diff --git a/.github/scripts/check-i18n-sync.mjs b/.github/scripts/i18n/check-i18n-sync.mjs similarity index 82% rename from .github/scripts/check-i18n-sync.mjs rename to .github/scripts/i18n/check-i18n-sync.mjs index 048343e56..19e7e86ca 100644 --- a/.github/scripts/check-i18n-sync.mjs +++ b/.github/scripts/i18n/check-i18n-sync.mjs @@ -5,20 +5,18 @@ * missing redirects for moved files fail the check. * * Usage (CI): - * node .github/scripts/check-i18n-sync.mjs + * node .github/scripts/i18n/check-i18n-sync.mjs * * Writes JSON summary to path in CHECK_I18N_OUTPUT env (optional). */ import { readFileSync, writeFileSync, existsSync } from "fs"; import { execSync } from "child_process"; -import { join, dirname } from "path"; -import { fileURLToPath } from "url"; +import { join } from "path"; +import { loadI18nConfig, REPO_ROOT, isEnglishMdxPath, targetRelFromEn } from "./i18n-config.mjs"; -const ROOT = join(dirname(fileURLToPath(import.meta.url)), "../.."); -const CONFIG = JSON.parse( - readFileSync(join(ROOT, ".github/scripts/translation-config.json"), "utf-8") -); +const ROOT = REPO_ROOT; +const CONFIG = loadI18nConfig(); const [baseSha, headSha] = process.argv.slice(2); if (!baseSha || !headSha) { @@ -26,8 +24,9 @@ if (!baseSha || !headSha) { process.exit(1); } -const languages = CONFIG.languages ?? []; -const skipPaths = CONFIG.skip_paths ?? ["built-in-nodes"]; +const languages = CONFIG.languages; +const skipPaths = CONFIG.skip_paths; +const pathFilterOpts = { languages, skip_paths: skipPaths }; function git(cmd) { return execSync(cmd, { cwd: ROOT, encoding: "utf-8" }).trim(); @@ -39,30 +38,7 @@ function gitLines(cmd) { } function shouldSkipEnglishPath(file) { - const normalized = file.replace(/\\/g, "/"); - if (!normalized.endsWith(".mdx")) return true; - - for (const lang of languages) { - if (normalized.startsWith(`${lang.dir}/`)) return true; - if (normalized.startsWith(`${lang.snippets_dir}/`)) return true; - } - for (const lang of languages) { - if (normalized.startsWith(`${lang.snippets_dir}/`)) return true; - } - - return skipPaths.some( - (skip) => - normalized === skip || - normalized.startsWith(`${skip}/`) || - normalized.includes(`/${skip}/`) - ); -} - -function targetPath(enFile, lang) { - if (enFile.startsWith("snippets/")) { - return enFile.replace(/^snippets\//, `${lang.snippets_dir}/`); - } - return `${lang.dir}/${enFile}`; + return !isEnglishMdxPath(file, pathFilterOpts); } function matchesPattern(filePath, pattern) { @@ -155,7 +131,7 @@ for (const lang of languages) { const missing = []; for (const file of changedFiles) { - const langFile = targetPath(file, lang); + const langFile = targetRelFromEn(file, lang); if (acmrtNames.includes(langFile)) { console.log(`✅ [${lang.code}] Found corresponding change: ${langFile}`); continue; @@ -169,7 +145,7 @@ for (const lang of languages) { } for (const file of addedFiles) { - const langFile = targetPath(file, lang); + const langFile = targetRelFromEn(file, lang); if (arNames.includes(langFile) || renamedDestinations.includes(langFile)) { console.log(`✅ [${lang.code}] Found corresponding added/renamed file: ${langFile}`); continue; diff --git a/.github/scripts/check-ja.ts b/.github/scripts/i18n/check-ja.ts similarity index 97% rename from .github/scripts/check-ja.ts rename to .github/scripts/i18n/check-ja.ts index 8a0cc7b99..1b1f97cb7 100644 --- a/.github/scripts/check-ja.ts +++ b/.github/scripts/i18n/check-ja.ts @@ -3,15 +3,15 @@ * Quality check for Japanese translation files. * * Usage: - * bun .github/scripts/check-ja.ts # check all ja/ files - * bun .github/scripts/check-ja.ts --verbose # show per-file details - * bun .github/scripts/check-ja.ts foo.mdx # check specific file(s) + * bun .github/scripts/i18n/check-ja.ts # check all ja/ files + * bun .github/scripts/i18n/check-ja.ts --verbose # show per-file details + * bun .github/scripts/i18n/check-ja.ts foo.mdx # check specific file(s) */ import { readdir, readFile } from "fs/promises"; import { join, relative } from "path"; -const ROOT = join(import.meta.dir, "../.."); +const ROOT = join(import.meta.dir, "../../.."); // --------------------------------------------------------------------------- // Helpers diff --git a/.github/scripts/i18n/check-translation-truncation.ts b/.github/scripts/i18n/check-translation-truncation.ts new file mode 100644 index 000000000..9258b7247 --- /dev/null +++ b/.github/scripts/i18n/check-translation-truncation.ts @@ -0,0 +1,406 @@ +#!/usr/bin/env bun +/** + * Detect likely truncated translations (unclosed code fences, short body, etc.) + * and write a repair list to .github/i18n-logs/translate/ (gitignored). + * + * Usage: + * npm run translate:check-truncation + * npm run translate:check-truncation -- --lang ko + * npm run translate:repair-truncated -- --lang ko # via translate-i18n.ts + */ + +import { readdir, readFile, writeFile, mkdir } from "fs/promises"; +import { join, relative } from "path"; +import { + loadI18nConfig, + REPO_ROOT, + stripLangPrefix, + isEnglishPagePath, + isEnglishSnippetPath, + parseLangArg as parseLangArgFromConfig, + targetRelFromEn, + TRANSLATE_LOG_DIR, + TRANSLATE_LOG_REL, + TRUNCATION_ISSUES_JSON, + TRUNCATION_ISSUES_TXT, +} from "./i18n-config.mjs"; + +const ROOT = REPO_ROOT; +const LOG_DIR = TRANSLATE_LOG_DIR; +const JSON_PATH = TRUNCATION_ISSUES_JSON; +const TXT_PATH = TRUNCATION_ISSUES_TXT; + +interface LangConfig { + code: string; + name: string; + dir: string; + snippets_dir: string; +} + +interface TranslationConfig { + skip_paths: string[]; + languages: LangConfig[]; +} + +export interface TruncationIssue { + lang: string; + enRel: string; + targetRel: string; + reasons: string[]; + detail: string; +} + +export interface TruncationReport { + generated: string; + languages: string[]; + issueCount: number; + issues: TruncationIssue[]; +} + +const config = loadI18nConfig() as TranslationConfig; +const pathFilterOpts = { languages: config.languages, skip_paths: config.skip_paths }; + +function parseFrontmatterAndBody(content: string): { body: string } { + const match = content.match(/^---\n[\s\S]*?\n---\n?([\s\S]*)$/); + return { body: match ? match[1] : content }; +} + +function countCodeFences(body: string): { open: boolean; openLang: string; openLine: number } { + const lines = body.split("\n"); + let open = false; + let openLang = ""; + let openLine = 0; + for (let i = 0; i < lines.length; i++) { + const line = lines[i]; + if (/^```/.test(line)) { + if (!open) { + open = true; + openLang = line.slice(3).trim(); + openLine = i + 1; + } else { + open = false; + openLang = ""; + openLine = 0; + } + } + } + return { open, openLang, openLine }; +} + +function countFencePairs(body: string): number { + const matches = body.match(/^```/gm); + return matches ? matches.length : 0; +} + +function enFenceCount(enBody: string): number { + return countFencePairs(enBody); +} + +function targetPath(enRel: string, lang: LangConfig): string { + if (enRel.startsWith("snippets/")) { + return join(ROOT, lang.snippets_dir, enRel.slice("snippets/".length)); + } + return join(ROOT, lang.dir, enRel); +} + +async function collectMdx(dir: string): Promise { + const results: string[] = []; + const entries = await readdir(dir, { withFileTypes: true }); + for (const entry of entries) { + const full = join(dir, entry.name); + if (entry.isDirectory()) { + results.push(...(await collectMdx(full))); + } else if (entry.name.endsWith(".mdx")) { + results.push(full); + } + } + return results; +} + +async function collectEnglishFiles(snippetsMode: boolean): Promise { + if (snippetsMode) { + const all = await collectMdx(join(ROOT, "snippets")); + return all + .map((f) => relative(join(ROOT, "snippets"), f)) + .filter((f) => isEnglishSnippetPath(f, pathFilterOpts)); + } + + const all = await collectMdx(ROOT); + return all + .map((f) => relative(ROOT, f)) + .filter((f) => isEnglishPagePath(f, pathFilterOpts)); +} + +export function detectTruncation( + enContent: string, + targetContent: string, + enRel: string +): TruncationIssue["reasons"] { + const reasons: string[] = []; + const enBody = parseFrontmatterAndBody(enContent).body; + const targetBody = parseFrontmatterAndBody(targetContent).body; + + const fence = countCodeFences(targetBody); + if (fence.open) { + reasons.push("unclosed_code_fence"); + } + + const enFences = enFenceCount(enBody); + const targetFences = countFencePairs(targetBody); + if (enFences >= 2 && targetFences < enFences) { + reasons.push("missing_code_fence"); + } + + const enLines = enBody.split("\n").filter((l) => l.trim().length > 0).length; + const targetLines = targetBody.split("\n").filter((l) => l.trim().length > 0).length; + if (enLines >= 40 && targetLines < enLines * 0.75) { + reasons.push("short_body"); + } + + const lastLine = targetBody.trimEnd().split("\n").pop()?.trim() ?? ""; + if (fence.open && /[=({[,;:]$/.test(lastLine)) { + reasons.push("ends_mid_expression"); + } + + if (enRel === "changelog/index.mdx") { + const enLabels = [...enBody.matchAll(/ m[1]); + const targetLabels = [...targetBody.matchAll(/ m[1]); + const missing = enLabels.filter((l) => !targetLabels.includes(l)); + if (missing.length > 0) { + reasons.push("missing_changelog_blocks"); + } + } + + return reasons; +} + +function formatDetail( + reasons: string[], + enContent: string, + targetContent: string +): string { + const parts: string[] = []; + const enBody = parseFrontmatterAndBody(enContent).body; + const targetBody = parseFrontmatterAndBody(targetContent).body; + const fence = countCodeFences(targetBody); + + if (reasons.includes("unclosed_code_fence")) { + parts.push( + `unclosed \`\`\`${fence.openLang || ""} block starting near line ${fence.openLine}` + ); + } + if (reasons.includes("missing_code_fence")) { + parts.push(`EN has ${enFenceCount(enBody)} fence markers, target has ${countFencePairs(targetBody)}`); + } + if (reasons.includes("short_body")) { + const enLines = enBody.split("\n").filter((l) => l.trim()).length; + const targetLines = targetBody.split("\n").filter((l) => l.trim()).length; + parts.push(`body lines ${targetLines} vs EN ${enLines} (<75%)`); + } + if (reasons.includes("ends_mid_expression")) { + const last = targetBody.trimEnd().split("\n").pop()?.trim() ?? ""; + parts.push(`ends with: ${last.slice(0, 80)}`); + } + if (reasons.includes("missing_changelog_blocks")) { + const enLabels = [...enBody.matchAll(/ m[1]); + const targetLabels = new Set( + [...targetBody.matchAll(/ m[1]) + ); + const missing = enLabels.filter((l) => !targetLabels.has(l)); + parts.push(`missing versions: ${missing.slice(0, 5).join(", ")}${missing.length > 5 ? "..." : ""}`); + } + return parts.join("; "); +} + +export async function scanTruncationIssues(options: { + langs: LangConfig[]; + snippetsMode?: boolean; + fileArgs?: string[]; + pairs?: { langCode: string; enRel: string }[]; +}): Promise { + const { langs, snippetsMode = false, fileArgs = [], pairs } = options; + + const issues: TruncationIssue[] = []; + + const jobs: { lang: LangConfig; enRel: string }[] = []; + if (pairs && pairs.length > 0) { + const langByCode = new Map(langs.map((l) => [l.code, l])); + for (const p of pairs) { + const lang = langByCode.get(p.langCode); + if (lang) jobs.push({ lang, enRel: p.enRel }); + } + } else { + let files = await collectEnglishFiles(snippetsMode); + if (fileArgs.length > 0) { + files = fileArgs + .map((f) => stripLangPrefix(f, config.languages)) + .filter((f) => + snippetsMode + ? isEnglishSnippetPath(f, pathFilterOpts) + : isEnglishPagePath(f, pathFilterOpts) + ); + } + for (const lang of langs) { + for (const enRel of files) { + jobs.push({ lang, enRel }); + } + } + } + + for (const { lang, enRel } of jobs) { + const enPath = snippetsMode ? join(ROOT, "snippets", enRel) : join(ROOT, enRel); + let enContent: string; + try { + enContent = await readFile(enPath, "utf-8"); + } catch { + continue; + } + if (enContent.length < 50) continue; + + const tp = targetPath(enRel, lang); + let targetContent: string; + try { + targetContent = await readFile(tp, "utf-8"); + } catch { + continue; + } + + const reasons = detectTruncation(enContent, targetContent, enRel); + if (reasons.length === 0) continue; + + issues.push({ + lang: lang.code, + enRel, + targetRel: targetRelFromEn(enRel, lang), + reasons, + detail: formatDetail(reasons, enContent, targetContent), + }); + } + + return issues; +} + +async function readExistingIssues(): Promise { + try { + const raw = await readFile(JSON_PATH, "utf-8"); + return (JSON.parse(raw) as TruncationReport).issues; + } catch { + return []; + } +} + +/** Merge new scan results; optionally drop prior issues for specific langs or file pairs. */ +export async function writeTruncationReport( + issues: TruncationIssue[], + options?: { replaceLangs?: string[]; replacePairs?: { lang: string; enRel: string }[] } +): Promise { + await mkdir(LOG_DIR, { recursive: true }); + + let merged = issues; + if (options?.replaceLangs?.length || options?.replacePairs?.length) { + const existing = await readExistingIssues(); + const langSet = new Set(options.replaceLangs ?? []); + const pairSet = new Set( + (options.replacePairs ?? []).map((p) => `${p.lang}:${p.enRel}`) + ); + const kept = existing.filter((i) => { + if (langSet.size > 0 && langSet.has(i.lang)) return false; + if (pairSet.size > 0 && pairSet.has(`${i.lang}:${i.enRel}`)) return false; + return true; + }); + merged = [...kept, ...issues]; + } + + const langs = [...new Set(merged.map((i) => i.lang))]; + const report: TruncationReport = { + generated: new Date().toISOString(), + languages: langs, + issueCount: merged.length, + issues: merged, + }; + + await writeFile(JSON_PATH, `${JSON.stringify(report, null, 2)}\n`); + + const lines = [ + "# Truncated translation issues (not committed to git)", + "", + `Generated: ${report.generated}`, + `Issues: ${issues.length}`, + "", + "Heuristics: unclosed code fences, missing fences vs EN, body <75% of EN length,", + "changelog missing blocks.", + "", + "Repair:", + " npm run translate:repair-truncated -- --lang ko", + "", + `Note: semantic AI review notes (mismatch) are separate — see ${TRANSLATE_LOG_REL}/mismatches.txt`, + " (only written when `npm run translate` runs and the model reports issues).", + "", + "---", + "", + ]; + + for (const issue of issues) { + lines.push(`## [${issue.lang}] ${issue.enRel}`); + lines.push(`- Target: \`${issue.targetRel}\``); + lines.push(`- Reasons: ${issue.reasons.join(", ")}`); + lines.push(`- Detail: ${issue.detail}`); + lines.push(""); + } + + await writeFile(TXT_PATH, lines.join("\n")); +} + +export async function readTruncationRepairList(langFilter?: string[]): Promise { + try { + const raw = await readFile(JSON_PATH, "utf-8"); + const report = JSON.parse(raw) as TruncationReport; + const enRels = report.issues + .filter((i) => !langFilter || langFilter.includes(i.lang)) + .map((i) => i.enRel); + return [...new Set(enRels)]; + } catch { + return []; + } +} + +function parseLangArg(args: string[]): LangConfig[] { + try { + return parseLangArgFromConfig(args, config.languages) as LangConfig[]; + } catch (err: unknown) { + console.error(err instanceof Error ? err.message : String(err)); + process.exit(1); + } +} + +async function main() { + const args = process.argv.slice(2); + const snippetsMode = args.includes("--snippets"); + const langs = parseLangArg(args); + const fileArgs = args.filter((a, i) => !a.startsWith("--") && args[i - 1] !== "--lang"); + + const issues = await scanTruncationIssues({ langs, snippetsMode, fileArgs }); + await writeTruncationReport(issues, { + replaceLangs: langs.length < config.languages.length ? langs.map((l) => l.code) : undefined, + }); + + console.log(`Truncation scan: ${issues.length} issue(s)`); + for (const issue of issues.slice(0, 20)) { + console.log(` [${issue.lang}] ${issue.enRel} (${issue.reasons.join(", ")})`); + } + if (issues.length > 20) console.log(` ... and ${issues.length - 20} more`); + + console.log(`\nLog: ${TXT_PATH}`); + console.log(`JSON: ${JSON_PATH}`); + if (issues.length > 0) { + console.log("\nRepair: npm run translate:repair-truncated -- --lang "); + } +} + +const isMain = import.meta.main ?? import.meta.path === Bun.main; +if (isMain) { + main().catch((err) => { + console.error(err); + process.exit(1); + }); +} diff --git a/.github/scripts/fix-zh-leaks.ts b/.github/scripts/i18n/fix-zh-leaks.ts similarity index 95% rename from .github/scripts/fix-zh-leaks.ts rename to .github/scripts/i18n/fix-zh-leaks.ts index 84ca28b6c..5ded5b71b 100644 --- a/.github/scripts/fix-zh-leaks.ts +++ b/.github/scripts/i18n/fix-zh-leaks.ts @@ -7,11 +7,11 @@ * 2. --llm Use a cheap LLM to detect & fix unknown Chinese leaks * * Usage: - * bun .github/scripts/fix-zh-leaks.ts --dict # dict-only, all files - * bun .github/scripts/fix-zh-leaks.ts --llm # LLM scan, all files - * bun .github/scripts/fix-zh-leaks.ts --dict --llm # both - * bun .github/scripts/fix-zh-leaks.ts --dict file1.mdx # specific files - * bun .github/scripts/fix-zh-leaks.ts --dry-run --dict # show what would change + * bun .github/scripts/i18n/fix-zh-leaks.ts --dict # dict-only, all files + * bun .github/scripts/i18n/fix-zh-leaks.ts --llm # LLM scan, all files + * bun .github/scripts/i18n/fix-zh-leaks.ts --dict --llm # both + * bun .github/scripts/i18n/fix-zh-leaks.ts --dict file1.mdx # specific files + * bun .github/scripts/i18n/fix-zh-leaks.ts --dry-run --dict # show what would change * * LLM env (uses TRANSLATE_CJK_* or falls back to a cheap model): * FIX_ZH_MODEL - model for scanning (default: qwen-plus, or use a cheap one like qwen-turbo) @@ -23,7 +23,7 @@ import { readdir, readFile, writeFile, mkdir } from "fs/promises"; import { join, relative } from "path"; import { getActiveDict } from "./zh-ja-dict"; -const ROOT = join(import.meta.dir, "../.."); +const ROOT = join(import.meta.dir, "../../.."); // Load .env.local async function loadEnvLocal() { diff --git a/.github/scripts/i18n/i18n-config.mjs b/.github/scripts/i18n/i18n-config.mjs new file mode 100644 index 000000000..a27071758 --- /dev/null +++ b/.github/scripts/i18n/i18n-config.mjs @@ -0,0 +1,251 @@ +/** + * Shared i18n path rules derived from translation-config.json. + * Add a language under `languages` only — exclude dirs and path helpers update automatically. + */ + +import { readFileSync } from "fs"; +import { join, dirname } from "path"; +import { fileURLToPath } from "url"; + +const SCRIPT_DIR = dirname(fileURLToPath(import.meta.url)); + +/** Repo root (`.github/scripts/i18n` → three levels up). */ +export const REPO_ROOT = join(SCRIPT_DIR, "../../.."); + +export const CONFIG_PATH = join(SCRIPT_DIR, "translation-config.json"); + +/** + * Gitignored translation run logs. Lives under `.github/` so Mintlify does not + * parse human-readable summaries as MDX (unlike repo-root `tmp/*.md`). + */ +export const TRANSLATE_LOG_REL = ".github/i18n-logs/translate"; +export const TRANSLATE_LOG_DIR = join(REPO_ROOT, TRANSLATE_LOG_REL); +export const TRUNCATION_ISSUES_JSON = join(TRANSLATE_LOG_DIR, "truncation-issues.json"); +export const TRUNCATION_ISSUES_TXT = join(TRANSLATE_LOG_DIR, "truncation-issues.txt"); +export const MISMATCHES_JSON = join(TRANSLATE_LOG_DIR, "mismatches.json"); +export const MISMATCHES_TXT = join(TRANSLATE_LOG_DIR, "mismatches.txt"); + +/** Repo roots that are never English MDX sources (pages). */ +export const REPO_META_PREFIXES = [ + "snippets/", + "node_modules/", + ".github/", + "tmp/", + "readme/", +]; + +/** + * @typedef {Object} LangConfig + * @property {string} code + * @property {string} name + * @property {string} dir + * @property {string} snippets_dir + */ + +/** + * @typedef {Object} I18nConfig + * @property {LangConfig[]} languages + * @property {string[]} skip_paths + * @property {string[]} extra_exclude_dirs + * @property {string[]} exclude_dirs + * @property {Array<{path: string, strategy: string}>} chunked_files + * @property {string[]} preserve_terms + */ + +/** @returns {I18nConfig} */ +export function loadI18nConfig(configPath = CONFIG_PATH) { + const raw = JSON.parse(readFileSync(configPath, "utf-8")); + const languages = raw.languages ?? []; + const skip_paths = raw.skip_paths ?? ["built-in-nodes"]; + const extra_exclude_dirs = raw.extra_exclude_dirs ?? []; + const exclude_dirs = [ + ...languages.flatMap((l) => [l.dir, l.snippets_dir]), + ...extra_exclude_dirs, + ]; + + return { + ...raw, + languages, + skip_paths, + extra_exclude_dirs, + exclude_dirs, + chunked_files: raw.chunked_files ?? [], + preserve_terms: raw.preserve_terms ?? [], + }; +} + +export function normalizeRelPath(relPath) { + return relPath.replace(/\\/g, "/"); +} + +function escapeRegex(value) { + return value.replace(/[.*+?^${}()|[\]\\]/g, "\\$&"); +} + +/** All translation directory prefixes, longest first (snippets/zh before zh). */ +export function translationPrefixes(languages) { + return [...new Set(languages.flatMap((l) => [l.snippets_dir, l.dir]))].sort( + (a, b) => b.length - a.length + ); +} + +/** @param {string} relPath @param {LangConfig[]} languages */ +export function isUnderTranslationDir(relPath, languages) { + const normalized = normalizeRelPath(relPath); + for (const lang of languages) { + if (normalized === lang.dir || normalized.startsWith(`${lang.dir}/`)) return true; + if (normalized.startsWith(`${lang.snippets_dir}/`)) return true; + } + return false; +} + +/** @param {string} relPath @param {LangConfig[]} languages */ +export function stripLangPrefix(relPath, languages) { + const normalized = normalizeRelPath(relPath); + for (const prefix of translationPrefixes(languages)) { + if (normalized.startsWith(`${prefix}/`)) { + return normalized.slice(prefix.length + 1); + } + } + return normalized; +} + +/** @param {string} relPath @param {string[]} skip_paths */ +export function shouldSkipPath(relPath, skip_paths) { + const normalized = normalizeRelPath(relPath); + return skip_paths.some( + (skip) => + normalized === skip || + normalized.startsWith(`${skip}/`) || + normalized.includes(`/${skip}/`) + ); +} + +/** @param {string} relPath */ +export function isRepoMetaPath(relPath) { + const normalized = normalizeRelPath(relPath); + return REPO_META_PREFIXES.some((p) => normalized.startsWith(p)); +} + +const NON_CONTENT_PREFIXES = ["node_modules/", ".github/", "tmp/", "readme/"]; + +/** + * English MDX at repo root or under snippets/ (not under a language dir). + * @param {string} relPath + * @param {{ languages: LangConfig[], skip_paths: string[] }} options + */ +export function isEnglishMdxPath(relPath, { languages, skip_paths }) { + const normalized = normalizeRelPath(relPath); + if (!normalized.endsWith(".mdx")) return false; + if (isUnderTranslationDir(normalized, languages)) return false; + if (shouldSkipPath(normalized, skip_paths)) return false; + if (NON_CONTENT_PREFIXES.some((p) => normalized.startsWith(p))) return false; + return true; +} + +/** English page MDX (excludes snippets/). */ +export function isEnglishPagePath(relPath, options) { + const normalized = normalizeRelPath(relPath); + if (normalized.startsWith("snippets/")) return false; + return isEnglishMdxPath(relPath, options); +} + +/** English snippet MDX; relPath is relative to snippets/ root. */ +export function isEnglishSnippetPath(relPath, options) { + return isEnglishMdxPath(`snippets/${normalizeRelPath(relPath)}`, options); +} + +/** @param {LangConfig[]} languages */ +export function snippetLocaleExcludePattern(languages) { + return languages.map((l) => `${escapeRegex(l.code)}\\/`).join("|"); +} + +/** + * Locale codes for href/md path localization (skip already-prefixed paths). + * @param {LangConfig[]} languages + * @param {{ currentCode?: string, extras?: string[] }} [options] + */ +export function pathLocaleExcludePattern(languages, options = {}) { + const { currentCode, extras = [] } = options; + const codes = languages.map((l) => l.code); + const list = currentCode + ? [currentCode, ...codes.filter((c) => c !== currentCode), ...extras] + : [...codes, ...extras]; + return [...new Set(list)].map(escapeRegex).join("|"); +} + +/** @param {string} enRel @param {LangConfig} lang */ +export function targetRelFromEn(enRel, lang) { + const normalized = normalizeRelPath(enRel); + if (normalized.startsWith("snippets/")) { + return `${lang.snippets_dir}/${normalized.slice("snippets/".length)}`; + } + return `${lang.dir}/${normalized}`; +} + +/** + * Localize internal links and snippet imports for a target language. + * @param {string} content + * @param {LangConfig} lang + * @param {LangConfig[]} languages + */ +export function localizeMdxPaths(content, lang, languages) { + const langPrefix = lang.code; + const hrefExclude = pathLocaleExcludePattern(languages, { + currentCode: langPrefix, + extras: ["logo", "images", "snippets", "http"], + }); + + let output = content.replace( + new RegExp(`href="\\/(?!${hrefExclude}\\/)([^"]*?)"`, "g"), + `href="/${langPrefix}/$1"` + ); + + output = output.replace( + new RegExp( + `from\\s+["']\\/snippets\\/(?!${snippetLocaleExcludePattern(languages)})([^"']+)["']`, + "g" + ), + `from "/${lang.snippets_dir}/$1"` + ); + + const mdExclude = pathLocaleExcludePattern(languages, { + currentCode: langPrefix, + extras: ["logo", "images", "snippets", "http", "#"], + }); + output = output.replace( + new RegExp(`\\]\\(\\/(?!${mdExclude})([^)]*?)\\)`, "g"), + `](/${langPrefix}/$1)` + ); + + return output; +} + +/** + * @param {string[]} args argv slice(2) + * @param {LangConfig[]} languages + * @returns {LangConfig[]} + */ +export function parseLangArg(args, languages) { + const langIdx = args.indexOf("--lang"); + if (langIdx === -1) return languages; + const value = args[langIdx + 1]; + if (!value) { + const codes = languages.map((l) => l.code).join(", "); + throw new Error(`--lang requires a comma-separated list, e.g. --lang ${codes}`); + } + const codes = value.split(",").map((c) => c.trim()).filter(Boolean); + const selected = languages.filter((l) => codes.includes(l.code)); + const unknown = codes.filter((c) => !languages.some((l) => l.code === c)); + if (unknown.length > 0) { + throw new Error( + `Unknown language code(s): ${unknown.join(", ")}. Available: ${languages.map((l) => l.code).join(", ")}` + ); + } + return selected; +} + +/** @param {LangConfig[]} languages */ +export function languageCodesList(languages) { + return languages.map((l) => l.code).join(", "); +} diff --git a/.github/scripts/i18n/nav-label-translate.mjs b/.github/scripts/i18n/nav-label-translate.mjs new file mode 100644 index 000000000..1aae0f388 --- /dev/null +++ b/.github/scripts/i18n/nav-label-translate.mjs @@ -0,0 +1,264 @@ +/** + * Batch-translate docs.json navigation labels (tab / group titles). + * All labels for a locale are collected from the English nav tree, sent in + * one (or few chunked) API call(s), then applied via a lookup map. + */ + +import { readFileSync } from "fs"; +import { join } from "path"; +import { REPO_ROOT, loadI18nConfig } from "./i18n-config.mjs"; + +/** Labels that stay in English across locales (product / protocol names). */ +export const NAV_LABEL_PRESERVE = [ + "ComfyUI", + "Comfy Desktop", + "ComfyUI-Manager", + "CLI", + "UI", + "API", + "MCP", + "Cloud API", + "Registry API Reference", + "Cloud API Reference", + "ComfyUI Server API", + "3D", + "Flux", + "Qwen", + "Z-Image", + "HiDream", + "ControlNet", + "LoRA", + "JSON", + "GitHub", +]; + +/** Max labels per API request (entire nav tree is usually one batch). */ +const LABEL_BATCH_SIZE = 250; + +function loadEnvLocal() { + try { + const content = readFileSync(join(REPO_ROOT, ".env.local"), "utf-8"); + for (const line of content.split("\n")) { + const trimmed = line.trim(); + if (!trimmed || trimmed.startsWith("#")) continue; + const eq = trimmed.indexOf("="); + if (eq === -1) continue; + const key = trimmed.slice(0, eq).trim(); + const val = trimmed.slice(eq + 1).trim(); + if (!process.env[key]) process.env[key] = val; + } + } catch {} +} + +/** @returns {boolean} */ +export function shouldPreserveNavLabel(label) { + const trimmed = label.trim(); + return NAV_LABEL_PRESERVE.some( + (term) => trimmed === term || trimmed.startsWith(`${term} `) || trimmed.endsWith(` ${term}`) + ); +} + +/** + * Collect every tab title and group name from the English navigation entry. + * @param {object} enEntry + * @returns {string[]} + */ +export function collectAllNavLabelsFromEn(enEntry) { + /** @type {Set} */ + const labels = new Set(); + for (const tab of enEntry.tabs ?? []) { + if (tab.tab) labels.add(tab.tab); + collectGroupLabelsFromPages(tab.pages, labels); + } + return [...labels].filter(Boolean).sort(); +} + +/** @param {unknown} pages @param {Set} labels */ +function collectGroupLabelsFromPages(pages, labels) { + if (!Array.isArray(pages)) return; + for (const node of pages) { + if (typeof node === "string") continue; + if (node.group) labels.add(node.group); + if (node.pages) collectGroupLabelsFromPages(node.pages, labels); + } +} + +/** @param {string} enLabel @param {Map} labelMap */ +export function lookupNavLabel(enLabel, labelMap) { + if (!enLabel) return enLabel; + if (shouldPreserveNavLabel(enLabel)) return enLabel; + return labelMap.get(enLabel) ?? enLabel; +} + +function getTranslateConfig() { + loadEnvLocal(); + const apiKey = + process.env.TRANSLATE_API_KEY ?? + process.env.DEEPSEEK_API_KEY ?? + process.env.TRANSLATE_CJK_API_KEY ?? + process.env.DASHSCOPE_API_KEY ?? + ""; + const baseUrl = + process.env.TRANSLATE_API_BASE_URL ?? + process.env.TRANSLATE_CJK_BASE_URL ?? + "https://dashscope-intl.aliyuncs.com/compatible-mode/v1"; + const model = + process.env.TRANSLATE_API_MODEL ?? + process.env.TRANSLATE_CJK_MODEL ?? + "qwen-mt-plus"; + return { apiKey, baseUrl, model }; +} + +/** + * @param {string[]} batch + * @param {{ name: string }} lang + * @param {string[]} preserveTerms + * @param {Record} [existingReference] + */ +async function translateNavLabelBatch(batch, lang, preserveTerms, existingReference = {}) { + const { apiKey, baseUrl, model } = getTranslateConfig(); + if (!apiKey) { + throw new Error( + "No API key for nav label translation. Set TRANSLATE_API_KEY in .env.local" + ); + } + + const numbered = batch.map((l, i) => `${i + 1}. ${l}`).join("\n"); + const referenceEntries = Object.entries(existingReference).filter( + ([en, localized]) => localized && localized !== en + ); + const promptParts = [ + `Translate these Mintlify documentation sidebar labels from English into ${lang.name}.`, + "They are short navigation tab or group titles (not full sentences).", + `Keep these terms in English when they appear: ${[...new Set(preserveTerms)].join(", ")}.`, + "Return ONLY a JSON object: keys = exact English labels from the numbered list below, values = translations.", + "Match terminology and tone of any existing translations provided for consistency.", + "Include every numbered key. No markdown fences.", + ]; + if (referenceEntries.length > 0) { + promptParts.push( + "", + "Existing translations in this locale (reference only — keep style consistent; do not repeat these in output unless the same English key appears below):", + JSON.stringify(Object.fromEntries(referenceEntries), null, 0) + ); + } + promptParts.push("", "Translate these English labels:", numbered); + const prompt = promptParts.join("\n"); + + const response = await fetch(`${baseUrl}/chat/completions`, { + method: "POST", + headers: { + "Content-Type": "application/json", + Authorization: `Bearer ${apiKey}`, + }, + body: JSON.stringify({ + model, + messages: [{ role: "user", content: prompt }], + temperature: 0.2, + max_tokens: 8192, + ...(model.startsWith("qwen-mt") + ? { translation_options: { source_lang: "English", target_lang: lang.name } } + : {}), + }), + }); + + if (!response.ok) { + const err = await response.text(); + throw new Error(`Nav label API ${response.status}: ${err}`); + } + + const data = await response.json(); + let raw = data.choices?.[0]?.message?.content?.trim() ?? ""; + raw = raw.replace(/^```(?:json)?\s*/i, "").replace(/\s*```$/i, ""); + + /** @type {Record} */ + let parsed; + try { + parsed = JSON.parse(raw); + } catch { + throw new Error(`Nav label API returned invalid JSON: ${raw.slice(0, 200)}`); + } + + if (!parsed || typeof parsed !== "object" || Array.isArray(parsed)) { + throw new Error("Nav label API must return a JSON object"); + } + + /** @type {Map} */ + const batchMap = new Map(); + for (const label of batch) { + const translated = parsed[label]; + if (typeof translated !== "string" || !translated.trim()) { + throw new Error(`Nav label API missing translation for: ${label}`); + } + batchMap.set(label, translated.trim()); + } + return batchMap; +} + +/** + * Pack nav labels into batch API call(s), return en → target map. + * Skips labels that already have a localized value in existingMap. + * @param {string[]} labels English labels that may still need translation + * @param {{ name: string, code?: string }} lang + * @param {{ preserveTerms?: string[], existingMap?: Map, onBatch?: (info: { batch: number, total: number, count: number }) => void }} [options] + * @returns {Promise>} + */ +export async function translateNavLabels(labels, lang, options = {}) { + const preserveTerms = [ + ...NAV_LABEL_PRESERVE, + ...(options.preserveTerms ?? []), + ...(loadI18nConfig().preserve_terms ?? []), + ]; + + const existingMap = options.existingMap ?? new Map(); + const unique = [...new Set(labels)].filter(Boolean); + + /** @type {Map} */ + const result = new Map(); + + for (const label of unique) { + if (shouldPreserveNavLabel(label)) { + result.set(label, label); + continue; + } + const existing = existingMap.get(label); + if (existing && existing !== label) { + result.set(label, existing); + } + } + + const toTranslate = unique.filter((l) => { + if (shouldPreserveNavLabel(l)) return false; + const existing = existingMap.get(l); + return !existing || existing === l; + }); + + if (toTranslate.length === 0) return result; + + const existingReference = Object.fromEntries( + [...existingMap.entries()].filter(([, localized]) => localized) + ); + + const batches = []; + for (let i = 0; i < toTranslate.length; i += LABEL_BATCH_SIZE) { + batches.push(toTranslate.slice(i, i + LABEL_BATCH_SIZE)); + } + + for (let i = 0; i < batches.length; i++) { + const batch = batches[i]; + options.onBatch?.({ + batch: i + 1, + total: batches.length, + count: batch.length, + }); + const batchMap = await translateNavLabelBatch( + batch, + lang, + preserveTerms, + existingReference + ); + for (const [key, val] of batchMap) result.set(key, val); + } + + return result; +} diff --git a/.github/scripts/i18n/sync-docs-json.mjs b/.github/scripts/i18n/sync-docs-json.mjs new file mode 100644 index 000000000..98d9074f1 --- /dev/null +++ b/.github/scripts/i18n/sync-docs-json.mjs @@ -0,0 +1,594 @@ +/** + * Sync Mintlify navigation in docs.json from the English tree. + * + * Mirrors EN tab structure and page paths for each configured language, + * prefixing paths with the language directory (e.g. ko/installation/foo). + * Preserves localized tab/group labels when subtrees overlap; translates + * remaining English labels via the translation API. + */ + +import { readFileSync, readdirSync, writeFileSync } from "fs"; +import { join } from "path"; +import { REPO_ROOT, loadI18nConfig } from "./i18n-config.mjs"; +import { + translateNavLabels, + collectAllNavLabelsFromEn, + lookupNavLabel, + shouldPreserveNavLabel, +} from "./nav-label-translate.mjs"; + +/** + * Walk EN + synced nav in parallel; collect en label → existing locale title. + * @param {object} enEntry + * @param {object} syncedEntry + * @returns {Map} + */ +export function collectExistingNavLabelMap(enEntry, syncedEntry) { + /** @type {Map} */ + const map = new Map(); + const enTabs = enEntry.tabs ?? []; + const syncedTabs = syncedEntry.tabs ?? []; + for (let i = 0; i < enTabs.length; i++) { + collectExistingTabLabels(enTabs[i], syncedTabs[i], map); + } + return map; +} + +/** @param {object | undefined} enTab @param {object | undefined} syncedTab @param {Map} map */ +function collectExistingTabLabels(enTab, syncedTab, map) { + if (!enTab || !syncedTab) return; + if (enTab.tab && syncedTab.tab) map.set(enTab.tab, syncedTab.tab); + if (enTab.pages && syncedTab.pages) { + collectExistingPageLabels(enTab.pages, syncedTab.pages, map); + } +} + +/** @param {unknown[]} enPages @param {unknown[]} syncedPages @param {Map} map */ +function collectExistingPageLabels(enPages, syncedPages, map) { + if (!Array.isArray(enPages) || !Array.isArray(syncedPages)) return; + for (let i = 0; i < enPages.length; i++) { + const en = enPages[i]; + const synced = syncedPages[i]; + if (typeof en === "string" || typeof synced === "string") continue; + if (en?.group && synced?.group) map.set(en.group, synced.group); + if (en?.pages && synced?.pages) { + collectExistingPageLabels(en.pages, synced.pages, map); + } + } +} + +/** @param {Map} existingMap @param {string} enLabel */ +function isAlreadyLocalized(existingMap, enLabel) { + const existing = existingMap.get(enLabel); + return Boolean(existing && existing !== enLabel); +} + +export const DOCS_JSON_PATH = join(REPO_ROOT, "docs.json"); + +/** + * Resolve a nav page path to the on-disk path (case-correct). Returns null if missing. + * @param {string} pagePath + */ +export function resolvePagePathOnDisk(pagePath) { + const parts = pagePath.split("/"); + let dir = REPO_ROOT; + for (let i = 0; i < parts.length; i++) { + const seg = parts[i]; + const isLast = i === parts.length - 1; + let entries; + try { + entries = readdirSync(dir); + } catch { + return null; + } + const want = isLast ? `${seg}.mdx` : seg; + const match = entries.find((e) => e.toLowerCase() === want.toLowerCase()); + if (!match) return null; + if (isLast) { + return join(...parts.slice(0, -1), match.replace(/\.mdx$/i, "")) + .replace(/\\/g, "/") + .replace(/^\.\//, ""); + } + dir = join(dir, match); + } + return pagePath; +} + +/** + * Fix page path casing and optionally drop paths with no MDX on disk. + * Removes groups that become empty after pruning. + * @param {unknown} nodes + * @param {{ pruneMissing?: boolean }} [options] + */ +export function normalizeNavTree(nodes, options = {}) { + const { pruneMissing = false } = options; + if (!Array.isArray(nodes)) return []; + + /** @type {unknown[]} */ + const out = []; + for (const node of nodes) { + if (typeof node === "string") { + const resolved = resolvePagePathOnDisk(node); + if (!resolved) { + if (!pruneMissing) out.push(node); + continue; + } + out.push(resolved); + continue; + } + if (node && typeof node === "object" && Array.isArray(node.pages)) { + const pages = normalizeNavTree(node.pages, options); + if (pages.length === 0 && pruneMissing) continue; + out.push({ ...node, pages }); + } + } + return out; +} + +/** @param {string} path @param {string[]} langDirs */ +export function hasLangDirPrefix(path, langDirs) { + return langDirs.some((dir) => path === dir || path.startsWith(`${dir}/`)); +} + +/** @param {string} path @param {string[]} langDirs */ +export function toEnRelativePath(path, langDirs) { + for (const dir of [...langDirs].sort((a, b) => b.length - a.length)) { + if (path === dir) return "index"; + if (path.startsWith(`${dir}/`)) return path.slice(dir.length + 1); + } + return path; +} + +/** @param {string} path @param {string} langDir @param {string[]} langDirs */ +export function localizePagePath(path, langDir, langDirs) { + if (hasLangDirPrefix(path, langDirs)) return path; + return `${langDir}/${path}`; +} + +/** + * @param {unknown} nodes + * @param {string} langDir + * @param {string[]} langDirs + */ +export function localizeNavTree(nodes, langDir, langDirs) { + if (!Array.isArray(nodes)) return []; + return nodes.map((node) => { + if (typeof node === "string") { + return localizePagePath(node, langDir, langDirs); + } + if (node && typeof node === "object" && Array.isArray(node.pages)) { + return { + ...node, + pages: localizeNavTree(node.pages, langDir, langDirs), + }; + } + return node; + }); +} + +/** @param {unknown} nodes @param {string[]} langDirs */ +export function collectPagePaths(nodes, langDirs) { + /** @type {string[]} */ + const paths = []; + if (!Array.isArray(nodes)) return paths; + for (const node of nodes) { + if (typeof node === "string") { + paths.push(node); + } else if (node && typeof node === "object" && Array.isArray(node.pages)) { + paths.push(...collectPagePaths(node.pages, langDirs)); + } + } + return paths; +} + +/** @param {unknown} nodes @param {string[]} langDirs */ +function structuralSignature(nodes, langDirs) { + return collectPagePaths(nodes, langDirs) + .map((p) => toEnRelativePath(p, langDirs)) + .sort() + .join("\0"); +} + +/** + * @param {unknown[]} existingPages + * @param {string} signature + * @param {string[]} langDirs + */ +function findGroupBySignature(existingPages, signature, langDirs) { + if (!Array.isArray(existingPages)) return null; + for (const node of existingPages) { + if (typeof node === "string" || !node?.pages) continue; + if (structuralSignature(node.pages, langDirs) === signature) return node; + } + return null; +} + +/** @param {object} newChild @param {object} existingNode @param {string[]} langDirs */ +function pathOverlapScore(newChild, existingNode, langDirs) { + const pathsA = new Set( + collectPagePaths(newChild.pages, langDirs).map((p) => toEnRelativePath(p, langDirs)) + ); + const pathsB = new Set( + collectPagePaths(existingNode.pages, langDirs).map((p) => + toEnRelativePath(p, langDirs) + ) + ); + if (pathsB.size === 0) return 0; + const intersection = [...pathsB].filter((p) => pathsA.has(p)).length; + return intersection / pathsB.size; +} + +/** + * @param {unknown[]} existingPages + * @param {object} newChild + * @param {string[]} langDirs + */ +function findGroupMatch(existingPages, newChild, langDirs) { + const signature = structuralSignature(newChild.pages, langDirs); + const exact = findGroupBySignature(existingPages, signature, langDirs); + if (exact) return exact; + + if (!Array.isArray(existingPages)) return null; + let best = null; + let bestScore = 0.35; + for (const node of existingPages) { + if (typeof node === "string" || !node?.pages) continue; + const score = pathOverlapScore(newChild, node, langDirs); + if (score > bestScore) { + bestScore = score; + best = node; + } + } + return best; +} + +/** + * @param {unknown[]} newPages + * @param {unknown[]} existingPages + * @param {string[]} langDirs + */ +export function mergeNavPages(newPages, existingPages, langDirs) { + if (!Array.isArray(newPages)) return []; + return newPages.map((newChild) => { + if (typeof newChild === "string") return newChild; + if (!newChild?.pages) return newChild; + + const match = findGroupMatch(existingPages, newChild, langDirs); + const merged = { ...newChild }; + if (match?.group) merged.group = match.group; + if (match?.icon) merged.icon = match.icon; + merged.pages = mergeNavPages(newChild.pages, match?.pages ?? [], langDirs); + return merged; + }); +} + +/** + * Apply a full English → locale label map by walking the EN tree in parallel. + * @param {unknown[]} syncedPages + * @param {unknown[]} enPages + * @param {Map} labelMap + */ +function applyLabelMapToPages(syncedPages, enPages, labelMap) { + if (!Array.isArray(syncedPages) || !Array.isArray(enPages)) return syncedPages; + return syncedPages.map((synced, i) => { + if (typeof synced === "string") return synced; + const en = enPages[i]; + const next = { ...synced }; + if (en?.group) next.group = lookupNavLabel(en.group, labelMap); + if (synced.pages && en?.pages) { + next.pages = applyLabelMapToPages(synced.pages, en.pages, labelMap); + } + return next; + }); +} + +/** @param {object} syncedTab @param {object | undefined} enTab @param {Map} labelMap */ +function applyLabelMapToTab(syncedTab, enTab, labelMap) { + if (!enTab) return syncedTab; + if (enTab.openapi != null) return syncedTab; + const next = { ...syncedTab }; + if (enTab.tab) next.tab = lookupNavLabel(enTab.tab, labelMap); + if (syncedTab.pages && enTab.pages) { + next.pages = applyLabelMapToPages(syncedTab.pages, enTab.pages, labelMap); + } + return next; +} + +/** @param {object} syncedEntry @param {object} enEntry @param {Map} labelMap */ +function applyLabelMapToEntry(syncedEntry, enEntry, labelMap) { + const enTabs = enEntry.tabs ?? []; + const syncedTabs = syncedEntry.tabs ?? []; + return { + ...syncedEntry, + tabs: syncedTabs.map((syncedTab, i) => + applyLabelMapToTab(syncedTab, enTabs[i], labelMap) + ), + }; +} + +/** @param {unknown} openapi @param {string} langDir */ +export function localizeOpenApi(openapi, langDir) { + if (typeof openapi === "string") return openapi; + if (openapi && typeof openapi === "object" && typeof openapi.directory === "string") { + const directory = openapi.directory.startsWith(`${langDir}/`) + ? openapi.directory + : `${langDir}/${openapi.directory}`; + return { ...openapi, directory }; + } + return openapi; +} + +/** @param {unknown} tabs @param {string[]} langDirs */ +function collectTabPagePaths(tabs, langDirs) { + /** @type {string[]} */ + const paths = []; + if (!Array.isArray(tabs)) return paths; + for (const tab of tabs) { + if (tab?.pages) paths.push(...collectPagePaths(tab.pages, langDirs)); + } + return paths; +} + +/** + * @param {object} enTab + * @param {object | undefined} existingTab + * @param {{ dir: string }} lang + * @param {string[]} langDirs + */ +export function syncTab(enTab, existingTab, lang, langDirs) { + if (enTab.openapi != null) { + return { + tab: existingTab?.tab ?? enTab.tab, + openapi: localizeOpenApi(enTab.openapi, lang.dir), + }; + } + + const localizedPages = localizeNavTree(enTab.pages ?? [], lang.dir, langDirs); + const mergedPages = mergeNavPages( + localizedPages, + existingTab?.pages ?? [], + langDirs + ); + const normalizedPages = normalizeNavTree(mergedPages, { + pruneMissing: lang.code !== "en", + }); + + return { + tab: existingTab?.tab ?? enTab.tab, + pages: normalizedPages, + }; +} + +/** + * @param {object} enEntry + * @param {object | null} langEntry + * @param {{ code: string, dir: string }} lang + * @param {string[]} langDirs + */ +export function syncLanguageEntry(enEntry, langEntry, lang, langDirs) { + const syncedTabs = (enEntry.tabs ?? []).map((enTab, i) => + syncTab(enTab, langEntry?.tabs?.[i], lang, langDirs) + ); + + return { + ...(langEntry ?? {}), + language: lang.code, + tabs: syncedTabs, + }; +} + +/** + * @param {object} enEntry + * @param {object} syncedEntry + * @param {{ name: string }} lang + * @param {{ dryRun?: boolean, translateLabels?: boolean }} options + */ +async function translateNavLabelsForEntry(enEntry, syncedEntry, lang, options) { + const allLabels = collectAllNavLabelsFromEn(enEntry); + const existingMap = collectExistingNavLabelMap(enEntry, syncedEntry); + const kept = allLabels.filter( + (l) => shouldPreserveNavLabel(l) || isAlreadyLocalized(existingMap, l) + ); + const needsTranslation = allLabels.filter( + (l) => !shouldPreserveNavLabel(l) && !isAlreadyLocalized(existingMap, l) + ); + + if (needsTranslation.length === 0) { + const labelMap = new Map( + allLabels.map((l) => [l, lookupNavLabel(l, existingMap)]) + ); + return { + entry: applyLabelMapToEntry(syncedEntry, enEntry, labelMap), + translatedLabels: [], + keptLabels: kept.length, + }; + } + + if (options.dryRun || options.translateLabels === false) { + return { + entry: syncedEntry, + translatedLabels: needsTranslation, + keptLabels: kept.length, + pendingOnly: true, + }; + } + + console.log( + `[${lang.code}] Nav labels: ${kept.length} kept, ${needsTranslation.length} to translate` + + (kept.length > 0 ? ` (${kept.length} existing as reference)` : "") + ); + + const labelMap = await translateNavLabels(needsTranslation, lang, { + existingMap, + onBatch: ({ batch, total, count }) => { + if (total > 1) { + console.log(` [${lang.code}] Nav labels batch ${batch}/${total} (${count} labels)`); + } + }, + }); + + for (const l of allLabels) { + if (!labelMap.has(l)) { + labelMap.set(l, lookupNavLabel(l, existingMap)); + } + } + + return { + entry: applyLabelMapToEntry(syncedEntry, enEntry, labelMap), + translatedLabels: needsTranslation.map((l) => `${l} → ${labelMap.get(l)}`), + keptLabels: kept.length, + }; +} + +/** + * @param {object} docsJson + * @param {Array<{ code: string, dir: string }>} languages + * @param {{ selectedCodes?: string[] }} [options] + */ +export async function syncDocsJsonNavigation(docsJson, languages, options = {}) { + const selectedCodes = options.selectedCodes ?? languages.map((l) => l.code); + const langDirs = languages.map((l) => l.dir); + const nav = docsJson.navigation; + if (!nav?.languages) { + throw new Error("docs.json missing navigation.languages"); + } + + const enEntry = nav.languages.find((l) => l.language === "en"); + if (!enEntry) { + throw new Error("docs.json missing English (en) navigation entry"); + } + + // Fix EN path casing to match on-disk MDX filenames (case-sensitive hosts / Mintlify). + const normalizedEnTabs = (enEntry.tabs ?? []).map((tab) => { + if (tab?.openapi != null || !tab?.pages) return tab; + return { ...tab, pages: normalizeNavTree(tab.pages, { pruneMissing: false }) }; + }); + if (JSON.stringify(normalizedEnTabs) !== JSON.stringify(enEntry.tabs)) { + enEntry.tabs = normalizedEnTabs; + } + + /** @type {Array<{ lang: string, added: string[], removed: string[], translatedLabels: string[], pendingLabels?: string[] }>} */ + const changes = []; + + for (const lang of languages) { + if (!selectedCodes.includes(lang.code)) continue; + + const idx = nav.languages.findIndex((l) => l.language === lang.code); + const existing = idx >= 0 ? nav.languages[idx] : null; + let synced = syncLanguageEntry(enEntry, existing, lang, langDirs); + + /** @type {{ entry: object, translatedLabels: string[], pendingOnly?: boolean }} */ + let labelResult; + try { + labelResult = await translateNavLabelsForEntry(enEntry, synced, lang, { + dryRun: options.dryRun, + translateLabels: options.translateLabels, + }); + } catch (err) { + const msg = err instanceof Error ? err.message : String(err); + console.warn(`[${lang.code}] Nav label translation skipped: ${msg}`); + labelResult = { entry: synced, translatedLabels: [] }; + } + synced = labelResult.entry; + + const oldPaths = new Set( + collectTabPagePaths(existing?.tabs, langDirs).map((p) => + toEnRelativePath(p, langDirs) + ) + ); + const newPaths = new Set( + collectTabPagePaths(synced.tabs, langDirs).map((p) => + toEnRelativePath(p, langDirs) + ) + ); + + const added = [...newPaths].filter((p) => !oldPaths.has(p)).sort(); + const removed = [...oldPaths].filter((p) => !newPaths.has(p)).sort(); + const structureChanged = JSON.stringify(existing?.tabs) !== JSON.stringify(synced.tabs); + const labelsChanged = + labelResult.translatedLabels.length > 0 && !labelResult.pendingOnly; + + if (structureChanged || labelsChanged) { + changes.push({ + lang: lang.code, + added, + removed, + translatedLabels: labelResult.translatedLabels, + pendingLabels: labelResult.pendingOnly + ? labelResult.translatedLabels + : undefined, + }); + if (idx >= 0) { + nav.languages[idx] = synced; + } else { + nav.languages.push(synced); + } + } + } + + return { docsJson, changes }; +} + +/** + * @param {{ selectedCodes?: string[], dryRun?: boolean, docsJsonPath?: string }} [options] + */ +export async function syncDocsJsonFile(options = {}) { + const config = loadI18nConfig(); + const docsJsonPath = options.docsJsonPath ?? DOCS_JSON_PATH; + const docsJson = JSON.parse(readFileSync(docsJsonPath, "utf-8")); + const { changes } = await syncDocsJsonNavigation(docsJson, config.languages, { + selectedCodes: options.selectedCodes, + dryRun: options.dryRun, + translateLabels: options.translateLabels, + }); + + if (changes.length === 0) { + return { changed: false, changes, docsJsonPath }; + } + + if (!options.dryRun) { + writeFileSync(docsJsonPath, `${JSON.stringify(docsJson, null, 2)}\n`, "utf-8"); + } + + return { changed: true, changes, docsJsonPath }; +} + +/** + * @param {Array<{ lang: string, added: string[], removed: string[] }>} changes + */ +export function formatNavSyncReport(changes) { + if (changes.length === 0) { + return "docs.json navigation: already in sync with English structure."; + } + + const lines = ["docs.json navigation updates:"]; + for (const { lang, added, removed, translatedLabels, pendingLabels } of changes) { + lines.push(` [${lang}] +${added.length} / -${removed.length} page path(s)`); + for (const path of added.slice(0, 12)) { + lines.push(` + ${path}`); + } + if (added.length > 12) lines.push(` ... +${added.length - 12} more`); + for (const path of removed.slice(0, 8)) { + lines.push(` - ${path}`); + } + if (removed.length > 8) lines.push(` ... -${removed.length - 8} more`); + if (pendingLabels?.length) { + lines.push(` nav labels batch (${pendingLabels.length} total, dry-run):`); + for (const label of pendingLabels.slice(0, 8)) { + lines.push(` · ${label}`); + } + if (pendingLabels.length > 8) { + lines.push(` ... +${pendingLabels.length - 8} more`); + } + } else if (translatedLabels?.length) { + lines.push(` nav labels translated (${translatedLabels.length} new):`); + for (const label of translatedLabels.slice(0, 8)) { + lines.push(` · ${label}`); + } + if (translatedLabels.length > 8) { + lines.push(` ... +${translatedLabels.length - 8} more`); + } + } + } + return lines.join("\n"); +} diff --git a/.github/scripts/translate-i18n.ts b/.github/scripts/i18n/translate-i18n.ts similarity index 58% rename from .github/scripts/translate-i18n.ts rename to .github/scripts/i18n/translate-i18n.ts index a74da5bb2..2db1ce626 100644 --- a/.github/scripts/translate-i18n.ts +++ b/.github/scripts/i18n/translate-i18n.ts @@ -12,12 +12,16 @@ * Skips paths listed in translation-config.json skip_paths (e.g. built-in-nodes). * * Usage: - * npm run translate # all configured languages + * npm run translate # pages + snippets (default) * npm run translate:dry-run # preview pending files * npm run translate -- --lang zh,ja # specific languages * npm run translate:force # re-translate everything * npm run translate:snippets # snippets only + * npm run translate -- --pages-only # pages only, skip snippets * npm run translate -- installation/foo.mdx # specific files + * npm run translate:check-truncation # scan for truncated translations + * npm run translate:repair-truncated -- --lang ko # re-translate files from truncation log + * npm run translate:sync-docs-json -- --lang ko # sync docs.json paths + translate nav labels * * Requires Bun: https://bun.sh * @@ -36,13 +40,34 @@ import { readdir, readFile, writeFile, mkdir } from "fs/promises"; import { createHash } from "crypto"; import { join, dirname, relative } from "path"; +import { + readTruncationRepairList, + scanTruncationIssues, + writeTruncationReport, +} from "./check-translation-truncation.ts"; +import { + loadI18nConfig, + REPO_ROOT, + stripLangPrefix, + isEnglishPagePath, + isEnglishSnippetPath, + localizeMdxPaths, + parseLangArg as parseLangArgFromConfig, + TRANSLATE_LOG_DIR, + TRANSLATE_LOG_REL, + MISMATCHES_JSON, + MISMATCHES_TXT, +} from "./i18n-config.mjs"; +import { + syncDocsJsonFile, + formatNavSyncReport, +} from "./sync-docs-json.mjs"; // --------------------------------------------------------------------------- // Load .env.local // --------------------------------------------------------------------------- -const ROOT = join(import.meta.dir, "../.."); -const CONFIG_PATH = join(import.meta.dir, "translation-config.json"); +const ROOT = REPO_ROOT; async function loadEnvLocal() { try { @@ -83,7 +108,8 @@ interface TranslationConfig { preserve_terms: string[]; } -const config: TranslationConfig = JSON.parse(await readFile(CONFIG_PATH, "utf-8")); +const config = loadI18nConfig() as TranslationConfig; +const pathFilterOpts = { languages: config.languages, skip_paths: config.skip_paths }; const BASE_URL = process.env.TRANSLATE_API_BASE_URL ?? @@ -105,8 +131,82 @@ const CONCURRENCY = Number( "5" ); const IS_QWEN_MT = MODEL.startsWith("qwen-mt"); -const TRANSLATE_LOG_DIR = join(ROOT, "tmp/translate"); -const MISMATCHES_LOG_PATH = join(TRANSLATE_LOG_DIR, "mismatches.md"); +const MISMATCHES_LOG_PATH = MISMATCHES_TXT; +const MISMATCHES_JSON_PATH = MISMATCHES_JSON; + +interface MismatchEntry { + lang: string; + enRel: string; + issues: string[]; +} + +interface MismatchReport { + generated: string; + model: string; + issueCount: number; + entries: MismatchEntry[]; +} + +async function readExistingMismatches(): Promise { + try { + const raw = await readFile(MISMATCHES_JSON_PATH, "utf-8"); + return (JSON.parse(raw) as MismatchReport).entries; + } catch { + return []; + } +} + +/** Merge AI-reported mismatches; drop prior entries for files re-translated in this run. */ +async function writeMismatchReport( + newEntries: MismatchEntry[], + scannedPairs: { lang: string; enRel: string }[] +): Promise { + await mkdir(TRANSLATE_LOG_DIR, { recursive: true }); + + const pairSet = new Set(scannedPairs.map((p) => `${p.lang}:${p.enRel}`)); + const kept = (await readExistingMismatches()).filter( + (e) => !pairSet.has(`${e.lang}:${e.enRel}`) + ); + const merged = [...kept, ...newEntries.filter((e) => e.issues.length > 0)]; + + const report: MismatchReport = { + generated: new Date().toISOString(), + model: MODEL, + issueCount: merged.length, + entries: merged, + }; + + await writeFile(MISMATCHES_JSON_PATH, `${JSON.stringify(report, null, 2)}\n`); + + const lines = [ + "# Translation review notes (not committed to git)", + "", + `Generated: ${report.generated}`, + `Model: ${MODEL}`, + `Files with notes: ${merged.length}`, + "", + "AI-reported semantic issues from `npm run translate` (not from truncation scan).", + "Only written when the model appends `=== MISMATCHES ===` to its output.", + "Path localization (/zh/, /ja/, /ko/, snippets) may appear here but is often expected.", + "", + `See also: \`${TRANSLATE_LOG_REL}/truncation-issues.txt\` (structural cuts — unclosed fences, short body).`, + "", + "---", + "", + ]; + + if (merged.length === 0) { + lines.push("_No mismatch notes on record._", ""); + } else { + for (const { enRel, lang, issues } of merged) { + lines.push(`## [${lang}] ${enRel}`); + for (const issue of issues) lines.push(`- ${issue}`); + lines.push(""); + } + } + + await writeFile(MISMATCHES_LOG_PATH, lines.join("\n")); +} const SKIP_PATHS: string[] = config.skip_paths ?? ["built-in-nodes"]; const CHUNKED_FILES: ChunkedFileConfig[] = config.chunked_files ?? []; const PRESERVE_TERMS: string[] = config.preserve_terms ?? []; @@ -130,19 +230,50 @@ function getExistingHash(content: string): string | null { return htmlComment?.[1] ?? null; } +/** Remove AI mismatch notes that leaked into YAML (orphan list items, field suffixes). */ +function sanitizeFrontmatterBody(body: string): string { + const lines = body.split("\n"); + const out: string[] = []; + for (let i = 0; i < lines.length; i++) { + const line = lines[i]; + if (line.trim() === "translationMismatches:") { + while (i + 1 < lines.length && /^ - /.test(lines[i + 1])) i++; + continue; + } + if (/^ - "/.test(line)) continue; + if (/^[^:]+:\s*.+\s+"description"\s*$/.test(line) && !line.startsWith("description:")) { + out.push(line.replace(/\s+"description"\s*$/, "")); + continue; + } + out.push(line); + } + return out.join("\n"); +} + +function sanitizeMdxFrontmatter(content: string): string { + const fmMatch = content.match(/^(---\n)([\s\S]*?)(\n---)/); + if (!fmMatch) return content; + const [, open, body, close] = fmMatch; + const sanitized = sanitizeFrontmatterBody(body); + if (sanitized === body) return content; + return `${open}${sanitized}${close}${content.slice(fmMatch[0].length)}`; +} + function stripTranslationMetaFromFrontmatter(body: string): string { - return body - .replace(/\ntranslationSourceHash:.*/, "") - .replace(/\ntranslationFrom:.*/, "") - .replace(/\ntranslationBlockHashes:[\s\S]*?(?=\n[A-Za-z_][\w-]*:|\s*$)/, "") - .replace(/\ntranslationMismatches:(?:\n\s+-.*?)*/g, "") - .replace(/^translationSourceHash:.*\n?/, "") - .replace(/^translationFrom:.*\n?/, "") - .replace(/^translationBlockHashes:[\s\S]*?(?=^[A-Za-z_][\w-]*:|\s*$)/m, "") - .replace(/^translationMismatches:(?:\n\s+-.*?)*/g, ""); -} - -/** Inject or update translation metadata in frontmatter (hash only — mismatches go to tmp/translate/) */ + return sanitizeFrontmatterBody( + body + .replace(/\ntranslationSourceHash:.*/, "") + .replace(/\ntranslationFrom:.*/, "") + .replace(/\ntranslationBlockHashes:[\s\S]*?(?=\n[A-Za-z_][\w-]*:|\s*$)/, "") + .replace(/\ntranslationMismatches:(?:\n\s+-.*?)*/g, "") + .replace(/^translationSourceHash:.*\n?/, "") + .replace(/^translationFrom:.*\n?/, "") + .replace(/^translationBlockHashes:[\s\S]*?(?=^[A-Za-z_][\w-]*:|\s*$)/m, "") + .replace(/^translationMismatches:(?:\n\s+-.*?)*/g, "") + ); +} + +/** Inject or update translation metadata in frontmatter (hash only — mismatches go to .github/i18n-logs/translate/) */ function setTranslationMeta(content: string, hash: string, enPath: string): string { const metaBlock = [`translationSourceHash: ${hash}`, `translationFrom: ${enPath}`].join("\n"); @@ -173,16 +304,6 @@ async function readFileOr(path: string, fallback = ""): Promise { } } -function shouldSkipPath(relPath: string): boolean { - const normalized = relPath.replace(/\\/g, "/"); - return SKIP_PATHS.some( - (skip) => - normalized === skip || - normalized.startsWith(`${skip}/`) || - normalized.includes(`/${skip}/`) - ); -} - async function collectMdx(dir: string): Promise { const results: string[] = []; const entries = await readdir(dir, { withFileTypes: true }); @@ -198,24 +319,12 @@ async function collectMdx(dir: string): Promise { } function parseLangArg(args: string[]): LangConfig[] { - const langIdx = args.indexOf("--lang"); - if (langIdx === -1) return config.languages; - - const value = args[langIdx + 1]; - if (!value) { - console.error("--lang requires a comma-separated list, e.g. --lang zh,ja"); - process.exit(1); - } - - const codes = value.split(",").map((c) => c.trim()).filter(Boolean); - const selected = config.languages.filter((l) => codes.includes(l.code)); - const unknown = codes.filter((c) => !selected.some((l) => l.code === c)); - if (unknown.length > 0) { - console.error(`Unknown language code(s): ${unknown.join(", ")}`); - console.error(`Available: ${config.languages.map((l) => l.code).join(", ")}`); + try { + return parseLangArgFromConfig(args, config.languages) as LangConfig[]; + } catch (err: unknown) { + console.error(err instanceof Error ? err.message : String(err)); process.exit(1); } - return selected; } // --------------------------------------------------------------------------- @@ -365,49 +474,23 @@ interface PathMapping { } function makeMapping(lang: LangConfig, relPath: string, snippetsMode: boolean): PathMapping { + const enRel = stripLangPrefix(relPath, config.languages); if (snippetsMode) { return { - enPath: join(ROOT, "snippets", relPath), - targetPath: join(ROOT, lang.snippets_dir, relPath), - enRel: `snippets/${relPath}`, - targetRel: `${lang.snippets_dir}/${relPath}`, + enPath: join(ROOT, "snippets", enRel), + targetPath: join(ROOT, lang.snippets_dir, enRel), + enRel: `snippets/${enRel}`, + targetRel: `${lang.snippets_dir}/${enRel}`, }; } return { - enPath: join(ROOT, relPath), - targetPath: join(ROOT, lang.dir, relPath), - enRel: relPath, - targetRel: `${lang.dir}/${relPath}`, + enPath: join(ROOT, enRel), + targetPath: join(ROOT, lang.dir, enRel), + enRel, + targetRel: `${lang.dir}/${enRel}`, }; } -function localizePaths(content: string, langCode: string, snippetsDir: string): string { - const langPrefix = langCode; - const otherLangs = config.languages.map((l) => l.code).filter((c) => c !== langCode); - - // href="/path" → href="/{lang}/path" - const hrefExclude = [langPrefix, ...otherLangs, "logo", "images", "snippets", "http"].join("|"); - let output = content.replace( - new RegExp(`href="\\/(?!${hrefExclude}\\/)([^"]*?)"`, "g"), - `href="/${langPrefix}/$1"` - ); - - // import from "/snippets/..." → "/snippets/{lang}/..." - output = output.replace( - /from\s+["']\/snippets\/(?!zh\/|ja\/)([^"']+)["']/g, - `from "/${snippetsDir}/$1"` - ); - - // Markdown links ](/path) → ](/{lang}/path) - const mdExclude = [langPrefix, ...otherLangs, "logo", "images", "snippets", "http", "#"].join("|"); - output = output.replace( - new RegExp(`\\]\\(\\/(?!${mdExclude})([^)]*?)\\)`, "g"), - `](/${langPrefix}/$1)` - ); - - return output; -} - function cleanModelOutput(text: string): string { let output = text; output = output.replace(/[\s\S]*?<\/think>\s*/g, ""); @@ -496,13 +579,48 @@ function getChunkedSyncStatus( }; } +interface ChunkedBlockSlot { + label: string; + content: string | null; +} + +function serializeChunkedDocument( + frontmatter: string, + slots: ChunkedBlockSlot[], + fileHash: string, + enRel: string +): string { + const body = slots + .map((s) => s.content) + .filter((c): c is string => c !== null) + .join("\n\n"); + return setTranslationMeta(`${frontmatter}\n${body}\n`, fileHash, enRel); +} + +async function writeChunkedCheckpoint( + targetPath: string, + frontmatter: string, + slots: ChunkedBlockSlot[], + fileHash: string, + enRel: string, + label?: string +): Promise { + await mkdir(dirname(targetPath), { recursive: true }); + await writeFile(targetPath, serializeChunkedDocument(frontmatter, slots, fileHash, enRel)); + if (label) { + const done = slots.filter((s) => s.content !== null).length; + console.log(` Saved ${label} → disk (${done}/${slots.length} blocks)`); + } +} + async function translateUpdateChunkedFile( relPath: string, lang: LangConfig, force: boolean, enContent: string, existingContent: string, - enRel: string + enRel: string, + targetPath: string ): Promise<{ mismatches: string[]; status: "translated" | "skipped" | "up-to-date"; @@ -519,10 +637,16 @@ async function translateUpdateChunkedFile( const existingByLabel = new Map( (existingDoc?.blocks ?? []).map((b) => [b.label, b.content]) ); + const fileHash = changelogLabelHash(enDoc); + + const slots: ChunkedBlockSlot[] = enDoc.blocks.map((b) => ({ + label: b.label, + content: !force && existingByLabel.has(b.label) ? existingByLabel.get(b.label)! : null, + })); const allMismatches: string[] = []; - const outputBlocks: string[] = []; let blocksTranslated = 0; + let frontmatterDirty = false; let translatedFrontmatter = existingDoc?.frontmatter ?? ""; if (force || status.needsFrontmatter) { @@ -535,52 +659,57 @@ async function translateUpdateChunkedFile( lang, `${relPath}#frontmatter` ); - translatedFrontmatter = cleanModelOutput(fmResult.content); + translatedFrontmatter = sanitizeMdxFrontmatter(cleanModelOutput(fmResult.content)); if (!translatedFrontmatter.trim().startsWith("---")) { translatedFrontmatter = enDoc.frontmatter; } allMismatches.push(...fmResult.mismatches); + frontmatterDirty = true; + await writeChunkedCheckpoint(targetPath, translatedFrontmatter, slots, fileHash, enRel); } else { translatedFrontmatter = existingDoc!.frontmatter; } - for (const enBlock of enDoc.blocks) { - const existingBlock = existingByLabel.get(enBlock.label); + for (const slot of slots) { + if (slot.content !== null) continue; - if (!force && existingBlock) { - outputBlocks.push(existingBlock); - continue; - } + const enBlock = enDoc.blocks.find((b) => b.label === slot.label)!; + const existingBlock = existingByLabel.get(slot.label); - console.log(` Translating block: ${enBlock.label}...`); + console.log(` Translating block: ${slot.label}...`); const blockResult = IS_QWEN_MT ? await translateWithQwenMT(enBlock.content, existingBlock ?? "", lang) : await translateWithLLM( enBlock.content, existingBlock ?? "", lang, - `${relPath}#${enBlock.label}` + `${relPath}#${slot.label}` ); let translatedBlock = cleanModelOutput(blockResult.content); - translatedBlock = localizePaths(translatedBlock, lang.code, lang.snippets_dir); + translatedBlock = localizeMdxPaths(translatedBlock, lang, config.languages); if (!translatedBlock.includes(" 0 || status.needsFrontmatter; + const output = serializeChunkedDocument(translatedFrontmatter, slots, fileHash, enRel); + const didWork = blocksTranslated > 0 || frontmatterDirty || status.needsFrontmatter; return { mismatches: allMismatches, @@ -623,7 +752,8 @@ async function translateFile( force, enContent, existingContent, - enRel + enRel, + targetPath ); if (chunked.status === "up-to-date" || !chunked.output) { return { @@ -632,8 +762,6 @@ async function translateFile( blocksTranslated: 0, }; } - await mkdir(dirname(targetPath), { recursive: true }); - await writeFile(targetPath, chunked.output); return { mismatches: chunked.mismatches, status: "translated", @@ -651,8 +779,8 @@ async function translateFile( ? await translateWithQwenMT(enContent, existingContent, lang) : await translateWithLLM(enContent, existingContent, lang, relPath); - let output = cleanModelOutput(result.content); - output = localizePaths(output, lang.code, lang.snippets_dir); + let output = sanitizeMdxFrontmatter(cleanModelOutput(result.content)); + output = localizeMdxPaths(output, lang, config.languages); if (snippetsMode) { output = setSnippetHash(output, hash); @@ -692,70 +820,122 @@ async function pool( async function collectEnglishFiles(snippetsMode: boolean, fileArgs: string[]): Promise { if (fileArgs.length > 0) { return fileArgs - .map((f) => f.replace(/^(ja\/|zh\/|snippets\/(ja|zh)\/)/, "")) - .filter((f) => !shouldSkipPath(f)); + .map((f) => stripLangPrefix(f, config.languages)) + .filter((f) => + snippetsMode + ? isEnglishSnippetPath(f, pathFilterOpts) + : isEnglishPagePath(f, pathFilterOpts) + ); } if (snippetsMode) { const all = await collectMdx(join(ROOT, "snippets")); return all .map((f) => relative(join(ROOT, "snippets"), f)) - .filter((f) => !f.startsWith("zh/") && !f.startsWith("ja/")) - .filter((f) => !shouldSkipPath(f)); + .filter((f) => isEnglishSnippetPath(f, pathFilterOpts)); } const all = await collectMdx(ROOT); return all .map((f) => relative(ROOT, f)) - .filter( - (f) => - !f.startsWith("zh/") && - !f.startsWith("ja/") && - !f.startsWith("snippets/") && - !f.startsWith("node_modules/") && - !f.startsWith(".github/") && - !f.startsWith("tmp/") - ) - .filter((f) => !shouldSkipPath(f)); + .filter((f) => isEnglishPagePath(f, pathFilterOpts)); } // --------------------------------------------------------------------------- -// Main +// docs.json navigation sync // --------------------------------------------------------------------------- -async function main() { - if (!API_KEY) { - console.error( - "No API key. Set TRANSLATE_API_KEY or DEEPSEEK_API_KEY in .env.local" +async function runDocsJsonSync( + selectedLangs: LangConfig[], + dryRun: boolean, + options: { translateLabels?: boolean } = {} +): Promise { + const result = await syncDocsJsonFile({ + selectedCodes: selectedLangs.map((l) => l.code), + dryRun, + translateLabels: options.translateLabels, + }); + console.log(formatNavSyncReport(result.changes)); + if (result.changed && dryRun) { + console.log("(dry-run: docs.json not written)"); + } else if (result.changed) { + console.log(`Updated ${result.docsJsonPath}`); + } + return result.changed; +} + +// --------------------------------------------------------------------------- +// Translate phases (pages + snippets) +// --------------------------------------------------------------------------- + +type TranslateJob = { relPath: string; lang: LangConfig }; + +interface TranslatePhasePlan { + snippetsMode: boolean; + fileArgs: string[]; + label: string; +} + +function filterFileArgsForPhase(fileArgs: string[], snippetsMode: boolean): string[] { + return fileArgs + .map((f) => stripLangPrefix(f, config.languages)) + .filter((f) => + snippetsMode + ? isEnglishSnippetPath(f.replace(/^snippets\//, ""), pathFilterOpts) + : isEnglishPagePath(f, pathFilterOpts) ); - process.exit(1); +} + +function resolveTranslatePhases( + snippetsOnly: boolean, + pagesOnly: boolean, + fileArgs: string[] +): TranslatePhasePlan[] { + if (snippetsOnly) { + return [{ snippetsMode: true, fileArgs, label: "snippets" }]; + } + if (pagesOnly) { + return [{ snippetsMode: false, fileArgs, label: "pages" }]; } + if (fileArgs.length > 0) { + const plans: TranslatePhasePlan[] = []; + const pageArgs = filterFileArgsForPhase(fileArgs, false); + const snippetArgs = filterFileArgsForPhase(fileArgs, true); + if (pageArgs.length > 0) { + plans.push({ snippetsMode: false, fileArgs: pageArgs, label: "pages" }); + } + if (snippetArgs.length > 0) { + plans.push({ snippetsMode: true, fileArgs: snippetArgs, label: "snippets" }); + } + return plans.length > 0 ? plans : [{ snippetsMode: false, fileArgs, label: "pages" }]; + } + return [ + { snippetsMode: false, fileArgs: [], label: "pages" }, + { snippetsMode: true, fileArgs: [], label: "snippets" }, + ]; +} - const args = process.argv.slice(2); - const dryRun = args.includes("--dry-run"); - const force = args.includes("--force"); - const snippetsMode = args.includes("--snippets"); - const selectedLangs = parseLangArg(args); - const fileArgs = args.filter( - (a, i) => !a.startsWith("--") && args[i - 1] !== "--lang" - ); +async function runTranslatePhase(options: { + snippetsMode: boolean; + fileArgs: string[]; + phaseLabel: string; + selectedLangs: LangConfig[]; + dryRun: boolean; + force: boolean; + repairTruncated: boolean; +}): Promise<{ translatedJobs: TranslateJob[]; failed: number }> { + const { snippetsMode, fileArgs, phaseLabel, selectedLangs, dryRun, force } = options; - console.log( - `Config: model=${MODEL} concurrency=${CONCURRENCY} mode=${IS_QWEN_MT ? "qwen-mt" : "llm"}` + - ` languages=${selectedLangs.map((l) => l.code).join(",")}` + - `${snippetsMode ? " [snippets]" : ""}` + - ` skip=[${SKIP_PATHS.join(", ")}]` - ); + console.log(`\n=== ${phaseLabel} ===`); const files = await collectEnglishFiles(snippetsMode, fileArgs); if (files.length === 0) { - console.log("No files to process."); - return; + console.log(`No ${phaseLabel} files to process.`); + return { translatedJobs: [], failed: 0 }; } - type Job = { relPath: string; lang: LangConfig }; - const pending: Job[] = []; - const upToDate: Job[] = []; + const pending: TranslateJob[] = []; + const upToDate: TranslateJob[] = []; for (const lang of selectedLangs) { for (const relPath of files) { @@ -773,30 +953,24 @@ async function main() { if (!snippetsMode && isChunkedFile(relPath)) { const chunkedStatus = getChunkedSyncStatus(enContent, existing, false); - if (chunkedStatus.upToDate) { - upToDate.push(job); - } else { - pending.push(job); - } + if (chunkedStatus.upToDate) upToDate.push(job); + else pending.push(job); continue; } const hash = sourceHash(enContent); - if (existing && getExistingHash(existing) === hash) { - upToDate.push(job); - } else { - pending.push(job); - } + if (existing && getExistingHash(existing) === hash) upToDate.push(job); + else pending.push(job); } } console.log( - `Files: ${files.length} EN sources × ${selectedLangs.length} lang(s) = ${files.length * selectedLangs.length} pairs; ` + + `${phaseLabel}: ${files.length} EN sources × ${selectedLangs.length} lang(s) = ${files.length * selectedLangs.length} pairs; ` + `${upToDate.length} up-to-date, ${pending.length} pending` ); if (dryRun) { - console.log("\nWould translate:"); + console.log(`Would translate (${phaseLabel}):`); for (const { relPath, lang } of pending.slice(0, 40)) { if (!snippetsMode && isChunkedFile(relPath)) { const enContent = await readFileOr(makeMapping(lang, relPath, false).enPath); @@ -809,38 +983,35 @@ async function main() { } const detail = parts.length > 0 ? ` (${parts.join(", ")})` : ""; console.log(` [${lang.code}] ${relPath}${detail}`); - if (cs.pendingBlocks.length > 0 && cs.pendingBlocks.length <= 5) { - for (const label of cs.pendingBlocks) { - console.log(` - ${label}`); - } - } } else { console.log(` [${lang.code}] ${relPath}`); } } if (pending.length > 40) console.log(` ... and ${pending.length - 40} more`); - return; + return { translatedJobs: [], failed: 0 }; } if (pending.length === 0) { - console.log("Everything up-to-date. Use --force to re-translate."); - return; + console.log(`${phaseLabel}: everything up-to-date.`); + return { translatedJobs: [], failed: 0 }; } await mkdir(TRANSLATE_LOG_DIR, { recursive: true }); - const allMismatches: { file: string; lang: string; issues: string[] }[] = []; + const runMismatches: MismatchEntry[] = []; let translated = 0; let skipped = 0; let failed = 0; + const translatedJobs: TranslateJob[] = []; const startTime = Date.now(); await pool(pending, CONCURRENCY, async ({ relPath, lang }, idx) => { - const tag = `[${idx + 1}/${pending.length}]`; + const tag = `[${phaseLabel} ${idx + 1}/${pending.length}]`; try { const result = await translateFile(relPath, lang, force, snippetsMode); const label = `[${lang.code}] ${relPath}`; if (result.status === "translated") { translated++; + translatedJobs.push({ relPath, lang }); const blockNote = result.blocksTranslated != null && result.blocksTranslated > 0 ? ` (${result.blocksTranslated} block(s))` @@ -849,7 +1020,7 @@ async function main() { result.mismatches.length > 0 ? ` (${result.mismatches.length} mismatches)` : ""; console.log(`${tag} OK ${label}${blockNote}${mismatchNote}`); if (result.mismatches.length > 0) { - allMismatches.push({ file: relPath, lang: lang.code, issues: result.mismatches }); + runMismatches.push({ enRel: relPath, lang: lang.code, issues: result.mismatches }); } } else { skipped++; @@ -862,32 +1033,172 @@ async function main() { } }); - if (allMismatches.length > 0) { - const lines = [ - "# Translation review notes (not committed to git)", - "", - `Generated: ${new Date().toISOString()}`, - `Model: ${MODEL}`, - `Files with notes: ${allMismatches.length}`, - "", - "These are AI-reported differences between English and the translation.", - "Path localization (/zh/, /ja/, snippets) may appear here but is expected.", - "", - "---", - "", - ]; - for (const { file, lang, issues } of allMismatches) { - lines.push(`## [${lang}] ${file}`); - for (const issue of issues) lines.push(`- ${issue}`); - lines.push(""); + const elapsed = ((Date.now() - startTime) / 1000).toFixed(1); + console.log( + `${phaseLabel} done in ${elapsed}s: ${translated} translated, ${skipped} skipped, ${failed} failed` + ); + if (failed > 0) console.log("Re-run to retry failed files."); + + if (translatedJobs.length > 0) { + const pairs = translatedJobs.map((j) => ({ + langCode: j.lang.code, + enRel: j.relPath, + })); + const scannedPairs = pairs.map((p) => ({ lang: p.langCode, enRel: p.enRel })); + + await writeMismatchReport(runMismatches, scannedPairs); + if (runMismatches.length > 0) { + console.log( + `Mismatch notes (${phaseLabel}): ${runMismatches.length} file(s) → ${TRANSLATE_LOG_REL}/mismatches.txt` + ); + } + + const issues = await scanTruncationIssues({ + langs: selectedLangs, + snippetsMode, + pairs, + }); + await writeTruncationReport(issues, { replacePairs: pairs }); + const newIssues = issues.filter((i) => + pairs.some((p) => p.langCode === i.lang && p.enRel === i.enRel) + ); + if (newIssues.length > 0) { + console.log( + `Truncation check (${phaseLabel}): ${newIssues.length} issue(s) → ${TRANSLATE_LOG_REL}/truncation-issues.txt` + ); } - await writeFile(MISMATCHES_LOG_PATH, lines.join("\n")); - console.log(`\nReview notes written to: ${MISMATCHES_LOG_PATH} (gitignored)`); } - const elapsed = ((Date.now() - startTime) / 1000).toFixed(1); - console.log(`\nDone in ${elapsed}s: ${translated} translated, ${skipped} skipped, ${failed} failed`); - if (failed > 0) console.log("Re-run to retry failed files."); + return { translatedJobs, failed }; +} + +// --------------------------------------------------------------------------- +// Main +// --------------------------------------------------------------------------- + +async function main() { + const args = process.argv.slice(2); + const dryRun = args.includes("--dry-run"); + const checkTruncation = args.includes("--check-truncation"); + const repairTruncated = args.includes("--repair-truncated"); + const syncDocsJsonOnly = args.includes("--sync-docs-json"); + const skipDocsJsonSync = args.includes("--no-sync-docs-json"); + const force = args.includes("--force") || repairTruncated; + const snippetsOnly = args.includes("--snippets") || args.includes("--snippets-only"); + const pagesOnly = args.includes("--pages-only") || args.includes("--no-snippets"); + const selectedLangs = parseLangArg(args); + let fileArgs = args.filter( + (a, i) => !a.startsWith("--") && args[i - 1] !== "--lang" + ); + const phases = resolveTranslatePhases(snippetsOnly, pagesOnly, fileArgs); + const runDocsJsonAfter = !snippetsOnly && !skipDocsJsonSync; + + if (syncDocsJsonOnly) { + if (!API_KEY) { + console.warn( + "No API key — syncing page paths only; nav labels that still match English will not be translated." + ); + console.warn("Set TRANSLATE_API_KEY in .env.local to translate group/tab titles."); + } + await runDocsJsonSync(selectedLangs, dryRun, { + translateLabels: Boolean(API_KEY), + }); + return; + } + + if (checkTruncation) { + const scanPhases = snippetsOnly + ? [{ snippetsMode: true, fileArgs, label: "snippets" }] + : pagesOnly + ? [{ snippetsMode: false, fileArgs, label: "pages" }] + : [ + { snippetsMode: false, fileArgs, label: "pages" }, + { snippetsMode: true, fileArgs, label: "snippets" }, + ]; + let allIssues: Awaited> = []; + for (const phase of scanPhases) { + const phaseFiles = filterFileArgsForPhase(fileArgs, phase.snippetsMode); + const issues = await scanTruncationIssues({ + langs: selectedLangs, + snippetsMode: phase.snippetsMode, + fileArgs: phaseFiles.length > 0 ? phaseFiles : fileArgs, + }); + allIssues = [...allIssues, ...issues]; + } + await writeTruncationReport(allIssues, { + replaceLangs: + selectedLangs.length < config.languages.length + ? selectedLangs.map((l) => l.code) + : undefined, + }); + console.log(`Truncation scan: ${allIssues.length} issue(s) → ${TRANSLATE_LOG_REL}/truncation-issues.txt`); + if (allIssues.length > 0) { + console.log("Repair: npm run translate:repair-truncated -- --lang "); + } + return; + } + + if (!API_KEY) { + console.error( + "No API key. Set TRANSLATE_API_KEY or DEEPSEEK_API_KEY in .env.local" + ); + process.exit(1); + } + + if (repairTruncated) { + const repairFiles = await readTruncationRepairList( + selectedLangs.map((l) => l.code) + ); + if (repairFiles.length === 0) { + console.error( + `No truncation issues in ${TRANSLATE_LOG_REL}/truncation-issues.json for selected language(s).` + ); + console.error("Run: npm run translate:check-truncation -- --lang "); + process.exit(1); + } + fileArgs = repairFiles; + console.log(`Repair-truncated: ${repairFiles.length} file(s) from truncation log`); + } + + const phaseSummary = phases.map((p) => p.label).join(" → "); + console.log( + `Config: model=${MODEL} concurrency=${CONCURRENCY} mode=${IS_QWEN_MT ? "qwen-mt" : "llm"}` + + ` languages=${selectedLangs.map((l) => l.code).join(",")}` + + ` phases=${phaseSummary}` + + `${repairTruncated ? " [repair-truncated]" : ""}` + + ` skip=[${SKIP_PATHS.join(", ")}]` + ); + + let totalFailed = 0; + for (const phase of phases) { + const result = await runTranslatePhase({ + snippetsMode: phase.snippetsMode, + fileArgs: phase.fileArgs, + phaseLabel: phase.label, + selectedLangs, + dryRun, + force, + repairTruncated, + }); + totalFailed += result.failed; + } + + if (dryRun) { + if (runDocsJsonAfter) { + console.log(""); + await runDocsJsonSync(selectedLangs, true); + } + return; + } + + if (repairTruncated && totalFailed === 0) { + console.log("\nTruncation repair: all targeted files look OK."); + } + + if (runDocsJsonAfter) { + console.log(""); + await runDocsJsonSync(selectedLangs, false); + } } main().catch((err) => { diff --git a/.github/scripts/translation-config.json b/.github/scripts/i18n/translation-config.json similarity index 86% rename from .github/scripts/translation-config.json rename to .github/scripts/i18n/translation-config.json index 692f89bf0..80f0a66ad 100644 --- a/.github/scripts/translation-config.json +++ b/.github/scripts/i18n/translation-config.json @@ -18,9 +18,14 @@ "name": "Simplified Chinese", "dir": "zh", "snippets_dir": "snippets/zh" + }, + { + "code": "ko", + "name": "Korean", + "dir": "ko", + "snippets_dir": "snippets/ko" } ], - "exclude_dirs": ["ja", "zh", "zh-CN", "snippets/ja", "snippets/zh"], "preserve_terms": [ "ComfyUI", "LoRA", "VAE", "CLIP", "checkpoint", "ControlNet", "KSampler", "UNet", "API", "JSON", "MDX", "GitHub", "Hugging Face", diff --git a/.github/scripts/zh-ja-dict.ts b/.github/scripts/i18n/zh-ja-dict.ts similarity index 100% rename from .github/scripts/zh-ja-dict.ts rename to .github/scripts/i18n/zh-ja-dict.ts diff --git a/.github/workflows/i18n-sync-check.yml b/.github/workflows/i18n-sync-check.yml index 8b0de9d03..ab7f8dcb5 100644 --- a/.github/workflows/i18n-sync-check.yml +++ b/.github/workflows/i18n-sync-check.yml @@ -26,7 +26,7 @@ jobs: continue-on-error: true env: CHECK_I18N_OUTPUT: /tmp/i18n-check.json - run: node .github/scripts/check-i18n-sync.mjs \ + run: node .github/scripts/i18n/check-i18n-sync.mjs \ "${{ github.event.pull_request.base.sha }}" \ "${{ github.event.pull_request.head.sha }}" diff --git a/.gitignore b/.gitignore index a8443bfb7..3a139e550 100644 --- a/.gitignore +++ b/.gitignore @@ -12,4 +12,5 @@ docs.bak .env.*.local !.env.local.example # Translation run logs (translate-i18n.ts) +.github/i18n-logs/ tmp/ diff --git a/.mintignore b/.mintignore new file mode 100644 index 000000000..84ed96845 --- /dev/null +++ b/.mintignore @@ -0,0 +1,10 @@ +# Dependencies (pnpm nests packages under node_modules/.pnpm) +node_modules/ +**/node_modules/ + +# Local tooling / logs — not part of the docs site +.github/ +tmp/ + +# GitHub readme translations (not Mintlify pages; links are for github.com only) +readme/ diff --git a/README.md b/README.md index 07e542942..0c1c085bb 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # ComfyUI Documentation -| [English](https://github.com/Comfy-Org/docs/blob/main/README.md) | [中文](https://github.com/Comfy-Org/docs/blob/main/README.zh-CN.md) | [日本語](https://github.com/Comfy-Org/docs/blob/main/README.ja-JP.md) | +| [English](README.md) | [中文](readme/zh-CN.md) | [日本語](readme/ja-JP.md) | [한국어](readme/ko-KR.md) | ## Development @@ -44,7 +44,7 @@ A GitHub Action will check for redirects and fail the PR if they are missing. Re > } > ] > ``` -> Don't forget to include the corresponding Chinese translation file in the `zh` directory as well! +> Don't forget to include the corresponding translation files under `zh/`, `ja/`, `ko/`, etc.! You can also refer to the [Mintlify doc](https://www.mintlify.com/docs/create/redirects) to learn how to add and match a wildcard path. @@ -75,7 +75,17 @@ The documentation is built with Mintlify, please refer to [Mintlify documentatio ### i18n Contributions -English MDX at the repo root is the **source of truth**. Translations mirror the same relative paths under language directories (for example `zh/get_started/introduction.mdx`, `ja/get_started/introduction.mdx`). Reusable fragments live in `snippets/` with per-language copies under `snippets/zh/`, `snippets/ja/`, and so on. +English MDX at the repo root is the **source of truth**. Translations mirror the same relative paths under language directories (for example `zh/get_started/introduction.mdx`, `ja/get_started/introduction.mdx`, `ko/get_started/introduction.mdx`). Reusable fragments live in `snippets/` with per-language copies under `snippets/zh/`, `snippets/ja/`, `snippets/ko/`, and so on. + +Contributing guides in other languages: [readme/](readme/) (中文, 日本語, 한국어). + +**Translation policy** + +Supported locales are maintained through **automated translation** from English. When English docs change, translations are updated in batch via `npm run translate` — contributors do not need to hand-translate every page. + +**Request a new language** + +Want docs in another language? [Open an issue](https://github.com/Comfy-Org/docs/issues/new) with the locale you need (for example French, German, or Brazilian Portuguese). A maintainer will add the language to `translation-config.json` and `docs.json`, then run a **full batch translation** of all content. You only need to submit the request; no translated MDX PR is required to get started. Specifications for editing MDX can be found in the Writing Content section of the [Mintlify](https://mintlify.com/docs/page) document. @@ -104,6 +114,8 @@ cp .env.local.example .env.local | `npm run translate:force` | Re-translate everything, ignoring stored hashes | | `npm run translate:snippets` | Translate `snippets/` only | | `npm run translate:snippets:dry-run` | Preview pending snippet translations | +| `npm run translate:check-truncation` | Scan for likely truncated translations | +| `npm run translate:repair-truncated` | Re-translate files listed in the truncation log | Pass extra flags after `--`: @@ -111,50 +123,38 @@ Pass extra flags after `--`: npm run translate -- --lang zh,ja npm run translate:dry-run -- --lang ja npm run translate -- installation/manual_install.mdx +npm run translate:check-truncation -- --lang ko +npm run translate:repair-truncated -- --lang ko +``` + +**Truncated translations** + +Long files can occasionally be cut off mid-translation (e.g. unclosed code fences). After a batch run, the script scans newly translated files and writes a repair list to `.github/i18n-logs/translate/truncation-issues.json` and `truncation-issues.txt` (gitignored). To scan everything for a language, or to repair: + +```bash +npm run translate:check-truncation -- --lang ko +npm run translate:repair-truncated -- --lang ko ``` +`repair-truncated` reads the JSON log and force re-translates only the flagged files. + **How it works** - **Input**: English MDX (primary) + existing target-language file as context (if present) -- **Output**: Updated files under `zh/`, `ja/`, etc., with refreshed `translationSourceHash` in frontmatter (snippets use an HTML comment for the hash) -- **Review notes**: AI-reported translation issues are written to `tmp/translate/mismatches.md` (gitignored), not into MDX frontmatter +- **Output**: Updated files under `zh/`, `ja/`, `ko/`, etc., with refreshed `translationSourceHash` in frontmatter (snippets use an HTML comment for the hash) +- **Review notes (mismatch)**: When the model reports semantic issues via `=== MISMATCHES ===`, they go to `.github/i18n-logs/translate/mismatches.json` and `mismatches.txt` (gitignored), not into MDX. Only produced during `npm run translate`, not by the truncation scanner. +- **Truncation log**: Structural issues (unclosed code fences, short body) go to `.github/i18n-logs/translate/truncation-issues.json` — see [Truncated translations](#truncated-translations) above. - **Skipped paths**: `built-in-nodes/` (configured in `translation-config.json` → `skip_paths`) - **Chunked files**: `changelog/index.mdx` is handled by `` version labels. The script compares EN vs target labels, translates only **missing** versions, and inserts them in EN order. Old blocks are never re-translated unless you use `--force`. - **Directories**: Subdirectories are created automatically when files are written; you do not need to `mkdir` by hand -Script location: `.github/scripts/translate-i18n.ts` +Script location: `.github/scripts/i18n/` (see `translate-i18n.ts`, `translation-config.json`) #### Adding a new language -1. **Register the language** in `.github/scripts/translation-config.json`: - -```json -{ - "code": "fr", - "name": "French", - "dir": "fr", - "snippets_dir": "snippets/fr" -} -``` - -2. **Add navigation** in `docs.json` under `navigation.languages` (copy the English tree and prefix page paths with `fr/`). See [Mintlify Localization](https://mintlify.com/docs/navigation/localization). - -```json -{ - "language": "fr", - "tabs": [ - { - "tab": "Commencer", - "pages": [ - "fr/index", - "fr/get_started/introduction" - ] - } - ] -} -``` +See [Request a new language](#request-a-new-language) above — please open an issue rather than adding a language in a PR yourself. -3. **Run translation**: +Maintainers: add one entry under `languages` in `.github/scripts/i18n/translation-config.json` (`code`, `name`, `dir`, `snippets_dir`). Path exclusion, link localization, and English-file scanning are derived automatically by `i18n-config.mjs` in the same folder — no per-language edits in translate scripts when adding a locale. Then add navigation in `docs.json` (see [Mintlify Localization](https://mintlify.com/docs/navigation/localization)), and batch-translate: ```bash npm run translate:dry-run -- --lang fr @@ -162,8 +162,6 @@ npm run translate -- --lang fr npm run translate:snippets -- --lang fr ``` -Mintlify supports many locale codes (for example `zh`, `ja`, `fr`, `de`). The `language` value in `docs.json` must match [Mintlify's localization settings](https://mintlify.com/docs/navigation/localization); the folder name (`fr/`, `zh/`, `ja/`) should stay consistent with your `translation-config.json` `dir` field. - #### Manual translation You can still translate by hand instead of using the script: diff --git a/built-in-nodes/APG.mdx b/built-in-nodes/APG.mdx index 63175b1f6..a11b660cc 100644 --- a/built-in-nodes/APG.mdx +++ b/built-in-nodes/APG.mdx @@ -5,24 +5,24 @@ sidebarTitle: "APG" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/APG/en.md) - The APG (Adaptive Projected Guidance) node modifies the sampling process by adjusting how guidance is applied during diffusion. It separates the guidance vector into parallel and orthogonal components relative to the conditional output, allowing for more controlled image generation. The node provides parameters to scale the guidance, normalize its magnitude, and apply momentum for smoother transitions between diffusion steps. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model to apply adaptive projected guidance to | -| `eta` | FLOAT | Yes | -10.0 to 10.0 | Controls the scale of the parallel guidance vector. Default CFG behavior at a setting of 1 (default: 1.0). | -| `norm_threshold` | FLOAT | Yes | 0.0 to 50.0 | Normalize guidance vector to this value, normalization disabled at a setting of 0 (default: 5.0). | -| `momentum` | FLOAT | Yes | -5.0 to 1.0 | Controls a running average of guidance during diffusion, disabled at a setting of 0 (default: 0.0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to apply adaptive projected guidance to | MODEL | Yes | - | +| `eta` | Controls the scale of the parallel guidance vector. Default CFG behavior at a setting of 1 (default: 1.0). | FLOAT | Yes | -10.0 to 10.0 | +| `norm_threshold` | Normalize guidance vector to this value, normalization disabled at a setting of 0 (default: 5.0). | FLOAT | Yes | 0.0 to 50.0 | +| `momentum` | Controls a running average of guidance during diffusion, disabled at a setting of 0 (default: 0.0). | FLOAT | Yes | -5.0 to 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | Returns the modified model with adaptive projected guidance applied to its sampling process | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | Returns the modified model with adaptive projected guidance applied to its sampling process | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/APG/en.md) --- **Source fingerprint (SHA-256):** `89e2486bf08f750f82608db93c389f0b25ce0be766f62faa8704d19bd7e41654` diff --git a/built-in-nodes/ARVideoI2V.mdx b/built-in-nodes/ARVideoI2V.mdx index 06092a49d..524cf66cf 100644 --- a/built-in-nodes/ARVideoI2V.mdx +++ b/built-in-nodes/ARVideoI2V.mdx @@ -5,30 +5,30 @@ sidebarTitle: "ARVideoI2V" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ARVideoI2V/en.md) - ## Overview This node prepares an image-to-video generation setup for AR (Auto-Regressive) video models. It takes a starting image, encodes it into the latent space using a VAE, and stores the encoded image in the model's configuration. This allows the video sampling process to use the image as the first frame, effectively seeding the generation without needing a separate image-to-video model architecture. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The AR video model to be used for generation. | -| `vae` | VAE | Yes | - | The VAE model used to encode the starting image into latent space. | -| `start_image` | IMAGE | Yes | - | The initial image that will serve as the first frame of the generated video. | -| `width` | INT | Yes | 16 to 8192 (step: 16) | The width of the generated video frames (default: 832). | -| `height` | INT | Yes | 16 to 8192 (step: 16) | The height of the generated video frames (default: 480). | -| `length` | INT | Yes | 1 to 1024 (step: 4) | The total number of frames in the generated video (default: 81). | -| `batch_size` | INT | Yes | 1 to 64 | The number of video sequences to generate in a single batch (default: 1). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AR video model to be used for generation. | MODEL | Yes | - | +| `vae` | The VAE model used to encode the starting image into latent space. | VAE | Yes | - | +| `start_image` | The initial image that will serve as the first frame of the generated video. | IMAGE | Yes | - | +| `width` | The width of the generated video frames (default: 832). | INT | Yes | 16 to 8192 (step: 16) | +| `height` | The height of the generated video frames (default: 480). | INT | Yes | 16 to 8192 (step: 16) | +| `length` | The total number of frames in the generated video (default: 81). | INT | Yes | 1 to 1024 (step: 4) | +| `batch_size` | The number of video sequences to generate in a single batch (default: 1). | INT | Yes | 1 to 64 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MODEL` | MODEL | The cloned model with the encoded start image stored in its configuration for video generation. | -| `LATENT` | LATENT | An empty latent tensor with the correct dimensions for the video generation process. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MODEL` | The cloned model with the encoded start image stored in its configuration for video generation. | MODEL | +| `LATENT` | An empty latent tensor with the correct dimensions for the video generation process. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ARVideoI2V/en.md) --- **Source fingerprint (SHA-256):** `0445b279ba49fa946050cfa70d1e6b13240eaa600b99dfe63f27c3203dc4b61b` diff --git a/built-in-nodes/AddNoise.mdx b/built-in-nodes/AddNoise.mdx index 596931906..b1fbc3b8a 100644 --- a/built-in-nodes/AddNoise.mdx +++ b/built-in-nodes/AddNoise.mdx @@ -5,24 +5,24 @@ sidebarTitle: "AddNoise" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddNoise/en.md) - This node adds controlled noise to a latent image using a specified noise generator and sigma values. It processes the input through the model's sampling system to apply noise scaling appropriate for the given sigma range, returning a new latent representation with the noise applied. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model containing sampling parameters and processing functions | -| `noise` | NOISE | Yes | - | The noise generator that produces the base noise pattern | -| `sigmas` | SIGMAS | Yes | - | Sigma values controlling the noise scaling intensity. If empty, the node returns the original latent image unchanged. When multiple sigmas are provided, the noise scale is calculated as the absolute difference between the first and last sigma values. When only one sigma is provided, that value is used directly as the scale. | -| `latent_image` | LATENT | Yes | - | The input latent representation to which noise will be added. Empty latent images (containing only zeros) are not shifted during processing. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model containing sampling parameters and processing functions | MODEL | Yes | - | +| `noise` | The noise generator that produces the base noise pattern | NOISE | Yes | - | +| `sigmas` | Sigma values controlling the noise scaling intensity. If empty, the node returns the original latent image unchanged. When multiple sigmas are provided, the noise scale is calculated as the absolute difference between the first and last sigma values. When only one sigma is provided, that value is used directly as the scale. | SIGMAS | Yes | - | +| `latent_image` | The input latent representation to which noise will be added. Empty latent images (containing only zeros) are not shifted during processing. | LATENT | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `LATENT` | LATENT | The modified latent representation with added noise. Any NaN or infinite values in the output are converted to zeros for stability. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `LATENT` | The modified latent representation with added noise. Any NaN or infinite values in the output are converted to zeros for stability. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddNoise/en.md) --- **Source fingerprint (SHA-256):** `7e2b3e7f55c7c4380e831be5a558c506a6328ad2ec974f550ed30b40ddfab037` diff --git a/built-in-nodes/AddTextPrefix.mdx b/built-in-nodes/AddTextPrefix.mdx index 7b4dc2f59..d868c2307 100644 --- a/built-in-nodes/AddTextPrefix.mdx +++ b/built-in-nodes/AddTextPrefix.mdx @@ -5,24 +5,24 @@ sidebarTitle: "AddTextPrefix" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextPrefix/en.md) - The Add Text Prefix node modifies text by adding a specified string to the beginning of each input text. It takes the text and a prefix as input, then returns the combined result. **Note:** This node is deprecated and superseded by the Concatenate Text node. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | Yes | | The text to which the prefix will be added. | -| `prefix` | STRING | No | | The string to add to the beginning of the text (default: ""). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `text` | The text to which the prefix will be added. | STRING | Yes | | +| `prefix` | The string to add to the beginning of the text (default: ""). | STRING | No | | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `text` | STRING | The resulting text with the prefix added to the front. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `text` | The resulting text with the prefix added to the front. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextPrefix/en.md) --- **Source fingerprint (SHA-256):** `71744a8dc3056b8f20eb2cb7ac16002ce86e214a660aa1d145f501d6d7dc5b53` diff --git a/built-in-nodes/AddTextSuffix.mdx b/built-in-nodes/AddTextSuffix.mdx index 146f35f54..b209b107e 100644 --- a/built-in-nodes/AddTextSuffix.mdx +++ b/built-in-nodes/AddTextSuffix.mdx @@ -5,22 +5,22 @@ sidebarTitle: "AddTextSuffix" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextSuffix/en.md) - This node appends a specified suffix to the end of an input text string. It takes the original text and the suffix as inputs, then returns the combined result. **This node is deprecated** and superseded by the Concatenate Text node. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | Yes | | The original text to which the suffix will be added. | -| `suffix` | STRING | No | | The suffix to add to the text (default: ""). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `text` | The original text to which the suffix will be added. | STRING | Yes | | +| `suffix` | The suffix to add to the text (default: ""). | STRING | No | | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `text` | STRING | The resulting text after the suffix has been appended. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `text` | The resulting text after the suffix has been appended. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextSuffix/en.md) --- **Source fingerprint (SHA-256):** `9b73a9352d21feb5041de550cc4463222c9ccbc1ef4937415d4dc8c5648d3a90` diff --git a/built-in-nodes/AdjustBrightness.mdx b/built-in-nodes/AdjustBrightness.mdx index 09f0e7581..78e0132be 100644 --- a/built-in-nodes/AdjustBrightness.mdx +++ b/built-in-nodes/AdjustBrightness.mdx @@ -5,22 +5,22 @@ sidebarTitle: "AdjustBrightness" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustBrightness/en.md) - The Adjust Brightness node modifies the brightness of an input image. It works by multiplying each pixel's value by a specified factor, then clamping the resulting values to stay within a valid range. A factor of 1.0 leaves the image unchanged, values below 1.0 make it darker, and values above 1.0 make it brighter. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to adjust. | -| `factor` | FLOAT | No | 0.0 - 2.0 | Brightness factor. 1.0 = no change, <1.0 = darker, >1.0 = brighter. (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to adjust. | IMAGE | Yes | - | +| `factor` | Brightness factor. 1.0 = no change, <1.0 = darker, >1.0 = brighter. (default: 1.0) | FLOAT | No | 0.0 - 2.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The output image with adjusted brightness. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The output image with adjusted brightness. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustBrightness/en.md) --- **Source fingerprint (SHA-256):** `dd1a35a4a133e6e15bb51788376e89c4e20e52ad395f889f4a4aa34fa614612e` diff --git a/built-in-nodes/AdjustContrast.mdx b/built-in-nodes/AdjustContrast.mdx index fbe1b7d8b..91f556e12 100644 --- a/built-in-nodes/AdjustContrast.mdx +++ b/built-in-nodes/AdjustContrast.mdx @@ -5,22 +5,22 @@ sidebarTitle: "AdjustContrast" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustContrast/en.md) - The Adjust Contrast node modifies the contrast level of an input image. It works by adjusting the difference between the light and dark areas of the image. A factor of 1.0 leaves the image unchanged, values below 1.0 reduce contrast, and values above 1.0 increase it. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to have its contrast adjusted. | -| `factor` | FLOAT | No | 0.0 - 2.0 | Contrast factor. 1.0 = no change, <1.0 = less contrast, >1.0 = more contrast. (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to have its contrast adjusted. | IMAGE | Yes | - | +| `factor` | Contrast factor. 1.0 = no change, <1.0 = less contrast, >1.0 = more contrast. (default: 1.0) | FLOAT | No | 0.0 - 2.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The resulting image with adjusted contrast. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The resulting image with adjusted contrast. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustContrast/en.md) --- **Source fingerprint (SHA-256):** `3debe91086d9818883dbe29b0cb2ae3ecaed44e4636b124d42a85d9906252330` diff --git a/built-in-nodes/AlignYourStepsScheduler.mdx b/built-in-nodes/AlignYourStepsScheduler.mdx index 76169f4f3..27467c41d 100644 --- a/built-in-nodes/AlignYourStepsScheduler.mdx +++ b/built-in-nodes/AlignYourStepsScheduler.mdx @@ -5,23 +5,23 @@ sidebarTitle: "AlignYourStepsScheduler" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AlignYourStepsScheduler/en.md) - The AlignYourStepsScheduler node generates sigma values for the denoising process based on different model types. It calculates appropriate noise levels for each step of the sampling process and adjusts the total number of steps according to the denoise parameter. This helps align the sampling steps with the specific requirements of different diffusion models. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_type` | STRING | Yes | `"SD1"`
`"SDXL"`
`"SVD"` | Specifies the type of model to use for sigma calculation (default: "SD1") | -| `steps` | INT | Yes | 1 to 10000 | The total number of sampling steps to generate (default: 10) | -| `denoise` | FLOAT | Yes | 0.0 to 1.0 | Controls how much to denoise the image, where 1.0 uses all steps and lower values use fewer steps (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_type` | Specifies the type of model to use for sigma calculation (default: "SD1") | STRING | Yes | `"SD1"`
`"SDXL"`
`"SVD"` | +| `steps` | The total number of sampling steps to generate (default: 10) | INT | Yes | 1 to 10000 | +| `denoise` | Controls how much to denoise the image, where 1.0 uses all steps and lower values use fewer steps (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | Returns the calculated sigma values for the denoising process | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sigmas` | Returns the calculated sigma values for the denoising process | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AlignYourStepsScheduler/en.md) --- **Source fingerprint (SHA-256):** `ea8694299147f6f28a1191f0f3c416c64cff9ca3a73bc54fa9319ab7eaab4ce9` diff --git a/built-in-nodes/AudioAdjustVolume.mdx b/built-in-nodes/AudioAdjustVolume.mdx index 0f1d4a325..848556a31 100644 --- a/built-in-nodes/AudioAdjustVolume.mdx +++ b/built-in-nodes/AudioAdjustVolume.mdx @@ -5,22 +5,22 @@ sidebarTitle: "AudioAdjustVolume" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioAdjustVolume/en.md) - The AudioAdjustVolume node modifies the loudness of audio by applying volume adjustments in decibels (dB). It takes an audio input and applies a gain factor based on the specified volume level, where positive values increase volume and negative values decrease it. The node returns the modified audio with the same sample rate as the original. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | - | The audio input to be processed | -| `volume` | INT | Yes | -100 to 100 | Volume adjustment in decibels (dB). 0 = no change, +6 = double, -6 = half, etc (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | The audio input to be processed | AUDIO | Yes | - | +| `volume` | Volume adjustment in decibels (dB). 0 = no change, +6 = double, -6 = half, etc (default: 1) | INT | Yes | -100 to 100 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The processed audio with adjusted volume level | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The processed audio with adjusted volume level | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioAdjustVolume/en.md) --- **Source fingerprint (SHA-256):** `8c19625104901a0c57021b1a775fdf287c8bd0fb1fd535809e1983b1949ca752` diff --git a/built-in-nodes/AudioConcat.mdx b/built-in-nodes/AudioConcat.mdx index 911f6e773..5c54b50fc 100644 --- a/built-in-nodes/AudioConcat.mdx +++ b/built-in-nodes/AudioConcat.mdx @@ -5,23 +5,23 @@ sidebarTitle: "AudioConcat" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioConcat/en.md) - The AudioConcat node combines two audio inputs by joining them together. It takes two audio inputs and connects them in the order you specify, either placing the second audio before or after the first audio. The node automatically handles different audio formats by converting mono audio to stereo and matching sample rates between the two inputs. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio1` | AUDIO | Yes | - | The first audio input to be concatenated | -| `audio2` | AUDIO | Yes | - | The second audio input to be concatenated | -| `direction` | COMBO | Yes | `"after"`
`"before"` | Whether to append audio2 after or before audio1 (default: "after") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio1` | The first audio input to be concatenated | AUDIO | Yes | - | +| `audio2` | The second audio input to be concatenated | AUDIO | Yes | - | +| `direction` | Whether to append audio2 after or before audio1 (default: "after") | COMBO | Yes | `"after"`
`"before"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `AUDIO` | AUDIO | The combined audio containing both input audio files joined together | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `AUDIO` | The combined audio containing both input audio files joined together | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioConcat/en.md) --- **Source fingerprint (SHA-256):** `faccc3d42e9c6927deadb7d5f7fe9e5bbbf08e4e9a3d636f42a2b9f995eec8c1` diff --git a/built-in-nodes/AudioEncoderEncode.mdx b/built-in-nodes/AudioEncoderEncode.mdx index 9d10ae76a..947b41fd7 100644 --- a/built-in-nodes/AudioEncoderEncode.mdx +++ b/built-in-nodes/AudioEncoderEncode.mdx @@ -5,22 +5,22 @@ sidebarTitle: "AudioEncoderEncode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderEncode/en.md) - The AudioEncoderEncode node processes audio data by encoding it using an audio encoder model. It takes audio input and converts it into an encoded representation that can be used for further processing in the conditioning pipeline. This node transforms raw audio waveforms into a format suitable for audio-based machine learning applications. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio_encoder` | AUDIO_ENCODER | Yes | - | The audio encoder model used to process the audio input | -| `audio` | AUDIO | Yes | - | The audio data containing waveform and sample rate information | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio_encoder` | The audio encoder model used to process the audio input | AUDIO_ENCODER | Yes | - | +| `audio` | The audio data containing waveform and sample rate information | AUDIO | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | AUDIO_ENCODER_OUTPUT | The encoded audio representation generated by the audio encoder | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The encoded audio representation generated by the audio encoder | AUDIO_ENCODER_OUTPUT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderEncode/en.md) --- **Source fingerprint (SHA-256):** `abd34445d7b959a6421fe0fe6bed0498b3754ee313019e3315cbed399f68bbe6` diff --git a/built-in-nodes/AudioEncoderLoader.mdx b/built-in-nodes/AudioEncoderLoader.mdx index b92bdde26..166103683 100644 --- a/built-in-nodes/AudioEncoderLoader.mdx +++ b/built-in-nodes/AudioEncoderLoader.mdx @@ -5,21 +5,21 @@ sidebarTitle: "AudioEncoderLoader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderLoader/en.md) - The AudioEncoderLoader node loads an audio encoder model from a file in your audio encoders folder. It takes the filename of an audio encoder model as input and returns the loaded model, which can then be used for audio processing tasks in your workflow. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio_encoder_name` | STRING | Yes | List of available audio encoder files in the audio_encoders folder | Selects which audio encoder model file to load | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio_encoder_name` | Selects which audio encoder model file to load | STRING | Yes | List of available audio encoder files in the audio_encoders folder | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio_encoder` | AUDIO_ENCODER | The loaded audio encoder model, ready for use in audio processing workflows | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio_encoder` | The loaded audio encoder model, ready for use in audio processing workflows | AUDIO_ENCODER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderLoader/en.md) --- **Source fingerprint (SHA-256):** `66982618292df3881546883ff9efddbb8f8a2eae9aab45507ce0f96719fe6ee0` diff --git a/built-in-nodes/AudioEqualizer3Band.mdx b/built-in-nodes/AudioEqualizer3Band.mdx index 15f5b74ab..3b8f3d1ff 100644 --- a/built-in-nodes/AudioEqualizer3Band.mdx +++ b/built-in-nodes/AudioEqualizer3Band.mdx @@ -5,30 +5,30 @@ sidebarTitle: "AudioEqualizer3Band" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEqualizer3Band/en.md) - The Audio Equalizer (3-Band) node allows you to adjust the bass, mid, and treble frequencies of an audio waveform. It applies three separate filters: a low shelf for bass, a peaking filter for mids, and a high shelf for treble. Each band can be independently controlled with gain, frequency, and bandwidth settings. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | - | The input audio data containing the waveform and sample rate. | -| `low_gain_dB` | FLOAT | No | -24.0 to 24.0 | Gain for Low frequencies (Bass). Positive values boost, negative values cut. (default: 0.0) | -| `low_freq` | INT | No | 20 to 500 | Cutoff frequency for Low shelf filter in Hertz (Hz). (default: 100) | -| `mid_gain_dB` | FLOAT | No | -24.0 to 24.0 | Gain for Mid frequencies. Positive values boost, negative values cut. (default: 0.0) | -| `mid_freq` | INT | No | 200 to 4000 | Center frequency for the Mid peaking filter in Hertz (Hz). (default: 1000) | -| `mid_q` | FLOAT | No | 0.1 to 10.0 | Q factor (bandwidth) for the Mid peaking filter. Lower values create a wider band, higher values create a narrower band. (default: 0.707) | -| `high_gain_dB` | FLOAT | No | -24.0 to 24.0 | Gain for High frequencies (Treble). Positive values boost, negative values cut. (default: 0.0) | -| `high_freq` | INT | No | 1000 to 15000 | Cutoff frequency for High shelf filter in Hertz (Hz). (default: 5000) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | The input audio data containing the waveform and sample rate. | AUDIO | Yes | - | +| `low_gain_dB` | Gain for Low frequencies (Bass). Positive values boost, negative values cut. (default: 0.0) | FLOAT | No | -24.0 to 24.0 | +| `low_freq` | Cutoff frequency for Low shelf filter in Hertz (Hz). (default: 100) | INT | No | 20 to 500 | +| `mid_gain_dB` | Gain for Mid frequencies. Positive values boost, negative values cut. (default: 0.0) | FLOAT | No | -24.0 to 24.0 | +| `mid_freq` | Center frequency for the Mid peaking filter in Hertz (Hz). (default: 1000) | INT | No | 200 to 4000 | +| `mid_q` | Q factor (bandwidth) for the Mid peaking filter. Lower values create a wider band, higher values create a narrower band. (default: 0.707) | FLOAT | No | 0.1 to 10.0 | +| `high_gain_dB` | Gain for High frequencies (Treble). Positive values boost, negative values cut. (default: 0.0) | FLOAT | No | -24.0 to 24.0 | +| `high_freq` | Cutoff frequency for High shelf filter in Hertz (Hz). (default: 5000) | INT | No | 1000 to 15000 | **Note:** The `low_gain_dB`, `mid_gain_dB`, and `high_gain_dB` parameters are only applied when their value is not zero. If a gain is set to 0.0, the corresponding filter stage is skipped. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The processed audio data with the equalization applied, containing the modified waveform and the original sample rate. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The processed audio data with the equalization applied, containing the modified waveform and the original sample rate. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEqualizer3Band/en.md) --- **Source fingerprint (SHA-256):** `be3a0981d8285885cb465e82717c3f56c9d301d55708962f9a9dd5b2c400ec81` diff --git a/built-in-nodes/AudioMerge.mdx b/built-in-nodes/AudioMerge.mdx index b543f2825..b511fcadb 100644 --- a/built-in-nodes/AudioMerge.mdx +++ b/built-in-nodes/AudioMerge.mdx @@ -5,23 +5,23 @@ sidebarTitle: "AudioMerge" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioMerge/en.md) - The AudioMerge node combines two audio tracks by overlaying their waveforms. It automatically matches the sample rates of both audio inputs and adjusts their lengths to be equal before merging. The node provides several mathematical methods for combining the audio signals and ensures the output remains within acceptable volume levels. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio1` | AUDIO | Yes | - | First audio input to merge | -| `audio2` | AUDIO | Yes | - | Second audio input to merge | -| `merge_method` | COMBO | Yes | `"add"`
`"mean"`
`"subtract"`
`"multiply"` | The method used to combine the audio waveforms. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio1` | First audio input to merge | AUDIO | Yes | - | +| `audio2` | Second audio input to merge | AUDIO | Yes | - | +| `merge_method` | The method used to combine the audio waveforms. | COMBO | Yes | `"add"`
`"mean"`
`"subtract"`
`"multiply"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `AUDIO` | AUDIO | The merged audio output containing the combined waveform and sample rate | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `AUDIO` | The merged audio output containing the combined waveform and sample rate | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioMerge/en.md) --- **Source fingerprint (SHA-256):** `3bb8c223e9a5155b5e60f901e8653c6654336a10a56d25ba7a3c5e8f5382ad27` diff --git a/built-in-nodes/AutogrowNamesTestNode.mdx b/built-in-nodes/AutogrowNamesTestNode.mdx index b2f992b4f..bb4abc73a 100644 --- a/built-in-nodes/AutogrowNamesTestNode.mdx +++ b/built-in-nodes/AutogrowNamesTestNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "AutogrowNamesTestNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowNamesTestNode/en.md) - This node is a test for the Autogrow input feature. It takes a dynamic number of float inputs, each labeled with a specific name, and combines their values into a single comma-separated string. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `autogrow` | FLOAT | Yes | N/A | A dynamic input group. You can add multiple float inputs, each with a pre-defined name from the list: "a", "b", or "c". The node will accept any combination of these named inputs. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `autogrow` | A dynamic input group. You can add multiple float inputs, each with a pre-defined name from the list: "a", "b", or "c". The node will accept any combination of these named inputs. | FLOAT | Yes | N/A | **Note:** The `autogrow` input is dynamic. You can add or remove individual float inputs (named "a", "b", or "c") as needed for your workflow. The node processes all provided values. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | A single string containing the values from all provided float inputs, joined together with commas. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | A single string containing the values from all provided float inputs, joined together with commas. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowNamesTestNode/en.md) --- **Source fingerprint (SHA-256):** `7c9a6bdcbf7c65112d0810e5709a9d6d59f33c1980cd66fc475826565e35a1a9` diff --git a/built-in-nodes/AutogrowPrefixTestNode.mdx b/built-in-nodes/AutogrowPrefixTestNode.mdx index 03e956d88..2b626ab24 100644 --- a/built-in-nodes/AutogrowPrefixTestNode.mdx +++ b/built-in-nodes/AutogrowPrefixTestNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "AutogrowPrefixTestNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/en.md) - The AutogrowPrefixTestNode is a logic node designed to test the autogrow input feature. It accepts a dynamic number of float inputs, combines their values into a comma-separated string, and outputs that string. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `autogrow` | AUTOGROW | Yes | 1 to 10 inputs | A dynamic input group that can accept between 1 and 10 float values. Each input in the group is a FLOAT type with a minimum value of 1 and a maximum value of 10. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `autogrow` | A dynamic input group that can accept between 1 and 10 float values. Each input in the group is a FLOAT type with a minimum value of 1 and a maximum value of 10. | AUTOGROW | Yes | 1 to 10 inputs | **Note:** The `autogrow` input is a special dynamic input. You can add multiple float inputs to this group, up to a maximum of 10. The node will process all provided values. Each individual float input is constrained to a range of 1 to 10. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | A single string containing all the input float values, separated by commas. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | A single string containing all the input float values, separated by commas. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/en.md) --- **Source fingerprint (SHA-256):** `93e3e3d13f8f411206d09e34e7e3b734596af0a2ef066712d6dfbe9dc3eec0cf` diff --git a/built-in-nodes/BasicGuider.mdx b/built-in-nodes/BasicGuider.mdx index 55c0c7906..3d707cb5f 100644 --- a/built-in-nodes/BasicGuider.mdx +++ b/built-in-nodes/BasicGuider.mdx @@ -5,22 +5,22 @@ sidebarTitle: "BasicGuider" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicGuider/en.md) - The BasicGuider node creates a simple guidance mechanism for the sampling process. It takes a model and conditioning data as inputs and produces a guider object that can be used to guide the generation process during sampling. This node provides the fundamental guidance functionality needed for controlled generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to be used for guidance | -| `conditioning` | CONDITIONING | Yes | - | The conditioning data that guides the generation process | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to be used for guidance | MODEL | Yes | - | +| `conditioning` | The conditioning data that guides the generation process | CONDITIONING | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `GUIDER` | GUIDER | A guider object that can be used during the sampling process to guide generation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `GUIDER` | A guider object that can be used during the sampling process to guide generation | GUIDER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicGuider/en.md) --- **Source fingerprint (SHA-256):** `87b4662787829c4f00a5cc362f12b1c046fe836f9eb7d90aa40bd48f5cecdf0a` diff --git a/built-in-nodes/BasicScheduler.mdx b/built-in-nodes/BasicScheduler.mdx index 1f837863a..14f151e3c 100755 --- a/built-in-nodes/BasicScheduler.mdx +++ b/built-in-nodes/BasicScheduler.mdx @@ -9,12 +9,12 @@ The `BasicScheduler` node is designed to compute a sequence of sigma values for ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Metaphor Description | Technical Purpose | -| ----------- | ------------- | ---------- | ------- | --------- | ------------------------------ | ---------------------------- | -| `model` | MODEL | Input | - | - | **Canvas Type**: Different canvas materials need different paint formulas | Diffusion model object, determines sigma calculation basis | -| `scheduler` | COMBO[STRING] | Widget | - | 9 options | **Mixing Technique**: Choose how paint concentration changes | Scheduling algorithm, controls noise decay mode | -| `steps` | INT | Widget | 20 | 1-10000 | **Mixing Count**: 20 mixes vs 50 mixes precision difference | Sampling steps, affects generation quality and speed | -| `denoise` | FLOAT | Widget | 1.0 | 0.0-1.0 | **Creation Intensity**: Control level from fine-tuning to repainting | Denoising strength, supports partial repainting scenarios | +| Parameter | Metaphor Description | Data Type | Input Type | Default | Range | Technical Purpose | +| --- | --- | --- | --- | --- | --- | --- | +| `model` | **Canvas Type**: Different canvas materials need different paint formulas | MODEL | Input | - | - | Diffusion model object, determines sigma calculation basis | +| `scheduler` | **Mixing Technique**: Choose how paint concentration changes | COMBO[STRING] | Widget | - | 9 options | Scheduling algorithm, controls noise decay mode | +| `steps` | **Mixing Count**: 20 mixes vs 50 mixes precision difference | INT | Widget | 20 | 1-10000 | Sampling steps, affects generation quality and speed | +| `denoise` | **Creation Intensity**: Control level from fine-tuning to repainting | FLOAT | Widget | 1.0 | 0.0-1.0 | Denoising strength, supports partial repainting scenarios | ### Scheduler Types @@ -34,9 +34,9 @@ Based on source code `comfy.samplers.SCHEDULER_NAMES`, supports the following 9 ## Outputs -| Parameter | Data Type | Output Type | Metaphor Description | Technical Meaning | -| --------- | --------- | ----------- | ---------------------- | -------------------------------- | -| `sigmas` | SIGMAS | Output | **Paint Recipe Chart**: Detailed paint concentration list for step-by-step use | Noise level sequence, guides diffusion model denoising process | +| Parameter | Metaphor Description | Data Type | Output Type | Technical Meaning | +| --- | --- | --- | --- | --- | +| `sigmas` | **Paint Recipe Chart**: Detailed paint concentration list for step-by-step use | SIGMAS | Output | Noise level sequence, guides diffusion model denoising process | ## Node Role: Artist's Color Mixing Assistant @@ -72,3 +72,5 @@ Imagine you are an artist creating a clear image from a chaotic mixture of paint ### Collaboration with Other Nodes `BasicScheduler` (Color Assistant) → Prepare Recipe → `SamplerCustom` (Artist) → Actual Painting → Completed Work + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicScheduler/en.md) diff --git a/built-in-nodes/BatchImagesMasksLatentsNode.mdx b/built-in-nodes/BatchImagesMasksLatentsNode.mdx index 6bf743a2f..95193522b 100644 --- a/built-in-nodes/BatchImagesMasksLatentsNode.mdx +++ b/built-in-nodes/BatchImagesMasksLatentsNode.mdx @@ -5,15 +5,13 @@ sidebarTitle: "BatchImagesMasksLatentsNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesMasksLatentsNode/en.md) - The Batch Images/Masks/Latents node combines multiple inputs of the same type into a single batch. It automatically detects whether the inputs are images, masks, or latent representations and uses the appropriate batching method. This is useful for preparing multiple items for processing by nodes that accept batched inputs. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `inputs` | IMAGE, MASK, or LATENT | Yes | 1 to 50 inputs | A dynamic list of inputs to be combined into a batch. You can add between 1 and 50 items. All items must be of the same type (all images, all masks, or all latents). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `inputs` | A dynamic list of inputs to be combined into a batch. You can add between 1 and 50 items. All items must be of the same type (all images, all masks, or all latents). | IMAGE, MASK, or LATENT | Yes | 1 to 50 inputs | **Note:** The node automatically determines the data type (IMAGE, MASK, or LATENT) based on the first item in the `inputs` list. All subsequent items must match this type. The node will fail if you try to mix different data types. @@ -24,9 +22,11 @@ The Batch Images/Masks/Latents node combines multiple inputs of the same type in ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE, MASK, or LATENT | A single batched output. The data type matches the input type (batched IMAGE, batched MASK, or batched LATENT). | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | A single batched output. The data type matches the input type (batched IMAGE, batched MASK, or batched LATENT). | IMAGE, MASK, or LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesMasksLatentsNode/en.md) --- **Source fingerprint (SHA-256):** `9f82b036c99577ebcda6de647c662def572ae1f01bd78dca1a0ab32f4698e09e` diff --git a/built-in-nodes/BatchImagesNode.mdx b/built-in-nodes/BatchImagesNode.mdx index e70aabcd5..fd5cb84e3 100644 --- a/built-in-nodes/BatchImagesNode.mdx +++ b/built-in-nodes/BatchImagesNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "BatchImagesNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesNode/en.md) - The Batch Images node combines multiple individual images into a single batch. It takes a variable number of image inputs and outputs them as one batched image tensor, allowing them to be processed together in subsequent nodes. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | 2 to 50 inputs | A dynamic list of image inputs. You can add between 2 and 50 images to be combined into a batch. The node interface allows you to add more image input slots as needed. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | A dynamic list of image inputs. You can add between 2 and 50 images to be combined into a batch. The node interface allows you to add more image input slots as needed. | IMAGE | Yes | 2 to 50 inputs | **Note:** You must connect at least two images for the node to function. The first input slot is always required, and you can add more using the "+" button that appears in the node interface. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | A single batched image tensor containing all the input images stacked together. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | A single batched image tensor containing all the input images stacked together. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesNode/en.md) --- **Source fingerprint (SHA-256):** `f756fb15760cd2518da9c3f88281d3ab3361b4c2b4820fe2be152e4db1cf102c` diff --git a/built-in-nodes/BatchLatentsNode.mdx b/built-in-nodes/BatchLatentsNode.mdx index ebfd42d48..88562d323 100644 --- a/built-in-nodes/BatchLatentsNode.mdx +++ b/built-in-nodes/BatchLatentsNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "BatchLatentsNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchLatentsNode/en.md) - The Batch Latents node combines multiple latent inputs into a single batch. It takes a variable number of latent samples and merges them along the batch dimension, allowing them to be processed together in subsequent nodes. This is useful for generating or processing multiple images in a single operation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `latents` | LATENT | Yes | 1 to 50 inputs | A set of latent samples to be combined into a single batch. You must provide at least one latent, and you can add up to 50. The node automatically creates input slots as you connect more latents. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `latents` | A set of latent samples to be combined into a single batch. You must provide at least one latent, and you can add up to 50. The node automatically creates input slots as you connect more latents. | LATENT | Yes | 1 to 50 inputs | **Note:** You must provide at least one latent input for the node to function. The node will automatically create input slots as you connect more latents, up to a maximum of 50. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | LATENT | A single latent output containing all the input latents combined into one batch. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | A single latent output containing all the input latents combined into one batch. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchLatentsNode/en.md) --- **Source fingerprint (SHA-256):** `66b2a315c1ce3842e0ee014edd576e87e959591e6d54576c93cba2116b599736` diff --git a/built-in-nodes/BatchMasksNode.mdx b/built-in-nodes/BatchMasksNode.mdx index 6a676746a..0318bc2b9 100644 --- a/built-in-nodes/BatchMasksNode.mdx +++ b/built-in-nodes/BatchMasksNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "BatchMasksNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchMasksNode/en.md) - The Batch Masks node combines multiple individual mask inputs into a single batch. It takes a variable number of mask inputs and outputs them as a single batched mask tensor, allowing for batch processing of masks in subsequent nodes. If the input masks have different sizes, they are automatically resized to match the dimensions of the first mask. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `mask` | MASK | Yes | 1 to 50 masks | The mask inputs to combine into a batch. At least one mask is required. You can add up to 50 masks total by clicking the "+" button on the node. If masks have different sizes, they are automatically resized to match the first mask's dimensions. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `mask` | The mask inputs to combine into a batch. At least one mask is required. You can add up to 50 masks total by clicking the "+" button on the node. If masks have different sizes, they are automatically resized to match the first mask's dimensions. | MASK | Yes | 1 to 50 masks | **Note:** This node uses an autogrow input template. You must connect at least one mask. You can add up to 49 more mask inputs for a total of 50 masks. All connected masks will be combined into a single batch. If masks have different heights or widths, they are automatically resized to match the dimensions of the first mask using bilinear interpolation. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | MASK | A single batched mask containing all the input masks stacked together. If no masks are provided, returns None. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | A single batched mask containing all the input masks stacked together. If no masks are provided, returns None. | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchMasksNode/en.md) --- **Source fingerprint (SHA-256):** `7e9bc4be72c7fa8fceab2cf167c72b7e1ff858c0281d977f2ad3ab433d9d58d6` diff --git a/built-in-nodes/BeebleSwitchXImageEdit.mdx b/built-in-nodes/BeebleSwitchXImageEdit.mdx index 7bf4ce5ff..12534f3eb 100644 --- a/built-in-nodes/BeebleSwitchXImageEdit.mdx +++ b/built-in-nodes/BeebleSwitchXImageEdit.mdx @@ -5,31 +5,31 @@ sidebarTitle: "BeebleSwitchXImageEdit" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/en.md) - ## Overview Edit a single image with Beeble SwitchX. This node can switch anything in the scene (background, lighting, costume) while preserving the original subject's pixels. Provide a reference image and/or text prompt to describe the new look. Maximum resolution is approximately 2.77 megapixels. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The source image to edit. | -| `prompt` | STRING | Yes | - | A text description of the desired new look (e.g., "a knight in shining armor"). | -| `alpha_mode` | COMBO | Yes | `"select"`
`"fill"`
`"custom"` | How to handle the alpha matte. "select" uses a keyframe to select the subject, "fill" replaces the entire image without a separate matte, "custom" uses a user-provided mask. | -| `max_resolution` | COMBO | Yes | `"1080p"`
`"720p"` | The maximum resolution for the output image. Higher resolution costs more credits. | -| `seed` | INT | Yes | - | A seed value for reproducibility. | -| `reference_image` | IMAGE | No | - | An optional reference image to guide the style or appearance of the new scene elements. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The source image to edit. | IMAGE | Yes | - | +| `prompt` | A text description of the desired new look (e.g., "a knight in shining armor"). | STRING | Yes | - | +| `alpha_mode` | How to handle the alpha matte. "select" uses a keyframe to select the subject, "fill" replaces the entire image without a separate matte, "custom" uses a user-provided mask. | COMBO | Yes | `"select"`
`"fill"`
`"custom"` | +| `max_resolution` | The maximum resolution for the output image. Higher resolution costs more credits. | COMBO | Yes | `"1080p"`
`"720p"` | +| `seed` | A seed value for reproducibility. | INT | Yes | - | +| `reference_image` | An optional reference image to guide the style or appearance of the new scene elements. | IMAGE | No | - | **Note on `alpha_mode`:** When `alpha_mode` is set to `"select"`, you must also provide an `alpha_keyframe` (a keyframe image used to select the subject). When set to `"custom"`, you must provide an `alpha_mask` (a user-created mask). When set to `"fill"`, no alpha input is needed. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The edited image with the scene elements switched. | -| `alpha` | MASK | The alpha matte used by Beeble. Empty for "fill" mode, which has no separate matte. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The edited image with the scene elements switched. | IMAGE | +| `alpha` | The alpha matte used by Beeble. Empty for "fill" mode, which has no separate matte. | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/en.md) --- **Source fingerprint (SHA-256):** `41f23435686626e3ade28708fcb1da192ded347b210080ee9b17834ea8b727fb` diff --git a/built-in-nodes/BeebleSwitchXVideoEdit.mdx b/built-in-nodes/BeebleSwitchXVideoEdit.mdx index 6164b7065..1c45f96ab 100644 --- a/built-in-nodes/BeebleSwitchXVideoEdit.mdx +++ b/built-in-nodes/BeebleSwitchXVideoEdit.mdx @@ -5,22 +5,20 @@ sidebarTitle: "BeebleSwitchXVideoEdit" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXVideoEdit/en.md) - # Beeble SwitchX Video Edit Edit a video with Beeble SwitchX. This node can switch anything in the scene (background, lighting, costume) while preserving the original subject's pixels and motion. Provide a reference image and/or text prompt to describe the new look. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | N/A | The input video to edit. Maximum 240 frames, maximum ~2.77 megapixels per frame. | -| `prompt` | STRING | Yes | N/A | A text description of the desired new look for the scene. | -| `alpha_mode` | COMBO | Yes | `"fill"`
`"select"`
`"custom"` | The alpha matte mode. "fill" mode has no separate matte and fills the entire frame. "select" mode uses a single keyframe image to define the area to edit. "custom" mode uses a full alpha video to define the area to edit frame by frame. | -| `max_resolution` | COMBO | Yes | `"720p"`
`"1080p"` | The maximum resolution for the output video (default: "1080p"). | -| `seed` | INT | Yes | 0 to 2147483647 | A seed value for reproducibility. Using the same seed with the same inputs will produce the same result. | -| `reference_image` | IMAGE | No | N/A | An optional reference image that describes the desired new look for the scene. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | The input video to edit. Maximum 240 frames, maximum ~2.77 megapixels per frame. | VIDEO | Yes | N/A | +| `prompt` | A text description of the desired new look for the scene. | STRING | Yes | N/A | +| `alpha_mode` | The alpha matte mode. "fill" mode has no separate matte and fills the entire frame. "select" mode uses a single keyframe image to define the area to edit. "custom" mode uses a full alpha video to define the area to edit frame by frame. | COMBO | Yes | `"fill"`
`"select"`
`"custom"` | +| `max_resolution` | The maximum resolution for the output video (default: "1080p"). | COMBO | Yes | `"720p"`
`"1080p"` | +| `seed` | A seed value for reproducibility. Using the same seed with the same inputs will produce the same result. | INT | Yes | 0 to 2147483647 | +| `reference_image` | An optional reference image that describes the desired new look for the scene. | IMAGE | No | N/A | ### Alpha Mode Details @@ -34,10 +32,12 @@ When using `select` mode, you must provide the `alpha_keyframe` image. When usin ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The edited video with the scene changes applied. | -| `alpha` | VIDEO | The alpha matte used by Beeble. This is empty for "fill" mode, which has no separate matte. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The edited video with the scene changes applied. | VIDEO | +| `alpha` | The alpha matte used by Beeble. This is empty for "fill" mode, which has no separate matte. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXVideoEdit/en.md) --- **Source fingerprint (SHA-256):** `e2d67b037863f024f42c97943ec0d2daf32b547b232a7dfedd6de398f4b7ba28` diff --git a/built-in-nodes/BetaSamplingScheduler.mdx b/built-in-nodes/BetaSamplingScheduler.mdx index 61915bea5..dea4cfdf9 100644 --- a/built-in-nodes/BetaSamplingScheduler.mdx +++ b/built-in-nodes/BetaSamplingScheduler.mdx @@ -5,24 +5,24 @@ sidebarTitle: "BetaSamplingScheduler" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BetaSamplingScheduler/en.md) - The BetaSamplingScheduler node generates a sequence of noise levels (sigmas) for the sampling process using a beta scheduling algorithm. It takes a model and configuration parameters to create a customized noise schedule that controls the denoising process during image generation. This scheduler allows fine-tuning of the noise reduction trajectory through alpha and beta parameters. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model used for sampling, which provides the model sampling object | -| `steps` | INT | Yes | 1 to 10000 | The number of sampling steps to generate sigmas for (default: 20) | -| `alpha` | FLOAT | Yes | 0.0 to 50.0 | Alpha parameter for the beta scheduler, controlling the scheduling curve (default: 0.6) | -| `beta` | FLOAT | Yes | 0.0 to 50.0 | Beta parameter for the beta scheduler, controlling the scheduling curve (default: 0.6) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model used for sampling, which provides the model sampling object | MODEL | Yes | - | +| `steps` | The number of sampling steps to generate sigmas for (default: 20) | INT | Yes | 1 to 10000 | +| `alpha` | Alpha parameter for the beta scheduler, controlling the scheduling curve (default: 0.6) | FLOAT | Yes | 0.0 to 50.0 | +| `beta` | Beta parameter for the beta scheduler, controlling the scheduling curve (default: 0.6) | FLOAT | Yes | 0.0 to 50.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `SIGMAS` | SIGMAS | A sequence of noise levels (sigmas) used for the sampling process | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `SIGMAS` | A sequence of noise levels (sigmas) used for the sampling process | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BetaSamplingScheduler/en.md) --- **Source fingerprint (SHA-256):** `4be6f9ba853a1c8ff2b8f58ee3e37829a92e1fe9dc1f042fec20f22e04ae9d77` diff --git a/built-in-nodes/BriaImageEditNode.mdx b/built-in-nodes/BriaImageEditNode.mdx index 740ca1be3..c57f6b233 100644 --- a/built-in-nodes/BriaImageEditNode.mdx +++ b/built-in-nodes/BriaImageEditNode.mdx @@ -5,24 +5,22 @@ sidebarTitle: "BriaImageEditNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaImageEditNode/en.md) - The Bria FIBO Image Edit node allows you to modify an existing image using a text instruction. It sends the image and your prompt to the Bria API, which uses the FIBO model to generate a new, edited version of the image based on your request. You can also provide a mask to limit the edits to a specific area. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"FIBO"` | The model version to use for image editing. | -| `image` | IMAGE | Yes | - | The input image you want to edit. | -| `prompt` | STRING | No | - | The text instruction describing how to edit the image (default: empty). | -| `negative_prompt` | STRING | No | - | Text describing what you do not want to appear in the edited image (default: empty). | -| `structured_prompt` | STRING | No | - | A string containing the structured edit prompt in JSON format. Use this instead of the usual prompt for precise, programmatic control (default: empty). | -| `seed` | INT | Yes | 1 to 2147483647 | A number used to initialize the random generation, ensuring reproducible results (default: 1). | -| `guidance_scale` | FLOAT | Yes | 3.0 to 5.0 | Controls how closely the generated image follows the prompt. A higher value results in stronger adherence (default: 3.0). | -| `steps` | INT | Yes | 20 to 50 | The number of denoising steps the model will perform (default: 50). | -| `moderation` | DYNAMICCOMBO | Yes | `"false"`
`"true"` | Enables or disables content moderation. Selecting `"true"` reveals additional moderation options for prompt content, visual input, and visual output. | -| `mask` | MASK | No | - | An optional mask image. If provided, edits will only be applied to the masked areas of the image. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model version to use for image editing. | COMBO | Yes | `"FIBO"` | +| `image` | The input image you want to edit. | IMAGE | Yes | - | +| `prompt` | The text instruction describing how to edit the image (default: empty). | STRING | No | - | +| `negative_prompt` | Text describing what you do not want to appear in the edited image (default: empty). | STRING | No | - | +| `structured_prompt` | A string containing the structured edit prompt in JSON format. Use this instead of the usual prompt for precise, programmatic control (default: empty). | STRING | No | - | +| `seed` | A number used to initialize the random generation, ensuring reproducible results (default: 1). | INT | Yes | 1 to 2147483647 | +| `guidance_scale` | Controls how closely the generated image follows the prompt. A higher value results in stronger adherence (default: 3.0). | FLOAT | Yes | 3.0 to 5.0 | +| `steps` | The number of denoising steps the model will perform (default: 50). | INT | Yes | 20 to 50 | +| `moderation` | Enables or disables content moderation. Selecting `"true"` reveals additional moderation options for prompt content, visual input, and visual output. | DYNAMICCOMBO | Yes | `"false"`
`"true"` | +| `mask` | An optional mask image. If provided, edits will only be applied to the masked areas of the image. | MASK | No | - | **Important Constraints:** @@ -32,10 +30,12 @@ The Bria FIBO Image Edit node allows you to modify an existing image using a tex ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The edited image returned by the Bria API. | -| `structured_prompt` | STRING | The structured prompt that was used or generated during the editing process. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The edited image returned by the Bria API. | IMAGE | +| `structured_prompt` | The structured prompt that was used or generated during the editing process. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaImageEditNode/en.md) --- **Source fingerprint (SHA-256):** `60a5f42392ba803380695f036f78d4b88436b3d216aea381b2e3c13eeb5c5456` diff --git a/built-in-nodes/BriaRemoveImageBackground.mdx b/built-in-nodes/BriaRemoveImageBackground.mdx index 58d9bb03e..9fbff496c 100644 --- a/built-in-nodes/BriaRemoveImageBackground.mdx +++ b/built-in-nodes/BriaRemoveImageBackground.mdx @@ -5,27 +5,27 @@ sidebarTitle: "BriaRemoveImageBackground" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md) - This node removes the background from an image using the Bria RMBG 2.0 service. It sends the image to an external API for processing and returns the result with the background removed. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image from which the background will be removed. | -| `moderation` | COMBO | No | `"false"`
`"true"` | Moderation settings. When set to `"true"`, additional moderation options become available. | -| `visual_input_moderation` | BOOLEAN | No | - | Enables visual content moderation on the input image. This parameter is only available when `moderation` is set to `"true"`. Default: `False`. | -| `visual_output_moderation` | BOOLEAN | No | - | Enables visual content moderation on the output image. This parameter is only available when `moderation` is set to `"true"`. Default: `True`. | -| `seed` | INT | No | 0 to 2147483647 | A seed value that controls whether the node should re-run. The results are non-deterministic regardless of the seed value. Default: `0`. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image from which the background will be removed. | IMAGE | Yes | - | +| `moderation` | Moderation settings. When set to `"true"`, additional moderation options become available. | COMBO | No | `"false"`
`"true"` | +| `visual_input_moderation` | Enables visual content moderation on the input image. This parameter is only available when `moderation` is set to `"true"`. Default: `False`. | BOOLEAN | No | - | +| `visual_output_moderation` | Enables visual content moderation on the output image. This parameter is only available when `moderation` is set to `"true"`. Default: `True`. | BOOLEAN | No | - | +| `seed` | A seed value that controls whether the node should re-run. The results are non-deterministic regardless of the seed value. Default: `0`. | INT | No | 0 to 2147483647 | **Note:** The `visual_input_moderation` and `visual_output_moderation` parameters are dependent on the `moderation` parameter. They are only active and required if `moderation` is set to `"true"`. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The processed image with its background removed. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The processed image with its background removed. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md) --- **Source fingerprint (SHA-256):** `ba1626cbe1a98eb0b20d10a2857307b7589e05ea9f39564273dbb6ceeb8b2d41` diff --git a/built-in-nodes/BriaRemoveVideoBackground.mdx b/built-in-nodes/BriaRemoveVideoBackground.mdx index 7b8230b7d..8aea1947e 100644 --- a/built-in-nodes/BriaRemoveVideoBackground.mdx +++ b/built-in-nodes/BriaRemoveVideoBackground.mdx @@ -5,25 +5,25 @@ sidebarTitle: "BriaRemoveVideoBackground" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md) - This node removes the background from a video using the Bria AI service. It processes the input video and replaces the original background with a solid color of your choice. The operation is performed via an external API, and the result is returned as a new video file. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | N/A | The input video file from which the background will be removed. | -| `background_color` | STRING | Yes | `"Black"`
`"White"`
`"Gray"`
`"Red"`
`"Green"`
`"Blue"`
`"Yellow"`
`"Cyan"`
`"Magenta"`
`"Orange"` | The solid color to use as the new background for the output video. | -| `seed` | INT | No | 0 to 2147483647 | A seed value that controls whether the node should re-run. The results are non-deterministic regardless of the seed value. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | The input video file from which the background will be removed. | VIDEO | Yes | N/A | +| `background_color` | The solid color to use as the new background for the output video. | STRING | Yes | `"Black"`
`"White"`
`"Gray"`
`"Red"`
`"Green"`
`"Blue"`
`"Yellow"`
`"Cyan"`
`"Magenta"`
`"Orange"` | +| `seed` | A seed value that controls whether the node should re-run. The results are non-deterministic regardless of the seed value. (default: 0) | INT | No | 0 to 2147483647 | **Note:** The input video must have a duration of 60 seconds or less. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The processed video file with the background removed and replaced by the selected color. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The processed video file with the background removed and replaced by the selected color. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md) --- **Source fingerprint (SHA-256):** `bfff6362ab9c6664b7240926c4b84c7a1c05fd5ab450cf240a46db16e70cc6f7` diff --git a/built-in-nodes/BriaTransparentVideoBackground.mdx b/built-in-nodes/BriaTransparentVideoBackground.mdx new file mode 100644 index 000000000..e3ebe25d0 --- /dev/null +++ b/built-in-nodes/BriaTransparentVideoBackground.mdx @@ -0,0 +1,29 @@ +--- +title: "BriaTransparentVideoBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaTransparentVideoBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BriaTransparentVideoBackground" +icon: "circle" +mode: wide +--- +# Bria Remove Video Background (Transparent) + +This node removes the background from a video using Bria's AI service and outputs the cut-out frames along with an alpha mask. Connect both outputs to a compositing node, or feed them to a Save WEBM node to write a transparent video. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `video` | The input video to process | VIDEO | Yes | - | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0) | INT | Yes | 0 to 2147483647 | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `images` | The video frames with the background removed | IMAGE | +| `mask` | The alpha mask for the video frames | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaTransparentVideoBackground/en.md) + +--- +**Source fingerprint (SHA-256):** `45fb3fc185b5c6420d6ac2b87f2403566e1ef6dcdc57791fb833b6ccb2a64cd9` diff --git a/built-in-nodes/BriaVideoGreenScreen.mdx b/built-in-nodes/BriaVideoGreenScreen.mdx new file mode 100644 index 000000000..23fef71ee --- /dev/null +++ b/built-in-nodes/BriaVideoGreenScreen.mdx @@ -0,0 +1,31 @@ +--- +title: "BriaVideoGreenScreen - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaVideoGreenScreen node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BriaVideoGreenScreen" +icon: "circle" +mode: wide +--- +# Bria Video Green Screen + +This node replaces a video's background with a solid chroma-key screen using the Bria API. It processes the input video and returns a new video where the original background has been removed and replaced with a uniform green or blue screen color. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `video` | The input video to process | VIDEO | Yes | Video file | +| `green_shade` | Solid chroma-key shade applied behind the foreground: broadcast_green (#00B140), chroma_green (#00FF00), or blue_screen (#0000FF) | STRING | Yes | `"broadcast_green"`
`"chroma_green"`
`"blue_screen"` | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0) | INT | Yes | 0 to 2147483647 | + +**Note:** The input video must not exceed 60 seconds in duration. + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `video` | The processed video with the original background replaced by the selected chroma-key shade | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaVideoGreenScreen/en.md) + +--- +**Source fingerprint (SHA-256):** `663b41bf51bd8d871a59e756f226e4bf6244bb616ebcd2e8ccfa426137f2a05b` diff --git a/built-in-nodes/BriaVideoReplaceBackground.mdx b/built-in-nodes/BriaVideoReplaceBackground.mdx new file mode 100644 index 000000000..890329a01 --- /dev/null +++ b/built-in-nodes/BriaVideoReplaceBackground.mdx @@ -0,0 +1,32 @@ +--- +title: "BriaVideoReplaceBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaVideoReplaceBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BriaVideoReplaceBackground" +icon: "circle" +mode: wide +--- +# Bria Video Replace Background + +This node replaces the background of a video with a supplied image or video using Bria's API. The output keeps the foreground video's resolution and frame rate; a background with a different aspect ratio is stretched to fit, so matching aspect ratios produces undistorted results. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `video` | Foreground video whose background is replaced. | VIDEO | Yes | - | +| `background_image` | Background image to composite behind the foreground. Provide either a background image or a background video, not both. | IMAGE | No | - | +| `background_video` | Background video to composite behind the foreground. Provide either a background image or a background video, not both. | VIDEO | No | - | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | Yes | 0 to 2147483647 | + +**Note:** You must provide exactly one of `background_image` or `background_video` — not both and not neither. The foreground video must be 60 seconds or shorter. + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `video` | The resulting video with the background replaced. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaVideoReplaceBackground/en.md) + +--- +**Source fingerprint (SHA-256):** `4eb9650e5ca88baf2a91a9309b87936b3d18b88e314a56ab4c73d06a9143c645` diff --git a/built-in-nodes/ByteDance2FirstLastFrameNode.mdx b/built-in-nodes/ByteDance2FirstLastFrameNode.mdx index ca82e807a..1c286a288 100644 --- a/built-in-nodes/ByteDance2FirstLastFrameNode.mdx +++ b/built-in-nodes/ByteDance2FirstLastFrameNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "ByteDance2FirstLastFrameNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/en.md) - This node uses ByteDance's Seedance 2.0 model to generate a video. It creates the video based on a text prompt and a required first frame image. You can optionally provide a last frame image to guide the ending of the video sequence. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | The model to use for video generation. Seedance 2.0 is for maximum quality, while Seedance 2.0 Fast is optimized for speed. Selecting a model will reveal additional inputs for `prompt`, `resolution`, `ratio`, `duration`, and `generate_audio`. | -| `first_frame` | IMAGE | No | - | The image to use as the first frame of the video. | -| `last_frame` | IMAGE | No | - | The image to use as the last frame of the video. | -| `first_frame_asset_id` | STRING | No | - | A Seedance asset_id to use as the first frame. This cannot be used at the same time as the `first_frame` image input. Default is an empty string. | -| `last_frame_asset_id` | STRING | No | - | A Seedance asset_id to use as the last frame. This cannot be used at the same time as the `last_frame` image input. Default is an empty string. | -| `seed` | INT | No | 0 to 2147483647 | A seed value. Changing this seed will cause the node to re-run, but the results are non-deterministic. Default is 0. | -| `watermark` | BOOLEAN | No | - | Whether to add a watermark to the generated video. Default is False. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to use for video generation. Seedance 2.0 is for maximum quality, while Seedance 2.0 Fast is optimized for speed. Selecting a model will reveal additional inputs for `prompt`, `resolution`, `ratio`, `duration`, and `generate_audio`. | COMBO | Yes | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | +| `first_frame` | The image to use as the first frame of the video. | IMAGE | No | - | +| `last_frame` | The image to use as the last frame of the video. | IMAGE | No | - | +| `first_frame_asset_id` | A Seedance asset_id to use as the first frame. This cannot be used at the same time as the `first_frame` image input. Default is an empty string. | STRING | No | - | +| `last_frame_asset_id` | A Seedance asset_id to use as the last frame. This cannot be used at the same time as the `last_frame` image input. Default is an empty string. | STRING | No | - | +| `seed` | A seed value. Changing this seed will cause the node to re-run, but the results are non-deterministic. Default is 0. | INT | No | 0 to 2147483647 | +| `watermark` | Whether to add a watermark to the generated video. Default is False. | BOOLEAN | No | - | **Parameter Constraints:** * You must provide **either** a `first_frame` image **or** a `first_frame_asset_id`. Providing both will cause an error. @@ -28,9 +26,11 @@ This node uses ByteDance's Seedance 2.0 model to generate a video. It creates th ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/en.md) --- **Source fingerprint (SHA-256):** `434d6ad8f005515677b0de73b57df916aa589adff94aad892827202e6ebcb6e1` diff --git a/built-in-nodes/ByteDance2ReferenceNode.mdx b/built-in-nodes/ByteDance2ReferenceNode.mdx index 01b30a6ad..a52f56e93 100644 --- a/built-in-nodes/ByteDance2ReferenceNode.mdx +++ b/built-in-nodes/ByteDance2ReferenceNode.mdx @@ -5,17 +5,15 @@ sidebarTitle: "ByteDance2ReferenceNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/en.md) - The ByteDance Seedance 2.0 Reference to Video node uses the Seedance 2.0 AI model to create, edit, or extend videos based on your text prompt and provided reference materials. It can use images, videos, and audio as references to guide the generation process, supporting tasks like video editing and extension. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | The AI model to use. Seedance 2.0 is for maximum quality, while Seedance 2.0 Fast is optimized for speed. Selecting a model reveals additional required inputs for `prompt`, `resolution`, `duration`, `ratio`, `generate_audio`, and optional inputs for `reference_images`, `reference_videos`, `reference_audios`, `reference_assets`, and `auto_downscale`. | -| `seed` | INT | No | 0 to 2147483647 | A number used to control whether the node should re-run. The results are non-deterministic regardless of the seed value (default: 0). | -| `watermark` | BOOLEAN | No | `True` / `False` | Whether to add a watermark to the generated video (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model to use. Seedance 2.0 is for maximum quality, while Seedance 2.0 Fast is optimized for speed. Selecting a model reveals additional required inputs for `prompt`, `resolution`, `duration`, `ratio`, `generate_audio`, and optional inputs for `reference_images`, `reference_videos`, `reference_audios`, `reference_assets`, and `auto_downscale`. | COMBO | Yes | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | +| `seed` | A number used to control whether the node should re-run. The results are non-deterministic regardless of the seed value (default: 0). | INT | No | 0 to 2147483647 | +| `watermark` | Whether to add a watermark to the generated video (default: False). | BOOLEAN | No | `True` / `False` | **Important Constraints:** * At least one reference image or video (provided via the `reference_images`, `reference_videos`, or `reference_assets` inputs) is required for the node to work. @@ -27,9 +25,11 @@ The ByteDance Seedance 2.0 Reference to Video node uses the Seedance 2.0 AI mode ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/en.md) --- **Source fingerprint (SHA-256):** `4420682a5c2773ce1b4df2f4c9537754ec90ad8411d6332fa38d48f5ea88d66f` diff --git a/built-in-nodes/ByteDance2TextToVideoNode.mdx b/built-in-nodes/ByteDance2TextToVideoNode.mdx index 2edd20db6..5dd43596d 100644 --- a/built-in-nodes/ByteDance2TextToVideoNode.mdx +++ b/built-in-nodes/ByteDance2TextToVideoNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ByteDance2TextToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md) - This node uses ByteDance's Seedance 2.0 API to generate a video from a text description. It sends your prompt to the selected model, waits for the video to be processed, and returns the final result. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | The model to use for video generation. Selecting a model will reveal additional required inputs for the prompt, resolution, aspect ratio, duration, and audio generation. "Seedance 2.0" is for maximum quality; "Seedance 2.0 Fast" is for speed optimization. | -| `seed` | INT | No | 0 to 2147483647 | A seed value (default: 0). The node will re-run if this value changes, but the results are non-deterministic regardless of the seed. | -| `watermark` | BOOLEAN | No | True / False | Whether to add a watermark to the video (default: False). This is an advanced setting. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to use for video generation. Selecting a model will reveal additional required inputs for the prompt, resolution, aspect ratio, duration, and audio generation. "Seedance 2.0" is for maximum quality; "Seedance 2.0 Fast" is for speed optimization. | COMBO | Yes | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | +| `seed` | A seed value (default: 0). The node will re-run if this value changes, but the results are non-deterministic regardless of the seed. | INT | No | 0 to 2147483647 | +| `watermark` | Whether to add a watermark to the video (default: False). This is an advanced setting. | BOOLEAN | No | True / False | **Note:** The `model` parameter is a dynamic combo. When you select a model, it will reveal several required sub-parameters that must be filled in, including the text prompt, resolution, aspect ratio, duration, and whether to generate audio. The prompt text must be at least 1 character long after removing whitespace. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `670a35641fa421fb67ea067cdf38aff0d0fb51056ecc26485b5594e944adbbc8` diff --git a/built-in-nodes/ByteDanceCreateImageAsset.mdx b/built-in-nodes/ByteDanceCreateImageAsset.mdx index e6fec7872..675dda278 100644 --- a/built-in-nodes/ByteDanceCreateImageAsset.mdx +++ b/built-in-nodes/ByteDanceCreateImageAsset.mdx @@ -5,16 +5,14 @@ sidebarTitle: "ByteDanceCreateImageAsset" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/en.md) - This node creates a personal image asset for ByteDance's Seedance 2.0 service. It uploads an input image and registers it within a specified asset group. If no group ID is provided, it will initiate a real-person authentication process in your browser to create a new group before adding the asset. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | | The image to be registered as a personal asset. | -| `group_id` | STRING | No | | Reuse an existing Seedance asset group ID to skip repeated human verification for the same person. Leave empty to run real-person authentication in the browser and create a new group (default: empty). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The image to be registered as a personal asset. | IMAGE | Yes | | +| `group_id` | Reuse an existing Seedance asset group ID to skip repeated human verification for the same person. Leave empty to run real-person authentication in the browser and create a new group (default: empty). | STRING | No | | **Image Constraints:** * The image width must be between 300 and 6000 pixels. @@ -23,10 +21,12 @@ This node creates a personal image asset for ByteDance's Seedance 2.0 service. I ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `asset_id` | STRING | The unique identifier for the newly created image asset. | -| `group_id` | STRING | The identifier for the asset group. This will be the provided `group_id` or a newly created one. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `asset_id` | The unique identifier for the newly created image asset. | STRING | +| `group_id` | The identifier for the asset group. This will be the provided `group_id` or a newly created one. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/en.md) --- **Source fingerprint (SHA-256):** `16e55191af67306bf995c8508f56b64491d2a107e168a3dddb4a05f3468cf103` diff --git a/built-in-nodes/ByteDanceCreateVideoAsset.mdx b/built-in-nodes/ByteDanceCreateVideoAsset.mdx index c3966f202..b60f68943 100644 --- a/built-in-nodes/ByteDanceCreateVideoAsset.mdx +++ b/built-in-nodes/ByteDanceCreateVideoAsset.mdx @@ -5,16 +5,14 @@ sidebarTitle: "ByteDanceCreateVideoAsset" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/en.md) - This node creates a personal video asset for Seedance 2.0. It uploads your input video and registers it within a specified asset group. If you don't provide a group ID, it will guide you through a real-person verification process in your browser to create a new group first. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | - | Video to register as a personal asset. | -| `group_id` | STRING | No | - | Reuse an existing Seedance asset group ID to skip repeated human verification for the same person. Leave empty to run real-person authentication in the browser and create a new group. (default: empty string) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | Video to register as a personal asset. | VIDEO | Yes | - | +| `group_id` | Reuse an existing Seedance asset group ID to skip repeated human verification for the same person. Leave empty to run real-person authentication in the browser and create a new group. (default: empty string) | STRING | No | - | **Video Constraints:** * **Duration:** Must be between 2 and 15 seconds. @@ -25,10 +23,12 @@ This node creates a personal video asset for Seedance 2.0. It uploads your input ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `asset_id` | STRING | The unique identifier for the newly created video asset. | -| `group_id` | STRING | The identifier of the asset group containing the new video. This will be the provided `group_id` or a newly created one. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `asset_id` | The unique identifier for the newly created video asset. | STRING | +| `group_id` | The identifier of the asset group containing the new video. This will be the provided `group_id` or a newly created one. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/en.md) --- **Source fingerprint (SHA-256):** `6598a586dae18811698bd505333ec45b7d2a60aa85728a38e5de790c5bacbdb7` diff --git a/built-in-nodes/ByteDanceFirstLastFrameNode.mdx b/built-in-nodes/ByteDanceFirstLastFrameNode.mdx index 2f21f2ffe..fc2e73325 100644 --- a/built-in-nodes/ByteDanceFirstLastFrameNode.mdx +++ b/built-in-nodes/ByteDanceFirstLastFrameNode.mdx @@ -5,31 +5,31 @@ sidebarTitle: "ByteDanceFirstLastFrameNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/en.md) - This node generates a video using a text prompt along with first and last frame images. It takes your description and the two key frames to create a complete video sequence that transitions between them. The node provides various options to control the video's resolution, aspect ratio, duration, and other generation parameters. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"` | The model to use for video generation (default: `"seedance-1-0-lite-i2v-250428"`). | -| `prompt` | STRING | Yes | - | The text prompt used to generate the video. | -| `first_frame` | IMAGE | Yes | - | First frame to be used for the video. Must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | -| `last_frame` | IMAGE | Yes | - | Last frame to be used for the video. Must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | -| `resolution` | COMBO | Yes | `"480p"`
`"720p"`
`"1080p"` | The resolution of the output video. | -| `aspect_ratio` | COMBO | Yes | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | The aspect ratio of the output video (default: `"adaptive"`). | -| `duration` | INT | Yes | 3 - 12 | The duration of the output video in seconds (default: 5). Note: For the `seedance-1-5-pro-251215` model, the minimum supported duration is 4 seconds. | -| `seed` | INT | No | 0 - 2147483647 | Seed to use for generation (default: 0). | -| `camera_fixed` | BOOLEAN | No | - | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect (default: False). | -| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the video (default: False). | -| `generate_audio` | BOOLEAN | No | - | This parameter is ignored for any model except `seedance-1-5-pro-251215` (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to use for video generation (default: `"seedance-1-0-lite-i2v-250428"`). | COMBO | Yes | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"` | +| `prompt` | The text prompt used to generate the video. | STRING | Yes | - | +| `first_frame` | First frame to be used for the video. Must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | IMAGE | Yes | - | +| `last_frame` | Last frame to be used for the video. Must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | IMAGE | Yes | - | +| `resolution` | The resolution of the output video. | COMBO | Yes | `"480p"`
`"720p"`
`"1080p"` | +| `aspect_ratio` | The aspect ratio of the output video (default: `"adaptive"`). | COMBO | Yes | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | +| `duration` | The duration of the output video in seconds (default: 5). Note: For the `seedance-1-5-pro-251215` model, the minimum supported duration is 4 seconds. | INT | Yes | 3 - 12 | +| `seed` | Seed to use for generation (default: 0). | INT | No | 0 - 2147483647 | +| `camera_fixed` | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect (default: False). | BOOLEAN | No | - | +| `watermark` | Whether to add an "AI generated" watermark to the video (default: False). | BOOLEAN | No | - | +| `generate_audio` | This parameter is ignored for any model except `seedance-1-5-pro-251215` (default: False). | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/en.md) --- **Source fingerprint (SHA-256):** `ac16faf3aabcb06154c6a8815cc20c8a0e0c3a6b5b21e7d49813c10dce33d7be` diff --git a/built-in-nodes/ByteDanceImageEditNode.mdx b/built-in-nodes/ByteDanceImageEditNode.mdx index 9041fffd6..3f6d87068 100644 --- a/built-in-nodes/ByteDanceImageEditNode.mdx +++ b/built-in-nodes/ByteDanceImageEditNode.mdx @@ -5,26 +5,26 @@ sidebarTitle: "ByteDanceImageEditNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageEditNode/en.md) - The ByteDance Image Edit node allows you to modify images using ByteDance's AI models through an API. You provide an input image and a text prompt describing the desired changes, and the node processes the image according to your instructions. The node handles the API communication automatically and returns the edited image. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | COMBO | seededit_3 | Image2ImageModelName options | Model name | -| `image` | IMAGE | IMAGE | - | - | The base image to edit | -| `prompt` | STRING | STRING | "" | - | Instruction to edit image | -| `seed` | INT | INT | 0 | 0-2147483647 | Seed to use for generation | -| `guidance_scale` | FLOAT | FLOAT | 5.5 | 1.0-10.0 | Higher value makes the image follow the prompt more closely | -| `watermark` | BOOLEAN | BOOLEAN | True | - | Whether to add an "AI generated" watermark to the image | +| Parameter | Description | Data Type | Input Type | Default | Range | +| --- | --- | --- | --- | --- | --- | +| `model` | Model name | MODEL | COMBO | seededit_3 | Image2ImageModelName options | +| `image` | The base image to edit | IMAGE | IMAGE | - | - | +| `prompt` | Instruction to edit image | STRING | STRING | "" | - | +| `seed` | Seed to use for generation | INT | INT | 0 | 0-2147483647 | +| `guidance_scale` | Higher value makes the image follow the prompt more closely | FLOAT | FLOAT | 5.5 | 1.0-10.0 | +| `watermark` | Whether to add an "AI generated" watermark to the image | BOOLEAN | BOOLEAN | True | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The edited image returned from the ByteDance API | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The edited image returned from the ByteDance API | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageEditNode/en.md) --- **Source fingerprint (SHA-256):** `9dc13d89f84756b545120efb5535e08ada163d4534975809f5056bdf7d8bfb73` diff --git a/built-in-nodes/ByteDanceImageNode.mdx b/built-in-nodes/ByteDanceImageNode.mdx index 8cb18ca07..aff04fd94 100644 --- a/built-in-nodes/ByteDanceImageNode.mdx +++ b/built-in-nodes/ByteDanceImageNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "ByteDanceImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md) - The ByteDance Image node generates images using ByteDance models through an API based on text prompts. It allows you to select a model, specify image dimensions, and control various generation parameters like seed and guidance scale. The node connects to ByteDance's image generation service and returns the created image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | STRING | Yes | `"seedream-3-0-t2i-250415"` | The ByteDance model to use for image generation. Currently only one model option is available. | -| `prompt` | STRING | Yes | - | The text prompt used to generate the image. Must be at least 1 character long after stripping whitespace. | -| `size_preset` | STRING | Yes | See description | Pick a recommended size. Select Custom to use the width and height below. Available presets are defined by the `RECOMMENDED_PRESETS` list. | -| `width` | INT | Yes | 512 to 2048 (step 64) | Custom width for the image. This value is only used when `size_preset` is set to `Custom`. Default: 1024. | -| `height` | INT | Yes | 512 to 2048 (step 64) | Custom height for the image. This value is only used when `size_preset` is set to `Custom`. Default: 1024. | -| `seed` | INT | No | 0 to 2147483647 (step 1) | Seed to use for generation. Default: 0. | -| `guidance_scale` | FLOAT | No | 1.0 to 10.0 (step 0.01) | Higher value makes the image follow the prompt more closely. Default: 2.5. | -| `watermark` | BOOLEAN | No | True / False | Whether to add an "AI generated" watermark to the image. Default: False. This is an advanced parameter. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The ByteDance model to use for image generation. Currently only one model option is available. | STRING | Yes | `"seedream-3-0-t2i-250415"` | +| `prompt` | The text prompt used to generate the image. Must be at least 1 character long after stripping whitespace. | STRING | Yes | - | +| `size_preset` | Pick a recommended size. Select Custom to use the width and height below. Available presets are defined by the `RECOMMENDED_PRESETS` list. | STRING | Yes | See description | +| `width` | Custom width for the image. This value is only used when `size_preset` is set to `Custom`. Default: 1024. | INT | Yes | 512 to 2048 (step 64) | +| `height` | Custom height for the image. This value is only used when `size_preset` is set to `Custom`. Default: 1024. | INT | Yes | 512 to 2048 (step 64) | +| `seed` | Seed to use for generation. Default: 0. | INT | No | 0 to 2147483647 (step 1) | +| `guidance_scale` | Higher value makes the image follow the prompt more closely. Default: 2.5. | FLOAT | No | 1.0 to 10.0 (step 0.01) | +| `watermark` | Whether to add an "AI generated" watermark to the image. Default: False. This is an advanced parameter. | BOOLEAN | No | True / False | **Note on size parameters:** The `width` and `height` parameters are only used when `size_preset` is set to `Custom`. If a preset size is selected, the preset's dimensions override the custom width and height values. Both width and height must be between 512 and 2048 pixels when using custom dimensions. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The generated image returned from the ByteDance API as a tensor. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The generated image returned from the ByteDance API as a tensor. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md) --- **Source fingerprint (SHA-256):** `69c1f6fd24e6e184b1a1d785b541c8962f3751d2bbd121d6a3b105d66d58d4b1` diff --git a/built-in-nodes/ByteDanceImageReferenceNode.mdx b/built-in-nodes/ByteDanceImageReferenceNode.mdx index 163a2fc4c..f7ac1669f 100644 --- a/built-in-nodes/ByteDanceImageReferenceNode.mdx +++ b/built-in-nodes/ByteDanceImageReferenceNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "ByteDanceImageReferenceNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/en.md) - The ByteDance Image Reference Node generates videos using a text prompt and one to four reference images. It sends the images and prompt to an external API service that creates a video matching your description while incorporating the visual style and content from your reference images. The node provides various controls for video resolution, aspect ratio, duration, and other generation parameters. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | STRING | Yes | `"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"` | The AI model to use for video generation (default: `"seedance-1-0-lite-i2v-250428"`). | -| `prompt` | STRING | Yes | - | The text prompt used to generate the video. | -| `images` | IMAGE | Yes | - | One to four images. Each image must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | -| `resolution` | STRING | Yes | `"480p"`
`"720p"` | The resolution of the output video. | -| `aspect_ratio` | STRING | Yes | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | The aspect ratio of the output video (default: `"adaptive"`). | -| `duration` | INT | Yes | 3 - 12 | The duration of the output video in seconds (default: 5). | -| `seed` | INT | No | 0 - 2147483647 | Seed to use for generation (default: 0). | -| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the video (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model to use for video generation (default: `"seedance-1-0-lite-i2v-250428"`). | STRING | Yes | `"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"` | +| `prompt` | The text prompt used to generate the video. | STRING | Yes | - | +| `images` | One to four images. Each image must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | IMAGE | Yes | - | +| `resolution` | The resolution of the output video. | STRING | Yes | `"480p"`
`"720p"` | +| `aspect_ratio` | The aspect ratio of the output video (default: `"adaptive"`). | STRING | Yes | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | +| `duration` | The duration of the output video in seconds (default: 5). | INT | Yes | 3 - 12 | +| `seed` | Seed to use for generation (default: 0). | INT | No | 0 - 2147483647 | +| `watermark` | Whether to add an "AI generated" watermark to the video (default: False). | BOOLEAN | No | - | **Note:** The prompt text must not contain the following parameter strings: `--resolution`, `--ratio`, `--duration`, `--seed`, or `--watermark`. These values are controlled exclusively through their dedicated input widgets. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file based on the input prompt and reference images. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file based on the input prompt and reference images. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/en.md) --- **Source fingerprint (SHA-256):** `5365f846cafc80333bc8db5bce9101d83e69f3aae1625f275de7a172623a54b9` diff --git a/built-in-nodes/ByteDanceImageToVideoNode.mdx b/built-in-nodes/ByteDanceImageToVideoNode.mdx index 5ea737052..ade73cbba 100644 --- a/built-in-nodes/ByteDanceImageToVideoNode.mdx +++ b/built-in-nodes/ByteDanceImageToVideoNode.mdx @@ -5,32 +5,32 @@ sidebarTitle: "ByteDanceImageToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md) - The ByteDance Image to Video node generates videos using ByteDance models through an API based on an input image and text prompt. It takes a starting image frame and creates a video sequence that follows the provided description. The node offers various customization options for video resolution, aspect ratio, duration, and other generation parameters. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | STRING | Yes | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"`
`"seedance-1-0-pro-fast-251015"` | The ByteDance model to use for video generation (default: `"seedance-1-0-pro-fast-251015"`). | -| `prompt` | STRING | Yes | - | The text prompt used to generate the video. Must be at least 1 character long after trimming whitespace. | -| `image` | IMAGE | Yes | - | First frame to be used for the video. Must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | -| `resolution` | STRING | Yes | `"480p"`
`"720p"`
`"1080p"` | The resolution of the output video. | -| `aspect_ratio` | STRING | Yes | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | The aspect ratio of the output video. | -| `duration` | INT | Yes | 3 - 12 | The duration of the output video in seconds (default: 5). For the `seedance-1-5-pro-251215` model, the minimum supported duration is 4 seconds. | -| `seed` | INT | No | 0 - 2147483647 | Seed to use for generation (default: 0). | -| `camera_fixed` | BOOLEAN | No | - | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect (default: False). | -| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the video (default: False). | -| `generate_audio` | BOOLEAN | No | - | This parameter is ignored for any model except `seedance-1-5-pro-251215` (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The ByteDance model to use for video generation (default: `"seedance-1-0-pro-fast-251015"`). | STRING | Yes | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"`
`"seedance-1-0-pro-fast-251015"` | +| `prompt` | The text prompt used to generate the video. Must be at least 1 character long after trimming whitespace. | STRING | Yes | - | +| `image` | First frame to be used for the video. Must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | IMAGE | Yes | - | +| `resolution` | The resolution of the output video. | STRING | Yes | `"480p"`
`"720p"`
`"1080p"` | +| `aspect_ratio` | The aspect ratio of the output video. | STRING | Yes | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | +| `duration` | The duration of the output video in seconds (default: 5). For the `seedance-1-5-pro-251215` model, the minimum supported duration is 4 seconds. | INT | Yes | 3 - 12 | +| `seed` | Seed to use for generation (default: 0). | INT | No | 0 - 2147483647 | +| `camera_fixed` | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect (default: False). | BOOLEAN | No | - | +| `watermark` | Whether to add an "AI generated" watermark to the video (default: False). | BOOLEAN | No | - | +| `generate_audio` | This parameter is ignored for any model except `seedance-1-5-pro-251215` (default: False). | BOOLEAN | No | - | **Note:** The prompt must not contain the following words (case-insensitive): `resolution`, `ratio`, `duration`, `seed`, `camerafixed`, `watermark`. These parameters are set via their dedicated inputs. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file based on the input image and prompt parameters. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file based on the input image and prompt parameters. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `7b77df4ab83ef41164eff80a4c02478d5480c9368aa67bcd624fe2f8375d6e07` diff --git a/built-in-nodes/ByteDanceSeedNode.mdx b/built-in-nodes/ByteDanceSeedNode.mdx index 9c5c70694..71c32af64 100644 --- a/built-in-nodes/ByteDanceSeedNode.mdx +++ b/built-in-nodes/ByteDanceSeedNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "ByteDanceSeedNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/en.md) - ## Overview Generate text responses using ByteDance's Seed 2.0 models. Provide a text prompt and optionally include images or videos for multimodal context. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text input to the model. | -| `model` | COMBO | Yes | `"Seed 2.0 Pro"`
`"Seed 2.0 Lite"`
`"Seed 2.0 Mini"` | The Seed model used to generate the response. | -| `seed` | INT | Yes | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | -| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate the model's behavior. (default: "") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text input to the model. | STRING | Yes | N/A | +| `model` | The Seed model used to generate the response. | COMBO | Yes | `"Seed 2.0 Pro"`
`"Seed 2.0 Lite"`
`"Seed 2.0 Mini"` | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | Yes | 0 to 2147483647 | +| `system_prompt` | Foundational instructions that dictate the model's behavior. (default: "") | STRING | No | N/A | **Note on `model` parameter:** The `model` parameter is a dynamic combo that also accepts images and videos. You can connect image and video inputs to this parameter to provide multimodal context. A maximum of 20 images and 4 videos are supported per request. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The generated text response from the Seed model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated text response from the Seed model. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/en.md) --- **Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172` diff --git a/built-in-nodes/ByteDanceSeedreamNode.mdx b/built-in-nodes/ByteDanceSeedreamNode.mdx index 78e931b2f..824f2b8c5 100644 --- a/built-in-nodes/ByteDanceSeedreamNode.mdx +++ b/built-in-nodes/ByteDanceSeedreamNode.mdx @@ -5,25 +5,23 @@ sidebarTitle: "ByteDanceSeedreamNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md) - The ByteDance Seedream 4.5 & 5.0 node provides unified text-to-image generation and precise single-sentence editing capabilities at up to 4K resolution. It can create new images from text prompts or edit existing images using text instructions. The node supports both single image generation and sequential generation of multiple related images. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | STRING | Yes | "seedream 5.0 lite"
"seedream-4-5-251128"
"seedream-4-0-250828" | The Seedream model to use for generation. | -| `prompt` | STRING | Yes | - | Text prompt for creating or editing an image. Must be at least 1 character long. | -| `image` | IMAGE | No | - | Input image(s) for image-to-image generation. Reference image(s) for single or multi-reference generation. Maximum of 14 reference images for seedream-5-0-260128, or 10 for other models. | -| `size_preset` | STRING | No | Multiple options available | Pick a recommended size. Select Custom to use the width and height below. Default: first preset from RECOMMENDED_PRESETS_SEEDREAM_4. | -| `width` | INT | No | 1024 to 6240 (step 2) | Custom width for image. Value is working only if `size_preset` is set to `Custom`. Default: 2048. | -| `height` | INT | No | 1024 to 4992 (step 2) | Custom height for image. Value is working only if `size_preset` is set to `Custom`. Default: 2048. | -| `sequential_image_generation` | STRING | No | "disabled"
"auto" | Group image generation mode. "disabled" generates a single image. "auto" lets the model decide whether to generate multiple related images (e.g., story scenes, character variations). Default: "disabled". | -| `max_images` | INT | No | 1 to 15 (step 1) | Maximum number of images to generate when sequential_image_generation='auto'. Total images (input + generated) cannot exceed 15. Default: 1. | -| `seed` | INT | No | 0 to 2147483647 (step 1) | Seed to use for generation. Default: 0. | -| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the image. Default: False. | -| `fail_on_partial` | BOOLEAN | No | - | If enabled, abort execution if any requested images are missing or return an error. Default: True. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The Seedream model to use for generation. | STRING | Yes | "seedream 5.0 lite"
"seedream-4-5-251128"
"seedream-4-0-250828" | +| `prompt` | Text prompt for creating or editing an image. Must be at least 1 character long. | STRING | Yes | - | +| `image` | Input image(s) for image-to-image generation. Reference image(s) for single or multi-reference generation. Maximum of 14 reference images for seedream-5-0-260128, or 10 for other models. | IMAGE | No | - | +| `size_preset` | Pick a recommended size. Select Custom to use the width and height below. Default: first preset from RECOMMENDED_PRESETS_SEEDREAM_4. | STRING | No | Multiple options available | +| `width` | Custom width for image. Value is working only if `size_preset` is set to `Custom`. Default: 2048. | INT | No | 1024 to 6240 (step 2) | +| `height` | Custom height for image. Value is working only if `size_preset` is set to `Custom`. Default: 2048. | INT | No | 1024 to 4992 (step 2) | +| `sequential_image_generation` | Group image generation mode. "disabled" generates a single image. "auto" lets the model decide whether to generate multiple related images (e.g., story scenes, character variations). Default: "disabled". | STRING | No | "disabled"
"auto" | +| `max_images` | Maximum number of images to generate when sequential_image_generation='auto'. Total images (input + generated) cannot exceed 15. Default: 1. | INT | No | 1 to 15 (step 1) | +| `seed` | Seed to use for generation. Default: 0. | INT | No | 0 to 2147483647 (step 1) | +| `watermark` | Whether to add an "AI generated" watermark to the image. Default: False. | BOOLEAN | No | - | +| `fail_on_partial` | If enabled, abort execution if any requested images are missing or return an error. Default: True. | BOOLEAN | No | - | **Notes on parameter constraints:** - The minimum image resolution depends on the selected model: 3.68MP for seedream-4-5 and seedream-5-0 models, 0.92MP for seedream-4-0 models. @@ -34,9 +32,11 @@ The ByteDance Seedream 4.5 & 5.0 node provides unified text-to-image generation ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | Generated image(s) based on the input parameters and prompt. Returns a single image tensor or a batch of image tensors if multiple images are generated. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | Generated image(s) based on the input parameters and prompt. Returns a single image tensor or a batch of image tensors if multiple images are generated. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md) --- **Source fingerprint (SHA-256):** `daddffc265ab7b24746337825239c25b633a923804b6e5ad11149aea15772a7f` diff --git a/built-in-nodes/ByteDanceSeedreamNodeV2.mdx b/built-in-nodes/ByteDanceSeedreamNodeV2.mdx index 7f30f6fd4..fa194242e 100644 --- a/built-in-nodes/ByteDanceSeedreamNodeV2.mdx +++ b/built-in-nodes/ByteDanceSeedreamNodeV2.mdx @@ -5,20 +5,18 @@ sidebarTitle: "ByteDanceSeedreamNodeV2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/en.md) - ## Overview This node generates or edits images using ByteDance's Seedream models (versions 4.0, 4.5, and 5.0 Lite). It can create new images from a text prompt or edit existing images by providing reference images, supporting resolutions up to 4K. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text prompt for creating or editing an image. | -| `model` | COMBO | Yes | `"seedream 5.0 lite"`
`"seedream-4-5-251128"`
`"seedream-4-0-250828"` | The Seedream model version to use for generation. Each model has different capabilities and pricing. | -| `seed` | INT | No | 0 to 2147483647 | Seed to use for generation (default: 0). | -| `watermark` | BOOLEAN | No | True / False | Whether to add an "AI generated" watermark to the image (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt for creating or editing an image. | STRING | Yes | N/A | +| `model` | The Seedream model version to use for generation. Each model has different capabilities and pricing. | COMBO | Yes | `"seedream 5.0 lite"`
`"seedream-4-5-251128"`
`"seedream-4-0-250828"` | +| `seed` | Seed to use for generation (default: 0). | INT | No | 0 to 2147483647 | +| `watermark` | Whether to add an "AI generated" watermark to the image (default: False). | BOOLEAN | No | True / False | ### Model-Specific Parameters @@ -45,9 +43,11 @@ When you select a model, additional parameters become available: ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The generated or edited image as a tensor. If multiple images were requested, they are concatenated into a single batch. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The generated or edited image as a tensor. If multiple images were requested, they are concatenated into a single batch. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/en.md) --- **Source fingerprint (SHA-256):** `6a98d2c1f1e73e304970115bc6dd3ea24ca3cdf440803eed862b7a1ea8d394ce` diff --git a/built-in-nodes/ByteDanceTextToVideoNode.mdx b/built-in-nodes/ByteDanceTextToVideoNode.mdx index ba4305051..36dcf5c79 100644 --- a/built-in-nodes/ByteDanceTextToVideoNode.mdx +++ b/built-in-nodes/ByteDanceTextToVideoNode.mdx @@ -5,23 +5,21 @@ sidebarTitle: "ByteDanceTextToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md) - The ByteDance Text to Video node generates videos using ByteDance models through an API based on text prompts. It takes a text description and various video settings as input, then creates a video that matches the provided specifications. The node handles the API communication and returns the generated video as output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | STRING | Yes | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-t2v-250428"`
`"seedance-1-0-pro-fast-251015"` | The ByteDance model to use for generation (default: `"seedance-1-0-pro-fast-251015"`). | -| `prompt` | STRING | Yes | - | The text prompt used to generate the video. | -| `resolution` | STRING | Yes | `"480p"`
`"720p"`
`"1080p"` | The resolution of the output video. | -| `aspect_ratio` | STRING | Yes | `"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | The aspect ratio of the output video. | -| `duration` | INT | Yes | 3 to 12 | The duration of the output video in seconds (default: 5). | -| `seed` | INT | No | 0 to 2147483647 | Seed to use for generation (default: 0). | -| `camera_fixed` | BOOLEAN | No | - | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect (default: False). | -| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the video (default: False). | -| `generate_audio` | BOOLEAN | No | - | This parameter is ignored for any model except `seedance-1-5-pro-251215` (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The ByteDance model to use for generation (default: `"seedance-1-0-pro-fast-251015"`). | STRING | Yes | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-t2v-250428"`
`"seedance-1-0-pro-fast-251015"` | +| `prompt` | The text prompt used to generate the video. | STRING | Yes | - | +| `resolution` | The resolution of the output video. | STRING | Yes | `"480p"`
`"720p"`
`"1080p"` | +| `aspect_ratio` | The aspect ratio of the output video. | STRING | Yes | `"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | +| `duration` | The duration of the output video in seconds (default: 5). | INT | Yes | 3 to 12 | +| `seed` | Seed to use for generation (default: 0). | INT | No | 0 to 2147483647 | +| `camera_fixed` | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect (default: False). | BOOLEAN | No | - | +| `watermark` | Whether to add an "AI generated" watermark to the video (default: False). | BOOLEAN | No | - | +| `generate_audio` | This parameter is ignored for any model except `seedance-1-5-pro-251215` (default: False). | BOOLEAN | No | - | **Parameter Constraints:** @@ -33,9 +31,11 @@ The ByteDance Text to Video node generates videos using ByteDance models through ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `a16c07e920a0e96e3e14eec33e5b4e3393e924970528365b326ef32887d64766` diff --git a/built-in-nodes/CFGGuider.mdx b/built-in-nodes/CFGGuider.mdx index 8a5ae3ffc..d086b86ac 100644 --- a/built-in-nodes/CFGGuider.mdx +++ b/built-in-nodes/CFGGuider.mdx @@ -5,24 +5,24 @@ sidebarTitle: "CFGGuider" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGGuider/en.md) - The CFGGuider node creates a guidance system for controlling the sampling process in image generation. It takes a model along with positive and negative conditioning inputs, then applies a classifier-free guidance scale to steer the generation toward desired content while avoiding unwanted elements. This node outputs a guider object that can be used by sampling nodes to control the image generation direction. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to be used for guidance | -| `positive` | CONDITIONING | Yes | - | The positive conditioning that guides the generation toward desired content | -| `negative` | CONDITIONING | Yes | - | The negative conditioning that steers the generation away from unwanted content | -| `cfg` | FLOAT | Yes | 0.0 to 100.0 | The classifier-free guidance scale that controls how strongly the conditioning influences the generation (default: 8.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to be used for guidance | MODEL | Yes | - | +| `positive` | The positive conditioning that guides the generation toward desired content | CONDITIONING | Yes | - | +| `negative` | The negative conditioning that steers the generation away from unwanted content | CONDITIONING | Yes | - | +| `cfg` | The classifier-free guidance scale that controls how strongly the conditioning influences the generation (default: 8.0) | FLOAT | Yes | 0.0 to 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `GUIDER` | GUIDER | A guider object that can be passed to sampling nodes to control the generation process | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `GUIDER` | A guider object that can be passed to sampling nodes to control the generation process | GUIDER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGGuider/en.md) --- **Source fingerprint (SHA-256):** `a723a359d0e0ac6ae83dc59d9eb459444b0c4a5361d54d54e22fb03ea34c16be` diff --git a/built-in-nodes/CFGNorm.mdx b/built-in-nodes/CFGNorm.mdx index 41cba557f..ee0f2a16d 100644 --- a/built-in-nodes/CFGNorm.mdx +++ b/built-in-nodes/CFGNorm.mdx @@ -5,22 +5,22 @@ sidebarTitle: "CFGNorm" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGNorm/en.md) - The CFGNorm node applies a normalization technique to the classifier-free guidance (CFG) process in diffusion models. It adjusts the scale of the denoised prediction by comparing the norms of the conditional and unconditional outputs, then applies a strength multiplier to control the effect. This helps stabilize the generation process by preventing extreme values in the guidance scaling. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model to apply CFG normalization to | -| `strength` | FLOAT | Yes | 0.0 to 100.0 | Controls the intensity of the normalization effect applied to the CFG scaling (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to apply CFG normalization to | MODEL | Yes | - | +| `strength` | Controls the intensity of the normalization effect applied to the CFG scaling (default: 1.0) | FLOAT | Yes | 0.0 to 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `patched_model` | MODEL | Returns the modified model with CFG normalization applied to its sampling process | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `patched_model` | Returns the modified model with CFG normalization applied to its sampling process | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGNorm/en.md) --- **Source fingerprint (SHA-256):** `adbcea5c02277a7bd93866eaae75fe150b5b310dbc6e0a3a31c4e4ee0f71e57c` diff --git a/built-in-nodes/CFGOverride.mdx b/built-in-nodes/CFGOverride.mdx new file mode 100644 index 000000000..6eddd872b --- /dev/null +++ b/built-in-nodes/CFGOverride.mdx @@ -0,0 +1,30 @@ +--- +title: "CFGOverride - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CFGOverride node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CFGOverride" +icon: "circle" +mode: wide +--- +# CFG Override + +The CFG Override node allows you to set a fixed CFG (Classifier-Free Guidance) scale value for a specific range of the sampling process, defined as a percentage of the total steps. When multiple CFG Override nodes are connected, the one closest to the sampler in the chain takes priority for overlapping ranges. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `model` | The model to apply the CFG override to | MODEL | Yes | | +| `cfg` | The fixed CFG scale value to use during the override range (default: 1.0) | FLOAT | Yes | 0.0 to 100.0 | +| `start_percent` | The starting point of the override range as a percentage of the sampling process (default: 0.0) | FLOAT | Yes | 0.0 to 1.0 | +| `end_percent` | The ending point of the override range as a percentage of the sampling process (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `MODEL` | The model with the CFG override wrapper applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGOverride/en.md) + +--- +**Source fingerprint (SHA-256):** `1fe57a4e78a2f18c4e7da49fa7a6c473d64dc0ebf6662535dfb5379c37936662` diff --git a/built-in-nodes/CFGZeroStar.mdx b/built-in-nodes/CFGZeroStar.mdx index efd2b2294..d11e26978 100644 --- a/built-in-nodes/CFGZeroStar.mdx +++ b/built-in-nodes/CFGZeroStar.mdx @@ -5,21 +5,21 @@ sidebarTitle: "CFGZeroStar" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGZeroStar/en.md) - The CFGZeroStar node applies a specialized guidance scaling technique to diffusion models. It modifies the classifier-free guidance process by calculating an optimized scale factor based on the difference between conditional and unconditional predictions. This approach adjusts the final output to provide enhanced control over the generation process while maintaining model stability. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model to be modified with the CFGZeroStar guidance scaling technique | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to be modified with the CFGZeroStar guidance scaling technique | MODEL | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `patched_model` | MODEL | The modified model with CFGZeroStar guidance scaling applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `patched_model` | The modified model with CFGZeroStar guidance scaling applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGZeroStar/en.md) --- **Source fingerprint (SHA-256):** `4ec70f67eed8aaca964ce3dfb5b650af2f44d34bcde3b74c3886c91e1e8e8cc0` diff --git a/built-in-nodes/CLIPAttentionMultiply.mdx b/built-in-nodes/CLIPAttentionMultiply.mdx index 8769eda22..c3e1ff2e1 100644 --- a/built-in-nodes/CLIPAttentionMultiply.mdx +++ b/built-in-nodes/CLIPAttentionMultiply.mdx @@ -5,25 +5,25 @@ sidebarTitle: "CLIPAttentionMultiply" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPAttentionMultiply/en.md) - The CLIPAttentionMultiply node allows you to adjust the attention mechanism in CLIP models by applying multiplication factors to different components of the self-attention layers. It works by modifying the query, key, value, and output projection weights and biases in the CLIP model's attention mechanism. This experimental node creates a modified copy of the input CLIP model with the specified scaling factors applied. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | The CLIP model to modify | -| `q` | FLOAT | Yes | 0.0 - 10.0 | Multiplication factor for query projection weights and biases (default: 1.0) | -| `k` | FLOAT | Yes | 0.0 - 10.0 | Multiplication factor for key projection weights and biases (default: 1.0) | -| `v` | FLOAT | Yes | 0.0 - 10.0 | Multiplication factor for value projection weights and biases (default: 1.0) | -| `out` | FLOAT | Yes | 0.0 - 10.0 | Multiplication factor for output projection weights and biases (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model to modify | CLIP | Yes | - | +| `q` | Multiplication factor for query projection weights and biases (default: 1.0) | FLOAT | Yes | 0.0 - 10.0 | +| `k` | Multiplication factor for key projection weights and biases (default: 1.0) | FLOAT | Yes | 0.0 - 10.0 | +| `v` | Multiplication factor for value projection weights and biases (default: 1.0) | FLOAT | Yes | 0.0 - 10.0 | +| `out` | Multiplication factor for output projection weights and biases (default: 1.0) | FLOAT | Yes | 0.0 - 10.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CLIP` | CLIP | Returns a modified CLIP model with the specified attention scaling factors applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CLIP` | Returns a modified CLIP model with the specified attention scaling factors applied | CLIP | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPAttentionMultiply/en.md) --- **Source fingerprint (SHA-256):** `1f5c437cb4a372dfd69ad3c10e2b8cfc68821e0fe82dcf37df5e6fd64aa0b436` diff --git a/built-in-nodes/CLIPMergeAdd.mdx b/built-in-nodes/CLIPMergeAdd.mdx index 1142a8772..b5dd2d353 100644 --- a/built-in-nodes/CLIPMergeAdd.mdx +++ b/built-in-nodes/CLIPMergeAdd.mdx @@ -5,22 +5,22 @@ sidebarTitle: "CLIPMergeAdd" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeAdd/en.md) - The CLIPMergeAdd node combines two CLIP models by adding patches from the second model to the first model. It creates a copy of the first CLIP model and selectively incorporates key patches from the second model, excluding position IDs and logit scale parameters. This allows you to merge CLIP model components while preserving the structure of the base model. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip1` | CLIP | Yes | - | The base CLIP model that will be cloned and used as the foundation for merging | -| `clip2` | CLIP | Yes | - | The secondary CLIP model that provides key patches to be added to the base model | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip1` | The base CLIP model that will be cloned and used as the foundation for merging | CLIP | Yes | - | +| `clip2` | The secondary CLIP model that provides key patches to be added to the base model | CLIP | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CLIP` | CLIP | A merged CLIP model containing the base model structure with added patches from the secondary model | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CLIP` | A merged CLIP model containing the base model structure with added patches from the secondary model | CLIP | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeAdd/en.md) --- **Source fingerprint (SHA-256):** `f212c2750f317ad51516a10a1a03a838b75bc878333381348d5eb388a2faf516` diff --git a/built-in-nodes/CLIPMergeSubtract.mdx b/built-in-nodes/CLIPMergeSubtract.mdx index 4ea80fef6..c177af62c 100644 --- a/built-in-nodes/CLIPMergeSubtract.mdx +++ b/built-in-nodes/CLIPMergeSubtract.mdx @@ -5,25 +5,25 @@ sidebarTitle: "CLIPMergeSubtract" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSubtract/en.md) - The CLIPMergeSubtract node performs model merging by subtracting the weights of one CLIP model from another. It creates a new CLIP model by cloning the first model and then subtracting the key patches from the second model, with an adjustable multiplier to control the subtraction strength. This allows for fine-tuned model blending by removing specific characteristics from the base model. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip1` | CLIP | Yes | - | The base CLIP model that will be cloned and modified | -| `clip2` | CLIP | Yes | - | The CLIP model whose key patches will be subtracted from the base model | -| `multiplier` | FLOAT | Yes | -10.0 to 10.0 | Controls the strength of the subtraction operation (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip1` | The base CLIP model that will be cloned and modified | CLIP | Yes | - | +| `clip2` | The CLIP model whose key patches will be subtracted from the base model | CLIP | Yes | - | +| `multiplier` | Controls the strength of the subtraction operation (default: 1.0) | FLOAT | Yes | -10.0 to 10.0 | **Note:** The node excludes `.position_ids` and `.logit_scale` parameters from the subtraction operation, regardless of the multiplier value. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `clip` | CLIP | The resulting CLIP model after subtracting the second model's weights from the first | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `clip` | The resulting CLIP model after subtracting the second model's weights from the first | CLIP | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSubtract/en.md) --- **Source fingerprint (SHA-256):** `3136cf509fcbfa291af8f820928a6cc14de7a586f953af0ada9bea949b437d86` diff --git a/built-in-nodes/CLIPTextEncodeControlnet.mdx b/built-in-nodes/CLIPTextEncodeControlnet.mdx index 87d9aaa60..1795bd01f 100644 --- a/built-in-nodes/CLIPTextEncodeControlnet.mdx +++ b/built-in-nodes/CLIPTextEncodeControlnet.mdx @@ -5,25 +5,25 @@ sidebarTitle: "CLIPTextEncodeControlnet" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeControlnet/en.md) - The CLIPTextEncodeControlnet node processes text input using a CLIP model and combines it with existing conditioning data to create enhanced conditioning output for controlnet applications. It tokenizes the input text, encodes it through the CLIP model, and adds the resulting embeddings to the provided conditioning data as cross-attention controlnet parameters. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | The CLIP model used for text tokenization and encoding | -| `conditioning` | CONDITIONING | Yes | - | Existing conditioning data to be enhanced with controlnet parameters | -| `text` | STRING | Yes | - | Text input to be processed by the CLIP model. Supports multiline text and dynamic prompts | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model used for text tokenization and encoding | CLIP | Yes | - | +| `conditioning` | Existing conditioning data to be enhanced with controlnet parameters | CONDITIONING | Yes | - | +| `text` | Text input to be processed by the CLIP model. Supports multiline text and dynamic prompts | STRING | Yes | - | **Note:** This node requires all three inputs (`clip`, `conditioning`, and `text`) to function properly. The `text` input supports dynamic prompts and multiline text for flexible text processing. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | Enhanced conditioning data with added controlnet cross-attention parameters (`cross_attn_controlnet` and `pooled_output_controlnet`) derived from the CLIP text encoding | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | Enhanced conditioning data with added controlnet cross-attention parameters (`cross_attn_controlnet` and `pooled_output_controlnet`) derived from the CLIP text encoding | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeControlnet/en.md) --- **Source fingerprint (SHA-256):** `36f0c9b7d3f3187bcf794c71e8a261d456972a41c079ddaca0cb5117912e9685` diff --git a/built-in-nodes/CLIPTextEncodeHiDream.mdx b/built-in-nodes/CLIPTextEncodeHiDream.mdx index 430d51c10..f33ef7d08 100644 --- a/built-in-nodes/CLIPTextEncodeHiDream.mdx +++ b/built-in-nodes/CLIPTextEncodeHiDream.mdx @@ -5,27 +5,27 @@ sidebarTitle: "CLIPTextEncodeHiDream" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/en.md) - The CLIPTextEncodeHiDream node processes four separate text inputs using different language models (CLIP-L, CLIP-G, T5-XXL, and LLaMA) and combines them into a single conditioning output. It tokenizes each text input with its corresponding model and encodes them together using a scheduled encoding approach, enabling more sophisticated text conditioning by leveraging multiple language models simultaneously. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | The CLIP model used for tokenization and encoding | -| `clip_l` | STRING | Yes | - | Text input for CLIP-L model processing. Supports multiline text and dynamic prompts. | -| `clip_g` | STRING | Yes | - | Text input for CLIP-G model processing. Supports multiline text and dynamic prompts. | -| `t5xxl` | STRING | Yes | - | Text input for T5-XXL model processing. Supports multiline text and dynamic prompts. | -| `llama` | STRING | Yes | - | Text input for LLaMA model processing. Supports multiline text and dynamic prompts. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model used for tokenization and encoding | CLIP | Yes | - | +| `clip_l` | Text input for CLIP-L model processing. Supports multiline text and dynamic prompts. | STRING | Yes | - | +| `clip_g` | Text input for CLIP-G model processing. Supports multiline text and dynamic prompts. | STRING | Yes | - | +| `t5xxl` | Text input for T5-XXL model processing. Supports multiline text and dynamic prompts. | STRING | Yes | - | +| `llama` | Text input for LLaMA model processing. Supports multiline text and dynamic prompts. | STRING | Yes | - | **Note:** All four text inputs (`clip_l`, `clip_g`, `t5xxl`, and `llama`) are required for proper functioning, as each contributes to the final conditioning output through the scheduled encoding process. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The combined conditioning output from all processed text inputs, encoded using the scheduled encoding method | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The combined conditioning output from all processed text inputs, encoded using the scheduled encoding method | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/en.md) --- **Source fingerprint (SHA-256):** `4d0febcfc7fa8035d817a6b36ec80b9bdf176ede8446b49f291efd96b9d1371c` diff --git a/built-in-nodes/CLIPTextEncodeKandinsky5.mdx b/built-in-nodes/CLIPTextEncodeKandinsky5.mdx index 89189cd4b..1041fcc3e 100644 --- a/built-in-nodes/CLIPTextEncodeKandinsky5.mdx +++ b/built-in-nodes/CLIPTextEncodeKandinsky5.mdx @@ -5,23 +5,23 @@ sidebarTitle: "CLIPTextEncodeKandinsky5" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeKandinsky5/en.md) - The CLIPTextEncodeKandinsky5 node prepares text prompts for use with the Kandinsky 5 model. It takes two separate text inputs, tokenizes them using a provided CLIP model, and combines them into a single conditioning output. This output is used to guide the image generation process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | | The CLIP model used to tokenize and encode the text prompts. | -| `clip_l` | STRING | Yes | | The primary text prompt. This input supports multiline text and dynamic prompts. | -| `qwen25_7b` | STRING | Yes | | A secondary text prompt. This input supports multiline text and dynamic prompts. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model used to tokenize and encode the text prompts. | CLIP | Yes | | +| `clip_l` | The primary text prompt. This input supports multiline text and dynamic prompts. | STRING | Yes | | +| `qwen25_7b` | A secondary text prompt. This input supports multiline text and dynamic prompts. | STRING | Yes | | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The combined conditioning data generated from both text prompts, ready to be fed into a Kandinsky 5 model for image generation. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The combined conditioning data generated from both text prompts, ready to be fed into a Kandinsky 5 model for image generation. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeKandinsky5/en.md) --- **Source fingerprint (SHA-256):** `f033b1924336ccb15d300eb713e859f9f08f48552b409c45b0a8a168d1ba51c2` diff --git a/built-in-nodes/CLIPTextEncodeLumina2.mdx b/built-in-nodes/CLIPTextEncodeLumina2.mdx index 563615121..b3ec19a5c 100644 --- a/built-in-nodes/CLIPTextEncodeLumina2.mdx +++ b/built-in-nodes/CLIPTextEncodeLumina2.mdx @@ -5,25 +5,25 @@ sidebarTitle: "CLIPTextEncodeLumina2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/en.md) - The CLIP Text Encode for Lumina2 node encodes a system prompt and a user prompt using a CLIP model into an embedding that can guide the diffusion model to generate specific images. It combines a pre-defined system prompt with your custom text prompt and processes them through the CLIP model to create conditioning data for image generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `system_prompt` | STRING | Yes | `"superior"`
`"alignment"` | Lumina2 provides two types of system prompts: "superior" generates images with superior image-text alignment; "alignment" generates high-quality images with the highest degree of image-text alignment. | -| `user_prompt` | STRING | Yes | N/A | The text to be encoded. Supports multiline input and dynamic prompts. | -| `clip` | CLIP | Yes | N/A | The CLIP model used for encoding the text. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `system_prompt` | Lumina2 provides two types of system prompts: "superior" generates images with superior image-text alignment; "alignment" generates high-quality images with the highest degree of image-text alignment. | STRING | Yes | `"superior"`
`"alignment"` | +| `user_prompt` | The text to be encoded. Supports multiline input and dynamic prompts. | STRING | Yes | N/A | +| `clip` | The CLIP model used for encoding the text. | CLIP | Yes | N/A | **Note:** The `clip` input is required and cannot be None. If the clip input is invalid, the node will raise an error indicating that the checkpoint may not contain a valid CLIP or text encoder model. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | A conditioning containing the embedded text used to guide the diffusion model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | A conditioning containing the embedded text used to guide the diffusion model. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/en.md) --- **Source fingerprint (SHA-256):** `e9d5f685a666a4f0737739e56afa3eb854a4abcbd8a76480c7a050cd503b53b2` diff --git a/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx b/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx index 3f5040c60..85a8c3d58 100644 --- a/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx +++ b/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx @@ -5,24 +5,24 @@ sidebarTitle: "CLIPTextEncodePixArtAlpha" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/en.md) - Encodes text and sets the resolution conditioning for PixArt Alpha. This node processes text input and adds width and height information to create conditioning data specifically for PixArt Alpha models. It does not apply to PixArt Sigma models. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | 0 to MAX_RESOLUTION | The width dimension for resolution conditioning (default: 1024) | -| `height` | INT | Yes | 0 to MAX_RESOLUTION | The height dimension for resolution conditioning (default: 1024) | -| `text` | STRING | Yes | - | Text input to be encoded, supports multiline input and dynamic prompts | -| `clip` | CLIP | Yes | - | CLIP model used for tokenization and encoding | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width dimension for resolution conditioning (default: 1024) | INT | Yes | 0 to MAX_RESOLUTION | +| `height` | The height dimension for resolution conditioning (default: 1024) | INT | Yes | 0 to MAX_RESOLUTION | +| `text` | Text input to be encoded, supports multiline input and dynamic prompts | STRING | Yes | - | +| `clip` | CLIP model used for tokenization and encoding | CLIP | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | Encoded conditioning data with text tokens and resolution information | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | Encoded conditioning data with text tokens and resolution information | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/en.md) --- **Source fingerprint (SHA-256):** `d2ed9de57b9b9579162687e1ffaf859e18a0585bbe75888496a42772337b6746` diff --git a/built-in-nodes/CLIPTextEncodeSD3.mdx b/built-in-nodes/CLIPTextEncodeSD3.mdx index cc8eddf4e..da18c0db7 100644 --- a/built-in-nodes/CLIPTextEncodeSD3.mdx +++ b/built-in-nodes/CLIPTextEncodeSD3.mdx @@ -5,19 +5,17 @@ sidebarTitle: "CLIPTextEncodeSD3" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSD3/en.md) - The CLIPTextEncodeSD3 node processes text inputs for Stable Diffusion 3 models by encoding multiple text prompts using different CLIP models. It handles three separate text inputs (clip_g, clip_l, and t5xxl) and provides options for managing empty text padding. The node ensures proper token alignment between different text inputs and returns conditioning data suitable for SD3 generation pipelines. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | The CLIP model used for text encoding | -| `clip_l` | STRING | Yes | - | Text input for the local CLIP model. Supports multiline text and dynamic prompts. | -| `clip_g` | STRING | Yes | - | Text input for the global CLIP model. Supports multiline text and dynamic prompts. | -| `t5xxl` | STRING | Yes | - | Text input for the T5-XXL model. Supports multiline text and dynamic prompts. | -| `empty_padding` | COMBO | Yes | `"none"`
`"empty_prompt"` | Controls how empty text inputs are handled. When set to "none", empty text inputs for `clip_g`, `clip_l`, or `t5xxl` will result in empty token lists instead of padding. This is an advanced parameter (default: "none"). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model used for text encoding | CLIP | Yes | - | +| `clip_l` | Text input for the local CLIP model. Supports multiline text and dynamic prompts. | STRING | Yes | - | +| `clip_g` | Text input for the global CLIP model. Supports multiline text and dynamic prompts. | STRING | Yes | - | +| `t5xxl` | Text input for the T5-XXL model. Supports multiline text and dynamic prompts. | STRING | Yes | - | +| `empty_padding` | Controls how empty text inputs are handled. When set to "none", empty text inputs for `clip_g`, `clip_l`, or `t5xxl` will result in empty token lists instead of padding. This is an advanced parameter (default: "none"). | COMBO | Yes | `"none"`
`"empty_prompt"` | **Parameter Constraints:** @@ -27,9 +25,11 @@ The CLIPTextEncodeSD3 node processes text inputs for Stable Diffusion 3 models b ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The encoded text conditioning data ready for use in SD3 generation pipelines | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The encoded text conditioning data ready for use in SD3 generation pipelines | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSD3/en.md) --- **Source fingerprint (SHA-256):** `2086e7c0fe910a94c04173ecfe35a2e04ecb306526b9089c527bb874e97b20c4` diff --git a/built-in-nodes/Canny.mdx b/built-in-nodes/Canny.mdx index 6fcf9877f..5ce44fbd0 100755 --- a/built-in-nodes/Canny.mdx +++ b/built-in-nodes/Canny.mdx @@ -21,17 +21,17 @@ The final output is a black and white image, where white parts are detected edge ## Inputs -| Parameter Name | Data Type | Input Type | Default | Range | Function Description | -|------------------|-----------|------------|---------|-----------|----------------------| -| `image` | IMAGE | Input | - | - | Original photo that needs edge extraction | -| `low_threshold` | FLOAT | Widget | 0.4 | 0.01-0.99 | Low threshold, determines how weak edges to ignore. Lower values preserve more details but may produce noise | -| `high_threshold` | FLOAT | Widget | 0.8 | 0.01-0.99 | High threshold, determines how strong edges to preserve. Higher values only keep the most obvious contour lines | +| Parameter Name | Function Description | Data Type | Input Type | Default | Range | +| --- | --- | --- | --- | --- | --- | +| `image` | Original photo that needs edge extraction | IMAGE | Input | - | - | +| `low_threshold` | Low threshold, determines how weak edges to ignore. Lower values preserve more details but may produce noise | FLOAT | Widget | 0.4 | 0.01-0.99 | +| `high_threshold` | High threshold, determines how strong edges to preserve. Higher values only keep the most obvious contour lines | FLOAT | Widget | 0.8 | 0.01-0.99 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | Black and white edge image, white lines are detected edges, black areas are parts without edges | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | Black and white edge image, white lines are detected edges, black areas are parts without edges | IMAGE | ## Parameter Comparison @@ -45,3 +45,5 @@ The final output is a black and white image, where white parts are detected edge - Too much noise: Raise low threshold - Missing important details: Lower low threshold - Edges too rough: Check input image quality and resolution + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Canny/en.md) diff --git a/built-in-nodes/CaseConverter.mdx b/built-in-nodes/CaseConverter.mdx index 9352e5934..e0eb106dc 100644 --- a/built-in-nodes/CaseConverter.mdx +++ b/built-in-nodes/CaseConverter.mdx @@ -5,22 +5,22 @@ sidebarTitle: "CaseConverter" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CaseConverter/en.md) - The Case Converter node transforms text strings into different letter case formats. It takes an input string and converts it based on the selected mode, producing an output string with the specified case formatting applied. The node supports four different case conversion options to modify the capitalization of your text. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | Yes | - | The text string to be converted to a different case format | -| `mode` | STRING | Yes | `"UPPERCASE"`
`"lowercase"`
`"Capitalize"`
`"Title Case"` | The case conversion mode to apply (default: `"UPPERCASE"`) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `string` | The text string to be converted to a different case format | STRING | Yes | - | +| `mode` | The case conversion mode to apply (default: `"UPPERCASE"`) | STRING | Yes | `"UPPERCASE"`
`"lowercase"`
`"Capitalize"`
`"Title Case"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The input string converted to the specified case format | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The input string converted to the specified case format | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CaseConverter/en.md) --- **Source fingerprint (SHA-256):** `6cc933ec8a245ff454195b699ab7d72d2a014ec9a6e920a8c875acf7eb77e01a` diff --git a/built-in-nodes/CenterCropImages.mdx b/built-in-nodes/CenterCropImages.mdx index 2ffa86a90..8f25c1955 100644 --- a/built-in-nodes/CenterCropImages.mdx +++ b/built-in-nodes/CenterCropImages.mdx @@ -5,23 +5,23 @@ sidebarTitle: "CenterCropImages" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CenterCropImages/en.md) - The Center Crop Images node crops an image from its center to a specified width and height. It calculates the central region of the input image and extracts a rectangular area of the defined dimensions. If the requested crop size is larger than the image, the crop will be constrained to the image's boundaries. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be cropped. | -| `width` | INT | Yes | 1 to 8192 | The width of the crop area (default: 512). | -| `height` | INT | Yes | 1 to 8192 | The height of the crop area (default: 512). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be cropped. | IMAGE | Yes | - | +| `width` | The width of the crop area (default: 512). | INT | Yes | 1 to 8192 | +| `height` | The height of the crop area (default: 512). | INT | Yes | 1 to 8192 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The resulting image after the center crop operation. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The resulting image after the center crop operation. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CenterCropImages/en.md) --- **Source fingerprint (SHA-256):** `1b22529602e3aca816b583158c4bb5aa51de3478ac8068c2a69a3392fb12746f` diff --git a/built-in-nodes/CheckpointLoader.mdx b/built-in-nodes/CheckpointLoader.mdx index c81497598..32b325706 100644 --- a/built-in-nodes/CheckpointLoader.mdx +++ b/built-in-nodes/CheckpointLoader.mdx @@ -5,28 +5,28 @@ sidebarTitle: "CheckpointLoader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoader/en.md) - The CheckpointLoader node loads a pre-trained model checkpoint along with its configuration file. It takes a configuration file and a checkpoint file as inputs and returns the loaded model components including the main model, CLIP model, and VAE model for use in the workflow. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `config_name` | STRING | Yes | Available config files | The configuration file that defines the model architecture and settings | -| `ckpt_name` | STRING | Yes | Available checkpoint files | The checkpoint file containing the trained model weights and parameters | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `config_name` | The configuration file that defines the model architecture and settings | STRING | Yes | Available config files | +| `ckpt_name` | The checkpoint file containing the trained model weights and parameters | STRING | Yes | Available checkpoint files | **Note:** This node requires both a configuration file and a checkpoint file to be selected. The configuration file must match the architecture of the checkpoint file being loaded. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MODEL` | MODEL | The loaded main model component ready for inference | -| `CLIP` | CLIP | The loaded CLIP model component for text encoding | -| `VAE` | VAE | The loaded VAE model component for image encoding and decoding | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MODEL` | The loaded main model component ready for inference | MODEL | +| `CLIP` | The loaded CLIP model component for text encoding | CLIP | +| `VAE` | The loaded VAE model component for image encoding and decoding | VAE | **Important Note:** This node has been marked as deprecated and may be removed in future versions. Consider using alternative loading nodes for new workflows. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoader/en.md) + --- **Source fingerprint (SHA-256):** `9977bda5e124a9d10566839cbee868c74fab120c454141f27ce145efa60105e9` diff --git a/built-in-nodes/CheckpointLoaderSimple.mdx b/built-in-nodes/CheckpointLoaderSimple.mdx index ea06c079e..a9efcfd93 100755 --- a/built-in-nodes/CheckpointLoaderSimple.mdx +++ b/built-in-nodes/CheckpointLoaderSimple.mdx @@ -5,27 +5,27 @@ sidebarTitle: "CheckpointLoaderSimple" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoaderSimple/en.md) - ## Overview Loads a diffusion model checkpoint file and decomposes it into three core components: the main model used for denoising latents, the CLIP text encoder, and the VAE image encoder/decoder. This node automatically detects all model files in the `ComfyUI/models/checkpoints` folder and any additional paths configured in your `extra_model_paths.yaml` file. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `ckpt_name` | STRING | Yes | All model files in the checkpoints folder | The name of the checkpoint (model) to load. Select the checkpoint model file name, which determines the AI model used for subsequent image generation. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `ckpt_name` | The name of the checkpoint (model) to load. Select the checkpoint model file name, which determines the AI model used for subsequent image generation. | STRING | Yes | All model files in the checkpoints folder | **Note:** If new model files are added while ComfyUI is running, you need to refresh the browser (Ctrl+R) to see the new files in the dropdown list. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MODEL` | MODEL | The model used for denoising latents. This is the core diffusion model used for image generation. | -| `CLIP` | CLIP | The CLIP model used for encoding text prompts, converting text descriptions into information that AI can understand. | -| `VAE` | VAE | The VAE model used for encoding and decoding images to and from latent space. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MODEL` | The model used for denoising latents. This is the core diffusion model used for image generation. | MODEL | +| `CLIP` | The CLIP model used for encoding text prompts, converting text descriptions into information that AI can understand. | CLIP | +| `VAE` | The VAE model used for encoding and decoding images to and from latent space. | VAE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoaderSimple/en.md) --- **Source fingerprint (SHA-256):** `2fd8866ae659f8080f46c16d3a9864fa563d2090815d897ea2f42ba8d66d9b39` diff --git a/built-in-nodes/CheckpointSave.mdx b/built-in-nodes/CheckpointSave.mdx index 8252921a8..6b794a9c5 100755 --- a/built-in-nodes/CheckpointSave.mdx +++ b/built-in-nodes/CheckpointSave.mdx @@ -11,12 +11,12 @@ The Save Checkpoint is primarily used in model merging workflows. After creating ## Inputs -| Parameter | Data Type | Description | -|-----------|-----------|-------------| -| `model` | MODEL | The model parameter represents the primary model whose state is to be saved. It is essential for capturing the current state of the model for future restoration or analysis. | -| `clip` | CLIP | The clip parameter is intended for the CLIP model associated with the primary model, allowing its state to be saved alongside the main model. | -| `vae` | VAE | The vae parameter is for the Variational Autoencoder (VAE) model, enabling its state to be saved for future use or analysis alongside the main model and CLIP. | -| `filename_prefix` | STRING | This parameter specifies the prefix for the filename under which the checkpoint will be saved. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | The model parameter represents the primary model whose state is to be saved. It is essential for capturing the current state of the model for future restoration or analysis. | MODEL | +| `clip` | The clip parameter is intended for the CLIP model associated with the primary model, allowing its state to be saved alongside the main model. | CLIP | +| `vae` | The vae parameter is for the Variational Autoencoder (VAE) model, enabling its state to be saved for future use or analysis alongside the main model and CLIP. | VAE | +| `filename_prefix` | This parameter specifies the prefix for the filename under which the checkpoint will be saved. | STRING | Additionally, the node has two hidden inputs for metadata: @@ -35,3 +35,5 @@ This node will output a checkpoint file, and the corresponding output file path ## Related Links Related source code: [nodes_model_merging.py#L227](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_model_merging.py#L227) + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointSave/en.md) diff --git a/built-in-nodes/ChromaRadianceOptions.mdx b/built-in-nodes/ChromaRadianceOptions.mdx index 04cb042bc..572230ee5 100644 --- a/built-in-nodes/ChromaRadianceOptions.mdx +++ b/built-in-nodes/ChromaRadianceOptions.mdx @@ -5,27 +5,27 @@ sidebarTitle: "ChromaRadianceOptions" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ChromaRadianceOptions/en.md) - The ChromaRadianceOptions node allows you to configure advanced settings for the Chroma Radiance model. It wraps an existing model and applies specific options during the denoising process based on sigma values, enabling fine-tuned control over NeRF tile size and other radiance-related parameters. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply Chroma Radiance options to | -| `preserve_wrapper` | BOOLEAN | No | - | When enabled, will delegate to an existing model function wrapper if it exists. Generally should be left enabled. (default: True) | -| `start_sigma` | FLOAT | No | 0.0 to 1.0 | First sigma that these options will be in effect. (default: 1.0) | -| `end_sigma` | FLOAT | No | 0.0 to 1.0 | Last sigma that these options will be in effect. (default: 0.0) | -| `nerf_tile_size` | INT | No | -1 and above | Allows overriding the default NeRF tile size. -1 means use the default (32). 0 means use non-tiling mode (may require a lot of VRAM). (default: -1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply Chroma Radiance options to | MODEL | Yes | - | +| `preserve_wrapper` | When enabled, will delegate to an existing model function wrapper if it exists. Generally should be left enabled. (default: True) | BOOLEAN | No | - | +| `start_sigma` | First sigma that these options will be in effect. (default: 1.0) | FLOAT | No | 0.0 to 1.0 | +| `end_sigma` | Last sigma that these options will be in effect. (default: 0.0) | FLOAT | No | 0.0 to 1.0 | +| `nerf_tile_size` | Allows overriding the default NeRF tile size. -1 means use the default (32). 0 means use non-tiling mode (may require a lot of VRAM). (default: -1) | INT | No | -1 and above | **Note:** The Chroma Radiance options only take effect when the current sigma value falls between `end_sigma` and `start_sigma` (inclusive). The `nerf_tile_size` parameter is only applied when set to 0 or higher values. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with Chroma Radiance options applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with Chroma Radiance options applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ChromaRadianceOptions/en.md) --- **Source fingerprint (SHA-256):** `34e17791e3675c59b4a15b007e853eedcfa0cbbb975fb2f5e71d1115eb2b8781` diff --git a/built-in-nodes/ClaudeNode.mdx b/built-in-nodes/ClaudeNode.mdx index aba52b75e..5244258f7 100644 --- a/built-in-nodes/ClaudeNode.mdx +++ b/built-in-nodes/ClaudeNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "ClaudeNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/en.md) - ## Overview Generate text responses from an Anthropic Claude model. This node sends a text prompt and optional images to a Claude model and returns the generated text response. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text input to the model. (default: empty string) | -| `model` | COMBO | Yes | `"Opus 4.7"`
`"Opus 4.6"`
`"Sonnet 4.6"`
`"Sonnet 4.5"`
`"Haiku 4.5"` | The Claude model used to generate the response. | -| `seed` | INT | Yes | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | -| `images` | IMAGE | No | 0 to 20 images | Optional image(s) to use as context for the model. Up to 20 images. | -| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate the model's behavior. (default: empty string) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text input to the model. (default: empty string) | STRING | Yes | N/A | +| `model` | The Claude model used to generate the response. | COMBO | Yes | `"Opus 4.7"`
`"Opus 4.6"`
`"Sonnet 4.6"`
`"Sonnet 4.5"`
`"Haiku 4.5"` | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | Yes | 0 to 2147483647 | +| `images` | Optional image(s) to use as context for the model. Up to 20 images. | IMAGE | No | 0 to 20 images | +| `system_prompt` | Foundational instructions that dictate the model's behavior. (default: empty string) | STRING | No | N/A | ### Parameter Constraints @@ -29,9 +27,11 @@ Generate text responses from an Anthropic Claude model. This node sends a text p ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The generated text response from the Claude model. Returns "Empty response from Claude model." if no text is generated. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated text response from the Claude model. Returns "Empty response from Claude model." if no text is generated. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/en.md) --- **Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382` diff --git a/built-in-nodes/ClipLoader.mdx b/built-in-nodes/ClipLoader.mdx index b412a49a0..bd923ec13 100755 --- a/built-in-nodes/ClipLoader.mdx +++ b/built-in-nodes/ClipLoader.mdx @@ -5,17 +5,15 @@ sidebarTitle: "CLIPLoader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPLoader/en.md) - The CLIPLoader node loads a text encoder model (CLIP, T5, or similar) from a file, making it available for use in other nodes that need to convert text prompts into numerical representations. It supports a wide variety of model architectures, each requiring a specific encoder type. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip_name` | STRING | Yes | List of files found in the `text_encoders` folder | The filename of the text encoder model to load. This must be a file located in the `ComfyUI/models/text_encoders/` or `ComfyUI/models/clip/` directory. | -| `type` | STRING | Yes | `"stable_diffusion"`
`"stable_cascade"`
`"sd3"`
`"stable_audio"`
`"mochi"`
`"ltxv"`
`"pixart"`
`"cosmos"`
`"lumina2"`
`"wan"`
`"hidream"`
`"chroma"`
`"ace"`
`"omnigen2"`
`"qwen_image"`
`"hunyuan_image"`
`"flux2"`
`"ovis"`
`"longcat_image"`
`"cogvideox"` | The architecture type of the model being loaded. This determines which specific encoder variant to use. The default is `"stable_diffusion"`. | -| `device` | STRING | No | `"default"`
`"cpu"` | The device to load the model onto. `"default"` uses the GPU if available, while `"cpu"` forces CPU loading. This is an advanced option (default: `"default"`). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip_name` | The filename of the text encoder model to load. This must be a file located in the `ComfyUI/models/text_encoders/` or `ComfyUI/models/clip/` directory. | STRING | Yes | List of files found in the `text_encoders` folder | +| `type` | The architecture type of the model being loaded. This determines which specific encoder variant to use. The default is `"stable_diffusion"`. | STRING | Yes | `"stable_diffusion"`
`"stable_cascade"`
`"sd3"`
`"stable_audio"`
`"mochi"`
`"ltxv"`
`"pixart"`
`"cosmos"`
`"lumina2"`
`"wan"`
`"hidream"`
`"chroma"`
`"ace"`
`"omnigen2"`
`"qwen_image"`
`"hunyuan_image"`
`"flux2"`
`"ovis"`
`"longcat_image"`
`"cogvideox"` | +| `device` | The device to load the model onto. `"default"` uses the GPU if available, while `"cpu"` forces CPU loading. This is an advanced option (default: `"default"`). | STRING | No | `"default"`
`"cpu"` | ### Supported Type-to-Encoder Mappings @@ -37,9 +35,11 @@ The `type` parameter selects the correct encoder for a given model architecture. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `clip` | CLIP | The loaded text encoder model, ready to be connected to other nodes for text encoding and conditioning. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `clip` | The loaded text encoder model, ready to be connected to other nodes for text encoding and conditioning. | CLIP | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPLoader/en.md) --- **Source fingerprint (SHA-256):** `1051bfe5570dff81719682cb09938bae4c03e94e0e72f7a2be84867cccb48017` diff --git a/built-in-nodes/ClipMergeSimple.mdx b/built-in-nodes/ClipMergeSimple.mdx index 5517307fd..076964c4c 100755 --- a/built-in-nodes/ClipMergeSimple.mdx +++ b/built-in-nodes/ClipMergeSimple.mdx @@ -5,25 +5,23 @@ sidebarTitle: "CLIPMergeSimple" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSimple/en.md) - `CLIPMergeSimple` is an advanced model merging node used to combine two CLIP text encoder models based on a specified ratio. This node specializes in merging two CLIP models based on a specified ratio, effectively blending their characteristics. It selectively applies patches from one model to another, excluding specific components like position IDs and logit scale, to create a hybrid model that combines features from both source models. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `clip1` | CLIP | REQUIRED | - | - | The first CLIP model to be merged. It serves as the base model for the merging process. | -| `clip2` | CLIP | REQUIRED | - | - | The second CLIP model to be merged. Its key patches, except for position IDs and logit scale, are applied to the first model based on the specified ratio. | -| `ratio` | FLOAT | REQUIRED | 1.0 | 0.0 - 1.0 (step: 0.01) | Determines the proportion of features from the second model to blend into the first model. A ratio of 1.0 means fully adopting the second model's features, while 0.0 retains only the first model's features. | +| Parameter | Description | Data Type | Input Type | Default | Range | +| --- | --- | --- | --- | --- | --- | +| `clip1` | The first CLIP model to be merged. It serves as the base model for the merging process. | CLIP | REQUIRED | - | - | +| `clip2` | The second CLIP model to be merged. Its key patches, except for position IDs and logit scale, are applied to the first model based on the specified ratio. | CLIP | REQUIRED | - | - | +| `ratio` | Determines the proportion of features from the second model to blend into the first model. A ratio of 1.0 means fully adopting the second model's features, while 0.0 retains only the first model's features. | FLOAT | REQUIRED | 1.0 | 0.0 - 1.0 (step: 0.01) | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `clip` | CLIP | The resulting merged CLIP model, incorporating features from both input models according to the specified ratio. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `clip` | The resulting merged CLIP model, incorporating features from both input models according to the specified ratio. | CLIP | ## Merging Mechanism Explained @@ -48,5 +46,7 @@ The node uses weighted averaging to merge the two models: 2. **Performance Optimization**: Balance strengths and weaknesses of different models 3. **Experimental Research**: Explore combinations of different CLIP encoders +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSimple/en.md) + --- **Source fingerprint (SHA-256):** `0d3c8388dbe88675ea7fb51161ab41ce898bcf63983b3d2817b16ec5bfa613e5` diff --git a/built-in-nodes/ClipSave.mdx b/built-in-nodes/ClipSave.mdx index 096ea199b..883f7ca34 100755 --- a/built-in-nodes/ClipSave.mdx +++ b/built-in-nodes/ClipSave.mdx @@ -5,18 +5,16 @@ sidebarTitle: "CLIPSave" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSave/en.md) - The `CLIPSave` node saves a CLIP text encoder model to disk in SafeTensors format. It is designed for advanced model merging workflows and automatically separates the CLIP model into its component parts (such as CLIP-L, CLIP-G, or T5XXL) based on the model's internal structure, saving each component as a separate file. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | The CLIP model to be saved. | -| `filename_prefix` | STRING | Yes | - | The prefix path and filename for the saved file(s). The node will append a component suffix (e.g., `_clip_l`, `_clip_g`) and a counter to create unique filenames (default: `clip/ComfyUI`). | -| `prompt` | PROMPT | No | - | The workflow prompt information, saved as metadata in the output file. This parameter is hidden in the UI. | -| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Additional metadata, saved as key-value pairs in the output file. This parameter is hidden in the UI. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model to be saved. | CLIP | Yes | - | +| `filename_prefix` | The prefix path and filename for the saved file(s). The node will append a component suffix (e.g., `_clip_l`, `_clip_g`) and a counter to create unique filenames (default: `clip/ComfyUI`). | STRING | Yes | - | +| `prompt` | The workflow prompt information, saved as metadata in the output file. This parameter is hidden in the UI. | PROMPT | No | - | +| `extra_pnginfo` | Additional metadata, saved as key-value pairs in the output file. This parameter is hidden in the UI. | EXTRA_PNGINFO | No | - | ## Outputs @@ -41,5 +39,7 @@ The node analyzes the CLIP model's state dictionary and saves separate SafeTenso For each detected component, the node creates a file with the name `{filename_prefix}_{counter:05}_.safetensors`, where the component prefix is appended to the filename prefix (e.g., `clip/ComfyUI_clip_l_00001_.safetensors`). The `transformer.` prefix is removed from parameter keys during saving. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSave/en.md) + --- **Source fingerprint (SHA-256):** `65a5856b0cbf8765b380887741d52af8ad50d2d5d36145c994a8cbf93ebc9807` diff --git a/built-in-nodes/ClipSetLastLayer.mdx b/built-in-nodes/ClipSetLastLayer.mdx index 547f1e3df..14835eead 100755 --- a/built-in-nodes/ClipSetLastLayer.mdx +++ b/built-in-nodes/ClipSetLastLayer.mdx @@ -5,8 +5,6 @@ sidebarTitle: "CLIPSetLastLayer" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSetLastLayer/en.md) - `CLIP Set Last Layer` is a core node in ComfyUI for controlling the processing depth of CLIP models. It allows users to precisely control where the CLIP text encoder stops processing, affecting both the depth of text understanding and the style of generated images. Imagine the CLIP model as a 24-layer intelligent brain: @@ -24,16 +22,16 @@ Imagine the CLIP model as a 24-layer intelligent brain: ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | The CLIP model to be modified | -| `stop_at_clip_layer` | INT | Yes | -24 to -1 | Specifies which layer to stop at. A value of -1 uses all layers, while -24 uses only the first layer (default: -1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model to be modified | CLIP | Yes | - | +| `stop_at_clip_layer` | Specifies which layer to stop at. A value of -1 uses all layers, while -24 uses only the first layer (default: -1) | INT | Yes | -24 to -1 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `clip` | CLIP | The modified CLIP model with the specified layer set as the last one | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `clip` | The modified CLIP model with the specified layer set as the last one | CLIP | ## Why Set the Last Layer @@ -41,5 +39,7 @@ Imagine the CLIP model as a 24-layer intelligent brain: - **Style Control**: Different levels of understanding produce different artistic styles - **Compatibility**: Some models might perform better at specific layers +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSetLastLayer/en.md) + --- **Source fingerprint (SHA-256):** `82f3e7fb1d4c0bdd2b242a449085a5497ba8af8616d1800c5c0ee7a85ab42c15` diff --git a/built-in-nodes/ClipTextEncode.mdx b/built-in-nodes/ClipTextEncode.mdx index 8e63acafd..939254c63 100755 --- a/built-in-nodes/ClipTextEncode.mdx +++ b/built-in-nodes/ClipTextEncode.mdx @@ -5,24 +5,22 @@ sidebarTitle: "CLIPTextEncode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncode/en.md) - `CLIP Text Encode (CLIPTextEncode)` acts as a translator, converting your text descriptions into a format that AI can understand. This helps the AI interpret your input and generate the desired image. Think of it as communicating with an artist who speaks a different language. The CLIP model, trained on vast image-text pairs, bridges this gap by converting your descriptions into "instructions" that the AI model can follow. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | Yes | Any text | The text to be encoded. Supports multi-line input and dynamic prompts. | -| `clip` | CLIP | Yes | Loaded CLIP models | The CLIP model used for encoding the text. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `text` | The text to be encoded. Supports multi-line input and dynamic prompts. | STRING | Yes | Any text | +| `clip` | The CLIP model used for encoding the text. | CLIP | Yes | Loaded CLIP models | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | A conditioning containing the embedded text used to guide the diffusion model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | A conditioning containing the embedded text used to guide the diffusion model. | CONDITIONING | ## Prompt Features @@ -59,5 +57,8 @@ Use `{}` to create dynamic prompts. For example, `{day|night|morning}` will rand If you want to include literal curly braces in your prompt without triggering dynamic behavior, you can escape them using a backslash e.g. `\{word\}`. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncode/en.md) + +--- **Source fingerprint (SHA-256):** `e8f286cdec879c529270e110ccf5959ed6df77737cfb5a8019379afac9266118` diff --git a/built-in-nodes/ClipTextEncodeFlux.mdx b/built-in-nodes/ClipTextEncodeFlux.mdx index 23181ac46..60a4b5dd5 100644 --- a/built-in-nodes/ClipTextEncodeFlux.mdx +++ b/built-in-nodes/ClipTextEncodeFlux.mdx @@ -5,24 +5,24 @@ sidebarTitle: "CLIPTextEncodeFlux" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeFlux/en.md) - `CLIPTextEncodeFlux` is an advanced text encoding node designed for the Flux architecture. It processes two separate text inputs through different encoders—CLIP-L and T5XXL—and combines them with a guidance scale to produce a unified conditioning output for image generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | A CLIP model that supports the Flux architecture, including both CLIP-L and T5XXL encoders. | -| `clip_l` | STRING | Yes | - | Text input processed by the CLIP-L encoder. Suitable for concise keyword descriptions, such as style or theme. Supports multiline input and dynamic prompts. | -| `t5xxl` | STRING | Yes | - | Text input processed by the T5XXL encoder. Suitable for detailed natural language descriptions, expressing complex scenes and details. Supports multiline input and dynamic prompts. | -| `guidance` | FLOAT | Yes | 0.0 - 100.0 | Controls the influence of text conditions on the generation process. Higher values mean stricter adherence to the text. Default: 3.5. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | A CLIP model that supports the Flux architecture, including both CLIP-L and T5XXL encoders. | CLIP | Yes | - | +| `clip_l` | Text input processed by the CLIP-L encoder. Suitable for concise keyword descriptions, such as style or theme. Supports multiline input and dynamic prompts. | STRING | Yes | - | +| `t5xxl` | Text input processed by the T5XXL encoder. Suitable for detailed natural language descriptions, expressing complex scenes and details. Supports multiline input and dynamic prompts. | STRING | Yes | - | +| `guidance` | Controls the influence of text conditions on the generation process. Higher values mean stricter adherence to the text. Default: 3.5. | FLOAT | Yes | 0.0 - 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | Contains the fused embeddings from both encoders and the guidance parameter, used for conditional image generation. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | Contains the fused embeddings from both encoders and the guidance parameter, used for conditional image generation. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeFlux/en.md) --- **Source fingerprint (SHA-256):** `63027b4a7c1868da27fb2644b0d6599d241fa0206a78d169110ce57f0cebf148` diff --git a/built-in-nodes/ClipTextEncodeHunyuanDit.mdx b/built-in-nodes/ClipTextEncodeHunyuanDit.mdx index 12ed726d0..faf707230 100644 --- a/built-in-nodes/ClipTextEncodeHunyuanDit.mdx +++ b/built-in-nodes/ClipTextEncodeHunyuanDit.mdx @@ -5,23 +5,23 @@ sidebarTitle: "CLIPTextEncodeHunyuanDiT" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHunyuanDiT/en.md) - The `CLIPTextEncodeHunyuanDiT` node converts text descriptions into a format that the HunyuanDiT model can understand. It is an advanced conditioning node designed for the dual text encoder architecture of HunyuanDiT, processing two separate text inputs through different tokenizers. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | A CLIP model instance used for text tokenization and encoding, which is core to generating conditions. | -| `bert` | STRING | Yes | - | Text input for encoding via the BERT tokenizer. Prefers phrases and keywords. Supports multiline and dynamic prompts. | -| `mt5xl` | STRING | Yes | - | Text input for encoding via the mT5-XL tokenizer. Supports multiline and dynamic prompts (multilingual). Can use complete sentences and complex descriptions. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | A CLIP model instance used for text tokenization and encoding, which is core to generating conditions. | CLIP | Yes | - | +| `bert` | Text input for encoding via the BERT tokenizer. Prefers phrases and keywords. Supports multiline and dynamic prompts. | STRING | Yes | - | +| `mt5xl` | Text input for encoding via the mT5-XL tokenizer. Supports multiline and dynamic prompts (multilingual). Can use complete sentences and complex descriptions. | STRING | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The encoded conditioning output, combining both BERT and mT5-XL tokenized text, used for further processing in generation tasks. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The encoded conditioning output, combining both BERT and mT5-XL tokenized text, used for further processing in generation tasks. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHunyuanDiT/en.md) --- **Source fingerprint (SHA-256):** `bde7c884f72829491090965bd9af34ad59ec326f96e88bb7cdb9ddc47592137e` diff --git a/built-in-nodes/ClipTextEncodeSdxl.mdx b/built-in-nodes/ClipTextEncodeSdxl.mdx index 970e6d841..e26480c04 100755 --- a/built-in-nodes/ClipTextEncodeSdxl.mdx +++ b/built-in-nodes/ClipTextEncodeSdxl.mdx @@ -9,20 +9,22 @@ This node is designed to encode text input using a CLIP model specifically custo ## Inputs -| Parameter | Data Type | Description | -|-----------|-----------|-------------| -| `clip` | CLIP | CLIP model instance used for text encoding. | -| `width` | INT | Specifies the image width in pixels, default 1024. | -| `height` | INT | Specifies the image height in pixels, default 1024. | -| `crop_w` | INT | Width of the crop area in pixels, default 0. | -| `crop_h` | INT | Height of the crop area in pixels, default 0. | -| `target_width` | INT | Target width for the output image, default 1024. | -| `target_height` | INT | Target height for the output image, default 1024. | -| `text_g` | STRING | Global text description for overall scene description. | -| `text_l` | STRING | Local text description for detail description. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `clip` | CLIP model instance used for text encoding. | CLIP | +| `width` | Specifies the image width in pixels, default 1024. | INT | +| `height` | Specifies the image height in pixels, default 1024. | INT | +| `crop_w` | Width of the crop area in pixels, default 0. | INT | +| `crop_h` | Height of the crop area in pixels, default 0. | INT | +| `target_width` | Target width for the output image, default 1024. | INT | +| `target_height` | Target height for the output image, default 1024. | INT | +| `text_g` | Global text description for overall scene description. | STRING | +| `text_l` | Local text description for detail description. | STRING | ## Outputs -| Parameter | Data Type | Description | -|-----------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | Contains encoded text and conditional information needed for image generation. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | Contains encoded text and conditional information needed for image generation. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSDXL/en.md) diff --git a/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx b/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx index 2b85ac8d2..d47b0aed4 100755 --- a/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx +++ b/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx @@ -22,19 +22,19 @@ Refiner can be used in two ways: ## Inputs -| Parameter Name | Data Type | Input Type | Default Value | Value Range | Description | -|----------------|-----------|------------|---------------|-------------|-------------| -| `clip` | CLIP | Required | - | - | CLIP model instance used for text tokenization and encoding, the core component for converting text into model-understandable format | -| `ascore` | FLOAT | Optional | 6.0 | 0.0-1000.0 | Controls the visual quality and aesthetics of generated images, similar to setting quality standards for artwork:
- High scores(7.5-8.5): Pursues more refined, detail-rich effects
- Medium scores(6.0-7.0): Balanced quality control
- Low scores(2.0-3.0): Suitable for negative prompts | -| `width` | INT | Required | 1024 | 64-16384 | Specifies output image width (pixels), must be multiple of 8. SDXL performs best when total pixel count is close to 1024×1024 (about 1M pixels) | -| `height` | INT | Required | 1024 | 64-16384 | Specifies output image height (pixels), must be multiple of 8. SDXL performs best when total pixel count is close to 1024×1024 (about 1M pixels) | -| `text` | STRING | Required | - | - | Text prompt description, supports multi-line input and dynamic prompt syntax. In Refiner, text prompts should focus more on describing desired visual quality and detail characteristics | +| Parameter Name | Description | Data Type | Input Type | Default Value | Value Range | +| --- | --- | --- | --- | --- | --- | +| `clip` | CLIP model instance used for text tokenization and encoding, the core component for converting text into model-understandable format | CLIP | Required | - | - | +| `ascore` | Controls the visual quality and aesthetics of generated images, similar to setting quality standards for artwork:
- High scores(7.5-8.5): Pursues more refined, detail-rich effects
- Medium scores(6.0-7.0): Balanced quality control
- Low scores(2.0-3.0): Suitable for negative prompts | FLOAT | Optional | 6.0 | 0.0-1000.0 | +| `width` | Specifies output image width (pixels), must be multiple of 8. SDXL performs best when total pixel count is close to 1024×1024 (about 1M pixels) | INT | Required | 1024 | 64-16384 | +| `height` | Specifies output image height (pixels), must be multiple of 8. SDXL performs best when total pixel count is close to 1024×1024 (about 1M pixels) | INT | Required | 1024 | 64-16384 | +| `text` | Text prompt description, supports multi-line input and dynamic prompt syntax. In Refiner, text prompts should focus more on describing desired visual quality and detail characteristics | STRING | Required | - | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | Refined conditional output containing integrated encoding of text semantics, aesthetic standards, and dimensional information, specifically for guiding SDXL Refiner model in precise image refinement | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | Refined conditional output containing integrated encoding of text semantics, aesthetic standards, and dimensional information, specifically for guiding SDXL Refiner model in precise image refinement | CONDITIONING | ## Notes @@ -43,3 +43,5 @@ Refiner can be used in two ways: 3. All dimensional parameters must be multiples of 8, and total pixel count close to 1024×1024 (about 1M pixels) is recommended 4. The Refiner model focuses on enhancing image details and quality, so text prompts should emphasize desired visual effects rather than scene content 5. In practical use, Refiner is typically used in the later stages of generation (approximately the last 20% of steps), focusing on detail optimization + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSDXLRefiner/en.md) diff --git a/built-in-nodes/ClipVisionEncode.mdx b/built-in-nodes/ClipVisionEncode.mdx index 49d2c398a..92974be59 100755 --- a/built-in-nodes/ClipVisionEncode.mdx +++ b/built-in-nodes/ClipVisionEncode.mdx @@ -15,17 +15,17 @@ The `CLIP Vision Encode` node is an image encoding node in ComfyUI, used to conv ## Inputs -| Parameter Name | Data Type | Description | -| -------------- | ----------- | --------------------------------------------------------------- | -| `clip_vision` | CLIP_VISION | CLIP vision model, usually loaded via the CLIPVisionLoader node | -| `image` | IMAGE | The input image to be encoded | -| `crop` | Dropdown | Image cropping method, options: center (center crop), none (no crop) | +| Parameter Name | Description | Data Type | +| --- | --- | --- | +| `clip_vision` | CLIP vision model, usually loaded via the CLIPVisionLoader node | CLIP_VISION | +| `image` | The input image to be encoded | IMAGE | +| `crop` | Image cropping method, options: center (center crop), none (no crop) | Dropdown | ## Outputs -| Output Name | Data Type | Description | -| ------------------- | ------------------ | -------------------------- | -| CLIP_VISION_OUTPUT | CLIP_VISION_OUTPUT | Encoded visual features | +| Output Name | Description | Data Type | +| --- | --- | --- | +| CLIP_VISION_OUTPUT | Encoded visual features | CLIP_VISION_OUTPUT | This output object contains: @@ -33,3 +33,5 @@ This output object contains: - `image_embeds`: Image embedding vector - `penultimate_hidden_states`: The penultimate hidden state - `mm_projected`: Multimodal projection result (if available) + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPVisionEncode/en.md) diff --git a/built-in-nodes/ClipVisionLoader.mdx b/built-in-nodes/ClipVisionLoader.mdx index 193420f0a..b6b67a6f7 100755 --- a/built-in-nodes/ClipVisionLoader.mdx +++ b/built-in-nodes/ClipVisionLoader.mdx @@ -9,12 +9,14 @@ This node automatically detects models located in the `ComfyUI/models/clip_visio ## Inputs -| Field | Data Type | Description | -|-------------|---------------|-------------| -| `clip_name` | COMBO[STRING] | Lists all supported model files in the `ComfyUI/models/clip_vision` folder. | +| Field | Description | Data Type | +| --- | --- | --- | +| `clip_name` | Lists all supported model files in the `ComfyUI/models/clip_vision` folder. | COMBO[STRING] | ## Outputs -| Field | Data Type | Description | -|--------------|--------------|-------------| -| `clip_vision` | CLIP_VISION | Loaded CLIP Vision model, ready for encoding images or other vision-related tasks. | +| Field | Description | Data Type | +| --- | --- | --- | +| `clip_vision` | Loaded CLIP Vision model, ready for encoding images or other vision-related tasks. | CLIP_VISION | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPVisionLoader/en.md) diff --git a/built-in-nodes/ColorToRGBInt.mdx b/built-in-nodes/ColorToRGBInt.mdx index f1f199747..a8eb683a0 100644 --- a/built-in-nodes/ColorToRGBInt.mdx +++ b/built-in-nodes/ColorToRGBInt.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ColorToRGBInt" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/en.md) - The **ColorToRGBInt** node converts a color specified in hexadecimal format (like `#FF5733`) into a single integer value. It takes the red, green, and blue components from the color string and combines them into one RGB integer. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `color` | STRING | Yes | N/A | A color value in the hexadecimal format `#RRGGBB`. Must be exactly 7 characters long and start with `#`. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `color` | A color value in the hexadecimal format `#RRGGBB`. Must be exactly 7 characters long and start with `#`. | STRING | Yes | N/A | **Note:** The input `color` string must follow the format `#RRGGBB` exactly. If the string is not 7 characters long or does not start with `#`, the node will raise an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `rgb_int` | INT | The calculated RGB integer value. This is derived from the formula: `(Red * 65536) + (Green * 256) + Blue`. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `rgb_int` | The calculated RGB integer value. This is derived from the formula: `(Red * 65536) + (Green * 256) + Blue`. | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/en.md) --- **Source fingerprint (SHA-256):** `afbbdddb59eddf9e2cc8ab51765affff1676a589c2a2989ff90038ad0119dc9f` diff --git a/built-in-nodes/ColorTransfer.mdx b/built-in-nodes/ColorTransfer.mdx index e47749831..431201eb9 100644 --- a/built-in-nodes/ColorTransfer.mdx +++ b/built-in-nodes/ColorTransfer.mdx @@ -5,19 +5,17 @@ sidebarTitle: "ColorTransfer" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorTransfer/en.md) - The ColorTransfer node adjusts the color palette of a target image to match the colors of a reference image. It uses different mathematical algorithms to analyze and transfer the color characteristics, such as brightness, contrast, and hue distribution, from the reference to the target. This is useful for creating visual consistency across multiple images or applying a specific color grade. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image_target` | IMAGE | Yes | - | Image(s) to apply the color transform to. | -| `image_ref` | IMAGE | Yes | - | Reference image(s) to match colors to. | -| `method` | COMBO | Yes | `"reinhard_lab"`
`"mkl_lab"`
`"histogram"` | The color transfer algorithm to use. | -| `source_stats` | DYNAMICCOMBO | Yes | `"per_frame"`
`"uniform"`
`"target_frame"` | Determines how color statistics are calculated from the source (target) image(s). | -| `strength` | FLOAT | Yes | 0.0 to 10.0 | The intensity of the color transfer effect. A value of 1.0 applies the full transform, while 0.0 returns the original image. Default: 1.0 | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image_target` | Image(s) to apply the color transform to. | IMAGE | Yes | - | +| `image_ref` | Reference image(s) to match colors to. | IMAGE | Yes | - | +| `method` | The color transfer algorithm to use. | COMBO | Yes | `"reinhard_lab"`
`"mkl_lab"`
`"histogram"` | +| `source_stats` | Determines how color statistics are calculated from the source (target) image(s). | DYNAMICCOMBO | Yes | `"per_frame"`
`"uniform"`
`"target_frame"` | +| `strength` | The intensity of the color transfer effect. A value of 1.0 applies the full transform, while 0.0 returns the original image. Default: 1.0 | FLOAT | Yes | 0.0 to 10.0 | **Parameter Details:** * **`source_stats` Options:** @@ -33,9 +31,11 @@ The ColorTransfer node adjusts the color palette of a target image to match the ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The resulting image(s) after the color transfer has been applied. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The resulting image(s) after the color transfer has been applied. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorTransfer/en.md) --- **Source fingerprint (SHA-256):** `f844af34ac6129c7751953c48e2d12aa0d2c556937e610f649f3eb2725955711` diff --git a/built-in-nodes/CombineHooks.mdx b/built-in-nodes/CombineHooks.mdx index 0e7daef2b..961332156 100644 --- a/built-in-nodes/CombineHooks.mdx +++ b/built-in-nodes/CombineHooks.mdx @@ -5,24 +5,24 @@ sidebarTitle: "CombineHooks" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooks/en.md) - The Combine Hooks [2] node merges two hook groups into a single combined hook group. It takes two optional hook inputs and combines them using ComfyUI's hook combination functionality. This allows you to consolidate multiple hook configurations for streamlined processing. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `hooks_A` | HOOKS | No | - | First hook group to combine | -| `hooks_B` | HOOKS | No | - | Second hook group to combine | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `hooks_A` | First hook group to combine | HOOKS | No | - | +| `hooks_B` | Second hook group to combine | HOOKS | No | - | **Note:** Both inputs are optional, but at least one hook group must be provided for the node to function. If only one hook group is provided, it will be returned unchanged. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `hooks` | HOOKS | Combined hook group containing all hooks from both input groups | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `hooks` | Combined hook group containing all hooks from both input groups | HOOKS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooks/en.md) --- **Source fingerprint (SHA-256):** `558ceef1cebedd0b7e045b7d1eb1afa4316ea6a3c35f982968af132dca164126` diff --git a/built-in-nodes/CombineHooksEight.mdx b/built-in-nodes/CombineHooksEight.mdx index d738c14f5..93783cadd 100644 --- a/built-in-nodes/CombineHooksEight.mdx +++ b/built-in-nodes/CombineHooksEight.mdx @@ -5,30 +5,30 @@ sidebarTitle: "CombineHooksEight" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksEight/en.md) - The Combine Hooks [8] node merges up to eight different hook groups into a single combined hook group. It takes multiple hook inputs and combines them using ComfyUI's hook combination functionality. This allows you to consolidate multiple hook configurations for streamlined processing in advanced workflows. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `hooks_A` | HOOKS | optional | None | - | First hook group to combine | -| `hooks_B` | HOOKS | optional | None | - | Second hook group to combine | -| `hooks_C` | HOOKS | optional | None | - | Third hook group to combine | -| `hooks_D` | HOOKS | optional | None | - | Fourth hook group to combine | -| `hooks_E` | HOOKS | optional | None | - | Fifth hook group to combine | -| `hooks_F` | HOOKS | optional | None | - | Sixth hook group to combine | -| `hooks_G` | HOOKS | optional | None | - | Seventh hook group to combine | -| `hooks_H` | HOOKS | optional | None | - | Eighth hook group to combine | +| Parameter | Description | Data Type | Input Type | Default | Range | +| --- | --- | --- | --- | --- | --- | +| `hooks_A` | First hook group to combine | HOOKS | optional | None | - | +| `hooks_B` | Second hook group to combine | HOOKS | optional | None | - | +| `hooks_C` | Third hook group to combine | HOOKS | optional | None | - | +| `hooks_D` | Fourth hook group to combine | HOOKS | optional | None | - | +| `hooks_E` | Fifth hook group to combine | HOOKS | optional | None | - | +| `hooks_F` | Sixth hook group to combine | HOOKS | optional | None | - | +| `hooks_G` | Seventh hook group to combine | HOOKS | optional | None | - | +| `hooks_H` | Eighth hook group to combine | HOOKS | optional | None | - | **Note:** All input parameters are optional. The node will combine only the hook groups that are provided, ignoring any that are left empty. You can provide anywhere from one to eight hook groups for combination. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `HOOKS` | HOOKS | A single combined hook group containing all the provided hook configurations | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `HOOKS` | A single combined hook group containing all the provided hook configurations | HOOKS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksEight/en.md) --- **Source fingerprint (SHA-256):** `8cd13ec6710a9b2905c14301cfd15be616c00f1b4140451cdf0915f091c77197` diff --git a/built-in-nodes/CombineHooksFour.mdx b/built-in-nodes/CombineHooksFour.mdx index 4190da0f1..cf18a5490 100644 --- a/built-in-nodes/CombineHooksFour.mdx +++ b/built-in-nodes/CombineHooksFour.mdx @@ -5,26 +5,26 @@ sidebarTitle: "CombineHooksFour" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksFour/en.md) - The Combine Hooks [4] node merges up to four separate hook groups into a single combined hook group. It takes any combination of the four available hook inputs and combines them using ComfyUI's hook combination system. This allows you to consolidate multiple hook configurations for streamlined processing in advanced workflows. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `hooks_A` | HOOKS | optional | None | - | First hook group to combine | -| `hooks_B` | HOOKS | optional | None | - | Second hook group to combine | -| `hooks_C` | HOOKS | optional | None | - | Third hook group to combine | -| `hooks_D` | HOOKS | optional | None | - | Fourth hook group to combine | +| Parameter | Description | Data Type | Input Type | Default | Range | +| --- | --- | --- | --- | --- | --- | +| `hooks_A` | First hook group to combine | HOOKS | optional | None | - | +| `hooks_B` | Second hook group to combine | HOOKS | optional | None | - | +| `hooks_C` | Third hook group to combine | HOOKS | optional | None | - | +| `hooks_D` | Fourth hook group to combine | HOOKS | optional | None | - | **Note:** All four hook inputs are optional. The node will combine only the hook groups that are provided, and will return an empty hook group if no inputs are connected. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `HOOKS` | HOOKS | Combined hook group containing all provided hook configurations | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `HOOKS` | Combined hook group containing all provided hook configurations | HOOKS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksFour/en.md) --- **Source fingerprint (SHA-256):** `92a8038e7b5a7491afcbd48830a1e278fe4d697321fb874821ebf7edd09d5815` diff --git a/built-in-nodes/ComboOptionTestNode.mdx b/built-in-nodes/ComboOptionTestNode.mdx index 2982b867e..577af9c80 100644 --- a/built-in-nodes/ComboOptionTestNode.mdx +++ b/built-in-nodes/ComboOptionTestNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ComboOptionTestNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComboOptionTestNode/en.md) - The ComboOptionTestNode is a logic node designed to test and pass through combo box selections. It takes two combo box inputs, each with a predefined set of options, and outputs the selected values directly without modification. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `combo` | COMBO | Yes | `"option1"`
`"option2"`
`"option3"` | The first selection from a set of three test options. | -| `combo2` | COMBO | Yes | `"option4"`
`"option5"`
`"option6"` | The second selection from a different set of three test options. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `combo` | The first selection from a set of three test options. | COMBO | Yes | `"option1"`
`"option2"`
`"option3"` | +| `combo2` | The second selection from a different set of three test options. | COMBO | Yes | `"option4"`
`"option5"`
`"option6"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output_1` | COMBO | Outputs the value selected from the first combo box (`combo`). | -| `output_2` | COMBO | Outputs the value selected from the second combo box (`combo2`). | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output_1` | Outputs the value selected from the first combo box (`combo`). | COMBO | +| `output_2` | Outputs the value selected from the second combo box (`combo2`). | COMBO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComboOptionTestNode/en.md) --- **Source fingerprint (SHA-256):** `efa45d1310ff9c623afb858b6f561739c3d7ee9fc84b57c64746693a27906bec` diff --git a/built-in-nodes/ComfyAndNode.mdx b/built-in-nodes/ComfyAndNode.mdx index 145bc1007..5f0fccb16 100644 --- a/built-in-nodes/ComfyAndNode.mdx +++ b/built-in-nodes/ComfyAndNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ComfyAndNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/en.md) - ## Overview The And node performs a logical AND operation on a set of input values. It returns `true` only if all of the provided values are considered truthy according to Python's truthiness rules. This node is useful for checking that multiple conditions are all met before proceeding. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `values` | ANY | Yes | 1 or more values | A list of values to evaluate. The node accepts at least one value, and you can add more by clicking the "+" button on the node. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `values` | A list of values to evaluate. The node accepts at least one value, and you can add more by clicking the "+" button on the node. | ANY | Yes | 1 or more values | **Note:** The node uses Python's truthiness rules to determine if a value is `true` or `false`. For example, an empty string, the number 0, an empty list, and `None` are all considered `false`. All other values are considered `true`. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `BOOLEAN` | BOOLEAN | Returns `true` if all input values are truthy, otherwise returns `false`. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `BOOLEAN` | Returns `true` if all input values are truthy, otherwise returns `false`. | BOOLEAN | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/en.md) --- **Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4` diff --git a/built-in-nodes/ComfyMathExpression.mdx b/built-in-nodes/ComfyMathExpression.mdx index 53718dde8..dce8f3c26 100644 --- a/built-in-nodes/ComfyMathExpression.mdx +++ b/built-in-nodes/ComfyMathExpression.mdx @@ -5,16 +5,14 @@ sidebarTitle: "ComfyMathExpression" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyMathExpression/en.md) - The ComfyMathExpression node evaluates a mathematical formula using a set of input values. You can write an expression using variable names (like `a`, `b`, `c`), and the node will calculate the result. It supports dynamically adding as many input values as needed for your calculation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `expression` | STRING | Yes | N/A | The mathematical formula to evaluate. You can use variable names that correspond to the input values (default: "a + b"). | -| `values` | FLOAT, INT, BOOLEAN | No | N/A | A set of numeric or boolean inputs that can be dynamically added. Each input is assigned a letter from the alphabet (a, b, c, ...) to be used as a variable in the expression. At least one input value is required. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `expression` | The mathematical formula to evaluate. You can use variable names that correspond to the input values (default: "a + b"). | STRING | Yes | N/A | +| `values` | A set of numeric or boolean inputs that can be dynamically added. Each input is assigned a letter from the alphabet (a, b, c, ...) to be used as a variable in the expression. At least one input value is required. | FLOAT, INT, BOOLEAN | No | N/A | **Parameter Constraints:** * The `expression` parameter cannot be empty or contain only whitespace. @@ -24,11 +22,13 @@ The ComfyMathExpression node evaluates a mathematical formula using a set of inp ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `FLOAT` | FLOAT | The result of the mathematical expression as a floating-point number. | -| `INT` | INT | The result of the mathematical expression as an integer. | -| `BOOL` | BOOLEAN | The result of the mathematical expression as a boolean value. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `FLOAT` | The result of the mathematical expression as a floating-point number. | FLOAT | +| `INT` | The result of the mathematical expression as an integer. | INT | +| `BOOL` | The result of the mathematical expression as a boolean value. | BOOLEAN | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyMathExpression/en.md) --- **Source fingerprint (SHA-256):** `bf6221a7e1e955bdb56482de0a86a782494b2775fdd2edfde9fd20a9df0fe1a7` diff --git a/built-in-nodes/ComfyNotNode.mdx b/built-in-nodes/ComfyNotNode.mdx index 39a1d3f04..f2154296c 100644 --- a/built-in-nodes/ComfyNotNode.mdx +++ b/built-in-nodes/ComfyNotNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ComfyNotNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/en.md) - ## Overview The Not node performs a logical NOT operation on any input value. It returns True if the input value is considered falsy (like 0, empty string, None, False), and returns False if the input value is truthy. It uses Python's standard rules for determining truthiness. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `value` | ANY | Yes | Any value | The input value to be inverted. Any data type is accepted and evaluated using Python's truthiness rules. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `value` | The input value to be inverted. Any data type is accepted and evaluated using Python's truthiness rules. | ANY | Yes | Any value | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | BOOLEAN | The logical inverse of the input value. Returns True if the input is falsy, False if the input is truthy. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The logical inverse of the input value. Returns True if the input is falsy, False if the input is truthy. | BOOLEAN | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/en.md) --- **Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877` diff --git a/built-in-nodes/ComfyNumberConvert.mdx b/built-in-nodes/ComfyNumberConvert.mdx index 5412a2324..5ae2f4821 100644 --- a/built-in-nodes/ComfyNumberConvert.mdx +++ b/built-in-nodes/ComfyNumberConvert.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ComfyNumberConvert" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNumberConvert/en.md) - The Number Convert node transforms various input data types into numeric values. It accepts a single input of type integer, float, string, or boolean and produces two outputs: a floating-point number and an integer. This is useful for converting text or logical values into a format that can be used by other mathematical or processing nodes in your workflow. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `value` | INT, FLOAT, STRING, BOOLEAN | Yes | N/A | The value to be converted into numeric outputs. Accepts an integer, a floating-point number, a text string, or a true/false boolean. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `value` | The value to be converted into numeric outputs. Accepts an integer, a floating-point number, a text string, or a true/false boolean. | INT, FLOAT, STRING, BOOLEAN | Yes | N/A | **Note:** When the input is a string, it must not be empty and must contain a valid representation of a number (e.g., `"123"`, `"3.14"`). The node will raise an error for empty strings, text that cannot be parsed as a number, or values that are not finite (like `"inf"` or `"nan"`). For boolean inputs, `true` converts to 1.0 (FLOAT) and 1 (INT), while `false` converts to 0.0 (FLOAT) and 0 (INT). For float inputs, the integer output is obtained by truncating the decimal portion. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `FLOAT` | FLOAT | The input value converted to a floating-point number. | -| `INT` | INT | The input value converted to an integer. For float inputs, this performs a truncation. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `FLOAT` | The input value converted to a floating-point number. | FLOAT | +| `INT` | The input value converted to an integer. For float inputs, this performs a truncation. | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNumberConvert/en.md) --- **Source fingerprint (SHA-256):** `3a5501a3916df827b0376e4ba9c8b9972a91485cca38e067b683bb5f96c1d53c` diff --git a/built-in-nodes/ComfyOrNode.mdx b/built-in-nodes/ComfyOrNode.mdx index 021e537c0..86e6c5fc4 100644 --- a/built-in-nodes/ComfyOrNode.mdx +++ b/built-in-nodes/ComfyOrNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ComfyOrNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/en.md) - # ComfyOrNode The ComfyOrNode performs a logical OR operation on a set of input values. It returns `true` if any of the provided values are considered truthy according to Python's standard truthiness rules. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `value` | ANY | Yes | Multiple values accepted | A value to evaluate for truthiness. You can provide multiple values by adding more inputs. The node returns `true` if any of these values is truthy. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `value` | A value to evaluate for truthiness. You can provide multiple values by adding more inputs. The node returns `true` if any of these values is truthy. | ANY | Yes | Multiple values accepted | **Note:** The node accepts a minimum of 1 input value. You can add more inputs as needed using the autogrow feature. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `BOOLEAN` | BOOLEAN | Returns `true` if any of the input values is truthy; returns `false` if all input values are falsy. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `BOOLEAN` | Returns `true` if any of the input values is truthy; returns `false` if all input values are falsy. | BOOLEAN | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/en.md) --- **Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1` diff --git a/built-in-nodes/ComfySoftSwitchNode.mdx b/built-in-nodes/ComfySoftSwitchNode.mdx index 5bd97ec68..3c6f555c3 100644 --- a/built-in-nodes/ComfySoftSwitchNode.mdx +++ b/built-in-nodes/ComfySoftSwitchNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ComfySoftSwitchNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySoftSwitchNode/en.md) - The Soft Switch node selects between two possible input values based on a boolean condition. It outputs the value from the `on_true` input when the `switch` is true, and the value from the `on_false` input when the `switch` is false. This node is designed to be lazy, meaning it only evaluates the input that is needed based on the switch state. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `switch` | BOOLEAN | Yes | | The boolean condition that determines which input to pass through. When true, the `on_true` input is selected. When false, the `on_false` input is selected. | -| `on_false` | MATCH_TYPE | No | | The value to output when the `switch` condition is false. This input is optional, but at least one of `on_false` or `on_true` must be connected. | -| `on_true` | MATCH_TYPE | No | | The value to output when the `switch` condition is true. This input is optional, but at least one of `on_false` or `on_true` must be connected. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `switch` | The boolean condition that determines which input to pass through. When true, the `on_true` input is selected. When false, the `on_false` input is selected. | BOOLEAN | Yes | | +| `on_false` | The value to output when the `switch` condition is false. This input is optional, but at least one of `on_false` or `on_true` must be connected. | MATCH_TYPE | No | | +| `on_true` | The value to output when the `switch` condition is true. This input is optional, but at least one of `on_false` or `on_true` must be connected. | MATCH_TYPE | No | | **Note:** The `on_false` and `on_true` inputs must be of the same data type, as defined by the node's internal template. At least one of these two inputs must be connected for the node to function. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | MATCH_TYPE | The selected value. It will match the data type of the connected `on_false` or `on_true` input. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The selected value. It will match the data type of the connected `on_false` or `on_true` input. | MATCH_TYPE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySoftSwitchNode/en.md) --- **Source fingerprint (SHA-256):** `3ddfebaf67642f5bd79b0de38605f93507ede00d95e98cd78ec295f8de98d743` diff --git a/built-in-nodes/ComfySwitchNode.mdx b/built-in-nodes/ComfySwitchNode.mdx index 19f335843..d3c230061 100644 --- a/built-in-nodes/ComfySwitchNode.mdx +++ b/built-in-nodes/ComfySwitchNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ComfySwitchNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySwitchNode/en.md) - The Switch node selects between two possible inputs based on a boolean condition. It outputs the `on_true` input when the `switch` is enabled, and the `on_false` input when the `switch` is disabled. This allows you to create conditional logic and choose different data paths in your workflow. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `switch` | BOOLEAN | Yes | | A boolean condition that determines which input to pass through. When enabled (true), the `on_true` input is selected. When disabled (false), the `on_false` input is selected. | -| `on_false` | MATCH_TYPE | No | | The data to be passed to the output when the `switch` is disabled (false). This input is only required when the `switch` is false. | -| `on_true` | MATCH_TYPE | No | | The data to be passed to the output when the `switch` is enabled (true). This input is only required when the `switch` is true. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `switch` | A boolean condition that determines which input to pass through. When enabled (true), the `on_true` input is selected. When disabled (false), the `on_false` input is selected. | BOOLEAN | Yes | | +| `on_false` | The data to be passed to the output when the `switch` is disabled (false). This input is only required when the `switch` is false. | MATCH_TYPE | No | | +| `on_true` | The data to be passed to the output when the `switch` is enabled (true). This input is only required when the `switch` is true. | MATCH_TYPE | No | | **Note on Input Requirements:** The `on_false` and `on_true` inputs are conditionally required. The node will request the `on_true` input only when the `switch` is true, and the `on_false` input only when the `switch` is false. Both inputs must be of the same data type. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | MATCH_TYPE | The selected data. This will be the value from the `on_true` input if the `switch` is true, or the value from the `on_false` input if the `switch` is false. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The selected data. This will be the value from the `on_true` input if the `switch` is true, or the value from the `on_false` input if the `switch` is false. | MATCH_TYPE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySwitchNode/en.md) --- **Source fingerprint (SHA-256):** `6709dc66cf1c52bb31bde2cccd70324691261a03dfbab813b7196e20c0a4cb63` diff --git a/built-in-nodes/ConditioningAverage.mdx b/built-in-nodes/ConditioningAverage.mdx index 4b11f8a53..02f77bc37 100644 --- a/built-in-nodes/ConditioningAverage.mdx +++ b/built-in-nodes/ConditioningAverage.mdx @@ -13,17 +13,17 @@ As shown below, by adjusting the strength of `conditioning_to`, you can output a ## Inputs -| Parameter | Comfy dtype | Description | -|------------------------|---------------|-------------| -| `conditioning_to` | `CONDITIONING`| The target conditioning vector, serving as the main base for the weighted average. | -| `conditioning_from` | `CONDITIONING`| The source conditioning vector, which will be blended into the target according to a certain weight. | -| `conditioning_to_strength` | `FLOAT` | The strength of the target conditioning, range 0.0-1.0, default 1.0, step 0.01. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `conditioning_to` | The target conditioning vector, serving as the main base for the weighted average. | `CONDITIONING` | +| `conditioning_from` | The source conditioning vector, which will be blended into the target according to a certain weight. | `CONDITIONING` | +| `conditioning_to_strength` | The strength of the target conditioning, range 0.0-1.0, default 1.0, step 0.01. | `FLOAT` | ## Outputs -| Parameter | Comfy dtype | Description | -|------------------|---------------|-------------| -| `conditioning` | `CONDITIONING`| The resulting conditioning vector after blending, reflecting the weighted average. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `conditioning` | The resulting conditioning vector after blending, reflecting the weighted average. | `CONDITIONING` | ## Typical Use Cases @@ -31,3 +31,5 @@ As shown below, by adjusting the strength of `conditioning_to`, you can output a - **Style Fusion:** Combine different artistic styles or semantic conditions to create novel effects. - **Strength Adjustment:** Precisely control the influence of a particular conditioning on the result by adjusting the weight. - **Creative Exploration:** Explore diverse generative effects by mixing different prompts. + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningAverage/en.md) diff --git a/built-in-nodes/ConditioningCombine.mdx b/built-in-nodes/ConditioningCombine.mdx index c3a312697..f36b6d19b 100644 --- a/built-in-nodes/ConditioningCombine.mdx +++ b/built-in-nodes/ConditioningCombine.mdx @@ -9,16 +9,16 @@ This node combines two conditioning inputs into a single output, effectively mer ## Inputs -| Parameter Name | Data Type | Description | -|----------------------|--------------------|-------------| -| `conditioning_1` | `CONDITIONING` | The first conditioning input to be combined. It has equal importance with `conditioning_2` in the combination process. | -| `conditioning_2` | `CONDITIONING` | The second conditioning input to be combined. It has equal importance with `conditioning_1` in the combination process. | +| Parameter Name | Description | Data Type | +| --- | --- | --- | +| `conditioning_1` | The first conditioning input to be combined. It has equal importance with `conditioning_2` in the combination process. | `CONDITIONING` | +| `conditioning_2` | The second conditioning input to be combined. It has equal importance with `conditioning_1` in the combination process. | `CONDITIONING` | ## Outputs -| Parameter Name | Data Type | Description | -|----------------------|--------------------|-------------| -| `conditioning` | `CONDITIONING` | The result of combining `conditioning_1` and `conditioning_2`, encapsulating the merged information. | +| Parameter Name | Description | Data Type | +| --- | --- | --- | +| `conditioning` | The result of combining `conditioning_1` and `conditioning_2`, encapsulating the merged information. | `CONDITIONING` | ## Usage Scenarios @@ -33,3 +33,5 @@ Using this node, you can achieve: - Basic text merging: Connect the outputs of two `CLIP Text Encode` nodes to the two input ports of `Conditioning Combine` - Complex prompt combination: Combine positive and negative prompts, or separately encode main descriptions and style descriptions before merging - Conditional chain combination: Multiple `Conditioning Combine` nodes can be used in series to achieve gradual combination of multiple conditions + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningCombine/en.md) diff --git a/built-in-nodes/ConditioningConcat.mdx b/built-in-nodes/ConditioningConcat.mdx index 00b5f91e9..a1f8a5ada 100644 --- a/built-in-nodes/ConditioningConcat.mdx +++ b/built-in-nodes/ConditioningConcat.mdx @@ -9,13 +9,15 @@ The ConditioningConcat node is designed to concatenate conditioning vectors, spe ## Inputs -| Parameter | Comfy dtype | Description | -|-----------------------|--------------------|-------------| -| `conditioning_to` | `CONDITIONING` | Represents the primary set of conditioning vectors to which the 'conditioning_from' vectors will be concatenated. It serves as the base for the concatenation process. | -| `conditioning_from` | `CONDITIONING` | Consists of conditioning vectors that are to be concatenated to the 'conditioning_to' vectors. This parameter allows for additional conditioning information to be integrated into the existing set. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `conditioning_to` | Represents the primary set of conditioning vectors to which the 'conditioning_from' vectors will be concatenated. It serves as the base for the concatenation process. | `CONDITIONING` | +| `conditioning_from` | Consists of conditioning vectors that are to be concatenated to the 'conditioning_to' vectors. This parameter allows for additional conditioning information to be integrated into the existing set. | `CONDITIONING` | ## Outputs -| Parameter | Comfy dtype | Description | -|----------------------|--------------------|-------------| -| `conditioning` | `CONDITIONING` | The output is a unified set of conditioning vectors, resulting from the concatenation of 'conditioning_from' vectors into the 'conditioning_to' vectors. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `conditioning` | The output is a unified set of conditioning vectors, resulting from the concatenation of 'conditioning_from' vectors into the 'conditioning_to' vectors. | `CONDITIONING` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningConcat/en.md) diff --git a/built-in-nodes/ConditioningSetArea.mdx b/built-in-nodes/ConditioningSetArea.mdx index 824ec35e9..94eb2f6d0 100644 --- a/built-in-nodes/ConditioningSetArea.mdx +++ b/built-in-nodes/ConditioningSetArea.mdx @@ -9,17 +9,19 @@ This node is designed to modify the conditioning information by setting specific ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | The conditioning data to be modified. It serves as the base for applying spatial adjustments. | -| `width` | `INT` | Specifies the width of the area to be set within the conditioning context, influencing the horizontal scope of the adjustment. | -| `height` | `INT` | Determines the height of the area to be set, affecting the vertical extent of the conditioning modification. | -| `x` | `INT` | The horizontal starting point of the area to be set, positioning the adjustment within the conditioning context. | -| `y` | `INT` | The vertical starting point for the area adjustment, establishing its position within the conditioning context. | -| `strength`| `FLOAT` | Defines the intensity of the conditioning modification within the specified area, allowing for nuanced control over the adjustment's impact. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The conditioning data to be modified. It serves as the base for applying spatial adjustments. | CONDITIONING | +| `width` | Specifies the width of the area to be set within the conditioning context, influencing the horizontal scope of the adjustment. | `INT` | +| `height` | Determines the height of the area to be set, affecting the vertical extent of the conditioning modification. | `INT` | +| `x` | The horizontal starting point of the area to be set, positioning the adjustment within the conditioning context. | `INT` | +| `y` | The vertical starting point for the area adjustment, establishing its position within the conditioning context. | `INT` | +| `strength` | Defines the intensity of the conditioning modification within the specified area, allowing for nuanced control over the adjustment's impact. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | The modified conditioning data, reflecting the specified area settings and adjustments. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The modified conditioning data, reflecting the specified area settings and adjustments. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetArea/en.md) diff --git a/built-in-nodes/ConditioningSetAreaPercentage.mdx b/built-in-nodes/ConditioningSetAreaPercentage.mdx index 57e3c1c0a..cd73ace1c 100644 --- a/built-in-nodes/ConditioningSetAreaPercentage.mdx +++ b/built-in-nodes/ConditioningSetAreaPercentage.mdx @@ -9,17 +9,19 @@ The ConditioningSetAreaPercentage node specializes in adjusting the area of infl ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | Represents the conditioning elements to be modified, serving as the foundation for applying area and strength adjustments. | -| `width` | `FLOAT` | Specifies the width of the area as a percentage of the total image width, influencing how much of the image the conditioning affects horizontally. | -| `height` | `FLOAT` | Determines the height of the area as a percentage of the total image height, affecting the vertical extent of the conditioning's influence. | -| `x` | `FLOAT` | Indicates the horizontal starting point of the area as a percentage of the total image width, positioning the conditioning effect. | -| `y` | `FLOAT` | Specifies the vertical starting point of the area as a percentage of the total image height, positioning the conditioning effect. | -| `strength`| `FLOAT` | Controls the intensity of the conditioning effect within the specified area, allowing for fine-tuning of its impact. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | Represents the conditioning elements to be modified, serving as the foundation for applying area and strength adjustments. | CONDITIONING | +| `width` | Specifies the width of the area as a percentage of the total image width, influencing how much of the image the conditioning affects horizontally. | `FLOAT` | +| `height` | Determines the height of the area as a percentage of the total image height, affecting the vertical extent of the conditioning's influence. | `FLOAT` | +| `x` | Indicates the horizontal starting point of the area as a percentage of the total image width, positioning the conditioning effect. | `FLOAT` | +| `y` | Specifies the vertical starting point of the area as a percentage of the total image height, positioning the conditioning effect. | `FLOAT` | +| `strength` | Controls the intensity of the conditioning effect within the specified area, allowing for fine-tuning of its impact. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | Returns the modified conditioning elements with updated area and strength parameters, ready for further processing or application. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | Returns the modified conditioning elements with updated area and strength parameters, ready for further processing or application. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentage/en.md) diff --git a/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx b/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx index 5328a8645..8b880ffba 100644 --- a/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx +++ b/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx @@ -5,28 +5,28 @@ sidebarTitle: "ConditioningSetAreaPercentageVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentageVideo/en.md) - The ConditioningSetAreaPercentageVideo node modifies conditioning data by defining a specific area and temporal region for video generation. It allows you to set the position, size, and duration of the area where the conditioning will be applied using percentage values relative to the overall dimensions. This is useful for focusing the generation on specific parts of a video sequence. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `conditioning` | CONDITIONING | Required | - | - | The conditioning data to be modified | -| `width` | FLOAT | Required | 1.0 | 0.0 - 1.0 | The width of the area as a percentage of the total width | -| `height` | FLOAT | Required | 1.0 | 0.0 - 1.0 | The height of the area as a percentage of the total height | -| `temporal` | FLOAT | Required | 1.0 | 0.0 - 1.0 | The temporal duration of the area as a percentage of the total video length | -| `x` | FLOAT | Required | 0.0 | 0.0 - 1.0 | The horizontal starting position of the area as a percentage | -| `y` | FLOAT | Required | 0.0 | 0.0 - 1.0 | The vertical starting position of the area as a percentage | -| `z` | FLOAT | Required | 0.0 | 0.0 - 1.0 | The temporal starting position of the area as a percentage of the video timeline | -| `strength` | FLOAT | Required | 1.0 | 0.0 - 10.0 | The strength multiplier applied to the conditioning within the defined area | +| Parameter | Description | Data Type | Input Type | Default | Range | +| --- | --- | --- | --- | --- | --- | +| `conditioning` | The conditioning data to be modified | CONDITIONING | Required | - | - | +| `width` | The width of the area as a percentage of the total width | FLOAT | Required | 1.0 | 0.0 - 1.0 | +| `height` | The height of the area as a percentage of the total height | FLOAT | Required | 1.0 | 0.0 - 1.0 | +| `temporal` | The temporal duration of the area as a percentage of the total video length | FLOAT | Required | 1.0 | 0.0 - 1.0 | +| `x` | The horizontal starting position of the area as a percentage | FLOAT | Required | 0.0 | 0.0 - 1.0 | +| `y` | The vertical starting position of the area as a percentage | FLOAT | Required | 0.0 | 0.0 - 1.0 | +| `z` | The temporal starting position of the area as a percentage of the video timeline | FLOAT | Required | 0.0 | 0.0 - 1.0 | +| `strength` | The strength multiplier applied to the conditioning within the defined area | FLOAT | Required | 1.0 | 0.0 - 10.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `conditioning` | CONDITIONING | The modified conditioning data with the specified area and strength settings applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `conditioning` | The modified conditioning data with the specified area and strength settings applied | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentageVideo/en.md) --- **Source fingerprint (SHA-256):** `72d4bef4f8ddc4765cf69863f7ad03d34992f0ff30a963dbe2dc1b7d69815410` diff --git a/built-in-nodes/ConditioningSetAreaStrength.mdx b/built-in-nodes/ConditioningSetAreaStrength.mdx index 41f88d94e..d3ac86b0f 100644 --- a/built-in-nodes/ConditioningSetAreaStrength.mdx +++ b/built-in-nodes/ConditioningSetAreaStrength.mdx @@ -9,13 +9,15 @@ This node is designed to modify the strength attribute of a given conditioning s ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | The conditioning set to be modified, representing the current state of conditioning that influences the generation process. | -| `strength` | `FLOAT` | The strength value to be applied to the conditioning set, dictating the intensity of its influence. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The conditioning set to be modified, representing the current state of conditioning that influences the generation process. | CONDITIONING | +| `strength` | The strength value to be applied to the conditioning set, dictating the intensity of its influence. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | The modified conditioning set with updated strength values for each element. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The modified conditioning set with updated strength values for each element. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaStrength/en.md) diff --git a/built-in-nodes/ConditioningSetDefaultAndCombine.mdx b/built-in-nodes/ConditioningSetDefaultAndCombine.mdx index 08f717068..77931390b 100644 --- a/built-in-nodes/ConditioningSetDefaultAndCombine.mdx +++ b/built-in-nodes/ConditioningSetDefaultAndCombine.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ConditioningSetDefaultAndCombine" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetDefaultAndCombine/en.md) - This node combines a primary conditioning input with a default conditioning input using a hook-based system. It merges the two conditioning sources into a single output, allowing the default conditioning to serve as a fallback or base when the primary conditioning is incomplete. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `cond` | CONDITIONING | Required | - | - | The primary conditioning input to be processed and combined | -| `cond_DEFAULT` | CONDITIONING | Required | - | - | The default conditioning data to be combined with the primary conditioning | -| `hooks` | HOOKS | Optional | - | - | Optional hook configuration that controls how the conditioning data is processed and combined | +| Parameter | Description | Data Type | Input Type | Default | Range | +| --- | --- | --- | --- | --- | --- | +| `cond` | The primary conditioning input to be processed and combined | CONDITIONING | Required | - | - | +| `cond_DEFAULT` | The default conditioning data to be combined with the primary conditioning | CONDITIONING | Required | - | - | +| `hooks` | Optional hook configuration that controls how the conditioning data is processed and combined | HOOKS | Optional | - | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The combined conditioning data resulting from merging the primary and default conditioning inputs | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The combined conditioning data resulting from merging the primary and default conditioning inputs | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetDefaultAndCombine/en.md) --- **Source fingerprint (SHA-256):** `5e6c95f454c7e262878cc362c6b199e01abff10f803c81afe6e76a317c30d039` diff --git a/built-in-nodes/ConditioningSetMask.mdx b/built-in-nodes/ConditioningSetMask.mdx index c46ce576f..58c330652 100644 --- a/built-in-nodes/ConditioningSetMask.mdx +++ b/built-in-nodes/ConditioningSetMask.mdx @@ -11,15 +11,17 @@ This node is designed to modify the conditioning of a generative model by applyi ### Required -| Parameter | Data Type | Description | -|---------------|--------------|-------------| -| `CONDITIONING` | CONDITIONING | The conditioning data to be modified. It serves as the basis for applying the mask and strength adjustments. | -| `mask` | `MASK` | A mask tensor that specifies the areas within the conditioning to be modified. | -| `strength` | `FLOAT` | The strength of the mask's effect on the conditioning, allowing for fine-tuning of the applied modifications. | -| `set_cond_area` | COMBO[STRING] | Determines whether the mask's effect is applied to the default area or bounded by the mask itself, offering flexibility in targeting specific regions. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The conditioning data to be modified. It serves as the basis for applying the mask and strength adjustments. | CONDITIONING | +| `mask` | A mask tensor that specifies the areas within the conditioning to be modified. | `MASK` | +| `strength` | The strength of the mask's effect on the conditioning, allowing for fine-tuning of the applied modifications. | `FLOAT` | +| `set_cond_area` | Determines whether the mask's effect is applied to the default area or bounded by the mask itself, offering flexibility in targeting specific regions. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|---------------|--------------|-------------| -| `CONDITIONING` | CONDITIONING | The modified conditioning data, with the mask and strength adjustments applied. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The modified conditioning data, with the mask and strength adjustments applied. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetMask/en.md) diff --git a/built-in-nodes/ConditioningSetProperties.mdx b/built-in-nodes/ConditioningSetProperties.mdx index 65e6fa55a..399f823c1 100644 --- a/built-in-nodes/ConditioningSetProperties.mdx +++ b/built-in-nodes/ConditioningSetProperties.mdx @@ -5,28 +5,28 @@ sidebarTitle: "ConditioningSetProperties" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetProperties/en.md) - The ConditioningSetProperties node modifies the properties of conditioning data by adjusting strength, area settings, and applying optional masks, hooks, or timestep ranges. It allows you to control how conditioning influences the generation process by setting specific parameters that affect the application of conditioning data during image generation. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `cond_NEW` | CONDITIONING | Required | - | - | The conditioning data to modify | -| `strength` | FLOAT | Required | 1.0 | 0.0 - 10.0 (step: 0.01) | Controls the intensity of the conditioning effect | -| `set_cond_area` | STRING | Required | default | ["default", "mask bounds"] | Determines how the conditioning area is applied. Choose "default" for standard behavior or "mask bounds" to restrict to the mask region | -| `mask` | MASK | Optional | - | - | Optional mask to restrict where conditioning is applied | -| `hooks` | HOOKS | Optional | - | - | Optional hook functions for custom processing | -| `timesteps` | TIMESTEPS_RANGE | Optional | - | - | Optional timestep range to limit when conditioning is active | +| Parameter | Description | Data Type | Input Type | Default | Range | +| --- | --- | --- | --- | --- | --- | +| `cond_NEW` | The conditioning data to modify | CONDITIONING | Required | - | - | +| `strength` | Controls the intensity of the conditioning effect | FLOAT | Required | 1.0 | 0.0 - 10.0 (step: 0.01) | +| `set_cond_area` | Determines how the conditioning area is applied. Choose "default" for standard behavior or "mask bounds" to restrict to the mask region | STRING | Required | default | ["default", "mask bounds"] | +| `mask` | Optional mask to restrict where conditioning is applied | MASK | Optional | - | - | +| `hooks` | Optional hook functions for custom processing | HOOKS | Optional | - | - | +| `timesteps` | Optional timestep range to limit when conditioning is active | TIMESTEPS_RANGE | Optional | - | - | **Note:** When a `mask` is provided, the `set_cond_area` parameter can be set to "mask bounds" to restrict conditioning application to the masked region only. The `hooks` parameter allows for custom processing via hook functions, and `timesteps` limits the conditioning effect to a specific range of timesteps during generation. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The modified conditioning data with updated properties | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The modified conditioning data with updated properties | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetProperties/en.md) --- **Source fingerprint (SHA-256):** `5e3f5348f6df8f2fa1c1d42b883efcab3ee07d933e219f11fa48730aacc168d7` diff --git a/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx b/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx index f220128f5..6988da35d 100644 --- a/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx +++ b/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx @@ -5,29 +5,29 @@ sidebarTitle: "ConditioningSetPropertiesAndCombine" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetPropertiesAndCombine/en.md) - The ConditioningSetPropertiesAndCombine node modifies conditioning data by applying properties from a new conditioning input to an existing conditioning input. It combines the two conditioning sets while controlling the strength of the new conditioning and specifying how the conditioning area should be applied. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `cond` | CONDITIONING | Required | - | - | The original conditioning data to be modified | -| `cond_NEW` | CONDITIONING | Required | - | - | The new conditioning data providing properties to apply | -| `strength` | FLOAT | Required | 1.0 | 0.0 - 10.0 | Controls the intensity of the new conditioning properties | -| `set_cond_area` | STRING | Required | default | ["default", "mask bounds"] | Determines how the conditioning area is applied | -| `mask` | MASK | Optional | - | - | Optional mask to define specific areas for conditioning | -| `hooks` | HOOKS | Optional | - | - | Optional hook functions for custom processing | -| `timesteps` | TIMESTEPS_RANGE | Optional | - | - | Optional timestep range for controlling when conditioning is applied | +| Parameter | Description | Data Type | Input Type | Default | Range | +| --- | --- | --- | --- | --- | --- | +| `cond` | The original conditioning data to be modified | CONDITIONING | Required | - | - | +| `cond_NEW` | The new conditioning data providing properties to apply | CONDITIONING | Required | - | - | +| `strength` | Controls the intensity of the new conditioning properties | FLOAT | Required | 1.0 | 0.0 - 10.0 | +| `set_cond_area` | Determines how the conditioning area is applied | STRING | Required | default | ["default", "mask bounds"] | +| `mask` | Optional mask to define specific areas for conditioning | MASK | Optional | - | - | +| `hooks` | Optional hook functions for custom processing | HOOKS | Optional | - | - | +| `timesteps` | Optional timestep range for controlling when conditioning is applied | TIMESTEPS_RANGE | Optional | - | - | **Note:** When `mask` is provided, the `set_cond_area` parameter can use "mask bounds" to constrain the conditioning application to the masked regions. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The combined conditioning data with modified properties | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The combined conditioning data with modified properties | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetPropertiesAndCombine/en.md) --- **Source fingerprint (SHA-256):** `da57eeae428a103cbad77af063419ed0e85aeaa0b8805c8c197df27613477fa8` diff --git a/built-in-nodes/ConditioningSetTimestepRange.mdx b/built-in-nodes/ConditioningSetTimestepRange.mdx index df760702c..38226f9ee 100644 --- a/built-in-nodes/ConditioningSetTimestepRange.mdx +++ b/built-in-nodes/ConditioningSetTimestepRange.mdx @@ -9,14 +9,16 @@ This node is designed to adjust the temporal aspect of conditioning by setting a ## Inputs -| Parameter | Data Type | Description | +| Parameter | Description | Data Type | | --- | --- | --- | -| `CONDITIONING` | CONDITIONING | The conditioning input represents the current state of the generation process, which this node modifies by setting a specific range of timesteps. | -| `start` | `FLOAT` | The start parameter specifies the beginning of the timestep range as a percentage of the total generation process, allowing for fine-tuned control over when the conditioning effects begin. | -| `end` | `FLOAT` | The end parameter defines the endpoint of the timestep range as a percentage, enabling precise control over the duration and conclusion of the conditioning effects. | +| `CONDITIONING` | The conditioning input represents the current state of the generation process, which this node modifies by setting a specific range of timesteps. | CONDITIONING | +| `start` | The start parameter specifies the beginning of the timestep range as a percentage of the total generation process, allowing for fine-tuned control over when the conditioning effects begin. | `FLOAT` | +| `end` | The end parameter defines the endpoint of the timestep range as a percentage, enabling precise control over the duration and conclusion of the conditioning effects. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | +| Parameter | Description | Data Type | | --- | --- | --- | -| `CONDITIONING` | CONDITIONING | The output is the modified conditioning with the specified timestep range applied, ready for further processing or generation. | +| `CONDITIONING` | The output is the modified conditioning with the specified timestep range applied, ready for further processing or generation. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetTimestepRange/en.md) diff --git a/built-in-nodes/ConditioningStableAudio.mdx b/built-in-nodes/ConditioningStableAudio.mdx index c0acf2fba..f02f4e175 100644 --- a/built-in-nodes/ConditioningStableAudio.mdx +++ b/built-in-nodes/ConditioningStableAudio.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ConditioningStableAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningStableAudio/en.md) - The ConditioningStableAudio node adds timing information to both positive and negative conditioning inputs for audio generation. It sets the start time and total duration parameters that help control when and how long audio content should be generated. This node modifies existing conditioning data by appending audio-specific timing metadata. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The positive conditioning input to be modified with audio timing information | -| `negative` | CONDITIONING | Yes | - | The negative conditioning input to be modified with audio timing information | -| `seconds_start` | FLOAT | Yes | 0.0 to 1000.0 | The starting time in seconds for audio generation (default: 0.0) | -| `seconds_total` | FLOAT | Yes | 0.0 to 1000.0 | The total duration in seconds for audio generation (default: 47.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning input to be modified with audio timing information | CONDITIONING | Yes | - | +| `negative` | The negative conditioning input to be modified with audio timing information | CONDITIONING | Yes | - | +| `seconds_start` | The starting time in seconds for audio generation (default: 0.0) | FLOAT | Yes | 0.0 to 1000.0 | +| `seconds_total` | The total duration in seconds for audio generation (default: 47.0) | FLOAT | Yes | 0.0 to 1000.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The modified positive conditioning with audio timing information applied | -| `negative` | CONDITIONING | The modified negative conditioning with audio timing information applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The modified positive conditioning with audio timing information applied | CONDITIONING | +| `negative` | The modified negative conditioning with audio timing information applied | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningStableAudio/en.md) --- **Source fingerprint (SHA-256):** `16ad6c3f133df718bf05a1e55a2faf0b840570fd42dc177e1474d0d3e4837b79` diff --git a/built-in-nodes/ConditioningTimestepsRange.mdx b/built-in-nodes/ConditioningTimestepsRange.mdx index b6e3c20df..125136207 100644 --- a/built-in-nodes/ConditioningTimestepsRange.mdx +++ b/built-in-nodes/ConditioningTimestepsRange.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ConditioningTimestepsRange" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningTimestepsRange/en.md) - The ConditioningTimestepsRange node creates three distinct timestep ranges for controlling when conditioning effects are applied during the generation process. It takes start and end percentage values and divides the entire timestep range (0.0 to 1.0) into three segments: the main range between the specified percentages, the range before the start percentage, and the range after the end percentage. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `start_percent` | FLOAT | Yes | 0.0 - 1.0 | The starting percentage of the timestep range (default: 0.0) | -| `end_percent` | FLOAT | Yes | 0.0 - 1.0 | The ending percentage of the timestep range (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `start_percent` | The starting percentage of the timestep range (default: 0.0) | FLOAT | Yes | 0.0 - 1.0 | +| `end_percent` | The ending percentage of the timestep range (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `TIMESTEPS_RANGE` | TIMESTEPS_RANGE | The main timestep range defined by start_percent and end_percent | -| `BEFORE_RANGE` | TIMESTEPS_RANGE | The timestep range from 0.0 to start_percent | -| `AFTER_RANGE` | TIMESTEPS_RANGE | The timestep range from end_percent to 1.0 | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `TIMESTEPS_RANGE` | The main timestep range defined by start_percent and end_percent | TIMESTEPS_RANGE | +| `BEFORE_RANGE` | The timestep range from 0.0 to start_percent | TIMESTEPS_RANGE | +| `AFTER_RANGE` | The timestep range from end_percent to 1.0 | TIMESTEPS_RANGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningTimestepsRange/en.md) --- **Source fingerprint (SHA-256):** `dee21b5ac80fabdeacf3f4a985550fff795702e02911400ae49a97baae834e5e` diff --git a/built-in-nodes/ConditioningZeroOut.mdx b/built-in-nodes/ConditioningZeroOut.mdx index ef0836741..b6dcfbc60 100644 --- a/built-in-nodes/ConditioningZeroOut.mdx +++ b/built-in-nodes/ConditioningZeroOut.mdx @@ -9,12 +9,14 @@ This node zeroes out specific elements within the conditioning data structure, e ## Inputs -| Parameter | Comfy dtype | Description | -|-----------|----------------------------|-------------| -| `CONDITIONING` | CONDITIONING | The conditioning data structure to be modified. This node zeroes out the 'pooled_output' elements within each conditioning entry, if present. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `CONDITIONING` | The conditioning data structure to be modified. This node zeroes out the 'pooled_output' elements within each conditioning entry, if present. | CONDITIONING | ## Outputs -| Parameter | Comfy dtype | Description | -|-----------|----------------------------|-------------| -| `CONDITIONING` | CONDITIONING | The modified conditioning data structure, with 'pooled_output' elements set to zero where applicable. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `CONDITIONING` | The modified conditioning data structure, with 'pooled_output' elements set to zero where applicable. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningZeroOut/en.md) diff --git a/built-in-nodes/ContextWindowsManual.mdx b/built-in-nodes/ContextWindowsManual.mdx index f4d40977f..8d1b8c925 100644 --- a/built-in-nodes/ContextWindowsManual.mdx +++ b/built-in-nodes/ContextWindowsManual.mdx @@ -5,26 +5,24 @@ sidebarTitle: "ContextWindowsManual" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ContextWindowsManual/en.md) - The Context Windows (Manual) node allows you to manually configure context windows for models during sampling. It creates overlapping context segments with specified length, overlap, and scheduling patterns to process data in manageable chunks while maintaining continuity between segments. This node provides advanced options for controlling how context windows are applied, including noise shuffling, conditioning retention, and causal window fixes. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply context windows to during sampling. | -| `context_length` | INT | No | 1+ | The length of the context window (default: 16). | -| `context_overlap` | INT | No | 0+ | The overlap of the context window (default: 4). | -| `context_schedule` | COMBO | No | `STATIC_STANDARD`
`UNIFORM_STANDARD`
`UNIFORM_LOOPED`
`BATCHED` | The stride of the context window. | -| `context_stride` | INT | No | 1+ | The stride of the context window; only applicable to uniform schedules (default: 1). | -| `closed_loop` | BOOLEAN | No | - | Whether to close the context window loop; only applicable to looped schedules (default: False). | -| `fuse_method` | COMBO | No | `PYRAMID`
`LIST_STATIC` | The method to use to fuse the context windows (default: PYRAMID). | -| `dim` | INT | No | 0-5 | The dimension to apply the context windows to (default: 0). | -| `freenoise` | BOOLEAN | No | - | Whether to apply FreeNoise noise shuffling, improves window blending (default: False). | -| `cond_retain_index_list` | STRING | No | - | List of latent indices to retain in the conditioning tensors for each window, for example setting this to '0' will use the initial start image for each window (default: ""). | -| `split_conds_to_windows` | BOOLEAN | No | - | Whether to split multiple conditionings (created by ConditionCombine) to each window based on region index (default: False). | -| `causal_window_fix` | BOOLEAN | No | - | Whether to add a causal fix frame to non-0-indexed context windows (default: True). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply context windows to during sampling. | MODEL | Yes | - | +| `context_length` | The length of the context window (default: 16). | INT | No | 1+ | +| `context_overlap` | The overlap of the context window (default: 4). | INT | No | 0+ | +| `context_schedule` | The stride of the context window. | COMBO | No | `STATIC_STANDARD`
`UNIFORM_STANDARD`
`UNIFORM_LOOPED`
`BATCHED` | +| `context_stride` | The stride of the context window; only applicable to uniform schedules (default: 1). | INT | No | 1+ | +| `closed_loop` | Whether to close the context window loop; only applicable to looped schedules (default: False). | BOOLEAN | No | - | +| `fuse_method` | The method to use to fuse the context windows (default: PYRAMID). | COMBO | No | `PYRAMID`
`LIST_STATIC` | +| `dim` | The dimension to apply the context windows to (default: 0). | INT | No | 0-5 | +| `freenoise` | Whether to apply FreeNoise noise shuffling, improves window blending (default: False). | BOOLEAN | No | - | +| `cond_retain_index_list` | List of latent indices to retain in the conditioning tensors for each window, for example setting this to '0' will use the initial start image for each window (default: ""). | STRING | No | - | +| `split_conds_to_windows` | Whether to split multiple conditionings (created by ConditionCombine) to each window based on region index (default: False). | BOOLEAN | No | - | +| `causal_window_fix` | Whether to add a causal fix frame to non-0-indexed context windows (default: True). | BOOLEAN | No | - | **Parameter Constraints:** @@ -35,9 +33,11 @@ The Context Windows (Manual) node allows you to manually configure context windo ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The model with context windows applied during sampling. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The model with context windows applied during sampling. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ContextWindowsManual/en.md) --- **Source fingerprint (SHA-256):** `1351789e54e6b4013331014a49b98c6f8b79692ddabed7a64eeb7463cda03cc5` diff --git a/built-in-nodes/ControlNetApply.mdx b/built-in-nodes/ControlNetApply.mdx index e84c19b96..3d88d409d 100644 --- a/built-in-nodes/ControlNetApply.mdx +++ b/built-in-nodes/ControlNetApply.mdx @@ -26,3 +26,5 @@ Using controlNet requires preprocessing of input images. Since ComfyUI initial n | --- | --- | --- | | `positive` | `CONDITIONING` | Positive conditioning data processed by ControlNet, can be output to next ControlNet or K Sampler nodes | | `negative` | `CONDITIONING` | Negative conditioning data processed by ControlNet, can be output to next ControlNet or K Sampler nodes | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApply/en.md) diff --git a/built-in-nodes/ControlNetApplyAdvanced.mdx b/built-in-nodes/ControlNetApplyAdvanced.mdx index c33a2e176..58f746d5e 100644 --- a/built-in-nodes/ControlNetApplyAdvanced.mdx +++ b/built-in-nodes/ControlNetApplyAdvanced.mdx @@ -9,19 +9,21 @@ This node applies advanced control net transformations to conditioning data base ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `positive` | `CONDITIONING` | The positive conditioning data to which the control net transformations will be applied. It represents the desired attributes or features to enhance or maintain in the generated content. | -| `negative` | `CONDITIONING` | The negative conditioning data, representing attributes or features to diminish or remove from the generated content. The control net transformations are applied to this data as well, allowing for a balanced adjustment of the content's characteristics. | -| `control_net` | `CONTROL_NET` | The control net model is crucial for defining the specific adjustments and enhancements to the conditioning data. It interprets the reference image and strength parameters to apply transformations, significantly influencing the final output by modifying attributes in both positive and negative conditioning data. | -| `image` | `IMAGE` | The image serving as a reference for the control net transformations. It influences the adjustments made by the control net to the conditioning data, guiding the enhancement or suppression of specific features. | -| `strength` | `FLOAT` | A scalar value determining the intensity of the control net's influence on the conditioning data. Higher values result in more pronounced adjustments. | -| `start_percent` | `FLOAT` | The starting percentage of the control net's effect, allowing for gradual application of transformations over a specified range. | -| `end_percent` | `FLOAT` | The ending percentage of the control net's effect, defining the range over which the transformations are applied. This enables more nuanced control over the adjustment process. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `positive` | The positive conditioning data to which the control net transformations will be applied. It represents the desired attributes or features to enhance or maintain in the generated content. | `CONDITIONING` | +| `negative` | The negative conditioning data, representing attributes or features to diminish or remove from the generated content. The control net transformations are applied to this data as well, allowing for a balanced adjustment of the content's characteristics. | `CONDITIONING` | +| `control_net` | The control net model is crucial for defining the specific adjustments and enhancements to the conditioning data. It interprets the reference image and strength parameters to apply transformations, significantly influencing the final output by modifying attributes in both positive and negative conditioning data. | `CONTROL_NET` | +| `image` | The image serving as a reference for the control net transformations. It influences the adjustments made by the control net to the conditioning data, guiding the enhancement or suppression of specific features. | `IMAGE` | +| `strength` | A scalar value determining the intensity of the control net's influence on the conditioning data. Higher values result in more pronounced adjustments. | `FLOAT` | +| `start_percent` | The starting percentage of the control net's effect, allowing for gradual application of transformations over a specified range. | `FLOAT` | +| `end_percent` | The ending percentage of the control net's effect, defining the range over which the transformations are applied. This enables more nuanced control over the adjustment process. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `positive` | `CONDITIONING` | The modified positive conditioning data after the application of control net transformations, reflecting the enhancements made based on the input parameters. | -| `negative` | `CONDITIONING` | The modified negative conditioning data after the application of control net transformations, reflecting the suppression or removal of specific features based on the input parameters. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `positive` | The modified positive conditioning data after the application of control net transformations, reflecting the enhancements made based on the input parameters. | `CONDITIONING` | +| `negative` | The modified negative conditioning data after the application of control net transformations, reflecting the suppression or removal of specific features based on the input parameters. | `CONDITIONING` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplyAdvanced/en.md) diff --git a/built-in-nodes/ControlNetApplySD3.mdx b/built-in-nodes/ControlNetApplySD3.mdx index c2e9e27f2..1f3073434 100644 --- a/built-in-nodes/ControlNetApplySD3.mdx +++ b/built-in-nodes/ControlNetApplySD3.mdx @@ -5,31 +5,31 @@ sidebarTitle: "ControlNetApplySD3" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplySD3/en.md) - This node applies ControlNet guidance to Stable Diffusion 3 conditioning. It takes positive and negative conditioning inputs along with a ControlNet model and image, then applies the control guidance with adjustable strength and timing parameters to influence the generation process. **Note:** This node has been marked as deprecated and may be removed in future versions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The positive conditioning to apply ControlNet guidance to | -| `negative` | CONDITIONING | Yes | - | The negative conditioning to apply ControlNet guidance to | -| `control_net` | CONTROL_NET | Yes | - | The ControlNet model to use for guidance | -| `vae` | VAE | Yes | - | The VAE model used in the process | -| `image` | IMAGE | Yes | - | The input image that ControlNet will use as guidance | -| `strength` | FLOAT | Yes | 0.0 - 10.0 | The strength of the ControlNet effect (default: 1.0) | -| `start_percent` | FLOAT | Yes | 0.0 - 1.0 | The starting point in the generation process where ControlNet begins to apply (default: 0.0) | -| `end_percent` | FLOAT | Yes | 0.0 - 1.0 | The ending point in the generation process where ControlNet stops applying (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning to apply ControlNet guidance to | CONDITIONING | Yes | - | +| `negative` | The negative conditioning to apply ControlNet guidance to | CONDITIONING | Yes | - | +| `control_net` | The ControlNet model to use for guidance | CONTROL_NET | Yes | - | +| `vae` | The VAE model used in the process | VAE | Yes | - | +| `image` | The input image that ControlNet will use as guidance | IMAGE | Yes | - | +| `strength` | The strength of the ControlNet effect (default: 1.0) | FLOAT | Yes | 0.0 - 10.0 | +| `start_percent` | The starting point in the generation process where ControlNet begins to apply (default: 0.0) | FLOAT | Yes | 0.0 - 1.0 | +| `end_percent` | The ending point in the generation process where ControlNet stops applying (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The modified positive conditioning with ControlNet guidance applied | -| `negative` | CONDITIONING | The modified negative conditioning with ControlNet guidance applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The modified positive conditioning with ControlNet guidance applied | CONDITIONING | +| `negative` | The modified negative conditioning with ControlNet guidance applied | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplySD3/en.md) --- **Source fingerprint (SHA-256):** `b79f03a85250f8eda6786fbdb6a96712f5fc60c9ede3b073a1cc8aef31a3f6b0` diff --git a/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx b/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx index cfa129316..7b83edf52 100644 --- a/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx +++ b/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx @@ -5,32 +5,32 @@ sidebarTitle: "ControlNetInpaintingAliMamaApply" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetInpaintingAliMamaApply/en.md) - The ControlNetInpaintingAliMamaApply node applies ControlNet conditioning for inpainting tasks by combining positive and negative conditioning with a control image and mask. It processes the input image and mask to create modified conditioning that guides the generation process, allowing for precise control over which areas of the image are inpainted. The node supports strength adjustment and timing controls to fine-tune the ControlNet's influence during different stages of the generation process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The positive conditioning that guides the generation toward desired content | -| `negative` | CONDITIONING | Yes | - | The negative conditioning that guides the generation away from unwanted content | -| `control_net` | CONTROL_NET | Yes | - | The ControlNet model that provides additional control over the generation | -| `vae` | VAE | Yes | - | The VAE (Variational Autoencoder) used for encoding and decoding images | -| `image` | IMAGE | Yes | - | The input image that serves as control guidance for the ControlNet | -| `mask` | MASK | Yes | - | The mask that defines which areas of the image should be inpainted | -| `strength` | FLOAT | Yes | 0.0 to 10.0 | The strength of the ControlNet effect (default: 1.0) | -| `start_percent` | FLOAT | Yes | 0.0 to 1.0 | The starting point (as percentage) of when ControlNet influence begins during generation (default: 0.0) | -| `end_percent` | FLOAT | Yes | 0.0 to 1.0 | The ending point (as percentage) of when ControlNet influence stops during generation (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning that guides the generation toward desired content | CONDITIONING | Yes | - | +| `negative` | The negative conditioning that guides the generation away from unwanted content | CONDITIONING | Yes | - | +| `control_net` | The ControlNet model that provides additional control over the generation | CONTROL_NET | Yes | - | +| `vae` | The VAE (Variational Autoencoder) used for encoding and decoding images | VAE | Yes | - | +| `image` | The input image that serves as control guidance for the ControlNet | IMAGE | Yes | - | +| `mask` | The mask that defines which areas of the image should be inpainted | MASK | Yes | - | +| `strength` | The strength of the ControlNet effect (default: 1.0) | FLOAT | Yes | 0.0 to 10.0 | +| `start_percent` | The starting point (as percentage) of when ControlNet influence begins during generation (default: 0.0) | FLOAT | Yes | 0.0 to 1.0 | +| `end_percent` | The ending point (as percentage) of when ControlNet influence stops during generation (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | **Note:** When the ControlNet has `concat_mask` enabled, the mask is inverted and applied to the image before processing, and the mask is included in the extra concatenation data sent to the ControlNet. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The modified positive conditioning with ControlNet applied for inpainting | -| `negative` | CONDITIONING | The modified negative conditioning with ControlNet applied for inpainting | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The modified positive conditioning with ControlNet applied for inpainting | CONDITIONING | +| `negative` | The modified negative conditioning with ControlNet applied for inpainting | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetInpaintingAliMamaApply/en.md) --- **Source fingerprint (SHA-256):** `bd44dcff4f0d06b3b81a66dd45ae57e54b72374308f75b3089e50db8de1398cd` diff --git a/built-in-nodes/ControlNetLoader.mdx b/built-in-nodes/ControlNetLoader.mdx index 1516c3e09..428f8f2f0 100644 --- a/built-in-nodes/ControlNetLoader.mdx +++ b/built-in-nodes/ControlNetLoader.mdx @@ -11,12 +11,14 @@ The ControlNetLoader node is designed to load a ControlNet model from a specifie ## Inputs -| Field | Comfy dtype | Description | -|-------------------|-------------------|-----------------------------------------------------------------------------------| -| `control_net_name`| `COMBO[STRING]` | Specifies the name of the ControlNet model to be loaded, used to locate the model file within a predefined directory structure. | +| Field | Description | Comfy dtype | +| --- | --- | --- | +| `control_net_name` | Specifies the name of the ControlNet model to be loaded, used to locate the model file within a predefined directory structure. | `COMBO[STRING]` | ## Outputs -| Field | Comfy dtype | Description | -|----------------|---------------|--------------------------------------------------------------------------| -| `control_net` | `CONTROL_NET` | Returns the loaded ControlNet model, ready for use in controlling or modifying content generation processes. | +| Field | Description | Comfy dtype | +| --- | --- | --- | +| `control_net` | Returns the loaded ControlNet model, ready for use in controlling or modifying content generation processes. | `CONTROL_NET` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetLoader/en.md) diff --git a/built-in-nodes/ConvertStringToComboNode.mdx b/built-in-nodes/ConvertStringToComboNode.mdx index a94bd1e4a..3a0b571b1 100644 --- a/built-in-nodes/ConvertStringToComboNode.mdx +++ b/built-in-nodes/ConvertStringToComboNode.mdx @@ -5,21 +5,21 @@ sidebarTitle: "ConvertStringToComboNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConvertStringToComboNode/en.md) - The Convert String to Combo node takes a text string as input and converts it into a Combo data type. This allows you to use a text value as a selection for other nodes that require a Combo input. It simply passes the string value through unchanged but changes its data type. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | Yes | N/A | The text string to be converted into a Combo type. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `string` | The text string to be converted into a Combo type. | STRING | Yes | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | COMBO | The input string, now formatted as a Combo data type. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The input string, now formatted as a Combo data type. | COMBO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConvertStringToComboNode/en.md) --- **Source fingerprint (SHA-256):** `46ca4f38a4b1054bc6c5ff5c54551fe6c8061cfb8740a3ef46b64a30a05cec05` diff --git a/built-in-nodes/CosmosImageToVideoLatent.mdx b/built-in-nodes/CosmosImageToVideoLatent.mdx index 8b33fee2c..ee416c75e 100644 --- a/built-in-nodes/CosmosImageToVideoLatent.mdx +++ b/built-in-nodes/CosmosImageToVideoLatent.mdx @@ -5,29 +5,29 @@ sidebarTitle: "CosmosImageToVideoLatent" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosImageToVideoLatent/en.md) - The CosmosImageToVideoLatent node creates video latent representations from input images. It generates a blank video latent and optionally encodes start and/or end images into the beginning and/or end frames of the video sequence. When images are provided, it also creates corresponding noise masks to indicate which parts of the latent should be preserved during generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `vae` | VAE | Yes | - | The VAE model used for encoding images into latent space | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the output video in pixels (default: 1280) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the output video in pixels (default: 704) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 121) | -| `batch_size` | INT | Yes | 1 to 4096 | The number of latent batches to generate (default: 1) | -| `start_image` | IMAGE | No | - | Optional image to encode at the beginning of the video sequence | -| `end_image` | IMAGE | No | - | Optional image to encode at the end of the video sequence | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `vae` | The VAE model used for encoding images into latent space | VAE | Yes | - | +| `width` | The width of the output video in pixels (default: 1280) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | The height of the output video in pixels (default: 704) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | The number of frames in the video sequence (default: 121) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | The number of latent batches to generate (default: 1) | INT | Yes | 1 to 4096 | +| `start_image` | Optional image to encode at the beginning of the video sequence | IMAGE | No | - | +| `end_image` | Optional image to encode at the end of the video sequence | IMAGE | No | - | **Note:** When neither `start_image` nor `end_image` are provided, the node returns a blank latent without any noise mask. When either image is provided, the corresponding sections of the latent are encoded and masked accordingly. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `latent` | LATENT | The generated video latent representation with optional encoded images and corresponding noise masks | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `latent` | The generated video latent representation with optional encoded images and corresponding noise masks | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosImageToVideoLatent/en.md) --- **Source fingerprint (SHA-256):** `4fefd1b6c38c93c260ef8376e8d69ba610a556b3c8555863016a1afd45885eaf` diff --git a/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx b/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx index d24620da3..3e63c9fb7 100644 --- a/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx +++ b/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx @@ -5,30 +5,30 @@ sidebarTitle: "CosmosPredict2ImageToVideoLatent" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosPredict2ImageToVideoLatent/en.md) - The CosmosPredict2ImageToVideoLatent node creates video latent representations from images for video generation. It can generate a blank video latent or incorporate start and end images to create video sequences with specified dimensions and duration. The node handles the encoding of images into the appropriate latent space format for video processing. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `vae` | VAE | Yes | - | The VAE model used for encoding images into latent space | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the output video in pixels (default: 848, must be divisible by 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the output video in pixels (default: 480, must be divisible by 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 93, step: 4) | -| `batch_size` | INT | Yes | 1 to 4096 | The number of video sequences to generate (default: 1) | -| `start_image` | IMAGE | No | - | Optional starting image for the video sequence | -| `end_image` | IMAGE | No | - | Optional ending image for the video sequence | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `vae` | The VAE model used for encoding images into latent space | VAE | Yes | - | +| `width` | The width of the output video in pixels (default: 848, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | The height of the output video in pixels (default: 480, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | The number of frames in the video sequence (default: 93, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | The number of video sequences to generate (default: 1) | INT | Yes | 1 to 4096 | +| `start_image` | Optional starting image for the video sequence | IMAGE | No | - | +| `end_image` | Optional ending image for the video sequence | IMAGE | No | - | **Note:** When neither `start_image` nor `end_image` are provided, the node generates a blank video latent. When images are provided, they are encoded and positioned at the beginning and/or end of the video sequence with appropriate masking. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `samples` | LATENT | The generated video latent representation containing the encoded video sequence | -| `noise_mask` | LATENT | A mask indicating which parts of the latent should be preserved during generation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `samples` | The generated video latent representation containing the encoded video sequence | LATENT | +| `noise_mask` | A mask indicating which parts of the latent should be preserved during generation | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosPredict2ImageToVideoLatent/en.md) --- **Source fingerprint (SHA-256):** `5c470c35afaa9b994b431f0a8655e108da420182ec5c223fa54ec2c233ba9fd3` diff --git a/built-in-nodes/CreateCameraInfo.mdx b/built-in-nodes/CreateCameraInfo.mdx new file mode 100644 index 000000000..87a20f4ad --- /dev/null +++ b/built-in-nodes/CreateCameraInfo.mdx @@ -0,0 +1,66 @@ +--- +title: "CreateCameraInfo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateCameraInfo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CreateCameraInfo" +icon: "circle" +mode: wide +--- +# Create Camera Info + +The Create Camera Info node builds a camera information structure for 3D rendering. It supports three modes for defining the camera: orbit (yaw/pitch/distance around a target), look_at (explicit world position), and quaternion (position plus rotation). The coordinate system is right-handed with Y as the up axis. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `mode` | How to define the camera: orbit angles, an explicit position, or a position + quaternion. | COMBO | Yes | `"orbit"`
`"look_at"`
`"quaternion"` | +| `target_x` | Look-at point (orbit pivot / aim). In orbit mode, move it to pan/translate the whole camera. Ignored in quaternion mode. Defaults to the origin. (default: 0.0) | FLOAT | No | -1000.0 to 1000.0 | +| `target_y` | Y component of the target point. (default: 0.0) | FLOAT | No | -1000.0 to 1000.0 | +| `target_z` | Z component of the target point. (default: 0.0) | FLOAT | No | -1000.0 to 1000.0 | +| `roll` | Camera roll about the view axis, in degrees. (default: 0.0) | FLOAT | No | -180.0 to 180.0 | +| `fov` | Vertical field of view in degrees. (default: 35.0) | FLOAT | No | 1.0 to 120.0 | +| `zoom` | Digital zoom (focal-length multiplier). Values greater than 1 zoom in without moving the camera. (default: 1.0) | FLOAT | No | 0.01 to 100.0 | +| `camera_type` | Projection used by Render Splat: perspective (foreshortening) or orthographic (parallel). (default: "perspective") | COMBO | No | `"perspective"`
`"orthographic"` | + +### Mode-Specific Parameters + +When `mode` is set to `"orbit"`, the following parameters become available: + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `yaw` | Horizontal rotation angle around the target. (default: 35.0) | FLOAT | Yes | -360.0 to 360.0 | +| `pitch` | Vertical rotation angle around the target. (default: 30.0) | FLOAT | Yes | -89.0 to 89.0 | +| `distance` | Camera distance from the target. (default: 4.0) | FLOAT | Yes | 0.01 to 1000.0 | + +When `mode` is set to `"look_at"`, the following parameters become available: + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `position_x` | Camera position in world space (right-handed, Y-up). (default: 4.0) | FLOAT | Yes | -1000.0 to 1000.0 | +| `position_y` | Y component of the camera position. (default: 4.0) | FLOAT | Yes | -1000.0 to 1000.0 | +| `position_z` | Z component of the camera position. (default: 4.0) | FLOAT | Yes | -1000.0 to 1000.0 | + +When `mode` is set to `"quaternion"`, the following parameters become available: + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `position_x` | Camera position in world space (right-handed, Y-up). (default: 4.0) | FLOAT | Yes | -1000.0 to 1000.0 | +| `position_y` | Y component of the camera position. (default: 4.0) | FLOAT | Yes | -1000.0 to 1000.0 | +| `position_z` | Z component of the camera position. (default: 4.0) | FLOAT | Yes | -1000.0 to 1000.0 | +| `quat_x` | X component of the camera world-rotation quaternion. (default: 0.0) | FLOAT | Yes | -1.0 to 1.0 | +| `quat_y` | Y component of the camera world-rotation quaternion. (default: 0.0) | FLOAT | Yes | -1.0 to 1.0 | +| `quat_z` | Z component of the camera world-rotation quaternion. (default: 0.0) | FLOAT | Yes | -1.0 to 1.0 | +| `quat_w` | Camera world-rotation quaternion (three.js: looks down local -Z). Normalized for you. (default: 1.0) | FLOAT | Yes | -1.0 to 1.0 | + +**Note:** The `target_x`, `target_y`, and `target_z` parameters are ignored when `mode` is set to `"quaternion"`. In `"orbit"` mode, these target parameters define the pivot point around which the camera orbits. + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `camera_info` | Camera information structure containing position, rotation, field of view, zoom, and projection type for 3D rendering. | LOAD3DCAMERA | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateCameraInfo/en.md) + +--- +**Source fingerprint (SHA-256):** `577c114130f72b753d5f15775fe05b3e1e734f5865cca32c576d042583f8e873` diff --git a/built-in-nodes/CreateHookKeyframe.mdx b/built-in-nodes/CreateHookKeyframe.mdx index 1ce60b9bd..71b39c0fe 100644 --- a/built-in-nodes/CreateHookKeyframe.mdx +++ b/built-in-nodes/CreateHookKeyframe.mdx @@ -5,23 +5,23 @@ sidebarTitle: "CreateHookKeyframe" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframe/en.md) - The Create Hook Keyframe node allows you to define specific points in a generation process where hook behavior changes. It creates keyframes that modify the strength of hooks at particular percentages of the generation progress, and these keyframes can be chained together to create complex scheduling patterns. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `strength_mult` | FLOAT | Yes | -20.0 to 20.0 | Multiplier for hook strength at this keyframe (default: 1.0) | -| `start_percent` | FLOAT | Yes | 0.0 to 1.0 | The percentage point in the generation process where this keyframe takes effect (default: 0.0) | -| `prev_hook_kf` | HOOK_KEYFRAMES | No | - | Optional previous hook keyframe group to add this keyframe to | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `strength_mult` | Multiplier for hook strength at this keyframe (default: 1.0) | FLOAT | Yes | -20.0 to 20.0 | +| `start_percent` | The percentage point in the generation process where this keyframe takes effect (default: 0.0) | FLOAT | Yes | 0.0 to 1.0 | +| `prev_hook_kf` | Optional previous hook keyframe group to add this keyframe to | HOOK_KEYFRAMES | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `HOOK_KF` | HOOK_KEYFRAMES | A group of hook keyframes including the newly created keyframe | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `HOOK_KF` | A group of hook keyframes including the newly created keyframe | HOOK_KEYFRAMES | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframe/en.md) --- **Source fingerprint (SHA-256):** `51893311a0623cafcf8c2d8af00e4005ca2fea2df9474e87d7d4b332b38435c3` diff --git a/built-in-nodes/CreateHookKeyframesFromFloats.mdx b/built-in-nodes/CreateHookKeyframesFromFloats.mdx index 8d3e2c1d4..dbd33217d 100644 --- a/built-in-nodes/CreateHookKeyframesFromFloats.mdx +++ b/built-in-nodes/CreateHookKeyframesFromFloats.mdx @@ -5,27 +5,27 @@ sidebarTitle: "CreateHookKeyframesFromFloats" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesFromFloats/en.md) - This node creates hook keyframes from a list of floating-point strength values, distributing them evenly between specified start and end percentages. It generates a sequence of keyframes where each strength value is assigned to a specific percentage position in the animation timeline. The node can either create a new keyframe group or add to an existing one, with an option to print the generated keyframes for debugging purposes. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `floats_strength` | FLOATS | Yes | -1 to ∞ | A single float value or list of float values representing strength values for the keyframes (default: -1) | -| `start_percent` | FLOAT | Yes | 0.0 to 1.0 | The starting percentage position for the first keyframe in the timeline (default: 0.0) | -| `end_percent` | FLOAT | Yes | 0.0 to 1.0 | The ending percentage position for the last keyframe in the timeline (default: 1.0) | -| `print_keyframes` | BOOLEAN | Yes | True/False | When enabled, prints the generated keyframe information to the console (default: False) | -| `prev_hook_kf` | HOOK_KEYFRAMES | No | - | An existing hook keyframe group to add the new keyframes to, or creates a new group if not provided | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `floats_strength` | A single float value or list of float values representing strength values for the keyframes (default: -1) | FLOATS | Yes | -1 to ∞ | +| `start_percent` | The starting percentage position for the first keyframe in the timeline (default: 0.0) | FLOAT | Yes | 0.0 to 1.0 | +| `end_percent` | The ending percentage position for the last keyframe in the timeline (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `print_keyframes` | When enabled, prints the generated keyframe information to the console (default: False) | BOOLEAN | Yes | True/False | +| `prev_hook_kf` | An existing hook keyframe group to add the new keyframes to, or creates a new group if not provided | HOOK_KEYFRAMES | No | - | **Note:** The `floats_strength` parameter accepts either a single float value or an iterable list of floats. The keyframes are distributed linearly between `start_percent` and `end_percent` based on the number of strength values provided. The first keyframe is guaranteed to have at least one step to ensure it is applied. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `HOOK_KF` | HOOK_KEYFRAMES | A hook keyframe group containing the newly created keyframes, either as a new group or appended to the input keyframe group | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `HOOK_KF` | A hook keyframe group containing the newly created keyframes, either as a new group or appended to the input keyframe group | HOOK_KEYFRAMES | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesFromFloats/en.md) --- **Source fingerprint (SHA-256):** `566864ec72062d913d95b38b3c53c655d4fdd971a01c4bec54669850b2feddc8` diff --git a/built-in-nodes/CreateHookKeyframesInterpolated.mdx b/built-in-nodes/CreateHookKeyframesInterpolated.mdx index 822fcbf73..e51cccce8 100644 --- a/built-in-nodes/CreateHookKeyframesInterpolated.mdx +++ b/built-in-nodes/CreateHookKeyframesInterpolated.mdx @@ -5,28 +5,28 @@ sidebarTitle: "CreateHookKeyframesInterpolated" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesInterpolated/en.md) - Creates a sequence of hook keyframes with interpolated strength values between a start and end point. The node generates multiple keyframes that smoothly transition the strength parameter across a specified percentage range of the generation process, using various interpolation methods to control the transition curve. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `strength_start` | FLOAT | Yes | 0.0 - 10.0 | The starting strength value for the interpolation sequence (default: 1.0) | -| `strength_end` | FLOAT | Yes | 0.0 - 10.0 | The ending strength value for the interpolation sequence (default: 1.0) | -| `interpolation` | COMBO | Yes | `LINEAR`
`EASE_IN`
`EASE_OUT`
`EASE_IN_OUT`
`EASE_OUT_IN`
`SINE`
`CUBIC`
`QUARTIC`
`QUINTIC`
`EXPO`
`CIRC`
`BACK`
`BOUNCE`
`ELASTIC` | The interpolation method used to transition between strength values (default: LINEAR) | -| `start_percent` | FLOAT | Yes | 0.0 - 1.0 | The starting percentage position in the generation process (default: 0.0) | -| `end_percent` | FLOAT | Yes | 0.0 - 1.0 | The ending percentage position in the generation process (default: 1.0) | -| `keyframes_count` | INT | Yes | 2 - 100 | The number of keyframes to generate in the interpolation sequence (default: 5) | -| `print_keyframes` | BOOLEAN | Yes | True/False | Whether to print generated keyframe information to the log (default: False) | -| `prev_hook_kf` | HOOK_KEYFRAMES | No | - | Optional previous hook keyframes group to append to | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `strength_start` | The starting strength value for the interpolation sequence (default: 1.0) | FLOAT | Yes | 0.0 - 10.0 | +| `strength_end` | The ending strength value for the interpolation sequence (default: 1.0) | FLOAT | Yes | 0.0 - 10.0 | +| `interpolation` | The interpolation method used to transition between strength values (default: LINEAR) | COMBO | Yes | `LINEAR`
`EASE_IN`
`EASE_OUT`
`EASE_IN_OUT`
`EASE_OUT_IN`
`SINE`
`CUBIC`
`QUARTIC`
`QUINTIC`
`EXPO`
`CIRC`
`BACK`
`BOUNCE`
`ELASTIC` | +| `start_percent` | The starting percentage position in the generation process (default: 0.0) | FLOAT | Yes | 0.0 - 1.0 | +| `end_percent` | The ending percentage position in the generation process (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `keyframes_count` | The number of keyframes to generate in the interpolation sequence (default: 5) | INT | Yes | 2 - 100 | +| `print_keyframes` | Whether to print generated keyframe information to the log (default: False) | BOOLEAN | Yes | True/False | +| `prev_hook_kf` | Optional previous hook keyframes group to append to | HOOK_KEYFRAMES | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `HOOK_KF` | HOOK_KEYFRAMES | The generated hook keyframes group containing the interpolated sequence | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `HOOK_KF` | The generated hook keyframes group containing the interpolated sequence | HOOK_KEYFRAMES | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesInterpolated/en.md) --- **Source fingerprint (SHA-256):** `f90c96745ca1f02bbb02e08d2d82be1bbb1f3c80ac5d53a4c6bc07a0e2b8d76f` diff --git a/built-in-nodes/CreateHookLora.mdx b/built-in-nodes/CreateHookLora.mdx index 30381e9c4..0f016ecff 100644 --- a/built-in-nodes/CreateHookLora.mdx +++ b/built-in-nodes/CreateHookLora.mdx @@ -5,18 +5,16 @@ sidebarTitle: "CreateHookLora" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLora/en.md) - The Create Hook LoRA node generates hook objects for applying LoRA (Low-Rank Adaptation) modifications to models. It loads a specified LoRA file and creates hooks that can adjust model and CLIP strengths, then combines these hooks with any existing hooks passed to it. The node efficiently manages LoRA loading by caching previously loaded LoRA files to avoid redundant operations. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `lora_name` | STRING | Yes | Multiple options available | The name of the LoRA file to load from the loras directory | -| `strength_model` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier for model adjustments (default: 1.0) | -| `strength_clip` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier for CLIP adjustments (default: 1.0) | -| `prev_hooks` | HOOKS | No | N/A | Optional existing hook group to combine with the new LoRA hooks | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `lora_name` | The name of the LoRA file to load from the loras directory | STRING | Yes | Multiple options available | +| `strength_model` | The strength multiplier for model adjustments (default: 1.0) | FLOAT | Yes | -20.0 to 20.0 | +| `strength_clip` | The strength multiplier for CLIP adjustments (default: 1.0) | FLOAT | Yes | -20.0 to 20.0 | +| `prev_hooks` | Optional existing hook group to combine with the new LoRA hooks | HOOKS | No | N/A | **Parameter Constraints:** @@ -25,9 +23,11 @@ The Create Hook LoRA node generates hook objects for applying LoRA (Low-Rank Ada ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `HOOKS` | HOOKS | A hook group containing the combined LoRA hooks and any previous hooks | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `HOOKS` | A hook group containing the combined LoRA hooks and any previous hooks | HOOKS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLora/en.md) --- **Source fingerprint (SHA-256):** `42d5d776bfc9b239191952e2bce23513d183f904fc3c15039469381a547486f8` diff --git a/built-in-nodes/CreateHookLoraModelOnly.mdx b/built-in-nodes/CreateHookLoraModelOnly.mdx index 2d7c0ae06..d5ffffac6 100644 --- a/built-in-nodes/CreateHookLoraModelOnly.mdx +++ b/built-in-nodes/CreateHookLoraModelOnly.mdx @@ -5,23 +5,23 @@ sidebarTitle: "CreateHookLoraModelOnly" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLoraModelOnly/en.md) - This node creates a LoRA (Low-Rank Adaptation) hook that applies only to the model component, leaving the CLIP component completely unchanged. It loads a LoRA file and applies it with a specified strength to the model while setting the CLIP strength to zero. The node can be chained with previous hooks to build complex modification pipelines. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `lora_name` | STRING | Yes | Multiple options available | The name of the LoRA file to load from the loras folder | -| `strength_model` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier for applying the LoRA to the model component (default: 1.0) | -| `prev_hooks` | HOOKS | No | - | Optional previous hooks to chain with this hook | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `lora_name` | The name of the LoRA file to load from the loras folder | STRING | Yes | Multiple options available | +| `strength_model` | The strength multiplier for applying the LoRA to the model component (default: 1.0) | FLOAT | Yes | -20.0 to 20.0 | +| `prev_hooks` | Optional previous hooks to chain with this hook | HOOKS | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `hooks` | HOOKS | The created LoRA hook that can be applied to model processing | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `hooks` | The created LoRA hook that can be applied to model processing | HOOKS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLoraModelOnly/en.md) --- **Source fingerprint (SHA-256):** `10adbdfc2e37fcf317e93130f87d9a7038d00b091cb6d1b45f4658c81632ef80` diff --git a/built-in-nodes/CreateHookModelAsLora.mdx b/built-in-nodes/CreateHookModelAsLora.mdx index 44e513bb8..2b2fe1e3a 100644 --- a/built-in-nodes/CreateHookModelAsLora.mdx +++ b/built-in-nodes/CreateHookModelAsLora.mdx @@ -5,18 +5,16 @@ sidebarTitle: "CreateHookModelAsLora" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLora/en.md) - This node creates a hook model as a LoRA (Low-Rank Adaptation) by loading checkpoint weights and applying strength adjustments to both the model and CLIP components. It allows you to apply LoRA-style modifications to existing models through a hook-based approach, enabling fine-tuning and adaptation without permanent model changes. The node can combine with previous hooks and caches loaded weights for efficiency. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `ckpt_name` | STRING | Yes | Multiple options available | The checkpoint file to load weights from (select from available checkpoints) | -| `strength_model` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier applied to the model weights (default: 1.0) | -| `strength_clip` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier applied to the CLIP weights (default: 1.0) | -| `prev_hooks` | HOOKS | No | - | Optional previous hooks to combine with the newly created LoRA hooks | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `ckpt_name` | The checkpoint file to load weights from (select from available checkpoints) | STRING | Yes | Multiple options available | +| `strength_model` | The strength multiplier applied to the model weights (default: 1.0) | FLOAT | Yes | -20.0 to 20.0 | +| `strength_clip` | The strength multiplier applied to the CLIP weights (default: 1.0) | FLOAT | Yes | -20.0 to 20.0 | +| `prev_hooks` | Optional previous hooks to combine with the newly created LoRA hooks | HOOKS | No | - | **Parameter Constraints:** @@ -27,9 +25,11 @@ This node creates a hook model as a LoRA (Low-Rank Adaptation) by loading checkp ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `HOOKS` | HOOKS | The created LoRA hooks, combined with any previous hooks if provided | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `HOOKS` | The created LoRA hooks, combined with any previous hooks if provided | HOOKS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLora/en.md) --- **Source fingerprint (SHA-256):** `8c0dd6b2e8e99e1d7dbc864aa802c0713842fb0d4ee018ea5cbedfb7896a770d` diff --git a/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx b/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx index db615d7e4..4661ecee0 100644 --- a/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx +++ b/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx @@ -5,23 +5,23 @@ sidebarTitle: "CreateHookModelAsLoraModelOnly" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLoraModelOnly/en.md) - This node creates a hook that applies a LoRA (Low-Rank Adaptation) model to modify only the model component of a neural network. It loads a checkpoint file and applies it with a specified strength to the model while leaving the CLIP component unchanged. This is an experimental node that extends the functionality of the base CreateHookModelAsLora class. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `ckpt_name` | STRING | Yes | Multiple options available | The checkpoint file to load as a LoRA model. Available options depend on the checkpoints folder contents. | -| `strength_model` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier for applying the LoRA to the model component (default: 1.0) | -| `prev_hooks` | HOOKS | No | - | Optional previous hooks to chain with this hook | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `ckpt_name` | The checkpoint file to load as a LoRA model. Available options depend on the checkpoints folder contents. | STRING | Yes | Multiple options available | +| `strength_model` | The strength multiplier for applying the LoRA to the model component (default: 1.0) | FLOAT | Yes | -20.0 to 20.0 | +| `prev_hooks` | Optional previous hooks to chain with this hook | HOOKS | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `hooks` | HOOKS | The created hook group containing the LoRA model modification | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `hooks` | The created hook group containing the LoRA model modification | HOOKS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLoraModelOnly/en.md) --- **Source fingerprint (SHA-256):** `adbeaede65aa89d48c59225ca1c8edc4c9394a364f93a00dae4a83a2270f093b` diff --git a/built-in-nodes/CreateList.mdx b/built-in-nodes/CreateList.mdx index 083fe81cb..20d832e27 100644 --- a/built-in-nodes/CreateList.mdx +++ b/built-in-nodes/CreateList.mdx @@ -5,23 +5,23 @@ sidebarTitle: "CreateList" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateList/en.md) - The Create List node combines multiple inputs into a single, sequential list. It takes any number of inputs of the same data type and concatenates them in the order they are connected. This node is useful for preparing batches of data, such as images or text, to be processed by other nodes in a workflow. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `inputs` | Varies | Yes | Any | A variable number of input slots. You can add more inputs by clicking the plus (+) icon. All inputs must be of the same data type (e.g., all IMAGE or all STRING). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `inputs` | A variable number of input slots. You can add more inputs by clicking the plus (+) icon. All inputs must be of the same data type (e.g., all IMAGE or all STRING). | Varies | Yes | Any | **Note:** The node will automatically create new input slots as you connect items. All connected inputs must share the same data type for the node to function correctly. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `list` | Varies | A single list containing all the items from the connected inputs, concatenated in the order they were provided. The output data type matches the input data type. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `list` | A single list containing all the items from the connected inputs, concatenated in the order they were provided. The output data type matches the input data type. | Varies | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateList/en.md) --- **Source fingerprint (SHA-256):** `54a099948853f76f4f9c9918e4fef8a8eff96ad66d35ab9eeefd2a419670e867` diff --git a/built-in-nodes/CreateVideo.mdx b/built-in-nodes/CreateVideo.mdx index 3bc9c91e3..e4b150cae 100644 --- a/built-in-nodes/CreateVideo.mdx +++ b/built-in-nodes/CreateVideo.mdx @@ -5,23 +5,23 @@ sidebarTitle: "CreateVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateVideo/en.md) - The Create Video node generates a video file from a sequence of images. You can specify the playback speed using frames per second and optionally add audio to the video. The node combines your images into a video format that can be played back with the specified frame rate. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | - | The images to create a video from. | -| `fps` | FLOAT | Yes | 1.0 - 120.0 | The frames per second for the video playback speed (default: 30.0). | -| `audio` | AUDIO | No | - | The audio to add to the video. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | The images to create a video from. | IMAGE | Yes | - | +| `fps` | The frames per second for the video playback speed (default: 30.0). | FLOAT | Yes | 1.0 - 120.0 | +| `audio` | The audio to add to the video. | AUDIO | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file containing the input images and optional audio. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file containing the input images and optional audio. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateVideo/en.md) --- **Source fingerprint (SHA-256):** `b3effbbc380a3841ffbedd3c9561e783bc9f9a7887edc8965c38992cb370a812` diff --git a/built-in-nodes/CropByBBoxes.mdx b/built-in-nodes/CropByBBoxes.mdx index 475b875e1..4f80c49cf 100644 --- a/built-in-nodes/CropByBBoxes.mdx +++ b/built-in-nodes/CropByBBoxes.mdx @@ -5,28 +5,28 @@ sidebarTitle: "CropByBBoxes" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropByBBoxes/en.md) - The CropByBBoxes node extracts and resizes specific rectangular regions from an input image batch. It uses provided bounding box coordinates to define the area to crop from each image. The cropped regions are then resized to a specified output dimension, with options to either stretch the crop or pad it to preserve its original aspect ratio. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input batch of images to crop. | -| `bboxes` | BOUNDINGBOX | Yes | - | The list of bounding boxes defining the regions to crop. This input is forced, meaning it must be connected. | -| `output_width` | INT | No | 64 - 4096 | The width each crop is resized to (default: 512). | -| `output_height` | INT | No | 64 - 4096 | The height each crop is resized to (default: 512). | -| `padding` | INT | No | 0 - 1024 | Extra padding in pixels added on each side of the bounding box before cropping (default: 0). | -| `keep_aspect` | COMBO | No | `"stretch"`
`"pad"` | Whether to stretch the crop to fit the output size, or pad with black pixels to preserve its aspect ratio (default: "stretch"). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input batch of images to crop. | IMAGE | Yes | - | +| `bboxes` | The list of bounding boxes defining the regions to crop. This input is forced, meaning it must be connected. | BOUNDINGBOX | Yes | - | +| `output_width` | The width each crop is resized to (default: 512). | INT | No | 64 - 4096 | +| `output_height` | The height each crop is resized to (default: 512). | INT | No | 64 - 4096 | +| `padding` | Extra padding in pixels added on each side of the bounding box before cropping (default: 0). | INT | No | 0 - 1024 | +| `keep_aspect` | Whether to stretch the crop to fit the output size, or pad with black pixels to preserve its aspect ratio (default: "stretch"). | COMBO | No | `"stretch"`
`"pad"` | **Note:** The node processes one image frame at a time. If multiple bounding boxes are provided for a single frame, it calculates a single crop region that is the union (the smallest rectangle containing all boxes) of all provided boxes. If a calculated crop region is invalid (e.g., zero width or height), the node will create a fallback crop from the center-top of the image. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | All cropped and resized regions, stacked into a single image batch. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | All cropped and resized regions, stacked into a single image batch. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropByBBoxes/en.md) --- **Source fingerprint (SHA-256):** `7524d629e61f5af2475f819bc9431d4f4173feb5ad59f9bcf81d822330fb3e22` diff --git a/built-in-nodes/CropMask.mdx b/built-in-nodes/CropMask.mdx index 4bd21801d..4064e5ec8 100644 --- a/built-in-nodes/CropMask.mdx +++ b/built-in-nodes/CropMask.mdx @@ -9,16 +9,18 @@ The CropMask node is designed for cropping a specified area from a given mask. I ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `mask` | MASK | The mask input represents the mask image to be cropped. It is essential for defining the area to be extracted based on the specified coordinates and dimensions. | -| `x` | INT | The x coordinate specifies the starting point on the horizontal axis from which the cropping should begin. | -| `y` | INT | The y coordinate determines the starting point on the vertical axis for the cropping operation. | -| `width` | INT | Width defines the horizontal extent of the crop area from the starting point. | -| `height` | INT | Height specifies the vertical extent of the crop area from the starting point. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | The mask input represents the mask image to be cropped. It is essential for defining the area to be extracted based on the specified coordinates and dimensions. | MASK | +| `x` | The x coordinate specifies the starting point on the horizontal axis from which the cropping should begin. | INT | +| `y` | The y coordinate determines the starting point on the vertical axis for the cropping operation. | INT | +| `width` | Width defines the horizontal extent of the crop area from the starting point. | INT | +| `height` | Height specifies the vertical extent of the crop area from the starting point. | INT | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `mask` | MASK | The output is a cropped mask, which is a portion of the original mask defined by the specified coordinates and dimensions. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | The output is a cropped mask, which is a portion of the original mask defined by the specified coordinates and dimensions. | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropMask/en.md) diff --git a/built-in-nodes/CurveEditor.mdx b/built-in-nodes/CurveEditor.mdx index 9ec05571a..12dd89451 100644 --- a/built-in-nodes/CurveEditor.mdx +++ b/built-in-nodes/CurveEditor.mdx @@ -5,22 +5,22 @@ sidebarTitle: "CurveEditor" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CurveEditor/en.md) - The Curve Editor node provides a visual interface for adjusting and fine-tuning a curve. It allows you to modify the shape of an input curve and optionally visualize its distribution with a histogram. The node outputs the modified curve for use in other parts of your workflow. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `curve` | CURVE | Yes | N/A | The input curve to be edited. | -| `histogram` | HISTOGRAM | No | N/A | An optional histogram to display alongside the curve for visual reference. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `curve` | The input curve to be edited. | CURVE | Yes | N/A | +| `histogram` | An optional histogram to display alongside the curve for visual reference. | HISTOGRAM | No | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `curve` | CURVE | The edited curve after adjustments have been made in the node's interface. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `curve` | The edited curve after adjustments have been made in the node's interface. | CURVE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CurveEditor/en.md) --- **Source fingerprint (SHA-256):** `7cd265b724f4b80bd6838b665254b54f1ca16f32ed0b4e072fabf856d769e11c` diff --git a/built-in-nodes/CustomCombo.mdx b/built-in-nodes/CustomCombo.mdx index b594f55f0..93be7f735 100644 --- a/built-in-nodes/CustomCombo.mdx +++ b/built-in-nodes/CustomCombo.mdx @@ -5,25 +5,25 @@ sidebarTitle: "CustomCombo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CustomCombo/en.md) - The Custom Combo node allows you to create a custom dropdown menu with your own list of text options. It is a frontend-focused node that provides a backend representation to ensure compatibility within your workflow. When you select an option from the dropdown, the node outputs that text as a string and its index position. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `choice` | COMBO | Yes | User-defined | The text option selected from the custom dropdown. The list of available options is defined by the user in the node's frontend interface. | -| `index` | INT | No | 0 | An integer value that can be used to specify an index. Default: 0. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `choice` | The text option selected from the custom dropdown. The list of available options is defined by the user in the node's frontend interface. | COMBO | Yes | User-defined | +| `index` | An integer value that can be used to specify an index. Default: 0. | INT | No | 0 | **Note:** The validation for this node's input is intentionally disabled. This allows you to define any custom text options you want in the frontend without the backend checking if your selection is from a predefined list. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `STRING` | STRING | The text string of the option selected from the custom combo box. | -| `INDEX` | INT | The index position of the selected option in the dropdown list. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `STRING` | The text string of the option selected from the custom combo box. | STRING | +| `INDEX` | The index position of the selected option in the dropdown list. | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CustomCombo/en.md) --- **Source fingerprint (SHA-256):** `1c68db3a71526d52d21f79abae146ffa235b4927961ff45db3aa075bba4e910a` diff --git a/built-in-nodes/DCTestNode.mdx b/built-in-nodes/DCTestNode.mdx index 6a48f0fdb..5c0cb9ad7 100644 --- a/built-in-nodes/DCTestNode.mdx +++ b/built-in-nodes/DCTestNode.mdx @@ -5,22 +5,20 @@ sidebarTitle: "DCTestNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DCTestNode/en.md) - The DCTestNode is a logic node that returns different types of data based on a user's selection from a dynamic combo box. It acts as a conditional router, where the chosen option determines which input field is active and what type of value the node will output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `combo` | COMBO | Yes | `"option1"`
`"option2"`
`"option3"`
`"option4"` | The main selection that determines which input field is active and what the node will output. | -| `string` | STRING | No | - | A text input field. This field is only active and required when `combo` is set to `"option1"`. | -| `integer` | INT | No | - | A whole number input field. This field is only active and required when `combo` is set to `"option2"`. | -| `image` | IMAGE | No | - | An image input field. This field is only active and required when `combo` is set to `"option3"`. | -| `subcombo` | COMBO | No | `"opt1"`
`"opt2"` | A secondary selection that appears when `combo` is set to `"option4"`. It determines which nested input fields are active. | -| `float_x` | FLOAT | No | - | A decimal number input. This field is only active and required when `combo` is set to `"option4"` and `subcombo` is set to `"opt1"`. | -| `float_y` | FLOAT | No | - | A decimal number input. This field is only active and required when `combo` is set to `"option4"` and `subcombo` is set to `"opt1"`. | -| `mask1` | MASK | No | - | A mask input field. This field is only active when `combo` is set to `"option4"` and `subcombo` is set to `"opt2"`. It is optional. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `combo` | The main selection that determines which input field is active and what the node will output. | COMBO | Yes | `"option1"`
`"option2"`
`"option3"`
`"option4"` | +| `string` | A text input field. This field is only active and required when `combo` is set to `"option1"`. | STRING | No | - | +| `integer` | A whole number input field. This field is only active and required when `combo` is set to `"option2"`. | INT | No | - | +| `image` | An image input field. This field is only active and required when `combo` is set to `"option3"`. | IMAGE | No | - | +| `subcombo` | A secondary selection that appears when `combo` is set to `"option4"`. It determines which nested input fields are active. | COMBO | No | `"opt1"`
`"opt2"` | +| `float_x` | A decimal number input. This field is only active and required when `combo` is set to `"option4"` and `subcombo` is set to `"opt1"`. | FLOAT | No | - | +| `float_y` | A decimal number input. This field is only active and required when `combo` is set to `"option4"` and `subcombo` is set to `"opt1"`. | FLOAT | No | - | +| `mask1` | A mask input field. This field is only active when `combo` is set to `"option4"` and `subcombo` is set to `"opt2"`. It is optional. | MASK | No | - | **Parameter Constraints:** @@ -29,9 +27,11 @@ The DCTestNode is a logic node that returns different types of data based on a u ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | ANYTYPE | The output depends on the selected `combo` option. It can be a STRING (`"option1"`), an INT (`"option2"`), an IMAGE (`"option3"`), or a string representation of the `subcombo` dictionary (`"option4"`). | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The output depends on the selected `combo` option. It can be a STRING (`"option1"`), an INT (`"option2"`), an IMAGE (`"option3"`), or a string representation of the `subcombo` dictionary (`"option4"`). | ANYTYPE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DCTestNode/en.md) --- **Source fingerprint (SHA-256):** `3a307bad068ef0721fff622c94337ca36fdca981c35b246ae9d5beb183be1620` diff --git a/built-in-nodes/DeprecatedCheckpointLoader.mdx b/built-in-nodes/DeprecatedCheckpointLoader.mdx index de462d9a6..c33f74b15 100644 --- a/built-in-nodes/DeprecatedCheckpointLoader.mdx +++ b/built-in-nodes/DeprecatedCheckpointLoader.mdx @@ -9,15 +9,17 @@ The CheckpointLoader node is designed for advanced loading operations, specifica ## Inputs -| Parameter | Data Type | Description | -|--------------|--------------|-------------| -| `config_name` | COMBO[STRING] | Specifies the name of the configuration file to be used. This is crucial for determining the model's parameters and settings, affecting the model's behavior and performance. | -| `ckpt_name` | COMBO[STRING] | Indicates the name of the checkpoint file to be loaded. This directly influences the state of the model being initialized, impacting its initial weights and biases. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `config_name` | Specifies the name of the configuration file to be used. This is crucial for determining the model's parameters and settings, affecting the model's behavior and performance. | COMBO[STRING] | +| `ckpt_name` | Indicates the name of the checkpoint file to be loaded. This directly influences the state of the model being initialized, impacting its initial weights and biases. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model` | MODEL | Represents the primary model loaded from the checkpoint, ready for further operations or inference. | -| `clip` | CLIP | Provides the CLIP model component, if available and requested, loaded from the checkpoint. | -| `vae` | VAE | Delivers the VAE model component, if available and requested, loaded from the checkpoint. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | Represents the primary model loaded from the checkpoint, ready for further operations or inference. | MODEL | +| `clip` | Provides the CLIP model component, if available and requested, loaded from the checkpoint. | CLIP | +| `vae` | Delivers the VAE model component, if available and requested, loaded from the checkpoint. | VAE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DeprecatedCheckpointLoader/en.md) diff --git a/built-in-nodes/DeprecatedDiffusersLoader.mdx b/built-in-nodes/DeprecatedDiffusersLoader.mdx index dde50e8e1..eac2877d0 100644 --- a/built-in-nodes/DeprecatedDiffusersLoader.mdx +++ b/built-in-nodes/DeprecatedDiffusersLoader.mdx @@ -9,14 +9,16 @@ The DiffusersLoader node is designed for loading models from the diffusers libra ## Inputs -| Parameter | Data Type | Description | -|--------------|--------------|-------------| -| `model_path` | COMBO[STRING] | Specifies the path to the model to be loaded. This path is crucial as it determines which model will be utilized for subsequent operations, affecting the output and capabilities of the node. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model_path` | Specifies the path to the model to be loaded. This path is crucial as it determines which model will be utilized for subsequent operations, affecting the output and capabilities of the node. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model` | MODEL | The loaded UNet model, which is part of the output tuple. This model is essential for image synthesis and manipulation tasks within the ComfyUI framework. | -| `clip` | CLIP | The loaded CLIP model, included in the output tuple if requested. This model enables advanced text and image understanding and manipulation capabilities. | -| `vae` | VAE | The loaded VAE model, included in the output tuple if requested. This model is crucial for tasks involving latent space manipulation and image generation. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | The loaded UNet model, which is part of the output tuple. This model is essential for image synthesis and manipulation tasks within the ComfyUI framework. | MODEL | +| `clip` | The loaded CLIP model, included in the output tuple if requested. This model enables advanced text and image understanding and manipulation capabilities. | CLIP | +| `vae` | The loaded VAE model, included in the output tuple if requested. This model is crucial for tasks involving latent space manipulation and image generation. | VAE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DeprecatedDiffusersLoader/en.md) diff --git a/built-in-nodes/DiffControlNetLoader.mdx b/built-in-nodes/DiffControlNetLoader.mdx index d64cc9881..8acdd24ea 100644 --- a/built-in-nodes/DiffControlNetLoader.mdx +++ b/built-in-nodes/DiffControlNetLoader.mdx @@ -11,13 +11,15 @@ The DiffControlNetLoader node is designed for loading differential control netwo ## Inputs -| Field | Comfy dtype | Description | -|---------------------|-------------------|---------------------------------------------------------------------------------------------| -| `model` | `MODEL` | The base model to which the differential control net will be applied, allowing for customization of the model's behavior. | -| `control_net_name` | `COMBO[STRING]` | Identifies the specific differential control net to be loaded and applied to the base model for modifying its behavior. | +| Field | Description | Comfy dtype | +| --- | --- | --- | +| `model` | The base model to which the differential control net will be applied, allowing for customization of the model's behavior. | `MODEL` | +| `control_net_name` | Identifies the specific differential control net to be loaded and applied to the base model for modifying its behavior. | `COMBO[STRING]` | ## Outputs -| Field | Comfy dtype | Description | -|----------------|---------------|-------------------------------------------------------------------------------| -| `control_net` | `CONTROL_NET` | A differential control net that has been loaded and is ready to be applied to a base model for behavior modification. | +| Field | Description | Comfy dtype | +| --- | --- | --- | +| `control_net` | A differential control net that has been loaded and is ready to be applied to a base model for behavior modification. | `CONTROL_NET` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffControlNetLoader/en.md) diff --git a/built-in-nodes/DifferentialDiffusion.mdx b/built-in-nodes/DifferentialDiffusion.mdx index eaebd5e58..83102912c 100644 --- a/built-in-nodes/DifferentialDiffusion.mdx +++ b/built-in-nodes/DifferentialDiffusion.mdx @@ -5,22 +5,22 @@ sidebarTitle: "DifferentialDiffusion" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DifferentialDiffusion/en.md) - The Differential Diffusion node modifies the denoising process by applying a binary mask based on timestep thresholds. It creates a mask that blends between the original denoise mask and a threshold-based binary mask, allowing controlled adjustment of the diffusion process strength. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model to modify | -| `strength` | FLOAT | No | 0.0 - 1.0 | Controls the blending strength between the original denoise mask and the binary threshold mask (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to modify | MODEL | Yes | - | +| `strength` | Controls the blending strength between the original denoise mask and the binary threshold mask (default: 1.0) | FLOAT | No | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified diffusion model with updated denoise mask function | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified diffusion model with updated denoise mask function | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DifferentialDiffusion/en.md) --- **Source fingerprint (SHA-256):** `26387c3e6c7ead5415b36cfc9b9eef73448527e70646ab253984ff9627f69a25` diff --git a/built-in-nodes/DiffusersLoader.mdx b/built-in-nodes/DiffusersLoader.mdx index 5a137de9f..f6b63ef64 100644 --- a/built-in-nodes/DiffusersLoader.mdx +++ b/built-in-nodes/DiffusersLoader.mdx @@ -5,23 +5,23 @@ sidebarTitle: "DiffusersLoader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffusersLoader/en.md) - The DiffusersLoader node loads pre-trained models from the diffusers format. It searches for valid diffusers model directories containing a `model_index.json` file and loads them as MODEL, CLIP, and VAE components for use in the pipeline. This node is part of the deprecated loaders category and provides compatibility with Hugging Face diffusers models. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_path` | STRING | Yes | Multiple options available
(auto-populated from diffusers folders) | The path to the diffusers model directory to load. The node automatically scans for valid diffusers models in the configured diffusers folders and lists available options. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_path` | The path to the diffusers model directory to load. The node automatically scans for valid diffusers models in the configured diffusers folders and lists available options. | STRING | Yes | Multiple options available
(auto-populated from diffusers folders) | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MODEL` | MODEL | The loaded model component from the diffusers format | -| `CLIP` | CLIP | The loaded CLIP model component from the diffusers format | -| `VAE` | VAE | The loaded VAE (Variational Autoencoder) component from the diffusers format | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MODEL` | The loaded model component from the diffusers format | MODEL | +| `CLIP` | The loaded CLIP model component from the diffusers format | CLIP | +| `VAE` | The loaded VAE (Variational Autoencoder) component from the diffusers format | VAE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffusersLoader/en.md) --- **Source fingerprint (SHA-256):** `59be9923ed76d4859d5f7217a802c43297cb5af3d895eb6713edea97a32c3db2` diff --git a/built-in-nodes/DisableNoise.mdx b/built-in-nodes/DisableNoise.mdx index 0eb039a3e..403ce2810 100644 --- a/built-in-nodes/DisableNoise.mdx +++ b/built-in-nodes/DisableNoise.mdx @@ -5,21 +5,21 @@ sidebarTitle: "DisableNoise" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DisableNoise/en.md) - The DisableNoise node provides an empty noise configuration that can be used to disable noise generation in sampling processes. It returns a special noise object that contains no noise data, allowing other nodes to skip noise-related operations when connected to this output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| *No input parameters* | - | - | - | This node does not require any input parameters. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| *No input parameters* | This node does not require any input parameters. | - | - | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `NOISE` | NOISE | Returns an empty noise configuration that can be used to disable noise generation in sampling processes. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `NOISE` | Returns an empty noise configuration that can be used to disable noise generation in sampling processes. | NOISE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DisableNoise/en.md) --- **Source fingerprint (SHA-256):** `2453a37e98083b879a91c23d6342b9420a16783b78719117a38de627800381b4` diff --git a/built-in-nodes/DrawBBoxes.mdx b/built-in-nodes/DrawBBoxes.mdx index f0e0c6d43..30930ad44 100644 --- a/built-in-nodes/DrawBBoxes.mdx +++ b/built-in-nodes/DrawBBoxes.mdx @@ -5,16 +5,14 @@ sidebarTitle: "DrawBBoxes" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DrawBBoxes/en.md) - The DrawBBoxes node visualizes object detection results by drawing bounding boxes, labels, and confidence scores onto an image. If no input image is provided, it creates a blank canvas large enough to contain all the drawn boxes. It supports batch processing, allowing you to draw different sets of detections for multiple images or repeat the same detections across a batch. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | No | - | The input image(s) to draw the bounding boxes onto. If not provided, a blank canvas will be generated. | -| `bboxes` | BOUNDINGBOX | Yes | - | A list of bounding box dictionaries. Each dictionary should contain keys for `x`, `y`, `width`, `height`, and optionally `label` and `score`. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image(s) to draw the bounding boxes onto. If not provided, a blank canvas will be generated. | IMAGE | No | - | +| `bboxes` | A list of bounding box dictionaries. Each dictionary should contain keys for `x`, `y`, `width`, `height`, and optionally `label` and `score`. | BOUNDINGBOX | Yes | - | **Input Constraints:** * The `bboxes` input is required and must be provided. @@ -24,9 +22,11 @@ The DrawBBoxes node visualizes object detection results by drawing bounding boxe ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `out_image` | IMAGE | The output image(s) with the drawn bounding boxes, labels, and confidence scores overlaid. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `out_image` | The output image(s) with the drawn bounding boxes, labels, and confidence scores overlaid. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DrawBBoxes/en.md) --- **Source fingerprint (SHA-256):** `ce5da10ec83e579515d70b7184fc78dfa04df4c514faccdcb75130212f56c84f` diff --git a/built-in-nodes/DualCFGGuider.mdx b/built-in-nodes/DualCFGGuider.mdx index 83d33f372..876ca21c1 100644 --- a/built-in-nodes/DualCFGGuider.mdx +++ b/built-in-nodes/DualCFGGuider.mdx @@ -5,27 +5,27 @@ sidebarTitle: "DualCFGGuider" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCFGGuider/en.md) - The DualCFGGuider node creates a guidance system for dual classifier-free guidance sampling. It combines two positive conditioning inputs with one negative conditioning input, applying different guidance scales to each conditioning pair to control the influence of each prompt on the generated output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to use for guidance | -| `cond1` | CONDITIONING | Yes | - | The first positive conditioning input | -| `cond2` | CONDITIONING | Yes | - | The second positive conditioning input | -| `negative` | CONDITIONING | Yes | - | The negative conditioning input | -| `cfg_conds` | FLOAT | Yes | 0.0 - 100.0 | Guidance scale for the first positive conditioning (default: 8.0) | -| `cfg_cond2_negative` | FLOAT | Yes | 0.0 - 100.0 | Guidance scale for the second positive and negative conditioning (default: 8.0) | -| `style` | COMBO | Yes | "regular"
"nested" | The guidance style to apply (default: "regular"). When set to "nested", the guidance is applied in a nested fashion | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to use for guidance | MODEL | Yes | - | +| `cond1` | The first positive conditioning input | CONDITIONING | Yes | - | +| `cond2` | The second positive conditioning input | CONDITIONING | Yes | - | +| `negative` | The negative conditioning input | CONDITIONING | Yes | - | +| `cfg_conds` | Guidance scale for the first positive conditioning (default: 8.0) | FLOAT | Yes | 0.0 - 100.0 | +| `cfg_cond2_negative` | Guidance scale for the second positive and negative conditioning (default: 8.0) | FLOAT | Yes | 0.0 - 100.0 | +| `style` | The guidance style to apply (default: "regular"). When set to "nested", the guidance is applied in a nested fashion | COMBO | Yes | "regular"
"nested" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `GUIDER` | GUIDER | A configured guidance system ready for use with sampling | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `GUIDER` | A configured guidance system ready for use with sampling | GUIDER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCFGGuider/en.md) --- **Source fingerprint (SHA-256):** `5440fb55429b8c30ef88ee0eff74c8a54916b1ce644f93d5d0d5742b5056637d` diff --git a/built-in-nodes/DualCLIPLoader.mdx b/built-in-nodes/DualCLIPLoader.mdx index 1b1d59b42..a71d26ef6 100644 --- a/built-in-nodes/DualCLIPLoader.mdx +++ b/built-in-nodes/DualCLIPLoader.mdx @@ -11,16 +11,18 @@ This node will detect models located in the `ComfyUI/models/text_encoders` folde ## Inputs -| Parameter | Comfy dtype | Description | -| ------------ | --------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| `clip_name1` | COMBO[STRING] | Specifies the name of the first CLIP model to be loaded. This parameter is crucial for identifying and retrieving the correct model from a predefined list of available CLIP models. | -| `clip_name2` | COMBO[STRING] | Specifies the name of the second CLIP model to be loaded. This parameter enables the loading of a second distinct CLIP model for comparative or integrative analysis alongside the first model. | -| `type` | `option` | Choose from "sdxl", "sd3", "flux" to adapt to different models. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `clip_name1` | Specifies the name of the first CLIP model to be loaded. This parameter is crucial for identifying and retrieving the correct model from a predefined list of available CLIP models. | COMBO[STRING] | +| `clip_name2` | Specifies the name of the second CLIP model to be loaded. This parameter enables the loading of a second distinct CLIP model for comparative or integrative analysis alongside the first model. | COMBO[STRING] | +| `type` | Choose from "sdxl", "sd3", "flux" to adapt to different models. | `option` | * The order of loading does not affect the output effect ## Outputs -| Parameter | Data Type | Description | -| --------- | ----------- | --------------------------------------------------------------------------------------------------------------------- | -| `clip` | CLIP | The output is a combined CLIP model that integrates the features or functionalities of the two specified CLIP models. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `clip` | The output is a combined CLIP model that integrates the features or functionalities of the two specified CLIP models. | CLIP | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCLIPLoader/en.md) diff --git a/built-in-nodes/DualModelGuider.mdx b/built-in-nodes/DualModelGuider.mdx new file mode 100644 index 000000000..e25a2af0b --- /dev/null +++ b/built-in-nodes/DualModelGuider.mdx @@ -0,0 +1,31 @@ +--- +title: "DualModelGuider - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DualModelGuider node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DualModelGuider" +icon: "circle" +mode: wide +--- +# Dual Model CFG Guider + +This node allows you to use two different models during the guided CFG sampling process: one model for the positive (conditional) pass and a separate model for the negative (unconditional) pass. When no negative model is provided, it behaves like a standard CFG guider using a single model. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `model` | Model used for the positive (conditional) pass. | MODEL | Yes | | +| `model_negative` | Model used for the negative (unconditional) pass. Use the same model for ordinary CFG. | MODEL | No | | +| `positive` | The positive conditioning input. | CONDITIONING | Yes | | +| `cfg` | The CFG scale value (default: 4.0). | FLOAT | Yes | 0.0 to 100.0 (step: 0.1) | +| `negative` | Negative conditioning run on the negative model. Leave unconnected for a text-free (image-only) unconditional pass. | CONDITIONING | No | | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `GUIDER` | A guider object configured with the specified models and conditioning for use in sampling. | GUIDER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualModelGuider/en.md) + +--- +**Source fingerprint (SHA-256):** `a60803156e98d2ffe975d39922dfbeacafd1a2155d88dd2e285ac1426a1e7a33` diff --git a/built-in-nodes/EasyCache.mdx b/built-in-nodes/EasyCache.mdx index ed8a959c3..1a3044c75 100644 --- a/built-in-nodes/EasyCache.mdx +++ b/built-in-nodes/EasyCache.mdx @@ -5,25 +5,25 @@ sidebarTitle: "EasyCache" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EasyCache/en.md) - The EasyCache node implements a native caching system for models to improve performance by reusing previously computed steps during the sampling process. It adds EasyCache functionality to a model with configurable thresholds for when to start and stop using the cache during the sampling timeline. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to add EasyCache to. | -| `reuse_threshold` | FLOAT | No | 0.0 - 3.0 | The threshold for reusing cached steps (default: 0.2). | -| `start_percent` | FLOAT | No | 0.0 - 1.0 | The relative sampling step to begin use of EasyCache (default: 0.15). | -| `end_percent` | FLOAT | No | 0.0 - 1.0 | The relative sampling step to end use of EasyCache (default: 0.95). | -| `verbose` | BOOLEAN | No | - | Whether to log verbose information (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to add EasyCache to. | MODEL | Yes | - | +| `reuse_threshold` | The threshold for reusing cached steps (default: 0.2). | FLOAT | No | 0.0 - 3.0 | +| `start_percent` | The relative sampling step to begin use of EasyCache (default: 0.15). | FLOAT | No | 0.0 - 1.0 | +| `end_percent` | The relative sampling step to end use of EasyCache (default: 0.95). | FLOAT | No | 0.0 - 1.0 | +| `verbose` | Whether to log verbose information (default: False). | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The model with EasyCache functionality added. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The model with EasyCache functionality added. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EasyCache/en.md) --- **Source fingerprint (SHA-256):** `c94867faae0005743a593a20d432fe3a3d01624148d0dbd1f2576df54026b2ab` diff --git a/built-in-nodes/ElevenLabsAudioIsolation.mdx b/built-in-nodes/ElevenLabsAudioIsolation.mdx index 1c2b356ed..6f68f1cc0 100644 --- a/built-in-nodes/ElevenLabsAudioIsolation.mdx +++ b/built-in-nodes/ElevenLabsAudioIsolation.mdx @@ -5,21 +5,21 @@ sidebarTitle: "ElevenLabsAudioIsolation" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/en.md) - The ElevenLabs Voice Isolation node removes background noise from an audio file, isolating the vocals or speech. It sends the audio to the ElevenLabs API for processing and returns the cleaned audio. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | | Audio to process for background noise removal. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | Audio to process for background noise removal. | AUDIO | Yes | | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The processed audio with background noise removed. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The processed audio with background noise removed. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/en.md) --- **Source fingerprint (SHA-256):** `84f1ea16911b9b1d1ab60dd75fade8cc524ac3e39d44f60a242214f14006ff1e` diff --git a/built-in-nodes/ElevenLabsInstantVoiceClone.mdx b/built-in-nodes/ElevenLabsInstantVoiceClone.mdx index c38f4a5e0..b22e75f51 100644 --- a/built-in-nodes/ElevenLabsInstantVoiceClone.mdx +++ b/built-in-nodes/ElevenLabsInstantVoiceClone.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ElevenLabsInstantVoiceClone" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md) - The ElevenLabs Instant Voice Clone node creates a new, unique voice model by analyzing 1 to 8 audio recordings of a person's voice. It sends these samples to the ElevenLabs API, which processes them to generate a voice clone that can be used for text-to-speech synthesis. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio_*` | AUDIO | Yes | 1 to 8 files | Audio recordings for voice cloning. You must provide between 1 and 8 audio files. | -| `remove_background_noise` | BOOLEAN | No | True / False | Remove background noise from voice samples using audio isolation. (default: False) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio_*` | Audio recordings for voice cloning. You must provide between 1 and 8 audio files. | AUDIO | Yes | 1 to 8 files | +| `remove_background_noise` | Remove background noise from voice samples using audio isolation. (default: False) | BOOLEAN | No | True / False | **Note:** You must provide at least one audio file, and you can provide up to eight. The node will automatically create input slots for the audio files you add. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `voice` | ELEVENLABS_VOICE | The unique identifier for the newly created cloned voice model. This output can be connected to other ElevenLabs text-to-speech nodes. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `voice` | The unique identifier for the newly created cloned voice model. This output can be connected to other ElevenLabs text-to-speech nodes. | ELEVENLABS_VOICE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md) --- **Source fingerprint (SHA-256):** `760bd99ed8382eb875ab21739346d178130b02240526308b784332a59b048d78` diff --git a/built-in-nodes/ElevenLabsSpeechToSpeech.mdx b/built-in-nodes/ElevenLabsSpeechToSpeech.mdx index 8af20bce2..20cabdca0 100644 --- a/built-in-nodes/ElevenLabsSpeechToSpeech.mdx +++ b/built-in-nodes/ElevenLabsSpeechToSpeech.mdx @@ -5,27 +5,27 @@ sidebarTitle: "ElevenLabsSpeechToSpeech" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md) - The ElevenLabs Speech to Speech node transforms an input audio file from one voice to another. It uses the ElevenLabs API to convert speech while preserving the original content and emotional tone of the audio. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `voice` | CUSTOM | Yes | - | Target voice for the transformation. Connect from Voice Selector or Instant Voice Clone. | -| `audio` | AUDIO | Yes | - | Source audio to transform. | -| `stability` | FLOAT | No | 0.0 - 1.0 | Voice stability. Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech (default: 0.5). | -| `model` | DYNAMICCOMBO | No | `eleven_multilingual_sts_v2`
`eleven_english_sts_v2` | Model to use for speech-to-speech transformation. Each option provides a specific set of voice settings (similarity_boost, style, use_speaker_boost, speed). | -| `output_format` | COMBO | No | `"mp3_44100_192"`
`"opus_48000_192"` | Audio output format (default: "mp3_44100_192"). | -| `seed` | INT | No | 0 - 4294967295 | Seed for reproducibility (default: 0). | -| `remove_background_noise` | BOOLEAN | No | - | Remove background noise from input audio using audio isolation (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `voice` | Target voice for the transformation. Connect from Voice Selector or Instant Voice Clone. | CUSTOM | Yes | - | +| `audio` | Source audio to transform. | AUDIO | Yes | - | +| `stability` | Voice stability. Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech (default: 0.5). | FLOAT | No | 0.0 - 1.0 | +| `model` | Model to use for speech-to-speech transformation. Each option provides a specific set of voice settings (similarity_boost, style, use_speaker_boost, speed). | DYNAMICCOMBO | No | `eleven_multilingual_sts_v2`
`eleven_english_sts_v2` | +| `output_format` | Audio output format (default: "mp3_44100_192"). | COMBO | No | `"mp3_44100_192"`
`"opus_48000_192"` | +| `seed` | Seed for reproducibility (default: 0). | INT | No | 0 - 4294967295 | +| `remove_background_noise` | Remove background noise from input audio using audio isolation (default: False). | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The transformed audio file in the specified output format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The transformed audio file in the specified output format. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md) --- **Source fingerprint (SHA-256):** `ef065ffa78a63398e746b52c6c8f2c336e6a4137722537c8026d292ed397a246` diff --git a/built-in-nodes/ElevenLabsSpeechToText.mdx b/built-in-nodes/ElevenLabsSpeechToText.mdx index 2a30c5a11..f0ba983de 100644 --- a/built-in-nodes/ElevenLabsSpeechToText.mdx +++ b/built-in-nodes/ElevenLabsSpeechToText.mdx @@ -5,34 +5,34 @@ sidebarTitle: "ElevenLabsSpeechToText" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/en.md) - The ElevenLabs Speech to Text node transcribes audio files into text. It uses ElevenLabs' API to convert spoken words into a written transcript, supporting features like automatic language detection, identifying different speakers, and tagging non-speech sounds like music or laughter. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | - | Audio to transcribe. | -| `model` | COMBO | Yes | `"scribe_v2"` | Model to use for transcription. Selecting this model reveals additional parameters. | -| `tag_audio_events` | BOOLEAN | No | - | Annotate sounds like (laughter), (music), etc. in transcript. This parameter is revealed when the `"scribe_v2"` model is selected. (default: False) | -| `diarize` | BOOLEAN | No | - | Annotate which speaker is talking. This parameter is revealed when the `"scribe_v2"` model is selected. (default: False) | -| `diarization_threshold` | FLOAT | No | 0.1 - 0.4 | Speaker separation sensitivity. Lower values are more sensitive to speaker changes. This parameter is revealed when the `"scribe_v2"` model is selected and `diarize` is enabled. (default: 0.22) | -| `temperature` | FLOAT | No | 0.0 - 2.0 | Randomness control. 0.0 uses model default. Higher values increase randomness. This parameter is revealed when the `"scribe_v2"` model is selected. (default: 0.0) | -| `timestamps_granularity` | COMBO | No | `"word"`
`"character"`
`"none"` | Timing precision for transcript words. This parameter is revealed when the `"scribe_v2"` model is selected. (default: "word") | -| `language_code` | STRING | No | - | ISO-639-1 or ISO-639-3 language code (e.g., 'en', 'es', 'fra'). Leave empty for automatic detection. (default: "") | -| `num_speakers` | INT | No | 0 - 32 | Maximum number of speakers to predict. Set to 0 for automatic detection. (default: 0) | -| `seed` | INT | No | 0 - 2147483647 | Seed for reproducibility (determinism not guaranteed). (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | Audio to transcribe. | AUDIO | Yes | - | +| `model` | Model to use for transcription. Selecting this model reveals additional parameters. | COMBO | Yes | `"scribe_v2"` | +| `tag_audio_events` | Annotate sounds like (laughter), (music), etc. in transcript. This parameter is revealed when the `"scribe_v2"` model is selected. (default: False) | BOOLEAN | No | - | +| `diarize` | Annotate which speaker is talking. This parameter is revealed when the `"scribe_v2"` model is selected. (default: False) | BOOLEAN | No | - | +| `diarization_threshold` | Speaker separation sensitivity. Lower values are more sensitive to speaker changes. This parameter is revealed when the `"scribe_v2"` model is selected and `diarize` is enabled. (default: 0.22) | FLOAT | No | 0.1 - 0.4 | +| `temperature` | Randomness control. 0.0 uses model default. Higher values increase randomness. This parameter is revealed when the `"scribe_v2"` model is selected. (default: 0.0) | FLOAT | No | 0.0 - 2.0 | +| `timestamps_granularity` | Timing precision for transcript words. This parameter is revealed when the `"scribe_v2"` model is selected. (default: "word") | COMBO | No | `"word"`
`"character"`
`"none"` | +| `language_code` | ISO-639-1 or ISO-639-3 language code (e.g., 'en', 'es', 'fra'). Leave empty for automatic detection. (default: "") | STRING | No | - | +| `num_speakers` | Maximum number of speakers to predict. Set to 0 for automatic detection. (default: 0) | INT | No | 0 - 32 | +| `seed` | Seed for reproducibility (determinism not guaranteed). (default: 1) | INT | No | 0 - 2147483647 | **Note:** The `num_speakers` parameter cannot be set to a value greater than 0 when the `diarize` option is enabled. You must either disable `diarize` or set `num_speakers` to 0. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `text` | STRING | The transcribed text from the audio. | -| `language_code` | STRING | The detected language code of the audio. | -| `words_json` | STRING | A JSON-formatted string containing detailed word-level information, including timestamps and speaker labels if enabled. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `text` | The transcribed text from the audio. | STRING | +| `language_code` | The detected language code of the audio. | STRING | +| `words_json` | A JSON-formatted string containing detailed word-level information, including timestamps and speaker labels if enabled. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/en.md) --- **Source fingerprint (SHA-256):** `1541ae5542b83d80cb96ab0c8694c25b2bd9d4f10c1030902064d05319b2a520` diff --git a/built-in-nodes/ElevenLabsTextToDialogue.mdx b/built-in-nodes/ElevenLabsTextToDialogue.mdx index a3c803700..169fe755f 100644 --- a/built-in-nodes/ElevenLabsTextToDialogue.mdx +++ b/built-in-nodes/ElevenLabsTextToDialogue.mdx @@ -5,29 +5,29 @@ sidebarTitle: "ElevenLabsTextToDialogue" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/en.md) - The ElevenLabs Text to Dialogue node generates a multi-speaker audio dialogue from text. It allows you to create a conversation by specifying different text lines and distinct voices for each participant. The node sends the dialogue request to the ElevenLabs API and returns the generated audio. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `stability` | FLOAT | No | 0.0 - 1.0 | Voice stability. Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech. (default: 0.5) | -| `apply_text_normalization` | COMBO | No | `"auto"`
`"on"`
`"off"` | Text normalization mode. 'auto' lets the system decide, 'on' always applies normalization, 'off' skips it. | -| `model` | COMBO | No | `"eleven_v3"` | Model to use for dialogue generation. | -| `inputs` | DYNAMICCOMBO | Yes | `"1"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"`
`"10"` | Number of dialogue entries. Selecting a number will generate that many text and voice input fields. | -| `language_code` | STRING | No | - | ISO-639-1 or ISO-639-3 language code (e.g., 'en', 'es', 'fra'). Leave empty for automatic detection. (default: empty) | -| `seed` | INT | No | 0 - 4294967295 | Seed for reproducibility. (default: 1) | -| `output_format` | COMBO | No | `"mp3_44100_192"`
`"opus_48000_192"` | Audio output format. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `stability` | Voice stability. Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech. (default: 0.5) | FLOAT | No | 0.0 - 1.0 | +| `apply_text_normalization` | Text normalization mode. 'auto' lets the system decide, 'on' always applies normalization, 'off' skips it. | COMBO | No | `"auto"`
`"on"`
`"off"` | +| `model` | Model to use for dialogue generation. | COMBO | No | `"eleven_v3"` | +| `inputs` | Number of dialogue entries. Selecting a number will generate that many text and voice input fields. | DYNAMICCOMBO | Yes | `"1"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"`
`"10"` | +| `language_code` | ISO-639-1 or ISO-639-3 language code (e.g., 'en', 'es', 'fra'). Leave empty for automatic detection. (default: empty) | STRING | No | - | +| `seed` | Seed for reproducibility. (default: 1) | INT | No | 0 - 4294967295 | +| `output_format` | Audio output format. | COMBO | No | `"mp3_44100_192"`
`"opus_48000_192"` | **Note:** The `inputs` parameter is dynamic. When you select a number (e.g., "3"), the node will display three corresponding `text` and `voice` input fields (e.g., `text1`, `voice1`, `text2`, `voice2`, `text3`, `voice3`). Each `text` field must contain at least one character. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The generated multi-speaker dialogue audio in the selected output format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The generated multi-speaker dialogue audio in the selected output format. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/en.md) --- **Source fingerprint (SHA-256):** `76eaa0ce55e1b542f4f2073405c707d686affd15202dc1adf1e1a81c542cbdb1` diff --git a/built-in-nodes/ElevenLabsTextToSoundEffects.mdx b/built-in-nodes/ElevenLabsTextToSoundEffects.mdx index 7e06e4b19..d2f3a1475 100644 --- a/built-in-nodes/ElevenLabsTextToSoundEffects.mdx +++ b/built-in-nodes/ElevenLabsTextToSoundEffects.mdx @@ -5,17 +5,15 @@ sidebarTitle: "ElevenLabsTextToSoundEffects" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/en.md) - The ElevenLabs Text to Sound Effects node generates audio sound effects from a text description. It uses the ElevenLabs API to create sound effects based on your prompt, allowing you to control the duration, looping behavior, and how closely the sound follows the text. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | Yes | N/A | Text description of the sound effect to generate. This is a required field. | -| `model` | COMBO | Yes | `"eleven_sfx_v2"` | Model to use for sound effect generation. Selecting this model reveals additional parameters: `duration` (default: 5.0, range: 0.5 to 30.0 seconds), `loop` (default: False), and `prompt_influence` (default: 0.3, range: 0.0 to 1.0). | -| `output_format` | COMBO | Yes | `"mp3_44100_192"`
`"opus_48000_192"` | Audio output format. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `text` | Text description of the sound effect to generate. This is a required field. | STRING | Yes | N/A | +| `model` | Model to use for sound effect generation. Selecting this model reveals additional parameters: `duration` (default: 5.0, range: 0.5 to 30.0 seconds), `loop` (default: False), and `prompt_influence` (default: 0.3, range: 0.0 to 1.0). | COMBO | Yes | `"eleven_sfx_v2"` | +| `output_format` | Audio output format. | COMBO | Yes | `"mp3_44100_192"`
`"opus_48000_192"` | **Parameter Details:** @@ -25,9 +23,11 @@ The ElevenLabs Text to Sound Effects node generates audio sound effects from a t ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The generated sound effect audio file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The generated sound effect audio file. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/en.md) --- **Source fingerprint (SHA-256):** `5868bfeb82c88b46587cbbce48266abd8b78ac05a24ae61a7c8dc978373c2c06` diff --git a/built-in-nodes/ElevenLabsTextToSpeech.mdx b/built-in-nodes/ElevenLabsTextToSpeech.mdx index e7379185c..39c64c742 100644 --- a/built-in-nodes/ElevenLabsTextToSpeech.mdx +++ b/built-in-nodes/ElevenLabsTextToSpeech.mdx @@ -5,22 +5,20 @@ sidebarTitle: "ElevenLabsTextToSpeech" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/en.md) - The ElevenLabs Text to Speech node converts written text into spoken audio using the ElevenLabs API. It allows you to select a specific voice and fine-tune various speech characteristics like stability, speed, and style to generate a customized audio output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `voice` | CUSTOM | Yes | N/A | Voice to use for speech synthesis. Connect from Voice Selector or Instant Voice Clone. | -| `text` | STRING | Yes | N/A | The text to convert to speech. | -| `stability` | FLOAT | No | 0.0 - 1.0 | Voice stability. Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech (default: 0.5). | -| `apply_text_normalization` | COMBO | No | `"auto"`
`"on"`
`"off"` | Text normalization mode. 'auto' lets the system decide, 'on' always applies normalization, 'off' skips it. | -| `model` | DYNAMICCOMBO | No | `"eleven_multilingual_v2"`
`"eleven_v3"` | Model to use for text-to-speech. Selecting a model reveals its specific parameters. | -| `language_code` | STRING | No | N/A | ISO-639-1 or ISO-639-3 language code (e.g., 'en', 'es', 'fra'). Leave empty for automatic detection (default: ""). | -| `seed` | INT | No | 0 - 2147483647 | Seed for reproducibility (determinism not guaranteed) (default: 1). | -| `output_format` | COMBO | No | `"mp3_44100_192"`
`"opus_48000_192"` | Audio output format. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `voice` | Voice to use for speech synthesis. Connect from Voice Selector or Instant Voice Clone. | CUSTOM | Yes | N/A | +| `text` | The text to convert to speech. | STRING | Yes | N/A | +| `stability` | Voice stability. Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech (default: 0.5). | FLOAT | No | 0.0 - 1.0 | +| `apply_text_normalization` | Text normalization mode. 'auto' lets the system decide, 'on' always applies normalization, 'off' skips it. | COMBO | No | `"auto"`
`"on"`
`"off"` | +| `model` | Model to use for text-to-speech. Selecting a model reveals its specific parameters. | DYNAMICCOMBO | No | `"eleven_multilingual_v2"`
`"eleven_v3"` | +| `language_code` | ISO-639-1 or ISO-639-3 language code (e.g., 'en', 'es', 'fra'). Leave empty for automatic detection (default: ""). | STRING | No | N/A | +| `seed` | Seed for reproducibility (determinism not guaranteed) (default: 1). | INT | No | 0 - 2147483647 | +| `output_format` | Audio output format. | COMBO | No | `"mp3_44100_192"`
`"opus_48000_192"` | **Model-Specific Parameters:** When the `model` parameter is set to `"eleven_multilingual_v2"`, the following additional parameters become available: @@ -37,9 +35,11 @@ When the `model` parameter is set to `"eleven_v3"`, the following additional par ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The generated audio from the text-to-speech conversion. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The generated audio from the text-to-speech conversion. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/en.md) --- **Source fingerprint (SHA-256):** `0cd570fbb152e07ba028e96df56abc08dde8941d043386fd076f42a1e1dc6016` diff --git a/built-in-nodes/ElevenLabsVoiceSelector.mdx b/built-in-nodes/ElevenLabsVoiceSelector.mdx index a6e0ef705..af71f67fb 100644 --- a/built-in-nodes/ElevenLabsVoiceSelector.mdx +++ b/built-in-nodes/ElevenLabsVoiceSelector.mdx @@ -5,21 +5,21 @@ sidebarTitle: "ElevenLabsVoiceSelector" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/en.md) - The ElevenLabs Voice Selector node allows you to choose a specific voice from a predefined list of ElevenLabs text-to-speech voices. It takes a voice name as input and outputs the corresponding voice identifier needed for audio generation. This node simplifies the process of selecting a compatible voice for use with other ElevenLabs audio nodes. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `voice` | STRING | Yes | `"Adam (male, american)"`
`"Antoni (male, british)"`
`"Arnold (male, american)"`
`"Bella (female, american)"`
`"Domi (female, american)"`
`"Elli (female, american)"`
`"Josh (male, american)"`
`"Rachel (female, american)"`
`"Sam (male, american)"` | Choose a voice from the predefined ElevenLabs voices. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `voice` | Choose a voice from the predefined ElevenLabs voices. | STRING | Yes | `"Adam (male, american)"`
`"Antoni (male, british)"`
`"Arnold (male, american)"`
`"Bella (female, american)"`
`"Domi (female, american)"`
`"Elli (female, american)"`
`"Josh (male, american)"`
`"Rachel (female, american)"`
`"Sam (male, american)"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `voice` | STRING | The unique identifier for the selected ElevenLabs voice, which can be passed to other nodes for text-to-speech generation. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `voice` | The unique identifier for the selected ElevenLabs voice, which can be passed to other nodes for text-to-speech generation. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/en.md) --- **Source fingerprint (SHA-256):** `47adf5da14e65749c16ada389331c380a1e3a18ecc6f366c32d84ffe7c34990a` diff --git a/built-in-nodes/EmptyARVideoLatent.mdx b/built-in-nodes/EmptyARVideoLatent.mdx index 2b85ec422..cef922b2c 100644 --- a/built-in-nodes/EmptyARVideoLatent.mdx +++ b/built-in-nodes/EmptyARVideoLatent.mdx @@ -5,26 +5,26 @@ sidebarTitle: "EmptyARVideoLatent" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyARVideoLatent/en.md) - ## Overview The EmptyARVideoLatent node creates a blank, empty latent representation for video generation. It is used to initialize a video generation process by providing a tensor of zeros with the specified dimensions, aspect ratio, and length. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | 16 to 8192 (step: 16) | The width of the video frames in pixels (default: 832) | -| `height` | INT | Yes | 16 to 8192 (step: 16) | The height of the video frames in pixels (default: 480) | -| `length` | INT | Yes | 1 to 1024 (step: 4) | The number of frames in the video (default: 81) | -| `batch_size` | INT | Yes | 1 to 64 | The number of videos to generate in a single batch (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width of the video frames in pixels (default: 832) | INT | Yes | 16 to 8192 (step: 16) | +| `height` | The height of the video frames in pixels (default: 480) | INT | Yes | 16 to 8192 (step: 16) | +| `length` | The number of frames in the video (default: 81) | INT | Yes | 1 to 1024 (step: 4) | +| `batch_size` | The number of videos to generate in a single batch (default: 1) | INT | Yes | 1 to 64 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `LATENT` | LATENT | A latent tensor filled with zeros, representing an empty video latent space with the specified dimensions, length, and batch size. The tensor shape is [batch_size, 16, lat_t, height/8, width/8], where lat_t is calculated from the length. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `LATENT` | A latent tensor filled with zeros, representing an empty video latent space with the specified dimensions, length, and batch size. The tensor shape is [batch_size, 16, lat_t, height/8, width/8], where lat_t is calculated from the length. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyARVideoLatent/en.md) --- **Source fingerprint (SHA-256):** `b36c40d768e846bc67ed6a7bfb4145c6e2a4ca55824296250a88f52d5ae305cf` diff --git a/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx b/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx index 247e08b16..5c563d5e8 100644 --- a/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx +++ b/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx @@ -5,22 +5,22 @@ sidebarTitle: "EmptyAceStep1.5LatentAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStep1.5LatentAudio/en.md) - The Empty Ace Step 1.5 Latent Audio node creates an empty latent tensor designed for audio processing. It generates a silent audio latent of a specified duration and batch size, which can be used as a starting point for audio generation workflows in ComfyUI. The node calculates the latent length based on the input seconds and a fixed sample rate. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `seconds` | FLOAT | Yes | 1.0 - 1000.0 | The duration of the audio to generate, in seconds (default: 120.0). | -| `batch_size` | INT | Yes | 1 - 4096 | The number of latent images in the batch (default: 1). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `seconds` | The duration of the audio to generate, in seconds (default: 120.0). | FLOAT | Yes | 1.0 - 1000.0 | +| `batch_size` | The number of latent images in the batch (default: 1). | INT | Yes | 1 - 4096 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `LATENT` | LATENT | An empty latent tensor representing silent audio, with a type identifier of "audio". The output also includes a `downscale_ratio_temporal` value of 1764, which is used for temporal downscaling in audio processing. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `LATENT` | An empty latent tensor representing silent audio, with a type identifier of "audio". The output also includes a `downscale_ratio_temporal` value of 1764, which is used for temporal downscaling in audio processing. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStep1.5LatentAudio/en.md) --- **Source fingerprint (SHA-256):** `dc87da02daa14d19afb0a1b421ee87fdcaf53d5a1e5f5175bfcc8e9fbcd7fa48` diff --git a/built-in-nodes/EmptyAceStepLatentAudio.mdx b/built-in-nodes/EmptyAceStepLatentAudio.mdx index 9d457bc05..81e52889b 100644 --- a/built-in-nodes/EmptyAceStepLatentAudio.mdx +++ b/built-in-nodes/EmptyAceStepLatentAudio.mdx @@ -5,22 +5,22 @@ sidebarTitle: "EmptyAceStepLatentAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/en.md) - The EmptyAceStepLatentAudio node creates empty latent audio samples of a specified duration. It generates a batch of silent audio latents filled with zeros, where the length is calculated based on the input seconds and audio processing parameters. This node is useful for initializing audio processing workflows that require latent representations. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `seconds` | FLOAT | Yes | 1.0 - 1000.0 | The duration of the audio in seconds (default: 120.0) | -| `batch_size` | INT | Yes | 1 - 4096 | The number of latent images in the batch (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `seconds` | The duration of the audio in seconds (default: 120.0) | FLOAT | Yes | 1.0 - 1000.0 | +| `batch_size` | The number of latent images in the batch (default: 1) | INT | Yes | 1 - 4096 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | LATENT | Returns empty latent audio samples with zeros. The output contains a `samples` tensor and a `type` field set to "audio". | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | Returns empty latent audio samples with zeros. The output contains a `samples` tensor and a `type` field set to "audio". | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/en.md) --- **Source fingerprint (SHA-256):** `be20317ed22bf89eeb35a31de0177842f366105da8653e6d7af71241a84967a0` diff --git a/built-in-nodes/EmptyAudio.mdx b/built-in-nodes/EmptyAudio.mdx index b7bc85a7f..d3f33b2e0 100644 --- a/built-in-nodes/EmptyAudio.mdx +++ b/built-in-nodes/EmptyAudio.mdx @@ -5,23 +5,23 @@ sidebarTitle: "EmptyAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAudio/en.md) - The EmptyAudio node generates a silent audio clip with specified duration, sample rate, and channel configuration. It creates a waveform containing all zeros, producing complete silence for the given duration. This node is useful for creating placeholder audio or generating silent segments in audio workflows. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `duration` | FLOAT | Yes | 0.0 to 1.8446744073709552e+19 | Duration of the empty audio clip in seconds (default: 60.0) | -| `sample_rate` | INT | Yes | 1 to 192000 | Sample rate of the empty audio clip (default: 44100) | -| `channels` | INT | Yes | 1 to 2 | Number of audio channels (1 for mono, 2 for stereo) (default: 2) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `duration` | Duration of the empty audio clip in seconds (default: 60.0) | FLOAT | Yes | 0.0 to 1.8446744073709552e+19 | +| `sample_rate` | Sample rate of the empty audio clip (default: 44100) | INT | Yes | 1 to 192000 | +| `channels` | Number of audio channels (1 for mono, 2 for stereo) (default: 2) | INT | Yes | 1 to 2 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `AUDIO` | AUDIO | The generated silent audio clip containing waveform data and sample rate information | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `AUDIO` | The generated silent audio clip containing waveform data and sample rate information | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAudio/en.md) --- **Source fingerprint (SHA-256):** `687bfe02cb0192add9128ae9040fa5773be0d7a0a5df17618cf56050901c6dc5` diff --git a/built-in-nodes/EmptyChromaRadianceLatentImage.mdx b/built-in-nodes/EmptyChromaRadianceLatentImage.mdx index 3ef144f6e..c4e85f5ec 100644 --- a/built-in-nodes/EmptyChromaRadianceLatentImage.mdx +++ b/built-in-nodes/EmptyChromaRadianceLatentImage.mdx @@ -5,23 +5,23 @@ sidebarTitle: "EmptyChromaRadianceLatentImage" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyChromaRadianceLatentImage/en.md) - The EmptyChromaRadianceLatentImage node creates a blank latent image with specified dimensions for use in chroma radiance workflows. It generates a tensor filled with zeros that serves as a starting point for latent space operations. The node allows you to define the width, height, and batch size of the empty latent image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the latent image in pixels (default: 1024, must be divisible by 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the latent image in pixels (default: 1024, must be divisible by 16) | -| `batch_size` | INT | No | 1 to 4096 | The number of latent images to generate in a batch (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width of the latent image in pixels (default: 1024, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | The height of the latent image in pixels (default: 1024, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `batch_size` | The number of latent images to generate in a batch (default: 1) | INT | No | 1 to 4096 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `samples` | LATENT | The generated empty latent image tensor with specified dimensions | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `samples` | The generated empty latent image tensor with specified dimensions | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyChromaRadianceLatentImage/en.md) --- **Source fingerprint (SHA-256):** `15f4d3f9803aa3242b07ff4f49946e1f1f409512af07cffe5495e9ce09c587dd` diff --git a/built-in-nodes/EmptyCosmosLatentVideo.mdx b/built-in-nodes/EmptyCosmosLatentVideo.mdx index 01e0fd94f..c12714e99 100644 --- a/built-in-nodes/EmptyCosmosLatentVideo.mdx +++ b/built-in-nodes/EmptyCosmosLatentVideo.mdx @@ -5,24 +5,24 @@ sidebarTitle: "EmptyCosmosLatentVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyCosmosLatentVideo/en.md) - The EmptyCosmosLatentVideo node creates an empty latent video tensor with specified dimensions. It generates a zero-filled latent representation that can be used as a starting point for video generation workflows, with configurable width, height, length, and batch size parameters. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the latent video in pixels (default: 1280, must be divisible by 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the latent video in pixels (default: 704, must be divisible by 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the latent video (default: 121, must be divisible by 8) | -| `batch_size` | INT | No | 1 to 4096 | The number of latent videos to generate in a batch (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width of the latent video in pixels (default: 1280, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | The height of the latent video in pixels (default: 704, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | The number of frames in the latent video (default: 121, must be divisible by 8) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | The number of latent videos to generate in a batch (default: 1) | INT | No | 1 to 4096 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `samples` | LATENT | The generated empty latent video tensor with zero values | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `samples` | The generated empty latent video tensor with zero values | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyCosmosLatentVideo/en.md) --- **Source fingerprint (SHA-256):** `ed7404f31b4b9fb2c098579f8e96e55befb3c8ed045d4175385d01a7b42035e2` diff --git a/built-in-nodes/EmptyFlux2LatentImage.mdx b/built-in-nodes/EmptyFlux2LatentImage.mdx index b96276244..f7bc45c93 100644 --- a/built-in-nodes/EmptyFlux2LatentImage.mdx +++ b/built-in-nodes/EmptyFlux2LatentImage.mdx @@ -5,25 +5,25 @@ sidebarTitle: "EmptyFlux2LatentImage" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyFlux2LatentImage/en.md) - The EmptyFlux2LatentImage node creates a blank, empty latent representation. It generates a tensor filled with zeros, which serves as a starting point for the Flux model's denoising process. The dimensions of the latent are determined by the input width and height, scaled down by a factor of 16. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | 16 to 8192 | The width of the final image to generate. The latent width will be this value divided by 16. The default value is 1024. | -| `height` | INT | Yes | 16 to 8192 | The height of the final image to generate. The latent height will be this value divided by 16. The default value is 1024. | -| `batch_size` | INT | No | 1 to 4096 | The number of latent samples to generate in a single batch. The default value is 1. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width of the final image to generate. The latent width will be this value divided by 16. The default value is 1024. | INT | Yes | 16 to 8192 | +| `height` | The height of the final image to generate. The latent height will be this value divided by 16. The default value is 1024. | INT | Yes | 16 to 8192 | +| `batch_size` | The number of latent samples to generate in a single batch. The default value is 1. | INT | No | 1 to 4096 | **Note:** The `width` and `height` inputs must be divisible by 16, as the node internally divides them by this factor to create the latent dimensions. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `samples` | LATENT | A latent tensor filled with zeros. The shape is `[batch_size, 128, height // 16, width // 16]`. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `samples` | A latent tensor filled with zeros. The shape is `[batch_size, 128, height // 16, width // 16]`. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyFlux2LatentImage/en.md) --- **Source fingerprint (SHA-256):** `337c687b6b3ebb8854618911ab966118940de369ed84bc9c4ed769289b397588` diff --git a/built-in-nodes/EmptyHiDreamO1LatentImage.mdx b/built-in-nodes/EmptyHiDreamO1LatentImage.mdx index ef21f6f45..b55e18f51 100644 --- a/built-in-nodes/EmptyHiDreamO1LatentImage.mdx +++ b/built-in-nodes/EmptyHiDreamO1LatentImage.mdx @@ -5,30 +5,30 @@ sidebarTitle: "EmptyHiDreamO1LatentImage" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/en.md) - ## Overview This node creates an empty latent image in pixel space, specifically designed for the HiDream-O1-Image model. It generates a blank tensor of zeros that serves as the starting point for image generation, with dimensions defined by the width, height, and batch size inputs. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | 64 to 4096 (step: 32) | The width of the latent image in pixels (default: 2048). The model was trained at ~4 megapixels; lower resolutions go off-distribution and quality regresses noticeably. | -| `height` | INT | Yes | 64 to 4096 (step: 32) | The height of the latent image in pixels (default: 2048). The model was trained at ~4 megapixels; lower resolutions go off-distribution and quality regresses noticeably. | -| `batch_size` | INT | No | 1 to 64 | The number of latent images to generate in a single batch (default: 1). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width of the latent image in pixels (default: 2048). The model was trained at ~4 megapixels; lower resolutions go off-distribution and quality regresses noticeably. | INT | Yes | 64 to 4096 (step: 32) | +| `height` | The height of the latent image in pixels (default: 2048). The model was trained at ~4 megapixels; lower resolutions go off-distribution and quality regresses noticeably. | INT | Yes | 64 to 4096 (step: 32) | +| `batch_size` | The number of latent images to generate in a single batch (default: 1). | INT | No | 1 to 64 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `samples` | LATENT | A tensor filled with zeros representing the empty latent image, with shape (batch_size, 3, height, width). | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `samples` | A tensor filled with zeros representing the empty latent image, with shape (batch_size, 3, height, width). | LATENT | ## Notes - The HiDream-O1-Image model was trained at approximately 4 megapixels. Using significantly lower resolutions may result in reduced image quality. - Trained resolutions include: 2048x2048, 2304x1728, 1728x2304, 2560x1440, 1440x2560, 2496x1664, 1664x2496, 3104x1312, 1312x3104, 2304x1792, 1792x2304. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/en.md) + --- **Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e` diff --git a/built-in-nodes/EmptyHunyuanImageLatent.mdx b/built-in-nodes/EmptyHunyuanImageLatent.mdx index ce4cae588..7eb8a94f5 100644 --- a/built-in-nodes/EmptyHunyuanImageLatent.mdx +++ b/built-in-nodes/EmptyHunyuanImageLatent.mdx @@ -5,23 +5,23 @@ sidebarTitle: "EmptyHunyuanImageLatent" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanImageLatent/en.md) - The EmptyHunyuanImageLatent node creates an empty latent tensor with specific dimensions for use with Hunyuan image generation models. It generates a blank starting point that can be processed through subsequent nodes in the workflow. The node allows you to specify the width, height, and batch size of the latent space. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | 64 to MAX_RESOLUTION | The width of the generated latent image in pixels (default: 2048, step: 32) | -| `height` | INT | Yes | 64 to MAX_RESOLUTION | The height of the generated latent image in pixels (default: 2048, step: 32) | -| `batch_size` | INT | Yes | 1 to 4096 | The number of latent samples to generate in a batch (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width of the generated latent image in pixels (default: 2048, step: 32) | INT | Yes | 64 to MAX_RESOLUTION | +| `height` | The height of the generated latent image in pixels (default: 2048, step: 32) | INT | Yes | 64 to MAX_RESOLUTION | +| `batch_size` | The number of latent samples to generate in a batch (default: 1) | INT | Yes | 1 to 4096 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `LATENT` | LATENT | An empty latent tensor with the specified dimensions for Hunyuan image processing | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `LATENT` | An empty latent tensor with the specified dimensions for Hunyuan image processing | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanImageLatent/en.md) --- **Source fingerprint (SHA-256):** `990878294736fcc89f4435127a81e9eec390d58640694ab35789ed7f578692a1` diff --git a/built-in-nodes/EmptyHunyuanLatentVideo.mdx b/built-in-nodes/EmptyHunyuanLatentVideo.mdx index 5c47490d5..fe770f6ae 100644 --- a/built-in-nodes/EmptyHunyuanLatentVideo.mdx +++ b/built-in-nodes/EmptyHunyuanLatentVideo.mdx @@ -9,15 +9,17 @@ The `EmptyHunyuanLatentVideo` node is similar to the `EmptyLatentImage` node. Yo ## Inputs -| Parameter | Comfy Type | Description | -| ----------- | ---------- | ------------------------------------------------------------------------------------------ | -| `width` | `INT` | Video width, default 848, minimum 16, maximum `nodes.MAX_RESOLUTION`, step size 16. | -| `height` | `INT` | Video height, default 480, minimum 16, maximum `nodes.MAX_RESOLUTION`, step size 16. | -| `length` | `INT` | Video length, default 25, minimum 1, maximum `nodes.MAX_RESOLUTION`, step size 4. | -| `batch_size`| `INT` | Batch size, default 1, minimum 1, maximum 4096. | +| Parameter | Description | Comfy Type | +| --- | --- | --- | +| `width` | Video width, default 848, minimum 16, maximum `nodes.MAX_RESOLUTION`, step size 16. | `INT` | +| `height` | Video height, default 480, minimum 16, maximum `nodes.MAX_RESOLUTION`, step size 16. | `INT` | +| `length` | Video length, default 25, minimum 1, maximum `nodes.MAX_RESOLUTION`, step size 4. | `INT` | +| `batch_size` | Batch size, default 1, minimum 1, maximum 4096. | `INT` | ## Outputs -| Parameter | Comfy Type | Description | -| --------- | ---------- | ----------------------------------------------------------------------------------------- | -| `samples` | `LATENT` | Generated latent video samples containing zero tensors, ready for processing and generation tasks. | +| Parameter | Description | Comfy Type | +| --- | --- | --- | +| `samples` | Generated latent video samples containing zero tensors, ready for processing and generation tasks. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanLatentVideo/en.md) diff --git a/built-in-nodes/EmptyHunyuanVideo15Latent.mdx b/built-in-nodes/EmptyHunyuanVideo15Latent.mdx index c6cddfbb2..15e3187d4 100644 --- a/built-in-nodes/EmptyHunyuanVideo15Latent.mdx +++ b/built-in-nodes/EmptyHunyuanVideo15Latent.mdx @@ -5,26 +5,26 @@ sidebarTitle: "EmptyHunyuanVideo15Latent" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/en.md) - This node creates an empty latent tensor specifically formatted for use with the HunyuanVideo 1.5 model. It generates a blank starting point for video generation by allocating a tensor of zeros with the correct channel count and spatial dimensions for the model's latent space. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | - | The width of the video frame in pixels. | -| `height` | INT | Yes | - | The height of the video frame in pixels. | -| `length` | INT | Yes | - | The number of frames in the video sequence. | -| `batch_size` | INT | No | - | The number of video samples to generate in a batch (default: 1). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width of the video frame in pixels. | INT | Yes | - | +| `height` | The height of the video frame in pixels. | INT | Yes | - | +| `length` | The number of frames in the video sequence. | INT | Yes | - | +| `batch_size` | The number of video samples to generate in a batch (default: 1). | INT | No | - | **Note:** The spatial dimensions of the generated latent tensor are calculated by dividing the input `width` and `height` by 16. The temporal dimension (frames) is calculated as `((length - 1) // 4) + 1`. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `samples` | LATENT | An empty latent tensor with dimensions suitable for the HunyuanVideo 1.5 model. The tensor has a shape of `[batch_size, 32, frames, height//16, width//16]`. The output also includes a `downscale_ratio_spacial` value of 16. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `samples` | An empty latent tensor with dimensions suitable for the HunyuanVideo 1.5 model. The tensor has a shape of `[batch_size, 32, frames, height//16, width//16]`. The output also includes a `downscale_ratio_spacial` value of 16. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/en.md) --- **Source fingerprint (SHA-256):** `6f53c99967149dd7c92e4d20a4ee80bd23d856ebab0a14a8201c55db847a525e` diff --git a/built-in-nodes/EmptyImage.mdx b/built-in-nodes/EmptyImage.mdx index 327509e9e..77ac195dc 100644 --- a/built-in-nodes/EmptyImage.mdx +++ b/built-in-nodes/EmptyImage.mdx @@ -15,18 +15,18 @@ Just like a painter preparing a blank canvas before starting to create, the Empt ## Inputs -| Parameter Name | Data Type | Description | -|----------------|-----------|-------------| -| `width` | INT | Sets the width of the generated image (in pixels), determining the horizontal dimensions of the canvas | -| `height` | INT | Sets the height of the generated image (in pixels), determining the vertical dimensions of the canvas | -| `batch_size` | INT | The number of images to generate at once, used for batch creation of images with the same specifications | -| `color` | INT | The background color of the image. You can input hexadecimal color settings, which will be automatically converted to decimal | +| Parameter Name | Description | Data Type | +| --- | --- | --- | +| `width` | Sets the width of the generated image (in pixels), determining the horizontal dimensions of the canvas | INT | +| `height` | Sets the height of the generated image (in pixels), determining the vertical dimensions of the canvas | INT | +| `batch_size` | The number of images to generate at once, used for batch creation of images with the same specifications | INT | +| `color` | The background color of the image. You can input hexadecimal color settings, which will be automatically converted to decimal | INT | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The generated blank image tensor, formatted as [batch_size, height, width, 3], containing RGB three color channels | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The generated blank image tensor, formatted as [batch_size, height, width, 3], containing RGB three color channels | IMAGE | ## Common Color Reference Values @@ -54,3 +54,5 @@ Since the current color input for this node is not user-friendly, with all color | Gold | 0xFFD700 | | Silver | 0xC0C0C0 | | Beige | 0xF5F5DC | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyImage/en.md) diff --git a/built-in-nodes/EmptyLTXVLatentVideo.mdx b/built-in-nodes/EmptyLTXVLatentVideo.mdx index a8689cced..539167f2e 100644 --- a/built-in-nodes/EmptyLTXVLatentVideo.mdx +++ b/built-in-nodes/EmptyLTXVLatentVideo.mdx @@ -5,24 +5,24 @@ sidebarTitle: "EmptyLTXVLatentVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLTXVLatentVideo/en.md) - The EmptyLTXVLatentVideo node creates an empty latent tensor for video processing. It generates a blank starting point with specified dimensions that can be used as input for video generation workflows. The node produces a zero-filled latent representation with the configured width, height, length, and batch size. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | 64 to MAX_RESOLUTION | The width of the latent video tensor (default: 768, step: 32) | -| `height` | INT | Yes | 64 to MAX_RESOLUTION | The height of the latent video tensor (default: 512, step: 32) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the latent video (default: 97, step: 8) | -| `batch_size` | INT | No | 1 to 4096 | The number of latent videos to generate in a batch (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width of the latent video tensor (default: 768, step: 32) | INT | Yes | 64 to MAX_RESOLUTION | +| `height` | The height of the latent video tensor (default: 512, step: 32) | INT | Yes | 64 to MAX_RESOLUTION | +| `length` | The number of frames in the latent video (default: 97, step: 8) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | The number of latent videos to generate in a batch (default: 1) | INT | No | 1 to 4096 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `samples` | LATENT | The generated empty latent tensor with zero values in the specified dimensions | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `samples` | The generated empty latent tensor with zero values in the specified dimensions | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLTXVLatentVideo/en.md) --- **Source fingerprint (SHA-256):** `177fa1014ba65feab06a6f7bafc72e1cc536d3dc01f5bebddceb9f15f8df99fd` diff --git a/built-in-nodes/EmptyLatentAudio.mdx b/built-in-nodes/EmptyLatentAudio.mdx index 06b4b3583..c148fa12e 100644 --- a/built-in-nodes/EmptyLatentAudio.mdx +++ b/built-in-nodes/EmptyLatentAudio.mdx @@ -5,22 +5,22 @@ sidebarTitle: "EmptyLatentAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentAudio/en.md) - The EmptyLatentAudio node creates an empty latent tensor for audio processing. It generates a blank audio latent representation with a specified duration and batch size, which can be used as a starting point for audio generation or processing workflows. The node automatically calculates the appropriate latent dimensions based on the audio duration and sample rate. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `seconds` | FLOAT | Yes | 1.0 - 1000.0 | The duration of the audio in seconds (default: 47.6) | -| `batch_size` | INT | Yes | 1 - 4096 | The number of latent images in the batch (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `seconds` | The duration of the audio in seconds (default: 47.6) | FLOAT | Yes | 1.0 - 1000.0 | +| `batch_size` | The number of latent images in the batch (default: 1) | INT | Yes | 1 - 4096 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `LATENT` | LATENT | Returns an empty latent tensor for audio processing with the specified duration and batch size. The tensor has a shape of [batch_size, 64, length], where length is calculated from the audio duration and sample rate. The output also includes metadata indicating the type is "audio" and a temporal downscale ratio of 2048. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `LATENT` | Returns an empty latent tensor for audio processing with the specified duration and batch size. The tensor has a shape of [batch_size, 64, length], where length is calculated from the audio duration and sample rate. The output also includes metadata indicating the type is "audio" and a temporal downscale ratio of 2048. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentAudio/en.md) --- **Source fingerprint (SHA-256):** `02d7623358a6cc8200e74ab36f6a83bcfa059abd6ef91e3fd1c3732706926033` diff --git a/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx b/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx index 3cbd77ffd..3730c9525 100644 --- a/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx +++ b/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx @@ -5,22 +5,22 @@ sidebarTitle: "EmptyLatentHunyuan3Dv2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/en.md) - The EmptyLatentHunyuan3Dv2 node creates blank latent tensors specifically formatted for Hunyuan3Dv2 3D generation models. It generates empty latent spaces with the correct dimensions and structure required by the Hunyuan3Dv2 architecture, allowing you to start 3D generation workflows from scratch. The node produces latent tensors filled with zeros that serve as the foundation for subsequent 3D generation processes. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `resolution` | INT | Yes | 1 - 8192 | The resolution dimension for the latent space (default: 3072) | -| `batch_size` | INT | Yes | 1 - 4096 | The number of latent images in the batch (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `resolution` | The resolution dimension for the latent space (default: 3072) | INT | Yes | 1 - 8192 | +| `batch_size` | The number of latent images in the batch (default: 1) | INT | Yes | 1 - 4096 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `LATENT` | LATENT | Returns a latent tensor containing empty samples formatted for Hunyuan3Dv2 3D generation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `LATENT` | Returns a latent tensor containing empty samples formatted for Hunyuan3Dv2 3D generation | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/en.md) --- **Source fingerprint (SHA-256):** `39fa531f819e3fe5e835b79d4140956c30d26cf9627d639359df65a5d3c01c2b` diff --git a/built-in-nodes/EmptyLatentImage.mdx b/built-in-nodes/EmptyLatentImage.mdx index 422ab635d..6b302830a 100644 --- a/built-in-nodes/EmptyLatentImage.mdx +++ b/built-in-nodes/EmptyLatentImage.mdx @@ -9,14 +9,16 @@ The `EmptyLatentImage` node is designed to generate a blank latent space represe ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `width` | `INT` | Specifies the width of the latent image to be generated. This parameter directly influences the spatial dimensions of the resulting latent representation. | -| `height` | `INT` | Determines the height of the latent image to be generated. This parameter is crucial for defining the spatial dimensions of the latent space representation. | -| `batch_size` | `INT` | Controls the number of latent images to be generated in a single batch. This allows for the generation of multiple latent representations simultaneously, facilitating batch processing. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `width` | Specifies the width of the latent image to be generated. This parameter directly influences the spatial dimensions of the resulting latent representation. | `INT` | +| `height` | Determines the height of the latent image to be generated. This parameter is crucial for defining the spatial dimensions of the latent space representation. | `INT` | +| `batch_size` | Controls the number of latent images to be generated in a single batch. This allows for the generation of multiple latent representations simultaneously, facilitating batch processing. | `INT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The output is a tensor representing a batch of blank latent images, serving as a base for further image generation or manipulation in latent space. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The output is a tensor representing a batch of blank latent images, serving as a base for further image generation or manipulation in latent space. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentImage/en.md) diff --git a/built-in-nodes/EmptyMochiLatentVideo.mdx b/built-in-nodes/EmptyMochiLatentVideo.mdx index 4be288559..e845ffe57 100644 --- a/built-in-nodes/EmptyMochiLatentVideo.mdx +++ b/built-in-nodes/EmptyMochiLatentVideo.mdx @@ -5,26 +5,26 @@ sidebarTitle: "EmptyMochiLatentVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyMochiLatentVideo/en.md) - The EmptyMochiLatentVideo node creates an empty latent video tensor with specified dimensions. It generates a zero-filled latent representation that can be used as a starting point for video generation workflows. The node allows you to define the width, height, length, and batch size for the latent video tensor. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the latent video in pixels (default: 848, must be divisible by 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the latent video in pixels (default: 480, must be divisible by 16) | -| `length` | INT | Yes | 7 to MAX_RESOLUTION | The number of frames in the latent video (default: 25, must satisfy that `(length - 1)` is divisible by 6) | -| `batch_size` | INT | No | 1 to 4096 | The number of latent videos to generate in a batch (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width of the latent video in pixels (default: 848, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | The height of the latent video in pixels (default: 480, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | The number of frames in the latent video (default: 25, must satisfy that `(length - 1)` is divisible by 6) | INT | Yes | 7 to MAX_RESOLUTION | +| `batch_size` | The number of latent videos to generate in a batch (default: 1) | INT | No | 1 to 4096 | **Note:** The actual latent dimensions are calculated as width/8 and height/8, and the temporal dimension is calculated as `((length - 1) // 6) + 1`. The `length` parameter must satisfy that `(length - 1)` is divisible by 6, meaning valid values are 7, 13, 19, 25, etc. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `samples` | LATENT | An empty latent video tensor with the specified dimensions, containing all zeros | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `samples` | An empty latent video tensor with the specified dimensions, containing all zeros | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyMochiLatentVideo/en.md) --- **Source fingerprint (SHA-256):** `1e5f70821965a9c8607920554f50ae3b6a0b38643074f669e5b81d81c3e26302` diff --git a/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx b/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx index 2215526d5..f93797748 100644 --- a/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx +++ b/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx @@ -5,26 +5,26 @@ sidebarTitle: "EmptyQwenImageLayeredLatentImage" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyQwenImageLayeredLatentImage/en.md) - The Empty Qwen Image Layered Latent node creates a blank, multi-layered latent representation for use with Qwen image models. It generates a tensor filled with zeros, structured with a specified number of layers, batch size, and spatial dimensions. This empty latent serves as a starting point for subsequent image generation or manipulation workflows. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the latent image to create. The value must be divisible by 16. (default: 640) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the latent image to create. The value must be divisible by 16. (default: 640) | -| `layers` | INT | Yes | 0 to MAX_RESOLUTION | The number of additional layers to add to the latent structure. This defines the depth of the latent representation. (default: 3) | -| `batch_size` | INT | No | 1 to 4096 | The number of latent samples to generate in a batch. (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width of the latent image to create. The value must be divisible by 16. (default: 640) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | The height of the latent image to create. The value must be divisible by 16. (default: 640) | INT | Yes | 16 to MAX_RESOLUTION | +| `layers` | The number of additional layers to add to the latent structure. This defines the depth of the latent representation. (default: 3) | INT | Yes | 0 to MAX_RESOLUTION | +| `batch_size` | The number of latent samples to generate in a batch. (default: 1) | INT | No | 1 to 4096 | **Note:** The `width` and `height` parameters are internally divided by 8 to determine the spatial dimensions of the output latent tensor. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `samples` | LATENT | A latent tensor filled with zeros. Its shape is `[batch_size, 16, layers + 1, height // 8, width // 8]`. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `samples` | A latent tensor filled with zeros. Its shape is `[batch_size, 16, layers + 1, height // 8, width // 8]`. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyQwenImageLayeredLatentImage/en.md) --- **Source fingerprint (SHA-256):** `fe97966663c534dd347aa49a908a8026f2c34716631f1d17be97d74eacc3574e` diff --git a/built-in-nodes/EmptySD3LatentImage.mdx b/built-in-nodes/EmptySD3LatentImage.mdx index 06c83b09f..9c501942b 100644 --- a/built-in-nodes/EmptySD3LatentImage.mdx +++ b/built-in-nodes/EmptySD3LatentImage.mdx @@ -5,23 +5,23 @@ sidebarTitle: "EmptySD3LatentImage" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptySD3LatentImage/en.md) - The EmptySD3LatentImage node creates a blank latent image tensor specifically formatted for Stable Diffusion 3 models. It generates a tensor filled with zeros that has the correct dimensions and structure expected by SD3 pipelines. This is commonly used as a starting point for image generation workflows. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | 16 to MAX_RESOLUTION (step: 16) | The width of the output latent image in pixels (default: 1024) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION (step: 16) | The height of the output latent image in pixels (default: 1024) | -| `batch_size` | INT | Yes | 1 to 4096 | The number of latent images to generate in a batch (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width of the output latent image in pixels (default: 1024) | INT | Yes | 16 to MAX_RESOLUTION (step: 16) | +| `height` | The height of the output latent image in pixels (default: 1024) | INT | Yes | 16 to MAX_RESOLUTION (step: 16) | +| `batch_size` | The number of latent images to generate in a batch (default: 1) | INT | Yes | 1 to 4096 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `LATENT` | LATENT | A latent tensor containing blank samples with SD3-compatible dimensions. The tensor has 16 channels and is spatially downscaled by a factor of 8 compared to the input width and height. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `LATENT` | A latent tensor containing blank samples with SD3-compatible dimensions. The tensor has 16 channels and is spatially downscaled by a factor of 8 compared to the input width and height. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptySD3LatentImage/en.md) --- **Source fingerprint (SHA-256):** `7a4b2454807bc905f26b96c0ff98706fa3e248bbf2b3995d5d38ebc3c5663fd6` diff --git a/built-in-nodes/Epsilon Scaling.mdx b/built-in-nodes/Epsilon Scaling.mdx index c86d59d2d..c46143860 100644 --- a/built-in-nodes/Epsilon Scaling.mdx +++ b/built-in-nodes/Epsilon Scaling.mdx @@ -5,22 +5,22 @@ sidebarTitle: "Epsilon Scaling" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Epsilon Scaling/en.md) - This node implements the Epsilon Scaling method from the research paper "Elucidating the Exposure Bias in Diffusion Models" (arxiv.org/abs/2308.15321v6). It works by scaling the predicted noise during the sampling process to help reduce exposure bias, which can lead to improved quality in the generated images. This implementation uses the "uniform schedule" recommended by the paper for its practicality and effectiveness. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to which the epsilon scaling patch will be applied. | -| `scaling_factor` | FLOAT | No | 0.5 - 1.5 | The factor by which the predicted noise is scaled. A value greater than 1.0 reduces the noise, while a value less than 1.0 increases it (default: 1.005). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to which the epsilon scaling patch will be applied. | MODEL | Yes | - | +| `scaling_factor` | The factor by which the predicted noise is scaled. A value greater than 1.0 reduces the noise, while a value less than 1.0 increases it (default: 1.005). | FLOAT | No | 0.5 - 1.5 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | A patched version of the input model with the epsilon scaling function applied to its sampling process. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | A patched version of the input model with the epsilon scaling function applied to its sampling process. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Epsilon Scaling/en.md) --- **Source fingerprint (SHA-256):** `245d230ec2db7298493d4fbe58c3d96c15821985da3dc12aaccf64e2bf7922a1` diff --git a/built-in-nodes/ExponentialScheduler.mdx b/built-in-nodes/ExponentialScheduler.mdx index 6db3bf959..1a05776aa 100644 --- a/built-in-nodes/ExponentialScheduler.mdx +++ b/built-in-nodes/ExponentialScheduler.mdx @@ -9,14 +9,16 @@ The `ExponentialScheduler` node is designed to generate a sequence of sigma valu ## Inputs -| Parameter | Data Type | Description | -|-------------|-------------|---------------------------------------------------------------------------------------------| -| `steps` | INT | Specifies the number of steps in the diffusion process. It influences the length of the generated sigma sequence and thus the granularity of the noise application. | -| `sigma_max` | FLOAT | Defines the maximum sigma value, setting the upper limit of noise intensity in the diffusion process. It plays a crucial role in determining the range of noise levels applied. | -| `sigma_min` | FLOAT | Sets the minimum sigma value, establishing the lower boundary of noise intensity. This parameter helps in fine-tuning the starting point of the noise application. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `steps` | Specifies the number of steps in the diffusion process. It influences the length of the generated sigma sequence and thus the granularity of the noise application. | INT | +| `sigma_max` | Defines the maximum sigma value, setting the upper limit of noise intensity in the diffusion process. It plays a crucial role in determining the range of noise levels applied. | FLOAT | +| `sigma_min` | Sets the minimum sigma value, establishing the lower boundary of noise intensity. This parameter helps in fine-tuning the starting point of the noise application. | FLOAT | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|---------------------------------------------------------------------------------------------| -| `sigmas` | SIGMAS | A sequence of sigma values generated according to the exponential schedule. These values are used to control the noise levels at each step of the diffusion process. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `sigmas` | A sequence of sigma values generated according to the exponential schedule. These values are used to control the noise levels at each step of the diffusion process. | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExponentialScheduler/en.md) diff --git a/built-in-nodes/ExtendIntermediateSigmas.mdx b/built-in-nodes/ExtendIntermediateSigmas.mdx index 6d4a125bf..0ece9aed0 100644 --- a/built-in-nodes/ExtendIntermediateSigmas.mdx +++ b/built-in-nodes/ExtendIntermediateSigmas.mdx @@ -5,27 +5,27 @@ sidebarTitle: "ExtendIntermediateSigmas" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExtendIntermediateSigmas/en.md) - The ExtendIntermediateSigmas node takes an existing sequence of sigma values and inserts additional intermediate sigma values between them. It allows you to specify how many extra steps to add, the spacing method for interpolation, and optional start and end sigma boundaries to control where the extension occurs within the sigma sequence. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `sigmas` | SIGMAS | Yes | - | The input sigma sequence to extend with intermediate values | -| `steps` | INT | Yes | 1 to 100 | Number of intermediate steps to insert between existing sigmas (default: 2) | -| `start_at_sigma` | FLOAT | Yes | -1.0 to 20000.0 | Upper sigma boundary for extension - only extend sigmas below this value (default: -1.0, which means infinity) | -| `end_at_sigma` | FLOAT | Yes | 0.0 to 20000.0 | Lower sigma boundary for extension - only extend sigmas above this value (default: 12.0) | -| `spacing` | COMBO | Yes | `"linear"`
`"cosine"`
`"sine"` | The interpolation method for spacing the intermediate sigma values (default: "linear") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `sigmas` | The input sigma sequence to extend with intermediate values | SIGMAS | Yes | - | +| `steps` | Number of intermediate steps to insert between existing sigmas (default: 2) | INT | Yes | 1 to 100 | +| `start_at_sigma` | Upper sigma boundary for extension - only extend sigmas below this value (default: -1.0, which means infinity) | FLOAT | Yes | -1.0 to 20000.0 | +| `end_at_sigma` | Lower sigma boundary for extension - only extend sigmas above this value (default: 12.0) | FLOAT | Yes | 0.0 to 20000.0 | +| `spacing` | The interpolation method for spacing the intermediate sigma values (default: "linear") | COMBO | Yes | `"linear"`
`"cosine"`
`"sine"` | **Note:** The node only inserts intermediate sigmas between existing sigma pairs where both the current sigma is less than or equal to `start_at_sigma` and greater than or equal to `end_at_sigma`. When `start_at_sigma` is set to -1.0, it's treated as infinity, meaning only the `end_at_sigma` lower boundary applies. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | The extended sigma sequence with additional intermediate values inserted | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sigmas` | The extended sigma sequence with additional intermediate values inserted | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExtendIntermediateSigmas/en.md) --- **Source fingerprint (SHA-256):** `111cb74aad64d8d9b2bebd10406c0f4ce718367bde96102104d385d387cef8e5` diff --git a/built-in-nodes/FeatherMask.mdx b/built-in-nodes/FeatherMask.mdx index 9d5d101b0..52f1db063 100644 --- a/built-in-nodes/FeatherMask.mdx +++ b/built-in-nodes/FeatherMask.mdx @@ -9,16 +9,18 @@ The `FeatherMask` node applies a feathering effect to the edges of a given mask, ## Inputs -| Parameter | Data Type | Description | -|-----------|--------------|-------------| -| `mask` | MASK | The mask to which the feathering effect will be applied. It determines the area of the image that will be affected by the feathering. | -| `left` | INT | Specifies the distance from the left edge within which the feathering effect will be applied. | -| `top` | INT | Specifies the distance from the top edge within which the feathering effect will be applied. | -| `right` | INT | Specifies the distance from the right edge within which the feathering effect will be applied. | -| `bottom` | INT | Specifies the distance from the bottom edge within which the feathering effect will be applied. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | The mask to which the feathering effect will be applied. It determines the area of the image that will be affected by the feathering. | MASK | +| `left` | Specifies the distance from the left edge within which the feathering effect will be applied. | INT | +| `top` | Specifies the distance from the top edge within which the feathering effect will be applied. | INT | +| `right` | Specifies the distance from the right edge within which the feathering effect will be applied. | INT | +| `bottom` | Specifies the distance from the bottom edge within which the feathering effect will be applied. | INT | ## Outputs -| Parameter | Data Type | Description | -|-----------|--------------|-------------| -| `mask` | MASK | The output is a modified version of the input mask with a feathering effect applied to its edges. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | The output is a modified version of the input mask with a feathering effect applied to its edges. | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FeatherMask/en.md) diff --git a/built-in-nodes/File3DToSplat.mdx b/built-in-nodes/File3DToSplat.mdx new file mode 100644 index 000000000..a59b7260d --- /dev/null +++ b/built-in-nodes/File3DToSplat.mdx @@ -0,0 +1,29 @@ +--- +title: "File3DToSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the File3DToSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "File3DToSplat" +icon: "circle" +mode: wide +--- +# File3DToSplat + +This node converts a 3D file containing gaussian splat data into a gaussian splat format that can be used in the node graph. It supports PLY, SPLAT, KSPLAT, and SPZ file formats, with the file format automatically detected from the file contents. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `model_3d` | A gaussian splat 3D file | FILE3D | Yes | - | + +The input file must be in one of the supported formats: PLY, SPLAT, KSPLAT, or SPZ. PLY files carry full spherical harmonics data, while the other formats contain only base color information. The format is automatically detected from the file contents. + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `splat` | A gaussian splat containing position, scale, rotation, opacity, and spherical harmonics data | SPLAT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/File3DToSplat/en.md) + +--- +**Source fingerprint (SHA-256):** `9f45210a1366e57a91de6e1251f0e2e09f39e6498dbec1db7bf9826ebedd167b` diff --git a/built-in-nodes/FlipSigmas.mdx b/built-in-nodes/FlipSigmas.mdx index bcea11bb9..a8f4c2f1f 100644 --- a/built-in-nodes/FlipSigmas.mdx +++ b/built-in-nodes/FlipSigmas.mdx @@ -9,12 +9,14 @@ The `FlipSigmas` node is designed to manipulate the sequence of sigma values use ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `sigmas` | `SIGMAS` | The 'sigmas' parameter represents the sequence of sigma values to be flipped. This sequence is crucial for controlling the noise levels applied during the diffusion process, and flipping it is essential for the reverse generation process. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `sigmas` | The 'sigmas' parameter represents the sequence of sigma values to be flipped. This sequence is crucial for controlling the noise levels applied during the diffusion process, and flipping it is essential for the reverse generation process. | `SIGMAS` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `sigmas` | `SIGMAS` | The output is the modified sequence of sigma values, flipped and adjusted to ensure the first value is non-zero if originally zero, ready for use in subsequent diffusion model operations. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `sigmas` | The output is the modified sequence of sigma values, flipped and adjusted to ensure the first value is non-zero if originally zero, ready for use in subsequent diffusion model operations. | `SIGMAS` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FlipSigmas/en.md) diff --git a/built-in-nodes/Flux2ImageNode.mdx b/built-in-nodes/Flux2ImageNode.mdx index bc9270bf4..8c2a389c3 100644 --- a/built-in-nodes/Flux2ImageNode.mdx +++ b/built-in-nodes/Flux2ImageNode.mdx @@ -5,29 +5,27 @@ sidebarTitle: "Flux2ImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2ImageNode/en.md) - ## Overview Generate images using the Flux.2 [pro] or Flux.2 [max] model from a text prompt and optional reference images. This node sends your request to the BFL API, polls for the result, and returns the generated image as a tensor. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Prompt for the image generation or edit (default: empty string). | -| `model` | COMBO | Yes | `"Flux.2 [pro]"`
`"Flux.2 [max]"` | The Flux.2 model version to use. Selecting a model unlocks additional parameters for width, height, and optional reference images. | -| `seed` | INT | Yes | 0 to 18446744073709551615 | The random seed used for creating the noise. Can be set to randomize after each generation (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the image generation or edit (default: empty string). | STRING | Yes | N/A | +| `model` | The Flux.2 model version to use. Selecting a model unlocks additional parameters for width, height, and optional reference images. | COMBO | Yes | `"Flux.2 [pro]"`
`"Flux.2 [max]"` | +| `seed` | The random seed used for creating the noise. Can be set to randomize after each generation (default: 0). | INT | Yes | 0 to 18446744073709551615 | **Additional Parameters (unlocked by `model` selection):** When you select a model, the following parameters become available: -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model.width` | INT | Yes | 256 to 1440 | The width of the generated image in pixels. | -| `model.height` | INT | Yes | 256 to 1440 | The height of the generated image in pixels. | -| `model.images` | IMAGE | No | 0 to 8 images | Optional reference images to guide the generation. A maximum of 8 images is supported. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model.width` | The width of the generated image in pixels. | INT | Yes | 256 to 1440 | +| `model.height` | The height of the generated image in pixels. | INT | Yes | 256 to 1440 | +| `model.images` | Optional reference images to guide the generation. A maximum of 8 images is supported. | IMAGE | No | 0 to 8 images | **Constraints:** - The maximum number of reference images is 8. If more than 8 images are provided, an error will be raised. @@ -35,9 +33,11 @@ When you select a model, the following parameters become available: ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The generated image as a tensor, downloaded from the BFL API result. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The generated image as a tensor, downloaded from the BFL API result. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2ImageNode/en.md) --- **Source fingerprint (SHA-256):** `ce3ee97d5ccb746892f3bfdb0dd5450d79cb4e0775a88d1f8c09569ce43ecbbb` diff --git a/built-in-nodes/Flux2Scheduler.mdx b/built-in-nodes/Flux2Scheduler.mdx index bba5fe28f..98f71c9fc 100644 --- a/built-in-nodes/Flux2Scheduler.mdx +++ b/built-in-nodes/Flux2Scheduler.mdx @@ -5,23 +5,23 @@ sidebarTitle: "Flux2Scheduler" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2Scheduler/en.md) - The Flux2Scheduler node generates a sequence of noise levels (sigmas) for the denoising process, specifically tailored for the Flux model. It calculates a schedule based on the number of denoising steps and the dimensions of the target image, which influences the progression of noise removal during image generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `steps` | INT | Yes | 1 to 4096 | The number of denoising steps to perform. A higher value typically leads to more detailed results but takes longer to process (default: 20). | -| `width` | INT | Yes | 16 to 16384 | The width of the image to be generated, in pixels. This value influences the noise schedule calculation (default: 1024). | -| `height` | INT | Yes | 16 to 16384 | The height of the image to be generated, in pixels. This value influences the noise schedule calculation (default: 1024). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `steps` | The number of denoising steps to perform. A higher value typically leads to more detailed results but takes longer to process (default: 20). | INT | Yes | 1 to 4096 | +| `width` | The width of the image to be generated, in pixels. This value influences the noise schedule calculation (default: 1024). | INT | Yes | 16 to 16384 | +| `height` | The height of the image to be generated, in pixels. This value influences the noise schedule calculation (default: 1024). | INT | Yes | 16 to 16384 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | A sequence of noise level values (sigmas) that define the denoising schedule for the sampler. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sigmas` | A sequence of noise level values (sigmas) that define the denoising schedule for the sampler. | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2Scheduler/en.md) --- **Source fingerprint (SHA-256):** `8276ee111ffc2146f9aff5852e2abf469137aecbf7ed098c521045d206cdc104` diff --git a/built-in-nodes/FluxDisableGuidance.mdx b/built-in-nodes/FluxDisableGuidance.mdx index 24e9810f1..1ecac72d3 100644 --- a/built-in-nodes/FluxDisableGuidance.mdx +++ b/built-in-nodes/FluxDisableGuidance.mdx @@ -5,21 +5,21 @@ sidebarTitle: "FluxDisableGuidance" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxDisableGuidance/en.md) - This node completely disables the guidance embed functionality for Flux and similar models. It takes conditioning data as input and removes the guidance component by setting it to None, effectively turning off guidance-based conditioning for the generation process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | Yes | - | The conditioning data to process and remove guidance from | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `conditioning` | The conditioning data to process and remove guidance from | CONDITIONING | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `conditioning` | CONDITIONING | The modified conditioning data with guidance disabled | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `conditioning` | The modified conditioning data with guidance disabled | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxDisableGuidance/en.md) --- **Source fingerprint (SHA-256):** `32d8dd4ac57f273a7064355ef819e720302bdc819b1ebfc93e42257a73e6c632` diff --git a/built-in-nodes/FluxEraseNode.mdx b/built-in-nodes/FluxEraseNode.mdx new file mode 100644 index 000000000..d0c68ad12 --- /dev/null +++ b/built-in-nodes/FluxEraseNode.mdx @@ -0,0 +1,32 @@ +--- +title: "FluxEraseNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxEraseNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxEraseNode" +icon: "circle" +mode: wide +--- +# Flux Erase Node + +Removes the masked object from an image and reconstructs the background. Paint the mask over what you want to erase, and the node fills in the area with plausible background content. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `image` | The input image to process | IMAGE | Yes | - | +| `mask` | White areas are removed; black areas are preserved | MASK | Yes | - | +| `dilate_pixels` | Expands the mask boundaries to ensure clean coverage of the object's edges (default: 10) | INT | Yes | 0 to 25 | +| `seed` | The random seed used for creating the noise (default: 0) | INT | No | 0 to 2147483647 | + +**Note:** The input image must be at least 256x256 pixels in both dimensions. The mask is automatically resized to match the image dimensions. + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `IMAGE` | The resulting image with the masked object removed and background reconstructed | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxEraseNode/en.md) + +--- +**Source fingerprint (SHA-256):** `70cf3223bc1ba0528cf99e84f073bd7a1bbcc26164cef99f4deb1645038fbf11` diff --git a/built-in-nodes/FluxGuidance.mdx b/built-in-nodes/FluxGuidance.mdx index 972b5741d..668403355 100644 --- a/built-in-nodes/FluxGuidance.mdx +++ b/built-in-nodes/FluxGuidance.mdx @@ -7,13 +7,15 @@ mode: wide --- ## Inputs -| Parameter | Data Type | Description | -|----------------|-----------|-------------| -| conditioning | CONDITIONING | Input conditioning data, typically from previous encoding or processing steps | -| guidance | FLOAT | Controls the influence of text prompts on image generation, adjustable range from 0.0 to 100.0 | +| Parameter | Description | Data Type | +| --- | --- | --- | +| conditioning | Input conditioning data, typically from previous encoding or processing steps | CONDITIONING | +| guidance | Controls the influence of text prompts on image generation, adjustable range from 0.0 to 100.0 | FLOAT | ## Outputs -| Parameter | Data Type | Description | -|----------------|-----------|-------------| -| CONDITIONING | CONDITIONING | Updated conditioning data, containing the new guidance value | +| Parameter | Description | Data Type | +| --- | --- | --- | +| CONDITIONING | Updated conditioning data, containing the new guidance value | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxGuidance/en.md) diff --git a/built-in-nodes/FluxKVCache.mdx b/built-in-nodes/FluxKVCache.mdx index 9dc66f5c6..ec78cbaf2 100644 --- a/built-in-nodes/FluxKVCache.mdx +++ b/built-in-nodes/FluxKVCache.mdx @@ -5,21 +5,21 @@ sidebarTitle: "FluxKVCache" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKVCache/en.md) - The Flux KV Cache node enables a Key-Value (KV) Cache optimization for Flux family models. This optimization improves performance when using reference images by caching certain computations, which can speed up the generation process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | | The model to apply KV Cache optimization on. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply KV Cache optimization on. | MODEL | Yes | | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The patched model with KV Cache optimization enabled. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The patched model with KV Cache optimization enabled. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKVCache/en.md) --- **Source fingerprint (SHA-256):** `bf2b19dd11336bec694a6eb586141fa850e3d0a5102c5d320455f7346738660c` diff --git a/built-in-nodes/FluxKontextImageScale.mdx b/built-in-nodes/FluxKontextImageScale.mdx index 93f808a2b..3172ceaad 100644 --- a/built-in-nodes/FluxKontextImageScale.mdx +++ b/built-in-nodes/FluxKontextImageScale.mdx @@ -9,15 +9,15 @@ This node scales the input image to an optimal size used during Flux Kontext mod ## Inputs -| Parameter Name | Data Type | Input Type | Default Value | Value Range | Description | -|----------------|-----------|------------|---------------|-------------|-------------| -| `image` | IMAGE | Required | - | - | Input image to be resized | +| Parameter Name | Description | Data Type | Input Type | Default Value | Value Range | +| --- | --- | --- | --- | --- | --- | +| `image` | Input image to be resized | IMAGE | Required | - | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | Resized image | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | Resized image | IMAGE | ## Preset Size List @@ -42,3 +42,5 @@ The following is a list of standard sizes used during model training. The node w | 1456 | 720 | 2.022 | | 1504 | 688 | 2.186 | | 1568 | 672 | 2.333 | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextImageScale/en.md) diff --git a/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx b/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx index abfa262b3..296bd300e 100644 --- a/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx +++ b/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx @@ -5,22 +5,22 @@ sidebarTitle: "FluxKontextMultiReferenceLatentMethod" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/en.md) - The FluxKontextMultiReferenceLatentMethod node modifies conditioning data by setting a specific reference latents method. It appends the chosen method to the conditioning input, which affects how reference latents are processed in subsequent generation steps. This node is marked as experimental and is part of the Flux conditioning system. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | Yes | - | The conditioning data to be modified with the reference latents method | -| `reference_latents_method` | STRING | Yes | `"offset"`
`"index"`
`"uxo/uno"`
`"index_timestep_zero"` | The method to use for reference latents processing. If "uxo" or "uso" is selected, it will be converted to "uxo". This parameter is marked as advanced. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `conditioning` | The conditioning data to be modified with the reference latents method | CONDITIONING | Yes | - | +| `reference_latents_method` | The method to use for reference latents processing. If "uxo" or "uso" is selected, it will be converted to "uxo". This parameter is marked as advanced. | STRING | Yes | `"offset"`
`"index"`
`"uxo/uno"`
`"index_timestep_zero"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `conditioning` | CONDITIONING | The modified conditioning data with the reference latents method applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `conditioning` | The modified conditioning data with the reference latents method applied | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/en.md) --- **Source fingerprint (SHA-256):** `822d08ad50f167257f32d74af27a6a7444a61a554108a27e78fea5f40aba4177` diff --git a/built-in-nodes/FluxProCannyNode.mdx b/built-in-nodes/FluxProCannyNode.mdx index 8ec778398..4326b2a88 100644 --- a/built-in-nodes/FluxProCannyNode.mdx +++ b/built-in-nodes/FluxProCannyNode.mdx @@ -5,31 +5,31 @@ sidebarTitle: "FluxProCannyNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProCannyNode/en.md) - Generate image using a control image (canny). This node takes a control image and generates a new image based on the provided prompt while following the edge structure detected in the control image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `control_image` | IMAGE | Yes | - | The input image used for canny edge detection control | -| `prompt` | STRING | No | - | Prompt for the image generation (default: empty string) | -| `prompt_upsampling` | BOOLEAN | No | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | -| `canny_low_threshold` | FLOAT | No | 0.01 - 0.99 | Low threshold for Canny edge detection; ignored if `skip_preprocessing` is True (default: 0.1) | -| `canny_high_threshold` | FLOAT | No | 0.01 - 0.99 | High threshold for Canny edge detection; ignored if `skip_preprocessing` is True (default: 0.4) | -| `skip_preprocessing` | BOOLEAN | No | - | Whether to skip preprocessing; set to True if `control_image` already is canny-fied, False if it is a raw image. (default: False) | -| `guidance` | FLOAT | No | 1 - 100 | Guidance strength for the image generation process (default: 30) | -| `steps` | INT | No | 15 - 50 | Number of steps for the image generation process (default: 50) | -| `seed` | INT | No | 0 - 18446744073709551615 | The random seed used for creating the noise. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `control_image` | The input image used for canny edge detection control | IMAGE | Yes | - | +| `prompt` | Prompt for the image generation (default: empty string) | STRING | No | - | +| `prompt_upsampling` | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | BOOLEAN | No | - | +| `canny_low_threshold` | Low threshold for Canny edge detection; ignored if `skip_preprocessing` is True (default: 0.1) | FLOAT | No | 0.01 - 0.99 | +| `canny_high_threshold` | High threshold for Canny edge detection; ignored if `skip_preprocessing` is True (default: 0.4) | FLOAT | No | 0.01 - 0.99 | +| `skip_preprocessing` | Whether to skip preprocessing; set to True if `control_image` already is canny-fied, False if it is a raw image. (default: False) | BOOLEAN | No | - | +| `guidance` | Guidance strength for the image generation process (default: 30) | FLOAT | No | 1 - 100 | +| `steps` | Number of steps for the image generation process (default: 50) | INT | No | 15 - 50 | +| `seed` | The random seed used for creating the noise. (default: 0) | INT | No | 0 - 18446744073709551615 | **Note:** When `skip_preprocessing` is set to True, the `canny_low_threshold` and `canny_high_threshold` parameters are ignored since the control image is assumed to already be processed as a canny edge image. The `control_image` is then used directly as the preprocessed image. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output_image` | IMAGE | The generated image based on the control image and prompt | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output_image` | The generated image based on the control image and prompt | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProCannyNode/en.md) --- **Source fingerprint (SHA-256):** `dedf55a2b2c183519d7f5be0d9a96abbe40716a247f574fc0d50f10f715949a7` diff --git a/built-in-nodes/FluxProDepthNode.mdx b/built-in-nodes/FluxProDepthNode.mdx index 0d876e4df..4cf1e607b 100644 --- a/built-in-nodes/FluxProDepthNode.mdx +++ b/built-in-nodes/FluxProDepthNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "FluxProDepthNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProDepthNode/en.md) - This node generates images using a depth control image as guidance. It takes a control image and a text prompt, then creates a new image that follows both the depth information from the control image and the description in the prompt. The node connects to an external API to perform the image generation process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `control_image` | IMAGE | Yes | - | The depth control image used to guide the image generation | -| `prompt` | STRING | No | - | Prompt for the image generation (default: empty string) | -| `prompt_upsampling` | BOOLEAN | No | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | -| `skip_preprocessing` | BOOLEAN | No | - | Whether to skip preprocessing; set to True if `control_image` already is depth-ified, False if it is a raw image. (default: False) | -| `guidance` | FLOAT | No | 1-100 | Guidance strength for the image generation process (default: 15) | -| `steps` | INT | No | 15-50 | Number of steps for the image generation process (default: 50) | -| `seed` | INT | No | 0-18446744073709551615 | The random seed used for creating the noise. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `control_image` | The depth control image used to guide the image generation | IMAGE | Yes | - | +| `prompt` | Prompt for the image generation (default: empty string) | STRING | No | - | +| `prompt_upsampling` | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | BOOLEAN | No | - | +| `skip_preprocessing` | Whether to skip preprocessing; set to True if `control_image` already is depth-ified, False if it is a raw image. (default: False) | BOOLEAN | No | - | +| `guidance` | Guidance strength for the image generation process (default: 15) | FLOAT | No | 1-100 | +| `steps` | Number of steps for the image generation process (default: 50) | INT | No | 15-50 | +| `seed` | The random seed used for creating the noise. (default: 0) | INT | No | 0-18446744073709551615 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output_image` | IMAGE | The generated image based on the depth control image and prompt | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output_image` | The generated image based on the depth control image and prompt | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProDepthNode/en.md) --- **Source fingerprint (SHA-256):** `34b80d7d63158b7dc4ad02da6b3a573b713d77efd0955d3477409f776f964462` diff --git a/built-in-nodes/FluxProExpandNode.mdx b/built-in-nodes/FluxProExpandNode.mdx index a786fdd0a..c05b56129 100644 --- a/built-in-nodes/FluxProExpandNode.mdx +++ b/built-in-nodes/FluxProExpandNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "FluxProExpandNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProExpandNode/en.md) - Outpaints image based on prompt. This node expands an image by adding pixels to the top, bottom, left, and right sides while generating new content that matches the provided text description. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be expanded | -| `prompt` | STRING | No | - | Prompt for the image generation (default: "") | -| `prompt_upsampling` | BOOLEAN | No | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | -| `top` | INT | No | 0-2048 | Number of pixels to expand at the top of the image (default: 0) | -| `bottom` | INT | No | 0-2048 | Number of pixels to expand at the bottom of the image (default: 0) | -| `left` | INT | No | 0-2048 | Number of pixels to expand at the left of the image (default: 0) | -| `right` | INT | No | 0-2048 | Number of pixels to expand at the right of the image (default: 0) | -| `guidance` | FLOAT | No | 1.5-100 | Guidance strength for the image generation process (default: 60) | -| `steps` | INT | No | 15-50 | Number of steps for the image generation process (default: 50) | -| `seed` | INT | No | 0-18446744073709551615 | The random seed used for creating the noise. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be expanded | IMAGE | Yes | - | +| `prompt` | Prompt for the image generation (default: "") | STRING | No | - | +| `prompt_upsampling` | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | BOOLEAN | No | - | +| `top` | Number of pixels to expand at the top of the image (default: 0) | INT | No | 0-2048 | +| `bottom` | Number of pixels to expand at the bottom of the image (default: 0) | INT | No | 0-2048 | +| `left` | Number of pixels to expand at the left of the image (default: 0) | INT | No | 0-2048 | +| `right` | Number of pixels to expand at the right of the image (default: 0) | INT | No | 0-2048 | +| `guidance` | Guidance strength for the image generation process (default: 60) | FLOAT | No | 1.5-100 | +| `steps` | Number of steps for the image generation process (default: 50) | INT | No | 15-50 | +| `seed` | The random seed used for creating the noise. (default: 0) | INT | No | 0-18446744073709551615 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The expanded output image | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The expanded output image | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProExpandNode/en.md) --- **Source fingerprint (SHA-256):** `d8ef7e28fecd0d08fa8f61c714ada054162668bb961008230bd4d342564af713` diff --git a/built-in-nodes/FluxProFillNode.mdx b/built-in-nodes/FluxProFillNode.mdx index 0f581ad40..a9c20b037 100644 --- a/built-in-nodes/FluxProFillNode.mdx +++ b/built-in-nodes/FluxProFillNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "FluxProFillNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProFillNode/en.md) - Inpaints image based on mask and prompt. This node uses the Flux.1 model to fill in masked areas of an image according to the provided text description, generating new content that matches the surrounding image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be inpainted | -| `mask` | MASK | Yes | - | The mask defining which areas of the image should be filled | -| `prompt` | STRING | No | - | Prompt for the image generation (default: empty string) | -| `prompt_upsampling` | BOOLEAN | No | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: false) | -| `guidance` | FLOAT | No | 1.5-100 | Guidance strength for the image generation process (default: 60) | -| `steps` | INT | No | 15-50 | Number of steps for the image generation process (default: 50) | -| `seed` | INT | No | 0-18446744073709551615 | The random seed used for creating the noise. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be inpainted | IMAGE | Yes | - | +| `mask` | The mask defining which areas of the image should be filled | MASK | Yes | - | +| `prompt` | Prompt for the image generation (default: empty string) | STRING | No | - | +| `prompt_upsampling` | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: false) | BOOLEAN | No | - | +| `guidance` | Guidance strength for the image generation process (default: 60) | FLOAT | No | 1.5-100 | +| `steps` | Number of steps for the image generation process (default: 50) | INT | No | 15-50 | +| `seed` | The random seed used for creating the noise. (default: 0) | INT | No | 0-18446744073709551615 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output_image` | IMAGE | The generated image with the masked areas filled according to the prompt | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output_image` | The generated image with the masked areas filled according to the prompt | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProFillNode/en.md) --- **Source fingerprint (SHA-256):** `68f9834a58d6e2d14743adafb1f791880f0af30fdb65cb6201af5616945bb56b` diff --git a/built-in-nodes/FluxProImageNode.mdx b/built-in-nodes/FluxProImageNode.mdx index 62cfc0894..3e4b49130 100644 --- a/built-in-nodes/FluxProImageNode.mdx +++ b/built-in-nodes/FluxProImageNode.mdx @@ -5,26 +5,26 @@ sidebarTitle: "FluxProImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProImageNode/en.md) - Generates images synchronously based on prompt and resolution. This node creates images using the Flux 1.1 Pro model by sending requests to an API endpoint and waiting for the complete response before returning the generated image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string) | -| `prompt_upsampling` | BOOLEAN | Yes | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | -| `width` | INT | Yes | 256-1440 | Image width in pixels (default: 1024, step: 32) | -| `height` | INT | Yes | 256-1440 | Image height in pixels (default: 768, step: 32) | -| `seed` | INT | Yes | 0-18446744073709551615 | The random seed used for creating the noise. (default: 0) | -| `image_prompt` | IMAGE | No | - | Optional reference image to guide the generation | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the image generation (default: empty string) | STRING | Yes | - | +| `prompt_upsampling` | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | BOOLEAN | Yes | - | +| `width` | Image width in pixels (default: 1024, step: 32) | INT | Yes | 256-1440 | +| `height` | Image height in pixels (default: 768, step: 32) | INT | Yes | 256-1440 | +| `seed` | The random seed used for creating the noise. (default: 0) | INT | Yes | 0-18446744073709551615 | +| `image_prompt` | Optional reference image to guide the generation | IMAGE | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The generated image returned from the API | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated image returned from the API | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProImageNode/en.md) --- **Source fingerprint (SHA-256):** `89316d84f364854541157b5b60bae3d4e25024bd4af61a47a1748c6671b463c1` diff --git a/built-in-nodes/FluxProUltraImageNode.mdx b/built-in-nodes/FluxProUltraImageNode.mdx index 5e6f61012..adeda337a 100644 --- a/built-in-nodes/FluxProUltraImageNode.mdx +++ b/built-in-nodes/FluxProUltraImageNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "FluxProUltraImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md) - Generates images using Flux Pro 1.1 Ultra via API based on prompt and resolution. This node connects to an external service to create images according to your text description and specified dimensions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string) | -| `prompt_upsampling` | BOOLEAN | No | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | -| `seed` | INT | No | 0 to 18446744073709551615 | The random seed used for creating the noise. (default: 0) | -| `aspect_ratio` | STRING | No | - | Aspect ratio of image; must be between 1:4 and 4:1. (default: "16:9") | -| `raw` | BOOLEAN | No | - | When True, generate less processed, more natural-looking images. (default: False) | -| `image_prompt` | IMAGE | No | - | Optional reference image to guide generation | -| `image_prompt_strength` | FLOAT | No | 0.0 to 1.0 | Blend between the prompt and the image prompt. (default: 0.1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the image generation (default: empty string) | STRING | Yes | - | +| `prompt_upsampling` | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | BOOLEAN | No | - | +| `seed` | The random seed used for creating the noise. (default: 0) | INT | No | 0 to 18446744073709551615 | +| `aspect_ratio` | Aspect ratio of image; must be between 1:4 and 4:1. (default: "16:9") | STRING | No | - | +| `raw` | When True, generate less processed, more natural-looking images. (default: False) | BOOLEAN | No | - | +| `image_prompt` | Optional reference image to guide generation | IMAGE | No | - | +| `image_prompt_strength` | Blend between the prompt and the image prompt. (default: 0.1) | FLOAT | No | 0.0 to 1.0 | **Note:** The `aspect_ratio` parameter must be between 1:4 and 4:1. When `image_prompt` is provided, `image_prompt_strength` becomes active and controls how much the reference image influences the final output. If `image_prompt` is not provided, the `prompt` parameter is validated to ensure it is not empty. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output_image` | IMAGE | The generated image from Flux Pro 1.1 Ultra | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output_image` | The generated image from Flux Pro 1.1 Ultra | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md) --- **Source fingerprint (SHA-256):** `9a0e3c676456da395845a2bd869abaaca30ed63ee3faf56449a2548fbab46b5c` diff --git a/built-in-nodes/FluxVTONode.mdx b/built-in-nodes/FluxVTONode.mdx new file mode 100644 index 000000000..a8b82f9cd --- /dev/null +++ b/built-in-nodes/FluxVTONode.mdx @@ -0,0 +1,30 @@ +--- +title: "FluxVTONode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxVTONode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxVTONode" +icon: "circle" +mode: wide +--- +# Flux Virtual Try-On + +This node performs virtual try-on by dressing a person in a provided garment image. It uses the BFL Flux VTO API to generate a realistic image of the person wearing the specified garment. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `person` | Image of the person to dress. | IMAGE | Yes | - | +| `garment` | Image of the garment to apply. | IMAGE | Yes | - | +| `prompt` | Optional natural-language styling instruction (e.g. how the garment should fit). | STRING | No | - | +| `seed` | The random seed used for creating the noise. | INT | No | 0 to 18446744073709551615 | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `image` | The resulting image showing the person wearing the provided garment. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxVTONode/en.md) + +--- +**Source fingerprint (SHA-256):** `137c4cf91a539605ade93a428567619fea9e6a71459dd92354878fa2f2ea4afa` diff --git a/built-in-nodes/FrameInterpolate.mdx b/built-in-nodes/FrameInterpolate.mdx index f8db521aa..7bc8f5dff 100644 --- a/built-in-nodes/FrameInterpolate.mdx +++ b/built-in-nodes/FrameInterpolate.mdx @@ -5,25 +5,25 @@ sidebarTitle: "FrameInterpolate" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolate/en.md) - ## Overview The Frame Interpolate node creates new frames between existing ones in a sequence of images, effectively increasing the frame rate. It uses an AI model to predict what the intermediate frames should look like, which can be used to create smooth slow-motion effects or to increase the smoothness of a video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `interp_model` | MODEL | Yes | - | The frame interpolation model to use for generating intermediate frames | -| `images` | IMAGE | Yes | - | A batch of consecutive images (frames) to interpolate between. Requires at least 2 images. | -| `multiplier` | INT | Yes | 2 to 16 | The number of times to multiply the frame count. For example, a multiplier of 2 doubles the number of frames. (default: 2) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `interp_model` | The frame interpolation model to use for generating intermediate frames | MODEL | Yes | - | +| `images` | A batch of consecutive images (frames) to interpolate between. Requires at least 2 images. | IMAGE | Yes | - | +| `multiplier` | The number of times to multiply the frame count. For example, a multiplier of 2 doubles the number of frames. (default: 2) | INT | Yes | 2 to 16 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | A new batch of images with the interpolated frames inserted between the original frames, resulting in a smoother sequence. The total number of output frames is `(number of input frames - 1) * multiplier + 1`. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | A new batch of images with the interpolated frames inserted between the original frames, resulting in a smoother sequence. The total number of output frames is `(number of input frames - 1) * multiplier + 1`. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolate/en.md) --- **Source fingerprint (SHA-256):** `54e1956bf249004315587328e8671d43739659cc00ad26f870214b704566a68b` diff --git a/built-in-nodes/FrameInterpolationModelLoader.mdx b/built-in-nodes/FrameInterpolationModelLoader.mdx index 79f0dbe60..82b43a946 100644 --- a/built-in-nodes/FrameInterpolationModelLoader.mdx +++ b/built-in-nodes/FrameInterpolationModelLoader.mdx @@ -5,23 +5,23 @@ sidebarTitle: "FrameInterpolationModelLoader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolationModelLoader/en.md) - ## Overview This node loads a frame interpolation model from a file and prepares it for use in the workflow. It automatically detects the model type (FILM or RIFE) and configures the model for optimal performance on your hardware. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_name` | STRING | Yes | List of model files in the `frame_interpolation` folder | Select a frame interpolation model to load. Models must be placed in the 'frame_interpolation' folder. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_name` | Select a frame interpolation model to load. Models must be placed in the 'frame_interpolation' folder. | STRING | Yes | List of model files in the `frame_interpolation` folder | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `FRAME_INTERPOLATION_MODEL` | MODEL | The loaded and configured frame interpolation model, ready for use in other nodes. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `FRAME_INTERPOLATION_MODEL` | The loaded and configured frame interpolation model, ready for use in other nodes. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolationModelLoader/en.md) --- **Source fingerprint (SHA-256):** `b39f0aee6e02fb4c7e7268289634cf4d061038512e87ca6bd00aede5660d8196` diff --git a/built-in-nodes/FreSca.mdx b/built-in-nodes/FreSca.mdx index 7c019440a..24f07e4df 100644 --- a/built-in-nodes/FreSca.mdx +++ b/built-in-nodes/FreSca.mdx @@ -5,24 +5,24 @@ sidebarTitle: "FreSca" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreSca/en.md) - The FreSca node applies frequency-dependent scaling to the guidance during the sampling process. It separates the guidance signal into low-frequency and high-frequency components using Fourier filtering, then applies different scaling factors to each frequency range before recombining them. This allows for more nuanced control over how guidance affects different aspects of the generated output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply frequency scaling to | -| `scale_low` | FLOAT | No | 0 - 10 | Scaling factor for low-frequency components (default: 1.0) | -| `scale_high` | FLOAT | No | 0 - 10 | Scaling factor for high-frequency components (default: 1.25) | -| `freq_cutoff` | INT | No | 1 - 10000 | Number of frequency indices around center to consider as low-frequency (default: 20) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply frequency scaling to | MODEL | Yes | - | +| `scale_low` | Scaling factor for low-frequency components (default: 1.0) | FLOAT | No | 0 - 10 | +| `scale_high` | Scaling factor for high-frequency components (default: 1.25) | FLOAT | No | 0 - 10 | +| `freq_cutoff` | Number of frequency indices around center to consider as low-frequency (default: 20) | INT | No | 1 - 10000 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with frequency-dependent scaling applied to its guidance function | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with frequency-dependent scaling applied to its guidance function | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreSca/en.md) --- **Source fingerprint (SHA-256):** `2ff3517619d856db68a9091ae7c87af8c56a23420fa2176b089bf9700475a7a9` diff --git a/built-in-nodes/FreeU.mdx b/built-in-nodes/FreeU.mdx index ba9c902da..bb323ba66 100644 --- a/built-in-nodes/FreeU.mdx +++ b/built-in-nodes/FreeU.mdx @@ -5,25 +5,25 @@ sidebarTitle: "FreeU" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU/en.md) - The FreeU node applies frequency-domain modifications to a model's output blocks to enhance image generation quality. It works by scaling different channel groups and applying Fourier filtering to specific feature maps, allowing for fine-tuned control over the model's behavior during the generation process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply FreeU modifications to | -| `b1` | FLOAT | Yes | 0.0 - 10.0 | Backbone scaling factor for model_channels × 4 features (default: 1.1) | -| `b2` | FLOAT | Yes | 0.0 - 10.0 | Backbone scaling factor for model_channels × 2 features (default: 1.2) | -| `s1` | FLOAT | Yes | 0.0 - 10.0 | Skip connection scaling factor for model_channels × 4 features (default: 0.9) | -| `s2` | FLOAT | Yes | 0.0 - 10.0 | Skip connection scaling factor for model_channels × 2 features (default: 0.2) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply FreeU modifications to | MODEL | Yes | - | +| `b1` | Backbone scaling factor for model_channels × 4 features (default: 1.1) | FLOAT | Yes | 0.0 - 10.0 | +| `b2` | Backbone scaling factor for model_channels × 2 features (default: 1.2) | FLOAT | Yes | 0.0 - 10.0 | +| `s1` | Skip connection scaling factor for model_channels × 4 features (default: 0.9) | FLOAT | Yes | 0.0 - 10.0 | +| `s2` | Skip connection scaling factor for model_channels × 2 features (default: 0.2) | FLOAT | Yes | 0.0 - 10.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with FreeU patches applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with FreeU patches applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU/en.md) --- **Source fingerprint (SHA-256):** `a0f0b165638aa9e88ea415fc966bdac9bfbc13e9a5dcebc9780b31b63ce91f5c` diff --git a/built-in-nodes/FreeU_V2.mdx b/built-in-nodes/FreeU_V2.mdx index 8eee51f35..cfbb6983b 100644 --- a/built-in-nodes/FreeU_V2.mdx +++ b/built-in-nodes/FreeU_V2.mdx @@ -5,25 +5,25 @@ sidebarTitle: "FreeU_V2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU_V2/en.md) - The FreeU_V2 node enhances image generation quality by applying frequency-based modifications to a diffusion model's U-Net architecture. It uses configurable scaling factors to adjust feature channels in different blocks, improving output without requiring additional training. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model to apply FreeU enhancement to | -| `b1` | FLOAT | Yes | 0.0 - 10.0 | Backbone feature scaling factor for the first block (default: 1.3) | -| `b2` | FLOAT | Yes | 0.0 - 10.0 | Backbone feature scaling factor for the second block (default: 1.4) | -| `s1` | FLOAT | Yes | 0.0 - 10.0 | Skip feature scaling factor for the first block (default: 0.9) | -| `s2` | FLOAT | Yes | 0.0 - 10.0 | Skip feature scaling factor for the second block (default: 0.2) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to apply FreeU enhancement to | MODEL | Yes | - | +| `b1` | Backbone feature scaling factor for the first block (default: 1.3) | FLOAT | Yes | 0.0 - 10.0 | +| `b2` | Backbone feature scaling factor for the second block (default: 1.4) | FLOAT | Yes | 0.0 - 10.0 | +| `s1` | Skip feature scaling factor for the first block (default: 0.9) | FLOAT | Yes | 0.0 - 10.0 | +| `s2` | Skip feature scaling factor for the second block (default: 0.2) | FLOAT | Yes | 0.0 - 10.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The enhanced diffusion model with FreeU modifications applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The enhanced diffusion model with FreeU modifications applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU_V2/en.md) --- **Source fingerprint (SHA-256):** `adbbf0934f4c17fa736035b1396d26d6a5c847fd19a981ddd42d9624bd90e619` diff --git a/built-in-nodes/GITSScheduler.mdx b/built-in-nodes/GITSScheduler.mdx index db96c6971..c1f677e8c 100644 --- a/built-in-nodes/GITSScheduler.mdx +++ b/built-in-nodes/GITSScheduler.mdx @@ -5,25 +5,25 @@ sidebarTitle: "GITSScheduler" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GITSScheduler/en.md) - The GITSScheduler node generates noise schedule sigmas for the GITS (Generative Iterative Time Steps) sampling method. It calculates sigma values based on a coefficient parameter and number of steps, with an optional denoising factor that can reduce the total steps used. The node uses pre-defined noise levels and interpolation to create the final sigma schedule. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `coeff` | FLOAT | Yes | 0.80 - 1.50 | The coefficient value that controls the noise schedule curve (default: 1.20) | -| `steps` | INT | Yes | 2 - 1000 | The total number of sampling steps to generate sigmas for (default: 10) | -| `denoise` | FLOAT | Yes | 0.0 - 1.0 | Denoising factor that reduces the number of steps used (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `coeff` | The coefficient value that controls the noise schedule curve (default: 1.20) | FLOAT | Yes | 0.80 - 1.50 | +| `steps` | The total number of sampling steps to generate sigmas for (default: 10) | INT | Yes | 2 - 1000 | +| `denoise` | Denoising factor that reduces the number of steps used (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | **Note:** When `denoise` is set to 0.0, the node returns an empty tensor. When `denoise` is less than 1.0, the actual number of steps used is calculated as `round(steps * denoise)`. For steps greater than 20, the node uses log-linear interpolation to extend the pre-defined noise levels to the desired number of steps. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | The generated sigma values for the noise schedule | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sigmas` | The generated sigma values for the noise schedule | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GITSScheduler/en.md) --- **Source fingerprint (SHA-256):** `e58c8c1c0e7cbf79554040a6684f12c1a2c59c69bb50770f9577a13d76ac8eb3` diff --git a/built-in-nodes/GLIGENLoader.mdx b/built-in-nodes/GLIGENLoader.mdx index 1219617f2..ba7417499 100644 --- a/built-in-nodes/GLIGENLoader.mdx +++ b/built-in-nodes/GLIGENLoader.mdx @@ -11,12 +11,14 @@ The `GLIGENLoader` node is designed for loading GLIGEN models, which are special ## Inputs -| Field | Comfy dtype | Description | -|-------------|-------------------|-----------------------------------------------------------------------------------| -| `gligen_name`| `COMBO[STRING]` | The name of the GLIGEN model to be loaded, specifying which model file to retrieve and load, crucial for the initialization of the GLIGEN model. | +| Field | Description | Comfy dtype | +| --- | --- | --- | +| `gligen_name` | The name of the GLIGEN model to be loaded, specifying which model file to retrieve and load, crucial for the initialization of the GLIGEN model. | `COMBO[STRING]` | ## Outputs -| Field | Data Type | Description | -|----------|-------------|--------------------------------------------------------------------------| -| `gligen` | `GLIGEN` | The loaded GLIGEN model, ready for use in generative tasks, representing the fully initialized model loaded from the specified path. | +| Field | Description | Data Type | +| --- | --- | --- | +| `gligen` | The loaded GLIGEN model, ready for use in generative tasks, representing the fully initialized model loaded from the specified path. | `GLIGEN` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLIGENLoader/en.md) diff --git a/built-in-nodes/GLIGENTextBoxApply.mdx b/built-in-nodes/GLIGENTextBoxApply.mdx index 8da0d27eb..32d727720 100644 --- a/built-in-nodes/GLIGENTextBoxApply.mdx +++ b/built-in-nodes/GLIGENTextBoxApply.mdx @@ -9,19 +9,21 @@ The `GLIGENTextBoxApply` node is designed to integrate text-based conditioning i ## Inputs -| Parameter | Comfy dtype | Description | -|----------------------|--------------------|-------------| -| `conditioning_to` | `CONDITIONING` | Specifies the initial conditioning input to which the text box parameters and encoded text information will be appended. It plays a crucial role in determining the final output by integrating new conditioning data. | -| `clip` | `CLIP` | The CLIP model used for encoding the provided text into a format that can be utilized by the generative model. It's essential for converting textual information into a compatible conditioning format. | -| `gligen_textbox_model` | `GLIGEN` | Represents the specific GLIGEN model configuration to be used for generating the text box. It's crucial for ensuring that the text box is generated according to the desired specifications. | -| `text` | `STRING` | The text content to be encoded and integrated into the conditioning. It provides the semantic information that guides the generative model. | -| `width` | `INT` | The width of the text box in pixels. It defines the spatial dimension of the text box within the generated image. | -| `height` | `INT` | The height of the text box in pixels. Similar to width, it defines the spatial dimension of the text box within the generated image. | -| `x` | `INT` | The x-coordinate of the top-left corner of the text box within the generated image. It specifies the text box's position horizontally. | -| `y` | `INT` | The y-coordinate of the top-left corner of the text box within the generated image. It specifies the text box's position vertically. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `conditioning_to` | Specifies the initial conditioning input to which the text box parameters and encoded text information will be appended. It plays a crucial role in determining the final output by integrating new conditioning data. | `CONDITIONING` | +| `clip` | The CLIP model used for encoding the provided text into a format that can be utilized by the generative model. It's essential for converting textual information into a compatible conditioning format. | `CLIP` | +| `gligen_textbox_model` | Represents the specific GLIGEN model configuration to be used for generating the text box. It's crucial for ensuring that the text box is generated according to the desired specifications. | `GLIGEN` | +| `text` | The text content to be encoded and integrated into the conditioning. It provides the semantic information that guides the generative model. | `STRING` | +| `width` | The width of the text box in pixels. It defines the spatial dimension of the text box within the generated image. | `INT` | +| `height` | The height of the text box in pixels. Similar to width, it defines the spatial dimension of the text box within the generated image. | `INT` | +| `x` | The x-coordinate of the top-left corner of the text box within the generated image. It specifies the text box's position horizontally. | `INT` | +| `y` | The y-coordinate of the top-left corner of the text box within the generated image. It specifies the text box's position vertically. | `INT` | ## Outputs -| Parameter | Comfy dtype | Description | -|----------------------|--------------------|-------------| -| `conditioning` | `CONDITIONING` | The enriched conditioning output, which includes the original conditioning data along with the newly appended text box parameters and encoded text information. It's used to guide the generative model in producing context-aware outputs. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `conditioning` | The enriched conditioning output, which includes the original conditioning data along with the newly appended text box parameters and encoded text information. It's used to guide the generative model in producing context-aware outputs. | `CONDITIONING` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLIGENTextBoxApply/en.md) diff --git a/built-in-nodes/GLSLShader.mdx b/built-in-nodes/GLSLShader.mdx index 9281356a4..6c5f0e961 100644 --- a/built-in-nodes/GLSLShader.mdx +++ b/built-in-nodes/GLSLShader.mdx @@ -5,8 +5,6 @@ sidebarTitle: "GLSLShader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLSLShader/en.md) - The **GLSL Shader** node lets you write custom fragment shaders in **GLSL ES 3.00** (WebGL 2.0 compatible) to process images directly on the GPU. You can create image effects like blurs, color grading, film grain, glow, and much more - all running at GPU speed. @@ -41,21 +39,21 @@ These uniforms are automatically set by ComfyUI. You don't need to declare all o ### Images -| Uniform | Type | Description | -|---------|------|-------------| -| `u_image0` – `u_image4` | `sampler2D` | Input images (up to 5). Sampled with `texture(u_image0, v_texCoord)`. Images are RGBA float textures with linear filtering and clamp-to-edge wrapping. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_image0` – `u_image4` | Input images (up to 5). Sampled with `texture(u_image0, v_texCoord)`. Images are RGBA float textures with linear filtering and clamp-to-edge wrapping. | `sampler2D` | ### Floats -| Uniform | Type | Description | -|---------|------|-------------| -| `u_float0` – `u_float19` | `float` | Up to 20 user-controlled float values. Mapped from the **floats** input group on the node. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_float0` – `u_float19` | Up to 20 user-controlled float values. Mapped from the **floats** input group on the node. | `float` | ### Integers -| Uniform | Type | Description | -|---------|------|-------------| -| `u_int0` – `u_int19` | `int` | Up to 20 user-controlled integer values. Mapped from the **ints** input group on the node. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_int0` – `u_int19` | Up to 20 user-controlled integer values. Mapped from the **ints** input group on the node. | `int` | **Using int uniforms as dropdowns:** Int uniforms pair well with the **Custom Combo** node's index output - users pick an option from a dropdown and the shader receives the selected item's index. @@ -75,15 +73,15 @@ if (u_int0 == BLEND_SCREEN) { ### Booleans -| Uniform | Type | Description | -|---------|------|-------------| -| `u_bool0` – `u_bool9` | `bool` | Up to 10 user-controlled boolean values. Mapped from the **bools** input group on the node. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_bool0` – `u_bool9` | Up to 10 user-controlled boolean values. Mapped from the **bools** input group on the node. | `bool` | ### Curves (1D LUTs) -| Uniform | Type | Description | -|---------|------|-------------| -| `u_curve0` – `u_curve3` | `sampler2D` | Up to 4 user-editable curve LUTs from the **curves** input group. Each curve is a 1D lookup table stored as a single-row texture. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_curve0` – `u_curve3` | Up to 4 user-editable curve LUTs from the **curves** input group. Each curve is a 1D lookup table stored as a single-row texture. | `sampler2D` | **Using curve uniforms:** Curves let users draw arbitrary tone-mapping graphs in the UI (e.g. for contrast, gamma, per-channel grading, or any custom `input → output` remap). Sample the curve using your input value as the X coordinate - remember to clamp it to `[0, 1]` first: @@ -104,9 +102,9 @@ Common uses: master RGB curves, per-channel R/G/B curves, luminance-driven remap ### Resolution -| Uniform | Type | Description | -|---------|------|-------------| -| `u_resolution` | `vec2` | **Output** framebuffer dimensions in pixels (`width, height`). This is the size you're writing to, which may differ from any input image's size when `size_mode` is `"custom"`. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_resolution` | **Output** framebuffer dimensions in pixels (`width, height`). This is the size you're writing to, which may differ from any input image's size when `size_mode` is `"custom"`. | `vec2` | **Computing texel size for sampling:** Don't use `1.0 / u_resolution` to step one pixel in an input texture. `u_resolution` is the *output* size, which may not match the input's size. Instead use `textureSize()` on the actual texture you're sampling: @@ -120,15 +118,15 @@ Use `u_resolution` only when you need the output framebuffer dimensions themselv ### Multi-Pass -| Uniform | Type | Description | -|---------|------|-------------| -| `u_pass` | `int` | Current pass index (0-based). Only meaningful when using `#pragma passes` - see [Multi-Pass Ping-Pong Rendering](#multi-pass-ping-pong-rendering) for details. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_pass` | Current pass index (0-based). Only meaningful when using `#pragma passes` - see [Multi-Pass Ping-Pong Rendering](#multi-pass-ping-pong-rendering) for details. | `int` | ### Vertex Shader Output -| Varying | Type | Description | -|---------|------|-------------| -| `v_texCoord` | `vec2` | Texture coordinates ranging from (0,0) at bottom-left to (1,1) at top-right. | +| Varying | Description | Type | +| --- | --- | --- | +| `v_texCoord` | Texture coordinates ranging from (0,0) at bottom-left to (1,1) at top-right. | `vec2` | ## Multiple Outputs (MRT) @@ -301,5 +299,7 @@ void main() { > **Effect I want:** A chromatic aberration effect that splits RGB channels outward from the center of the image. u_float0 controls the strength of the offset (0 = no effect, 10 = extremely strong). The offset should scale with distance from the center. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLSLShader/en.md) + --- **Source fingerprint (SHA-256):** `ded589d5b0cb5413ecc42c7177e3076427ceac1d3218a20cfec6f2e005fe7e27` diff --git a/built-in-nodes/GeminiImage2Node.mdx b/built-in-nodes/GeminiImage2Node.mdx index 2c6182bb4..4dcb5946b 100644 --- a/built-in-nodes/GeminiImage2Node.mdx +++ b/built-in-nodes/GeminiImage2Node.mdx @@ -5,23 +5,21 @@ sidebarTitle: "GeminiImage2Node" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage2Node/en.md) - The GeminiImage2Node generates or edits images using Google's Vertex AI Gemini model. It sends a text prompt and optional reference images or files to the API and returns the generated image and/or a text description. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. | -| `model` | COMBO | Yes | `"gemini-3-pro-image-preview"`
`"Nano Banana 2 (Gemini 3.1 Flash Image)"` | The specific Gemini model to use for generation. The "Nano Banana 2" option maps to the `gemini-3.1-flash-image-preview` model internally. | -| `seed` | INT | Yes | 0 to 18446744073709551615 | When fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Changing the model or other settings can cause variations even with the same seed. Default: 42. | -| `aspect_ratio` | COMBO | Yes | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"4:5"`
`"5:4"`
`"9:16"`
`"16:9"`
`"21:9"` | The desired aspect ratio for the output image. If set to 'auto', it matches your input image's aspect ratio; if no image is provided, a 16:9 square is usually generated. Default: "auto". | -| `resolution` | COMBO | Yes | `"1K"`
`"2K"`
`"4K"` | Target output resolution. For 2K/4K the native Gemini upscaler is used. | -| `response_modalities` | COMBO | Yes | `"IMAGE+TEXT"`
`"IMAGE"` | Choose 'IMAGE' for image-only output, or 'IMAGE+TEXT' to return both the generated image and a text response. | -| `images` | IMAGE | No | N/A | Optional reference image(s). To include multiple images, use the Batch Images node (up to 14). | -| `files` | CUSTOM | No | N/A | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node. | -| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate an AI's behavior. Default: A pre-defined system prompt for image generation. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. | STRING | Yes | N/A | +| `model` | The specific Gemini model to use for generation. The "Nano Banana 2" option maps to the `gemini-3.1-flash-image-preview` model internally. | COMBO | Yes | `"gemini-3-pro-image-preview"`
`"Nano Banana 2 (Gemini 3.1 Flash Image)"` | +| `seed` | When fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Changing the model or other settings can cause variations even with the same seed. Default: 42. | INT | Yes | 0 to 18446744073709551615 | +| `aspect_ratio` | The desired aspect ratio for the output image. If set to 'auto', it matches your input image's aspect ratio; if no image is provided, a 16:9 square is usually generated. Default: "auto". | COMBO | Yes | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"4:5"`
`"5:4"`
`"9:16"`
`"16:9"`
`"21:9"` | +| `resolution` | Target output resolution. For 2K/4K the native Gemini upscaler is used. | COMBO | Yes | `"1K"`
`"2K"`
`"4K"` | +| `response_modalities` | Choose 'IMAGE' for image-only output, or 'IMAGE+TEXT' to return both the generated image and a text response. | COMBO | Yes | `"IMAGE+TEXT"`
`"IMAGE"` | +| `images` | Optional reference image(s). To include multiple images, use the Batch Images node (up to 14). | IMAGE | No | N/A | +| `files` | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node. | CUSTOM | No | N/A | +| `system_prompt` | Foundational instructions that dictate an AI's behavior. Default: A pre-defined system prompt for image generation. | STRING | No | N/A | **Constraints:** @@ -30,10 +28,12 @@ The GeminiImage2Node generates or edits images using Google's Vertex AI Gemini m ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The image generated or edited by the Gemini model. | -| `string` | STRING | The text response from the model. This output will be empty if `response_modalities` is set to "IMAGE". | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The image generated or edited by the Gemini model. | IMAGE | +| `string` | The text response from the model. This output will be empty if `response_modalities` is set to "IMAGE". | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage2Node/en.md) --- **Source fingerprint (SHA-256):** `5814a952815288c0b4b5962f646c69b0e618bfb9ab92b31ba60eab313c68a01c` diff --git a/built-in-nodes/GeminiImageNode.mdx b/built-in-nodes/GeminiImageNode.mdx index 982e51136..cc3cdacf8 100644 --- a/built-in-nodes/GeminiImageNode.mdx +++ b/built-in-nodes/GeminiImageNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "GeminiImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage/en.md) - The GeminiImage node generates text and image responses from Google's Gemini AI models. It allows you to provide multimodal inputs including text prompts, images, and files to create coherent text and image outputs. The node handles all API communication and response parsing with the latest Gemini models. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `prompt` | STRING | required | "" | - | Text prompt for generation | -| `model` | COMBO | required | gemini_2_5_flash_image_preview | Available Gemini models
Options extracted from GeminiImageModel enum | The Gemini model to use for generating responses | -| `seed` | INT | required | 42 | 0 to 18446744073709551615 | When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used | -| `images` | IMAGE | optional | None | - | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node | -| `files` | GEMINI_INPUT_FILES | optional | None | - | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node | +| Parameter | Description | Data Type | Input Type | Default | Range | +| --- | --- | --- | --- | --- | --- | +| `prompt` | Text prompt for generation | STRING | required | "" | - | +| `model` | The Gemini model to use for generating responses | COMBO | required | gemini_2_5_flash_image_preview | Available Gemini models
Options extracted from GeminiImageModel enum | +| `seed` | When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used | INT | required | 42 | 0 to 18446744073709551615 | +| `images` | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node | IMAGE | optional | None | - | +| `files` | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node | GEMINI_INPUT_FILES | optional | None | - | *Note: The node includes hidden parameters (`auth_token`, `comfy_api_key`, `unique_id`) that are automatically handled by the system and do not require user input.* ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The generated image response from the Gemini model | -| `STRING` | STRING | The generated text response from the Gemini model | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The generated image response from the Gemini model | IMAGE | +| `STRING` | The generated text response from the Gemini model | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImageNode/en.md) diff --git a/built-in-nodes/GeminiInputFiles.mdx b/built-in-nodes/GeminiInputFiles.mdx index 9381723c9..c2478d65b 100644 --- a/built-in-nodes/GeminiInputFiles.mdx +++ b/built-in-nodes/GeminiInputFiles.mdx @@ -5,24 +5,24 @@ sidebarTitle: "GeminiInputFiles" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiInputFiles/en.md) - Loads and formats input files for use with the Gemini API. This node allows users to include text (.txt) and PDF (.pdf) files as input context for the Gemini model. Files are converted to the appropriate format required by the API and can be chained together to include multiple files in a single request. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `file` | COMBO | Yes | Multiple options available (only .txt and .pdf files under 20 MB) | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than the maximum input file size limit (20 MB). | -| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | No | N/A | An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `file` | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than the maximum input file size limit (20 MB). | COMBO | Yes | Multiple options available (only .txt and .pdf files under 20 MB) | +| `GEMINI_INPUT_FILES` | An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files. | GEMINI_INPUT_FILES | No | N/A | **Note:** The `file` parameter only displays text (.txt) and PDF (.pdf) files that are smaller than 20 MB. Files are automatically filtered and sorted by name. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | Formatted file data ready for use with Gemini LLM nodes, containing the loaded file content in the appropriate API format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `GEMINI_INPUT_FILES` | Formatted file data ready for use with Gemini LLM nodes, containing the loaded file content in the appropriate API format. | GEMINI_INPUT_FILES | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiInputFiles/en.md) --- **Source fingerprint (SHA-256):** `dc8ddfffc13984b2d0cc08a50f2a8c26f9608724f632ab49fdeff12bc2e5424a` diff --git a/built-in-nodes/GeminiNanoBanana2.mdx b/built-in-nodes/GeminiNanoBanana2.mdx index 9b3c40833..55f674c43 100644 --- a/built-in-nodes/GeminiNanoBanana2.mdx +++ b/built-in-nodes/GeminiNanoBanana2.mdx @@ -5,34 +5,34 @@ sidebarTitle: "GeminiNanoBanana2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2/en.md) - The GeminiNanoBanana2 node generates or edits images using Google's Vertex AI Gemini model. It works by sending a text prompt, along with optional reference images or files, to the API and returns the generated image and any accompanying text. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. | -| `model` | COMBO | Yes | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | The specific Gemini model to use for image generation. | -| `seed` | INT | Yes | 0 to 18446744073709551615 | When the seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. (default: 42) | -| `aspect_ratio` | COMBO | Yes | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"4:5"`
`"5:4"`
`"9:16"`
`"16:9"`
`"21:9"` | If set to 'auto', matches your input image's aspect ratio; if no image is provided, a 16:9 square is usually generated. (default: "auto") | -| `resolution` | COMBO | Yes | `"1K"`
`"2K"`
`"4K"` | Target output resolution. For 2K/4K the native Gemini upscaler is used. | -| `response_modalities` | COMBO | Yes | `"IMAGE"`
`"IMAGE+TEXT"` | Determines the type of content the model will return. (advanced) | -| `thinking_level` | COMBO | Yes | `"MINIMAL"`
`"HIGH"` | Controls the depth of the model's reasoning process. | -| `images` | IMAGE | No | N/A | Optional reference image(s). To include multiple images, use the Batch Images node (up to 14). | -| `files` | CUSTOM | No | N/A | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node. | -| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate an AI's behavior. (advanced) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. | STRING | Yes | N/A | +| `model` | The specific Gemini model to use for image generation. | COMBO | Yes | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | +| `seed` | When the seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. (default: 42) | INT | Yes | 0 to 18446744073709551615 | +| `aspect_ratio` | If set to 'auto', matches your input image's aspect ratio; if no image is provided, a 16:9 square is usually generated. (default: "auto") | COMBO | Yes | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"4:5"`
`"5:4"`
`"9:16"`
`"16:9"`
`"21:9"` | +| `resolution` | Target output resolution. For 2K/4K the native Gemini upscaler is used. | COMBO | Yes | `"1K"`
`"2K"`
`"4K"` | +| `response_modalities` | Determines the type of content the model will return. (advanced) | COMBO | Yes | `"IMAGE"`
`"IMAGE+TEXT"` | +| `thinking_level` | Controls the depth of the model's reasoning process. | COMBO | Yes | `"MINIMAL"`
`"HIGH"` | +| `images` | Optional reference image(s). To include multiple images, use the Batch Images node (up to 14). | IMAGE | No | N/A | +| `files` | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node. | CUSTOM | No | N/A | +| `system_prompt` | Foundational instructions that dictate an AI's behavior. (advanced) | STRING | No | N/A | **Note:** The `images` input supports a maximum of 14 images. If more are provided, the node will raise an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The primary image generated or edited by the model. | -| `string` | STRING | Any text content returned by the model. | -| `thought_image` | IMAGE | First image from the model's thinking process. Only available with thinking_level HIGH and IMAGE+TEXT modality. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The primary image generated or edited by the model. | IMAGE | +| `string` | Any text content returned by the model. | STRING | +| `thought_image` | First image from the model's thinking process. Only available with thinking_level HIGH and IMAGE+TEXT modality. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2/en.md) --- **Source fingerprint (SHA-256):** `6dae505011e2860cbf2ec6ccb5a32949d5daa3fe3546e85181050fd9ac92b9e5` diff --git a/built-in-nodes/GeminiNanoBanana2V2.mdx b/built-in-nodes/GeminiNanoBanana2V2.mdx index b80171753..bb6cb556a 100644 --- a/built-in-nodes/GeminiNanoBanana2V2.mdx +++ b/built-in-nodes/GeminiNanoBanana2V2.mdx @@ -5,21 +5,19 @@ sidebarTitle: "GeminiNanoBanana2V2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md) - ## Overview This node generates or edits images by sending a text prompt to Google's Vertex AI API. It uses a specific Gemini model to create new images or modify existing ones based on your instructions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. | -| `model` | COMBO | Yes | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | Selects the Gemini model to use for image generation. Currently only one option is available. This parameter includes additional sub-parameters for resolution, aspect ratio, thinking level, and image input. | -| `seed` | INT | Yes | 0 to 18446744073709551615 | When the seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. (default: 42) | -| `response_modalities` | COMBO | Yes | `"IMAGE"`
`"IMAGE+TEXT"` | Determines the format of the response. Choose "IMAGE" to receive only an image, or "IMAGE+TEXT" to receive both an image and a text description. (default: "IMAGE") | -| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate an AI's behavior. This is an advanced parameter. (default: A pre-defined system prompt instructing the model to always produce an image) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. | STRING | Yes | N/A | +| `model` | Selects the Gemini model to use for image generation. Currently only one option is available. This parameter includes additional sub-parameters for resolution, aspect ratio, thinking level, and image input. | COMBO | Yes | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | +| `seed` | When the seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. (default: 42) | INT | Yes | 0 to 18446744073709551615 | +| `response_modalities` | Determines the format of the response. Choose "IMAGE" to receive only an image, or "IMAGE+TEXT" to receive both an image and a text description. (default: "IMAGE") | COMBO | Yes | `"IMAGE"`
`"IMAGE+TEXT"` | +| `system_prompt` | Foundational instructions that dictate an AI's behavior. This is an advanced parameter. (default: A pre-defined system prompt instructing the model to always produce an image) | STRING | No | N/A | **Note on `model` parameter:** The `model` parameter is a dynamic combo that includes additional sub-parameters for resolution, aspect ratio, thinking level, and image input. These sub-parameters are defined within the model selection and are not listed as separate inputs in this table. @@ -27,11 +25,13 @@ This node generates or edits images by sending a text prompt to Google's Vertex ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The generated or edited image. | -| `STRING` | STRING | A text description or caption generated by the model. | -| `thought_image` | IMAGE | First image from the model's thinking process. Only available with thinking_level HIGH and IMAGE+TEXT modality. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The generated or edited image. | IMAGE | +| `STRING` | A text description or caption generated by the model. | STRING | +| `thought_image` | First image from the model's thinking process. Only available with thinking_level HIGH and IMAGE+TEXT modality. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md) --- **Source fingerprint (SHA-256):** `0b9af4e937874f2e192f3dc0b67f8e769b37d6595fbddb7a326b1f13e3e444d3` diff --git a/built-in-nodes/GeminiNode.mdx b/built-in-nodes/GeminiNode.mdx index 32998e609..e9d60dadb 100644 --- a/built-in-nodes/GeminiNode.mdx +++ b/built-in-nodes/GeminiNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "GeminiNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNode/en.md) - This node allows users to interact with Google's Gemini AI models to generate text responses. You can provide multiple types of inputs including text, images, audio, video, and files as context for the model to generate more relevant and meaningful responses. The node handles all API communication and response parsing automatically. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Text inputs to the model, used to generate a response. You can include detailed instructions, questions, or context for the model. Default: empty string. | -| `model` | COMBO | Yes | `gemini-2.5-pro-preview-05-06`
`gemini-2.5-flash-preview-04-17`
`gemini-2.5-pro`
`gemini-2.5-flash`
`gemini-3-pro-preview`
`gemini-3-1-pro`
`gemini-3-1-flash-lite` | The Gemini model to use for generating responses. Default: gemini-3-1-pro. | -| `seed` | INT | Yes | 0 to 18446744073709551615 | When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. Default: 42. | -| `images` | IMAGE | No | - | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node. Default: None. | -| `audio` | AUDIO | No | - | Optional audio to use as context for the model. Default: None. | -| `video` | VIDEO | No | - | Optional video to use as context for the model. Default: None. | -| `files` | GEMINI_INPUT_FILES | No | - | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node. Default: None. | -| `system_prompt` | STRING | No | - | Foundational instructions that dictate an AI's behavior. Default: empty string. This is an advanced parameter. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text inputs to the model, used to generate a response. You can include detailed instructions, questions, or context for the model. Default: empty string. | STRING | Yes | - | +| `model` | The Gemini model to use for generating responses. Default: gemini-3-1-pro. | COMBO | Yes | `gemini-2.5-pro-preview-05-06`
`gemini-2.5-flash-preview-04-17`
`gemini-2.5-pro`
`gemini-2.5-flash`
`gemini-3-pro-preview`
`gemini-3-1-pro`
`gemini-3-1-flash-lite` | +| `seed` | When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. Default: 42. | INT | Yes | 0 to 18446744073709551615 | +| `images` | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node. Default: None. | IMAGE | No | - | +| `audio` | Optional audio to use as context for the model. Default: None. | AUDIO | No | - | +| `video` | Optional video to use as context for the model. Default: None. | VIDEO | No | - | +| `files` | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node. Default: None. | GEMINI_INPUT_FILES | No | - | +| `system_prompt` | Foundational instructions that dictate an AI's behavior. Default: empty string. This is an advanced parameter. | STRING | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `STRING` | STRING | The text response generated by the Gemini model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `STRING` | The text response generated by the Gemini model. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNode/en.md) --- **Source fingerprint (SHA-256):** `c7f01d4d4f748a3a80c6e68ccd509cc1da03ed041bd2eaa8124887e7d02eb576` diff --git a/built-in-nodes/GeminiNodeV2.mdx b/built-in-nodes/GeminiNodeV2.mdx new file mode 100644 index 000000000..4d83125f0 --- /dev/null +++ b/built-in-nodes/GeminiNodeV2.mdx @@ -0,0 +1,32 @@ +--- +title: "GeminiNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiNodeV2" +icon: "circle" +mode: wide +--- +# Google Gemini + +Generate text responses with Google's Gemini models. Provide a text prompt and, optionally, one or more images, audio clips, videos, or files as multimodal context. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `prompt` | Text input to the model. Include detailed instructions, questions, or context. | STRING | Yes | | +| `model` | The Gemini model used to generate the response. | COMBO | Yes | `"Gemini 3.1 Pro"`
`"Gemini 3.1 Flash-Lite"` | +| `seed` | Seed for sampling. Set to 0 for a random seed. Deterministic output isn't guaranteed. (default: 42) | INT | Yes | 0 to 2147483647 | +| `system_prompt` | Foundational instructions that dictate the model's behavior. (default: "") | STRING | No | | + +**Note:** When providing images, audio, or video as multimodal context, the node uploads media as URLs for the first 10 inputs. Any additional media is sent inline as base64 data, with a maximum inline payload of 18 MB. If the inline payload exceeds this limit, an error is raised. + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `output` | The generated text response from the Gemini model. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNodeV2/en.md) + +--- +**Source fingerprint (SHA-256):** `ec9921f218a726082eb8987cf94b3575f61a3c6cf55fb33aeb81d42fad35d302` diff --git a/built-in-nodes/GenerateTracks.mdx b/built-in-nodes/GenerateTracks.mdx index f8b8f0a03..d8557e9e8 100644 --- a/built-in-nodes/GenerateTracks.mdx +++ b/built-in-nodes/GenerateTracks.mdx @@ -5,37 +5,37 @@ sidebarTitle: "GenerateTracks" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GenerateTracks/en.md) - The `GenerateTracks` node creates multiple parallel motion paths for video generation. It defines a primary path from a start point to an end point, then generates a set of tracks that run parallel to this path, spaced evenly apart. You can control the shape of the path (straight line or Bezier curve), the speed of movement along it, and which frames the tracks are visible in. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | 16 - 4096 | The width of the video frame in pixels. The default value is 832. | -| `height` | INT | Yes | 16 - 4096 | The height of the video frame in pixels. The default value is 480. | -| `start_x` | FLOAT | Yes | 0.0 - 1.0 | Normalized X coordinate (0-1) for start position. The default value is 0.0. | -| `start_y` | FLOAT | Yes | 0.0 - 1.0 | Normalized Y coordinate (0-1) for start position. The default value is 0.0. | -| `end_x` | FLOAT | Yes | 0.0 - 1.0 | Normalized X coordinate (0-1) for end position. The default value is 1.0. | -| `end_y` | FLOAT | Yes | 0.0 - 1.0 | Normalized Y coordinate (0-1) for end position. The default value is 1.0. | -| `num_frames` | INT | Yes | 1 - 1024 | The total number of frames for which to generate track positions. The default value is 81. | -| `num_tracks` | INT | Yes | 1 - 100 | The number of parallel tracks to generate. The default value is 5. | -| `track_spread` | FLOAT | Yes | 0.0 - 1.0 | Normalized distance between tracks. Tracks are spread perpendicular to the motion direction. The default value is 0.025. | -| `bezier` | BOOLEAN | Yes | True / False | Enable Bezier curve path using the mid point as control point. The default value is False. | -| `mid_x` | FLOAT | Yes | 0.0 - 1.0 | Normalized X control point for Bezier curve. Only used when 'bezier' is enabled. The default value is 0.5. | -| `mid_y` | FLOAT | Yes | 0.0 - 1.0 | Normalized Y control point for Bezier curve. Only used when 'bezier' is enabled. The default value is 0.5. | -| `interpolation` | COMBO | Yes | `"linear"`
`"ease_in"`
`"ease_out"`
`"ease_in_out"`
`"constant"` | Controls the timing/speed of movement along the path. The default value is "linear". | -| `track_mask` | MASK | No | - | Optional mask to indicate visible frames. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width of the video frame in pixels. The default value is 832. | INT | Yes | 16 - 4096 | +| `height` | The height of the video frame in pixels. The default value is 480. | INT | Yes | 16 - 4096 | +| `start_x` | Normalized X coordinate (0-1) for start position. The default value is 0.0. | FLOAT | Yes | 0.0 - 1.0 | +| `start_y` | Normalized Y coordinate (0-1) for start position. The default value is 0.0. | FLOAT | Yes | 0.0 - 1.0 | +| `end_x` | Normalized X coordinate (0-1) for end position. The default value is 1.0. | FLOAT | Yes | 0.0 - 1.0 | +| `end_y` | Normalized Y coordinate (0-1) for end position. The default value is 1.0. | FLOAT | Yes | 0.0 - 1.0 | +| `num_frames` | The total number of frames for which to generate track positions. The default value is 81. | INT | Yes | 1 - 1024 | +| `num_tracks` | The number of parallel tracks to generate. The default value is 5. | INT | Yes | 1 - 100 | +| `track_spread` | Normalized distance between tracks. Tracks are spread perpendicular to the motion direction. The default value is 0.025. | FLOAT | Yes | 0.0 - 1.0 | +| `bezier` | Enable Bezier curve path using the mid point as control point. The default value is False. | BOOLEAN | Yes | True / False | +| `mid_x` | Normalized X control point for Bezier curve. Only used when 'bezier' is enabled. The default value is 0.5. | FLOAT | Yes | 0.0 - 1.0 | +| `mid_y` | Normalized Y control point for Bezier curve. Only used when 'bezier' is enabled. The default value is 0.5. | FLOAT | Yes | 0.0 - 1.0 | +| `interpolation` | Controls the timing/speed of movement along the path. The default value is "linear". | COMBO | Yes | `"linear"`
`"ease_in"`
`"ease_out"`
`"ease_in_out"`
`"constant"` | +| `track_mask` | Optional mask to indicate visible frames. | MASK | No | - | **Note:** The `mid_x` and `mid_y` parameters are only used when the `bezier` parameter is set to `True`. When `bezier` is `False`, the path is a straight line from the start to the end point. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `TRACKS` | TRACKS | A tracks object containing the generated path coordinates and visibility information for all tracks across all frames. | -| `track_length` | INT | The number of frames for which tracks were generated, matching the input `num_frames`. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `TRACKS` | A tracks object containing the generated path coordinates and visibility information for all tracks across all frames. | TRACKS | +| `track_length` | The number of frames for which tracks were generated, matching the input `num_frames`. | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GenerateTracks/en.md) --- **Source fingerprint (SHA-256):** `e4070f3f092bccaf8410800e36b97f5dc56584847221cfeca469b2bb4ca44355` diff --git a/built-in-nodes/GetICLoRAParameters.mdx b/built-in-nodes/GetICLoRAParameters.mdx index 37cce3e47..64e4517a4 100644 --- a/built-in-nodes/GetICLoRAParameters.mdx +++ b/built-in-nodes/GetICLoRAParameters.mdx @@ -5,23 +5,23 @@ sidebarTitle: "GetICLoRAParameters" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/en.md) - ## Overview This node extracts IC-LoRA parameters from the metadata of a LoRA-loaded model. It reads the safetensors metadata to find values like the reference downscale factor and outputs them as a structured parameter object, which can be connected to the LTXVAddGuide node for special guide handling. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `iclora_model` | MODEL | Yes | N/A | Direct output from a LoRA Loader for the specific IC-LoRA from which to extract the metadata. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `iclora_model` | Direct output from a LoRA Loader for the specific IC-LoRA from which to extract the metadata. | MODEL | Yes | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `iclora_parameters` | IC_LORA_PARAMETERS | IC-LoRA parameters extracted from the LoRA metadata (e.g., reference_downscale_factor). Connect to LTXVAddGuide if the LoRA requires special handling of the guides. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `iclora_parameters` | IC-LoRA parameters extracted from the LoRA metadata (e.g., reference_downscale_factor). Connect to LTXVAddGuide if the LoRA requires special handling of the guides. | IC_LORA_PARAMETERS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/en.md) --- **Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50` diff --git a/built-in-nodes/GetImageSize.mdx b/built-in-nodes/GetImageSize.mdx index a3a02eafd..e8f517bb6 100644 --- a/built-in-nodes/GetImageSize.mdx +++ b/built-in-nodes/GetImageSize.mdx @@ -5,23 +5,23 @@ sidebarTitle: "GetImageSize" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetImageSize/en.md) - The GetImageSize node extracts the dimensions and batch information from an input image. It returns the width, height, and batch size of the image while also displaying this information as progress text on the node interface. The original image data passes through unchanged. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image from which to extract size information | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image from which to extract size information | IMAGE | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `width` | INT | The width of the input image in pixels | -| `height` | INT | The height of the input image in pixels | -| `batch_size` | INT | The number of images in the batch | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `width` | The width of the input image in pixels | INT | +| `height` | The height of the input image in pixels | INT | +| `batch_size` | The number of images in the batch | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetImageSize/en.md) --- **Source fingerprint (SHA-256):** `251c8480ccb1a1462a8d7656ce2b7ef33f2b9f6527b8b306a0850af16ef4094d` diff --git a/built-in-nodes/GetSplatCount.mdx b/built-in-nodes/GetSplatCount.mdx new file mode 100644 index 000000000..d3b608688 --- /dev/null +++ b/built-in-nodes/GetSplatCount.mdx @@ -0,0 +1,28 @@ +--- +title: "GetSplatCount - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GetSplatCount node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GetSplatCount" +icon: "circle" +mode: wide +--- +# Get Splat Count + +The Get Splat Count node returns the total number of splats (gaussian points) in a splat batch, summed across all items in the batch. It passes the original splat data through unchanged while providing a count of how many individual splats it contains. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `splat` | The splat data to count the number of splats in | SPLAT | Yes | - | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `splat` | The original splat data, passed through unchanged | SPLAT | +| `count` | The total number of splats summed across the batch | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetSplatCount/en.md) + +--- +**Source fingerprint (SHA-256):** `fbb913b70bbbe4701b91783b6f47969d9132737c464ae590243f9f38061a05dc` diff --git a/built-in-nodes/GetVideoComponents.mdx b/built-in-nodes/GetVideoComponents.mdx index 341e4e738..08fb2fc73 100644 --- a/built-in-nodes/GetVideoComponents.mdx +++ b/built-in-nodes/GetVideoComponents.mdx @@ -5,23 +5,23 @@ sidebarTitle: "GetVideoComponents" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetVideoComponents/en.md) - The Get Video Components node extracts all the main elements from a video file. It separates the video into individual frames, extracts the audio track, and provides the video's framerate information. This allows you to work with each component independently for further processing or analysis. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | - | The video to extract components from. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | The video to extract components from. | VIDEO | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `images` | IMAGE | The individual frames extracted from the video as separate images. | -| `audio` | AUDIO | The audio track extracted from the video. | -| `fps` | FLOAT | The framerate of the video in frames per second. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `images` | The individual frames extracted from the video as separate images. | IMAGE | +| `audio` | The audio track extracted from the video. | AUDIO | +| `fps` | The framerate of the video in frames per second. | FLOAT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetVideoComponents/en.md) --- **Source fingerprint (SHA-256):** `de129130ed4b82d875c4e8c660209b88172e3cdd41fed8c822fb7e807c92ed47` diff --git a/built-in-nodes/GrokImageEditNode.mdx b/built-in-nodes/GrokImageEditNode.mdx index 1be1229ea..313bab03d 100644 --- a/built-in-nodes/GrokImageEditNode.mdx +++ b/built-in-nodes/GrokImageEditNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "GrokImageEditNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNode/en.md) - The Grok Image Edit node modifies an existing image based on a text prompt. It uses the Grok API to generate one or more new images that are variations of the input, guided by your description. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` | The specific AI model to use for image editing. | -| `image` | IMAGE | Yes | | The input image(s) to be edited. Supports up to 3 input images, except for the "pro" model which supports only 1. | -| `prompt` | STRING | Yes | | The text prompt used to generate the edited image. Must be at least 1 character after stripping whitespace. | -| `resolution` | COMBO | Yes | `"1K"`
`"2K"` | The resolution for the output image. | -| `number_of_images` | INT | No | 1 to 10 | Number of edited images to generate (default: 1). | -| `seed` | INT | No | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | -| `aspect_ratio` | COMBO | No | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` | The aspect ratio for the output image. Only allowed when multiple images are connected to the image input. If set to "auto", the aspect ratio is determined automatically (default: "auto"). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The specific AI model to use for image editing. | COMBO | Yes | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` | +| `image` | The input image(s) to be edited. Supports up to 3 input images, except for the "pro" model which supports only 1. | IMAGE | Yes | | +| `prompt` | The text prompt used to generate the edited image. Must be at least 1 character after stripping whitespace. | STRING | Yes | | +| `resolution` | The resolution for the output image. | COMBO | Yes | `"1K"`
`"2K"` | +| `number_of_images` | Number of edited images to generate (default: 1). | INT | No | 1 to 10 | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | INT | No | 0 to 2147483647 | +| `aspect_ratio` | The aspect ratio for the output image. Only allowed when multiple images are connected to the image input. If set to "auto", the aspect ratio is determined automatically (default: "auto"). | COMBO | No | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` | **Important constraints:** - The `image` input supports up to 3 images, except when using the `grok-imagine-image-pro` model, which supports only 1 input image. @@ -27,9 +25,11 @@ The Grok Image Edit node modifies an existing image based on a text prompt. It u ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The edited image(s) generated by the node. If `number_of_images` is greater than 1, the outputs are concatenated into a batch. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The edited image(s) generated by the node. If `number_of_images` is greater than 1, the outputs are concatenated into a batch. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNode/en.md) --- **Source fingerprint (SHA-256):** `31cfe7ad382033f69330ed4de1ec831ccc25156498563e1541368e2662ed3ddb` diff --git a/built-in-nodes/GrokImageEditNodeV2.mdx b/built-in-nodes/GrokImageEditNodeV2.mdx index 840ba871c..55a87ebe4 100644 --- a/built-in-nodes/GrokImageEditNodeV2.mdx +++ b/built-in-nodes/GrokImageEditNodeV2.mdx @@ -5,19 +5,17 @@ sidebarTitle: "GrokImageEditNodeV2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNodeV2/en.md) - ## Overview Modify an existing image based on a text prompt. This node sends your images and a text description to the Grok API, which edits the images according to your instructions and returns the result. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | The text prompt used to generate the image. Must be at least 1 character long after stripping whitespace. | -| `model` | MODEL | Yes | See Description | The Grok image model to use. This parameter has multiple sub-options that appear after selecting a model. Available models: `grok-imagine-image-quality`
`grok-imagine-image-pro`
`grok-imagine-image`. Each model has different capabilities (see note below). | -| `seed` | INT | Yes | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | The text prompt used to generate the image. Must be at least 1 character long after stripping whitespace. | STRING | Yes | N/A | +| `model` | The Grok image model to use. This parameter has multiple sub-options that appear after selecting a model. Available models: `grok-imagine-image-quality`
`grok-imagine-image-pro`
`grok-imagine-image`. Each model has different capabilities (see note below). | MODEL | Yes | See Description | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) | INT | Yes | 0 to 2147483647 | **Note on `model` parameter constraints:** - The `model` parameter is a dynamic combo that includes sub-options for `resolution`, `number_of_images`, `images`, and `aspect_ratio`. @@ -29,9 +27,11 @@ Modify an existing image based on a text prompt. This node sends your images and ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The edited image(s) returned by the Grok API. If a single image is generated, it is returned directly. If multiple images are generated, they are concatenated into a single batch tensor. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The edited image(s) returned by the Grok API. If a single image is generated, it is returned directly. If multiple images are generated, they are concatenated into a single batch tensor. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNodeV2/en.md) --- **Source fingerprint (SHA-256):** `90ace53f5f2e40da315d4940fa801d84950de6db2d8ed1cf9d715d88a2b1ebf0` diff --git a/built-in-nodes/GrokImageNode.mdx b/built-in-nodes/GrokImageNode.mdx index a8067e7ff..22a83f550 100644 --- a/built-in-nodes/GrokImageNode.mdx +++ b/built-in-nodes/GrokImageNode.mdx @@ -5,20 +5,18 @@ sidebarTitle: "GrokImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageNode/en.md) - The Grok Image node generates one or more images based on a text description using the Grok AI model. It sends your prompt to an external service and returns the generated images as tensors that can be used in your workflow. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` | The specific Grok model to use for image generation. Different models may offer varying quality, speed, or features. | -| `prompt` | STRING | Yes | N/A | The text prompt used to generate the image. This description guides the AI on what to create. Must be at least 1 character long. | -| `aspect_ratio` | COMBO | Yes | `"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` | The desired width-to-height ratio for the generated image. | -| `number_of_images` | INT | No | 1 to 10 | Number of images to generate (default: 1). | -| `seed` | INT | No | 0 to 2147483647 | A seed value to determine if the node should re-run. The actual image results are nondeterministic and will vary even with the same seed (default: 0). | -| `resolution` | COMBO | No | `"1K"`
`"2K"` | The desired output resolution for the generated images (default: "1K"). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The specific Grok model to use for image generation. Different models may offer varying quality, speed, or features. | COMBO | Yes | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` | +| `prompt` | The text prompt used to generate the image. This description guides the AI on what to create. Must be at least 1 character long. | STRING | Yes | N/A | +| `aspect_ratio` | The desired width-to-height ratio for the generated image. | COMBO | Yes | `"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` | +| `number_of_images` | Number of images to generate (default: 1). | INT | No | 1 to 10 | +| `seed` | A seed value to determine if the node should re-run. The actual image results are nondeterministic and will vary even with the same seed (default: 0). | INT | No | 0 to 2147483647 | +| `resolution` | The desired output resolution for the generated images (default: "1K"). | COMBO | No | `"1K"`
`"2K"` | **Note:** The `seed` parameter is primarily used to control when the node re-executes within a workflow. Due to the nature of the external AI service, the generated images will not be reproducible or identical across runs, even with an identical seed. @@ -26,9 +24,11 @@ The Grok Image node generates one or more images based on a text description usi ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The generated image or a batch of images. If `number_of_images` is 1, a single image tensor is returned. If greater than 1, a batch of image tensors is returned. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated image or a batch of images. If `number_of_images` is 1, a single image tensor is returned. If greater than 1, a batch of image tensors is returned. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageNode/en.md) --- **Source fingerprint (SHA-256):** `f4af858c6b94fd74be1856849417609f3d45fc0f139e8f2e56cdabb6e3521076` diff --git a/built-in-nodes/GrokVideoEditNode.mdx b/built-in-nodes/GrokVideoEditNode.mdx index af10fbe46..f0b86a9c1 100644 --- a/built-in-nodes/GrokVideoEditNode.mdx +++ b/built-in-nodes/GrokVideoEditNode.mdx @@ -5,18 +5,16 @@ sidebarTitle: "GrokVideoEditNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md) - This node uses the Grok API to edit an existing video based on a text prompt. It uploads your video, sends a request to the AI model to modify it according to your description, and returns the newly generated video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"grok-imagine-video"`
`"grok-imagine-video-beta"` | The AI model to use for video editing (default: `"grok-imagine-video"`). | -| `prompt` | STRING | Yes | N/A | Text description of the desired video. | -| `video` | VIDEO | Yes | N/A | The input video to be edited. Maximum supported duration is 8.7 seconds and 50MB file size. | -| `seed` | INT | No | 0 to 2147483647 | A seed value to determine if the node should re-run. The actual results are nondeterministic regardless of the seed value (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model to use for video editing (default: `"grok-imagine-video"`). | COMBO | Yes | `"grok-imagine-video"`
`"grok-imagine-video-beta"` | +| `prompt` | Text description of the desired video. | STRING | Yes | N/A | +| `video` | The input video to be edited. Maximum supported duration is 8.7 seconds and 50MB file size. | VIDEO | Yes | N/A | +| `seed` | A seed value to determine if the node should re-run. The actual results are nondeterministic regardless of the seed value (default: 0). | INT | No | 0 to 2147483647 | **Constraints:** @@ -26,9 +24,11 @@ This node uses the Grok API to edit an existing video based on a text prompt. It ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The edited video generated by the AI model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The edited video generated by the AI model. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md) --- **Source fingerprint (SHA-256):** `04cdc989b48445562017cd2c2066c773473c5c241ed94ff6eca00b8aadf4c6df` diff --git a/built-in-nodes/GrokVideoExtendNode.mdx b/built-in-nodes/GrokVideoExtendNode.mdx index d43b52a53..9702465a7 100644 --- a/built-in-nodes/GrokVideoExtendNode.mdx +++ b/built-in-nodes/GrokVideoExtendNode.mdx @@ -5,18 +5,16 @@ sidebarTitle: "GrokVideoExtendNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoExtendNode/en.md) - The Grok Video Extend node uses an AI model to create a seamless continuation of an existing video. You provide a short video and a text prompt describing what should happen next, and the node generates a new video clip that follows on from the original. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text description of what should happen next in the video. | -| `video` | VIDEO | Yes | N/A | Source video to extend. MP4 format, 2-15 seconds. | -| `model` | COMBO | Yes | `"grok-imagine-video"` | The model to use for video extension. When selected, it reveals a nested `duration` parameter. | -| `seed` | INT | No | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text description of what should happen next in the video. | STRING | Yes | N/A | +| `video` | Source video to extend. MP4 format, 2-15 seconds. | VIDEO | Yes | N/A | +| `model` | The model to use for video extension. When selected, it reveals a nested `duration` parameter. | COMBO | Yes | `"grok-imagine-video"` | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | INT | No | 0 to 2147483647 | **Parameter Constraints:** * The `video` input must be an MP4 file between 2 and 15 seconds in length and cannot exceed 50MB in file size. @@ -25,9 +23,11 @@ The Grok Video Extend node uses an AI model to create a seamless continuation of ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The newly generated video extension. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The newly generated video extension. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoExtendNode/en.md) --- **Source fingerprint (SHA-256):** `7e56ecb0cb31795b4124671e074ef274d6de61ec2cd734b6edd5e76a3cb6a7ba` diff --git a/built-in-nodes/GrokVideoNode.mdx b/built-in-nodes/GrokVideoNode.mdx index 7cada813e..069659955 100644 --- a/built-in-nodes/GrokVideoNode.mdx +++ b/built-in-nodes/GrokVideoNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "GrokVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoNode/en.md) - The Grok Video node generates a short video from a text description. It can create a video from scratch using a prompt or animate a single input image based on a prompt. The node sends a request to an external API and returns the generated video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"grok-imagine-video"`
`"grok-imagine-video-beta"` | The model to use for video generation. | -| `prompt` | STRING | Yes | - | Text description of the desired video. | -| `resolution` | COMBO | Yes | `"480p"`
`"720p"` | The resolution of the output video. | -| `aspect_ratio` | COMBO | Yes | `"auto"`
`"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | The aspect ratio of the output video (default: "auto"). | -| `duration` | INT | Yes | 1 to 15 | The duration of the output video in seconds (default: 6). | -| `seed` | INT | Yes | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | -| `image` | IMAGE | No | - | An optional input image to animate. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to use for video generation. | COMBO | Yes | `"grok-imagine-video"`
`"grok-imagine-video-beta"` | +| `prompt` | Text description of the desired video. | STRING | Yes | - | +| `resolution` | The resolution of the output video. | COMBO | Yes | `"480p"`
`"720p"` | +| `aspect_ratio` | The aspect ratio of the output video (default: "auto"). | COMBO | Yes | `"auto"`
`"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | +| `duration` | The duration of the output video in seconds (default: 6). | INT | Yes | 1 to 15 | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | INT | Yes | 0 to 2147483647 | +| `image` | An optional input image to animate. | IMAGE | No | - | **Note:** If an `image` is provided, only one image is supported. Providing multiple images will cause an error. The `prompt` must be at least 1 character long after stripping whitespace. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoNode/en.md) --- **Source fingerprint (SHA-256):** `7b4bcd25cfe620b4593c16a2cb2a288e47f9791ae2c60d56b79009bc62bac6e2` diff --git a/built-in-nodes/GrokVideoReferenceNode.mdx b/built-in-nodes/GrokVideoReferenceNode.mdx index 280f8d0bd..3375790ac 100644 --- a/built-in-nodes/GrokVideoReferenceNode.mdx +++ b/built-in-nodes/GrokVideoReferenceNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "GrokVideoReferenceNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md) - The Grok Reference-to-Video node generates a video based on a text prompt, using up to seven reference images to guide the style and content of the output. It connects to an external API to create the video, which is then downloaded and returned. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text description of the desired video. | -| `model` | COMBO | Yes | `"grok-imagine-video"` | The model to use for video generation. | -| `model.reference_images` | IMAGE | Yes | 1 to 7 images | Up to 7 reference images to guide the video generation. | -| `model.resolution` | COMBO | Yes | `"480p"`
`"720p"` | The resolution of the output video. | -| `model.aspect_ratio` | COMBO | Yes | `"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | The aspect ratio of the output video. | -| `model.duration` | INT | Yes | 2 to 10 | The duration of the output video in seconds (default: 6). | -| `seed` | INT | No | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text description of the desired video. | STRING | Yes | N/A | +| `model` | The model to use for video generation. | COMBO | Yes | `"grok-imagine-video"` | +| `model.reference_images` | Up to 7 reference images to guide the video generation. | IMAGE | Yes | 1 to 7 images | +| `model.resolution` | The resolution of the output video. | COMBO | Yes | `"480p"`
`"720p"` | +| `model.aspect_ratio` | The aspect ratio of the output video. | COMBO | Yes | `"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | +| `model.duration` | The duration of the output video in seconds (default: 6). | INT | Yes | 2 to 10 | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | INT | No | 0 to 2147483647 | **Note:** The `model` parameter is a group containing `reference_images`, `resolution`, `aspect_ratio`, and `duration`. You must provide at least one reference image, and you can provide up to seven. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md) --- **Source fingerprint (SHA-256):** `df50e80ca403d05469881e1c456ca4777d70989d8950c5e3844271c3ff8df85a` diff --git a/built-in-nodes/GrowMask.mdx b/built-in-nodes/GrowMask.mdx index 9bd3cf816..5082ff7aa 100644 --- a/built-in-nodes/GrowMask.mdx +++ b/built-in-nodes/GrowMask.mdx @@ -9,14 +9,16 @@ The `GrowMask` node is designed to modify the size of a given mask, either expan ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `mask` | MASK | The input mask to be modified. This parameter is central to the node's operation, serving as the base upon which the mask is either expanded or contracted. | -| `expand` | INT | Determines the magnitude and direction of the mask modification. Positive values cause the mask to expand, while negative values lead to contraction. This parameter directly influences the final size of the mask. | -| `tapered_corners` | BOOLEAN | A boolean flag that, when set to True, applies a tapered effect to the corners of the mask during modification. This option allows for smoother transitions and visually appealing results. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | The input mask to be modified. This parameter is central to the node's operation, serving as the base upon which the mask is either expanded or contracted. | MASK | +| `expand` | Determines the magnitude and direction of the mask modification. Positive values cause the mask to expand, while negative values lead to contraction. This parameter directly influences the final size of the mask. | INT | +| `tapered_corners` | A boolean flag that, when set to True, applies a tapered effect to the corners of the mask during modification. This option allows for smoother transitions and visually appealing results. | BOOLEAN | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `mask` | MASK | The modified mask after applying the specified expansion/contraction and optional tapered corners effect. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | The modified mask after applying the specified expansion/contraction and optional tapered corners effect. | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrowMask/en.md) diff --git a/built-in-nodes/HappyHorseImageToVideoApi.mdx b/built-in-nodes/HappyHorseImageToVideoApi.mdx index af37c1b5c..9711d1355 100644 --- a/built-in-nodes/HappyHorseImageToVideoApi.mdx +++ b/built-in-nodes/HappyHorseImageToVideoApi.mdx @@ -5,29 +5,29 @@ sidebarTitle: "HappyHorseImageToVideoApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/en.md) - ## Overview This node generates a short video from a single starting image using the HappyHorse model. You provide a first frame image and a text prompt describing the desired motion and scene, and the node creates a video that continues from that image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"happyhorse-1.0-i2v"` | The HappyHorse model to use for video generation. | -| `model.prompt` | STRING | No | N/A | Prompt describing the elements and visual features. Supports English and Chinese. (default: "") | -| `model.resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The output video resolution. (default: "720P") | -| `model.duration` | INT | Yes | 3 to 15 | The duration of the generated video in seconds. (default: 5) | -| `first_frame` | IMAGE | Yes | N/A | First frame image. The output aspect ratio is derived from this image. | -| `seed` | INT | No | 0 to 2147483647 | Seed to use for generation. (default: 0) | -| `watermark` | BOOLEAN | No | True / False | Whether to add an AI-generated watermark to the result. (default: False) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The HappyHorse model to use for video generation. | COMBO | Yes | `"happyhorse-1.0-i2v"` | +| `model.prompt` | Prompt describing the elements and visual features. Supports English and Chinese. (default: "") | STRING | No | N/A | +| `model.resolution` | The output video resolution. (default: "720P") | COMBO | Yes | `"720P"`
`"1080P"` | +| `model.duration` | The duration of the generated video in seconds. (default: 5) | INT | Yes | 3 to 15 | +| `first_frame` | First frame image. The output aspect ratio is derived from this image. | IMAGE | Yes | N/A | +| `seed` | Seed to use for generation. (default: 0) | INT | No | 0 to 2147483647 | +| `watermark` | Whether to add an AI-generated watermark to the result. (default: False) | BOOLEAN | No | True / False | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/en.md) --- **Source fingerprint (SHA-256):** `b8764d68024b7d2a526b6cc3e1e56c3240b1aa55f31a07263e7014d4f6c67509` diff --git a/built-in-nodes/HappyHorseReferenceVideoApi.mdx b/built-in-nodes/HappyHorseReferenceVideoApi.mdx index 5b2eb2a98..ed0056433 100644 --- a/built-in-nodes/HappyHorseReferenceVideoApi.mdx +++ b/built-in-nodes/HappyHorseReferenceVideoApi.mdx @@ -5,30 +5,30 @@ sidebarTitle: "HappyHorseReferenceVideoApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/en.md) - ## Overview This node generates a video featuring a person or object based on reference images using the HappyHorse model. It supports creating videos with a single character or multiple characters interacting with each other. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"happyhorse-1.0-r2v"` | The HappyHorse model to use for video generation. | -| `prompt` | STRING | Yes | N/A | A text description of the video you want to generate. Use identifiers like 'character1' and 'character2' to refer to the reference characters. | -| `resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The resolution of the generated video. | -| `ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | The aspect ratio of the generated video. | -| `duration` | INT | Yes | 3 to 15 | The duration of the generated video in seconds (default: 5). | -| `reference_images` | IMAGE | Yes | 1 to 9 | One or more reference images of the person or object to feature in the video. You must provide at least one image. | -| `seed` | INT | No | 0 to 2147483647 | A seed value for reproducible generation (default: 0). The seed can be set to automatically change after each generation. | -| `watermark` | BOOLEAN | No | True or False | Whether to add an AI-generated watermark to the resulting video (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The HappyHorse model to use for video generation. | COMBO | Yes | `"happyhorse-1.0-r2v"` | +| `prompt` | A text description of the video you want to generate. Use identifiers like 'character1' and 'character2' to refer to the reference characters. | STRING | Yes | N/A | +| `resolution` | The resolution of the generated video. | COMBO | Yes | `"720P"`
`"1080P"` | +| `ratio` | The aspect ratio of the generated video. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `duration` | The duration of the generated video in seconds (default: 5). | INT | Yes | 3 to 15 | +| `reference_images` | One or more reference images of the person or object to feature in the video. You must provide at least one image. | IMAGE | Yes | 1 to 9 | +| `seed` | A seed value for reproducible generation (default: 0). The seed can be set to automatically change after each generation. | INT | No | 0 to 2147483647 | +| `watermark` | Whether to add an AI-generated watermark to the resulting video (default: False). | BOOLEAN | No | True or False | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `VIDEO` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `VIDEO` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/en.md) --- **Source fingerprint (SHA-256):** `42c844db22ed2284bd16bd28fe0060652248ada0d5d31003134768ed5e44356c` diff --git a/built-in-nodes/HappyHorseTextToVideoApi.mdx b/built-in-nodes/HappyHorseTextToVideoApi.mdx index 622d1310e..a0745a5ad 100644 --- a/built-in-nodes/HappyHorseTextToVideoApi.mdx +++ b/built-in-nodes/HappyHorseTextToVideoApi.mdx @@ -5,25 +5,25 @@ sidebarTitle: "HappyHorseTextToVideoApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/en.md) - ## Overview Generates a video based on a text prompt using the HappyHorse model. This node sends your prompt and settings to the HappyHorse API, waits for the video to be generated, and then downloads the result. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | DICT | Yes | See Description | A dictionary containing the model selection and its associated parameters. The model must be `"happyhorse-1.0-t2v"`. This dictionary includes the following sub-parameters:

**`prompt`** (STRING): The text description of the video you want to generate. Supports English and Chinese. (default: "").
**`resolution`** (COMBO): The resolution of the output video. Options: `"720P"`
`"1080P"`.
**`ratio`** (COMBO): The aspect ratio of the output video. Options: `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`.
**`duration`** (INT): The length of the video in seconds. (default: 5, min: 3, max: 15, step: 1). | -| `seed` | INT | Yes | 0 to 2147483647 | Seed to use for generation. Using the same seed with the same inputs will produce the same result. (default: 0). | -| `watermark` | BOOLEAN | No | True / False | Whether to add an AI-generated watermark to the result. (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | A dictionary containing the model selection and its associated parameters. The model must be `"happyhorse-1.0-t2v"`. This dictionary includes the following sub-parameters:

**`prompt`** (STRING): The text description of the video you want to generate. Supports English and Chinese. (default: "").
**`resolution`** (COMBO): The resolution of the output video. Options: `"720P"`
`"1080P"`.
**`ratio`** (COMBO): The aspect ratio of the output video. Options: `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`.
**`duration`** (INT): The length of the video in seconds. (default: 5, min: 3, max: 15, step: 1). | DICT | Yes | See Description | +| `seed` | Seed to use for generation. Using the same seed with the same inputs will produce the same result. (default: 0). | INT | Yes | 0 to 2147483647 | +| `watermark` | Whether to add an AI-generated watermark to the result. (default: False). | BOOLEAN | No | True / False | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `VIDEO` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `VIDEO` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/en.md) --- **Source fingerprint (SHA-256):** `8e2c0aaab2c8918079c5ec02916375e9a11b0e745d3296155f37c0128a9dbc3c` diff --git a/built-in-nodes/HappyHorseVideoEditApi.mdx b/built-in-nodes/HappyHorseVideoEditApi.mdx index c1ec1f1db..d23fe0a51 100644 --- a/built-in-nodes/HappyHorseVideoEditApi.mdx +++ b/built-in-nodes/HappyHorseVideoEditApi.mdx @@ -5,38 +5,38 @@ sidebarTitle: "HappyHorseVideoEditApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/en.md) - ## Overview Edit a video using text instructions or reference images with the HappyHorse model. The output duration is 3-15 seconds and matches the input video; inputs longer than 15 seconds are truncated. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | DICT | Yes | See below | Model configuration containing the model selection, prompt, resolution, aspect ratio, and optional reference images. | -| `video` | VIDEO | Yes | - | The video to edit. | -| `seed` | INT | Yes | 0 to 2147483647 | Seed to use for generation (default: 0). | -| `watermark` | BOOLEAN | No | True / False | Whether to add an AI-generated watermark to the result (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Model configuration containing the model selection, prompt, resolution, aspect ratio, and optional reference images. | DICT | Yes | See below | +| `video` | The video to edit. | VIDEO | Yes | - | +| `seed` | Seed to use for generation (default: 0). | INT | Yes | 0 to 2147483647 | +| `watermark` | Whether to add an AI-generated watermark to the result (default: False). | BOOLEAN | No | True / False | ### `model` Parameter Details The `model` parameter is a dictionary with the following fields: -| Field | Data Type | Required | Range | Description | -|-------|-----------|----------|-------|-------------| -| `model` | STRING | Yes | `"happyhorse-1.0-video-edit"` | The HappyHorse video editing model to use. | -| `prompt` | STRING | Yes | - | Editing instructions or style transfer requirements. Must be at least 1 character long. | -| `resolution` | STRING | Yes | `"720P"`
`"1080P"` | The output resolution. | -| `ratio` | STRING | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | Aspect ratio. If not changed, approximates the input video ratio. | -| `reference_images` | DICT | No | 0 to 5 images | Optional reference images (image1, image2, image3, image4, image5) to guide the edit. | +| Field | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The HappyHorse video editing model to use. | STRING | Yes | `"happyhorse-1.0-video-edit"` | +| `prompt` | Editing instructions or style transfer requirements. Must be at least 1 character long. | STRING | Yes | - | +| `resolution` | The output resolution. | STRING | Yes | `"720P"`
`"1080P"` | +| `ratio` | Aspect ratio. If not changed, approximates the input video ratio. | STRING | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `reference_images` | Optional reference images (image1, image2, image3, image4, image5) to guide the edit. | DICT | No | 0 to 5 images | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The edited video output. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The edited video output. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/en.md) --- **Source fingerprint (SHA-256):** `eadb446a8dbcc524a8bb6a2ee48941136f8c1ec2cb64aa9061fb1fa22e1b683d` diff --git a/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx b/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx index 642d5ef78..6dd15a94d 100644 --- a/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx +++ b/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx @@ -5,23 +5,21 @@ sidebarTitle: "HiDreamO1PatchSeamSmoothing" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/en.md) - ## Overview This node reduces visible seams in images generated by the HiDream-O1 model by averaging the model's output across multiple shifted patch-grid positions during the later part of the sampling process. It works by running the model several times with slightly different image alignments and blending the results together, which helps cancel out the grid-like artifacts that can appear at patch boundaries. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The HiDream-O1 model to apply seam smoothing to. | -| `start_percent` | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | The sampling progress (0=start, 1=end) at which the smoothing effect turns ON (default: 0.8). | -| `end_percent` | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | The sampling progress at which the smoothing effect turns OFF (default: 1.0). | -| `pattern` | COMBO | Yes | `"single_shift"`
`"symmetric"` | The layout of the shifted grid positions. `single_shift`: one pass at the natural patch grid plus others offset. `symmetric`: all passes are off-grid, with shifts split around the origin (default: `"single_shift"`). | -| `passes` | COMBO | Yes | `"2"`
`"4"`
`"ramp_2_4"`
`"ramp_2_4_8"` | The number of passes (model runs) per gated step. `2` or `4` are fixed counts. `ramp_2_4` and `ramp_2_4_8` increase the pass count as sampling approaches the end, providing more smoothing where seams are most visible (default: `"2"`). | -| `blend` | COMBO | Yes | `"average"`
`"window"`
`"median"` | The method used to combine the results from each pass. `average`: equal-weight mean of all passes. `window`: uses a Hann window to give more weight to the center of each pass, reducing boundary artifacts. `median`: takes the per-pixel median, which can reject outlier passes caused by wraparound (default: `"average"`). | -| `strength` | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | Controls the interpolation between the original model output (0.0) and the fully smoothed result (1.0) (default: 1.0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The HiDream-O1 model to apply seam smoothing to. | MODEL | Yes | - | +| `start_percent` | The sampling progress (0=start, 1=end) at which the smoothing effect turns ON (default: 0.8). | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | +| `end_percent` | The sampling progress at which the smoothing effect turns OFF (default: 1.0). | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | +| `pattern` | The layout of the shifted grid positions. `single_shift`: one pass at the natural patch grid plus others offset. `symmetric`: all passes are off-grid, with shifts split around the origin (default: `"single_shift"`). | COMBO | Yes | `"single_shift"`
`"symmetric"` | +| `passes` | The number of passes (model runs) per gated step. `2` or `4` are fixed counts. `ramp_2_4` and `ramp_2_4_8` increase the pass count as sampling approaches the end, providing more smoothing where seams are most visible (default: `"2"`). | COMBO | Yes | `"2"`
`"4"`
`"ramp_2_4"`
`"ramp_2_4_8"` | +| `blend` | The method used to combine the results from each pass. `average`: equal-weight mean of all passes. `window`: uses a Hann window to give more weight to the center of each pass, reducing boundary artifacts. `median`: takes the per-pixel median, which can reject outlier passes caused by wraparound (default: `"average"`). | COMBO | Yes | `"average"`
`"window"`
`"median"` | +| `strength` | Controls the interpolation between the original model output (0.0) and the fully smoothed result (1.0) (default: 1.0). | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | **Note on Parameter Constraints:** - The smoothing effect will not be applied if `strength` is 0.0 or less, or if `end_percent` is less than or equal to `start_percent`. @@ -29,9 +27,11 @@ This node reduces visible seams in images generated by the HiDream-O1 model by a ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with the seam smoothing wrapper applied. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with the seam smoothing wrapper applied. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/en.md) --- **Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c` diff --git a/built-in-nodes/HiDreamO1ReferenceImages.mdx b/built-in-nodes/HiDreamO1ReferenceImages.mdx index 6b594331a..c17d9f7a7 100644 --- a/built-in-nodes/HiDreamO1ReferenceImages.mdx +++ b/built-in-nodes/HiDreamO1ReferenceImages.mdx @@ -5,28 +5,28 @@ sidebarTitle: "HiDreamO1ReferenceImages" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/en.md) - ## Overview Attach reference images to both positive and negative conditioning. This node allows you to provide one or more reference images that will be used to guide the image generation process, either for editing based on an instruction or for subject-driven personalization. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The positive conditioning to attach reference images to. | -| `negative` | CONDITIONING | Yes | - | The negative conditioning to attach reference images to. | -| `images` | IMAGE | Yes | 1 to 10 images | Reference images. 1 image enables instruction-based editing; 2-10 images enable multi-reference subject-driven personalization. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning to attach reference images to. | CONDITIONING | Yes | - | +| `negative` | The negative conditioning to attach reference images to. | CONDITIONING | Yes | - | +| `images` | Reference images. 1 image enables instruction-based editing; 2-10 images enable multi-reference subject-driven personalization. | IMAGE | Yes | 1 to 10 images | **Note on `images` parameter:** This is an autogrow input that accepts between 1 and 10 images. The images are labeled `image_1` through `image_10`. You must provide at least 1 image. The number of images determines the mode of operation: a single image is used for edit instructions, while multiple images (2-10) are used for subject-driven personalization. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The positive conditioning with the reference images attached. | -| `negative` | CONDITIONING | The negative conditioning with the reference images attached. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The positive conditioning with the reference images attached. | CONDITIONING | +| `negative` | The negative conditioning with the reference images attached. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/en.md) --- **Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303` diff --git a/built-in-nodes/HitPawGeneralImageEnhance.mdx b/built-in-nodes/HitPawGeneralImageEnhance.mdx index abd0cc5c8..279cabfdc 100644 --- a/built-in-nodes/HitPawGeneralImageEnhance.mdx +++ b/built-in-nodes/HitPawGeneralImageEnhance.mdx @@ -5,26 +5,26 @@ sidebarTitle: "HitPawGeneralImageEnhance" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md) - This node enhances low-resolution images by upscaling them to super-resolution, removing artifacts and noise. It uses an external API to process the image and can automatically adjust the input size to stay within processing limits. The maximum allowed output size is 32 megapixels. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | STRING | Yes | `"generative_portrait"`
`"generative"` | The enhancement model to use. The `generative_portrait` model is optimized for portraits, while `generative` is a general-purpose model. | -| `image` | IMAGE | Yes | - | The input image to be enhanced. | -| `upscale_factor` | INT | Yes | `1`
`2`
`4` | The factor by which to upscale the image's dimensions. A factor of 1 means no upscaling, 2 doubles the dimensions, and 4 quadruples them. | -| `auto_downscale` | BOOLEAN | No | - | Automatically downscale input image if output would exceed the limit. When enabled, the node will attempt to reduce the input image size or reduce the upscale factor to fit within the 32 megapixel output limit. (default: `False`) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The enhancement model to use. The `generative_portrait` model is optimized for portraits, while `generative` is a general-purpose model. | STRING | Yes | `"generative_portrait"`
`"generative"` | +| `image` | The input image to be enhanced. | IMAGE | Yes | - | +| `upscale_factor` | The factor by which to upscale the image's dimensions. A factor of 1 means no upscaling, 2 doubles the dimensions, and 4 quadruples them. | INT | Yes | `1`
`2`
`4` | +| `auto_downscale` | Automatically downscale input image if output would exceed the limit. When enabled, the node will attempt to reduce the input image size or reduce the upscale factor to fit within the 32 megapixel output limit. (default: `False`) | BOOLEAN | No | - | **Note:** The node will raise an error if the calculated output size (input height × upscale_factor × input width × upscale_factor) exceeds 32,000,000 pixels (32MP) and `auto_downscale` is disabled. When `auto_downscale` is enabled, the node will attempt to downscale the input image to fit within the limit before applying the requested upscale factor. If downscaling by more than 2x would be required, the node will instead reduce the upscale factor. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The enhanced and upscaled output image. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The enhanced and upscaled output image. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md) --- **Source fingerprint (SHA-256):** `1cb59c04e517b6ecce3a4cb809d3cad26bb7a0fe6d16ddf72b9729e186e25d53` diff --git a/built-in-nodes/HitPawVideoEnhance.mdx b/built-in-nodes/HitPawVideoEnhance.mdx index 1aff6dd6a..23d94cc05 100644 --- a/built-in-nodes/HitPawVideoEnhance.mdx +++ b/built-in-nodes/HitPawVideoEnhance.mdx @@ -5,17 +5,15 @@ sidebarTitle: "HitPawVideoEnhance" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawVideoEnhance/en.md) - The HitPaw Video Enhance node uses an external API to improve the quality of videos. It upscales low-resolution videos to a higher resolution, removes visual artifacts, and reduces noise. The processing cost is calculated per second of the input video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | DYNAMIC COMBO | Yes | `"Portrait Restore Model (1x)"`
`"Portrait Restore Model (2x)"`
`"General Restore Model (1x)"`
`"General Restore Model (2x)"`
`"General Restore Model (4x)"`
`"Ultra HD Model (2x)"`
`"Generative Model (1x)"` | The AI model to use for video enhancement. Selecting a model reveals a nested `resolution` parameter. The available models and their supported resolutions vary. | -| `model.resolution` | COMBO | Yes | For `"Generative Model (1x)"`: `"original"`
`"720p"`
`"1080p"`
`"2K/QHD"`
`"4K/UHD"`

For all other models: `"original"`
`"720p"`
`"1080p"`
`"2K/QHD"`
`"4K/UHD"`
`"8K"` | The target resolution for the enhanced video. The `"8K"` option is only available for models other than `"Generative Model (1x)"`. | -| `video` | VIDEO | Yes | N/A | The input video file to be enhanced. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model to use for video enhancement. Selecting a model reveals a nested `resolution` parameter. The available models and their supported resolutions vary. | DYNAMIC COMBO | Yes | `"Portrait Restore Model (1x)"`
`"Portrait Restore Model (2x)"`
`"General Restore Model (1x)"`
`"General Restore Model (2x)"`
`"General Restore Model (4x)"`
`"Ultra HD Model (2x)"`
`"Generative Model (1x)"` | +| `model.resolution` | The target resolution for the enhanced video. The `"8K"` option is only available for models other than `"Generative Model (1x)"`. | COMBO | Yes | For `"Generative Model (1x)"`: `"original"`
`"720p"`
`"1080p"`
`"2K/QHD"`
`"4K/UHD"`

For all other models: `"original"`
`"720p"`
`"1080p"`
`"2K/QHD"`
`"4K/UHD"`
`"8K"` | +| `video` | The input video file to be enhanced. | VIDEO | Yes | N/A | **Constraints:** @@ -24,9 +22,11 @@ The HitPaw Video Enhance node uses an external API to improve the quality of vid ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The enhanced video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The enhanced video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawVideoEnhance/en.md) --- **Source fingerprint (SHA-256):** `49291b3c610d32cf60fb4786333cb7e3d18c9de39c15577dabbd9f27bc9eac75` diff --git a/built-in-nodes/Hunyuan3Dv2Conditioning.mdx b/built-in-nodes/Hunyuan3Dv2Conditioning.mdx index d1f8681c5..47eb503da 100644 --- a/built-in-nodes/Hunyuan3Dv2Conditioning.mdx +++ b/built-in-nodes/Hunyuan3Dv2Conditioning.mdx @@ -5,22 +5,22 @@ sidebarTitle: "Hunyuan3Dv2Conditioning" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/en.md) - The Hunyuan3Dv2Conditioning node processes CLIP vision output to generate conditioning data for 3D models. It extracts the last hidden state embeddings from the vision output and creates both positive and negative conditioning pairs. The positive conditioning uses the actual embeddings while the negative conditioning uses zero-valued embeddings of the same shape. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip_vision_output` | CLIP_VISION_OUTPUT | Yes | - | The output from a CLIP vision model containing visual embeddings | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip_vision_output` | The output from a CLIP vision model containing visual embeddings | CLIP_VISION_OUTPUT | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Positive conditioning data containing the CLIP vision embeddings | -| `negative` | CONDITIONING | Negative conditioning data containing zero-valued embeddings matching the positive embeddings shape | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Positive conditioning data containing the CLIP vision embeddings | CONDITIONING | +| `negative` | Negative conditioning data containing zero-valued embeddings matching the positive embeddings shape | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/en.md) --- **Source fingerprint (SHA-256):** `93ee88ca001f59a344c7e3113da0200c75d7a566de9084103f69efe3270231e8` diff --git a/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx b/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx index 7709335c1..e0fa0f1ec 100644 --- a/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx +++ b/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx @@ -5,27 +5,27 @@ sidebarTitle: "Hunyuan3Dv2ConditioningMultiView" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/en.md) - The Hunyuan3Dv2ConditioningMultiView node processes multi-view CLIP vision embeddings for 3D video generation. It takes optional front, left, back, and right view embeddings and combines them with positional encoding to create conditioning data for video models. The node outputs both positive conditioning from the combined embeddings and negative conditioning with zero values. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `front` | CLIP_VISION_OUTPUT | No | - | CLIP vision output for the front view | -| `left` | CLIP_VISION_OUTPUT | No | - | CLIP vision output for the left view | -| `back` | CLIP_VISION_OUTPUT | No | - | CLIP vision output for the back view | -| `right` | CLIP_VISION_OUTPUT | No | - | CLIP vision output for the right view | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `front` | CLIP vision output for the front view | CLIP_VISION_OUTPUT | No | - | +| `left` | CLIP vision output for the left view | CLIP_VISION_OUTPUT | No | - | +| `back` | CLIP vision output for the back view | CLIP_VISION_OUTPUT | No | - | +| `right` | CLIP vision output for the right view | CLIP_VISION_OUTPUT | No | - | **Note:** At least one view input must be provided for the node to function. The node will only process views that contain valid CLIP vision output data. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Positive conditioning containing the combined multi-view embeddings with positional encoding | -| `negative` | CONDITIONING | Negative conditioning with zero values for contrastive learning | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Positive conditioning containing the combined multi-view embeddings with positional encoding | CONDITIONING | +| `negative` | Negative conditioning with zero values for contrastive learning | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/en.md) --- **Source fingerprint (SHA-256):** `b1e745e1b626508c974d3a90029f70b224bfefbe0988e98462fc9cb68d46a8f2` diff --git a/built-in-nodes/HunyuanImageToVideo.mdx b/built-in-nodes/HunyuanImageToVideo.mdx index 8577734f6..7ca2fe242 100644 --- a/built-in-nodes/HunyuanImageToVideo.mdx +++ b/built-in-nodes/HunyuanImageToVideo.mdx @@ -5,22 +5,20 @@ sidebarTitle: "HunyuanImageToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanImageToVideo/en.md) - The HunyuanImageToVideo node converts images into video latent representations using the Hunyuan video model. It takes conditioning inputs and optional starting images to generate video latents that can be further processed by video generation models. The node supports different guidance types for controlling how the starting image influences the video generation process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning input for guiding the video generation | -| `vae` | VAE | Yes | - | VAE model used for encoding images into latent space | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Width of the output video in pixels (default: 848, step: 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Height of the output video in pixels (default: 480, step: 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the output video (default: 53, step: 4) | -| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | -| `guidance_type` | COMBO | Yes | "v1 (concat)"
"v2 (replace)"
"custom" | Method for incorporating the starting image into video generation (default: "v1 (concat)") | -| `start_image` | IMAGE | No | - | Optional starting image to initialize the video generation | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning input for guiding the video generation | CONDITIONING | Yes | - | +| `vae` | VAE model used for encoding images into latent space | VAE | Yes | - | +| `width` | Width of the output video in pixels (default: 848, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Height of the output video in pixels (default: 480, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | Number of frames in the output video (default: 53, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | Number of videos to generate simultaneously (default: 1) | INT | Yes | 1 to 4096 | +| `guidance_type` | Method for incorporating the starting image into video generation (default: "v1 (concat)") | COMBO | Yes | "v1 (concat)"
"v2 (replace)"
"custom" | +| `start_image` | Optional starting image to initialize the video generation | IMAGE | No | - | **Note:** When `start_image` is provided, the node uses different guidance methods based on the selected `guidance_type`: @@ -30,10 +28,12 @@ The HunyuanImageToVideo node converts images into video latent representations u ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Modified positive conditioning with image guidance applied when start_image is provided | -| `latent` | LATENT | Video latent representation ready for further processing by video generation models | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Modified positive conditioning with image guidance applied when start_image is provided | CONDITIONING | +| `latent` | Video latent representation ready for further processing by video generation models | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanImageToVideo/en.md) --- **Source fingerprint (SHA-256):** `171e60e0ff5bbe2715b83693212e91dd9a3e2236e7b4437c7e33929d6143ae4f` diff --git a/built-in-nodes/HunyuanRefinerLatent.mdx b/built-in-nodes/HunyuanRefinerLatent.mdx index 5bf17d659..3e4936a7e 100644 --- a/built-in-nodes/HunyuanRefinerLatent.mdx +++ b/built-in-nodes/HunyuanRefinerLatent.mdx @@ -5,26 +5,26 @@ sidebarTitle: "HunyuanRefinerLatent" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanRefinerLatent/en.md) - The HunyuanRefinerLatent node processes conditioning and latent inputs for refinement operations. It applies noise augmentation to both positive and negative conditioning while incorporating latent image data, and generates a new latent output with specific dimensions for further processing. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The positive conditioning input to be processed | -| `negative` | CONDITIONING | Yes | - | The negative conditioning input to be processed | -| `latent` | LATENT | Yes | - | The latent representation input | -| `noise_augmentation` | FLOAT | Yes | 0.0 - 1.0 | The amount of noise augmentation to apply (default: 0.10) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning input to be processed | CONDITIONING | Yes | - | +| `negative` | The negative conditioning input to be processed | CONDITIONING | Yes | - | +| `latent` | The latent representation input | LATENT | Yes | - | +| `noise_augmentation` | The amount of noise augmentation to apply (default: 0.10) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The processed positive conditioning with applied noise augmentation and latent image concatenation | -| `negative` | CONDITIONING | The processed negative conditioning with applied noise augmentation and latent image concatenation | -| `latent` | LATENT | A new latent output with dimensions [batch_size, 32, height, width, channels] | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The processed positive conditioning with applied noise augmentation and latent image concatenation | CONDITIONING | +| `negative` | The processed negative conditioning with applied noise augmentation and latent image concatenation | CONDITIONING | +| `latent` | A new latent output with dimensions [batch_size, 32, height, width, channels] | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanRefinerLatent/en.md) --- **Source fingerprint (SHA-256):** `da9ba6729a4ff9147e3783841200ae5b6a9a20ab396e82d7ac6300faec3dc8f9` diff --git a/built-in-nodes/HunyuanVideo15ImageToVideo.mdx b/built-in-nodes/HunyuanVideo15ImageToVideo.mdx index 42aef410b..645b6bba1 100644 --- a/built-in-nodes/HunyuanVideo15ImageToVideo.mdx +++ b/built-in-nodes/HunyuanVideo15ImageToVideo.mdx @@ -5,33 +5,33 @@ sidebarTitle: "HunyuanVideo15ImageToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15ImageToVideo/en.md) - The HunyuanVideo15ImageToVideo node prepares conditioning and latent space data for video generation based on the HunyuanVideo 1.5 model. It creates an initial latent representation for a video sequence and can optionally integrate a starting image or a CLIP vision output to guide the generation process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The positive conditioning prompts that describe what the video should contain. | -| `negative` | CONDITIONING | Yes | - | The negative conditioning prompts that describe what the video should avoid. | -| `vae` | VAE | Yes | - | The VAE (Variational Autoencoder) model used to encode the starting image into the latent space. | -| `width` | INT | No | 16 to MAX_RESOLUTION, step: 16 | The width of the output video frames in pixels. Must be divisible by 16. (default: 848) | -| `height` | INT | No | 16 to MAX_RESOLUTION, step: 16 | The height of the output video frames in pixels. Must be divisible by 16. (default: 480) | -| `length` | INT | No | 1 to MAX_RESOLUTION, step: 4 | The total number of frames in the video sequence. Must be a multiple of 4. (default: 33) | -| `batch_size` | INT | No | 1 to 4096 | The number of video sequences to generate in a single batch. (default: 1) | -| `start_image` | IMAGE | No | - | An optional starting image to initialize the video generation. If provided, it is encoded and used to condition the first frames. Only the first `length` frames of the image are used. | -| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision embeddings to provide additional visual conditioning for the generation. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning prompts that describe what the video should contain. | CONDITIONING | Yes | - | +| `negative` | The negative conditioning prompts that describe what the video should avoid. | CONDITIONING | Yes | - | +| `vae` | The VAE (Variational Autoencoder) model used to encode the starting image into the latent space. | VAE | Yes | - | +| `width` | The width of the output video frames in pixels. Must be divisible by 16. (default: 848) | INT | No | 16 to MAX_RESOLUTION, step: 16 | +| `height` | The height of the output video frames in pixels. Must be divisible by 16. (default: 480) | INT | No | 16 to MAX_RESOLUTION, step: 16 | +| `length` | The total number of frames in the video sequence. Must be a multiple of 4. (default: 33) | INT | No | 1 to MAX_RESOLUTION, step: 4 | +| `batch_size` | The number of video sequences to generate in a single batch. (default: 1) | INT | No | 1 to 4096 | +| `start_image` | An optional starting image to initialize the video generation. If provided, it is encoded and used to condition the first frames. Only the first `length` frames of the image are used. | IMAGE | No | - | +| `clip_vision_output` | Optional CLIP vision embeddings to provide additional visual conditioning for the generation. | CLIP_VISION_OUTPUT | No | - | **Note:** When a `start_image` is provided, it is automatically resized to match the specified `width` and `height` using bilinear interpolation. The first `length` frames of the image batch are used. The encoded image is then added to both the `positive` and `negative` conditioning as a `concat_latent_image` with a corresponding `concat_mask`. The mask is set to 0.0 for the frames covered by the starting image and 1.0 for the remaining frames. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The modified positive conditioning, which may now include the encoded starting image or CLIP vision output. | -| `negative` | CONDITIONING | The modified negative conditioning, which may now include the encoded starting image or CLIP vision output. | -| `latent` | LATENT | An empty latent tensor with dimensions configured for the specified batch size, video length, width, and height. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The modified positive conditioning, which may now include the encoded starting image or CLIP vision output. | CONDITIONING | +| `negative` | The modified negative conditioning, which may now include the encoded starting image or CLIP vision output. | CONDITIONING | +| `latent` | An empty latent tensor with dimensions configured for the specified batch size, video length, width, and height. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15ImageToVideo/en.md) --- **Source fingerprint (SHA-256):** `383b965a2e67c3643a13991ea5969c4d31ce17e48a57a400f89974f64e4b1e04` diff --git a/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx b/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx index b115d462e..5ca85bace 100644 --- a/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx +++ b/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx @@ -5,28 +5,28 @@ sidebarTitle: "HunyuanVideo15LatentUpscaleWithModel" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/en.md) - The Hunyuan Video 15 Latent Upscale With Model node increases the resolution of a latent image representation. It first upscales the latent samples to a specified size using a chosen interpolation method, then refines the upscaled result using a specialized Hunyuan Video 1.5 upscale model to improve quality. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | LATENT_UPSCALE_MODEL | Yes | N/A | The Hunyuan Video 1.5 latent upscale model used to refine the upscaled samples. | -| `samples` | LATENT | Yes | N/A | The latent image representation to be upscaled. | -| `upscale_method` | COMBO | No | `"nearest-exact"`
`"bilinear"`
`"area"`
`"bicubic"`
`"bislerp"` | The interpolation algorithm used for the initial upscaling step (default: `"bilinear"`). | -| `width` | INT | No | 0 to 16384 | The target width for the upscaled latent, in pixels. A value of 0 will calculate the width automatically based on the target height and the original aspect ratio. The final output width will be a multiple of 16 (default: 1280). | -| `height` | INT | No | 0 to 16384 | The target height for the upscaled latent, in pixels. A value of 0 will calculate the height automatically based on the target width and the original aspect ratio. The final output height will be a multiple of 16 (default: 720). | -| `crop` | COMBO | No | `"disabled"`
`"center"` | Determines how the upscaled latent is cropped to fit the target dimensions. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The Hunyuan Video 1.5 latent upscale model used to refine the upscaled samples. | LATENT_UPSCALE_MODEL | Yes | N/A | +| `samples` | The latent image representation to be upscaled. | LATENT | Yes | N/A | +| `upscale_method` | The interpolation algorithm used for the initial upscaling step (default: `"bilinear"`). | COMBO | No | `"nearest-exact"`
`"bilinear"`
`"area"`
`"bicubic"`
`"bislerp"` | +| `width` | The target width for the upscaled latent, in pixels. A value of 0 will calculate the width automatically based on the target height and the original aspect ratio. The final output width will be a multiple of 16 (default: 1280). | INT | No | 0 to 16384 | +| `height` | The target height for the upscaled latent, in pixels. A value of 0 will calculate the height automatically based on the target width and the original aspect ratio. The final output height will be a multiple of 16 (default: 720). | INT | No | 0 to 16384 | +| `crop` | Determines how the upscaled latent is cropped to fit the target dimensions. | COMBO | No | `"disabled"`
`"center"` | **Note on Dimensions:** If both `width` and `height` are set to 0, the node returns the input `samples` unchanged. If only one dimension is set to 0, the other dimension is calculated to preserve the original aspect ratio. The final dimensions are always adjusted to be at least 64 pixels and are divisible by 16. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `LATENT` | LATENT | The upscaled and model-refined latent image representation. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `LATENT` | The upscaled and model-refined latent image representation. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/en.md) --- **Source fingerprint (SHA-256):** `2d249b1bf8eca3a27952cedfc4001b19efeeaeddb6ce461bdfc9b8bb3f2ada82` diff --git a/built-in-nodes/HunyuanVideo15SuperResolution.mdx b/built-in-nodes/HunyuanVideo15SuperResolution.mdx index c48f4f3fb..ac7994c2b 100644 --- a/built-in-nodes/HunyuanVideo15SuperResolution.mdx +++ b/built-in-nodes/HunyuanVideo15SuperResolution.mdx @@ -5,31 +5,31 @@ sidebarTitle: "HunyuanVideo15SuperResolution" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15SuperResolution/en.md) - The HunyuanVideo15SuperResolution node prepares conditioning data for a video super-resolution process. It takes a latent representation of a video and, optionally, a starting image, and packages them along with noise augmentation and CLIP vision data into a format that can be used by a model to generate a higher-resolution output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | N/A | The positive conditioning input to be modified with latent and augmentation data. | -| `negative` | CONDITIONING | Yes | N/A | The negative conditioning input to be modified with latent and augmentation data. | -| `vae` | VAE | No | N/A | The VAE used to encode the optional `start_image`. Required if `start_image` is provided. | -| `start_image` | IMAGE | No | N/A | An optional starting image to guide the super-resolution. If provided, it will be upscaled and encoded into the conditioning latent. | -| `clip_vision_output` | CLIP_VISION_OUTPUT | No | N/A | Optional CLIP vision embeddings to add to the conditioning. | -| `latent` | LATENT | Yes | N/A | The input latent video representation that will be incorporated into the conditioning. | -| `noise_augmentation` | FLOAT | No | 0.0 - 1.0 | The strength of noise augmentation to apply to the conditioning (default: 0.70). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning input to be modified with latent and augmentation data. | CONDITIONING | Yes | N/A | +| `negative` | The negative conditioning input to be modified with latent and augmentation data. | CONDITIONING | Yes | N/A | +| `vae` | The VAE used to encode the optional `start_image`. Required if `start_image` is provided. | VAE | No | N/A | +| `start_image` | An optional starting image to guide the super-resolution. If provided, it will be upscaled and encoded into the conditioning latent. | IMAGE | No | N/A | +| `clip_vision_output` | Optional CLIP vision embeddings to add to the conditioning. | CLIP_VISION_OUTPUT | No | N/A | +| `latent` | The input latent video representation that will be incorporated into the conditioning. | LATENT | Yes | N/A | +| `noise_augmentation` | The strength of noise augmentation to apply to the conditioning (default: 0.70). | FLOAT | No | 0.0 - 1.0 | **Note:** If you provide a `start_image`, you must also connect a `vae` for it to be encoded. The `start_image` will be automatically upscaled to match the dimensions implied by the input `latent`. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The modified positive conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data. | -| `negative` | CONDITIONING | The modified negative conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data. | -| `latent` | LATENT | The input latent is passed through unchanged. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The modified positive conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data. | CONDITIONING | +| `negative` | The modified negative conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data. | CONDITIONING | +| `latent` | The input latent is passed through unchanged. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15SuperResolution/en.md) --- **Source fingerprint (SHA-256):** `12bb48e731a265f806e5961950b3fc9c64e30148785e443a40c8d9f3ad9484e4` diff --git a/built-in-nodes/HyperTile.mdx b/built-in-nodes/HyperTile.mdx index 62e8db59b..d8234e639 100644 --- a/built-in-nodes/HyperTile.mdx +++ b/built-in-nodes/HyperTile.mdx @@ -5,25 +5,25 @@ sidebarTitle: "HyperTile" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HyperTile/en.md) - The HyperTile node applies a tiling technique to the attention mechanism in diffusion models to optimize memory usage during image generation. It divides the latent space into smaller tiles and processes them separately, then reassembles the results. This allows for working with larger image sizes without running out of memory. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model to apply the HyperTile optimization to | -| `tile_size` | INT | No | 1 - 2048 | The target tile size for processing (default: 256). The effective tile size is rounded down to a multiple of 8, with a minimum of 32. | -| `swap_size` | INT | No | 1 - 128 | Controls how the tiles are rearranged during processing to improve efficiency (default: 2) | -| `max_depth` | INT | No | 0 - 10 | The maximum depth level (resolution scale) to apply tiling. A value of 0 applies tiling only at the highest resolution (default: 0) | -| `scale_depth` | BOOLEAN | No | True / False | When enabled, the tile size is scaled proportionally at deeper depth levels. This can help maintain quality at lower resolutions (default: False) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to apply the HyperTile optimization to | MODEL | Yes | - | +| `tile_size` | The target tile size for processing (default: 256). The effective tile size is rounded down to a multiple of 8, with a minimum of 32. | INT | No | 1 - 2048 | +| `swap_size` | Controls how the tiles are rearranged during processing to improve efficiency (default: 2) | INT | No | 1 - 128 | +| `max_depth` | The maximum depth level (resolution scale) to apply tiling. A value of 0 applies tiling only at the highest resolution (default: 0) | INT | No | 0 - 10 | +| `scale_depth` | When enabled, the tile size is scaled proportionally at deeper depth levels. This can help maintain quality at lower resolutions (default: False) | BOOLEAN | No | True / False | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with HyperTile optimization applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with HyperTile optimization applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HyperTile/en.md) --- **Source fingerprint (SHA-256):** `ea770eea3c628ffb166c2a15a6f75757cebd99c3fdd6225f041b3ef01a0e73c7` diff --git a/built-in-nodes/HypernetworkLoader.mdx b/built-in-nodes/HypernetworkLoader.mdx index 4e54d676e..2b85ebe65 100644 --- a/built-in-nodes/HypernetworkLoader.mdx +++ b/built-in-nodes/HypernetworkLoader.mdx @@ -11,14 +11,16 @@ The HypernetworkLoader node is designed to enhance or modify the capabilities of ## Inputs -| Field | Comfy dtype | Description | -|-----------------------|-------------------|----------------------------------------------------------------------------------------------| -| `model` | `MODEL` | The base model to which the hypernetwork will be applied, determining the architecture to be enhanced or modified. | -| `hypernetwork_name` | `COMBO[STRING]` | The name of the hypernetwork to be loaded and applied to the model, impacting the model's modified behavior or performance. | -| `strength` | `FLOAT` | A scalar adjusting the intensity of the hypernetwork's effect on the model, allowing fine-tuning of the alterations. | +| Field | Description | Comfy dtype | +| --- | --- | --- | +| `model` | The base model to which the hypernetwork will be applied, determining the architecture to be enhanced or modified. | `MODEL` | +| `hypernetwork_name` | The name of the hypernetwork to be loaded and applied to the model, impacting the model's modified behavior or performance. | `COMBO[STRING]` | +| `strength` | A scalar adjusting the intensity of the hypernetwork's effect on the model, allowing fine-tuning of the alterations. | `FLOAT` | ## Outputs -| Field | Data Type | Description | -|---------|-------------|--------------------------------------------------------------------------| -| `model` | `MODEL` | The modified model after the hypernetwork has been applied, showcasing the impact of the hypernetwork on the original model. | +| Field | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model after the hypernetwork has been applied, showcasing the impact of the hypernetwork on the original model. | `MODEL` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HypernetworkLoader/en.md) diff --git a/built-in-nodes/Ideogram4Scheduler.mdx b/built-in-nodes/Ideogram4Scheduler.mdx new file mode 100644 index 000000000..701849c34 --- /dev/null +++ b/built-in-nodes/Ideogram4Scheduler.mdx @@ -0,0 +1,31 @@ +--- +title: "Ideogram4Scheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Ideogram4Scheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Ideogram4Scheduler" +icon: "circle" +mode: wide +--- +# Ideogram 4 Scheduler + +The Ideogram 4 Scheduler node generates a sequence of sigma values (noise levels) for the diffusion sampling process, based on the Ideogram 4 reference schedule. It creates a custom noise schedule that adapts to the image dimensions and allows fine-tuning through statistical parameters. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `steps` | The number of sampling steps to generate the schedule for (default: 20) | INT | Yes | 1 to 200 | +| `width` | The width of the image in pixels (default: 1024) | INT | Yes | 256 to 8192 (step: 16) | +| `height` | The height of the image in pixels (default: 1024) | INT | Yes | 256 to 8192 (step: 16) | +| `mu` | The mean parameter for the logit-normal distribution, controlling the central noise level (default: 0.0) | FLOAT | Yes | -10.0 to 10.0 (step: 0.05) | +| `std` | The standard deviation parameter for the logit-normal distribution, controlling the spread of noise levels (default: 1.75) | FLOAT | Yes | 0.1 to 5.0 (step: 0.05) | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `SIGMAS` | A tensor of sigma values representing the noise schedule, with length equal to `steps + 1`. The values descend from high noise to low noise, with the final value set to 0.0 for complete denoising. | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Ideogram4Scheduler/en.md) + +--- +**Source fingerprint (SHA-256):** `408ea680158500690e28e300098a5c4fd13eb1a2c96c3d95db06244151116f22` diff --git a/built-in-nodes/IdeogramV1.mdx b/built-in-nodes/IdeogramV1.mdx index 32f0cba0b..bf50c9404 100644 --- a/built-in-nodes/IdeogramV1.mdx +++ b/built-in-nodes/IdeogramV1.mdx @@ -5,29 +5,29 @@ sidebarTitle: "IdeogramV1" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV1/en.md) - The IdeogramV1 node generates images using the Ideogram V1 model through an API. It takes text prompts and various generation settings to create one or more images based on your input. The node supports different aspect ratios and generation modes to customize the output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty) | -| `turbo` | BOOLEAN | Yes | - | Whether to use turbo mode (faster generation, potentially lower quality) (default: False) | -| `aspect_ratio` | COMBO | No | "1:1"
"4:3"
"3:4"
"16:9"
"9:16"
"2:1"
"1:2"
"3:2"
"2:3"
"4:5"
"5:4" | The aspect ratio for image generation (default: "1:1") | -| `magic_prompt_option` | COMBO | No | "AUTO"
"ON"
"OFF" | Determine if MagicPrompt should be used in generation (default: "AUTO") | -| `seed` | INT | No | 0-2147483647 | Random seed value for generation (default: 0) | -| `negative_prompt` | STRING | No | - | Description of what to exclude from the image (default: empty) | -| `num_images` | INT | No | 1-8 | Number of images to generate (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the image generation (default: empty) | STRING | Yes | - | +| `turbo` | Whether to use turbo mode (faster generation, potentially lower quality) (default: False) | BOOLEAN | Yes | - | +| `aspect_ratio` | The aspect ratio for image generation (default: "1:1") | COMBO | No | "1:1"
"4:3"
"3:4"
"16:9"
"9:16"
"2:1"
"1:2"
"3:2"
"2:3"
"4:5"
"5:4" | +| `magic_prompt_option` | Determine if MagicPrompt should be used in generation (default: "AUTO") | COMBO | No | "AUTO"
"ON"
"OFF" | +| `seed` | Random seed value for generation (default: 0) | INT | No | 0-2147483647 | +| `negative_prompt` | Description of what to exclude from the image (default: empty) | STRING | No | - | +| `num_images` | Number of images to generate (default: 1) | INT | No | 1-8 | **Note:** The `num_images` parameter has a maximum limit of 8 images per generation request. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The generated image(s) from the Ideogram V1 model | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated image(s) from the Ideogram V1 model | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV1/en.md) --- **Source fingerprint (SHA-256):** `a42654aea292811c5f872911d6ea7303a83ea058c7132737375d81c5c8a77740` diff --git a/built-in-nodes/IdeogramV2.mdx b/built-in-nodes/IdeogramV2.mdx index 5183024d4..022d54bf8 100644 --- a/built-in-nodes/IdeogramV2.mdx +++ b/built-in-nodes/IdeogramV2.mdx @@ -5,31 +5,31 @@ sidebarTitle: "IdeogramV2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV2/en.md) - The Ideogram V2 node generates images using the Ideogram V2 AI model. It takes text prompts and various generation settings to create images through an API service. The node supports different aspect ratios, resolutions, and style options to customize the output images. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string) | -| `turbo` | BOOLEAN | No | - | Whether to use turbo mode (faster generation, potentially lower quality) (default: False) | -| `aspect_ratio` | COMBO | No | "1:1"
"4:3"
"3:4"
"16:9"
"9:16"
"2:1"
"1:2"
"3:2"
"2:3"
"4:5"
"5:4" | The aspect ratio for image generation. Ignored if resolution is not set to AUTO. (default: "1:1") | -| `resolution` | COMBO | No | "Auto"
"512 x 1536"
"576 x 1408"
"576 x 1472"
"576 x 1536"
"640 x 1024"
"640 x 1344"
"640 x 1408"
"640 x 1472"
"640 x 1536"
"704 x 1152"
"704 x 1216"
"704 x 1280"
"704 x 1344"
"704 x 1408"
"704 x 1472"
"720 x 1280"
"736 x 1312"
"768 x 1024"
"768 x 1088"
"768 x 1152"
"768 x 1216"
"768 x 1232"
"768 x 1280"
"768 x 1344"
"832 x 960"
"832 x 1024"
"832 x 1088"
"832 x 1152"
"832 x 1216"
"832 x 1248"
"864 x 1152"
"896 x 960"
"896 x 1024"
"896 x 1088"
"896 x 1120"
"896 x 1152"
"960 x 832"
"960 x 896"
"960 x 1024"
"960 x 1088"
"1024 x 640"
"1024 x 768"
"1024 x 832"
"1024 x 896"
"1024 x 960"
"1024 x 1024"
"1088 x 768"
"1088 x 832"
"1088 x 896"
"1088 x 960"
"1120 x 896"
"1152 x 704"
"1152 x 768"
"1152 x 832"
"1152 x 864"
"1152 x 896"
"1216 x 704"
"1216 x 768"
"1216 x 832"
"1232 x 768"
"1248 x 832"
"1280 x 704"
"1280 x 720"
"1280 x 768"
"1280 x 800"
"1312 x 736"
"1344 x 640"
"1344 x 704"
"1344 x 768"
"1408 x 576"
"1408 x 640"
"1408 x 704"
"1472 x 576"
"1472 x 640"
"1472 x 704"
"1536 x 512"
"1536 x 576"
"1536 x 640" | The resolution for image generation. If not set to AUTO, this overrides the aspect_ratio setting. (default: "Auto") | -| `magic_prompt_option` | COMBO | No | "AUTO"
"ON"
"OFF" | Determine if MagicPrompt should be used in generation (default: "AUTO") | -| `seed` | INT | No | 0-2147483647 | Random seed for generation (default: 0) | -| `style_type` | COMBO | No | "AUTO"
"GENERAL"
"REALISTIC"
"DESIGN"
"RENDER_3D"
"ANIME" | Style type for generation (V2 only) (default: "NONE") | -| `negative_prompt` | STRING | No | - | Description of what to exclude from the image (default: empty string) | -| `num_images` | INT | No | 1-8 | Number of images to generate (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the image generation (default: empty string) | STRING | Yes | - | +| `turbo` | Whether to use turbo mode (faster generation, potentially lower quality) (default: False) | BOOLEAN | No | - | +| `aspect_ratio` | The aspect ratio for image generation. Ignored if resolution is not set to AUTO. (default: "1:1") | COMBO | No | "1:1"
"4:3"
"3:4"
"16:9"
"9:16"
"2:1"
"1:2"
"3:2"
"2:3"
"4:5"
"5:4" | +| `resolution` | The resolution for image generation. If not set to AUTO, this overrides the aspect_ratio setting. (default: "Auto") | COMBO | No | "Auto"
"512 x 1536"
"576 x 1408"
"576 x 1472"
"576 x 1536"
"640 x 1024"
"640 x 1344"
"640 x 1408"
"640 x 1472"
"640 x 1536"
"704 x 1152"
"704 x 1216"
"704 x 1280"
"704 x 1344"
"704 x 1408"
"704 x 1472"
"720 x 1280"
"736 x 1312"
"768 x 1024"
"768 x 1088"
"768 x 1152"
"768 x 1216"
"768 x 1232"
"768 x 1280"
"768 x 1344"
"832 x 960"
"832 x 1024"
"832 x 1088"
"832 x 1152"
"832 x 1216"
"832 x 1248"
"864 x 1152"
"896 x 960"
"896 x 1024"
"896 x 1088"
"896 x 1120"
"896 x 1152"
"960 x 832"
"960 x 896"
"960 x 1024"
"960 x 1088"
"1024 x 640"
"1024 x 768"
"1024 x 832"
"1024 x 896"
"1024 x 960"
"1024 x 1024"
"1088 x 768"
"1088 x 832"
"1088 x 896"
"1088 x 960"
"1120 x 896"
"1152 x 704"
"1152 x 768"
"1152 x 832"
"1152 x 864"
"1152 x 896"
"1216 x 704"
"1216 x 768"
"1216 x 832"
"1232 x 768"
"1248 x 832"
"1280 x 704"
"1280 x 720"
"1280 x 768"
"1280 x 800"
"1312 x 736"
"1344 x 640"
"1344 x 704"
"1344 x 768"
"1408 x 576"
"1408 x 640"
"1408 x 704"
"1472 x 576"
"1472 x 640"
"1472 x 704"
"1536 x 512"
"1536 x 576"
"1536 x 640" | +| `magic_prompt_option` | Determine if MagicPrompt should be used in generation (default: "AUTO") | COMBO | No | "AUTO"
"ON"
"OFF" | +| `seed` | Random seed for generation (default: 0) | INT | No | 0-2147483647 | +| `style_type` | Style type for generation (V2 only) (default: "NONE") | COMBO | No | "AUTO"
"GENERAL"
"REALISTIC"
"DESIGN"
"RENDER_3D"
"ANIME" | +| `negative_prompt` | Description of what to exclude from the image (default: empty string) | STRING | No | - | +| `num_images` | Number of images to generate (default: 1) | INT | No | 1-8 | **Note:** When `resolution` is not set to "Auto", it overrides the `aspect_ratio` setting. The `num_images` parameter has a maximum limit of 8 images per generation. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The generated image(s) from the Ideogram V2 model | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated image(s) from the Ideogram V2 model | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV2/en.md) --- **Source fingerprint (SHA-256):** `6d1f0d536756252434a1a831cd96228ee2386bfcaa60555acfe4bab7d16b61e3` diff --git a/built-in-nodes/IdeogramV3.mdx b/built-in-nodes/IdeogramV3.mdx index d1bacfb8d..8e8588988 100644 --- a/built-in-nodes/IdeogramV3.mdx +++ b/built-in-nodes/IdeogramV3.mdx @@ -5,25 +5,23 @@ sidebarTitle: "IdeogramV3" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV3/en.md) - The Ideogram V3 node generates images using the Ideogram V3 model. It supports both regular image generation from text prompts and image editing when both an image and mask are provided. The node offers various controls for aspect ratio, resolution, generation speed, and optional character reference images. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Prompt for the image generation or editing (default: empty) | -| `image` | IMAGE | No | - | Optional reference image for image editing | -| `mask` | MASK | No | - | Optional mask for inpainting (white areas will be replaced) | -| `aspect_ratio` | COMBO | No | "1:1"
"1:3"
"3:1"
"1:2"
"2:1"
"9:16"
"16:9"
"10:16"
"16:10"
"2:3"
"3:2"
"3:4"
"4:3"
"4:5"
"5:4" | The aspect ratio for image generation. Ignored if resolution is not set to Auto (default: "1:1") | -| `resolution` | COMBO | No | "Auto"
"512x1536"
"576x1408"
"576x1472"
"576x1536"
"640x1344"
"640x1408"
"640x1472"
"640x1536"
"704x1152"
"704x1216"
"704x1280"
"704x1344"
"704x1408"
"704x1472"
"736x1312"
"768x1088"
"768x1216"
"768x1280"
"768x1344"
"800x1280"
"832x960"
"832x1024"
"832x1088"
"832x1152"
"832x1216"
"832x1248"
"864x1152"
"896x960"
"896x1024"
"896x1088"
"896x1120"
"896x1152"
"960x832"
"960x896"
"960x1024"
"960x1088"
"1024x832"
"1024x896"
"1024x960"
"1024x1024"
"1088x768"
"1088x832"
"1088x896"
"1088x960"
"1120x896"
"1152x704"
"1152x832"
"1152x864"
"1152x896"
"1216x704"
"1216x768"
"1216x832"
"1248x832"
"1280x704"
"1280x768"
"1280x800"
"1312x736"
"1344x640"
"1344x704"
"1344x768"
"1408x576"
"1408x640"
"1408x704"
"1472x576"
"1472x640"
"1472x704"
"1536x512"
"1536x576"
"1536x640" | The resolution for image generation. If not set to Auto, this overrides the aspect_ratio setting (default: "Auto") | -| `magic_prompt_option` | COMBO | No | "AUTO"
"ON"
"OFF" | Determine if MagicPrompt should be used in generation (default: "AUTO") | -| `seed` | INT | No | 0-2147483647 | Random seed for generation (default: 0) | -| `num_images` | INT | No | 1-8 | Number of images to generate (default: 1) | -| `rendering_speed` | COMBO | No | "DEFAULT"
"TURBO"
"QUALITY" | Controls the trade-off between generation speed and quality (default: "DEFAULT") | -| `character_image` | IMAGE | No | - | Image to use as character reference | -| `character_mask` | MASK | No | - | Optional mask for character reference image | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the image generation or editing (default: empty) | STRING | Yes | - | +| `image` | Optional reference image for image editing | IMAGE | No | - | +| `mask` | Optional mask for inpainting (white areas will be replaced) | MASK | No | - | +| `aspect_ratio` | The aspect ratio for image generation. Ignored if resolution is not set to Auto (default: "1:1") | COMBO | No | "1:1"
"1:3"
"3:1"
"1:2"
"2:1"
"9:16"
"16:9"
"10:16"
"16:10"
"2:3"
"3:2"
"3:4"
"4:3"
"4:5"
"5:4" | +| `resolution` | The resolution for image generation. If not set to Auto, this overrides the aspect_ratio setting (default: "Auto") | COMBO | No | "Auto"
"512x1536"
"576x1408"
"576x1472"
"576x1536"
"640x1344"
"640x1408"
"640x1472"
"640x1536"
"704x1152"
"704x1216"
"704x1280"
"704x1344"
"704x1408"
"704x1472"
"736x1312"
"768x1088"
"768x1216"
"768x1280"
"768x1344"
"800x1280"
"832x960"
"832x1024"
"832x1088"
"832x1152"
"832x1216"
"832x1248"
"864x1152"
"896x960"
"896x1024"
"896x1088"
"896x1120"
"896x1152"
"960x832"
"960x896"
"960x1024"
"960x1088"
"1024x832"
"1024x896"
"1024x960"
"1024x1024"
"1088x768"
"1088x832"
"1088x896"
"1088x960"
"1120x896"
"1152x704"
"1152x832"
"1152x864"
"1152x896"
"1216x704"
"1216x768"
"1216x832"
"1248x832"
"1280x704"
"1280x768"
"1280x800"
"1312x736"
"1344x640"
"1344x704"
"1344x768"
"1408x576"
"1408x640"
"1408x704"
"1472x576"
"1472x640"
"1472x704"
"1536x512"
"1536x576"
"1536x640" | +| `magic_prompt_option` | Determine if MagicPrompt should be used in generation (default: "AUTO") | COMBO | No | "AUTO"
"ON"
"OFF" | +| `seed` | Random seed for generation (default: 0) | INT | No | 0-2147483647 | +| `num_images` | Number of images to generate (default: 1) | INT | No | 1-8 | +| `rendering_speed` | Controls the trade-off between generation speed and quality (default: "DEFAULT") | COMBO | No | "DEFAULT"
"TURBO"
"QUALITY" | +| `character_image` | Image to use as character reference | IMAGE | No | - | +| `character_mask` | Optional mask for character reference image | MASK | No | - | **Parameter Constraints:** @@ -36,9 +34,11 @@ The Ideogram V3 node generates images using the Ideogram V3 model. It supports b ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The generated or edited image(s) | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated or edited image(s) | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV3/en.md) --- **Source fingerprint (SHA-256):** `b3ddd489ee96b4b378ae432254d8e97bccafc20e38055b213c0ad3b7818cb4c0` diff --git a/built-in-nodes/IdeogramV4.mdx b/built-in-nodes/IdeogramV4.mdx new file mode 100644 index 000000000..2b41a8dd3 --- /dev/null +++ b/built-in-nodes/IdeogramV4.mdx @@ -0,0 +1,30 @@ +--- +title: "IdeogramV4 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the IdeogramV4 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "IdeogramV4" +icon: "circle" +mode: wide +--- +# Ideogram V4 + +Generates images using the Ideogram 4.0 model from a text prompt. This node sends your text description to the Ideogram API and returns the generated image as an output tensor. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `prompt` | Text prompt for the image generation. | STRING | Yes | No restrictions | +| `resolution` | The resolution of the generated image. Default: "Auto" which lets the model choose the best resolution. | COMBO | Yes | `"Auto"`
`"2048x2048 (1:1)"`
`"1440x2880 (1:2)"`
`"2880x1440 (2:1)"`
`"1664x2496 (2:3)"`
`"2496x1664 (3:2)"`
`"1792x2240 (4:5)"`
`"2240x1792 (5:4)"`
`"1440x2560 (9:16)"`
`"2560x1440 (16:9)"`
`"1600x2560 (5:8)"`
`"2560x1600 (8:5)"`
`"1728x2304 (3:4)"`
`"2304x1728 (4:3)"`
`"1296x3168 (9:22)"`
`"3168x1296 (22:9)"`
`"1152x2944 (9:23)"`
`"2944x1152 (23:9)"`
`"1248x3328 (3:8)"`
`"3328x1248 (8:3)"`
`"1280x3072 (5:12)"`
`"3072x1280 (12:5)"` | +| `rendering_speed` | Controls the trade-off between generation speed and quality. Default: "DEFAULT". | COMBO | Yes | `"DEFAULT"`
`"TURBO"`
`"QUALITY"` | +| `seed` | Seed for reproducible generation. Default: 0. | INT | Yes | Min: 0
Max: 2147483647 | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `IMAGE` | The generated image as a tensor. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV4/en.md) + +--- +**Source fingerprint (SHA-256):** `47a486824211d34b9109c5038b0b094d192c4e243c0a6c4ceab13af3bdabe6e4` diff --git a/built-in-nodes/ImageAddNoise.mdx b/built-in-nodes/ImageAddNoise.mdx index 5feaa0ac9..d78cdbb12 100644 --- a/built-in-nodes/ImageAddNoise.mdx +++ b/built-in-nodes/ImageAddNoise.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ImageAddNoise" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageAddNoise/en.md) - The ImageAddNoise node adds random noise to an input image. It uses a specified random seed to generate consistent noise patterns and allows controlling the intensity of the noise effect. The resulting image maintains the same dimensions as the input but with added visual texture. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to which noise will be added | -| `seed` | INT | Yes | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0). This parameter supports "control after generate" functionality. | -| `strength` | FLOAT | Yes | 0.0 to 1.0 | Controls the intensity of the noise effect (default: 0.5, step: 0.01) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to which noise will be added | IMAGE | Yes | - | +| `seed` | The random seed used for creating the noise (default: 0). This parameter supports "control after generate" functionality. | INT | Yes | 0 to 18446744073709551615 | +| `strength` | Controls the intensity of the noise effect (default: 0.5, step: 0.01) | FLOAT | Yes | 0.0 to 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The output image with added noise applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The output image with added noise applied | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageAddNoise/en.md) --- **Source fingerprint (SHA-256):** `d35471d5402a322e175958c42a20c56a42199a129e8197030071a1495a9eab6a` diff --git a/built-in-nodes/ImageBatch.mdx b/built-in-nodes/ImageBatch.mdx index cf3db21e3..2473c95ba 100644 --- a/built-in-nodes/ImageBatch.mdx +++ b/built-in-nodes/ImageBatch.mdx @@ -9,13 +9,15 @@ The `ImageBatch` node is designed for combining two images into a single batch. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image1` | `IMAGE` | The first image to be combined into the batch. It serves as the reference for the dimensions to which the second image will be adjusted if necessary. | -| `image2` | `IMAGE` | The second image to be combined into the batch. It is automatically rescaled to match the dimensions of the first image if they differ. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image1` | The first image to be combined into the batch. It serves as the reference for the dimensions to which the second image will be adjusted if necessary. | `IMAGE` | +| `image2` | The second image to be combined into the batch. It is automatically rescaled to match the dimensions of the first image if they differ. | `IMAGE` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The combined batch of images, with the second image rescaled to match the first one's dimensions if needed. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The combined batch of images, with the second image rescaled to match the first one's dimensions if needed. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBatch/en.md) diff --git a/built-in-nodes/ImageBlend.mdx b/built-in-nodes/ImageBlend.mdx index 608e23c83..62833350d 100644 --- a/built-in-nodes/ImageBlend.mdx +++ b/built-in-nodes/ImageBlend.mdx @@ -9,15 +9,17 @@ The `ImageBlend` node is designed to blend two images together based on a specif ## Inputs -| Field | Data Type | Description | -|---------------|-------------|-----------------------------------------------------------------------------------| -| `image1` | `IMAGE` | The first image to be blended. It serves as the base layer for the blending operation. | -| `image2` | `IMAGE` | The second image to be blended. Depending on the blend mode, it modifies the appearance of the first image. | -| `blend_factor`| `FLOAT` | Determines the weight of the second image in the blend. A higher blend factor gives more prominence to the second image in the resulting blend. | -| `blend_mode` | COMBO[STRING] | Specifies the method of blending the two images. Supports modes like normal, multiply, screen, overlay, soft light, and difference, each producing a unique visual effect. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image1` | The first image to be blended. It serves as the base layer for the blending operation. | `IMAGE` | +| `image2` | The second image to be blended. Depending on the blend mode, it modifies the appearance of the first image. | `IMAGE` | +| `blend_factor` | Determines the weight of the second image in the blend. A higher blend factor gives more prominence to the second image in the resulting blend. | `FLOAT` | +| `blend_mode` | Specifies the method of blending the two images. Supports modes like normal, multiply, screen, overlay, soft light, and difference, each producing a unique visual effect. | COMBO[STRING] | ## Outputs -| Field | Data Type | Description | -|-------|-------------|--------------------------------------------------------------------------| -| `image`| `IMAGE` | The resulting image after blending the two input images according to the specified blend mode and factor. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The resulting image after blending the two input images according to the specified blend mode and factor. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBlend/en.md) diff --git a/built-in-nodes/ImageBlur.mdx b/built-in-nodes/ImageBlur.mdx index 3b9f313be..fe0043da4 100644 --- a/built-in-nodes/ImageBlur.mdx +++ b/built-in-nodes/ImageBlur.mdx @@ -9,14 +9,16 @@ The `ImageBlur` node applies a Gaussian blur to an image, allowing for the softe ## Inputs -| Field | Data Type | Description | -|----------------|-------------|-------------------------------------------------------------------------------| -| `image` | `IMAGE` | The input image to be blurred. This is the primary target for the blur effect. | -| `blur_radius` | `INT` | Determines the radius of the blur effect. A larger radius results in a more pronounced blur. | -| `sigma` | `FLOAT` | Controls the spread of the blur. A higher sigma value means the blur will affect a wider area around each pixel. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The input image to be blurred. This is the primary target for the blur effect. | `IMAGE` | +| `blur_radius` | Determines the radius of the blur effect. A larger radius results in a more pronounced blur. | `INT` | +| `sigma` | Controls the spread of the blur. A higher sigma value means the blur will affect a wider area around each pixel. | `FLOAT` | ## Outputs -| Field | Data Type | Description | -|-------|-------------|--------------------------------------------------------------------------| -| `image`| `IMAGE` | The output is the blurred version of the input image, with the degree of blur determined by the input parameters. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The output is the blurred version of the input image, with the degree of blur determined by the input parameters. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBlur/en.md) diff --git a/built-in-nodes/ImageColorToMask.mdx b/built-in-nodes/ImageColorToMask.mdx index 4233cbeec..9eebd9664 100644 --- a/built-in-nodes/ImageColorToMask.mdx +++ b/built-in-nodes/ImageColorToMask.mdx @@ -9,13 +9,15 @@ The `ImageColorToMask` node is designed to convert a specified color in an image ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The 'image' parameter represents the input image to be processed. It is crucial for determining the areas of the image that match the specified color to be converted into a mask. | -| `color` | `INT` | The 'color' parameter specifies the target color in the image to be converted into a mask. It plays a key role in identifying the specific color areas to be highlighted in the resulting mask. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The 'image' parameter represents the input image to be processed. It is crucial for determining the areas of the image that match the specified color to be converted into a mask. | `IMAGE` | +| `color` | The 'color' parameter specifies the target color in the image to be converted into a mask. It plays a key role in identifying the specific color areas to be highlighted in the resulting mask. | `INT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `mask` | `MASK` | The output is a mask highlighting the areas of the input image that match the specified color. This mask can be used for further image processing tasks, such as segmentation or object isolation. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | The output is a mask highlighting the areas of the input image that match the specified color. This mask can be used for further image processing tasks, such as segmentation or object isolation. | `MASK` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageColorToMask/en.md) diff --git a/built-in-nodes/ImageCompare.mdx b/built-in-nodes/ImageCompare.mdx index 74bd2f13d..4e6b801e1 100644 --- a/built-in-nodes/ImageCompare.mdx +++ b/built-in-nodes/ImageCompare.mdx @@ -5,17 +5,15 @@ sidebarTitle: "ImageCompare" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompare/en.md) - The Image Compare node provides a visual interface to compare two images side-by-side using a draggable slider. It is designed as an output node, meaning it does not pass data to other nodes but instead displays the images directly in the user interface for inspection. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image_a` | IMAGE | No | - | The first image to compare. | -| `image_b` | IMAGE | No | - | The second image to compare. | -| `compare_view` | IMAGECOMPARE | Yes | - | The control that enables the slider comparison view in the UI. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image_a` | The first image to compare. | IMAGE | No | - | +| `image_b` | The second image to compare. | IMAGE | No | - | +| `compare_view` | The control that enables the slider comparison view in the UI. | IMAGECOMPARE | Yes | - | **Note:** This node is an output node. While `image_a` and `image_b` are optional, at least one image must be provided for the node to have a visible effect. The node will display an empty area for any image input that is not connected. @@ -23,5 +21,7 @@ The Image Compare node provides a visual interface to compare two images side-by This node is an output node and does not produce any data outputs for use in other nodes. Its function is to display the provided images in the ComfyUI interface. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompare/en.md) + --- **Source fingerprint (SHA-256):** `78dc2addde0b1b867303b5f534c09b60342a3d94d829d314c71b29ce7707648e` diff --git a/built-in-nodes/ImageCompositeMasked.mdx b/built-in-nodes/ImageCompositeMasked.mdx index bc048ec51..7c17a6a5c 100644 --- a/built-in-nodes/ImageCompositeMasked.mdx +++ b/built-in-nodes/ImageCompositeMasked.mdx @@ -9,17 +9,19 @@ The `ImageCompositeMasked` node is designed for compositing images, allowing for ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `destination` | `IMAGE` | The destination image onto which the source image will be composited. It serves as the background for the composite operation. | -| `source` | `IMAGE` | The source image to be composited onto the destination image. This image can optionally be resized to fit the destination image's dimensions. | -| `x` | `INT` | The x-coordinate in the destination image where the top-left corner of the source image will be placed. | -| `y` | `INT` | The y-coordinate in the destination image where the top-left corner of the source image will be placed. | -| `resize_source` | `BOOLEAN` | A boolean flag indicating whether the source image should be resized to match the destination image's dimensions. | -| `mask` | `MASK` | An optional mask that specifies which parts of the source image should be composited onto the destination image. This allows for more complex compositing operations, such as blending or partial overlays. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `destination` | The destination image onto which the source image will be composited. It serves as the background for the composite operation. | `IMAGE` | +| `source` | The source image to be composited onto the destination image. This image can optionally be resized to fit the destination image's dimensions. | `IMAGE` | +| `x` | The x-coordinate in the destination image where the top-left corner of the source image will be placed. | `INT` | +| `y` | The y-coordinate in the destination image where the top-left corner of the source image will be placed. | `INT` | +| `resize_source` | A boolean flag indicating whether the source image should be resized to match the destination image's dimensions. | `BOOLEAN` | +| `mask` | An optional mask that specifies which parts of the source image should be composited onto the destination image. This allows for more complex compositing operations, such as blending or partial overlays. | `MASK` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The resulting image after the compositing operation, which combines elements of both t +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The resulting image after the compositing operation, which combines elements of both t | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompositeMasked/en.md) diff --git a/built-in-nodes/ImageCrop.mdx b/built-in-nodes/ImageCrop.mdx index c27e854df..9af59da73 100644 --- a/built-in-nodes/ImageCrop.mdx +++ b/built-in-nodes/ImageCrop.mdx @@ -9,16 +9,18 @@ The `ImageCrop` node is designed for cropping images to a specified width and he ## Inputs -| Field | Data Type | Description | -|-------|-------------|-----------------------------------------------------------------------------------------------| -| `image` | `IMAGE` | The input image to be cropped. This parameter is crucial as it defines the source image from which a region will be extracted based on the specified dimensions and coordinates. | -| `width` | `INT` | Specifies the width of the cropped image. This parameter determines how wide the resulting cropped image will be. | -| `height` | `INT` | Specifies the height of the cropped image. This parameter determines the height of the resulting cropped image. | -| `x` | `INT` | The x-coordinate of the top-left corner of the cropping area. This parameter sets the starting point for the width dimension of the crop. | -| `y` | `INT` | The y-coordinate of the top-left corner of the cropping area. This parameter sets the starting point for the height dimension of the crop. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The input image to be cropped. This parameter is crucial as it defines the source image from which a region will be extracted based on the specified dimensions and coordinates. | `IMAGE` | +| `width` | Specifies the width of the cropped image. This parameter determines how wide the resulting cropped image will be. | `INT` | +| `height` | Specifies the height of the cropped image. This parameter determines the height of the resulting cropped image. | `INT` | +| `x` | The x-coordinate of the top-left corner of the cropping area. This parameter sets the starting point for the width dimension of the crop. | `INT` | +| `y` | The y-coordinate of the top-left corner of the cropping area. This parameter sets the starting point for the height dimension of the crop. | `INT` | ## Outputs -| Field | Data Type | Description | -|-------|-------------|-------------------------------------------------------------------------------| -| `image` | `IMAGE` | The cropped image as a result of the cropping operation. This output is significant for further processing or analysis of the specified image region. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The cropped image as a result of the cropping operation. This output is significant for further processing or analysis of the specified image region. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCrop/en.md) diff --git a/built-in-nodes/ImageCropV2.mdx b/built-in-nodes/ImageCropV2.mdx index cd7e245e6..ff7716bec 100644 --- a/built-in-nodes/ImageCropV2.mdx +++ b/built-in-nodes/ImageCropV2.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ImageCropV2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/en.md) - The Crop Image node extracts a rectangular section from an input image. You define the region to keep by specifying its top-left corner coordinates and its width and height. The node then returns the cropped portion of the original image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | N/A | The input image to be cropped. | -| `crop_region` | BOUNDINGBOX | Yes | N/A | Defines the rectangular area to extract from the image. It is specified by `x` (horizontal start), `y` (vertical start), `width`, and `height`. If the defined region extends beyond the image's borders, it will be automatically adjusted to fit within the image dimensions. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be cropped. | IMAGE | Yes | N/A | +| `crop_region` | Defines the rectangular area to extract from the image. It is specified by `x` (horizontal start), `y` (vertical start), `width`, and `height`. If the defined region extends beyond the image's borders, it will be automatically adjusted to fit within the image dimensions. | BOUNDINGBOX | Yes | N/A | **Note on Region Constraints:** The crop region is automatically constrained to stay within the bounds of the input image. If the specified `x` or `y` coordinate is greater than the image's width or height, it will be set to the maximum valid position. The resulting crop width and height will be adjusted so the region does not exceed the image's edges. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The cropped section of the original input image. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The cropped section of the original input image. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/en.md) --- **Source fingerprint (SHA-256):** `c09c68a46c4b0418903a627b98dd848264d53b58bd3ffe99e40ef125b15b3aae` diff --git a/built-in-nodes/ImageDeduplication.mdx b/built-in-nodes/ImageDeduplication.mdx index ef4a190c0..745f7fcbf 100644 --- a/built-in-nodes/ImageDeduplication.mdx +++ b/built-in-nodes/ImageDeduplication.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ImageDeduplication" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageDeduplication/en.md) - This node removes duplicate or very similar images from a batch. It works by creating a perceptual hash for each image—a simple numerical fingerprint based on its visual content—and then comparing them. Images whose hashes are more similar than a set threshold are considered duplicates and filtered out. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | - | The batch of images to process for deduplication. | -| `similarity_threshold` | FLOAT | No | 0.0 - 1.0 | Similarity threshold (0-1). Higher means more similar. Images above this threshold are considered duplicates. (default: 0.95) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | The batch of images to process for deduplication. | IMAGE | Yes | - | +| `similarity_threshold` | Similarity threshold (0-1). Higher means more similar. Images above this threshold are considered duplicates. (default: 0.95) | FLOAT | No | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `images` | IMAGE | The filtered list of images with duplicates removed. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `images` | The filtered list of images with duplicates removed. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageDeduplication/en.md) --- **Source fingerprint (SHA-256):** `d0c40694853c3dd0952d58b920bf735a4626cb2921928bb982ba479dc58fbe53` diff --git a/built-in-nodes/ImageFlip.mdx b/built-in-nodes/ImageFlip.mdx index ac7d96497..be3396976 100644 --- a/built-in-nodes/ImageFlip.mdx +++ b/built-in-nodes/ImageFlip.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ImageFlip" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFlip/en.md) - The ImageFlip node flips images along different axes. It can flip images vertically along the x-axis or horizontally along the y-axis. The node uses torch.flip operations to perform the flipping based on the selected method. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be flipped | -| `flip_method` | STRING | Yes | "x-axis: vertically"
"y-axis: horizontally" | The flipping direction to apply (default: "x-axis: vertically") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be flipped | IMAGE | Yes | - | +| `flip_method` | The flipping direction to apply (default: "x-axis: vertically") | STRING | Yes | "x-axis: vertically"
"y-axis: horizontally" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The flipped output image | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The flipped output image | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFlip/en.md) --- **Source fingerprint (SHA-256):** `481cd167d57746f242fcc4b5f2e3bb0bff0184b5870626d5f24a34422464ddd6` diff --git a/built-in-nodes/ImageFromBatch.mdx b/built-in-nodes/ImageFromBatch.mdx index 10e7e72d1..89f54510a 100644 --- a/built-in-nodes/ImageFromBatch.mdx +++ b/built-in-nodes/ImageFromBatch.mdx @@ -9,14 +9,16 @@ The `ImageFromBatch` node is designed for extracting a specific segment of image ## Inputs -| Field | Data Type | Description | -|----------------|-------------|---------------------------------------------------------------------------------------| -| `image` | `IMAGE` | The batch of images from which a segment will be extracted. This parameter is crucial for specifying the source batch. | -| `batch_index` | `INT` | The starting index within the batch from which the extraction begins. It determines the initial position of the segment to be extracted from the batch. | -| `length` | `INT` | The number of images to extract from the batch starting from the batch_index. This parameter defines the size of the segment to be extracted. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The batch of images from which a segment will be extracted. This parameter is crucial for specifying the source batch. | `IMAGE` | +| `batch_index` | The starting index within the batch from which the extraction begins. It determines the initial position of the segment to be extracted from the batch. | `INT` | +| `length` | The number of images to extract from the batch starting from the batch_index. This parameter defines the size of the segment to be extracted. | `INT` | ## Outputs -| Field | Data Type | Description | -|-------|-------------|-----------------------------------------------------------------------------------------------| -| `image` | `IMAGE` | The extracted segment of images from the specified batch. This output represents a subset of the original batch, determined by the batch_index and length parameters. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The extracted segment of images from the specified batch. This output represents a subset of the original batch, determined by the batch_index and length parameters. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFromBatch/en.md) diff --git a/built-in-nodes/ImageGrid.mdx b/built-in-nodes/ImageGrid.mdx index 7e6e26bd9..a60f5334c 100644 --- a/built-in-nodes/ImageGrid.mdx +++ b/built-in-nodes/ImageGrid.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ImageGrid" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageGrid/en.md) - The Image Grid node combines multiple images into a single, organized grid or collage. It takes a list of images and arranges them into a specified number of columns, resizing each image to fit a defined cell size and adding optional padding between them. The result is a single, new image containing all the input images in a grid layout. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | - | A list of images to be arranged into the grid. The node requires at least one image to function. | -| `columns` | INT | No | 1 - 20 | The number of columns in the grid (default: 4). | -| `cell_width` | INT | No | 32 - 2048 | The width, in pixels, of each cell in the grid (default: 256). | -| `cell_height` | INT | No | 32 - 2048 | The height, in pixels, of each cell in the grid (default: 256). | -| `padding` | INT | No | 0 - 50 | The amount of padding, in pixels, to place between images in the grid (default: 4). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | A list of images to be arranged into the grid. The node requires at least one image to function. | IMAGE | Yes | - | +| `columns` | The number of columns in the grid (default: 4). | INT | No | 1 - 20 | +| `cell_width` | The width, in pixels, of each cell in the grid (default: 256). | INT | No | 32 - 2048 | +| `cell_height` | The height, in pixels, of each cell in the grid (default: 256). | INT | No | 32 - 2048 | +| `padding` | The amount of padding, in pixels, to place between images in the grid (default: 4). | INT | No | 0 - 50 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The single output image containing all the input images arranged in a grid. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The single output image containing all the input images arranged in a grid. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageGrid/en.md) --- **Source fingerprint (SHA-256):** `87bc0af8af33a0fd703f13fec782075502c9562847fa3887a2273afa5b28c47e` diff --git a/built-in-nodes/ImageHistogram.mdx b/built-in-nodes/ImageHistogram.mdx index 0d8b61fef..a056ab1f3 100644 --- a/built-in-nodes/ImageHistogram.mdx +++ b/built-in-nodes/ImageHistogram.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ImageHistogram" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageHistogram/en.md) - The ImageHistogram node analyzes the color distribution of an input image. It calculates and outputs several histograms, which are graphs showing how many pixels in the image have each possible intensity value. It generates separate histograms for the red, green, and blue color channels, a composite RGB histogram, and a luminance histogram based on a standard brightness formula. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | N/A | The input image to analyze. The node processes the first image in the batch. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to analyze. The node processes the first image in the batch. | IMAGE | Yes | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `rgb` | HISTOGRAM | A composite histogram representing the average pixel intensity across the red, green, and blue channels. | -| `luminance` | HISTOGRAM | A histogram of the image's perceived brightness, calculated using the ITU-R BT.709 standard luminance formula. | -| `red` | HISTOGRAM | A histogram showing the distribution of pixel intensities in the red color channel. | -| `green` | HISTOGRAM | A histogram showing the distribution of pixel intensities in the green color channel. | -| `blue` | HISTOGRAM | A histogram showing the distribution of pixel intensities in the blue color channel. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `rgb` | A composite histogram representing the average pixel intensity across the red, green, and blue channels. | HISTOGRAM | +| `luminance` | A histogram of the image's perceived brightness, calculated using the ITU-R BT.709 standard luminance formula. | HISTOGRAM | +| `red` | A histogram showing the distribution of pixel intensities in the red color channel. | HISTOGRAM | +| `green` | A histogram showing the distribution of pixel intensities in the green color channel. | HISTOGRAM | +| `blue` | A histogram showing the distribution of pixel intensities in the blue color channel. | HISTOGRAM | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageHistogram/en.md) --- **Source fingerprint (SHA-256):** `026a470129a49794bc1ddcdd3ecd8e8ad95b43fc94db4387f0e2de365b305879` diff --git a/built-in-nodes/ImageInvert.mdx b/built-in-nodes/ImageInvert.mdx index 825788bc4..73f50724f 100644 --- a/built-in-nodes/ImageInvert.mdx +++ b/built-in-nodes/ImageInvert.mdx @@ -9,12 +9,14 @@ The `ImageInvert` node is designed to invert the colors of an image, effectively ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The 'image' parameter represents the input image to be inverted. It is crucial for specifying the target image whose colors are to be inverted, affecting the node's execution and the visual outcome of the inversion process. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The 'image' parameter represents the input image to be inverted. It is crucial for specifying the target image whose colors are to be inverted, affecting the node's execution and the visual outcome of the inversion process. | `IMAGE` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The output is an inverted version of the input image, with each pixel's color value transformed to its complementary color. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The output is an inverted version of the input image, with each pixel's color value transformed to its complementary color. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageInvert/en.md) diff --git a/built-in-nodes/ImageMergeTileList.mdx b/built-in-nodes/ImageMergeTileList.mdx index 7ba68d497..d81762715 100644 --- a/built-in-nodes/ImageMergeTileList.mdx +++ b/built-in-nodes/ImageMergeTileList.mdx @@ -5,26 +5,26 @@ sidebarTitle: "ImageMergeTileList" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageMergeTileList/en.md) - This node takes a list of image tiles and merges them back into a single, larger image. It is designed to reconstruct an image that was previously split into a grid of overlapping tiles, using a weighted blending technique to create a seamless final result. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image_list` | IMAGE | Yes | N/A | A list of image tiles to be merged. The first tile in the list is used to determine the tile dimensions and data type for the entire process. | -| `final_width` | INT | Yes | 64 - 32768 | The width of the final merged image in pixels (default: 1024). | -| `final_height` | INT | Yes | 64 - 32768 | The height of the final merged image in pixels (default: 1024). | -| `overlap` | INT | Yes | 0 - 4096 | The amount of overlap between adjacent tiles in pixels. A value greater than 0 enables a smooth blending effect at the tile seams (default: 128). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image_list` | A list of image tiles to be merged. The first tile in the list is used to determine the tile dimensions and data type for the entire process. | IMAGE | Yes | N/A | +| `final_width` | The width of the final merged image in pixels (default: 1024). | INT | Yes | 64 - 32768 | +| `final_height` | The height of the final merged image in pixels (default: 1024). | INT | Yes | 64 - 32768 | +| `overlap` | The amount of overlap between adjacent tiles in pixels. A value greater than 0 enables a smooth blending effect at the tile seams (default: 128). | INT | Yes | 0 - 4096 | **Note:** The `image_list` is a dynamic input list. The node will process tiles in the order they are provided, up to the number required to fill the grid defined by the `final_width`, `final_height`, and the dimensions of the first tile. If the list contains more tiles than needed, the extra tiles are ignored. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The final merged image, reconstructed from the input tiles. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The final merged image, reconstructed from the input tiles. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageMergeTileList/en.md) --- **Source fingerprint (SHA-256):** `41b570bf758093f3693c015e7976b946b9d93ca56db2bf66617149f259ae8c06` diff --git a/built-in-nodes/ImageOnlyCheckpointLoader.mdx b/built-in-nodes/ImageOnlyCheckpointLoader.mdx index 0dafd000b..a7e9ddcfb 100644 --- a/built-in-nodes/ImageOnlyCheckpointLoader.mdx +++ b/built-in-nodes/ImageOnlyCheckpointLoader.mdx @@ -11,14 +11,16 @@ This node specializes in loading checkpoints specifically for image-based models ## Inputs -| Field | Data Type | Description | -|------------|-------------|-----------------------------------------------------------------------------------| -| `ckpt_name`| COMBO[STRING] | Specifies the name of the checkpoint to load, crucial for identifying and retrieving the correct checkpoint file from a predefined list. | +| Field | Description | Data Type | +| --- | --- | --- | +| `ckpt_name` | Specifies the name of the checkpoint to load, crucial for identifying and retrieving the correct checkpoint file from a predefined list. | COMBO[STRING] | ## Outputs -| Field | Data Type | Description | -|-----------|-------------|-----------------------------------------------------------------------------------------------| -| `model` | MODEL | Returns the main model loaded from the checkpoint, configured for image processing within video generation contexts. | -| `clip_vision` | `CLIP_VISION` | Provides the CLIP vision component from the checkpoint, tailored for image understanding and feature extraction. | -| `vae` | VAE | Delivers the Variational Autoencoder (VAE) component, essential for image manipulation and generation tasks. | +| Field | Description | Data Type | +| --- | --- | --- | +| `model` | Returns the main model loaded from the checkpoint, configured for image processing within video generation contexts. | MODEL | +| `clip_vision` | Provides the CLIP vision component from the checkpoint, tailored for image understanding and feature extraction. | `CLIP_VISION` | +| `vae` | Delivers the Variational Autoencoder (VAE) component, essential for image manipulation and generation tasks. | VAE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointLoader/en.md) diff --git a/built-in-nodes/ImageOnlyCheckpointSave.mdx b/built-in-nodes/ImageOnlyCheckpointSave.mdx index f455a4005..a2d1c5cd3 100644 --- a/built-in-nodes/ImageOnlyCheckpointSave.mdx +++ b/built-in-nodes/ImageOnlyCheckpointSave.mdx @@ -5,26 +5,26 @@ sidebarTitle: "ImageOnlyCheckpointSave" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointSave/en.md) - The ImageOnlyCheckpointSave node saves a checkpoint file containing a model, CLIP vision encoder, and VAE. It creates a safetensors file with the specified filename prefix and stores it in the output directory. This node is specifically designed for saving image-related model components together in a single checkpoint file. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to be saved in the checkpoint | -| `clip_vision` | CLIP_VISION | Yes | - | The CLIP vision encoder to be saved in the checkpoint | -| `vae` | VAE | Yes | - | The VAE (Variational Autoencoder) to be saved in the checkpoint | -| `filename_prefix` | STRING | Yes | - | The prefix for the output filename (default: "checkpoints/ComfyUI") | -| `prompt` | PROMPT | No | - | Hidden parameter for workflow prompt data | -| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Hidden parameter for additional PNG metadata | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to be saved in the checkpoint | MODEL | Yes | - | +| `clip_vision` | The CLIP vision encoder to be saved in the checkpoint | CLIP_VISION | Yes | - | +| `vae` | The VAE (Variational Autoencoder) to be saved in the checkpoint | VAE | Yes | - | +| `filename_prefix` | The prefix for the output filename (default: "checkpoints/ComfyUI") | STRING | Yes | - | +| `prompt` | Hidden parameter for workflow prompt data | PROMPT | No | - | +| `extra_pnginfo` | Hidden parameter for additional PNG metadata | EXTRA_PNGINFO | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| - | - | This node does not return any outputs | +| Output Name | Description | Data Type | +| --- | --- | --- | +| - | This node does not return any outputs | - | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointSave/en.md) --- **Source fingerprint (SHA-256):** `d2a26933f0e2fcccf3c57f50038fb40ef5b23d00ccdd2e1d215b3cb78203b9fd` diff --git a/built-in-nodes/ImagePadForOutpaint.mdx b/built-in-nodes/ImagePadForOutpaint.mdx index 52f5fec9c..df2f0bc49 100644 --- a/built-in-nodes/ImagePadForOutpaint.mdx +++ b/built-in-nodes/ImagePadForOutpaint.mdx @@ -9,18 +9,20 @@ This node is designed for preparing images for the outpainting process by adding ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The 'image' input is the primary image to be prepared for outpainting, serving as the base for padding operations. | -| `left` | `INT` | Specifies the amount of padding to add to the left side of the image, influencing the expanded area for outpainting. | -| `top` | `INT` | Determines the amount of padding to add to the top of the image, affecting the vertical expansion for outpainting. | -| `right` | `INT` | Defines the amount of padding to add to the right side of the image, impacting the horizontal expansion for outpainting. | -| `bottom` | `INT` | Indicates the amount of padding to add to the bottom of the image, contributing to the vertical expansion for outpainting. | -| `feathering` | `INT` | Controls the smoothness of the transition between the original image and the added padding, enhancing the visual integration for outpainting. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The 'image' input is the primary image to be prepared for outpainting, serving as the base for padding operations. | `IMAGE` | +| `left` | Specifies the amount of padding to add to the left side of the image, influencing the expanded area for outpainting. | `INT` | +| `top` | Determines the amount of padding to add to the top of the image, affecting the vertical expansion for outpainting. | `INT` | +| `right` | Defines the amount of padding to add to the right side of the image, impacting the horizontal expansion for outpainting. | `INT` | +| `bottom` | Indicates the amount of padding to add to the bottom of the image, contributing to the vertical expansion for outpainting. | `INT` | +| `feathering` | Controls the smoothness of the transition between the original image and the added padding, enhancing the visual integration for outpainting. | `INT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The output 'image' represents the padded image, ready for the outpainting process. | -| `mask` | `MASK` | The output 'mask' indicates the areas of the original image and the added padding, useful for guiding the outpainting algorithms. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The output 'image' represents the padded image, ready for the outpainting process. | `IMAGE` | +| `mask` | The output 'mask' indicates the areas of the original image and the added padding, useful for guiding the outpainting algorithms. | `MASK` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImagePadForOutpaint/en.md) diff --git a/built-in-nodes/ImageQuantize.mdx b/built-in-nodes/ImageQuantize.mdx index 17fa240aa..ce9fbb596 100644 --- a/built-in-nodes/ImageQuantize.mdx +++ b/built-in-nodes/ImageQuantize.mdx @@ -9,14 +9,16 @@ The ImageQuantize node is designed to reduce the number of colors in an image to ## Inputs -| Field | Data Type | Description | -|---------|-------------|-----------------------------------------------------------------------------------| -| `image` | `IMAGE` | The input image tensor to be quantized. It affects the node's execution by being the primary data upon which color reduction is performed. | -| `colors`| `INT` | Specifies the number of colors to reduce the image to. It directly influences the quantization process by determining the color palette size. | -| `dither`| COMBO[STRING] | Determines the dithering technique to be applied during quantization, affecting the visual quality and appearance of the output image. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The input image tensor to be quantized. It affects the node's execution by being the primary data upon which color reduction is performed. | `IMAGE` | +| `colors` | Specifies the number of colors to reduce the image to. It directly influences the quantization process by determining the color palette size. | `INT` | +| `dither` | Determines the dithering technique to be applied during quantization, affecting the visual quality and appearance of the output image. | COMBO[STRING] | ## Outputs -| Field | Data Type | Description | -|-------|-------------|-------------------------------------------------------------------------------| -| `image`| `IMAGE` | The quantized version of the input image, with reduced color complexity and optionally dithered to maintain visual quality. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The quantized version of the input image, with reduced color complexity and optionally dithered to maintain visual quality. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageQuantize/en.md) diff --git a/built-in-nodes/ImageRGBToYUV.mdx b/built-in-nodes/ImageRGBToYUV.mdx index d618ddd6c..2028c9c1b 100644 --- a/built-in-nodes/ImageRGBToYUV.mdx +++ b/built-in-nodes/ImageRGBToYUV.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ImageRGBToYUV" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRGBToYUV/en.md) - The ImageRGBToYUV node converts an RGB image into the YUV color space. It separates the image into three channels: Y (luminance, or brightness), U (blue-difference), and V (red-difference), and returns each as a separate image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input RGB image to be converted to YUV color space | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input RGB image to be converted to YUV color space | IMAGE | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `Y` | IMAGE | The luminance (brightness) component of the YUV color space | -| `U` | IMAGE | The blue-difference chroma component of the YUV color space | -| `V` | IMAGE | The red-difference chroma component of the YUV color space | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `Y` | The luminance (brightness) component of the YUV color space | IMAGE | +| `U` | The blue-difference chroma component of the YUV color space | IMAGE | +| `V` | The red-difference chroma component of the YUV color space | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRGBToYUV/en.md) --- **Source fingerprint (SHA-256):** `727d9346a77f4efc015683a942b56e530deada1ff1f37dac0e67f96913ffd8ce` diff --git a/built-in-nodes/ImageRotate.mdx b/built-in-nodes/ImageRotate.mdx index bd2fc1b83..d95fd4f15 100644 --- a/built-in-nodes/ImageRotate.mdx +++ b/built-in-nodes/ImageRotate.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ImageRotate" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRotate/en.md) - The ImageRotate node rotates an input image by specified angles. It supports four rotation options: no rotation, 90 degrees clockwise, 180 degrees, and 270 degrees clockwise. The rotation is performed using efficient tensor operations that maintain the image data integrity. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be rotated | -| `rotation` | STRING | Yes | "none"
"90 degrees"
"180 degrees"
"270 degrees" | The rotation angle to apply to the image (default: "none") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be rotated | IMAGE | Yes | - | +| `rotation` | The rotation angle to apply to the image (default: "none") | STRING | Yes | "none"
"90 degrees"
"180 degrees"
"270 degrees" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The rotated output image | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The rotated output image | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRotate/en.md) --- **Source fingerprint (SHA-256):** `1de36d9e42e64fe80cc13dd7da96bd946f02ba78d81317f073cf54c4e5bd12f7` diff --git a/built-in-nodes/ImageScale.mdx b/built-in-nodes/ImageScale.mdx index 502bfcb76..1dcbb29c4 100644 --- a/built-in-nodes/ImageScale.mdx +++ b/built-in-nodes/ImageScale.mdx @@ -9,16 +9,18 @@ The ImageScale node is designed for resizing images to specific dimensions, offe ## Inputs -| Parameter | Data Type | Description | -|-----------------|-------------|---------------------------------------------------------------------------------------| -| `image` | `IMAGE` | The input image to be upscaled. This parameter is central to the node's operation, serving as the primary data upon which resizing transformations are applied. The quality and dimensions of the output image are directly influenced by the original image's properties. | -| `upscale_method`| COMBO[STRING] | Specifies the method used for upscaling the image. The choice of method can affect the quality and characteristics of the upscaled image, influencing the visual fidelity and potential artifacts in the resized output. | -| `width` | `INT` | The target width for the upscaled image. This parameter directly influences the dimensions of the output image, determining the horizontal scale of the resizing operation. | -| `height` | `INT` | The target height for the upscaled image. This parameter directly influences the dimensions of the output image, determining the vertical scale of the resizing operation. | -| `crop` | COMBO[STRING] | Determines whether and how the upscaled image should be cropped, offering options for disabled cropping or center cropping. This affects the final composition of the image by potentially removing edges to fit the specified dimensions. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The input image to be upscaled. This parameter is central to the node's operation, serving as the primary data upon which resizing transformations are applied. The quality and dimensions of the output image are directly influenced by the original image's properties. | `IMAGE` | +| `upscale_method` | Specifies the method used for upscaling the image. The choice of method can affect the quality and characteristics of the upscaled image, influencing the visual fidelity and potential artifacts in the resized output. | COMBO[STRING] | +| `width` | The target width for the upscaled image. This parameter directly influences the dimensions of the output image, determining the horizontal scale of the resizing operation. | `INT` | +| `height` | The target height for the upscaled image. This parameter directly influences the dimensions of the output image, determining the vertical scale of the resizing operation. | `INT` | +| `crop` | Determines whether and how the upscaled image should be cropped, offering options for disabled cropping or center cropping. This affects the final composition of the image by potentially removing edges to fit the specified dimensions. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The upscaled (and optionally cropped) image, ready for further processing or visualization. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The upscaled (and optionally cropped) image, ready for further processing or visualization. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScale/en.md) diff --git a/built-in-nodes/ImageScaleBy.mdx b/built-in-nodes/ImageScaleBy.mdx index d4e24ea89..4bc4e092c 100644 --- a/built-in-nodes/ImageScaleBy.mdx +++ b/built-in-nodes/ImageScaleBy.mdx @@ -9,14 +9,16 @@ The ImageScaleBy node is designed for upscaling images by a specified scale fact ## Inputs -| Parameter | Data Type | Description | -|-----------------|-------------|----------------------------------------------------------------------------| -| `image` | `IMAGE` | The input image to be upscaled. This parameter is crucial as it provides the base image that will undergo the upscaling process. | -| `upscale_method`| COMBO[STRING] | Specifies the interpolation method to be used for upscaling. The choice of method can affect the quality and characteristics of the upscaled image. | -| `scale_by` | `FLOAT` | The factor by which the image will be upscaled. This determines the increase in size of the output image relative to the input image. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The input image to be upscaled. This parameter is crucial as it provides the base image that will undergo the upscaling process. | `IMAGE` | +| `upscale_method` | Specifies the interpolation method to be used for upscaling. The choice of method can affect the quality and characteristics of the upscaled image. | COMBO[STRING] | +| `scale_by` | The factor by which the image will be upscaled. This determines the increase in size of the output image relative to the input image. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|---------------------------------------------------------------| -| `image` | `IMAGE` | The upscaled image, which is larger than the input image according to the specified scale factor and interpolation method. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The upscaled image, which is larger than the input image according to the specified scale factor and interpolation method. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleBy/en.md) diff --git a/built-in-nodes/ImageScaleToMaxDimension.mdx b/built-in-nodes/ImageScaleToMaxDimension.mdx index b34a3079d..db6278288 100644 --- a/built-in-nodes/ImageScaleToMaxDimension.mdx +++ b/built-in-nodes/ImageScaleToMaxDimension.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ImageScaleToMaxDimension" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/en.md) - The ImageScaleToMaxDimension node resizes images to fit within a specified maximum dimension while maintaining the original aspect ratio. It calculates whether the image is portrait or landscape oriented, then scales the larger dimension to match the target size while proportionally adjusting the smaller dimension. The node supports multiple upscaling methods for different quality and performance requirements. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be scaled | -| `upscale_method` | STRING | Yes | "area"
"lanczos"
"bilinear"
"nearest-exact"
"bilinear"
"bicubic" | The interpolation method used for scaling the image (default: "area") | -| `largest_size` | INT | Yes | 0 to 16384 | The maximum dimension for the scaled image (default: 512) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be scaled | IMAGE | Yes | - | +| `upscale_method` | The interpolation method used for scaling the image (default: "area") | STRING | Yes | "area"
"lanczos"
"bilinear"
"nearest-exact"
"bilinear"
"bicubic" | +| `largest_size` | The maximum dimension for the scaled image (default: 512) | INT | Yes | 0 to 16384 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The scaled image with the largest dimension matching the specified size | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The scaled image with the largest dimension matching the specified size | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/en.md) --- **Source fingerprint (SHA-256):** `83eba56d9f673fb570edc6504fd82f1274ead1d3e055a1a8bcc207c178388015` diff --git a/built-in-nodes/ImageScaleToTotalPixels.mdx b/built-in-nodes/ImageScaleToTotalPixels.mdx index e7bd84678..01f8524bd 100644 --- a/built-in-nodes/ImageScaleToTotalPixels.mdx +++ b/built-in-nodes/ImageScaleToTotalPixels.mdx @@ -9,14 +9,16 @@ The ImageScaleToTotalPixels node is designed for resizing images to a specified ## Inputs -| Parameter | Data Type | Description | -|-----------------|-------------|----------------------------------------------------------------------------| -| `image` | `IMAGE` | The input image to be upscaled to the specified total number of pixels. | -| `upscale_method`| COMBO[STRING] | The method used for upscaling the image. It affects the quality and characteristics of the upscaled image. | -| `megapixels` | `FLOAT` | The target size of the image in megapixels. This determines the total number of pixels in the upscaled image. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The input image to be upscaled to the specified total number of pixels. | `IMAGE` | +| `upscale_method` | The method used for upscaling the image. It affects the quality and characteristics of the upscaled image. | COMBO[STRING] | +| `megapixels` | The target size of the image in megapixels. This determines the total number of pixels in the upscaled image. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-----------------------------------------------------------------------| -| `image` | `IMAGE` | The upscaled image with the specified total number of pixels, maintaining the original aspect ratio. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The upscaled image with the specified total number of pixels, maintaining the original aspect ratio. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToTotalPixels/en.md) diff --git a/built-in-nodes/ImageSharpen.mdx b/built-in-nodes/ImageSharpen.mdx index 3a45e5ea4..5f99252ba 100644 --- a/built-in-nodes/ImageSharpen.mdx +++ b/built-in-nodes/ImageSharpen.mdx @@ -9,15 +9,17 @@ The ImageSharpen node enhances the clarity of an image by accentuating its edges ## Inputs -| Field | Data Type | Description | -|----------------|-------------|-----------------------------------------------------------------------------------------------| -| `image` | `IMAGE` | The input image to be sharpened. This parameter is crucial as it determines the base image on which the sharpening effect will be applied. | -| `sharpen_radius`| `INT` | Defines the radius of the sharpening effect. A larger radius means that more pixels around the edge will be affected, leading to a more pronounced sharpening effect. | -| `sigma` | `FLOAT` | Controls the spread of the sharpening effect. A higher sigma value results in a smoother transition at the edges, while a lower sigma makes the sharpening more localized. | -| `alpha` | `FLOAT` | Adjusts the intensity of the sharpening effect. Higher alpha values result in a stronger sharpening effect. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The input image to be sharpened. This parameter is crucial as it determines the base image on which the sharpening effect will be applied. | `IMAGE` | +| `sharpen_radius` | Defines the radius of the sharpening effect. A larger radius means that more pixels around the edge will be affected, leading to a more pronounced sharpening effect. | `INT` | +| `sigma` | Controls the spread of the sharpening effect. A higher sigma value results in a smoother transition at the edges, while a lower sigma makes the sharpening more localized. | `FLOAT` | +| `alpha` | Adjusts the intensity of the sharpening effect. Higher alpha values result in a stronger sharpening effect. | `FLOAT` | ## Outputs -| Field | Data Type | Description | -|-------|-------------|--------------------------------------------------------------------------| -| `image`| `IMAGE` | The sharpened image, with enhanced edges and details, ready for further processing or display. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The sharpened image, with enhanced edges and details, ready for further processing or display. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageSharpen/en.md) diff --git a/built-in-nodes/ImageStitch.mdx b/built-in-nodes/ImageStitch.mdx index b08173c7e..6dfa23c93 100644 --- a/built-in-nodes/ImageStitch.mdx +++ b/built-in-nodes/ImageStitch.mdx @@ -9,22 +9,22 @@ This node allows you to stitch two images together in a specified direction (up, ## Inputs -| Parameter Name | Data Type | Input Type | Default | Range | Description | -|---------------|-----------|-------------|---------|--------|-------------| -| `image1` | IMAGE | Required | - | - | The first image to be stitched | -| `image2` | IMAGE | Optional | None | - | The second image to be stitched, if not provided returns only the first image | -| `direction` | STRING | Required | right | right/down/left/up | The direction to stitch the second image: right, down, left, or up | -| `match_image_size` | BOOLEAN | Required | True | True/False | Whether to resize the second image to match the dimensions of the first image | -| `spacing_width` | INT | Required | 0 | 0-1024 | Width of spacing between images, must be an even number | -| `spacing_color` | STRING | Required | white | white/black/red/green/blue | Color of the spacing between stitched images | +| Parameter Name | Description | Data Type | Input Type | Default | Range | +| --- | --- | --- | --- | --- | --- | +| `image1` | The first image to be stitched | IMAGE | Required | - | - | +| `image2` | The second image to be stitched, if not provided returns only the first image | IMAGE | Optional | None | - | +| `direction` | The direction to stitch the second image: right, down, left, or up | STRING | Required | right | right/down/left/up | +| `match_image_size` | Whether to resize the second image to match the dimensions of the first image | BOOLEAN | Required | True | True/False | +| `spacing_width` | Width of spacing between images, must be an even number | INT | Required | 0 | 0-1024 | +| `spacing_color` | Color of the spacing between stitched images | STRING | Required | white | white/black/red/green/blue | > For `spacing_color`, when using colors other than "white/black", if `match_image_size` is set to `false`, the padding area will be filled with black ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The stitched image | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The stitched image | IMAGE | ## Workflow Example @@ -57,3 +57,5 @@ Output image 1: Output image 2: ![output2](/images/built-in-nodes/ImageStitch/output-2.webp) + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageStitch/en.md) diff --git a/built-in-nodes/ImageToMask.mdx b/built-in-nodes/ImageToMask.mdx index 6a541f210..4634ef041 100644 --- a/built-in-nodes/ImageToMask.mdx +++ b/built-in-nodes/ImageToMask.mdx @@ -9,13 +9,15 @@ The ImageToMask node is designed to convert an image into a mask based on a spec ## Inputs -| Parameter | Data Type | Description | -|-------------|-------------|----------------------------------------------------------------------------------------------------------------------| -| `image` | `IMAGE` | The 'image' parameter represents the input image from which a mask will be generated based on the specified color channel. It plays a crucial role in determining the content and characteristics of the resulting mask. | -| `channel` | COMBO[STRING] | The 'channel' parameter specifies which color channel (red, green, blue, or alpha) of the input image should be used to generate the mask. This choice directly influences the mask's appearance and which parts of the image are highlighted or masked out. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The 'image' parameter represents the input image from which a mask will be generated based on the specified color channel. It plays a crucial role in determining the content and characteristics of the resulting mask. | `IMAGE` | +| `channel` | The 'channel' parameter specifies which color channel (red, green, blue, or alpha) of the input image should be used to generate the mask. This choice directly influences the mask's appearance and which parts of the image are highlighted or masked out. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `mask` | `MASK` | The output 'mask' is a binary or grayscale representation of the specified color channel from the input image, useful for further image processing or masking operations. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | The output 'mask' is a binary or grayscale representation of the specified color channel from the input image, useful for further image processing or masking operations. | `MASK` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageToMask/en.md) diff --git a/built-in-nodes/ImageUpscaleWithModel.mdx b/built-in-nodes/ImageUpscaleWithModel.mdx index 61b20344e..2e309b316 100644 --- a/built-in-nodes/ImageUpscaleWithModel.mdx +++ b/built-in-nodes/ImageUpscaleWithModel.mdx @@ -9,13 +9,15 @@ This node is designed for upscaling images using a specified upscale model. It e ## Inputs -| Parameter | Comfy dtype | Description | -|-------------------|-------------------|----------------------------------------------------------------------------| -| `upscale_model` | `UPSCALE_MODEL` | The upscale model to be used for upscaling the image. It is crucial for defining the upscaling algorithm and its parameters. | -| `image` | `IMAGE` | The image to be upscaled. This input is essential for determining the source content that will undergo the upscaling process. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `upscale_model` | The upscale model to be used for upscaling the image. It is crucial for defining the upscaling algorithm and its parameters. | `UPSCALE_MODEL` | +| `image` | The image to be upscaled. This input is essential for determining the source content that will undergo the upscaling process. | `IMAGE` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|----------------------------------------------------| -| `image` | `IMAGE` | The upscaled image, processed by the upscale model. This output is the result of the upscaling operation, showcasing the enhanced resolution or quality. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The upscaled image, processed by the upscale model. This output is the result of the upscaling operation, showcasing the enhanced resolution or quality. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageUpscaleWithModel/en.md) diff --git a/built-in-nodes/ImageYUVToRGB.mdx b/built-in-nodes/ImageYUVToRGB.mdx index 8e7dddc93..b00459c8c 100644 --- a/built-in-nodes/ImageYUVToRGB.mdx +++ b/built-in-nodes/ImageYUVToRGB.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ImageYUVToRGB" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageYUVToRGB/en.md) - The ImageYUVToRGB node converts YUV color space images to RGB color space. It takes three separate input images representing the Y (luma), U (blue projection), and V (red projection) channels and combines them into a single RGB image using color space conversion. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `Y` | IMAGE | Yes | - | The Y (luminance) channel input image | -| `U` | IMAGE | Yes | - | The U (blue projection) channel input image | -| `V` | IMAGE | Yes | - | The V (red projection) channel input image | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `Y` | The Y (luminance) channel input image | IMAGE | Yes | - | +| `U` | The U (blue projection) channel input image | IMAGE | Yes | - | +| `V` | The V (red projection) channel input image | IMAGE | Yes | - | **Note:** All three input images (Y, U, and V) must be provided together and should have compatible dimensions for proper conversion. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The converted RGB image | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The converted RGB image | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageYUVToRGB/en.md) --- **Source fingerprint (SHA-256):** `5aefb7b87ff76e03af9259f9dac06f027668d83618693e3c9dcfd17b95441070` diff --git a/built-in-nodes/InpaintModelConditioning.mdx b/built-in-nodes/InpaintModelConditioning.mdx index 15c0fd684..892297d13 100644 --- a/built-in-nodes/InpaintModelConditioning.mdx +++ b/built-in-nodes/InpaintModelConditioning.mdx @@ -9,18 +9,20 @@ The InpaintModelConditioning node is designed to facilitate the conditioning pro ## Inputs -| Parameter | Comfy dtype | Description | -|-----------|--------------------|-------------| -| `positive`| `CONDITIONING` | Represents the positive conditioning information or parameters that are to be applied to the inpainting model. This input is crucial for defining the context or constraints under which the inpainting operation should be performed, affecting the final output significantly. | -| `negative`| `CONDITIONING` | Represents the negative conditioning information or parameters that are to be applied to the inpainting model. This input is essential for specifying the conditions or contexts to avoid during the inpainting process, thereby influencing the final output. | -| `vae` | `VAE` | Specifies the VAE model to be used in the conditioning process. This input is crucial for determining the specific architecture and parameters of the VAE model that will be utilized. | -| `pixels` | `IMAGE` | Represents the pixel data of the image to be inpainted. This input is essential for providing the visual context necessary for the inpainting task. | -| `mask` | `MASK` | Specifies the mask to be applied to the image, indicating the areas to be inpainted. This input is crucial for defining the specific regions within the image that require inpainting. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `positive` | Represents the positive conditioning information or parameters that are to be applied to the inpainting model. This input is crucial for defining the context or constraints under which the inpainting operation should be performed, affecting the final output significantly. | `CONDITIONING` | +| `negative` | Represents the negative conditioning information or parameters that are to be applied to the inpainting model. This input is essential for specifying the conditions or contexts to avoid during the inpainting process, thereby influencing the final output. | `CONDITIONING` | +| `vae` | Specifies the VAE model to be used in the conditioning process. This input is crucial for determining the specific architecture and parameters of the VAE model that will be utilized. | `VAE` | +| `pixels` | Represents the pixel data of the image to be inpainted. This input is essential for providing the visual context necessary for the inpainting task. | `IMAGE` | +| `mask` | Specifies the mask to be applied to the image, indicating the areas to be inpainted. This input is crucial for defining the specific regions within the image that require inpainting. | `MASK` | ## Outputs -| Parameter | Data Type | Description | -|-----------|--------------|-------------| -| `positive`| `CONDITIONING` | The modified positive conditioning information after processing, ready to be applied to the inpainting model. This output is essential for guiding the inpainting process according to the specified positive conditions. | -| `negative`| `CONDITIONING` | The modified negative conditioning information after processing, ready to be applied to the inpainting model. This output is essential for guiding the inpainting process according to the specified negative conditions. | -| `latent` | `LATENT` | The latent representation derived from the conditioning process. This output is crucial for understanding the underlying features and characteristics of the image being inpainted. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `positive` | The modified positive conditioning information after processing, ready to be applied to the inpainting model. This output is essential for guiding the inpainting process according to the specified positive conditions. | `CONDITIONING` | +| `negative` | The modified negative conditioning information after processing, ready to be applied to the inpainting model. This output is essential for guiding the inpainting process according to the specified negative conditions. | `CONDITIONING` | +| `latent` | The latent representation derived from the conditioning process. This output is crucial for understanding the underlying features and characteristics of the image being inpainted. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InpaintModelConditioning/en.md) diff --git a/built-in-nodes/InstructPixToPixConditioning.mdx b/built-in-nodes/InstructPixToPixConditioning.mdx index f26eac136..5930e1652 100644 --- a/built-in-nodes/InstructPixToPixConditioning.mdx +++ b/built-in-nodes/InstructPixToPixConditioning.mdx @@ -5,28 +5,28 @@ sidebarTitle: "InstructPixToPixConditioning" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InstructPixToPixConditioning/en.md) - The InstructPixToPixConditioning node prepares conditioning data for InstructPix2Pix image editing by combining positive and negative text prompts with image data. It processes input images through a VAE encoder to create latent representations and attaches these latents to both positive and negative conditioning data. The node automatically handles image dimensions by cropping to multiples of 8 pixels for compatibility with the VAE encoding process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning data containing text prompts and settings for desired image characteristics | -| `negative` | CONDITIONING | Yes | - | Negative conditioning data containing text prompts and settings for undesired image characteristics | -| `vae` | VAE | Yes | - | VAE model used for encoding input images into latent representations | -| `pixels` | IMAGE | Yes | - | Input image to be processed and encoded into latent space | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning data containing text prompts and settings for desired image characteristics | CONDITIONING | Yes | - | +| `negative` | Negative conditioning data containing text prompts and settings for undesired image characteristics | CONDITIONING | Yes | - | +| `vae` | VAE model used for encoding input images into latent representations | VAE | Yes | - | +| `pixels` | Input image to be processed and encoded into latent space | IMAGE | Yes | - | **Note:** The input image dimensions are automatically adjusted by cropping to the nearest multiple of 8 pixels in both width and height to ensure compatibility with the VAE encoding process. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Positive conditioning data with attached latent image representation | -| `negative` | CONDITIONING | Negative conditioning data with attached latent image representation | -| `latent` | LATENT | Empty latent tensor with the same dimensions as the encoded image | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Positive conditioning data with attached latent image representation | CONDITIONING | +| `negative` | Negative conditioning data with attached latent image representation | CONDITIONING | +| `latent` | Empty latent tensor with the same dimensions as the encoded image | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InstructPixToPixConditioning/en.md) --- **Source fingerprint (SHA-256):** `ac48cc0d3c77f1e399b615068291ae60801f36a6c4e1ae47d624fbc08e0b7264` diff --git a/built-in-nodes/InvertBooleanNode.mdx b/built-in-nodes/InvertBooleanNode.mdx index d7c6636ff..0884a5948 100644 --- a/built-in-nodes/InvertBooleanNode.mdx +++ b/built-in-nodes/InvertBooleanNode.mdx @@ -5,21 +5,21 @@ sidebarTitle: "InvertBooleanNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertBooleanNode/en.md) - This node takes a single boolean (true/false) input and outputs the opposite value. It performs a logical NOT operation, turning `true` into `false` and `false` into `true`. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `boolean` | BOOLEAN | Yes | `true`
`false` | The input boolean value to be inverted. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `boolean` | The input boolean value to be inverted. | BOOLEAN | Yes | `true`
`false` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | BOOLEAN | The inverted boolean value. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The inverted boolean value. | BOOLEAN | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertBooleanNode/en.md) --- **Source fingerprint (SHA-256):** `c512b0f8847c971776c2aebe0c6053ca17a66f756b1b90c803d1a6ef9d3d0ad0` diff --git a/built-in-nodes/InvertMask.mdx b/built-in-nodes/InvertMask.mdx index 84bec2201..f0dd6d8c2 100644 --- a/built-in-nodes/InvertMask.mdx +++ b/built-in-nodes/InvertMask.mdx @@ -9,12 +9,14 @@ The InvertMask node is designed to invert the values of a given mask, effectivel ## Inputs -| Parameter | Data Type | Description | -|-----------|--------------|-------------| -| `mask` | MASK | The 'mask' parameter represents the input mask to be inverted. It is crucial for determining the areas to be flipped in the inversion process. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | The 'mask' parameter represents the input mask to be inverted. It is crucial for determining the areas to be flipped in the inversion process. | MASK | ## Outputs -| Parameter | Data Type | Description | -|-----------|--------------|-------------| -| `mask` | MASK | The output is an inverted version of the input mask, with previously masked areas becoming unmasked and vice versa. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | The output is an inverted version of the input mask, with previously masked areas becoming unmasked and vice versa. | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertMask/en.md) diff --git a/built-in-nodes/JoinAudioChannels.mdx b/built-in-nodes/JoinAudioChannels.mdx index c0a8ffcac..ae7225712 100644 --- a/built-in-nodes/JoinAudioChannels.mdx +++ b/built-in-nodes/JoinAudioChannels.mdx @@ -5,24 +5,24 @@ sidebarTitle: "JoinAudioChannels" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinAudioChannels/en.md) - The Join Audio Channels node combines two separate mono audio inputs into a single stereo audio output. It takes a left channel and a right channel, ensures they have compatible sample rates and lengths, and merges them into a two-channel audio waveform. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio_left` | AUDIO | Yes | | The mono audio data to be used as the left channel in the resulting stereo audio. | -| `audio_right` | AUDIO | Yes | | The mono audio data to be used as the right channel in the resulting stereo audio. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio_left` | The mono audio data to be used as the left channel in the resulting stereo audio. | AUDIO | Yes | | +| `audio_right` | The mono audio data to be used as the right channel in the resulting stereo audio. | AUDIO | Yes | | **Note:** Both input audio streams must be mono (single-channel). If they have different sample rates, the channel with the lower rate will be automatically resampled to match the higher rate. If the audio streams have different lengths, they will be trimmed to the length of the shorter one. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The resulting stereo audio, containing the joined left and right channels. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The resulting stereo audio, containing the joined left and right channels. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinAudioChannels/en.md) --- **Source fingerprint (SHA-256):** `8a68e59e0d037882e9dd87d93b38673a0de3072bab2c574c7a9750de93b50a68` diff --git a/built-in-nodes/JoinImageWithAlpha.mdx b/built-in-nodes/JoinImageWithAlpha.mdx index df6ae604d..cf6950b24 100644 --- a/built-in-nodes/JoinImageWithAlpha.mdx +++ b/built-in-nodes/JoinImageWithAlpha.mdx @@ -9,13 +9,15 @@ This node is designed for compositing operations, specifically to join an image ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The main visual content to be combined with an alpha mask. It represents the image without transparency information. | -| `alpha` | `MASK` | The alpha mask that defines the transparency of the corresponding image. It is used to determine which parts of the image should be transparent or semi-transparent. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The main visual content to be combined with an alpha mask. It represents the image without transparency information. | `IMAGE` | +| `alpha` | The alpha mask that defines the transparency of the corresponding image. It is used to determine which parts of the image should be transparent or semi-transparent. | `MASK` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The output is a single image that combines the input image with the alpha mask, incorporating transparency information into the visual content. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The output is a single image that combines the input image with the alpha mask, incorporating transparency information into the visual content. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinImageWithAlpha/en.md) diff --git a/built-in-nodes/JsonExtractString.mdx b/built-in-nodes/JsonExtractString.mdx index f6db62bd6..e948a6c79 100644 --- a/built-in-nodes/JsonExtractString.mdx +++ b/built-in-nodes/JsonExtractString.mdx @@ -5,24 +5,24 @@ sidebarTitle: "JsonExtractString" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JsonExtractString/en.md) - The JsonExtractString node reads a text string containing JSON data and extracts the value associated with a specific key. It converts the extracted value into a string. If the JSON is invalid, the key is not found, or the value is null, the node returns an empty string. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `json_string` | STRING | Yes | N/A | The text containing the JSON data to be parsed. This field supports multiline input. | -| `key` | STRING | Yes | N/A | The specific key whose value you want to extract from the JSON object. This field supports single-line input only. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `json_string` | The text containing the JSON data to be parsed. This field supports multiline input. | STRING | Yes | N/A | +| `key` | The specific key whose value you want to extract from the JSON object. This field supports single-line input only. | STRING | Yes | N/A | **Note:** The node only extracts values from JSON objects (dictionaries). If the parsed JSON is not an object or if the specified key does not exist within it, the output will be an empty string. If the value associated with the key is `null`, the node also returns an empty string. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The string value extracted from the JSON for the specified key, or an empty string if the extraction fails. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The string value extracted from the JSON for the specified key, or an empty string if the extraction fails. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JsonExtractString/en.md) --- **Source fingerprint (SHA-256):** `ef99b7d2aa82dd290624edaf03f509ade91438639e056b4cb67057b0881b9dc3` diff --git a/built-in-nodes/KSampler.mdx b/built-in-nodes/KSampler.mdx index 7f1b570c8..b2f065e47 100644 --- a/built-in-nodes/KSampler.mdx +++ b/built-in-nodes/KSampler.mdx @@ -10,19 +10,19 @@ First, it adds noise to the original image data according to the set **seed** an ## Inputs -| Parameter Name | Data Type | Required | Default | Range/Options | Description | -| ---------------------- | ------------ | -------- | ------- | ------------------------ | ---------------------------------------------------------------------------------- | -| Model | checkpoint | Yes | None | - | Input model used for the denoising process | -| seed | Int | Yes | 0 | 0 ~ 18446744073709551615 | Used to generate random noise, using the same "seed" generates identical images | -| steps | Int | Yes | 20 | 1 ~ 10000 | Number of steps to use in denoising process, more steps mean more accurate results | -| cfg | float | Yes | 8.0 | 0.0 ~ 100.0 | Controls how closely the generated image matches input conditions, 6-8 recommended | -| sampler_name | UI Option | Yes | None | Multiple algorithms | Choose sampler for denoising, affects generation speed and style | -| scheduler | UI Option | Yes | None | Multiple schedulers | Controls how noise is removed, affects generation process | -| Positive | conditioning | Yes | None | - | Positive conditions guiding denoising, what you want to appear in the image | -| Negative | conditioning | Yes | None | - | Negative conditions guiding denoising, what you don't want in the image | -| Latent_Image | Latent | Yes | None | - | Latent image used for denoising | -| denoise | float | No | 1.0 | 0.0 ~ 1.0 | Determines noise removal ratio, lower values mean less connection to input image | -| control_after_generate | UI Option | No | None | Random/Inc/Dec/Keep | Provides ability to change seed after each prompt | +| Parameter Name | Description | Data Type | Required | Default | Range/Options | +| --- | --- | --- | --- | --- | --- | +| Model | Input model used for the denoising process | checkpoint | Yes | None | - | +| seed | Used to generate random noise, using the same "seed" generates identical images | Int | Yes | 0 | 0 ~ 18446744073709551615 | +| steps | Number of steps to use in denoising process, more steps mean more accurate results | Int | Yes | 20 | 1 ~ 10000 | +| cfg | Controls how closely the generated image matches input conditions, 6-8 recommended | float | Yes | 8.0 | 0.0 ~ 100.0 | +| sampler_name | Choose sampler for denoising, affects generation speed and style | UI Option | Yes | None | Multiple algorithms | +| scheduler | Controls how noise is removed, affects generation process | UI Option | Yes | None | Multiple schedulers | +| Positive | Positive conditions guiding denoising, what you want to appear in the image | conditioning | Yes | None | - | +| Negative | Negative conditions guiding denoising, what you don't want in the image | conditioning | Yes | None | - | +| Latent_Image | Latent image used for denoising | Latent | Yes | None | - | +| denoise | Determines noise removal ratio, lower values mean less connection to input image | float | No | 1.0 | 0.0 ~ 1.0 | +| control_after_generate | Provides ability to change seed after each prompt | UI Option | No | None | Random/Inc/Dec/Keep | ## Output @@ -87,3 +87,5 @@ class KSampler: return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) ``` + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSampler/en.md) diff --git a/built-in-nodes/KSamplerAdvanced.mdx b/built-in-nodes/KSamplerAdvanced.mdx index 075d4a29a..d188ce8c5 100644 --- a/built-in-nodes/KSamplerAdvanced.mdx +++ b/built-in-nodes/KSamplerAdvanced.mdx @@ -9,24 +9,26 @@ The KSamplerAdvanced node is designed to enhance the sampling process by providi ## Inputs -| Parameter | Data Type | Description | -|----------------------|-------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| `model` | MODEL | Specifies the model from which samples are to be generated, playing a crucial role in the sampling process. | -| `add_noise` | COMBO[STRING] | Determines whether noise should be added to the sampling process, affecting the diversity and quality of the generated samples. | -| `noise_seed` | INT | Sets the seed for noise generation, ensuring reproducibility in the sampling process. | -| `steps` | INT | Defines the number of steps to be taken in the sampling process, impacting the detail and quality of the output. | -| `cfg` | FLOAT | Controls the conditioning factor, influencing the direction and space of the sampling process. | -| `sampler_name` | COMBO[STRING] | Selects the specific sampler to be used, allowing for customization of the sampling technique. | -| `scheduler` | COMBO[STRING] | Chooses the scheduler for controlling the sampling process, affecting the progression and quality of samples. | -| `positive` | CONDITIONING | Specifies the positive conditioning to guide the sampling towards desired attributes. | -| `negative` | CONDITIONING | Specifies the negative conditioning to steer the sampling away from certain attributes. | -| `latent_image` | LATENT | Provides the initial latent image to be used in the sampling process, serving as a starting point. | -| `start_at_step` | INT | Determines the starting step of the sampling process, allowing for control over the sampling progression. | -| `end_at_step` | INT | Sets the ending step of the sampling process, defining the scope of the sampling. | -| `return_with_leftover_noise` | COMBO[STRING] | Indicates whether to return the sample with leftover noise, affecting the final output's appearance. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | Specifies the model from which samples are to be generated, playing a crucial role in the sampling process. | MODEL | +| `add_noise` | Determines whether noise should be added to the sampling process, affecting the diversity and quality of the generated samples. | COMBO[STRING] | +| `noise_seed` | Sets the seed for noise generation, ensuring reproducibility in the sampling process. | INT | +| `steps` | Defines the number of steps to be taken in the sampling process, impacting the detail and quality of the output. | INT | +| `cfg` | Controls the conditioning factor, influencing the direction and space of the sampling process. | FLOAT | +| `sampler_name` | Selects the specific sampler to be used, allowing for customization of the sampling technique. | COMBO[STRING] | +| `scheduler` | Chooses the scheduler for controlling the sampling process, affecting the progression and quality of samples. | COMBO[STRING] | +| `positive` | Specifies the positive conditioning to guide the sampling towards desired attributes. | CONDITIONING | +| `negative` | Specifies the negative conditioning to steer the sampling away from certain attributes. | CONDITIONING | +| `latent_image` | Provides the initial latent image to be used in the sampling process, serving as a starting point. | LATENT | +| `start_at_step` | Determines the starting step of the sampling process, allowing for control over the sampling progression. | INT | +| `end_at_step` | Sets the ending step of the sampling process, defining the scope of the sampling. | INT | +| `return_with_leftover_noise` | Indicates whether to return the sample with leftover noise, affecting the final output's appearance. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|-------------|-------------|------------------------------------------------------------------------------------------------------------------------------| -| `latent` | LATENT | The output represents the latent image generated from the model, reflecting the applied configurations and techniques. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The output represents the latent image generated from the model, reflecting the applied configurations and techniques. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSamplerAdvanced/en.md) diff --git a/built-in-nodes/KSamplerSelect.mdx b/built-in-nodes/KSamplerSelect.mdx index 5244a5ef2..fd05208b7 100644 --- a/built-in-nodes/KSamplerSelect.mdx +++ b/built-in-nodes/KSamplerSelect.mdx @@ -9,12 +9,14 @@ The KSamplerSelect node is designed to select a specific sampler based on the pr ## Inputs -| Parameter | Data Type | Description | -|-------------------|-------------|------------------------------------------------------------------------------------------------| -| `sampler_name` | COMBO[STRING] | Specifies the name of the sampler to be selected. This parameter determines which sampling strategy will be used, impacting the overall sampling behavior and results. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `sampler_name` | Specifies the name of the sampler to be selected. This parameter determines which sampling strategy will be used, impacting the overall sampling behavior and results. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|-------------|-------------|-----------------------------------------------------------------------------| -| `sampler` | `SAMPLER` | Returns the selected sampler object, ready to be used for sampling tasks. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `sampler` | Returns the selected sampler object, ready to be used for sampling tasks. | `SAMPLER` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSamplerSelect/en.md) diff --git a/built-in-nodes/Kandinsky5ImageToVideo.mdx b/built-in-nodes/Kandinsky5ImageToVideo.mdx index 19be9658c..cd1e2a94a 100644 --- a/built-in-nodes/Kandinsky5ImageToVideo.mdx +++ b/built-in-nodes/Kandinsky5ImageToVideo.mdx @@ -5,33 +5,33 @@ sidebarTitle: "Kandinsky5ImageToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Kandinsky5ImageToVideo/en.md) - The Kandinsky5ImageToVideo node prepares conditioning and latent space data for video generation using the Kandinsky model. It creates an empty video latent tensor and can optionally encode a starting image to guide the initial frames of the generated video, modifying the positive and negative conditioning accordingly. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | N/A | The positive conditioning prompts to guide the video generation. | -| `negative` | CONDITIONING | Yes | N/A | The negative conditioning prompts to steer the video generation away from certain concepts. | -| `vae` | VAE | Yes | N/A | The VAE model used to encode the optional starting image into the latent space. | -| `width` | INT | No | 16 to 8192 (step 16) | The width of the output video in pixels (default: 768). | -| `height` | INT | No | 16 to 8192 (step 16) | The height of the output video in pixels (default: 512). | -| `length` | INT | No | 1 to 8192 (step 4) | The number of frames in the video (default: 121). | -| `batch_size` | INT | No | 1 to 4096 | The number of video sequences to generate simultaneously (default: 1). | -| `start_image` | IMAGE | No | N/A | An optional starting image. If provided, it is encoded and used to replace the noisy start of the model's output latents. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning prompts to guide the video generation. | CONDITIONING | Yes | N/A | +| `negative` | The negative conditioning prompts to steer the video generation away from certain concepts. | CONDITIONING | Yes | N/A | +| `vae` | The VAE model used to encode the optional starting image into the latent space. | VAE | Yes | N/A | +| `width` | The width of the output video in pixels (default: 768). | INT | No | 16 to 8192 (step 16) | +| `height` | The height of the output video in pixels (default: 512). | INT | No | 16 to 8192 (step 16) | +| `length` | The number of frames in the video (default: 121). | INT | No | 1 to 8192 (step 4) | +| `batch_size` | The number of video sequences to generate simultaneously (default: 1). | INT | No | 1 to 4096 | +| `start_image` | An optional starting image. If provided, it is encoded and used to replace the noisy start of the model's output latents. | IMAGE | No | N/A | **Note:** When a `start_image` is provided, it is automatically resized to match the specified `width` and `height` using bilinear interpolation. The first `length` frames of the image batch are used for encoding. The encoded latent is then injected into both the `positive` and `negative` conditioning to guide the video's initial appearance. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The modified positive conditioning, potentially updated with encoded start image data. | -| `negative` | CONDITIONING | The modified negative conditioning, potentially updated with encoded start image data. | -| `latent` | LATENT | An empty video latent tensor with zeros, shaped for the specified dimensions. | -| `cond_latent` | LATENT | The clean, encoded latent representation of the provided start images. This is used internally to replace the noisy beginning of the generated video latents. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The modified positive conditioning, potentially updated with encoded start image data. | CONDITIONING | +| `negative` | The modified negative conditioning, potentially updated with encoded start image data. | CONDITIONING | +| `latent` | An empty video latent tensor with zeros, shaped for the specified dimensions. | LATENT | +| `cond_latent` | The clean, encoded latent representation of the provided start images. This is used internally to replace the noisy beginning of the generated video latents. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Kandinsky5ImageToVideo/en.md) --- **Source fingerprint (SHA-256):** `c171187b89f102d608ddee9dc981e56674d62b02d936b3cf4dee3ce86760fd0e` diff --git a/built-in-nodes/KarrasScheduler.mdx b/built-in-nodes/KarrasScheduler.mdx index 9e9ddd68a..9d613e3f5 100644 --- a/built-in-nodes/KarrasScheduler.mdx +++ b/built-in-nodes/KarrasScheduler.mdx @@ -9,15 +9,17 @@ The KarrasScheduler node is designed to generate a sequence of noise levels (sig ## Inputs -| Parameter | Data Type | Description | -|-------------|-------------|------------------------------------------------------------------------------------------------| -| `steps` | INT | Specifies the number of steps in the noise schedule, affecting the granularity of the generated sigmas sequence. | -| `sigma_max` | FLOAT | The maximum sigma value in the noise schedule, setting the upper bound of noise levels. | -| `sigma_min` | FLOAT | The minimum sigma value in the noise schedule, setting the lower bound of noise levels. | -| `rho` | FLOAT | A parameter that controls the shape of the noise schedule curve, influencing how noise levels progress from sigma_min to sigma_max. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `steps` | Specifies the number of steps in the noise schedule, affecting the granularity of the generated sigmas sequence. | INT | +| `sigma_max` | The maximum sigma value in the noise schedule, setting the upper bound of noise levels. | FLOAT | +| `sigma_min` | The minimum sigma value in the noise schedule, setting the lower bound of noise levels. | FLOAT | +| `rho` | A parameter that controls the shape of the noise schedule curve, influencing how noise levels progress from sigma_min to sigma_max. | FLOAT | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-----------------------------------------------------------------------------| -| `sigmas` | SIGMAS | The generated sequence of noise levels (sigmas) following the Karras et al. (2022) noise schedule. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `sigmas` | The generated sequence of noise levels (sigmas) following the Karras et al. (2022) noise schedule. | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KarrasScheduler/en.md) diff --git a/built-in-nodes/KlingAvatarNode.mdx b/built-in-nodes/KlingAvatarNode.mdx index 1759b87b1..12078b984 100644 --- a/built-in-nodes/KlingAvatarNode.mdx +++ b/built-in-nodes/KlingAvatarNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "KlingAvatarNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingAvatarNode/en.md) - The Kling Avatar 2.0 node generates broadcast-style digital human videos from a single reference photo and an audio file. It creates a talking avatar video with an optional text prompt to define the avatar's actions, emotions, and camera movements. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | Avatar reference image. Width and height must be at least 300px. Aspect ratio must be between 1:2.5 and 2.5:1. | -| `sound_file` | AUDIO | Yes | - | Audio input. Must be between 2 and 300 seconds in duration. | -| `mode` | COMBO | Yes | `"std"`
`"pro"` | The generation mode to use. | -| `prompt` | STRING | No | - | Optional prompt to define avatar actions, emotions, and camera movements. (default: empty string) | -| `seed` | INT | Yes | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | Avatar reference image. Width and height must be at least 300px. Aspect ratio must be between 1:2.5 and 2.5:1. | IMAGE | Yes | - | +| `sound_file` | Audio input. Must be between 2 and 300 seconds in duration. | AUDIO | Yes | - | +| `mode` | The generation mode to use. | COMBO | Yes | `"std"`
`"pro"` | +| `prompt` | Optional prompt to define avatar actions, emotions, and camera movements. (default: empty string) | STRING | No | - | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | Yes | 0 to 2147483647 | **Note:** The `image` and `sound_file` inputs have specific validation requirements. The image must be at least 300x300 pixels with an aspect ratio between 1:2.5 and 2.5:1. The audio file must be between 2 and 300 seconds long. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated digital human video. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated digital human video. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingAvatarNode/en.md) --- **Source fingerprint (SHA-256):** `d9264e250c578dcb38612c192f8567a8f48c6624e030d8765b13bb71aae2d0b8` diff --git a/built-in-nodes/KlingCameraControlI2VNode.mdx b/built-in-nodes/KlingCameraControlI2VNode.mdx index 79b0e2c2e..d78b26381 100644 --- a/built-in-nodes/KlingCameraControlI2VNode.mdx +++ b/built-in-nodes/KlingCameraControlI2VNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "KlingCameraControlI2VNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/en.md) - The Kling Image to Video Camera Control Node transforms still images into cinematic videos with professional camera movements. This specialized image-to-video node allows you to control virtual camera actions including zoom, rotation, pan, tilt, and first-person view while maintaining focus on your original image. Camera control is currently only supported in pro mode with the kling-v1-5 model at 5-second duration. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `start_frame` | IMAGE | Yes | - | Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300x300px, aspect ratio between 1:2.5 and 2.5:1. Base64 should not include data:image prefix. | -| `prompt` | STRING | Yes | - | Positive text prompt describing the desired video content. Maximum length is 500 characters. | -| `negative_prompt` | STRING | Yes | - | Negative text prompt describing what to avoid in the generated video. Maximum length is 500 characters. | -| `cfg_scale` | FLOAT | No | 0.0 to 1.0 | Controls the strength of text guidance. Higher values make the output more closely follow the prompt (default: 0.75) | -| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"1:1"` | The aspect ratio of the generated video (default: "16:9") | -| `camera_control` | CAMERA_CONTROL | Yes | - | Can be created using the Kling Camera Controls node. Controls the camera movement and motion during the video generation. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `start_frame` | Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300x300px, aspect ratio between 1:2.5 and 2.5:1. Base64 should not include data:image prefix. | IMAGE | Yes | - | +| `prompt` | Positive text prompt describing the desired video content. Maximum length is 500 characters. | STRING | Yes | - | +| `negative_prompt` | Negative text prompt describing what to avoid in the generated video. Maximum length is 500 characters. | STRING | Yes | - | +| `cfg_scale` | Controls the strength of text guidance. Higher values make the output more closely follow the prompt (default: 0.75) | FLOAT | No | 0.0 to 1.0 | +| `aspect_ratio` | The aspect ratio of the generated video (default: "16:9") | COMBO | No | `"16:9"`
`"9:16"`
`"1:1"` | +| `camera_control` | Can be created using the Kling Camera Controls node. Controls the camera movement and motion during the video generation. | CAMERA_CONTROL | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video output | -| `video_id` | STRING | Unique identifier for the generated video | -| `duration` | STRING | Duration of the generated video | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video output | VIDEO | +| `video_id` | Unique identifier for the generated video | STRING | +| `duration` | Duration of the generated video | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/en.md) --- **Source fingerprint (SHA-256):** `c7c0ef732a97d60b03c6942a9f026a23982ea5d86746520772cc6bf2f450865c` diff --git a/built-in-nodes/KlingCameraControlT2VNode.mdx b/built-in-nodes/KlingCameraControlT2VNode.mdx index 14c0c97a4..3a498485c 100644 --- a/built-in-nodes/KlingCameraControlT2VNode.mdx +++ b/built-in-nodes/KlingCameraControlT2VNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "KlingCameraControlT2VNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/en.md) - Kling Text to Video Camera Control Node transforms text into cinematic videos with professional camera movements that simulate real-world cinematography. This node supports controlling virtual camera actions including zoom, rotation, pan, tilt, and first-person view while maintaining focus on your original text. The duration, mode, and model name are hard-coded because camera control is only supported in pro mode with the kling-v1-5 model at 5-second duration. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Positive text prompt | -| `negative_prompt` | STRING | Yes | - | Negative text prompt | -| `cfg_scale` | FLOAT | No | 0.0-1.0 | Controls how closely the output follows the prompt (default: 0.75) | -| `aspect_ratio` | COMBO | No | "16:9"
"9:16"
"1:1"
"21:9"
"3:4"
"4:3" | The aspect ratio for the generated video (default: "16:9") | -| `camera_control` | CAMERA_CONTROL | No | - | Can be created using the Kling Camera Controls node. Controls the camera movement and motion during the video generation. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Positive text prompt | STRING | Yes | - | +| `negative_prompt` | Negative text prompt | STRING | Yes | - | +| `cfg_scale` | Controls how closely the output follows the prompt (default: 0.75) | FLOAT | No | 0.0-1.0 | +| `aspect_ratio` | The aspect ratio for the generated video (default: "16:9") | COMBO | No | "16:9"
"9:16"
"1:1"
"21:9"
"3:4"
"4:3" | +| `camera_control` | Can be created using the Kling Camera Controls node. Controls the camera movement and motion during the video generation. | CAMERA_CONTROL | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video with camera control effects | -| `video_id` | STRING | The unique identifier for the generated video | -| `duration` | STRING | The duration of the generated video | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video with camera control effects | VIDEO | +| `video_id` | The unique identifier for the generated video | STRING | +| `duration` | The duration of the generated video | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/en.md) --- **Source fingerprint (SHA-256):** `c2e6ea8f136d3bb82d6627b3362a8a4dfb9cb0414f6d846e5283e49a0ba6d357` diff --git a/built-in-nodes/KlingCameraControls.mdx b/built-in-nodes/KlingCameraControls.mdx index 353ca4c52..a41c06c2f 100644 --- a/built-in-nodes/KlingCameraControls.mdx +++ b/built-in-nodes/KlingCameraControls.mdx @@ -5,29 +5,29 @@ sidebarTitle: "KlingCameraControls" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControls/en.md) - The Kling Camera Controls node allows you to configure various camera movement and rotation parameters for creating motion control effects in video generation. It provides controls for camera positioning, rotation, and zoom to simulate different camera movements. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `camera_control_type` | COMBO | Yes | `"simple"`
`"advanced"` | Specifies the type of camera control configuration to use | -| `horizontal_movement` | FLOAT | No | -10.0 to 10.0 | Controls camera's movement along horizontal axis (x-axis). Negative indicates left, positive indicates right (default: 0.0) | -| `vertical_movement` | FLOAT | No | -10.0 to 10.0 | Controls camera's movement along vertical axis (y-axis). Negative indicates downward, positive indicates upward (default: 0.0) | -| `pan` | FLOAT | No | -10.0 to 10.0 | Controls camera's rotation in vertical plane (x-axis). Negative indicates downward rotation, positive indicates upward rotation (default: 0.5) | -| `tilt` | FLOAT | No | -10.0 to 10.0 | Controls camera's rotation in horizontal plane (y-axis). Negative indicates left rotation, positive indicates right rotation (default: 0.0) | -| `roll` | FLOAT | No | -10.0 to 10.0 | Controls camera's rolling amount (z-axis). Negative indicates counterclockwise, positive indicates clockwise (default: 0.0) | -| `zoom` | FLOAT | No | -10.0 to 10.0 | Controls change in camera's focal length. Negative indicates narrower field of view, positive indicates wider field of view (default: 0.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `camera_control_type` | Specifies the type of camera control configuration to use | COMBO | Yes | `"simple"`
`"advanced"` | +| `horizontal_movement` | Controls camera's movement along horizontal axis (x-axis). Negative indicates left, positive indicates right (default: 0.0) | FLOAT | No | -10.0 to 10.0 | +| `vertical_movement` | Controls camera's movement along vertical axis (y-axis). Negative indicates downward, positive indicates upward (default: 0.0) | FLOAT | No | -10.0 to 10.0 | +| `pan` | Controls camera's rotation in vertical plane (x-axis). Negative indicates downward rotation, positive indicates upward rotation (default: 0.5) | FLOAT | No | -10.0 to 10.0 | +| `tilt` | Controls camera's rotation in horizontal plane (y-axis). Negative indicates left rotation, positive indicates right rotation (default: 0.0) | FLOAT | No | -10.0 to 10.0 | +| `roll` | Controls camera's rolling amount (z-axis). Negative indicates counterclockwise, positive indicates clockwise (default: 0.0) | FLOAT | No | -10.0 to 10.0 | +| `zoom` | Controls change in camera's focal length. Negative indicates narrower field of view, positive indicates wider field of view (default: 0.0) | FLOAT | No | -10.0 to 10.0 | **Note:** At least one of the camera control parameters (`horizontal_movement`, `vertical_movement`, `pan`, `tilt`, `roll`, or `zoom`) must have a non-zero value for the configuration to be valid. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `camera_control` | CAMERA_CONTROL | Returns the configured camera control settings for use in video generation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `camera_control` | Returns the configured camera control settings for use in video generation | CAMERA_CONTROL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControls/en.md) --- **Source fingerprint (SHA-256):** `35bc9a47bb58f847e73b87156d099e821bd791546f6126dc78e47c5494a7851c` diff --git a/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx b/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx index e7135f15a..ddc9a8b74 100644 --- a/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx +++ b/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "KlingDualCharacterVideoEffectNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md) - The Kling Dual Character Video Effect Node creates videos with special effects based on the selected scene. It takes two images and positions the first image on the left side and the second image on the right side of the composite video. Different visual effects are applied depending on the chosen effect scene. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image_left` | IMAGE | Yes | - | Left side image | -| `image_right` | IMAGE | Yes | - | Right side image | -| `effect_scene` | COMBO | Yes | `"chat"`
`"dance"`
`"hug"`
`"kill"`
`"kiss"`
`"pat"`
`"punch"`
`"shrug"`
`"slap"`
`"tickle"` | The type of special effect scene to apply to the video generation | -| `model_name` | COMBO | No | `"kling-v1"`
`"kling-v1-5"`
`"kling-v1-6"` | The model to use for character effects (default: "kling-v1") | -| `mode` | COMBO | No | `"std"`
`"pro"` | The video generation mode (default: "std") | -| `duration` | COMBO | Yes | `"5"`
`"10"` | The duration of the generated video in seconds | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image_left` | Left side image | IMAGE | Yes | - | +| `image_right` | Right side image | IMAGE | Yes | - | +| `effect_scene` | The type of special effect scene to apply to the video generation | COMBO | Yes | `"chat"`
`"dance"`
`"hug"`
`"kill"`
`"kiss"`
`"pat"`
`"punch"`
`"shrug"`
`"slap"`
`"tickle"` | +| `model_name` | The model to use for character effects (default: "kling-v1") | COMBO | No | `"kling-v1"`
`"kling-v1-5"`
`"kling-v1-6"` | +| `mode` | The video generation mode (default: "std") | COMBO | No | `"std"`
`"pro"` | +| `duration` | The duration of the generated video in seconds | COMBO | Yes | `"5"`
`"10"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video with dual character effects | -| `duration` | STRING | The duration information of the generated video | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video with dual character effects | VIDEO | +| `duration` | The duration information of the generated video | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md) --- **Source fingerprint (SHA-256):** `995616159d0b61a5398ec93e847b04fed8133a28a37f597427f0335ca17920b9` diff --git a/built-in-nodes/KlingFirstLastFrameNode.mdx b/built-in-nodes/KlingFirstLastFrameNode.mdx index 06bf30362..788bc5f94 100644 --- a/built-in-nodes/KlingFirstLastFrameNode.mdx +++ b/built-in-nodes/KlingFirstLastFrameNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "KlingFirstLastFrameNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md) - This node uses the Kling 3.0 model to generate a video. It creates the video based on a text prompt, a specified duration, and two provided images: a starting frame and an ending frame. The node can also generate accompanying audio for the video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | The text description that guides the video generation. Must be between 1 and 2500 characters long. | -| `duration` | INT | No | 3 to 15 | The length of the video in seconds (default: 5). | -| `first_frame` | IMAGE | Yes | N/A | The starting image for the video. Must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | -| `end_frame` | IMAGE | Yes | N/A | The ending image for the video. Must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | -| `generate_audio` | BOOLEAN | No | N/A | Controls whether to generate audio for the video (default: True). | -| `model` | COMBO | No | `"kling-v3"` | Model and generation settings. Selecting this option reveals a nested `resolution` parameter. | -| `model.resolution` | COMBO | No | `"4k"`
`"1080p"`
`"720p"` | The resolution for the generated video. This parameter is only available when the `model` is set to `"kling-v3"` (default: `"1080p"`). | -| `seed` | INT | No | 0 to 2147483647 | A number used to control whether the node should re-run. The results are non-deterministic regardless of the seed value (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | The text description that guides the video generation. Must be between 1 and 2500 characters long. | STRING | Yes | N/A | +| `duration` | The length of the video in seconds (default: 5). | INT | No | 3 to 15 | +| `first_frame` | The starting image for the video. Must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | IMAGE | Yes | N/A | +| `end_frame` | The ending image for the video. Must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | IMAGE | Yes | N/A | +| `generate_audio` | Controls whether to generate audio for the video (default: True). | BOOLEAN | No | N/A | +| `model` | Model and generation settings. Selecting this option reveals a nested `resolution` parameter. | COMBO | No | `"kling-v3"` | +| `model.resolution` | The resolution for the generated video. This parameter is only available when the `model` is set to `"kling-v3"` (default: `"1080p"`). | COMBO | No | `"4k"`
`"1080p"`
`"720p"` | +| `seed` | A number used to control whether the node should re-run. The results are non-deterministic regardless of the seed value (default: 0). | INT | No | 0 to 2147483647 | **Note:** The `first_frame` and `end_frame` images must meet the specified minimum size and aspect ratio requirements for the node to function correctly. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md) --- **Source fingerprint (SHA-256):** `def99b6a37962b5a28be1025ce41ae50bf7b90246c50894fcf3419365f807b2f` diff --git a/built-in-nodes/KlingImage2VideoNode.mdx b/built-in-nodes/KlingImage2VideoNode.mdx index 07f446965..33b8d39aa 100644 --- a/built-in-nodes/KlingImage2VideoNode.mdx +++ b/built-in-nodes/KlingImage2VideoNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "KlingImage2VideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md) - The Kling Image to Video Node generates a video from a starting reference image using text prompts. It takes an image as the first frame and creates a video sequence based on positive and negative text descriptions, with configurable options for model, duration, aspect ratio, and generation mode. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `start_frame` | IMAGE | Yes | - | The reference image used to generate the video. The image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | -| `prompt` | STRING | Yes | - | Positive text prompt. Maximum 500 characters. | -| `negative_prompt` | STRING | Yes | - | Negative text prompt. Maximum 500 characters. | -| `model_name` | COMBO | Yes | `"kling-v2-master"`
`"kling-v2-1-master"`
`"kling-v2-5-turbo"`
`"kling-v2-1"`
`"kling-v1-6"`
`"kling-v1-5"`
`"kling-v1-4"`
`"kling-v1-0"` | The model used for video generation (default: `"kling-v2-master"`). | -| `cfg_scale` | FLOAT | Yes | 0.0 to 1.0 | Controls how closely the video follows the prompt. Higher values mean stronger adherence (default: 0.8). | -| `mode` | COMBO | Yes | `"std"`
`"pro"` | The generation mode. `"std"` is standard quality, `"pro"` is higher quality (default: `"std"`). Note: When using the `kling-v2-5-turbo` model, `"std"` mode is not supported and will be automatically switched to `"pro"`. | -| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The aspect ratio of the generated video (default: `"16:9"`). | -| `duration` | COMBO | Yes | `"5"`
`"10"` | The duration of the generated video in seconds (default: `"5"`). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `start_frame` | The reference image used to generate the video. The image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | IMAGE | Yes | - | +| `prompt` | Positive text prompt. Maximum 500 characters. | STRING | Yes | - | +| `negative_prompt` | Negative text prompt. Maximum 500 characters. | STRING | Yes | - | +| `model_name` | The model used for video generation (default: `"kling-v2-master"`). | COMBO | Yes | `"kling-v2-master"`
`"kling-v2-1-master"`
`"kling-v2-5-turbo"`
`"kling-v2-1"`
`"kling-v1-6"`
`"kling-v1-5"`
`"kling-v1-4"`
`"kling-v1-0"` | +| `cfg_scale` | Controls how closely the video follows the prompt. Higher values mean stronger adherence (default: 0.8). | FLOAT | Yes | 0.0 to 1.0 | +| `mode` | The generation mode. `"std"` is standard quality, `"pro"` is higher quality (default: `"std"`). Note: When using the `kling-v2-5-turbo` model, `"std"` mode is not supported and will be automatically switched to `"pro"`. | COMBO | Yes | `"std"`
`"pro"` | +| `aspect_ratio` | The aspect ratio of the generated video (default: `"16:9"`). | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | +| `duration` | The duration of the generated video in seconds (default: `"5"`). | COMBO | Yes | `"5"`
`"10"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video output. | -| `video_id` | STRING | Unique identifier for the generated video. | -| `duration` | STRING | Duration information for the generated video. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video output. | VIDEO | +| `video_id` | Unique identifier for the generated video. | STRING | +| `duration` | Duration information for the generated video. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md) --- **Source fingerprint (SHA-256):** `2845117c840372d457c58bfb8da077ccac32a9398e5679120104d8ee597d4855` diff --git a/built-in-nodes/KlingImageGenerationNode.mdx b/built-in-nodes/KlingImageGenerationNode.mdx index e5d9f8642..04c298928 100644 --- a/built-in-nodes/KlingImageGenerationNode.mdx +++ b/built-in-nodes/KlingImageGenerationNode.mdx @@ -5,24 +5,22 @@ sidebarTitle: "KlingImageGenerationNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageGenerationNode/en.md) - Kling Image Generation Node generates images from text prompts with the option to use a reference image for guidance. It creates one or more images based on your text description and reference settings, then returns the generated images as output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Positive text prompt | -| `negative_prompt` | STRING | Yes | - | Negative text prompt | -| `image_type` | COMBO | Yes | `"subject_reference"`
`"style_reference"` | Image reference type selection (advanced). Required when a reference image is provided. | -| `image_fidelity` | FLOAT | Yes | 0.0 - 1.0 | Reference intensity for user-uploaded images (default: 0.5, advanced) | -| `human_fidelity` | FLOAT | Yes | 0.0 - 1.0 | Subject reference similarity (default: 0.45, advanced) | -| `model_name` | COMBO | Yes | `"kling-v3"`
`"kling-v2"`
`"kling-v1-5"` | Model selection for image generation (default: "kling-v3") | -| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | Aspect ratio for generated images (default: "16:9") | -| `n` | INT | Yes | 1 - 9 | Number of generated images (default: 1) | -| `image` | IMAGE | No | - | Optional reference image | -| `seed` | INT | No | 0 - 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Positive text prompt | STRING | Yes | - | +| `negative_prompt` | Negative text prompt | STRING | Yes | - | +| `image_type` | Image reference type selection (advanced). Required when a reference image is provided. | COMBO | Yes | `"subject_reference"`
`"style_reference"` | +| `image_fidelity` | Reference intensity for user-uploaded images (default: 0.5, advanced) | FLOAT | Yes | 0.0 - 1.0 | +| `human_fidelity` | Subject reference similarity (default: 0.45, advanced) | FLOAT | Yes | 0.0 - 1.0 | +| `model_name` | Model selection for image generation (default: "kling-v3") | COMBO | Yes | `"kling-v3"`
`"kling-v2"`
`"kling-v1-5"` | +| `aspect_ratio` | Aspect ratio for generated images (default: "16:9") | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | +| `n` | Number of generated images (default: 1) | INT | Yes | 1 - 9 | +| `image` | Optional reference image | IMAGE | No | - | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0) | INT | No | 0 - 2147483647 | **Parameter Constraints:** @@ -33,9 +31,11 @@ Kling Image Generation Node generates images from text prompts with the option t ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | Generated image(s) based on the input parameters | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | Generated image(s) based on the input parameters | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageGenerationNode/en.md) --- **Source fingerprint (SHA-256):** `3c029920c966ac9a3588a790e83e1350021a0864a02677258a25af46a0770dce` diff --git a/built-in-nodes/KlingImageToVideoWithAudio.mdx b/built-in-nodes/KlingImageToVideoWithAudio.mdx index 23b2f2daa..27bf924fc 100644 --- a/built-in-nodes/KlingImageToVideoWithAudio.mdx +++ b/built-in-nodes/KlingImageToVideoWithAudio.mdx @@ -5,26 +5,26 @@ sidebarTitle: "KlingImageToVideoWithAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md) - The Kling Image(First Frame) to Video with Audio node uses the Kling AI model to generate a short video from a single starting image and a text prompt. It creates a video sequence that begins with the provided image and can optionally include AI-generated audio to accompany the visuals. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | Yes | `"kling-v2-6"` | The specific version of the Kling AI model to use for video generation. | -| `start_frame` | IMAGE | Yes | - | The image that will serve as the first frame of the generated video. The image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | -| `prompt` | STRING | Yes | - | Positive text prompt. This describes the video content you want to generate. The prompt must be between 1 and 2500 characters long. | -| `mode` | COMBO | Yes | `"pro"` | The operational mode for the video generation. | -| `duration` | COMBO | Yes | `5`
`10` | The length of the video to generate, in seconds. | -| `generate_audio` | BOOLEAN | No | - | When enabled, the node will generate audio to accompany the video. When disabled, the video will be silent. (default: True) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_name` | The specific version of the Kling AI model to use for video generation. | COMBO | Yes | `"kling-v2-6"` | +| `start_frame` | The image that will serve as the first frame of the generated video. The image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | IMAGE | Yes | - | +| `prompt` | Positive text prompt. This describes the video content you want to generate. The prompt must be between 1 and 2500 characters long. | STRING | Yes | - | +| `mode` | The operational mode for the video generation. | COMBO | Yes | `"pro"` | +| `duration` | The length of the video to generate, in seconds. | COMBO | Yes | `5`
`10` | +| `generate_audio` | When enabled, the node will generate audio to accompany the video. When disabled, the video will be silent. (default: True) | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The generated video file, which may include audio depending on the `generate_audio` input. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The generated video file, which may include audio depending on the `generate_audio` input. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md) --- **Source fingerprint (SHA-256):** `c994748fdfa6d79f81aaf864ec174a6b608c4f05943a7e23edd345608122d9a1` diff --git a/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx b/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx index 372932656..a6f99f2fe 100644 --- a/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx +++ b/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx @@ -5,17 +5,15 @@ sidebarTitle: "KlingLipSyncAudioToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/en.md) - Kling Lip Sync Audio to Video Node synchronizes mouth movements in a video file to match the audio content of an audio file. This node analyzes the vocal patterns in the audio and adjusts the facial movements in the video to create realistic lip-syncing. The process requires both a video containing a distinct face and an audio file with clearly distinguishable vocals. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | - | The video file containing a face to be lip-synced | -| `audio` | AUDIO | Yes | - | The audio file containing vocals to sync with the video | -| `voice_language` | COMBO | Yes | `"en"`
`"zh"`
`"es"`
`"fr"`
`"de"`
`"it"`
`"pt"`
`"pl"`
`"tr"`
`"ru"`
`"nl"`
`"cs"`
`"ar"`
`"ja"`
`"hu"`
`"ko"` | The language of the voice in the audio file (default: "en") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | The video file containing a face to be lip-synced | VIDEO | Yes | - | +| `audio` | The audio file containing vocals to sync with the video | AUDIO | Yes | - | +| `voice_language` | The language of the voice in the audio file (default: "en") | COMBO | Yes | `"en"`
`"zh"`
`"es"`
`"fr"`
`"de"`
`"it"`
`"pt"`
`"pl"`
`"tr"`
`"ru"`
`"nl"`
`"cs"`
`"ar"`
`"ja"`
`"hu"`
`"ko"` | **Important Constraints:** @@ -28,11 +26,13 @@ Kling Lip Sync Audio to Video Node synchronizes mouth movements in a video file ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The processed video with lip-synced mouth movements | -| `video_id` | STRING | The unique identifier for the processed video | -| `duration` | STRING | The duration of the processed video | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The processed video with lip-synced mouth movements | VIDEO | +| `video_id` | The unique identifier for the processed video | STRING | +| `duration` | The duration of the processed video | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `bc6dcc5a1e3b873edc0c65cc156bb622992866920a4975a308d8cdb8a3c0e71a` diff --git a/built-in-nodes/KlingLipSyncTextToVideoNode.mdx b/built-in-nodes/KlingLipSyncTextToVideoNode.mdx index e1cbbc3ba..2bee3aad0 100644 --- a/built-in-nodes/KlingLipSyncTextToVideoNode.mdx +++ b/built-in-nodes/KlingLipSyncTextToVideoNode.mdx @@ -5,18 +5,16 @@ sidebarTitle: "KlingLipSyncTextToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/en.md) - Kling Lip Sync Text to Video Node synchronizes mouth movements in a video file to match a text prompt. It takes an input video and generates a new video where the character's lip movements are aligned with the provided text. The node uses voice synthesis to create natural-looking speech synchronization. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | - | Input video file for lip synchronization. Video must be between 720px and 1920px in height/width, between 2s and 10s in duration, and no larger than 100MB. | -| `text` | STRING | Yes | - | Text Content for Lip-Sync Video Generation. Required when mode is text2video. Maximum length is 120 characters. | -| `voice` | COMBO | No | "Melody"
"Sunny"
"Sage"
"Ace"
"Blossom"
"Peppy"
"Dove"
"Shine"
"Anchor"
"Lyric"
"Tender"
"Siren"
"Zippy"
"Bud"
"Sprite"
"Candy"
"Beacon"
"Rock"
"Titan"
"Grace"
"Helen"
"Lore"
"Crag"
"Prattle"
"Hearth"
"The Reader"
"Commercial Lady"
"阳光少年"
"懂事小弟"
"运动少年"
"青春少女"
"温柔小妹"
"元气少女"
"阳光男生"
"幽默小哥"
"文艺小哥"
"甜美邻家"
"温柔姐姐"
"职场女青"
"活泼男童"
"俏皮女童"
"稳重老爸"
"温柔妈妈"
"严肃上司"
"优雅贵妇"
"慈祥爷爷"
"唠叨爷爷"
"唠叨奶奶"
"和蔼奶奶"
"东北老铁"
"重庆小伙"
"四川妹子"
"潮汕大叔"
"台湾男生"
"西安掌柜"
"天津姐姐"
"新闻播报男"
"译制片男"
"撒娇女友"
"刀片烟嗓"
"乖巧正太" | Voice selection for the lip-sync audio (default: "Melody"). Includes both English and Chinese voice options. | -| `voice_speed` | FLOAT | No | 0.8-2.0 | Speech Rate. Valid range: 0.8~2.0, accurate to one decimal place. (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | Input video file for lip synchronization. Video must be between 720px and 1920px in height/width, between 2s and 10s in duration, and no larger than 100MB. | VIDEO | Yes | - | +| `text` | Text Content for Lip-Sync Video Generation. Required when mode is text2video. Maximum length is 120 characters. | STRING | Yes | - | +| `voice` | Voice selection for the lip-sync audio (default: "Melody"). Includes both English and Chinese voice options. | COMBO | No | "Melody"
"Sunny"
"Sage"
"Ace"
"Blossom"
"Peppy"
"Dove"
"Shine"
"Anchor"
"Lyric"
"Tender"
"Siren"
"Zippy"
"Bud"
"Sprite"
"Candy"
"Beacon"
"Rock"
"Titan"
"Grace"
"Helen"
"Lore"
"Crag"
"Prattle"
"Hearth"
"The Reader"
"Commercial Lady"
"阳光少年"
"懂事小弟"
"运动少年"
"青春少女"
"温柔小妹"
"元气少女"
"阳光男生"
"幽默小哥"
"文艺小哥"
"甜美邻家"
"温柔姐姐"
"职场女青"
"活泼男童"
"俏皮女童"
"稳重老爸"
"温柔妈妈"
"严肃上司"
"优雅贵妇"
"慈祥爷爷"
"唠叨爷爷"
"唠叨奶奶"
"和蔼奶奶"
"东北老铁"
"重庆小伙"
"四川妹子"
"潮汕大叔"
"台湾男生"
"西安掌柜"
"天津姐姐"
"新闻播报男"
"译制片男"
"撒娇女友"
"刀片烟嗓"
"乖巧正太" | +| `voice_speed` | Speech Rate. Valid range: 0.8~2.0, accurate to one decimal place. (default: 1) | FLOAT | No | 0.8-2.0 | **Video Requirements:** @@ -26,11 +24,13 @@ Kling Lip Sync Text to Video Node synchronizes mouth movements in a video file t ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | Generated video with lip-synchronized audio | -| `video_id` | STRING | Unique identifier for the generated video | -| `duration` | STRING | Duration information for the generated video | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | Generated video with lip-synchronized audio | VIDEO | +| `video_id` | Unique identifier for the generated video | STRING | +| `duration` | Duration information for the generated video | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `fb6d208be684f8fc38f692c0439bcfebafc8c448932bc54fa4730da87113f376` diff --git a/built-in-nodes/KlingMotionControl.mdx b/built-in-nodes/KlingMotionControl.mdx index 7f3646484..936ccd0df 100644 --- a/built-in-nodes/KlingMotionControl.mdx +++ b/built-in-nodes/KlingMotionControl.mdx @@ -5,21 +5,19 @@ sidebarTitle: "KlingMotionControl" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingMotionControl/en.md) - The Kling Motion Control node generates a video by applying the motion, expressions, and camera movements from a reference video to a character defined by a reference image and a text prompt. It allows you to control whether the character's final orientation comes from the reference video or the reference image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | A text description of the desired video. Maximum length is 2500 characters. | -| `reference_image` | IMAGE | Yes | N/A | An image of the character to animate. Minimum dimensions are 340x340 pixels. The aspect ratio must be between 1:2.5 and 2.5:1. | -| `reference_video` | VIDEO | Yes | N/A | A motion reference video used to drive the character's movement and expression. Minimum dimensions are 340x340 pixels, maximum dimensions are 3850x3850 pixels. Duration limits depend on the `character_orientation` setting. | -| `keep_original_sound` | BOOLEAN | No | N/A | Determines if the original audio from the reference video is kept in the output. Default is `True`. | -| `character_orientation` | COMBO | No | `"video"`
`"image"` | Controls where the character's facing/orientation comes from. `"video"`: movements, expressions, camera moves, and orientation follow the motion reference video (other details via prompt). `"image"`: movements and expressions still follow the motion reference video, but the character orientation matches the reference image (camera/other details via prompt). | -| `mode` | COMBO | No | `"pro"`
`"std"` | The generation mode to use. | -| `model` | COMBO | No | `"kling-v3"`
`"kling-v2-6"` | The Kling model version to use. Default is `"kling-v2-6"`. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | A text description of the desired video. Maximum length is 2500 characters. | STRING | Yes | N/A | +| `reference_image` | An image of the character to animate. Minimum dimensions are 340x340 pixels. The aspect ratio must be between 1:2.5 and 2.5:1. | IMAGE | Yes | N/A | +| `reference_video` | A motion reference video used to drive the character's movement and expression. Minimum dimensions are 340x340 pixels, maximum dimensions are 3850x3850 pixels. Duration limits depend on the `character_orientation` setting. | VIDEO | Yes | N/A | +| `keep_original_sound` | Determines if the original audio from the reference video is kept in the output. Default is `True`. | BOOLEAN | No | N/A | +| `character_orientation` | Controls where the character's facing/orientation comes from. `"video"`: movements, expressions, camera moves, and orientation follow the motion reference video (other details via prompt). `"image"`: movements and expressions still follow the motion reference video, but the character orientation matches the reference image (camera/other details via prompt). | COMBO | No | `"video"`
`"image"` | +| `mode` | The generation mode to use. | COMBO | No | `"pro"`
`"std"` | +| `model` | The Kling model version to use. Default is `"kling-v2-6"`. | COMBO | No | `"kling-v3"`
`"kling-v2-6"` | **Constraints:** @@ -28,9 +26,11 @@ The Kling Motion Control node generates a video by applying the motion, expressi ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video with the character performing the motion from the reference video. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video with the character performing the motion from the reference video. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingMotionControl/en.md) --- **Source fingerprint (SHA-256):** `3e350ca448a927367edfc90c5abb572be7ffa589c9e8e8734066af280233bd60` diff --git a/built-in-nodes/KlingOmniProEditVideoNode.mdx b/built-in-nodes/KlingOmniProEditVideoNode.mdx index 5611e1b43..461b7a2fa 100644 --- a/built-in-nodes/KlingOmniProEditVideoNode.mdx +++ b/built-in-nodes/KlingOmniProEditVideoNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "KlingOmniProEditVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/en.md) - The Kling Omni Edit Video (Pro) node uses an AI model to edit an existing video based on a text description. You provide a source video and a prompt, and the node generates a new video of the same length with the requested changes. It can optionally use reference images to guide the style and keep the original audio from the source video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | The AI model to use for video editing (default: `"kling-v3-omni"`). | -| `prompt` | STRING | Yes | | A text prompt describing the video content. This can include both positive and negative descriptions. | -| `video` | VIDEO | Yes | | Video for editing. The output video length will be the same. | -| `keep_original_sound` | BOOLEAN | Yes | | Determines if the original audio from the input video is kept in the output (default: True). | -| `reference_images` | IMAGE | No | | Up to 4 additional reference images. | -| `resolution` | COMBO | No | `"1080p"`
`"720p"` | The resolution for the output video (default: `"1080p"`). | -| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_name` | The AI model to use for video editing (default: `"kling-v3-omni"`). | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | +| `prompt` | A text prompt describing the video content. This can include both positive and negative descriptions. | STRING | Yes | | +| `video` | Video for editing. The output video length will be the same. | VIDEO | Yes | | +| `keep_original_sound` | Determines if the original audio from the input video is kept in the output (default: True). | BOOLEAN | Yes | | +| `reference_images` | Up to 4 additional reference images. | IMAGE | No | | +| `resolution` | The resolution for the output video (default: `"1080p"`). | COMBO | No | `"1080p"`
`"720p"` | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | INT | No | 0 to 2147483647 | **Constraints and Limitations:** @@ -32,9 +30,11 @@ The Kling Omni Edit Video (Pro) node uses an AI model to edit an existing video ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The edited video generated by the AI model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The edited video generated by the AI model. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/en.md) --- **Source fingerprint (SHA-256):** `770f1944738c06523a537a1add85340ea9264771f62e463f4985ca6bcacddf78` diff --git a/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx b/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx index 51d7480a5..4dfe9df91 100644 --- a/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx +++ b/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx @@ -5,24 +5,22 @@ sidebarTitle: "KlingOmniProFirstLastFrameNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md) - This node uses the latest Kling AI model to generate a video from a start frame, an optional end frame, or reference images. It can create a single video or a multi-shot storyboard with individual prompts and durations for each segment. The node processes these inputs to produce a video of a specified length and resolution, with optional audio generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | The specific Kling AI model to use for video generation. | -| `prompt` | STRING | Yes | - | A text prompt describing the video content. This can include both positive and negative descriptions. Ignored when storyboards are enabled. | -| `duration` | INT | Yes | 3 to 15 | The desired length of the generated video in seconds (default: 5). | -| `first_frame` | IMAGE | Yes | - | The starting image for the video sequence. | -| `end_frame` | IMAGE | No | - | An optional end frame for the video. This cannot be used simultaneously with `reference_images`. Does not work with storyboards. | -| `reference_images` | IMAGE | No | - | Up to 6 additional reference images. | -| `resolution` | COMBO | No | `"4k"`
`"1080p"`
`"720p"` | The output resolution for the generated video (default: "1080p"). | -| `storyboards` | DYNAMIC_COMBO | No | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | Generate a series of video segments with individual prompts and durations. Only supported for `kling-v3-omni`. When enabled, each storyboard requires a prompt and duration input. | -| `generate_audio` | BOOLEAN | No | True / False | Generate audio for the video (default: False). Only supported for `kling-v3-omni`. | -| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_name` | The specific Kling AI model to use for video generation. | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | +| `prompt` | A text prompt describing the video content. This can include both positive and negative descriptions. Ignored when storyboards are enabled. | STRING | Yes | - | +| `duration` | The desired length of the generated video in seconds (default: 5). | INT | Yes | 3 to 15 | +| `first_frame` | The starting image for the video sequence. | IMAGE | Yes | - | +| `end_frame` | An optional end frame for the video. This cannot be used simultaneously with `reference_images`. Does not work with storyboards. | IMAGE | No | - | +| `reference_images` | Up to 6 additional reference images. | IMAGE | No | - | +| `resolution` | The output resolution for the generated video (default: "1080p"). | COMBO | No | `"4k"`
`"1080p"`
`"720p"` | +| `storyboards` | Generate a series of video segments with individual prompts and durations. Only supported for `kling-v3-omni`. When enabled, each storyboard requires a prompt and duration input. | DYNAMIC_COMBO | No | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | +| `generate_audio` | Generate audio for the video (default: False). Only supported for `kling-v3-omni`. | BOOLEAN | No | True / False | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | INT | No | 0 to 2147483647 | **Important Constraints:** @@ -39,9 +37,11 @@ This node uses the latest Kling AI model to generate a video from a start frame, ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md) --- **Source fingerprint (SHA-256):** `caa8c321124c70cb9cbeedee13cdde4c37c7e107c04265b4baf2dd8864a1fc65` diff --git a/built-in-nodes/KlingOmniProImageNode.mdx b/built-in-nodes/KlingOmniProImageNode.mdx index 2faf4e81d..6f58799ec 100644 --- a/built-in-nodes/KlingOmniProImageNode.mdx +++ b/built-in-nodes/KlingOmniProImageNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "KlingOmniProImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md) - The Kling Omni Image (Pro) node creates or edits images using the latest Kling AI model. It generates images based on a text description and can optionally use reference images to guide the style or content. The node sends a request to an external API, which processes the task and returns the final image(s). ## Inputs -| Parameter | Data Type | Required | Range | Description | -| :--- | :--- | :--- | :--- | :--- | -| `model_name` | COMBO | Yes | `"kling-v3-omni"`
`"kling-image-o1"` | The specific Kling AI model to use for image generation. | -| `prompt` | STRING | Yes | - | A text prompt describing the image content. This can include both positive and negative descriptions. The text must be between 1 and 2500 characters long. You can use `@image`, `@image1`, `@image2`, etc. or `@video`, `@video1`, `@video2`, etc. to reference uploaded images or videos in the prompt. | -| `resolution` | COMBO | Yes | `"1K"`
`"2K"`
`"4K"` | The target resolution for the generated image. Note: 4K resolution is not supported for the `kling-image-o1` model. | -| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"3:2"`
`"2:3"`
`"21:9"` | The desired aspect ratio (width to height) for the generated image. | -| `series_amount` | COMBO | Yes | `"disabled"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"` | Generate a series of images. This feature is not supported for the `kling-image-o1` model. (default: "disabled") | -| `reference_images` | IMAGE | No | - | Up to 10 additional reference images. Each image must be at least 300 pixels in both width and height, and its aspect ratio must be between 1:2.5 and 2.5:1. | -| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_name` | The specific Kling AI model to use for image generation. | COMBO | Yes | `"kling-v3-omni"`
`"kling-image-o1"` | +| `prompt` | A text prompt describing the image content. This can include both positive and negative descriptions. The text must be between 1 and 2500 characters long. You can use `@image`, `@image1`, `@image2`, etc. or `@video`, `@video1`, `@video2`, etc. to reference uploaded images or videos in the prompt. | STRING | Yes | - | +| `resolution` | The target resolution for the generated image. Note: 4K resolution is not supported for the `kling-image-o1` model. | COMBO | Yes | `"1K"`
`"2K"`
`"4K"` | +| `aspect_ratio` | The desired aspect ratio (width to height) for the generated image. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"3:2"`
`"2:3"`
`"21:9"` | +| `series_amount` | Generate a series of images. This feature is not supported for the `kling-image-o1` model. (default: "disabled") | COMBO | Yes | `"disabled"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"` | +| `reference_images` | Up to 10 additional reference images. Each image must be at least 300 pixels in both width and height, and its aspect ratio must be between 1:2.5 and 2.5:1. | IMAGE | No | - | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | No | 0 to 2147483647 | ## Outputs -| Output Name | Data Type | Description | -| :--- | :--- | :--- | -| `image` | IMAGE | The final image(s) generated or edited by the Kling AI model. If a series was requested, multiple images are returned as a batch. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The final image(s) generated or edited by the Kling AI model. If a series was requested, multiple images are returned as a batch. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md) --- **Source fingerprint (SHA-256):** `b1d25806bc3b8eaa5ee8677a32b1f1f45189b800a2bfe1664635eaa851c34032` diff --git a/built-in-nodes/KlingOmniProImageToVideoNode.mdx b/built-in-nodes/KlingOmniProImageToVideoNode.mdx index 007d3205f..1cfc9da6b 100644 --- a/built-in-nodes/KlingOmniProImageToVideoNode.mdx +++ b/built-in-nodes/KlingOmniProImageToVideoNode.mdx @@ -5,23 +5,21 @@ sidebarTitle: "KlingOmniProImageToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md) - This node uses the Kling AI model to generate a video based on a text prompt and up to seven reference images. It allows you to control the video's aspect ratio, duration, resolution, and optionally use storyboards or generate audio. The node sends the request to an external API and returns the generated video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | The specific Kling model to use for video generation (default: "kling-v3-omni"). | -| `prompt` | STRING | Yes | - | A text prompt describing the video content. This can include both positive and negative descriptions. The text is automatically normalized and must be between 1 and 2500 characters. Ignored when storyboards are enabled. | -| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The desired aspect ratio for the generated video. | -| `duration` | INT | Yes | 3 to 15 | The length of the video in seconds. The value can be adjusted with a slider (default: 5). | -| `reference_images` | IMAGE | Yes | - | Up to 7 reference images. Each image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | -| `resolution` | COMBO | No | `"4k"`
`"1080p"`
`"720p"` | The output resolution of the video. This parameter is optional (default: "1080p"). | -| `storyboards` | DYNAMIC_COMBO | No | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | Generate a series of video segments with individual prompts and durations. Only supported for `kling-v3-omni`. When enabled, the global `prompt` is ignored, and the total duration of all storyboard segments must equal the global `duration`. | -| `generate_audio` | BOOLEAN | No | `true`
`false` | Generate audio for the video. Only supported for `kling-v3-omni` (default: false). | -| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_name` | The specific Kling model to use for video generation (default: "kling-v3-omni"). | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | +| `prompt` | A text prompt describing the video content. This can include both positive and negative descriptions. The text is automatically normalized and must be between 1 and 2500 characters. Ignored when storyboards are enabled. | STRING | Yes | - | +| `aspect_ratio` | The desired aspect ratio for the generated video. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | +| `duration` | The length of the video in seconds. The value can be adjusted with a slider (default: 5). | INT | Yes | 3 to 15 | +| `reference_images` | Up to 7 reference images. Each image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | IMAGE | Yes | - | +| `resolution` | The output resolution of the video. This parameter is optional (default: "1080p"). | COMBO | No | `"4k"`
`"1080p"`
`"720p"` | +| `storyboards` | Generate a series of video segments with individual prompts and durations. Only supported for `kling-v3-omni`. When enabled, the global `prompt` is ignored, and the total duration of all storyboard segments must equal the global `duration`. | DYNAMIC_COMBO | No | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | +| `generate_audio` | Generate audio for the video. Only supported for `kling-v3-omni` (default: false). | BOOLEAN | No | `true`
`false` | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | INT | No | 0 to 2147483647 | **Note:** The `reference_images` input accepts a maximum of 7 images. If more are provided, the node will raise an error. Each image is validated for minimum dimensions and aspect ratio. @@ -33,9 +31,11 @@ This node uses the Kling AI model to generate a video based on a text prompt and ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `e1fe0433a604fbc071fdd426121a1f4ff10bb0aa6d3eb2d702306b7206dae4c0` diff --git a/built-in-nodes/KlingOmniProTextToVideoNode.mdx b/built-in-nodes/KlingOmniProTextToVideoNode.mdx index bdbe16737..6698a3d23 100644 --- a/built-in-nodes/KlingOmniProTextToVideoNode.mdx +++ b/built-in-nodes/KlingOmniProTextToVideoNode.mdx @@ -5,22 +5,20 @@ sidebarTitle: "KlingOmniProTextToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md) - This node uses the latest Kling AI model to generate a video from a text description. It sends your prompt to a remote API and returns the generated video. The node allows you to control the video's length, shape, quality, and even create multi-shot storyboards. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | The specific Kling model to use for video generation (default: `"kling-v3-omni"`). | -| `prompt` | STRING | Yes | 0 to 2500 characters | A text prompt describing the video content. This can include both positive and negative descriptions. Ignored when storyboards are enabled. | -| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The shape or dimensions of the video to generate. | -| `duration` | INT | Yes | 3 to 15 seconds | The length of the video in seconds (default: 5). | -| `resolution` | COMBO | No | `"4k"`
`"1080p"`
`"720p"` | The quality or pixel resolution of the video (default: `"1080p"`). | -| `storyboards` | DYNAMIC_COMBO | No | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | Generate a series of video segments with individual prompts and durations. Ignored for the o1 model. | -| `generate_audio` | BOOLEAN | No | True / False | Whether to generate audio for the video (default: False). | -| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_name` | The specific Kling model to use for video generation (default: `"kling-v3-omni"`). | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | +| `prompt` | A text prompt describing the video content. This can include both positive and negative descriptions. Ignored when storyboards are enabled. | STRING | Yes | 0 to 2500 characters | +| `aspect_ratio` | The shape or dimensions of the video to generate. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | +| `duration` | The length of the video in seconds (default: 5). | INT | Yes | 3 to 15 seconds | +| `resolution` | The quality or pixel resolution of the video (default: `"1080p"`). | COMBO | No | `"4k"`
`"1080p"`
`"720p"` | +| `storyboards` | Generate a series of video segments with individual prompts and durations. Ignored for the o1 model. | DYNAMIC_COMBO | No | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | +| `generate_audio` | Whether to generate audio for the video (default: False). | BOOLEAN | No | True / False | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | INT | No | 0 to 2147483647 | ### Parameter Constraints and Limitations @@ -39,9 +37,11 @@ This node uses the latest Kling AI model to generate a video from a text descrip ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The video generated based on the provided text prompt and settings. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The video generated based on the provided text prompt and settings. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `8789c78184356c8ca1d84e046a2c8db644b6e47822d909d95e9d7417f2311109` diff --git a/built-in-nodes/KlingOmniProVideoToVideoNode.mdx b/built-in-nodes/KlingOmniProVideoToVideoNode.mdx index 47eb805a3..b739b0213 100644 --- a/built-in-nodes/KlingOmniProVideoToVideoNode.mdx +++ b/built-in-nodes/KlingOmniProVideoToVideoNode.mdx @@ -5,23 +5,21 @@ sidebarTitle: "KlingOmniProVideoToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md) - This node uses the Kling AI model to generate a new video based on an input video and optional reference images. You provide a text prompt describing the desired content, and the node transforms the reference video accordingly. It can also incorporate up to four additional reference images to guide the style and content of the output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | The specific Kling model to use for video generation (default: "kling-v3-omni"). | -| `prompt` | STRING | Yes | N/A | A text prompt describing the video content. This can include both positive and negative descriptions. | -| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The desired aspect ratio for the generated video. | -| `duration` | INT | Yes | 3 to 10 | The length of the generated video in seconds (default: 3). | -| `reference_video` | VIDEO | Yes | N/A | Video to use as a reference. | -| `keep_original_sound` | BOOLEAN | Yes | N/A | Determines if the audio from the reference video is kept in the output (default: True). | -| `reference_images` | IMAGE | No | N/A | Up to 4 additional reference images. | -| `resolution` | COMBO | No | `"1080p"`
`"720p"` | The resolution for the generated video (default: "1080p"). | -| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_name` | The specific Kling model to use for video generation (default: "kling-v3-omni"). | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | +| `prompt` | A text prompt describing the video content. This can include both positive and negative descriptions. | STRING | Yes | N/A | +| `aspect_ratio` | The desired aspect ratio for the generated video. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | +| `duration` | The length of the generated video in seconds (default: 3). | INT | Yes | 3 to 10 | +| `reference_video` | Video to use as a reference. | VIDEO | Yes | N/A | +| `keep_original_sound` | Determines if the audio from the reference video is kept in the output (default: True). | BOOLEAN | Yes | N/A | +| `reference_images` | Up to 4 additional reference images. | IMAGE | No | N/A | +| `resolution` | The resolution for the generated video (default: "1080p"). | COMBO | No | `"1080p"`
`"720p"` | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | INT | No | 0 to 2147483647 | **Parameter Constraints:** @@ -32,9 +30,11 @@ This node uses the Kling AI model to generate a new video based on an input vide ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The newly generated video. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The newly generated video. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `aa99b865ca96ec5c2d5535d3392e8dc94dd5e56ebf624f8fdff09302767ab300` diff --git a/built-in-nodes/KlingSingleImageVideoEffectNode.mdx b/built-in-nodes/KlingSingleImageVideoEffectNode.mdx index 5bcf750e2..95d10408b 100644 --- a/built-in-nodes/KlingSingleImageVideoEffectNode.mdx +++ b/built-in-nodes/KlingSingleImageVideoEffectNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "KlingSingleImageVideoEffectNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/en.md) - The Kling Single Image Video Effect Node creates videos with different special effects based on a single reference image. It applies various visual effects and scenes to transform static images into dynamic video content. The node supports different effect scenes, model options, and video durations to achieve the desired visual outcome. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | Reference Image. URL or Base64 encoded string (without data:image prefix). File size cannot exceed 10MB, resolution not less than 300x300px, aspect ratio between 1:2.5 to 2.5:1 | -| `effect_scene` | COMBO | Yes | `"dizzydizzy"`
`"bloombloom"`
`"neon"`
`"cartoon"`
`"sketch"`
`"oil"`
`"watercolor"`
`"3d"` | The type of special effect scene to apply to the video generation. Some effects may have different pricing. | -| `model_name` | COMBO | Yes | `"kling-v1-5"`
`"kling-v1-6"` | The specific model version to use for generating the video effect. | -| `duration` | COMBO | Yes | `"5"`
`"10"` | The length of the generated video in seconds. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | Reference Image. URL or Base64 encoded string (without data:image prefix). File size cannot exceed 10MB, resolution not less than 300x300px, aspect ratio between 1:2.5 to 2.5:1 | IMAGE | Yes | - | +| `effect_scene` | The type of special effect scene to apply to the video generation. Some effects may have different pricing. | COMBO | Yes | `"dizzydizzy"`
`"bloombloom"`
`"neon"`
`"cartoon"`
`"sketch"`
`"oil"`
`"watercolor"`
`"3d"` | +| `model_name` | The specific model version to use for generating the video effect. | COMBO | Yes | `"kling-v1-5"`
`"kling-v1-6"` | +| `duration` | The length of the generated video in seconds. | COMBO | Yes | `"5"`
`"10"` | **Note:** The `effect_scene` parameter affects the pricing of the node. Effects `dizzydizzy` and `bloombloom` cost $0.49 USD per generation, while all other effects cost $0.28 USD per generation. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video with applied effects | -| `video_id` | STRING | The unique identifier for the generated video | -| `duration` | STRING | The duration of the generated video | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video with applied effects | VIDEO | +| `video_id` | The unique identifier for the generated video | STRING | +| `duration` | The duration of the generated video | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/en.md) --- **Source fingerprint (SHA-256):** `7e9d1e2830f16361587d3d1f082fb2536d36ca9d933aa9e2ced32eeb65a161ea` diff --git a/built-in-nodes/KlingStartEndFrameNode.mdx b/built-in-nodes/KlingStartEndFrameNode.mdx index af7a1cdd5..8fb94104a 100644 --- a/built-in-nodes/KlingStartEndFrameNode.mdx +++ b/built-in-nodes/KlingStartEndFrameNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "KlingStartEndFrameNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingStartEndFrameNode/en.md) - Kling Start-End Frame to Video node creates a video sequence that transitions between your provided start and end images. It generates all the frames in between to produce a smooth transformation from the first frame to the last frame. This node calls the image-to-video API but only supports the input options that work with the `image_tail` request field. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `start_frame` | IMAGE | Yes | - | Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1. Base64 should not include data:image prefix. | -| `end_frame` | IMAGE | Yes | - | Reference Image - End frame control. URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px. Base64 should not include data:image prefix. | -| `prompt` | STRING | Yes | - | Positive text prompt | -| `negative_prompt` | STRING | Yes | - | Negative text prompt | -| `cfg_scale` | FLOAT | No | 0.0-1.0 | Controls the strength of the prompt guidance (default: 0.5) | -| `aspect_ratio` | COMBO | No | "16:9"
"9:16"
"1:1" | The aspect ratio for the generated video (default: "16:9") | -| `mode` | COMBO | No | "pro mode / 5s duration / kling-v1-5"
"pro mode / 10s duration / kling-v1-5"
"pro mode / 5s duration / kling-v1-6"
"pro mode / 10s duration / kling-v1-6"
"pro mode / 5s duration / kling-v2-1"
"pro mode / 10s duration / kling-v2-1"
"pro mode / 5s duration / kling-v2-5-turbo"
"pro mode / 10s duration / kling-v2-5-turbo" | The configuration to use for the video generation following the format: mode / duration / model_name. (default: "pro mode / 5s duration / kling-v2-5-turbo") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `start_frame` | Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1. Base64 should not include data:image prefix. | IMAGE | Yes | - | +| `end_frame` | Reference Image - End frame control. URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px. Base64 should not include data:image prefix. | IMAGE | Yes | - | +| `prompt` | Positive text prompt | STRING | Yes | - | +| `negative_prompt` | Negative text prompt | STRING | Yes | - | +| `cfg_scale` | Controls the strength of the prompt guidance (default: 0.5) | FLOAT | No | 0.0-1.0 | +| `aspect_ratio` | The aspect ratio for the generated video (default: "16:9") | COMBO | No | "16:9"
"9:16"
"1:1" | +| `mode` | The configuration to use for the video generation following the format: mode / duration / model_name. (default: "pro mode / 5s duration / kling-v2-5-turbo") | COMBO | No | "pro mode / 5s duration / kling-v1-5"
"pro mode / 10s duration / kling-v1-5"
"pro mode / 5s duration / kling-v1-6"
"pro mode / 10s duration / kling-v1-6"
"pro mode / 5s duration / kling-v2-1"
"pro mode / 10s duration / kling-v2-1"
"pro mode / 5s duration / kling-v2-5-turbo"
"pro mode / 10s duration / kling-v2-5-turbo" | **Image Constraints:** @@ -30,11 +28,13 @@ Kling Start-End Frame to Video node creates a video sequence that transitions be ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video sequence | -| `video_id` | STRING | Unique identifier for the generated video | -| `duration` | STRING | Duration of the generated video | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video sequence | VIDEO | +| `video_id` | Unique identifier for the generated video | STRING | +| `duration` | Duration of the generated video | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingStartEndFrameNode/en.md) --- **Source fingerprint (SHA-256):** `e0bf25103e72ea3f56651adf64c0712f32c055f2b870448dcbbe82b546be8f37` diff --git a/built-in-nodes/KlingTextToVideoNode.mdx b/built-in-nodes/KlingTextToVideoNode.mdx index a84644a51..a47fb4594 100644 --- a/built-in-nodes/KlingTextToVideoNode.mdx +++ b/built-in-nodes/KlingTextToVideoNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "KlingTextToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md) - The Kling Text to Video Node converts text descriptions into video content. It takes text prompts and generates corresponding video sequences based on the specified configuration settings. The node supports different aspect ratios, generation modes, and model versions to produce videos of varying durations and quality. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | Maximum 2500 characters | Positive text prompt describing the desired video content | -| `negative_prompt` | STRING | Yes | Maximum 2500 characters | Negative text prompt describing what to avoid in the video | -| `cfg_scale` | FLOAT | No | 0.0 to 1.0 | Configuration scale value that controls how closely the video follows the prompt (default: 1.0) | -| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"1:1"` | Video aspect ratio setting (default: "16:9") | -| `mode` | COMBO | No | `"standard mode / 5s duration / kling-v1-6"`
`"standard mode / 10s duration / kling-v1-6"`
`"pro mode / 5s duration / kling-v2-master"`
`"pro mode / 10s duration / kling-v2-master"`
`"standard mode / 5s duration / kling-v2-master"`
`"standard mode / 10s duration / kling-v2-master"`
`"pro mode / 5s duration / kling-v2-1-master"`
`"pro mode / 10s duration / kling-v2-1-master"`
`"pro mode / 5s duration / kling-v2-5-turbo"`
`"pro mode / 10s duration / kling-v2-5-turbo"` | The configuration to use for video generation, following the format: mode / duration / model_name (default: "pro mode / 5s duration / kling-v2-5-turbo") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Positive text prompt describing the desired video content | STRING | Yes | Maximum 2500 characters | +| `negative_prompt` | Negative text prompt describing what to avoid in the video | STRING | Yes | Maximum 2500 characters | +| `cfg_scale` | Configuration scale value that controls how closely the video follows the prompt (default: 1.0) | FLOAT | No | 0.0 to 1.0 | +| `aspect_ratio` | Video aspect ratio setting (default: "16:9") | COMBO | No | `"16:9"`
`"9:16"`
`"1:1"` | +| `mode` | The configuration to use for video generation, following the format: mode / duration / model_name (default: "pro mode / 5s duration / kling-v2-5-turbo") | COMBO | No | `"standard mode / 5s duration / kling-v1-6"`
`"standard mode / 10s duration / kling-v1-6"`
`"pro mode / 5s duration / kling-v2-master"`
`"pro mode / 10s duration / kling-v2-master"`
`"standard mode / 5s duration / kling-v2-master"`
`"standard mode / 10s duration / kling-v2-master"`
`"pro mode / 5s duration / kling-v2-1-master"`
`"pro mode / 10s duration / kling-v2-1-master"`
`"pro mode / 5s duration / kling-v2-5-turbo"`
`"pro mode / 10s duration / kling-v2-5-turbo"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video output | -| `video_id` | STRING | Unique identifier for the generated video | -| `duration` | STRING | Duration information for the generated video | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video output | VIDEO | +| `video_id` | Unique identifier for the generated video | STRING | +| `duration` | Duration information for the generated video | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `2ec33023f023e8e6fbef04df4f6038a95b88205dbb9d170e88a964cf1ef03a27` diff --git a/built-in-nodes/KlingTextToVideoWithAudio.mdx b/built-in-nodes/KlingTextToVideoWithAudio.mdx index 3c773aeea..d470d69d9 100644 --- a/built-in-nodes/KlingTextToVideoWithAudio.mdx +++ b/built-in-nodes/KlingTextToVideoWithAudio.mdx @@ -5,26 +5,26 @@ sidebarTitle: "KlingTextToVideoWithAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/en.md) - The Kling Text to Video with Audio node generates a short video from a text description. It sends a request to the Kling AI service, which processes the prompt and returns a video file. The node can also generate accompanying audio for the video based on the text. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | Yes | `"kling-v2-6"` | The specific AI model to use for video generation. | -| `prompt` | STRING | Yes | - | Positive text prompt. The description used to generate the video. Must be between 1 and 2500 characters. | -| `mode` | COMBO | Yes | `"pro"` | The operational mode for the video generation. | -| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The desired width-to-height ratio for the generated video. | -| `duration` | COMBO | Yes | `5`
`10` | The length of the video in seconds. | -| `generate_audio` | BOOLEAN | No | - | Controls whether audio is generated for the video. When enabled, the AI will create sound based on the prompt. (default: `True`) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_name` | The specific AI model to use for video generation. | COMBO | Yes | `"kling-v2-6"` | +| `prompt` | Positive text prompt. The description used to generate the video. Must be between 1 and 2500 characters. | STRING | Yes | - | +| `mode` | The operational mode for the video generation. | COMBO | Yes | `"pro"` | +| `aspect_ratio` | The desired width-to-height ratio for the generated video. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | +| `duration` | The length of the video in seconds. | COMBO | Yes | `5`
`10` | +| `generate_audio` | Controls whether audio is generated for the video. When enabled, the AI will create sound based on the prompt. (default: `True`) | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/en.md) --- **Source fingerprint (SHA-256):** `60c76cc66b02552cfbf63dda35e8422349c0b6989ca07631d2d8321bb5686cca` diff --git a/built-in-nodes/KlingVideoExtendNode.mdx b/built-in-nodes/KlingVideoExtendNode.mdx index 3684f2931..4d7e52a41 100644 --- a/built-in-nodes/KlingVideoExtendNode.mdx +++ b/built-in-nodes/KlingVideoExtendNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "KlingVideoExtendNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoExtendNode/en.md) - The Kling Video Extend Node allows you to extend videos created by other Kling nodes. It takes an existing video identified by its video ID and generates additional content based on your text prompts. The node works by sending your extension request to the Kling API and returning the extended video along with its new ID and duration. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | No | - | Positive text prompt for guiding the video extension | -| `negative_prompt` | STRING | No | - | Negative text prompt for elements to avoid in the extended video | -| `cfg_scale` | FLOAT | No | 0.0 - 1.0 | Controls the strength of prompt guidance (default: 0.5) | -| `video_id` | STRING | Yes | - | The ID of the video to be extended. Supports videos generated by text-to-video, image-to-video, and previous video extension operations. Cannot exceed 3 minutes total duration after extension. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Positive text prompt for guiding the video extension | STRING | No | - | +| `negative_prompt` | Negative text prompt for elements to avoid in the extended video | STRING | No | - | +| `cfg_scale` | Controls the strength of prompt guidance (default: 0.5) | FLOAT | No | 0.0 - 1.0 | +| `video_id` | The ID of the video to be extended. Supports videos generated by text-to-video, image-to-video, and previous video extension operations. Cannot exceed 3 minutes total duration after extension. | STRING | Yes | - | **Note:** The `video_id` must reference a video created by other Kling nodes, and the total duration after extension cannot exceed 3 minutes. The positive prompt must not be empty and both prompts must be under 2500 characters. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The extended video generated by the Kling API | -| `video_id` | STRING | The unique identifier for the extended video | -| `duration` | STRING | The duration of the extended video | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The extended video generated by the Kling API | VIDEO | +| `video_id` | The unique identifier for the extended video | STRING | +| `duration` | The duration of the extended video | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoExtendNode/en.md) --- **Source fingerprint (SHA-256):** `31f9d394845412d92b9e9ad7e032acea9c686fe54e32b53dac3848ab54ff9287` diff --git a/built-in-nodes/KlingVideoNode.mdx b/built-in-nodes/KlingVideoNode.mdx index bce0b630a..af1bab791 100644 --- a/built-in-nodes/KlingVideoNode.mdx +++ b/built-in-nodes/KlingVideoNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "KlingVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoNode/en.md) - This node generates videos using the Kling V3 model. It supports two primary modes: text-to-video, where a video is created from a text description, and image-to-video, where an existing image is animated. It also offers advanced features like creating multi-segment videos with different prompts for each part (storyboards) and optionally generating accompanying audio. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `multi_shot` | COMBO | Yes | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | Controls whether to generate a single video or a series of segments with individual prompts and durations. When not "disabled," additional inputs for each storyboard's prompt and duration appear. | -| `generate_audio` | BOOLEAN | Yes | `True` / `False` | When enabled, the node will generate audio for the video. Default is `True`. | -| `model` | COMBO | Yes | `"kling-v3"` | The model and its associated settings. Selecting this option reveals the `resolution` and `aspect_ratio` sub-parameters. | -| `model.resolution` | COMBO | Yes | `"4k"`
`"1080p"`
`"720p"` | The resolution for the generated video. This setting is available when the `model` is set to "kling-v3". | -| `model.aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The aspect ratio for the generated video. This setting is ignored when an image is provided for `start_frame` (image-to-video mode). Available when the `model` is set to "kling-v3". | -| `seed` | INT | Yes | 0 to 2147483647 | A seed value for generation. Changing this value will cause the node to re-run, but the results are non-deterministic. Default is `0`. | -| `start_frame` | IMAGE | No | - | An optional starting image. When connected, the node switches from text-to-video to image-to-video mode, animating the provided image. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `multi_shot` | Controls whether to generate a single video or a series of segments with individual prompts and durations. When not "disabled," additional inputs for each storyboard's prompt and duration appear. | COMBO | Yes | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | +| `generate_audio` | When enabled, the node will generate audio for the video. Default is `True`. | BOOLEAN | Yes | `True` / `False` | +| `model` | The model and its associated settings. Selecting this option reveals the `resolution` and `aspect_ratio` sub-parameters. | COMBO | Yes | `"kling-v3"` | +| `model.resolution` | The resolution for the generated video. This setting is available when the `model` is set to "kling-v3". | COMBO | Yes | `"4k"`
`"1080p"`
`"720p"` | +| `model.aspect_ratio` | The aspect ratio for the generated video. This setting is ignored when an image is provided for `start_frame` (image-to-video mode). Available when the `model` is set to "kling-v3". | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | +| `seed` | A seed value for generation. Changing this value will cause the node to re-run, but the results are non-deterministic. Default is `0`. | INT | Yes | 0 to 2147483647 | +| `start_frame` | An optional starting image. When connected, the node switches from text-to-video to image-to-video mode, animating the provided image. | IMAGE | No | - | **Inputs for `multi_shot` mode:** @@ -37,9 +35,11 @@ This node generates videos using the Kling V3 model. It supports two primary mod ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoNode/en.md) --- **Source fingerprint (SHA-256):** `c329fa5a8609ccd2caec96fc23afae9ba79bdf835faa05450d4e20a7380087f5` diff --git a/built-in-nodes/KlingVirtualTryOnNode.mdx b/built-in-nodes/KlingVirtualTryOnNode.mdx index af610775f..d1c019eaf 100644 --- a/built-in-nodes/KlingVirtualTryOnNode.mdx +++ b/built-in-nodes/KlingVirtualTryOnNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "KlingVirtualTryOnNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/en.md) - Kling Virtual Try On Node. Input a human image and a cloth image to try on the cloth on the human. You can merge multiple clothing item pictures into one image with a white background. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `human_image` | IMAGE | Yes | - | The human image to try clothes on | -| `cloth_image` | IMAGE | Yes | - | The clothing image to try on the human | -| `model_name` | STRING | Yes | `"kolors-virtual-try-on-v1"` | The virtual try-on model to use (default: "kolors-virtual-try-on-v1") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `human_image` | The human image to try clothes on | IMAGE | Yes | - | +| `cloth_image` | The clothing image to try on the human | IMAGE | Yes | - | +| `model_name` | The virtual try-on model to use (default: "kolors-virtual-try-on-v1") | STRING | Yes | `"kolors-virtual-try-on-v1"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The resulting image showing the human with the clothing item tried on | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The resulting image showing the human with the clothing item tried on | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/en.md) --- **Source fingerprint (SHA-256):** `b642ea6583e971f47a580212030f564e24b055caf77dc99764b79ee21e2988f9` diff --git a/built-in-nodes/Krea2ImageNode.mdx b/built-in-nodes/Krea2ImageNode.mdx index 3a89f002b..3ab47134f 100644 --- a/built-in-nodes/Krea2ImageNode.mdx +++ b/built-in-nodes/Krea2ImageNode.mdx @@ -5,31 +5,29 @@ sidebarTitle: "Krea2ImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2ImageNode/en.md) - ## Overview The Krea 2 Image node generates images using the Krea 2 AI model. It supports two model variants: Medium for expressive illustrations and Large for expressive photorealism. You can optionally include a moodboard and up to 10 image style references to influence the generated image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text prompt for the image. | -| `model` | DICT | Yes | See below | Krea 2 Medium is best for expressive illustrations; Krea 2 Large is best for expressive photorealism. | -| `seed` | INT | Yes | 0 to 2147483647 | Random seed for reproducibility (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt for the image. | STRING | Yes | N/A | +| `model` | Krea 2 Medium is best for expressive illustrations; Krea 2 Large is best for expressive photorealism. | DICT | Yes | See below | +| `seed` | Random seed for reproducibility (default: 0). | INT | Yes | 0 to 2147483647 | The `model` parameter is a dictionary with the following sub-parameters: -| Sub-Parameter | Data Type | Required | Range | Description | -|---------------|-----------|----------|-------|-------------| -| `model` | STRING | Yes | `"krea 2 medium"`
`"krea 2 large"` | Selects the Krea 2 model variant. | -| `aspect_ratio` | STRING | Yes | N/A | The aspect ratio for the generated image. | -| `resolution` | STRING | Yes | N/A | The resolution for the generated image. | -| `creativity` | FLOAT | Yes | N/A | Controls the creativity level of the generation. | -| `moodboard_id` | STRING | No | N/A | The UUID of a Krea moodboard to influence the image. Must be a valid UUID. | -| `moodboard_strength` | FLOAT | No | N/A | The strength of the moodboard influence (default: 0.35). | -| `style_reference` | LIST | No | 0 to 10 items | A list of image style references. Each reference must have a `url` (STRING) and `strength` (FLOAT). | +| Sub-Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Selects the Krea 2 model variant. | STRING | Yes | `"krea 2 medium"`
`"krea 2 large"` | +| `aspect_ratio` | The aspect ratio for the generated image. | STRING | Yes | N/A | +| `resolution` | The resolution for the generated image. | STRING | Yes | N/A | +| `creativity` | Controls the creativity level of the generation. | FLOAT | Yes | N/A | +| `moodboard_id` | The UUID of a Krea moodboard to influence the image. Must be a valid UUID. | STRING | No | N/A | +| `moodboard_strength` | The strength of the moodboard influence (default: 0.35). | FLOAT | No | N/A | +| `style_reference` | A list of image style references. Each reference must have a `url` (STRING) and `strength` (FLOAT). | LIST | No | 0 to 10 items | **Constraints:** - `moodboard_id` must be a valid UUID (e.g., `"123e4567-e89b-12d3-a456-426614174000"`). Copy it from the Krea website. @@ -38,9 +36,11 @@ The `model` parameter is a dictionary with the following sub-parameters: ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The generated image as a tensor. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The generated image as a tensor. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2ImageNode/en.md) --- **Source fingerprint (SHA-256):** `6aeb2d935ef5df5699a19271c9ceb766892ef4b0e4f67bfa540bf12ffadf362d` diff --git a/built-in-nodes/Krea2StyleReferenceNode.mdx b/built-in-nodes/Krea2StyleReferenceNode.mdx index a25f45e26..5f517aaed 100644 --- a/built-in-nodes/Krea2StyleReferenceNode.mdx +++ b/built-in-nodes/Krea2StyleReferenceNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "Krea2StyleReferenceNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2StyleReferenceNode/en.md) - ## Overview The Krea 2 Style Reference node lets you add a reference image to influence the style of a Krea 2 image generation. You can chain multiple style references together (up to 10 total) and feed the combined result into a Krea 2 Image node. Each image you provide is uploaded to ComfyAPI storage and passed as a URL. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | Reference image whose style influences the generation. | -| `strength` | FLOAT | Yes | -2.0 to 2.0 (step: 0.05) | Reference strength; negative values invert the style influence (default: 1.0). | -| `style_reference` | STYLE_REF | No | - | Optional incoming chain of style references; this node appends one more. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | Reference image whose style influences the generation. | IMAGE | Yes | - | +| `strength` | Reference strength; negative values invert the style influence (default: 1.0). | FLOAT | Yes | -2.0 to 2.0 (step: 0.05) | +| `style_reference` | Optional incoming chain of style references; this node appends one more. | STYLE_REF | No | - | **Note on constraints:** You can chain a maximum of 10 style references in total. If you try to add an 11th reference, the node will raise an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `style_reference` | STYLE_REF | A list of style reference entries, each containing a URL and strength value. Feed this output into a Krea 2 Image node. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `style_reference` | A list of style reference entries, each containing a URL and strength value. Feed this output into a Krea 2 Image node. | STYLE_REF | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2StyleReferenceNode/en.md) --- **Source fingerprint (SHA-256):** `7f87568a1cd5038571f3188cfb1d71e15533ea19eee01d7826fe574a1a4dc88d` diff --git a/built-in-nodes/LTXAVTextEncoderLoader.mdx b/built-in-nodes/LTXAVTextEncoderLoader.mdx index 5c14bf7f0..35d6ad03b 100644 --- a/built-in-nodes/LTXAVTextEncoderLoader.mdx +++ b/built-in-nodes/LTXAVTextEncoderLoader.mdx @@ -5,25 +5,25 @@ sidebarTitle: "LTXAVTextEncoderLoader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/en.md) - This node loads a specialized text encoder for the LTXV audio model. It combines a specific text encoder file with a checkpoint file to create a CLIP model that can be used for audio-related text conditioning tasks. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `text_encoder` | STRING | Yes | Multiple options available | The filename of the LTXV text encoder model to load. The available options are loaded from the `text_encoders` folder. | -| `ckpt_name` | STRING | Yes | Multiple options available | The filename of the checkpoint to load. The available options are loaded from the `checkpoints` folder. | -| `device` | STRING | No | `"default"`
`"cpu"` | Specifies the device to load the model onto. Use `"cpu"` to force loading onto the CPU. The default behavior (`"default"`) uses the system's automatic device placement. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `text_encoder` | The filename of the LTXV text encoder model to load. The available options are loaded from the `text_encoders` folder. | STRING | Yes | Multiple options available | +| `ckpt_name` | The filename of the checkpoint to load. The available options are loaded from the `checkpoints` folder. | STRING | Yes | Multiple options available | +| `device` | Specifies the device to load the model onto. Use `"cpu"` to force loading onto the CPU. The default behavior (`"default"`) uses the system's automatic device placement. | STRING | No | `"default"`
`"cpu"` | **Note:** The `text_encoder` and `ckpt_name` parameters work together. The node loads both specified files to create a single, functional CLIP model. The files must be compatible with the LTXV architecture. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `clip` | CLIP | The loaded LTXV CLIP model, ready to be used for encoding text prompts for audio generation. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `clip` | The loaded LTXV CLIP model, ready to be used for encoding text prompts for audio generation. | CLIP | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/en.md) --- **Source fingerprint (SHA-256):** `41d4c4ffef8bd1e55a44cc19e7c1c768484118458a7d4e100e5e22f5323c59dc` diff --git a/built-in-nodes/LTXVAddGuide.mdx b/built-in-nodes/LTXVAddGuide.mdx index da2066a52..f8df08404 100644 --- a/built-in-nodes/LTXVAddGuide.mdx +++ b/built-in-nodes/LTXVAddGuide.mdx @@ -5,23 +5,21 @@ sidebarTitle: "LTXVAddGuide" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAddGuide/en.md) - The LTXVAddGuide node adds video conditioning guidance to latent sequences by encoding input images or videos and incorporating them as keyframes into the conditioning data. It processes the input through a VAE encoder and strategically places the resulting latents at specified frame positions while updating both positive and negative conditioning with keyframe information. The node handles frame alignment constraints and allows control over the strength of the conditioning influence. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning input to be modified with keyframe guidance | -| `negative` | CONDITIONING | Yes | - | Negative conditioning input to be modified with keyframe guidance | -| `vae` | VAE | Yes | - | VAE model used for encoding the input image/video frames | -| `latent` | LATENT | Yes | - | Input latent sequence that will receive the conditioning frames | -| `image` | IMAGE | Yes | - | Image or video to condition the latent video on. Must be 8*n + 1 frames. If the video is not 8*n + 1 frames, it will be cropped to the nearest 8*n + 1 frames. | -| `frame_idx` | INT | No | -9999 to 9999 | Frame index to start the conditioning at. For single-frame images or videos with 1-8 frames, any frame_idx value is acceptable. For videos with 9+ frames, frame_idx must be divisible by 8, otherwise it will be rounded down to the nearest multiple of 8. Negative values are counted from the end of the video. (default: 0) | -| `strength` | FLOAT | No | 0.0 to 10.0 | Strength of the conditioning influence, where 1.0 applies full conditioning and 0.0 applies no conditioning (default: 1.0) | -| `attention_mask` | MASK | No | - | Optional pixel-space spatial mask. Controls per-region conditioning influence via self-attention, multiplied by strength. | -| `iclora_parameters` | IC_LORA_PARAMETERS | No | - | Optional IC-LoRA parameters from a Get IC-LoRA Parameters node. Used for adjusting guide processing as required by certain IC-LoRAs (e.g., those with a reference_downscale_factor > 1). When chained, each LTXVAddGuide uses only the parameters connected to it. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning input to be modified with keyframe guidance | CONDITIONING | Yes | - | +| `negative` | Negative conditioning input to be modified with keyframe guidance | CONDITIONING | Yes | - | +| `vae` | VAE model used for encoding the input image/video frames | VAE | Yes | - | +| `latent` | Input latent sequence that will receive the conditioning frames | LATENT | Yes | - | +| `image` | Image or video to condition the latent video on. Must be 8*n + 1 frames. If the video is not 8*n + 1 frames, it will be cropped to the nearest 8*n + 1 frames. | IMAGE | Yes | - | +| `frame_idx` | Frame index to start the conditioning at. For single-frame images or videos with 1-8 frames, any frame_idx value is acceptable. For videos with 9+ frames, frame_idx must be divisible by 8, otherwise it will be rounded down to the nearest multiple of 8. Negative values are counted from the end of the video. (default: 0) | INT | No | -9999 to 9999 | +| `strength` | Strength of the conditioning influence, where 1.0 applies full conditioning and 0.0 applies no conditioning (default: 1.0) | FLOAT | No | 0.0 to 10.0 | +| `attention_mask` | Optional pixel-space spatial mask. Controls per-region conditioning influence via self-attention, multiplied by strength. | MASK | No | - | +| `iclora_parameters` | Optional IC-LoRA parameters from a Get IC-LoRA Parameters node. Used for adjusting guide processing as required by certain IC-LoRAs (e.g., those with a reference_downscale_factor > 1). When chained, each LTXVAddGuide uses only the parameters connected to it. | IC_LORA_PARAMETERS | No | - | **Note:** The input image/video must have a frame count following the 8*n + 1 pattern (e.g., 1, 9, 17, 25 frames). If the input exceeds this pattern, it will be automatically cropped to the nearest valid frame count. @@ -29,11 +27,13 @@ The LTXVAddGuide node adds video conditioning guidance to latent sequences by en ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Positive conditioning updated with keyframe guidance information | -| `negative` | CONDITIONING | Negative conditioning updated with keyframe guidance information | -| `latent` | LATENT | Latent sequence with incorporated conditioning frames and updated noise mask | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Positive conditioning updated with keyframe guidance information | CONDITIONING | +| `negative` | Negative conditioning updated with keyframe guidance information | CONDITIONING | +| `latent` | Latent sequence with incorporated conditioning frames and updated noise mask | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAddGuide/en.md) --- **Source fingerprint (SHA-256):** `889348768112c6ecc3ef2e724981d3c49d96339b156617725816cf4186a94b7a` diff --git a/built-in-nodes/LTXVAudioVAEDecode.mdx b/built-in-nodes/LTXVAudioVAEDecode.mdx index f0124cbda..4c4164033 100644 --- a/built-in-nodes/LTXVAudioVAEDecode.mdx +++ b/built-in-nodes/LTXVAudioVAEDecode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "LTXVAudioVAEDecode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/en.md) - The LTXV Audio VAE Decode node converts a latent representation of audio back into an audio waveform. It uses a specialized Audio VAE model to perform this decoding process, producing an audio output with a specific sample rate. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | Yes | N/A | The latent to be decoded. | -| `audio_vae` | VAE | Yes | N/A | The Audio VAE model used for decoding the latent. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `samples` | The latent to be decoded. | LATENT | Yes | N/A | +| `audio_vae` | The Audio VAE model used for decoding the latent. | VAE | Yes | N/A | **Note:** If the provided latent is nested (contains multiple latents), the node will automatically use the last latent in the sequence for decoding. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `Audio` | AUDIO | The decoded audio waveform and its associated sample rate. The waveform is a tensor moved to the same device as the input latent, and the sample rate is determined by the Audio VAE model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `Audio` | The decoded audio waveform and its associated sample rate. The waveform is a tensor moved to the same device as the input latent, and the sample rate is determined by the Audio VAE model. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/en.md) --- **Source fingerprint (SHA-256):** `b410b535f8cfc07b2d5a7814d719970ca813172bbbb04bec22a0ce3be04dfa94` diff --git a/built-in-nodes/LTXVAudioVAEEncode.mdx b/built-in-nodes/LTXVAudioVAEEncode.mdx index 619406af1..6931a45b7 100644 --- a/built-in-nodes/LTXVAudioVAEEncode.mdx +++ b/built-in-nodes/LTXVAudioVAEEncode.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LTXVAudioVAEEncode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEEncode/en.md) - The LTXV Audio VAE Encode node takes an audio input and compresses it into a smaller, latent representation using a specified Audio VAE model. This process is essential for generating or manipulating audio within a latent space workflow, as it converts raw audio data into a format that other nodes in the pipeline can understand and process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | - | The audio to be encoded. | -| `audio_vae` | VAE | Yes | - | The Audio VAE model to use for encoding. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | The audio to be encoded. | AUDIO | Yes | - | +| `audio_vae` | The Audio VAE model to use for encoding. | VAE | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `Audio Latent` | LATENT | The compressed latent representation of the input audio. The output includes the latent samples, the sample rate of the VAE model, and a type identifier. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `Audio Latent` | The compressed latent representation of the input audio. The output includes the latent samples, the sample rate of the VAE model, and a type identifier. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEEncode/en.md) --- **Source fingerprint (SHA-256):** `0c17491e6d2910febe7dc5c1ecf988c3f160b1a08de70f8c0c4ab52defe897cd` diff --git a/built-in-nodes/LTXVAudioVAELoader.mdx b/built-in-nodes/LTXVAudioVAELoader.mdx index e5d123824..c9bf24e64 100644 --- a/built-in-nodes/LTXVAudioVAELoader.mdx +++ b/built-in-nodes/LTXVAudioVAELoader.mdx @@ -5,21 +5,21 @@ sidebarTitle: "LTXVAudioVAELoader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAELoader/en.md) - The LTXV Audio VAE Loader node loads a pre-trained Audio Variational Autoencoder (VAE) model from a checkpoint file. It reads the specified checkpoint, loads its weights and metadata, and prepares the model for use in audio generation or processing workflows within ComfyUI. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `ckpt_name` | STRING | Yes | All files in the `checkpoints` folder.
*Example: `"audio_vae.safetensors"`* | Audio VAE checkpoint to load. This is a dropdown list populated with all the files found in your ComfyUI `checkpoints` directory. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `ckpt_name` | Audio VAE checkpoint to load. This is a dropdown list populated with all the files found in your ComfyUI `checkpoints` directory. | STRING | Yes | All files in the `checkpoints` folder.
*Example: `"audio_vae.safetensors"`* | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `Audio VAE` | VAE | The loaded Audio Variational Autoencoder model, ready to be connected to other audio processing nodes. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `Audio VAE` | The loaded Audio Variational Autoencoder model, ready to be connected to other audio processing nodes. | VAE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAELoader/en.md) --- **Source fingerprint (SHA-256):** `bafe0ae9a6175565e95514d8a42cd11ffc32330503d87a097bc7fd2ef113c794` diff --git a/built-in-nodes/LTXVConcatAVLatent.mdx b/built-in-nodes/LTXVConcatAVLatent.mdx index d754149ba..93b5a6b91 100644 --- a/built-in-nodes/LTXVConcatAVLatent.mdx +++ b/built-in-nodes/LTXVConcatAVLatent.mdx @@ -5,24 +5,24 @@ sidebarTitle: "LTXVConcatAVLatent" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConcatAVLatent/en.md) - The LTXVConcatAVLatent node combines a video latent representation and an audio latent representation into a single, concatenated latent output. It merges the `samples` tensors from both inputs and, if present, their `noise_mask` tensors as well, preparing them for further processing in a video generation pipeline. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video_latent` | LATENT | Yes | | The latent representation of the video data. | -| `audio_latent` | LATENT | Yes | | The latent representation of the audio data. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video_latent` | The latent representation of the video data. | LATENT | Yes | | +| `audio_latent` | The latent representation of the audio data. | LATENT | Yes | | **Note:** The `samples` tensors from the `video_latent` and `audio_latent` inputs are concatenated. If either input contains a `noise_mask`, it will be used; if one is missing, a mask of ones (same shape as the corresponding `samples`) is created for it. The resulting masks are then also concatenated. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `latent` | LATENT | A single latent dictionary containing the concatenated `samples` and, if applicable, the concatenated `noise_mask` from the video and audio inputs. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `latent` | A single latent dictionary containing the concatenated `samples` and, if applicable, the concatenated `noise_mask` from the video and audio inputs. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConcatAVLatent/en.md) --- **Source fingerprint (SHA-256):** `ae619048b36d205d63e6054760c443f438b77d561e05458ce2d9d3f4a2024e74` diff --git a/built-in-nodes/LTXVConditioning.mdx b/built-in-nodes/LTXVConditioning.mdx index ba3cddd57..e34da8c55 100644 --- a/built-in-nodes/LTXVConditioning.mdx +++ b/built-in-nodes/LTXVConditioning.mdx @@ -5,24 +5,24 @@ sidebarTitle: "LTXVConditioning" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConditioning/en.md) - The LTXVConditioning node adds frame rate information to both positive and negative conditioning inputs for video generation models. It takes existing conditioning data and applies the specified frame rate value to both conditioning sets, making them suitable for video model processing. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The positive conditioning input that will receive the frame rate information | -| `negative` | CONDITIONING | Yes | - | The negative conditioning input that will receive the frame rate information | -| `frame_rate` | FLOAT | Yes | 0.0 - 1000.0 | The frame rate value to apply to both conditioning sets (default: 25.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning input that will receive the frame rate information | CONDITIONING | Yes | - | +| `negative` | The negative conditioning input that will receive the frame rate information | CONDITIONING | Yes | - | +| `frame_rate` | The frame rate value to apply to both conditioning sets (default: 25.0) | FLOAT | Yes | 0.0 - 1000.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The positive conditioning with frame rate information applied | -| `negative` | CONDITIONING | The negative conditioning with frame rate information applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The positive conditioning with frame rate information applied | CONDITIONING | +| `negative` | The negative conditioning with frame rate information applied | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConditioning/en.md) --- **Source fingerprint (SHA-256):** `8089df723caec60e89d309f004a8cd4bbe376e075bfa39bc881cf5a1bbe359c7` diff --git a/built-in-nodes/LTXVCropGuides.mdx b/built-in-nodes/LTXVCropGuides.mdx index 366fe3513..977c6238e 100644 --- a/built-in-nodes/LTXVCropGuides.mdx +++ b/built-in-nodes/LTXVCropGuides.mdx @@ -5,25 +5,25 @@ sidebarTitle: "LTXVCropGuides" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVCropGuides/en.md) - The LTXVCropGuides node processes conditioning and latent inputs for video generation by removing keyframe information and adjusting the latent dimensions. It crops the latent image and noise mask to exclude keyframe sections while clearing keyframe indices from both positive and negative conditioning inputs. This prepares the data for video generation workflows that don't require keyframe guidance. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The positive conditioning input containing guidance information for generation | -| `negative` | CONDITIONING | Yes | - | The negative conditioning input containing guidance information for what to avoid in generation | -| `latent` | LATENT | Yes | - | The latent representation containing image samples and noise mask data | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning input containing guidance information for generation | CONDITIONING | Yes | - | +| `negative` | The negative conditioning input containing guidance information for what to avoid in generation | CONDITIONING | Yes | - | +| `latent` | The latent representation containing image samples and noise mask data | LATENT | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The processed positive conditioning with keyframe indices and guide attention entries cleared | -| `negative` | CONDITIONING | The processed negative conditioning with keyframe indices and guide attention entries cleared | -| `latent` | LATENT | The cropped latent representation with adjusted samples and noise mask, where keyframe sections have been removed | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The processed positive conditioning with keyframe indices and guide attention entries cleared | CONDITIONING | +| `negative` | The processed negative conditioning with keyframe indices and guide attention entries cleared | CONDITIONING | +| `latent` | The cropped latent representation with adjusted samples and noise mask, where keyframe sections have been removed | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVCropGuides/en.md) --- **Source fingerprint (SHA-256):** `b5981a2e685c3590df2ced4b619d6d4596971255c8eb6081d63f917a9a938504` diff --git a/built-in-nodes/LTXVEmptyLatentAudio.mdx b/built-in-nodes/LTXVEmptyLatentAudio.mdx index dfa0db8a8..948155198 100644 --- a/built-in-nodes/LTXVEmptyLatentAudio.mdx +++ b/built-in-nodes/LTXVEmptyLatentAudio.mdx @@ -5,26 +5,26 @@ sidebarTitle: "LTXVEmptyLatentAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVEmptyLatentAudio/en.md) - The LTXV Empty Latent Audio node creates a batch of empty (zero-filled) latent audio tensors. It uses the configuration from a provided Audio VAE model to determine the correct dimensions for the latent space, such as the number of channels and frequency bins. This empty latent serves as a starting point for audio generation or manipulation workflows within ComfyUI. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `frames_number` | INT | Yes | 1 to 1000 | Number of frames. The default value is 97. | -| `frame_rate` | INT | Yes | 1 to 1000 | Number of frames per second. The default value is 25. | -| `batch_size` | INT | Yes | 1 to 4096 | The number of latent audio samples in the batch. The default value is 1. | -| `audio_vae` | VAE | Yes | N/A | The Audio VAE model to get configuration from. This parameter is required. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `frames_number` | Number of frames. The default value is 97. | INT | Yes | 1 to 1000 | +| `frame_rate` | Number of frames per second. The default value is 25. | INT | Yes | 1 to 1000 | +| `batch_size` | The number of latent audio samples in the batch. The default value is 1. | INT | Yes | 1 to 4096 | +| `audio_vae` | The Audio VAE model to get configuration from. This parameter is required. | VAE | Yes | N/A | **Note:** The `audio_vae` input is mandatory. The node will raise an error if it is not provided. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `Latent` | LATENT | An empty latent audio tensor with the structure (batch_size, z_channels, num_audio_latents, audio_freq) configured to match the input Audio VAE. The output also includes a `type` field set to "audio". | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `Latent` | An empty latent audio tensor with the structure (batch_size, z_channels, num_audio_latents, audio_freq) configured to match the input Audio VAE. The output also includes a `type` field set to "audio". | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVEmptyLatentAudio/en.md) --- **Source fingerprint (SHA-256):** `1b0ecbeb1388d952f5c5178cdc70bb06aad1640112a0851802c387594629f4bf` diff --git a/built-in-nodes/LTXVImgToVideo.mdx b/built-in-nodes/LTXVImgToVideo.mdx index 53408bac6..c56ae7a9f 100644 --- a/built-in-nodes/LTXVImgToVideo.mdx +++ b/built-in-nodes/LTXVImgToVideo.mdx @@ -5,31 +5,31 @@ sidebarTitle: "LTXVImgToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideo/en.md) - The LTXVImgToVideo node converts an input image into a video latent representation for video generation models. It takes a single image and extends it into a sequence of frames using the VAE encoder, then applies conditioning with strength control to determine how much of the original image content is preserved versus modified during video generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning prompts for guiding the video generation | -| `negative` | CONDITIONING | Yes | - | Negative conditioning prompts for avoiding certain elements in the video | -| `vae` | VAE | Yes | - | VAE model used for encoding the input image into latent space | -| `image` | IMAGE | Yes | - | Input image to be converted into video frames | -| `width` | INT | No | 64 to MAX_RESOLUTION | Output video width in pixels (default: 768, step: 32) | -| `height` | INT | No | 64 to MAX_RESOLUTION | Output video height in pixels (default: 512, step: 32) | -| `length` | INT | No | 9 to MAX_RESOLUTION | Number of frames in the generated video (default: 97, step: 8) | -| `batch_size` | INT | No | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | -| `strength` | FLOAT | No | 0.0 to 1.0 | Control over how much of the original image content is preserved in the first frame of the generated video. A value of 1.0 preserves the original image completely, while 0.0 allows maximum modification (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning prompts for guiding the video generation | CONDITIONING | Yes | - | +| `negative` | Negative conditioning prompts for avoiding certain elements in the video | CONDITIONING | Yes | - | +| `vae` | VAE model used for encoding the input image into latent space | VAE | Yes | - | +| `image` | Input image to be converted into video frames | IMAGE | Yes | - | +| `width` | Output video width in pixels (default: 768, step: 32) | INT | No | 64 to MAX_RESOLUTION | +| `height` | Output video height in pixels (default: 512, step: 32) | INT | No | 64 to MAX_RESOLUTION | +| `length` | Number of frames in the generated video (default: 97, step: 8) | INT | No | 9 to MAX_RESOLUTION | +| `batch_size` | Number of videos to generate simultaneously (default: 1) | INT | No | 1 to 4096 | +| `strength` | Control over how much of the original image content is preserved in the first frame of the generated video. A value of 1.0 preserves the original image completely, while 0.0 allows maximum modification (default: 1.0) | FLOAT | No | 0.0 to 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Processed positive conditioning with video frame masking applied | -| `negative` | CONDITIONING | Processed negative conditioning with video frame masking applied | -| `latent` | LATENT | Video latent representation containing the encoded frames and noise mask for video generation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Processed positive conditioning with video frame masking applied | CONDITIONING | +| `negative` | Processed negative conditioning with video frame masking applied | CONDITIONING | +| `latent` | Video latent representation containing the encoded frames and noise mask for video generation | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideo/en.md) --- **Source fingerprint (SHA-256):** `1f9d897d1f461270106bf44106acc90db422a04e6bce10ad3bca22127e96ffab` diff --git a/built-in-nodes/LTXVImgToVideoInplace.mdx b/built-in-nodes/LTXVImgToVideoInplace.mdx index 39b3e18f0..e9ec3a003 100644 --- a/built-in-nodes/LTXVImgToVideoInplace.mdx +++ b/built-in-nodes/LTXVImgToVideoInplace.mdx @@ -5,27 +5,27 @@ sidebarTitle: "LTXVImgToVideoInplace" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideoInplace/en.md) - The LTXVImgToVideoInplace node conditions a video latent representation by encoding an input image into its initial frames. It works by using a VAE to encode the image into the latent space and then blending it with the existing latent samples based on a specified strength. This allows an image to serve as a starting point or conditioning signal for video generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `vae` | VAE | Yes | - | The VAE model used to encode the input image into the latent space. | -| `image` | IMAGE | Yes | - | The input image to be encoded and used to condition the video latent. | -| `latent` | LATENT | Yes | - | The target latent video representation to be modified. | -| `strength` | FLOAT | No | 0.0 - 1.0 | Controls the blending strength of the encoded image into the latent. A value of 1.0 fully replaces the initial frames, while lower values blend them. (default: 1.0) | -| `bypass` | BOOLEAN | No | - | Bypass the conditioning. When enabled, the node returns the input latent unchanged. (default: False) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `vae` | The VAE model used to encode the input image into the latent space. | VAE | Yes | - | +| `image` | The input image to be encoded and used to condition the video latent. | IMAGE | Yes | - | +| `latent` | The target latent video representation to be modified. | LATENT | Yes | - | +| `strength` | Controls the blending strength of the encoded image into the latent. A value of 1.0 fully replaces the initial frames, while lower values blend them. (default: 1.0) | FLOAT | No | 0.0 - 1.0 | +| `bypass` | Bypass the conditioning. When enabled, the node returns the input latent unchanged. (default: False) | BOOLEAN | No | - | **Note:** The `image` will be automatically resized to match the spatial dimensions required by the `vae` for encoding, based on the `latent` input's width and height. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `latent` | LATENT | The modified latent video representation. It contains the updated samples and a `noise_mask` that applies the conditioning strength to the initial frames. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `latent` | The modified latent video representation. It contains the updated samples and a `noise_mask` that applies the conditioning strength to the initial frames. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideoInplace/en.md) --- **Source fingerprint (SHA-256):** `5824199a55eb455f28399447d6834ede2cc5c33d1be09e550631bbfeef77d785` diff --git a/built-in-nodes/LTXVLatentUpsampler.mdx b/built-in-nodes/LTXVLatentUpsampler.mdx index 6cc3df02b..aa5a820d8 100644 --- a/built-in-nodes/LTXVLatentUpsampler.mdx +++ b/built-in-nodes/LTXVLatentUpsampler.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LTXVLatentUpsampler" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVLatentUpsampler/en.md) - The LTXVLatentUpsampler node increases the spatial resolution of a video latent representation by a factor of two. It uses a specialized upscale model to process the latent data, which is first un-normalized and then re-normalized using the provided VAE's channel statistics. This node is designed for video workflows within the latent space. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | Yes | | The input latent representation of the video to be upscaled. | -| `upscale_model` | LATENT_UPSCALE_MODEL | Yes | | The loaded model used to perform the 2x upscaling on the latent data. | -| `vae` | VAE | Yes | | The VAE model used to un-normalize the input latents before upscaling and to normalize the output latents afterwards. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `samples` | The input latent representation of the video to be upscaled. | LATENT | Yes | | +| `upscale_model` | The loaded model used to perform the 2x upscaling on the latent data. | LATENT_UPSCALE_MODEL | Yes | | +| `vae` | The VAE model used to un-normalize the input latents before upscaling and to normalize the output latents afterwards. | VAE | Yes | | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `LATENT` | LATENT | The upscaled latent representation, with spatial dimensions doubled compared to the input. The output latent has the same batch size, number of channels, and temporal length as the input. The `noise_mask` from the input, if present, is removed from the output. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `LATENT` | The upscaled latent representation, with spatial dimensions doubled compared to the input. The output latent has the same batch size, number of channels, and temporal length as the input. The `noise_mask` from the input, if present, is removed from the output. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVLatentUpsampler/en.md) --- **Source fingerprint (SHA-256):** `b2c726d3a3e4881eee7e1d3bae8c478adf01cd87a9652be882579f4e26c1536f` diff --git a/built-in-nodes/LTXVPreprocess.mdx b/built-in-nodes/LTXVPreprocess.mdx index 95f2ebdd6..6bd657331 100644 --- a/built-in-nodes/LTXVPreprocess.mdx +++ b/built-in-nodes/LTXVPreprocess.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LTXVPreprocess" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVPreprocess/en.md) - The LTXVPreprocess node applies video compression preprocessing to images. It simulates the quality loss of video compression by encoding an image as a single-frame MP4 video and then decoding it back, allowing you to control the compression level. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be processed | -| `img_compression` | INT | No | 0-100 | Amount of compression to apply on image. A value of 0 disables compression entirely (default: 35) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be processed | IMAGE | Yes | - | +| `img_compression` | Amount of compression to apply on image. A value of 0 disables compression entirely (default: 35) | INT | No | 0-100 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output_image` | IMAGE | The processed output image with applied compression artifacts | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output_image` | The processed output image with applied compression artifacts | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVPreprocess/en.md) --- **Source fingerprint (SHA-256):** `4381837f2778948e6d8b710cf1857ce9e579b3cc630223d97266162b9799342b` diff --git a/built-in-nodes/LTXVReferenceAudio.mdx b/built-in-nodes/LTXVReferenceAudio.mdx index 9f99efc8b..0b8bb8557 100644 --- a/built-in-nodes/LTXVReferenceAudio.mdx +++ b/built-in-nodes/LTXVReferenceAudio.mdx @@ -5,30 +5,30 @@ sidebarTitle: "LTXVReferenceAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVReferenceAudio/en.md) - The LTXV Reference Audio node is used for speaker identity transfer in audio generation. It encodes a reference audio clip into the conditioning for a model, allowing the generated audio to adopt the speaker's voice characteristics. It can also apply identity guidance, which runs an extra processing step to amplify the speaker identity effect. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to be patched with identity guidance. | -| `positive` | CONDITIONING | Yes | - | The positive conditioning input. | -| `negative` | CONDITIONING | Yes | - | The negative conditioning input. | -| `reference_audio` | AUDIO | Yes | - | Reference audio clip whose speaker identity to transfer. ~5 seconds recommended (training duration). Shorter or longer clips may degrade voice identity transfer. | -| `audio_vae` | VAE | Yes | - | LTXV Audio VAE for encoding the reference audio. | -| `identity_guidance_scale` | FLOAT | No | 0.0 - 100.0 | Strength of identity guidance. Runs an extra forward pass without reference each step to amplify speaker identity. Set to 0 to disable (no extra pass). (default: 3.0) | -| `start_percent` | FLOAT | No | 0.0 - 1.0 | Start of the sigma range where identity guidance is active. (default: 0.0) | -| `end_percent` | FLOAT | No | 0.0 - 1.0 | End of the sigma range where identity guidance is active. (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to be patched with identity guidance. | MODEL | Yes | - | +| `positive` | The positive conditioning input. | CONDITIONING | Yes | - | +| `negative` | The negative conditioning input. | CONDITIONING | Yes | - | +| `reference_audio` | Reference audio clip whose speaker identity to transfer. ~5 seconds recommended (training duration). Shorter or longer clips may degrade voice identity transfer. | AUDIO | Yes | - | +| `audio_vae` | LTXV Audio VAE for encoding the reference audio. | VAE | Yes | - | +| `identity_guidance_scale` | Strength of identity guidance. Runs an extra forward pass without reference each step to amplify speaker identity. Set to 0 to disable (no extra pass). (default: 3.0) | FLOAT | No | 0.0 - 100.0 | +| `start_percent` | Start of the sigma range where identity guidance is active. (default: 0.0) | FLOAT | No | 0.0 - 1.0 | +| `end_percent` | End of the sigma range where identity guidance is active. (default: 1.0) | FLOAT | No | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The model patched with the identity guidance function. | -| `positive` | CONDITIONING | The positive conditioning, now containing the encoded reference audio data. | -| `negative` | CONDITIONING | The negative conditioning, now containing the encoded reference audio data. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The model patched with the identity guidance function. | MODEL | +| `positive` | The positive conditioning, now containing the encoded reference audio data. | CONDITIONING | +| `negative` | The negative conditioning, now containing the encoded reference audio data. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVReferenceAudio/en.md) --- **Source fingerprint (SHA-256):** `a25e24a08df73b8a34fd476544634e396a0eec5b6dc630e911c371f1b16931b8` diff --git a/built-in-nodes/LTXVScheduler.mdx b/built-in-nodes/LTXVScheduler.mdx index 5361d93a7..6f038b161 100644 --- a/built-in-nodes/LTXVScheduler.mdx +++ b/built-in-nodes/LTXVScheduler.mdx @@ -5,28 +5,28 @@ sidebarTitle: "LTXVScheduler" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVScheduler/en.md) - The LTXVScheduler node generates sigma values for custom sampling processes. It calculates noise schedule parameters based on the number of tokens in the input latent and applies a sigmoid transformation to create the sampling schedule. The node can optionally stretch the resulting sigmas to match a specified terminal value. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `steps` | INT | Yes | 1-10000 | Number of sampling steps (default: 20) | -| `max_shift` | FLOAT | Yes | 0.0-100.0 | Maximum shift value for sigma calculation (default: 2.05) | -| `base_shift` | FLOAT | Yes | 0.0-100.0 | Base shift value for sigma calculation (default: 0.95) | -| `stretch` | BOOLEAN | Yes | True/False | Stretch the sigmas to be in the range [terminal, 1] (default: True) | -| `terminal` | FLOAT | Yes | 0.0-0.99 | The terminal value of the sigmas after stretching (default: 0.1) | -| `latent` | LATENT | No | - | Optional latent input used to calculate token count for sigma adjustment | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `steps` | Number of sampling steps (default: 20) | INT | Yes | 1-10000 | +| `max_shift` | Maximum shift value for sigma calculation (default: 2.05) | FLOAT | Yes | 0.0-100.0 | +| `base_shift` | Base shift value for sigma calculation (default: 0.95) | FLOAT | Yes | 0.0-100.0 | +| `stretch` | Stretch the sigmas to be in the range [terminal, 1] (default: True) | BOOLEAN | Yes | True/False | +| `terminal` | The terminal value of the sigmas after stretching (default: 0.1) | FLOAT | Yes | 0.0-0.99 | +| `latent` | Optional latent input used to calculate token count for sigma adjustment | LATENT | No | - | **Note:** The `latent` parameter is optional. When not provided, the node uses a default token count of 4096 for calculations. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | Generated sigma values for the sampling process | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sigmas` | Generated sigma values for the sampling process | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVScheduler/en.md) --- **Source fingerprint (SHA-256):** `63a827c5a5e54370eab4cd259c00ccc3d2bada6e61988011cbd1e779233604bb` diff --git a/built-in-nodes/LTXVSeparateAVLatent.mdx b/built-in-nodes/LTXVSeparateAVLatent.mdx index 55bf66c85..29eb0ff20 100644 --- a/built-in-nodes/LTXVSeparateAVLatent.mdx +++ b/built-in-nodes/LTXVSeparateAVLatent.mdx @@ -5,24 +5,24 @@ sidebarTitle: "LTXVSeparateAVLatent" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVSeparateAVLatent/en.md) - The LTXVSeparateAVLatent node takes a combined audio-visual latent representation and splits it into two distinct parts: one for video and one for audio. It separates the samples and, if present, the noise masks from the input latent, creating two new latent objects. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `av_latent` | LATENT | Yes | N/A | The combined audio-visual latent representation to be separated. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `av_latent` | The combined audio-visual latent representation to be separated. | LATENT | Yes | N/A | **Note:** The input latent's `samples` tensor is expected to have at least two elements along the first dimension (batch dimension). The first element is used for the video latent, and the second element is used for the audio latent. If a `noise_mask` is present, it is split in the same way. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video_latent` | LATENT | The latent representation containing the separated video data. | -| `audio_latent` | LATENT | The latent representation containing the separated audio data. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video_latent` | The latent representation containing the separated video data. | LATENT | +| `audio_latent` | The latent representation containing the separated audio data. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVSeparateAVLatent/en.md) --- **Source fingerprint (SHA-256):** `8e871b6163af27826c197c678214bac7a02c2a5b24279385ba34632c7116356c` diff --git a/built-in-nodes/LaplaceScheduler.mdx b/built-in-nodes/LaplaceScheduler.mdx index ee39b64d3..f6a814250 100644 --- a/built-in-nodes/LaplaceScheduler.mdx +++ b/built-in-nodes/LaplaceScheduler.mdx @@ -5,25 +5,25 @@ sidebarTitle: "LaplaceScheduler" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LaplaceScheduler/en.md) - The LaplaceScheduler node generates a sequence of sigma values following a Laplace distribution for use in diffusion sampling. It creates a schedule of noise levels that gradually decrease from a maximum to minimum value, using Laplace distribution parameters to control the progression. This scheduler is commonly used in custom sampling workflows to define the noise schedule for diffusion models. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `steps` | INT | Yes | 1 to 10000 | Number of sampling steps in the schedule (default: 20) | -| `sigma_max` | FLOAT | Yes | 0.0 to 5000.0 | Maximum sigma value at the start of the schedule (default: 14.614642) | -| `sigma_min` | FLOAT | Yes | 0.0 to 5000.0 | Minimum sigma value at the end of the schedule (default: 0.0291675) | -| `mu` | FLOAT | Yes | -10.0 to 10.0 | Mean parameter for the Laplace distribution (default: 0.0) | -| `beta` | FLOAT | Yes | 0.0 to 10.0 | Scale parameter for the Laplace distribution (default: 0.5) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `steps` | Number of sampling steps in the schedule (default: 20) | INT | Yes | 1 to 10000 | +| `sigma_max` | Maximum sigma value at the start of the schedule (default: 14.614642) | FLOAT | Yes | 0.0 to 5000.0 | +| `sigma_min` | Minimum sigma value at the end of the schedule (default: 0.0291675) | FLOAT | Yes | 0.0 to 5000.0 | +| `mu` | Mean parameter for the Laplace distribution (default: 0.0) | FLOAT | Yes | -10.0 to 10.0 | +| `beta` | Scale parameter for the Laplace distribution (default: 0.5) | FLOAT | Yes | 0.0 to 10.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `SIGMAS` | SIGMAS | A sequence of sigma values following a Laplace distribution schedule | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `SIGMAS` | A sequence of sigma values following a Laplace distribution schedule | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LaplaceScheduler/en.md) --- **Source fingerprint (SHA-256):** `fe8a405937a4b59ab988031b8509a9f030a57d8d1a17bb0812dc51eb5ad83717` diff --git a/built-in-nodes/LatentAdd.mdx b/built-in-nodes/LatentAdd.mdx index 5df0acbda..9d46d92c5 100644 --- a/built-in-nodes/LatentAdd.mdx +++ b/built-in-nodes/LatentAdd.mdx @@ -9,13 +9,15 @@ The LatentAdd node is designed for the addition of two latent representations. I ## Inputs -| Parameter | Data Type | Description | -|--------------|-------------|-------------| -| `samples1` | `LATENT` | The first set of latent samples to be added. It represents one of the inputs whose features are to be combined with another set of latent samples. | -| `samples2` | `LATENT` | The second set of latent samples to be added. It serves as the other input whose features are combined with the first set of latent samples through element-wise addition. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples1` | The first set of latent samples to be added. It represents one of the inputs whose features are to be combined with another set of latent samples. | `LATENT` | +| `samples2` | The second set of latent samples to be added. It serves as the other input whose features are combined with the first set of latent samples through element-wise addition. | `LATENT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The result of the element-wise addition of two latent samples, representing a new set of latent samples that combines the features of both inputs. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The result of the element-wise addition of two latent samples, representing a new set of latent samples that combines the features of both inputs. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentAdd/en.md) diff --git a/built-in-nodes/LatentApplyOperation.mdx b/built-in-nodes/LatentApplyOperation.mdx index 9b6b76eea..9493cc2cb 100644 --- a/built-in-nodes/LatentApplyOperation.mdx +++ b/built-in-nodes/LatentApplyOperation.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LatentApplyOperation" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperation/en.md) - The LatentApplyOperation node applies a specified operation to latent samples. It takes latent data and an operation as inputs, processes the latent samples using the provided operation, and returns the modified latent data. This node allows you to transform or manipulate latent representations in your workflow. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | Yes | - | The latent samples to be processed by the operation | -| `operation` | LATENT_OPERATION | Yes | - | The operation to apply to the latent samples | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `samples` | The latent samples to be processed by the operation | LATENT | Yes | - | +| `operation` | The operation to apply to the latent samples | LATENT_OPERATION | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | LATENT | The modified latent samples after applying the operation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The modified latent samples after applying the operation | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperation/en.md) --- **Source fingerprint (SHA-256):** `e91307b6426c5220b4eab574d1efd0dd5ff26886b3baf8de9f7b6d9a123920e4` diff --git a/built-in-nodes/LatentApplyOperationCFG.mdx b/built-in-nodes/LatentApplyOperationCFG.mdx index 72e0b565e..03f629b36 100644 --- a/built-in-nodes/LatentApplyOperationCFG.mdx +++ b/built-in-nodes/LatentApplyOperationCFG.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LatentApplyOperationCFG" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperationCFG/en.md) - The LatentApplyOperationCFG node applies a latent operation to modify the conditioning guidance process in a model. It works by intercepting the conditioning outputs during the classifier-free guidance (CFG) sampling process and applying the specified operation to the latent representations before they are used for generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to which the CFG operation will be applied | -| `operation` | LATENT_OPERATION | Yes | - | The latent operation to apply during the CFG sampling process | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to which the CFG operation will be applied | MODEL | Yes | - | +| `operation` | The latent operation to apply during the CFG sampling process | LATENT_OPERATION | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with the CFG operation applied to its sampling process | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with the CFG operation applied to its sampling process | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperationCFG/en.md) --- **Source fingerprint (SHA-256):** `0dd2cdc0561938866f12e11ae44d41fc34d16453ab49e686ba751118d2233c54` diff --git a/built-in-nodes/LatentBatch.mdx b/built-in-nodes/LatentBatch.mdx index e9a7ca3f1..e3fcccd96 100644 --- a/built-in-nodes/LatentBatch.mdx +++ b/built-in-nodes/LatentBatch.mdx @@ -9,13 +9,15 @@ The LatentBatch node is designed to merge two sets of latent samples into a sing ## Inputs -| Parameter | Data Type | Description | -|--------------|-------------|-------------| -| `samples1` | `LATENT` | The first set of latent samples to be merged. It plays a crucial role in determining the final shape of the merged batch. | -| `samples2` | `LATENT` | The second set of latent samples to be merged. If its dimensions differ from the first set, it is resized to ensure compatibility before merging. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples1` | The first set of latent samples to be merged. It plays a crucial role in determining the final shape of the merged batch. | `LATENT` | +| `samples2` | The second set of latent samples to be merged. If its dimensions differ from the first set, it is resized to ensure compatibility before merging. | `LATENT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The merged set of latent samples, now combined into a single batch for further processing. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The merged set of latent samples, now combined into a single batch for further processing. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBatch/en.md) diff --git a/built-in-nodes/LatentBatchSeedBehavior.mdx b/built-in-nodes/LatentBatchSeedBehavior.mdx index d57851ddc..67dca98cb 100644 --- a/built-in-nodes/LatentBatchSeedBehavior.mdx +++ b/built-in-nodes/LatentBatchSeedBehavior.mdx @@ -9,13 +9,15 @@ The LatentBatchSeedBehavior node is designed to modify the seed behavior of a ba ## Inputs -| Parameter | Data Type | Description | -|-----------------|--------------|-------------| -| `samples` | `LATENT` | The 'samples' parameter represents the batch of latent samples to be processed. Its modification depends on the seed behavior chosen, affecting the consistency or variability of the generated outputs. | -| `seed_behavior` | COMBO[STRING] | The 'seed_behavior' parameter dictates whether the seed for the batch of latent samples should be randomized or fixed. This choice significantly impacts the generation process by either introducing variability or ensuring consistency across the batch. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples` | The 'samples' parameter represents the batch of latent samples to be processed. Its modification depends on the seed behavior chosen, affecting the consistency or variability of the generated outputs. | `LATENT` | +| `seed_behavior` | The 'seed_behavior' parameter dictates whether the seed for the batch of latent samples should be randomized or fixed. This choice significantly impacts the generation process by either introducing variability or ensuring consistency across the batch. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The output is a modified version of the input latent samples, with adjustments made based on the specified seed behavior. It either maintains or alters the batch index to reflect the chosen seed behavior. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The output is a modified version of the input latent samples, with adjustments made based on the specified seed behavior. It either maintains or alters the batch index to reflect the chosen seed behavior. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBatchSeedBehavior/en.md) diff --git a/built-in-nodes/LatentBlend.mdx b/built-in-nodes/LatentBlend.mdx index 77d5f02f5..26aa4931e 100644 --- a/built-in-nodes/LatentBlend.mdx +++ b/built-in-nodes/LatentBlend.mdx @@ -5,25 +5,25 @@ sidebarTitle: "LatentBlend" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBlend/en.md) - The LatentBlend node combines two latent samples by blending them together using a specified blend factor. It takes two latent inputs and creates a new output where the first sample is weighted by the blend factor and the second sample is weighted by the inverse. If the input samples have different shapes, the second sample is automatically resized to match the first sample's dimensions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `samples1` | LATENT | Yes | - | The first latent sample to blend | -| `samples2` | LATENT | Yes | - | The second latent sample to blend | -| `blend_factor` | FLOAT | Yes | 0 to 1 | Controls the blending ratio between the two samples (default: 0.5) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `samples1` | The first latent sample to blend | LATENT | Yes | - | +| `samples2` | The second latent sample to blend | LATENT | Yes | - | +| `blend_factor` | Controls the blending ratio between the two samples (default: 0.5) | FLOAT | Yes | 0 to 1 | **Note:** If `samples1` and `samples2` have different shapes, `samples2` will be automatically resized to match the dimensions of `samples1` using bicubic interpolation with center cropping. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `latent` | LATENT | The blended latent sample combining both input samples | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `latent` | The blended latent sample combining both input samples | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBlend/en.md) --- **Source fingerprint (SHA-256):** `a19808c5b606a8c05f2685fcd78d9f08c1ba51613a4029b36cf0ce5305618c2f` diff --git a/built-in-nodes/LatentComposite.mdx b/built-in-nodes/LatentComposite.mdx index 5c03aeda6..37a251fe9 100644 --- a/built-in-nodes/LatentComposite.mdx +++ b/built-in-nodes/LatentComposite.mdx @@ -9,16 +9,18 @@ The LatentComposite node is designed to blend or merge two latent representation ## Inputs -| Parameter | Data Type | Description | -|--------------|-------------|-------------| -| `samples_to` | `LATENT` | The 'samples_to' latent representation where the 'samples_from' will be composited onto. It serves as the base for the composite operation. | -| `samples_from` | `LATENT` | The 'samples_from' latent representation to be composited onto the 'samples_to'. It contributes its features or characteristics to the final composite output. | -| `x` | `INT` | The x-coordinate (horizontal position) where the 'samples_from' latent will be placed on the 'samples_to'. It determines the horizontal alignment of the composite. | -| `y` | `INT` | The y-coordinate (vertical position) where the 'samples_from' latent will be placed on the 'samples_to'. It determines the vertical alignment of the composite. | -| `feather` | `INT` | A boolean indicating whether the 'samples_from' latent should be resized to match the 'samples_to' before compositing. This can affect the scale and proportion of the composite result. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples_to` | The 'samples_to' latent representation where the 'samples_from' will be composited onto. It serves as the base for the composite operation. | `LATENT` | +| `samples_from` | The 'samples_from' latent representation to be composited onto the 'samples_to'. It contributes its features or characteristics to the final composite output. | `LATENT` | +| `x` | The x-coordinate (horizontal position) where the 'samples_from' latent will be placed on the 'samples_to'. It determines the horizontal alignment of the composite. | `INT` | +| `y` | The y-coordinate (vertical position) where the 'samples_from' latent will be placed on the 'samples_to'. It determines the vertical alignment of the composite. | `INT` | +| `feather` | A boolean indicating whether the 'samples_from' latent should be resized to match the 'samples_to' before compositing. This can affect the scale and proportion of the composite result. | `INT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The output is a composite latent representation, blending the features of both 'samples_to' and 'samples_from' latents based on the specified coordinates and resizing option. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The output is a composite latent representation, blending the features of both 'samples_to' and 'samples_from' latents based on the specified coordinates and resizing option. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentComposite/en.md) diff --git a/built-in-nodes/LatentCompositeMasked.mdx b/built-in-nodes/LatentCompositeMasked.mdx index 4e47c7d0e..6c04b95d7 100644 --- a/built-in-nodes/LatentCompositeMasked.mdx +++ b/built-in-nodes/LatentCompositeMasked.mdx @@ -5,22 +5,23 @@ sidebarTitle: "LatentCompositeMasked" icon: "circle" mode: wide --- - The LatentCompositeMasked node is designed for blending two latent representations together at specified coordinates, optionally using a mask for more controlled compositing. This node enables the creation of complex latent images by overlaying parts of one image onto another, with the ability to resize the source image for a perfect fit. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `destination` | `LATENT` | The latent representation onto which another latent representation will be composited. Acts as the base layer for the composite operation. | -| `source` | `LATENT` | The latent representation to be composited onto the destination. This source layer can be resized and positioned according to the specified parameters. | -| `x` | `INT` | The x-coordinate in the destination latent representation where the source will be placed. Allows for precise positioning of the source layer. | -| `y` | `INT` | The y-coordinate in the destination latent representation where the source will be placed, enabling accurate overlay positioning. | -| `resize_source` | `BOOLEAN` | A boolean flag indicating whether the source latent representation should be resized to match the destination's dimensions before compositing. | -| `mask` | `MASK` | An optional mask that can be used to control the blending of the source onto the destination. The mask defines which parts of the source will be visible in the final composite. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `destination` | The latent representation onto which another latent representation will be composited. Acts as the base layer for the composite operation. | `LATENT` | +| `source` | The latent representation to be composited onto the destination. This source layer can be resized and positioned according to the specified parameters. | `LATENT` | +| `x` | The x-coordinate in the destination latent representation where the source will be placed. Allows for precise positioning of the source layer. | `INT` | +| `y` | The y-coordinate in the destination latent representation where the source will be placed, enabling accurate overlay positioning. | `INT` | +| `resize_source` | A boolean flag indicating whether the source latent representation should be resized to match the destination's dimensions before compositing. | `BOOLEAN` | +| `mask` | An optional mask that can be used to control the blending of the source onto the destination. The mask defines which parts of the source will be visible in the final composite. | `MASK` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The resulting latent representation after compositing the source onto the destination, potentially using a mask for selective blending. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The resulting latent representation after compositing the source onto the destination, potentially using a mask for selective blending. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCompositeMasked/en.md) diff --git a/built-in-nodes/LatentConcat.mdx b/built-in-nodes/LatentConcat.mdx index a648cf87c..9d91bdb6d 100644 --- a/built-in-nodes/LatentConcat.mdx +++ b/built-in-nodes/LatentConcat.mdx @@ -5,25 +5,25 @@ sidebarTitle: "LatentConcat" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentConcat/en.md) - The LatentConcat node combines two latent samples by joining them together along a chosen dimension. It takes two latent inputs and concatenates them along the x, y, or t axis, with the option to control which sample comes first. The node automatically adjusts the batch size of the second input to match the first before performing the concatenation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `samples1` | LATENT | Yes | - | The first latent sample to concatenate | -| `samples2` | LATENT | Yes | - | The second latent sample to concatenate | -| `dim` | COMBO | Yes | `"x"`
`"-x"`
`"y"`
`"-y"`
`"t"`
`"-t"` | The dimension along which to concatenate the latent samples. Positive values (x, y, t) place samples1 before samples2 in the result. Negative values (-x, -y, -t) place samples2 before samples1. The dimension mapping is: x = width, y = height, t = time/frames | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `samples1` | The first latent sample to concatenate | LATENT | Yes | - | +| `samples2` | The second latent sample to concatenate | LATENT | Yes | - | +| `dim` | The dimension along which to concatenate the latent samples. Positive values (x, y, t) place samples1 before samples2 in the result. Negative values (-x, -y, -t) place samples2 before samples1. The dimension mapping is: x = width, y = height, t = time/frames | COMBO | Yes | `"x"`
`"-x"`
`"y"`
`"-y"`
`"t"`
`"-t"` | **Note:** The second latent sample (`samples2`) is automatically adjusted to match the batch size of the first latent sample (`samples1`) before concatenation. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | LATENT | The concatenated latent samples resulting from combining the two input samples along the specified dimension | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The concatenated latent samples resulting from combining the two input samples along the specified dimension | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentConcat/en.md) --- **Source fingerprint (SHA-256):** `82cc2d659cd7c3d35ad20eee6fc63a7574e7367397618c0bdf3e82924372dff7` diff --git a/built-in-nodes/LatentCrop.mdx b/built-in-nodes/LatentCrop.mdx index ea4f291a9..443ec468e 100644 --- a/built-in-nodes/LatentCrop.mdx +++ b/built-in-nodes/LatentCrop.mdx @@ -5,21 +5,22 @@ sidebarTitle: "LatentCrop" icon: "circle" mode: wide --- - The LatentCrop node is designed to perform cropping operations on latent representations of images. It allows for the specification of the crop dimensions and position, enabling targeted modifications of the latent space. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `samples` | `LATENT` | The 'samples' parameter represents the latent representations to be cropped. It is crucial for defining the data on which the cropping operation will be performed. | -| `width` | `INT` | Specifies the width of the crop area. It directly influences the dimensions of the output latent representation. | -| `height` | `INT` | Specifies the height of the crop area, affecting the size of the resulting cropped latent representation. | -| `x` | `INT` | Determines the starting x-coordinate of the crop area, influencing the position of the crop within the original latent representation. | -| `y` | `INT` | Determines the starting y-coordinate of the crop area, setting the position of the crop within the original latent representation. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples` | The 'samples' parameter represents the latent representations to be cropped. It is crucial for defining the data on which the cropping operation will be performed. | `LATENT` | +| `width` | Specifies the width of the crop area. It directly influences the dimensions of the output latent representation. | `INT` | +| `height` | Specifies the height of the crop area, affecting the size of the resulting cropped latent representation. | `INT` | +| `x` | Determines the starting x-coordinate of the crop area, influencing the position of the crop within the original latent representation. | `INT` | +| `y` | Determines the starting y-coordinate of the crop area, setting the position of the crop within the original latent representation. | `INT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The output is a modified latent representation with the specified crop applied. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The output is a modified latent representation with the specified crop applied. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCrop/en.md) diff --git a/built-in-nodes/LatentCut.mdx b/built-in-nodes/LatentCut.mdx index 4f9eb14aa..10b26dfcc 100644 --- a/built-in-nodes/LatentCut.mdx +++ b/built-in-nodes/LatentCut.mdx @@ -5,24 +5,24 @@ sidebarTitle: "LatentCut" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCut/en.md) - The LatentCut node extracts a specific section from latent samples along a chosen dimension. It allows you to cut out a portion of the latent representation by specifying the dimension (x, y, or t), starting position, and amount to extract. The node handles both positive and negative indexing and automatically adjusts the extraction amount to stay within the available bounds. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | Yes | - | The input latent samples to extract from | -| `dim` | COMBO | Yes | "x"
"y"
"t" | The dimension along which to cut the latent samples | -| `index` | INT | Yes | -16384 to 16384 | The starting position for the cut (default: 0). Positive values count from the start, negative values count from the end. The node automatically clamps the index to stay within the valid range of the latent samples | -| `amount` | INT | Yes | 1 to 16384 | The number of elements to extract along the specified dimension (default: 1). The node automatically reduces this value if it would exceed the available data beyond the starting index | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `samples` | The input latent samples to extract from | LATENT | Yes | - | +| `dim` | The dimension along which to cut the latent samples | COMBO | Yes | "x"
"y"
"t" | +| `index` | The starting position for the cut (default: 0). Positive values count from the start, negative values count from the end. The node automatically clamps the index to stay within the valid range of the latent samples | INT | Yes | -16384 to 16384 | +| `amount` | The number of elements to extract along the specified dimension (default: 1). The node automatically reduces this value if it would exceed the available data beyond the starting index | INT | Yes | 1 to 16384 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | LATENT | The extracted portion of the latent samples | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The extracted portion of the latent samples | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCut/en.md) --- **Source fingerprint (SHA-256):** `c05ce7a33d9416bdd8dabeed2c61fbc6102fc9e797d727aefaadb00f375287a9` diff --git a/built-in-nodes/LatentCutToBatch.mdx b/built-in-nodes/LatentCutToBatch.mdx index 448260e6d..e15848315 100644 --- a/built-in-nodes/LatentCutToBatch.mdx +++ b/built-in-nodes/LatentCutToBatch.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LatentCutToBatch" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/en.md) - The LatentCutToBatch node splits a latent representation along a chosen dimension into multiple slices and stacks them into a new batch. This allows you to process different parts of a latent sample independently. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | Yes | - | The latent representation to be split and batched. | -| `dim` | COMBO | Yes | `"t"`
`"x"`
`"y"` | The dimension along which to cut the latent samples. `"t"` refers to the temporal dimension, `"x"` to the width, and `"y"` to the height. | -| `slice_size` | INT | Yes | 1 to 16384 (max resolution) | The size of each slice to cut from the specified dimension. If the dimension's size is not perfectly divisible by this value, the remainder is discarded. (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `samples` | The latent representation to be split and batched. | LATENT | Yes | - | +| `dim` | The dimension along which to cut the latent samples. `"t"` refers to the temporal dimension, `"x"` to the width, and `"y"` to the height. | COMBO | Yes | `"t"`
`"x"`
`"y"` | +| `slice_size` | The size of each slice to cut from the specified dimension. If the dimension's size is not perfectly divisible by this value, the remainder is discarded. (default: 1) | INT | Yes | 1 to 16384 (max resolution) | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `samples` | LATENT | The resulting latent batch, containing the sliced and stacked samples. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `samples` | The resulting latent batch, containing the sliced and stacked samples. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/en.md) --- **Source fingerprint (SHA-256):** `565fd1e72a1353050cf8c32c6ab8dade475afb2e8ee13ba323d30a8467204201` diff --git a/built-in-nodes/LatentFlip.mdx b/built-in-nodes/LatentFlip.mdx index ee078207d..430e46194 100644 --- a/built-in-nodes/LatentFlip.mdx +++ b/built-in-nodes/LatentFlip.mdx @@ -5,18 +5,19 @@ sidebarTitle: "LatentFlip" icon: "circle" mode: wide --- - The LatentFlip node is designed to manipulate latent representations by flipping them either vertically or horizontally. This operation allows for the transformation of the latent space, potentially uncovering new variations or perspectives within the data. ## Inputs -| Parameter | Data Type | Description | -|---------------|--------------|-------------| -| `samples` | `LATENT` | The 'samples' parameter represents the latent representations to be flipped. The flipping operation alters these representations, either vertically or horizontally, depending on the 'flip_method' parameter, thus transforming the data in the latent space. | -| `flip_method` | COMBO[STRING] | The 'flip_method' parameter specifies the axis along which the latent samples will be flipped. It can be either 'x-axis: vertically' or 'y-axis: horizontally', determining the direction of the flip and thus the nature of the transformation applied to the latent representations. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples` | The 'samples' parameter represents the latent representations to be flipped. The flipping operation alters these representations, either vertically or horizontally, depending on the 'flip_method' parameter, thus transforming the data in the latent space. | `LATENT` | +| `flip_method` | The 'flip_method' parameter specifies the axis along which the latent samples will be flipped. It can be either 'x-axis: vertically' or 'y-axis: horizontally', determining the direction of the flip and thus the nature of the transformation applied to the latent representations. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The output is a modified version of the input latent representations, having been flipped according to the specified method. This transformation can introduce new variations within the latent space. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The output is a modified version of the input latent representations, having been flipped according to the specified method. This transformation can introduce new variations within the latent space. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentFlip/en.md) diff --git a/built-in-nodes/LatentFromBatch.mdx b/built-in-nodes/LatentFromBatch.mdx index 8cf28c32b..4aa8eb787 100644 --- a/built-in-nodes/LatentFromBatch.mdx +++ b/built-in-nodes/LatentFromBatch.mdx @@ -5,19 +5,20 @@ sidebarTitle: "LatentFromBatch" icon: "circle" mode: wide --- - This node is designed to extract a specific subset of latent samples from a given batch based on the specified batch index and length. It allows for selective processing of latent samples, facilitating operations on smaller segments of the batch for efficiency or targeted manipulation. ## Inputs -| Parameter | Data Type | Description | -|---------------|-------------|-------------| -| `samples` | `LATENT` | The collection of latent samples from which a subset will be extracted. This parameter is crucial for determining the source batch of samples to be processed. | -| `batch_index` | `INT` | Specifies the starting index within the batch from which the subset of samples will begin. This parameter enables targeted extraction of samples from specific positions in the batch. | -| `length` | `INT` | Defines the number of samples to be extracted from the specified starting index. This parameter controls the size of the subset to be processed, allowing for flexible manipulation of batch segments. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples` | The collection of latent samples from which a subset will be extracted. This parameter is crucial for determining the source batch of samples to be processed. | `LATENT` | +| `batch_index` | Specifies the starting index within the batch from which the subset of samples will begin. This parameter enables targeted extraction of samples from specific positions in the batch. | `INT` | +| `length` | Defines the number of samples to be extracted from the specified starting index. This parameter controls the size of the subset to be processed, allowing for flexible manipulation of batch segments. | `INT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The extracted subset of latent samples, now available for further processing or analysis. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The extracted subset of latent samples, now available for further processing or analysis. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentFromBatch/en.md) diff --git a/built-in-nodes/LatentInterpolate.mdx b/built-in-nodes/LatentInterpolate.mdx index 6bc90de2f..d4e637a4f 100644 --- a/built-in-nodes/LatentInterpolate.mdx +++ b/built-in-nodes/LatentInterpolate.mdx @@ -5,19 +5,20 @@ sidebarTitle: "LatentInterpolate" icon: "circle" mode: wide --- - The LatentInterpolate node is designed to perform interpolation between two sets of latent samples based on a specified ratio, blending the characteristics of both sets to produce a new, intermediate set of latent samples. ## Inputs -| Parameter | Data Type | Description | -|--------------|-------------|-------------| -| `samples1` | `LATENT` | The first set of latent samples to be interpolated. It serves as the starting point for the interpolation process. | -| `samples2` | `LATENT` | The second set of latent samples to be interpolated. It serves as the endpoint for the interpolation process. | -| `ratio` | `FLOAT` | A floating-point value that determines the weight of each set of samples in the interpolated output. A ratio of 0 produces a copy of the first set, while a ratio of 1 produces a copy of the second set. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples1` | The first set of latent samples to be interpolated. It serves as the starting point for the interpolation process. | `LATENT` | +| `samples2` | The second set of latent samples to be interpolated. It serves as the endpoint for the interpolation process. | `LATENT` | +| `ratio` | A floating-point value that determines the weight of each set of samples in the interpolated output. A ratio of 0 produces a copy of the first set, while a ratio of 1 produces a copy of the second set. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The output is a new set of latent samples that represent an interpolated state between the two input sets, based on the specified ratio. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The output is a new set of latent samples that represent an interpolated state between the two input sets, based on the specified ratio. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentInterpolate/en.md) diff --git a/built-in-nodes/LatentMultiply.mdx b/built-in-nodes/LatentMultiply.mdx index fe2222485..41e03158c 100644 --- a/built-in-nodes/LatentMultiply.mdx +++ b/built-in-nodes/LatentMultiply.mdx @@ -5,18 +5,19 @@ sidebarTitle: "LatentMultiply" icon: "circle" mode: wide --- - The LatentMultiply node is designed to scale the latent representation of samples by a specified multiplier. This operation allows for the adjustment of the intensity or magnitude of features within the latent space, enabling fine-tuning of generated content or the exploration of variations within a given latent direction. ## Inputs -| Parameter | Data Type | Description | -|--------------|-------------|-------------| -| `samples` | `LATENT` | The 'samples' parameter represents the latent representations to be scaled. It is crucial for defining the input data on which the multiplication operation will be performed. | -| `multiplier` | `FLOAT` | The 'multiplier' parameter specifies the scaling factor to be applied to the latent samples. It plays a key role in adjusting the magnitude of the latent features, allowing for nuanced control over the generated output. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples` | The 'samples' parameter represents the latent representations to be scaled. It is crucial for defining the input data on which the multiplication operation will be performed. | `LATENT` | +| `multiplier` | The 'multiplier' parameter specifies the scaling factor to be applied to the latent samples. It plays a key role in adjusting the magnitude of the latent features, allowing for nuanced control over the generated output. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The output is a modified version of the input latent samples, scaled by the specified multiplier. This allows for the exploration of variations within the latent space by adjusting the intensity of its features. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The output is a modified version of the input latent samples, scaled by the specified multiplier. This allows for the exploration of variations within the latent space by adjusting the intensity of its features. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentMultiply/en.md) diff --git a/built-in-nodes/LatentOperationSharpen.mdx b/built-in-nodes/LatentOperationSharpen.mdx index 8ca9254d5..3aba4f240 100644 --- a/built-in-nodes/LatentOperationSharpen.mdx +++ b/built-in-nodes/LatentOperationSharpen.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LatentOperationSharpen" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationSharpen/en.md) - The LatentOperationSharpen node applies a sharpening effect to latent representations using a Gaussian kernel. It works by normalizing the latent data, applying a convolution with a custom sharpening kernel, and then restoring the original luminance. This enhances the details and edges in the latent space representation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `sharpen_radius` | INT | No | 1-31 | The radius of the sharpening kernel (default: 9) | -| `sigma` | FLOAT | No | 0.1-10.0 | The standard deviation for the Gaussian kernel (default: 1.0) | -| `alpha` | FLOAT | No | 0.0-5.0 | The sharpening intensity factor (default: 0.1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `sharpen_radius` | The radius of the sharpening kernel (default: 9) | INT | No | 1-31 | +| `sigma` | The standard deviation for the Gaussian kernel (default: 1.0) | FLOAT | No | 0.1-10.0 | +| `alpha` | The sharpening intensity factor (default: 0.1) | FLOAT | No | 0.0-5.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `operation` | LATENT_OPERATION | Returns a sharpening operation that can be applied to latent data | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `operation` | Returns a sharpening operation that can be applied to latent data | LATENT_OPERATION | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationSharpen/en.md) --- **Source fingerprint (SHA-256):** `98d80144a7d9ae2794ef9e6803ec7e6383dfac1b42a42fec5e17e93d6a806ca5` diff --git a/built-in-nodes/LatentOperationTonemapReinhard.mdx b/built-in-nodes/LatentOperationTonemapReinhard.mdx index 5f56bdd73..6c52b98c4 100644 --- a/built-in-nodes/LatentOperationTonemapReinhard.mdx +++ b/built-in-nodes/LatentOperationTonemapReinhard.mdx @@ -5,21 +5,21 @@ sidebarTitle: "LatentOperationTonemapReinhard" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/en.md) - The LatentOperationTonemapReinhard node applies Reinhard tonemapping to latent vectors. This technique normalizes the latent vectors and adjusts their magnitude using a statistical approach based on mean and standard deviation, with the intensity controlled by a multiplier parameter. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `multiplier` | FLOAT | Yes | 0.0 to 100.0 | Controls the intensity of the tonemapping effect (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `multiplier` | Controls the intensity of the tonemapping effect (default: 1.0) | FLOAT | Yes | 0.0 to 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `operation` | LATENT_OPERATION | Returns a tonemapping operation that can be applied to latent vectors | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `operation` | Returns a tonemapping operation that can be applied to latent vectors | LATENT_OPERATION | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/en.md) --- **Source fingerprint (SHA-256):** `698c142dd4fa084b52c43a12062e8be063870704b0c0dd2de015f3a1142378b8` diff --git a/built-in-nodes/LatentRotate.mdx b/built-in-nodes/LatentRotate.mdx index d0a289968..eeae6d5fa 100644 --- a/built-in-nodes/LatentRotate.mdx +++ b/built-in-nodes/LatentRotate.mdx @@ -5,18 +5,19 @@ sidebarTitle: "LatentRotate" icon: "circle" mode: wide --- - The LatentRotate node is designed to rotate latent representations of images by specified angles. It abstracts the complexity of manipulating latent space to achieve rotation effects, enabling users to easily transform images in a generative model's latent space. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `samples` | `LATENT` | The 'samples' parameter represents the latent representations of images to be rotated. It is crucial for determining the starting point of the rotation operation. | -| `rotation` | COMBO[STRING] | The 'rotation' parameter specifies the angle by which the latent images should be rotated. It directly influences the orientation of the resulting images. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples` | The 'samples' parameter represents the latent representations of images to be rotated. It is crucial for determining the starting point of the rotation operation. | `LATENT` | +| `rotation` | The 'rotation' parameter specifies the angle by which the latent images should be rotated. It directly influences the orientation of the resulting images. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The output is a modified version of the input latent representations, rotated by the specified angle. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The output is a modified version of the input latent representations, rotated by the specified angle. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentRotate/en.md) diff --git a/built-in-nodes/LatentSubtract.mdx b/built-in-nodes/LatentSubtract.mdx index 52851ebf6..c6aa88be4 100644 --- a/built-in-nodes/LatentSubtract.mdx +++ b/built-in-nodes/LatentSubtract.mdx @@ -5,18 +5,19 @@ sidebarTitle: "LatentSubtract" icon: "circle" mode: wide --- - The LatentSubtract node is designed for subtracting one latent representation from another. This operation can be used to manipulate or modify the characteristics of generative models' outputs by effectively removing features or attributes represented in one latent space from another. ## Inputs -| Parameter | Data Type | Description | -|--------------|-------------|-------------| -| `samples1` | `LATENT` | The first set of latent samples to be subtracted from. It serves as the base for the subtraction operation. | -| `samples2` | `LATENT` | The second set of latent samples that will be subtracted from the first set. This operation can alter the resulting generative model's output by removing attributes or features. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples1` | The first set of latent samples to be subtracted from. It serves as the base for the subtraction operation. | `LATENT` | +| `samples2` | The second set of latent samples that will be subtracted from the first set. This operation can alter the resulting generative model's output by removing attributes or features. | `LATENT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The result of subtracting the second set of latent samples from the first. This modified latent representation can be used for further generative tasks. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The result of subtracting the second set of latent samples from the first. This modified latent representation can be used for further generative tasks. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentSubtract/en.md) diff --git a/built-in-nodes/LatentUpscale.mdx b/built-in-nodes/LatentUpscale.mdx index e2e6f9d13..be2d38403 100644 --- a/built-in-nodes/LatentUpscale.mdx +++ b/built-in-nodes/LatentUpscale.mdx @@ -5,21 +5,22 @@ sidebarTitle: "LatentUpscale" icon: "circle" mode: wide --- - The LatentUpscale node is designed for upscaling latent representations of images. It allows for the adjustment of the output image's dimensions and the method of upscaling, providing flexibility in enhancing the resolution of latent images. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `samples` | `LATENT` | The latent representation of an image to be upscaled. This parameter is crucial for determining the starting point of the upscaling process. | -| `upscale_method` | COMBO[STRING] | Specifies the method used for upscaling the latent image. Different methods can affect the quality and characteristics of the upscaled image. | -| `width` | `INT` | The desired width of the upscaled image. If set to 0, it will be calculated based on the height to maintain the aspect ratio. | -| `height` | `INT` | The desired height of the upscaled image. If set to 0, it will be calculated based on the width to maintain the aspect ratio. | -| `crop` | COMBO[STRING] | Determines how the upscaled image should be cropped, affecting the final appearance and dimensions of the output. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples` | The latent representation of an image to be upscaled. This parameter is crucial for determining the starting point of the upscaling process. | `LATENT` | +| `upscale_method` | Specifies the method used for upscaling the latent image. Different methods can affect the quality and characteristics of the upscaled image. | COMBO[STRING] | +| `width` | The desired width of the upscaled image. If set to 0, it will be calculated based on the height to maintain the aspect ratio. | `INT` | +| `height` | The desired height of the upscaled image. If set to 0, it will be calculated based on the width to maintain the aspect ratio. | `INT` | +| `crop` | Determines how the upscaled image should be cropped, affecting the final appearance and dimensions of the output. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The upscaled latent representation of the image, ready for further processing or generation. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The upscaled latent representation of the image, ready for further processing or generation. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscale/en.md) diff --git a/built-in-nodes/LatentUpscaleBy.mdx b/built-in-nodes/LatentUpscaleBy.mdx index 677f8042b..e273a3de8 100644 --- a/built-in-nodes/LatentUpscaleBy.mdx +++ b/built-in-nodes/LatentUpscaleBy.mdx @@ -5,19 +5,20 @@ sidebarTitle: "LatentUpscaleBy" icon: "circle" mode: wide --- - The LatentUpscaleBy node is designed for upscaling latent representations of images. It allows for the adjustment of the scale factor and the method of upscaling, providing flexibility in enhancing the resolution of latent samples. ## Inputs -| Parameter | Data Type | Description | -|---------------|--------------|-------------| -| `samples` | `LATENT` | The latent representation of images to be upscaled. This parameter is crucial for determining the input data that will undergo the upscaling process. | -| `upscale_method` | COMBO[STRING] | Specifies the method used for upscaling the latent samples. The choice of method can significantly affect the quality and characteristics of the upscaled output. | -| `scale_by` | `FLOAT` | Determines the factor by which the latent samples are scaled. This parameter directly influences the resolution of the output, allowing for precise control over the upscaling process. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples` | The latent representation of images to be upscaled. This parameter is crucial for determining the input data that will undergo the upscaling process. | `LATENT` | +| `upscale_method` | Specifies the method used for upscaling the latent samples. The choice of method can significantly affect the quality and characteristics of the upscaled output. | COMBO[STRING] | +| `scale_by` | Determines the factor by which the latent samples are scaled. This parameter directly influences the resolution of the output, allowing for precise control over the upscaling process. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The upscaled latent representation, ready for further processing or generation tasks. This output is essential for enhancing the resolution of generated images or for subsequent model operations. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The upscaled latent representation, ready for further processing or generation tasks. This output is essential for enhancing the resolution of generated images or for subsequent model operations. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleBy/en.md) diff --git a/built-in-nodes/LatentUpscaleModelLoader.mdx b/built-in-nodes/LatentUpscaleModelLoader.mdx index 92d88c5da..29e5620a1 100644 --- a/built-in-nodes/LatentUpscaleModelLoader.mdx +++ b/built-in-nodes/LatentUpscaleModelLoader.mdx @@ -5,21 +5,21 @@ sidebarTitle: "LatentUpscaleModelLoader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/en.md) - The LatentUpscaleModelLoader node loads a specialized model designed for upscaling latent representations. It reads a model file from the system's designated folder and automatically detects its type (720p, 1080p, or other) to instantiate and configure the correct internal model architecture. The loaded model is then ready to be used by other nodes for latent space super-resolution tasks. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_name` | STRING | Yes | *All files in the `latent_upscale_models` folder* | The name of the latent upscale model file to load. The available options are dynamically populated from the files present in your ComfyUI's `latent_upscale_models` directory. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_name` | The name of the latent upscale model file to load. The available options are dynamically populated from the files present in your ComfyUI's `latent_upscale_models` directory. | STRING | Yes | *All files in the `latent_upscale_models` folder* | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | LATENT_UPSCALE_MODEL | The loaded latent upscale model, configured and ready for use. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The loaded latent upscale model, configured and ready for use. | LATENT_UPSCALE_MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/en.md) --- **Source fingerprint (SHA-256):** `afd35f0d5dacb14a835c00bf34c016d270e85064eca7d7ff42880e67cc64a01f` diff --git a/built-in-nodes/LazyCache.mdx b/built-in-nodes/LazyCache.mdx index e3553a85e..adb93110f 100644 --- a/built-in-nodes/LazyCache.mdx +++ b/built-in-nodes/LazyCache.mdx @@ -5,25 +5,25 @@ sidebarTitle: "LazyCache" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LazyCache/en.md) - LazyCache is a homebrew version of EasyCache that provides an even easier implementation. It works with any model in ComfyUI and adds caching functionality to reduce computation during sampling. While it generally performs worse than EasyCache, it can be more effective in some rare cases and offers universal compatibility. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to add LazyCache to. | -| `reuse_threshold` | FLOAT | No | 0.0 - 3.0 | The threshold for reusing cached steps (default: 0.2). | -| `start_percent` | FLOAT | No | 0.0 - 1.0 | The relative sampling step to begin use of LazyCache (default: 0.15). | -| `end_percent` | FLOAT | No | 0.0 - 1.0 | The relative sampling step to end use of LazyCache (default: 0.95). | -| `verbose` | BOOLEAN | No | - | Whether to log verbose information (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to add LazyCache to. | MODEL | Yes | - | +| `reuse_threshold` | The threshold for reusing cached steps (default: 0.2). | FLOAT | No | 0.0 - 3.0 | +| `start_percent` | The relative sampling step to begin use of LazyCache (default: 0.15). | FLOAT | No | 0.0 - 1.0 | +| `end_percent` | The relative sampling step to end use of LazyCache (default: 0.95). | FLOAT | No | 0.0 - 1.0 | +| `verbose` | Whether to log verbose information (default: False). | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The model with LazyCache functionality added. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The model with LazyCache functionality added. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LazyCache/en.md) --- **Source fingerprint (SHA-256):** `72ca1bbaf795e17951d1f7f9f37350dc3f1511351cc59a5043b40e069fd31340` diff --git a/built-in-nodes/Load3D.mdx b/built-in-nodes/Load3D.mdx index 89bb108f5..4e5970369 100644 --- a/built-in-nodes/Load3D.mdx +++ b/built-in-nodes/Load3D.mdx @@ -19,23 +19,23 @@ Besides regular node outputs, Load3D has lots of 3D view-related settings in the ## Inputs -| Parameter Name | Type | Description | Default | Range | -|---------------|----------|---------------------------------|---------|--------------| -| model_file | File Selection | 3D model file path, supports upload, defaults to reading model files from `ComfyUI/input/3d/` | - | Supported formats | -| width | INT | Canvas rendering width | 1024 | 1-4096 | -| height | INT | Canvas rendering height | 1024 | 1-4096 | +| Parameter Name | Description | Type | Default | Range | +| --- | --- | --- | --- | --- | +| model_file | 3D model file path, supports upload, defaults to reading model files from `ComfyUI/input/3d/` | File Selection | - | Supported formats | +| width | Canvas rendering width | INT | 1024 | 1-4096 | +| height | Canvas rendering height | INT | 1024 | 1-4096 | ## Outputs -| Parameter Name | Data Type | Description | -|-----------------|----------------|------------------------------------| -| image | IMAGE | Canvas rendered image | -| mask | MASK | Mask containing current model position | -| mesh_path | STRING | Model file path | -| normal | IMAGE | Normal map | -| lineart | IMAGE | Line art image output, corresponding `edge_threshold` can be adjusted in the canvas model menu | -| camera_info | LOAD3D_CAMERA | Camera information | -| recording_video | VIDEO | Recorded video (only when recording exists) | +| Parameter Name | Description | Data Type | +| --- | --- | --- | +| image | Canvas rendered image | IMAGE | +| mask | Mask containing current model position | MASK | +| mesh_path | Model file path | STRING | +| normal | Normal map | IMAGE | +| lineart | Line art image output, corresponding `edge_threshold` can be adjusted in the canvas model menu | IMAGE | +| camera_info | Camera information | LOAD3D_CAMERA | +| recording_video | Recorded video (only when recording exists) | VIDEO | All the outputs preview: ![View Operation Demo](/images/built-in-nodes/Load3D/load3d_outputs.webp) @@ -137,3 +137,5 @@ The right menu has two main functions: 1. **Reset view ratio**: After clicking the button, the view will adjust the canvas rendering area ratio according to the set width and height 2. **Video recording**: Allows you to record current 3D view operations as video, allows import, and can be output as `recording_video` to subsequent nodes + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Load3D/en.md) diff --git a/built-in-nodes/Load3DAnimation.mdx b/built-in-nodes/Load3DAnimation.mdx index b541a7915..b6d996cc6 100644 --- a/built-in-nodes/Load3DAnimation.mdx +++ b/built-in-nodes/Load3DAnimation.mdx @@ -22,23 +22,23 @@ Besides regular node outputs, Load3D has lots of 3D view-related settings in the ## Inputs -| Parameter Name | Type | Description | Default | Range | -|---------------|----------|---------------------------------|---------|--------------| -| model_file | File Selection | 3D model file path, supports upload, defaults to reading model files from `ComfyUI/input/3d/` | - | Supported formats | -| width | INT | Canvas rendering width | 1024 | 1-4096 | -| height | INT | Canvas rendering height | 1024 | 1-4096 | +| Parameter Name | Description | Type | Default | Range | +| --- | --- | --- | --- | --- | +| model_file | 3D model file path, supports upload, defaults to reading model files from `ComfyUI/input/3d/` | File Selection | - | Supported formats | +| width | Canvas rendering width | INT | 1024 | 1-4096 | +| height | Canvas rendering height | INT | 1024 | 1-4096 | ## Outputs -| Parameter Name | Data Type | Description | -|-----------------|----------------|------------------------------------| -| image | IMAGE | Canvas rendered image | -| mask | MASK | Mask containing current model position | -| mesh_path | STRING | Model file path | -| normal | IMAGE | Normal map | -| lineart | IMAGE | Line art image output, corresponding `edge_threshold` can be adjusted in the canvas model menu | -| camera_info | LOAD3D_CAMERA | Camera information | -| recording_video | VIDEO | Recorded video (only when recording exists) | +| Parameter Name | Description | Data Type | +| --- | --- | --- | +| image | Canvas rendered image | IMAGE | +| mask | Mask containing current model position | MASK | +| mesh_path | Model file path | STRING | +| normal | Normal map | IMAGE | +| lineart | Line art image output, corresponding `edge_threshold` can be adjusted in the canvas model menu | IMAGE | +| camera_info | Camera information | LOAD3D_CAMERA | +| recording_video | Recorded video (only when recording exists) | VIDEO | All the outputs preview: ![View Operation Demo](/images/built-in-nodes/Load3DAnimation/load3d_outputs.webp) @@ -140,3 +140,5 @@ The right menu has two main functions: 1. **Reset view ratio**: After clicking the button, the view will adjust the canvas rendering area ratio according to the set width and height 2. **Video recording**: Allows you to record current 3D view operations as video, allows import, and can be output as `recording_video` to subsequent nodes + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Load3DAnimation/en.md) diff --git a/built-in-nodes/LoadAudio.mdx b/built-in-nodes/LoadAudio.mdx index e01347f99..044acfa3f 100644 --- a/built-in-nodes/LoadAudio.mdx +++ b/built-in-nodes/LoadAudio.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LoadAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadAudio/en.md) - The LoadAudio node loads audio files from the input directory and converts them into a format that can be processed by other audio nodes in ComfyUI. It reads audio files and extracts both the waveform data and sample rate, making them available for downstream audio processing tasks. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | All supported audio and video files in the input directory | The audio file to load from the input directory | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | The audio file to load from the input directory | AUDIO | Yes | All supported audio and video files in the input directory | **Note:** The node only accepts audio and video files that are present in ComfyUI's input directory. The file must exist and be accessible for successful loading. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `AUDIO` | AUDIO | Audio data containing waveform and sample rate information | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `AUDIO` | Audio data containing waveform and sample rate information | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadAudio/en.md) --- **Source fingerprint (SHA-256):** `5631a5c50471e4612344c4bd0457e9824e9a7a8f8b75b22d06f13d5136c75258` diff --git a/built-in-nodes/LoadBackgroundRemovalModel.mdx b/built-in-nodes/LoadBackgroundRemovalModel.mdx index d1e1a4d56..efb4657ce 100644 --- a/built-in-nodes/LoadBackgroundRemovalModel.mdx +++ b/built-in-nodes/LoadBackgroundRemovalModel.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LoadBackgroundRemovalModel" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadBackgroundRemovalModel/en.md) - ## Overview Loads a background removal model from a file. This node prepares the model for use in removing backgrounds from images. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `bg_removal_name` | STRING | Yes | List of available model files | The model used to remove backgrounds from images. Select from the list of available background removal model files. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `bg_removal_name` | The model used to remove backgrounds from images. Select from the list of available background removal model files. | STRING | Yes | List of available model files | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `bg_model` | BACKGROUND_REMOVAL | The loaded background removal model, ready to be used by other nodes for processing images. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `bg_model` | The loaded background removal model, ready to be used by other nodes for processing images. | BACKGROUND_REMOVAL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadBackgroundRemovalModel/en.md) --- **Source fingerprint (SHA-256):** `3f2da4d2fcafb7d65f4e5099102011c3be9500f3eec6c59c6897aa9640ae8f04` diff --git a/built-in-nodes/LoadImage.mdx b/built-in-nodes/LoadImage.mdx index 34fbefebb..51af9bdf2 100644 --- a/built-in-nodes/LoadImage.mdx +++ b/built-in-nodes/LoadImage.mdx @@ -5,18 +5,19 @@ sidebarTitle: "LoadImage" icon: "circle" mode: wide --- - The LoadImage node is designed to load and preprocess images from a specified path. It handles image formats with multiple frames, applies necessary transformations such as rotation based on EXIF data, normalizes pixel values, and optionally generates a mask for images with an alpha channel. This node is essential for preparing images for further processing or analysis within a pipeline. ## Inputs -| Parameter | Data Type | Description | -|-----------|--------------|-------------| -| `image` | COMBO[STRING] | The 'image' parameter specifies the identifier of the image to be loaded and processed. It is crucial for determining the path to the image file and subsequently loading the image for transformation and normalization. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The 'image' parameter specifies the identifier of the image to be loaded and processed. It is crucial for determining the path to the image file and subsequently loading the image for transformation and normalization. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The processed image, with pixel values normalized and transformations applied as necessary. It is ready for further processing or analysis. | -| `mask` | `MASK` | An optional output providing a mask for the image, useful in scenarios where the image includes an alpha channel for transparency. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The processed image, with pixel values normalized and transformations applied as necessary. It is ready for further processing or analysis. | `IMAGE` | +| `mask` | An optional output providing a mask for the image, useful in scenarios where the image includes an alpha channel for transparency. | `MASK` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImage/en.md) diff --git a/built-in-nodes/LoadImageDataSetFromFolder.mdx b/built-in-nodes/LoadImageDataSetFromFolder.mdx index 31f363413..952692f51 100644 --- a/built-in-nodes/LoadImageDataSetFromFolder.mdx +++ b/built-in-nodes/LoadImageDataSetFromFolder.mdx @@ -5,21 +5,21 @@ sidebarTitle: "LoadImageDataSetFromFolder" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/en.md) - This node loads multiple images from a specified subfolder within ComfyUI's input directory. It scans the chosen folder for common image file types and returns them as a list, making it useful for batch processing or dataset preparation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `folder` | STRING | Yes | *Multiple options available* | The folder to load images from. The options are the subfolders present in ComfyUI's main input directory. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `folder` | The folder to load images from. The options are the subfolders present in ComfyUI's main input directory. | STRING | Yes | *Multiple options available* | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `images` | IMAGE | List of loaded images. The node loads all valid image files (PNG, JPG, JPEG, WEBP) found in the selected folder. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `images` | List of loaded images. The node loads all valid image files (PNG, JPG, JPEG, WEBP) found in the selected folder. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/en.md) --- **Source fingerprint (SHA-256):** `62db052cfda66658172a881214d2a30dcfe626bec3ae619d1d32c75e327339c4` diff --git a/built-in-nodes/LoadImageMask.mdx b/built-in-nodes/LoadImageMask.mdx index 996e6071b..f22b6cfc7 100644 --- a/built-in-nodes/LoadImageMask.mdx +++ b/built-in-nodes/LoadImageMask.mdx @@ -5,18 +5,19 @@ sidebarTitle: "LoadImageMask" icon: "circle" mode: wide --- - The LoadImageMask node is designed to load images and their associated masks from a specified path, processing them to ensure compatibility with further image manipulation or analysis tasks. It focuses on handling various image formats and conditions, such as presence of an alpha channel for masks, and prepares the images and masks for downstream processing by converting them to a standardized format. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | COMBO[STRING] | The 'image' parameter specifies the image file to be loaded and processed. It plays a crucial role in determining the output by providing the source image for mask extraction and format conversion. | -| `channel` | COMBO[STRING] | The 'channel' parameter specifies the color channel of the image that will be used to generate the mask. This allows for flexibility in mask creation based on different color channels, enhancing the node's utility in various image processing scenarios. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The 'image' parameter specifies the image file to be loaded and processed. It plays a crucial role in determining the output by providing the source image for mask extraction and format conversion. | COMBO[STRING] | +| `channel` | The 'channel' parameter specifies the color channel of the image that will be used to generate the mask. This allows for flexibility in mask creation based on different color channels, enhancing the node's utility in various image processing scenarios. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `mask` | `MASK` | This node outputs the mask generated from the specified image and channel, prepared in a standardized format suitable for further processing in image manipulation tasks. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | This node outputs the mask generated from the specified image and channel, prepared in a standardized format suitable for further processing in image manipulation tasks. | `MASK` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageMask/en.md) diff --git a/built-in-nodes/LoadImageOutput.mdx b/built-in-nodes/LoadImageOutput.mdx index 502998966..b0c1a2288 100644 --- a/built-in-nodes/LoadImageOutput.mdx +++ b/built-in-nodes/LoadImageOutput.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LoadImageOutput" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageOutput/en.md) - The LoadImageOutput node loads images from the output folder. When you click the refresh button, it updates the list of available images and automatically selects the first one, making it easy to iterate through your generated images. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | COMBO | Yes | Multiple options available | Load an image from the output folder. Includes an upload option and refresh button to update the image list. When the refresh button is clicked, the node will update the image list and automatically select the first image, allowing for easy iteration. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | Load an image from the output folder. Includes an upload option and refresh button to update the image list. When the refresh button is clicked, the node will update the image list and automatically select the first image, allowing for easy iteration. | COMBO | Yes | Multiple options available | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The loaded image from the output folder | -| `mask` | MASK | The mask associated with the loaded image | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The loaded image from the output folder | IMAGE | +| `mask` | The mask associated with the loaded image | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageOutput/en.md) --- **Source fingerprint (SHA-256):** `d1de0140765c9d5dd393715faa84dc5c3f0e49117391b8823a51b176bcb568d8` diff --git a/built-in-nodes/LoadImageSetFromFolderNode.mdx b/built-in-nodes/LoadImageSetFromFolderNode.mdx index 0aa4af9d5..839cb040f 100644 --- a/built-in-nodes/LoadImageSetFromFolderNode.mdx +++ b/built-in-nodes/LoadImageSetFromFolderNode.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LoadImageSetFromFolderNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetFromFolderNode/en.md) - The LoadImageSetFromFolderNode loads multiple images from a specified folder directory for training purposes. It automatically detects common image formats and can optionally resize the images using different methods before returning them as a batch. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `folder` | STRING | Yes | Multiple options available | The folder to load images from. | -| `resize_method` | STRING | No | "None"
"Stretch"
"Crop"
"Pad" | The method to use for resizing images (default: "None"). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `folder` | The folder to load images from. | STRING | Yes | Multiple options available | +| `resize_method` | The method to use for resizing images (default: "None"). | STRING | No | "None"
"Stretch"
"Crop"
"Pad" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The batch of loaded images as a single tensor. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The batch of loaded images as a single tensor. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetFromFolderNode/en.md) --- **Source fingerprint (SHA-256):** `46fcfbf6a2ad95e707e32e54ed7b4c06bfd1cc290df122042187689f41bed828` diff --git a/built-in-nodes/LoadImageSetNode.mdx b/built-in-nodes/LoadImageSetNode.mdx index 0e0a7fa4b..3f4647614 100644 --- a/built-in-nodes/LoadImageSetNode.mdx +++ b/built-in-nodes/LoadImageSetNode.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LoadImageSetNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetNode/en.md) - The LoadImageSetNode loads multiple images from the input directory for batch processing and training purposes. It supports various image formats and can optionally resize the images using different methods. This node processes all selected images as a batch and returns them as a single tensor. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | Multiple image files | Select multiple images from the input directory. Supports PNG, JPG, JPEG, WEBP, BMP, GIF, JPE, APNG, TIF, and TIFF formats. Allows batch selection of images. | -| `resize_method` | STRING | No | "None"
"Stretch"
"Crop"
"Pad" | Optional method to resize loaded images (default: "None"). Choose "None" to keep original sizes, "Stretch" to force resize, "Crop" to maintain aspect ratio by cropping, or "Pad" to maintain aspect ratio by adding padding. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | Select multiple images from the input directory. Supports PNG, JPG, JPEG, WEBP, BMP, GIF, JPE, APNG, TIF, and TIFF formats. Allows batch selection of images. | IMAGE | Yes | Multiple image files | +| `resize_method` | Optional method to resize loaded images (default: "None"). Choose "None" to keep original sizes, "Stretch" to force resize, "Crop" to maintain aspect ratio by cropping, or "Pad" to maintain aspect ratio by adding padding. | STRING | No | "None"
"Stretch"
"Crop"
"Pad" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | A tensor containing all loaded images as a batch for further processing. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | A tensor containing all loaded images as a batch for further processing. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetNode/en.md) --- **Source fingerprint (SHA-256):** `acf0255bcf170ef3ac3b86a3f3e060c3b81064ca8924918a026ec8e3b86f7ac0` diff --git a/built-in-nodes/LoadImageTextDataSetFromFolder.mdx b/built-in-nodes/LoadImageTextDataSetFromFolder.mdx index c104a0066..b7e0ef8ed 100644 --- a/built-in-nodes/LoadImageTextDataSetFromFolder.mdx +++ b/built-in-nodes/LoadImageTextDataSetFromFolder.mdx @@ -5,24 +5,24 @@ sidebarTitle: "LoadImageTextDataSetFromFolder" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/en.md) - This node loads a dataset of images and their corresponding text captions from a specified folder. It searches for image files and automatically looks for matching `.txt` files with the same base name to use as captions. The node also supports a specific folder structure where subfolders can be named with a number prefix (like `10_folder_name`) to indicate that the images inside should be repeated multiple times in the output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `folder` | COMBO | Yes | *Dynamically loaded from `folder_paths.get_input_subfolders()`* | The folder to load images and text captions from. The available options are the subdirectories within ComfyUI's input directory. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `folder` | The folder to load images and text captions from. The available options are the subdirectories within ComfyUI's input directory. | COMBO | Yes | *Dynamically loaded from `folder_paths.get_input_subfolders()`* | **Note:** The node expects a specific file structure. For each image file (`.png`, `.jpg`, `.jpeg`, `.webp`), it will look for a `.txt` file with the same name to use as a caption. If a caption file is not found, an empty string is used. The node also supports a special structure where a subfolder's name begins with a number and an underscore (e.g., `5_cats`), which will cause all images inside that subfolder to be repeated that number of times in the final output list. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `images` | IMAGE | A list of loaded image tensors. | -| `texts` | STRING | A list of text captions corresponding to each loaded image. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `images` | A list of loaded image tensors. | IMAGE | +| `texts` | A list of text captions corresponding to each loaded image. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/en.md) --- **Source fingerprint (SHA-256):** `c505d580b7bfb84ee71aca8fa98c847eeba531da9e578ddfe17818a2fd2ae5e8` diff --git a/built-in-nodes/LoadImageTextSetFromFolderNode.mdx b/built-in-nodes/LoadImageTextSetFromFolderNode.mdx index 539a39e75..2e1d1e737 100644 --- a/built-in-nodes/LoadImageTextSetFromFolderNode.mdx +++ b/built-in-nodes/LoadImageTextSetFromFolderNode.mdx @@ -5,19 +5,17 @@ sidebarTitle: "LoadImageTextSetFromFolderNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextSetFromFolderNode/en.md) - Loads a batch of images and their corresponding text captions from a specified directory for training purposes. The node automatically searches for image files and their associated caption text files, processes the images according to specified resize settings, and encodes the captions using the provided CLIP model. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `folder` | STRING | Yes | - | The folder to load images from. | -| `clip` | CLIP | Yes | - | The CLIP model used for encoding the text. | -| `resize_method` | COMBO | No | "None"
"Stretch"
"Crop"
"Pad" | The method used to resize images (default: "None"). | -| `width` | INT | No | -1 to 10000 | The width to resize the images to. -1 means use the original width (default: -1). | -| `height` | INT | No | -1 to 10000 | The height to resize the images to. -1 means use the original height (default: -1). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `folder` | The folder to load images from. | STRING | Yes | - | +| `clip` | The CLIP model used for encoding the text. | CLIP | Yes | - | +| `resize_method` | The method used to resize images (default: "None"). | COMBO | No | "None"
"Stretch"
"Crop"
"Pad" | +| `width` | The width to resize the images to. -1 means use the original width (default: -1). | INT | No | -1 to 10000 | +| `height` | The height to resize the images to. -1 means use the original height (default: -1). | INT | No | -1 to 10000 | **Note:** The CLIP input must be valid and cannot be None. If the CLIP model comes from a checkpoint loader node, ensure the checkpoint contains a valid CLIP or text encoder model. @@ -25,10 +23,12 @@ Loads a batch of images and their corresponding text captions from a specified d ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The batch of loaded and processed images. | -| `CONDITIONING` | CONDITIONING | The encoded conditioning data from the text captions. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The batch of loaded and processed images. | IMAGE | +| `CONDITIONING` | The encoded conditioning data from the text captions. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextSetFromFolderNode/en.md) --- **Source fingerprint (SHA-256):** `ffd6399783fc281a58bae811112d9ecacb51ab8ea3b512befa9b9fab2c6860de` diff --git a/built-in-nodes/LoadLatent.mdx b/built-in-nodes/LoadLatent.mdx index 6612ad81a..1f35b532d 100644 --- a/built-in-nodes/LoadLatent.mdx +++ b/built-in-nodes/LoadLatent.mdx @@ -5,21 +5,21 @@ sidebarTitle: "LoadLatent" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadLatent/en.md) - The LoadLatent node loads previously saved latent representations from .latent files in the input directory. It reads the latent tensor data from the file and applies any necessary scaling adjustments before returning the latent data for use in other nodes. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `latent` | STRING | Yes | All .latent files in input directory | Selects which .latent file to load from the available files in the input directory | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `latent` | Selects which .latent file to load from the available files in the input directory | STRING | Yes | All .latent files in input directory | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `LATENT` | LATENT | Returns the loaded latent representation data from the selected file | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `LATENT` | Returns the loaded latent representation data from the selected file | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadLatent/en.md) --- **Source fingerprint (SHA-256):** `020185a6066263b75b2417411f07af54d31a2a3a056d650eacfff188dc2cb87e` diff --git a/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx b/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx index 9541d014e..fc65c231f 100644 --- a/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx +++ b/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx @@ -5,25 +5,25 @@ sidebarTitle: "LoadMediaPipeFaceLandmarker" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/en.md) - ## Overview This node loads a MediaPipe Face Landmarker v2 model, which can detect faces and facial landmarks (like eyes, nose, and mouth) in images. It contains two detection variants (short-range and full-range) along with shared mesh data, blendshapes, and canonical geometry for facial analysis. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_name` | STRING | Yes | List of available models in the `models/detection/` directory | Face detection model from models/detection/. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_name` | Face detection model from models/detection/. | STRING | Yes | List of available models in the `models/detection/` directory | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | A loaded FaceLandmarker model object containing both detection variants (short/full), connection sets for facial topology, canonical data, and model patchers for GPU management. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `FACE_DETECTION_MODEL` | A loaded FaceLandmarker model object containing both detection variants (short/full), connection sets for facial topology, canonical data, and model patchers for GPU management. | FACE_DETECTION_MODEL | **Note:** The output is a complex object that can be used by other nodes for face detection and landmark extraction tasks. It contains two detection variants: "short" for close-range detection and "full" for full-range detection. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/en.md) + --- **Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26` diff --git a/built-in-nodes/LoadMoGeModel.mdx b/built-in-nodes/LoadMoGeModel.mdx index dead0576d..26fdfb5d4 100644 --- a/built-in-nodes/LoadMoGeModel.mdx +++ b/built-in-nodes/LoadMoGeModel.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LoadMoGeModel" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/en.md) - ## Overview Loads a MoGe (Monocular Geometry) model from a file and prepares it for use in geometry estimation tasks. This node reads a model file from the `geometry_estimation` folder and initializes the MoGe model with its trained weights. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_name` | STRING | Yes | List of available model files in the `geometry_estimation` folder | The name of the MoGe model file to load. Select from the available model files in your ComfyUI installation. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_name` | The name of the MoGe model file to load. Select from the available model files in your ComfyUI installation. | STRING | Yes | List of available model files in the `geometry_estimation` folder | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MOGE_MODEL` | MOGE_MODEL | The loaded MoGe model instance, ready for use in geometry estimation workflows. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MOGE_MODEL` | The loaded MoGe model instance, ready for use in geometry estimation workflows. | MOGE_MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/en.md) --- **Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1` diff --git a/built-in-nodes/LoadTrainingDataset.mdx b/built-in-nodes/LoadTrainingDataset.mdx index 07d6e51ef..85ee570af 100644 --- a/built-in-nodes/LoadTrainingDataset.mdx +++ b/built-in-nodes/LoadTrainingDataset.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LoadTrainingDataset" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/en.md) - This node loads an encoded training dataset that has been previously saved to disk. It searches for and reads all data shard files from a specified folder within the ComfyUI output directory, then returns the combined latent vectors and conditioning data for use in training workflows. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `folder_name` | STRING | Yes | N/A | Name of the folder containing the saved dataset, located inside the ComfyUI output directory (default: "training_dataset"). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `folder_name` | Name of the folder containing the saved dataset, located inside the ComfyUI output directory (default: "training_dataset"). | STRING | Yes | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `latents` | LATENT | A list of latent dictionaries, where each dictionary contains a `"samples"` key with a tensor. | -| `conditioning` | CONDITIONING | A list of conditioning lists, where each inner list contains conditioning data for a corresponding sample. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `latents` | A list of latent dictionaries, where each dictionary contains a `"samples"` key with a tensor. | LATENT | +| `conditioning` | A list of conditioning lists, where each inner list contains conditioning data for a corresponding sample. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/en.md) --- **Source fingerprint (SHA-256):** `1d074685317b5bd53d9fb7596126b0f579de6c67b5615717b1a16ba01fc01efd` diff --git a/built-in-nodes/LoadVideo.mdx b/built-in-nodes/LoadVideo.mdx index 118d87642..87a75f526 100644 --- a/built-in-nodes/LoadVideo.mdx +++ b/built-in-nodes/LoadVideo.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LoadVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadVideo/en.md) - The Load Video node loads video files from the input directory and makes them available for processing in the workflow. It reads video files from the designated input folder and outputs them as video data that can be connected to other video processing nodes. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `file` | STRING | Yes | Multiple options available | The video file to load from the input directory. The dropdown list is dynamically populated with all video files found in the ComfyUI input folder. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `file` | The video file to load from the input directory. The dropdown list is dynamically populated with all video files found in the ComfyUI input folder. | STRING | Yes | Multiple options available | **Note:** The available options for the `file` parameter are dynamically populated from the video files present in the input directory. Only video files with supported content types are displayed. You can also upload a new video file directly through the node's file picker interface. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The loaded video data that can be passed to other video processing nodes for further manipulation or analysis. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The loaded video data that can be passed to other video processing nodes for further manipulation or analysis. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadVideo/en.md) --- **Source fingerprint (SHA-256):** `7cdd0ed301e4545e38fb706231a18510088b76af4e843ccdfb3ae3cf8a912f49` diff --git a/built-in-nodes/LoraLoader.mdx b/built-in-nodes/LoraLoader.mdx index 508e17872..614765574 100644 --- a/built-in-nodes/LoraLoader.mdx +++ b/built-in-nodes/LoraLoader.mdx @@ -18,17 +18,19 @@ If you need to load multiple LoRA models, you can directly chain multiple nodes ## Inputs -| Parameter | Data Type | Description | +| Parameter | Description | Data Type | | --- | --- | --- | -| `model` | MODEL | Typically used to connect to the base model | -| `clip` | CLIP | Typically used to connect to the CLIP model | -| `lora_name` | COMBO[STRING] | Select the name of the LoRA model to use | -| `strength_model` | FLOAT | Value range from -100.0 to 100.0, typically used between 0~1 for daily image generation. Higher values result in more pronounced model adjustment effects | -| `strength_clip` | FLOAT | Value range from -100.0 to 100.0, typically used between 0~1 for daily image generation. Higher values result in more pronounced model adjustment effects | +| `model` | Typically used to connect to the base model | MODEL | +| `clip` | Typically used to connect to the CLIP model | CLIP | +| `lora_name` | Select the name of the LoRA model to use | COMBO[STRING] | +| `strength_model` | Value range from -100.0 to 100.0, typically used between 0~1 for daily image generation. Higher values result in more pronounced model adjustment effects | FLOAT | +| `strength_clip` | Value range from -100.0 to 100.0, typically used between 0~1 for daily image generation. Higher values result in more pronounced model adjustment effects | FLOAT | ## Outputs -| Parameter | Data Type | Description | +| Parameter | Description | Data Type | | --- | --- | --- | -| `model` | MODEL | The model with LoRA adjustments applied | -| `clip` | CLIP | The CLIP instance with LoRA adjustments applied | +| `model` | The model with LoRA adjustments applied | MODEL | +| `clip` | The CLIP instance with LoRA adjustments applied | CLIP | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoader/en.md) diff --git a/built-in-nodes/LoraLoaderBypass.mdx b/built-in-nodes/LoraLoaderBypass.mdx index a062c1476..9630b4319 100644 --- a/built-in-nodes/LoraLoaderBypass.mdx +++ b/built-in-nodes/LoraLoaderBypass.mdx @@ -5,28 +5,28 @@ sidebarTitle: "LoraLoaderBypass" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypass/en.md) - The LoraLoaderBypass node applies a LoRA (Low-Rank Adaptation) to a diffusion model and a CLIP model in a special "bypass" mode. Unlike a standard LoRA loader, this method does not permanently modify the base model's weights. Instead, it computes the output by adding the LoRA's effect to the model's normal forward pass, which is useful for training or when working with models that have their weights offloaded. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model the LoRA will be applied to. | -| `clip` | CLIP | Yes | - | The CLIP model the LoRA will be applied to. | -| `lora_name` | COMBO | Yes | *List of available LoRA files* | The name of the LoRA file to apply. The options are loaded from the `loras` folder. | -| `strength_model` | FLOAT | Yes | -100.0 to 100.0 | How strongly to modify the diffusion model. This value can be negative (default: 1.0). | -| `strength_clip` | FLOAT | Yes | -100.0 to 100.0 | How strongly to modify the CLIP model. This value can be negative (default: 1.0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model the LoRA will be applied to. | MODEL | Yes | - | +| `clip` | The CLIP model the LoRA will be applied to. | CLIP | Yes | - | +| `lora_name` | The name of the LoRA file to apply. The options are loaded from the `loras` folder. | COMBO | Yes | *List of available LoRA files* | +| `strength_model` | How strongly to modify the diffusion model. This value can be negative (default: 1.0). | FLOAT | Yes | -100.0 to 100.0 | +| `strength_clip` | How strongly to modify the CLIP model. This value can be negative (default: 1.0). | FLOAT | Yes | -100.0 to 100.0 | **Note:** If both `strength_model` and `strength_clip` are set to 0, the node will return the original, unmodified `model` and `clip` inputs without processing. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MODEL` | MODEL | The diffusion model with the LoRA applied in bypass mode. | -| `CLIP` | CLIP | The CLIP model with the LoRA applied in bypass mode. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MODEL` | The diffusion model with the LoRA applied in bypass mode. | MODEL | +| `CLIP` | The CLIP model with the LoRA applied in bypass mode. | CLIP | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypass/en.md) --- **Source fingerprint (SHA-256):** `2642f4ed98457e5fd08e2103ffb9f2c02f11326590aadf0636fb7db51f484815` diff --git a/built-in-nodes/LoraLoaderBypassModelOnly.mdx b/built-in-nodes/LoraLoaderBypassModelOnly.mdx index e297be36d..64b14997e 100644 --- a/built-in-nodes/LoraLoaderBypassModelOnly.mdx +++ b/built-in-nodes/LoraLoaderBypassModelOnly.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LoraLoaderBypassModelOnly" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypassModelOnly/en.md) - This node applies a LoRA (Low-Rank Adaptation) to a model to modify its behavior, but only affects the model component itself. It loads a specified LoRA file and adjusts the model's weights by a given strength, leaving other components like the CLIP text encoder unchanged. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The base model to which the LoRA adjustments will be applied. | -| `lora_name` | STRING | Yes | (List of available LoRA files) | The name of the LoRA file to load and apply. The options are populated from the files in the `loras` directory. | -| `strength_model` | FLOAT | Yes | -100.0 to 100.0 | The strength of the LoRA's effect on the model's weights. A positive value applies the LoRA, a negative value applies the inverse, and a value of 0 has no effect (default: 1.0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The base model to which the LoRA adjustments will be applied. | MODEL | Yes | - | +| `lora_name` | The name of the LoRA file to load and apply. The options are populated from the files in the `loras` directory. | STRING | Yes | (List of available LoRA files) | +| `strength_model` | The strength of the LoRA's effect on the model's weights. A positive value applies the LoRA, a negative value applies the inverse, and a value of 0 has no effect (default: 1.0). | FLOAT | Yes | -100.0 to 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with the LoRA adjustments applied to its weights. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with the LoRA adjustments applied to its weights. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypassModelOnly/en.md) --- **Source fingerprint (SHA-256):** `e0e1ad2d6481a1b9771d7eae833ffab0737a967d4af6e57b946d1b2223fe45bf` diff --git a/built-in-nodes/LoraLoaderModelOnly.mdx b/built-in-nodes/LoraLoaderModelOnly.mdx index a25334757..80258e91f 100644 --- a/built-in-nodes/LoraLoaderModelOnly.mdx +++ b/built-in-nodes/LoraLoaderModelOnly.mdx @@ -5,21 +5,22 @@ sidebarTitle: "LoraLoaderModelOnly" icon: "circle" mode: wide --- - This node will detect models located in the `ComfyUI/models/loras` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need to **refresh the ComfyUI interface** to allow it to read the model files from the corresponding folder. This node specializes in loading a LoRA model without requiring a CLIP model, focusing on enhancing or modifying a given model based on LoRA parameters. It allows for the dynamic adjustment of the model's strength through LoRA parameters, facilitating fine-tuned control over the model's behavior. ## Inputs -| Field | Comfy dtype | Description | -|-------------------|-------------------|-----------------------------------------------------------------------------------------------| -| `model` | `MODEL` | The base model for modifications, to which LoRA adjustments will be applied. | -| `lora_name` | `COMBO[STRING]` | The name of the LoRA file to be loaded, specifying the adjustments to apply to the model. | -| `strength_model` | `FLOAT` | Determines the intensity of the LoRA adjustments, with higher values indicating stronger modifications. | +| Field | Description | Comfy dtype | +| --- | --- | --- | +| `model` | The base model for modifications, to which LoRA adjustments will be applied. | `MODEL` | +| `lora_name` | The name of the LoRA file to be loaded, specifying the adjustments to apply to the model. | `COMBO[STRING]` | +| `strength_model` | Determines the intensity of the LoRA adjustments, with higher values indicating stronger modifications. | `FLOAT` | ## Outputs -| Field | Data Type | Description | -|---------|-------------|--------------------------------------------------------------------------| -| `model` | `MODEL` | The modified model with LoRA adjustments applied, reflecting changes in model behavior or capabilities. | +| Field | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with LoRA adjustments applied, reflecting changes in model behavior or capabilities. | `MODEL` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderModelOnly/en.md) diff --git a/built-in-nodes/LoraModelLoader.mdx b/built-in-nodes/LoraModelLoader.mdx index 9722cb8c5..69a36937c 100644 --- a/built-in-nodes/LoraModelLoader.mdx +++ b/built-in-nodes/LoraModelLoader.mdx @@ -5,26 +5,26 @@ sidebarTitle: "LoraModelLoader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraModelLoader/en.md) - The LoraModelLoader node applies trained LoRA (Low-Rank Adaptation) weights to a diffusion model. It modifies the base model by loading LoRA weights from a trained LoRA model and adjusting their influence strength. This allows you to customize the behavior of diffusion models without retraining them from scratch. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model the LoRA will be applied to. | -| `lora` | LORA_MODEL | Yes | - | The LoRA model to apply to the diffusion model. | -| `strength_model` | FLOAT | Yes | -100.0 to 100.0 | How strongly to modify the diffusion model. This value can be negative (default: 1.0). | -| `bypass` | BOOLEAN | Yes | True or False | When enabled, applies LoRA in bypass mode without modifying base model weights. Useful for training and when model weights are offloaded (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model the LoRA will be applied to. | MODEL | Yes | - | +| `lora` | The LoRA model to apply to the diffusion model. | LORA_MODEL | Yes | - | +| `strength_model` | How strongly to modify the diffusion model. This value can be negative (default: 1.0). | FLOAT | Yes | -100.0 to 100.0 | +| `bypass` | When enabled, applies LoRA in bypass mode without modifying base model weights. Useful for training and when model weights are offloaded (default: False). | BOOLEAN | Yes | True or False | **Note:** When `strength_model` is set to 0, the node returns the original model without applying any LoRA modifications. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified diffusion model with LoRA weights applied. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified diffusion model with LoRA weights applied. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraModelLoader/en.md) --- **Source fingerprint (SHA-256):** `dbb0852d4f40ded8a4490244634e13eeb367e5573b664a0f7e37213364793413` diff --git a/built-in-nodes/LoraSave.mdx b/built-in-nodes/LoraSave.mdx index 57e009cac..74af80ac8 100644 --- a/built-in-nodes/LoraSave.mdx +++ b/built-in-nodes/LoraSave.mdx @@ -5,28 +5,28 @@ sidebarTitle: "LoraSave" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraSave/en.md) - The LoraSave node extracts and saves LoRA (Low-Rank Adaptation) files from model differences. It can process diffusion model differences, text encoder differences, or both, converting them into LoRA format with specified rank and type. The resulting LoRA file is saved to the output directory for later use. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `filename_prefix` | STRING | Yes | - | The prefix for the output filename (default: "loras/ComfyUI_extracted_lora") | -| `rank` | INT | Yes | 1-4096 | The rank value for the LoRA, controlling the size and complexity (default: 8) | -| `lora_type` | COMBO | Yes | `"standard"`
`"full_diff"` | The type of LoRA to create. "standard" extracts low-rank matrices via SVD; "full_diff" saves the full weight difference (default: "standard") | -| `bias_diff` | BOOLEAN | Yes | - | Whether to include bias differences in the LoRA calculation (default: True) | -| `model_diff` | MODEL | No | - | The ModelSubtract output to be converted to a lora | -| `text_encoder_diff` | CLIP | No | - | The CLIPSubtract output to be converted to a lora | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `filename_prefix` | The prefix for the output filename (default: "loras/ComfyUI_extracted_lora") | STRING | Yes | - | +| `rank` | The rank value for the LoRA, controlling the size and complexity (default: 8) | INT | Yes | 1-4096 | +| `lora_type` | The type of LoRA to create. "standard" extracts low-rank matrices via SVD; "full_diff" saves the full weight difference (default: "standard") | COMBO | Yes | `"standard"`
`"full_diff"` | +| `bias_diff` | Whether to include bias differences in the LoRA calculation (default: True) | BOOLEAN | Yes | - | +| `model_diff` | The ModelSubtract output to be converted to a lora | MODEL | No | - | +| `text_encoder_diff` | The CLIPSubtract output to be converted to a lora | CLIP | No | - | **Note:** At least one of `model_diff` or `text_encoder_diff` must be provided for the node to function. If both are omitted, the node will produce no output. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| - | - | This node saves a LoRA file to the output directory but does not return any data through the workflow | +| Output Name | Description | Data Type | +| --- | --- | --- | +| - | This node saves a LoRA file to the output directory but does not return any data through the workflow | - | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraSave/en.md) --- **Source fingerprint (SHA-256):** `642510bfe083130cb2724d7ae38d30d4694c85a43c7ce27230690ddd9fe76b79` diff --git a/built-in-nodes/LossGraphNode.mdx b/built-in-nodes/LossGraphNode.mdx index 113a252ba..5dbd19baf 100644 --- a/built-in-nodes/LossGraphNode.mdx +++ b/built-in-nodes/LossGraphNode.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LossGraphNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LossGraphNode/en.md) - The LossGraphNode creates a visual graph of training loss values over time and displays it as a preview image. It takes loss data from training processes and generates a line chart showing how the loss changes across training steps. The resulting graph includes axis labels and min/max loss values. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `loss` | LOSS_MAP | Yes | - | Loss map from training node. | -| `filename_prefix` | STRING | Yes | - | Prefix for the saved loss graph image. (default: "loss_graph") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `loss` | Loss map from training node. | LOSS_MAP | Yes | - | +| `filename_prefix` | Prefix for the saved loss graph image. (default: "loss_graph") | STRING | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `ui.images` | IMAGE | The generated loss graph image displayed as a preview. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `ui.images` | The generated loss graph image displayed as a preview. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LossGraphNode/en.md) --- **Source fingerprint (SHA-256):** `88164045339e4181cefc6ed3a2d3c35921b9cadc2977eb7406fad7e9b353f818` diff --git a/built-in-nodes/LotusConditioning.mdx b/built-in-nodes/LotusConditioning.mdx index b334a9d37..6c333e3f9 100644 --- a/built-in-nodes/LotusConditioning.mdx +++ b/built-in-nodes/LotusConditioning.mdx @@ -5,21 +5,21 @@ sidebarTitle: "LotusConditioning" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LotusConditioning/en.md) - The LotusConditioning node provides pre-computed conditioning embeddings for the Lotus model. It uses a frozen encoder with null conditioning and returns hardcoded prompt embeddings to achieve parity with the reference implementation without requiring inference or loading large tensor files. This node outputs a fixed conditioning tensor that can be used directly in the generation pipeline. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| *No inputs* | - | - | - | This node does not accept any input parameters. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| *No inputs* | This node does not accept any input parameters. | - | - | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `conditioning` | CONDITIONING | The pre-computed conditioning embeddings for the Lotus model, containing fixed prompt embeddings and an empty dictionary. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `conditioning` | The pre-computed conditioning embeddings for the Lotus model, containing fixed prompt embeddings and an empty dictionary. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LotusConditioning/en.md) --- **Source fingerprint (SHA-256):** `950e09b7fda911c7596445cf1a90ec10f451b396534f149b74e86b2da7deacc0` diff --git a/built-in-nodes/LtxvApiImageToVideo.mdx b/built-in-nodes/LtxvApiImageToVideo.mdx index c1790a1ca..5c4dfd9bf 100644 --- a/built-in-nodes/LtxvApiImageToVideo.mdx +++ b/built-in-nodes/LtxvApiImageToVideo.mdx @@ -5,21 +5,19 @@ sidebarTitle: "LtxvApiImageToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md) - The LTXV Image To Video node generates a professional-quality video from a single starting image. It uses an external API to create a video sequence based on your text prompt, allowing you to customize the duration, resolution, and frame rate. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | First frame to be used for the video. | -| `model` | COMBO | Yes | `"LTX-2 (Pro)"`
`"LTX-2 (Fast)"` | The AI model to use for video generation. The "Pro" model is optimized for quality, while the "Fast" model is optimized for speed. | -| `prompt` | STRING | Yes | - | A text description that guides the content and motion of the generated video. | -| `duration` | COMBO | Yes | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | The length of the video in seconds (default: 8). | -| `resolution` | COMBO | Yes | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | The output resolution of the generated video. | -| `fps` | COMBO | Yes | `25`
`50` | The frames per second for the video (default: 25). | -| `generate_audio` | BOOLEAN | No | - | When true, the generated video will include AI-generated audio matching the scene (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | First frame to be used for the video. | IMAGE | Yes | - | +| `model` | The AI model to use for video generation. The "Pro" model is optimized for quality, while the "Fast" model is optimized for speed. | COMBO | Yes | `"LTX-2 (Pro)"`
`"LTX-2 (Fast)"` | +| `prompt` | A text description that guides the content and motion of the generated video. | STRING | Yes | - | +| `duration` | The length of the video in seconds (default: 8). | COMBO | Yes | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | +| `resolution` | The output resolution of the generated video. | COMBO | Yes | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | +| `fps` | The frames per second for the video (default: 25). | COMBO | Yes | `25`
`50` | +| `generate_audio` | When true, the generated video will include AI-generated audio matching the scene (default: False). | BOOLEAN | No | - | **Important Constraints:** @@ -29,9 +27,11 @@ The LTXV Image To Video node generates a professional-quality video from a singl ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md) --- **Source fingerprint (SHA-256):** `a4c6109ba8f70b0e80cf1888f940190c7a3e3994867e37f00669ae12742a94f8` diff --git a/built-in-nodes/LtxvApiTextToVideo.mdx b/built-in-nodes/LtxvApiTextToVideo.mdx index 16707bf8e..268b62edc 100644 --- a/built-in-nodes/LtxvApiTextToVideo.mdx +++ b/built-in-nodes/LtxvApiTextToVideo.mdx @@ -5,20 +5,18 @@ sidebarTitle: "LtxvApiTextToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiTextToVideo/en.md) - The LTXV Text To Video node generates professional-quality videos from a text description. It connects to an external API to create videos with customizable duration, resolution, and frame rate. You can also choose to have AI-generated audio added to the video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"LTX-2 (Pro)"`
`"LTX-2 (Fast)"` | The AI model to use for video generation. "LTX-2 (Pro)" offers higher quality, while "LTX-2 (Fast)" is optimized for speed. | -| `prompt` | STRING | Yes | - | The text description that the AI will use to generate the video. This field supports multiple lines of text. | -| `duration` | COMBO | Yes | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | The length of the generated video in seconds (default: 8). | -| `resolution` | COMBO | Yes | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | The pixel dimensions (width x height) of the output video. | -| `fps` | COMBO | Yes | `25`
`50` | The frames per second for the video (default: 25). | -| `generate_audio` | BOOLEAN | No | - | When enabled, the generated video will include AI-generated audio matching the scene (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model to use for video generation. "LTX-2 (Pro)" offers higher quality, while "LTX-2 (Fast)" is optimized for speed. | COMBO | Yes | `"LTX-2 (Pro)"`
`"LTX-2 (Fast)"` | +| `prompt` | The text description that the AI will use to generate the video. This field supports multiple lines of text. | STRING | Yes | - | +| `duration` | The length of the generated video in seconds (default: 8). | COMBO | Yes | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | +| `resolution` | The pixel dimensions (width x height) of the output video. | COMBO | Yes | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | +| `fps` | The frames per second for the video (default: 25). | COMBO | Yes | `25`
`50` | +| `generate_audio` | When enabled, the generated video will include AI-generated audio matching the scene (default: False). | BOOLEAN | No | - | **Important Constraints:** @@ -27,9 +25,11 @@ The LTXV Text To Video node generates professional-quality videos from a text de ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiTextToVideo/en.md) --- **Source fingerprint (SHA-256):** `8da5616f195dc4dea7d46d56b71dead6fb7a5dfa74bb7d8909bf6bd792540feb` diff --git a/built-in-nodes/LumaConceptsNode.mdx b/built-in-nodes/LumaConceptsNode.mdx index e76f5ac4b..8a60d234b 100644 --- a/built-in-nodes/LumaConceptsNode.mdx +++ b/built-in-nodes/LumaConceptsNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "LumaConceptsNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaConceptsNode/en.md) - Holds one or more Camera Concepts for use with Luma Text to Video and Luma Image to Video nodes. This node allows you to select up to four camera concepts and optionally combine them with existing concept chains. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `concept1` | STRING | Yes | Multiple options available
Includes "None" option | First camera concept selection from available Luma concepts | -| `concept2` | STRING | Yes | Multiple options available
Includes "None" option | Second camera concept selection from available Luma concepts | -| `concept3` | STRING | Yes | Multiple options available
Includes "None" option | Third camera concept selection from available Luma concepts | -| `concept4` | STRING | Yes | Multiple options available
Includes "None" option | Fourth camera concept selection from available Luma concepts | -| `luma_concepts` | LUMA_CONCEPTS | No | N/A | Optional Camera Concepts to add to the ones chosen here | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `concept1` | First camera concept selection from available Luma concepts | STRING | Yes | Multiple options available
Includes "None" option | +| `concept2` | Second camera concept selection from available Luma concepts | STRING | Yes | Multiple options available
Includes "None" option | +| `concept3` | Third camera concept selection from available Luma concepts | STRING | Yes | Multiple options available
Includes "None" option | +| `concept4` | Fourth camera concept selection from available Luma concepts | STRING | Yes | Multiple options available
Includes "None" option | +| `luma_concepts` | Optional Camera Concepts to add to the ones chosen here | LUMA_CONCEPTS | No | N/A | **Note:** All concept parameters (`concept1` through `concept4`) can be set to "None" if you don't want to use all four concept slots. The node will merge any provided `luma_concepts` with the selected concepts to create a combined concept chain. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `luma_concepts` | LUMA_CONCEPTS | Combined camera concept chain containing all selected concepts | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `luma_concepts` | Combined camera concept chain containing all selected concepts | LUMA_CONCEPTS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaConceptsNode/en.md) --- **Source fingerprint (SHA-256):** `37e292aee8316e165e0069b1080479fed049d5bf754de90ef830f6400ca7e5c8` diff --git a/built-in-nodes/LumaImageEditNode2.mdx b/built-in-nodes/LumaImageEditNode2.mdx index 23911f487..c84c750a5 100644 --- a/built-in-nodes/LumaImageEditNode2.mdx +++ b/built-in-nodes/LumaImageEditNode2.mdx @@ -5,20 +5,18 @@ sidebarTitle: "LumaImageEditNode2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageEditNode2/en.md) - ## Overview This node edits an existing image using a text prompt, powered by the Luma UNI-1 model. It takes a source image and a description of the desired change, then generates a new edited version of the image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `source` | IMAGE | Yes | - | Source image to edit. | -| `prompt` | STRING | Yes | 1–6000 characters | Description of the desired edit. Default: "" (empty string). | -| `model` | MODEL | Yes | `"uni-1"`
`"uni-1-max"` | Model to use for editing. | -| `seed` | INT | Yes | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. Default: 0. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `source` | Source image to edit. | IMAGE | Yes | - | +| `prompt` | Description of the desired edit. Default: "" (empty string). | STRING | Yes | 1–6000 characters | +| `model` | Model to use for editing. | MODEL | Yes | `"uni-1"`
`"uni-1-max"` | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. Default: 0. | INT | Yes | 0 to 2147483647 | **Parameter Constraints:** - The `prompt` must be between 1 and 6000 characters long. @@ -26,9 +24,11 @@ This node edits an existing image using a text prompt, powered by the Luma UNI-1 ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The edited image generated by the Luma UNI-1 model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The edited image generated by the Luma UNI-1 model. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageEditNode2/en.md) --- **Source fingerprint (SHA-256):** `7d658d8e11b54dbad38d8d679553d55299313dacbdcc76d91079c5f92275d07e` diff --git a/built-in-nodes/LumaImageModifyNode.mdx b/built-in-nodes/LumaImageModifyNode.mdx index 708796a70..ea192cfed 100644 --- a/built-in-nodes/LumaImageModifyNode.mdx +++ b/built-in-nodes/LumaImageModifyNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "LumaImageModifyNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md) - Modifies images synchronously based on a text prompt and the original image's aspect ratio. This node takes an input image and transforms it according to the provided prompt, using a configurable image weight to control how much the original image is altered. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be modified | -| `prompt` | STRING | Yes | - | Prompt for the image generation (default: "") | -| `image_weight` | FLOAT | No | 0.0-0.98 | Weight of the image; the closer to 1.0, the less the image will be modified (default: 0.1). Internally, this value is inverted (1.0 - image_weight) and clamped between 0.0 and 0.98. | -| `model` | STRING | Yes | `"photon-flash-1"`
`"photon-1"`
`"photon"` | The Luma model to use for image modification. Different models have different costs. | -| `seed` | INT | No | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be modified | IMAGE | Yes | - | +| `prompt` | Prompt for the image generation (default: "") | STRING | Yes | - | +| `image_weight` | Weight of the image; the closer to 1.0, the less the image will be modified (default: 0.1). Internally, this value is inverted (1.0 - image_weight) and clamped between 0.0 and 0.98. | FLOAT | No | 0.0-0.98 | +| `model` | The Luma model to use for image modification. Different models have different costs. | STRING | Yes | `"photon-flash-1"`
`"photon-1"`
`"photon"` | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | INT | No | 0-18446744073709551615 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The modified image generated by the Luma model | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The modified image generated by the Luma model | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md) --- **Source fingerprint (SHA-256):** `9798382092f179fe55972568687285bd728981ca59f1b0a5e4e2ca4bd9b7c981` diff --git a/built-in-nodes/LumaImageNode.mdx b/built-in-nodes/LumaImageNode.mdx index eba5036f4..ec91eb4c9 100644 --- a/built-in-nodes/LumaImageNode.mdx +++ b/built-in-nodes/LumaImageNode.mdx @@ -5,22 +5,20 @@ sidebarTitle: "LumaImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode/en.md) - Generates images synchronously based on a text prompt and aspect ratio. This node creates images using text descriptions and allows you to control the image dimensions and style through various reference inputs, including character and style images. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string). Must be at least 3 characters long. | -| `model` | COMBO | Yes | `photon-flash-1`
`photon-1`
`photon` | Model selection for image generation. Different models have different costs. | -| `aspect_ratio` | COMBO | Yes | `16:9`
`1:1`
`4:3`
`3:2`
`21:9`
`9:16`
`3:4`
`2:3`
`9:21` | Aspect ratio for the generated image (default: `16:9`) | -| `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | -| `style_image_weight` | FLOAT | No | 0.0 to 1.0 | Weight of style image. Ignored if no `style_image` is provided (default: 1.0) | -| `image_luma_ref` | LUMA_REF | No | - | Luma Reference node connection to influence generation with input images; up to 4 images can be considered. | -| `style_image` | IMAGE | No | - | Style reference image; only 1 image will be used. | -| `character_image` | IMAGE | No | - | Character reference images; can be a batch of multiple, up to 4 images can be considered. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the image generation (default: empty string). Must be at least 3 characters long. | STRING | Yes | - | +| `model` | Model selection for image generation. Different models have different costs. | COMBO | Yes | `photon-flash-1`
`photon-1`
`photon` | +| `aspect_ratio` | Aspect ratio for the generated image (default: `16:9`) | COMBO | Yes | `16:9`
`1:1`
`4:3`
`3:2`
`21:9`
`9:16`
`3:4`
`2:3`
`9:21` | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | INT | Yes | 0 to 18446744073709551615 | +| `style_image_weight` | Weight of style image. Ignored if no `style_image` is provided (default: 1.0) | FLOAT | No | 0.0 to 1.0 | +| `image_luma_ref` | Luma Reference node connection to influence generation with input images; up to 4 images can be considered. | LUMA_REF | No | - | +| `style_image` | Style reference image; only 1 image will be used. | IMAGE | No | - | +| `character_image` | Character reference images; can be a batch of multiple, up to 4 images can be considered. | IMAGE | No | - | **Parameter Constraints:** @@ -32,9 +30,11 @@ Generates images synchronously based on a text prompt and aspect ratio. This nod ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The generated image based on the input parameters. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated image based on the input parameters. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode/en.md) --- **Source fingerprint (SHA-256):** `353d99868c8c09edfab212e49f127585a6cbe1a24d6ee8fe584169adcded2961` diff --git a/built-in-nodes/LumaImageNode2.mdx b/built-in-nodes/LumaImageNode2.mdx index b47d7b8c1..1392019bd 100644 --- a/built-in-nodes/LumaImageNode2.mdx +++ b/built-in-nodes/LumaImageNode2.mdx @@ -5,38 +5,38 @@ sidebarTitle: "LumaImageNode2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode2/en.md) - ## Overview This node generates images from text descriptions using the Luma UNI-1 model. It takes a text prompt and optional settings like aspect ratio and style, then sends the request to the Luma API to create an image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | 1–6000 characters | Text description of the desired image. | -| `model` | COMBO | Yes | `"uni-1"`
`"uni-1-max"` | Model to use for generation. Selecting a model reveals additional settings for that model. | -| `seed` | INT | Yes | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text description of the desired image. | STRING | Yes | 1–6000 characters | +| `model` | Model to use for generation. Selecting a model reveals additional settings for that model. | COMBO | Yes | `"uni-1"`
`"uni-1-max"` | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | Yes | 0 to 2147483647 | ### Model-specific Inputs When `"uni-1"` or `"uni-1-max"` is selected for the `model` parameter, the following inputs become available: -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `aspect_ratio` | COMBO | Yes | `"auto"`
`"3:1"`
`"2:1"`
`"16:9"`
`"3:2"`
`"1:1"`
`"2:3"`
`"9:16"`
`"1:2"`
`"1:3"` | Output image aspect ratio. `"auto"` lets the model pick based on the prompt. (default: `"auto"`) | -| `style` | COMBO | Yes | `"auto"`
`"manga"` | The visual style for the generated image. (default: `"auto"`) | -| `web_search` | BOOLEAN | Yes | True / False | Whether to allow the model to search the web for additional context. (default: False) | -| `image_ref` | IMAGE | No | Up to 9 images | Reference images to guide the generation. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `aspect_ratio` | Output image aspect ratio. `"auto"` lets the model pick based on the prompt. (default: `"auto"`) | COMBO | Yes | `"auto"`
`"3:1"`
`"2:1"`
`"16:9"`
`"3:2"`
`"1:1"`
`"2:3"`
`"9:16"`
`"1:2"`
`"1:3"` | +| `style` | The visual style for the generated image. (default: `"auto"`) | COMBO | Yes | `"auto"`
`"manga"` | +| `web_search` | Whether to allow the model to search the web for additional context. (default: False) | BOOLEAN | Yes | True / False | +| `image_ref` | Reference images to guide the generation. | IMAGE | No | Up to 9 images | **Note on `style` and `aspect_ratio` constraints:** If `style` is set to `"manga"`, the `aspect_ratio` must be either `"auto"` or one of the following portrait ratios: `"2:3"`, `"9:16"`, `"1:2"`, `"1:3"`. Using a landscape or square ratio with `"manga"` style will cause an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The generated image as a tensor. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The generated image as a tensor. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode2/en.md) --- **Source fingerprint (SHA-256):** `cd680f8b9e6bcf5fa415aa2d9ec3126bf8873d14bd6f4cd127491cfa242e5548` diff --git a/built-in-nodes/LumaImageToVideoNode.mdx b/built-in-nodes/LumaImageToVideoNode.mdx index 1ddc38a3b..60f7ff5c8 100644 --- a/built-in-nodes/LumaImageToVideoNode.mdx +++ b/built-in-nodes/LumaImageToVideoNode.mdx @@ -5,31 +5,31 @@ sidebarTitle: "LumaImageToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md) - Generates videos synchronously based on a text prompt and optional starting/ending images. This node uses the Luma API to create videos, allowing you to define the video's content through a prompt and optionally specify the first and/or last frame to control the video's structure. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Prompt for the video generation (default: "") | -| `model` | COMBO | Yes | `"ray-1-6"`
`"ray-2"` | Selects the video generation model from available Luma models | -| `resolution` | COMBO | Yes | `"540p"`
`"720p"
`"1080p"`
`"4k"` | Output resolution for the generated video (default: "540p"). This parameter is ignored when using the `ray-1-6` model. | -| `duration` | COMBO | Yes | `"5s"`
`"9s"` | Duration of the generated video. This parameter is ignored when using the `ray-1-6` model. | -| `loop` | BOOLEAN | Yes | - | Whether the generated video should loop (default: False) | -| `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) | -| `first_image` | IMAGE | No | - | First frame of generated video. (optional) | -| `last_image` | IMAGE | No | - | Last frame of generated video. (optional) | -| `luma_concepts` | CUSTOM | No | - | Optional Camera Concepts to dictate camera motion via the Luma Concepts node. (optional) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the video generation (default: "") | STRING | Yes | - | +| `model` | Selects the video generation model from available Luma models | COMBO | Yes | `"ray-1-6"`
`"ray-2"` | +| `resolution` | Output resolution for the generated video (default: "540p"). This parameter is ignored when using the `ray-1-6` model. | COMBO | Yes | `"540p"`
`"720p"
`"1080p"`
`"4k"` | +| `duration` | Duration of the generated video. This parameter is ignored when using the `ray-1-6` model. | COMBO | Yes | `"5s"`
`"9s"` | +| `loop` | Whether the generated video should loop (default: False) | BOOLEAN | Yes | - | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) | INT | Yes | 0 to 18446744073709551615 | +| `first_image` | First frame of generated video. (optional) | IMAGE | No | - | +| `last_image` | Last frame of generated video. (optional) | IMAGE | No | - | +| `luma_concepts` | Optional Camera Concepts to dictate camera motion via the Luma Concepts node. (optional) | CUSTOM | No | - | **Note:** At least one of `first_image` or `last_image` must be provided. The node will raise an exception if both are missing. The `resolution` and `duration` parameters are ignored when the `model` is set to `ray-1-6`. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `0ef0e33f4822b522909a9732b333710197cd6e28ed6012c791f4268f8e995a84` diff --git a/built-in-nodes/LumaReferenceNode.mdx b/built-in-nodes/LumaReferenceNode.mdx index 9b969fc26..b2da2cfd4 100644 --- a/built-in-nodes/LumaReferenceNode.mdx +++ b/built-in-nodes/LumaReferenceNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LumaReferenceNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaReferenceNode/en.md) - This node holds an image and weight value for use with the Luma Generate Image node. It creates a reference chain that can be passed to other Luma nodes to influence image generation. The node can either start a new reference chain or add to an existing one. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | Image to use as reference. | -| `weight` | FLOAT | Yes | 0.0 - 1.0 | Weight of image reference (default: 1.0). | -| `luma_ref` | LUMA_REF | No | - | Optional existing Luma reference chain to add to. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | Image to use as reference. | IMAGE | Yes | - | +| `weight` | Weight of image reference (default: 1.0). | FLOAT | Yes | 0.0 - 1.0 | +| `luma_ref` | Optional existing Luma reference chain to add to. | LUMA_REF | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `luma_ref` | LUMA_REF | The Luma reference chain containing the image and weight. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `luma_ref` | The Luma reference chain containing the image and weight. | LUMA_REF | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaReferenceNode/en.md) --- **Source fingerprint (SHA-256):** `1cca0ddc397a72c03bb7d6d24135c09795934f566b23368298a89b90a14dc8cc` diff --git a/built-in-nodes/LumaVideoNode.mdx b/built-in-nodes/LumaVideoNode.mdx index 0278e41c6..3aa70f693 100644 --- a/built-in-nodes/LumaVideoNode.mdx +++ b/built-in-nodes/LumaVideoNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "LumaVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaVideoNode/en.md) - Generates videos synchronously based on a text prompt and output settings. This node creates video content using text descriptions and various generation parameters, producing the final video output once the generation process is complete. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Prompt for the video generation (default: empty string). Must be at least 3 characters long. | -| `model` | COMBO | Yes | `"ray_1_6"`
`"ray_2"` | The video generation model to use. | -| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | The aspect ratio for the generated video (default: "16:9"). | -| `resolution` | COMBO | Yes | `"540p"`
`"720p"`
`"1080p"` | The output resolution for the video (default: "540p"). This parameter is ignored when using the `ray_1_6` model. | -| `duration` | COMBO | Yes | `"5s"`
`"9s"` | The duration of the generated video. This parameter is ignored when using the `ray_1_6` model. | -| `loop` | BOOLEAN | Yes | - | Whether the video should loop (default: False). | -| `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | -| `luma_concepts` | CUSTOM | No | - | Optional Camera Concepts to dictate camera motion via the Luma Concepts node. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the video generation (default: empty string). Must be at least 3 characters long. | STRING | Yes | - | +| `model` | The video generation model to use. | COMBO | Yes | `"ray_1_6"`
`"ray_2"` | +| `aspect_ratio` | The aspect ratio for the generated video (default: "16:9"). | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | +| `resolution` | The output resolution for the video (default: "540p"). This parameter is ignored when using the `ray_1_6` model. | COMBO | Yes | `"540p"`
`"720p"`
`"1080p"` | +| `duration` | The duration of the generated video. This parameter is ignored when using the `ray_1_6` model. | COMBO | Yes | `"5s"`
`"9s"` | +| `loop` | Whether the video should loop (default: False). | BOOLEAN | Yes | - | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | INT | Yes | 0 to 18446744073709551615 | +| `luma_concepts` | Optional Camera Concepts to dictate camera motion via the Luma Concepts node. | CUSTOM | No | - | **Note:** When using the `ray_1_6` model, the `duration` and `resolution` parameters are automatically ignored and do not affect the generation. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaVideoNode/en.md) --- **Source fingerprint (SHA-256):** `3e7fb20aebee034e2055d87e7c1c24a995aece152b0271de48c81ce82cf2911a` diff --git a/built-in-nodes/MagnificImageRelightNode.mdx b/built-in-nodes/MagnificImageRelightNode.mdx index de9f1b1fa..1f00b7ef3 100644 --- a/built-in-nodes/MagnificImageRelightNode.mdx +++ b/built-in-nodes/MagnificImageRelightNode.mdx @@ -5,23 +5,21 @@ sidebarTitle: "MagnificImageRelightNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageRelightNode/en.md) - The Magnific Image Relight node adjusts the lighting of an input image. It can apply stylistic lighting based on a text prompt or transfer the lighting characteristics from an optional reference image. The node offers various controls for fine-tuning the brightness, contrast, and overall mood of the final output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | N/A | The image to relight. Exactly one image is required. Minimum dimensions are 160x160 pixels. Aspect ratio must be between 1:3 and 3:1. | -| `prompt` | STRING | No | N/A | Descriptive guidance for lighting. Supports emphasis notation (1-1.4). Default is an empty string. | -| `light_transfer_strength` | INT | Yes | 0 to 100 | Intensity of light transfer application. Default: 100. | -| `style` | COMBO | Yes | `"standard"`
`"darker_but_realistic"`
`"clean"`
`"smooth"`
`"brighter"`
`"contrasted_n_hdr"`
`"just_composition"` | Stylistic output preference. | -| `interpolate_from_original` | BOOLEAN | Yes | N/A | Restricts generation freedom to match original more closely. Default: False. | -| `change_background` | BOOLEAN | Yes | N/A | Modifies background based on prompt/reference. Default: True. | -| `preserve_details` | BOOLEAN | Yes | N/A | Maintains texture and fine details from original. Default: True. | -| `advanced_settings` | DYNAMICCOMBO | Yes | `"disabled"`
`"enabled"` | Fine-tuning options for advanced lighting control. When set to `"enabled"`, additional parameters become available. | -| `reference_image` | IMAGE | No | N/A | Optional reference image to transfer lighting from. If provided, exactly one image is required. Minimum dimensions are 160x160 pixels. Aspect ratio must be between 1:3 and 3:1. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The image to relight. Exactly one image is required. Minimum dimensions are 160x160 pixels. Aspect ratio must be between 1:3 and 3:1. | IMAGE | Yes | N/A | +| `prompt` | Descriptive guidance for lighting. Supports emphasis notation (1-1.4). Default is an empty string. | STRING | No | N/A | +| `light_transfer_strength` | Intensity of light transfer application. Default: 100. | INT | Yes | 0 to 100 | +| `style` | Stylistic output preference. | COMBO | Yes | `"standard"`
`"darker_but_realistic"`
`"clean"`
`"smooth"`
`"brighter"`
`"contrasted_n_hdr"`
`"just_composition"` | +| `interpolate_from_original` | Restricts generation freedom to match original more closely. Default: False. | BOOLEAN | Yes | N/A | +| `change_background` | Modifies background based on prompt/reference. Default: True. | BOOLEAN | Yes | N/A | +| `preserve_details` | Maintains texture and fine details from original. Default: True. | BOOLEAN | Yes | N/A | +| `advanced_settings` | Fine-tuning options for advanced lighting control. When set to `"enabled"`, additional parameters become available. | DYNAMICCOMBO | Yes | `"disabled"`
`"enabled"` | +| `reference_image` | Optional reference image to transfer lighting from. If provided, exactly one image is required. Minimum dimensions are 160x160 pixels. Aspect ratio must be between 1:3 and 3:1. | IMAGE | No | N/A | **Note on Advanced Settings:** When `advanced_settings` is set to `"enabled"`, the following nested parameters become active: @@ -37,9 +35,11 @@ The Magnific Image Relight node adjusts the lighting of an input image. It can a ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The relit image. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The relit image. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageRelightNode/en.md) --- **Source fingerprint (SHA-256):** `52d6a2c2ab8b03397ed78222c4da936f96f816cde01e2c9cccc3d4915042330f` diff --git a/built-in-nodes/MagnificImageSkinEnhancerNode.mdx b/built-in-nodes/MagnificImageSkinEnhancerNode.mdx index a47bf8053..48599da26 100644 --- a/built-in-nodes/MagnificImageSkinEnhancerNode.mdx +++ b/built-in-nodes/MagnificImageSkinEnhancerNode.mdx @@ -5,20 +5,18 @@ sidebarTitle: "MagnificImageSkinEnhancerNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/en.md) - The Magnific Image Skin Enhancer node applies specialized AI processing to portrait images to improve skin appearance. It offers three distinct modes for different enhancement goals: creative for artistic effects, faithful for preserving the original look, and flexible for targeted improvements like lighting or realism. The node uploads the image to an external API for processing and returns the enhanced result. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The portrait image to enhance. | -| `sharpen` | INT | No | 0 to 100 | Sharpening intensity level (default: 0). | -| `smart_grain` | INT | No | 0 to 100 | Smart grain intensity level (default: 2). | -| `mode` | COMBO | Yes | `"creative"`
`"faithful"`
`"flexible"` | The processing mode to use. `"creative"` is for artistic enhancement, `"faithful"` for preserving the original appearance, and `"flexible"` for targeted optimization. | -| `skin_detail` | INT | No | 0 to 100 | Skin detail enhancement level. This input is only available when the `mode` is set to `"faithful"` (default: 80). | -| `optimized_for` | COMBO | No | `"enhance_skin"`
`"improve_lighting"`
`"enhance_everything"`
`"transform_to_real"`
`"no_make_up"` | Enhancement optimization target. This input is only available when the `mode` is set to `"flexible"`. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The portrait image to enhance. | IMAGE | Yes | - | +| `sharpen` | Sharpening intensity level (default: 0). | INT | No | 0 to 100 | +| `smart_grain` | Smart grain intensity level (default: 2). | INT | No | 0 to 100 | +| `mode` | The processing mode to use. `"creative"` is for artistic enhancement, `"faithful"` for preserving the original appearance, and `"flexible"` for targeted optimization. | COMBO | Yes | `"creative"`
`"faithful"`
`"flexible"` | +| `skin_detail` | Skin detail enhancement level. This input is only available when the `mode` is set to `"faithful"` (default: 80). | INT | No | 0 to 100 | +| `optimized_for` | Enhancement optimization target. This input is only available when the `mode` is set to `"flexible"`. | COMBO | No | `"enhance_skin"`
`"improve_lighting"`
`"enhance_everything"`
`"transform_to_real"`
`"no_make_up"` | **Constraints:** @@ -30,9 +28,11 @@ The Magnific Image Skin Enhancer node applies specialized AI processing to portr ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The enhanced portrait image. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The enhanced portrait image. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/en.md) --- **Source fingerprint (SHA-256):** `1c87ba8a71ccac4fd17c35ad5bf2ee9b27c8bcb45a9d76cd077d6c0614f1ecc1` diff --git a/built-in-nodes/MagnificImageStyleTransferNode.mdx b/built-in-nodes/MagnificImageStyleTransferNode.mdx index a147f252d..3dc13f477 100644 --- a/built-in-nodes/MagnificImageStyleTransferNode.mdx +++ b/built-in-nodes/MagnificImageStyleTransferNode.mdx @@ -5,25 +5,23 @@ sidebarTitle: "MagnificImageStyleTransferNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md) - This node applies the visual style from a reference image to your input image. It uses an external AI service to process the images, allowing you to control the strength of the style transfer and the preservation of the original image's structure. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The image to apply style transfer to. | -| `reference_image` | IMAGE | Yes | - | The reference image to extract style from. | -| `prompt` | STRING | No | - | An optional text prompt to guide the style transfer. | -| `style_strength` | INT | No | 0 to 100 | Percentage of style strength (default: 100). | -| `structure_strength` | INT | No | 0 to 100 | Maintains the structure of the original image (default: 50). | -| `flavor` | COMBO | No | "faithful"
"gen_z"
"psychedelia"
"detaily"
"clear"
"donotstyle"
"donotstyle_sharp" | Style transfer flavor. | -| `engine` | COMBO | No | "balanced"
"definio"
"illusio"
"3d_cartoon"
"colorful_anime"
"caricature"
"real"
"super_real"
"softy" | Processing engine selection. | -| `portrait_mode` | COMBO | No | "disabled"
"enabled" | Enable portrait mode for facial enhancements. | -| `portrait_style` | COMBO | No | "standard"
"pop"
"super_pop" | Visual style applied to portrait images. This input is only available when `portrait_mode` is set to "enabled". | -| `portrait_beautifier` | COMBO | No | "none"
"beautify_face"
"beautify_face_max" | Facial beautification intensity on portraits. This input is only available when `portrait_mode` is set to "enabled". | -| `fixed_generation` | BOOLEAN | No | - | When disabled, expect each generation to introduce a degree of randomness, leading to more diverse outcomes (default: True). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The image to apply style transfer to. | IMAGE | Yes | - | +| `reference_image` | The reference image to extract style from. | IMAGE | Yes | - | +| `prompt` | An optional text prompt to guide the style transfer. | STRING | No | - | +| `style_strength` | Percentage of style strength (default: 100). | INT | No | 0 to 100 | +| `structure_strength` | Maintains the structure of the original image (default: 50). | INT | No | 0 to 100 | +| `flavor` | Style transfer flavor. | COMBO | No | "faithful"
"gen_z"
"psychedelia"
"detaily"
"clear"
"donotstyle"
"donotstyle_sharp" | +| `engine` | Processing engine selection. | COMBO | No | "balanced"
"definio"
"illusio"
"3d_cartoon"
"colorful_anime"
"caricature"
"real"
"super_real"
"softy" | +| `portrait_mode` | Enable portrait mode for facial enhancements. | COMBO | No | "disabled"
"enabled" | +| `portrait_style` | Visual style applied to portrait images. This input is only available when `portrait_mode` is set to "enabled". | COMBO | No | "standard"
"pop"
"super_pop" | +| `portrait_beautifier` | Facial beautification intensity on portraits. This input is only available when `portrait_mode` is set to "enabled". | COMBO | No | "none"
"beautify_face"
"beautify_face_max" | +| `fixed_generation` | When disabled, expect each generation to introduce a degree of randomness, leading to more diverse outcomes (default: True). | BOOLEAN | No | - | **Constraints:** @@ -34,9 +32,11 @@ This node applies the visual style from a reference image to your input image. I ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The resulting image after style transfer has been applied. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The resulting image after style transfer has been applied. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md) --- **Source fingerprint (SHA-256):** `2a008de2ad1345360c8313da90721c1118b1d7447647a0a9a4676ff71461e142` diff --git a/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx b/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx index 589082062..598e824ee 100644 --- a/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx +++ b/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx @@ -5,24 +5,22 @@ sidebarTitle: "MagnificImageUpscalerCreativeNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md) - This node uses the Magnific AI service to upscale and creatively enhance an image. It allows you to guide the enhancement with a text prompt, choose a specific style to optimize for, and control various aspects of the creative process like detail, resemblance to the original, and stylization strength. The node outputs an upscaled image at your chosen factor (2x, 4x, 8x, or 16x), with a maximum output size of 25.3 megapixels. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be upscaled and enhanced. | -| `prompt` | STRING | No | - | A text description to guide the creative enhancement of the image. This is optional (default: empty). | -| `scale_factor` | COMBO | Yes | `"2x"`
`"4x"`
`"8x"`
`"16x"` | The factor by which to upscale the image's dimensions. | -| `optimized_for` | COMBO | Yes | `"standard"`
`"soft_portraits"`
`"hard_portraits"`
`"art_n_illustration"`
`"videogame_assets"`
`"nature_n_landscapes"`
`"films_n_photography"`
`"3d_renders"`
`"science_fiction_n_horror"` | The style or content type to optimize the enhancement process for. | -| `creativity` | INT | No | -10 to 10 | Controls the level of creative interpretation applied to the image (default: 0). | -| `hdr` | INT | No | -10 to 10 | The level of definition and detail (default: 0). | -| `resemblance` | INT | No | -10 to 10 | The level of resemblance to the original image (default: 0). | -| `fractality` | INT | No | -10 to 10 | The strength of the prompt and intricacy per square pixel (default: 0). | -| `engine` | COMBO | Yes | `"automatic"`
`"magnific_illusio"`
`"magnific_sharpy"`
`"magnific_sparkle"` | The specific AI engine to use for processing. This is an advanced parameter. | -| `auto_downscale` | BOOLEAN | No | - | When enabled, the node will automatically downscale the input image if the requested upscale would exceed the maximum allowed output size of 25.3 megapixels. This is an advanced parameter (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be upscaled and enhanced. | IMAGE | Yes | - | +| `prompt` | A text description to guide the creative enhancement of the image. This is optional (default: empty). | STRING | No | - | +| `scale_factor` | The factor by which to upscale the image's dimensions. | COMBO | Yes | `"2x"`
`"4x"`
`"8x"`
`"16x"` | +| `optimized_for` | The style or content type to optimize the enhancement process for. | COMBO | Yes | `"standard"`
`"soft_portraits"`
`"hard_portraits"`
`"art_n_illustration"`
`"videogame_assets"`
`"nature_n_landscapes"`
`"films_n_photography"`
`"3d_renders"`
`"science_fiction_n_horror"` | +| `creativity` | Controls the level of creative interpretation applied to the image (default: 0). | INT | No | -10 to 10 | +| `hdr` | The level of definition and detail (default: 0). | INT | No | -10 to 10 | +| `resemblance` | The level of resemblance to the original image (default: 0). | INT | No | -10 to 10 | +| `fractality` | The strength of the prompt and intricacy per square pixel (default: 0). | INT | No | -10 to 10 | +| `engine` | The specific AI engine to use for processing. This is an advanced parameter. | COMBO | Yes | `"automatic"`
`"magnific_illusio"`
`"magnific_sharpy"`
`"magnific_sparkle"` | +| `auto_downscale` | When enabled, the node will automatically downscale the input image if the requested upscale would exceed the maximum allowed output size of 25.3 megapixels. This is an advanced parameter (default: False). | BOOLEAN | No | - | **Constraints:** @@ -33,9 +31,11 @@ This node uses the Magnific AI service to upscale and creatively enhance an imag ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The creatively enhanced and upscaled output image. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The creatively enhanced and upscaled output image. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md) --- **Source fingerprint (SHA-256):** `3eb5ce7887ba67a3a49d06820851df90d1c1c73f28ded62288054154bcb2d7e8` diff --git a/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx b/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx index 35d58a5f3..c54b75eaf 100644 --- a/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx +++ b/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx @@ -5,29 +5,29 @@ sidebarTitle: "MagnificImageUpscalerPreciseV2Node" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/en.md) - The Magnific Image Upscale (Precise V2) node performs high-fidelity image upscaling with precise control over sharpness, grain, and detail enhancement. It processes images through an external API, supporting up to a maximum output resolution of 10060×10060 pixels. The node offers different processing styles and can automatically downscale the input if the requested output would exceed the maximum allowed size. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be upscaled. Exactly one image is required. Minimum dimensions are 160x160 pixels. The aspect ratio must be between 1:3 and 3:1. | -| `scale_factor` | STRING | Yes | `"2x"`
`"4x"`
`"8x"`
`"16x"` | The desired upscaling multiplier. | -| `flavor` | STRING | Yes | `"sublime"`
`"photo"`
`"photo_denoiser"` | The processing style. "sublime" is for general use, "photo" is optimized for photographs, and "photo_denoiser" is for noisy photos. | -| `sharpen` | INT | No | 0 to 100 | Controls the intensity of image sharpening to increase edge definition and clarity. Higher values produce a sharper result. Default: 7. | -| `smart_grain` | INT | No | 0 to 100 | Adds intelligent grain or texture enhancement to prevent the upscaled image from looking too smooth or artificial. Default: 7. | -| `ultra_detail` | INT | No | 0 to 100 | Controls the amount of fine detail, textures, and micro-details added during the upscaling process. Default: 30. | -| `auto_downscale` | BOOLEAN | No | - | When enabled, the node will automatically downscale the input image if the calculated output dimensions would exceed the maximum allowed resolution of 10060x10060 pixels. This helps prevent errors but may affect quality. Default: False. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be upscaled. Exactly one image is required. Minimum dimensions are 160x160 pixels. The aspect ratio must be between 1:3 and 3:1. | IMAGE | Yes | - | +| `scale_factor` | The desired upscaling multiplier. | STRING | Yes | `"2x"`
`"4x"`
`"8x"`
`"16x"` | +| `flavor` | The processing style. "sublime" is for general use, "photo" is optimized for photographs, and "photo_denoiser" is for noisy photos. | STRING | Yes | `"sublime"`
`"photo"`
`"photo_denoiser"` | +| `sharpen` | Controls the intensity of image sharpening to increase edge definition and clarity. Higher values produce a sharper result. Default: 7. | INT | No | 0 to 100 | +| `smart_grain` | Adds intelligent grain or texture enhancement to prevent the upscaled image from looking too smooth or artificial. Default: 7. | INT | No | 0 to 100 | +| `ultra_detail` | Controls the amount of fine detail, textures, and micro-details added during the upscaling process. Default: 30. | INT | No | 0 to 100 | +| `auto_downscale` | When enabled, the node will automatically downscale the input image if the calculated output dimensions would exceed the maximum allowed resolution of 10060x10060 pixels. This helps prevent errors but may affect quality. Default: False. | BOOLEAN | No | - | **Note:** If `auto_downscale` is disabled and the requested output size (input dimensions × `scale_factor`) exceeds 10060x10060 pixels, the node will raise an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The resulting upscaled image. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The resulting upscaled image. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/en.md) --- **Source fingerprint (SHA-256):** `83559e99f86398b894c659996bdde48633a49f857a4769127fdf7ab6e80d6b0d` diff --git a/built-in-nodes/Mahiro.mdx b/built-in-nodes/Mahiro.mdx index 97b40a549..298fdffcd 100644 --- a/built-in-nodes/Mahiro.mdx +++ b/built-in-nodes/Mahiro.mdx @@ -5,21 +5,21 @@ sidebarTitle: "Mahiro" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Mahiro/en.md) - The Mahiro node modifies the guidance function to focus more on the direction of the positive prompt rather than the difference between positive and negative prompts. It creates a patched model that applies a custom guidance scaling approach using cosine similarity between normalized conditional and unconditional denoised outputs. This experimental node helps steer the generation more strongly toward the positive prompt's intended direction. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | | The model to be patched with the modified guidance function | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to be patched with the modified guidance function | MODEL | Yes | | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `patched_model` | MODEL | The modified model with the Mahiro guidance function applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `patched_model` | The modified model with the Mahiro guidance function applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Mahiro/en.md) --- **Source fingerprint (SHA-256):** `56f13cd14ffde21ab980850b62e07bdd4db6733a545f9329bf908c6030147981` diff --git a/built-in-nodes/MakeTrainingDataset.mdx b/built-in-nodes/MakeTrainingDataset.mdx index 2e74a59c8..6e15b4d46 100644 --- a/built-in-nodes/MakeTrainingDataset.mdx +++ b/built-in-nodes/MakeTrainingDataset.mdx @@ -5,18 +5,16 @@ sidebarTitle: "MakeTrainingDataset" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MakeTrainingDataset/en.md) - This node prepares data for training by encoding images and text. It takes a list of images and a corresponding list of text captions, then uses a VAE model to convert the images into latent representations and a CLIP model to convert the text into conditioning data. The resulting paired latents and conditioning are output as lists, ready for use in training workflows. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | N/A | List of images to encode. | -| `vae` | VAE | Yes | N/A | VAE model for encoding images to latents. | -| `clip` | CLIP | Yes | N/A | CLIP model for encoding text to conditioning. | -| `texts` | STRING | No | N/A | List of text captions. Can be length n (matching images), 1 (repeated for all), or omitted (uses empty string). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | List of images to encode. | IMAGE | Yes | N/A | +| `vae` | VAE model for encoding images to latents. | VAE | Yes | N/A | +| `clip` | CLIP model for encoding text to conditioning. | CLIP | Yes | N/A | +| `texts` | List of text captions. Can be length n (matching images), 1 (repeated for all), or omitted (uses empty string). | STRING | No | N/A | **Parameter Constraints:** @@ -24,10 +22,12 @@ This node prepares data for training by encoding images and text. It takes a lis ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `latents` | LATENT | List of latent dicts. | -| `conditioning` | CONDITIONING | List of conditioning lists. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `latents` | List of latent dicts. | LATENT | +| `conditioning` | List of conditioning lists. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MakeTrainingDataset/en.md) --- **Source fingerprint (SHA-256):** `72f1686aa9da9d50b1948040c323c7e944d4a5c1f4cd2ec5e0987d998c20ea43` diff --git a/built-in-nodes/ManualSigmas.mdx b/built-in-nodes/ManualSigmas.mdx index f13f21c26..de108bcdd 100644 --- a/built-in-nodes/ManualSigmas.mdx +++ b/built-in-nodes/ManualSigmas.mdx @@ -5,21 +5,21 @@ sidebarTitle: "ManualSigmas" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ManualSigmas/en.md) - The ManualSigmas node allows you to manually define a custom sequence of noise levels (sigmas) for the sampling process. You input a list of numbers as a string, and the node converts them into a tensor that can be used by other sampling nodes. This is useful for testing or creating specific noise schedules. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `sigmas` | STRING | Yes | Any comma or space-separated numbers | A string containing the sigma values. The node will extract all numbers from this string. For example, "1, 0.5, 0.1" or "1 0.5 0.1". The default value is "1, 0.5". | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `sigmas` | A string containing the sigma values. The node will extract all numbers from this string. For example, "1, 0.5, 0.1" or "1 0.5 0.1". The default value is "1, 0.5". | STRING | Yes | Any comma or space-separated numbers | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | The tensor containing the sequence of sigma values extracted from the input string. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sigmas` | The tensor containing the sequence of sigma values extracted from the input string. | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ManualSigmas/en.md) --- **Source fingerprint (SHA-256):** `38fef43da8aa27a9b79584213c3b6cdd003bc47bcaddcf29d549b0b91880ae8d` diff --git a/built-in-nodes/MarkdownNote.mdx b/built-in-nodes/MarkdownNote.mdx index e1597ada5..6b916b113 100644 --- a/built-in-nodes/MarkdownNote.mdx +++ b/built-in-nodes/MarkdownNote.mdx @@ -12,3 +12,5 @@ Node to add annotations to a workflow. It supports text formatting using Markdow ## Outputs The node doesn't have outputs. + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MarkdownNote/en.md) diff --git a/built-in-nodes/MaskComposite.mdx b/built-in-nodes/MaskComposite.mdx index 3248976cc..5f93742f7 100644 --- a/built-in-nodes/MaskComposite.mdx +++ b/built-in-nodes/MaskComposite.mdx @@ -5,21 +5,22 @@ sidebarTitle: "MaskComposite" icon: "circle" mode: wide --- - This node specializes in combining two mask inputs through a variety of operations such as addition, subtraction, and logical operations, to produce a new, modified mask. It abstractly handles the manipulation of mask data to achieve complex masking effects, serving as a crucial component in mask-based image editing and processing workflows. ## Inputs -| Parameter | Data Type | Description | -| ------------ | ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------ | -| `destination`| MASK | The primary mask that will be modified based on the operation with the source mask. It plays a central role in the composite operation, acting as the base for modifications. | -| `source` | MASK | The secondary mask that will be used in conjunction with the destination mask to perform the specified operation, influencing the final output mask. | -| `x` | INT | The horizontal offset at which the source mask will be applied to the destination mask, affecting the positioning of the composite result. | -| `y` | INT | The vertical offset at which the source mask will be applied to the destination mask, affecting the positioning of the composite result. | -| `operation` | COMBO[STRING]| Specifies the type of operation to apply between the destination and source masks, such as 'add', 'subtract', or logical operations, determining the nature of the composite effect. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `destination` | The primary mask that will be modified based on the operation with the source mask. It plays a central role in the composite operation, acting as the base for modifications. | MASK | +| `source` | The secondary mask that will be used in conjunction with the destination mask to perform the specified operation, influencing the final output mask. | MASK | +| `x` | The horizontal offset at which the source mask will be applied to the destination mask, affecting the positioning of the composite result. | INT | +| `y` | The vertical offset at which the source mask will be applied to the destination mask, affecting the positioning of the composite result. | INT | +| `operation` | Specifies the type of operation to apply between the destination and source masks, such as 'add', 'subtract', or logical operations, determining the nature of the composite effect. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -| --------- | ------------ | ---------------------------------------------------------------------------- | -| `mask` | MASK | The resulting mask after applying the specified operation between the destination and source masks, representing the composite outcome. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | The resulting mask after applying the specified operation between the destination and source masks, representing the composite outcome. | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskComposite/en.md) diff --git a/built-in-nodes/MaskPreview.mdx b/built-in-nodes/MaskPreview.mdx index fd3ba1237..e9a6a8906 100644 --- a/built-in-nodes/MaskPreview.mdx +++ b/built-in-nodes/MaskPreview.mdx @@ -5,24 +5,24 @@ sidebarTitle: "MaskPreview" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskPreview/en.md) - The MaskPreview node saves mask data as a preview image to your ComfyUI output directory, allowing you to visually inspect mask data during workflow execution. It converts the input mask into a format suitable for image display and saves it with a configurable filename prefix. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `mask` | MASK | Yes | - | The mask data to be previewed and saved as an image | -| `filename_prefix` | STRING | No | - | Prefix for the output filename (default: "ComfyUI") | -| `prompt` | PROMPT | No | - | Prompt information for metadata (automatically provided) | -| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Additional PNG information for metadata (automatically provided) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `mask` | The mask data to be previewed and saved as an image | MASK | Yes | - | +| `filename_prefix` | Prefix for the output filename (default: "ComfyUI") | STRING | No | - | +| `prompt` | Prompt information for metadata (automatically provided) | PROMPT | No | - | +| `extra_pnginfo` | Additional PNG information for metadata (automatically provided) | EXTRA_PNGINFO | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `ui` | DICT | Contains the preview image information and metadata for display in the UI | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `ui` | Contains the preview image information and metadata for display in the UI | DICT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskPreview/en.md) --- **Source fingerprint (SHA-256):** `c9d9dbc5720ac4c75518c758f2ec3e789b0d3c45431590fb0008573bb9159427` diff --git a/built-in-nodes/MaskToImage.mdx b/built-in-nodes/MaskToImage.mdx index 17f35a87d..eb65fe36a 100644 --- a/built-in-nodes/MaskToImage.mdx +++ b/built-in-nodes/MaskToImage.mdx @@ -5,17 +5,18 @@ sidebarTitle: "MaskToImage" icon: "circle" mode: wide --- - The `MaskToImage` node is designed to convert a mask into an image format. This transformation allows for the visualization and further processing of masks as images, facilitating a bridge between mask-based operations and image-based applications. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `mask` | `MASK` | The mask input is essential for the conversion process, serving as the source data that will be transformed into an image format. This input dictates the shape and content of the resulting image. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | The mask input is essential for the conversion process, serving as the source data that will be transformed into an image format. This input dictates the shape and content of the resulting image. | `MASK` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The output is an image representation of the input mask, enabling visual inspection and further image-based manipulations. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The output is an image representation of the input mask, enabling visual inspection and further image-based manipulations. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskToImage/en.md) diff --git a/built-in-nodes/MediaPipeFaceLandmarker.mdx b/built-in-nodes/MediaPipeFaceLandmarker.mdx index f9c0bb633..70d4980ad 100644 --- a/built-in-nodes/MediaPipeFaceLandmarker.mdx +++ b/built-in-nodes/MediaPipeFaceLandmarker.mdx @@ -5,29 +5,29 @@ sidebarTitle: "MediaPipeFaceLandmarker" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/en.md) - ## Overview Detects faces in an image and identifies 468 facial landmarks (key points) on each face using MediaPipe's BlazeFace and FaceMesh models. It also calculates ARKit-52 blendshape coefficients for facial expression analysis. The node can process multiple images in a batch and outputs both the landmark data and bounding boxes for each detected face. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `face_detection_model` | FACE_DETECTION_MODEL | Yes | | The MediaPipe face detection model to use for landmark detection. | -| `image` | IMAGE | Yes | | The input image or batch of images to detect faces in. | -| `detector_variant` | COMBO | Yes | `"short"`
`"full"`
`"both"` | Face detector range. `"short"` is tuned for close-up faces (within ~2 m of the camera); `"full"` covers farther/smaller faces (up to ~5 m) but is slower. `"both"` runs both detectors and keeps whichever found more faces per frame (~2x detection cost). Default: `"short"`. | -| `num_faces` | INT | Yes | 0 to 16 | Maximum number of faces to return per frame. 0 means no cap (return all detected). Default: 1. | -| `min_confidence` | FLOAT | No | 0.00 to 1.00 | BlazeFace score threshold. Lower values help catch small or occluded faces. Default: 0.5. | -| `missing_frame_fallback` | COMBO | No | `"empty"`
`"previous"`
`"interpolate"` | Per-frame behavior when detection fails in a batch. `"empty"` leaves the frame faceless. `"previous"` copies the most recent successful detection. `"interpolate"` lerps landmarks/bbox/blendshapes between bracketing successful frames. Multi-face: pairs faces across frames by greedy bbox-centre NN. Default: `"empty"`. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `face_detection_model` | The MediaPipe face detection model to use for landmark detection. | FACE_DETECTION_MODEL | Yes | | +| `image` | The input image or batch of images to detect faces in. | IMAGE | Yes | | +| `detector_variant` | Face detector range. `"short"` is tuned for close-up faces (within ~2 m of the camera); `"full"` covers farther/smaller faces (up to ~5 m) but is slower. `"both"` runs both detectors and keeps whichever found more faces per frame (~2x detection cost). Default: `"short"`. | COMBO | Yes | `"short"`
`"full"`
`"both"` | +| `num_faces` | Maximum number of faces to return per frame. 0 means no cap (return all detected). Default: 1. | INT | Yes | 0 to 16 | +| `min_confidence` | BlazeFace score threshold. Lower values help catch small or occluded faces. Default: 0.5. | FLOAT | No | 0.00 to 1.00 | +| `missing_frame_fallback` | Per-frame behavior when detection fails in a batch. `"empty"` leaves the frame faceless. `"previous"` copies the most recent successful detection. `"interpolate"` lerps landmarks/bbox/blendshapes between bracketing successful frames. Multi-face: pairs faces across frames by greedy bbox-centre NN. Default: `"empty"`. | COMBO | No | `"empty"`
`"previous"`
`"interpolate"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `face_landmarks` | FACE_LANDMARKS | A structured output containing per-frame face detection results, including 468 facial landmarks, ARKit-52 blendshape coefficients, transformation matrices, and connection sets for mesh visualization. | -| `bboxes` | BOUNDING_BOX | A list of bounding boxes for each detected face, with coordinates (x, y, width, height), label "face", and confidence score. One list per input frame. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `face_landmarks` | A structured output containing per-frame face detection results, including 468 facial landmarks, ARKit-52 blendshape coefficients, transformation matrices, and connection sets for mesh visualization. | FACE_LANDMARKS | +| `bboxes` | A list of bounding boxes for each detected face, with coordinates (x, y, width, height), label "face", and confidence score. One list per input frame. | BOUNDING_BOX | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/en.md) --- **Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba` diff --git a/built-in-nodes/MediaPipeFaceMask.mdx b/built-in-nodes/MediaPipeFaceMask.mdx index 64c9b9556..37d01e968 100644 --- a/built-in-nodes/MediaPipeFaceMask.mdx +++ b/built-in-nodes/MediaPipeFaceMask.mdx @@ -5,35 +5,35 @@ sidebarTitle: "MediaPipeFaceMask" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/en.md) - ## Overview This node creates a binary mask (a black and white image) based on face landmarks detected by MediaPipe. It draws filled polygon shapes for each detected face region, producing one mask per frame in a batch. When multiple faces are detected in the same frame, their masks are combined into a single mask. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `face_landmarks` | FACE_LANDMARKS | Yes | - | The face landmarks data from a MediaPipe face detection node. | -| `regions` | COMBO | Yes | `"all"`
`"custom"` | Selects which facial regions to include in the mask. `"all"` creates a mask from the union of all face regions (face oval, lips, eyes, irises). `"custom"` allows you to toggle each region individually. Default: `"all"` | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `face_landmarks` | The face landmarks data from a MediaPipe face detection node. | FACE_LANDMARKS | Yes | - | +| `regions` | Selects which facial regions to include in the mask. `"all"` creates a mask from the union of all face regions (face oval, lips, eyes, irises). `"custom"` allows you to toggle each region individually. Default: `"all"` | COMBO | Yes | `"all"`
`"custom"` | When `regions` is set to `"custom"`, the following additional boolean parameters become available: -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `face_oval` | BOOLEAN | No | True/False | Include the face oval region in the mask. Default: True | -| `lips` | BOOLEAN | No | True/False | Include the lips region in the mask. Default: True | -| `eyes` | BOOLEAN | No | True/False | Include the eyes region in the mask. Default: True | -| `irises` | BOOLEAN | No | True/False | Include the irises region in the mask. Default: True | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `face_oval` | Include the face oval region in the mask. Default: True | BOOLEAN | No | True/False | +| `lips` | Include the lips region in the mask. Default: True | BOOLEAN | No | True/False | +| `eyes` | Include the eyes region in the mask. Default: True | BOOLEAN | No | True/False | +| `irises` | Include the irises region in the mask. Default: True | BOOLEAN | No | True/False | **Note:** When using `"all"` mode, the mask includes all regions combined. Since the face oval encloses the other regions, selecting `"all"` effectively produces the same result as selecting only the face oval. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MASK` | MASK | A binary mask tensor where face regions are white (value 1.0) and background is black (value 0.0). The mask has the same dimensions as the input image and contains one mask per frame in the batch. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MASK` | A binary mask tensor where face regions are white (value 1.0) and background is black (value 0.0). The mask has the same dimensions as the input image and contains one mask per frame in the batch. | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/en.md) --- **Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66` diff --git a/built-in-nodes/MediaPipeFaceMeshVisualize.mdx b/built-in-nodes/MediaPipeFaceMeshVisualize.mdx index f41271f14..03d3c6cfc 100644 --- a/built-in-nodes/MediaPipeFaceMeshVisualize.mdx +++ b/built-in-nodes/MediaPipeFaceMeshVisualize.mdx @@ -5,30 +5,30 @@ sidebarTitle: "MediaPipeFaceMeshVisualize" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/en.md) - ## Overview Draws face landmark points and connection lines (a face mesh) on top of an input image. This node uses the landmark data produced by a face detection node to visualize the detected facial features, such as the eyes, nose, mouth, and face outline. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `face_landmarks` | FACE_LANDMARKS | Yes | | The face landmark data from a detection node. | -| `image` | IMAGE | No | | The image to draw the mesh on. If not connected, a black canvas of the same size as the detection result will be used. | -| `connections` | COMBO | Yes | `"all"`
`"fill"`
`"custom"` | Determines which parts of the face mesh to draw. `"all"` draws the full mesh (oval, eyes, brows, lips, irises, nose). `"fill"` draws a solid polygon of the face oval (silhouette mask). `"custom"` lets you toggle each feature individually. (default: `"all"`) | -| `color` | COLOR | Yes | | The color of the mesh lines and points. (default: `#00ff00`) | -| `thickness` | INT | Yes | 0 to 8 | The thickness of the mesh lines in pixels. Setting this to 0 disables line drawing. (default: 1) | -| `point_size` | INT | Yes | 0 to 16 | The radius of the landmark dots in pixels. Setting this to 0 disables dot drawing. (default: 2) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `face_landmarks` | The face landmark data from a detection node. | FACE_LANDMARKS | Yes | | +| `image` | The image to draw the mesh on. If not connected, a black canvas of the same size as the detection result will be used. | IMAGE | No | | +| `connections` | Determines which parts of the face mesh to draw. `"all"` draws the full mesh (oval, eyes, brows, lips, irises, nose). `"fill"` draws a solid polygon of the face oval (silhouette mask). `"custom"` lets you toggle each feature individually. (default: `"all"`) | COMBO | Yes | `"all"`
`"fill"`
`"custom"` | +| `color` | The color of the mesh lines and points. (default: `#00ff00`) | COLOR | Yes | | +| `thickness` | The thickness of the mesh lines in pixels. Setting this to 0 disables line drawing. (default: 1) | INT | Yes | 0 to 8 | +| `point_size` | The radius of the landmark dots in pixels. Setting this to 0 disables dot drawing. (default: 2) | INT | Yes | 0 to 16 | **Note on `connections` parameter:** When `"custom"` is selected, additional boolean inputs appear for each facial feature (e.g., `face_oval`, `lips`, `left_eye`, `right_eye`, `left_eyebrow`, `right_eyebrow`, `left_iris`, `right_iris`, `nose`, `tesselation`). Only the features you enable will be drawn. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The input image with the face landmarks mesh drawn on it. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The input image with the face landmarks mesh drawn on it. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/en.md) --- **Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243` diff --git a/built-in-nodes/MergeImageLists.mdx b/built-in-nodes/MergeImageLists.mdx index 4bc0d4af4..e6718b52c 100644 --- a/built-in-nodes/MergeImageLists.mdx +++ b/built-in-nodes/MergeImageLists.mdx @@ -5,25 +5,25 @@ sidebarTitle: "MergeImageLists" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeImageLists/en.md) - The Merge Image Lists node combines multiple separate lists of images into a single, continuous list. It works by taking all the images from each connected input and appending them together in the order they are received. This is useful for organizing or batching images from different sources for further processing. **Note:** This node is deprecated and superseded by the Create List node. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | - | A list of images to be merged. This input can accept multiple connections, and each connected list will be concatenated into the final output. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | A list of images to be merged. This input can accept multiple connections, and each connected list will be concatenated into the final output. | IMAGE | Yes | - | **Note:** This node is designed to receive multiple inputs. You can connect several image lists to the single `images` input socket. The node will automatically concatenate all images from all connected lists into one output list. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `images` | IMAGE | The single, merged list containing all images from every connected input list. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `images` | The single, merged list containing all images from every connected input list. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeImageLists/en.md) --- **Source fingerprint (SHA-256):** `0c9e302b02694a6a23fc7776c872856b1a629df3efe914a3e591a89d5a28914a` diff --git a/built-in-nodes/MergeSplat.mdx b/built-in-nodes/MergeSplat.mdx new file mode 100644 index 000000000..b02e0cd01 --- /dev/null +++ b/built-in-nodes/MergeSplat.mdx @@ -0,0 +1,33 @@ +--- +title: "MergeSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MergeSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MergeSplat" +icon: "circle" +mode: wide +--- +# Merge Splats + +The Merge Splats node combines multiple gaussian splat models into a single splat by concatenating their data. This is useful for merging several decodes of the same latent generated with different seeds, which can densify the surface and improve quality when creating 3D meshes. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `splat0` | First gaussian splat to merge | SPLAT | Yes | At least 1 splat required | +| `splat1` | Second gaussian splat to merge | SPLAT | Yes | At least 1 splat required | +| `splat2` | Additional gaussian splat to merge (optional) | SPLAT | No | Up to 32 splats total | +| `splat3` | Additional gaussian splat to merge (optional) | SPLAT | No | Up to 32 splats total | +| ... | Additional splats (up to splat31) | SPLAT | No | Up to 32 splats total | + +**Note:** The input list automatically grows new slots as you connect splats. You must connect at least one splat. The node accepts a minimum of 2 and maximum of 32 splats. + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `splat` | The merged gaussian splat containing all input splats concatenated together | SPLAT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeSplat/en.md) + +--- +**Source fingerprint (SHA-256):** `597671a3c37d1a4fb7b5a772396e08b7041b3fe8f04120891b1382d42e409d26` diff --git a/built-in-nodes/MergeTextLists.mdx b/built-in-nodes/MergeTextLists.mdx index e1782da77..bf09c0f6c 100644 --- a/built-in-nodes/MergeTextLists.mdx +++ b/built-in-nodes/MergeTextLists.mdx @@ -5,15 +5,13 @@ sidebarTitle: "MergeTextLists" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeTextLists/en.md) - This node merges multiple text lists into a single, combined list. It is designed to receive text inputs as lists and concatenates them together. The node logs the total number of texts in the merged list. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `texts` | STRING | Yes | N/A | The text lists to be merged. Multiple lists can be connected to the input, and they will be concatenated into one. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `texts` | The text lists to be merged. Multiple lists can be connected to the input, and they will be concatenated into one. | STRING | Yes | N/A | **Note:** This node is configured as a group process (`is_group_process = True`), meaning it automatically handles multiple list inputs by concatenating them before the main processing function runs. @@ -21,9 +19,11 @@ This node merges multiple text lists into a single, combined list. It is designe ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `texts` | STRING | The single, merged list containing all the input texts. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `texts` | The single, merged list containing all the input texts. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeTextLists/en.md) --- **Source fingerprint (SHA-256):** `bb7f45725c2c41a18d8cd3040d093c11be2ceb03cf1849385aa55d12fd9eb555` diff --git a/built-in-nodes/MeshyAnimateModelNode.mdx b/built-in-nodes/MeshyAnimateModelNode.mdx index d9b6528f6..7859b7ae8 100644 --- a/built-in-nodes/MeshyAnimateModelNode.mdx +++ b/built-in-nodes/MeshyAnimateModelNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "MeshyAnimateModelNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md) - This node applies a specific animation to a 3D character model that has already been rigged using the Meshy service. It takes a task ID from a previous rigging operation and an action ID to select the desired animation from the library. The node then processes the request and returns the animated model in both GLB and FBX file formats. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `rig_task_id` | STRING | Yes | N/A | The unique task ID from a previously completed Meshy character rigging operation. | -| `action_id` | INT | Yes | 0 to 696 | The ID number of the animation action to apply. Visit https://docs.meshy.ai/en/api/animation-library for a list of available values. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `rig_task_id` | The unique task ID from a previously completed Meshy character rigging operation. | STRING | Yes | N/A | +| `action_id` | The ID number of the animation action to apply. Visit https://docs.meshy.ai/en/api/animation-library for a list of available values. (default: 0) | INT | Yes | 0 to 696 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | A string identifier for the animated model. This output is provided for backward compatibility only. | -| `GLB` | FILE3DGLB | The animated 3D model file in GLB format. | -| `FBX` | FILE3DFBX | The animated 3D model file in FBX format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | A string identifier for the animated model. This output is provided for backward compatibility only. | STRING | +| `GLB` | The animated 3D model file in GLB format. | FILE3DGLB | +| `FBX` | The animated 3D model file in FBX format. | FILE3DFBX | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md) --- **Source fingerprint (SHA-256):** `0af4e96d031025fdb5e11d6dd35e408b61dcdd4ca64f88464a6510426485dac2` diff --git a/built-in-nodes/MeshyImageToModelNode.mdx b/built-in-nodes/MeshyImageToModelNode.mdx index 76a651c5e..2092e1586 100644 --- a/built-in-nodes/MeshyImageToModelNode.mdx +++ b/built-in-nodes/MeshyImageToModelNode.mdx @@ -5,26 +5,24 @@ sidebarTitle: "MeshyImageToModelNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyImageToModelNode/en.md) - The Meshy: Image to Model node uses the Meshy API to generate a 3D model from a single input image. It uploads your image, submits a processing task, and returns the generated 3D model files (GLB and FBX) along with the task ID for reference. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"latest"` | Specifies the AI model version to use for generation. | -| `image` | IMAGE | Yes | - | The input image to convert into a 3D model. | -| `should_remesh` | DYNAMIC COMBO | Yes | `"true"`
`"false"` | Determines if the generated mesh should be processed. When set to `"false"`, the node returns an unprocessed triangular mesh. | -| `topology` | COMBO | No* | `"triangle"`
`"quad"` | The target polygon topology for the remeshed model. This input is only available when `should_remesh` is set to `"true"`. | -| `target_polycount` | INT | No* | 100 - 300000 | The target number of polygons for the remeshed model. This input is only available when `should_remesh` is set to `"true"`. The default value is 300000. | -| `symmetry_mode` | COMBO | Yes | `"auto"`
`"on"`
`"off"` | Controls the symmetry applied to the generated 3D model. | -| `should_texture` | DYNAMIC COMBO | Yes | `"true"`
`"false"` | Determines whether textures are generated for the model. Setting it to `"false"` skips the texture phase and returns a mesh without textures. | -| `enable_pbr` | BOOLEAN | No* | - | When `should_texture` is `"true"`, this option generates PBR maps (metallic, roughness, normal) in addition to the base color. The default value is `False`. | -| `texture_prompt` | STRING | No* | - | A text prompt to guide the texturing process (maximum 600 characters). This input is only available when `should_texture` is `"true"`. It cannot be used at the same time as `texture_image`. | -| `texture_image` | IMAGE | No* | - | An image to guide the texturing process. This input is only available when `should_texture` is `"true"`. It cannot be used at the same time as `texture_prompt`. | -| `pose_mode` | COMBO | Yes | `""` (empty)
`"A-pose"`
`"T-pose"` | Specifies the pose mode for the generated model. This is an advanced parameter. | -| `seed` | INT | Yes | 0 - 2147483647 | A seed value for the generation process. The results are non-deterministic regardless of the seed value. The default value is 0. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Specifies the AI model version to use for generation. | COMBO | Yes | `"latest"` | +| `image` | The input image to convert into a 3D model. | IMAGE | Yes | - | +| `should_remesh` | Determines if the generated mesh should be processed. When set to `"false"`, the node returns an unprocessed triangular mesh. | DYNAMIC COMBO | Yes | `"true"`
`"false"` | +| `topology` | The target polygon topology for the remeshed model. This input is only available when `should_remesh` is set to `"true"`. | COMBO | No* | `"triangle"`
`"quad"` | +| `target_polycount` | The target number of polygons for the remeshed model. This input is only available when `should_remesh` is set to `"true"`. The default value is 300000. | INT | No* | 100 - 300000 | +| `symmetry_mode` | Controls the symmetry applied to the generated 3D model. | COMBO | Yes | `"auto"`
`"on"`
`"off"` | +| `should_texture` | Determines whether textures are generated for the model. Setting it to `"false"` skips the texture phase and returns a mesh without textures. | DYNAMIC COMBO | Yes | `"true"`
`"false"` | +| `enable_pbr` | When `should_texture` is `"true"`, this option generates PBR maps (metallic, roughness, normal) in addition to the base color. The default value is `False`. | BOOLEAN | No* | - | +| `texture_prompt` | A text prompt to guide the texturing process (maximum 600 characters). This input is only available when `should_texture` is `"true"`. It cannot be used at the same time as `texture_image`. | STRING | No* | - | +| `texture_image` | An image to guide the texturing process. This input is only available when `should_texture` is `"true"`. It cannot be used at the same time as `texture_prompt`. | IMAGE | No* | - | +| `pose_mode` | Specifies the pose mode for the generated model. This is an advanced parameter. | COMBO | Yes | `""` (empty)
`"A-pose"`
`"T-pose"` | +| `seed` | A seed value for the generation process. The results are non-deterministic regardless of the seed value. The default value is 0. | INT | Yes | 0 - 2147483647 | **Note on Parameter Constraints:** @@ -34,12 +32,14 @@ The Meshy: Image to Model node uses the Meshy API to generate a 3D model from a ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | The filename of the generated GLB model. (Maintained for backward compatibility). | -| `meshy_task_id` | MESHY_TASK_ID | The unique identifier for the Meshy API task, which can be used for reference or troubleshooting. | -| `GLB` | FILE3DGLB | The generated 3D model in the GLB file format. | -| `FBX` | FILE3DFBX | The generated 3D model in the FBX file format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The filename of the generated GLB model. (Maintained for backward compatibility). | STRING | +| `meshy_task_id` | The unique identifier for the Meshy API task, which can be used for reference or troubleshooting. | MESHY_TASK_ID | +| `GLB` | The generated 3D model in the GLB file format. | FILE3DGLB | +| `FBX` | The generated 3D model in the FBX file format. | FILE3DFBX | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyImageToModelNode/en.md) --- **Source fingerprint (SHA-256):** `87825d9d78ccfb1efdf07da0e9c8cfca39a8446dd99d346c732e4d1470194205` diff --git a/built-in-nodes/MeshyMultiImageToModelNode.mdx b/built-in-nodes/MeshyMultiImageToModelNode.mdx index 5922192e1..52b4fed43 100644 --- a/built-in-nodes/MeshyMultiImageToModelNode.mdx +++ b/built-in-nodes/MeshyMultiImageToModelNode.mdx @@ -5,26 +5,24 @@ sidebarTitle: "MeshyMultiImageToModelNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/en.md) - This node uses the Meshy API to generate a 3D model from multiple input images. It uploads the provided images, submits a processing task, and returns the resulting 3D model files (GLB and FBX) along with the task ID for reference. ## Inputs -| Parameter | Data Type | Required | Range | Description | -| :--- | :--- | :--- | :--- | :--- | -| `model` | COMBO | Yes | `"latest"` | Specifies the AI model version to use. | -| `images` | IMAGE | Yes | 2 to 4 images | A set of images used to generate the 3D model. You must provide between 2 and 4 images. | -| `should_remesh` | COMBO | Yes | `"true"`
`"false"` | Determines if the generated mesh should be processed. When set to `"false"`, the node returns an unprocessed triangular mesh. | -| `topology` | COMBO | No | `"triangle"`
`"quad"` | The target polygon type for the remeshed output. This parameter is only available and required when `should_remesh` is set to `"true"`. | -| `target_polycount` | INT | No | 100 to 300000 | The target number of polygons for the remeshed model (default: 300000). This parameter is only available when `should_remesh` is set to `"true"`. | -| `symmetry_mode` | COMBO | Yes | `"auto"`
`"on"`
`"off"` | Controls whether symmetry is applied to the generated model. | -| `should_texture` | COMBO | Yes | `"true"`
`"false"` | Determines whether textures are generated. Setting it to `"false"` skips the texture phase and returns a mesh without textures. | -| `enable_pbr` | BOOLEAN | No | True / False | When `should_texture` is `"true"`, this option generates PBR Maps (metallic, roughness, normal) in addition to the base color (default: False). | -| `texture_prompt` | STRING | No | - | A text prompt to guide the texturing process (maximum 600 characters). Cannot be used at the same time as `texture_image`. This parameter is only available when `should_texture` is set to `"true"`. | -| `texture_image` | IMAGE | No | - | An image to guide the texturing process. Only one of `texture_image` or `texture_prompt` may be used at the same time. This parameter is only available when `should_texture` is set to `"true"`. | -| `pose_mode` | COMBO | Yes | `""` (empty)
`"A-pose"`
`"T-pose"` | Specifies the pose mode for the generated model. | -| `seed` | INT | Yes | 0 to 2147483647 | A seed value for the generation process (default: 0). Results are non-deterministic regardless of the seed, but changing the seed can trigger the node to re-run. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Specifies the AI model version to use. | COMBO | Yes | `"latest"` | +| `images` | A set of images used to generate the 3D model. You must provide between 2 and 4 images. | IMAGE | Yes | 2 to 4 images | +| `should_remesh` | Determines if the generated mesh should be processed. When set to `"false"`, the node returns an unprocessed triangular mesh. | COMBO | Yes | `"true"`
`"false"` | +| `topology` | The target polygon type for the remeshed output. This parameter is only available and required when `should_remesh` is set to `"true"`. | COMBO | No | `"triangle"`
`"quad"` | +| `target_polycount` | The target number of polygons for the remeshed model (default: 300000). This parameter is only available when `should_remesh` is set to `"true"`. | INT | No | 100 to 300000 | +| `symmetry_mode` | Controls whether symmetry is applied to the generated model. | COMBO | Yes | `"auto"`
`"on"`
`"off"` | +| `should_texture` | Determines whether textures are generated. Setting it to `"false"` skips the texture phase and returns a mesh without textures. | COMBO | Yes | `"true"`
`"false"` | +| `enable_pbr` | When `should_texture` is `"true"`, this option generates PBR Maps (metallic, roughness, normal) in addition to the base color (default: False). | BOOLEAN | No | True / False | +| `texture_prompt` | A text prompt to guide the texturing process (maximum 600 characters). Cannot be used at the same time as `texture_image`. This parameter is only available when `should_texture` is set to `"true"`. | STRING | No | - | +| `texture_image` | An image to guide the texturing process. Only one of `texture_image` or `texture_prompt` may be used at the same time. This parameter is only available when `should_texture` is set to `"true"`. | IMAGE | No | - | +| `pose_mode` | Specifies the pose mode for the generated model. | COMBO | Yes | `""` (empty)
`"A-pose"`
`"T-pose"` | +| `seed` | A seed value for the generation process (default: 0). Results are non-deterministic regardless of the seed, but changing the seed can trigger the node to re-run. | INT | Yes | 0 to 2147483647 | **Parameter Constraints:** @@ -35,12 +33,14 @@ This node uses the Meshy API to generate a 3D model from multiple input images. ## Outputs -| Output Name | Data Type | Description | -| :--- | :--- | :--- | -| `model_file` | STRING | The filename of the generated GLB model. This output is provided for backward compatibility. | -| `meshy_task_id` | MESHY_TASK_ID | The unique identifier for the Meshy API task. | -| `GLB` | FILE3DGLB | The generated 3D model in GLB format. | -| `FBX` | FILE3DFBX | The generated 3D model in FBX format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The filename of the generated GLB model. This output is provided for backward compatibility. | STRING | +| `meshy_task_id` | The unique identifier for the Meshy API task. | MESHY_TASK_ID | +| `GLB` | The generated 3D model in GLB format. | FILE3DGLB | +| `FBX` | The generated 3D model in FBX format. | FILE3DFBX | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/en.md) --- **Source fingerprint (SHA-256):** `7118368e2d9c1a7df9866d19a033c6e2efd632381624a9ee537552502185d444` diff --git a/built-in-nodes/MeshyRefineNode.mdx b/built-in-nodes/MeshyRefineNode.mdx index 3aa8fd845..75e71ec42 100644 --- a/built-in-nodes/MeshyRefineNode.mdx +++ b/built-in-nodes/MeshyRefineNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "MeshyRefineNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRefineNode/en.md) - The Meshy: Refine Draft Model node takes a previously generated 3D draft model and improves its quality, optionally adding textures. It submits a refinement task to the Meshy API and returns the final 3D model files once processing is complete. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"latest"` | Specifies the AI model to use for refinement. Currently, only the "latest" model is available. | -| `meshy_task_id` | MESHY_TASK_ID | Yes | - | The unique task ID of the draft model you want to refine. | -| `enable_pbr` | BOOLEAN | No | - | Generate PBR Maps (metallic, roughness, normal) in addition to the base color. Note: this should be set to false when using Sculpture style, as Sculpture style generates its own set of PBR maps. (default: `False`) | -| `texture_prompt` | STRING | No | - | Provide a text prompt to guide the texturing process. Maximum 600 characters. Cannot be used at the same time as `texture_image`. (default: empty string) | -| `texture_image` | IMAGE | No | - | Only one of `texture_image` or `texture_prompt` may be used at the same time. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Specifies the AI model to use for refinement. Currently, only the "latest" model is available. | COMBO | Yes | `"latest"` | +| `meshy_task_id` | The unique task ID of the draft model you want to refine. | MESHY_TASK_ID | Yes | - | +| `enable_pbr` | Generate PBR Maps (metallic, roughness, normal) in addition to the base color. Note: this should be set to false when using Sculpture style, as Sculpture style generates its own set of PBR maps. (default: `False`) | BOOLEAN | No | - | +| `texture_prompt` | Provide a text prompt to guide the texturing process. Maximum 600 characters. Cannot be used at the same time as `texture_image`. (default: empty string) | STRING | No | - | +| `texture_image` | Only one of `texture_image` or `texture_prompt` may be used at the same time. | IMAGE | No | - | **Note:** The `texture_prompt` and `texture_image` inputs are mutually exclusive. You cannot provide both a text prompt and an image for texturing in the same operation. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | The filename of the generated GLB model. (For backward compatibility only) | -| `meshy_task_id` | MESHY_TASK_ID | The unique task ID for the submitted refinement job. | -| `GLB` | FILE3DGLB | The final refined 3D model in GLB format. | -| `FBX` | FILE3DFBX | The final refined 3D model in FBX format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The filename of the generated GLB model. (For backward compatibility only) | STRING | +| `meshy_task_id` | The unique task ID for the submitted refinement job. | MESHY_TASK_ID | +| `GLB` | The final refined 3D model in GLB format. | FILE3DGLB | +| `FBX` | The final refined 3D model in FBX format. | FILE3DFBX | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRefineNode/en.md) --- **Source fingerprint (SHA-256):** `b1cfdeb12d1f79c4c18f96b4f8a92de227210e369b22356fe7232e025956696e` diff --git a/built-in-nodes/MeshyRigModelNode.mdx b/built-in-nodes/MeshyRigModelNode.mdx index 92f44ba39..0ff5188ac 100644 --- a/built-in-nodes/MeshyRigModelNode.mdx +++ b/built-in-nodes/MeshyRigModelNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "MeshyRigModelNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md) - The Meshy: Rig Model node takes a 3D model from a previous Meshy task and automatically creates a skeleton for it, producing a rigged character that can be posed and animated. The node outputs the rigged model in both GLB and FBX file formats. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `meshy_task_id` | STRING | Yes | N/A | The unique task ID from a previous Meshy operation (e.g., text-to-3D or image-to-3D) that generated the model to be rigged. | -| `height_meters` | FLOAT | Yes | 0.1 to 15.0 | The approximate height of the character model in meters. This aids in scaling and rigging accuracy (default: 1.7). | -| `texture_image` | IMAGE | No | N/A | The model's UV-unwrapped base color texture image. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `meshy_task_id` | The unique task ID from a previous Meshy operation (e.g., text-to-3D or image-to-3D) that generated the model to be rigged. | STRING | Yes | N/A | +| `height_meters` | The approximate height of the character model in meters. This aids in scaling and rigging accuracy (default: 1.7). | FLOAT | Yes | 0.1 to 15.0 | +| `texture_image` | The model's UV-unwrapped base color texture image. | IMAGE | No | N/A | **Note:** The auto-rigging process is currently not suitable for untextured meshes, non-humanoid assets, or humanoid assets with unclear limb and body structure. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | A legacy output for backward compatibility, containing the filename of the GLB model. | -| `rig_task_id` | STRING | The unique task ID for this rigging operation, which can be used to reference the result. | -| `GLB` | FILE3DGLB | The rigged 3D character model saved in the GLB file format. | -| `FBX` | FILE3DFBX | The rigged 3D character model saved in the FBX file format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | A legacy output for backward compatibility, containing the filename of the GLB model. | STRING | +| `rig_task_id` | The unique task ID for this rigging operation, which can be used to reference the result. | STRING | +| `GLB` | The rigged 3D character model saved in the GLB file format. | FILE3DGLB | +| `FBX` | The rigged 3D character model saved in the FBX file format. | FILE3DFBX | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md) --- **Source fingerprint (SHA-256):** `de47454600293b647fd6e244ad7e53de66169bb0d2b65df517a85bc6bc3ee6e0` diff --git a/built-in-nodes/MeshyTextToModelNode.mdx b/built-in-nodes/MeshyTextToModelNode.mdx index d430e049b..3450d0157 100644 --- a/built-in-nodes/MeshyTextToModelNode.mdx +++ b/built-in-nodes/MeshyTextToModelNode.mdx @@ -5,34 +5,34 @@ sidebarTitle: "MeshyTextToModelNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextToModelNode/en.md) - The Meshy: Text to Model node uses the Meshy API to generate a 3D model from a text description. It sends a request to the API with your prompt and settings, then waits for the generation to complete and downloads the resulting model files. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"latest"` | Specifies the AI model version to use. Currently, only the "latest" version is available. | -| `prompt` | STRING | Yes | - | The text description of the 3D model you want to generate. Must be between 1 and 600 characters long. | -| `style` | COMBO | Yes | `"realistic"`
`"sculpture"` | The artistic style for the generated 3D model. | -| `should_remesh` | DYNAMIC COMBO | Yes | `"true"`
`"false"` | Controls whether the generated mesh is processed. When set to "false", the node returns an unprocessed triangular mesh. Selecting "true" reveals additional parameters for topology and polycount. | -| `topology` | COMBO | No* | `"triangle"`
`"quad"` | The target polygon type for the remeshed model. This parameter is only available and required when `should_remesh` is set to "true". | -| `target_polycount` | INT | No* | 100 - 300000 | The target number of polygons for the remeshed model. Default is 300000. This parameter is only available and required when `should_remesh` is set to "true". | -| `symmetry_mode` | COMBO | Yes | `"auto"`
`"on"`
`"off"` | Controls symmetry in the generated model. | -| `pose_mode` | COMBO | Yes | `""`
`"A-pose"`
`"T-pose"` | Specifies the pose mode for the generated model. An empty string means no specific pose is requested. | -| `seed` | INT | Yes | 0 - 2147483647 | A seed value for generation. Setting this controls whether the node should re-run, but results are non-deterministic regardless of the seed value. Default is 0. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Specifies the AI model version to use. Currently, only the "latest" version is available. | COMBO | Yes | `"latest"` | +| `prompt` | The text description of the 3D model you want to generate. Must be between 1 and 600 characters long. | STRING | Yes | - | +| `style` | The artistic style for the generated 3D model. | COMBO | Yes | `"realistic"`
`"sculpture"` | +| `should_remesh` | Controls whether the generated mesh is processed. When set to "false", the node returns an unprocessed triangular mesh. Selecting "true" reveals additional parameters for topology and polycount. | DYNAMIC COMBO | Yes | `"true"`
`"false"` | +| `topology` | The target polygon type for the remeshed model. This parameter is only available and required when `should_remesh` is set to "true". | COMBO | No* | `"triangle"`
`"quad"` | +| `target_polycount` | The target number of polygons for the remeshed model. Default is 300000. This parameter is only available and required when `should_remesh` is set to "true". | INT | No* | 100 - 300000 | +| `symmetry_mode` | Controls symmetry in the generated model. | COMBO | Yes | `"auto"`
`"on"`
`"off"` | +| `pose_mode` | Specifies the pose mode for the generated model. An empty string means no specific pose is requested. | COMBO | Yes | `""`
`"A-pose"`
`"T-pose"` | +| `seed` | A seed value for generation. Setting this controls whether the node should re-run, but results are non-deterministic regardless of the seed value. Default is 0. | INT | Yes | 0 - 2147483647 | *Note: The `topology` and `target_polycount` parameters are conditionally required. They only appear and must be set when the `should_remesh` parameter is set to "true". ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | The filename of the generated GLB model. This output is provided for backward compatibility. | -| `meshy_task_id` | MESHY_TASK_ID | The unique identifier for the Meshy API task. | -| `GLB` | FILE3DGLB | The generated 3D model file in GLB format. | -| `FBX` | FILE3DFBX | The generated 3D model file in FBX format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The filename of the generated GLB model. This output is provided for backward compatibility. | STRING | +| `meshy_task_id` | The unique identifier for the Meshy API task. | MESHY_TASK_ID | +| `GLB` | The generated 3D model file in GLB format. | FILE3DGLB | +| `FBX` | The generated 3D model file in FBX format. | FILE3DFBX | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextToModelNode/en.md) --- **Source fingerprint (SHA-256):** `4b02709a29d3df85e0ab1741b46d3ac74b0fe04135afa435f882b5a02114cc97` diff --git a/built-in-nodes/MeshyTextureNode.mdx b/built-in-nodes/MeshyTextureNode.mdx index fb03f3707..e5a830a2a 100644 --- a/built-in-nodes/MeshyTextureNode.mdx +++ b/built-in-nodes/MeshyTextureNode.mdx @@ -5,20 +5,18 @@ sidebarTitle: "MeshyTextureNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextureNode/en.md) - The Meshy: Texture Node applies AI-generated textures to a 3D model. It takes a task ID from a previous Meshy 3D generation or conversion node and uses either a text description or a reference image to create new textures for the model. The node outputs the textured model in GLB and FBX file formats. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"latest"` | The AI model version to use for texturing. Currently, only the "latest" version is available. | -| `meshy_task_id` | MESHY_TASK_ID | Yes | - | The unique identifier (task ID) from a previous Meshy 3D generation or conversion task. This provides the base 3D model to be textured. | -| `enable_original_uv` | BOOLEAN | No | - | Use the original UV of the model instead of generating new UVs. When enabled (default: `True`), Meshy preserves existing textures from the uploaded model. If the model has no original UV, the quality of the output might not be as good. | -| `pbr` | BOOLEAN | No | - | Enables Physically Based Rendering (PBR) material output for the textured model (default: `False`). | -| `text_style_prompt` | STRING | No | - | Describe your desired texture style of the object using text. Maximum 600 characters. Cannot be used at the same time as `image_style`. | -| `image_style` | IMAGE | No | - | A 2D image to guide the texturing process. Cannot be used at the same time with `text_style_prompt`. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model version to use for texturing. Currently, only the "latest" version is available. | COMBO | Yes | `"latest"` | +| `meshy_task_id` | The unique identifier (task ID) from a previous Meshy 3D generation or conversion task. This provides the base 3D model to be textured. | MESHY_TASK_ID | Yes | - | +| `enable_original_uv` | Use the original UV of the model instead of generating new UVs. When enabled (default: `True`), Meshy preserves existing textures from the uploaded model. If the model has no original UV, the quality of the output might not be as good. | BOOLEAN | No | - | +| `pbr` | Enables Physically Based Rendering (PBR) material output for the textured model (default: `False`). | BOOLEAN | No | - | +| `text_style_prompt` | Describe your desired texture style of the object using text. Maximum 600 characters. Cannot be used at the same time as `image_style`. | STRING | No | - | +| `image_style` | A 2D image to guide the texturing process. Cannot be used at the same time with `text_style_prompt`. | IMAGE | No | - | **Parameter Constraints:** @@ -27,12 +25,14 @@ The Meshy: Texture Node applies AI-generated textures to a 3D model. It takes a ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | The filename of the generated GLB model. This output is provided for backward compatibility. | -| `meshy_task_id` | MODEL_TASK_ID | The unique task identifier for this texturing job, which can be used to reference the result. | -| `GLB` | FILE3DGLB | The textured 3D model saved in the GLB file format. | -| `FBX` | FILE3DFBX | The textured 3D model saved in the FBX file format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The filename of the generated GLB model. This output is provided for backward compatibility. | STRING | +| `meshy_task_id` | The unique task identifier for this texturing job, which can be used to reference the result. | MODEL_TASK_ID | +| `GLB` | The textured 3D model saved in the GLB file format. | FILE3DGLB | +| `FBX` | The textured 3D model saved in the FBX file format. | FILE3DFBX | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextureNode/en.md) --- **Source fingerprint (SHA-256):** `ac14eadd89c884abb8cb4800093fca93c8da5d8c86beec94bbdd40d34368ca09` diff --git a/built-in-nodes/MinimaxHailuoVideoNode.mdx b/built-in-nodes/MinimaxHailuoVideoNode.mdx index 48973528e..d9a63a78f 100644 --- a/built-in-nodes/MinimaxHailuoVideoNode.mdx +++ b/built-in-nodes/MinimaxHailuoVideoNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "MinimaxHailuoVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/en.md) - Generates videos from text prompts using the MiniMax Hailuo-02 model. You can optionally provide a starting image as the first frame to create a video that continues from that image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt_text` | STRING | Yes | - | Text prompt to guide the video generation. | -| `seed` | INT | No | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0). | -| `first_frame_image` | IMAGE | No | - | Optional image to use as the first frame to generate a video. | -| `prompt_optimizer` | BOOLEAN | No | - | Optimize prompt to improve generation quality when needed (default: True). | -| `duration` | COMBO | No | `6`
`10` | The length of the output video in seconds (default: 6). | -| `resolution` | COMBO | No | `"768P"`
`"1080P"` | The dimensions of the video display. 1080p is 1920x1080, 768p is 1366x768 (default: "768P"). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt_text` | Text prompt to guide the video generation. | STRING | Yes | - | +| `seed` | The random seed used for creating the noise (default: 0). | INT | No | 0 to 18446744073709551615 | +| `first_frame_image` | Optional image to use as the first frame to generate a video. | IMAGE | No | - | +| `prompt_optimizer` | Optimize prompt to improve generation quality when needed (default: True). | BOOLEAN | No | - | +| `duration` | The length of the output video in seconds (default: 6). | COMBO | No | `6`
`10` | +| `resolution` | The dimensions of the video display. 1080p is 1920x1080, 768p is 1366x768 (default: "768P"). | COMBO | No | `"768P"`
`"1080P"` | **Note:** When using the MiniMax-Hailuo-02 model with 1080P resolution, the duration is limited to 6 seconds. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/en.md) --- **Source fingerprint (SHA-256):** `180e8d3c739e34094a12a719d3187378a4c360a5799a4b23029edf164d0c55a3` diff --git a/built-in-nodes/MinimaxImageToVideoNode.mdx b/built-in-nodes/MinimaxImageToVideoNode.mdx index 28c1b42e9..657b21b98 100644 --- a/built-in-nodes/MinimaxImageToVideoNode.mdx +++ b/built-in-nodes/MinimaxImageToVideoNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "MinimaxImageToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md) - Generates videos synchronously based on an image and prompt, and optional parameters using MiniMax's API. This node takes an input image and text description to create a video sequence, with various model options and configuration settings available. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | Image to use as first frame of video generation | -| `prompt_text` | STRING | Yes | - | Text prompt to guide the video generation (default: empty string) | -| `model` | COMBO | Yes | "I2V-01-Director"
"I2V-01"
"I2V-01-live" | Model to use for video generation (default: "I2V-01") | -| `seed` | INT | No | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | Image to use as first frame of video generation | IMAGE | Yes | - | +| `prompt_text` | Text prompt to guide the video generation (default: empty string) | STRING | Yes | - | +| `model` | Model to use for video generation (default: "I2V-01") | COMBO | Yes | "I2V-01-Director"
"I2V-01"
"I2V-01-live" | +| `seed` | The random seed used for creating the noise (default: 0) | INT | No | 0 to 18446744073709551615 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video output | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video output | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `8e5ae93cc214b541665f057c66d3203ef0ffdb10021fed2c05607df1b1a27844` diff --git a/built-in-nodes/MinimaxSubjectToVideoNode.mdx b/built-in-nodes/MinimaxSubjectToVideoNode.mdx index d3a265044..b82045b39 100644 --- a/built-in-nodes/MinimaxSubjectToVideoNode.mdx +++ b/built-in-nodes/MinimaxSubjectToVideoNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "MinimaxSubjectToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md) - Generates a video synchronously based on a subject image and a text prompt using MiniMax's API. This node takes an image of a subject and a description to create a video that animates or features that subject according to the prompt. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `subject` | IMAGE | Yes | - | Image of subject to reference for video generation | -| `prompt_text` | STRING | Yes | - | Text prompt to guide the video generation (default: empty string) | -| `model` | COMBO | No | `"S2V-01"` | Model to use for video generation (default: "S2V-01") | -| `seed` | INT | No | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `subject` | Image of subject to reference for video generation | IMAGE | Yes | - | +| `prompt_text` | Text prompt to guide the video generation (default: empty string) | STRING | Yes | - | +| `model` | Model to use for video generation (default: "S2V-01") | COMBO | No | `"S2V-01"` | +| `seed` | The random seed used for creating the noise (default: 0) | INT | No | 0 to 18446744073709551615 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video based on the input subject image and prompt | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video based on the input subject image and prompt | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `0dbdb1bb92850f4eac7c30017643a49ad932b2542bdf5c5c521ba875a0e341ca` diff --git a/built-in-nodes/MinimaxTextToVideoNode.mdx b/built-in-nodes/MinimaxTextToVideoNode.mdx index 2308ede14..dc72daf0f 100644 --- a/built-in-nodes/MinimaxTextToVideoNode.mdx +++ b/built-in-nodes/MinimaxTextToVideoNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "MinimaxTextToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md) - Generates videos synchronously based on a text prompt and optional parameters using MiniMax's API. This node creates video content from text descriptions by connecting to MiniMax's text-to-video service. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt_text` | STRING | Yes | - | Text prompt to guide the video generation | -| `model` | COMBO | No | "T2V-01"
"T2V-01-Director" | Model to use for video generation (default: "T2V-01") | -| `seed` | INT | No | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt_text` | Text prompt to guide the video generation | STRING | Yes | - | +| `model` | Model to use for video generation (default: "T2V-01") | COMBO | No | "T2V-01"
"T2V-01-Director" | +| `seed` | The random seed used for creating the noise (default: 0) | INT | No | 0 to 18446744073709551615 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video based on the input prompt | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video based on the input prompt | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `603b6407446f4f7c5ea9520126f960a52c498d16b59f66fe022fd439b59c39ba` diff --git a/built-in-nodes/MoGeInference.mdx b/built-in-nodes/MoGeInference.mdx index 61c2c4e70..8215b9e71 100644 --- a/built-in-nodes/MoGeInference.mdx +++ b/built-in-nodes/MoGeInference.mdx @@ -5,29 +5,29 @@ sidebarTitle: "MoGeInference" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/en.md) - ## Overview Run MoGe on a single image to estimate depth and geometry. This node processes an input image through the MoGe model to generate a 3D point cloud, depth map, camera intrinsics, a mask, and surface normals. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `moge_model` | MOGE_MODEL | Yes | N/A | The MoGe model to use for inference. | -| `image` | IMAGE | Yes | N/A | The input image for depth and geometry estimation. | -| `resolution_level` | INT | Yes | 0 to 9 | Controls the processing resolution. 0 is fastest, 9 provides the most detail. (default: 9) | -| `fov_x_degrees` | FLOAT | Yes | 0.0 to 170.0 | Horizontal field of view of the source camera in degrees. Sets the focal length used to unproject the depth map into 3D. Set to 0.0 to automatically recover the field of view from the predicted points. (default: 0.0) | -| `batch_size` | INT | Yes | 1 to 64 | Number of images processed per inference call. Lower this value if you run out of memory when processing long videos or large image sets. (default: 4) | -| `force_projection` | BOOLEAN | Yes | True/False | (Advanced) Forces projection of the predicted points. (default: True) | -| `apply_mask` | BOOLEAN | Yes | True/False | When enabled, sets masked-out (sky or invalid) pixels to infinity in the points and depth outputs. This helps meshing tools ignore these areas. Disable to keep the raw predicted geometry everywhere; the mask is still returned separately. (default: True) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `moge_model` | The MoGe model to use for inference. | MOGE_MODEL | Yes | N/A | +| `image` | The input image for depth and geometry estimation. | IMAGE | Yes | N/A | +| `resolution_level` | Controls the processing resolution. 0 is fastest, 9 provides the most detail. (default: 9) | INT | Yes | 0 to 9 | +| `fov_x_degrees` | Horizontal field of view of the source camera in degrees. Sets the focal length used to unproject the depth map into 3D. Set to 0.0 to automatically recover the field of view from the predicted points. (default: 0.0) | FLOAT | Yes | 0.0 to 170.0 | +| `batch_size` | Number of images processed per inference call. Lower this value if you run out of memory when processing long videos or large image sets. (default: 4) | INT | Yes | 1 to 64 | +| `force_projection` | (Advanced) Forces projection of the predicted points. (default: True) | BOOLEAN | Yes | True/False | +| `apply_mask` | When enabled, sets masked-out (sky or invalid) pixels to infinity in the points and depth outputs. This helps meshing tools ignore these areas. Disable to keep the raw predicted geometry everywhere; the mask is still returned separately. (default: True) | BOOLEAN | Yes | True/False | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `moge_geometry` | MOGE_GEOMETRY | A dictionary containing the estimated geometry. It includes the original `image`, and may contain `points` (3D point cloud), `depth` (depth map), `intrinsics` (camera intrinsics matrix), `mask` (mask identifying valid pixels), and `normal` (surface normals). | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `moge_geometry` | A dictionary containing the estimated geometry. It includes the original `image`, and may contain `points` (3D point cloud), `depth` (depth map), `intrinsics` (camera intrinsics matrix), `mask` (mask identifying valid pixels), and `normal` (surface normals). | MOGE_GEOMETRY | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/en.md) --- **Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79` diff --git a/built-in-nodes/MoGePanoramaInference.mdx b/built-in-nodes/MoGePanoramaInference.mdx index 30c8cfc68..3ad975e2d 100644 --- a/built-in-nodes/MoGePanoramaInference.mdx +++ b/built-in-nodes/MoGePanoramaInference.mdx @@ -5,28 +5,28 @@ sidebarTitle: "MoGePanoramaInference" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/en.md) - ## Overview This node performs depth estimation on equirectangular panorama images. It works by splitting the panorama into 12 perspective views, running the MoGe depth estimation model on each view, and then merging the results back into a single, complete depth map for the original panorama. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `moge_model` | MOGE_MODEL | Yes | | The MoGe model to use for inference. | -| `image` | IMAGE | Yes | | Equirectangular panorama image (any aspect ratio). | -| `resolution_level` | INT | Yes | 0 to 9 | Per-view detail level. Higher values produce more detailed depth maps (default: 9). | -| `split_resolution` | INT | Yes | 256 to 1024 | Resolution of each perspective view after splitting the panorama (default: 512). | -| `merge_resolution` | INT | Yes | 256 to 8192 | Long-side resolution of the final merged equirectangular depth map (default: 1920). | -| `batch_size` | INT | Yes | 1 to 12 | Number of perspective views to process in each inference batch. The total number of views is 12 (default: 4). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `moge_model` | The MoGe model to use for inference. | MOGE_MODEL | Yes | | +| `image` | Equirectangular panorama image (any aspect ratio). | IMAGE | Yes | | +| `resolution_level` | Per-view detail level. Higher values produce more detailed depth maps (default: 9). | INT | Yes | 0 to 9 | +| `split_resolution` | Resolution of each perspective view after splitting the panorama (default: 512). | INT | Yes | 256 to 1024 | +| `merge_resolution` | Long-side resolution of the final merged equirectangular depth map (default: 1920). | INT | Yes | 256 to 8192 | +| `batch_size` | Number of perspective views to process in each inference batch. The total number of views is 12 (default: 4). | INT | Yes | 1 to 12 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `moge_geometry` | MOGE_GEOMETRY | A dictionary containing the estimated geometry: `points` (3D point cloud), `depth` (depth map), `mask` (valid area mask), and `image` (the input image). | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `moge_geometry` | A dictionary containing the estimated geometry: `points` (3D point cloud), `depth` (depth map), `mask` (valid area mask), and `image` (the input image). | MOGE_GEOMETRY | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/en.md) --- **Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b` diff --git a/built-in-nodes/MoGePointMapToMesh.mdx b/built-in-nodes/MoGePointMapToMesh.mdx index 963d39ba5..0e68d4cd9 100644 --- a/built-in-nodes/MoGePointMapToMesh.mdx +++ b/built-in-nodes/MoGePointMapToMesh.mdx @@ -5,27 +5,27 @@ sidebarTitle: "MoGePointMapToMesh" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/en.md) - ## Overview This node converts a MoGe point map into a 3D mesh. It takes the geometry data produced by a MoGe depth estimation node and triangulates it into a mesh with UV coordinates and an optional texture. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `moge_geometry` | MOGE_GEOMETRY | Yes | N/A | The MoGe geometry data containing point maps, depth, and optionally the source image. | -| `batch_index` | INT | Yes | 0 to 4096 | Which image of a batched MoGe geometry to mesh. Per-image vertex counts differ, so batches can't be stacked into a single MESH (default: 0). | -| `decimation` | INT | Yes | 1 to 8 | Vertex stride; 1 = full resolution (default: 1). | -| `discontinuity_threshold` | FLOAT | Yes | 0.0 to 1.0 | Drop pixels whose 3x3 depth span exceeds this fraction. 0 = off (default: 0.04). | -| `texture` | BOOLEAN | Yes | True/False | Carry the source image through as the baseColor texture (default: True). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `moge_geometry` | The MoGe geometry data containing point maps, depth, and optionally the source image. | MOGE_GEOMETRY | Yes | N/A | +| `batch_index` | Which image of a batched MoGe geometry to mesh. Per-image vertex counts differ, so batches can't be stacked into a single MESH (default: 0). | INT | Yes | 0 to 4096 | +| `decimation` | Vertex stride; 1 = full resolution (default: 1). | INT | Yes | 1 to 8 | +| `discontinuity_threshold` | Drop pixels whose 3x3 depth span exceeds this fraction. 0 = off (default: 0.04). | FLOAT | Yes | 0.0 to 1.0 | +| `texture` | Carry the source image through as the baseColor texture (default: True). | BOOLEAN | Yes | True/False | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MESH` | MESH | A 3D mesh with vertices, faces, UV coordinates, and an optional texture from the source image. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MESH` | A 3D mesh with vertices, faces, UV coordinates, and an optional texture from the source image. | MESH | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/en.md) --- **Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f` diff --git a/built-in-nodes/MoGeRender.mdx b/built-in-nodes/MoGeRender.mdx index becf0d0be..3508f512f 100644 --- a/built-in-nodes/MoGeRender.mdx +++ b/built-in-nodes/MoGeRender.mdx @@ -5,24 +5,24 @@ sidebarTitle: "MoGeRender" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/en.md) - ## Overview This node takes a MOGE_GEOMETRY packet (produced by a MoGe depth/normal estimation node) and renders it into a standard image format. You can choose to output a depth map, a colored depth map, a normal map, or a mask. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `moge_geometry` | MOGE_GEOMETRY | Yes | N/A | The geometry data packet from a MoGe estimation node. | -| `output` | COMBO | Yes | `"depth"`
`"depth_colored"`
`"normal_opengl"`
`"normal_directx"`
`"mask"` | The type of image to render from the geometry data. DirectX vs OpenGL controls the normal-map green-channel convention. DirectX: green = -Y down (Unreal). OpenGL: green = +Y up (Blender, Substance, Unity, glTF). (default: "depth") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `moge_geometry` | The geometry data packet from a MoGe estimation node. | MOGE_GEOMETRY | Yes | N/A | +| `output` | The type of image to render from the geometry data. DirectX vs OpenGL controls the normal-map green-channel convention. DirectX: green = -Y down (Unreal). OpenGL: green = +Y up (Blender, Substance, Unity, glTF). (default: "depth") | COMBO | Yes | `"depth"`
`"depth_colored"`
`"normal_opengl"`
`"normal_directx"`
`"mask"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The rendered image as a batch of RGB tensors. The content depends on the `output` mode: a grayscale depth map, a colored depth map, a normal map, or a mask. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The rendered image as a batch of RGB tensors. The content depends on the `output` mode: a grayscale depth map, a colored depth map, a normal map, or a mask. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/en.md) --- **Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe` diff --git a/built-in-nodes/ModelComputeDtype.mdx b/built-in-nodes/ModelComputeDtype.mdx index 4df5bf2e2..055b8d64a 100644 --- a/built-in-nodes/ModelComputeDtype.mdx +++ b/built-in-nodes/ModelComputeDtype.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ModelComputeDtype" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelComputeDtype/en.md) - The ModelComputeDtype node changes the computational data type (precision) used by a model during processing. It creates a copy of the input model and applies the selected precision setting, which can help optimize memory usage and performance depending on your hardware. This is useful for debugging and testing different precision configurations. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The input model to modify with a new compute data type | -| `dtype` | STRING | Yes | "default"
"fp32"
"fp16"
"bf16" | The computational data type to apply to the model (default: "default") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The input model to modify with a new compute data type | MODEL | Yes | - | +| `dtype` | The computational data type to apply to the model (default: "default") | STRING | Yes | "default"
"fp32"
"fp16"
"bf16" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with the new compute data type applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with the new compute data type applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelComputeDtype/en.md) --- **Source fingerprint (SHA-256):** `bc65f1e452d0122ad175a8b95f38a36503253c9908157037c516496e65c828e6` diff --git a/built-in-nodes/ModelMergeAdd.mdx b/built-in-nodes/ModelMergeAdd.mdx index 42bcab504..c78cd770d 100644 --- a/built-in-nodes/ModelMergeAdd.mdx +++ b/built-in-nodes/ModelMergeAdd.mdx @@ -5,18 +5,19 @@ sidebarTitle: "ModelMergeAdd" icon: "circle" mode: wide --- - The ModelMergeAdd node is designed for merging two models by adding key patches from one model to another. This process involves cloning the first model and then applying patches from the second model, allowing for the combination of features or behaviors from both models. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model1` | `MODEL` | The first model to be cloned and to which patches from the second model will be added. It serves as the base model for the merging process. | -| `model2` | `MODEL` | The second model from which key patches are extracted and added to the first model. It contributes additional features or behaviors to the merged model. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model1` | The first model to be cloned and to which patches from the second model will be added. It serves as the base model for the merging process. | `MODEL` | +| `model2` | The second model from which key patches are extracted and added to the first model. It contributes additional features or behaviors to the merged model. | `MODEL` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model` | MODEL | The result of merging two models by adding key patches from the second model to the first. This merged model combines features or behaviors from both models. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | The result of merging two models by adding key patches from the second model to the first. This merged model combines features or behaviors from both models. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAdd/en.md) diff --git a/built-in-nodes/ModelMergeAuraflow.mdx b/built-in-nodes/ModelMergeAuraflow.mdx index 299c1c132..4b0322906 100644 --- a/built-in-nodes/ModelMergeAuraflow.mdx +++ b/built-in-nodes/ModelMergeAuraflow.mdx @@ -5,65 +5,65 @@ sidebarTitle: "ModelMergeAuraflow" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAuraflow/en.md) - The ModelMergeAuraflow node allows you to blend two different models together by adjusting specific blending weights for various model components. It provides fine-grained control over how different parts of the models are merged, from initial layers to final outputs. This node is particularly useful for creating custom model combinations with precise control over the merging process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | The first model to be merged | -| `model2` | MODEL | Yes | - | The second model to be merged | -| `init_x_linear.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for the initial linear transformation (default: 1.0) | -| `positional_encoding` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for positional encoding components (default: 1.0) | -| `cond_seq_linear.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for conditional sequence linear layers (default: 1.0) | -| `register_tokens` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for token registration components (default: 1.0) | -| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for time embedding components (default: 1.0) | -| `double_layers.0.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for double layer group 0 (default: 1.0) | -| `double_layers.1.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for double layer group 1 (default: 1.0) | -| `double_layers.2.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for double layer group 2 (default: 1.0) | -| `double_layers.3.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for double layer group 3 (default: 1.0) | -| `single_layers.0.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 0 (default: 1.0) | -| `single_layers.1.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 1 (default: 1.0) | -| `single_layers.2.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 2 (default: 1.0) | -| `single_layers.3.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 3 (default: 1.0) | -| `single_layers.4.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 4 (default: 1.0) | -| `single_layers.5.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 5 (default: 1.0) | -| `single_layers.6.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 6 (default: 1.0) | -| `single_layers.7.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 7 (default: 1.0) | -| `single_layers.8.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 8 (default: 1.0) | -| `single_layers.9.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 9 (default: 1.0) | -| `single_layers.10.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 10 (default: 1.0) | -| `single_layers.11.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 11 (default: 1.0) | -| `single_layers.12.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 12 (default: 1.0) | -| `single_layers.13.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 13 (default: 1.0) | -| `single_layers.14.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 14 (default: 1.0) | -| `single_layers.15.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 15 (default: 1.0) | -| `single_layers.16.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 16 (default: 1.0) | -| `single_layers.17.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 17 (default: 1.0) | -| `single_layers.18.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 18 (default: 1.0) | -| `single_layers.19.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 19 (default: 1.0) | -| `single_layers.20.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 20 (default: 1.0) | -| `single_layers.21.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 21 (default: 1.0) | -| `single_layers.22.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 22 (default: 1.0) | -| `single_layers.23.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 23 (default: 1.0) | -| `single_layers.24.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 24 (default: 1.0) | -| `single_layers.25.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 25 (default: 1.0) | -| `single_layers.26.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 26 (default: 1.0) | -| `single_layers.27.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 27 (default: 1.0) | -| `single_layers.28.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 28 (default: 1.0) | -| `single_layers.29.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 29 (default: 1.0) | -| `single_layers.30.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 30 (default: 1.0) | -| `single_layers.31.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 31 (default: 1.0) | -| `modF.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for modF components (default: 1.0) | -| `final_linear.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for final linear transformation (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | The first model to be merged | MODEL | Yes | - | +| `model2` | The second model to be merged | MODEL | Yes | - | +| `init_x_linear.` | Blending weight for the initial linear transformation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `positional_encoding` | Blending weight for positional encoding components (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `cond_seq_linear.` | Blending weight for conditional sequence linear layers (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `register_tokens` | Blending weight for token registration components (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `t_embedder.` | Blending weight for time embedding components (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `double_layers.0.` | Blending weight for double layer group 0 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `double_layers.1.` | Blending weight for double layer group 1 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `double_layers.2.` | Blending weight for double layer group 2 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `double_layers.3.` | Blending weight for double layer group 3 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.0.` | Blending weight for single layer 0 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.1.` | Blending weight for single layer 1 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.2.` | Blending weight for single layer 2 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.3.` | Blending weight for single layer 3 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.4.` | Blending weight for single layer 4 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.5.` | Blending weight for single layer 5 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.6.` | Blending weight for single layer 6 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.7.` | Blending weight for single layer 7 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.8.` | Blending weight for single layer 8 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.9.` | Blending weight for single layer 9 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.10.` | Blending weight for single layer 10 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.11.` | Blending weight for single layer 11 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.12.` | Blending weight for single layer 12 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.13.` | Blending weight for single layer 13 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.14.` | Blending weight for single layer 14 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.15.` | Blending weight for single layer 15 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.16.` | Blending weight for single layer 16 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.17.` | Blending weight for single layer 17 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.18.` | Blending weight for single layer 18 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.19.` | Blending weight for single layer 19 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.20.` | Blending weight for single layer 20 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.21.` | Blending weight for single layer 21 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.22.` | Blending weight for single layer 22 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.23.` | Blending weight for single layer 23 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.24.` | Blending weight for single layer 24 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.25.` | Blending weight for single layer 25 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.26.` | Blending weight for single layer 26 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.27.` | Blending weight for single layer 27 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.28.` | Blending weight for single layer 28 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.29.` | Blending weight for single layer 29 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.30.` | Blending weight for single layer 30 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `single_layers.31.` | Blending weight for single layer 31 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `modF.` | Blending weight for modF components (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `final_linear.` | Blending weight for final linear transformation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The merged model combining features from both input models according to the specified blending weights | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The merged model combining features from both input models according to the specified blending weights | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAuraflow/en.md) --- **Source fingerprint (SHA-256):** `c4959321bba252eb24c945343198d72f50d6021d4dac9945f94e3eb28f1bc3c9` diff --git a/built-in-nodes/ModelMergeBlocks.mdx b/built-in-nodes/ModelMergeBlocks.mdx index aaa469bcf..31b31a0fb 100644 --- a/built-in-nodes/ModelMergeBlocks.mdx +++ b/built-in-nodes/ModelMergeBlocks.mdx @@ -5,21 +5,22 @@ sidebarTitle: "ModelMergeBlocks" icon: "circle" mode: wide --- - ModelMergeBlocks is designed for advanced model merging operations, allowing for the integration of two models with customizable blending ratios for different parts of the models. This node facilitates the creation of hybrid models by selectively merging components from two source models based on specified parameters. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model1` | `MODEL` | The first model to be merged. It serves as the base model onto which patches from the second model are applied. | -| `model2` | `MODEL` | The second model from which patches are extracted and applied to the first model, based on the specified blending ratios. | -| `input` | `FLOAT` | Specifies the blending ratio for the input layer of the models. It determines how much of the second model's input layer is merged into the first model. | -| `middle` | `FLOAT` | Defines the blending ratio for the middle layers of the models. This parameter controls the integration level of the models' middle layers. | -| `out` | `FLOAT` | Determines the blending ratio for the output layer of the models. It affects the final output by adjusting the contribution of the second model's output layer. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model1` | The first model to be merged. It serves as the base model onto which patches from the second model are applied. | `MODEL` | +| `model2` | The second model from which patches are extracted and applied to the first model, based on the specified blending ratios. | `MODEL` | +| `input` | Specifies the blending ratio for the input layer of the models. It determines how much of the second model's input layer is merged into the first model. | `FLOAT` | +| `middle` | Defines the blending ratio for the middle layers of the models. This parameter controls the integration level of the models' middle layers. | `FLOAT` | +| `out` | Determines the blending ratio for the output layer of the models. It affects the final output by adjusting the contribution of the second model's output layer. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model` | MODEL | The resulting merged model, which is a hybrid of the two input models with patches applied according to the specified blending ratios. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | The resulting merged model, which is a hybrid of the two input models with patches applied according to the specified blending ratios. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeBlocks/en.md) diff --git a/built-in-nodes/ModelMergeCosmos14B.mdx b/built-in-nodes/ModelMergeCosmos14B.mdx index 7e9edfa9f..10308e1ad 100644 --- a/built-in-nodes/ModelMergeCosmos14B.mdx +++ b/built-in-nodes/ModelMergeCosmos14B.mdx @@ -5,64 +5,64 @@ sidebarTitle: "ModelMergeCosmos14B" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos14B/en.md) - The **ModelMergeCosmos14B** node merges two AI models using a block-based approach specifically designed for the Cosmos 14B model architecture. It allows you to blend different components of the models by adjusting weight values between 0.0 and 1.0 for each model block and embedding layer. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | First model to merge | -| `model2` | MODEL | Yes | - | Second model to merge | -| `pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for the position embedder component (default: 1.0) | -| `extra_pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for the extra position embedder component (default: 1.0) | -| `x_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for the x embedder component (default: 1.0) | -| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for the t embedder component (default: 1.0) | -| `affline_norm.` | FLOAT | Yes | 0.0 - 1.0 | Weight for the affine normalization component (default: 1.0) | -| `blocks.block0.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 0 (default: 1.0) | -| `blocks.block1.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 1 (default: 1.0) | -| `blocks.block2.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 2 (default: 1.0) | -| `blocks.block3.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 3 (default: 1.0) | -| `blocks.block4.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 4 (default: 1.0) | -| `blocks.block5.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 5 (default: 1.0) | -| `blocks.block6.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 6 (default: 1.0) | -| `blocks.block7.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 7 (default: 1.0) | -| `blocks.block8.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 8 (default: 1.0) | -| `blocks.block9.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 9 (default: 1.0) | -| `blocks.block10.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 10 (default: 1.0) | -| `blocks.block11.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 11 (default: 1.0) | -| `blocks.block12.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 12 (default: 1.0) | -| `blocks.block13.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 13 (default: 1.0) | -| `blocks.block14.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 14 (default: 1.0) | -| `blocks.block15.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 15 (default: 1.0) | -| `blocks.block16.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 16 (default: 1.0) | -| `blocks.block17.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 17 (default: 1.0) | -| `blocks.block18.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 18 (default: 1.0) | -| `blocks.block19.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 19 (default: 1.0) | -| `blocks.block20.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 20 (default: 1.0) | -| `blocks.block21.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 21 (default: 1.0) | -| `blocks.block22.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 22 (default: 1.0) | -| `blocks.block23.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 23 (default: 1.0) | -| `blocks.block24.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 24 (default: 1.0) | -| `blocks.block25.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 25 (default: 1.0) | -| `blocks.block26.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 26 (default: 1.0) | -| `blocks.block27.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 27 (default: 1.0) | -| `blocks.block28.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 28 (default: 1.0) | -| `blocks.block29.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 29 (default: 1.0) | -| `blocks.block30.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 30 (default: 1.0) | -| `blocks.block31.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 31 (default: 1.0) | -| `blocks.block32.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 32 (default: 1.0) | -| `blocks.block33.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 33 (default: 1.0) | -| `blocks.block34.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 34 (default: 1.0) | -| `blocks.block35.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 35 (default: 1.0) | -| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Weight for the final layer (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | First model to merge | MODEL | Yes | - | +| `model2` | Second model to merge | MODEL | Yes | - | +| `pos_embedder.` | Weight for the position embedder component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `extra_pos_embedder.` | Weight for the extra position embedder component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `x_embedder.` | Weight for the x embedder component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `t_embedder.` | Weight for the t embedder component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `affline_norm.` | Weight for the affine normalization component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block0.` | Weight for block 0 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block1.` | Weight for block 1 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block2.` | Weight for block 2 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block3.` | Weight for block 3 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block4.` | Weight for block 4 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block5.` | Weight for block 5 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block6.` | Weight for block 6 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block7.` | Weight for block 7 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block8.` | Weight for block 8 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block9.` | Weight for block 9 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block10.` | Weight for block 10 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block11.` | Weight for block 11 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block12.` | Weight for block 12 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block13.` | Weight for block 13 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block14.` | Weight for block 14 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block15.` | Weight for block 15 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block16.` | Weight for block 16 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block17.` | Weight for block 17 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block18.` | Weight for block 18 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block19.` | Weight for block 19 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block20.` | Weight for block 20 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block21.` | Weight for block 21 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block22.` | Weight for block 22 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block23.` | Weight for block 23 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block24.` | Weight for block 24 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block25.` | Weight for block 25 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block26.` | Weight for block 26 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block27.` | Weight for block 27 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block28.` | Weight for block 28 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block29.` | Weight for block 29 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block30.` | Weight for block 30 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block31.` | Weight for block 31 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block32.` | Weight for block 32 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block33.` | Weight for block 33 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block34.` | Weight for block 34 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block35.` | Weight for block 35 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `final_layer.` | Weight for the final layer (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The merged model combining features from both input models | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The merged model combining features from both input models | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos14B/en.md) --- **Source fingerprint (SHA-256):** `6fcb4fefe7738d0addef49d386c0d3d22cda4c68f0e49ad003d1df595cf0e9d9` diff --git a/built-in-nodes/ModelMergeCosmos7B.mdx b/built-in-nodes/ModelMergeCosmos7B.mdx index 39e28582a..300a09743 100644 --- a/built-in-nodes/ModelMergeCosmos7B.mdx +++ b/built-in-nodes/ModelMergeCosmos7B.mdx @@ -5,56 +5,56 @@ sidebarTitle: "ModelMergeCosmos7B" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos7B/en.md) - The ModelMergeCosmos7B node merges two AI models together using weighted blending of specific components. It allows fine-grained control over how different parts of the models are combined by adjusting individual weights for position embeddings, transformer blocks, and final layers. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | First model to merge | -| `model2` | MODEL | Yes | - | Second model to merge | -| `pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for position embedder component (default: 1.0) | -| `extra_pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for extra position embedder component (default: 1.0) | -| `x_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for x embedder component (default: 1.0) | -| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for t embedder component (default: 1.0) | -| `affline_norm.` | FLOAT | Yes | 0.0 - 1.0 | Weight for affine normalization component (default: 1.0) | -| `blocks.block0.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 0 (default: 1.0) | -| `blocks.block1.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 1 (default: 1.0) | -| `blocks.block2.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 2 (default: 1.0) | -| `blocks.block3.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 3 (default: 1.0) | -| `blocks.block4.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 4 (default: 1.0) | -| `blocks.block5.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 5 (default: 1.0) | -| `blocks.block6.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 6 (default: 1.0) | -| `blocks.block7.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 7 (default: 1.0) | -| `blocks.block8.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 8 (default: 1.0) | -| `blocks.block9.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 9 (default: 1.0) | -| `blocks.block10.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 10 (default: 1.0) | -| `blocks.block11.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 11 (default: 1.0) | -| `blocks.block12.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 12 (default: 1.0) | -| `blocks.block13.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 13 (default: 1.0) | -| `blocks.block14.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 14 (default: 1.0) | -| `blocks.block15.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 15 (default: 1.0) | -| `blocks.block16.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 16 (default: 1.0) | -| `blocks.block17.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 17 (default: 1.0) | -| `blocks.block18.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 18 (default: 1.0) | -| `blocks.block19.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 19 (default: 1.0) | -| `blocks.block20.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 20 (default: 1.0) | -| `blocks.block21.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 21 (default: 1.0) | -| `blocks.block22.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 22 (default: 1.0) | -| `blocks.block23.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 23 (default: 1.0) | -| `blocks.block24.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 24 (default: 1.0) | -| `blocks.block25.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 25 (default: 1.0) | -| `blocks.block26.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 26 (default: 1.0) | -| `blocks.block27.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 27 (default: 1.0) | -| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Weight for final layer component (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | First model to merge | MODEL | Yes | - | +| `model2` | Second model to merge | MODEL | Yes | - | +| `pos_embedder.` | Weight for position embedder component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `extra_pos_embedder.` | Weight for extra position embedder component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `x_embedder.` | Weight for x embedder component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `t_embedder.` | Weight for t embedder component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `affline_norm.` | Weight for affine normalization component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block0.` | Weight for transformer block 0 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block1.` | Weight for transformer block 1 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block2.` | Weight for transformer block 2 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block3.` | Weight for transformer block 3 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block4.` | Weight for transformer block 4 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block5.` | Weight for transformer block 5 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block6.` | Weight for transformer block 6 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block7.` | Weight for transformer block 7 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block8.` | Weight for transformer block 8 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block9.` | Weight for transformer block 9 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block10.` | Weight for transformer block 10 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block11.` | Weight for transformer block 11 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block12.` | Weight for transformer block 12 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block13.` | Weight for transformer block 13 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block14.` | Weight for transformer block 14 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block15.` | Weight for transformer block 15 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block16.` | Weight for transformer block 16 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block17.` | Weight for transformer block 17 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block18.` | Weight for transformer block 18 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block19.` | Weight for transformer block 19 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block20.` | Weight for transformer block 20 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block21.` | Weight for transformer block 21 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block22.` | Weight for transformer block 22 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block23.` | Weight for transformer block 23 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block24.` | Weight for transformer block 24 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block25.` | Weight for transformer block 25 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block26.` | Weight for transformer block 26 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.block27.` | Weight for transformer block 27 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `final_layer.` | Weight for final layer component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The merged model combining features from both input models | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The merged model combining features from both input models | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos7B/en.md) --- **Source fingerprint (SHA-256):** `0721b047933179706c76f622efb5b7425aad530d302d8b33ec12dd68513dec0b` diff --git a/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx b/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx index 7a2820a6f..26b4bc4a9 100644 --- a/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx +++ b/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx @@ -5,65 +5,65 @@ sidebarTitle: "ModelMergeCosmosPredict2_14B" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_14B/en.md) - The ModelMergeCosmosPredict2_14B node merges two AI models by blending their internal components. It gives you precise control over how much each part of the second model influences the final merged result, using adjustable weight values for specific layers and components. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | The base model to merge with | -| `model2` | MODEL | Yes | - | The secondary model to merge into the base model | -| `pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Position embedder blending weight (default: 1.0) | -| `x_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Input embedder blending weight (default: 1.0) | -| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Time embedder blending weight (default: 1.0) | -| `t_embedding_norm.` | FLOAT | Yes | 0.0 - 1.0 | Time embedding normalization blending weight (default: 1.0) | -| `blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Block 0 blending weight (default: 1.0) | -| `blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Block 1 blending weight (default: 1.0) | -| `blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Block 2 blending weight (default: 1.0) | -| `blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Block 3 blending weight (default: 1.0) | -| `blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Block 4 blending weight (default: 1.0) | -| `blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Block 5 blending weight (default: 1.0) | -| `blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Block 6 blending weight (default: 1.0) | -| `blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Block 7 blending weight (default: 1.0) | -| `blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Block 8 blending weight (default: 1.0) | -| `blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Block 9 blending weight (default: 1.0) | -| `blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Block 10 blending weight (default: 1.0) | -| `blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Block 11 blending weight (default: 1.0) | -| `blocks.12.` | FLOAT | Yes | 0.0 - 1.0 | Block 12 blending weight (default: 1.0) | -| `blocks.13.` | FLOAT | Yes | 0.0 - 1.0 | Block 13 blending weight (default: 1.0) | -| `blocks.14.` | FLOAT | Yes | 0.0 - 1.0 | Block 14 blending weight (default: 1.0) | -| `blocks.15.` | FLOAT | Yes | 0.0 - 1.0 | Block 15 blending weight (default: 1.0) | -| `blocks.16.` | FLOAT | Yes | 0.0 - 1.0 | Block 16 blending weight (default: 1.0) | -| `blocks.17.` | FLOAT | Yes | 0.0 - 1.0 | Block 17 blending weight (default: 1.0) | -| `blocks.18.` | FLOAT | Yes | 0.0 - 1.0 | Block 18 blending weight (default: 1.0) | -| `blocks.19.` | FLOAT | Yes | 0.0 - 1.0 | Block 19 blending weight (default: 1.0) | -| `blocks.20.` | FLOAT | Yes | 0.0 - 1.0 | Block 20 blending weight (default: 1.0) | -| `blocks.21.` | FLOAT | Yes | 0.0 - 1.0 | Block 21 blending weight (default: 1.0) | -| `blocks.22.` | FLOAT | Yes | 0.0 - 1.0 | Block 22 blending weight (default: 1.0) | -| `blocks.23.` | FLOAT | Yes | 0.0 - 1.0 | Block 23 blending weight (default: 1.0) | -| `blocks.24.` | FLOAT | Yes | 0.0 - 1.0 | Block 24 blending weight (default: 1.0) | -| `blocks.25.` | FLOAT | Yes | 0.0 - 1.0 | Block 25 blending weight (default: 1.0) | -| `blocks.26.` | FLOAT | Yes | 0.0 - 1.0 | Block 26 blending weight (default: 1.0) | -| `blocks.27.` | FLOAT | Yes | 0.0 - 1.0 | Block 27 blending weight (default: 1.0) | -| `blocks.28.` | FLOAT | Yes | 0.0 - 1.0 | Block 28 blending weight (default: 1.0) | -| `blocks.29.` | FLOAT | Yes | 0.0 - 1.0 | Block 29 blending weight (default: 1.0) | -| `blocks.30.` | FLOAT | Yes | 0.0 - 1.0 | Block 30 blending weight (default: 1.0) | -| `blocks.31.` | FLOAT | Yes | 0.0 - 1.0 | Block 31 blending weight (default: 1.0) | -| `blocks.32.` | FLOAT | Yes | 0.0 - 1.0 | Block 32 blending weight (default: 1.0) | -| `blocks.33.` | FLOAT | Yes | 0.0 - 1.0 | Block 33 blending weight (default: 1.0) | -| `blocks.34.` | FLOAT | Yes | 0.0 - 1.0 | Block 34 blending weight (default: 1.0) | -| `blocks.35.` | FLOAT | Yes | 0.0 - 1.0 | Block 35 blending weight (default: 1.0) | -| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Final layer blending weight (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | The base model to merge with | MODEL | Yes | - | +| `model2` | The secondary model to merge into the base model | MODEL | Yes | - | +| `pos_embedder.` | Position embedder blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `x_embedder.` | Input embedder blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `t_embedder.` | Time embedder blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `t_embedding_norm.` | Time embedding normalization blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.0.` | Block 0 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.1.` | Block 1 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.2.` | Block 2 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.3.` | Block 3 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.4.` | Block 4 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.5.` | Block 5 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.6.` | Block 6 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.7.` | Block 7 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.8.` | Block 8 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.9.` | Block 9 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.10.` | Block 10 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.11.` | Block 11 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.12.` | Block 12 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.13.` | Block 13 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.14.` | Block 14 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.15.` | Block 15 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.16.` | Block 16 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.17.` | Block 17 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.18.` | Block 18 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.19.` | Block 19 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.20.` | Block 20 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.21.` | Block 21 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.22.` | Block 22 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.23.` | Block 23 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.24.` | Block 24 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.25.` | Block 25 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.26.` | Block 26 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.27.` | Block 27 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.28.` | Block 28 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.29.` | Block 29 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.30.` | Block 30 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.31.` | Block 31 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.32.` | Block 32 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.33.` | Block 33 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.34.` | Block 34 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.35.` | Block 35 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `final_layer.` | Final layer blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | **Note:** All blending weight parameters accept values between 0.0 and 1.0, where 0.0 means no contribution from model2 and 1.0 means full contribution from model2 for that specific component. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The merged model combining features from both input models | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The merged model combining features from both input models | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_14B/en.md) --- **Source fingerprint (SHA-256):** `5e72608391bc47c2610c93fda19e6e12a1695f95f6135a08efe97e3d400acf84` diff --git a/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx b/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx index ef5ecef87..66c5e1aa1 100644 --- a/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx +++ b/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx @@ -5,55 +5,55 @@ sidebarTitle: "ModelMergeCosmosPredict2_2B" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_2B/en.md) - The ModelMergeCosmosPredict2_2B node merges two diffusion models using a block-based approach with fine-grained control over different model components. It allows you to blend specific parts of two models by adjusting interpolation weights for position embedders, time embedders, transformer blocks, and final layers. This provides precise control over how different architectural components from each model contribute to the final merged result. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | The first model to merge | -| `model2` | MODEL | Yes | - | The second model to merge | -| `pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Position embedder interpolation weight (default: 1.0) | -| `x_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Input embedder interpolation weight (default: 1.0) | -| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Time embedder interpolation weight (default: 1.0) | -| `t_embedding_norm.` | FLOAT | Yes | 0.0 - 1.0 | Time embedding normalization interpolation weight (default: 1.0) | -| `blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 0 interpolation weight (default: 1.0) | -| `blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 1 interpolation weight (default: 1.0) | -| `blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 2 interpolation weight (default: 1.0) | -| `blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 3 interpolation weight (default: 1.0) | -| `blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 4 interpolation weight (default: 1.0) | -| `blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 5 interpolation weight (default: 1.0) | -| `blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 6 interpolation weight (default: 1.0) | -| `blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 7 interpolation weight (default: 1.0) | -| `blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 8 interpolation weight (default: 1.0) | -| `blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 9 interpolation weight (default: 1.0) | -| `blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 10 interpolation weight (default: 1.0) | -| `blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 11 interpolation weight (default: 1.0) | -| `blocks.12.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 12 interpolation weight (default: 1.0) | -| `blocks.13.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 13 interpolation weight (default: 1.0) | -| `blocks.14.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 14 interpolation weight (default: 1.0) | -| `blocks.15.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 15 interpolation weight (default: 1.0) | -| `blocks.16.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 16 interpolation weight (default: 1.0) | -| `blocks.17.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 17 interpolation weight (default: 1.0) | -| `blocks.18.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 18 interpolation weight (default: 1.0) | -| `blocks.19.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 19 interpolation weight (default: 1.0) | -| `blocks.20.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 20 interpolation weight (default: 1.0) | -| `blocks.21.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 21 interpolation weight (default: 1.0) | -| `blocks.22.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 22 interpolation weight (default: 1.0) | -| `blocks.23.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 23 interpolation weight (default: 1.0) | -| `blocks.24.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 24 interpolation weight (default: 1.0) | -| `blocks.25.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 25 interpolation weight (default: 1.0) | -| `blocks.26.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 26 interpolation weight (default: 1.0) | -| `blocks.27.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 27 interpolation weight (default: 1.0) | -| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Final layer interpolation weight (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | The first model to merge | MODEL | Yes | - | +| `model2` | The second model to merge | MODEL | Yes | - | +| `pos_embedder.` | Position embedder interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `x_embedder.` | Input embedder interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `t_embedder.` | Time embedder interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `t_embedding_norm.` | Time embedding normalization interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.0.` | Transformer block 0 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.1.` | Transformer block 1 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.2.` | Transformer block 2 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.3.` | Transformer block 3 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.4.` | Transformer block 4 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.5.` | Transformer block 5 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.6.` | Transformer block 6 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.7.` | Transformer block 7 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.8.` | Transformer block 8 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.9.` | Transformer block 9 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.10.` | Transformer block 10 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.11.` | Transformer block 11 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.12.` | Transformer block 12 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.13.` | Transformer block 13 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.14.` | Transformer block 14 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.15.` | Transformer block 15 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.16.` | Transformer block 16 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.17.` | Transformer block 17 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.18.` | Transformer block 18 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.19.` | Transformer block 19 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.20.` | Transformer block 20 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.21.` | Transformer block 21 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.22.` | Transformer block 22 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.23.` | Transformer block 23 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.24.` | Transformer block 24 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.25.` | Transformer block 25 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.26.` | Transformer block 26 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.27.` | Transformer block 27 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `final_layer.` | Final layer interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The merged model combining features from both input models | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The merged model combining features from both input models | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_2B/en.md) --- **Source fingerprint (SHA-256):** `53a8de66d6b731f5b29af326832f66cc973284bc8fdf09d779575f2346cc75a7` diff --git a/built-in-nodes/ModelMergeFlux1.mdx b/built-in-nodes/ModelMergeFlux1.mdx index 1cd67a7f0..9ff2995f7 100644 --- a/built-in-nodes/ModelMergeFlux1.mdx +++ b/built-in-nodes/ModelMergeFlux1.mdx @@ -5,85 +5,85 @@ sidebarTitle: "ModelMergeFlux1" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeFlux1/en.md) - The ModelMergeFlux1 node merges two diffusion models by blending their components using weighted interpolation. It allows fine-grained control over how different parts of the models are combined, including image processing blocks, time embedding layers, guidance mechanisms, vector inputs, text encoders, and various transformer blocks. This enables creating hybrid models with customized characteristics from two source models. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | First source model to merge | -| `model2` | MODEL | Yes | - | Second source model to merge | -| `img_in.` | FLOAT | Yes | 0.0 to 1.0 | Image input interpolation weight (default: 1.0) | -| `time_in.` | FLOAT | Yes | 0.0 to 1.0 | Time embedding interpolation weight (default: 1.0) | -| `guidance_in` | FLOAT | Yes | 0.0 to 1.0 | Guidance mechanism interpolation weight (default: 1.0) | -| `vector_in.` | FLOAT | Yes | 0.0 to 1.0 | Vector input interpolation weight (default: 1.0) | -| `txt_in.` | FLOAT | Yes | 0.0 to 1.0 | Text encoder interpolation weight (default: 1.0) | -| `double_blocks.0.` | FLOAT | Yes | 0.0 to 1.0 | Double block 0 interpolation weight (default: 1.0) | -| `double_blocks.1.` | FLOAT | Yes | 0.0 to 1.0 | Double block 1 interpolation weight (default: 1.0) | -| `double_blocks.2.` | FLOAT | Yes | 0.0 to 1.0 | Double block 2 interpolation weight (default: 1.0) | -| `double_blocks.3.` | FLOAT | Yes | 0.0 to 1.0 | Double block 3 interpolation weight (default: 1.0) | -| `double_blocks.4.` | FLOAT | Yes | 0.0 to 1.0 | Double block 4 interpolation weight (default: 1.0) | -| `double_blocks.5.` | FLOAT | Yes | 0.0 to 1.0 | Double block 5 interpolation weight (default: 1.0) | -| `double_blocks.6.` | FLOAT | Yes | 0.0 to 1.0 | Double block 6 interpolation weight (default: 1.0) | -| `double_blocks.7.` | FLOAT | Yes | 0.0 to 1.0 | Double block 7 interpolation weight (default: 1.0) | -| `double_blocks.8.` | FLOAT | Yes | 0.0 to 1.0 | Double block 8 interpolation weight (default: 1.0) | -| `double_blocks.9.` | FLOAT | Yes | 0.0 to 1.0 | Double block 9 interpolation weight (default: 1.0) | -| `double_blocks.10.` | FLOAT | Yes | 0.0 to 1.0 | Double block 10 interpolation weight (default: 1.0) | -| `double_blocks.11.` | FLOAT | Yes | 0.0 to 1.0 | Double block 11 interpolation weight (default: 1.0) | -| `double_blocks.12.` | FLOAT | Yes | 0.0 to 1.0 | Double block 12 interpolation weight (default: 1.0) | -| `double_blocks.13.` | FLOAT | Yes | 0.0 to 1.0 | Double block 13 interpolation weight (default: 1.0) | -| `double_blocks.14.` | FLOAT | Yes | 0.0 to 1.0 | Double block 14 interpolation weight (default: 1.0) | -| `double_blocks.15.` | FLOAT | Yes | 0.0 to 1.0 | Double block 15 interpolation weight (default: 1.0) | -| `double_blocks.16.` | FLOAT | Yes | 0.0 to 1.0 | Double block 16 interpolation weight (default: 1.0) | -| `double_blocks.17.` | FLOAT | Yes | 0.0 to 1.0 | Double block 17 interpolation weight (default: 1.0) | -| `double_blocks.18.` | FLOAT | Yes | 0.0 to 1.0 | Double block 18 interpolation weight (default: 1.0) | -| `single_blocks.0.` | FLOAT | Yes | 0.0 to 1.0 | Single block 0 interpolation weight (default: 1.0) | -| `single_blocks.1.` | FLOAT | Yes | 0.0 to 1.0 | Single block 1 interpolation weight (default: 1.0) | -| `single_blocks.2.` | FLOAT | Yes | 0.0 to 1.0 | Single block 2 interpolation weight (default: 1.0) | -| `single_blocks.3.` | FLOAT | Yes | 0.0 to 1.0 | Single block 3 interpolation weight (default: 1.0) | -| `single_blocks.4.` | FLOAT | Yes | 0.0 to 1.0 | Single block 4 interpolation weight (default: 1.0) | -| `single_blocks.5.` | FLOAT | Yes | 0.0 to 1.0 | Single block 5 interpolation weight (default: 1.0) | -| `single_blocks.6.` | FLOAT | Yes | 0.0 to 1.0 | Single block 6 interpolation weight (default: 1.0) | -| `single_blocks.7.` | FLOAT | Yes | 0.0 to 1.0 | Single block 7 interpolation weight (default: 1.0) | -| `single_blocks.8.` | FLOAT | Yes | 0.0 to 1.0 | Single block 8 interpolation weight (default: 1.0) | -| `single_blocks.9.` | FLOAT | Yes | 0.0 to 1.0 | Single block 9 interpolation weight (default: 1.0) | -| `single_blocks.10.` | FLOAT | Yes | 0.0 to 1.0 | Single block 10 interpolation weight (default: 1.0) | -| `single_blocks.11.` | FLOAT | Yes | 0.0 to 1.0 | Single block 11 interpolation weight (default: 1.0) | -| `single_blocks.12.` | FLOAT | Yes | 0.0 to 1.0 | Single block 12 interpolation weight (default: 1.0) | -| `single_blocks.13.` | FLOAT | Yes | 0.0 to 1.0 | Single block 13 interpolation weight (default: 1.0) | -| `single_blocks.14.` | FLOAT | Yes | 0.0 to 1.0 | Single block 14 interpolation weight (default: 1.0) | -| `single_blocks.15.` | FLOAT | Yes | 0.0 to 1.0 | Single block 15 interpolation weight (default: 1.0) | -| `single_blocks.16.` | FLOAT | Yes | 0.0 to 1.0 | Single block 16 interpolation weight (default: 1.0) | -| `single_blocks.17.` | FLOAT | Yes | 0.0 to 1.0 | Single block 17 interpolation weight (default: 1.0) | -| `single_blocks.18.` | FLOAT | Yes | 0.0 to 1.0 | Single block 18 interpolation weight (default: 1.0) | -| `single_blocks.19.` | FLOAT | Yes | 0.0 to 1.0 | Single block 19 interpolation weight (default: 1.0) | -| `single_blocks.20.` | FLOAT | Yes | 0.0 to 1.0 | Single block 20 interpolation weight (default: 1.0) | -| `single_blocks.21.` | FLOAT | Yes | 0.0 to 1.0 | Single block 21 interpolation weight (default: 1.0) | -| `single_blocks.22.` | FLOAT | Yes | 0.0 to 1.0 | Single block 22 interpolation weight (default: 1.0) | -| `single_blocks.23.` | FLOAT | Yes | 0.0 to 1.0 | Single block 23 interpolation weight (default: 1.0) | -| `single_blocks.24.` | FLOAT | Yes | 0.0 to 1.0 | Single block 24 interpolation weight (default: 1.0) | -| `single_blocks.25.` | FLOAT | Yes | 0.0 to 1.0 | Single block 25 interpolation weight (default: 1.0) | -| `single_blocks.26.` | FLOAT | Yes | 0.0 to 1.0 | Single block 26 interpolation weight (default: 1.0) | -| `single_blocks.27.` | FLOAT | Yes | 0.0 to 1.0 | Single block 27 interpolation weight (default: 1.0) | -| `single_blocks.28.` | FLOAT | Yes | 0.0 to 1.0 | Single block 28 interpolation weight (default: 1.0) | -| `single_blocks.29.` | FLOAT | Yes | 0.0 to 1.0 | Single block 29 interpolation weight (default: 1.0) | -| `single_blocks.30.` | FLOAT | Yes | 0.0 to 1.0 | Single block 30 interpolation weight (default: 1.0) | -| `single_blocks.31.` | FLOAT | Yes | 0.0 to 1.0 | Single block 31 interpolation weight (default: 1.0) | -| `single_blocks.32.` | FLOAT | Yes | 0.0 to 1.0 | Single block 32 interpolation weight (default: 1.0) | -| `single_blocks.33.` | FLOAT | Yes | 0.0 to 1.0 | Single block 33 interpolation weight (default: 1.0) | -| `single_blocks.34.` | FLOAT | Yes | 0.0 to 1.0 | Single block 34 interpolation weight (default: 1.0) | -| `single_blocks.35.` | FLOAT | Yes | 0.0 to 1.0 | Single block 35 interpolation weight (default: 1.0) | -| `single_blocks.36.` | FLOAT | Yes | 0.0 to 1.0 | Single block 36 interpolation weight (default: 1.0) | -| `single_blocks.37.` | FLOAT | Yes | 0.0 to 1.0 | Single block 37 interpolation weight (default: 1.0) | -| `final_layer.` | FLOAT | Yes | 0.0 to 1.0 | Final layer interpolation weight (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | First source model to merge | MODEL | Yes | - | +| `model2` | Second source model to merge | MODEL | Yes | - | +| `img_in.` | Image input interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `time_in.` | Time embedding interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `guidance_in` | Guidance mechanism interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `vector_in.` | Vector input interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `txt_in.` | Text encoder interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.0.` | Double block 0 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.1.` | Double block 1 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.2.` | Double block 2 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.3.` | Double block 3 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.4.` | Double block 4 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.5.` | Double block 5 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.6.` | Double block 6 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.7.` | Double block 7 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.8.` | Double block 8 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.9.` | Double block 9 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.10.` | Double block 10 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.11.` | Double block 11 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.12.` | Double block 12 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.13.` | Double block 13 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.14.` | Double block 14 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.15.` | Double block 15 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.16.` | Double block 16 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.17.` | Double block 17 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `double_blocks.18.` | Double block 18 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.0.` | Single block 0 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.1.` | Single block 1 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.2.` | Single block 2 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.3.` | Single block 3 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.4.` | Single block 4 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.5.` | Single block 5 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.6.` | Single block 6 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.7.` | Single block 7 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.8.` | Single block 8 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.9.` | Single block 9 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.10.` | Single block 10 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.11.` | Single block 11 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.12.` | Single block 12 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.13.` | Single block 13 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.14.` | Single block 14 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.15.` | Single block 15 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.16.` | Single block 16 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.17.` | Single block 17 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.18.` | Single block 18 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.19.` | Single block 19 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.20.` | Single block 20 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.21.` | Single block 21 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.22.` | Single block 22 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.23.` | Single block 23 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.24.` | Single block 24 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.25.` | Single block 25 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.26.` | Single block 26 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.27.` | Single block 27 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.28.` | Single block 28 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.29.` | Single block 29 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.30.` | Single block 30 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.31.` | Single block 31 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.32.` | Single block 32 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.33.` | Single block 33 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.34.` | Single block 34 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.35.` | Single block 35 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.36.` | Single block 36 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `single_blocks.37.` | Single block 37 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `final_layer.` | Final layer interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The merged model combining characteristics from both input models | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The merged model combining characteristics from both input models | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeFlux1/en.md) --- **Source fingerprint (SHA-256):** `a632133b5d4bc7c5a4e1be5f6f779e424a491fffb8ef7702346adc4acf6f23bc` diff --git a/built-in-nodes/ModelMergeLTXV.mdx b/built-in-nodes/ModelMergeLTXV.mdx index de8b0c71a..4dee62476 100644 --- a/built-in-nodes/ModelMergeLTXV.mdx +++ b/built-in-nodes/ModelMergeLTXV.mdx @@ -5,55 +5,55 @@ sidebarTitle: "ModelMergeLTXV" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeLTXV/en.md) - The ModelMergeLTXV node performs advanced model merging operations specifically designed for LTXV model architectures. It allows you to blend two different models together by adjusting interpolation weights for various model components including transformer blocks, projection layers, and other specialized modules. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | The first model to merge | -| `model2` | MODEL | Yes | - | The second model to merge | -| `patchify_proj.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for patchify projection layers (default: 1.0) | -| `adaln_single.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for adaptive layer normalization single layers (default: 1.0) | -| `caption_projection.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for caption projection layers (default: 1.0) | -| `transformer_blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 0 (default: 1.0) | -| `transformer_blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 1 (default: 1.0) | -| `transformer_blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 2 (default: 1.0) | -| `transformer_blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 3 (default: 1.0) | -| `transformer_blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 4 (default: 1.0) | -| `transformer_blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 5 (default: 1.0) | -| `transformer_blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 6 (default: 1.0) | -| `transformer_blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 7 (default: 1.0) | -| `transformer_blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 8 (default: 1.0) | -| `transformer_blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 9 (default: 1.0) | -| `transformer_blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 10 (default: 1.0) | -| `transformer_blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 11 (default: 1.0) | -| `transformer_blocks.12.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 12 (default: 1.0) | -| `transformer_blocks.13.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 13 (default: 1.0) | -| `transformer_blocks.14.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 14 (default: 1.0) | -| `transformer_blocks.15.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 15 (default: 1.0) | -| `transformer_blocks.16.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 16 (default: 1.0) | -| `transformer_blocks.17.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 17 (default: 1.0) | -| `transformer_blocks.18.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 18 (default: 1.0) | -| `transformer_blocks.19.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 19 (default: 1.0) | -| `transformer_blocks.20.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 20 (default: 1.0) | -| `transformer_blocks.21.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 21 (default: 1.0) | -| `transformer_blocks.22.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 22 (default: 1.0) | -| `transformer_blocks.23.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 23 (default: 1.0) | -| `transformer_blocks.24.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 24 (default: 1.0) | -| `transformer_blocks.25.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 25 (default: 1.0) | -| `transformer_blocks.26.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 26 (default: 1.0) | -| `transformer_blocks.27.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 27 (default: 1.0) | -| `scale_shift_table` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for scale shift table (default: 1.0) | -| `proj_out.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for projection output layers (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | The first model to merge | MODEL | Yes | - | +| `model2` | The second model to merge | MODEL | Yes | - | +| `patchify_proj.` | Interpolation weight for patchify projection layers (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `adaln_single.` | Interpolation weight for adaptive layer normalization single layers (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `caption_projection.` | Interpolation weight for caption projection layers (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.0.` | Interpolation weight for transformer block 0 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.1.` | Interpolation weight for transformer block 1 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.2.` | Interpolation weight for transformer block 2 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.3.` | Interpolation weight for transformer block 3 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.4.` | Interpolation weight for transformer block 4 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.5.` | Interpolation weight for transformer block 5 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.6.` | Interpolation weight for transformer block 6 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.7.` | Interpolation weight for transformer block 7 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.8.` | Interpolation weight for transformer block 8 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.9.` | Interpolation weight for transformer block 9 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.10.` | Interpolation weight for transformer block 10 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.11.` | Interpolation weight for transformer block 11 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.12.` | Interpolation weight for transformer block 12 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.13.` | Interpolation weight for transformer block 13 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.14.` | Interpolation weight for transformer block 14 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.15.` | Interpolation weight for transformer block 15 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.16.` | Interpolation weight for transformer block 16 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.17.` | Interpolation weight for transformer block 17 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.18.` | Interpolation weight for transformer block 18 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.19.` | Interpolation weight for transformer block 19 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.20.` | Interpolation weight for transformer block 20 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.21.` | Interpolation weight for transformer block 21 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.22.` | Interpolation weight for transformer block 22 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.23.` | Interpolation weight for transformer block 23 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.24.` | Interpolation weight for transformer block 24 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.25.` | Interpolation weight for transformer block 25 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.26.` | Interpolation weight for transformer block 26 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `transformer_blocks.27.` | Interpolation weight for transformer block 27 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `scale_shift_table` | Interpolation weight for scale shift table (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `proj_out.` | Interpolation weight for projection output layers (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The merged model combining features from both input models according to the specified interpolation weights | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The merged model combining features from both input models according to the specified interpolation weights | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeLTXV/en.md) --- **Source fingerprint (SHA-256):** `29ef8750b6e88f71abca10c8aaad5d75c9c32afec057af78842ca82441438922` diff --git a/built-in-nodes/ModelMergeMochiPreview.mdx b/built-in-nodes/ModelMergeMochiPreview.mdx index 7570096e8..d55ff677a 100644 --- a/built-in-nodes/ModelMergeMochiPreview.mdx +++ b/built-in-nodes/ModelMergeMochiPreview.mdx @@ -5,75 +5,75 @@ sidebarTitle: "ModelMergeMochiPreview" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeMochiPreview/en.md) - This node merges two AI models using a block-based approach with fine-grained control over different model components. It allows you to blend models by adjusting interpolation weights for specific sections including positional frequencies, embedding layers, and individual transformer blocks. The merging process combines the architectures and parameters from both input models according to the specified weight values. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | The first model to merge | -| `model2` | MODEL | Yes | - | The second model to merge | -| `pos_frequencies.` | FLOAT | Yes | 0.0 - 1.0 | Weight for positional frequencies interpolation (default: 1.0) | -| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for time embedder interpolation (default: 1.0) | -| `t5_y_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for T5-Y embedder interpolation (default: 1.0) | -| `t5_yproj.` | FLOAT | Yes | 0.0 - 1.0 | Weight for T5-Y projection interpolation (default: 1.0) | -| `blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 0 interpolation (default: 1.0) | -| `blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 1 interpolation (default: 1.0) | -| `blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 2 interpolation (default: 1.0) | -| `blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 3 interpolation (default: 1.0) | -| `blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 4 interpolation (default: 1.0) | -| `blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 5 interpolation (default: 1.0) | -| `blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 6 interpolation (default: 1.0) | -| `blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 7 interpolation (default: 1.0) | -| `blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 8 interpolation (default: 1.0) | -| `blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 9 interpolation (default: 1.0) | -| `blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 10 interpolation (default: 1.0) | -| `blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 11 interpolation (default: 1.0) | -| `blocks.12.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 12 interpolation (default: 1.0) | -| `blocks.13.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 13 interpolation (default: 1.0) | -| `blocks.14.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 14 interpolation (default: 1.0) | -| `blocks.15.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 15 interpolation (default: 1.0) | -| `blocks.16.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 16 interpolation (default: 1.0) | -| `blocks.17.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 17 interpolation (default: 1.0) | -| `blocks.18.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 18 interpolation (default: 1.0) | -| `blocks.19.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 19 interpolation (default: 1.0) | -| `blocks.20.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 20 interpolation (default: 1.0) | -| `blocks.21.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 21 interpolation (default: 1.0) | -| `blocks.22.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 22 interpolation (default: 1.0) | -| `blocks.23.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 23 interpolation (default: 1.0) | -| `blocks.24.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 24 interpolation (default: 1.0) | -| `blocks.25.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 25 interpolation (default: 1.0) | -| `blocks.26.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 26 interpolation (default: 1.0) | -| `blocks.27.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 27 interpolation (default: 1.0) | -| `blocks.28.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 28 interpolation (default: 1.0) | -| `blocks.29.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 29 interpolation (default: 1.0) | -| `blocks.30.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 30 interpolation (default: 1.0) | -| `blocks.31.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 31 interpolation (default: 1.0) | -| `blocks.32.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 32 interpolation (default: 1.0) | -| `blocks.33.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 33 interpolation (default: 1.0) | -| `blocks.34.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 34 interpolation (default: 1.0) | -| `blocks.35.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 35 interpolation (default: 1.0) | -| `blocks.36.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 36 interpolation (default: 1.0) | -| `blocks.37.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 37 interpolation (default: 1.0) | -| `blocks.38.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 38 interpolation (default: 1.0) | -| `blocks.39.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 39 interpolation (default: 1.0) | -| `blocks.40.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 40 interpolation (default: 1.0) | -| `blocks.41.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 41 interpolation (default: 1.0) | -| `blocks.42.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 42 interpolation (default: 1.0) | -| `blocks.43.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 43 interpolation (default: 1.0) | -| `blocks.44.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 44 interpolation (default: 1.0) | -| `blocks.45.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 45 interpolation (default: 1.0) | -| `blocks.46.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 46 interpolation (default: 1.0) | -| `blocks.47.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 47 interpolation (default: 1.0) | -| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Weight for final layer interpolation (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | The first model to merge | MODEL | Yes | - | +| `model2` | The second model to merge | MODEL | Yes | - | +| `pos_frequencies.` | Weight for positional frequencies interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `t_embedder.` | Weight for time embedder interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `t5_y_embedder.` | Weight for T5-Y embedder interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `t5_yproj.` | Weight for T5-Y projection interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.0.` | Weight for block 0 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.1.` | Weight for block 1 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.2.` | Weight for block 2 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.3.` | Weight for block 3 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.4.` | Weight for block 4 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.5.` | Weight for block 5 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.6.` | Weight for block 6 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.7.` | Weight for block 7 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.8.` | Weight for block 8 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.9.` | Weight for block 9 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.10.` | Weight for block 10 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.11.` | Weight for block 11 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.12.` | Weight for block 12 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.13.` | Weight for block 13 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.14.` | Weight for block 14 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.15.` | Weight for block 15 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.16.` | Weight for block 16 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.17.` | Weight for block 17 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.18.` | Weight for block 18 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.19.` | Weight for block 19 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.20.` | Weight for block 20 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.21.` | Weight for block 21 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.22.` | Weight for block 22 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.23.` | Weight for block 23 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.24.` | Weight for block 24 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.25.` | Weight for block 25 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.26.` | Weight for block 26 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.27.` | Weight for block 27 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.28.` | Weight for block 28 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.29.` | Weight for block 29 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.30.` | Weight for block 30 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.31.` | Weight for block 31 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.32.` | Weight for block 32 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.33.` | Weight for block 33 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.34.` | Weight for block 34 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.35.` | Weight for block 35 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.36.` | Weight for block 36 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.37.` | Weight for block 37 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.38.` | Weight for block 38 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.39.` | Weight for block 39 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.40.` | Weight for block 40 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.41.` | Weight for block 41 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.42.` | Weight for block 42 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.43.` | Weight for block 43 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.44.` | Weight for block 44 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.45.` | Weight for block 45 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.46.` | Weight for block 46 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.47.` | Weight for block 47 interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `final_layer.` | Weight for final layer interpolation (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The merged model combining features from both input models according to the specified weights | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The merged model combining features from both input models according to the specified weights | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeMochiPreview/en.md) --- **Source fingerprint (SHA-256):** `aebf536f3f89ca8c81141ac871b1b612082c3bd38a29984168b05eccf0cb57e3` diff --git a/built-in-nodes/ModelMergeQwenImage.mdx b/built-in-nodes/ModelMergeQwenImage.mdx index 06cd293d0..4d3264544 100644 --- a/built-in-nodes/ModelMergeQwenImage.mdx +++ b/built-in-nodes/ModelMergeQwenImage.mdx @@ -5,29 +5,29 @@ sidebarTitle: "ModelMergeQwenImage" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeQwenImage/en.md) - The ModelMergeQwenImage node merges two AI models by combining their components with adjustable weights. It allows you to blend specific parts of Qwen image models, including transformer blocks, positional embeddings, and text processing components. You can control how much influence each model has on different sections of the merged result. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | The first model to merge (default: none) | -| `model2` | MODEL | Yes | - | The second model to merge (default: none) | -| `pos_embeds.` | FLOAT | Yes | 0.0 to 1.0 | Weight for positional embeddings blending (default: 1.0) | -| `img_in.` | FLOAT | Yes | 0.0 to 1.0 | Weight for image input processing blending (default: 1.0) | -| `txt_norm.` | FLOAT | Yes | 0.0 to 1.0 | Weight for text normalization blending (default: 1.0) | -| `txt_in.` | FLOAT | Yes | 0.0 to 1.0 | Weight for text input processing blending (default: 1.0) | -| `time_text_embed.` | FLOAT | Yes | 0.0 to 1.0 | Weight for time and text embedding blending (default: 1.0) | -| `transformer_blocks.0.` to `transformer_blocks.59.` | FLOAT | Yes | 0.0 to 1.0 | Weight for each transformer block blending (default: 1.0) | -| `proj_out.` | FLOAT | Yes | 0.0 to 1.0 | Weight for output projection blending (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | The first model to merge (default: none) | MODEL | Yes | - | +| `model2` | The second model to merge (default: none) | MODEL | Yes | - | +| `pos_embeds.` | Weight for positional embeddings blending (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `img_in.` | Weight for image input processing blending (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `txt_norm.` | Weight for text normalization blending (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `txt_in.` | Weight for text input processing blending (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `time_text_embed.` | Weight for time and text embedding blending (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `transformer_blocks.0.` to `transformer_blocks.59.` | Weight for each transformer block blending (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `proj_out.` | Weight for output projection blending (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The merged model combining components from both input models with the specified weights | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The merged model combining components from both input models with the specified weights | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeQwenImage/en.md) --- **Source fingerprint (SHA-256):** `a0424a3f4d4ffe170471ba463350d741f67ff1b1f5a8a016ad844c111033f97c` diff --git a/built-in-nodes/ModelMergeSD1.mdx b/built-in-nodes/ModelMergeSD1.mdx index b301a3a1a..fe90d3186 100644 --- a/built-in-nodes/ModelMergeSD1.mdx +++ b/built-in-nodes/ModelMergeSD1.mdx @@ -5,52 +5,52 @@ sidebarTitle: "ModelMergeSD1" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD1/en.md) - The ModelMergeSD1 node allows you to blend two Stable Diffusion 1.x models together by adjusting the influence of different model components. It provides individual control over time embedding, label embedding, and all input, middle, and output blocks, enabling fine-tuned model merging for specific use cases. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | The first model to merge | -| `model2` | MODEL | Yes | - | The second model to merge | -| `time_embed.` | FLOAT | Yes | 0.0 - 1.0 | Time embedding layer blending weight (default: 1.0) | -| `label_emb.` | FLOAT | Yes | 0.0 - 1.0 | Label embedding layer blending weight (default: 1.0) | -| `input_blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Input block 0 blending weight (default: 1.0) | -| `input_blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Input block 1 blending weight (default: 1.0) | -| `input_blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Input block 2 blending weight (default: 1.0) | -| `input_blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Input block 3 blending weight (default: 1.0) | -| `input_blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Input block 4 blending weight (default: 1.0) | -| `input_blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Input block 5 blending weight (default: 1.0) | -| `input_blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Input block 6 blending weight (default: 1.0) | -| `input_blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Input block 7 blending weight (default: 1.0) | -| `input_blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Input block 8 blending weight (default: 1.0) | -| `input_blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Input block 9 blending weight (default: 1.0) | -| `input_blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Input block 10 blending weight (default: 1.0) | -| `input_blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Input block 11 blending weight (default: 1.0) | -| `middle_block.0.` | FLOAT | Yes | 0.0 - 1.0 | Middle block 0 blending weight (default: 1.0) | -| `middle_block.1.` | FLOAT | Yes | 0.0 - 1.0 | Middle block 1 blending weight (default: 1.0) | -| `middle_block.2.` | FLOAT | Yes | 0.0 - 1.0 | Middle block 2 blending weight (default: 1.0) | -| `output_blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Output block 0 blending weight (default: 1.0) | -| `output_blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Output block 1 blending weight (default: 1.0) | -| `output_blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Output block 2 blending weight (default: 1.0) | -| `output_blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Output block 3 blending weight (default: 1.0) | -| `output_blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Output block 4 blending weight (default: 1.0) | -| `output_blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Output block 5 blending weight (default: 1.0) | -| `output_blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Output block 6 blending weight (default: 1.0) | -| `output_blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Output block 7 blending weight (default: 1.0) | -| `output_blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Output block 8 blending weight (default: 1.0) | -| `output_blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Output block 9 blending weight (default: 1.0) | -| `output_blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Output block 10 blending weight (default: 1.0) | -| `output_blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Output block 11 blending weight (default: 1.0) | -| `out.` | FLOAT | Yes | 0.0 - 1.0 | Output layer blending weight (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | The first model to merge | MODEL | Yes | - | +| `model2` | The second model to merge | MODEL | Yes | - | +| `time_embed.` | Time embedding layer blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `label_emb.` | Label embedding layer blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.0.` | Input block 0 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.1.` | Input block 1 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.2.` | Input block 2 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.3.` | Input block 3 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.4.` | Input block 4 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.5.` | Input block 5 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.6.` | Input block 6 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.7.` | Input block 7 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.8.` | Input block 8 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.9.` | Input block 9 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.10.` | Input block 10 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.11.` | Input block 11 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `middle_block.0.` | Middle block 0 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `middle_block.1.` | Middle block 1 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `middle_block.2.` | Middle block 2 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.0.` | Output block 0 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.1.` | Output block 1 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.2.` | Output block 2 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.3.` | Output block 3 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.4.` | Output block 4 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.5.` | Output block 5 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.6.` | Output block 6 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.7.` | Output block 7 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.8.` | Output block 8 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.9.` | Output block 9 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.10.` | Output block 10 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.11.` | Output block 11 blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `out.` | Output layer blending weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MODEL` | MODEL | The merged model combining features from both input models | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MODEL` | The merged model combining features from both input models | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD1/en.md) --- **Source fingerprint (SHA-256):** `512c62fb5a4e1b7f90f5ad5b80de5818659a20c8f4b024cfa33ca13b823efad8` diff --git a/built-in-nodes/ModelMergeSD35_Large.mdx b/built-in-nodes/ModelMergeSD35_Large.mdx index bb7b7720b..c4bc5c43d 100644 --- a/built-in-nodes/ModelMergeSD35_Large.mdx +++ b/built-in-nodes/ModelMergeSD35_Large.mdx @@ -5,68 +5,68 @@ sidebarTitle: "ModelMergeSD35_Large" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD35_Large/en.md) - The ModelMergeSD35_Large node allows you to blend two Stable Diffusion 3.5 Large models together by adjusting the influence of different model components. It provides precise control over how much each part of the second model contributes to the final merged model, from embedding layers to joint blocks and final layers. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | The base model that serves as the foundation for merging | -| `model2` | MODEL | Yes | - | The secondary model whose components will be blended into the base model | -| `pos_embed.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of the position embedding from model2 is blended into the merged model (default: 1.0) | -| `x_embedder.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of the x embedder from model2 is blended into the merged model (default: 1.0) | -| `context_embedder.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of the context embedder from model2 is blended into the merged model (default: 1.0) | -| `y_embedder.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of the y embedder from model2 is blended into the merged model (default: 1.0) | -| `t_embedder.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of the t embedder from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.0.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 0 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.1.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 1 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.2.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 2 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.3.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 3 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.4.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 4 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.5.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 5 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.6.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 6 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.7.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 7 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.8.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 8 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.9.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 9 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.10.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 10 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.11.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 11 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.12.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 12 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.13.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 13 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.14.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 14 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.15.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 15 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.16.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 16 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.17.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 17 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.18.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 18 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.19.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 19 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.20.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 20 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.21.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 21 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.22.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 22 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.23.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 23 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.24.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 24 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.25.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 25 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.26.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 26 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.27.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 27 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.28.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 28 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.29.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 29 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.30.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 30 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.31.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 31 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.32.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 32 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.33.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 33 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.34.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 34 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.35.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 35 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.36.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 36 from model2 is blended into the merged model (default: 1.0) | -| `joint_blocks.37.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 37 from model2 is blended into the merged model (default: 1.0) | -| `final_layer.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of the final layer from model2 is blended into the merged model (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | The base model that serves as the foundation for merging | MODEL | Yes | - | +| `model2` | The secondary model whose components will be blended into the base model | MODEL | Yes | - | +| `pos_embed.` | Controls how much of the position embedding from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `x_embedder.` | Controls how much of the x embedder from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `context_embedder.` | Controls how much of the context embedder from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `y_embedder.` | Controls how much of the y embedder from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `t_embedder.` | Controls how much of the t embedder from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.0.` | Controls how much of joint block 0 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.1.` | Controls how much of joint block 1 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.2.` | Controls how much of joint block 2 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.3.` | Controls how much of joint block 3 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.4.` | Controls how much of joint block 4 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.5.` | Controls how much of joint block 5 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.6.` | Controls how much of joint block 6 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.7.` | Controls how much of joint block 7 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.8.` | Controls how much of joint block 8 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.9.` | Controls how much of joint block 9 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.10.` | Controls how much of joint block 10 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.11.` | Controls how much of joint block 11 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.12.` | Controls how much of joint block 12 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.13.` | Controls how much of joint block 13 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.14.` | Controls how much of joint block 14 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.15.` | Controls how much of joint block 15 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.16.` | Controls how much of joint block 16 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.17.` | Controls how much of joint block 17 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.18.` | Controls how much of joint block 18 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.19.` | Controls how much of joint block 19 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.20.` | Controls how much of joint block 20 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.21.` | Controls how much of joint block 21 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.22.` | Controls how much of joint block 22 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.23.` | Controls how much of joint block 23 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.24.` | Controls how much of joint block 24 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.25.` | Controls how much of joint block 25 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.26.` | Controls how much of joint block 26 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.27.` | Controls how much of joint block 27 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.28.` | Controls how much of joint block 28 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.29.` | Controls how much of joint block 29 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.30.` | Controls how much of joint block 30 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.31.` | Controls how much of joint block 31 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.32.` | Controls how much of joint block 32 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.33.` | Controls how much of joint block 33 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.34.` | Controls how much of joint block 34 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.35.` | Controls how much of joint block 35 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.36.` | Controls how much of joint block 36 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `joint_blocks.37.` | Controls how much of joint block 37 from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `final_layer.` | Controls how much of the final layer from model2 is blended into the merged model (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | **Note:** All blend parameters accept values from 0.0 to 1.0, where 0.0 means no contribution from model2 and 1.0 means full contribution from model2 for that specific component. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The resulting merged model combining features from both input models according to the specified blend parameters | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The resulting merged model combining features from both input models according to the specified blend parameters | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD35_Large/en.md) --- **Source fingerprint (SHA-256):** `1b491bd96cc40c6098fd8194f66753bc0f7aa485ea5f97b67b4d864cc9615c9a` diff --git a/built-in-nodes/ModelMergeSD3_2B.mdx b/built-in-nodes/ModelMergeSD3_2B.mdx index fda692cd1..35808d698 100644 --- a/built-in-nodes/ModelMergeSD3_2B.mdx +++ b/built-in-nodes/ModelMergeSD3_2B.mdx @@ -5,52 +5,52 @@ sidebarTitle: "ModelMergeSD3_2B" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD3_2B/en.md) - The ModelMergeSD3_2B node allows you to merge two Stable Diffusion 3 2B models by blending their components with adjustable weights. It provides individual control over embedding layers and transformer blocks, enabling fine-tuned model combinations for specialized generation tasks. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | The first model to merge | -| `model2` | MODEL | Yes | - | The second model to merge | -| `pos_embed.` | FLOAT | Yes | 0.0 - 1.0 | Position embedding interpolation weight (default: 1.0) | -| `x_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Input embedding interpolation weight (default: 1.0) | -| `context_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Context embedding interpolation weight (default: 1.0) | -| `y_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Y embedding interpolation weight (default: 1.0) | -| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Time embedding interpolation weight (default: 1.0) | -| `joint_blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 0 interpolation weight (default: 1.0) | -| `joint_blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 1 interpolation weight (default: 1.0) | -| `joint_blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 2 interpolation weight (default: 1.0) | -| `joint_blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 3 interpolation weight (default: 1.0) | -| `joint_blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 4 interpolation weight (default: 1.0) | -| `joint_blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 5 interpolation weight (default: 1.0) | -| `joint_blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 6 interpolation weight (default: 1.0) | -| `joint_blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 7 interpolation weight (default: 1.0) | -| `joint_blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 8 interpolation weight (default: 1.0) | -| `joint_blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 9 interpolation weight (default: 1.0) | -| `joint_blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 10 interpolation weight (default: 1.0) | -| `joint_blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 11 interpolation weight (default: 1.0) | -| `joint_blocks.12.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 12 interpolation weight (default: 1.0) | -| `joint_blocks.13.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 13 interpolation weight (default: 1.0) | -| `joint_blocks.14.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 14 interpolation weight (default: 1.0) | -| `joint_blocks.15.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 15 interpolation weight (default: 1.0) | -| `joint_blocks.16.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 16 interpolation weight (default: 1.0) | -| `joint_blocks.17.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 17 interpolation weight (default: 1.0) | -| `joint_blocks.18.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 18 interpolation weight (default: 1.0) | -| `joint_blocks.19.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 19 interpolation weight (default: 1.0) | -| `joint_blocks.20.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 20 interpolation weight (default: 1.0) | -| `joint_blocks.21.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 21 interpolation weight (default: 1.0) | -| `joint_blocks.22.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 22 interpolation weight (default: 1.0) | -| `joint_blocks.23.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 23 interpolation weight (default: 1.0) | -| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Final layer interpolation weight (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | The first model to merge | MODEL | Yes | - | +| `model2` | The second model to merge | MODEL | Yes | - | +| `pos_embed.` | Position embedding interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `x_embedder.` | Input embedding interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `context_embedder.` | Context embedding interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `y_embedder.` | Y embedding interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `t_embedder.` | Time embedding interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.0.` | Joint block 0 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.1.` | Joint block 1 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.2.` | Joint block 2 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.3.` | Joint block 3 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.4.` | Joint block 4 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.5.` | Joint block 5 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.6.` | Joint block 6 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.7.` | Joint block 7 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.8.` | Joint block 8 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.9.` | Joint block 9 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.10.` | Joint block 10 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.11.` | Joint block 11 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.12.` | Joint block 12 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.13.` | Joint block 13 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.14.` | Joint block 14 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.15.` | Joint block 15 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.16.` | Joint block 16 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.17.` | Joint block 17 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.18.` | Joint block 18 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.19.` | Joint block 19 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.20.` | Joint block 20 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.21.` | Joint block 21 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.22.` | Joint block 22 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `joint_blocks.23.` | Joint block 23 interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `final_layer.` | Final layer interpolation weight (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The merged model combining features from both input models | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The merged model combining features from both input models | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD3_2B/en.md) --- **Source fingerprint (SHA-256):** `5b0c28c66e1828742873191be424956a9006e59ea1167a5941069ba0b7bc390b` diff --git a/built-in-nodes/ModelMergeSDXL.mdx b/built-in-nodes/ModelMergeSDXL.mdx index 5c37f3b84..c28ae9065 100644 --- a/built-in-nodes/ModelMergeSDXL.mdx +++ b/built-in-nodes/ModelMergeSDXL.mdx @@ -5,46 +5,46 @@ sidebarTitle: "ModelMergeSDXL" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSDXL/en.md) - The ModelMergeSDXL node allows you to blend two SDXL models together by adjusting the influence of each model on different parts of the architecture. You can control how much each model contributes to time embeddings, label embeddings, and various blocks within the model structure. This creates a hybrid model that combines characteristics from both input models. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | The first SDXL model to merge | -| `model2` | MODEL | Yes | - | The second SDXL model to merge | -| `time_embed.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for time embedding layers (default: 1.0) | -| `label_emb.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for label embedding layers (default: 1.0) | -| `input_blocks.0` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 0 (default: 1.0) | -| `input_blocks.1` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 1 (default: 1.0) | -| `input_blocks.2` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 2 (default: 1.0) | -| `input_blocks.3` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 3 (default: 1.0) | -| `input_blocks.4` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 4 (default: 1.0) | -| `input_blocks.5` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 5 (default: 1.0) | -| `input_blocks.6` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 6 (default: 1.0) | -| `input_blocks.7` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 7 (default: 1.0) | -| `input_blocks.8` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 8 (default: 1.0) | -| `middle_block.0` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for middle block 0 (default: 1.0) | -| `middle_block.1` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for middle block 1 (default: 1.0) | -| `middle_block.2` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for middle block 2 (default: 1.0) | -| `output_blocks.0` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 0 (default: 1.0) | -| `output_blocks.1` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 1 (default: 1.0) | -| `output_blocks.2` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 2 (default: 1.0) | -| `output_blocks.3` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 3 (default: 1.0) | -| `output_blocks.4` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 4 (default: 1.0) | -| `output_blocks.5` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 5 (default: 1.0) | -| `output_blocks.6` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 6 (default: 1.0) | -| `output_blocks.7` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 7 (default: 1.0) | -| `output_blocks.8` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 8 (default: 1.0) | -| `out.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output layers (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | The first SDXL model to merge | MODEL | Yes | - | +| `model2` | The second SDXL model to merge | MODEL | Yes | - | +| `time_embed.` | Blending weight for time embedding layers (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `label_emb.` | Blending weight for label embedding layers (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.0` | Blending weight for input block 0 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.1` | Blending weight for input block 1 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.2` | Blending weight for input block 2 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.3` | Blending weight for input block 3 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.4` | Blending weight for input block 4 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.5` | Blending weight for input block 5 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.6` | Blending weight for input block 6 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.7` | Blending weight for input block 7 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `input_blocks.8` | Blending weight for input block 8 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `middle_block.0` | Blending weight for middle block 0 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `middle_block.1` | Blending weight for middle block 1 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `middle_block.2` | Blending weight for middle block 2 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.0` | Blending weight for output block 0 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.1` | Blending weight for output block 1 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.2` | Blending weight for output block 2 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.3` | Blending weight for output block 3 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.4` | Blending weight for output block 4 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.5` | Blending weight for output block 5 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.6` | Blending weight for output block 6 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.7` | Blending weight for output block 7 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `output_blocks.8` | Blending weight for output block 8 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `out.` | Blending weight for output layers (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The merged SDXL model combining characteristics from both input models | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The merged SDXL model combining characteristics from both input models | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSDXL/en.md) --- **Source fingerprint (SHA-256):** `6c7572a6ed50534f2d9ad6f499146763457da58f0c9dd4b85204e67f7d3e9660` diff --git a/built-in-nodes/ModelMergeSimple.mdx b/built-in-nodes/ModelMergeSimple.mdx index e125ca452..7fe27848e 100644 --- a/built-in-nodes/ModelMergeSimple.mdx +++ b/built-in-nodes/ModelMergeSimple.mdx @@ -11,14 +11,16 @@ The `ratio` parameter determines the blending ratio between the two models. When ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model1` | `MODEL` | The first model to be merged. It serves as the base model onto which patches from the second model are applied. | -| `model2` | `MODEL` | The second model whose patches are applied onto the first model, influenced by the specified ratio. | -| `ratio` | `FLOAT` | When this value is 1, the output model is 100% `model1`, and when this value is 0, the output model is 100% `model2`. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model1` | The first model to be merged. It serves as the base model onto which patches from the second model are applied. | `MODEL` | +| `model2` | The second model whose patches are applied onto the first model, influenced by the specified ratio. | `MODEL` | +| `ratio` | When this value is 1, the output model is 100% `model1`, and when this value is 0, the output model is 100% `model2`. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model` | MODEL | The resulting merged model, incorporating elements from both input models according to the specified ratio. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | The resulting merged model, incorporating elements from both input models according to the specified ratio. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSimple/en.md) diff --git a/built-in-nodes/ModelMergeSubtract.mdx b/built-in-nodes/ModelMergeSubtract.mdx index 230290c71..7da596e6c 100644 --- a/built-in-nodes/ModelMergeSubtract.mdx +++ b/built-in-nodes/ModelMergeSubtract.mdx @@ -5,19 +5,20 @@ sidebarTitle: "ModelMergeSubtract" icon: "circle" mode: wide --- - This node is designed for advanced model merging operations, specifically to subtract the parameters of one model from another based on a specified multiplier. It enables the customization of model behaviors by adjusting the influence of one model's parameters over another, facilitating the creation of new, hybrid models. ## Inputs -| Parameter | Data Type | Description | -|---------------|--------------|-------------| -| `model1` | `MODEL` | The base model from which parameters will be subtracted. | -| `model2` | `MODEL` | The model whose parameters will be subtracted from the base model. | -| `multiplier` | `FLOAT` | A floating-point value that scales the subtraction effect on the base model's parameters. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model1` | The base model from which parameters will be subtracted. | `MODEL` | +| `model2` | The model whose parameters will be subtracted from the base model. | `MODEL` | +| `multiplier` | A floating-point value that scales the subtraction effect on the base model's parameters. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model` | MODEL | The resulting model after subtracting the parameters of one model from another, scaled by the multiplier. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | The resulting model after subtracting the parameters of one model from another, scaled by the multiplier. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSubtract/en.md) diff --git a/built-in-nodes/ModelMergeWAN2_1.mdx b/built-in-nodes/ModelMergeWAN2_1.mdx index b39c6c9b8..f2058aae3 100644 --- a/built-in-nodes/ModelMergeWAN2_1.mdx +++ b/built-in-nodes/ModelMergeWAN2_1.mdx @@ -5,70 +5,70 @@ sidebarTitle: "ModelMergeWAN2_1" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeWAN2_1/en.md) - The ModelMergeWAN2_1 node merges two WAN2.1 models by blending their components using weighted averages. It supports different model sizes including 1.3B models with 30 blocks and 14B models with 40 blocks, with special handling for image to video models that include an extra image embedding component. Each component of the models can be individually weighted to control the blending ratio between the two input models. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | Yes | - | First model to merge | -| `model2` | MODEL | Yes | - | Second model to merge | -| `patch_embedding.` | FLOAT | Yes | 0.0 - 1.0 | Weight for patch embedding component (default: 1.0) | -| `time_embedding.` | FLOAT | Yes | 0.0 - 1.0 | Weight for time embedding component (default: 1.0) | -| `time_projection.` | FLOAT | Yes | 0.0 - 1.0 | Weight for time projection component (default: 1.0) | -| `text_embedding.` | FLOAT | Yes | 0.0 - 1.0 | Weight for text embedding component (default: 1.0) | -| `img_emb.` | FLOAT | Yes | 0.0 - 1.0 | Weight for image embedding component, used in image to video models (default: 1.0) | -| `blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 0 (default: 1.0) | -| `blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 1 (default: 1.0) | -| `blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 2 (default: 1.0) | -| `blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 3 (default: 1.0) | -| `blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 4 (default: 1.0) | -| `blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 5 (default: 1.0) | -| `blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 6 (default: 1.0) | -| `blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 7 (default: 1.0) | -| `blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 8 (default: 1.0) | -| `blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 9 (default: 1.0) | -| `blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 10 (default: 1.0) | -| `blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 11 (default: 1.0) | -| `blocks.12.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 12 (default: 1.0) | -| `blocks.13.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 13 (default: 1.0) | -| `blocks.14.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 14 (default: 1.0) | -| `blocks.15.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 15 (default: 1.0) | -| `blocks.16.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 16 (default: 1.0) | -| `blocks.17.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 17 (default: 1.0) | -| `blocks.18.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 18 (default: 1.0) | -| `blocks.19.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 19 (default: 1.0) | -| `blocks.20.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 20 (default: 1.0) | -| `blocks.21.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 21 (default: 1.0) | -| `blocks.22.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 22 (default: 1.0) | -| `blocks.23.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 23 (default: 1.0) | -| `blocks.24.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 24 (default: 1.0) | -| `blocks.25.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 25 (default: 1.0) | -| `blocks.26.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 26 (default: 1.0) | -| `blocks.27.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 27 (default: 1.0) | -| `blocks.28.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 28 (default: 1.0) | -| `blocks.29.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 29 (default: 1.0) | -| `blocks.30.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 30 (default: 1.0) | -| `blocks.31.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 31 (default: 1.0) | -| `blocks.32.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 32 (default: 1.0) | -| `blocks.33.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 33 (default: 1.0) | -| `blocks.34.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 34 (default: 1.0) | -| `blocks.35.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 35 (default: 1.0) | -| `blocks.36.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 36 (default: 1.0) | -| `blocks.37.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 37 (default: 1.0) | -| `blocks.38.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 38 (default: 1.0) | -| `blocks.39.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 39 (default: 1.0) | -| `head.` | FLOAT | Yes | 0.0 - 1.0 | Weight for head component (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model1` | First model to merge | MODEL | Yes | - | +| `model2` | Second model to merge | MODEL | Yes | - | +| `patch_embedding.` | Weight for patch embedding component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `time_embedding.` | Weight for time embedding component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `time_projection.` | Weight for time projection component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `text_embedding.` | Weight for text embedding component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `img_emb.` | Weight for image embedding component, used in image to video models (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.0.` | Weight for block 0 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.1.` | Weight for block 1 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.2.` | Weight for block 2 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.3.` | Weight for block 3 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.4.` | Weight for block 4 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.5.` | Weight for block 5 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.6.` | Weight for block 6 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.7.` | Weight for block 7 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.8.` | Weight for block 8 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.9.` | Weight for block 9 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.10.` | Weight for block 10 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.11.` | Weight for block 11 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.12.` | Weight for block 12 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.13.` | Weight for block 13 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.14.` | Weight for block 14 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.15.` | Weight for block 15 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.16.` | Weight for block 16 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.17.` | Weight for block 17 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.18.` | Weight for block 18 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.19.` | Weight for block 19 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.20.` | Weight for block 20 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.21.` | Weight for block 21 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.22.` | Weight for block 22 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.23.` | Weight for block 23 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.24.` | Weight for block 24 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.25.` | Weight for block 25 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.26.` | Weight for block 26 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.27.` | Weight for block 27 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.28.` | Weight for block 28 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.29.` | Weight for block 29 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.30.` | Weight for block 30 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.31.` | Weight for block 31 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.32.` | Weight for block 32 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.33.` | Weight for block 33 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.34.` | Weight for block 34 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.35.` | Weight for block 35 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.36.` | Weight for block 36 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.37.` | Weight for block 37 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.38.` | Weight for block 38 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `blocks.39.` | Weight for block 39 (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `head.` | Weight for head component (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | **Note:** All weight parameters use a range from 0.0 to 1.0 with 0.01 step increments. The node supports up to 40 blocks to accommodate different model sizes, where 1.3B models use 30 blocks and 14B models use 40 blocks. The `img_emb.` parameter is specifically for image to video models. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The merged model combining components from both input models according to the specified weights | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The merged model combining components from both input models according to the specified weights | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeWAN2_1/en.md) --- **Source fingerprint (SHA-256):** `d550a2f62bbcb4b46ccdd8a04fab80e93f96ea63426d48acb3515d51175efc99` diff --git a/built-in-nodes/ModelNoiseScale.mdx b/built-in-nodes/ModelNoiseScale.mdx index 413cd9bc8..b72672b45 100644 --- a/built-in-nodes/ModelNoiseScale.mdx +++ b/built-in-nodes/ModelNoiseScale.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ModelNoiseScale" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/en.md) - ## Overview This node adjusts the noise scale used during model sampling. It allows you to set a specific noise scale value, which controls the amount of noise applied to the model's sampling process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply the noise scale adjustment to. | -| `noise_scale` | FLOAT | Yes | 0.0 to 64.0 (step: 0.01) | Absolute training noise scale. For example HiDream-O1 base: 8.0, dev: 7.5. (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply the noise scale adjustment to. | MODEL | Yes | - | +| `noise_scale` | Absolute training noise scale. For example HiDream-O1 base: 8.0, dev: 7.5. (default: 1.0) | FLOAT | Yes | 0.0 to 64.0 (step: 0.01) | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MODEL` | MODEL | The modified model with the new noise scale applied. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MODEL` | The modified model with the new noise scale applied. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/en.md) --- **Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190` diff --git a/built-in-nodes/ModelPatchLoader.mdx b/built-in-nodes/ModelPatchLoader.mdx index 58576039a..78f8ef409 100644 --- a/built-in-nodes/ModelPatchLoader.mdx +++ b/built-in-nodes/ModelPatchLoader.mdx @@ -5,21 +5,21 @@ sidebarTitle: "ModelPatchLoader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelPatchLoader/en.md) - The ModelPatchLoader node loads specialized model patches from the model_patches folder. It automatically detects the type of patch file and loads the appropriate model architecture, then wraps it in a ModelPatcher for use in the workflow. This node supports different patch types including controlnet blocks, feature embedder models, and other specialized architectures. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `name` | STRING | Yes | All available model patch files from model_patches folder | The filename of the model patch to load from the model_patches directory | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `name` | The filename of the model patch to load from the model_patches directory | STRING | Yes | All available model patch files from model_patches folder | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MODEL_PATCH` | MODEL_PATCH | The loaded model patch wrapped in a ModelPatcher for use in the workflow | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MODEL_PATCH` | The loaded model patch wrapped in a ModelPatcher for use in the workflow | MODEL_PATCH | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelPatchLoader/en.md) --- **Source fingerprint (SHA-256):** `e394e165cf416019ed53d9fde42d97c3c9b9f9afd843b12371a624467a4841bf` diff --git a/built-in-nodes/ModelSamplingAuraFlow.mdx b/built-in-nodes/ModelSamplingAuraFlow.mdx index f07262862..a14435861 100644 --- a/built-in-nodes/ModelSamplingAuraFlow.mdx +++ b/built-in-nodes/ModelSamplingAuraFlow.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ModelSamplingAuraFlow" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingAuraFlow/en.md) - The ModelSamplingAuraFlow node applies a specialized sampling configuration to diffusion models, specifically designed for AuraFlow model architectures. It modifies the model's sampling behavior by applying a shift parameter that adjusts the sampling distribution. This node inherits from the SD3 model sampling framework and provides fine control over the sampling process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model to apply the AuraFlow sampling configuration to | -| `shift` | FLOAT | Yes | 0.0 - 100.0 | The shift value to apply to the sampling distribution (default: 1.73) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to apply the AuraFlow sampling configuration to | MODEL | Yes | - | +| `shift` | The shift value to apply to the sampling distribution (default: 1.73) | FLOAT | Yes | 0.0 - 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with AuraFlow sampling configuration applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with AuraFlow sampling configuration applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingAuraFlow/en.md) --- **Source fingerprint (SHA-256):** `f49367534032fb2d697d16e8197c16dc761678a5e39990993bdc864bfccea314` diff --git a/built-in-nodes/ModelSamplingContinuousEDM.mdx b/built-in-nodes/ModelSamplingContinuousEDM.mdx index 74a16eb87..70eb85516 100644 --- a/built-in-nodes/ModelSamplingContinuousEDM.mdx +++ b/built-in-nodes/ModelSamplingContinuousEDM.mdx @@ -5,20 +5,21 @@ sidebarTitle: "ModelSamplingContinuousEDM" icon: "circle" mode: wide --- - This node is designed to enhance a model's sampling capabilities by integrating continuous EDM (Energy-based Diffusion Models) sampling techniques. It allows for the dynamic adjustment of the noise levels within the model's sampling process, offering a more refined control over the generation quality and diversity. ## Inputs -| Parameter | Data Type | Python dtype | Description | -|-------------|--------------|----------------------|-------------| -| `model` | `MODEL` | `torch.nn.Module` | The model to be enhanced with continuous EDM sampling capabilities. It serves as the foundation for applying the advanced sampling techniques. | -| `sampling` | COMBO[STRING] | `str` | Specifies the type of sampling to be applied, either 'eps' for epsilon sampling or 'v_prediction' for velocity prediction, influencing the model's behavior during the sampling process. | -| `sigma_max` | `FLOAT` | `float` | The maximum sigma value for noise level, allowing for upper bound control in the noise injection process during sampling. | -| `sigma_min` | `FLOAT` | `float` | The minimum sigma value for noise level, setting the lower limit for noise injection, thus affecting the model's sampling precision. | +| Parameter | Description | Data Type | Python dtype | +| --- | --- | --- | --- | +| `model` | The model to be enhanced with continuous EDM sampling capabilities. It serves as the foundation for applying the advanced sampling techniques. | `MODEL` | `torch.nn.Module` | +| `sampling` | Specifies the type of sampling to be applied, either 'eps' for epsilon sampling or 'v_prediction' for velocity prediction, influencing the model's behavior during the sampling process. | COMBO[STRING] | `str` | +| `sigma_max` | The maximum sigma value for noise level, allowing for upper bound control in the noise injection process during sampling. | `FLOAT` | `float` | +| `sigma_min` | The minimum sigma value for noise level, setting the lower limit for noise injection, thus affecting the model's sampling precision. | `FLOAT` | `float` | ## Outputs -| Parameter | Data Type | Python dtype | Description | -|-----------|-------------|----------------------|-------------| -| `model` | MODEL | `torch.nn.Module` | The enhanced model with integrated continuous EDM sampling capabilities, ready for further use in generation tasks. | +| Parameter | Description | Data Type | Python dtype | +| --- | --- | --- | --- | +| `model` | The enhanced model with integrated continuous EDM sampling capabilities, ready for further use in generation tasks. | MODEL | `torch.nn.Module` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousEDM/en.md) diff --git a/built-in-nodes/ModelSamplingContinuousV.mdx b/built-in-nodes/ModelSamplingContinuousV.mdx index 631ea096a..768703897 100644 --- a/built-in-nodes/ModelSamplingContinuousV.mdx +++ b/built-in-nodes/ModelSamplingContinuousV.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ModelSamplingContinuousV" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousV/en.md) - The ModelSamplingContinuousV node modifies a model's sampling behavior by applying continuous V-prediction sampling parameters. It creates a clone of the input model and configures it with custom sigma range settings for advanced sampling control. This allows users to fine-tune the sampling process with specific minimum and maximum sigma values. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The input model to be modified with continuous V-prediction sampling | -| `sampling` | STRING | Yes | `"v_prediction"` | The sampling method to apply (currently only V-prediction is supported) | -| `sigma_max` | FLOAT | Yes | 0.0 - 1000.0 | The maximum sigma value for sampling (default: 500.0) | -| `sigma_min` | FLOAT | Yes | 0.0 - 1000.0 | The minimum sigma value for sampling (default: 0.03) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The input model to be modified with continuous V-prediction sampling | MODEL | Yes | - | +| `sampling` | The sampling method to apply (currently only V-prediction is supported) | STRING | Yes | `"v_prediction"` | +| `sigma_max` | The maximum sigma value for sampling (default: 500.0) | FLOAT | Yes | 0.0 - 1000.0 | +| `sigma_min` | The minimum sigma value for sampling (default: 0.03) | FLOAT | Yes | 0.0 - 1000.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with continuous V-prediction sampling applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with continuous V-prediction sampling applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousV/en.md) --- **Source fingerprint (SHA-256):** `8095b5024c0d33011f6a81ed496cf1711981701e0f35f9527646b150f5033d45` diff --git a/built-in-nodes/ModelSamplingDiscrete.mdx b/built-in-nodes/ModelSamplingDiscrete.mdx index d65eeda6f..dd317e266 100644 --- a/built-in-nodes/ModelSamplingDiscrete.mdx +++ b/built-in-nodes/ModelSamplingDiscrete.mdx @@ -5,19 +5,20 @@ sidebarTitle: "ModelSamplingDiscrete" icon: "circle" mode: wide --- - This node is designed to modify the sampling behavior of a model by applying a discrete sampling strategy. It allows for the selection of different sampling methods, such as epsilon, v_prediction, lcm, or x0, and optionally adjusts the model's noise reduction strategy based on the zero-shot noise ratio (zsnr) setting. ## Inputs -| Parameter | Data Type | Python dtype | Description | -|-----------|--------------|-------------------|-------------| -| `model` | MODEL | `torch.nn.Module` | The model to which the discrete sampling strategy will be applied. This parameter is crucial as it defines the base model that will undergo modification. | -| `sampling`| COMBO[STRING] | `str` | Specifies the discrete sampling method to be applied to the model. The choice of method affects how the model generates samples, offering different strategies for sampling. | -| `zsnr` | `BOOLEAN` | `bool` | A boolean flag that, when enabled, adjusts the model's noise reduction strategy based on the zero-shot noise ratio. This can influence the quality and characteristics of the generated samples. | +| Parameter | Description | Data Type | Python dtype | +| --- | --- | --- | --- | +| `model` | The model to which the discrete sampling strategy will be applied. This parameter is crucial as it defines the base model that will undergo modification. | MODEL | `torch.nn.Module` | +| `sampling` | Specifies the discrete sampling method to be applied to the model. The choice of method affects how the model generates samples, offering different strategies for sampling. | COMBO[STRING] | `str` | +| `zsnr` | A boolean flag that, when enabled, adjusts the model's noise reduction strategy based on the zero-shot noise ratio. This can influence the quality and characteristics of the generated samples. | `BOOLEAN` | `bool` | ## Outputs -| Parameter | Data Type | Python dtype | Description | -|-----------|-------------|-------------------|-------------| -| `model` | MODEL | `torch.nn.Module` | The modified model with the applied discrete sampling strategy. This model is now equipped to generate samples using the specified method and adjustments. | +| Parameter | Description | Data Type | Python dtype | +| --- | --- | --- | --- | +| `model` | The modified model with the applied discrete sampling strategy. This model is now equipped to generate samples using the specified method and adjustments. | MODEL | `torch.nn.Module` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingDiscrete/en.md) diff --git a/built-in-nodes/ModelSamplingFlux.mdx b/built-in-nodes/ModelSamplingFlux.mdx index 28ffd0014..de9cf8748 100644 --- a/built-in-nodes/ModelSamplingFlux.mdx +++ b/built-in-nodes/ModelSamplingFlux.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ModelSamplingFlux" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingFlux/en.md) - The ModelSamplingFlux node applies Flux model sampling to a given model by calculating a shift parameter based on image dimensions. It creates a specialized sampling configuration that adjusts the model's behavior according to the specified width, height, and shift parameters, then returns the modified model with the new sampling settings applied. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply Flux sampling to | -| `max_shift` | FLOAT | Yes | 0.0 - 100.0 | Maximum shift value for sampling calculation (default: 1.15) | -| `base_shift` | FLOAT | Yes | 0.0 - 100.0 | Base shift value for sampling calculation (default: 0.5) | -| `width` | INT | Yes | 16 - MAX_RESOLUTION | Width of the target image in pixels (default: 1024) | -| `height` | INT | Yes | 16 - MAX_RESOLUTION | Height of the target image in pixels (default: 1024) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply Flux sampling to | MODEL | Yes | - | +| `max_shift` | Maximum shift value for sampling calculation (default: 1.15) | FLOAT | Yes | 0.0 - 100.0 | +| `base_shift` | Base shift value for sampling calculation (default: 0.5) | FLOAT | Yes | 0.0 - 100.0 | +| `width` | Width of the target image in pixels (default: 1024) | INT | Yes | 16 - MAX_RESOLUTION | +| `height` | Height of the target image in pixels (default: 1024) | INT | Yes | 16 - MAX_RESOLUTION | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with Flux sampling configuration applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with Flux sampling configuration applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingFlux/en.md) --- **Source fingerprint (SHA-256):** `35733ab0cd032884ceada13715cf51e626586844e8e575471a5ba7cf8a1e5e49` diff --git a/built-in-nodes/ModelSamplingLTXV.mdx b/built-in-nodes/ModelSamplingLTXV.mdx index 0f3519675..72d42e99a 100644 --- a/built-in-nodes/ModelSamplingLTXV.mdx +++ b/built-in-nodes/ModelSamplingLTXV.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ModelSamplingLTXV" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingLTXV/en.md) - The ModelSamplingLTXV node applies advanced sampling parameters to a model based on token count. It calculates a shift value using a linear interpolation between base and maximum shift values, with the calculation depending on the number of tokens in the input latent. The node then creates a specialized model sampling configuration and applies it to the input model. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The input model to apply sampling parameters to | -| `max_shift` | FLOAT | Yes | 0.0 to 100.0 | The maximum shift value used in the linear interpolation calculation (default: 2.05) | -| `base_shift` | FLOAT | Yes | 0.0 to 100.0 | The base shift value used in the linear interpolation calculation (default: 0.95) | -| `latent` | LATENT | No | - | Optional latent input used to determine the token count for the shift calculation. If not provided, a default token count of 4096 is used | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The input model to apply sampling parameters to | MODEL | Yes | - | +| `max_shift` | The maximum shift value used in the linear interpolation calculation (default: 2.05) | FLOAT | Yes | 0.0 to 100.0 | +| `base_shift` | The base shift value used in the linear interpolation calculation (default: 0.95) | FLOAT | Yes | 0.0 to 100.0 | +| `latent` | Optional latent input used to determine the token count for the shift calculation. If not provided, a default token count of 4096 is used | LATENT | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with the applied sampling parameters | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with the applied sampling parameters | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingLTXV/en.md) --- **Source fingerprint (SHA-256):** `09c7628837c3961ad233bcd7e20b20cebb1f7558c0e7f5629d31964c16981a59` diff --git a/built-in-nodes/ModelSamplingSD3.mdx b/built-in-nodes/ModelSamplingSD3.mdx index ba1137624..4b85a840b 100644 --- a/built-in-nodes/ModelSamplingSD3.mdx +++ b/built-in-nodes/ModelSamplingSD3.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ModelSamplingSD3" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingSD3/en.md) - The ModelSamplingSD3 node applies Stable Diffusion 3 sampling parameters to a model. It modifies the model's sampling behavior by adjusting the shift parameter, which controls the sampling distribution characteristics. The node creates a modified copy of the input model with the specified sampling configuration applied. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The input model to apply SD3 sampling parameters to | -| `shift` | FLOAT | Yes | 0.0 - 100.0 | Controls the sampling shift parameter (default: 3.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The input model to apply SD3 sampling parameters to | MODEL | Yes | - | +| `shift` | Controls the sampling shift parameter (default: 3.0) | FLOAT | Yes | 0.0 - 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with SD3 sampling parameters applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with SD3 sampling parameters applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingSD3/en.md) --- **Source fingerprint (SHA-256):** `410fbe0ce16c7e22733ff1e2124c24634a2c6752a882e1c97763b35666882e5f` diff --git a/built-in-nodes/ModelSamplingStableCascade.mdx b/built-in-nodes/ModelSamplingStableCascade.mdx index 67e84b19c..57bd396f0 100644 --- a/built-in-nodes/ModelSamplingStableCascade.mdx +++ b/built-in-nodes/ModelSamplingStableCascade.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ModelSamplingStableCascade" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingStableCascade/en.md) - The ModelSamplingStableCascade node applies stable cascade sampling to a model by adjusting the sampling parameters with a shift value. It creates a modified version of the input model with custom sampling configuration for stable cascade generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The input model to apply stable cascade sampling to | -| `shift` | FLOAT | Yes | 0.0 - 100.0 | The shift value to apply to the sampling parameters (default: 2.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The input model to apply stable cascade sampling to | MODEL | Yes | - | +| `shift` | The shift value to apply to the sampling parameters (default: 2.0) | FLOAT | Yes | 0.0 - 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with stable cascade sampling applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with stable cascade sampling applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingStableCascade/en.md) --- **Source fingerprint (SHA-256):** `2d0a342fff05434c8fe78999187bd31dbee7deb6f4447759a489102a8ce277de` diff --git a/built-in-nodes/ModelSave.mdx b/built-in-nodes/ModelSave.mdx index 69da1ca4e..f0d67a212 100644 --- a/built-in-nodes/ModelSave.mdx +++ b/built-in-nodes/ModelSave.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ModelSave" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSave/en.md) - The ModelSave node saves trained or modified models to your computer's storage. It takes a model as input and writes it to a file with your specified filename. This allows you to preserve your work and reuse models in future projects. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to be saved to disk | -| `filename_prefix` | STRING | Yes | - | The filename and path prefix for the saved model file (default: "diffusion_models/ComfyUI") | -| `prompt` | PROMPT | No | - | Workflow prompt information (automatically provided) | -| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Additional workflow metadata (automatically provided) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to be saved to disk | MODEL | Yes | - | +| `filename_prefix` | The filename and path prefix for the saved model file (default: "diffusion_models/ComfyUI") | STRING | Yes | - | +| `prompt` | Workflow prompt information (automatically provided) | PROMPT | No | - | +| `extra_pnginfo` | Additional workflow metadata (automatically provided) | EXTRA_PNGINFO | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| *None* | - | This node does not return any output values | +| Output Name | Description | Data Type | +| --- | --- | --- | +| *None* | This node does not return any output values | - | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSave/en.md) --- **Source fingerprint (SHA-256):** `1dda8a6d85aa19b739c1fe3e6e7f816e05011044fc8b0b91b23fa303f71d8b19` diff --git a/built-in-nodes/MoonvalleyImg2VideoNode.mdx b/built-in-nodes/MoonvalleyImg2VideoNode.mdx index c2f2a6a70..fd5aa4c96 100644 --- a/built-in-nodes/MoonvalleyImg2VideoNode.mdx +++ b/built-in-nodes/MoonvalleyImg2VideoNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "MoonvalleyImg2VideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyImg2VideoNode/en.md) - The Moonvalley Marey Image to Video node transforms a reference image into a video using the Moonvalley API. It takes an input image and a text prompt to generate a video with specified resolution, quality settings, and creative controls. The node handles the entire process from image upload to video generation and download. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The reference image used to generate the video | -| `prompt` | STRING | Yes | - | Text description for video generation (multiline input) | -| `negative_prompt` | STRING | No | - | Negative prompt text to exclude unwanted elements (default: extensive negative prompt list) | -| `resolution` | COMBO | No | "16:9 (1920 x 1080)"
"9:16 (1080 x 1920)"
"1:1 (1152 x 1152)"
"4:3 (1536 x 1152)"
"3:4 (1152 x 1536)" | Resolution of the output video (default: "16:9 (1920 x 1080)") | -| `prompt_adherence` | FLOAT | No | 1.0 - 20.0 | Guidance scale for generation control (default: 4.5, step: 1.0) | -| `seed` | INT | No | 0 - 4294967295 | Random seed value (default: 9, control after generate enabled) | -| `steps` | INT | No | 1 - 100 | Number of denoising steps (default: 33, step: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The reference image used to generate the video | IMAGE | Yes | - | +| `prompt` | Text description for video generation (multiline input) | STRING | Yes | - | +| `negative_prompt` | Negative prompt text to exclude unwanted elements (default: extensive negative prompt list) | STRING | No | - | +| `resolution` | Resolution of the output video (default: "16:9 (1920 x 1080)") | COMBO | No | "16:9 (1920 x 1080)"
"9:16 (1080 x 1920)"
"1:1 (1152 x 1152)"
"4:3 (1536 x 1152)"
"3:4 (1152 x 1536)" | +| `prompt_adherence` | Guidance scale for generation control (default: 4.5, step: 1.0) | FLOAT | No | 1.0 - 20.0 | +| `seed` | Random seed value (default: 9, control after generate enabled) | INT | No | 0 - 4294967295 | +| `steps` | Number of denoising steps (default: 33, step: 1) | INT | No | 1 - 100 | **Constraints:** @@ -28,9 +26,11 @@ The Moonvalley Marey Image to Video node transforms a reference image into a vid ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video output | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video output | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyImg2VideoNode/en.md) --- **Source fingerprint (SHA-256):** `674e69a7f106f6f961f10c179008b7bb1147bf0e569c72d207a105f3fab2aaf5` diff --git a/built-in-nodes/MoonvalleyTxt2VideoNode.mdx b/built-in-nodes/MoonvalleyTxt2VideoNode.mdx index f2c714f15..87cabb0c9 100644 --- a/built-in-nodes/MoonvalleyTxt2VideoNode.mdx +++ b/built-in-nodes/MoonvalleyTxt2VideoNode.mdx @@ -5,26 +5,26 @@ sidebarTitle: "MoonvalleyTxt2VideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyTxt2VideoNode/en.md) - The Moonvalley Marey Text to Video node generates video content from text descriptions using the Moonvalley API. It takes a text prompt and converts it into a video with customizable settings for resolution, quality, and style. The node handles the entire process from sending the generation request to downloading the final video output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Text description of the video content to generate | -| `negative_prompt` | STRING | No | - | Negative prompt text (default: extensive list of excluded elements like synthetic, scene cut, artifacts, noise, etc.) | -| `resolution` | STRING | No | "16:9 (1920 x 1080)"
"9:16 (1080 x 1920)"
"1:1 (1152 x 1152)"
"4:3 (1536 x 1152)"
"3:4 (1152 x 1536)"
"21:9 (2560 x 1080)" | Resolution of the output video (default: "16:9 (1920 x 1080)") | -| `prompt_adherence` | FLOAT | No | 1.0-20.0 | Guidance scale for generation control (default: 4.0) | -| `seed` | INT | No | 0-4294967295 | Random seed value (default: 9) | -| `steps` | INT | No | 1-100 | Inference steps (default: 33) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text description of the video content to generate | STRING | Yes | - | +| `negative_prompt` | Negative prompt text (default: extensive list of excluded elements like synthetic, scene cut, artifacts, noise, etc.) | STRING | No | - | +| `resolution` | Resolution of the output video (default: "16:9 (1920 x 1080)") | STRING | No | "16:9 (1920 x 1080)"
"9:16 (1080 x 1920)"
"1:1 (1152 x 1152)"
"4:3 (1536 x 1152)"
"3:4 (1152 x 1536)"
"21:9 (2560 x 1080)" | +| `prompt_adherence` | Guidance scale for generation control (default: 4.0) | FLOAT | No | 1.0-20.0 | +| `seed` | Random seed value (default: 9) | INT | No | 0-4294967295 | +| `steps` | Inference steps (default: 33) | INT | No | 1-100 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The generated video output based on the text prompt | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The generated video output based on the text prompt | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyTxt2VideoNode/en.md) --- **Source fingerprint (SHA-256):** `3654043567d7aca3af741d706ee07a8d2e28dbeb4b5b8755514b790aa7c1bd41` diff --git a/built-in-nodes/MoonvalleyVideo2VideoNode.mdx b/built-in-nodes/MoonvalleyVideo2VideoNode.mdx index e6369c639..782491173 100644 --- a/built-in-nodes/MoonvalleyVideo2VideoNode.mdx +++ b/built-in-nodes/MoonvalleyVideo2VideoNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "MoonvalleyVideo2VideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyVideo2VideoNode/en.md) - The Moonvalley Marey Video to Video node transforms an input video into a new video based on a text description. It uses the Moonvalley API to generate videos that match your prompt while preserving motion or pose characteristics from the original video. You can control the style and content of the output video through text prompts and various generation parameters. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Describes the video to generate (multiline input) | -| `negative_prompt` | STRING | No | - | Negative prompt text (default: extensive list of negative descriptors) | -| `seed` | INT | Yes | 0 to 4294967295 | Random seed value (default: 9) | -| `video` | VIDEO | Yes | - | The reference video used to generate the output video. Must be at least 5 seconds long. Videos longer than 5s will be automatically trimmed. Only MP4 format supported. | -| `control_type` | COMBO | No | "Motion Transfer"
"Pose Transfer" | Control type selection (default: "Motion Transfer") | -| `motion_intensity` | INT | No | 0 to 100 | Only used if control_type is "Motion Transfer" (default: 100) | -| `steps` | INT | Yes | 1 to 100 | Number of inference steps (default: 33) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Describes the video to generate (multiline input) | STRING | Yes | - | +| `negative_prompt` | Negative prompt text (default: extensive list of negative descriptors) | STRING | No | - | +| `seed` | Random seed value (default: 9) | INT | Yes | 0 to 4294967295 | +| `video` | The reference video used to generate the output video. Must be at least 5 seconds long. Videos longer than 5s will be automatically trimmed. Only MP4 format supported. | VIDEO | Yes | - | +| `control_type` | Control type selection (default: "Motion Transfer") | COMBO | No | "Motion Transfer"
"Pose Transfer" | +| `motion_intensity` | Only used if control_type is "Motion Transfer" (default: 100) | INT | No | 0 to 100 | +| `steps` | Number of inference steps (default: 33) | INT | Yes | 1 to 100 | **Note:** The `motion_intensity` parameter is only applied when `control_type` is set to "Motion Transfer". When using "Pose Transfer", this parameter is ignored. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video output | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video output | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyVideo2VideoNode/en.md) --- **Source fingerprint (SHA-256):** `8202a4be469afa16d77b9e0287c290b9c3f390347fc60f23878f50fd95a758e0` diff --git a/built-in-nodes/Morphology.mdx b/built-in-nodes/Morphology.mdx index 63de27b76..4fe99cf5e 100644 --- a/built-in-nodes/Morphology.mdx +++ b/built-in-nodes/Morphology.mdx @@ -5,23 +5,23 @@ sidebarTitle: "Morphology" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Morphology/en.md) - The Morphology node applies various morphological operations to images, which are mathematical operations used to process and analyze shapes in images. It can perform operations like erosion, dilation, opening, closing, and more using a customizable kernel size to control the effect strength. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to process | -| `operation` | STRING | Yes | `"erode"`
`"dilate"`
`"open"`
`"close"`
`"gradient"`
`"bottom_hat"`
`"top_hat"` | The morphological operation to apply (default: "erode") | -| `kernel_size` | INT | Yes | 3-999 | The size of the structuring element kernel (default: 3). Must be an odd number. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to process | IMAGE | Yes | - | +| `operation` | The morphological operation to apply (default: "erode") | STRING | Yes | `"erode"`
`"dilate"`
`"open"`
`"close"`
`"gradient"`
`"bottom_hat"`
`"top_hat"` | +| `kernel_size` | The size of the structuring element kernel (default: 3). Must be an odd number. | INT | Yes | 3-999 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The processed image after applying the morphological operation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The processed image after applying the morphological operation | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Morphology/en.md) --- **Source fingerprint (SHA-256):** `ea596f8d30975f153fccbc5651eec0fbbf308ef1c616313d996c200cddf748e3` diff --git a/built-in-nodes/MultiGPU_Options.mdx b/built-in-nodes/MultiGPU_Options.mdx index f9188a7df..840f8bbff 100644 --- a/built-in-nodes/MultiGPU_Options.mdx +++ b/built-in-nodes/MultiGPU_Options.mdx @@ -5,27 +5,27 @@ sidebarTitle: "MultiGPU_Options" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_Options/en.md) - ## Overview This node allows you to specify the relative performance of each GPU when using multiple graphics cards with different speeds. It creates a group of GPU options that can be used to distribute work across devices, though the actual speed-based workload distribution is not yet implemented in the current version. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `device_index` | INT | Yes | 0 to 64 | The index number of the GPU device to configure (default: 0) | -| `relative_speed` | FLOAT | Yes | 0.0 to unlimited | The relative speed of this GPU compared to others, used for workload distribution (default: 1.0, step: 0.01) | -| `gpu_options` | GPU_OPTIONS | No | - | An existing GPU options group to add this device's options to. If not provided, a new group is created | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `device_index` | The index number of the GPU device to configure (default: 0) | INT | Yes | 0 to 64 | +| `relative_speed` | The relative speed of this GPU compared to others, used for workload distribution (default: 1.0, step: 0.01) | FLOAT | Yes | 0.0 to unlimited | +| `gpu_options` | An existing GPU options group to add this device's options to. If not provided, a new group is created | GPU_OPTIONS | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `GPU_OPTIONS` | GPU_OPTIONS | A group of GPU options containing the configured device settings, which can be passed to other nodes for multi-GPU operations | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `GPU_OPTIONS` | A group of GPU options containing the configured device settings, which can be passed to other nodes for multi-GPU operations | GPU_OPTIONS | **Note:** The `relative_speed` parameter is defined but not yet used by the internal scheduler for distributing work across GPUs. In the current implementation, work is distributed evenly across all devices regardless of their relative speeds. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_Options/en.md) + --- **Source fingerprint (SHA-256):** `8010460560a69c57d4ee0d8c3728a7a5d999e56ef5316b557fba0c660c9f38b0` diff --git a/built-in-nodes/MultiGPU_WorkUnits.mdx b/built-in-nodes/MultiGPU_WorkUnits.mdx index e67ac49c2..a3fa38fc7 100644 --- a/built-in-nodes/MultiGPU_WorkUnits.mdx +++ b/built-in-nodes/MultiGPU_WorkUnits.mdx @@ -35,16 +35,16 @@ Any homogeneous dual GPU setups with Ampere+ architecture (e.g 2 x 3090 or 2 x R ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | N/A | The model to prepare for MultiGPU CFG splitting before sampling. | -| `max_gpus` | INT | Yes | Minimum: 1
Step: 1
Default: 2 | The maximum number of identical GPUs to use for splitting the workload. Set this to the number of matching GPUs installed in your system. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to prepare for MultiGPU CFG splitting before sampling. | MODEL | Yes | N/A | +| `max_gpus` | The maximum number of identical GPUs to use for splitting the workload. Set this to the number of matching GPUs installed in your system. | INT | Yes | Minimum: 1
Step: 1
Default: 2 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MODEL` | MODEL | The model prepared for MultiGPU CFG splitting, ready for accelerated sampling. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MODEL` | The model prepared for MultiGPU CFG splitting, ready for accelerated sampling. | MODEL | ## Node: @@ -68,5 +68,7 @@ You should see activity on both installed GPUs while the sampler is running in t [Sample workflow (Wan 2.2 FP8)](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/MultiGPU_WorkUnits/asset/video_wan2_2_14B_t2v_mGPU.json) +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_WorkUnits/en.md) + --- **Source fingerprint (SHA-256):** `7293ee785e29aea9a1a70a10444b99e89fb23c866505628ec57c209a2b8aaee0` diff --git a/built-in-nodes/NAGuidance.mdx b/built-in-nodes/NAGuidance.mdx index 5ad620a6b..b6172b434 100644 --- a/built-in-nodes/NAGuidance.mdx +++ b/built-in-nodes/NAGuidance.mdx @@ -5,24 +5,24 @@ sidebarTitle: "NAGuidance" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NAGuidance/en.md) - The NAGuidance node applies Normalized Attention Guidance to a model. This technique enables the use of negative prompts with distilled or schnell models by modifying the model's attention mechanism during the sampling process to steer the generation away from undesired concepts. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply Normalized Attention Guidance to. | -| `nag_scale` | FLOAT | Yes | 0.0 - 50.0 | The guidance scale factor. Higher values push the generation further from the negative prompt. (default: 5.0) | -| `nag_alpha` | FLOAT | Yes | 0.0 - 1.0 | The blending factor for the normalized attention. A value of 1.0 fully replaces the original attention, while 0.0 has no effect. (default: 0.5) | -| `nag_tau` | FLOAT | Yes | 1.0 - 10.0 | A scaling factor used to limit the normalization ratio. (default: 1.5) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply Normalized Attention Guidance to. | MODEL | Yes | - | +| `nag_scale` | The guidance scale factor. Higher values push the generation further from the negative prompt. (default: 5.0) | FLOAT | Yes | 0.0 - 50.0 | +| `nag_alpha` | The blending factor for the normalized attention. A value of 1.0 fully replaces the original attention, while 0.0 has no effect. (default: 0.5) | FLOAT | Yes | 0.0 - 1.0 | +| `nag_tau` | A scaling factor used to limit the normalization ratio. (default: 1.5) | FLOAT | Yes | 1.0 - 10.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The patched model with Normalized Attention Guidance enabled. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The patched model with Normalized Attention Guidance enabled. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NAGuidance/en.md) --- **Source fingerprint (SHA-256):** `42b4d601312dcbb1c934c6a79bbb5e9fd6598fa5f32b18f5c0affcb596672cba` diff --git a/built-in-nodes/NormalizeImages.mdx b/built-in-nodes/NormalizeImages.mdx index c290301c9..63c8de05b 100644 --- a/built-in-nodes/NormalizeImages.mdx +++ b/built-in-nodes/NormalizeImages.mdx @@ -5,23 +5,23 @@ sidebarTitle: "NormalizeImages" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeImages/en.md) - This node adjusts the pixel values of an input image using a mathematical normalization process. It subtracts a specified mean value from each pixel and then divides the result by a specified standard deviation. This is a common preprocessing step to prepare image data for other machine learning models. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be normalized. | -| `mean` | FLOAT | No | 0.0 - 1.0 | Mean value for normalization (default: 0.5). | -| `std` | FLOAT | No | 0.001 - 1.0 | Standard deviation for normalization (default: 0.5). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be normalized. | IMAGE | Yes | - | +| `mean` | Mean value for normalization (default: 0.5). | FLOAT | No | 0.0 - 1.0 | +| `std` | Standard deviation for normalization (default: 0.5). | FLOAT | No | 0.001 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The resulting image after the normalization process has been applied. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The resulting image after the normalization process has been applied. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeImages/en.md) --- **Source fingerprint (SHA-256):** `881e14dbbd8d380960a72b828609861a01a88a397f296dcb134955928afff039` diff --git a/built-in-nodes/NormalizeVideoLatentStart.mdx b/built-in-nodes/NormalizeVideoLatentStart.mdx index 08db5d9f6..701bfc016 100644 --- a/built-in-nodes/NormalizeVideoLatentStart.mdx +++ b/built-in-nodes/NormalizeVideoLatentStart.mdx @@ -5,25 +5,25 @@ sidebarTitle: "NormalizeVideoLatentStart" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/en.md) - This node adjusts the first few frames of a video latent to make them look more like the frames that come after. It calculates the average and variation from a set of reference frames later in the video and applies those same characteristics to the starting frames. This helps create a smoother and more consistent visual transition at the beginning of a video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `latent` | LATENT | Yes | - | The video latent representation to process. | -| `start_frame_count` | INT | Yes | 1 to 16384 (max resolution) | Number of latent frames to normalize, counted from the start (default: 4). | -| `reference_frame_count` | INT | Yes | 1 to 16384 (max resolution) | Number of latent frames after the start frames to use as reference (default: 5). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `latent` | The video latent representation to process. | LATENT | Yes | - | +| `start_frame_count` | Number of latent frames to normalize, counted from the start (default: 4). | INT | Yes | 1 to 16384 (max resolution) | +| `reference_frame_count` | Number of latent frames after the start frames to use as reference (default: 5). | INT | Yes | 1 to 16384 (max resolution) | **Note:** The `reference_frame_count` is automatically limited to the number of frames available after the starting frames. If the video latent is only 1 frame long, no normalization is performed and the original latent is returned unchanged. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `latent` | LATENT | The processed video latent with the starting frames normalized. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `latent` | The processed video latent with the starting frames normalized. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/en.md) --- **Source fingerprint (SHA-256):** `ee1f13ddb6ff0d52d5cdaa8d2af9cd4123bc99f38cf4a449b329a0b6663a70ef` diff --git a/built-in-nodes/Note.mdx b/built-in-nodes/Note.mdx index ecf7b1806..20f5902f4 100644 --- a/built-in-nodes/Note.mdx +++ b/built-in-nodes/Note.mdx @@ -12,3 +12,5 @@ Node to add annotations to a workflow. ## Outputs The node doesn't have outputs. + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Note/en.md) diff --git a/built-in-nodes/OpenAIChatConfig.mdx b/built-in-nodes/OpenAIChatConfig.mdx index 23bad87ff..e8f6763b6 100644 --- a/built-in-nodes/OpenAIChatConfig.mdx +++ b/built-in-nodes/OpenAIChatConfig.mdx @@ -5,23 +5,23 @@ sidebarTitle: "OpenAIChatConfig" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatConfig/en.md) - The OpenAIChatConfig node allows setting additional configuration options for the OpenAI Chat Node. It provides advanced settings that control how the model generates responses, including truncation behavior, output length limits, and custom instructions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `truncation` | COMBO | Yes | `"auto"`
`"disabled"` | The truncation strategy to use for the model response. auto: If the context of this response and previous ones exceeds the model's context window size, the model will truncate the response to fit the context window by dropping input items in the middle of the conversation. disabled: If a model response will exceed the context window size for a model, the request will fail with a 400 error (default: "auto") | -| `max_output_tokens` | INT | No | 16 to 16384 | An upper bound for the number of tokens that can be generated for a response, including visible output tokens (default: 4096) | -| `instructions` | STRING | No | - | Instructions for the model on how to generate the response (multiline input supported) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `truncation` | The truncation strategy to use for the model response. auto: If the context of this response and previous ones exceeds the model's context window size, the model will truncate the response to fit the context window by dropping input items in the middle of the conversation. disabled: If a model response will exceed the context window size for a model, the request will fail with a 400 error (default: "auto") | COMBO | Yes | `"auto"`
`"disabled"` | +| `max_output_tokens` | An upper bound for the number of tokens that can be generated for a response, including visible output tokens (default: 4096) | INT | No | 16 to 16384 | +| `instructions` | Instructions for the model on how to generate the response (multiline input supported) | STRING | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `OPENAI_CHAT_CONFIG` | OPENAI_CHAT_CONFIG | Configuration object containing the specified settings for use with OpenAI Chat Nodes | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `OPENAI_CHAT_CONFIG` | Configuration object containing the specified settings for use with OpenAI Chat Nodes | OPENAI_CHAT_CONFIG | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatConfig/en.md) --- **Source fingerprint (SHA-256):** `f9ae6d3b2818ea37543156c2f209fc4d093e40e446907deb4be327ca0c9d70e1` diff --git a/built-in-nodes/OpenAIChatNode.mdx b/built-in-nodes/OpenAIChatNode.mdx index f6e2581ee..68e471e4a 100644 --- a/built-in-nodes/OpenAIChatNode.mdx +++ b/built-in-nodes/OpenAIChatNode.mdx @@ -5,26 +5,26 @@ sidebarTitle: "OpenAIChatNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatNode/en.md) - This node generates text responses from an OpenAI model. It sends your text prompt (and optionally images or files) to an OpenAI model and returns the generated text response. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Text inputs to the model, used to generate a response (default: empty) | -| `persist_context` | BOOLEAN | Yes | - | This parameter is deprecated and has no effect (default: False) | -| `model` | COMBO | Yes | `gpt-5.5-pro`
`gpt-5.5`
`gpt-5`
`gpt-5-mini`
`gpt-5-nano`
`gpt-4.1`
`gpt-4.1-mini`
`gpt-4.1-nano`
`o4-mini`
`o3`
`o1-pro`
`o1` | The model used to generate the response (default: `gpt-5`) | -| `images` | IMAGE | No | - | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node | -| `files` | OPENAI_INPUT_FILES | No | - | Optional file(s) to use as context for the model. Accepts inputs from the OpenAI Chat Input Files node | -| `advanced_options` | OPENAI_CHAT_CONFIG | No | - | Optional configuration for the model. Accepts inputs from the OpenAI Chat Advanced Options node | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text inputs to the model, used to generate a response (default: empty) | STRING | Yes | - | +| `persist_context` | This parameter is deprecated and has no effect (default: False) | BOOLEAN | Yes | - | +| `model` | The model used to generate the response (default: `gpt-5`) | COMBO | Yes | `gpt-5.5-pro`
`gpt-5.5`
`gpt-5`
`gpt-5-mini`
`gpt-5-nano`
`gpt-4.1`
`gpt-4.1-mini`
`gpt-4.1-nano`
`o4-mini`
`o3`
`o1-pro`
`o1` | +| `images` | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node | IMAGE | No | - | +| `files` | Optional file(s) to use as context for the model. Accepts inputs from the OpenAI Chat Input Files node | OPENAI_INPUT_FILES | No | - | +| `advanced_options` | Optional configuration for the model. Accepts inputs from the OpenAI Chat Advanced Options node | OPENAI_CHAT_CONFIG | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output_text` | STRING | The text response generated by the OpenAI model | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output_text` | The text response generated by the OpenAI model | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatNode/en.md) --- **Source fingerprint (SHA-256):** `9adc9685d7fc31fba95bf43fa9e041289b6dbb9ab8f5ed30dc85e0acc015fe5c` diff --git a/built-in-nodes/OpenAIDalle2.mdx b/built-in-nodes/OpenAIDalle2.mdx index 4a9b70d46..4e33e9b12 100644 --- a/built-in-nodes/OpenAIDalle2.mdx +++ b/built-in-nodes/OpenAIDalle2.mdx @@ -5,8 +5,6 @@ sidebarTitle: "OpenAIDalle2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle2/en.md) - # OpenAIDalle2 Generates images synchronously via OpenAI's DALL·E 2 endpoint. @@ -17,20 +15,22 @@ This node connects to OpenAI's DALL·E 2 API to create images based on text desc ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `prompt` | STRING | required | "" | - | Text prompt for DALL·E | -| `seed` | INT | optional | 0 | 0 to 2147483647 | not implemented yet in backend | -| `size` | COMBO | optional | "1024x1024" | "256x256", "512x512", "1024x1024" | Image size | -| `n` | INT | optional | 1 | 1 to 8 | How many images to generate | -| `image` | IMAGE | optional | None | - | Optional reference image for image editing. | -| `mask` | MASK | optional | None | - | Optional mask for inpainting (white areas will be replaced) | +| Parameter | Description | Data Type | Input Type | Default | Range | +| --- | --- | --- | --- | --- | --- | +| `prompt` | Text prompt for DALL·E | STRING | required | "" | - | +| `seed` | not implemented yet in backend | INT | optional | 0 | 0 to 2147483647 | +| `size` | Image size | COMBO | optional | "1024x1024" | "256x256", "512x512", "1024x1024" | +| `n` | How many images to generate | INT | optional | 1 | 1 to 8 | +| `image` | Optional reference image for image editing. | IMAGE | optional | None | - | +| `mask` | Optional mask for inpainting (white areas will be replaced) | MASK | optional | None | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The generated or edited image(s) from DALL·E 2 | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The generated or edited image(s) from DALL·E 2 | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle2/en.md) --- **Source fingerprint (SHA-256):** `ad10b149ac28559ad18c09e0f071286509680603d953833106ad6a2d578f7efe` diff --git a/built-in-nodes/OpenAIDalle3.mdx b/built-in-nodes/OpenAIDalle3.mdx index 622b473b6..111bc6df9 100644 --- a/built-in-nodes/OpenAIDalle3.mdx +++ b/built-in-nodes/OpenAIDalle3.mdx @@ -5,25 +5,25 @@ sidebarTitle: "OpenAIDalle3" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle3/en.md) - Generates images synchronously via OpenAI's DALL·E 3 endpoint. This node takes a text prompt and creates corresponding images using OpenAI's DALL·E 3 model, allowing you to specify image quality, style, and dimensions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Text prompt for DALL·E (default: "") | -| `seed` | INT | No | 0 to 2147483647 | Not implemented yet in backend (default: 0) | -| `quality` | COMBO | No | "standard"
"hd" | Image quality (default: "standard") | -| `style` | COMBO | No | "natural"
"vivid" | Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images. (default: "natural") | -| `size` | COMBO | No | "1024x1024"
"1024x1792"
"1792x1024" | Image size (default: "1024x1024") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt for DALL·E (default: "") | STRING | Yes | - | +| `seed` | Not implemented yet in backend (default: 0) | INT | No | 0 to 2147483647 | +| `quality` | Image quality (default: "standard") | COMBO | No | "standard"
"hd" | +| `style` | Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images. (default: "natural") | COMBO | No | "natural"
"vivid" | +| `size` | Image size (default: "1024x1024") | COMBO | No | "1024x1024"
"1024x1792"
"1792x1024" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The generated image from DALL·E 3 | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The generated image from DALL·E 3 | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle3/en.md) --- **Source fingerprint (SHA-256):** `f100a8564689c2c54cc5c22df554af7e5c166bd4f15bc9234bade4d0819a09dd` diff --git a/built-in-nodes/OpenAIGPTImage1.mdx b/built-in-nodes/OpenAIGPTImage1.mdx index f1af56d08..a06123b6b 100644 --- a/built-in-nodes/OpenAIGPTImage1.mdx +++ b/built-in-nodes/OpenAIGPTImage1.mdx @@ -5,25 +5,23 @@ sidebarTitle: "OpenAIGPTImage1" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md) - Generates images synchronously via OpenAI's GPT Image endpoint. This node can create new images from text prompts or edit existing images when provided with an input image and optional mask. It supports multiple GPT Image models, including gpt-image-1, gpt-image-1.5, and gpt-image-2. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Text prompt for GPT Image (default: "") | -| `seed` | INT | No | 0 to 2147483647 | Random seed for generation (default: 0) - not implemented yet in backend | -| `quality` | COMBO | No | "low"
"medium"
"high" | Image quality, affects cost and generation time (default: "low") | -| `background` | COMBO | No | "auto"
"opaque"
"transparent" | Return image with or without background (default: "auto") | -| `size` | COMBO | No | "auto"
"1024x1024"
"1024x1536"
"1536x1024"
"2048x2048"
"2048x1152"
"1152x2048"
"3840x2160"
"2160x3840"
"Custom" | Image size. Select "Custom" to use the custom width and height (GPT Image 2 only) (default: "auto") | -| `n` | INT | No | 1 to 8 | How many images to generate (default: 1) | -| `image` | IMAGE | No | - | Optional reference image for image editing | -| `mask` | MASK | No | - | Optional mask for inpainting (white areas will be replaced) | -| `model` | COMBO | No | "gpt-image-1"
"gpt-image-1.5"
"gpt-image-2" | GPT Image model to use (default: "gpt-image-2") | -| `custom_width` | INT | No | 1024 to 3840 | Used only when `size` is "Custom". Must be a multiple of 16 (GPT Image 2 only) (default: 1024) | -| `custom_height` | INT | No | 1024 to 3840 | Used only when `size` is "Custom". Must be a multiple of 16 (GPT Image 2 only) (default: 1024) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt for GPT Image (default: "") | STRING | Yes | - | +| `seed` | Random seed for generation (default: 0) - not implemented yet in backend | INT | No | 0 to 2147483647 | +| `quality` | Image quality, affects cost and generation time (default: "low") | COMBO | No | "low"
"medium"
"high" | +| `background` | Return image with or without background (default: "auto") | COMBO | No | "auto"
"opaque"
"transparent" | +| `size` | Image size. Select "Custom" to use the custom width and height (GPT Image 2 only) (default: "auto") | COMBO | No | "auto"
"1024x1024"
"1024x1536"
"1536x1024"
"2048x2048"
"2048x1152"
"1152x2048"
"3840x2160"
"2160x3840"
"Custom" | +| `n` | How many images to generate (default: 1) | INT | No | 1 to 8 | +| `image` | Optional reference image for image editing | IMAGE | No | - | +| `mask` | Optional mask for inpainting (white areas will be replaced) | MASK | No | - | +| `model` | GPT Image model to use (default: "gpt-image-2") | COMBO | No | "gpt-image-1"
"gpt-image-1.5"
"gpt-image-2" | +| `custom_width` | Used only when `size` is "Custom". Must be a multiple of 16 (GPT Image 2 only) (default: 1024) | INT | No | 1024 to 3840 | +| `custom_height` | Used only when `size` is "Custom". Must be a multiple of 16 (GPT Image 2 only) (default: 1024) | INT | No | 1024 to 3840 | **Parameter Constraints:** @@ -40,9 +38,11 @@ Generates images synchronously via OpenAI's GPT Image endpoint. This node can cr ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | Generated or edited image(s) | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | Generated or edited image(s) | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md) --- **Source fingerprint (SHA-256):** `826d393831ee38e97dad3ea238877d0aeb5bf16778612c51cdc0ca4816efead2` diff --git a/built-in-nodes/OpenAIGPTImageNodeV2.mdx b/built-in-nodes/OpenAIGPTImageNodeV2.mdx index 2b908c18c..2bbe2c16c 100644 --- a/built-in-nodes/OpenAIGPTImageNodeV2.mdx +++ b/built-in-nodes/OpenAIGPTImageNodeV2.mdx @@ -5,31 +5,29 @@ sidebarTitle: "OpenAIGPTImageNodeV2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/en.md) - ## Overview This node generates images using OpenAI's GPT Image API. It supports multiple models, allows you to provide input images for editing, and can use a mask to specify which parts of an image to modify. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text prompt for GPT Image (default: ""). | -| `model` | COMBO | Yes | `"gpt-image-2"`
`"gpt-image-1.5"`
`"gpt-image-1"` | The OpenAI GPT Image model to use. Selecting a model reveals additional parameters specific to that model. | -| `model.size` | COMBO | Yes | `"auto"`
`"1024x1024"`
`"1024x1536"`
`"1536x1024"`
`"2048x2048"`
`"2048x1152"`
`"1152x2048"`
`"3840x2160"`
`"2160x3840"`
`"Custom"` | Image size. Select 'Custom' to use the custom width and height (default: "auto"). Only available for `gpt-image-2`. | -| `model.custom_width` | INT | No | 1024 to 3840 | Used only when `size` is 'Custom'. Must be a multiple of 16 (default: 1024). Only available for `gpt-image-2`. | -| `model.custom_height` | INT | No | 1024 to 3840 | Used only when `size` is 'Custom'. Must be a multiple of 16 (default: 1024). Only available for `gpt-image-2`. | -| `model.background` | COMBO | Yes | `"auto"`
`"opaque"` | Return image with or without background (default: "auto"). Only available for `gpt-image-2`. | -| `model.quality` | COMBO | Yes | `"standard"`
`"hd"` | The quality of the generated image. Only available for `gpt-image-2`. | -| `model.images` | IMAGE | No | N/A | Input images for editing. Only available for `gpt-image-2`. | -| `model.mask` | MASK | No | N/A | A mask to specify which parts of the input image to edit. Only available for `gpt-image-2`. | -| `n` | INT | Yes | 1 to 8 | How many images to generate (default: 1). | -| `seed` | INT | Yes | 0 to 2147483647 | Seed for reproducibility (default: 0). Note: not implemented yet in backend. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt for GPT Image (default: ""). | STRING | Yes | N/A | +| `model` | The OpenAI GPT Image model to use. Selecting a model reveals additional parameters specific to that model. | COMBO | Yes | `"gpt-image-2"`
`"gpt-image-1.5"`
`"gpt-image-1"` | +| `model.size` | Image size. Select 'Custom' to use the custom width and height (default: "auto"). Only available for `gpt-image-2`. | COMBO | Yes | `"auto"`
`"1024x1024"`
`"1024x1536"`
`"1536x1024"`
`"2048x2048"`
`"2048x1152"`
`"1152x2048"`
`"3840x2160"`
`"2160x3840"`
`"Custom"` | +| `model.custom_width` | Used only when `size` is 'Custom'. Must be a multiple of 16 (default: 1024). Only available for `gpt-image-2`. | INT | No | 1024 to 3840 | +| `model.custom_height` | Used only when `size` is 'Custom'. Must be a multiple of 16 (default: 1024). Only available for `gpt-image-2`. | INT | No | 1024 to 3840 | +| `model.background` | Return image with or without background (default: "auto"). Only available for `gpt-image-2`. | COMBO | Yes | `"auto"`
`"opaque"` | +| `model.quality` | The quality of the generated image. Only available for `gpt-image-2`. | COMBO | Yes | `"standard"`
`"hd"` | +| `model.images` | Input images for editing. Only available for `gpt-image-2`. | IMAGE | No | N/A | +| `model.mask` | A mask to specify which parts of the input image to edit. Only available for `gpt-image-2`. | MASK | No | N/A | +| `n` | How many images to generate (default: 1). | INT | Yes | 1 to 8 | +| `seed` | Seed for reproducibility (default: 0). Note: not implemented yet in backend. | INT | Yes | 0 to 2147483647 | **Parameter Constraints and Limitations:** -- When using `gpt-image-2` with a `model.size` of "Custom", the `custom_width` and `custom_height` must be multiples of 16, the maximum edge must be less than or equal to 3840, the aspect ratio must not exceed 3:1, and the total pixel count must be between 655,360 and 8,294,400. +- When using `gpt-image-2` with a `model.size` of "Custom", the `custom_width` and `custom_height` must be multiples of 16, the maximum edge must be `<= 3840`, the aspect ratio must not exceed 3:1, and the total pixel count must be between 655,360 and 8,294,400. - If a `mask` is provided, an input image (`model.images`) is required. A mask cannot be used without an input image. - A mask cannot be used with multiple input images. - When a mask is provided, the mask dimensions must match the input image dimensions. @@ -37,9 +35,11 @@ This node generates images using OpenAI's GPT Image API. It supports multiple mo ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The generated image or images. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The generated image or images. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/en.md) --- **Source fingerprint (SHA-256):** `dcea500ebbbbfe87f8b0dd2d714cf2356edf2030312c2cc6e41d64bd2ad04ea6` diff --git a/built-in-nodes/OpenAIInputFiles.mdx b/built-in-nodes/OpenAIInputFiles.mdx index 038f09032..836dfdbff 100644 --- a/built-in-nodes/OpenAIInputFiles.mdx +++ b/built-in-nodes/OpenAIInputFiles.mdx @@ -5,16 +5,14 @@ sidebarTitle: "OpenAIInputFiles" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md) - Loads and formats input files for the OpenAI API. This node prepares text (.txt) and PDF (.pdf) files to include as context inputs for the OpenAI Chat Node. The files will be read by the OpenAI model when generating a response. Multiple OpenAI Input Files nodes can be chained together to include several files in a single message. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `file` | COMBO | Yes | Multiple options available (all .txt and .pdf files in the input directory under 32MB) | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than 32MB. | -| `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | No | N/A | An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `file` | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than 32MB. | COMBO | Yes | Multiple options available (all .txt and .pdf files in the input directory under 32MB) | +| `OPENAI_INPUT_FILES` | An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files. | OPENAI_INPUT_FILES | No | N/A | **File Constraints:** @@ -24,9 +22,11 @@ Loads and formats input files for the OpenAI API. This node prepares text (.txt) ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | Formatted input files ready to be used as context for OpenAI API calls. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `OPENAI_INPUT_FILES` | Formatted input files ready to be used as context for OpenAI API calls. | OPENAI_INPUT_FILES | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md) --- **Source fingerprint (SHA-256):** `9e1a60feb48d39646c4247dd12b15c3eb392e1b85b3db2f254571d568d772de0` diff --git a/built-in-nodes/OpenAIVideoSora2.mdx b/built-in-nodes/OpenAIVideoSora2.mdx index 1d627ea55..75578e21f 100644 --- a/built-in-nodes/OpenAIVideoSora2.mdx +++ b/built-in-nodes/OpenAIVideoSora2.mdx @@ -5,22 +5,20 @@ sidebarTitle: "OpenAIVideoSora2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIVideoSora2/en.md) - The OpenAIVideoSora2 node generates videos using OpenAI's Sora models. It creates video content based on text prompts and optional input images, then returns the generated video output. The node supports different video durations and resolutions depending on the selected model. **DEPRECATION NOTICE:** OpenAI will stop serving the Sora v2 API in September 2026. This node will be removed from ComfyUI at that time. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | "sora-2"
"sora-2-pro" | The OpenAI Sora model to use for video generation (default: "sora-2") | -| `prompt` | STRING | Yes | - | Guiding text; may be empty if an input image is present (default: empty) | -| `size` | COMBO | Yes | "720x1280"
"1280x720"
"1024x1792"
"1792x1024" | The resolution for the generated video (default: "1280x720") | -| `duration` | COMBO | Yes | 4
8
12 | The duration of the generated video in seconds (default: 8) | -| `image` | IMAGE | No | - | Optional input image for video generation | -| `seed` | INT | No | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The OpenAI Sora model to use for video generation (default: "sora-2") | COMBO | Yes | "sora-2"
"sora-2-pro" | +| `prompt` | Guiding text; may be empty if an input image is present (default: empty) | STRING | Yes | - | +| `size` | The resolution for the generated video (default: "1280x720") | COMBO | Yes | "720x1280"
"1280x720"
"1024x1792"
"1792x1024" | +| `duration` | The duration of the generated video in seconds (default: 8) | COMBO | Yes | 4
8
12 | +| `image` | Optional input image for video generation | IMAGE | No | - | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | INT | No | 0 to 2147483647 | **Constraints and Limitations:** @@ -30,9 +28,11 @@ The OpenAIVideoSora2 node generates videos using OpenAI's Sora models. It create ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video output | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video output | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIVideoSora2/en.md) --- **Source fingerprint (SHA-256):** `b632ef33ca5f01a7aed780a9eeea9b2fcbf4ab85ccb8f026e6175ceaafbda47b` diff --git a/built-in-nodes/OpenRouterLLMNode.mdx b/built-in-nodes/OpenRouterLLMNode.mdx index 505559446..c433830fe 100644 --- a/built-in-nodes/OpenRouterLLMNode.mdx +++ b/built-in-nodes/OpenRouterLLMNode.mdx @@ -5,20 +5,18 @@ sidebarTitle: "OpenRouterLLMNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/en.md) - ## Overview The OpenRouter LLM node sends a text prompt to a curated set of popular language models available through the OpenRouter service and returns the generated text response. It supports models from providers like xAI, DeepSeek, Qwen, Mistral, Z.AI (GLM), Moonshot (Kimi), and Perplexity Sonar, and can optionally include images or videos in the request. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text input to the model. | -| `model` | STRING | Yes | Multiple options available (see note below) | The OpenRouter model used to generate the response. | -| `seed` | INT | Yes | 0 to 2147483647 | Seed for sampling. Set to 0 to omit. Most models treat this as a hint only. (default: 0) | -| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate the model's behavior. (default: "") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text input to the model. | STRING | Yes | N/A | +| `model` | The OpenRouter model used to generate the response. | STRING | Yes | Multiple options available (see note below) | +| `seed` | Seed for sampling. Set to 0 to omit. Most models treat this as a hint only. (default: 0) | INT | Yes | 0 to 2147483647 | +| `system_prompt` | Foundational instructions that dictate the model's behavior. (default: "") | STRING | No | N/A | **Note on `model` parameter:** The available model options are dynamically built and may include models with different capabilities. Some models support additional features like reasoning effort, web search, or image/video inputs. The node will validate that the number of images or videos provided does not exceed the model's maximum supported count. @@ -28,9 +26,11 @@ The OpenRouter LLM node sends a text prompt to a curated set of popular language ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The generated text response from the OpenRouter model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated text response from the OpenRouter model. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/en.md) --- **Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a` diff --git a/built-in-nodes/OpticalFlowLoader.mdx b/built-in-nodes/OpticalFlowLoader.mdx index fca9ab330..27b291dc1 100644 --- a/built-in-nodes/OpticalFlowLoader.mdx +++ b/built-in-nodes/OpticalFlowLoader.mdx @@ -5,23 +5,23 @@ sidebarTitle: "OpticalFlowLoader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpticalFlowLoader/en.md) - ## Overview Loads an optical flow model from the `models/optical_flow/` folder. Currently, only torchvision's RAFT-large format is supported, which is the model used by the VOIDWarpedNoise node. ComfyUI does not download optical flow weights automatically; you must place the checkpoint file manually in the `models/optical_flow/` directory. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_name` | STRING | Yes | List of files in `models/optical_flow/` folder | Optical flow model to load. Files must be placed in the `optical_flow` folder. Today only torchvision's `raft_large.pth` is supported. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_name` | Optical flow model to load. Files must be placed in the `optical_flow` folder. Today only torchvision's `raft_large.pth` is supported. | STRING | Yes | List of files in `models/optical_flow/` folder | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `OPTICAL_FLOW` | MODEL | The loaded optical flow model, wrapped in a ModelPatcher for use with other nodes. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `OPTICAL_FLOW` | The loaded optical flow model, wrapped in a ModelPatcher for use with other nodes. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpticalFlowLoader/en.md) --- **Source fingerprint (SHA-256):** `62f79c2e96fafe4856321481bdc22ca474e65be2bb4c117cb0e929ff33e75d5a` diff --git a/built-in-nodes/OptimalStepsScheduler.mdx b/built-in-nodes/OptimalStepsScheduler.mdx index d06bb664d..cb7889bff 100644 --- a/built-in-nodes/OptimalStepsScheduler.mdx +++ b/built-in-nodes/OptimalStepsScheduler.mdx @@ -5,25 +5,25 @@ sidebarTitle: "OptimalStepsScheduler" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OptimalStepsScheduler/en.md) - The OptimalStepsScheduler node calculates noise schedule sigmas for diffusion models based on the selected model type and step configuration. It adjusts the total number of steps according to the denoise parameter and interpolates the noise levels to match the requested step count. The node returns a sequence of sigma values that determine the noise levels used during the diffusion sampling process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_type` | COMBO | Yes | "FLUX"
"Wan"
"Chroma" | The type of diffusion model to use for noise level calculation | -| `steps` | INT | Yes | 3-1000 | The total number of sampling steps to calculate (default: 20) | -| `denoise` | FLOAT | No | 0.0-1.0 | Controls the denoising strength, which adjusts the effective number of steps (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_type` | The type of diffusion model to use for noise level calculation | COMBO | Yes | "FLUX"
"Wan"
"Chroma" | +| `steps` | The total number of sampling steps to calculate (default: 20) | INT | Yes | 3-1000 | +| `denoise` | Controls the denoising strength, which adjusts the effective number of steps (default: 1.0) | FLOAT | No | 0.0-1.0 | **Note:** When `denoise` is set to less than 1.0, the node calculates the effective steps as `steps * denoise`. If `denoise` is set to 0.0, the node returns an empty tensor. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | A sequence of sigma values representing the noise schedule for diffusion sampling | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sigmas` | A sequence of sigma values representing the noise schedule for diffusion sampling | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OptimalStepsScheduler/en.md) --- **Source fingerprint (SHA-256):** `19ad2b96d8256b1fd274f09d863215d4a4375f071829509d9f105d244cee3d28` diff --git a/built-in-nodes/Painter.mdx b/built-in-nodes/Painter.mdx index 42cca35ab..94a4f50d3 100644 --- a/built-in-nodes/Painter.mdx +++ b/built-in-nodes/Painter.mdx @@ -5,28 +5,28 @@ sidebarTitle: "Painter" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Painter/en.md) - The Painter node provides an interactive canvas for creating or editing images and masks directly within ComfyUI. It allows you to start with a blank canvas or an existing image, paint on it using a brush tool, and outputs both the resulting image and a corresponding alpha mask. The mask defines the painted areas, which are then composited over the base image or background color. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | No | - | Optional base image to paint over. If not provided, a blank canvas is created using the specified background color, width, and height. | -| `mask` | STRING | Yes | - | The painting data, typically generated by the node's built-in interactive widget. This parameter is managed by the UI's painter tool and is not meant to be connected to a standard socket. | -| `width` | INT | Yes | 64 to 4096 | The width of the canvas in pixels, used when no base `image` is provided. The value must be a multiple of 64. Default is 512. | -| `height` | INT | Yes | 64 to 4096 | The height of the canvas in pixels, used when no base `image` is provided. The value must be a multiple of 64. Default is 512. | -| `bg_color` | COLOR | Yes | - | The background color for the canvas, specified as a hex code (e.g., #000000). This is only used when no base `image` is provided. Default is black (#000000). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | Optional base image to paint over. If not provided, a blank canvas is created using the specified background color, width, and height. | IMAGE | No | - | +| `mask` | The painting data, typically generated by the node's built-in interactive widget. This parameter is managed by the UI's painter tool and is not meant to be connected to a standard socket. | STRING | Yes | - | +| `width` | The width of the canvas in pixels, used when no base `image` is provided. The value must be a multiple of 64. Default is 512. | INT | Yes | 64 to 4096 | +| `height` | The height of the canvas in pixels, used when no base `image` is provided. The value must be a multiple of 64. Default is 512. | INT | Yes | 64 to 4096 | +| `bg_color` | The background color for the canvas, specified as a hex code (e.g., #000000). This is only used when no base `image` is provided. Default is black (#000000). | COLOR | Yes | - | **Note:** The `mask` input is designed to work with the node's specialized UI widget. When you paint on the canvas, the widget automatically populates this value. The `width` and `height` inputs are hidden in the standard UI but define the canvas dimensions when creating a new image. If a base `image` is provided, its dimensions override the `width` and `height` settings. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The final composited image. This is the result of blending the painted areas (from the `mask`) over the provided base `image` or the colored background. | -| `MASK` | MASK | The alpha channel (transparency) mask extracted from the painting. White areas represent the painted regions, and black areas represent the untouched background. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The final composited image. This is the result of blending the painted areas (from the `mask`) over the provided base `image` or the colored background. | IMAGE | +| `MASK` | The alpha channel (transparency) mask extracted from the painting. White areas represent the painted regions, and black areas represent the untouched background. | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Painter/en.md) --- **Source fingerprint (SHA-256):** `217a6d8abbad02cb43cab18d0a592bdd5bfbfe321a742d0c14e8f4e1fa5e2630` diff --git a/built-in-nodes/PairConditioningCombine.mdx b/built-in-nodes/PairConditioningCombine.mdx index b0dbe4173..c621f2dd5 100644 --- a/built-in-nodes/PairConditioningCombine.mdx +++ b/built-in-nodes/PairConditioningCombine.mdx @@ -5,25 +5,25 @@ sidebarTitle: "PairConditioningCombine" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningCombine/en.md) - The PairConditioningCombine node merges two separate conditioning pairs (each consisting of a positive and negative conditioning) into a single combined pair. It takes the positive and negative conditioning from two different sources and combines them using ComfyUI's internal logic, outputting one final positive and one final negative conditioning. This node is experimental and designed for advanced conditioning manipulation workflows. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive_A` | CONDITIONING | Yes | - | First positive conditioning input | -| `negative_A` | CONDITIONING | Yes | - | First negative conditioning input | -| `positive_B` | CONDITIONING | Yes | - | Second positive conditioning input | -| `negative_B` | CONDITIONING | Yes | - | Second negative conditioning input | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive_A` | First positive conditioning input | CONDITIONING | Yes | - | +| `negative_A` | First negative conditioning input | CONDITIONING | Yes | - | +| `positive_B` | Second positive conditioning input | CONDITIONING | Yes | - | +| `negative_B` | Second negative conditioning input | CONDITIONING | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Combined positive conditioning output | -| `negative` | CONDITIONING | Combined negative conditioning output | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Combined positive conditioning output | CONDITIONING | +| `negative` | Combined negative conditioning output | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningCombine/en.md) --- **Source fingerprint (SHA-256):** `34c14207930ba31fea054b2e641e9666e738ed786aa117449c4a27667bde41b1` diff --git a/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx b/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx index 96a1b50ce..75d6a59bf 100644 --- a/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx +++ b/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx @@ -5,26 +5,26 @@ sidebarTitle: "PairConditioningSetDefaultAndCombine" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetDefaultAndCombine/en.md) - The **PairConditioningSetDefaultAndCombine** node sets default conditioning values and combines them with input conditioning data. It takes positive and negative conditioning inputs along with their default counterparts, then processes them through ComfyUI's hook system to produce final conditioning outputs that incorporate the default values. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The primary positive conditioning input to be processed | -| `negative` | CONDITIONING | Yes | - | The primary negative conditioning input to be processed | -| `positive_DEFAULT` | CONDITIONING | Yes | - | The default positive conditioning values to be used as fallback | -| `negative_DEFAULT` | CONDITIONING | Yes | - | The default negative conditioning values to be used as fallback | -| `hooks` | HOOKS | No | - | Optional hook group for custom processing logic | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The primary positive conditioning input to be processed | CONDITIONING | Yes | - | +| `negative` | The primary negative conditioning input to be processed | CONDITIONING | Yes | - | +| `positive_DEFAULT` | The default positive conditioning values to be used as fallback | CONDITIONING | Yes | - | +| `negative_DEFAULT` | The default negative conditioning values to be used as fallback | CONDITIONING | Yes | - | +| `hooks` | Optional hook group for custom processing logic | HOOKS | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The processed positive conditioning with default values incorporated | -| `negative` | CONDITIONING | The processed negative conditioning with default values incorporated | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The processed positive conditioning with default values incorporated | CONDITIONING | +| `negative` | The processed negative conditioning with default values incorporated | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetDefaultAndCombine/en.md) --- **Source fingerprint (SHA-256):** `dfa47d0fe02e81db8b68d20ae9b765c2518773f4f7fc8caf774cb870267dbb21` diff --git a/built-in-nodes/PairConditioningSetProperties.mdx b/built-in-nodes/PairConditioningSetProperties.mdx index b6f2ce4bc..1d24eaa8e 100644 --- a/built-in-nodes/PairConditioningSetProperties.mdx +++ b/built-in-nodes/PairConditioningSetProperties.mdx @@ -5,28 +5,28 @@ sidebarTitle: "PairConditioningSetProperties" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetProperties/en.md) - The **PairConditioningSetProperties** node allows you to modify properties of both positive and negative conditioning pairs at the same time. It applies strength adjustments, conditioning area settings, and optional masking or timing controls to both conditioning inputs, returning the modified positive and negative conditioning data. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive_NEW` | CONDITIONING | Yes | - | The positive conditioning input to modify | -| `negative_NEW` | CONDITIONING | Yes | - | The negative conditioning input to modify | -| `strength` | FLOAT | Yes | 0.0 to 10.0 | The strength multiplier applied to the conditioning (default: 1.0) | -| `set_cond_area` | STRING | Yes | "default"
"mask bounds" | Determines how the conditioning area is calculated (default: "default") | -| `mask` | MASK | No | - | Optional mask to constrain the conditioning area | -| `hooks` | HOOKS | No | - | Optional hook group for advanced conditioning modifications | -| `timesteps` | TIMESTEPS_RANGE | No | - | Optional timestep range to limit when conditioning is applied | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive_NEW` | The positive conditioning input to modify | CONDITIONING | Yes | - | +| `negative_NEW` | The negative conditioning input to modify | CONDITIONING | Yes | - | +| `strength` | The strength multiplier applied to the conditioning (default: 1.0) | FLOAT | Yes | 0.0 to 10.0 | +| `set_cond_area` | Determines how the conditioning area is calculated (default: "default") | STRING | Yes | "default"
"mask bounds" | +| `mask` | Optional mask to constrain the conditioning area | MASK | No | - | +| `hooks` | Optional hook group for advanced conditioning modifications | HOOKS | No | - | +| `timesteps` | Optional timestep range to limit when conditioning is applied | TIMESTEPS_RANGE | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The modified positive conditioning with applied properties | -| `negative` | CONDITIONING | The modified negative conditioning with applied properties | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The modified positive conditioning with applied properties | CONDITIONING | +| `negative` | The modified negative conditioning with applied properties | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetProperties/en.md) --- **Source fingerprint (SHA-256):** `3f750c270665b4f3567790ab1ae0bdbfa176527d4f8d96cf10570a5c5deb9636` diff --git a/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx b/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx index c249f1edf..47230da37 100644 --- a/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx +++ b/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx @@ -5,30 +5,30 @@ sidebarTitle: "PairConditioningSetPropertiesAndCombine" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetPropertiesAndCombine/en.md) - The PairConditioningSetPropertiesAndCombine node modifies and combines conditioning pairs by applying new conditioning data to existing positive and negative conditioning inputs. It allows you to adjust the strength of the applied conditioning and control how the conditioning area is set. This node is particularly useful for advanced conditioning manipulation workflows where you need to blend multiple conditioning sources together. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The original positive conditioning input | -| `negative` | CONDITIONING | Yes | - | The original negative conditioning input | -| `positive_NEW` | CONDITIONING | Yes | - | The new positive conditioning to apply | -| `negative_NEW` | CONDITIONING | Yes | - | The new negative conditioning to apply | -| `strength` | FLOAT | Yes | 0.0 to 10.0 | The strength factor for applying the new conditioning (default: 1.0) | -| `set_cond_area` | STRING | Yes | "default"
"mask bounds" | Controls how the conditioning area is applied (default: "default") | -| `mask` | MASK | No | - | Optional mask to constrain the conditioning application area | -| `hooks` | HOOKS | No | - | Optional hook group for advanced control | -| `timesteps` | TIMESTEPS_RANGE | No | - | Optional timestep range specification | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The original positive conditioning input | CONDITIONING | Yes | - | +| `negative` | The original negative conditioning input | CONDITIONING | Yes | - | +| `positive_NEW` | The new positive conditioning to apply | CONDITIONING | Yes | - | +| `negative_NEW` | The new negative conditioning to apply | CONDITIONING | Yes | - | +| `strength` | The strength factor for applying the new conditioning (default: 1.0) | FLOAT | Yes | 0.0 to 10.0 | +| `set_cond_area` | Controls how the conditioning area is applied (default: "default") | STRING | Yes | "default"
"mask bounds" | +| `mask` | Optional mask to constrain the conditioning application area | MASK | No | - | +| `hooks` | Optional hook group for advanced control | HOOKS | No | - | +| `timesteps` | Optional timestep range specification | TIMESTEPS_RANGE | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The combined positive conditioning output | -| `negative` | CONDITIONING | The combined negative conditioning output | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The combined positive conditioning output | CONDITIONING | +| `negative` | The combined negative conditioning output | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetPropertiesAndCombine/en.md) --- **Source fingerprint (SHA-256):** `d434fdc1ccbe3ddee6293a6300cc55d30cb5bf357025b26777791746f51e755e` diff --git a/built-in-nodes/PatchModelAddDownscale.mdx b/built-in-nodes/PatchModelAddDownscale.mdx index 9d8d1d194..d1d82d13b 100644 --- a/built-in-nodes/PatchModelAddDownscale.mdx +++ b/built-in-nodes/PatchModelAddDownscale.mdx @@ -5,28 +5,28 @@ sidebarTitle: "PatchModelAddDownscale" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PatchModelAddDownscale/en.md) - The PatchModelAddDownscale node implements Kohya Deep Shrink functionality by applying downscaling and upscaling operations to specific blocks in a model. It reduces the resolution of intermediate features during processing and then restores them to their original size, which can improve performance while maintaining quality. The node allows precise control over when and how these scaling operations occur during the model's execution. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply the downscale patch to | -| `block_number` | INT | No | 1-32 | The specific block number where downscaling will be applied (default: 3) | -| `downscale_factor` | FLOAT | No | 0.1-9.0 | The factor by which to downscale the features (default: 2.0) | -| `start_percent` | FLOAT | No | 0.0-1.0 | The starting point in the denoising process where downscaling begins (default: 0.0) | -| `end_percent` | FLOAT | No | 0.0-1.0 | The ending point in the denoising process where downscaling stops (default: 0.35) | -| `downscale_after_skip` | BOOLEAN | No | - | Whether to apply downscaling after skip connections (default: True) | -| `downscale_method` | COMBO | No | "bicubic"
"nearest-exact"
"bilinear"
"area"
"bislerp" | The interpolation method used for downscaling operations | -| `upscale_method` | COMBO | No | "bicubic"
"nearest-exact"
"bilinear"
"area"
"bislerp" | The interpolation method used for upscaling operations | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply the downscale patch to | MODEL | Yes | - | +| `block_number` | The specific block number where downscaling will be applied (default: 3) | INT | No | 1-32 | +| `downscale_factor` | The factor by which to downscale the features (default: 2.0) | FLOAT | No | 0.1-9.0 | +| `start_percent` | The starting point in the denoising process where downscaling begins (default: 0.0) | FLOAT | No | 0.0-1.0 | +| `end_percent` | The ending point in the denoising process where downscaling stops (default: 0.35) | FLOAT | No | 0.0-1.0 | +| `downscale_after_skip` | Whether to apply downscaling after skip connections (default: True) | BOOLEAN | No | - | +| `downscale_method` | The interpolation method used for downscaling operations | COMBO | No | "bicubic"
"nearest-exact"
"bilinear"
"area"
"bislerp" | +| `upscale_method` | The interpolation method used for upscaling operations | COMBO | No | "bicubic"
"nearest-exact"
"bilinear"
"area"
"bislerp" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with downscale patch applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with downscale patch applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PatchModelAddDownscale/en.md) --- **Source fingerprint (SHA-256):** `ee6a1191bd753a669e676a58e2052ca4b47ac74d8f40df562df8550b0c71c3c2` diff --git a/built-in-nodes/PerpNeg.mdx b/built-in-nodes/PerpNeg.mdx index 0c4efcb8c..372e558cf 100644 --- a/built-in-nodes/PerpNeg.mdx +++ b/built-in-nodes/PerpNeg.mdx @@ -5,25 +5,25 @@ sidebarTitle: "PerpNeg" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNeg/en.md) - The PerpNeg node applies perpendicular negative guidance to a model's sampling process. This node modifies the model's configuration function to adjust noise predictions using negative conditioning and scaling factors. It has been deprecated and replaced by the PerpNegGuider node for improved functionality. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply perpendicular negative guidance to | -| `empty_conditioning` | CONDITIONING | Yes | - | Empty conditioning used for negative guidance calculations | -| `neg_scale` | FLOAT | No | 0.0 - 100.0 | Scaling factor for negative guidance (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply perpendicular negative guidance to | MODEL | Yes | - | +| `empty_conditioning` | Empty conditioning used for negative guidance calculations | CONDITIONING | Yes | - | +| `neg_scale` | Scaling factor for negative guidance (default: 1.0) | FLOAT | No | 0.0 - 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with perpendicular negative guidance applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with perpendicular negative guidance applied | MODEL | **Note**: This node is deprecated and has been replaced by PerpNegGuider. It is marked as experimental and should not be used in production workflows. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNeg/en.md) + --- **Source fingerprint (SHA-256):** `016bd9a9a9ee42855c15b3e582ada03557297df9a786d977439edd9d3363a5ba` diff --git a/built-in-nodes/PerpNegGuider.mdx b/built-in-nodes/PerpNegGuider.mdx index bd4d125f0..b31a27310 100644 --- a/built-in-nodes/PerpNegGuider.mdx +++ b/built-in-nodes/PerpNegGuider.mdx @@ -5,26 +5,26 @@ sidebarTitle: "PerpNegGuider" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNegGuider/en.md) - The PerpNegGuider node creates a guidance system for controlling image generation using perpendicular negative conditioning. It takes positive, negative, and empty conditioning inputs and applies a specialized guidance algorithm that computes all three noise predictions in a single batch for efficiency. This node is designed for experimental testing and provides fine control over the guidance strength and negative scaling. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to use for guidance generation | -| `positive` | CONDITIONING | Yes | - | The positive conditioning that guides the generation toward desired content | -| `negative` | CONDITIONING | Yes | - | The negative conditioning that guides the generation away from unwanted content | -| `empty_conditioning` | CONDITIONING | Yes | - | The empty or neutral conditioning used as a baseline reference for perpendicular negative guidance | -| `cfg` | FLOAT | Yes | 0.0 - 100.0 | The classifier-free guidance scale that controls how strongly the conditioning influences the generation (default: 8.0) | -| `neg_scale` | FLOAT | Yes | 0.0 - 100.0 | The negative scaling factor that adjusts the strength of the perpendicular negative effect (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to use for guidance generation | MODEL | Yes | - | +| `positive` | The positive conditioning that guides the generation toward desired content | CONDITIONING | Yes | - | +| `negative` | The negative conditioning that guides the generation away from unwanted content | CONDITIONING | Yes | - | +| `empty_conditioning` | The empty or neutral conditioning used as a baseline reference for perpendicular negative guidance | CONDITIONING | Yes | - | +| `cfg` | The classifier-free guidance scale that controls how strongly the conditioning influences the generation (default: 8.0) | FLOAT | Yes | 0.0 - 100.0 | +| `neg_scale` | The negative scaling factor that adjusts the strength of the perpendicular negative effect (default: 1.0) | FLOAT | Yes | 0.0 - 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `guider` | GUIDER | A configured guidance system ready for use in the generation pipeline | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `guider` | A configured guidance system ready for use in the generation pipeline | GUIDER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNegGuider/en.md) --- **Source fingerprint (SHA-256):** `02e4b4e0ea413da31c280cb1e510bdf5caa7b5187eb6de94632e45a91e881820` diff --git a/built-in-nodes/PerturbedAttentionGuidance.mdx b/built-in-nodes/PerturbedAttentionGuidance.mdx index ef4ef0bb7..20e2e46ae 100644 --- a/built-in-nodes/PerturbedAttentionGuidance.mdx +++ b/built-in-nodes/PerturbedAttentionGuidance.mdx @@ -5,22 +5,22 @@ sidebarTitle: "PerturbedAttentionGuidance" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerturbedAttentionGuidance/en.md) - The PerturbedAttentionGuidance node applies perturbed attention guidance to a diffusion model to enhance generation quality. It modifies the model's self-attention mechanism during sampling by replacing it with a simplified version that focuses on value projections. This technique helps improve the coherence and quality of generated images by adjusting the conditional denoising process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model to apply perturbed attention guidance to | -| `scale` | FLOAT | No | 0.0 - 100.0 | The strength of the perturbed attention guidance effect (default: 3.0). When set to 0, the node has no effect and returns the original denoised result. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to apply perturbed attention guidance to | MODEL | Yes | - | +| `scale` | The strength of the perturbed attention guidance effect (default: 3.0). When set to 0, the node has no effect and returns the original denoised result. | FLOAT | No | 0.0 - 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with perturbed attention guidance applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with perturbed attention guidance applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerturbedAttentionGuidance/en.md) --- **Source fingerprint (SHA-256):** `b4bcb5e8a0bf990d36d2865c58e6fbf3c9cee9d446f5aced987ddd04387d2b4c` diff --git a/built-in-nodes/PhotoMakerEncode.mdx b/built-in-nodes/PhotoMakerEncode.mdx index 26db13a6e..92e2257d0 100644 --- a/built-in-nodes/PhotoMakerEncode.mdx +++ b/built-in-nodes/PhotoMakerEncode.mdx @@ -5,26 +5,26 @@ sidebarTitle: "PhotoMakerEncode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerEncode/en.md) - The PhotoMakerEncode node processes a reference image and a text prompt to generate conditioning data for AI image generation. It uses the PhotoMaker model to combine visual characteristics from the image with text embeddings, specifically looking for the "photomaker" token in the text to determine where to apply the image-based conditioning. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `photomaker` | PHOTOMAKER | Yes | - | The PhotoMaker model used for processing the image and generating image-based embeddings | -| `image` | IMAGE | Yes | - | The reference image that provides visual characteristics for conditioning | -| `clip` | CLIP | Yes | - | The CLIP model used for text tokenization and encoding | -| `text` | STRING | Yes | - | The text prompt for conditioning generation (default: "photograph of photomaker") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `photomaker` | The PhotoMaker model used for processing the image and generating image-based embeddings | PHOTOMAKER | Yes | - | +| `image` | The reference image that provides visual characteristics for conditioning | IMAGE | Yes | - | +| `clip` | The CLIP model used for text tokenization and encoding | CLIP | Yes | - | +| `text` | The text prompt for conditioning generation (default: "photograph of photomaker") | STRING | Yes | - | **Note:** When the text contains the word "photomaker", the node applies image-based conditioning at that position in the prompt. If "photomaker" is not found in the text, the node generates standard text conditioning without image influence. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The conditioning data containing image and text embeddings for guiding image generation, along with pooled output from the CLIP text encoder | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The conditioning data containing image and text embeddings for guiding image generation, along with pooled output from the CLIP text encoder | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerEncode/en.md) --- **Source fingerprint (SHA-256):** `d3b669f4a1aee8add8262c19c7ea24852ea7308c4310dafd9d3bbe96920fb991` diff --git a/built-in-nodes/PhotoMakerLoader.mdx b/built-in-nodes/PhotoMakerLoader.mdx index 2dca39397..42aa2f34f 100644 --- a/built-in-nodes/PhotoMakerLoader.mdx +++ b/built-in-nodes/PhotoMakerLoader.mdx @@ -5,21 +5,21 @@ sidebarTitle: "PhotoMakerLoader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerLoader/en.md) - The PhotoMakerLoader node loads a PhotoMaker model from the available model files. It reads the specified model file and prepares the PhotoMaker ID encoder for use in identity-based image generation tasks. This node is marked as experimental and is intended for testing purposes. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `photomaker_model_name` | STRING | Yes | Multiple options available | The name of the PhotoMaker model file to load. The available options are determined by the model files present in the `photomaker` folder. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `photomaker_model_name` | The name of the PhotoMaker model file to load. The available options are determined by the model files present in the `photomaker` folder. | STRING | Yes | Multiple options available | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `photomaker_model` | PHOTOMAKER | The loaded PhotoMaker model containing the ID encoder, ready for use in identity encoding operations. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `photomaker_model` | The loaded PhotoMaker model containing the ID encoder, ready for use in identity encoding operations. | PHOTOMAKER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerLoader/en.md) --- **Source fingerprint (SHA-256):** `43824e1afc147e8d85117eebce5cb47b9c0091a3a5b70f3e1ee0134a1482c6f3` diff --git a/built-in-nodes/PiDConditioning.mdx b/built-in-nodes/PiDConditioning.mdx index b64053e62..3693d9af9 100644 --- a/built-in-nodes/PiDConditioning.mdx +++ b/built-in-nodes/PiDConditioning.mdx @@ -5,26 +5,26 @@ sidebarTitle: "PiDConditioning" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PiDConditioning/en.md) - ## Overview Attaches a latent image and a degrade sigma value to a CONDITIONING data. This is used for PiD (Pixel-in-Detail) decoding or upscaling, allowing you to control how much the latent is degraded before processing. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The conditioning data to attach the latent and degrade sigma to. | -| `latent` | LATENT | Yes | - | The latent image (from VAEEncode or a KSampler) to attach to the conditioning. | -| `latent_format` | COMBO | Yes | `"flux"`
`"sd3"` | The format of the latent. Flux1 and Flux2 latents are auto-detected from the channel dimension. SD3 must be selected manually (default: "flux"). | -| `degrade_sigma` | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | The amount of degradation to apply. 0 means a clean latent. Increase this value to denoise corrupted latent outputs (default: 0.0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The conditioning data to attach the latent and degrade sigma to. | CONDITIONING | Yes | - | +| `latent` | The latent image (from VAEEncode or a KSampler) to attach to the conditioning. | LATENT | Yes | - | +| `latent_format` | The format of the latent. Flux1 and Flux2 latents are auto-detected from the channel dimension. SD3 must be selected manually (default: "flux"). | COMBO | Yes | `"flux"`
`"sd3"` | +| `degrade_sigma` | The amount of degradation to apply. 0 means a clean latent. Increase this value to denoise corrupted latent outputs (default: 0.0). | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The original conditioning data with the latent and degrade sigma values attached. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The original conditioning data with the latent and degrade sigma values attached. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PiDConditioning/en.md) --- **Source fingerprint (SHA-256):** `7c8de543629c2299fc2c1e035e433dfc249af594773a77e65c69dde67eb104d7` diff --git a/built-in-nodes/PikaImageToVideoNode2_2.mdx b/built-in-nodes/PikaImageToVideoNode2_2.mdx index 01e64823c..e16b5cec0 100644 --- a/built-in-nodes/PikaImageToVideoNode2_2.mdx +++ b/built-in-nodes/PikaImageToVideoNode2_2.mdx @@ -5,26 +5,26 @@ sidebarTitle: "PikaImageToVideoNode2_2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaImageToVideoNode2_2/en.md) - The Pika Image to Video node sends an image and text prompt to the Pika API version 2.2 to generate a video. It converts your input image into video format based on the provided description and settings. The node handles the API communication and returns the generated video as output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The image to convert to video | -| `prompt_text` | STRING | Yes | - | The text description guiding video generation | -| `negative_prompt` | STRING | Yes | - | Text describing what to avoid in the video | -| `seed` | INT | Yes | - | Random seed value for reproducible results | -| `resolution` | STRING | Yes | - | Output video resolution setting | -| `duration` | INT | Yes | - | Length of the generated video in seconds | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The image to convert to video | IMAGE | Yes | - | +| `prompt_text` | The text description guiding video generation | STRING | Yes | - | +| `negative_prompt` | Text describing what to avoid in the video | STRING | Yes | - | +| `seed` | Random seed value for reproducible results | INT | Yes | - | +| `resolution` | Output video resolution setting | STRING | Yes | - | +| `duration` | Length of the generated video in seconds | INT | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaImageToVideoNode2_2/en.md) --- **Source fingerprint (SHA-256):** `aaa8dc49b94f0fae2010a3b61a3fb41e212fa9d2946a934a1a7c651fdced81b3` diff --git a/built-in-nodes/PikaScenesV2_2.mdx b/built-in-nodes/PikaScenesV2_2.mdx index 3e259f4d7..9581ad5d2 100644 --- a/built-in-nodes/PikaScenesV2_2.mdx +++ b/built-in-nodes/PikaScenesV2_2.mdx @@ -5,34 +5,34 @@ sidebarTitle: "PikaScenesV2_2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaScenesV2_2/en.md) - The PikaScenes v2.2 node combines multiple images to create a video that incorporates objects from all the input images. You can upload up to five different images as ingredients and generate a high-quality video that blends them together seamlessly. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt_text` | STRING | Yes | - | Text description of what to generate | -| `negative_prompt` | STRING | Yes | - | Text description of what to avoid in the generation | -| `seed` | INT | Yes | - | Random seed value for generation | -| `resolution` | STRING | Yes | - | Output resolution for the video | -| `duration` | INT | Yes | - | Duration of the generated video | -| `ingredients_mode` | STRING | No | "creative"
"precise" | Mode for combining ingredients (default: "creative") | -| `aspect_ratio` | FLOAT | No | 0.4 - 2.5 | Aspect ratio (width / height) (default: 1.778) | -| `image_ingredient_1` | IMAGE | No | - | Image that will be used as ingredient to create a video | -| `image_ingredient_2` | IMAGE | No | - | Image that will be used as ingredient to create a video | -| `image_ingredient_3` | IMAGE | No | - | Image that will be used as ingredient to create a video | -| `image_ingredient_4` | IMAGE | No | - | Image that will be used as ingredient to create a video | -| `image_ingredient_5` | IMAGE | No | - | Image that will be used as ingredient to create a video | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt_text` | Text description of what to generate | STRING | Yes | - | +| `negative_prompt` | Text description of what to avoid in the generation | STRING | Yes | - | +| `seed` | Random seed value for generation | INT | Yes | - | +| `resolution` | Output resolution for the video | STRING | Yes | - | +| `duration` | Duration of the generated video | INT | Yes | - | +| `ingredients_mode` | Mode for combining ingredients (default: "creative") | STRING | No | "creative"
"precise" | +| `aspect_ratio` | Aspect ratio (width / height) (default: 1.778) | FLOAT | No | 0.4 - 2.5 | +| `image_ingredient_1` | Image that will be used as ingredient to create a video | IMAGE | No | - | +| `image_ingredient_2` | Image that will be used as ingredient to create a video | IMAGE | No | - | +| `image_ingredient_3` | Image that will be used as ingredient to create a video | IMAGE | No | - | +| `image_ingredient_4` | Image that will be used as ingredient to create a video | IMAGE | No | - | +| `image_ingredient_5` | Image that will be used as ingredient to create a video | IMAGE | No | - | **Note:** You can provide up to 5 image ingredients, but at least one image is required to generate a video. The node will use all provided images to create the final video composition. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video combining all input images | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video combining all input images | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaScenesV2_2/en.md) --- **Source fingerprint (SHA-256):** `dda8f10a58527c2b9037744f59f30821cdde37ad23427b856ba5e699a05acafd` diff --git a/built-in-nodes/PikaStartEndFrameNode2_2.mdx b/built-in-nodes/PikaStartEndFrameNode2_2.mdx index 5f1b9a411..3dbabd541 100644 --- a/built-in-nodes/PikaStartEndFrameNode2_2.mdx +++ b/built-in-nodes/PikaStartEndFrameNode2_2.mdx @@ -5,27 +5,27 @@ sidebarTitle: "PikaStartEndFrameNode2_2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaStartEndFrameNode2_2/en.md) - The PikaFrames v2.2 Node generates a video by combining your first and last frame. You upload two images to define the start and end points, and the AI creates a smooth transition between them to produce a complete video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image_start` | IMAGE | Yes | - | The first image to combine. | -| `image_end` | IMAGE | Yes | - | The last image to combine. | -| `prompt_text` | STRING | Yes | - | Text prompt describing the desired video content. | -| `negative_prompt` | STRING | Yes | - | Text describing what to avoid in the video. | -| `seed` | INT | Yes | - | Random seed value for generation consistency. | -| `resolution` | STRING | Yes | - | Output video resolution. | -| `duration` | INT | Yes | - | Duration of the generated video. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image_start` | The first image to combine. | IMAGE | Yes | - | +| `image_end` | The last image to combine. | IMAGE | Yes | - | +| `prompt_text` | Text prompt describing the desired video content. | STRING | Yes | - | +| `negative_prompt` | Text describing what to avoid in the video. | STRING | Yes | - | +| `seed` | Random seed value for generation consistency. | INT | Yes | - | +| `resolution` | Output video resolution. | STRING | Yes | - | +| `duration` | Duration of the generated video. | INT | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video combining the start and end frames with AI transitions. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video combining the start and end frames with AI transitions. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaStartEndFrameNode2_2/en.md) --- **Source fingerprint (SHA-256):** `0a26f6db754c61d1f35e3fd9faceb631a8103ce9ff38190a5dd637991914e238` diff --git a/built-in-nodes/PikaTextToVideoNode2_2.mdx b/built-in-nodes/PikaTextToVideoNode2_2.mdx index 7c124a217..5d7e78837 100644 --- a/built-in-nodes/PikaTextToVideoNode2_2.mdx +++ b/built-in-nodes/PikaTextToVideoNode2_2.mdx @@ -5,26 +5,26 @@ sidebarTitle: "PikaTextToVideoNode2_2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaTextToVideoNode2_2/en.md) - The Pika Text2Video v2.2 Node sends a text prompt to the Pika API version 2.2 to generate a video. It converts your text description into a video using Pika's AI video generation service. The node allows you to customize various aspects of the video generation process including aspect ratio, duration, and resolution. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt_text` | STRING | Yes | - | The main text description that describes what you want to generate in the video | -| `negative_prompt` | STRING | Yes | - | Text describing what you don't want to appear in the generated video | -| `seed` | INT | Yes | - | A number that controls the randomness of the generation for reproducible results | -| `resolution` | STRING | Yes | - | The resolution setting for the output video | -| `duration` | INT | Yes | - | The length of the video in seconds | -| `aspect_ratio` | FLOAT | No | 0.4 - 2.5 | Aspect ratio (width / height) (default: 1.7777777777777777) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt_text` | The main text description that describes what you want to generate in the video | STRING | Yes | - | +| `negative_prompt` | Text describing what you don't want to appear in the generated video | STRING | Yes | - | +| `seed` | A number that controls the randomness of the generation for reproducible results | INT | Yes | - | +| `resolution` | The resolution setting for the output video | STRING | Yes | - | +| `duration` | The length of the video in seconds | INT | Yes | - | +| `aspect_ratio` | Aspect ratio (width / height) (default: 1.7777777777777777) | FLOAT | No | 0.4 - 2.5 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file returned from the Pika API | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file returned from the Pika API | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaTextToVideoNode2_2/en.md) --- **Source fingerprint (SHA-256):** `b4287519f5d4cc4a1077a58fb13aa99697e3be038a0b382c4b4c9b0e53a0d8a8` diff --git a/built-in-nodes/Pikadditions.mdx b/built-in-nodes/Pikadditions.mdx index a9b2c884a..2d6e41609 100644 --- a/built-in-nodes/Pikadditions.mdx +++ b/built-in-nodes/Pikadditions.mdx @@ -5,25 +5,25 @@ sidebarTitle: "Pikadditions" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikadditions/en.md) - The Pikadditions node allows you to add any object or image into your video. You upload a video and specify what you'd like to add to create a seamlessly integrated result. This node uses the Pika API to insert images into videos with natural-looking integration. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | - | The video to add an image to. | -| `image` | IMAGE | Yes | - | The image to add to the video. | -| `prompt_text` | STRING | Yes | - | Text description of what to add to the video. | -| `negative_prompt` | STRING | Yes | - | Text description of what to avoid in the video. | -| `seed` | INT | Yes | 0 to 4294967295 | Random seed value for reproducible results. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | The video to add an image to. | VIDEO | Yes | - | +| `image` | The image to add to the video. | IMAGE | Yes | - | +| `prompt_text` | Text description of what to add to the video. | STRING | Yes | - | +| `negative_prompt` | Text description of what to avoid in the video. | STRING | Yes | - | +| `seed` | Random seed value for reproducible results. | INT | Yes | 0 to 4294967295 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The processed video with the image inserted. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The processed video with the image inserted. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikadditions/en.md) --- **Source fingerprint (SHA-256):** `cf7bb4ee0a672e20c0ffc128fa95df43e05356aea03b2070f928a0263aff6234` diff --git a/built-in-nodes/Pikaffects.mdx b/built-in-nodes/Pikaffects.mdx index 5a7efebe9..d3db72cf4 100644 --- a/built-in-nodes/Pikaffects.mdx +++ b/built-in-nodes/Pikaffects.mdx @@ -5,25 +5,25 @@ sidebarTitle: "Pikaffects" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaffects/en.md) - The Pikaffects node generates videos with various visual effects applied to an input image. It uses Pika's video generation API to transform static images into animated videos with specific effects like melting, exploding, or levitating. The node requires an API key and authentication token to access the Pika service. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The reference image to apply the Pikaffect to. | -| `pikaffect` | COMBO | Yes | "Cake-ify"
"Crumble"
"Crush"
"Decapitate"
"Deflate"
"Dissolve"
"Explode"
"Eye-pop"
"Inflate"
"Levitate"
"Melt"
"Peel"
"Poke"
"Squish"
"Ta-da"
"Tear" | The specific visual effect to apply to the image (default: "Cake-ify"). | -| `prompt_text` | STRING | Yes | - | Text description guiding the video generation. | -| `negative_prompt` | STRING | Yes | - | Text description of what to avoid in the generated video. | -| `seed` | INT | Yes | 0 to 4294967295 | Random seed value for reproducible results. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The reference image to apply the Pikaffect to. | IMAGE | Yes | - | +| `pikaffect` | The specific visual effect to apply to the image (default: "Cake-ify"). | COMBO | Yes | "Cake-ify"
"Crumble"
"Crush"
"Decapitate"
"Deflate"
"Dissolve"
"Explode"
"Eye-pop"
"Inflate"
"Levitate"
"Melt"
"Peel"
"Poke"
"Squish"
"Ta-da"
"Tear" | +| `prompt_text` | Text description guiding the video generation. | STRING | Yes | - | +| `negative_prompt` | Text description of what to avoid in the generated video. | STRING | Yes | - | +| `seed` | Random seed value for reproducible results. | INT | Yes | 0 to 4294967295 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video with the applied Pikaffect. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video with the applied Pikaffect. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaffects/en.md) --- **Source fingerprint (SHA-256):** `68ebbee465763d463bf73678254eed38d37ebacb1c62d386bbe66961deffd5a8` diff --git a/built-in-nodes/Pikaswaps.mdx b/built-in-nodes/Pikaswaps.mdx index e981cdbb1..59c43a53d 100644 --- a/built-in-nodes/Pikaswaps.mdx +++ b/built-in-nodes/Pikaswaps.mdx @@ -5,28 +5,28 @@ sidebarTitle: "Pikaswaps" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaswaps/en.md) - The Pika Swaps node replaces objects or regions in your video with a new image. You define the areas to replace using a mask, and the node seamlessly swaps the specified content throughout the video sequence. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | - | The video to swap an object in. | -| `image` | IMAGE | Yes | - | The image used to replace the masked object in the video. | -| `mask` | MASK | Yes | - | Use the mask to define areas in the video to replace. | -| `prompt_text` | STRING | Yes | - | Text prompt describing the desired replacement. | -| `negative_prompt` | STRING | Yes | - | Text prompt describing what to avoid in the replacement. | -| `seed` | INT | Yes | 0 to 4294967295 | Random seed value for consistent results. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | The video to swap an object in. | VIDEO | Yes | - | +| `image` | The image used to replace the masked object in the video. | IMAGE | Yes | - | +| `mask` | Use the mask to define areas in the video to replace. | MASK | Yes | - | +| `prompt_text` | Text prompt describing the desired replacement. | STRING | Yes | - | +| `negative_prompt` | Text prompt describing what to avoid in the replacement. | STRING | Yes | - | +| `seed` | Random seed value for consistent results. | INT | Yes | 0 to 4294967295 | **Note:** This node requires all input parameters to be provided. The `video`, `image`, and `mask` work together to define the replacement operation, where the mask specifies which areas of the video will be replaced with the provided image. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The processed video with the specified object or region replaced. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The processed video with the specified object or region replaced. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaswaps/en.md) --- **Source fingerprint (SHA-256):** `007b7bc429fdada2fb8910392b056ae3a98d482cce9e280bdcd162ede497eb03` diff --git a/built-in-nodes/PixverseImageToVideoNode.mdx b/built-in-nodes/PixverseImageToVideoNode.mdx index 5b2c18592..6443b0a03 100644 --- a/built-in-nodes/PixverseImageToVideoNode.mdx +++ b/built-in-nodes/PixverseImageToVideoNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "PixverseImageToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseImageToVideoNode/en.md) - Generates videos based on an input image and text prompt. This node takes an image and creates an animated video by applying the specified motion and quality settings to transform the static image into a moving sequence. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | Input image to transform into video | -| `prompt` | STRING | Yes | - | Prompt for the video generation | -| `quality` | COMBO | Yes | `res_540p`
`res_1080p` | Video quality setting (default: res_540p) | -| `duration_seconds` | COMBO | Yes | `dur_2`
`dur_5`
`dur_10` | Duration of the generated video in seconds | -| `motion_mode` | COMBO | Yes | `normal`
`fast`
`slow`
`zoom_in`
`zoom_out`
`pan_left`
`pan_right`
`pan_up`
`pan_down`
`tilt_up`
`tilt_down`
`roll_clockwise`
`roll_counterclockwise` | Motion style applied to the video generation | -| `seed` | INT | Yes | 0-2147483647 | Seed for video generation (default: 0) | -| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image | -| `pixverse_template` | CUSTOM | No | - | An optional template to influence style of generation, created by the PixVerse Template node | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | Input image to transform into video | IMAGE | Yes | - | +| `prompt` | Prompt for the video generation | STRING | Yes | - | +| `quality` | Video quality setting (default: res_540p) | COMBO | Yes | `res_540p`
`res_1080p` | +| `duration_seconds` | Duration of the generated video in seconds | COMBO | Yes | `dur_2`
`dur_5`
`dur_10` | +| `motion_mode` | Motion style applied to the video generation | COMBO | Yes | `normal`
`fast`
`slow`
`zoom_in`
`zoom_out`
`pan_left`
`pan_right`
`pan_up`
`pan_down`
`tilt_up`
`tilt_down`
`roll_clockwise`
`roll_counterclockwise` | +| `seed` | Seed for video generation (default: 0) | INT | Yes | 0-2147483647 | +| `negative_prompt` | An optional text description of undesired elements on an image | STRING | No | - | +| `pixverse_template` | An optional template to influence style of generation, created by the PixVerse Template node | CUSTOM | No | - | **Note:** When using 1080p quality, the motion mode is automatically set to normal and duration is limited to 5 seconds. For durations other than 5 seconds, the motion mode is also automatically set to normal. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | Generated video based on the input image and parameters | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | Generated video based on the input image and parameters | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseImageToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `4ca1624efc87e87de75c33aab850c84a0c8c786229930695fce479fe50455cb0` diff --git a/built-in-nodes/PixverseTemplateNode.mdx b/built-in-nodes/PixverseTemplateNode.mdx index fa3fdb3aa..c70a35bab 100644 --- a/built-in-nodes/PixverseTemplateNode.mdx +++ b/built-in-nodes/PixverseTemplateNode.mdx @@ -5,21 +5,21 @@ sidebarTitle: "PixverseTemplateNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md) - The PixVerse Template node allows you to select from available templates for PixVerse video generation. It converts your selected template name into the corresponding template ID that the PixVerse API requires for video creation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `template` | STRING | Yes | Multiple options available | The template to use for PixVerse video generation. The available options correspond to predefined templates in the PixVerse system. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `template` | The template to use for PixVerse video generation. The available options correspond to predefined templates in the PixVerse system. | STRING | Yes | Multiple options available | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `pixverse_template` | STRING | The template ID corresponding to the selected template name, which can be used by other PixVerse nodes for video generation. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `pixverse_template` | The template ID corresponding to the selected template name, which can be used by other PixVerse nodes for video generation. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md) --- **Source fingerprint (SHA-256):** `34daaf036f28b676b1048e8e4174ab34bf69328a94dd9e51696f6298936b4e84` diff --git a/built-in-nodes/PixverseTextToVideoNode.mdx b/built-in-nodes/PixverseTextToVideoNode.mdx index d2f93c988..e30872b4d 100644 --- a/built-in-nodes/PixverseTextToVideoNode.mdx +++ b/built-in-nodes/PixverseTextToVideoNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "PixverseTextToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md) - Generates videos based on a text prompt and various generation parameters. This node creates video content using the PixVerse API, allowing control over aspect ratio, quality, duration, motion style, and more. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Prompt for the video generation (default: "") | -| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | Aspect ratio for the generated video | -| `quality` | COMBO | Yes | `"540p"`
`"1080p"` | Video quality setting (default: "540p") | -| `duration_seconds` | COMBO | Yes | `"5"`
`"10"` | Duration of the generated video in seconds | -| `motion_mode` | COMBO | Yes | `"normal"`
`"fast"` | Motion style for the video generation | -| `seed` | INT | Yes | 0 to 2147483647 | Seed for video generation (default: 0) | -| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: "") | -| `pixverse_template` | CUSTOM | No | - | An optional template to influence style of generation, created by the PixVerse Template node | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the video generation (default: "") | STRING | Yes | - | +| `aspect_ratio` | Aspect ratio for the generated video | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | +| `quality` | Video quality setting (default: "540p") | COMBO | Yes | `"540p"`
`"1080p"` | +| `duration_seconds` | Duration of the generated video in seconds | COMBO | Yes | `"5"`
`"10"` | +| `motion_mode` | Motion style for the video generation | COMBO | Yes | `"normal"`
`"fast"` | +| `seed` | Seed for video generation (default: 0) | INT | Yes | 0 to 2147483647 | +| `negative_prompt` | An optional text description of undesired elements on an image (default: "") | STRING | No | - | +| `pixverse_template` | An optional template to influence style of generation, created by the PixVerse Template node | CUSTOM | No | - | **Note:** When using 1080p quality, the motion mode is automatically set to normal and duration is limited to 5 seconds. For non-5 second durations, the motion mode is also automatically set to normal. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `dd065e218e3e8ca3d70b58f4d8afdecc33094635663c87f79467452ca47881c7` diff --git a/built-in-nodes/PixverseTransitionVideoNode.mdx b/built-in-nodes/PixverseTransitionVideoNode.mdx index 5fe9210d8..25734c702 100644 --- a/built-in-nodes/PixverseTransitionVideoNode.mdx +++ b/built-in-nodes/PixverseTransitionVideoNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "PixverseTransitionVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md) - Generates a transition video between two input images using the PixVerse API. You provide a starting image and an ending image, and the node creates a smooth video that transitions from one to the other, guided by your text prompt and chosen settings. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `first_frame` | IMAGE | Yes | - | The starting image for the video transition | -| `last_frame` | IMAGE | Yes | - | The ending image for the video transition | -| `prompt` | STRING | Yes | - | Prompt for the video generation (default: empty string) | -| `quality` | COMBO | Yes | `"360p"`
`"540p"`
`"720p"`
`"1080p"` | Video quality setting (default: `"540p"`) | -| `duration_seconds` | COMBO | Yes | `5`
`8` | Video duration in seconds | -| `motion_mode` | COMBO | Yes | `"normal"`
`"fast"` | Motion style for the transition (default: `"normal"`) | -| `seed` | INT | Yes | 0 to 2147483647 | Seed for video generation (default: 0) | -| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: empty string) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `first_frame` | The starting image for the video transition | IMAGE | Yes | - | +| `last_frame` | The ending image for the video transition | IMAGE | Yes | - | +| `prompt` | Prompt for the video generation (default: empty string) | STRING | Yes | - | +| `quality` | Video quality setting (default: `"540p"`) | COMBO | Yes | `"360p"`
`"540p"`
`"720p"`
`"1080p"` | +| `duration_seconds` | Video duration in seconds | COMBO | Yes | `5`
`8` | +| `motion_mode` | Motion style for the transition (default: `"normal"`) | COMBO | Yes | `"normal"`
`"fast"` | +| `seed` | Seed for video generation (default: 0) | INT | Yes | 0 to 2147483647 | +| `negative_prompt` | An optional text description of undesired elements on an image (default: empty string) | STRING | No | - | **Note on parameter constraints:** When using 1080p quality, the motion mode is automatically set to `"normal"` and duration is limited to 5 seconds. For any non-5 second duration, the motion mode is also automatically set to `"normal"`. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated transition video | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated transition video | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md) --- **Source fingerprint (SHA-256):** `941ba26ffdd5cc93d800066ccd75adc4ccdb9a1c9f93ae0ccd28a11ba5f3c567` diff --git a/built-in-nodes/PolyexponentialScheduler.mdx b/built-in-nodes/PolyexponentialScheduler.mdx index 70cd62013..245df9817 100644 --- a/built-in-nodes/PolyexponentialScheduler.mdx +++ b/built-in-nodes/PolyexponentialScheduler.mdx @@ -5,20 +5,21 @@ sidebarTitle: "PolyexponentialScheduler" icon: "circle" mode: wide --- - The PolyexponentialScheduler node is designed to generate a sequence of noise levels (sigmas) based on a polyexponential noise schedule. This schedule is a polynomial function in the logarithm of sigma, allowing for a flexible and customizable progression of noise levels throughout the diffusion process. ## Inputs -| Parameter | Data Type | Description | -|-------------|-------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| `steps` | INT | Specifies the number of steps in the diffusion process, affecting the granularity of the generated noise levels. | -| `sigma_max` | FLOAT | The maximum noise level, setting the upper bound of the noise schedule. | -| `sigma_min` | FLOAT | The minimum noise level, setting the lower bound of the noise schedule. | -| `rho` | FLOAT | A parameter that controls the shape of the polyexponential noise schedule, influencing how noise levels progress between the minimum and maximum values. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `steps` | Specifies the number of steps in the diffusion process, affecting the granularity of the generated noise levels. | INT | +| `sigma_max` | The maximum noise level, setting the upper bound of the noise schedule. | FLOAT | +| `sigma_min` | The minimum noise level, setting the lower bound of the noise schedule. | FLOAT | +| `rho` | A parameter that controls the shape of the polyexponential noise schedule, influencing how noise levels progress between the minimum and maximum values. | FLOAT | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-----------------------------------------------------------------------------| -| `sigmas` | SIGMAS | The output is a sequence of noise levels (sigmas) tailored to the specified polyexponential noise schedule. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `sigmas` | The output is a sequence of noise levels (sigmas) tailored to the specified polyexponential noise schedule. | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PolyexponentialScheduler/en.md) diff --git a/built-in-nodes/PorterDuffImageComposite.mdx b/built-in-nodes/PorterDuffImageComposite.mdx index a981e76f0..ae2a68d0d 100644 --- a/built-in-nodes/PorterDuffImageComposite.mdx +++ b/built-in-nodes/PorterDuffImageComposite.mdx @@ -5,22 +5,23 @@ sidebarTitle: "PorterDuffImageComposite" icon: "circle" mode: wide --- - The PorterDuffImageComposite node is designed to perform image compositing using the Porter-Duff compositing operators. It allows for the combination of source and destination images according to various blending modes, enabling the creation of complex visual effects by manipulating image transparency and overlaying images in creative ways. ## Inputs -| Parameter | Data Type | Description | -| --------- | ------------ | ----------- | -| `source` | `IMAGE` | The source image tensor to be composited over the destination image. It plays a crucial role in determining the final visual outcome based on the selected compositing mode. | -| `source_alpha` | `MASK` | The alpha channel of the source image, which specifies the transparency of each pixel in the source image. It affects how the source image blends with the destination image. | -| `destination` | `IMAGE` | The destination image tensor that serves as the backdrop over which the source image is composited. It contributes to the final composited image based on the blending mode. | -| `destination_alpha` | `MASK` | The alpha channel of the destination image, defining the transparency of the destination image's pixels. It influences the blending of the source and destination images. | -| `mode` | COMBO[STRING] | The Porter-Duff compositing mode to apply, which determines how the source and destination images are blended together. Each mode creates different visual effects. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `source` | The source image tensor to be composited over the destination image. It plays a crucial role in determining the final visual outcome based on the selected compositing mode. | `IMAGE` | +| `source_alpha` | The alpha channel of the source image, which specifies the transparency of each pixel in the source image. It affects how the source image blends with the destination image. | `MASK` | +| `destination` | The destination image tensor that serves as the backdrop over which the source image is composited. It contributes to the final composited image based on the blending mode. | `IMAGE` | +| `destination_alpha` | The alpha channel of the destination image, defining the transparency of the destination image's pixels. It influences the blending of the source and destination images. | `MASK` | +| `mode` | The Porter-Duff compositing mode to apply, which determines how the source and destination images are blended together. Each mode creates different visual effects. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -| --------- | ------------ | ----------- | -| `image` | `IMAGE` | The composited image resulting from the application of the specified Porter-Duff mode. | -| `mask` | `MASK` | The alpha channel of the composited image, indicating the transparency of each pixel. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The composited image resulting from the application of the specified Porter-Duff mode. | `IMAGE` | +| `mask` | The alpha channel of the composited image, indicating the transparency of each pixel. | `MASK` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PorterDuffImageComposite/en.md) diff --git a/built-in-nodes/Preview3D.mdx b/built-in-nodes/Preview3D.mdx index c07451569..2c34b3087 100644 --- a/built-in-nodes/Preview3D.mdx +++ b/built-in-nodes/Preview3D.mdx @@ -16,10 +16,10 @@ Some related preferences for 3D nodes can be configured in ComfyUI's settings me ## Inputs -| Parameter Name | Type | Description | -| -------------- | -------------- | -------------------------------------------- | -| camera_info | LOAD3D_CAMERA | Camera information | -| model_file | LOAD3D_CAMERA | Model file path under `ComfyUI/output/` | +| Parameter Name | Description | Type | +| --- | --- | --- | +| camera_info | Camera information | LOAD3D_CAMERA | +| model_file | Model file path under `ComfyUI/output/` | LOAD3D_CAMERA | ## Canvas Area Description @@ -106,3 +106,5 @@ Through this menu, you can quickly adjust the scene's global illumination intens ![menu_export](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) This menu provides the ability to quickly convert and export model formats + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3D/en.md) diff --git a/built-in-nodes/Preview3DAdvanced.mdx b/built-in-nodes/Preview3DAdvanced.mdx new file mode 100644 index 000000000..179b8f8a7 --- /dev/null +++ b/built-in-nodes/Preview3DAdvanced.mdx @@ -0,0 +1,36 @@ +--- +title: "Preview3DAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Preview3DAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Preview3DAdvanced" +icon: "circle" +mode: wide +--- +# Preview 3D (Advanced) + +This node provides an advanced 3D model preview with camera and model information output. It saves the 3D model to a temporary file and displays it in the UI, while also passing through the model data, camera information, and viewport dimensions for further processing downstream. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `model_3d` | 3D model file from an upstream 3D node. | FILE3D | Yes | GLB, GLTF, FBX, OBJ, STL, USDZ, or any supported 3D format | +| `model_3d_info` | Optional model information metadata. | LOAD3DMODELINFO | No | - | +| `viewport_state` | The current viewport state containing camera and model information. | LOAD3D | Yes | - | +| `camera_info` | Optional camera configuration for the 3D view. | LOAD3DCAMERA | No | - | +| `width` | The width of the preview in pixels. | INT | Yes | 1 to 4096 (default: 1024) | +| `height` | The height of the preview in pixels. | INT | Yes | 1 to 4096 (default: 1024) | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `model_3d` | The 3D model file passed through from the input. | FILE3D | +| `model_3d_info` | Model information metadata, either from the input or from the viewport state. | LOAD3DMODELINFO | +| `camera_info` | Camera configuration, either from the input or from the viewport state. | LOAD3DCAMERA | +| `width` | The width of the preview in pixels. | INT | +| `height` | The height of the preview in pixels. | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3DAdvanced/en.md) + +--- +**Source fingerprint (SHA-256):** `7efe8720f88f7d6234387cd633ea629cbf43a0abea1a9aca6c5dcd43bf7f2145` diff --git a/built-in-nodes/Preview3DAnimation.mdx b/built-in-nodes/Preview3DAnimation.mdx index 2d4cc2b5a..741a58fd2 100644 --- a/built-in-nodes/Preview3DAnimation.mdx +++ b/built-in-nodes/Preview3DAnimation.mdx @@ -16,10 +16,10 @@ Some related preferences for 3D nodes can be configured in ComfyUI's settings me ## Inputs -| Parameter Name | Type | Description | -| -------------- | -------------- | -------------------------------------------- | -| camera_info | LOAD3D_CAMERA | Camera information | -| model_file | STRING | Model file path under `ComfyUI/output/` | +| Parameter Name | Description | Type | +| --- | --- | --- | +| camera_info | Camera information | LOAD3D_CAMERA | +| model_file | Model file path under `ComfyUI/output/` | STRING | ## Canvas Area Description @@ -106,3 +106,5 @@ Through this menu, you can quickly adjust the scene's global illumination intens ![menu_export](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) This menu provides the ability to quickly convert and export model formats + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3DAnimation/en.md) diff --git a/built-in-nodes/PreviewAny.mdx b/built-in-nodes/PreviewAny.mdx index 4fb168e06..15e1a661b 100644 --- a/built-in-nodes/PreviewAny.mdx +++ b/built-in-nodes/PreviewAny.mdx @@ -5,21 +5,21 @@ sidebarTitle: "PreviewAny" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAny/en.md) - The PreviewAny node displays a preview of any input data type in text format. It accepts any data type as input and converts it to a readable string representation for viewing. The node automatically handles different data types including strings, numbers, booleans, and complex objects by attempting to serialize them to JSON format. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `source` | ANY | Yes | Any data type | Accepts any input data type for preview display | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `source` | Accepts any input data type for preview display | ANY | Yes | Any data type | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `UI Text Display` | STRING | Displays the input data converted to text format in the user interface. Also returns the text as a string output for further processing. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `UI Text Display` | Displays the input data converted to text format in the user interface. Also returns the text as a string output for further processing. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAny/en.md) --- **Source fingerprint (SHA-256):** `6011c39a31ef9a6786a1dff6e135edcf35def2f715b49301dd49a6467f859271` diff --git a/built-in-nodes/PreviewAudio.mdx b/built-in-nodes/PreviewAudio.mdx index ae1f73528..0b0739962 100644 --- a/built-in-nodes/PreviewAudio.mdx +++ b/built-in-nodes/PreviewAudio.mdx @@ -5,21 +5,21 @@ sidebarTitle: "PreviewAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAudio/en.md) - The PreviewAudio node creates a temporary audio preview that can be played directly in the interface. It takes audio data as input and generates a preview widget, allowing users to listen to audio outputs without saving permanent files. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | - | The audio data to preview. This node will raise an error if the input audio is None, which can happen when the source video has no audio track. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | The audio data to preview. This node will raise an error if the input audio is None, which can happen when the source video has no audio track. | AUDIO | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `ui` | UI | Displays an audio player widget in the interface for previewing the audio | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `ui` | Displays an audio player widget in the interface for previewing the audio | UI | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAudio/en.md) --- **Source fingerprint (SHA-256):** `d914d634c063cc97e3cd24b813250d1e5b0e4bce23dfe97d475259a53b3212d2` diff --git a/built-in-nodes/PreviewGaussianSplat.mdx b/built-in-nodes/PreviewGaussianSplat.mdx new file mode 100644 index 000000000..59fffef36 --- /dev/null +++ b/built-in-nodes/PreviewGaussianSplat.mdx @@ -0,0 +1,36 @@ +--- +title: "PreviewGaussianSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PreviewGaussianSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PreviewGaussianSplat" +icon: "circle" +mode: wide +--- +# PreviewGaussianSplat + +The PreviewGaussianSplat node allows you to preview a 3D gaussian splat file within the ComfyUI interface. It accepts a 3D model file in various gaussian splat formats and renders it in a 3D preview window, passing through the model data for further processing. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `model_3d` | A gaussian splat 3D file. | FILE3D | Yes | Supported formats: splat, ply, spz, ksplat | +| `model_3d_info` | Optional metadata information about the 3D model. | LOAD3DMODELINFO | No | - | +| `viewport_state` | The current state of the 3D viewport, including camera and model information. | LOAD3D | Yes | - | +| `camera_info` | Optional camera information for the preview. | LOAD3DCAMERA | No | - | +| `width` | The width of the preview render in pixels (default: 1024). | INT | Yes | 1 to 4096 | +| `height` | The height of the preview render in pixels (default: 1024). | INT | Yes | 1 to 4096 | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `model_3d` | The input 3D gaussian splat file, passed through unchanged. | FILE3D | +| `model_3d_info` | Metadata information about the 3D model, either from the input or derived from the viewport state. | LOAD3DMODELINFO | +| `camera_info` | Camera information for the preview, either from the input or derived from the viewport state. | LOAD3DCAMERA | +| `width` | The width of the preview render. | INT | +| `height` | The height of the preview render. | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewGaussianSplat/en.md) + +--- +**Source fingerprint (SHA-256):** `7b79e9ab25858e7db6e999313cc11226895aeb4d7fee414f56f0d5fd2363b485` diff --git a/built-in-nodes/PreviewImage.mdx b/built-in-nodes/PreviewImage.mdx index 5ef07a7b6..7997240e5 100644 --- a/built-in-nodes/PreviewImage.mdx +++ b/built-in-nodes/PreviewImage.mdx @@ -5,15 +5,16 @@ sidebarTitle: "PreviewImage" icon: "circle" mode: wide --- - The PreviewImage node is designed for creating temporary preview images. It automatically generates a unique temporary file name for each image, compresses the image to a specified level, and saves it to a temporary directory. This functionality is particularly useful for generating previews of images during processing without affecting the original files. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `images` | `IMAGE` | The 'images' input specifies the images to be processed and saved as temporary preview images. This is the primary input for the node, determining which images will undergo the preview generation process. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `images` | The 'images' input specifies the images to be processed and saved as temporary preview images. This is the primary input for the node, determining which images will undergo the preview generation process. | `IMAGE` | ## Outputs The node doesn't have output types. + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewImage/en.md) diff --git a/built-in-nodes/PreviewPointCloud.mdx b/built-in-nodes/PreviewPointCloud.mdx new file mode 100644 index 000000000..13c60e9cf --- /dev/null +++ b/built-in-nodes/PreviewPointCloud.mdx @@ -0,0 +1,36 @@ +--- +title: "PreviewPointCloud - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PreviewPointCloud node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PreviewPointCloud" +icon: "circle" +mode: wide +--- +# Preview Point Cloud + +The Preview Point Cloud node allows you to view a 3D point cloud file within the ComfyUI interface. It saves the point cloud to a temporary file and displays it in a 3D preview window, passing through the model data and viewport settings for further processing. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `model_3d` | Point cloud file (.ply) | FILE3D | Yes | - | +| `model_3d_info` | Information about the 3D model | LOAD3DMODELINFO | No | - | +| `viewport_state` | The current viewport state | LOAD3D | Yes | - | +| `camera_info` | Camera information for the 3D view | LOAD3DCAMERA | No | - | +| `width` | Width of the preview window (default: 1024) | INT | Yes | 1 to 4096 | +| `height` | Height of the preview window (default: 1024) | INT | Yes | 1 to 4096 | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `model_3d` | The point cloud model data | FILE3D | +| `model_3d_info` | Information about the 3D model | LOAD3DMODELINFO | +| `camera_info` | Camera information for the 3D view | LOAD3DCAMERA | +| `width` | Width of the preview window | INT | +| `height` | Height of the preview window | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewPointCloud/en.md) + +--- +**Source fingerprint (SHA-256):** `f3121511841d1962aad881c0ac5b93f24842bf4810e84fe241330e9eab90334a` diff --git a/built-in-nodes/PrimitiveBoolean.mdx b/built-in-nodes/PrimitiveBoolean.mdx index 83370b3f9..dc8f9db2f 100644 --- a/built-in-nodes/PrimitiveBoolean.mdx +++ b/built-in-nodes/PrimitiveBoolean.mdx @@ -5,21 +5,21 @@ sidebarTitle: "PrimitiveBoolean" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoolean/en.md) - The Boolean node provides a simple way to pass boolean (true/false) values through your workflow. It takes a boolean input value and outputs the same value unchanged, allowing you to control boolean parameters in other nodes. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `value` | BOOLEAN | Yes | true
false | The boolean value to pass through the node | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `value` | The boolean value to pass through the node | BOOLEAN | Yes | true
false | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | BOOLEAN | The same boolean value that was provided as input | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The same boolean value that was provided as input | BOOLEAN | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoolean/en.md) --- **Source fingerprint (SHA-256):** `79442504184760e90a61eea787bb5e67f40e051b2ca8ee9bf6275f149bf7568b` diff --git a/built-in-nodes/PrimitiveBoundingBox.mdx b/built-in-nodes/PrimitiveBoundingBox.mdx index d81ff8b12..8df0abb6e 100644 --- a/built-in-nodes/PrimitiveBoundingBox.mdx +++ b/built-in-nodes/PrimitiveBoundingBox.mdx @@ -5,24 +5,24 @@ sidebarTitle: "PrimitiveBoundingBox" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoundingBox/en.md) - The PrimitiveBoundingBox node creates a simple rectangular area defined by its position and size. It takes X and Y coordinates for the top-left corner, along with width and height values, and outputs a bounding box data structure that can be used by other nodes in a workflow. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `x` | INT | Yes | 0 to 8192 | The X-coordinate for the top-left corner of the bounding box (default: 0). | -| `y` | INT | Yes | 0 to 8192 | The Y-coordinate for the top-left corner of the bounding box (default: 0). | -| `width` | INT | Yes | 1 to 8192 | The width of the bounding box (default: 512). | -| `height` | INT | Yes | 1 to 8192 | The height of the bounding box (default: 512). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `x` | The X-coordinate for the top-left corner of the bounding box (default: 0). | INT | Yes | 0 to 8192 | +| `y` | The Y-coordinate for the top-left corner of the bounding box (default: 0). | INT | Yes | 0 to 8192 | +| `width` | The width of the bounding box (default: 512). | INT | Yes | 1 to 8192 | +| `height` | The height of the bounding box (default: 512). | INT | Yes | 1 to 8192 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `bounding_box` | BOUNDING_BOX | A data structure containing the `x`, `y`, `width`, and `height` properties of the defined rectangle. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `bounding_box` | A data structure containing the `x`, `y`, `width`, and `height` properties of the defined rectangle. | BOUNDING_BOX | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoundingBox/en.md) --- **Source fingerprint (SHA-256):** `3a91a1a2656fa46f8257334bbaf3bcba861ab91da8ebbfcefe7d5f3547dd307f` diff --git a/built-in-nodes/PrimitiveFloat.mdx b/built-in-nodes/PrimitiveFloat.mdx index b3946345e..7fd5fc2a2 100644 --- a/built-in-nodes/PrimitiveFloat.mdx +++ b/built-in-nodes/PrimitiveFloat.mdx @@ -5,21 +5,21 @@ sidebarTitle: "PrimitiveFloat" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveFloat/en.md) - The PrimitiveFloat node creates a floating-point number value that can be used in your workflow. It takes a single numeric input and outputs that same value, allowing you to define and pass float values between different nodes in your ComfyUI pipeline. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `value` | FLOAT | Yes | -sys.maxsize to sys.maxsize (step: 0.1) | The floating-point number value to output (default: 0.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `value` | The floating-point number value to output (default: 0.0) | FLOAT | Yes | -sys.maxsize to sys.maxsize (step: 0.1) | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | FLOAT | The input floating-point number value | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The input floating-point number value | FLOAT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveFloat/en.md) --- **Source fingerprint (SHA-256):** `92f1603421dfcc06867f001222ca49b322de1537e05336f94e250a9422236d11` diff --git a/built-in-nodes/PrimitiveInt.mdx b/built-in-nodes/PrimitiveInt.mdx index c3867684a..14b432194 100644 --- a/built-in-nodes/PrimitiveInt.mdx +++ b/built-in-nodes/PrimitiveInt.mdx @@ -5,21 +5,21 @@ sidebarTitle: "PrimitiveInt" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveInt/en.md) - The PrimitiveInt node provides a simple way to work with integer values in your workflow. It takes an integer input and outputs the same value, making it useful for passing integer parameters between nodes or setting specific numeric values for other operations. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `value` | INT | Yes | -9223372036854775807 to 9223372036854775807 | The integer value to output (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `value` | The integer value to output (default: 0) | INT | Yes | -9223372036854775807 to 9223372036854775807 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | INT | The input integer value passed through unchanged | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The input integer value passed through unchanged | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveInt/en.md) --- **Source fingerprint (SHA-256):** `79e0bad8e15fd660ee405ad34bf4f1cd76d2c37494f640be1ddf4d9fe8cbb9a0` diff --git a/built-in-nodes/PrimitiveString.mdx b/built-in-nodes/PrimitiveString.mdx index fb4315ca1..ebe3f0974 100644 --- a/built-in-nodes/PrimitiveString.mdx +++ b/built-in-nodes/PrimitiveString.mdx @@ -5,21 +5,21 @@ sidebarTitle: "PrimitiveString" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveString/en.md) - The String node provides a simple way to input and pass through text data in your workflow. It takes a text string as input and outputs the same string unchanged, making it useful for providing text inputs to other nodes that require string parameters. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `value` | STRING | Yes | Any text | The text string to be passed through the node | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `value` | The text string to be passed through the node | STRING | Yes | Any text | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The same text string that was provided as input | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The same text string that was provided as input | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveString/en.md) --- **Source fingerprint (SHA-256):** `4e7b3a07572480f9138b7c77268581875b91599964382c11a8f5fbcd7f76f213` diff --git a/built-in-nodes/PrimitiveStringMultiline.mdx b/built-in-nodes/PrimitiveStringMultiline.mdx index 300812acc..1b5b45221 100644 --- a/built-in-nodes/PrimitiveStringMultiline.mdx +++ b/built-in-nodes/PrimitiveStringMultiline.mdx @@ -5,21 +5,21 @@ sidebarTitle: "PrimitiveStringMultiline" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveStringMultiline/en.md) - The PrimitiveStringMultiline node provides a multiline text input field for entering and passing string values through your workflow. It accepts text input with multiple lines and outputs the same string value unchanged. This node is useful when you need to input longer text content or formatted text that spans multiple lines. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `value` | STRING | Yes | N/A | The text input value that can span multiple lines | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `value` | The text input value that can span multiple lines | STRING | Yes | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The same string value that was provided as input | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The same string value that was provided as input | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveStringMultiline/en.md) --- **Source fingerprint (SHA-256):** `cc3e3f09f71f91721c338649699ffb8822de5109a2892e93eb9746ba3c9b22fb` diff --git a/built-in-nodes/QuadrupleCLIPLoader.mdx b/built-in-nodes/QuadrupleCLIPLoader.mdx index 6cb144f11..fe48df587 100644 --- a/built-in-nodes/QuadrupleCLIPLoader.mdx +++ b/built-in-nodes/QuadrupleCLIPLoader.mdx @@ -12,3 +12,5 @@ It requires 4 CLIP models, corresponding to the parameters `clip_name1`, `clip_n This node will detect models located in the `ComfyUI/models/text_encoders` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, after adding models, you may need to **reload the ComfyUI interface** to allow it to read the model files in the corresponding folder. + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuadrupleCLIPLoader/en.md) diff --git a/built-in-nodes/QuiverImageToSVGNode.mdx b/built-in-nodes/QuiverImageToSVGNode.mdx index 5b9c2a4c3..e403742d0 100644 --- a/built-in-nodes/QuiverImageToSVGNode.mdx +++ b/built-in-nodes/QuiverImageToSVGNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "QuiverImageToSVGNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverImageToSVGNode/en.md) - This node converts a raster image into a scalable vector graphic (SVG) using Quiver AI's vectorization models. It sends the image to an external API which processes it and returns the vectorized result. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | N/A | Input image to vectorize. | -| `auto_crop` | BOOLEAN | No | `True`
`False` | Automatically crop to the dominant subject. This is an advanced parameter (default: `False`). | -| `model` | DYNAMICCOMBO | Yes | Multiple options available | Model to use for SVG vectorization. Selecting a model reveals additional parameters specific to that model: `target_size` (square resize target in pixels, default: 1024, range: 128-4096), `temperature`, `top_p`, and `presence_penalty`. | -| `seed` | INT | No | 0 to 2147483647 | Seed to determine if the node should re-run; the actual results are nondeterministic regardless of the seed value. This parameter has "control after generate" functionality (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | Input image to vectorize. | IMAGE | Yes | N/A | +| `auto_crop` | Automatically crop to the dominant subject. This is an advanced parameter (default: `False`). | BOOLEAN | No | `True`
`False` | +| `model` | Model to use for SVG vectorization. Selecting a model reveals additional parameters specific to that model: `target_size` (square resize target in pixels, default: 1024, range: 128-4096), `temperature`, `top_p`, and `presence_penalty`. | DYNAMICCOMBO | Yes | Multiple options available | +| `seed` | Seed to determine if the node should re-run; the actual results are nondeterministic regardless of the seed value. This parameter has "control after generate" functionality (default: 0). | INT | No | 0 to 2147483647 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `SVG` | SVG | The vectorized SVG output. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `SVG` | The vectorized SVG output. | SVG | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverImageToSVGNode/en.md) --- **Source fingerprint (SHA-256):** `f2e411bd3ed235d04a94cb3e5c26990eb30404c3329e9c91e705d3039d2d8089` diff --git a/built-in-nodes/QuiverTextToSVGNode.mdx b/built-in-nodes/QuiverTextToSVGNode.mdx index 68a29956f..7cc6ce9fa 100644 --- a/built-in-nodes/QuiverTextToSVGNode.mdx +++ b/built-in-nodes/QuiverTextToSVGNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "QuiverTextToSVGNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverTextToSVGNode/en.md) - The Quiver Text to SVG node generates a Scalable Vector Graphic (SVG) image from a text description using Quiver AI's models. You can optionally provide reference images and style instructions to guide the generation process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text description of the desired SVG output. This is the main instruction for what to generate. | -| `instructions` | STRING | No | N/A | Additional style or formatting guidance. This is an optional, advanced parameter. | -| `reference_images` | IMAGE | No | 0 to 4 images | Up to 4 reference images to guide the generation. This is an optional input. | -| `model` | COMBO | Yes | `"Quiver SVG v1"`
`"Quiver SVG v1 Max"`
`"Quiver SVG v1 Preview"` | Model to use for SVG generation. The available options are determined by the Quiver API. | -| `seed` | INT | Yes | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. Default: 0. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text description of the desired SVG output. This is the main instruction for what to generate. | STRING | Yes | N/A | +| `instructions` | Additional style or formatting guidance. This is an optional, advanced parameter. | STRING | No | N/A | +| `reference_images` | Up to 4 reference images to guide the generation. This is an optional input. | IMAGE | No | 0 to 4 images | +| `model` | Model to use for SVG generation. The available options are determined by the Quiver API. | COMBO | Yes | `"Quiver SVG v1"`
`"Quiver SVG v1 Max"`
`"Quiver SVG v1 Preview"` | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. Default: 0. | INT | Yes | 0 to 2147483647 | **Note:** The `reference_images` input accepts a maximum of 4 images. If more are provided, the node will raise an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `SVG` | SVG | The generated Scalable Vector Graphic (SVG) image. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `SVG` | The generated Scalable Vector Graphic (SVG) image. | SVG | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverTextToSVGNode/en.md) --- **Source fingerprint (SHA-256):** `dd5edd1be1c3cfd4b651896a1b020da7005f72097e0dcf09b947be0b771b8756` diff --git a/built-in-nodes/QwenImageDiffsynthControlnet.mdx b/built-in-nodes/QwenImageDiffsynthControlnet.mdx index 2224f15f0..8d76ea88d 100644 --- a/built-in-nodes/QwenImageDiffsynthControlnet.mdx +++ b/built-in-nodes/QwenImageDiffsynthControlnet.mdx @@ -5,28 +5,28 @@ sidebarTitle: "QwenImageDiffsynthControlnet" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QwenImageDiffsynthControlnet/en.md) - The QwenImageDiffsynthControlnet node applies a diffusion synthesis control network patch to modify a base model's behavior. It uses an image input and optional mask to guide the model's generation process with adjustable strength, creating a patched model that incorporates the control network's influence for more controlled image synthesis. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The base model to be patched with the control network | -| `model_patch` | MODEL_PATCH | Yes | - | The control network patch model to apply to the base model | -| `vae` | VAE | Yes | - | The VAE (Variational Autoencoder) used in the diffusion process | -| `image` | IMAGE | Yes | - | The input image used to guide the control network (only RGB channels are used) | -| `strength` | FLOAT | Yes | -10.0 to 10.0 | The strength of the control network influence (default: 1.0) | -| `mask` | MASK | No | - | Optional mask that defines areas where the control network should be applied (inverted internally) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The base model to be patched with the control network | MODEL | Yes | - | +| `model_patch` | The control network patch model to apply to the base model | MODEL_PATCH | Yes | - | +| `vae` | The VAE (Variational Autoencoder) used in the diffusion process | VAE | Yes | - | +| `image` | The input image used to guide the control network (only RGB channels are used) | IMAGE | Yes | - | +| `strength` | The strength of the control network influence (default: 1.0) | FLOAT | Yes | -10.0 to 10.0 | +| `mask` | Optional mask that defines areas where the control network should be applied (inverted internally) | MASK | No | - | **Note:** When a mask is provided, it is automatically inverted (1.0 - mask) and reshaped to match the expected dimensions for the control network processing. The node uses different internal processing methods depending on whether the model patch is a ZImage Control type or a standard DiffSynth control network. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with the diffusion synthesis control network patch applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with the diffusion synthesis control network patch applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QwenImageDiffsynthControlnet/en.md) --- **Source fingerprint (SHA-256):** `61833984d0b92be65fae72a894806572c0588dea74a295e8289d1194dee611bb` diff --git a/built-in-nodes/RTDETR_detect.mdx b/built-in-nodes/RTDETR_detect.mdx index 1658bf1b7..b3a506068 100644 --- a/built-in-nodes/RTDETR_detect.mdx +++ b/built-in-nodes/RTDETR_detect.mdx @@ -5,25 +5,25 @@ sidebarTitle: "RTDETR_detect" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RTDETR_detect/en.md) - The RT-DETR Detect node performs object detection on input images using an RT-DETR model. It identifies objects, draws bounding boxes around them, and labels them according to the COCO dataset classes. You can filter the results by confidence score, object class, and limit the total number of detections. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | N/A | The RT-DETR model used for object detection. | -| `image` | IMAGE | Yes | N/A | The input image(s) to detect objects in. The node processes images in batches of up to 32. | -| `threshold` | FLOAT | No | N/A | The minimum confidence score a detection must have to be included in the results (default: 0.5). | -| `class_name` | COMBO | No | `"all"`
`"person"`
`"bicycle"`
`"car"`
`"motorcycle"`
`"airplane"`
`"bus"`
`"train"`
`"truck"`
`"boat"`
`"traffic light"`
`"fire hydrant"`
`"stop sign"`
`"parking meter"`
`"bench"`
`"bird"`
`"cat"`
`"dog"`
`"horse"`
`"sheep"`
`"cow"`
`"elephant"`
`"bear"`
`"zebra"`
`"giraffe"`
`"backpack"`
`"umbrella"`
`"handbag"`
`"tie"`
`"suitcase"`
`"frisbee"`
`"skis"`
`"snowboard"`
`"sports ball"`
`"kite"`
`"baseball bat"`
`"baseball glove"`
`"skateboard"`
`"surfboard"`
`"tennis racket"`
`"bottle"`
`"wine glass"`
`"cup"`
`"fork"`
`"knife"`
`"spoon"`
`"bowl"`
`"banana"`
`"apple"`
`"sandwich"`
`"orange"`
`"broccoli"`
`"carrot"`
`"hot dog"`
`"pizza"`
`"donut"`
`"cake"`
`"chair"`
`"couch"`
`"potted plant"`
`"bed"`
`"dining table"`
`"toilet"`
`"tv"`
`"laptop"`
`"mouse"`
`"remote"`
`"keyboard"`
`"cell phone"`
`"microwave"`
`"oven"`
`"toaster"`
`"sink"`
`"refrigerator"`
`"book"`
`"clock"`
`"vase"`
`"scissors"`
`"teddy bear"`
`"hair drier"`
`"toothbrush"` | Filter detections by class. Set to 'all' to disable filtering (default: "all"). | -| `max_detections` | INT | No | N/A | Maximum number of detections to return per image. In order of descending confidence score (default: 100). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The RT-DETR model used for object detection. | MODEL | Yes | N/A | +| `image` | The input image(s) to detect objects in. The node processes images in batches of up to 32. | IMAGE | Yes | N/A | +| `threshold` | The minimum confidence score a detection must have to be included in the results (default: 0.5). | FLOAT | No | N/A | +| `class_name` | Filter detections by class. Set to 'all' to disable filtering (default: "all"). | COMBO | No | `"all"`
`"person"`
`"bicycle"`
`"car"`
`"motorcycle"`
`"airplane"`
`"bus"`
`"train"`
`"truck"`
`"boat"`
`"traffic light"`
`"fire hydrant"`
`"stop sign"`
`"parking meter"`
`"bench"`
`"bird"`
`"cat"`
`"dog"`
`"horse"`
`"sheep"`
`"cow"`
`"elephant"`
`"bear"`
`"zebra"`
`"giraffe"`
`"backpack"`
`"umbrella"`
`"handbag"`
`"tie"`
`"suitcase"`
`"frisbee"`
`"skis"`
`"snowboard"`
`"sports ball"`
`"kite"`
`"baseball bat"`
`"baseball glove"`
`"skateboard"`
`"surfboard"`
`"tennis racket"`
`"bottle"`
`"wine glass"`
`"cup"`
`"fork"`
`"knife"`
`"spoon"`
`"bowl"`
`"banana"`
`"apple"`
`"sandwich"`
`"orange"`
`"broccoli"`
`"carrot"`
`"hot dog"`
`"pizza"`
`"donut"`
`"cake"`
`"chair"`
`"couch"`
`"potted plant"`
`"bed"`
`"dining table"`
`"toilet"`
`"tv"`
`"laptop"`
`"mouse"`
`"remote"`
`"keyboard"`
`"cell phone"`
`"microwave"`
`"oven"`
`"toaster"`
`"sink"`
`"refrigerator"`
`"book"`
`"clock"`
`"vase"`
`"scissors"`
`"teddy bear"`
`"hair drier"`
`"toothbrush"` | +| `max_detections` | Maximum number of detections to return per image. In order of descending confidence score (default: 100). | INT | No | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `bboxes` | BOUNDINGBOX | A list of bounding boxes for each input image. Each box contains coordinates (x, y, width, height), a class label, and a confidence score. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `bboxes` | A list of bounding boxes for each input image. Each box contains coordinates (x, y, width, height), a class label, and a confidence score. | BOUNDINGBOX | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RTDETR_detect/en.md) --- **Source fingerprint (SHA-256):** `2abc841cc439138bbd944a2e0f9dc5f76e373b158b3b5caed0d9dd405b7f3538` diff --git a/built-in-nodes/RandomCropImages.mdx b/built-in-nodes/RandomCropImages.mdx index badebf8a8..7bdb23f6f 100644 --- a/built-in-nodes/RandomCropImages.mdx +++ b/built-in-nodes/RandomCropImages.mdx @@ -5,26 +5,26 @@ sidebarTitle: "RandomCropImages" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomCropImages/en.md) - The Random Crop Images node randomly selects a rectangular section from each input image and crops it to a specified width and height. This is commonly used for data augmentation to create variations of training images. The random position for the crop is determined by a seed value, ensuring the same crop can be reproduced. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The image to be cropped. | -| `width` | INT | No | 1 - 8192 | The width of the crop area (default: 512). | -| `height` | INT | No | 1 - 8192 | The height of the crop area (default: 512). | -| `seed` | INT | No | 0 - 18446744073709551615 | A number used to control the random position of the crop (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The image to be cropped. | IMAGE | Yes | - | +| `width` | The width of the crop area (default: 512). | INT | No | 1 - 8192 | +| `height` | The height of the crop area (default: 512). | INT | No | 1 - 8192 | +| `seed` | A number used to control the random position of the crop (default: 0). | INT | No | 0 - 18446744073709551615 | **Note:** The `width` and `height` parameters must be less than or equal to the dimensions of the input image. If a specified dimension is larger than the image, the crop will be limited to the image's boundary. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The resulting image after the random crop has been applied. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The resulting image after the random crop has been applied. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomCropImages/en.md) --- **Source fingerprint (SHA-256):** `8452a07a1cf66a520fb482f5239df3f33cfe3a77a28e289894ccd1d2544ecf40` diff --git a/built-in-nodes/RandomNoise.mdx b/built-in-nodes/RandomNoise.mdx index 245fadb8c..7291bcaf1 100644 --- a/built-in-nodes/RandomNoise.mdx +++ b/built-in-nodes/RandomNoise.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RandomNoise" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomNoise/en.md) - The RandomNoise node generates random noise patterns based on a seed value. It creates reproducible noise that can be used for various image processing and generation tasks. The same seed will always produce the same noise pattern, allowing for consistent results across multiple runs. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `noise_seed` | INT | Yes | 0 to 18446744073709551615 | The seed value used to generate the random noise pattern (default: 0). The same seed will always produce the same noise output. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `noise_seed` | The seed value used to generate the random noise pattern (default: 0). The same seed will always produce the same noise output. | INT | Yes | 0 to 18446744073709551615 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `noise` | NOISE | The generated random noise pattern based on the provided seed value. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `noise` | The generated random noise pattern based on the provided seed value. | NOISE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomNoise/en.md) --- **Source fingerprint (SHA-256):** `fcbf92e8b1c1ff001da302208ba4a3960deb1246d76179ceba0b31af6be77203` diff --git a/built-in-nodes/RebatchImages.mdx b/built-in-nodes/RebatchImages.mdx index 087b7083d..48afe6b23 100644 --- a/built-in-nodes/RebatchImages.mdx +++ b/built-in-nodes/RebatchImages.mdx @@ -5,18 +5,19 @@ sidebarTitle: "RebatchImages" icon: "circle" mode: wide --- - The RebatchImages node is designed to reorganize a batch of images into a new batch configuration, adjusting the batch size as specified. This process is essential for managing and optimizing the processing of image data in batch operations, ensuring that images are grouped according to the desired batch size for efficient handling. ## Inputs -| Field | Data Type | Description | -|-------------|-------------|-------------------------------------------------------------------------------------| -| `images` | `IMAGE` | A list of images to be rebatched. This parameter is crucial for determining the input data that will undergo the rebatching process. | -| `batch_size`| `INT` | Specifies the desired size of the output batches. This parameter directly influences how the input images are grouped and processed, impacting the structure of the output. | +| Field | Description | Data Type | +| --- | --- | --- | +| `images` | A list of images to be rebatched. This parameter is crucial for determining the input data that will undergo the rebatching process. | `IMAGE` | +| `batch_size` | Specifies the desired size of the output batches. This parameter directly influences how the input images are grouped and processed, impacting the structure of the output. | `INT` | ## Outputs -| Field | Data Type | Description | -|-------|-------------|-------------------------------------------------------------------------------| -| `image`| `IMAGE` | The output consists of a list of image batches, reorganized according to the specified batch size. This allows for flexible and efficient processing of image data in batch operations. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The output consists of a list of image batches, reorganized according to the specified batch size. This allows for flexible and efficient processing of image data in batch operations. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RebatchImages/en.md) diff --git a/built-in-nodes/RebatchLatents.mdx b/built-in-nodes/RebatchLatents.mdx index ebd0eecc4..3fa48c2c0 100644 --- a/built-in-nodes/RebatchLatents.mdx +++ b/built-in-nodes/RebatchLatents.mdx @@ -5,18 +5,19 @@ sidebarTitle: "RebatchLatents" icon: "circle" mode: wide --- - The RebatchLatents node is designed to reorganize a batch of latent representations into a new batch configuration, based on a specified batch size. It ensures that the latent samples are grouped appropriately, handling variations in dimensions and sizes, to facilitate further processing or model inference. ## Inputs -| Parameter | Data Type | Description | -|--------------|-------------|-------------| -| `latents` | `LATENT` | The 'latents' parameter represents the input latent representations to be rebatched. It is crucial for determining the structure and content of the output batch. | -| `batch_size` | `INT` | The 'batch_size' parameter specifies the desired number of samples per batch in the output. It directly influences the grouping and division of the input latents into new batches. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latents` | The 'latents' parameter represents the input latent representations to be rebatched. It is crucial for determining the structure and content of the output batch. | `LATENT` | +| `batch_size` | The 'batch_size' parameter specifies the desired number of samples per batch in the output. It directly influences the grouping and division of the input latents into new batches. | `INT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The output is a reorganized batch of latent representations, adjusted according to the specified batch size. It facilitates further processing or analysis. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The output is a reorganized batch of latent representations, adjusted according to the specified batch size. It facilitates further processing or analysis. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RebatchLatents/en.md) diff --git a/built-in-nodes/RecordAudio.mdx b/built-in-nodes/RecordAudio.mdx index cf0d06666..4e15c741b 100644 --- a/built-in-nodes/RecordAudio.mdx +++ b/built-in-nodes/RecordAudio.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RecordAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecordAudio/en.md) - The RecordAudio node loads audio files that have been recorded or selected through the audio recording interface. It processes the audio file and converts it into a waveform format that can be used by other audio processing nodes in the workflow. The node automatically detects the sample rate and prepares the audio data for further manipulation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO_RECORD | Yes | N/A | The audio recording input from the audio recording interface | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | The audio recording input from the audio recording interface | AUDIO_RECORD | Yes | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `AUDIO` | AUDIO | The processed audio data containing waveform and sample rate information | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `AUDIO` | The processed audio data containing waveform and sample rate information | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecordAudio/en.md) --- **Source fingerprint (SHA-256):** `ca4dde492ecc4f57fcf87b022162692e3123ee90cce51186433ff8f14f606b70` diff --git a/built-in-nodes/RecraftColorRGB.mdx b/built-in-nodes/RecraftColorRGB.mdx index ff84b1156..c3bf71c19 100644 --- a/built-in-nodes/RecraftColorRGB.mdx +++ b/built-in-nodes/RecraftColorRGB.mdx @@ -5,24 +5,24 @@ sidebarTitle: "RecraftColorRGB" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftColorRGB/en.md) - Create a Recraft color by specifying individual red, green, and blue values. This node takes RGB integer values (0-255) and converts them into a Recraft color format that can be used in other Recraft operations. You can also optionally provide an existing Recraft color chain to extend it with the new color. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `r` | INT | Yes | 0-255 | Red value of color (default: 0) | -| `g` | INT | Yes | 0-255 | Green value of color (default: 0) | -| `b` | INT | Yes | 0-255 | Blue value of color (default: 0) | -| `recraft_color` | COLOR | No | - | Optional existing Recraft color chain to extend with the new RGB color | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `r` | Red value of color (default: 0) | INT | Yes | 0-255 | +| `g` | Green value of color (default: 0) | INT | Yes | 0-255 | +| `b` | Blue value of color (default: 0) | INT | Yes | 0-255 | +| `recraft_color` | Optional existing Recraft color chain to extend with the new RGB color | COLOR | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `recraft_color` | COLOR | The created Recraft color object containing the specified RGB values, or the extended color chain if an existing one was provided | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `recraft_color` | The created Recraft color object containing the specified RGB values, or the extended color chain if an existing one was provided | COLOR | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftColorRGB/en.md) --- **Source fingerprint (SHA-256):** `3c645f17232a1c646b6b64dab658a48dc4aa4c10c2daee9451977f824c3bf2c2` diff --git a/built-in-nodes/RecraftControls.mdx b/built-in-nodes/RecraftControls.mdx index 65589ba5d..c047d48ff 100644 --- a/built-in-nodes/RecraftControls.mdx +++ b/built-in-nodes/RecraftControls.mdx @@ -5,22 +5,22 @@ sidebarTitle: "RecraftControls" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftControls/en.md) - Creates Recraft Controls for customizing Recraft generation. This node allows you to configure color settings that will be used during the Recraft image generation process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `colors` | COLOR | No | - | Color settings for the main elements | -| `background_color` | COLOR | No | - | Background color setting | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `colors` | Color settings for the main elements | COLOR | No | - | +| `background_color` | Background color setting | COLOR | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `recraft_controls` | CONTROLS | The configured Recraft controls containing color settings | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `recraft_controls` | The configured Recraft controls containing color settings | CONTROLS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftControls/en.md) --- **Source fingerprint (SHA-256):** `3d07c8ca226e19849ebe5d37d93f129c77930a6971e58fe73abc2a47a58ee42e` diff --git a/built-in-nodes/RecraftCreateStyleNode.mdx b/built-in-nodes/RecraftCreateStyleNode.mdx index f81bf8b7f..fd28926cf 100644 --- a/built-in-nodes/RecraftCreateStyleNode.mdx +++ b/built-in-nodes/RecraftCreateStyleNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "RecraftCreateStyleNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md) - This node creates a custom style for image generation by uploading reference images. You can upload between 1 and 5 images to define the new style, and the node will return a unique style ID that can be used with other Recraft nodes. The total combined file size of all uploaded images must not exceed 5 MB. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `style` | STRING | Yes | `"realistic_image"`
`"digital_illustration"` | The base style of the generated images. | -| `images` | IMAGE | Yes | 1 to 5 images | A set of 1 to 5 reference images used to create the custom style. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `style` | The base style of the generated images. | STRING | Yes | `"realistic_image"`
`"digital_illustration"` | +| `images` | A set of 1 to 5 reference images used to create the custom style. | IMAGE | Yes | 1 to 5 images | **Note:** The total file size of all images in the `images` input must be less than 5 MB. The node will fail if this limit is exceeded. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `style_id` | STRING | The unique identifier for the newly created custom style. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `style_id` | The unique identifier for the newly created custom style. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md) --- **Source fingerprint (SHA-256):** `9f6d6f87621b72fcbf19200e7b2461c9a22160311c77411e9ddd06ee2053dc63` diff --git a/built-in-nodes/RecraftCreativeUpscaleNode.mdx b/built-in-nodes/RecraftCreativeUpscaleNode.mdx index 64dbf92ed..96e4cbe6c 100644 --- a/built-in-nodes/RecraftCreativeUpscaleNode.mdx +++ b/built-in-nodes/RecraftCreativeUpscaleNode.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RecraftCreativeUpscaleNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md) - The Recraft Creative Upscale Image node enhances a raster image by increasing its resolution. It uses a "creative upscale" process that focuses on improving small details and faces within the image. This operation is performed synchronously through an external API. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | | The input image to be upscaled. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be upscaled. | IMAGE | Yes | | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The resulting upscaled image with enhanced details. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The resulting upscaled image with enhanced details. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md) --- **Source fingerprint (SHA-256):** `1dc5cd9d6f0c5a269d20ad94e417d31abc20c4ef8dd673f926ab4aceb2b6d924` diff --git a/built-in-nodes/RecraftCrispUpscaleNode.mdx b/built-in-nodes/RecraftCrispUpscaleNode.mdx index aae298c1c..a044863f5 100644 --- a/built-in-nodes/RecraftCrispUpscaleNode.mdx +++ b/built-in-nodes/RecraftCrispUpscaleNode.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RecraftCrispUpscaleNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md) - Upscale image synchronously. Enhances a given raster image using the 'crisp upscale' tool, increasing image resolution, making the image sharper and cleaner. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be upscaled. Accepts a batch of images. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be upscaled. Accepts a batch of images. | IMAGE | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The upscaled image with enhanced resolution and clarity. Returns a batch of images if a batch was provided as input. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The upscaled image with enhanced resolution and clarity. Returns a batch of images if a batch was provided as input. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md) --- **Source fingerprint (SHA-256):** `4683d62ca72ce624ad96b41e4abbbcf3df8c8e11f473f1729a675fba78a9ccc0` diff --git a/built-in-nodes/RecraftImageInpaintingNode.mdx b/built-in-nodes/RecraftImageInpaintingNode.mdx index d89ff041a..2f6bed322 100644 --- a/built-in-nodes/RecraftImageInpaintingNode.mdx +++ b/built-in-nodes/RecraftImageInpaintingNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "RecraftImageInpaintingNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md) - This node modifies specific areas of an image based on a text prompt and a mask. It uses the Recraft API to intelligently edit only the masked regions while keeping the rest of the image unchanged. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be modified | -| `mask` | MASK | Yes | - | The mask defining which areas of the image should be modified | -| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string, maximum length: 1000 characters) | -| `n` | INT | Yes | 1-6 | The number of images to generate (default: 1, minimum: 1, maximum: 6) | -| `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | -| `recraft_style` | STYLEV3 | No | - | Optional style parameter for the Recraft API. If not provided, defaults to "realistic_image" style | -| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: empty string) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be modified | IMAGE | Yes | - | +| `mask` | The mask defining which areas of the image should be modified | MASK | Yes | - | +| `prompt` | Prompt for the image generation (default: empty string, maximum length: 1000 characters) | STRING | Yes | - | +| `n` | The number of images to generate (default: 1, minimum: 1, maximum: 6) | INT | Yes | 1-6 | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | INT | Yes | 0-18446744073709551615 | +| `recraft_style` | Optional style parameter for the Recraft API. If not provided, defaults to "realistic_image" style | STYLEV3 | No | - | +| `negative_prompt` | An optional text description of undesired elements on an image (default: empty string) | STRING | No | - | *Note: The `image` and `mask` must be provided together for the inpainting operation to work. The mask will be automatically resized to match the image dimensions. The `prompt` is validated and has a maximum length of 1000 characters. If a `style_id` from the Infinite Style Library is used, ensure it is not a Vector art style, as this may cause the API to return SVG data instead of an image.* ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The modified image(s) generated based on the prompt and mask. Returns one image per input image multiplied by the `n` parameter | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The modified image(s) generated based on the prompt and mask. Returns one image per input image multiplied by the `n` parameter | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md) --- **Source fingerprint (SHA-256):** `c0871ae6510d42f5525701dd622f2f84a65103a7eec053635c4bd64102a2a4e6` diff --git a/built-in-nodes/RecraftImageToImageNode.mdx b/built-in-nodes/RecraftImageToImageNode.mdx index 1638d3247..38482a8b9 100644 --- a/built-in-nodes/RecraftImageToImageNode.mdx +++ b/built-in-nodes/RecraftImageToImageNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "RecraftImageToImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md) - This node modifies an existing image based on a text prompt and strength parameter. It uses the Recraft API to transform the input image according to the provided description while maintaining some similarity to the original image based on the strength setting. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be modified | -| `prompt` | STRING | Yes | - | Prompt for the image generation (default: "", max length: 1000 characters) | -| `n` | INT | Yes | 1-6 | The number of images to generate (default: 1) | -| `strength` | FLOAT | Yes | 0.0-1.0 | Defines the difference with the original image, should lie in [0, 1], where 0 means almost identical, and 1 means miserable similarity (default: 0.5) | -| `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | -| `recraft_style` | STYLEV3 | No | - | Optional style selection for the image generation. If not provided, defaults to `realistic_image` | -| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: "") | -| `recraft_controls` | CONTROLS | No | - | Optional additional controls over the generation via the Recraft Controls node | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be modified | IMAGE | Yes | - | +| `prompt` | Prompt for the image generation (default: "", max length: 1000 characters) | STRING | Yes | - | +| `n` | The number of images to generate (default: 1) | INT | Yes | 1-6 | +| `strength` | Defines the difference with the original image, should lie in [0, 1], where 0 means almost identical, and 1 means miserable similarity (default: 0.5) | FLOAT | Yes | 0.0-1.0 | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | INT | Yes | 0-18446744073709551615 | +| `recraft_style` | Optional style selection for the image generation. If not provided, defaults to `realistic_image` | STYLEV3 | No | - | +| `negative_prompt` | An optional text description of undesired elements on an image (default: "") | STRING | No | - | +| `recraft_controls` | Optional additional controls over the generation via the Recraft Controls node | CONTROLS | No | - | **Note:** The `seed` parameter only triggers re-execution of the node but does not guarantee deterministic results. The strength parameter is rounded to 2 decimal places internally. The prompt is validated and must not exceed 1000 characters. If `recraft_style` is not provided, the node defaults to the `realistic_image` style. If you use a `style_id` from the Infinite Style Library, ensure it is not a Vector art style, as this may cause the node to receive SVG data instead of an image, resulting in an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The generated image(s) based on the input image and prompt | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The generated image(s) based on the input image and prompt | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md) --- **Source fingerprint (SHA-256):** `15f0f42a1c217abcffeff3836ec77d8a94b37143fdff45d69e1a645f5ffac939` diff --git a/built-in-nodes/RecraftRemoveBackgroundNode.mdx b/built-in-nodes/RecraftRemoveBackgroundNode.mdx index f74e10fdb..f526f63b9 100644 --- a/built-in-nodes/RecraftRemoveBackgroundNode.mdx +++ b/built-in-nodes/RecraftRemoveBackgroundNode.mdx @@ -5,22 +5,22 @@ sidebarTitle: "RecraftRemoveBackgroundNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md) - This node removes the background from images using the Recraft API service. It processes each image in the input batch and returns both the processed images with transparent backgrounds and corresponding alpha masks that indicate the removed background areas. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image(s) to process for background removal | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image(s) to process for background removal | IMAGE | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | Processed images with transparent backgrounds | -| `mask` | MASK | Alpha channel masks indicating the removed background areas | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | Processed images with transparent backgrounds | IMAGE | +| `mask` | Alpha channel masks indicating the removed background areas | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md) --- **Source fingerprint (SHA-256):** `8bced9bb96c179101a2122fb5990cb3015313ad6ca888adf7a37b082b2e8a656` diff --git a/built-in-nodes/RecraftReplaceBackgroundNode.mdx b/built-in-nodes/RecraftReplaceBackgroundNode.mdx index 9e7c68ab8..32fed5008 100644 --- a/built-in-nodes/RecraftReplaceBackgroundNode.mdx +++ b/built-in-nodes/RecraftReplaceBackgroundNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "RecraftReplaceBackgroundNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md) - Replace background on image, based on provided prompt. This node uses the Recraft API to generate new backgrounds for your images according to your text description, allowing you to completely transform the background while keeping the main subject intact. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to process | -| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty) | -| `n` | INT | Yes | 1-6 | The number of images to generate (default: 1) | -| `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | -| `recraft_style` | STYLEV3 | No | - | Optional style selection for the generated background. If not provided, defaults to "realistic_image" style | -| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: empty) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to process | IMAGE | Yes | - | +| `prompt` | Prompt for the image generation (default: empty) | STRING | Yes | - | +| `n` | The number of images to generate (default: 1) | INT | Yes | 1-6 | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | INT | Yes | 0-18446744073709551615 | +| `recraft_style` | Optional style selection for the generated background. If not provided, defaults to "realistic_image" style | STYLEV3 | No | - | +| `negative_prompt` | An optional text description of undesired elements on an image (default: empty) | STRING | No | - | **Note:** The `seed` parameter controls when the node re-executes but does not guarantee deterministic results due to the nature of the external API. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The generated image(s) with replaced background | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The generated image(s) with replaced background | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md) --- **Source fingerprint (SHA-256):** `ce14005093aaac30de3de84c43bd46c0a3327d0ba8de4ea7ec62afa2028c1cae` diff --git a/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx b/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx index 592e0db2d..d77243a95 100644 --- a/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx +++ b/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RecraftStyleV3DigitalIllustration" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/en.md) - This node configures a style for use with the Recraft API, specifically selecting the "digital_illustration" style. It allows you to choose an optional substyle to further refine the artistic direction of the generated image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `substyle` | STRING | No | `"digital_illustration"`
`"digital_illustration_anime"`
`"digital_illustration_cartoon"`
`"digital_illustration_comic"`
`"digital_illustration_concept_art"`
`"digital_illustration_fantasy"`
`"digital_illustration_futuristic"`
`"digital_illustration_graffiti"`
`"digital_illustration_graphic_novel"`
`"digital_illustration_hyperrealistic"`
`"digital_illustration_ink"`
`"digital_illustration_manga"`
`"digital_illustration_minimalist"`
`"digital_illustration_pixel_art"`
`"digital_illustration_pop_art"`
`"digital_illustration_retro"`
`"digital_illustration_sci_fi"`
`"digital_illustration_sticker"`
`"digital_illustration_street_art"`
`"digital_illustration_surreal"`
`"digital_illustration_vector"` | An optional substyle to specify a particular type of digital illustration. If not selected, the base "digital_illustration" style is used. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `substyle` | An optional substyle to specify a particular type of digital illustration. If not selected, the base "digital_illustration" style is used. | STRING | No | `"digital_illustration"`
`"digital_illustration_anime"`
`"digital_illustration_cartoon"`
`"digital_illustration_comic"`
`"digital_illustration_concept_art"`
`"digital_illustration_fantasy"`
`"digital_illustration_futuristic"`
`"digital_illustration_graffiti"`
`"digital_illustration_graphic_novel"`
`"digital_illustration_hyperrealistic"`
`"digital_illustration_ink"`
`"digital_illustration_manga"`
`"digital_illustration_minimalist"`
`"digital_illustration_pixel_art"`
`"digital_illustration_pop_art"`
`"digital_illustration_retro"`
`"digital_illustration_sci_fi"`
`"digital_illustration_sticker"`
`"digital_illustration_street_art"`
`"digital_illustration_surreal"`
`"digital_illustration_vector"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | A configured style object containing the selected "digital_illustration" style and optional substyle, ready to be passed to other Recraft API nodes. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `recraft_style` | A configured style object containing the selected "digital_illustration" style and optional substyle, ready to be passed to other Recraft API nodes. | STYLEV3 | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/en.md) --- **Source fingerprint (SHA-256):** `167b5f875e1d9ec39dd830d98349fe34b23a3ac870cff8329bc834fe13a5fc8f` diff --git a/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx b/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx index 07d1ee791..b7e1879bb 100644 --- a/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx +++ b/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx @@ -5,23 +5,23 @@ sidebarTitle: "RecraftStyleV3InfiniteStyleLibrary" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md) - This node allows you to select a style from Recraft's Infinite Style Library using a preexisting UUID. It retrieves the style information based on the provided style identifier and returns it for use in other Recraft nodes. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `style_id` | STRING | Yes | Any valid UUID | UUID of style from Infinite Style Library. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `style_id` | UUID of style from Infinite Style Library. | STRING | Yes | Any valid UUID | **Note:** The `style_id` input cannot be empty. If an empty string is provided, the node will raise an exception. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | The selected style object from Recraft's Infinite Style Library | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `recraft_style` | The selected style object from Recraft's Infinite Style Library | STYLEV3 | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md) --- **Source fingerprint (SHA-256):** `c613e153fa56f403367f132a2592b853327a28cc640faab061dfe373b0202e21` diff --git a/built-in-nodes/RecraftStyleV3LogoRaster.mdx b/built-in-nodes/RecraftStyleV3LogoRaster.mdx index 4f498f072..7dd23f256 100644 --- a/built-in-nodes/RecraftStyleV3LogoRaster.mdx +++ b/built-in-nodes/RecraftStyleV3LogoRaster.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RecraftStyleV3LogoRaster" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md) - This node selects the logo raster style and an optional substyle for generating logo images. It specializes in creating logo designs with raster-based visual treatments. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `substyle` | STRING | Yes | `"none"`
`"bold"`
`"minimal"`
`"vibrant"`
`"handdrawn"`
`"geometric"`
`"vintage"`
`"neon"`
`"gradient"`
`"flat"`
`"outline"`
`"mascot"`
`"badge"`
`"abstract"`
`"retro"`
`"modern"`
`"playful"`
`"luxury"`
`"tech"`
`"nature"`
`"food"`
`"sport"`
`"fashion"`
`"music"`
`"travel"`
`"education"`
`"health"`
`"finance"`
`"realestate"`
`"nonprofit"` | The specific logo raster substyle to apply for logo generation (default: `"none"`) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `substyle` | The specific logo raster substyle to apply for logo generation (default: `"none"`) | STRING | Yes | `"none"`
`"bold"`
`"minimal"`
`"vibrant"`
`"handdrawn"`
`"geometric"`
`"vintage"`
`"neon"`
`"gradient"`
`"flat"`
`"outline"`
`"mascot"`
`"badge"`
`"abstract"`
`"retro"`
`"modern"`
`"playful"`
`"luxury"`
`"tech"`
`"nature"`
`"food"`
`"sport"`
`"fashion"`
`"music"`
`"travel"`
`"education"`
`"health"`
`"finance"`
`"realestate"`
`"nonprofit"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `recraft_style` | CUSTOM | The selected Recraft style configuration, including the logo raster style and chosen substyle | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `recraft_style` | The selected Recraft style configuration, including the logo raster style and chosen substyle | CUSTOM | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md) --- **Source fingerprint (SHA-256):** `a9912e3a9f634cf3e4402cc71e934a636a448ecbfa7664f5167289d4526e4d4f` diff --git a/built-in-nodes/RecraftStyleV3RealisticImage.mdx b/built-in-nodes/RecraftStyleV3RealisticImage.mdx index cc020d40c..34710ef4f 100644 --- a/built-in-nodes/RecraftStyleV3RealisticImage.mdx +++ b/built-in-nodes/RecraftStyleV3RealisticImage.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RecraftStyleV3RealisticImage" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md) - This node creates a style configuration for generating realistic images using Recraft's API. It selects the `realistic_image` style and lets you choose an optional substyle to fine-tune the output appearance. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `substyle` | STRING | Yes | Multiple options available (determined by Recraft API) | The specific substyle to apply to the realistic_image style. If set to "None", no substyle will be applied. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `substyle` | The specific substyle to apply to the realistic_image style. If set to "None", no substyle will be applied. | STRING | Yes | Multiple options available (determined by Recraft API) | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | A Recraft style configuration object containing the `realistic_image` style and the selected substyle settings. This output can be connected to other Recraft nodes that accept a style input. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `recraft_style` | A Recraft style configuration object containing the `realistic_image` style and the selected substyle settings. This output can be connected to other Recraft nodes that accept a style input. | STYLEV3 | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md) --- **Source fingerprint (SHA-256):** `967e52e32456299da342a3d87f46f180f17aa1505cb2a3d22ee5f50cda79e8e3` diff --git a/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx b/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx index a2a34838e..a2b0700fb 100644 --- a/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx +++ b/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RecraftStyleV3VectorIllustrationNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md) - This node configures a style for use with the Recraft API, specifically selecting the `vector_illustration` style. It allows you to optionally choose a more specific substyle within that category. The node outputs a style configuration object that can be passed to other Recraft API nodes. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `substyle` | STRING | No | `"vector_illustration"`
`"vector_illustration_flat"`
`"vector_illustration_3d"`
`"vector_illustration_hand_drawn"`
`"vector_illustration_retro"`
`"vector_illustration_modern"`
`"vector_illustration_abstract"`
`"vector_illustration_geometric"`
`"vector_illustration_organic"`
`"vector_illustration_minimalist"`
`"vector_illustration_detailed"`
`"vector_illustration_colorful"`
`"vector_illustration_monochrome"`
`"vector_illustration_grayscale"`
`"vector_illustration_pastel"`
`"vector_illustration_vibrant"`
`"vector_illustration_muted"`
`"vector_illustration_warm"`
`"vector_illustration_cool"`
`"vector_illustration_neutral"`
`"vector_illustration_bold"`
`"vector_illustration_subtle"`
`"vector_illustration_playful"`
`"vector_illustration_serious"`
`"vector_illustration_elegant"`
`"vector_illustration_rustic"`
`"vector_illustration_urban"`
`"vector_illustration_nature"`
`"vector_illustration_fantasy"`
`"vector_illustration_sci_fi"`
`"vector_illustration_historical"`
`"vector_illustration_futuristic"`
`"vector_illustration_whimsical"`
`"vector_illustration_surreal"`
`"vector_illustration_realistic"`
`"vector_illustration_stylized"`
`"vector_illustration_cartoony"`
`"vector_illustration_anime"`
`"vector_illustration_comic"`
`"vector_illustration_pixel"`
`"vector_illustration_low_poly"`
`"vector_illustration_high_poly"`
`"vector_illustration_isometric"`
`"vector_illustration_orthographic"`
`"vector_illustration_perspective"`
`"vector_illustration_2d"`
`"vector_illustration_2.5d"`
`"vector_illustration_3d"`
`"vector_illustration_4d"` | An optional, more specific style within the `vector_illustration` category. If not selected, the base `vector_illustration` style is used. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `substyle` | An optional, more specific style within the `vector_illustration` category. If not selected, the base `vector_illustration` style is used. | STRING | No | `"vector_illustration"`
`"vector_illustration_flat"`
`"vector_illustration_3d"`
`"vector_illustration_hand_drawn"`
`"vector_illustration_retro"`
`"vector_illustration_modern"`
`"vector_illustration_abstract"`
`"vector_illustration_geometric"`
`"vector_illustration_organic"`
`"vector_illustration_minimalist"`
`"vector_illustration_detailed"`
`"vector_illustration_colorful"`
`"vector_illustration_monochrome"`
`"vector_illustration_grayscale"`
`"vector_illustration_pastel"`
`"vector_illustration_vibrant"`
`"vector_illustration_muted"`
`"vector_illustration_warm"`
`"vector_illustration_cool"`
`"vector_illustration_neutral"`
`"vector_illustration_bold"`
`"vector_illustration_subtle"`
`"vector_illustration_playful"`
`"vector_illustration_serious"`
`"vector_illustration_elegant"`
`"vector_illustration_rustic"`
`"vector_illustration_urban"`
`"vector_illustration_nature"`
`"vector_illustration_fantasy"`
`"vector_illustration_sci_fi"`
`"vector_illustration_historical"`
`"vector_illustration_futuristic"`
`"vector_illustration_whimsical"`
`"vector_illustration_surreal"`
`"vector_illustration_realistic"`
`"vector_illustration_stylized"`
`"vector_illustration_cartoony"`
`"vector_illustration_anime"`
`"vector_illustration_comic"`
`"vector_illustration_pixel"`
`"vector_illustration_low_poly"`
`"vector_illustration_high_poly"`
`"vector_illustration_isometric"`
`"vector_illustration_orthographic"`
`"vector_illustration_perspective"`
`"vector_illustration_2d"`
`"vector_illustration_2.5d"`
`"vector_illustration_3d"`
`"vector_illustration_4d"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | A Recraft API style configuration object containing the selected `vector_illustration` style and optional substyle. This can be connected to other Recraft nodes. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `recraft_style` | A Recraft API style configuration object containing the selected `vector_illustration` style and optional substyle. This can be connected to other Recraft nodes. | STYLEV3 | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md) --- **Source fingerprint (SHA-256):** `c57ffa5504fff8430f8193f97d4d991b9373e688a4b412ff4926ef356aef0dc9` diff --git a/built-in-nodes/RecraftTextToImageNode.mdx b/built-in-nodes/RecraftTextToImageNode.mdx index a37d36ccb..bd87eb7c2 100644 --- a/built-in-nodes/RecraftTextToImageNode.mdx +++ b/built-in-nodes/RecraftTextToImageNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "RecraftTextToImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md) - Generates images synchronously based on prompt and resolution. This node connects to the Recraft API to create images from text descriptions with specified dimensions and optional style and control parameters. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Prompt for the image generation. (default: "") | -| `size` | COMBO | Yes | "1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | The size of the generated image. (default: "1024x1024") | -| `n` | INT | Yes | 1-6 | The number of images to generate. (default: 1) | -| `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) | -| `recraft_style` | RECRAFT_STYLE | No | Multiple options available | Optional style selection for image generation. When not provided, defaults to "realistic_image" style. | -| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image. (default: "") | -| `recraft_controls` | RECRAFT_CONTROLS | No | Multiple options available | Optional additional controls over the generation via the Recraft Controls node. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the image generation. (default: "") | STRING | Yes | - | +| `size` | The size of the generated image. (default: "1024x1024") | COMBO | Yes | "1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | +| `n` | The number of images to generate. (default: 1) | INT | Yes | 1-6 | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) | INT | Yes | 0-18446744073709551615 | +| `recraft_style` | Optional style selection for image generation. When not provided, defaults to "realistic_image" style. | RECRAFT_STYLE | No | Multiple options available | +| `negative_prompt` | An optional text description of undesired elements on an image. (default: "") | STRING | No | - | +| `recraft_controls` | Optional additional controls over the generation via the Recraft Controls node. | RECRAFT_CONTROLS | No | Multiple options available | **Note:** The `seed` parameter only controls when the node re-runs but does not make the image generation deterministic. The actual output images will vary even with the same seed value. @@ -29,9 +27,11 @@ Generates images synchronously based on prompt and resolution. This node connect ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The generated image(s) as a batched tensor output. When multiple images are generated (n > 1), they are concatenated along the batch dimension. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The generated image(s) as a batched tensor output. When multiple images are generated (n > 1), they are concatenated along the batch dimension. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md) --- **Source fingerprint (SHA-256):** `946010fbb6a5b99eed11e74de0733f64a270fa62910acf942749c76e0b5448f3` diff --git a/built-in-nodes/RecraftTextToVectorNode.mdx b/built-in-nodes/RecraftTextToVectorNode.mdx index 257457ef9..f463c36a9 100644 --- a/built-in-nodes/RecraftTextToVectorNode.mdx +++ b/built-in-nodes/RecraftTextToVectorNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "RecraftTextToVectorNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md) - Generates SVG vector illustrations synchronously based on a text prompt and resolution. This node sends your prompt to the Recraft API and returns the generated SVG content. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Prompt for the image generation. (default: "") | -| `substyle` | COMBO | Yes | `"2d_character"`
`"2d_gradient"`
`"2d_illustration"`
`"2d_flat_character"`
`"2d_flat_illustration"`
`"2d_art"`
`"2d_art_character"`
`"2d_pattern"`
`"2d_pixel_art"`
`"2d_cyberpunk"`
`"2d_engraving"`
`"2d_black_and_white"`
`"2d_ink"`
`"2d_sketch"`
`"2d_watercolor"`
`"2d_animation"`
`"2d_comic"`
`"2d_children_illustration"`
`"2d_vintage"`
`"2d_retro"`
`"2d_hand_drawn"`
`"2d_psychedelic"`
`"2d_graffiti"`
`"2d_ukiyo_e"`
`"2d_woodcut"`
`"2d_art_deco"`
`"2d_art_nouveau"`
`"2d_bauhaus"`
`"2d_constructivism"`
`"2d_cubism"`
`"2d_futurism"`
`"2d_glitch"`
`"2d_impressionism"`
`"2d_naive"`
`"2d_pointillism"`
`"2d_pop_art"`
`"2d_realism"`
`"2d_renaissance"`
`"2d_rococo"`
`"2d_romanticism"`
`"2d_surrealism"`
`"2d_suprematism"`
`"2d_symbolism"`
`"2d_expressionism"`
`"2d_abstract"`
`"2d_minimalism"`
`"2d_contemporary"`
`"2d_modern"`
`"2d_brutalism"`
`"2d_metaphysical"`
`"2d_mannerism"`
`"2d_baroque"`
`"2d_neoclassicism"`
`"2d_orientalism"`
`"2d_primitivism"`
`"2d_fauvism"`
`"2d_rayonism"`
`"2d_orphism"`
`"2d_vorticism"`
`"2d_dadaism"`
`"2d_neo_expressionism"`
`"2d_transavantgarde"`
`"2d_new_wild"`
`"2d_graffiti_classic"`
`"2d_graffiti_modern"`
`"2d_graffiti_wildstyle"`
`"2d_graffiti_bubble"`
`"2d_graffiti_throwup"`
`"2d_graffiti_tag"`
`"2d_graffiti_blockbuster"`
`"2d_graffiti_mural"`
`"2d_graffiti_stencil"`
`"2d_graffiti_3d"`
`"2d_graffiti_character"`
`"2d_graffiti_abstract"`
`"2d_graffiti_urban"`
`"2d_graffiti_neo_muralism"`
`"2d_graffiti_post_graffiti"`
`"2d_graffiti_street_art"` | The specific vector illustration style to use for generation. | -| `size` | COMBO | Yes | `"1024x1024"`
`"1024x2048"`
`"2048x1024"`
`"2048x2048"`
`"512x512"`
`"512x1024"`
`"1024x512"`
`"2048x512"`
`"512x2048"` | The size of the generated image. (default: "1024x1024") | -| `n` | INT | Yes | 1-6 | The number of images to generate. (default: 1, min: 1, max: 6) | -| `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0, min: 0, max: 18446744073709551615) | -| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image. (default: "") | -| `recraft_controls` | CONTROLS | No | - | Optional additional controls over the generation via the Recraft Controls node. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the image generation. (default: "") | STRING | Yes | - | +| `substyle` | The specific vector illustration style to use for generation. | COMBO | Yes | `"2d_character"`
`"2d_gradient"`
`"2d_illustration"`
`"2d_flat_character"`
`"2d_flat_illustration"`
`"2d_art"`
`"2d_art_character"`
`"2d_pattern"`
`"2d_pixel_art"`
`"2d_cyberpunk"`
`"2d_engraving"`
`"2d_black_and_white"`
`"2d_ink"`
`"2d_sketch"`
`"2d_watercolor"`
`"2d_animation"`
`"2d_comic"`
`"2d_children_illustration"`
`"2d_vintage"`
`"2d_retro"`
`"2d_hand_drawn"`
`"2d_psychedelic"`
`"2d_graffiti"`
`"2d_ukiyo_e"`
`"2d_woodcut"`
`"2d_art_deco"`
`"2d_art_nouveau"`
`"2d_bauhaus"`
`"2d_constructivism"`
`"2d_cubism"`
`"2d_futurism"`
`"2d_glitch"`
`"2d_impressionism"`
`"2d_naive"`
`"2d_pointillism"`
`"2d_pop_art"`
`"2d_realism"`
`"2d_renaissance"`
`"2d_rococo"`
`"2d_romanticism"`
`"2d_surrealism"`
`"2d_suprematism"`
`"2d_symbolism"`
`"2d_expressionism"`
`"2d_abstract"`
`"2d_minimalism"`
`"2d_contemporary"`
`"2d_modern"`
`"2d_brutalism"`
`"2d_metaphysical"`
`"2d_mannerism"`
`"2d_baroque"`
`"2d_neoclassicism"`
`"2d_orientalism"`
`"2d_primitivism"`
`"2d_fauvism"`
`"2d_rayonism"`
`"2d_orphism"`
`"2d_vorticism"`
`"2d_dadaism"`
`"2d_neo_expressionism"`
`"2d_transavantgarde"`
`"2d_new_wild"`
`"2d_graffiti_classic"`
`"2d_graffiti_modern"`
`"2d_graffiti_wildstyle"`
`"2d_graffiti_bubble"`
`"2d_graffiti_throwup"`
`"2d_graffiti_tag"`
`"2d_graffiti_blockbuster"`
`"2d_graffiti_mural"`
`"2d_graffiti_stencil"`
`"2d_graffiti_3d"`
`"2d_graffiti_character"`
`"2d_graffiti_abstract"`
`"2d_graffiti_urban"`
`"2d_graffiti_neo_muralism"`
`"2d_graffiti_post_graffiti"`
`"2d_graffiti_street_art"` | +| `size` | The size of the generated image. (default: "1024x1024") | COMBO | Yes | `"1024x1024"`
`"1024x2048"`
`"2048x1024"`
`"2048x2048"`
`"512x512"`
`"512x1024"`
`"1024x512"`
`"2048x512"`
`"512x2048"` | +| `n` | The number of images to generate. (default: 1, min: 1, max: 6) | INT | Yes | 1-6 | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0, min: 0, max: 18446744073709551615) | INT | Yes | 0-18446744073709551615 | +| `negative_prompt` | An optional text description of undesired elements on an image. (default: "") | STRING | No | - | +| `recraft_controls` | Optional additional controls over the generation via the Recraft Controls node. | CONTROLS | No | - | **Note:** The `seed` parameter only controls when the node re-runs but does not make the generation results deterministic. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `SVG` | SVG | The generated vector illustration in SVG format | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `SVG` | The generated vector illustration in SVG format | SVG | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md) --- **Source fingerprint (SHA-256):** `b7b89e929a6d8dba78c0078962c9dde5c803bcff51350b0fb21c0cbd4c725ffe` diff --git a/built-in-nodes/RecraftV4TextToImageNode.mdx b/built-in-nodes/RecraftV4TextToImageNode.mdx index 448a47a02..6712aa01f 100644 --- a/built-in-nodes/RecraftV4TextToImageNode.mdx +++ b/built-in-nodes/RecraftV4TextToImageNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "RecraftV4TextToImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md) - This node generates images from text descriptions using the Recraft V4 or V4 Pro AI models. It sends your prompt to an external API and returns the generated images. You can control the output by specifying the model, image size, and number of images to create. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Prompt for the image generation. Maximum 10,000 characters. | -| `negative_prompt` | STRING | No | N/A | An optional text description of undesired elements on an image. | -| `model` | COMBO | Yes | `"recraftv4"`
`"recraftv4_pro"` | The model to use for generation. Selecting a model determines the available image sizes. | -| `size` | COMBO | Yes | Varies by model | The size of the generated image. The available options depend on the selected model. For `recraftv4`, the default is "1024x1024". For `recraftv4_pro`, the default is "2048x2048". | -| `n` | INT | Yes | 1 to 6 | The number of images to generate (default: 1). | -| `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | -| `recraft_controls` | CUSTOM | No | N/A | Optional additional controls over the generation via the Recraft Controls node. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the image generation. Maximum 10,000 characters. | STRING | Yes | N/A | +| `negative_prompt` | An optional text description of undesired elements on an image. | STRING | No | N/A | +| `model` | The model to use for generation. Selecting a model determines the available image sizes. | COMBO | Yes | `"recraftv4"`
`"recraftv4_pro"` | +| `size` | The size of the generated image. The available options depend on the selected model. For `recraftv4`, the default is "1024x1024". For `recraftv4_pro`, the default is "2048x2048". | COMBO | Yes | Varies by model | +| `n` | The number of images to generate (default: 1). | INT | Yes | 1 to 6 | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | INT | Yes | 0 to 18446744073709551615 | +| `recraft_controls` | Optional additional controls over the generation via the Recraft Controls node. | CUSTOM | No | N/A | **Note:** The `size` parameter is a dynamic input whose available options change based on the selected `model`. The `seed` value does not guarantee reproducible image outputs. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The generated image or batch of images. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated image or batch of images. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md) --- **Source fingerprint (SHA-256):** `b116fc35810d9cd246742b3ee1e3ce5472e79a467981ffb994cd1e2c53f0f086` diff --git a/built-in-nodes/RecraftV4TextToVectorNode.mdx b/built-in-nodes/RecraftV4TextToVectorNode.mdx index f6afee99b..e30935338 100644 --- a/built-in-nodes/RecraftV4TextToVectorNode.mdx +++ b/built-in-nodes/RecraftV4TextToVectorNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "RecraftV4TextToVectorNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/en.md) - The Recraft V4 Text to Vector node generates Scalable Vector Graphics (SVG) illustrations from a text description. It connects to an external API to use either the Recraft V4 or Recraft V4 Pro model for image generation. The node outputs one or more SVG images based on your prompt. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Prompt for the image generation. Maximum 10,000 characters. | -| `negative_prompt` | STRING | No | N/A | An optional text description of undesired elements on an image. | -| `model` | COMBO | Yes | `"recraftv4"`
`"recraftv4_pro"` | The model to use for generation. Selecting a model changes the available `size` options. | -| `size` | COMBO | Yes | For `recraftv4`: `"1024x1024"`, `"1152x896"`, `"896x1152"`, `"1216x832"`, `"832x1216"`, `"1344x768"`, `"768x1344"`, `"1536x640"`, `"640x1536"`
For `recraftv4_pro`: `"2048x2048"`, `"2304x1792"`, `"1792x2304"`, `"2432x1664"`, `"1664x2432"`, `"2688x1536"`, `"1536x2688"`, `"3072x1280"`, `"1280x3072"` | The size of the generated image. The available options depend on the selected `model`. Default is `"1024x1024"` for `recraftv4` and `"2048x2048"` for `recraftv4_pro`. | -| `n` | INT | Yes | 1 to 6 | The number of images to generate (default: 1). | -| `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. | -| `recraft_controls` | CUSTOM | No | N/A | Optional additional controls over the generation via the Recraft Controls node. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Prompt for the image generation. Maximum 10,000 characters. | STRING | Yes | N/A | +| `negative_prompt` | An optional text description of undesired elements on an image. | STRING | No | N/A | +| `model` | The model to use for generation. Selecting a model changes the available `size` options. | COMBO | Yes | `"recraftv4"`
`"recraftv4_pro"` | +| `size` | The size of the generated image. The available options depend on the selected `model`. Default is `"1024x1024"` for `recraftv4` and `"2048x2048"` for `recraftv4_pro`. | COMBO | Yes | For `recraftv4`: `"1024x1024"`, `"1152x896"`, `"896x1152"`, `"1216x832"`, `"832x1216"`, `"1344x768"`, `"768x1344"`, `"1536x640"`, `"640x1536"`
For `recraftv4_pro`: `"2048x2048"`, `"2304x1792"`, `"1792x2304"`, `"2432x1664"`, `"1664x2432"`, `"2688x1536"`, `"1536x2688"`, `"3072x1280"`, `"1280x3072"` | +| `n` | The number of images to generate (default: 1). | INT | Yes | 1 to 6 | +| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. | INT | Yes | 0 to 18446744073709551615 | +| `recraft_controls` | Optional additional controls over the generation via the Recraft Controls node. | CUSTOM | No | N/A | **Note:** The `size` parameter is a dynamic input whose available options change based on the selected `model`. The `seed` value does not guarantee reproducible results from the external API. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | SVG | The generated Scalable Vector Graphics (SVG) image(s). | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated Scalable Vector Graphics (SVG) image(s). | SVG | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/en.md) --- **Source fingerprint (SHA-256):** `e2524f2607068f2115cf7a192cb9a4f77fbe4e2535108e3c7167923d599fd212` diff --git a/built-in-nodes/RecraftVectorizeImageNode.mdx b/built-in-nodes/RecraftVectorizeImageNode.mdx index 8e012f568..e1d6f56fc 100644 --- a/built-in-nodes/RecraftVectorizeImageNode.mdx +++ b/built-in-nodes/RecraftVectorizeImageNode.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RecraftVectorizeImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md) - Generates SVG vector graphics from an input image. This node converts raster images into scalable vector format by sending each image to the Recraft API and combining the results into a single SVG output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to convert to SVG format. Supports batch processing of multiple images. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to convert to SVG format. Supports batch processing of multiple images. | IMAGE | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `SVG` | SVG | The generated vector graphics output combining all processed images into a single SVG document. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `SVG` | The generated vector graphics output combining all processed images into a single SVG document. | SVG | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md) --- **Source fingerprint (SHA-256):** `de221f8156396cd3c95b30840e446811c2a5f8f09d66028cbc2dbe2a551fc4cd` diff --git a/built-in-nodes/ReferenceLatent.mdx b/built-in-nodes/ReferenceLatent.mdx index fbd0511b4..e3db13d05 100644 --- a/built-in-nodes/ReferenceLatent.mdx +++ b/built-in-nodes/ReferenceLatent.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ReferenceLatent" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceLatent/en.md) - This node sets the guiding latent for an edit model. It takes conditioning data and an optional latent input, then modifies the conditioning to include reference latent information. If the model supports it, you can chain multiple ReferenceLatent nodes to set multiple reference images. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | Yes | - | The conditioning data to be modified with reference latent information | -| `latent` | LATENT | No | - | Optional latent data to use as reference for the edit model | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `conditioning` | The conditioning data to be modified with reference latent information | CONDITIONING | Yes | - | +| `latent` | Optional latent data to use as reference for the edit model | LATENT | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | CONDITIONING | The modified conditioning data containing reference latent information | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The modified conditioning data containing reference latent information | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceLatent/en.md) --- **Source fingerprint (SHA-256):** `8465db01a0929ae27ac05419f93f0c206835924f1c0196b874fff9adb1834656` diff --git a/built-in-nodes/ReferenceTimbreAudio.mdx b/built-in-nodes/ReferenceTimbreAudio.mdx index 397a2ec7e..918dcce29 100644 --- a/built-in-nodes/ReferenceTimbreAudio.mdx +++ b/built-in-nodes/ReferenceTimbreAudio.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ReferenceTimbreAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceTimbreAudio/en.md) - This node sets a reference audio timbre for use in the "ace step 1.5" process. It works by taking a conditioning input and optionally a latent representation of audio, then attaches that latent data to the conditioning for use by subsequent nodes in the workflow. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | Yes | | The conditioning data to which the reference audio information will be attached. | -| `latent` | LATENT | No | | An optional latent representation of the reference audio. When provided, its samples are added to the conditioning. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `conditioning` | The conditioning data to which the reference audio information will be attached. | CONDITIONING | Yes | | +| `latent` | An optional latent representation of the reference audio. When provided, its samples are added to the conditioning. | LATENT | No | | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `conditioning` | CONDITIONING | The modified conditioning data, now containing the reference audio timbre latents if the optional `latent` input was provided. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `conditioning` | The modified conditioning data, now containing the reference audio timbre latents if the optional `latent` input was provided. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceTimbreAudio/en.md) --- **Source fingerprint (SHA-256):** `b4bd556add87f8da2cdb7d0d63da620b508de302ae1d674d2bcb7bc771e60a5d` diff --git a/built-in-nodes/RegexExtract.mdx b/built-in-nodes/RegexExtract.mdx index 571c6b32e..9b44cd803 100644 --- a/built-in-nodes/RegexExtract.mdx +++ b/built-in-nodes/RegexExtract.mdx @@ -5,29 +5,29 @@ sidebarTitle: "RegexExtract" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexExtract/en.md) - The RegexExtract node searches for patterns in text using regular expressions. It can find the first match, all matches, specific groups from matches, or all groups across multiple matches. The node supports various regex flags for case sensitivity, multiline matching, and dotall behavior. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | Yes | - | The input text to search for patterns | -| `regex_pattern` | STRING | Yes | - | The regular expression pattern to search for | -| `mode` | COMBO | Yes | "First Match"
"All Matches"
"First Group"
"All Groups" | The extraction mode determines what parts of matches are returned (default: "First Match") | -| `case_insensitive` | BOOLEAN | No | - | Whether to ignore case when matching (default: True) | -| `multiline` | BOOLEAN | No | - | Whether to treat the string as multiple lines (default: False) | -| `dotall` | BOOLEAN | No | - | Whether the dot (.) matches newlines (default: False) | -| `group_index` | INT | No | 0-100 | The capture group index to extract when using group modes (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `string` | The input text to search for patterns | STRING | Yes | - | +| `regex_pattern` | The regular expression pattern to search for | STRING | Yes | - | +| `mode` | The extraction mode determines what parts of matches are returned (default: "First Match") | COMBO | Yes | "First Match"
"All Matches"
"First Group"
"All Groups" | +| `case_insensitive` | Whether to ignore case when matching (default: True) | BOOLEAN | No | - | +| `multiline` | Whether to treat the string as multiple lines (default: False) | BOOLEAN | No | - | +| `dotall` | Whether the dot (.) matches newlines (default: False) | BOOLEAN | No | - | +| `group_index` | The capture group index to extract when using group modes (default: 1) | INT | No | 0-100 | **Note:** When using "First Group" or "All Groups" modes, the `group_index` parameter specifies which capture group to extract. Group 0 represents the entire match, while groups 1+ represent the numbered capture groups in your regex pattern. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The extracted text based on the selected mode and parameters | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The extracted text based on the selected mode and parameters | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexExtract/en.md) --- **Source fingerprint (SHA-256):** `a879e4fd7429edfada44b2f5778bb71e537a000be6c25d3f67359b9ee802812f` diff --git a/built-in-nodes/RegexMatch.mdx b/built-in-nodes/RegexMatch.mdx index fd9f02c3f..0f13e68a5 100644 --- a/built-in-nodes/RegexMatch.mdx +++ b/built-in-nodes/RegexMatch.mdx @@ -5,25 +5,25 @@ sidebarTitle: "RegexMatch" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexMatch/en.md) - The RegexMatch node checks if a text string contains a match for a given regular expression pattern. It searches the input string and returns a simple yes/no result indicating whether the pattern was found anywhere in the text. You can adjust how the search works by enabling options like case-insensitive matching or multiline mode. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | Yes | - | The text string to search for matches | -| `regex_pattern` | STRING | Yes | - | The regular expression pattern to match against the string | -| `case_insensitive` | BOOLEAN | No | - | Whether to ignore case when matching (default: True) | -| `multiline` | BOOLEAN | No | - | Whether to enable multiline mode for regex matching (default: False) | -| `dotall` | BOOLEAN | No | - | Whether to enable dotall mode for regex matching (default: False) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `string` | The text string to search for matches | STRING | Yes | - | +| `regex_pattern` | The regular expression pattern to match against the string | STRING | Yes | - | +| `case_insensitive` | Whether to ignore case when matching (default: True) | BOOLEAN | No | - | +| `multiline` | Whether to enable multiline mode for regex matching (default: False) | BOOLEAN | No | - | +| `dotall` | Whether to enable dotall mode for regex matching (default: False) | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `matches` | BOOLEAN | Returns True if the regex pattern matches any part of the input string, False otherwise | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `matches` | Returns True if the regex pattern matches any part of the input string, False otherwise | BOOLEAN | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexMatch/en.md) --- **Source fingerprint (SHA-256):** `4f0fa717bde7406e42d9a99599eab546690140166d2bb01bb4fde3c5d60e0397` diff --git a/built-in-nodes/RegexReplace.mdx b/built-in-nodes/RegexReplace.mdx index e204036ad..8d226bd29 100644 --- a/built-in-nodes/RegexReplace.mdx +++ b/built-in-nodes/RegexReplace.mdx @@ -5,27 +5,27 @@ sidebarTitle: "RegexReplace" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexReplace/en.md) - The RegexReplace node finds and replaces text in strings using regular expression patterns. It allows you to search for text patterns and replace them with new text, with options to control how the pattern matching works including case sensitivity, multiline matching, and limiting the number of replacements. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | Yes | - | The input text string to search and replace within | -| `regex_pattern` | STRING | Yes | - | The regular expression pattern to search for in the input string | -| `replace` | STRING | Yes | - | The replacement text to substitute for matched patterns | -| `case_insensitive` | BOOLEAN | No | - | When enabled, makes the pattern matching ignore case differences (default: True) | -| `multiline` | BOOLEAN | No | - | When enabled, changes the behavior of ^ and $ to match at the start/end of each line rather than just the start/end of the entire string (default: False) | -| `dotall` | BOOLEAN | No | - | When enabled, the dot (.) character will match any character including newline characters. When disabled, dots won't match newlines (default: False) | -| `count` | INT | No | 0-100 | Maximum number of replacements to make. Set to 0 to replace all occurrences (default). Set to 1 to replace only the first match, 2 for the first two matches, etc. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `string` | The input text string to search and replace within | STRING | Yes | - | +| `regex_pattern` | The regular expression pattern to search for in the input string | STRING | Yes | - | +| `replace` | The replacement text to substitute for matched patterns | STRING | Yes | - | +| `case_insensitive` | When enabled, makes the pattern matching ignore case differences (default: True) | BOOLEAN | No | - | +| `multiline` | When enabled, changes the behavior of ^ and $ to match at the start/end of each line rather than just the start/end of the entire string (default: False) | BOOLEAN | No | - | +| `dotall` | When enabled, the dot (.) character will match any character including newline characters. When disabled, dots won't match newlines (default: False) | BOOLEAN | No | - | +| `count` | Maximum number of replacements to make. Set to 0 to replace all occurrences (default). Set to 1 to replace only the first match, 2 for the first two matches, etc. (default: 0) | INT | No | 0-100 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The modified string with the specified replacements applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The modified string with the specified replacements applied | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexReplace/en.md) --- **Source fingerprint (SHA-256):** `58d4ec055aa5901b0e536bb2ca6993053ea85a9269d09cdcdf584df935d6876d` diff --git a/built-in-nodes/RemoveBackground.mdx b/built-in-nodes/RemoveBackground.mdx index 9cbc401e3..ef942c956 100644 --- a/built-in-nodes/RemoveBackground.mdx +++ b/built-in-nodes/RemoveBackground.mdx @@ -5,24 +5,24 @@ sidebarTitle: "RemoveBackground" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RemoveBackground/en.md) - ## Overview The Remove Background node generates a foreground mask that separates the main subject from the background of an input image. It uses a background removal model to analyze the image and produce a mask highlighting the foreground elements. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | N/A | Input image to remove the background from | -| `bg_removal_model` | BACKGROUND_REMOVAL_MODEL | Yes | N/A | Background removal model used to generate the mask | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | Input image to remove the background from | IMAGE | Yes | N/A | +| `bg_removal_model` | Background removal model used to generate the mask | BACKGROUND_REMOVAL_MODEL | Yes | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `mask` | MASK | Generated foreground mask that highlights the main subject of the input image | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `mask` | Generated foreground mask that highlights the main subject of the input image | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RemoveBackground/en.md) --- **Source fingerprint (SHA-256):** `6b0e31792dc8a5c949944680129e91790ca396336a43ac67b7816b9d6c5b9049` diff --git a/built-in-nodes/RenderSplat.mdx b/built-in-nodes/RenderSplat.mdx new file mode 100644 index 000000000..3a95e1df7 --- /dev/null +++ b/built-in-nodes/RenderSplat.mdx @@ -0,0 +1,39 @@ +--- +title: "RenderSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RenderSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RenderSplat" +icon: "circle" +mode: wide +--- +# Render Splat + +Render a gaussian splat as an image using an anisotropic EWA rasterizer with oriented elliptical splats, antialiasing, and depth-sorted front-to-back rendering. The camera comes from a camera_info input, or you can leave it empty to auto-frame the splat. Set frames greater than 1 for a turntable batch of images to feed a Video node. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `splat` | The gaussian splat data to render | SPLAT | Yes | - | +| `width` | Width of the output image (default: 1024) | INT | Yes | 64 to 2048 (step: 8) | +| `height` | Height of the output image (default: 1024) | INT | Yes | 64 to 2048 (step: 8) | +| `frames` | Number of frames to render. -1, 0, or 1 produces a single still image. Values greater than 1 create a turntable animation where the camera orbits over a full 360 degree turn. Negative values orbit in the opposite direction (default: 1) | INT | Yes | -240 to 240 | +| `splat_scale` | Multiplier on each splat's projected footprint. Lower values produce crisper points, higher values produce softer and fuller surfaces (default: 1.0) | FLOAT | Yes | 0.1 to 5.0 (step: 0.05) | +| `sharpen` | Controls sharpness of overlapping splats. A value of 1.0 gives physically-correct blending. Values above 1.0 bias each pixel toward its dominant (nearest) splat for crisper texture without shrinking splats or opening gaps (default: 2.0) | FLOAT | Yes | 1.0 to 8.0 (step: 0.5) | +| `headlight_shading` | Diffuse shading from a light at the camera position, using the splat surfel normals. Darkens surfaces that turn away from view to reveal form and curvature. 0 gives flat albedo, 1 gives strongest shading (default: 0.0) | FLOAT | Yes | 0.0 to 3.0 (step: 0.05) | +| `opacity_threshold` | Culls gaussians with opacity below this threshold, which removes faint floaters (default: 0.0) | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | +| `render_style` | What the image output shows. Options are: color (full color rendering), clay (neutral-albedo shaded), depth (near objects appear bright), normal (OpenGL normal map) (default: "color") | COMBO | Yes | "color"
"clay"
"depth"
"normal" | +| `background` | Solid background color for the render (default: #000000) | COLOR | Yes | - | +| `bg_image` | Optional background plate composited behind the splat. Overrides the solid background color. Resized to the render size. A batch of images is used per frame, a single image is used for all frames. Only works with color and clay render styles | IMAGE | No | - | +| `camera_info` | Camera to render from. Can come from a Load3D, Preview3D, or Create Camera Info node. If empty, the splat is auto-framed from a default 3/4 view | CAMERA_3D | No | - | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `image` | The rendered image of the gaussian splat | IMAGE | +| `mask` | The alpha mask of the rendered splat | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RenderSplat/en.md) + +--- +**Source fingerprint (SHA-256):** `038bd9fb032f347ecda665c03719a64b0cf907599b701606f5cf6d0606d19d98` diff --git a/built-in-nodes/RenormCFG.mdx b/built-in-nodes/RenormCFG.mdx index e1c72e837..e074272a1 100644 --- a/built-in-nodes/RenormCFG.mdx +++ b/built-in-nodes/RenormCFG.mdx @@ -5,23 +5,23 @@ sidebarTitle: "RenormCFG" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RenormCFG/en.md) - The RenormCFG node modifies the classifier-free guidance (CFG) process in diffusion models by applying conditional scaling and normalization. It adjusts the denoising process based on specified timestep thresholds and renormalization factors to control the influence of conditional versus unconditional predictions during image generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model to apply renormalized CFG to | -| `cfg_trunc` | FLOAT | No | 0.0 - 100.0 | Timestep threshold for applying CFG scaling. When the current timestep is below this value, CFG scaling is applied; otherwise, only the conditional prediction is used (default: 100.0) | -| `renorm_cfg` | FLOAT | No | 0.0 - 100.0 | Renormalization factor that limits the maximum norm of the CFG-scaled prediction relative to the original conditional prediction. A value of 0.0 disables renormalization (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to apply renormalized CFG to | MODEL | Yes | - | +| `cfg_trunc` | Timestep threshold for applying CFG scaling. When the current timestep is below this value, CFG scaling is applied; otherwise, only the conditional prediction is used (default: 100.0) | FLOAT | No | 0.0 - 100.0 | +| `renorm_cfg` | Renormalization factor that limits the maximum norm of the CFG-scaled prediction relative to the original conditional prediction. A value of 0.0 disables renormalization (default: 1.0) | FLOAT | No | 0.0 - 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with renormalized CFG function applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with renormalized CFG function applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RenormCFG/en.md) --- **Source fingerprint (SHA-256):** `1fb74c816d82d39e030a25e372c01f251a42c7fe6314cc6cefbad984acb262d3` diff --git a/built-in-nodes/RepeatImageBatch.mdx b/built-in-nodes/RepeatImageBatch.mdx index c6be4abb6..9b19e3e93 100644 --- a/built-in-nodes/RepeatImageBatch.mdx +++ b/built-in-nodes/RepeatImageBatch.mdx @@ -5,18 +5,19 @@ sidebarTitle: "RepeatImageBatch" icon: "circle" mode: wide --- - The RepeatImageBatch node is designed to replicate a given image a specified number of times, creating a batch of identical images. This functionality is useful for operations that require multiple instances of the same image, such as batch processing or data augmentation. ## Inputs -| Field | Data Type | Description | -|---------|-------------|-----------------------------------------------------------------------------| -| `image` | `IMAGE` | The 'image' parameter represents the image to be replicated. It is crucial for defining the content that will be duplicated across the batch. | -| `amount`| `INT` | The 'amount' parameter specifies the number of times the input image should be replicated. It directly influences the size of the output batch, allowing for flexible batch creation. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The 'image' parameter represents the image to be replicated. It is crucial for defining the content that will be duplicated across the batch. | `IMAGE` | +| `amount` | The 'amount' parameter specifies the number of times the input image should be replicated. It directly influences the size of the output batch, allowing for flexible batch creation. | `INT` | ## Outputs -| Field | Data Type | Description | -|-------|-------------|--------------------------------------------------------------------------| -| `image`| `IMAGE` | The output is a batch of images, each identical to the input image, replicated according to the specified 'amount'. | +| Field | Description | Data Type | +| --- | --- | --- | +| `image` | The output is a batch of images, each identical to the input image, replicated according to the specified 'amount'. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RepeatImageBatch/en.md) diff --git a/built-in-nodes/RepeatLatentBatch.mdx b/built-in-nodes/RepeatLatentBatch.mdx index ea740cdde..48394ccbc 100644 --- a/built-in-nodes/RepeatLatentBatch.mdx +++ b/built-in-nodes/RepeatLatentBatch.mdx @@ -5,18 +5,19 @@ sidebarTitle: "RepeatLatentBatch" icon: "circle" mode: wide --- - The RepeatLatentBatch node is designed to replicate a given batch of latent representations a specified number of times, potentially including additional data like noise masks and batch indices. This functionality is crucial for operations that require multiple instances of the same latent data, such as data augmentation or specific generative tasks. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `samples` | `LATENT` | The 'samples' parameter represents the latent representations to be replicated. It is essential for defining the data that will undergo repetition. | -| `amount` | `INT` | The 'amount' parameter specifies the number of times the input samples should be repeated. It directly influences the size of the output batch, thereby affecting the computational load and the diversity of the generated data. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples` | The 'samples' parameter represents the latent representations to be replicated. It is essential for defining the data that will undergo repetition. | `LATENT` | +| `amount` | The 'amount' parameter specifies the number of times the input samples should be repeated. It directly influences the size of the output batch, thereby affecting the computational load and the diversity of the generated data. | `INT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The output is a modified version of the input latent representations, replicated according to the specified 'amount'. It may include replicated noise masks and adjusted batch indices, if applicable. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The output is a modified version of the input latent representations, replicated according to the specified 'amount'. It may include replicated noise masks and adjusted batch indices, if applicable. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RepeatLatentBatch/en.md) diff --git a/built-in-nodes/ReplaceText.mdx b/built-in-nodes/ReplaceText.mdx index ab89aa28b..0275d95ac 100644 --- a/built-in-nodes/ReplaceText.mdx +++ b/built-in-nodes/ReplaceText.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ReplaceText" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceText/en.md) - The Replace Text node performs a simple text substitution. It searches for a specified piece of text within the input and replaces every occurrence with a new piece of text. The operation is applied to all text inputs provided to the node. **Note:** This node is deprecated and superseded by the other Replace Text node. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | Yes | - | The text to process. | -| `find` | STRING | Yes | - | Text to find (default: empty string). | -| `replace` | STRING | Yes | - | Text to replace with (default: empty string). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `text` | The text to process. | STRING | Yes | - | +| `find` | Text to find (default: empty string). | STRING | Yes | - | +| `replace` | Text to replace with (default: empty string). | STRING | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `text` | STRING | The processed text with all occurrences of the `find` text replaced by the `replace` text. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `text` | The processed text with all occurrences of the `find` text replaced by the `replace` text. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceText/en.md) --- **Source fingerprint (SHA-256):** `38beeabc232b19efedf2dcf4e2490f537d9a07d60c89de2811b7a4bddb98cf57` diff --git a/built-in-nodes/ReplaceVideoLatentFrames.mdx b/built-in-nodes/ReplaceVideoLatentFrames.mdx index cde0b7a5b..43eb70752 100644 --- a/built-in-nodes/ReplaceVideoLatentFrames.mdx +++ b/built-in-nodes/ReplaceVideoLatentFrames.mdx @@ -5,17 +5,15 @@ sidebarTitle: "ReplaceVideoLatentFrames" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceVideoLatentFrames/en.md) - The ReplaceVideoLatentFrames node inserts frames from a source latent video into a destination latent video, starting at a specified frame index. If the source latent is not provided, the destination latent is returned unchanged. The node handles negative indexing and will issue a warning if the source frames do not fit within the destination. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `destination` | LATENT | Yes | - | The destination latent where frames will be replaced. | -| `source` | LATENT | No | - | The source latent providing frames to insert into the destination latent. If not provided, the destination latent is returned unchanged. | -| `index` | INT | Yes | -MAX_RESOLUTION to MAX_RESOLUTION | The starting latent frame index in the destination latent where the source latent frames will be placed. Negative values count from the end (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `destination` | The destination latent where frames will be replaced. | LATENT | Yes | - | +| `source` | The source latent providing frames to insert into the destination latent. If not provided, the destination latent is returned unchanged. | LATENT | No | - | +| `index` | The starting latent frame index in the destination latent where the source latent frames will be placed. Negative values count from the end (default: 0). | INT | Yes | -MAX_RESOLUTION to MAX_RESOLUTION | **Constraints:** @@ -24,9 +22,11 @@ The ReplaceVideoLatentFrames node inserts frames from a source latent video into ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | LATENT | The resulting latent video after the frame replacement operation. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The resulting latent video after the frame replacement operation. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceVideoLatentFrames/en.md) --- **Source fingerprint (SHA-256):** `c70eb5f907964e00babcee66a98d1bf382c3bc704f920d61598a4a03f4d686f8` diff --git a/built-in-nodes/Reroute.mdx b/built-in-nodes/Reroute.mdx index 3431c6737..25051e395 100644 --- a/built-in-nodes/Reroute.mdx +++ b/built-in-nodes/Reroute.mdx @@ -18,3 +18,5 @@ Node Purpose: Mainly used to organize the logic of overly long connection lines | Set Horizontal | Set the node's wiring direction to horizontal | When your wiring logic is too long and complex, and you want to tidy up the interface, you can insert a ```Reroute``` node between two connection points. The input and output of this node are not type-restricted, and the default style is horizontal. You can change the wiring direction to vertical through the right-click menu. + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Reroute/en.md) diff --git a/built-in-nodes/RescaleCFG.mdx b/built-in-nodes/RescaleCFG.mdx index c4f7edf43..264d9763c 100644 --- a/built-in-nodes/RescaleCFG.mdx +++ b/built-in-nodes/RescaleCFG.mdx @@ -5,18 +5,19 @@ sidebarTitle: "RescaleCFG" icon: "circle" mode: wide --- - The RescaleCFG node is designed to adjust the conditioning and unconditioning scales of a model's output based on a specified multiplier, aiming to achieve a more balanced and controlled generation process. It operates by rescaling the model's output to modify the influence of conditioned and unconditioned components, thereby potentially enhancing the model's performance or output quality. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model` | MODEL | The model parameter represents the generative model to be adjusted. It is crucial as the node applies a rescaling function to the model's output, directly influencing the generation process. | -| `multiplier` | `FLOAT` | The multiplier parameter controls the extent of rescaling applied to the model's output. It determines the balance between the original and rescaled components, affecting the final output's characteristics. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | The model parameter represents the generative model to be adjusted. It is crucial as the node applies a rescaling function to the model's output, directly influencing the generation process. | MODEL | +| `multiplier` | The multiplier parameter controls the extent of rescaling applied to the model's output. It determines the balance between the original and rescaled components, affecting the final output's characteristics. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model` | MODEL | The modified model with adjusted conditioning and unconditioning scales. This model is expected to produce outputs with potentially enhanced characteristics due to the applied rescaling. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with adjusted conditioning and unconditioning scales. This model is expected to produce outputs with potentially enhanced characteristics due to the applied rescaling. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RescaleCFG/en.md) diff --git a/built-in-nodes/ResizeAndPadImage.mdx b/built-in-nodes/ResizeAndPadImage.mdx index 6ff27940e..5bb65e173 100644 --- a/built-in-nodes/ResizeAndPadImage.mdx +++ b/built-in-nodes/ResizeAndPadImage.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ResizeAndPadImage" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeAndPadImage/en.md) - The ResizeAndPadImage node resizes an image to fit within specified dimensions while maintaining its original aspect ratio. It scales the image down proportionally to fit within the target width and height, then adds padding around the edges to fill any remaining space. The padding color and interpolation method can be customized to control the appearance of the padded areas and the quality of the resizing. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be resized and padded | -| `target_width` | INT | Yes | 1 to MAX_RESOLUTION | The desired width of the output image (default: 512) | -| `target_height` | INT | Yes | 1 to MAX_RESOLUTION | The desired height of the output image (default: 512) | -| `padding_color` | COMBO | Yes | "white"
"black" | The color to use for padding areas around the resized image (default: "white") | -| `interpolation` | COMBO | Yes | "area"
"bicubic"
"nearest-exact"
"bilinear"
"lanczos" | The interpolation method used for resizing the image (default: "area") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be resized and padded | IMAGE | Yes | - | +| `target_width` | The desired width of the output image (default: 512) | INT | Yes | 1 to MAX_RESOLUTION | +| `target_height` | The desired height of the output image (default: 512) | INT | Yes | 1 to MAX_RESOLUTION | +| `padding_color` | The color to use for padding areas around the resized image (default: "white") | COMBO | Yes | "white"
"black" | +| `interpolation` | The interpolation method used for resizing the image (default: "area") | COMBO | Yes | "area"
"bicubic"
"nearest-exact"
"bilinear"
"lanczos" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The resized and padded output image | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The resized and padded output image | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeAndPadImage/en.md) --- **Source fingerprint (SHA-256):** `cc516caee9f466d557e1c8e3c7fcef25acc1e33d181bc4b100302dc93530cb95` diff --git a/built-in-nodes/ResizeImageMaskNode.mdx b/built-in-nodes/ResizeImageMaskNode.mdx index 3622269bb..2f1ea8f29 100644 --- a/built-in-nodes/ResizeImageMaskNode.mdx +++ b/built-in-nodes/ResizeImageMaskNode.mdx @@ -5,33 +5,33 @@ sidebarTitle: "ResizeImageMaskNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImageMaskNode/en.md) - The Resize Image/Mask node provides multiple methods to change the dimensions of an input image or mask. It can scale by a multiplier, set specific dimensions, match the size of another input, or adjust based on pixel count, using various interpolation methods for quality. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `input` | IMAGE or MASK | Yes | N/A | The image or mask to be resized. | -| `resize_type` | COMBO | Yes | `SCALE_BY`
`SCALE_DIMENSIONS`
`SCALE_LONGER_DIMENSION`
`SCALE_SHORTER_DIMENSION`
`SCALE_WIDTH`
`SCALE_HEIGHT`
`SCALE_TOTAL_PIXELS`
`MATCH_SIZE` | The method used to determine the new size. The required parameters change based on the selected type. | -| `multiplier` | FLOAT | No | 0.01 to 8.0 | The scaling factor. Required when `resize_type` is `SCALE_BY` (default: 1.00). | -| `width` | INT | No | 0 to 8192 | The target width in pixels. Required when `resize_type` is `SCALE_DIMENSIONS` or `SCALE_WIDTH` (default: 512). | -| `height` | INT | No | 0 to 8192 | The target height in pixels. Required when `resize_type` is `SCALE_DIMENSIONS` or `SCALE_HEIGHT` (default: 512). | -| `crop` | COMBO | No | `"disabled"`
`"center"` | The cropping method to apply when dimensions don't match the aspect ratio. Only available when `resize_type` is `SCALE_DIMENSIONS` or `MATCH_SIZE` (default: "center"). | -| `longer_size` | INT | No | 0 to 8192 | The target size for the longer side of the image. Required when `resize_type` is `SCALE_LONGER_DIMENSION` (default: 512). | -| `shorter_size` | INT | No | 0 to 8192 | The target size for the shorter side of the image. Required when `resize_type` is `SCALE_SHORTER_DIMENSION` (default: 512). | -| `megapixels` | FLOAT | No | 0.01 to 16.0 | The target total number of megapixels. Required when `resize_type` is `SCALE_TOTAL_PIXELS` (default: 1.0). | -| `match` | IMAGE or MASK | No | N/A | An image or mask whose dimensions the input will be resized to match. Required when `resize_type` is `MATCH_SIZE`. | -| `scale_method` | COMBO | Yes | `"nearest-exact"`
`"bilinear"`
`"area"`
`"bicubic"`
`"lanczos"` | The interpolation algorithm used for scaling (default: "area"). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `input` | The image or mask to be resized. | IMAGE or MASK | Yes | N/A | +| `resize_type` | The method used to determine the new size. The required parameters change based on the selected type. | COMBO | Yes | `SCALE_BY`
`SCALE_DIMENSIONS`
`SCALE_LONGER_DIMENSION`
`SCALE_SHORTER_DIMENSION`
`SCALE_WIDTH`
`SCALE_HEIGHT`
`SCALE_TOTAL_PIXELS`
`MATCH_SIZE` | +| `multiplier` | The scaling factor. Required when `resize_type` is `SCALE_BY` (default: 1.00). | FLOAT | No | 0.01 to 8.0 | +| `width` | The target width in pixels. Required when `resize_type` is `SCALE_DIMENSIONS` or `SCALE_WIDTH` (default: 512). | INT | No | 0 to 8192 | +| `height` | The target height in pixels. Required when `resize_type` is `SCALE_DIMENSIONS` or `SCALE_HEIGHT` (default: 512). | INT | No | 0 to 8192 | +| `crop` | The cropping method to apply when dimensions don't match the aspect ratio. Only available when `resize_type` is `SCALE_DIMENSIONS` or `MATCH_SIZE` (default: "center"). | COMBO | No | `"disabled"`
`"center"` | +| `longer_size` | The target size for the longer side of the image. Required when `resize_type` is `SCALE_LONGER_DIMENSION` (default: 512). | INT | No | 0 to 8192 | +| `shorter_size` | The target size for the shorter side of the image. Required when `resize_type` is `SCALE_SHORTER_DIMENSION` (default: 512). | INT | No | 0 to 8192 | +| `megapixels` | The target total number of megapixels. Required when `resize_type` is `SCALE_TOTAL_PIXELS` (default: 1.0). | FLOAT | No | 0.01 to 16.0 | +| `match` | An image or mask whose dimensions the input will be resized to match. Required when `resize_type` is `MATCH_SIZE`. | IMAGE or MASK | No | N/A | +| `scale_method` | The interpolation algorithm used for scaling (default: "area"). | COMBO | Yes | `"nearest-exact"`
`"bilinear"`
`"area"`
`"bicubic"`
`"lanczos"` | **Note:** The `crop` parameter is only available and relevant when the `resize_type` is set to `SCALE_DIMENSIONS` or `MATCH_SIZE`. When using `SCALE_WIDTH` or `SCALE_HEIGHT`, the other dimension is automatically scaled to maintain the original aspect ratio. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `resized` | IMAGE or MASK | The resized image or mask, matching the data type of the input. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `resized` | The resized image or mask, matching the data type of the input. | IMAGE or MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImageMaskNode/en.md) --- **Source fingerprint (SHA-256):** `9ac0b153608ac971bb11d9d12ebd1f0f4d6e926604e8727a1bc3a311d95fbc03` diff --git a/built-in-nodes/ResizeImagesByLongerEdge.mdx b/built-in-nodes/ResizeImagesByLongerEdge.mdx index a38a884ac..54f5a831e 100644 --- a/built-in-nodes/ResizeImagesByLongerEdge.mdx +++ b/built-in-nodes/ResizeImagesByLongerEdge.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ResizeImagesByLongerEdge" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/en.md) - The Resize Images by Longer Edge node resizes one or more images so that their longest side matches a specified target length. It automatically determines whether the width or height is longer and scales the other dimension proportionally to preserve the original aspect ratio. This node is deprecated and superseded by the Resize Image/Mask node with the resize type set to "scale longer dimension". ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image or batch of images to be resized. | -| `longer_edge` | INT | Yes | 1 - 8192 | Target dimension for the longer edge. The shorter edge will be scaled proportionally. (default: 1024) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image or batch of images to be resized. | IMAGE | Yes | - | +| `longer_edge` | Target dimension for the longer edge. The shorter edge will be scaled proportionally. (default: 1024) | INT | Yes | 1 - 8192 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The resized image or batch of images. The output will have the same number of images as the input, with each one's longer edge matching the specified `longer_edge` length. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The resized image or batch of images. The output will have the same number of images as the input, with each one's longer edge matching the specified `longer_edge` length. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/en.md) --- **Source fingerprint (SHA-256):** `bf66808acbc654d5a9ea58b062b5b89d6c13dbec0929d6d92aaa3c8914dcece0` diff --git a/built-in-nodes/ResizeImagesByShorterEdge.mdx b/built-in-nodes/ResizeImagesByShorterEdge.mdx index 15924bf5b..8062cf1d8 100644 --- a/built-in-nodes/ResizeImagesByShorterEdge.mdx +++ b/built-in-nodes/ResizeImagesByShorterEdge.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ResizeImagesByShorterEdge" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/en.md) - This node resizes images so that the shorter edge matches a specified length while preserving the original aspect ratio. It calculates new dimensions based on the target length for the shorter side and returns the resized image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be resized. | -| `shorter_edge` | INT | Yes | 1 to 8192 | Target dimension for the shorter edge. (default: 512) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be resized. | IMAGE | Yes | - | +| `shorter_edge` | Target dimension for the shorter edge. (default: 512) | INT | Yes | 1 to 8192 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The resized image with the shorter edge matching the specified target length. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The resized image with the shorter edge matching the specified target length. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/en.md) --- **Source fingerprint (SHA-256):** `6bb3e1c974108ee7b75b47406ea02b3f47ca14305f9ee54d3d379eefbb7f26cd` diff --git a/built-in-nodes/ResolutionBucket.mdx b/built-in-nodes/ResolutionBucket.mdx index ded867b7b..1b4376046 100644 --- a/built-in-nodes/ResolutionBucket.mdx +++ b/built-in-nodes/ResolutionBucket.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ResolutionBucket" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionBucket/en.md) - This node organizes a list of latent images and their corresponding conditioning data by their resolution. It groups together items that share the same height and width, creating separate batches for each unique resolution. This process is useful for preparing data for efficient training, as it allows models to process multiple items of the same size together. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `latents` | LATENT | Yes | N/A | List of latent dicts to bucket by resolution. | -| `conditioning` | CONDITIONING | Yes | N/A | List of conditioning lists (must match latents length). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `latents` | List of latent dicts to bucket by resolution. | LATENT | Yes | N/A | +| `conditioning` | List of conditioning lists (must match latents length). | CONDITIONING | Yes | N/A | **Note:** The number of items in the `latents` list must exactly match the number of items in the `conditioning` list. Each latent dictionary can contain a batch of samples, and the corresponding conditioning list must contain a matching number of conditioning items for that batch. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `latents` | LATENT | List of batched latent dicts, one per resolution bucket. | -| `conditioning` | CONDITIONING | List of condition lists, one per resolution bucket. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `latents` | List of batched latent dicts, one per resolution bucket. | LATENT | +| `conditioning` | List of condition lists, one per resolution bucket. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionBucket/en.md) --- **Source fingerprint (SHA-256):** `20a0794e5a2c88ac60bb729b60840c5a632a115196de285b764effaf43ab73e0` diff --git a/built-in-nodes/ResolutionSelector.mdx b/built-in-nodes/ResolutionSelector.mdx index d677f4883..24b67c6e9 100644 --- a/built-in-nodes/ResolutionSelector.mdx +++ b/built-in-nodes/ResolutionSelector.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ResolutionSelector" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionSelector/en.md) - The Resolution Selector node calculates the pixel width and height for an image based on a chosen aspect ratio and a target total resolution in megapixels. It is useful for generating consistent dimensions for other nodes, such as the Empty Latent Image node. The output dimensions are always rounded to the nearest multiple of 8. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `aspect_ratio` | COMBO | Yes | `"1:1 (Square)"`
`"3:2 (Photo)"`
`"4:3 (Standard)"`
`"16:9 (Widescreen)"`
`"21:9 (Ultrawide)"`
`"2:3 (Portrait Photo)"`
`"3:4 (Portrait Standard)"`
`"9:16 (Portrait Widescreen)"` | The aspect ratio for the output dimensions (default: `"1:1 (Square)"`). | -| `megapixels` | FLOAT | Yes | 0.1 - 16.0 | Target total megapixels. 1.0 MP ≈ 1024×1024 for a square aspect ratio (default: 1.0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `aspect_ratio` | The aspect ratio for the output dimensions (default: `"1:1 (Square)"`). | COMBO | Yes | `"1:1 (Square)"`
`"3:2 (Photo)"`
`"4:3 (Standard)"`
`"16:9 (Widescreen)"`
`"21:9 (Ultrawide)"`
`"2:3 (Portrait Photo)"`
`"3:4 (Portrait Standard)"`
`"9:16 (Portrait Widescreen)"` | +| `megapixels` | Target total megapixels. 1.0 MP ≈ 1024×1024 for a square aspect ratio (default: 1.0). | FLOAT | Yes | 0.1 - 16.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `width` | INT | The calculated width in pixels, which is a multiple of 8. | -| `height` | INT | The calculated height in pixels, which is a multiple of 8. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `width` | The calculated width in pixels, which is a multiple of 8. | INT | +| `height` | The calculated height in pixels, which is a multiple of 8. | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionSelector/en.md) --- **Source fingerprint (SHA-256):** `7b27f0ffaaa1740a6371e53f10fa6a0ead3237ecec656b9148a2ecd11de7aaa5` diff --git a/built-in-nodes/ReveImageCreateNode.mdx b/built-in-nodes/ReveImageCreateNode.mdx index 371f4f825..34e5d7391 100644 --- a/built-in-nodes/ReveImageCreateNode.mdx +++ b/built-in-nodes/ReveImageCreateNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "ReveImageCreateNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageCreateNode/en.md) - The Reve Image Create node generates images from text descriptions using the Reve AI model. It sends a text prompt to the Reve API and returns the generated image. You can control the image's aspect ratio and apply optional post-processing effects like upscaling and background removal. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text description of the desired image. Maximum 2560 characters. | -| `model` | COMBO | Yes | `"reve-create@20250915"` | Model version to use for generation. The aspect ratio is selected from the available options within this parameter. | -| `aspect_ratio` | COMBO | Yes | `"3:2"`
`"16:9"`
`"9:16"`
`"2:3"`
`"4:3"`
`"3:4"`
`"1:1"` | The desired aspect ratio for the generated image. | -| `test_time_scaling` | COMBO | Yes | `"disabled"`
`"enabled"` | Enables or disables test-time scaling, which can improve image quality at the cost of longer generation time. | -| `upscale` | COMBO | No | `"disabled"`
`"enabled"` | Enables or disables the upscaling post-processing step. When enabled, you must also select an upscale factor. | -| `upscale_factor` | COMBO | No | `2`
`3`
`4` | The factor by which to increase the image's resolution. This parameter is only active when `upscale` is set to `"enabled"`. | -| `remove_background` | BOOLEAN | No | N/A | When enabled, applies a background removal post-processing step to the generated image. | -| `seed` | INT | No | 0 to 2147483647 | A seed value that controls whether the node should re-run. Note: Results are non-deterministic regardless of the seed value. Default: 0. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text description of the desired image. Maximum 2560 characters. | STRING | Yes | N/A | +| `model` | Model version to use for generation. The aspect ratio is selected from the available options within this parameter. | COMBO | Yes | `"reve-create@20250915"` | +| `aspect_ratio` | The desired aspect ratio for the generated image. | COMBO | Yes | `"3:2"`
`"16:9"`
`"9:16"`
`"2:3"`
`"4:3"`
`"3:4"`
`"1:1"` | +| `test_time_scaling` | Enables or disables test-time scaling, which can improve image quality at the cost of longer generation time. | COMBO | Yes | `"disabled"`
`"enabled"` | +| `upscale` | Enables or disables the upscaling post-processing step. When enabled, you must also select an upscale factor. | COMBO | No | `"disabled"`
`"enabled"` | +| `upscale_factor` | The factor by which to increase the image's resolution. This parameter is only active when `upscale` is set to `"enabled"`. | COMBO | No | `2`
`3`
`4` | +| `remove_background` | When enabled, applies a background removal post-processing step to the generated image. | BOOLEAN | No | N/A | +| `seed` | A seed value that controls whether the node should re-run. Note: Results are non-deterministic regardless of the seed value. Default: 0. | INT | No | 0 to 2147483647 | **Note:** The `upscale_factor` parameter is dependent on the `upscale` parameter being set to `"enabled"`. The `seed` parameter does not guarantee deterministic outputs. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The image generated by the Reve model based on the input prompt. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The image generated by the Reve model based on the input prompt. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageCreateNode/en.md) --- **Source fingerprint (SHA-256):** `69c81413cb345b7ecd92055e244f89d5b33f2bd67ee83e4225dd7c2168b55d5a` diff --git a/built-in-nodes/ReveImageEditNode.mdx b/built-in-nodes/ReveImageEditNode.mdx index 25562a578..fcbcd2552 100644 --- a/built-in-nodes/ReveImageEditNode.mdx +++ b/built-in-nodes/ReveImageEditNode.mdx @@ -5,31 +5,31 @@ sidebarTitle: "ReveImageEditNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageEditNode/en.md) - The Reve Image Edit node allows you to modify an existing image based on a text description. It uses the Reve API to interpret your instructions and apply the requested changes to the image you provide. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The image to edit. | -| `edit_instruction` | STRING | Yes | - | Text description of how to edit the image. Maximum 2560 characters. | -| `model` | MODEL | Yes | `"reve-edit@20250915"`
`"reve-edit-fast@20251030"` | Model version to use for editing. | -| `model.aspect_ratio` | COMBO | No | `"auto"`
`"16:9"`
`"9:16"`
`"3:2"`
`"2:3"`
`"4:3"`
`"3:4"`
`"1:1"` | The aspect ratio for the edited image. When set to "auto", the aspect ratio is determined automatically. | -| `model.test_time_scaling` | FLOAT | No | - | Test-time scaling factor for the model. Higher values may improve quality but increase processing time. | -| `upscale` | COMBO | No | `"disabled"`
`"enabled"` | Controls whether to upscale the generated image. | -| `upscale.upscale_factor` | FLOAT | No | - | The factor by which to upscale the image when upscaling is enabled. | -| `remove_background` | BOOLEAN | No | - | Controls whether to remove the background from the generated image. | -| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The image to edit. | IMAGE | Yes | - | +| `edit_instruction` | Text description of how to edit the image. Maximum 2560 characters. | STRING | Yes | - | +| `model` | Model version to use for editing. | MODEL | Yes | `"reve-edit@20250915"`
`"reve-edit-fast@20251030"` | +| `model.aspect_ratio` | The aspect ratio for the edited image. When set to "auto", the aspect ratio is determined automatically. | COMBO | No | `"auto"`
`"16:9"`
`"9:16"`
`"3:2"`
`"2:3"`
`"4:3"`
`"3:4"`
`"1:1"` | +| `model.test_time_scaling` | Test-time scaling factor for the model. Higher values may improve quality but increase processing time. | FLOAT | No | - | +| `upscale` | Controls whether to upscale the generated image. | COMBO | No | `"disabled"`
`"enabled"` | +| `upscale.upscale_factor` | The factor by which to upscale the image when upscaling is enabled. | FLOAT | No | - | +| `remove_background` | Controls whether to remove the background from the generated image. | BOOLEAN | No | - | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | No | 0 to 2147483647 | **Note:** The `upscale.upscale_factor` parameter is only relevant when the `upscale` parameter is set to `"enabled"`. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The edited image generated based on the instruction. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The edited image generated based on the instruction. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageEditNode/en.md) --- **Source fingerprint (SHA-256):** `21fbe9e23e952eb0132d31a295505a38a6d3640396865d00b999135d0722166f` diff --git a/built-in-nodes/ReveImageRemixNode.mdx b/built-in-nodes/ReveImageRemixNode.mdx index efd6c1694..32372e60e 100644 --- a/built-in-nodes/ReveImageRemixNode.mdx +++ b/built-in-nodes/ReveImageRemixNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "ReveImageRemixNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageRemixNode/en.md) - The Reve Image Remix node uses the Reve API to generate a new image. It combines one or more reference images with a text prompt to create a new, remixed image based on the provided description. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `reference_images` | IMAGE | Yes | 1 to 6 images | One or more reference images to use as a base for the remix. You can add between 1 and 6 images. | -| `prompt` | STRING | Yes | 1 to 2560 characters | A text description of the desired image. You can include XML `` tags to reference specific images by their index (e.g., `0`, `1`). (default: empty) | -| `model` | COMBO | Yes | `reve-remix@20250915`
`reve-remix-fast@20251030` | The model version to use for remixing. Each model option includes configurable aspect ratios and test-time scaling. | -| `upscale` | COMBO | No | `"disabled"`
`"enabled"` | Controls whether to upscale the generated image. When enabled, you can select an upscale factor. | -| `remove_background` | BOOLEAN | No | `true`
`false` | When enabled, attempts to remove the background from the generated image. | -| `seed` | INT | No | 0 to 2147483647 | A seed value. Changing this value will cause the node to re-run, but the results are non-deterministic regardless of seed. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `reference_images` | One or more reference images to use as a base for the remix. You can add between 1 and 6 images. | IMAGE | Yes | 1 to 6 images | +| `prompt` | A text description of the desired image. You can include XML `` tags to reference specific images by their index (e.g., `0`, `1`). (default: empty) | STRING | Yes | 1 to 2560 characters | +| `model` | The model version to use for remixing. Each model option includes configurable aspect ratios and test-time scaling. | COMBO | Yes | `reve-remix@20250915`
`reve-remix-fast@20251030` | +| `upscale` | Controls whether to upscale the generated image. When enabled, you can select an upscale factor. | COMBO | No | `"disabled"`
`"enabled"` | +| `remove_background` | When enabled, attempts to remove the background from the generated image. | BOOLEAN | No | `true`
`false` | +| `seed` | A seed value. Changing this value will cause the node to re-run, but the results are non-deterministic regardless of seed. (default: 0) | INT | No | 0 to 2147483647 | **Note:** The `model` parameter is a dynamic combo that includes nested settings for `aspect_ratio` (options: "auto", "16:9", "9:16", "3:2", "2:3", "4:3", "3:4", "1:1") and `test_time_scaling`. The `upscale` parameter, when set to "enabled", reveals a nested `upscale_factor` setting. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The new image generated by the Reve remix process. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The new image generated by the Reve remix process. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageRemixNode/en.md) --- **Source fingerprint (SHA-256):** `eb69d653812ecd63c66be9290233a820a4d0145bdd5be1e23601d8cdd5eb228a` diff --git a/built-in-nodes/Rodin3D_Detail.mdx b/built-in-nodes/Rodin3D_Detail.mdx index ea09f68a7..aad0426c0 100644 --- a/built-in-nodes/Rodin3D_Detail.mdx +++ b/built-in-nodes/Rodin3D_Detail.mdx @@ -5,25 +5,25 @@ sidebarTitle: "Rodin3D_Detail" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Detail/en.md) - The Rodin 3D Detail node generates detailed 3D assets using the Rodin API. It takes input images and processes them through the Rodin service to create high-quality 3D models with detailed geometry and materials. The node handles the entire workflow from task creation to downloading the final 3D model file. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | Yes | - | Input images used for 3D model generation. A minimum of 1 image is required, and a maximum of 5 images can be provided. | -| `Seed` | INT | No | 0 to 65535 | Random seed value for reproducible results (default: 0) | -| `Material_Type` | STRING | No | `"PBR"`
`"Shaded"` | Type of material to apply to the 3D model (default: "PBR") | -| `Polygon_count` | STRING | No | `"4K-Quad"`
`"8K-Quad"`
`"18K-Quad"`
`"50K-Quad"`
`"200K-Triangle"` | Target polygon count for the generated 3D model. Determines the mesh quality level (default: "18K-Quad") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `Images` | Input images used for 3D model generation. A minimum of 1 image is required, and a maximum of 5 images can be provided. | IMAGE | Yes | - | +| `Seed` | Random seed value for reproducible results (default: 0) | INT | No | 0 to 65535 | +| `Material_Type` | Type of material to apply to the 3D model (default: "PBR") | STRING | No | `"PBR"`
`"Shaded"` | +| `Polygon_count` | Target polygon count for the generated 3D model. Determines the mesh quality level (default: "18K-Quad") | STRING | No | `"4K-Quad"`
`"8K-Quad"`
`"18K-Quad"`
`"50K-Quad"`
`"200K-Triangle"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `3D Model Path` | STRING | File path to the generated 3D model (for backward compatibility only) | -| `GLB` | FILE3DGLB | The generated 3D model in GLB format | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `3D Model Path` | File path to the generated 3D model (for backward compatibility only) | STRING | +| `GLB` | The generated 3D model in GLB format | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Detail/en.md) --- **Source fingerprint (SHA-256):** `ccdee80eb972c13a8849488080c08ba7276cec0b77a2089c7a9ad5b8adc5937b` diff --git a/built-in-nodes/Rodin3D_Gen2.mdx b/built-in-nodes/Rodin3D_Gen2.mdx index 3b21588bc..71286e7b0 100644 --- a/built-in-nodes/Rodin3D_Gen2.mdx +++ b/built-in-nodes/Rodin3D_Gen2.mdx @@ -5,26 +5,26 @@ sidebarTitle: "Rodin3D_Gen2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen2/en.md) - The Rodin3D_Gen2 node generates 3D assets using the Rodin API. It takes input images and converts them into 3D models with various material types and polygon counts. The node handles the entire generation process including task creation, status polling, and file downloading automatically. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | Yes | - | Input images to use for 3D model generation. Accepts 1 to 5 images. | -| `Seed` | INT | No | 0-65535 | Random seed value for generation (default: 0) | -| `Material_Type` | COMBO | No | "PBR"
"Shaded" | Type of material to apply to the 3D model (default: "PBR") | -| `Polygon_count` | COMBO | No | "4K-Quad"
"8K-Quad"
"18K-Quad"
"50K-Quad"
"2K-Triangle"
"20K-Triangle"
"150K-Triangle"
"500K-Triangle" | Target polygon count and mesh type for the generated 3D model. "Quad" options use quad-based meshes, "Triangle" options use triangle-based meshes (default: "500K-Triangle") | -| `TAPose` | BOOLEAN | No | - | Whether to apply TAPose processing (default: False). This is an advanced parameter. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `Images` | Input images to use for 3D model generation. Accepts 1 to 5 images. | IMAGE | Yes | - | +| `Seed` | Random seed value for generation (default: 0) | INT | No | 0-65535 | +| `Material_Type` | Type of material to apply to the 3D model (default: "PBR") | COMBO | No | "PBR"
"Shaded" | +| `Polygon_count` | Target polygon count and mesh type for the generated 3D model. "Quad" options use quad-based meshes, "Triangle" options use triangle-based meshes (default: "500K-Triangle") | COMBO | No | "4K-Quad"
"8K-Quad"
"18K-Quad"
"50K-Quad"
"2K-Triangle"
"20K-Triangle"
"150K-Triangle"
"500K-Triangle" | +| `TAPose` | Whether to apply TAPose processing (default: False). This is an advanced parameter. | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `3D Model Path` | STRING | File path to the generated 3D model (for backward compatibility) | -| `GLB` | FILE3DGLB | The generated 3D model in GLB format | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `3D Model Path` | File path to the generated 3D model (for backward compatibility) | STRING | +| `GLB` | The generated 3D model in GLB format | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen2/en.md) --- **Source fingerprint (SHA-256):** `98e183ba480d2ef8dc1930132ea4edf83481cf6bf7ee18a22972b71dd532c7ea` diff --git a/built-in-nodes/Rodin3D_Gen25_Image.mdx b/built-in-nodes/Rodin3D_Gen25_Image.mdx index 559f83fbf..49c61e238 100644 --- a/built-in-nodes/Rodin3D_Gen25_Image.mdx +++ b/built-in-nodes/Rodin3D_Gen25_Image.mdx @@ -5,39 +5,39 @@ sidebarTitle: "Rodin3D_Gen25_Image" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md) - ## Overview This node generates a 3D model from one to five reference images using the Rodin Gen-2.5 API. You can choose between Fast, Regular, or Extreme-High quality modes to balance generation speed and cost. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | 1 to 5 images | One to five input images. The first image is used for materials when multiple images are provided. | -| `mode` | COMBO | Yes | `"Fast"`
`"Regular"`
`"Extreme-High"` | The generation quality mode. Higher quality modes produce better results but cost more. | -| `material` | COMBO | Yes | `"PBR"`
`"Matte"` | The material type for the generated 3D model. | -| `geometry_file_format` | COMBO | Yes | `"glb"`
`"obj"`
`"stl"`
`"usdz"` | The output file format for the 3D model geometry. | -| `texture_mode` | COMBO | Yes | `"Original"`
`"Clean"`
`"Style"` | The texture generation mode. "Original" preserves input textures, "Clean" removes them, and "Style" applies a stylized texture. | -| `seed` | INT | Yes | 0 to 2147483647 | A random seed for reproducible results. Use the same seed to get the same output. | -| `TAPose` | BOOLEAN | Yes | True / False | Whether to apply T-pose to the generated model. | -| `hd_texture` | BOOLEAN | Yes | True / False | Whether to generate a high-definition texture map. | -| `texture_delight` | BOOLEAN | Yes | True / False | Whether to remove lighting from the input images before texture generation. | -| `use_original_alpha` | BOOLEAN | Yes | True / False | Whether to use the original alpha channel from the input images. | -| `addon_highpack` | BOOLEAN | Yes | True / False | Whether to generate a high-polygon version of the model in addition to the standard one. | -| `bbox_width` | INT | Yes | 1 to 1000 | The width of the bounding box for the generated model in centimeters. | -| `bbox_height` | INT | Yes | 1 to 1000 | The height of the bounding box for the generated model in centimeters. | -| `bbox_length` | INT | Yes | 1 to 1000 | The length of the bounding box for the generated model in centimeters. | -| `height_cm` | INT | Yes | 1 to 300 | The height of the generated model in centimeters. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | One to five input images. The first image is used for materials when multiple images are provided. | IMAGE | Yes | 1 to 5 images | +| `mode` | The generation quality mode. Higher quality modes produce better results but cost more. | COMBO | Yes | `"Fast"`
`"Regular"`
`"Extreme-High"` | +| `material` | The material type for the generated 3D model. | COMBO | Yes | `"PBR"`
`"Matte"` | +| `geometry_file_format` | The output file format for the 3D model geometry. | COMBO | Yes | `"glb"`
`"obj"`
`"stl"`
`"usdz"` | +| `texture_mode` | The texture generation mode. "Original" preserves input textures, "Clean" removes them, and "Style" applies a stylized texture. | COMBO | Yes | `"Original"`
`"Clean"`
`"Style"` | +| `seed` | A random seed for reproducible results. Use the same seed to get the same output. | INT | Yes | 0 to 2147483647 | +| `TAPose` | Whether to apply T-pose to the generated model. | BOOLEAN | Yes | True / False | +| `hd_texture` | Whether to generate a high-definition texture map. | BOOLEAN | Yes | True / False | +| `texture_delight` | Whether to remove lighting from the input images before texture generation. | BOOLEAN | Yes | True / False | +| `use_original_alpha` | Whether to use the original alpha channel from the input images. | BOOLEAN | Yes | True / False | +| `addon_highpack` | Whether to generate a high-polygon version of the model in addition to the standard one. | BOOLEAN | Yes | True / False | +| `bbox_width` | The width of the bounding box for the generated model in centimeters. | INT | Yes | 1 to 1000 | +| `bbox_height` | The height of the bounding box for the generated model in centimeters. | INT | Yes | 1 to 1000 | +| `bbox_length` | The length of the bounding box for the generated model in centimeters. | INT | Yes | 1 to 1000 | +| `height_cm` | The height of the generated model in centimeters. | INT | Yes | 1 to 300 | **Note on Image Count:** The node accepts between 1 and 5 images. If you provide a batch of images (e.g., a 4-image batch), each image in the batch is treated as a separate input image. Providing more than 5 images will result in an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | FILE3D | The generated 3D model file in the selected geometry format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The generated 3D model file in the selected geometry format. | FILE3D | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md) --- **Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878` diff --git a/built-in-nodes/Rodin3D_Gen25_Text.mdx b/built-in-nodes/Rodin3D_Gen25_Text.mdx index 2b4470bff..db45a92f1 100644 --- a/built-in-nodes/Rodin3D_Gen25_Text.mdx +++ b/built-in-nodes/Rodin3D_Gen25_Text.mdx @@ -5,38 +5,38 @@ sidebarTitle: "Rodin3D_Gen25_Text" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/en.md) - ## Overview Generate a 3D model from a text prompt using the Rodin Gen-2.5 API. You can choose between different quality modes (Fast, Regular, or Extreme-High) to balance generation speed and output quality. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | Max 2500 characters | Text prompt describing the 3D model you want to generate. | -| `mode` | COMBO | Yes | `"Fast"`
`"Regular"`
`"Extreme-High"` | The generation quality and speed mode. "Fast" is quickest, "Extreme-High" produces the highest quality but takes longer. | -| `material` | COMBO | Yes | `"PBR"`
`"Matte"`
`"Shiny"` | The material style for the generated 3D model. | -| `geometry_file_format` | COMBO | Yes | `"glb"`
`"obj"`
`"stl"`
`"usdz"` | The file format for the output 3D model. | -| `texture_mode` | COMBO | Yes | `"None"`
`"Generated"`
`"Generated+HD"` | Texture generation mode. "None" produces no textures, "Generated" creates standard textures, "Generated+HD" creates high-definition textures. | -| `seed` | INT | Yes | 0 to 2147483647 | Random seed for reproducible results. Using the same seed with the same inputs will produce the same output. | -| `TAPose` | BOOLEAN | Yes | True / False | Whether to apply T-pose (arms outstretched) to the generated model. | -| `hd_texture` | BOOLEAN | Yes | True / False | Whether to generate high-definition textures for the model. | -| `texture_delight` | BOOLEAN | Yes | True / False | Whether to apply texture delight (enhanced texture quality) to the model. | -| `addon_highpack` | BOOLEAN | Yes | True / False | Whether to generate a high-polygon version of the model in addition to the standard one. | -| `bbox_width` | INT | Yes | 1 to 1000 | The width of the bounding box in world units. | -| `bbox_height` | INT | Yes | 1 to 1000 | The height of the bounding box in world units. | -| `bbox_length` | INT | Yes | 1 to 1000 | The length of the bounding box in world units. | -| `height_cm` | INT | Yes | 1 to 300 | The height of the generated model in centimeters. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt describing the 3D model you want to generate. | STRING | Yes | Max 2500 characters | +| `mode` | The generation quality and speed mode. "Fast" is quickest, "Extreme-High" produces the highest quality but takes longer. | COMBO | Yes | `"Fast"`
`"Regular"`
`"Extreme-High"` | +| `material` | The material style for the generated 3D model. | COMBO | Yes | `"PBR"`
`"Matte"`
`"Shiny"` | +| `geometry_file_format` | The file format for the output 3D model. | COMBO | Yes | `"glb"`
`"obj"`
`"stl"`
`"usdz"` | +| `texture_mode` | Texture generation mode. "None" produces no textures, "Generated" creates standard textures, "Generated+HD" creates high-definition textures. | COMBO | Yes | `"None"`
`"Generated"`
`"Generated+HD"` | +| `seed` | Random seed for reproducible results. Using the same seed with the same inputs will produce the same output. | INT | Yes | 0 to 2147483647 | +| `TAPose` | Whether to apply T-pose (arms outstretched) to the generated model. | BOOLEAN | Yes | True / False | +| `hd_texture` | Whether to generate high-definition textures for the model. | BOOLEAN | Yes | True / False | +| `texture_delight` | Whether to apply texture delight (enhanced texture quality) to the model. | BOOLEAN | Yes | True / False | +| `addon_highpack` | Whether to generate a high-polygon version of the model in addition to the standard one. | BOOLEAN | Yes | True / False | +| `bbox_width` | The width of the bounding box in world units. | INT | Yes | 1 to 1000 | +| `bbox_height` | The height of the bounding box in world units. | INT | Yes | 1 to 1000 | +| `bbox_length` | The length of the bounding box in world units. | INT | Yes | 1 to 1000 | +| `height_cm` | The height of the generated model in centimeters. | INT | Yes | 1 to 300 | **Note:** The `prompt` parameter must be between 1 and 2500 characters long. The `seed` parameter defaults to 0 (random) if not specified. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | FILE3DANY | The generated 3D model file in the specified format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The generated 3D model file in the specified format. | FILE3DANY | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/en.md) --- **Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db` diff --git a/built-in-nodes/Rodin3D_Regular.mdx b/built-in-nodes/Rodin3D_Regular.mdx index 0679df720..05843bfd4 100644 --- a/built-in-nodes/Rodin3D_Regular.mdx +++ b/built-in-nodes/Rodin3D_Regular.mdx @@ -5,27 +5,27 @@ sidebarTitle: "Rodin3D_Regular" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Regular/en.md) - The Rodin 3D Regular node generates 3D assets using the Rodin API. It takes input images and processes them through the Rodin service to create 3D models. The node handles the entire workflow from task creation to downloading the final 3D model files. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | Yes | - | Input images used for 3D model generation. Up to 5 images can be provided. | -| `Seed` | INT | No | 0 to 65535 | Random seed value for reproducible results (default: 0). | -| `Material_Type` | STRING | No | `"PBR"`
`"Shaded"` | Type of material to apply to the 3D model (default: "PBR"). | -| `Polygon_count` | STRING | No | `"4K-Quad"`
`"8K-Quad"`
`"18K-Quad"`
`"50K-Quad"`
`"200K-Triangle"` | Target polygon count and mesh type for the generated 3D model (default: "18K-Quad"). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `Images` | Input images used for 3D model generation. Up to 5 images can be provided. | IMAGE | Yes | - | +| `Seed` | Random seed value for reproducible results (default: 0). | INT | No | 0 to 65535 | +| `Material_Type` | Type of material to apply to the 3D model (default: "PBR"). | STRING | No | `"PBR"`
`"Shaded"` | +| `Polygon_count` | Target polygon count and mesh type for the generated 3D model (default: "18K-Quad"). | STRING | No | `"4K-Quad"`
`"8K-Quad"`
`"18K-Quad"`
`"50K-Quad"`
`"200K-Triangle"` | **Note:** At least 1 image is required for 3D model generation. A maximum of 5 images can be provided. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `3D Model Path` | STRING | File path to the generated 3D model (maintained for backward compatibility). | -| `GLB` | FILE3DGLB | The generated 3D model in GLB format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `3D Model Path` | File path to the generated 3D model (maintained for backward compatibility). | STRING | +| `GLB` | The generated 3D model in GLB format. | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Regular/en.md) --- **Source fingerprint (SHA-256):** `5d65be9cb92da615690df5665ca02c98e98e95510e002502a33fd869c31e7419` diff --git a/built-in-nodes/Rodin3D_Sketch.mdx b/built-in-nodes/Rodin3D_Sketch.mdx index 1edb1678c..f96aed3f3 100644 --- a/built-in-nodes/Rodin3D_Sketch.mdx +++ b/built-in-nodes/Rodin3D_Sketch.mdx @@ -5,25 +5,25 @@ sidebarTitle: "Rodin3D_Sketch" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md) - This node generates 3D assets using the Rodin API. It takes input images and converts them into 3D models through an external service. The node handles the entire process from task creation to downloading the final 3D model files. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | Yes | 1 to 5 images | Input images to be converted into 3D models. You can provide between 1 and 5 images. | -| `Seed` | INT | No | 0 to 65535 | Random seed value for generation (default: 0). Set to 0 for a random seed. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `Images` | Input images to be converted into 3D models. You can provide between 1 and 5 images. | IMAGE | Yes | 1 to 5 images | +| `Seed` | Random seed value for generation (default: 0). Set to 0 for a random seed. | INT | No | 0 to 65535 | **Note:** The node requires at least 1 image and supports a maximum of 5 images. If no images are provided, the node will raise an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `3D Model Path` | STRING | File path to the generated 3D model (for backward compatibility only) | -| `GLB` | FILE3DGLB | The generated 3D model in GLB format | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `3D Model Path` | File path to the generated 3D model (for backward compatibility only) | STRING | +| `GLB` | The generated 3D model in GLB format | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md) --- **Source fingerprint (SHA-256):** `7030e6966a13b62055a17fc1eb39f34aa228fa37bbdcf7c2d5dbbbc1ca96c819` diff --git a/built-in-nodes/Rodin3D_Smooth.mdx b/built-in-nodes/Rodin3D_Smooth.mdx index 9342daccd..995f7b2c2 100644 --- a/built-in-nodes/Rodin3D_Smooth.mdx +++ b/built-in-nodes/Rodin3D_Smooth.mdx @@ -5,27 +5,27 @@ sidebarTitle: "Rodin3D_Smooth" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md) - The Rodin 3D Smooth node generates 3D assets using the Rodin API by processing input images and converting them into smooth 3D models. It takes multiple images as input and produces a downloadable 3D model file. The node handles the entire generation process including task creation, status polling, and file downloading automatically. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | Yes | - | Input images to use for 3D model generation. Multiple images can be provided (up to 5). | -| `Seed` | INT | No | 0 to 65535 | Random seed value for generation consistency (default: 0). | -| `Material_Type` | STRING | No | "PBR"
"Shaded" | Type of material to apply to the 3D model (default: "PBR"). | -| `Polygon_count` | STRING | No | "4K-Quad"
"8K-Quad"
"18K-Quad"
"50K-Quad"
"200K-Triangle" | Target polygon count for the generated 3D model. Determines the mesh quality and detail level (default: "18K-Quad"). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `Images` | Input images to use for 3D model generation. Multiple images can be provided (up to 5). | IMAGE | Yes | - | +| `Seed` | Random seed value for generation consistency (default: 0). | INT | No | 0 to 65535 | +| `Material_Type` | Type of material to apply to the 3D model (default: "PBR"). | STRING | No | "PBR"
"Shaded" | +| `Polygon_count` | Target polygon count for the generated 3D model. Determines the mesh quality and detail level (default: "18K-Quad"). | STRING | No | "4K-Quad"
"8K-Quad"
"18K-Quad"
"50K-Quad"
"200K-Triangle" | **Note:** The node accepts up to 5 input images. If no images are provided, an error will be raised. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `3D Model Path` | STRING | File path to the downloaded 3D model (for backward compatibility only). | -| `GLB` | FILE3DGLB | The generated 3D model in GLB format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `3D Model Path` | File path to the downloaded 3D model (for backward compatibility only). | STRING | +| `GLB` | The generated 3D model in GLB format. | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md) --- **Source fingerprint (SHA-256):** `60a5d70fa095b46f221ce452e290739852b1ebeba34ab7ec21b0b4e3c8e6d164` diff --git a/built-in-nodes/RunwayFirstLastFrameNode.mdx b/built-in-nodes/RunwayFirstLastFrameNode.mdx index 4b870449a..8e854b5a1 100644 --- a/built-in-nodes/RunwayFirstLastFrameNode.mdx +++ b/built-in-nodes/RunwayFirstLastFrameNode.mdx @@ -5,20 +5,18 @@ sidebarTitle: "RunwayFirstLastFrameNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/en.md) - The Runway First-Last-Frame to Video node generates videos by uploading first and last keyframes along with a text prompt. It creates smooth transitions between the provided start and end frames using Runway's Gen-3 model. This is particularly useful for complex transitions where the end frame differs significantly from the start frame. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text prompt for the generation (default: empty string) | -| `start_frame` | IMAGE | Yes | N/A | Start frame to be used for the video | -| `end_frame` | IMAGE | Yes | N/A | End frame to be used for the video. Supported for gen3a_turbo only. | -| `duration` | COMBO | Yes | `"5"`
`"10"` | Video duration in seconds (default: "5") | -| `ratio` | COMBO | Yes | `"768:1280"`
`"1280:768"` | Aspect ratio for the generated video (default: "768:1280") | -| `seed` | INT | No | 0 to 4294967295 | Random seed for generation. Set to 0 for random seed (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt for the generation (default: empty string) | STRING | Yes | N/A | +| `start_frame` | Start frame to be used for the video | IMAGE | Yes | N/A | +| `end_frame` | End frame to be used for the video. Supported for gen3a_turbo only. | IMAGE | Yes | N/A | +| `duration` | Video duration in seconds (default: "5") | COMBO | Yes | `"5"`
`"10"` | +| `ratio` | Aspect ratio for the generated video (default: "768:1280") | COMBO | Yes | `"768:1280"`
`"1280:768"` | +| `seed` | Random seed for generation. Set to 0 for random seed (default: 0). | INT | No | 0 to 4294967295 | **Parameter Constraints:** @@ -29,9 +27,11 @@ The Runway First-Last-Frame to Video node generates videos by uploading first an ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video transitioning between the start and end frames | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video transitioning between the start and end frames | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/en.md) --- **Source fingerprint (SHA-256):** `a2d4839bf30bff3e3199a18129eb32c8495b8ea0c9ce209e9b3d00574de35399` diff --git a/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx b/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx index 26f689b00..1904afae7 100644 --- a/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx +++ b/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx @@ -5,19 +5,17 @@ sidebarTitle: "RunwayImageToVideoNodeGen3a" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/en.md) - The Runway Image to Video (Gen3a Turbo) node generates a video from a single starting frame using Runway's Gen3a Turbo model. It takes a text prompt and an initial image frame, then creates a video sequence based on the specified duration and aspect ratio. This node connects to Runway's API to process the generation remotely. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text prompt for the generation (default: "") | -| `start_frame` | IMAGE | Yes | N/A | Start frame to be used for the video | -| `duration` | COMBO | Yes | `"5"`
`"10"` | Video duration in seconds (default: "5") | -| `ratio` | COMBO | Yes | `"768:1280"`
`"1280:768"` | Aspect ratio of the generated video (default: "768:1280") | -| `seed` | INT | No | 0 to 4294967295 | Random seed for generation (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt for the generation (default: "") | STRING | Yes | N/A | +| `start_frame` | Start frame to be used for the video | IMAGE | Yes | N/A | +| `duration` | Video duration in seconds (default: "5") | COMBO | Yes | `"5"`
`"10"` | +| `ratio` | Aspect ratio of the generated video (default: "768:1280") | COMBO | Yes | `"768:1280"`
`"1280:768"` | +| `seed` | Random seed for generation (default: 0) | INT | No | 0 to 4294967295 | **Parameter Constraints:** @@ -27,9 +25,11 @@ The Runway Image to Video (Gen3a Turbo) node generates a video from a single sta ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video sequence | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video sequence | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/en.md) --- **Source fingerprint (SHA-256):** `ff88d2486746ab3ddf1b7a0c3184c54abd6bcb01e9743bc04c93e9c3a9e8d9ff` diff --git a/built-in-nodes/RunwayImageToVideoNodeGen4.mdx b/built-in-nodes/RunwayImageToVideoNodeGen4.mdx index 3b735054f..9d32c81db 100644 --- a/built-in-nodes/RunwayImageToVideoNodeGen4.mdx +++ b/built-in-nodes/RunwayImageToVideoNodeGen4.mdx @@ -5,19 +5,17 @@ sidebarTitle: "RunwayImageToVideoNodeGen4" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/en.md) - The Runway Image to Video (Gen4 Turbo) node generates a video from a single starting frame using Runway's Gen4 Turbo model. It takes a text prompt and an initial image frame, then creates a video sequence based on the provided duration and aspect ratio settings. The node handles uploading the starting frame to Runway's API and returns the generated video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Text prompt for the generation (default: empty string) | -| `start_frame` | IMAGE | Yes | - | Start frame to be used for the video | -| `duration` | COMBO | Yes | `"5"`
`"10"` | Video duration in seconds (default: "5") | -| `ratio` | COMBO | Yes | `"1280:720"`
`"720:1280"`
`"1104:832"`
`"832:1104"`
`"960:960"`
`"1584:672"` | Aspect ratio for the generated video (default: "1280:720") | -| `seed` | INT | No | 0 to 4294967295 | Random seed for generation (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt for the generation (default: empty string) | STRING | Yes | - | +| `start_frame` | Start frame to be used for the video | IMAGE | Yes | - | +| `duration` | Video duration in seconds (default: "5") | COMBO | Yes | `"5"`
`"10"` | +| `ratio` | Aspect ratio for the generated video (default: "1280:720") | COMBO | Yes | `"1280:720"`
`"720:1280"`
`"1104:832"`
`"832:1104"`
`"960:960"`
`"1584:672"` | +| `seed` | Random seed for generation (default: 0) | INT | No | 0 to 4294967295 | **Parameter Constraints:** @@ -27,9 +25,11 @@ The Runway Image to Video (Gen4 Turbo) node generates a video from a single star ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video based on the input frame and prompt | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video based on the input frame and prompt | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/en.md) --- **Source fingerprint (SHA-256):** `0b5a2c351277b8c2247b4625fd030dd6f4de8dafd92f59a969575db1ba2f7fe9` diff --git a/built-in-nodes/RunwayTextToImageNode.mdx b/built-in-nodes/RunwayTextToImageNode.mdx index 7c9a63130..500f003b3 100644 --- a/built-in-nodes/RunwayTextToImageNode.mdx +++ b/built-in-nodes/RunwayTextToImageNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "RunwayTextToImageNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayTextToImageNode/en.md) - The Runway Text to Image node generates images from text prompts using Runway's Gen 4 model. You can provide a text description and optionally include a reference image to guide the image generation process. The node handles the API communication and returns the generated image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Text prompt for the generation (default: "") | -| `ratio` | COMBO | Yes | "16:9"
"1:1"
"21:9"
"2:3"
"3:2"
"4:5"
"5:4"
"9:16"
"9:21" | Aspect ratio for the generated image | -| `reference_image` | IMAGE | No | - | Optional reference image to guide the generation | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt for the generation (default: "") | STRING | Yes | - | +| `ratio` | Aspect ratio for the generated image | COMBO | Yes | "16:9"
"1:1"
"21:9"
"2:3"
"3:2"
"4:5"
"5:4"
"9:16"
"9:21" | +| `reference_image` | Optional reference image to guide the generation | IMAGE | No | - | **Note:** The reference image must have dimensions not exceeding 7999x7999 pixels and an aspect ratio between 0.5 and 2.0. When a reference image is provided, it guides the image generation process. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The generated image based on the text prompt and optional reference image | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated image based on the text prompt and optional reference image | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayTextToImageNode/en.md) --- **Source fingerprint (SHA-256):** `212eec9ae7ae3df06cefacae361cfd1f623ea7b6b1ca0e4beb4f5b7df76226e5` diff --git a/built-in-nodes/SAM3_Detect.mdx b/built-in-nodes/SAM3_Detect.mdx index fd1929373..7569abb22 100644 --- a/built-in-nodes/SAM3_Detect.mdx +++ b/built-in-nodes/SAM3_Detect.mdx @@ -5,8 +5,6 @@ sidebarTitle: "SAM3_Detect" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_Detect/en.md) - # SAM3 Detect Node ## Overview @@ -15,17 +13,17 @@ The SAM3 Detect node performs open-vocabulary detection and segmentation using t ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The SAM3 model to use for detection and segmentation | -| `image` | IMAGE | Yes | - | The input image to process | -| `conditioning` | CONDITIONING | No | - | Text conditioning from CLIPTextEncode. Required when using text prompts for detection | -| `bboxes` | BOUNDING_BOX | No | - | Bounding boxes to segment within. Can be a single box (applied to all frames), a list of boxes (applied to all frames), or a list of lists (per-frame boxes). When provided without text conditioning, the node segments inside each box | -| `positive_coords` | STRING | No | - | Positive point prompts as JSON format `[{"x": int, "y": int}, ...]` using pixel coordinates. These are points you want to include in the segmentation | -| `negative_coords` | STRING | No | - | Negative point prompts as JSON format `[{"x": int, "y": int}, ...]` using pixel coordinates. These are points you want to exclude from the segmentation | -| `threshold` | FLOAT | No | 0.0 to 1.0 | Confidence threshold for text-based detections. Only detections with scores above this value are kept (default: 0.5) | -| `refine_iterations` | INT | No | 0 to 5 | Number of SAM decoder refinement passes. Higher values can improve mask quality. Set to 0 to use raw detector masks without refinement (default: 2) | -| `individual_masks` | BOOLEAN | No | True/False | When enabled, outputs separate masks for each detected object instead of combining them into a single mask (default: False) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The SAM3 model to use for detection and segmentation | MODEL | Yes | - | +| `image` | The input image to process | IMAGE | Yes | - | +| `conditioning` | Text conditioning from CLIPTextEncode. Required when using text prompts for detection | CONDITIONING | No | - | +| `bboxes` | Bounding boxes to segment within. Can be a single box (applied to all frames), a list of boxes (applied to all frames), or a list of lists (per-frame boxes). When provided without text conditioning, the node segments inside each box | BOUNDING_BOX | No | - | +| `positive_coords` | Positive point prompts as JSON format `[{"x": int, "y": int}, ...]` using pixel coordinates. These are points you want to include in the segmentation | STRING | No | - | +| `negative_coords` | Negative point prompts as JSON format `[{"x": int, "y": int}, ...]` using pixel coordinates. These are points you want to exclude from the segmentation | STRING | No | - | +| `threshold` | Confidence threshold for text-based detections. Only detections with scores above this value are kept (default: 0.5) | FLOAT | No | 0.0 to 1.0 | +| `refine_iterations` | Number of SAM decoder refinement passes. Higher values can improve mask quality. Set to 0 to use raw detector masks without refinement (default: 2) | INT | No | 0 to 5 | +| `individual_masks` | When enabled, outputs separate masks for each detected object instead of combining them into a single mask (default: False) | BOOLEAN | No | True/False | ### Parameter Constraints and Notes @@ -38,10 +36,12 @@ The SAM3 Detect node performs open-vocabulary detection and segmentation using t ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `masks` | MASK | Segmentation masks. When `individual_masks` is False (default), returns a single combined mask per frame. When True, returns individual masks for each detected object | -| `bboxes` | BOUNDING_BOX | Detected bounding boxes with coordinates and confidence scores. Each box includes `x`, `y`, `width`, `height`, and `score` values | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `masks` | Segmentation masks. When `individual_masks` is False (default), returns a single combined mask per frame. When True, returns individual masks for each detected object | MASK | +| `bboxes` | Detected bounding boxes with coordinates and confidence scores. Each box includes `x`, `y`, `width`, `height`, and `score` values | BOUNDING_BOX | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_Detect/en.md) --- **Source fingerprint (SHA-256):** `3f61343c284c249476f2010831863c6094260b11d0a348003b270a126c67d399` diff --git a/built-in-nodes/SAM3_TrackPreview.mdx b/built-in-nodes/SAM3_TrackPreview.mdx index d756c5e94..ce8195c23 100644 --- a/built-in-nodes/SAM3_TrackPreview.mdx +++ b/built-in-nodes/SAM3_TrackPreview.mdx @@ -5,26 +5,26 @@ sidebarTitle: "SAM3_TrackPreview" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackPreview/en.md) - ## Overview This node creates a video preview of tracked objects, drawing each tracked object with a distinct color overlay and a number label. It does not output any image or video tensors — instead, it saves the resulting preview video directly to a temporary file. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `track_data` | TRACK_DATA | Yes | - | The tracking data containing packed masks and object information from a SAM3 tracking node. | -| `images` | IMAGE | No | - | Optional input images to use as the background for the preview. If not provided, a black background is used. | -| `opacity` | FLOAT | No | 0.0 to 1.0 (step: 0.05) | The opacity of the color overlay applied to tracked objects (default: 0.5). | -| `fps` | FLOAT | No | 1.0 to 120.0 (step: 1.0) | The frame rate of the output video (default: 24.0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `track_data` | The tracking data containing packed masks and object information from a SAM3 tracking node. | TRACK_DATA | Yes | - | +| `images` | Optional input images to use as the background for the preview. If not provided, a black background is used. | IMAGE | No | - | +| `opacity` | The opacity of the color overlay applied to tracked objects (default: 0.5). | FLOAT | No | 0.0 to 1.0 (step: 0.05) | +| `fps` | The frame rate of the output video (default: 24.0). | FLOAT | No | 1.0 to 120.0 (step: 1.0) | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `ui` | PREVIEW_VIDEO | A UI element that displays the generated preview video. No tensor data is returned. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `ui` | A UI element that displays the generated preview video. No tensor data is returned. | PREVIEW_VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackPreview/en.md) --- **Source fingerprint (SHA-256):** `76389f354c8acdf249137d966765069d530034a0f8eeb39d769bde3c0f7a1bd0` diff --git a/built-in-nodes/SAM3_TrackToMask.mdx b/built-in-nodes/SAM3_TrackToMask.mdx index 8ba43df8f..f887dfd1a 100644 --- a/built-in-nodes/SAM3_TrackToMask.mdx +++ b/built-in-nodes/SAM3_TrackToMask.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SAM3_TrackToMask" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackToMask/en.md) - ## Overview Selects specific tracked objects from a SAM3 tracking session by their index numbers and combines them into a single output mask. This allows you to choose which objects to keep and which to ignore from the tracking results. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `track_data` | SAM3TRACKDATA | Yes | N/A | The tracking data output from a SAM3 tracker node, containing the packed masks and original image size. | -| `object_indices` | STRING | No | Any comma-separated list of integers | Comma-separated object indices to include in the output mask (e.g., '0,2,3'). If left empty, all tracked objects are included. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `track_data` | The tracking data output from a SAM3 tracker node, containing the packed masks and original image size. | SAM3TRACKDATA | Yes | N/A | +| `object_indices` | Comma-separated object indices to include in the output mask (e.g., '0,2,3'). If left empty, all tracked objects are included. | STRING | No | Any comma-separated list of integers | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `masks` | MASK | A single binary mask for each frame, where selected objects are combined into one mask. If no objects are selected or no tracking data exists, returns a zero mask. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `masks` | A single binary mask for each frame, where selected objects are combined into one mask. If no objects are selected or no tracking data exists, returns a zero mask. | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackToMask/en.md) --- **Source fingerprint (SHA-256):** `77c9f5142f2078fabb81e58979df01ad9ec41d3de953939570bebb4f2687f8ad` diff --git a/built-in-nodes/SAM3_VideoTrack.mdx b/built-in-nodes/SAM3_VideoTrack.mdx index 9cf2ed4d7..948a88457 100644 --- a/built-in-nodes/SAM3_VideoTrack.mdx +++ b/built-in-nodes/SAM3_VideoTrack.mdx @@ -5,31 +5,31 @@ sidebarTitle: "SAM3_VideoTrack" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_VideoTrack/en.md) - ## Overview Track objects across video frames using SAM3's memory-based tracker. This node processes a sequence of video frames and maintains object identities across frames, using either initial masks or text prompts to define what to track. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | Batched video frames | Video frames as batched images | -| `model` | MODEL | Yes | SAM3 model | The SAM3 model to use for tracking | -| `initial_mask` | MASK | No | One mask per object | Mask(s) for the first frame to track (one per object). Required if `conditioning` is not provided. | -| `conditioning` | CONDITIONING | No | Text conditioning | Text conditioning for detecting new objects during tracking. Required if `initial_mask` is not provided. | -| `detection_threshold` | FLOAT | No | 0.0 to 1.0 (default: 0.5) | Score threshold for text-prompted detection | -| `max_objects` | INT | No | 0 to 64 (default: 0) | Max tracked objects. Initial masks count toward this limit. 0 uses the internal cap of 64. | -| `detect_interval` | INT | No | 1 to unlimited (default: 1) | Run detection every N frames (1=every frame). Higher values save compute. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | Video frames as batched images | IMAGE | Yes | Batched video frames | +| `model` | The SAM3 model to use for tracking | MODEL | Yes | SAM3 model | +| `initial_mask` | Mask(s) for the first frame to track (one per object). Required if `conditioning` is not provided. | MASK | No | One mask per object | +| `conditioning` | Text conditioning for detecting new objects during tracking. Required if `initial_mask` is not provided. | CONDITIONING | No | Text conditioning | +| `detection_threshold` | Score threshold for text-prompted detection | FLOAT | No | 0.0 to 1.0 (default: 0.5) | +| `max_objects` | Max tracked objects. Initial masks count toward this limit. 0 uses the internal cap of 64. | INT | No | 0 to 64 (default: 0) | +| `detect_interval` | Run detection every N frames (1=every frame). Higher values save compute. | INT | No | 1 to unlimited (default: 1) | **Note:** Either `initial_mask` or `conditioning` must be provided. If both are omitted, the node will raise an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `track_data` | SAM3TrackData | Tracking data containing object masks and metadata across all video frames | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `track_data` | Tracking data containing object masks and metadata across all video frames | SAM3TrackData | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_VideoTrack/en.md) --- **Source fingerprint (SHA-256):** `36ee256c46ea3816be4d06b64d945b79af530032f29e5e4c8741971c7ebf9fae` diff --git a/built-in-nodes/SDPoseDrawKeypoints.mdx b/built-in-nodes/SDPoseDrawKeypoints.mdx index ce9cbd801..d41fe5e9d 100644 --- a/built-in-nodes/SDPoseDrawKeypoints.mdx +++ b/built-in-nodes/SDPoseDrawKeypoints.mdx @@ -5,30 +5,30 @@ sidebarTitle: "SDPoseDrawKeypoints" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseDrawKeypoints/en.md) - The SDPoseDrawKeypoints node takes pose estimation data (keypoints) and draws them as a visual skeleton on a blank canvas. It allows you to selectively draw different parts of the pose, such as the body, hands, face, and feet, with customizable line widths and point sizes. The resulting image can be used for visualization or as input for other nodes that require a pose image. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `keypoints` | POSE_KEYPOINT | Yes | - | The pose keypoint data to be drawn. This data typically comes from a pose detection node. | -| `draw_body` | BOOLEAN | No | - | Controls whether the main body skeleton is drawn (default: True). | -| `draw_hands` | BOOLEAN | No | - | Controls whether the hand keypoints are drawn (default: True). | -| `draw_face` | BOOLEAN | No | - | Controls whether the face keypoints are drawn (default: True). | -| `draw_feet` | BOOLEAN | No | - | Controls whether the foot keypoints are drawn (default: False). | -| `stick_width` | INT | No | 1 to 10 | The width of the lines used to draw the body skeleton (default: 4). | -| `face_point_size` | INT | No | 1 to 10 | The size of the points used to draw the face keypoints (default: 3). | -| `score_threshold` | FLOAT | No | 0.0 to 1.0 | The minimum confidence score a keypoint must have to be drawn. Keypoints with scores below this value are ignored (default: 0.3). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `keypoints` | The pose keypoint data to be drawn. This data typically comes from a pose detection node. | POSE_KEYPOINT | Yes | - | +| `draw_body` | Controls whether the main body skeleton is drawn (default: True). | BOOLEAN | No | - | +| `draw_hands` | Controls whether the hand keypoints are drawn (default: True). | BOOLEAN | No | - | +| `draw_face` | Controls whether the face keypoints are drawn (default: True). | BOOLEAN | No | - | +| `draw_feet` | Controls whether the foot keypoints are drawn (default: False). | BOOLEAN | No | - | +| `stick_width` | The width of the lines used to draw the body skeleton (default: 4). | INT | No | 1 to 10 | +| `face_point_size` | The size of the points used to draw the face keypoints (default: 3). | INT | No | 1 to 10 | +| `score_threshold` | The minimum confidence score a keypoint must have to be drawn. Keypoints with scores below this value are ignored (default: 0.3). | FLOAT | No | 0.0 to 1.0 | **Note:** If the `keypoints` input is empty or `None`, the node will output a blank 64x64 image. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | An image with the drawn pose keypoints. The image dimensions match the `canvas_height` and `canvas_width` specified in the input keypoint data. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | An image with the drawn pose keypoints. The image dimensions match the `canvas_height` and `canvas_width` specified in the input keypoint data. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseDrawKeypoints/en.md) --- **Source fingerprint (SHA-256):** `09b91930bd88c64aefe32b2b742562537408a13882ad59398fb2e8bcd12fa4eb` diff --git a/built-in-nodes/SDPoseFaceBBoxes.mdx b/built-in-nodes/SDPoseFaceBBoxes.mdx index ac9caef84..d5bb3b3ff 100644 --- a/built-in-nodes/SDPoseFaceBBoxes.mdx +++ b/built-in-nodes/SDPoseFaceBBoxes.mdx @@ -5,25 +5,25 @@ sidebarTitle: "SDPoseFaceBBoxes" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseFaceBBoxes/en.md) - The SDPoseFaceBBoxes node processes pose keypoint data to detect and generate bounding boxes around human faces. It analyzes the 2D face keypoints for each person in a frame, calculates a bounding box based on those points, and can adjust the box's size and shape. The resulting bounding boxes are formatted to be compatible with other nodes in the SDPose workflow, such as the SDPoseKeypointExtractor. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `keypoints` | POSE_KEYPOINT | Yes | - | The pose keypoint data containing information about detected people and their body/face landmarks per frame. | -| `scale` | FLOAT | No | 1.0 - 10.0 | Multiplier for the bounding box area around each detected face. A larger value creates a larger box. (default: 1.5) | -| `force_square` | BOOLEAN | No | - | Expand the shorter bbox axis so the crop region is always square. (default: True) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `keypoints` | The pose keypoint data containing information about detected people and their body/face landmarks per frame. | POSE_KEYPOINT | Yes | - | +| `scale` | Multiplier for the bounding box area around each detected face. A larger value creates a larger box. (default: 1.5) | FLOAT | No | 1.0 - 10.0 | +| `force_square` | Expand the shorter bbox axis so the crop region is always square. (default: True) | BOOLEAN | No | - | **Note:** The `keypoints` input must be in the specific format produced by nodes like SDPoseKeypointExtractor, containing `canvas_height`, `canvas_width`, and `people` data with `face_keypoints_2d` for each person. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `bboxes` | BOUNDINGBOX | A list of face bounding boxes for each frame. Each bounding box is defined by its top-left coordinates (`x`, `y`), `width`, and `height`. This output is compatible with the `bboxes` input of the SDPoseKeypointExtractor node. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `bboxes` | A list of face bounding boxes for each frame. Each bounding box is defined by its top-left coordinates (`x`, `y`), `width`, and `height`. This output is compatible with the `bboxes` input of the SDPoseKeypointExtractor node. | BOUNDINGBOX | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseFaceBBoxes/en.md) --- **Source fingerprint (SHA-256):** `dc68640f46afcba4c10a907fd9467671d508cd5bac7670b35a038d159f9d8f50` diff --git a/built-in-nodes/SDPoseKeypointExtractor.mdx b/built-in-nodes/SDPoseKeypointExtractor.mdx index 48c38319f..74e7f47f5 100644 --- a/built-in-nodes/SDPoseKeypointExtractor.mdx +++ b/built-in-nodes/SDPoseKeypointExtractor.mdx @@ -5,19 +5,17 @@ sidebarTitle: "SDPoseKeypointExtractor" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseKeypointExtractor/en.md) - The SDPoseKeypointExtractor node detects human pose keypoints from input images using the SDPose model. It can process full images or specific regions defined by bounding boxes and outputs the detected keypoints in the OpenPose format, which includes the coordinates for each person and a confidence score for each keypoint. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The SDPose model used for keypoint detection. Must be a model with a `heatmap_head` attribute, specifically from the SDPose repository. | -| `vae` | VAE | Yes | - | The VAE model used to encode the input images into the latent space for processing. | -| `image` | IMAGE | Yes | - | The input image or batch of images from which to extract pose keypoints. | -| `batch_size` | INT | No | 1 to 10000 | The number of images to process at once when running in full-image mode (i.e., when `bboxes` is not provided). This can speed up processing. (default: 16) | -| `bboxes` | BOUNDINGBOX | No | - | Optional bounding boxes for more accurate detections. Required for multi-person detection. If provided, the node will extract keypoints from each specified region. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The SDPose model used for keypoint detection. Must be a model with a `heatmap_head` attribute, specifically from the SDPose repository. | MODEL | Yes | - | +| `vae` | The VAE model used to encode the input images into the latent space for processing. | VAE | Yes | - | +| `image` | The input image or batch of images from which to extract pose keypoints. | IMAGE | Yes | - | +| `batch_size` | The number of images to process at once when running in full-image mode (i.e., when `bboxes` is not provided). This can speed up processing. (default: 16) | INT | No | 1 to 10000 | +| `bboxes` | Optional bounding boxes for more accurate detections. Required for multi-person detection. If provided, the node will extract keypoints from each specified region. | BOUNDINGBOX | No | - | **Parameter Constraints:** * The `model` input must be a specific SDPose model. If the provided model does not have a `heatmap_head` attribute, the node will raise an error. @@ -29,9 +27,11 @@ The SDPoseKeypointExtractor node detects human pose keypoints from input images ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `keypoints` | POSE_KEYPOINT | Keypoints in OpenPose frame format (canvas_width, canvas_height, people). The output contains the detected persons, each with an array of keypoint coordinates (x, y) and their corresponding confidence scores. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `keypoints` | Keypoints in OpenPose frame format (canvas_width, canvas_height, people). The output contains the detected persons, each with an array of keypoint coordinates (x, y) and their corresponding confidence scores. | POSE_KEYPOINT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseKeypointExtractor/en.md) --- **Source fingerprint (SHA-256):** `5e199e9d08a46d934c6d1f4b1a411f0ca95eb5e7f85ec39f59a058c9be598e9f` diff --git a/built-in-nodes/SDTurboScheduler.mdx b/built-in-nodes/SDTurboScheduler.mdx index 3a808b9e3..3a7a51f62 100644 --- a/built-in-nodes/SDTurboScheduler.mdx +++ b/built-in-nodes/SDTurboScheduler.mdx @@ -5,19 +5,20 @@ sidebarTitle: "SDTurboScheduler" icon: "circle" mode: wide --- - SDTurboScheduler is designed to generate a sequence of sigma values for image sampling, adjusting the sequence based on the denoise level and the number of steps specified. It leverages a specific model's sampling capabilities to produce these sigma values, which are crucial for controlling the denoising process during image generation. ## Inputs -| Parameter | Data Type | Description | +| Parameter | Description | Data Type | | --- | --- | --- | -| `model` | `MODEL` | The model parameter specifies the generative model to be used for sigma value generation. It is crucial for determining the specific sampling behavior and capabilities of the scheduler. | -| `steps` | `INT` | The steps parameter determines the length of the sigma sequence to be generated, directly influencing the granularity of the denoising process. | -| `denoise` | `FLOAT` | The denoise parameter adjusts the starting point of the sigma sequence, allowing for finer control over the denoising level applied during image generation. | +| `model` | The model parameter specifies the generative model to be used for sigma value generation. It is crucial for determining the specific sampling behavior and capabilities of the scheduler. | `MODEL` | +| `steps` | The steps parameter determines the length of the sigma sequence to be generated, directly influencing the granularity of the denoising process. | `INT` | +| `denoise` | The denoise parameter adjusts the starting point of the sigma sequence, allowing for finer control over the denoising level applied during image generation. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | +| Parameter | Description | Data Type | | --- | --- | --- | -| `sigmas` | `SIGMAS` | A sequence of sigma values generated based on the specified model, steps, and denoise level. These values are essential for controlling the denoising process in image generation. | +| `sigmas` | A sequence of sigma values generated based on the specified model, steps, and denoise level. These values are essential for controlling the denoising process in image generation. | `SIGMAS` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDTurboScheduler/en.md) diff --git a/built-in-nodes/SD_4XUpscale_Conditioning.mdx b/built-in-nodes/SD_4XUpscale_Conditioning.mdx index 3854b6c2d..726116918 100644 --- a/built-in-nodes/SD_4XUpscale_Conditioning.mdx +++ b/built-in-nodes/SD_4XUpscale_Conditioning.mdx @@ -5,27 +5,27 @@ sidebarTitle: "SD_4XUpscale_Conditioning" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SD_4XUpscale_Conditioning/en.md) - The SD_4XUpscale_Conditioning node prepares conditioning data for upscaling images using diffusion models. It takes input images and conditioning data, then applies scaling and noise augmentation to create modified conditioning that guides the upscaling process. The node outputs both positive and negative conditioning along with latent representations for the upscaled dimensions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | - | Input images to be upscaled | -| `positive` | CONDITIONING | Yes | - | Positive conditioning data that guides the generation toward desired content | -| `negative` | CONDITIONING | Yes | - | Negative conditioning data that steers the generation away from unwanted content | -| `scale_ratio` | FLOAT | No | 0.0 - 10.0 | Scaling factor applied to the input images (default: 4.0) | -| `noise_augmentation` | FLOAT | No | 0.0 - 1.0 | Amount of noise to add during the upscaling process (default: 0.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | Input images to be upscaled | IMAGE | Yes | - | +| `positive` | Positive conditioning data that guides the generation toward desired content | CONDITIONING | Yes | - | +| `negative` | Negative conditioning data that steers the generation away from unwanted content | CONDITIONING | Yes | - | +| `scale_ratio` | Scaling factor applied to the input images (default: 4.0) | FLOAT | No | 0.0 - 10.0 | +| `noise_augmentation` | Amount of noise to add during the upscaling process (default: 0.0) | FLOAT | No | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Modified positive conditioning with upscaling information applied | -| `negative` | CONDITIONING | Modified negative conditioning with upscaling information applied | -| `latent` | LATENT | Empty latent representation matching the upscaled dimensions | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Modified positive conditioning with upscaling information applied | CONDITIONING | +| `negative` | Modified negative conditioning with upscaling information applied | CONDITIONING | +| `latent` | Empty latent representation matching the upscaled dimensions | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SD_4XUpscale_Conditioning/en.md) --- **Source fingerprint (SHA-256):** `06e8e451cc939019e1d7213ab24ff1e4a9937540733194d66edbc5d32d352e16` diff --git a/built-in-nodes/SUPIRApply.mdx b/built-in-nodes/SUPIRApply.mdx index fe8e16c91..f932261c7 100644 --- a/built-in-nodes/SUPIRApply.mdx +++ b/built-in-nodes/SUPIRApply.mdx @@ -5,30 +5,30 @@ sidebarTitle: "SUPIRApply" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SUPIRApply/en.md) - The SUPIRApply node applies a SUPIR model patch to a diffusion model. It uses the patch to modify the model's behavior, allowing it to incorporate guidance from an input image during the sampling process. The node also provides controls for adjusting the strength of this guidance over time and includes an optional feature to help maintain fidelity to the original input. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The base diffusion model to which the SUPIR patch will be applied. | -| `model_patch` | MODELPATCH | Yes | - | The SUPIR model patch containing the weights and configuration for modifying the model. | -| `vae` | VAE | Yes | - | The VAE (Variational Autoencoder) used for encoding the input image into a latent representation. | -| `image` | IMAGE | Yes | - | The input image used to guide the generation process. Only the first three color channels (RGB) are used. | -| `strength_start` | FLOAT | No | 0.0 - 10.0 | Control strength at the start of sampling (high sigma). The influence of the image guidance begins at this value. (default: 1.0) | -| `strength_end` | FLOAT | No | 0.0 - 10.0 | Control strength at the end of sampling (low sigma). Linearly interpolated from start. The influence of the image guidance ends at this value. (default: 1.0) | -| `restore_cfg` | FLOAT | No | 0.0 - 20.0 | Pulls denoised output toward the input latent. Higher = stronger fidelity to input. 0 to disable. (default: 4.0) | -| `restore_cfg_s_tmin` | FLOAT | No | 0.0 - 1.0 | Sigma threshold below which restore_cfg is disabled. (default: 0.05) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The base diffusion model to which the SUPIR patch will be applied. | MODEL | Yes | - | +| `model_patch` | The SUPIR model patch containing the weights and configuration for modifying the model. | MODELPATCH | Yes | - | +| `vae` | The VAE (Variational Autoencoder) used for encoding the input image into a latent representation. | VAE | Yes | - | +| `image` | The input image used to guide the generation process. Only the first three color channels (RGB) are used. | IMAGE | Yes | - | +| `strength_start` | Control strength at the start of sampling (high sigma). The influence of the image guidance begins at this value. (default: 1.0) | FLOAT | No | 0.0 - 10.0 | +| `strength_end` | Control strength at the end of sampling (low sigma). Linearly interpolated from start. The influence of the image guidance ends at this value. (default: 1.0) | FLOAT | No | 0.0 - 10.0 | +| `restore_cfg` | Pulls denoised output toward the input latent. Higher = stronger fidelity to input. 0 to disable. (default: 4.0) | FLOAT | No | 0.0 - 20.0 | +| `restore_cfg_s_tmin` | Sigma threshold below which restore_cfg is disabled. (default: 0.05) | FLOAT | No | 0.0 - 1.0 | *Note:* The `image` input is processed to extract only the RGB channels. If an image with an alpha channel is provided, the alpha channel is ignored. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The diffusion model with the SUPIR patch applied and any additional post-CFG functions configured. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The diffusion model with the SUPIR patch applied and any additional post-CFG functions configured. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SUPIRApply/en.md) --- **Source fingerprint (SHA-256):** `41900f166aa7c0e325da874a3e250c56b94569822292785b1b3165705eb22e0c` diff --git a/built-in-nodes/SV3D_Conditioning.mdx b/built-in-nodes/SV3D_Conditioning.mdx index 6c8878ff0..e909e0a81 100644 --- a/built-in-nodes/SV3D_Conditioning.mdx +++ b/built-in-nodes/SV3D_Conditioning.mdx @@ -5,29 +5,29 @@ sidebarTitle: "SV3D_Conditioning" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SV3D_Conditioning/en.md) - The SV3D_Conditioning node prepares conditioning data for 3D video generation using the SV3D model. It takes an initial image and processes it through CLIP vision and VAE encoders to create positive and negative conditioning, along with a latent representation. The node generates camera elevation and azimuth sequences for multi-frame video generation based on the specified number of video frames. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip_vision` | CLIP_VISION | Yes | - | The CLIP vision model used for encoding the input image | -| `init_image` | IMAGE | Yes | - | The initial image that serves as the starting point for 3D video generation | -| `vae` | VAE | Yes | - | The VAE model used for encoding the image into latent space | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | The output width for the generated video frames (default: 576, must be divisible by 8) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | The output height for the generated video frames (default: 576, must be divisible by 8) | -| `video_frames` | INT | Yes | 1 to 4096 | The number of frames to generate for the video sequence (default: 21) | -| `elevation` | FLOAT | Yes | -90.0 to 90.0 | The camera elevation angle in degrees for the 3D view (default: 0.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip_vision` | The CLIP vision model used for encoding the input image | CLIP_VISION | Yes | - | +| `init_image` | The initial image that serves as the starting point for 3D video generation | IMAGE | Yes | - | +| `vae` | The VAE model used for encoding the image into latent space | VAE | Yes | - | +| `width` | The output width for the generated video frames (default: 576, must be divisible by 8) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | The output height for the generated video frames (default: 576, must be divisible by 8) | INT | Yes | 16 to MAX_RESOLUTION | +| `video_frames` | The number of frames to generate for the video sequence (default: 21) | INT | Yes | 1 to 4096 | +| `elevation` | The camera elevation angle in degrees for the 3D view (default: 0.0) | FLOAT | Yes | -90.0 to 90.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The positive conditioning data containing image embeddings and camera parameters for generation | -| `negative` | CONDITIONING | The negative conditioning data with zeroed embeddings for contrastive generation | -| `latent` | LATENT | An empty latent tensor with dimensions matching the specified video frames and resolution | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The positive conditioning data containing image embeddings and camera parameters for generation | CONDITIONING | +| `negative` | The negative conditioning data with zeroed embeddings for contrastive generation | CONDITIONING | +| `latent` | An empty latent tensor with dimensions matching the specified video frames and resolution | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SV3D_Conditioning/en.md) --- **Source fingerprint (SHA-256):** `a1d4b7f0106bcdc7c9640f6e12986d9b452f785882caaa2072ba1a5da0913f69` diff --git a/built-in-nodes/SVD_img2vid_Conditioning.mdx b/built-in-nodes/SVD_img2vid_Conditioning.mdx index 79d671120..c2770fac9 100644 --- a/built-in-nodes/SVD_img2vid_Conditioning.mdx +++ b/built-in-nodes/SVD_img2vid_Conditioning.mdx @@ -5,31 +5,31 @@ sidebarTitle: "SVD_img2vid_Conditioning" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SVD_img2vid_Conditioning/en.md) - The SVD_img2vid_Conditioning node prepares conditioning data for video generation using Stable Video Diffusion. It takes an initial image and processes it through CLIP vision and VAE encoders to create positive and negative conditioning pairs, along with an empty latent space for video generation. This node sets up the necessary parameters for controlling motion, frame rate, and augmentation levels in the generated video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip_vision` | CLIP_VISION | Yes | - | CLIP vision model for encoding the input image | -| `init_image` | IMAGE | Yes | - | Initial image to use as the starting point for video generation | -| `vae` | VAE | Yes | - | VAE model for encoding the image into latent space | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width (default: 1024, step: 8) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height (default: 576, step: 8) | -| `video_frames` | INT | Yes | 1 to 4096 | Number of frames to generate in the video (default: 14) | -| `motion_bucket_id` | INT | Yes | 1 to 1023 | Controls the amount of motion in the generated video (default: 127) | -| `fps` | INT | Yes | 1 to 1024 | Frames per second for the generated video (default: 6) | -| `augmentation_level` | FLOAT | Yes | 0.0 to 10.0 | Level of noise augmentation to apply to the input image (default: 0.0, step: 0.01) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip_vision` | CLIP vision model for encoding the input image | CLIP_VISION | Yes | - | +| `init_image` | Initial image to use as the starting point for video generation | IMAGE | Yes | - | +| `vae` | VAE model for encoding the image into latent space | VAE | Yes | - | +| `width` | Output video width (default: 1024, step: 8) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Output video height (default: 576, step: 8) | INT | Yes | 16 to MAX_RESOLUTION | +| `video_frames` | Number of frames to generate in the video (default: 14) | INT | Yes | 1 to 4096 | +| `motion_bucket_id` | Controls the amount of motion in the generated video (default: 127) | INT | Yes | 1 to 1023 | +| `fps` | Frames per second for the generated video (default: 6) | INT | Yes | 1 to 1024 | +| `augmentation_level` | Level of noise augmentation to apply to the input image (default: 0.0, step: 0.01) | FLOAT | Yes | 0.0 to 10.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Positive conditioning data containing image embeddings and video parameters | -| `negative` | CONDITIONING | Negative conditioning data with zeroed embeddings and video parameters | -| `latent` | LATENT | Empty latent space tensor ready for video generation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Positive conditioning data containing image embeddings and video parameters | CONDITIONING | +| `negative` | Negative conditioning data with zeroed embeddings and video parameters | CONDITIONING | +| `latent` | Empty latent space tensor ready for video generation | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SVD_img2vid_Conditioning/en.md) --- **Source fingerprint (SHA-256):** `33b295b6f2e459852aaa95d9dca26c724aa2e9ad0f884a1c7760766530a00a09` diff --git a/built-in-nodes/SamplerARVideo.mdx b/built-in-nodes/SamplerARVideo.mdx index e05b13a36..324c764c5 100644 --- a/built-in-nodes/SamplerARVideo.mdx +++ b/built-in-nodes/SamplerARVideo.mdx @@ -5,21 +5,21 @@ sidebarTitle: "SamplerARVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerARVideo/en.md) - The Sampler AR Video node provides a specialized sampling method for autoregressive video models, such as those using Causal Forcing or Self-Forcing techniques. It manages all parameters related to the autoregressive (AR) loop directly within the workflow, making it easy to configure how the model generates video frames one step at a time. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `num_frame_per_block` | INT | Yes | 1 to 64 | Frames per autoregressive block. A value of 1 means the model generates one frame at a time (framewise), while a value of 3 means it generates three frames together (chunkwise). This setting must match the checkpoint's training mode. Default: 1. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `num_frame_per_block` | Frames per autoregressive block. A value of 1 means the model generates one frame at a time (framewise), while a value of 3 means it generates three frames together (chunkwise). This setting must match the checkpoint's training mode. Default: 1. | INT | Yes | 1 to 64 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `SAMPLER` | SAMPLER | A configured sampler object that uses the "ar_video" sampling function with the specified autoregressive parameters. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `SAMPLER` | A configured sampler object that uses the "ar_video" sampling function with the specified autoregressive parameters. | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerARVideo/en.md) --- **Source fingerprint (SHA-256):** `7f722791f55a4d8bbda1c00becf25c42e67e3a487712fa674ac118e978cf9812` diff --git a/built-in-nodes/SamplerCustom.mdx b/built-in-nodes/SamplerCustom.mdx index e04da7848..451756916 100644 --- a/built-in-nodes/SamplerCustom.mdx +++ b/built-in-nodes/SamplerCustom.mdx @@ -5,26 +5,27 @@ sidebarTitle: "SamplerCustom" icon: "circle" mode: wide --- - The SamplerCustom node is designed to provide a flexible and customizable sampling mechanism for various applications. It enables users to select and configure different sampling strategies tailored to their specific needs, enhancing the adaptability and efficiency of the sampling process. ## Inputs -| Parameter | Data Type | Description | -|-----------|--------------|-------------| -| `model` | `MODEL` | The 'model' input type specifies the model to be used for sampling, playing a crucial role in determining the sampling behavior and output. | -| `add_noise` | `BOOLEAN` | The 'add_noise' input type allows users to specify whether noise should be added to the sampling process, influencing the diversity and characteristics of the generated samples. | -| `noise_seed` | `INT` | The 'noise_seed' input type provides a seed for the noise generation, ensuring reproducibility and consistency in the sampling process when adding noise. | -| `cfg` | `FLOAT` | The 'cfg' input type sets the configuration for the sampling process, allowing for fine-tuning of the sampling parameters and behavior. | -| `positive` | `CONDITIONING` | The 'positive' input type represents positive conditioning information, guiding the sampling process towards generating samples that align with specified positive attributes. | -| `negative` | `CONDITIONING` | The 'negative' input type represents negative conditioning information, steering the sampling process away from generating samples that exhibit specified negative attributes. | -| `sampler` | `SAMPLER` | The 'sampler' input type selects the specific sampling strategy to be employed, directly impacting the nature and quality of the generated samples. | -| `sigmas` | `SIGMAS` | The 'sigmas' input type defines the noise levels to be used in the sampling process, affecting the exploration of the sample space and the diversity of the output. | -| `latent_image` | `LATENT` | The 'latent_image' input type provides an initial latent image for the sampling process, serving as a starting point for sample generation. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | The 'model' input type specifies the model to be used for sampling, playing a crucial role in determining the sampling behavior and output. | `MODEL` | +| `add_noise` | The 'add_noise' input type allows users to specify whether noise should be added to the sampling process, influencing the diversity and characteristics of the generated samples. | `BOOLEAN` | +| `noise_seed` | The 'noise_seed' input type provides a seed for the noise generation, ensuring reproducibility and consistency in the sampling process when adding noise. | `INT` | +| `cfg` | The 'cfg' input type sets the configuration for the sampling process, allowing for fine-tuning of the sampling parameters and behavior. | `FLOAT` | +| `positive` | The 'positive' input type represents positive conditioning information, guiding the sampling process towards generating samples that align with specified positive attributes. | `CONDITIONING` | +| `negative` | The 'negative' input type represents negative conditioning information, steering the sampling process away from generating samples that exhibit specified negative attributes. | `CONDITIONING` | +| `sampler` | The 'sampler' input type selects the specific sampling strategy to be employed, directly impacting the nature and quality of the generated samples. | `SAMPLER` | +| `sigmas` | The 'sigmas' input type defines the noise levels to be used in the sampling process, affecting the exploration of the sample space and the diversity of the output. | `SIGMAS` | +| `latent_image` | The 'latent_image' input type provides an initial latent image for the sampling process, serving as a starting point for sample generation. | `LATENT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|--------------|-------------| -| `output` | `LATENT` | The 'output' represents the primary result of the sampling process, containing the generated samples. | -| `denoised_output` | `LATENT` | The 'denoised_output' represents the samples after a denoising process has been applied, potentially enhancing the clarity and quality of the generated samples. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `output` | The 'output' represents the primary result of the sampling process, containing the generated samples. | `LATENT` | +| `denoised_output` | The 'denoised_output' represents the samples after a denoising process has been applied, potentially enhancing the clarity and quality of the generated samples. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustom/en.md) diff --git a/built-in-nodes/SamplerCustomAdvanced.mdx b/built-in-nodes/SamplerCustomAdvanced.mdx index d9b9af804..0ebe37cd5 100644 --- a/built-in-nodes/SamplerCustomAdvanced.mdx +++ b/built-in-nodes/SamplerCustomAdvanced.mdx @@ -5,26 +5,26 @@ sidebarTitle: "SamplerCustomAdvanced" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustomAdvanced/en.md) - The SamplerCustomAdvanced node performs advanced latent space sampling using custom noise, guidance, and sampling configurations. It processes a latent image through a guided sampling process with customizable noise generation and sigma schedules, producing both the final sampled output and a denoised version when available. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `noise` | NOISE | Yes | - | The noise generator that provides the initial noise pattern and seed for the sampling process | -| `guider` | GUIDER | Yes | - | The guidance model that directs the sampling process toward desired outputs | -| `sampler` | SAMPLER | Yes | - | The sampling algorithm that defines how the latent space is traversed during generation | -| `sigmas` | SIGMAS | Yes | - | The sigma schedule that controls the noise levels throughout the sampling steps | -| `latent_image` | LATENT | Yes | - | The initial latent representation that serves as the starting point for sampling. Supports optional `noise_mask` for selective denoising, and optional `downscale_ratio_spacial` and `downscale_ratio_temporal` keys for advanced latent handling | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `noise` | The noise generator that provides the initial noise pattern and seed for the sampling process | NOISE | Yes | - | +| `guider` | The guidance model that directs the sampling process toward desired outputs | GUIDER | Yes | - | +| `sampler` | The sampling algorithm that defines how the latent space is traversed during generation | SAMPLER | Yes | - | +| `sigmas` | The sigma schedule that controls the noise levels throughout the sampling steps | SIGMAS | Yes | - | +| `latent_image` | The initial latent representation that serves as the starting point for sampling. Supports optional `noise_mask` for selective denoising, and optional `downscale_ratio_spacial` and `downscale_ratio_temporal` keys for advanced latent handling | LATENT | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | LATENT | The final sampled latent representation after completing the sampling process. Any `downscale_ratio_spacial` or `downscale_ratio_temporal` keys from the input latent are removed from this output | -| `denoised_output` | LATENT | A denoised version of the output when the sampling process produces an intermediate clean prediction (x0), otherwise returns the same as the output. When available, this represents the model's best estimate of the clean latent at each step | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The final sampled latent representation after completing the sampling process. Any `downscale_ratio_spacial` or `downscale_ratio_temporal` keys from the input latent are removed from this output | LATENT | +| `denoised_output` | A denoised version of the output when the sampling process produces an intermediate clean prediction (x0), otherwise returns the same as the output. When available, this represents the model's best estimate of the clean latent at each step | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustomAdvanced/en.md) --- **Source fingerprint (SHA-256):** `c6217a2b89009237366109e2156e279c3a1077f28c9e8bf9808b1f04788c5370` diff --git a/built-in-nodes/SamplerDPMAdaptative.mdx b/built-in-nodes/SamplerDPMAdaptative.mdx index 08ceab4e3..8c715e7f9 100644 --- a/built-in-nodes/SamplerDPMAdaptative.mdx +++ b/built-in-nodes/SamplerDPMAdaptative.mdx @@ -5,30 +5,30 @@ sidebarTitle: "SamplerDPMAdaptative" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMAdaptative/en.md) - The SamplerDPMAdaptative node implements an adaptive DPM (Diffusion Probabilistic Model) sampler that automatically adjusts step sizes during the sampling process. It uses tolerance-based error control to determine optimal step sizes, balancing computational efficiency with sampling accuracy. This adaptive approach helps maintain quality while potentially reducing the number of steps needed. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `order` | INT | Yes | 2-3 | The order of the sampler method (default: 3) | -| `rtol` | FLOAT | Yes | 0.0-100.0 | Relative tolerance for error control (default: 0.05) | -| `atol` | FLOAT | Yes | 0.0-100.0 | Absolute tolerance for error control (default: 0.0078) | -| `h_init` | FLOAT | Yes | 0.0-100.0 | Initial step size (default: 0.05) | -| `pcoeff` | FLOAT | Yes | 0.0-100.0 | Proportional coefficient for step size control (default: 0.0) | -| `icoeff` | FLOAT | Yes | 0.0-100.0 | Integral coefficient for step size control (default: 1.0) | -| `dcoeff` | FLOAT | Yes | 0.0-100.0 | Derivative coefficient for step size control (default: 0.0) | -| `accept_safety` | FLOAT | Yes | 0.0-100.0 | Safety factor for step acceptance (default: 0.81) | -| `eta` | FLOAT | Yes | 0.0-100.0 | Stochasticity parameter (default: 0.0) | -| `s_noise` | FLOAT | Yes | 0.0-100.0 | Noise scaling factor (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `order` | The order of the sampler method (default: 3) | INT | Yes | 2-3 | +| `rtol` | Relative tolerance for error control (default: 0.05) | FLOAT | Yes | 0.0-100.0 | +| `atol` | Absolute tolerance for error control (default: 0.0078) | FLOAT | Yes | 0.0-100.0 | +| `h_init` | Initial step size (default: 0.05) | FLOAT | Yes | 0.0-100.0 | +| `pcoeff` | Proportional coefficient for step size control (default: 0.0) | FLOAT | Yes | 0.0-100.0 | +| `icoeff` | Integral coefficient for step size control (default: 1.0) | FLOAT | Yes | 0.0-100.0 | +| `dcoeff` | Derivative coefficient for step size control (default: 0.0) | FLOAT | Yes | 0.0-100.0 | +| `accept_safety` | Safety factor for step acceptance (default: 0.81) | FLOAT | Yes | 0.0-100.0 | +| `eta` | Stochasticity parameter (default: 0.0) | FLOAT | Yes | 0.0-100.0 | +| `s_noise` | Noise scaling factor (default: 1.0) | FLOAT | Yes | 0.0-100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | Returns a configured DPM adaptive sampler instance | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sampler` | Returns a configured DPM adaptive sampler instance | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMAdaptative/en.md) --- **Source fingerprint (SHA-256):** `6f7bc9c02604d2645a3b33aa418c99706228ec5947722a7e45a0a519f7a42a9f` diff --git a/built-in-nodes/SamplerDPMPP_2M_SDE.mdx b/built-in-nodes/SamplerDPMPP_2M_SDE.mdx index 2ec64e919..4bac6588c 100644 --- a/built-in-nodes/SamplerDPMPP_2M_SDE.mdx +++ b/built-in-nodes/SamplerDPMPP_2M_SDE.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SamplerDPMPP_2M_SDE" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2M_SDE/en.md) - The SamplerDPMPP_2M_SDE node creates a DPM++ 2M SDE sampler for diffusion models. This sampler uses second-order differential equation solvers with stochastic differential equations to generate samples. It provides different solver types and noise handling options to control the sampling process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `solver_type` | STRING | Yes | `"midpoint"`
`"heun"` | The type of differential equation solver to use for the sampling process | -| `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the stochasticity of the sampling process (default: 1.0) | -| `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | -| `noise_device` | STRING | Yes | `"gpu"`
`"cpu"` | The device where noise calculations are performed. When set to "cpu", the sampler uses CPU-based noise generation; when set to "gpu", it uses GPU-based noise generation for potentially faster performance (default: "gpu") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `solver_type` | The type of differential equation solver to use for the sampling process | STRING | Yes | `"midpoint"`
`"heun"` | +| `eta` | Controls the stochasticity of the sampling process (default: 1.0) | FLOAT | Yes | 0.0 - 100.0 | +| `s_noise` | Controls the amount of noise added during sampling (default: 1.0) | FLOAT | Yes | 0.0 - 100.0 | +| `noise_device` | The device where noise calculations are performed. When set to "cpu", the sampler uses CPU-based noise generation; when set to "gpu", it uses GPU-based noise generation for potentially faster performance (default: "gpu") | STRING | Yes | `"gpu"`
`"cpu"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | A configured sampler object ready for use in the sampling pipeline | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sampler` | A configured sampler object ready for use in the sampling pipeline | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2M_SDE/en.md) --- **Source fingerprint (SHA-256):** `1f699504ddefc6bdebee0fbad31b59aa38611f0fcdc40a15898be3db184872a6` diff --git a/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx b/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx index d8cb2a6bf..0d308ead5 100644 --- a/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx +++ b/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SamplerDPMPP_2S_Ancestral" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2S_Ancestral/en.md) - The SamplerDPMPP_2S_Ancestral node creates a sampler that uses the DPM++ 2S Ancestral sampling method for generating images. This sampler combines deterministic and stochastic elements to produce varied results while maintaining some consistency. It allows you to control the randomness and noise levels during the sampling process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of stochastic noise added during sampling (default: 1.0) | -| `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the scale of noise applied during the sampling process (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `eta` | Controls the amount of stochastic noise added during sampling (default: 1.0) | FLOAT | Yes | 0.0 - 100.0 | +| `s_noise` | Controls the scale of noise applied during the sampling process (default: 1.0) | FLOAT | Yes | 0.0 - 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | Returns a configured sampler object that can be used in the sampling pipeline | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sampler` | Returns a configured sampler object that can be used in the sampling pipeline | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2S_Ancestral/en.md) --- **Source fingerprint (SHA-256):** `f18f51eb960250b52e7cbe58e19ed61d9a64876368c643b83a88e80fdb821d7d` diff --git a/built-in-nodes/SamplerDPMPP_3M_SDE.mdx b/built-in-nodes/SamplerDPMPP_3M_SDE.mdx index d1ca1d5b0..eee57724a 100644 --- a/built-in-nodes/SamplerDPMPP_3M_SDE.mdx +++ b/built-in-nodes/SamplerDPMPP_3M_SDE.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SamplerDPMPP_3M_SDE" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_3M_SDE/en.md) - The SamplerDPMPP_3M_SDE node creates a DPM++ 3M SDE sampler for use in the sampling process. This sampler uses a third-order multistep stochastic differential equation method with configurable noise parameters. The node allows you to choose whether noise calculations are performed on the GPU or CPU. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the stochasticity of the sampling process (default: 1.0) | -| `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | -| `noise_device` | COMBO | Yes | "gpu"
"cpu" | Selects the device for noise calculations, either GPU or CPU (default: "gpu") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `eta` | Controls the stochasticity of the sampling process (default: 1.0) | FLOAT | Yes | 0.0 - 100.0 | +| `s_noise` | Controls the amount of noise added during sampling (default: 1.0) | FLOAT | Yes | 0.0 - 100.0 | +| `noise_device` | Selects the device for noise calculations, either GPU or CPU (default: "gpu") | COMBO | Yes | "gpu"
"cpu" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | Returns a configured sampler object for use in sampling workflows | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sampler` | Returns a configured sampler object for use in sampling workflows | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_3M_SDE/en.md) --- **Source fingerprint (SHA-256):** `d25f8f69211ebca5aca8d1925d53f90a1bee3f883239635bffc107b5fdae8b36` diff --git a/built-in-nodes/SamplerDPMPP_SDE.mdx b/built-in-nodes/SamplerDPMPP_SDE.mdx index 254ebd522..4e9506b31 100644 --- a/built-in-nodes/SamplerDPMPP_SDE.mdx +++ b/built-in-nodes/SamplerDPMPP_SDE.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SamplerDPMPP_SDE" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_SDE/en.md) - The SamplerDPMPP_SDE node creates a DPM++ SDE (Stochastic Differential Equation) sampler for use in the sampling process. This sampler provides a stochastic sampling method with configurable noise parameters and device selection. It returns a sampler object that can be used in the sampling pipeline. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the stochasticity of the sampling process (default: 1.0) | -| `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | -| `r` | FLOAT | Yes | 0.0 - 100.0 | A parameter that influences the sampling behavior (default: 0.5) | -| `noise_device` | COMBO | Yes | "gpu"
"cpu" | Selects the device where noise calculations are performed (default: "gpu") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `eta` | Controls the stochasticity of the sampling process (default: 1.0) | FLOAT | Yes | 0.0 - 100.0 | +| `s_noise` | Controls the amount of noise added during sampling (default: 1.0) | FLOAT | Yes | 0.0 - 100.0 | +| `r` | A parameter that influences the sampling behavior (default: 0.5) | FLOAT | Yes | 0.0 - 100.0 | +| `noise_device` | Selects the device where noise calculations are performed (default: "gpu") | COMBO | Yes | "gpu"
"cpu" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | Returns a configured DPM++ SDE sampler object for use in sampling pipelines | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sampler` | Returns a configured DPM++ SDE sampler object for use in sampling pipelines | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_SDE/en.md) --- **Source fingerprint (SHA-256):** `613c129801297c6b7e993727e570476f8b3b1aef16a402cf2115922299944402` diff --git a/built-in-nodes/SamplerDpmpp2mSde.mdx b/built-in-nodes/SamplerDpmpp2mSde.mdx index 041fb8479..f528a4e52 100644 --- a/built-in-nodes/SamplerDpmpp2mSde.mdx +++ b/built-in-nodes/SamplerDpmpp2mSde.mdx @@ -5,20 +5,21 @@ sidebarTitle: "SamplerDpmpp2mSde" icon: "circle" mode: wide --- - This node is designed to generate a sampler for the DPMPP_2M_SDE model, allowing for the creation of samples based on specified solver types, noise levels, and computational device preferences. It abstracts the complexities of sampler configuration, providing a streamlined interface for generating samples with customized settings. ## Inputs -| Parameter | Data Type | Description | -|-----------------|-------------|-----------------------------------------------------------------------------| -| `solver_type` | COMBO[STRING] | Specifies the solver type to be used in the sampling process, offering options between 'midpoint' and 'heun'. This choice influences the numerical integration method applied during sampling. | -| `eta` | `FLOAT` | Determines the step size in the numerical integration, affecting the granularity of the sampling process. A higher value indicates a larger step size. | -| `s_noise` | `FLOAT` | Controls the level of noise introduced during the sampling process, influencing the variability of the generated samples. | -| `noise_device` | COMBO[STRING] | Indicates the computational device ('gpu' or 'cpu') on which the noise generation process is executed, affecting performance and efficiency. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `solver_type` | Specifies the solver type to be used in the sampling process, offering options between 'midpoint' and 'heun'. This choice influences the numerical integration method applied during sampling. | COMBO[STRING] | +| `eta` | Determines the step size in the numerical integration, affecting the granularity of the sampling process. A higher value indicates a larger step size. | `FLOAT` | +| `s_noise` | Controls the level of noise introduced during the sampling process, influencing the variability of the generated samples. | `FLOAT` | +| `noise_device` | Indicates the computational device ('gpu' or 'cpu') on which the noise generation process is executed, affecting performance and efficiency. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|-----------------|-------------|-----------------------------------------------------------------------------| -| `sampler` | `SAMPLER` | The output is a sampler configured according to the specified parameters, ready for generating samples. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `sampler` | The output is a sampler configured according to the specified parameters, ready for generating samples. | `SAMPLER` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDpmpp2mSde/en.md) diff --git a/built-in-nodes/SamplerDpmppSde.mdx b/built-in-nodes/SamplerDpmppSde.mdx index e427b56a2..7668faf35 100644 --- a/built-in-nodes/SamplerDpmppSde.mdx +++ b/built-in-nodes/SamplerDpmppSde.mdx @@ -5,20 +5,21 @@ sidebarTitle: "SamplerDpmppSde" icon: "circle" mode: wide --- - This node is designed to generate a sampler for the DPM++ SDE (Stochastic Differential Equation) model. It adapts to both CPU and GPU execution environments, optimizing the sampler's implementation based on the available hardware. ## Inputs -| Parameter | Data Type | Description | -|----------------|-------------|-------------| -| `eta` | FLOAT | Specifies the step size for the SDE solver, influencing the granularity of the sampling process.| -| `s_noise` | FLOAT | Determines the level of noise to be applied during the sampling process, affecting the diversity of the generated samples.| -| `r` | FLOAT | Controls the ratio of noise reduction in the sampling process, impacting the clarity and quality of the generated samples.| -| `noise_device` | COMBO[STRING]| Selects the execution environment (CPU or GPU) for the sampler, optimizing performance based on available hardware.| +| Parameter | Description | Data Type | +| --- | --- | --- | +| `eta` | Specifies the step size for the SDE solver, influencing the granularity of the sampling process. | FLOAT | +| `s_noise` | Determines the level of noise to be applied during the sampling process, affecting the diversity of the generated samples. | FLOAT | +| `r` | Controls the ratio of noise reduction in the sampling process, impacting the clarity and quality of the generated samples. | FLOAT | +| `noise_device` | Selects the execution environment (CPU or GPU) for the sampler, optimizing performance based on available hardware. | COMBO[STRING] | ## Outputs -| Parameter | Data Type | Description | -|----------------|-------------|-------------| -| `sampler` | SAMPLER | The generated sampler configured with the specified parameters, ready for use in sampling operations. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `sampler` | The generated sampler configured with the specified parameters, ready for use in sampling operations. | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDpmppSde/en.md) diff --git a/built-in-nodes/SamplerER_SDE.mdx b/built-in-nodes/SamplerER_SDE.mdx index f2c59439b..ff101ec99 100644 --- a/built-in-nodes/SamplerER_SDE.mdx +++ b/built-in-nodes/SamplerER_SDE.mdx @@ -5,18 +5,16 @@ sidebarTitle: "SamplerER_SDE" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerER_SDE/en.md) - The SamplerER_SDE node provides specialized sampling methods for diffusion models, offering different solver types including ER-SDE, Reverse-time SDE, and ODE approaches. It allows control over the stochastic behavior and computational stages of the sampling process. The node automatically adjusts parameters based on the selected solver type to ensure proper functionality. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `solver_type` | COMBO | Yes | "ER-SDE"
"Reverse-time SDE"
"ODE" | The type of solver to use for sampling. Determines the mathematical approach for the diffusion process. | -| `max_stage` | INT | No | 1-3 | The maximum number of stages for the sampling process (default: 3). Controls the computational complexity and quality. | -| `eta` | FLOAT | No | 0.0-100.0 | Stochastic strength of reverse-time SDE (default: 1.0). When eta=0, it reduces to deterministic ODE. This setting doesn't apply to ER-SDE solver type. | -| `s_noise` | FLOAT | No | 0.0-100.0 | Noise scaling factor for the sampling process (default: 1.0). Controls the amount of noise applied during sampling. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `solver_type` | The type of solver to use for sampling. Determines the mathematical approach for the diffusion process. | COMBO | Yes | "ER-SDE"
"Reverse-time SDE"
"ODE" | +| `max_stage` | The maximum number of stages for the sampling process (default: 3). Controls the computational complexity and quality. | INT | No | 1-3 | +| `eta` | Stochastic strength of reverse-time SDE (default: 1.0). When eta=0, it reduces to deterministic ODE. This setting doesn't apply to ER-SDE solver type. | FLOAT | No | 0.0-100.0 | +| `s_noise` | Noise scaling factor for the sampling process (default: 1.0). Controls the amount of noise applied during sampling. | FLOAT | No | 0.0-100.0 | **Parameter Constraints:** @@ -25,9 +23,11 @@ The SamplerER_SDE node provides specialized sampling methods for diffusion model ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | A configured sampler object that can be used in the sampling pipeline with the specified solver settings. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sampler` | A configured sampler object that can be used in the sampling pipeline with the specified solver settings. | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerER_SDE/en.md) --- **Source fingerprint (SHA-256):** `7a822bd28a41e616dea9feb1826d5bc1594fe0ba7429a7de21c602fe9f84ff10` diff --git a/built-in-nodes/SamplerEulerAncestral.mdx b/built-in-nodes/SamplerEulerAncestral.mdx index 920541ea4..1b4106d05 100644 --- a/built-in-nodes/SamplerEulerAncestral.mdx +++ b/built-in-nodes/SamplerEulerAncestral.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SamplerEulerAncestral" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestral/en.md) - The SamplerEulerAncestral node creates an Euler Ancestral sampler for generating images. This sampler uses a specific mathematical approach that combines Euler integration with ancestral sampling techniques to produce image variations. The node allows you to configure the sampling behavior by adjusting parameters that control the randomness and step size during the generation process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | No | 0.0 - 100.0 | Controls the step size and stochasticity of the sampling process (default: 1.0). This is an advanced parameter. | -| `s_noise` | FLOAT | No | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0). This is an advanced parameter. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `eta` | Controls the step size and stochasticity of the sampling process (default: 1.0). This is an advanced parameter. | FLOAT | No | 0.0 - 100.0 | +| `s_noise` | Controls the amount of noise added during sampling (default: 1.0). This is an advanced parameter. | FLOAT | No | 0.0 - 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | Returns a configured Euler Ancestral sampler that can be used in the sampling pipeline. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sampler` | Returns a configured Euler Ancestral sampler that can be used in the sampling pipeline. | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestral/en.md) --- **Source fingerprint (SHA-256):** `e54d6ae421731851d54ba747063ff804b1def6024b530afdec0748d255ad1251` diff --git a/built-in-nodes/SamplerEulerAncestralCFGPP.mdx b/built-in-nodes/SamplerEulerAncestralCFGPP.mdx index 04013ac89..4441b3f1b 100644 --- a/built-in-nodes/SamplerEulerAncestralCFGPP.mdx +++ b/built-in-nodes/SamplerEulerAncestralCFGPP.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SamplerEulerAncestralCFGPP" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/en.md) - The SamplerEulerAncestralCFGPP node creates a sampler that uses the Euler Ancestral method with classifier-free guidance (CFG++) for image generation. This sampler combines ancestral sampling techniques with guidance conditioning to produce diverse image variations while maintaining coherence, and allows fine-tuning through parameters that control noise and step size adjustments. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | Yes | 0.0 - 1.0 | Controls the step size during sampling, with higher values resulting in more aggressive updates (default: 1.0) | -| `s_noise` | FLOAT | Yes | 0.0 - 10.0 | Adjusts the amount of noise added during the sampling process (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `eta` | Controls the step size during sampling, with higher values resulting in more aggressive updates (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | +| `s_noise` | Adjusts the amount of noise added during the sampling process (default: 1.0) | FLOAT | Yes | 0.0 - 10.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | Returns a configured sampler object that can be used in the image generation pipeline | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sampler` | Returns a configured sampler object that can be used in the image generation pipeline | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/en.md) --- **Source fingerprint (SHA-256):** `c519c9ff857a13e3a99fc907672925747565d8f1c6456c345138b33ebeda2b17` diff --git a/built-in-nodes/SamplerEulerCFGpp.mdx b/built-in-nodes/SamplerEulerCFGpp.mdx index a9a9fedcd..78b3ce60c 100644 --- a/built-in-nodes/SamplerEulerCFGpp.mdx +++ b/built-in-nodes/SamplerEulerCFGpp.mdx @@ -5,21 +5,21 @@ sidebarTitle: "SamplerEulerCFGpp" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerCFGpp/en.md) - The SamplerEulerCFGpp node provides an Euler CFG++ sampling method for generating outputs. This node offers two different implementation versions of the Euler CFG++ sampler that can be selected based on user preference. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `version` | STRING | Yes | `"regular"`
`"alternative"` | The implementation version of the Euler CFG++ sampler to use (default: "regular") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `version` | The implementation version of the Euler CFG++ sampler to use (default: "regular") | STRING | Yes | `"regular"`
`"alternative"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | Returns a configured Euler CFG++ sampler instance | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sampler` | Returns a configured Euler CFG++ sampler instance | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerCFGpp/en.md) --- **Source fingerprint (SHA-256):** `ff80ae845259b6fd415f11f20bb224617c7a6134b8e02799fef4549d42d44b83` diff --git a/built-in-nodes/SamplerLCM.mdx b/built-in-nodes/SamplerLCM.mdx index 6cf7efa1a..65f7fe076 100644 --- a/built-in-nodes/SamplerLCM.mdx +++ b/built-in-nodes/SamplerLCM.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SamplerLCM" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/en.md) - The SamplerLCM node provides an LCM (Latent Consistency Model) sampler with tunable per-step noise parameters. It allows you to control the noise applied at each sampling step, enabling fine-grained adjustment of the sampling process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `s_noise` | FLOAT | Yes | 0.0 to 64.0 (step: 0.01) | Per-step noise multiplier at the first step. A value of 1.0 matches the model's training noise scale. (default: 1.0) | -| `s_noise_end` | FLOAT | Yes | 0.0 to 64.0 (step: 0.01) | Per-step noise multiplier at the last step. Set equal to `s_noise` for a constant noise schedule. (default: 1.0) | -| `noise_clip_std` | FLOAT | Yes | 0.0 to 10.0 (step: 0.01) | Clamps the per-step noise to within +/- N standard deviations. A value of 0 disables clamping. (default: 0.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `s_noise` | Per-step noise multiplier at the first step. A value of 1.0 matches the model's training noise scale. (default: 1.0) | FLOAT | Yes | 0.0 to 64.0 (step: 0.01) | +| `s_noise_end` | Per-step noise multiplier at the last step. Set equal to `s_noise` for a constant noise schedule. (default: 1.0) | FLOAT | Yes | 0.0 to 64.0 (step: 0.01) | +| `noise_clip_std` | Clamps the per-step noise to within +/- N standard deviations. A value of 0 disables clamping. (default: 0.0) | FLOAT | Yes | 0.0 to 10.0 (step: 0.01) | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `SAMPLER` | SAMPLER | The configured LCM sampler object, ready to be used in a sampling workflow. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `SAMPLER` | The configured LCM sampler object, ready to be used in a sampling workflow. | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/en.md) --- **Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98` diff --git a/built-in-nodes/SamplerLCMUpscale.mdx b/built-in-nodes/SamplerLCMUpscale.mdx index 579cce9bf..9ba7b3847 100644 --- a/built-in-nodes/SamplerLCMUpscale.mdx +++ b/built-in-nodes/SamplerLCMUpscale.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SamplerLCMUpscale" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCMUpscale/en.md) - The SamplerLCMUpscale node provides a specialized sampling method that combines Latent Consistency Model (LCM) sampling with image upscaling capabilities. It allows you to upscale images during the sampling process using various interpolation methods, making it useful for generating higher resolution outputs while maintaining image quality. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `scale_ratio` | FLOAT | No | 0.1 - 20.0 | The scaling factor to apply during upscaling (default: 1.0) | -| `scale_steps` | INT | No | -1 - 1000 | The number of steps to use for upscaling process. Use -1 for automatic calculation (default: -1) | -| `upscale_method` | COMBO | Yes | "bislerp"
"nearest-exact"
"bilinear"
"area"
"bicubic" | The interpolation method used for upscaling the image | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `scale_ratio` | The scaling factor to apply during upscaling (default: 1.0) | FLOAT | No | 0.1 - 20.0 | +| `scale_steps` | The number of steps to use for upscaling process. Use -1 for automatic calculation (default: -1) | INT | No | -1 - 1000 | +| `upscale_method` | The interpolation method used for upscaling the image | COMBO | Yes | "bislerp"
"nearest-exact"
"bilinear"
"area"
"bicubic" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | Returns a configured sampler object that can be used in the sampling pipeline | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sampler` | Returns a configured sampler object that can be used in the sampling pipeline | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCMUpscale/en.md) --- **Source fingerprint (SHA-256):** `11cd4de455d8345f0008757e7402b6cba1c21cf6eeebdd41f4500e615d826920` diff --git a/built-in-nodes/SamplerLMS.mdx b/built-in-nodes/SamplerLMS.mdx index 1bd36efc4..aa7200cd1 100644 --- a/built-in-nodes/SamplerLMS.mdx +++ b/built-in-nodes/SamplerLMS.mdx @@ -5,21 +5,21 @@ sidebarTitle: "SamplerLMS" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLMS/en.md) - The SamplerLMS node creates a Least Mean Squares (LMS) sampler for use in diffusion models. It generates a sampler object that can be used in the sampling process, allowing you to control the order of the LMS algorithm for numerical stability and accuracy. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `order` | INT | Yes | 1 to 100 | The order parameter for the LMS sampler algorithm, which controls the numerical method's accuracy and stability (default: 4) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `order` | The order parameter for the LMS sampler algorithm, which controls the numerical method's accuracy and stability (default: 4) | INT | Yes | 1 to 100 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | A configured LMS sampler object that can be used in the sampling pipeline | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sampler` | A configured LMS sampler object that can be used in the sampling pipeline | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLMS/en.md) --- **Source fingerprint (SHA-256):** `fc1f7965a2f1dc78d9ce1181fa0a1f584c2e6b5c3404c4d5463a765498e20536` diff --git a/built-in-nodes/SamplerSASolver.mdx b/built-in-nodes/SamplerSASolver.mdx index 118052145..9306138c3 100644 --- a/built-in-nodes/SamplerSASolver.mdx +++ b/built-in-nodes/SamplerSASolver.mdx @@ -5,29 +5,29 @@ sidebarTitle: "SamplerSASolver" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSASolver/en.md) - The SamplerSASolver node implements a custom sampling algorithm for diffusion models. It uses a predictor-corrector approach with configurable order settings and stochastic differential equation (SDE) parameters to generate samples from the input model. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model to use for sampling | -| `eta` | FLOAT | No | 0.0 - 10.0 | Controls the step size scaling factor (default: 1.0) | -| `sde_start_percent` | FLOAT | No | 0.0 - 1.0 | The starting percentage for SDE sampling (default: 0.2) | -| `sde_end_percent` | FLOAT | No | 0.0 - 1.0 | The ending percentage for SDE sampling (default: 0.8) | -| `s_noise` | FLOAT | No | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | -| `predictor_order` | INT | No | 1 - 6 | The order of the predictor component in the solver (default: 3) | -| `corrector_order` | INT | No | 0 - 6 | The order of the corrector component in the solver (default: 4) | -| `use_pece` | BOOLEAN | No | - | Enables or disables the PECE (Predict-Evaluate-Correct-Evaluate) method | -| `simple_order_2` | BOOLEAN | No | - | Enables or disables simplified second-order calculations | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to use for sampling | MODEL | Yes | - | +| `eta` | Controls the step size scaling factor (default: 1.0) | FLOAT | No | 0.0 - 10.0 | +| `sde_start_percent` | The starting percentage for SDE sampling (default: 0.2) | FLOAT | No | 0.0 - 1.0 | +| `sde_end_percent` | The ending percentage for SDE sampling (default: 0.8) | FLOAT | No | 0.0 - 1.0 | +| `s_noise` | Controls the amount of noise added during sampling (default: 1.0) | FLOAT | No | 0.0 - 100.0 | +| `predictor_order` | The order of the predictor component in the solver (default: 3) | INT | No | 1 - 6 | +| `corrector_order` | The order of the corrector component in the solver (default: 4) | INT | No | 0 - 6 | +| `use_pece` | Enables or disables the PECE (Predict-Evaluate-Correct-Evaluate) method | BOOLEAN | No | - | +| `simple_order_2` | Enables or disables simplified second-order calculations | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | A configured sampler object that can be used with diffusion models | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sampler` | A configured sampler object that can be used with diffusion models | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSASolver/en.md) --- **Source fingerprint (SHA-256):** `f1491a63377d4d8a5c44cb7109afba09678ef9c048786f9086a5437aacb17753` diff --git a/built-in-nodes/SamplerSEEDS2.mdx b/built-in-nodes/SamplerSEEDS2.mdx index 9303bd8a3..b1c199154 100644 --- a/built-in-nodes/SamplerSEEDS2.mdx +++ b/built-in-nodes/SamplerSEEDS2.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SamplerSEEDS2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSEEDS2/en.md) - This node provides a configurable sampler for generating images. It implements the SEEDS-2 algorithm, which is a stochastic differential equation (SDE) solver. By adjusting its parameters, you can configure it to behave like several specific samplers, including `seeds_2`, `exp_heun_2_x0`, and `exp_heun_2_x0_sde`. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `solver_type` | COMBO | Yes | `"phi_1"`
`"phi_2"` | Selects the underlying solver algorithm for the sampler. | -| `eta` | FLOAT | No | 0.0 - 100.0 | Stochastic strength (default: 1.0). | -| `s_noise` | FLOAT | No | 0.0 - 100.0 | SDE noise multiplier (default: 1.0). | -| `r` | FLOAT | No | 0.01 - 1.0 | Relative step size for the intermediate stage (c2 node) (default: 0.5). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `solver_type` | Selects the underlying solver algorithm for the sampler. | COMBO | Yes | `"phi_1"`
`"phi_2"` | +| `eta` | Stochastic strength (default: 1.0). | FLOAT | No | 0.0 - 100.0 | +| `s_noise` | SDE noise multiplier (default: 1.0). | FLOAT | No | 0.0 - 100.0 | +| `r` | Relative step size for the intermediate stage (c2 node) (default: 0.5). | FLOAT | No | 0.01 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | A configured sampler object that can be passed to other sampling nodes. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sampler` | A configured sampler object that can be passed to other sampling nodes. | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSEEDS2/en.md) --- **Source fingerprint (SHA-256):** `85cd8fe647b555e32e2aae9c2300ff9d3e01fcfd8bcdff687b0dc2aa0d06b47d` diff --git a/built-in-nodes/SamplingPercentToSigma.mdx b/built-in-nodes/SamplingPercentToSigma.mdx index 99ab42fbe..4ca3fa259 100644 --- a/built-in-nodes/SamplingPercentToSigma.mdx +++ b/built-in-nodes/SamplingPercentToSigma.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SamplingPercentToSigma" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplingPercentToSigma/en.md) - The SamplingPercentToSigma node converts a sampling percentage value to a corresponding sigma value using the model's sampling parameters. It takes a percentage value between 0.0 and 1.0 and maps it to the appropriate sigma value in the model's noise schedule, with options to return either the calculated sigma or the actual maximum/minimum sigma values at the boundaries. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model containing the sampling parameters used for conversion | -| `sampling_percent` | FLOAT | Yes | 0.0 to 1.0 (step: 0.0001) | The sampling percentage to convert to sigma (default: 0.0) | -| `return_actual_sigma` | BOOLEAN | Yes | - | Return the actual sigma value instead of the value used for interval checks. This only affects results at 0.0 and 1.0. (default: False) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model containing the sampling parameters used for conversion | MODEL | Yes | - | +| `sampling_percent` | The sampling percentage to convert to sigma (default: 0.0) | FLOAT | Yes | 0.0 to 1.0 (step: 0.0001) | +| `return_actual_sigma` | Return the actual sigma value instead of the value used for interval checks. This only affects results at 0.0 and 1.0. (default: False) | BOOLEAN | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sigma_value` | FLOAT | The converted sigma value corresponding to the input sampling percentage | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sigma_value` | The converted sigma value corresponding to the input sampling percentage | FLOAT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplingPercentToSigma/en.md) --- **Source fingerprint (SHA-256):** `4aa5c1efdb5c9bf8c6b2c38db58845a71a0159d6b2ff7a71449934acb05eae1a` diff --git a/built-in-nodes/SaveAnimatedPNG.mdx b/built-in-nodes/SaveAnimatedPNG.mdx index 6f1bf58cc..e97e8ff04 100644 --- a/built-in-nodes/SaveAnimatedPNG.mdx +++ b/built-in-nodes/SaveAnimatedPNG.mdx @@ -5,20 +5,21 @@ sidebarTitle: "SaveAnimatedPNG" icon: "circle" mode: wide --- - The SaveAnimatedPNG node is designed for creating and saving animated PNG images from a sequence of frames. It handles the assembly of individual image frames into a cohesive animation, allowing for customization of frame duration, looping, and metadata inclusion. ## Inputs -| Field | Data Type | Description | -|-------------------|-------------|-------------------------------------------------------------------------------------| -| `images` | `IMAGE` | A list of images to be processed and saved as an animated PNG. Each image in the list represents a frame in the animation. | -| `filename_prefix` | `STRING` | Specifies the base name for the output file, which will be used as a prefix for the generated animated PNG files. | -| `fps` | `FLOAT` | The frames per second rate for the animation, controlling how quickly the frames are displayed. | -| `compress_level` | `INT` | The level of compression applied to the animated PNG files, affecting file size and image clarity. | +| Field | Description | Data Type | +| --- | --- | --- | +| `images` | A list of images to be processed and saved as an animated PNG. Each image in the list represents a frame in the animation. | `IMAGE` | +| `filename_prefix` | Specifies the base name for the output file, which will be used as a prefix for the generated animated PNG files. | `STRING` | +| `fps` | The frames per second rate for the animation, controlling how quickly the frames are displayed. | `FLOAT` | +| `compress_level` | The level of compression applied to the animated PNG files, affecting file size and image clarity. | `INT` | ## Outputs -| Field | Data Type | Description | -|-------|-------------|-----------------------------------------------------------------------------------| -| `ui` | N/A | Provides a UI component displaying the generated animated PNG images and indicating whether the animation is single-frame or multi-frame. | +| Field | Description | Data Type | +| --- | --- | --- | +| `ui` | Provides a UI component displaying the generated animated PNG images and indicating whether the animation is single-frame or multi-frame. | N/A | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAnimatedPNG/en.md) diff --git a/built-in-nodes/SaveAnimatedWEBP.mdx b/built-in-nodes/SaveAnimatedWEBP.mdx index b10719165..f8df91f39 100644 --- a/built-in-nodes/SaveAnimatedWEBP.mdx +++ b/built-in-nodes/SaveAnimatedWEBP.mdx @@ -5,22 +5,23 @@ sidebarTitle: "SaveAnimatedWEBP" icon: "circle" mode: wide --- - This node is designed for saving a sequence of images as an animated WEBP file. It handles the aggregation of individual frames into a cohesive animation, applying specified metadata, and optimizing the output based on quality and compression settings. ## Inputs -| Field | Data Type | Description | -|-------------------|-------------|-------------------------------------------------------------------------------------| -| `images` | `IMAGE` | A list of images to be saved as frames in the animated WEBP. This parameter is essential for defining the visual content of the animation. | -| `filename_prefix` | `STRING` | Specifies the base name for the output file, which will be appended with a counter and the '.webp' extension. This parameter is crucial for identifying and organizing the saved files. | -| `fps` | `FLOAT` | The frames per second rate for the animation, influencing the playback speed. | -| `lossless` | `BOOLEAN` | A boolean indicating whether to use lossless compression, affecting the file size and quality of the animation. | -| `quality` | `INT` | A value between 0 and 100 that sets the compression quality level, with higher values resulting in better image quality but larger file sizes. | -| `method` | COMBO[STRING] | Specifies the compression method to use, which can impact the encoding speed and file size. | +| Field | Description | Data Type | +| --- | --- | --- | +| `images` | A list of images to be saved as frames in the animated WEBP. This parameter is essential for defining the visual content of the animation. | `IMAGE` | +| `filename_prefix` | Specifies the base name for the output file, which will be appended with a counter and the '.webp' extension. This parameter is crucial for identifying and organizing the saved files. | `STRING` | +| `fps` | The frames per second rate for the animation, influencing the playback speed. | `FLOAT` | +| `lossless` | A boolean indicating whether to use lossless compression, affecting the file size and quality of the animation. | `BOOLEAN` | +| `quality` | A value between 0 and 100 that sets the compression quality level, with higher values resulting in better image quality but larger file sizes. | `INT` | +| `method` | Specifies the compression method to use, which can impact the encoding speed and file size. | COMBO[STRING] | ## Outputs -| Field | Data Type | Description | -|-------|-------------|-----------------------------------------------------------------------------------| -| `ui` | N/A | Provides a UI component displaying the saved animated WEBP images along with their metadata, and indicates whether the animation is enabled. | +| Field | Description | Data Type | +| --- | --- | --- | +| `ui` | Provides a UI component displaying the saved animated WEBP images along with their metadata, and indicates whether the animation is enabled. | N/A | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAnimatedWEBP/en.md) diff --git a/built-in-nodes/SaveAudio.mdx b/built-in-nodes/SaveAudio.mdx index 1463c3f1c..7510c8ac9 100644 --- a/built-in-nodes/SaveAudio.mdx +++ b/built-in-nodes/SaveAudio.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SaveAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudio/en.md) - The SaveAudio node saves audio data to a file in FLAC format. It takes audio input and writes it to the specified output directory with the given filename prefix. The node automatically handles file naming and ensures the audio is properly saved for later use. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | - | The audio data to be saved | -| `filename_prefix` | STRING | No | - | The prefix for the output filename (default: "audio/ComfyUI") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | The audio data to be saved | AUDIO | Yes | - | +| `filename_prefix` | The prefix for the output filename (default: "audio/ComfyUI") | STRING | No | - | *Note: The `prompt` and `extra_pnginfo` parameters are hidden and automatically handled by the system.* ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| *None* | - | This node does not return any output data but saves the audio file to the output directory | +| Output Name | Description | Data Type | +| --- | --- | --- | +| *None* | This node does not return any output data but saves the audio file to the output directory | - | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudio/en.md) --- **Source fingerprint (SHA-256):** `fddb5b1b2e103efa18cd367969193b25753a08e9a56420c39df4645894006ac2` diff --git a/built-in-nodes/SaveAudioAdvanced.mdx b/built-in-nodes/SaveAudioAdvanced.mdx new file mode 100644 index 000000000..0a7a446c6 --- /dev/null +++ b/built-in-nodes/SaveAudioAdvanced.mdx @@ -0,0 +1,33 @@ +--- +title: "SaveAudioAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveAudioAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveAudioAdvanced" +icon: "circle" +mode: wide +--- +# Save Audio (Advanced) + +Saves the input audio to your ComfyUI output directory. This node allows you to export audio in various formats including FLAC, MP3, and Opus with configurable quality settings. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `audio` | The audio to save. | AUDIO | Yes | - | +| `filename_prefix` | The prefix for the file to save. May include formatting tokens such as %date:yyyy-MM-dd%. (default: "audio/ComfyUI") | STRING | Yes | - | +| `format` | The file format in which to save the audio. | COMBO | Yes | "flac"
"mp3"
"opus" | + +When "mp3" is selected as the format, a `quality` sub-parameter becomes available with the following options: "V0", "128k", "320k" (default: "V0"). + +When "opus" is selected as the format, a `quality` sub-parameter becomes available with the following options: "64k", "96k", "128k", "192k", "320k" (default: "128k"). + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `ui` | UI output containing the saved audio file information. | UI | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioAdvanced/en.md) + +--- +**Source fingerprint (SHA-256):** `98314263dd84c562e7c02ba89f3d10551fcb898ac784af2aa397ca8357e4aae8` diff --git a/built-in-nodes/SaveAudioMP3.mdx b/built-in-nodes/SaveAudioMP3.mdx index 6465187f2..93b73bb16 100644 --- a/built-in-nodes/SaveAudioMP3.mdx +++ b/built-in-nodes/SaveAudioMP3.mdx @@ -5,25 +5,25 @@ sidebarTitle: "SaveAudioMP3" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioMP3/en.md) - The SaveAudioMP3 node saves audio data as an MP3 file. It takes audio input and exports it to the specified output directory with customizable filename and quality settings. The node automatically handles file naming and format conversion to create a playable MP3 file. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | - | The audio data to be saved as an MP3 file | -| `filename_prefix` | STRING | No | - | The prefix for the output filename (default: "audio/ComfyUI") | -| `quality` | STRING | No | "V0"
"128k"
"320k" | The audio quality setting for the MP3 file (default: "V0") | -| `prompt` | PROMPT | No | - | Internal prompt data (automatically provided by the system) | -| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Additional PNG information (automatically provided by the system) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | The audio data to be saved as an MP3 file | AUDIO | Yes | - | +| `filename_prefix` | The prefix for the output filename (default: "audio/ComfyUI") | STRING | No | - | +| `quality` | The audio quality setting for the MP3 file (default: "V0") | STRING | No | "V0"
"128k"
"320k" | +| `prompt` | Internal prompt data (automatically provided by the system) | PROMPT | No | - | +| `extra_pnginfo` | Additional PNG information (automatically provided by the system) | EXTRA_PNGINFO | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| *None* | - | This node does not return any output data, but saves the audio file to the output directory | +| Output Name | Description | Data Type | +| --- | --- | --- | +| *None* | This node does not return any output data, but saves the audio file to the output directory | - | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioMP3/en.md) --- **Source fingerprint (SHA-256):** `b238008410f7e8d65b07d79f12cad2cf2ead1fd105bc881a3bef87ab4e71f484` diff --git a/built-in-nodes/SaveAudioOpus.mdx b/built-in-nodes/SaveAudioOpus.mdx index 4d5adbbad..70b89a4d6 100644 --- a/built-in-nodes/SaveAudioOpus.mdx +++ b/built-in-nodes/SaveAudioOpus.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SaveAudioOpus" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioOpus/en.md) - The SaveAudioOpus node saves audio data to an Opus format file. It takes audio input and exports it as a compressed Opus file with configurable quality settings. The node automatically handles file naming and saves the output to the designated output directory. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | - | The audio data to be saved as an Opus file | -| `filename_prefix` | STRING | No | - | The prefix for the output filename (default: "audio/ComfyUI") | -| `quality` | COMBO | No | "64k"
"96k"
"128k"
"192k"
"320k" | The audio quality setting for the Opus file (default: "128k") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | The audio data to be saved as an Opus file | AUDIO | Yes | - | +| `filename_prefix` | The prefix for the output filename (default: "audio/ComfyUI") | STRING | No | - | +| `quality` | The audio quality setting for the Opus file (default: "128k") | COMBO | No | "64k"
"96k"
"128k"
"192k"
"320k" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| - | - | This node does not return any output values. It saves the audio file to disk as its primary function. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| - | This node does not return any output values. It saves the audio file to disk as its primary function. | - | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioOpus/en.md) --- **Source fingerprint (SHA-256):** `d793d9ef7da6bd3f9257ad16ab9dc5b31a16354a2dff1449afcb6980b9e1dc63` diff --git a/built-in-nodes/SaveGLB.mdx b/built-in-nodes/SaveGLB.mdx index ac91fde9f..e7180d17b 100644 --- a/built-in-nodes/SaveGLB.mdx +++ b/built-in-nodes/SaveGLB.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SaveGLB" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveGLB/en.md) - The SaveGLB node saves 3D mesh data or 3D files to the output directory. It accepts mesh data or various 3D file formats (GLB, GLTF, OBJ, FBX, STL, USDZ) and exports them with a specified filename prefix. When saving mesh data, it can handle multiple meshes and automatically adds workflow metadata to the files when metadata is enabled. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `mesh` | MESH or FILE3D | Yes | - | Mesh or 3D file to save. Accepts mesh data or 3D file formats including GLB, GLTF, OBJ, FBX, STL, and USDZ | -| `filename_prefix` | STRING | No | - | The prefix for the output filename (default: "3d/ComfyUI") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `mesh` | Mesh or 3D file to save. Accepts mesh data or 3D file formats including GLB, GLTF, OBJ, FBX, STL, and USDZ | MESH or FILE3D | Yes | - | +| `filename_prefix` | The prefix for the output filename (default: "3d/ComfyUI") | STRING | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `ui` | UI | Displays the saved 3D files in the user interface with filename, subfolder, and type information | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `ui` | Displays the saved 3D files in the user interface with filename, subfolder, and type information | UI | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveGLB/en.md) --- **Source fingerprint (SHA-256):** `ed56f61f60afea7dfbcae8b222aa7129608e3b10bc0daa27934b8c0cbeb1c0e8` diff --git a/built-in-nodes/SaveImage.mdx b/built-in-nodes/SaveImage.mdx index 8af8dcd22..ef6e85908 100644 --- a/built-in-nodes/SaveImage.mdx +++ b/built-in-nodes/SaveImage.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SaveImage" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImage/en.md) - The SaveImage node saves the images it receives to your `ComfyUI/output` directory. It saves each image as a PNG file and can embed workflow metadata, such as the prompt, into the saved file for future reference. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | - | The images to save. | -| `filename_prefix` | STRING | Yes | - | The prefix for the file to save. This may include formatting information such as `%date:yyyy-MM-dd%` or `%Empty Latent Image.width%` to include values from nodes (default: "ComfyUI"). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | The images to save. | IMAGE | Yes | - | +| `filename_prefix` | The prefix for the file to save. This may include formatting information such as `%date:yyyy-MM-dd%` or `%Empty Latent Image.width%` to include values from nodes (default: "ComfyUI"). | STRING | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `ui` | UI_RESULT | This node outputs a UI result containing a list of the saved images with their filenames and subfolders. It does not output data for connecting to other nodes. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `ui` | This node outputs a UI result containing a list of the saved images with their filenames and subfolders. It does not output data for connecting to other nodes. | UI_RESULT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImage/en.md) --- **Source fingerprint (SHA-256):** `fa88c26e5e03f788dcc545434a54124c5e9d03b559da67f0857b52faec0e97e7` diff --git a/built-in-nodes/SaveImageAdvanced.mdx b/built-in-nodes/SaveImageAdvanced.mdx index c5af35e97..7c4becdcd 100644 --- a/built-in-nodes/SaveImageAdvanced.mdx +++ b/built-in-nodes/SaveImageAdvanced.mdx @@ -5,21 +5,19 @@ sidebarTitle: "SaveImageAdvanced" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/en.md) - # SaveImageAdvanced The **SaveImageAdvanced** node saves images to your ComfyUI output directory with advanced control over file format, bit depth, and color space. It supports saving as PNG or EXR files and can embed workflow metadata into the saved files. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | - | The images to save. | -| `filename_prefix` | STRING | Yes | - | The prefix for the file to save. May include formatting tokens such as `%date:yyyy-MM-dd%` or `%Empty Latent Image.width%`. (default: "ComfyUI") | -| `format` | COMBO | Yes | `"png"`
`"exr"` | The file format in which to save the image. Selecting a format reveals additional options for that format. | -| `bit_depth` | COMBO | Yes (conditional) | For PNG: `"8-bit"`
`"16-bit"`
For EXR: `"32-bit float"` | The bit depth for the selected format. This parameter appears when a format is chosen. (default: "8-bit" for PNG, "32-bit float" for EXR) | -| `input_color_space` | COMBO | Yes (conditional) | For PNG: `"sRGB"`
For EXR: `"sRGB"`
`"HDR"`
`"linear"` | Colorspace of the input tensor. For PNG, only sRGB is available. For EXR, the image is always written as scene-linear in the matching gamut. (default: "sRGB") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | The images to save. | IMAGE | Yes | - | +| `filename_prefix` | The prefix for the file to save. May include formatting tokens such as `%date:yyyy-MM-dd%` or `%Empty Latent Image.width%`. (default: "ComfyUI") | STRING | Yes | - | +| `format` | The file format in which to save the image. Selecting a format reveals additional options for that format. | COMBO | Yes | `"png"`
`"exr"` | +| `bit_depth` | The bit depth for the selected format. This parameter appears when a format is chosen. (default: "8-bit" for PNG, "32-bit float" for EXR) | COMBO | Yes (conditional) | For PNG: `"8-bit"`
`"16-bit"`
For EXR: `"32-bit float"` | +| `input_color_space` | Colorspace of the input tensor. For PNG, only sRGB is available. For EXR, the image is always written as scene-linear in the matching gamut. (default: "sRGB") | COMBO | Yes (conditional) | For PNG: `"sRGB"`
For EXR: `"sRGB"`
`"HDR"`
`"linear"` | **Notes on Parameter Dependencies:** - The `bit_depth` and `input_color_space` parameters are only available when a specific `format` is selected. @@ -32,9 +30,11 @@ The **SaveImageAdvanced** node saves images to your ComfyUI output directory wit ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `images` | IMAGE | A list of saved image results, each containing the filename, subfolder, and type ("output"). This output is used for UI display purposes. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `images` | A list of saved image results, each containing the filename, subfolder, and type ("output"). This output is used for UI display purposes. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/en.md) --- **Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5` diff --git a/built-in-nodes/SaveImageDataSetToFolder.mdx b/built-in-nodes/SaveImageDataSetToFolder.mdx index 8bc11d320..ce18cbaf8 100644 --- a/built-in-nodes/SaveImageDataSetToFolder.mdx +++ b/built-in-nodes/SaveImageDataSetToFolder.mdx @@ -5,17 +5,15 @@ sidebarTitle: "SaveImageDataSetToFolder" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/en.md) - This node saves a list of images to a specified folder within ComfyUI's output directory. It takes multiple images as input and writes them to disk with a customizable filename prefix. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | N/A | List of images to save. | -| `folder_name` | STRING | No | N/A | Name of the folder to save images to (inside output directory). The default value is "dataset". | -| `filename_prefix` | STRING | No | N/A | Prefix for saved image filenames. The default value is "image". | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | List of images to save. | IMAGE | Yes | N/A | +| `folder_name` | Name of the folder to save images to (inside output directory). The default value is "dataset". | STRING | No | N/A | +| `filename_prefix` | Prefix for saved image filenames. The default value is "image". | STRING | No | N/A | **Note:** The `images` input is a list, meaning it can receive and process multiple images at once. The `folder_name` and `filename_prefix` parameters are scalar values; if a list is connected, only the first value from that list will be used. @@ -23,5 +21,7 @@ This node saves a list of images to a specified folder within ComfyUI's output d This node does not have any outputs. It is an output node that performs a save operation to the filesystem. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/en.md) + --- **Source fingerprint (SHA-256):** `6a3f5de6e3ef12743bb46f8cbd311ecbed28ea041fe34ae123e918420a444774` diff --git a/built-in-nodes/SaveImageTextDataSetToFolder.mdx b/built-in-nodes/SaveImageTextDataSetToFolder.mdx index 648a8d107..8abf03048 100644 --- a/built-in-nodes/SaveImageTextDataSetToFolder.mdx +++ b/built-in-nodes/SaveImageTextDataSetToFolder.mdx @@ -5,26 +5,26 @@ sidebarTitle: "SaveImageTextDataSetToFolder" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/en.md) - The Save Image and Text Dataset to Folder node saves a list of images and their corresponding text captions to a specified folder within ComfyUI's output directory. For each image saved as a PNG file, a matching text file with the same base name is created to store its caption. This is useful for creating organized datasets of generated images and their descriptions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | - | List of images to save. | -| `texts` | STRING | No | - | List of text captions to save. This input is optional. | -| `folder_name` | STRING | No | - | Name of the folder to save images to (inside output directory). (default: "dataset") | -| `filename_prefix` | STRING | No | - | Prefix for saved image filenames. (default: "image") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | List of images to save. | IMAGE | Yes | - | +| `texts` | List of text captions to save. This input is optional. | STRING | No | - | +| `folder_name` | Name of the folder to save images to (inside output directory). (default: "dataset") | STRING | No | - | +| `filename_prefix` | Prefix for saved image filenames. (default: "image") | STRING | No | - | **Note:** The `images` input is a list. The `texts` input is optional; if provided, it should be a list of text captions. The node expects the number of text captions to match the number of images provided. Each caption will be saved in a `.txt` file corresponding to its paired image. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| - | - | This node does not have any outputs. It saves files directly to the filesystem. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| - | This node does not have any outputs. It saves files directly to the filesystem. | - | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/en.md) --- **Source fingerprint (SHA-256):** `e772e0f9b56af1dfd65a384e22eda2065215c8a9ca0360c93885e39721b0c767` diff --git a/built-in-nodes/SaveLatent.mdx b/built-in-nodes/SaveLatent.mdx index 9aee6e481..35007e462 100644 --- a/built-in-nodes/SaveLatent.mdx +++ b/built-in-nodes/SaveLatent.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SaveLatent" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLatent/en.md) - The SaveLatent node saves latent tensors to disk as files for later use or sharing. It takes latent samples and saves them to the output directory with optional metadata including prompt information. The node automatically handles file naming and organization while preserving the latent data structure. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | Yes | - | The latent samples to be saved to disk | -| `filename_prefix` | STRING | No | - | The prefix for the output filename (default: "latents/ComfyUI") | -| `prompt` | PROMPT | No | - | Prompt information to include in metadata (hidden parameter) | -| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Additional PNG information to include in metadata (hidden parameter) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `samples` | The latent samples to be saved to disk | LATENT | Yes | - | +| `filename_prefix` | The prefix for the output filename (default: "latents/ComfyUI") | STRING | No | - | +| `prompt` | Prompt information to include in metadata (hidden parameter) | PROMPT | No | - | +| `extra_pnginfo` | Additional PNG information to include in metadata (hidden parameter) | EXTRA_PNGINFO | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `ui` | UI | Provides file location information for the saved latent in the ComfyUI interface | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `ui` | Provides file location information for the saved latent in the ComfyUI interface | UI | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLatent/en.md) --- **Source fingerprint (SHA-256):** `dc7fd101c8dd93e2bcc39de64e0c39abe8e056c9e5932587fc6ce80e2fd143e8` diff --git a/built-in-nodes/SaveLoRA.mdx b/built-in-nodes/SaveLoRA.mdx index cb7f7dcb2..73b3af586 100644 --- a/built-in-nodes/SaveLoRA.mdx +++ b/built-in-nodes/SaveLoRA.mdx @@ -5,25 +5,25 @@ sidebarTitle: "SaveLoRA" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRA/en.md) - The SaveLoRA node saves a LoRA (Low-Rank Adaptation) model to a file. It takes a LoRA model as input and writes it to a `.safetensors` file in the output directory. You can specify a filename prefix and an optional step count to be included in the final filename. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `lora` | LORA_MODEL | Yes | N/A | The LoRA model to save. Do not use the model with LoRA layers. | -| `prefix` | STRING | Yes | N/A | The prefix to use for the saved LoRA file (default: "loras/ComfyUI_trained_lora"). | -| `steps` | INT | No | N/A | Optional: The number of steps the LoRA has been trained for, used to name the saved file. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `lora` | The LoRA model to save. Do not use the model with LoRA layers. | LORA_MODEL | Yes | N/A | +| `prefix` | The prefix to use for the saved LoRA file (default: "loras/ComfyUI_trained_lora"). | STRING | Yes | N/A | +| `steps` | Optional: The number of steps the LoRA has been trained for, used to name the saved file. | INT | No | N/A | **Note:** The `lora` input must be a pure LoRA model. Do not provide a base model that has LoRA layers applied to it. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| *None* | N/A | This node does not output any data to the workflow. It is an output node that saves a file to disk. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| *None* | This node does not output any data to the workflow. It is an output node that saves a file to disk. | N/A | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRA/en.md) --- **Source fingerprint (SHA-256):** `0d9bb1adef75214e3ecf5a16f046761d547d21bea41488b0ce80cdc05ed2e81b` diff --git a/built-in-nodes/SaveLoRANode.mdx b/built-in-nodes/SaveLoRANode.mdx index 8344df28a..06464b48b 100644 --- a/built-in-nodes/SaveLoRANode.mdx +++ b/built-in-nodes/SaveLoRANode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SaveLoRANode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRANode/en.md) - The SaveLoRA node saves LoRA (Low-Rank Adaptation) models to your output directory. It takes a LoRA model as input and creates a safetensors file with an automatically generated filename. You can customize the filename prefix and optionally include the training step count in the filename for better organization. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `lora` | LORA_MODEL | Yes | - | The LoRA model to save. Do not use the model with LoRA layers. | -| `prefix` | STRING | Yes | - | The prefix to use for the saved LoRA file (default: "loras/ComfyUI_trained_lora"). | -| `steps` | INT | No | - | Optional: The number of steps the LoRA has been trained for, used to name the saved file. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `lora` | The LoRA model to save. Do not use the model with LoRA layers. | LORA_MODEL | Yes | - | +| `prefix` | The prefix to use for the saved LoRA file (default: "loras/ComfyUI_trained_lora"). | STRING | Yes | - | +| `steps` | Optional: The number of steps the LoRA has been trained for, used to name the saved file. | INT | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| *None* | - | This node does not return any outputs but saves the LoRA model to the output directory. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| *None* | This node does not return any outputs but saves the LoRA model to the output directory. | - | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRANode/en.md) --- **Source fingerprint (SHA-256):** `06a1067433aa4b720b51050b09fbad4870caf12c5e92f788d44ea022a39efef4` diff --git a/built-in-nodes/SaveSVGNode.mdx b/built-in-nodes/SaveSVGNode.mdx index 479ea2ddf..21d8ced83 100644 --- a/built-in-nodes/SaveSVGNode.mdx +++ b/built-in-nodes/SaveSVGNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SaveSVGNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveSVGNode/en.md) - Save SVG files on disk. This node takes SVG data as input and saves it to your output directory with optional metadata embedding. The node automatically handles file naming with counter suffixes and can embed workflow prompt information directly into the SVG file. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `svg` | SVG | Yes | - | The SVG data to be saved to disk | -| `filename_prefix` | STRING | Yes | - | The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes. (default: "svg/ComfyUI") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `svg` | The SVG data to be saved to disk | SVG | Yes | - | +| `filename_prefix` | The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes. (default: "svg/ComfyUI") | STRING | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `ui` | DICT | Returns file information including filename, subfolder, and type for display in the ComfyUI interface | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `ui` | Returns file information including filename, subfolder, and type for display in the ComfyUI interface | DICT | **Note:** This node automatically embeds workflow metadata (prompt and extra PNG information) into the SVG file when available. The metadata is inserted as a CDATA section within the SVG's metadata element. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveSVGNode/en.md) + --- **Source fingerprint (SHA-256):** `f8ac0c8aef01229f605c9b5b18e3f36996ef8bf6333fe31c9ebf32ae7ed76907` diff --git a/built-in-nodes/SaveTrainingDataset.mdx b/built-in-nodes/SaveTrainingDataset.mdx index 64b3ef0db..7eed23a8d 100644 --- a/built-in-nodes/SaveTrainingDataset.mdx +++ b/built-in-nodes/SaveTrainingDataset.mdx @@ -5,18 +5,16 @@ sidebarTitle: "SaveTrainingDataset" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveTrainingDataset/en.md) - This node saves a prepared training dataset to your computer's hard drive. It takes encoded data, which includes image latents and their corresponding text conditioning, and organizes them into multiple smaller files called shards for easier management. The node automatically creates a folder in your output directory and saves both the data files and a metadata file describing the dataset. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `latents` | LATENT | Yes | N/A | List of latent dicts from MakeTrainingDataset. | -| `conditioning` | CONDITIONING | Yes | N/A | List of conditioning lists from MakeTrainingDataset. | -| `folder_name` | STRING | No | N/A | Name of folder to save dataset (inside output directory). (default: "training_dataset") | -| `shard_size` | INT | No | 1 to 100000 | Number of samples per shard file. (default: 1000) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `latents` | List of latent dicts from MakeTrainingDataset. | LATENT | Yes | N/A | +| `conditioning` | List of conditioning lists from MakeTrainingDataset. | CONDITIONING | Yes | N/A | +| `folder_name` | Name of folder to save dataset (inside output directory). (default: "training_dataset") | STRING | No | N/A | +| `shard_size` | Number of samples per shard file. (default: 1000) | INT | No | 1 to 100000 | **Note:** The number of items in the `latents` list must exactly match the number of items in the `conditioning` list. The node will raise an error if these counts do not match. @@ -24,5 +22,7 @@ This node saves a prepared training dataset to your computer's hard drive. It ta This node does not produce any output data. Its function is to save files to your disk. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveTrainingDataset/en.md) + --- **Source fingerprint (SHA-256):** `88ef66ea13cb2cc3ab2c321fc88d84d6431c3503413f651a50a40fbc541b3e54` diff --git a/built-in-nodes/SaveVideo.mdx b/built-in-nodes/SaveVideo.mdx index d49573a09..cc7a9b92d 100644 --- a/built-in-nodes/SaveVideo.mdx +++ b/built-in-nodes/SaveVideo.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SaveVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveVideo/en.md) - The SaveVideo node saves input video content to your ComfyUI output directory. It allows you to specify the filename prefix, video format, and codec for the saved file. The node automatically handles file naming with counter increments and can include workflow metadata in the saved video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | - | The video to save. | -| `filename_prefix` | STRING | No | - | The prefix for the file to save. This may include formatting information such as `%date:yyyy-MM-dd%` or `%Empty Latent Image.width%` to include values from nodes (default: "video/ComfyUI"). | -| `format` | STRING | No | `"auto"`
`"mp4"`
`"webm"`
`"mkv"`
`"gif"` | The format to save the video as (default: "auto"). | -| `codec` | STRING | No | `"auto"`
`"h264"`
`"h265"`
`"vp9"`
`"av1"`
`"prores"` | The codec to use for the video (default: "auto"). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | The video to save. | VIDEO | Yes | - | +| `filename_prefix` | The prefix for the file to save. This may include formatting information such as `%date:yyyy-MM-dd%` or `%Empty Latent Image.width%` to include values from nodes (default: "video/ComfyUI"). | STRING | No | - | +| `format` | The format to save the video as (default: "auto"). | STRING | No | `"auto"`
`"mp4"`
`"webm"`
`"mkv"`
`"gif"` | +| `codec` | The codec to use for the video (default: "auto"). | STRING | No | `"auto"`
`"h264"`
`"h265"`
`"vp9"`
`"av1"`
`"prores"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `ui` | PREVIEW_VIDEO | A preview of the saved video file, including the file path and subfolder information for display in the UI. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `ui` | A preview of the saved video file, including the file path and subfolder information for display in the UI. | PREVIEW_VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveVideo/en.md) --- **Source fingerprint (SHA-256):** `099472641a2bd0125a8b9e416f9b2e15e3d4f999109b159ee298231e36de8432` diff --git a/built-in-nodes/SaveWEBM.mdx b/built-in-nodes/SaveWEBM.mdx index 916be2586..a96149164 100644 --- a/built-in-nodes/SaveWEBM.mdx +++ b/built-in-nodes/SaveWEBM.mdx @@ -5,25 +5,25 @@ sidebarTitle: "SaveWEBM" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveWEBM/en.md) - The SaveWEBM node saves a sequence of images as a WEBM video file. It takes multiple input images and encodes them into a video using either VP9 or AV1 codec with configurable quality settings and frame rate. The resulting video file is saved to the output directory with metadata including prompt information. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | - | Sequence of input images to encode as video frames | -| `filename_prefix` | STRING | No | - | Prefix for the output filename (default: "ComfyUI") | -| `codec` | COMBO | Yes | "vp9"
"av1" | Video codec to use for encoding | -| `fps` | FLOAT | No | 0.01-1000.0 | Frame rate for the output video (default: 24.0) | -| `crf` | FLOAT | No | 0-63.0 | Quality setting where higher crf means lower quality with smaller file size, lower crf means higher quality with larger file size (default: 32.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | Sequence of input images to encode as video frames | IMAGE | Yes | - | +| `filename_prefix` | Prefix for the output filename (default: "ComfyUI") | STRING | No | - | +| `codec` | Video codec to use for encoding | COMBO | Yes | "vp9"
"av1" | +| `fps` | Frame rate for the output video (default: 24.0) | FLOAT | No | 0.01-1000.0 | +| `crf` | Quality setting where higher crf means lower quality with smaller file size, lower crf means higher quality with larger file size (default: 32.0) | FLOAT | No | 0-63.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `ui` | PREVIEW | Video preview showing the saved WEBM file | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `ui` | Video preview showing the saved WEBM file | PREVIEW | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveWEBM/en.md) --- **Source fingerprint (SHA-256):** `7ed734af0f4af835c5b52a91389666ec1e0101458aa0f639ef5eeabf1968bfcc` diff --git a/built-in-nodes/ScaleROPE.mdx b/built-in-nodes/ScaleROPE.mdx index 9c303d980..b99cdf396 100644 --- a/built-in-nodes/ScaleROPE.mdx +++ b/built-in-nodes/ScaleROPE.mdx @@ -5,27 +5,27 @@ sidebarTitle: "ScaleROPE" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ScaleROPE/en.md) - The ScaleROPE node allows you to modify the Rotary Position Embedding (ROPE) of a model by applying separate scaling and shifting factors to its X, Y, and T (time) components. This is an advanced, experimental node used to adjust the model's positional encoding behavior. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model whose ROPE parameters will be modified. | -| `scale_x` | FLOAT | No | 0.0 - 100.0 | The scaling factor to apply to the X component of the ROPE (default: 1.0). | -| `shift_x` | FLOAT | No | -256.0 - 256.0 | The shift value to apply to the X component of the ROPE (default: 0.0). | -| `scale_y` | FLOAT | No | 0.0 - 100.0 | The scaling factor to apply to the Y component of the ROPE (default: 1.0). | -| `shift_y` | FLOAT | No | -256.0 - 256.0 | The shift value to apply to the Y component of the ROPE (default: 0.0). | -| `scale_t` | FLOAT | No | 0.0 - 100.0 | The scaling factor to apply to the T (time) component of the ROPE (default: 1.0). | -| `shift_t` | FLOAT | No | -256.0 - 256.0 | The shift value to apply to the T (time) component of the ROPE (default: 0.0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model whose ROPE parameters will be modified. | MODEL | Yes | - | +| `scale_x` | The scaling factor to apply to the X component of the ROPE (default: 1.0). | FLOAT | No | 0.0 - 100.0 | +| `shift_x` | The shift value to apply to the X component of the ROPE (default: 0.0). | FLOAT | No | -256.0 - 256.0 | +| `scale_y` | The scaling factor to apply to the Y component of the ROPE (default: 1.0). | FLOAT | No | 0.0 - 100.0 | +| `shift_y` | The shift value to apply to the Y component of the ROPE (default: 0.0). | FLOAT | No | -256.0 - 256.0 | +| `scale_t` | The scaling factor to apply to the T (time) component of the ROPE (default: 1.0). | FLOAT | No | 0.0 - 100.0 | +| `shift_t` | The shift value to apply to the T (time) component of the ROPE (default: 0.0). | FLOAT | No | -256.0 - 256.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The model with the new ROPE scaling and shifting parameters applied. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The model with the new ROPE scaling and shifting parameters applied. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ScaleROPE/en.md) --- **Source fingerprint (SHA-256):** `4899aaf380aefd7cb41593edb402f166c34e25029e82edddf718bb38e8c2339d` diff --git a/built-in-nodes/Sd4xupscaleConditioning.mdx b/built-in-nodes/Sd4xupscaleConditioning.mdx index b7a7a61f0..10d278028 100644 --- a/built-in-nodes/Sd4xupscaleConditioning.mdx +++ b/built-in-nodes/Sd4xupscaleConditioning.mdx @@ -5,23 +5,24 @@ sidebarTitle: "Sd4xupscaleConditioning" icon: "circle" mode: wide --- - This node specializes in enhancing the resolution of images through a 4x upscale process, incorporating conditioning elements to refine the output. It leverages diffusion techniques to upscale images while allowing for the adjustment of scale ratio and noise augmentation to fine-tune the enhancement process. ## Inputs -| Parameter | Comfy dtype | Description | -|----------------------|--------------------|-------------| -| `images` | `IMAGE` | The input images to be upscaled. This parameter is crucial as it directly influences the quality and resolution of the output images. | -| `positive` | `CONDITIONING` | Positive conditioning elements that guide the upscale process towards desired attributes or features in the output images. | -| `negative` | `CONDITIONING` | Negative conditioning elements that the upscale process should avoid, helping to steer the output away from undesired attributes or features. | -| `scale_ratio` | `FLOAT` | Determines the factor by which the image resolution is increased. A higher scale ratio results in a larger output image, allowing for greater detail and clarity. | -| `noise_augmentation` | `FLOAT` | Controls the level of noise augmentation applied during the upscale process. This can be used to introduce variability and improve the robustness of the output images. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `images` | The input images to be upscaled. This parameter is crucial as it directly influences the quality and resolution of the output images. | `IMAGE` | +| `positive` | Positive conditioning elements that guide the upscale process towards desired attributes or features in the output images. | `CONDITIONING` | +| `negative` | Negative conditioning elements that the upscale process should avoid, helping to steer the output away from undesired attributes or features. | `CONDITIONING` | +| `scale_ratio` | Determines the factor by which the image resolution is increased. A higher scale ratio results in a larger output image, allowing for greater detail and clarity. | `FLOAT` | +| `noise_augmentation` | Controls the level of noise augmentation applied during the upscale process. This can be used to introduce variability and improve the robustness of the output images. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|---------------|--------------|-------------| -| `positive` | `CONDITIONING` | The refined positive conditioning elements resulting from the upscale process. | -| `negative` | `CONDITIONING` | The refined negative conditioning elements resulting from the upscale process. | -| `latent` | `LATENT` | A latent representation generated during the upscale process, which can be utilized in further processing or model training. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `positive` | The refined positive conditioning elements resulting from the upscale process. | `CONDITIONING` | +| `negative` | The refined negative conditioning elements resulting from the upscale process. | `CONDITIONING` | +| `latent` | A latent representation generated during the upscale process, which can be utilized in further processing or model training. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Sd4xupscaleConditioning/en.md) diff --git a/built-in-nodes/SeedVR2Conditioning.mdx b/built-in-nodes/SeedVR2Conditioning.mdx new file mode 100644 index 000000000..e8275c042 --- /dev/null +++ b/built-in-nodes/SeedVR2Conditioning.mdx @@ -0,0 +1,31 @@ +--- +title: "SeedVR2Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SeedVR2Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SeedVR2Conditioning" +icon: "circle" +mode: wide +--- +# Apply SeedVR2 Conditioning + +This node builds positive and negative conditioning from a VAE latent for use with the SeedVR2 model. It prepares the conditioning data that guides the image or video generation process. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `model` | The SeedVR2 model. | MODEL | Yes | - | +| `vae_conditioning` | The VAE latent to build conditioning from. | LATENT | Yes | - | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `model` | The SeedVR2 model. | MODEL | +| `positive` | The positive conditioning for guiding generation. | CONDITIONING | +| `negative` | The negative conditioning for guiding generation. | CONDITIONING | +| `latent` | The processed latent samples. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SeedVR2Conditioning/en.md) + +--- +**Source fingerprint (SHA-256):** `8f99c0e712c5c6fc76261d6d72c5c08b7202c77827ecf2549240fc530c1b65bd` diff --git a/built-in-nodes/SeedVR2PostProcessing.mdx b/built-in-nodes/SeedVR2PostProcessing.mdx new file mode 100644 index 000000000..1cc700dc4 --- /dev/null +++ b/built-in-nodes/SeedVR2PostProcessing.mdx @@ -0,0 +1,31 @@ +--- +title: "SeedVR2PostProcessing - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SeedVR2PostProcessing node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SeedVR2PostProcessing" +icon: "circle" +mode: wide +--- +# Post-Process SeedVR2 Output + +This node aligns the generated image with the original resized image and applies optional color correction. It takes the output from a SeedVR2 upscaling process and adjusts it to match the colors and dimensions of the original reference image. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `images` | The generated image to process. | IMAGE | Yes | - | +| `original_resized_images` | The original resized image before pre-processing, used as reference. | IMAGE | Yes | - | +| `color_correction_method` | Method to match the generated image colors to the original image. lab: transfer color in CIELAB space, preserving detail (most faithful). wavelet: transfer low-frequency color, keeping upscaled high-frequency detail. adain: match per-channel mean/std (fastest, global tint). none: skip color transfer (geometry alignment only). (default: "lab") | COMBO | Yes | `"lab"`
`"wavelet"`
`"adain"`
`"none"` | + +**Note:** The `images` and `original_resized_images` inputs must have matching dimensions. If the original image has an alpha channel (4 channels), it will be preserved and applied to the output. + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `images` | The processed image with color correction applied and dimensions aligned to the reference image. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SeedVR2PostProcessing/en.md) + +--- +**Source fingerprint (SHA-256):** `befbe8ccd591c8064a07ae4bb8df853c7ce10f3de83ebfa9214755c22faf28b0` diff --git a/built-in-nodes/SeedVR2Preprocess.mdx b/built-in-nodes/SeedVR2Preprocess.mdx new file mode 100644 index 000000000..198dcf9d2 --- /dev/null +++ b/built-in-nodes/SeedVR2Preprocess.mdx @@ -0,0 +1,27 @@ +--- +title: "SeedVR2Preprocess - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SeedVR2Preprocess node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SeedVR2Preprocess" +icon: "circle" +mode: wide +--- +# Pre-Process SeedVR2 Input + +This node pads a resized image to prepare it for the SeedVR2 model. It removes the alpha channel during processing, which is later restored by the companion Post-Process SeedVR2 Output node using the original resized image. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `resized_images` | The resized image to process. | IMAGE | Yes | - | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `images` | The padded image ready for SeedVR2 processing. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SeedVR2Preprocess/en.md) + +--- +**Source fingerprint (SHA-256):** `b8135d0e27f75a673f52d080c6704de8cc86d15b5d16eca055d55e2d20837dc7` diff --git a/built-in-nodes/SeedVR2ProgressiveSampler.mdx b/built-in-nodes/SeedVR2ProgressiveSampler.mdx new file mode 100644 index 000000000..78a5673ee --- /dev/null +++ b/built-in-nodes/SeedVR2ProgressiveSampler.mdx @@ -0,0 +1,45 @@ +--- +title: "SeedVR2ProgressiveSampler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SeedVR2ProgressiveSampler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SeedVR2ProgressiveSampler" +icon: "circle" +mode: wide +--- +# SeedVR2ProgressiveSampler + +Sequential temporal chunking sampler for SeedVR2 native workflows. This node processes long video latents by splitting them into smaller temporal chunks, sampling each chunk sequentially, and blending the results together. It serves as a drop-in replacement for the standard KSampler when working with SeedVR2 models on sequences that would otherwise cause out-of-memory errors. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `model` | The model used for denoising the input latent | MODEL | Yes | | +| `seed` | The random seed used for creating the noise (default: 0) | INT | Yes | 0 to 0xffffffffffffffff | +| `steps` | The number of steps used in the denoising process (default: 20) | INT | Yes | 1 to 10000 | +| `cfg` | The Classifier-Free Guidance scale balances creativity and adherence to the prompt. Higher values result in images more closely matching the prompt however too high values will negatively impact quality (default: 1.0) | FLOAT | Yes | 0.0 to 100.0 | +| `sampler_name` | The algorithm used when sampling, this can affect the quality, speed, and style of the generated output | COMBO | Yes | Multiple options available | +| `scheduler` | The scheduler controls how noise is gradually removed to form the image | COMBO | Yes | Multiple options available | +| `positive` | The conditioning describing the attributes you want to include in the image | CONDITIONING | Yes | | +| `negative` | The conditioning describing the attributes you want to exclude from the image | CONDITIONING | Yes | | +| `latent` | The latent image to denoise | LATENT | Yes | | +| `denoise` | The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 | +| `frames_per_chunk` | Pixel frames per temporal chunk. Must be a 4n+1 value (1, 5, 9, 13, 17, 21, ...) to match SeedVR2 constraints (default: 21) | INT | Yes | 1 to 16384 (step of 4) | +| `temporal_overlap` | Latent frames blended between adjacent chunks to hide the seam; 0 means no blend (default: 0) | INT | Yes | 0 to 16384 | +| `chunking_mode` | manual = use frames_per_chunk exactly; auto = shrink the chunk until it fits in VRAM (default: "manual") | COMBO | Yes | "manual"
"auto" | + +**Note on `frames_per_chunk`:** This parameter must be a 4n+1 pixel-frame count (1, 5, 9, 13, 17, 21, ...). The node will raise an error if an invalid value is provided. + +**Note on `temporal_overlap`:** The overlap value is automatically capped to be at most one less than the latent chunk size to ensure valid chunk processing. + +**Note on `chunking_mode`:** When set to "auto", the node will automatically try smaller chunk sizes if the current chunk causes an out-of-memory error. If all attempts fail, the node raises an error. + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `latent` | The denoised latent output, concatenated from all temporal chunks back into a single collapsed SeedVR2 latent tensor | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SeedVR2ProgressiveSampler/en.md) + +--- +**Source fingerprint (SHA-256):** `a4574c3e619954b5569551b5b2ba112ecbff918dcebb5ba718a14e77701144a9` diff --git a/built-in-nodes/SelectCLIPDevice.mdx b/built-in-nodes/SelectCLIPDevice.mdx index 9cbf2e3cf..0dff964a6 100644 --- a/built-in-nodes/SelectCLIPDevice.mdx +++ b/built-in-nodes/SelectCLIPDevice.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SelectCLIPDevice" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectCLIPDevice/en.md) - ## Overview The Select CLIP Device node lets you choose which device (CPU or a specific GPU) the CLIP text encoder runs on. By default, the device is assigned by the model loader, but you can override it to use the CPU or a particular GPU. If the requested device doesn't exist on your machine, the node simply passes the CLIP through unchanged and logs a message instead of causing an error. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | | The CLIP text encoder to assign to a specific device. | -| `device` | COMBO | Yes | `"default"`
`"cpu"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | The device to place the CLIP text encoder on. `"default"` restores the device assigned by the loader. `"cpu"` pins both the load and offload device to CPU. `"gpu:N"` pins the load device to the Nth available GPU (default: `"default"`). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP text encoder to assign to a specific device. | CLIP | Yes | | +| `device` | The device to place the CLIP text encoder on. `"default"` restores the device assigned by the loader. `"cpu"` pins both the load and offload device to CPU. `"gpu:N"` pins the load device to the Nth available GPU (default: `"default"`). | COMBO | Yes | `"default"`
`"cpu"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `clip` | CLIP | The CLIP text encoder assigned to the selected device, or the original CLIP passed through unchanged if the requested device is not available. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `clip` | The CLIP text encoder assigned to the selected device, or the original CLIP passed through unchanged if the requested device is not available. | CLIP | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectCLIPDevice/en.md) --- **Source fingerprint (SHA-256):** `92af94d9f5eea27095cc008debdf7339d26888a0e2cc8bd71ae9c9ba8718eb01` diff --git a/built-in-nodes/SelectModelDevice.mdx b/built-in-nodes/SelectModelDevice.mdx index 8cc30e71d..d38a8a9e8 100644 --- a/built-in-nodes/SelectModelDevice.mdx +++ b/built-in-nodes/SelectModelDevice.mdx @@ -5,18 +5,16 @@ sidebarTitle: "SelectModelDevice" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectModelDevice/en.md) - ## Overview The SelectModelDevice node allows you to manually choose which device (CPU or a specific GPU) a diffusion model runs on. It can move a model to a different device, and it handles conflicts with other multi-GPU nodes automatically. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | | The diffusion model to place on a specific device. | -| `device` | COMBO | Yes | `"default"`
`"cpu"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | The target device for the model. Options are dynamically generated based on available GPUs. (default: "default") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to place on a specific device. | MODEL | Yes | | +| `device` | The target device for the model. Options are dynamically generated based on available GPUs. (default: "default") | COMBO | Yes | `"default"`
`"cpu"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | **Parameter Details:** - `"default"`: Restores the device assigned by the model loader, even if a previous SelectModelDevice node changed it. @@ -30,9 +28,11 @@ The SelectModelDevice node allows you to manually choose which device (CPU or a ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The diffusion model, now placed on the selected device. If the device was invalid or unavailable, the model is passed through unchanged. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The diffusion model, now placed on the selected device. If the device was invalid or unavailable, the model is passed through unchanged. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectModelDevice/en.md) --- **Source fingerprint (SHA-256):** `02841975f123cc8ae8152ea86f1798e0e7e68255ecd11e04271da886b75eb0fd` diff --git a/built-in-nodes/SelectVAEDevice.mdx b/built-in-nodes/SelectVAEDevice.mdx index c05fe39a8..29dfcc77b 100644 --- a/built-in-nodes/SelectVAEDevice.mdx +++ b/built-in-nodes/SelectVAEDevice.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SelectVAEDevice" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectVAEDevice/en.md) - ## Overview This node allows you to manually select which GPU device the VAE model should be placed on. By default, the VAE is placed on the device assigned by the model loader, but you can pin it to a specific GPU (e.g., `gpu:0`, `gpu:1`). If the selected device is not available on your machine, the node will pass the VAE through unchanged and log a message instead of failing. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `vae` | VAE | Yes | | The VAE model to assign to a specific device. | -| `device` | COMBO | Yes | `"default"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | The target device for the VAE. `"default"` restores the device assigned by the loader. `"gpu:N"` pins the VAE to the Nth available GPU. CPU is not a supported choice and will be ignored if provided. (default: `"default"`) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `vae` | The VAE model to assign to a specific device. | VAE | Yes | | +| `device` | The target device for the VAE. `"default"` restores the device assigned by the loader. `"gpu:N"` pins the VAE to the Nth available GPU. CPU is not a supported choice and will be ignored if provided. (default: `"default"`) | COMBO | Yes | `"default"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `vae` | VAE | The VAE model, now assigned to the selected device. If the requested device is unavailable or invalid, the VAE is passed through unchanged. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `vae` | The VAE model, now assigned to the selected device. If the requested device is unavailable or invalid, the VAE is passed through unchanged. | VAE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectVAEDevice/en.md) --- **Source fingerprint (SHA-256):** `011154043fc02f930b0074de656bb24baf4dfe74bcfd2e89ea76284f0a5b7d8e` diff --git a/built-in-nodes/SelfAttentionGuidance.mdx b/built-in-nodes/SelfAttentionGuidance.mdx index 977aa6602..1e770827e 100644 --- a/built-in-nodes/SelfAttentionGuidance.mdx +++ b/built-in-nodes/SelfAttentionGuidance.mdx @@ -5,25 +5,25 @@ sidebarTitle: "SelfAttentionGuidance" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelfAttentionGuidance/en.md) - The Self-Attention Guidance node applies guidance to diffusion models by modifying the attention mechanism during the sampling process. It captures attention scores from unconditional denoising steps and uses them to create blurred guidance maps that influence the final output. This technique helps guide the generation process by leveraging the model's own attention patterns. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model to apply self-attention guidance to | -| `scale` | FLOAT | No | -2.0 to 5.0 | The strength of the self-attention guidance effect (default: 0.5) | -| `blur_sigma` | FLOAT | No | 0.0 to 10.0 | The amount of blur applied to create the guidance map (default: 2.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to apply self-attention guidance to | MODEL | Yes | - | +| `scale` | The strength of the self-attention guidance effect (default: 0.5) | FLOAT | No | -2.0 to 5.0 | +| `blur_sigma` | The amount of blur applied to create the guidance map (default: 2.0) | FLOAT | No | 0.0 to 10.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with self-attention guidance applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with self-attention guidance applied | MODEL | **Note:** This node is currently experimental and has limitations with chunked batches. It can only save attention scores from one UNet call and may not work properly with larger batch sizes. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelfAttentionGuidance/en.md) + --- **Source fingerprint (SHA-256):** `ab8f7a0cf19c85f8e77b2d6b380c0224a407a900a42341de7503f5394a3216fb` diff --git a/built-in-nodes/SetClipHooks.mdx b/built-in-nodes/SetClipHooks.mdx index 016e1d474..eb851e9e4 100644 --- a/built-in-nodes/SetClipHooks.mdx +++ b/built-in-nodes/SetClipHooks.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SetClipHooks" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetClipHooks/en.md) - The SetClipHooks node allows you to apply custom hooks to a CLIP model, enabling advanced modifications to its behavior. It can apply hooks to conditioning outputs and optionally enable clip scheduling functionality. This node creates a cloned copy of the input CLIP model with the specified hook configurations applied. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | The CLIP model to apply hooks to | -| `apply_to_conds` | BOOLEAN | Yes | - | Whether to apply hooks to conditioning outputs (default: True) | -| `schedule_clip` | BOOLEAN | Yes | - | Whether to enable clip scheduling (default: False) | -| `hooks` | HOOKS | No | - | Optional hook group to apply to the CLIP model | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model to apply hooks to | CLIP | Yes | - | +| `apply_to_conds` | Whether to apply hooks to conditioning outputs (default: True) | BOOLEAN | Yes | - | +| `schedule_clip` | Whether to enable clip scheduling (default: False) | BOOLEAN | Yes | - | +| `hooks` | Optional hook group to apply to the CLIP model | HOOKS | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `clip` | CLIP | A cloned CLIP model with the specified hooks applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `clip` | A cloned CLIP model with the specified hooks applied | CLIP | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetClipHooks/en.md) --- **Source fingerprint (SHA-256):** `904a878638c015bdce1983ae0c11a2b580b271090fca39edb304f6ed90c8c66d` diff --git a/built-in-nodes/SetFirstSigma.mdx b/built-in-nodes/SetFirstSigma.mdx index 64334cc7d..26ca5e156 100644 --- a/built-in-nodes/SetFirstSigma.mdx +++ b/built-in-nodes/SetFirstSigma.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SetFirstSigma" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetFirstSigma/en.md) - The SetFirstSigma node modifies a sequence of sigma values by replacing the first sigma value in the sequence with a custom value. It takes an existing sigma sequence and a new sigma value as inputs, then returns a new sigma sequence where only the first element has been changed while keeping all other sigma values unchanged. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `sigmas` | SIGMAS | Yes | - | The input sequence of sigma values to be modified | -| `sigma` | FLOAT | Yes | 0.0 to 20000.0 | The new sigma value to set as the first element in the sequence (default: 136.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `sigmas` | The input sequence of sigma values to be modified | SIGMAS | Yes | - | +| `sigma` | The new sigma value to set as the first element in the sequence (default: 136.0) | FLOAT | Yes | 0.0 to 20000.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | The modified sigma sequence with the first element replaced by the custom sigma value | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `sigmas` | The modified sigma sequence with the first element replaced by the custom sigma value | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetFirstSigma/en.md) --- **Source fingerprint (SHA-256):** `7f5a5fa4b4aaa4cf31a725df74821ad400bf951320b1ce004087d7ec53668b63` diff --git a/built-in-nodes/SetHookKeyframes.mdx b/built-in-nodes/SetHookKeyframes.mdx index fecfebe07..f114b2632 100644 --- a/built-in-nodes/SetHookKeyframes.mdx +++ b/built-in-nodes/SetHookKeyframes.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SetHookKeyframes" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetHookKeyframes/en.md) - The Set Hook Keyframes node allows you to apply keyframe scheduling to existing hook groups. It takes a hook group and optionally applies keyframe timing information to control when different hooks are executed during the generation process. When keyframes are provided, the node clones the hook group and sets the keyframe timing on all hooks within the group. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `hooks` | HOOKS | Yes | - | The hook group to which keyframe scheduling will be applied | -| `hook_kf` | HOOK_KEYFRAMES | No | - | Optional keyframe group containing timing information for hook execution | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `hooks` | The hook group to which keyframe scheduling will be applied | HOOKS | Yes | - | +| `hook_kf` | Optional keyframe group containing timing information for hook execution | HOOK_KEYFRAMES | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `hooks` | HOOKS | The modified hook group with keyframe scheduling applied (cloned if keyframes were provided) | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `hooks` | The modified hook group with keyframe scheduling applied (cloned if keyframes were provided) | HOOKS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetHookKeyframes/en.md) --- **Source fingerprint (SHA-256):** `48908e5247b18e5b7b1d894c2f1adcf6403e499125b0c3eb05978584b3d5759b` diff --git a/built-in-nodes/SetLatentNoiseMask.mdx b/built-in-nodes/SetLatentNoiseMask.mdx index 989d883e6..067db636e 100644 --- a/built-in-nodes/SetLatentNoiseMask.mdx +++ b/built-in-nodes/SetLatentNoiseMask.mdx @@ -5,18 +5,19 @@ sidebarTitle: "SetLatentNoiseMask" icon: "circle" mode: wide --- - This node is designed to apply a noise mask to a set of latent samples. It modifies the input samples by integrating a specified mask, thereby altering their noise characteristics. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `samples` | `LATENT` | The latent samples to which the noise mask will be applied. This parameter is crucial for determining the base content that will be modified. | -| `mask` | `MASK` | The mask to be applied to the latent samples. It defines the areas and intensity of noise alteration within the samples. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples` | The latent samples to which the noise mask will be applied. This parameter is crucial for determining the base content that will be modified. | `LATENT` | +| `mask` | The mask to be applied to the latent samples. It defines the areas and intensity of noise alteration within the samples. | `MASK` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The modified latent samples with the applied noise mask. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The modified latent samples with the applied noise mask. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetLatentNoiseMask/en.md) diff --git a/built-in-nodes/SetModelHooksOnCond.mdx b/built-in-nodes/SetModelHooksOnCond.mdx index 869f2f8d7..cdb174e78 100644 --- a/built-in-nodes/SetModelHooksOnCond.mdx +++ b/built-in-nodes/SetModelHooksOnCond.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SetModelHooksOnCond" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetModelHooksOnCond/en.md) - This node attaches custom hooks to conditioning data, allowing you to intercept and modify the conditioning process during model execution. It takes a set of hooks and applies them to the provided conditioning data, enabling advanced customization of the text-to-image generation workflow. The modified conditioning with attached hooks is then returned for use in subsequent processing steps. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | Yes | - | The conditioning data to which hooks will be attached | -| `hooks` | HOOKS | Yes | - | The hook definitions that will be applied to the conditioning data | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `conditioning` | The conditioning data to which hooks will be attached | CONDITIONING | Yes | - | +| `hooks` | The hook definitions that will be applied to the conditioning data | HOOKS | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `conditioning` | CONDITIONING | The modified conditioning data with hooks attached | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `conditioning` | The modified conditioning data with hooks attached | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetModelHooksOnCond/en.md) --- **Source fingerprint (SHA-256):** `a6e63a3a4d94d1b66a82d449af5ae001e1fc4a04f0f81d9fb5c4f8c13e5bdf8b` diff --git a/built-in-nodes/SetUnionControlNetType.mdx b/built-in-nodes/SetUnionControlNetType.mdx index ae56bfebb..0c939adb2 100644 --- a/built-in-nodes/SetUnionControlNetType.mdx +++ b/built-in-nodes/SetUnionControlNetType.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SetUnionControlNetType" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetUnionControlNetType/en.md) - The SetUnionControlNetType node allows you to specify the type of control network to use for conditioning. It takes an existing control network and sets its control type based on your selection, creating a modified copy of the control network with the specified type configuration. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `control_net` | CONTROL_NET | Yes | - | The control network to modify with a new type setting | -| `type` | STRING | Yes | `"auto"`
All available UNION_CONTROLNET_TYPES keys | The control network type to apply. Use "auto" for automatic type detection or select a specific control network type from the available options (default: "auto") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `control_net` | The control network to modify with a new type setting | CONTROL_NET | Yes | - | +| `type` | The control network type to apply. Use "auto" for automatic type detection or select a specific control network type from the available options (default: "auto") | STRING | Yes | `"auto"`
All available UNION_CONTROLNET_TYPES keys | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `control_net` | CONTROL_NET | The modified control network with the specified type setting applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `control_net` | The modified control network with the specified type setting applied | CONTROL_NET | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetUnionControlNetType/en.md) --- **Source fingerprint (SHA-256):** `a2f8695c64490f0700a035c8c2e724b9c29796fb220ed7fdd13651545a3158e6` diff --git a/built-in-nodes/ShuffleDataset.mdx b/built-in-nodes/ShuffleDataset.mdx index dfc0902e7..4303bfb40 100644 --- a/built-in-nodes/ShuffleDataset.mdx +++ b/built-in-nodes/ShuffleDataset.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ShuffleDataset" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleDataset/en.md) - The Shuffle Dataset node takes a list of images and randomly changes their order. It uses a seed value to control the randomness, ensuring the same shuffle order can be reproduced. This is useful for randomizing the sequence of images in a dataset before processing. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | - | The list of images to be shuffled. | -| `seed` | INT | No | 0 to 18446744073709551615 | Random seed. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | The list of images to be shuffled. | IMAGE | Yes | - | +| `seed` | Random seed. (default: 0) | INT | No | 0 to 18446744073709551615 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `images` | IMAGE | The same list of images, but in a new, randomly shuffled order. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `images` | The same list of images, but in a new, randomly shuffled order. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleDataset/en.md) --- **Source fingerprint (SHA-256):** `6cde5dcf15817ab98f35f7b2e40fe79a5451c86dba93c0e3cd2622d1cec76c36` diff --git a/built-in-nodes/ShuffleImageTextDataset.mdx b/built-in-nodes/ShuffleImageTextDataset.mdx index 3cde79c1e..ea6566f04 100644 --- a/built-in-nodes/ShuffleImageTextDataset.mdx +++ b/built-in-nodes/ShuffleImageTextDataset.mdx @@ -5,26 +5,26 @@ sidebarTitle: "ShuffleImageTextDataset" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleImageTextDataset/en.md) - This node shuffles a list of images and a list of texts together, keeping their pairings intact. It uses a random seed to determine the shuffle order, ensuring the same input lists will be shuffled in the same way each time the seed is reused. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | - | List of images to shuffle. | -| `texts` | STRING | Yes | - | List of texts to shuffle. | -| `seed` | INT | No | 0 to 18446744073709551615 | Random seed. The shuffle order is determined by this value (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | List of images to shuffle. | IMAGE | Yes | - | +| `texts` | List of texts to shuffle. | STRING | Yes | - | +| `seed` | Random seed. The shuffle order is determined by this value (default: 0). | INT | No | 0 to 18446744073709551615 | **Note:** The `images` and `texts` inputs must be lists of the same length. The node will pair the first image with the first text, the second image with the second text, and so on, before shuffling these pairs together. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `images` | IMAGE | The shuffled list of images. | -| `texts` | STRING | The shuffled list of texts, maintaining their original pairings with the images. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `images` | The shuffled list of images. | IMAGE | +| `texts` | The shuffled list of texts, maintaining their original pairings with the images. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleImageTextDataset/en.md) --- **Source fingerprint (SHA-256):** `77050e9f7255e64b07bd394908b679acef399d78ec9be7c1346d6f297c109968` diff --git a/built-in-nodes/SkipLayerGuidanceDiT.mdx b/built-in-nodes/SkipLayerGuidanceDiT.mdx index d2b9297a0..256be244f 100644 --- a/built-in-nodes/SkipLayerGuidanceDiT.mdx +++ b/built-in-nodes/SkipLayerGuidanceDiT.mdx @@ -5,29 +5,29 @@ sidebarTitle: "SkipLayerGuidanceDiT" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/en.md) - Enhances guidance towards detailed structure by using another set of CFG negative with skipped layers. This generic version of SkipLayerGuidance can be used on every DiT model and is inspired by Perturbed Attention Guidance. The original experimental implementation was created for SD3. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply skip layer guidance to | -| `double_layers` | STRING | Yes | - | Comma-separated layer numbers for double blocks to skip (default: "7, 8, 9") | -| `single_layers` | STRING | Yes | - | Comma-separated layer numbers for single blocks to skip (default: "7, 8, 9") | -| `scale` | FLOAT | Yes | 0.0 - 10.0 | Guidance scale factor (default: 3.0) | -| `start_percent` | FLOAT | Yes | 0.0 - 1.0 | Starting percentage for guidance application (default: 0.01) | -| `end_percent` | FLOAT | Yes | 0.0 - 1.0 | Ending percentage for guidance application (default: 0.15) | -| `rescaling_scale` | FLOAT | Yes | 0.0 - 10.0 | Rescaling scale factor to adjust the output magnitude (default: 0.0, meaning no rescaling) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply skip layer guidance to | MODEL | Yes | - | +| `double_layers` | Comma-separated layer numbers for double blocks to skip (default: "7, 8, 9") | STRING | Yes | - | +| `single_layers` | Comma-separated layer numbers for single blocks to skip (default: "7, 8, 9") | STRING | Yes | - | +| `scale` | Guidance scale factor (default: 3.0) | FLOAT | Yes | 0.0 - 10.0 | +| `start_percent` | Starting percentage for guidance application (default: 0.01) | FLOAT | Yes | 0.0 - 1.0 | +| `end_percent` | Ending percentage for guidance application (default: 0.15) | FLOAT | Yes | 0.0 - 1.0 | +| `rescaling_scale` | Rescaling scale factor to adjust the output magnitude (default: 0.0, meaning no rescaling) | FLOAT | Yes | 0.0 - 10.0 | **Note:** If both `double_layers` and `single_layers` are empty (contain no layer numbers), the node returns the original model without applying any guidance. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with skip layer guidance applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with skip layer guidance applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/en.md) --- **Source fingerprint (SHA-256):** `35ca97f87913d0efcbb502ca040a8f357da112b202184d8786f63acd76809808` diff --git a/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx b/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx index 8dc8980a3..5fbd90707 100644 --- a/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx +++ b/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx @@ -5,27 +5,27 @@ sidebarTitle: "SkipLayerGuidanceDiTSimple" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiTSimple/en.md) - Simple version of the SkipLayerGuidanceDiT node that only modifies the unconditional pass during the denoising process. This node applies skip layer guidance to specific transformer layers in DiT (Diffusion Transformer) models by selectively skipping certain layers during the unconditional pass based on specified timing and layer parameters. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply skip layer guidance to | -| `double_layers` | STRING | No | - | Comma-separated list of double block layer indices to skip (default: "7, 8, 9") | -| `single_layers` | STRING | No | - | Comma-separated list of single block layer indices to skip (default: "7, 8, 9") | -| `start_percent` | FLOAT | No | 0.0 - 1.0 | The starting percentage of the denoising process when skip layer guidance begins (default: 0.0) | -| `end_percent` | FLOAT | No | 0.0 - 1.0 | The ending percentage of the denoising process when skip layer guidance stops (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply skip layer guidance to | MODEL | Yes | - | +| `double_layers` | Comma-separated list of double block layer indices to skip (default: "7, 8, 9") | STRING | No | - | +| `single_layers` | Comma-separated list of single block layer indices to skip (default: "7, 8, 9") | STRING | No | - | +| `start_percent` | The starting percentage of the denoising process when skip layer guidance begins (default: 0.0) | FLOAT | No | 0.0 - 1.0 | +| `end_percent` | The ending percentage of the denoising process when skip layer guidance stops (default: 1.0) | FLOAT | No | 0.0 - 1.0 | **Note:** Skip layer guidance is only applied when both `double_layers` and `single_layers` contain valid layer indices. If both are empty, the node returns the original model unchanged. The skip layer guidance is active only when the current denoising step's sigma value falls between `start_percent` and `end_percent` (converted to sigma values internally). ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with skip layer guidance applied to the specified layers | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with skip layer guidance applied to the specified layers | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiTSimple/en.md) --- **Source fingerprint (SHA-256):** `f153348d75cf3b52d7d7d541f7467e51c797e1fe5844516591db7a191415cdb2` diff --git a/built-in-nodes/SkipLayerGuidanceSD3.mdx b/built-in-nodes/SkipLayerGuidanceSD3.mdx index 6fb588a9f..4ef186515 100644 --- a/built-in-nodes/SkipLayerGuidanceSD3.mdx +++ b/built-in-nodes/SkipLayerGuidanceSD3.mdx @@ -5,25 +5,25 @@ sidebarTitle: "SkipLayerGuidanceSD3" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceSD3/en.md) - The SkipLayerGuidanceSD3 node enhances guidance towards detailed structure by applying an additional set of classifier-free guidance with skipped layers. This experimental implementation is inspired by Perturbed Attention Guidance and works by selectively bypassing certain layers during the negative conditioning process to improve structural details in the generated output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply skip layer guidance to | -| `layers` | STRING | Yes | - | Comma-separated list of layer indices to skip (default: "7, 8, 9") | -| `scale` | FLOAT | Yes | 0.0 - 10.0 | The strength of the skip layer guidance effect (default: 3.0) | -| `start_percent` | FLOAT | Yes | 0.0 - 1.0 | The starting point of guidance application as a percentage of total steps (default: 0.01) | -| `end_percent` | FLOAT | Yes | 0.0 - 1.0 | The ending point of guidance application as a percentage of total steps (default: 0.15) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply skip layer guidance to | MODEL | Yes | - | +| `layers` | Comma-separated list of layer indices to skip (default: "7, 8, 9") | STRING | Yes | - | +| `scale` | The strength of the skip layer guidance effect (default: 3.0) | FLOAT | Yes | 0.0 - 10.0 | +| `start_percent` | The starting point of guidance application as a percentage of total steps (default: 0.01) | FLOAT | Yes | 0.0 - 1.0 | +| `end_percent` | The ending point of guidance application as a percentage of total steps (default: 0.15) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with skip layer guidance applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with skip layer guidance applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceSD3/en.md) --- **Source fingerprint (SHA-256):** `8fba6e3037387e6beab64175099de1c96babdd492609099ba8ad3a49a6c34efe` diff --git a/built-in-nodes/SolidMask.mdx b/built-in-nodes/SolidMask.mdx index c183c5f86..a44e3e274 100644 --- a/built-in-nodes/SolidMask.mdx +++ b/built-in-nodes/SolidMask.mdx @@ -5,19 +5,20 @@ sidebarTitle: "SolidMask" icon: "circle" mode: wide --- - The SolidMask node generates a uniform mask with a specified value across its entire area. It's designed to create masks of specific dimensions and intensity, useful in various image processing and masking tasks. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `value` | FLOAT | Specifies the intensity value of the mask, affecting its overall appearance and utility in subsequent operations. | -| `width` | INT | Determines the width of the generated mask, directly influencing its size and aspect ratio. | -| `height` | INT | Sets the height of the generated mask, affecting its size and aspect ratio. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `value` | Specifies the intensity value of the mask, affecting its overall appearance and utility in subsequent operations. | FLOAT | +| `width` | Determines the width of the generated mask, directly influencing its size and aspect ratio. | INT | +| `height` | Sets the height of the generated mask, affecting its size and aspect ratio. | INT | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `mask` | MASK | Outputs a uniform mask with the specified dimensions and value. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `mask` | Outputs a uniform mask with the specified dimensions and value. | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SolidMask/en.md) diff --git a/built-in-nodes/SoniloTextToMusic.mdx b/built-in-nodes/SoniloTextToMusic.mdx index 63a366cbe..891159f5d 100644 --- a/built-in-nodes/SoniloTextToMusic.mdx +++ b/built-in-nodes/SoniloTextToMusic.mdx @@ -5,25 +5,25 @@ sidebarTitle: "SoniloTextToMusic" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloTextToMusic/en.md) - The Sonilo Text to Music node generates music from a text description using Sonilo's AI model. You provide a prompt describing the music you want, and the node sends a request to the Sonilo service to create an audio file. You can specify a target duration or let the model infer it from your prompt. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text prompt describing the music to generate. This is a required field. | -| `duration` | INT | No | 0 to 360 | Target duration in seconds. Set to 0 to let the model infer the duration from the prompt. Maximum: 6 minutes (360 seconds). Default: 0. | -| `seed` | INT | No | 0 to 18446744073709551615 | Seed for reproducibility. Currently ignored by the Sonilo service but kept for graph consistency. Default: 0. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text prompt describing the music to generate. This is a required field. | STRING | Yes | N/A | +| `duration` | Target duration in seconds. Set to 0 to let the model infer the duration from the prompt. Maximum: 6 minutes (360 seconds). Default: 0. | INT | No | 0 to 360 | +| `seed` | Seed for reproducibility. Currently ignored by the Sonilo service but kept for graph consistency. Default: 0. | INT | No | 0 to 18446744073709551615 | **Note:** The `seed` input is provided for workflow consistency but does not currently affect the output of the Sonilo service. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The generated music as an audio file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The generated music as an audio file. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloTextToMusic/en.md) --- **Source fingerprint (SHA-256):** `3c94a2f1004d01d410be089e5dbb926246cca38fdadadee0597c1843ba53883c` diff --git a/built-in-nodes/SoniloVideoToMusic.mdx b/built-in-nodes/SoniloVideoToMusic.mdx index f30a5e1ab..3d3aa00fe 100644 --- a/built-in-nodes/SoniloVideoToMusic.mdx +++ b/built-in-nodes/SoniloVideoToMusic.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SoniloVideoToMusic" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloVideoToMusic/en.md) - Generate music from video using Sonilo's AI model. This node analyzes the content of an input video and creates a matching piece of music. It uses an external AI service to process the video and generate the audio. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | - | Input video to generate music from. Maximum duration: 6 minutes. | -| `prompt` | STRING | No | - | Optional text prompt to guide music generation. Leave empty for best quality - the model will fully analyze the video content. (default: empty string) | -| `seed` | INT | No | 0 to 18446744073709551615 | Seed for reproducibility. Currently ignored by the Sonilo service but kept for graph consistency. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | Input video to generate music from. Maximum duration: 6 minutes. | VIDEO | Yes | - | +| `prompt` | Optional text prompt to guide music generation. Leave empty for best quality - the model will fully analyze the video content. (default: empty string) | STRING | No | - | +| `seed` | Seed for reproducibility. Currently ignored by the Sonilo service but kept for graph consistency. (default: 0) | INT | No | 0 to 18446744073709551615 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The generated music as an audio file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The generated music as an audio file. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloVideoToMusic/en.md) --- **Source fingerprint (SHA-256):** `6c7965a4cc31d9fce6711b57052fdfbff37ba9decd086b18587ff39cc4fc3a0b` diff --git a/built-in-nodes/SplatToFile3D.mdx b/built-in-nodes/SplatToFile3D.mdx new file mode 100644 index 000000000..a3b69d2fe --- /dev/null +++ b/built-in-nodes/SplatToFile3D.mdx @@ -0,0 +1,30 @@ +--- +title: "SplatToFile3D - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplatToFile3D node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplatToFile3D" +icon: "circle" +mode: wide +--- +# SplatToFile3D Node Documentation + +## Overview + +The SplatToFile3D node converts a gaussian splat into a File3D object that can be used with Save or Preview 3D nodes. It supports one item per batch only and allows you to choose from different output file formats for the exported 3D data. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `splat` | The gaussian splat data to be serialized into a file | SPLAT | Yes | - | +| `format` | The output file format for the 3D file. ply: standard 3D Gaussian Splat with full spherical harmonics. ksplat: mkkellogg SplatBuffer (level 0, uncompressed), base color only. spz: Niantic gzip-compressed (~10x smaller), base color only (default: "ply") | COMBO | Yes | `"ply"`
`"ksplat"`
`"spz"` | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `model_3d` | A File3D object containing the serialized gaussian splat data in the selected format, ready for saving or previewing | FILE3D | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplatToFile3D/en.md) + +--- +**Source fingerprint (SHA-256):** `c04fe04faa8ce81ad699e67c00d047550b0cadbfd037b687331f76944501a9f6` diff --git a/built-in-nodes/SplatToMesh.mdx b/built-in-nodes/SplatToMesh.mdx new file mode 100644 index 000000000..ebbdbcc49 --- /dev/null +++ b/built-in-nodes/SplatToMesh.mdx @@ -0,0 +1,34 @@ +--- +title: "SplatToMesh - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplatToMesh node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplatToMesh" +icon: "circle" +mode: wide +--- +# Extract Mesh from Splat + +This node converts a 3D Gaussian splat into a colored mesh surface. It works by rasterizing the gaussians onto a density grid, extracting an iso-surface at a chosen density level, and then applying optional smoothing and cleanup to produce a clean, colored triangle mesh. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `splat` | The input gaussian splat to convert to a mesh | SPLAT | Yes | - | +| `resolution` | Density-grid resolution along the longest axis. Higher values produce finer surface detail but require more VRAM and processing time (grows with resolution^3). Default: 384 | INT | Yes | 64 - 768 (step 16) | +| `kernel` | Maximum splat half-width in voxels. Each gaussian is rasterized over a window sized to its own 3-sigma, capped at this value. Small surfels stay cheap while large ones aren't truncated. Raise if sparse splats leave gaps. Default: 5 | INT | Yes | 1 - 8 | +| `smooth` | Taubin mesh-smoothing iterations. Smooths the surface without shrinking it (volume-preserving), unlike blurring the density. 0 means no smoothing. Default: 0 | INT | Yes | 0 - 60 | +| `level` | Iso-surface level. Auto-picked by Otsu thresholding; this value biases the auto-pick (1.0 = auto, lower values produce fatter/more-connected surfaces, higher values produce thinner/tighter surfaces). Default: 0.4 | FLOAT | Yes | 0.0 - 2.0 (step 0.01) | +| `min_component` | Drops connected components smaller than this many vertices. Removes detached floater blobs and the inner shell of double walls. 0 keeps all components. Default: 500 | INT | Yes | 0 - 100000 (step 50) | +| `min_opacity` | Ignores gaussians fainter than this value before meshing. Default: 0.02 | FLOAT | Yes | 0.0 - 1.0 (step 0.01) | +| `color_sharpen` | Crisps up the vertex texture. 1.0 gives physically-correct blend; higher values bias each voxel's color toward its dominant gaussian instead of averaging neighbors (de-smears the texture). Affects color only, not geometry. Default: 2.0 | FLOAT | Yes | 1.0 - 8.0 (step 0.5) | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `mesh` | The extracted colored mesh with unlit rendering (emissive-like) to match the splat appearance | MESH | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplatToMesh/en.md) + +--- +**Source fingerprint (SHA-256):** `5a7060c26252b587ce533e5682abe880a6fcc83f6671232489c3de64b094cd84` diff --git a/built-in-nodes/SplitAudioChannels.mdx b/built-in-nodes/SplitAudioChannels.mdx index 55f191a78..b9017cdad 100644 --- a/built-in-nodes/SplitAudioChannels.mdx +++ b/built-in-nodes/SplitAudioChannels.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SplitAudioChannels" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitAudioChannels/en.md) - The SplitAudioChannels node separates stereo audio into individual left and right channels. It takes a stereo audio input with two channels and outputs two separate audio streams, one for the left channel and one for the right channel. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | - | The stereo audio input to be separated into channels | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | The stereo audio input to be separated into channels | AUDIO | Yes | - | **Note:** The input audio must have exactly two channels (stereo). The node will raise an error if the input audio has only one channel. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `left` | AUDIO | The separated left channel audio | -| `right` | AUDIO | The separated right channel audio | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `left` | The separated left channel audio | AUDIO | +| `right` | The separated right channel audio | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitAudioChannels/en.md) --- **Source fingerprint (SHA-256):** `c6e6ecb219e0cb47b003ec9c28fdc060ef83bf1c8bd77d9fb29a088d55a9ab3f` diff --git a/built-in-nodes/SplitImageToTileList.mdx b/built-in-nodes/SplitImageToTileList.mdx index 560641672..c32769ffd 100644 --- a/built-in-nodes/SplitImageToTileList.mdx +++ b/built-in-nodes/SplitImageToTileList.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SplitImageToTileList" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageToTileList/en.md) - The Split Image into List of Tiles node divides a single input image into a series of smaller, overlapping rectangular sections called tiles. It creates a batched list of these tiles, which can be processed individually by other nodes. The size of each tile and the amount of overlap between them can be specified. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be split into tiles. | -| `tile_width` | INT | Yes | 64 to 1048576 | The width of each output tile in pixels (default: 1024). | -| `tile_height` | INT | Yes | 64 to 1048576 | The height of each output tile in pixels (default: 1024). | -| `overlap` | INT | Yes | 0 to 4096 | The number of pixels that adjacent tiles will overlap (default: 128). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be split into tiles. | IMAGE | Yes | - | +| `tile_width` | The width of each output tile in pixels (default: 1024). | INT | Yes | 64 to 1048576 | +| `tile_height` | The height of each output tile in pixels (default: 1024). | INT | Yes | 64 to 1048576 | +| `overlap` | The number of pixels that adjacent tiles will overlap (default: 128). | INT | Yes | 0 to 4096 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | A batched list containing all the individual image tiles. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | A batched list containing all the individual image tiles. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageToTileList/en.md) --- **Source fingerprint (SHA-256):** `4a04e7042446c2368091ffd051c781f9f0ec8496ab681ee9e0741bb269bb54af` diff --git a/built-in-nodes/SplitImageWithAlpha.mdx b/built-in-nodes/SplitImageWithAlpha.mdx index fb9fd02fe..ff7b207d4 100644 --- a/built-in-nodes/SplitImageWithAlpha.mdx +++ b/built-in-nodes/SplitImageWithAlpha.mdx @@ -5,18 +5,19 @@ sidebarTitle: "SplitImageWithAlpha" icon: "circle" mode: wide --- - The SplitImageWithAlpha node is designed to separate the color and alpha components of an image. It processes an input image tensor, extracting the RGB channels as the color component and the alpha channel as the transparency component, facilitating operations that require manipulation of these distinct image aspects. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The 'image' parameter represents the input image tensor from which the RGB and alpha channels are to be separated. It is crucial for the operation as it provides the source data for the split. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The 'image' parameter represents the input image tensor from which the RGB and alpha channels are to be separated. It is crucial for the operation as it provides the source data for the split. | `IMAGE` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The 'image' output represents the separated RGB channels of the input image, providing the color component without the transparency information. | -| `mask` | `MASK` | The 'mask' output represents the separated alpha channel of the input image, providing the transparency information. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The 'image' output represents the separated RGB channels of the input image, providing the color component without the transparency information. | `IMAGE` | +| `mask` | The 'mask' output represents the separated alpha channel of the input image, providing the transparency information. | `MASK` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageWithAlpha/en.md) diff --git a/built-in-nodes/SplitSigmas.mdx b/built-in-nodes/SplitSigmas.mdx index 72daeb0bc..0902c5399 100644 --- a/built-in-nodes/SplitSigmas.mdx +++ b/built-in-nodes/SplitSigmas.mdx @@ -5,18 +5,19 @@ sidebarTitle: "SplitSigmas" icon: "circle" mode: wide --- - The SplitSigmas node is designed for dividing a sequence of sigma values into two parts based on a specified step. This functionality is crucial for operations that require different handling or processing of the initial and subsequent parts of the sigma sequence, enabling more flexible and targeted manipulation of these values. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `sigmas` | `SIGMAS` | The 'sigmas' parameter represents the sequence of sigma values to be split. It is essential for determining the division point and the resulting two sequences of sigma values, impacting the node's execution and results. | -| `step` | `INT` | The 'step' parameter specifies the index at which the sigma sequence should be split. It plays a critical role in defining the boundary between the two resulting sigma sequences, influencing the node's functionality and the characteristics of the output. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `sigmas` | The 'sigmas' parameter represents the sequence of sigma values to be split. It is essential for determining the division point and the resulting two sequences of sigma values, impacting the node's execution and results. | `SIGMAS` | +| `step` | The 'step' parameter specifies the index at which the sigma sequence should be split. It plays a critical role in defining the boundary between the two resulting sigma sequences, influencing the node's functionality and the characteristics of the output. | `INT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `sigmas` | `SIGMAS` | The node outputs two sequences of sigma values, each representing a part of the original sequence divided at the specified step. These outputs are crucial for subsequent operations that require differentiated handling of sigma values. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `sigmas` | The node outputs two sequences of sigma values, each representing a part of the original sequence divided at the specified step. These outputs are crucial for subsequent operations that require differentiated handling of sigma values. | `SIGMAS` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmas/en.md) diff --git a/built-in-nodes/SplitSigmasDenoise.mdx b/built-in-nodes/SplitSigmasDenoise.mdx index 8a72f1368..9e77599f9 100644 --- a/built-in-nodes/SplitSigmasDenoise.mdx +++ b/built-in-nodes/SplitSigmasDenoise.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SplitSigmasDenoise" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmasDenoise/en.md) - The SplitSigmasDenoise node divides a sequence of sigma values into two parts based on a denoising strength parameter. It splits the input sigmas into high and low sigma sequences, where the split point is determined by multiplying the total steps by the denoise factor. This allows for separating the noise schedule into different intensity ranges for specialized processing. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `sigmas` | SIGMAS | Yes | - | The input sequence of sigma values representing the noise schedule | -| `denoise` | FLOAT | Yes | 0.0 - 1.0 | The denoising strength factor that determines where to split the sigma sequence (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `sigmas` | The input sequence of sigma values representing the noise schedule | SIGMAS | Yes | - | +| `denoise` | The denoising strength factor that determines where to split the sigma sequence (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `high_sigmas` | SIGMAS | The first portion of the sigma sequence containing higher sigma values | -| `low_sigmas` | SIGMAS | The second portion of the sigma sequence containing lower sigma values | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `high_sigmas` | The first portion of the sigma sequence containing higher sigma values | SIGMAS | +| `low_sigmas` | The second portion of the sigma sequence containing lower sigma values | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmasDenoise/en.md) --- **Source fingerprint (SHA-256):** `e458c32a51534011712885aa65bfb94bed09a1886954dee07447a7adf41ed456` diff --git a/built-in-nodes/StabilityAudioInpaint.mdx b/built-in-nodes/StabilityAudioInpaint.mdx index 21255993c..5e2d98204 100644 --- a/built-in-nodes/StabilityAudioInpaint.mdx +++ b/built-in-nodes/StabilityAudioInpaint.mdx @@ -5,30 +5,30 @@ sidebarTitle: "StabilityAudioInpaint" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioInpaint/en.md) - Transforms part of an existing audio sample using text instructions. This node allows you to modify specific sections of audio by providing descriptive prompts, effectively "inpainting" or regenerating selected portions while preserving the rest of the audio. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | STRING | Yes | `"stable-audio-2.5"` | The AI model to use for audio inpainting. | -| `prompt` | STRING | Yes | | Text description guiding how the audio should be transformed (default: empty). Maximum length is 10,000 characters. | -| `audio` | AUDIO | Yes | | Input audio file to transform. Audio must be between 6 and 190 seconds long. | -| `duration` | INT | No | 1 to 190 | Controls the duration in seconds of the generated audio (default: 190). | -| `seed` | INT | No | 0 to 4294967294 | The random seed used for generation (default: 0). | -| `steps` | INT | No | 4 to 8 | Controls the number of sampling steps (default: 8). | -| `mask_start` | INT | No | 0 to 190 | Starting position in seconds for the audio section to transform (default: 30). | -| `mask_end` | INT | No | 0 to 190 | Ending position in seconds for the audio section to transform (default: 190). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model to use for audio inpainting. | STRING | Yes | `"stable-audio-2.5"` | +| `prompt` | Text description guiding how the audio should be transformed (default: empty). Maximum length is 10,000 characters. | STRING | Yes | | +| `audio` | Input audio file to transform. Audio must be between 6 and 190 seconds long. | AUDIO | Yes | | +| `duration` | Controls the duration in seconds of the generated audio (default: 190). | INT | No | 1 to 190 | +| `seed` | The random seed used for generation (default: 0). | INT | No | 0 to 4294967294 | +| `steps` | Controls the number of sampling steps (default: 8). | INT | No | 4 to 8 | +| `mask_start` | Starting position in seconds for the audio section to transform (default: 30). | INT | No | 0 to 190 | +| `mask_end` | Ending position in seconds for the audio section to transform (default: 190). | INT | No | 0 to 190 | **Note:** The `mask_end` value must be greater than the `mask_start` value. The input audio must be between 6 and 190 seconds in duration. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The transformed audio output with the specified section modified according to the prompt. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The transformed audio output with the specified section modified according to the prompt. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioInpaint/en.md) --- **Source fingerprint (SHA-256):** `c00d84db73dfcd708495d7a04e21a2378880ca6ceb906473a45dcc1dae20bf79` diff --git a/built-in-nodes/StabilityAudioToAudio.mdx b/built-in-nodes/StabilityAudioToAudio.mdx index 7fefc8a22..9035e7c1c 100644 --- a/built-in-nodes/StabilityAudioToAudio.mdx +++ b/built-in-nodes/StabilityAudioToAudio.mdx @@ -5,29 +5,29 @@ sidebarTitle: "StabilityAudioToAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md) - Transforms existing audio samples into new high-quality compositions using text instructions. This node takes an input audio file and modifies it based on your text prompt to create new audio content. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | "stable-audio-2.5" | The AI model to use for audio transformation | -| `prompt` | STRING | Yes | | Text instructions describing how to transform the audio (default: empty, max length: 10000 characters) | -| `audio` | AUDIO | Yes | | Audio must be between 6 and 190 seconds long | -| `duration` | INT | No | 1-190 | Controls the duration in seconds of the generated audio (default: 190) | -| `seed` | INT | No | 0-4294967294 | The random seed used for generation (default: 0) | -| `steps` | INT | No | 4-8 | Controls the number of sampling steps (default: 8) | -| `strength` | FLOAT | No | 0.01-1.0 | Parameter controls how much influence the audio parameter has on the generated audio (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model to use for audio transformation | COMBO | Yes | "stable-audio-2.5" | +| `prompt` | Text instructions describing how to transform the audio (default: empty, max length: 10000 characters) | STRING | Yes | | +| `audio` | Audio must be between 6 and 190 seconds long | AUDIO | Yes | | +| `duration` | Controls the duration in seconds of the generated audio (default: 190) | INT | No | 1-190 | +| `seed` | The random seed used for generation (default: 0) | INT | No | 0-4294967294 | +| `steps` | Controls the number of sampling steps (default: 8) | INT | No | 4-8 | +| `strength` | Parameter controls how much influence the audio parameter has on the generated audio (default: 1.0) | FLOAT | No | 0.01-1.0 | **Note:** The input audio must be between 6 and 190 seconds in duration. The prompt text has a maximum length of 10,000 characters. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The transformed audio generated based on the input audio and text prompt | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The transformed audio generated based on the input audio and text prompt | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md) --- **Source fingerprint (SHA-256):** `4d320c851a58b58d1a744ca64295fe0cf3002455944ea1c5484b0c2df3ecd4d5` diff --git a/built-in-nodes/StabilityStableImageSD_3_5Node.mdx b/built-in-nodes/StabilityStableImageSD_3_5Node.mdx index 30db94270..544f9ba4b 100644 --- a/built-in-nodes/StabilityStableImageSD_3_5Node.mdx +++ b/built-in-nodes/StabilityStableImageSD_3_5Node.mdx @@ -5,31 +5,31 @@ sidebarTitle: "StabilityStableImageSD_3_5Node" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md) - This node generates images synchronously using Stability AI's Stable Diffusion 3.5 model. It creates images based on text prompts and can also modify existing images when provided as input. The node supports various aspect ratios and style presets to customize the output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | -| `model` | COMBO | Yes | `sd3.5-large`
`sd3.5-large-turbo`
`sd3.5-medium` | The Stable Diffusion 3.5 model to use for generation. | -| `aspect_ratio` | COMBO | Yes | `16:9`
`1:1`
`21:9`
`2:3`
`3:2`
`4:5`
`5:4`
`9:16`
`9:21` | Aspect ratio of generated image. (default: 1:1) | -| `style_preset` | COMBO | No | `3d-model`
`analog-film`
`anime`
`cinematic`
`comic-book`
`digital-art`
`enhance`
`fantasy-art`
`isometric`
`line-art`
`low-poly`
`modeling-compound`
`neon-punk`
`origami`
`photographic`
`pixel-art`
`tile-texture`
`None` | Optional desired style of generated image. Select "None" for no style preset. | -| `cfg_scale` | FLOAT | Yes | 1.0 to 10.0 | How strictly the diffusion process adheres to the prompt text (higher values keep your image closer to your prompt). (default: 4.0) | -| `seed` | INT | Yes | 0 to 4294967294 | The random seed used for creating the noise. (default: 0) | -| `image` | IMAGE | No | - | Optional input image for image-to-image generation. When provided, the node switches to image-to-image mode and the `aspect_ratio` parameter is ignored. | -| `negative_prompt` | STRING | No | - | Keywords of what you do not wish to see in the output image. This is an advanced feature. (default: empty string) | -| `image_denoise` | FLOAT | No | 0.0 to 1.0 | Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all. (default: 0.5) This parameter is only used when an `image` is provided. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | STRING | Yes | - | +| `model` | The Stable Diffusion 3.5 model to use for generation. | COMBO | Yes | `sd3.5-large`
`sd3.5-large-turbo`
`sd3.5-medium` | +| `aspect_ratio` | Aspect ratio of generated image. (default: 1:1) | COMBO | Yes | `16:9`
`1:1`
`21:9`
`2:3`
`3:2`
`4:5`
`5:4`
`9:16`
`9:21` | +| `style_preset` | Optional desired style of generated image. Select "None" for no style preset. | COMBO | No | `3d-model`
`analog-film`
`anime`
`cinematic`
`comic-book`
`digital-art`
`enhance`
`fantasy-art`
`isometric`
`line-art`
`low-poly`
`modeling-compound`
`neon-punk`
`origami`
`photographic`
`pixel-art`
`tile-texture`
`None` | +| `cfg_scale` | How strictly the diffusion process adheres to the prompt text (higher values keep your image closer to your prompt). (default: 4.0) | FLOAT | Yes | 1.0 to 10.0 | +| `seed` | The random seed used for creating the noise. (default: 0) | INT | Yes | 0 to 4294967294 | +| `image` | Optional input image for image-to-image generation. When provided, the node switches to image-to-image mode and the `aspect_ratio` parameter is ignored. | IMAGE | No | - | +| `negative_prompt` | Keywords of what you do not wish to see in the output image. This is an advanced feature. (default: empty string) | STRING | No | - | +| `image_denoise` | Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all. (default: 0.5) This parameter is only used when an `image` is provided. | FLOAT | No | 0.0 to 1.0 | **Note:** When an `image` is provided, the node switches to image-to-image generation mode and the `aspect_ratio` parameter is automatically determined from the input image. When no `image` is provided, the `image_denoise` parameter is ignored. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The generated or modified image. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The generated or modified image. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md) --- **Source fingerprint (SHA-256):** `aa071616da3ff645dfbc885c84706324d555c18772d3cc0d603b5699a0e7dfff` diff --git a/built-in-nodes/StabilityStableImageUltraNode.mdx b/built-in-nodes/StabilityStableImageUltraNode.mdx index e24127437..1324de547 100644 --- a/built-in-nodes/StabilityStableImageUltraNode.mdx +++ b/built-in-nodes/StabilityStableImageUltraNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "StabilityStableImageUltraNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md) - Generates images synchronously based on prompt and resolution. This node creates images using Stability AI's Stable Image Ultra model, processing your text prompt and generating a corresponding image with the specified aspect ratio and style. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. To control the weight of a given word use the format `(word:weight)`, where `word` is the word you'd like to control the weight of and `weight` is a value between 0 and 1. For example: `The sky was a crisp (blue:0.3) and (green:0.8)` would convey a sky that was blue and green, but more green than blue. | -| `aspect_ratio` | COMBO | Yes | `"1:1"`
`"16:9"`
`"21:9"`
`"2:3"`
`"3:2"`
`"4:5"`
`"5:4"`
`"9:16"`
`"9:21"` | Aspect ratio of generated image (default: "1:1"). | -| `style_preset` | COMBO | No | `"3d-model"`
`"analog-film"`
`"anime"`
`"cinematic"`
`"comic-book"`
`"digital-art"`
`"enhance"`
`"fantasy-art"`
`"isometric"`
`"line-art"`
`"low-poly"`
`"modeling-compound"`
`"neon-punk"`
`"origami"`
`"photographic"`
`"pixel-art"`
`"tile-texture"` | Optional desired style of generated image. Select "None" to not apply any style preset. | -| `seed` | INT | Yes | 0 - 4294967294 | The random seed used for creating the noise. | -| `image` | IMAGE | No | - | Optional input image for image-to-image generation. | -| `negative_prompt` | STRING | No | - | A blurb of text describing what you do not wish to see in the output image. This is an advanced feature. | -| `image_denoise` | FLOAT | No | 0.0 - 1.0 | Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all (default: 0.5). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. To control the weight of a given word use the format `(word:weight)`, where `word` is the word you'd like to control the weight of and `weight` is a value between 0 and 1. For example: `The sky was a crisp (blue:0.3) and (green:0.8)` would convey a sky that was blue and green, but more green than blue. | STRING | Yes | - | +| `aspect_ratio` | Aspect ratio of generated image (default: "1:1"). | COMBO | Yes | `"1:1"`
`"16:9"`
`"21:9"`
`"2:3"`
`"3:2"`
`"4:5"`
`"5:4"`
`"9:16"`
`"9:21"` | +| `style_preset` | Optional desired style of generated image. Select "None" to not apply any style preset. | COMBO | No | `"3d-model"`
`"analog-film"`
`"anime"`
`"cinematic"`
`"comic-book"`
`"digital-art"`
`"enhance"`
`"fantasy-art"`
`"isometric"`
`"line-art"`
`"low-poly"`
`"modeling-compound"`
`"neon-punk"`
`"origami"`
`"photographic"`
`"pixel-art"`
`"tile-texture"` | +| `seed` | The random seed used for creating the noise. | INT | Yes | 0 - 4294967294 | +| `image` | Optional input image for image-to-image generation. | IMAGE | No | - | +| `negative_prompt` | A blurb of text describing what you do not wish to see in the output image. This is an advanced feature. | STRING | No | - | +| `image_denoise` | Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all (default: 0.5). | FLOAT | No | 0.0 - 1.0 | **Note:** When an input image is not provided, the `image_denoise` parameter is automatically disabled and ignored. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The generated image based on the input parameters. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated image based on the input parameters. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md) --- **Source fingerprint (SHA-256):** `4d516f67a0e2a8c02f601b4da9fe466b7376d50bb96d6e0dc6ca2cc034c79585` diff --git a/built-in-nodes/StabilityTextToAudio.mdx b/built-in-nodes/StabilityTextToAudio.mdx index ed01bc1c6..0cd700e92 100644 --- a/built-in-nodes/StabilityTextToAudio.mdx +++ b/built-in-nodes/StabilityTextToAudio.mdx @@ -5,25 +5,25 @@ sidebarTitle: "StabilityTextToAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityTextToAudio/en.md) - Generates high-quality music and sound effects from text descriptions. This node uses Stability AI's audio generation technology to create audio content based on your text prompts. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"stable-audio-2.5"` | The audio generation model to use (default: "stable-audio-2.5") | -| `prompt` | STRING | Yes | - | The text description used to generate audio content (default: empty string) | -| `duration` | INT | No | 1-190 | Controls the duration in seconds of the generated audio (default: 190) | -| `seed` | INT | No | 0-4294967294 | The random seed used for generation (default: 0) | -| `steps` | INT | No | 4-8 | Controls the number of sampling steps (default: 8) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The audio generation model to use (default: "stable-audio-2.5") | COMBO | Yes | `"stable-audio-2.5"` | +| `prompt` | The text description used to generate audio content (default: empty string) | STRING | Yes | - | +| `duration` | Controls the duration in seconds of the generated audio (default: 190) | INT | No | 1-190 | +| `seed` | The random seed used for generation (default: 0) | INT | No | 0-4294967294 | +| `steps` | Controls the number of sampling steps (default: 8) | INT | No | 4-8 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The generated audio file based on the text prompt | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The generated audio file based on the text prompt | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityTextToAudio/en.md) --- **Source fingerprint (SHA-256):** `123b166c3879b18854b8d3cf039576d76925664baac63a816a1639d764d869f7` diff --git a/built-in-nodes/StabilityUpscaleConservativeNode.mdx b/built-in-nodes/StabilityUpscaleConservativeNode.mdx index edff8d814..005e7296c 100644 --- a/built-in-nodes/StabilityUpscaleConservativeNode.mdx +++ b/built-in-nodes/StabilityUpscaleConservativeNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "StabilityUpscaleConservativeNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/en.md) - Upscale image with minimal alterations to 4K resolution. This node uses Stability AI's conservative upscaling to increase image resolution while preserving the original content and making only subtle changes. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be upscaled | -| `prompt` | STRING | Yes | - | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | -| `creativity` | FLOAT | Yes | 0.2-0.5 | Controls the likelihood of creating additional details not heavily conditioned by the init image. (default: 0.35) | -| `seed` | INT | Yes | 0-4294967294 | The random seed used for creating the noise. (default: 0) | -| `negative_prompt` | STRING | No | - | Keywords of what you do not wish to see in the output image. This is an advanced feature. (default: empty string) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be upscaled | IMAGE | Yes | - | +| `prompt` | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | STRING | Yes | - | +| `creativity` | Controls the likelihood of creating additional details not heavily conditioned by the init image. (default: 0.35) | FLOAT | Yes | 0.2-0.5 | +| `seed` | The random seed used for creating the noise. (default: 0) | INT | Yes | 0-4294967294 | +| `negative_prompt` | Keywords of what you do not wish to see in the output image. This is an advanced feature. (default: empty string) | STRING | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The upscaled image at 4K resolution | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The upscaled image at 4K resolution | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/en.md) --- **Source fingerprint (SHA-256):** `7fc0cdf98b4edd991070252d8d9736b48acca6038804209ab7163e5516e1ca34` diff --git a/built-in-nodes/StabilityUpscaleCreativeNode.mdx b/built-in-nodes/StabilityUpscaleCreativeNode.mdx index 0d73d99c8..a96ba851f 100644 --- a/built-in-nodes/StabilityUpscaleCreativeNode.mdx +++ b/built-in-nodes/StabilityUpscaleCreativeNode.mdx @@ -5,26 +5,26 @@ sidebarTitle: "StabilityUpscaleCreativeNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md) - Upscale image with minimal alterations to 4K resolution. This node uses Stability AI's creative upscaling technology to enhance image resolution while preserving the original content and adding subtle creative details. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be upscaled | -| `prompt` | STRING | Yes | - | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | -| `creativity` | FLOAT | Yes | 0.1-0.5 | Controls the likelihood of creating additional details not heavily conditioned by the init image. (default: 0.3) | -| `style_preset` | STRING | Yes | `"3d-model"`
`"analog-film"`
`"anime"`
`"cinematic"`
`"comic-book"`
`"digital-art"`
`"enhance"`
`"fantasy-art"`
`"isometric"`
`"line-art"`
`"low-poly"`
`"modeling-compound"`
`"neon-punk"`
`"origami"`
`"photographic"`
`"pixel-art"`
`"tile-texture"` | Optional desired style of generated image. (default: "None") | -| `seed` | INT | Yes | 0-4294967294 | The random seed used for creating the noise. (default: 0) | -| `negative_prompt` | STRING | No | - | Keywords of what you do not wish to see in the output image. This is an advanced feature. (default: empty string) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be upscaled | IMAGE | Yes | - | +| `prompt` | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | STRING | Yes | - | +| `creativity` | Controls the likelihood of creating additional details not heavily conditioned by the init image. (default: 0.3) | FLOAT | Yes | 0.1-0.5 | +| `style_preset` | Optional desired style of generated image. (default: "None") | STRING | Yes | `"3d-model"`
`"analog-film"`
`"anime"`
`"cinematic"`
`"comic-book"`
`"digital-art"`
`"enhance"`
`"fantasy-art"`
`"isometric"`
`"line-art"`
`"low-poly"`
`"modeling-compound"`
`"neon-punk"`
`"origami"`
`"photographic"`
`"pixel-art"`
`"tile-texture"` | +| `seed` | The random seed used for creating the noise. (default: 0) | INT | Yes | 0-4294967294 | +| `negative_prompt` | Keywords of what you do not wish to see in the output image. This is an advanced feature. (default: empty string) | STRING | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The upscaled image at 4K resolution | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The upscaled image at 4K resolution | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md) --- **Source fingerprint (SHA-256):** `1720cc44cc6273b00b3061b44581ba00853e9da32616bc02584335eb6156632c` diff --git a/built-in-nodes/StabilityUpscaleFastNode.mdx b/built-in-nodes/StabilityUpscaleFastNode.mdx index 2b8b46cc3..7add4ccc3 100644 --- a/built-in-nodes/StabilityUpscaleFastNode.mdx +++ b/built-in-nodes/StabilityUpscaleFastNode.mdx @@ -5,21 +5,21 @@ sidebarTitle: "StabilityUpscaleFastNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/en.md) - Quickly upscales an image via Stability API call to 4x its original size. This node is specifically intended for upscaling low-quality or compressed images by sending them to Stability AI's fast upscaling service. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be upscaled | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be upscaled | IMAGE | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The upscaled image returned from the Stability AI API | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The upscaled image returned from the Stability AI API | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/en.md) --- **Source fingerprint (SHA-256):** `fd3b033c3454e3b795806f2759f8416ea091df24cb2878b701983e4286da98c9` diff --git a/built-in-nodes/StableCascade_EmptyLatentImage.mdx b/built-in-nodes/StableCascade_EmptyLatentImage.mdx index 8978f3bde..be95a251d 100644 --- a/built-in-nodes/StableCascade_EmptyLatentImage.mdx +++ b/built-in-nodes/StableCascade_EmptyLatentImage.mdx @@ -5,25 +5,25 @@ sidebarTitle: "StableCascade_EmptyLatentImage" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_EmptyLatentImage/en.md) - The StableCascade_EmptyLatentImage node creates empty latent tensors for Stable Cascade models. It generates two separate latent representations - one for stage C and another for stage B - with appropriate dimensions based on the input resolution and compression settings. This node provides the starting point for the Stable Cascade generation pipeline. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | Yes | 256 to MAX_RESOLUTION | The width of the output image in pixels (default: 1024, step: 8) | -| `height` | INT | Yes | 256 to MAX_RESOLUTION | The height of the output image in pixels (default: 1024, step: 8) | -| `compression` | INT | Yes | 4 to 128 | The compression factor that determines the latent dimensions for stage C (default: 42, step: 1) | -| `batch_size` | INT | No | 1 to 4096 | The number of latent samples to generate in a batch (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `width` | The width of the output image in pixels (default: 1024, step: 8) | INT | Yes | 256 to MAX_RESOLUTION | +| `height` | The height of the output image in pixels (default: 1024, step: 8) | INT | Yes | 256 to MAX_RESOLUTION | +| `compression` | The compression factor that determines the latent dimensions for stage C (default: 42, step: 1) | INT | Yes | 4 to 128 | +| `batch_size` | The number of latent samples to generate in a batch (default: 1) | INT | No | 1 to 4096 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `stage_c` | LATENT | The stage C latent tensor with dimensions [batch_size, 16, height//compression, width//compression] | -| `stage_b` | LATENT | The stage B latent tensor with dimensions [batch_size, 4, height//4, width//4] | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `stage_c` | The stage C latent tensor with dimensions [batch_size, 16, height//compression, width//compression] | LATENT | +| `stage_b` | The stage B latent tensor with dimensions [batch_size, 4, height//4, width//4] | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_EmptyLatentImage/en.md) --- **Source fingerprint (SHA-256):** `072c320d415acbc0ebc5b823855b64f0df29082d18b84a15ac63ec016e64ecf8` diff --git a/built-in-nodes/StableCascade_StageB_Conditioning.mdx b/built-in-nodes/StableCascade_StageB_Conditioning.mdx index fb4172c0e..1529f2b70 100644 --- a/built-in-nodes/StableCascade_StageB_Conditioning.mdx +++ b/built-in-nodes/StableCascade_StageB_Conditioning.mdx @@ -5,22 +5,22 @@ sidebarTitle: "StableCascade_StageB_Conditioning" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageB_Conditioning/en.md) - The StableCascade_StageB_Conditioning node prepares conditioning data for Stable Cascade Stage B generation by combining existing conditioning information with prior latent representations from Stage C. It modifies the conditioning data to include the latent samples from Stage C, enabling the generation process to leverage the prior information for more coherent outputs. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | Yes | - | The conditioning data to be modified with Stage C prior information | -| `stage_c` | LATENT | Yes | - | The latent representation from Stage C containing prior samples for conditioning | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `conditioning` | The conditioning data to be modified with Stage C prior information | CONDITIONING | Yes | - | +| `stage_c` | The latent representation from Stage C containing prior samples for conditioning | LATENT | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The modified conditioning data with Stage C prior information integrated | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The modified conditioning data with Stage C prior information integrated | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageB_Conditioning/en.md) --- **Source fingerprint (SHA-256):** `1679f61320f7f7b929f5166d6f038426256a9e12cc7f72639452fd2734cf712c` diff --git a/built-in-nodes/StableCascade_StageC_VAEEncode.mdx b/built-in-nodes/StableCascade_StageC_VAEEncode.mdx index a429621fb..3fdeb4efc 100644 --- a/built-in-nodes/StableCascade_StageC_VAEEncode.mdx +++ b/built-in-nodes/StableCascade_StageC_VAEEncode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "StableCascade_StageC_VAEEncode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/en.md) - The StableCascade_StageC_VAEEncode node processes an input image through a VAE encoder to generate latent representations for the Stable Cascade model. It first resizes the image based on a compression factor and the VAE's downscale ratio, then encodes the resized image. The node outputs two latent tensors: one for stage C (the actual encoded result) and one for stage B (a zero-filled placeholder). ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be encoded into latent space | -| `vae` | VAE | Yes | - | The VAE model used for encoding the image | -| `compression` | INT | No | 4-128 | The compression factor applied to the image before encoding. The image dimensions are divided by this value, then multiplied by the VAE's downscale ratio. (default: 42) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be encoded into latent space | IMAGE | Yes | - | +| `vae` | The VAE model used for encoding the image | VAE | Yes | - | +| `compression` | The compression factor applied to the image before encoding. The image dimensions are divided by this value, then multiplied by the VAE's downscale ratio. (default: 42) | INT | No | 4-128 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `stage_c` | LATENT | The encoded latent representation for stage C of the Stable Cascade model | -| `stage_b` | LATENT | A placeholder latent representation for stage B. Currently returns a zero-filled tensor with dimensions calculated from the input image size. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `stage_c` | The encoded latent representation for stage C of the Stable Cascade model | LATENT | +| `stage_b` | A placeholder latent representation for stage B. Currently returns a zero-filled tensor with dimensions calculated from the input image size. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/en.md) --- **Source fingerprint (SHA-256):** `6ebdd035349744bc76ab294f16504672d3e79883fccc86d6ea057b4b15faef05` diff --git a/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx b/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx index ba6412466..e03576008 100644 --- a/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx +++ b/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx @@ -5,24 +5,24 @@ sidebarTitle: "StableCascade_SuperResolutionControlnet" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/en.md) - The StableCascade_SuperResolutionControlnet node prepares inputs for Stable Cascade super-resolution processing. It takes an input image and encodes it using a VAE to create controlnet input, while also generating placeholder latent representations for stage C and stage B of the Stable Cascade pipeline. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be processed for super-resolution | -| `vae` | VAE | Yes | - | The VAE model used to encode the input image | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to be processed for super-resolution | IMAGE | Yes | - | +| `vae` | The VAE model used to encode the input image | VAE | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `controlnet_input` | IMAGE | The encoded image representation suitable for controlnet input | -| `stage_c` | LATENT | Placeholder latent representation for stage C of Stable Cascade processing, with dimensions based on the input image size divided by 16 | -| `stage_b` | LATENT | Placeholder latent representation for stage B of Stable Cascade processing, with dimensions based on the input image size divided by 2 | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `controlnet_input` | The encoded image representation suitable for controlnet input | IMAGE | +| `stage_c` | Placeholder latent representation for stage C of Stable Cascade processing, with dimensions based on the input image size divided by 16 | LATENT | +| `stage_b` | Placeholder latent representation for stage B of Stable Cascade processing, with dimensions based on the input image size divided by 2 | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/en.md) --- **Source fingerprint (SHA-256):** `6872eb8610355871ec05c3dacc63ac86d2dc393819f283d256650878a54b7522` diff --git a/built-in-nodes/StableZero123_Conditioning.mdx b/built-in-nodes/StableZero123_Conditioning.mdx index 7103d69ce..90e009398 100644 --- a/built-in-nodes/StableZero123_Conditioning.mdx +++ b/built-in-nodes/StableZero123_Conditioning.mdx @@ -5,32 +5,32 @@ sidebarTitle: "StableZero123_Conditioning" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning/en.md) - The StableZero123_Conditioning node processes an input image and camera angles to generate conditioning data and latent representations for 3D model generation. It uses a CLIP vision model to encode the image features, combines them with camera embedding information based on elevation and azimuth angles, and produces positive and negative conditioning along with a latent representation for downstream 3D generation tasks. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip_vision` | CLIP_VISION | Yes | - | The CLIP vision model used to encode image features | -| `init_image` | IMAGE | Yes | - | The input image to be processed and encoded | -| `vae` | VAE | Yes | - | The VAE model used for encoding pixels to latent space | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output width for the latent representation (default: 256, must be divisible by 8) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output height for the latent representation (default: 256, must be divisible by 8) | -| `batch_size` | INT | Yes | 1 to 4096 | Number of samples to generate in the batch (default: 1) | -| `elevation` | FLOAT | Yes | -180.0 to 180.0 | Camera elevation angle in degrees (default: 0.0) | -| `azimuth` | FLOAT | Yes | -180.0 to 180.0 | Camera azimuth angle in degrees (default: 0.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip_vision` | The CLIP vision model used to encode image features | CLIP_VISION | Yes | - | +| `init_image` | The input image to be processed and encoded | IMAGE | Yes | - | +| `vae` | The VAE model used for encoding pixels to latent space | VAE | Yes | - | +| `width` | Output width for the latent representation (default: 256, must be divisible by 8) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Output height for the latent representation (default: 256, must be divisible by 8) | INT | Yes | 16 to MAX_RESOLUTION | +| `batch_size` | Number of samples to generate in the batch (default: 1) | INT | Yes | 1 to 4096 | +| `elevation` | Camera elevation angle in degrees (default: 0.0) | FLOAT | Yes | -180.0 to 180.0 | +| `azimuth` | Camera azimuth angle in degrees (default: 0.0) | FLOAT | Yes | -180.0 to 180.0 | **Note:** The `width` and `height` parameters must be divisible by 8 as the node automatically divides them by 8 to create the latent representation dimensions. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Positive conditioning data combining image features and camera embeddings | -| `negative` | CONDITIONING | Negative conditioning data with zero-initialized features | -| `latent` | LATENT | Latent representation with dimensions [batch_size, 4, height//8, width//8] | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Positive conditioning data combining image features and camera embeddings | CONDITIONING | +| `negative` | Negative conditioning data with zero-initialized features | CONDITIONING | +| `latent` | Latent representation with dimensions [batch_size, 4, height//8, width//8] | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning/en.md) --- **Source fingerprint (SHA-256):** `197b4efaf13837500f2c3aaf589facc384b3f0bbd026aaa75a7fee509bd0bc51` diff --git a/built-in-nodes/StableZero123_Conditioning_Batched.mdx b/built-in-nodes/StableZero123_Conditioning_Batched.mdx index 2d49ada0a..c3759c509 100644 --- a/built-in-nodes/StableZero123_Conditioning_Batched.mdx +++ b/built-in-nodes/StableZero123_Conditioning_Batched.mdx @@ -5,34 +5,34 @@ sidebarTitle: "StableZero123_Conditioning_Batched" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning_Batched/en.md) - The StableZero123_Conditioning_Batched node processes an input image and generates conditioning data for 3D model generation. It encodes the image using CLIP vision and VAE models, then creates camera embeddings based on elevation and azimuth angles to produce positive and negative conditioning along with latent representations for batch processing. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip_vision` | CLIP_VISION | Yes | - | The CLIP vision model used for encoding the input image | -| `init_image` | IMAGE | Yes | - | The initial input image to be processed and encoded | -| `vae` | VAE | Yes | - | The VAE model used for encoding image pixels into latent space | -| `width` | INT | No | 16 to MAX_RESOLUTION | The output width for the processed image (default: 256, must be divisible by 8) | -| `height` | INT | No | 16 to MAX_RESOLUTION | The output height for the processed image (default: 256, must be divisible by 8) | -| `batch_size` | INT | No | 1 to 4096 | The number of conditioning samples to generate in the batch (default: 1) | -| `elevation` | FLOAT | No | -180.0 to 180.0 | The initial camera elevation angle in degrees (default: 0.0) | -| `azimuth` | FLOAT | No | -180.0 to 180.0 | The initial camera azimuth angle in degrees (default: 0.0) | -| `elevation_batch_increment` | FLOAT | No | -180.0 to 180.0 | The amount to increment elevation for each batch item (default: 0.0) | -| `azimuth_batch_increment` | FLOAT | No | -180.0 to 180.0 | The amount to increment azimuth for each batch item (default: 0.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip_vision` | The CLIP vision model used for encoding the input image | CLIP_VISION | Yes | - | +| `init_image` | The initial input image to be processed and encoded | IMAGE | Yes | - | +| `vae` | The VAE model used for encoding image pixels into latent space | VAE | Yes | - | +| `width` | The output width for the processed image (default: 256, must be divisible by 8) | INT | No | 16 to MAX_RESOLUTION | +| `height` | The output height for the processed image (default: 256, must be divisible by 8) | INT | No | 16 to MAX_RESOLUTION | +| `batch_size` | The number of conditioning samples to generate in the batch (default: 1) | INT | No | 1 to 4096 | +| `elevation` | The initial camera elevation angle in degrees (default: 0.0) | FLOAT | No | -180.0 to 180.0 | +| `azimuth` | The initial camera azimuth angle in degrees (default: 0.0) | FLOAT | No | -180.0 to 180.0 | +| `elevation_batch_increment` | The amount to increment elevation for each batch item (default: 0.0) | FLOAT | No | -180.0 to 180.0 | +| `azimuth_batch_increment` | The amount to increment azimuth for each batch item (default: 0.0) | FLOAT | No | -180.0 to 180.0 | **Note:** The `width` and `height` parameters must be divisible by 8 as the node internally divides these dimensions by 8 for latent space generation. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The positive conditioning data containing image embeddings and camera parameters | -| `negative` | CONDITIONING | The negative conditioning data with zero-initialized embeddings | -| `latent` | LATENT | The latent representation of the processed image with batch indexing information | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The positive conditioning data containing image embeddings and camera parameters | CONDITIONING | +| `negative` | The negative conditioning data with zero-initialized embeddings | CONDITIONING | +| `latent` | The latent representation of the processed image with batch indexing information | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning_Batched/en.md) --- **Source fingerprint (SHA-256):** `fb181f43076087cb040db9404a42e27a39ac7eac7af3da283b3e040342374c74` diff --git a/built-in-nodes/Stablezero123Conditioning.mdx b/built-in-nodes/Stablezero123Conditioning.mdx index 6d06ab1c9..0b559d17d 100644 --- a/built-in-nodes/Stablezero123Conditioning.mdx +++ b/built-in-nodes/Stablezero123Conditioning.mdx @@ -5,26 +5,27 @@ sidebarTitle: "Stablezero123Conditioning" icon: "circle" mode: wide --- - This node is designed to process and condition data for use in StableZero123 models, focusing on preparing the input in a specific format that is compatible and optimized for these models. ## Inputs -| Parameter | Comfy dtype | Description | -|-----------------------|--------------------|-------------| -| `clip_vision` | `CLIP_VISION` | Processes visual data to align with the model's requirements, enhancing the model's understanding of visual context. | -| `init_image` | `IMAGE` | Serves as the initial image input for the model, setting the baseline for further image-based operations. | -| `vae` | `VAE` | Integrates variational autoencoder outputs, facilitating the model's ability to generate or modify images. | -| `width` | `INT` | Specifies the width of the output image, allowing for dynamic resizing according to model needs. | -| `height` | `INT` | Determines the height of the output image, enabling customization of the output dimensions. | -| `batch_size` | `INT` | Controls the number of images processed in a single batch, optimizing computational efficiency. | -| `elevation` | `FLOAT` | Adjusts the elevation angle for 3D model rendering, enhancing the model's spatial understanding. | -| `azimuth` | `FLOAT` | Modifies the azimuth angle for 3D model visualization, improving the model's perception of orientation. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `clip_vision` | Processes visual data to align with the model's requirements, enhancing the model's understanding of visual context. | `CLIP_VISION` | +| `init_image` | Serves as the initial image input for the model, setting the baseline for further image-based operations. | `IMAGE` | +| `vae` | Integrates variational autoencoder outputs, facilitating the model's ability to generate or modify images. | `VAE` | +| `width` | Specifies the width of the output image, allowing for dynamic resizing according to model needs. | `INT` | +| `height` | Determines the height of the output image, enabling customization of the output dimensions. | `INT` | +| `batch_size` | Controls the number of images processed in a single batch, optimizing computational efficiency. | `INT` | +| `elevation` | Adjusts the elevation angle for 3D model rendering, enhancing the model's spatial understanding. | `FLOAT` | +| `azimuth` | Modifies the azimuth angle for 3D model visualization, improving the model's perception of orientation. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|---------------|--------------|-------------| -| `positive` | `CONDITIONING` | Generates positive conditioning vectors, aiding in the model's positive feature reinforcement. | -| `negative` | `CONDITIONING` | Produces negative conditioning vectors, assisting in the model's avoidance of certain features. | -| `latent` | `LATENT` | Creates latent representations, facilitating deeper model insights into the data. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `positive` | Generates positive conditioning vectors, aiding in the model's positive feature reinforcement. | `CONDITIONING` | +| `negative` | Produces negative conditioning vectors, assisting in the model's avoidance of certain features. | `CONDITIONING` | +| `latent` | Creates latent representations, facilitating deeper model insights into the data. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Stablezero123Conditioning/en.md) diff --git a/built-in-nodes/Stablezero123ConditioningBatched.mdx b/built-in-nodes/Stablezero123ConditioningBatched.mdx index 91de7ead5..b97fad24b 100644 --- a/built-in-nodes/Stablezero123ConditioningBatched.mdx +++ b/built-in-nodes/Stablezero123ConditioningBatched.mdx @@ -5,28 +5,29 @@ sidebarTitle: "Stablezero123ConditioningBatched" icon: "circle" mode: wide --- - This node is designed to process conditioning information in a batched manner specifically tailored for the StableZero123 model. It focuses on efficiently handling multiple sets of conditioning data simultaneously, optimizing the workflow for scenarios where batch processing is crucial. ## Inputs -| Parameter | Data Type | Description | -|----------------------|--------------|-------------| -| `clip_vision` | `CLIP_VISION` | The CLIP vision embeddings that provide visual context for the conditioning process. | -| `init_image` | `IMAGE` | The initial image to be conditioned upon, serving as a starting point for the generation process. | -| `vae` | `VAE` | The variational autoencoder used for encoding and decoding images in the conditioning process. | -| `width` | `INT` | The width of the output image. | -| `height` | `INT` | The height of the output image. | -| `batch_size` | `INT` | The number of conditioning sets to be processed in a single batch. | -| `elevation` | `FLOAT` | The elevation angle for 3D model conditioning, affecting the perspective of the generated image. | -| `azimuth` | `FLOAT` | The azimuth angle for 3D model conditioning, affecting the orientation of the generated image. | -| `elevation_batch_increment` | `FLOAT` | The incremental change in elevation angle across the batch, allowing for varied perspectives. | -| `azimuth_batch_increment` | `FLOAT` | The incremental change in azimuth angle across the batch, allowing for varied orientations. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `clip_vision` | The CLIP vision embeddings that provide visual context for the conditioning process. | `CLIP_VISION` | +| `init_image` | The initial image to be conditioned upon, serving as a starting point for the generation process. | `IMAGE` | +| `vae` | The variational autoencoder used for encoding and decoding images in the conditioning process. | `VAE` | +| `width` | The width of the output image. | `INT` | +| `height` | The height of the output image. | `INT` | +| `batch_size` | The number of conditioning sets to be processed in a single batch. | `INT` | +| `elevation` | The elevation angle for 3D model conditioning, affecting the perspective of the generated image. | `FLOAT` | +| `azimuth` | The azimuth angle for 3D model conditioning, affecting the orientation of the generated image. | `FLOAT` | +| `elevation_batch_increment` | The incremental change in elevation angle across the batch, allowing for varied perspectives. | `FLOAT` | +| `azimuth_batch_increment` | The incremental change in azimuth angle across the batch, allowing for varied orientations. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|---------------|--------------|-------------| -| `positive` | `CONDITIONING` | The positive conditioning output, tailored for promoting certain features or aspects in the generated content. | -| `negative` | `CONDITIONING` | The negative conditioning output, tailored for demoting certain features or aspects in the generated content. | -| `latent` | `LATENT` | The latent representation derived from the conditioning process, ready for further processing or generation steps. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `positive` | The positive conditioning output, tailored for promoting certain features or aspects in the generated content. | `CONDITIONING` | +| `negative` | The negative conditioning output, tailored for demoting certain features or aspects in the generated content. | `CONDITIONING` | +| `latent` | The latent representation derived from the conditioning process, ready for further processing or generation steps. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Stablezero123ConditioningBatched/en.md) diff --git a/built-in-nodes/StringCompare.mdx b/built-in-nodes/StringCompare.mdx index f74c41a67..7e31a788c 100644 --- a/built-in-nodes/StringCompare.mdx +++ b/built-in-nodes/StringCompare.mdx @@ -5,24 +5,24 @@ sidebarTitle: "StringCompare" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringCompare/en.md) - The StringCompare node compares two text strings using different comparison methods. It can check if one string starts with another, ends with another, or if both strings are exactly equal. The comparison can be performed with or without considering letter case differences. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `string_a` | STRING | Yes | - | The first string to compare | -| `string_b` | STRING | Yes | - | The second string to compare against | -| `mode` | COMBO | Yes | "Starts With"
"Ends With"
"Equal" | The comparison method to use (default: "Starts With") | -| `case_sensitive` | BOOLEAN | No | - | Whether to consider letter case during comparison (default: true) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `string_a` | The first string to compare | STRING | Yes | - | +| `string_b` | The second string to compare against | STRING | Yes | - | +| `mode` | The comparison method to use (default: "Starts With") | COMBO | Yes | "Starts With"
"Ends With"
"Equal" | +| `case_sensitive` | Whether to consider letter case during comparison (default: true) | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | BOOLEAN | Returns true if the comparison condition is met, false otherwise | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | Returns true if the comparison condition is met, false otherwise | BOOLEAN | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringCompare/en.md) --- **Source fingerprint (SHA-256):** `18599228c31543f270afde0f3b838512ee12d1998b8de42c4d3e7852b1a5d8b2` diff --git a/built-in-nodes/StringConcatenate.mdx b/built-in-nodes/StringConcatenate.mdx index 5bacfc4d7..b8afd11a8 100644 --- a/built-in-nodes/StringConcatenate.mdx +++ b/built-in-nodes/StringConcatenate.mdx @@ -5,23 +5,23 @@ sidebarTitle: "StringConcatenate" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringConcatenate/en.md) - The StringConcatenate node combines two text strings into one by joining them with a specified delimiter. It takes two input strings and a delimiter character or string, then outputs a single string where the two inputs are connected with the delimiter placed between them. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `string_a` | STRING | Yes | - | The first text string to concatenate | -| `string_b` | STRING | Yes | - | The second text string to concatenate | -| `delimiter` | STRING | No | - | The character or string to insert between the two input strings (default: empty string) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `string_a` | The first text string to concatenate | STRING | Yes | - | +| `string_b` | The second text string to concatenate | STRING | Yes | - | +| `delimiter` | The character or string to insert between the two input strings (default: empty string) | STRING | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The combined string with the delimiter inserted between string_a and string_b | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The combined string with the delimiter inserted between string_a and string_b | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringConcatenate/en.md) --- **Source fingerprint (SHA-256):** `ea6fa7948d07e87b7ea3aeaf4f38c4cfdbfa5c5bd56d9f2935f94f1775686d08` diff --git a/built-in-nodes/StringContains.mdx b/built-in-nodes/StringContains.mdx index a5316ed24..6000aa9a6 100644 --- a/built-in-nodes/StringContains.mdx +++ b/built-in-nodes/StringContains.mdx @@ -5,23 +5,23 @@ sidebarTitle: "StringContains" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringContains/en.md) - The StringContains node checks if a given string contains a specified substring. It can perform this check with either case-sensitive or case-insensitive matching, returning a boolean result indicating whether the substring was found within the main string. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | Yes | - | The main text string to search within | -| `substring` | STRING | Yes | - | The text to search for within the main string | -| `case_sensitive` | BOOLEAN | No | - | Determines whether the search should be case-sensitive (default: true) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `string` | The main text string to search within | STRING | Yes | - | +| `substring` | The text to search for within the main string | STRING | Yes | - | +| `case_sensitive` | Determines whether the search should be case-sensitive (default: true) | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `contains` | BOOLEAN | Returns true if the substring is found in the string, false otherwise | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `contains` | Returns true if the substring is found in the string, false otherwise | BOOLEAN | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringContains/en.md) --- **Source fingerprint (SHA-256):** `9e85e51bc32c4041a66de8d5b11475aba3120eee1e8c5a37fedfaa470746888c` diff --git a/built-in-nodes/StringFormat.mdx b/built-in-nodes/StringFormat.mdx index 98fed76ef..1207dd508 100644 --- a/built-in-nodes/StringFormat.mdx +++ b/built-in-nodes/StringFormat.mdx @@ -5,26 +5,26 @@ sidebarTitle: "StringFormat" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/en.md) - ## Overview This node formats text using Python's string format method. It works like a template where you define a text pattern with placeholders, and then provide values to fill those placeholders. It supports all of Python's format options and features. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `f_string` | STRING | Yes | N/A | The format string template with placeholders (default: `{a}`). Supports multiline input. | -| `values` | STRING | Yes | N/A | Dynamic input for providing values to fill placeholders in the format string. Multiple value inputs can be added as needed. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `f_string` | The format string template with placeholders (default: `{a}`). Supports multiline input. | STRING | Yes | N/A | +| `values` | Dynamic input for providing values to fill placeholders in the format string. Multiple value inputs can be added as needed. | STRING | Yes | N/A | **Note on `values` input:** This input is dynamic and can be expanded to include multiple named values. Each value input is labeled with a letter (a, b, c, etc.) and corresponds to a placeholder in the format string (e.g., `{a}`, `{b}`, `{c}`). You can add or remove value inputs as needed. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `STRING` | STRING | The formatted text string with all placeholders replaced by their corresponding values. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `STRING` | The formatted text string with all placeholders replaced by their corresponding values. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/en.md) --- **Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122` diff --git a/built-in-nodes/StringLength.mdx b/built-in-nodes/StringLength.mdx index dacbcd8d7..189c4ad88 100644 --- a/built-in-nodes/StringLength.mdx +++ b/built-in-nodes/StringLength.mdx @@ -5,21 +5,21 @@ sidebarTitle: "StringLength" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringLength/en.md) - The StringLength node calculates the number of characters in a text string. It takes any text input and returns the total count of characters, including spaces and punctuation. This is useful for measuring text length or validating string size requirements. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | Yes | N/A | The text string to measure the length of. Supports multiline input. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `string` | The text string to measure the length of. Supports multiline input. | STRING | Yes | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `length` | INT | The total number of characters in the input string, including spaces and special characters. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `length` | The total number of characters in the input string, including spaces and special characters. | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringLength/en.md) --- **Source fingerprint (SHA-256):** `bfb0cae513e4bd5c179b3cd0071a71a6ad7d67e71891cf1152f8ff9632e6d217` diff --git a/built-in-nodes/StringReplace.mdx b/built-in-nodes/StringReplace.mdx index e20c4bd49..4c5fd440f 100644 --- a/built-in-nodes/StringReplace.mdx +++ b/built-in-nodes/StringReplace.mdx @@ -5,23 +5,23 @@ sidebarTitle: "StringReplace" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringReplace/en.md) - The StringReplace node performs text replacement operations on input strings. It searches for a specified substring within the input text and replaces all occurrences with a different substring. This node returns the modified string with all replacements applied. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | Yes | - | The input text string where replacements will be performed | -| `find` | STRING | Yes | - | The substring to search for within the input text | -| `replace` | STRING | Yes | - | The replacement text that will substitute all found occurrences | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `string` | The input text string where replacements will be performed | STRING | Yes | - | +| `find` | The substring to search for within the input text | STRING | Yes | - | +| `replace` | The replacement text that will substitute all found occurrences | STRING | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The modified string with all occurrences of the find text replaced by the replace text | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The modified string with all occurrences of the find text replaced by the replace text | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringReplace/en.md) --- **Source fingerprint (SHA-256):** `7f384aff132eb6919b58f04163c4611a7b5545e1af9217f9aca60dc416c06d60` diff --git a/built-in-nodes/StringSubstring.mdx b/built-in-nodes/StringSubstring.mdx index e11c6f25c..547480f1f 100644 --- a/built-in-nodes/StringSubstring.mdx +++ b/built-in-nodes/StringSubstring.mdx @@ -5,23 +5,23 @@ sidebarTitle: "StringSubstring" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringSubstring/en.md) - The StringSubstring node extracts a portion of text from a larger string. It takes a starting position and ending position to define the section you want to extract, then returns the text between those two positions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | Yes | - | The input text string to extract from. Supports multi-line text. | -| `start` | INT | Yes | - | The starting position index for the substring. The first character is at index 0. | -| `end` | INT | Yes | - | The ending position index for the substring. The character at this index is not included in the result. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `string` | The input text string to extract from. Supports multi-line text. | STRING | Yes | - | +| `start` | The starting position index for the substring. The first character is at index 0. | INT | Yes | - | +| `end` | The ending position index for the substring. The character at this index is not included in the result. | INT | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The extracted substring from the input text, containing all characters from the `start` position up to (but not including) the `end` position. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The extracted substring from the input text, containing all characters from the `start` position up to (but not including) the `end` position. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringSubstring/en.md) --- **Source fingerprint (SHA-256):** `fd3ec23bbfe3a51f5481f1b0fe8b77f66e08469bb2a4bd3e266a7607f014e544` diff --git a/built-in-nodes/StringTrim.mdx b/built-in-nodes/StringTrim.mdx index 2fccd0759..0d8f86daa 100644 --- a/built-in-nodes/StringTrim.mdx +++ b/built-in-nodes/StringTrim.mdx @@ -5,22 +5,22 @@ sidebarTitle: "StringTrim" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringTrim/en.md) - The StringTrim node removes whitespace characters (such as spaces, tabs, and newlines) from the beginning, end, or both sides of a text string. You can choose to trim from the left side, right side, or both sides of the string. This is useful for cleaning up text inputs by removing unwanted whitespace. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | Yes | - | The text string to process. Supports multiline input. | -| `mode` | COMBO | Yes | "Both"
"Left"
"Right" | Specifies which side(s) of the string to trim. "Both" removes whitespace from both ends, "Left" removes from the beginning only, "Right" removes from the end only. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `string` | The text string to process. Supports multiline input. | STRING | Yes | - | +| `mode` | Specifies which side(s) of the string to trim. "Both" removes whitespace from both ends, "Left" removes from the beginning only, "Right" removes from the end only. | COMBO | Yes | "Both"
"Left"
"Right" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The trimmed text string with whitespace removed according to the selected mode. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The trimmed text string with whitespace removed according to the selected mode. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringTrim/en.md) --- **Source fingerprint (SHA-256):** `b7d0694b752f3017a5f8ee9a6ca1d88260f761576b5960f2cb210e34efb09d18` diff --git a/built-in-nodes/StripWhitespace.mdx b/built-in-nodes/StripWhitespace.mdx index 7ad7a6dac..1268eef4a 100644 --- a/built-in-nodes/StripWhitespace.mdx +++ b/built-in-nodes/StripWhitespace.mdx @@ -5,23 +5,23 @@ sidebarTitle: "StripWhitespace" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StripWhitespace/en.md) - This node removes any extra spaces, tabs, or newlines from the beginning and end of a text string. It takes a text input and returns a cleaned version with the leading and trailing whitespace trimmed off. **Note: This node is deprecated and superseded by the Trim Text node.** ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | Yes | N/A | The text string from which to remove leading and trailing whitespace. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `text` | The text string from which to remove leading and trailing whitespace. | STRING | Yes | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `text` | STRING | The processed text with all leading and trailing whitespace characters removed. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `text` | The processed text with all leading and trailing whitespace characters removed. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StripWhitespace/en.md) --- **Source fingerprint (SHA-256):** `182f01e15050b35cc33de7792886721873daf387a934befbe1ff37cbcd766143` diff --git a/built-in-nodes/StyleModelApply.mdx b/built-in-nodes/StyleModelApply.mdx index 27592553a..0bbc8d8b1 100644 --- a/built-in-nodes/StyleModelApply.mdx +++ b/built-in-nodes/StyleModelApply.mdx @@ -5,21 +5,22 @@ sidebarTitle: "StyleModelApply" icon: "circle" mode: wide --- - This node applies a style model to a given conditioning, enhancing or altering its style based on the output of a CLIP vision model. It integrates the style model's conditioning into the existing conditioning, allowing for a seamless blend of styles in the generation process. ## Inputs ### Required -| Parameter | Comfy dtype | Description | -|-----------------------|-----------------------|-------------| -| `conditioning` | `CONDITIONING` | The original conditioning data to which the style model's conditioning will be applied. It's crucial for defining the base context or style that will be enhanced or altered. | -| `style_model` | `STYLE_MODEL` | The style model used to generate new conditioning based on the CLIP vision model's output. It plays a key role in defining the new style to be applied. | -| `clip_vision_output` | `CLIP_VISION_OUTPUT` | The output from a CLIP vision model, which is used by the style model to generate new conditioning. It provides the visual context necessary for style application. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `conditioning` | The original conditioning data to which the style model's conditioning will be applied. It's crucial for defining the base context or style that will be enhanced or altered. | `CONDITIONING` | +| `style_model` | The style model used to generate new conditioning based on the CLIP vision model's output. It plays a key role in defining the new style to be applied. | `STYLE_MODEL` | +| `clip_vision_output` | The output from a CLIP vision model, which is used by the style model to generate new conditioning. It provides the visual context necessary for style application. | `CLIP_VISION_OUTPUT` | ## Outputs -| Parameter | Comfy dtype | Description | -|----------------------|-----------------------|-------------| -| `conditioning` | `CONDITIONING` | The enhanced or altered conditioning, incorporating the style model's output. It represents the final, styled conditioning ready for further processing or generation. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `conditioning` | The enhanced or altered conditioning, incorporating the style model's output. It represents the final, styled conditioning ready for further processing or generation. | `CONDITIONING` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StyleModelApply/en.md) diff --git a/built-in-nodes/StyleModelLoader.mdx b/built-in-nodes/StyleModelLoader.mdx index 5a3cf47a9..eff898bfb 100644 --- a/built-in-nodes/StyleModelLoader.mdx +++ b/built-in-nodes/StyleModelLoader.mdx @@ -11,12 +11,14 @@ The StyleModelLoader node is designed to load a style model from a specified pat ## Inputs -| Parameter Name | Comfy dtype | Python dtype | Description | -|---------------------|-----------------|--------------|---------------------------------------------------------------------------------------------------| -| `style_model_name` | COMBO[STRING] | `str` | Specifies the name of the style model to be loaded. This name is used to locate the model file within a predefined directory structure, allowing for the dynamic loading of different style models based on user input or application needs. | +| Parameter Name | Description | Comfy dtype | Python dtype | +| --- | --- | --- | --- | +| `style_model_name` | Specifies the name of the style model to be loaded. This name is used to locate the model file within a predefined directory structure, allowing for the dynamic loading of different style models based on user input or application needs. | COMBO[STRING] | `str` | ## Outputs -| Parameter Name | Comfy dtype | Python dtype | Description | -|-----------------|---------------|--------------|---------------------------------------------------------------------------------------------------| -| `style_model` | `STYLE_MODEL` | `StyleModel` | Returns the loaded style model, ready for use in applying styles to images. This enables the dynamic customization of visual outputs by applying different artistic styles. | +| Parameter Name | Description | Comfy dtype | Python dtype | +| --- | --- | --- | --- | +| `style_model` | Returns the loaded style model, ready for use in applying styles to images. This enables the dynamic customization of visual outputs by applying different artistic styles. | `STYLE_MODEL` | `StyleModel` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StyleModelLoader/en.md) diff --git a/built-in-nodes/SvdImg2vidConditioning.mdx b/built-in-nodes/SvdImg2vidConditioning.mdx index aafc2961f..cd48e2e31 100644 --- a/built-in-nodes/SvdImg2vidConditioning.mdx +++ b/built-in-nodes/SvdImg2vidConditioning.mdx @@ -5,27 +5,28 @@ sidebarTitle: "SvdImg2vidConditioning" icon: "circle" mode: wide --- - This node is designed for generating conditioning data for video generation tasks, specifically tailored for use with SVD_img2vid models. It takes various inputs including initial images, video parameters, and a VAE model to produce conditioning data that can be used to guide the generation of video frames. ## Inputs -| Parameter | Comfy dtype | Description | -|----------------------|--------------------|-------------| -| `clip_vision` | `CLIP_VISION` | Represents the CLIP vision model used for encoding visual features from the initial image, playing a crucial role in understanding the content and context of the image for video generation. | -| `init_image` | `IMAGE` | The initial image from which the video will be generated, serving as the starting point for the video generation process. | -| `vae` | `VAE` | A Variational Autoencoder (VAE) model used for encoding the initial image into a latent space, facilitating the generation of coherent and continuous video frames. | -| `width` | `INT` | The desired width of the video frames to be generated, allowing for customization of the video's resolution. | -| `height` | `INT` | The desired height of the video frames, enabling control over the video's aspect ratio and resolution. | -| `video_frames` | `INT` | Specifies the number of frames to be generated for the video, determining the video's length. | -| `motion_bucket_id` | `INT` | An identifier for categorizing the type of motion to be applied in the video generation, aiding in the creation of dynamic and engaging videos. | -| `fps` | `INT` | The frames per second (fps) rate for the video, influencing the smoothness and realism of the generated video. | -| `augmentation_level` | `FLOAT` | A parameter controlling the level of augmentation applied to the initial image, affecting the diversity and variability of the generated video frames. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `clip_vision` | Represents the CLIP vision model used for encoding visual features from the initial image, playing a crucial role in understanding the content and context of the image for video generation. | `CLIP_VISION` | +| `init_image` | The initial image from which the video will be generated, serving as the starting point for the video generation process. | `IMAGE` | +| `vae` | A Variational Autoencoder (VAE) model used for encoding the initial image into a latent space, facilitating the generation of coherent and continuous video frames. | `VAE` | +| `width` | The desired width of the video frames to be generated, allowing for customization of the video's resolution. | `INT` | +| `height` | The desired height of the video frames, enabling control over the video's aspect ratio and resolution. | `INT` | +| `video_frames` | Specifies the number of frames to be generated for the video, determining the video's length. | `INT` | +| `motion_bucket_id` | An identifier for categorizing the type of motion to be applied in the video generation, aiding in the creation of dynamic and engaging videos. | `INT` | +| `fps` | The frames per second (fps) rate for the video, influencing the smoothness and realism of the generated video. | `INT` | +| `augmentation_level` | A parameter controlling the level of augmentation applied to the initial image, affecting the diversity and variability of the generated video frames. | `FLOAT` | ## Outputs -| Parameter | Comfy dtype | Description | -|---------------|--------------------|-------------| -| `positive` | `CONDITIONING` | The positive conditioning data, consisting of encoded features and parameters for guiding the video generation process in a desired direction. | -| `negative` | `CONDITIONING` | The negative conditioning data, providing a contrast to the positive conditioning, which can be used to avoid certain patterns or features in the generated video. | -| `latent` | `LATENT` | Latent representations generated for each frame of the video, serving as a foundational component for the video generation process. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `positive` | The positive conditioning data, consisting of encoded features and parameters for guiding the video generation process in a desired direction. | `CONDITIONING` | +| `negative` | The negative conditioning data, providing a contrast to the positive conditioning, which can be used to avoid certain patterns or features in the generated video. | `CONDITIONING` | +| `latent` | Latent representations generated for each frame of the video, serving as a foundational component for the video generation process. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SvdImg2vidConditioning/en.md) diff --git a/built-in-nodes/T5TokenizerOptions.mdx b/built-in-nodes/T5TokenizerOptions.mdx index d2b3a561b..9b83e2e72 100644 --- a/built-in-nodes/T5TokenizerOptions.mdx +++ b/built-in-nodes/T5TokenizerOptions.mdx @@ -5,23 +5,23 @@ sidebarTitle: "T5TokenizerOptions" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/T5TokenizerOptions/en.md) - The T5TokenizerOptions node allows you to configure tokenizer settings for various T5 model types. It sets minimum padding and minimum length parameters for multiple T5 model variants including t5xxl, pile_t5xl, t5base, mt5xl, and umt5xxl. The node takes a CLIP input and returns a modified CLIP with the specified tokenizer options applied. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | The CLIP model to configure tokenizer options for | -| `min_padding` | INT | No | 0 to 10000 | Minimum padding value to set for all T5 model types (default: 0) | -| `min_length` | INT | No | 0 to 10000 | Minimum length value to set for all T5 model types (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model to configure tokenizer options for | CLIP | Yes | - | +| `min_padding` | Minimum padding value to set for all T5 model types (default: 0) | INT | No | 0 to 10000 | +| `min_length` | Minimum length value to set for all T5 model types (default: 0) | INT | No | 0 to 10000 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | CLIP | The modified CLIP model with updated tokenizer options applied to all T5 variants | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The modified CLIP model with updated tokenizer options applied to all T5 variants | CLIP | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/T5TokenizerOptions/en.md) --- **Source fingerprint (SHA-256):** `8fbc016680d83d0b10b07362656296f10ce0c43b20c1d93ab0cfd44dcae284fe` diff --git a/built-in-nodes/TCFG.mdx b/built-in-nodes/TCFG.mdx index 621e67d74..cc0390b15 100644 --- a/built-in-nodes/TCFG.mdx +++ b/built-in-nodes/TCFG.mdx @@ -5,21 +5,21 @@ sidebarTitle: "TCFG" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TCFG/en.md) - TCFG (Tangential Damping CFG) refines the unconditional (negative) predictions to better align with the conditional (positive) predictions during the sampling process. This technique improves output quality by applying tangential damping to the unconditional guidance, based on the research paper 2503.18137. The node modifies the model's sampling behavior by adjusting how unconditional predictions are processed during classifier-free guidance. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply tangential damping CFG to | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply tangential damping CFG to | MODEL | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `patched_model` | MODEL | The modified model with tangential damping CFG applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `patched_model` | The modified model with tangential damping CFG applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TCFG/en.md) --- **Source fingerprint (SHA-256):** `6e0e1df09bdc29f14a4828ec54fd29f89926b9d8121bc8ba9f95ce066b899e95` diff --git a/built-in-nodes/TemporalScoreRescaling.mdx b/built-in-nodes/TemporalScoreRescaling.mdx index 1b4baebec..cdb6f8506 100644 --- a/built-in-nodes/TemporalScoreRescaling.mdx +++ b/built-in-nodes/TemporalScoreRescaling.mdx @@ -5,23 +5,23 @@ sidebarTitle: "TemporalScoreRescaling" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TemporalScoreRescaling/en.md) - This node applies Temporal Score Rescaling (TSR) to a diffusion model. It modifies the model's sampling behavior by rescaling the predicted noise or score during the denoising process, which can steer the diversity of the generated output. This is implemented as a post-CFG (Classifier-Free Guidance) function. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model to be patched with the TSR function. | -| `tsr_k` | FLOAT | No | 0.01 - 100.0 | Controls the rescaling strength. Lower k produces more detailed results; higher k produces smoother results in image generation. Setting k = 1 disables rescaling. (default: 0.95) | -| `tsr_sigma` | FLOAT | No | 0.01 - 100.0 | Controls how early rescaling takes effect. Larger values take effect earlier. (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to be patched with the TSR function. | MODEL | Yes | - | +| `tsr_k` | Controls the rescaling strength. Lower k produces more detailed results; higher k produces smoother results in image generation. Setting k = 1 disables rescaling. (default: 0.95) | FLOAT | No | 0.01 - 100.0 | +| `tsr_sigma` | Controls how early rescaling takes effect. Larger values take effect earlier. (default: 1.0) | FLOAT | No | 0.01 - 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `patched_model` | MODEL | The input model, now patched with the Temporal Score Rescaling function applied to its sampling process. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `patched_model` | The input model, now patched with the Temporal Score Rescaling function applied to its sampling process. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TemporalScoreRescaling/en.md) --- **Source fingerprint (SHA-256):** `c558da8dea80131f705f3217740c4f9df3c9a7a6695e2c089f5798a726730bb8` diff --git a/built-in-nodes/Tencent3DPartNode.mdx b/built-in-nodes/Tencent3DPartNode.mdx index 250863ed3..8b709e38f 100644 --- a/built-in-nodes/Tencent3DPartNode.mdx +++ b/built-in-nodes/Tencent3DPartNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "Tencent3DPartNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md) - This node uses the Tencent Hunyuan3D API to automatically analyze a 3D model and generate or identify its components based on its structure. It processes the model and returns a new FBX file. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_3d` | FILE3D | Yes | FBX, Any | The 3D model to process. The model should be in FBX format and have less than 30000 faces. | -| `seed` | INT | No | 0 to 2147483647 | A seed value to control whether the node should re-run. The results are non-deterministic regardless of the seed value. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_3d` | The 3D model to process. The model should be in FBX format and have less than 30000 faces. | FILE3D | Yes | FBX, Any | +| `seed` | A seed value to control whether the node should re-run. The results are non-deterministic regardless of the seed value. (default: 0) | INT | No | 0 to 2147483647 | **Note:** The `model_3d` input only supports files in the FBX format. If a different 3D file format is provided, the node will raise an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `FBX` | FILE3DFBX | The processed 3D model, returned as an FBX file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `FBX` | The processed 3D model, returned as an FBX file. | FILE3DFBX | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md) --- **Source fingerprint (SHA-256):** `094ed587f2989312c0eea86105e8c2bdf48a2c626e424eaa07ba528c2e8b4f89` diff --git a/built-in-nodes/Tencent3DTextureEditNode.mdx b/built-in-nodes/Tencent3DTextureEditNode.mdx index c8ce27666..37c1d0f93 100644 --- a/built-in-nodes/Tencent3DTextureEditNode.mdx +++ b/built-in-nodes/Tencent3DTextureEditNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "Tencent3DTextureEditNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md) - This node uses the Tencent Hunyuan3D API to edit the textures of a 3D model. You provide a 3D model and a text description of the desired changes, and the node returns a new version of the model with its textures redrawn according to your prompt. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_3d` | FILE3D | Yes | FBX, Any | 3D model in FBX format. Model should have less than 100000 faces. | -| `prompt` | STRING | Yes | | Describes texture editing. Supports up to 1024 UTF-8 characters. | -| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_3d` | 3D model in FBX format. Model should have less than 100000 faces. | FILE3D | Yes | FBX, Any | +| `prompt` | Describes texture editing. Supports up to 1024 UTF-8 characters. | STRING | Yes | | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | No | 0 to 2147483647 | **Note:** The `model_3d` input must be a file in the FBX format. Other 3D file formats are not supported by this node. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `GLB` | FILE3D | The processed 3D model in GLB format. | -| `OBJ` | FILE3D | The processed 3D model in OBJ format. | -| `texture_image` | IMAGE | The newly generated texture image for the 3D model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `GLB` | The processed 3D model in GLB format. | FILE3D | +| `OBJ` | The processed 3D model in OBJ format. | FILE3D | +| `texture_image` | The newly generated texture image for the 3D model. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md) --- **Source fingerprint (SHA-256):** `e8d3f9fbd49b0e641ed4bb415d6ee6a34018623eb717ac54c0588383f9caed44` diff --git a/built-in-nodes/TencentImageToModelNode.mdx b/built-in-nodes/TencentImageToModelNode.mdx index 4b4096e86..5778030fd 100644 --- a/built-in-nodes/TencentImageToModelNode.mdx +++ b/built-in-nodes/TencentImageToModelNode.mdx @@ -5,38 +5,38 @@ sidebarTitle: "TencentImageToModelNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md) - This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from one or more input images. It processes the images, sends them to the API, and returns the generated 3D model files in GLB and OBJ formats, along with optional texture maps. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"3.0"`
`"3.1"` | The version of the Hunyuan3D model to use. The LowPoly option is unavailable for the `3.1` model. | -| `image` | IMAGE | Yes | - | The primary input image used to generate the 3D model. Must be at least 128x128 pixels. | -| `image_left` | IMAGE | No | - | An optional image of the object's left side for multi-view generation. Must be at least 128x128 pixels. | -| `image_right` | IMAGE | No | - | An optional image of the object's right side for multi-view generation. Must be at least 128x128 pixels. | -| `image_back` | IMAGE | No | - | An optional image of the object's back side for multi-view generation. Must be at least 128x128 pixels. | -| `face_count` | INT | Yes | 3000 - 1500000 | The target number of faces for the generated 3D model (default: 500000). | -| `generate_type` | DYNAMICCOMBO | Yes | `"Normal"`
`"LowPoly"`
`"Geometry"` | The type of 3D model to generate. Selecting an option reveals additional related parameters. | -| `generate_type.pbr` | BOOLEAN | No | - | Enables Physically Based Rendering (PBR) material generation. This parameter is only visible when `generate_type` is set to "Normal" or "LowPoly" (default: False). | -| `generate_type.polygon_type` | COMBO | No | `"triangle"`
`"quadrilateral"` | The type of polygon to use for the mesh. This parameter is only visible when `generate_type` is set to "LowPoly". | -| `seed` | INT | Yes | 0 - 2147483647 | A seed value for the generation process. Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The version of the Hunyuan3D model to use. The LowPoly option is unavailable for the `3.1` model. | COMBO | Yes | `"3.0"`
`"3.1"` | +| `image` | The primary input image used to generate the 3D model. Must be at least 128x128 pixels. | IMAGE | Yes | - | +| `image_left` | An optional image of the object's left side for multi-view generation. Must be at least 128x128 pixels. | IMAGE | No | - | +| `image_right` | An optional image of the object's right side for multi-view generation. Must be at least 128x128 pixels. | IMAGE | No | - | +| `image_back` | An optional image of the object's back side for multi-view generation. Must be at least 128x128 pixels. | IMAGE | No | - | +| `face_count` | The target number of faces for the generated 3D model (default: 500000). | INT | Yes | 3000 - 1500000 | +| `generate_type` | The type of 3D model to generate. Selecting an option reveals additional related parameters. | DYNAMICCOMBO | Yes | `"Normal"`
`"LowPoly"`
`"Geometry"` | +| `generate_type.pbr` | Enables Physically Based Rendering (PBR) material generation. This parameter is only visible when `generate_type` is set to "Normal" or "LowPoly" (default: False). | BOOLEAN | No | - | +| `generate_type.polygon_type` | The type of polygon to use for the mesh. This parameter is only visible when `generate_type` is set to "LowPoly". | COMBO | No | `"triangle"`
`"quadrilateral"` | +| `seed` | A seed value for the generation process. Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | INT | Yes | 0 - 2147483647 | **Note:** All input images must have a minimum width and height of 128 pixels. Images are automatically downscaled if they exceed 4900 pixels on their longest side. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | A legacy output for backward compatibility. | -| `GLB` | FILE3DGLB | The generated 3D model in the GLB (Binary GL Transmission Format) file format. | -| `OBJ` | FILE3DOBJ | The generated 3D model in the OBJ (Wavefront) file format. | -| `texture_image` | IMAGE | The texture image for the generated 3D model. | -| `optional_metallic` | IMAGE | The metallic map for PBR materials. Returns a black image if not available. | -| `optional_normal` | IMAGE | The normal map for PBR materials. Returns a black image if not available. | -| `optional_roughness` | IMAGE | The roughness map for PBR materials. Returns a black image if not available. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | A legacy output for backward compatibility. | STRING | +| `GLB` | The generated 3D model in the GLB (Binary GL Transmission Format) file format. | FILE3DGLB | +| `OBJ` | The generated 3D model in the OBJ (Wavefront) file format. | FILE3DOBJ | +| `texture_image` | The texture image for the generated 3D model. | IMAGE | +| `optional_metallic` | The metallic map for PBR materials. Returns a black image if not available. | IMAGE | +| `optional_normal` | The normal map for PBR materials. Returns a black image if not available. | IMAGE | +| `optional_roughness` | The roughness map for PBR materials. Returns a black image if not available. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md) --- **Source fingerprint (SHA-256):** `b4cb268fe3b2f5890e5460d5e69897ccc47e205b05546aea18a85ad15717f12a` diff --git a/built-in-nodes/TencentModelTo3DUVNode.mdx b/built-in-nodes/TencentModelTo3DUVNode.mdx index fb5068ac5..7ea530462 100644 --- a/built-in-nodes/TencentModelTo3DUVNode.mdx +++ b/built-in-nodes/TencentModelTo3DUVNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "TencentModelTo3DUVNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md) - This node uses the Tencent Hunyuan3D API to perform UV unfolding on a 3D model. It takes a 3D model file as input, sends it to the API for processing, and returns the processed model in OBJ and FBX formats along with a generated UV texture image. The input model must have fewer than 30,000 faces. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_3d` | FILE3D | Yes | GLB
OBJ
FBX | Input 3D model (GLB, OBJ, or FBX). The model must have less than 30000 faces. | -| `seed` | INT | No | 0 to 2147483647 | A seed value (default: 1). This controls whether the node should re-run, but results are non-deterministic regardless of the seed value. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_3d` | Input 3D model (GLB, OBJ, or FBX). The model must have less than 30000 faces. | FILE3D | Yes | GLB
OBJ
FBX | +| `seed` | A seed value (default: 1). This controls whether the node should re-run, but results are non-deterministic regardless of the seed value. | INT | No | 0 to 2147483647 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `OBJ` | FILE3D | The processed 3D model file in OBJ format. | -| `FBX` | FILE3D | The processed 3D model file in FBX format. | -| `uv_image` | IMAGE | The generated UV texture image. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `OBJ` | The processed 3D model file in OBJ format. | FILE3D | +| `FBX` | The processed 3D model file in FBX format. | FILE3D | +| `uv_image` | The generated UV texture image. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md) --- **Source fingerprint (SHA-256):** `f09167ca1aacf299ff278817a50b6c311b6211fe447cfbe7c3a0ccc481058cf6` diff --git a/built-in-nodes/TencentSmartTopologyNode.mdx b/built-in-nodes/TencentSmartTopologyNode.mdx index d63ac3b20..873450955 100644 --- a/built-in-nodes/TencentSmartTopologyNode.mdx +++ b/built-in-nodes/TencentSmartTopologyNode.mdx @@ -5,26 +5,26 @@ sidebarTitle: "TencentSmartTopologyNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentSmartTopologyNode/en.md) - This node performs smart retopology on a 3D model, automatically creating a new, cleaner mesh with optimized polygon count. It connects to a Tencent Hunyuan 3D API to process the model, supporting GLB and OBJ file formats up to 200MB. The node returns the processed model as an OBJ file. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_3d` | FILE3D | Yes | - | Input 3D model (GLB or OBJ). The file must be in GLB or OBJ format and cannot exceed 200MB. | -| `polygon_type` | STRING | Yes | `"triangle"`
`"quadrilateral"` | Surface composition type. | -| `face_level` | STRING | Yes | `"medium"`
`"high"`
`"low"` | Polygon reduction level. | -| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_3d` | Input 3D model (GLB or OBJ). The file must be in GLB or OBJ format and cannot exceed 200MB. | FILE3D | Yes | - | +| `polygon_type` | Surface composition type. | STRING | Yes | `"triangle"`
`"quadrilateral"` | +| `face_level` | Polygon reduction level. | STRING | Yes | `"medium"`
`"high"`
`"low"` | +| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | No | 0 to 2147483647 | **Note:** The `seed` parameter is used to trigger a re-run of the node, but the final output is not guaranteed to be the same for the same seed value. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `OBJ` | FILE3D | The processed 3D model with optimized topology, returned in OBJ format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `OBJ` | The processed 3D model with optimized topology, returned in OBJ format. | FILE3D | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentSmartTopologyNode/en.md) --- **Source fingerprint (SHA-256):** `41f52d3553c2c0773d539d029f21fe405ffac739a5a43d89da1c55c5a4d75e5b` diff --git a/built-in-nodes/TencentTextToModelNode.mdx b/built-in-nodes/TencentTextToModelNode.mdx index c9dc68c30..75d98a69e 100644 --- a/built-in-nodes/TencentTextToModelNode.mdx +++ b/built-in-nodes/TencentTextToModelNode.mdx @@ -5,19 +5,17 @@ sidebarTitle: "TencentTextToModelNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md) - This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from a text description. It sends a request to create a generation task, polls for the result, and downloads the final model files in GLB and OBJ formats. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"3.0"`
`"3.1"` | The version of the Hunyuan3D model to use. The LowPoly option is unavailable for the `3.1` model. | -| `prompt` | STRING | Yes | - | The text description of the 3D model to generate. Supports up to 1024 characters. | -| `face_count` | INT | Yes | 3000 - 1500000 | The target number of faces for the generated 3D model. Default: 500000. | -| `generate_type` | DYNAMICCOMBO | Yes | `"Normal"`
`"LowPoly"`
`"Geometry"` | The type of 3D model to generate. The available options and their associated parameters are:
- **Normal**: Generates a standard model. Includes a `pbr` parameter (default: `False`).
- **LowPoly**: Generates a low-polygon model. Includes `polygon_type` (`"triangle"` or `"quadrilateral"`) and `pbr` (default: `False`) parameters.
- **Geometry**: Generates a geometry-only model. | -| `seed` | INT | No | 0 - 2147483647 | A seed value for the generation. Results are non-deterministic regardless of seed. Setting a new seed controls whether the node should re-run. Default: 0. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The version of the Hunyuan3D model to use. The LowPoly option is unavailable for the `3.1` model. | COMBO | Yes | `"3.0"`
`"3.1"` | +| `prompt` | The text description of the 3D model to generate. Supports up to 1024 characters. | STRING | Yes | - | +| `face_count` | The target number of faces for the generated 3D model. Default: 500000. | INT | Yes | 3000 - 1500000 | +| `generate_type` | The type of 3D model to generate. The available options and their associated parameters are:
- **Normal**: Generates a standard model. Includes a `pbr` parameter (default: `False`).
- **LowPoly**: Generates a low-polygon model. Includes `polygon_type` (`"triangle"` or `"quadrilateral"`) and `pbr` (default: `False`) parameters.
- **Geometry**: Generates a geometry-only model. | DYNAMICCOMBO | Yes | `"Normal"`
`"LowPoly"`
`"Geometry"` | +| `seed` | A seed value for the generation. Results are non-deterministic regardless of seed. Setting a new seed controls whether the node should re-run. Default: 0. | INT | No | 0 - 2147483647 | **Note:** The `generate_type` parameter is dynamic. Selecting `"LowPoly"` will reveal additional inputs for `polygon_type` and `pbr`. Selecting `"Normal"` will reveal an input for `pbr`. Selecting `"Geometry"` will not reveal any additional inputs. @@ -25,12 +23,14 @@ This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from a text de ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | A legacy output for backward compatibility. | -| `GLB` | FILE3DGLB | The generated 3D model in the GLB file format. | -| `OBJ` | FILE3DOBJ | The generated 3D model in the OBJ file format. | -| `texture_image` | IMAGE | The texture image extracted from the generated OBJ file, if available. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | A legacy output for backward compatibility. | STRING | +| `GLB` | The generated 3D model in the GLB file format. | FILE3DGLB | +| `OBJ` | The generated 3D model in the OBJ file format. | FILE3DOBJ | +| `texture_image` | The texture image extracted from the generated OBJ file, if available. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md) --- **Source fingerprint (SHA-256):** `2e8799d6863a0a7113d22f1637251735a217797679d7a97268910b88d9864e4a` diff --git a/built-in-nodes/TerminalLog.mdx b/built-in-nodes/TerminalLog.mdx index 644be6c2b..5fc54d813 100644 --- a/built-in-nodes/TerminalLog.mdx +++ b/built-in-nodes/TerminalLog.mdx @@ -7,3 +7,5 @@ mode: wide --- Terminal Log (Manager) node is primarily used to display the running information of ComfyUI in the terminal within the ComfyUI interface. To use it, you need to set the `mode` to **logging** mode. This will allow it to record corresponding log information during the image generation task. If the `mode` is set to **stop** mode, it will not record log information. When you access and use ComfyUI via remote connections or local area network connections, Terminal Log (Manager) node becomes particularly useful. It allows you to directly view error messages from the CMD within the ComfyUI interface, making it easier to understand the current status of ComfyUI's operation. + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TerminalLog/en.md) diff --git a/built-in-nodes/TextEncodeAceStepAudio.mdx b/built-in-nodes/TextEncodeAceStepAudio.mdx index 9701f2dae..6a5135f56 100644 --- a/built-in-nodes/TextEncodeAceStepAudio.mdx +++ b/built-in-nodes/TextEncodeAceStepAudio.mdx @@ -5,24 +5,24 @@ sidebarTitle: "TextEncodeAceStepAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/en.md) - The TextEncodeAceStepAudio node processes text inputs for audio conditioning by combining tags and lyrics into tokens, then encoding them with adjustable lyrics strength. It takes a CLIP model along with text descriptions and lyrics, tokenizes them together, and generates conditioning data suitable for audio generation tasks. The node allows fine-tuning the influence of lyrics through a strength parameter that controls their impact on the final output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | The CLIP model used for tokenization and encoding | -| `tags` | STRING | Yes | - | Text tags or descriptions for audio conditioning (supports multiline input and dynamic prompts) | -| `lyrics` | STRING | Yes | - | Lyrics text for audio conditioning (supports multiline input and dynamic prompts) | -| `lyrics_strength` | FLOAT | No | 0.0 - 10.0 | Controls the strength of lyrics influence on the conditioning output (default: 1.0, step: 0.01) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model used for tokenization and encoding | CLIP | Yes | - | +| `tags` | Text tags or descriptions for audio conditioning (supports multiline input and dynamic prompts) | STRING | Yes | - | +| `lyrics` | Lyrics text for audio conditioning (supports multiline input and dynamic prompts) | STRING | Yes | - | +| `lyrics_strength` | Controls the strength of lyrics influence on the conditioning output (default: 1.0, step: 0.01) | FLOAT | No | 0.0 - 10.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `conditioning` | CONDITIONING | The encoded conditioning data containing processed text tokens with applied lyrics strength | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `conditioning` | The encoded conditioning data containing processed text tokens with applied lyrics strength | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/en.md) --- **Source fingerprint (SHA-256):** `79cdc3b7d0728a7fdb771243bc1b30f252cc322892df634584698a8f2c4d1633` diff --git a/built-in-nodes/TextEncodeAceStepAudio1.5.mdx b/built-in-nodes/TextEncodeAceStepAudio1.5.mdx index 81f8aeadb..f74e623b4 100644 --- a/built-in-nodes/TextEncodeAceStepAudio1.5.mdx +++ b/built-in-nodes/TextEncodeAceStepAudio1.5.mdx @@ -5,35 +5,35 @@ sidebarTitle: "TextEncodeAceStepAudio1.5" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio1.5/en.md) - The TextEncodeAceStepAudio1.5 node prepares text and audio-related metadata for use with the AceStepAudio 1.5 model. It takes descriptive tags, lyrics, and musical parameters, then uses a CLIP model to convert them into a conditioning format suitable for audio generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | N/A | The CLIP model used to tokenize and encode the input text. | -| `tags` | STRING | Yes | N/A | Descriptive tags for the audio, such as genre, mood, or instruments. Supports multiline input and dynamic prompts. | -| `lyrics` | STRING | Yes | N/A | The lyrics for the audio track. Supports multiline input and dynamic prompts. | -| `seed` | INT | No | 0 to 18446744073709551615 | A random seed value for reproducible generation. Has a control_after_generate widget. Default: 0. | -| `bpm` | INT | No | 10 to 300 | The beats per minute (BPM) for the generated audio. Default: 120. | -| `duration` | FLOAT | No | 0.0 to 2000.0 | The desired duration of the audio in seconds. Default: 120.0. | -| `timesignature` | COMBO | No | `"2"`
`"3"`
`"4"`
`"6"` | The musical time signature. | -| `language` | COMBO | No | `"ar"`
`"az"`
`"bg"`
`"bn"`
`"ca"`
`"cs"`
`"da"`
`"de"`
`"el"`
`"en"`
`"es"`
`"fa"`
`"fi"`
`"fr"`
`"he"`
`"hi"`
`"hr"`
`"ht"`
`"hu"`
`"id"`
`"is"`
`"it"`
`"ja"`
`"ko"`
`"la"`
`"lt"`
`"ms"`
`"ne"`
`"nl"`
`"no"`
`"pa"`
`"pl"`
`"pt"`
`"ro"`
`"ru"`
`"sa"`
`"sk"`
`"sr"`
`"sv"`
`"sw"`
`"ta"`
`"te"`
`"th"`
`"tl"`
`"tr"`
`"uk"`
`"ur"`
`"vi"`
`"yue"`
`"zh"`
`"unknown"` | The language of the input text. Default: "en". | -| `keyscale` | COMBO | No | `"C major"`
`"C minor"`
`"C# major"`
`"C# minor"`
`"Db major"`
`"Db minor"`
`"D major"`
`"D minor"`
`"D# major"`
`"D# minor"`
`"Eb major"`
`"Eb minor"`
`"E major"`
`"E minor"`
`"F major"`
`"F minor"`
`"F# major"`
`"F# minor"`
`"Gb major"`
`"Gb minor"`
`"G major"`
`"G minor"`
`"G# major"`
`"G# minor"`
`"Ab major"`
`"Ab minor"`
`"A major"`
`"A minor"`
`"A# major"`
`"A# minor"`
`"Bb major"`
`"Bb minor"`
`"B major"`
`"B minor"` | The musical key and scale (major or minor). | -| `generate_audio_codes` | BOOLEAN | No | N/A | Enable the LLM that generates audio codes. This can be slow but will increase the quality of the generated audio. Turn this off if you are giving the model an audio reference. Default: True. | -| `cfg_scale` | FLOAT | No | 0.0 to 100.0 | The classifier-free guidance scale. Higher values make the output more closely follow the prompt. Default: 2.0. | -| `temperature` | FLOAT | No | 0.0 to 2.0 | A sampling temperature. Lower values make the output more deterministic. Default: 0.85. | -| `top_p` | FLOAT | No | 0.0 to 2000.0 | The nucleus sampling probability (top-p). Default: 0.9. | -| `top_k` | INT | No | 0 to 100 | The number of highest probability tokens to consider (top-k). Default: 0. | -| `min_p` | FLOAT | No | 0.0 to 1.0 | The minimum probability threshold for token sampling (min-p). Default: 0.000. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model used to tokenize and encode the input text. | CLIP | Yes | N/A | +| `tags` | Descriptive tags for the audio, such as genre, mood, or instruments. Supports multiline input and dynamic prompts. | STRING | Yes | N/A | +| `lyrics` | The lyrics for the audio track. Supports multiline input and dynamic prompts. | STRING | Yes | N/A | +| `seed` | A random seed value for reproducible generation. Has a control_after_generate widget. Default: 0. | INT | No | 0 to 18446744073709551615 | +| `bpm` | The beats per minute (BPM) for the generated audio. Default: 120. | INT | No | 10 to 300 | +| `duration` | The desired duration of the audio in seconds. Default: 120.0. | FLOAT | No | 0.0 to 2000.0 | +| `timesignature` | The musical time signature. | COMBO | No | `"2"`
`"3"`
`"4"`
`"6"` | +| `language` | The language of the input text. Default: "en". | COMBO | No | `"ar"`
`"az"`
`"bg"`
`"bn"`
`"ca"`
`"cs"`
`"da"`
`"de"`
`"el"`
`"en"`
`"es"`
`"fa"`
`"fi"`
`"fr"`
`"he"`
`"hi"`
`"hr"`
`"ht"`
`"hu"`
`"id"`
`"is"`
`"it"`
`"ja"`
`"ko"`
`"la"`
`"lt"`
`"ms"`
`"ne"`
`"nl"`
`"no"`
`"pa"`
`"pl"`
`"pt"`
`"ro"`
`"ru"`
`"sa"`
`"sk"`
`"sr"`
`"sv"`
`"sw"`
`"ta"`
`"te"`
`"th"`
`"tl"`
`"tr"`
`"uk"`
`"ur"`
`"vi"`
`"yue"`
`"zh"`
`"unknown"` | +| `keyscale` | The musical key and scale (major or minor). | COMBO | No | `"C major"`
`"C minor"`
`"C# major"`
`"C# minor"`
`"Db major"`
`"Db minor"`
`"D major"`
`"D minor"`
`"D# major"`
`"D# minor"`
`"Eb major"`
`"Eb minor"`
`"E major"`
`"E minor"`
`"F major"`
`"F minor"`
`"F# major"`
`"F# minor"`
`"Gb major"`
`"Gb minor"`
`"G major"`
`"G minor"`
`"G# major"`
`"G# minor"`
`"Ab major"`
`"Ab minor"`
`"A major"`
`"A minor"`
`"A# major"`
`"A# minor"`
`"Bb major"`
`"Bb minor"`
`"B major"`
`"B minor"` | +| `generate_audio_codes` | Enable the LLM that generates audio codes. This can be slow but will increase the quality of the generated audio. Turn this off if you are giving the model an audio reference. Default: True. | BOOLEAN | No | N/A | +| `cfg_scale` | The classifier-free guidance scale. Higher values make the output more closely follow the prompt. Default: 2.0. | FLOAT | No | 0.0 to 100.0 | +| `temperature` | A sampling temperature. Lower values make the output more deterministic. Default: 0.85. | FLOAT | No | 0.0 to 2.0 | +| `top_p` | The nucleus sampling probability (top-p). Default: 0.9. | FLOAT | No | 0.0 to 2000.0 | +| `top_k` | The number of highest probability tokens to consider (top-k). Default: 0. | INT | No | 0 to 100 | +| `min_p` | The minimum probability threshold for token sampling (min-p). Default: 0.000. | FLOAT | No | 0.0 to 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The conditioning data, which contains the encoded text and audio parameters for the AceStepAudio 1.5 model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The conditioning data, which contains the encoded text and audio parameters for the AceStepAudio 1.5 model. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio1.5/en.md) --- **Source fingerprint (SHA-256):** `cf948180c3576cd484593f03e849c04857cfb57a198071123ed44ec7b5067521` diff --git a/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx b/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx index abc786573..46ffa5159 100644 --- a/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx +++ b/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx @@ -5,24 +5,24 @@ sidebarTitle: "TextEncodeHunyuanVideo_ImageToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/en.md) - The TextEncodeHunyuanVideo_ImageToVideo node creates conditioning data for video generation by combining text prompts with image embeddings. It uses a CLIP model to process both the text input and visual information from a CLIP vision output, then generates tokens that blend these two sources according to the specified image interleave setting. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | The CLIP model used for tokenization and encoding | -| `clip_vision_output` | CLIP_VISION_OUTPUT | Yes | - | The visual embeddings from a CLIP vision model that provide image context | -| `prompt` | STRING | Yes | - | The text description to guide the video generation. Supports multiline input and dynamic prompts. The prompt is formatted using a template that asks the model to describe the video based on the reference image, covering aspects like main content, object details, actions, background, and camera angles. | -| `image_interleave` | INT | Yes | 1-512 | How much the image influences things vs the text prompt. Higher number means more influence from the text prompt. (default: 2) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model used for tokenization and encoding | CLIP | Yes | - | +| `clip_vision_output` | The visual embeddings from a CLIP vision model that provide image context | CLIP_VISION_OUTPUT | Yes | - | +| `prompt` | The text description to guide the video generation. Supports multiline input and dynamic prompts. The prompt is formatted using a template that asks the model to describe the video based on the reference image, covering aspects like main content, object details, actions, background, and camera angles. | STRING | Yes | - | +| `image_interleave` | How much the image influences things vs the text prompt. Higher number means more influence from the text prompt. (default: 2) | INT | Yes | 1-512 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The conditioning data that combines text and image information for video generation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The conditioning data that combines text and image information for video generation | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/en.md) --- **Source fingerprint (SHA-256):** `ecc190941e8d355bc6e6e4b5b7938d54a79e70a7ff0049157dab30b720605e6a` diff --git a/built-in-nodes/TextEncodeQwenImageEdit.mdx b/built-in-nodes/TextEncodeQwenImageEdit.mdx index a5a70b6b7..f2d53a931 100644 --- a/built-in-nodes/TextEncodeQwenImageEdit.mdx +++ b/built-in-nodes/TextEncodeQwenImageEdit.mdx @@ -5,26 +5,26 @@ sidebarTitle: "TextEncodeQwenImageEdit" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEdit/en.md) - The TextEncodeQwenImageEdit node processes text prompts and optional images to generate conditioning data for image generation or editing. It uses a CLIP model to tokenize the input and can optionally encode reference images using a VAE to create reference latents. When an image is provided, it automatically resizes the image to maintain consistent processing dimensions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | The CLIP model used for text and image tokenization | -| `prompt` | STRING | Yes | - | Text prompt for conditioning generation, supports multiline input and dynamic prompts | -| `vae` | VAE | No | - | Optional VAE model for encoding reference images into latents | -| `image` | IMAGE | No | - | Optional input image for reference or editing purposes | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model used for text and image tokenization | CLIP | Yes | - | +| `prompt` | Text prompt for conditioning generation, supports multiline input and dynamic prompts | STRING | Yes | - | +| `vae` | Optional VAE model for encoding reference images into latents | VAE | No | - | +| `image` | Optional input image for reference or editing purposes | IMAGE | No | - | **Note:** When both `image` and `vae` are provided, the node encodes the image into reference latents and attaches them to the conditioning output. The image is automatically resized to maintain a consistent processing scale of approximately 1024x1024 pixels. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | Conditioning data containing text tokens and optional reference latents for image generation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | Conditioning data containing text tokens and optional reference latents for image generation | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEdit/en.md) --- **Source fingerprint (SHA-256):** `7d1f82174d92ee86ca35e14a364e1a703fb9fc1ac9979611bd894a0a639c58a2` diff --git a/built-in-nodes/TextEncodeQwenImageEditPlus.mdx b/built-in-nodes/TextEncodeQwenImageEditPlus.mdx index 6d4954868..b6ae884f7 100644 --- a/built-in-nodes/TextEncodeQwenImageEditPlus.mdx +++ b/built-in-nodes/TextEncodeQwenImageEditPlus.mdx @@ -5,28 +5,28 @@ sidebarTitle: "TextEncodeQwenImageEditPlus" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/en.md) - The TextEncodeQwenImageEditPlus node processes text prompts and optional images to generate conditioning data for image generation or editing tasks. It uses a specialized template to analyze input images and understand how text instructions should modify them, then encodes this information for use in subsequent generation steps. The node can handle up to three input images and optionally generate reference latents when a VAE is provided. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | - | The CLIP model used for tokenization and encoding | -| `prompt` | STRING | Yes | - | Text instruction describing the desired image modification (supports multiline input and dynamic prompts) | -| `vae` | VAE | No | - | Optional VAE model for generating reference latents from input images | -| `image1` | IMAGE | No | - | First optional input image for analysis and modification | -| `image2` | IMAGE | No | - | Second optional input image for analysis and modification | -| `image3` | IMAGE | No | - | Third optional input image for analysis and modification | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model used for tokenization and encoding | CLIP | Yes | - | +| `prompt` | Text instruction describing the desired image modification (supports multiline input and dynamic prompts) | STRING | Yes | - | +| `vae` | Optional VAE model for generating reference latents from input images | VAE | No | - | +| `image1` | First optional input image for analysis and modification | IMAGE | No | - | +| `image2` | Second optional input image for analysis and modification | IMAGE | No | - | +| `image3` | Third optional input image for analysis and modification | IMAGE | No | - | **Note:** When a VAE is provided, the node generates reference latents from all input images. The node can process up to three images simultaneously. Images are automatically resized to 384x384 pixels for vision-language processing, and to dimensions divisible by 8 (with a target area of 1024x1024 pixels) for VAE encoding. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | Encoded conditioning data containing text tokens and optional reference latents for image generation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | Encoded conditioning data containing text tokens and optional reference latents for image generation | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/en.md) --- **Source fingerprint (SHA-256):** `40e0104e1a5fd88afb889948bc43559f99049a91c03c3f9885455b6dbfde343e` diff --git a/built-in-nodes/TextEncodeZImageOmni.mdx b/built-in-nodes/TextEncodeZImageOmni.mdx index 38d630e5e..3e1fa73f8 100644 --- a/built-in-nodes/TextEncodeZImageOmni.mdx +++ b/built-in-nodes/TextEncodeZImageOmni.mdx @@ -5,30 +5,30 @@ sidebarTitle: "TextEncodeZImageOmni" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeZImageOmni/en.md) - The TextEncodeZImageOmni node is an advanced conditioning node that encodes a text prompt along with optional reference images into a conditioning format suitable for image generation models. It can process up to three images, optionally encoding them with a vision encoder and/or a VAE to produce reference latents, and integrates these visual references with the text prompt using a specific template structure. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | | The CLIP model used for tokenizing and encoding the text prompt. | -| `image_encoder` | CLIPVision | No | | An optional vision encoder model. If provided, it will be used to encode the input images, and the resulting embeddings will be added to the conditioning. | -| `prompt` | STRING | Yes | | The text prompt to be encoded. This field supports multiline input and dynamic prompts. | -| `auto_resize_images` | BOOLEAN | No | | When enabled (default: True), input images will be automatically resized based on their pixel area before being passed to the VAE for encoding. | -| `vae` | VAE | No | | An optional VAE model. If provided, it will be used to encode the input images into latent representations, which are added to the conditioning as reference latents. | -| `image1` | IMAGE | No | | The first optional reference image. | -| `image2` | IMAGE | No | | The second optional reference image. | -| `image3` | IMAGE | No | | The third optional reference image. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model used for tokenizing and encoding the text prompt. | CLIP | Yes | | +| `image_encoder` | An optional vision encoder model. If provided, it will be used to encode the input images, and the resulting embeddings will be added to the conditioning. | CLIPVision | No | | +| `prompt` | The text prompt to be encoded. This field supports multiline input and dynamic prompts. | STRING | Yes | | +| `auto_resize_images` | When enabled (default: True), input images will be automatically resized based on their pixel area before being passed to the VAE for encoding. | BOOLEAN | No | | +| `vae` | An optional VAE model. If provided, it will be used to encode the input images into latent representations, which are added to the conditioning as reference latents. | VAE | No | | +| `image1` | The first optional reference image. | IMAGE | No | | +| `image2` | The second optional reference image. | IMAGE | No | | +| `image3` | The third optional reference image. | IMAGE | No | | **Note:** The node can accept a maximum of three images (`image1`, `image2`, `image3`). The `image_encoder` and `vae` inputs are only utilized if at least one image is provided. When `auto_resize_images` is True and a `vae` is connected, images are resized to have a total pixel area close to 1024x1024 before encoding. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The final conditioning output, which contains the encoded text prompt and may include encoded image embeddings and/or reference latents if images were provided. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CONDITIONING` | The final conditioning output, which contains the encoded text prompt and may include encoded image embeddings and/or reference latents if images were provided. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeZImageOmni/en.md) --- **Source fingerprint (SHA-256):** `5edda1e70c2189c164fbde427999e74bfa21f4401feb7067e483802ca1c2df31` diff --git a/built-in-nodes/TextGenerate.mdx b/built-in-nodes/TextGenerate.mdx index 1ea2eb23b..85943f122 100644 --- a/built-in-nodes/TextGenerate.mdx +++ b/built-in-nodes/TextGenerate.mdx @@ -5,38 +5,38 @@ sidebarTitle: "TextGenerate" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerate/en.md) - The TextGenerate node uses a CLIP model to create text based on a user's prompt. It can optionally use images, video, or audio as additional context to guide the text generation. You can control the length of the output, enable a thinking mode for supported models, and choose whether to use random sampling with various settings or to generate text without sampling. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | N/A | The CLIP model used for tokenizing the prompt and generating text. | -| `prompt` | STRING | Yes | N/A | The text prompt that guides the generation. This field supports multiple lines and dynamic prompts. The default value is an empty string. | -| `image` | IMAGE | No | N/A | An optional image that can be used alongside the text prompt to influence the generated text. | -| `video` | IMAGE | No | N/A | Video frames as an image batch. Assumed to be 24 FPS; subsampled to 1 FPS internally. | -| `audio` | AUDIO | No | N/A | An optional audio input that can be used alongside the text prompt to influence the generated text. | -| `max_length` | INT | Yes | 1 to 2048 | The maximum number of tokens the model will generate. The default value is 256. | -| `sampling_mode` | COMBO | Yes | `"on"`
`"off"` | Controls whether random sampling is used during text generation. When set to "on", additional parameters for controlling the sampling become available. The default is "on". | -| `thinking` | BOOLEAN | No | True or False | Operate in thinking mode if the model supports it. The default value is False. | -| `use_default_template` | BOOLEAN | No | True or False | Use the built-in system prompt/template if the model has one. The default value is True. This is an advanced parameter. | -| `temperature` | FLOAT | No | 0.01 to 2.0 | Controls the randomness of the output. Lower values make the output more predictable, higher values make it more creative. This parameter is only available when `sampling_mode` is "on". The default value is 0.7. | -| `top_k` | INT | No | 0 to 1000 | Limits the sampling pool to the top K most likely next tokens. A value of 0 disables this filter. This parameter is only available when `sampling_mode` is "on". The default value is 64. | -| `top_p` | FLOAT | No | 0.0 to 1.0 | Uses nucleus sampling, limiting choices to tokens whose cumulative probability is less than this value. This parameter is only available when `sampling_mode` is "on". The default value is 0.95. | -| `min_p` | FLOAT | No | 0.0 to 1.0 | Sets a minimum probability threshold for tokens to be considered. This parameter is only available when `sampling_mode` is "on". The default value is 0.05. | -| `repetition_penalty` | FLOAT | No | 0.0 to 5.0 | Penalizes tokens that have already been generated to reduce repetition. A value of 1.0 applies no penalty. This parameter is only available when `sampling_mode` is "on". The default value is 1.05. | -| `presence_penalty` | FLOAT | No | 0.0 to 5.0 | Penalizes new tokens based on whether they have appeared in the text so far, encouraging the model to talk about new topics. This parameter is only available when `sampling_mode` is "on". The default value is 0.0. | -| `seed` | INT | No | 0 to 18446744073709551615 | A number used to initialize the random number generator for reproducible results when sampling is "on". The default value is 0. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model used for tokenizing the prompt and generating text. | CLIP | Yes | N/A | +| `prompt` | The text prompt that guides the generation. This field supports multiple lines and dynamic prompts. The default value is an empty string. | STRING | Yes | N/A | +| `image` | An optional image that can be used alongside the text prompt to influence the generated text. | IMAGE | No | N/A | +| `video` | Video frames as an image batch. Assumed to be 24 FPS; subsampled to 1 FPS internally. | IMAGE | No | N/A | +| `audio` | An optional audio input that can be used alongside the text prompt to influence the generated text. | AUDIO | No | N/A | +| `max_length` | The maximum number of tokens the model will generate. The default value is 256. | INT | Yes | 1 to 2048 | +| `sampling_mode` | Controls whether random sampling is used during text generation. When set to "on", additional parameters for controlling the sampling become available. The default is "on". | COMBO | Yes | `"on"`
`"off"` | +| `thinking` | Operate in thinking mode if the model supports it. The default value is False. | BOOLEAN | No | True or False | +| `use_default_template` | Use the built-in system prompt/template if the model has one. The default value is True. This is an advanced parameter. | BOOLEAN | No | True or False | +| `temperature` | Controls the randomness of the output. Lower values make the output more predictable, higher values make it more creative. This parameter is only available when `sampling_mode` is "on". The default value is 0.7. | FLOAT | No | 0.01 to 2.0 | +| `top_k` | Limits the sampling pool to the top K most likely next tokens. A value of 0 disables this filter. This parameter is only available when `sampling_mode` is "on". The default value is 64. | INT | No | 0 to 1000 | +| `top_p` | Uses nucleus sampling, limiting choices to tokens whose cumulative probability is less than this value. This parameter is only available when `sampling_mode` is "on". The default value is 0.95. | FLOAT | No | 0.0 to 1.0 | +| `min_p` | Sets a minimum probability threshold for tokens to be considered. This parameter is only available when `sampling_mode` is "on". The default value is 0.05. | FLOAT | No | 0.0 to 1.0 | +| `repetition_penalty` | Penalizes tokens that have already been generated to reduce repetition. A value of 1.0 applies no penalty. This parameter is only available when `sampling_mode` is "on". The default value is 1.05. | FLOAT | No | 0.0 to 5.0 | +| `presence_penalty` | Penalizes new tokens based on whether they have appeared in the text so far, encouraging the model to talk about new topics. This parameter is only available when `sampling_mode` is "on". The default value is 0.0. | FLOAT | No | 0.0 to 5.0 | +| `seed` | A number used to initialize the random number generator for reproducible results when sampling is "on". The default value is 0. | INT | No | 0 to 18446744073709551615 | **Note:** The parameters `temperature`, `top_k`, `top_p`, `min_p`, `repetition_penalty`, `presence_penalty`, and `seed` are only active and visible in the node interface when the `sampling_mode` is set to "on". ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `generated_text` | STRING | The text generated by the model based on the input prompt and optional image, video, or audio. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `generated_text` | The text generated by the model based on the input prompt and optional image, video, or audio. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerate/en.md) --- **Source fingerprint (SHA-256):** `d2d08577e4d5aeea60f5517377730c4917df607be32f29227b07b1011b0f2c2d` diff --git a/built-in-nodes/TextGenerateLTX2Prompt.mdx b/built-in-nodes/TextGenerateLTX2Prompt.mdx index dc4039715..4d4410867 100644 --- a/built-in-nodes/TextGenerateLTX2Prompt.mdx +++ b/built-in-nodes/TextGenerateLTX2Prompt.mdx @@ -5,31 +5,31 @@ sidebarTitle: "TextGenerateLTX2Prompt" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerateLTX2Prompt/en.md) - The TextGenerateLTX2Prompt node is a specialized version of a text generation node. It takes a user's text prompt and automatically formats it with specific system instructions before sending it to a language model for enhancement or completion. The node can operate in two modes: text-only or with an image reference, using different system prompts for each case. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | Yes | | The CLIP model used for text encoding. | -| `prompt` | STRING | Yes | | The raw text input from the user that will be enhanced or completed. | -| `max_length` | INT | Yes | | The maximum number of tokens the language model is allowed to generate. | -| `sampling_mode` | COMBO | Yes | `"greedy"`
`"top_k"`
`"top_p"`
`"temperature"` | The sampling strategy used to select the next token during text generation. | -| `image` | IMAGE | No | | An optional input image. When provided, the node uses a different system prompt that includes a placeholder for image context. | -| `thinking` | BOOLEAN | No | | When enabled, the model will output its reasoning process before the final answer. | -| `use_default_template` | BOOLEAN | No | | When enabled, the node will use the default chat template for formatting. | -| `video` | VIDEO | No | | An optional video input that can be used as additional context for generation. | -| `audio` | AUDIO | No | | An optional audio input that can be used as additional context for generation. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip` | The CLIP model used for text encoding. | CLIP | Yes | | +| `prompt` | The raw text input from the user that will be enhanced or completed. | STRING | Yes | | +| `max_length` | The maximum number of tokens the language model is allowed to generate. | INT | Yes | | +| `sampling_mode` | The sampling strategy used to select the next token during text generation. | COMBO | Yes | `"greedy"`
`"top_k"`
`"top_p"`
`"temperature"` | +| `image` | An optional input image. When provided, the node uses a different system prompt that includes a placeholder for image context. | IMAGE | No | | +| `thinking` | When enabled, the model will output its reasoning process before the final answer. | BOOLEAN | No | | +| `use_default_template` | When enabled, the node will use the default chat template for formatting. | BOOLEAN | No | | +| `video` | An optional video input that can be used as additional context for generation. | VIDEO | No | | +| `audio` | An optional audio input that can be used as additional context for generation. | AUDIO | No | | **Note:** The behavior of the node changes based on the presence of the `image` input. If an image is provided, the generated prompt will be formatted for an image-to-video task using a system prompt that describes how to expand the prompt based on the image's content. If no image is provided, the formatting will be for a text-to-video task using a system prompt that expands the prompt into a detailed video generation description. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | STRING | The enhanced or completed text string generated by the language model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The enhanced or completed text string generated by the language model. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerateLTX2Prompt/en.md) --- **Source fingerprint (SHA-256):** `c037e526efab4b4e8eeeb84b4374d33a295996632b9897259806502ca32f48e1` diff --git a/built-in-nodes/TextToLowercase.mdx b/built-in-nodes/TextToLowercase.mdx index 86247e729..2229066d5 100644 --- a/built-in-nodes/TextToLowercase.mdx +++ b/built-in-nodes/TextToLowercase.mdx @@ -5,23 +5,23 @@ sidebarTitle: "TextToLowercase" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToLowercase/en.md) - The Text to Lowercase node takes a text string as input and converts all of its characters to lowercase. It is a simple utility for standardizing text case. > **Note:** This node is deprecated and superseded by the Convert Text Case node. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | Yes | Any text string | The text string to be converted to lowercase. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `text` | The text string to be converted to lowercase. | STRING | Yes | Any text string | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `text` | STRING | The input text with all characters converted to lowercase. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `text` | The input text with all characters converted to lowercase. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToLowercase/en.md) --- **Source fingerprint (SHA-256):** `7ebafc952672510cbadf4549d37c5566bef474b8d1d159af4086cde64bcad849` diff --git a/built-in-nodes/TextToUppercase.mdx b/built-in-nodes/TextToUppercase.mdx index f7c37809d..5e0a689e7 100644 --- a/built-in-nodes/TextToUppercase.mdx +++ b/built-in-nodes/TextToUppercase.mdx @@ -5,23 +5,23 @@ sidebarTitle: "TextToUppercase" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToUppercase/en.md) - The Text to Uppercase node takes a text input and converts all of its characters to uppercase. It is a simple text processing utility that modifies the case of the provided string. **Note:** This node is deprecated and superseded by the Convert Text Case node. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | Yes | N/A | The text string to be converted to uppercase. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `text` | The text string to be converted to uppercase. | STRING | Yes | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `text` | STRING | The resulting text with all characters converted to uppercase. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `text` | The resulting text with all characters converted to uppercase. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToUppercase/en.md) --- **Source fingerprint (SHA-256):** `b1d8c05aceda4dfd95400b40fdf01b16dccaa4e093e62d298b12753bfc0278a2` diff --git a/built-in-nodes/ThresholdMask.mdx b/built-in-nodes/ThresholdMask.mdx index 5653b559d..7907b3764 100644 --- a/built-in-nodes/ThresholdMask.mdx +++ b/built-in-nodes/ThresholdMask.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ThresholdMask" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ThresholdMask/en.md) - The ThresholdMask node converts a mask to a binary mask by applying a threshold value. It compares each pixel in the input mask against the specified threshold value and creates a new mask where pixels above the threshold become 1 (white) and pixels below or equal to the threshold become 0 (black). ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `mask` | MASK | Yes | - | The input mask to be processed | -| `value` | FLOAT | Yes | 0.0 - 1.0 | The threshold value for binarization (default: 0.5) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `mask` | The input mask to be processed | MASK | Yes | - | +| `value` | The threshold value for binarization (default: 0.5) | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `mask` | MASK | The resulting binary mask after thresholding | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `mask` | The resulting binary mask after thresholding | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ThresholdMask/en.md) --- **Source fingerprint (SHA-256):** `eff4479b70c1ca87ba9ba17b771edf5d816cf13c12ac0767cd7ee79d18e326c3` diff --git a/built-in-nodes/TomePatchModel.mdx b/built-in-nodes/TomePatchModel.mdx index 301df783b..6ac115d9a 100644 --- a/built-in-nodes/TomePatchModel.mdx +++ b/built-in-nodes/TomePatchModel.mdx @@ -5,22 +5,22 @@ sidebarTitle: "TomePatchModel" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TomePatchModel/en.md) - The TomePatchModel node applies Token Merging (ToMe) to a diffusion model to reduce computational requirements during inference. It works by selectively merging similar tokens in the attention mechanism, allowing the model to process fewer tokens while maintaining image quality. This technique helps speed up generation without significant quality loss. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The diffusion model to apply token merging to | -| `ratio` | FLOAT | Yes | 0.0 - 1.0 | The ratio of tokens to merge (default: 0.3). Higher values merge more tokens, resulting in greater speedup but potentially lower quality. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The diffusion model to apply token merging to | MODEL | Yes | - | +| `ratio` | The ratio of tokens to merge (default: 0.3). Higher values merge more tokens, resulting in greater speedup but potentially lower quality. | FLOAT | Yes | 0.0 - 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with token merging applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with token merging applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TomePatchModel/en.md) --- **Source fingerprint (SHA-256):** `f2549a504397ee2ba96a0fa5ad5c3e69da2cd0996087af439d151f1f33f4a51e` diff --git a/built-in-nodes/TopazImageEnhance.mdx b/built-in-nodes/TopazImageEnhance.mdx index 93988ceba..305342957 100644 --- a/built-in-nodes/TopazImageEnhance.mdx +++ b/built-in-nodes/TopazImageEnhance.mdx @@ -5,35 +5,35 @@ sidebarTitle: "TopazImageEnhance" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazImageEnhance/en.md) - The Topaz Image Enhance node provides industry-standard upscaling and image enhancement. It processes a single input image using a cloud-based AI model to improve quality, detail, and resolution. The node offers fine-grained control over the enhancement process, including options for creative guidance, subject focus, and facial preservation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"Reimagine"` | The AI model to use for image enhancement. | -| `image` | IMAGE | Yes | - | The input image to be enhanced. Only one image is supported. | -| `prompt` | STRING | No | - | An optional text prompt for creative upscaling guidance (default: empty). | -| `subject_detection` | COMBO | No | `"All"`
`"Foreground"`
`"Background"` | Controls which part of the image the enhancement focuses on (default: "All"). | -| `face_enhancement` | BOOLEAN | No | - | Enable to enhance faces if they are present in the image (default: True). | -| `face_enhancement_creativity` | FLOAT | No | 0.0 - 1.0 | Sets the creativity level for face enhancement (default: 0.0). | -| `face_enhancement_strength` | FLOAT | No | 0.0 - 1.0 | Controls how sharp enhanced faces are relative to the background (default: 1.0). | -| `crop_to_fill` | BOOLEAN | No | - | By default, the image is letterboxed when the output aspect ratio differs. Enable to crop the image to fill the output dimensions instead (default: False). | -| `output_width` | INT | No | 0 - 32000 | The desired width of the output image. A value of 0 means it will be calculated automatically, usually based on the original size or the `output_height` if specified (default: 0). | -| `output_height` | INT | No | 0 - 32000 | The desired height of the output image. A value of 0 means it will be calculated automatically, usually based on the original size or the `output_width` if specified (default: 0). | -| `creativity` | INT | No | 1 - 9 | Controls the overall creativity level of the enhancement (default: 3). | -| `face_preservation` | BOOLEAN | No | - | Preserve the facial identity of subjects in the image (default: True). | -| `color_preservation` | BOOLEAN | No | - | Preserve the original colors of the input image (default: True). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model to use for image enhancement. | COMBO | Yes | `"Reimagine"` | +| `image` | The input image to be enhanced. Only one image is supported. | IMAGE | Yes | - | +| `prompt` | An optional text prompt for creative upscaling guidance (default: empty). | STRING | No | - | +| `subject_detection` | Controls which part of the image the enhancement focuses on (default: "All"). | COMBO | No | `"All"`
`"Foreground"`
`"Background"` | +| `face_enhancement` | Enable to enhance faces if they are present in the image (default: True). | BOOLEAN | No | - | +| `face_enhancement_creativity` | Sets the creativity level for face enhancement (default: 0.0). | FLOAT | No | 0.0 - 1.0 | +| `face_enhancement_strength` | Controls how sharp enhanced faces are relative to the background (default: 1.0). | FLOAT | No | 0.0 - 1.0 | +| `crop_to_fill` | By default, the image is letterboxed when the output aspect ratio differs. Enable to crop the image to fill the output dimensions instead (default: False). | BOOLEAN | No | - | +| `output_width` | The desired width of the output image. A value of 0 means it will be calculated automatically, usually based on the original size or the `output_height` if specified (default: 0). | INT | No | 0 - 32000 | +| `output_height` | The desired height of the output image. A value of 0 means it will be calculated automatically, usually based on the original size or the `output_width` if specified (default: 0). | INT | No | 0 - 32000 | +| `creativity` | Controls the overall creativity level of the enhancement (default: 3). | INT | No | 1 - 9 | +| `face_preservation` | Preserve the facial identity of subjects in the image (default: True). | BOOLEAN | No | - | +| `color_preservation` | Preserve the original colors of the input image (default: True). | BOOLEAN | No | - | **Note:** This node can only process a single input image. Providing a batch of multiple images will result in an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The enhanced output image. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The enhanced output image. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazImageEnhance/en.md) --- **Source fingerprint (SHA-256):** `c569f4873f5e008f62ccae9a93ef40fe79554c003e7e52c5ac91241b0d08978a` diff --git a/built-in-nodes/TopazVideoEnhance.mdx b/built-in-nodes/TopazVideoEnhance.mdx index b78f32733..580b685f8 100644 --- a/built-in-nodes/TopazVideoEnhance.mdx +++ b/built-in-nodes/TopazVideoEnhance.mdx @@ -5,34 +5,34 @@ sidebarTitle: "TopazVideoEnhance" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md) - The Topaz Video Enhance node uses an external API to improve video quality. It can upscale video resolution, increase frame rate through interpolation, and apply compression. The node processes an input MP4 video and returns an enhanced version based on the selected settings. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | - | The input video file to be enhanced. | -| `upscaler_enabled` | BOOLEAN | Yes | - | Enables or disables the video upscaling feature (default: True). | -| `upscaler_model` | COMBO | Yes | `"Starlight (Astra) Fast"`
`"Starlight (Astra) Creative"`
`"Starlight Precise 2.5"` | The AI model used for upscaling the video. | -| `upscaler_resolution` | COMBO | Yes | `"FullHD (1080p)"`
`"4K (2160p)"` | The target resolution for the upscaled video. | -| `upscaler_creativity` | COMBO | No | `"low"`
`"middle"`
`"high"` | Creativity level (applies only to Starlight (Astra) Creative). (default: "low") | -| `interpolation_enabled` | BOOLEAN | No | - | Enables or disables the frame interpolation feature (default: False). | -| `interpolation_model` | COMBO | No | `"apo-8"` | The model used for frame interpolation (default: "apo-8"). | -| `interpolation_slowmo` | INT | No | 1 to 16 | Slow-motion factor applied to the input video. For example, 2 makes the output twice as slow and doubles the duration. (default: 1) | -| `interpolation_frame_rate` | INT | No | 15 to 240 | Output frame rate. (default: 60) | -| `interpolation_duplicate` | BOOLEAN | No | - | Analyze the input for duplicate frames and remove them. (default: False) | -| `interpolation_duplicate_threshold` | FLOAT | No | 0.001 to 0.1 | Detection sensitivity for duplicate frames. (default: 0.01) | -| `dynamic_compression_level` | COMBO | No | `"Low"`
`"Mid"`
`"High"` | CQP level. (default: "Low") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | The input video file to be enhanced. | VIDEO | Yes | - | +| `upscaler_enabled` | Enables or disables the video upscaling feature (default: True). | BOOLEAN | Yes | - | +| `upscaler_model` | The AI model used for upscaling the video. | COMBO | Yes | `"Starlight (Astra) Fast"`
`"Starlight (Astra) Creative"`
`"Starlight Precise 2.5"` | +| `upscaler_resolution` | The target resolution for the upscaled video. | COMBO | Yes | `"FullHD (1080p)"`
`"4K (2160p)"` | +| `upscaler_creativity` | Creativity level (applies only to Starlight (Astra) Creative). (default: "low") | COMBO | No | `"low"`
`"middle"`
`"high"` | +| `interpolation_enabled` | Enables or disables the frame interpolation feature (default: False). | BOOLEAN | No | - | +| `interpolation_model` | The model used for frame interpolation (default: "apo-8"). | COMBO | No | `"apo-8"` | +| `interpolation_slowmo` | Slow-motion factor applied to the input video. For example, 2 makes the output twice as slow and doubles the duration. (default: 1) | INT | No | 1 to 16 | +| `interpolation_frame_rate` | Output frame rate. (default: 60) | INT | No | 15 to 240 | +| `interpolation_duplicate` | Analyze the input for duplicate frames and remove them. (default: False) | BOOLEAN | No | - | +| `interpolation_duplicate_threshold` | Detection sensitivity for duplicate frames. (default: 0.01) | FLOAT | No | 0.001 to 0.1 | +| `dynamic_compression_level` | CQP level. (default: "Low") | COMBO | No | `"Low"`
`"Mid"`
`"High"` | **Note:** At least one enhancement feature must be enabled. The node will raise an error if both `upscaler_enabled` and `interpolation_enabled` are set to `False`. The input video must be in MP4 format. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The enhanced output video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The enhanced output video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md) --- **Source fingerprint (SHA-256):** `ef2d1e62c0000f4d9a99014317db2f1c4e0b8a77334024cf614ec0376058a2f7` diff --git a/built-in-nodes/TopazVideoEnhanceV2.mdx b/built-in-nodes/TopazVideoEnhanceV2.mdx index 70bea7f1f..66797d45b 100644 --- a/built-in-nodes/TopazVideoEnhanceV2.mdx +++ b/built-in-nodes/TopazVideoEnhanceV2.mdx @@ -5,29 +5,27 @@ sidebarTitle: "TopazVideoEnhanceV2" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/en.md) - # Topaz Video Enhance V2 The **Topaz Video Enhance V2** node allows you to upscale and enhance video using Topaz Labs' AI models. It can increase resolution, adjust frame rate through interpolation, and apply creative or realistic enhancements to breathe new life into your video footage. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | - | The input video to be processed. Must be in MP4 container format. | -| `upscaler_model` | COMBO | Yes | `"Astra 2"`
`"Starlight (Astra) Fast"`
`"Starlight (Astra) Creative"`
`"Starlight Precise 2.5"`
`"Disabled"` | The AI model used for upscaling the video. Selecting "Disabled" means no upscaling will be applied. | -| `upscaler_model.upscaler_resolution` | COMBO | Conditional | `"FullHD (1080p)"`
`"4K (2160p)"` | The target output resolution for the upscaler. This parameter is required when an upscaler model is selected (not "Disabled"). | -| `upscaler_model.creativity` | FLOAT / COMBO | Conditional | Astra 2: 0.0 to 1.0 (step 0.1)
Starlight Creative: `"low"`
`"middle"`
`"high"` | Creative strength of the upscale. Available only for "Astra 2" and "Starlight (Astra) Creative" models. For Astra 2, it's a slider (default: 0.5). For Starlight Creative, it's a combo (default: "low"). | -| `upscaler_model.prompt` | STRING | No | - | Optional descriptive (not instructive) scene prompt. Only available for the "Astra 2" model. Capped at 450 input frames (~15s @ 30fps) when set. Default: empty. | -| `upscaler_model.sharp` | FLOAT | No | 0.0 to 1.0 (step 0.01) | Pre-enhance sharpness: 0.0=Gaussian blur, 0.5=passthrough (default), 1.0=USM sharpening. Only available for the "Astra 2" model. Default: 0.5. | -| `upscaler_model.realism` | FLOAT | No | 0.0 to 1.0 (step 0.01) | Pulls output toward photographic realism. Leave at 0 for the model default. Only available for the "Astra 2" model. Default: 0.0. | -| `interpolation_model` | COMBO | Yes | `"Disabled"`
`"apo-8"` | The AI model used for frame interpolation. Selecting "Disabled" means no interpolation will be applied. | -| `interpolation_model.interpolation_frame_rate` | INT | Conditional | 15 to 240 | Output frame rate. Required when interpolation model is "apo-8". Default: 60. | -| `interpolation_model.interpolation_slowmo` | INT | No | 1 to 16 | Slow-motion factor applied to the input video. For example, 2 makes the output twice as slow and doubles the duration. Default: 1. | -| `interpolation_model.interpolation_duplicate` | BOOLEAN | No | True/False | Analyze the input for duplicate frames and remove them. Default: False. | -| `interpolation_model.interpolation_duplicate_threshold` | FLOAT | No | 0.001 to 0.1 (step 0.001) | Detection sensitivity for duplicate frames. Default: 0.01. | -| `dynamic_compression_level` | COMBO | No | `"Low"`
`"Mid"`
`"High"` | CQP level for video compression. Default: "Low". | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | The input video to be processed. Must be in MP4 container format. | VIDEO | Yes | - | +| `upscaler_model` | The AI model used for upscaling the video. Selecting "Disabled" means no upscaling will be applied. | COMBO | Yes | `"Astra 2"`
`"Starlight (Astra) Fast"`
`"Starlight (Astra) Creative"`
`"Starlight Precise 2.5"`
`"Disabled"` | +| `upscaler_model.upscaler_resolution` | The target output resolution for the upscaler. This parameter is required when an upscaler model is selected (not "Disabled"). | COMBO | Conditional | `"FullHD (1080p)"`
`"4K (2160p)"` | +| `upscaler_model.creativity` | Creative strength of the upscale. Available only for "Astra 2" and "Starlight (Astra) Creative" models. For Astra 2, it's a slider (default: 0.5). For Starlight Creative, it's a combo (default: "low"). | FLOAT / COMBO | Conditional | Astra 2: 0.0 to 1.0 (step 0.1)
Starlight Creative: `"low"`
`"middle"`
`"high"` | +| `upscaler_model.prompt` | Optional descriptive (not instructive) scene prompt. Only available for the "Astra 2" model. Capped at 450 input frames (~15s @ 30fps) when set. Default: empty. | STRING | No | - | +| `upscaler_model.sharp` | Pre-enhance sharpness: 0.0=Gaussian blur, 0.5=passthrough (default), 1.0=USM sharpening. Only available for the "Astra 2" model. Default: 0.5. | FLOAT | No | 0.0 to 1.0 (step 0.01) | +| `upscaler_model.realism` | Pulls output toward photographic realism. Leave at 0 for the model default. Only available for the "Astra 2" model. Default: 0.0. | FLOAT | No | 0.0 to 1.0 (step 0.01) | +| `interpolation_model` | The AI model used for frame interpolation. Selecting "Disabled" means no interpolation will be applied. | COMBO | Yes | `"Disabled"`
`"apo-8"` | +| `interpolation_model.interpolation_frame_rate` | Output frame rate. Required when interpolation model is "apo-8". Default: 60. | INT | Conditional | 15 to 240 | +| `interpolation_model.interpolation_slowmo` | Slow-motion factor applied to the input video. For example, 2 makes the output twice as slow and doubles the duration. Default: 1. | INT | No | 1 to 16 | +| `interpolation_model.interpolation_duplicate` | Analyze the input for duplicate frames and remove them. Default: False. | BOOLEAN | No | True/False | +| `interpolation_model.interpolation_duplicate_threshold` | Detection sensitivity for duplicate frames. Default: 0.01. | FLOAT | No | 0.001 to 0.1 (step 0.001) | +| `dynamic_compression_level` | CQP level for video compression. Default: "Low". | COMBO | No | `"Low"`
`"Mid"`
`"High"` | **Important Constraints:** - At least one of `upscaler_model` or `interpolation_model` must be enabled (not "Disabled"), otherwise an error is raised. @@ -38,9 +36,11 @@ The **Topaz Video Enhance V2** node allows you to upscale and enhance video usin ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The enhanced video output after applying the selected upscaling and/or interpolation filters. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The enhanced video output after applying the selected upscaling and/or interpolation filters. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/en.md) --- **Source fingerprint (SHA-256):** `3b3df144ecd7de6e0c141cffa30fc7b303e0edc991e714c2f0aaf0e4be903166` diff --git a/built-in-nodes/TorchCompileModel.mdx b/built-in-nodes/TorchCompileModel.mdx index e8b745e7b..5d40117ef 100644 --- a/built-in-nodes/TorchCompileModel.mdx +++ b/built-in-nodes/TorchCompileModel.mdx @@ -5,22 +5,22 @@ sidebarTitle: "TorchCompileModel" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TorchCompileModel/en.md) - The TorchCompileModel node applies PyTorch compilation to a model to optimize its performance. It creates a copy of the input model and wraps it with PyTorch's compilation functionality using the specified backend. This can improve the model's execution speed during inference. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to be compiled and optimized | -| `backend` | STRING | Yes | "inductor"
"cudagraphs" | The PyTorch compilation backend to use for optimization (default: "inductor") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to be compiled and optimized | MODEL | Yes | - | +| `backend` | The PyTorch compilation backend to use for optimization (default: "inductor") | STRING | Yes | "inductor"
"cudagraphs" | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The compiled model with PyTorch compilation applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The compiled model with PyTorch compilation applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TorchCompileModel/en.md) --- **Source fingerprint (SHA-256):** `240c6eb84ce2b93fe4d7c04fcf69df571e662f17893a4fd8e721241ea082edc8` diff --git a/built-in-nodes/TrainLoraNode.mdx b/built-in-nodes/TrainLoraNode.mdx index a0410ccd9..8ebd86597 100644 --- a/built-in-nodes/TrainLoraNode.mdx +++ b/built-in-nodes/TrainLoraNode.mdx @@ -5,35 +5,33 @@ sidebarTitle: "TrainLoraNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrainLoraNode/en.md) - The TrainLoraNode creates and trains a LoRA (Low-Rank Adaptation) model on a diffusion model using provided latents and conditioning data. It allows you to fine-tune a model with custom training parameters, optimizers, and loss functions. The node outputs the trained LoRA weights, a loss history map, and the total training steps completed. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to train the LoRA on. | -| `latents` | LATENT | Yes | - | The Latents to use for training, serve as dataset/input of the model. | -| `positive` | CONDITIONING | Yes | - | The positive conditioning to use for training. | -| `batch_size` | INT | Yes | 1-10000 | The batch size to use for training (default: 1). | -| `grad_accumulation_steps` | INT | Yes | 1-1024 | The number of gradient accumulation steps to use for training (default: 1). | -| `steps` | INT | Yes | 1-100000 | The number of steps to train the LoRA for (default: 16). | -| `learning_rate` | FLOAT | Yes | 0.0000001-1.0 | The learning rate to use for training (default: 0.0005). | -| `rank` | INT | Yes | 1-128 | The rank of the LoRA layers (default: 8). | -| `optimizer` | COMBO | Yes | "AdamW"
"Adam"
"SGD"
"RMSprop" | The optimizer to use for training (default: "AdamW"). | -| `loss_function` | COMBO | Yes | "MSE"
"L1"
"Huber"
"SmoothL1" | The loss function to use for training (default: "MSE"). | -| `seed` | INT | Yes | 0-18446744073709551615 | The seed to use for training (used in generator for LoRA weight initialization and noise sampling) (default: 0). | -| `training_dtype` | COMBO | Yes | "bf16"
"fp32"
"none" | The dtype to use for training. 'none' preserves the model's native compute dtype instead of overriding it. For fp16 models, GradScaler is automatically enabled (default: "bf16"). | -| `lora_dtype` | COMBO | Yes | "bf16"
"fp32" | The dtype to use for lora (default: "bf16"). | -| `quantized_backward` | BOOLEAN | Yes | - | When using training_dtype 'none' and training on quantized model, doing backward with quantized matmul when enabled (default: False). | -| `algorithm` | COMBO | Yes | Multiple options available | The algorithm to use for training. | -| `gradient_checkpointing` | BOOLEAN | Yes | - | Use gradient checkpointing for training (default: True). | -| `checkpoint_depth` | INT | Yes | 1-5 | Depth level for gradient checkpointing (default: 1). | -| `offloading` | BOOLEAN | Yes | - | Offload model weights to CPU during training to save GPU memory (default: False). | -| `existing_lora` | COMBO | Yes | Multiple options available | The existing LoRA to append to. Set to None for new LoRA (default: "[None]"). | -| `bucket_mode` | BOOLEAN | Yes | - | Enable resolution bucket mode. When enabled, expects pre-bucketed latents from ResolutionBucket node (default: False). | -| `bypass_mode` | BOOLEAN | Yes | - | Enable bypass mode for training. When enabled, adapters are applied via forward hooks instead of weight modification. Useful for quantized models where weights cannot be directly modified (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to train the LoRA on. | MODEL | Yes | - | +| `latents` | The Latents to use for training, serve as dataset/input of the model. | LATENT | Yes | - | +| `positive` | The positive conditioning to use for training. | CONDITIONING | Yes | - | +| `batch_size` | The batch size to use for training (default: 1). | INT | Yes | 1-10000 | +| `grad_accumulation_steps` | The number of gradient accumulation steps to use for training (default: 1). | INT | Yes | 1-1024 | +| `steps` | The number of steps to train the LoRA for (default: 16). | INT | Yes | 1-100000 | +| `learning_rate` | The learning rate to use for training (default: 0.0005). | FLOAT | Yes | 0.0000001-1.0 | +| `rank` | The rank of the LoRA layers (default: 8). | INT | Yes | 1-128 | +| `optimizer` | The optimizer to use for training (default: "AdamW"). | COMBO | Yes | "AdamW"
"Adam"
"SGD"
"RMSprop" | +| `loss_function` | The loss function to use for training (default: "MSE"). | COMBO | Yes | "MSE"
"L1"
"Huber"
"SmoothL1" | +| `seed` | The seed to use for training (used in generator for LoRA weight initialization and noise sampling) (default: 0). | INT | Yes | 0-18446744073709551615 | +| `training_dtype` | The dtype to use for training. 'none' preserves the model's native compute dtype instead of overriding it. For fp16 models, GradScaler is automatically enabled (default: "bf16"). | COMBO | Yes | "bf16"
"fp32"
"none" | +| `lora_dtype` | The dtype to use for lora (default: "bf16"). | COMBO | Yes | "bf16"
"fp32" | +| `quantized_backward` | When using training_dtype 'none' and training on quantized model, doing backward with quantized matmul when enabled (default: False). | BOOLEAN | Yes | - | +| `algorithm` | The algorithm to use for training. | COMBO | Yes | Multiple options available | +| `gradient_checkpointing` | Use gradient checkpointing for training (default: True). | BOOLEAN | Yes | - | +| `checkpoint_depth` | Depth level for gradient checkpointing (default: 1). | INT | Yes | 1-5 | +| `offloading` | Offload model weights to CPU during training to save GPU memory (default: False). | BOOLEAN | Yes | - | +| `existing_lora` | The existing LoRA to append to. Set to None for new LoRA (default: "[None]"). | COMBO | Yes | Multiple options available | +| `bucket_mode` | Enable resolution bucket mode. When enabled, expects pre-bucketed latents from ResolutionBucket node (default: False). | BOOLEAN | Yes | - | +| `bypass_mode` | Enable bypass mode for training. When enabled, adapters are applied via forward hooks instead of weight modification. Useful for quantized models where weights cannot be directly modified (default: False). | BOOLEAN | Yes | - | **Note:** The number of positive conditioning inputs must match the number of latent images. If only one positive conditioning is provided with multiple images, it will be automatically repeated for all images. @@ -45,11 +43,13 @@ The TrainLoraNode creates and trains a LoRA (Low-Rank Adaptation) model on a dif ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `lora` | LORA_MODEL | The trained LoRA weights that can be saved or applied to other models. | -| `loss_map` | LOSS_MAP | A dictionary containing the training loss values over time. | -| `steps` | INT | The total number of training steps completed (including any previous steps from existing LoRA). | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `lora` | The trained LoRA weights that can be saved or applied to other models. | LORA_MODEL | +| `loss_map` | A dictionary containing the training loss values over time. | LOSS_MAP | +| `steps` | The total number of training steps completed (including any previous steps from existing LoRA). | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrainLoraNode/en.md) --- **Source fingerprint (SHA-256):** `e145145306330099293c8b4bb344ec0a38de690040bd796b84225f54638900c3` diff --git a/built-in-nodes/TransformSplat.mdx b/built-in-nodes/TransformSplat.mdx new file mode 100644 index 000000000..8144213db --- /dev/null +++ b/built-in-nodes/TransformSplat.mdx @@ -0,0 +1,36 @@ +--- +title: "TransformSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TransformSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TransformSplat" +icon: "circle" +mode: wide +--- +# Transform Splat + +The Transform Splat node applies translation, rotation, and scaling transformations to a gaussian splat. It moves, rotates, and resizes the entire splat as a single object, and when non-uniform scaling is applied, it also reshapes each individual gaussian splat for accurate results. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `splat` | The gaussian splat to transform | SPLAT | Yes | - | +| `translate_x` | Translation along the X axis (default: 0.0) | FLOAT | Yes | -100.0 to 100.0 | +| `translate_y` | Translation along the Y axis (default: 0.0) | FLOAT | Yes | -100.0 to 100.0 | +| `translate_z` | Translation along the Z axis (default: 0.0) | FLOAT | Yes | -100.0 to 100.0 | +| `rotate_x` | Rotation around the X axis in degrees (default: 0.0) | FLOAT | Yes | -360.0 to 360.0 | +| `rotate_y` | Rotation around the Y axis in degrees (default: 0.0) | FLOAT | Yes | -360.0 to 360.0 | +| `rotate_z` | Rotation around the Z axis in degrees (default: 0.0) | FLOAT | Yes | -360.0 to 360.0 | +| `scale_x` | Scale factor along the X axis (default: 1.0) | FLOAT | Yes | 0.01 to 100.0 | +| `scale_y` | Scale factor along the Y axis (default: 1.0) | FLOAT | Yes | 0.01 to 100.0 | +| `scale_z` | Scale factor along the Z axis (default: 1.0) | FLOAT | Yes | 0.01 to 100.0 | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `splat` | The transformed gaussian splat with updated positions, scales, and rotations | SPLAT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TransformSplat/en.md) + +--- +**Source fingerprint (SHA-256):** `19e6a7da7b4f0d8c9674ead2d35d742df460576b01c4ab4108dd59a2d08dfcb0` diff --git a/built-in-nodes/TrimAudioDuration.mdx b/built-in-nodes/TrimAudioDuration.mdx index 09044af9a..be42edf8b 100644 --- a/built-in-nodes/TrimAudioDuration.mdx +++ b/built-in-nodes/TrimAudioDuration.mdx @@ -5,25 +5,25 @@ sidebarTitle: "TrimAudioDuration" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimAudioDuration/en.md) - The TrimAudioDuration node allows you to cut a specific time segment from an audio file. You can specify when to start the trim and how long the resulting audio clip should be. The node works by converting time values to audio frame positions and extracting the corresponding portion of the audio waveform. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | - | The audio input to be trimmed | -| `start_index` | FLOAT | Yes | -0xffffffffffffffff to 0xffffffffffffffff | Start time in seconds, can be negative to count from the end (supports sub-seconds). Default: 0.0 | -| `duration` | FLOAT | Yes | 0.0 to 0xffffffffffffffff | Duration in seconds. Default: 60.0 | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | The audio input to be trimmed | AUDIO | Yes | - | +| `start_index` | Start time in seconds, can be negative to count from the end (supports sub-seconds). Default: 0.0 | FLOAT | Yes | -0xffffffffffffffff to 0xffffffffffffffff | +| `duration` | Duration in seconds. Default: 60.0 | FLOAT | Yes | 0.0 to 0xffffffffffffffff | **Note:** The start time must be less than the end time and within the audio length. Negative start values count backwards from the end of the audio. If the start time is negative, it is converted to a frame position counting from the end of the audio. The start and end frames are clamped to the audio boundaries. If the start time equals or exceeds the end time, the node will raise an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio` | AUDIO | The trimmed audio segment with the specified start time and duration | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio` | The trimmed audio segment with the specified start time and duration | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimAudioDuration/en.md) --- **Source fingerprint (SHA-256):** `4f8c9f966fec8c1d1a1a2bb531014fe7460d61abbafdc367adb667a5044752ef` diff --git a/built-in-nodes/TrimVideoLatent.mdx b/built-in-nodes/TrimVideoLatent.mdx index a01a16ffd..01e8dadc0 100644 --- a/built-in-nodes/TrimVideoLatent.mdx +++ b/built-in-nodes/TrimVideoLatent.mdx @@ -5,22 +5,22 @@ sidebarTitle: "TrimVideoLatent" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimVideoLatent/en.md) - The TrimVideoLatent node removes frames from the beginning of a video latent representation. It takes a latent video sample and trims off a specified number of frames from the start, returning the remaining portion of the video. This allows you to shorten video sequences by removing the initial frames. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | Yes | - | The input latent video representation containing the video frames to be trimmed | -| `trim_amount` | INT | Yes | 0 to 99999 | The number of frames to remove from the beginning of the video (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `samples` | The input latent video representation containing the video frames to be trimmed | LATENT | Yes | - | +| `trim_amount` | The number of frames to remove from the beginning of the video (default: 0) | INT | Yes | 0 to 99999 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | LATENT | The trimmed latent video representation with the specified number of frames removed from the beginning | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The trimmed latent video representation with the specified number of frames removed from the beginning | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimVideoLatent/en.md) --- **Source fingerprint (SHA-256):** `176aa42bb489ff6326057c79ff4dcd27543b96d3212e30af77eeeccd77d3926b` diff --git a/built-in-nodes/TripleCLIPLoader.mdx b/built-in-nodes/TripleCLIPLoader.mdx index 30bf62dbf..dc6f485bd 100644 --- a/built-in-nodes/TripleCLIPLoader.mdx +++ b/built-in-nodes/TripleCLIPLoader.mdx @@ -5,25 +5,25 @@ sidebarTitle: "TripleCLIPLoader" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripleCLIPLoader/en.md) - The TripleCLIPLoader node loads three different text encoder models simultaneously and combines them into a single CLIP model. This is useful for advanced text encoding scenarios where multiple text encoders are needed, such as in SD3 workflows that require clip-l, clip-g, and t5 models working together. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `clip_name1` | STRING | Yes | Multiple options available | The first text encoder model to load from the available text encoders | -| `clip_name2` | STRING | Yes | Multiple options available | The second text encoder model to load from the available text encoders | -| `clip_name3` | STRING | Yes | Multiple options available | The third text encoder model to load from the available text encoders | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `clip_name1` | The first text encoder model to load from the available text encoders | STRING | Yes | Multiple options available | +| `clip_name2` | The second text encoder model to load from the available text encoders | STRING | Yes | Multiple options available | +| `clip_name3` | The third text encoder model to load from the available text encoders | STRING | Yes | Multiple options available | **Note:** All three text encoder parameters must be selected from the available text encoder models in your system. The node will load all three models and combine them into a single CLIP model for processing. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `CLIP` | CLIP | A combined CLIP model containing all three loaded text encoders | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `CLIP` | A combined CLIP model containing all three loaded text encoders | CLIP | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripleCLIPLoader/en.md) --- **Source fingerprint (SHA-256):** `565ab519e46b9661705768b14f565f297002f4e6fe95c7725c4f742734e8d1c1` diff --git a/built-in-nodes/TripoConversionNode.mdx b/built-in-nodes/TripoConversionNode.mdx index b1372f663..6dcf89215 100644 --- a/built-in-nodes/TripoConversionNode.mdx +++ b/built-in-nodes/TripoConversionNode.mdx @@ -5,41 +5,41 @@ sidebarTitle: "TripoConversionNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoConversionNode/en.md) - The TripoConversionNode converts 3D models between different file formats using the Tripo API. It takes a task ID from a previous Tripo operation (model generation, rigging, or retargeting) and converts the resulting model to your desired format with various export options. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `original_model_task_id` | MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID | Yes | MODEL_TASK_ID
RIG_TASK_ID
RETARGET_TASK_ID | The task ID from a previous Tripo operation (model generation, rigging, or retargeting) | -| `format` | COMBO | Yes | GLTF
USDZ
FBX
OBJ
STL
3MF | The target file format for the converted 3D model | -| `quad` | BOOLEAN | No | True/False | Whether to convert triangles to quads (default: False) | -| `face_limit` | INT | No | -1 to 2000000 | Maximum number of faces in the output model, use -1 for no limit (default: -1) | -| `texture_size` | INT | No | 128 to 4096 | Size of output textures in pixels (default: 4096) | -| `texture_format` | COMBO | No | BMP
DPX
HDR
JPEG
OPEN_EXR
PNG
TARGA
TIFF
WEBP | Format for exported textures (default: JPEG) | -| `force_symmetry` | BOOLEAN | No | True/False | Whether to force symmetry on the model (default: False) | -| `flatten_bottom` | BOOLEAN | No | True/False | Whether to flatten the bottom of the model (default: False) | -| `flatten_bottom_threshold` | FLOAT | No | 0.0 to 1.0 | Threshold for bottom flattening (default: 0.0) | -| `pivot_to_center_bottom` | BOOLEAN | No | True/False | Whether to move the pivot point to the center bottom of the model (default: False) | -| `scale_factor` | FLOAT | No | 0.0 and above | Scale factor to apply to the model (default: 1.0) | -| `with_animation` | BOOLEAN | No | True/False | Whether to include animation data in the export (default: False) | -| `pack_uv` | BOOLEAN | No | True/False | Whether to pack UV coordinates (default: False) | -| `bake` | BOOLEAN | No | True/False | Whether to bake textures (default: False) | -| `part_names` | STRING | No | Comma-separated list | Comma-separated list of part names to include in the export (default: "") | -| `fbx_preset` | COMBO | No | blender
mixamo
3dsmax | FBX export preset to use (default: blender) | -| `export_vertex_colors` | BOOLEAN | No | True/False | Whether to export vertex colors (default: False) | -| `export_orientation` | COMBO | No | align_image
default | Export orientation mode (default: default) | -| `animate_in_place` | BOOLEAN | No | True/False | Whether to animate the model in place (default: False) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `original_model_task_id` | The task ID from a previous Tripo operation (model generation, rigging, or retargeting) | MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID | Yes | MODEL_TASK_ID
RIG_TASK_ID
RETARGET_TASK_ID | +| `format` | The target file format for the converted 3D model | COMBO | Yes | GLTF
USDZ
FBX
OBJ
STL
3MF | +| `quad` | Whether to convert triangles to quads (default: False) | BOOLEAN | No | True/False | +| `face_limit` | Maximum number of faces in the output model, use -1 for no limit (default: -1) | INT | No | -1 to 2000000 | +| `texture_size` | Size of output textures in pixels (default: 4096) | INT | No | 128 to 4096 | +| `texture_format` | Format for exported textures (default: JPEG) | COMBO | No | BMP
DPX
HDR
JPEG
OPEN_EXR
PNG
TARGA
TIFF
WEBP | +| `force_symmetry` | Whether to force symmetry on the model (default: False) | BOOLEAN | No | True/False | +| `flatten_bottom` | Whether to flatten the bottom of the model (default: False) | BOOLEAN | No | True/False | +| `flatten_bottom_threshold` | Threshold for bottom flattening (default: 0.0) | FLOAT | No | 0.0 to 1.0 | +| `pivot_to_center_bottom` | Whether to move the pivot point to the center bottom of the model (default: False) | BOOLEAN | No | True/False | +| `scale_factor` | Scale factor to apply to the model (default: 1.0) | FLOAT | No | 0.0 and above | +| `with_animation` | Whether to include animation data in the export (default: False) | BOOLEAN | No | True/False | +| `pack_uv` | Whether to pack UV coordinates (default: False) | BOOLEAN | No | True/False | +| `bake` | Whether to bake textures (default: False) | BOOLEAN | No | True/False | +| `part_names` | Comma-separated list of part names to include in the export (default: "") | STRING | No | Comma-separated list | +| `fbx_preset` | FBX export preset to use (default: blender) | COMBO | No | blender
mixamo
3dsmax | +| `export_vertex_colors` | Whether to export vertex colors (default: False) | BOOLEAN | No | True/False | +| `export_orientation` | Export orientation mode (default: default) | COMBO | No | align_image
default | +| `animate_in_place` | Whether to animate the model in place (default: False) | BOOLEAN | No | True/False | **Note:** The `original_model_task_id` must be a valid task ID from a previous Tripo operation (model generation, rigging, or retargeting). Parameters marked as "advanced" are optional and only need to be configured for specific export requirements. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| *No named outputs* | - | This node processes the conversion asynchronously and returns the result through the Tripo API system | +| Output Name | Description | Data Type | +| --- | --- | --- | +| *No named outputs* | This node processes the conversion asynchronously and returns the result through the Tripo API system | - | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoConversionNode/en.md) --- **Source fingerprint (SHA-256):** `7542fd7ee2307b06e5caa78ce427140fbcb56e8ea383ce327828040330ea1b01` diff --git a/built-in-nodes/TripoImageToModelNode.mdx b/built-in-nodes/TripoImageToModelNode.mdx index a5866dffa..3bb33e3b4 100644 --- a/built-in-nodes/TripoImageToModelNode.mdx +++ b/built-in-nodes/TripoImageToModelNode.mdx @@ -5,37 +5,37 @@ sidebarTitle: "TripoImageToModelNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoImageToModelNode/en.md) - Generates 3D models synchronously based on a single image using Tripo's API. This node takes an input image and converts it into a 3D model with various customization options for texture, quality, and model properties. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | Input image used to generate the 3D model | -| `model_version` | COMBO | No | `"v1.4"`
`"v3.0"`
`"v3.5"`
`"v3.6"` | The model version to use for generation | -| `style` | COMBO | No | `"None"`
`"realistic"`
`"cartoon"`
`"sculpture"`
`"low_poly"` | Style setting for the generated model (default: "None") | -| `texture` | BOOLEAN | No | - | Whether to generate textures for the model (default: True) | -| `pbr` | BOOLEAN | No | - | Whether to use Physically Based Rendering (default: True) | -| `model_seed` | INT | No | - | Random seed for model generation (default: 42) | -| `orientation` | COMBO | No | `"default"`
`"front"`
`"back"`
`"left"`
`"right"`
`"top"`
`"bottom"` | Orientation setting for the generated model (default: "default") | -| `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) | -| `texture_quality` | COMBO | No | `"standard"`
`"detailed"` | Quality level for texture generation (default: "standard") | -| `texture_alignment` | COMBO | No | `"original_image"`
`"geometry"` | Alignment method for texture mapping (default: "original_image") | -| `face_limit` | INT | No | -1 to 500000 | Maximum number of faces in the generated model, -1 for no limit (default: -1) | -| `quad` | BOOLEAN | No | - | Whether to use quadrilateral faces instead of triangles (default: False) | -| `geometry_quality` | COMBO | No | `"standard"`
`"detailed"` | Quality level for geometry generation (default: "standard") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | Input image used to generate the 3D model | IMAGE | Yes | - | +| `model_version` | The model version to use for generation | COMBO | No | `"v1.4"`
`"v3.0"`
`"v3.5"`
`"v3.6"` | +| `style` | Style setting for the generated model (default: "None") | COMBO | No | `"None"`
`"realistic"`
`"cartoon"`
`"sculpture"`
`"low_poly"` | +| `texture` | Whether to generate textures for the model (default: True) | BOOLEAN | No | - | +| `pbr` | Whether to use Physically Based Rendering (default: True) | BOOLEAN | No | - | +| `model_seed` | Random seed for model generation (default: 42) | INT | No | - | +| `orientation` | Orientation setting for the generated model (default: "default") | COMBO | No | `"default"`
`"front"`
`"back"`
`"left"`
`"right"`
`"top"`
`"bottom"` | +| `texture_seed` | Random seed for texture generation (default: 42) | INT | No | - | +| `texture_quality` | Quality level for texture generation (default: "standard") | COMBO | No | `"standard"`
`"detailed"` | +| `texture_alignment` | Alignment method for texture mapping (default: "original_image") | COMBO | No | `"original_image"`
`"geometry"` | +| `face_limit` | Maximum number of faces in the generated model, -1 for no limit (default: -1) | INT | No | -1 to 500000 | +| `quad` | Whether to use quadrilateral faces instead of triangles (default: False) | BOOLEAN | No | - | +| `geometry_quality` | Quality level for geometry generation (default: "standard") | COMBO | No | `"standard"`
`"detailed"` | **Note:** The `image` parameter is required and must be provided for the node to function. If no image is provided, the node will raise a RuntimeError. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | The generated 3D model file (for backward compatibility only) | -| `model task_id` | MODEL_TASK_ID | The task ID for tracking the model generation process | -| `GLB` | FILE3DGLB | The generated 3D model in GLB format | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The generated 3D model file (for backward compatibility only) | STRING | +| `model task_id` | The task ID for tracking the model generation process | MODEL_TASK_ID | +| `GLB` | The generated 3D model in GLB format | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoImageToModelNode/en.md) --- **Source fingerprint (SHA-256):** `f12bae7cc766b7ac208243a10970da7719a13d6283d6b6c39444b577cafc7f04` diff --git a/built-in-nodes/TripoMultiviewToModelNode.mdx b/built-in-nodes/TripoMultiviewToModelNode.mdx index d08446c2d..b69b744d6 100644 --- a/built-in-nodes/TripoMultiviewToModelNode.mdx +++ b/built-in-nodes/TripoMultiviewToModelNode.mdx @@ -5,39 +5,39 @@ sidebarTitle: "TripoMultiviewToModelNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/en.md) - This node generates 3D models synchronously using Tripo's API by processing up to four images showing different views of an object. It requires a front image and at least one additional view (left, back, or right) to create a complete 3D model with texture and material options. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | Front view image of the object (required) | -| `image_left` | IMAGE | No | - | Left view image of the object | -| `image_back` | IMAGE | No | - | Back view image of the object | -| `image_right` | IMAGE | No | - | Right view image of the object | -| `model_version` | COMBO | No | Multiple options available | The model version to use for generation | -| `orientation` | COMBO | No | Multiple options available | Orientation setting for the 3D model (default: "default") | -| `texture` | BOOLEAN | No | - | Whether to generate textures for the model (default: True) | -| `pbr` | BOOLEAN | No | - | Whether to generate PBR (Physically Based Rendering) materials (default: True) | -| `model_seed` | INT | No | - | Random seed for model generation (default: 42) | -| `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) | -| `texture_quality` | COMBO | No | `"standard"`
`"detailed"` | Quality level for texture generation (default: "standard") | -| `texture_alignment` | COMBO | No | `"original_image"`
`"geometry"` | Method for aligning textures to the model (default: "original_image") | -| `face_limit` | INT | No | -1 to 500000 | Maximum number of faces in the generated model. Set to -1 for no limit (default: -1) | -| `quad` | BOOLEAN | No | - | This parameter is deprecated and does nothing (default: False) | -| `geometry_quality` | COMBO | No | `"standard"`
`"detailed"` | Quality level for geometry generation (default: "standard") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | Front view image of the object (required) | IMAGE | Yes | - | +| `image_left` | Left view image of the object | IMAGE | No | - | +| `image_back` | Back view image of the object | IMAGE | No | - | +| `image_right` | Right view image of the object | IMAGE | No | - | +| `model_version` | The model version to use for generation | COMBO | No | Multiple options available | +| `orientation` | Orientation setting for the 3D model (default: "default") | COMBO | No | Multiple options available | +| `texture` | Whether to generate textures for the model (default: True) | BOOLEAN | No | - | +| `pbr` | Whether to generate PBR (Physically Based Rendering) materials (default: True) | BOOLEAN | No | - | +| `model_seed` | Random seed for model generation (default: 42) | INT | No | - | +| `texture_seed` | Random seed for texture generation (default: 42) | INT | No | - | +| `texture_quality` | Quality level for texture generation (default: "standard") | COMBO | No | `"standard"`
`"detailed"` | +| `texture_alignment` | Method for aligning textures to the model (default: "original_image") | COMBO | No | `"original_image"`
`"geometry"` | +| `face_limit` | Maximum number of faces in the generated model. Set to -1 for no limit (default: -1) | INT | No | -1 to 500000 | +| `quad` | This parameter is deprecated and does nothing (default: False) | BOOLEAN | No | - | +| `geometry_quality` | Quality level for geometry generation (default: "standard") | COMBO | No | `"standard"`
`"detailed"` | **Note:** The front image (`image`) is always required. At least one additional view image (`image_left`, `image_back`, or `image_right`) must be provided for multiview processing. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | File path or identifier for the generated 3D model (for backward compatibility only) | -| `model task_id` | MODEL_TASK_ID | Task identifier for tracking the model generation process | -| `GLB` | FILE3DGLB | The generated 3D model file in GLB format | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | File path or identifier for the generated 3D model (for backward compatibility only) | STRING | +| `model task_id` | Task identifier for tracking the model generation process | MODEL_TASK_ID | +| `GLB` | The generated 3D model file in GLB format | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/en.md) --- **Source fingerprint (SHA-256):** `f44a39bd15dfd6111be191de81490136280491930ec0aa7159849f137479b089` diff --git a/built-in-nodes/TripoP1ImageToModelNode.mdx b/built-in-nodes/TripoP1ImageToModelNode.mdx index 5c70e9b9c..931527e70 100644 --- a/built-in-nodes/TripoP1ImageToModelNode.mdx +++ b/built-in-nodes/TripoP1ImageToModelNode.mdx @@ -5,32 +5,32 @@ sidebarTitle: "TripoP1ImageToModelNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1ImageToModelNode/en.md) - ## Overview This node converts a single 2D image into a 3D model using the Tripo P1 API. It is optimized for generating low-polygon, game-ready meshes. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to convert to a 3D model. | -| `output_mode` | DICT | Yes | See description | A dictionary specifying the output mode and quality settings. This parameter controls the type of model generated and its texture quality. The available options are defined by the `_build_p1_output_mode` helper function and include settings for `texture_quality` (e.g., "standard", "high", "ultra") and `image_alignment`. | -| `enable_image_autofix` | BOOLEAN | No | True
False | Pre-process the input image for better generation quality. (default: False) | -| `face_limit` | INT | No | - | Limits the number of faces in the generated mesh. A value of -1 means no limit. (default: -1) | -| `model_seed` | INT | No | - | A seed value for reproducible model generation. If not provided, a random seed is used. (default: None) | -| `auto_size` | BOOLEAN | No | True
False | Automatically determine the optimal size for the generated model. (default: False) | -| `export_uv` | BOOLEAN | No | True
False | Export UV coordinates with the model. (default: True) | -| `compress_geometry` | BOOLEAN | No | True
False | Compress the geometry data to reduce file size. (default: False) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The input image to convert to a 3D model. | IMAGE | Yes | - | +| `output_mode` | A dictionary specifying the output mode and quality settings. This parameter controls the type of model generated and its texture quality. The available options are defined by the `_build_p1_output_mode` helper function and include settings for `texture_quality` (e.g., "standard", "high", "ultra") and `image_alignment`. | DICT | Yes | See description | +| `enable_image_autofix` | Pre-process the input image for better generation quality. (default: False) | BOOLEAN | No | True
False | +| `face_limit` | Limits the number of faces in the generated mesh. A value of -1 means no limit. (default: -1) | INT | No | - | +| `model_seed` | A seed value for reproducible model generation. If not provided, a random seed is used. (default: None) | INT | No | - | +| `auto_size` | Automatically determine the optimal size for the generated model. (default: False) | BOOLEAN | No | True
False | +| `export_uv` | Export UV coordinates with the model. (default: True) | BOOLEAN | No | True
False | +| `compress_geometry` | Compress the geometry data to reduce file size. (default: False) | BOOLEAN | No | True
False | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | The file path to the generated 3D model. This output is provided for backward compatibility only. | -| `model task_id` | MODEL_TASK_ID | The unique task ID for the model generation request. | -| `GLB` | FILE3DGLB | The generated 3D model in GLB format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The file path to the generated 3D model. This output is provided for backward compatibility only. | STRING | +| `model task_id` | The unique task ID for the model generation request. | MODEL_TASK_ID | +| `GLB` | The generated 3D model in GLB format. | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1ImageToModelNode/en.md) --- **Source fingerprint (SHA-256):** `2ac611603dd6eb88700a8105c19f97a8c4eefe5f4efb23d8854ccc27af590626` diff --git a/built-in-nodes/TripoP1MultiviewToModelNode.mdx b/built-in-nodes/TripoP1MultiviewToModelNode.mdx index 275f5e695..3fd5f63e1 100644 --- a/built-in-nodes/TripoP1MultiviewToModelNode.mdx +++ b/built-in-nodes/TripoP1MultiviewToModelNode.mdx @@ -5,36 +5,36 @@ sidebarTitle: "TripoP1MultiviewToModelNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1MultiviewToModelNode/en.md) - ## Overview This node generates a 3D model from 2 to 4 reference images of an object or character. You provide images from different angles (front, left, back, right), and the node creates a 3D mesh in GLB format. The front view is required, and you can optionally add any combination of the other three views for better results. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | Front view (0°). Required. | -| `image_left` | IMAGE | No | - | Left view (90°), i.e. the subject's left side. | -| `image_back` | IMAGE | No | - | Back view (180°). | -| `image_right` | IMAGE | No | - | Right view (270°), i.e. the subject's right side. | -| `output_mode` | COMBO | Yes | `"geometry"`
`"textured"`
`"detailed"` | The output mode for the generated model. `"geometry"` produces a raw mesh, `"textured"` adds a standard texture, and `"detailed"` creates a high-detail textured model (default: `"textured"`). | -| `face_limit` | INT | No | -1 to 100000 | Maximum number of faces for the output mesh. Set to -1 for no limit (default: -1). | -| `model_seed` | INT | No | 0 to 2147483647 | Seed for reproducible model generation. Set to 0 for random (default: 0). | -| `auto_size` | BOOLEAN | No | True / False | Automatically size the model to fit within a standard bounding box (default: False). | -| `export_uv` | BOOLEAN | No | True / False | Export UV coordinates with the model (default: True). | -| `compress_geometry` | BOOLEAN | No | True / False | Compress the geometry data to reduce file size (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | Front view (0°). Required. | IMAGE | Yes | - | +| `image_left` | Left view (90°), i.e. the subject's left side. | IMAGE | No | - | +| `image_back` | Back view (180°). | IMAGE | No | - | +| `image_right` | Right view (270°), i.e. the subject's right side. | IMAGE | No | - | +| `output_mode` | The output mode for the generated model. `"geometry"` produces a raw mesh, `"textured"` adds a standard texture, and `"detailed"` creates a high-detail textured model (default: `"textured"`). | COMBO | Yes | `"geometry"`
`"textured"`
`"detailed"` | +| `face_limit` | Maximum number of faces for the output mesh. Set to -1 for no limit (default: -1). | INT | No | -1 to 100000 | +| `model_seed` | Seed for reproducible model generation. Set to 0 for random (default: 0). | INT | No | 0 to 2147483647 | +| `auto_size` | Automatically size the model to fit within a standard bounding box (default: False). | BOOLEAN | No | True / False | +| `export_uv` | Export UV coordinates with the model (default: True). | BOOLEAN | No | True / False | +| `compress_geometry` | Compress the geometry data to reduce file size (default: False). | BOOLEAN | No | True / False | **Note:** You must provide at least 2 images: the front view (`image`) plus at least one of the other views (`image_left`, `image_back`, or `image_right`). If fewer than 2 images are provided, the node will raise an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | The filename of the generated GLB model (for backward compatibility only). | -| `model_task_id` | MODEL_TASK_ID | The unique task ID for this model generation request. | -| `GLB` | FILE3DGLB | The generated 3D model in GLB format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The filename of the generated GLB model (for backward compatibility only). | STRING | +| `model_task_id` | The unique task ID for this model generation request. | MODEL_TASK_ID | +| `GLB` | The generated 3D model in GLB format. | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1MultiviewToModelNode/en.md) --- **Source fingerprint (SHA-256):** `29bb87cdc5d3eef891a653c622e8876a37d6e6dc1a43e5c248b184060ead9029` diff --git a/built-in-nodes/TripoP1TextToModelNode.mdx b/built-in-nodes/TripoP1TextToModelNode.mdx index 793680958..dc42705aa 100644 --- a/built-in-nodes/TripoP1TextToModelNode.mdx +++ b/built-in-nodes/TripoP1TextToModelNode.mdx @@ -5,33 +5,33 @@ sidebarTitle: "TripoP1TextToModelNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1TextToModelNode/en.md) - ## Overview This node generates a 3D model from a text description using the Tripo P1 API. It is optimized for creating low-poly, game-ready meshes with stable topology, making it suitable for real-time applications. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | Up to 1024 characters | The text description of the 3D model you want to generate. | -| `negative_prompt` | STRING | No | Up to 255 characters | A text description of what you do not want in the generated model. | -| `output_mode` | DICT | Yes | See description | Controls the output model's quality and texture settings. This parameter is a dictionary with the following keys:

`texture_quality`: STRING, Range: `"standard"`
`pbr`: BOOLEAN, default: True
`texture`: BOOLEAN, default: True
`subdivision`: INT, default: 0, Range: 0 to 2
`texture_size`: INT, default: 2048, Range: 512 to 4096 (must be a power of 2)
`texture_format`: STRING, Range: `"png"`
`texture_clean`: BOOLEAN, default: False
`texture_seamless`: BOOLEAN, default: False

Default: `{"texture_quality": "standard", "pbr": True, "texture": True, "subdivision": 0, "texture_size": 2048, "texture_format": "png", "texture_clean": False, "texture_seamless": False}` | -| `image_seed` | INT | No | | A seed value for image generation, used to control randomness. Default: 42. | -| `face_limit` | INT | No | | The maximum number of faces for the generated mesh. A value of -1 means no limit. Default: -1. | -| `model_seed` | INT | No | | A seed value for model generation, used to control randomness. | -| `auto_size` | BOOLEAN | No | | If enabled, the node will automatically determine the optimal model size. Default: False. | -| `export_uv` | BOOLEAN | No | | If enabled, the model will include UV coordinates for texture mapping. Default: True. | -| `compress_geometry` | BOOLEAN | No | | If enabled, the geometry will be compressed to reduce file size. Default: False. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | The text description of the 3D model you want to generate. | STRING | Yes | Up to 1024 characters | +| `negative_prompt` | A text description of what you do not want in the generated model. | STRING | No | Up to 255 characters | +| `output_mode` | Controls the output model's quality and texture settings. This parameter is a dictionary with the following keys:

`texture_quality`: STRING, Range: `"standard"`
`pbr`: BOOLEAN, default: True
`texture`: BOOLEAN, default: True
`subdivision`: INT, default: 0, Range: 0 to 2
`texture_size`: INT, default: 2048, Range: 512 to 4096 (must be a power of 2)
`texture_format`: STRING, Range: `"png"`
`texture_clean`: BOOLEAN, default: False
`texture_seamless`: BOOLEAN, default: False

Default: `{"texture_quality": "standard", "pbr": True, "texture": True, "subdivision": 0, "texture_size": 2048, "texture_format": "png", "texture_clean": False, "texture_seamless": False}` | DICT | Yes | See description | +| `image_seed` | A seed value for image generation, used to control randomness. Default: 42. | INT | No | | +| `face_limit` | The maximum number of faces for the generated mesh. A value of -1 means no limit. Default: -1. | INT | No | | +| `model_seed` | A seed value for model generation, used to control randomness. | INT | No | | +| `auto_size` | If enabled, the node will automatically determine the optimal model size. Default: False. | BOOLEAN | No | | +| `export_uv` | If enabled, the model will include UV coordinates for texture mapping. Default: True. | BOOLEAN | No | | +| `compress_geometry` | If enabled, the geometry will be compressed to reduce file size. Default: False. | BOOLEAN | No | | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | The file path to the generated 3D model (for backward compatibility only). | -| `model task_id` | MODEL_TASK_ID | The unique task ID for the model generation request. | -| `GLB` | FILE3DGLB | The generated 3D model in GLB format. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The file path to the generated 3D model (for backward compatibility only). | STRING | +| `model task_id` | The unique task ID for the model generation request. | MODEL_TASK_ID | +| `GLB` | The generated 3D model in GLB format. | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1TextToModelNode/en.md) --- **Source fingerprint (SHA-256):** `154e75209d65c823d5681b74cd12fe7b2ed37d7b94bf51cac86f343c68f85722` diff --git a/built-in-nodes/TripoRefineNode.mdx b/built-in-nodes/TripoRefineNode.mdx index 0a48988f5..e83126d2f 100644 --- a/built-in-nodes/TripoRefineNode.mdx +++ b/built-in-nodes/TripoRefineNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "TripoRefineNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/en.md) - The TripoRefineNode refines draft 3D models created specifically by Tripo v1.4 models. It takes a model task ID and processes it through the Tripo API to generate an improved version of the model. This node is designed to work exclusively with draft models produced by Tripo v1.4 models. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_task_id` | MODEL_TASK_ID | Yes | - | Must be a v1.4 Tripo model | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_task_id` | Must be a v1.4 Tripo model | MODEL_TASK_ID | Yes | - | **Note:** This node only accepts draft models created by Tripo v1.4 models. Using models from other versions may result in errors. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | The file path or reference to the refined model (for backward compatibility only) | -| `model task_id` | MODEL_TASK_ID | The task identifier for the refined model operation | -| `GLB` | FILE3DGLB | The refined 3D model in GLB format | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The file path or reference to the refined model (for backward compatibility only) | STRING | +| `model task_id` | The task identifier for the refined model operation | MODEL_TASK_ID | +| `GLB` | The refined 3D model in GLB format | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/en.md) --- **Source fingerprint (SHA-256):** `bb4b17652fd05c489e6151f23461fa79ae090f3b59491775768b32ca2b61d33c` diff --git a/built-in-nodes/TripoRetargetNode.mdx b/built-in-nodes/TripoRetargetNode.mdx index 841a55f39..8e5dd8eb8 100644 --- a/built-in-nodes/TripoRetargetNode.mdx +++ b/built-in-nodes/TripoRetargetNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "TripoRetargetNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRetargetNode/en.md) - The TripoRetargetNode applies predefined animations to 3D character models by retargeting motion data. It takes a previously rigged 3D model and applies one of several preset animations, generating an animated 3D model file as output. The node communicates with the Tripo API to process the animation retargeting operation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `original_model_task_id` | RIG_TASK_ID | Yes | - | The task ID of the previously processed rigged 3D model to apply animation to | -| `animation` | STRING | Yes | "preset:idle"
"preset:walk"
"preset:run"
"preset:dive"
"preset:climb"
"preset:jump"
"preset:slash"
"preset:shoot"
"preset:hurt"
"preset:fall"
"preset:turn"
"preset:quadruped:walk"
"preset:hexapod:walk"
"preset:octopod:walk"
"preset:serpentine:march"
"preset:aquatic:march" | The animation preset to apply to the 3D model. Options include humanoid animations (idle, walk, run, dive, climb, jump, slash, shoot, hurt, fall, turn) and creature animations (quadruped walk, hexapod walk, octopod walk, serpentine march, aquatic march). | -| `auth_token_comfy_org` | AUTH_TOKEN_COMFY_ORG | No | - | Authentication token for Comfy.org API access (hidden parameter) | -| `api_key_comfy_org` | API_KEY_COMFY_ORG | No | - | API key for Comfy.org service access (hidden parameter) | -| `unique_id` | UNIQUE_ID | No | - | Unique identifier for tracking the operation (hidden parameter) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `original_model_task_id` | The task ID of the previously processed rigged 3D model to apply animation to | RIG_TASK_ID | Yes | - | +| `animation` | The animation preset to apply to the 3D model. Options include humanoid animations (idle, walk, run, dive, climb, jump, slash, shoot, hurt, fall, turn) and creature animations (quadruped walk, hexapod walk, octopod walk, serpentine march, aquatic march). | STRING | Yes | "preset:idle"
"preset:walk"
"preset:run"
"preset:dive"
"preset:climb"
"preset:jump"
"preset:slash"
"preset:shoot"
"preset:hurt"
"preset:fall"
"preset:turn"
"preset:quadruped:walk"
"preset:hexapod:walk"
"preset:octopod:walk"
"preset:serpentine:march"
"preset:aquatic:march" | +| `auth_token_comfy_org` | Authentication token for Comfy.org API access (hidden parameter) | AUTH_TOKEN_COMFY_ORG | No | - | +| `api_key_comfy_org` | API key for Comfy.org service access (hidden parameter) | API_KEY_COMFY_ORG | No | - | +| `unique_id` | Unique identifier for tracking the operation (hidden parameter) | UNIQUE_ID | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | The generated animated 3D model file (for backward compatibility only) | -| `retarget task_id` | RETARGET_TASK_ID | The task ID for tracking the retargeting operation | -| `GLB` | FILE3DGLB | The animated 3D model in GLB format | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The generated animated 3D model file (for backward compatibility only) | STRING | +| `retarget task_id` | The task ID for tracking the retargeting operation | RETARGET_TASK_ID | +| `GLB` | The animated 3D model in GLB format | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRetargetNode/en.md) --- **Source fingerprint (SHA-256):** `31d90c0a11a6a57fbc55f2c3b8e0e8e73943f048734e5f2d68711bf000730e0b` diff --git a/built-in-nodes/TripoRigNode.mdx b/built-in-nodes/TripoRigNode.mdx index d12358722..7c832dac9 100644 --- a/built-in-nodes/TripoRigNode.mdx +++ b/built-in-nodes/TripoRigNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "TripoRigNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRigNode/en.md) - The TripoRigNode generates a rigged 3D model from an original model task ID. It sends a request to the Tripo API to create an animated rig in GLB format using the Tripo specification, then polls the API until the rig generation task is complete. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `original_model_task_id` | MODEL_TASK_ID | Yes | - | The task ID of the original 3D model to be rigged | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `original_model_task_id` | The task ID of the original 3D model to be rigged | MODEL_TASK_ID | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | The generated rigged 3D model file (kept for backward compatibility) | -| `rig task_id` | RIG_TASK_ID | The task ID for tracking the rig generation process | -| `GLB` | FILE3DGLB | The generated rigged 3D model in GLB format | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The generated rigged 3D model file (kept for backward compatibility) | STRING | +| `rig task_id` | The task ID for tracking the rig generation process | RIG_TASK_ID | +| `GLB` | The generated rigged 3D model in GLB format | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRigNode/en.md) --- **Source fingerprint (SHA-256):** `c00053314112cf1a403d7bf1cf77dcb6cede6b4db83046d459069f2b57bb6de9` diff --git a/built-in-nodes/TripoSplatConditioning.mdx b/built-in-nodes/TripoSplatConditioning.mdx new file mode 100644 index 000000000..1321d9377 --- /dev/null +++ b/built-in-nodes/TripoSplatConditioning.mdx @@ -0,0 +1,31 @@ +--- +title: "TripoSplatConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoSplatConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoSplatConditioning" +icon: "circle" +mode: wide +--- +# TripoSplat Conditioning + +This node encodes an input image using DINOv3 and the Flux2 VAE to create positive and negative conditioning data for the TripoSplat model. It also generates a fixed-size noise target (latent plus camera data) that serves as the starting point for the KSampler. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `clip_vision` | DINOv3 ViT-H/16+ image encoder | CLIP_VISION | Yes | - | +| `vae` | Flux2 VAE | VAE | Yes | - | +| `image` | The input image to encode | IMAGE | Yes | - | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `positive` | Positive conditioning data containing DINOv3 features and Flux2 VAE latent | CONDITIONING | +| `negative` | Negative conditioning data containing zero-filled DINOv3 features and zero-filled Flux2 VAE latent | CONDITIONING | +| `latent` | The fixed size noise target (latent sequence plus camera token) for the KSampler | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoSplatConditioning/en.md) + +--- +**Source fingerprint (SHA-256):** `9187a4a020818b9adc762eb41e913086b59d62c47abe92d4bafdb14bc8779f51` diff --git a/built-in-nodes/TripoSplatPreprocessImage.mdx b/built-in-nodes/TripoSplatPreprocessImage.mdx new file mode 100644 index 000000000..19c144907 --- /dev/null +++ b/built-in-nodes/TripoSplatPreprocessImage.mdx @@ -0,0 +1,32 @@ +--- +title: "TripoSplatPreprocessImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoSplatPreprocessImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoSplatPreprocessImage" +icon: "circle" +mode: wide +--- +# TripoSplat Preprocess Image + +This node crops each input image to a centered square on a black background, then adds padding to reach the specified output size. It is designed to prepare images for the TripoSplat 3D model by ensuring consistent square framing and optional alpha matte erosion to prevent border artifacts. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `image` | The input image(s) to preprocess | IMAGE | Yes | - | +| `mask` | Alpha mask for the image, used to determine the crop region | MASK | Yes | - | +| `erode_radius` | Erode the alpha matte by this pixel radius before cropping (avoids border bleed). Default: 1 | INT | Yes | 0 to 16 | +| `size` | Square image size. The model is trained at 1024; other sizes run but are off-distribution. Default: 1024 | INT | Yes | 256 to 4096 (step of 16) | + +**Note:** The `mask` input is required and must be provided. If the mask has a different batch size than the image, it is automatically repeated to match. If the mask dimensions differ from the image dimensions, the mask is resized to match the image using bilinear interpolation. The output size is automatically rounded down to the nearest multiple of 16 to ensure compatibility with DINOv3 patch and Flux2 VAE stride requirements. + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `image` | The preprocessed image(s) cropped to a centered square on a black background with padding | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoSplatPreprocessImage/en.md) + +--- +**Source fingerprint (SHA-256):** `3f33dbc3a99ccb23ede767915a28fabdfa388edb8d5782edea3f8d03e5965b2a` diff --git a/built-in-nodes/TripoSplatSamplingPreview.mdx b/built-in-nodes/TripoSplatSamplingPreview.mdx new file mode 100644 index 000000000..e2a1f4507 --- /dev/null +++ b/built-in-nodes/TripoSplatSamplingPreview.mdx @@ -0,0 +1,33 @@ +--- +title: "TripoSplatSamplingPreview - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoSplatSamplingPreview node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoSplatSamplingPreview" +icon: "circle" +mode: wide +--- +# TripoSplat Sampling Preview + +This node patches a TripoSplat model so that when used with the standard KSampler node, a live preview of the decoded gaussian splat is shown at each sampling step. It works by wrapping the sampler's callback to decode the model's output into a preview image after every step. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `model` | The TripoSplat model to patch for live preview | MODEL | Yes | | +| `vae` | TripoSplat VAE decoder | VAE | Yes | | +| `octree_level` | Octree depth for the preview decode (lower = cheaper/coarser). Default: 5 | INT | No | 2 to 8 | +| `num_gaussians` | Number of gaussians to produce for the preview (rounded to a multiple of 32). Default: 16384 | INT | No | 1024 to 262144 (step: 32) | +| `yaw` | Preview camera yaw in degrees. Default: 90.0 | FLOAT | No | -360.0 to 360.0 (step: 1.0) | +| `pitch` | Preview camera pitch in degrees. Default: 15.0 | FLOAT | No | -89.0 to 89.0 (step: 1.0) | +| `point_size` | Maximum splat radius in pixels. Each gaussian is sized from its scale and capped here; lower = finer/pointier, higher = chunkier. Default: 3 | INT | No | 1 to 16 | + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `MODEL` | The patched TripoSplat model with live preview functionality added | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoSplatSamplingPreview/en.md) + +--- +**Source fingerprint (SHA-256):** `56d5eeb5255b42d90f8cffd50319791fe6ec755c6dad47478fe8cc2e9bb65dfb` diff --git a/built-in-nodes/TripoTextToModelNode.mdx b/built-in-nodes/TripoTextToModelNode.mdx index 36dfb35ef..366ddc991 100644 --- a/built-in-nodes/TripoTextToModelNode.mdx +++ b/built-in-nodes/TripoTextToModelNode.mdx @@ -5,37 +5,37 @@ sidebarTitle: "TripoTextToModelNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextToModelNode/en.md) - Generates 3D models synchronously based on a text prompt using Tripo's API. This node takes a text description and creates a 3D model with optional texture and material properties. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Text description for generating the 3D model (multiline input) | -| `negative_prompt` | STRING | No | - | Text description of what to avoid in the generated model (multiline input) | -| `model_version` | COMBO | No | `v1.4`
`v2.0`
`v2.5-20250123`
`v3.0` | The version of the Tripo model to use for generation (default: v2.5-20250123) | -| `style` | COMBO | No | `None`
`sculpture`
`low-poly`
`voxel`
`brick`
`clay`
`marble`
`origami`
`papercraft`
`pixel-art`
`tile`
`cartoon`
`fantasy`
`hand-drawn`
`illustration`
`isometric`
`pixel-art`
`sketch`
`stained-glass`
`steampunk`
`vector`
`watercolor` | Style setting for the generated model (default: "None") | -| `texture` | BOOLEAN | No | - | Whether to generate textures for the model (default: True) | -| `pbr` | BOOLEAN | No | - | Whether to generate PBR (Physically Based Rendering) materials (default: True) | -| `image_seed` | INT | No | - | Random seed for image generation (default: 42) | -| `model_seed` | INT | No | - | Random seed for model generation (default: 42) | -| `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) | -| `texture_quality` | COMBO | No | `standard`
`detailed` | Quality level for texture generation (default: "standard") | -| `face_limit` | INT | No | -1 to 2000000 | Maximum number of faces in the generated model, -1 for no limit (default: -1) | -| `quad` | BOOLEAN | No | - | Whether to generate quad-based geometry instead of triangles (default: False) | -| `geometry_quality` | COMBO | No | `standard`
`detailed` | Quality level for geometry generation (default: "standard") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text description for generating the 3D model (multiline input) | STRING | Yes | - | +| `negative_prompt` | Text description of what to avoid in the generated model (multiline input) | STRING | No | - | +| `model_version` | The version of the Tripo model to use for generation (default: v2.5-20250123) | COMBO | No | `v1.4`
`v2.0`
`v2.5-20250123`
`v3.0` | +| `style` | Style setting for the generated model (default: "None") | COMBO | No | `None`
`sculpture`
`low-poly`
`voxel`
`brick`
`clay`
`marble`
`origami`
`papercraft`
`pixel-art`
`tile`
`cartoon`
`fantasy`
`hand-drawn`
`illustration`
`isometric`
`pixel-art`
`sketch`
`stained-glass`
`steampunk`
`vector`
`watercolor` | +| `texture` | Whether to generate textures for the model (default: True) | BOOLEAN | No | - | +| `pbr` | Whether to generate PBR (Physically Based Rendering) materials (default: True) | BOOLEAN | No | - | +| `image_seed` | Random seed for image generation (default: 42) | INT | No | - | +| `model_seed` | Random seed for model generation (default: 42) | INT | No | - | +| `texture_seed` | Random seed for texture generation (default: 42) | INT | No | - | +| `texture_quality` | Quality level for texture generation (default: "standard") | COMBO | No | `standard`
`detailed` | +| `face_limit` | Maximum number of faces in the generated model, -1 for no limit (default: -1) | INT | No | -1 to 2000000 | +| `quad` | Whether to generate quad-based geometry instead of triangles (default: False) | BOOLEAN | No | - | +| `geometry_quality` | Quality level for geometry generation (default: "standard") | COMBO | No | `standard`
`detailed` | **Note:** The `prompt` parameter is required and cannot be empty. If no prompt is provided, the node will raise an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | The generated 3D model file (for backward compatibility only) | -| `model task_id` | MODEL_TASK_ID | The unique task identifier for the model generation process | -| `GLB` | FILE3DGLB | The generated 3D model in GLB format | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The generated 3D model file (for backward compatibility only) | STRING | +| `model task_id` | The unique task identifier for the model generation process | MODEL_TASK_ID | +| `GLB` | The generated 3D model in GLB format | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextToModelNode/en.md) --- **Source fingerprint (SHA-256):** `6cd6fefff0fbda14729b68383209eded6eb2e779ccf39dd2e03c0ddf04859372` diff --git a/built-in-nodes/TripoTextureNode.mdx b/built-in-nodes/TripoTextureNode.mdx index bc06a7901..7c6673e5e 100644 --- a/built-in-nodes/TripoTextureNode.mdx +++ b/built-in-nodes/TripoTextureNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "TripoTextureNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextureNode/en.md) - The TripoTextureNode generates textured 3D models using the Tripo API. It takes a model task ID and applies texture generation with various options including PBR materials, texture quality settings, and alignment methods. The node communicates with the Tripo API to process the texture generation request and returns the resulting model file and task ID. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model_task_id` | MODEL_TASK_ID | Yes | - | The task ID of the model to apply textures to | -| `texture` | BOOLEAN | No | - | Whether to generate textures (default: True) | -| `pbr` | BOOLEAN | No | - | Whether to generate PBR (Physically Based Rendering) materials (default: True) | -| `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) | -| `texture_quality` | COMBO | No | "standard"
"detailed" | Quality level for texture generation (default: "standard"). The "detailed" option costs $0.20 USD, while "standard" costs $0.10 USD. | -| `texture_alignment` | COMBO | No | "original_image"
"geometry" | Method for aligning textures (default: "original_image"). "original_image" aligns textures to the original input image, while "geometry" aligns them to the 3D geometry. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model_task_id` | The task ID of the model to apply textures to | MODEL_TASK_ID | Yes | - | +| `texture` | Whether to generate textures (default: True) | BOOLEAN | No | - | +| `pbr` | Whether to generate PBR (Physically Based Rendering) materials (default: True) | BOOLEAN | No | - | +| `texture_seed` | Random seed for texture generation (default: 42) | INT | No | - | +| `texture_quality` | Quality level for texture generation (default: "standard"). The "detailed" option costs $0.20 USD, while "standard" costs $0.10 USD. | COMBO | No | "standard"
"detailed" | +| `texture_alignment` | Method for aligning textures (default: "original_image"). "original_image" aligns textures to the original input image, while "geometry" aligns them to the 3D geometry. | COMBO | No | "original_image"
"geometry" | *Note: This node requires authentication tokens and API keys which are automatically handled by the system.* ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model_file` | STRING | The generated model file with applied textures (for backward compatibility only) | -| `model task_id` | MODEL_TASK_ID | The task ID for tracking the texture generation process | -| `GLB` | FILE3DGLB | The generated 3D model in GLB format with applied textures | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model_file` | The generated model file with applied textures (for backward compatibility only) | STRING | +| `model task_id` | The task ID for tracking the texture generation process | MODEL_TASK_ID | +| `GLB` | The generated 3D model in GLB format with applied textures | FILE3DGLB | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextureNode/en.md) --- **Source fingerprint (SHA-256):** `dca49933b1b892df38004adc34ab0d95cdcb32d3e38db0e66b260ab7a58dcea5` diff --git a/built-in-nodes/TruncateText.mdx b/built-in-nodes/TruncateText.mdx index 0dcda2716..5e18ae9ca 100644 --- a/built-in-nodes/TruncateText.mdx +++ b/built-in-nodes/TruncateText.mdx @@ -5,22 +5,22 @@ sidebarTitle: "TruncateText" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TruncateText/en.md) - This node shortens text by cutting it off at a specified maximum length. It takes any input text and returns only the first part, up to the number of characters you set. It is a simple way to ensure text does not exceed a certain size. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | Yes | N/A | The text string to be truncated. | -| `max_length` | INT | Yes | 1 to 10000 | Maximum text length. The text will be cut off after this many characters (default: 77). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `text` | The text string to be truncated. | STRING | Yes | N/A | +| `max_length` | Maximum text length. The text will be cut off after this many characters (default: 77). | INT | Yes | 1 to 10000 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `string` | STRING | The truncated text, containing only the first `max_length` characters from the input. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `string` | The truncated text, containing only the first `max_length` characters from the input. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TruncateText/en.md) --- **Source fingerprint (SHA-256):** `b23c92af425be8f7b15d793bbe7f321cab6f7f3137a995bb9724948ae00145e4` diff --git a/built-in-nodes/UNETLoader.mdx b/built-in-nodes/UNETLoader.mdx index a59d62043..2e12d58e2 100644 --- a/built-in-nodes/UNETLoader.mdx +++ b/built-in-nodes/UNETLoader.mdx @@ -5,20 +5,21 @@ sidebarTitle: "UNETLoader" icon: "circle" mode: wide --- - The UNETLoader node is designed for loading U-Net models by name, facilitating the use of pre-trained U-Net architectures within the system. This node will detect models located in the `ComfyUI/models/diffusion_models` folder. ## Inputs -| Parameter | Data Type | Description | -|-------------|--------------|-------------| -| `unet_name` | COMBO[STRING] | Specifies the name of the U-Net model to be loaded. This name is used to locate the model within a predefined directory structure, enabling the dynamic loading of different U-Net models. | -| `weight_dtype` | ... | 🚧 fp8_e4m3fn fp9_e5m2 | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `unet_name` | Specifies the name of the U-Net model to be loaded. This name is used to locate the model within a predefined directory structure, enabling the dynamic loading of different U-Net models. | COMBO[STRING] | +| `weight_dtype` | 🚧 fp8_e4m3fn fp9_e5m2 | ... | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model` | MODEL | Returns the loaded U-Net model, allowing it to be utilized for further processing or inference within the system. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | Returns the loaded U-Net model, allowing it to be utilized for further processing or inference within the system. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNETLoader/en.md) diff --git a/built-in-nodes/UNetCrossAttentionMultiply.mdx b/built-in-nodes/UNetCrossAttentionMultiply.mdx index c1f65661a..e857a6717 100644 --- a/built-in-nodes/UNetCrossAttentionMultiply.mdx +++ b/built-in-nodes/UNetCrossAttentionMultiply.mdx @@ -5,25 +5,25 @@ sidebarTitle: "UNetCrossAttentionMultiply" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetCrossAttentionMultiply/en.md) - The UNetCrossAttentionMultiply node applies multiplication factors to the cross-attention mechanism in a UNet model. It allows you to scale the query, key, value, and output components of the cross-attention layers to experiment with different attention behaviors and effects. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The UNet model to modify with attention scaling factors | -| `q` | FLOAT | No | 0.0 - 10.0 | Scaling factor for query components in cross-attention (default: 1.0) | -| `k` | FLOAT | No | 0.0 - 10.0 | Scaling factor for key components in cross-attention (default: 1.0) | -| `v` | FLOAT | No | 0.0 - 10.0 | Scaling factor for value components in cross-attention (default: 1.0) | -| `out` | FLOAT | No | 0.0 - 10.0 | Scaling factor for output components in cross-attention (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The UNet model to modify with attention scaling factors | MODEL | Yes | - | +| `q` | Scaling factor for query components in cross-attention (default: 1.0) | FLOAT | No | 0.0 - 10.0 | +| `k` | Scaling factor for key components in cross-attention (default: 1.0) | FLOAT | No | 0.0 - 10.0 | +| `v` | Scaling factor for value components in cross-attention (default: 1.0) | FLOAT | No | 0.0 - 10.0 | +| `out` | Scaling factor for output components in cross-attention (default: 1.0) | FLOAT | No | 0.0 - 10.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified UNet model with scaled cross-attention components | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified UNet model with scaled cross-attention components | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetCrossAttentionMultiply/en.md) --- **Source fingerprint (SHA-256):** `f55a6809be88bfb32fa2c70fabd0e5bb7360be78670c9473d4a79517b811454e` diff --git a/built-in-nodes/UNetSelfAttentionMultiply.mdx b/built-in-nodes/UNetSelfAttentionMultiply.mdx index 44b58a943..0dc5fcd5e 100644 --- a/built-in-nodes/UNetSelfAttentionMultiply.mdx +++ b/built-in-nodes/UNetSelfAttentionMultiply.mdx @@ -5,25 +5,25 @@ sidebarTitle: "UNetSelfAttentionMultiply" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetSelfAttentionMultiply/en.md) - The UNetSelfAttentionMultiply node applies multiplication factors to the query, key, value, and output components of the self-attention mechanism in a UNet model. It allows you to scale different parts of the attention computation to experiment with how attention weights affect the model's behavior. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The UNet model to modify with attention scaling factors | -| `q` | FLOAT | No | 0.0 - 10.0 | Multiplication factor for query component (default: 1.0) | -| `k` | FLOAT | No | 0.0 - 10.0 | Multiplication factor for key component (default: 1.0) | -| `v` | FLOAT | No | 0.0 - 10.0 | Multiplication factor for value component (default: 1.0) | -| `out` | FLOAT | No | 0.0 - 10.0 | Multiplication factor for output component (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The UNet model to modify with attention scaling factors | MODEL | Yes | - | +| `q` | Multiplication factor for query component (default: 1.0) | FLOAT | No | 0.0 - 10.0 | +| `k` | Multiplication factor for key component (default: 1.0) | FLOAT | No | 0.0 - 10.0 | +| `v` | Multiplication factor for value component (default: 1.0) | FLOAT | No | 0.0 - 10.0 | +| `out` | Multiplication factor for output component (default: 1.0) | FLOAT | No | 0.0 - 10.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MODEL` | MODEL | The modified UNet model with scaled attention components | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MODEL` | The modified UNet model with scaled attention components | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetSelfAttentionMultiply/en.md) --- **Source fingerprint (SHA-256):** `7a6039eb2faae56437a5eb6fe01be6d38e53c0632175a3405a1e24a476d4da82` diff --git a/built-in-nodes/UNetTemporalAttentionMultiply.mdx b/built-in-nodes/UNetTemporalAttentionMultiply.mdx index 338946869..3e16aaba9 100644 --- a/built-in-nodes/UNetTemporalAttentionMultiply.mdx +++ b/built-in-nodes/UNetTemporalAttentionMultiply.mdx @@ -5,25 +5,25 @@ sidebarTitle: "UNetTemporalAttentionMultiply" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetTemporalAttentionMultiply/en.md) - The UNetTemporalAttentionMultiply node applies multiplication factors to different types of attention mechanisms in a temporal UNet model. It modifies the model by adjusting the weights of self-attention and cross-attention layers, distinguishing between structural and temporal components. This allows fine-tuning of how much influence each attention type has on the model's output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The input model to modify with attention multipliers | -| `self_structural` | FLOAT | No | 0.0 - 10.0 | Multiplier for self-attention structural components (default: 1.0) | -| `self_temporal` | FLOAT | No | 0.0 - 10.0 | Multiplier for self-attention temporal components (default: 1.0) | -| `cross_structural` | FLOAT | No | 0.0 - 10.0 | Multiplier for cross-attention structural components (default: 1.0) | -| `cross_temporal` | FLOAT | No | 0.0 - 10.0 | Multiplier for cross-attention temporal components (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The input model to modify with attention multipliers | MODEL | Yes | - | +| `self_structural` | Multiplier for self-attention structural components (default: 1.0) | FLOAT | No | 0.0 - 10.0 | +| `self_temporal` | Multiplier for self-attention temporal components (default: 1.0) | FLOAT | No | 0.0 - 10.0 | +| `cross_structural` | Multiplier for cross-attention structural components (default: 1.0) | FLOAT | No | 0.0 - 10.0 | +| `cross_temporal` | Multiplier for cross-attention temporal components (default: 1.0) | FLOAT | No | 0.0 - 10.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with adjusted attention weights | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with adjusted attention weights | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetTemporalAttentionMultiply/en.md) --- **Source fingerprint (SHA-256):** `b43c7c51cbc71349dd267c4abe1704899a394e205a60a13b45869f690d83a0f0` diff --git a/built-in-nodes/USOStyleReference.mdx b/built-in-nodes/USOStyleReference.mdx index 7d0b531a1..f699381f5 100644 --- a/built-in-nodes/USOStyleReference.mdx +++ b/built-in-nodes/USOStyleReference.mdx @@ -5,23 +5,23 @@ sidebarTitle: "USOStyleReference" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/USOStyleReference/en.md) - The USOStyleReference node applies style reference patches to models using encoded image features from CLIP vision output. It creates a modified version of the input model by incorporating style information extracted from visual inputs, enabling style transfer or reference-based generation capabilities. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The base model to apply the style reference patch to | -| `model_patch` | MODEL_PATCH | Yes | - | The model patch containing style reference information | -| `clip_vision_output` | CLIP_VISION_OUTPUT | Yes | - | The encoded visual features extracted from CLIP vision processing | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The base model to apply the style reference patch to | MODEL | Yes | - | +| `model_patch` | The model patch containing style reference information | MODEL_PATCH | Yes | - | +| `clip_vision_output` | The encoded visual features extracted from CLIP vision processing | CLIP_VISION_OUTPUT | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with applied style reference patches | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with applied style reference patches | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/USOStyleReference/en.md) --- **Source fingerprint (SHA-256):** `fd800fb927677da29e148bfa1b287efed82895860ce4b0241d662579d2c07ff4` diff --git a/built-in-nodes/UpscaleModelLoader.mdx b/built-in-nodes/UpscaleModelLoader.mdx index fdc1e3794..fa5ed5109 100644 --- a/built-in-nodes/UpscaleModelLoader.mdx +++ b/built-in-nodes/UpscaleModelLoader.mdx @@ -11,12 +11,14 @@ The UpscaleModelLoader node is designed for loading upscale models from a specif ## Inputs -| Field | Comfy dtype | Description | -|----------------|-------------------|-----------------------------------------------------------------------------------| -| `model_name` | `COMBO[STRING]` | Specifies the name of the upscale model to be loaded, identifying and retrieving the correct model file from the upscale models directory. | +| Field | Description | Comfy dtype | +| --- | --- | --- | +| `model_name` | Specifies the name of the upscale model to be loaded, identifying and retrieving the correct model file from the upscale models directory. | `COMBO[STRING]` | ## Outputs -| Field | Comfy dtype | Description | -|-------------------|---------------------|--------------------------------------------------------------------------| -| `upscale_model` | `UPSCALE_MODEL` | Returns the loaded and prepared upscale model, ready for use in image upscaling tasks. | +| Field | Description | Comfy dtype | +| --- | --- | --- | +| `upscale_model` | Returns the loaded and prepared upscale model, ready for use in image upscaling tasks. | `UPSCALE_MODEL` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UpscaleModelLoader/en.md) diff --git a/built-in-nodes/VAEDecode.mdx b/built-in-nodes/VAEDecode.mdx index 0646d63f1..d8e641211 100644 --- a/built-in-nodes/VAEDecode.mdx +++ b/built-in-nodes/VAEDecode.mdx @@ -5,18 +5,19 @@ sidebarTitle: "VAEDecode" icon: "circle" mode: wide --- - The VAEDecode node is designed for decoding latent representations into images using a specified Variational Autoencoder (VAE). It serves the purpose of generating images from compressed data representations, facilitating the reconstruction of images from their latent space encodings. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `samples` | `LATENT` | The 'samples' parameter represents the latent representations to be decoded into images. It is crucial for the decoding process as it provides the compressed data from which the images are reconstructed. | -| `vae` | VAE | The 'vae' parameter specifies the Variational Autoencoder model to be used for decoding the latent representations into images. It is essential for determining the decoding mechanism and the quality of the reconstructed images. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `samples` | The 'samples' parameter represents the latent representations to be decoded into images. It is crucial for the decoding process as it provides the compressed data from which the images are reconstructed. | `LATENT` | +| `vae` | The 'vae' parameter specifies the Variational Autoencoder model to be used for decoding the latent representations into images. It is essential for determining the decoding mechanism and the quality of the reconstructed images. | VAE | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `image` | `IMAGE` | The output is an image reconstructed from the provided latent representation using the specified VAE model. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `image` | The output is an image reconstructed from the provided latent representation using the specified VAE model. | `IMAGE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecode/en.md) diff --git a/built-in-nodes/VAEDecodeAudio.mdx b/built-in-nodes/VAEDecodeAudio.mdx index cdeb9afec..dc1b39a64 100644 --- a/built-in-nodes/VAEDecodeAudio.mdx +++ b/built-in-nodes/VAEDecodeAudio.mdx @@ -5,22 +5,22 @@ sidebarTitle: "VAEDecodeAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudio/en.md) - The VAEDecodeAudio node converts latent representations back into audio waveforms using a Variational Autoencoder. It takes encoded audio samples and processes them through the VAE to reconstruct the original audio, applying normalization to ensure consistent output levels. The resulting audio is returned with a standard sample rate of 44100 Hz, or the sample rate from the input samples if provided. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | Yes | - | The encoded audio samples in latent space that will be decoded back to audio waveform | -| `vae` | VAE | Yes | - | The Variational Autoencoder model used to decode the latent samples into audio | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `samples` | The encoded audio samples in latent space that will be decoded back to audio waveform | LATENT | Yes | - | +| `vae` | The Variational Autoencoder model used to decode the latent samples into audio | VAE | Yes | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `AUDIO` | AUDIO | The decoded audio waveform with normalized volume and sample rate (default: 44100 Hz, or the sample rate from the input `samples` if present) | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `AUDIO` | The decoded audio waveform with normalized volume and sample rate (default: 44100 Hz, or the sample rate from the input `samples` if present) | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudio/en.md) --- **Source fingerprint (SHA-256):** `4736b987361bf16ad9c5db1a9f8593646fd7ffb37267aed4396285a2a0e6c1cc` diff --git a/built-in-nodes/VAEDecodeAudioTiled.mdx b/built-in-nodes/VAEDecodeAudioTiled.mdx index dd13f4a77..287840868 100644 --- a/built-in-nodes/VAEDecodeAudioTiled.mdx +++ b/built-in-nodes/VAEDecodeAudioTiled.mdx @@ -5,24 +5,24 @@ sidebarTitle: "VAEDecodeAudioTiled" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/en.md) - This node converts a compressed audio representation (latent samples) back into an audio waveform using a Variational Autoencoder (VAE). It processes the data in smaller, overlapping sections (tiles) to manage memory usage, making it suitable for handling longer audio sequences. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | Yes | N/A | The compressed latent representation of the audio to be decoded. | -| `vae` | VAE | Yes | N/A | The Variational Autoencoder model used to perform the decoding. | -| `tile_size` | INT | Yes | 32 to 8192 | The size of each processing tile. The audio is decoded in sections of this length to conserve memory (default: 512). | -| `overlap` | INT | Yes | 0 to 1024 | The number of samples that adjacent tiles overlap. This helps to reduce artifacts at the boundaries between tiles (default: 64). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `samples` | The compressed latent representation of the audio to be decoded. | LATENT | Yes | N/A | +| `vae` | The Variational Autoencoder model used to perform the decoding. | VAE | Yes | N/A | +| `tile_size` | The size of each processing tile. The audio is decoded in sections of this length to conserve memory (default: 512). | INT | Yes | 32 to 8192 | +| `overlap` | The number of samples that adjacent tiles overlap. This helps to reduce artifacts at the boundaries between tiles (default: 64). | INT | Yes | 0 to 1024 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | AUDIO | The decoded audio waveform. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The decoded audio waveform. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/en.md) --- **Source fingerprint (SHA-256):** `d846ec48856b8a1415101b8db06b5dd38b5d1222c117ea4f170daf3347ed1685` diff --git a/built-in-nodes/VAEDecodeHunyuan3D.mdx b/built-in-nodes/VAEDecodeHunyuan3D.mdx index 1b584ef1e..16e473cff 100644 --- a/built-in-nodes/VAEDecodeHunyuan3D.mdx +++ b/built-in-nodes/VAEDecodeHunyuan3D.mdx @@ -5,24 +5,24 @@ sidebarTitle: "VAEDecodeHunyuan3D" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeHunyuan3D/en.md) - The VAEDecodeHunyuan3D node converts latent representations into 3D voxel data using a VAE decoder. It processes the latent samples through the VAE model with configurable chunking and resolution settings to generate volumetric data suitable for 3D applications. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | Yes | - | The latent representation to be decoded into 3D voxel data | -| `vae` | VAE | Yes | - | The VAE model used for decoding the latent samples | -| `num_chunks` | INT | Yes | 1000-500000 | The number of chunks to split the processing into for memory management (default: 8000) | -| `octree_resolution` | INT | Yes | 16-512 | The resolution of the octree structure used for 3D voxel generation (default: 256) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `samples` | The latent representation to be decoded into 3D voxel data | LATENT | Yes | - | +| `vae` | The VAE model used for decoding the latent samples | VAE | Yes | - | +| `num_chunks` | The number of chunks to split the processing into for memory management (default: 8000) | INT | Yes | 1000-500000 | +| `octree_resolution` | The resolution of the octree structure used for 3D voxel generation (default: 256) | INT | Yes | 16-512 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `voxels` | VOXEL | The generated 3D voxel data from the decoded latent representation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `voxels` | The generated 3D voxel data from the decoded latent representation | VOXEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeHunyuan3D/en.md) --- **Source fingerprint (SHA-256):** `04818af007257ec0c73873dba703465960e7adae8a9b22649e118116c388da56` diff --git a/built-in-nodes/VAEDecodeTiled.mdx b/built-in-nodes/VAEDecodeTiled.mdx index 52ccfb3da..431938ba2 100644 --- a/built-in-nodes/VAEDecodeTiled.mdx +++ b/built-in-nodes/VAEDecodeTiled.mdx @@ -5,28 +5,28 @@ sidebarTitle: "VAEDecodeTiled" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeTiled/en.md) - The VAEDecodeTiled node decodes latent representations into images using a tiled approach to handle large images efficiently. It processes the input in smaller tiles to manage memory usage while maintaining image quality. The node also supports video VAEs by processing temporal frames in chunks with overlap for smooth transitions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | Yes | - | The latent representation to be decoded into images | -| `vae` | VAE | Yes | - | The VAE model used for decoding the latent samples | -| `tile_size` | INT | Yes | 64-4096 (step: 32) | The size of each tile for processing (default: 512) | -| `overlap` | INT | Yes | 0-4096 (step: 32) | The amount of overlap between adjacent tiles (default: 64) | -| `temporal_size` | INT | Yes | 8-4096 (step: 4) | Only used for video VAEs: Amount of frames to decode at a time (default: 64) | -| `temporal_overlap` | INT | Yes | 4-4096 (step: 4) | Only used for video VAEs: Amount of frames to overlap (default: 8) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `samples` | The latent representation to be decoded into images | LATENT | Yes | - | +| `vae` | The VAE model used for decoding the latent samples | VAE | Yes | - | +| `tile_size` | The size of each tile for processing (default: 512) | INT | Yes | 64-4096 (step: 32) | +| `overlap` | The amount of overlap between adjacent tiles (default: 64) | INT | Yes | 0-4096 (step: 32) | +| `temporal_size` | Only used for video VAEs: Amount of frames to decode at a time (default: 64) | INT | Yes | 8-4096 (step: 4) | +| `temporal_overlap` | Only used for video VAEs: Amount of frames to overlap (default: 8) | INT | Yes | 4-4096 (step: 4) | **Note:** The node automatically adjusts overlap values if they exceed practical limits. If `tile_size` is less than 4 times the `overlap`, the overlap is reduced to one quarter of the tile size. Similarly, if `temporal_size` is less than twice the `temporal_overlap`, the temporal overlap is halved. The node also accounts for the VAE's internal compression ratios when calculating tile and overlap sizes for both spatial and temporal dimensions. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The decoded image or images generated from the latent representation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The decoded image or images generated from the latent representation | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeTiled/en.md) --- **Source fingerprint (SHA-256):** `193d5cb219d66855ae581d3e4488b7b6ae3a45b735fb0f9f784fea1f5d466e46` diff --git a/built-in-nodes/VAEDecodeTripoSplat.mdx b/built-in-nodes/VAEDecodeTripoSplat.mdx new file mode 100644 index 000000000..81131ca4f --- /dev/null +++ b/built-in-nodes/VAEDecodeTripoSplat.mdx @@ -0,0 +1,32 @@ +--- +title: "VAEDecodeTripoSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEDecodeTripoSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAEDecodeTripoSplat" +icon: "circle" +mode: wide +--- +# VAEDecodeTripoSplat + +Decode a TripoSplat latent representation into a 3D gaussian splat. This node takes the sampled latent from a TripoSplat model and reconstructs it as a set of 3D gaussians, which can be adjusted in density by modifying the number of gaussians produced. + +## Inputs + +| Parameter | Description | Data Type | Required | Range | +|-----------|-------------|-----------|----------|-------| +| `samples` | The latent samples to decode | LATENT | Yes | - | +| `vae` | TripoSplat VAE decoder model | VAE | Yes | - | +| `num_gaussians` | Number of gaussians to produce (rounded to a multiple of 32). 262144 matches the octree's point density; higher oversamples the same points (denser, but no new detail) and costs proportionally more VRAM/time. Default: 262144 | INT | Yes | 32 to 1048576 (step: 32) | +| `seed` | Seeds the octree point sampler (global RNG) for deterministic decodes. Default: 0 | INT | Yes | 0 to 18446744073709551615 | + +**Note:** The `num_gaussians` value is automatically rounded to a multiple of the VAE decoder's gaussians-per-point setting. The actual number used may differ slightly from the input value. + +## Outputs + +| Output Name | Description | Data Type | +|-------------|-------------|-----------| +| `splat` | The decoded 3D gaussian splat containing positions, scales, rotations, opacities, and spherical harmonics coefficients | SPLAT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeTripoSplat/en.md) + +--- +**Source fingerprint (SHA-256):** `60fff70ade38bc820eaea9db26b714daf84a111fb3563477f56f4e8ffa96ff5b` diff --git a/built-in-nodes/VAEEncode.mdx b/built-in-nodes/VAEEncode.mdx index e0d6d4370..00fc9114a 100644 --- a/built-in-nodes/VAEEncode.mdx +++ b/built-in-nodes/VAEEncode.mdx @@ -5,18 +5,19 @@ sidebarTitle: "VAEEncode" icon: "circle" mode: wide --- - This node is designed for encoding images into a latent space representation using a specified VAE model. It abstracts the complexity of the encoding process, providing a straightforward way to transform images into their latent representations. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `pixels` | `IMAGE` | The 'pixels' parameter represents the image data to be encoded into the latent space. It plays a crucial role in determining the output latent representation by serving as the direct input for the encoding process. | -| `vae` | VAE | The 'vae' parameter specifies the Variational Autoencoder model to be used for encoding the image data into latent space. It is essential for defining the encoding mechanism and characteristics of the generated latent representation. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `pixels` | The 'pixels' parameter represents the image data to be encoded into the latent space. It plays a crucial role in determining the output latent representation by serving as the direct input for the encoding process. | `IMAGE` | +| `vae` | The 'vae' parameter specifies the Variational Autoencoder model to be used for encoding the image data into latent space. It is essential for defining the encoding mechanism and characteristics of the generated latent representation. | VAE | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The output is a latent space representation of the input image, encapsulating its essential features in a compressed form. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The output is a latent space representation of the input image, encapsulating its essential features in a compressed form. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncode/en.md) diff --git a/built-in-nodes/VAEEncodeAudio.mdx b/built-in-nodes/VAEEncodeAudio.mdx index ade586355..08308d267 100644 --- a/built-in-nodes/VAEEncodeAudio.mdx +++ b/built-in-nodes/VAEEncodeAudio.mdx @@ -5,24 +5,24 @@ sidebarTitle: "VAEEncodeAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeAudio/en.md) - The VAEEncodeAudio node converts audio data into a latent representation using a Variational Autoencoder (VAE). It takes audio input and processes it through the VAE to generate compressed latent samples that can be used for further audio generation or manipulation tasks. The node automatically resamples audio to match the VAE's expected sample rate if needed before encoding. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | - | The audio data to encode, containing waveform and sample rate information | -| `vae` | VAE | Yes | - | The Variational Autoencoder model used to encode the audio into latent space | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | The audio data to encode, containing waveform and sample rate information | AUDIO | Yes | - | +| `vae` | The Variational Autoencoder model used to encode the audio into latent space | VAE | Yes | - | **Note:** The audio input is automatically resampled to match the VAE's expected sample rate (default: 44100 Hz) if the original sample rate differs from this value. If the input audio is None (e.g., the source video has no audio track), the node will raise an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `LATENT` | LATENT | The encoded audio representation in latent space, containing compressed samples | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `LATENT` | The encoded audio representation in latent space, containing compressed samples | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeAudio/en.md) --- **Source fingerprint (SHA-256):** `5c65a853a121a557a5342d337c27e2ea3acff48e6b911bdaf27c89d4c7dc01b6` diff --git a/built-in-nodes/VAEEncodeForInpaint.mdx b/built-in-nodes/VAEEncodeForInpaint.mdx index bf0ee0dd4..3774f797c 100644 --- a/built-in-nodes/VAEEncodeForInpaint.mdx +++ b/built-in-nodes/VAEEncodeForInpaint.mdx @@ -5,20 +5,21 @@ sidebarTitle: "VAEEncodeForInpaint" icon: "circle" mode: wide --- - This node is designed for encoding images into a latent representation suitable for inpainting tasks, incorporating additional preprocessing steps to adjust the input image and mask for optimal encoding by the VAE model. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `pixels` | `IMAGE` | The input image to be encoded. This image undergoes preprocessing and resizing to match the VAE model's expected input dimensions before encoding. | -| `vae` | VAE | The VAE model used for encoding the image into its latent representation. It plays a crucial role in the transformation process, determining the quality and characteristics of the output latent space. | -| `mask` | `MASK` | A mask indicating the regions of the input image to be inpainted. It is used to modify the image before encoding, ensuring that the VAE focuses on the relevant areas. | -| `grow_mask_by` | `INT` | Specifies how much to expand the inpainting mask to ensure seamless transitions in the latent space. A larger value increases the area affected by inpainting. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `pixels` | The input image to be encoded. This image undergoes preprocessing and resizing to match the VAE model's expected input dimensions before encoding. | `IMAGE` | +| `vae` | The VAE model used for encoding the image into its latent representation. It plays a crucial role in the transformation process, determining the quality and characteristics of the output latent space. | VAE | +| `mask` | A mask indicating the regions of the input image to be inpainted. It is used to modify the image before encoding, ensuring that the VAE focuses on the relevant areas. | `MASK` | +| `grow_mask_by` | Specifies how much to expand the inpainting mask to ensure seamless transitions in the latent space. A larger value increases the area affected by inpainting. | `INT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `latent` | `LATENT` | The output includes the encoded latent representation of the image and a noise mask, both crucial for subsequent inpainting tasks. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `latent` | The output includes the encoded latent representation of the image and a noise mask, both crucial for subsequent inpainting tasks. | `LATENT` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeForInpaint/en.md) diff --git a/built-in-nodes/VAEEncodeTiled.mdx b/built-in-nodes/VAEEncodeTiled.mdx index 922530bb1..adbe2fa7f 100644 --- a/built-in-nodes/VAEEncodeTiled.mdx +++ b/built-in-nodes/VAEEncodeTiled.mdx @@ -5,28 +5,28 @@ sidebarTitle: "VAEEncodeTiled" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeTiled/en.md) - The VAEEncodeTiled node processes images by breaking them into smaller tiles and encoding them using a Variational Autoencoder. This tiled approach allows handling of large images that might otherwise exceed memory limitations. The node supports both image and video VAEs, with separate tiling controls for spatial and temporal dimensions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `pixels` | IMAGE | Yes | - | The input image data to be encoded | -| `vae` | VAE | Yes | - | The Variational Autoencoder model used for encoding | -| `tile_size` | INT | Yes | 64-4096 (step: 64) | The size of each tile for spatial processing (default: 512) | -| `overlap` | INT | Yes | 0-4096 (step: 32) | The amount of overlap between adjacent tiles (default: 64) | -| `temporal_size` | INT | Yes | 8-4096 (step: 4) | Only used for video VAEs: Amount of frames to encode at a time (default: 64) | -| `temporal_overlap` | INT | Yes | 4-4096 (step: 4) | Only used for video VAEs: Amount of frames to overlap (default: 8) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `pixels` | The input image data to be encoded | IMAGE | Yes | - | +| `vae` | The Variational Autoencoder model used for encoding | VAE | Yes | - | +| `tile_size` | The size of each tile for spatial processing (default: 512) | INT | Yes | 64-4096 (step: 64) | +| `overlap` | The amount of overlap between adjacent tiles (default: 64) | INT | Yes | 0-4096 (step: 32) | +| `temporal_size` | Only used for video VAEs: Amount of frames to encode at a time (default: 64) | INT | Yes | 8-4096 (step: 4) | +| `temporal_overlap` | Only used for video VAEs: Amount of frames to overlap (default: 8) | INT | Yes | 4-4096 (step: 4) | **Note:** The `temporal_size` and `temporal_overlap` parameters are only relevant when using video VAEs and have no effect on standard image VAEs. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `LATENT` | LATENT | The encoded latent representation of the input image | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `LATENT` | The encoded latent representation of the input image | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeTiled/en.md) --- **Source fingerprint (SHA-256):** `87420b96ef9b2d5ef18ecb0339a62b6955151e2a9d2c4390758048c00432939a` diff --git a/built-in-nodes/VAELoader.mdx b/built-in-nodes/VAELoader.mdx index b9450a180..5bcd0b193 100644 --- a/built-in-nodes/VAELoader.mdx +++ b/built-in-nodes/VAELoader.mdx @@ -11,12 +11,14 @@ The VAELoader node is designed for loading Variational Autoencoder (VAE) models, ## Inputs -| Field | Comfy dtype | Description | -|---------|-------------------|-----------------------------------------------------------------------------------------------| -| `vae_name` | `COMBO[STRING]` | Specifies the name of the VAE to be loaded, determining which VAE model is fetched and loaded, with support for a range of predefined VAE names including 'taesd' and 'taesdxl'. | +| Field | Description | Comfy dtype | +| --- | --- | --- | +| `vae_name` | Specifies the name of the VAE to be loaded, determining which VAE model is fetched and loaded, with support for a range of predefined VAE names including 'taesd' and 'taesdxl'. | `COMBO[STRING]` | ## Outputs -| Field | Data Type | Description | -|-------|-------------|--------------------------------------------------------------------------| -| `vae` | `VAE` | Returns the loaded VAE model, ready for further operations such as encoding or decoding. The output is a model object encapsulating the loaded model's state. | +| Field | Description | Data Type | +| --- | --- | --- | +| `vae` | Returns the loaded VAE model, ready for further operations such as encoding or decoding. The output is a model object encapsulating the loaded model's state. | `VAE` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAELoader/en.md) diff --git a/built-in-nodes/VAESave.mdx b/built-in-nodes/VAESave.mdx index 4e023233f..03bb22f58 100644 --- a/built-in-nodes/VAESave.mdx +++ b/built-in-nodes/VAESave.mdx @@ -5,16 +5,17 @@ sidebarTitle: "VAESave" icon: "circle" mode: wide --- - The VAESave node is designed for saving VAE models along with their metadata, including prompts and additional PNG information, to a specified output directory. It encapsulates the functionality to serialize the model state and associated information into a file, facilitating the preservation and sharing of trained models. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `vae` | VAE | The VAE model to be saved. This parameter is crucial as it represents the model whose state is to be serialized and stored. | -| `filename_prefix` | STRING | A prefix for the filename under which the model and its metadata will be saved. This allows for organized storage and easy retrieval of models. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `vae` | The VAE model to be saved. This parameter is crucial as it represents the model whose state is to be serialized and stored. | VAE | +| `filename_prefix` | A prefix for the filename under which the model and its metadata will be saved. This allows for organized storage and easy retrieval of models. | STRING | ## Outputs The node doesn't have output types. + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAESave/en.md) diff --git a/built-in-nodes/VOIDInpaintConditioning.mdx b/built-in-nodes/VOIDInpaintConditioning.mdx index 4d873761e..7c02e54cc 100644 --- a/built-in-nodes/VOIDInpaintConditioning.mdx +++ b/built-in-nodes/VOIDInpaintConditioning.mdx @@ -5,31 +5,31 @@ sidebarTitle: "VOIDInpaintConditioning" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDInpaintConditioning/en.md) - The VOIDInpaintConditioning node prepares the conditioning data needed for inpainting with CogVideoX models. It takes a source video and a preprocessed quadmask, encodes them through the VAE, and combines them into a 32-channel conditioning signal that the model uses to fill in the masked areas. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The positive conditioning to be augmented with the inpainting latent information | -| `negative` | CONDITIONING | Yes | - | The negative conditioning to be augmented with the inpainting latent information | -| `vae` | VAE | Yes | - | The VAE model used to encode the mask and masked video into latent space | -| `video` | IMAGE | Yes | - | Source video frames [T, H, W, 3] | -| `quadmask` | MASK | Yes | - | Preprocessed quadmask from VOIDQuadmaskPreprocess [T, H, W] | -| `width` | INT | Yes | 16 to MAX_RESOLUTION (step: 8) | The width to resize the video and mask to (default: 672) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION (step: 8) | The height to resize the video and mask to (default: 384) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION (step: 1) | Number of pixel frames to process. For CogVideoX-Fun-V1.5 (patch_size_t=2), latent_t must be even — lengths that produce odd latent_t are rounded down (e.g. 49 → 45) (default: 45) | -| `batch_size` | INT | Yes | 1 to 64 | The batch size for the output noise latent (default: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning to be augmented with the inpainting latent information | CONDITIONING | Yes | - | +| `negative` | The negative conditioning to be augmented with the inpainting latent information | CONDITIONING | Yes | - | +| `vae` | The VAE model used to encode the mask and masked video into latent space | VAE | Yes | - | +| `video` | Source video frames [T, H, W, 3] | IMAGE | Yes | - | +| `quadmask` | Preprocessed quadmask from VOIDQuadmaskPreprocess [T, H, W] | MASK | Yes | - | +| `width` | The width to resize the video and mask to (default: 672) | INT | Yes | 16 to MAX_RESOLUTION (step: 8) | +| `height` | The height to resize the video and mask to (default: 384) | INT | Yes | 16 to MAX_RESOLUTION (step: 8) | +| `length` | Number of pixel frames to process. For CogVideoX-Fun-V1.5 (patch_size_t=2), latent_t must be even — lengths that produce odd latent_t are rounded down (e.g. 49 → 45) (default: 45) | INT | Yes | 1 to MAX_RESOLUTION (step: 1) | +| `batch_size` | The batch size for the output noise latent (default: 1) | INT | Yes | 1 to 64 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The positive conditioning with the inpainting latent information added | -| `negative` | CONDITIONING | The negative conditioning with the inpainting latent information added | -| `latent` | LATENT | A zero-filled noise latent tensor with shape [batch_size, 16, latent_t, latent_h, latent_w] | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The positive conditioning with the inpainting latent information added | CONDITIONING | +| `negative` | The negative conditioning with the inpainting latent information added | CONDITIONING | +| `latent` | A zero-filled noise latent tensor with shape [batch_size, 16, latent_t, latent_h, latent_w] | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDInpaintConditioning/en.md) --- **Source fingerprint (SHA-256):** `47c40f8bb7527bc28178f3ad78e7bfb579e07d42efd0398d5760335c6b5b3c44` diff --git a/built-in-nodes/VOIDQuadmaskPreprocess.mdx b/built-in-nodes/VOIDQuadmaskPreprocess.mdx index 487807d03..7ab8c3f8a 100644 --- a/built-in-nodes/VOIDQuadmaskPreprocess.mdx +++ b/built-in-nodes/VOIDQuadmaskPreprocess.mdx @@ -5,24 +5,24 @@ sidebarTitle: "VOIDQuadmaskPreprocess" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDQuadmaskPreprocess/en.md) - ## Overview The VOIDQuadmaskPreprocess node prepares a mask for VOID inpainting by converting it into a special four-level "quadmask." It takes an input mask, optionally dilates the primary region, then quantizes the mask values into four distinct levels representing different semantic regions (primary object, overlap, affected area, and background). Finally, it inverts and normalizes the mask so the output values are in the range [0, 1], where 1.0 indicates the area to remove and 0.0 indicates the area to keep. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `mask` | MASK | Yes | N/A | The input mask to be preprocessed. | -| `dilate_width` | INT | No | 0 to 50 (step: 1) | Dilation radius for the primary mask region. A value of 0 means no dilation is applied. (default: 0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `mask` | The input mask to be preprocessed. | MASK | Yes | N/A | +| `dilate_width` | Dilation radius for the primary mask region. A value of 0 means no dilation is applied. (default: 0) | INT | No | 0 to 50 (step: 1) | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `quadmask` | MASK | The preprocessed quadmask with values in [0, 1], representing four discrete levels: 1.0 (primary object to remove), ~0.75 (overlap of primary and affected), ~0.50 (affected region), and 0.0 (background to keep). | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `quadmask` | The preprocessed quadmask with values in [0, 1], representing four discrete levels: 1.0 (primary object to remove), ~0.75 (overlap of primary and affected), ~0.50 (affected region), and 0.0 (background to keep). | MASK | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDQuadmaskPreprocess/en.md) --- **Source fingerprint (SHA-256):** `a972ff74686baaa3a3659a74517d3b6f7335e8f62d09be9329d0e71d1fad137a` diff --git a/built-in-nodes/VOIDSampler.mdx b/built-in-nodes/VOIDSampler.mdx index b933698f0..3146d7ffa 100644 --- a/built-in-nodes/VOIDSampler.mdx +++ b/built-in-nodes/VOIDSampler.mdx @@ -5,8 +5,6 @@ sidebarTitle: "VOIDSampler" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDSampler/en.md) - ## Overview The VOIDSampler node provides a specialized DDIM sampling method designed specifically for VOID inpainting models. It implements the same denoising process used during VOID model training, without the noise scaling that standard KSamplers apply. This node is intended for use with SamplerCustom or SamplerCustomAdvanced nodes, and should be paired with RandomNoise or VOIDWarpedNoiseSource. @@ -15,15 +13,17 @@ The VOIDSampler node provides a specialized DDIM sampling method designed specif This node has no configurable input parameters. It is a self-contained sampler that applies a fixed DDIM sampling algorithm. -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| *No inputs* | - | - | - | This node does not accept any input parameters. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| *No inputs* | This node does not accept any input parameters. | - | - | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `SAMPLER` | SAMPLER | A sampler object implementing the VOID DDIM algorithm, ready to be connected to SamplerCustom or SamplerCustomAdvanced nodes. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `SAMPLER` | A sampler object implementing the VOID DDIM algorithm, ready to be connected to SamplerCustom or SamplerCustomAdvanced nodes. | SAMPLER | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDSampler/en.md) --- **Source fingerprint (SHA-256):** `ca30211dc30975a1c6447afd3f6dcdb29d59d31effabe9b7fed5b90ee1cab540` diff --git a/built-in-nodes/VOIDWarpedNoise.mdx b/built-in-nodes/VOIDWarpedNoise.mdx index 1432ece01..83c993fd8 100644 --- a/built-in-nodes/VOIDWarpedNoise.mdx +++ b/built-in-nodes/VOIDWarpedNoise.mdx @@ -5,30 +5,30 @@ sidebarTitle: "VOIDWarpedNoise" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoise/en.md) - ## Overview Generates temporally-correlated noise for the second pass of the VOID video refinement process. It takes the output video from Pass 1 and warps Gaussian noise along optical flow vectors, creating noise that moves consistently with the video content. This warped noise is used as the starting latent for Pass 2, which improves temporal consistency in the final output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `optical_flow` | OPTICAL_FLOW | Yes | - | Optical flow model from OpticalFlowLoader (RAFT-large). | -| `video` | IMAGE | Yes | - | Pass 1 output video frames [T, H, W, 3]. | -| `width` | INT | Yes | 16 to MAX_RESOLUTION (step 8) | Width of the output latent (default: 672). | -| `height` | INT | Yes | 16 to MAX_RESOLUTION (step 8) | Height of the output latent (default: 384). | -| `length` | INT | Yes | 1 to MAX_RESOLUTION (step 1) | Number of pixel frames. Rounded down to make latent_t even (patch_size_t=2 requirement), e.g. 49 → 45 (default: 45). | -| `batch_size` | INT | Yes | 1 to 64 | Number of identical noise sequences to generate (default: 1). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `optical_flow` | Optical flow model from OpticalFlowLoader (RAFT-large). | OPTICAL_FLOW | Yes | - | +| `video` | Pass 1 output video frames [T, H, W, 3]. | IMAGE | Yes | - | +| `width` | Width of the output latent (default: 672). | INT | Yes | 16 to MAX_RESOLUTION (step 8) | +| `height` | Height of the output latent (default: 384). | INT | Yes | 16 to MAX_RESOLUTION (step 8) | +| `length` | Number of pixel frames. Rounded down to make latent_t even (patch_size_t=2 requirement), e.g. 49 → 45 (default: 45). | INT | Yes | 1 to MAX_RESOLUTION (step 1) | +| `batch_size` | Number of identical noise sequences to generate (default: 1). | INT | Yes | 1 to 64 | **Note on `length` parameter:** The `length` value is automatically rounded down to the nearest valid value that produces an even `latent_t` dimension. This is required by the CogVideoX-Fun-V1.5 model's `patch_size_t=2` constraint. A warning is logged when rounding occurs. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `warped_noise` | LATENT | A 5D tensor (B, C, T, H, W) containing optical-flow warped Gaussian noise, ready for use as the initial latent in VOID Pass 2. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `warped_noise` | A 5D tensor (B, C, T, H, W) containing optical-flow warped Gaussian noise, ready for use as the initial latent in VOID Pass 2. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoise/en.md) --- **Source fingerprint (SHA-256):** `fa7f08bd5e050324d1d9681243e82d66b1613b8694a5b69a5949b39974c6bddb` diff --git a/built-in-nodes/VOIDWarpedNoiseSource.mdx b/built-in-nodes/VOIDWarpedNoiseSource.mdx index ab2ec2f13..9ef56cd87 100644 --- a/built-in-nodes/VOIDWarpedNoiseSource.mdx +++ b/built-in-nodes/VOIDWarpedNoiseSource.mdx @@ -5,23 +5,23 @@ sidebarTitle: "VOIDWarpedNoiseSource" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoiseSource/en.md) - ## Overview This node converts a LATENT (such as the output from the VOIDWarpedNoise node) into a NOISE source. This allows you to use the warped noise with the SamplerCustomAdvanced node for more controlled image generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `warped_noise` | LATENT | Yes | N/A | Warped noise latent from VOIDWarpedNoise | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `warped_noise` | Warped noise latent from VOIDWarpedNoise | LATENT | Yes | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `NOISE` | NOISE | A noise source that can be used with SamplerCustomAdvanced | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `NOISE` | A noise source that can be used with SamplerCustomAdvanced | NOISE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoiseSource/en.md) --- **Source fingerprint (SHA-256):** `9b1eeb2df7fc0bcf0649ff2d2425938eae5fbc44ecc0f5d1678b7e227b3a098f` diff --git a/built-in-nodes/VPScheduler.mdx b/built-in-nodes/VPScheduler.mdx index 981e0dc94..0b00e454e 100644 --- a/built-in-nodes/VPScheduler.mdx +++ b/built-in-nodes/VPScheduler.mdx @@ -5,20 +5,21 @@ sidebarTitle: "VPScheduler" icon: "circle" mode: wide --- - The VPScheduler node is designed to generate a sequence of noise levels (sigmas) based on the Variance Preserving (VP) scheduling method. This sequence is crucial for guiding the denoising process in diffusion models, allowing for controlled generation of images or other data types. ## Inputs -| Parameter | Data Type | Description | -|-------------|-------------|--------------------------------------------------------------------------------------------------------------------------------------------------| -| `steps` | INT | Specifies the number of steps in the diffusion process, affecting the granularity of the generated noise levels. | -| `beta_d` | FLOAT | Determines the overall noise level distribution, influencing the variance of the generated noise levels. | -| `beta_min` | FLOAT | Sets the minimum boundary for the noise level, ensuring the noise does not fall below a certain threshold. | -| `eps_s` | FLOAT | Adjusts the starting epsilon value, fine-tuning the initial noise level in the diffusion process. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `steps` | Specifies the number of steps in the diffusion process, affecting the granularity of the generated noise levels. | INT | +| `beta_d` | Determines the overall noise level distribution, influencing the variance of the generated noise levels. | FLOAT | +| `beta_min` | Sets the minimum boundary for the noise level, ensuring the noise does not fall below a certain threshold. | FLOAT | +| `eps_s` | Adjusts the starting epsilon value, fine-tuning the initial noise level in the diffusion process. | FLOAT | ## Outputs -| Parameter | Data Type | Description | -|-------------|-------------|-----------------------------------------------------------------------------------------------| -| `sigmas` | SIGMAS | A sequence of noise levels (sigmas) generated based on the VP scheduling method, used to guide the denoising process in diffusion models. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `sigmas` | A sequence of noise levels (sigmas) generated based on the VP scheduling method, used to guide the denoising process in diffusion models. | SIGMAS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VPScheduler/en.md) diff --git a/built-in-nodes/Veo3FirstLastFrameNode.mdx b/built-in-nodes/Veo3FirstLastFrameNode.mdx index 5afec7b62..96bdc6b7b 100644 --- a/built-in-nodes/Veo3FirstLastFrameNode.mdx +++ b/built-in-nodes/Veo3FirstLastFrameNode.mdx @@ -5,32 +5,32 @@ sidebarTitle: "Veo3FirstLastFrameNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md) - The Veo3FirstLastFrameNode uses Google's Veo 3 model to generate a video based on a text prompt, with a provided first and last frame that define the start and end of the video sequence. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | N/A | Text description of the video (default: empty string). | -| `negative_prompt` | STRING | No | N/A | Negative text prompt to guide what to avoid in the video (default: empty string). | -| `resolution` | COMBO | Yes | `"720p"`
`"1080p"`
`"4k"` | The resolution of the output video. | -| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"` | Aspect ratio of the output video (default: "16:9"). | -| `duration` | INT | No | 4 to 8 | Duration of the output video in seconds (default: 8, step: 2). | -| `seed` | INT | No | 0 to 4294967295 | Seed for video generation (default: 0). | -| `first_frame` | IMAGE | Yes | N/A | The start frame for the video. | -| `last_frame` | IMAGE | Yes | N/A | The end frame for the video. | -| `model` | COMBO | No | `"veo-3.1-generate"`
`"veo-3.1-fast-generate"`
`"veo-3.1-lite"` | The specific Veo 3 model to use for generation (default: "veo-3.1-generate"). | -| `generate_audio` | BOOLEAN | No | N/A | Generate audio for the video (default: True). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text description of the video (default: empty string). | STRING | Yes | N/A | +| `negative_prompt` | Negative text prompt to guide what to avoid in the video (default: empty string). | STRING | No | N/A | +| `resolution` | The resolution of the output video. | COMBO | Yes | `"720p"`
`"1080p"`
`"4k"` | +| `aspect_ratio` | Aspect ratio of the output video (default: "16:9"). | COMBO | No | `"16:9"`
`"9:16"` | +| `duration` | Duration of the output video in seconds (default: 8, step: 2). | INT | No | 4 to 8 | +| `seed` | Seed for video generation (default: 0). | INT | No | 0 to 4294967295 | +| `first_frame` | The start frame for the video. | IMAGE | Yes | N/A | +| `last_frame` | The end frame for the video. | IMAGE | Yes | N/A | +| `model` | The specific Veo 3 model to use for generation (default: "veo-3.1-generate"). | COMBO | No | `"veo-3.1-generate"`
`"veo-3.1-fast-generate"`
`"veo-3.1-lite"` | +| `generate_audio` | Generate audio for the video (default: True). | BOOLEAN | No | N/A | **Note:** The `veo-3.1-lite` model does not support 4K resolution. If you select `veo-3.1-lite` and `4k` resolution, an error will occur. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md) --- **Source fingerprint (SHA-256):** `63d2cf6b636bff6e8bc4efc8b795cb63f6cd775e040323e290986266029109b3` diff --git a/built-in-nodes/Veo3VideoGenerationNode.mdx b/built-in-nodes/Veo3VideoGenerationNode.mdx index 60b1bb857..3b29700b6 100644 --- a/built-in-nodes/Veo3VideoGenerationNode.mdx +++ b/built-in-nodes/Veo3VideoGenerationNode.mdx @@ -5,33 +5,33 @@ sidebarTitle: "Veo3VideoGenerationNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md) - Generates videos from text prompts using Google's Veo 3 API. This node supports multiple Veo 3 models, including fast and lite variants, and allows you to specify video resolution, duration, and audio generation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Text description of the video (default: "") | -| `aspect_ratio` | COMBO | Yes | "16:9"
"9:16" | Aspect ratio of the output video (default: "16:9") | -| `resolution` | COMBO | No | "720p"
"1080p"
"4k" | Output video resolution. 4K is not available for veo-3.1-lite and veo-3.0 models. (default: "720p") | -| `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid in the video (default: "") | -| `duration_seconds` | INT | No | 4-8 | Duration of the output video in seconds, in steps of 2 (default: 8) | -| `enhance_prompt` | BOOLEAN | No | - | This parameter is deprecated and ignored. (default: True) | -| `person_generation` | COMBO | No | "ALLOW"
"BLOCK" | Whether to allow generating people in the video (default: "ALLOW") | -| `seed` | INT | No | 0-4294967295 | Seed for video generation (0 for random) (default: 0) | -| `image` | IMAGE | No | - | Optional reference image to guide video generation | -| `model` | COMBO | No | "veo-3.1-generate"
"veo-3.1-fast-generate"
"veo-3.1-lite"
"veo-3.0-generate-001"
"veo-3.0-fast-generate-001" | Veo 3 model to use for video generation (default: "veo-3.0-generate-001") | -| `generate_audio` | BOOLEAN | No | - | Generate audio for the video. Supported by all Veo 3 models. (default: False) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text description of the video (default: "") | STRING | Yes | - | +| `aspect_ratio` | Aspect ratio of the output video (default: "16:9") | COMBO | Yes | "16:9"
"9:16" | +| `resolution` | Output video resolution. 4K is not available for veo-3.1-lite and veo-3.0 models. (default: "720p") | COMBO | No | "720p"
"1080p"
"4k" | +| `negative_prompt` | Negative text prompt to guide what to avoid in the video (default: "") | STRING | No | - | +| `duration_seconds` | Duration of the output video in seconds, in steps of 2 (default: 8) | INT | No | 4-8 | +| `enhance_prompt` | This parameter is deprecated and ignored. (default: True) | BOOLEAN | No | - | +| `person_generation` | Whether to allow generating people in the video (default: "ALLOW") | COMBO | No | "ALLOW"
"BLOCK" | +| `seed` | Seed for video generation (0 for random) (default: 0) | INT | No | 0-4294967295 | +| `image` | Optional reference image to guide video generation | IMAGE | No | - | +| `model` | Veo 3 model to use for video generation (default: "veo-3.0-generate-001") | COMBO | No | "veo-3.1-generate"
"veo-3.1-fast-generate"
"veo-3.1-lite"
"veo-3.0-generate-001"
"veo-3.0-fast-generate-001" | +| `generate_audio` | Generate audio for the video. Supported by all Veo 3 models. (default: False) | BOOLEAN | No | - | **Note:** The `enhance_prompt` parameter is deprecated and its value is ignored. The node always enhances the prompt internally. Additionally, the `resolution` parameter is only applied when using a veo-3.1 model; it is ignored for veo-3.0 models. If you select "4k" resolution with a veo-3.1-lite or veo-3.0 model, the node will raise an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md) --- **Source fingerprint (SHA-256):** `d19071ba853a846c797bc88d4a803357563f144ea9071fc79fc4203ea40f1a81` diff --git a/built-in-nodes/VeoVideoGenerationNode.mdx b/built-in-nodes/VeoVideoGenerationNode.mdx index c0c7e94ea..b83640ec6 100644 --- a/built-in-nodes/VeoVideoGenerationNode.mdx +++ b/built-in-nodes/VeoVideoGenerationNode.mdx @@ -5,31 +5,31 @@ sidebarTitle: "VeoVideoGenerationNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md) - Generates videos from text prompts using Google's Veo API. This node can create videos from text descriptions and optional image inputs, with control over parameters like aspect ratio, duration, and more. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Text description of the video (default: empty) | -| `aspect_ratio` | COMBO | Yes | "16:9"
"9:16" | Aspect ratio of the output video (default: "16:9") | -| `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid in the video (default: empty) | -| `duration_seconds` | INT | No | 5-8 | Duration of the output video in seconds (default: 5) | -| `enhance_prompt` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True). This is an advanced parameter. | -| `person_generation` | COMBO | No | "ALLOW"
"BLOCK" | Whether to allow generating people in the video (default: "ALLOW"). This is an advanced parameter. | -| `seed` | INT | No | 0-4294967295 | Seed for video generation (0 for random) (default: 0). This is an advanced parameter. | -| `image` | IMAGE | No | - | Optional reference image to guide video generation | -| `model` | COMBO | No | "veo-2.0-generate-001"
"veo-3.1-generate"
"veo-3.1-fast-generate"
"veo-3.1-lite"
"veo-3.0-generate-001"
"veo-3.0-fast-generate-001" | Veo model to use for video generation (default: "veo-2.0-generate-001") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `prompt` | Text description of the video (default: empty) | STRING | Yes | - | +| `aspect_ratio` | Aspect ratio of the output video (default: "16:9") | COMBO | Yes | "16:9"
"9:16" | +| `negative_prompt` | Negative text prompt to guide what to avoid in the video (default: empty) | STRING | No | - | +| `duration_seconds` | Duration of the output video in seconds (default: 5) | INT | No | 5-8 | +| `enhance_prompt` | Whether to enhance the prompt with AI assistance (default: True). This is an advanced parameter. | BOOLEAN | No | - | +| `person_generation` | Whether to allow generating people in the video (default: "ALLOW"). This is an advanced parameter. | COMBO | No | "ALLOW"
"BLOCK" | +| `seed` | Seed for video generation (0 for random) (default: 0). This is an advanced parameter. | INT | No | 0-4294967295 | +| `image` | Optional reference image to guide video generation | IMAGE | No | - | +| `model` | Veo model to use for video generation (default: "veo-2.0-generate-001") | COMBO | No | "veo-2.0-generate-001"
"veo-3.1-generate"
"veo-3.1-fast-generate"
"veo-3.1-lite"
"veo-3.0-generate-001"
"veo-3.0-fast-generate-001" | **Note:** The `generate_audio` parameter is only available for Veo 3.0 and Veo 3.1 models and is automatically handled by the node based on the selected model. When using Veo 3.0 or Veo 3.1 models, the `enhance_prompt` parameter is forced to True. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md) --- **Source fingerprint (SHA-256):** `abb403ceddb16511988e4ac98ae126c7d6de3bf2f25789189fc05d72f475ca95` diff --git a/built-in-nodes/Video Slice.mdx b/built-in-nodes/Video Slice.mdx index 85f77c181..6e85f0c9e 100644 --- a/built-in-nodes/Video Slice.mdx +++ b/built-in-nodes/Video Slice.mdx @@ -5,24 +5,24 @@ sidebarTitle: "Video Slice" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Video Slice/en.md) - The Video Slice node allows you to extract a specific segment from a video. You can define a start time and a duration to trim the video, or simply skip the beginning frames. If the requested duration is longer than the remaining video, the node can either return what's available or raise an error. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | - | The input video to be sliced. | -| `start_time` | FLOAT | No | -1e5 to 1e5 | Start time in seconds (default: 0.0). | -| `duration` | FLOAT | No | 0.0 and above | Duration in seconds, or 0 for unlimited duration (default: 0.0). | -| `strict_duration` | BOOLEAN | No | - | If True, when the specified duration is not possible, an error will be raised (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | The input video to be sliced. | VIDEO | Yes | - | +| `start_time` | Start time in seconds (default: 0.0). | FLOAT | No | -1e5 to 1e5 | +| `duration` | Duration in seconds, or 0 for unlimited duration (default: 0.0). | FLOAT | No | 0.0 and above | +| `strict_duration` | If True, when the specified duration is not possible, an error will be raised (default: False). | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The trimmed video segment. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The trimmed video segment. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Video Slice/en.md) --- **Source fingerprint (SHA-256):** `077fadd65af9d546155d2bbb736148ce2c87810a16a76d9259b38f1b6ab6a1a3` diff --git a/built-in-nodes/VideoLinearCFGGuidance.mdx b/built-in-nodes/VideoLinearCFGGuidance.mdx index 195d5b0e1..6872c3b5d 100644 --- a/built-in-nodes/VideoLinearCFGGuidance.mdx +++ b/built-in-nodes/VideoLinearCFGGuidance.mdx @@ -5,18 +5,19 @@ sidebarTitle: "VideoLinearCFGGuidance" icon: "circle" mode: wide --- - The VideoLinearCFGGuidance node applies a linear conditioning guidance scale to a video model, adjusting the influence of conditioned and unconditioned components over a specified range. This enables dynamic control over the generation process, allowing for fine-tuning of the model's output based on the desired level of conditioning. ## Inputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model` | MODEL | The model parameter represents the video model to which the linear CFG guidance will be applied. It is crucial for defining the base model that will be modified with the guidance scale. | -| `min_cfg` | `FLOAT` | The min_cfg parameter specifies the minimum conditioning guidance scale to be applied, serving as the starting point for the linear scale adjustment. It plays a key role in determining the lower bound of the guidance scale, influencing the model's output. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | The model parameter represents the video model to which the linear CFG guidance will be applied. It is crucial for defining the base model that will be modified with the guidance scale. | MODEL | +| `min_cfg` | The min_cfg parameter specifies the minimum conditioning guidance scale to be applied, serving as the starting point for the linear scale adjustment. It plays a key role in determining the lower bound of the guidance scale, influencing the model's output. | `FLOAT` | ## Outputs -| Parameter | Data Type | Description | -|-----------|-------------|-------------| -| `model` | MODEL | The output is a modified version of the input model, with the linear CFG guidance scale applied. This adjusted model is capable of generating outputs with varying degrees of conditioning, based on the specified guidance scale. | +| Parameter | Description | Data Type | +| --- | --- | --- | +| `model` | The output is a modified version of the input model, with the linear CFG guidance scale applied. This adjusted model is capable of generating outputs with varying degrees of conditioning, based on the specified guidance scale. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoLinearCFGGuidance/en.md) diff --git a/built-in-nodes/VideoTriangleCFGGuidance.mdx b/built-in-nodes/VideoTriangleCFGGuidance.mdx index c53c779d4..cbffa8115 100644 --- a/built-in-nodes/VideoTriangleCFGGuidance.mdx +++ b/built-in-nodes/VideoTriangleCFGGuidance.mdx @@ -5,22 +5,22 @@ sidebarTitle: "VideoTriangleCFGGuidance" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoTriangleCFGGuidance/en.md) - The VideoTriangleCFGGuidance node applies a triangular classifier-free guidance scaling pattern to video models. It modifies the conditioning scale over time using a triangular wave function that oscillates between the minimum CFG value and the original conditioning scale. This creates a dynamic guidance pattern that can help improve video generation consistency and quality. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The video model to apply triangular CFG guidance to | -| `min_cfg` | FLOAT | Yes | 0.0 - 100.0 | The minimum CFG scale value for the triangular pattern (default: 1.0) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The video model to apply triangular CFG guidance to | MODEL | Yes | - | +| `min_cfg` | The minimum CFG scale value for the triangular pattern (default: 1.0) | FLOAT | Yes | 0.0 - 100.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The modified model with triangular CFG guidance applied | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The modified model with triangular CFG guidance applied | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoTriangleCFGGuidance/en.md) --- **Source fingerprint (SHA-256):** `10b3ad8dcfe5e44f131b2e943e6645899102f406501418906cfe06ac2d21d433` diff --git a/built-in-nodes/Vidu2ImageToVideoNode.mdx b/built-in-nodes/Vidu2ImageToVideoNode.mdx index d127baefa..0128627b9 100644 --- a/built-in-nodes/Vidu2ImageToVideoNode.mdx +++ b/built-in-nodes/Vidu2ImageToVideoNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "Vidu2ImageToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/en.md) - The Vidu2 Image-to-Video Generation node creates a video sequence starting from a single input image. It uses a specified Vidu2 model to animate the scene based on an optional text prompt, controlling the video's length, resolution, and the intensity of motion. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` | The Vidu2 model to use for video generation. Different models offer varying speed and quality trade-offs. | -| `image` | IMAGE | Yes | - | An image to be used as the start frame of the generated video. Only one image is allowed. | -| `prompt` | STRING | No | - | An optional text prompt for video generation (max 2000 characters). Default is an empty string. | -| `duration` | INT | Yes | 1 to 10 | The length of the generated video in seconds. Default is 5. | -| `seed` | INT | No | 0 to 2147483647 | A seed value for random number generation to ensure reproducible results. Default is 1. | -| `resolution` | COMBO | Yes | `"720p"`
`"1080p"` | The output resolution of the generated video. This parameter is advanced. | -| `movement_amplitude` | COMBO | Yes | `"auto"`
`"small"`
`"medium"`
`"large"` | The movement amplitude of objects in the frame. This parameter is advanced. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The Vidu2 model to use for video generation. Different models offer varying speed and quality trade-offs. | COMBO | Yes | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` | +| `image` | An image to be used as the start frame of the generated video. Only one image is allowed. | IMAGE | Yes | - | +| `prompt` | An optional text prompt for video generation (max 2000 characters). Default is an empty string. | STRING | No | - | +| `duration` | The length of the generated video in seconds. Default is 5. | INT | Yes | 1 to 10 | +| `seed` | A seed value for random number generation to ensure reproducible results. Default is 1. | INT | No | 0 to 2147483647 | +| `resolution` | The output resolution of the generated video. This parameter is advanced. | COMBO | Yes | `"720p"`
`"1080p"` | +| `movement_amplitude` | The movement amplitude of objects in the frame. This parameter is advanced. | COMBO | Yes | `"auto"`
`"small"`
`"medium"`
`"large"` | **Constraints:** @@ -29,9 +27,11 @@ The Vidu2 Image-to-Video Generation node creates a video sequence starting from ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `5311b64380bf089b846d5ac0c32330e021b79754cf2f3cac41f71ca1da3ffdda` diff --git a/built-in-nodes/Vidu2ReferenceVideoNode.mdx b/built-in-nodes/Vidu2ReferenceVideoNode.mdx index 569e64ee4..a21b835cf 100644 --- a/built-in-nodes/Vidu2ReferenceVideoNode.mdx +++ b/built-in-nodes/Vidu2ReferenceVideoNode.mdx @@ -5,23 +5,21 @@ sidebarTitle: "Vidu2ReferenceVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md) - The Vidu2 Reference-to-Video Generation node creates a video from a text prompt and multiple reference images. You can define up to seven subjects, each with its own set of reference images, and reference them in the prompt using `@subject{subject_id}`. The node generates a video with configurable duration, aspect ratio, and movement. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"viduq2"` | The AI model to use for video generation. | -| `subjects` | AUTOGROW | Yes | N/A | For each subject, provide up to 3 reference images (7 images total across all subjects). Reference them in prompts via `@subject{subject_id}`. | -| `prompt` | STRING | Yes | N/A | The text description used to guide the video generation. When the `audio` parameter is enabled, the video will include generated speech and background music based on this prompt. | -| `audio` | BOOLEAN | No | N/A | When enabled, the video will contain generated speech and background music based on the prompt (default: `False`). | -| `duration` | INT | No | 1 to 10 | The length of the generated video in seconds (default: `5`). | -| `seed` | INT | No | 0 to 2147483647 | A number used to control the randomness of the generation for reproducible results (default: `1`). | -| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"4:3"`
`"3:4"`
`"1:1"` | The shape of the video frame. | -| `resolution` | COMBO | No | `"720p"`
`"1080p"` | The pixel resolution of the output video (default: `"720p"`). | -| `movement_amplitude` | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | Controls the movement amplitude of objects in the frame (default: `"auto"`). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model to use for video generation. | COMBO | Yes | `"viduq2"` | +| `subjects` | For each subject, provide up to 3 reference images (7 images total across all subjects). Reference them in prompts via `@subject{subject_id}`. | AUTOGROW | Yes | N/A | +| `prompt` | The text description used to guide the video generation. When the `audio` parameter is enabled, the video will include generated speech and background music based on this prompt. | STRING | Yes | N/A | +| `audio` | When enabled, the video will contain generated speech and background music based on the prompt (default: `False`). | BOOLEAN | No | N/A | +| `duration` | The length of the generated video in seconds (default: `5`). | INT | No | 1 to 10 | +| `seed` | A number used to control the randomness of the generation for reproducible results (default: `1`). | INT | No | 0 to 2147483647 | +| `aspect_ratio` | The shape of the video frame. | COMBO | No | `"16:9"`
`"9:16"`
`"4:3"`
`"3:4"`
`"1:1"` | +| `resolution` | The pixel resolution of the output video (default: `"720p"`). | COMBO | No | `"720p"`
`"1080p"` | +| `movement_amplitude` | Controls the movement amplitude of objects in the frame (default: `"auto"`). | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | **Constraints:** @@ -33,9 +31,11 @@ The Vidu2 Reference-to-Video Generation node creates a video from a text prompt ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md) --- **Source fingerprint (SHA-256):** `73366d1ae9d64428141a7f9de3f9632f12e41918f85771a9a41619564c88ed38` diff --git a/built-in-nodes/Vidu2StartEndToVideoNode.mdx b/built-in-nodes/Vidu2StartEndToVideoNode.mdx index 3ed2e2f20..c9b8ef88c 100644 --- a/built-in-nodes/Vidu2StartEndToVideoNode.mdx +++ b/built-in-nodes/Vidu2StartEndToVideoNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "Vidu2StartEndToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md) - This node generates a video by interpolating between a provided start frame and an end frame, guided by a text prompt. It uses a specified Vidu model to create a smooth transition between the two images over a set duration. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` | The Vidu model to use for video generation. | -| `first_frame` | IMAGE | Yes | - | The starting image for the video sequence. Only a single image is allowed. | -| `end_frame` | IMAGE | Yes | - | The ending image for the video sequence. Only a single image is allowed. | -| `prompt` | STRING | Yes | - | A text description guiding the video generation (maximum 2000 characters). | -| `duration` | INT | No | 2 to 8 | The length of the generated video in seconds (default: 5). | -| `seed` | INT | No | 0 to 2147483647 | A number used to initialize the random generation for reproducible results (default: 1). | -| `resolution` | COMBO | No | `"720p"`
`"1080p"` | The output resolution of the generated video. | -| `movement_amplitude` | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | The movement amplitude of objects in the frame. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The Vidu model to use for video generation. | COMBO | Yes | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` | +| `first_frame` | The starting image for the video sequence. Only a single image is allowed. | IMAGE | Yes | - | +| `end_frame` | The ending image for the video sequence. Only a single image is allowed. | IMAGE | Yes | - | +| `prompt` | A text description guiding the video generation (maximum 2000 characters). | STRING | Yes | - | +| `duration` | The length of the generated video in seconds (default: 5). | INT | No | 2 to 8 | +| `seed` | A number used to initialize the random generation for reproducible results (default: 1). | INT | No | 0 to 2147483647 | +| `resolution` | The output resolution of the generated video. | COMBO | No | `"720p"`
`"1080p"` | +| `movement_amplitude` | The movement amplitude of objects in the frame. | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | **Note:** The `first_frame` and `end_frame` images must have similar aspect ratios. The node will validate that their aspect ratios are within a relative range of 0.8 to 1.25. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `4d4caf53387132c420fe0bb0eea581e6784bdc59243607c6440d6548f70f859b` diff --git a/built-in-nodes/Vidu2TextToVideoNode.mdx b/built-in-nodes/Vidu2TextToVideoNode.mdx index e990c7b51..67cd105ed 100644 --- a/built-in-nodes/Vidu2TextToVideoNode.mdx +++ b/built-in-nodes/Vidu2TextToVideoNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "Vidu2TextToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/en.md) - The Vidu2 Text-to-Video Generation node creates a video from a text description. It connects to an external API to generate video content based on your prompt, allowing you to control the video's length, visual style, and format. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"viduq2"` | The AI model to use for video generation. Currently, only one model is available. | -| `prompt` | STRING | Yes | - | A textual description for video generation, with a maximum length of 2000 characters. | -| `duration` | INT | No | 1 to 10 | The length of the generated video in seconds. The value can be adjusted using a slider (default: 5). | -| `seed` | INT | No | 0 to 2147483647 | A number used to control the randomness of the generation, allowing for reproducible results. It can be controlled after generation (default: 1). | -| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | The proportional relationship between the video's width and height. | -| `resolution` | COMBO | No | `"720p"`
`"1080p"` | The pixel dimensions of the generated video. This is an advanced parameter. | -| `background_music` | BOOLEAN | No | - | Whether to add background music to the generated video (default: False). This is an advanced parameter. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model to use for video generation. Currently, only one model is available. | COMBO | Yes | `"viduq2"` | +| `prompt` | A textual description for video generation, with a maximum length of 2000 characters. | STRING | Yes | - | +| `duration` | The length of the generated video in seconds. The value can be adjusted using a slider (default: 5). | INT | No | 1 to 10 | +| `seed` | A number used to control the randomness of the generation, allowing for reproducible results. It can be controlled after generation (default: 1). | INT | No | 0 to 2147483647 | +| `aspect_ratio` | The proportional relationship between the video's width and height. | COMBO | No | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | +| `resolution` | The pixel dimensions of the generated video. This is an advanced parameter. | COMBO | No | `"720p"`
`"1080p"` | +| `background_music` | Whether to add background music to the generated video (default: False). This is an advanced parameter. | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `eec93de5d781474f919001a4d78525d80478852424506fae245f445d1ef3b0ee` diff --git a/built-in-nodes/Vidu3ImageToVideoNode.mdx b/built-in-nodes/Vidu3ImageToVideoNode.mdx index 389bae1b0..8e4d371b5 100644 --- a/built-in-nodes/Vidu3ImageToVideoNode.mdx +++ b/built-in-nodes/Vidu3ImageToVideoNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "Vidu3ImageToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md) - The Vidu Q3 Image-to-Video Generation node creates a video sequence starting from an input image. It uses a Vidu Q3 model to animate the image, optionally guided by a text prompt, and outputs a video file. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"viduq3-pro"`
`"viduq3-turbo"` | Model to use for video generation. | -| `model.resolution` | COMBO | Yes | `"720p"`
`"1080p"`
`"2K"` (viduq3-pro only) | Resolution of the output video. The available options depend on the selected model. | -| `model.duration` | INT | Yes | 1 to 16 | Duration of the output video in seconds (default: 5). | -| `model.audio` | BOOLEAN | Yes | `True` / `False` | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). | -| `image` | IMAGE | Yes | - | An image to be used as the start frame of the generated video. | -| `prompt` | STRING | No | - | An optional text prompt for video generation (max 2000 characters) (default: empty). | -| `seed` | INT | No | 0 to 2147483647 | A seed value for controlling the randomness of the generation (default: 1). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Model to use for video generation. | COMBO | Yes | `"viduq3-pro"`
`"viduq3-turbo"` | +| `model.resolution` | Resolution of the output video. The available options depend on the selected model. | COMBO | Yes | `"720p"`
`"1080p"`
`"2K"` (viduq3-pro only) | +| `model.duration` | Duration of the output video in seconds (default: 5). | INT | Yes | 1 to 16 | +| `model.audio` | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). | BOOLEAN | Yes | `True` / `False` | +| `image` | An image to be used as the start frame of the generated video. | IMAGE | Yes | - | +| `prompt` | An optional text prompt for video generation (max 2000 characters) (default: empty). | STRING | No | - | +| `seed` | A seed value for controlling the randomness of the generation (default: 1). | INT | No | 0 to 2147483647 | **Note:** The `image` must have an aspect ratio between 1:4 and 4:1 (portrait to landscape). The `prompt` is optional but cannot exceed 2000 characters. The `model.resolution` options depend on the selected `model`: `"viduq3-pro"` supports `"720p"`, `"1080p"`, and `"2K"`; `"viduq3-turbo"` supports `"720p"` and `"1080p"`. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `5081dcbad3e9203c7a1b5ddc0d041d51e1961a2e0a0672c2e14cba2f839f562d` diff --git a/built-in-nodes/Vidu3StartEndToVideoNode.mdx b/built-in-nodes/Vidu3StartEndToVideoNode.mdx index 92332262e..85eafed3d 100644 --- a/built-in-nodes/Vidu3StartEndToVideoNode.mdx +++ b/built-in-nodes/Vidu3StartEndToVideoNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "Vidu3StartEndToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md) - This node generates a video by interpolating between a provided start frame and an end frame, guided by a text prompt. It uses the Vidu Q3 model to create a seamless transition between the two images, producing a video of a specified duration and resolution. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"viduq3-pro"`
`"viduq3-turbo"` | The model to use for video generation. Selecting an option reveals additional configuration parameters for `resolution`, `duration`, and `audio`. | -| `model.resolution` | COMBO | Yes | `"720p"`
`"1080p"` | Resolution of the output video. This parameter is revealed after selecting a `model`. | -| `model.duration` | INT | Yes | 1 to 16 | Duration of the output video in seconds (default: 5). This parameter is revealed after selecting a `model`. | -| `model.audio` | BOOLEAN | Yes | `True` / `False` | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). This parameter is revealed after selecting a `model`. | -| `first_frame` | IMAGE | Yes | - | The starting image for the video sequence. | -| `end_frame` | IMAGE | Yes | - | The ending image for the video sequence. | -| `prompt` | STRING | Yes | - | A text description guiding the video generation (maximum 2000 characters). | -| `seed` | INT | No | 0 to 2147483647 | A seed value for controlling the randomness of the generation (default: 1). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to use for video generation. Selecting an option reveals additional configuration parameters for `resolution`, `duration`, and `audio`. | COMBO | Yes | `"viduq3-pro"`
`"viduq3-turbo"` | +| `model.resolution` | Resolution of the output video. This parameter is revealed after selecting a `model`. | COMBO | Yes | `"720p"`
`"1080p"` | +| `model.duration` | Duration of the output video in seconds (default: 5). This parameter is revealed after selecting a `model`. | INT | Yes | 1 to 16 | +| `model.audio` | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). This parameter is revealed after selecting a `model`. | BOOLEAN | Yes | `True` / `False` | +| `first_frame` | The starting image for the video sequence. | IMAGE | Yes | - | +| `end_frame` | The ending image for the video sequence. | IMAGE | Yes | - | +| `prompt` | A text description guiding the video generation (maximum 2000 characters). | STRING | Yes | - | +| `seed` | A seed value for controlling the randomness of the generation (default: 1). | INT | No | 0 to 2147483647 | **Note:** The `first_frame` and `end_frame` images should have similar aspect ratios for optimal results. The aspect ratio of the two images must be within 80% to 125% of each other (a relative closeness between 0.8 and 1.25). ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `a3a1befd61a011ccc9912972d07506c2e851ca94cda3f83fcc1faa8a1dc3905c` diff --git a/built-in-nodes/Vidu3TextToVideoNode.mdx b/built-in-nodes/Vidu3TextToVideoNode.mdx index 7799bc24d..f01a50f12 100644 --- a/built-in-nodes/Vidu3TextToVideoNode.mdx +++ b/built-in-nodes/Vidu3TextToVideoNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "Vidu3TextToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md) - The Vidu Q3 Text-to-Video Generation node creates a video from a text description. It uses the Vidu Q3 Pro or Q3 Turbo model to generate video content based on your prompt, allowing you to control the video's length, resolution, aspect ratio, and whether it includes audio. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"viduq3-pro"`
`"viduq3-turbo"` | Model to use for video generation. Selecting a model reveals additional configuration parameters for aspect ratio, resolution, duration, and audio. | -| `model.aspect_ratio` | COMBO | Yes* | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | The aspect ratio of the output video. This parameter is revealed when a `model` is selected. | -| `model.resolution` | COMBO | Yes* | `"720p"`
`"1080p"` | Resolution of the output video. This parameter is revealed when a `model` is selected. | -| `model.duration` | INT | Yes* | 1 to 16 | Duration of the output video in seconds (default: 5). This parameter is revealed when a `model` is selected. | -| `model.audio` | BOOLEAN | Yes* | True/False | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). This parameter is revealed when a `model` is selected. | -| `prompt` | STRING | Yes | N/A | A textual description for video generation, with a maximum length of 2000 characters. | -| `seed` | INT | No | 0 to 2147483647 | A seed value for controlling the randomness of the generation (default: 1). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Model to use for video generation. Selecting a model reveals additional configuration parameters for aspect ratio, resolution, duration, and audio. | COMBO | Yes | `"viduq3-pro"`
`"viduq3-turbo"` | +| `model.aspect_ratio` | The aspect ratio of the output video. This parameter is revealed when a `model` is selected. | COMBO | Yes* | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | +| `model.resolution` | Resolution of the output video. This parameter is revealed when a `model` is selected. | COMBO | Yes* | `"720p"`
`"1080p"` | +| `model.duration` | Duration of the output video in seconds (default: 5). This parameter is revealed when a `model` is selected. | INT | Yes* | 1 to 16 | +| `model.audio` | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). This parameter is revealed when a `model` is selected. | BOOLEAN | Yes* | True/False | +| `prompt` | A textual description for video generation, with a maximum length of 2000 characters. | STRING | Yes | N/A | +| `seed` | A seed value for controlling the randomness of the generation (default: 1). | INT | No | 0 to 2147483647 | *Note: The parameters `aspect_ratio`, `resolution`, `duration`, and `audio` are required once a `model` is selected, as they are part of its configuration. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `video` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `video` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `d135d453159d113f9198b7510838c5ce5feefbf3cb7b318a55df95e6d26aa7a9` diff --git a/built-in-nodes/ViduExtendVideoNode.mdx b/built-in-nodes/ViduExtendVideoNode.mdx index 8db21098e..fa5e1781d 100644 --- a/built-in-nodes/ViduExtendVideoNode.mdx +++ b/built-in-nodes/ViduExtendVideoNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "ViduExtendVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md) - The ViduExtendVideoNode generates additional frames to extend the length of an existing video. It uses a specified AI model to create a seamless continuation based on the source video and an optional text prompt. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"viduq2-pro"`
`"viduq2-turbo"` | The AI model to use for video extension. Selecting a model reveals its specific duration and resolution settings. | -| `model.duration` | INT | Yes | 1 to 7 | The duration of the extended video in seconds (default: 4). This setting appears after selecting a model. | -| `model.resolution` | COMBO | Yes | `"720p"`
`"1080p"` | The resolution of the output video. This setting appears after selecting a model. | -| `video` | VIDEO | Yes | - | The source video to extend. | -| `prompt` | STRING | No | - | An optional text prompt to guide the content of the extended video (max 2000 characters, default: empty). | -| `seed` | INT | No | 0 to 2147483647 | A seed value for controlling the randomness of the generation (default: 1). | -| `end_frame` | IMAGE | No | - | An optional image to use as the target end frame for the extension. If provided, its aspect ratio must be between 1:4 and 4:1, and its dimensions must be at least 128x128 pixels. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model to use for video extension. Selecting a model reveals its specific duration and resolution settings. | COMBO | Yes | `"viduq2-pro"`
`"viduq2-turbo"` | +| `model.duration` | The duration of the extended video in seconds (default: 4). This setting appears after selecting a model. | INT | Yes | 1 to 7 | +| `model.resolution` | The resolution of the output video. This setting appears after selecting a model. | COMBO | Yes | `"720p"`
`"1080p"` | +| `video` | The source video to extend. | VIDEO | Yes | - | +| `prompt` | An optional text prompt to guide the content of the extended video (max 2000 characters, default: empty). | STRING | No | - | +| `seed` | A seed value for controlling the randomness of the generation (default: 1). | INT | No | 0 to 2147483647 | +| `end_frame` | An optional image to use as the target end frame for the extension. If provided, its aspect ratio must be between 1:4 and 4:1, and its dimensions must be at least 128x128 pixels. | IMAGE | No | - | **Note:** The source `video` must have a duration between 4 and 55 seconds. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The newly generated video file containing the extended footage. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The newly generated video file containing the extended footage. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md) --- **Source fingerprint (SHA-256):** `067eda95bf7738fec1b68fb496b6309dab5f56c57ab4d7d92a3a5e50239c17c8` diff --git a/built-in-nodes/ViduImageToVideoNode.mdx b/built-in-nodes/ViduImageToVideoNode.mdx index 24715f559..2cb980005 100644 --- a/built-in-nodes/ViduImageToVideoNode.mdx +++ b/built-in-nodes/ViduImageToVideoNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "ViduImageToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md) - The Vidu Image To Video Generation node creates a short video from a starting image and an optional text description. It uses an AI model to generate video content that continues from the provided image frame, and returns the resulting video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `viduq1` | Model name (default: viduq1) | -| `image` | IMAGE | Yes | - | An image to be used as the start frame of the generated video | -| `prompt` | STRING | No | - | A textual description for video generation (default: empty) | -| `duration` | INT | No | 5-5 | Duration of the output video in seconds (default: 5, fixed at 5 seconds) | -| `seed` | INT | No | 0-2147483647 | Seed for video generation (0 for random) (default: 0) | -| `resolution` | COMBO | No | `1080p` | Supported values may vary by model & duration (default: 1080p) | -| `movement_amplitude` | COMBO | No | `auto`
`small`
`medium`
`large` | The movement amplitude of objects in the frame (default: auto) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Model name (default: viduq1) | COMBO | Yes | `viduq1` | +| `image` | An image to be used as the start frame of the generated video | IMAGE | Yes | - | +| `prompt` | A textual description for video generation (default: empty) | STRING | No | - | +| `duration` | Duration of the output video in seconds (default: 5, fixed at 5 seconds) | INT | No | 5-5 | +| `seed` | Seed for video generation (0 for random) (default: 0) | INT | No | 0-2147483647 | +| `resolution` | Supported values may vary by model & duration (default: 1080p) | COMBO | No | `1080p` | +| `movement_amplitude` | The movement amplitude of objects in the frame (default: auto) | COMBO | No | `auto`
`small`
`medium`
`large` | **Constraints:** @@ -28,9 +26,11 @@ The Vidu Image To Video Generation node creates a short video from a starting im ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video output | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video output | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `2364ee527cbc37905e973ae1870499040eea4ed94ab8ed789d3c85af857f5488` diff --git a/built-in-nodes/ViduMultiFrameVideoNode.mdx b/built-in-nodes/ViduMultiFrameVideoNode.mdx index 1c5487963..d13723e82 100644 --- a/built-in-nodes/ViduMultiFrameVideoNode.mdx +++ b/built-in-nodes/ViduMultiFrameVideoNode.mdx @@ -5,19 +5,17 @@ sidebarTitle: "ViduMultiFrameVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md) - This node generates a video by creating transitions between multiple keyframes. It starts from an initial image and animates through a sequence of user-defined end images and prompts, producing a single video file as output. ## Inputs -| Parameter | Data Type | Required | Range | Description | -| :--- | :--- | :--- | :--- | :--- | -| `model` | COMBO | Yes | `"viduq2-pro"`
`"viduq2-turbo"` | The Vidu model to use for video generation. | -| `start_image` | IMAGE | Yes | - | The starting frame image. Aspect ratio must be between 1:4 and 4:1. | -| `seed` | INT | No | 0 to 2147483647 | A seed value for random number generation to ensure reproducible results (default: 1). | -| `resolution` | COMBO | Yes | `"720p"`
`"1080p"` | The resolution of the output video. | -| `frames` | DYNAMICCOMBO | Yes | `"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"` | Number of keyframe transitions (2-9). Selecting a value dynamically reveals the required inputs for each frame. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The Vidu model to use for video generation. | COMBO | Yes | `"viduq2-pro"`
`"viduq2-turbo"` | +| `start_image` | The starting frame image. Aspect ratio must be between 1:4 and 4:1. | IMAGE | Yes | - | +| `seed` | A seed value for random number generation to ensure reproducible results (default: 1). | INT | No | 0 to 2147483647 | +| `resolution` | The resolution of the output video. | COMBO | Yes | `"720p"`
`"1080p"` | +| `frames` | Number of keyframe transitions (2-9). Selecting a value dynamically reveals the required inputs for each frame. | DYNAMICCOMBO | Yes | `"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"` | **Frame Inputs (Dynamically Revealed):** When you select a value for `frames` (e.g., "3"), the node will show a corresponding set of required inputs for each transition. For each frame `i` from 1 to the selected number, you must provide: @@ -28,9 +26,11 @@ When you select a value for `frames` (e.g., "3"), the node will show a correspon ## Outputs -| Output Name | Data Type | Description | -| :--- | :--- | :--- | -| `output` | VIDEO | The generated video file containing all the animated transitions. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file containing all the animated transitions. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md) --- **Source fingerprint (SHA-256):** `06c3236589dd6067c5dd0a430e062686adb3e878542f8382e022a3fafe81507b` diff --git a/built-in-nodes/ViduReferenceVideoNode.mdx b/built-in-nodes/ViduReferenceVideoNode.mdx index 7235807fc..c598a4276 100644 --- a/built-in-nodes/ViduReferenceVideoNode.mdx +++ b/built-in-nodes/ViduReferenceVideoNode.mdx @@ -5,22 +5,20 @@ sidebarTitle: "ViduReferenceVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduReferenceVideoNode/en.md) - The Vidu Reference Video Node generates videos from multiple reference images and a text prompt. It uses AI models to create consistent video content based on the provided images and description. The node supports various video settings including duration, aspect ratio, resolution, and movement control. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"viduq1"` | Model name for video generation (default: "viduq1") | -| `images` | IMAGE | Yes | - | Images to use as references to generate a video with consistent subjects (maximum 7 images) | -| `prompt` | STRING | Yes | - | A textual description for video generation | -| `duration` | INT | No | 5-5 | Duration of the output video in seconds (default: 5) | -| `seed` | INT | No | 0-2147483647 | Seed for video generation (0 for random) (default: 0) | -| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"1:1"` | The aspect ratio of the output video | -| `resolution` | COMBO | No | `"1080p"` | Supported values may vary by model & duration (default: "1080p") | -| `movement_amplitude` | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | The movement amplitude of objects in the frame (default: "auto") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Model name for video generation (default: "viduq1") | COMBO | Yes | `"viduq1"` | +| `images` | Images to use as references to generate a video with consistent subjects (maximum 7 images) | IMAGE | Yes | - | +| `prompt` | A textual description for video generation | STRING | Yes | - | +| `duration` | Duration of the output video in seconds (default: 5) | INT | No | 5-5 | +| `seed` | Seed for video generation (0 for random) (default: 0) | INT | No | 0-2147483647 | +| `aspect_ratio` | The aspect ratio of the output video | COMBO | No | `"16:9"`
`"9:16"`
`"1:1"` | +| `resolution` | Supported values may vary by model & duration (default: "1080p") | COMBO | No | `"1080p"` | +| `movement_amplitude` | The movement amplitude of objects in the frame (default: "auto") | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | **Constraints and Limitations:** @@ -32,9 +30,11 @@ The Vidu Reference Video Node generates videos from multiple reference images an ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video based on the reference images and prompt | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video based on the reference images and prompt | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduReferenceVideoNode/en.md) --- **Source fingerprint (SHA-256):** `ac86287d93257105446a5af42efd7d7fc07738fb7fcd0b260b8049a98552f193` diff --git a/built-in-nodes/ViduStartEndToVideoNode.mdx b/built-in-nodes/ViduStartEndToVideoNode.mdx index 159db3358..e6787a685 100644 --- a/built-in-nodes/ViduStartEndToVideoNode.mdx +++ b/built-in-nodes/ViduStartEndToVideoNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "ViduStartEndToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md) - The Vidu Start End To Video Generation node creates a video by generating frames between a starting frame and an ending frame. It uses a text prompt to guide the video generation process and supports various video models with different resolution and movement settings. The node validates that the start and end frames have compatible aspect ratios before processing. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"viduq1"` | Model name | -| `first_frame` | IMAGE | Yes | - | Start frame | -| `end_frame` | IMAGE | Yes | - | End frame | -| `prompt` | STRING | No | - | A textual description for video generation | -| `duration` | INT | No | 5-5 | Duration of the output video in seconds (default: 5, fixed at 5 seconds) | -| `seed` | INT | No | 0-2147483647 | Seed for video generation (0 for random) (default: 0) | -| `resolution` | COMBO | No | `"1080p"` | Supported values may vary by model & duration (default: "1080p") | -| `movement_amplitude` | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | The movement amplitude of objects in the frame (default: "auto") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Model name | COMBO | Yes | `"viduq1"` | +| `first_frame` | Start frame | IMAGE | Yes | - | +| `end_frame` | End frame | IMAGE | Yes | - | +| `prompt` | A textual description for video generation | STRING | No | - | +| `duration` | Duration of the output video in seconds (default: 5, fixed at 5 seconds) | INT | No | 5-5 | +| `seed` | Seed for video generation (0 for random) (default: 0) | INT | No | 0-2147483647 | +| `resolution` | Supported values may vary by model & duration (default: "1080p") | COMBO | No | `"1080p"` | +| `movement_amplitude` | The movement amplitude of objects in the frame (default: "auto") | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | **Note:** The start and end frames must have compatible aspect ratios (validated with min_rel=0.8, max_rel=1.25 ratio tolerance). ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `bffb4d3e90b1c6a1a3a7cc864a44ab96bac0be90411be791f9ffb15b9a50c6b6` diff --git a/built-in-nodes/ViduTextToVideoNode.mdx b/built-in-nodes/ViduTextToVideoNode.mdx index 0a8fb78a6..a4bf6b124 100644 --- a/built-in-nodes/ViduTextToVideoNode.mdx +++ b/built-in-nodes/ViduTextToVideoNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "ViduTextToVideoNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md) - The Vidu Text To Video Generation node creates videos from text descriptions. It uses the Vidu video generation model to transform your text prompts into video content with customizable settings for duration, aspect ratio, and visual style. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `viduq1` | Model name | -| `prompt` | STRING | Yes | - | A textual description for video generation | -| `duration` | INT | No | 5-5 | Duration of the output video in seconds (default: 5) | -| `seed` | INT | No | 0-2147483647 | Seed for video generation (0 for random) (default: 0) | -| `aspect_ratio` | COMBO | No | `16:9`
`9:16`
`1:1` | The aspect ratio of the output video | -| `resolution` | COMBO | No | `1080p` | Supported values may vary by model & duration | -| `movement_amplitude` | COMBO | No | `auto`
`small`
`medium`
`large` | The movement amplitude of objects in the frame | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Model name | COMBO | Yes | `viduq1` | +| `prompt` | A textual description for video generation | STRING | Yes | - | +| `duration` | Duration of the output video in seconds (default: 5) | INT | No | 5-5 | +| `seed` | Seed for video generation (0 for random) (default: 0) | INT | No | 0-2147483647 | +| `aspect_ratio` | The aspect ratio of the output video | COMBO | No | `16:9`
`9:16`
`1:1` | +| `resolution` | Supported values may vary by model & duration | COMBO | No | `1080p` | +| `movement_amplitude` | The movement amplitude of objects in the frame | COMBO | No | `auto`
`small`
`medium`
`large` | **Note:** The `prompt` field is required and cannot be empty. The `duration` parameter is currently fixed at 5 seconds. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video based on the text prompt | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video based on the text prompt | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md) --- **Source fingerprint (SHA-256):** `33ca2a60d7914e7b9ab65fbf166e1ba5388d53134cd56ef59acdcbfada5f999d` diff --git a/built-in-nodes/VoxelToMesh.mdx b/built-in-nodes/VoxelToMesh.mdx index bd73c57c2..6825aea3f 100644 --- a/built-in-nodes/VoxelToMesh.mdx +++ b/built-in-nodes/VoxelToMesh.mdx @@ -5,23 +5,23 @@ sidebarTitle: "VoxelToMesh" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMesh/en.md) - The VoxelToMesh node converts 3D voxel data into a mesh geometry by extracting a surface at a specified threshold value. It offers two algorithms for surface extraction: a basic method that creates simple box-like faces, and a surface net method that produces smoother, more detailed meshes. The node processes each voxel grid in the input and generates vertices and faces that form a 3D mesh representation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `voxel` | VOXEL | Yes | - | The input voxel data to convert to mesh geometry | -| `algorithm` | COMBO | Yes | `"surface net"`
`"basic"` | The algorithm used for surface extraction. "surface net" produces smoother meshes, while "basic" creates simple box-like faces (default: "surface net") | -| `threshold` | FLOAT | Yes | -1.0 to 1.0 | The threshold value for surface extraction. Voxels with values above this threshold are considered solid (default: 0.6) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `voxel` | The input voxel data to convert to mesh geometry | VOXEL | Yes | - | +| `algorithm` | The algorithm used for surface extraction. "surface net" produces smoother meshes, while "basic" creates simple box-like faces (default: "surface net") | COMBO | Yes | `"surface net"`
`"basic"` | +| `threshold` | The threshold value for surface extraction. Voxels with values above this threshold are considered solid (default: 0.6) | FLOAT | Yes | -1.0 to 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MESH` | MESH | The generated 3D mesh containing vertices and faces from all input voxel grids. If all voxel grids produce meshes with identical shapes, the output is a stacked tensor; otherwise, a variable-length batch is returned | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MESH` | The generated 3D mesh containing vertices and faces from all input voxel grids. If all voxel grids produce meshes with identical shapes, the output is a stacked tensor; otherwise, a variable-length batch is returned | MESH | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMesh/en.md) --- **Source fingerprint (SHA-256):** `b600be13f1a484d8c0cc1f9c3918630d00c15d35008bcac0f677b21ef64b5d98` diff --git a/built-in-nodes/VoxelToMeshBasic.mdx b/built-in-nodes/VoxelToMeshBasic.mdx index f5431f861..cfdecbdd6 100644 --- a/built-in-nodes/VoxelToMeshBasic.mdx +++ b/built-in-nodes/VoxelToMeshBasic.mdx @@ -5,22 +5,22 @@ sidebarTitle: "VoxelToMeshBasic" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMeshBasic/en.md) - The VoxelToMeshBasic node converts 3D voxel data into mesh geometry. It processes voxel volumes by applying a threshold value to determine which parts of the volume become solid surfaces in the resulting mesh. The node outputs a complete mesh structure with vertices and faces that can be used for 3D rendering and modeling. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `voxel` | VOXEL | Yes | - | The 3D voxel data to convert into a mesh | -| `threshold` | FLOAT | Yes | -1.0 to 1.0 | The threshold value used to determine which voxels become part of the mesh surface (default: 0.6) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `voxel` | The 3D voxel data to convert into a mesh | VOXEL | Yes | - | +| `threshold` | The threshold value used to determine which voxels become part of the mesh surface (default: 0.6) | FLOAT | Yes | -1.0 to 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `MESH` | MESH | The generated 3D mesh containing vertices and faces | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `MESH` | The generated 3D mesh containing vertices and faces | MESH | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMeshBasic/en.md) --- **Source fingerprint (SHA-256):** `95d729463e9d32fb0b8a82a397c6ed7fccaf190ec8a183d71a99fef170747fd1` diff --git a/built-in-nodes/Wan22FunControlToVideo.mdx b/built-in-nodes/Wan22FunControlToVideo.mdx index b3f2e30db..222b0f61f 100644 --- a/built-in-nodes/Wan22FunControlToVideo.mdx +++ b/built-in-nodes/Wan22FunControlToVideo.mdx @@ -5,33 +5,33 @@ sidebarTitle: "Wan22FunControlToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22FunControlToVideo/en.md) - The Wan22FunControlToVideo node prepares conditioning and latent representations for video generation using the Wan video model architecture. It processes positive and negative conditioning inputs along with optional reference images and control videos to create the necessary latent space representations for video synthesis. The node handles spatial scaling and temporal dimensions to generate appropriate conditioning data for video models. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning input for guiding the video generation | -| `negative` | CONDITIONING | Yes | - | Negative conditioning input for guiding the video generation | -| `vae` | VAE | Yes | - | VAE model used for encoding images to latent space | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video sequence (default: 81, step: 4) | -| `batch_size` | INT | Yes | 1 to 4096 | Number of video sequences to generate (default: 1) | -| `ref_image` | IMAGE | No | - | Optional reference image for providing visual guidance | -| `control_video` | IMAGE | No | - | Optional control video for guiding the generation process | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning input for guiding the video generation | CONDITIONING | Yes | - | +| `negative` | Negative conditioning input for guiding the video generation | CONDITIONING | Yes | - | +| `vae` | VAE model used for encoding images to latent space | VAE | Yes | - | +| `width` | Output video width in pixels (default: 832, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Output video height in pixels (default: 480, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | Number of frames in the video sequence (default: 81, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | Number of video sequences to generate (default: 1) | INT | Yes | 1 to 4096 | +| `ref_image` | Optional reference image for providing visual guidance | IMAGE | No | - | +| `control_video` | Optional control video for guiding the generation process | IMAGE | No | - | **Note:** The `length` parameter is processed in chunks of 4 frames, and the node automatically handles temporal scaling for the latent space. When `ref_image` is provided, it influences the conditioning through reference latents. When `control_video` is provided, it directly affects the concat latent representation used in conditioning. The `start_image` parameter is not exposed as an input in this node's schema but is referenced in the execution logic. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Modified positive conditioning with video-specific latent data including concat latent, mask, and optional reference latents | -| `negative` | CONDITIONING | Modified negative conditioning with video-specific latent data including concat latent, mask, and optional reference latents | -| `latent` | LATENT | Empty latent tensor with appropriate dimensions for video generation based on batch size, latent channels, and spatial/temporal scaling | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Modified positive conditioning with video-specific latent data including concat latent, mask, and optional reference latents | CONDITIONING | +| `negative` | Modified negative conditioning with video-specific latent data including concat latent, mask, and optional reference latents | CONDITIONING | +| `latent` | Empty latent tensor with appropriate dimensions for video generation based on batch size, latent channels, and spatial/temporal scaling | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22FunControlToVideo/en.md) --- **Source fingerprint (SHA-256):** `3cc49969226d304e73ec924ccce902c7ae1eee819b4274ad4ffa10e67a4ea211` diff --git a/built-in-nodes/Wan22ImageToVideoLatent.mdx b/built-in-nodes/Wan22ImageToVideoLatent.mdx index 81de92c4b..f1ba69422 100644 --- a/built-in-nodes/Wan22ImageToVideoLatent.mdx +++ b/built-in-nodes/Wan22ImageToVideoLatent.mdx @@ -5,29 +5,29 @@ sidebarTitle: "Wan22ImageToVideoLatent" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/en.md) - The Wan22ImageToVideoLatent node creates video latent representations from images. It generates a blank video latent space with specified dimensions and can optionally encode a starting image sequence into the beginning frames. When a start image is provided, it encodes the image into the latent space and creates a corresponding noise mask for the inpainted regions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `vae` | VAE | Yes | - | The VAE model used for encoding images into latent space | -| `width` | INT | Yes | 32 to MAX_RESOLUTION | The width of the output video in pixels (default: 1280, step: 32) | -| `height` | INT | Yes | 32 to MAX_RESOLUTION | The height of the output video in pixels (default: 704, step: 32) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 49, step: 4) | -| `batch_size` | INT | Yes | 1 to 4096 | The number of batches to generate (default: 1) | -| `start_image` | IMAGE | No | - | Optional starting image sequence to encode into the video latent | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `vae` | The VAE model used for encoding images into latent space | VAE | Yes | - | +| `width` | The width of the output video in pixels (default: 1280, step: 32) | INT | Yes | 32 to MAX_RESOLUTION | +| `height` | The height of the output video in pixels (default: 704, step: 32) | INT | Yes | 32 to MAX_RESOLUTION | +| `length` | The number of frames in the video sequence (default: 49, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | The number of batches to generate (default: 1) | INT | Yes | 1 to 4096 | +| `start_image` | Optional starting image sequence to encode into the video latent | IMAGE | No | - | **Note:** When `start_image` is provided, the node encodes the image sequence into the beginning frames of the latent space and generates a corresponding noise mask. The width and height parameters must be divisible by 16 for proper latent space dimensions. The `length` parameter determines the number of frames in the video latent; the latent space's temporal dimension is calculated as `((length - 1) // 4) + 1`. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `samples` | LATENT | The generated video latent representation | -| `noise_mask` | LATENT | The noise mask indicating which regions should be denoised during generation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `samples` | The generated video latent representation | LATENT | +| `noise_mask` | The noise mask indicating which regions should be denoised during generation | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/en.md) --- **Source fingerprint (SHA-256):** `d12982594b1e38e7db26630fe3d5bde84bcd540e95abb6ce50cac196ea953901` diff --git a/built-in-nodes/Wan2ImageToVideoApi.mdx b/built-in-nodes/Wan2ImageToVideoApi.mdx index 671077b12..51c110136 100644 --- a/built-in-nodes/Wan2ImageToVideoApi.mdx +++ b/built-in-nodes/Wan2ImageToVideoApi.mdx @@ -5,33 +5,33 @@ sidebarTitle: "Wan2ImageToVideoApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/en.md) - The Wan 2.7 Image to Video node generates a video starting from a first-frame image. You can optionally provide a last-frame image to create a transition between the two, or provide an audio file to guide the video's motion and timing. The node uses an AI model to animate the scene based on your text description. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"wan2.7-i2v"` | The AI model to use for video generation. | -| `model.prompt` | STRING | Yes | - | A text description of the elements and visual features you want in the video. Supports English and Chinese. | -| `model.negative_prompt` | STRING | Yes | - | A text description of elements or features you want the model to avoid. | -| `model.resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The resolution of the output video. | -| `model.duration` | INT | Yes | 2 to 15 | The length of the generated video in seconds (default: 5). | -| `first_frame` | IMAGE | Yes | - | The image to use as the first frame of the video. The output video's aspect ratio is derived from this image. | -| `last_frame` | IMAGE | No | - | An optional image to use as the last frame. When provided, the model generates a video that transitions from the first frame to this last frame. | -| `audio` | AUDIO | No | - | An optional audio file to drive the video generation, useful for lip-syncing or beat-matched motion. Duration must be between 2 and 30 seconds. If not provided, the model will generate matching background music or sound effects. | -| `seed` | INT | Yes | 0 to 2147483647 | A seed value to control the randomness of the generation (default: 0). | -| `prompt_extend` | BOOLEAN | Yes | - | When enabled, the node will use AI assistance to enhance your text prompt (default: True). This is an advanced setting. | -| `watermark` | BOOLEAN | Yes | - | When enabled, an AI-generated watermark will be added to the final video (default: False). This is an advanced setting. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model to use for video generation. | COMBO | Yes | `"wan2.7-i2v"` | +| `model.prompt` | A text description of the elements and visual features you want in the video. Supports English and Chinese. | STRING | Yes | - | +| `model.negative_prompt` | A text description of elements or features you want the model to avoid. | STRING | Yes | - | +| `model.resolution` | The resolution of the output video. | COMBO | Yes | `"720P"`
`"1080P"` | +| `model.duration` | The length of the generated video in seconds (default: 5). | INT | Yes | 2 to 15 | +| `first_frame` | The image to use as the first frame of the video. The output video's aspect ratio is derived from this image. | IMAGE | Yes | - | +| `last_frame` | An optional image to use as the last frame. When provided, the model generates a video that transitions from the first frame to this last frame. | IMAGE | No | - | +| `audio` | An optional audio file to drive the video generation, useful for lip-syncing or beat-matched motion. Duration must be between 2 and 30 seconds. If not provided, the model will generate matching background music or sound effects. | AUDIO | No | - | +| `seed` | A seed value to control the randomness of the generation (default: 0). | INT | Yes | 0 to 2147483647 | +| `prompt_extend` | When enabled, the node will use AI assistance to enhance your text prompt (default: True). This is an advanced setting. | BOOLEAN | Yes | - | +| `watermark` | When enabled, an AI-generated watermark will be added to the final video (default: False). This is an advanced setting. | BOOLEAN | Yes | - | **Note:** The `audio` input has a duration constraint. If provided, the audio file must be between 2 and 30 seconds long. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/en.md) --- **Source fingerprint (SHA-256):** `db5e4e26a407c71e2b79179d32cdad926db5af16461f2aa565eab544295df7ff` diff --git a/built-in-nodes/Wan2ReferenceVideoApi.mdx b/built-in-nodes/Wan2ReferenceVideoApi.mdx index 982230b0b..80b8ca289 100644 --- a/built-in-nodes/Wan2ReferenceVideoApi.mdx +++ b/built-in-nodes/Wan2ReferenceVideoApi.mdx @@ -5,24 +5,22 @@ sidebarTitle: "Wan2ReferenceVideoApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/en.md) - This node generates a video featuring a person or object based on provided reference materials. It uses the Wan 2.7 model to create videos from a text prompt, supporting single-character performances and multi-character interactions. You must provide at least one reference video or image for the generation to work. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"wan2.7-r2v"` | The specific model to use for video generation. | -| `model.prompt` | STRING | Yes | - | Prompt describing the video. Use identifiers such as 'character1' and 'character2' to refer to the reference characters. | -| `model.negative_prompt` | STRING | No | - | Negative prompt describing what to avoid in the generated video (default: empty). | -| `model.resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The resolution of the output video. | -| `model.ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | The aspect ratio of the output video. | -| `model.duration` | INT | Yes | 2 to 10 | The length of the generated video in seconds (default: 5). | -| `model.reference_videos` | VIDEO | No | - | A list of reference videos. You can add up to 3 videos. | -| `model.reference_images` | IMAGE | No | - | A list of reference images. You can add up to 5 images. | -| `seed` | INT | No | 0 to 2147483647 | Seed to use for generation, which helps control the randomness of the output (default: 0). | -| `watermark` | BOOLEAN | No | - | Whether to add an AI-generated watermark to the result (default: False). This is an advanced setting. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The specific model to use for video generation. | COMBO | Yes | `"wan2.7-r2v"` | +| `model.prompt` | Prompt describing the video. Use identifiers such as 'character1' and 'character2' to refer to the reference characters. | STRING | Yes | - | +| `model.negative_prompt` | Negative prompt describing what to avoid in the generated video (default: empty). | STRING | No | - | +| `model.resolution` | The resolution of the output video. | COMBO | Yes | `"720P"`
`"1080P"` | +| `model.ratio` | The aspect ratio of the output video. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `model.duration` | The length of the generated video in seconds (default: 5). | INT | Yes | 2 to 10 | +| `model.reference_videos` | A list of reference videos. You can add up to 3 videos. | VIDEO | No | - | +| `model.reference_images` | A list of reference images. You can add up to 5 images. | IMAGE | No | - | +| `seed` | Seed to use for generation, which helps control the randomness of the output (default: 0). | INT | No | 0 to 2147483647 | +| `watermark` | Whether to add an AI-generated watermark to the result (default: False). This is an advanced setting. | BOOLEAN | No | - | **Important Constraints:** * You must provide at least one reference video or reference image in the `model.reference_videos` or `model.reference_images` inputs. @@ -30,9 +28,11 @@ This node generates a video featuring a person or object based on provided refer ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/en.md) --- **Source fingerprint (SHA-256):** `83550e1193a13c3686506a279c0a8469be93be564dd27867e31b8b2724e7025d` diff --git a/built-in-nodes/Wan2TextToVideoApi.mdx b/built-in-nodes/Wan2TextToVideoApi.mdx index d7c96c9c1..2896cf0fb 100644 --- a/built-in-nodes/Wan2TextToVideoApi.mdx +++ b/built-in-nodes/Wan2TextToVideoApi.mdx @@ -5,32 +5,32 @@ sidebarTitle: "Wan2TextToVideoApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2TextToVideoApi/en.md) - This node generates a video from a text description using the Wan 2.7 model. It sends your request to an external API, which processes the prompt and returns a video file. You can optionally provide an audio clip to influence the video's motion and timing. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"wan2.7-t2v"` | The specific model to use for video generation. | -| `model.prompt` | STRING | Yes | - | A description of the elements and visual features you want in the video. Supports English and Chinese. | -| `model.negative_prompt` | STRING | No | - | A description of elements or features you want to avoid in the generated video. | -| `model.resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The resolution of the output video. | -| `model.ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | The aspect ratio of the output video. | -| `model.duration` | INT | Yes | 2 to 15 | The length of the video in seconds (default: 5). | -| `audio` | AUDIO | No | - | An audio file to drive video generation, such as for lip-syncing or motion matching the beat. If not provided, the model will generate matching background music or sound effects. The audio duration must be between 1.5 and 60 seconds. | -| `seed` | INT | No | 0 to 2147483647 | A number used to control the randomness of the generation, ensuring reproducible results (default: 0). | -| `prompt_extend` | BOOLEAN | No | - | When enabled, the prompt will be enhanced with AI assistance (default: True). | -| `watermark` | BOOLEAN | No | - | When enabled, an AI-generated watermark will be added to the result (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The specific model to use for video generation. | COMBO | Yes | `"wan2.7-t2v"` | +| `model.prompt` | A description of the elements and visual features you want in the video. Supports English and Chinese. | STRING | Yes | - | +| `model.negative_prompt` | A description of elements or features you want to avoid in the generated video. | STRING | No | - | +| `model.resolution` | The resolution of the output video. | COMBO | Yes | `"720P"`
`"1080P"` | +| `model.ratio` | The aspect ratio of the output video. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `model.duration` | The length of the video in seconds (default: 5). | INT | Yes | 2 to 15 | +| `audio` | An audio file to drive video generation, such as for lip-syncing or motion matching the beat. If not provided, the model will generate matching background music or sound effects. The audio duration must be between 1.5 and 60 seconds. | AUDIO | No | - | +| `seed` | A number used to control the randomness of the generation, ensuring reproducible results (default: 0). | INT | No | 0 to 2147483647 | +| `prompt_extend` | When enabled, the prompt will be enhanced with AI assistance (default: True). | BOOLEAN | No | - | +| `watermark` | When enabled, an AI-generated watermark will be added to the result (default: False). | BOOLEAN | No | - | **Note:** The `audio` parameter is optional. If provided, its duration must be between 1.5 and 60 seconds. If omitted, the model will automatically generate audio. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2TextToVideoApi/en.md) --- **Source fingerprint (SHA-256):** `1eb775421209047ad06ffc210c6588c64fd39a8828a69d6fcc2b79360df311e3` diff --git a/built-in-nodes/Wan2VideoContinuationApi.mdx b/built-in-nodes/Wan2VideoContinuationApi.mdx index 82291bdfc..94711e7b9 100644 --- a/built-in-nodes/Wan2VideoContinuationApi.mdx +++ b/built-in-nodes/Wan2VideoContinuationApi.mdx @@ -5,32 +5,32 @@ sidebarTitle: "Wan2VideoContinuationApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/en.md) - The Wan 2.7 Video Continuation node generates a new video segment that continues seamlessly from the end of an input video clip. It uses the Wan 2.7 model to synthesize the continuation based on a text prompt and can optionally guide the ending towards a specific target frame. ## Inputs -| Parameter | Data Type | Required | Range | Description | -| :--- | :--- | :--- | :--- | :--- | -| `model` | COMBO | Yes | `"wan2.7-i2v"` | The video generation model to use. | -| `model.prompt` | STRING | Yes | - | Prompt describing the elements and visual features. Supports English and Chinese. (default: empty string) | -| `model.negative_prompt` | STRING | Yes | - | Negative prompt describing what to avoid. (default: empty string) | -| `model.resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The resolution for the output video. | -| `model.duration` | INT | Yes | 2 to 15 | Total output duration in seconds. The model generates continuation to fill the remaining time after the input clip. (default: 5) | -| `first_clip` | VIDEO | Yes | - | Input video to continue from. Duration: 2s-10s. The output aspect ratio is derived from this video. | -| `last_frame` | IMAGE | No | - | Last frame image. The continuation will transition towards this frame. | -| `seed` | INT | Yes | 0 to 2147483647 | Seed to use for generation. (default: 0) | -| `prompt_extend` | BOOLEAN | Yes | - | Whether to enhance the prompt with AI assistance. (default: True) | -| `watermark` | BOOLEAN | Yes | - | Whether to add an AI-generated watermark to the result. (default: False) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The video generation model to use. | COMBO | Yes | `"wan2.7-i2v"` | +| `model.prompt` | Prompt describing the elements and visual features. Supports English and Chinese. (default: empty string) | STRING | Yes | - | +| `model.negative_prompt` | Negative prompt describing what to avoid. (default: empty string) | STRING | Yes | - | +| `model.resolution` | The resolution for the output video. | COMBO | Yes | `"720P"`
`"1080P"` | +| `model.duration` | Total output duration in seconds. The model generates continuation to fill the remaining time after the input clip. (default: 5) | INT | Yes | 2 to 15 | +| `first_clip` | Input video to continue from. Duration: 2s-10s. The output aspect ratio is derived from this video. | VIDEO | Yes | - | +| `last_frame` | Last frame image. The continuation will transition towards this frame. | IMAGE | No | - | +| `seed` | Seed to use for generation. (default: 0) | INT | Yes | 0 to 2147483647 | +| `prompt_extend` | Whether to enhance the prompt with AI assistance. (default: True) | BOOLEAN | Yes | - | +| `watermark` | Whether to add an AI-generated watermark to the result. (default: False) | BOOLEAN | Yes | - | **Note:** The `first_clip` input video must be between 2 and 10 seconds in duration. ## Outputs -| Output Name | Data Type | Description | -| :--- | :--- | :--- | -| `output` | VIDEO | The generated video continuation. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video continuation. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/en.md) --- **Source fingerprint (SHA-256):** `44f71824f1289351fe44ff0f830ee391d2387146444f50ba50309ecba2e54456` diff --git a/built-in-nodes/Wan2VideoEditApi.mdx b/built-in-nodes/Wan2VideoEditApi.mdx index cd05992d0..02a04fc95 100644 --- a/built-in-nodes/Wan2VideoEditApi.mdx +++ b/built-in-nodes/Wan2VideoEditApi.mdx @@ -5,24 +5,22 @@ sidebarTitle: "Wan2VideoEditApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoEditApi/en.md) - The Wan2VideoEditApi node uses the Wan 2.7 model to edit a video based on text instructions, reference images, or style transfer. It processes the input video and generates a new video according to the specified parameters like resolution, duration, and aspect ratio. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"wan2.7-videoedit"` | The model to use for video editing. | -| `model.prompt` | STRING | Yes | - | Editing instructions or style transfer requirements. (default: empty string) | -| `model.resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The resolution for the output video. | -| `model.ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | The aspect ratio for the output video. If not changed, it approximates the input video's ratio. | -| `model.duration` | COMBO | Yes | `"auto"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"`
`"10"` | The output duration in seconds. 'auto' matches the input video duration. A specific value truncates from the start of the video. (default: "auto") | -| `model.reference_images` | IMAGE | No | - | A list of up to 4 reference images to guide the edit. | -| `video` | VIDEO | Yes | - | The video to edit. | -| `seed` | INT | No | 0 to 2147483647 | The seed to use for generation. (default: 0) | -| `audio_setting` | COMBO | No | `"auto"`
`"origin"` | 'auto': model decides whether to regenerate audio based on the prompt. 'origin': preserve the original audio from the input video. (default: "auto") | -| `watermark` | BOOLEAN | No | - | Whether to add an AI-generated watermark to the result. (default: False) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to use for video editing. | COMBO | Yes | `"wan2.7-videoedit"` | +| `model.prompt` | Editing instructions or style transfer requirements. (default: empty string) | STRING | Yes | - | +| `model.resolution` | The resolution for the output video. | COMBO | Yes | `"720P"`
`"1080P"` | +| `model.ratio` | The aspect ratio for the output video. If not changed, it approximates the input video's ratio. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `model.duration` | The output duration in seconds. 'auto' matches the input video duration. A specific value truncates from the start of the video. (default: "auto") | COMBO | Yes | `"auto"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"`
`"10"` | +| `model.reference_images` | A list of up to 4 reference images to guide the edit. | IMAGE | No | - | +| `video` | The video to edit. | VIDEO | Yes | - | +| `seed` | The seed to use for generation. (default: 0) | INT | No | 0 to 2147483647 | +| `audio_setting` | 'auto': model decides whether to regenerate audio based on the prompt. 'origin': preserve the original audio from the input video. (default: "auto") | COMBO | No | `"auto"`
`"origin"` | +| `watermark` | Whether to add an AI-generated watermark to the result. (default: False) | BOOLEAN | No | - | **Constraints:** * The `model.prompt` must be at least 1 character long. @@ -31,9 +29,11 @@ The Wan2VideoEditApi node uses the Wan 2.7 model to edit a video based on text i ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The edited video generated by the model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The edited video generated by the model. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoEditApi/en.md) --- **Source fingerprint (SHA-256):** `1ea6cacbf8f5b6666e164c4806d931d21ddd44568e5c9f6d44f389288f5ce84f` diff --git a/built-in-nodes/WanAnimateToVideo.mdx b/built-in-nodes/WanAnimateToVideo.mdx index d36eecb46..793ed0b0a 100644 --- a/built-in-nodes/WanAnimateToVideo.mdx +++ b/built-in-nodes/WanAnimateToVideo.mdx @@ -5,30 +5,28 @@ sidebarTitle: "WanAnimateToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanAnimateToVideo/en.md) - The WanAnimateToVideo node generates video content by combining multiple conditioning inputs including pose references, facial expressions, and background elements. It processes various video inputs to create coherent animated sequences while maintaining temporal consistency across frames. The node handles latent space operations and can extend existing videos by continuing motion patterns. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning for guiding the generation towards desired content | -| `negative` | CONDITIONING | Yes | - | Negative conditioning for steering the generation away from unwanted content | -| `vae` | VAE | Yes | - | VAE model used for encoding and decoding image data | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames to generate (default: 77, step: 4) | -| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | -| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision model output for additional conditioning | -| `reference_image` | IMAGE | No | - | Reference image used as starting point for generation | -| `face_video` | IMAGE | No | - | Video input providing facial expression guidance | -| `pose_video` | IMAGE | No | - | Video input providing pose and motion guidance | -| `continue_motion_max_frames` | INT | Yes | 1 to MAX_RESOLUTION | Maximum number of frames to continue from previous motion (default: 5, step: 4) | -| `background_video` | IMAGE | No | - | Background video to composite with generated content | -| `character_mask` | MASK | No | - | Mask defining character regions for selective processing | -| `continue_motion` | IMAGE | No | - | Previous motion sequence to continue from for temporal consistency | -| `video_frame_offset` | INT | Yes | 0 to MAX_RESOLUTION | The amount of frames to seek in all the input videos. Used for generating longer videos by chunk. Connect to the video_frame_offset output of the previous node for extending a video. (default: 0, step: 1) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning for guiding the generation towards desired content | CONDITIONING | Yes | - | +| `negative` | Negative conditioning for steering the generation away from unwanted content | CONDITIONING | Yes | - | +| `vae` | VAE model used for encoding and decoding image data | VAE | Yes | - | +| `width` | Output video width in pixels (default: 832, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Output video height in pixels (default: 480, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | Number of frames to generate (default: 77, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | Number of videos to generate simultaneously (default: 1) | INT | Yes | 1 to 4096 | +| `clip_vision_output` | Optional CLIP vision model output for additional conditioning | CLIP_VISION_OUTPUT | No | - | +| `reference_image` | Reference image used as starting point for generation | IMAGE | No | - | +| `face_video` | Video input providing facial expression guidance | IMAGE | No | - | +| `pose_video` | Video input providing pose and motion guidance | IMAGE | No | - | +| `continue_motion_max_frames` | Maximum number of frames to continue from previous motion (default: 5, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `background_video` | Background video to composite with generated content | IMAGE | No | - | +| `character_mask` | Mask defining character regions for selective processing | MASK | No | - | +| `continue_motion` | Previous motion sequence to continue from for temporal consistency | IMAGE | No | - | +| `video_frame_offset` | The amount of frames to seek in all the input videos. Used for generating longer videos by chunk. Connect to the video_frame_offset output of the previous node for extending a video. (default: 0, step: 1) | INT | Yes | 0 to MAX_RESOLUTION | **Parameter Constraints:** @@ -43,14 +41,16 @@ The WanAnimateToVideo node generates video content by combining multiple conditi ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Modified positive conditioning with additional video context including CLIP vision output, pose video latent, face video pixels, concatenated latent image, and concatenated mask | -| `negative` | CONDITIONING | Modified negative conditioning with additional video context including CLIP vision output, pose video latent, face video pixels (inverted), concatenated latent image, and concatenated mask | -| `latent` | LATENT | Generated video content in latent space format with shape [batch_size, 16, latent_length + trim_latent, latent_height, latent_width] | -| `trim_latent` | INT | Latent space trimming information indicating the number of latent frames to trim from the beginning (corresponds to reference image latent frames) | -| `trim_image` | INT | Image space trimming information for reference motion frames, indicating the number of image frames to trim from the beginning | -| `video_frame_offset` | INT | Updated frame offset for continuing video generation in chunks, calculated as the previous offset plus the generated length | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Modified positive conditioning with additional video context including CLIP vision output, pose video latent, face video pixels, concatenated latent image, and concatenated mask | CONDITIONING | +| `negative` | Modified negative conditioning with additional video context including CLIP vision output, pose video latent, face video pixels (inverted), concatenated latent image, and concatenated mask | CONDITIONING | +| `latent` | Generated video content in latent space format with shape [batch_size, 16, latent_length + trim_latent, latent_height, latent_width] | LATENT | +| `trim_latent` | Latent space trimming information indicating the number of latent frames to trim from the beginning (corresponds to reference image latent frames) | INT | +| `trim_image` | Image space trimming information for reference motion frames, indicating the number of image frames to trim from the beginning | INT | +| `video_frame_offset` | Updated frame offset for continuing video generation in chunks, calculated as the previous offset plus the generated length | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanAnimateToVideo/en.md) --- **Source fingerprint (SHA-256):** `2ec2afbc57f58a5b7ce0ecc3730618633d435439ce2d650b18be531c1edddff0` diff --git a/built-in-nodes/WanCameraEmbedding.mdx b/built-in-nodes/WanCameraEmbedding.mdx index 9375dfc2a..c168b173f 100644 --- a/built-in-nodes/WanCameraEmbedding.mdx +++ b/built-in-nodes/WanCameraEmbedding.mdx @@ -5,32 +5,32 @@ sidebarTitle: "WanCameraEmbedding" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraEmbedding/en.md) - The WanCameraEmbedding node generates camera trajectory embeddings using Plücker embeddings based on camera motion parameters. It creates a sequence of camera poses that simulate different camera movements and converts them into embedding tensors suitable for video generation pipelines. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `camera_pose` | COMBO | Yes | "Static"
"Pan Up"
"Pan Down"
"Pan Left"
"Pan Right"
"Zoom In"
"Zoom Out"
"Anti Clockwise (ACW)"
"ClockWise (CW)" | The type of camera movement to simulate (default: "Static") | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the output in pixels (default: 832, step: 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the output in pixels (default: 480, step: 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | The length of the camera trajectory sequence (default: 81, step: 4) | -| `speed` | FLOAT | No | 0.0 to 10.0 | The speed of the camera movement (default: 1.0, step: 0.1) | -| `fx` | FLOAT | No | 0.0 to 1.0 | The focal length x parameter (default: 0.5, step: 0.000000001) | -| `fy` | FLOAT | No | 0.0 to 1.0 | The focal length y parameter (default: 0.5, step: 0.000000001) | -| `cx` | FLOAT | No | 0.0 to 1.0 | The principal point x coordinate (default: 0.5, step: 0.01) | -| `cy` | FLOAT | No | 0.0 to 1.0 | The principal point y coordinate (default: 0.5, step: 0.01) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `camera_pose` | The type of camera movement to simulate (default: "Static") | COMBO | Yes | "Static"
"Pan Up"
"Pan Down"
"Pan Left"
"Pan Right"
"Zoom In"
"Zoom Out"
"Anti Clockwise (ACW)"
"ClockWise (CW)" | +| `width` | The width of the output in pixels (default: 832, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | The height of the output in pixels (default: 480, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | The length of the camera trajectory sequence (default: 81, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `speed` | The speed of the camera movement (default: 1.0, step: 0.1) | FLOAT | No | 0.0 to 10.0 | +| `fx` | The focal length x parameter (default: 0.5, step: 0.000000001) | FLOAT | No | 0.0 to 1.0 | +| `fy` | The focal length y parameter (default: 0.5, step: 0.000000001) | FLOAT | No | 0.0 to 1.0 | +| `cx` | The principal point x coordinate (default: 0.5, step: 0.01) | FLOAT | No | 0.0 to 1.0 | +| `cy` | The principal point y coordinate (default: 0.5, step: 0.01) | FLOAT | No | 0.0 to 1.0 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `camera_embedding` | TENSOR | The generated camera embedding tensor containing the trajectory sequence | -| `width` | INT | The width value that was used for processing | -| `height` | INT | The height value that was used for processing | -| `length` | INT | The length value that was used for processing | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `camera_embedding` | The generated camera embedding tensor containing the trajectory sequence | TENSOR | +| `width` | The width value that was used for processing | INT | +| `height` | The height value that was used for processing | INT | +| `length` | The length value that was used for processing | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraEmbedding/en.md) --- **Source fingerprint (SHA-256):** `9c13c4504ca58b7623f106eaf07ceb2aef7739a9b9ce24e321445078b1f953c9` diff --git a/built-in-nodes/WanCameraImageToVideo.mdx b/built-in-nodes/WanCameraImageToVideo.mdx index 089821c0a..f0333a78f 100644 --- a/built-in-nodes/WanCameraImageToVideo.mdx +++ b/built-in-nodes/WanCameraImageToVideo.mdx @@ -5,34 +5,34 @@ sidebarTitle: "WanCameraImageToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraImageToVideo/en.md) - The WanCameraImageToVideo node prepares conditioning and latent data for video generation from images. It takes positive and negative conditioning prompts, along with optional starting images and camera controls, and outputs modified conditioning and an empty latent tensor ready for a video model to fill in. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning prompts for video generation | -| `negative` | CONDITIONING | Yes | - | Negative conditioning prompts to avoid in video generation | -| `vae` | VAE | Yes | - | VAE model for encoding images to latent space | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video sequence (default: 81, step: 4) | -| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | -| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision output for additional conditioning | -| `start_image` | IMAGE | No | - | Optional starting image to initialize the video sequence. When provided, the first frames of the video will be based on this image, with a mask applied to blend the starting frames with generated content. The image is resized to match the specified width and height. | -| `camera_conditions` | WAN_CAMERA_EMBEDDING | No | - | Optional camera embedding conditions for video generation. When provided, these conditions are applied to both positive and negative conditioning. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning prompts for video generation | CONDITIONING | Yes | - | +| `negative` | Negative conditioning prompts to avoid in video generation | CONDITIONING | Yes | - | +| `vae` | VAE model for encoding images to latent space | VAE | Yes | - | +| `width` | Output video width in pixels (default: 832, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Output video height in pixels (default: 480, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | Number of frames in the video sequence (default: 81, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | Number of videos to generate simultaneously (default: 1) | INT | Yes | 1 to 4096 | +| `clip_vision_output` | Optional CLIP vision output for additional conditioning | CLIP_VISION_OUTPUT | No | - | +| `start_image` | Optional starting image to initialize the video sequence. When provided, the first frames of the video will be based on this image, with a mask applied to blend the starting frames with generated content. The image is resized to match the specified width and height. | IMAGE | No | - | +| `camera_conditions` | Optional camera embedding conditions for video generation. When provided, these conditions are applied to both positive and negative conditioning. | WAN_CAMERA_EMBEDDING | No | - | **Note:** When `start_image` is provided, the node uses it to initialize the video sequence and applies masking to blend the starting frames with generated content. The `camera_conditions` and `clip_vision_output` parameters are optional but when provided, they modify the conditioning for both positive and negative prompts. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Modified positive conditioning with applied camera conditions, clip vision outputs, and/or starting image data | -| `negative` | CONDITIONING | Modified negative conditioning with applied camera conditions, clip vision outputs, and/or starting image data | -| `latent` | LATENT | Generated empty video latent representation for use with video models. The latent tensor has dimensions [batch_size, 16, frames, height/8, width/8] where frames is calculated as ((length - 1) // 4) + 1. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Modified positive conditioning with applied camera conditions, clip vision outputs, and/or starting image data | CONDITIONING | +| `negative` | Modified negative conditioning with applied camera conditions, clip vision outputs, and/or starting image data | CONDITIONING | +| `latent` | Generated empty video latent representation for use with video models. The latent tensor has dimensions [batch_size, 16, frames, height/8, width/8] where frames is calculated as ((length - 1) // 4) + 1. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraImageToVideo/en.md) --- **Source fingerprint (SHA-256):** `e2309b40f78d5a2487242f1684f82d9e4dd8405ef256615f82da2f701418fd4a` diff --git a/built-in-nodes/WanContextWindowsManual.mdx b/built-in-nodes/WanContextWindowsManual.mdx index 91eac1b95..6dd83290f 100644 --- a/built-in-nodes/WanContextWindowsManual.mdx +++ b/built-in-nodes/WanContextWindowsManual.mdx @@ -5,30 +5,30 @@ sidebarTitle: "WanContextWindowsManual" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanContextWindowsManual/en.md) - The WAN Context Windows (Manual) node allows you to manually configure context windows for WAN-like models with 2-dimensional processing. It applies custom context window settings during sampling by specifying the window length, overlap, scheduling method, and fusion technique. This gives you precise control over how the model processes information across different context regions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The model to apply context windows to during sampling. | -| `context_length` | INT | Yes | 1 to 1048576 | The length of the context window (default: 81). | -| `context_overlap` | INT | Yes | 0 to 1048576 | The overlap of the context window (default: 30). | -| `context_schedule` | COMBO | Yes | `"static_standard"`
`"uniform_standard"`
`"uniform_looped"`
`"batched"` | The stride of the context window. | -| `context_stride` | INT | Yes | 1 to 1048576 | The stride of the context window; only applicable to uniform schedules (default: 1). | -| `closed_loop` | BOOLEAN | Yes | - | Whether to close the context window loop; only applicable to looped schedules (default: False). | -| `fuse_method` | COMBO | Yes | `"pyramid"`
`"gaussian"`
`"average"`
`"overlap"` | The method to use to fuse the context windows (default: "pyramid"). | -| `freenoise` | BOOLEAN | Yes | - | Whether to apply FreeNoise noise shuffling, improves window blending (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to apply context windows to during sampling. | MODEL | Yes | - | +| `context_length` | The length of the context window (default: 81). | INT | Yes | 1 to 1048576 | +| `context_overlap` | The overlap of the context window (default: 30). | INT | Yes | 0 to 1048576 | +| `context_schedule` | The stride of the context window. | COMBO | Yes | `"static_standard"`
`"uniform_standard"`
`"uniform_looped"`
`"batched"` | +| `context_stride` | The stride of the context window; only applicable to uniform schedules (default: 1). | INT | Yes | 1 to 1048576 | +| `closed_loop` | Whether to close the context window loop; only applicable to looped schedules (default: False). | BOOLEAN | Yes | - | +| `fuse_method` | The method to use to fuse the context windows (default: "pyramid"). | COMBO | Yes | `"pyramid"`
`"gaussian"`
`"average"`
`"overlap"` | +| `freenoise` | Whether to apply FreeNoise noise shuffling, improves window blending (default: False). | BOOLEAN | Yes | - | **Note:** The `context_stride` parameter only affects uniform schedules, and `closed_loop` only applies to looped schedules. The context length and overlap values are automatically adjusted to ensure minimum valid values during processing. The `fuse_method` parameter now includes additional options beyond just "pyramid". ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The model with the applied context window configuration. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The model with the applied context window configuration. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanContextWindowsManual/en.md) --- **Source fingerprint (SHA-256):** `941a12b45162fd97c21e071e8170ba7047487c0f312f20dac572ef1bc751c64d` diff --git a/built-in-nodes/WanDancerEncodeAudio.mdx b/built-in-nodes/WanDancerEncodeAudio.mdx index cfaacbaa7..40f77378e 100644 --- a/built-in-nodes/WanDancerEncodeAudio.mdx +++ b/built-in-nodes/WanDancerEncodeAudio.mdx @@ -5,26 +5,26 @@ sidebarTitle: "WanDancerEncodeAudio" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerEncodeAudio/en.md) - ## Overview This node processes an audio input to extract features that can be used to guide a video generation model. It analyzes the audio to detect tempo, beats, and other musical characteristics, then packages this information into a format suitable for conditioning a video model, allowing the generated video to be synchronized with the audio. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | - | The audio input to be analyzed and encoded. | -| `video_frames` | INT | Yes | Min: 1, Max: 268435456 (MAX_RESOLUTION), Step: 4 | The number of frames in the target video. Used to calculate the frame rate for synchronization (default: 149). | -| `audio_inject_scale` | FLOAT | Yes | Min: 0.0, Max: 10.0, Step: 0.01 | The scale for the audio features when injected into the video model (default: 1.0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `audio` | The audio input to be analyzed and encoded. | AUDIO | Yes | - | +| `video_frames` | The number of frames in the target video. Used to calculate the frame rate for synchronization (default: 149). | INT | Yes | Min: 1, Max: 268435456 (MAX_RESOLUTION), Step: 4 | +| `audio_inject_scale` | The scale for the audio features when injected into the video model (default: 1.0). | FLOAT | Yes | Min: 0.0, Max: 10.0, Step: 0.01 | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `audio_encoder_output` | AUDIO_ENCODER_OUTPUT | A dictionary containing the processed audio features, the calculated frame rate (fps), and the audio injection scale. This output is used to condition the video generation model. | -| `fps_string` | STRING | A text string describing the calculated frame rate (fps) based on the audio length and the number of video frames. This string is intended to be used in the prompt for the video model. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `audio_encoder_output` | A dictionary containing the processed audio features, the calculated frame rate (fps), and the audio injection scale. This output is used to condition the video generation model. | AUDIO_ENCODER_OUTPUT | +| `fps_string` | A text string describing the calculated frame rate (fps) based on the audio length and the number of video frames. This string is intended to be used in the prompt for the video model. | STRING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerEncodeAudio/en.md) --- **Source fingerprint (SHA-256):** `1318323b202ca26c920a860534062dc7f20e3b10d13eb9825a890e26b5fde731` diff --git a/built-in-nodes/WanDancerPadKeyframes.mdx b/built-in-nodes/WanDancerPadKeyframes.mdx index a3f697598..cd09b29c1 100644 --- a/built-in-nodes/WanDancerPadKeyframes.mdx +++ b/built-in-nodes/WanDancerPadKeyframes.mdx @@ -5,28 +5,28 @@ sidebarTitle: "WanDancerPadKeyframes" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframes/en.md) - ## Overview This node prepares a sequence of keyframes for a specific segment of a longer video generation process. It takes a batch of input images and an audio track, calculates how many total frames the full video should have based on the audio duration, and then distributes the input images as keyframes across the chosen segment, padding the rest with blank frames. It also extracts the corresponding portion of the audio for that segment. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | Batch of images | The input images to be distributed as keyframes. | -| `segment_length` | INT | Yes | 1 to 10000 | Length of this segment in frames (default: 149). | -| `segment_index` | INT | Yes | 0 to 100 | Which segment this is (0 for first, 1 for second, etc., default: 0). | -| `audio` | AUDIO | Yes | Audio data | Audio to calculate total output frames from and extract segment audio. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | The input images to be distributed as keyframes. | IMAGE | Yes | Batch of images | +| `segment_length` | Length of this segment in frames (default: 149). | INT | Yes | 1 to 10000 | +| `segment_index` | Which segment this is (0 for first, 1 for second, etc., default: 0). | INT | Yes | 0 to 100 | +| `audio` | Audio to calculate total output frames from and extract segment audio. | AUDIO | Yes | Audio data | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `keyframes_sequence` | IMAGE | Padded keyframe sequence for the specified segment. | -| `keyframes_mask` | MASK | Mask indicating valid frames (1 for keyframe positions, 0 for padded positions). | -| `audio_segment` | AUDIO | Audio segment for this video segment. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `keyframes_sequence` | Padded keyframe sequence for the specified segment. | IMAGE | +| `keyframes_mask` | Mask indicating valid frames (1 for keyframe positions, 0 for padded positions). | MASK | +| `audio_segment` | Audio segment for this video segment. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframes/en.md) --- **Source fingerprint (SHA-256):** `93393e39cb1968b6e8720dfad213c16c534857bcfafcc577be64e0733ab3a760` diff --git a/built-in-nodes/WanDancerPadKeyframesList.mdx b/built-in-nodes/WanDancerPadKeyframesList.mdx index d1edff044..851fcf60c 100644 --- a/built-in-nodes/WanDancerPadKeyframesList.mdx +++ b/built-in-nodes/WanDancerPadKeyframesList.mdx @@ -5,28 +5,28 @@ sidebarTitle: "WanDancerPadKeyframesList" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframesList/en.md) - ## Overview This node takes a sequence of images and an optional audio track, and splits them into a specified number of padded segments. It is designed to prepare keyframe sequences for video generation, where each segment is padded to a consistent length and a corresponding mask is created to indicate which frames are valid. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | N/A | The input image sequence to be split into segments. | -| `segment_length` | INT | Yes | 1 to 10000 | Length of each segment in frames (default: 149). | -| `num_segments` | INT | Yes | 1 to 100 | How many padded segments to emit as lists (default: 1). | -| `audio` | AUDIO | No | N/A | Audio to slice for each emitted segment. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | The input image sequence to be split into segments. | IMAGE | Yes | N/A | +| `segment_length` | Length of each segment in frames (default: 149). | INT | Yes | 1 to 10000 | +| `num_segments` | How many padded segments to emit as lists (default: 1). | INT | Yes | 1 to 100 | +| `audio` | Audio to slice for each emitted segment. | AUDIO | No | N/A | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `keyframes_sequence` | IMAGE | A list of padded keyframe sequences, one for each segment. | -| `keyframes_mask` | MASK | A list of masks indicating valid frames for each segment. | -| `audio_segment` | AUDIO | A list of audio segments, one for each video segment. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `keyframes_sequence` | A list of padded keyframe sequences, one for each segment. | IMAGE | +| `keyframes_mask` | A list of masks indicating valid frames for each segment. | MASK | +| `audio_segment` | A list of audio segments, one for each video segment. | AUDIO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframesList/en.md) --- **Source fingerprint (SHA-256):** `f9918166a75f688f1de6a09008780bc629bbdfb3b8d547de9ba8661ef07fc97e` diff --git a/built-in-nodes/WanDancerVideo.mdx b/built-in-nodes/WanDancerVideo.mdx index ee46d0761..54e00a8f0 100644 --- a/built-in-nodes/WanDancerVideo.mdx +++ b/built-in-nodes/WanDancerVideo.mdx @@ -5,25 +5,23 @@ sidebarTitle: "WanDancerVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerVideo/en.md) - The WanDancerVideo node prepares conditioning data and an empty latent tensor for video generation with the WanDancer model. It combines positive and negative conditioning with optional inputs like a starting image, mask, CLIP vision embeddings, and audio features to control the generated video. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | | The positive conditioning to guide video generation. | -| `negative` | CONDITIONING | Yes | | The negative conditioning to guide video generation. | -| `vae` | VAE | Yes | | The VAE used to encode the start image into the latent space. | -| `width` | INT | Yes | 16 to MAX_RESOLUTION (step: 16) | The width of the generated video in pixels (default: 480). | -| `height` | INT | Yes | 16 to MAX_RESOLUTION (step: 16) | The height of the generated video in pixels (default: 832). | -| `length` | INT | Yes | 1 to MAX_RESOLUTION (step: 4) | The number of frames in the generated video. Should stay 149 for WanDancer (default: 149). | -| `clip_vision_output` | CLIP_VISION_OUTPUT | No | | The CLIP vision embeddings for the first frame. | -| `clip_vision_output_ref` | CLIP_VISION_OUTPUT | No | | The CLIP vision embeddings for the reference image. | -| `start_image` | IMAGE | No | | The initial image(s) to be encoded. Can be any number of frames, up to the specified `length`. | -| `mask` | MASK | No | | Image conditioning mask for the start image(s). White areas are kept, black areas are generated. Used for local generations. | -| `audio_encoder_output` | AUDIO_ENCODER_OUTPUT | No | | The output from an audio encoder, providing audio features, fps, and inject scale for audio-conditional generation. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning to guide video generation. | CONDITIONING | Yes | | +| `negative` | The negative conditioning to guide video generation. | CONDITIONING | Yes | | +| `vae` | The VAE used to encode the start image into the latent space. | VAE | Yes | | +| `width` | The width of the generated video in pixels (default: 480). | INT | Yes | 16 to MAX_RESOLUTION (step: 16) | +| `height` | The height of the generated video in pixels (default: 832). | INT | Yes | 16 to MAX_RESOLUTION (step: 16) | +| `length` | The number of frames in the generated video. Should stay 149 for WanDancer (default: 149). | INT | Yes | 1 to MAX_RESOLUTION (step: 4) | +| `clip_vision_output` | The CLIP vision embeddings for the first frame. | CLIP_VISION_OUTPUT | No | | +| `clip_vision_output_ref` | The CLIP vision embeddings for the reference image. | CLIP_VISION_OUTPUT | No | | +| `start_image` | The initial image(s) to be encoded. Can be any number of frames, up to the specified `length`. | IMAGE | No | | +| `mask` | Image conditioning mask for the start image(s). White areas are kept, black areas are generated. Used for local generations. | MASK | No | | +| `audio_encoder_output` | The output from an audio encoder, providing audio features, fps, and inject scale for audio-conditional generation. | AUDIO_ENCODER_OUTPUT | No | | **Note on Parameter Constraints:** - The `start_image` and `mask` inputs are optional but can be used together. When `start_image` is provided, it is encoded and concatenated with the latent. If `mask` is also provided, it controls which parts of the start image are kept (white) and which are regenerated (black). If `mask` is not provided, the entire start image area is used as a conditioning guide. @@ -32,11 +30,13 @@ The WanDancerVideo node prepares conditioning data and an empty latent tensor fo ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The positive conditioning with any additional data (concat latent, CLIP vision, audio) attached. | -| `negative` | CONDITIONING | The negative conditioning with any additional data (concat latent, CLIP vision, audio) attached. | -| `latent` | LATENT | An empty latent tensor with dimensions matching the specified video length, height, and width. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The positive conditioning with any additional data (concat latent, CLIP vision, audio) attached. | CONDITIONING | +| `negative` | The negative conditioning with any additional data (concat latent, CLIP vision, audio) attached. | CONDITIONING | +| `latent` | An empty latent tensor with dimensions matching the specified video length, height, and width. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerVideo/en.md) --- **Source fingerprint (SHA-256):** `0a75b24c8e5c164d81b08eb438862d94d4409ece8dc22c126979347e2350c828` diff --git a/built-in-nodes/WanFirstLastFrameToVideo.mdx b/built-in-nodes/WanFirstLastFrameToVideo.mdx index 121520a3b..9272fd0b0 100644 --- a/built-in-nodes/WanFirstLastFrameToVideo.mdx +++ b/built-in-nodes/WanFirstLastFrameToVideo.mdx @@ -5,35 +5,35 @@ sidebarTitle: "WanFirstLastFrameToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFirstLastFrameToVideo/en.md) - The WanFirstLastFrameToVideo node creates video conditioning by combining start and end frames with text prompts. It generates a latent representation for video generation by encoding the first and last frames, applying masks to guide the generation process, and incorporating CLIP vision features when available. This node prepares both positive and negative conditioning for video models to generate coherent sequences between specified start and end points. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive text conditioning for guiding the video generation | -| `negative` | CONDITIONING | Yes | - | Negative text conditioning for guiding the video generation | -| `vae` | VAE | Yes | - | VAE model used for encoding images to latent space | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width (default: 832, step: 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height (default: 480, step: 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video sequence (default: 81, step: 4) | -| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | -| `clip_vision_start_image` | CLIP_VISION_OUTPUT | No | - | CLIP vision features extracted from the start image | -| `clip_vision_end_image` | CLIP_VISION_OUTPUT | No | - | CLIP vision features extracted from the end image | -| `start_image` | IMAGE | No | - | Starting frame image for the video sequence | -| `end_image` | IMAGE | No | - | Ending frame image for the video sequence | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive text conditioning for guiding the video generation | CONDITIONING | Yes | - | +| `negative` | Negative text conditioning for guiding the video generation | CONDITIONING | Yes | - | +| `vae` | VAE model used for encoding images to latent space | VAE | Yes | - | +| `width` | Output video width (default: 832, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Output video height (default: 480, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | Number of frames in the video sequence (default: 81, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | Number of videos to generate simultaneously (default: 1) | INT | Yes | 1 to 4096 | +| `clip_vision_start_image` | CLIP vision features extracted from the start image | CLIP_VISION_OUTPUT | No | - | +| `clip_vision_end_image` | CLIP vision features extracted from the end image | CLIP_VISION_OUTPUT | No | - | +| `start_image` | Starting frame image for the video sequence | IMAGE | No | - | +| `end_image` | Ending frame image for the video sequence | IMAGE | No | - | **Note:** When both `start_image` and `end_image` are provided, the node creates a video sequence that transitions between these two frames. The `clip_vision_start_image` and `clip_vision_end_image` parameters are optional but when provided, their CLIP vision features are concatenated and applied to both positive and negative conditioning. The `start_image` is cropped to the first `length` frames, and the `end_image` is cropped to the last `length` frames before processing. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Positive conditioning with applied video frame encoding and CLIP vision features | -| `negative` | CONDITIONING | Negative conditioning with applied video frame encoding and CLIP vision features | -| `latent` | LATENT | Empty latent tensor with dimensions matching the specified video parameters | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Positive conditioning with applied video frame encoding and CLIP vision features | CONDITIONING | +| `negative` | Negative conditioning with applied video frame encoding and CLIP vision features | CONDITIONING | +| `latent` | Empty latent tensor with dimensions matching the specified video parameters | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFirstLastFrameToVideo/en.md) --- **Source fingerprint (SHA-256):** `c9017cbed8d90e0c22a27c035784396fe1fa1551d586e2ec148e0621228162c0` diff --git a/built-in-nodes/WanFunControlToVideo.mdx b/built-in-nodes/WanFunControlToVideo.mdx index d848c3d4a..6dc17b6a8 100644 --- a/built-in-nodes/WanFunControlToVideo.mdx +++ b/built-in-nodes/WanFunControlToVideo.mdx @@ -17,23 +17,25 @@ The node's position in the ComfyUI node hierarchy indicates that it operates in ## Inputs -| Parameter Name | Required | Data Type | Description | Default Value | -|:-------------------|:---------|:-------------------|:-------------------------------------------------------------|:-------------| -| positive | Yes | CONDITIONING | Standard ComfyUI positive conditioning data, typically from a "CLIP Text Encode" node. The positive prompt describes the content, subject matter, and artistic style that the user envisions for the generated video. | N/A | -| negative | Yes | CONDITIONING | Standard ComfyUI negative conditioning data, typically generated by a "CLIP Text Encode" node. The negative prompt specifies elements, styles, or artifacts that the user wants to avoid in the generated video. | N/A | -| vae | Yes | VAE | Requires a VAE (Variational Autoencoder) model compatible with the Wan 2.1 Fun model family, used for encoding and decoding image/video data. | N/A | -| width | Yes | INT | The desired width of output video frames in pixels, with a default value of 832, minimum value of 16, maximum value determined by nodes.MAX_RESOLUTION, and a step size of 16. | 832 | -| height | Yes | INT | The desired height of output video frames in pixels, with a default value of 480, minimum value of 16, maximum value determined by nodes.MAX_RESOLUTION, and a step size of 16. | 480 | -| length | Yes | INT | The total number of frames in the generated video, with a default value of 81, minimum value of 1, maximum value determined by nodes.MAX_RESOLUTION, and a step size of 4. | 81 | -| batch_size | Yes | INT | The number of videos generated in a single batch, with a default value of 1, minimum value of 1, and maximum value of 4096. | 1 | -| clip_vision_output | No | CLIP_VISION_OUTPUT | (Optional) Visual features extracted by a CLIP vision model, allowing for visual style and content guidance. | None | -| start_image | No | IMAGE | (Optional) An initial image that influences the beginning of the generated video. | None | -| control_video | No | IMAGE | (Optional) Allows users to provide a preprocessed ControlNet reference video that will guide the motion and potential structure of the generated video.| None | +| Parameter Name | Description | Required | Data Type | Default Value | +| --- | --- | --- | --- | --- | +| positive | Standard ComfyUI positive conditioning data, typically from a "CLIP Text Encode" node. The positive prompt describes the content, subject matter, and artistic style that the user envisions for the generated video. | Yes | CONDITIONING | N/A | +| negative | Standard ComfyUI negative conditioning data, typically generated by a "CLIP Text Encode" node. The negative prompt specifies elements, styles, or artifacts that the user wants to avoid in the generated video. | Yes | CONDITIONING | N/A | +| vae | Requires a VAE (Variational Autoencoder) model compatible with the Wan 2.1 Fun model family, used for encoding and decoding image/video data. | Yes | VAE | N/A | +| width | The desired width of output video frames in pixels, with a default value of 832, minimum value of 16, maximum value determined by nodes.MAX_RESOLUTION, and a step size of 16. | Yes | INT | 832 | +| height | The desired height of output video frames in pixels, with a default value of 480, minimum value of 16, maximum value determined by nodes.MAX_RESOLUTION, and a step size of 16. | Yes | INT | 480 | +| length | The total number of frames in the generated video, with a default value of 81, minimum value of 1, maximum value determined by nodes.MAX_RESOLUTION, and a step size of 4. | Yes | INT | 81 | +| batch_size | The number of videos generated in a single batch, with a default value of 1, minimum value of 1, and maximum value of 4096. | Yes | INT | 1 | +| clip_vision_output | (Optional) Visual features extracted by a CLIP vision model, allowing for visual style and content guidance. | No | CLIP_VISION_OUTPUT | None | +| start_image | (Optional) An initial image that influences the beginning of the generated video. | No | IMAGE | None | +| control_video | (Optional) Allows users to provide a preprocessed ControlNet reference video that will guide the motion and potential structure of the generated video. | No | IMAGE | None | ## Outputs -| Parameter Name | Data Type | Description | -|:-------------------|:-------------------|:-------------------------------------------------------------| -| positive | CONDITIONING | Provides enhanced positive conditioning data, including encoded start_image and control_video. | -| negative | CONDITIONING | Provides negative conditioning data that has also been enhanced, containing the same concat_latent_image. | -| latent | LATENT | A dictionary containing an empty latent tensor with the key "samples". | +| Parameter Name | Description | Data Type | +| --- | --- | --- | +| positive | Provides enhanced positive conditioning data, including encoded start_image and control_video. | CONDITIONING | +| negative | Provides negative conditioning data that has also been enhanced, containing the same concat_latent_image. | CONDITIONING | +| latent | A dictionary containing an empty latent tensor with the key "samples". | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunControlToVideo/en.md) diff --git a/built-in-nodes/WanFunInpaintToVideo.mdx b/built-in-nodes/WanFunInpaintToVideo.mdx index 59bce9573..8b5ba8aff 100644 --- a/built-in-nodes/WanFunInpaintToVideo.mdx +++ b/built-in-nodes/WanFunInpaintToVideo.mdx @@ -5,32 +5,32 @@ sidebarTitle: "WanFunInpaintToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunInpaintToVideo/en.md) - The WanFunInpaintToVideo node creates video sequences by inpainting between start and end images. It takes positive and negative conditioning along with optional frame images to generate video latents. The node handles video generation with configurable dimensions and length parameters. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning prompts for video generation | -| `negative` | CONDITIONING | Yes | - | Negative conditioning prompts to avoid in video generation | -| `vae` | VAE | Yes | - | VAE model for encoding/decoding operations | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video sequence (default: 81, step: 4) | -| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate in a batch (default: 1) | -| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision output for additional conditioning | -| `start_image` | IMAGE | No | - | Optional starting frame image for video generation | -| `end_image` | IMAGE | No | - | Optional ending frame image for video generation | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning prompts for video generation | CONDITIONING | Yes | - | +| `negative` | Negative conditioning prompts to avoid in video generation | CONDITIONING | Yes | - | +| `vae` | VAE model for encoding/decoding operations | VAE | Yes | - | +| `width` | Output video width in pixels (default: 832, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Output video height in pixels (default: 480, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | Number of frames in the video sequence (default: 81, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | Number of videos to generate in a batch (default: 1) | INT | Yes | 1 to 4096 | +| `clip_vision_output` | Optional CLIP vision output for additional conditioning | CLIP_VISION_OUTPUT | No | - | +| `start_image` | Optional starting frame image for video generation | IMAGE | No | - | +| `end_image` | Optional ending frame image for video generation | IMAGE | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Processed positive conditioning output | -| `negative` | CONDITIONING | Processed negative conditioning output | -| `latent` | LATENT | Generated video latent representation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Processed positive conditioning output | CONDITIONING | +| `negative` | Processed negative conditioning output | CONDITIONING | +| `latent` | Generated video latent representation | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunInpaintToVideo/en.md) --- **Source fingerprint (SHA-256):** `16926439268e3748418f1a7c1e9a295ddb1ebc5fcb0ad4914fc8e3215a7950dc` diff --git a/built-in-nodes/WanHuMoImageToVideo.mdx b/built-in-nodes/WanHuMoImageToVideo.mdx index 7e59bb7e7..38596ab43 100644 --- a/built-in-nodes/WanHuMoImageToVideo.mdx +++ b/built-in-nodes/WanHuMoImageToVideo.mdx @@ -5,33 +5,33 @@ sidebarTitle: "WanHuMoImageToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanHuMoImageToVideo/en.md) - The WanHuMoImageToVideo node converts images to video sequences by generating latent representations for video frames. It processes conditioning inputs and can incorporate reference images and audio embeddings to influence the video generation. The node outputs modified conditioning data and latent representations suitable for video synthesis. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning input that guides the video generation toward desired content | -| `negative` | CONDITIONING | Yes | - | Negative conditioning input that steers the video generation away from unwanted content | -| `vae` | VAE | Yes | - | VAE model used for encoding reference images into latent space | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Width of the output video frames in pixels (default: 832, must be divisible by 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Height of the output video frames in pixels (default: 480, must be divisible by 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the generated video sequence (default: 97, must be such that (length - 1) is divisible by 4) | -| `batch_size` | INT | Yes | 1 to 4096 | Number of video sequences to generate simultaneously (default: 1) | -| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio encoding data that can influence video generation based on audio content | -| `ref_image` | IMAGE | No | - | Optional reference image used to guide the video generation style and content | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning input that guides the video generation toward desired content | CONDITIONING | Yes | - | +| `negative` | Negative conditioning input that steers the video generation away from unwanted content | CONDITIONING | Yes | - | +| `vae` | VAE model used for encoding reference images into latent space | VAE | Yes | - | +| `width` | Width of the output video frames in pixels (default: 832, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Height of the output video frames in pixels (default: 480, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | Number of frames in the generated video sequence (default: 97, must be such that (length - 1) is divisible by 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | Number of video sequences to generate simultaneously (default: 1) | INT | Yes | 1 to 4096 | +| `audio_encoder_output` | Optional audio encoding data that can influence video generation based on audio content | AUDIOENCODEROUTPUT | No | - | +| `ref_image` | Optional reference image used to guide the video generation style and content | IMAGE | No | - | **Note:** When a reference image is provided, it gets encoded and added to both positive and negative conditioning. When audio encoder output is provided, it gets processed and incorporated into the conditioning data. If neither is provided, zero-filled placeholder tensors are used for both reference latents and audio embeddings. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Modified positive conditioning with reference image and/or audio embeddings incorporated | -| `negative` | CONDITIONING | Modified negative conditioning with reference image and/or audio embeddings incorporated | -| `latent` | LATENT | Generated latent representation containing the video sequence data | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Modified positive conditioning with reference image and/or audio embeddings incorporated | CONDITIONING | +| `negative` | Modified negative conditioning with reference image and/or audio embeddings incorporated | CONDITIONING | +| `latent` | Generated latent representation containing the video sequence data | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanHuMoImageToVideo/en.md) --- **Source fingerprint (SHA-256):** `4d28fe2617f25e72745d34bf2ec19aec2df6e89ad49eabe086ad045690f42d1f` diff --git a/built-in-nodes/WanImageToImageApi.mdx b/built-in-nodes/WanImageToImageApi.mdx index 3bd3325b4..de1dcb88a 100644 --- a/built-in-nodes/WanImageToImageApi.mdx +++ b/built-in-nodes/WanImageToImageApi.mdx @@ -5,28 +5,28 @@ sidebarTitle: "WanImageToImageApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToImageApi/en.md) - The Wan Image to Image node generates an image from one or two input images and a text prompt. It transforms your input images based on the description you provide, creating a new image that maintains the aspect ratio of your original input. The output image is fixed at 1.6 megapixels regardless of the input size. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | "wan2.5-i2i-preview" | Model to use (default: "wan2.5-i2i-preview"). | -| `image` | IMAGE | Yes | - | Single-image editing or multi-image fusion, maximum 2 images. | -| `prompt` | STRING | Yes | - | Prompt describing the elements and visual features. Supports English and Chinese (default: empty). | -| `negative_prompt` | STRING | No | - | Negative prompt describing what to avoid (default: empty). | -| `seed` | INT | No | 0 to 2147483647 | Seed to use for generation (default: 0). | -| `watermark` | BOOLEAN | No | - | Whether to add an AI-generated watermark to the result (default: false). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Model to use (default: "wan2.5-i2i-preview"). | COMBO | Yes | "wan2.5-i2i-preview" | +| `image` | Single-image editing or multi-image fusion, maximum 2 images. | IMAGE | Yes | - | +| `prompt` | Prompt describing the elements and visual features. Supports English and Chinese (default: empty). | STRING | Yes | - | +| `negative_prompt` | Negative prompt describing what to avoid (default: empty). | STRING | No | - | +| `seed` | Seed to use for generation (default: 0). | INT | No | 0 to 2147483647 | +| `watermark` | Whether to add an AI-generated watermark to the result (default: false). | BOOLEAN | No | - | **Note:** This node accepts exactly 1 or 2 input images. If you provide more than 2 images or no images at all, the node will return an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The generated image based on the input images and text prompts. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The generated image based on the input images and text prompts. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToImageApi/en.md) --- **Source fingerprint (SHA-256):** `c9afd38e3df8c080f489c4b569ea647eab5718fa78d95c65e294706344bb8067` diff --git a/built-in-nodes/WanImageToVideo.mdx b/built-in-nodes/WanImageToVideo.mdx index 963b1586c..45c76b5b1 100644 --- a/built-in-nodes/WanImageToVideo.mdx +++ b/built-in-nodes/WanImageToVideo.mdx @@ -5,33 +5,33 @@ sidebarTitle: "WanImageToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideo/en.md) - The WanImageToVideo node prepares conditioning and latent representations for video generation tasks. It creates an empty latent space for video generation and can optionally incorporate starting images and CLIP vision outputs to guide the video generation process. The node modifies both positive and negative conditioning inputs based on the provided image and vision data. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning input for guiding the generation | -| `negative` | CONDITIONING | Yes | - | Negative conditioning input for guiding the generation | -| `vae` | VAE | Yes | - | VAE model for encoding images to latent space | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Width of the output video (default: 832, step: 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Height of the output video (default: 480, step: 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video (default: 81, step: 4) | -| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate in a batch (default: 1) | -| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision output for additional conditioning | -| `start_image` | IMAGE | No | - | Optional starting image to initialize the video generation. When provided, the image is resized to match the specified width and height, and the first frames of the video are initialized from this image. The remaining frames are filled with neutral gray (0.5) values. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning input for guiding the generation | CONDITIONING | Yes | - | +| `negative` | Negative conditioning input for guiding the generation | CONDITIONING | Yes | - | +| `vae` | VAE model for encoding images to latent space | VAE | Yes | - | +| `width` | Width of the output video (default: 832, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Height of the output video (default: 480, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | Number of frames in the video (default: 81, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | Number of videos to generate in a batch (default: 1) | INT | Yes | 1 to 4096 | +| `clip_vision_output` | Optional CLIP vision output for additional conditioning | CLIP_VISION_OUTPUT | No | - | +| `start_image` | Optional starting image to initialize the video generation. When provided, the image is resized to match the specified width and height, and the first frames of the video are initialized from this image. The remaining frames are filled with neutral gray (0.5) values. | IMAGE | No | - | **Note:** When `start_image` is provided, the node encodes the image sequence using the VAE and applies a mask to the conditioning inputs. The mask covers all frames except those initialized by the starting image, allowing the generation to build upon the provided image. The `clip_vision_output` parameter, when provided, adds vision-based conditioning to both positive and negative inputs. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Modified positive conditioning with image and vision data incorporated | -| `negative` | CONDITIONING | Modified negative conditioning with image and vision data incorporated | -| `latent` | LATENT | Empty latent space tensor ready for video generation, with shape [batch_size, 16, ((length-1)//4)+1, height//8, width//8] | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Modified positive conditioning with image and vision data incorporated | CONDITIONING | +| `negative` | Modified negative conditioning with image and vision data incorporated | CONDITIONING | +| `latent` | Empty latent space tensor ready for video generation, with shape [batch_size, 16, ((length-1)//4)+1, height//8, width//8] | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideo/en.md) --- **Source fingerprint (SHA-256):** `9cac4f27f5ec2e0d5247fab78acb00a68eb6317dd747d6f6f46b065240f64a8b` diff --git a/built-in-nodes/WanImageToVideoApi.mdx b/built-in-nodes/WanImageToVideoApi.mdx index 445a842a8..02314d812 100644 --- a/built-in-nodes/WanImageToVideoApi.mdx +++ b/built-in-nodes/WanImageToVideoApi.mdx @@ -5,26 +5,24 @@ sidebarTitle: "WanImageToVideoApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md) - The Wan Image to Video node generates a video from a single input image and a text prompt. It uses the provided image as the first frame and creates a video sequence based on the description, with options for resolution, duration, audio, and other advanced settings. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | "wan2.5-i2v-preview"
"wan2.6-i2v" | Model to use (default: "wan2.6-i2v") | -| `image` | IMAGE | Yes | - | Input image that serves as the first frame for video generation. Exactly one image is required. | -| `prompt` | STRING | Yes | - | Prompt describing the elements and visual features. Supports English and Chinese (default: empty). | -| `negative_prompt` | STRING | No | - | Negative prompt describing what to avoid (default: empty). | -| `resolution` | COMBO | No | "480P"
"720P"
"1080P" | Video resolution quality (default: "720P"). The Wan 2.6 model does not support 480P. | -| `duration` | INT | No | 5-15 (step: 5) | Duration of the generated video in seconds. A 15-second duration is supported only by the Wan 2.6 model (default: 5). | -| `audio` | AUDIO | No | - | Audio must contain a clear, loud voice, without extraneous noise or background music. When provided, audio duration must be between 3.0 and 29.0 seconds. | -| `seed` | INT | No | 0-2147483647 | Seed to use for generation (default: 0). | -| `generate_audio` | BOOLEAN | No | - | If no audio input is provided, generate audio automatically (default: False). | -| `prompt_extend` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True). | -| `watermark` | BOOLEAN | No | - | Whether to add an AI-generated watermark to the result (default: False). | -| `shot_type` | COMBO | No | "single"
"multi" | Specifies the shot type for the generated video, that is, whether the video is a single continuous shot or multiple shots with cuts. This parameter takes effect only when prompt_extend is True (default: "single"). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Model to use (default: "wan2.6-i2v") | COMBO | Yes | "wan2.5-i2v-preview"
"wan2.6-i2v" | +| `image` | Input image that serves as the first frame for video generation. Exactly one image is required. | IMAGE | Yes | - | +| `prompt` | Prompt describing the elements and visual features. Supports English and Chinese (default: empty). | STRING | Yes | - | +| `negative_prompt` | Negative prompt describing what to avoid (default: empty). | STRING | No | - | +| `resolution` | Video resolution quality (default: "720P"). The Wan 2.6 model does not support 480P. | COMBO | No | "480P"
"720P"
"1080P" | +| `duration` | Duration of the generated video in seconds. A 15-second duration is supported only by the Wan 2.6 model (default: 5). | INT | No | 5-15 (step: 5) | +| `audio` | Audio must contain a clear, loud voice, without extraneous noise or background music. When provided, audio duration must be between 3.0 and 29.0 seconds. | AUDIO | No | - | +| `seed` | Seed to use for generation (default: 0). | INT | No | 0-2147483647 | +| `generate_audio` | If no audio input is provided, generate audio automatically (default: False). | BOOLEAN | No | - | +| `prompt_extend` | Whether to enhance the prompt with AI assistance (default: True). | BOOLEAN | No | - | +| `watermark` | Whether to add an AI-generated watermark to the result (default: False). | BOOLEAN | No | - | +| `shot_type` | Specifies the shot type for the generated video, that is, whether the video is a single continuous shot or multiple shots with cuts. This parameter takes effect only when prompt_extend is True (default: "single"). | COMBO | No | "single"
"multi" | **Constraints:** @@ -35,9 +33,11 @@ The Wan Image to Video node generates a video from a single input image and a te ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | Generated video based on the input image and prompt. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | Generated video based on the input image and prompt. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md) --- **Source fingerprint (SHA-256):** `b8a75e324f7436e8a376e4a058b0a32556cafbe8e7975148cbc6302638f52058` diff --git a/built-in-nodes/WanInfiniteTalkToVideo.mdx b/built-in-nodes/WanInfiniteTalkToVideo.mdx index 1b2fb129c..f20f67460 100644 --- a/built-in-nodes/WanInfiniteTalkToVideo.mdx +++ b/built-in-nodes/WanInfiniteTalkToVideo.mdx @@ -5,32 +5,30 @@ sidebarTitle: "WanInfiniteTalkToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanInfiniteTalkToVideo/en.md) - The WanInfiniteTalkToVideo node generates video sequences from audio input. It uses a video diffusion model, conditioned on audio features extracted from one or two speakers, to produce a latent representation of a talking head video. The node can generate a new sequence or extend an existing one using previous frames for motion context. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `mode` | COMBO | Yes | `"single_speaker"`
`"two_speakers"` | The audio input mode. `"single_speaker"` uses one audio input. `"two_speakers"` enables inputs for a second speaker and corresponding masks. | -| `model` | MODEL | Yes | - | The base video diffusion model. | -| `model_patch` | MODELPATCH | Yes | - | The model patch containing audio projection layers. | -| `positive` | CONDITIONING | Yes | - | The positive conditioning to guide the generation. | -| `negative` | CONDITIONING | Yes | - | The negative conditioning to guide the generation. | -| `vae` | VAE | Yes | - | The VAE used for encoding images to and from the latent space. | -| `width` | INT | No | 16 - MAX_RESOLUTION | The width of the output video in pixels. Must be divisible by 16. (default: 832) | -| `height` | INT | No | 16 - MAX_RESOLUTION | The height of the output video in pixels. Must be divisible by 16. (default: 480) | -| `length` | INT | No | 1 - MAX_RESOLUTION | The number of frames to generate. (default: 81) | -| `clip_vision_output` | CLIPVISIONOUTPUT | No | - | Optional CLIP vision output for additional conditioning. | -| `start_image` | IMAGE | No | - | An optional starting image to initialize the video sequence. | -| `audio_encoder_output_1` | AUDIOENCODEROUTPUT | Yes | - | The primary audio encoder output containing features for the first speaker. | -| `motion_frame_count` | INT | No | 1 - 33 | Number of previous frames to use as motion context when extending a sequence. (default: 9) | -| `audio_scale` | FLOAT | No | -10.0 - 10.0 | A scaling factor applied to the audio conditioning. (default: 1.0) | -| `previous_frames` | IMAGE | No | - | Optional previous video frames to extend from. | -| `audio_encoder_output_2` | AUDIOENCODEROUTPUT | No | - | The second audio encoder output. Required when `mode` is set to `"two_speakers"`. | -| `mask_1` | MASK | No | - | Mask for the first speaker, required if using two audio inputs. | -| `mask_2` | MASK | No | - | Mask for the second speaker, required if using two audio inputs. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `mode` | The audio input mode. `"single_speaker"` uses one audio input. `"two_speakers"` enables inputs for a second speaker and corresponding masks. | COMBO | Yes | `"single_speaker"`
`"two_speakers"` | +| `model` | The base video diffusion model. | MODEL | Yes | - | +| `model_patch` | The model patch containing audio projection layers. | MODELPATCH | Yes | - | +| `positive` | The positive conditioning to guide the generation. | CONDITIONING | Yes | - | +| `negative` | The negative conditioning to guide the generation. | CONDITIONING | Yes | - | +| `vae` | The VAE used for encoding images to and from the latent space. | VAE | Yes | - | +| `width` | The width of the output video in pixels. Must be divisible by 16. (default: 832) | INT | No | 16 - MAX_RESOLUTION | +| `height` | The height of the output video in pixels. Must be divisible by 16. (default: 480) | INT | No | 16 - MAX_RESOLUTION | +| `length` | The number of frames to generate. (default: 81) | INT | No | 1 - MAX_RESOLUTION | +| `clip_vision_output` | Optional CLIP vision output for additional conditioning. | CLIPVISIONOUTPUT | No | - | +| `start_image` | An optional starting image to initialize the video sequence. | IMAGE | No | - | +| `audio_encoder_output_1` | The primary audio encoder output containing features for the first speaker. | AUDIOENCODEROUTPUT | Yes | - | +| `motion_frame_count` | Number of previous frames to use as motion context when extending a sequence. (default: 9) | INT | No | 1 - 33 | +| `audio_scale` | A scaling factor applied to the audio conditioning. (default: 1.0) | FLOAT | No | -10.0 - 10.0 | +| `previous_frames` | Optional previous video frames to extend from. | IMAGE | No | - | +| `audio_encoder_output_2` | The second audio encoder output. Required when `mode` is set to `"two_speakers"`. | AUDIOENCODEROUTPUT | No | - | +| `mask_1` | Mask for the first speaker, required if using two audio inputs. | MASK | No | - | +| `mask_2` | Mask for the second speaker, required if using two audio inputs. | MASK | No | - | **Parameter Constraints:** @@ -41,13 +39,15 @@ The WanInfiniteTalkToVideo node generates video sequences from audio input. It u ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The patched model with audio conditioning applied. | -| `positive` | CONDITIONING | The positive conditioning, potentially modified with additional context (e.g., start image, CLIP vision). | -| `negative` | CONDITIONING | The negative conditioning, potentially modified with additional context. | -| `latent` | LATENT | The generated video sequence in latent space. | -| `trim_image` | INT | The number of frames from the start of the motion context that should be trimmed when extending a sequence. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The patched model with audio conditioning applied. | MODEL | +| `positive` | The positive conditioning, potentially modified with additional context (e.g., start image, CLIP vision). | CONDITIONING | +| `negative` | The negative conditioning, potentially modified with additional context. | CONDITIONING | +| `latent` | The generated video sequence in latent space. | LATENT | +| `trim_image` | The number of frames from the start of the motion context that should be trimmed when extending a sequence. | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanInfiniteTalkToVideo/en.md) --- **Source fingerprint (SHA-256):** `1ef125235ce5adb09972737d0e2863255315c536da718c7af230de1b4a7f53e2` diff --git a/built-in-nodes/WanMoveConcatTrack.mdx b/built-in-nodes/WanMoveConcatTrack.mdx index 2ceeeb969..840db9112 100644 --- a/built-in-nodes/WanMoveConcatTrack.mdx +++ b/built-in-nodes/WanMoveConcatTrack.mdx @@ -5,22 +5,22 @@ sidebarTitle: "WanMoveConcatTrack" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveConcatTrack/en.md) - The WanMoveConcatTrack node combines two sets of motion tracking data into a single, longer sequence. It works by joining the track paths and visibility masks from the input tracks along their respective dimensions. If only one track input is provided, it simply passes that data through unchanged. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `tracks_1` | TRACKS | Yes | | The first set of motion tracking data to be concatenated. | -| `tracks_2` | TRACKS | No | | An optional second set of motion tracking data. If not provided, `tracks_1` is passed directly to the output. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `tracks_1` | The first set of motion tracking data to be concatenated. | TRACKS | Yes | | +| `tracks_2` | An optional second set of motion tracking data. If not provided, `tracks_1` is passed directly to the output. | TRACKS | No | | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `tracks` | TRACKS | The concatenated motion tracking data, containing the combined `track_path` and `track_visibility` from the inputs. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `tracks` | The concatenated motion tracking data, containing the combined `track_path` and `track_visibility` from the inputs. | TRACKS | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveConcatTrack/en.md) --- **Source fingerprint (SHA-256):** `96741eecf48ce534fa2deac8a6f62c1374a7cdc4c0b6263ce9b4d757861fc338` diff --git a/built-in-nodes/WanMoveTrackToVideo.mdx b/built-in-nodes/WanMoveTrackToVideo.mdx index d6f82b5e0..22ea5b8f4 100644 --- a/built-in-nodes/WanMoveTrackToVideo.mdx +++ b/built-in-nodes/WanMoveTrackToVideo.mdx @@ -5,35 +5,35 @@ sidebarTitle: "WanMoveTrackToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTrackToVideo/en.md) - The WanMoveTrackToVideo node prepares conditioning and latent space data for video generation, incorporating optional motion tracking information. It encodes a starting image sequence into a latent representation and can blend in positional data from object tracks to guide the motion in the generated video. The node outputs modified positive and negative conditioning along with an empty latent tensor ready for a video model. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The positive conditioning input to be modified. | -| `negative` | CONDITIONING | Yes | - | The negative conditioning input to be modified. | -| `vae` | VAE | Yes | - | The VAE model used to encode the starting image into the latent space. | -| `tracks` | TRACKS | No | - | Optional motion tracking data containing object paths. | -| `strength` | FLOAT | No | 0.0 - 100.0 | Strength of the track conditioning. (default: 1.0) | -| `width` | INT | No | 16 - MAX_RESOLUTION | The width of the output video. Must be divisible by 16. (default: 832) | -| `height` | INT | No | 16 - MAX_RESOLUTION | The height of the output video. Must be divisible by 16. (default: 480) | -| `length` | INT | No | 1 - MAX_RESOLUTION | The number of frames in the video sequence. (default: 81) | -| `batch_size` | INT | No | 1 - 4096 | The batch size for the latent output. (default: 1) | -| `start_image` | IMAGE | Yes | - | The starting image or image sequence to encode. | -| `clip_vision_output` | CLIPVISIONOUTPUT | No | - | Optional CLIP vision model output to add to the conditioning. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning input to be modified. | CONDITIONING | Yes | - | +| `negative` | The negative conditioning input to be modified. | CONDITIONING | Yes | - | +| `vae` | The VAE model used to encode the starting image into the latent space. | VAE | Yes | - | +| `tracks` | Optional motion tracking data containing object paths. | TRACKS | No | - | +| `strength` | Strength of the track conditioning. (default: 1.0) | FLOAT | No | 0.0 - 100.0 | +| `width` | The width of the output video. Must be divisible by 16. (default: 832) | INT | No | 16 - MAX_RESOLUTION | +| `height` | The height of the output video. Must be divisible by 16. (default: 480) | INT | No | 16 - MAX_RESOLUTION | +| `length` | The number of frames in the video sequence. (default: 81) | INT | No | 1 - MAX_RESOLUTION | +| `batch_size` | The batch size for the latent output. (default: 1) | INT | No | 1 - 4096 | +| `start_image` | The starting image or image sequence to encode. | IMAGE | Yes | - | +| `clip_vision_output` | Optional CLIP vision model output to add to the conditioning. | CLIPVISIONOUTPUT | No | - | **Note:** The `strength` parameter only has an effect when `tracks` are provided. If `tracks` are not provided or `strength` is 0.0, the track conditioning is not applied. The `start_image` is used to create a latent image and mask for the conditioning; if it is not provided, the node only passes through the conditioning and outputs an empty latent. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The modified positive conditioning, potentially containing `concat_latent_image`, `concat_mask`, and `clip_vision_output`. | -| `negative` | CONDITIONING | The modified negative conditioning, potentially containing `concat_latent_image`, `concat_mask`, and `clip_vision_output`. | -| `latent` | LATENT | An empty latent tensor with dimensions shaped by the `batch_size`, `length`, `height`, and `width` inputs. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The modified positive conditioning, potentially containing `concat_latent_image`, `concat_mask`, and `clip_vision_output`. | CONDITIONING | +| `negative` | The modified negative conditioning, potentially containing `concat_latent_image`, `concat_mask`, and `clip_vision_output`. | CONDITIONING | +| `latent` | An empty latent tensor with dimensions shaped by the `batch_size`, `length`, `height`, and `width` inputs. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTrackToVideo/en.md) --- **Source fingerprint (SHA-256):** `9dc861c3616a3d92c9dc647e1d227bc1f94d5c74c58eed41ffa8d28b445c9160` diff --git a/built-in-nodes/WanMoveTracksFromCoords.mdx b/built-in-nodes/WanMoveTracksFromCoords.mdx index f87c89e8a..5e6d3c792 100644 --- a/built-in-nodes/WanMoveTracksFromCoords.mdx +++ b/built-in-nodes/WanMoveTracksFromCoords.mdx @@ -5,25 +5,25 @@ sidebarTitle: "WanMoveTracksFromCoords" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/en.md) - The WanMoveTracksFromCoords node creates motion tracks from a JSON-formatted string of coordinates. It converts the coordinate data into a tensor format that can be used by other video processing nodes, and can optionally apply a mask to control the visibility of tracks over time. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `track_coords` | STRING | No | N/A | A JSON-formatted string containing the coordinate data for the tracks. The default value is an empty list (`"[]"`). | -| `track_mask` | MASK | No | N/A | An optional mask. When provided, the node uses it to determine the visibility of each track per frame. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `track_coords` | A JSON-formatted string containing the coordinate data for the tracks. The default value is an empty list (`"[]"`). | STRING | No | N/A | +| `track_mask` | An optional mask. When provided, the node uses it to determine the visibility of each track per frame. | MASK | No | N/A | **Note:** The `track_coords` input expects a specific JSON structure. It should be a list of tracks, where each track is a list of frames, and each frame is an object with `x` and `y` coordinates. The number of frames must be consistent across all tracks. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `tracks` | TRACKS | The generated track data, containing the path coordinates and visibility information for each track. | -| `track_length` | INT | The total number of frames in the generated tracks. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `tracks` | The generated track data, containing the path coordinates and visibility information for each track. | TRACKS | +| `track_length` | The total number of frames in the generated tracks. | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/en.md) --- **Source fingerprint (SHA-256):** `2c02b7bfc51951d8b5d24e9f19d64cdf0eab7b4f1a3436b63e9baf1765417193` diff --git a/built-in-nodes/WanMoveVisualizeTracks.mdx b/built-in-nodes/WanMoveVisualizeTracks.mdx index 75743619f..8e0ea8d04 100644 --- a/built-in-nodes/WanMoveVisualizeTracks.mdx +++ b/built-in-nodes/WanMoveVisualizeTracks.mdx @@ -5,28 +5,28 @@ sidebarTitle: "WanMoveVisualizeTracks" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveVisualizeTracks/en.md) - The WanMoveVisualizeTracks node overlays motion tracking data onto a sequence of images or video frames. It draws visual representations of tracked points, including their movement paths and current positions, making the motion data visible and easier to analyze. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | Yes | - | The sequence of input images or video frames to visualize the tracks on. | -| `tracks` | TRACKS | No | - | The motion tracking data containing point paths and visibility information. If not provided, the input images are passed through unchanged. | -| `line_resolution` | INT | Yes | 1 - 1024 | The number of previous frames to use when drawing the trailing path line for each track (default: 24). | -| `circle_size` | INT | Yes | 1 - 128 | The size of the circle drawn at the current position of each track (default: 12). | -| `opacity` | FLOAT | Yes | 0.0 - 1.0 | The opacity of the drawn track overlays (default: 0.75). | -| `line_width` | INT | Yes | 1 - 128 | The width of the lines used to draw the track paths (default: 16). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `images` | The sequence of input images or video frames to visualize the tracks on. | IMAGE | Yes | - | +| `tracks` | The motion tracking data containing point paths and visibility information. If not provided, the input images are passed through unchanged. | TRACKS | No | - | +| `line_resolution` | The number of previous frames to use when drawing the trailing path line for each track (default: 24). | INT | Yes | 1 - 1024 | +| `circle_size` | The size of the circle drawn at the current position of each track (default: 12). | INT | Yes | 1 - 128 | +| `opacity` | The opacity of the drawn track overlays (default: 0.75). | FLOAT | Yes | 0.0 - 1.0 | +| `line_width` | The width of the lines used to draw the track paths (default: 16). | INT | Yes | 1 - 128 | **Note:** If the number of input images does not match the number of frames in the provided `tracks` data, the image sequence will be repeated to match the track length. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The sequence of images with the motion tracking data visualized as overlays. If no `tracks` were provided, the original input images are returned. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The sequence of images with the motion tracking data visualized as overlays. If no `tracks` were provided, the original input images are returned. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveVisualizeTracks/en.md) --- **Source fingerprint (SHA-256):** `9912b8cc06a8b4014f73e537d9421be3d8dda3b1a416733f4c0fb0caf8663b6f` diff --git a/built-in-nodes/WanPhantomSubjectToVideo.mdx b/built-in-nodes/WanPhantomSubjectToVideo.mdx index 1bd8892f5..e31bd645d 100644 --- a/built-in-nodes/WanPhantomSubjectToVideo.mdx +++ b/built-in-nodes/WanPhantomSubjectToVideo.mdx @@ -5,33 +5,33 @@ sidebarTitle: "WanPhantomSubjectToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/en.md) - The WanPhantomSubjectToVideo node generates video content by processing conditioning inputs and optional reference images. It creates latent representations for video generation and can incorporate visual guidance from input images when provided. The node prepares conditioning data with time-dimensional concatenation for video models and outputs modified conditioning along with generated latent video data. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning input for guiding video generation | -| `negative` | CONDITIONING | Yes | - | Negative conditioning input to avoid certain characteristics | -| `vae` | VAE | Yes | - | VAE model for encoding images when provided | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, must be divisible by 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, must be divisible by 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the generated video (default: 81, must be divisible by 4) | -| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | -| `images` | IMAGE | No | - | Optional reference images for time-dimensional conditioning | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning input for guiding video generation | CONDITIONING | Yes | - | +| `negative` | Negative conditioning input to avoid certain characteristics | CONDITIONING | Yes | - | +| `vae` | VAE model for encoding images when provided | VAE | Yes | - | +| `width` | Output video width in pixels (default: 832, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Output video height in pixels (default: 480, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | Number of frames in the generated video (default: 81, must be divisible by 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | Number of videos to generate simultaneously (default: 1) | INT | Yes | 1 to 4096 | +| `images` | Optional reference images for time-dimensional conditioning | IMAGE | No | - | **Note:** When `images` are provided, they are automatically upscaled to match the specified `width` and `height`, and only the first `length` frames are used for processing. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Modified positive conditioning with time-dimensional concatenation when images are provided | -| `negative_text` | CONDITIONING | Modified negative conditioning with time-dimensional concatenation when images are provided | -| `negative_img_text` | CONDITIONING | Negative conditioning with zeroed time-dimensional concatenation when images are provided | -| `latent` | LATENT | Generated latent video representation with specified dimensions and length | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Modified positive conditioning with time-dimensional concatenation when images are provided | CONDITIONING | +| `negative_text` | Modified negative conditioning with time-dimensional concatenation when images are provided | CONDITIONING | +| `negative_img_text` | Negative conditioning with zeroed time-dimensional concatenation when images are provided | CONDITIONING | +| `latent` | Generated latent video representation with specified dimensions and length | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/en.md) --- **Source fingerprint (SHA-256):** `9ff1c79f794f96015f099988b5392e3b2e442de3b317c352f2436feb41a1c3ba` diff --git a/built-in-nodes/WanReferenceVideoApi.mdx b/built-in-nodes/WanReferenceVideoApi.mdx index 267a96b1d..77b2f192d 100644 --- a/built-in-nodes/WanReferenceVideoApi.mdx +++ b/built-in-nodes/WanReferenceVideoApi.mdx @@ -5,23 +5,21 @@ sidebarTitle: "WanReferenceVideoApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md) - The Wan Reference to Video node uses the visual appearance and voice from one or more input reference videos, along with a text prompt, to generate a new video. It maintains consistency with the characters from the reference material while creating new content based on your description. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"wan2.6-r2v"` | The specific AI model to use for video generation. | -| `prompt` | STRING | Yes | - | A description of the elements and visual features for the new video. Supports English and Chinese. Use identifiers like `character1` and `character2` to refer to the characters from the reference videos. | -| `negative_prompt` | STRING | No | - | A description of elements or features to avoid in the generated video. | -| `reference_videos` | AUTOGROW | Yes | - | A list of video inputs used as references for character appearance and voice. You must provide at least one video. Each video can be assigned a name like `character1`, `character2`, or `character3`. | -| `size` | COMBO | Yes | `"720p: 1:1 (960x960)"`
`"720p: 16:9 (1280x720)"`
`"720p: 9:16 (720x1280)"`
`"720p: 4:3 (1088x832)"`
`"720p: 3:4 (832x1088)"`
`"1080p: 1:1 (1440x1440)"`
`"1080p: 16:9 (1920x1080)"`
`"1080p: 9:16 (1080x1920)"`
`"1080p: 4:3 (1632x1248)"`
`"1080p: 3:4 (1248x1632)"` | The resolution and aspect ratio for the output video. | -| `duration` | INT | Yes | 5 to 10 | The length of the generated video in seconds. The value must be a multiple of 5 (default: 5). | -| `seed` | INT | No | 0 to 2147483647 | A random seed value for reproducible results. A value of 0 will generate a random seed. | -| `shot_type` | COMBO | Yes | `"single"`
`"multi"` | Specifies whether the generated video is a single continuous shot or contains multiple shots with cuts. | -| `watermark` | BOOLEAN | No | - | When enabled, an AI-generated watermark is added to the final video (default: False). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The specific AI model to use for video generation. | COMBO | Yes | `"wan2.6-r2v"` | +| `prompt` | A description of the elements and visual features for the new video. Supports English and Chinese. Use identifiers like `character1` and `character2` to refer to the characters from the reference videos. | STRING | Yes | - | +| `negative_prompt` | A description of elements or features to avoid in the generated video. | STRING | No | - | +| `reference_videos` | A list of video inputs used as references for character appearance and voice. You must provide at least one video. Each video can be assigned a name like `character1`, `character2`, or `character3`. | AUTOGROW | Yes | - | +| `size` | The resolution and aspect ratio for the output video. | COMBO | Yes | `"720p: 1:1 (960x960)"`
`"720p: 16:9 (1280x720)"`
`"720p: 9:16 (720x1280)"`
`"720p: 4:3 (1088x832)"`
`"720p: 3:4 (832x1088)"`
`"1080p: 1:1 (1440x1440)"`
`"1080p: 16:9 (1920x1080)"`
`"1080p: 9:16 (1080x1920)"`
`"1080p: 4:3 (1632x1248)"`
`"1080p: 3:4 (1248x1632)"` | +| `duration` | The length of the generated video in seconds. The value must be a multiple of 5 (default: 5). | INT | Yes | 5 to 10 | +| `seed` | A random seed value for reproducible results. A value of 0 will generate a random seed. | INT | No | 0 to 2147483647 | +| `shot_type` | Specifies whether the generated video is a single continuous shot or contains multiple shots with cuts. | COMBO | Yes | `"single"`
`"multi"` | +| `watermark` | When enabled, an AI-generated watermark is added to the final video (default: False). | BOOLEAN | No | - | **Constraints:** @@ -30,9 +28,11 @@ The Wan Reference to Video node uses the visual appearance and voice from one or ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The newly generated video file. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The newly generated video file. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md) --- **Source fingerprint (SHA-256):** `948976c64337299217616d60200ffed7e24cce32655960c525bb068c38cc6406` diff --git a/built-in-nodes/WanSCAILToVideo.mdx b/built-in-nodes/WanSCAILToVideo.mdx index 9fe2b1f0c..3a4131682 100644 --- a/built-in-nodes/WanSCAILToVideo.mdx +++ b/built-in-nodes/WanSCAILToVideo.mdx @@ -5,37 +5,37 @@ sidebarTitle: "WanSCAILToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSCAILToVideo/en.md) - The WanSCAILToVideo node prepares conditioning and an empty latent space for video generation. It processes optional inputs like reference images, pose videos, and CLIP vision outputs, embedding them into the positive and negative conditioning for a video model. The node outputs the modified conditioning and a blank latent tensor of the specified video dimensions. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | The positive conditioning input. | -| `negative` | CONDITIONING | Yes | - | The negative conditioning input. | -| `vae` | VAE | Yes | - | The VAE model used for encoding images and video frames. | -| `width` | INT | Yes | 32 to MAX_RESOLUTION | The width of the output video in pixels (default: 512). Must be divisible by 8. | -| `height` | INT | Yes | 32 to MAX_RESOLUTION | The height of the output video in pixels (default: 896). Must be divisible by 8. | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the video (default: 81). Must be divisible by 4. | -| `batch_size` | INT | Yes | 1 to 4096 | The number of videos to generate in a batch (default: 1). | -| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision output for conditioning. | -| `reference_image` | IMAGE | No | - | An optional reference image for conditioning. | -| `pose_video` | IMAGE | No | - | Video used for pose conditioning. Will be downscaled to half the resolution of the main video. | -| `pose_strength` | FLOAT | Yes | 0.0 to 10.0 | Strength of the pose latent (default: 1.0). | -| `pose_start` | FLOAT | Yes | 0.0 to 1.0 | Start step to use pose conditioning (default: 0.0). | -| `pose_end` | FLOAT | Yes | 0.0 to 1.0 | End step to use pose conditioning (default: 1.0). | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | The positive conditioning input. | CONDITIONING | Yes | - | +| `negative` | The negative conditioning input. | CONDITIONING | Yes | - | +| `vae` | The VAE model used for encoding images and video frames. | VAE | Yes | - | +| `width` | The width of the output video in pixels (default: 512). Must be divisible by 8. | INT | Yes | 32 to MAX_RESOLUTION | +| `height` | The height of the output video in pixels (default: 896). Must be divisible by 8. | INT | Yes | 32 to MAX_RESOLUTION | +| `length` | The number of frames in the video (default: 81). Must be divisible by 4. | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | The number of videos to generate in a batch (default: 1). | INT | Yes | 1 to 4096 | +| `clip_vision_output` | Optional CLIP vision output for conditioning. | CLIP_VISION_OUTPUT | No | - | +| `reference_image` | An optional reference image for conditioning. | IMAGE | No | - | +| `pose_video` | Video used for pose conditioning. Will be downscaled to half the resolution of the main video. | IMAGE | No | - | +| `pose_strength` | Strength of the pose latent (default: 1.0). | FLOAT | Yes | 0.0 to 10.0 | +| `pose_start` | Start step to use pose conditioning (default: 0.0). | FLOAT | Yes | 0.0 to 1.0 | +| `pose_end` | End step to use pose conditioning (default: 1.0). | FLOAT | Yes | 0.0 to 1.0 | **Note:** The `pose_video` input is processed only for the first `length` frames. The `reference_image` is processed only for the first image in the batch. When `reference_image` is provided, a zero-filled latent of the same size is used for the negative conditioning. When `clip_vision_output` is provided, it is applied to both positive and negative conditioning. The `pose_video` is downscaled to half the resolution of the main video before encoding. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | The modified positive conditioning, potentially containing embedded reference image latents, CLIP vision output, or pose video latents. | -| `negative` | CONDITIONING | The modified negative conditioning, potentially containing embedded reference image latents, CLIP vision output, or pose video latents. | -| `latent` | LATENT | An empty latent tensor of shape `[batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8]`. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | The modified positive conditioning, potentially containing embedded reference image latents, CLIP vision output, or pose video latents. | CONDITIONING | +| `negative` | The modified negative conditioning, potentially containing embedded reference image latents, CLIP vision output, or pose video latents. | CONDITIONING | +| `latent` | An empty latent tensor of shape `[batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8]`. | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSCAILToVideo/en.md) --- **Source fingerprint (SHA-256):** `01c0912474602c33fa0c3e277db90e0eb83edbcea307a860921bab486d267cc8` diff --git a/built-in-nodes/WanSoundImageToVideo.mdx b/built-in-nodes/WanSoundImageToVideo.mdx index acfe9bc95..028f093c6 100644 --- a/built-in-nodes/WanSoundImageToVideo.mdx +++ b/built-in-nodes/WanSoundImageToVideo.mdx @@ -5,33 +5,33 @@ sidebarTitle: "WanSoundImageToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideo/en.md) - The WanSoundImageToVideo node generates video content from images with optional audio conditioning. It takes positive and negative conditioning prompts along with a VAE model to create video latents, and can incorporate reference images, audio encoding, control videos, and motion references to guide the video generation process. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning prompts that guide what content should appear in the generated video | -| `negative` | CONDITIONING | Yes | - | Negative conditioning prompts that specify what content should be avoided in the generated video | -| `vae` | VAE | Yes | - | VAE model used for encoding and decoding the video latent representations | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Width of the output video in pixels (default: 832, must be divisible by 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Height of the output video in pixels (default: 480, must be divisible by 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the generated video (default: 77, must be divisible by 4) | -| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | -| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio encoding that can influence the video generation based on sound characteristics. When provided, the audio features are interpolated and used to condition the video generation. | -| `ref_image` | IMAGE | No | - | Optional reference image that provides visual guidance for the video content. The image is upscaled to match the specified width and height, then encoded into a latent representation. | -| `control_video` | IMAGE | No | - | Optional control video that guides the motion and structure of the generated video. The video is upscaled and encoded, then used to condition the output. Only the first `length` frames are used. | -| `ref_motion` | IMAGE | No | - | Optional motion reference that provides guidance for movement patterns in the video. If the input has more than 73 frames, only the last 73 are used. If fewer than 73 frames are provided, the sequence is padded with neutral frames. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning prompts that guide what content should appear in the generated video | CONDITIONING | Yes | - | +| `negative` | Negative conditioning prompts that specify what content should be avoided in the generated video | CONDITIONING | Yes | - | +| `vae` | VAE model used for encoding and decoding the video latent representations | VAE | Yes | - | +| `width` | Width of the output video in pixels (default: 832, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Height of the output video in pixels (default: 480, must be divisible by 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | Number of frames in the generated video (default: 77, must be divisible by 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | Number of videos to generate simultaneously (default: 1) | INT | Yes | 1 to 4096 | +| `audio_encoder_output` | Optional audio encoding that can influence the video generation based on sound characteristics. When provided, the audio features are interpolated and used to condition the video generation. | AUDIOENCODEROUTPUT | No | - | +| `ref_image` | Optional reference image that provides visual guidance for the video content. The image is upscaled to match the specified width and height, then encoded into a latent representation. | IMAGE | No | - | +| `control_video` | Optional control video that guides the motion and structure of the generated video. The video is upscaled and encoded, then used to condition the output. Only the first `length` frames are used. | IMAGE | No | - | +| `ref_motion` | Optional motion reference that provides guidance for movement patterns in the video. If the input has more than 73 frames, only the last 73 are used. If fewer than 73 frames are provided, the sequence is padded with neutral frames. | IMAGE | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Processed positive conditioning that has been modified for video generation, including audio embeddings, reference latents, motion references, and control video conditioning | -| `negative` | CONDITIONING | Processed negative conditioning that has been modified for video generation, including audio embeddings (set to zero), reference latents, motion references, and control video conditioning | -| `latent` | LATENT | Generated video representation in latent space that can be decoded into final video frames. The latent tensor has shape [batch_size, 16, latent_t, height/8, width/8] where latent_t is derived from the length parameter | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Processed positive conditioning that has been modified for video generation, including audio embeddings, reference latents, motion references, and control video conditioning | CONDITIONING | +| `negative` | Processed negative conditioning that has been modified for video generation, including audio embeddings (set to zero), reference latents, motion references, and control video conditioning | CONDITIONING | +| `latent` | Generated video representation in latent space that can be decoded into final video frames. The latent tensor has shape [batch_size, 16, latent_t, height/8, width/8] where latent_t is derived from the length parameter | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideo/en.md) --- **Source fingerprint (SHA-256):** `08aa558c23990f7efae9adede91715bf40afca4b50e416a6cadfd18c3d607b75` diff --git a/built-in-nodes/WanSoundImageToVideoExtend.mdx b/built-in-nodes/WanSoundImageToVideoExtend.mdx index 36f796860..bf7e27829 100644 --- a/built-in-nodes/WanSoundImageToVideoExtend.mdx +++ b/built-in-nodes/WanSoundImageToVideoExtend.mdx @@ -5,30 +5,30 @@ sidebarTitle: "WanSoundImageToVideoExtend" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/en.md) - The WanSoundImageToVideoExtend node extends an existing video latent by generating additional frames, optionally guided by audio, a reference image, and a control video. It takes a starting video latent and produces a longer video sequence, using the provided conditioning and audio cues to influence the new content. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning prompts that guide what the video should include | -| `negative` | CONDITIONING | Yes | - | Negative conditioning prompts that specify what the video should avoid | -| `vae` | VAE | Yes | - | Variational Autoencoder used for encoding and decoding video frames | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Total number of frames to generate for the video sequence (default: 77, step: 4) | -| `video_latent` | LATENT | Yes | - | Initial video latent representation that serves as the starting point for extension. The width, height, batch size, and frame offset are derived from this latent. | -| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio embeddings that can influence video generation based on sound characteristics. When provided, the audio is interpolated and used to create an audio embedding bucket that is added to the conditioning. | -| `ref_image` | IMAGE | No | - | Optional reference image that provides visual guidance for the video generation. The image is upscaled to match the target dimensions and encoded into a latent, which is then added to both positive and negative conditioning. | -| `control_video` | IMAGE | No | - | Optional control video that can guide the motion and style of the generated video. The video is upscaled, encoded, and added to both positive and negative conditioning. The control video is truncated to the specified `length`. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning prompts that guide what the video should include | CONDITIONING | Yes | - | +| `negative` | Negative conditioning prompts that specify what the video should avoid | CONDITIONING | Yes | - | +| `vae` | Variational Autoencoder used for encoding and decoding video frames | VAE | Yes | - | +| `length` | Total number of frames to generate for the video sequence (default: 77, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `video_latent` | Initial video latent representation that serves as the starting point for extension. The width, height, batch size, and frame offset are derived from this latent. | LATENT | Yes | - | +| `audio_encoder_output` | Optional audio embeddings that can influence video generation based on sound characteristics. When provided, the audio is interpolated and used to create an audio embedding bucket that is added to the conditioning. | AUDIOENCODEROUTPUT | No | - | +| `ref_image` | Optional reference image that provides visual guidance for the video generation. The image is upscaled to match the target dimensions and encoded into a latent, which is then added to both positive and negative conditioning. | IMAGE | No | - | +| `control_video` | Optional control video that can guide the motion and style of the generated video. The video is upscaled, encoded, and added to both positive and negative conditioning. The control video is truncated to the specified `length`. | IMAGE | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Processed positive conditioning with video context applied, including audio embeddings, reference latents, reference motion, and control video if provided | -| `negative` | CONDITIONING | Processed negative conditioning with video context applied, including audio embeddings (zeroed out), reference latents, reference motion, and control video if provided | -| `latent` | LATENT | Generated video latent representation containing the extended video sequence, initialized as zeros with dimensions derived from the input `video_latent` and the target `length` | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Processed positive conditioning with video context applied, including audio embeddings, reference latents, reference motion, and control video if provided | CONDITIONING | +| `negative` | Processed negative conditioning with video context applied, including audio embeddings (zeroed out), reference latents, reference motion, and control video if provided | CONDITIONING | +| `latent` | Generated video latent representation containing the extended video sequence, initialized as zeros with dimensions derived from the input `video_latent` and the target `length` | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/en.md) --- **Source fingerprint (SHA-256):** `73e5aa3dd8085c7c0ed58f5cdafe71db04c20fcc521a965aeb8bbc3364c79031` diff --git a/built-in-nodes/WanTextToImageApi.mdx b/built-in-nodes/WanTextToImageApi.mdx index 673a0c391..47c6fab65 100644 --- a/built-in-nodes/WanTextToImageApi.mdx +++ b/built-in-nodes/WanTextToImageApi.mdx @@ -5,28 +5,28 @@ sidebarTitle: "WanTextToImageApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToImageApi/en.md) - The Wan Text to Image node generates images based on text descriptions. It uses AI models to create visual content from written prompts, supporting both English and Chinese text input. The node provides various controls to adjust the output image size, quality, and style preferences. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | STRING | Yes | "wan2.5-t2i-preview" | Model to use (default: "wan2.5-t2i-preview") | -| `prompt` | STRING | Yes | - | Prompt describing the elements and visual features. Supports English and Chinese (default: empty) | -| `negative_prompt` | STRING | No | - | Negative prompt describing what to avoid (default: empty) | -| `width` | INT | No | 768-1440 | Image width in pixels (default: 1024, step: 32) | -| `height` | INT | No | 768-1440 | Image height in pixels (default: 1024, step: 32) | -| `seed` | INT | No | 0-2147483647 | Seed to use for generation (default: 0) | -| `prompt_extend` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True) | -| `watermark` | BOOLEAN | No | - | Whether to add an AI-generated watermark to the result (default: False) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Model to use (default: "wan2.5-t2i-preview") | STRING | Yes | "wan2.5-t2i-preview" | +| `prompt` | Prompt describing the elements and visual features. Supports English and Chinese (default: empty) | STRING | Yes | - | +| `negative_prompt` | Negative prompt describing what to avoid (default: empty) | STRING | No | - | +| `width` | Image width in pixels (default: 1024, step: 32) | INT | No | 768-1440 | +| `height` | Image height in pixels (default: 1024, step: 32) | INT | No | 768-1440 | +| `seed` | Seed to use for generation (default: 0) | INT | No | 0-2147483647 | +| `prompt_extend` | Whether to enhance the prompt with AI assistance (default: True) | BOOLEAN | No | - | +| `watermark` | Whether to add an AI-generated watermark to the result (default: False) | BOOLEAN | No | - | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | IMAGE | The generated image based on the text prompt | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated image based on the text prompt | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToImageApi/en.md) --- **Source fingerprint (SHA-256):** `4ab8fe7b1e6a0b781b006e03719203b65ed58aec75aaee780d479170ed6425ea` diff --git a/built-in-nodes/WanTextToVideoApi.mdx b/built-in-nodes/WanTextToVideoApi.mdx index 7d10f723d..b935fe4e0 100644 --- a/built-in-nodes/WanTextToVideoApi.mdx +++ b/built-in-nodes/WanTextToVideoApi.mdx @@ -5,33 +5,33 @@ sidebarTitle: "WanTextToVideoApi" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToVideoApi/en.md) - The Wan Text to Video node generates video content based on text descriptions. It uses AI models to create videos from prompts and supports various video sizes, durations, and optional audio inputs. The node can automatically generate audio when needed and provides options for prompt enhancement and watermarking. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | "wan2.5-t2v-preview"
"wan2.6-t2v" | Model to use (default: "wan2.6-t2v") | -| `prompt` | STRING | Yes | - | Prompt describing the elements and visual features. Supports English and Chinese (default: "") | -| `negative_prompt` | STRING | No | - | Negative prompt describing what to avoid (default: "") | -| `size` | COMBO | No | "480p: 1:1 (624x624)"
"480p: 16:9 (832x480)"
"480p: 9:16 (480x832)"
"720p: 1:1 (960x960)"
"720p: 16:9 (1280x720)"
"720p: 9:16 (720x1280)"
"720p: 4:3 (1088x832)"
"720p: 3:4 (832x1088)"
"1080p: 1:1 (1440x1440)"
"1080p: 16:9 (1920x1080)"
"1080p: 9:16 (1080x1920)"
"1080p: 4:3 (1632x1248)"
"1080p: 3:4 (1248x1632)" | Video resolution and aspect ratio (default: "720p: 1:1 (960x960)") | -| `duration` | INT | No | 5-15 (in steps of 5) | Duration of the video in seconds. A 15-second duration is available only for the Wan 2.6 model (default: 5) | -| `audio` | AUDIO | No | - | Audio must contain a clear, loud voice, without extraneous noise or background music | -| `seed` | INT | No | 0-2147483647 | Seed to use for generation (default: 0) | -| `generate_audio` | BOOLEAN | No | - | If no audio input is provided, generate audio automatically (default: False) | -| `prompt_extend` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True) | -| `watermark` | BOOLEAN | No | - | Whether to add an AI-generated watermark to the result (default: False) | -| `shot_type` | COMBO | No | "single"
"multi" | Specifies the shot type for the generated video, that is, whether the video is a single continuous shot or multiple shots with cuts. This parameter takes effect only when prompt_extend is True (default: "single") | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | Model to use (default: "wan2.6-t2v") | COMBO | Yes | "wan2.5-t2v-preview"
"wan2.6-t2v" | +| `prompt` | Prompt describing the elements and visual features. Supports English and Chinese (default: "") | STRING | Yes | - | +| `negative_prompt` | Negative prompt describing what to avoid (default: "") | STRING | No | - | +| `size` | Video resolution and aspect ratio (default: "720p: 1:1 (960x960)") | COMBO | No | "480p: 1:1 (624x624)"
"480p: 16:9 (832x480)"
"480p: 9:16 (480x832)"
"720p: 1:1 (960x960)"
"720p: 16:9 (1280x720)"
"720p: 9:16 (720x1280)"
"720p: 4:3 (1088x832)"
"720p: 3:4 (832x1088)"
"1080p: 1:1 (1440x1440)"
"1080p: 16:9 (1920x1080)"
"1080p: 9:16 (1080x1920)"
"1080p: 4:3 (1632x1248)"
"1080p: 3:4 (1248x1632)" | +| `duration` | Duration of the video in seconds. A 15-second duration is available only for the Wan 2.6 model (default: 5) | INT | No | 5-15 (in steps of 5) | +| `audio` | Audio must contain a clear, loud voice, without extraneous noise or background music | AUDIO | No | - | +| `seed` | Seed to use for generation (default: 0) | INT | No | 0-2147483647 | +| `generate_audio` | If no audio input is provided, generate audio automatically (default: False) | BOOLEAN | No | - | +| `prompt_extend` | Whether to enhance the prompt with AI assistance (default: True) | BOOLEAN | No | - | +| `watermark` | Whether to add an AI-generated watermark to the result (default: False) | BOOLEAN | No | - | +| `shot_type` | Specifies the shot type for the generated video, that is, whether the video is a single continuous shot or multiple shots with cuts. This parameter takes effect only when prompt_extend is True (default: "single") | COMBO | No | "single"
"multi" | **Note:** The Wan 2.6 model does not support 480p resolutions. A 15-second duration is only supported by the Wan 2.6 model. When providing audio input, it must be between 3.0 and 29.0 seconds in duration and contain clear voice without background noise or music. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The generated video based on the input parameters | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The generated video based on the input parameters | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToVideoApi/en.md) --- **Source fingerprint (SHA-256):** `4fbdb2e06ff15849684de860ca3fdf4eb43e6af1803483b4baa7229e584f6e25` diff --git a/built-in-nodes/WanTrackToVideo.mdx b/built-in-nodes/WanTrackToVideo.mdx index 6637b4f33..6ef3b186e 100644 --- a/built-in-nodes/WanTrackToVideo.mdx +++ b/built-in-nodes/WanTrackToVideo.mdx @@ -5,36 +5,36 @@ sidebarTitle: "WanTrackToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTrackToVideo/en.md) - The WanTrackToVideo node converts motion tracking data into video sequences by processing track points and generating corresponding video frames. It takes tracking coordinates as input and produces video conditioning and latent representations that can be used for video generation. When no tracks are provided, it falls back to standard image-to-video conversion. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning for video generation | -| `negative` | CONDITIONING | Yes | - | Negative conditioning for video generation | -| `vae` | VAE | Yes | - | VAE model for encoding and decoding | -| `tracks` | STRING | Yes | - | JSON-formatted tracking data as a multiline string (default: "[]") | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the output video (default: 81, step: 4) | -| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | -| `temperature` | FLOAT | Yes | 1.0 to 1000.0 | Temperature parameter for motion patching (default: 220.0, step: 0.1) | -| `topk` | INT | Yes | 1 to 10 | Top-k value for motion patching (default: 2) | -| `start_image` | IMAGE | No | - | Starting image for video generation | -| `clip_vision_output` | CLIPVISIONOUTPUT | No | - | CLIP vision output for additional conditioning | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning for video generation | CONDITIONING | Yes | - | +| `negative` | Negative conditioning for video generation | CONDITIONING | Yes | - | +| `vae` | VAE model for encoding and decoding | VAE | Yes | - | +| `tracks` | JSON-formatted tracking data as a multiline string (default: "[]") | STRING | Yes | - | +| `width` | Output video width in pixels (default: 832, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Output video height in pixels (default: 480, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | Number of frames in the output video (default: 81, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | Number of videos to generate simultaneously (default: 1) | INT | Yes | 1 to 4096 | +| `temperature` | Temperature parameter for motion patching (default: 220.0, step: 0.1) | FLOAT | Yes | 1.0 to 1000.0 | +| `topk` | Top-k value for motion patching (default: 2) | INT | Yes | 1 to 10 | +| `start_image` | Starting image for video generation | IMAGE | No | - | +| `clip_vision_output` | CLIP vision output for additional conditioning | CLIPVISIONOUTPUT | No | - | **Note:** When `tracks` contains valid tracking data, the node processes motion tracks to generate video. When `tracks` is empty, it switches to standard image-to-video mode. If `start_image` is provided, it initializes the first frame of the video sequence. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Positive conditioning with motion track information applied | -| `negative` | CONDITIONING | Negative conditioning with motion track information applied | -| `latent` | LATENT | Generated video latent representation | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Positive conditioning with motion track information applied | CONDITIONING | +| `negative` | Negative conditioning with motion track information applied | CONDITIONING | +| `latent` | Generated video latent representation | LATENT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTrackToVideo/en.md) --- **Source fingerprint (SHA-256):** `b4855ec033d14139e8071a78b7831694282faaf0399f797341d3a9e9b926100d` diff --git a/built-in-nodes/WanVaceToVideo.mdx b/built-in-nodes/WanVaceToVideo.mdx index e69346d65..9dac968a3 100644 --- a/built-in-nodes/WanVaceToVideo.mdx +++ b/built-in-nodes/WanVaceToVideo.mdx @@ -5,36 +5,36 @@ sidebarTitle: "WanVaceToVideo" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanVaceToVideo/en.md) - The WanVaceToVideo node processes video conditioning data for video generation models. It takes positive and negative conditioning inputs along with video control data and prepares latent representations for video generation. The node handles video upscaling, masking, and VAE encoding to create the appropriate conditioning structure for video models. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | Yes | - | Positive conditioning input for guiding the generation | -| `negative` | CONDITIONING | Yes | - | Negative conditioning input for guiding the generation | -| `vae` | VAE | Yes | - | VAE model used for encoding images and video frames | -| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | -| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video (default: 81, step: 4) | -| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | -| `strength` | FLOAT | Yes | 0.0 to 1000.0 | Control strength for video conditioning (default: 1.0, step: 0.01) | -| `control_video` | IMAGE | No | - | Optional input video for control conditioning. If not provided, a neutral gray video is created automatically. | -| `control_masks` | MASK | No | - | Optional masks for controlling which parts of the video to modify. If not provided, a full white mask is used. | -| `reference_image` | IMAGE | No | - | Optional reference image for additional conditioning. When provided, it is encoded and prepended to the latent sequence. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `positive` | Positive conditioning input for guiding the generation | CONDITIONING | Yes | - | +| `negative` | Negative conditioning input for guiding the generation | CONDITIONING | Yes | - | +| `vae` | VAE model used for encoding images and video frames | VAE | Yes | - | +| `width` | Output video width in pixels (default: 832, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `height` | Output video height in pixels (default: 480, step: 16) | INT | Yes | 16 to MAX_RESOLUTION | +| `length` | Number of frames in the video (default: 81, step: 4) | INT | Yes | 1 to MAX_RESOLUTION | +| `batch_size` | Number of videos to generate simultaneously (default: 1) | INT | Yes | 1 to 4096 | +| `strength` | Control strength for video conditioning (default: 1.0, step: 0.01) | FLOAT | Yes | 0.0 to 1000.0 | +| `control_video` | Optional input video for control conditioning. If not provided, a neutral gray video is created automatically. | IMAGE | No | - | +| `control_masks` | Optional masks for controlling which parts of the video to modify. If not provided, a full white mask is used. | MASK | No | - | +| `reference_image` | Optional reference image for additional conditioning. When provided, it is encoded and prepended to the latent sequence. | IMAGE | No | - | **Note:** When `control_video` is provided, it will be upscaled to match the specified width and height. If `control_masks` are provided, they must match the dimensions of the control video. The `reference_image` is encoded through the VAE and prepended to the latent sequence when provided. The `length` parameter determines the number of frames, and the latent length is calculated as `((length - 1) // 4) + 1`. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | Positive conditioning with video control data (vace_frames, vace_mask, vace_strength) applied | -| `negative` | CONDITIONING | Negative conditioning with video control data (vace_frames, vace_mask, vace_strength) applied | -| `latent` | LATENT | Empty latent tensor ready for video generation with shape [batch_size, 16, latent_length, height/8, width/8] | -| `trim_latent` | INT | Number of latent frames to trim when reference image is used (0 if no reference image is provided) | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `positive` | Positive conditioning with video control data (vace_frames, vace_mask, vace_strength) applied | CONDITIONING | +| `negative` | Negative conditioning with video control data (vace_frames, vace_mask, vace_strength) applied | CONDITIONING | +| `latent` | Empty latent tensor ready for video generation with shape [batch_size, 16, latent_length, height/8, width/8] | LATENT | +| `trim_latent` | Number of latent frames to trim when reference image is used (0 if no reference image is provided) | INT | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanVaceToVideo/en.md) --- **Source fingerprint (SHA-256):** `e31638510efa11e35f297becb4a9f070fdb84d34878868aaf3525e589e5abb0b` diff --git a/built-in-nodes/WavespeedFlashVSRNode.mdx b/built-in-nodes/WavespeedFlashVSRNode.mdx index 67dce8278..b2fd25c47 100644 --- a/built-in-nodes/WavespeedFlashVSRNode.mdx +++ b/built-in-nodes/WavespeedFlashVSRNode.mdx @@ -5,16 +5,14 @@ sidebarTitle: "WavespeedFlashVSRNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md) - The WavespeedFlashVSRNode is a fast, high-quality video upscaler that boosts the resolution and restores clarity for low-resolution or blurry footage. It processes a video input and outputs a new video at a user-selected higher resolution. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | N/A | The input video file to be upscaled. Must be in MP4 container format with a duration between 5 seconds and 10 minutes. | -| `target_resolution` | STRING | Yes | `"720p"`
`"1080p"`
`"2K"`
`"4K"` | The desired resolution for the upscaled output video. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `video` | The input video file to be upscaled. Must be in MP4 container format with a duration between 5 seconds and 10 minutes. | VIDEO | Yes | N/A | +| `target_resolution` | The desired resolution for the upscaled output video. | STRING | Yes | `"720p"`
`"1080p"`
`"2K"`
`"4K"` | **Input Constraints:** @@ -23,9 +21,11 @@ The WavespeedFlashVSRNode is a fast, high-quality video upscaler that boosts the ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `output` | VIDEO | The upscaled video file at the selected target resolution. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `output` | The upscaled video file at the selected target resolution. | VIDEO | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md) --- **Source fingerprint (SHA-256):** `61381d911521ccb8848ef3512749d5cb9e047cd0c1c2bdfc000c5d3ef3360918` diff --git a/built-in-nodes/WavespeedImageUpscaleNode.mdx b/built-in-nodes/WavespeedImageUpscaleNode.mdx index 1f5e11925..3698a3b05 100644 --- a/built-in-nodes/WavespeedImageUpscaleNode.mdx +++ b/built-in-nodes/WavespeedImageUpscaleNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "WavespeedImageUpscaleNode" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/en.md) - The WaveSpeed Image Upscale node uses an external AI service to increase the resolution and quality of an image. It takes a single input photo and upscales it to a higher target resolution, such as 2K, 4K, or 8K, producing a sharper and more detailed result. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | STRING | Yes | `"SeedVR2"`
`"Ultimate"` | The AI model to use for upscaling. "SeedVR2" and "Ultimate" offer different quality and pricing tiers. | -| `image` | IMAGE | Yes | | The input image to be upscaled. Exactly one image is required. | -| `target_resolution` | STRING | Yes | `"2K"`
`"4K"`
`"8K"` | The desired output resolution for the upscaled image. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The AI model to use for upscaling. "SeedVR2" and "Ultimate" offer different quality and pricing tiers. | STRING | Yes | `"SeedVR2"`
`"Ultimate"` | +| `image` | The input image to be upscaled. Exactly one image is required. | IMAGE | Yes | | +| `target_resolution` | The desired output resolution for the upscaled image. | STRING | Yes | `"2K"`
`"4K"`
`"8K"` | **Note:** This node requires exactly one input image. Providing a batch of images will result in an error. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `image` | IMAGE | The upscaled, high-resolution output image. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `image` | The upscaled, high-resolution output image. | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/en.md) --- **Source fingerprint (SHA-256):** `9ed5a897cf067a9dbf8bee95f44cfc02c98349b1520e0f42d5f52c120d248014` diff --git a/built-in-nodes/WebcamCapture.mdx b/built-in-nodes/WebcamCapture.mdx index 802be5e75..b9135f08f 100644 --- a/built-in-nodes/WebcamCapture.mdx +++ b/built-in-nodes/WebcamCapture.mdx @@ -5,26 +5,26 @@ sidebarTitle: "WebcamCapture" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WebcamCapture/en.md) - The WebcamCapture node captures images from a webcam device and converts them into a format that can be used within ComfyUI workflows. It inherits from the LoadImage node and provides options to control the capture dimensions and timing. When enabled, the node can capture new images each time the workflow queue is processed. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `image` | WEBCAM | Yes | - | The webcam input source to capture images from | -| `width` | INT | Yes | 0 to MAX_RESOLUTION | The desired width for the captured image (default: 0, uses webcam's native resolution) | -| `height` | INT | Yes | 0 to MAX_RESOLUTION | The desired height for the captured image (default: 0, uses webcam's native resolution) | -| `capture_on_queue` | BOOLEAN | Yes | - | When enabled, captures a new image each time the workflow queue is processed (default: True) | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `image` | The webcam input source to capture images from | WEBCAM | Yes | - | +| `width` | The desired width for the captured image (default: 0, uses webcam's native resolution) | INT | Yes | 0 to MAX_RESOLUTION | +| `height` | The desired height for the captured image (default: 0, uses webcam's native resolution) | INT | Yes | 0 to MAX_RESOLUTION | +| `capture_on_queue` | When enabled, captures a new image each time the workflow queue is processed (default: True) | BOOLEAN | Yes | - | **Note:** When both `width` and `height` are set to 0, the node uses the webcam's native resolution. Setting either dimension to a non-zero value will resize the captured image accordingly. ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | The captured webcam image converted to ComfyUI's image format | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `IMAGE` | The captured webcam image converted to ComfyUI's image format | IMAGE | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WebcamCapture/en.md) --- **Source fingerprint (SHA-256):** `551368150fc293309f917eabaa066f223b1fa1a016ffd3643b57b80c83f812cc` diff --git a/built-in-nodes/ZImageFunControlnet.mdx b/built-in-nodes/ZImageFunControlnet.mdx index bac759f2f..4f7bb88c9 100644 --- a/built-in-nodes/ZImageFunControlnet.mdx +++ b/built-in-nodes/ZImageFunControlnet.mdx @@ -5,31 +5,31 @@ sidebarTitle: "ZImageFunControlnet" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ZImageFunControlnet/en.md) - The ZImageFunControlnet node applies a specialized control network to influence the image generation or editing process. It uses a base model, a model patch, and a VAE, allowing you to adjust the strength of the control effect. This node can work with a base image, an inpainting image, and a mask for more targeted edits. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | - | The base model used for the generation process. | -| `model_patch` | MODEL_PATCH | Yes | - | A specialized patch model that applies the control network's guidance. | -| `vae` | VAE | Yes | - | The Variational Autoencoder used for encoding and decoding images. | -| `strength` | FLOAT | Yes | -10.0 to 10.0 | The strength of the control network's influence. Positive values apply the effect, while negative values can invert it (default: 1.0). | -| `image` | IMAGE | No | - | An optional base image to guide the generation process. | -| `inpaint_image` | IMAGE | No | - | An optional image used specifically for inpainting areas defined by a mask. | -| `mask` | MASK | No | - | An optional mask that defines which areas of an image should be edited or inpainted. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The base model used for the generation process. | MODEL | Yes | - | +| `model_patch` | A specialized patch model that applies the control network's guidance. | MODEL_PATCH | Yes | - | +| `vae` | The Variational Autoencoder used for encoding and decoding images. | VAE | Yes | - | +| `strength` | The strength of the control network's influence. Positive values apply the effect, while negative values can invert it (default: 1.0). | FLOAT | Yes | -10.0 to 10.0 | +| `image` | An optional base image to guide the generation process. | IMAGE | No | - | +| `inpaint_image` | An optional image used specifically for inpainting areas defined by a mask. | IMAGE | No | - | +| `mask` | An optional mask that defines which areas of an image should be edited or inpainted. | MASK | No | - | **Note:** The `inpaint_image` parameter is typically used in conjunction with a `mask` to specify the content for inpainting. The node's behavior may change based on which optional inputs are provided (e.g., using `image` for guidance or using `image`, `mask`, and `inpaint_image` for inpainting). ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The model with the control network patch applied, ready for use in a sampling pipeline. | -| `positive` | CONDITIONING | The positive conditioning, potentially modified by the control network inputs. | -| `negative` | CONDITIONING | The negative conditioning, potentially modified by the control network inputs. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The model with the control network patch applied, ready for use in a sampling pipeline. | MODEL | +| `positive` | The positive conditioning, potentially modified by the control network inputs. | CONDITIONING | +| `negative` | The negative conditioning, potentially modified by the control network inputs. | CONDITIONING | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ZImageFunControlnet/en.md) --- **Source fingerprint (SHA-256):** `465f9eb0dd60af23e6cdc2031579e404b4fed021738e592ee6acbb6ee57e83a0` diff --git a/built-in-nodes/unCLIPCheckpointLoader.mdx b/built-in-nodes/unCLIPCheckpointLoader.mdx index 0036d9c88..5f4707dd4 100644 --- a/built-in-nodes/unCLIPCheckpointLoader.mdx +++ b/built-in-nodes/unCLIPCheckpointLoader.mdx @@ -11,15 +11,17 @@ The unCLIPCheckpointLoader node is designed for loading checkpoints specifically ## Inputs -| Field | Comfy dtype | Description | -|------------|-------------------|-----------------------------------------------------------------------------------| -| `ckpt_name`| `COMBO[STRING]` | Specifies the name of the checkpoint to be loaded, identifying and retrieving the correct checkpoint file from a predefined directory, determining the initialization of models and configurations. | +| Field | Description | Comfy dtype | +| --- | --- | --- | +| `ckpt_name` | Specifies the name of the checkpoint to be loaded, identifying and retrieving the correct checkpoint file from a predefined directory, determining the initialization of models and configurations. | `COMBO[STRING]` | ## Outputs -| Field | Comfy dtype | Description | Python dtype | -|-------------|---------------|--------------------------------------------------------------------------|---------------------| -| `model` | `MODEL` | Represents the primary model loaded from the checkpoint. | `torch.nn.Module` | -| `clip` | `CLIP` | Represents the CLIP module loaded from the checkpoint, if available. | `torch.nn.Module` | -| `vae` | `VAE` | Represents the VAE module loaded from the checkpoint, if available. | `torch.nn.Module` | -| `clip_vision`| `CLIP_VISION` | Represents the CLIP vision module loaded from the checkpoint, if available.| `torch.nn.Module` | +| Field | Description | Comfy dtype | Python dtype | +| --- | --- | --- | --- | +| `model` | Represents the primary model loaded from the checkpoint. | `MODEL` | `torch.nn.Module` | +| `clip` | Represents the CLIP module loaded from the checkpoint, if available. | `CLIP` | `torch.nn.Module` | +| `vae` | Represents the VAE module loaded from the checkpoint, if available. | `VAE` | `torch.nn.Module` | +| `clip_vision` | Represents the CLIP vision module loaded from the checkpoint, if available. | `CLIP_VISION` | `torch.nn.Module` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/unCLIPCheckpointLoader/en.md) diff --git a/built-in-nodes/unCLIPConditioning.mdx b/built-in-nodes/unCLIPConditioning.mdx index 2d377d0ac..c93cae93a 100644 --- a/built-in-nodes/unCLIPConditioning.mdx +++ b/built-in-nodes/unCLIPConditioning.mdx @@ -5,20 +5,21 @@ sidebarTitle: "unCLIPConditioning" icon: "circle" mode: wide --- - This node is designed to integrate CLIP vision outputs into the conditioning process, adjusting the influence of these outputs based on specified strength and noise augmentation parameters. It enriches the conditioning with visual context, enhancing the generation process. ## Inputs -| Parameter | Comfy dtype | Description | -|------------------------|------------------------|-------------| -| `conditioning` | `CONDITIONING` | The base conditioning data to which the CLIP vision outputs are to be added, serving as the foundation for further modifications. | -| `clip_vision_output` | `CLIP_VISION_OUTPUT` | The output from a CLIP vision model, providing visual context that is integrated into the conditioning. | -| `strength` | `FLOAT` | Determines the intensity of the CLIP vision output's influence on the conditioning. | -| `noise_augmentation` | `FLOAT` | Specifies the level of noise augmentation to apply to the CLIP vision output before integrating it into the conditioning. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `conditioning` | The base conditioning data to which the CLIP vision outputs are to be added, serving as the foundation for further modifications. | `CONDITIONING` | +| `clip_vision_output` | The output from a CLIP vision model, providing visual context that is integrated into the conditioning. | `CLIP_VISION_OUTPUT` | +| `strength` | Determines the intensity of the CLIP vision output's influence on the conditioning. | `FLOAT` | +| `noise_augmentation` | Specifies the level of noise augmentation to apply to the CLIP vision output before integrating it into the conditioning. | `FLOAT` | ## Outputs -| Parameter | Comfy dtype | Description | -|-----------------------|------------------------|-------------| -| `conditioning` | `CONDITIONING` | The enriched conditioning data, now containing integrated CLIP vision outputs with applied strength and noise augmentation. | +| Parameter | Description | Comfy dtype | +| --- | --- | --- | +| `conditioning` | The enriched conditioning data, now containing integrated CLIP vision outputs with applied strength and noise augmentation. | `CONDITIONING` | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/unCLIPConditioning/en.md) diff --git a/built-in-nodes/wanBlockSwap.mdx b/built-in-nodes/wanBlockSwap.mdx index 59a455d98..f3301d6f8 100644 --- a/built-in-nodes/wanBlockSwap.mdx +++ b/built-in-nodes/wanBlockSwap.mdx @@ -5,21 +5,21 @@ sidebarTitle: "wanBlockSwap" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/wanBlockSwap/en.md) - This node is deprecated and serves no function. It accepts a model as input and returns the same model unchanged. The description "NOP" indicates it performs no operation. ## Inputs -| Parameter | Data Type | Required | Range | Description | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | Yes | | The model to pass through the node. | +| Parameter | Description | Data Type | Required | Range | +| --- | --- | --- | --- | --- | +| `model` | The model to pass through the node. | MODEL | Yes | | ## Outputs -| Output Name | Data Type | Description | -|-------------|-----------|-------------| -| `model` | MODEL | The same model that was provided as input, unchanged. | +| Output Name | Description | Data Type | +| --- | --- | --- | +| `model` | The same model that was provided as input, unchanged. | MODEL | + +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/wanBlockSwap/en.md) --- **Source fingerprint (SHA-256):** `7acf88d1c42d90e645bb557c7fdc93e659182927ee7b3e3ef15b0ccf7c3f471a` diff --git a/docs.json b/docs.json index 27ac5b7e3..8b5c470fb 100644 --- a/docs.json +++ b/docs.json @@ -565,64 +565,36 @@ "group": "3D", "pages": [ { - "group": "Partner", + "group": "Conditioning", "pages": [ - { - "group": "Meshy", - "pages": [ - "built-in-nodes/MeshyAnimateModelNode", - "built-in-nodes/MeshyImageToModelNode", - "built-in-nodes/MeshyMultiImageToModelNode", - "built-in-nodes/MeshyRefineNode", - "built-in-nodes/MeshyRigModelNode", - "built-in-nodes/MeshyTextToModelNode", - "built-in-nodes/MeshyTextureNode" - ] - }, - { - "group": "Rodin", - "pages": [ - "built-in-nodes/Rodin3D_Detail", - "built-in-nodes/Rodin3D_Gen2", - "built-in-nodes/Rodin3D_Gen25_Image", - "built-in-nodes/Rodin3D_Gen25_Text", - "built-in-nodes/Rodin3D_Regular", - "built-in-nodes/Rodin3D_Sketch", - "built-in-nodes/Rodin3D_Smooth" - ] - }, - { - "group": "Tencent", - "pages": [ - "built-in-nodes/Tencent3DPartNode", - "built-in-nodes/Tencent3DTextureEditNode", - "built-in-nodes/TencentImageToModelNode", - "built-in-nodes/TencentModelTo3DUVNode", - "built-in-nodes/TencentSmartTopologyNode", - "built-in-nodes/TencentTextToModelNode" - ] - }, - { - "group": "Tripo", - "pages": [ - "built-in-nodes/TripoConversionNode", - "built-in-nodes/TripoImageToModelNode", - "built-in-nodes/TripoMultiviewToModelNode", - "built-in-nodes/TripoP1ImageToModelNode", - "built-in-nodes/TripoP1MultiviewToModelNode", - "built-in-nodes/TripoP1TextToModelNode", - "built-in-nodes/TripoRefineNode", - "built-in-nodes/TripoRetargetNode", - "built-in-nodes/TripoRigNode", - "built-in-nodes/TripoTextToModelNode", - "built-in-nodes/TripoTextureNode" - ] - } + "built-in-nodes/TripoSplatConditioning", + "built-in-nodes/TripoSplatPreprocessImage" + ] + }, + { + "group": "Latent", + "pages": [ + "built-in-nodes/TripoSplatSamplingPreview", + "built-in-nodes/VAEDecodeTripoSplat" + ] + }, + { + "group": "Splat", + "pages": [ + "built-in-nodes/File3DToSplat", + "built-in-nodes/GetSplatCount", + "built-in-nodes/MergeSplat", + "built-in-nodes/RenderSplat", + "built-in-nodes/SplatToFile3D", + "built-in-nodes/SplatToMesh", + "built-in-nodes/TransformSplat" ] }, + "built-in-nodes/CreateCameraInfo", "built-in-nodes/Load3D", "built-in-nodes/Load3DAnimation", "built-in-nodes/Preview3D", + "built-in-nodes/Preview3DAdvanced", "built-in-nodes/Preview3DAnimation", "built-in-nodes/SaveGLB", "built-in-nodes/VoxelToMesh", @@ -862,9 +834,17 @@ "built-in-nodes/SelectVAEDevice" ] }, + "built-in-nodes/GeminiNodeV2", "built-in-nodes/MoonvalleyImg2VideoNode", "built-in-nodes/MoonvalleyTxt2VideoNode", - "built-in-nodes/MoonvalleyVideo2VideoNode" + "built-in-nodes/MoonvalleyVideo2VideoNode", + "built-in-nodes/PreviewGaussianSplat", + "built-in-nodes/PreviewPointCloud", + "built-in-nodes/SaveAudioAdvanced", + "built-in-nodes/SeedVR2Conditioning", + "built-in-nodes/SeedVR2PostProcessing", + "built-in-nodes/SeedVR2Preprocess", + "built-in-nodes/SeedVR2ProgressiveSampler" ] }, { @@ -1012,39 +992,6 @@ { "group": "Audio", "pages": [ - { - "group": "Partner", - "pages": [ - { - "group": "Elevenlabs", - "pages": [ - "built-in-nodes/ElevenLabsAudioIsolation", - "built-in-nodes/ElevenLabsInstantVoiceClone", - "built-in-nodes/ElevenLabsSpeechToSpeech", - "built-in-nodes/ElevenLabsSpeechToText", - "built-in-nodes/ElevenLabsTextToDialogue", - "built-in-nodes/ElevenLabsTextToSoundEffects", - "built-in-nodes/ElevenLabsTextToSpeech", - "built-in-nodes/ElevenLabsVoiceSelector" - ] - }, - { - "group": "Sonilo", - "pages": [ - "built-in-nodes/SoniloTextToMusic", - "built-in-nodes/SoniloVideoToMusic" - ] - }, - { - "group": "Stability Ai", - "pages": [ - "built-in-nodes/StabilityAudioInpaint", - "built-in-nodes/StabilityAudioToAudio", - "built-in-nodes/StabilityTextToAudio" - ] - } - ] - }, "built-in-nodes/AudioAdjustVolume", "built-in-nodes/AudioConcat", "built-in-nodes/AudioEqualizer3Band", @@ -1245,738 +1192,814 @@ ] }, { - "group": "Partner", + "group": "Shader", + "pages": [ + "built-in-nodes/GLSLShader" + ] + }, + { + "group": "Transform", + "pages": [ + "built-in-nodes/CenterCropImages", + "built-in-nodes/CropByBBoxes", + "built-in-nodes/ImageCrop", + "built-in-nodes/ImageCropV2", + "built-in-nodes/ImageFlip", + "built-in-nodes/ImagePadForOutpaint", + "built-in-nodes/ImageRotate", + "built-in-nodes/ImageStitch", + "built-in-nodes/RandomCropImages", + "built-in-nodes/ResizeAndPadImage", + "built-in-nodes/ResizeImagesByLongerEdge", + "built-in-nodes/ResizeImagesByShorterEdge" + ] + }, + { + "group": "Upscaling", + "pages": [ + "built-in-nodes/ImageScale", + "built-in-nodes/ImageScaleBy", + "built-in-nodes/ImageScaleToMaxDimension", + "built-in-nodes/ImageScaleToTotalPixels", + "built-in-nodes/ImageUpscaleWithModel" + ] + }, + { + "group": "Video", + "pages": [ + "built-in-nodes/WanDancerPadKeyframes", + "built-in-nodes/WanDancerPadKeyframesList" + ] + }, + "built-in-nodes/BatchImagesNode", + "built-in-nodes/ConditioningCombine", + "built-in-nodes/EmptyImage", + "built-in-nodes/GetImageSize", + "built-in-nodes/ImageBatch", + "built-in-nodes/ImageCompare", + "built-in-nodes/ImageInvert", + "built-in-nodes/LoadImage", + "built-in-nodes/LoadImageDataSetFromFolder", + "built-in-nodes/LoadImageMask", + "built-in-nodes/LoadImageOutput", + "built-in-nodes/LoadImageSetFromFolderNode", + "built-in-nodes/LoadImageSetNode", + "built-in-nodes/LoadImageTextDataSetFromFolder", + "built-in-nodes/LoadImageTextSetFromFolderNode", + "built-in-nodes/LoraLoader", + "built-in-nodes/LoraLoaderModelOnly", + "built-in-nodes/Painter", + "built-in-nodes/PreviewImage", + "built-in-nodes/ResizeImageMaskNode", + "built-in-nodes/SaveAnimatedPNG", + "built-in-nodes/SaveAnimatedWEBP", + "built-in-nodes/SaveImage", + "built-in-nodes/SaveImageAdvanced", + "built-in-nodes/SaveImageDataSetToFolder", + "built-in-nodes/SaveImageTextDataSetToFolder", + "built-in-nodes/SaveSVGNode", + "built-in-nodes/WebcamCapture" + ] + }, + { + "group": "Latent", + "pages": [ + { + "group": "Video", + "pages": [ + "built-in-nodes/latent/video/trim-video-latent" + ] + } + ] + }, + { + "group": "Loader", + "pages": [ + "built-in-nodes/ControlNetLoader" + ] + }, + { + "group": "Model", + "pages": [ + { + "group": "Conditioning", "pages": [ { - "group": "Beeble", + "group": "3D Models", "pages": [ - "built-in-nodes/BeebleSwitchXImageEdit" + "built-in-nodes/Hunyuan3Dv2Conditioning", + "built-in-nodes/Hunyuan3Dv2ConditioningMultiView", + "built-in-nodes/StableZero123_Conditioning", + "built-in-nodes/StableZero123_Conditioning_Batched", + "built-in-nodes/SV3D_Conditioning" ] }, { - "group": "Bfl", + "group": "Audio", "pages": [ - "built-in-nodes/Flux2ImageNode", - "built-in-nodes/FluxProExpandNode", - "built-in-nodes/FluxProFillNode", - "built-in-nodes/FluxProUltraImageNode" + "built-in-nodes/LTXVReferenceAudio" ] }, { - "group": "Bria", + "group": "Controlnet", "pages": [ - "built-in-nodes/BriaImageEditNode", - "built-in-nodes/BriaRemoveImageBackground" + "built-in-nodes/ControlNetApply", + "built-in-nodes/ControlNetApplyAdvanced", + "built-in-nodes/ControlNetApplySD3", + "built-in-nodes/ControlNetInpaintingAliMamaApply", + "built-in-nodes/SetUnionControlNetType" ] }, { - "group": "Bytedance", + "group": "Gligen", "pages": [ - "built-in-nodes/ByteDanceCreateImageAsset", - "built-in-nodes/ByteDanceImageNode", - "built-in-nodes/ByteDanceSeedreamNode", - "built-in-nodes/ByteDanceSeedreamNodeV2" + "built-in-nodes/GLIGENTextBoxApply" ] }, { - "group": "Gemini", + "group": "Image", "pages": [ - "built-in-nodes/GeminiImage2Node", - "built-in-nodes/GeminiImageNode", - "built-in-nodes/GeminiNanoBanana2", - "built-in-nodes/GeminiNanoBanana2V2" + "built-in-nodes/HiDreamO1ReferenceImages" ] }, { - "group": "Grok", + "group": "Inpaint", "pages": [ - "built-in-nodes/GrokImageEditNode", - "built-in-nodes/GrokImageEditNodeV2", - "built-in-nodes/GrokImageNode" + "built-in-nodes/CosmosImageToVideoLatent", + "built-in-nodes/CosmosPredict2ImageToVideoLatent", + "built-in-nodes/InpaintModelConditioning", + "built-in-nodes/Wan22ImageToVideoLatent" ] }, { - "group": "Hitpaw", + "group": "Instructpix2Pix", "pages": [ - "built-in-nodes/HitPawGeneralImageEnhance" + "built-in-nodes/InstructPixToPixConditioning" ] }, { - "group": "Ideogram", + "group": "Lotus", "pages": [ - "built-in-nodes/IdeogramV1", - "built-in-nodes/IdeogramV2", - "built-in-nodes/IdeogramV3" + "built-in-nodes/LotusConditioning" ] }, { - "group": "Kling", + "group": "Stable Cascade", "pages": [ - "built-in-nodes/KlingImageGenerationNode", - "built-in-nodes/KlingOmniProImageNode", - "built-in-nodes/KlingVirtualTryOnNode" + "built-in-nodes/StableCascade_StageB_Conditioning" ] }, { - "group": "Krea", + "group": "Style Model", "pages": [ - "built-in-nodes/Krea2ImageNode", - "built-in-nodes/Krea2StyleReferenceNode" + "built-in-nodes/StyleModelApply" ] }, { - "group": "Luma", + "group": "Upscale Diffusion", "pages": [ - "built-in-nodes/LumaImageEditNode2", - "built-in-nodes/LumaImageModifyNode", - "built-in-nodes/LumaImageNode", - "built-in-nodes/LumaImageNode2", - "built-in-nodes/LumaReferenceNode" + "built-in-nodes/SD_4XUpscale_Conditioning" ] }, { - "group": "Magnific", + "group": "Video Models", "pages": [ - "built-in-nodes/MagnificImageRelightNode", - "built-in-nodes/MagnificImageSkinEnhancerNode", - "built-in-nodes/MagnificImageStyleTransferNode", - "built-in-nodes/MagnificImageUpscalerCreativeNode", - "built-in-nodes/MagnificImageUpscalerPreciseV2Node" + "built-in-nodes/ARVideoI2V", + "built-in-nodes/GenerateTracks", + "built-in-nodes/GetICLoRAParameters", + "built-in-nodes/HunyuanImageToVideo", + "built-in-nodes/HunyuanRefinerLatent", + "built-in-nodes/HunyuanVideo15ImageToVideo", + "built-in-nodes/HunyuanVideo15SuperResolution", + "built-in-nodes/Kandinsky5ImageToVideo", + "built-in-nodes/LTXVAddGuide", + "built-in-nodes/LTXVConditioning", + "built-in-nodes/LTXVCropGuides", + "built-in-nodes/LTXVImgToVideo", + "built-in-nodes/LTXVImgToVideoInplace", + "built-in-nodes/NormalizeVideoLatentStart", + "built-in-nodes/VOIDInpaintConditioning", + "built-in-nodes/Wan22FunControlToVideo", + "built-in-nodes/WanAnimateToVideo", + "built-in-nodes/WanCameraEmbedding", + "built-in-nodes/WanCameraImageToVideo", + "built-in-nodes/WanDancerEncodeAudio", + "built-in-nodes/WanDancerVideo", + "built-in-nodes/WanFirstLastFrameToVideo", + "built-in-nodes/WanFunControlToVideo", + "built-in-nodes/WanFunInpaintToVideo", + "built-in-nodes/WanHuMoImageToVideo", + "built-in-nodes/WanImageToVideo", + "built-in-nodes/WanInfiniteTalkToVideo", + "built-in-nodes/WanMoveConcatTrack", + "built-in-nodes/WanMoveTracksFromCoords", + "built-in-nodes/WanMoveTrackToVideo", + "built-in-nodes/WanMoveVisualizeTracks", + "built-in-nodes/WanPhantomSubjectToVideo", + "built-in-nodes/WanSCAILToVideo", + "built-in-nodes/WanSoundImageToVideo", + "built-in-nodes/WanSoundImageToVideoExtend", + "built-in-nodes/WanTrackToVideo", + "built-in-nodes/WanVaceToVideo" ] }, + "built-in-nodes/AudioEncoderEncode", + "built-in-nodes/ClipSetLastLayer", + "built-in-nodes/ClipTextEncode", + "built-in-nodes/CLIPTextEncodeLumina2", + "built-in-nodes/ClipVisionEncode", + "built-in-nodes/ConditioningConcat", + "built-in-nodes/ConditioningSetArea", + "built-in-nodes/ConditioningSetAreaPercentage", + "built-in-nodes/ConditioningSetAreaPercentageVideo", + "built-in-nodes/ConditioningSetAreaStrength", + "built-in-nodes/ConditioningSetMask", + "built-in-nodes/ConditioningStableAudio", + "built-in-nodes/TextEncodeAceStepAudio", + "built-in-nodes/TextEncodeAceStepAudio1.5", + "built-in-nodes/unCLIPConditioning" + ] + }, + { + "group": "Latent", + "pages": [ { - "group": "Openai", + "group": "3D", "pages": [ - "built-in-nodes/OpenAIDalle2", - "built-in-nodes/OpenAIDalle3", - "built-in-nodes/OpenAIGPTImage1", - "built-in-nodes/OpenAIGPTImageNodeV2" + "built-in-nodes/EmptyLatentHunyuan3Dv2", + "built-in-nodes/VAEDecodeHunyuan3D" ] }, { - "group": "Quiver", + "group": "Advanced", "pages": [ - "built-in-nodes/QuiverImageToSVGNode", - "built-in-nodes/QuiverTextToSVGNode" + { + "group": "Operations", + "pages": [ + "built-in-nodes/LatentApplyOperation", + "built-in-nodes/LatentApplyOperationCFG", + "built-in-nodes/LatentOperationSharpen", + "built-in-nodes/LatentOperationTonemapReinhard" + ] + }, + "built-in-nodes/LatentAdd", + "built-in-nodes/LatentBatchSeedBehavior", + "built-in-nodes/LatentConcat", + "built-in-nodes/LatentCut", + "built-in-nodes/LatentCutToBatch", + "built-in-nodes/LatentInterpolate", + "built-in-nodes/LatentMultiply", + "built-in-nodes/LatentSubtract" ] }, { - "group": "Recraft", + "group": "Audio", "pages": [ - "built-in-nodes/RecraftColorRGB", - "built-in-nodes/RecraftControls", - "built-in-nodes/RecraftCreateStyleNode", - "built-in-nodes/RecraftCreativeUpscaleNode", - "built-in-nodes/RecraftCrispUpscaleNode", - "built-in-nodes/RecraftImageInpaintingNode", - "built-in-nodes/RecraftImageToImageNode", - "built-in-nodes/RecraftRemoveBackgroundNode", - "built-in-nodes/RecraftReplaceBackgroundNode", - "built-in-nodes/RecraftStyleV3DigitalIllustration", - "built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", - "built-in-nodes/RecraftStyleV3LogoRaster", - "built-in-nodes/RecraftStyleV3RealisticImage", - "built-in-nodes/RecraftStyleV3VectorIllustrationNode", - "built-in-nodes/RecraftTextToImageNode", - "built-in-nodes/RecraftTextToVectorNode", - "built-in-nodes/RecraftV4TextToImageNode", - "built-in-nodes/RecraftV4TextToVectorNode", - "built-in-nodes/RecraftVectorizeImageNode" + "built-in-nodes/EmptyAceStep1.5LatentAudio", + "built-in-nodes/EmptyAceStepLatentAudio", + "built-in-nodes/EmptyLatentAudio", + "built-in-nodes/LTXVAudioVAEDecode", + "built-in-nodes/LTXVAudioVAEEncode", + "built-in-nodes/LTXVEmptyLatentAudio", + "built-in-nodes/VAEDecodeAudio", + "built-in-nodes/VAEDecodeAudioTiled", + "built-in-nodes/VAEEncodeAudio" ] }, { - "group": "Reve", + "group": "Batch", "pages": [ - "built-in-nodes/ReveImageCreateNode", - "built-in-nodes/ReveImageEditNode", - "built-in-nodes/ReveImageRemixNode" + "built-in-nodes/LatentBatch", + "built-in-nodes/LatentFromBatch", + "built-in-nodes/RebatchLatents", + "built-in-nodes/RepeatLatentBatch", + "built-in-nodes/ReplaceVideoLatentFrames" ] }, { - "group": "Runway", + "group": "Chroma Radiance", "pages": [ - "built-in-nodes/RunwayTextToImageNode" + "built-in-nodes/EmptyChromaRadianceLatentImage" ] }, { - "group": "Stability Ai", + "group": "Image", "pages": [ - "built-in-nodes/StabilityStableImageSD_3_5Node", - "built-in-nodes/StabilityStableImageUltraNode", - "built-in-nodes/StabilityUpscaleConservativeNode", - "built-in-nodes/StabilityUpscaleCreativeNode", - "built-in-nodes/StabilityUpscaleFastNode" + "built-in-nodes/EmptyHiDreamO1LatentImage" ] }, { - "group": "Topaz", + "group": "Inpaint", "pages": [ - "built-in-nodes/TopazImageEnhance" + "built-in-nodes/SetLatentNoiseMask", + "built-in-nodes/VAEEncodeForInpaint" ] }, { - "group": "Wan", + "group": "Qwen", "pages": [ - "built-in-nodes/WanImageToImageApi", - "built-in-nodes/WanTextToImageApi" + "built-in-nodes/EmptyQwenImageLayeredLatentImage" ] }, { - "group": "Wavespeed", + "group": "Sd3", "pages": [ - "built-in-nodes/WavespeedImageUpscaleNode" + "built-in-nodes/EmptySD3LatentImage" ] - } - ] - }, - { - "group": "Shader", - "pages": [ - "built-in-nodes/GLSLShader" + }, + { + "group": "Stable Cascade", + "pages": [ + "built-in-nodes/StableCascade_EmptyLatentImage", + "built-in-nodes/StableCascade_StageC_VAEEncode" + ] + }, + { + "group": "Transform", + "pages": [ + "built-in-nodes/LatentCrop", + "built-in-nodes/LatentFlip", + "built-in-nodes/LatentRotate" + ] + }, + { + "group": "Video", + "pages": [ + { + "group": "Ltxv", + "pages": [ + "built-in-nodes/EmptyLTXVLatentVideo", + "built-in-nodes/LTXVConcatAVLatent", + "built-in-nodes/LTXVSeparateAVLatent" + ] + }, + "built-in-nodes/EmptyARVideoLatent", + "built-in-nodes/EmptyCosmosLatentVideo", + "built-in-nodes/EmptyHunyuanLatentVideo", + "built-in-nodes/EmptyHunyuanVideo15Latent", + "built-in-nodes/EmptyMochiLatentVideo", + "built-in-nodes/LTXVLatentUpsampler", + "built-in-nodes/TrimVideoLatent", + "built-in-nodes/VOIDWarpedNoise" + ] + }, + "built-in-nodes/BatchLatentsNode", + "built-in-nodes/EmptyFlux2LatentImage", + "built-in-nodes/EmptyHunyuanImageLatent", + "built-in-nodes/EmptyLatentImage", + "built-in-nodes/HunyuanVideo15LatentUpscaleWithModel", + "built-in-nodes/LatentComposite", + "built-in-nodes/LatentCompositeMasked", + "built-in-nodes/LatentUpscale", + "built-in-nodes/LatentUpscaleBy", + "built-in-nodes/VAEDecode", + "built-in-nodes/VAEEncode" ] }, { - "group": "Transform", + "group": "Loaders", "pages": [ - "built-in-nodes/CenterCropImages", - "built-in-nodes/CropByBBoxes", - "built-in-nodes/ImageCrop", - "built-in-nodes/ImageCropV2", - "built-in-nodes/ImageFlip", - "built-in-nodes/ImagePadForOutpaint", - "built-in-nodes/ImageRotate", - "built-in-nodes/ImageStitch", - "built-in-nodes/RandomCropImages", - "built-in-nodes/ResizeAndPadImage", - "built-in-nodes/ResizeImagesByLongerEdge", - "built-in-nodes/ResizeImagesByShorterEdge" + "built-in-nodes/AudioEncoderLoader", + "built-in-nodes/CheckpointLoaderSimple", + "built-in-nodes/ClipVisionLoader", + "built-in-nodes/DiffControlNetLoader", + "built-in-nodes/FrameInterpolationModelLoader", + "built-in-nodes/GLIGENLoader", + "built-in-nodes/HypernetworkLoader", + "built-in-nodes/ImageOnlyCheckpointLoader", + "built-in-nodes/LatentUpscaleModelLoader", + "built-in-nodes/LoadBackgroundRemovalModel", + "built-in-nodes/LoadMediaPipeFaceLandmarker", + "built-in-nodes/LoadMoGeModel", + "built-in-nodes/LoraLoaderBypass", + "built-in-nodes/LoraLoaderBypassModelOnly", + "built-in-nodes/LoraModelLoader", + "built-in-nodes/LTXVAudioVAELoader", + "built-in-nodes/OpticalFlowLoader", + "built-in-nodes/StyleModelLoader", + "built-in-nodes/unCLIPCheckpointLoader", + "built-in-nodes/UpscaleModelLoader", + "built-in-nodes/VAELoader" ] }, { - "group": "Upscaling", + "group": "Patch", "pages": [ - "built-in-nodes/ImageScale", - "built-in-nodes/ImageScaleBy", - "built-in-nodes/ImageScaleToMaxDimension", - "built-in-nodes/ImageScaleToTotalPixels", - "built-in-nodes/ImageUpscaleWithModel" - ] - }, - { - "group": "Video", - "pages": [ - "built-in-nodes/WanDancerPadKeyframes", - "built-in-nodes/WanDancerPadKeyframesList" + { + "group": "Chroma Radiance", + "pages": [ + "built-in-nodes/ChromaRadianceOptions" + ] + }, + { + "group": "Flux", + "pages": [ + "built-in-nodes/USOStyleReference" + ] + }, + { + "group": "Supir", + "pages": [ + "built-in-nodes/SUPIRApply" + ] + }, + { + "group": "Unet", + "pages": [ + "built-in-nodes/Epsilon Scaling", + "built-in-nodes/FreeU", + "built-in-nodes/FreeU_V2", + "built-in-nodes/HyperTile", + "built-in-nodes/PatchModelAddDownscale", + "built-in-nodes/PerturbedAttentionGuidance", + "built-in-nodes/TemporalScoreRescaling", + "built-in-nodes/TomePatchModel" + ] + }, + "built-in-nodes/ContextWindowsManual", + "built-in-nodes/ScaleROPE", + "built-in-nodes/WanContextWindowsManual" ] }, - "built-in-nodes/BatchImagesNode", - "built-in-nodes/ConditioningCombine", - "built-in-nodes/EmptyImage", - "built-in-nodes/GetImageSize", - "built-in-nodes/ImageBatch", - "built-in-nodes/ImageCompare", - "built-in-nodes/ImageInvert", - "built-in-nodes/LoadImage", - "built-in-nodes/LoadImageDataSetFromFolder", - "built-in-nodes/LoadImageMask", - "built-in-nodes/LoadImageOutput", - "built-in-nodes/LoadImageSetFromFolderNode", - "built-in-nodes/LoadImageSetNode", - "built-in-nodes/LoadImageTextDataSetFromFolder", - "built-in-nodes/LoadImageTextSetFromFolderNode", - "built-in-nodes/LoraLoader", - "built-in-nodes/LoraLoaderModelOnly", - "built-in-nodes/Painter", - "built-in-nodes/PreviewImage", - "built-in-nodes/ResizeImageMaskNode", - "built-in-nodes/SaveAnimatedPNG", - "built-in-nodes/SaveAnimatedWEBP", - "built-in-nodes/SaveImage", - "built-in-nodes/SaveImageAdvanced", - "built-in-nodes/SaveImageDataSetToFolder", - "built-in-nodes/SaveImageTextDataSetToFolder", - "built-in-nodes/SaveSVGNode", - "built-in-nodes/WebcamCapture" - ] - }, - { - "group": "Latent", - "pages": [ - { - "group": "Video", - "pages": [ - "built-in-nodes/latent/video/trim-video-latent" - ] - } - ] - }, - { - "group": "Loader", - "pages": [ - "built-in-nodes/ControlNetLoader" - ] - }, - { - "group": "Model", - "pages": [ { - "group": "Conditioning", + "group": "Sampling", "pages": [ { - "group": "3D Models", + "group": "Custom Sampling", "pages": [ - "built-in-nodes/Hunyuan3Dv2Conditioning", - "built-in-nodes/Hunyuan3Dv2ConditioningMultiView", - "built-in-nodes/StableZero123_Conditioning", - "built-in-nodes/StableZero123_Conditioning_Batched", - "built-in-nodes/SV3D_Conditioning" + "built-in-nodes/APG", + "built-in-nodes/SamplerCustom", + "built-in-nodes/SamplerCustomAdvanced" ] }, { - "group": "Audio", + "group": "Guiders", "pages": [ - "built-in-nodes/LTXVReferenceAudio" + "built-in-nodes/BasicGuider", + "built-in-nodes/CFGGuider", + "built-in-nodes/DualCFGGuider", + "built-in-nodes/DualModelGuider", + "built-in-nodes/VideoLinearCFGGuidance", + "built-in-nodes/VideoTriangleCFGGuidance" ] }, { - "group": "Controlnet", + "group": "Noise", "pages": [ - "built-in-nodes/ControlNetApply", - "built-in-nodes/ControlNetApplyAdvanced", - "built-in-nodes/ControlNetApplySD3", - "built-in-nodes/ControlNetInpaintingAliMamaApply", - "built-in-nodes/SetUnionControlNetType" + "built-in-nodes/DisableNoise", + "built-in-nodes/RandomNoise", + "built-in-nodes/VOIDWarpedNoiseSource" ] }, { - "group": "Gligen", + "group": "Samplers", "pages": [ - "built-in-nodes/GLIGENTextBoxApply" + "built-in-nodes/KSamplerSelect", + "built-in-nodes/SamplerARVideo", + "built-in-nodes/SamplerDPMAdaptative", + "built-in-nodes/SamplerDPMPP_2M_SDE", + "built-in-nodes/SamplerDPMPP_2S_Ancestral", + "built-in-nodes/SamplerDPMPP_3M_SDE", + "built-in-nodes/SamplerDPMPP_SDE", + "built-in-nodes/SamplerER_SDE", + "built-in-nodes/SamplerEulerAncestral", + "built-in-nodes/SamplerEulerAncestralCFGPP", + "built-in-nodes/SamplerLCM", + "built-in-nodes/SamplerLCMUpscale", + "built-in-nodes/SamplerLMS", + "built-in-nodes/SamplerSASolver", + "built-in-nodes/SamplerSEEDS2", + "built-in-nodes/VOIDSampler" ] }, { - "group": "Image", + "group": "Schedulers", "pages": [ - "built-in-nodes/HiDreamO1ReferenceImages" + "built-in-nodes/AlignYourStepsScheduler", + "built-in-nodes/BasicScheduler", + "built-in-nodes/BetaSamplingScheduler", + "built-in-nodes/ExponentialScheduler", + "built-in-nodes/Flux2Scheduler", + "built-in-nodes/GITSScheduler", + "built-in-nodes/KarrasScheduler", + "built-in-nodes/LaplaceScheduler", + "built-in-nodes/LTXVScheduler", + "built-in-nodes/OptimalStepsScheduler", + "built-in-nodes/PolyexponentialScheduler", + "built-in-nodes/SDTurboScheduler", + "built-in-nodes/VPScheduler" ] }, { - "group": "Inpaint", + "group": "Sigmas", "pages": [ - "built-in-nodes/CosmosImageToVideoLatent", - "built-in-nodes/CosmosPredict2ImageToVideoLatent", - "built-in-nodes/InpaintModelConditioning", - "built-in-nodes/Wan22ImageToVideoLatent" + "built-in-nodes/ExtendIntermediateSigmas", + "built-in-nodes/FlipSigmas", + "built-in-nodes/SamplingPercentToSigma", + "built-in-nodes/SetFirstSigma", + "built-in-nodes/SplitSigmas", + "built-in-nodes/SplitSigmasDenoise" ] }, + "built-in-nodes/KSampler", + "built-in-nodes/KSamplerAdvanced" + ] + }, + { + "group": "Training", + "pages": [ + "built-in-nodes/LoadTrainingDataset", + "built-in-nodes/LossGraphNode", + "built-in-nodes/MakeTrainingDataset", + "built-in-nodes/ResolutionBucket", + "built-in-nodes/SaveTrainingDataset", + "built-in-nodes/TrainLoraNode" + ] + } + ] + }, + { + "group": "Partner", + "pages": [ + { + "group": "3D", + "pages": [ { - "group": "Instructpix2Pix", + "group": "Meshy", "pages": [ - "built-in-nodes/InstructPixToPixConditioning" + "built-in-nodes/MeshyAnimateModelNode", + "built-in-nodes/MeshyImageToModelNode", + "built-in-nodes/MeshyMultiImageToModelNode", + "built-in-nodes/MeshyRefineNode", + "built-in-nodes/MeshyRigModelNode", + "built-in-nodes/MeshyTextToModelNode", + "built-in-nodes/MeshyTextureNode" ] }, { - "group": "Lotus", + "group": "Rodin", "pages": [ - "built-in-nodes/LotusConditioning" + "built-in-nodes/Rodin3D_Detail", + "built-in-nodes/Rodin3D_Gen2", + "built-in-nodes/Rodin3D_Gen25_Image", + "built-in-nodes/Rodin3D_Gen25_Text", + "built-in-nodes/Rodin3D_Regular", + "built-in-nodes/Rodin3D_Sketch", + "built-in-nodes/Rodin3D_Smooth" ] }, { - "group": "Stable Cascade", + "group": "Tencent", "pages": [ - "built-in-nodes/StableCascade_StageB_Conditioning" + "built-in-nodes/Tencent3DPartNode", + "built-in-nodes/Tencent3DTextureEditNode", + "built-in-nodes/TencentImageToModelNode", + "built-in-nodes/TencentModelTo3DUVNode", + "built-in-nodes/TencentSmartTopologyNode", + "built-in-nodes/TencentTextToModelNode" ] }, { - "group": "Style Model", + "group": "Tripo", "pages": [ - "built-in-nodes/StyleModelApply" + "built-in-nodes/TripoConversionNode", + "built-in-nodes/TripoImageToModelNode", + "built-in-nodes/TripoMultiviewToModelNode", + "built-in-nodes/TripoP1ImageToModelNode", + "built-in-nodes/TripoP1MultiviewToModelNode", + "built-in-nodes/TripoP1TextToModelNode", + "built-in-nodes/TripoRefineNode", + "built-in-nodes/TripoRetargetNode", + "built-in-nodes/TripoRigNode", + "built-in-nodes/TripoTextToModelNode", + "built-in-nodes/TripoTextureNode" ] - }, + } + ] + }, + { + "group": "Audio", + "pages": [ { - "group": "Upscale Diffusion", + "group": "Elevenlabs", "pages": [ - "built-in-nodes/SD_4XUpscale_Conditioning" + "built-in-nodes/ElevenLabsAudioIsolation", + "built-in-nodes/ElevenLabsInstantVoiceClone", + "built-in-nodes/ElevenLabsSpeechToSpeech", + "built-in-nodes/ElevenLabsSpeechToText", + "built-in-nodes/ElevenLabsTextToDialogue", + "built-in-nodes/ElevenLabsTextToSoundEffects", + "built-in-nodes/ElevenLabsTextToSpeech", + "built-in-nodes/ElevenLabsVoiceSelector" ] }, { - "group": "Video Models", + "group": "Sonilo", "pages": [ - "built-in-nodes/ARVideoI2V", - "built-in-nodes/GenerateTracks", - "built-in-nodes/GetICLoRAParameters", - "built-in-nodes/HunyuanImageToVideo", - "built-in-nodes/HunyuanRefinerLatent", - "built-in-nodes/HunyuanVideo15ImageToVideo", - "built-in-nodes/HunyuanVideo15SuperResolution", - "built-in-nodes/Kandinsky5ImageToVideo", - "built-in-nodes/LTXVAddGuide", - "built-in-nodes/LTXVConditioning", - "built-in-nodes/LTXVCropGuides", - "built-in-nodes/LTXVImgToVideo", - "built-in-nodes/LTXVImgToVideoInplace", - "built-in-nodes/NormalizeVideoLatentStart", - "built-in-nodes/VOIDInpaintConditioning", - "built-in-nodes/Wan22FunControlToVideo", - "built-in-nodes/WanAnimateToVideo", - "built-in-nodes/WanCameraEmbedding", - "built-in-nodes/WanCameraImageToVideo", - "built-in-nodes/WanDancerEncodeAudio", - "built-in-nodes/WanDancerVideo", - "built-in-nodes/WanFirstLastFrameToVideo", - "built-in-nodes/WanFunControlToVideo", - "built-in-nodes/WanFunInpaintToVideo", - "built-in-nodes/WanHuMoImageToVideo", - "built-in-nodes/WanImageToVideo", - "built-in-nodes/WanInfiniteTalkToVideo", - "built-in-nodes/WanMoveConcatTrack", - "built-in-nodes/WanMoveTracksFromCoords", - "built-in-nodes/WanMoveTrackToVideo", - "built-in-nodes/WanMoveVisualizeTracks", - "built-in-nodes/WanPhantomSubjectToVideo", - "built-in-nodes/WanSCAILToVideo", - "built-in-nodes/WanSoundImageToVideo", - "built-in-nodes/WanSoundImageToVideoExtend", - "built-in-nodes/WanTrackToVideo", - "built-in-nodes/WanVaceToVideo" + "built-in-nodes/SoniloTextToMusic", + "built-in-nodes/SoniloVideoToMusic" ] }, - "built-in-nodes/AudioEncoderEncode", - "built-in-nodes/ClipSetLastLayer", - "built-in-nodes/ClipTextEncode", - "built-in-nodes/CLIPTextEncodeLumina2", - "built-in-nodes/ClipVisionEncode", - "built-in-nodes/ConditioningConcat", - "built-in-nodes/ConditioningSetArea", - "built-in-nodes/ConditioningSetAreaPercentage", - "built-in-nodes/ConditioningSetAreaPercentageVideo", - "built-in-nodes/ConditioningSetAreaStrength", - "built-in-nodes/ConditioningSetMask", - "built-in-nodes/ConditioningStableAudio", - "built-in-nodes/TextEncodeAceStepAudio", - "built-in-nodes/TextEncodeAceStepAudio1.5", - "built-in-nodes/unCLIPConditioning" + { + "group": "Stability Ai", + "pages": [ + "built-in-nodes/StabilityAudioInpaint", + "built-in-nodes/StabilityAudioToAudio", + "built-in-nodes/StabilityTextToAudio" + ] + } ] }, { - "group": "Latent", + "group": "Image", "pages": [ { - "group": "3D", + "group": "Beeble", "pages": [ - "built-in-nodes/EmptyLatentHunyuan3Dv2", - "built-in-nodes/VAEDecodeHunyuan3D" + "built-in-nodes/BeebleSwitchXImageEdit" ] }, { - "group": "Advanced", + "group": "Bfl", "pages": [ - { - "group": "Operations", - "pages": [ - "built-in-nodes/LatentApplyOperation", - "built-in-nodes/LatentApplyOperationCFG", - "built-in-nodes/LatentOperationSharpen", - "built-in-nodes/LatentOperationTonemapReinhard" - ] - }, - "built-in-nodes/LatentAdd", - "built-in-nodes/LatentBatchSeedBehavior", - "built-in-nodes/LatentConcat", - "built-in-nodes/LatentCut", - "built-in-nodes/LatentCutToBatch", - "built-in-nodes/LatentInterpolate", - "built-in-nodes/LatentMultiply", - "built-in-nodes/LatentSubtract" + "built-in-nodes/Flux2ImageNode", + "built-in-nodes/FluxEraseNode", + "built-in-nodes/FluxProExpandNode", + "built-in-nodes/FluxProFillNode", + "built-in-nodes/FluxProUltraImageNode", + "built-in-nodes/FluxVTONode" ] }, { - "group": "Audio", + "group": "Bria", "pages": [ - "built-in-nodes/EmptyAceStep1.5LatentAudio", - "built-in-nodes/EmptyAceStepLatentAudio", - "built-in-nodes/EmptyLatentAudio", - "built-in-nodes/LTXVAudioVAEDecode", - "built-in-nodes/LTXVAudioVAEEncode", - "built-in-nodes/LTXVEmptyLatentAudio", - "built-in-nodes/VAEDecodeAudio", - "built-in-nodes/VAEDecodeAudioTiled", - "built-in-nodes/VAEEncodeAudio" + "built-in-nodes/BriaImageEditNode", + "built-in-nodes/BriaRemoveImageBackground" ] }, { - "group": "Batch", + "group": "Bytedance", "pages": [ - "built-in-nodes/LatentBatch", - "built-in-nodes/LatentFromBatch", - "built-in-nodes/RebatchLatents", - "built-in-nodes/RepeatLatentBatch", - "built-in-nodes/ReplaceVideoLatentFrames" + "built-in-nodes/ByteDanceCreateImageAsset", + "built-in-nodes/ByteDanceImageNode", + "built-in-nodes/ByteDanceSeedreamNode", + "built-in-nodes/ByteDanceSeedreamNodeV2" ] }, { - "group": "Chroma Radiance", + "group": "Gemini", "pages": [ - "built-in-nodes/EmptyChromaRadianceLatentImage" + "built-in-nodes/GeminiImage2Node", + "built-in-nodes/GeminiImageNode", + "built-in-nodes/GeminiNanoBanana2", + "built-in-nodes/GeminiNanoBanana2V2" ] }, { - "group": "Image", + "group": "Grok", "pages": [ - "built-in-nodes/EmptyHiDreamO1LatentImage" + "built-in-nodes/GrokImageEditNode", + "built-in-nodes/GrokImageEditNodeV2", + "built-in-nodes/GrokImageNode" ] }, { - "group": "Inpaint", + "group": "Hitpaw", "pages": [ - "built-in-nodes/SetLatentNoiseMask", - "built-in-nodes/VAEEncodeForInpaint" + "built-in-nodes/HitPawGeneralImageEnhance" ] }, { - "group": "Qwen", + "group": "Ideogram", "pages": [ - "built-in-nodes/EmptyQwenImageLayeredLatentImage" + "built-in-nodes/IdeogramV1", + "built-in-nodes/IdeogramV2", + "built-in-nodes/IdeogramV3", + "built-in-nodes/IdeogramV4" ] }, { - "group": "Sd3", + "group": "Kling", "pages": [ - "built-in-nodes/EmptySD3LatentImage" + "built-in-nodes/KlingImageGenerationNode", + "built-in-nodes/KlingOmniProImageNode", + "built-in-nodes/KlingVirtualTryOnNode" ] }, { - "group": "Stable Cascade", + "group": "Krea", "pages": [ - "built-in-nodes/StableCascade_EmptyLatentImage", - "built-in-nodes/StableCascade_StageC_VAEEncode" + "built-in-nodes/Krea2ImageNode", + "built-in-nodes/Krea2StyleReferenceNode" ] }, { - "group": "Transform", + "group": "Luma", "pages": [ - "built-in-nodes/LatentCrop", - "built-in-nodes/LatentFlip", - "built-in-nodes/LatentRotate" + "built-in-nodes/LumaImageEditNode2", + "built-in-nodes/LumaImageModifyNode", + "built-in-nodes/LumaImageNode", + "built-in-nodes/LumaImageNode2", + "built-in-nodes/LumaReferenceNode" ] }, { - "group": "Video", + "group": "Magnific", "pages": [ - { - "group": "Ltxv", - "pages": [ - "built-in-nodes/EmptyLTXVLatentVideo", - "built-in-nodes/LTXVConcatAVLatent", - "built-in-nodes/LTXVSeparateAVLatent" - ] - }, - "built-in-nodes/EmptyARVideoLatent", - "built-in-nodes/EmptyCosmosLatentVideo", - "built-in-nodes/EmptyHunyuanLatentVideo", - "built-in-nodes/EmptyHunyuanVideo15Latent", - "built-in-nodes/EmptyMochiLatentVideo", - "built-in-nodes/LTXVLatentUpsampler", - "built-in-nodes/TrimVideoLatent", - "built-in-nodes/VOIDWarpedNoise" + "built-in-nodes/MagnificImageRelightNode", + "built-in-nodes/MagnificImageSkinEnhancerNode", + "built-in-nodes/MagnificImageStyleTransferNode", + "built-in-nodes/MagnificImageUpscalerCreativeNode", + "built-in-nodes/MagnificImageUpscalerPreciseV2Node" ] }, - "built-in-nodes/BatchLatentsNode", - "built-in-nodes/EmptyFlux2LatentImage", - "built-in-nodes/EmptyHunyuanImageLatent", - "built-in-nodes/EmptyLatentImage", - "built-in-nodes/HunyuanVideo15LatentUpscaleWithModel", - "built-in-nodes/LatentComposite", - "built-in-nodes/LatentCompositeMasked", - "built-in-nodes/LatentUpscale", - "built-in-nodes/LatentUpscaleBy", - "built-in-nodes/VAEDecode", - "built-in-nodes/VAEEncode" - ] - }, - { - "group": "Loaders", - "pages": [ - "built-in-nodes/AudioEncoderLoader", - "built-in-nodes/CheckpointLoaderSimple", - "built-in-nodes/ClipVisionLoader", - "built-in-nodes/DiffControlNetLoader", - "built-in-nodes/FrameInterpolationModelLoader", - "built-in-nodes/GLIGENLoader", - "built-in-nodes/HypernetworkLoader", - "built-in-nodes/ImageOnlyCheckpointLoader", - "built-in-nodes/LatentUpscaleModelLoader", - "built-in-nodes/LoadBackgroundRemovalModel", - "built-in-nodes/LoadMediaPipeFaceLandmarker", - "built-in-nodes/LoadMoGeModel", - "built-in-nodes/LoraLoaderBypass", - "built-in-nodes/LoraLoaderBypassModelOnly", - "built-in-nodes/LoraModelLoader", - "built-in-nodes/LTXVAudioVAELoader", - "built-in-nodes/OpticalFlowLoader", - "built-in-nodes/StyleModelLoader", - "built-in-nodes/unCLIPCheckpointLoader", - "built-in-nodes/UpscaleModelLoader", - "built-in-nodes/VAELoader" - ] - }, - { - "group": "Patch", - "pages": [ { - "group": "Chroma Radiance", + "group": "Openai", "pages": [ - "built-in-nodes/ChromaRadianceOptions" + "built-in-nodes/OpenAIDalle2", + "built-in-nodes/OpenAIDalle3", + "built-in-nodes/OpenAIGPTImage1", + "built-in-nodes/OpenAIGPTImageNodeV2" ] }, { - "group": "Flux", + "group": "Quiver", "pages": [ - "built-in-nodes/USOStyleReference" + "built-in-nodes/QuiverImageToSVGNode", + "built-in-nodes/QuiverTextToSVGNode" ] }, { - "group": "Supir", + "group": "Recraft", "pages": [ - "built-in-nodes/SUPIRApply" + "built-in-nodes/RecraftColorRGB", + "built-in-nodes/RecraftControls", + "built-in-nodes/RecraftCreateStyleNode", + "built-in-nodes/RecraftCreativeUpscaleNode", + "built-in-nodes/RecraftCrispUpscaleNode", + "built-in-nodes/RecraftImageInpaintingNode", + "built-in-nodes/RecraftImageToImageNode", + "built-in-nodes/RecraftRemoveBackgroundNode", + "built-in-nodes/RecraftReplaceBackgroundNode", + "built-in-nodes/RecraftStyleV3DigitalIllustration", + "built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", + "built-in-nodes/RecraftStyleV3LogoRaster", + "built-in-nodes/RecraftStyleV3RealisticImage", + "built-in-nodes/RecraftStyleV3VectorIllustrationNode", + "built-in-nodes/RecraftTextToImageNode", + "built-in-nodes/RecraftTextToVectorNode", + "built-in-nodes/RecraftV4TextToImageNode", + "built-in-nodes/RecraftV4TextToVectorNode", + "built-in-nodes/RecraftVectorizeImageNode" ] }, { - "group": "Unet", - "pages": [ - "built-in-nodes/Epsilon Scaling", - "built-in-nodes/FreeU", - "built-in-nodes/FreeU_V2", - "built-in-nodes/HyperTile", - "built-in-nodes/PatchModelAddDownscale", - "built-in-nodes/PerturbedAttentionGuidance", - "built-in-nodes/TemporalScoreRescaling", - "built-in-nodes/TomePatchModel" - ] - }, - "built-in-nodes/ContextWindowsManual", - "built-in-nodes/ScaleROPE", - "built-in-nodes/WanContextWindowsManual" - ] - }, - { - "group": "Sampling", - "pages": [ - { - "group": "Custom Sampling", - "pages": [ - "built-in-nodes/APG", - "built-in-nodes/SamplerCustom", - "built-in-nodes/SamplerCustomAdvanced" - ] - }, - { - "group": "Guiders", + "group": "Reve", "pages": [ - "built-in-nodes/BasicGuider", - "built-in-nodes/CFGGuider", - "built-in-nodes/DualCFGGuider", - "built-in-nodes/VideoLinearCFGGuidance", - "built-in-nodes/VideoTriangleCFGGuidance" + "built-in-nodes/ReveImageCreateNode", + "built-in-nodes/ReveImageEditNode", + "built-in-nodes/ReveImageRemixNode" ] }, { - "group": "Noise", + "group": "Runway", "pages": [ - "built-in-nodes/DisableNoise", - "built-in-nodes/RandomNoise", - "built-in-nodes/VOIDWarpedNoiseSource" + "built-in-nodes/RunwayTextToImageNode" ] }, { - "group": "Samplers", + "group": "Stability Ai", "pages": [ - "built-in-nodes/KSamplerSelect", - "built-in-nodes/SamplerARVideo", - "built-in-nodes/SamplerDPMAdaptative", - "built-in-nodes/SamplerDPMPP_2M_SDE", - "built-in-nodes/SamplerDPMPP_2S_Ancestral", - "built-in-nodes/SamplerDPMPP_3M_SDE", - "built-in-nodes/SamplerDPMPP_SDE", - "built-in-nodes/SamplerER_SDE", - "built-in-nodes/SamplerEulerAncestral", - "built-in-nodes/SamplerEulerAncestralCFGPP", - "built-in-nodes/SamplerLCM", - "built-in-nodes/SamplerLCMUpscale", - "built-in-nodes/SamplerLMS", - "built-in-nodes/SamplerSASolver", - "built-in-nodes/SamplerSEEDS2", - "built-in-nodes/VOIDSampler" + "built-in-nodes/StabilityStableImageSD_3_5Node", + "built-in-nodes/StabilityStableImageUltraNode", + "built-in-nodes/StabilityUpscaleConservativeNode", + "built-in-nodes/StabilityUpscaleCreativeNode", + "built-in-nodes/StabilityUpscaleFastNode" ] }, { - "group": "Schedulers", + "group": "Topaz", "pages": [ - "built-in-nodes/AlignYourStepsScheduler", - "built-in-nodes/BasicScheduler", - "built-in-nodes/BetaSamplingScheduler", - "built-in-nodes/ExponentialScheduler", - "built-in-nodes/Flux2Scheduler", - "built-in-nodes/GITSScheduler", - "built-in-nodes/KarrasScheduler", - "built-in-nodes/LaplaceScheduler", - "built-in-nodes/LTXVScheduler", - "built-in-nodes/OptimalStepsScheduler", - "built-in-nodes/PolyexponentialScheduler", - "built-in-nodes/SDTurboScheduler", - "built-in-nodes/VPScheduler" + "built-in-nodes/TopazImageEnhance" ] }, { - "group": "Sigmas", + "group": "Wan", "pages": [ - "built-in-nodes/ExtendIntermediateSigmas", - "built-in-nodes/FlipSigmas", - "built-in-nodes/SamplingPercentToSigma", - "built-in-nodes/SetFirstSigma", - "built-in-nodes/SplitSigmas", - "built-in-nodes/SplitSigmasDenoise" + "built-in-nodes/WanImageToImageApi", + "built-in-nodes/WanTextToImageApi" ] }, - "built-in-nodes/KSampler", - "built-in-nodes/KSamplerAdvanced" - ] - }, - { - "group": "Training", - "pages": [ - "built-in-nodes/LoadTrainingDataset", - "built-in-nodes/LossGraphNode", - "built-in-nodes/MakeTrainingDataset", - "built-in-nodes/ResolutionBucket", - "built-in-nodes/SaveTrainingDataset", - "built-in-nodes/TrainLoraNode" - ] - } - ] - }, - { - "group": "Sampling", - "pages": [ - { - "group": "Custom Sampling", - "pages": [ { - "group": "Samplers", + "group": "Wavespeed", "pages": [ - "built-in-nodes/SamplerDpmpp2mSde", - "built-in-nodes/SamplerDpmppSde" + "built-in-nodes/WavespeedImageUpscaleNode" ] } ] - } - ] - }, - { - "group": "Text", - "pages": [ + }, { - "group": "Partner", + "group": "Text", "pages": [ { "group": "Anthropic", @@ -2013,88 +2036,8 @@ } ] }, - "built-in-nodes/AddTextPrefix", - "built-in-nodes/AddTextSuffix", - "built-in-nodes/CaseConverter", - "built-in-nodes/JsonExtractString", - "built-in-nodes/MergeTextLists", - "built-in-nodes/RegexExtract", - "built-in-nodes/RegexMatch", - "built-in-nodes/RegexReplace", - "built-in-nodes/ReplaceText", - "built-in-nodes/StringCompare", - "built-in-nodes/StringConcatenate", - "built-in-nodes/StringContains", - "built-in-nodes/StringFormat", - "built-in-nodes/StringLength", - "built-in-nodes/StringReplace", - "built-in-nodes/StringSubstring", - "built-in-nodes/StringTrim", - "built-in-nodes/StripWhitespace", - "built-in-nodes/TextGenerate", - "built-in-nodes/TextGenerateLTX2Prompt", - "built-in-nodes/TextToLowercase", - "built-in-nodes/TextToUppercase", - "built-in-nodes/TruncateText" - ] - }, - { - "group": "Utilities", - "pages": [ - { - "group": "Logic", - "pages": [ - "built-in-nodes/AutogrowNamesTestNode", - "built-in-nodes/AutogrowPrefixTestNode", - "built-in-nodes/ComboOptionTestNode", - "built-in-nodes/ComfyAndNode", - "built-in-nodes/ComfyNotNode", - "built-in-nodes/ComfyOrNode", - "built-in-nodes/ComfySoftSwitchNode", - "built-in-nodes/ComfySwitchNode", - "built-in-nodes/ConvertStringToComboNode", - "built-in-nodes/DCTestNode", - "built-in-nodes/InvertBooleanNode" - ] - }, - { - "group": "Primitive", - "pages": [ - "built-in-nodes/PrimitiveBoolean", - "built-in-nodes/PrimitiveBoundingBox", - "built-in-nodes/PrimitiveFloat", - "built-in-nodes/PrimitiveInt", - "built-in-nodes/PrimitiveString", - "built-in-nodes/PrimitiveStringMultiline" - ] - }, - "built-in-nodes/ColorToRGBInt", - "built-in-nodes/ComfyMathExpression", - "built-in-nodes/ComfyNumberConvert", - "built-in-nodes/CreateList", - "built-in-nodes/CurveEditor", - "built-in-nodes/CustomCombo", - "built-in-nodes/ImageHistogram", - "built-in-nodes/PreviewAny", - "built-in-nodes/ResolutionSelector" - ] - }, - { - "group": "Utils", - "pages": [ - "built-in-nodes/BatchImagesMasksLatentsNode", - "built-in-nodes/MarkdownNote", - "built-in-nodes/Note", - "built-in-nodes/Reroute", - "built-in-nodes/TerminalLog", - "built-in-nodes/wanBlockSwap" - ] - }, - { - "group": "Video", - "pages": [ { - "group": "Partner", + "group": "Video", "pages": [ { "group": "Beeble", @@ -2105,7 +2048,10 @@ { "group": "Bria", "pages": [ - "built-in-nodes/BriaRemoveVideoBackground" + "built-in-nodes/BriaRemoveVideoBackground", + "built-in-nodes/BriaTransparentVideoBackground", + "built-in-nodes/BriaVideoGreenScreen", + "built-in-nodes/BriaVideoReplaceBackground" ] }, { @@ -2267,35 +2213,144 @@ ] } ] - }, + } + ] + }, + { + "group": "Sampling", + "pages": [ { - "group": "Preprocessors", + "group": "Custom Sampling", "pages": [ - "built-in-nodes/LTXVPreprocess" + { + "group": "Samplers", + "pages": [ + "built-in-nodes/SamplerDpmpp2mSde", + "built-in-nodes/SamplerDpmppSde" + ] + }, + { + "group": "Schedulers", + "pages": [ + "built-in-nodes/Ideogram4Scheduler" + ] + }, + "built-in-nodes/CFGOverride" ] - }, - "built-in-nodes/CreateVideo", - "built-in-nodes/FrameInterpolate", - "built-in-nodes/GetVideoComponents", - "built-in-nodes/LoadVideo", - "built-in-nodes/SaveVideo", - "built-in-nodes/SaveWEBM", - "built-in-nodes/Video Slice" + } ] - } - ] - } - ] - }, - { - "tab": "Development", - "pages": [ - "development/overview", - { - "group": "ComfyUI APIs", - "icon": "computer", - "pages": [ - "development/api-development/overview", + }, + { + "group": "Text", + "pages": [ + "built-in-nodes/AddTextPrefix", + "built-in-nodes/AddTextSuffix", + "built-in-nodes/CaseConverter", + "built-in-nodes/JsonExtractString", + "built-in-nodes/MergeTextLists", + "built-in-nodes/RegexExtract", + "built-in-nodes/RegexMatch", + "built-in-nodes/RegexReplace", + "built-in-nodes/ReplaceText", + "built-in-nodes/StringCompare", + "built-in-nodes/StringConcatenate", + "built-in-nodes/StringContains", + "built-in-nodes/StringFormat", + "built-in-nodes/StringLength", + "built-in-nodes/StringReplace", + "built-in-nodes/StringSubstring", + "built-in-nodes/StringTrim", + "built-in-nodes/StripWhitespace", + "built-in-nodes/TextGenerate", + "built-in-nodes/TextGenerateLTX2Prompt", + "built-in-nodes/TextToLowercase", + "built-in-nodes/TextToUppercase", + "built-in-nodes/TruncateText" + ] + }, + { + "group": "Utilities", + "pages": [ + { + "group": "Logic", + "pages": [ + "built-in-nodes/AutogrowNamesTestNode", + "built-in-nodes/AutogrowPrefixTestNode", + "built-in-nodes/ComboOptionTestNode", + "built-in-nodes/ComfyAndNode", + "built-in-nodes/ComfyNotNode", + "built-in-nodes/ComfyOrNode", + "built-in-nodes/ComfySoftSwitchNode", + "built-in-nodes/ComfySwitchNode", + "built-in-nodes/ConvertStringToComboNode", + "built-in-nodes/DCTestNode", + "built-in-nodes/InvertBooleanNode" + ] + }, + { + "group": "Primitive", + "pages": [ + "built-in-nodes/PrimitiveBoolean", + "built-in-nodes/PrimitiveBoundingBox", + "built-in-nodes/PrimitiveFloat", + "built-in-nodes/PrimitiveInt", + "built-in-nodes/PrimitiveString", + "built-in-nodes/PrimitiveStringMultiline" + ] + }, + "built-in-nodes/ColorToRGBInt", + "built-in-nodes/ComfyMathExpression", + "built-in-nodes/ComfyNumberConvert", + "built-in-nodes/CreateList", + "built-in-nodes/CurveEditor", + "built-in-nodes/CustomCombo", + "built-in-nodes/ImageHistogram", + "built-in-nodes/PreviewAny", + "built-in-nodes/ResolutionSelector" + ] + }, + { + "group": "Utils", + "pages": [ + "built-in-nodes/BatchImagesMasksLatentsNode", + "built-in-nodes/MarkdownNote", + "built-in-nodes/Note", + "built-in-nodes/Reroute", + "built-in-nodes/TerminalLog", + "built-in-nodes/wanBlockSwap" + ] + }, + { + "group": "Video", + "pages": [ + { + "group": "Preprocessors", + "pages": [ + "built-in-nodes/LTXVPreprocess" + ] + }, + "built-in-nodes/CreateVideo", + "built-in-nodes/FrameInterpolate", + "built-in-nodes/GetVideoComponents", + "built-in-nodes/LoadVideo", + "built-in-nodes/SaveVideo", + "built-in-nodes/SaveWEBM", + "built-in-nodes/Video Slice" + ] + } + ] + } + ] + }, + { + "tab": "Development", + "pages": [ + "development/overview", + { + "group": "ComfyUI APIs", + "icon": "computer", + "pages": [ + "development/api-development/overview", { "group": "Cloud API", "icon": "cloud", @@ -2618,7 +2673,7 @@ ] }, { - "group": "教程示例", + "group": "教程", "icon": "book", "pages": [ { @@ -2644,7 +2699,7 @@ ] }, { - "group": "Image", + "group": "图像", "pages": [ { "group": "Flux", @@ -2676,12 +2731,6 @@ "zh/tutorials/image/z-image/z-image-turbo" ] }, - { - "group": "Ovis", - "pages": [ - "zh/tutorials/image/ovis/ovis-image" - ] - }, { "group": "HiDream", "pages": [ @@ -2690,12 +2739,24 @@ "zh/tutorials/image/hidream/hidream-o1" ] }, + { + "group": "Ovis", + "pages": [ + "zh/tutorials/image/ovis/ovis-image" + ] + }, { "group": "NewBie-image", "pages": [ "zh/tutorials/image/newbie-image/newbie-image-exp-0-1" ] }, + { + "group": "ERNIE-Image", + "pages": [ + "zh/tutorials/image/ernie-image/ernie-image" + ] + }, { "group": "Anima", "pages": [ @@ -2728,7 +2789,7 @@ "group": "3D", "pages": [ "zh/tutorials/3d/triposplat", - "tutorials/3d/hunyuan3D-2" + "zh/tutorials/3d/hunyuan3D-2" ] }, { @@ -2751,7 +2812,7 @@ ] }, { - "group": "万相视频", + "group": "Wan 视频", "pages": [ "zh/tutorials/video/wan/wan2_2", "zh/tutorials/video/wan/wan2-2-animate", @@ -2776,7 +2837,7 @@ ] }, { - "group": "腾讯混元", + "group": "Hunyuan", "pages": [ "zh/tutorials/video/hunyuan/hunyuan-video", "zh/tutorials/video/hunyuan/hunyuan-video-1-5" @@ -2821,7 +2882,7 @@ ] }, { - "group": "Utility", + "group": "实用工具", "pages": [ "zh/tutorials/utility/preprocessors", "zh/tutorials/utility/frame-interpolation", @@ -3029,64 +3090,36 @@ "group": "3D", "pages": [ { - "group": "Partner", + "group": "条件", "pages": [ - { - "group": "Meshy", - "pages": [ - "zh/built-in-nodes/MeshyAnimateModelNode", - "zh/built-in-nodes/MeshyImageToModelNode", - "zh/built-in-nodes/MeshyMultiImageToModelNode", - "zh/built-in-nodes/MeshyRefineNode", - "zh/built-in-nodes/MeshyRigModelNode", - "zh/built-in-nodes/MeshyTextToModelNode", - "zh/built-in-nodes/MeshyTextureNode" - ] - }, - { - "group": "Rodin", - "pages": [ - "zh/built-in-nodes/Rodin3D_Detail", - "zh/built-in-nodes/Rodin3D_Gen2", - "zh/built-in-nodes/Rodin3D_Gen25_Image", - "zh/built-in-nodes/Rodin3D_Gen25_Text", - "zh/built-in-nodes/Rodin3D_Regular", - "zh/built-in-nodes/Rodin3D_Sketch", - "zh/built-in-nodes/Rodin3D_Smooth" - ] - }, - { - "group": "Tencent", - "pages": [ - "zh/built-in-nodes/Tencent3DPartNode", - "zh/built-in-nodes/Tencent3DTextureEditNode", - "zh/built-in-nodes/TencentImageToModelNode", - "zh/built-in-nodes/TencentModelTo3DUVNode", - "zh/built-in-nodes/TencentSmartTopologyNode", - "zh/built-in-nodes/TencentTextToModelNode" - ] - }, - { - "group": "Tripo", - "pages": [ - "zh/built-in-nodes/TripoConversionNode", - "zh/built-in-nodes/TripoImageToModelNode", - "zh/built-in-nodes/TripoMultiviewToModelNode", - "zh/built-in-nodes/TripoP1ImageToModelNode", - "zh/built-in-nodes/TripoP1MultiviewToModelNode", - "zh/built-in-nodes/TripoP1TextToModelNode", - "zh/built-in-nodes/TripoRefineNode", - "zh/built-in-nodes/TripoRetargetNode", - "zh/built-in-nodes/TripoRigNode", - "zh/built-in-nodes/TripoTextToModelNode", - "zh/built-in-nodes/TripoTextureNode" - ] - } + "zh/built-in-nodes/TripoSplatConditioning", + "zh/built-in-nodes/TripoSplatPreprocessImage" + ] + }, + { + "group": "潜空间", + "pages": [ + "zh/built-in-nodes/TripoSplatSamplingPreview", + "zh/built-in-nodes/VAEDecodeTripoSplat" + ] + }, + { + "group": "Splat", + "pages": [ + "zh/built-in-nodes/File3DToSplat", + "zh/built-in-nodes/GetSplatCount", + "zh/built-in-nodes/MergeSplat", + "zh/built-in-nodes/RenderSplat", + "zh/built-in-nodes/SplatToFile3D", + "zh/built-in-nodes/SplatToMesh", + "zh/built-in-nodes/TransformSplat" ] }, + "zh/built-in-nodes/CreateCameraInfo", "zh/built-in-nodes/Load3D", "zh/built-in-nodes/Load3DAnimation", "zh/built-in-nodes/Preview3D", + "zh/built-in-nodes/Preview3DAdvanced", "zh/built-in-nodes/Preview3DAnimation", "zh/built-in-nodes/SaveGLB", "zh/built-in-nodes/VoxelToMesh", @@ -3094,88 +3127,254 @@ ] }, { - "group": "API Node", + "group": "高级", "pages": [ { - "group": "Image", + "group": "条件", "pages": [ { - "group": "Bfl", + "group": "音频", "pages": [ - "zh/built-in-nodes/FluxProCannyNode", - "zh/built-in-nodes/FluxProDepthNode", - "zh/built-in-nodes/FluxProImageNode" + "zh/built-in-nodes/ReferenceTimbreAudio" ] }, { - "group": "Bytedance", - "pages": [ - "zh/built-in-nodes/ByteDanceImageEditNode" - ] - } - ] - }, - { - "group": "Video", - "pages": [ - { - "group": "Google", + "group": "编辑模型", "pages": [ - "zh/built-in-nodes/partner-node/video/google/google-veo2-video" + "zh/built-in-nodes/ReferenceLatent" ] }, { - "group": "Kling", + "group": "Flux", "pages": [ - "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v", - "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v", - "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-controls", - "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video", - "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video", - "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video" + "zh/built-in-nodes/ClipTextEncodeFlux", + "zh/built-in-nodes/FluxDisableGuidance", + "zh/built-in-nodes/FluxGuidance", + "zh/built-in-nodes/FluxKontextImageScale", + "zh/built-in-nodes/FluxKontextMultiReferenceLatentMethod" ] }, { - "group": "Luma", + "group": "Kandinsky5", "pages": [ - "zh/built-in-nodes/partner-node/video/luma/luma-concepts", - "zh/built-in-nodes/partner-node/video/luma/luma-image-to-video", - "zh/built-in-nodes/partner-node/video/luma/luma-text-to-video" + "zh/built-in-nodes/CLIPTextEncodeKandinsky5" ] }, + "zh/built-in-nodes/CLIPTextEncodeHiDream", + "zh/built-in-nodes/ClipTextEncodeHunyuanDit", + "zh/built-in-nodes/CLIPTextEncodePixArtAlpha", + "zh/built-in-nodes/CLIPTextEncodeSD3", + "zh/built-in-nodes/ClipTextEncodeSdxl", + "zh/built-in-nodes/ClipTextEncodeSdxlRefiner", + "zh/built-in-nodes/ConditioningSetTimestepRange", + "zh/built-in-nodes/ConditioningZeroOut", + "zh/built-in-nodes/PiDConditioning", + "zh/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo", + "zh/built-in-nodes/TextEncodeQwenImageEdit", + "zh/built-in-nodes/TextEncodeQwenImageEditPlus", + "zh/built-in-nodes/TextEncodeZImageOmni" + ] + }, + { + "group": "调试", + "pages": [ { - "group": "MiniMax", + "group": "模型", "pages": [ - "zh/built-in-nodes/partner-node/video/minimax/minimax-image-to-video", - "zh/built-in-nodes/partner-node/video/minimax/minimax-text-to-video" - ] - }, + "zh/built-in-nodes/EasyCache", + "zh/built-in-nodes/LazyCache", + "zh/built-in-nodes/ModelComputeDtype" + ] + } + ] + }, + { + "group": "引导", + "pages": [ + "zh/built-in-nodes/CFGNorm", + "zh/built-in-nodes/CFGZeroStar", + "zh/built-in-nodes/NAGuidance", + "zh/built-in-nodes/SkipLayerGuidanceDiT", + "zh/built-in-nodes/SkipLayerGuidanceDiTSimple", + "zh/built-in-nodes/SkipLayerGuidanceSD3", + "zh/built-in-nodes/TCFG" + ] + }, + { + "group": "钩子", + "pages": [ { - "group": "Pika", + "group": "Clip", "pages": [ - "zh/built-in-nodes/partner-node/video/pika/pika-image-to-video", - "zh/built-in-nodes/partner-node/video/pika/pika-scenes", - "zh/built-in-nodes/partner-node/video/pika/pika-text-to-video", - "zh/built-in-nodes/Pikadditions", - "zh/built-in-nodes/Pikaffects", - "zh/built-in-nodes/PikaImageToVideoNode2_2", - "zh/built-in-nodes/PikaScenesV2_2", - "zh/built-in-nodes/PikaStartEndFrameNode2_2", - "zh/built-in-nodes/Pikaswaps", - "zh/built-in-nodes/PikaTextToVideoNode2_2" + "zh/built-in-nodes/SetClipHooks" ] }, { - "group": "PixVerse", + "group": "合并", "pages": [ - "zh/built-in-nodes/partner-node/video/pixverse/pixverse-image-to-video", - "zh/built-in-nodes/partner-node/video/pixverse/pixverse-template", - "zh/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video", - "zh/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video" + "zh/built-in-nodes/CombineHooks", + "zh/built-in-nodes/CombineHooksEight", + "zh/built-in-nodes/CombineHooksFour" ] - } + }, + { + "group": "条件对", + "pages": [ + "zh/built-in-nodes/PairConditioningCombine", + "zh/built-in-nodes/PairConditioningSetDefaultAndCombine", + "zh/built-in-nodes/PairConditioningSetProperties", + "zh/built-in-nodes/PairConditioningSetPropertiesAndCombine" + ] + }, + { + "group": "条件单", + "pages": [ + "zh/built-in-nodes/ConditioningSetDefaultAndCombine", + "zh/built-in-nodes/ConditioningSetProperties", + "zh/built-in-nodes/ConditioningSetPropertiesAndCombine" + ] + }, + { + "group": "创建", + "pages": [ + "zh/built-in-nodes/CreateHookLora", + "zh/built-in-nodes/CreateHookLoraModelOnly", + "zh/built-in-nodes/CreateHookModelAsLora", + "zh/built-in-nodes/CreateHookModelAsLoraModelOnly" + ] + }, + { + "group": "手册", + "pages": [ + "zh/built-in-nodes/SetModelHooksOnCond" + ] + }, + { + "group": "调度", + "pages": [ + "zh/built-in-nodes/CreateHookKeyframe", + "zh/built-in-nodes/CreateHookKeyframesFromFloats", + "zh/built-in-nodes/CreateHookKeyframesInterpolated", + "zh/built-in-nodes/SetHookKeyframes" + ] + }, + "zh/built-in-nodes/ConditioningTimestepsRange" + ] + }, + { + "group": "加载器", + "pages": [ + { + "group": "已弃用", + "pages": [ + "zh/built-in-nodes/DiffusersLoader" + ] + }, + { + "group": "Qwen", + "pages": [ + "zh/built-in-nodes/QwenImageDiffsynthControlnet" + ] + }, + { + "group": "Zimage", + "pages": [ + "zh/built-in-nodes/ZImageFunControlnet" + ] + }, + "zh/built-in-nodes/CheckpointLoader", + "zh/built-in-nodes/ClipLoader", + "zh/built-in-nodes/DeprecatedCheckpointLoader", + "zh/built-in-nodes/DeprecatedDiffusersLoader", + "zh/built-in-nodes/DualCLIPLoader", + "zh/built-in-nodes/LTXAVTextEncoderLoader", + "zh/built-in-nodes/ModelPatchLoader", + "zh/built-in-nodes/QuadrupleCLIPLoader", + "zh/built-in-nodes/TripleCLIPLoader", + "zh/built-in-nodes/UNETLoader" + ] + }, + { + "group": "模型", + "pages": [ + "zh/built-in-nodes/HiDreamO1PatchSeamSmoothing", + "zh/built-in-nodes/ModelNoiseScale", + "zh/built-in-nodes/ModelSamplingAuraFlow", + "zh/built-in-nodes/ModelSamplingContinuousEDM", + "zh/built-in-nodes/ModelSamplingContinuousV", + "zh/built-in-nodes/ModelSamplingDiscrete", + "zh/built-in-nodes/ModelSamplingFlux", + "zh/built-in-nodes/ModelSamplingLTXV", + "zh/built-in-nodes/ModelSamplingSD3", + "zh/built-in-nodes/ModelSamplingStableCascade", + "zh/built-in-nodes/RenormCFG", + "zh/built-in-nodes/RescaleCFG" + ] + }, + { + "group": "模型合并", + "pages": [ + { + "group": "模型特定", + "pages": [ + "zh/built-in-nodes/ModelMergeAuraflow", + "zh/built-in-nodes/ModelMergeCosmos14B", + "zh/built-in-nodes/ModelMergeCosmos7B", + "zh/built-in-nodes/ModelMergeCosmosPredict2_14B", + "zh/built-in-nodes/ModelMergeCosmosPredict2_2B", + "zh/built-in-nodes/ModelMergeFlux1", + "zh/built-in-nodes/ModelMergeLTXV", + "zh/built-in-nodes/ModelMergeMochiPreview", + "zh/built-in-nodes/ModelMergeQwenImage", + "zh/built-in-nodes/ModelMergeSD1", + "zh/built-in-nodes/ModelMergeSD35_Large", + "zh/built-in-nodes/ModelMergeSD3_2B", + "zh/built-in-nodes/ModelMergeSDXL", + "zh/built-in-nodes/ModelMergeWAN2_1" + ] + }, + "zh/built-in-nodes/CheckpointSave", + "zh/built-in-nodes/CLIPMergeAdd", + "zh/built-in-nodes/ClipMergeSimple", + "zh/built-in-nodes/CLIPMergeSubtract", + "zh/built-in-nodes/ClipSave", + "zh/built-in-nodes/ImageOnlyCheckpointSave", + "zh/built-in-nodes/ModelMergeAdd", + "zh/built-in-nodes/ModelMergeBlocks", + "zh/built-in-nodes/ModelMergeSimple", + "zh/built-in-nodes/ModelMergeSubtract", + "zh/built-in-nodes/ModelSave", + "zh/built-in-nodes/SaveLoRA", + "zh/built-in-nodes/SaveLoRANode", + "zh/built-in-nodes/VAESave" + ] + }, + { + "group": "多GPU", + "pages": [ + "zh/built-in-nodes/MultiGPU_Options", + "zh/built-in-nodes/MultiGPU_WorkUnits", + "zh/built-in-nodes/SelectCLIPDevice", + "zh/built-in-nodes/SelectModelDevice", + "zh/built-in-nodes/SelectVAEDevice" ] }, + "zh/built-in-nodes/GeminiNodeV2", + "zh/built-in-nodes/MoonvalleyImg2VideoNode", + "zh/built-in-nodes/MoonvalleyTxt2VideoNode", + "zh/built-in-nodes/MoonvalleyVideo2VideoNode", + "zh/built-in-nodes/PreviewGaussianSplat", + "zh/built-in-nodes/PreviewPointCloud", + "zh/built-in-nodes/SaveAudioAdvanced", + "zh/built-in-nodes/SeedVR2Conditioning", + "zh/built-in-nodes/SeedVR2PostProcessing", + "zh/built-in-nodes/SeedVR2Preprocess", + "zh/built-in-nodes/SeedVR2ProgressiveSampler" + ] + }, + { + "group": "API Node", + "pages": [ { "group": "图像", "pages": [ @@ -3185,6 +3384,20 @@ "zh/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image" ] }, + { + "group": "Bfl", + "pages": [ + "zh/built-in-nodes/FluxProCannyNode", + "zh/built-in-nodes/FluxProDepthNode", + "zh/built-in-nodes/FluxProImageNode" + ] + }, + { + "group": "Bytedance", + "pages": [ + "zh/built-in-nodes/ByteDanceImageEditNode" + ] + }, { "group": "Ideogram", "pages": [ @@ -3237,85 +3450,130 @@ ] } ] - } - ] - }, - { - "group": "Audio", - "pages": [ + }, { - "group": "Partner", + "group": "视频", "pages": [ { - "group": "Elevenlabs", + "group": "Google", "pages": [ - "zh/built-in-nodes/ElevenLabsAudioIsolation", - "zh/built-in-nodes/ElevenLabsInstantVoiceClone", - "zh/built-in-nodes/ElevenLabsSpeechToSpeech", - "zh/built-in-nodes/ElevenLabsSpeechToText", - "zh/built-in-nodes/ElevenLabsTextToDialogue", - "zh/built-in-nodes/ElevenLabsTextToSoundEffects", - "zh/built-in-nodes/ElevenLabsTextToSpeech", - "zh/built-in-nodes/ElevenLabsVoiceSelector" + "zh/built-in-nodes/partner-node/video/google/google-veo2-video" ] }, { - "group": "Sonilo", + "group": "Kling", "pages": [ - "zh/built-in-nodes/SoniloTextToMusic", - "zh/built-in-nodes/SoniloVideoToMusic" + "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v", + "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v", + "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-controls", + "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video", + "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video", + "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video" ] }, { - "group": "Stability Ai", + "group": "Luma", "pages": [ - "zh/built-in-nodes/StabilityAudioInpaint", - "zh/built-in-nodes/StabilityAudioToAudio", - "zh/built-in-nodes/StabilityTextToAudio" + "zh/built-in-nodes/partner-node/video/luma/luma-concepts", + "zh/built-in-nodes/partner-node/video/luma/luma-image-to-video", + "zh/built-in-nodes/partner-node/video/luma/luma-text-to-video" ] - } - ] - }, - "zh/built-in-nodes/AudioAdjustVolume", - "zh/built-in-nodes/AudioConcat", - "zh/built-in-nodes/AudioEqualizer3Band", - "zh/built-in-nodes/AudioMerge", - "zh/built-in-nodes/EmptyAudio", - "zh/built-in-nodes/JoinAudioChannels", - "zh/built-in-nodes/LoadAudio", - "zh/built-in-nodes/PreviewAudio", - "zh/built-in-nodes/RecordAudio", - "zh/built-in-nodes/SaveAudio", - "zh/built-in-nodes/SaveAudioMP3", - "zh/built-in-nodes/SaveAudioOpus", - "zh/built-in-nodes/SplitAudioChannels", - "zh/built-in-nodes/TrimAudioDuration" - ] - }, - { - "group": "Experimental", - "pages": [ - { - "group": "Attention Experiments", - "pages": [ - "zh/built-in-nodes/CLIPAttentionMultiply", - "zh/built-in-nodes/UNetCrossAttentionMultiply", + }, + { + "group": "MiniMax", + "pages": [ + "zh/built-in-nodes/partner-node/video/minimax/minimax-image-to-video", + "zh/built-in-nodes/partner-node/video/minimax/minimax-text-to-video" + ] + }, + { + "group": "Pika", + "pages": [ + "zh/built-in-nodes/partner-node/video/pika/pika-image-to-video", + "zh/built-in-nodes/partner-node/video/pika/pika-scenes", + "zh/built-in-nodes/partner-node/video/pika/pika-text-to-video", + "zh/built-in-nodes/Pikadditions", + "zh/built-in-nodes/Pikaffects", + "zh/built-in-nodes/PikaImageToVideoNode2_2", + "zh/built-in-nodes/PikaScenesV2_2", + "zh/built-in-nodes/PikaStartEndFrameNode2_2", + "zh/built-in-nodes/Pikaswaps", + "zh/built-in-nodes/PikaTextToVideoNode2_2" + ] + }, + { + "group": "PixVerse", + "pages": [ + "zh/built-in-nodes/partner-node/video/pixverse/pixverse-image-to-video", + "zh/built-in-nodes/partner-node/video/pixverse/pixverse-template", + "zh/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video", + "zh/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video" + ] + } + ] + } + ] + }, + { + "group": "音频", + "pages": [ + "zh/built-in-nodes/AudioAdjustVolume", + "zh/built-in-nodes/AudioConcat", + "zh/built-in-nodes/AudioEqualizer3Band", + "zh/built-in-nodes/AudioMerge", + "zh/built-in-nodes/EmptyAudio", + "zh/built-in-nodes/JoinAudioChannels", + "zh/built-in-nodes/LoadAudio", + "zh/built-in-nodes/PreviewAudio", + "zh/built-in-nodes/RecordAudio", + "zh/built-in-nodes/SaveAudio", + "zh/built-in-nodes/SaveAudioMP3", + "zh/built-in-nodes/SaveAudioOpus", + "zh/built-in-nodes/SplitAudioChannels", + "zh/built-in-nodes/TrimAudioDuration" + ] + }, + { + "group": "条件", + "pages": [ + { + "group": "视频模型", + "pages": [ + "zh/built-in-nodes/conditioning/video-models/wan-vace-to-video", + "zh/built-in-nodes/Stablezero123Conditioning", + "zh/built-in-nodes/Stablezero123ConditioningBatched", + "zh/built-in-nodes/SVD_img2vid_Conditioning", + "zh/built-in-nodes/SvdImg2vidConditioning" + ] + }, + "zh/built-in-nodes/ConditioningAverage", + "zh/built-in-nodes/Sd4xupscaleConditioning" + ] + }, + { + "group": "实验性", + "pages": [ + { + "group": "注意力实验", + "pages": [ + "zh/built-in-nodes/CLIPAttentionMultiply", + "zh/built-in-nodes/UNetCrossAttentionMultiply", "zh/built-in-nodes/UNetSelfAttentionMultiply", "zh/built-in-nodes/UNetTemporalAttentionMultiply" ] }, { - "group": "Conditioning", + "group": "条件", "pages": [ "zh/built-in-nodes/CLIPTextEncodeControlnet", "zh/built-in-nodes/T5TokenizerOptions" ] }, { - "group": "Custom Sampling", + "group": "自定义采样", "pages": [ { - "group": "Noise", + "group": "噪声", "pages": [ "zh/built-in-nodes/AddNoise" ] @@ -3354,277 +3612,469 @@ ] }, { - "group": "Model", + "group": "图像", "pages": [ { - "group": "Conditioning", + "group": "调整", "pages": [ - { - "group": "3D Models", - "pages": [ - "zh/built-in-nodes/Hunyuan3Dv2Conditioning", - "zh/built-in-nodes/Hunyuan3Dv2ConditioningMultiView", - "zh/built-in-nodes/StableZero123_Conditioning", - "zh/built-in-nodes/StableZero123_Conditioning_Batched", - "zh/built-in-nodes/SV3D_Conditioning" - ] - }, - { - "group": "Audio", - "pages": [ - "zh/built-in-nodes/LTXVReferenceAudio" - ] - }, - { - "group": "Controlnet", - "pages": [ - "zh/built-in-nodes/ControlNetApply", - "zh/built-in-nodes/ControlNetApplyAdvanced", - "zh/built-in-nodes/ControlNetApplySD3", - "zh/built-in-nodes/ControlNetInpaintingAliMamaApply", - "zh/built-in-nodes/SetUnionControlNetType" - ] - }, - { - "group": "Gligen", - "pages": [ - "zh/built-in-nodes/GLIGENTextBoxApply" - ] - }, - { - "group": "Image", - "pages": [ - "zh/built-in-nodes/HiDreamO1ReferenceImages" - ] - }, - { - "group": "Inpaint", - "pages": [ - "zh/built-in-nodes/CosmosImageToVideoLatent", - "zh/built-in-nodes/CosmosPredict2ImageToVideoLatent", - "zh/built-in-nodes/InpaintModelConditioning", - "zh/built-in-nodes/Wan22ImageToVideoLatent" - ] - }, - { - "group": "Instructpix2Pix", - "pages": [ - "zh/built-in-nodes/InstructPixToPixConditioning" - ] - }, - { - "group": "Lotus", - "pages": [ - "zh/built-in-nodes/LotusConditioning" - ] - }, - { - "group": "Stable Cascade", - "pages": [ - "zh/built-in-nodes/StableCascade_StageB_Conditioning" - ] - }, - { - "group": "Style Model", - "pages": [ - "zh/built-in-nodes/StyleModelApply" - ] - }, - { - "group": "Upscale Diffusion", - "pages": [ - "zh/built-in-nodes/SD_4XUpscale_Conditioning" - ] - }, - { - "group": "Video Models", - "pages": [ - "zh/built-in-nodes/ARVideoI2V", - "zh/built-in-nodes/GenerateTracks", - "zh/built-in-nodes/GetICLoRAParameters", - "zh/built-in-nodes/HunyuanImageToVideo", - "zh/built-in-nodes/HunyuanRefinerLatent", - "zh/built-in-nodes/HunyuanVideo15ImageToVideo", - "zh/built-in-nodes/HunyuanVideo15SuperResolution", - "zh/built-in-nodes/Kandinsky5ImageToVideo", - "zh/built-in-nodes/LTXVAddGuide", - "zh/built-in-nodes/LTXVConditioning", - "zh/built-in-nodes/LTXVCropGuides", - "zh/built-in-nodes/LTXVImgToVideo", - "zh/built-in-nodes/LTXVImgToVideoInplace", - "zh/built-in-nodes/NormalizeVideoLatentStart", - "zh/built-in-nodes/VOIDInpaintConditioning", - "zh/built-in-nodes/Wan22FunControlToVideo", - "zh/built-in-nodes/WanAnimateToVideo", - "zh/built-in-nodes/WanCameraEmbedding", - "zh/built-in-nodes/WanCameraImageToVideo", - "zh/built-in-nodes/WanDancerEncodeAudio", - "zh/built-in-nodes/WanDancerVideo", - "zh/built-in-nodes/WanFirstLastFrameToVideo", - "zh/built-in-nodes/WanFunControlToVideo", - "zh/built-in-nodes/WanFunInpaintToVideo", - "zh/built-in-nodes/WanHuMoImageToVideo", - "zh/built-in-nodes/WanImageToVideo", - "zh/built-in-nodes/WanInfiniteTalkToVideo", - "zh/built-in-nodes/WanMoveConcatTrack", - "zh/built-in-nodes/WanMoveTracksFromCoords", - "zh/built-in-nodes/WanMoveTrackToVideo", - "zh/built-in-nodes/WanMoveVisualizeTracks", - "zh/built-in-nodes/WanPhantomSubjectToVideo", - "zh/built-in-nodes/WanSCAILToVideo", - "zh/built-in-nodes/WanSoundImageToVideo", - "zh/built-in-nodes/WanSoundImageToVideoExtend", - "zh/built-in-nodes/WanTrackToVideo", - "zh/built-in-nodes/WanVaceToVideo" - ] - }, - "zh/built-in-nodes/AudioEncoderEncode", - "zh/built-in-nodes/ClipSetLastLayer", - "zh/built-in-nodes/ClipTextEncode", - "zh/built-in-nodes/CLIPTextEncodeLumina2", - "zh/built-in-nodes/ClipVisionEncode", - "zh/built-in-nodes/ConditioningConcat", - "zh/built-in-nodes/ConditioningSetArea", - "zh/built-in-nodes/ConditioningSetAreaPercentage", - "zh/built-in-nodes/ConditioningSetAreaPercentageVideo", - "zh/built-in-nodes/ConditioningSetAreaStrength", - "zh/built-in-nodes/ConditioningSetMask", - "zh/built-in-nodes/ConditioningStableAudio", - "zh/built-in-nodes/TextEncodeAceStepAudio", - "zh/built-in-nodes/TextEncodeAceStepAudio1.5", - "zh/built-in-nodes/unCLIPConditioning" + "zh/built-in-nodes/AdjustBrightness", + "zh/built-in-nodes/AdjustContrast" ] }, { - "group": "Latent", + "group": "背景去除", "pages": [ - { - "group": "3D", - "pages": [ - "zh/built-in-nodes/EmptyLatentHunyuan3Dv2", - "zh/built-in-nodes/VAEDecodeHunyuan3D" - ] - }, - { - "group": "Advanced", - "pages": [ - { - "group": "Operations", - "pages": [ - "zh/built-in-nodes/LatentApplyOperation", - "zh/built-in-nodes/LatentApplyOperationCFG", - "zh/built-in-nodes/LatentOperationSharpen", - "zh/built-in-nodes/LatentOperationTonemapReinhard" - ] - }, - "zh/built-in-nodes/LatentAdd", - "zh/built-in-nodes/LatentBatchSeedBehavior", - "zh/built-in-nodes/LatentConcat", - "zh/built-in-nodes/LatentCut", - "zh/built-in-nodes/LatentCutToBatch", - "zh/built-in-nodes/LatentInterpolate", - "zh/built-in-nodes/LatentMultiply", - "zh/built-in-nodes/LatentSubtract" - ] - }, - { - "group": "Audio", - "pages": [ - "zh/built-in-nodes/EmptyAceStep1.5LatentAudio", - "zh/built-in-nodes/EmptyAceStepLatentAudio", - "zh/built-in-nodes/EmptyLatentAudio", - "zh/built-in-nodes/LTXVAudioVAEDecode", - "zh/built-in-nodes/LTXVAudioVAEEncode", - "zh/built-in-nodes/LTXVEmptyLatentAudio", - "zh/built-in-nodes/VAEDecodeAudio", - "zh/built-in-nodes/VAEDecodeAudioTiled", - "zh/built-in-nodes/VAEEncodeAudio" + "zh/built-in-nodes/RemoveBackground" + ] + }, + { + "group": "批处理", + "pages": [ + "zh/built-in-nodes/ImageDeduplication", + "zh/built-in-nodes/ImageFromBatch", + "zh/built-in-nodes/ImageGrid", + "zh/built-in-nodes/ImageMergeTileList", + "zh/built-in-nodes/MergeImageLists", + "zh/built-in-nodes/RebatchImages", + "zh/built-in-nodes/RepeatImageBatch", + "zh/built-in-nodes/ShuffleDataset", + "zh/built-in-nodes/ShuffleImageTextDataset", + "zh/built-in-nodes/SplitImageToTileList" + ] + }, + { + "group": "颜色", + "pages": [ + "zh/built-in-nodes/ImageRGBToYUV", + "zh/built-in-nodes/ImageYUVToRGB", + "zh/built-in-nodes/NormalizeImages" + ] + }, + { + "group": "合成", + "pages": [ + "zh/built-in-nodes/ImageCompositeMasked", + "zh/built-in-nodes/JoinImageWithAlpha", + "zh/built-in-nodes/PorterDuffImageComposite", + "zh/built-in-nodes/SplitImageWithAlpha" + ] + }, + { + "group": "检测", + "pages": [ + "zh/built-in-nodes/DrawBBoxes", + "zh/built-in-nodes/MediaPipeFaceLandmarker", + "zh/built-in-nodes/MediaPipeFaceMask", + "zh/built-in-nodes/MediaPipeFaceMeshVisualize", + "zh/built-in-nodes/RTDETR_detect", + "zh/built-in-nodes/SAM3_Detect", + "zh/built-in-nodes/SAM3_TrackPreview", + "zh/built-in-nodes/SAM3_TrackToMask", + "zh/built-in-nodes/SAM3_VideoTrack", + "zh/built-in-nodes/SDPoseDrawKeypoints", + "zh/built-in-nodes/SDPoseFaceBBoxes", + "zh/built-in-nodes/SDPoseKeypointExtractor" + ] + }, + { + "group": "滤镜", + "pages": [ + "zh/built-in-nodes/Canny", + "zh/built-in-nodes/ColorTransfer", + "zh/built-in-nodes/ImageAddNoise", + "zh/built-in-nodes/ImageBlend", + "zh/built-in-nodes/ImageBlur", + "zh/built-in-nodes/ImageQuantize", + "zh/built-in-nodes/ImageSharpen", + "zh/built-in-nodes/Morphology" + ] + }, + { + "group": "几何估计", + "pages": [ + "zh/built-in-nodes/MoGeInference", + "zh/built-in-nodes/MoGePanoramaInference", + "zh/built-in-nodes/MoGePointMapToMesh", + "zh/built-in-nodes/MoGeRender" + ] + }, + { + "group": "遮罩", + "pages": [ + "zh/built-in-nodes/BatchMasksNode", + "zh/built-in-nodes/CropMask", + "zh/built-in-nodes/FeatherMask", + "zh/built-in-nodes/GrowMask", + "zh/built-in-nodes/ImageColorToMask", + "zh/built-in-nodes/ImageToMask", + "zh/built-in-nodes/InvertMask", + "zh/built-in-nodes/MaskComposite", + "zh/built-in-nodes/MaskPreview", + "zh/built-in-nodes/MaskToImage", + "zh/built-in-nodes/SolidMask", + "zh/built-in-nodes/ThresholdMask", + "zh/built-in-nodes/VOIDQuadmaskPreprocess" + ] + }, + { + "group": "着色器", + "pages": [ + "zh/built-in-nodes/GLSLShader" + ] + }, + { + "group": "变换", + "pages": [ + "zh/built-in-nodes/CenterCropImages", + "zh/built-in-nodes/CropByBBoxes", + "zh/built-in-nodes/ImageCrop", + "zh/built-in-nodes/ImageCropV2", + "zh/built-in-nodes/ImageFlip", + "zh/built-in-nodes/ImagePadForOutpaint", + "zh/built-in-nodes/ImageRotate", + "zh/built-in-nodes/ImageStitch", + "zh/built-in-nodes/RandomCropImages", + "zh/built-in-nodes/ResizeAndPadImage", + "zh/built-in-nodes/ResizeImagesByLongerEdge", + "zh/built-in-nodes/ResizeImagesByShorterEdge" + ] + }, + { + "group": "放大", + "pages": [ + "zh/built-in-nodes/ImageScale", + "zh/built-in-nodes/ImageScaleBy", + "zh/built-in-nodes/ImageScaleToMaxDimension", + "zh/built-in-nodes/ImageScaleToTotalPixels", + "zh/built-in-nodes/ImageUpscaleWithModel" + ] + }, + { + "group": "视频", + "pages": [ + "zh/built-in-nodes/WanDancerPadKeyframes", + "zh/built-in-nodes/WanDancerPadKeyframesList" + ] + }, + "zh/built-in-nodes/BatchImagesNode", + "zh/built-in-nodes/ConditioningCombine", + "zh/built-in-nodes/EmptyImage", + "zh/built-in-nodes/GetImageSize", + "zh/built-in-nodes/ImageBatch", + "zh/built-in-nodes/ImageCompare", + "zh/built-in-nodes/ImageInvert", + "zh/built-in-nodes/LoadImage", + "zh/built-in-nodes/LoadImageDataSetFromFolder", + "zh/built-in-nodes/LoadImageMask", + "zh/built-in-nodes/LoadImageOutput", + "zh/built-in-nodes/LoadImageSetFromFolderNode", + "zh/built-in-nodes/LoadImageSetNode", + "zh/built-in-nodes/LoadImageTextDataSetFromFolder", + "zh/built-in-nodes/LoadImageTextSetFromFolderNode", + "zh/built-in-nodes/LoraLoader", + "zh/built-in-nodes/LoraLoaderModelOnly", + "zh/built-in-nodes/Painter", + "zh/built-in-nodes/PreviewImage", + "zh/built-in-nodes/ResizeImageMaskNode", + "zh/built-in-nodes/SaveAnimatedPNG", + "zh/built-in-nodes/SaveAnimatedWEBP", + "zh/built-in-nodes/SaveImage", + "zh/built-in-nodes/SaveImageAdvanced", + "zh/built-in-nodes/SaveImageDataSetToFolder", + "zh/built-in-nodes/SaveImageTextDataSetToFolder", + "zh/built-in-nodes/SaveSVGNode", + "zh/built-in-nodes/WebcamCapture" + ] + }, + { + "group": "潜空间", + "pages": [ + { + "group": "视频", + "pages": [ + "zh/built-in-nodes/latent/video/trim-video-latent" + ] + } + ] + }, + { + "group": "加载器", + "pages": [ + "zh/built-in-nodes/ControlNetLoader" + ] + }, + { + "group": "模型", + "pages": [ + { + "group": "条件", + "pages": [ + { + "group": "3D Models", + "pages": [ + "zh/built-in-nodes/Hunyuan3Dv2Conditioning", + "zh/built-in-nodes/Hunyuan3Dv2ConditioningMultiView", + "zh/built-in-nodes/StableZero123_Conditioning", + "zh/built-in-nodes/StableZero123_Conditioning_Batched", + "zh/built-in-nodes/SV3D_Conditioning" ] }, { - "group": "Batch", + "group": "音频", "pages": [ - "zh/built-in-nodes/LatentBatch", - "zh/built-in-nodes/LatentFromBatch", - "zh/built-in-nodes/RebatchLatents", - "zh/built-in-nodes/RepeatLatentBatch", - "zh/built-in-nodes/ReplaceVideoLatentFrames" + "zh/built-in-nodes/LTXVReferenceAudio" ] }, { - "group": "Chroma Radiance", + "group": "Controlnet", "pages": [ - "zh/built-in-nodes/EmptyChromaRadianceLatentImage" + "zh/built-in-nodes/ControlNetApply", + "zh/built-in-nodes/ControlNetApplyAdvanced", + "zh/built-in-nodes/ControlNetApplySD3", + "zh/built-in-nodes/ControlNetInpaintingAliMamaApply", + "zh/built-in-nodes/SetUnionControlNetType" ] }, { - "group": "Image", + "group": "Gligen", "pages": [ - "zh/built-in-nodes/EmptyHiDreamO1LatentImage" + "zh/built-in-nodes/GLIGENTextBoxApply" ] }, { - "group": "Inpaint", + "group": "图像", "pages": [ - "zh/built-in-nodes/SetLatentNoiseMask", - "zh/built-in-nodes/VAEEncodeForInpaint" + "zh/built-in-nodes/HiDreamO1ReferenceImages" ] }, { - "group": "Qwen", + "group": "修复", "pages": [ - "zh/built-in-nodes/EmptyQwenImageLayeredLatentImage" + "zh/built-in-nodes/CosmosImageToVideoLatent", + "zh/built-in-nodes/CosmosPredict2ImageToVideoLatent", + "zh/built-in-nodes/InpaintModelConditioning", + "zh/built-in-nodes/Wan22ImageToVideoLatent" ] }, { - "group": "Sd3", + "group": "Instructpix2Pix", "pages": [ - "zh/built-in-nodes/EmptySD3LatentImage" + "zh/built-in-nodes/InstructPixToPixConditioning" + ] + }, + { + "group": "Lotus", + "pages": [ + "zh/built-in-nodes/LotusConditioning" ] }, { "group": "Stable Cascade", "pages": [ - "zh/built-in-nodes/StableCascade_EmptyLatentImage", - "zh/built-in-nodes/StableCascade_StageC_VAEEncode" + "zh/built-in-nodes/StableCascade_StageB_Conditioning" ] }, { - "group": "Transform", + "group": "风格模型", "pages": [ - "zh/built-in-nodes/LatentCrop", - "zh/built-in-nodes/LatentFlip", - "zh/built-in-nodes/LatentRotate" + "zh/built-in-nodes/StyleModelApply" ] }, { - "group": "Video", + "group": "Upscale Diffusion", "pages": [ - { - "group": "Ltxv", - "pages": [ - "zh/built-in-nodes/EmptyLTXVLatentVideo", - "zh/built-in-nodes/LTXVConcatAVLatent", - "zh/built-in-nodes/LTXVSeparateAVLatent" - ] - }, - "zh/built-in-nodes/EmptyARVideoLatent", - "zh/built-in-nodes/EmptyCosmosLatentVideo", - "zh/built-in-nodes/EmptyHunyuanLatentVideo", - "zh/built-in-nodes/EmptyHunyuanVideo15Latent", - "zh/built-in-nodes/EmptyMochiLatentVideo", - "zh/built-in-nodes/LTXVLatentUpsampler", - "zh/built-in-nodes/TrimVideoLatent", - "zh/built-in-nodes/VOIDWarpedNoise" + "zh/built-in-nodes/SD_4XUpscale_Conditioning" ] }, - "zh/built-in-nodes/BatchLatentsNode", - "zh/built-in-nodes/EmptyFlux2LatentImage", - "zh/built-in-nodes/EmptyHunyuanImageLatent", - "zh/built-in-nodes/EmptyLatentImage", - "zh/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel", - "zh/built-in-nodes/LatentComposite", - "zh/built-in-nodes/LatentCompositeMasked", + { + "group": "视频模型", + "pages": [ + "zh/built-in-nodes/ARVideoI2V", + "zh/built-in-nodes/GenerateTracks", + "zh/built-in-nodes/GetICLoRAParameters", + "zh/built-in-nodes/HunyuanImageToVideo", + "zh/built-in-nodes/HunyuanRefinerLatent", + "zh/built-in-nodes/HunyuanVideo15ImageToVideo", + "zh/built-in-nodes/HunyuanVideo15SuperResolution", + "zh/built-in-nodes/Kandinsky5ImageToVideo", + "zh/built-in-nodes/LTXVAddGuide", + "zh/built-in-nodes/LTXVConditioning", + "zh/built-in-nodes/LTXVCropGuides", + "zh/built-in-nodes/LTXVImgToVideo", + "zh/built-in-nodes/LTXVImgToVideoInplace", + "zh/built-in-nodes/NormalizeVideoLatentStart", + "zh/built-in-nodes/VOIDInpaintConditioning", + "zh/built-in-nodes/Wan22FunControlToVideo", + "zh/built-in-nodes/WanAnimateToVideo", + "zh/built-in-nodes/WanCameraEmbedding", + "zh/built-in-nodes/WanCameraImageToVideo", + "zh/built-in-nodes/WanDancerEncodeAudio", + "zh/built-in-nodes/WanDancerVideo", + "zh/built-in-nodes/WanFirstLastFrameToVideo", + "zh/built-in-nodes/WanFunControlToVideo", + "zh/built-in-nodes/WanFunInpaintToVideo", + "zh/built-in-nodes/WanHuMoImageToVideo", + "zh/built-in-nodes/WanImageToVideo", + "zh/built-in-nodes/WanInfiniteTalkToVideo", + "zh/built-in-nodes/WanMoveConcatTrack", + "zh/built-in-nodes/WanMoveTracksFromCoords", + "zh/built-in-nodes/WanMoveTrackToVideo", + "zh/built-in-nodes/WanMoveVisualizeTracks", + "zh/built-in-nodes/WanPhantomSubjectToVideo", + "zh/built-in-nodes/WanSCAILToVideo", + "zh/built-in-nodes/WanSoundImageToVideo", + "zh/built-in-nodes/WanSoundImageToVideoExtend", + "zh/built-in-nodes/WanTrackToVideo", + "zh/built-in-nodes/WanVaceToVideo" + ] + }, + "zh/built-in-nodes/AudioEncoderEncode", + "zh/built-in-nodes/ClipSetLastLayer", + "zh/built-in-nodes/ClipTextEncode", + "zh/built-in-nodes/CLIPTextEncodeLumina2", + "zh/built-in-nodes/ClipVisionEncode", + "zh/built-in-nodes/ConditioningConcat", + "zh/built-in-nodes/ConditioningSetArea", + "zh/built-in-nodes/ConditioningSetAreaPercentage", + "zh/built-in-nodes/ConditioningSetAreaPercentageVideo", + "zh/built-in-nodes/ConditioningSetAreaStrength", + "zh/built-in-nodes/ConditioningSetMask", + "zh/built-in-nodes/ConditioningStableAudio", + "zh/built-in-nodes/TextEncodeAceStepAudio", + "zh/built-in-nodes/TextEncodeAceStepAudio1.5", + "zh/built-in-nodes/unCLIPConditioning" + ] + }, + { + "group": "潜空间", + "pages": [ + { + "group": "3D", + "pages": [ + "zh/built-in-nodes/EmptyLatentHunyuan3Dv2", + "zh/built-in-nodes/VAEDecodeHunyuan3D" + ] + }, + { + "group": "高级", + "pages": [ + { + "group": "操作", + "pages": [ + "zh/built-in-nodes/LatentApplyOperation", + "zh/built-in-nodes/LatentApplyOperationCFG", + "zh/built-in-nodes/LatentOperationSharpen", + "zh/built-in-nodes/LatentOperationTonemapReinhard" + ] + }, + "zh/built-in-nodes/LatentAdd", + "zh/built-in-nodes/LatentBatchSeedBehavior", + "zh/built-in-nodes/LatentConcat", + "zh/built-in-nodes/LatentCut", + "zh/built-in-nodes/LatentCutToBatch", + "zh/built-in-nodes/LatentInterpolate", + "zh/built-in-nodes/LatentMultiply", + "zh/built-in-nodes/LatentSubtract" + ] + }, + { + "group": "音频", + "pages": [ + "zh/built-in-nodes/EmptyAceStep1.5LatentAudio", + "zh/built-in-nodes/EmptyAceStepLatentAudio", + "zh/built-in-nodes/EmptyLatentAudio", + "zh/built-in-nodes/LTXVAudioVAEDecode", + "zh/built-in-nodes/LTXVAudioVAEEncode", + "zh/built-in-nodes/LTXVEmptyLatentAudio", + "zh/built-in-nodes/VAEDecodeAudio", + "zh/built-in-nodes/VAEDecodeAudioTiled", + "zh/built-in-nodes/VAEEncodeAudio" + ] + }, + { + "group": "批处理", + "pages": [ + "zh/built-in-nodes/LatentBatch", + "zh/built-in-nodes/LatentFromBatch", + "zh/built-in-nodes/RebatchLatents", + "zh/built-in-nodes/RepeatLatentBatch", + "zh/built-in-nodes/ReplaceVideoLatentFrames" + ] + }, + { + "group": "Chroma Radiance", + "pages": [ + "zh/built-in-nodes/EmptyChromaRadianceLatentImage" + ] + }, + { + "group": "图像", + "pages": [ + "zh/built-in-nodes/EmptyHiDreamO1LatentImage" + ] + }, + { + "group": "修复", + "pages": [ + "zh/built-in-nodes/SetLatentNoiseMask", + "zh/built-in-nodes/VAEEncodeForInpaint" + ] + }, + { + "group": "Qwen", + "pages": [ + "zh/built-in-nodes/EmptyQwenImageLayeredLatentImage" + ] + }, + { + "group": "Sd3", + "pages": [ + "zh/built-in-nodes/EmptySD3LatentImage" + ] + }, + { + "group": "Stable Cascade", + "pages": [ + "zh/built-in-nodes/StableCascade_EmptyLatentImage", + "zh/built-in-nodes/StableCascade_StageC_VAEEncode" + ] + }, + { + "group": "变换", + "pages": [ + "zh/built-in-nodes/LatentCrop", + "zh/built-in-nodes/LatentFlip", + "zh/built-in-nodes/LatentRotate" + ] + }, + { + "group": "视频", + "pages": [ + { + "group": "Ltxv", + "pages": [ + "zh/built-in-nodes/EmptyLTXVLatentVideo", + "zh/built-in-nodes/LTXVConcatAVLatent", + "zh/built-in-nodes/LTXVSeparateAVLatent" + ] + }, + "zh/built-in-nodes/EmptyARVideoLatent", + "zh/built-in-nodes/EmptyCosmosLatentVideo", + "zh/built-in-nodes/EmptyHunyuanLatentVideo", + "zh/built-in-nodes/EmptyHunyuanVideo15Latent", + "zh/built-in-nodes/EmptyMochiLatentVideo", + "zh/built-in-nodes/LTXVLatentUpsampler", + "zh/built-in-nodes/TrimVideoLatent", + "zh/built-in-nodes/VOIDWarpedNoise" + ] + }, + "zh/built-in-nodes/BatchLatentsNode", + "zh/built-in-nodes/EmptyFlux2LatentImage", + "zh/built-in-nodes/EmptyHunyuanImageLatent", + "zh/built-in-nodes/EmptyLatentImage", + "zh/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel", + "zh/built-in-nodes/LatentComposite", + "zh/built-in-nodes/LatentCompositeMasked", "zh/built-in-nodes/LatentUpscale", "zh/built-in-nodes/LatentUpscaleBy", "zh/built-in-nodes/VAEDecode", @@ -3632,7 +4082,7 @@ ] }, { - "group": "Loaders", + "group": "加载器", "pages": [ "zh/built-in-nodes/AudioEncoderLoader", "zh/built-in-nodes/CheckpointLoaderSimple", @@ -3658,7 +4108,7 @@ ] }, { - "group": "Patch", + "group": "补丁", "pages": [ { "group": "Chroma Radiance", @@ -3697,10 +4147,10 @@ ] }, { - "group": "Sampling", + "group": "采样", "pages": [ { - "group": "Custom Sampling", + "group": "自定义采样", "pages": [ "zh/built-in-nodes/APG", "zh/built-in-nodes/SamplerCustom", @@ -3708,17 +4158,18 @@ ] }, { - "group": "Guiders", + "group": "引导器", "pages": [ "zh/built-in-nodes/BasicGuider", "zh/built-in-nodes/CFGGuider", "zh/built-in-nodes/DualCFGGuider", + "zh/built-in-nodes/DualModelGuider", "zh/built-in-nodes/VideoLinearCFGGuidance", "zh/built-in-nodes/VideoTriangleCFGGuidance" ] }, { - "group": "Noise", + "group": "噪声", "pages": [ "zh/built-in-nodes/DisableNoise", "zh/built-in-nodes/RandomNoise", @@ -3726,7 +4177,7 @@ ] }, { - "group": "Samplers", + "group": "采样器", "pages": [ "zh/built-in-nodes/KSamplerSelect", "zh/built-in-nodes/SamplerARVideo", @@ -3747,7 +4198,7 @@ ] }, { - "group": "Schedulers", + "group": "调度器", "pages": [ "zh/built-in-nodes/AlignYourStepsScheduler", "zh/built-in-nodes/BasicScheduler", @@ -3780,7 +4231,7 @@ ] }, { - "group": "Training", + "group": "训练", "pages": [ "zh/built-in-nodes/LoadTrainingDataset", "zh/built-in-nodes/LossGraphNode", @@ -3793,669 +4244,594 @@ ] }, { - "group": "Text", + "group": "合作伙伴", "pages": [ { - "group": "Partner", + "group": "3D", "pages": [ { - "group": "Anthropic", - "pages": [ - "zh/built-in-nodes/ClaudeNode" - ] - }, - { - "group": "Bytedance", + "group": "Meshy", "pages": [ - "zh/built-in-nodes/ByteDanceSeedNode" + "zh/built-in-nodes/MeshyAnimateModelNode", + "zh/built-in-nodes/MeshyImageToModelNode", + "zh/built-in-nodes/MeshyMultiImageToModelNode", + "zh/built-in-nodes/MeshyRefineNode", + "zh/built-in-nodes/MeshyRigModelNode", + "zh/built-in-nodes/MeshyTextToModelNode", + "zh/built-in-nodes/MeshyTextureNode" ] }, { - "group": "Gemini", + "group": "Rodin", "pages": [ - "zh/built-in-nodes/GeminiInputFiles", - "zh/built-in-nodes/GeminiNode" + "zh/built-in-nodes/Rodin3D_Detail", + "zh/built-in-nodes/Rodin3D_Gen2", + "zh/built-in-nodes/Rodin3D_Gen25_Image", + "zh/built-in-nodes/Rodin3D_Gen25_Text", + "zh/built-in-nodes/Rodin3D_Regular", + "zh/built-in-nodes/Rodin3D_Sketch", + "zh/built-in-nodes/Rodin3D_Smooth" ] }, { - "group": "Openai", + "group": "Tencent", "pages": [ - "zh/built-in-nodes/OpenAIChatConfig", - "zh/built-in-nodes/OpenAIChatNode", - "zh/built-in-nodes/OpenAIInputFiles" + "zh/built-in-nodes/Tencent3DPartNode", + "zh/built-in-nodes/Tencent3DTextureEditNode", + "zh/built-in-nodes/TencentImageToModelNode", + "zh/built-in-nodes/TencentModelTo3DUVNode", + "zh/built-in-nodes/TencentSmartTopologyNode", + "zh/built-in-nodes/TencentTextToModelNode" ] }, { - "group": "Openrouter", + "group": "Tripo", "pages": [ - "zh/built-in-nodes/OpenRouterLLMNode" + "zh/built-in-nodes/TripoConversionNode", + "zh/built-in-nodes/TripoImageToModelNode", + "zh/built-in-nodes/TripoMultiviewToModelNode", + "zh/built-in-nodes/TripoP1ImageToModelNode", + "zh/built-in-nodes/TripoP1MultiviewToModelNode", + "zh/built-in-nodes/TripoP1TextToModelNode", + "zh/built-in-nodes/TripoRefineNode", + "zh/built-in-nodes/TripoRetargetNode", + "zh/built-in-nodes/TripoRigNode", + "zh/built-in-nodes/TripoTextToModelNode", + "zh/built-in-nodes/TripoTextureNode" ] } ] }, - "zh/built-in-nodes/AddTextPrefix", - "zh/built-in-nodes/AddTextSuffix", - "zh/built-in-nodes/CaseConverter", - "zh/built-in-nodes/JsonExtractString", - "zh/built-in-nodes/MergeTextLists", - "zh/built-in-nodes/RegexExtract", - "zh/built-in-nodes/RegexMatch", - "zh/built-in-nodes/RegexReplace", - "zh/built-in-nodes/ReplaceText", - "zh/built-in-nodes/StringCompare", - "zh/built-in-nodes/StringConcatenate", - "zh/built-in-nodes/StringContains", - "zh/built-in-nodes/StringFormat", - "zh/built-in-nodes/StringLength", - "zh/built-in-nodes/StringReplace", - "zh/built-in-nodes/StringSubstring", - "zh/built-in-nodes/StringTrim", - "zh/built-in-nodes/StripWhitespace", - "zh/built-in-nodes/TextGenerate", - "zh/built-in-nodes/TextGenerateLTX2Prompt", - "zh/built-in-nodes/TextToLowercase", - "zh/built-in-nodes/TextToUppercase", - "zh/built-in-nodes/TruncateText" - ] - }, - { - "group": "Utilities", - "pages": [ - { - "group": "Logic", - "pages": [ - "zh/built-in-nodes/AutogrowNamesTestNode", - "zh/built-in-nodes/AutogrowPrefixTestNode", - "zh/built-in-nodes/ComboOptionTestNode", - "zh/built-in-nodes/ComfyAndNode", - "zh/built-in-nodes/ComfyNotNode", - "zh/built-in-nodes/ComfyOrNode", - "zh/built-in-nodes/ComfySoftSwitchNode", - "zh/built-in-nodes/ComfySwitchNode", - "zh/built-in-nodes/ConvertStringToComboNode", - "zh/built-in-nodes/DCTestNode", - "zh/built-in-nodes/InvertBooleanNode" - ] - }, { - "group": "Primitive", + "group": "音频", "pages": [ - "zh/built-in-nodes/PrimitiveBoolean", - "zh/built-in-nodes/PrimitiveBoundingBox", - "zh/built-in-nodes/PrimitiveFloat", - "zh/built-in-nodes/PrimitiveInt", - "zh/built-in-nodes/PrimitiveString", - "zh/built-in-nodes/PrimitiveStringMultiline" + { + "group": "Elevenlabs", + "pages": [ + "zh/built-in-nodes/ElevenLabsAudioIsolation", + "zh/built-in-nodes/ElevenLabsInstantVoiceClone", + "zh/built-in-nodes/ElevenLabsSpeechToSpeech", + "zh/built-in-nodes/ElevenLabsSpeechToText", + "zh/built-in-nodes/ElevenLabsTextToDialogue", + "zh/built-in-nodes/ElevenLabsTextToSoundEffects", + "zh/built-in-nodes/ElevenLabsTextToSpeech", + "zh/built-in-nodes/ElevenLabsVoiceSelector" + ] + }, + { + "group": "Sonilo", + "pages": [ + "zh/built-in-nodes/SoniloTextToMusic", + "zh/built-in-nodes/SoniloVideoToMusic" + ] + }, + { + "group": "Stability Ai", + "pages": [ + "zh/built-in-nodes/StabilityAudioInpaint", + "zh/built-in-nodes/StabilityAudioToAudio", + "zh/built-in-nodes/StabilityTextToAudio" + ] + } ] }, - "zh/built-in-nodes/ColorToRGBInt", - "zh/built-in-nodes/ComfyMathExpression", - "zh/built-in-nodes/ComfyNumberConvert", - "zh/built-in-nodes/CreateList", - "zh/built-in-nodes/CurveEditor", - "zh/built-in-nodes/CustomCombo", - "zh/built-in-nodes/ImageHistogram", - "zh/built-in-nodes/PreviewAny", - "zh/built-in-nodes/ResolutionSelector" - ] - }, - { - "group": "Video", - "pages": [ { - "group": "Partner", + "group": "图像", "pages": [ { "group": "Beeble", "pages": [ - "zh/built-in-nodes/BeebleSwitchXVideoEdit" + "zh/built-in-nodes/BeebleSwitchXImageEdit" + ] + }, + { + "group": "Bfl", + "pages": [ + "zh/built-in-nodes/Flux2ImageNode", + "zh/built-in-nodes/FluxEraseNode", + "zh/built-in-nodes/FluxProExpandNode", + "zh/built-in-nodes/FluxProFillNode", + "zh/built-in-nodes/FluxProUltraImageNode", + "zh/built-in-nodes/FluxVTONode" ] }, { "group": "Bria", "pages": [ - "zh/built-in-nodes/BriaRemoveVideoBackground" + "zh/built-in-nodes/BriaImageEditNode", + "zh/built-in-nodes/BriaRemoveImageBackground" ] }, { "group": "Bytedance", "pages": [ - "zh/built-in-nodes/ByteDance2FirstLastFrameNode", - "zh/built-in-nodes/ByteDance2ReferenceNode", - "zh/built-in-nodes/ByteDance2TextToVideoNode", - "zh/built-in-nodes/ByteDanceCreateVideoAsset", - "zh/built-in-nodes/ByteDanceFirstLastFrameNode", - "zh/built-in-nodes/ByteDanceImageReferenceNode", - "zh/built-in-nodes/ByteDanceImageToVideoNode", - "zh/built-in-nodes/ByteDanceTextToVideoNode" + "zh/built-in-nodes/ByteDanceCreateImageAsset", + "zh/built-in-nodes/ByteDanceImageNode", + "zh/built-in-nodes/ByteDanceSeedreamNode", + "zh/built-in-nodes/ByteDanceSeedreamNodeV2" + ] + }, + { + "group": "Gemini", + "pages": [ + "zh/built-in-nodes/GeminiImage2Node", + "zh/built-in-nodes/GeminiImageNode", + "zh/built-in-nodes/GeminiNanoBanana2", + "zh/built-in-nodes/GeminiNanoBanana2V2" ] }, { "group": "Grok", "pages": [ - "zh/built-in-nodes/GrokVideoEditNode", - "zh/built-in-nodes/GrokVideoExtendNode", - "zh/built-in-nodes/GrokVideoNode", - "zh/built-in-nodes/GrokVideoReferenceNode" + "zh/built-in-nodes/GrokImageEditNode", + "zh/built-in-nodes/GrokImageEditNodeV2", + "zh/built-in-nodes/GrokImageNode" ] }, { "group": "Hitpaw", "pages": [ - "zh/built-in-nodes/HitPawVideoEnhance" + "zh/built-in-nodes/HitPawGeneralImageEnhance" + ] + }, + { + "group": "Ideogram", + "pages": [ + "zh/built-in-nodes/IdeogramV1", + "zh/built-in-nodes/IdeogramV2", + "zh/built-in-nodes/IdeogramV3", + "zh/built-in-nodes/IdeogramV4" ] }, { "group": "Kling", "pages": [ - "zh/built-in-nodes/KlingAvatarNode", - "zh/built-in-nodes/KlingCameraControlI2VNode", - "zh/built-in-nodes/KlingCameraControls", - "zh/built-in-nodes/KlingCameraControlT2VNode", - "zh/built-in-nodes/KlingDualCharacterVideoEffectNode", - "zh/built-in-nodes/KlingFirstLastFrameNode", - "zh/built-in-nodes/KlingImage2VideoNode", - "zh/built-in-nodes/KlingImageToVideoWithAudio", - "zh/built-in-nodes/KlingLipSyncAudioToVideoNode", - "zh/built-in-nodes/KlingLipSyncTextToVideoNode", - "zh/built-in-nodes/KlingMotionControl", - "zh/built-in-nodes/KlingOmniProEditVideoNode", - "zh/built-in-nodes/KlingOmniProFirstLastFrameNode", - "zh/built-in-nodes/KlingOmniProImageToVideoNode", - "zh/built-in-nodes/KlingOmniProTextToVideoNode", - "zh/built-in-nodes/KlingOmniProVideoToVideoNode", - "zh/built-in-nodes/KlingSingleImageVideoEffectNode", - "zh/built-in-nodes/KlingStartEndFrameNode", - "zh/built-in-nodes/KlingTextToVideoNode", - "zh/built-in-nodes/KlingTextToVideoWithAudio", - "zh/built-in-nodes/KlingVideoExtendNode", - "zh/built-in-nodes/KlingVideoNode" + "zh/built-in-nodes/KlingImageGenerationNode", + "zh/built-in-nodes/KlingOmniProImageNode", + "zh/built-in-nodes/KlingVirtualTryOnNode" ] }, { - "group": "Ltxv", + "group": "Krea", "pages": [ - "zh/built-in-nodes/LtxvApiImageToVideo", - "zh/built-in-nodes/LtxvApiTextToVideo" + "zh/built-in-nodes/Krea2ImageNode", + "zh/built-in-nodes/Krea2StyleReferenceNode" ] }, { "group": "Luma", "pages": [ - "zh/built-in-nodes/LumaConceptsNode", - "zh/built-in-nodes/LumaImageToVideoNode", - "zh/built-in-nodes/LumaVideoNode" + "zh/built-in-nodes/LumaImageEditNode2", + "zh/built-in-nodes/LumaImageModifyNode", + "zh/built-in-nodes/LumaImageNode", + "zh/built-in-nodes/LumaImageNode2", + "zh/built-in-nodes/LumaReferenceNode" ] }, { - "group": "Minimax", + "group": "Magnific", "pages": [ - "zh/built-in-nodes/MinimaxHailuoVideoNode", - "zh/built-in-nodes/MinimaxImageToVideoNode", - "zh/built-in-nodes/MinimaxSubjectToVideoNode", - "zh/built-in-nodes/MinimaxTextToVideoNode" + "zh/built-in-nodes/MagnificImageRelightNode", + "zh/built-in-nodes/MagnificImageSkinEnhancerNode", + "zh/built-in-nodes/MagnificImageStyleTransferNode", + "zh/built-in-nodes/MagnificImageUpscalerCreativeNode", + "zh/built-in-nodes/MagnificImageUpscalerPreciseV2Node" ] }, { - "group": "Pixverse", + "group": "Openai", "pages": [ - "zh/built-in-nodes/PixverseImageToVideoNode", - "zh/built-in-nodes/PixverseTemplateNode", - "zh/built-in-nodes/PixverseTextToVideoNode", - "zh/built-in-nodes/PixverseTransitionVideoNode" + "zh/built-in-nodes/OpenAIDalle2", + "zh/built-in-nodes/OpenAIDalle3", + "zh/built-in-nodes/OpenAIGPTImage1", + "zh/built-in-nodes/OpenAIGPTImageNodeV2" ] }, { - "group": "Runway", + "group": "Quiver", "pages": [ - "zh/built-in-nodes/RunwayFirstLastFrameNode", - "zh/built-in-nodes/RunwayImageToVideoNodeGen3a", - "zh/built-in-nodes/RunwayImageToVideoNodeGen4" + "zh/built-in-nodes/QuiverImageToSVGNode", + "zh/built-in-nodes/QuiverTextToSVGNode" ] }, { - "group": "Sora", + "group": "Recraft", "pages": [ - "zh/built-in-nodes/OpenAIVideoSora2" + "zh/built-in-nodes/RecraftColorRGB", + "zh/built-in-nodes/RecraftControls", + "zh/built-in-nodes/RecraftCreateStyleNode", + "zh/built-in-nodes/RecraftCreativeUpscaleNode", + "zh/built-in-nodes/RecraftCrispUpscaleNode", + "zh/built-in-nodes/RecraftImageInpaintingNode", + "zh/built-in-nodes/RecraftImageToImageNode", + "zh/built-in-nodes/RecraftRemoveBackgroundNode", + "zh/built-in-nodes/RecraftReplaceBackgroundNode", + "zh/built-in-nodes/RecraftStyleV3DigitalIllustration", + "zh/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", + "zh/built-in-nodes/RecraftStyleV3LogoRaster", + "zh/built-in-nodes/RecraftStyleV3RealisticImage", + "zh/built-in-nodes/RecraftStyleV3VectorIllustrationNode", + "zh/built-in-nodes/RecraftTextToImageNode", + "zh/built-in-nodes/RecraftTextToVectorNode", + "zh/built-in-nodes/RecraftV4TextToImageNode", + "zh/built-in-nodes/RecraftV4TextToVectorNode", + "zh/built-in-nodes/RecraftVectorizeImageNode" ] }, { - "group": "Topaz", + "group": "Reve", "pages": [ - "zh/built-in-nodes/TopazVideoEnhance", - "zh/built-in-nodes/TopazVideoEnhanceV2" + "zh/built-in-nodes/ReveImageCreateNode", + "zh/built-in-nodes/ReveImageEditNode", + "zh/built-in-nodes/ReveImageRemixNode" ] }, { - "group": "Veo", + "group": "Runway", "pages": [ - "zh/built-in-nodes/Veo3FirstLastFrameNode", - "zh/built-in-nodes/Veo3VideoGenerationNode", - "zh/built-in-nodes/VeoVideoGenerationNode" + "zh/built-in-nodes/RunwayTextToImageNode" ] }, { - "group": "Vidu", + "group": "Stability Ai", "pages": [ - "zh/built-in-nodes/Vidu2ImageToVideoNode", - "zh/built-in-nodes/Vidu2ReferenceVideoNode", - "zh/built-in-nodes/Vidu2StartEndToVideoNode", - "zh/built-in-nodes/Vidu2TextToVideoNode", - "zh/built-in-nodes/Vidu3ImageToVideoNode", - "zh/built-in-nodes/Vidu3StartEndToVideoNode", - "zh/built-in-nodes/Vidu3TextToVideoNode", - "zh/built-in-nodes/ViduExtendVideoNode", - "zh/built-in-nodes/ViduImageToVideoNode", - "zh/built-in-nodes/ViduMultiFrameVideoNode", - "zh/built-in-nodes/ViduReferenceVideoNode", - "zh/built-in-nodes/ViduStartEndToVideoNode", - "zh/built-in-nodes/ViduTextToVideoNode" + "zh/built-in-nodes/StabilityStableImageSD_3_5Node", + "zh/built-in-nodes/StabilityStableImageUltraNode", + "zh/built-in-nodes/StabilityUpscaleConservativeNode", + "zh/built-in-nodes/StabilityUpscaleCreativeNode", + "zh/built-in-nodes/StabilityUpscaleFastNode" + ] + }, + { + "group": "Topaz", + "pages": [ + "zh/built-in-nodes/TopazImageEnhance" ] }, { "group": "Wan", "pages": [ - "zh/built-in-nodes/HappyHorseImageToVideoApi", - "zh/built-in-nodes/HappyHorseReferenceVideoApi", - "zh/built-in-nodes/HappyHorseTextToVideoApi", - "zh/built-in-nodes/HappyHorseVideoEditApi", - "zh/built-in-nodes/Wan2ImageToVideoApi", - "zh/built-in-nodes/Wan2ReferenceVideoApi", - "zh/built-in-nodes/Wan2TextToVideoApi", - "zh/built-in-nodes/Wan2VideoContinuationApi", - "zh/built-in-nodes/Wan2VideoEditApi", - "zh/built-in-nodes/WanImageToVideoApi", - "zh/built-in-nodes/WanReferenceVideoApi", - "zh/built-in-nodes/WanTextToVideoApi" + "zh/built-in-nodes/WanImageToImageApi", + "zh/built-in-nodes/WanTextToImageApi" ] }, { "group": "Wavespeed", "pages": [ - "zh/built-in-nodes/WavespeedFlashVSRNode" + "zh/built-in-nodes/WavespeedImageUpscaleNode" ] } ] }, { - "group": "Preprocessors", - "pages": [ - "zh/built-in-nodes/LTXVPreprocess" - ] - }, - "zh/built-in-nodes/CreateVideo", - "zh/built-in-nodes/FrameInterpolate", - "zh/built-in-nodes/GetVideoComponents", - "zh/built-in-nodes/LoadVideo", - "zh/built-in-nodes/SaveVideo", - "zh/built-in-nodes/SaveWEBM", - "zh/built-in-nodes/Video Slice" - ] - }, - { - "group": "加载器", - "pages": [ - "zh/built-in-nodes/ControlNetLoader" - ] - }, - { - "group": "图像", - "pages": [ - { - "group": "Adjustments", - "pages": [ - "zh/built-in-nodes/AdjustBrightness", - "zh/built-in-nodes/AdjustContrast" - ] - }, - { - "group": "Background Removal", - "pages": [ - "zh/built-in-nodes/RemoveBackground" - ] - }, - { - "group": "Batch", - "pages": [ - "zh/built-in-nodes/ImageDeduplication", - "zh/built-in-nodes/ImageFromBatch", - "zh/built-in-nodes/ImageGrid", - "zh/built-in-nodes/ImageMergeTileList", - "zh/built-in-nodes/MergeImageLists", - "zh/built-in-nodes/RebatchImages", - "zh/built-in-nodes/RepeatImageBatch", - "zh/built-in-nodes/ShuffleDataset", - "zh/built-in-nodes/ShuffleImageTextDataset", - "zh/built-in-nodes/SplitImageToTileList" - ] - }, - { - "group": "Color", - "pages": [ - "zh/built-in-nodes/ImageRGBToYUV", - "zh/built-in-nodes/ImageYUVToRGB", - "zh/built-in-nodes/NormalizeImages" - ] - }, - { - "group": "Compositing", - "pages": [ - "zh/built-in-nodes/ImageCompositeMasked", - "zh/built-in-nodes/JoinImageWithAlpha", - "zh/built-in-nodes/PorterDuffImageComposite", - "zh/built-in-nodes/SplitImageWithAlpha" - ] - }, - { - "group": "Detection", - "pages": [ - "zh/built-in-nodes/DrawBBoxes", - "zh/built-in-nodes/MediaPipeFaceLandmarker", - "zh/built-in-nodes/MediaPipeFaceMask", - "zh/built-in-nodes/MediaPipeFaceMeshVisualize", - "zh/built-in-nodes/RTDETR_detect", - "zh/built-in-nodes/SAM3_Detect", - "zh/built-in-nodes/SAM3_TrackPreview", - "zh/built-in-nodes/SAM3_TrackToMask", - "zh/built-in-nodes/SAM3_VideoTrack", - "zh/built-in-nodes/SDPoseDrawKeypoints", - "zh/built-in-nodes/SDPoseFaceBBoxes", - "zh/built-in-nodes/SDPoseKeypointExtractor" - ] - }, - { - "group": "Filters", - "pages": [ - "zh/built-in-nodes/Canny", - "zh/built-in-nodes/ColorTransfer", - "zh/built-in-nodes/ImageAddNoise", - "zh/built-in-nodes/ImageBlend", - "zh/built-in-nodes/ImageBlur", - "zh/built-in-nodes/ImageQuantize", - "zh/built-in-nodes/ImageSharpen", - "zh/built-in-nodes/Morphology" - ] - }, - { - "group": "Geometry Estimation", - "pages": [ - "zh/built-in-nodes/MoGeInference", - "zh/built-in-nodes/MoGePanoramaInference", - "zh/built-in-nodes/MoGePointMapToMesh", - "zh/built-in-nodes/MoGeRender" - ] - }, - { - "group": "Mask", - "pages": [ - "zh/built-in-nodes/BatchMasksNode", - "zh/built-in-nodes/CropMask", - "zh/built-in-nodes/FeatherMask", - "zh/built-in-nodes/GrowMask", - "zh/built-in-nodes/ImageColorToMask", - "zh/built-in-nodes/ImageToMask", - "zh/built-in-nodes/InvertMask", - "zh/built-in-nodes/MaskComposite", - "zh/built-in-nodes/MaskPreview", - "zh/built-in-nodes/MaskToImage", - "zh/built-in-nodes/SolidMask", - "zh/built-in-nodes/ThresholdMask", - "zh/built-in-nodes/VOIDQuadmaskPreprocess" - ] - }, - { - "group": "Partner", + "group": "文本", "pages": [ { - "group": "Beeble", + "group": "Anthropic", "pages": [ - "zh/built-in-nodes/BeebleSwitchXImageEdit" + "zh/built-in-nodes/ClaudeNode" ] }, { - "group": "Bfl", + "group": "Bytedance", "pages": [ - "zh/built-in-nodes/Flux2ImageNode", - "zh/built-in-nodes/FluxProExpandNode", - "zh/built-in-nodes/FluxProFillNode", - "zh/built-in-nodes/FluxProUltraImageNode" + "zh/built-in-nodes/ByteDanceSeedNode" ] }, { - "group": "Bria", + "group": "Gemini", "pages": [ - "zh/built-in-nodes/BriaImageEditNode", - "zh/built-in-nodes/BriaRemoveImageBackground" + "zh/built-in-nodes/GeminiInputFiles", + "zh/built-in-nodes/GeminiNode" ] }, { - "group": "Bytedance", + "group": "Openai", "pages": [ - "zh/built-in-nodes/ByteDanceCreateImageAsset", - "zh/built-in-nodes/ByteDanceImageNode", - "zh/built-in-nodes/ByteDanceSeedreamNode", - "zh/built-in-nodes/ByteDanceSeedreamNodeV2" + "zh/built-in-nodes/OpenAIChatConfig", + "zh/built-in-nodes/OpenAIChatNode", + "zh/built-in-nodes/OpenAIInputFiles" ] }, { - "group": "Gemini", + "group": "Openrouter", "pages": [ - "zh/built-in-nodes/GeminiImage2Node", - "zh/built-in-nodes/GeminiImageNode", - "zh/built-in-nodes/GeminiNanoBanana2", - "zh/built-in-nodes/GeminiNanoBanana2V2" + "zh/built-in-nodes/OpenRouterLLMNode" ] - }, + } + ] + }, + { + "group": "视频", + "pages": [ { - "group": "Grok", + "group": "Beeble", "pages": [ - "zh/built-in-nodes/GrokImageEditNode", - "zh/built-in-nodes/GrokImageEditNodeV2", - "zh/built-in-nodes/GrokImageNode" + "zh/built-in-nodes/BeebleSwitchXVideoEdit" ] }, { - "group": "Hitpaw", + "group": "Bria", "pages": [ - "zh/built-in-nodes/HitPawGeneralImageEnhance" + "zh/built-in-nodes/BriaRemoveVideoBackground", + "zh/built-in-nodes/BriaTransparentVideoBackground", + "zh/built-in-nodes/BriaVideoGreenScreen", + "zh/built-in-nodes/BriaVideoReplaceBackground" ] }, { - "group": "Ideogram", + "group": "Bytedance", "pages": [ - "zh/built-in-nodes/IdeogramV1", - "zh/built-in-nodes/IdeogramV2", - "zh/built-in-nodes/IdeogramV3" + "zh/built-in-nodes/ByteDance2FirstLastFrameNode", + "zh/built-in-nodes/ByteDance2ReferenceNode", + "zh/built-in-nodes/ByteDance2TextToVideoNode", + "zh/built-in-nodes/ByteDanceCreateVideoAsset", + "zh/built-in-nodes/ByteDanceFirstLastFrameNode", + "zh/built-in-nodes/ByteDanceImageReferenceNode", + "zh/built-in-nodes/ByteDanceImageToVideoNode", + "zh/built-in-nodes/ByteDanceTextToVideoNode" ] }, { - "group": "Kling", + "group": "Grok", "pages": [ - "zh/built-in-nodes/KlingImageGenerationNode", - "zh/built-in-nodes/KlingOmniProImageNode", - "zh/built-in-nodes/KlingVirtualTryOnNode" + "zh/built-in-nodes/GrokVideoEditNode", + "zh/built-in-nodes/GrokVideoExtendNode", + "zh/built-in-nodes/GrokVideoNode", + "zh/built-in-nodes/GrokVideoReferenceNode" ] }, { - "group": "Krea", + "group": "Hitpaw", "pages": [ - "zh/built-in-nodes/Krea2ImageNode", - "zh/built-in-nodes/Krea2StyleReferenceNode" + "zh/built-in-nodes/HitPawVideoEnhance" ] }, { - "group": "Luma", + "group": "Kling", "pages": [ - "zh/built-in-nodes/LumaImageEditNode2", - "zh/built-in-nodes/LumaImageModifyNode", - "zh/built-in-nodes/LumaImageNode", - "zh/built-in-nodes/LumaImageNode2", - "zh/built-in-nodes/LumaReferenceNode" + "zh/built-in-nodes/KlingAvatarNode", + "zh/built-in-nodes/KlingCameraControlI2VNode", + "zh/built-in-nodes/KlingCameraControls", + "zh/built-in-nodes/KlingCameraControlT2VNode", + "zh/built-in-nodes/KlingDualCharacterVideoEffectNode", + "zh/built-in-nodes/KlingFirstLastFrameNode", + "zh/built-in-nodes/KlingImage2VideoNode", + "zh/built-in-nodes/KlingImageToVideoWithAudio", + "zh/built-in-nodes/KlingLipSyncAudioToVideoNode", + "zh/built-in-nodes/KlingLipSyncTextToVideoNode", + "zh/built-in-nodes/KlingMotionControl", + "zh/built-in-nodes/KlingOmniProEditVideoNode", + "zh/built-in-nodes/KlingOmniProFirstLastFrameNode", + "zh/built-in-nodes/KlingOmniProImageToVideoNode", + "zh/built-in-nodes/KlingOmniProTextToVideoNode", + "zh/built-in-nodes/KlingOmniProVideoToVideoNode", + "zh/built-in-nodes/KlingSingleImageVideoEffectNode", + "zh/built-in-nodes/KlingStartEndFrameNode", + "zh/built-in-nodes/KlingTextToVideoNode", + "zh/built-in-nodes/KlingTextToVideoWithAudio", + "zh/built-in-nodes/KlingVideoExtendNode", + "zh/built-in-nodes/KlingVideoNode" ] }, { - "group": "Magnific", + "group": "Ltxv", "pages": [ - "zh/built-in-nodes/MagnificImageRelightNode", - "zh/built-in-nodes/MagnificImageSkinEnhancerNode", - "zh/built-in-nodes/MagnificImageStyleTransferNode", - "zh/built-in-nodes/MagnificImageUpscalerCreativeNode", - "zh/built-in-nodes/MagnificImageUpscalerPreciseV2Node" + "zh/built-in-nodes/LtxvApiImageToVideo", + "zh/built-in-nodes/LtxvApiTextToVideo" ] }, { - "group": "Openai", + "group": "Luma", "pages": [ - "zh/built-in-nodes/OpenAIDalle2", - "zh/built-in-nodes/OpenAIDalle3", - "zh/built-in-nodes/OpenAIGPTImage1", - "zh/built-in-nodes/OpenAIGPTImageNodeV2" + "zh/built-in-nodes/LumaConceptsNode", + "zh/built-in-nodes/LumaImageToVideoNode", + "zh/built-in-nodes/LumaVideoNode" ] }, { - "group": "Quiver", + "group": "Minimax", "pages": [ - "zh/built-in-nodes/QuiverImageToSVGNode", - "zh/built-in-nodes/QuiverTextToSVGNode" + "zh/built-in-nodes/MinimaxHailuoVideoNode", + "zh/built-in-nodes/MinimaxImageToVideoNode", + "zh/built-in-nodes/MinimaxSubjectToVideoNode", + "zh/built-in-nodes/MinimaxTextToVideoNode" ] }, { - "group": "Recraft", + "group": "Pixverse", "pages": [ - "zh/built-in-nodes/RecraftColorRGB", - "zh/built-in-nodes/RecraftControls", - "zh/built-in-nodes/RecraftCreateStyleNode", - "zh/built-in-nodes/RecraftCreativeUpscaleNode", - "zh/built-in-nodes/RecraftCrispUpscaleNode", - "zh/built-in-nodes/RecraftImageInpaintingNode", - "zh/built-in-nodes/RecraftImageToImageNode", - "zh/built-in-nodes/RecraftRemoveBackgroundNode", - "zh/built-in-nodes/RecraftReplaceBackgroundNode", - "zh/built-in-nodes/RecraftStyleV3DigitalIllustration", - "zh/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", - "zh/built-in-nodes/RecraftStyleV3LogoRaster", - "zh/built-in-nodes/RecraftStyleV3RealisticImage", - "zh/built-in-nodes/RecraftStyleV3VectorIllustrationNode", - "zh/built-in-nodes/RecraftTextToImageNode", - "zh/built-in-nodes/RecraftTextToVectorNode", - "zh/built-in-nodes/RecraftV4TextToImageNode", - "zh/built-in-nodes/RecraftV4TextToVectorNode", - "zh/built-in-nodes/RecraftVectorizeImageNode" + "zh/built-in-nodes/PixverseImageToVideoNode", + "zh/built-in-nodes/PixverseTemplateNode", + "zh/built-in-nodes/PixverseTextToVideoNode", + "zh/built-in-nodes/PixverseTransitionVideoNode" ] }, { - "group": "Reve", + "group": "Runway", "pages": [ - "zh/built-in-nodes/ReveImageCreateNode", - "zh/built-in-nodes/ReveImageEditNode", - "zh/built-in-nodes/ReveImageRemixNode" + "zh/built-in-nodes/RunwayFirstLastFrameNode", + "zh/built-in-nodes/RunwayImageToVideoNodeGen3a", + "zh/built-in-nodes/RunwayImageToVideoNodeGen4" ] }, { - "group": "Runway", + "group": "Sora", "pages": [ - "zh/built-in-nodes/RunwayTextToImageNode" + "zh/built-in-nodes/OpenAIVideoSora2" ] }, { - "group": "Stability Ai", + "group": "Topaz", "pages": [ - "zh/built-in-nodes/StabilityStableImageSD_3_5Node", - "zh/built-in-nodes/StabilityStableImageUltraNode", - "zh/built-in-nodes/StabilityUpscaleConservativeNode", - "zh/built-in-nodes/StabilityUpscaleCreativeNode", - "zh/built-in-nodes/StabilityUpscaleFastNode" + "zh/built-in-nodes/TopazVideoEnhance", + "zh/built-in-nodes/TopazVideoEnhanceV2" ] }, { - "group": "Topaz", + "group": "Veo", "pages": [ - "zh/built-in-nodes/TopazImageEnhance" + "zh/built-in-nodes/Veo3FirstLastFrameNode", + "zh/built-in-nodes/Veo3VideoGenerationNode", + "zh/built-in-nodes/VeoVideoGenerationNode" + ] + }, + { + "group": "Vidu", + "pages": [ + "zh/built-in-nodes/Vidu2ImageToVideoNode", + "zh/built-in-nodes/Vidu2ReferenceVideoNode", + "zh/built-in-nodes/Vidu2StartEndToVideoNode", + "zh/built-in-nodes/Vidu2TextToVideoNode", + "zh/built-in-nodes/Vidu3ImageToVideoNode", + "zh/built-in-nodes/Vidu3StartEndToVideoNode", + "zh/built-in-nodes/Vidu3TextToVideoNode", + "zh/built-in-nodes/ViduExtendVideoNode", + "zh/built-in-nodes/ViduImageToVideoNode", + "zh/built-in-nodes/ViduMultiFrameVideoNode", + "zh/built-in-nodes/ViduReferenceVideoNode", + "zh/built-in-nodes/ViduStartEndToVideoNode", + "zh/built-in-nodes/ViduTextToVideoNode" ] }, { "group": "Wan", "pages": [ - "zh/built-in-nodes/WanImageToImageApi", - "zh/built-in-nodes/WanTextToImageApi" + "zh/built-in-nodes/HappyHorseImageToVideoApi", + "zh/built-in-nodes/HappyHorseReferenceVideoApi", + "zh/built-in-nodes/HappyHorseTextToVideoApi", + "zh/built-in-nodes/HappyHorseVideoEditApi", + "zh/built-in-nodes/Wan2ImageToVideoApi", + "zh/built-in-nodes/Wan2ReferenceVideoApi", + "zh/built-in-nodes/Wan2TextToVideoApi", + "zh/built-in-nodes/Wan2VideoContinuationApi", + "zh/built-in-nodes/Wan2VideoEditApi", + "zh/built-in-nodes/WanImageToVideoApi", + "zh/built-in-nodes/WanReferenceVideoApi", + "zh/built-in-nodes/WanTextToVideoApi" ] }, { "group": "Wavespeed", "pages": [ - "zh/built-in-nodes/WavespeedImageUpscaleNode" + "zh/built-in-nodes/WavespeedFlashVSRNode" ] } ] - }, - { - "group": "Shader", - "pages": [ - "zh/built-in-nodes/GLSLShader" - ] - }, + } + ] + }, + { + "group": "采样", + "pages": [ { - "group": "Transform", + "group": "自定义采样", "pages": [ - "zh/built-in-nodes/CenterCropImages", - "zh/built-in-nodes/CropByBBoxes", - "zh/built-in-nodes/ImageCrop", - "zh/built-in-nodes/ImageCropV2", - "zh/built-in-nodes/ImageFlip", - "zh/built-in-nodes/ImagePadForOutpaint", - "zh/built-in-nodes/ImageRotate", - "zh/built-in-nodes/ImageStitch", - "zh/built-in-nodes/RandomCropImages", - "zh/built-in-nodes/ResizeAndPadImage", - "zh/built-in-nodes/ResizeImagesByLongerEdge", - "zh/built-in-nodes/ResizeImagesByShorterEdge" + { + "group": "采样器", + "pages": [ + "zh/built-in-nodes/SamplerDpmpp2mSde", + "zh/built-in-nodes/SamplerDpmppSde" + ] + }, + { + "group": "调度器", + "pages": [ + "zh/built-in-nodes/Ideogram4Scheduler" + ] + }, + "zh/built-in-nodes/CFGOverride" ] - }, + } + ] + }, + { + "group": "文本", + "pages": [ + "zh/built-in-nodes/AddTextPrefix", + "zh/built-in-nodes/AddTextSuffix", + "zh/built-in-nodes/CaseConverter", + "zh/built-in-nodes/JsonExtractString", + "zh/built-in-nodes/MergeTextLists", + "zh/built-in-nodes/RegexExtract", + "zh/built-in-nodes/RegexMatch", + "zh/built-in-nodes/RegexReplace", + "zh/built-in-nodes/ReplaceText", + "zh/built-in-nodes/StringCompare", + "zh/built-in-nodes/StringConcatenate", + "zh/built-in-nodes/StringContains", + "zh/built-in-nodes/StringFormat", + "zh/built-in-nodes/StringLength", + "zh/built-in-nodes/StringReplace", + "zh/built-in-nodes/StringSubstring", + "zh/built-in-nodes/StringTrim", + "zh/built-in-nodes/StripWhitespace", + "zh/built-in-nodes/TextGenerate", + "zh/built-in-nodes/TextGenerateLTX2Prompt", + "zh/built-in-nodes/TextToLowercase", + "zh/built-in-nodes/TextToUppercase", + "zh/built-in-nodes/TruncateText" + ] + }, + { + "group": "实用工具", + "pages": [ { - "group": "Upscaling", + "group": "逻辑", "pages": [ - "zh/built-in-nodes/ImageScale", - "zh/built-in-nodes/ImageScaleBy", - "zh/built-in-nodes/ImageScaleToMaxDimension", - "zh/built-in-nodes/ImageScaleToTotalPixels", - "zh/built-in-nodes/ImageUpscaleWithModel" + "zh/built-in-nodes/AutogrowNamesTestNode", + "zh/built-in-nodes/AutogrowPrefixTestNode", + "zh/built-in-nodes/ComboOptionTestNode", + "zh/built-in-nodes/ComfyAndNode", + "zh/built-in-nodes/ComfyNotNode", + "zh/built-in-nodes/ComfyOrNode", + "zh/built-in-nodes/ComfySoftSwitchNode", + "zh/built-in-nodes/ComfySwitchNode", + "zh/built-in-nodes/ConvertStringToComboNode", + "zh/built-in-nodes/DCTestNode", + "zh/built-in-nodes/InvertBooleanNode" ] }, { - "group": "Video", + "group": "基元", "pages": [ - "zh/built-in-nodes/WanDancerPadKeyframes", - "zh/built-in-nodes/WanDancerPadKeyframesList" + "zh/built-in-nodes/PrimitiveBoolean", + "zh/built-in-nodes/PrimitiveBoundingBox", + "zh/built-in-nodes/PrimitiveFloat", + "zh/built-in-nodes/PrimitiveInt", + "zh/built-in-nodes/PrimitiveString", + "zh/built-in-nodes/PrimitiveStringMultiline" ] }, - "zh/built-in-nodes/BatchImagesNode", - "zh/built-in-nodes/ConditioningCombine", - "zh/built-in-nodes/EmptyImage", - "zh/built-in-nodes/GetImageSize", - "zh/built-in-nodes/ImageBatch", - "zh/built-in-nodes/ImageCompare", - "zh/built-in-nodes/ImageInvert", - "zh/built-in-nodes/LoadImage", - "zh/built-in-nodes/LoadImageDataSetFromFolder", - "zh/built-in-nodes/LoadImageMask", - "zh/built-in-nodes/LoadImageOutput", - "zh/built-in-nodes/LoadImageSetFromFolderNode", - "zh/built-in-nodes/LoadImageSetNode", - "zh/built-in-nodes/LoadImageTextDataSetFromFolder", - "zh/built-in-nodes/LoadImageTextSetFromFolderNode", - "zh/built-in-nodes/LoraLoader", - "zh/built-in-nodes/LoraLoaderModelOnly", - "zh/built-in-nodes/Painter", - "zh/built-in-nodes/PreviewImage", - "zh/built-in-nodes/ResizeImageMaskNode", - "zh/built-in-nodes/SaveAnimatedPNG", - "zh/built-in-nodes/SaveAnimatedWEBP", - "zh/built-in-nodes/SaveImage", - "zh/built-in-nodes/SaveImageAdvanced", - "zh/built-in-nodes/SaveImageDataSetToFolder", - "zh/built-in-nodes/SaveImageTextDataSetToFolder", - "zh/built-in-nodes/SaveSVGNode", - "zh/built-in-nodes/WebcamCapture" + "zh/built-in-nodes/ColorToRGBInt", + "zh/built-in-nodes/ComfyMathExpression", + "zh/built-in-nodes/ComfyNumberConvert", + "zh/built-in-nodes/CreateList", + "zh/built-in-nodes/CurveEditor", + "zh/built-in-nodes/CustomCombo", + "zh/built-in-nodes/ImageHistogram", + "zh/built-in-nodes/PreviewAny", + "zh/built-in-nodes/ResolutionSelector" ] }, { @@ -4470,1014 +4846,755 @@ ] }, { - "group": "条件", + "group": "视频", "pages": [ { - "group": "Video Models", + "group": "预处理器", "pages": [ - "zh/built-in-nodes/conditioning/video-models/wan-vace-to-video", - "zh/built-in-nodes/Stablezero123Conditioning", - "zh/built-in-nodes/Stablezero123ConditioningBatched", - "zh/built-in-nodes/SVD_img2vid_Conditioning", - "zh/built-in-nodes/SvdImg2vidConditioning" + "zh/built-in-nodes/LTXVPreprocess" ] }, - "zh/built-in-nodes/ConditioningAverage", - "zh/built-in-nodes/Sd4xupscaleConditioning" + "zh/built-in-nodes/CreateVideo", + "zh/built-in-nodes/FrameInterpolate", + "zh/built-in-nodes/GetVideoComponents", + "zh/built-in-nodes/LoadVideo", + "zh/built-in-nodes/SaveVideo", + "zh/built-in-nodes/SaveWEBM", + "zh/built-in-nodes/Video Slice" ] - }, - { - "group": "潜变量", - "pages": [ - { - "group": "Video", - "pages": [ - "zh/built-in-nodes/latent/video/trim-video-latent" - ] - } + } + ] + } + ] + }, + { + "tab": "开发", + "pages": [ + "zh/development/overview", + { + "group": "ComfyUI APIs", + "icon": "computer", + "pages": [ + "zh/development/api-development/overview", + { + "group": "Cloud API", + "icon": "cloud", + "pages": [ + "zh/development/cloud/overview", + "zh/development/cloud/api-reference", + "zh/development/cloud/openapi" ] }, { - "group": "采样", + "group": "ComfyUI Server API", + "icon": "server", "pages": [ - { - "group": "Custom Sampling", - "pages": [ - { - "group": "Samplers", - "pages": [ - "zh/built-in-nodes/SamplerDpmpp2mSde", - "zh/built-in-nodes/SamplerDpmppSde" - ] - } - ] - } + "zh/development/comfyui-server/comms_overview", + "zh/development/comfyui-server/startup-flags", + "zh/development/comfyui-server/comms_routes", + "zh/development/comfyui-server/api-examples", + "zh/development/comfyui-server/comms_messages", + "zh/development/comfyui-server/execution_model_inversion_guide" + ] + }, + "zh/development/comfyui-server/api-key-integration", + "zh/development/api-development/workflow-api-format", + "zh/development/api-development/getting-an-api-key" + ] + }, + { + "group": "CLI", + "pages": [ + "zh/comfy-cli/getting-started", + "zh/comfy-cli/reference", + "zh/comfy-cli/troubleshooting" + ] + }, + { + "group": "开发自定义节点", + "pages": [ + "zh/custom-nodes/overview", + "zh/custom-nodes/walkthrough", + { + "group": "后端", + "icon": "python", + "pages": [ + "zh/custom-nodes/backend/server_overview", + "zh/custom-nodes/backend/lifecycle", + "zh/custom-nodes/backend/datatypes", + "zh/custom-nodes/backend/images_and_masks", + "zh/custom-nodes/backend/more_on_inputs", + "zh/custom-nodes/backend/lazy_evaluation", + "zh/custom-nodes/backend/expansion", + "zh/custom-nodes/backend/lists", + "zh/custom-nodes/backend/snippets", + "zh/custom-nodes/backend/tensors", + "zh/custom-nodes/backend/node-replacement" ] }, { - "group": "高级", + "group": "UI", + "icon": "js", + "pages": [ + "zh/custom-nodes/js/javascript_overview", + "zh/custom-nodes/js/javascript_hooks", + "zh/custom-nodes/js/javascript_objects_and_hijacking", + "zh/custom-nodes/js/javascript_settings", + "zh/custom-nodes/js/javascript_dialog", + "zh/custom-nodes/js/javascript_toast", + "zh/custom-nodes/js/javascript_about_panel_badges", + "zh/custom-nodes/js/javascript_bottom_panel_tabs", + "zh/custom-nodes/js/javascript_sidebar_tabs", + "zh/custom-nodes/js/javascript_selection_toolbox", + "zh/custom-nodes/js/javascript_commands_keybindings", + "zh/custom-nodes/js/javascript_topbar_menu", + "zh/custom-nodes/js/context-menu-migration", + "zh/custom-nodes/js/subgraphs", + "zh/custom-nodes/js/javascript_examples", + "zh/custom-nodes/i18n" + ] + }, + "zh/custom-nodes/v3_migration", + "zh/custom-nodes/help_page", + "zh/custom-nodes/workflow_templates", + "zh/custom-nodes/subgraph_blueprints" + ] + }, + { + "group": "注册表(Registry)", + "pages": [ + "zh/registry/overview", + "zh/registry/publishing", + "zh/registry/claim-my-node", + "zh/registry/standards", + "zh/registry/cicd", + "zh/registry/specifications", + "zh/registry/api-reference/overview" + ] + }, + { + "group": "规范", + "pages": [ + { + "group": "Workflow JSON", + "pages": [ + "zh/specs/workflow_json", + "zh/specs/workflow_json_0.4" + ] + }, + { + "group": "节点定义", + "pages": [ + "zh/specs/nodedef_json", + "zh/specs/nodedef_json_1_0" + ] + } + ] + } + ] + }, + { + "tab": "支持", + "pages": [ + "zh/support/contact-support", + "zh/support/data-retention", + { + "group": "账户管理", + "icon": "user", + "pages": [ + "zh/account/create-account", + "zh/account/login", + "zh/account/delete-account" + ] + }, + { + "group": "账单支持", + "pages": [ + { + "group": "订阅", + "pages": [ + "zh/support/subscription/subscribing", + "zh/support/subscription/managing", + "zh/support/subscription/changing-plan", + "zh/support/subscription/canceling" + ] + }, + { + "group": "支付", + "pages": [ + "zh/support/payment/accepted-payment-methods", + "zh/support/payment/editing-payment-information", + "zh/support/payment/payment-history", + "zh/support/payment/unsuccessful-payments", + "zh/support/payment/payment-currency", + "zh/support/payment/invoice-information" + ] + } + ] + }, + { + "group": "故障排除", + "icon": "bug", + "pages": [ + "zh/troubleshooting/overview", + "zh/troubleshooting/model-issues", + "zh/troubleshooting/custom-node-issues" + ] + }, + { + "group": "社区", + "pages": [ + "zh/community/contributing", + "zh/community/links" + ] + } + ] + }, + { + "tab": "Registry API Reference", + "openapi": "https://api.comfy.org/openapi" + }, + { + "tab": "Cloud API 参考文档", + "openapi": { + "source": "openapi-cloud.yaml", + "directory": "zh/api-reference/cloud" + } + } + ] + }, + { + "language": "ja", + "tabs": [ + { + "tab": "はじめに", + "pages": [ + { + "group": "はじめに", + "pages": [ + "ja/index", + { + "group": "ローカル (セルフホステッド)", + "icon": "download", "pages": [ + "ja/installation/system_requirements", { - "group": "Conditioning", + "group": "Comfy Desktop", "pages": [ + "ja/installation/desktop/overview", { - "group": "Audio", - "pages": [ - "zh/built-in-nodes/ReferenceTimbreAudio" - ] - }, - { - "group": "Edit Models", + "group": "インストール", "pages": [ - "zh/built-in-nodes/ReferenceLatent" + "ja/installation/desktop/windows", + "ja/installation/desktop/macos", + "ja/installation/desktop/linux" ] }, { - "group": "Flux", + "group": "使い方ガイド", "pages": [ - "zh/built-in-nodes/ClipTextEncodeFlux", - "zh/built-in-nodes/FluxDisableGuidance", - "zh/built-in-nodes/FluxGuidance", - "zh/built-in-nodes/FluxKontextImageScale", - "zh/built-in-nodes/FluxKontextMultiReferenceLatentMethod" + "ja/installation/desktop/usage/overview", + "ja/installation/desktop/usage/instance-management", + "ja/installation/desktop/usage/snapshots", + "ja/installation/desktop/usage/manage", + "ja/installation/desktop/usage/settings", + "ja/installation/desktop/usage/migrate" ] }, - { - "group": "Kandinsky5", - "pages": [ - "zh/built-in-nodes/CLIPTextEncodeKandinsky5" - ] - }, - "zh/built-in-nodes/CLIPTextEncodeHiDream", - "zh/built-in-nodes/ClipTextEncodeHunyuanDit", - "zh/built-in-nodes/CLIPTextEncodePixArtAlpha", - "zh/built-in-nodes/CLIPTextEncodeSD3", - "zh/built-in-nodes/ClipTextEncodeSdxl", - "zh/built-in-nodes/ClipTextEncodeSdxlRefiner", - "zh/built-in-nodes/ConditioningSetTimestepRange", - "zh/built-in-nodes/ConditioningZeroOut", - "zh/built-in-nodes/PiDConditioning", - "zh/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo", - "zh/built-in-nodes/TextEncodeQwenImageEdit", - "zh/built-in-nodes/TextEncodeQwenImageEditPlus", - "zh/built-in-nodes/TextEncodeZImageOmni" + "ja/installation/desktop/faq" ] }, + "ja/installation/comfyui_portable_windows", + "ja/installation/manual_install", + "ja/installation/update_comfyui" + ] + }, + "ja/get_started/cloud", + { + "group": "カスタムノードのインストール", + "icon": "puzzle-piece", + "pages": [ + "ja/installation/install_custom_node", { - "group": "Debug", + "group": "ComfyUI-Manager", "pages": [ + "ja/manager/overview", + "ja/manager/install", { - "group": "Model", + "group": "カスタムノード管理", "pages": [ - "zh/built-in-nodes/EasyCache", - "zh/built-in-nodes/LazyCache", - "zh/built-in-nodes/ModelComputeDtype" + "ja/manager/pack-management", + "ja/manager/legacy-ui" ] - } + }, + "ja/manager/configuration", + "ja/manager/troubleshooting" ] - }, + } + ] + }, + "ja/get_started/first_generation" + ] + }, + { + "group": "基本概念", + "pages": [ + "ja/development/core-concepts/workflow", + "ja/development/core-concepts/nodes", + "ja/development/core-concepts/custom-nodes", + "ja/development/core-concepts/properties", + "ja/development/core-concepts/links", + "ja/development/core-concepts/models", + "ja/development/core-concepts/dependencies" + ] + }, + { + "group": "インターフェースガイド", + "pages": [ + "ja/interface/overview", + "ja/interface/app-mode", + "ja/interface/nodes-2", + "ja/interface/maskeditor", + "ja/interface/features/template", + "ja/interface/features/subgraph", + "ja/interface/features/partial-execution", + "ja/interface/features/node-docs", + { + "group": "ComfyUI Settings", + "icon": "gear", + "pages": [ + "ja/interface/settings/overview", + "ja/interface/user", + "ja/interface/credits", + "ja/interface/settings/comfy", + "ja/interface/settings/lite-graph", + "ja/interface/appearance", + "ja/interface/settings/3d", + "ja/interface/settings/comfy-desktop", + "ja/interface/settings/mask-editor", + "ja/interface/shortcuts", + "ja/interface/settings/extension", + "ja/interface/settings/about", + "ja/interface/settings/server-config" + ] + }, + { + "group": "Cloud 専用機能", + "icon": "cloud", + "pages": [ + "ja/cloud/share-workflow", + "ja/cloud/import-models" + ] + } + ] + }, + { + "group": "Agent Tools / MCP", + "icon": "robot", + "pages": [ + "ja/agent-tools/index", + "ja/agent-tools/cloud", + "ja/agent-tools/partner-mcp" + ] + }, + { + "group": "チュートリアル", + "icon": "book", + "pages": [ + { + "group": "基本例", + "pages": [ + "ja/tutorials/basic/text-to-image", + "ja/tutorials/basic/image-to-image", + "ja/tutorials/basic/inpaint", + "ja/tutorials/basic/outpaint", + "ja/tutorials/basic/upscale", + "ja/tutorials/basic/lora", + "ja/tutorials/basic/multiple-loras" + ] + }, + { + "group": "ControlNet", + "pages": [ + "ja/tutorials/controlnet/controlnet", + "ja/tutorials/controlnet/pose-controlnet-2-pass", + "ja/tutorials/controlnet/depth-controlnet", + "ja/tutorials/controlnet/depth-t2i-adapter", + "ja/tutorials/controlnet/mixing-controlnets" + ] + }, + { + "group": "画像", + "pages": [ { - "group": "Guidance", + "group": "Flux", "pages": [ - "zh/built-in-nodes/CFGNorm", - "zh/built-in-nodes/CFGZeroStar", - "zh/built-in-nodes/NAGuidance", - "zh/built-in-nodes/SkipLayerGuidanceDiT", - "zh/built-in-nodes/SkipLayerGuidanceDiTSimple", - "zh/built-in-nodes/SkipLayerGuidanceSD3", - "zh/built-in-nodes/TCFG" + "ja/tutorials/flux/flux-2-dev", + "ja/tutorials/flux/flux-2-klein", + "ja/tutorials/flux/flux1-krea-dev", + "ja/tutorials/flux/flux-1-kontext-dev", + "ja/tutorials/flux/flux-1-text-to-image", + "ja/tutorials/flux/flux-1-uso", + "ja/tutorials/flux/flux-1-fill-dev", + "ja/tutorials/flux/flux-1-controlnet" ] }, { - "group": "Hooks", + "group": "Qwen", "pages": [ - { - "group": "Clip", - "pages": [ - "zh/built-in-nodes/SetClipHooks" - ] - }, - { - "group": "Combine", - "pages": [ - "zh/built-in-nodes/CombineHooks", - "zh/built-in-nodes/CombineHooksEight", - "zh/built-in-nodes/CombineHooksFour" - ] - }, - { - "group": "Cond Pair", - "pages": [ - "zh/built-in-nodes/PairConditioningCombine", - "zh/built-in-nodes/PairConditioningSetDefaultAndCombine", - "zh/built-in-nodes/PairConditioningSetProperties", - "zh/built-in-nodes/PairConditioningSetPropertiesAndCombine" - ] - }, - { - "group": "Cond Single", - "pages": [ - "zh/built-in-nodes/ConditioningSetDefaultAndCombine", - "zh/built-in-nodes/ConditioningSetProperties", - "zh/built-in-nodes/ConditioningSetPropertiesAndCombine" - ] - }, - { - "group": "Create", - "pages": [ - "zh/built-in-nodes/CreateHookLora", - "zh/built-in-nodes/CreateHookLoraModelOnly", - "zh/built-in-nodes/CreateHookModelAsLora", - "zh/built-in-nodes/CreateHookModelAsLoraModelOnly" - ] - }, - { - "group": "Manual", - "pages": [ - "zh/built-in-nodes/SetModelHooksOnCond" - ] - }, - { - "group": "Scheduling", - "pages": [ - "zh/built-in-nodes/CreateHookKeyframe", - "zh/built-in-nodes/CreateHookKeyframesFromFloats", - "zh/built-in-nodes/CreateHookKeyframesInterpolated", - "zh/built-in-nodes/SetHookKeyframes" - ] - }, - "zh/built-in-nodes/ConditioningTimestepsRange" + "ja/tutorials/image/qwen/qwen-image", + "ja/tutorials/image/qwen/qwen-image-2512", + "ja/tutorials/image/qwen/qwen-image-edit", + "ja/tutorials/image/qwen/qwen-image-edit-2511", + "ja/tutorials/image/qwen/qwen-image-layered" ] }, { - "group": "Loaders", + "group": "Z-Image", "pages": [ - { - "group": "Deprecated", - "pages": [ - "zh/built-in-nodes/DiffusersLoader" - ] - }, - { - "group": "Qwen", - "pages": [ - "zh/built-in-nodes/QwenImageDiffsynthControlnet" - ] - }, - { - "group": "Zimage", - "pages": [ - "zh/built-in-nodes/ZImageFunControlnet" - ] - }, - "zh/built-in-nodes/CheckpointLoader", - "zh/built-in-nodes/ClipLoader", - "zh/built-in-nodes/DeprecatedCheckpointLoader", - "zh/built-in-nodes/DeprecatedDiffusersLoader", - "zh/built-in-nodes/DualCLIPLoader", - "zh/built-in-nodes/LTXAVTextEncoderLoader", - "zh/built-in-nodes/ModelPatchLoader", - "zh/built-in-nodes/QuadrupleCLIPLoader", - "zh/built-in-nodes/TripleCLIPLoader", - "zh/built-in-nodes/UNETLoader" + "ja/tutorials/image/z-image/z-image", + "ja/tutorials/image/z-image/z-image-turbo" ] }, { - "group": "Model", + "group": "HiDream", "pages": [ - "zh/built-in-nodes/HiDreamO1PatchSeamSmoothing", - "zh/built-in-nodes/ModelNoiseScale", - "zh/built-in-nodes/ModelSamplingAuraFlow", - "zh/built-in-nodes/ModelSamplingContinuousEDM", - "zh/built-in-nodes/ModelSamplingContinuousV", - "zh/built-in-nodes/ModelSamplingDiscrete", - "zh/built-in-nodes/ModelSamplingFlux", - "zh/built-in-nodes/ModelSamplingLTXV", - "zh/built-in-nodes/ModelSamplingSD3", - "zh/built-in-nodes/ModelSamplingStableCascade", - "zh/built-in-nodes/RenormCFG", - "zh/built-in-nodes/RescaleCFG" + "ja/tutorials/image/hidream/hidream-i1", + "ja/tutorials/image/hidream/hidream-e1", + "ja/tutorials/image/hidream/hidream-o1" ] }, { - "group": "Model Merging", + "group": "Ovis", + "pages": [ + "ja/tutorials/image/ovis/ovis-image" + ] + }, + { + "group": "NewBie-image", + "pages": [ + "ja/tutorials/image/newbie-image/newbie-image-exp-0-1" + ] + }, + { + "group": "ERNIE-Image", + "pages": [ + "ja/tutorials/image/ernie-image/ernie-image" + ] + }, + { + "group": "Anima", + "pages": [ + "ja/tutorials/image/anima/anima" + ] + }, + { + "group": "レンズ", + "pages": [ + "ja/tutorials/image/lens/lens" + ] + }, + { + "group": "PixelDiT", + "pages": [ + "ja/tutorials/image/pixeldit/pixeldit" + ] + }, + { + "group": "Ideogram", + "pages": [ + "ja/tutorials/image/ideogram/ideogram-v4" + ] + }, + "ja/tutorials/image/cosmos/cosmos-predict2-t2i", + "ja/tutorials/image/omnigen/omnigen2" + ] + }, + { + "group": "3D", + "pages": [ + "ja/tutorials/3d/triposplat", + "ja/tutorials/3d/hunyuan3D-2" + ] + }, + { + "group": "LLM", + "pages": [ + "ja/tutorials/llm/gemma4/gemma4", + "ja/tutorials/llm/qwen/qwen3", + "ja/tutorials/llm/qwen/qwen3_5" + ] + }, + { + "group": "ビデオ", + "pages": [ + { + "group": "LTX", + "pages": [ + "ja/tutorials/video/ltxv", + "ja/tutorials/video/ltx/ltx-2", + "ja/tutorials/video/ltx/ltx-2-3" + ] + }, + { + "group": "Wan Video", "pages": [ + "ja/tutorials/video/wan/wan2_2", + "ja/tutorials/video/wan/wan2-2-animate", + "ja/tutorials/video/wan/wan2-2-s2v", + "ja/tutorials/video/wan/wan2-2-fun-inp", + "ja/tutorials/video/wan/wan2-2-fun-control", + "ja/tutorials/video/wan/wan2-2-fun-camera", { - "group": "Model Specific", + "group": "Wan2.1", "pages": [ - "zh/built-in-nodes/ModelMergeAuraflow", - "zh/built-in-nodes/ModelMergeCosmos14B", - "zh/built-in-nodes/ModelMergeCosmos7B", - "zh/built-in-nodes/ModelMergeCosmosPredict2_14B", - "zh/built-in-nodes/ModelMergeCosmosPredict2_2B", - "zh/built-in-nodes/ModelMergeFlux1", - "zh/built-in-nodes/ModelMergeLTXV", - "zh/built-in-nodes/ModelMergeMochiPreview", - "zh/built-in-nodes/ModelMergeQwenImage", - "zh/built-in-nodes/ModelMergeSD1", - "zh/built-in-nodes/ModelMergeSD35_Large", - "zh/built-in-nodes/ModelMergeSD3_2B", - "zh/built-in-nodes/ModelMergeSDXL", - "zh/built-in-nodes/ModelMergeWAN2_1" + "ja/tutorials/video/wan/wan-video", + "ja/tutorials/video/wan/vace", + "ja/tutorials/video/wan/wan-move", + "ja/tutorials/video/wan/wan-alpha", + "ja/tutorials/video/wan/wan-ati", + "ja/tutorials/video/wan/fun-control", + "ja/tutorials/video/wan/fun-camera", + "ja/tutorials/video/wan/fun-inp", + "ja/tutorials/video/wan/wan-flf" ] - }, - "zh/built-in-nodes/CheckpointSave", - "zh/built-in-nodes/CLIPMergeAdd", - "zh/built-in-nodes/ClipMergeSimple", - "zh/built-in-nodes/CLIPMergeSubtract", - "zh/built-in-nodes/ClipSave", - "zh/built-in-nodes/ImageOnlyCheckpointSave", - "zh/built-in-nodes/ModelMergeAdd", - "zh/built-in-nodes/ModelMergeBlocks", - "zh/built-in-nodes/ModelMergeSimple", - "zh/built-in-nodes/ModelMergeSubtract", - "zh/built-in-nodes/ModelSave", - "zh/built-in-nodes/SaveLoRA", - "zh/built-in-nodes/SaveLoRANode", - "zh/built-in-nodes/VAESave" + } ] }, { - "group": "Multigpu", + "group": "Hunyuan", "pages": [ - "zh/built-in-nodes/MultiGPU_Options", - "zh/built-in-nodes/MultiGPU_WorkUnits", - "zh/built-in-nodes/SelectCLIPDevice", - "zh/built-in-nodes/SelectModelDevice", - "zh/built-in-nodes/SelectVAEDevice" + "ja/tutorials/video/hunyuan/hunyuan-video", + "ja/tutorials/video/hunyuan/hunyuan-video-1-5" ] }, - "zh/built-in-nodes/MoonvalleyImg2VideoNode", - "zh/built-in-nodes/MoonvalleyTxt2VideoNode", - "zh/built-in-nodes/MoonvalleyVideo2VideoNode" + { + "group": "Cosmos", + "pages": [ + "ja/tutorials/video/cosmos/cosmos-predict2-video2world" + ] + }, + { + "group": "Kandinsky", + "pages": [ + "ja/tutorials/video/kandinsky/kandinsky-5" + ] + } ] - } - ] - } - ] - }, - { - "tab": "开发", - "pages": [ - "zh/development/overview", - { - "group": "ComfyUI APIs", - "icon": "computer", - "pages": [ - "zh/development/api-development/overview", + }, { - "group": "Cloud API", - "icon": "cloud", + "group": "オーディオ", "pages": [ - "zh/development/cloud/overview", - "zh/development/cloud/api-reference", - "zh/development/cloud/openapi" + { + "group": "Stable Audio 1.0", + "pages": [ + "ja/tutorials/audio/stable-audio/stable-audio-1" + ] + }, + { + "group": "Stable Audio 3", + "pages": [ + "ja/tutorials/audio/stable-audio/stable-audio-3" + ] + }, + { + "group": "ACE-Step", + "pages": [ + "ja/tutorials/audio/ace-step/ace-step-v1", + "ja/tutorials/audio/ace-step/ace-step-v1-5" + ] + } ] }, { - "group": "ComfyUI Server API", - "icon": "server", + "group": "ユーティリティ", "pages": [ - "zh/development/comfyui-server/comms_overview", - "zh/development/comfyui-server/startup-flags", - "zh/development/comfyui-server/comms_routes", - "zh/development/comfyui-server/api-examples", - "zh/development/comfyui-server/comms_messages", - "zh/development/comfyui-server/execution_model_inversion_guide" + "ja/tutorials/utility/preprocessors", + "ja/tutorials/utility/frame-interpolation", + "ja/tutorials/utility/image-upscale", + "ja/tutorials/utility/video-upscale", + "ja/tutorials/utility/void-video-inpainting", + "ja/tutorials/utility/video-segment-sam3", + "ja/tutorials/utility/remove-background-birefnet", + "ja/tutorials/utility/moge", + { + "group": "顔検出", + "pages": [ + "ja/tutorials/utility/face-detection/mediapipe" + ] + } ] - }, - "zh/development/comfyui-server/api-key-integration", - "zh/development/api-development/workflow-api-format", - "zh/development/api-development/getting-an-api-key" - ] - }, - { - "group": "CLI", - "pages": [ - "zh/comfy-cli/getting-started", - "zh/comfy-cli/reference", - "zh/comfy-cli/troubleshooting" + } ] }, { - "group": "开发自定义节点", + "group": "パートナーノード", + "icon": "handshake", "pages": [ - "zh/custom-nodes/overview", - "zh/custom-nodes/walkthrough", + "ja/tutorials/partner-nodes/overview", + "ja/tutorials/partner-nodes/faq", + "ja/tutorials/partner-nodes/pricing", + "ja/tutorials/partner-nodes/concurrency-limits", { - "group": "后端", - "icon": "python", + "group": "Black Forest Labs", "pages": [ - "zh/custom-nodes/backend/server_overview", - "zh/custom-nodes/backend/lifecycle", - "zh/custom-nodes/backend/datatypes", - "zh/custom-nodes/backend/images_and_masks", - "zh/custom-nodes/backend/more_on_inputs", - "zh/custom-nodes/backend/lazy_evaluation", - "zh/custom-nodes/backend/expansion", - "zh/custom-nodes/backend/lists", - "zh/custom-nodes/backend/snippets", - "zh/custom-nodes/backend/tensors", - "zh/custom-nodes/backend/node-replacement" + "ja/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", + "ja/tutorials/partner-nodes/black-forest-labs/flux-1-kontext" ] }, { - "group": "UI", - "icon": "js", + "group": "Beeble", "pages": [ - "zh/custom-nodes/js/javascript_overview", - "zh/custom-nodes/js/javascript_hooks", - "zh/custom-nodes/js/javascript_objects_and_hijacking", - "zh/custom-nodes/js/javascript_settings", - "zh/custom-nodes/js/javascript_dialog", - "zh/custom-nodes/js/javascript_toast", - "zh/custom-nodes/js/javascript_about_panel_badges", - "zh/custom-nodes/js/javascript_bottom_panel_tabs", - "zh/custom-nodes/js/javascript_sidebar_tabs", - "zh/custom-nodes/js/javascript_selection_toolbox", - "zh/custom-nodes/js/javascript_commands_keybindings", - "zh/custom-nodes/js/javascript_topbar_menu", - "zh/custom-nodes/js/context-menu-migration", - "zh/custom-nodes/js/subgraphs", - "zh/custom-nodes/js/javascript_examples", - "zh/custom-nodes/i18n" + "ja/tutorials/partner-nodes/beeble/beeble-switchx" ] }, - "zh/custom-nodes/v3_migration", - "zh/custom-nodes/help_page", - "zh/custom-nodes/workflow_templates", - "zh/custom-nodes/subgraph_blueprints" - ] - }, - { - "group": "注册表(Registry)", - "pages": [ - "zh/registry/overview", - "zh/registry/publishing", - "zh/registry/claim-my-node", - "zh/registry/standards", - "zh/registry/cicd", - "zh/registry/specifications", - "zh/registry/api-reference/overview" - ] - }, - { - "group": "规范", - "pages": [ { - "group": "工作流 JSON", + "group": "ByteDance", "pages": [ - "zh/specs/workflow_json", - "zh/specs/workflow_json_0.4" + "ja/tutorials/partner-nodes/bytedance/seedance-2-0", + "ja/tutorials/partner-nodes/bytedance/seedance-2-0-real-human", + "ja/tutorials/partner-nodes/bytedance/seedream-5-lite" ] }, { - "group": "节点定义", + "group": "Google", "pages": [ - "zh/specs/nodedef_json", - "zh/specs/nodedef_json_1_0" + "ja/tutorials/partner-nodes/google/gemini", + "ja/tutorials/partner-nodes/google/nano-banana-pro", + "ja/tutorials/partner-nodes/google/nano-banana-2" ] - } - ] - } - ] - }, - { - "tab": "支持", - "pages": [ - "zh/support/contact-support", - "zh/support/data-retention", - { - "group": "账户管理", - "icon": "user", - "pages": [ - "zh/account/create-account", - "zh/account/login", - "zh/account/delete-account" - ] - }, - { - "group": "账单支持", - "pages": [ + }, { - "group": "订阅", + "group": "Anthropic", "pages": [ - "zh/support/subscription/subscribing", - "zh/support/subscription/managing", - "zh/support/subscription/changing-plan", - "zh/support/subscription/canceling" + "ja/tutorials/partner-nodes/anthropic/claude" ] }, { - "group": "支付", + "group": "Stability AI", "pages": [ - "zh/support/payment/accepted-payment-methods", - "zh/support/payment/editing-payment-information", - "zh/support/payment/payment-history", - "zh/support/payment/unsuccessful-payments", - "zh/support/payment/payment-currency", - "zh/support/payment/invoice-information" + "ja/tutorials/partner-nodes/stability-ai/stable-image-ultra", + "ja/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", + "ja/tutorials/partner-nodes/stability-ai/stable-audio" ] - } - ] - }, - { - "group": "故障排除", - "icon": "bug", - "pages": [ - "zh/troubleshooting/overview", - "zh/troubleshooting/model-issues", - "zh/troubleshooting/custom-node-issues" - ] - }, - { - "group": "社区", - "pages": [ - "zh/community/contributing", - "zh/community/links" - ] - } - ] - }, - { - "tab": "Registry API Reference", - "openapi": "https://api.comfy.org/openapi" - }, - { - "tab": "Cloud API 参考文档", - "openapi": { - "source": "openapi-cloud.yaml", - "directory": "zh/api-reference/cloud" - } - } - ] - }, - { - "language": "ja", - "tabs": [ - { - "tab": "はじめに", - "pages": [ - { - "group": "はじめに", - "pages": [ - "ja/index", + }, { - "group": "ローカル (セルフホステッド)", - "icon": "download", + "group": "Ideogram", "pages": [ - "ja/installation/system_requirements", - { - "group": "Comfy Desktop", - "pages": [ - "ja/installation/desktop/overview", - { - "group": "インストール", - "pages": [ - "ja/installation/desktop/windows", - "ja/installation/desktop/macos", - "ja/installation/desktop/linux" - ] - }, - { - "group": "使い方ガイド", - "pages": [ - "ja/installation/desktop/usage/overview", - "ja/installation/desktop/usage/instance-management", - "ja/installation/desktop/usage/snapshots", - "ja/installation/desktop/usage/manage", - "ja/installation/desktop/usage/settings", - "ja/installation/desktop/usage/migrate" - ] - }, - "ja/installation/desktop/faq" - ] - }, - "ja/installation/comfyui_portable_windows", - "ja/installation/manual_install", - "ja/installation/update_comfyui" + "ja/tutorials/partner-nodes/ideogram/ideogram-v4", + "ja/tutorials/partner-nodes/ideogram/ideogram-v3" ] }, - "ja/get_started/cloud", { - "group": "カスタムノードのインストール", - "icon": "puzzle-piece", + "group": "Luma", "pages": [ - "ja/installation/install_custom_node", - { - "group": "ComfyUI-Manager", - "pages": [ - "ja/manager/overview", - "ja/manager/install", - { - "group": "カスタムノード管理", - "pages": [ - "ja/manager/pack-management", - "ja/manager/legacy-ui" - ] - }, - "ja/manager/configuration", - "ja/manager/troubleshooting" - ] - } + "ja/tutorials/partner-nodes/luma/luma-uni-1", + "ja/tutorials/partner-nodes/luma/luma-text-to-image", + "ja/tutorials/partner-nodes/luma/luma-image-to-image", + "ja/tutorials/partner-nodes/luma/luma-text-to-video", + "ja/tutorials/partner-nodes/luma/luma-image-to-video" ] }, - "ja/get_started/first_generation" - ] - }, - { - "group": "基本概念", - "pages": [ - "ja/development/core-concepts/workflow", - "ja/development/core-concepts/nodes", - "ja/development/core-concepts/custom-nodes", - "ja/development/core-concepts/properties", - "ja/development/core-concepts/links", - "ja/development/core-concepts/models", - "ja/development/core-concepts/dependencies" - ] - }, - { - "group": "インターフェースガイド", - "pages": [ - "ja/interface/overview", - "ja/interface/app-mode", - "ja/interface/nodes-2", - "ja/interface/maskeditor", - "ja/interface/features/template", - "ja/interface/features/subgraph", - "ja/interface/features/partial-execution", - "ja/interface/features/node-docs", { - "group": "ComfyUI 設定", - "icon": "gear", + "group": "Moonvalley", "pages": [ - "ja/interface/settings/overview", - "ja/interface/user", - "ja/interface/credits", - "ja/interface/settings/comfy", - "ja/interface/settings/lite-graph", - "ja/interface/appearance", - "ja/interface/settings/3d", - "ja/interface/settings/comfy-desktop", - "ja/interface/settings/mask-editor", - "ja/interface/shortcuts", - "ja/interface/settings/extension", - "ja/interface/settings/about", - "ja/interface/settings/server-config" + "ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation" ] }, { - "group": "Cloud 専用機能", - "icon": "cloud", + "group": "OpenAI", "pages": [ - "ja/cloud/share-workflow", - "ja/cloud/import-models" + "ja/tutorials/partner-nodes/openai/gpt-image-2", + "ja/tutorials/partner-nodes/openai/gpt-image-1", + "ja/tutorials/partner-nodes/openai/dall-e-2", + "ja/tutorials/partner-nodes/openai/dall-e-3", + "ja/tutorials/partner-nodes/openai/chat" ] - } - ] - }, - { - "group": "Agent Tools / MCP", - "icon": "robot", - "pages": [ - "ja/agent-tools/index", - "ja/agent-tools/cloud", - "ja/agent-tools/partner-mcp" - ] - }, - { - "group": "チュートリアル", - "icon": "book", - "pages": [ + }, { - "group": "基本チュートリアル", + "group": "OpenRouter", "pages": [ - "ja/tutorials/basic/text-to-image", - "ja/tutorials/basic/image-to-image", - "ja/tutorials/basic/inpaint", - "ja/tutorials/basic/outpaint", - "ja/tutorials/basic/upscale", - "ja/tutorials/basic/lora", - "ja/tutorials/basic/multiple-loras" + "ja/tutorials/partner-nodes/openrouter/llm" ] }, { - "group": "ControlNet", + "group": "Recraft", "pages": [ - "ja/tutorials/controlnet/controlnet", - "ja/tutorials/controlnet/pose-controlnet-2-pass", - "ja/tutorials/controlnet/depth-controlnet", - "ja/tutorials/controlnet/depth-t2i-adapter", - "ja/tutorials/controlnet/mixing-controlnets" + "ja/tutorials/partner-nodes/recraft/recraft-v4", + "ja/tutorials/partner-nodes/recraft/recraft-text-to-image" ] }, { - "group": "Image", + "group": "Kling", "pages": [ - { - "group": "Flux", - "pages": [ - "ja/tutorials/flux/flux-2-dev", - "ja/tutorials/flux/flux-2-klein", - "ja/tutorials/flux/flux1-krea-dev", - "ja/tutorials/flux/flux-1-kontext-dev", - "ja/tutorials/flux/flux-1-text-to-image", - "ja/tutorials/flux/flux-1-uso", - "ja/tutorials/flux/flux-1-fill-dev", - "ja/tutorials/flux/flux-1-controlnet" - ] - }, - { - "group": "Qwen", - "pages": [ - "ja/tutorials/image/qwen/qwen-image", - "ja/tutorials/image/qwen/qwen-image-2512", - "ja/tutorials/image/qwen/qwen-image-edit", - "ja/tutorials/image/qwen/qwen-image-edit-2511", - "ja/tutorials/image/qwen/qwen-image-layered" - ] - }, - { - "group": "Z-Image", - "pages": [ - "ja/tutorials/image/z-image/z-image", - "ja/tutorials/image/z-image/z-image-turbo" - ] - }, - { - "group": "Ovis", - "pages": [ - "ja/tutorials/image/ovis/ovis-image" - ] - }, - { - "group": "HiDream", - "pages": [ - "ja/tutorials/image/hidream/hidream-i1", - "ja/tutorials/image/hidream/hidream-e1", - "ja/tutorials/image/hidream/hidream-o1" - ] - }, - { - "group": "NewBie-image", - "pages": [ - "ja/tutorials/image/newbie-image/newbie-image-exp-0-1" - ] - }, - { - "group": "Anima", - "pages": [ - "ja/tutorials/image/anima/anima" - ] - }, - { - "group": "Lens", - "pages": [ - "ja/tutorials/image/lens/lens" - ] - }, - { - "group": "PixelDiT", - "pages": [ - "ja/tutorials/image/pixeldit/pixeldit" - ] - }, - { - "group": "Ideogram", - "pages": [ - "ja/tutorials/image/ideogram/ideogram-v4" - ] - }, - "ja/tutorials/image/cosmos/cosmos-predict2-t2i", - "ja/tutorials/image/omnigen/omnigen2" + "ja/tutorials/partner-nodes/kling/kling-3-0", + "ja/tutorials/partner-nodes/kling/kling-motion-control" ] }, { - "group": "3D", + "group": "Runway", "pages": [ - "ja/tutorials/3d/triposplat", - "tutorials/3d/hunyuan3D-2" + "ja/tutorials/partner-nodes/runway/image-generation", + "ja/tutorials/partner-nodes/runway/video-generation" ] }, { - "group": "LLM", + "group": "Rodin", "pages": [ - "ja/tutorials/llm/gemma4/gemma4", - "ja/tutorials/llm/qwen/qwen3", - "ja/tutorials/llm/qwen/qwen3_5" + "ja/tutorials/partner-nodes/rodin/model-generation" ] }, { - "group": "動画", + "group": "Tripo", "pages": [ - { - "group": "LTX", - "pages": [ - "ja/tutorials/video/ltxv", - "ja/tutorials/video/ltx/ltx-2", - "ja/tutorials/video/ltx/ltx-2-3" - ] - }, - { - "group": "Wan Video", - "pages": [ - "ja/tutorials/video/wan/wan2_2", - "ja/tutorials/video/wan/wan2-2-animate", - "ja/tutorials/video/wan/wan2-2-s2v", - "ja/tutorials/video/wan/wan2-2-fun-inp", - "ja/tutorials/video/wan/wan2-2-fun-control", - "ja/tutorials/video/wan/wan2-2-fun-camera", - { - "group": "Wan2.1", - "pages": [ - "ja/tutorials/video/wan/wan-video", - "ja/tutorials/video/wan/vace", - "ja/tutorials/video/wan/wan-move", - "ja/tutorials/video/wan/wan-alpha", - "ja/tutorials/video/wan/wan-ati", - "ja/tutorials/video/wan/fun-control", - "ja/tutorials/video/wan/fun-camera", - "ja/tutorials/video/wan/fun-inp", - "ja/tutorials/video/wan/wan-flf" - ] - } - ] - }, - { - "group": "Tencent Hunyuan", - "pages": [ - "ja/tutorials/video/hunyuan/hunyuan-video", - "ja/tutorials/video/hunyuan/hunyuan-video-1-5" - ] - }, - { - "group": "Cosmos", - "pages": [ - "ja/tutorials/video/cosmos/cosmos-predict2-video2world" - ] - }, - { - "group": "Kandinsky", - "pages": [ - "ja/tutorials/video/kandinsky/kandinsky-5" - ] - } + "ja/tutorials/partner-nodes/tripo/model-generation", + "ja/tutorials/partner-nodes/tripo/tripo-3-1" ] }, { - "group": "オーディオ", + "group": "Hunyuan 3D", "pages": [ - { - "group": "Stable Audio 1.0", - "pages": [ - "ja/tutorials/audio/stable-audio/stable-audio-1" - ] - }, - { - "group": "Stable Audio 3", - "pages": [ - "ja/tutorials/audio/stable-audio/stable-audio-3" - ] - }, - { - "group": "ACE-Step", - "pages": [ - "ja/tutorials/audio/ace-step/ace-step-v1", - "ja/tutorials/audio/ace-step/ace-step-v1-5" - ] - } + "ja/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" ] }, { - "group": "Utility", + "group": "Meshy", "pages": [ - "ja/tutorials/utility/preprocessors", - "ja/tutorials/utility/frame-interpolation", - "ja/tutorials/utility/image-upscale", - "ja/tutorials/utility/video-upscale", - "ja/tutorials/utility/void-video-inpainting", - "ja/tutorials/utility/video-segment-sam3", - "ja/tutorials/utility/remove-background-birefnet", - "ja/tutorials/utility/moge", - { - "group": "顔検出", - "pages": [ - "ja/tutorials/utility/face-detection/mediapipe" - ] - } + "ja/tutorials/partner-nodes/meshy/meshy-6" ] - } - ] - }, - { - "group": "パートナーノード", - "icon": "handshake", - "pages": [ - "ja/tutorials/partner-nodes/overview", - "ja/tutorials/partner-nodes/faq", - "ja/tutorials/partner-nodes/pricing", - "ja/tutorials/partner-nodes/concurrency-limits", + }, { - "group": "Black Forest Labs", + "group": "Bria", "pages": [ - "ja/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", - "ja/tutorials/partner-nodes/black-forest-labs/flux-1-kontext" + "ja/tutorials/partner-nodes/bria/fibo" ] }, { - "group": "Beeble", + "group": "Reve", "pages": [ - "ja/tutorials/partner-nodes/beeble/beeble-switchx" + "ja/tutorials/partner-nodes/reve/reve-image" ] }, { - "group": "ByteDance", + "group": "Wan", "pages": [ - "ja/tutorials/partner-nodes/bytedance/seedance-2-0", - "ja/tutorials/partner-nodes/bytedance/seedance-2-0-real-human", - "ja/tutorials/partner-nodes/bytedance/seedream-5-lite" + "ja/tutorials/partner-nodes/wan/wan2-7" ] }, { - "group": "Google", + "group": "HappyHorse", "pages": [ - "ja/tutorials/partner-nodes/google/gemini", - "ja/tutorials/partner-nodes/google/nano-banana-pro", - "ja/tutorials/partner-nodes/google/nano-banana-2" + "ja/tutorials/partner-nodes/happyhorse/happyhorse1-0" ] }, { - "group": "Anthropic", + "group": "Sonilo", "pages": [ - "ja/tutorials/partner-nodes/anthropic/claude" + "ja/tutorials/partner-nodes/sonilo/video-to-music" ] }, { - "group": "Stability AI", - "pages": [ - "ja/tutorials/partner-nodes/stability-ai/stable-image-ultra", - "ja/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", - "ja/tutorials/partner-nodes/stability-ai/stable-audio" - ] - }, - { - "group": "Ideogram", - "pages": [ - "ja/tutorials/partner-nodes/ideogram/ideogram-v4", - "ja/tutorials/partner-nodes/ideogram/ideogram-v3" - ] - }, - { - "group": "Luma", - "pages": [ - "ja/tutorials/partner-nodes/luma/luma-uni-1", - "ja/tutorials/partner-nodes/luma/luma-text-to-image", - "ja/tutorials/partner-nodes/luma/luma-image-to-image", - "ja/tutorials/partner-nodes/luma/luma-text-to-video", - "ja/tutorials/partner-nodes/luma/luma-image-to-video" - ] - }, - { - "group": "Moonvalley", - "pages": [ - "ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation" - ] - }, - { - "group": "OpenAI", - "pages": [ - "ja/tutorials/partner-nodes/openai/gpt-image-2", - "ja/tutorials/partner-nodes/openai/gpt-image-1", - "ja/tutorials/partner-nodes/openai/dall-e-2", - "ja/tutorials/partner-nodes/openai/dall-e-3", - "ja/tutorials/partner-nodes/openai/chat" - ] - }, - { - "group": "OpenRouter", - "pages": [ - "ja/tutorials/partner-nodes/openrouter/llm" - ] - }, - { - "group": "Recraft", - "pages": [ - "ja/tutorials/partner-nodes/recraft/recraft-v4", - "ja/tutorials/partner-nodes/recraft/recraft-text-to-image" - ] - }, - { - "group": "Kling", - "pages": [ - "ja/tutorials/partner-nodes/kling/kling-3-0", - "ja/tutorials/partner-nodes/kling/kling-motion-control" - ] - }, - { - "group": "Runway", - "pages": [ - "ja/tutorials/partner-nodes/runway/image-generation", - "ja/tutorials/partner-nodes/runway/video-generation" - ] - }, - { - "group": "Rodin", - "pages": [ - "ja/tutorials/partner-nodes/rodin/model-generation" - ] - }, - { - "group": "Tripo", - "pages": [ - "ja/tutorials/partner-nodes/tripo/model-generation", - "ja/tutorials/partner-nodes/tripo/tripo-3-1" - ] - }, - { - "group": "Hunyuan 3D", - "pages": [ - "ja/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" - ] - }, - { - "group": "Meshy", - "pages": [ - "ja/tutorials/partner-nodes/meshy/meshy-6" - ] - }, - { - "group": "Bria", - "pages": [ - "ja/tutorials/partner-nodes/bria/fibo" - ] - }, - { - "group": "Reve", - "pages": [ - "ja/tutorials/partner-nodes/reve/reve-image" - ] - }, - { - "group": "Wan", - "pages": [ - "ja/tutorials/partner-nodes/wan/wan2-7" - ] - }, - { - "group": "HappyHorse", - "pages": [ - "ja/tutorials/partner-nodes/happyhorse/happyhorse1-0" - ] - }, - { - "group": "Sonilo", - "pages": [ - "ja/tutorials/partner-nodes/sonilo/video-to-music" - ] - }, - { - "group": "Topaz", + "group": "Topaz", "pages": [ "ja/tutorials/partner-nodes/topaz/astra-2" ] @@ -5498,64 +5615,36 @@ "group": "3D", "pages": [ { - "group": "Partner", + "group": "コンディショニング", "pages": [ - { - "group": "Meshy", - "pages": [ - "ja/built-in-nodes/MeshyAnimateModelNode", - "ja/built-in-nodes/MeshyImageToModelNode", - "ja/built-in-nodes/MeshyMultiImageToModelNode", - "ja/built-in-nodes/MeshyRefineNode", - "ja/built-in-nodes/MeshyRigModelNode", - "ja/built-in-nodes/MeshyTextToModelNode", - "ja/built-in-nodes/MeshyTextureNode" - ] - }, - { - "group": "Rodin", - "pages": [ - "ja/built-in-nodes/Rodin3D_Detail", - "ja/built-in-nodes/Rodin3D_Gen2", - "ja/built-in-nodes/Rodin3D_Gen25_Image", - "ja/built-in-nodes/Rodin3D_Gen25_Text", - "ja/built-in-nodes/Rodin3D_Regular", - "ja/built-in-nodes/Rodin3D_Sketch", - "ja/built-in-nodes/Rodin3D_Smooth" - ] - }, - { - "group": "Tencent", - "pages": [ - "ja/built-in-nodes/Tencent3DPartNode", - "ja/built-in-nodes/Tencent3DTextureEditNode", - "ja/built-in-nodes/TencentImageToModelNode", - "ja/built-in-nodes/TencentModelTo3DUVNode", - "ja/built-in-nodes/TencentSmartTopologyNode", - "ja/built-in-nodes/TencentTextToModelNode" - ] - }, - { - "group": "Tripo", - "pages": [ - "ja/built-in-nodes/TripoConversionNode", - "ja/built-in-nodes/TripoImageToModelNode", - "ja/built-in-nodes/TripoMultiviewToModelNode", - "ja/built-in-nodes/TripoP1ImageToModelNode", - "ja/built-in-nodes/TripoP1MultiviewToModelNode", - "ja/built-in-nodes/TripoP1TextToModelNode", - "ja/built-in-nodes/TripoRefineNode", - "ja/built-in-nodes/TripoRetargetNode", - "ja/built-in-nodes/TripoRigNode", - "ja/built-in-nodes/TripoTextToModelNode", - "ja/built-in-nodes/TripoTextureNode" - ] - } + "ja/built-in-nodes/TripoSplatConditioning", + "ja/built-in-nodes/TripoSplatPreprocessImage" + ] + }, + { + "group": "潜在", + "pages": [ + "ja/built-in-nodes/TripoSplatSamplingPreview", + "ja/built-in-nodes/VAEDecodeTripoSplat" ] }, + { + "group": "Splat", + "pages": [ + "ja/built-in-nodes/File3DToSplat", + "ja/built-in-nodes/GetSplatCount", + "ja/built-in-nodes/MergeSplat", + "ja/built-in-nodes/RenderSplat", + "ja/built-in-nodes/SplatToFile3D", + "ja/built-in-nodes/SplatToMesh", + "ja/built-in-nodes/TransformSplat" + ] + }, + "ja/built-in-nodes/CreateCameraInfo", "ja/built-in-nodes/Load3D", "ja/built-in-nodes/Load3DAnimation", "ja/built-in-nodes/Preview3D", + "ja/built-in-nodes/Preview3DAdvanced", "ja/built-in-nodes/Preview3DAnimation", "ja/built-in-nodes/SaveGLB", "ja/built-in-nodes/VoxelToMesh", @@ -5563,88 +5652,254 @@ ] }, { - "group": "API Node", + "group": "詳細", "pages": [ { - "group": "Image", + "group": "コンディショニング", "pages": [ { - "group": "Bfl", + "group": "オーディオ", "pages": [ - "ja/built-in-nodes/FluxProCannyNode", - "ja/built-in-nodes/FluxProDepthNode", - "ja/built-in-nodes/FluxProImageNode" + "ja/built-in-nodes/ReferenceTimbreAudio" ] }, { - "group": "Bytedance", + "group": "モデル編集", "pages": [ - "ja/built-in-nodes/ByteDanceImageEditNode" + "ja/built-in-nodes/ReferenceLatent" + ] + }, + { + "group": "Flux", + "pages": [ + "ja/built-in-nodes/ClipTextEncodeFlux", + "ja/built-in-nodes/FluxDisableGuidance", + "ja/built-in-nodes/FluxGuidance", + "ja/built-in-nodes/FluxKontextImageScale", + "ja/built-in-nodes/FluxKontextMultiReferenceLatentMethod" + ] + }, + { + "group": "Kandinsky5", + "pages": [ + "ja/built-in-nodes/CLIPTextEncodeKandinsky5" + ] + }, + "ja/built-in-nodes/CLIPTextEncodeHiDream", + "ja/built-in-nodes/ClipTextEncodeHunyuanDit", + "ja/built-in-nodes/CLIPTextEncodePixArtAlpha", + "ja/built-in-nodes/CLIPTextEncodeSD3", + "ja/built-in-nodes/ClipTextEncodeSdxl", + "ja/built-in-nodes/ClipTextEncodeSdxlRefiner", + "ja/built-in-nodes/ConditioningSetTimestepRange", + "ja/built-in-nodes/ConditioningZeroOut", + "ja/built-in-nodes/PiDConditioning", + "ja/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo", + "ja/built-in-nodes/TextEncodeQwenImageEdit", + "ja/built-in-nodes/TextEncodeQwenImageEditPlus", + "ja/built-in-nodes/TextEncodeZImageOmni" + ] + }, + { + "group": "デバッグ", + "pages": [ + { + "group": "モデル", + "pages": [ + "ja/built-in-nodes/EasyCache", + "ja/built-in-nodes/LazyCache", + "ja/built-in-nodes/ModelComputeDtype" ] } ] }, { - "group": "Video", + "group": "ガイダンス", + "pages": [ + "ja/built-in-nodes/CFGNorm", + "ja/built-in-nodes/CFGZeroStar", + "ja/built-in-nodes/NAGuidance", + "ja/built-in-nodes/SkipLayerGuidanceDiT", + "ja/built-in-nodes/SkipLayerGuidanceDiTSimple", + "ja/built-in-nodes/SkipLayerGuidanceSD3", + "ja/built-in-nodes/TCFG" + ] + }, + { + "group": "フック", "pages": [ { - "group": "Google", + "group": "CLIP", "pages": [ - "ja/built-in-nodes/partner-node/video/google/google-veo2-video" + "ja/built-in-nodes/SetClipHooks" ] }, { - "group": "Kling", + "group": "結合", "pages": [ - "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v", - "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v", - "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-controls", - "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video", - "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video", - "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video" + "ja/built-in-nodes/CombineHooks", + "ja/built-in-nodes/CombineHooksEight", + "ja/built-in-nodes/CombineHooksFour" ] }, { - "group": "Luma", + "group": "Cond Pair", "pages": [ - "ja/built-in-nodes/partner-node/video/luma/luma-concepts", - "ja/built-in-nodes/partner-node/video/luma/luma-image-to-video", - "ja/built-in-nodes/partner-node/video/luma/luma-text-to-video" + "ja/built-in-nodes/PairConditioningCombine", + "ja/built-in-nodes/PairConditioningSetDefaultAndCombine", + "ja/built-in-nodes/PairConditioningSetProperties", + "ja/built-in-nodes/PairConditioningSetPropertiesAndCombine" ] }, { - "group": "MiniMax", + "group": "Cond Single", "pages": [ - "ja/built-in-nodes/partner-node/video/minimax/minimax-image-to-video", - "ja/built-in-nodes/partner-node/video/minimax/minimax-text-to-video" + "ja/built-in-nodes/ConditioningSetDefaultAndCombine", + "ja/built-in-nodes/ConditioningSetProperties", + "ja/built-in-nodes/ConditioningSetPropertiesAndCombine" ] }, { - "group": "Pika", + "group": "作成", "pages": [ - "ja/built-in-nodes/partner-node/video/pika/pika-image-to-video", - "ja/built-in-nodes/partner-node/video/pika/pika-scenes", - "ja/built-in-nodes/partner-node/video/pika/pika-text-to-video", - "ja/built-in-nodes/Pikadditions", - "ja/built-in-nodes/Pikaffects", - "ja/built-in-nodes/PikaImageToVideoNode2_2", - "ja/built-in-nodes/PikaScenesV2_2", - "ja/built-in-nodes/PikaStartEndFrameNode2_2", - "ja/built-in-nodes/Pikaswaps", - "ja/built-in-nodes/PikaTextToVideoNode2_2" + "ja/built-in-nodes/CreateHookLora", + "ja/built-in-nodes/CreateHookLoraModelOnly", + "ja/built-in-nodes/CreateHookModelAsLora", + "ja/built-in-nodes/CreateHookModelAsLoraModelOnly" ] }, { - "group": "PixVerse", + "group": "マニュアル", "pages": [ - "ja/built-in-nodes/partner-node/video/pixverse/pixverse-image-to-video", - "ja/built-in-nodes/partner-node/video/pixverse/pixverse-template", - "ja/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video", - "ja/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video" + "ja/built-in-nodes/SetModelHooksOnCond" ] - } + }, + { + "group": "スケジューリング", + "pages": [ + "ja/built-in-nodes/CreateHookKeyframe", + "ja/built-in-nodes/CreateHookKeyframesFromFloats", + "ja/built-in-nodes/CreateHookKeyframesInterpolated", + "ja/built-in-nodes/SetHookKeyframes" + ] + }, + "ja/built-in-nodes/ConditioningTimestepsRange" + ] + }, + { + "group": "ローダー", + "pages": [ + { + "group": "非推奨", + "pages": [ + "ja/built-in-nodes/DiffusersLoader" + ] + }, + { + "group": "Qwen", + "pages": [ + "ja/built-in-nodes/QwenImageDiffsynthControlnet" + ] + }, + { + "group": "Zimage", + "pages": [ + "ja/built-in-nodes/ZImageFunControlnet" + ] + }, + "ja/built-in-nodes/CheckpointLoader", + "ja/built-in-nodes/ClipLoader", + "ja/built-in-nodes/DeprecatedCheckpointLoader", + "ja/built-in-nodes/DeprecatedDiffusersLoader", + "ja/built-in-nodes/DualCLIPLoader", + "ja/built-in-nodes/LTXAVTextEncoderLoader", + "ja/built-in-nodes/ModelPatchLoader", + "ja/built-in-nodes/QuadrupleCLIPLoader", + "ja/built-in-nodes/TripleCLIPLoader", + "ja/built-in-nodes/UNETLoader" + ] + }, + { + "group": "モデル", + "pages": [ + "ja/built-in-nodes/HiDreamO1PatchSeamSmoothing", + "ja/built-in-nodes/ModelNoiseScale", + "ja/built-in-nodes/ModelSamplingAuraFlow", + "ja/built-in-nodes/ModelSamplingContinuousEDM", + "ja/built-in-nodes/ModelSamplingContinuousV", + "ja/built-in-nodes/ModelSamplingDiscrete", + "ja/built-in-nodes/ModelSamplingFlux", + "ja/built-in-nodes/ModelSamplingLTXV", + "ja/built-in-nodes/ModelSamplingSD3", + "ja/built-in-nodes/ModelSamplingStableCascade", + "ja/built-in-nodes/RenormCFG", + "ja/built-in-nodes/RescaleCFG" + ] + }, + { + "group": "モデルマージ", + "pages": [ + { + "group": "モデル固有", + "pages": [ + "ja/built-in-nodes/ModelMergeAuraflow", + "ja/built-in-nodes/ModelMergeCosmos14B", + "ja/built-in-nodes/ModelMergeCosmos7B", + "ja/built-in-nodes/ModelMergeCosmosPredict2_14B", + "ja/built-in-nodes/ModelMergeCosmosPredict2_2B", + "ja/built-in-nodes/ModelMergeFlux1", + "ja/built-in-nodes/ModelMergeLTXV", + "ja/built-in-nodes/ModelMergeMochiPreview", + "ja/built-in-nodes/ModelMergeQwenImage", + "ja/built-in-nodes/ModelMergeSD1", + "ja/built-in-nodes/ModelMergeSD35_Large", + "ja/built-in-nodes/ModelMergeSD3_2B", + "ja/built-in-nodes/ModelMergeSDXL", + "ja/built-in-nodes/ModelMergeWAN2_1" + ] + }, + "ja/built-in-nodes/CheckpointSave", + "ja/built-in-nodes/CLIPMergeAdd", + "ja/built-in-nodes/ClipMergeSimple", + "ja/built-in-nodes/CLIPMergeSubtract", + "ja/built-in-nodes/ClipSave", + "ja/built-in-nodes/ImageOnlyCheckpointSave", + "ja/built-in-nodes/ModelMergeAdd", + "ja/built-in-nodes/ModelMergeBlocks", + "ja/built-in-nodes/ModelMergeSimple", + "ja/built-in-nodes/ModelMergeSubtract", + "ja/built-in-nodes/ModelSave", + "ja/built-in-nodes/SaveLoRA", + "ja/built-in-nodes/SaveLoRANode", + "ja/built-in-nodes/VAESave" + ] + }, + { + "group": "マルチGPU", + "pages": [ + "ja/built-in-nodes/MultiGPU_Options", + "ja/built-in-nodes/MultiGPU_WorkUnits", + "ja/built-in-nodes/SelectCLIPDevice", + "ja/built-in-nodes/SelectModelDevice", + "ja/built-in-nodes/SelectVAEDevice" ] }, + "ja/built-in-nodes/GeminiNodeV2", + "ja/built-in-nodes/MoonvalleyImg2VideoNode", + "ja/built-in-nodes/MoonvalleyTxt2VideoNode", + "ja/built-in-nodes/MoonvalleyVideo2VideoNode", + "ja/built-in-nodes/PreviewGaussianSplat", + "ja/built-in-nodes/PreviewPointCloud", + "ja/built-in-nodes/SaveAudioAdvanced", + "ja/built-in-nodes/SeedVR2Conditioning", + "ja/built-in-nodes/SeedVR2PostProcessing", + "ja/built-in-nodes/SeedVR2Preprocess", + "ja/built-in-nodes/SeedVR2ProgressiveSampler" + ] + }, + { + "group": "API Node", + "pages": [ { "group": "画像", "pages": [ @@ -5654,6 +5909,20 @@ "ja/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image" ] }, + { + "group": "Bfl", + "pages": [ + "ja/built-in-nodes/FluxProCannyNode", + "ja/built-in-nodes/FluxProDepthNode", + "ja/built-in-nodes/FluxProImageNode" + ] + }, + { + "group": "Bytedance", + "pages": [ + "ja/built-in-nodes/ByteDanceImageEditNode" + ] + }, { "group": "Ideogram", "pages": [ @@ -5706,45 +5975,73 @@ ] } ] - } - ] - }, - { - "group": "Audio", - "pages": [ + }, { - "group": "Partner", + "group": "ビデオ", "pages": [ { - "group": "Elevenlabs", + "group": "Google", "pages": [ - "ja/built-in-nodes/ElevenLabsAudioIsolation", - "ja/built-in-nodes/ElevenLabsInstantVoiceClone", - "ja/built-in-nodes/ElevenLabsSpeechToSpeech", - "ja/built-in-nodes/ElevenLabsSpeechToText", - "ja/built-in-nodes/ElevenLabsTextToDialogue", - "ja/built-in-nodes/ElevenLabsTextToSoundEffects", - "ja/built-in-nodes/ElevenLabsTextToSpeech", - "ja/built-in-nodes/ElevenLabsVoiceSelector" + "ja/built-in-nodes/partner-node/video/google/google-veo2-video" ] }, { - "group": "Sonilo", + "group": "Kling", "pages": [ - "ja/built-in-nodes/SoniloTextToMusic", - "ja/built-in-nodes/SoniloVideoToMusic" + "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v", + "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v", + "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-controls", + "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video", + "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video", + "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video" ] }, { - "group": "Stability Ai", + "group": "Luma", "pages": [ - "ja/built-in-nodes/StabilityAudioInpaint", - "ja/built-in-nodes/StabilityAudioToAudio", - "ja/built-in-nodes/StabilityTextToAudio" + "ja/built-in-nodes/partner-node/video/luma/luma-concepts", + "ja/built-in-nodes/partner-node/video/luma/luma-image-to-video", + "ja/built-in-nodes/partner-node/video/luma/luma-text-to-video" + ] + }, + { + "group": "MiniMax", + "pages": [ + "ja/built-in-nodes/partner-node/video/minimax/minimax-image-to-video", + "ja/built-in-nodes/partner-node/video/minimax/minimax-text-to-video" + ] + }, + { + "group": "Pika", + "pages": [ + "ja/built-in-nodes/partner-node/video/pika/pika-image-to-video", + "ja/built-in-nodes/partner-node/video/pika/pika-scenes", + "ja/built-in-nodes/partner-node/video/pika/pika-text-to-video", + "ja/built-in-nodes/Pikadditions", + "ja/built-in-nodes/Pikaffects", + "ja/built-in-nodes/PikaImageToVideoNode2_2", + "ja/built-in-nodes/PikaScenesV2_2", + "ja/built-in-nodes/PikaStartEndFrameNode2_2", + "ja/built-in-nodes/Pikaswaps", + "ja/built-in-nodes/PikaTextToVideoNode2_2" + ] + }, + { + "group": "PixVerse", + "pages": [ + "ja/built-in-nodes/partner-node/video/pixverse/pixverse-image-to-video", + "ja/built-in-nodes/partner-node/video/pixverse/pixverse-template", + "ja/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video", + "ja/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video" ] } ] - }, + } + ] + }, + { + "group": "オーディオ", + "pages": [ "ja/built-in-nodes/AudioAdjustVolume", "ja/built-in-nodes/AudioConcat", "ja/built-in-nodes/AudioEqualizer3Band", @@ -5762,10 +6059,27 @@ ] }, { - "group": "Experimental", + "group": "コンディショニング", "pages": [ { - "group": "Attention Experiments", + "group": "ビデオモデル", + "pages": [ + "ja/built-in-nodes/conditioning/video-models/wan-vace-to-video", + "ja/built-in-nodes/Stablezero123Conditioning", + "ja/built-in-nodes/Stablezero123ConditioningBatched", + "ja/built-in-nodes/SVD_img2vid_Conditioning", + "ja/built-in-nodes/SvdImg2vidConditioning" + ] + }, + "ja/built-in-nodes/ConditioningAverage", + "ja/built-in-nodes/Sd4xupscaleConditioning" + ] + }, + { + "group": "実験的", + "pages": [ + { + "group": "Attention 実験", "pages": [ "ja/built-in-nodes/CLIPAttentionMultiply", "ja/built-in-nodes/UNetCrossAttentionMultiply", @@ -5774,17 +6088,17 @@ ] }, { - "group": "Conditioning", + "group": "コンディショニング", "pages": [ "ja/built-in-nodes/CLIPTextEncodeControlnet", "ja/built-in-nodes/T5TokenizerOptions" ] }, { - "group": "Custom Sampling", + "group": "カスタムサンプリング", "pages": [ { - "group": "Noise", + "group": "ノイズ", "pages": [ "ja/built-in-nodes/AddNoise" ] @@ -5793,7 +6107,7 @@ ] }, { - "group": "Photomaker", + "group": "PhotoMaker", "pages": [ "ja/built-in-nodes/PhotoMakerEncode", "ja/built-in-nodes/PhotoMakerLoader" @@ -5823,10 +6137,202 @@ ] }, { - "group": "Model", + "group": "画像", "pages": [ { - "group": "Conditioning", + "group": "調整", + "pages": [ + "ja/built-in-nodes/AdjustBrightness", + "ja/built-in-nodes/AdjustContrast" + ] + }, + { + "group": "背景除去", + "pages": [ + "ja/built-in-nodes/RemoveBackground" + ] + }, + { + "group": "バッチ", + "pages": [ + "ja/built-in-nodes/ImageDeduplication", + "ja/built-in-nodes/ImageFromBatch", + "ja/built-in-nodes/ImageGrid", + "ja/built-in-nodes/ImageMergeTileList", + "ja/built-in-nodes/MergeImageLists", + "ja/built-in-nodes/RebatchImages", + "ja/built-in-nodes/RepeatImageBatch", + "ja/built-in-nodes/ShuffleDataset", + "ja/built-in-nodes/ShuffleImageTextDataset", + "ja/built-in-nodes/SplitImageToTileList" + ] + }, + { + "group": "カラー", + "pages": [ + "ja/built-in-nodes/ImageRGBToYUV", + "ja/built-in-nodes/ImageYUVToRGB", + "ja/built-in-nodes/NormalizeImages" + ] + }, + { + "group": "合成", + "pages": [ + "ja/built-in-nodes/ImageCompositeMasked", + "ja/built-in-nodes/JoinImageWithAlpha", + "ja/built-in-nodes/PorterDuffImageComposite", + "ja/built-in-nodes/SplitImageWithAlpha" + ] + }, + { + "group": "検出", + "pages": [ + "ja/built-in-nodes/DrawBBoxes", + "ja/built-in-nodes/MediaPipeFaceLandmarker", + "ja/built-in-nodes/MediaPipeFaceMask", + "ja/built-in-nodes/MediaPipeFaceMeshVisualize", + "ja/built-in-nodes/RTDETR_detect", + "ja/built-in-nodes/SAM3_Detect", + "ja/built-in-nodes/SAM3_TrackPreview", + "ja/built-in-nodes/SAM3_TrackToMask", + "ja/built-in-nodes/SAM3_VideoTrack", + "ja/built-in-nodes/SDPoseDrawKeypoints", + "ja/built-in-nodes/SDPoseFaceBBoxes", + "ja/built-in-nodes/SDPoseKeypointExtractor" + ] + }, + { + "group": "フィルター", + "pages": [ + "ja/built-in-nodes/Canny", + "ja/built-in-nodes/ColorTransfer", + "ja/built-in-nodes/ImageAddNoise", + "ja/built-in-nodes/ImageBlend", + "ja/built-in-nodes/ImageBlur", + "ja/built-in-nodes/ImageQuantize", + "ja/built-in-nodes/ImageSharpen", + "ja/built-in-nodes/Morphology" + ] + }, + { + "group": "ジオメトリ推定", + "pages": [ + "ja/built-in-nodes/MoGeInference", + "ja/built-in-nodes/MoGePanoramaInference", + "ja/built-in-nodes/MoGePointMapToMesh", + "ja/built-in-nodes/MoGeRender" + ] + }, + { + "group": "マスク", + "pages": [ + "ja/built-in-nodes/BatchMasksNode", + "ja/built-in-nodes/CropMask", + "ja/built-in-nodes/FeatherMask", + "ja/built-in-nodes/GrowMask", + "ja/built-in-nodes/ImageColorToMask", + "ja/built-in-nodes/ImageToMask", + "ja/built-in-nodes/InvertMask", + "ja/built-in-nodes/MaskComposite", + "ja/built-in-nodes/MaskPreview", + "ja/built-in-nodes/MaskToImage", + "ja/built-in-nodes/SolidMask", + "ja/built-in-nodes/ThresholdMask", + "ja/built-in-nodes/VOIDQuadmaskPreprocess" + ] + }, + { + "group": "シェーダー", + "pages": [ + "ja/built-in-nodes/GLSLShader" + ] + }, + { + "group": "変換", + "pages": [ + "ja/built-in-nodes/CenterCropImages", + "ja/built-in-nodes/CropByBBoxes", + "ja/built-in-nodes/ImageCrop", + "ja/built-in-nodes/ImageCropV2", + "ja/built-in-nodes/ImageFlip", + "ja/built-in-nodes/ImagePadForOutpaint", + "ja/built-in-nodes/ImageRotate", + "ja/built-in-nodes/ImageStitch", + "ja/built-in-nodes/RandomCropImages", + "ja/built-in-nodes/ResizeAndPadImage", + "ja/built-in-nodes/ResizeImagesByLongerEdge", + "ja/built-in-nodes/ResizeImagesByShorterEdge" + ] + }, + { + "group": "アップスケーリング", + "pages": [ + "ja/built-in-nodes/ImageScale", + "ja/built-in-nodes/ImageScaleBy", + "ja/built-in-nodes/ImageScaleToMaxDimension", + "ja/built-in-nodes/ImageScaleToTotalPixels", + "ja/built-in-nodes/ImageUpscaleWithModel" + ] + }, + { + "group": "ビデオ", + "pages": [ + "ja/built-in-nodes/WanDancerPadKeyframes", + "ja/built-in-nodes/WanDancerPadKeyframesList" + ] + }, + "ja/built-in-nodes/BatchImagesNode", + "ja/built-in-nodes/ConditioningCombine", + "ja/built-in-nodes/EmptyImage", + "ja/built-in-nodes/GetImageSize", + "ja/built-in-nodes/ImageBatch", + "ja/built-in-nodes/ImageCompare", + "ja/built-in-nodes/ImageInvert", + "ja/built-in-nodes/LoadImage", + "ja/built-in-nodes/LoadImageDataSetFromFolder", + "ja/built-in-nodes/LoadImageMask", + "ja/built-in-nodes/LoadImageOutput", + "ja/built-in-nodes/LoadImageSetFromFolderNode", + "ja/built-in-nodes/LoadImageSetNode", + "ja/built-in-nodes/LoadImageTextDataSetFromFolder", + "ja/built-in-nodes/LoadImageTextSetFromFolderNode", + "ja/built-in-nodes/LoraLoader", + "ja/built-in-nodes/LoraLoaderModelOnly", + "ja/built-in-nodes/Painter", + "ja/built-in-nodes/PreviewImage", + "ja/built-in-nodes/ResizeImageMaskNode", + "ja/built-in-nodes/SaveAnimatedPNG", + "ja/built-in-nodes/SaveAnimatedWEBP", + "ja/built-in-nodes/SaveImage", + "ja/built-in-nodes/SaveImageAdvanced", + "ja/built-in-nodes/SaveImageDataSetToFolder", + "ja/built-in-nodes/SaveImageTextDataSetToFolder", + "ja/built-in-nodes/SaveSVGNode", + "ja/built-in-nodes/WebcamCapture" + ] + }, + { + "group": "潜在", + "pages": [ + { + "group": "ビデオ", + "pages": [ + "ja/built-in-nodes/latent/video/trim-video-latent" + ] + } + ] + }, + { + "group": "ローダー", + "pages": [ + "ja/built-in-nodes/ControlNetLoader" + ] + }, + { + "group": "モデル", + "pages": [ + { + "group": "コンディショニング", "pages": [ { "group": "3D Models", @@ -5839,13 +6345,13 @@ ] }, { - "group": "Audio", + "group": "オーディオ", "pages": [ "ja/built-in-nodes/LTXVReferenceAudio" ] }, { - "group": "Controlnet", + "group": "ControlNet", "pages": [ "ja/built-in-nodes/ControlNetApply", "ja/built-in-nodes/ControlNetApplyAdvanced", @@ -5855,19 +6361,19 @@ ] }, { - "group": "Gligen", + "group": "GLIGEN", "pages": [ "ja/built-in-nodes/GLIGENTextBoxApply" ] }, { - "group": "Image", + "group": "画像", "pages": [ "ja/built-in-nodes/HiDreamO1ReferenceImages" ] }, { - "group": "Inpaint", + "group": "インペイント", "pages": [ "ja/built-in-nodes/CosmosImageToVideoLatent", "ja/built-in-nodes/CosmosPredict2ImageToVideoLatent", @@ -5876,7 +6382,7 @@ ] }, { - "group": "Instructpix2Pix", + "group": "InstructPix2Pix", "pages": [ "ja/built-in-nodes/InstructPixToPixConditioning" ] @@ -5894,7 +6400,7 @@ ] }, { - "group": "Style Model", + "group": "スタイルモデル", "pages": [ "ja/built-in-nodes/StyleModelApply" ] @@ -5906,7 +6412,7 @@ ] }, { - "group": "Video Models", + "group": "ビデオモデル", "pages": [ "ja/built-in-nodes/ARVideoI2V", "ja/built-in-nodes/GenerateTracks", @@ -5965,7 +6471,7 @@ ] }, { - "group": "Latent", + "group": "潜在", "pages": [ { "group": "3D", @@ -5975,10 +6481,10 @@ ] }, { - "group": "Advanced", + "group": "詳細", "pages": [ { - "group": "Operations", + "group": "操作", "pages": [ "ja/built-in-nodes/LatentApplyOperation", "ja/built-in-nodes/LatentApplyOperationCFG", @@ -5997,7 +6503,7 @@ ] }, { - "group": "Audio", + "group": "オーディオ", "pages": [ "ja/built-in-nodes/EmptyAceStep1.5LatentAudio", "ja/built-in-nodes/EmptyAceStepLatentAudio", @@ -6011,7 +6517,7 @@ ] }, { - "group": "Batch", + "group": "バッチ", "pages": [ "ja/built-in-nodes/LatentBatch", "ja/built-in-nodes/LatentFromBatch", @@ -6027,13 +6533,13 @@ ] }, { - "group": "Image", + "group": "画像", "pages": [ "ja/built-in-nodes/EmptyHiDreamO1LatentImage" ] }, { - "group": "Inpaint", + "group": "インペイント", "pages": [ "ja/built-in-nodes/SetLatentNoiseMask", "ja/built-in-nodes/VAEEncodeForInpaint" @@ -6046,7 +6552,7 @@ ] }, { - "group": "Sd3", + "group": "SD3", "pages": [ "ja/built-in-nodes/EmptySD3LatentImage" ] @@ -6059,7 +6565,7 @@ ] }, { - "group": "Transform", + "group": "変換", "pages": [ "ja/built-in-nodes/LatentCrop", "ja/built-in-nodes/LatentFlip", @@ -6067,10 +6573,10 @@ ] }, { - "group": "Video", + "group": "ビデオ", "pages": [ { - "group": "Ltxv", + "group": "LTXV", "pages": [ "ja/built-in-nodes/EmptyLTXVLatentVideo", "ja/built-in-nodes/LTXVConcatAVLatent", @@ -6101,7 +6607,7 @@ ] }, { - "group": "Loaders", + "group": "ローダー", "pages": [ "ja/built-in-nodes/AudioEncoderLoader", "ja/built-in-nodes/CheckpointLoaderSimple", @@ -6127,7 +6633,7 @@ ] }, { - "group": "Patch", + "group": "パッチ", "pages": [ { "group": "Chroma Radiance", @@ -6142,13 +6648,13 @@ ] }, { - "group": "Supir", + "group": "SUPIR", "pages": [ "ja/built-in-nodes/SUPIRApply" ] }, { - "group": "Unet", + "group": "UNet", "pages": [ "ja/built-in-nodes/Epsilon Scaling", "ja/built-in-nodes/FreeU", @@ -6166,1059 +6672,3210 @@ ] }, { - "group": "Sampling", + "group": "サンプリング", + "pages": [ + { + "group": "カスタムサンプリング", + "pages": [ + "ja/built-in-nodes/APG", + "ja/built-in-nodes/SamplerCustom", + "ja/built-in-nodes/SamplerCustomAdvanced" + ] + }, + { + "group": "Guiders", + "pages": [ + "ja/built-in-nodes/BasicGuider", + "ja/built-in-nodes/CFGGuider", + "ja/built-in-nodes/DualCFGGuider", + "ja/built-in-nodes/DualModelGuider", + "ja/built-in-nodes/VideoLinearCFGGuidance", + "ja/built-in-nodes/VideoTriangleCFGGuidance" + ] + }, + { + "group": "ノイズ", + "pages": [ + "ja/built-in-nodes/DisableNoise", + "ja/built-in-nodes/RandomNoise", + "ja/built-in-nodes/VOIDWarpedNoiseSource" + ] + }, + { + "group": "サンプラー", + "pages": [ + "ja/built-in-nodes/KSamplerSelect", + "ja/built-in-nodes/SamplerARVideo", + "ja/built-in-nodes/SamplerDPMAdaptative", + "ja/built-in-nodes/SamplerDPMPP_2M_SDE", + "ja/built-in-nodes/SamplerDPMPP_2S_Ancestral", + "ja/built-in-nodes/SamplerDPMPP_3M_SDE", + "ja/built-in-nodes/SamplerDPMPP_SDE", + "ja/built-in-nodes/SamplerER_SDE", + "ja/built-in-nodes/SamplerEulerAncestral", + "ja/built-in-nodes/SamplerEulerAncestralCFGPP", + "ja/built-in-nodes/SamplerLCM", + "ja/built-in-nodes/SamplerLCMUpscale", + "ja/built-in-nodes/SamplerLMS", + "ja/built-in-nodes/SamplerSASolver", + "ja/built-in-nodes/SamplerSEEDS2", + "ja/built-in-nodes/VOIDSampler" + ] + }, + { + "group": "スケジューラー", + "pages": [ + "ja/built-in-nodes/AlignYourStepsScheduler", + "ja/built-in-nodes/BasicScheduler", + "ja/built-in-nodes/BetaSamplingScheduler", + "ja/built-in-nodes/ExponentialScheduler", + "ja/built-in-nodes/Flux2Scheduler", + "ja/built-in-nodes/GITSScheduler", + "ja/built-in-nodes/KarrasScheduler", + "ja/built-in-nodes/LaplaceScheduler", + "ja/built-in-nodes/LTXVScheduler", + "ja/built-in-nodes/OptimalStepsScheduler", + "ja/built-in-nodes/PolyexponentialScheduler", + "ja/built-in-nodes/SDTurboScheduler", + "ja/built-in-nodes/VPScheduler" + ] + }, + { + "group": "シグマ", + "pages": [ + "ja/built-in-nodes/ExtendIntermediateSigmas", + "ja/built-in-nodes/FlipSigmas", + "ja/built-in-nodes/SamplingPercentToSigma", + "ja/built-in-nodes/SetFirstSigma", + "ja/built-in-nodes/SplitSigmas", + "ja/built-in-nodes/SplitSigmasDenoise" + ] + }, + "ja/built-in-nodes/KSampler", + "ja/built-in-nodes/KSamplerAdvanced" + ] + }, + { + "group": "トレーニング", + "pages": [ + "ja/built-in-nodes/LoadTrainingDataset", + "ja/built-in-nodes/LossGraphNode", + "ja/built-in-nodes/MakeTrainingDataset", + "ja/built-in-nodes/ResolutionBucket", + "ja/built-in-nodes/SaveTrainingDataset", + "ja/built-in-nodes/TrainLoraNode" + ] + } + ] + }, + { + "group": "パートナー", + "pages": [ + { + "group": "3D", + "pages": [ + { + "group": "Meshy", + "pages": [ + "ja/built-in-nodes/MeshyAnimateModelNode", + "ja/built-in-nodes/MeshyImageToModelNode", + "ja/built-in-nodes/MeshyMultiImageToModelNode", + "ja/built-in-nodes/MeshyRefineNode", + "ja/built-in-nodes/MeshyRigModelNode", + "ja/built-in-nodes/MeshyTextToModelNode", + "ja/built-in-nodes/MeshyTextureNode" + ] + }, + { + "group": "Rodin", + "pages": [ + "ja/built-in-nodes/Rodin3D_Detail", + "ja/built-in-nodes/Rodin3D_Gen2", + "ja/built-in-nodes/Rodin3D_Gen25_Image", + "ja/built-in-nodes/Rodin3D_Gen25_Text", + "ja/built-in-nodes/Rodin3D_Regular", + "ja/built-in-nodes/Rodin3D_Sketch", + "ja/built-in-nodes/Rodin3D_Smooth" + ] + }, + { + "group": "Tencent", + "pages": [ + "ja/built-in-nodes/Tencent3DPartNode", + "ja/built-in-nodes/Tencent3DTextureEditNode", + "ja/built-in-nodes/TencentImageToModelNode", + "ja/built-in-nodes/TencentModelTo3DUVNode", + "ja/built-in-nodes/TencentSmartTopologyNode", + "ja/built-in-nodes/TencentTextToModelNode" + ] + }, + { + "group": "Tripo", + "pages": [ + "ja/built-in-nodes/TripoConversionNode", + "ja/built-in-nodes/TripoImageToModelNode", + "ja/built-in-nodes/TripoMultiviewToModelNode", + "ja/built-in-nodes/TripoP1ImageToModelNode", + "ja/built-in-nodes/TripoP1MultiviewToModelNode", + "ja/built-in-nodes/TripoP1TextToModelNode", + "ja/built-in-nodes/TripoRefineNode", + "ja/built-in-nodes/TripoRetargetNode", + "ja/built-in-nodes/TripoRigNode", + "ja/built-in-nodes/TripoTextToModelNode", + "ja/built-in-nodes/TripoTextureNode" + ] + } + ] + }, + { + "group": "オーディオ", + "pages": [ + { + "group": "Elevenlabs", + "pages": [ + "ja/built-in-nodes/ElevenLabsAudioIsolation", + "ja/built-in-nodes/ElevenLabsInstantVoiceClone", + "ja/built-in-nodes/ElevenLabsSpeechToSpeech", + "ja/built-in-nodes/ElevenLabsSpeechToText", + "ja/built-in-nodes/ElevenLabsTextToDialogue", + "ja/built-in-nodes/ElevenLabsTextToSoundEffects", + "ja/built-in-nodes/ElevenLabsTextToSpeech", + "ja/built-in-nodes/ElevenLabsVoiceSelector" + ] + }, + { + "group": "Sonilo", + "pages": [ + "ja/built-in-nodes/SoniloTextToMusic", + "ja/built-in-nodes/SoniloVideoToMusic" + ] + }, + { + "group": "Stability AI", + "pages": [ + "ja/built-in-nodes/StabilityAudioInpaint", + "ja/built-in-nodes/StabilityAudioToAudio", + "ja/built-in-nodes/StabilityTextToAudio" + ] + } + ] + }, + { + "group": "画像", + "pages": [ + { + "group": "Beeble", + "pages": [ + "ja/built-in-nodes/BeebleSwitchXImageEdit" + ] + }, + { + "group": "Bfl", + "pages": [ + "ja/built-in-nodes/Flux2ImageNode", + "ja/built-in-nodes/FluxEraseNode", + "ja/built-in-nodes/FluxProExpandNode", + "ja/built-in-nodes/FluxProFillNode", + "ja/built-in-nodes/FluxProUltraImageNode", + "ja/built-in-nodes/FluxVTONode" + ] + }, + { + "group": "Bria", + "pages": [ + "ja/built-in-nodes/BriaImageEditNode", + "ja/built-in-nodes/BriaRemoveImageBackground" + ] + }, + { + "group": "Bytedance", + "pages": [ + "ja/built-in-nodes/ByteDanceCreateImageAsset", + "ja/built-in-nodes/ByteDanceImageNode", + "ja/built-in-nodes/ByteDanceSeedreamNode", + "ja/built-in-nodes/ByteDanceSeedreamNodeV2" + ] + }, + { + "group": "Gemini", + "pages": [ + "ja/built-in-nodes/GeminiImage2Node", + "ja/built-in-nodes/GeminiImageNode", + "ja/built-in-nodes/GeminiNanoBanana2", + "ja/built-in-nodes/GeminiNanoBanana2V2" + ] + }, + { + "group": "Grok", + "pages": [ + "ja/built-in-nodes/GrokImageEditNode", + "ja/built-in-nodes/GrokImageEditNodeV2", + "ja/built-in-nodes/GrokImageNode" + ] + }, + { + "group": "HitPaw", + "pages": [ + "ja/built-in-nodes/HitPawGeneralImageEnhance" + ] + }, + { + "group": "Ideogram", + "pages": [ + "ja/built-in-nodes/IdeogramV1", + "ja/built-in-nodes/IdeogramV2", + "ja/built-in-nodes/IdeogramV3", + "ja/built-in-nodes/IdeogramV4" + ] + }, + { + "group": "Kling", + "pages": [ + "ja/built-in-nodes/KlingImageGenerationNode", + "ja/built-in-nodes/KlingOmniProImageNode", + "ja/built-in-nodes/KlingVirtualTryOnNode" + ] + }, + { + "group": "Krea", + "pages": [ + "ja/built-in-nodes/Krea2ImageNode", + "ja/built-in-nodes/Krea2StyleReferenceNode" + ] + }, + { + "group": "Luma", + "pages": [ + "ja/built-in-nodes/LumaImageEditNode2", + "ja/built-in-nodes/LumaImageModifyNode", + "ja/built-in-nodes/LumaImageNode", + "ja/built-in-nodes/LumaImageNode2", + "ja/built-in-nodes/LumaReferenceNode" + ] + }, + { + "group": "Magnific", + "pages": [ + "ja/built-in-nodes/MagnificImageRelightNode", + "ja/built-in-nodes/MagnificImageSkinEnhancerNode", + "ja/built-in-nodes/MagnificImageStyleTransferNode", + "ja/built-in-nodes/MagnificImageUpscalerCreativeNode", + "ja/built-in-nodes/MagnificImageUpscalerPreciseV2Node" + ] + }, + { + "group": "OpenAI", + "pages": [ + "ja/built-in-nodes/OpenAIDalle2", + "ja/built-in-nodes/OpenAIDalle3", + "ja/built-in-nodes/OpenAIGPTImage1", + "ja/built-in-nodes/OpenAIGPTImageNodeV2" + ] + }, + { + "group": "Quiver", + "pages": [ + "ja/built-in-nodes/QuiverImageToSVGNode", + "ja/built-in-nodes/QuiverTextToSVGNode" + ] + }, + { + "group": "Recraft", + "pages": [ + "ja/built-in-nodes/RecraftColorRGB", + "ja/built-in-nodes/RecraftControls", + "ja/built-in-nodes/RecraftCreateStyleNode", + "ja/built-in-nodes/RecraftCreativeUpscaleNode", + "ja/built-in-nodes/RecraftCrispUpscaleNode", + "ja/built-in-nodes/RecraftImageInpaintingNode", + "ja/built-in-nodes/RecraftImageToImageNode", + "ja/built-in-nodes/RecraftRemoveBackgroundNode", + "ja/built-in-nodes/RecraftReplaceBackgroundNode", + "ja/built-in-nodes/RecraftStyleV3DigitalIllustration", + "ja/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", + "ja/built-in-nodes/RecraftStyleV3LogoRaster", + "ja/built-in-nodes/RecraftStyleV3RealisticImage", + "ja/built-in-nodes/RecraftStyleV3VectorIllustrationNode", + "ja/built-in-nodes/RecraftTextToImageNode", + "ja/built-in-nodes/RecraftTextToVectorNode", + "ja/built-in-nodes/RecraftV4TextToImageNode", + "ja/built-in-nodes/RecraftV4TextToVectorNode", + "ja/built-in-nodes/RecraftVectorizeImageNode" + ] + }, + { + "group": "Reve", + "pages": [ + "ja/built-in-nodes/ReveImageCreateNode", + "ja/built-in-nodes/ReveImageEditNode", + "ja/built-in-nodes/ReveImageRemixNode" + ] + }, + { + "group": "Runway", + "pages": [ + "ja/built-in-nodes/RunwayTextToImageNode" + ] + }, + { + "group": "Stability AI", + "pages": [ + "ja/built-in-nodes/StabilityStableImageSD_3_5Node", + "ja/built-in-nodes/StabilityStableImageUltraNode", + "ja/built-in-nodes/StabilityUpscaleConservativeNode", + "ja/built-in-nodes/StabilityUpscaleCreativeNode", + "ja/built-in-nodes/StabilityUpscaleFastNode" + ] + }, + { + "group": "Topaz", + "pages": [ + "ja/built-in-nodes/TopazImageEnhance" + ] + }, + { + "group": "Wan", + "pages": [ + "ja/built-in-nodes/WanImageToImageApi", + "ja/built-in-nodes/WanTextToImageApi" + ] + }, + { + "group": "Wavespeed", + "pages": [ + "ja/built-in-nodes/WavespeedImageUpscaleNode" + ] + } + ] + }, + { + "group": "テキスト", + "pages": [ + { + "group": "Anthropic", + "pages": [ + "ja/built-in-nodes/ClaudeNode" + ] + }, + { + "group": "Bytedance", + "pages": [ + "ja/built-in-nodes/ByteDanceSeedNode" + ] + }, + { + "group": "Gemini", + "pages": [ + "ja/built-in-nodes/GeminiInputFiles", + "ja/built-in-nodes/GeminiNode" + ] + }, + { + "group": "OpenAI", + "pages": [ + "ja/built-in-nodes/OpenAIChatConfig", + "ja/built-in-nodes/OpenAIChatNode", + "ja/built-in-nodes/OpenAIInputFiles" + ] + }, + { + "group": "OpenRouter", + "pages": [ + "ja/built-in-nodes/OpenRouterLLMNode" + ] + } + ] + }, + { + "group": "ビデオ", + "pages": [ + { + "group": "Beeble", + "pages": [ + "ja/built-in-nodes/BeebleSwitchXVideoEdit" + ] + }, + { + "group": "Bria", + "pages": [ + "ja/built-in-nodes/BriaRemoveVideoBackground", + "ja/built-in-nodes/BriaTransparentVideoBackground", + "ja/built-in-nodes/BriaVideoGreenScreen", + "ja/built-in-nodes/BriaVideoReplaceBackground" + ] + }, + { + "group": "Bytedance", + "pages": [ + "ja/built-in-nodes/ByteDance2FirstLastFrameNode", + "ja/built-in-nodes/ByteDance2ReferenceNode", + "ja/built-in-nodes/ByteDance2TextToVideoNode", + "ja/built-in-nodes/ByteDanceCreateVideoAsset", + "ja/built-in-nodes/ByteDanceFirstLastFrameNode", + "ja/built-in-nodes/ByteDanceImageReferenceNode", + "ja/built-in-nodes/ByteDanceImageToVideoNode", + "ja/built-in-nodes/ByteDanceTextToVideoNode" + ] + }, + { + "group": "Grok", + "pages": [ + "ja/built-in-nodes/GrokVideoEditNode", + "ja/built-in-nodes/GrokVideoExtendNode", + "ja/built-in-nodes/GrokVideoNode", + "ja/built-in-nodes/GrokVideoReferenceNode" + ] + }, + { + "group": "HitPaw", + "pages": [ + "ja/built-in-nodes/HitPawVideoEnhance" + ] + }, + { + "group": "Kling", + "pages": [ + "ja/built-in-nodes/KlingAvatarNode", + "ja/built-in-nodes/KlingCameraControlI2VNode", + "ja/built-in-nodes/KlingCameraControls", + "ja/built-in-nodes/KlingCameraControlT2VNode", + "ja/built-in-nodes/KlingDualCharacterVideoEffectNode", + "ja/built-in-nodes/KlingFirstLastFrameNode", + "ja/built-in-nodes/KlingImage2VideoNode", + "ja/built-in-nodes/KlingImageToVideoWithAudio", + "ja/built-in-nodes/KlingLipSyncAudioToVideoNode", + "ja/built-in-nodes/KlingLipSyncTextToVideoNode", + "ja/built-in-nodes/KlingMotionControl", + "ja/built-in-nodes/KlingOmniProEditVideoNode", + "ja/built-in-nodes/KlingOmniProFirstLastFrameNode", + "ja/built-in-nodes/KlingOmniProImageToVideoNode", + "ja/built-in-nodes/KlingOmniProTextToVideoNode", + "ja/built-in-nodes/KlingOmniProVideoToVideoNode", + "ja/built-in-nodes/KlingSingleImageVideoEffectNode", + "ja/built-in-nodes/KlingStartEndFrameNode", + "ja/built-in-nodes/KlingTextToVideoNode", + "ja/built-in-nodes/KlingTextToVideoWithAudio", + "ja/built-in-nodes/KlingVideoExtendNode", + "ja/built-in-nodes/KlingVideoNode" + ] + }, + { + "group": "LTXV", + "pages": [ + "ja/built-in-nodes/LtxvApiImageToVideo", + "ja/built-in-nodes/LtxvApiTextToVideo" + ] + }, + { + "group": "Luma", + "pages": [ + "ja/built-in-nodes/LumaConceptsNode", + "ja/built-in-nodes/LumaImageToVideoNode", + "ja/built-in-nodes/LumaVideoNode" + ] + }, + { + "group": "Minimax", + "pages": [ + "ja/built-in-nodes/MinimaxHailuoVideoNode", + "ja/built-in-nodes/MinimaxImageToVideoNode", + "ja/built-in-nodes/MinimaxSubjectToVideoNode", + "ja/built-in-nodes/MinimaxTextToVideoNode" + ] + }, + { + "group": "PixVerse", + "pages": [ + "ja/built-in-nodes/PixverseImageToVideoNode", + "ja/built-in-nodes/PixverseTemplateNode", + "ja/built-in-nodes/PixverseTextToVideoNode", + "ja/built-in-nodes/PixverseTransitionVideoNode" + ] + }, + { + "group": "Runway", + "pages": [ + "ja/built-in-nodes/RunwayFirstLastFrameNode", + "ja/built-in-nodes/RunwayImageToVideoNodeGen3a", + "ja/built-in-nodes/RunwayImageToVideoNodeGen4" + ] + }, + { + "group": "Sora", + "pages": [ + "ja/built-in-nodes/OpenAIVideoSora2" + ] + }, + { + "group": "Topaz", + "pages": [ + "ja/built-in-nodes/TopazVideoEnhance", + "ja/built-in-nodes/TopazVideoEnhanceV2" + ] + }, + { + "group": "Veo", + "pages": [ + "ja/built-in-nodes/Veo3FirstLastFrameNode", + "ja/built-in-nodes/Veo3VideoGenerationNode", + "ja/built-in-nodes/VeoVideoGenerationNode" + ] + }, + { + "group": "Vidu", + "pages": [ + "ja/built-in-nodes/Vidu2ImageToVideoNode", + "ja/built-in-nodes/Vidu2ReferenceVideoNode", + "ja/built-in-nodes/Vidu2StartEndToVideoNode", + "ja/built-in-nodes/Vidu2TextToVideoNode", + "ja/built-in-nodes/Vidu3ImageToVideoNode", + "ja/built-in-nodes/Vidu3StartEndToVideoNode", + "ja/built-in-nodes/Vidu3TextToVideoNode", + "ja/built-in-nodes/ViduExtendVideoNode", + "ja/built-in-nodes/ViduImageToVideoNode", + "ja/built-in-nodes/ViduMultiFrameVideoNode", + "ja/built-in-nodes/ViduReferenceVideoNode", + "ja/built-in-nodes/ViduStartEndToVideoNode", + "ja/built-in-nodes/ViduTextToVideoNode" + ] + }, + { + "group": "Wan", + "pages": [ + "ja/built-in-nodes/HappyHorseImageToVideoApi", + "ja/built-in-nodes/HappyHorseReferenceVideoApi", + "ja/built-in-nodes/HappyHorseTextToVideoApi", + "ja/built-in-nodes/HappyHorseVideoEditApi", + "ja/built-in-nodes/Wan2ImageToVideoApi", + "ja/built-in-nodes/Wan2ReferenceVideoApi", + "ja/built-in-nodes/Wan2TextToVideoApi", + "ja/built-in-nodes/Wan2VideoContinuationApi", + "ja/built-in-nodes/Wan2VideoEditApi", + "ja/built-in-nodes/WanImageToVideoApi", + "ja/built-in-nodes/WanReferenceVideoApi", + "ja/built-in-nodes/WanTextToVideoApi" + ] + }, + { + "group": "Wavespeed", + "pages": [ + "ja/built-in-nodes/WavespeedFlashVSRNode" + ] + } + ] + } + ] + }, + { + "group": "サンプリング", + "pages": [ + { + "group": "カスタムサンプリング", + "pages": [ + { + "group": "サンプラー", + "pages": [ + "ja/built-in-nodes/SamplerDpmpp2mSde", + "ja/built-in-nodes/SamplerDpmppSde" + ] + }, + { + "group": "スケジューラー", + "pages": [ + "ja/built-in-nodes/Ideogram4Scheduler" + ] + }, + "ja/built-in-nodes/CFGOverride" + ] + } + ] + }, + { + "group": "テキスト", + "pages": [ + "ja/built-in-nodes/AddTextPrefix", + "ja/built-in-nodes/AddTextSuffix", + "ja/built-in-nodes/CaseConverter", + "ja/built-in-nodes/JsonExtractString", + "ja/built-in-nodes/MergeTextLists", + "ja/built-in-nodes/RegexExtract", + "ja/built-in-nodes/RegexMatch", + "ja/built-in-nodes/RegexReplace", + "ja/built-in-nodes/ReplaceText", + "ja/built-in-nodes/StringCompare", + "ja/built-in-nodes/StringConcatenate", + "ja/built-in-nodes/StringContains", + "ja/built-in-nodes/StringFormat", + "ja/built-in-nodes/StringLength", + "ja/built-in-nodes/StringReplace", + "ja/built-in-nodes/StringSubstring", + "ja/built-in-nodes/StringTrim", + "ja/built-in-nodes/StripWhitespace", + "ja/built-in-nodes/TextGenerate", + "ja/built-in-nodes/TextGenerateLTX2Prompt", + "ja/built-in-nodes/TextToLowercase", + "ja/built-in-nodes/TextToUppercase", + "ja/built-in-nodes/TruncateText" + ] + }, + { + "group": "ユーティリティ", + "pages": [ + { + "group": "ロジック", + "pages": [ + "ja/built-in-nodes/AutogrowNamesTestNode", + "ja/built-in-nodes/AutogrowPrefixTestNode", + "ja/built-in-nodes/ComboOptionTestNode", + "ja/built-in-nodes/ComfyAndNode", + "ja/built-in-nodes/ComfyNotNode", + "ja/built-in-nodes/ComfyOrNode", + "ja/built-in-nodes/ComfySoftSwitchNode", + "ja/built-in-nodes/ComfySwitchNode", + "ja/built-in-nodes/ConvertStringToComboNode", + "ja/built-in-nodes/DCTestNode", + "ja/built-in-nodes/InvertBooleanNode" + ] + }, + { + "group": "プリミティブ", + "pages": [ + "ja/built-in-nodes/PrimitiveBoolean", + "ja/built-in-nodes/PrimitiveBoundingBox", + "ja/built-in-nodes/PrimitiveFloat", + "ja/built-in-nodes/PrimitiveInt", + "ja/built-in-nodes/PrimitiveString", + "ja/built-in-nodes/PrimitiveStringMultiline" + ] + }, + "ja/built-in-nodes/ColorToRGBInt", + "ja/built-in-nodes/ComfyMathExpression", + "ja/built-in-nodes/ComfyNumberConvert", + "ja/built-in-nodes/CreateList", + "ja/built-in-nodes/CurveEditor", + "ja/built-in-nodes/CustomCombo", + "ja/built-in-nodes/ImageHistogram", + "ja/built-in-nodes/PreviewAny", + "ja/built-in-nodes/ResolutionSelector" + ] + }, + { + "group": "ユーティリティ", + "pages": [ + "ja/built-in-nodes/BatchImagesMasksLatentsNode", + "ja/built-in-nodes/MarkdownNote", + "ja/built-in-nodes/Note", + "ja/built-in-nodes/Reroute", + "ja/built-in-nodes/TerminalLog", + "ja/built-in-nodes/wanBlockSwap" + ] + }, + { + "group": "ビデオ", + "pages": [ + { + "group": "プリプロセッサ", + "pages": [ + "ja/built-in-nodes/LTXVPreprocess" + ] + }, + "ja/built-in-nodes/CreateVideo", + "ja/built-in-nodes/FrameInterpolate", + "ja/built-in-nodes/GetVideoComponents", + "ja/built-in-nodes/LoadVideo", + "ja/built-in-nodes/SaveVideo", + "ja/built-in-nodes/SaveWEBM", + "ja/built-in-nodes/Video Slice" + ] + } + ] + } + ] + }, + { + "tab": "開発", + "pages": [ + "ja/development/overview", + { + "group": "ComfyUI APIs", + "icon": "computer", + "pages": [ + "ja/development/api-development/overview", + { + "group": "Cloud API", + "icon": "cloud", + "pages": [ + "ja/development/cloud/overview", + "ja/development/cloud/api-reference", + "ja/development/cloud/openapi" + ] + }, + { + "group": "ComfyUI Server API", + "icon": "server", + "pages": [ + "ja/development/comfyui-server/comms_overview", + "ja/development/comfyui-server/startup-flags", + "ja/development/comfyui-server/comms_routes", + "ja/development/comfyui-server/api-examples", + "ja/development/comfyui-server/comms_messages", + "ja/development/comfyui-server/execution_model_inversion_guide" + ] + }, + "ja/development/comfyui-server/api-key-integration", + "ja/development/api-development/workflow-api-format", + "ja/development/api-development/getting-an-api-key" + ] + }, + { + "group": "CLI", + "pages": [ + "ja/comfy-cli/getting-started", + "ja/comfy-cli/reference", + "ja/comfy-cli/troubleshooting" + ] + }, + { + "group": "カスタムノード開発", + "pages": [ + "ja/custom-nodes/overview", + "ja/custom-nodes/walkthrough", + { + "group": "バックエンド", + "icon": "python", + "pages": [ + "ja/custom-nodes/backend/server_overview", + "ja/custom-nodes/backend/lifecycle", + "ja/custom-nodes/backend/datatypes", + "ja/custom-nodes/backend/images_and_masks", + "ja/custom-nodes/backend/more_on_inputs", + "ja/custom-nodes/backend/lazy_evaluation", + "ja/custom-nodes/backend/expansion", + "ja/custom-nodes/backend/lists", + "ja/custom-nodes/backend/snippets", + "ja/custom-nodes/backend/tensors", + "ja/custom-nodes/backend/node-replacement" + ] + }, + { + "group": "UI", + "icon": "js", + "pages": [ + "ja/custom-nodes/js/javascript_overview", + "ja/custom-nodes/js/javascript_hooks", + "ja/custom-nodes/js/javascript_objects_and_hijacking", + "ja/custom-nodes/js/javascript_settings", + "ja/custom-nodes/js/javascript_dialog", + "ja/custom-nodes/js/javascript_toast", + "ja/custom-nodes/js/javascript_about_panel_badges", + "ja/custom-nodes/js/javascript_bottom_panel_tabs", + "ja/custom-nodes/js/javascript_sidebar_tabs", + "ja/custom-nodes/js/javascript_selection_toolbox", + "ja/custom-nodes/js/javascript_commands_keybindings", + "ja/custom-nodes/js/javascript_topbar_menu", + "ja/custom-nodes/js/context-menu-migration", + "ja/custom-nodes/js/subgraphs", + "ja/custom-nodes/js/javascript_examples", + "ja/custom-nodes/i18n" + ] + }, + "ja/custom-nodes/v3_migration", + "ja/custom-nodes/help_page", + "ja/custom-nodes/workflow_templates", + "ja/custom-nodes/subgraph_blueprints" + ] + }, + { + "group": "レジストリ（Registry）", + "pages": [ + "ja/registry/overview", + "ja/registry/publishing", + "ja/registry/claim-my-node", + "ja/registry/standards", + "ja/registry/cicd", + "ja/registry/specifications", + "ja/registry/api-reference/overview" + ] + }, + { + "group": "仕様", + "pages": [ + { + "group": "Workflow JSON", + "pages": [ + "ja/specs/workflow_json", + "ja/specs/workflow_json_0.4" + ] + }, + { + "group": "ノード定義", + "pages": [ + "ja/specs/nodedef_json", + "ja/specs/nodedef_json_1_0" + ] + } + ] + } + ] + }, + { + "tab": "サポート", + "pages": [ + "ja/support/contact-support", + "ja/support/data-retention", + { + "group": "アカウント管理", + "icon": "user", + "pages": [ + "ja/account/create-account", + "ja/account/login", + "ja/account/delete-account" + ] + }, + { + "group": "請求サポート", + "pages": [ + { + "group": "サブスクリプション", + "pages": [ + "ja/support/subscription/subscribing", + "ja/support/subscription/managing", + "ja/support/subscription/changing-plan", + "ja/support/subscription/canceling" + ] + }, + { + "group": "お支払い", + "pages": [ + "ja/support/payment/accepted-payment-methods", + "ja/support/payment/editing-payment-information", + "ja/support/payment/payment-history", + "ja/support/payment/unsuccessful-payments", + "ja/support/payment/payment-currency", + "ja/support/payment/invoice-information" + ] + } + ] + }, + { + "group": "トラブルシューティング", + "icon": "bug", + "pages": [ + "ja/troubleshooting/overview", + "ja/troubleshooting/model-issues", + "ja/troubleshooting/custom-node-issues" + ] + }, + { + "group": "コミュニティ", + "pages": [ + "ja/community/contributing", + "ja/community/links" + ] + } + ] + }, + { + "tab": "Registry APIリファレンス", + "openapi": "https://api.comfy.org/openapi" + }, + { + "tab": "Cloud APIリファレンス", + "openapi": { + "source": "openapi-cloud.yaml", + "directory": "ja/api-reference/cloud" + } + } + ], + "footer": { + "socials": { + "github": "https://github.com/Comfy-Org/ComfyUI/", + "x": "https://x.com/ComfyUI", + "discord": "https://discord.com/invite/comfyorg", + "youtube": "https://www.youtube.com/@comfyorg" + }, + "links": [ + { + "header": "リソース", + "items": [ + { + "label": "インストール", + "href": "https://docs.comfy.org/ja/installation/system_requirements" + }, + { + "label": "チュートリアル", + "href": "https://docs.comfy.org/ja/tutorials/basic/text-to-image" + }, + { + "label": "開発", + "href": "https://docs.comfy.org/ja/development/overview" + } + ] + }, + { + "header": "プロダクト", + "items": [ + { + "label": "機能", + "href": "https://www.comfy.org/?utm_source=docs#features-1" + }, + { + "label": "ギャラリー", + "href": "https://www.comfy.org/gallery?utm_source=docs" + }, + { + "label": "ダウンロード", + "href": "https://www.comfy.org/download?utm_source=docs" + } + ] + }, + { + "header": "会社情報", + "items": [ + { + "label": "概要", + "href": "https://www.comfy.org/about?utm_source=docs" + }, + { + "label": "採用情報", + "href": "https://www.comfy.org/careers?utm_source=docs" + }, + { + "label": "利用規約", + "href": "https://www.comfy.org/terms-of-service?utm_source=docs" + }, + { + "label": "プライバシーポリシー", + "href": "https://www.comfy.org/privacy-policy?utm_source=docs" + } + ] + } + ] + }, + "navbar": { + "links": [ + { + "label": "ダウンロード", + "href": "https://comfy.org/download?utm_source=docs" + } + ], + "primary": { + "type": "button", + "label": "Comfy Cloud", + "href": "https://comfy.org/cloud?utm_source=docs" + } + } + }, + { + "language": "ko", + "tabs": [ + { + "tab": "시작하기", + "pages": [ + { + "group": "시작하기", + "pages": [ + "ko/index", + { + "group": "로컬 (자체 호스팅)", + "icon": "download", + "pages": [ + "ko/installation/system_requirements", + { + "group": "Comfy Desktop", + "pages": [ + "ko/installation/desktop/overview", + { + "group": "설치", + "pages": [ + "ko/installation/desktop/windows", + "ko/installation/desktop/macos", + "ko/installation/desktop/linux" + ] + }, + { + "group": "사용 가이드", + "pages": [ + "ko/installation/desktop/usage/overview", + "ko/installation/desktop/usage/instance-management", + "ko/installation/desktop/usage/snapshots", + "ko/installation/desktop/usage/manage", + "ko/installation/desktop/usage/settings", + "ko/installation/desktop/usage/migrate" + ] + }, + "ko/installation/desktop/faq" + ] + }, + "ko/installation/comfyui_portable_windows", + "ko/installation/manual_install", + "ko/installation/update_comfyui" + ] + }, + "ko/get_started/cloud", + { + "group": "커스텀 노드 설치", + "icon": "puzzle-piece", + "pages": [ + "ko/installation/install_custom_node", + { + "group": "ComfyUI-Manager", + "pages": [ + "ko/manager/overview", + "ko/manager/install", + { + "group": "노드 관리", + "pages": [ + "ko/manager/pack-management", + "ko/manager/legacy-ui" + ] + }, + "ko/manager/configuration", + "ko/manager/troubleshooting" + ] + } + ] + }, + "ko/get_started/first_generation" + ] + }, + { + "group": "기본 개념", + "pages": [ + "ko/development/core-concepts/workflow", + "ko/development/core-concepts/nodes", + "ko/development/core-concepts/custom-nodes", + "ko/development/core-concepts/properties", + "ko/development/core-concepts/links", + "ko/development/core-concepts/models", + "ko/development/core-concepts/dependencies" + ] + }, + { + "group": "인터페이스 가이드", + "pages": [ + "ko/interface/overview", + "ko/interface/app-mode", + "ko/interface/nodes-2", + "ko/interface/maskeditor", + "ko/interface/features/template", + "ko/interface/features/subgraph", + "ko/interface/features/partial-execution", + "ko/interface/features/node-docs", + { + "group": "ComfyUI Settings", + "icon": "gear", + "pages": [ + "ko/interface/settings/overview", + "ko/interface/user", + "ko/interface/credits", + "ko/interface/settings/comfy", + "ko/interface/settings/lite-graph", + "ko/interface/appearance", + "ko/interface/settings/3d", + "ko/interface/settings/comfy-desktop", + "ko/interface/settings/mask-editor", + "ko/interface/shortcuts", + "ko/interface/settings/extension", + "ko/interface/settings/about", + "ko/interface/settings/server-config" + ] + }, + { + "group": "Cloud 전용 기능", + "icon": "cloud", + "pages": [ + "ko/cloud/share-workflow", + "ko/cloud/import-models" + ] + } + ] + }, + { + "group": "Agent Tools / MCP", + "icon": "robot", + "pages": [ + "ko/agent-tools/index", + "ko/agent-tools/cloud", + "ko/agent-tools/partner-mcp" + ] + }, + { + "group": "튜토리얼", + "icon": "book", + "pages": [ + { + "group": "기본 예제", + "pages": [ + "ko/tutorials/basic/text-to-image", + "ko/tutorials/basic/image-to-image", + "ko/tutorials/basic/inpaint", + "ko/tutorials/basic/outpaint", + "ko/tutorials/basic/upscale", + "ko/tutorials/basic/lora", + "ko/tutorials/basic/multiple-loras" + ] + }, + { + "group": "ControlNet", + "pages": [ + "ko/tutorials/controlnet/controlnet", + "ko/tutorials/controlnet/pose-controlnet-2-pass", + "ko/tutorials/controlnet/depth-controlnet", + "ko/tutorials/controlnet/depth-t2i-adapter", + "ko/tutorials/controlnet/mixing-controlnets" + ] + }, + { + "group": "이미지", + "pages": [ + { + "group": "Flux", + "pages": [ + "ko/tutorials/flux/flux-2-dev", + "ko/tutorials/flux/flux-2-klein", + "ko/tutorials/flux/flux1-krea-dev", + "ko/tutorials/flux/flux-1-kontext-dev", + "ko/tutorials/flux/flux-1-text-to-image", + "ko/tutorials/flux/flux-1-uso", + "ko/tutorials/flux/flux-1-fill-dev", + "ko/tutorials/flux/flux-1-controlnet" + ] + }, + { + "group": "Qwen", + "pages": [ + "ko/tutorials/image/qwen/qwen-image", + "ko/tutorials/image/qwen/qwen-image-2512", + "ko/tutorials/image/qwen/qwen-image-edit", + "ko/tutorials/image/qwen/qwen-image-edit-2511", + "ko/tutorials/image/qwen/qwen-image-layered" + ] + }, + { + "group": "Z-Image", + "pages": [ + "ko/tutorials/image/z-image/z-image", + "ko/tutorials/image/z-image/z-image-turbo" + ] + }, + { + "group": "HiDream", + "pages": [ + "ko/tutorials/image/hidream/hidream-i1", + "ko/tutorials/image/hidream/hidream-e1", + "ko/tutorials/image/hidream/hidream-o1" + ] + }, + { + "group": "Ovis", + "pages": [ + "ko/tutorials/image/ovis/ovis-image" + ] + }, + { + "group": "NewBie-image", + "pages": [ + "ko/tutorials/image/newbie-image/newbie-image-exp-0-1" + ] + }, + { + "group": "ERNIE-Image", + "pages": [ + "ko/tutorials/image/ernie-image/ernie-image" + ] + }, + { + "group": "Anima", + "pages": [ + "ko/tutorials/image/anima/anima" + ] + }, + { + "group": "렌즈", + "pages": [ + "ko/tutorials/image/lens/lens" + ] + }, + { + "group": "PixelDiT", + "pages": [ + "ko/tutorials/image/pixeldit/pixeldit" + ] + }, + { + "group": "Ideogram", + "pages": [ + "ko/tutorials/image/ideogram/ideogram-v4" + ] + }, + "ko/tutorials/image/cosmos/cosmos-predict2-t2i", + "ko/tutorials/image/omnigen/omnigen2" + ] + }, + { + "group": "3D", + "pages": [ + "ko/tutorials/3d/triposplat", + "ko/tutorials/3d/hunyuan3D-2" + ] + }, + { + "group": "LLM", + "pages": [ + "ko/tutorials/llm/gemma4/gemma4", + "ko/tutorials/llm/qwen/qwen3", + "ko/tutorials/llm/qwen/qwen3_5" + ] + }, + { + "group": "비디오", + "pages": [ + { + "group": "LTX", + "pages": [ + "ko/tutorials/video/ltxv", + "ko/tutorials/video/ltx/ltx-2", + "ko/tutorials/video/ltx/ltx-2-3" + ] + }, + { + "group": "Wan Video", + "pages": [ + "ko/tutorials/video/wan/wan2_2", + "ko/tutorials/video/wan/wan2-2-animate", + "ko/tutorials/video/wan/wan2-2-s2v", + "ko/tutorials/video/wan/wan2-2-fun-inp", + "ko/tutorials/video/wan/wan2-2-fun-control", + "ko/tutorials/video/wan/wan2-2-fun-camera", + { + "group": "Wan2.1", + "pages": [ + "ko/tutorials/video/wan/wan-video", + "ko/tutorials/video/wan/vace", + "ko/tutorials/video/wan/wan-move", + "ko/tutorials/video/wan/wan-alpha", + "ko/tutorials/video/wan/wan-ati", + "ko/tutorials/video/wan/fun-control", + "ko/tutorials/video/wan/fun-camera", + "ko/tutorials/video/wan/fun-inp", + "ko/tutorials/video/wan/wan-flf" + ] + } + ] + }, + { + "group": "Hunyuan", + "pages": [ + "ko/tutorials/video/hunyuan/hunyuan-video", + "ko/tutorials/video/hunyuan/hunyuan-video-1-5" + ] + }, + { + "group": "Cosmos", + "pages": [ + "ko/tutorials/video/cosmos/cosmos-predict2-video2world" + ] + }, + { + "group": "Kandinsky", + "pages": [ + "ko/tutorials/video/kandinsky/kandinsky-5" + ] + } + ] + }, + { + "group": "오디오", + "pages": [ + { + "group": "Stable Audio 1.0", + "pages": [ + "ko/tutorials/audio/stable-audio/stable-audio-1" + ] + }, + { + "group": "Stable Audio 3", + "pages": [ + "ko/tutorials/audio/stable-audio/stable-audio-3" + ] + }, + { + "group": "ACE-Step", + "pages": [ + "ko/tutorials/audio/ace-step/ace-step-v1", + "ko/tutorials/audio/ace-step/ace-step-v1-5" + ] + } + ] + }, + { + "group": "유틸리티", + "pages": [ + "ko/tutorials/utility/preprocessors", + "ko/tutorials/utility/frame-interpolation", + "ko/tutorials/utility/image-upscale", + "ko/tutorials/utility/video-upscale", + "ko/tutorials/utility/void-video-inpainting", + "ko/tutorials/utility/video-segment-sam3", + "ko/tutorials/utility/remove-background-birefnet", + "ko/tutorials/utility/moge", + { + "group": "얼굴 감지", + "pages": [ + "ko/tutorials/utility/face-detection/mediapipe" + ] + } + ] + } + ] + }, + { + "group": "파트너 노드", + "icon": "handshake", + "pages": [ + "ko/tutorials/partner-nodes/overview", + "ko/tutorials/partner-nodes/faq", + "ko/tutorials/partner-nodes/pricing", + "ko/tutorials/partner-nodes/concurrency-limits", + { + "group": "Black Forest Labs", + "pages": [ + "ko/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", + "ko/tutorials/partner-nodes/black-forest-labs/flux-1-kontext" + ] + }, + { + "group": "Beeble", + "pages": [ + "ko/tutorials/partner-nodes/beeble/beeble-switchx" + ] + }, + { + "group": "ByteDance", + "pages": [ + "ko/tutorials/partner-nodes/bytedance/seedance-2-0", + "ko/tutorials/partner-nodes/bytedance/seedance-2-0-real-human", + "ko/tutorials/partner-nodes/bytedance/seedream-5-lite" + ] + }, + { + "group": "Google", + "pages": [ + "ko/tutorials/partner-nodes/google/gemini", + "ko/tutorials/partner-nodes/google/nano-banana-pro", + "ko/tutorials/partner-nodes/google/nano-banana-2" + ] + }, + { + "group": "Anthropic", + "pages": [ + "ko/tutorials/partner-nodes/anthropic/claude" + ] + }, + { + "group": "Stability AI", + "pages": [ + "ko/tutorials/partner-nodes/stability-ai/stable-image-ultra", + "ko/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", + "ko/tutorials/partner-nodes/stability-ai/stable-audio" + ] + }, + { + "group": "Ideogram", + "pages": [ + "ko/tutorials/partner-nodes/ideogram/ideogram-v4", + "ko/tutorials/partner-nodes/ideogram/ideogram-v3" + ] + }, + { + "group": "Luma", + "pages": [ + "ko/tutorials/partner-nodes/luma/luma-uni-1", + "ko/tutorials/partner-nodes/luma/luma-text-to-image", + "ko/tutorials/partner-nodes/luma/luma-image-to-image", + "ko/tutorials/partner-nodes/luma/luma-text-to-video", + "ko/tutorials/partner-nodes/luma/luma-image-to-video" + ] + }, + { + "group": "Moonvalley", + "pages": [ + "ko/tutorials/partner-nodes/moonvalley/moonvalley-video-generation" + ] + }, + { + "group": "OpenAI", + "pages": [ + "ko/tutorials/partner-nodes/openai/gpt-image-2", + "ko/tutorials/partner-nodes/openai/gpt-image-1", + "ko/tutorials/partner-nodes/openai/dall-e-2", + "ko/tutorials/partner-nodes/openai/dall-e-3", + "ko/tutorials/partner-nodes/openai/chat" + ] + }, + { + "group": "OpenRouter", + "pages": [ + "ko/tutorials/partner-nodes/openrouter/llm" + ] + }, + { + "group": "Recraft", + "pages": [ + "ko/tutorials/partner-nodes/recraft/recraft-v4", + "ko/tutorials/partner-nodes/recraft/recraft-text-to-image" + ] + }, + { + "group": "Kling", + "pages": [ + "ko/tutorials/partner-nodes/kling/kling-3-0", + "ko/tutorials/partner-nodes/kling/kling-motion-control" + ] + }, + { + "group": "Runway", + "pages": [ + "ko/tutorials/partner-nodes/runway/image-generation", + "ko/tutorials/partner-nodes/runway/video-generation" + ] + }, + { + "group": "Rodin", + "pages": [ + "ko/tutorials/partner-nodes/rodin/model-generation" + ] + }, + { + "group": "Tripo", + "pages": [ + "ko/tutorials/partner-nodes/tripo/model-generation", + "ko/tutorials/partner-nodes/tripo/tripo-3-1" + ] + }, + { + "group": "Hunyuan 3D", + "pages": [ + "ko/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" + ] + }, + { + "group": "Meshy", + "pages": [ + "ko/tutorials/partner-nodes/meshy/meshy-6" + ] + }, + { + "group": "Bria", + "pages": [ + "ko/tutorials/partner-nodes/bria/fibo" + ] + }, + { + "group": "Reve", + "pages": [ + "ko/tutorials/partner-nodes/reve/reve-image" + ] + }, + { + "group": "Wan", + "pages": [ + "ko/tutorials/partner-nodes/wan/wan2-7" + ] + }, + { + "group": "HappyHorse", + "pages": [ + "ko/tutorials/partner-nodes/happyhorse/happyhorse1-0" + ] + }, + { + "group": "Sonilo", + "pages": [ + "ko/tutorials/partner-nodes/sonilo/video-to-music" + ] + }, + { + "group": "Topaz", + "pages": [ + "ko/tutorials/partner-nodes/topaz/astra-2" + ] + } + ] + }, + "ko/changelog/index" + ] + }, + { + "tab": "내장 노드 (Built-in Nodes)", + "pages": [ + "ko/built-in-nodes/overview", + { + "group": "노드", + "pages": [ + { + "group": "3D", + "pages": [ + { + "group": "컨디셔닝", + "pages": [ + "ko/built-in-nodes/TripoSplatConditioning", + "ko/built-in-nodes/TripoSplatPreprocessImage" + ] + }, + { + "group": "잠재", "pages": [ - { - "group": "Custom Sampling", - "pages": [ - "ja/built-in-nodes/APG", - "ja/built-in-nodes/SamplerCustom", - "ja/built-in-nodes/SamplerCustomAdvanced" - ] - }, - { - "group": "Guiders", - "pages": [ - "ja/built-in-nodes/BasicGuider", - "ja/built-in-nodes/CFGGuider", - "ja/built-in-nodes/DualCFGGuider", - "ja/built-in-nodes/VideoLinearCFGGuidance", - "ja/built-in-nodes/VideoTriangleCFGGuidance" - ] - }, - { - "group": "Noise", - "pages": [ - "ja/built-in-nodes/DisableNoise", - "ja/built-in-nodes/RandomNoise", - "ja/built-in-nodes/VOIDWarpedNoiseSource" - ] - }, - { - "group": "Samplers", - "pages": [ - "ja/built-in-nodes/KSamplerSelect", - "ja/built-in-nodes/SamplerARVideo", - "ja/built-in-nodes/SamplerDPMAdaptative", - "ja/built-in-nodes/SamplerDPMPP_2M_SDE", - "ja/built-in-nodes/SamplerDPMPP_2S_Ancestral", - "ja/built-in-nodes/SamplerDPMPP_3M_SDE", - "ja/built-in-nodes/SamplerDPMPP_SDE", - "ja/built-in-nodes/SamplerER_SDE", - "ja/built-in-nodes/SamplerEulerAncestral", - "ja/built-in-nodes/SamplerEulerAncestralCFGPP", - "ja/built-in-nodes/SamplerLCM", - "ja/built-in-nodes/SamplerLCMUpscale", - "ja/built-in-nodes/SamplerLMS", - "ja/built-in-nodes/SamplerSASolver", - "ja/built-in-nodes/SamplerSEEDS2", - "ja/built-in-nodes/VOIDSampler" - ] - }, - { - "group": "Schedulers", - "pages": [ - "ja/built-in-nodes/AlignYourStepsScheduler", - "ja/built-in-nodes/BasicScheduler", - "ja/built-in-nodes/BetaSamplingScheduler", - "ja/built-in-nodes/ExponentialScheduler", - "ja/built-in-nodes/Flux2Scheduler", - "ja/built-in-nodes/GITSScheduler", - "ja/built-in-nodes/KarrasScheduler", - "ja/built-in-nodes/LaplaceScheduler", - "ja/built-in-nodes/LTXVScheduler", - "ja/built-in-nodes/OptimalStepsScheduler", - "ja/built-in-nodes/PolyexponentialScheduler", - "ja/built-in-nodes/SDTurboScheduler", - "ja/built-in-nodes/VPScheduler" - ] - }, - { - "group": "Sigmas", - "pages": [ - "ja/built-in-nodes/ExtendIntermediateSigmas", - "ja/built-in-nodes/FlipSigmas", - "ja/built-in-nodes/SamplingPercentToSigma", - "ja/built-in-nodes/SetFirstSigma", - "ja/built-in-nodes/SplitSigmas", - "ja/built-in-nodes/SplitSigmasDenoise" - ] - }, - "ja/built-in-nodes/KSampler", - "ja/built-in-nodes/KSamplerAdvanced" + "ko/built-in-nodes/TripoSplatSamplingPreview", + "ko/built-in-nodes/VAEDecodeTripoSplat" ] }, { - "group": "Training", + "group": "스플랫", "pages": [ - "ja/built-in-nodes/LoadTrainingDataset", - "ja/built-in-nodes/LossGraphNode", - "ja/built-in-nodes/MakeTrainingDataset", - "ja/built-in-nodes/ResolutionBucket", - "ja/built-in-nodes/SaveTrainingDataset", - "ja/built-in-nodes/TrainLoraNode" + "ko/built-in-nodes/File3DToSplat", + "ko/built-in-nodes/GetSplatCount", + "ko/built-in-nodes/MergeSplat", + "ko/built-in-nodes/RenderSplat", + "ko/built-in-nodes/SplatToFile3D", + "ko/built-in-nodes/SplatToMesh", + "ko/built-in-nodes/TransformSplat" ] - } + }, + "ko/built-in-nodes/CreateCameraInfo", + "ko/built-in-nodes/Load3D", + "ko/built-in-nodes/Load3DAnimation", + "ko/built-in-nodes/Preview3D", + "ko/built-in-nodes/Preview3DAdvanced", + "ko/built-in-nodes/Preview3DAnimation", + "ko/built-in-nodes/SaveGLB", + "ko/built-in-nodes/VoxelToMesh", + "ko/built-in-nodes/VoxelToMeshBasic" ] }, { - "group": "Text", + "group": "고급", "pages": [ { - "group": "Partner", + "group": "컨디셔닝", "pages": [ { - "group": "Anthropic", + "group": "오디오", "pages": [ - "ja/built-in-nodes/ClaudeNode" + "ko/built-in-nodes/ReferenceTimbreAudio" ] }, { - "group": "Bytedance", + "group": "모델 편집", "pages": [ - "ja/built-in-nodes/ByteDanceSeedNode" + "ko/built-in-nodes/ReferenceLatent" ] }, { - "group": "Gemini", + "group": "Flux", "pages": [ - "ja/built-in-nodes/GeminiInputFiles", - "ja/built-in-nodes/GeminiNode" + "ko/built-in-nodes/ClipTextEncodeFlux", + "ko/built-in-nodes/FluxDisableGuidance", + "ko/built-in-nodes/FluxGuidance", + "ko/built-in-nodes/FluxKontextImageScale", + "ko/built-in-nodes/FluxKontextMultiReferenceLatentMethod" ] }, { - "group": "Openai", + "group": "Kandinsky5", "pages": [ - "ja/built-in-nodes/OpenAIChatConfig", - "ja/built-in-nodes/OpenAIChatNode", - "ja/built-in-nodes/OpenAIInputFiles" + "ko/built-in-nodes/ClipTextEncodeKandinsky5" ] }, - { - "group": "Openrouter", - "pages": [ - "ja/built-in-nodes/OpenRouterLLMNode" - ] - } + "ko/built-in-nodes/ClipTextEncodeHiDream", + "ko/built-in-nodes/ClipTextEncodeHunyuanDiT", + "ko/built-in-nodes/ClipTextEncodePixArtAlpha", + "ko/built-in-nodes/ClipTextEncodeSD3", + "ko/built-in-nodes/ClipTextEncodeSDXL", + "ko/built-in-nodes/ClipTextEncodeSDXLRefiner", + "ko/built-in-nodes/ConditioningSetTimestepRange", + "ko/built-in-nodes/ConditioningZeroOut", + "ko/built-in-nodes/PiDConditioning", + "ko/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo", + "ko/built-in-nodes/TextEncodeQwenImageEdit", + "ko/built-in-nodes/TextEncodeQwenImageEditPlus", + "ko/built-in-nodes/TextEncodeZImageOmni" ] }, - "ja/built-in-nodes/AddTextPrefix", - "ja/built-in-nodes/AddTextSuffix", - "ja/built-in-nodes/CaseConverter", - "ja/built-in-nodes/JsonExtractString", - "ja/built-in-nodes/MergeTextLists", - "ja/built-in-nodes/RegexExtract", - "ja/built-in-nodes/RegexMatch", - "ja/built-in-nodes/RegexReplace", - "ja/built-in-nodes/ReplaceText", - "ja/built-in-nodes/StringCompare", - "ja/built-in-nodes/StringConcatenate", - "ja/built-in-nodes/StringContains", - "ja/built-in-nodes/StringFormat", - "ja/built-in-nodes/StringLength", - "ja/built-in-nodes/StringReplace", - "ja/built-in-nodes/StringSubstring", - "ja/built-in-nodes/StringTrim", - "ja/built-in-nodes/StripWhitespace", - "ja/built-in-nodes/TextGenerate", - "ja/built-in-nodes/TextGenerateLTX2Prompt", - "ja/built-in-nodes/TextToLowercase", - "ja/built-in-nodes/TextToUppercase", - "ja/built-in-nodes/TruncateText" - ] - }, - { - "group": "Utilities", - "pages": [ { - "group": "Logic", + "group": "디버그", "pages": [ - "ja/built-in-nodes/AutogrowNamesTestNode", - "ja/built-in-nodes/AutogrowPrefixTestNode", - "ja/built-in-nodes/ComboOptionTestNode", - "ja/built-in-nodes/ComfyAndNode", - "ja/built-in-nodes/ComfyNotNode", - "ja/built-in-nodes/ComfyOrNode", - "ja/built-in-nodes/ComfySoftSwitchNode", - "ja/built-in-nodes/ComfySwitchNode", - "ja/built-in-nodes/ConvertStringToComboNode", - "ja/built-in-nodes/DCTestNode", - "ja/built-in-nodes/InvertBooleanNode" + { + "group": "모델", + "pages": [ + "ko/built-in-nodes/EasyCache", + "ko/built-in-nodes/LazyCache", + "ko/built-in-nodes/ModelComputeDtype" + ] + } ] }, { - "group": "Primitive", + "group": "가이던스", "pages": [ - "ja/built-in-nodes/PrimitiveBoolean", - "ja/built-in-nodes/PrimitiveBoundingBox", - "ja/built-in-nodes/PrimitiveFloat", - "ja/built-in-nodes/PrimitiveInt", - "ja/built-in-nodes/PrimitiveString", - "ja/built-in-nodes/PrimitiveStringMultiline" + "ko/built-in-nodes/CFGNorm", + "ko/built-in-nodes/CFGZeroStar", + "ko/built-in-nodes/NAGuidance", + "ko/built-in-nodes/SkipLayerGuidanceDiT", + "ko/built-in-nodes/SkipLayerGuidanceDiTSimple", + "ko/built-in-nodes/SkipLayerGuidanceSD3", + "ko/built-in-nodes/TCFG" ] }, - "ja/built-in-nodes/ColorToRGBInt", - "ja/built-in-nodes/ComfyMathExpression", - "ja/built-in-nodes/ComfyNumberConvert", - "ja/built-in-nodes/CreateList", - "ja/built-in-nodes/CurveEditor", - "ja/built-in-nodes/CustomCombo", - "ja/built-in-nodes/ImageHistogram", - "ja/built-in-nodes/PreviewAny", - "ja/built-in-nodes/ResolutionSelector" - ] - }, - { - "group": "Video", - "pages": [ { - "group": "Partner", + "group": "훅", "pages": [ { - "group": "Beeble", - "pages": [ - "ja/built-in-nodes/BeebleSwitchXVideoEdit" - ] - }, - { - "group": "Bria", - "pages": [ - "ja/built-in-nodes/BriaRemoveVideoBackground" - ] - }, - { - "group": "Bytedance", - "pages": [ - "ja/built-in-nodes/ByteDance2FirstLastFrameNode", - "ja/built-in-nodes/ByteDance2ReferenceNode", - "ja/built-in-nodes/ByteDance2TextToVideoNode", - "ja/built-in-nodes/ByteDanceCreateVideoAsset", - "ja/built-in-nodes/ByteDanceFirstLastFrameNode", - "ja/built-in-nodes/ByteDanceImageReferenceNode", - "ja/built-in-nodes/ByteDanceImageToVideoNode", - "ja/built-in-nodes/ByteDanceTextToVideoNode" - ] - }, - { - "group": "Grok", - "pages": [ - "ja/built-in-nodes/GrokVideoEditNode", - "ja/built-in-nodes/GrokVideoExtendNode", - "ja/built-in-nodes/GrokVideoNode", - "ja/built-in-nodes/GrokVideoReferenceNode" - ] - }, - { - "group": "Hitpaw", + "group": "Clip", "pages": [ - "ja/built-in-nodes/HitPawVideoEnhance" + "ko/built-in-nodes/SetClipHooks" ] }, { - "group": "Kling", + "group": "결합", "pages": [ - "ja/built-in-nodes/KlingAvatarNode", - "ja/built-in-nodes/KlingCameraControlI2VNode", - "ja/built-in-nodes/KlingCameraControls", - "ja/built-in-nodes/KlingCameraControlT2VNode", - "ja/built-in-nodes/KlingDualCharacterVideoEffectNode", - "ja/built-in-nodes/KlingFirstLastFrameNode", - "ja/built-in-nodes/KlingImage2VideoNode", - "ja/built-in-nodes/KlingImageToVideoWithAudio", - "ja/built-in-nodes/KlingLipSyncAudioToVideoNode", - "ja/built-in-nodes/KlingLipSyncTextToVideoNode", - "ja/built-in-nodes/KlingMotionControl", - "ja/built-in-nodes/KlingOmniProEditVideoNode", - "ja/built-in-nodes/KlingOmniProFirstLastFrameNode", - "ja/built-in-nodes/KlingOmniProImageToVideoNode", - "ja/built-in-nodes/KlingOmniProTextToVideoNode", - "ja/built-in-nodes/KlingOmniProVideoToVideoNode", - "ja/built-in-nodes/KlingSingleImageVideoEffectNode", - "ja/built-in-nodes/KlingStartEndFrameNode", - "ja/built-in-nodes/KlingTextToVideoNode", - "ja/built-in-nodes/KlingTextToVideoWithAudio", - "ja/built-in-nodes/KlingVideoExtendNode", - "ja/built-in-nodes/KlingVideoNode" + "ko/built-in-nodes/CombineHooks", + "ko/built-in-nodes/CombineHooksEight", + "ko/built-in-nodes/CombineHooksFour" ] }, { - "group": "Ltxv", + "group": "컨디셔닝 쌍", "pages": [ - "ja/built-in-nodes/LtxvApiImageToVideo", - "ja/built-in-nodes/LtxvApiTextToVideo" + "ko/built-in-nodes/PairConditioningCombine", + "ko/built-in-nodes/PairConditioningSetDefaultAndCombine", + "ko/built-in-nodes/PairConditioningSetProperties", + "ko/built-in-nodes/PairConditioningSetPropertiesAndCombine" ] }, { - "group": "Luma", - "pages": [ - "ja/built-in-nodes/LumaConceptsNode", - "ja/built-in-nodes/LumaImageToVideoNode", - "ja/built-in-nodes/LumaVideoNode" + "group": "컨디셔닝 단일", + "pages": [ + "ko/built-in-nodes/ConditioningSetDefaultAndCombine", + "ko/built-in-nodes/ConditioningSetProperties", + "ko/built-in-nodes/ConditioningSetPropertiesAndCombine" ] }, { - "group": "Minimax", + "group": "생성", "pages": [ - "ja/built-in-nodes/MinimaxHailuoVideoNode", - "ja/built-in-nodes/MinimaxImageToVideoNode", - "ja/built-in-nodes/MinimaxSubjectToVideoNode", - "ja/built-in-nodes/MinimaxTextToVideoNode" + "ko/built-in-nodes/CreateHookLora", + "ko/built-in-nodes/CreateHookLoraModelOnly", + "ko/built-in-nodes/CreateHookModelAsLora", + "ko/built-in-nodes/CreateHookModelAsLoraModelOnly" ] }, { - "group": "Pixverse", + "group": "매뉴얼", "pages": [ - "ja/built-in-nodes/PixverseImageToVideoNode", - "ja/built-in-nodes/PixverseTemplateNode", - "ja/built-in-nodes/PixverseTextToVideoNode", - "ja/built-in-nodes/PixverseTransitionVideoNode" + "ko/built-in-nodes/SetModelHooksOnCond" ] }, { - "group": "Runway", + "group": "스케줄링", "pages": [ - "ja/built-in-nodes/RunwayFirstLastFrameNode", - "ja/built-in-nodes/RunwayImageToVideoNodeGen3a", - "ja/built-in-nodes/RunwayImageToVideoNodeGen4" + "ko/built-in-nodes/CreateHookKeyframe", + "ko/built-in-nodes/CreateHookKeyframesFromFloats", + "ko/built-in-nodes/CreateHookKeyframesInterpolated", + "ko/built-in-nodes/SetHookKeyframes" ] }, + "ko/built-in-nodes/ConditioningTimestepsRange" + ] + }, + { + "group": "로더", + "pages": [ { - "group": "Sora", + "group": "지원 중단", "pages": [ - "ja/built-in-nodes/OpenAIVideoSora2" + "ko/built-in-nodes/DiffusersLoader" ] }, { - "group": "Topaz", + "group": "Qwen", "pages": [ - "ja/built-in-nodes/TopazVideoEnhance", - "ja/built-in-nodes/TopazVideoEnhanceV2" + "ko/built-in-nodes/QwenImageDiffsynthControlnet" ] }, { - "group": "Veo", + "group": "Zimage", "pages": [ - "ja/built-in-nodes/Veo3FirstLastFrameNode", - "ja/built-in-nodes/Veo3VideoGenerationNode", - "ja/built-in-nodes/VeoVideoGenerationNode" + "ko/built-in-nodes/ZImageFunControlnet" ] }, + "ko/built-in-nodes/CheckpointLoader", + "ko/built-in-nodes/ClipLoader", + "ko/built-in-nodes/DeprecatedCheckpointLoader", + "ko/built-in-nodes/DeprecatedDiffusersLoader", + "ko/built-in-nodes/DualCLIPLoader", + "ko/built-in-nodes/LTXAVTextEncoderLoader", + "ko/built-in-nodes/ModelPatchLoader", + "ko/built-in-nodes/QuadrupleCLIPLoader", + "ko/built-in-nodes/TripleCLIPLoader", + "ko/built-in-nodes/UNETLoader" + ] + }, + { + "group": "모델", + "pages": [ + "ko/built-in-nodes/HiDreamO1PatchSeamSmoothing", + "ko/built-in-nodes/ModelNoiseScale", + "ko/built-in-nodes/ModelSamplingAuraFlow", + "ko/built-in-nodes/ModelSamplingContinuousEDM", + "ko/built-in-nodes/ModelSamplingContinuousV", + "ko/built-in-nodes/ModelSamplingDiscrete", + "ko/built-in-nodes/ModelSamplingFlux", + "ko/built-in-nodes/ModelSamplingLTXV", + "ko/built-in-nodes/ModelSamplingSD3", + "ko/built-in-nodes/ModelSamplingStableCascade", + "ko/built-in-nodes/RenormCFG", + "ko/built-in-nodes/RescaleCFG" + ] + }, + { + "group": "모델 병합", + "pages": [ { - "group": "Vidu", + "group": "모델별", "pages": [ - "ja/built-in-nodes/Vidu2ImageToVideoNode", - "ja/built-in-nodes/Vidu2ReferenceVideoNode", - "ja/built-in-nodes/Vidu2StartEndToVideoNode", - "ja/built-in-nodes/Vidu2TextToVideoNode", - "ja/built-in-nodes/Vidu3ImageToVideoNode", - "ja/built-in-nodes/Vidu3StartEndToVideoNode", - "ja/built-in-nodes/Vidu3TextToVideoNode", - "ja/built-in-nodes/ViduExtendVideoNode", - "ja/built-in-nodes/ViduImageToVideoNode", - "ja/built-in-nodes/ViduMultiFrameVideoNode", - "ja/built-in-nodes/ViduReferenceVideoNode", - "ja/built-in-nodes/ViduStartEndToVideoNode", - "ja/built-in-nodes/ViduTextToVideoNode" + "ko/built-in-nodes/ModelMergeAuraflow", + "ko/built-in-nodes/ModelMergeCosmos14B", + "ko/built-in-nodes/ModelMergeCosmos7B", + "ko/built-in-nodes/ModelMergeCosmosPredict2_14B", + "ko/built-in-nodes/ModelMergeCosmosPredict2_2B", + "ko/built-in-nodes/ModelMergeFlux1", + "ko/built-in-nodes/ModelMergeLTXV", + "ko/built-in-nodes/ModelMergeMochiPreview", + "ko/built-in-nodes/ModelMergeQwenImage", + "ko/built-in-nodes/ModelMergeSD1", + "ko/built-in-nodes/ModelMergeSD35_Large", + "ko/built-in-nodes/ModelMergeSD3_2B", + "ko/built-in-nodes/ModelMergeSDXL", + "ko/built-in-nodes/ModelMergeWAN2_1" ] }, + "ko/built-in-nodes/CheckpointSave", + "ko/built-in-nodes/ClipMergeAdd", + "ko/built-in-nodes/ClipMergeSimple", + "ko/built-in-nodes/ClipMergeSubtract", + "ko/built-in-nodes/ClipSave", + "ko/built-in-nodes/ImageOnlyCheckpointSave", + "ko/built-in-nodes/ModelMergeAdd", + "ko/built-in-nodes/ModelMergeBlocks", + "ko/built-in-nodes/ModelMergeSimple", + "ko/built-in-nodes/ModelMergeSubtract", + "ko/built-in-nodes/ModelSave", + "ko/built-in-nodes/SaveLoRA", + "ko/built-in-nodes/SaveLoRANode", + "ko/built-in-nodes/VAESave" + ] + }, + { + "group": "멀티 GPU", + "pages": [ + "ko/built-in-nodes/MultiGPU_Options", + "ko/built-in-nodes/MultiGPU_WorkUnits", + "ko/built-in-nodes/SelectCLIPDevice", + "ko/built-in-nodes/SelectModelDevice", + "ko/built-in-nodes/SelectVAEDevice" + ] + }, + "ko/built-in-nodes/GeminiNodeV2", + "ko/built-in-nodes/MoonvalleyImg2VideoNode", + "ko/built-in-nodes/MoonvalleyTxt2VideoNode", + "ko/built-in-nodes/MoonvalleyVideo2VideoNode", + "ko/built-in-nodes/PreviewGaussianSplat", + "ko/built-in-nodes/PreviewPointCloud", + "ko/built-in-nodes/SaveAudioAdvanced", + "ko/built-in-nodes/SeedVR2Conditioning", + "ko/built-in-nodes/SeedVR2PostProcessing", + "ko/built-in-nodes/SeedVR2Preprocess", + "ko/built-in-nodes/SeedVR2ProgressiveSampler" + ] + }, + { + "group": "API Node", + "pages": [ + { + "group": "이미지", + "pages": [ { - "group": "Wan", + "group": "Bfl", "pages": [ - "ja/built-in-nodes/HappyHorseImageToVideoApi", - "ja/built-in-nodes/HappyHorseReferenceVideoApi", - "ja/built-in-nodes/HappyHorseTextToVideoApi", - "ja/built-in-nodes/HappyHorseVideoEditApi", - "ja/built-in-nodes/Wan2ImageToVideoApi", - "ja/built-in-nodes/Wan2ReferenceVideoApi", - "ja/built-in-nodes/Wan2TextToVideoApi", - "ja/built-in-nodes/Wan2VideoContinuationApi", - "ja/built-in-nodes/Wan2VideoEditApi", - "ja/built-in-nodes/WanImageToVideoApi", - "ja/built-in-nodes/WanReferenceVideoApi", - "ja/built-in-nodes/WanTextToVideoApi" + "ko/built-in-nodes/FluxProCannyNode", + "ko/built-in-nodes/FluxProDepthNode", + "ko/built-in-nodes/FluxProImageNode" ] }, { - "group": "Wavespeed", + "group": "Bytedance", "pages": [ - "ja/built-in-nodes/WavespeedFlashVSRNode" + "ko/built-in-nodes/ByteDanceImageEditNode" ] } ] }, { - "group": "Preprocessors", + "group": "비디오", "pages": [ - "ja/built-in-nodes/LTXVPreprocess" + { + "group": "Pika", + "pages": [ + "ko/built-in-nodes/Pikadditions", + "ko/built-in-nodes/Pikaffects", + "ko/built-in-nodes/PikaImageToVideoNode2_2", + "ko/built-in-nodes/PikaScenesV2_2", + "ko/built-in-nodes/PikaStartEndFrameNode2_2", + "ko/built-in-nodes/Pikaswaps", + "ko/built-in-nodes/PikaTextToVideoNode2_2" + ] + } + ] + } + ] + }, + { + "group": "오디오", + "pages": [ + "ko/built-in-nodes/AudioAdjustVolume", + "ko/built-in-nodes/AudioConcat", + "ko/built-in-nodes/AudioEqualizer3Band", + "ko/built-in-nodes/AudioMerge", + "ko/built-in-nodes/EmptyAudio", + "ko/built-in-nodes/JoinAudioChannels", + "ko/built-in-nodes/LoadAudio", + "ko/built-in-nodes/PreviewAudio", + "ko/built-in-nodes/RecordAudio", + "ko/built-in-nodes/SaveAudio", + "ko/built-in-nodes/SaveAudioMP3", + "ko/built-in-nodes/SaveAudioOpus", + "ko/built-in-nodes/SplitAudioChannels", + "ko/built-in-nodes/TrimAudioDuration" + ] + }, + { + "group": "컨디셔닝", + "pages": [ + { + "group": "비디오 모델", + "pages": [ + "ko/built-in-nodes/Stablezero123Conditioning", + "ko/built-in-nodes/Stablezero123ConditioningBatched", + "ko/built-in-nodes/SVD_img2vid_Conditioning", + "ko/built-in-nodes/SvdImg2vidConditioning" ] }, - "ja/built-in-nodes/CreateVideo", - "ja/built-in-nodes/FrameInterpolate", - "ja/built-in-nodes/GetVideoComponents", - "ja/built-in-nodes/LoadVideo", - "ja/built-in-nodes/SaveVideo", - "ja/built-in-nodes/SaveWEBM", - "ja/built-in-nodes/Video Slice" + "ko/built-in-nodes/ConditioningAverage", + "ko/built-in-nodes/Sd4xupscaleConditioning" ] }, { - "group": "サンプリング", + "group": "실험적", "pages": [ { - "group": "Custom Sampling", + "group": "어텐션 실험", + "pages": [ + "ko/built-in-nodes/ClipAttentionMultiply", + "ko/built-in-nodes/UNetCrossAttentionMultiply", + "ko/built-in-nodes/UNetSelfAttentionMultiply", + "ko/built-in-nodes/UNetTemporalAttentionMultiply" + ] + }, + { + "group": "컨디셔닝", + "pages": [ + "ko/built-in-nodes/ClipTextEncodeControlnet", + "ko/built-in-nodes/T5TokenizerOptions" + ] + }, + { + "group": "커스텀 샘플링", "pages": [ { - "group": "Samplers", + "group": "노이즈", "pages": [ - "ja/built-in-nodes/SamplerDpmpp2mSde", - "ja/built-in-nodes/SamplerDpmppSde" + "ko/built-in-nodes/AddNoise" ] - } + }, + "ko/built-in-nodes/ManualSigmas" ] - } + }, + { + "group": "Photomaker", + "pages": [ + "ko/built-in-nodes/PhotoMakerEncode", + "ko/built-in-nodes/PhotoMakerLoader" + ] + }, + { + "group": "Stable Cascade", + "pages": [ + "ko/built-in-nodes/StableCascade_SuperResolutionControlnet" + ] + }, + "ko/built-in-nodes/DifferentialDiffusion", + "ko/built-in-nodes/FluxKVCache", + "ko/built-in-nodes/FreSca", + "ko/built-in-nodes/LatentBlend", + "ko/built-in-nodes/LoadLatent", + "ko/built-in-nodes/LoraSave", + "ko/built-in-nodes/Mahiro", + "ko/built-in-nodes/PerpNeg", + "ko/built-in-nodes/PerpNegGuider", + "ko/built-in-nodes/SamplerEulerCFGpp", + "ko/built-in-nodes/SaveLatent", + "ko/built-in-nodes/SelfAttentionGuidance", + "ko/built-in-nodes/TorchCompileModel", + "ko/built-in-nodes/VAEDecodeTiled", + "ko/built-in-nodes/VAEEncodeTiled" ] }, { - "group": "ユーティリティ", + "group": "이미지", "pages": [ - "ja/built-in-nodes/BatchImagesMasksLatentsNode", - "ja/built-in-nodes/MarkdownNote", - "ja/built-in-nodes/Note", - "ja/built-in-nodes/Reroute", - "ja/built-in-nodes/TerminalLog", - "ja/built-in-nodes/wanBlockSwap" + { + "group": "조정", + "pages": [ + "ko/built-in-nodes/AdjustBrightness", + "ko/built-in-nodes/AdjustContrast" + ] + }, + { + "group": "배경 제거", + "pages": [ + "ko/built-in-nodes/RemoveBackground" + ] + }, + { + "group": "배치", + "pages": [ + "ko/built-in-nodes/ImageDeduplication", + "ko/built-in-nodes/ImageFromBatch", + "ko/built-in-nodes/ImageGrid", + "ko/built-in-nodes/ImageMergeTileList", + "ko/built-in-nodes/MergeImageLists", + "ko/built-in-nodes/RebatchImages", + "ko/built-in-nodes/RepeatImageBatch", + "ko/built-in-nodes/ShuffleDataset", + "ko/built-in-nodes/ShuffleImageTextDataset", + "ko/built-in-nodes/SplitImageToTileList" + ] + }, + { + "group": "색상", + "pages": [ + "ko/built-in-nodes/ImageRGBToYUV", + "ko/built-in-nodes/ImageYUVToRGB", + "ko/built-in-nodes/NormalizeImages" + ] + }, + { + "group": "합성", + "pages": [ + "ko/built-in-nodes/ImageCompositeMasked", + "ko/built-in-nodes/JoinImageWithAlpha", + "ko/built-in-nodes/PorterDuffImageComposite", + "ko/built-in-nodes/SplitImageWithAlpha" + ] + }, + { + "group": "감지", + "pages": [ + "ko/built-in-nodes/DrawBBoxes", + "ko/built-in-nodes/MediaPipeFaceLandmarker", + "ko/built-in-nodes/MediaPipeFaceMask", + "ko/built-in-nodes/MediaPipeFaceMeshVisualize", + "ko/built-in-nodes/RTDETR_detect", + "ko/built-in-nodes/SAM3_Detect", + "ko/built-in-nodes/SAM3_TrackPreview", + "ko/built-in-nodes/SAM3_TrackToMask", + "ko/built-in-nodes/SAM3_VideoTrack", + "ko/built-in-nodes/SDPoseDrawKeypoints", + "ko/built-in-nodes/SDPoseFaceBBoxes", + "ko/built-in-nodes/SDPoseKeypointExtractor" + ] + }, + { + "group": "필터", + "pages": [ + "ko/built-in-nodes/Canny", + "ko/built-in-nodes/ColorTransfer", + "ko/built-in-nodes/ImageAddNoise", + "ko/built-in-nodes/ImageBlend", + "ko/built-in-nodes/ImageBlur", + "ko/built-in-nodes/ImageQuantize", + "ko/built-in-nodes/ImageSharpen", + "ko/built-in-nodes/Morphology" + ] + }, + { + "group": "지오메트리 추정", + "pages": [ + "ko/built-in-nodes/MoGeInference", + "ko/built-in-nodes/MoGePanoramaInference", + "ko/built-in-nodes/MoGePointMapToMesh", + "ko/built-in-nodes/MoGeRender" + ] + }, + { + "group": "마스크", + "pages": [ + "ko/built-in-nodes/BatchMasksNode", + "ko/built-in-nodes/CropMask", + "ko/built-in-nodes/FeatherMask", + "ko/built-in-nodes/GrowMask", + "ko/built-in-nodes/ImageColorToMask", + "ko/built-in-nodes/ImageToMask", + "ko/built-in-nodes/InvertMask", + "ko/built-in-nodes/MaskComposite", + "ko/built-in-nodes/MaskPreview", + "ko/built-in-nodes/MaskToImage", + "ko/built-in-nodes/SolidMask", + "ko/built-in-nodes/ThresholdMask", + "ko/built-in-nodes/VOIDQuadmaskPreprocess" + ] + }, + { + "group": "셰이더", + "pages": [ + "ko/built-in-nodes/GLSLShader" + ] + }, + { + "group": "변환", + "pages": [ + "ko/built-in-nodes/CenterCropImages", + "ko/built-in-nodes/CropByBBoxes", + "ko/built-in-nodes/ImageCrop", + "ko/built-in-nodes/ImageCropV2", + "ko/built-in-nodes/ImageFlip", + "ko/built-in-nodes/ImagePadForOutpaint", + "ko/built-in-nodes/ImageRotate", + "ko/built-in-nodes/ImageStitch", + "ko/built-in-nodes/RandomCropImages", + "ko/built-in-nodes/ResizeAndPadImage", + "ko/built-in-nodes/ResizeImagesByLongerEdge", + "ko/built-in-nodes/ResizeImagesByShorterEdge" + ] + }, + { + "group": "업스케일링", + "pages": [ + "ko/built-in-nodes/ImageScale", + "ko/built-in-nodes/ImageScaleBy", + "ko/built-in-nodes/ImageScaleToMaxDimension", + "ko/built-in-nodes/ImageScaleToTotalPixels", + "ko/built-in-nodes/ImageUpscaleWithModel" + ] + }, + { + "group": "비디오", + "pages": [ + "ko/built-in-nodes/WanDancerPadKeyframes", + "ko/built-in-nodes/WanDancerPadKeyframesList" + ] + }, + "ko/built-in-nodes/BatchImagesNode", + "ko/built-in-nodes/ConditioningCombine", + "ko/built-in-nodes/EmptyImage", + "ko/built-in-nodes/GetImageSize", + "ko/built-in-nodes/ImageBatch", + "ko/built-in-nodes/ImageCompare", + "ko/built-in-nodes/ImageInvert", + "ko/built-in-nodes/LoadImage", + "ko/built-in-nodes/LoadImageDataSetFromFolder", + "ko/built-in-nodes/LoadImageMask", + "ko/built-in-nodes/LoadImageOutput", + "ko/built-in-nodes/LoadImageSetFromFolderNode", + "ko/built-in-nodes/LoadImageSetNode", + "ko/built-in-nodes/LoadImageTextDataSetFromFolder", + "ko/built-in-nodes/LoadImageTextSetFromFolderNode", + "ko/built-in-nodes/LoraLoader", + "ko/built-in-nodes/LoraLoaderModelOnly", + "ko/built-in-nodes/Painter", + "ko/built-in-nodes/PreviewImage", + "ko/built-in-nodes/ResizeImageMaskNode", + "ko/built-in-nodes/SaveAnimatedPNG", + "ko/built-in-nodes/SaveAnimatedWEBP", + "ko/built-in-nodes/SaveImage", + "ko/built-in-nodes/SaveImageAdvanced", + "ko/built-in-nodes/SaveImageDataSetToFolder", + "ko/built-in-nodes/SaveImageTextDataSetToFolder", + "ko/built-in-nodes/SaveSVGNode", + "ko/built-in-nodes/WebcamCapture" ] }, { - "group": "ローダー", + "group": "로더", "pages": [ - "ja/built-in-nodes/ControlNetLoader" + "ko/built-in-nodes/ControlNetLoader" ] }, { - "group": "上級", + "group": "모델", "pages": [ { - "group": "Conditioning", + "group": "컨디셔닝", "pages": [ { - "group": "Audio", + "group": "3D Models", "pages": [ - "ja/built-in-nodes/ReferenceTimbreAudio" + "ko/built-in-nodes/Hunyuan3Dv2Conditioning", + "ko/built-in-nodes/Hunyuan3Dv2ConditioningMultiView", + "ko/built-in-nodes/StableZero123_Conditioning", + "ko/built-in-nodes/StableZero123_Conditioning_Batched", + "ko/built-in-nodes/SV3D_Conditioning" ] }, { - "group": "Edit Models", + "group": "오디오", "pages": [ - "ja/built-in-nodes/ReferenceLatent" + "ko/built-in-nodes/LTXVReferenceAudio" + ] + }, + { + "group": "Controlnet", + "pages": [ + "ko/built-in-nodes/ControlNetApply", + "ko/built-in-nodes/ControlNetApplyAdvanced", + "ko/built-in-nodes/ControlNetApplySD3", + "ko/built-in-nodes/ControlNetInpaintingAliMamaApply", + "ko/built-in-nodes/SetUnionControlNetType" + ] + }, + { + "group": "Gligen", + "pages": [ + "ko/built-in-nodes/GLIGENTextBoxApply" + ] + }, + { + "group": "이미지", + "pages": [ + "ko/built-in-nodes/HiDreamO1ReferenceImages" + ] + }, + { + "group": "인페인팅", + "pages": [ + "ko/built-in-nodes/CosmosImageToVideoLatent", + "ko/built-in-nodes/CosmosPredict2ImageToVideoLatent", + "ko/built-in-nodes/InpaintModelConditioning", + "ko/built-in-nodes/Wan22ImageToVideoLatent" + ] + }, + { + "group": "Instructpix2Pix", + "pages": [ + "ko/built-in-nodes/InstructPixToPixConditioning" + ] + }, + { + "group": "Lotus", + "pages": [ + "ko/built-in-nodes/LotusConditioning" + ] + }, + { + "group": "Stable Cascade", + "pages": [ + "ko/built-in-nodes/StableCascade_StageB_Conditioning" + ] + }, + { + "group": "스타일 모델", + "pages": [ + "ko/built-in-nodes/StyleModelApply" + ] + }, + { + "group": "업스케일 디퓨전", + "pages": [ + "ko/built-in-nodes/SD_4XUpscale_Conditioning" + ] + }, + { + "group": "비디오 모델", + "pages": [ + "ko/built-in-nodes/ARVideoI2V", + "ko/built-in-nodes/GenerateTracks", + "ko/built-in-nodes/GetICLoRAParameters", + "ko/built-in-nodes/HunyuanImageToVideo", + "ko/built-in-nodes/HunyuanRefinerLatent", + "ko/built-in-nodes/HunyuanVideo15ImageToVideo", + "ko/built-in-nodes/HunyuanVideo15SuperResolution", + "ko/built-in-nodes/Kandinsky5ImageToVideo", + "ko/built-in-nodes/LTXVAddGuide", + "ko/built-in-nodes/LTXVConditioning", + "ko/built-in-nodes/LTXVCropGuides", + "ko/built-in-nodes/LTXVImgToVideo", + "ko/built-in-nodes/LTXVImgToVideoInplace", + "ko/built-in-nodes/NormalizeVideoLatentStart", + "ko/built-in-nodes/VOIDInpaintConditioning", + "ko/built-in-nodes/Wan22FunControlToVideo", + "ko/built-in-nodes/WanAnimateToVideo", + "ko/built-in-nodes/WanCameraEmbedding", + "ko/built-in-nodes/WanCameraImageToVideo", + "ko/built-in-nodes/WanDancerEncodeAudio", + "ko/built-in-nodes/WanDancerVideo", + "ko/built-in-nodes/WanFirstLastFrameToVideo", + "ko/built-in-nodes/WanFunControlToVideo", + "ko/built-in-nodes/WanFunInpaintToVideo", + "ko/built-in-nodes/WanHuMoImageToVideo", + "ko/built-in-nodes/WanImageToVideo", + "ko/built-in-nodes/WanInfiniteTalkToVideo", + "ko/built-in-nodes/WanMoveConcatTrack", + "ko/built-in-nodes/WanMoveTracksFromCoords", + "ko/built-in-nodes/WanMoveTrackToVideo", + "ko/built-in-nodes/WanMoveVisualizeTracks", + "ko/built-in-nodes/WanPhantomSubjectToVideo", + "ko/built-in-nodes/WanSCAILToVideo", + "ko/built-in-nodes/WanSoundImageToVideo", + "ko/built-in-nodes/WanSoundImageToVideoExtend", + "ko/built-in-nodes/WanTrackToVideo", + "ko/built-in-nodes/WanVaceToVideo" + ] + }, + "ko/built-in-nodes/AudioEncoderEncode", + "ko/built-in-nodes/ClipSetLastLayer", + "ko/built-in-nodes/ClipTextEncode", + "ko/built-in-nodes/ClipTextEncodeLumina2", + "ko/built-in-nodes/ClipVisionEncode", + "ko/built-in-nodes/ConditioningConcat", + "ko/built-in-nodes/ConditioningSetArea", + "ko/built-in-nodes/ConditioningSetAreaPercentage", + "ko/built-in-nodes/ConditioningSetAreaPercentageVideo", + "ko/built-in-nodes/ConditioningSetAreaStrength", + "ko/built-in-nodes/ConditioningSetMask", + "ko/built-in-nodes/ConditioningStableAudio", + "ko/built-in-nodes/TextEncodeAceStepAudio", + "ko/built-in-nodes/TextEncodeAceStepAudio1.5", + "ko/built-in-nodes/unCLIPConditioning" + ] + }, + { + "group": "잠재", + "pages": [ + { + "group": "3D", + "pages": [ + "ko/built-in-nodes/EmptyLatentHunyuan3Dv2", + "ko/built-in-nodes/VAEDecodeHunyuan3D" ] }, { - "group": "Flux", + "group": "고급", "pages": [ - "ja/built-in-nodes/ClipTextEncodeFlux", - "ja/built-in-nodes/FluxDisableGuidance", - "ja/built-in-nodes/FluxGuidance", - "ja/built-in-nodes/FluxKontextImageScale", - "ja/built-in-nodes/FluxKontextMultiReferenceLatentMethod" + { + "group": "연산", + "pages": [ + "ko/built-in-nodes/LatentApplyOperation", + "ko/built-in-nodes/LatentApplyOperationCFG", + "ko/built-in-nodes/LatentOperationSharpen", + "ko/built-in-nodes/LatentOperationTonemapReinhard" + ] + }, + "ko/built-in-nodes/LatentAdd", + "ko/built-in-nodes/LatentBatchSeedBehavior", + "ko/built-in-nodes/LatentConcat", + "ko/built-in-nodes/LatentCut", + "ko/built-in-nodes/LatentCutToBatch", + "ko/built-in-nodes/LatentInterpolate", + "ko/built-in-nodes/LatentMultiply", + "ko/built-in-nodes/LatentSubtract" ] }, { - "group": "Kandinsky5", + "group": "오디오", "pages": [ - "ja/built-in-nodes/CLIPTextEncodeKandinsky5" + "ko/built-in-nodes/EmptyAceStep1.5LatentAudio", + "ko/built-in-nodes/EmptyAceStepLatentAudio", + "ko/built-in-nodes/EmptyLatentAudio", + "ko/built-in-nodes/LTXVAudioVAEDecode", + "ko/built-in-nodes/LTXVAudioVAEEncode", + "ko/built-in-nodes/LTXVEmptyLatentAudio", + "ko/built-in-nodes/VAEDecodeAudio", + "ko/built-in-nodes/VAEDecodeAudioTiled", + "ko/built-in-nodes/VAEEncodeAudio" ] }, - "ja/built-in-nodes/CLIPTextEncodeHiDream", - "ja/built-in-nodes/ClipTextEncodeHunyuanDit", - "ja/built-in-nodes/CLIPTextEncodePixArtAlpha", - "ja/built-in-nodes/CLIPTextEncodeSD3", - "ja/built-in-nodes/ClipTextEncodeSdxl", - "ja/built-in-nodes/ClipTextEncodeSdxlRefiner", - "ja/built-in-nodes/ConditioningSetTimestepRange", - "ja/built-in-nodes/ConditioningZeroOut", - "ja/built-in-nodes/PiDConditioning", - "ja/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo", - "ja/built-in-nodes/TextEncodeQwenImageEdit", - "ja/built-in-nodes/TextEncodeQwenImageEditPlus", - "ja/built-in-nodes/TextEncodeZImageOmni" - ] - }, - { - "group": "Debug", - "pages": [ { - "group": "Model", + "group": "배치", "pages": [ - "ja/built-in-nodes/EasyCache", - "ja/built-in-nodes/LazyCache", - "ja/built-in-nodes/ModelComputeDtype" + "ko/built-in-nodes/LatentBatch", + "ko/built-in-nodes/LatentFromBatch", + "ko/built-in-nodes/RebatchLatents", + "ko/built-in-nodes/RepeatLatentBatch", + "ko/built-in-nodes/ReplaceVideoLatentFrames" ] - } - ] - }, - { - "group": "Guidance", - "pages": [ - "ja/built-in-nodes/CFGNorm", - "ja/built-in-nodes/CFGZeroStar", - "ja/built-in-nodes/NAGuidance", - "ja/built-in-nodes/SkipLayerGuidanceDiT", - "ja/built-in-nodes/SkipLayerGuidanceDiTSimple", - "ja/built-in-nodes/SkipLayerGuidanceSD3", - "ja/built-in-nodes/TCFG" - ] - }, - { - "group": "Hooks", - "pages": [ + }, { - "group": "Clip", + "group": "Chroma Radiance", "pages": [ - "ja/built-in-nodes/SetClipHooks" + "ko/built-in-nodes/EmptyChromaRadianceLatentImage" ] }, { - "group": "Combine", + "group": "이미지", "pages": [ - "ja/built-in-nodes/CombineHooks", - "ja/built-in-nodes/CombineHooksEight", - "ja/built-in-nodes/CombineHooksFour" + "ko/built-in-nodes/EmptyHiDreamO1LatentImage" ] }, { - "group": "Cond Pair", + "group": "인페인팅", "pages": [ - "ja/built-in-nodes/PairConditioningCombine", - "ja/built-in-nodes/PairConditioningSetDefaultAndCombine", - "ja/built-in-nodes/PairConditioningSetProperties", - "ja/built-in-nodes/PairConditioningSetPropertiesAndCombine" + "ko/built-in-nodes/SetLatentNoiseMask", + "ko/built-in-nodes/VAEEncodeForInpaint" ] }, { - "group": "Cond Single", + "group": "Qwen", "pages": [ - "ja/built-in-nodes/ConditioningSetDefaultAndCombine", - "ja/built-in-nodes/ConditioningSetProperties", - "ja/built-in-nodes/ConditioningSetPropertiesAndCombine" + "ko/built-in-nodes/EmptyQwenImageLayeredLatentImage" ] }, { - "group": "Create", + "group": "Sd3", "pages": [ - "ja/built-in-nodes/CreateHookLora", - "ja/built-in-nodes/CreateHookLoraModelOnly", - "ja/built-in-nodes/CreateHookModelAsLora", - "ja/built-in-nodes/CreateHookModelAsLoraModelOnly" + "ko/built-in-nodes/EmptySD3LatentImage" ] }, { - "group": "Manual", + "group": "Stable Cascade", "pages": [ - "ja/built-in-nodes/SetModelHooksOnCond" + "ko/built-in-nodes/StableCascade_EmptyLatentImage", + "ko/built-in-nodes/StableCascade_StageC_VAEEncode" ] }, { - "group": "Scheduling", + "group": "변환", "pages": [ - "ja/built-in-nodes/CreateHookKeyframe", - "ja/built-in-nodes/CreateHookKeyframesFromFloats", - "ja/built-in-nodes/CreateHookKeyframesInterpolated", - "ja/built-in-nodes/SetHookKeyframes" + "ko/built-in-nodes/LatentCrop", + "ko/built-in-nodes/LatentFlip", + "ko/built-in-nodes/LatentRotate" ] }, - "ja/built-in-nodes/ConditioningTimestepsRange" - ] - }, - { - "group": "Loaders", + { + "group": "비디오", + "pages": [ + { + "group": "Ltxv", + "pages": [ + "ko/built-in-nodes/EmptyLTXVLatentVideo", + "ko/built-in-nodes/LTXVConcatAVLatent", + "ko/built-in-nodes/LTXVSeparateAVLatent" + ] + }, + "ko/built-in-nodes/EmptyARVideoLatent", + "ko/built-in-nodes/EmptyCosmosLatentVideo", + "ko/built-in-nodes/EmptyHunyuanLatentVideo", + "ko/built-in-nodes/EmptyHunyuanVideo15Latent", + "ko/built-in-nodes/EmptyMochiLatentVideo", + "ko/built-in-nodes/LTXVLatentUpsampler", + "ko/built-in-nodes/TrimVideoLatent", + "ko/built-in-nodes/VOIDWarpedNoise" + ] + }, + "ko/built-in-nodes/BatchLatentsNode", + "ko/built-in-nodes/EmptyFlux2LatentImage", + "ko/built-in-nodes/EmptyHunyuanImageLatent", + "ko/built-in-nodes/EmptyLatentImage", + "ko/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel", + "ko/built-in-nodes/LatentComposite", + "ko/built-in-nodes/LatentCompositeMasked", + "ko/built-in-nodes/LatentUpscale", + "ko/built-in-nodes/LatentUpscaleBy", + "ko/built-in-nodes/VAEDecode", + "ko/built-in-nodes/VAEEncode" + ] + }, + { + "group": "로더", + "pages": [ + "ko/built-in-nodes/AudioEncoderLoader", + "ko/built-in-nodes/CheckpointLoaderSimple", + "ko/built-in-nodes/ClipVisionLoader", + "ko/built-in-nodes/DiffControlNetLoader", + "ko/built-in-nodes/FrameInterpolationModelLoader", + "ko/built-in-nodes/GLIGENLoader", + "ko/built-in-nodes/HypernetworkLoader", + "ko/built-in-nodes/ImageOnlyCheckpointLoader", + "ko/built-in-nodes/LatentUpscaleModelLoader", + "ko/built-in-nodes/LoadBackgroundRemovalModel", + "ko/built-in-nodes/LoadMediaPipeFaceLandmarker", + "ko/built-in-nodes/LoadMoGeModel", + "ko/built-in-nodes/LoraLoaderBypass", + "ko/built-in-nodes/LoraLoaderBypassModelOnly", + "ko/built-in-nodes/LoraModelLoader", + "ko/built-in-nodes/LTXVAudioVAELoader", + "ko/built-in-nodes/OpticalFlowLoader", + "ko/built-in-nodes/StyleModelLoader", + "ko/built-in-nodes/unCLIPCheckpointLoader", + "ko/built-in-nodes/UpscaleModelLoader", + "ko/built-in-nodes/VAELoader" + ] + }, + { + "group": "패치", "pages": [ { - "group": "Deprecated", + "group": "Chroma Radiance", "pages": [ - "ja/built-in-nodes/DiffusersLoader" + "ko/built-in-nodes/ChromaRadianceOptions" ] }, { - "group": "Qwen", + "group": "Flux", "pages": [ - "ja/built-in-nodes/QwenImageDiffsynthControlnet" + "ko/built-in-nodes/USOStyleReference" ] }, { - "group": "Zimage", + "group": "Supir", "pages": [ - "ja/built-in-nodes/ZImageFunControlnet" + "ko/built-in-nodes/SUPIRApply" ] }, - "ja/built-in-nodes/CheckpointLoader", - "ja/built-in-nodes/ClipLoader", - "ja/built-in-nodes/DeprecatedCheckpointLoader", - "ja/built-in-nodes/DeprecatedDiffusersLoader", - "ja/built-in-nodes/DualCLIPLoader", - "ja/built-in-nodes/LTXAVTextEncoderLoader", - "ja/built-in-nodes/ModelPatchLoader", - "ja/built-in-nodes/QuadrupleCLIPLoader", - "ja/built-in-nodes/TripleCLIPLoader", - "ja/built-in-nodes/UNETLoader" - ] - }, - { - "group": "Model", - "pages": [ - "ja/built-in-nodes/HiDreamO1PatchSeamSmoothing", - "ja/built-in-nodes/ModelNoiseScale", - "ja/built-in-nodes/ModelSamplingAuraFlow", - "ja/built-in-nodes/ModelSamplingContinuousEDM", - "ja/built-in-nodes/ModelSamplingContinuousV", - "ja/built-in-nodes/ModelSamplingDiscrete", - "ja/built-in-nodes/ModelSamplingFlux", - "ja/built-in-nodes/ModelSamplingLTXV", - "ja/built-in-nodes/ModelSamplingSD3", - "ja/built-in-nodes/ModelSamplingStableCascade", - "ja/built-in-nodes/RenormCFG", - "ja/built-in-nodes/RescaleCFG" - ] - }, - { - "group": "Model Merging", - "pages": [ { - "group": "Model Specific", + "group": "Unet", "pages": [ - "ja/built-in-nodes/ModelMergeAuraflow", - "ja/built-in-nodes/ModelMergeCosmos14B", - "ja/built-in-nodes/ModelMergeCosmos7B", - "ja/built-in-nodes/ModelMergeCosmosPredict2_14B", - "ja/built-in-nodes/ModelMergeCosmosPredict2_2B", - "ja/built-in-nodes/ModelMergeFlux1", - "ja/built-in-nodes/ModelMergeLTXV", - "ja/built-in-nodes/ModelMergeMochiPreview", - "ja/built-in-nodes/ModelMergeQwenImage", - "ja/built-in-nodes/ModelMergeSD1", - "ja/built-in-nodes/ModelMergeSD35_Large", - "ja/built-in-nodes/ModelMergeSD3_2B", - "ja/built-in-nodes/ModelMergeSDXL", - "ja/built-in-nodes/ModelMergeWAN2_1" + "ko/built-in-nodes/Epsilon Scaling", + "ko/built-in-nodes/FreeU", + "ko/built-in-nodes/FreeU_V2", + "ko/built-in-nodes/HyperTile", + "ko/built-in-nodes/PatchModelAddDownscale", + "ko/built-in-nodes/PerturbedAttentionGuidance", + "ko/built-in-nodes/TemporalScoreRescaling", + "ko/built-in-nodes/TomePatchModel" ] - }, - "ja/built-in-nodes/CheckpointSave", - "ja/built-in-nodes/CLIPMergeAdd", - "ja/built-in-nodes/ClipMergeSimple", - "ja/built-in-nodes/CLIPMergeSubtract", - "ja/built-in-nodes/ClipSave", - "ja/built-in-nodes/ImageOnlyCheckpointSave", - "ja/built-in-nodes/ModelMergeAdd", - "ja/built-in-nodes/ModelMergeBlocks", - "ja/built-in-nodes/ModelMergeSimple", - "ja/built-in-nodes/ModelMergeSubtract", - "ja/built-in-nodes/ModelSave", - "ja/built-in-nodes/SaveLoRA", - "ja/built-in-nodes/SaveLoRANode", - "ja/built-in-nodes/VAESave" - ] - }, - { - "group": "Multigpu", - "pages": [ - "ja/built-in-nodes/MultiGPU_Options", - "ja/built-in-nodes/MultiGPU_WorkUnits", - "ja/built-in-nodes/SelectCLIPDevice", - "ja/built-in-nodes/SelectModelDevice", - "ja/built-in-nodes/SelectVAEDevice" - ] - }, - "ja/built-in-nodes/MoonvalleyImg2VideoNode", - "ja/built-in-nodes/MoonvalleyTxt2VideoNode", - "ja/built-in-nodes/MoonvalleyVideo2VideoNode" - ] - }, - { - "group": "条件付け", - "pages": [ - { - "group": "Video Models", - "pages": [ - "ja/built-in-nodes/conditioning/video-models/wan-vace-to-video", - "ja/built-in-nodes/Stablezero123Conditioning", - "ja/built-in-nodes/Stablezero123ConditioningBatched", - "ja/built-in-nodes/SVD_img2vid_Conditioning", - "ja/built-in-nodes/SvdImg2vidConditioning" - ] - }, - "ja/built-in-nodes/ConditioningAverage", - "ja/built-in-nodes/Sd4xupscaleConditioning" - ] - }, - { - "group": "潜在変数", - "pages": [ - { - "group": "Video", - "pages": [ - "ja/built-in-nodes/latent/video/trim-video-latent" - ] - } - ] - }, - { - "group": "画像", - "pages": [ - { - "group": "Adjustments", - "pages": [ - "ja/built-in-nodes/AdjustBrightness", - "ja/built-in-nodes/AdjustContrast" - ] - }, - { - "group": "Background Removal", - "pages": [ - "ja/built-in-nodes/RemoveBackground" - ] - }, - { - "group": "Batch", - "pages": [ - "ja/built-in-nodes/ImageDeduplication", - "ja/built-in-nodes/ImageFromBatch", - "ja/built-in-nodes/ImageGrid", - "ja/built-in-nodes/ImageMergeTileList", - "ja/built-in-nodes/MergeImageLists", - "ja/built-in-nodes/RebatchImages", - "ja/built-in-nodes/RepeatImageBatch", - "ja/built-in-nodes/ShuffleDataset", - "ja/built-in-nodes/ShuffleImageTextDataset", - "ja/built-in-nodes/SplitImageToTileList" - ] - }, - { - "group": "Color", - "pages": [ - "ja/built-in-nodes/ImageRGBToYUV", - "ja/built-in-nodes/ImageYUVToRGB", - "ja/built-in-nodes/NormalizeImages" - ] - }, - { - "group": "Compositing", - "pages": [ - "ja/built-in-nodes/ImageCompositeMasked", - "ja/built-in-nodes/JoinImageWithAlpha", - "ja/built-in-nodes/PorterDuffImageComposite", - "ja/built-in-nodes/SplitImageWithAlpha" + }, + "ko/built-in-nodes/ContextWindowsManual", + "ko/built-in-nodes/ScaleROPE", + "ko/built-in-nodes/WanContextWindowsManual" ] }, { - "group": "Detection", + "group": "샘플링", "pages": [ - "ja/built-in-nodes/DrawBBoxes", - "ja/built-in-nodes/MediaPipeFaceLandmarker", - "ja/built-in-nodes/MediaPipeFaceMask", - "ja/built-in-nodes/MediaPipeFaceMeshVisualize", - "ja/built-in-nodes/RTDETR_detect", - "ja/built-in-nodes/SAM3_Detect", - "ja/built-in-nodes/SAM3_TrackPreview", - "ja/built-in-nodes/SAM3_TrackToMask", - "ja/built-in-nodes/SAM3_VideoTrack", - "ja/built-in-nodes/SDPoseDrawKeypoints", - "ja/built-in-nodes/SDPoseFaceBBoxes", - "ja/built-in-nodes/SDPoseKeypointExtractor" + { + "group": "커스텀 샘플링", + "pages": [ + "ko/built-in-nodes/APG", + "ko/built-in-nodes/SamplerCustom", + "ko/built-in-nodes/SamplerCustomAdvanced" + ] + }, + { + "group": "가이더", + "pages": [ + "ko/built-in-nodes/BasicGuider", + "ko/built-in-nodes/CFGGuider", + "ko/built-in-nodes/DualCFGGuider", + "ko/built-in-nodes/DualModelGuider", + "ko/built-in-nodes/VideoLinearCFGGuidance", + "ko/built-in-nodes/VideoTriangleCFGGuidance" + ] + }, + { + "group": "노이즈", + "pages": [ + "ko/built-in-nodes/DisableNoise", + "ko/built-in-nodes/RandomNoise", + "ko/built-in-nodes/VOIDWarpedNoiseSource" + ] + }, + { + "group": "샘플러", + "pages": [ + "ko/built-in-nodes/KSamplerSelect", + "ko/built-in-nodes/SamplerARVideo", + "ko/built-in-nodes/SamplerDPMAdaptative", + "ko/built-in-nodes/SamplerDPMPP_2M_SDE", + "ko/built-in-nodes/SamplerDPMPP_2S_Ancestral", + "ko/built-in-nodes/SamplerDPMPP_3M_SDE", + "ko/built-in-nodes/SamplerDPMPP_SDE", + "ko/built-in-nodes/SamplerER_SDE", + "ko/built-in-nodes/SamplerEulerAncestral", + "ko/built-in-nodes/SamplerEulerAncestralCFGPP", + "ko/built-in-nodes/SamplerLCM", + "ko/built-in-nodes/SamplerLCMUpscale", + "ko/built-in-nodes/SamplerLMS", + "ko/built-in-nodes/SamplerSASolver", + "ko/built-in-nodes/SamplerSEEDS2", + "ko/built-in-nodes/VOIDSampler" + ] + }, + { + "group": "스케줄러", + "pages": [ + "ko/built-in-nodes/AlignYourStepsScheduler", + "ko/built-in-nodes/BasicScheduler", + "ko/built-in-nodes/BetaSamplingScheduler", + "ko/built-in-nodes/ExponentialScheduler", + "ko/built-in-nodes/Flux2Scheduler", + "ko/built-in-nodes/GITSScheduler", + "ko/built-in-nodes/KarrasScheduler", + "ko/built-in-nodes/LaplaceScheduler", + "ko/built-in-nodes/LTXVScheduler", + "ko/built-in-nodes/OptimalStepsScheduler", + "ko/built-in-nodes/PolyexponentialScheduler", + "ko/built-in-nodes/SDTurboScheduler", + "ko/built-in-nodes/VPScheduler" + ] + }, + { + "group": "시그마", + "pages": [ + "ko/built-in-nodes/ExtendIntermediateSigmas", + "ko/built-in-nodes/FlipSigmas", + "ko/built-in-nodes/SamplingPercentToSigma", + "ko/built-in-nodes/SetFirstSigma", + "ko/built-in-nodes/SplitSigmas", + "ko/built-in-nodes/SplitSigmasDenoise" + ] + }, + "ko/built-in-nodes/KSampler", + "ko/built-in-nodes/KSamplerAdvanced" ] }, { - "group": "Filters", + "group": "학습", "pages": [ - "ja/built-in-nodes/Canny", - "ja/built-in-nodes/ColorTransfer", - "ja/built-in-nodes/ImageAddNoise", - "ja/built-in-nodes/ImageBlend", - "ja/built-in-nodes/ImageBlur", - "ja/built-in-nodes/ImageQuantize", - "ja/built-in-nodes/ImageSharpen", - "ja/built-in-nodes/Morphology" + "ko/built-in-nodes/LoadTrainingDataset", + "ko/built-in-nodes/LossGraphNode", + "ko/built-in-nodes/MakeTrainingDataset", + "ko/built-in-nodes/ResolutionBucket", + "ko/built-in-nodes/SaveTrainingDataset", + "ko/built-in-nodes/TrainLoraNode" ] - }, + } + ] + }, + { + "group": "파트너", + "pages": [ { - "group": "Geometry Estimation", + "group": "3D", "pages": [ - "ja/built-in-nodes/MoGeInference", - "ja/built-in-nodes/MoGePanoramaInference", - "ja/built-in-nodes/MoGePointMapToMesh", - "ja/built-in-nodes/MoGeRender" + { + "group": "Meshy", + "pages": [ + "ko/built-in-nodes/MeshyAnimateModelNode", + "ko/built-in-nodes/MeshyImageToModelNode", + "ko/built-in-nodes/MeshyMultiImageToModelNode", + "ko/built-in-nodes/MeshyRefineNode", + "ko/built-in-nodes/MeshyRigModelNode", + "ko/built-in-nodes/MeshyTextToModelNode", + "ko/built-in-nodes/MeshyTextureNode" + ] + }, + { + "group": "Rodin", + "pages": [ + "ko/built-in-nodes/Rodin3D_Detail", + "ko/built-in-nodes/Rodin3D_Gen2", + "ko/built-in-nodes/Rodin3D_Gen25_Image", + "ko/built-in-nodes/Rodin3D_Gen25_Text", + "ko/built-in-nodes/Rodin3D_Regular", + "ko/built-in-nodes/Rodin3D_Sketch", + "ko/built-in-nodes/Rodin3D_Smooth" + ] + }, + { + "group": "Tencent", + "pages": [ + "ko/built-in-nodes/Tencent3DPartNode", + "ko/built-in-nodes/Tencent3DTextureEditNode", + "ko/built-in-nodes/TencentImageToModelNode", + "ko/built-in-nodes/TencentModelTo3DUVNode", + "ko/built-in-nodes/TencentSmartTopologyNode", + "ko/built-in-nodes/TencentTextToModelNode" + ] + }, + { + "group": "Tripo", + "pages": [ + "ko/built-in-nodes/TripoConversionNode", + "ko/built-in-nodes/TripoImageToModelNode", + "ko/built-in-nodes/TripoMultiviewToModelNode", + "ko/built-in-nodes/TripoP1ImageToModelNode", + "ko/built-in-nodes/TripoP1MultiviewToModelNode", + "ko/built-in-nodes/TripoP1TextToModelNode", + "ko/built-in-nodes/TripoRefineNode", + "ko/built-in-nodes/TripoRetargetNode", + "ko/built-in-nodes/TripoRigNode", + "ko/built-in-nodes/TripoTextToModelNode", + "ko/built-in-nodes/TripoTextureNode" + ] + } ] }, { - "group": "Mask", + "group": "오디오", "pages": [ - "ja/built-in-nodes/BatchMasksNode", - "ja/built-in-nodes/CropMask", - "ja/built-in-nodes/FeatherMask", - "ja/built-in-nodes/GrowMask", - "ja/built-in-nodes/ImageColorToMask", - "ja/built-in-nodes/ImageToMask", - "ja/built-in-nodes/InvertMask", - "ja/built-in-nodes/MaskComposite", - "ja/built-in-nodes/MaskPreview", - "ja/built-in-nodes/MaskToImage", - "ja/built-in-nodes/SolidMask", - "ja/built-in-nodes/ThresholdMask", - "ja/built-in-nodes/VOIDQuadmaskPreprocess" + { + "group": "Elevenlabs", + "pages": [ + "ko/built-in-nodes/ElevenLabsAudioIsolation", + "ko/built-in-nodes/ElevenLabsInstantVoiceClone", + "ko/built-in-nodes/ElevenLabsSpeechToSpeech", + "ko/built-in-nodes/ElevenLabsSpeechToText", + "ko/built-in-nodes/ElevenLabsTextToDialogue", + "ko/built-in-nodes/ElevenLabsTextToSoundEffects", + "ko/built-in-nodes/ElevenLabsTextToSpeech", + "ko/built-in-nodes/ElevenLabsVoiceSelector" + ] + }, + { + "group": "Sonilo", + "pages": [ + "ko/built-in-nodes/SoniloTextToMusic", + "ko/built-in-nodes/SoniloVideoToMusic" + ] + }, + { + "group": "Stability Ai", + "pages": [ + "ko/built-in-nodes/StabilityAudioInpaint", + "ko/built-in-nodes/StabilityAudioToAudio", + "ko/built-in-nodes/StabilityTextToAudio" + ] + } ] }, { - "group": "Partner", + "group": "이미지", "pages": [ { "group": "Beeble", "pages": [ - "ja/built-in-nodes/BeebleSwitchXImageEdit" + "ko/built-in-nodes/BeebleSwitchXImageEdit" ] }, { "group": "Bfl", "pages": [ - "ja/built-in-nodes/Flux2ImageNode", - "ja/built-in-nodes/FluxProExpandNode", - "ja/built-in-nodes/FluxProFillNode", - "ja/built-in-nodes/FluxProUltraImageNode" + "ko/built-in-nodes/Flux2ImageNode", + "ko/built-in-nodes/FluxEraseNode", + "ko/built-in-nodes/FluxProExpandNode", + "ko/built-in-nodes/FluxProFillNode", + "ko/built-in-nodes/FluxProUltraImageNode", + "ko/built-in-nodes/FluxVTONode" ] }, { "group": "Bria", "pages": [ - "ja/built-in-nodes/BriaImageEditNode", - "ja/built-in-nodes/BriaRemoveImageBackground" + "ko/built-in-nodes/BriaImageEditNode", + "ko/built-in-nodes/BriaRemoveImageBackground" ] }, { "group": "Bytedance", "pages": [ - "ja/built-in-nodes/ByteDanceCreateImageAsset", - "ja/built-in-nodes/ByteDanceImageNode", - "ja/built-in-nodes/ByteDanceSeedreamNode", - "ja/built-in-nodes/ByteDanceSeedreamNodeV2" + "ko/built-in-nodes/ByteDanceCreateImageAsset", + "ko/built-in-nodes/ByteDanceImageNode", + "ko/built-in-nodes/ByteDanceSeedreamNode", + "ko/built-in-nodes/ByteDanceSeedreamNodeV2" ] }, { "group": "Gemini", "pages": [ - "ja/built-in-nodes/GeminiImage2Node", - "ja/built-in-nodes/GeminiImageNode", - "ja/built-in-nodes/GeminiNanoBanana2", - "ja/built-in-nodes/GeminiNanoBanana2V2" + "ko/built-in-nodes/GeminiImage2Node", + "ko/built-in-nodes/GeminiImageNode", + "ko/built-in-nodes/GeminiNanoBanana2", + "ko/built-in-nodes/GeminiNanoBanana2V2" ] }, { "group": "Grok", "pages": [ - "ja/built-in-nodes/GrokImageEditNode", - "ja/built-in-nodes/GrokImageEditNodeV2", - "ja/built-in-nodes/GrokImageNode" + "ko/built-in-nodes/GrokImageEditNode", + "ko/built-in-nodes/GrokImageEditNodeV2", + "ko/built-in-nodes/GrokImageNode" ] }, { "group": "Hitpaw", "pages": [ - "ja/built-in-nodes/HitPawGeneralImageEnhance" + "ko/built-in-nodes/HitPawGeneralImageEnhance" ] }, { "group": "Ideogram", "pages": [ - "ja/built-in-nodes/IdeogramV1", - "ja/built-in-nodes/IdeogramV2", - "ja/built-in-nodes/IdeogramV3" + "ko/built-in-nodes/IdeogramV1", + "ko/built-in-nodes/IdeogramV2", + "ko/built-in-nodes/IdeogramV3", + "ko/built-in-nodes/IdeogramV4" ] }, { "group": "Kling", "pages": [ - "ja/built-in-nodes/KlingImageGenerationNode", - "ja/built-in-nodes/KlingOmniProImageNode", - "ja/built-in-nodes/KlingVirtualTryOnNode" + "ko/built-in-nodes/KlingImageGenerationNode", + "ko/built-in-nodes/KlingOmniProImageNode", + "ko/built-in-nodes/KlingVirtualTryOnNode" ] }, { "group": "Krea", "pages": [ - "ja/built-in-nodes/Krea2ImageNode", - "ja/built-in-nodes/Krea2StyleReferenceNode" + "ko/built-in-nodes/Krea2ImageNode", + "ko/built-in-nodes/Krea2StyleReferenceNode" ] }, { "group": "Luma", "pages": [ - "ja/built-in-nodes/LumaImageEditNode2", - "ja/built-in-nodes/LumaImageModifyNode", - "ja/built-in-nodes/LumaImageNode", - "ja/built-in-nodes/LumaImageNode2", - "ja/built-in-nodes/LumaReferenceNode" + "ko/built-in-nodes/LumaImageEditNode2", + "ko/built-in-nodes/LumaImageModifyNode", + "ko/built-in-nodes/LumaImageNode", + "ko/built-in-nodes/LumaImageNode2", + "ko/built-in-nodes/LumaReferenceNode" ] }, { "group": "Magnific", "pages": [ - "ja/built-in-nodes/MagnificImageRelightNode", - "ja/built-in-nodes/MagnificImageSkinEnhancerNode", - "ja/built-in-nodes/MagnificImageStyleTransferNode", - "ja/built-in-nodes/MagnificImageUpscalerCreativeNode", - "ja/built-in-nodes/MagnificImageUpscalerPreciseV2Node" + "ko/built-in-nodes/MagnificImageRelightNode", + "ko/built-in-nodes/MagnificImageSkinEnhancerNode", + "ko/built-in-nodes/MagnificImageStyleTransferNode", + "ko/built-in-nodes/MagnificImageUpscalerCreativeNode", + "ko/built-in-nodes/MagnificImageUpscalerPreciseV2Node" + ] + }, + { + "group": "Openai", + "pages": [ + "ko/built-in-nodes/OpenAIDalle2", + "ko/built-in-nodes/OpenAIDalle3", + "ko/built-in-nodes/OpenAIGPTImage1", + "ko/built-in-nodes/OpenAIGPTImageNodeV2" + ] + }, + { + "group": "Quiver", + "pages": [ + "ko/built-in-nodes/QuiverImageToSVGNode", + "ko/built-in-nodes/QuiverTextToSVGNode" + ] + }, + { + "group": "Recraft", + "pages": [ + "ko/built-in-nodes/RecraftColorRGB", + "ko/built-in-nodes/RecraftControls", + "ko/built-in-nodes/RecraftCreateStyleNode", + "ko/built-in-nodes/RecraftCreativeUpscaleNode", + "ko/built-in-nodes/RecraftCrispUpscaleNode", + "ko/built-in-nodes/RecraftImageInpaintingNode", + "ko/built-in-nodes/RecraftImageToImageNode", + "ko/built-in-nodes/RecraftRemoveBackgroundNode", + "ko/built-in-nodes/RecraftReplaceBackgroundNode", + "ko/built-in-nodes/RecraftStyleV3DigitalIllustration", + "ko/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", + "ko/built-in-nodes/RecraftStyleV3LogoRaster", + "ko/built-in-nodes/RecraftStyleV3RealisticImage", + "ko/built-in-nodes/RecraftStyleV3VectorIllustrationNode", + "ko/built-in-nodes/RecraftTextToImageNode", + "ko/built-in-nodes/RecraftTextToVectorNode", + "ko/built-in-nodes/RecraftV4TextToImageNode", + "ko/built-in-nodes/RecraftV4TextToVectorNode", + "ko/built-in-nodes/RecraftVectorizeImageNode" + ] + }, + { + "group": "Reve", + "pages": [ + "ko/built-in-nodes/ReveImageCreateNode", + "ko/built-in-nodes/ReveImageEditNode", + "ko/built-in-nodes/ReveImageRemixNode" + ] + }, + { + "group": "Runway", + "pages": [ + "ko/built-in-nodes/RunwayTextToImageNode" + ] + }, + { + "group": "Stability Ai", + "pages": [ + "ko/built-in-nodes/StabilityStableImageSD_3_5Node", + "ko/built-in-nodes/StabilityStableImageUltraNode", + "ko/built-in-nodes/StabilityUpscaleConservativeNode", + "ko/built-in-nodes/StabilityUpscaleCreativeNode", + "ko/built-in-nodes/StabilityUpscaleFastNode" + ] + }, + { + "group": "Topaz", + "pages": [ + "ko/built-in-nodes/TopazImageEnhance" + ] + }, + { + "group": "Wan", + "pages": [ + "ko/built-in-nodes/WanImageToImageApi", + "ko/built-in-nodes/WanTextToImageApi" + ] + }, + { + "group": "Wavespeed", + "pages": [ + "ko/built-in-nodes/WavespeedImageUpscaleNode" + ] + } + ] + }, + { + "group": "텍스트", + "pages": [ + { + "group": "Anthropic", + "pages": [ + "ko/built-in-nodes/ClaudeNode" + ] + }, + { + "group": "Bytedance", + "pages": [ + "ko/built-in-nodes/ByteDanceSeedNode" + ] + }, + { + "group": "Gemini", + "pages": [ + "ko/built-in-nodes/GeminiInputFiles", + "ko/built-in-nodes/GeminiNode" + ] + }, + { + "group": "Openai", + "pages": [ + "ko/built-in-nodes/OpenAIChatConfig", + "ko/built-in-nodes/OpenAIChatNode", + "ko/built-in-nodes/OpenAIInputFiles" + ] + }, + { + "group": "Openrouter", + "pages": [ + "ko/built-in-nodes/OpenRouterLLMNode" + ] + } + ] + }, + { + "group": "비디오", + "pages": [ + { + "group": "Beeble", + "pages": [ + "ko/built-in-nodes/BeebleSwitchXVideoEdit" + ] + }, + { + "group": "Bria", + "pages": [ + "ko/built-in-nodes/BriaRemoveVideoBackground", + "ko/built-in-nodes/BriaTransparentVideoBackground", + "ko/built-in-nodes/BriaVideoGreenScreen", + "ko/built-in-nodes/BriaVideoReplaceBackground" + ] + }, + { + "group": "Bytedance", + "pages": [ + "ko/built-in-nodes/ByteDance2FirstLastFrameNode", + "ko/built-in-nodes/ByteDance2ReferenceNode", + "ko/built-in-nodes/ByteDance2TextToVideoNode", + "ko/built-in-nodes/ByteDanceCreateVideoAsset", + "ko/built-in-nodes/ByteDanceFirstLastFrameNode", + "ko/built-in-nodes/ByteDanceImageReferenceNode", + "ko/built-in-nodes/ByteDanceImageToVideoNode", + "ko/built-in-nodes/ByteDanceTextToVideoNode" + ] + }, + { + "group": "Grok", + "pages": [ + "ko/built-in-nodes/GrokVideoEditNode", + "ko/built-in-nodes/GrokVideoExtendNode", + "ko/built-in-nodes/GrokVideoNode", + "ko/built-in-nodes/GrokVideoReferenceNode" + ] + }, + { + "group": "Hitpaw", + "pages": [ + "ko/built-in-nodes/HitPawVideoEnhance" + ] + }, + { + "group": "Kling", + "pages": [ + "ko/built-in-nodes/KlingAvatarNode", + "ko/built-in-nodes/KlingCameraControlI2VNode", + "ko/built-in-nodes/KlingCameraControls", + "ko/built-in-nodes/KlingCameraControlT2VNode", + "ko/built-in-nodes/KlingDualCharacterVideoEffectNode", + "ko/built-in-nodes/KlingFirstLastFrameNode", + "ko/built-in-nodes/KlingImage2VideoNode", + "ko/built-in-nodes/KlingImageToVideoWithAudio", + "ko/built-in-nodes/KlingLipSyncAudioToVideoNode", + "ko/built-in-nodes/KlingLipSyncTextToVideoNode", + "ko/built-in-nodes/KlingMotionControl", + "ko/built-in-nodes/KlingOmniProEditVideoNode", + "ko/built-in-nodes/KlingOmniProFirstLastFrameNode", + "ko/built-in-nodes/KlingOmniProImageToVideoNode", + "ko/built-in-nodes/KlingOmniProTextToVideoNode", + "ko/built-in-nodes/KlingOmniProVideoToVideoNode", + "ko/built-in-nodes/KlingSingleImageVideoEffectNode", + "ko/built-in-nodes/KlingStartEndFrameNode", + "ko/built-in-nodes/KlingTextToVideoNode", + "ko/built-in-nodes/KlingTextToVideoWithAudio", + "ko/built-in-nodes/KlingVideoExtendNode", + "ko/built-in-nodes/KlingVideoNode" + ] + }, + { + "group": "Ltxv", + "pages": [ + "ko/built-in-nodes/LtxvApiImageToVideo", + "ko/built-in-nodes/LtxvApiTextToVideo" + ] + }, + { + "group": "Luma", + "pages": [ + "ko/built-in-nodes/LumaConceptsNode", + "ko/built-in-nodes/LumaImageToVideoNode", + "ko/built-in-nodes/LumaVideoNode" ] }, { - "group": "Openai", + "group": "Minimax", "pages": [ - "ja/built-in-nodes/OpenAIDalle2", - "ja/built-in-nodes/OpenAIDalle3", - "ja/built-in-nodes/OpenAIGPTImage1", - "ja/built-in-nodes/OpenAIGPTImageNodeV2" + "ko/built-in-nodes/MinimaxHailuoVideoNode", + "ko/built-in-nodes/MinimaxImageToVideoNode", + "ko/built-in-nodes/MinimaxSubjectToVideoNode", + "ko/built-in-nodes/MinimaxTextToVideoNode" ] }, { - "group": "Quiver", + "group": "Pixverse", "pages": [ - "ja/built-in-nodes/QuiverImageToSVGNode", - "ja/built-in-nodes/QuiverTextToSVGNode" + "ko/built-in-nodes/PixverseImageToVideoNode", + "ko/built-in-nodes/PixverseTemplateNode", + "ko/built-in-nodes/PixverseTextToVideoNode", + "ko/built-in-nodes/PixverseTransitionVideoNode" ] }, { - "group": "Recraft", + "group": "Runway", "pages": [ - "ja/built-in-nodes/RecraftColorRGB", - "ja/built-in-nodes/RecraftControls", - "ja/built-in-nodes/RecraftCreateStyleNode", - "ja/built-in-nodes/RecraftCreativeUpscaleNode", - "ja/built-in-nodes/RecraftCrispUpscaleNode", - "ja/built-in-nodes/RecraftImageInpaintingNode", - "ja/built-in-nodes/RecraftImageToImageNode", - "ja/built-in-nodes/RecraftRemoveBackgroundNode", - "ja/built-in-nodes/RecraftReplaceBackgroundNode", - "ja/built-in-nodes/RecraftStyleV3DigitalIllustration", - "ja/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", - "ja/built-in-nodes/RecraftStyleV3LogoRaster", - "ja/built-in-nodes/RecraftStyleV3RealisticImage", - "ja/built-in-nodes/RecraftStyleV3VectorIllustrationNode", - "ja/built-in-nodes/RecraftTextToImageNode", - "ja/built-in-nodes/RecraftTextToVectorNode", - "ja/built-in-nodes/RecraftV4TextToImageNode", - "ja/built-in-nodes/RecraftV4TextToVectorNode", - "ja/built-in-nodes/RecraftVectorizeImageNode" + "ko/built-in-nodes/RunwayFirstLastFrameNode", + "ko/built-in-nodes/RunwayImageToVideoNodeGen3a", + "ko/built-in-nodes/RunwayImageToVideoNodeGen4" ] }, { - "group": "Reve", + "group": "Sora", "pages": [ - "ja/built-in-nodes/ReveImageCreateNode", - "ja/built-in-nodes/ReveImageEditNode", - "ja/built-in-nodes/ReveImageRemixNode" + "ko/built-in-nodes/OpenAIVideoSora2" ] }, { - "group": "Runway", + "group": "Topaz", "pages": [ - "ja/built-in-nodes/RunwayTextToImageNode" + "ko/built-in-nodes/TopazVideoEnhance", + "ko/built-in-nodes/TopazVideoEnhanceV2" ] }, { - "group": "Stability Ai", + "group": "Veo", "pages": [ - "ja/built-in-nodes/StabilityStableImageSD_3_5Node", - "ja/built-in-nodes/StabilityStableImageUltraNode", - "ja/built-in-nodes/StabilityUpscaleConservativeNode", - "ja/built-in-nodes/StabilityUpscaleCreativeNode", - "ja/built-in-nodes/StabilityUpscaleFastNode" + "ko/built-in-nodes/Veo3FirstLastFrameNode", + "ko/built-in-nodes/Veo3VideoGenerationNode", + "ko/built-in-nodes/VeoVideoGenerationNode" ] }, { - "group": "Topaz", + "group": "Vidu", "pages": [ - "ja/built-in-nodes/TopazImageEnhance" + "ko/built-in-nodes/Vidu2ImageToVideoNode", + "ko/built-in-nodes/Vidu2ReferenceVideoNode", + "ko/built-in-nodes/Vidu2StartEndToVideoNode", + "ko/built-in-nodes/Vidu2TextToVideoNode", + "ko/built-in-nodes/Vidu3ImageToVideoNode", + "ko/built-in-nodes/Vidu3StartEndToVideoNode", + "ko/built-in-nodes/Vidu3TextToVideoNode", + "ko/built-in-nodes/ViduExtendVideoNode", + "ko/built-in-nodes/ViduImageToVideoNode", + "ko/built-in-nodes/ViduMultiFrameVideoNode", + "ko/built-in-nodes/ViduReferenceVideoNode", + "ko/built-in-nodes/ViduStartEndToVideoNode", + "ko/built-in-nodes/ViduTextToVideoNode" ] }, { "group": "Wan", "pages": [ - "ja/built-in-nodes/WanImageToImageApi", - "ja/built-in-nodes/WanTextToImageApi" + "ko/built-in-nodes/HappyHorseImageToVideoApi", + "ko/built-in-nodes/HappyHorseReferenceVideoApi", + "ko/built-in-nodes/HappyHorseTextToVideoApi", + "ko/built-in-nodes/HappyHorseVideoEditApi", + "ko/built-in-nodes/Wan2ImageToVideoApi", + "ko/built-in-nodes/Wan2ReferenceVideoApi", + "ko/built-in-nodes/Wan2TextToVideoApi", + "ko/built-in-nodes/Wan2VideoContinuationApi", + "ko/built-in-nodes/Wan2VideoEditApi", + "ko/built-in-nodes/WanImageToVideoApi", + "ko/built-in-nodes/WanReferenceVideoApi", + "ko/built-in-nodes/WanTextToVideoApi" ] }, { "group": "Wavespeed", "pages": [ - "ja/built-in-nodes/WavespeedImageUpscaleNode" + "ko/built-in-nodes/WavespeedFlashVSRNode" ] } ] - }, + } + ] + }, + { + "group": "샘플링", + "pages": [ { - "group": "Shader", + "group": "커스텀 샘플링", "pages": [ - "ja/built-in-nodes/GLSLShader" + { + "group": "샘플러", + "pages": [ + "ko/built-in-nodes/SamplerDpmpp2mSde", + "ko/built-in-nodes/SamplerDpmppSde" + ] + }, + { + "group": "스케줄러", + "pages": [ + "ko/built-in-nodes/Ideogram4Scheduler" + ] + }, + "ko/built-in-nodes/CFGOverride" ] - }, + } + ] + }, + { + "group": "텍스트", + "pages": [ + "ko/built-in-nodes/AddTextPrefix", + "ko/built-in-nodes/AddTextSuffix", + "ko/built-in-nodes/CaseConverter", + "ko/built-in-nodes/JsonExtractString", + "ko/built-in-nodes/MergeTextLists", + "ko/built-in-nodes/RegexExtract", + "ko/built-in-nodes/RegexMatch", + "ko/built-in-nodes/RegexReplace", + "ko/built-in-nodes/ReplaceText", + "ko/built-in-nodes/StringCompare", + "ko/built-in-nodes/StringConcatenate", + "ko/built-in-nodes/StringContains", + "ko/built-in-nodes/StringFormat", + "ko/built-in-nodes/StringLength", + "ko/built-in-nodes/StringReplace", + "ko/built-in-nodes/StringSubstring", + "ko/built-in-nodes/StringTrim", + "ko/built-in-nodes/StripWhitespace", + "ko/built-in-nodes/TextGenerate", + "ko/built-in-nodes/TextGenerateLTX2Prompt", + "ko/built-in-nodes/TextToLowercase", + "ko/built-in-nodes/TextToUppercase", + "ko/built-in-nodes/TruncateText" + ] + }, + { + "group": "유틸리티", + "pages": [ { - "group": "Transform", + "group": "로직", "pages": [ - "ja/built-in-nodes/CenterCropImages", - "ja/built-in-nodes/CropByBBoxes", - "ja/built-in-nodes/ImageCrop", - "ja/built-in-nodes/ImageCropV2", - "ja/built-in-nodes/ImageFlip", - "ja/built-in-nodes/ImagePadForOutpaint", - "ja/built-in-nodes/ImageRotate", - "ja/built-in-nodes/ImageStitch", - "ja/built-in-nodes/RandomCropImages", - "ja/built-in-nodes/ResizeAndPadImage", - "ja/built-in-nodes/ResizeImagesByLongerEdge", - "ja/built-in-nodes/ResizeImagesByShorterEdge" + "ko/built-in-nodes/AutogrowNamesTestNode", + "ko/built-in-nodes/AutogrowPrefixTestNode", + "ko/built-in-nodes/ComboOptionTestNode", + "ko/built-in-nodes/ComfyAndNode", + "ko/built-in-nodes/ComfyNotNode", + "ko/built-in-nodes/ComfyOrNode", + "ko/built-in-nodes/ComfySoftSwitchNode", + "ko/built-in-nodes/ComfySwitchNode", + "ko/built-in-nodes/ConvertStringToComboNode", + "ko/built-in-nodes/DCTestNode", + "ko/built-in-nodes/InvertBooleanNode" ] }, { - "group": "Upscaling", + "group": "프리미티브", "pages": [ - "ja/built-in-nodes/ImageScale", - "ja/built-in-nodes/ImageScaleBy", - "ja/built-in-nodes/ImageScaleToMaxDimension", - "ja/built-in-nodes/ImageScaleToTotalPixels", - "ja/built-in-nodes/ImageUpscaleWithModel" + "ko/built-in-nodes/PrimitiveBoolean", + "ko/built-in-nodes/PrimitiveBoundingBox", + "ko/built-in-nodes/PrimitiveFloat", + "ko/built-in-nodes/PrimitiveInt", + "ko/built-in-nodes/PrimitiveString", + "ko/built-in-nodes/PrimitiveStringMultiline" ] }, + "ko/built-in-nodes/ColorToRGBInt", + "ko/built-in-nodes/ComfyMathExpression", + "ko/built-in-nodes/ComfyNumberConvert", + "ko/built-in-nodes/CreateList", + "ko/built-in-nodes/CurveEditor", + "ko/built-in-nodes/CustomCombo", + "ko/built-in-nodes/ImageHistogram", + "ko/built-in-nodes/PreviewAny", + "ko/built-in-nodes/ResolutionSelector" + ] + }, + { + "group": "유틸리티", + "pages": [ + "ko/built-in-nodes/BatchImagesMasksLatentsNode", + "ko/built-in-nodes/MarkdownNote", + "ko/built-in-nodes/Note", + "ko/built-in-nodes/Reroute", + "ko/built-in-nodes/TerminalLog", + "ko/built-in-nodes/wanBlockSwap" + ] + }, + { + "group": "비디오", + "pages": [ { - "group": "Video", + "group": "전처리기", "pages": [ - "ja/built-in-nodes/WanDancerPadKeyframes", - "ja/built-in-nodes/WanDancerPadKeyframesList" + "ko/built-in-nodes/LTXVPreprocess" ] }, - "ja/built-in-nodes/BatchImagesNode", - "ja/built-in-nodes/ConditioningCombine", - "ja/built-in-nodes/EmptyImage", - "ja/built-in-nodes/GetImageSize", - "ja/built-in-nodes/ImageBatch", - "ja/built-in-nodes/ImageCompare", - "ja/built-in-nodes/ImageInvert", - "ja/built-in-nodes/LoadImage", - "ja/built-in-nodes/LoadImageDataSetFromFolder", - "ja/built-in-nodes/LoadImageMask", - "ja/built-in-nodes/LoadImageOutput", - "ja/built-in-nodes/LoadImageSetFromFolderNode", - "ja/built-in-nodes/LoadImageSetNode", - "ja/built-in-nodes/LoadImageTextDataSetFromFolder", - "ja/built-in-nodes/LoadImageTextSetFromFolderNode", - "ja/built-in-nodes/LoraLoader", - "ja/built-in-nodes/LoraLoaderModelOnly", - "ja/built-in-nodes/Painter", - "ja/built-in-nodes/PreviewImage", - "ja/built-in-nodes/ResizeImageMaskNode", - "ja/built-in-nodes/SaveAnimatedPNG", - "ja/built-in-nodes/SaveAnimatedWEBP", - "ja/built-in-nodes/SaveImage", - "ja/built-in-nodes/SaveImageAdvanced", - "ja/built-in-nodes/SaveImageDataSetToFolder", - "ja/built-in-nodes/SaveImageTextDataSetToFolder", - "ja/built-in-nodes/SaveSVGNode", - "ja/built-in-nodes/WebcamCapture" + "ko/built-in-nodes/CreateVideo", + "ko/built-in-nodes/FrameInterpolate", + "ko/built-in-nodes/GetVideoComponents", + "ko/built-in-nodes/LoadVideo", + "ko/built-in-nodes/SaveVideo", + "ko/built-in-nodes/SaveWEBM", + "ko/built-in-nodes/Video Slice" ] } ] @@ -7226,125 +9883,125 @@ ] }, { - "tab": "開発", + "tab": "개발", "pages": [ - "ja/development/overview", + "ko/development/overview", { "group": "ComfyUI APIs", "icon": "computer", "pages": [ - "ja/development/api-development/overview", + "ko/development/api-development/overview", { "group": "Cloud API", "icon": "cloud", "pages": [ - "ja/development/cloud/overview", - "ja/development/cloud/api-reference", - "ja/development/cloud/openapi" + "ko/development/cloud/overview", + "ko/development/cloud/api-reference", + "ko/development/cloud/openapi" ] }, { "group": "ComfyUI Server API", "icon": "server", "pages": [ - "ja/development/comfyui-server/comms_overview", - "ja/development/comfyui-server/startup-flags", - "ja/development/comfyui-server/comms_routes", - "ja/development/comfyui-server/api-examples", - "ja/development/comfyui-server/comms_messages", - "ja/development/comfyui-server/execution_model_inversion_guide" + "ko/development/comfyui-server/comms_overview", + "ko/development/comfyui-server/startup-flags", + "ko/development/comfyui-server/comms_routes", + "ko/development/comfyui-server/api-examples", + "ko/development/comfyui-server/comms_messages", + "ko/development/comfyui-server/execution_model_inversion_guide" ] }, - "ja/development/comfyui-server/api-key-integration", - "ja/development/api-development/workflow-api-format", - "ja/development/api-development/getting-an-api-key" + "ko/development/comfyui-server/api-key-integration", + "ko/development/api-development/workflow-api-format", + "ko/development/api-development/getting-an-api-key" ] }, { "group": "CLI", "pages": [ - "ja/comfy-cli/getting-started", - "ja/comfy-cli/reference", - "ja/comfy-cli/troubleshooting" + "ko/comfy-cli/getting-started", + "ko/comfy-cli/reference", + "ko/comfy-cli/troubleshooting" ] }, { - "group": "カスタムノード開発", + "group": "커스텀 노드 개발", "pages": [ - "ja/custom-nodes/overview", - "ja/custom-nodes/walkthrough", + "ko/custom-nodes/overview", + "ko/custom-nodes/walkthrough", { - "group": "バックエンド", + "group": "백엔드", "icon": "python", "pages": [ - "ja/custom-nodes/backend/server_overview", - "ja/custom-nodes/backend/lifecycle", - "ja/custom-nodes/backend/datatypes", - "ja/custom-nodes/backend/images_and_masks", - "ja/custom-nodes/backend/more_on_inputs", - "ja/custom-nodes/backend/lazy_evaluation", - "ja/custom-nodes/backend/expansion", - "ja/custom-nodes/backend/lists", - "ja/custom-nodes/backend/snippets", - "ja/custom-nodes/backend/tensors", - "ja/custom-nodes/backend/node-replacement" + "ko/custom-nodes/backend/server_overview", + "ko/custom-nodes/backend/lifecycle", + "ko/custom-nodes/backend/datatypes", + "ko/custom-nodes/backend/images_and_masks", + "ko/custom-nodes/backend/more_on_inputs", + "ko/custom-nodes/backend/lazy_evaluation", + "ko/custom-nodes/backend/expansion", + "ko/custom-nodes/backend/lists", + "ko/custom-nodes/backend/snippets", + "ko/custom-nodes/backend/tensors", + "ko/custom-nodes/backend/node-replacement" ] }, { "group": "UI", "icon": "js", "pages": [ - "ja/custom-nodes/js/javascript_overview", - "ja/custom-nodes/js/javascript_hooks", - "ja/custom-nodes/js/javascript_objects_and_hijacking", - "ja/custom-nodes/js/javascript_settings", - "ja/custom-nodes/js/javascript_dialog", - "ja/custom-nodes/js/javascript_toast", - "ja/custom-nodes/js/javascript_about_panel_badges", - "ja/custom-nodes/js/javascript_bottom_panel_tabs", - "ja/custom-nodes/js/javascript_sidebar_tabs", - "ja/custom-nodes/js/javascript_selection_toolbox", - "ja/custom-nodes/js/javascript_commands_keybindings", - "ja/custom-nodes/js/javascript_topbar_menu", - "ja/custom-nodes/js/context-menu-migration", - "ja/custom-nodes/js/subgraphs", - "ja/custom-nodes/js/javascript_examples", - "ja/custom-nodes/i18n" - ] - }, - "ja/custom-nodes/v3_migration", - "ja/custom-nodes/help_page", - "ja/custom-nodes/workflow_templates", - "ja/custom-nodes/subgraph_blueprints" + "ko/custom-nodes/js/javascript_overview", + "ko/custom-nodes/js/javascript_hooks", + "ko/custom-nodes/js/javascript_objects_and_hijacking", + "ko/custom-nodes/js/javascript_settings", + "ko/custom-nodes/js/javascript_dialog", + "ko/custom-nodes/js/javascript_toast", + "ko/custom-nodes/js/javascript_about_panel_badges", + "ko/custom-nodes/js/javascript_bottom_panel_tabs", + "ko/custom-nodes/js/javascript_sidebar_tabs", + "ko/custom-nodes/js/javascript_selection_toolbox", + "ko/custom-nodes/js/javascript_commands_keybindings", + "ko/custom-nodes/js/javascript_topbar_menu", + "ko/custom-nodes/js/context-menu-migration", + "ko/custom-nodes/js/subgraphs", + "ko/custom-nodes/js/javascript_examples", + "ko/custom-nodes/i18n" + ] + }, + "ko/custom-nodes/v3_migration", + "ko/custom-nodes/help_page", + "ko/custom-nodes/workflow_templates", + "ko/custom-nodes/subgraph_blueprints" ] }, { - "group": "レジストリ（Registry）", + "group": "레지스트리", "pages": [ - "ja/registry/overview", - "ja/registry/publishing", - "ja/registry/claim-my-node", - "ja/registry/standards", - "ja/registry/cicd", - "ja/registry/specifications", - "ja/registry/api-reference/overview" + "ko/registry/overview", + "ko/registry/publishing", + "ko/registry/claim-my-node", + "ko/registry/standards", + "ko/registry/cicd", + "ko/registry/specifications", + "ko/registry/api-reference/overview" ] }, { - "group": "仕様", + "group": "스펙", "pages": [ { - "group": "ワークフロー JSON", + "group": "Workflow JSON", "pages": [ - "ja/specs/workflow_json", - "ja/specs/workflow_json_0.4" + "ko/specs/workflow_json", + "ko/specs/workflow_json_0.4" ] }, { - "group": "ノード定義", + "group": "노드 정의", "pages": [ - "ja/specs/nodedef_json", - "ja/specs/nodedef_json_1_0" + "ko/specs/nodedef_json", + "ko/specs/nodedef_json_1_0" ] } ] @@ -7352,71 +10009,71 @@ ] }, { - "tab": "サポート", + "tab": "지원", "pages": [ - "ja/support/contact-support", - "ja/support/data-retention", + "ko/support/contact-support", + "ko/support/data-retention", { - "group": "アカウント管理", + "group": "계정 관리", "icon": "user", "pages": [ - "ja/account/create-account", - "ja/account/login", - "ja/account/delete-account" + "ko/account/create-account", + "ko/account/login", + "ko/account/delete-account" ] }, { - "group": "請求サポート", + "group": "결제 지원", "pages": [ { - "group": "サブスクリプション", + "group": "구독", "pages": [ - "ja/support/subscription/subscribing", - "ja/support/subscription/managing", - "ja/support/subscription/changing-plan", - "ja/support/subscription/canceling" + "ko/support/subscription/subscribing", + "ko/support/subscription/managing", + "ko/support/subscription/changing-plan", + "ko/support/subscription/canceling" ] }, { - "group": "お支払い", + "group": "결제", "pages": [ - "ja/support/payment/accepted-payment-methods", - "ja/support/payment/editing-payment-information", - "ja/support/payment/payment-history", - "ja/support/payment/unsuccessful-payments", - "ja/support/payment/payment-currency", - "ja/support/payment/invoice-information" + "ko/support/payment/accepted-payment-methods", + "ko/support/payment/editing-payment-information", + "ko/support/payment/payment-history", + "ko/support/payment/unsuccessful-payments", + "ko/support/payment/payment-currency", + "ko/support/payment/invoice-information" ] } ] }, { - "group": "トラブルシューティング", + "group": "문제 해결", "icon": "bug", "pages": [ - "ja/troubleshooting/overview", - "ja/troubleshooting/model-issues", - "ja/troubleshooting/custom-node-issues" + "ko/troubleshooting/overview", + "ko/troubleshooting/model-issues", + "ko/troubleshooting/custom-node-issues" ] }, { - "group": "コミュニティ", + "group": "커뮤니티", "pages": [ - "ja/community/contributing", - "ja/community/links" + "ko/community/contributing", + "ko/community/links" ] } ] }, { - "tab": "Registry APIリファレンス", + "tab": "Registry API 참조", "openapi": "https://api.comfy.org/openapi" }, { - "tab": "Cloud APIリファレンス", + "tab": "Cloud API 참조", "openapi": { "source": "openapi-cloud.yaml", - "directory": "jp/api-reference/cloud" + "directory": "ko/api-reference/cloud" } } ], @@ -7429,56 +10086,56 @@ }, "links": [ { - "header": "リソース", + "header": "리소스", "items": [ { - "label": "インストール", - "href": "https://docs.comfy.org/ja/installation/system_requirements" + "label": "설치", + "href": "https://docs.comfy.org/ko/installation/system_requirements" }, { - "label": "チュートリアル", - "href": "https://docs.comfy.org/ja/tutorials/basic/text-to-image" + "label": "튜토리얼", + "href": "https://docs.comfy.org/ko/tutorials/basic/text-to-image" }, { - "label": "開発", - "href": "https://docs.comfy.org/ja/development/overview" + "label": "개발", + "href": "https://docs.comfy.org/ko/development/overview" } ] }, { - "header": "プロダクト", + "header": "제품", "items": [ { - "label": "機能", + "label": "기능", "href": "https://www.comfy.org/?utm_source=docs#features-1" }, { - "label": "ギャラリー", + "label": "갤러리", "href": "https://www.comfy.org/gallery?utm_source=docs" }, { - "label": "ダウンロード", + "label": "다운로드", "href": "https://www.comfy.org/download?utm_source=docs" } ] }, { - "header": "会社情報", + "header": "회사 정보", "items": [ { - "label": "概要", + "label": "소개", "href": "https://www.comfy.org/about?utm_source=docs" }, { - "label": "採用情報", + "label": "채용", "href": "https://www.comfy.org/careers?utm_source=docs" }, { - "label": "利用規約", + "label": "이용약관", "href": "https://www.comfy.org/terms-of-service?utm_source=docs" }, { - "label": "プライバシーポリシー", + "label": "개인정보 처리방침", "href": "https://www.comfy.org/privacy-policy?utm_source=docs" } ] @@ -7488,7 +10145,7 @@ "navbar": { "links": [ { - "label": "ダウンロード", + "label": "다운로드", "href": "https://comfy.org/download?utm_source=docs" } ], diff --git a/giscus-comments.js b/giscus-comments.js index 6b907430e..3fc4983f4 100644 --- a/giscus-comments.js +++ b/giscus-comments.js @@ -594,6 +594,13 @@ suggestion: 'まず、このページに関連するディスカッションがあるか確認してください。関連するディスカッションが見つからない場合は、新しいディスカッションを作成してコメントとこのページを関連付けてください。', discussionLink: '関連ディスカッションを検索', newDiscussionLink: '新しいディスカッションを開始' + }, + ko: { + title: '💬 토론에 참여하기', + message: '접속량이 많아 댓글 기능을 일시적으로 사용할 수 없습니다.', + suggestion: '먼저 이 페이지에 대한 관련 토론이 있는지 확인해 주세요. 관련 토론이 없으면 새 토론을 시작해 댓글을 이 페이지와 연결할 수 있습니다.', + discussionLink: '관련 토론 찾기', + newDiscussionLink: '새 토론 시작' } }, network: { @@ -617,13 +624,21 @@ suggestion: 'まず、このページに関連するディスカッションがあるか確認してください。関連するディスカッションが見つからない場合は、新しいディスカッションを作成してコメントとこのページを関連付けてください。', discussionLink: '関連ディスカッションを検索', newDiscussionLink: '新しいディスカッションを開始' + }, + ko: { + title: '💬 토론에 참여하기', + message: '지금은 댓글을 불러올 수 없습니다.', + suggestion: '먼저 이 페이지에 대한 관련 토론이 있는지 확인해 주세요. 관련 토론이 없으면 새 토론을 시작해 댓글을 이 페이지와 연결할 수 있습니다.', + discussionLink: '관련 토론 찾기', + newDiscussionLink: '새 토론 시작' } } }; const isChinesePage = window.location.pathname.includes('/zh/') || window.location.pathname.includes('/cn/'); const isJapanesePage = window.location.pathname.includes('/ja/'); - const lang = isJapanesePage ? 'ja' : isChinesePage ? 'zh' : 'en'; + const isKoreanPage = window.location.pathname.includes('/ko/'); + const lang = isKoreanPage ? 'ko' : isJapanesePage ? 'ja' : isChinesePage ? 'zh' : 'en'; const notice = noticeMessages[noticeType][lang]; const noticeDiv = document.createElement('div'); @@ -774,7 +789,8 @@ // Set language based on path const isChinesePage = newPath.includes('/zh/') || newPath.includes('/cn/'); const isJapanesePage = newPath.includes('/ja/'); - const giscusLang = isJapanesePage ? 'ja' : isChinesePage ? 'zh' : 'en'; + const isKoreanPage = newPath.includes('/ko/'); + const giscusLang = isKoreanPage ? 'ko' : isJapanesePage ? 'ja' : isChinesePage ? 'zh' : 'en'; script.setAttribute('data-lang', giscusLang); // Debug logging @@ -850,7 +866,7 @@ const newPath = window.location.pathname; // Exclude paths that should not have comments - const excludedPaths = ['/', '/zh', '/zh/']; + const excludedPaths = ['/', '/zh', '/ja', '/ko']; // Skip if current path is in excluded list or contains API/search paths if (excludedPaths.includes(newPath) || newPath.includes('/api/') || newPath.includes('/search')) { diff --git a/ja/built-in-nodes/APG.mdx b/ja/built-in-nodes/APG.mdx index d029f34ad..b676c62e1 100644 --- a/ja/built-in-nodes/APG.mdx +++ b/ja/built-in-nodes/APG.mdx @@ -5,26 +5,26 @@ sidebarTitle: "APG" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/APG/ja.md) - 以下が翻訳結果です。 APG（適応型投影ガイダンス）ノードは、拡散プロセス中のガイダンスの適用方法を調整することで、サンプリングプロセスを変更します。このノードは、条件付き出力に対するガイダンスベクトルを平行成分と直交成分に分離し、より制御された画像生成を可能にします。ガイダンスのスケーリング、その大きさの正規化、および拡散ステップ間のスムーズな遷移のためのモメンタム適用のためのパラメータを提供します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | 適応型投影ガイダンスを適用する拡散モデル | -| `イータ` | FLOAT | はい | -10.0 ～ 10.0 | 平行ガイダンスベクトルのスケールを制御します。設定値1でデフォルトのCFG動作になります（デフォルト: 1.0）。 | -| `正規化閾値` | FLOAT | はい | 0.0 ～ 50.0 | ガイダンスベクトルをこの値に正規化します。設定値0で正規化は無効になります（デフォルト: 5.0）。 | -| `モーメンタム` | FLOAT | はい | -5.0 ～ 1.0 | 拡散中のガイダンスの移動平均を制御します。設定値0で無効になります（デフォルト: 0.0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 適応型投影ガイダンスを適用する拡散モデル | MODEL | はい | - | +| `イータ` | 平行ガイダンスベクトルのスケールを制御します。設定値1でデフォルトのCFG動作になります（デフォルト: 1.0）。 | FLOAT | はい | -10.0 ～ 10.0 | +| `正規化閾値` | ガイダンスベクトルをこの値に正規化します。設定値0で正規化は無効になります（デフォルト: 5.0）。 | FLOAT | はい | 0.0 ～ 50.0 | +| `モーメンタム` | 拡散中のガイダンスの移動平均を制御します。設定値0で無効になります（デフォルト: 0.0）。 | FLOAT | はい | -5.0 ～ 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | サンプリングプロセスに適応型投影ガイダンスが適用された、変更済みモデルを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | サンプリングプロセスに適応型投影ガイダンスが適用された、変更済みモデルを返します | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/APG/ja.md) --- **Source fingerprint (SHA-256):** `89e2486bf08f750f82608db93c389f0b25ce0be766f62faa8704d19bd7e41654` diff --git a/ja/built-in-nodes/ARVideoI2V.mdx b/ja/built-in-nodes/ARVideoI2V.mdx index dc2098c43..295225bf9 100644 --- a/ja/built-in-nodes/ARVideoI2V.mdx +++ b/ja/built-in-nodes/ARVideoI2V.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ARVideoI2V" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ARVideoI2V/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,22 +13,24 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 生成に使用するARビデオモデルです。 | -| `vae` | VAE | はい | - | 開始画像を潜在空間にエンコードするために使用するVAEモデルです。 | -| `start_image` | IMAGE | はい | - | 生成されたビデオの最初のフレームとして機能する初期画像です。 | -| `幅` | INT | はい | 16～8192（ステップ：16） | 生成されるビデオフレームの幅です（デフォルト：832）。 | -| `高さ` | INT | はい | 16～8192（ステップ：16） | 生成されるビデオフレームの高さです（デフォルト：480）。 | -| `長さ` | INT | はい | 1～1024（ステップ：4） | 生成されるビデオの総フレーム数です（デフォルト：81）。 | -| `バッチサイズ` | INT | はい | 1～64 | 1回のバッチで生成するビデオシーケンスの数です（デフォルト：1）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 生成に使用するARビデオモデルです。 | MODEL | はい | - | +| `vae` | 開始画像を潜在空間にエンコードするために使用するVAEモデルです。 | VAE | はい | - | +| `start_image` | 生成されたビデオの最初のフレームとして機能する初期画像です。 | IMAGE | はい | - | +| `幅` | 生成されるビデオフレームの幅です（デフォルト：832）。 | INT | はい | 16～8192（ステップ：16） | +| `高さ` | 生成されるビデオフレームの高さです（デフォルト：480）。 | INT | はい | 16～8192（ステップ：16） | +| `長さ` | 生成されるビデオの総フレーム数です（デフォルト：81）。 | INT | はい | 1～1024（ステップ：4） | +| `バッチサイズ` | 1回のバッチで生成するビデオシーケンスの数です（デフォルト：1）。 | INT | はい | 1～64 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MODEL` | MODEL | エンコードされた開始画像がビデオ生成用に設定に保存された、クローンされたモデルです。 | -| `LATENT` | LATENT | ビデオ生成プロセスに適した正しい次元を持つ、空の潜在テンソルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MODEL` | エンコードされた開始画像がビデオ生成用に設定に保存された、クローンされたモデルです。 | MODEL | +| `LATENT` | ビデオ生成プロセスに適した正しい次元を持つ、空の潜在テンソルです。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ARVideoI2V/ja.md) --- **Source fingerprint (SHA-256):** `0445b279ba49fa946050cfa70d1e6b13240eaa600b99dfe63f27c3203dc4b61b` diff --git a/ja/built-in-nodes/AddNoise.mdx b/ja/built-in-nodes/AddNoise.mdx index bbd650c9e..a987c962b 100644 --- a/ja/built-in-nodes/AddNoise.mdx +++ b/ja/built-in-nodes/AddNoise.mdx @@ -5,24 +5,24 @@ sidebarTitle: "AddNoise" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddNoise/ja.md) - このノードは、指定されたノイズ生成器とシグマ値を使用して、潜在画像に制御されたノイズを追加します。モデルのサンプリングシステムを通じて入力を処理し、指定されたシグマ範囲に適したノイズスケーリングを適用して、ノイズが適用された新しい潜在表現を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | サンプリングパラメータと処理関数を含むモデル | -| `ノイズ` | NOISE | はい | - | 基本ノイズパターンを生成するノイズ生成器 | -| `シグマ` | SIGMAS | はい | - | ノイズスケーリングの強度を制御するシグマ値。空の場合は、ノードは元の潜在画像を変更せずに返します。複数のシグマが指定された場合、ノイズスケールは最初と最後のシグマ値の絶対差として計算されます。シグマが1つだけ指定された場合、その値がスケールとして直接使用されます。 | -| `潜在イメージ` | LATENT | はい | - | ノイズが追加される入力潜在表現。空の潜在画像（ゼロのみを含む）は処理中にシフトされません。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | サンプリングパラメータと処理関数を含むモデル | MODEL | はい | - | +| `ノイズ` | 基本ノイズパターンを生成するノイズ生成器 | NOISE | はい | - | +| `シグマ` | ノイズスケーリングの強度を制御するシグマ値。空の場合は、ノードは元の潜在画像を変更せずに返します。複数のシグマが指定された場合、ノイズスケールは最初と最後のシグマ値の絶対差として計算されます。シグマが1つだけ指定された場合、その値がスケールとして直接使用されます。 | SIGMAS | はい | - | +| `潜在イメージ` | ノイズが追加される入力潜在表現。空の潜在画像（ゼロのみを含む）は処理中にシフトされません。 | LATENT | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `LATENT` | LATENT | ノイズが追加された変更済み潜在表現。出力内のNaNや無限大の値は、安定性のためにゼロに変換されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `LATENT` | ノイズが追加された変更済み潜在表現。出力内のNaNや無限大の値は、安定性のためにゼロに変換されます。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddNoise/ja.md) --- **Source fingerprint (SHA-256):** `8f387f95aeec2780d27bee5b954ad2c6cd6daa9242a1ea15697455b157bc80d5` diff --git a/ja/built-in-nodes/AddTextPrefix.mdx b/ja/built-in-nodes/AddTextPrefix.mdx index af1834058..180f5f394 100644 --- a/ja/built-in-nodes/AddTextPrefix.mdx +++ b/ja/built-in-nodes/AddTextPrefix.mdx @@ -5,8 +5,6 @@ sidebarTitle: "AddTextPrefix" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextPrefix/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 --- @@ -15,16 +13,18 @@ Add Text Prefix ノードは、各入力テキストの先頭に指定された ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `text` | STRING | はい | | プレフィックスが追加されるテキストです。 | -| `接頭辞` | STRING | いいえ | | テキストの先頭に追加する文字列です（デフォルト：""）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `text` | プレフィックスが追加されるテキストです。 | STRING | はい | | +| `接頭辞` | テキストの先頭に追加する文字列です（デフォルト：""）。 | STRING | いいえ | | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `text` | STRING | 先頭にプレフィックスが追加された結果のテキストです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `text` | 先頭にプレフィックスが追加された結果のテキストです。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextPrefix/ja.md) --- **Source fingerprint (SHA-256):** `7f1282b1b84ea06a96ecefdec8e9e684cb6e7d3e618250dfb6e54d01f9e9ba87` diff --git a/ja/built-in-nodes/AddTextSuffix.mdx b/ja/built-in-nodes/AddTextSuffix.mdx index d9ef83901..6d962406b 100644 --- a/ja/built-in-nodes/AddTextSuffix.mdx +++ b/ja/built-in-nodes/AddTextSuffix.mdx @@ -5,22 +5,22 @@ sidebarTitle: "AddTextSuffix" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextSuffix/ja.md) - このノードは、入力されたテキスト文字列の末尾に指定されたサフィックス（接尾語）を追加します。元のテキストとサフィックスを入力として受け取り、結合された結果を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | はい | | サフィックスが追加される元のテキストです。 | -| `接尾辞` | STRING | いいえ | | テキストに追加するサフィックスです（デフォルト：""）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `text` | サフィックスが追加される元のテキストです。 | STRING | はい | | +| `接尾辞` | テキストに追加するサフィックスです（デフォルト：""）。 | STRING | いいえ | | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `text` | STRING | サフィックスが追加された結果のテキストです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `text` | サフィックスが追加された結果のテキストです。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextSuffix/ja.md) --- **Source fingerprint (SHA-256):** `5dd75a9a29709a35343ec0dce144d2eb27a6e7aef5cb0b9245329c678897a763` diff --git a/ja/built-in-nodes/AdjustBrightness.mdx b/ja/built-in-nodes/AdjustBrightness.mdx index 53ef7b5b6..8f04b6c33 100644 --- a/ja/built-in-nodes/AdjustBrightness.mdx +++ b/ja/built-in-nodes/AdjustBrightness.mdx @@ -5,24 +5,24 @@ sidebarTitle: "AdjustBrightness" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustBrightness/ja.md) - ## 概要 明るさ調整ノードは、入力画像の明るさを変更します。各ピクセルの値に指定された係数を乗算し、結果の値を有効範囲内に収めることで動作します。係数1.0は画像を変更せず、1.0未満の値は暗く、1.0を超える値は明るくします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 調整する入力画像です。 | -| `係数` | FLOAT | いいえ | 0.0 - 2.0 | 明るさ係数です。1.0 = 変更なし、<1.0 = 暗く、>1.0 = 明るくします。（デフォルト: 1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | 調整する入力画像です。 | IMAGE | はい | - | +| `係数` | 明るさ係数です。1.0 = 変更なし、<1.0 = 暗く、>1.0 = 明るくします。（デフォルト: 1.0） | FLOAT | いいえ | 0.0 - 2.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | 明るさが調整された出力画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 明るさが調整された出力画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustBrightness/ja.md) --- **Source fingerprint (SHA-256):** `c8f2fbb5fa149812a2ecd1ff9fce7bd6d29bf4c48b929e9ebc0a95c9e46ec65e` diff --git a/ja/built-in-nodes/AdjustContrast.mdx b/ja/built-in-nodes/AdjustContrast.mdx index 568d2f191..b787f8b06 100644 --- a/ja/built-in-nodes/AdjustContrast.mdx +++ b/ja/built-in-nodes/AdjustContrast.mdx @@ -5,8 +5,6 @@ sidebarTitle: "AdjustContrast" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustContrast/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,16 +12,18 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `image` | IMAGE | はい | - | コントラストを調整する入力画像です。 | -| `係数` | FLOAT | いいえ | 0.0 - 2.0 | コントラスト係数です。1.0 = 変更なし、<1.0 = コントラスト減少、>1.0 = コントラスト増加。（デフォルト: 1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | コントラストを調整する入力画像です。 | IMAGE | はい | - | +| `係数` | コントラスト係数です。1.0 = 変更なし、<1.0 = コントラスト減少、>1.0 = コントラスト増加。（デフォルト: 1.0） | FLOAT | いいえ | 0.0 - 2.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `image` | IMAGE | コントラストが調整された結果の画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | コントラストが調整された結果の画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustContrast/ja.md) --- **Source fingerprint (SHA-256):** `01148cdd9d951e78c712c1c3159c5562a680a5147bd4a76e33d91543d5245854` diff --git a/ja/built-in-nodes/AlignYourStepsScheduler.mdx b/ja/built-in-nodes/AlignYourStepsScheduler.mdx index d0b07f0bd..f901b4e7f 100644 --- a/ja/built-in-nodes/AlignYourStepsScheduler.mdx +++ b/ja/built-in-nodes/AlignYourStepsScheduler.mdx @@ -5,8 +5,6 @@ sidebarTitle: "AlignYourStepsScheduler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AlignYourStepsScheduler/ja.md) - 以下が翻訳結果です。 --- @@ -15,17 +13,19 @@ AlignYourStepsScheduler ノードは、モデルの種類に基づいてノイ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデルタイプ` | STRING | はい | `"SD1"`
`"SDXL"`
`"SVD"` | シグマ計算に使用するモデルの種類を指定します（デフォルト: "SD1"） | -| `ステップ` | INT | はい | 1 ～ 10000 | 生成するサンプリングステップの総数（デフォルト: 10） | -| `ノイズ除去` | FLOAT | はい | 0.0 ～ 1.0 | 画像をどの程度ノイズ除去するかを制御します。1.0 はすべてのステップを使用し、値が小さいほど使用するステップ数が少なくなります（デフォルト: 1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデルタイプ` | シグマ計算に使用するモデルの種類を指定します（デフォルト: "SD1"） | STRING | はい | `"SD1"`
`"SDXL"`
`"SVD"` | +| `ステップ` | 生成するサンプリングステップの総数（デフォルト: 10） | INT | はい | 1 ～ 10000 | +| `ノイズ除去` | 画像をどの程度ノイズ除去するかを制御します。1.0 はすべてのステップを使用し、値が小さいほど使用するステップ数が少なくなります（デフォルト: 1.0） | FLOAT | はい | 0.0 ～ 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | ノイズ除去プロセス用に計算されたシグマ値を返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sigmas` | ノイズ除去プロセス用に計算されたシグマ値を返します | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AlignYourStepsScheduler/ja.md) --- **Source fingerprint (SHA-256):** `112535f9c100ca4e13dcd733e7a371c00c203b38d77bd10beb4355ba3512ec66` diff --git a/ja/built-in-nodes/AudioAdjustVolume.mdx b/ja/built-in-nodes/AudioAdjustVolume.mdx index 90fdfc971..34ed954f3 100644 --- a/ja/built-in-nodes/AudioAdjustVolume.mdx +++ b/ja/built-in-nodes/AudioAdjustVolume.mdx @@ -5,22 +5,22 @@ sidebarTitle: "AudioAdjustVolume" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioAdjustVolume/ja.md) - AudioAdjustVolumeノードは、デシベル（dB）単位で音量調整を適用することで、オーディオのラウドネスを変更します。オーディオ入力を受け取り、指定された音量レベルに基づいてゲイン係数を適用します。正の値は音量を増加させ、負の値は音量を減少させます。このノードは、元のオーディオと同じサンプルレートで変更されたオーディオを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `オーディオ` | AUDIO | はい | - | 処理対象のオーディオ入力 | -| `音量` | INT | はい | -100 ～ 100 | デシベル（dB）単位の音量調整。0 = 変更なし、+6 = 2倍、-6 = 半分など（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `オーディオ` | 処理対象のオーディオ入力 | AUDIO | はい | - | +| `音量` | デシベル（dB）単位の音量調整。0 = 変更なし、+6 = 2倍、-6 = 半分など（デフォルト：1） | INT | はい | -100 ～ 100 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `オーディオ` | AUDIO | 音量レベルが調整された処理済みオーディオ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `オーディオ` | 音量レベルが調整された処理済みオーディオ | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioAdjustVolume/ja.md) --- **Source fingerprint (SHA-256):** `0436765680671551239f7a89b575cdfb22590fbe662bdfe5da01bd1cd5c496ed` diff --git a/ja/built-in-nodes/AudioConcat.mdx b/ja/built-in-nodes/AudioConcat.mdx index f1e8164f4..0941a65a3 100644 --- a/ja/built-in-nodes/AudioConcat.mdx +++ b/ja/built-in-nodes/AudioConcat.mdx @@ -5,25 +5,25 @@ sidebarTitle: "AudioConcat" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioConcat/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 AudioConcatノードは、2つのオーディオ入力を結合して連結します。2つのオーディオ入力を受け取り、指定した順序で接続します。2つ目のオーディオを1つ目のオーディオの前または後に配置できます。このノードは、モノラルオーディオをステレオに変換し、2つの入力間でサンプルレートを一致させることで、異なるオーディオ形式を自動的に処理します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `オーディオ1` | AUDIO | はい | - | 連結される最初のオーディオ入力 | -| `オーディオ2` | AUDIO | はい | - | 連結される2番目のオーディオ入力 | -| `方向` | COMBO | はい | `"after"`
`"before"` | audio2をaudio1の後に追加するか、前に追加するかを指定します（デフォルト："after"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `オーディオ1` | 連結される最初のオーディオ入力 | AUDIO | はい | - | +| `オーディオ2` | 連結される2番目のオーディオ入力 | AUDIO | はい | - | +| `方向` | audio2をaudio1の後に追加するか、前に追加するかを指定します（デフォルト："after"） | COMBO | はい | `"after"`
`"before"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `AUDIO` | AUDIO | 両方の入力オーディオファイルが連結された結合オーディオ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `AUDIO` | 両方の入力オーディオファイルが連結された結合オーディオ | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioConcat/ja.md) --- **Source fingerprint (SHA-256):** `b54046e29761cf27bc5b1c065dac87846613afc0b5cbb296632628bf7d4527b7` diff --git a/ja/built-in-nodes/AudioEncoderEncode.mdx b/ja/built-in-nodes/AudioEncoderEncode.mdx index 7511dd18e..1e5a2373d 100644 --- a/ja/built-in-nodes/AudioEncoderEncode.mdx +++ b/ja/built-in-nodes/AudioEncoderEncode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "AudioEncoderEncode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderEncode/ja.md) - 以下は、ご依頼いただいた英語ドキュメントを日本語に翻訳したものです。 AudioEncoderEncode ノードは、オーディオエンコーダーモデルを使用してオーディオデータをエンコード処理します。オーディオ入力を受け取り、それをエンコードされた表現に変換し、条件付けパイプラインでのさらなる処理に使用できるようにします。このノードは、生のオーディオ波形を、オーディオベースの機械学習アプリケーションに適した形式に変換します。 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `オーディオエンコーダー` | AUDIO_ENCODER | 必須 | - | - | オーディオ入力の処理に使用するオーディオエンコーダーモデル | -| `オーディオ` | AUDIO | 必須 | - | - | 波形とサンプルレート情報を含むオーディオデータ | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `オーディオエンコーダー` | オーディオ入力の処理に使用するオーディオエンコーダーモデル | AUDIO_ENCODER | 必須 | - | - | +| `オーディオ` | 波形とサンプルレート情報を含むオーディオデータ | AUDIO | 必須 | - | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | AUDIO_ENCODER_OUTPUT | オーディオエンコーダーによって生成されたエンコード済みオーディオ表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | オーディオエンコーダーによって生成されたエンコード済みオーディオ表現 | AUDIO_ENCODER_OUTPUT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderEncode/ja.md) --- **Source fingerprint (SHA-256):** `8de45c157937ee95fbaef06aaefe478db7be8b16088d92720d977fe3d14eee39` diff --git a/ja/built-in-nodes/AudioEncoderLoader.mdx b/ja/built-in-nodes/AudioEncoderLoader.mdx index f6cd49ce9..95a696ed2 100644 --- a/ja/built-in-nodes/AudioEncoderLoader.mdx +++ b/ja/built-in-nodes/AudioEncoderLoader.mdx @@ -5,21 +5,21 @@ sidebarTitle: "AudioEncoderLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderLoader/ja.md) - AudioEncoderLoader ノードは、オーディオエンコーダーフォルダ内のファイルからオーディオエンコーダーモデルを読み込みます。このノードは、オーディオエンコーダーモデルのファイル名を入力として受け取り、読み込まれたモデルを返します。このモデルは、ワークフロー内のオーディオ処理タスクに使用できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `オーディオエンコーダー名` | STRING | はい | audio_encoders フォルダ内の利用可能なオーディオエンコーダーファイルの一覧 | 読み込むオーディオエンコーダーモデルファイルを選択します | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `オーディオエンコーダー名` | 読み込むオーディオエンコーダーモデルファイルを選択します | STRING | はい | audio_encoders フォルダ内の利用可能なオーディオエンコーダーファイルの一覧 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `audio_encoder` | AUDIO_ENCODER | 読み込まれたオーディオエンコーダーモデル。オーディオ処理ワークフローで使用する準備が整っています | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `audio_encoder` | 読み込まれたオーディオエンコーダーモデル。オーディオ処理ワークフローで使用する準備が整っています | AUDIO_ENCODER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderLoader/ja.md) --- **Source fingerprint (SHA-256):** `24cbd45198db7d950633358c29de57f56c999bc33534fabe80404528d194163c` diff --git a/ja/built-in-nodes/AudioEqualizer3Band.mdx b/ja/built-in-nodes/AudioEqualizer3Band.mdx index 3dd40a8dc..b9e42c1aa 100644 --- a/ja/built-in-nodes/AudioEqualizer3Band.mdx +++ b/ja/built-in-nodes/AudioEqualizer3Band.mdx @@ -5,32 +5,32 @@ sidebarTitle: "AudioEqualizer3Band" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEqualizer3Band/ja.md) - 以下が翻訳結果です。 オーディオイコライザー（3バンド）ノードを使用すると、オーディオ波形の低音、中音、高音の周波数を調整できます。このノードは、低音用のローシェルフ、中音用のピーキングフィルター、高音用のハイシェルフの3つの独立したフィルターを適用します。各バンドは、ゲイン、周波数、帯域幅の設定で個別に制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | はい | - | 波形とサンプルレートを含む入力オーディオデータ。 | -| `low_gain_dB` | FLOAT | いいえ | -24.0 ～ 24.0 | 低周波数（低音）のゲイン。正の値は増幅、負の値は減衰を示します。（デフォルト: 0.0） | -| `low_freq` | INT | いいえ | 20 ～ 500 | ローシェルフフィルターのカットオフ周波数（ヘルツ単位）。（デフォルト: 100） | -| `mid_gain_dB` | FLOAT | いいえ | -24.0 ～ 24.0 | 中周波数（中音）のゲイン。正の値は増幅、負の値は減衰を示します。（デフォルト: 0.0） | -| `mid_freq` | INT | いいえ | 200 ～ 4000 | 中音ピーキングフィルターの中心周波数（ヘルツ単位）。（デフォルト: 1000） | -| `mid_q` | FLOAT | いいえ | 0.1 ～ 10.0 | 中音ピーキングフィルターのQ値（帯域幅）。値が小さいほど広い帯域、値が大きいほど狭い帯域になります。（デフォルト: 0.707） | -| `high_gain_dB` | FLOAT | いいえ | -24.0 ～ 24.0 | 高周波数（高音）のゲイン。正の値は増幅、負の値は減衰を示します。（デフォルト: 0.0） | -| `high_freq` | INT | いいえ | 1000 ～ 15000 | ハイシェルフフィルターのカットオフ周波数（ヘルツ単位）。（デフォルト: 5000） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `audio` | 波形とサンプルレートを含む入力オーディオデータ。 | AUDIO | はい | - | +| `low_gain_dB` | 低周波数（低音）のゲイン。正の値は増幅、負の値は減衰を示します。（デフォルト: 0.0） | FLOAT | いいえ | -24.0 ～ 24.0 | +| `low_freq` | ローシェルフフィルターのカットオフ周波数（ヘルツ単位）。（デフォルト: 100） | INT | いいえ | 20 ～ 500 | +| `mid_gain_dB` | 中周波数（中音）のゲイン。正の値は増幅、負の値は減衰を示します。（デフォルト: 0.0） | FLOAT | いいえ | -24.0 ～ 24.0 | +| `mid_freq` | 中音ピーキングフィルターの中心周波数（ヘルツ単位）。（デフォルト: 1000） | INT | いいえ | 200 ～ 4000 | +| `mid_q` | 中音ピーキングフィルターのQ値（帯域幅）。値が小さいほど広い帯域、値が大きいほど狭い帯域になります。（デフォルト: 0.707） | FLOAT | いいえ | 0.1 ～ 10.0 | +| `high_gain_dB` | 高周波数（高音）のゲイン。正の値は増幅、負の値は減衰を示します。（デフォルト: 0.0） | FLOAT | いいえ | -24.0 ～ 24.0 | +| `high_freq` | ハイシェルフフィルターのカットオフ周波数（ヘルツ単位）。（デフォルト: 5000） | INT | いいえ | 1000 ～ 15000 | **注記:** `low_gain_dB`、`mid_gain_dB`、`high_gain_dB` の各パラメータは、その値がゼロでない場合にのみ適用されます。ゲインが0.0に設定されている場合、対応するフィルター段はスキップされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `audio` | AUDIO | イコライゼーションが適用された処理済みオーディオデータ。変更された波形と元のサンプルレートを含みます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `audio` | イコライゼーションが適用された処理済みオーディオデータ。変更された波形と元のサンプルレートを含みます。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEqualizer3Band/ja.md) --- **Source fingerprint (SHA-256):** `7aeaec2959f1af6144e46d8e6c558a16193669846923df1db23ae9d47e5cc173` diff --git a/ja/built-in-nodes/AudioMerge.mdx b/ja/built-in-nodes/AudioMerge.mdx index 3adf7c873..d7355f511 100644 --- a/ja/built-in-nodes/AudioMerge.mdx +++ b/ja/built-in-nodes/AudioMerge.mdx @@ -5,25 +5,25 @@ sidebarTitle: "AudioMerge" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioMerge/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioMerge/en.md) AudioMergeノードは、2つのオーディオトラックの波形を重ね合わせて結合します。両方のオーディオ入力のサンプルレートを自動的に一致させ、マージ前に長さを等しく調整します。このノードは、オーディオ信号を結合するためのいくつかの数学的手法を提供し、出力が許容可能な音量レベル内に収まるようにします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `オーディオ1` | AUDIO | はい | - | マージする最初のオーディオ入力 | -| `オーディオ2` | AUDIO | はい | - | マージする2番目のオーディオ入力 | -| `結合方法` | COMBO | はい | `"add"`
`"mean"`
`"subtract"`
`"multiply"` | オーディオ波形を結合するために使用する方法。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `オーディオ1` | マージする最初のオーディオ入力 | AUDIO | はい | - | +| `オーディオ2` | マージする2番目のオーディオ入力 | AUDIO | はい | - | +| `結合方法` | オーディオ波形を結合するために使用する方法。 | COMBO | はい | `"add"`
`"mean"`
`"subtract"`
`"multiply"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `AUDIO` | AUDIO | 結合された波形とサンプルレートを含む、マージ後のオーディオ出力 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `AUDIO` | 結合された波形とサンプルレートを含む、マージ後のオーディオ出力 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioMerge/ja.md) --- **Source fingerprint (SHA-256):** `2a4a7da42835efd03cc67002e617a70c0514524a0ac0ed61d57e499c1283be95` diff --git a/ja/built-in-nodes/AutogrowNamesTestNode.mdx b/ja/built-in-nodes/AutogrowNamesTestNode.mdx index 9a47300f1..6d9763806 100644 --- a/ja/built-in-nodes/AutogrowNamesTestNode.mdx +++ b/ja/built-in-nodes/AutogrowNamesTestNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "AutogrowNamesTestNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowNamesTestNode/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！ このノードは、Autogrow入力機能のテスト用です。動的な数のfloat入力を受け取り、それぞれに特定の名前をラベルとして付け、それらの値をカンマ区切りの単一の文字列に結合します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `autogrow` | FLOAT | はい | なし | 動的な入力グループです。複数のfloat入力を追加でき、それぞれに「a」「b」「c」のリストから事前定義された名前を付けます。このノードは、これらの名前付き入力の任意の組み合わせを受け入れます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `autogrow` | 動的な入力グループです。複数のfloat入力を追加でき、それぞれに「a」「b」「c」のリストから事前定義された名前を付けます。このノードは、これらの名前付き入力の任意の組み合わせを受け入れます。 | FLOAT | はい | なし | **注記:** `autogrow` 入力は動的です。ワークフローの必要に応じて、個々のfloat入力（「a」「b」「c」のいずれかの名前）を追加または削除できます。ノードは、提供されたすべての値を処理します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | 提供されたすべてのfloat入力の値をカンマで結合した単一の文字列です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 提供されたすべてのfloat入力の値をカンマで結合した単一の文字列です。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowNamesTestNode/ja.md) --- **Source fingerprint (SHA-256):** `33e8b2e2c369d06979415c31ef2623cff55d98ecf49137c5cafbeba7cc3b0451` diff --git a/ja/built-in-nodes/AutogrowPrefixTestNode.mdx b/ja/built-in-nodes/AutogrowPrefixTestNode.mdx index 9545a73c3..f5832b422 100644 --- a/ja/built-in-nodes/AutogrowPrefixTestNode.mdx +++ b/ja/built-in-nodes/AutogrowPrefixTestNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "AutogrowPrefixTestNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/en.md) AutogrowPrefixTestNodeは、入力自動拡張機能をテストするために設計されたロジックノードです。動的な数のfloat入力を受け取り、それらの値をカンマ区切りの文字列に結合して出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `autogrow` | AUTOGROW | はい | 1～10個の入力 | 1～10個のfloat値を受け入れ可能な動的な入力グループです。グループ内の各入力はFLOAT型で、最小値は1、最大値は10です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `autogrow` | 1～10個のfloat値を受け入れ可能な動的な入力グループです。グループ内の各入力はFLOAT型で、最小値は1、最大値は10です。 | AUTOGROW | はい | 1～10個の入力 | **注記:** `autogrow`入力は特別な動的入力です。このグループには最大10個までのfloat入力を追加できます。ノードは指定されたすべての値を処理します。個々のfloat入力は1～10の範囲に制限されています。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | すべての入力float値をカンマで区切った単一の文字列です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | すべての入力float値をカンマで区切った単一の文字列です。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/ja.md) --- **Source fingerprint (SHA-256):** `7ae65365f77399a2ad8358b5a1eab3f2caa39331e53dec474cdd7f2751bfff4b` diff --git a/ja/built-in-nodes/BasicGuider.mdx b/ja/built-in-nodes/BasicGuider.mdx index 4ecd38972..16652c53d 100644 --- a/ja/built-in-nodes/BasicGuider.mdx +++ b/ja/built-in-nodes/BasicGuider.mdx @@ -5,22 +5,22 @@ sidebarTitle: "BasicGuider" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicGuider/ja.md) - BasicGuiderノードは、サンプリングプロセス用のシンプルなガイダンス機構を作成します。モデルと条件付けデータを入力として受け取り、サンプリング中の生成プロセスをガイドするために使用できるガイダーオブジェクトを生成します。このノードは、制御された生成に必要な基本的なガイダンス機能を提供します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | ガイダンスに使用されるモデル | -| `コンディショニング` | CONDITIONING | はい | - | 生成プロセスをガイドする条件付けデータ | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | ガイダンスに使用されるモデル | MODEL | はい | - | +| `コンディショニング` | 生成プロセスをガイドする条件付けデータ | CONDITIONING | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `GUIDER` | GUIDER | サンプリングプロセス中に生成をガイドするために使用できるガイダーオブジェクト | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `GUIDER` | サンプリングプロセス中に生成をガイドするために使用できるガイダーオブジェクト | GUIDER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicGuider/ja.md) --- **Source fingerprint (SHA-256):** `012171caea6aacfadaabacb746be104ca783ae5ea5834cc4a67088233b835654` diff --git a/ja/built-in-nodes/BasicScheduler.mdx b/ja/built-in-nodes/BasicScheduler.mdx index 326a88912..bcf153f44 100755 --- a/ja/built-in-nodes/BasicScheduler.mdx +++ b/ja/built-in-nodes/BasicScheduler.mdx @@ -5,18 +5,16 @@ sidebarTitle: "BasicScheduler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicScheduler/ja.md) - `BasicScheduler`ノードは、指定されたスケジューラー、モデル、およびノイズ除去パラメーターに基づいて、拡散モデルのシグマ値のシーケンスを計算するように設計されています。ノイズ除去係数に基づいて総ステップ数を動的に調整し、拡散プロセスを微調整します。これにより、高度なサンプリングプロセス（マルチステージサンプリングなど）において、細かい制御が必要な各段階に正確な「レシピ」を提供します。 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | メタファー説明 | 技術的目的 | -| ----------- | ------------- | ---------- | ------- | --------- | ------------------------------ | -------------------------------- | -| `モデル` | MODEL | Input | - | - | **キャンバスの種類**: キャンバスの素材が異なると、必要な絵の具の配合も変わる | 拡散モデルオブジェクト。シグマ計算の基準を決定する | -| `スケジューラ` | COMBO[STRING] | Widget | - | 9つのオプション | **混合技法**: 絵の具の濃度変化の方法を選択する | スケジューリングアルゴリズム。ノイズ減衰モードを制御する | -| `ステップ` | INT | Widget | 20 | 1-10000 | **混合回数**: 20回の混合と50回の混合では精度が異なる | サンプリングステップ数。生成品質と速度に影響する | -| `ノイズ除去` | FLOAT | Widget | 1.0 | 0.0-1.0 | **創作強度**: 微調整から再描画までのレベルを制御する | ノイズ除去強度。部分的な再描画シナリオをサポートする | +| パラメータ | メタファー説明 | データ型 | 入力タイプ | デフォルト | 範囲 | 技術的目的 | +| --- | --- | --- | --- | --- | --- | --- | +| `モデル` | **キャンバスの種類**: キャンバスの素材が異なると、必要な絵の具の配合も変わる | MODEL | Input | - | - | 拡散モデルオブジェクト。シグマ計算の基準を決定する | +| `スケジューラ` | **混合技法**: 絵の具の濃度変化の方法を選択する | COMBO[STRING] | Widget | - | 9つのオプション | スケジューリングアルゴリズム。ノイズ減衰モードを制御する | +| `ステップ` | **混合回数**: 20回の混合と50回の混合では精度が異なる | INT | Widget | 20 | 1-10000 | サンプリングステップ数。生成品質と速度に影響する | +| `ノイズ除去` | **創作強度**: 微調整から再描画までのレベルを制御する | FLOAT | Widget | 1.0 | 0.0-1.0 | ノイズ除去強度。部分的な再描画シナリオをサポートする | ### スケジューラーの種類 @@ -36,9 +34,9 @@ mode: wide ## 出力 -| パラメータ | データ型 | 出力タイプ | メタファー説明 | 技術的意味 | -| --------- | --------- | ----------- | ------------------------------ | -------------------------------- | -| `sigmas` | SIGMAS | Output | **絵の具レシピ表**: ステップごとに使用する詳細な絵の具濃度リスト | ノイズレベルのシーケンス。拡散モデルのノイズ除去プロセスを導く | +| パラメータ | メタファー説明 | データ型 | 出力タイプ | 技術的意味 | +| --- | --- | --- | --- | --- | +| `sigmas` | **絵の具レシピ表**: ステップごとに使用する詳細な絵の具濃度リスト | SIGMAS | Output | ノイズレベルのシーケンス。拡散モデルのノイズ除去プロセスを導く | ## ノードの役割：アーティストの絵の具調合アシスタント @@ -73,4 +71,6 @@ mode: wide ### 他のノードとの連携 -`BasicScheduler` (カラーアシスタント) → レシピを準備 → `SamplerCustom` (アーティスト) → 実際に描画 → 完成作品 \ No newline at end of file +`BasicScheduler` (カラーアシスタント) → レシピを準備 → `SamplerCustom` (アーティスト) → 実際に描画 → 完成作品 + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicScheduler/ja.md) diff --git a/ja/built-in-nodes/BatchImagesMasksLatentsNode.mdx b/ja/built-in-nodes/BatchImagesMasksLatentsNode.mdx index e8b9a84a1..8bc02ce8e 100644 --- a/ja/built-in-nodes/BatchImagesMasksLatentsNode.mdx +++ b/ja/built-in-nodes/BatchImagesMasksLatentsNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "BatchImagesMasksLatentsNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesMasksLatentsNode/ja.md) - ## 概要 **バッチ画像/マスク/潜在表現**ノードは、同じタイプの複数の入力を1つのバッチに結合します。入力が画像、マスク、または潜在表現のいずれであるかを自動的に検出し、適切なバッチ処理方法を使用します。これは、バッチ入力を受け付けるノードで処理するために、複数のアイテムを準備する際に便利です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `inputs` | IMAGE、MASK、またはLATENT | はい | 1～50個の入力 | バッチに結合する動的な入力リストです。1～50個のアイテムを追加できます。すべてのアイテムは同じタイプ（すべて画像、すべてマスク、またはすべて潜在表現）である必要があります。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `inputs` | バッチに結合する動的な入力リストです。1～50個のアイテムを追加できます。すべてのアイテムは同じタイプ（すべて画像、すべてマスク、またはすべて潜在表現）である必要があります。 | IMAGE、MASK、またはLATENT | はい | 1～50個の入力 | **注意：** このノードは、`inputs`リストの最初のアイテムに基づいてデータ型（IMAGE、MASK、またはLATENT）を自動的に判別します。後続のすべてのアイテムはこの型と一致している必要があります。異なるデータ型を混在させようとすると、ノードは失敗します。 ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `output` | IMAGE、MASK、またはLATENT | 単一のバッチ出力です。データ型は入力タイプ（バッチ化されたIMAGE、バッチ化されたMASK、またはバッチ化されたLATENT）と一致します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 単一のバッチ出力です。データ型は入力タイプ（バッチ化されたIMAGE、バッチ化されたMASK、またはバッチ化されたLATENT）と一致します。 | IMAGE、MASK、またはLATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesMasksLatentsNode/ja.md) --- **Source fingerprint (SHA-256):** `6f3037bc00fd8526f42ad2d79a0f27434f58bd6dd0338a585cc707a771ac0989` diff --git a/ja/built-in-nodes/BatchImagesNode.mdx b/ja/built-in-nodes/BatchImagesNode.mdx index 4f6340d00..5f3511f6c 100644 --- a/ja/built-in-nodes/BatchImagesNode.mdx +++ b/ja/built-in-nodes/BatchImagesNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "BatchImagesNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesNode/ja.md) - このドキュメントはAIが生成しました。誤りや改善の提案がありましたら、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesNode/en.md) バッチイメージノードは、複数の個別画像を1つのバッチに結合します。可変数の画像入力を受け取り、それらを1つのバッチ化された画像テンソルとして出力し、後続のノードでまとめて処理できるようにします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | 2～50入力 | 画像入力の動的リストです。バッチに結合する画像を2～50枚追加できます。ノードインターフェースでは、必要に応じて画像入力スロットを追加できます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 画像入力の動的リストです。バッチに結合する画像を2～50枚追加できます。ノードインターフェースでは、必要に応じて画像入力スロットを追加できます。 | IMAGE | はい | 2～50入力 | **注記:** ノードを機能させるには、少なくとも2つの画像を接続する必要があります。最初の入力スロットは常に必須であり、ノードインターフェースに表示される「+」ボタンを使用してさらに追加できます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | すべての入力画像を積み重ねた、単一のバッチ化された画像テンソルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | すべての入力画像を積み重ねた、単一のバッチ化された画像テンソルです。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesNode/ja.md) --- **Source fingerprint (SHA-256):** `f756fb15760cd2518da9c3f88281d3ab3361b4c2b4820fe2be152e4db1cf102c` diff --git a/ja/built-in-nodes/BatchLatentsNode.mdx b/ja/built-in-nodes/BatchLatentsNode.mdx index b369cc548..9fa5b228e 100644 --- a/ja/built-in-nodes/BatchLatentsNode.mdx +++ b/ja/built-in-nodes/BatchLatentsNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "BatchLatentsNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchLatentsNode/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！ Batch Latentsノードは、複数の潜在入力（latent inputs）を1つのバッチに結合します。可変数の潜在サンプルを受け取り、それらをバッチ次元に沿ってマージすることで、後続のノードでまとめて処理できるようにします。これは、複数の画像を1回の操作で生成または処理する際に便利です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|-------------| -| `latent` | LATENT | はい | 2～50入力 | 1つのバッチに結合される潜在サンプルのセットです。最低2つの潜在データを指定する必要があり、最大50まで追加できます。ノードは、より多くの潜在データを接続するにつれて、自動的に入力スロットを作成します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `latent` | 1つのバッチに結合される潜在サンプルのセットです。最低2つの潜在データを指定する必要があり、最大50まで追加できます。ノードは、より多くの潜在データを接続するにつれて、自動的に入力スロットを作成します。 | LATENT | はい | 2～50入力 | **注記：** ノードを機能させるには、少なくとも2つの潜在入力を指定する必要があります。ノードは、最大50個まで潜在データを接続するにつれて、自動的に入力スロットを作成します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|----------|-------------| -| `output` | LATENT | すべての入力潜在データが1つのバッチに結合された、単一の潜在出力です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | すべての入力潜在データが1つのバッチに結合された、単一の潜在出力です。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchLatentsNode/ja.md) --- **Source fingerprint (SHA-256):** `215e7e2df43e902815dd87d228e8d5e09f18f6f52002cc3e861551fc207a9896` diff --git a/ja/built-in-nodes/BatchMasksNode.mdx b/ja/built-in-nodes/BatchMasksNode.mdx index 31bd899e2..4d09de5e0 100644 --- a/ja/built-in-nodes/BatchMasksNode.mdx +++ b/ja/built-in-nodes/BatchMasksNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "BatchMasksNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchMasksNode/ja.md) - 以下が翻訳結果です。 --- @@ -15,19 +13,21 @@ Batch Masks ノードは、複数の個別マスク入力を1つのバッチに ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `mask_0` | MASK | はい | - | 最初のマスク入力です。 | -| `mask_1` | MASK | はい | - | 2番目のマスク入力です。 | -| `mask_2` ～ `mask_49` | MASK | いいえ | - | 追加のオプションマスク入力です。このノードは、合計で最低2つ、最大50個のマスクを受け入れることができます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `mask_0` | 最初のマスク入力です。 | MASK | はい | - | +| `mask_1` | 2番目のマスク入力です。 | MASK | はい | - | +| `mask_2` ～ `mask_49` | 追加のオプションマスク入力です。このノードは、合計で最低2つ、最大50個のマスクを受け入れることができます。 | MASK | いいえ | - | **注記:** このノードは自動拡張入力テンプレートを使用します。少なくとも2つのマスク（`mask_0` と `mask_1`）を接続する必要があります。さらに最大48個のオプションマスク入力（`mask_2` ～ `mask_49`）を追加でき、合計で50個のマスクまで対応可能です。接続されたすべてのマスクは、1つのバッチに結合されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | MASK | すべての入力マスクが積み重ねられた、1つのバッチ化されたマスクです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | すべての入力マスクが積み重ねられた、1つのバッチ化されたマスクです。 | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchMasksNode/ja.md) --- **Source fingerprint (SHA-256):** `8eb7a2a2d8108b619387b049d92348b8e9fc6d5e94e78c856c8520b88cdf77f2` diff --git a/ja/built-in-nodes/BeebleSwitchXImageEdit.mdx b/ja/built-in-nodes/BeebleSwitchXImageEdit.mdx index a884901e2..ac792273e 100644 --- a/ja/built-in-nodes/BeebleSwitchXImageEdit.mdx +++ b/ja/built-in-nodes/BeebleSwitchXImageEdit.mdx @@ -5,8 +5,6 @@ sidebarTitle: "BeebleSwitchXImageEdit" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、お気軽にご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/en.md) ## 概要 @@ -15,23 +13,25 @@ Beeble SwitchXを使用して、1枚の画像を編集します。このノー ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 編集する元の画像です。 | -| `プロンプト` | STRING | はい | - | 希望する新しい外観のテキストによる説明です（例：「輝く鎧を着た騎士」）。 | -| `アルファモード` | COMBO | はい | `"select"`
`"fill"`
`"custom"` | アルファマットの処理方法を指定します。"select"はキーフレームを使用して被写体を選択し、"fill"は個別のマットなしで画像全体を置き換え、"custom"はユーザー提供のマスクを使用します。 | -| `最大解像度` | COMBO | はい | `"1080p"`
`"720p"` | 出力画像の最大解像度です。解像度が高いほど、消費クレジットが増加します。 | -| `シード` | INT | はい | - | 再現性のためのシード値です。 | -| `参照画像` | IMAGE | いいえ | - | 新しいシーン要素のスタイルや外観をガイドするための、オプションの参照画像です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 編集する元の画像です。 | IMAGE | はい | - | +| `プロンプト` | 希望する新しい外観のテキストによる説明です（例：「輝く鎧を着た騎士」）。 | STRING | はい | - | +| `アルファモード` | アルファマットの処理方法を指定します。"select"はキーフレームを使用して被写体を選択し、"fill"は個別のマットなしで画像全体を置き換え、"custom"はユーザー提供のマスクを使用します。 | COMBO | はい | `"select"`
`"fill"`
`"custom"` | +| `最大解像度` | 出力画像の最大解像度です。解像度が高いほど、消費クレジットが増加します。 | COMBO | はい | `"1080p"`
`"720p"` | +| `シード` | 再現性のためのシード値です。 | INT | はい | - | +| `参照画像` | 新しいシーン要素のスタイルや外観をガイドするための、オプションの参照画像です。 | IMAGE | いいえ | - | **`alpha_mode`に関する注意:** `alpha_mode`が`"select"`に設定されている場合、`alpha_keyframe`（被写体を選択するために使用するキーフレーム画像）も提供する必要があります。`"custom"`に設定されている場合、`alpha_mask`（ユーザー作成のマスク）を提供する必要があります。`"fill"`に設定されている場合、アルファ入力は不要です。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `アルファ` | IMAGE | シーン要素が切り替えられた編集済み画像です。 | -| `alpha` | MASK | Beebleによって使用されたアルファマットです。"fill"モードの場合は空で、個別のマットはありません。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `アルファ` | シーン要素が切り替えられた編集済み画像です。 | IMAGE | +| `alpha` | Beebleによって使用されたアルファマットです。"fill"モードの場合は空で、個別のマットはありません。 | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/ja.md) --- **Source fingerprint (SHA-256):** `41f23435686626e3ade28708fcb1da192ded347b210080ee9b17834ea8b727fb` diff --git a/ja/built-in-nodes/BeebleSwitchXVideoEdit.mdx b/ja/built-in-nodes/BeebleSwitchXVideoEdit.mdx index 29a5abd42..cbab54631 100644 --- a/ja/built-in-nodes/BeebleSwitchXVideoEdit.mdx +++ b/ja/built-in-nodes/BeebleSwitchXVideoEdit.mdx @@ -5,8 +5,6 @@ sidebarTitle: "BeebleSwitchXVideoEdit" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXVideoEdit/ja.md) - あなたは ComfyUI ノードドキュメントを英語から日本語に翻訳する技術翻訳の専門家です。 ## 翻訳ルール @@ -41,14 +39,14 @@ Beeble SwitchX を使用してビデオを編集します。このノードは ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `動画` | VIDEO | はい | N/A | 編集する入力ビデオ。最大240フレーム、フレームあたり最大約2.77メガピクセル。 | -| `プロンプト` | STRING | はい | N/A | シーンに望む新しい外観のテキストによる説明。 | -| `アルファモード` | COMBO | はい | `"fill"`
`"select"`
`"custom"` | アルファマットモード。"fill"モードは個別のマットがなく、フレーム全体を塗りつぶします。"select"モードは単一のキーフレーム画像を使用して編集する領域を定義します。"custom"モードはフルアルファビデオを使用して、フレームごとに編集する領域を定義します。 | -| `最大解像度` | COMBO | はい | `"720p"`
`"1080p"` | 出力ビデオの最大解像度（デフォルト："1080p"）。 | -| `シード` | INT | はい | 0 ～ 2147483647 | 再現性のためのシード値。同じシードと入力で同じ結果が得られます。 | -| `参照画像` | IMAGE | いいえ | N/A | シーンに望む新しい外観を説明するためのオプションの参照画像。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `動画` | 編集する入力ビデオ。最大240フレーム、フレームあたり最大約2.77メガピクセル。 | VIDEO | はい | N/A | +| `プロンプト` | シーンに望む新しい外観のテキストによる説明。 | STRING | はい | N/A | +| `アルファモード` | アルファマットモード。"fill"モードは個別のマットがなく、フレーム全体を塗りつぶします。"select"モードは単一のキーフレーム画像を使用して編集する領域を定義します。"custom"モードはフルアルファビデオを使用して、フレームごとに編集する領域を定義します。 | COMBO | はい | `"fill"`
`"select"`
`"custom"` | +| `最大解像度` | 出力ビデオの最大解像度（デフォルト："1080p"）。 | COMBO | はい | `"720p"`
`"1080p"` | +| `シード` | 再現性のためのシード値。同じシードと入力で同じ結果が得られます。 | INT | はい | 0 ～ 2147483647 | +| `参照画像` | シーンに望む新しい外観を説明するためのオプションの参照画像。 | IMAGE | いいえ | N/A | ### アルファモードの詳細 @@ -62,10 +60,12 @@ Beeble SwitchX を使用してビデオを編集します。このノードは ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `アルファ` | VIDEO | シーンの変更が適用された編集済みビデオ。 | -| `alpha` | VIDEO | Beeble によって使用されたアルファマット。"fill"モードの場合は空で、個別のマットはありません。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `アルファ` | シーンの変更が適用された編集済みビデオ。 | VIDEO | +| `alpha` | Beeble によって使用されたアルファマット。"fill"モードの場合は空で、個別のマットはありません。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXVideoEdit/ja.md) --- **Source fingerprint (SHA-256):** `e2d67b037863f024f42c97943ec0d2daf32b547b232a7dfedd6de398f4b7ba28` diff --git a/ja/built-in-nodes/BetaSamplingScheduler.mdx b/ja/built-in-nodes/BetaSamplingScheduler.mdx index 8b82db502..dfe411f06 100644 --- a/ja/built-in-nodes/BetaSamplingScheduler.mdx +++ b/ja/built-in-nodes/BetaSamplingScheduler.mdx @@ -5,24 +5,24 @@ sidebarTitle: "BetaSamplingScheduler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BetaSamplingScheduler/ja.md) - BetaSamplingScheduler ノードは、ベータスケジューリングアルゴリズムを使用して、サンプリングプロセス用のノイズレベル（シグマ）のシーケンスを生成します。モデルと設定パラメータを受け取り、画像生成中のノイズ除去プロセスを制御するカスタマイズされたノイズスケジュールを作成します。このスケジューラーは、アルファパラメータとベータパラメータを通じてノイズ低減の軌跡を微調整することができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | サンプリングに使用するモデルです。モデルサンプリングオブジェクトを提供します | -| `ステップ` | INT | はい | 1 ～ 10000 | シグマを生成するサンプリングステップ数です（デフォルト：20） | -| `アルファ` | FLOAT | はい | 0.0 ～ 50.0 | ベータスケジューラーのアルファパラメータで、スケジューリング曲線を制御します（デフォルト：0.6） | -| `ベータ` | FLOAT | はい | 0.0 ～ 50.0 | ベータスケジューラーのベータパラメータで、スケジューリング曲線を制御します（デフォルト：0.6） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | サンプリングに使用するモデルです。モデルサンプリングオブジェクトを提供します | MODEL | はい | - | +| `ステップ` | シグマを生成するサンプリングステップ数です（デフォルト：20） | INT | はい | 1 ～ 10000 | +| `アルファ` | ベータスケジューラーのアルファパラメータで、スケジューリング曲線を制御します（デフォルト：0.6） | FLOAT | はい | 0.0 ～ 50.0 | +| `ベータ` | ベータスケジューラーのベータパラメータで、スケジューリング曲線を制御します（デフォルト：0.6） | FLOAT | はい | 0.0 ～ 50.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `SIGMAS` | SIGMAS | サンプリングプロセスで使用されるノイズレベル（シグマ）のシーケンスです | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `SIGMAS` | サンプリングプロセスで使用されるノイズレベル（シグマ）のシーケンスです | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BetaSamplingScheduler/ja.md) --- **Source fingerprint (SHA-256):** `8b3d17ef737107da3d5cacc84278de8a93f6889e6567619012729b205bbc421e` diff --git a/ja/built-in-nodes/BriaImageEditNode.mdx b/ja/built-in-nodes/BriaImageEditNode.mdx index ba7699cd7..69013830c 100644 --- a/ja/built-in-nodes/BriaImageEditNode.mdx +++ b/ja/built-in-nodes/BriaImageEditNode.mdx @@ -5,24 +5,22 @@ sidebarTitle: "BriaImageEditNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaImageEditNode/ja.md) - Bria FIBO 画像編集ノードを使用すると、テキスト指示に基づいて既存の画像を変更できます。このノードは画像とプロンプトを Bria API に送信し、Bria API が FIBO モデルを使用して、リクエストに基づいた新しい編集済み画像を生成します。マスクを指定して、編集範囲を特定の領域に限定することもできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"FIBO"` | 画像編集に使用するモデルバージョン。 | -| `画像` | IMAGE | はい | - | 編集したい入力画像。 | -| `プロンプト` | STRING | いいえ | - | 画像の編集方法を説明するテキスト指示（デフォルト：空）。 | -| `ネガティブプロンプト` | STRING | いいえ | - | 編集後の画像に表示させたくない内容を説明するテキスト（デフォルト：空）。 | -| `構造化プロンプト` | STRING | いいえ | - | JSON 形式の構造化編集プロンプトを含む文字列。通常のプロンプトの代わりに、正確でプログラムによる制御のために使用します（デフォルト：空）。 | -| `シード` | INT | はい | 1 ～ 2147483647 | ランダム生成を初期化するための数値。再現可能な結果を保証します（デフォルト：1）。 | -| `ガイダンススケール` | FLOAT | はい | 3.0 ～ 5.0 | 生成画像がプロンプトにどの程度従うかを制御します。値が大きいほど、より強く従います（デフォルト：3.0）。 | -| `ステップ数` | INT | はい | 20 ～ 50 | モデルが実行するノイズ除去ステップ数（デフォルト：50）。 | -| `モデレーション` | DYNAMICCOMBO | はい | `"false"`
`"true"` | コンテンツモデレーションを有効または無効にします。`"true"` を選択すると、プロンプトコンテンツ、視覚入力、視覚出力に関する追加のモデレーションオプションが表示されます。 | -| `マスク` | MASK | いいえ | - | オプションのマスク画像。指定した場合、編集は画像のマスクされた領域にのみ適用されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 画像編集に使用するモデルバージョン。 | COMBO | はい | `"FIBO"` | +| `画像` | 編集したい入力画像。 | IMAGE | はい | - | +| `プロンプト` | 画像の編集方法を説明するテキスト指示（デフォルト：空）。 | STRING | いいえ | - | +| `ネガティブプロンプト` | 編集後の画像に表示させたくない内容を説明するテキスト（デフォルト：空）。 | STRING | いいえ | - | +| `構造化プロンプト` | JSON 形式の構造化編集プロンプトを含む文字列。通常のプロンプトの代わりに、正確でプログラムによる制御のために使用します（デフォルト：空）。 | STRING | いいえ | - | +| `シード` | ランダム生成を初期化するための数値。再現可能な結果を保証します（デフォルト：1）。 | INT | はい | 1 ～ 2147483647 | +| `ガイダンススケール` | 生成画像がプロンプトにどの程度従うかを制御します。値が大きいほど、より強く従います（デフォルト：3.0）。 | FLOAT | はい | 3.0 ～ 5.0 | +| `ステップ数` | モデルが実行するノイズ除去ステップ数（デフォルト：50）。 | INT | はい | 20 ～ 50 | +| `モデレーション` | コンテンツモデレーションを有効または無効にします。`"true"` を選択すると、プロンプトコンテンツ、視覚入力、視覚出力に関する追加のモデレーションオプションが表示されます。 | DYNAMICCOMBO | はい | `"false"`
`"true"` | +| `マスク` | オプションのマスク画像。指定した場合、編集は画像のマスクされた領域にのみ適用されます。 | MASK | いいえ | - | **重要な制約事項：** @@ -32,10 +30,12 @@ Bria FIBO 画像編集ノードを使用すると、テキスト指示に基づ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `構造化プロンプト` | IMAGE | Bria API から返された編集済み画像。 | -| `構造化プロンプト` | STRING | 編集処理中に使用または生成された構造化プロンプト。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `構造化プロンプト` | Bria API から返された編集済み画像。 | IMAGE | +| `構造化プロンプト` | 編集処理中に使用または生成された構造化プロンプト。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaImageEditNode/ja.md) --- **Source fingerprint (SHA-256):** `30148261f43f5bfd14339f5ff1ec250381a615cc05c67eee21b0a2423ebe349d` diff --git a/ja/built-in-nodes/BriaRemoveImageBackground.mdx b/ja/built-in-nodes/BriaRemoveImageBackground.mdx index df5a1450f..9f069a680 100644 --- a/ja/built-in-nodes/BriaRemoveImageBackground.mdx +++ b/ja/built-in-nodes/BriaRemoveImageBackground.mdx @@ -5,27 +5,27 @@ sidebarTitle: "BriaRemoveImageBackground" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveImageBackground/ja.md) - このノードは、Bria RMBG 2.0サービスを使用して画像から背景を除去します。画像を外部APIに送信して処理し、背景が除去された結果を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 背景を除去する入力画像です。 | -| `モデレーション` | COMBO | いいえ | `"false"`
`"true"` | モデレーション設定です。`"true"`に設定すると、追加のモデレーションオプションが利用可能になります。 | -| `visual_input_moderation` | BOOLEAN | いいえ | - | 入力画像に対するビジュアルコンテンツモデレーションを有効にします。このパラメータは、`モデレーション`が`"true"`に設定されている場合のみ利用可能です。デフォルト：`False`。 | -| `visual_output_moderation` | BOOLEAN | いいえ | - | 出力画像に対するビジュアルコンテンツモデレーションを有効にします。このパラメータは、`モデレーション`が`"true"`に設定されている場合のみ利用可能です。デフォルト：`True`。 | -| `シード` | INT | いいえ | 0～2147483647 | ノードを再実行するかどうかを制御するシード値です。シード値に関係なく、結果は非決定的です。デフォルト：`0`。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 背景を除去する入力画像です。 | IMAGE | はい | - | +| `モデレーション` | モデレーション設定です。`"true"`に設定すると、追加のモデレーションオプションが利用可能になります。 | COMBO | いいえ | `"false"`
`"true"` | +| `visual_input_moderation` | 入力画像に対するビジュアルコンテンツモデレーションを有効にします。このパラメータは、`モデレーション`が`"true"`に設定されている場合のみ利用可能です。デフォルト：`False`。 | BOOLEAN | いいえ | - | +| `visual_output_moderation` | 出力画像に対するビジュアルコンテンツモデレーションを有効にします。このパラメータは、`モデレーション`が`"true"`に設定されている場合のみ利用可能です。デフォルト：`True`。 | BOOLEAN | いいえ | - | +| `シード` | ノードを再実行するかどうかを制御するシード値です。シード値に関係なく、結果は非決定的です。デフォルト：`0`。 | INT | いいえ | 0～2147483647 | **注記：** `visual_input_moderation`および`visual_output_moderation`パラメータは、`moderation`パラメータに依存します。これらは、`moderation`が`"true"`に設定されている場合のみアクティブになり、必須となります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 背景が除去された処理済み画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 背景が除去された処理済み画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveImageBackground/ja.md) --- **Source fingerprint (SHA-256):** `2b2dd3ca0d026af1a2bf3f7222165928527b05b65817073b50230ff18d39bc6c` diff --git a/ja/built-in-nodes/BriaRemoveVideoBackground.mdx b/ja/built-in-nodes/BriaRemoveVideoBackground.mdx index c3629f030..40ed1ad14 100644 --- a/ja/built-in-nodes/BriaRemoveVideoBackground.mdx +++ b/ja/built-in-nodes/BriaRemoveVideoBackground.mdx @@ -5,25 +5,25 @@ sidebarTitle: "BriaRemoveVideoBackground" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/ja.md) - このノードは、Bria AIサービスを使用して動画から背景を除去します。入力された動画を処理し、元の背景をお好みの単色に置き換えます。この処理は外部APIを介して実行され、結果は新しい動画ファイルとして返されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `動画` | VIDEO | はい | なし | 背景を除去する入力動画ファイル。 | -| `背景色` | STRING | はい | `"Black"`
`"White"`
`"Gray"`
`"Red"`
`"Green"`
`"Blue"`
`"Yellow"`
`"Cyan"`
`"Magenta"`
`"Orange"` | 出力動画の新しい背景として使用する単色。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを制御するシード値。シード値に関わらず、結果は非決定的です。（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `動画` | 背景を除去する入力動画ファイル。 | VIDEO | はい | なし | +| `背景色` | 出力動画の新しい背景として使用する単色。 | STRING | はい | `"Black"`
`"White"`
`"Gray"`
`"Red"`
`"Green"`
`"Blue"`
`"Yellow"`
`"Cyan"`
`"Magenta"`
`"Orange"` | +| `シード` | ノードを再実行するかどうかを制御するシード値。シード値に関わらず、結果は非決定的です。（デフォルト：0） | INT | いいえ | 0 ～ 2147483647 | **注記：** 入力動画の長さは60秒以下である必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 背景が除去され、選択した色に置き換えられた処理済み動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 背景が除去され、選択した色に置き換えられた処理済み動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/ja.md) --- **Source fingerprint (SHA-256):** `51499fc006d3fd3fd45f8aad686d92537d399255b3a583fd54b77c5a0698a068` diff --git a/ja/built-in-nodes/BriaTransparentVideoBackground.mdx b/ja/built-in-nodes/BriaTransparentVideoBackground.mdx new file mode 100644 index 000000000..1810f0e7a --- /dev/null +++ b/ja/built-in-nodes/BriaTransparentVideoBackground.mdx @@ -0,0 +1,29 @@ +--- +title: "BriaTransparentVideoBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaTransparentVideoBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BriaTransparentVideoBackground" +icon: "circle" +mode: wide +--- +# Bria 動画背景削除（透明） + +このノードは、Bria の AI サービスを使用して動画から背景を削除し、切り抜かれたフレームとアルファマスクを出力します。両方の出力をコンポジットノードに接続するか、Save WEBM ノードに渡して透明動画を書き出します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|------|---------|------|------| +| `video` | 処理する入力動画 | VIDEO | はい | - | +| `seed` | ノードを再実行するかどうかを制御するシード値。シードに関わらず結果は非決定的です（デフォルト: 0） | INT | はい | 0 ～ 2147483647 | + +## 出力 + +| 出力名 | 説明 | データ型 | +|--------|------|---------| +| `マスク` | 背景が除去された動画フレーム | IMAGE | +| `mask` | 動画フレームのアルファマスク | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaTransparentVideoBackground/ja.md) + +--- +**Source fingerprint (SHA-256):** `45fb3fc185b5c6420d6ac2b87f2403566e1ef6dcdc57791fb833b6ccb2a64cd9` diff --git a/ja/built-in-nodes/BriaVideoGreenScreen.mdx b/ja/built-in-nodes/BriaVideoGreenScreen.mdx new file mode 100644 index 000000000..28c8e9b72 --- /dev/null +++ b/ja/built-in-nodes/BriaVideoGreenScreen.mdx @@ -0,0 +1,31 @@ +--- +title: "BriaVideoGreenScreen - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaVideoGreenScreen node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BriaVideoGreenScreen" +icon: "circle" +mode: wide +--- +# Bria ビデオグリーンスクリーン + +このノードは、Bria APIを使用してビデオの背景を単一色のクロマキー画面に置き換えます。入力ビデオを処理し、元の背景が除去されて均一なグリーンまたはブルースクリーンの色に置き換えられた新しいビデオを返します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `video` | 処理する入力ビデオ | VIDEO | はい | ビデオファイル | +| `green_shade` | 前景の背後に適用される単一色のクロマキーシェード：broadcast_green（#00B140）、chroma_green（#00FF00）、またはblue_screen（#0000FF） | STRING | はい | `"broadcast_green"`
`"chroma_green"`
`"blue_screen"` | +| `seed` | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト：0） | INT | はい | 0～2147483647 | + +**注意：** 入力ビデオの長さは60秒を超えてはなりません。 + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `video` | 元の背景が選択されたクロマキーシェードに置き換えられた処理済みビデオ | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaVideoGreenScreen/ja.md) + +--- +**Source fingerprint (SHA-256):** `663b41bf51bd8d871a59e756f226e4bf6244bb616ebcd2e8ccfa426137f2a05b` diff --git a/ja/built-in-nodes/BriaVideoReplaceBackground.mdx b/ja/built-in-nodes/BriaVideoReplaceBackground.mdx new file mode 100644 index 000000000..fe47b9613 --- /dev/null +++ b/ja/built-in-nodes/BriaVideoReplaceBackground.mdx @@ -0,0 +1,32 @@ +--- +title: "BriaVideoReplaceBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaVideoReplaceBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BriaVideoReplaceBackground" +icon: "circle" +mode: wide +--- +# Bria ビデオ背景置換 + +このノードは、Bria の API を使用して、ビデオの背景を指定された画像またはビデオに置き換えます。出力は前景ビデオの解像度とフレームレートを維持します。アスペクト比が異なる背景は引き伸ばされて適合するため、アスペクト比を一致させると歪みのない結果が得られます。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `video` | 背景を置き換える前景ビデオ。 | VIDEO | はい | - | +| `background_image` | 前景の背後に合成する背景画像。背景画像または背景ビデオのいずれか一方を指定してください。両方は指定できません。 | IMAGE | いいえ | - | +| `background_video` | 前景の背後に合成する背景ビデオ。背景画像または背景ビデオのいずれか一方を指定してください。両方は指定できません。 | VIDEO | いいえ | - | +| `seed` | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です。（デフォルト：0） | INT | はい | 0 ～ 2147483647 | + +**注記：** `background_image` または `background_video` のいずれか一方のみを正確に指定する必要があります。両方の指定や、どちらも指定しないことはできません。前景ビデオは 60 秒以下である必要があります。 + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `video` | 背景が置き換えられた結果のビデオ。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaVideoReplaceBackground/ja.md) + +--- +**Source fingerprint (SHA-256):** `4eb9650e5ca88baf2a91a9309b87936b3d18b88e314a56ab4c73d06a9143c645` diff --git a/ja/built-in-nodes/ByteDance2FirstLastFrameNode.mdx b/ja/built-in-nodes/ByteDance2FirstLastFrameNode.mdx index 866b1fee2..0072b090b 100644 --- a/ja/built-in-nodes/ByteDance2FirstLastFrameNode.mdx +++ b/ja/built-in-nodes/ByteDance2FirstLastFrameNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "ByteDance2FirstLastFrameNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/ja.md) - このノードは、ByteDance の Seedance 2.0 モデルを使用して動画を生成します。テキストプロンプトと必須の最初のフレーム画像に基づいて動画を作成します。オプションで最後のフレーム画像を指定すると、動画シーケンスの終了をガイドできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | 動画生成に使用するモデルです。Seedance 2.0 は最高品質を追求し、Seedance 2.0 Fast は速度を最適化しています。モデルを選択すると、`prompt`、`resolution`、`ratio`、`duration`、`generate_audio` の追加入力が表示されます。 | -| `最初のフレーム` | IMAGE | いいえ | - | 動画の最初のフレームとして使用する画像です。 | -| `最後のフレーム` | IMAGE | いいえ | - | 動画の最後のフレームとして使用する画像です。 | -| `first_frame_asset_id` | STRING | いいえ | - | 最初のフレームとして使用する Seedance の asset_id です。`最初のフレーム` 画像入力と同時に使用することはできません。デフォルトは空の文字列です。 | -| `last_frame_asset_id` | STRING | いいえ | - | 最後のフレームとして使用する Seedance の asset_id です。`最後のフレーム` 画像入力と同時に使用することはできません。デフォルトは空の文字列です。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | シード値です。このシードを変更するとノードが再実行されますが、結果は非決定的です。デフォルトは 0 です。 | -| `ウォーターマーク` | BOOLEAN | いいえ | - | 生成された動画に透かしを追加するかどうかです。デフォルトは False です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画生成に使用するモデルです。Seedance 2.0 は最高品質を追求し、Seedance 2.0 Fast は速度を最適化しています。モデルを選択すると、`prompt`、`resolution`、`ratio`、`duration`、`generate_audio` の追加入力が表示されます。 | COMBO | はい | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | +| `最初のフレーム` | 動画の最初のフレームとして使用する画像です。 | IMAGE | いいえ | - | +| `最後のフレーム` | 動画の最後のフレームとして使用する画像です。 | IMAGE | いいえ | - | +| `first_frame_asset_id` | 最初のフレームとして使用する Seedance の asset_id です。`最初のフレーム` 画像入力と同時に使用することはできません。デフォルトは空の文字列です。 | STRING | いいえ | - | +| `last_frame_asset_id` | 最後のフレームとして使用する Seedance の asset_id です。`最後のフレーム` 画像入力と同時に使用することはできません。デフォルトは空の文字列です。 | STRING | いいえ | - | +| `シード` | シード値です。このシードを変更するとノードが再実行されますが、結果は非決定的です。デフォルトは 0 です。 | INT | いいえ | 0 ～ 2147483647 | +| `ウォーターマーク` | 生成された動画に透かしを追加するかどうかです。デフォルトは False です。 | BOOLEAN | いいえ | - | **パラメータの制約:** * `first_frame` 画像 **または** `first_frame_asset_id` の**いずれか**を指定する必要があります。両方を指定するとエラーが発生します。 @@ -28,9 +26,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画です。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/ja.md) --- **Source fingerprint (SHA-256):** `2c9c1fe8fddd0c3e1c356d2b93a06a07f83db8f7a0380e94629a91ce1ff1e29a` diff --git a/ja/built-in-nodes/ByteDance2ReferenceNode.mdx b/ja/built-in-nodes/ByteDance2ReferenceNode.mdx index eadc114c4..1a73c4601 100644 --- a/ja/built-in-nodes/ByteDance2ReferenceNode.mdx +++ b/ja/built-in-nodes/ByteDance2ReferenceNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ByteDance2ReferenceNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/ja.md) - 以下が翻訳結果です。 ## 概要 概要 @@ -15,11 +13,11 @@ ByteDance Seedance 2.0 参照動画ノードは、Seedance 2.0 AIモデルを使 ## 入力 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | 使用するAIモデル。Seedance 2.0は最高品質を目指す場合、Seedance 2.0 Fastは速度を最適化したモデルです。モデルを選択すると、`prompt`、`resolution`、`duration`、`ratio`、`generate_audio`の追加必須入力と、`reference_images`、`reference_videos`、`reference_audios`、`reference_assets`、`auto_downscale`のオプション入力が表示されます。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを制御するために使用される数値。シード値に関係なく、結果は非決定的です（デフォルト：0）。 | -| `ウォーターマーク` | BOOLEAN | いいえ | `True` / `False` | 生成された動画に透かしを追加するかどうか（デフォルト：False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 使用するAIモデル。Seedance 2.0は最高品質を目指す場合、Seedance 2.0 Fastは速度を最適化したモデルです。モデルを選択すると、`prompt`、`resolution`、`duration`、`ratio`、`generate_audio`の追加必須入力と、`reference_images`、`reference_videos`、`reference_audios`、`reference_assets`、`auto_downscale`のオプション入力が表示されます。 | COMBO | はい | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | +| `シード` | ノードを再実行するかどうかを制御するために使用される数値。シード値に関係なく、結果は非決定的です（デフォルト：0）。 | INT | いいえ | 0 ～ 2147483647 | +| `ウォーターマーク` | 生成された動画に透かしを追加するかどうか（デフォルト：False）。 | BOOLEAN | いいえ | `True` / `False` | **重要な制約事項：** * ノードを動作させるには、少なくとも1つの参照画像または参照動画（`reference_images`、`reference_videos`、または`reference_assets`入力で提供）が必要です。 @@ -31,9 +29,11 @@ ByteDance Seedance 2.0 参照動画ノードは、Seedance 2.0 AIモデルを使 ## 出力 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video` | VIDEO | 生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video` | 生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/ja.md) --- **Source fingerprint (SHA-256):** `72c8a2f821b9fb9853a4d0428785c432d0852ae562080292817f8a7d52967c7f` diff --git a/ja/built-in-nodes/ByteDance2TextToVideoNode.mdx b/ja/built-in-nodes/ByteDance2TextToVideoNode.mdx index 9f094cb8c..7b7856154 100644 --- a/ja/built-in-nodes/ByteDance2TextToVideoNode.mdx +++ b/ja/built-in-nodes/ByteDance2TextToVideoNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ByteDance2TextToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/ja.md) - このノードは、ByteDanceのSeedance 2.0 APIを使用して、テキスト記述から動画を生成します。プロンプトを選択したモデルに送信し、動画が処理されるのを待って、最終結果を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | 動画生成に使用するモデルです。モデルを選択すると、プロンプト、解像度、アスペクト比、長さ、音声生成に必要な追加の入力項目が表示されます。「Seedance 2.0」は最高品質を、「Seedance 2.0 Fast」は速度の最適化を目的としています。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | シード値（デフォルト：0）です。この値が変更されるとノードは再実行されますが、シードに関係なく結果は非決定的です。 | -| `ウォーターマーク` | BOOLEAN | いいえ | True / False | 動画に透かしを追加するかどうか（デフォルト：False）です。これは詳細設定です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画生成に使用するモデルです。モデルを選択すると、プロンプト、解像度、アスペクト比、長さ、音声生成に必要な追加の入力項目が表示されます。「Seedance 2.0」は最高品質を、「Seedance 2.0 Fast」は速度の最適化を目的としています。 | COMBO | はい | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | +| `シード` | シード値（デフォルト：0）です。この値が変更されるとノードは再実行されますが、シードに関係なく結果は非決定的です。 | INT | いいえ | 0 ～ 2147483647 | +| `ウォーターマーク` | 動画に透かしを追加するかどうか（デフォルト：False）です。これは詳細設定です。 | BOOLEAN | いいえ | True / False | **注記：** `model`パラメータは動的なコンボボックスです。モデルを選択すると、テキストプロンプト、解像度、アスペクト比、長さ、音声生成の有無など、入力が必要ないくつかの必須サブパラメータが表示されます。プロンプトテキストは、空白を削除した後に少なくとも1文字以上の長さが必要です。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video` | VIDEO | 生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video` | 生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `f8552e47667ff4b1ad3c8c1c074d70bdc45227b79b026b4b3c06986443655473` diff --git a/ja/built-in-nodes/ByteDanceCreateImageAsset.mdx b/ja/built-in-nodes/ByteDanceCreateImageAsset.mdx index addcf1c25..03a094698 100644 --- a/ja/built-in-nodes/ByteDanceCreateImageAsset.mdx +++ b/ja/built-in-nodes/ByteDanceCreateImageAsset.mdx @@ -5,16 +5,14 @@ sidebarTitle: "ByteDanceCreateImageAsset" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/ja.md) - このノードは、ByteDance の Seedance 2.0 サービス用に個人画像アセットを作成します。入力画像をアップロードし、指定されたアセットグループに登録します。グループ ID が指定されていない場合は、ブラウザで実在人物認証プロセスを開始し、新しいグループを作成してからアセットを追加します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | | 個人アセットとして登録する画像です。 | -| `group_id` | STRING | いいえ | | 既存の Seedance アセットグループ ID を再利用し、同一人物に対する繰り返しの本人確認をスキップします。ブラウザで実在人物認証を実行し、新しいグループを作成する場合は空のままにします（デフォルト：空）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | 個人アセットとして登録する画像です。 | IMAGE | はい | | +| `group_id` | 既存の Seedance アセットグループ ID を再利用し、同一人物に対する繰り返しの本人確認をスキップします。ブラウザで実在人物認証を実行し、新しいグループを作成する場合は空のままにします（デフォルト：空）。 | STRING | いいえ | | **画像の制約：** * 画像の幅は 300 ～ 6000 ピクセルである必要があります。 @@ -23,10 +21,12 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `group_id` | STRING | 新しく作成された画像アセットの一意の識別子です。 | -| `group_id` | STRING | アセットグループの識別子です。指定された `group_id` または新しく作成された ID になります。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `group_id` | 新しく作成された画像アセットの一意の識別子です。 | STRING | +| `group_id` | アセットグループの識別子です。指定された `group_id` または新しく作成された ID になります。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/ja.md) --- **Source fingerprint (SHA-256):** `b8b7b4cbbc16a8bb0102982757496ad4e8140bd87155902668c0be0d8b4d3d98` diff --git a/ja/built-in-nodes/ByteDanceCreateVideoAsset.mdx b/ja/built-in-nodes/ByteDanceCreateVideoAsset.mdx index b26659f8d..dfaeccb50 100644 --- a/ja/built-in-nodes/ByteDanceCreateVideoAsset.mdx +++ b/ja/built-in-nodes/ByteDanceCreateVideoAsset.mdx @@ -5,16 +5,14 @@ sidebarTitle: "ByteDanceCreateVideoAsset" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/ja.md) - このノードは、Seedance 2.0 用の個人用ビデオアセットを作成します。入力ビデオをアップロードし、指定されたアセットグループに登録します。グループ ID を指定しない場合は、ブラウザで実在確認プロセスを案内し、最初に新しいグループを作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | はい | - | 個人用アセットとして登録するビデオ。 | -| `group_id` | STRING | いいえ | - | 既存の Seedance アセットグループ ID を再利用して、同じ人物に対する繰り返しの実在確認をスキップします。空のままにすると、ブラウザで実在認証を実行し、新しいグループを作成します。（デフォルト：空文字列） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `video` | 個人用アセットとして登録するビデオ。 | VIDEO | はい | - | +| `group_id` | 既存の Seedance アセットグループ ID を再利用して、同じ人物に対する繰り返しの実在確認をスキップします。空のままにすると、ブラウザで実在認証を実行し、新しいグループを作成します。（デフォルト：空文字列） | STRING | いいえ | - | **ビデオの制約：** * **長さ：** 2秒から15秒の間である必要があります。 @@ -25,10 +23,12 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `group_id` | STRING | 新しく作成されたビデオアセットの一意の識別子。 | -| `group_id` | STRING | 新しいビデオを含むアセットグループの識別子。これは、指定された `group_id` または新しく作成されたものになります。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `group_id` | 新しく作成されたビデオアセットの一意の識別子。 | STRING | +| `group_id` | 新しいビデオを含むアセットグループの識別子。これは、指定された `group_id` または新しく作成されたものになります。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/ja.md) --- **Source fingerprint (SHA-256):** `9da0872cf8df32765e3fb1eef50bc24f53b65e069d8ef2609de1075d89edd605` diff --git a/ja/built-in-nodes/ByteDanceFirstLastFrameNode.mdx b/ja/built-in-nodes/ByteDanceFirstLastFrameNode.mdx index c46590afc..0fc9c2d4e 100644 --- a/ja/built-in-nodes/ByteDanceFirstLastFrameNode.mdx +++ b/ja/built-in-nodes/ByteDanceFirstLastFrameNode.mdx @@ -5,33 +5,33 @@ sidebarTitle: "ByteDanceFirstLastFrameNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/ja.md) - 以下が翻訳結果です。 このノードは、テキストプロンプトと最初と最後のフレーム画像を使用して動画を生成します。あなたの説明と2つのキーフレームを基に、それらの間を遷移する完全な動画シーケンスを作成します。このノードは、動画の解像度、アスペクト比、長さ、およびその他の生成パラメータを制御するためのさまざまなオプションを提供します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"` | 動画生成に使用するモデル（デフォルト: `"seedance-1-0-lite-i2v-250428"`）。 | -| `プロンプト` | STRING | はい | - | 動画生成に使用するテキストプロンプト。 | -| `最初のフレーム` | IMAGE | はい | - | 動画に使用する最初のフレーム。300x300 から 6000x6000 ピクセルの間で、アスペクト比は 0.4 から 2.5 の間である必要があります。 | -| `最後のフレーム` | IMAGE | はい | - | 動画に使用する最後のフレーム。300x300 から 6000x6000 ピクセルの間で、アスペクト比は 0.4 から 2.5 の間である必要があります。 | -| `解像度` | COMBO | はい | `"480p"`
`"720p"`
`"1080p"` | 出力動画の解像度。 | -| `アスペクト比` | COMBO | はい | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | 出力動画のアスペクト比（デフォルト: `"adaptive"`）。 | -| `再生時間` | INT | はい | 3 - 12 | 出力動画の長さ（秒）（デフォルト: 5）。注: `seedance-1-5-pro-251215` モデルの場合、サポートされる最小の長さは 4 秒です。 | -| `シード` | INT | いいえ | 0 - 2147483647 | 生成に使用するシード値（デフォルト: 0）。 | -| `カメラ固定` | BOOLEAN | いいえ | - | カメラを固定するかどうかを指定します。プラットフォームはプロンプトにカメラを固定する指示を追加しますが、実際の効果は保証されません（デフォルト: False）。 | -| `ウォーターマーク` | BOOLEAN | いいえ | - | 動画に「AI 生成」の透かしを追加するかどうか（デフォルト: False）。 | -| `generate_audio` | BOOLEAN | いいえ | - | このパラメータは、`seedance-1-5-pro-251215` モデル以外では無視されます（デフォルト: False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画生成に使用するモデル（デフォルト: `"seedance-1-0-lite-i2v-250428"`）。 | COMBO | はい | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"` | +| `プロンプト` | 動画生成に使用するテキストプロンプト。 | STRING | はい | - | +| `最初のフレーム` | 動画に使用する最初のフレーム。300x300 から 6000x6000 ピクセルの間で、アスペクト比は 0.4 から 2.5 の間である必要があります。 | IMAGE | はい | - | +| `最後のフレーム` | 動画に使用する最後のフレーム。300x300 から 6000x6000 ピクセルの間で、アスペクト比は 0.4 から 2.5 の間である必要があります。 | IMAGE | はい | - | +| `解像度` | 出力動画の解像度。 | COMBO | はい | `"480p"`
`"720p"`
`"1080p"` | +| `アスペクト比` | 出力動画のアスペクト比（デフォルト: `"adaptive"`）。 | COMBO | はい | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | +| `再生時間` | 出力動画の長さ（秒）（デフォルト: 5）。注: `seedance-1-5-pro-251215` モデルの場合、サポートされる最小の長さは 4 秒です。 | INT | はい | 3 - 12 | +| `シード` | 生成に使用するシード値（デフォルト: 0）。 | INT | いいえ | 0 - 2147483647 | +| `カメラ固定` | カメラを固定するかどうかを指定します。プラットフォームはプロンプトにカメラを固定する指示を追加しますが、実際の効果は保証されません（デフォルト: False）。 | BOOLEAN | いいえ | - | +| `ウォーターマーク` | 動画に「AI 生成」の透かしを追加するかどうか（デフォルト: False）。 | BOOLEAN | いいえ | - | +| `generate_audio` | このパラメータは、`seedance-1-5-pro-251215` モデル以外では無視されます（デフォルト: False）。 | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/ja.md) --- **Source fingerprint (SHA-256):** `2da7b8ad2bc818a21988c028155ba2b466452a1655ac506fcef01c143dda7450` diff --git a/ja/built-in-nodes/ByteDanceImageEditNode.mdx b/ja/built-in-nodes/ByteDanceImageEditNode.mdx index 89e3f9cbd..694dfe0df 100644 --- a/ja/built-in-nodes/ByteDanceImageEditNode.mdx +++ b/ja/built-in-nodes/ByteDanceImageEditNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "ByteDanceImageEditNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageEditNode/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageEditNode/en.md) ByteDance Image Editノードを使用すると、APIを通じてByteDanceのAIモデルを利用して画像を編集できます。入力画像と目的の変更内容を記述したテキストプロンプトを提供すると、ノードが指示に従って画像を処理します。このノードはAPI通信を自動的に処理し、編集済みの画像を返します。 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | COMBO | seededit_3 | Image2ImageModelNameオプション | モデル名 | -| `image` | IMAGE | IMAGE | - | - | 編集するベース画像 | -| `prompt` | STRING | STRING | "" | - | 画像編集の指示 | -| `seed` | INT | INT | 0 | 0-2147483647 | 生成に使用するシード値 | -| `guidance_scale` | FLOAT | FLOAT | 5.5 | 1.0-10.0 | 値が大きいほど、画像がプロンプトに忠実に従うようになります | -| `watermark` | BOOLEAN | BOOLEAN | True | - | 画像に「AI生成」の透かしを追加するかどうか | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `model` | モデル名 | MODEL | COMBO | seededit_3 | Image2ImageModelNameオプション | +| `image` | 編集するベース画像 | IMAGE | IMAGE | - | - | +| `prompt` | 画像編集の指示 | STRING | STRING | "" | - | +| `seed` | 生成に使用するシード値 | INT | INT | 0 | 0-2147483647 | +| `guidance_scale` | 値が大きいほど、画像がプロンプトに忠実に従うようになります | FLOAT | FLOAT | 5.5 | 1.0-10.0 | +| `watermark` | 画像に「AI生成」の透かしを追加するかどうか | BOOLEAN | BOOLEAN | True | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | ByteDance APIから返された編集済み画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | ByteDance APIから返された編集済み画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageEditNode/ja.md) --- **Source fingerprint (SHA-256):** `9dc13d89f84756b545120efb5535e08ada163d4534975809f5056bdf7d8bfb73` diff --git a/ja/built-in-nodes/ByteDanceImageNode.mdx b/ja/built-in-nodes/ByteDanceImageNode.mdx index 325ffa753..04d5f2548 100644 --- a/ja/built-in-nodes/ByteDanceImageNode.mdx +++ b/ja/built-in-nodes/ByteDanceImageNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ByteDanceImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,24 +13,26 @@ ByteDance Image ノードは、テキストプロンプトに基づいて、API ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | STRING | はい | `"seedream-3-0-t2i-250415"` | 画像生成に使用する ByteDance モデルです。現在利用可能なモデルオプションは1つのみです。 | -| `プロンプト` | STRING | はい | - | 画像生成に使用するテキストプロンプトです。空白を除去した後、最低1文字以上である必要があります。 | -| `サイズプリセット` | STRING | はい | 説明を参照 | 推奨サイズを選択します。カスタムを選択すると、下記の幅と高さを使用できます。利用可能なプリセットは `RECOMMENDED_PRESETS` リストで定義されています。 | -| `幅` | INT | はい | 512 ～ 2048（ステップ 64） | 画像のカスタム幅です。この値は `サイズプリセット` が `Custom` に設定されている場合のみ使用されます。デフォルト: 1024。 | -| `高さ` | INT | はい | 512 ～ 2048（ステップ 64） | 画像のカスタム高さです。この値は `サイズプリセット` が `Custom` に設定されている場合のみ使用されます。デフォルト: 1024。 | -| `シード` | INT | いいえ | 0 ～ 2147483647（ステップ 1） | 生成に使用するシード値です。デフォルト: 0。 | -| `ガイダンススケール` | FLOAT | いいえ | 1.0 ～ 10.0（ステップ 0.01） | 値が大きいほど、画像がプロンプトに忠実に従うようになります。デフォルト: 2.5。 | -| `透かし` | BOOLEAN | いいえ | True / False | 画像に「AI 生成」の透かしを追加するかどうかです。デフォルト: False。これは高度なパラメータです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 画像生成に使用する ByteDance モデルです。現在利用可能なモデルオプションは1つのみです。 | STRING | はい | `"seedream-3-0-t2i-250415"` | +| `プロンプト` | 画像生成に使用するテキストプロンプトです。空白を除去した後、最低1文字以上である必要があります。 | STRING | はい | - | +| `サイズプリセット` | 推奨サイズを選択します。カスタムを選択すると、下記の幅と高さを使用できます。利用可能なプリセットは `RECOMMENDED_PRESETS` リストで定義されています。 | STRING | はい | 説明を参照 | +| `幅` | 画像のカスタム幅です。この値は `サイズプリセット` が `Custom` に設定されている場合のみ使用されます。デフォルト: 1024。 | INT | はい | 512 ～ 2048（ステップ 64） | +| `高さ` | 画像のカスタム高さです。この値は `サイズプリセット` が `Custom` に設定されている場合のみ使用されます。デフォルト: 1024。 | INT | はい | 512 ～ 2048（ステップ 64） | +| `シード` | 生成に使用するシード値です。デフォルト: 0。 | INT | いいえ | 0 ～ 2147483647（ステップ 1） | +| `ガイダンススケール` | 値が大きいほど、画像がプロンプトに忠実に従うようになります。デフォルト: 2.5。 | FLOAT | いいえ | 1.0 ～ 10.0（ステップ 0.01） | +| `透かし` | 画像に「AI 生成」の透かしを追加するかどうかです。デフォルト: False。これは高度なパラメータです。 | BOOLEAN | いいえ | True / False | **サイズパラメータに関する注意:** `width` および `height` パラメータは、`size_preset` が `Custom` に設定されている場合のみ使用されます。プリセットサイズが選択された場合、プリセットの寸法がカスタムの幅と高さの値を上書きします。カスタム寸法を使用する場合、幅と高さはどちらも 512 ～ 2048 ピクセルの範囲内である必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | ByteDance API から返された、テンソル形式の生成画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | ByteDance API から返された、テンソル形式の生成画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageNode/ja.md) --- **Source fingerprint (SHA-256):** `6ad3011ae942e81bc5e5296fa7120ee89637ef7487e2f12822d84b6917ec211e` diff --git a/ja/built-in-nodes/ByteDanceImageReferenceNode.mdx b/ja/built-in-nodes/ByteDanceImageReferenceNode.mdx index 236ea489e..8a3cbedda 100644 --- a/ja/built-in-nodes/ByteDanceImageReferenceNode.mdx +++ b/ja/built-in-nodes/ByteDanceImageReferenceNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ByteDanceImageReferenceNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,24 +12,26 @@ ByteDance Image Reference Node は、テキストプロンプトと1～4枚の ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | STRING | はい | `"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"` | 動画生成に使用するAIモデル（デフォルト: `"seedance-1-0-lite-i2v-250428"`）。 | -| `プロンプト` | STRING | はい | - | 動画生成に使用するテキストプロンプト。 | -| `画像` | IMAGE | はい | - | 1～4枚の画像。各画像は300x300～6000x6000ピクセルで、アスペクト比は0.4～2.5の間である必要があります。 | -| `解像度` | STRING | はい | `"480p"`
`"720p"` | 出力動画の解像度。 | -| `アスペクト比` | STRING | はい | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | 出力動画のアスペクト比（デフォルト: `"adaptive"`）。 | -| `再生時間` | INT | はい | 3 - 12 | 出力動画の長さ（秒）（デフォルト: 5）。 | -| `seed` | INT | いいえ | 0 - 2147483647 | 生成に使用するシード値（デフォルト: 0）。 | -| `watermark` | BOOLEAN | いいえ | - | 動画に「AI生成」の透かしを追加するかどうか（デフォルト: False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画生成に使用するAIモデル（デフォルト: `"seedance-1-0-lite-i2v-250428"`）。 | STRING | はい | `"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"` | +| `プロンプト` | 動画生成に使用するテキストプロンプト。 | STRING | はい | - | +| `画像` | 1～4枚の画像。各画像は300x300～6000x6000ピクセルで、アスペクト比は0.4～2.5の間である必要があります。 | IMAGE | はい | - | +| `解像度` | 出力動画の解像度。 | STRING | はい | `"480p"`
`"720p"` | +| `アスペクト比` | 出力動画のアスペクト比（デフォルト: `"adaptive"`）。 | STRING | はい | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | +| `再生時間` | 出力動画の長さ（秒）（デフォルト: 5）。 | INT | はい | 3 - 12 | +| `seed` | 生成に使用するシード値（デフォルト: 0）。 | INT | いいえ | 0 - 2147483647 | +| `watermark` | 動画に「AI生成」の透かしを追加するかどうか（デフォルト: False）。 | BOOLEAN | いいえ | - | **注意:** プロンプトテキストに以下のパラメータ文字列を含めることはできません: `--resolution`、`--ratio`、`--duration`、`--seed`、`--watermark`。これらの値は専用の入力ウィジェットを通じてのみ制御されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 入力プロンプトと参照画像に基づいて生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力プロンプトと参照画像に基づいて生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/ja.md) --- **Source fingerprint (SHA-256):** `d5d1292d6af2fe24dc5c8a10174204546a5a6054ea1f43db44a45ce1017957d6` diff --git a/ja/built-in-nodes/ByteDanceImageToVideoNode.mdx b/ja/built-in-nodes/ByteDanceImageToVideoNode.mdx index 5a4bebe40..296eb3bdb 100644 --- a/ja/built-in-nodes/ByteDanceImageToVideoNode.mdx +++ b/ja/built-in-nodes/ByteDanceImageToVideoNode.mdx @@ -5,34 +5,34 @@ sidebarTitle: "ByteDanceImageToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/ja.md) - 以下が翻訳結果です。 ByteDance Image to Video ノードは、入力画像とテキストプロンプトに基づいて、API を通じて ByteDance モデルを使用し動画を生成します。開始フレームとなる画像を受け取り、指定された説明に従った動画シーケンスを作成します。このノードは、動画の解像度、アスペクト比、長さ、およびその他の生成パラメータに関するさまざまなカスタマイズオプションを提供します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | STRING | はい | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"`
`"seedance-1-0-pro-fast-251015"` | 動画生成に使用する ByteDance モデル（デフォルト: `"seedance-1-0-pro-fast-251015"`）。 | -| `prompt` | STRING | はい | - | 動画生成に使用するテキストプロンプト。トリミング後の空白を除いて、1文字以上である必要があります。 | -| `image` | IMAGE | はい | - | 動画の最初のフレームとして使用する画像。300x300 から 6000x6000 ピクセルの間で、アスペクト比は 0.4 から 2.5 の間である必要があります。 | -| `resolution` | STRING | はい | `"480p"`
`"720p"`
`"1080p"` | 出力動画の解像度。 | -| `aspect_ratio` | STRING | はい | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | 出力動画のアスペクト比。 | -| `duration` | INT | はい | 3 - 12 | 出力動画の長さ（秒）（デフォルト: 5）。`seedance-1-5-pro-251215` モデルの場合、対応する最小の長さは 4 秒です。 | -| `seed` | INT | いいえ | 0 - 2147483647 | 生成に使用するシード（デフォルト: 0）。 | -| `camera_fixed` | BOOLEAN | いいえ | - | カメラを固定するかどうかを指定します。プラットフォームはプロンプトにカメラを固定する指示を追加しますが、実際の効果は保証されません（デフォルト: False）。 | -| `watermark` | BOOLEAN | いいえ | - | 動画に「AI 生成」の透かしを追加するかどうか（デフォルト: False）。 | -| `generate_audio` | BOOLEAN | いいえ | - | このパラメータは、`seedance-1-5-pro-251215` 以外のモデルでは無視されます（デフォルト: False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 動画生成に使用する ByteDance モデル（デフォルト: `"seedance-1-0-pro-fast-251015"`）。 | STRING | はい | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"`
`"seedance-1-0-pro-fast-251015"` | +| `prompt` | 動画生成に使用するテキストプロンプト。トリミング後の空白を除いて、1文字以上である必要があります。 | STRING | はい | - | +| `image` | 動画の最初のフレームとして使用する画像。300x300 から 6000x6000 ピクセルの間で、アスペクト比は 0.4 から 2.5 の間である必要があります。 | IMAGE | はい | - | +| `resolution` | 出力動画の解像度。 | STRING | はい | `"480p"`
`"720p"`
`"1080p"` | +| `aspect_ratio` | 出力動画のアスペクト比。 | STRING | はい | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | +| `duration` | 出力動画の長さ（秒）（デフォルト: 5）。`seedance-1-5-pro-251215` モデルの場合、対応する最小の長さは 4 秒です。 | INT | はい | 3 - 12 | +| `seed` | 生成に使用するシード（デフォルト: 0）。 | INT | いいえ | 0 - 2147483647 | +| `camera_fixed` | カメラを固定するかどうかを指定します。プラットフォームはプロンプトにカメラを固定する指示を追加しますが、実際の効果は保証されません（デフォルト: False）。 | BOOLEAN | いいえ | - | +| `watermark` | 動画に「AI 生成」の透かしを追加するかどうか（デフォルト: False）。 | BOOLEAN | いいえ | - | +| `generate_audio` | このパラメータは、`seedance-1-5-pro-251215` 以外のモデルでは無視されます（デフォルト: False）。 | BOOLEAN | いいえ | - | **注記:** プロンプトには以下の単語（大文字小文字を区別しない）を含めてはいけません: `resolution`、`ratio`、`duration`、`seed`、`camerafixed`、`watermark`。これらのパラメータは専用の入力フィールドで設定されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 入力画像とプロンプトパラメータに基づいて生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力画像とプロンプトパラメータに基づいて生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `e47e14c69f4bdf4921a5a5eaec20fb775473483e80cdd9dd6700d2c7f9219e65` diff --git a/ja/built-in-nodes/ByteDanceSeedNode.mdx b/ja/built-in-nodes/ByteDanceSeedNode.mdx index bf3e1310a..cb8184a8c 100644 --- a/ja/built-in-nodes/ByteDanceSeedNode.mdx +++ b/ja/built-in-nodes/ByteDanceSeedNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "ByteDanceSeedNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/ja.md) - ## 概要 ByteDanceのSeed 2.0モデルを使用してテキスト応答を生成します。テキストプロンプトを入力し、オプションで画像や動画を含めることでマルチモーダルなコンテキストを提供できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | なし | モデルへのテキスト入力です。 | -| `モデル` | COMBO | はい | `"Seed 2.0 Pro"`
`"Seed 2.0 Lite"`
`"Seed 2.0 Mini"` | 応答生成に使用するSeedモデルです。 | -| `シード` | INT | はい | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。シードに関わらず結果は非決定的です。（デフォルト：0） | -| `システムプロンプト` | STRING | いいえ | なし | モデルの動作を指示する基本命令です。（デフォルト：""） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | モデルへのテキスト入力です。 | STRING | はい | なし | +| `モデル` | 応答生成に使用するSeedモデルです。 | COMBO | はい | `"Seed 2.0 Pro"`
`"Seed 2.0 Lite"`
`"Seed 2.0 Mini"` | +| `シード` | シードはノードを再実行するかどうかを制御します。シードに関わらず結果は非決定的です。（デフォルト：0） | INT | はい | 0 ～ 2147483647 | +| `システムプロンプト` | モデルの動作を指示する基本命令です。（デフォルト：""） | STRING | いいえ | なし | **`model`パラメータに関する注意事項：** `model`パラメータは動的なコンボであり、画像や動画も受け入れます。このパラメータに画像や動画の入力を接続することで、マルチモーダルなコンテキストを提供できます。1リクエストあたり最大20枚の画像と4本の動画がサポートされています。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | Seedモデルから生成されたテキスト応答です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | Seedモデルから生成されたテキスト応答です。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/ja.md) --- **Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172` diff --git a/ja/built-in-nodes/ByteDanceSeedreamNode.mdx b/ja/built-in-nodes/ByteDanceSeedreamNode.mdx index d23bd3d7a..c9cf06005 100644 --- a/ja/built-in-nodes/ByteDanceSeedreamNode.mdx +++ b/ja/built-in-nodes/ByteDanceSeedreamNode.mdx @@ -5,27 +5,25 @@ sidebarTitle: "ByteDanceSeedreamNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/ja.md) - このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md) ByteDance Seedream 4.5 & 5.0 ノードは、最大4K解像度での統合テキスト-to-画像生成と、高精度な単一文編集機能を提供します。テキストプロンプトから新しい画像を作成したり、テキスト指示を使用して既存の画像を編集したりできます。このノードは、単一画像の生成と、複数の関連画像の連続生成の両方をサポートしています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | STRING | はい | 説明を参照 | 生成に使用するSeedreamモデル。利用可能なモデルには、seedream-4-0、seedream-4-5、seedream-5-0の各バリアントが含まれます。 | -| `prompt` | STRING | はい | - | 画像を作成または編集するためのテキストプロンプト。1文字以上である必要があります。 | -| `image` | IMAGE | いいえ | - | 画像-to-画像生成のための入力画像。単一または複数参照生成のための参照画像。ほとんどのモデルで最大10枚、seedream-5-0-260128では最大14枚の参照画像が可能です。 | -| `size_preset` | STRING | いいえ | 複数のオプションが利用可能 | 推奨サイズを選択します。カスタムを選択すると、以下の幅と高さを使用できます。デフォルト: RECOMMENDED_PRESETS_SEEDREAM_4の最初のプリセット。 | -| `width` | INT | いいえ | 1024 ～ 6240 (ステップ 2) | 画像のカスタム幅。`size_preset`が`Custom`に設定されている場合のみ有効です。デフォルト: 2048。 | -| `height` | INT | いいえ | 1024 ～ 4992 (ステップ 2) | 画像のカスタム高さ。`size_preset`が`Custom`に設定されている場合のみ有効です。デフォルト: 2048。 | -| `sequential_image_generation` | STRING | いいえ | "disabled"
"auto" | グループ画像生成モード。"disabled"は単一の画像を生成します。"auto"はモデルが複数の関連画像（例：ストーリーシーン、キャラクターバリエーション）を生成するかどうかを決定します。デフォルト: "disabled"。 | -| `max_images` | INT | いいえ | 1 ～ 15 (ステップ 1) | sequential_image_generation='auto'の場合に生成する最大画像数。合計画像数（入力＋生成）は15を超えることはできません。デフォルト: 1。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 (ステップ 1) | 生成に使用するシード値。デフォルト: 0。 | -| `watermark` | BOOLEAN | いいえ | - | 画像に「AI生成」の透かしを追加するかどうか。デフォルト: False。 | -| `fail_on_partial` | BOOLEAN | いいえ | - | 有効にすると、要求された画像の一部が欠けている場合に実行を中止するか、エラーを返します。デフォルト: True。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 生成に使用するSeedreamモデル。利用可能なモデルには、seedream-4-0、seedream-4-5、seedream-5-0の各バリアントが含まれます。 | STRING | はい | 説明を参照 | +| `prompt` | 画像を作成または編集するためのテキストプロンプト。1文字以上である必要があります。 | STRING | はい | - | +| `image` | 画像-to-画像生成のための入力画像。単一または複数参照生成のための参照画像。ほとんどのモデルで最大10枚、seedream-5-0-260128では最大14枚の参照画像が可能です。 | IMAGE | いいえ | - | +| `size_preset` | 推奨サイズを選択します。カスタムを選択すると、以下の幅と高さを使用できます。デフォルト: RECOMMENDED_PRESETS_SEEDREAM_4の最初のプリセット。 | STRING | いいえ | 複数のオプションが利用可能 | +| `width` | 画像のカスタム幅。`size_preset`が`Custom`に設定されている場合のみ有効です。デフォルト: 2048。 | INT | いいえ | 1024 ～ 6240 (ステップ 2) | +| `height` | 画像のカスタム高さ。`size_preset`が`Custom`に設定されている場合のみ有効です。デフォルト: 2048。 | INT | いいえ | 1024 ～ 4992 (ステップ 2) | +| `sequential_image_generation` | グループ画像生成モード。"disabled"は単一の画像を生成します。"auto"はモデルが複数の関連画像（例：ストーリーシーン、キャラクターバリエーション）を生成するかどうかを決定します。デフォルト: "disabled"。 | STRING | いいえ | "disabled"
"auto" | +| `max_images` | sequential_image_generation='auto'の場合に生成する最大画像数。合計画像数（入力＋生成）は15を超えることはできません。デフォルト: 1。 | INT | いいえ | 1 ～ 15 (ステップ 1) | +| `seed` | 生成に使用するシード値。デフォルト: 0。 | INT | いいえ | 0 ～ 2147483647 (ステップ 1) | +| `watermark` | 画像に「AI生成」の透かしを追加するかどうか。デフォルト: False。 | BOOLEAN | いいえ | - | +| `fail_on_partial` | 有効にすると、要求された画像の一部が欠けている場合に実行を中止するか、エラーを返します。デフォルト: True。 | BOOLEAN | いいえ | - | **パラメータ制約に関する注意事項:** - 最小画像解像度は選択したモデルによって異なります：seedream-4-5およびseedream-5-0モデルでは3.68MP、seedream-4-0モデルでは0.92MPです。 @@ -36,9 +34,11 @@ ByteDance Seedream 4.5 & 5.0 ノードは、最大4K解像度での統合テキ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | 入力パラメータとプロンプトに基づいて生成された画像。単一の画像テンソル、または複数の画像が生成された場合は画像テンソルのバッチを返します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | 入力パラメータとプロンプトに基づいて生成された画像。単一の画像テンソル、または複数の画像が生成された場合は画像テンソルのバッチを返します。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/ja.md) --- **Source fingerprint (SHA-256):** `ce130246026e0f5036e137bea4e193f51097e0812459586dcbeb87ef01975630` diff --git a/ja/built-in-nodes/ByteDanceSeedreamNodeV2.mdx b/ja/built-in-nodes/ByteDanceSeedreamNodeV2.mdx index eb5e77d75..99cf66567 100644 --- a/ja/built-in-nodes/ByteDanceSeedreamNodeV2.mdx +++ b/ja/built-in-nodes/ByteDanceSeedreamNodeV2.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ByteDanceSeedreamNodeV2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,12 +13,12 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | N/A | 画像を作成または編集するためのテキストプロンプト。 | -| `モデル` | COMBO | はい | `"seedream 5.0 lite"`
`"seedream-4-5-251128"`
`"seedream-4-0-250828"` | 生成に使用する Seedream モデルのバージョン。モデルごとに機能と料金が異なります。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成に使用するシード値（デフォルト: 0）。 | -| `ウォーターマーク` | BOOLEAN | いいえ | True / False | 画像に「AI 生成」の透かしを追加するかどうか（デフォルト: False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 画像を作成または編集するためのテキストプロンプト。 | STRING | はい | N/A | +| `モデル` | 生成に使用する Seedream モデルのバージョン。モデルごとに機能と料金が異なります。 | COMBO | はい | `"seedream 5.0 lite"`
`"seedream-4-5-251128"`
`"seedream-4-0-250828"` | +| `シード` | 生成に使用するシード値（デフォルト: 0）。 | INT | いいえ | 0 ～ 2147483647 | +| `ウォーターマーク` | 画像に「AI 生成」の透かしを追加するかどうか（デフォルト: False）。 | BOOLEAN | いいえ | True / False | ### モデル固有のパラメータ @@ -47,9 +45,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | 生成または編集された画像をテンソルとして出力します。複数の画像が要求された場合は、1 つのバッチに連結されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 生成または編集された画像をテンソルとして出力します。複数の画像が要求された場合は、1 つのバッチに連結されます。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/ja.md) --- **Source fingerprint (SHA-256):** `1ceccfdb773807a993c32af22703da155367b67865338c78f153a8ccb02dcc8f` diff --git a/ja/built-in-nodes/ByteDanceTextToVideoNode.mdx b/ja/built-in-nodes/ByteDanceTextToVideoNode.mdx index 7464a789e..9501c8ea6 100644 --- a/ja/built-in-nodes/ByteDanceTextToVideoNode.mdx +++ b/ja/built-in-nodes/ByteDanceTextToVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ByteDanceTextToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/ja.md) - 以下が翻訳結果です。 このドキュメントは AI によって生成されました。誤りや改善のための提案があれば、ぜひコントリビュートしてください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md) @@ -15,17 +13,17 @@ ByteDance Text to Video ノードは、テキストプロンプトに基づい ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | STRING | はい | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-t2v-250428"`
`"seedance-1-0-pro-fast-251015"` | 生成に使用する ByteDance モデル（デフォルト: `"seedance-1-0-pro-fast-251015"`）。 | -| `プロンプト` | STRING | はい | - | 動画を生成するために使用するテキストプロンプト。 | -| `解像度` | STRING | はい | `"480p"`
`"720p"`
`"1080p"` | 出力動画の解像度。 | -| `アスペクト比` | STRING | はい | `"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | 出力動画のアスペクト比。 | -| `長さ` | INT | はい | 3 ～ 12 | 出力動画の長さ（秒単位、デフォルト: 5）。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成に使用するシード値（デフォルト: 0）。 | -| `カメラ固定` | BOOLEAN | いいえ | - | カメラを固定するかどうかを指定します。プラットフォームはプロンプトにカメラを固定する指示を追加しますが、実際の効果は保証されません（デフォルト: False）。 | -| `透かし` | BOOLEAN | いいえ | - | 動画に「AI 生成」の透かしを追加するかどうか（デフォルト: False）。 | -| `generate_audio` | BOOLEAN | いいえ | - | このパラメータは、`seedance-1-5-pro-251215` 以外のモデルでは無視されます（デフォルト: False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 生成に使用する ByteDance モデル（デフォルト: `"seedance-1-0-pro-fast-251015"`）。 | STRING | はい | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-t2v-250428"`
`"seedance-1-0-pro-fast-251015"` | +| `プロンプト` | 動画を生成するために使用するテキストプロンプト。 | STRING | はい | - | +| `解像度` | 出力動画の解像度。 | STRING | はい | `"480p"`
`"720p"`
`"1080p"` | +| `アスペクト比` | 出力動画のアスペクト比。 | STRING | はい | `"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | +| `長さ` | 出力動画の長さ（秒単位、デフォルト: 5）。 | INT | はい | 3 ～ 12 | +| `シード` | 生成に使用するシード値（デフォルト: 0）。 | INT | いいえ | 0 ～ 2147483647 | +| `カメラ固定` | カメラを固定するかどうかを指定します。プラットフォームはプロンプトにカメラを固定する指示を追加しますが、実際の効果は保証されません（デフォルト: False）。 | BOOLEAN | いいえ | - | +| `透かし` | 動画に「AI 生成」の透かしを追加するかどうか（デフォルト: False）。 | BOOLEAN | いいえ | - | +| `generate_audio` | このパラメータは、`seedance-1-5-pro-251215` 以外のモデルでは無視されます（デフォルト: False）。 | BOOLEAN | いいえ | - | **パラメータの制約:** @@ -37,9 +35,11 @@ ByteDance Text to Video ノードは、テキストプロンプトに基づい ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `44ea3e40b99b337340cc39be1c5b6c903680591f1de49b1f2e82f398979355c5` diff --git a/ja/built-in-nodes/CFGGuider.mdx b/ja/built-in-nodes/CFGGuider.mdx index b323fa749..6e00a8158 100644 --- a/ja/built-in-nodes/CFGGuider.mdx +++ b/ja/built-in-nodes/CFGGuider.mdx @@ -5,8 +5,6 @@ sidebarTitle: "CFGGuider" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGGuider/ja.md) - 以下は、提供された英語ドキュメントを日本語に翻訳したものです。 ## 概要 @@ -14,18 +12,20 @@ CFGGuiderノードは、画像生成におけるサンプリングプロセス ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|-------------| -| `モデル` | MODEL | はい | - | ガイダンスに使用されるモデル | -| `ポジティブ` | CONDITIONING | はい | - | 生成を目的のコンテンツへ導くポジティブな条件付け | -| `ネガティブ` | CONDITIONING | はい | - | 生成を不要なコンテンツから遠ざけるネガティブな条件付け | -| `cfg` | FLOAT | はい | 0.0 ～ 100.0 | 条件付けが生成に与える影響の強さを制御する分類器フリーガイダンススケール（デフォルト: 8.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | ガイダンスに使用されるモデル | MODEL | はい | - | +| `ポジティブ` | 生成を目的のコンテンツへ導くポジティブな条件付け | CONDITIONING | はい | - | +| `ネガティブ` | 生成を不要なコンテンツから遠ざけるネガティブな条件付け | CONDITIONING | はい | - | +| `cfg` | 条件付けが生成に与える影響の強さを制御する分類器フリーガイダンススケール（デフォルト: 8.0） | FLOAT | はい | 0.0 ～ 100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|-------------| -| `GUIDER` | GUIDER | サンプリングノードに渡して生成プロセスを制御するためのガイダーオブジェクト | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `GUIDER` | サンプリングノードに渡して生成プロセスを制御するためのガイダーオブジェクト | GUIDER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGGuider/ja.md) --- **Source fingerprint (SHA-256):** `80c1f733dc26717c5762655404b9c36b53bb9059ceb6a8531ef1a853e2fe2380` diff --git a/ja/built-in-nodes/CFGNorm.mdx b/ja/built-in-nodes/CFGNorm.mdx index 23bfec98a..8de2dd9f1 100644 --- a/ja/built-in-nodes/CFGNorm.mdx +++ b/ja/built-in-nodes/CFGNorm.mdx @@ -5,22 +5,22 @@ sidebarTitle: "CFGNorm" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGNorm/ja.md) - CFGNormノードは、拡散モデルにおける分類器フリーガイダンス（CFG）プロセスに正規化手法を適用します。条件付き出力と無条件出力のノルムを比較することで、ノイズ除去予測のスケールを調整し、強度倍率を適用して効果を制御します。これにより、ガイダンススケーリングにおける極端な値を防ぎ、生成プロセスを安定化します。 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `モデル` | MODEL | 必須 | - | - | CFG正規化を適用する拡散モデル | -| `強度` | FLOAT | 必須 | 1.0 | 0.0 - 100.0 | CFGスケーリングに適用される正規化効果の強度を制御します | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト値 | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `モデル` | CFG正規化を適用する拡散モデル | MODEL | 必須 | - | - | +| `強度` | CFGスケーリングに適用される正規化効果の強度を制御します | FLOAT | 必須 | 1.0 | 0.0 - 100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `patched_model` | MODEL | サンプリングプロセスにCFG正規化が適用された修正済みモデルを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `patched_model` | サンプリングプロセスにCFG正規化が適用された修正済みモデルを返します | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGNorm/ja.md) --- **Source fingerprint (SHA-256):** `af9e5f965500b959ff46f781e9329524fc0a4b94af2ce6d74116fe27b0e9005e` diff --git a/ja/built-in-nodes/CFGOverride.mdx b/ja/built-in-nodes/CFGOverride.mdx new file mode 100644 index 000000000..0b5e007b6 --- /dev/null +++ b/ja/built-in-nodes/CFGOverride.mdx @@ -0,0 +1,30 @@ +--- +title: "CFGOverride - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CFGOverride node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CFGOverride" +icon: "circle" +mode: wide +--- +# CFG オーバーライド + +CFG オーバーライドノードを使用すると、サンプリングプロセスの特定の範囲（全体のステップ数に対するパーセンテージで定義）に対して、固定のCFG（Classifier-Free Guidance）スケール値を設定できます。複数のCFGオーバーライドノードが接続されている場合、チェーン内でサンプラーに最も近いノードが、重複する範囲に対して優先されます。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `model` | CFGオーバーライドを適用するモデル | MODEL | はい | | +| `cfg` | オーバーライド範囲で使用する固定CFGスケール値（デフォルト：1.0） | FLOAT | はい | 0.0～100.0 | +| `開始パーセント` | サンプリングプロセス全体に対するオーバーライド範囲の開始位置（パーセンテージ）（デフォルト：0.0） | FLOAT | はい | 0.0～1.0 | +| `終了パーセント` | サンプリングプロセス全体に対するオーバーライド範囲の終了位置（パーセンテージ）（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `MODEL` | CFGオーバーライドラッパーが適用されたモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGOverride/ja.md) + +--- +**Source fingerprint (SHA-256):** `1fe57a4e78a2f18c4e7da49fa7a6c473d64dc0ebf6662535dfb5379c37936662` diff --git a/ja/built-in-nodes/CFGZeroStar.mdx b/ja/built-in-nodes/CFGZeroStar.mdx index 8269db3ea..a49b16e83 100644 --- a/ja/built-in-nodes/CFGZeroStar.mdx +++ b/ja/built-in-nodes/CFGZeroStar.mdx @@ -5,23 +5,23 @@ sidebarTitle: "CFGZeroStar" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGZeroStar/ja.md) - 以下が翻訳結果です。 CFGZeroStarノードは、拡散モデルに特殊なガイダンススケーリング技術を適用します。条件付き予測と無条件予測の差分に基づいて最適化されたスケール係数を計算することで、分類器フリーガイダンスプロセスを変更します。このアプローチにより、モデルの安定性を維持しながら、生成プロセスに対する高度な制御を実現する最終出力が調整されます。 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `モデル` | MODEL | 必須 | - | - | CFGZeroStarガイダンススケーリング技術で変更される拡散モデル | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `モデル` | CFGZeroStarガイダンススケーリング技術で変更される拡散モデル | MODEL | 必須 | - | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `patched_model` | MODEL | CFGZeroStarガイダンススケーリングが適用された変更済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `patched_model` | CFGZeroStarガイダンススケーリングが適用された変更済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGZeroStar/ja.md) --- **Source fingerprint (SHA-256):** `1f5fcd1377c64609e28d85e453aaaa0bcc8f3ac322b7b7240f34f71aa113562a` diff --git a/ja/built-in-nodes/CLIPAttentionMultiply.mdx b/ja/built-in-nodes/CLIPAttentionMultiply.mdx index 307214552..3fb22ff48 100644 --- a/ja/built-in-nodes/CLIPAttentionMultiply.mdx +++ b/ja/built-in-nodes/CLIPAttentionMultiply.mdx @@ -5,25 +5,25 @@ sidebarTitle: "CLIPAttentionMultiply" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPAttentionMultiply/ja.md) - CLIPAttentionMultiply ノードを使用すると、自己注意層の異なるコンポーネントに乗算係数を適用することで、CLIP モデルの注意機構を調整できます。このノードは、CLIP モデルの注意機構におけるクエリ、キー、バリュー、および出力投影の重みとバイアスを変更することで機能します。この実験的なノードは、指定されたスケーリング係数を適用した、入力 CLIP モデルの修正コピーを作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | - | 修正する CLIP モデル | -| `q` | FLOAT | はい | 0.0 - 10.0 | クエリ投影の重みとバイアスに対する乗算係数（デフォルト: 1.0） | -| `k` | FLOAT | はい | 0.0 - 10.0 | キー投影の重みとバイアスに対する乗算係数（デフォルト: 1.0） | -| `v` | FLOAT | はい | 0.0 - 10.0 | バリュー投影の重みとバイアスに対する乗算係数（デフォルト: 1.0） | -| `出力` | FLOAT | はい | 0.0 - 10.0 | 出力投影の重みとバイアスに対する乗算係数（デフォルト: 1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip` | 修正する CLIP モデル | CLIP | はい | - | +| `q` | クエリ投影の重みとバイアスに対する乗算係数（デフォルト: 1.0） | FLOAT | はい | 0.0 - 10.0 | +| `k` | キー投影の重みとバイアスに対する乗算係数（デフォルト: 1.0） | FLOAT | はい | 0.0 - 10.0 | +| `v` | バリュー投影の重みとバイアスに対する乗算係数（デフォルト: 1.0） | FLOAT | はい | 0.0 - 10.0 | +| `出力` | 出力投影の重みとバイアスに対する乗算係数（デフォルト: 1.0） | FLOAT | はい | 0.0 - 10.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CLIP` | CLIP | 指定された注意スケーリング係数が適用された、修正済みの CLIP モデルを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CLIP` | 指定された注意スケーリング係数が適用された、修正済みの CLIP モデルを返します | CLIP | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPAttentionMultiply/ja.md) --- **Source fingerprint (SHA-256):** `43dab83ecfc928f3359eb7560658f43235bf3faa62c81084a2b4f482e3a4638f` diff --git a/ja/built-in-nodes/CLIPMergeAdd.mdx b/ja/built-in-nodes/CLIPMergeAdd.mdx index 58024b667..64cc5191b 100644 --- a/ja/built-in-nodes/CLIPMergeAdd.mdx +++ b/ja/built-in-nodes/CLIPMergeAdd.mdx @@ -5,24 +5,24 @@ sidebarTitle: "CLIPMergeAdd" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeAdd/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 CLIPMergeAdd ノードは、2つのCLIPモデルを結合し、2番目のモデルから1番目のモデルにパッチを追加します。このノードは、1番目のCLIPモデルのコピーを作成し、位置IDやロジットスケールパラメータを除外して、2番目のモデルから重要なキーパッチを選択的に取り込みます。これにより、ベースモデルの構造を維持しながら、CLIPモデルのコンポーネントをマージできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip1` | CLIP | はい | - | クローンされ、マージの基盤として使用されるベースCLIPモデル | -| `clip2` | CLIP | はい | - | ベースモデルに追加するキーパッチを提供する2番目のCLIPモデル | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip1` | クローンされ、マージの基盤として使用されるベースCLIPモデル | CLIP | はい | - | +| `clip2` | ベースモデルに追加するキーパッチを提供する2番目のCLIPモデル | CLIP | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CLIP` | CLIP | ベースモデルの構造に2番目のモデルからのパッチが追加された、マージ済みCLIPモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CLIP` | ベースモデルの構造に2番目のモデルからのパッチが追加された、マージ済みCLIPモデル | CLIP | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeAdd/ja.md) --- **Source fingerprint (SHA-256):** `f212c2750f317ad51516a10a1a03a838b75bc878333381348d5eb388a2faf516` diff --git a/ja/built-in-nodes/CLIPMergeSubtract.mdx b/ja/built-in-nodes/CLIPMergeSubtract.mdx index bd81189df..e3a65fb70 100644 --- a/ja/built-in-nodes/CLIPMergeSubtract.mdx +++ b/ja/built-in-nodes/CLIPMergeSubtract.mdx @@ -5,25 +5,25 @@ sidebarTitle: "CLIPMergeSubtract" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSubtract/ja.md) - CLIPMergeSubtract ノードは、一方のCLIPモデルの重みからもう一方のCLIPモデルの重みを減算することで、モデルのマージを実行します。最初のモデルを複製し、2番目のモデルのキーパッチを減算することで新しいCLIPモデルを作成し、調整可能な乗数で減算の強度を制御します。これにより、ベースモデルから特定の特性を除去することで、微調整されたモデルのブレンドが可能になります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip1` | CLIP | はい | - | 複製および変更されるベースのCLIPモデル | -| `clip2` | CLIP | はい | - | ベースモデルからキーパッチが減算されるCLIPモデル | -| `乗数` | FLOAT | はい | -10.0 ～ 10.0 | 減算操作の強度を制御します（デフォルト: 1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip1` | 複製および変更されるベースのCLIPモデル | CLIP | はい | - | +| `clip2` | ベースモデルからキーパッチが減算されるCLIPモデル | CLIP | はい | - | +| `乗数` | 減算操作の強度を制御します（デフォルト: 1.0） | FLOAT | はい | -10.0 ～ 10.0 | **注:** このノードは、乗数の値に関わらず、`.position_ids` および `.logit_scale` パラメータを減算操作から除外します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `clip` | CLIP | 最初のモデルから2番目のモデルの重みを減算した結果のCLIPモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `clip` | 最初のモデルから2番目のモデルの重みを減算した結果のCLIPモデル | CLIP | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSubtract/ja.md) --- **Source fingerprint (SHA-256):** `3136cf509fcbfa291af8f820928a6cc14de7a586f953af0ada9bea949b437d86` diff --git a/ja/built-in-nodes/CLIPSubtract.mdx b/ja/built-in-nodes/CLIPSubtract.mdx index 373cc749a..35fc01eee 100644 --- a/ja/built-in-nodes/CLIPSubtract.mdx +++ b/ja/built-in-nodes/CLIPSubtract.mdx @@ -6,8 +6,6 @@ icon: "circle" mode: wide translationSourceHash: 561fbc42 translationFrom: built-in-nodes/CLIPSubtract.mdx, zh/built-in-nodes/CLIPSubtract.mdx -translationMismatches: - - "description" --- > このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSubtract/en.md) diff --git a/ja/built-in-nodes/CLIPTextEncodeControlnet.mdx b/ja/built-in-nodes/CLIPTextEncodeControlnet.mdx index b2e6bf19e..ad5433e0c 100644 --- a/ja/built-in-nodes/CLIPTextEncodeControlnet.mdx +++ b/ja/built-in-nodes/CLIPTextEncodeControlnet.mdx @@ -5,27 +5,27 @@ sidebarTitle: "CLIPTextEncodeControlnet" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeControlnet/ja.md) - 以下が翻訳結果です。 CLIPTextEncodeControlnet ノードは、CLIP モデルを使用してテキスト入力を処理し、既存のコンディショニングデータと組み合わせることで、ControlNet アプリケーション向けの拡張コンディショニング出力を生成します。このノードは入力テキストをトークン化し、CLIP モデルを通じてエンコードし、得られた埋め込みをクロスアテンション ControlNet パラメータとして提供されたコンディショニングデータに追加します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `クリップ` | CLIP | はい | - | テキストのトークン化とエンコードに使用される CLIP モデル | -| `コンディショニング` | CONDITIONING | はい | - | ControlNet パラメータで拡張される既存のコンディショニングデータ | -| `テキスト` | STRING | はい | - | CLIP モデルで処理されるテキスト入力。複数行テキストと動的プロンプトに対応 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `クリップ` | テキストのトークン化とエンコードに使用される CLIP モデル | CLIP | はい | - | +| `コンディショニング` | ControlNet パラメータで拡張される既存のコンディショニングデータ | CONDITIONING | はい | - | +| `テキスト` | CLIP モデルで処理されるテキスト入力。複数行テキストと動的プロンプトに対応 | STRING | はい | - | **注記:** このノードが正しく機能するには、3 つの入力（`clip`、`conditioning`、`text`）すべてが必要です。`text` 入力は動的プロンプトと複数行テキストに対応しており、柔軟なテキスト処理が可能です。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | CLIP テキストエンコードから派生した ControlNet クロスアテンションパラメータ（`cross_attn_controlnet` および `pooled_output_controlnet`）が追加された拡張コンディショニングデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | CLIP テキストエンコードから派生した ControlNet クロスアテンションパラメータ（`cross_attn_controlnet` および `pooled_output_controlnet`）が追加された拡張コンディショニングデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeControlnet/ja.md) --- **Source fingerprint (SHA-256):** `dd6f68d822cc38e27c826b634c938d62e07b075e18a0f46f80b462aecca0b70b` diff --git a/ja/built-in-nodes/CLIPTextEncodeHiDream.mdx b/ja/built-in-nodes/CLIPTextEncodeHiDream.mdx index eb5a412f0..06a9b3bb6 100644 --- a/ja/built-in-nodes/CLIPTextEncodeHiDream.mdx +++ b/ja/built-in-nodes/CLIPTextEncodeHiDream.mdx @@ -5,27 +5,27 @@ sidebarTitle: "CLIPTextEncodeHiDream" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/ja.md) - CLIPTextEncodeHiDream ノードは、異なる言語モデル（CLIP-L、CLIP-G、T5-XXL、LLaMA）を使用して4つの個別のテキスト入力を処理し、それらを1つのコンディショニング出力に結合します。各テキスト入力を対応するモデルでトークン化し、スケジュールされたエンコーディング手法を使用して一緒にエンコードすることで、複数の言語モデルを同時に活用した、より高度なテキストコンディショニングを実現します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | - | トークン化とエンコーディングに使用されるCLIPモデル | -| `clip_l` | STRING | はい | - | CLIP-Lモデル処理用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | -| `clip_g` | STRING | はい | - | CLIP-Gモデル処理用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | -| `t5xxl` | STRING | はい | - | T5-XXLモデル処理用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | -| `llama` | STRING | はい | - | LLaMAモデル処理用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip` | トークン化とエンコーディングに使用されるCLIPモデル | CLIP | はい | - | +| `clip_l` | CLIP-Lモデル処理用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | STRING | はい | - | +| `clip_g` | CLIP-Gモデル処理用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | STRING | はい | - | +| `t5xxl` | T5-XXLモデル処理用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | STRING | はい | - | +| `llama` | LLaMAモデル処理用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | STRING | はい | - | **注意:** 4つのテキスト入力（`clip_l`、`clip_g`、`t5xxl`、`llama`）はすべて、正常に機能するために必要です。それぞれがスケジュールされたエンコーディングプロセスを通じて最終的なコンディショニング出力に貢献します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | スケジュールされたエンコーディング手法を使用してエンコードされた、すべての処理済みテキスト入力からの結合されたコンディショニング出力 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | スケジュールされたエンコーディング手法を使用してエンコードされた、すべての処理済みテキスト入力からの結合されたコンディショニング出力 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/ja.md) --- **Source fingerprint (SHA-256):** `51d117d82a9d833f095e874bf442d5cf8c46a12313fda6b98e628fa988797565` diff --git a/ja/built-in-nodes/CLIPTextEncodeKandinsky5.mdx b/ja/built-in-nodes/CLIPTextEncodeKandinsky5.mdx index 9e860a697..a24cfc815 100644 --- a/ja/built-in-nodes/CLIPTextEncodeKandinsky5.mdx +++ b/ja/built-in-nodes/CLIPTextEncodeKandinsky5.mdx @@ -5,25 +5,25 @@ sidebarTitle: "CLIPTextEncodeKandinsky5" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeKandinsky5/ja.md) - 以下が翻訳結果です。 CLIPTextEncodeKandinsky5 ノードは、Kandinsky 5 モデルで使用するテキストプロンプトを準備します。このノードは、2 つの個別のテキスト入力を受け取り、提供された CLIP モデルを使用してトークン化し、それらを 1 つの conditioning 出力に結合します。この出力は、画像生成プロセスをガイドするために使用されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | | テキストプロンプトをトークン化およびエンコードするために使用する CLIP モデル。 | -| `clip_l` | STRING | はい | | 主要なテキストプロンプト。この入力は複数行テキストと動的プロンプトをサポートします。 | -| `qwen25_7b` | STRING | はい | | 2 番目のテキストプロンプト。この入力は複数行テキストと動的プロンプトをサポートします。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip` | テキストプロンプトをトークン化およびエンコードするために使用する CLIP モデル。 | CLIP | はい | | +| `clip_l` | 主要なテキストプロンプト。この入力は複数行テキストと動的プロンプトをサポートします。 | STRING | はい | | +| `qwen25_7b` | 2 番目のテキストプロンプト。この入力は複数行テキストと動的プロンプトをサポートします。 | STRING | はい | | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 両方のテキストプロンプトから生成された結合 conditioning データ。画像生成のために Kandinsky 5 モデルに入力する準備ができています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 両方のテキストプロンプトから生成された結合 conditioning データ。画像生成のために Kandinsky 5 モデルに入力する準備ができています。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeKandinsky5/ja.md) --- **Source fingerprint (SHA-256):** `80227cf87d46bfa42b07976ab29996ae9583a4c461b2f2408db4b7016d3e1a0c` diff --git a/ja/built-in-nodes/CLIPTextEncodeLumina2.mdx b/ja/built-in-nodes/CLIPTextEncodeLumina2.mdx index 3a4edb27a..c44279710 100644 --- a/ja/built-in-nodes/CLIPTextEncodeLumina2.mdx +++ b/ja/built-in-nodes/CLIPTextEncodeLumina2.mdx @@ -5,8 +5,6 @@ sidebarTitle: "CLIPTextEncodeLumina2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,19 +12,21 @@ CLIP Text Encode for Lumina2 ノードは、システムプロンプトとユー ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `system_prompt` | STRING | はい | `"superior"`
`"alignment"` | Lumina2 は2種類のシステムプロンプトを提供します。「superior」は画像とテキストの対応が優れた画像を生成し、「alignment」は画像とテキストの対応が最も高い高品質な画像を生成します。 | -| `user_prompt` | STRING | はい | なし | エンコードするテキストです。複数行の入力と動的プロンプトに対応しています。 | -| `clip` | CLIP | はい | なし | テキストのエンコードに使用するCLIPモデルです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `system_prompt` | Lumina2 は2種類のシステムプロンプトを提供します。「superior」は画像とテキストの対応が優れた画像を生成し、「alignment」は画像とテキストの対応が最も高い高品質な画像を生成します。 | STRING | はい | `"superior"`
`"alignment"` | +| `user_prompt` | エンコードするテキストです。複数行の入力と動的プロンプトに対応しています。 | STRING | はい | なし | +| `clip` | テキストのエンコードに使用するCLIPモデルです。 | CLIP | はい | なし | **注記:** `clip` 入力は必須であり、None にすることはできません。clip 入力が無効な場合、ノードはチェックポイントに有効なCLIPまたはテキストエンコーダモデルが含まれていないことを示すエラーを発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 拡散モデルをガイドするために使用される、埋め込みテキストを含むコンディショニングです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 拡散モデルをガイドするために使用される、埋め込みテキストを含むコンディショニングです。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/ja.md) --- **Source fingerprint (SHA-256):** `fcc0802180ffc2c0757b395850d54632da011473da0c6b1c5268b42da3747024` diff --git a/ja/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx b/ja/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx index ce73ef920..368a424fb 100644 --- a/ja/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx +++ b/ja/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx @@ -5,26 +5,26 @@ sidebarTitle: "CLIPTextEncodePixArtAlpha" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/ja.md) - このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/en.md) PixArt Alpha用にテキストをエンコードし、解像度の条件付けを設定します。このノードはテキスト入力を処理し、幅と高さの情報を追加して、PixArt Alphaモデル専用の条件付けデータを作成します。PixArt Sigmaモデルには適用されません。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `幅` | INT | はい | 0 ～ MAX_RESOLUTION | 解像度条件付けの幅寸法（デフォルト：1024） | -| `高さ` | INT | はい | 0 ～ MAX_RESOLUTION | 解像度条件付けの高さ寸法（デフォルト：1024） | -| `テキスト` | STRING | はい | - | エンコードするテキスト入力。複数行入力と動的プロンプトに対応しています | -| `clip` | CLIP | はい | - | トークン化とエンコードに使用するCLIPモデル | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `幅` | 解像度条件付けの幅寸法（デフォルト：1024） | INT | はい | 0 ～ MAX_RESOLUTION | +| `高さ` | 解像度条件付けの高さ寸法（デフォルト：1024） | INT | はい | 0 ～ MAX_RESOLUTION | +| `テキスト` | エンコードするテキスト入力。複数行入力と動的プロンプトに対応しています | STRING | はい | - | +| `clip` | トークン化とエンコードに使用するCLIPモデル | CLIP | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | テキストトークンと解像度情報を含むエンコード済み条件付けデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | テキストトークンと解像度情報を含むエンコード済み条件付けデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/ja.md) --- **Source fingerprint (SHA-256):** `d15df3c7bcca10ec85f0689d6631a6b89aa89e609193c36b658b1bc97f90ee9a` diff --git a/ja/built-in-nodes/CLIPTextEncodeSD3.mdx b/ja/built-in-nodes/CLIPTextEncodeSD3.mdx index d384f44d6..77af06b40 100644 --- a/ja/built-in-nodes/CLIPTextEncodeSD3.mdx +++ b/ja/built-in-nodes/CLIPTextEncodeSD3.mdx @@ -5,19 +5,17 @@ sidebarTitle: "CLIPTextEncodeSD3" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSD3/ja.md) - CLIPTextEncodeSD3 ノードは、複数のテキストプロンプトを異なるCLIPモデルを使用してエンコードすることで、Stable Diffusion 3モデル向けのテキスト入力を処理します。このノードは3つの個別のテキスト入力（`clip_g`、`clip_l`、`t5xxl`）を処理し、空のテキストパディングを管理するためのオプションを提供します。ノードは異なるテキスト入力間で適切なトークン位置合わせを保証し、SD3生成パイプラインに適した条件付けデータを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `クリップ` | CLIP | はい | - | テキストエンコードに使用されるCLIPモデル | -| `クリップ_l` | STRING | はい | - | ローカルCLIPモデル用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | -| `クリップ_g` | STRING | はい | - | グローバルCLIPモデル用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | -| `t5xxl` | STRING | はい | - | T5-XXLモデル用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | -| `空のパディング` | COMBO | はい | `"none"`
`"empty_prompt"` | 空のテキスト入力の処理方法を制御します。"none"に設定すると、`クリップ_g`、`クリップ_l`、または`t5xxl`の空のテキスト入力はパディングではなく空のトークンリストになります。これは高度なパラメータです（デフォルト："none"）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `クリップ` | テキストエンコードに使用されるCLIPモデル | CLIP | はい | - | +| `クリップ_l` | ローカルCLIPモデル用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | STRING | はい | - | +| `クリップ_g` | グローバルCLIPモデル用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | STRING | はい | - | +| `t5xxl` | T5-XXLモデル用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | STRING | はい | - | +| `空のパディング` | 空のテキスト入力の処理方法を制御します。"none"に設定すると、`クリップ_g`、`クリップ_l`、または`t5xxl`の空のテキスト入力はパディングではなく空のトークンリストになります。これは高度なパラメータです（デフォルト："none"）。 | COMBO | はい | `"none"`
`"empty_prompt"` | **パラメータ制約：** @@ -27,9 +25,11 @@ CLIPTextEncodeSD3 ノードは、複数のテキストプロンプトを異な ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | SD3生成パイプラインで使用する準備が整った、エンコードされたテキスト条件付けデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | SD3生成パイプラインで使用する準備が整った、エンコードされたテキスト条件付けデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSD3/ja.md) --- **Source fingerprint (SHA-256):** `38f7538d05fe48e74f41f265550b83906b2f0c5d31f0783f6859f4df7b5cb9d3` diff --git a/ja/built-in-nodes/Canny.mdx b/ja/built-in-nodes/Canny.mdx index 3aa7dd1e5..26fead014 100755 --- a/ja/built-in-nodes/Canny.mdx +++ b/ja/built-in-nodes/Canny.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Canny" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Canny/ja.md) - 写真からすべてのエッジラインを抽出します。まるで写真をペンでなぞるように、オブジェクトの輪郭や詳細の境界線を描き出します。 ## 動作原理 @@ -23,17 +21,17 @@ mode: wide ## 入力 -| パラメータ名 | データ型 | 入力タイプ | デフォルト値 | 範囲 | 機能説明 | -|------------------|-----------|------------|-------------|-----------|----------| -| `イメージ` | IMAGE | 入力 | - | - | エッジ抽出が必要な元の写真 | -| `低い閾値` | FLOAT | ウィジェット | 0.4 | 0.01-0.99 | 低しきい値。無視する弱いエッジの基準を決定します。値を低くすると詳細が保持されますが、ノイズが発生する可能性があります | -| `高い閾値` | FLOAT | ウィジェット | 0.8 | 0.01-0.99 | 高しきい値。保持する強いエッジの基準を決定します。値を高くすると、最も明瞭な輪郭線のみが保持されます | +| パラメータ名 | 機能説明 | データ型 | 入力タイプ | デフォルト値 | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `イメージ` | エッジ抽出が必要な元の写真 | IMAGE | 入力 | - | - | +| `低い閾値` | 低しきい値。無視する弱いエッジの基準を決定します。値を低くすると詳細が保持されますが、ノイズが発生する可能性があります | FLOAT | ウィジェット | 0.4 | 0.01-0.99 | +| `高い閾値` | 高しきい値。保持する強いエッジの基準を決定します。値を高くすると、最も明瞭な輪郭線のみが保持されます | FLOAT | ウィジェット | 0.8 | 0.01-0.99 | ## 出力 -| 出力名 | データ型 | 説明 | -|-----------|-----------|------| -| `イメージ` | IMAGE | 白黒のエッジ画像。白い線が検出されたエッジ、黒い領域がエッジのない部分です | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `イメージ` | 白黒のエッジ画像。白い線が検出されたエッジ、黒い領域がエッジのない部分です | IMAGE | ## パラメータ比較 @@ -46,4 +44,6 @@ mode: wide - エッジが途切れている：高しきい値を下げてみてください - ノイズが多すぎる：低しきい値を上げてください - 重要な詳細が欠落している：低しきい値を下げてください -- エッジが粗すぎる：入力画像の品質と解像度を確認してください \ No newline at end of file +- エッジが粗すぎる：入力画像の品質と解像度を確認してください + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Canny/ja.md) diff --git a/ja/built-in-nodes/CaseConverter.mdx b/ja/built-in-nodes/CaseConverter.mdx index e0ee2d2c4..0079de76b 100644 --- a/ja/built-in-nodes/CaseConverter.mdx +++ b/ja/built-in-nodes/CaseConverter.mdx @@ -5,24 +5,24 @@ sidebarTitle: "CaseConverter" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CaseConverter/ja.md) - このドキュメントはAIによって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CaseConverter/en.md) Case Converterノードは、テキスト文字列を異なる文字ケース形式に変換します。入力文字列を受け取り、選択されたモードに基づいて変換し、指定されたケース形式が適用された出力文字列を生成します。このノードは、テキストの大文字小文字を変更するための4つの異なるケース変換オプションをサポートしています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `文字列` | STRING | はい | - | 異なるケース形式に変換するテキスト文字列 | -| `モード` | STRING | はい | `"UPPERCASE"`
`"lowercase"`
`"Capitalize"`
`"Title Case"` | 適用するケース変換モード（デフォルト: `"UPPERCASE"`） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `文字列` | 異なるケース形式に変換するテキスト文字列 | STRING | はい | - | +| `モード` | 適用するケース変換モード（デフォルト: `"UPPERCASE"`） | STRING | はい | `"UPPERCASE"`
`"lowercase"`
`"Capitalize"`
`"Title Case"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | 指定されたケース形式に変換された入力文字列 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 指定されたケース形式に変換された入力文字列 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CaseConverter/ja.md) --- **Source fingerprint (SHA-256):** `2493daccd5bdd86ce3fb24c6658057f5e50c2d6ed7616785f40806826f9a60dc` diff --git a/ja/built-in-nodes/CenterCropImages.mdx b/ja/built-in-nodes/CenterCropImages.mdx index 5d80501d8..51b06a392 100644 --- a/ja/built-in-nodes/CenterCropImages.mdx +++ b/ja/built-in-nodes/CenterCropImages.mdx @@ -5,8 +5,6 @@ sidebarTitle: "CenterCropImages" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CenterCropImages/ja.md) - 以下は、ご指定の翻訳ルールに従って日本語に翻訳したドキュメントです。 --- @@ -15,17 +13,19 @@ Center Crop Images ノードは、画像の中心から指定された幅と高 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | クロップする入力画像です。 | -| `幅` | INT | はい | 1 ～ 8192 | クロップ領域の幅です（デフォルト：512）。 | -| `高さ` | INT | はい | 1 ～ 8192 | クロップ領域の高さです（デフォルト：512）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | クロップする入力画像です。 | IMAGE | はい | - | +| `幅` | クロップ領域の幅です（デフォルト：512）。 | INT | はい | 1 ～ 8192 | +| `高さ` | クロップ領域の高さです（デフォルト：512）。 | INT | はい | 1 ～ 8192 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | センタークロップ処理後の結果画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | センタークロップ処理後の結果画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CenterCropImages/ja.md) --- **Source fingerprint (SHA-256):** `4361b6630ab1833e035d6ab04a130fb36fff33cddc36b54ff5a2d8e04534a555` diff --git a/ja/built-in-nodes/CheckpointLoader.mdx b/ja/built-in-nodes/CheckpointLoader.mdx index b03ab22d9..4aa027c4c 100644 --- a/ja/built-in-nodes/CheckpointLoader.mdx +++ b/ja/built-in-nodes/CheckpointLoader.mdx @@ -5,8 +5,6 @@ sidebarTitle: "CheckpointLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoader/ja.md) - 以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。 --- @@ -15,22 +13,24 @@ CheckpointLoaderノードは、事前学習済みモデルのチェックポイ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `設定名` | STRING | はい | 利用可能な設定ファイル | モデルのアーキテクチャと設定を定義する設定ファイル | -| `ckpt名` | STRING | はい | 利用可能なチェックポイントファイル | 学習済みモデルの重みとパラメータを含むチェックポイントファイル | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `設定名` | モデルのアーキテクチャと設定を定義する設定ファイル | STRING | はい | 利用可能な設定ファイル | +| `ckpt名` | 学習済みモデルの重みとパラメータを含むチェックポイントファイル | STRING | はい | 利用可能なチェックポイントファイル | **注記：** このノードを使用するには、設定ファイルとチェックポイントファイルの両方を選択する必要があります。設定ファイルは、読み込むチェックポイントファイルのアーキテクチャと一致している必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MODEL` | MODEL | 推論の準備ができた、読み込まれたメインモデルコンポーネント | -| `CLIP` | CLIP | テキストエンコーディング用に読み込まれたCLIPモデルコンポーネント | -| `VAE` | VAE | 画像のエンコードとデコード用に読み込まれたVAEモデルコンポーネント | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MODEL` | 推論の準備ができた、読み込まれたメインモデルコンポーネント | MODEL | +| `CLIP` | テキストエンコーディング用に読み込まれたCLIPモデルコンポーネント | CLIP | +| `VAE` | 画像のエンコードとデコード用に読み込まれたVAEモデルコンポーネント | VAE | **重要な注意点：** このノードは非推奨としてマークされており、将来のバージョンで削除される可能性があります。新しいワークフローでは、代替の読み込みノードの使用を検討してください。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoader/ja.md) + --- **Source fingerprint (SHA-256):** `9977bda5e124a9d10566839cbee868c74fab120c454141f27ce145efa60105e9` diff --git a/ja/built-in-nodes/CheckpointLoaderSimple.mdx b/ja/built-in-nodes/CheckpointLoaderSimple.mdx index 1d39e1848..63ba582a7 100755 --- a/ja/built-in-nodes/CheckpointLoaderSimple.mdx +++ b/ja/built-in-nodes/CheckpointLoaderSimple.mdx @@ -5,27 +5,27 @@ sidebarTitle: "CheckpointLoaderSimple" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoaderSimple/ja.md) - ## 概要 拡散モデルのチェックポイントファイルを読み込み、ノイズ除去用の潜在変数を処理するメインモデル、CLIPテキストエンコーダー、VAE画像エンコーダー/デコーダーの3つのコアコンポーネントに分解します。このノードは、`ComfyUI/models/checkpoints`フォルダ内のすべてのモデルファイルと、`extra_model_paths.yaml`ファイルで設定された追加パスを自動的に検出します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ckpt名` | STRING | はい | checkpointsフォルダ内の全モデルファイル | 読み込むチェックポイント（モデル）の名前です。チェックポイントモデルファイル名を選択します。これにより、以降の画像生成で使用されるAIモデルが決定されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ckpt名` | 読み込むチェックポイント（モデル）の名前です。チェックポイントモデルファイル名を選択します。これにより、以降の画像生成で使用されるAIモデルが決定されます。 | STRING | はい | checkpointsフォルダ内の全モデルファイル | **注意：** ComfyUIの実行中に新しいモデルファイルが追加された場合は、ブラウザを更新（Ctrl+R）して、ドロップダウンリストに新しいファイルを表示する必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MODEL` | MODEL | 潜在変数のノイズ除去に使用されるモデルです。画像生成の中核となる拡散モデルです。 | -| `CLIP` | CLIP | テキストプロンプトのエンコードに使用されるCLIPモデルで、テキストによる説明をAIが理解できる情報に変換します。 | -| `VAE` | VAE | 画像と潜在空間の間のエンコードおよびデコードに使用されるVAEモデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MODEL` | 潜在変数のノイズ除去に使用されるモデルです。画像生成の中核となる拡散モデルです。 | MODEL | +| `CLIP` | テキストプロンプトのエンコードに使用されるCLIPモデルで、テキストによる説明をAIが理解できる情報に変換します。 | CLIP | +| `VAE` | 画像と潜在空間の間のエンコードおよびデコードに使用されるVAEモデルです。 | VAE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoaderSimple/ja.md) --- **Source fingerprint (SHA-256):** `2fd8866ae659f8080f46c16d3a9864fa563d2090815d897ea2f42ba8d66d9b39` diff --git a/ja/built-in-nodes/CheckpointSave.mdx b/ja/built-in-nodes/CheckpointSave.mdx index 917e41fd9..3196c5974 100755 --- a/ja/built-in-nodes/CheckpointSave.mdx +++ b/ja/built-in-nodes/CheckpointSave.mdx @@ -5,20 +5,18 @@ sidebarTitle: "CheckpointSave" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointSave/ja.md) - `Save Checkpoint`ノードは、完全なStable Diffusionモデル（UNet、CLIP、VAEコンポーネントを含む）を **.safetensors** 形式のチェックポイントファイルとして保存するために設計されています。 Save Checkpointは主にモデルマージワークフローで使用されます。`ModelMergeSimple`、`ModelMergeBlocks`などのノードを通じて新しいマージモデルを作成した後、このノードを使用して結果を再利用可能なチェックポイントファイルとして保存できます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-----------|-------------| -| `モデル` | MODEL | このパラメータは、状態を保存する主要なモデルを表します。将来の復元や分析のためにモデルの現在の状態をキャプチャするために不可欠です。 | -| `clip` | CLIP | このパラメータは、主要モデルに関連付けられたCLIPモデルを対象としており、その状態をメインモデルと一緒に保存できます。 | -| `vae` | VAE | このパラメータは、Variational Autoencoder（VAE）モデルを対象としており、その状態をメインモデルやCLIPと一緒に将来の使用や分析のために保存できます。 | -| `ファイル名プレフィックス` | STRING | このパラメータは、チェックポイントが保存されるファイル名のプレフィックスを指定します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | このパラメータは、状態を保存する主要なモデルを表します。将来の復元や分析のためにモデルの現在の状態をキャプチャするために不可欠です。 | MODEL | +| `clip` | このパラメータは、主要モデルに関連付けられたCLIPモデルを対象としており、その状態をメインモデルと一緒に保存できます。 | CLIP | +| `vae` | このパラメータは、Variational Autoencoder（VAE）モデルを対象としており、その状態をメインモデルやCLIPと一緒に将来の使用や分析のために保存できます。 | VAE | +| `ファイル名プレフィックス` | このパラメータは、チェックポイントが保存されるファイル名のプレフィックスを指定します。 | STRING | さらに、このノードにはメタデータ用の2つの隠し入力があります。 @@ -36,4 +34,6 @@ Save Checkpointは主にモデルマージワークフローで使用されま ## 関連リンク -関連ソースコード：[nodes_model_merging.py#L227](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_model_merging.py#L227) \ No newline at end of file +関連ソースコード：[nodes_model_merging.py#L227](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_model_merging.py#L227) + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointSave/ja.md) diff --git a/ja/built-in-nodes/ChromaRadianceOptions.mdx b/ja/built-in-nodes/ChromaRadianceOptions.mdx index 25cc5f0a4..fd41bd92b 100644 --- a/ja/built-in-nodes/ChromaRadianceOptions.mdx +++ b/ja/built-in-nodes/ChromaRadianceOptions.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ChromaRadianceOptions" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ChromaRadianceOptions/ja.md) - 以下が翻訳結果です。 --- @@ -15,21 +13,23 @@ ChromaRadianceOptionsノードを使用すると、Chroma Radianceモデルの ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | Chroma Radianceオプションを適用するモデル | -| `ラッパーを保持` | BOOLEAN | いいえ | - | 有効にすると、既存のモデル関数ラッパーが存在する場合にそれを委譲します。通常は有効のままにしておく必要があります。（デフォルト：True） | -| `開始シグマ` | FLOAT | いいえ | 0.0 ～ 1.0 | これらのオプションが有効になる最初のシグマ値。（デフォルト：1.0） | -| `終了シグマ` | FLOAT | いいえ | 0.0 ～ 1.0 | これらのオプションが有効になる最後のシグマ値。（デフォルト：0.0） | -| `NeRFタイルサイズ` | INT | いいえ | -1 以上 | デフォルトのNeRFタイルサイズを上書きできます。-1はデフォルト値（32）を使用することを意味します。0は非タイルモードを使用することを意味します（大量のVRAMを必要とする場合があります）。（デフォルト：-1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | Chroma Radianceオプションを適用するモデル | MODEL | はい | - | +| `ラッパーを保持` | 有効にすると、既存のモデル関数ラッパーが存在する場合にそれを委譲します。通常は有効のままにしておく必要があります。（デフォルト：True） | BOOLEAN | いいえ | - | +| `開始シグマ` | これらのオプションが有効になる最初のシグマ値。（デフォルト：1.0） | FLOAT | いいえ | 0.0 ～ 1.0 | +| `終了シグマ` | これらのオプションが有効になる最後のシグマ値。（デフォルト：0.0） | FLOAT | いいえ | 0.0 ～ 1.0 | +| `NeRFタイルサイズ` | デフォルトのNeRFタイルサイズを上書きできます。-1はデフォルト値（32）を使用することを意味します。0は非タイルモードを使用することを意味します（大量のVRAMを必要とする場合があります）。（デフォルト：-1） | INT | いいえ | -1 以上 | **注記：** Chroma Radianceオプションは、現在のシグマ値が`end_sigma`と`start_sigma`の間（両端を含む）にある場合にのみ有効になります。`nerf_tile_size`パラメータは、0以上の値に設定された場合にのみ適用されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | Chroma Radianceオプションが適用された変更済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | Chroma Radianceオプションが適用された変更済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ChromaRadianceOptions/ja.md) --- **Source fingerprint (SHA-256):** `b49a12e9aba59e4669c59e05a6aeff6d4ae5a4b656ca5b0de4bdf71291dca095` diff --git a/ja/built-in-nodes/ClaudeNode.mdx b/ja/built-in-nodes/ClaudeNode.mdx index eeeecb3c5..f342b6fc8 100644 --- a/ja/built-in-nodes/ClaudeNode.mdx +++ b/ja/built-in-nodes/ClaudeNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "ClaudeNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/ja.md) - ## 概要 Anthropic Claude モデルからテキスト応答を生成します。このノードはテキストプロンプトとオプションの画像をClaudeモデルに送信し、生成されたテキスト応答を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | なし | モデルへのテキスト入力。（デフォルト：空文字列） | -| `モデル` | COMBO | はい | `"Opus 4.7"`
`"Opus 4.6"`
`"Sonnet 4.6"`
`"Sonnet 4.5"`
`"Haiku 4.5"` | 応答生成に使用するClaudeモデル。 | -| `シード` | INT | はい | 0～2147483647 | シード値はノードを再実行するかどうかを制御します。結果はシード値に関わらず非決定的です。（デフォルト：0） | -| `画像` | IMAGE | いいえ | 0～20枚の画像 | モデルのコンテキストとして使用するオプションの画像。最大20枚まで指定可能。 | -| `システムプロンプト` | STRING | いいえ | なし | モデルの動作を指示する基本命令。（デフォルト：空文字列） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | モデルへのテキスト入力。（デフォルト：空文字列） | STRING | はい | なし | +| `モデル` | 応答生成に使用するClaudeモデル。 | COMBO | はい | `"Opus 4.7"`
`"Opus 4.6"`
`"Sonnet 4.6"`
`"Sonnet 4.5"`
`"Haiku 4.5"` | +| `シード` | シード値はノードを再実行するかどうかを制御します。結果はシード値に関わらず非決定的です。（デフォルト：0） | INT | はい | 0～2147483647 | +| `画像` | モデルのコンテキストとして使用するオプションの画像。最大20枚まで指定可能。 | IMAGE | いいえ | 0～20枚の画像 | +| `システムプロンプト` | モデルの動作を指示する基本命令。（デフォルト：空文字列） | STRING | いいえ | なし | ### パラメータ制約 @@ -29,9 +27,11 @@ Anthropic Claude モデルからテキスト応答を生成します。このノ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | Claudeモデルから生成されたテキスト応答。テキストが生成されなかった場合は「Empty response from Claude model.」を返します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | Claudeモデルから生成されたテキスト応答。テキストが生成されなかった場合は「Empty response from Claude model.」を返します。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/ja.md) --- **Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382` diff --git a/ja/built-in-nodes/ClipLoader.mdx b/ja/built-in-nodes/ClipLoader.mdx index 431c6a601..83e0967a9 100755 --- a/ja/built-in-nodes/ClipLoader.mdx +++ b/ja/built-in-nodes/ClipLoader.mdx @@ -5,19 +5,17 @@ sidebarTitle: "CLIPLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPLoader/ja.md) - 以下が翻訳結果です。 CLIPLoader ノードは、テキストエンコーダモデル（CLIP、T5、または類似のもの）をファイルから読み込み、テキストプロンプトを数値表現に変換する必要がある他のノードで使用できるようにします。このノードは多種多様なモデルアーキテクチャをサポートしており、それぞれに特定のエンコーダタイプが必要です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip名` | STRING | はい | `text_encoders` フォルダ内にあるファイルのリスト | 読み込むテキストエンコーダモデルのファイル名です。このファイルは `ComfyUI/models/text_encoders/` または `ComfyUI/models/clip/` ディレクトリに配置されている必要があります。 | -| `タイプ` | STRING | はい | `"stable_diffusion"`
`"stable_cascade"`
`"sd3"`
`"stable_audio"`
`"mochi"`
`"ltxv"`
`"pixart"`
`"cosmos"`
`"lumina2"`
`"wan"`
`"hidream"`
`"chroma"`
`"ace"`
`"omnigen2"`
`"qwen_image"`
`"hunyuan_image"`
`"flux2"`
`"ovis"`
`"longcat_image"`
`"cogvideox"` | 読み込むモデルのアーキテクチャタイプです。これにより、使用する特定のエンコーダのバリエーションが決定されます。デフォルトは `"stable_diffusion"` です。 | -| `デバイス` | STRING | いいえ | `"default"`
`"cpu"` | モデルを読み込むデバイスです。`"default"` は GPU が利用可能な場合は GPU を使用し、`"cpu"` は強制的に CPU で読み込みます。これは高度なオプションです（デフォルト: `"default"`）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip名` | 読み込むテキストエンコーダモデルのファイル名です。このファイルは `ComfyUI/models/text_encoders/` または `ComfyUI/models/clip/` ディレクトリに配置されている必要があります。 | STRING | はい | `text_encoders` フォルダ内にあるファイルのリスト | +| `タイプ` | 読み込むモデルのアーキテクチャタイプです。これにより、使用する特定のエンコーダのバリエーションが決定されます。デフォルトは `"stable_diffusion"` です。 | STRING | はい | `"stable_diffusion"`
`"stable_cascade"`
`"sd3"`
`"stable_audio"`
`"mochi"`
`"ltxv"`
`"pixart"`
`"cosmos"`
`"lumina2"`
`"wan"`
`"hidream"`
`"chroma"`
`"ace"`
`"omnigen2"`
`"qwen_image"`
`"hunyuan_image"`
`"flux2"`
`"ovis"`
`"longcat_image"`
`"cogvideox"` | +| `デバイス` | モデルを読み込むデバイスです。`"default"` は GPU が利用可能な場合は GPU を使用し、`"cpu"` は強制的に CPU で読み込みます。これは高度なオプションです（デフォルト: `"default"`）。 | STRING | いいえ | `"default"`
`"cpu"` | ### サポートされているタイプとエンコーダのマッピング @@ -39,9 +37,11 @@ CLIPLoader ノードは、テキストエンコーダモデル（CLIP、T5、ま ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `clip` | CLIP | 読み込まれたテキストエンコーダモデルです。テキストエンコーディングやコンディショニングのために他のノードに接続できる状態になっています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `clip` | 読み込まれたテキストエンコーダモデルです。テキストエンコーディングやコンディショニングのために他のノードに接続できる状態になっています。 | CLIP | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPLoader/ja.md) --- **Source fingerprint (SHA-256):** `1051bfe5570dff81719682cb09938bae4c03e94e0e72f7a2be84867cccb48017` diff --git a/ja/built-in-nodes/ClipMergeSimple.mdx b/ja/built-in-nodes/ClipMergeSimple.mdx index ebedc2750..074b2b64b 100755 --- a/ja/built-in-nodes/ClipMergeSimple.mdx +++ b/ja/built-in-nodes/ClipMergeSimple.mdx @@ -5,8 +5,6 @@ sidebarTitle: "CLIPMergeSimple" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSimple/ja.md) - 以下が翻訳です。 `CLIPMergeSimple` は、指定された比率に基づいて2つのCLIPテキストエンコーダモデルを結合する、高度なモデルマージノードです。 @@ -15,17 +13,17 @@ mode: wide ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `clip1` | CLIP | 必須 | - | - | マージの対象となる最初のCLIPモデルです。マージ処理のベースモデルとして機能します。 | -| `clip2` | CLIP | 必須 | - | - | マージの対象となる2番目のCLIPモデルです。位置IDとロジットスケールを除く主要なパッチが、指定された比率に基づいて最初のモデルに適用されます。 | -| `比率` | FLOAT | 必須 | 1.0 | 0.0 - 1.0 (ステップ: 0.01) | 2番目のモデルの特徴を最初のモデルにブレンドする割合を決定します。比率が1.0の場合は2番目のモデルの特徴を完全に採用し、0.0の場合は最初のモデルの特徴のみを保持します。 | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `clip1` | マージの対象となる最初のCLIPモデルです。マージ処理のベースモデルとして機能します。 | CLIP | 必須 | - | - | +| `clip2` | マージの対象となる2番目のCLIPモデルです。位置IDとロジットスケールを除く主要なパッチが、指定された比率に基づいて最初のモデルに適用されます。 | CLIP | 必須 | - | - | +| `比率` | 2番目のモデルの特徴を最初のモデルにブレンドする割合を決定します。比率が1.0の場合は2番目のモデルの特徴を完全に採用し、0.0の場合は最初のモデルの特徴のみを保持します。 | FLOAT | 必須 | 1.0 | 0.0 - 1.0 (ステップ: 0.01) | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `clip` | CLIP | 指定された比率に従って、両方の入力モデルの特徴を組み込んだ、マージ後のCLIPモデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `clip` | 指定された比率に従って、両方の入力モデルの特徴を組み込んだ、マージ後のCLIPモデルです。 | CLIP | ## マージメカニズムの解説 @@ -50,5 +48,7 @@ mode: wide 2. **パフォーマンスの最適化**: 異なるモデルの長所と短所のバランスを取ります。 3. **実験的研究**: 異なるCLIPエンコーダの組み合わせを探索します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSimple/ja.md) + --- **Source fingerprint (SHA-256):** `0d3c8388dbe88675ea7fb51161ab41ce898bcf63983b3d2817b16ec5bfa613e5` diff --git a/ja/built-in-nodes/ClipSave.mdx b/ja/built-in-nodes/ClipSave.mdx index fb9673e94..4dfe1e5c4 100755 --- a/ja/built-in-nodes/ClipSave.mdx +++ b/ja/built-in-nodes/ClipSave.mdx @@ -5,18 +5,16 @@ sidebarTitle: "CLIPSave" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSave/ja.md) - `CLIPSave`ノードは、CLIPテキストエンコーダーモデルをSafeTensors形式でディスクに保存します。高度なモデルマージワークフロー向けに設計されており、モデルの内部構造に基づいてCLIPモデルを構成要素（CLIP-L、CLIP-G、T5XXLなど）に自動的に分割し、各コンポーネントを個別のファイルとして保存します。 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `clip` | CLIP | 必須 | - | - | 保存するCLIPモデル。 | -| `ファイル名プレフィックス` | STRING | 必須 | `clip/ComfyUI` | - | 保存ファイルのプレフィックスパスとファイル名。ノードはコンポーネントの接尾辞（例：`_clip_l`、`_clip_g`）とカウンターを追加して、一意のファイル名を生成します。 | -| `prompt` | PROMPT | 非表示 | - | - | ワークフローのプロンプト情報。出力ファイルにメタデータとして保存されます。 | -| `extra_pnginfo` | EXTRA_PNGINFO | 非表示 | - | - | 追加のメタデータ。出力ファイルにキーと値のペアとして保存されます。 | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト値 | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `clip` | 保存するCLIPモデル。 | CLIP | 必須 | - | - | +| `ファイル名プレフィックス` | 保存ファイルのプレフィックスパスとファイル名。ノードはコンポーネントの接尾辞（例：`_clip_l`、`_clip_g`）とカウンターを追加して、一意のファイル名を生成します。 | STRING | 必須 | `clip/ComfyUI` | - | +| `prompt` | ワークフローのプロンプト情報。出力ファイルにメタデータとして保存されます。 | PROMPT | 非表示 | - | - | +| `extra_pnginfo` | 追加のメタデータ。出力ファイルにキーと値のペアとして保存されます。 | EXTRA_PNGINFO | 非表示 | - | - | ## 出力 @@ -41,5 +39,7 @@ mode: wide 検出された各コンポーネントに対して、ノードは`{filename_prefix}_{counter:05}_.safetensors`という名前のファイルを作成します。ここで、コンポーネントのプレフィックスはファイル名プレフィックスに追加されます（例：`clip/ComfyUI_clip_l_00001_.safetensors`）。保存時には、パラメータキーから`transformer.`プレフィックスが削除されます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSave/ja.md) + --- **Source fingerprint (SHA-256):** `039b39cbfb9b04ccebc5fc885ebe75dfde14838530d38133d0a3a6311e392059` diff --git a/ja/built-in-nodes/ClipSetLastLayer.mdx b/ja/built-in-nodes/ClipSetLastLayer.mdx index 5e2d2961b..933cd8762 100755 --- a/ja/built-in-nodes/ClipSetLastLayer.mdx +++ b/ja/built-in-nodes/ClipSetLastLayer.mdx @@ -5,8 +5,6 @@ sidebarTitle: "CLIPSetLastLayer" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSetLastLayer/ja.md) - `CLIP Set Last Layer` は、CLIPモデルの処理深度を制御するためのComfyUIのコアノードです。ユーザーはCLIPテキストエンコーダーの処理を停止する位置を正確に指定でき、テキスト理解の深さと生成画像のスタイルの両方に影響を与えます。 CLIPモデルを24層からなるインテリジェントな脳として想像してみてください。 @@ -24,16 +22,16 @@ CLIPモデルを24層からなるインテリジェントな脳として想像 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `クリップ` | CLIP | はい | - | 変更対象のCLIPモデル | -| `クリップ_レイヤーで停止` | INT | はい | -24 ～ -1 | 処理を停止する層を指定します。-1は全層を使用し、-24は最初の層のみを使用します（デフォルト：-1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `クリップ` | 変更対象のCLIPモデル | CLIP | はい | - | +| `クリップ_レイヤーで停止` | 処理を停止する層を指定します。-1は全層を使用し、-24は最初の層のみを使用します（デフォルト：-1） | INT | はい | -24 ～ -1 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `クリップ` | CLIP | 指定された層を最終層として設定した、変更済みのCLIPモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `クリップ` | 指定された層を最終層として設定した、変更済みのCLIPモデル | CLIP | ## 最終層を設定する理由 @@ -41,5 +39,7 @@ CLIPモデルを24層からなるインテリジェントな脳として想像 - **スタイル制御**：理解の深さの違いにより、異なるアーティスティックなスタイルが生成されます - **互換性**：特定の層でより良いパフォーマンスを発揮するモデルが存在する場合があります +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSetLastLayer/ja.md) + --- **Source fingerprint (SHA-256):** `82f3e7fb1d4c0bdd2b242a449085a5497ba8af8616d1800c5c0ee7a85ab42c15` diff --git a/ja/built-in-nodes/ClipTextEncode.mdx b/ja/built-in-nodes/ClipTextEncode.mdx index 95e11103d..265f9fb4f 100755 --- a/ja/built-in-nodes/ClipTextEncode.mdx +++ b/ja/built-in-nodes/ClipTextEncode.mdx @@ -5,24 +5,22 @@ sidebarTitle: "CLIPTextEncode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncode/ja.md) - `CLIP Text Encode (CLIPTextEncode)` は翻訳者の役割を果たし、テキストによる説明をAIが理解できる形式に変換します。これにより、AIがあなたの入力を解釈し、希望する画像を生成できるようになります。 これは、異なる言語を話すアーティストとコミュニケーションをとるようなものだと考えてください。膨大な画像とテキストのペアで学習されたCLIPモデルが、あなたの説明をAIモデルが従うことのできる「指示」に変換することで、このギャップを埋めます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `テキスト` | STRING | はい | 任意のテキスト | エンコードするテキストです。複数行の入力と動的プロンプトをサポートします。 | -| `クリップ` | CLIP | はい | 読み込まれたCLIPモデル | テキストのエンコードに使用するCLIPモデルです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `テキスト` | エンコードするテキストです。複数行の入力と動的プロンプトをサポートします。 | STRING | はい | 任意のテキスト | +| `クリップ` | テキストのエンコードに使用するCLIPモデルです。 | CLIP | はい | 読み込まれたCLIPモデル | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 拡散モデルをガイドするために使用される、埋め込まれたテキストを含むコンディショニングです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 拡散モデルをガイドするために使用される、埋め込まれたテキストを含むコンディショニングです。 | CONDITIONING | ## プロンプト機能 @@ -59,5 +57,8 @@ worst quality, embedding:EasyNegative, bad quality 動的行動をトリガーせずにプロンプトにリテラルの中括弧を含めたい場合は、バックスラッシュでエスケープできます。例：`\{word\}`。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncode/ja.md) + +--- **Source fingerprint (SHA-256):** `e8f286cdec879c529270e110ccf5959ed6df77737cfb5a8019379afac9266118` diff --git a/ja/built-in-nodes/ClipTextEncodeFlux.mdx b/ja/built-in-nodes/ClipTextEncodeFlux.mdx index 046f500d9..79e2e7ae5 100644 --- a/ja/built-in-nodes/ClipTextEncodeFlux.mdx +++ b/ja/built-in-nodes/ClipTextEncodeFlux.mdx @@ -5,24 +5,24 @@ sidebarTitle: "CLIPTextEncodeFlux" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeFlux/ja.md) - `CLIPTextEncodeFlux` は、Flux アーキテクチャ向けに設計された高度なテキストエンコードノードです。CLIP-L と T5XXL という異なるエンコーダーを通じて、2 つの個別のテキスト入力を処理し、それらをガイダンススケールと組み合わせて、画像生成のための統一された条件付け出力を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `クリップ` | CLIP | はい | - | CLIP-L と T5XXL の両方のエンコーダーを含む、Flux アーキテクチャをサポートする CLIP モデルです。 | -| `クリップ_l` | STRING | はい | - | CLIP-L エンコーダーによって処理されるテキスト入力です。スタイルやテーマなど、簡潔なキーワードによる説明に適しています。複数行の入力と動的なプロンプトをサポートします。 | -| `t5xxl` | STRING | はい | - | T5XXL エンコーダーによって処理されるテキスト入力です。複雑なシーンや詳細を表現する、詳細な自然言語による説明に適しています。複数行の入力と動的なプロンプトをサポートします。 | -| `ガイダンス` | FLOAT | はい | 0.0 - 100.0 | 生成プロセスにおけるテキスト条件の影響力を制御します。値が大きいほど、テキストへの厳密な追従を意味します。デフォルト: 3.5。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `クリップ` | CLIP-L と T5XXL の両方のエンコーダーを含む、Flux アーキテクチャをサポートする CLIP モデルです。 | CLIP | はい | - | +| `クリップ_l` | CLIP-L エンコーダーによって処理されるテキスト入力です。スタイルやテーマなど、簡潔なキーワードによる説明に適しています。複数行の入力と動的なプロンプトをサポートします。 | STRING | はい | - | +| `t5xxl` | T5XXL エンコーダーによって処理されるテキスト入力です。複雑なシーンや詳細を表現する、詳細な自然言語による説明に適しています。複数行の入力と動的なプロンプトをサポートします。 | STRING | はい | - | +| `ガイダンス` | 生成プロセスにおけるテキスト条件の影響力を制御します。値が大きいほど、テキストへの厳密な追従を意味します。デフォルト: 3.5。 | FLOAT | はい | 0.0 - 100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 両方のエンコーダーからの融合された埋め込みとガイダンスパラメータを含み、条件付き画像生成に使用されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 両方のエンコーダーからの融合された埋め込みとガイダンスパラメータを含み、条件付き画像生成に使用されます。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeFlux/ja.md) --- **Source fingerprint (SHA-256):** `f168610123410a44f9c5c5c18773603bd47bc7b44b21e65910a6026f86d7eb04` diff --git a/ja/built-in-nodes/ClipTextEncodeHunyuanDit.mdx b/ja/built-in-nodes/ClipTextEncodeHunyuanDit.mdx index 2eddd547b..bea866f7f 100644 --- a/ja/built-in-nodes/ClipTextEncodeHunyuanDit.mdx +++ b/ja/built-in-nodes/ClipTextEncodeHunyuanDit.mdx @@ -5,23 +5,23 @@ sidebarTitle: "CLIPTextEncodeHunyuanDiT" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHunyuanDiT/ja.md) - `CLIPTextEncodeHunyuanDiT` ノードは、テキストによる説明を HunyuanDiT モデルが理解できる形式に変換します。これは、HunyuanDiT のデュアルテキストエンコーダーアーキテクチャ向けに設計された高度なコンディショニングノードであり、異なるトークナイザーを通じて2つの別々のテキスト入力を処理します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `クリップ` | CLIP | はい | - | テキストのトークン化とエンコードに使用されるCLIPモデルインスタンスです。コンディション生成の中核となります。 | -| `bert` | STRING | はい | - | BERTトークナイザーでエンコードするためのテキスト入力です。フレーズやキーワードに適しています。複数行や動的プロンプトに対応しています。 | -| `mt5xl` | STRING | はい | - | mT5-XLトークナイザーでエンコードするためのテキスト入力です。複数行や動的プロンプト（多言語）に対応しています。完全な文章や複雑な記述を使用できます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `クリップ` | テキストのトークン化とエンコードに使用されるCLIPモデルインスタンスです。コンディション生成の中核となります。 | CLIP | はい | - | +| `bert` | BERTトークナイザーでエンコードするためのテキスト入力です。フレーズやキーワードに適しています。複数行や動的プロンプトに対応しています。 | STRING | はい | - | +| `mt5xl` | mT5-XLトークナイザーでエンコードするためのテキスト入力です。複数行や動的プロンプト（多言語）に対応しています。完全な文章や複雑な記述を使用できます。 | STRING | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | BERTとmT5-XLの両方でトークン化されたテキストを組み合わせた、エンコード済みのコンディショニング出力です。生成タスクにおけるさらなる処理に使用されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | BERTとmT5-XLの両方でトークン化されたテキストを組み合わせた、エンコード済みのコンディショニング出力です。生成タスクにおけるさらなる処理に使用されます。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHunyuanDiT/ja.md) --- **Source fingerprint (SHA-256):** `6a8d649708b315c42b7933b52fad7e0b45aa34c168616f18a2178041148eeea1` diff --git a/ja/built-in-nodes/ClipTextEncodeSdxl.mdx b/ja/built-in-nodes/ClipTextEncodeSdxl.mdx index de296056a..8f34ba57b 100755 --- a/ja/built-in-nodes/ClipTextEncodeSdxl.mdx +++ b/ja/built-in-nodes/ClipTextEncodeSdxl.mdx @@ -5,26 +5,26 @@ sidebarTitle: "CLIPTextEncodeSDXL" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSDXL/ja.md) - このノードは、SDXLアーキテクチャ用に特別にカスタマイズされたCLIPモデルを使用して、テキスト入力をエンコードするように設計されています。デュアルエンコーダーシステム（CLIP-LおよびCLIP-G）を使用してテキスト記述を処理し、より正確な画像生成を実現します。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-----------|-------------| -| `クリップ` | CLIP | テキストエンコードに使用されるCLIPモデルインスタンスです。 | -| `幅` | INT | 画像の幅をピクセル単位で指定します。デフォルトは1024です。 | -| `高さ` | INT | 画像の高さをピクセル単位で指定します。デフォルトは1024です。 | -| `crop_w` | INT | クロップ領域の幅をピクセル単位で指定します。デフォルトは0です。 | -| `crop_h` | INT | クロップ領域の高さをピクセル単位で指定します。デフォルトは0です。 | -| `目標の幅` | INT | 出力画像のターゲット幅です。デフォルトは1024です。 | -| `目標の高さ` | INT | 出力画像のターゲット高さです。デフォルトは1024です。 | -| `テキスト_g` | STRING | シーン全体の説明のためのグローバルテキスト記述です。 | -| `テキスト_l` | STRING | 詳細説明のためのローカルテキスト記述です。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `クリップ` | テキストエンコードに使用されるCLIPモデルインスタンスです。 | CLIP | +| `幅` | 画像の幅をピクセル単位で指定します。デフォルトは1024です。 | INT | +| `高さ` | 画像の高さをピクセル単位で指定します。デフォルトは1024です。 | INT | +| `crop_w` | クロップ領域の幅をピクセル単位で指定します。デフォルトは0です。 | INT | +| `crop_h` | クロップ領域の高さをピクセル単位で指定します。デフォルトは0です。 | INT | +| `目標の幅` | 出力画像のターゲット幅です。デフォルトは1024です。 | INT | +| `目標の高さ` | 出力画像のターゲット高さです。デフォルトは1024です。 | INT | +| `テキスト_g` | シーン全体の説明のためのグローバルテキスト記述です。 | STRING | +| `テキスト_l` | 詳細説明のためのローカルテキスト記述です。 | STRING | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 画像生成に必要なエンコードされたテキストと条件情報を含みます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 画像生成に必要なエンコードされたテキストと条件情報を含みます。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSDXL/ja.md) diff --git a/ja/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx b/ja/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx index 7dadbd3cb..b266f499c 100755 --- a/ja/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx +++ b/ja/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx @@ -5,8 +5,6 @@ sidebarTitle: "CLIPTextEncodeSDXLRefiner" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSDXLRefiner/ja.md) - このノードは、SDXL Refinerモデル用に特別に設計されており、美的スコアと次元情報を組み込むことで、テキストプロンプトをコンディショニング情報に変換し、生成タスクの条件を強化して、最終的なリファイン効果を向上させます。これはプロのアートディレクターのように機能し、あなたの創造的な意図を伝えるだけでなく、作品に正確な美的基準と仕様要件を注入します。 ## SDXL Refinerについて @@ -24,19 +22,19 @@ Refinerは2つの方法で使用できます： ## 入力 -| パラメータ名 | データ型 | 入力タイプ | デフォルト値 | 値の範囲 | 説明 | -|-------------|----------|------------|-------------|----------|------| -| `クリップ` | CLIP | 必須 | - | - | テキストのトークン化とエンコードに使用されるCLIPモデルインスタンス。テキストをモデルが理解できる形式に変換するためのコアコンポーネントです | -| `ascore` | FLOAT | オプション | 6.0 | 0.0-1000.0 | 生成画像の視覚品質と美しさを制御します。アートワークの品質基準を設定するようなものです：
- 高スコア(7.5-8.5)：より洗練され、詳細に富んだ効果を追求
- 中スコア(6.0-7.0)：バランスの取れた品質管理
- 低スコア(2.0-3.0)：ネガティブプロンプトに適しています | -| `幅` | INT | 必須 | 1024 | 64-16384 | 出力画像の幅（ピクセル）を指定します。8の倍数である必要があります。SDXLは、総ピクセル数が1024×1024（約100万ピクセル）に近い場合に最適に動作します | -| `高さ` | INT | 必須 | 1024 | 64-16384 | 出力画像の高さ（ピクセル）を指定します。8の倍数である必要があります。SDXLは、総ピクセル数が1024×1024（約100万ピクセル）に近い場合に最適に動作します | -| `テキスト` | STRING | 必須 | - | - | テキストプロンプトの説明。複数行入力と動的プロンプト構文をサポートします。Refinerでは、テキストプロンプトは、望ましい視覚品質と詳細特性の説明に重点を置く必要があります | +| パラメータ名 | 説明 | データ型 | 入力タイプ | デフォルト値 | 値の範囲 | +| --- | --- | --- | --- | --- | --- | +| `クリップ` | テキストのトークン化とエンコードに使用されるCLIPモデルインスタンス。テキストをモデルが理解できる形式に変換するためのコアコンポーネントです | CLIP | 必須 | - | - | +| `ascore` | 生成画像の視覚品質と美しさを制御します。アートワークの品質基準を設定するようなものです：
- 高スコア(7.5-8.5)：より洗練され、詳細に富んだ効果を追求
- 中スコア(6.0-7.0)：バランスの取れた品質管理
- 低スコア(2.0-3.0)：ネガティブプロンプトに適しています | FLOAT | オプション | 6.0 | 0.0-1000.0 | +| `幅` | 出力画像の幅（ピクセル）を指定します。8の倍数である必要があります。SDXLは、総ピクセル数が1024×1024（約100万ピクセル）に近い場合に最適に動作します | INT | 必須 | 1024 | 64-16384 | +| `高さ` | 出力画像の高さ（ピクセル）を指定します。8の倍数である必要があります。SDXLは、総ピクセル数が1024×1024（約100万ピクセル）に近い場合に最適に動作します | INT | 必須 | 1024 | 64-16384 | +| `テキスト` | テキストプロンプトの説明。複数行入力と動的プロンプト構文をサポートします。Refinerでは、テキストプロンプトは、望ましい視覚品質と詳細特性の説明に重点を置く必要があります | STRING | 必須 | - | - | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `CONDITIONING` | CONDITIONING | テキストのセマンティクス、美的基準、次元情報の統合エンコードを含む、リファインされた条件付き出力。SDXL Refinerモデルを正確な画像リファインに導くために特別に使用されます | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | テキストのセマンティクス、美的基準、次元情報の統合エンコードを含む、リファインされた条件付き出力。SDXL Refinerモデルを正確な画像リファインに導くために特別に使用されます | CONDITIONING | ## 注意事項 @@ -44,4 +42,6 @@ Refinerは2つの方法で使用できます： 2. 美的スコアは7.5をベースラインとして推奨します。これはSDXLトレーニングで使用される標準設定です 3. すべての次元パラメータは8の倍数である必要があり、総ピクセル数は1024×1024（約100万ピクセル）に近い値を推奨します 4. Refinerモデルは画像の詳細と品質の向上に焦点を当てているため、テキストプロンプトはシーンコンテンツではなく、望ましい視覚効果を強調する必要があります -5. 実際の使用では、Refinerは通常、生成の後期段階（おおよそ最後の20%のステップ）で使用され、詳細の最適化に重点を置きます \ No newline at end of file +5. 実際の使用では、Refinerは通常、生成の後期段階（おおよそ最後の20%のステップ）で使用され、詳細の最適化に重点を置きます + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSDXLRefiner/ja.md) diff --git a/ja/built-in-nodes/ClipVisionEncode.mdx b/ja/built-in-nodes/ClipVisionEncode.mdx index b538e8b03..5224ebd5b 100755 --- a/ja/built-in-nodes/ClipVisionEncode.mdx +++ b/ja/built-in-nodes/ClipVisionEncode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "CLIPVisionEncode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPVisionEncode/ja.md) - `CLIP Vision Encode` ノードは、ComfyUI における画像エンコードノードであり、CLIP Vision モデルを通じて入力画像を視覚特徴ベクトルに変換します。このノードは、画像とテキストの理解を結びつける重要なブリッジであり、様々なAI画像生成・処理ワークフローで広く使用されています。 **ノード機能** @@ -17,21 +15,23 @@ mode: wide ## 入力 -| パラメータ名 | データ型 | 説明 | -| -------------- | ----------- | --------------------------------------------------------------- | -| `クリップビジョン` | CLIP_VISION | CLIP Visionモデル。通常はCLIPVisionLoaderノードを介して読み込まれます | -| `画像` | IMAGE | エンコードする入力画像 | -| `クロップ` | ドロップダウン | 画像のクロップ方法。オプション：center（中央クロップ）、none（クロップなし） | +| パラメータ名 | 説明 | データ型 | +| --- | --- | --- | +| `クリップビジョン` | CLIP Visionモデル。通常はCLIPVisionLoaderノードを介して読み込まれます | CLIP_VISION | +| `画像` | エンコードする入力画像 | IMAGE | +| `クロップ` | 画像のクロップ方法。オプション：center（中央クロップ）、none（クロップなし） | ドロップダウン | ## 出力 -| 出力名 | データ型 | 説明 | -| ------------------- | ------------------ | -------------------------- | -| CLIP_VISION_OUTPUT | CLIP_VISION_OUTPUT | エンコードされた視覚特徴 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| CLIP_VISION_OUTPUT | エンコードされた視覚特徴 | CLIP_VISION_OUTPUT | この出力オブジェクトには以下が含まれます： - `last_hidden_state`：最後の隠れ状態 - `image_embeds`：画像埋め込みベクトル - `penultimate_hidden_states`：最後から2番目の隠れ状態 -- `mm_projected`：マルチモーダル投影結果（利用可能な場合） \ No newline at end of file +- `mm_projected`：マルチモーダル投影結果（利用可能な場合） + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPVisionEncode/ja.md) diff --git a/ja/built-in-nodes/ClipVisionLoader.mdx b/ja/built-in-nodes/ClipVisionLoader.mdx index 97912aadd..96dca1b81 100755 --- a/ja/built-in-nodes/ClipVisionLoader.mdx +++ b/ja/built-in-nodes/ClipVisionLoader.mdx @@ -5,18 +5,18 @@ sidebarTitle: "CLIPVisionLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPVisionLoader/ja.md) - このノードは、`ComfyUI/models/clip_vision` フォルダ内に配置されたモデルと、`extra_model_paths.yaml` ファイルで設定された追加のモデルパスを自動的に検出します。ComfyUI 起動後にモデルを追加した場合は、**ComfyUI インターフェースを更新**して、最新のモデルファイルが一覧表示されるようにしてください。 ## 入力 -| フィールド | データ型 | 説明 | -|-------------|---------------|-------------| -| `クリップ名` | COMBO[STRING] | `ComfyUI/models/clip_vision` フォルダ内のサポートされているすべてのモデルファイルを一覧表示します。 | +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `クリップ名` | `ComfyUI/models/clip_vision` フォルダ内のサポートされているすべてのモデルファイルを一覧表示します。 | COMBO[STRING] | ## 出力 -| フィールド | データ型 | 説明 | -|--------------|--------------|-------------| -| `clip_vision` | CLIP_VISION | 読み込まれた CLIP Vision モデルです。画像のエンコードやその他のビジョン関連タスクに使用できます。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `clip_vision` | 読み込まれた CLIP Vision モデルです。画像のエンコードやその他のビジョン関連タスクに使用できます。 | CLIP_VISION | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPVisionLoader/ja.md) diff --git a/ja/built-in-nodes/ColorToRGBInt.mdx b/ja/built-in-nodes/ColorToRGBInt.mdx index 58b7ce783..afa31622c 100644 --- a/ja/built-in-nodes/ColorToRGBInt.mdx +++ b/ja/built-in-nodes/ColorToRGBInt.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ColorToRGBInt" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/ja.md) - ColorToRGBIntノードは、16進数形式で指定された色を単一の整数値に変換します。`#FF5733`のようなカラー文字列を受け取り、赤、緑、青の各成分を組み合わせて対応するRGB整数を計算します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `カラー` | STRING | はい | なし | `#RRGGBB`形式の16進数カラー値。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `カラー` | `#RRGGBB`形式の16進数カラー値。 | STRING | はい | なし | **注意：** 入力`color`文字列は、先頭に`#`記号、それに続く6桁の16進数（例：赤色の場合は`#FF0000`）を含む、正確に7文字である必要があります。形式が正しくない場合、ノードはエラーを発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `rgb_int` | INT | 計算されたRGB整数値。次の式から導出されます：`(赤 * 65536) + (緑 * 256) + 青` | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `rgb_int` | 計算されたRGB整数値。次の式から導出されます：`(赤 * 65536) + (緑 * 256) + 青` | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/ja.md) --- **Source fingerprint (SHA-256):** `5b8617d6b28caaa5f01dad1c6a302fa321f1bd53a0454451d468e36747e70e8f` diff --git a/ja/built-in-nodes/ColorTransfer.mdx b/ja/built-in-nodes/ColorTransfer.mdx index c43ac30a5..b0393149f 100644 --- a/ja/built-in-nodes/ColorTransfer.mdx +++ b/ja/built-in-nodes/ColorTransfer.mdx @@ -5,21 +5,19 @@ sidebarTitle: "ColorTransfer" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorTransfer/ja.md) - ## 概要 ColorTransferノードは、ターゲット画像のカラーパレットを調整し、参照画像の色に合わせます。輝度、コントラスト、色相分布などの色特性を、参照画像からターゲット画像へ分析・転送するために、異なる数学的アルゴリズムを使用します。これは、複数の画像間で視覚的な一貫性を生み出したり、特定のカラーグレードを適用する際に有用です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image_target` | IMAGE | はい | - | カラー変換を適用する画像 | -| `image_ref` | IMAGE | はい | - | 色を合わせるための参照画像 | -| `method` | COMBO | はい | `"reinhard_lab"`
`"mkl_lab"`
`"histogram"` | 使用するカラー転送アルゴリズム | -| `source_stats` | DYNAMICCOMBO | はい | `"per_frame"`
`"uniform"`
`"target_frame"` | ソース（ターゲット）画像から色統計を計算する方法を指定します | -| `strength` | FLOAT | はい | 0.0 ～ 10.0 | カラー転送効果の強度。1.0で完全な変換を適用し、0.0で元の画像を返します。デフォルト：1.0 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image_target` | カラー変換を適用する画像 | IMAGE | はい | - | +| `image_ref` | 色を合わせるための参照画像 | IMAGE | はい | - | +| `method` | 使用するカラー転送アルゴリズム | COMBO | はい | `"reinhard_lab"`
`"mkl_lab"`
`"histogram"` | +| `source_stats` | ソース（ターゲット）画像から色統計を計算する方法を指定します | DYNAMICCOMBO | はい | `"per_frame"`
`"uniform"`
`"target_frame"` | +| `strength` | カラー転送効果の強度。1.0で完全な変換を適用し、0.0で元の画像を返します。デフォルト：1.0 | FLOAT | はい | 0.0 ～ 10.0 | **パラメータの詳細：** * **`source_stats` のオプション：** @@ -35,9 +33,11 @@ ColorTransferノードは、ターゲット画像のカラーパレットを調 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | カラー転送が適用された結果の画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | カラー転送が適用された結果の画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorTransfer/ja.md) --- **Source fingerprint (SHA-256):** `93a8447def4d2263a8a859c0474de694e6567dc6d32377032c2ddae2420bb10c` diff --git a/ja/built-in-nodes/CombineHooks.mdx b/ja/built-in-nodes/CombineHooks.mdx index 6b5184a93..abe458e53 100644 --- a/ja/built-in-nodes/CombineHooks.mdx +++ b/ja/built-in-nodes/CombineHooks.mdx @@ -5,8 +5,6 @@ sidebarTitle: "CombineHooks" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooks/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 --- @@ -15,18 +13,20 @@ Combine Hooks [2] ノードは、2つのフックグループを1つの結合さ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `hooks_A` | HOOKS | いいえ | - | 結合する最初のフックグループ | -| `hooks_B` | HOOKS | いいえ | - | 結合する2番目のフックグループ | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `hooks_A` | 結合する最初のフックグループ | HOOKS | いいえ | - | +| `hooks_B` | 結合する2番目のフックグループ | HOOKS | いいえ | - | **注記：** 両方の入力はオプションですが、ノードが機能するには少なくとも1つのフックグループが提供されている必要があります。1つのフックグループのみが提供された場合、そのグループは変更されずに返されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `hooks` | HOOKS | 両方の入力グループのすべてのフックを含む結合されたフックグループ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `hooks` | 両方の入力グループのすべてのフックを含む結合されたフックグループ | HOOKS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooks/ja.md) --- **Source fingerprint (SHA-256):** `558ceef1cebedd0b7e045b7d1eb1afa4316ea6a3c35f982968af132dca164126` diff --git a/ja/built-in-nodes/CombineHooksEight.mdx b/ja/built-in-nodes/CombineHooksEight.mdx index 55ff198fc..65845d366 100644 --- a/ja/built-in-nodes/CombineHooksEight.mdx +++ b/ja/built-in-nodes/CombineHooksEight.mdx @@ -5,32 +5,32 @@ sidebarTitle: "CombineHooksEight" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksEight/ja.md) - 以下が翻訳結果です。 Combine Hooks [8] ノードは、最大8つの異なるフックグループを1つの結合されたフックグループに統合します。複数のフック入力を受け取り、ComfyUIのフック結合機能を使用してそれらを組み合わせます。これにより、複数のフック設定を統合し、高度なワークフローで処理を効率化できます。 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `hooks_A` | HOOKS | オプション | None | - | 結合する1つ目のフックグループ | -| `hooks_B` | HOOKS | オプション | None | - | 結合する2つ目のフックグループ | -| `hooks_C` | HOOKS | オプション | None | - | 結合する3つ目のフックグループ | -| `hooks_D` | HOOKS | オプション | None | - | 結合する4つ目のフックグループ | -| `hooks_E` | HOOKS | オプション | None | - | 結合する5つ目のフックグループ | -| `hooks_F` | HOOKS | オプション | None | - | 結合する6つ目のフックグループ | -| `hooks_G` | HOOKS | オプション | None | - | 結合する7つ目のフックグループ | -| `hooks_H` | HOOKS | オプション | None | - | 結合する8つ目のフックグループ | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `hooks_A` | 結合する1つ目のフックグループ | HOOKS | オプション | None | - | +| `hooks_B` | 結合する2つ目のフックグループ | HOOKS | オプション | None | - | +| `hooks_C` | 結合する3つ目のフックグループ | HOOKS | オプション | None | - | +| `hooks_D` | 結合する4つ目のフックグループ | HOOKS | オプション | None | - | +| `hooks_E` | 結合する5つ目のフックグループ | HOOKS | オプション | None | - | +| `hooks_F` | 結合する6つ目のフックグループ | HOOKS | オプション | None | - | +| `hooks_G` | 結合する7つ目のフックグループ | HOOKS | オプション | None | - | +| `hooks_H` | 結合する8つ目のフックグループ | HOOKS | オプション | None | - | **注記：** すべての入力パラメータはオプションです。このノードは、提供されたフックグループのみを結合し、空のままのものは無視します。1つから8つまでの任意の数のフックグループを指定して結合できます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `HOOKS` | HOOKS | 提供されたすべてのフック設定を含む、単一の結合されたフックグループ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `HOOKS` | 提供されたすべてのフック設定を含む、単一の結合されたフックグループ | HOOKS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksEight/ja.md) --- **Source fingerprint (SHA-256):** `8cd13ec6710a9b2905c14301cfd15be616c00f1b4140451cdf0915f091c77197` diff --git a/ja/built-in-nodes/CombineHooksFour.mdx b/ja/built-in-nodes/CombineHooksFour.mdx index e006e3075..abee75415 100644 --- a/ja/built-in-nodes/CombineHooksFour.mdx +++ b/ja/built-in-nodes/CombineHooksFour.mdx @@ -5,28 +5,28 @@ sidebarTitle: "CombineHooksFour" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksFour/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksFour/en.md) **Combine Hooks [4]** ノードは、最大4つの個別のフックグループを1つの結合されたフックグループに統合します。4つの利用可能なフック入力の任意の組み合わせを受け取り、ComfyUIのフック結合システムを使用してそれらを結合します。これにより、高度なワークフローにおいて、複数のフック設定を統合して処理を効率化できます。 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `hooks_A` | HOOKS | オプション | None | - | 結合する1つ目のフックグループ | -| `hooks_B` | HOOKS | オプション | None | - | 結合する2つ目のフックグループ | -| `hooks_C` | HOOKS | オプション | None | - | 結合する3つ目のフックグループ | -| `hooks_D` | HOOKS | オプション | None | - | 結合する4つ目のフックグループ | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `hooks_A` | 結合する1つ目のフックグループ | HOOKS | オプション | None | - | +| `hooks_B` | 結合する2つ目のフックグループ | HOOKS | オプション | None | - | +| `hooks_C` | 結合する3つ目のフックグループ | HOOKS | オプション | None | - | +| `hooks_D` | 結合する4つ目のフックグループ | HOOKS | オプション | None | - | **注記：** 4つのフック入力はすべてオプションです。このノードは、提供されたフックグループのみを結合し、入力が接続されていない場合は空のフックグループを返します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `HOOKS` | HOOKS | 提供されたすべてのフック設定を含む結合されたフックグループ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `HOOKS` | 提供されたすべてのフック設定を含む結合されたフックグループ | HOOKS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksFour/ja.md) --- **Source fingerprint (SHA-256):** `92a8038e7b5a7491afcbd48830a1e278fe4d697321fb874821ebf7edd09d5815` diff --git a/ja/built-in-nodes/ComboOptionTestNode.mdx b/ja/built-in-nodes/ComboOptionTestNode.mdx index 478198dc1..5fc383bc7 100644 --- a/ja/built-in-nodes/ComboOptionTestNode.mdx +++ b/ja/built-in-nodes/ComboOptionTestNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ComboOptionTestNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComboOptionTestNode/ja.md) - 以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。 --- @@ -15,17 +13,19 @@ ComboOptionTestNode は、コンボボックスの選択内容をテストし、 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `combo` | COMBO | はい | `"option1"`
`"option2"`
`"option3"` | 3つのテストオプションから最初の選択を行います。 | -| `combo2` | COMBO | はい | `"option4"`
`"option5"`
`"option6"` | 別の3つのテストオプションから2番目の選択を行います。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `combo` | 3つのテストオプションから最初の選択を行います。 | COMBO | はい | `"option1"`
`"option2"`
`"option3"` | +| `combo2` | 別の3つのテストオプションから2番目の選択を行います。 | COMBO | はい | `"option4"`
`"option5"`
`"option6"` | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `output_1` | COMBO | 最初のコンボボックス（`combo`）で選択された値を出力します。 | -| `output_2` | COMBO | 2番目のコンボボックス（`combo2`）で選択された値を出力します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output_1` | 最初のコンボボックス（`combo`）で選択された値を出力します。 | COMBO | +| `output_2` | 2番目のコンボボックス（`combo2`）で選択された値を出力します。 | COMBO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComboOptionTestNode/ja.md) --- **Source fingerprint (SHA-256):** `2f5a73eb7c2962a983b12688159e52d4d05f569d67909f536956ab18a6cc87d7` diff --git a/ja/built-in-nodes/ComfyAndNode.mdx b/ja/built-in-nodes/ComfyAndNode.mdx index 1eb9b8e66..9b4ac1cd2 100644 --- a/ja/built-in-nodes/ComfyAndNode.mdx +++ b/ja/built-in-nodes/ComfyAndNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ComfyAndNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/ja.md) - ## 概要 Andノードは、一連の入力値に対して論理AND演算を実行します。提供されたすべての値がPythonの真偽値ルールに従って真とみなされる場合にのみ、`true`を返します。このノードは、複数の条件がすべて満たされていることを確認してから処理を進める場合に便利です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `values` | ANY | はい | 1つ以上の値 | 評価する値のリストです。ノードは少なくとも1つの値を受け付け、ノード上の「+」ボタンをクリックすることでさらに値を追加できます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `values` | 評価する値のリストです。ノードは少なくとも1つの値を受け付け、ノード上の「+」ボタンをクリックすることでさらに値を追加できます。 | ANY | はい | 1つ以上の値 | **注意：** ノードはPythonの真偽値ルールを使用して、値が`true`か`false`かを判断します。例えば、空の文字列、数値の0、空のリスト、`None`はすべて`false`とみなされます。これら以外の値はすべて`true`とみなされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `BOOLEAN` | BOOLEAN | すべての入力値が真の場合に`true`を返し、それ以外の場合は`false`を返します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `BOOLEAN` | すべての入力値が真の場合に`true`を返し、それ以外の場合は`false`を返します。 | BOOLEAN | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/ja.md) --- **Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4` diff --git a/ja/built-in-nodes/ComfyMathExpression.mdx b/ja/built-in-nodes/ComfyMathExpression.mdx index cb9dbd9e0..1813ead26 100644 --- a/ja/built-in-nodes/ComfyMathExpression.mdx +++ b/ja/built-in-nodes/ComfyMathExpression.mdx @@ -5,16 +5,14 @@ sidebarTitle: "ComfyMathExpression" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyMathExpression/ja.md) - ComfyMathExpression ノードは、一連の入力値を使用して数式を評価します。`a`、`b`、`c` のような変数名を使用して式を記述すると、ノードが結果を計算します。計算に必要な数だけ入力値を動的に追加することができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `式` | STRING | はい | N/A | 評価する数式です。入力値に対応する変数名を使用できます（デフォルト："a + b"）。 | -| `値` | FLOAT, INT, BOOLEAN | いいえ | N/A | 動的に追加できる数値またはブール値の入力セットです。各入力にはアルファベット（a、b、c...）が割り当てられ、式内で変数として使用されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `式` | 評価する数式です。入力値に対応する変数名を使用できます（デフォルト："a + b"）。 | STRING | はい | N/A | +| `値` | 動的に追加できる数値またはブール値の入力セットです。各入力にはアルファベット（a、b、c...）が割り当てられ、式内で変数として使用されます。 | FLOAT, INT, BOOLEAN | いいえ | N/A | **パラメータ制約：** * `expression` パラメータは空にしたり、空白のみにすることはできません。 @@ -23,11 +21,13 @@ ComfyMathExpression ノードは、一連の入力値を使用して数式を評 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `FLOAT` | FLOAT | 数式の結果を浮動小数点数として出力します。 | -| `BOOL` | INT | 数式の結果を整数として出力します。 | -| `BOOL` | BOOLEAN | 数式の結果をブール値として出力します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `FLOAT` | 数式の結果を浮動小数点数として出力します。 | FLOAT | +| `BOOL` | 数式の結果を整数として出力します。 | INT | +| `BOOL` | 数式の結果をブール値として出力します。 | BOOLEAN | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyMathExpression/ja.md) --- **Source fingerprint (SHA-256):** `962f82684d9dc58a67a57e6738d6d2ed457d7f30288cedb21fd46b5c655c1708` diff --git a/ja/built-in-nodes/ComfyNotNode.mdx b/ja/built-in-nodes/ComfyNotNode.mdx index bc1c5cfa8..8ca5e6459 100644 --- a/ja/built-in-nodes/ComfyNotNode.mdx +++ b/ja/built-in-nodes/ComfyNotNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ComfyNotNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 ## 概要 @@ -15,15 +13,17 @@ Not ノードは、任意の入力値に対して論理否定（NOT）演算を ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `value` | ANY | はい | 任意の値 | 否定される入力値です。あらゆるデータ型を受け入れ、Python の真偽値ルールに基づいて評価されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `value` | 否定される入力値です。あらゆるデータ型を受け入れ、Python の真偽値ルールに基づいて評価されます。 | ANY | はい | 任意の値 | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `output` | BOOLEAN | 入力値の論理否定を返します。入力が偽の場合は True、入力が真の場合は False を返します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力値の論理否定を返します。入力が偽の場合は True、入力が真の場合は False を返します。 | BOOLEAN | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/ja.md) --- **Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877` diff --git a/ja/built-in-nodes/ComfyNumberConvert.mdx b/ja/built-in-nodes/ComfyNumberConvert.mdx index da1e8ab15..a9bd504f2 100644 --- a/ja/built-in-nodes/ComfyNumberConvert.mdx +++ b/ja/built-in-nodes/ComfyNumberConvert.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ComfyNumberConvert" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNumberConvert/ja.md) - 以下は、ご依頼いただいたComfyUIノードドキュメントの日本語翻訳です。 --- @@ -15,18 +13,20 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|-------------| -| `値` | INT, FLOAT, STRING, BOOLEAN | はい | なし | 数値出力に変換する値。整数、浮動小数点数、テキスト文字列、または真偽値（true/false）を受け付けます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `値` | 数値出力に変換する値。整数、浮動小数点数、テキスト文字列、または真偽値（true/false）を受け付けます。 | INT, FLOAT, STRING, BOOLEAN | はい | なし | **注意：** 入力が文字列の場合、空であってはならず、数値を正しく表す有効な文字列（例：`"123"`、`"3.14"`）である必要があります。空の文字列、数値として解析できないテキスト、または有限でない値（`"inf"`や`"nan"`など）が入力された場合、ノードはエラーを発生させます。ブール値入力の場合、`true`は1.0（FLOAT）および1（INT）に変換され、`false`は0.0（FLOAT）および0（INT）に変換されます。浮動小数点数入力の場合、整数出力は小数部分を切り捨てることで得られます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `FLOAT` | FLOAT | 入力値を浮動小数点数に変換したもの。 | -| `INT` | INT | 入力値を整数に変換したもの。浮動小数点数の入力の場合、切り捨てが行われます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `FLOAT` | 入力値を浮動小数点数に変換したもの。 | FLOAT | +| `INT` | 入力値を整数に変換したもの。浮動小数点数の入力の場合、切り捨てが行われます。 | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNumberConvert/ja.md) --- **Source fingerprint (SHA-256):** `961fbea05b22c68f768f9ecaae2ee455b1913afe4a65d8c0e6b6497b1e24ce72` diff --git a/ja/built-in-nodes/ComfyOrNode.mdx b/ja/built-in-nodes/ComfyOrNode.mdx index 733e83391..bb983d3cf 100644 --- a/ja/built-in-nodes/ComfyOrNode.mdx +++ b/ja/built-in-nodes/ComfyOrNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ComfyOrNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/ja.md) - # ComfyOrNode ComfyOrNodeは、一連の入力値に対して論理OR演算を実行します。提供された値のいずれかが、Pythonの標準的な真偽値ルールに従って真とみなされる場合、`true`を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|-------------| -| `value` | ANY | はい | 複数の値を受け付けます | 真偽値を評価する値です。入力を追加することで複数の値を指定できます。これらの値のいずれかが真の場合、ノードは`true`を返します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `value` | 真偽値を評価する値です。入力を追加することで複数の値を指定できます。これらの値のいずれかが真の場合、ノードは`true`を返します。 | ANY | はい | 複数の値を受け付けます | **注記：** このノードは最低1つの入力値を受け付けます。自動拡張機能を使用して、必要に応じて入力を追加できます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `BOOLEAN` | BOOLEAN | 入力値のいずれかが真の場合は`true`を返します。すべての入力値が偽の場合は`false`を返します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `BOOLEAN` | 入力値のいずれかが真の場合は`true`を返します。すべての入力値が偽の場合は`false`を返します。 | BOOLEAN | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/ja.md) --- **Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1` diff --git a/ja/built-in-nodes/ComfySoftSwitchNode.mdx b/ja/built-in-nodes/ComfySoftSwitchNode.mdx index e2e609e8b..9f6e3bc05 100644 --- a/ja/built-in-nodes/ComfySoftSwitchNode.mdx +++ b/ja/built-in-nodes/ComfySoftSwitchNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "ComfySoftSwitchNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySoftSwitchNode/ja.md) - ## 概要 Soft Switch ノードは、ブール条件に基づいて2つの入力値のいずれかを選択します。`switch` が true の場合は `on_true` 入力の値を出力し、`switch` が false の場合は `on_false` 入力の値を出力します。このノードは遅延評価方式で設計されており、スイッチの状態に応じて必要な入力のみを評価します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `switch` | BOOLEAN | はい | | どの入力を通過させるかを決定するブール条件です。true の場合は `on_true` 入力が選択され、false の場合は `on_false` 入力が選択されます。 | -| `on_false` | MATCH_TYPE | いいえ | | `switch` 条件が false の場合に出力される値です。この入力はオプションですが、`on_false` または `on_true` の少なくとも一方を接続する必要があります。 | -| `on_true` | MATCH_TYPE | いいえ | | `switch` 条件が true の場合に出力される値です。この入力はオプションですが、`on_false` または `on_true` の少なくとも一方を接続する必要があります。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `switch` | どの入力を通過させるかを決定するブール条件です。true の場合は `on_true` 入力が選択され、false の場合は `on_false` 入力が選択されます。 | BOOLEAN | はい | | +| `on_false` | `switch` 条件が false の場合に出力される値です。この入力はオプションですが、`on_false` または `on_true` の少なくとも一方を接続する必要があります。 | MATCH_TYPE | いいえ | | +| `on_true` | `switch` 条件が true の場合に出力される値です。この入力はオプションですが、`on_false` または `on_true` の少なくとも一方を接続する必要があります。 | MATCH_TYPE | いいえ | | **注記:** `on_false` と `on_true` の入力は、ノードの内部テンプレートで定義されている同じデータ型である必要があります。ノードが機能するためには、これらの2つの入力のうち少なくとも一方が接続されている必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | MATCH_TYPE | 選択された値です。接続された `on_false` または `on_true` 入力のデータ型と一致します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 選択された値です。接続された `on_false` または `on_true` 入力のデータ型と一致します。 | MATCH_TYPE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySoftSwitchNode/ja.md) --- **Source fingerprint (SHA-256):** `f5e40e7f43948b81b5442c885c3e1ff15e38f8f7ddda00ef3be42225765bfd1c` diff --git a/ja/built-in-nodes/ComfySwitchNode.mdx b/ja/built-in-nodes/ComfySwitchNode.mdx index 5f4b19139..2cb5b392b 100644 --- a/ja/built-in-nodes/ComfySwitchNode.mdx +++ b/ja/built-in-nodes/ComfySwitchNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ComfySwitchNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySwitchNode/ja.md) - Switchノードは、ブール条件に基づいて2つの入力のうち1つを選択します。`switch`が有効（true）の場合は`on_true`入力を出力し、`switch`が無効（false）の場合は`on_false`入力を出力します。これにより、ワークフロー内で条件付きロジックを作成し、異なるデータパスを選択することができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `スイッチ` | BOOLEAN | はい | | どの入力を通過させるかを決定するブール条件です。有効（true）の場合、`真の場合`入力が選択されます。無効（false）の場合、`偽の場合`入力が選択されます。 | -| `偽の場合` | MATCH_TYPE | いいえ | | `スイッチ`が無効（false）の場合に出力に渡されるデータです。この入力は`スイッチ`がfalseの場合にのみ必要です。 | -| `真の場合` | MATCH_TYPE | いいえ | | `スイッチ`が有効（true）の場合に出力に渡されるデータです。この入力は`スイッチ`がtrueの場合にのみ必要です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `スイッチ` | どの入力を通過させるかを決定するブール条件です。有効（true）の場合、`真の場合`入力が選択されます。無効（false）の場合、`偽の場合`入力が選択されます。 | BOOLEAN | はい | | +| `偽の場合` | `スイッチ`が無効（false）の場合に出力に渡されるデータです。この入力は`スイッチ`がfalseの場合にのみ必要です。 | MATCH_TYPE | いいえ | | +| `真の場合` | `スイッチ`が有効（true）の場合に出力に渡されるデータです。この入力は`スイッチ`がtrueの場合にのみ必要です。 | MATCH_TYPE | いいえ | | **入力要件に関する注意：** `on_false`と`on_true`の入力は条件付きで必須となります。ノードは`switch`がtrueの場合にのみ`on_true`入力を要求し、`switch`がfalseの場合にのみ`on_false`入力を要求します。両方の入力は同じデータ型である必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | MATCH_TYPE | 選択されたデータです。`スイッチ`がtrueの場合は`真の場合`入力の値、`スイッチ`がfalseの場合は`偽の場合`入力の値になります。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 選択されたデータです。`スイッチ`がtrueの場合は`真の場合`入力の値、`スイッチ`がfalseの場合は`偽の場合`入力の値になります。 | MATCH_TYPE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySwitchNode/ja.md) --- **Source fingerprint (SHA-256):** `9f3cf58c1a04116fa0cbe8007fe3ed90e93c4de2e65f6778761d03fb21a63af3` diff --git a/ja/built-in-nodes/ConditioningAverage.mdx b/ja/built-in-nodes/ConditioningAverage.mdx index fb67ab77f..659b412a3 100644 --- a/ja/built-in-nodes/ConditioningAverage.mdx +++ b/ja/built-in-nodes/ConditioningAverage.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ConditioningAverage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningAverage/ja.md) - `ConditioningAverage`ノードは、指定された重みに従って2つの異なる条件付け（テキストプロンプトなど）をブレンドし、その中間に位置する新しい条件付けベクトルを生成するために使用されます。`conditioning_to_strength`パラメータを調整することで、最終結果に対する各条件付けの影響を柔軟に制御できます。これは、プロンプトの補間やスタイルの融合など、高度なユースケースに特に適しています。 下図に示すように、`conditioning_to`の強度を調整することで、2つの条件付けの中間の結果を出力できます。 @@ -15,21 +13,23 @@ mode: wide ## 入力 -| パラメータ | Comfy dtype | 説明 | -|---|---|---| -| `条件付け先` | `CONDITIONING` | ターゲットの条件付けベクトルです。加重平均の主要なベースとして機能します。 | -| `条件付け元` | `CONDITIONING` | ソースの条件付けベクトルです。指定された重みに従ってターゲットにブレンドされます。 | -| `条件付け先の強度` | `FLOAT` | ターゲット条件付けの強度です。範囲は0.0～1.0、デフォルトは1.0、ステップは0.01です。 | +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `条件付け先` | ターゲットの条件付けベクトルです。加重平均の主要なベースとして機能します。 | `CONDITIONING` | +| `条件付け元` | ソースの条件付けベクトルです。指定された重みに従ってターゲットにブレンドされます。 | `CONDITIONING` | +| `条件付け先の強度` | ターゲット条件付けの強度です。範囲は0.0～1.0、デフォルトは1.0、ステップは0.01です。 | `FLOAT` | ## 出力 -| パラメータ | Comfy dtype | 説明 | -|---|---|---| -| `conditioning` | `CONDITIONING` | ブレンド後の結果の条件付けベクトルです。加重平均を反映します。 | +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `conditioning` | ブレンド後の結果の条件付けベクトルです。加重平均を反映します。 | `CONDITIONING` | ## 代表的なユースケース - **プロンプトの補間:** 2つの異なるテキストプロンプト間を滑らかに遷移させ、中間的なスタイルやセマンティクスを持つコンテンツを生成します。 - **スタイルの融合:** 異なるアートスタイルやセマンティック条件を組み合わせて、新しい効果を生み出します。 - **強度の調整:** 重みを調整することで、特定の条件付けが結果に与える影響を精密に制御します。 -- **クリエイティブな探索:** 異なるプロンプトを混合することで、多様な生成効果を探求します。 \ No newline at end of file +- **クリエイティブな探索:** 異なるプロンプトを混合することで、多様な生成効果を探求します。 + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningAverage/ja.md) diff --git a/ja/built-in-nodes/ConditioningCombine.mdx b/ja/built-in-nodes/ConditioningCombine.mdx index a12dd3e83..5e181a742 100644 --- a/ja/built-in-nodes/ConditioningCombine.mdx +++ b/ja/built-in-nodes/ConditioningCombine.mdx @@ -5,22 +5,20 @@ sidebarTitle: "ConditioningCombine" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningCombine/ja.md) - このノードは、2つの条件付け入力を1つの出力に結合し、それらの情報を効果的にマージします。2つの条件は、リストの連結を使用して結合されます。 ## 入力 -| パラメータ名 | データ型 | 説明 | -|----------------------|--------------------|-------------| -| `条件付け_1` | `CONDITIONING` | 結合される最初の条件付け入力です。結合プロセスにおいて、`条件付け_2` と同等の重要度を持ちます。 | -| `条件付け_2` | `CONDITIONING` | 結合される2番目の条件付け入力です。結合プロセスにおいて、`条件付け_1` と同等の重要度を持ちます。 | +| パラメータ名 | 説明 | データ型 | +| --- | --- | --- | +| `条件付け_1` | 結合される最初の条件付け入力です。結合プロセスにおいて、`条件付け_2` と同等の重要度を持ちます。 | `CONDITIONING` | +| `条件付け_2` | 結合される2番目の条件付け入力です。結合プロセスにおいて、`条件付け_1` と同等の重要度を持ちます。 | `CONDITIONING` | ## 出力 -| パラメータ名 | データ型 | 説明 | -|----------------------|--------------------|-------------| -| `conditioning` | `CONDITIONING` | `条件付け_1` と `条件付け_2` を結合した結果であり、マージされた情報を内包します。 | +| パラメータ名 | 説明 | データ型 | +| --- | --- | --- | +| `conditioning` | `条件付け_1` と `条件付け_2` を結合した結果であり、マージされた情報を内包します。 | `CONDITIONING` | ## 使用シナリオ @@ -34,4 +32,6 @@ mode: wide - **基本的なテキストマージ**：2つの `CLIP Text Encode` ノードの出力を、`Conditioning Combine` の2つの入力ポートに接続します。 - **複雑なプロンプトの組み合わせ**：ポジティブプロンプトとネガティブプロンプトを組み合わせたり、メインの説明とスタイルの説明を別々にエンコードしてからマージします。 -- **条件チェーンの組み合わせ**：複数の `Conditioning Combine` ノードを直列に使用して、複数の条件を段階的に組み合わせることができます。 \ No newline at end of file +- **条件チェーンの組み合わせ**：複数の `Conditioning Combine` ノードを直列に使用して、複数の条件を段階的に組み合わせることができます。 + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningCombine/ja.md) diff --git a/ja/built-in-nodes/ConditioningConcat.mdx b/ja/built-in-nodes/ConditioningConcat.mdx index 7442b7141..ea891b9a2 100644 --- a/ja/built-in-nodes/ConditioningConcat.mdx +++ b/ja/built-in-nodes/ConditioningConcat.mdx @@ -5,19 +5,19 @@ sidebarTitle: "ConditioningConcat" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningConcat/ja.md) - ConditioningConcat ノードは、コンディショニングベクトルを連結するために設計されており、具体的には `conditioning_from` ベクトルを `conditioning_to` ベクトルにマージします。この操作は、2つのソースからのコンディショニング情報を1つの統合された表現に結合する必要があるシナリオにおいて基本となる処理です。 ## 入力 -| パラメータ | Comfy dtype | 説明 | -|-----------------------|--------------------|------| -| `条件付け先` | `CONDITIONING` | `条件付け元` ベクトルが連結される、主要なコンディショニングベクトルのセットを表します。連結処理のベースとして機能します。 | -| `条件付け元` | `CONDITIONING` | `条件付け先` ベクトルに連結されるコンディショニングベクトルで構成されます。このパラメータにより、既存のセットに追加のコンディショニング情報を統合できます。 | +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `条件付け先` | `条件付け元` ベクトルが連結される、主要なコンディショニングベクトルのセットを表します。連結処理のベースとして機能します。 | `CONDITIONING` | +| `条件付け元` | `条件付け先` ベクトルに連結されるコンディショニングベクトルで構成されます。このパラメータにより、既存のセットに追加のコンディショニング情報を統合できます。 | `CONDITIONING` | ## 出力 -| パラメータ | Comfy dtype | 説明 | -|-----------------------|--------------------|------| -| `conditioning` | `CONDITIONING` | `条件付け元` ベクトルを `条件付け先` ベクトルに連結した結果として得られる、統合されたコンディショニングベクトルのセットです。 | \ No newline at end of file +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `conditioning` | `条件付け元` ベクトルを `条件付け先` ベクトルに連結した結果として得られる、統合されたコンディショニングベクトルのセットです。 | `CONDITIONING` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningConcat/ja.md) diff --git a/ja/built-in-nodes/ConditioningSetArea.mdx b/ja/built-in-nodes/ConditioningSetArea.mdx index 0e7eca690..228cce7e3 100644 --- a/ja/built-in-nodes/ConditioningSetArea.mdx +++ b/ja/built-in-nodes/ConditioningSetArea.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ConditioningSetArea" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetArea/ja.md) - このノードは、コンディショニングコンテキスト内に特定の領域を設定することで、コンディショニング情報を変更するように設計されています。これにより、コンディショニング要素の正確な空間的操作が可能になり、指定された寸法と強度に基づいて、対象を絞った調整と拡張を実現します。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | 変更対象となるコンディショニングデータです。空間調整を適用するためのベースとして機能します。 | -| `幅` | `INT` | コンディショニングコンテキスト内に設定する領域の幅を指定し、調整の水平方向の範囲に影響を与えます。 | -| `高さ` | `INT` | 設定する領域の高さを決定し、コンディショニング変更の垂直方向の範囲に影響を与えます。 | -| `x` | `INT` | 設定する領域の水平方向の開始点であり、コンディショニングコンテキスト内での調整位置を指定します。 | -| `y` | `INT` | 領域調整の垂直方向の開始点であり、コンディショニングコンテキスト内での位置を確立します。 | -| `強度`| `FLOAT` | 指定された領域内でのコンディショニング変更の強度を定義し、調整の影響を細かく制御できるようにします。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 変更対象となるコンディショニングデータです。空間調整を適用するためのベースとして機能します。 | CONDITIONING | +| `幅` | コンディショニングコンテキスト内に設定する領域の幅を指定し、調整の水平方向の範囲に影響を与えます。 | `INT` | +| `高さ` | 設定する領域の高さを決定し、コンディショニング変更の垂直方向の範囲に影響を与えます。 | `INT` | +| `x` | 設定する領域の水平方向の開始点であり、コンディショニングコンテキスト内での調整位置を指定します。 | `INT` | +| `y` | 領域調整の垂直方向の開始点であり、コンディショニングコンテキスト内での位置を確立します。 | `INT` | +| `強度` | 指定された領域内でのコンディショニング変更の強度を定義し、調整の影響を細かく制御できるようにします。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | 指定された領域の設定と調整が反映された、変更後のコンディショニングデータです。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 指定された領域の設定と調整が反映された、変更後のコンディショニングデータです。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetArea/ja.md) diff --git a/ja/built-in-nodes/ConditioningSetAreaPercentage.mdx b/ja/built-in-nodes/ConditioningSetAreaPercentage.mdx index c5caaf351..5d8290bad 100644 --- a/ja/built-in-nodes/ConditioningSetAreaPercentage.mdx +++ b/ja/built-in-nodes/ConditioningSetAreaPercentage.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ConditioningSetAreaPercentage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentage/ja.md) - ConditioningSetAreaPercentageノードは、条件付け要素の影響範囲をパーセンテージ値に基づいて調整することに特化しています。このノードでは、領域の寸法と位置を画像全体のサイズに対するパーセンテージとして指定できるほか、条件付け効果の強度を調整するための強度パラメータも提供します。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | 変更対象となる条件付け要素を表し、領域と強度の調整を適用するための基盤となります。 | -| `幅` | `FLOAT` | 画像全体の幅に対するパーセンテージで領域の幅を指定し、条件付けが水平方向に影響を与える範囲を決定します。 | -| `高さ` | `FLOAT` | 画像全体の高さに対するパーセンテージで領域の高さを指定し、条件付けの影響が及ぶ垂直方向の範囲を決定します。 | -| `x` | `FLOAT` | 画像全体の幅に対するパーセンテージで領域の水平方向の開始位置を示し、条件付け効果の位置を指定します。 | -| `y` | `FLOAT` | 画像全体の高さに対するパーセンテージで領域の垂直方向の開始位置を指定し、条件付け効果の位置を指定します。 | -| `強度`| `FLOAT` | 指定された領域内での条件付け効果の強度を制御し、その影響を微調整することを可能にします。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 変更対象となる条件付け要素を表し、領域と強度の調整を適用するための基盤となります。 | CONDITIONING | +| `幅` | 画像全体の幅に対するパーセンテージで領域の幅を指定し、条件付けが水平方向に影響を与える範囲を決定します。 | `FLOAT` | +| `高さ` | 画像全体の高さに対するパーセンテージで領域の高さを指定し、条件付けの影響が及ぶ垂直方向の範囲を決定します。 | `FLOAT` | +| `x` | 画像全体の幅に対するパーセンテージで領域の水平方向の開始位置を示し、条件付け効果の位置を指定します。 | `FLOAT` | +| `y` | 画像全体の高さに対するパーセンテージで領域の垂直方向の開始位置を指定し、条件付け効果の位置を指定します。 | `FLOAT` | +| `強度` | 指定された領域内での条件付け効果の強度を制御し、その影響を微調整することを可能にします。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | 更新された領域と強度パラメータを持つ変更済みの条件付け要素を返し、さらなる処理や適用に使用できます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 更新された領域と強度パラメータを持つ変更済みの条件付け要素を返し、さらなる処理や適用に使用できます。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentage/ja.md) diff --git a/ja/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx b/ja/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx index 7da686a02..1aa76a29e 100644 --- a/ja/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx +++ b/ja/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx @@ -5,28 +5,28 @@ sidebarTitle: "ConditioningSetAreaPercentageVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentageVideo/ja.md) - ConditioningSetAreaPercentageVideo ノードは、ビデオ生成用の特定の領域と時間範囲を定義することで、条件付けデータを変更します。このノードを使用すると、全体の寸法に対するパーセンテージ値を使用して、条件付けが適用される領域の位置、サイズ、および持続時間を設定できます。これは、ビデオシーケンスの特定の部分に生成を集中させる場合に便利です。 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `条件設定` | CONDITIONING | 必須 | - | - | 変更する条件付けデータ | -| `幅` | FLOAT | 必須 | 1.0 | 0.0 - 1.0 | 全体の幅に対する、領域の幅の割合（パーセンテージ） | -| `高さ` | FLOAT | 必須 | 1.0 | 0.0 - 1.0 | 全体の高さに対する、領域の高さの割合（パーセンテージ） | -| `時間的` | FLOAT | 必須 | 1.0 | 0.0 - 1.0 | ビデオ全体の長さに対する、領域の時間的な持続時間の割合（パーセンテージ） | -| `x` | FLOAT | 必須 | 0.0 | 0.0 - 1.0 | 領域の水平方向の開始位置（パーセンテージ） | -| `y` | FLOAT | 必須 | 0.0 | 0.0 - 1.0 | 領域の垂直方向の開始位置（パーセンテージ） | -| `z` | FLOAT | 必須 | 0.0 | 0.0 - 1.0 | ビデオタイムラインに対する、領域の時間的な開始位置（パーセンテージ） | -| `強度` | FLOAT | 必須 | 1.0 | 0.0 - 10.0 | 定義された領域内で条件付けに適用される強度の乗数 | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト値 | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `条件設定` | 変更する条件付けデータ | CONDITIONING | 必須 | - | - | +| `幅` | 全体の幅に対する、領域の幅の割合（パーセンテージ） | FLOAT | 必須 | 1.0 | 0.0 - 1.0 | +| `高さ` | 全体の高さに対する、領域の高さの割合（パーセンテージ） | FLOAT | 必須 | 1.0 | 0.0 - 1.0 | +| `時間的` | ビデオ全体の長さに対する、領域の時間的な持続時間の割合（パーセンテージ） | FLOAT | 必須 | 1.0 | 0.0 - 1.0 | +| `x` | 領域の水平方向の開始位置（パーセンテージ） | FLOAT | 必須 | 0.0 | 0.0 - 1.0 | +| `y` | 領域の垂直方向の開始位置（パーセンテージ） | FLOAT | 必須 | 0.0 | 0.0 - 1.0 | +| `z` | ビデオタイムラインに対する、領域の時間的な開始位置（パーセンテージ） | FLOAT | 必須 | 0.0 | 0.0 - 1.0 | +| `強度` | 定義された領域内で条件付けに適用される強度の乗数 | FLOAT | 必須 | 1.0 | 0.0 - 10.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `条件設定` | CONDITIONING | 指定された領域と強度設定が適用された、変更後の条件付けデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `条件設定` | 指定された領域と強度設定が適用された、変更後の条件付けデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentageVideo/ja.md) --- **Source fingerprint (SHA-256):** `72d4bef4f8ddc4765cf69863f7ad03d34992f0ff30a963dbe2dc1b7d69815410` diff --git a/ja/built-in-nodes/ConditioningSetAreaStrength.mdx b/ja/built-in-nodes/ConditioningSetAreaStrength.mdx index d6c14daa7..2231abe5f 100644 --- a/ja/built-in-nodes/ConditioningSetAreaStrength.mdx +++ b/ja/built-in-nodes/ConditioningSetAreaStrength.mdx @@ -5,19 +5,19 @@ sidebarTitle: "ConditioningSetAreaStrength" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaStrength/ja.md) - このノードは、指定された条件付けセットの強度属性を変更するために設計されており、生成プロセスにおける条件付けの影響や強度を調整することができます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | 変更対象となる条件付けセットです。生成プロセスに影響を与える現在の条件付けの状態を表します。 | -| `強度` | `FLOAT` | 条件付けセットに適用される強度値で、その影響の強さを指定します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 変更対象となる条件付けセットです。生成プロセスに影響を与える現在の条件付けの状態を表します。 | CONDITIONING | +| `強度` | 条件付けセットに適用される強度値で、その影響の強さを指定します。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | 各要素の強度値が更新された、変更後の条件付けセットです。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 各要素の強度値が更新された、変更後の条件付けセットです。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaStrength/ja.md) diff --git a/ja/built-in-nodes/ConditioningSetDefaultAndCombine.mdx b/ja/built-in-nodes/ConditioningSetDefaultAndCombine.mdx index 4256be229..a32107e5a 100644 --- a/ja/built-in-nodes/ConditioningSetDefaultAndCombine.mdx +++ b/ja/built-in-nodes/ConditioningSetDefaultAndCombine.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ConditioningSetDefaultAndCombine" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetDefaultAndCombine/ja.md) - このノードは、フックベースのシステムを使用して、プライマリ条件付け入力とデフォルト条件付け入力を結合します。2つの条件付けソースを単一の出力にマージし、プライマリ条件付けが不完全な場合に、デフォルト条件付けがフォールバックまたはベースとして機能することを可能にします。 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `cond` | CONDITIONING | 必須 | - | - | 処理および結合されるプライマリ条件付け入力 | -| `cond_DEFAULT` | CONDITIONING | 必須 | - | - | プライマリ条件付けと結合されるデフォルト条件付けデータ | -| `hooks` | HOOKS | オプション | - | - | 条件付けデータの処理方法と結合方法を制御するオプションのフック設定 | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `cond` | 処理および結合されるプライマリ条件付け入力 | CONDITIONING | 必須 | - | - | +| `cond_DEFAULT` | プライマリ条件付けと結合されるデフォルト条件付けデータ | CONDITIONING | 必須 | - | - | +| `hooks` | 条件付けデータの処理方法と結合方法を制御するオプションのフック設定 | HOOKS | オプション | - | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | プライマリ条件付け入力とデフォルト条件付け入力をマージした結果の結合条件付けデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | プライマリ条件付け入力とデフォルト条件付け入力をマージした結果の結合条件付けデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetDefaultAndCombine/ja.md) --- **Source fingerprint (SHA-256):** `5e6c95f454c7e262878cc362c6b199e01abff10f803c81afe6e76a317c30d039` diff --git a/ja/built-in-nodes/ConditioningSetMask.mdx b/ja/built-in-nodes/ConditioningSetMask.mdx index 9af1f6f2d..113cf95d2 100644 --- a/ja/built-in-nodes/ConditioningSetMask.mdx +++ b/ja/built-in-nodes/ConditioningSetMask.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ConditioningSetMask" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetMask/ja.md) - このノードは、指定された強度でマスクを特定の領域に適用することにより、生成モデルの条件付け（conditioning）を変更するように設計されています。条件付け内で対象を絞った調整を可能にし、生成プロセスをより精密に制御できるようにします。 ## 入力 ### 必須 -| パラメータ | データ型 | 説明 | -|---------------|--------------|-------------| -| `CONDITIONING` | CONDITIONING | 変更対象の条件付けデータです。マスクと強度の調整を適用するための基盤となります。 | -| `マスク` | `MASK` | 条件付け内で変更する領域を指定するマスクテンソルです。 | -| `強度` | `FLOAT` | 条件付けに対するマスク効果の強度です。適用される変更の微調整を可能にします。 | -| `条件付けエリア設定` | COMBO[STRING] | マスクの効果をデフォルト領域に適用するか、マスク自体で境界を設定するかを決定します。特定の領域を対象とする柔軟性を提供します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 変更対象の条件付けデータです。マスクと強度の調整を適用するための基盤となります。 | CONDITIONING | +| `マスク` | 条件付け内で変更する領域を指定するマスクテンソルです。 | `MASK` | +| `強度` | 条件付けに対するマスク効果の強度です。適用される変更の微調整を可能にします。 | `FLOAT` | +| `条件付けエリア設定` | マスクの効果をデフォルト領域に適用するか、マスク自体で境界を設定するかを決定します。特定の領域を対象とする柔軟性を提供します。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|---------------|--------------|-------------| -| `CONDITIONING` | CONDITIONING | マスクと強度の調整が適用された、変更後の条件付けデータです。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | マスクと強度の調整が適用された、変更後の条件付けデータです。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetMask/ja.md) diff --git a/ja/built-in-nodes/ConditioningSetProperties.mdx b/ja/built-in-nodes/ConditioningSetProperties.mdx index 820f99cfa..519f9e2de 100644 --- a/ja/built-in-nodes/ConditioningSetProperties.mdx +++ b/ja/built-in-nodes/ConditioningSetProperties.mdx @@ -5,30 +5,30 @@ sidebarTitle: "ConditioningSetProperties" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetProperties/ja.md) - 以下が翻訳結果です。 ConditioningSetProperties ノードは、強度、領域設定の調整、およびオプションのマスク、フック、タイムステップ範囲の適用により、条件付けデータのプロパティを変更します。このノードを使用すると、画像生成中に条件付けデータの適用に影響を与える特定のパラメータを設定することで、条件付けが生成プロセスに与える影響を制御できます。 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `新しい条件` | CONDITIONING | 必須 | - | - | 変更する条件付けデータ | -| `強度` | FLOAT | 必須 | 1.0 | 0.0 - 10.0 (ステップ: 0.01) | 条件付け効果の強度を制御します | -| `条件付けエリア設定` | STRING | 必須 | default | ["default", "mask bounds"] | 条件付け領域の適用方法を決定します。標準的な動作には "default" を、マスク領域に制限するには "mask bounds" を選択します | -| `マスク` | MASK | オプション | - | - | 条件付けを適用する領域を制限するオプションのマスク | -| `フック` | HOOKS | オプション | - | - | カスタム処理のためのオプションのフック関数 | -| `タイムステップ` | TIMESTEPS_RANGE | オプション | - | - | 条件付けがアクティブになるタイムステップを制限するオプションのタイムステップ範囲 | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト値 | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `新しい条件` | 変更する条件付けデータ | CONDITIONING | 必須 | - | - | +| `強度` | 条件付け効果の強度を制御します | FLOAT | 必須 | 1.0 | 0.0 - 10.0 (ステップ: 0.01) | +| `条件付けエリア設定` | 条件付け領域の適用方法を決定します。標準的な動作には "default" を、マスク領域に制限するには "mask bounds" を選択します | STRING | 必須 | default | ["default", "mask bounds"] | +| `マスク` | 条件付けを適用する領域を制限するオプションのマスク | MASK | オプション | - | - | +| `フック` | カスタム処理のためのオプションのフック関数 | HOOKS | オプション | - | - | +| `タイムステップ` | 条件付けがアクティブになるタイムステップを制限するオプションのタイムステップ範囲 | TIMESTEPS_RANGE | オプション | - | - | **注記:** `mask` が指定された場合、`set_cond_area` パラメータを "mask bounds" に設定することで、条件付けの適用をマスク領域のみに制限できます。`hooks` パラメータはフック関数によるカスタム処理を可能にし、`timesteps` は生成中の特定のタイムステップ範囲に条件付け効果を制限します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 更新されたプロパティを持つ変更済みの条件付けデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 更新されたプロパティを持つ変更済みの条件付けデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetProperties/ja.md) --- **Source fingerprint (SHA-256):** `5e3f5348f6df8f2fa1c1d42b883efcab3ee07d933e219f11fa48730aacc168d7` diff --git a/ja/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx b/ja/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx index ded1d32f3..98eee6fb7 100644 --- a/ja/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx +++ b/ja/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx @@ -5,29 +5,29 @@ sidebarTitle: "ConditioningSetPropertiesAndCombine" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetPropertiesAndCombine/ja.md) - ConditioningSetPropertiesAndCombine ノードは、既存の条件付け入力に新しい条件付け入力のプロパティを適用することで、条件付けデータを変更します。このノードは、新しい条件付けの強度を制御し、条件付け領域の適用方法を指定しながら、2つの条件付けセットを結合します。 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `条件` | CONDITIONING | 必須 | - | - | 変更対象となる元の条件付けデータ | -| `新しい条件` | CONDITIONING | 必須 | - | - | 適用するプロパティを提供する新しい条件付けデータ | -| `強度` | FLOAT | 必須 | 1.0 | 0.0 - 10.0 | 新しい条件付けプロパティの強度を制御します | -| `条件付けエリア設定` | STRING | 必須 | default | ["default", "mask bounds"] | 条件付け領域の適用方法を決定します | -| `マスク` | MASK | オプション | - | - | 条件付けの特定領域を定義するオプションのマスク | -| `フック` | HOOKS | オプション | - | - | カスタム処理のためのオプションのフック関数 | -| `タイムステップ` | TIMESTEPS_RANGE | オプション | - | - | 条件付けを適用するタイミングを制御するオプションのタイムステップ範囲 | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト値 | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `条件` | 変更対象となる元の条件付けデータ | CONDITIONING | 必須 | - | - | +| `新しい条件` | 適用するプロパティを提供する新しい条件付けデータ | CONDITIONING | 必須 | - | - | +| `強度` | 新しい条件付けプロパティの強度を制御します | FLOAT | 必須 | 1.0 | 0.0 - 10.0 | +| `条件付けエリア設定` | 条件付け領域の適用方法を決定します | STRING | 必須 | default | ["default", "mask bounds"] | +| `マスク` | 条件付けの特定領域を定義するオプションのマスク | MASK | オプション | - | - | +| `フック` | カスタム処理のためのオプションのフック関数 | HOOKS | オプション | - | - | +| `タイムステップ` | 条件付けを適用するタイミングを制御するオプションのタイムステップ範囲 | TIMESTEPS_RANGE | オプション | - | - | **注記:** `mask` が指定された場合、`set_cond_area` パラメータで "mask bounds" を使用すると、条件付けの適用をマスク領域に制限できます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | プロパティが変更された結合済みの条件付けデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | プロパティが変更された結合済みの条件付けデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetPropertiesAndCombine/ja.md) --- **Source fingerprint (SHA-256):** `da57eeae428a103cbad77af063419ed0e85aeaa0b8805c8c197df27613477fa8` diff --git a/ja/built-in-nodes/ConditioningSetTimestepRange.mdx b/ja/built-in-nodes/ConditioningSetTimestepRange.mdx index 76936f704..b2aabb17d 100644 --- a/ja/built-in-nodes/ConditioningSetTimestepRange.mdx +++ b/ja/built-in-nodes/ConditioningSetTimestepRange.mdx @@ -5,20 +5,20 @@ sidebarTitle: "ConditioningSetTimestepRange" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetTimestepRange/ja.md) - このノードは、特定のタイムステップ範囲を設定することで、コンディショニングの時間的側面を調整するために設計されています。これにより、コンディショニングプロセスの開始点と終了点を正確に制御でき、よりターゲットを絞った効率的な生成が可能になります。 ## 入力 -| パラメータ | データ型 | 説明 | +| パラメータ | 説明 | データ型 | | --- | --- | --- | -| `CONDITIONING` | CONDITIONING | コンディショニング入力は生成プロセスの現在の状態を表し、このノードは特定のタイムステップ範囲を設定することでそれを変更します。 | -| `開始` | `FLOAT` | startパラメータは、生成プロセス全体のパーセンテージとしてタイムステップ範囲の開始位置を指定し、コンディショニング効果が開始されるタイミングを微調整できるようにします。 | -| `終了` | `FLOAT` | endパラメータは、パーセンテージとしてタイムステップ範囲の終了点を定義し、コンディショニング効果の持続時間と終了を正確に制御できるようにします。 | +| `CONDITIONING` | コンディショニング入力は生成プロセスの現在の状態を表し、このノードは特定のタイムステップ範囲を設定することでそれを変更します。 | CONDITIONING | +| `開始` | startパラメータは、生成プロセス全体のパーセンテージとしてタイムステップ範囲の開始位置を指定し、コンディショニング効果が開始されるタイミングを微調整できるようにします。 | `FLOAT` | +| `終了` | endパラメータは、パーセンテージとしてタイムステップ範囲の終了点を定義し、コンディショニング効果の持続時間と終了を正確に制御できるようにします。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | +| パラメータ | 説明 | データ型 | | --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 出力は、指定されたタイムステップ範囲が適用された変更済みのコンディショニングであり、さらなる処理や生成に使用できます。 | \ No newline at end of file +| `CONDITIONING` | 出力は、指定されたタイムステップ範囲が適用された変更済みのコンディショニングであり、さらなる処理や生成に使用できます。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetTimestepRange/ja.md) diff --git a/ja/built-in-nodes/ConditioningStableAudio.mdx b/ja/built-in-nodes/ConditioningStableAudio.mdx index 87727ac73..bb1782178 100644 --- a/ja/built-in-nodes/ConditioningStableAudio.mdx +++ b/ja/built-in-nodes/ConditioningStableAudio.mdx @@ -5,27 +5,27 @@ sidebarTitle: "ConditioningStableAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningStableAudio/ja.md) - 以下が翻訳結果です。 ConditioningStableAudio ノードは、音声生成用のポジティブおよびネガティブの両方の条件付け入力にタイミング情報を追加します。このノードは、音声コンテンツをいつ、どのくらいの長さで生成するかを制御する開始時間と総再生時間のパラメーターを設定します。既存の条件付けデータに、音声固有のタイミングメタデータを追加して変更します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 音声タイミング情報で変更されるポジティブ条件付け入力 | -| `ネガティブ` | CONDITIONING | はい | - | 音声タイミング情報で変更されるネガティブ条件付け入力 | -| `秒_開始` | FLOAT | はい | 0.0 ～ 1000.0 | 音声生成の開始時間（秒単位、デフォルト：0.0） | -| `秒_合計` | FLOAT | はい | 0.0 ～ 1000.0 | 音声生成の総再生時間（秒単位、デフォルト：47.0） | +| パラメーター | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 音声タイミング情報で変更されるポジティブ条件付け入力 | CONDITIONING | はい | - | +| `ネガティブ` | 音声タイミング情報で変更されるネガティブ条件付け入力 | CONDITIONING | はい | - | +| `秒_開始` | 音声生成の開始時間（秒単位、デフォルト：0.0） | FLOAT | はい | 0.0 ～ 1000.0 | +| `秒_合計` | 音声生成の総再生時間（秒単位、デフォルト：47.0） | FLOAT | はい | 0.0 ～ 1000.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 音声タイミング情報が適用された、変更後のポジティブ条件付け | -| `ネガティブ` | CONDITIONING | 音声タイミング情報が適用された、変更後のネガティブ条件付け | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 音声タイミング情報が適用された、変更後のポジティブ条件付け | CONDITIONING | +| `ネガティブ` | 音声タイミング情報が適用された、変更後のネガティブ条件付け | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningStableAudio/ja.md) --- **Source fingerprint (SHA-256):** `ad4fdb2ac536e4f9cc23c044a7a63333e3f3530cc782937eaedc1565cc7c5d0e` diff --git a/ja/built-in-nodes/ConditioningTimestepsRange.mdx b/ja/built-in-nodes/ConditioningTimestepsRange.mdx index 8ea50da1f..1f8962534 100644 --- a/ja/built-in-nodes/ConditioningTimestepsRange.mdx +++ b/ja/built-in-nodes/ConditioningTimestepsRange.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ConditioningTimestepsRange" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningTimestepsRange/ja.md) - ConditioningTimestepsRange ノードは、生成プロセス中にコンディショニング効果を適用するタイミングを制御するための、3つの異なるタイムステップ範囲を作成します。開始パーセント値と終了パーセント値を受け取り、タイムステップ全体の範囲（0.0 から 1.0）を次の3つのセグメントに分割します：指定されたパーセンテージ間のメイン範囲、開始パーセンテージより前の範囲、および終了パーセンテージより後の範囲です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `開始パーセント` | FLOAT | はい | 0.0 - 1.0 | タイムステップ範囲の開始パーセンテージ（デフォルト：0.0） | -| `終了パーセント` | FLOAT | はい | 0.0 - 1.0 | タイムステップ範囲の終了パーセンテージ（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `開始パーセント` | タイムステップ範囲の開始パーセンテージ（デフォルト：0.0） | FLOAT | はい | 0.0 - 1.0 | +| `終了パーセント` | タイムステップ範囲の終了パーセンテージ（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `範囲前` | TIMESTEPS_RANGE | start_percent と end_percent によって定義されるメインのタイムステップ範囲 | -| `範囲後` | TIMESTEPS_RANGE | 0.0 から start_percent までのタイムステップ範囲 | -| `AFTER_RANGE` | TIMESTEPS_RANGE | end_percent から 1.0 までのタイムステップ範囲 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `範囲前` | start_percent と end_percent によって定義されるメインのタイムステップ範囲 | TIMESTEPS_RANGE | +| `範囲後` | 0.0 から start_percent までのタイムステップ範囲 | TIMESTEPS_RANGE | +| `AFTER_RANGE` | end_percent から 1.0 までのタイムステップ範囲 | TIMESTEPS_RANGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningTimestepsRange/ja.md) --- **Source fingerprint (SHA-256):** `dee21b5ac80fabdeacf3f4a985550fff795702e02911400ae49a97baae834e5e` diff --git a/ja/built-in-nodes/ConditioningZeroOut.mdx b/ja/built-in-nodes/ConditioningZeroOut.mdx index 3b7c28ccc..7bd088fb5 100644 --- a/ja/built-in-nodes/ConditioningZeroOut.mdx +++ b/ja/built-in-nodes/ConditioningZeroOut.mdx @@ -5,18 +5,18 @@ sidebarTitle: "ConditioningZeroOut" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningZeroOut/ja.md) - このノードは、条件付けデータ構造内の特定の要素をゼロに設定し、後続の処理ステップにおけるそれらの影響を実質的に無効化します。条件付けの内部表現を直接操作する必要がある高度な条件付け操作向けに設計されています。 ## 入力 -| パラメータ | Comfy dtype | 説明 | -|-----------|-------------|------| -| `CONDITIONING` | CONDITIONING | 変更対象の条件付けデータ構造です。このノードは、各条件付けエントリ内の `pooled_output` 要素が存在する場合に、それらをゼロに設定します。 | +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `CONDITIONING` | 変更対象の条件付けデータ構造です。このノードは、各条件付けエントリ内の `pooled_output` 要素が存在する場合に、それらをゼロに設定します。 | CONDITIONING | ## 出力 -| パラメータ | Comfy dtype | 説明 | -|-----------|-------------|------| -| `CONDITIONING` | CONDITIONING | 変更後の条件付けデータ構造です。該当する箇所で `pooled_output` 要素がゼロに設定されています。 | \ No newline at end of file +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `CONDITIONING` | 変更後の条件付けデータ構造です。該当する箇所で `pooled_output` 要素がゼロに設定されています。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningZeroOut/ja.md) diff --git a/ja/built-in-nodes/ContextWindowsManual.mdx b/ja/built-in-nodes/ContextWindowsManual.mdx index b02a38495..0e2378865 100644 --- a/ja/built-in-nodes/ContextWindowsManual.mdx +++ b/ja/built-in-nodes/ContextWindowsManual.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ContextWindowsManual" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ContextWindowsManual/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,20 +12,20 @@ Context Windows (Manual) ノードを使用すると、サンプリング中に ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | サンプリング中にコンテキストウィンドウを適用するモデル。 | -| `コンテキスト長` | INT | いいえ | 1+ | コンテキストウィンドウの長さ（デフォルト: 16）。 | -| `コンテキストオーバーラップ` | INT | いいえ | 0+ | コンテキストウィンドウのオーバーラップ（デフォルト: 4）。 | -| `コンテキストスケジュール` | COMBO | いいえ | `STATIC_STANDARD`
`UNIFORM_STANDARD`
`UNIFORM_LOOPED`
`BATCHED` | コンテキストウィンドウのストライド。 | -| `コンテキストストライド` | INT | いいえ | 1+ | コンテキストウィンドウのストライド。uniformスケジュールにのみ適用されます（デフォルト: 1）。 | -| `closed_loop` | BOOLEAN | いいえ | - | コンテキストウィンドウのループを閉じるかどうか。loopedスケジュールにのみ適用されます（デフォルト: False）。 | -| `fuse_method` | COMBO | いいえ | `PYRAMID`
`LIST_STATIC` | コンテキストウィンドウを融合するために使用する方法（デフォルト: PYRAMID）。 | -| `dim` | INT | いいえ | 0-5 | コンテキストウィンドウを適用する次元（デフォルト: 0）。 | -| `フリーノイズ` | BOOLEAN | いいえ | - | FreeNoiseノイズシャッフルを適用するかどうか。ウィンドウのブレンドを改善します（デフォルト: False）。 | -| `cond_retain_index_list` | STRING | いいえ | - | 各ウィンドウのコンディショニングテンソルに保持する潜在インデックスのリスト。例えば、これを'0'に設定すると、各ウィンドウで初期開始画像が使用されます（デフォルト: ""）。 | -| `split_conds_to_windows` | BOOLEAN | いいえ | - | ConditionCombineによって作成された複数のコンディショニングを、リージョンインデックスに基づいて各ウィンドウに分割するかどうか（デフォルト: False）。 | -| `causal_window_fix` | BOOLEAN | いいえ | - | 0以外のインデックスを持つコンテキストウィンドウに因果修正フレームを追加するかどうか（デフォルト: True）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | サンプリング中にコンテキストウィンドウを適用するモデル。 | MODEL | はい | - | +| `コンテキスト長` | コンテキストウィンドウの長さ（デフォルト: 16）。 | INT | いいえ | 1+ | +| `コンテキストオーバーラップ` | コンテキストウィンドウのオーバーラップ（デフォルト: 4）。 | INT | いいえ | 0+ | +| `コンテキストスケジュール` | コンテキストウィンドウのストライド。 | COMBO | いいえ | `STATIC_STANDARD`
`UNIFORM_STANDARD`
`UNIFORM_LOOPED`
`BATCHED` | +| `コンテキストストライド` | コンテキストウィンドウのストライド。uniformスケジュールにのみ適用されます（デフォルト: 1）。 | INT | いいえ | 1+ | +| `closed_loop` | コンテキストウィンドウのループを閉じるかどうか。loopedスケジュールにのみ適用されます（デフォルト: False）。 | BOOLEAN | いいえ | - | +| `fuse_method` | コンテキストウィンドウを融合するために使用する方法（デフォルト: PYRAMID）。 | COMBO | いいえ | `PYRAMID`
`LIST_STATIC` | +| `dim` | コンテキストウィンドウを適用する次元（デフォルト: 0）。 | INT | いいえ | 0-5 | +| `フリーノイズ` | FreeNoiseノイズシャッフルを適用するかどうか。ウィンドウのブレンドを改善します（デフォルト: False）。 | BOOLEAN | いいえ | - | +| `cond_retain_index_list` | 各ウィンドウのコンディショニングテンソルに保持する潜在インデックスのリスト。例えば、これを'0'に設定すると、各ウィンドウで初期開始画像が使用されます（デフォルト: ""）。 | STRING | いいえ | - | +| `split_conds_to_windows` | ConditionCombineによって作成された複数のコンディショニングを、リージョンインデックスに基づいて各ウィンドウに分割するかどうか（デフォルト: False）。 | BOOLEAN | いいえ | - | +| `causal_window_fix` | 0以外のインデックスを持つコンテキストウィンドウに因果修正フレームを追加するかどうか（デフォルト: True）。 | BOOLEAN | いいえ | - | **パラメータ制約:** @@ -38,9 +36,11 @@ Context Windows (Manual) ノードを使用すると、サンプリング中に ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | サンプリング中にコンテキストウィンドウが適用されたモデル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | サンプリング中にコンテキストウィンドウが適用されたモデル。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ContextWindowsManual/ja.md) --- **Source fingerprint (SHA-256):** `b05ddda0ba38588305e6f733cd218c8b462268c39d16226ca961d09054187261` diff --git a/ja/built-in-nodes/ControlNetApply.mdx b/ja/built-in-nodes/ControlNetApply.mdx index 1e33e8877..b39111feb 100644 --- a/ja/built-in-nodes/ControlNetApply.mdx +++ b/ja/built-in-nodes/ControlNetApply.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ControlNetApply" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApply/ja.md) - ControlNetを使用するには、入力画像の前処理が必要です。ComfyUIの初期ノードにはプリプロセッサーやControlNetモデルが付属していないため、まずControlNetプリプロセッサーをインストールし（[こちらからプリプロセッサーをダウンロード](https://github.com/Fannovel16/comfy_controlnet_preprocessors)）、対応するControlNetモデルもインストールしてください。 ## 入力 @@ -27,4 +25,6 @@ ControlNetを使用するには、入力画像の前処理が必要です。Comf | パラメータ | データ型 | 機能 | | --- | --- | --- | | `positive` | `CONDITIONING` | ControlNetで処理されたポジティブな条件付けデータ。次のControlNetノードやK Samplerノードに出力できます | -| `negative` | `CONDITIONING` | ControlNetで処理されたネガティブな条件付けデータ。次のControlNetノードやK Samplerノードに出力できます | \ No newline at end of file +| `negative` | `CONDITIONING` | ControlNetで処理されたネガティブな条件付けデータ。次のControlNetノードやK Samplerノードに出力できます | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApply/ja.md) diff --git a/ja/built-in-nodes/ControlNetApplyAdvanced.mdx b/ja/built-in-nodes/ControlNetApplyAdvanced.mdx index c56c81b19..f4dc6ec39 100644 --- a/ja/built-in-nodes/ControlNetApplyAdvanced.mdx +++ b/ja/built-in-nodes/ControlNetApplyAdvanced.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ControlNetApplyAdvanced" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplyAdvanced/ja.md) - このノードは、画像とコントロールネットモデルに基づいて、条件付けデータに高度なコントロールネット変換を適用します。これにより、生成コンテンツに対するコントロールネットの影響を微調整し、条件付けに対してより精密で多様な変更を加えることが可能になります。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `ポジティブ` | `CONDITIONING` | コントロールネット変換が適用されるポジティブ条件付けデータです。生成コンテンツにおいて強化または維持したい属性や特徴を表します。 | -| `ネガティブ` | `CONDITIONING` | 生成コンテンツから低減または除去したい属性や特徴を表すネガティブ条件付けデータです。このデータにもコントロールネット変換が適用され、コンテンツの特性をバランスよく調整できます。 | -| `コントロールネット` | `CONTROL_NET` | 条件付けデータに対する具体的な調整や強化を定義するために不可欠なコントロールネットモデルです。参照画像と強度パラメータを解釈して変換を適用し、ポジティブ条件付けデータとネガティブ条件付けデータの両方の属性を変更することで、最終的な出力に大きな影響を与えます。 | -| `画像` | `IMAGE` | コントロールネット変換の参照として機能する画像です。コントロールネットが条件付けデータに対して行う調整に影響を与え、特定の特徴の強化または抑制を導きます。 | -| `強度` | `FLOAT` | 条件付けデータに対するコントロールネットの影響の強度を決定するスカラー値です。値が大きいほど、より顕著な調整が適用されます。 | -| `開始パーセント` | `FLOAT` | コントロールネット効果の開始パーセンテージです。指定された範囲にわたって変換を段階的に適用できるようにします。 | -| `終了パーセント` | `FLOAT` | コントロールネット効果の終了パーセンテージであり、変換が適用される範囲を定義します。これにより、調整プロセスをより細かく制御できます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `ポジティブ` | コントロールネット変換が適用されるポジティブ条件付けデータです。生成コンテンツにおいて強化または維持したい属性や特徴を表します。 | `CONDITIONING` | +| `ネガティブ` | 生成コンテンツから低減または除去したい属性や特徴を表すネガティブ条件付けデータです。このデータにもコントロールネット変換が適用され、コンテンツの特性をバランスよく調整できます。 | `CONDITIONING` | +| `コントロールネット` | 条件付けデータに対する具体的な調整や強化を定義するために不可欠なコントロールネットモデルです。参照画像と強度パラメータを解釈して変換を適用し、ポジティブ条件付けデータとネガティブ条件付けデータの両方の属性を変更することで、最終的な出力に大きな影響を与えます。 | `CONTROL_NET` | +| `画像` | コントロールネット変換の参照として機能する画像です。コントロールネットが条件付けデータに対して行う調整に影響を与え、特定の特徴の強化または抑制を導きます。 | `IMAGE` | +| `強度` | 条件付けデータに対するコントロールネットの影響の強度を決定するスカラー値です。値が大きいほど、より顕著な調整が適用されます。 | `FLOAT` | +| `開始パーセント` | コントロールネット効果の開始パーセンテージです。指定された範囲にわたって変換を段階的に適用できるようにします。 | `FLOAT` | +| `終了パーセント` | コントロールネット効果の終了パーセンテージであり、変換が適用される範囲を定義します。これにより、調整プロセスをより細かく制御できます。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `ネガティブ` | `CONDITIONING` | コントロールネット変換の適用後、入力パラメータに基づいて行われた強化を反映した、変更後のポジティブ条件付けデータです。 | -| `ネガティブ` | `CONDITIONING` | コントロールネット変換の適用後、入力パラメータに基づく特定の特徴の抑制または除去を反映した、変更後のネガティブ条件付けデータです。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | コントロールネット変換の適用後、入力パラメータに基づいて行われた強化を反映した、変更後のポジティブ条件付けデータです。 | `CONDITIONING` | +| `ネガティブ` | コントロールネット変換の適用後、入力パラメータに基づく特定の特徴の抑制または除去を反映した、変更後のネガティブ条件付けデータです。 | `CONDITIONING` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplyAdvanced/ja.md) diff --git a/ja/built-in-nodes/ControlNetApplySD3.mdx b/ja/built-in-nodes/ControlNetApplySD3.mdx index 3a2b9c4e6..fa0cb4acc 100644 --- a/ja/built-in-nodes/ControlNetApplySD3.mdx +++ b/ja/built-in-nodes/ControlNetApplySD3.mdx @@ -5,31 +5,31 @@ sidebarTitle: "ControlNetApplySD3" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplySD3/ja.md) - このノードは、ControlNetガイダンスをStable Diffusion 3の条件付けに適用します。ポジティブおよびネガティブの条件付け入力と、ControlNetモデルおよび画像を受け取り、調整可能な強度とタイミングパラメータで制御ガイダンスを適用し、生成プロセスに影響を与えます。 **注意：** このノードは非推奨としてマークされており、将来のバージョンで削除される可能性があります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | ControlNetガイダンスを適用するポジティブ条件付け | -| `ネガティブ` | CONDITIONING | はい | - | ControlNetガイダンスを適用するネガティブ条件付け | -| `コントロールネット` | CONTROL_NET | はい | - | ガイダンスに使用するControlNetモデル | -| `vae` | VAE | はい | - | プロセスで使用されるVAEモデル | -| `画像` | IMAGE | はい | - | ControlNetがガイダンスとして使用する入力画像 | -| `強度` | FLOAT | はい | 0.0 - 10.0 | ControlNet効果の強度（デフォルト：1.0） | -| `開始パーセント` | FLOAT | はい | 0.0 - 1.0 | ControlNetが適用を開始する生成プロセス内の開始位置（デフォルト：0.0） | -| `終了パーセント` | FLOAT | はい | 0.0 - 1.0 | ControlNetが適用を終了する生成プロセス内の終了位置（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | ControlNetガイダンスを適用するポジティブ条件付け | CONDITIONING | はい | - | +| `ネガティブ` | ControlNetガイダンスを適用するネガティブ条件付け | CONDITIONING | はい | - | +| `コントロールネット` | ガイダンスに使用するControlNetモデル | CONTROL_NET | はい | - | +| `vae` | プロセスで使用されるVAEモデル | VAE | はい | - | +| `画像` | ControlNetがガイダンスとして使用する入力画像 | IMAGE | はい | - | +| `強度` | ControlNet効果の強度（デフォルト：1.0） | FLOAT | はい | 0.0 - 10.0 | +| `開始パーセント` | ControlNetが適用を開始する生成プロセス内の開始位置（デフォルト：0.0） | FLOAT | はい | 0.0 - 1.0 | +| `終了パーセント` | ControlNetが適用を終了する生成プロセス内の終了位置（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | ControlNetガイダンスが適用された変更後のポジティブ条件付け | -| `ネガティブ` | CONDITIONING | ControlNetガイダンスが適用された変更後のネガティブ条件付け | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | ControlNetガイダンスが適用された変更後のポジティブ条件付け | CONDITIONING | +| `ネガティブ` | ControlNetガイダンスが適用された変更後のネガティブ条件付け | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplySD3/ja.md) --- **Source fingerprint (SHA-256):** `7bd24b19c159374bc86a773be9b563760bfae7e10d3333596788dbc52ef2f294` diff --git a/ja/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx b/ja/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx index 97417685f..3b895d843 100644 --- a/ja/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx +++ b/ja/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx @@ -5,34 +5,34 @@ sidebarTitle: "ControlNetInpaintingAliMamaApply" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetInpaintingAliMamaApply/ja.md) - 以下が翻訳結果です。 ControlNetInpaintingAliMamaApply ノードは、ポジティブおよびネガティブな条件付けとコントロール画像およびマスクを組み合わせることで、インペインティングタスク用の ControlNet 条件付けを適用します。入力画像とマスクを処理して、生成プロセスをガイドする修正済み条件付けを作成し、画像のどの領域をインペイントするかを正確に制御できます。このノードは、生成プロセスのさまざまな段階で ControlNet の影響を微調整するための強度調整機能とタイミング制御機能をサポートしています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 生成を目的のコンテンツへ導くポジティブ条件付け | -| `ネガティブ` | CONDITIONING | はい | - | 生成を不要なコンテンツから遠ざけるネガティブ条件付け | -| `コントロールネット` | CONTROL_NET | はい | - | 生成を追加制御する ControlNet モデル | -| `vae` | VAE | はい | - | 画像のエンコードおよびデコードに使用される VAE（変分オートエンコーダー） | -| `画像` | IMAGE | はい | - | ControlNet の制御ガイダンスとして機能する入力画像 | -| `マスク` | MASK | はい | - | 画像のどの領域をインペイントすべきかを定義するマスク | -| `強度` | FLOAT | はい | 0.0 ～ 10.0 | ControlNet 効果の強度（デフォルト：1.0） | -| `開始パーセント` | FLOAT | はい | 0.0 ～ 1.0 | 生成中に ControlNet の影響が開始する開始点（パーセンテージ）（デフォルト：0.0） | -| `終了パーセント` | FLOAT | はい | 0.0 ～ 1.0 | 生成中に ControlNet の影響が終了する終了点（パーセンテージ）（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 生成を目的のコンテンツへ導くポジティブ条件付け | CONDITIONING | はい | - | +| `ネガティブ` | 生成を不要なコンテンツから遠ざけるネガティブ条件付け | CONDITIONING | はい | - | +| `コントロールネット` | 生成を追加制御する ControlNet モデル | CONTROL_NET | はい | - | +| `vae` | 画像のエンコードおよびデコードに使用される VAE（変分オートエンコーダー） | VAE | はい | - | +| `画像` | ControlNet の制御ガイダンスとして機能する入力画像 | IMAGE | はい | - | +| `マスク` | 画像のどの領域をインペイントすべきかを定義するマスク | MASK | はい | - | +| `強度` | ControlNet 効果の強度（デフォルト：1.0） | FLOAT | はい | 0.0 ～ 10.0 | +| `開始パーセント` | 生成中に ControlNet の影響が開始する開始点（パーセンテージ）（デフォルト：0.0） | FLOAT | はい | 0.0 ～ 1.0 | +| `終了パーセント` | 生成中に ControlNet の影響が終了する終了点（パーセンテージ）（デフォルト：1.0） | FLOAT | はい | 0.0 ～ 1.0 | **注記：** ControlNet で `concat_mask` が有効になっている場合、マスクは反転されて処理前に画像に適用され、マスクは ControlNet に送信される追加の連結データに含まれます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | インペインティング用に ControlNet が適用された修正済みポジティブ条件付け | -| `ネガティブ` | CONDITIONING | インペインティング用に ControlNet が適用された修正済みネガティブ条件付け | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | インペインティング用に ControlNet が適用された修正済みポジティブ条件付け | CONDITIONING | +| `ネガティブ` | インペインティング用に ControlNet が適用された修正済みネガティブ条件付け | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetInpaintingAliMamaApply/ja.md) --- **Source fingerprint (SHA-256):** `30b49991b5ead039122a282fb48e3ed30477f89ce1430c371529bc42f921020d` diff --git a/ja/built-in-nodes/ControlNetLoader.mdx b/ja/built-in-nodes/ControlNetLoader.mdx index 68fd2e67c..b2ab8ec2d 100644 --- a/ja/built-in-nodes/ControlNetLoader.mdx +++ b/ja/built-in-nodes/ControlNetLoader.mdx @@ -5,20 +5,20 @@ sidebarTitle: "ControlNetLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetLoader/ja.md) - このノードは、`ComfyUI/models/controlnet` フォルダ内にあるモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み込ませる必要があります。 ControlNetLoader ノードは、指定されたパスから ControlNet モデルを読み込むように設計されています。このノードは、生成コンテンツに制御メカニズムを適用したり、制御信号に基づいて既存のコンテンツを変更したりするために不可欠な、ControlNet モデルの初期化において重要な役割を果たします。 ## 入力 -| フィールド | Comfy データ型 | 説明 | -|-------------------|----------------|------------------------------------------------------------------------------------------------| -| `コントロールネット名`| `COMBO[STRING]` | 読み込む ControlNet モデルの名前を指定します。事前に定義されたディレクトリ構造内でモデルファイルを特定するために使用されます。 | +| フィールド | 説明 | Comfy データ型 | +| --- | --- | --- | +| `コントロールネット名` | 読み込む ControlNet モデルの名前を指定します。事前に定義されたディレクトリ構造内でモデルファイルを特定するために使用されます。 | `COMBO[STRING]` | ## 出力 -| フィールド | Comfy データ型 | 説明 | -|----------------|------------------|--------------------------------------------------------------------------------------------------| -| `control_net` | `CONTROL_NET` | 読み込まれた ControlNet モデルを返します。コンテンツ生成プロセスの制御や変更に使用できる状態です。 | \ No newline at end of file +| フィールド | 説明 | Comfy データ型 | +| --- | --- | --- | +| `control_net` | 読み込まれた ControlNet モデルを返します。コンテンツ生成プロセスの制御や変更に使用できる状態です。 | `CONTROL_NET` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetLoader/ja.md) diff --git a/ja/built-in-nodes/ConvertStringToComboNode.mdx b/ja/built-in-nodes/ConvertStringToComboNode.mdx index fc974487b..1199ac3bf 100644 --- a/ja/built-in-nodes/ConvertStringToComboNode.mdx +++ b/ja/built-in-nodes/ConvertStringToComboNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ConvertStringToComboNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConvertStringToComboNode/ja.md) - このドキュメントは AI が生成したものです。誤りや改善の提案があれば、ぜひご協力ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConvertStringToComboNode/en.md) Convert String to Combo ノードは、テキスト文字列を入力として受け取り、それを Combo データ型に変換します。これにより、テキスト値を、Combo 入力が必要な他のノードの選択肢として使用できるようになります。このノードは、文字列の値を変更せずにそのまま渡しますが、データ型を変更します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | はい | なし | Combo 型に変換するテキスト文字列。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `string` | Combo 型に変換するテキスト文字列。 | STRING | はい | なし | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | COMBO | 入力された文字列が、Combo データ型としてフォーマットされたもの。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力された文字列が、Combo データ型としてフォーマットされたもの。 | COMBO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConvertStringToComboNode/ja.md) --- **Source fingerprint (SHA-256):** `37bd7db5a5ce2657db30a3a24da90c1c1e5c4a3f7089b4d03a0528b7770e9fe1` diff --git a/ja/built-in-nodes/CosmosImageToVideoLatent.mdx b/ja/built-in-nodes/CosmosImageToVideoLatent.mdx index 8db58a647..f873391ba 100644 --- a/ja/built-in-nodes/CosmosImageToVideoLatent.mdx +++ b/ja/built-in-nodes/CosmosImageToVideoLatent.mdx @@ -5,29 +5,29 @@ sidebarTitle: "CosmosImageToVideoLatent" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosImageToVideoLatent/ja.md) - CosmosImageToVideoLatent ノードは、入力画像からビデオの潜在表現を生成します。空のビデオ潜在表現を作成し、オプションで開始画像や終了画像をビデオシーケンスの先頭フレームや末尾フレームにエンコードします。画像が提供された場合、生成中に潜在表現のどの部分を保持すべきかを示す、対応するノイズマスクも作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするために使用されるVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位）（デフォルト：1280） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位）（デフォルト：704） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | ビデオシーケンスのフレーム数（デフォルト：121） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | 生成する潜在バッチの数（デフォルト：1） | -| `開始画像` | IMAGE | いいえ | - | ビデオシーケンスの先頭にエンコードするオプションの画像 | -| `終了画像` | IMAGE | いいえ | - | ビデオシーケンスの末尾にエンコードするオプションの画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `vae` | 画像を潜在空間にエンコードするために使用されるVAEモデル | VAE | はい | - | +| `幅` | 出力ビデオの幅（ピクセル単位）（デフォルト：1280） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力ビデオの高さ（ピクセル単位）（デフォルト：704） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | ビデオシーケンスのフレーム数（デフォルト：121） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 生成する潜在バッチの数（デフォルト：1） | INT | はい | 1 ～ 4096 | +| `開始画像` | ビデオシーケンスの先頭にエンコードするオプションの画像 | IMAGE | いいえ | - | +| `終了画像` | ビデオシーケンスの末尾にエンコードするオプションの画像 | IMAGE | いいえ | - | **注記：** `start_image` と `end_image` の両方が提供されない場合、ノードはノイズマスクなしの空の潜在表現を返します。いずれかの画像が提供された場合、潜在表現の該当部分がエンコードされ、それに応じてマスクされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `latent` | LATENT | オプションでエンコードされた画像と対応するノイズマスクを含む、生成されたビデオ潜在表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `latent` | オプションでエンコードされた画像と対応するノイズマスクを含む、生成されたビデオ潜在表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosImageToVideoLatent/ja.md) --- **Source fingerprint (SHA-256):** `31ce4dc577c672e0b3dc0bfb6644b2ef7ab737f6c4ee5e0677973b6a4efdd66d` diff --git a/ja/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx b/ja/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx index 96686a279..cd14bfd72 100644 --- a/ja/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx +++ b/ja/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx @@ -5,30 +5,30 @@ sidebarTitle: "CosmosPredict2ImageToVideoLatent" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosPredict2ImageToVideoLatent/ja.md) - CosmosPredict2ImageToVideoLatent ノードは、動画生成のために画像からビデオ潜在表現を作成します。空白のビデオ潜在表現を生成したり、開始画像と終了画像を組み込んで、指定された寸法と長さの動画シーケンスを作成することができます。このノードは、画像を動画処理に適した潜在空間フォーマットにエンコードします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするために使用されるVAEモデル | -| `width` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位、デフォルト：848、16で割り切れる必要があります） | -| `height` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位、デフォルト：480、16で割り切れる必要があります） | -| `length` | INT | いいえ | 1 ～ MAX_RESOLUTION | 動画シーケンスのフレーム数（デフォルト：93、ステップ：4） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 生成する動画シーケンスの数（デフォルト：1） | -| `start_image` | IMAGE | いいえ | - | 動画シーケンスの開始画像（オプション） | -| `end_image` | IMAGE | いいえ | - | 動画シーケンスの終了画像（オプション） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `vae` | 画像を潜在空間にエンコードするために使用されるVAEモデル | VAE | はい | - | +| `width` | 出力動画の幅（ピクセル単位、デフォルト：848、16で割り切れる必要があります） | INT | いいえ | 16 ～ MAX_RESOLUTION | +| `height` | 出力動画の高さ（ピクセル単位、デフォルト：480、16で割り切れる必要があります） | INT | いいえ | 16 ～ MAX_RESOLUTION | +| `length` | 動画シーケンスのフレーム数（デフォルト：93、ステップ：4） | INT | いいえ | 1 ～ MAX_RESOLUTION | +| `batch_size` | 生成する動画シーケンスの数（デフォルト：1） | INT | いいえ | 1 ～ 4096 | +| `start_image` | 動画シーケンスの開始画像（オプション） | IMAGE | いいえ | - | +| `end_image` | 動画シーケンスの終了画像（オプション） | IMAGE | いいえ | - | **注記：** `start_image` と `end_image` の両方が指定されていない場合、ノードは空白のビデオ潜在表現を生成します。画像が指定された場合、それらはエンコードされ、適切なマスキングとともに動画シーケンスの開始位置や終了位置に配置されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `samples` | LATENT | エンコードされた動画シーケンスを含む、生成されたビデオ潜在表現 | -| `noise_mask` | LATENT | 生成中に潜在表現のどの部分を保持すべきかを示すマスク | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `samples` | エンコードされた動画シーケンスを含む、生成されたビデオ潜在表現 | LATENT | +| `noise_mask` | 生成中に潜在表現のどの部分を保持すべきかを示すマスク | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosPredict2ImageToVideoLatent/ja.md) --- **Source fingerprint (SHA-256):** `55fab16180c0e3fa254bcc77694dbc666810b28522e61b9c613f720fae66bd0c` diff --git a/ja/built-in-nodes/CreateCameraInfo.mdx b/ja/built-in-nodes/CreateCameraInfo.mdx new file mode 100644 index 000000000..0ddf68176 --- /dev/null +++ b/ja/built-in-nodes/CreateCameraInfo.mdx @@ -0,0 +1,66 @@ +--- +title: "CreateCameraInfo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateCameraInfo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CreateCameraInfo" +icon: "circle" +mode: wide +--- +# カメラ情報の作成 + +Create Camera Infoノードは、3Dレンダリング用のカメラ情報構造体を構築します。カメラの定義には、オービット（ターゲット周りのヨー/ピッチ/距離）、look_at（明示的なワールド位置）、クォータニオン（位置＋回転）の3つのモードをサポートしています。座標系は右手系で、Y軸が上方向となります。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `モード` | カメラの定義方法：オービット角度、明示的な位置、または位置＋クォータニオン | COMBO | はい | `"orbit"`
`"look_at"`
`"quaternion"` | +| `ターゲットX` | 注視点（オービットの支点/照準）。オービットモードでは、これを移動することでカメラ全体をパン/移動します。クォータニオンモードでは無視されます。デフォルトは原点です。（デフォルト：0.0） | FLOAT | いいえ | -1000.0 ～ 1000.0 | +| `ターゲットY` | ターゲット点のY成分。（デフォルト：0.0） | FLOAT | いいえ | -1000.0 ～ 1000.0 | +| `ターゲットZ` | ターゲット点のZ成分。（デフォルト：0.0） | FLOAT | いいえ | -1000.0 ～ 1000.0 | +| `ロール` | 視軸周りのカメラのロール（度単位）。（デフォルト：0.0） | FLOAT | いいえ | -180.0 ～ 180.0 | +| `視野角` | 垂直視野角（度単位）。（デフォルト：35.0） | FLOAT | いいえ | 1.0 ～ 120.0 | +| `ズーム` | デジタルズーム（焦点距離倍率）。1より大きい値はカメラを移動せずにズームインします。（デフォルト：1.0） | FLOAT | いいえ | 0.01 ～ 100.0 | +| `カメラタイプ` | Render Splatで使用する投影法：透視投影（遠近感）または正投影（平行投影）。（デフォルト："perspective"） | COMBO | いいえ | `"perspective"`
`"orthographic"` | + +### モード固有のパラメータ + +`mode`が`"orbit"`に設定されている場合、以下のパラメータが使用可能になります： + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `yaw` | ターゲット周りの水平回転角度。（デフォルト：35.0） | FLOAT | はい | -360.0 ～ 360.0 | +| `pitch` | ターゲット周りの垂直回転角度。（デフォルト：30.0） | FLOAT | はい | -89.0 ～ 89.0 | +| `distance` | ターゲットからのカメラ距離。（デフォルト：4.0） | FLOAT | はい | 0.01 ～ 1000.0 | + +`mode`が`"look_at"`に設定されている場合、以下のパラメータが使用可能になります： + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `position_x` | ワールド空間におけるカメラ位置（右手系、Y軸上方向）。（デフォルト：4.0） | FLOAT | はい | -1000.0 ～ 1000.0 | +| `position_y` | カメラ位置のY成分。（デフォルト：4.0） | FLOAT | はい | -1000.0 ～ 1000.0 | +| `position_z` | カメラ位置のZ成分。（デフォルト：4.0） | FLOAT | はい | -1000.0 ～ 1000.0 | + +`mode`が`"quaternion"`に設定されている場合、以下のパラメータが使用可能になります： + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `position_x` | ワールド空間におけるカメラ位置（右手系、Y軸上方向）。（デフォルト：4.0） | FLOAT | はい | -1000.0 ～ 1000.0 | +| `position_y` | カメラ位置のY成分。（デフォルト：4.0） | FLOAT | はい | -1000.0 ～ 1000.0 | +| `position_z` | カメラ位置のZ成分。（デフォルト：4.0） | FLOAT | はい | -1000.0 ～ 1000.0 | +| `quat_x` | カメラのワールド回転クォータニオンのX成分。（デフォルト：0.0） | FLOAT | はい | -1.0 ～ 1.0 | +| `quat_y` | カメラのワールド回転クォータニオンのY成分。（デフォルト：0.0） | FLOAT | はい | -1.0 ～ 1.0 | +| `quat_z` | カメラのワールド回転クォータニオンのZ成分。（デフォルト：0.0） | FLOAT | はい | -1.0 ～ 1.0 | +| `quat_w` | カメラのワールド回転クォータニオン（three.js：ローカル-Z方向を注視）。自動的に正規化されます。（デフォルト：1.0） | FLOAT | はい | -1.0 ～ 1.0 | + +**注意：** `target_x`、`target_y`、`target_z`パラメータは、`mode`が`"quaternion"`に設定されている場合は無視されます。`"orbit"`モードでは、これらのターゲットパラメータがカメラが周回する支点を定義します。 + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `camera_info` | 3Dレンダリング用の位置、回転、視野角、ズーム、投影法を含むカメラ情報構造体。 | LOAD3DCAMERA | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateCameraInfo/ja.md) + +--- +**Source fingerprint (SHA-256):** `577c114130f72b753d5f15775fe05b3e1e734f5865cca32c576d042583f8e873` diff --git a/ja/built-in-nodes/CreateHookKeyframe.mdx b/ja/built-in-nodes/CreateHookKeyframe.mdx index 370803a87..c433a9fef 100644 --- a/ja/built-in-nodes/CreateHookKeyframe.mdx +++ b/ja/built-in-nodes/CreateHookKeyframe.mdx @@ -5,25 +5,25 @@ sidebarTitle: "CreateHookKeyframe" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframe/ja.md) - 以下が翻訳結果です。 Create Hook Keyframe ノードを使用すると、生成プロセス内でフックの動作が変化する特定のポイントを定義できます。このノードは、生成進行の特定のパーセンテージ時点でフックの強度を変更するキーフレームを作成し、これらのキーフレームを連鎖させることで複雑なスケジューリングパターンを実現できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `強度倍数` | FLOAT | はい | -20.0 ～ 20.0 | このキーフレームにおけるフック強度の乗数（デフォルト：1.0） | -| `開始パーセント` | FLOAT | はい | 0.0 ～ 1.0 | このキーフレームが有効になる生成プロセス上のパーセンテージ位置（デフォルト：0.0） | -| `前のフックキーフレーム` | HOOK_KEYFRAMES | いいえ | - | このキーフレームを追加する、オプションの前のフックキーフレームグループ | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `強度倍数` | このキーフレームにおけるフック強度の乗数（デフォルト：1.0） | FLOAT | はい | -20.0 ～ 20.0 | +| `開始パーセント` | このキーフレームが有効になる生成プロセス上のパーセンテージ位置（デフォルト：0.0） | FLOAT | はい | 0.0 ～ 1.0 | +| `前のフックキーフレーム` | このキーフレームを追加する、オプションの前のフックキーフレームグループ | HOOK_KEYFRAMES | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `HOOK_KF` | HOOK_KEYFRAMES | 新しく作成されたキーフレームを含むフックキーフレームのグループ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `HOOK_KF` | 新しく作成されたキーフレームを含むフックキーフレームのグループ | HOOK_KEYFRAMES | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframe/ja.md) --- **Source fingerprint (SHA-256):** `51893311a0623cafcf8c2d8af00e4005ca2fea2df9474e87d7d4b332b38435c3` diff --git a/ja/built-in-nodes/CreateHookKeyframesFromFloats.mdx b/ja/built-in-nodes/CreateHookKeyframesFromFloats.mdx index 7dbfe7ef8..7d0814737 100644 --- a/ja/built-in-nodes/CreateHookKeyframesFromFloats.mdx +++ b/ja/built-in-nodes/CreateHookKeyframesFromFloats.mdx @@ -5,27 +5,27 @@ sidebarTitle: "CreateHookKeyframesFromFloats" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesFromFloats/ja.md) - このノードは、浮動小数点数の強度値のリストからフックキーフレームを作成し、指定された開始パーセンテージと終了パーセンテージの間で均等に分散します。各強度値がアニメーションタイムライン上の特定のパーセンテージ位置に割り当てられたキーフレームのシーケンスを生成します。このノードは、新しいキーフレームグループを作成するか、既存のグループに追加することができ、デバッグ目的で生成されたキーフレームを出力するオプションもあります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `浮動小数点数の強度` | FLOATS | はい | -1 ～ ∞ | キーフレームの強度値を表す単一の浮動小数点数値、または浮動小数点数値のリスト（デフォルト: -1） | -| `開始パーセント` | FLOAT | はい | 0.0 ～ 1.0 | タイムライン上で最初のキーフレームの開始パーセンテージ位置（デフォルト: 0.0） | -| `終了パーセント` | FLOAT | はい | 0.0 ～ 1.0 | タイムライン上で最後のキーフレームの終了パーセンテージ位置（デフォルト: 1.0） | -| `キーフレームを印刷` | BOOLEAN | はい | True/False | 有効にすると、生成されたキーフレーム情報をコンソールに出力します（デフォルト: False） | -| `前のフックキーフレーム` | HOOK_KEYFRAMES | いいえ | - | 新しいキーフレームを追加する既存のフックキーフレームグループ。指定しない場合は新しいグループを作成します | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `浮動小数点数の強度` | キーフレームの強度値を表す単一の浮動小数点数値、または浮動小数点数値のリスト（デフォルト: -1） | FLOATS | はい | -1 ～ ∞ | +| `開始パーセント` | タイムライン上で最初のキーフレームの開始パーセンテージ位置（デフォルト: 0.0） | FLOAT | はい | 0.0 ～ 1.0 | +| `終了パーセント` | タイムライン上で最後のキーフレームの終了パーセンテージ位置（デフォルト: 1.0） | FLOAT | はい | 0.0 ～ 1.0 | +| `キーフレームを印刷` | 有効にすると、生成されたキーフレーム情報をコンソールに出力します（デフォルト: False） | BOOLEAN | はい | True/False | +| `前のフックキーフレーム` | 新しいキーフレームを追加する既存のフックキーフレームグループ。指定しない場合は新しいグループを作成します | HOOK_KEYFRAMES | いいえ | - | **注記:** `floats_strength` パラメータは、単一の浮動小数点数値、または反復可能な浮動小数点数のリストのいずれかを受け入れます。キーフレームは、指定された強度値の数に基づいて `start_percent` と `end_percent` の間で線形に分散されます。最初のキーフレームは、確実に適用されるように少なくとも1ステップが保証されています。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `HOOK_KF` | HOOK_KEYFRAMES | 新しく作成されたキーフレームを含むフックキーフレームグループ。新しいグループとして、または入力キーフレームグループに追加された状態で提供されます | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `HOOK_KF` | 新しく作成されたキーフレームを含むフックキーフレームグループ。新しいグループとして、または入力キーフレームグループに追加された状態で提供されます | HOOK_KEYFRAMES | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesFromFloats/ja.md) --- **Source fingerprint (SHA-256):** `566864ec72062d913d95b38b3c53c655d4fdd971a01c4bec54669850b2feddc8` diff --git a/ja/built-in-nodes/CreateHookKeyframesInterpolated.mdx b/ja/built-in-nodes/CreateHookKeyframesInterpolated.mdx index b27e0c4fa..fbbab2f1b 100644 --- a/ja/built-in-nodes/CreateHookKeyframesInterpolated.mdx +++ b/ja/built-in-nodes/CreateHookKeyframesInterpolated.mdx @@ -5,30 +5,30 @@ sidebarTitle: "CreateHookKeyframesInterpolated" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesInterpolated/ja.md) - ## 概要 開始点と終了点の間で強度値を補間したフックキーフレームのシーケンスを作成します。このノードは、生成プロセスの指定されたパーセンテージ範囲にわたって強度パラメータを滑らかに遷移させる複数のキーフレームを生成し、さまざまな補間方式を使用して遷移曲線を制御します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `strength_start` | FLOAT | はい | 0.0 - 10.0 | 補間シーケンスの開始強度値（デフォルト: 1.0） | -| `strength_end` | FLOAT | はい | 0.0 - 10.0 | 補間シーケンスの終了強度値（デフォルト: 1.0） | -| `補間` | COMBO | はい | `LINEAR`
`EASE_IN`
`EASE_OUT`
`EASE_IN_OUT`
`EASE_OUT_IN`
`SINE`
`CUBIC`
`QUARTIC`
`QUINTIC`
`EXPO`
`CIRC`
`BACK`
`BOUNCE`
`ELASTIC` | 強度値間の遷移に使用する補間方式（デフォルト: LINEAR） | -| `start_percent` | FLOAT | はい | 0.0 - 1.0 | 生成プロセスにおける開始パーセンテージ位置（デフォルト: 0.0） | -| `end_percent` | FLOAT | はい | 0.0 - 1.0 | 生成プロセスにおける終了パーセンテージ位置（デフォルト: 1.0） | -| `キーフレーム数` | INT | はい | 2 - 100 | 補間シーケンスで生成するキーフレームの数（デフォルト: 5） | -| `キーフレームを印刷` | BOOLEAN | はい | True/False | 生成されたキーフレーム情報をログに出力するかどうか（デフォルト: False） | -| `prev_hook_kf` | HOOK_KEYFRAMES | いいえ | - | 追加先となる、オプションの既存フックキーフレームグループ | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `strength_start` | 補間シーケンスの開始強度値（デフォルト: 1.0） | FLOAT | はい | 0.0 - 10.0 | +| `strength_end` | 補間シーケンスの終了強度値（デフォルト: 1.0） | FLOAT | はい | 0.0 - 10.0 | +| `補間` | 強度値間の遷移に使用する補間方式（デフォルト: LINEAR） | COMBO | はい | `LINEAR`
`EASE_IN`
`EASE_OUT`
`EASE_IN_OUT`
`EASE_OUT_IN`
`SINE`
`CUBIC`
`QUARTIC`
`QUINTIC`
`EXPO`
`CIRC`
`BACK`
`BOUNCE`
`ELASTIC` | +| `start_percent` | 生成プロセスにおける開始パーセンテージ位置（デフォルト: 0.0） | FLOAT | はい | 0.0 - 1.0 | +| `end_percent` | 生成プロセスにおける終了パーセンテージ位置（デフォルト: 1.0） | FLOAT | はい | 0.0 - 1.0 | +| `キーフレーム数` | 補間シーケンスで生成するキーフレームの数（デフォルト: 5） | INT | はい | 2 - 100 | +| `キーフレームを印刷` | 生成されたキーフレーム情報をログに出力するかどうか（デフォルト: False） | BOOLEAN | はい | True/False | +| `prev_hook_kf` | 追加先となる、オプションの既存フックキーフレームグループ | HOOK_KEYFRAMES | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `HOOK_KF` | HOOK_KEYFRAMES | 補間シーケンスを含む、生成されたフックキーフレームグループ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `HOOK_KF` | 補間シーケンスを含む、生成されたフックキーフレームグループ | HOOK_KEYFRAMES | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesInterpolated/ja.md) --- **Source fingerprint (SHA-256):** `f90c96745ca1f02bbb02e08d2d82be1bbb1f3c80ac5d53a4c6bc07a0e2b8d76f` diff --git a/ja/built-in-nodes/CreateHookLora.mdx b/ja/built-in-nodes/CreateHookLora.mdx index cdfad3d6f..a491d30e9 100644 --- a/ja/built-in-nodes/CreateHookLora.mdx +++ b/ja/built-in-nodes/CreateHookLora.mdx @@ -5,20 +5,18 @@ sidebarTitle: "CreateHookLora" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLora/ja.md) - このドキュメントは AI によって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひコントリビュートしてください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLora/en.md) Create Hook LoRA ノードは、モデルに LoRA（低ランク適応）変更を適用するためのフックオブジェクトを生成します。指定された LoRA ファイルを読み込み、モデルと CLIP の強度を調整できるフックを作成し、これらのフックを既存のフックと結合します。このノードは、以前に読み込んだ LoRA ファイルをキャッシュすることで冗長な処理を回避し、LoRA の読み込みを効率的に管理します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `lora_name` | STRING | はい | 複数のオプションから選択可能 | loras ディレクトリから読み込む LoRA ファイルの名前 | -| `strength_model` | FLOAT | はい | -20.0 ～ 20.0 | モデル調整の強度倍率（デフォルト：1.0） | -| `strength_clip` | FLOAT | はい | -20.0 ～ 20.0 | CLIP 調整の強度倍率（デフォルト：1.0） | -| `prev_hooks` | HOOKS | いいえ | N/A | 新しい LoRA フックと結合する既存のフックグループ（オプション） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `lora_name` | loras ディレクトリから読み込む LoRA ファイルの名前 | STRING | はい | 複数のオプションから選択可能 | +| `strength_model` | モデル調整の強度倍率（デフォルト：1.0） | FLOAT | はい | -20.0 ～ 20.0 | +| `strength_clip` | CLIP 調整の強度倍率（デフォルト：1.0） | FLOAT | はい | -20.0 ～ 20.0 | +| `prev_hooks` | 新しい LoRA フックと結合する既存のフックグループ（オプション） | HOOKS | いいえ | N/A | **パラメータ制約：** @@ -27,9 +25,11 @@ Create Hook LoRA ノードは、モデルに LoRA（低ランク適応）変更 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `HOOKS` | HOOKS | 結合された LoRA フックと以前のフックを含むフックグループ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `HOOKS` | 結合された LoRA フックと以前のフックを含むフックグループ | HOOKS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLora/ja.md) --- **Source fingerprint (SHA-256):** `42d5d776bfc9b239191952e2bce23513d183f904fc3c15039469381a547486f8` diff --git a/ja/built-in-nodes/CreateHookLoraModelOnly.mdx b/ja/built-in-nodes/CreateHookLoraModelOnly.mdx index 509a0d03b..876a17ed4 100644 --- a/ja/built-in-nodes/CreateHookLoraModelOnly.mdx +++ b/ja/built-in-nodes/CreateHookLoraModelOnly.mdx @@ -5,25 +5,25 @@ sidebarTitle: "CreateHookLoraModelOnly" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLoraModelOnly/ja.md) - このドキュメントは AI が生成しました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLoraModelOnly/en.md) このノードは、モデルコンポーネントにのみ適用される LoRA（低ランク適応）フックを作成し、CLIP コンポーネントは完全に変更しません。LoRA ファイルを読み込み、指定された強度でモデルに適用する一方、CLIP の強度はゼロに設定します。このノードは、以前のフックと連鎖させて、複雑な修正パイプラインを構築することができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `lora_name` | STRING | はい | 複数のオプションから選択可能 | loras フォルダから読み込む LoRA ファイルの名前 | -| `strength_model` | FLOAT | はい | -20.0 ～ 20.0 | モデルコンポーネントに LoRA を適用する際の強度倍率（デフォルト：1.0） | -| `prev_hooks` | HOOKS | いいえ | - | このフックと連鎖させるオプションの以前のフック | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `lora_name` | loras フォルダから読み込む LoRA ファイルの名前 | STRING | はい | 複数のオプションから選択可能 | +| `strength_model` | モデルコンポーネントに LoRA を適用する際の強度倍率（デフォルト：1.0） | FLOAT | はい | -20.0 ～ 20.0 | +| `prev_hooks` | このフックと連鎖させるオプションの以前のフック | HOOKS | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `hooks` | HOOKS | 作成された LoRA フック。モデル処理に適用できます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `hooks` | 作成された LoRA フック。モデル処理に適用できます。 | HOOKS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLoraModelOnly/ja.md) --- **Source fingerprint (SHA-256):** `10adbdfc2e37fcf317e93130f87d9a7038d00b091cb6d1b45f4658c81632ef80` diff --git a/ja/built-in-nodes/CreateHookModelAsLora.mdx b/ja/built-in-nodes/CreateHookModelAsLora.mdx index 478f05874..4a7ecb992 100644 --- a/ja/built-in-nodes/CreateHookModelAsLora.mdx +++ b/ja/built-in-nodes/CreateHookModelAsLora.mdx @@ -5,20 +5,18 @@ sidebarTitle: "CreateHookModelAsLora" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLora/ja.md) - 以下が翻訳結果です。 このノードは、チェックポイントの重みを読み込み、モデルとCLIPコンポーネントの両方に強度調整を適用することで、フックモデルをLoRA（低ランク適応）として作成します。フックベースのアプローチを通じて既存のモデルにLoRAスタイルの変更を適用できるため、モデルを恒久的に変更することなく微調整や適応が可能です。このノードは、以前のフックと組み合わせたり、読み込んだ重みをキャッシュして効率化することができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ckpt_name` | STRING | はい | 複数のオプションから選択可能 | 重みを読み込むチェックポイントファイル（利用可能なチェックポイントから選択） | -| `strength_model` | FLOAT | はい | -20.0 ～ 20.0 | モデルの重みに適用される強度倍率（デフォルト：1.0） | -| `strength_clip` | FLOAT | はい | -20.0 ～ 20.0 | CLIPの重みに適用される強度倍率（デフォルト：1.0） | -| `prev_hooks` | HOOKS | いいえ | - | 新しく作成されたLoRAフックと組み合わせるオプションの以前のフック | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ckpt_name` | 重みを読み込むチェックポイントファイル（利用可能なチェックポイントから選択） | STRING | はい | 複数のオプションから選択可能 | +| `strength_model` | モデルの重みに適用される強度倍率（デフォルト：1.0） | FLOAT | はい | -20.0 ～ 20.0 | +| `strength_clip` | CLIPの重みに適用される強度倍率（デフォルト：1.0） | FLOAT | はい | -20.0 ～ 20.0 | +| `prev_hooks` | 新しく作成されたLoRAフックと組み合わせるオプションの以前のフック | HOOKS | いいえ | - | **パラメータの制約：** @@ -29,9 +27,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `HOOKS` | HOOKS | 作成されたLoRAフック。以前のフックが指定された場合はそれらと組み合わされます | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `HOOKS` | 作成されたLoRAフック。以前のフックが指定された場合はそれらと組み合わされます | HOOKS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLora/ja.md) --- **Source fingerprint (SHA-256):** `8c0dd6b2e8e99e1d7dbc864aa802c0713842fb0d4ee018ea5cbedfb7896a770d` diff --git a/ja/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx b/ja/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx index a42a89a17..352f6eca2 100644 --- a/ja/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx +++ b/ja/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx @@ -5,23 +5,23 @@ sidebarTitle: "CreateHookModelAsLoraModelOnly" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLoraModelOnly/ja.md) - このノードは、ニューラルネットワークのモデルコンポーネントのみを変更するためにLoRA（低ランク適応）モデルを適用するフックを作成します。チェックポイントファイルを読み込み、指定された強度でモデルに適用し、CLIPコンポーネントは変更しません。これは、基本となるCreateHookModelAsLoraクラスの機能を拡張した実験的なノードです。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ckpt_name` | STRING | はい | 複数のオプションから選択可能 | LoRAモデルとして読み込むチェックポイントファイル。利用可能なオプションはチェックポイントフォルダの内容によって異なります。 | -| `strength_model` | FLOAT | はい | -20.0 ～ 20.0 | モデルコンポーネントにLoRAを適用する際の強度倍率（デフォルト：1.0） | -| `prev_hooks` | HOOKS | いいえ | - | このフックと連結するオプションの以前のフック | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ckpt_name` | LoRAモデルとして読み込むチェックポイントファイル。利用可能なオプションはチェックポイントフォルダの内容によって異なります。 | STRING | はい | 複数のオプションから選択可能 | +| `strength_model` | モデルコンポーネントにLoRAを適用する際の強度倍率（デフォルト：1.0） | FLOAT | はい | -20.0 ～ 20.0 | +| `prev_hooks` | このフックと連結するオプションの以前のフック | HOOKS | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `hooks` | HOOKS | LoRAモデルの変更を含む作成されたフックグループ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `hooks` | LoRAモデルの変更を含む作成されたフックグループ | HOOKS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLoraModelOnly/ja.md) --- **Source fingerprint (SHA-256):** `adbeaede65aa89d48c59225ca1c8edc4c9394a364f93a00dae4a83a2270f093b` diff --git a/ja/built-in-nodes/CreateList.mdx b/ja/built-in-nodes/CreateList.mdx index 77344ebb8..fd737c59d 100644 --- a/ja/built-in-nodes/CreateList.mdx +++ b/ja/built-in-nodes/CreateList.mdx @@ -5,8 +5,6 @@ sidebarTitle: "CreateList" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateList/ja.md) - 以下は、ご依頼いただいたComfyUIノードドキュメントの日本語翻訳です。 ## 概要 @@ -15,17 +13,19 @@ Create Listノードは、複数の入力を1つのシーケンシャルなリ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `input_*` | 可変 | はい | 任意 | 可変数の入力スロットです。プラス（+）アイコンをクリックして入力を追加できます。すべての入力は同じデータ型（例：すべてIMAGEまたはすべてSTRING）である必要があります。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `input_*` | 可変数の入力スロットです。プラス（+）アイコンをクリックして入力を追加できます。すべての入力は同じデータ型（例：すべてIMAGEまたはすべてSTRING）である必要があります。 | 可変 | はい | 任意 | **注記：** ノードは、アイテムを接続するたびに自動的に新しい入力スロットを作成します。ノードが正しく機能するには、接続されたすべての入力が同じデータ型を共有している必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `list` | 可変 | 接続された入力からのすべてのアイテムを、提供された順序で連結した単一のリストです。出力データ型は入力データ型と一致します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `list` | 接続された入力からのすべてのアイテムを、提供された順序で連結した単一のリストです。出力データ型は入力データ型と一致します。 | 可変 | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateList/ja.md) --- **Source fingerprint (SHA-256):** `d0e10c4d1186e694a72b18407c34cc1df74f77d02c989b507af75594c1a0794e` diff --git a/ja/built-in-nodes/CreateVideo.mdx b/ja/built-in-nodes/CreateVideo.mdx index 07ca526c0..f450eaf09 100644 --- a/ja/built-in-nodes/CreateVideo.mdx +++ b/ja/built-in-nodes/CreateVideo.mdx @@ -5,25 +5,25 @@ sidebarTitle: "CreateVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateVideo/ja.md) - 以下が翻訳結果です。 Create Video ノードは、画像のシーケンスから動画ファイルを生成します。フレームレート（1秒あたりのフレーム数）を使用して再生速度を指定し、必要に応じて動画に音声を追加することもできます。このノードは、指定されたフレームレートで再生可能な動画形式に画像を結合します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 動画を生成する元となる画像です。 | -| `fps` | FLOAT | はい | 1.0 - 120.0 | 動画の再生速度を指定するフレームレート（1秒あたりのフレーム数）です（デフォルト: 30.0）。 | -| `オーディオ` | AUDIO | いいえ | - | 動画に追加する音声です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 動画を生成する元となる画像です。 | IMAGE | はい | - | +| `fps` | 動画の再生速度を指定するフレームレート（1秒あたりのフレーム数）です（デフォルト: 30.0）。 | FLOAT | はい | 1.0 - 120.0 | +| `オーディオ` | 動画に追加する音声です。 | AUDIO | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 入力された画像とオプションの音声を含む、生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力された画像とオプションの音声を含む、生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateVideo/ja.md) --- **Source fingerprint (SHA-256):** `6da9a09542b5e357c0180c30018ec10facf06d1bdd3e4edee8172b8426802e3d` diff --git a/ja/built-in-nodes/CropByBBoxes.mdx b/ja/built-in-nodes/CropByBBoxes.mdx index 2c7062545..dd8f57f9f 100644 --- a/ja/built-in-nodes/CropByBBoxes.mdx +++ b/ja/built-in-nodes/CropByBBoxes.mdx @@ -5,28 +5,28 @@ sidebarTitle: "CropByBBoxes" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropByBBoxes/ja.md) - CropByBBoxes ノードは、入力画像バッチから特定の矩形領域を抽出し、リサイズします。提供されたバウンディングボックスの座標を使用して、各画像から切り取る領域を定義します。切り取られた領域は、指定された出力サイズにリサイズされ、切り抜きを引き伸ばすか、元のアスペクト比を維持するためにパディングするかを選択できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 切り抜き処理を行う入力画像バッチです。 | -| `バウンディングボックス` | BOUNDINGBOX | はい | - | 切り抜く領域を定義するバウンディングボックスのリストです。この入力は強制接続であり、必ず接続する必要があります。 | -| `出力幅` | INT | いいえ | 64 - 4096 | 各切り抜き画像のリサイズ後の幅です（デフォルト：512）。 | -| `出力高さ` | INT | いいえ | 64 - 4096 | 各切り抜き画像のリサイズ後の高さです（デフォルト：512）。 | -| `パディング` | INT | いいえ | 0 - 1024 | 切り抜き前にバウンディングボックスの各辺に追加するパディング（ピクセル単位）です（デフォルト：0）。 | -| `keep_aspect` | COMBO | いいえ | `"stretch"`
`"pad"` | 切り抜きを出力サイズに合わせて引き伸ばすか、アスペクト比を維持するために黒ピクセルでパディングするかを指定します（デフォルト："stretch"）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 切り抜き処理を行う入力画像バッチです。 | IMAGE | はい | - | +| `バウンディングボックス` | 切り抜く領域を定義するバウンディングボックスのリストです。この入力は強制接続であり、必ず接続する必要があります。 | BOUNDINGBOX | はい | - | +| `出力幅` | 各切り抜き画像のリサイズ後の幅です（デフォルト：512）。 | INT | いいえ | 64 - 4096 | +| `出力高さ` | 各切り抜き画像のリサイズ後の高さです（デフォルト：512）。 | INT | いいえ | 64 - 4096 | +| `パディング` | 切り抜き前にバウンディングボックスの各辺に追加するパディング（ピクセル単位）です（デフォルト：0）。 | INT | いいえ | 0 - 1024 | +| `keep_aspect` | 切り抜きを出力サイズに合わせて引き伸ばすか、アスペクト比を維持するために黒ピクセルでパディングするかを指定します（デフォルト："stretch"）。 | COMBO | いいえ | `"stretch"`
`"pad"` | **注記：** このノードは一度に1つの画像フレームを処理します。1つのフレームに複数のバウンディングボックスが指定された場合、すべてのボックスを含む最小の矩形（すべてのボックスの和集合）である単一の切り抜き領域を計算します。計算された切り抜き領域が無効な場合（幅または高さがゼロなど）、ノードは画像の中央上部からフォールバック切り抜きを作成します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | すべての切り抜きおよびリサイズされた領域が、1つの画像バッチにスタックされたものです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | すべての切り抜きおよびリサイズされた領域が、1つの画像バッチにスタックされたものです。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropByBBoxes/ja.md) --- **Source fingerprint (SHA-256):** `9c0b3078405567911731c42e1873c57c77363e21ef6805769730667c811b0a0b` diff --git a/ja/built-in-nodes/CropMask.mdx b/ja/built-in-nodes/CropMask.mdx index 86ea82606..110a43f22 100644 --- a/ja/built-in-nodes/CropMask.mdx +++ b/ja/built-in-nodes/CropMask.mdx @@ -5,22 +5,22 @@ sidebarTitle: "CropMask" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropMask/ja.md) - CropMaskノードは、指定されたマスクから特定の領域を切り抜くために設計されています。ユーザーは座標と寸法を指定して関心領域を定義し、マスクの一部を抽出してさらなる処理や分析に使用できます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `マスク` | MASK | マスク入力は、切り抜き対象のマスク画像を表します。指定された座標と寸法に基づいて抽出する領域を定義するために不可欠です。 | -| `x` | INT | x座標は、切り抜きを開始する水平軸上の開始点を指定します。 | -| `y` | INT | y座標は、切り抜き操作の垂直軸上の開始点を決定します。 | -| `幅` | INT | 幅は、開始点からの切り抜き領域の水平方向の範囲を定義します。 | -| `高さ` | INT | 高さは、開始点からの切り抜き領域の垂直方向の範囲を指定します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `マスク` | マスク入力は、切り抜き対象のマスク画像を表します。指定された座標と寸法に基づいて抽出する領域を定義するために不可欠です。 | MASK | +| `x` | x座標は、切り抜きを開始する水平軸上の開始点を指定します。 | INT | +| `y` | y座標は、切り抜き操作の垂直軸上の開始点を決定します。 | INT | +| `幅` | 幅は、開始点からの切り抜き領域の水平方向の範囲を定義します。 | INT | +| `高さ` | 高さは、開始点からの切り抜き領域の垂直方向の範囲を指定します。 | INT | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `マスク` | MASK | 出力は切り抜かれたマスクであり、指定された座標と寸法によって定義された元のマスクの一部です。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `マスク` | 出力は切り抜かれたマスクであり、指定された座標と寸法によって定義された元のマスクの一部です。 | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropMask/ja.md) diff --git a/ja/built-in-nodes/CurveEditor.mdx b/ja/built-in-nodes/CurveEditor.mdx index 67907d015..78a8a1eda 100644 --- a/ja/built-in-nodes/CurveEditor.mdx +++ b/ja/built-in-nodes/CurveEditor.mdx @@ -5,22 +5,22 @@ sidebarTitle: "CurveEditor" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CurveEditor/ja.md) - Curve Editorノードは、カーブの調整と微調整を行うためのビジュアルインターフェースを提供します。入力されたカーブの形状を変更したり、オプションでヒストグラムを表示して分布を可視化したりすることができます。このノードは、ワークフローの他の部分で使用するために、修正されたカーブを出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `カーブ` | CURVE | はい | N/A | 編集対象の入力カーブ。 | -| `ヒストグラム` | HISTOGRAM | いいえ | N/A | カーブと一緒に表示するオプションのヒストグラム。視覚的な参考用です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `カーブ` | 編集対象の入力カーブ。 | CURVE | はい | N/A | +| `ヒストグラム` | カーブと一緒に表示するオプションのヒストグラム。視覚的な参考用です。 | HISTOGRAM | いいえ | N/A | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `カーブ` | CURVE | ノードのインターフェースで調整を行った後の編集済みカーブ。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `カーブ` | ノードのインターフェースで調整を行った後の編集済みカーブ。 | CURVE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CurveEditor/ja.md) --- **Source fingerprint (SHA-256):** `34cf36a5b934c44ebfce0b81e7c515f1b31fb17f3b7e1ad52255d1d72f68240b` diff --git a/ja/built-in-nodes/CustomCombo.mdx b/ja/built-in-nodes/CustomCombo.mdx index 034096882..005a7baad 100644 --- a/ja/built-in-nodes/CustomCombo.mdx +++ b/ja/built-in-nodes/CustomCombo.mdx @@ -5,8 +5,6 @@ sidebarTitle: "CustomCombo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CustomCombo/ja.md) - 以下が翻訳です。 ## 概要 @@ -15,19 +13,21 @@ Custom Combo ノードを使用すると、独自のテキストオプション ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `選択` | COMBO | はい | ユーザー定義 | カスタムドロップダウンから選択されたテキストオプション。利用可能なオプションのリストは、ノードのフロントエンドインターフェースでユーザーが定義します。 | -| `index` | INT | いいえ | 0 | インデックスを指定するために使用できる整数値。デフォルト: 0。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `選択` | カスタムドロップダウンから選択されたテキストオプション。利用可能なオプションのリストは、ノードのフロントエンドインターフェースでユーザーが定義します。 | COMBO | はい | ユーザー定義 | +| `index` | インデックスを指定するために使用できる整数値。デフォルト: 0。 | INT | いいえ | 0 | **注記:** このノードの入力に対するバリデーションは意図的に無効化されています。これにより、バックエンドが選択内容が事前定義リストからのものであるかどうかをチェックすることなく、フロントエンドで任意のカスタムテキストオプションを自由に定義できます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `インデックス` | STRING | カスタムコンボボックスから選択されたオプションのテキスト文字列。 | -| `INDEX` | INT | ドロップダウンリスト内で選択されたオプションのインデックス位置。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `インデックス` | カスタムコンボボックスから選択されたオプションのテキスト文字列。 | STRING | +| `INDEX` | ドロップダウンリスト内で選択されたオプションのインデックス位置。 | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CustomCombo/ja.md) --- **Source fingerprint (SHA-256):** `d950207b94deee37abce294eb3dab035e622925dc1118fe37f9c874784dc1672` diff --git a/ja/built-in-nodes/DCTestNode.mdx b/ja/built-in-nodes/DCTestNode.mdx index 90024b33c..35d9f4608 100644 --- a/ja/built-in-nodes/DCTestNode.mdx +++ b/ja/built-in-nodes/DCTestNode.mdx @@ -5,24 +5,22 @@ sidebarTitle: "DCTestNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DCTestNode/ja.md) - 以下が翻訳結果です。 DCTestNodeは、動的コンボボックスでのユーザーの選択に基づいて異なるタイプのデータを返すロジックノードです。これは条件付きルーターとして機能し、選択されたオプションによって、どの入力フィールドがアクティブになり、ノードがどのタイプの値を出力するかが決まります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `combo` | COMBO | はい | `"option1"`
`"option2"`
`"option3"`
`"option4"` | どの入力フィールドをアクティブにし、ノードが何を出力するかを決定する主要な選択項目です。 | -| `string` | STRING | いいえ | - | テキスト入力フィールドです。このフィールドは、`combo`が`"option1"`に設定されている場合のみアクティブになり、必須となります。 | -| `integer` | INT | いいえ | - | 整数入力フィールドです。このフィールドは、`combo`が`"option2"`に設定されている場合のみアクティブになり、必須となります。 | -| `image` | IMAGE | いいえ | - | 画像入力フィールドです。このフィールドは、`combo`が`"option3"`に設定されている場合のみアクティブになり、必須となります。 | -| `subcombo` | COMBO | いいえ | `"opt1"`
`"opt2"` | `combo`が`"option4"`に設定されている場合に表示される二次的な選択項目です。どのネストされた入力フィールドがアクティブになるかを決定します。 | -| `float_x` | FLOAT | いいえ | - | 小数入力フィールドです。このフィールドは、`combo`が`"option4"`かつ`subcombo`が`"opt1"`に設定されている場合のみアクティブになり、必須となります。 | -| `float_y` | FLOAT | いいえ | - | 小数入力フィールドです。このフィールドは、`combo`が`"option4"`かつ`subcombo`が`"opt1"`に設定されている場合のみアクティブになり、必須となります。 | -| `mask1` | MASK | いいえ | - | マスク入力フィールドです。このフィールドは、`combo`が`"option4"`かつ`subcombo`が`"opt2"`に設定されている場合のみアクティブになります。このフィールドはオプションです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `combo` | どの入力フィールドをアクティブにし、ノードが何を出力するかを決定する主要な選択項目です。 | COMBO | はい | `"option1"`
`"option2"`
`"option3"`
`"option4"` | +| `string` | テキスト入力フィールドです。このフィールドは、`combo`が`"option1"`に設定されている場合のみアクティブになり、必須となります。 | STRING | いいえ | - | +| `integer` | 整数入力フィールドです。このフィールドは、`combo`が`"option2"`に設定されている場合のみアクティブになり、必須となります。 | INT | いいえ | - | +| `image` | 画像入力フィールドです。このフィールドは、`combo`が`"option3"`に設定されている場合のみアクティブになり、必須となります。 | IMAGE | いいえ | - | +| `subcombo` | `combo`が`"option4"`に設定されている場合に表示される二次的な選択項目です。どのネストされた入力フィールドがアクティブになるかを決定します。 | COMBO | いいえ | `"opt1"`
`"opt2"` | +| `float_x` | 小数入力フィールドです。このフィールドは、`combo`が`"option4"`かつ`subcombo`が`"opt1"`に設定されている場合のみアクティブになり、必須となります。 | FLOAT | いいえ | - | +| `float_y` | 小数入力フィールドです。このフィールドは、`combo`が`"option4"`かつ`subcombo`が`"opt1"`に設定されている場合のみアクティブになり、必須となります。 | FLOAT | いいえ | - | +| `mask1` | マスク入力フィールドです。このフィールドは、`combo`が`"option4"`かつ`subcombo`が`"opt2"`に設定されている場合のみアクティブになります。このフィールドはオプションです。 | MASK | いいえ | - | **パラメータの制約:** @@ -31,9 +29,11 @@ DCTestNodeは、動的コンボボックスでのユーザーの選択に基づ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | ANYTYPE | 出力は選択された`combo`オプションに依存します。STRING（`"option1"`）、INT（`"option2"`）、IMAGE（`"option3"`）、または`subcombo`辞書の文字列表現（`"option4"`）のいずれかになります。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 出力は選択された`combo`オプションに依存します。STRING（`"option1"`）、INT（`"option2"`）、IMAGE（`"option3"`）、または`subcombo`辞書の文字列表現（`"option4"`）のいずれかになります。 | ANYTYPE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DCTestNode/ja.md) --- **Source fingerprint (SHA-256):** `98c4ca2100a27594df360935cc1507960480fe75a76ca0df2af75925d399be00` diff --git a/ja/built-in-nodes/DeprecatedCheckpointLoader.mdx b/ja/built-in-nodes/DeprecatedCheckpointLoader.mdx index 39b975866..5dfeb00db 100644 --- a/ja/built-in-nodes/DeprecatedCheckpointLoader.mdx +++ b/ja/built-in-nodes/DeprecatedCheckpointLoader.mdx @@ -5,21 +5,21 @@ sidebarTitle: "DeprecatedCheckpointLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DeprecatedCheckpointLoader/ja.md) - CheckpointLoaderノードは、高度な読み込み操作、具体的にはモデルチェックポイントとその設定を読み込むために設計されています。このノードは、指定されたディレクトリから設定やチェックポイントを含む、生成モデルの初期化と実行に必要なモデルコンポーネントの取得を容易にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|--------------|--------------|-------------| -| `config_name` | COMBO[STRING] | 使用する設定ファイルの名前を指定します。これはモデルのパラメータと設定を決定するために重要であり、モデルの動作とパフォーマンスに影響を与えます。 | -| `ckpt_name` | COMBO[STRING] | 読み込むチェックポイントファイルの名前を示します。これは初期化されるモデルの状態に直接影響し、その初期の重みとバイアスに影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `config_name` | 使用する設定ファイルの名前を指定します。これはモデルのパラメータと設定を決定するために重要であり、モデルの動作とパフォーマンスに影響を与えます。 | COMBO[STRING] | +| `ckpt_name` | 読み込むチェックポイントファイルの名前を示します。これは初期化されるモデルの状態に直接影響し、その初期の重みとバイアスに影響を与えます。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `model` | MODEL | チェックポイントから読み込まれた主要なモデルを表し、さらなる操作や推論の準備ができています。 | -| `clip` | CLIP | 利用可能で要求された場合に、チェックポイントから読み込まれたCLIPモデルコンポーネントを提供します。 | -| `vae` | VAE | 利用可能で要求された場合に、チェックポイントから読み込まれたVAEモデルコンポーネントを提供します。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `model` | チェックポイントから読み込まれた主要なモデルを表し、さらなる操作や推論の準備ができています。 | MODEL | +| `clip` | 利用可能で要求された場合に、チェックポイントから読み込まれたCLIPモデルコンポーネントを提供します。 | CLIP | +| `vae` | 利用可能で要求された場合に、チェックポイントから読み込まれたVAEモデルコンポーネントを提供します。 | VAE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DeprecatedCheckpointLoader/ja.md) diff --git a/ja/built-in-nodes/DeprecatedDiffusersLoader.mdx b/ja/built-in-nodes/DeprecatedDiffusersLoader.mdx index 45a0e3cb1..718b2116e 100644 --- a/ja/built-in-nodes/DeprecatedDiffusersLoader.mdx +++ b/ja/built-in-nodes/DeprecatedDiffusersLoader.mdx @@ -5,20 +5,20 @@ sidebarTitle: "DeprecatedDiffusersLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DeprecatedDiffusersLoader/ja.md) - DiffusersLoaderノードは、diffusersライブラリからモデルを読み込むために設計されており、指定されたモデルパスに基づいてUNet、CLIP、VAEモデルの読み込みを処理します。このノードは、これらのモデルをComfyUIフレームワークに統合し、テキストから画像への生成、画像操作などの高度な機能を実現します。 ## 入力 -| パラメータ | データ型 | 説明 | -|--------------|--------------|-------------| -| `model_path` | COMBO[STRING] | 読み込むモデルへのパスを指定します。このパスは、後続の処理で使用するモデルを決定するため重要であり、ノードの出力と機能に影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `model_path` | 読み込むモデルへのパスを指定します。このパスは、後続の処理で使用するモデルを決定するため重要であり、ノードの出力と機能に影響を与えます。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `model` | MODEL | 読み込まれたUNetモデルで、出力タプルの一部です。このモデルは、ComfyUIフレームワーク内での画像合成や操作タスクに不可欠です。 | -| `clip` | CLIP | 読み込まれたCLIPモデルで、要求された場合に出力タプルに含まれます。このモデルにより、高度なテキストと画像の理解および操作機能が可能になります。 | -| `vae` | VAE | 読み込まれたVAEモデルで、要求された場合に出力タプルに含まれます。このモデルは、潜在空間の操作や画像生成を伴うタスクに不可欠です。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `model` | 読み込まれたUNetモデルで、出力タプルの一部です。このモデルは、ComfyUIフレームワーク内での画像合成や操作タスクに不可欠です。 | MODEL | +| `clip` | 読み込まれたCLIPモデルで、要求された場合に出力タプルに含まれます。このモデルにより、高度なテキストと画像の理解および操作機能が可能になります。 | CLIP | +| `vae` | 読み込まれたVAEモデルで、要求された場合に出力タプルに含まれます。このモデルは、潜在空間の操作や画像生成を伴うタスクに不可欠です。 | VAE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DeprecatedDiffusersLoader/ja.md) diff --git a/ja/built-in-nodes/DiffControlNetLoader.mdx b/ja/built-in-nodes/DiffControlNetLoader.mdx index 054f8065c..6586731c9 100644 --- a/ja/built-in-nodes/DiffControlNetLoader.mdx +++ b/ja/built-in-nodes/DiffControlNetLoader.mdx @@ -5,21 +5,21 @@ sidebarTitle: "DiffControlNetLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffControlNetLoader/ja.md) - このノードは、`ComfyUI/models/controlnet` フォルダ内のモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パスからもモデルを読み取ります。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み取らせる必要があります。 DiffControlNetLoader ノードは、差分制御ネットワークを読み込むために設計されています。これは、制御ネットの仕様に基づいて別のモデルの動作を変更できる特殊なモデルです。このノードを使用すると、差分制御ネットを適用することでモデルの動作を動的に調整し、カスタマイズされたモデル出力の作成を容易にします。 ## 入力 -| フィールド | Comfy データ型 | 説明 | -|----------------------|-------------------|-----------------------------------------------------------------------------------------| -| `モデル` | `MODEL` | 差分制御ネットが適用されるベースモデルです。モデルの動作をカスタマイズできます。 | -| `control_net_name` | `COMBO[STRING]` | 読み込んでベースモデルに適用する特定の差分制御ネットを識別します。動作を変更するために使用されます。 | +| フィールド | 説明 | Comfy データ型 | +| --- | --- | --- | +| `モデル` | 差分制御ネットが適用されるベースモデルです。モデルの動作をカスタマイズできます。 | `MODEL` | +| `control_net_name` | 読み込んでベースモデルに適用する特定の差分制御ネットを識別します。動作を変更するために使用されます。 | `COMBO[STRING]` | ## 出力 -| フィールド | Comfy データ型 | 説明 | -|------------------|-------------------|---------------------------------------------------------------------------------------| -| `control_net` | `CONTROL_NET` | 読み込まれ、ベースモデルに適用可能な状態の差分制御ネットです。動作変更のために使用できます。 | \ No newline at end of file +| フィールド | 説明 | Comfy データ型 | +| --- | --- | --- | +| `control_net` | 読み込まれ、ベースモデルに適用可能な状態の差分制御ネットです。動作変更のために使用できます。 | `CONTROL_NET` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffControlNetLoader/ja.md) diff --git a/ja/built-in-nodes/DifferentialDiffusion.mdx b/ja/built-in-nodes/DifferentialDiffusion.mdx index e6dab7c71..d7aeb43d0 100644 --- a/ja/built-in-nodes/DifferentialDiffusion.mdx +++ b/ja/built-in-nodes/DifferentialDiffusion.mdx @@ -5,24 +5,24 @@ sidebarTitle: "DifferentialDiffusion" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DifferentialDiffusion/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がございましたら、ぜひご協力ください。[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DifferentialDiffusion/en.md) Differential Diffusionノードは、タイムステップのしきい値に基づいてバイナリマスクを適用することで、ノイズ除去プロセスを変更します。このノードは、元のノイズ除去マスクとしきい値ベースのバイナリマスクをブレンドするマスクを作成し、拡散プロセスの強度を制御調整できるようにします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | 変更する拡散モデル | -| `strength` | FLOAT | いいえ | 0.0 - 1.0 | 元のノイズ除去マスクとバイナリしきい値マスクの間のブレンド強度を制御します（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 変更する拡散モデル | MODEL | はい | - | +| `strength` | 元のノイズ除去マスクとバイナリしきい値マスクの間のブレンド強度を制御します（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 更新されたノイズ除去マスク関数を持つ、変更済みの拡散モデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 更新されたノイズ除去マスク関数を持つ、変更済みの拡散モデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DifferentialDiffusion/ja.md) --- **Source fingerprint (SHA-256):** `3b1727baa6c546516f5dfb53e6e39f27fc7429cde2ac7fd7dfbab99eebb39816` diff --git a/ja/built-in-nodes/DiffusersLoader.mdx b/ja/built-in-nodes/DiffusersLoader.mdx index 631c56749..6e8914649 100644 --- a/ja/built-in-nodes/DiffusersLoader.mdx +++ b/ja/built-in-nodes/DiffusersLoader.mdx @@ -5,23 +5,23 @@ sidebarTitle: "DiffusersLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffusersLoader/ja.md) - DiffusersLoaderノードは、diffusers形式の事前学習済みモデルを読み込みます。`model_index.json`ファイルを含む有効なdiffusersモデルディレクトリを検索し、パイプラインで使用するためにMODEL、CLIP、VAEコンポーネントとして読み込みます。このノードは非推奨のローダーカテゴリに属し、Hugging Face diffusersモデルとの互換性を提供します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデルパス` | STRING | はい | 複数のオプションが利用可能
（diffusersフォルダから自動入力） | 読み込むdiffusersモデルディレクトリへのパス。ノードは設定されたdiffusersフォルダ内の有効なdiffusersモデルを自動的にスキャンし、利用可能なオプションを一覧表示します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデルパス` | 読み込むdiffusersモデルディレクトリへのパス。ノードは設定されたdiffusersフォルダ内の有効なdiffusersモデルを自動的にスキャンし、利用可能なオプションを一覧表示します。 | STRING | はい | 複数のオプションが利用可能
（diffusersフォルダから自動入力） | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MODEL` | MODEL | diffusers形式から読み込まれたモデルコンポーネント | -| `CLIP` | CLIP | diffusers形式から読み込まれたCLIPモデルコンポーネント | -| `VAE` | VAE | diffusers形式から読み込まれたVAE（変分オートエンコーダ）コンポーネント | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MODEL` | diffusers形式から読み込まれたモデルコンポーネント | MODEL | +| `CLIP` | diffusers形式から読み込まれたCLIPモデルコンポーネント | CLIP | +| `VAE` | diffusers形式から読み込まれたVAE（変分オートエンコーダ）コンポーネント | VAE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffusersLoader/ja.md) --- **Source fingerprint (SHA-256):** `59be9923ed76d4859d5f7217a802c43297cb5af3d895eb6713edea97a32c3db2` diff --git a/ja/built-in-nodes/DisableNoise.mdx b/ja/built-in-nodes/DisableNoise.mdx index 03483bd94..760fec969 100644 --- a/ja/built-in-nodes/DisableNoise.mdx +++ b/ja/built-in-nodes/DisableNoise.mdx @@ -5,21 +5,21 @@ sidebarTitle: "DisableNoise" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DisableNoise/ja.md) - DisableNoise ノードは、サンプリング処理におけるノイズ生成を無効化するための空のノイズ設定を提供します。このノードはノイズデータを含まない特殊なノイズオブジェクトを返すため、この出力に接続された他のノードはノイズ関連の処理をスキップできるようになります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| *入力パラメータなし* | - | - | - | このノードは入力パラメータを必要としません。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| *入力パラメータなし* | このノードは入力パラメータを必要としません。 | - | - | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `NOISE` | NOISE | サンプリング処理におけるノイズ生成を無効化するための空のノイズ設定を返します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `NOISE` | サンプリング処理におけるノイズ生成を無効化するための空のノイズ設定を返します。 | NOISE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DisableNoise/ja.md) --- **Source fingerprint (SHA-256):** `527152dff69bd5c55c622c634b87e625eb16708f8595fa02d69cf38f1125c5eb` diff --git a/ja/built-in-nodes/DrawBBoxes.mdx b/ja/built-in-nodes/DrawBBoxes.mdx index 49735de20..7aa7124b7 100644 --- a/ja/built-in-nodes/DrawBBoxes.mdx +++ b/ja/built-in-nodes/DrawBBoxes.mdx @@ -5,16 +5,14 @@ sidebarTitle: "DrawBBoxes" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DrawBBoxes/ja.md) - DrawBBoxes ノードは、画像上にバウンディングボックス、ラベル、信頼度スコアを描画することで、物体検出結果を可視化します。入力画像が提供されない場合は、描画するすべてのボックスを収容できる十分な大きさの空白キャンバスを作成します。バッチ処理に対応しており、複数の画像に対して異なる検出結果を描画したり、バッチ全体で同じ検出結果を繰り返し描画することができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | いいえ | - | バウンディングボックスを描画する入力画像です。提供されない場合は、空白のキャンバスが生成されます。 | -| `bboxes` | BOUNDINGBOX | はい | - | バウンディングボックス辞書のリストです。各辞書には `x`、`y`、`width`、`height` のキーが必須で、オプションで `label` と `score` のキーを含めることができます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | バウンディングボックスを描画する入力画像です。提供されない場合は、空白のキャンバスが生成されます。 | IMAGE | いいえ | - | +| `bboxes` | バウンディングボックス辞書のリストです。各辞書には `x`、`y`、`width`、`height` のキーが必須で、オプションで `label` と `score` のキーを含めることができます。 | BOUNDINGBOX | はい | - | **入力制約：** * `bboxes` 入力は必須であり、提供する必要があります。 @@ -23,9 +21,11 @@ DrawBBoxes ノードは、画像上にバウンディングボックス、ラベ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `out_image` | IMAGE | 描画されたバウンディングボックス、ラベル、信頼度スコアが重ねられた出力画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `out_image` | 描画されたバウンディングボックス、ラベル、信頼度スコアが重ねられた出力画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DrawBBoxes/ja.md) --- **Source fingerprint (SHA-256):** `436fbd3de0d5e09ca07b099a32c9b9482a8006459dc8635e066ffa82f6c755df` diff --git a/ja/built-in-nodes/DualCFGGuider.mdx b/ja/built-in-nodes/DualCFGGuider.mdx index 9b0fb49f2..4b0cf11a1 100644 --- a/ja/built-in-nodes/DualCFGGuider.mdx +++ b/ja/built-in-nodes/DualCFGGuider.mdx @@ -5,27 +5,27 @@ sidebarTitle: "DualCFGGuider" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCFGGuider/ja.md) - {DualCFGGuider}ノードは、デュアル分類器不要ガイダンス（Dual Classifier-Free Guidance）サンプリングのためのガイダンスシステムを作成します。2つのポジティブ条件付け入力と1つのネガティブ条件付け入力を組み合わせ、各条件付けペアに異なるガイダンススケールを適用することで、生成出力に対する各プロンプトの影響を制御します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | ガイダンスに使用するモデル | -| `cond1` | CONDITIONING | はい | - | 1つ目のポジティブ条件付け入力 | -| `cond2` | CONDITIONING | はい | - | 2つ目のポジティブ条件付け入力 | -| `ネガティブ` | CONDITIONING | はい | - | ネガティブ条件付け入力 | -| `cfg_conds` | FLOAT | はい | 0.0 - 100.0 | 1つ目のポジティブ条件付けに対するガイダンススケール（デフォルト：8.0） | -| `cfg_cond2_negative` | FLOAT | はい | 0.0 - 100.0 | 2つ目のポジティブ条件付けとネガティブ条件付けに対するガイダンススケール（デフォルト：8.0） | -| `style` | COMBO | はい | "regular"
"nested" | 適用するガイダンススタイル（デフォルト："regular"）。"nested"に設定すると、ガイダンスが入れ子状に適用されます | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | ガイダンスに使用するモデル | MODEL | はい | - | +| `cond1` | 1つ目のポジティブ条件付け入力 | CONDITIONING | はい | - | +| `cond2` | 2つ目のポジティブ条件付け入力 | CONDITIONING | はい | - | +| `ネガティブ` | ネガティブ条件付け入力 | CONDITIONING | はい | - | +| `cfg_conds` | 1つ目のポジティブ条件付けに対するガイダンススケール（デフォルト：8.0） | FLOAT | はい | 0.0 - 100.0 | +| `cfg_cond2_negative` | 2つ目のポジティブ条件付けとネガティブ条件付けに対するガイダンススケール（デフォルト：8.0） | FLOAT | はい | 0.0 - 100.0 | +| `style` | 適用するガイダンススタイル（デフォルト："regular"）。"nested"に設定すると、ガイダンスが入れ子状に適用されます | COMBO | はい | "regular"
"nested" | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `GUIDER` | GUIDER | サンプリングで使用できる設定済みのガイダンスシステム | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `GUIDER` | サンプリングで使用できる設定済みのガイダンスシステム | GUIDER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCFGGuider/ja.md) --- **Source fingerprint (SHA-256):** `802e07f2e64dc2d55e86290db7e94dffd46079a9180480a560035d0bb6350325` diff --git a/ja/built-in-nodes/DualCLIPLoader.mdx b/ja/built-in-nodes/DualCLIPLoader.mdx index 33df62db8..03e8fa86d 100644 --- a/ja/built-in-nodes/DualCLIPLoader.mdx +++ b/ja/built-in-nodes/DualCLIPLoader.mdx @@ -5,24 +5,24 @@ sidebarTitle: "DualCLIPLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCLIPLoader/ja.md) - DualCLIPLoader ノードは、2つのCLIPモデルを同時に読み込むために設計されており、両方のモデルからの特徴量の統合や比較を必要とする操作を容易にします。 このノードは、`ComfyUI/models/text_encoders` フォルダ内にあるモデルを検出します。 ## 入力 -| パラメータ | Comfy データ型 | 説明 | -| ------------ | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| `clip_name1` | COMBO[STRING] | 読み込む最初のCLIPモデルの名前を指定します。このパラメータは、利用可能なCLIPモデルの定義済みリストから正しいモデルを識別して取得するために重要です。 | -| `clip_name2` | COMBO[STRING] | 読み込む2番目のCLIPモデルの名前を指定します。このパラメータにより、最初のモデルと比較または統合分析を行うための、別個の2番目のCLIPモデルを読み込むことが可能になります。 | -| `タイプ` | `option` | "sdxl"、"sd3"、"flux" から選択し、異なるモデルに適応します。 | +| パラメータ | 説明 | Comfy データ型 | +| --- | --- | --- | +| `clip_name1` | 読み込む最初のCLIPモデルの名前を指定します。このパラメータは、利用可能なCLIPモデルの定義済みリストから正しいモデルを識別して取得するために重要です。 | COMBO[STRING] | +| `clip_name2` | 読み込む2番目のCLIPモデルの名前を指定します。このパラメータにより、最初のモデルと比較または統合分析を行うための、別個の2番目のCLIPモデルを読み込むことが可能になります。 | COMBO[STRING] | +| `タイプ` | "sdxl"、"sd3"、"flux" から選択し、異なるモデルに適応します。 | `option` | * 読み込みの順序は出力結果に影響しません ## 出力 -| パラメータ | データ型 | 説明 | -| --------- | ----------- | ------------------------------------------------------------------------------------------------------------------ | -| `clip` | CLIP | 出力は、指定された2つのCLIPモデルの特徴量または機能を統合した、結合されたCLIPモデルです。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `clip` | 出力は、指定された2つのCLIPモデルの特徴量または機能を統合した、結合されたCLIPモデルです。 | CLIP | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCLIPLoader/ja.md) diff --git a/ja/built-in-nodes/DualModelGuider.mdx b/ja/built-in-nodes/DualModelGuider.mdx new file mode 100644 index 000000000..dd5d89d13 --- /dev/null +++ b/ja/built-in-nodes/DualModelGuider.mdx @@ -0,0 +1,31 @@ +--- +title: "DualModelGuider - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DualModelGuider node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DualModelGuider" +icon: "circle" +mode: wide +--- +# デュアルモデルCFGガイダー + +このノードを使用すると、ガイド付きCFGサンプリングプロセス中に2つの異なるモデルを使用できます。ポジティブ（条件付き）パスには1つのモデル、ネガティブ（無条件）パスには別のモデルを使用します。ネガティブモデルが指定されていない場合は、単一モデルを使用する標準のCFGガイダーとして動作します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `model` | ポジティブ（条件付き）パスに使用するモデル | MODEL | はい | | +| `model_negative` | ネガティブ（無条件）パスに使用するモデル。通常のCFGには同じモデルを使用します | MODEL | いいえ | | +| `ポジティブ` | ポジティブな条件付け入力 | CONDITIONING | はい | | +| `cfg` | CFGスケール値（デフォルト: 4.0） | FLOAT | はい | 0.0～100.0（ステップ: 0.1） | +| `ネガティブ` | ネガティブモデルで実行するネガティブ条件付け。未接続の場合は、テキストなし（画像のみ）の無条件パスとして動作します | CONDITIONING | いいえ | | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `GUIDER` | サンプリングで使用するために、指定されたモデルと条件付けで構成されたガイダーオブジェクト | GUIDER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualModelGuider/ja.md) + +--- +**Source fingerprint (SHA-256):** `a60803156e98d2ffe975d39922dfbeacafd1a2155d88dd2e285ac1426a1e7a33` diff --git a/ja/built-in-nodes/EasyCache.mdx b/ja/built-in-nodes/EasyCache.mdx index 24253c2b0..ecbb3bf48 100644 --- a/ja/built-in-nodes/EasyCache.mdx +++ b/ja/built-in-nodes/EasyCache.mdx @@ -5,25 +5,25 @@ sidebarTitle: "EasyCache" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EasyCache/ja.md) - EasyCache ノードは、モデル用のネイティブキャッシュシステムを実装し、サンプリングプロセス中に以前計算したステップを再利用することでパフォーマンスを向上させます。サンプリングのタイムラインにおいて、キャッシュの使用を開始および停止するタイミングを設定可能な閾値とともに、モデルに EasyCache 機能を追加します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | EasyCache を追加するモデル。 | -| `reuse_threshold` | FLOAT | いいえ | 0.0 - 3.0 | キャッシュされたステップを再利用するための閾値（デフォルト: 0.2）。 | -| `start_percent` | FLOAT | いいえ | 0.0 - 1.0 | EasyCache の使用を開始する相対的なサンプリングステップ（デフォルト: 0.15）。 | -| `end_percent` | FLOAT | いいえ | 0.0 - 1.0 | EasyCache の使用を終了する相対的なサンプリングステップ（デフォルト: 0.95）。 | -| `verbose` | BOOLEAN | いいえ | - | 詳細情報をログに出力するかどうか（デフォルト: False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | EasyCache を追加するモデル。 | MODEL | はい | - | +| `reuse_threshold` | キャッシュされたステップを再利用するための閾値（デフォルト: 0.2）。 | FLOAT | いいえ | 0.0 - 3.0 | +| `start_percent` | EasyCache の使用を開始する相対的なサンプリングステップ（デフォルト: 0.15）。 | FLOAT | いいえ | 0.0 - 1.0 | +| `end_percent` | EasyCache の使用を終了する相対的なサンプリングステップ（デフォルト: 0.95）。 | FLOAT | いいえ | 0.0 - 1.0 | +| `verbose` | 詳細情報をログに出力するかどうか（デフォルト: False）。 | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | EasyCache 機能が追加されたモデル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | EasyCache 機能が追加されたモデル。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EasyCache/ja.md) --- **Source fingerprint (SHA-256):** `e9d9bf5ecae8034b562f1a27acf528d1f3241d7d28621beba149d3e9bd66a247` diff --git a/ja/built-in-nodes/ElevenLabsAudioIsolation.mdx b/ja/built-in-nodes/ElevenLabsAudioIsolation.mdx index 5a09cb7bc..a70795b50 100644 --- a/ja/built-in-nodes/ElevenLabsAudioIsolation.mdx +++ b/ja/built-in-nodes/ElevenLabsAudioIsolation.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ElevenLabsAudioIsolation" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/ja.md) - 以下が翻訳結果です。 ElevenLabs Voice Isolationノードは、オーディオファイルから背景ノイズを除去し、ボーカルや音声を分離します。このノードはオーディオをElevenLabs APIに送信して処理し、クリーンなオーディオを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `音声` | AUDIO | はい | | 背景ノイズ除去のために処理するオーディオ。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `音声` | 背景ノイズ除去のために処理するオーディオ。 | AUDIO | はい | | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `音声` | AUDIO | 背景ノイズが除去された処理済みオーディオ。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `音声` | 背景ノイズが除去された処理済みオーディオ。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/ja.md) --- **Source fingerprint (SHA-256):** `eca7919ff853fe48f8419a4135a99589e350d3d113631e27f6e7cb3cbb3faa3b` diff --git a/ja/built-in-nodes/ElevenLabsInstantVoiceClone.mdx b/ja/built-in-nodes/ElevenLabsInstantVoiceClone.mdx index 813e375a1..36adc53df 100644 --- a/ja/built-in-nodes/ElevenLabsInstantVoiceClone.mdx +++ b/ja/built-in-nodes/ElevenLabsInstantVoiceClone.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ElevenLabsInstantVoiceClone" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/ja.md) - 以下が翻訳結果です。 このドキュメントは AI によって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md) @@ -15,18 +13,20 @@ ElevenLabs Instant Voice Clone ノードは、1 ～ 8 件の音声録音を分 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `audio_*` | AUDIO | はい | 1 ～ 8 ファイル | 音声クローン作成用の音声録音です。1 ～ 8 個の音声ファイルを提供する必要があります。 | -| `バックグラウンドノイズ除去` | BOOLEAN | いいえ | True / False | 音声分離を使用して、音声サンプルから背景ノイズを除去します。（デフォルト：False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `audio_*` | 音声クローン作成用の音声録音です。1 ～ 8 個の音声ファイルを提供する必要があります。 | AUDIO | はい | 1 ～ 8 ファイル | +| `バックグラウンドノイズ除去` | 音声分離を使用して、音声サンプルから背景ノイズを除去します。（デフォルト：False） | BOOLEAN | いいえ | True / False | **注記：** 少なくとも 1 つの音声ファイルを提供する必要があり、最大 8 つまで提供できます。ノードは、追加した音声ファイルに対して自動的に入力スロットを作成します。 ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `voice` | ELEVENLABS_VOICE | 新しく作成されたクローン音声モデルの一意の識別子です。この出力は、他の ElevenLabs テキスト読み上げノードに接続できます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `voice` | 新しく作成されたクローン音声モデルの一意の識別子です。この出力は、他の ElevenLabs テキスト読み上げノードに接続できます。 | ELEVENLABS_VOICE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/ja.md) --- **Source fingerprint (SHA-256):** `297598e183df3ccddabc75d6903c5c69f10648adeea430e546f9c5f6df49bdb2` diff --git a/ja/built-in-nodes/ElevenLabsSpeechToSpeech.mdx b/ja/built-in-nodes/ElevenLabsSpeechToSpeech.mdx index 45ce51d19..0deb828c0 100644 --- a/ja/built-in-nodes/ElevenLabsSpeechToSpeech.mdx +++ b/ja/built-in-nodes/ElevenLabsSpeechToSpeech.mdx @@ -5,29 +5,29 @@ sidebarTitle: "ElevenLabsSpeechToSpeech" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/ja.md) - 以下が翻訳結果です。 ElevenLabs Speech to Speech ノードは、入力された音声ファイルを別の声に変換します。ElevenLabs API を使用して音声を変換し、元の音声の内容と感情的なトーンを保持します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ターゲットボイス` | CUSTOM | はい | - | 変換先のターゲット音声です。Voice Selector または Instant Voice Clone から接続します。 | -| `音声` | AUDIO | はい | - | 変換する元の音声です。 | -| `安定性` | FLOAT | いいえ | 0.0 - 1.0 | 音声の安定性です。値が低いほど感情の幅が広がり、値が高いほど一貫性が増しますが、単調になる可能性があります（デフォルト: 0.5）。 | -| `モデル` | DYNAMICCOMBO | いいえ | `eleven_multilingual_sts_v2`
`eleven_english_sts_v2` | 音声変換に使用するモデルです。各オプションは特定の音声設定（類似性ブースト、スタイル、スピーカーブーストの使用、速度）を提供します。 | -| `出力フォーマット` | COMBO | いいえ | `"mp3_44100_192"`
`"opus_48000_192"` | 音声の出力フォーマットです（デフォルト: "mp3_44100_192"）。 | -| `シード` | INT | いいえ | 0 - 4294967295 | 再現性のためのシード値です（デフォルト: 0）。 | -| `バックグラウンドノイズ除去` | BOOLEAN | いいえ | - | 音声分離を使用して、入力音声から背景ノイズを除去します（デフォルト: False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ターゲットボイス` | 変換先のターゲット音声です。Voice Selector または Instant Voice Clone から接続します。 | CUSTOM | はい | - | +| `音声` | 変換する元の音声です。 | AUDIO | はい | - | +| `安定性` | 音声の安定性です。値が低いほど感情の幅が広がり、値が高いほど一貫性が増しますが、単調になる可能性があります（デフォルト: 0.5）。 | FLOAT | いいえ | 0.0 - 1.0 | +| `モデル` | 音声変換に使用するモデルです。各オプションは特定の音声設定（類似性ブースト、スタイル、スピーカーブーストの使用、速度）を提供します。 | DYNAMICCOMBO | いいえ | `eleven_multilingual_sts_v2`
`eleven_english_sts_v2` | +| `出力フォーマット` | 音声の出力フォーマットです（デフォルト: "mp3_44100_192"）。 | COMBO | いいえ | `"mp3_44100_192"`
`"opus_48000_192"` | +| `シード` | 再現性のためのシード値です（デフォルト: 0）。 | INT | いいえ | 0 - 4294967295 | +| `バックグラウンドノイズ除去` | 音声分離を使用して、入力音声から背景ノイズを除去します（デフォルト: False）。 | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `音声` | AUDIO | 指定された出力フォーマットで変換された音声ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `音声` | 指定された出力フォーマットで変換された音声ファイルです。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/ja.md) --- **Source fingerprint (SHA-256):** `118fe6e85b146d0649b104d814abb518d37f69ade2e53becac365a0ec90146fd` diff --git a/ja/built-in-nodes/ElevenLabsSpeechToText.mdx b/ja/built-in-nodes/ElevenLabsSpeechToText.mdx index 36685bf7f..79e869ea4 100644 --- a/ja/built-in-nodes/ElevenLabsSpeechToText.mdx +++ b/ja/built-in-nodes/ElevenLabsSpeechToText.mdx @@ -5,36 +5,36 @@ sidebarTitle: "ElevenLabsSpeechToText" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/ja.md) - 以下が翻訳結果です。 ElevenLabs Speech to Text ノードは、オーディオファイルをテキストに文字起こしします。ElevenLabs の API を使用して、音声を書き起こしテキストに変換します。自動言語検出、話者の識別、音楽や笑い声などの非音声サウンドのタグ付けなどの機能をサポートしています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `音声` | AUDIO | はい | - | 文字起こしするオーディオ。 | -| `モデル` | COMBO | はい | `"scribe_v2"` | 文字起こしに使用するモデル。このモデルを選択すると、追加のパラメータが表示されます。 | -| `tag_audio_events` | BOOLEAN | いいえ | - | 文字起こし内で (笑い声)、(音楽) などの音を注釈します。このパラメータは、`"scribe_v2"` モデルが選択されたときに表示されます。(デフォルト: False) | -| `diarize` | BOOLEAN | いいえ | - | どの話者が話しているかを注釈します。このパラメータは、`"scribe_v2"` モデルが選択されたときに表示されます。(デフォルト: False) | -| `diarization_threshold` | FLOAT | いいえ | 0.1 - 0.4 | 話者分離の感度。値が小さいほど、話者の変更に敏感になります。このパラメータは、`"scribe_v2"` モデルが選択され、`diarize` が有効な場合に表示されます。(デフォルト: 0.22) | -| `temperature` | FLOAT | いいえ | 0.0 - 2.0 | ランダム性の制御。0.0 はモデルのデフォルトを使用します。値が大きいほどランダム性が増します。このパラメータは、`"scribe_v2"` モデルが選択されたときに表示されます。(デフォルト: 0.0) | -| `timestamps_granularity` | COMBO | いいえ | `"word"`
`"character"`
`"none"` | 文字起こしの単語に対するタイミングの精度。このパラメータは、`"scribe_v2"` モデルが選択されたときに表示されます。(デフォルト: "word") | -| `言語コード` | STRING | いいえ | - | ISO-639-1 または ISO-639-3 言語コード (例: 'en'、'es'、'fra')。自動検出の場合は空のままにします。(デフォルト: "") | -| `話者数` | INT | いいえ | 0 - 32 | 予測する話者の最大数。自動検出の場合は 0 に設定します。(デフォルト: 0) | -| `シード値` | INT | いいえ | 0 - 2147483647 | 再現性のためのシード (決定性は保証されません)。(デフォルト: 1) | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `音声` | 文字起こしするオーディオ。 | AUDIO | はい | - | +| `モデル` | 文字起こしに使用するモデル。このモデルを選択すると、追加のパラメータが表示されます。 | COMBO | はい | `"scribe_v2"` | +| `tag_audio_events` | 文字起こし内で (笑い声)、(音楽) などの音を注釈します。このパラメータは、`"scribe_v2"` モデルが選択されたときに表示されます。(デフォルト: False) | BOOLEAN | いいえ | - | +| `diarize` | どの話者が話しているかを注釈します。このパラメータは、`"scribe_v2"` モデルが選択されたときに表示されます。(デフォルト: False) | BOOLEAN | いいえ | - | +| `diarization_threshold` | 話者分離の感度。値が小さいほど、話者の変更に敏感になります。このパラメータは、`"scribe_v2"` モデルが選択され、`diarize` が有効な場合に表示されます。(デフォルト: 0.22) | FLOAT | いいえ | 0.1 - 0.4 | +| `temperature` | ランダム性の制御。0.0 はモデルのデフォルトを使用します。値が大きいほどランダム性が増します。このパラメータは、`"scribe_v2"` モデルが選択されたときに表示されます。(デフォルト: 0.0) | FLOAT | いいえ | 0.0 - 2.0 | +| `timestamps_granularity` | 文字起こしの単語に対するタイミングの精度。このパラメータは、`"scribe_v2"` モデルが選択されたときに表示されます。(デフォルト: "word") | COMBO | いいえ | `"word"`
`"character"`
`"none"` | +| `言語コード` | ISO-639-1 または ISO-639-3 言語コード (例: 'en'、'es'、'fra')。自動検出の場合は空のままにします。(デフォルト: "") | STRING | いいえ | - | +| `話者数` | 予測する話者の最大数。自動検出の場合は 0 に設定します。(デフォルト: 0) | INT | いいえ | 0 - 32 | +| `シード値` | 再現性のためのシード (決定性は保証されません)。(デフォルト: 1) | INT | いいえ | 0 - 2147483647 | **注:** `diarize` オプションが有効な場合、`num_speakers` パラメータを 0 より大きい値に設定することはできません。`diarize` を無効にするか、`num_speakers` を 0 に設定する必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `言語コード` | STRING | オーディオから文字起こしされたテキスト。 | -| `単語JSON` | STRING | 検出されたオーディオの言語コード。 | -| `words_json` | STRING | タイムスタンプや、有効な場合は話者ラベルを含む、詳細な単語レベルの情報を含む JSON 形式の文字列。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `言語コード` | オーディオから文字起こしされたテキスト。 | STRING | +| `単語JSON` | 検出されたオーディオの言語コード。 | STRING | +| `words_json` | タイムスタンプや、有効な場合は話者ラベルを含む、詳細な単語レベルの情報を含む JSON 形式の文字列。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/ja.md) --- **Source fingerprint (SHA-256):** `aca2ac04d7280ef2b604f7c8d29ad7fea1e7abcfc38beabb64ba6b268a8cade1` diff --git a/ja/built-in-nodes/ElevenLabsTextToDialogue.mdx b/ja/built-in-nodes/ElevenLabsTextToDialogue.mdx index c2ec73351..5368f5f92 100644 --- a/ja/built-in-nodes/ElevenLabsTextToDialogue.mdx +++ b/ja/built-in-nodes/ElevenLabsTextToDialogue.mdx @@ -5,31 +5,31 @@ sidebarTitle: "ElevenLabsTextToDialogue" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/ja.md) - 以下が翻訳結果です。 ElevenLabs Text to Dialogue ノードは、テキストから複数の話者による音声ダイアログを生成します。異なるテキスト行と各参加者に個別の声を指定することで、会話を作成できます。このノードは、ダイアログリクエストを ElevenLabs API に送信し、生成された音声を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `安定性` | FLOAT | いいえ | 0.0 - 1.0 | 声の安定性。値が低いほど感情の幅が広がり、値が高いほど一貫性はあるが単調になりがちな発話になります。（デフォルト：0.5） | -| `テキスト正規化適用` | COMBO | いいえ | `"auto"`
`"on"`
`"off"` | テキスト正規化モード。「auto」はシステムが判断し、「on」は常に正規化を適用し、「off」はスキップします。 | -| `モデル` | COMBO | いいえ | `"eleven_v3"` | ダイアログ生成に使用するモデル。 | -| `入力数` | DYNAMICCOMBO | はい | `"1"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"`
`"10"` | ダイアログエントリの数。数値を選択すると、その数だけテキスト入力フィールドと音声入力フィールドが生成されます。 | -| `言語コード` | STRING | いいえ | - | ISO-639-1 または ISO-639-3 言語コード（例：「en」、「es」、「fra」）。自動検出の場合は空のままにします。（デフォルト：空） | -| `シード値` | INT | いいえ | 0 - 4294967295 | 再現性のためのシード値。（デフォルト：1） | -| `出力フォーマット` | COMBO | いいえ | `"mp3_44100_192"`
`"opus_48000_192"` | 音声出力形式。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `安定性` | 声の安定性。値が低いほど感情の幅が広がり、値が高いほど一貫性はあるが単調になりがちな発話になります。（デフォルト：0.5） | FLOAT | いいえ | 0.0 - 1.0 | +| `テキスト正規化適用` | テキスト正規化モード。「auto」はシステムが判断し、「on」は常に正規化を適用し、「off」はスキップします。 | COMBO | いいえ | `"auto"`
`"on"`
`"off"` | +| `モデル` | ダイアログ生成に使用するモデル。 | COMBO | いいえ | `"eleven_v3"` | +| `入力数` | ダイアログエントリの数。数値を選択すると、その数だけテキスト入力フィールドと音声入力フィールドが生成されます。 | DYNAMICCOMBO | はい | `"1"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"`
`"10"` | +| `言語コード` | ISO-639-1 または ISO-639-3 言語コード（例：「en」、「es」、「fra」）。自動検出の場合は空のままにします。（デフォルト：空） | STRING | いいえ | - | +| `シード値` | 再現性のためのシード値。（デフォルト：1） | INT | いいえ | 0 - 4294967295 | +| `出力フォーマット` | 音声出力形式。 | COMBO | いいえ | `"mp3_44100_192"`
`"opus_48000_192"` | **注記：** `inputs` パラメータは動的です。数値（例：「3」）を選択すると、ノードは対応する3つの `text` および `voice` 入力フィールド（例：`text1`、`voice1`、`text2`、`voice2`、`text3`、`voice3`）を表示します。各 `text` フィールドには、少なくとも1文字以上を含める必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `audio` | AUDIO | 選択された出力形式で生成された、複数話者によるダイアログ音声。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `audio` | 選択された出力形式で生成された、複数話者によるダイアログ音声。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/ja.md) --- **Source fingerprint (SHA-256):** `2e1634e90314167320d715346f8d0c691dfabe82b090391afa2b0b18a8a126d8` diff --git a/ja/built-in-nodes/ElevenLabsTextToSoundEffects.mdx b/ja/built-in-nodes/ElevenLabsTextToSoundEffects.mdx index 2d33c6f29..db93e172a 100644 --- a/ja/built-in-nodes/ElevenLabsTextToSoundEffects.mdx +++ b/ja/built-in-nodes/ElevenLabsTextToSoundEffects.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ElevenLabsTextToSoundEffects" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 --- @@ -15,11 +13,11 @@ ElevenLabs Text to Sound Effects ノードは、テキストの説明からオ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `テキスト` | STRING | はい | N/A | 生成する効果音のテキスト説明。必須フィールドです。 | -| `モデル` | COMBO | はい | `"eleven_sfx_v2"` | 効果音生成に使用するモデル。このモデルを選択すると、追加パラメータが表示されます：`duration`（デフォルト: 5.0、範囲: 0.5～30.0秒）、`loop`（デフォルト: False）、`prompt_influence`（デフォルト: 0.3、範囲: 0.0～1.0）。 | -| `出力フォーマット` | COMBO | はい | `"mp3_44100_192"`
`"opus_48000_192"` | オーディオ出力形式。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `テキスト` | 生成する効果音のテキスト説明。必須フィールドです。 | STRING | はい | N/A | +| `モデル` | 効果音生成に使用するモデル。このモデルを選択すると、追加パラメータが表示されます：`duration`（デフォルト: 5.0、範囲: 0.5～30.0秒）、`loop`（デフォルト: False）、`prompt_influence`（デフォルト: 0.3、範囲: 0.0～1.0）。 | COMBO | はい | `"eleven_sfx_v2"` | +| `出力フォーマット` | オーディオ出力形式。 | COMBO | はい | `"mp3_44100_192"`
`"opus_48000_192"` | **パラメータの詳細：** @@ -29,9 +27,11 @@ ElevenLabs Text to Sound Effects ノードは、テキストの説明からオ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `audio` | AUDIO | 生成された効果音のオーディオファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `audio` | 生成された効果音のオーディオファイル。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/ja.md) --- **Source fingerprint (SHA-256):** `c23c4dd3c9c12f0e891d40683265c5b74b5c6320601aaadb686489510db9f107` diff --git a/ja/built-in-nodes/ElevenLabsTextToSpeech.mdx b/ja/built-in-nodes/ElevenLabsTextToSpeech.mdx index 7e5b70421..9601b300d 100644 --- a/ja/built-in-nodes/ElevenLabsTextToSpeech.mdx +++ b/ja/built-in-nodes/ElevenLabsTextToSpeech.mdx @@ -5,24 +5,22 @@ sidebarTitle: "ElevenLabsTextToSpeech" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/ja.md) - 以下が翻訳結果です。 ElevenLabs Text to Speech ノードは、ElevenLabs API を使用して、書き込まれたテキストを音声に変換します。特定の音声を選択し、安定性、速度、スタイルなどのさまざまな音声特性を微調整して、カスタマイズされた音声出力を生成できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `voice` | CUSTOM | はい | なし | 音声合成に使用する音声です。Voice Selector または Instant Voice Clone から接続します。 | -| `text` | STRING | はい | なし | 音声に変換するテキストです。 | -| `stability` | FLOAT | いいえ | 0.0 - 1.0 | 音声の安定性です。値が低いと感情表現の幅が広がり、値が高いとより一貫性のある、ただし単調になりがちな音声になります（デフォルト: 0.5）。 | -| `apply_text_normalization` | COMBO | いいえ | `"auto"`
`"on"`
`"off"` | テキスト正規化モードです。"auto" はシステムが判断し、"on" は常に正規化を適用し、"off" はスキップします。 | -| `model` | DYNAMICCOMBO | いいえ | `"eleven_multilingual_v2"`
`"eleven_v3"` | テキスト読み上げに使用するモデルです。モデルを選択すると、そのモデル固有のパラメータが表示されます。 | -| `language_code` | STRING | いいえ | なし | ISO-639-1 または ISO-639-3 言語コードです（例: 'en', 'es', 'fra'）。自動検出の場合は空のままにします（デフォルト: ""）。 | -| `seed` | INT | いいえ | 0 - 2147483647 | 再現性のためのシード値です（決定性は保証されません）（デフォルト: 1）。 | -| `output_format` | COMBO | いいえ | `"mp3_44100_192"`
`"opus_48000_192"` | 音声出力フォーマットです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `voice` | 音声合成に使用する音声です。Voice Selector または Instant Voice Clone から接続します。 | CUSTOM | はい | なし | +| `text` | 音声に変換するテキストです。 | STRING | はい | なし | +| `stability` | 音声の安定性です。値が低いと感情表現の幅が広がり、値が高いとより一貫性のある、ただし単調になりがちな音声になります（デフォルト: 0.5）。 | FLOAT | いいえ | 0.0 - 1.0 | +| `apply_text_normalization` | テキスト正規化モードです。"auto" はシステムが判断し、"on" は常に正規化を適用し、"off" はスキップします。 | COMBO | いいえ | `"auto"`
`"on"`
`"off"` | +| `model` | テキスト読み上げに使用するモデルです。モデルを選択すると、そのモデル固有のパラメータが表示されます。 | DYNAMICCOMBO | いいえ | `"eleven_multilingual_v2"`
`"eleven_v3"` | +| `language_code` | ISO-639-1 または ISO-639-3 言語コードです（例: 'en', 'es', 'fra'）。自動検出の場合は空のままにします（デフォルト: ""）。 | STRING | いいえ | なし | +| `seed` | 再現性のためのシード値です（決定性は保証されません）（デフォルト: 1）。 | INT | いいえ | 0 - 2147483647 | +| `output_format` | 音声出力フォーマットです。 | COMBO | いいえ | `"mp3_44100_192"`
`"opus_48000_192"` | **モデル固有のパラメータ:** `model` パラメータが `"eleven_multilingual_v2"` に設定されている場合、以下の追加パラメータが使用可能になります。 @@ -39,9 +37,11 @@ ElevenLabs Text to Speech ノードは、ElevenLabs API を使用して、書き ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `audio` | AUDIO | テキスト読み上げ変換によって生成された音声です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `audio` | テキスト読み上げ変換によって生成された音声です。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/ja.md) --- **Source fingerprint (SHA-256):** `d11d4ffa2d1f11dfd5ce378d9496cd9788d2197bf7f4135092ecefb287f3c2f7` diff --git a/ja/built-in-nodes/ElevenLabsVoiceSelector.mdx b/ja/built-in-nodes/ElevenLabsVoiceSelector.mdx index 54cfb1df2..e5972b83f 100644 --- a/ja/built-in-nodes/ElevenLabsVoiceSelector.mdx +++ b/ja/built-in-nodes/ElevenLabsVoiceSelector.mdx @@ -5,21 +5,21 @@ sidebarTitle: "ElevenLabsVoiceSelector" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/ja.md) - ElevenLabs Voice Selector ノードを使用すると、ElevenLabs テキスト読み上げ用の定義済み音声リストから特定の音声を選択できます。このノードは音声名を入力として受け取り、音声生成に必要な対応する音声識別子を出力します。このノードにより、他の ElevenLabs オーディオノードと互換性のある音声を簡単に選択できるようになります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `voice` | STRING | はい | `"Adam"`
`"Antoni"`
`"Arnold"`
`"Bella"`
`"Domi"`
`"Elli"`
`"Josh"`
`"Rachel"`
`"Sam"` | 定義済みの ElevenLabs 音声から音声を選択します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `voice` | 定義済みの ElevenLabs 音声から音声を選択します。 | STRING | はい | `"Adam"`
`"Antoni"`
`"Arnold"`
`"Bella"`
`"Domi"`
`"Elli"`
`"Josh"`
`"Rachel"`
`"Sam"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `voice` | STRING | 選択された ElevenLabs 音声の一意の識別子です。テキスト読み上げ生成のために他のノードに渡すことができます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `voice` | 選択された ElevenLabs 音声の一意の識別子です。テキスト読み上げ生成のために他のノードに渡すことができます。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/ja.md) --- **Source fingerprint (SHA-256):** `b87f5b2b8accca87d0593ab1f4bcfccaa84b393ddb3fd9121758a87871592cee` diff --git a/ja/built-in-nodes/EmptyARVideoLatent.mdx b/ja/built-in-nodes/EmptyARVideoLatent.mdx index 5c56c3150..c23eba69d 100644 --- a/ja/built-in-nodes/EmptyARVideoLatent.mdx +++ b/ja/built-in-nodes/EmptyARVideoLatent.mdx @@ -5,26 +5,26 @@ sidebarTitle: "EmptyARVideoLatent" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyARVideoLatent/ja.md) - ## 概要 EmptyARVideoLatent ノードは、動画生成用の空の潜在表現を作成します。指定された寸法、アスペクト比、長さを持つゼロテンソルを提供することで、動画生成プロセスを初期化するために使用されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | 16 ～ 8192（ステップ：16） | 動画フレームの幅（ピクセル単位）（デフォルト：832） | -| `height` | INT | はい | 16 ～ 8192（ステップ：16） | 動画フレームの高さ（ピクセル単位）（デフォルト：480） | -| `length` | INT | はい | 1 ～ 1024（ステップ：4） | 動画のフレーム数（デフォルト：81） | -| `batch_size` | INT | はい | 1 ～ 64 | 1回のバッチで生成する動画の数（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `width` | 動画フレームの幅（ピクセル単位）（デフォルト：832） | INT | はい | 16 ～ 8192（ステップ：16） | +| `height` | 動画フレームの高さ（ピクセル単位）（デフォルト：480） | INT | はい | 16 ～ 8192（ステップ：16） | +| `length` | 動画のフレーム数（デフォルト：81） | INT | はい | 1 ～ 1024（ステップ：4） | +| `batch_size` | 1回のバッチで生成する動画の数（デフォルト：1） | INT | はい | 1 ～ 64 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `LATENT` | LATENT | ゼロで満たされた潜在テンソル。指定された寸法、長さ、バッチサイズを持つ空の動画潜在空間を表します。テンソルの形状は [batch_size, 16, lat_t, height/8, width/8] で、lat_t は length から計算されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `LATENT` | ゼロで満たされた潜在テンソル。指定された寸法、長さ、バッチサイズを持つ空の動画潜在空間を表します。テンソルの形状は [batch_size, 16, lat_t, height/8, width/8] で、lat_t は length から計算されます。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyARVideoLatent/ja.md) --- **Source fingerprint (SHA-256):** `5ae25e2ccb24e627eae583d14c5bcba8b576a227b7a489f3cd4bc56738928513` diff --git a/ja/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx b/ja/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx index 54b4bb907..589b550ae 100644 --- a/ja/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx +++ b/ja/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx @@ -5,22 +5,22 @@ sidebarTitle: "EmptyAceStep1.5LatentAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStep1.5LatentAudio/ja.md) - ## 概要Empty Ace Step 1.5 Latent Audio ノードは、オーディオ処理用に設計された空の潜在テンソルを作成します。指定された長さとバッチサイズの無音オーディオ潜在表現を生成し、ComfyUI でのオーディオ生成ワークフローの開始点として使用できます。このノードは、入力された秒数と固定サンプルレートに基づいて潜在長を計算します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `seconds` | FLOAT | はい | 1.0 - 1000.0 | 生成するオーディオの長さ（秒単位、デフォルト：120.0） | -| `batch_size` | INT | はい | 1 - 4096 | バッチ内の潜在画像の数（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `seconds` | 生成するオーディオの長さ（秒単位、デフォルト：120.0） | FLOAT | はい | 1.0 - 1000.0 | +| `batch_size` | バッチ内の潜在画像の数（デフォルト：1） | INT | はい | 1 - 4096 | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|---------|------| -| `LATENT` | LATENT | 無音オーディオを表す空の潜在テンソル。タイプ識別子は "audio" です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `LATENT` | 無音オーディオを表す空の潜在テンソル。タイプ識別子は "audio" です。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStep1.5LatentAudio/ja.md) --- **Source fingerprint (SHA-256):** `8d2b0b8ea110362d5e43a72a27df0ff2012a8577fbaa4fef2bd7905c9c64bd6a` diff --git a/ja/built-in-nodes/EmptyAceStepLatentAudio.mdx b/ja/built-in-nodes/EmptyAceStepLatentAudio.mdx index d054ecbd0..50dba408d 100644 --- a/ja/built-in-nodes/EmptyAceStepLatentAudio.mdx +++ b/ja/built-in-nodes/EmptyAceStepLatentAudio.mdx @@ -5,22 +5,22 @@ sidebarTitle: "EmptyAceStepLatentAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/ja.md) - EmptyAceStepLatentAudioノードは、指定された長さの空の潜在音声サンプルを作成します。ゼロで埋められた無音の音声潜在表現のバッチを生成し、その長さは入力された秒数と音声処理パラメータに基づいて計算されます。このノードは、潜在表現を必要とする音声処理ワークフローの初期化に役立ちます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `seconds` | FLOAT | はい | 1.0 - 1000.0 | 音声の長さ（秒単位）（デフォルト：120.0） | -| `batch_size` | INT | はい | 1 - 4096 | バッチ内の潜在画像の数（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `seconds` | 音声の長さ（秒単位）（デフォルト：120.0） | FLOAT | はい | 1.0 - 1000.0 | +| `batch_size` | バッチ内の潜在画像の数（デフォルト：1） | INT | はい | 1 - 4096 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | LATENT | ゼロで埋められた空の潜在音声サンプルを返します。出力には`samples`テンソルと、`"audio"`に設定された`type`フィールドが含まれます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | ゼロで埋められた空の潜在音声サンプルを返します。出力には`samples`テンソルと、`"audio"`に設定された`type`フィールドが含まれます。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/ja.md) --- **Source fingerprint (SHA-256):** `79fcfb3cb26db8a2ef4480455a44255e0d1a16f122a762d7608a78b2330cc637` diff --git a/ja/built-in-nodes/EmptyAudio.mdx b/ja/built-in-nodes/EmptyAudio.mdx index 2dc4fc303..5b721aecc 100644 --- a/ja/built-in-nodes/EmptyAudio.mdx +++ b/ja/built-in-nodes/EmptyAudio.mdx @@ -5,8 +5,6 @@ sidebarTitle: "EmptyAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAudio/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,17 +13,19 @@ EmptyAudioノードは、指定された長さ、サンプルレート、チャ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `duration` | FLOAT | はい | 0.0 ～ 1.8446744073709552e+19 | 空のオーディオクリップの長さ（秒単位）（デフォルト：60.0） | -| `sample_rate` | INT | はい | 1 ～ 192000 | 空のオーディオクリップのサンプルレート（デフォルト：44100） | -| `channels` | INT | はい | 1 ～ 2 | オーディオチャンネル数（1：モノラル、2：ステレオ）（デフォルト：2） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `duration` | 空のオーディオクリップの長さ（秒単位）（デフォルト：60.0） | FLOAT | はい | 0.0 ～ 1.8446744073709552e+19 | +| `sample_rate` | 空のオーディオクリップのサンプルレート（デフォルト：44100） | INT | はい | 1 ～ 192000 | +| `channels` | オーディオチャンネル数（1：モノラル、2：ステレオ）（デフォルト：2） | INT | はい | 1 ～ 2 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `AUDIO` | AUDIO | 生成された無音のオーディオクリップ。波形データとサンプルレート情報を含みます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `AUDIO` | 生成された無音のオーディオクリップ。波形データとサンプルレート情報を含みます。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAudio/ja.md) --- **Source fingerprint (SHA-256):** `61b9cd6c8e518f28533b7586fdd1f909e5c356c7f2f7690da4e1ec7965d53c5d` diff --git a/ja/built-in-nodes/EmptyChromaRadianceLatentImage.mdx b/ja/built-in-nodes/EmptyChromaRadianceLatentImage.mdx index b8098fdf9..737b4d943 100644 --- a/ja/built-in-nodes/EmptyChromaRadianceLatentImage.mdx +++ b/ja/built-in-nodes/EmptyChromaRadianceLatentImage.mdx @@ -5,23 +5,23 @@ sidebarTitle: "EmptyChromaRadianceLatentImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyChromaRadianceLatentImage/ja.md) - EmptyChromaRadianceLatentImageノードは、クロマラディアンスワークフローで使用するための、指定された寸法の空白の潜在画像を作成します。このノードは、潜在空間操作の開始点として機能するゼロで満たされたテンソルを生成します。ノードでは、空白の潜在画像の幅、高さ、およびバッチサイズを定義できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在画像の幅（ピクセル単位）（デフォルト：1024、16で割り切れる必要があります） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在画像の高さ（ピクセル単位）（デフォルト：1024、16で割り切れる必要があります） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 1バッチで生成する潜在画像の数（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `width` | 潜在画像の幅（ピクセル単位）（デフォルト：1024、16で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `height` | 潜在画像の高さ（ピクセル単位）（デフォルト：1024、16で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `batch_size` | 1バッチで生成する潜在画像の数（デフォルト：1） | INT | いいえ | 1 ～ 4096 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `samples` | LATENT | 指定された寸法で生成された空白の潜在画像テンソル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `samples` | 指定された寸法で生成された空白の潜在画像テンソル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyChromaRadianceLatentImage/ja.md) --- **Source fingerprint (SHA-256):** `f2bc90a236f91e0161142f5242647d15adc8a10c57c920d2eb97e87040ac99d4` diff --git a/ja/built-in-nodes/EmptyCosmosLatentVideo.mdx b/ja/built-in-nodes/EmptyCosmosLatentVideo.mdx index 6b3766938..23ee190be 100644 --- a/ja/built-in-nodes/EmptyCosmosLatentVideo.mdx +++ b/ja/built-in-nodes/EmptyCosmosLatentVideo.mdx @@ -5,24 +5,24 @@ sidebarTitle: "EmptyCosmosLatentVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyCosmosLatentVideo/ja.md) - EmptyCosmosLatentVideo ノードは、指定された寸法で空の潜在ビデオテンソルを作成します。ゼロで埋められた潜在表現を生成し、ビデオ生成ワークフローの開始点として使用できます。幅、高さ、フレーム数、バッチサイズのパラメータを設定可能です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在ビデオの幅（ピクセル単位、デフォルト: 1280、16で割り切れる必要があります） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在ビデオの高さ（ピクセル単位、デフォルト: 704、16で割り切れる必要があります） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 潜在ビデオのフレーム数（デフォルト: 121、8で割り切れる必要があります） | -| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | 1バッチで生成する潜在ビデオの数（デフォルト: 1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `幅` | 潜在ビデオの幅（ピクセル単位、デフォルト: 1280、16で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 潜在ビデオの高さ（ピクセル単位、デフォルト: 704、16で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | 潜在ビデオのフレーム数（デフォルト: 121、8で割り切れる必要があります） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 1バッチで生成する潜在ビデオの数（デフォルト: 1） | INT | いいえ | 1 ～ 4096 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `samples` | LATENT | ゼロ値で生成された空の潜在ビデオテンソル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `samples` | ゼロ値で生成された空の潜在ビデオテンソル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyCosmosLatentVideo/ja.md) --- **Source fingerprint (SHA-256):** `f473820af3faf7cb6992ff1959089801e333df395b4007abeb9b504962bfc73b` diff --git a/ja/built-in-nodes/EmptyFlux2LatentImage.mdx b/ja/built-in-nodes/EmptyFlux2LatentImage.mdx index 6c53c5282..8a999c14b 100644 --- a/ja/built-in-nodes/EmptyFlux2LatentImage.mdx +++ b/ja/built-in-nodes/EmptyFlux2LatentImage.mdx @@ -5,25 +5,25 @@ sidebarTitle: "EmptyFlux2LatentImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyFlux2LatentImage/ja.md) - EmptyFlux2LatentImageノードは、空の潜在表現を作成します。ゼロで満たされたテンソルを生成し、Fluxモデルのノイズ除去プロセスの開始点として機能します。潜在表現の次元は、入力された幅と高さに基づき、16分の1にスケールダウンされます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `幅` | INT | はい | 16～8192 | 生成する最終画像の幅です。潜在表現の幅は、この値を16で割った値になります。デフォルト値は1024です。 | -| `高さ` | INT | はい | 16～8192 | 生成する最終画像の高さです。潜在表現の高さは、この値を16で割った値になります。デフォルト値は1024です。 | -| `バッチサイズ` | INT | いいえ | 1～4096 | 1回のバッチで生成する潜在サンプルの数です。デフォルト値は1です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `幅` | 生成する最終画像の幅です。潜在表現の幅は、この値を16で割った値になります。デフォルト値は1024です。 | INT | はい | 16～8192 | +| `高さ` | 生成する最終画像の高さです。潜在表現の高さは、この値を16で割った値になります。デフォルト値は1024です。 | INT | はい | 16～8192 | +| `バッチサイズ` | 1回のバッチで生成する潜在サンプルの数です。デフォルト値は1です。 | INT | いいえ | 1～4096 | **注記:** `width`と`height`の入力値は16で割り切れる必要があります。これは、ノードが内部でこれらの値を16で割って潜在表現の次元を作成するためです。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `samples` | LATENT | ゼロで満たされた潜在テンソルです。形状は`[batch_size, 128, height // 16, width // 16]`となります。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `samples` | ゼロで満たされた潜在テンソルです。形状は`[batch_size, 128, height // 16, width // 16]`となります。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyFlux2LatentImage/ja.md) --- **Source fingerprint (SHA-256):** `e3616ad0e283a318bbe441d84f687883e59ab311e72c5e5edd16ddabde10988e` diff --git a/ja/built-in-nodes/EmptyHiDreamO1LatentImage.mdx b/ja/built-in-nodes/EmptyHiDreamO1LatentImage.mdx index 028e7c141..c99161f1d 100644 --- a/ja/built-in-nodes/EmptyHiDreamO1LatentImage.mdx +++ b/ja/built-in-nodes/EmptyHiDreamO1LatentImage.mdx @@ -5,8 +5,6 @@ sidebarTitle: "EmptyHiDreamO1LatentImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ja.md) - 以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。 ## 概要 @@ -15,22 +13,24 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `幅` | INT | はい | 64 ～ 4096 (ステップ: 32) | 潜在画像の幅（ピクセル単位、デフォルト: 2048）。モデルは約4メガピクセルで学習されており、それより低い解像度では分布から外れ、品質が著しく低下します。 | -| `高さ` | INT | はい | 64 ～ 4096 (ステップ: 32) | 潜在画像の高さ（ピクセル単位、デフォルト: 2048）。モデルは約4メガピクセルで学習されており、それより低い解像度では分布から外れ、品質が著しく低下します。 | -| `バッチサイズ` | INT | いいえ | 1 ～ 64 | 1回のバッチで生成する潜在画像の数（デフォルト: 1）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `幅` | 潜在画像の幅（ピクセル単位、デフォルト: 2048）。モデルは約4メガピクセルで学習されており、それより低い解像度では分布から外れ、品質が著しく低下します。 | INT | はい | 64 ～ 4096 (ステップ: 32) | +| `高さ` | 潜在画像の高さ（ピクセル単位、デフォルト: 2048）。モデルは約4メガピクセルで学習されており、それより低い解像度では分布から外れ、品質が著しく低下します。 | INT | はい | 64 ～ 4096 (ステップ: 32) | +| `バッチサイズ` | 1回のバッチで生成する潜在画像の数（デフォルト: 1）。 | INT | いいえ | 1 ～ 64 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `samples` | LATENT | 空の潜在画像を表すゼロで満たされたテンソル。形状は (batch_size, 3, height, width) です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `samples` | 空の潜在画像を表すゼロで満たされたテンソル。形状は (batch_size, 3, height, width) です。 | LATENT | ## 注意事項 - HiDream-O1-Imageモデルは約4メガピクセルで学習されています。これより大幅に低い解像度を使用すると、画像品質が低下する可能性があります。 - 学習済みの解像度は以下の通りです: 2048x2048、2304x1728、1728x2304、2560x1440、1440x2560、2496x1664、1664x2496、3104x1312、1312x3104、2304x1792、1792x2304。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ja.md) + --- **Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e` diff --git a/ja/built-in-nodes/EmptyHunyuanImageLatent.mdx b/ja/built-in-nodes/EmptyHunyuanImageLatent.mdx index 824b506fa..0ac548d3f 100644 --- a/ja/built-in-nodes/EmptyHunyuanImageLatent.mdx +++ b/ja/built-in-nodes/EmptyHunyuanImageLatent.mdx @@ -5,25 +5,25 @@ sidebarTitle: "EmptyHunyuanImageLatent" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanImageLatent/ja.md) - 以下が翻訳結果です。 EmptyHunyuanImageLatent ノードは、Hunyuan 画像生成モデルで使用するための特定の寸法を持つ空の潜在テンソルを作成します。ワークフロー内の後続ノードで処理可能な空白の開始点を生成し、潜在空間の幅、高さ、およびバッチサイズを指定できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | 64 ～ MAX_RESOLUTION | 生成される潜在画像の幅（ピクセル単位、デフォルト：2048、ステップ：32） | -| `height` | INT | はい | 64 ～ MAX_RESOLUTION | 生成される潜在画像の高さ（ピクセル単位、デフォルト：2048、ステップ：32） | -| `batch_size` | INT | はい | 1 ～ 4096 | 1バッチで生成する潜在サンプルの数（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `width` | 生成される潜在画像の幅（ピクセル単位、デフォルト：2048、ステップ：32） | INT | はい | 64 ～ MAX_RESOLUTION | +| `height` | 生成される潜在画像の高さ（ピクセル単位、デフォルト：2048、ステップ：32） | INT | はい | 64 ～ MAX_RESOLUTION | +| `batch_size` | 1バッチで生成する潜在サンプルの数（デフォルト：1） | INT | はい | 1 ～ 4096 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `LATENT` | LATENT | Hunyuan 画像処理用に指定された寸法を持つ空の潜在テンソル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `LATENT` | Hunyuan 画像処理用に指定された寸法を持つ空の潜在テンソル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanImageLatent/ja.md) --- **Source fingerprint (SHA-256):** `18e920527c88be2648d8cbe4255f693123be4e70a9e21dd379310088a1470834` diff --git a/ja/built-in-nodes/EmptyHunyuanLatentVideo.mdx b/ja/built-in-nodes/EmptyHunyuanLatentVideo.mdx index 6732e2b73..6e125daf9 100644 --- a/ja/built-in-nodes/EmptyHunyuanLatentVideo.mdx +++ b/ja/built-in-nodes/EmptyHunyuanLatentVideo.mdx @@ -5,21 +5,21 @@ sidebarTitle: "EmptyHunyuanLatentVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanLatentVideo/ja.md) - `EmptyHunyuanLatentVideo` ノードは、`EmptyLatentImage` ノードと類似しています。これは、動画生成のための空白のキャンバスと考えることができ、幅、高さ、長さがキャンバスのプロパティを定義し、バッチサイズが作成するキャンバスの数を決定します。このノードは、後続の動画生成タスクに備えて、空のキャンバスを作成します。 ## 入力 -| パラメータ | Comfy 型 | 説明 | -| ----------- | ---------- | ------------------------------------------------------------------------------------------ | -| `幅` | `INT` | 動画の幅、デフォルトは848、最小値は16、最大値は `nodes.MAX_RESOLUTION`、ステップサイズは16です。 | -| `高さ` | `INT` | 動画の高さ、デフォルトは480、最小値は16、最大値は `nodes.MAX_RESOLUTION`、ステップサイズは16です。 | -| `長さ` | `INT` | 動画の長さ、デフォルトは25、最小値は1、最大値は `nodes.MAX_RESOLUTION`、ステップサイズは4です。 | -| `バッチサイズ`| `INT` | バッチサイズ、デフォルトは1、最小値は1、最大値は4096です。 | +| パラメータ | 説明 | Comfy 型 | +| --- | --- | --- | +| `幅` | 動画の幅、デフォルトは848、最小値は16、最大値は `nodes.MAX_RESOLUTION`、ステップサイズは16です。 | `INT` | +| `高さ` | 動画の高さ、デフォルトは480、最小値は16、最大値は `nodes.MAX_RESOLUTION`、ステップサイズは16です。 | `INT` | +| `長さ` | 動画の長さ、デフォルトは25、最小値は1、最大値は `nodes.MAX_RESOLUTION`、ステップサイズは4です。 | `INT` | +| `バッチサイズ` | バッチサイズ、デフォルトは1、最小値は1、最大値は4096です。 | `INT` | ## 出力 -| パラメータ | Comfy 型 | 説明 | -| --------- | ---------- | ----------------------------------------------------------------------------------------- | -| `samples` | `LATENT` | 生成された潜在的な動画サンプルで、ゼロテンソルを含み、処理および生成タスクの準備ができています。 | \ No newline at end of file +| パラメータ | 説明 | Comfy 型 | +| --- | --- | --- | +| `samples` | 生成された潜在的な動画サンプルで、ゼロテンソルを含み、処理および生成タスクの準備ができています。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanLatentVideo/ja.md) diff --git a/ja/built-in-nodes/EmptyHunyuanVideo15Latent.mdx b/ja/built-in-nodes/EmptyHunyuanVideo15Latent.mdx index fd5926fd3..a85fbc7fe 100644 --- a/ja/built-in-nodes/EmptyHunyuanVideo15Latent.mdx +++ b/ja/built-in-nodes/EmptyHunyuanVideo15Latent.mdx @@ -5,26 +5,26 @@ sidebarTitle: "EmptyHunyuanVideo15Latent" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/ja.md) - このノードは、HunyuanVideo 1.5モデルで使用するために特別にフォーマットされた空の潜在テンソルを作成します。モデルの潜在空間に適したチャンネル数と空間次元を持つゼロのテンソルを割り当てることで、動画生成のための空白の開始点を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `幅` | INT | はい | - | 動画フレームの幅（ピクセル単位）。 | -| `高さ` | INT | はい | - | 動画フレームの高さ（ピクセル単位）。 | -| `長さ` | INT | はい | - | 動画シーケンスのフレーム数。 | -| `バッチサイズ` | INT | いいえ | - | バッチで生成する動画サンプル数（デフォルト: 1）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `幅` | 動画フレームの幅（ピクセル単位）。 | INT | はい | - | +| `高さ` | 動画フレームの高さ（ピクセル単位）。 | INT | はい | - | +| `長さ` | 動画シーケンスのフレーム数。 | INT | はい | - | +| `バッチサイズ` | バッチで生成する動画サンプル数（デフォルト: 1）。 | INT | いいえ | - | **注記:** 生成される潜在テンソルの空間次元は、入力された`width`と`height`を16で割ることで計算されます。時間次元（フレーム数）は`((length - 1) // 4) + 1`として計算されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `samples` | LATENT | HunyuanVideo 1.5モデルに適した次元を持つ空の潜在テンソル。テンソルの形状は`[batch_size, 32, frames, height//16, width//16]`です。出力には`downscale_ratio_spacial`値16も含まれます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `samples` | HunyuanVideo 1.5モデルに適した次元を持つ空の潜在テンソル。テンソルの形状は`[batch_size, 32, frames, height//16, width//16]`です。出力には`downscale_ratio_spacial`値16も含まれます。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/ja.md) --- **Source fingerprint (SHA-256):** `eebc131adfe63f6bc8367f2a96b3ac7f3f3223c5b1fb308eda3ec09c94fff2ee` diff --git a/ja/built-in-nodes/EmptyImage.mdx b/ja/built-in-nodes/EmptyImage.mdx index 3c0cf7866..80709c403 100644 --- a/ja/built-in-nodes/EmptyImage.mdx +++ b/ja/built-in-nodes/EmptyImage.mdx @@ -5,8 +5,6 @@ sidebarTitle: "EmptyImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyImage/ja.md) - ## 機能説明 EmptyImageノードは、指定された寸法と色で空白の画像を作成するために使用されます。単色の背景画像を生成でき、画像処理ワークフローの開始点や背景画像としてよく使用されます。 @@ -17,18 +15,18 @@ EmptyImageノードは、指定された寸法と色で空白の画像を作成 ## 入力 -| パラメータ名 | データ型 | 説明 | -|-------------|----------|------| -| `幅` | INT | 生成される画像の幅（ピクセル単位）を設定し、キャンバスの水平方向の寸法を決定します | -| `高さ` | INT | 生成される画像の高さ（ピクセル単位）を設定し、キャンバスの垂直方向の寸法を決定します | -| `バッチサイズ` | INT | 一度に生成する画像の数。同じ仕様の画像をバッチ作成するために使用します | -| `色` | INT | 画像の背景色。16進数のカラー設定を入力できます。自動的に10進数に変換されます | +| パラメータ名 | 説明 | データ型 | +| --- | --- | --- | +| `幅` | 生成される画像の幅（ピクセル単位）を設定し、キャンバスの水平方向の寸法を決定します | INT | +| `高さ` | 生成される画像の高さ（ピクセル単位）を設定し、キャンバスの垂直方向の寸法を決定します | INT | +| `バッチサイズ` | 一度に生成する画像の数。同じ仕様の画像をバッチ作成するために使用します | INT | +| `色` | 画像の背景色。16進数のカラー設定を入力できます。自動的に10進数に変換されます | INT | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `image` | IMAGE | 生成された空白画像のテンソル。[batch_size, height, width, 3]の形式で、RGB3つのカラーチャンネルを含みます | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 生成された空白画像のテンソル。[batch_size, height, width, 3]の形式で、RGB3つのカラーチャンネルを含みます | IMAGE | ## よく使う色の参考値 @@ -55,4 +53,6 @@ EmptyImageノードは、指定された寸法と色で空白の画像を作成 | ダークレッド | 0x800000 | | ゴールド | 0xFFD700 | | シルバー | 0xC0C0C0 | -| ベージュ | 0xF5F5DC | \ No newline at end of file +| ベージュ | 0xF5F5DC | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyImage/ja.md) diff --git a/ja/built-in-nodes/EmptyLTXVLatentVideo.mdx b/ja/built-in-nodes/EmptyLTXVLatentVideo.mdx index 47124cfa4..cf19095ba 100644 --- a/ja/built-in-nodes/EmptyLTXVLatentVideo.mdx +++ b/ja/built-in-nodes/EmptyLTXVLatentVideo.mdx @@ -5,24 +5,24 @@ sidebarTitle: "EmptyLTXVLatentVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLTXVLatentVideo/ja.md) - EmptyLTXVLatentVideo ノードは、動画処理用の空の潜在テンソルを作成します。指定された寸法を持つ空の開始点を生成し、動画生成ワークフローの入力として使用できます。このノードは、設定された幅、高さ、長さ、バッチサイズでゼロ埋めされた潜在表現を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `幅` | INT | はい | 64 ～ MAX_RESOLUTION | 潜在動画テンソルの幅（デフォルト: 768、ステップ: 32） | -| `高さ` | INT | はい | 64 ～ MAX_RESOLUTION | 潜在動画テンソルの高さ（デフォルト: 512、ステップ: 32） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 潜在動画のフレーム数（デフォルト: 97、ステップ: 8） | -| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | 1バッチで生成する潜在動画の数（デフォルト: 1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `幅` | 潜在動画テンソルの幅（デフォルト: 768、ステップ: 32） | INT | はい | 64 ～ MAX_RESOLUTION | +| `高さ` | 潜在動画テンソルの高さ（デフォルト: 512、ステップ: 32） | INT | はい | 64 ～ MAX_RESOLUTION | +| `長さ` | 潜在動画のフレーム数（デフォルト: 97、ステップ: 8） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 1バッチで生成する潜在動画の数（デフォルト: 1） | INT | いいえ | 1 ～ 4096 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `samples` | LATENT | 指定された寸法でゼロ値を持つ、生成された空の潜在テンソル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `samples` | 指定された寸法でゼロ値を持つ、生成された空の潜在テンソル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLTXVLatentVideo/ja.md) --- **Source fingerprint (SHA-256):** `c3ee9374210e100a074b238ce7ac8b5d2d2d415efd3318c9a6a7c8f7e20bda84` diff --git a/ja/built-in-nodes/EmptyLatentAudio.mdx b/ja/built-in-nodes/EmptyLatentAudio.mdx index d919f554f..2ace8adb9 100644 --- a/ja/built-in-nodes/EmptyLatentAudio.mdx +++ b/ja/built-in-nodes/EmptyLatentAudio.mdx @@ -5,8 +5,6 @@ sidebarTitle: "EmptyLatentAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentAudio/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,16 +12,18 @@ EmptyLatentAudioノードは、オーディオ処理用の空の潜在テンソ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `秒` | FLOAT | はい | 1.0 - 1000.0 | オーディオの長さ（秒単位）（デフォルト：47.6） | -| `バッチサイズ` | INT | はい | 1 - 4096 | バッチ内の潜在画像の数（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `秒` | オーディオの長さ（秒単位）（デフォルト：47.6） | FLOAT | はい | 1.0 - 1000.0 | +| `バッチサイズ` | バッチ内の潜在画像の数（デフォルト：1） | INT | はい | 1 - 4096 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `LATENT` | LATENT | 指定された長さとバッチサイズのオーディオ処理用の空の潜在テンソルを返します。テンソルの形状は[batch_size, 64, length]で、lengthはオーディオの長さとサンプルレートから計算されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `LATENT` | 指定された長さとバッチサイズのオーディオ処理用の空の潜在テンソルを返します。テンソルの形状は[batch_size, 64, length]で、lengthはオーディオの長さとサンプルレートから計算されます。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentAudio/ja.md) --- **Source fingerprint (SHA-256):** `004f730131b179fe5ac072afe81b2e01a3937fceca5a260b4ae66f92774e96d9` diff --git a/ja/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx b/ja/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx index 5b23280c4..90f70b8b9 100644 --- a/ja/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx +++ b/ja/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx @@ -5,24 +5,24 @@ sidebarTitle: "EmptyLatentHunyuan3Dv2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/ja.md) - このドキュメントは AI が生成したものです。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/en.md) EmptyLatentHunyuan3Dv2 ノードは、Hunyuan3Dv2 3D 生成モデル用に特別にフォーマットされた空の潜在テンソルを作成します。このノードは、Hunyuan3Dv2 アーキテクチャに必要な正しい次元と構造を持つ空の潜在空間を生成し、ゼロから 3D 生成ワークフローを開始できるようにします。出力は、後続の 3D 生成プロセスの基盤となる、ゼロで満たされた潜在テンソルです。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `解像度` | INT | はい | 1 - 8192 | 潜在空間の解像度の次元（デフォルト：3072） | -| `バッチサイズ` | INT | はい | 1 - 4096 | バッチ内の潜在画像の数（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `解像度` | 潜在空間の解像度の次元（デフォルト：3072） | INT | はい | 1 - 8192 | +| `バッチサイズ` | バッチ内の潜在画像の数（デフォルト：1） | INT | はい | 1 - 4096 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `LATENT` | LATENT | Hunyuan3Dv2 3D 生成用にフォーマットされた、空のサンプルを含む潜在テンソルを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `LATENT` | Hunyuan3Dv2 3D 生成用にフォーマットされた、空のサンプルを含む潜在テンソルを返します | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/ja.md) --- **Source fingerprint (SHA-256):** `f912b226bcec4e2edd52250682d0583ab378b5502173f8e027e0e8fbff1db08f` diff --git a/ja/built-in-nodes/EmptyLatentImage.mdx b/ja/built-in-nodes/EmptyLatentImage.mdx index 70e2bf38c..84d06e442 100644 --- a/ja/built-in-nodes/EmptyLatentImage.mdx +++ b/ja/built-in-nodes/EmptyLatentImage.mdx @@ -5,20 +5,20 @@ sidebarTitle: "EmptyLatentImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentImage/ja.md) - `EmptyLatentImage`ノードは、指定された寸法とバッチサイズで空白の潜在空間表現を生成するために設計されています。このノードは、潜在空間での画像生成や操作における基礎的なステップとして機能し、その後の画像合成や修正プロセスの開始点を提供します。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `幅` | `INT` | 生成される潜在画像の幅を指定します。このパラメータは、結果として得られる潜在表現の空間的寸法に直接影響します。 | -| `高さ` | `INT` | 生成される潜在画像の高さを決定します。このパラメータは、潜在空間表現の空間的寸法を定義するために重要です。 | -| `バッチサイズ` | `INT` | 1回のバッチで生成される潜在画像の数を制御します。これにより、複数の潜在表現を同時に生成し、バッチ処理を容易にします。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `幅` | 生成される潜在画像の幅を指定します。このパラメータは、結果として得られる潜在表現の空間的寸法に直接影響します。 | `INT` | +| `高さ` | 生成される潜在画像の高さを決定します。このパラメータは、潜在空間表現の空間的寸法を定義するために重要です。 | `INT` | +| `バッチサイズ` | 1回のバッチで生成される潜在画像の数を制御します。これにより、複数の潜在表現を同時に生成し、バッチ処理を容易にします。 | `INT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 出力は、空白の潜在画像のバッチを表すテンソルであり、潜在空間でのさらなる画像生成や操作のためのベースとして機能します。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 出力は、空白の潜在画像のバッチを表すテンソルであり、潜在空間でのさらなる画像生成や操作のためのベースとして機能します。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentImage/ja.md) diff --git a/ja/built-in-nodes/EmptyMochiLatentVideo.mdx b/ja/built-in-nodes/EmptyMochiLatentVideo.mdx index fa65139c7..65f7a80c3 100644 --- a/ja/built-in-nodes/EmptyMochiLatentVideo.mdx +++ b/ja/built-in-nodes/EmptyMochiLatentVideo.mdx @@ -5,26 +5,26 @@ sidebarTitle: "EmptyMochiLatentVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyMochiLatentVideo/ja.md) - EmptyMochiLatentVideoノードは、指定された寸法で空の潜在ビデオテンソルを作成します。ゼロで埋められた潜在表現を生成し、ビデオ生成ワークフローの開始点として使用できます。このノードでは、潜在ビデオテンソルの幅、高さ、長さ、およびバッチサイズを定義できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在ビデオの幅（ピクセル単位、デフォルト：848、16で割り切れる必要があります） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在ビデオの高さ（ピクセル単位、デフォルト：480、16で割り切れる必要があります） | -| `長さ` | INT | はい | 7 ～ MAX_RESOLUTION | 潜在ビデオのフレーム数（デフォルト：25、1を引いた値が6で割り切れる必要があります） | -| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | バッチで生成する潜在ビデオの数（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `幅` | 潜在ビデオの幅（ピクセル単位、デフォルト：848、16で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 潜在ビデオの高さ（ピクセル単位、デフォルト：480、16で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | 潜在ビデオのフレーム数（デフォルト：25、1を引いた値が6で割り切れる必要があります） | INT | はい | 7 ～ MAX_RESOLUTION | +| `バッチサイズ` | バッチで生成する潜在ビデオの数（デフォルト：1） | INT | いいえ | 1 ～ 4096 | **注記：** 実際の潜在次元は幅/8および高さ/8として計算され、時間次元は((length - 1) // 6) + 1として計算されます。`length`パラメータは`(length - 1)`が6で割り切れる必要があり、有効な値は7、13、19、25などとなります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `samples` | LATENT | 指定された寸法で、すべてゼロが格納された空の潜在ビデオテンソル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `samples` | 指定された寸法で、すべてゼロが格納された空の潜在ビデオテンソル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyMochiLatentVideo/ja.md) --- **Source fingerprint (SHA-256):** `6876a739355b2dcde42f8c02eb67405678798b818865ec1a73e19076b738554b` diff --git a/ja/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx b/ja/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx index d783b1a5f..e41df7cff 100644 --- a/ja/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx +++ b/ja/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx @@ -5,26 +5,26 @@ sidebarTitle: "EmptyQwenImageLayeredLatentImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyQwenImageLayeredLatentImage/ja.md) - ## 概要 Empty Qwen Image Layered Latentノードは、Qwen画像モデルで使用するための空の多層潜在表現を作成します。指定されたレイヤー数、バッチサイズ、および空間次元で構成された、ゼロで満たされたテンソルを生成します。この空の潜在表現は、その後の画像生成や操作ワークフローの開始点として機能します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `幅` | INT | はい | 16～MAX_RESOLUTION | 作成する潜在画像の幅です。値は16で割り切れる必要があります。（デフォルト：640） | -| `高さ` | INT | はい | 16～MAX_RESOLUTION | 作成する潜在画像の高さです。値は16で割り切れる必要があります。（デフォルト：640） | -| `レイヤー` | INT | はい | 0～MAX_RESOLUTION | 潜在構造に追加する追加レイヤーの数です。これにより潜在表現の深さが定義されます。（デフォルト：3） | -| `バッチサイズ` | INT | いいえ | 1～4096 | バッチ内で生成する潜在サンプルの数です。（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `幅` | 作成する潜在画像の幅です。値は16で割り切れる必要があります。（デフォルト：640） | INT | はい | 16～MAX_RESOLUTION | +| `高さ` | 作成する潜在画像の高さです。値は16で割り切れる必要があります。（デフォルト：640） | INT | はい | 16～MAX_RESOLUTION | +| `レイヤー` | 潜在構造に追加する追加レイヤーの数です。これにより潜在表現の深さが定義されます。（デフォルト：3） | INT | はい | 0～MAX_RESOLUTION | +| `バッチサイズ` | バッチ内で生成する潜在サンプルの数です。（デフォルト：1） | INT | いいえ | 1～4096 | **注記：** `width` および `height` パラメータは、出力される潜在テンソルの空間次元を決定するために内部的に8で除算されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `samples` | LATENT | ゼロで満たされた潜在テンソルです。その形状は `[batch_size, 16, layers + 1, height // 8, width // 8]` となります。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `samples` | ゼロで満たされた潜在テンソルです。その形状は `[batch_size, 16, layers + 1, height // 8, width // 8]` となります。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyQwenImageLayeredLatentImage/ja.md) --- **Source fingerprint (SHA-256):** `99497e3e4a67bf7b3f650573e7b8eb2d7fad6be5819b7ebbbb8736291dc44e0c` diff --git a/ja/built-in-nodes/EmptySD3LatentImage.mdx b/ja/built-in-nodes/EmptySD3LatentImage.mdx index 17b175c68..fd74809de 100644 --- a/ja/built-in-nodes/EmptySD3LatentImage.mdx +++ b/ja/built-in-nodes/EmptySD3LatentImage.mdx @@ -5,23 +5,23 @@ sidebarTitle: "EmptySD3LatentImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptySD3LatentImage/ja.md) - EmptySD3LatentImage ノードは、Stable Diffusion 3 モデル用に特別にフォーマットされた空の潜在画像テンソルを作成します。ゼロで満たされたテンソルを生成し、SD3 パイプラインで期待される正しい次元と構造を持ちます。これは、画像生成ワークフローの開始点として一般的に使用されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ: 16） | 出力される潜在画像の幅（ピクセル単位）（デフォルト: 1024） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ: 16） | 出力される潜在画像の高さ（ピクセル単位）（デフォルト: 1024） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | バッチで生成する潜在画像の数（デフォルト: 1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `幅` | 出力される潜在画像の幅（ピクセル単位）（デフォルト: 1024） | INT | はい | 16 ～ MAX_RESOLUTION（ステップ: 16） | +| `高さ` | 出力される潜在画像の高さ（ピクセル単位）（デフォルト: 1024） | INT | はい | 16 ～ MAX_RESOLUTION（ステップ: 16） | +| `バッチサイズ` | バッチで生成する潜在画像の数（デフォルト: 1） | INT | はい | 1 ～ 4096 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `LATENT` | LATENT | SD3 互換の次元を持つ空のサンプルを含む潜在テンソル。このテンソルは 16 チャンネルを持ち、入力された幅と高さと比較して空間的に 8 分の 1 にダウンスケールされています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `LATENT` | SD3 互換の次元を持つ空のサンプルを含む潜在テンソル。このテンソルは 16 チャンネルを持ち、入力された幅と高さと比較して空間的に 8 分の 1 にダウンスケールされています。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptySD3LatentImage/ja.md) --- **Source fingerprint (SHA-256):** `21eb5b6385b9b0db95d48fa2f4b85eafe44f865af11ee194945ab7ffe54b6acc` diff --git a/ja/built-in-nodes/Epsilon Scaling.mdx b/ja/built-in-nodes/Epsilon Scaling.mdx index 40eda2b35..2feaa128a 100644 --- a/ja/built-in-nodes/Epsilon Scaling.mdx +++ b/ja/built-in-nodes/Epsilon Scaling.mdx @@ -5,22 +5,22 @@ sidebarTitle: "Epsilon Scaling" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Epsilon Scaling/ja.md) - このノードは、研究論文「Elucidating the Exposure Bias in Diffusion Models」（arxiv.org/abs/2308.15321v6）で提案されたEpsilon Scaling法を実装しています。サンプリングプロセス中に予測ノイズをスケーリングすることで、露出バイアスを低減し、生成画像の品質向上を実現します。本実装では、論文で実用性と効果のバランスが推奨されている「均一スケジュール」を採用しています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | イプシロンスケーリングパッチが適用されるモデルです。 | -| `スケーリング係数` | FLOAT | いいえ | 0.5 - 1.5 | 予測ノイズをスケーリングする係数です。1.0より大きい値はノイズを低減し、1.0より小さい値はノイズを増加させます（デフォルト: 1.005）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | イプシロンスケーリングパッチが適用されるモデルです。 | MODEL | はい | - | +| `スケーリング係数` | 予測ノイズをスケーリングする係数です。1.0より大きい値はノイズを低減し、1.0より小さい値はノイズを増加させます（デフォルト: 1.005）。 | FLOAT | いいえ | 0.5 - 1.5 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 入力モデルにイプシロンスケーリング関数を適用したパッチ版です。サンプリングプロセスに変更が加えられています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 入力モデルにイプシロンスケーリング関数を適用したパッチ版です。サンプリングプロセスに変更が加えられています。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Epsilon Scaling/ja.md) --- **Source fingerprint (SHA-256):** `85c464ce0b2ec2a031a01d9eef5d50fd300be3012499cc061705fb7964110882` diff --git a/ja/built-in-nodes/ExponentialScheduler.mdx b/ja/built-in-nodes/ExponentialScheduler.mdx index ee8e7a71f..65ba202eb 100644 --- a/ja/built-in-nodes/ExponentialScheduler.mdx +++ b/ja/built-in-nodes/ExponentialScheduler.mdx @@ -5,20 +5,20 @@ sidebarTitle: "ExponentialScheduler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExponentialScheduler/ja.md) - `ExponentialScheduler` ノードは、拡散サンプリングプロセスにおいて指数関数的なスケジュールに従ったシグマ値のシーケンスを生成するために設計されています。このノードは、拡散プロセスの各ステップで適用されるノイズレベルをカスタマイズ可能な方法で制御し、サンプリング動作の微調整を可能にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|---------------|-------------|---------------------------------------------------------------------------------------| -| `ステップ` | INT | 拡散プロセスにおけるステップ数を指定します。生成されるシグマシーケンスの長さ、ひいてはノイズ適用の粒度に影響を与えます。 | -| `sigma_max` | FLOAT | 最大シグマ値を定義し、拡散プロセスにおけるノイズ強度の上限を設定します。適用されるノイズレベルの範囲を決定する上で重要な役割を果たします。 | -| `sigma_min` | FLOAT | 最小シグマ値を設定し、ノイズ強度の下限を確立します。このパラメータは、ノイズ適用の開始点を微調整するのに役立ちます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `ステップ` | 拡散プロセスにおけるステップ数を指定します。生成されるシグマシーケンスの長さ、ひいてはノイズ適用の粒度に影響を与えます。 | INT | +| `sigma_max` | 最大シグマ値を定義し、拡散プロセスにおけるノイズ強度の上限を設定します。適用されるノイズレベルの範囲を決定する上で重要な役割を果たします。 | FLOAT | +| `sigma_min` | 最小シグマ値を設定し、ノイズ強度の下限を確立します。このパラメータは、ノイズ適用の開始点を微調整するのに役立ちます。 | FLOAT | ## 出力 -| パラメータ | データ型 | 説明 | -|-------------|-------------|---------------------------------------------------------------------------------------| -| `sigmas` | SIGMAS | 指数関数的スケジュールに従って生成されたシグマ値のシーケンスです。これらの値は、拡散プロセスの各ステップにおけるノイズレベルを制御するために使用されます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `sigmas` | 指数関数的スケジュールに従って生成されたシグマ値のシーケンスです。これらの値は、拡散プロセスの各ステップにおけるノイズレベルを制御するために使用されます。 | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExponentialScheduler/ja.md) diff --git a/ja/built-in-nodes/ExtendIntermediateSigmas.mdx b/ja/built-in-nodes/ExtendIntermediateSigmas.mdx index cb62e5e8f..8b54a73cd 100644 --- a/ja/built-in-nodes/ExtendIntermediateSigmas.mdx +++ b/ja/built-in-nodes/ExtendIntermediateSigmas.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ExtendIntermediateSigmas" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExtendIntermediateSigmas/ja.md) - 以下が翻訳結果です。 --- @@ -15,21 +13,23 @@ ExtendIntermediateSigmas ノードは、既存のシグマ値のシーケンス ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `sigmas` | SIGMAS | はい | - | 中間値で拡張する入力シグマシーケンス | -| `ステップ数` | INT | はい | 1 ～ 100 | 既存のシグマ間に挿入する中間ステップ数（デフォルト: 2） | -| `開始シグマ` | FLOAT | はい | -1.0 ～ 20000.0 | 拡張の上限シグマ境界 – この値以下のシグマのみを拡張します（デフォルト: -1.0、これは無限大を意味します） | -| `終了シグマ` | FLOAT | はい | 0.0 ～ 20000.0 | 拡張の下限シグマ境界 – この値以上のシグマのみを拡張します（デフォルト: 12.0） | -| `間隔` | COMBO | はい | `"linear"`
`"cosine"`
`"sine"` | 中間シグマ値の間隔を決める補間方法（デフォルト: "linear"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `sigmas` | 中間値で拡張する入力シグマシーケンス | SIGMAS | はい | - | +| `ステップ数` | 既存のシグマ間に挿入する中間ステップ数（デフォルト: 2） | INT | はい | 1 ～ 100 | +| `開始シグマ` | 拡張の上限シグマ境界 – この値以下のシグマのみを拡張します（デフォルト: -1.0、これは無限大を意味します） | FLOAT | はい | -1.0 ～ 20000.0 | +| `終了シグマ` | 拡張の下限シグマ境界 – この値以上のシグマのみを拡張します（デフォルト: 12.0） | FLOAT | はい | 0.0 ～ 20000.0 | +| `間隔` | 中間シグマ値の間隔を決める補間方法（デフォルト: "linear"） | COMBO | はい | `"linear"`
`"cosine"`
`"sine"` | **注:** このノードは、現在のシグマが `start_at_sigma` 以下かつ `end_at_sigma` 以上である既存のシグマペアの間にのみ中間シグマを挿入します。`start_at_sigma` が -1.0 に設定されている場合は無限大として扱われ、`end_at_sigma` の下限境界のみが適用されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | 追加の中間値が挿入された拡張シグマシーケンス | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sigmas` | 追加の中間値が挿入された拡張シグマシーケンス | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExtendIntermediateSigmas/ja.md) --- **Source fingerprint (SHA-256):** `f51ed433fc38365334ff8e4072174dc04982a8a00770d07f544320a6863577c4` diff --git a/ja/built-in-nodes/FeatherMask.mdx b/ja/built-in-nodes/FeatherMask.mdx index eb65e0cd3..f35b820fa 100644 --- a/ja/built-in-nodes/FeatherMask.mdx +++ b/ja/built-in-nodes/FeatherMask.mdx @@ -5,22 +5,22 @@ sidebarTitle: "FeatherMask" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FeatherMask/ja.md) - `FeatherMask`ノードは、指定されたマスクのエッジにフェザリング効果を適用し、各エッジからの指定距離に基づいてマスクのエッジの不透明度を滑らかに遷移させます。これにより、よりソフトでブレンドされたエッジ効果が生まれます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|--------------|-------------| -| `マスク` | MASK | フェザリング効果が適用されるマスクです。フェザリングの影響を受ける画像の領域を決定します。 | -| `左` | INT | 左端からの距離を指定します。この距離内でフェザリング効果が適用されます。 | -| `上` | INT | 上端からの距離を指定します。この距離内でフェザリング効果が適用されます。 | -| `右` | INT | 右端からの距離を指定します。この距離内でフェザリング効果が適用されます。 | -| `下` | INT | 下端からの距離を指定します。この距離内でフェザリング効果が適用されます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `マスク` | フェザリング効果が適用されるマスクです。フェザリングの影響を受ける画像の領域を決定します。 | MASK | +| `左` | 左端からの距離を指定します。この距離内でフェザリング効果が適用されます。 | INT | +| `上` | 上端からの距離を指定します。この距離内でフェザリング効果が適用されます。 | INT | +| `右` | 右端からの距離を指定します。この距離内でフェザリング効果が適用されます。 | INT | +| `下` | 下端からの距離を指定します。この距離内でフェザリング効果が適用されます。 | INT | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|--------------|-------------| -| `マスク` | MASK | 入力マスクのエッジにフェザリング効果が適用された、変更済みのバージョンが出力されます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `マスク` | 入力マスクのエッジにフェザリング効果が適用された、変更済みのバージョンが出力されます。 | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FeatherMask/ja.md) diff --git a/ja/built-in-nodes/File3DToSplat.mdx b/ja/built-in-nodes/File3DToSplat.mdx new file mode 100644 index 000000000..921e1d081 --- /dev/null +++ b/ja/built-in-nodes/File3DToSplat.mdx @@ -0,0 +1,29 @@ +--- +title: "File3DToSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the File3DToSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "File3DToSplat" +icon: "circle" +mode: wide +--- +# File3DToSplat + +このノードは、ガウシアンスプラットデータを含む3Dファイルを、ノードグラフで使用可能なガウシアンスプラット形式に変換します。PLY、SPLAT、KSPLAT、SPZのファイル形式に対応しており、ファイル形式はファイルの内容から自動的に検出されます。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `3Dモデル` | ガウシアンスプラット3Dファイル | FILE3D | はい | - | + +入力ファイルは、PLY、SPLAT、KSPLAT、SPZのいずれかの対応形式である必要があります。PLYファイルは完全な球面調和関数データを保持しますが、その他の形式はベースカラー情報のみを含みます。ファイル形式はファイルの内容から自動的に検出されます。 + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `splat` | 位置、スケール、回転、不透明度、球面調和関数データを含むガウシアンスプラット | SPLAT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/File3DToSplat/ja.md) + +--- +**Source fingerprint (SHA-256):** `9f45210a1366e57a91de6e1251f0e2e09f39e6498dbec1db7bf9826ebedd167b` diff --git a/ja/built-in-nodes/FlipSigmas.mdx b/ja/built-in-nodes/FlipSigmas.mdx index e35b677bb..52deefcb4 100644 --- a/ja/built-in-nodes/FlipSigmas.mdx +++ b/ja/built-in-nodes/FlipSigmas.mdx @@ -5,18 +5,18 @@ sidebarTitle: "FlipSigmas" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FlipSigmas/ja.md) - `FlipSigmas`ノードは、拡散モデルで使用されるシグマ値のシーケンスを反転させ、元の最初の値がゼロの場合に非ゼロになるように調整することで操作するように設計されています。この操作は、ノイズレベルを逆順に適応させ、データからノイズを徐々に低減することで動作するモデルにおける生成プロセスを容易にするために重要です。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `sigmas` | `SIGMAS` | 'sigmas'パラメータは、反転されるシグマ値のシーケンスを表します。このシーケンスは拡散プロセス中に適用されるノイズレベルを制御するために重要であり、反転は逆方向の生成プロセスに不可欠です。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `sigmas` | 'sigmas'パラメータは、反転されるシグマ値のシーケンスを表します。このシーケンスは拡散プロセス中に適用されるノイズレベルを制御するために重要であり、反転は逆方向の生成プロセスに不可欠です。 | `SIGMAS` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `sigmas` | `SIGMAS` | 出力は、反転および調整されたシグマ値のシーケンスであり、元の最初の値がゼロの場合に非ゼロになるように調整され、後続の拡散モデル操作で使用できる状態になります。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `sigmas` | 出力は、反転および調整されたシグマ値のシーケンスであり、元の最初の値がゼロの場合に非ゼロになるように調整され、後続の拡散モデル操作で使用できる状態になります。 | `SIGMAS` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FlipSigmas/ja.md) diff --git a/ja/built-in-nodes/Flux2ImageNode.mdx b/ja/built-in-nodes/Flux2ImageNode.mdx index 15714d46a..d3b0de114 100644 --- a/ja/built-in-nodes/Flux2ImageNode.mdx +++ b/ja/built-in-nodes/Flux2ImageNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Flux2ImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2ImageNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,21 +13,21 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | なし | 画像生成または編集のためのプロンプト（デフォルト：空文字列）。 | -| `モデル` | COMBO | はい | `"Flux.2 [pro]"`
`"Flux.2 [max]"` | 使用する Flux.2 モデルのバージョン。モデルを選択すると、幅、高さ、およびオプションの参照画像に関する追加パラメータが有効になります。 | -| `シード` | INT | はい | 0 ～ 18446744073709551615 | ノイズ生成に使用されるランダムシード。生成後にランダム化するように設定できます（デフォルト：0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 画像生成または編集のためのプロンプト（デフォルト：空文字列）。 | STRING | はい | なし | +| `モデル` | 使用する Flux.2 モデルのバージョン。モデルを選択すると、幅、高さ、およびオプションの参照画像に関する追加パラメータが有効になります。 | COMBO | はい | `"Flux.2 [pro]"`
`"Flux.2 [max]"` | +| `シード` | ノイズ生成に使用されるランダムシード。生成後にランダム化するように設定できます（デフォルト：0）。 | INT | はい | 0 ～ 18446744073709551615 | **追加パラメータ（`model` の選択により有効化）：** モデルを選択すると、以下のパラメータが使用可能になります。 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model.width` | INT | はい | 256 ～ 1440 | 生成画像の幅（ピクセル単位）。 | -| `model.height` | INT | はい | 256 ～ 1440 | 生成画像の高さ（ピクセル単位）。 | -| `model.images` | IMAGE | いいえ | 0 ～ 8 枚の画像 | 生成をガイドするためのオプションの参照画像。最大 8 枚までサポートされます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model.width` | 生成画像の幅（ピクセル単位）。 | INT | はい | 256 ～ 1440 | +| `model.height` | 生成画像の高さ（ピクセル単位）。 | INT | はい | 256 ～ 1440 | +| `model.images` | 生成をガイドするためのオプションの参照画像。最大 8 枚までサポートされます。 | IMAGE | いいえ | 0 ～ 8 枚の画像 | **制約事項：** - 参照画像の最大数は 8 枚です。8 枚を超える画像が提供された場合はエラーが発生します。 @@ -37,9 +35,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | BFL API の結果からダウンロードされた、生成画像のテンソル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | BFL API の結果からダウンロードされた、生成画像のテンソル。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2ImageNode/ja.md) --- **Source fingerprint (SHA-256):** `664ddf45d42f64e4882cc959018f7874915325f2d46519c6bb9a0c5a501228f7` diff --git a/ja/built-in-nodes/Flux2Scheduler.mdx b/ja/built-in-nodes/Flux2Scheduler.mdx index eb9412eef..9ff227ee5 100644 --- a/ja/built-in-nodes/Flux2Scheduler.mdx +++ b/ja/built-in-nodes/Flux2Scheduler.mdx @@ -5,25 +5,25 @@ sidebarTitle: "Flux2Scheduler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2Scheduler/ja.md) - 以下が翻訳結果です。 Flux2Schedulerノードは、Fluxモデル専用に調整された、ノイズ除去プロセス用のノイズレベル（シグマ）のシーケンスを生成します。このノードは、ノイズ除去ステップ数とターゲット画像の寸法に基づいてスケジュールを計算し、画像生成中のノイズ除去の進行に影響を与えます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ステップ数` | INT | はい | 1 ～ 4096 | 実行するノイズ除去ステップ数です。値が大きいほど、通常はより詳細な結果が得られますが、処理に時間がかかります（デフォルト：20）。 | -| `幅` | INT | はい | 16 ～ 16384 | 生成する画像の幅（ピクセル単位）です。この値はノイズスケジュールの計算に影響します（デフォルト：1024）。 | -| `高さ` | INT | はい | 16 ～ 16384 | 生成する画像の高さ（ピクセル単位）です。この値はノイズスケジュールの計算に影響します（デフォルト：1024）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ステップ数` | 実行するノイズ除去ステップ数です。値が大きいほど、通常はより詳細な結果が得られますが、処理に時間がかかります（デフォルト：20）。 | INT | はい | 1 ～ 4096 | +| `幅` | 生成する画像の幅（ピクセル単位）です。この値はノイズスケジュールの計算に影響します（デフォルト：1024）。 | INT | はい | 16 ～ 16384 | +| `高さ` | 生成する画像の高さ（ピクセル単位）です。この値はノイズスケジュールの計算に影響します（デフォルト：1024）。 | INT | はい | 16 ～ 16384 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | サンプラー用のノイズ除去スケジュールを定義する、ノイズレベル値（シグマ）のシーケンスです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sigmas` | サンプラー用のノイズ除去スケジュールを定義する、ノイズレベル値（シグマ）のシーケンスです。 | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2Scheduler/ja.md) --- **Source fingerprint (SHA-256):** `dbe44a6eb454dd61ab22df5770ad5ac559e03b20fd36d17d33730cdb835f7ede` diff --git a/ja/built-in-nodes/FluxDisableGuidance.mdx b/ja/built-in-nodes/FluxDisableGuidance.mdx index ae5936b49..a17934616 100644 --- a/ja/built-in-nodes/FluxDisableGuidance.mdx +++ b/ja/built-in-nodes/FluxDisableGuidance.mdx @@ -5,23 +5,23 @@ sidebarTitle: "FluxDisableGuidance" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxDisableGuidance/ja.md) - このドキュメントはAIによって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxDisableGuidance/en.md) このノードは、Fluxおよび類似モデルにおけるガイダンス埋め込み機能を完全に無効化します。条件付けデータを入力として受け取り、ガイダンスコンポーネントをNoneに設定することで削除し、生成プロセスにおけるガイダンスベースの条件付けを実質的にオフにします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | はい | - | ガイダンスを削除するために処理する条件付けデータ | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `conditioning` | ガイダンスを削除するために処理する条件付けデータ | CONDITIONING | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `conditioning` | CONDITIONING | ガイダンスが無効化された変更済み条件付けデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `conditioning` | ガイダンスが無効化された変更済み条件付けデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxDisableGuidance/ja.md) --- **Source fingerprint (SHA-256):** `37e544460d5e50542cebb451997c0320f16d822cc5695cb34825d2038866a455` diff --git a/ja/built-in-nodes/FluxEraseNode.mdx b/ja/built-in-nodes/FluxEraseNode.mdx new file mode 100644 index 000000000..cbb4fd910 --- /dev/null +++ b/ja/built-in-nodes/FluxEraseNode.mdx @@ -0,0 +1,32 @@ +--- +title: "FluxEraseNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxEraseNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxEraseNode" +icon: "circle" +mode: wide +--- +# Flux Erase ノード + +画像からマスクされたオブジェクトを除去し、背景を再構築します。消去したい部分にマスクを描画すると、ノードがその領域を妥当な背景コンテンツで補完します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `画像` | 処理する入力画像 | IMAGE | はい | - | +| `マスク` | 白い領域が除去され、黒い領域が保持されます | MASK | はい | - | +| `膨張ピクセル数` | マスク境界を拡張し、オブジェクトのエッジを確実にカバーします（デフォルト：10） | INT | はい | 0～25 | +| `seed` | ノイズ生成に使用するランダムシード（デフォルト：0） | INT | いいえ | 0～2147483647 | + +**注記：** 入力画像は、縦横ともに最低256x256ピクセルである必要があります。マスクは自動的に画像の寸法に合わせてリサイズされます。 + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `IMAGE` | マスクされたオブジェクトが除去され、背景が再構築された結果画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxEraseNode/ja.md) + +--- +**Source fingerprint (SHA-256):** `70cf3223bc1ba0528cf99e84f073bd7a1bbcc26164cef99f4deb1645038fbf11` diff --git a/ja/built-in-nodes/FluxGuidance.mdx b/ja/built-in-nodes/FluxGuidance.mdx index 25c79067f..4061fd778 100644 --- a/ja/built-in-nodes/FluxGuidance.mdx +++ b/ja/built-in-nodes/FluxGuidance.mdx @@ -5,17 +5,17 @@ sidebarTitle: "FluxGuidance" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxGuidance/ja.md) - ## 入力 -| パラメータ | データ型 | 説明 | -|----------------|-----------|-------------| -| conditioning | CONDITIONING | 入力の条件付けデータ。通常は、以前のエンコードまたは処理ステップから取得されます。 | -| guidance | FLOAT | 画像生成におけるテキストプロンプトの影響力を制御します。調整範囲は0.0から100.0です。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| conditioning | 入力の条件付けデータ。通常は、以前のエンコードまたは処理ステップから取得されます。 | CONDITIONING | +| guidance | 画像生成におけるテキストプロンプトの影響力を制御します。調整範囲は0.0から100.0です。 | FLOAT | ## 出力 -| パラメータ | データ型 | 説明 | -|----------------|-----------|-------------| -| CONDITIONING | CONDITIONING | 更新された条件付けデータ。新しいガイダンス値を含みます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| CONDITIONING | 更新された条件付けデータ。新しいガイダンス値を含みます。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxGuidance/ja.md) diff --git a/ja/built-in-nodes/FluxKVCache.mdx b/ja/built-in-nodes/FluxKVCache.mdx index 160d89c1f..03533d22e 100644 --- a/ja/built-in-nodes/FluxKVCache.mdx +++ b/ja/built-in-nodes/FluxKVCache.mdx @@ -5,23 +5,23 @@ sidebarTitle: "FluxKVCache" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKVCache/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKVCache/en.md) Flux KV Cacheノードは、Fluxファミリーモデルに対してKey-Value（KV）キャッシュ最適化を有効にします。この最適化は、参照画像を使用する際に特定の計算をキャッシュすることでパフォーマンスを向上させ、生成プロセスを高速化できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | | KVキャッシュ最適化を適用するモデル。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | KVキャッシュ最適化を適用するモデル。 | MODEL | はい | | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | KVキャッシュ最適化が有効になったパッチ適用済みモデル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | KVキャッシュ最適化が有効になったパッチ適用済みモデル。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKVCache/ja.md) --- **Source fingerprint (SHA-256):** `530c660ae23607d4035815826ae73cdcbebe7693ba47a3b0fe98e69f329b9e86` diff --git a/ja/built-in-nodes/FluxKontextImageScale.mdx b/ja/built-in-nodes/FluxKontextImageScale.mdx index bdbd4fc5a..815c18129 100644 --- a/ja/built-in-nodes/FluxKontextImageScale.mdx +++ b/ja/built-in-nodes/FluxKontextImageScale.mdx @@ -5,21 +5,19 @@ sidebarTitle: "FluxKontextImageScale" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextImageScale/ja.md) - このノードは、入力画像のアスペクト比に基づいて、Lanczosアルゴリズムを使用してFlux Kontextモデルのトレーニング時に使用される最適なサイズに画像をスケーリングします。このノードは、大きなサイズの画像を入力する際に特に便利です。過剰に大きな入力は、モデルの出力品質の低下や、出力に複数の被写体が現れるなどの問題を引き起こす可能性があるためです。 ## 入力 -| パラメータ名 | データ型 | 入力タイプ | デフォルト値 | 値の範囲 | 説明 | -|----------------|-----------|------------|---------------|-------------|-------------| -| `画像` | IMAGE | 必須 | - | - | リサイズする入力画像 | +| パラメータ名 | 説明 | データ型 | 入力タイプ | デフォルト値 | 値の範囲 | +| --- | --- | --- | --- | --- | --- | +| `画像` | リサイズする入力画像 | IMAGE | 必須 | - | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | リサイズされた画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | リサイズされた画像 | IMAGE | ## プリセットサイズ一覧 @@ -43,4 +41,6 @@ mode: wide | 1392 | 752 | 1.851 | | 1456 | 720 | 2.022 | | 1504 | 688 | 2.186 | -| 1568 | 672 | 2.333 | \ No newline at end of file +| 1568 | 672 | 2.333 | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextImageScale/ja.md) diff --git a/ja/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx b/ja/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx index b3c563116..b8e70c437 100644 --- a/ja/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx +++ b/ja/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx @@ -5,24 +5,24 @@ sidebarTitle: "FluxKontextMultiReferenceLatentMethod" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/en.md) FluxKontextMultiReferenceLatentMethod ノードは、特定の参照潜在変数メソッドを設定することで条件付けデータを変更します。選択されたメソッドを条件付け入力に追加し、その後の生成ステップで参照潜在変数がどのように処理されるかに影響を与えます。このノードは実験的機能としてマークされており、Flux 条件付けシステムの一部です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `コンディショニング` | CONDITIONING | はい | - | 参照潜在変数メソッドで変更される条件付けデータ | -| `参照潜在変数メソッド` | STRING | はい | `"offset"`
`"index"`
`"uxo/uno"`
`"index_timestep_zero"` | 参照潜在変数の処理に使用するメソッド。"uxo" または "uso" が選択された場合は、"uxo" に変換されます。このパラメータは高度な設定としてマークされています。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `コンディショニング` | 参照潜在変数メソッドで変更される条件付けデータ | CONDITIONING | はい | - | +| `参照潜在変数メソッド` | 参照潜在変数の処理に使用するメソッド。"uxo" または "uso" が選択された場合は、"uxo" に変換されます。このパラメータは高度な設定としてマークされています。 | STRING | はい | `"offset"`
`"index"`
`"uxo/uno"`
`"index_timestep_zero"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `コンディショニング` | CONDITIONING | 参照潜在変数メソッドが適用された変更後の条件付けデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `コンディショニング` | 参照潜在変数メソッドが適用された変更後の条件付けデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/ja.md) --- **Source fingerprint (SHA-256):** `9d39a8fee08ae347a745b20b3dc39051ee2f4645392e769247ae32be35491048` diff --git a/ja/built-in-nodes/FluxProCannyNode.mdx b/ja/built-in-nodes/FluxProCannyNode.mdx index bb2051214..38f00d288 100644 --- a/ja/built-in-nodes/FluxProCannyNode.mdx +++ b/ja/built-in-nodes/FluxProCannyNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "FluxProCannyNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProCannyNode/ja.md) - あなたは ComfyUI ノードドキュメントを英語から日本語に翻訳する技術翻訳の専門家です。 ## 翻訳ルール @@ -39,25 +37,27 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `control_image` | IMAGE | はい | - | Cannyエッジ検出制御に使用される入力画像 | -| `prompt` | STRING | いいえ | - | 画像生成のためのプロンプト（デフォルト：空文字列） | -| `prompt_upsampling` | BOOLEAN | いいえ | - | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：False） | -| `canny_low_threshold` | FLOAT | いいえ | 0.01 - 0.99 | Cannyエッジ検出の低しきい値。`skip_preprocessing` が True の場合は無視されます（デフォルト：0.1） | -| `canny_high_threshold` | FLOAT | いいえ | 0.01 - 0.99 | Cannyエッジ検出の高しきい値。`skip_preprocessing` が True の場合は無視されます（デフォルト：0.4） | -| `skip_preprocessing` | BOOLEAN | いいえ | - | 前処理をスキップするかどうか。`control_image` がすでにCanny処理済みの場合は True に設定し、生画像の場合は False に設定します。（デフォルト：False） | -| `guidance` | FLOAT | いいえ | 1 - 100 | 画像生成プロセスのガイダンス強度（デフォルト：30） | -| `steps` | INT | いいえ | 15 - 50 | 画像生成プロセスのステップ数（デフォルト：50） | -| `seed` | INT | いいえ | 0 - 18446744073709551615 | ノイズ生成に使用されるランダムシード。（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `control_image` | Cannyエッジ検出制御に使用される入力画像 | IMAGE | はい | - | +| `prompt` | 画像生成のためのプロンプト（デフォルト：空文字列） | STRING | いいえ | - | +| `prompt_upsampling` | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：False） | BOOLEAN | いいえ | - | +| `canny_low_threshold` | Cannyエッジ検出の低しきい値。`skip_preprocessing` が True の場合は無視されます（デフォルト：0.1） | FLOAT | いいえ | 0.01 - 0.99 | +| `canny_high_threshold` | Cannyエッジ検出の高しきい値。`skip_preprocessing` が True の場合は無視されます（デフォルト：0.4） | FLOAT | いいえ | 0.01 - 0.99 | +| `skip_preprocessing` | 前処理をスキップするかどうか。`control_image` がすでにCanny処理済みの場合は True に設定し、生画像の場合は False に設定します。（デフォルト：False） | BOOLEAN | いいえ | - | +| `guidance` | 画像生成プロセスのガイダンス強度（デフォルト：30） | FLOAT | いいえ | 1 - 100 | +| `steps` | 画像生成プロセスのステップ数（デフォルト：50） | INT | いいえ | 15 - 50 | +| `seed` | ノイズ生成に使用されるランダムシード。（デフォルト：0） | INT | いいえ | 0 - 18446744073709551615 | **注意：** `skip_preprocessing` が True に設定されている場合、制御画像はすでにCannyエッジ画像として処理済みであると想定されるため、`canny_low_threshold` および `canny_high_threshold` パラメータは無視されます。その場合、`control_image` は前処理済み画像として直接使用されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output_image` | IMAGE | 制御画像とプロンプトに基づいて生成された画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output_image` | 制御画像とプロンプトに基づいて生成された画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProCannyNode/ja.md) --- **Source fingerprint (SHA-256):** `dedf55a2b2c183519d7f5be0d9a96abbe40716a247f574fc0d50f10f715949a7` diff --git a/ja/built-in-nodes/FluxProDepthNode.mdx b/ja/built-in-nodes/FluxProDepthNode.mdx index fafed0821..496702bdc 100644 --- a/ja/built-in-nodes/FluxProDepthNode.mdx +++ b/ja/built-in-nodes/FluxProDepthNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "FluxProDepthNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProDepthNode/ja.md) - このノードは、深度制御画像をガイドとして使用して画像を生成します。制御画像とテキストプロンプトを受け取り、制御画像の深度情報とプロンプトの説明の両方に従った新しい画像を作成します。このノードは外部APIに接続して画像生成処理を実行します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `control_image` | IMAGE | はい | - | 画像生成をガイドする深度制御画像 | -| `prompt` | STRING | いいえ | - | 画像生成のためのプロンプト（デフォルト：空文字列） | -| `prompt_upsampling` | BOOLEAN | いいえ | - | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：False） | -| `skip_preprocessing` | BOOLEAN | いいえ | - | 前処理をスキップするかどうか。`control_image`がすでに深度化されている場合はTrueに設定し、生の画像の場合はFalseに設定します。（デフォルト：False） | -| `guidance` | FLOAT | いいえ | 1-100 | 画像生成処理のガイダンス強度（デフォルト：15） | -| `steps` | INT | いいえ | 15-50 | 画像生成処理のステップ数（デフォルト：50） | -| `seed` | INT | いいえ | 0-18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `control_image` | 画像生成をガイドする深度制御画像 | IMAGE | はい | - | +| `prompt` | 画像生成のためのプロンプト（デフォルト：空文字列） | STRING | いいえ | - | +| `prompt_upsampling` | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：False） | BOOLEAN | いいえ | - | +| `skip_preprocessing` | 前処理をスキップするかどうか。`control_image`がすでに深度化されている場合はTrueに設定し、生の画像の場合はFalseに設定します。（デフォルト：False） | BOOLEAN | いいえ | - | +| `guidance` | 画像生成処理のガイダンス強度（デフォルト：15） | FLOAT | いいえ | 1-100 | +| `steps` | 画像生成処理のステップ数（デフォルト：50） | INT | いいえ | 15-50 | +| `seed` | ノイズ生成に使用されるランダムシード（デフォルト：0） | INT | いいえ | 0-18446744073709551615 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output_image` | IMAGE | 深度制御画像とプロンプトに基づいて生成された画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output_image` | 深度制御画像とプロンプトに基づいて生成された画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProDepthNode/ja.md) --- **Source fingerprint (SHA-256):** `34b80d7d63158b7dc4ad02da6b3a573b713d77efd0955d3477409f776f964462` diff --git a/ja/built-in-nodes/FluxProExpandNode.mdx b/ja/built-in-nodes/FluxProExpandNode.mdx index a595a0c96..3219cf6a5 100644 --- a/ja/built-in-nodes/FluxProExpandNode.mdx +++ b/ja/built-in-nodes/FluxProExpandNode.mdx @@ -5,32 +5,32 @@ sidebarTitle: "FluxProExpandNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProExpandNode/ja.md) - このドキュメントは AI が生成したものです。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProExpandNode/en.md) プロンプトに基づいて画像を外側に拡張します。このノードは、画像の上、下、左、右にピクセルを追加し、指定されたテキスト説明に合致する新しいコンテンツを生成することで画像を拡張します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 拡張する入力画像 | -| `プロンプト` | STRING | いいえ | - | 画像生成のためのプロンプト（デフォルト: ""） | -| `プロンプトアップサンプリング` | BOOLEAN | いいえ | - | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト: False） | -| `上` | INT | いいえ | 0-2048 | 画像の上部に拡張するピクセル数（デフォルト: 0） | -| `下` | INT | いいえ | 0-2048 | 画像の下部に拡張するピクセル数（デフォルト: 0） | -| `左` | INT | いいえ | 0-2048 | 画像の左側に拡張するピクセル数（デフォルト: 0） | -| `右` | INT | いいえ | 0-2048 | 画像の右側に拡張するピクセル数（デフォルト: 0） | -| `ガイダンス` | FLOAT | いいえ | 1.5-100 | 画像生成プロセスのガイダンスの強さ（デフォルト: 60） | -| `ステップ数` | INT | いいえ | 15-50 | 画像生成プロセスのステップ数（デフォルト: 50） | -| `シード` | INT | いいえ | 0-18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト: 0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 拡張する入力画像 | IMAGE | はい | - | +| `プロンプト` | 画像生成のためのプロンプト（デフォルト: ""） | STRING | いいえ | - | +| `プロンプトアップサンプリング` | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト: False） | BOOLEAN | いいえ | - | +| `上` | 画像の上部に拡張するピクセル数（デフォルト: 0） | INT | いいえ | 0-2048 | +| `下` | 画像の下部に拡張するピクセル数（デフォルト: 0） | INT | いいえ | 0-2048 | +| `左` | 画像の左側に拡張するピクセル数（デフォルト: 0） | INT | いいえ | 0-2048 | +| `右` | 画像の右側に拡張するピクセル数（デフォルト: 0） | INT | いいえ | 0-2048 | +| `ガイダンス` | 画像生成プロセスのガイダンスの強さ（デフォルト: 60） | FLOAT | いいえ | 1.5-100 | +| `ステップ数` | 画像生成プロセスのステップ数（デフォルト: 50） | INT | いいえ | 15-50 | +| `シード` | ノイズ生成に使用されるランダムシード（デフォルト: 0） | INT | いいえ | 0-18446744073709551615 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 拡張された出力画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 拡張された出力画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProExpandNode/ja.md) --- **Source fingerprint (SHA-256):** `15b21f1de8a98a6bcde131a61c01b062434c6a959bc563550d613972412973fe` diff --git a/ja/built-in-nodes/FluxProFillNode.mdx b/ja/built-in-nodes/FluxProFillNode.mdx index 0579c636b..6d5553e3c 100644 --- a/ja/built-in-nodes/FluxProFillNode.mdx +++ b/ja/built-in-nodes/FluxProFillNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "FluxProFillNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProFillNode/ja.md) - 以下が翻訳です。 マスクとプロンプトに基づいて画像をインペイントします。このノードはFlux.1モデルを使用して、指定されたテキスト説明に従って画像のマスク領域を塗りつぶし、周囲の画像にマッチする新しいコンテンツを生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | インペイントする入力画像 | -| `マスク` | MASK | はい | - | 画像のどの領域を塗りつぶすかを定義するマスク | -| `プロンプト` | STRING | いいえ | - | 画像生成のためのプロンプト（デフォルト：空文字列） | -| `プロンプトアップサンプリング` | BOOLEAN | いいえ | - | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：false） | -| `ガイダンス` | FLOAT | いいえ | 1.5-100 | 画像生成プロセスのガイダンスの強さ（デフォルト：60） | -| `ステップ数` | INT | いいえ | 15-50 | 画像生成プロセスのステップ数（デフォルト：50） | -| `シード` | INT | いいえ | 0-18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | インペイントする入力画像 | IMAGE | はい | - | +| `マスク` | 画像のどの領域を塗りつぶすかを定義するマスク | MASK | はい | - | +| `プロンプト` | 画像生成のためのプロンプト（デフォルト：空文字列） | STRING | いいえ | - | +| `プロンプトアップサンプリング` | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：false） | BOOLEAN | いいえ | - | +| `ガイダンス` | 画像生成プロセスのガイダンスの強さ（デフォルト：60） | FLOAT | いいえ | 1.5-100 | +| `ステップ数` | 画像生成プロセスのステップ数（デフォルト：50） | INT | いいえ | 15-50 | +| `シード` | ノイズ生成に使用されるランダムシード（デフォルト：0） | INT | いいえ | 0-18446744073709551615 | ## 出力 -| 出力名 | データ型 | 説明 | -|-----------|-----------|-------------| -| `output_image` | IMAGE | プロンプトに従ってマスク領域が塗りつぶされた生成画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output_image` | プロンプトに従ってマスク領域が塗りつぶされた生成画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProFillNode/ja.md) --- **Source fingerprint (SHA-256):** `ae2708d9e4b99ecb142fca0693c3973957c5677e8121eb5e34d30f872d7102c0` diff --git a/ja/built-in-nodes/FluxProImageNode.mdx b/ja/built-in-nodes/FluxProImageNode.mdx index 700d65c88..a81d66042 100644 --- a/ja/built-in-nodes/FluxProImageNode.mdx +++ b/ja/built-in-nodes/FluxProImageNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "FluxProImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProImageNode/ja.md) - 以下が翻訳結果です。 プロンプトと解像度に基づいて同期的に画像を生成します。このノードは、Flux 1.1 Pro モデルを使用し、API エンドポイントにリクエストを送信して、完全なレスポンスが返ってくるのを待ってから生成画像を出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空文字列） | -| `prompt_upsampling` | BOOLEAN | はい | - | プロンプトに対してアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：False） | -| `width` | INT | はい | 256-1440 | 画像の幅（ピクセル単位）（デフォルト：1024、ステップ：32） | -| `height` | INT | はい | 256-1440 | 画像の高さ（ピクセル単位）（デフォルト：768、ステップ：32） | -| `seed` | INT | はい | 0-18446744073709551615 | ノイズ生成に使用されるランダムシード。（デフォルト：0） | -| `image_prompt` | IMAGE | いいえ | - | 生成をガイドするためのオプションの参照画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | 画像生成のためのプロンプト（デフォルト：空文字列） | STRING | はい | - | +| `prompt_upsampling` | プロンプトに対してアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：False） | BOOLEAN | はい | - | +| `width` | 画像の幅（ピクセル単位）（デフォルト：1024、ステップ：32） | INT | はい | 256-1440 | +| `height` | 画像の高さ（ピクセル単位）（デフォルト：768、ステップ：32） | INT | はい | 256-1440 | +| `seed` | ノイズ生成に使用されるランダムシード。（デフォルト：0） | INT | はい | 0-18446744073709551615 | +| `image_prompt` | 生成をガイドするためのオプションの参照画像 | IMAGE | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | API から返された生成画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | API から返された生成画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProImageNode/ja.md) --- **Source fingerprint (SHA-256):** `89316d84f364854541157b5b60bae3d4e25024bd4af61a47a1748c6671b463c1` diff --git a/ja/built-in-nodes/FluxProUltraImageNode.mdx b/ja/built-in-nodes/FluxProUltraImageNode.mdx index a614dc056..2bf9daeae 100644 --- a/ja/built-in-nodes/FluxProUltraImageNode.mdx +++ b/ja/built-in-nodes/FluxProUltraImageNode.mdx @@ -5,31 +5,31 @@ sidebarTitle: "FluxProUltraImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProUltraImageNode/ja.md) - 以下が翻訳結果です。 プロンプトと解像度に基づいて、API経由でFlux Pro 1.1 Ultraを使用して画像を生成します。このノードは外部サービスに接続し、テキストによる説明と指定された寸法に従って画像を作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空文字列） | -| `プロンプトアップサンプリング` | BOOLEAN | いいえ | - | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：False） | -| `シード` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用されるランダムシード。（デフォルト：0） | -| `アスペクト比` | STRING | いいえ | - | 画像のアスペクト比。1:4 から 4:1 の間である必要があります。（デフォルト："16:9"） | -| `生画像` | BOOLEAN | いいえ | - | Trueの場合、加工が少なく、より自然な見た目の画像を生成します。（デフォルト：False） | -| `画像プロンプト` | IMAGE | いいえ | - | 生成をガイドするオプションの参照画像 | -| `画像プロンプト強度` | FLOAT | いいえ | 0.0 ～ 1.0 | プロンプトと画像プロンプトのブレンド率。（デフォルト：0.1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 画像生成のためのプロンプト（デフォルト：空文字列） | STRING | はい | - | +| `プロンプトアップサンプリング` | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：False） | BOOLEAN | いいえ | - | +| `シード` | ノイズ生成に使用されるランダムシード。（デフォルト：0） | INT | いいえ | 0 ～ 18446744073709551615 | +| `アスペクト比` | 画像のアスペクト比。1:4 から 4:1 の間である必要があります。（デフォルト："16:9"） | STRING | いいえ | - | +| `生画像` | Trueの場合、加工が少なく、より自然な見た目の画像を生成します。（デフォルト：False） | BOOLEAN | いいえ | - | +| `画像プロンプト` | 生成をガイドするオプションの参照画像 | IMAGE | いいえ | - | +| `画像プロンプト強度` | プロンプトと画像プロンプトのブレンド率。（デフォルト：0.1） | FLOAT | いいえ | 0.0 ～ 1.0 | **注記：** `aspect_ratio` パラメータは 1:4 から 4:1 の間である必要があります。`image_prompt` が指定された場合、`image_prompt_strength` が有効になり、参照画像が最終出力に与える影響の度合いを制御します。`image_prompt` が指定されていない場合は、`prompt` パラメータが空でないことが検証されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output_image` | IMAGE | Flux Pro 1.1 Ultra によって生成された画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output_image` | Flux Pro 1.1 Ultra によって生成された画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProUltraImageNode/ja.md) --- **Source fingerprint (SHA-256):** `8632aeb76e9007d65d7f3fd51465fe78f56ba92264ef65ce505db2fc95cfd25b` diff --git a/ja/built-in-nodes/FluxVTONode.mdx b/ja/built-in-nodes/FluxVTONode.mdx new file mode 100644 index 000000000..37263a00a --- /dev/null +++ b/ja/built-in-nodes/FluxVTONode.mdx @@ -0,0 +1,30 @@ +--- +title: "FluxVTONode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxVTONode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxVTONode" +icon: "circle" +mode: wide +--- +# Flux バーチャル試着 + +このノードは、提供された衣服画像を人物に着せてバーチャル試着を実行します。BFL Flux VTO API を使用して、指定された衣服を着用した人物のリアルな画像を生成します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `人物` | 着せ替え対象となる人物の画像です。 | IMAGE | はい | - | +| `衣服` | 適用する衣服の画像です。 | IMAGE | はい | - | +| `プロンプト` | オプションの自然言語によるスタイリング指示です（例：衣服のフィット感など）。 | STRING | いいえ | - | +| `シード` | ノイズ生成に使用されるランダムシードです。 | INT | いいえ | 0 から 18446744073709551615 | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `image` | 提供された衣服を着用した人物を示す結果画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxVTONode/ja.md) + +--- +**Source fingerprint (SHA-256):** `137c4cf91a539605ade93a428567619fea9e6a71459dd92354878fa2f2ea4afa` diff --git a/ja/built-in-nodes/FrameInterpolate.mdx b/ja/built-in-nodes/FrameInterpolate.mdx index 54ad22f4e..e5a689284 100644 --- a/ja/built-in-nodes/FrameInterpolate.mdx +++ b/ja/built-in-nodes/FrameInterpolate.mdx @@ -5,8 +5,6 @@ sidebarTitle: "FrameInterpolate" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolate/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,17 +13,19 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `補間モデル` | MODEL | はい | - | 中間フレーム生成に使用するフレーム補間モデル | -| `画像` | IMAGE | はい | - | 補間処理を行う連続画像（フレーム）のバッチ。最低2枚の画像が必要です。 | -| `倍率` | INT | はい | 2～16 | フレーム数を何倍に増やすかを指定します。例えば、乗数2ではフレーム数が2倍になります。（デフォルト：2） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `補間モデル` | 中間フレーム生成に使用するフレーム補間モデル | MODEL | はい | - | +| `画像` | 補間処理を行う連続画像（フレーム）のバッチ。最低2枚の画像が必要です。 | IMAGE | はい | - | +| `倍率` | フレーム数を何倍に増やすかを指定します。例えば、乗数2ではフレーム数が2倍になります。（デフォルト：2） | INT | はい | 2～16 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | 元のフレーム間に補間フレームが挿入された新しい画像バッチ。より滑らかなシーケンスになります。出力フレームの総数は `（入力フレーム数 - 1）× 乗数 + 1` となります。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | 元のフレーム間に補間フレームが挿入された新しい画像バッチ。より滑らかなシーケンスになります。出力フレームの総数は `（入力フレーム数 - 1）× 乗数 + 1` となります。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolate/ja.md) --- **Source fingerprint (SHA-256):** `05fdac188d9d7c7d5cac9ade55ba22cc743395b3c659a519ca03fe293b9a6e34` diff --git a/ja/built-in-nodes/FrameInterpolationModelLoader.mdx b/ja/built-in-nodes/FrameInterpolationModelLoader.mdx index 54adc74ca..8a564f6f8 100644 --- a/ja/built-in-nodes/FrameInterpolationModelLoader.mdx +++ b/ja/built-in-nodes/FrameInterpolationModelLoader.mdx @@ -5,8 +5,6 @@ sidebarTitle: "FrameInterpolationModelLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolationModelLoader/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,15 +13,17 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル名` | STRING | はい | `frame_interpolation` フォルダ内のモデルファイル一覧 | 読み込むフレーム補間モデルを選択します。モデルは 'frame_interpolation' フォルダに配置する必要があります。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル名` | 読み込むフレーム補間モデルを選択します。モデルは 'frame_interpolation' フォルダに配置する必要があります。 | STRING | はい | `frame_interpolation` フォルダ内のモデルファイル一覧 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `FRAME_INTERPOLATION_MODEL` | MODEL | 読み込まれ設定済みのフレーム補間モデルです。他のノードで使用する準備が整っています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `FRAME_INTERPOLATION_MODEL` | 読み込まれ設定済みのフレーム補間モデルです。他のノードで使用する準備が整っています。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolationModelLoader/ja.md) --- **Source fingerprint (SHA-256):** `497c20d5123bcbfd321dc4a659250ce3e0903e55c3a0274d3ed45710d75573d9` diff --git a/ja/built-in-nodes/FreSca.mdx b/ja/built-in-nodes/FreSca.mdx index bb1f3f781..1dfbb9b52 100644 --- a/ja/built-in-nodes/FreSca.mdx +++ b/ja/built-in-nodes/FreSca.mdx @@ -5,24 +5,24 @@ sidebarTitle: "FreSca" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreSca/ja.md) - FreSca ノードは、サンプリングプロセス中にガイダンスに対して周波数依存のスケーリングを適用します。フーリエフィルタリングを使用してガイダンス信号を低周波成分と高周波成分に分離し、各周波数範囲に異なるスケーリング係数を適用した後、再結合します。これにより、生成出力のさまざまな側面に対するガイダンスの影響をより細かく制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 周波数スケーリングを適用するモデル | -| `scale_low` | FLOAT | いいえ | 0 - 10 | 低周波成分のスケーリング係数（デフォルト：1.0） | -| `scale_high` | FLOAT | いいえ | 0 - 10 | 高周波成分のスケーリング係数（デフォルト：1.25） | -| `freq_cutoff` | INT | いいえ | 1 - 10000 | 低周波とみなす中心からの周波数インデックス数（デフォルト：20） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 周波数スケーリングを適用するモデル | MODEL | はい | - | +| `scale_low` | 低周波成分のスケーリング係数（デフォルト：1.0） | FLOAT | いいえ | 0 - 10 | +| `scale_high` | 高周波成分のスケーリング係数（デフォルト：1.25） | FLOAT | いいえ | 0 - 10 | +| `freq_cutoff` | 低周波とみなす中心からの周波数インデックス数（デフォルト：20） | INT | いいえ | 1 - 10000 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | ガイダンス関数に周波数依存のスケーリングが適用された変更済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | ガイダンス関数に周波数依存のスケーリングが適用された変更済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreSca/ja.md) --- **Source fingerprint (SHA-256):** `254a28847e082739f80c9637d9657ef618d40db1862b6856c1cda22436438ded` diff --git a/ja/built-in-nodes/FreeU.mdx b/ja/built-in-nodes/FreeU.mdx index c61da8007..53e7baedb 100644 --- a/ja/built-in-nodes/FreeU.mdx +++ b/ja/built-in-nodes/FreeU.mdx @@ -5,25 +5,25 @@ sidebarTitle: "FreeU" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU/ja.md) - FreeUノードは、モデルの出力ブロックに周波数領域の変更を適用し、画像生成品質を向上させます。異なるチャンネルグループをスケーリングし、特定の特徴マップにフーリエフィルタリングを適用することで、生成プロセス中のモデルの動作を細かく制御できるようにします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | FreeUの変更を適用するモデル | -| `b1` | FLOAT | はい | 0.0 - 10.0 | model_channels × 4 特徴量に対するバックボーンスケーリング係数（デフォルト：1.1） | -| `b2` | FLOAT | はい | 0.0 - 10.0 | model_channels × 2 特徴量に対するバックボーンスケーリング係数（デフォルト：1.2） | -| `s1` | FLOAT | はい | 0.0 - 10.0 | model_channels × 4 特徴量に対するスキップ接続スケーリング係数（デフォルト：0.9） | -| `s2` | FLOAT | はい | 0.0 - 10.0 | model_channels × 2 特徴量に対するスキップ接続スケーリング係数（デフォルト：0.2） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | FreeUの変更を適用するモデル | MODEL | はい | - | +| `b1` | model_channels × 4 特徴量に対するバックボーンスケーリング係数（デフォルト：1.1） | FLOAT | はい | 0.0 - 10.0 | +| `b2` | model_channels × 2 特徴量に対するバックボーンスケーリング係数（デフォルト：1.2） | FLOAT | はい | 0.0 - 10.0 | +| `s1` | model_channels × 4 特徴量に対するスキップ接続スケーリング係数（デフォルト：0.9） | FLOAT | はい | 0.0 - 10.0 | +| `s2` | model_channels × 2 特徴量に対するスキップ接続スケーリング係数（デフォルト：0.2） | FLOAT | はい | 0.0 - 10.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | FreeUパッチが適用された変更後のモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | FreeUパッチが適用された変更後のモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU/ja.md) --- **Source fingerprint (SHA-256):** `449a02a4bb5b42eb37fab394bcdc6375e08e369961d633618211ebc5f737ab51` diff --git a/ja/built-in-nodes/FreeU_V2.mdx b/ja/built-in-nodes/FreeU_V2.mdx index 287aace96..be7049487 100644 --- a/ja/built-in-nodes/FreeU_V2.mdx +++ b/ja/built-in-nodes/FreeU_V2.mdx @@ -5,25 +5,25 @@ sidebarTitle: "FreeU_V2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU_V2/ja.md) - FreeU_V2 ノードは、拡散モデルのU-Netアーキテクチャに周波数ベースの変更を適用することで、画像生成品質を向上させます。設定可能なスケーリング係数を使用して、異なるブロックの特徴チャンネルを調整し、追加のトレーニングを必要とせずに出力を改善します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | FreeU拡張を適用する拡散モデル | -| `b1` | FLOAT | はい | 0.0 - 10.0 | 最初のブロックのバックボーン特徴スケーリング係数（デフォルト: 1.3） | -| `b2` | FLOAT | はい | 0.0 - 10.0 | 2番目のブロックのバックボーン特徴スケーリング係数（デフォルト: 1.4） | -| `s1` | FLOAT | はい | 0.0 - 10.0 | 最初のブロックのスキップ特徴スケーリング係数（デフォルト: 0.9） | -| `s2` | FLOAT | はい | 0.0 - 10.0 | 2番目のブロックのスキップ特徴スケーリング係数（デフォルト: 0.2） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | FreeU拡張を適用する拡散モデル | MODEL | はい | - | +| `b1` | 最初のブロックのバックボーン特徴スケーリング係数（デフォルト: 1.3） | FLOAT | はい | 0.0 - 10.0 | +| `b2` | 2番目のブロックのバックボーン特徴スケーリング係数（デフォルト: 1.4） | FLOAT | はい | 0.0 - 10.0 | +| `s1` | 最初のブロックのスキップ特徴スケーリング係数（デフォルト: 0.9） | FLOAT | はい | 0.0 - 10.0 | +| `s2` | 2番目のブロックのスキップ特徴スケーリング係数（デフォルト: 0.2） | FLOAT | はい | 0.0 - 10.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | FreeU変更が適用された拡張拡散モデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | FreeU変更が適用された拡張拡散モデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU_V2/ja.md) --- **Source fingerprint (SHA-256):** `40ded64177e8e00cc5d8d5dde35c20958a77c500dada725572b64484c5ce1045` diff --git a/ja/built-in-nodes/GITSScheduler.mdx b/ja/built-in-nodes/GITSScheduler.mdx index 769d16167..c59c7f02e 100644 --- a/ja/built-in-nodes/GITSScheduler.mdx +++ b/ja/built-in-nodes/GITSScheduler.mdx @@ -5,25 +5,25 @@ sidebarTitle: "GITSScheduler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GITSScheduler/ja.md) - GITSSchedulerノードは、GITS（Generative Iterative Time Steps）サンプリング手法のためのノイズスケジュールシグマを生成します。係数パラメータとステップ数に基づいてシグマ値を計算し、オプションのノイズ除去係数によって使用する総ステップ数を減らすことができます。このノードは、事前定義されたノイズレベルと補間を使用して、最終的なシグマスケジュールを作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `係数` | FLOAT | はい | 0.80 - 1.50 | ノイズスケジュール曲線を制御する係数値（デフォルト: 1.20） | -| `ステップ` | INT | はい | 2 - 1000 | シグマを生成するためのサンプリングステップの総数（デフォルト: 10） | -| `ノイズ除去` | FLOAT | はい | 0.0 - 1.0 | 使用するステップ数を減らすノイズ除去係数（デフォルト: 1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `係数` | ノイズスケジュール曲線を制御する係数値（デフォルト: 1.20） | FLOAT | はい | 0.80 - 1.50 | +| `ステップ` | シグマを生成するためのサンプリングステップの総数（デフォルト: 10） | INT | はい | 2 - 1000 | +| `ノイズ除去` | 使用するステップ数を減らすノイズ除去係数（デフォルト: 1.0） | FLOAT | はい | 0.0 - 1.0 | **注記:** `denoise` が 0.0 に設定されている場合、ノードは空のテンソルを返します。`denoise` が 1.0 未満の場合、実際に使用されるステップ数は `round(steps * denoise)` として計算されます。steps が 20 より大きい場合、ノードは対数線形補間を使用して、事前定義されたノイズレベルを目的のステップ数に拡張します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | ノイズスケジュール用に生成されたシグマ値 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sigmas` | ノイズスケジュール用に生成されたシグマ値 | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GITSScheduler/ja.md) --- **Source fingerprint (SHA-256):** `b81b85f95236276822429ec7cbc90204c6f4f86ea3e89ed8b7c2aea40597fea9` diff --git a/ja/built-in-nodes/GLIGENLoader.mdx b/ja/built-in-nodes/GLIGENLoader.mdx index a998e82ee..01027e425 100644 --- a/ja/built-in-nodes/GLIGENLoader.mdx +++ b/ja/built-in-nodes/GLIGENLoader.mdx @@ -5,20 +5,20 @@ sidebarTitle: "GLIGENLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLIGENLoader/ja.md) - このノードは、`ComfyUI/models/gligen` フォルダ内にあるモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み込めるようにする必要があります。 `GLIGENLoader` ノードは、特殊な生成モデルである GLIGEN モデルを読み込むために設計されています。このノードは、指定されたパスからこれらのモデルを取得して初期化するプロセスを容易にし、後続の生成タスクに備えさせます。 ## 入力 -| フィールド | Comfy データ型 | 説明 | -|-------------|-------------------|-----------------------------------------------------------------------------------| -| `gligen_name`| `COMBO[STRING]` | 読み込む GLIGEN モデルの名前です。取得して読み込むモデルファイルを指定し、GLIGEN モデルの初期化に不可欠です。 | +| フィールド | 説明 | Comfy データ型 | +| --- | --- | --- | +| `gligen_name` | 読み込む GLIGEN モデルの名前です。取得して読み込むモデルファイルを指定し、GLIGEN モデルの初期化に不可欠です。 | `COMBO[STRING]` | ## 出力 -| フィールド | データ型 | 説明 | -|----------|-------------|--------------------------------------------------------------------------| -| `gligen` | `GLIGEN` | 読み込まれた GLIGEN モデルです。生成タスクで使用できる状態であり、指定されたパスから読み込まれ、完全に初期化されたモデルを表します。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `gligen` | 読み込まれた GLIGEN モデルです。生成タスクで使用できる状態であり、指定されたパスから読み込まれ、完全に初期化されたモデルを表します。 | `GLIGEN` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLIGENLoader/ja.md) diff --git a/ja/built-in-nodes/GLIGENTextBoxApply.mdx b/ja/built-in-nodes/GLIGENTextBoxApply.mdx index 75941674a..181ac7980 100644 --- a/ja/built-in-nodes/GLIGENTextBoxApply.mdx +++ b/ja/built-in-nodes/GLIGENTextBoxApply.mdx @@ -5,25 +5,25 @@ sidebarTitle: "GLIGENTextBoxApply" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLIGENTextBoxApply/ja.md) - `GLIGENTextBoxApply` ノードは、テキストベースの条件付けを生成モデルの入力に統合するために設計されています。具体的には、テキストボックスのパラメータを適用し、CLIPモデルを使用してそれらをエンコードします。このプロセスにより、空間情報とテキスト情報が条件付けに追加され、より正確でコンテキストを考慮した生成が可能になります。 ## 入力 -| パラメータ | Comfy dtype | 説明 | -|----------------------|--------------------|-------------| -| `条件付け先` | `CONDITIONING` | テキストボックスのパラメータとエンコードされたテキスト情報が追加される、初期の条件付け入力を指定します。新しい条件付けデータを統合することで、最終的な出力を決定する上で重要な役割を果たします。 | -| `クリップ` | `CLIP` | 提供されたテキストを生成モデルで利用可能な形式にエンコードするために使用されるCLIPモデルです。テキスト情報を互換性のある条件付け形式に変換するために不可欠です。 | -| `gligen_textbox_model` | `GLIGEN` | テキストボックスを生成するために使用される、特定のGLIGENモデル設定を表します。テキストボックスが所望の仕様に従って生成されることを保証するために重要です。 | -| `テキスト` | `STRING` | エンコードされ条件付けに統合されるテキストコンテンツです。生成モデルを導く意味情報を提供します。 | -| `幅` | `INT` | テキストボックスの幅（ピクセル単位）です。生成画像内におけるテキストボックスの空間的な寸法を定義します。 | -| `高さ` | `INT` | テキストボックスの高さ（ピクセル単位）です。幅と同様に、生成画像内におけるテキストボックスの空間的な寸法を定義します。 | -| `x` | `INT` | 生成画像内におけるテキストボックスの左上隅のX座標です。テキストボックスの水平方向の位置を指定します。 | -| `y` | `INT` | 生成画像内におけるテキストボックスの左上隅のY座標です。テキストボックスの垂直方向の位置を指定します。 | +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `条件付け先` | テキストボックスのパラメータとエンコードされたテキスト情報が追加される、初期の条件付け入力を指定します。新しい条件付けデータを統合することで、最終的な出力を決定する上で重要な役割を果たします。 | `CONDITIONING` | +| `クリップ` | 提供されたテキストを生成モデルで利用可能な形式にエンコードするために使用されるCLIPモデルです。テキスト情報を互換性のある条件付け形式に変換するために不可欠です。 | `CLIP` | +| `gligen_textbox_model` | テキストボックスを生成するために使用される、特定のGLIGENモデル設定を表します。テキストボックスが所望の仕様に従って生成されることを保証するために重要です。 | `GLIGEN` | +| `テキスト` | エンコードされ条件付けに統合されるテキストコンテンツです。生成モデルを導く意味情報を提供します。 | `STRING` | +| `幅` | テキストボックスの幅（ピクセル単位）です。生成画像内におけるテキストボックスの空間的な寸法を定義します。 | `INT` | +| `高さ` | テキストボックスの高さ（ピクセル単位）です。幅と同様に、生成画像内におけるテキストボックスの空間的な寸法を定義します。 | `INT` | +| `x` | 生成画像内におけるテキストボックスの左上隅のX座標です。テキストボックスの水平方向の位置を指定します。 | `INT` | +| `y` | 生成画像内におけるテキストボックスの左上隅のY座標です。テキストボックスの垂直方向の位置を指定します。 | `INT` | ## 出力 -| パラメータ | Comfy dtype | 説明 | -|----------------------|--------------------|-------------| -| `conditioning` | `CONDITIONING` | 元の条件付けデータに、新たに追加されたテキストボックスのパラメータとエンコードされたテキスト情報を含む、拡張された条件付け出力です。コンテキストを考慮した出力を生成するために生成モデルを導くために使用されます。 | \ No newline at end of file +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `conditioning` | 元の条件付けデータに、新たに追加されたテキストボックスのパラメータとエンコードされたテキスト情報を含む、拡張された条件付け出力です。コンテキストを考慮した出力を生成するために生成モデルを導くために使用されます。 | `CONDITIONING` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLIGENTextBoxApply/ja.md) diff --git a/ja/built-in-nodes/GLSLShader.mdx b/ja/built-in-nodes/GLSLShader.mdx index 1db8759b2..db14054fd 100644 --- a/ja/built-in-nodes/GLSLShader.mdx +++ b/ja/built-in-nodes/GLSLShader.mdx @@ -5,8 +5,6 @@ sidebarTitle: "GLSLShader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひコントリビュートしてください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLSLShader/ja.md) - The **GLSL Shader** node lets you write custom fragment shaders in **GLSL ES 3.00** (WebGL 2.0 compatible) to process images directly on the GPU. You can create image effects like blurs, color grading, film grain, glow, and much more - all running at GPU speed. @@ -41,21 +39,21 @@ These uniforms are automatically set by ComfyUI. You don't need to declare all o ### Images -| Uniform | Type | Description | -|---------|------|-------------| -| `u_image0` – `u_image4` | `sampler2D` | Input images (up to 5). Sampled with `texture(u_image0, v_texCoord)`. Images are RGBA float textures with linear filtering and clamp-to-edge wrapping. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_image0` – `u_image4` | Input images (up to 5). Sampled with `texture(u_image0, v_texCoord)`. Images are RGBA float textures with linear filtering and clamp-to-edge wrapping. | `sampler2D` | ### Floats -| Uniform | Type | Description | -|---------|------|-------------| -| `u_float0` – `u_float19` | `float` | Up to 20 user-controlled float values. Mapped from the **floats** input group on the node. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_float0` – `u_float19` | Up to 20 user-controlled float values. Mapped from the **floats** input group on the node. | `float` | ### Integers -| Uniform | Type | Description | -|---------|------|-------------| -| `u_int0` – `u_int19` | `int` | Up to 20 user-controlled integer values. Mapped from the **ints** input group on the node. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_int0` – `u_int19` | Up to 20 user-controlled integer values. Mapped from the **ints** input group on the node. | `int` | **Using int uniforms as dropdowns:** Int uniforms pair well with the **Custom Combo** node's index output - users pick an option from a dropdown and the shader receives the selected item's index. @@ -75,15 +73,15 @@ if (u_int0 == BLEND_SCREEN) { ### Booleans -| Uniform | Type | Description | -|---------|------|-------------| -| `u_bool0` – `u_bool9` | `bool` | Up to 10 user-controlled boolean values. Mapped from the **bools** input group on the node. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_bool0` – `u_bool9` | Up to 10 user-controlled boolean values. Mapped from the **bools** input group on the node. | `bool` | ### Curves (1D LUTs) -| Uniform | Type | Description | -|---------|------|-------------| -| `u_curve0` – `u_curve3` | `sampler2D` | Up to 4 user-editable curve LUTs from the **curves** input group. Each curve is a 1D lookup table stored as a single-row texture. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_curve0` – `u_curve3` | Up to 4 user-editable curve LUTs from the **curves** input group. Each curve is a 1D lookup table stored as a single-row texture. | `sampler2D` | **Using curve uniforms:** Curves let users draw arbitrary tone-mapping graphs in the UI (e.g. for contrast, gamma, per-channel grading, or any custom `input → output` remap). Sample the curve using your input value as the X coordinate - remember to clamp it to `[0, 1]` first: @@ -104,9 +102,9 @@ Common uses: master RGB curves, per-channel R/G/B curves, luminance-driven remap ### Resolution -| Uniform | Type | Description | -|---------|------|-------------| -| `u_resolution` | `vec2` | **Output** framebuffer dimensions in pixels (`width, height`). This is the size you're writing to, which may differ from any input image's size when `size_mode` is `"custom"`. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_resolution` | **Output** framebuffer dimensions in pixels (`width, height`). This is the size you're writing to, which may differ from any input image's size when `size_mode` is `"custom"`. | `vec2` | **Computing texel size for sampling:** Don't use `1.0 / u_resolution` to step one pixel in an input texture. `u_resolution` is the *output* size, which may not match the input's size. Instead use `textureSize()` on the actual texture you're sampling: @@ -120,15 +118,15 @@ Use `u_resolution` only when you need the output framebuffer dimensions themselv ### Multi-Pass -| Uniform | Type | Description | -|---------|------|-------------| -| `u_pass` | `int` | Current pass index (0-based). Only meaningful when using `#pragma passes` - see [Multi-Pass Ping-Pong Rendering](#multi-pass-ping-pong-rendering) for details. | +| Uniform | Description | Type | +| --- | --- | --- | +| `u_pass` | Current pass index (0-based). Only meaningful when using `#pragma passes` - see [Multi-Pass Ping-Pong Rendering](#multi-pass-ping-pong-rendering) for details. | `int` | ### Vertex Shader Output -| Varying | Type | Description | -|---------|------|-------------| -| `v_texCoord` | `vec2` | Texture coordinates ranging from (0,0) at bottom-left to (1,1) at top-right. | +| Varying | Description | Type | +| --- | --- | --- | +| `v_texCoord` | Texture coordinates ranging from (0,0) at bottom-left to (1,1) at top-right. | `vec2` | ## Multiple Outputs (MRT) @@ -301,5 +299,7 @@ void main() { > **Effect I want:** A chromatic aberration effect that splits RGB channels outward from the center of the image. u_float0 controls the strength of the offset (0 = no effect, 10 = extremely strong). The offset should scale with distance from the center. +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLSLShader/ja.md) + --- **Source fingerprint (SHA-256):** `7830977409a5efab205b7c927eb83499a9e1e8299959b34643c9c3f1f586c058` diff --git a/ja/built-in-nodes/GeminiImage.mdx b/ja/built-in-nodes/GeminiImage.mdx index 910825821..c8c1b53e3 100644 --- a/ja/built-in-nodes/GeminiImage.mdx +++ b/ja/built-in-nodes/GeminiImage.mdx @@ -6,8 +6,6 @@ icon: "circle" mode: wide translationSourceHash: 65c86faa translationFrom: built-in-nodes/GeminiImage.mdx, zh/built-in-nodes/GeminiImage.mdx -translationMismatches: - - "description" --- > このドキュメントは AI によって生成されました。誤りを発見された場合や、改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage/en.md) diff --git a/ja/built-in-nodes/GeminiImage2Node.mdx b/ja/built-in-nodes/GeminiImage2Node.mdx index 6ece3433a..83fca4020 100644 --- a/ja/built-in-nodes/GeminiImage2Node.mdx +++ b/ja/built-in-nodes/GeminiImage2Node.mdx @@ -5,25 +5,23 @@ sidebarTitle: "GeminiImage2Node" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage2Node/ja.md) - 以下が翻訳結果です。 GeminiImage2Node は、Google の Vertex AI Gemini モデルを使用して画像を生成または編集します。テキストプロンプトと、オプションの参照画像やファイルを API に送信し、生成された画像やテキストによる説明を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | N/A | 生成する画像や適用する編集内容を説明するテキストプロンプトです。モデルが従うべき制約、スタイル、詳細を含めてください。 | -| `モデル` | COMBO | はい | `"gemini-3-pro-image-preview"`
`"Nano Banana 2 (Gemini 3.1 Flash Image)"` | 生成に使用する特定の Gemini モデルです。"Nano Banana 2" オプションは、内部的に `gemini-3.1-flash-image-preview` モデルにマッピングされます。 | -| `シード` | INT | はい | 0 から 18446744073709551615 | 特定の値に固定すると、モデルは繰り返しリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。モデルやその他の設定を変更すると、同じシード値でも結果が異なる場合があります。デフォルト: 42。 | -| `アスペクト比` | COMBO | はい | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"4:5"`
`"5:4"`
`"9:16"`
`"16:9"`
`"21:9"` | 出力画像の希望するアスペクト比です。"auto" に設定すると、入力画像のアスペクト比に合わせます。画像が提供されない場合は、通常 16:9 の正方形が生成されます。デフォルト: "auto"。 | -| `解像度` | COMBO | はい | `"1K"`
`"2K"`
`"4K"` | ターゲット出力解像度です。2K/4K の場合は、ネイティブの Gemini アップスケーラーが使用されます。 | -| `応答モダリティ` | COMBO | はい | `"IMAGE+TEXT"`
`"IMAGE"` | 画像のみの出力には 'IMAGE' を、生成された画像とテキスト応答の両方を返すには 'IMAGE+TEXT' を選択します。 | -| `画像` | IMAGE | いいえ | N/A | オプションの参照画像です。複数の画像を含めるには、バッチ画像ノードを使用します（最大 14 枚）。 | -| `ファイル` | CUSTOM | いいえ | N/A | モデルのコンテキストとして使用するオプションのファイルです。Gemini Generate Content Input Files ノードからの入力を受け付けます。 | -| `システムプロンプト` | STRING | いいえ | N/A | AI の動作を指示する基本命令です。デフォルト: 画像生成用の事前定義されたシステムプロンプト。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 生成する画像や適用する編集内容を説明するテキストプロンプトです。モデルが従うべき制約、スタイル、詳細を含めてください。 | STRING | はい | N/A | +| `モデル` | 生成に使用する特定の Gemini モデルです。"Nano Banana 2" オプションは、内部的に `gemini-3.1-flash-image-preview` モデルにマッピングされます。 | COMBO | はい | `"gemini-3-pro-image-preview"`
`"Nano Banana 2 (Gemini 3.1 Flash Image)"` | +| `シード` | 特定の値に固定すると、モデルは繰り返しリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。モデルやその他の設定を変更すると、同じシード値でも結果が異なる場合があります。デフォルト: 42。 | INT | はい | 0 から 18446744073709551615 | +| `アスペクト比` | 出力画像の希望するアスペクト比です。"auto" に設定すると、入力画像のアスペクト比に合わせます。画像が提供されない場合は、通常 16:9 の正方形が生成されます。デフォルト: "auto"。 | COMBO | はい | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"4:5"`
`"5:4"`
`"9:16"`
`"16:9"`
`"21:9"` | +| `解像度` | ターゲット出力解像度です。2K/4K の場合は、ネイティブの Gemini アップスケーラーが使用されます。 | COMBO | はい | `"1K"`
`"2K"`
`"4K"` | +| `応答モダリティ` | 画像のみの出力には 'IMAGE' を、生成された画像とテキスト応答の両方を返すには 'IMAGE+TEXT' を選択します。 | COMBO | はい | `"IMAGE+TEXT"`
`"IMAGE"` | +| `画像` | オプションの参照画像です。複数の画像を含めるには、バッチ画像ノードを使用します（最大 14 枚）。 | IMAGE | いいえ | N/A | +| `ファイル` | モデルのコンテキストとして使用するオプションのファイルです。Gemini Generate Content Input Files ノードからの入力を受け付けます。 | CUSTOM | いいえ | N/A | +| `システムプロンプト` | AI の動作を指示する基本命令です。デフォルト: 画像生成用の事前定義されたシステムプロンプト。 | STRING | いいえ | N/A | **制約事項:** @@ -32,10 +30,12 @@ GeminiImage2Node は、Google の Vertex AI Gemini モデルを使用して画 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | Gemini モデルによって生成または編集された画像です。 | -| `string` | STRING | モデルからのテキスト応答です。`応答モダリティ` が "IMAGE" に設定されている場合、この出力は空になります。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | Gemini モデルによって生成または編集された画像です。 | IMAGE | +| `string` | モデルからのテキスト応答です。`応答モダリティ` が "IMAGE" に設定されている場合、この出力は空になります。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage2Node/ja.md) --- **Source fingerprint (SHA-256):** `20a937a635f883a42e22582ae415f6d2a9a6ecc50f147c9090431877e5461144` diff --git a/ja/built-in-nodes/GeminiImageNode.mdx b/ja/built-in-nodes/GeminiImageNode.mdx index c0fb3384d..3dbfba248 100644 --- a/ja/built-in-nodes/GeminiImageNode.mdx +++ b/ja/built-in-nodes/GeminiImageNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "GeminiImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImageNode/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage/en.md) GeminiImageノードは、GoogleのGemini AIモデルからテキストと画像の応答を生成します。テキストプロンプト、画像、ファイルを含むマルチモーダル入力を提供することで、一貫性のあるテキストと画像の出力を作成できます。このノードは、最新のGeminiモデルとのすべてのAPI通信と応答解析を処理します。 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `プロンプト` | STRING | 必須 | "" | - | 生成のためのテキストプロンプト | -| `モデル` | COMBO | 必須 | gemini_2_5_flash_image_preview | 利用可能なGeminiモデル
GeminiImageModel列挙型から抽出されたオプション | 応答生成に使用するGeminiモデル | -| `シード` | INT | 必須 | 42 | 0 ～ 18446744073709551615 | シード値を特定の値に固定すると、モデルは繰り返しのリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。また、モデルや温度などのパラメータ設定を変更すると、同じシード値を使用した場合でも応答にばらつきが生じる可能性があります。デフォルトでは、ランダムなシード値が使用されます | -| `画像` | IMAGE | オプション | None | - | モデルのコンテキストとして使用するオプションの画像。複数の画像を含めるには、Batch Imagesノードを使用できます | -| `ファイル` | GEMINI_INPUT_FILES | オプション | None | - | モデルのコンテキストとして使用するオプションのファイル。Gemini Generate Content Input Filesノードからの入力を受け付けます | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `プロンプト` | 生成のためのテキストプロンプト | STRING | 必須 | "" | - | +| `モデル` | 応答生成に使用するGeminiモデル | COMBO | 必須 | gemini_2_5_flash_image_preview | 利用可能なGeminiモデル
GeminiImageModel列挙型から抽出されたオプション | +| `シード` | シード値を特定の値に固定すると、モデルは繰り返しのリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。また、モデルや温度などのパラメータ設定を変更すると、同じシード値を使用した場合でも応答にばらつきが生じる可能性があります。デフォルトでは、ランダムなシード値が使用されます | INT | 必須 | 42 | 0 ～ 18446744073709551615 | +| `画像` | モデルのコンテキストとして使用するオプションの画像。複数の画像を含めるには、Batch Imagesノードを使用できます | IMAGE | オプション | None | - | +| `ファイル` | モデルのコンテキストとして使用するオプションのファイル。Gemini Generate Content Input Filesノードからの入力を受け付けます | GEMINI_INPUT_FILES | オプション | None | - | *注：このノードには、システムによって自動的に処理され、ユーザー入力が不要な隠しパラメータ（`auth_token`、`comfy_api_key`、`unique_id`）が含まれています。* ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | Geminiモデルから生成された画像応答 | -| `STRING` | STRING | Geminiモデルから生成されたテキスト応答 | \ No newline at end of file +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | Geminiモデルから生成された画像応答 | IMAGE | +| `STRING` | Geminiモデルから生成されたテキスト応答 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImageNode/ja.md) diff --git a/ja/built-in-nodes/GeminiInputFiles.mdx b/ja/built-in-nodes/GeminiInputFiles.mdx index 04d3cfe50..7d241fb9a 100644 --- a/ja/built-in-nodes/GeminiInputFiles.mdx +++ b/ja/built-in-nodes/GeminiInputFiles.mdx @@ -5,26 +5,26 @@ sidebarTitle: "GeminiInputFiles" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiInputFiles/ja.md) - 以下が翻訳結果です。 Gemini API で使用する入力ファイルを読み込み、フォーマットします。このノードを使用すると、テキスト（.txt）ファイルと PDF（.pdf）ファイルを Gemini モデルの入力コンテキストとして含めることができます。ファイルは API が必要とする適切な形式に変換され、複数のファイルを連結して 1 つのリクエストに含めることができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `ファイル` | COMBO | はい | 複数のオプションから選択可能 | モデルのコンテキストとして含める入力ファイル。現時点ではテキスト（.txt）ファイルと PDF（.pdf）ファイルのみを受け付けます。ファイルは最大入力ファイルサイズ制限よりも小さい必要があります。 | -| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | いいえ | なし | このノードで読み込まれたファイルと一緒にバッチ処理する、オプションの追加ファイル。入力ファイルを連結できるため、1 つのメッセージに複数の入力ファイルを含めることができます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ファイル` | モデルのコンテキストとして含める入力ファイル。現時点ではテキスト（.txt）ファイルと PDF（.pdf）ファイルのみを受け付けます。ファイルは最大入力ファイルサイズ制限よりも小さい必要があります。 | COMBO | はい | 複数のオプションから選択可能 | +| `GEMINI_INPUT_FILES` | このノードで読み込まれたファイルと一緒にバッチ処理する、オプションの追加ファイル。入力ファイルを連結できるため、1 つのメッセージに複数の入力ファイルを含めることができます。 | GEMINI_INPUT_FILES | いいえ | なし | **注記:** `file` パラメータには、最大入力ファイルサイズ制限よりも小さいテキスト（.txt）ファイルと PDF（.pdf）ファイルのみが表示されます。ファイルは自動的にフィルタリングされ、名前順に並べ替えられます。 ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | Gemini LLM ノードで使用できるようにフォーマットされたファイルデータ。読み込まれたファイルの内容が適切な API 形式で含まれています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `GEMINI_INPUT_FILES` | Gemini LLM ノードで使用できるようにフォーマットされたファイルデータ。読み込まれたファイルの内容が適切な API 形式で含まれています。 | GEMINI_INPUT_FILES | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiInputFiles/ja.md) --- **Source fingerprint (SHA-256):** `54da8696d144513efa9660fbc5ddbf5480da12eafe4d2791c8e81cd207ef8a52` diff --git a/ja/built-in-nodes/GeminiNanoBanana2.mdx b/ja/built-in-nodes/GeminiNanoBanana2.mdx index df89328f6..5b26de513 100644 --- a/ja/built-in-nodes/GeminiNanoBanana2.mdx +++ b/ja/built-in-nodes/GeminiNanoBanana2.mdx @@ -5,36 +5,36 @@ sidebarTitle: "GeminiNanoBanana2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2/ja.md) - 以下が翻訳結果です。 GeminiNanoBanana2 ノードは、Google の Vertex AI Gemini モデルを使用して画像を生成または編集します。テキストプロンプトと、必要に応じて参照画像やファイルを API に送信し、生成された画像とそれに付随するテキストを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | N/A | 生成する画像や適用する編集内容を説明するテキストプロンプトです。モデルが従うべき制約、スタイル、詳細を含めてください。 | -| `モデル` | COMBO | はい | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | 画像生成に使用する特定の Gemini モデルです。 | -| `シード` | INT | はい | 0 ～ 18446744073709551615 | シードを特定の値に固定すると、モデルは繰り返しリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。また、モデルや temperature などのパラメータ設定を変更すると、同じシード値を使用しても応答にばらつきが生じる可能性があります。デフォルトでは、ランダムなシード値が使用されます。（デフォルト: 42） | -| `アスペクト比` | COMBO | はい | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"4:5"`
`"5:4"`
`"9:16"`
`"16:9"`
`"21:9"` | 'auto' に設定すると、入力画像のアスペクト比に合わせます。画像が提供されない場合は、通常 16:9 の正方形が生成されます。（デフォルト: "auto"） | -| `解像度` | COMBO | はい | `"1K"`
`"2K"`
`"4K"` | ターゲット出力解像度です。2K/4K の場合は、ネイティブの Gemini アップスケーラーが使用されます。 | -| `レスポンスモダリティ` | COMBO | はい | `"IMAGE"`
`"IMAGE+TEXT"` | モデルが返すコンテンツの種類を決定します。（上級者向け） | -| `思考レベル` | COMBO | はい | `"MINIMAL"`
`"HIGH"` | モデルの推論プロセスの深さを制御します。 | -| `画像` | IMAGE | いいえ | N/A | オプションの参照画像です。複数の画像を含めるには、Batch Images ノードを使用してください（最大 14 枚）。 | -| `ファイル` | CUSTOM | いいえ | N/A | モデルのコンテキストとして使用するオプションのファイルです。Gemini Generate Content Input Files ノードからの入力を受け付けます。 | -| `システムプロンプト` | STRING | いいえ | N/A | AI の動作を指示する基本的な指示です。（上級者向け） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 生成する画像や適用する編集内容を説明するテキストプロンプトです。モデルが従うべき制約、スタイル、詳細を含めてください。 | STRING | はい | N/A | +| `モデル` | 画像生成に使用する特定の Gemini モデルです。 | COMBO | はい | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | +| `シード` | シードを特定の値に固定すると、モデルは繰り返しリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。また、モデルや temperature などのパラメータ設定を変更すると、同じシード値を使用しても応答にばらつきが生じる可能性があります。デフォルトでは、ランダムなシード値が使用されます。（デフォルト: 42） | INT | はい | 0 ～ 18446744073709551615 | +| `アスペクト比` | 'auto' に設定すると、入力画像のアスペクト比に合わせます。画像が提供されない場合は、通常 16:9 の正方形が生成されます。（デフォルト: "auto"） | COMBO | はい | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"4:5"`
`"5:4"`
`"9:16"`
`"16:9"`
`"21:9"` | +| `解像度` | ターゲット出力解像度です。2K/4K の場合は、ネイティブの Gemini アップスケーラーが使用されます。 | COMBO | はい | `"1K"`
`"2K"`
`"4K"` | +| `レスポンスモダリティ` | モデルが返すコンテンツの種類を決定します。（上級者向け） | COMBO | はい | `"IMAGE"`
`"IMAGE+TEXT"` | +| `思考レベル` | モデルの推論プロセスの深さを制御します。 | COMBO | はい | `"MINIMAL"`
`"HIGH"` | +| `画像` | オプションの参照画像です。複数の画像を含めるには、Batch Images ノードを使用してください（最大 14 枚）。 | IMAGE | いいえ | N/A | +| `ファイル` | モデルのコンテキストとして使用するオプションのファイルです。Gemini Generate Content Input Files ノードからの入力を受け付けます。 | CUSTOM | いいえ | N/A | +| `システムプロンプト` | AI の動作を指示する基本的な指示です。（上級者向け） | STRING | いいえ | N/A | **注記:** `images` 入力は最大 14 枚の画像をサポートします。それ以上提供された場合、ノードはエラーを発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | モデルによって生成または編集された主要な画像です。 | -| `thought_image` | STRING | モデルによって返されたテキストコンテンツです。 | -| `thought_image` | IMAGE | モデルの思考プロセスからの最初の画像です。thinking_level が HIGH で、かつ response_modalities が IMAGE+TEXT の場合にのみ利用可能です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | モデルによって生成または編集された主要な画像です。 | IMAGE | +| `thought_image` | モデルによって返されたテキストコンテンツです。 | STRING | +| `thought_image` | モデルの思考プロセスからの最初の画像です。thinking_level が HIGH で、かつ response_modalities が IMAGE+TEXT の場合にのみ利用可能です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2/ja.md) --- **Source fingerprint (SHA-256):** `bd53363da73ff0db66a872fc04f1af8ce4dfee1191ca01bd813701b5ad5e4f17` diff --git a/ja/built-in-nodes/GeminiNanoBanana2V2.mdx b/ja/built-in-nodes/GeminiNanoBanana2V2.mdx index 07d958dbc..31bfeec02 100644 --- a/ja/built-in-nodes/GeminiNanoBanana2V2.mdx +++ b/ja/built-in-nodes/GeminiNanoBanana2V2.mdx @@ -5,8 +5,6 @@ sidebarTitle: "GeminiNanoBanana2V2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/ja.md) - このドキュメントは AI によって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md) ## 概要 @@ -15,13 +13,13 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | なし | 生成する画像や適用する編集内容を説明するテキストプロンプトです。モデルが従うべき制約、スタイル、詳細などを含めてください。 | -| `モデル` | COMBO | はい | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | 画像生成に使用する Gemini モデルを選択します。現在は1つのオプションのみ利用可能です。 | -| `シード` | INT | はい | 0 ～ 18446744073709551615 | シード値を固定すると、モデルは繰り返しのリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。また、モデルや temperature などのパラメータ設定を変更すると、同じシード値を使用した場合でも応答にばらつきが生じる可能性があります。デフォルトでは、ランダムなシード値が使用されます。（デフォルト: 42） | -| `応答モダリティ` | COMBO | はい | `"IMAGE"`
`"IMAGE+TEXT"` | 応答の形式を決定します。「IMAGE」を選択すると画像のみ、「IMAGE+TEXT」を選択すると画像とテキスト説明の両方を受け取ります。（デフォルト: "IMAGE"） | -| `システムプロンプト` | STRING | いいえ | なし | AI の動作を指示する基本的な指示です。これは高度なパラメータです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 生成する画像や適用する編集内容を説明するテキストプロンプトです。モデルが従うべき制約、スタイル、詳細などを含めてください。 | STRING | はい | なし | +| `モデル` | 画像生成に使用する Gemini モデルを選択します。現在は1つのオプションのみ利用可能です。 | COMBO | はい | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | +| `シード` | シード値を固定すると、モデルは繰り返しのリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。また、モデルや temperature などのパラメータ設定を変更すると、同じシード値を使用した場合でも応答にばらつきが生じる可能性があります。デフォルトでは、ランダムなシード値が使用されます。（デフォルト: 42） | INT | はい | 0 ～ 18446744073709551615 | +| `応答モダリティ` | 応答の形式を決定します。「IMAGE」を選択すると画像のみ、「IMAGE+TEXT」を選択すると画像とテキスト説明の両方を受け取ります。（デフォルト: "IMAGE"） | COMBO | はい | `"IMAGE"`
`"IMAGE+TEXT"` | +| `システムプロンプト` | AI の動作を指示する基本的な指示です。これは高度なパラメータです。 | STRING | いいえ | なし | **`model` パラメータに関する注意:** `model` パラメータは動的なコンボであり、解像度、アスペクト比、思考レベルに関する追加のサブパラメータを含みます。これらのサブパラメータはモデル選択内で定義されており、この表では個別の入力としてリストされていません。 @@ -29,11 +27,13 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | 生成または編集された画像です。 | -| `思考画像` | STRING | モデルによって生成されたテキスト説明またはキャプションです。 | -| `thought_image` | IMAGE | モデルの思考プロセスからの最初の画像です。thinking_level が HIGH で、かつ IMAGE+TEXT モダリティの場合にのみ利用可能です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | 生成または編集された画像です。 | IMAGE | +| `思考画像` | モデルによって生成されたテキスト説明またはキャプションです。 | STRING | +| `thought_image` | モデルの思考プロセスからの最初の画像です。thinking_level が HIGH で、かつ IMAGE+TEXT モダリティの場合にのみ利用可能です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/ja.md) --- **Source fingerprint (SHA-256):** `6b91afcdd12e08ff0e3afdbb5596bfd63463cda4d2b031019dedf03bd122fa87` diff --git a/ja/built-in-nodes/GeminiNode.mdx b/ja/built-in-nodes/GeminiNode.mdx index 922289504..0407602e0 100644 --- a/ja/built-in-nodes/GeminiNode.mdx +++ b/ja/built-in-nodes/GeminiNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "GeminiNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNode/ja.md) - このノードを使用すると、GoogleのGemini AIモデルと対話し、テキスト応答を生成できます。モデルにより関連性が高く意味のある応答を生成させるためのコンテキストとして、テキスト、画像、音声、動画、ファイルなど、複数の種類の入力を提供できます。このノードは、すべてのAPI通信と応答の解析を自動的に処理します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | モデルへのテキスト入力で、応答の生成に使用されます。詳細な指示、質問、またはコンテキストを含めることができます。デフォルト：空文字列。 | -| `モデル` | COMBO | はい | `gemini-2.5-pro-preview-05-06`
`gemini-2.5-flash-preview-04-17`
`gemini-2.5-pro`
`gemini-2.5-flash`
`gemini-3-pro-preview`
`gemini-3-1-pro`
`gemini-3-1-flash-lite` | 応答生成に使用するGeminiモデル。デフォルト：gemini-3-1-pro。 | -| `シード` | INT | はい | 0 ～ 18446744073709551615 | シード値を特定の値に固定すると、モデルは繰り返しのリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。また、モデルやtemperatureなどのパラメータ設定を変更すると、同じシード値を使用した場合でも応答にばらつきが生じる可能性があります。デフォルトでは、ランダムなシード値が使用されます。デフォルト：42。 | -| `画像` | IMAGE | いいえ | - | モデルのコンテキストとして使用するオプションの画像。複数の画像を含めるには、Batch Imagesノードを使用できます。デフォルト：なし。 | -| `音声` | AUDIO | いいえ | - | モデルのコンテキストとして使用するオプションの音声。デフォルト：なし。 | -| `動画` | VIDEO | いいえ | - | モデルのコンテキストとして使用するオプションの動画。デフォルト：なし。 | -| `ファイル` | GEMINI_INPUT_FILES | いいえ | - | モデルのコンテキストとして使用するオプションのファイル。Gemini Generate Content Input Filesノードからの入力を受け入れます。デフォルト：なし。 | -| `システムプロンプト` | STRING | いいえ | - | AIの動作を指示する基本的な指示。デフォルト：空文字列。これは高度なパラメータです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | モデルへのテキスト入力で、応答の生成に使用されます。詳細な指示、質問、またはコンテキストを含めることができます。デフォルト：空文字列。 | STRING | はい | - | +| `モデル` | 応答生成に使用するGeminiモデル。デフォルト：gemini-3-1-pro。 | COMBO | はい | `gemini-2.5-pro-preview-05-06`
`gemini-2.5-flash-preview-04-17`
`gemini-2.5-pro`
`gemini-2.5-flash`
`gemini-3-pro-preview`
`gemini-3-1-pro`
`gemini-3-1-flash-lite` | +| `シード` | シード値を特定の値に固定すると、モデルは繰り返しのリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。また、モデルやtemperatureなどのパラメータ設定を変更すると、同じシード値を使用した場合でも応答にばらつきが生じる可能性があります。デフォルトでは、ランダムなシード値が使用されます。デフォルト：42。 | INT | はい | 0 ～ 18446744073709551615 | +| `画像` | モデルのコンテキストとして使用するオプションの画像。複数の画像を含めるには、Batch Imagesノードを使用できます。デフォルト：なし。 | IMAGE | いいえ | - | +| `音声` | モデルのコンテキストとして使用するオプションの音声。デフォルト：なし。 | AUDIO | いいえ | - | +| `動画` | モデルのコンテキストとして使用するオプションの動画。デフォルト：なし。 | VIDEO | いいえ | - | +| `ファイル` | モデルのコンテキストとして使用するオプションのファイル。Gemini Generate Content Input Filesノードからの入力を受け入れます。デフォルト：なし。 | GEMINI_INPUT_FILES | いいえ | - | +| `システムプロンプト` | AIの動作を指示する基本的な指示。デフォルト：空文字列。これは高度なパラメータです。 | STRING | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `STRING` | STRING | Geminiモデルによって生成されたテキスト応答。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `STRING` | Geminiモデルによって生成されたテキスト応答。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNode/ja.md) --- **Source fingerprint (SHA-256):** `6addc7c0bc0c5889ddd6dbcb72b0b608ab738189990c591eb7160f849f6b5374` diff --git a/ja/built-in-nodes/GeminiNodeV2.mdx b/ja/built-in-nodes/GeminiNodeV2.mdx new file mode 100644 index 000000000..f283227fd --- /dev/null +++ b/ja/built-in-nodes/GeminiNodeV2.mdx @@ -0,0 +1,32 @@ +--- +title: "GeminiNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiNodeV2" +icon: "circle" +mode: wide +--- +# Google Gemini + +Google の Gemini モデルを使用してテキスト応答を生成します。テキストプロンプトに加えて、オプションで1つ以上の画像、音声クリップ、動画、またはファイルをマルチモーダルコンテキストとして提供できます。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `prompt` | モデルへのテキスト入力。詳細な指示、質問、またはコンテキストを含めます。 | STRING | はい | | +| `model` | 応答の生成に使用する Gemini モデル。 | COMBO | はい | `"Gemini 3.1 Pro"`
`"Gemini 3.1 Flash-Lite"` | +| `seed` | サンプリング用のシード値。ランダムシードにするには0を設定します。決定論的な出力は保証されません。（デフォルト: 42） | INT | はい | 0 ～ 2147483647 | +| `system_prompt` | モデルの動作を指示する基本命令。（デフォルト: ""） | STRING | いいえ | | + +**注記:** 画像、音声、または動画をマルチモーダルコンテキストとして提供する場合、ノードは最初の10個の入力についてメディアをURLとしてアップロードします。それ以降のメディアはbase64データとしてインラインで送信され、最大インラインペイロードは18 MBです。インラインペイロードがこの制限を超えると、エラーが発生します。 + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `output` | Gemini モデルから生成されたテキスト応答。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNodeV2/ja.md) + +--- +**Source fingerprint (SHA-256):** `ec9921f218a726082eb8987cf94b3575f61a3c6cf55fb33aeb81d42fad35d302` diff --git a/ja/built-in-nodes/GenerateTracks.mdx b/ja/built-in-nodes/GenerateTracks.mdx index c09191dfa..6b45a4560 100644 --- a/ja/built-in-nodes/GenerateTracks.mdx +++ b/ja/built-in-nodes/GenerateTracks.mdx @@ -5,37 +5,37 @@ sidebarTitle: "GenerateTracks" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GenerateTracks/ja.md) - `GenerateTracks` ノードは、動画生成のための複数の並行モーションパスを作成します。開始点から終了点までの主要パスを定義し、そのパスに平行で等間隔に配置された一連のトラックを生成します。パスの形状（直線またはベジェ曲線）、パスに沿った移動速度、およびトラックを表示するフレームを制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `幅` | INT | はい | 16 - 4096 | 動画フレームの幅（ピクセル単位）。デフォルト値は 832 です。 | -| `高さ` | INT | はい | 16 - 4096 | 動画フレームの高さ（ピクセル単位）。デフォルト値は 480 です。 | -| `開始X` | FLOAT | はい | 0.0 - 1.0 | 開始位置の正規化された X 座標（0-1）。デフォルト値は 0.0 です。 | -| `開始Y` | FLOAT | はい | 0.0 - 1.0 | 開始位置の正規化された Y 座標（0-1）。デフォルト値は 0.0 です。 | -| `終了X` | FLOAT | はい | 0.0 - 1.0 | 終了位置の正規化された X 座標（0-1）。デフォルト値は 1.0 です。 | -| `終了Y` | FLOAT | はい | 0.0 - 1.0 | 終了位置の正規化された Y 座標（0-1）。デフォルト値は 1.0 です。 | -| `フレーム数` | INT | はい | 1 - 1024 | トラック位置を生成するフレームの総数。デフォルト値は 81 です。 | -| `トラック数` | INT | はい | 1 - 100 | 生成する並行トラックの数。デフォルト値は 5 です。 | -| `トラック間隔` | FLOAT | はい | 0.0 - 1.0 | トラック間の正規化された距離。トラックは移動方向に対して垂直に広がります。デフォルト値は 0.025 です。 | -| `ベジエ` | BOOLEAN | はい | True / False | 中間点を制御点として使用してベジェ曲線パスを有効にします。デフォルト値は False です。 | -| `中間X` | FLOAT | はい | 0.0 - 1.0 | ベジェ曲線の正規化された X 制御点。「bezier」が有効な場合のみ使用されます。デフォルト値は 0.5 です。 | -| `中間Y` | FLOAT | はい | 0.0 - 1.0 | ベジェ曲線の正規化された Y 制御点。「bezier」が有効な場合のみ使用されます。デフォルト値は 0.5 です。 | -| `補間` | COMBO | はい | `"linear"`
`"ease_in"`
`"ease_out"`
`"ease_in_out"`
`"constant"` | パスに沿った移動のタイミング/速度を制御します。デフォルト値は "linear" です。 | -| `トラックマスク` | MASK | いいえ | - | 表示フレームを示すオプションのマスク。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `幅` | 動画フレームの幅（ピクセル単位）。デフォルト値は 832 です。 | INT | はい | 16 - 4096 | +| `高さ` | 動画フレームの高さ（ピクセル単位）。デフォルト値は 480 です。 | INT | はい | 16 - 4096 | +| `開始X` | 開始位置の正規化された X 座標（0-1）。デフォルト値は 0.0 です。 | FLOAT | はい | 0.0 - 1.0 | +| `開始Y` | 開始位置の正規化された Y 座標（0-1）。デフォルト値は 0.0 です。 | FLOAT | はい | 0.0 - 1.0 | +| `終了X` | 終了位置の正規化された X 座標（0-1）。デフォルト値は 1.0 です。 | FLOAT | はい | 0.0 - 1.0 | +| `終了Y` | 終了位置の正規化された Y 座標（0-1）。デフォルト値は 1.0 です。 | FLOAT | はい | 0.0 - 1.0 | +| `フレーム数` | トラック位置を生成するフレームの総数。デフォルト値は 81 です。 | INT | はい | 1 - 1024 | +| `トラック数` | 生成する並行トラックの数。デフォルト値は 5 です。 | INT | はい | 1 - 100 | +| `トラック間隔` | トラック間の正規化された距離。トラックは移動方向に対して垂直に広がります。デフォルト値は 0.025 です。 | FLOAT | はい | 0.0 - 1.0 | +| `ベジエ` | 中間点を制御点として使用してベジェ曲線パスを有効にします。デフォルト値は False です。 | BOOLEAN | はい | True / False | +| `中間X` | ベジェ曲線の正規化された X 制御点。「bezier」が有効な場合のみ使用されます。デフォルト値は 0.5 です。 | FLOAT | はい | 0.0 - 1.0 | +| `中間Y` | ベジェ曲線の正規化された Y 制御点。「bezier」が有効な場合のみ使用されます。デフォルト値は 0.5 です。 | FLOAT | はい | 0.0 - 1.0 | +| `補間` | パスに沿った移動のタイミング/速度を制御します。デフォルト値は "linear" です。 | COMBO | はい | `"linear"`
`"ease_in"`
`"ease_out"`
`"ease_in_out"`
`"constant"` | +| `トラックマスク` | 表示フレームを示すオプションのマスク。 | MASK | いいえ | - | **注記:** `mid_x` および `mid_y` パラメータは、`bezier` パラメータが `True` に設定されている場合のみ使用されます。`bezier` が `False` の場合、パスは開始点から終了点への直線になります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `トラック長` | TRACKS | 生成されたパス座標と、すべてのフレームにわたるすべてのトラックの可視性情報を含むトラックオブジェクト。 | -| `track_length` | INT | トラックが生成されたフレーム数。入力の `フレーム数` と一致します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `トラック長` | 生成されたパス座標と、すべてのフレームにわたるすべてのトラックの可視性情報を含むトラックオブジェクト。 | TRACKS | +| `track_length` | トラックが生成されたフレーム数。入力の `フレーム数` と一致します。 | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GenerateTracks/ja.md) --- **Source fingerprint (SHA-256):** `3dca1cabaee8738e2a68acafed47ad347019d03c9b7f0d1392b3fdf97d0e8add` diff --git a/ja/built-in-nodes/GetICLoRAParameters.mdx b/ja/built-in-nodes/GetICLoRAParameters.mdx index 53677a9fb..ed34a39b3 100644 --- a/ja/built-in-nodes/GetICLoRAParameters.mdx +++ b/ja/built-in-nodes/GetICLoRAParameters.mdx @@ -5,23 +5,23 @@ sidebarTitle: "GetICLoRAParameters" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/ja.md) - ## 概要 このノードは、LoRAが読み込まれたモデルのメタデータからIC-LoRAパラメータを抽出します。safetensorsのメタデータを読み取り、参照ダウンスケール係数などの値を取得し、構造化されたパラメータオブジェクトとして出力します。この出力は、特別なガイド処理のためにLTXVAddGuideノードに接続することができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `iclora_model` | MODEL | はい | なし | メタデータを抽出する特定のIC-LoRA用のLoRAローダーからの直接出力。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `iclora_model` | メタデータを抽出する特定のIC-LoRA用のLoRAローダーからの直接出力。 | MODEL | はい | なし | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `iclora_parameters` | IC_LORA_PARAMETERS | LoRAメタデータから抽出されたIC-LoRAパラメータ（例：reference_downscale_factor）。LoRAがガイドの特別な処理を必要とする場合は、LTXVAddGuideに接続してください。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `iclora_parameters` | LoRAメタデータから抽出されたIC-LoRAパラメータ（例：reference_downscale_factor）。LoRAがガイドの特別な処理を必要とする場合は、LTXVAddGuideに接続してください。 | IC_LORA_PARAMETERS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/ja.md) --- **Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50` diff --git a/ja/built-in-nodes/GetImageSize.mdx b/ja/built-in-nodes/GetImageSize.mdx index 9e4c519d8..76dda59ec 100644 --- a/ja/built-in-nodes/GetImageSize.mdx +++ b/ja/built-in-nodes/GetImageSize.mdx @@ -5,23 +5,23 @@ sidebarTitle: "GetImageSize" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetImageSize/ja.md) - GetImageSize ノードは、入力画像から寸法とバッチ情報を抽出します。画像の幅、高さ、およびバッチサイズを返すとともに、この情報をノードインターフェース上に進捗テキストとして表示します。元の画像データは変更されずにそのまま通過します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | サイズ情報を抽出する入力画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | サイズ情報を抽出する入力画像 | IMAGE | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `height` | INT | 入力画像の幅（ピクセル単位） | -| `batch_size` | INT | 入力画像の高さ（ピクセル単位） | -| `batch_size` | INT | バッチ内の画像数 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `height` | 入力画像の幅（ピクセル単位） | INT | +| `batch_size` | 入力画像の高さ（ピクセル単位） | INT | +| `batch_size` | バッチ内の画像数 | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetImageSize/ja.md) --- **Source fingerprint (SHA-256):** `5cd19ae762d2403c6c5d0740cd5f8c17913daea737fddcff8f0d9da2210e82ab` diff --git a/ja/built-in-nodes/GetSplatCount.mdx b/ja/built-in-nodes/GetSplatCount.mdx new file mode 100644 index 000000000..9b6220181 --- /dev/null +++ b/ja/built-in-nodes/GetSplatCount.mdx @@ -0,0 +1,28 @@ +--- +title: "GetSplatCount - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GetSplatCount node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GetSplatCount" +icon: "circle" +mode: wide +--- +# スプラット数を取得 + +Get Splat Count ノードは、スプラットバッチ内のスプラット（ガウス点）の総数を返し、バッチ内のすべてのアイテムを合計します。元のスプラットデータは変更せずにそのまま渡し、含まれる個々のスプラットの数をカウントします。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `splat` | スプラット数をカウントするスプラットデータ | SPLAT | はい | - | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `カウント` | 変更されずにそのまま渡される元のスプラットデータ | SPLAT | +| `count` | バッチ全体で合計されたスプラットの総数 | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetSplatCount/ja.md) + +--- +**Source fingerprint (SHA-256):** `fbb913b70bbbe4701b91783b6f47969d9132737c464ae590243f9f38061a05dc` diff --git a/ja/built-in-nodes/GetVideoComponents.mdx b/ja/built-in-nodes/GetVideoComponents.mdx index 71eae534e..9db7c277f 100644 --- a/ja/built-in-nodes/GetVideoComponents.mdx +++ b/ja/built-in-nodes/GetVideoComponents.mdx @@ -5,25 +5,25 @@ sidebarTitle: "GetVideoComponents" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetVideoComponents/ja.md) - このドキュメントはAIによって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetVideoComponents/en.md) Get Video Components ノードは、動画ファイルからすべての主要な要素を抽出します。動画を個別のフレームに分割し、オーディオトラックを抽出し、動画のフレームレート情報を提供します。これにより、各コンポーネントを独立して使用し、さらなる処理や分析を行うことができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `ビデオ` | VIDEO | はい | - | コンポーネントを抽出する動画です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ビデオ` | コンポーネントを抽出する動画です。 | VIDEO | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `オーディオ` | IMAGE | 動画から抽出された個別のフレームを、別々の画像として出力します。 | -| `fps` | AUDIO | 動画から抽出されたオーディオトラックです。 | -| `fps` | FLOAT | 動画のフレームレート（1秒あたりのフレーム数）です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `オーディオ` | 動画から抽出された個別のフレームを、別々の画像として出力します。 | IMAGE | +| `fps` | 動画から抽出されたオーディオトラックです。 | AUDIO | +| `fps` | 動画のフレームレート（1秒あたりのフレーム数）です。 | FLOAT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetVideoComponents/ja.md) --- **Source fingerprint (SHA-256):** `7b8419d6614d5be0ec15ccfeb48ee9813c74b28b0b405d62c03496c133c92f53` diff --git a/ja/built-in-nodes/GrokImageEditNode.mdx b/ja/built-in-nodes/GrokImageEditNode.mdx index ab94399c7..8613b0c97 100644 --- a/ja/built-in-nodes/GrokImageEditNode.mdx +++ b/ja/built-in-nodes/GrokImageEditNode.mdx @@ -5,23 +5,21 @@ sidebarTitle: "GrokImageEditNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNode/ja.md) - 以下が翻訳です。 Grok Image Edit ノードは、テキストプロンプトに基づいて既存の画像を修正します。Grok API を使用して、入力画像のバリエーションとなる1つ以上の新しい画像を、あなたの説明に従って生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` | 画像編集に使用する特定のAIモデル。 | -| `image` | IMAGE | はい | | 編集する入力画像。最大3枚の入力画像をサポートします。ただし、"pro"モデルは1枚のみサポートします。 | -| `プロンプト` | STRING | はい | | 編集画像を生成するために使用するテキストプロンプト。空白を除去した後、少なくとも1文字以上である必要があります。 | -| `解像度` | COMBO | はい | `"1K"`
`"2K"` | 出力画像の解像度。 | -| `生成画像数` | INT | いいえ | 1 ～ 10 | 生成する編集画像の数（デフォルト：1）。 | -| `シード値` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です（デフォルト：0）。 | -| `アスペクト比` | COMBO | いいえ | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` | 出力画像のアスペクト比。複数の画像が画像入力に接続されている場合のみ設定可能です。"auto"に設定すると、アスペクト比は自動的に決定されます（デフォルト："auto"）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 画像編集に使用する特定のAIモデル。 | COMBO | はい | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` | +| `image` | 編集する入力画像。最大3枚の入力画像をサポートします。ただし、"pro"モデルは1枚のみサポートします。 | IMAGE | はい | | +| `プロンプト` | 編集画像を生成するために使用するテキストプロンプト。空白を除去した後、少なくとも1文字以上である必要があります。 | STRING | はい | | +| `解像度` | 出力画像の解像度。 | COMBO | はい | `"1K"`
`"2K"` | +| `生成画像数` | 生成する編集画像の数（デフォルト：1）。 | INT | いいえ | 1 ～ 10 | +| `シード値` | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です（デフォルト：0）。 | INT | いいえ | 0 ～ 2147483647 | +| `アスペクト比` | 出力画像のアスペクト比。複数の画像が画像入力に接続されている場合のみ設定可能です。"auto"に設定すると、アスペクト比は自動的に決定されます（デフォルト："auto"）。 | COMBO | いいえ | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` | **重要な制約事項：** - `image` 入力は最大3枚の画像をサポートしますが、`grok-imagine-image-pro` モデルを使用する場合は1枚の入力画像のみサポートします。 @@ -29,9 +27,11 @@ Grok Image Edit ノードは、テキストプロンプトに基づいて既存 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | ノードによって生成された編集画像。`生成画像数` が1より大きい場合、出力はバッチとして連結されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | ノードによって生成された編集画像。`生成画像数` が1より大きい場合、出力はバッチとして連結されます。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNode/ja.md) --- **Source fingerprint (SHA-256):** `021d867e9e04451c0c4ef035c19fa86ebc8d4a3f64572aff33f493324d7fe308` diff --git a/ja/built-in-nodes/GrokImageEditNodeV2.mdx b/ja/built-in-nodes/GrokImageEditNodeV2.mdx index 96c38ce9b..c608e49c3 100644 --- a/ja/built-in-nodes/GrokImageEditNodeV2.mdx +++ b/ja/built-in-nodes/GrokImageEditNodeV2.mdx @@ -5,19 +5,17 @@ sidebarTitle: "GrokImageEditNodeV2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNodeV2/ja.md) - ## 概要 テキストプロンプトに基づいて既存の画像を編集します。このノードは画像とテキスト説明をGrok APIに送信し、指示に従って画像を編集した結果を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | なし | 画像生成に使用するテキストプロンプト。空白を除去した後、最低1文字以上である必要があります。 | -| `モデル` | MODEL | はい | 説明を参照 | 使用するGrok画像モデル。このパラメータには、モデル選択後に表示される複数のサブオプションがあります。利用可能なモデル：`grok-imagine-image-quality`、`grok-imagine-image-pro`、`grok-imagine-image`。各モデルは異なる機能を持ちます（下記注釈参照）。 | -| `シード` | INT | はい | 0～2147483647 | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関わらず非決定的です。（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 画像生成に使用するテキストプロンプト。空白を除去した後、最低1文字以上である必要があります。 | STRING | はい | なし | +| `モデル` | 使用するGrok画像モデル。このパラメータには、モデル選択後に表示される複数のサブオプションがあります。利用可能なモデル：`grok-imagine-image-quality`、`grok-imagine-image-pro`、`grok-imagine-image`。各モデルは異なる機能を持ちます（下記注釈参照）。 | MODEL | はい | 説明を参照 | +| `シード` | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関わらず非決定的です。（デフォルト：0） | INT | はい | 0～2147483647 | **`model`パラメータの制約に関する注釈：** - `model`パラメータは動的なコンボボックスであり、`resolution`、`number_of_images`、`images`、`aspect_ratio`のサブオプションを含みます。 @@ -29,9 +27,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | Grok APIから返された編集済み画像。単一の画像が生成された場合は直接返されます。複数の画像が生成された場合は、単一のバッチテンソルに連結されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | Grok APIから返された編集済み画像。単一の画像が生成された場合は直接返されます。複数の画像が生成された場合は、単一のバッチテンソルに連結されます。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNodeV2/ja.md) --- **Source fingerprint (SHA-256):** `b041b40bb5712a67b09dcb0c841f00cbdd9ef77b9e4f3fdc6b2c4038be447ba5` diff --git a/ja/built-in-nodes/GrokImageNode.mdx b/ja/built-in-nodes/GrokImageNode.mdx index cd3a9aad4..d5fb99b7b 100644 --- a/ja/built-in-nodes/GrokImageNode.mdx +++ b/ja/built-in-nodes/GrokImageNode.mdx @@ -5,22 +5,20 @@ sidebarTitle: "GrokImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageNode/ja.md) - 以下が翻訳結果です。 Grok Image ノードは、Grok AI モデルを使用して、テキスト説明に基づき1つ以上の画像を生成します。プロンプトを外部サービスに送信し、生成された画像をワークフローで使用可能なテンソルとして返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` | 画像生成に使用する特定の Grok モデル。モデルによって品質、速度、機能が異なる場合があります。 | -| `プロンプト` | STRING | はい | なし | 画像生成に使用するテキストプロンプト。この説明が AI に生成内容を指示します。最低1文字以上必要です。 | -| `アスペクト比` | COMBO | はい | `"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` | 生成画像の希望する幅と高さの比率。 | -| `生成画像数` | INT | いいえ | 1 ～ 10 | 生成する画像の数（デフォルト：1）。 | -| `シード値` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード値。実際の画像結果は非決定的であり、同じシードでも異なる場合があります（デフォルト：0）。 | -| `解像度` | COMBO | いいえ | `"1K"`
`"2K"` | 生成画像の希望する出力解像度（デフォルト："1K"）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 画像生成に使用する特定の Grok モデル。モデルによって品質、速度、機能が異なる場合があります。 | COMBO | はい | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` | +| `プロンプト` | 画像生成に使用するテキストプロンプト。この説明が AI に生成内容を指示します。最低1文字以上必要です。 | STRING | はい | なし | +| `アスペクト比` | 生成画像の希望する幅と高さの比率。 | COMBO | はい | `"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` | +| `生成画像数` | 生成する画像の数（デフォルト：1）。 | INT | いいえ | 1 ～ 10 | +| `シード値` | ノードを再実行するかどうかを決定するシード値。実際の画像結果は非決定的であり、同じシードでも異なる場合があります（デフォルト：0）。 | INT | いいえ | 0 ～ 2147483647 | +| `解像度` | 生成画像の希望する出力解像度（デフォルト："1K"）。 | COMBO | いいえ | `"1K"`
`"2K"` | **注意：** `seed` パラメータは主に、ワークフロー内でノードがいつ再実行されるかを制御するために使用されます。外部 AI サービスの性質上、同じシードでも実行ごとに生成画像は再現可能または同一にはなりません。 @@ -28,9 +26,11 @@ Grok Image ノードは、Grok AI モデルを使用して、テキスト説明 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | 生成された画像、または画像のバッチ。`生成画像数` が1の場合は単一の画像テンソルが返され、1より大きい場合は画像テンソルのバッチが返されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された画像、または画像のバッチ。`生成画像数` が1の場合は単一の画像テンソルが返され、1より大きい場合は画像テンソルのバッチが返されます。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageNode/ja.md) --- **Source fingerprint (SHA-256):** `5c8a76d3636dea8bcc6ade0d8adb6e6d1610b518a31e15fc7fce3f107fe63953` diff --git a/ja/built-in-nodes/GrokVideoEditNode.mdx b/ja/built-in-nodes/GrokVideoEditNode.mdx index 9f6e466f6..9c36615cd 100644 --- a/ja/built-in-nodes/GrokVideoEditNode.mdx +++ b/ja/built-in-nodes/GrokVideoEditNode.mdx @@ -5,18 +5,16 @@ sidebarTitle: "GrokVideoEditNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoEditNode/ja.md) - このノードは、Grok API を使用して、テキストプロンプトに基づいて既存の動画を編集します。動画をアップロードし、AI モデルにリクエストを送信して説明に従って動画を変更し、新しく生成された動画を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"grok-imagine-video"`
`"grok-imagine-video-beta"` | 動画編集に使用する AI モデル（デフォルト: `"grok-imagine-video"`）。 | -| `プロンプト` | STRING | はい | N/A | 目的の動画を説明するテキスト。 | -| `動画` | VIDEO | はい | N/A | 編集する入力動画。最大対応時間は 8.7 秒、ファイルサイズは 50MB です。 | -| `シード値` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関係なく非決定的です（デフォルト: 0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 動画編集に使用する AI モデル（デフォルト: `"grok-imagine-video"`）。 | COMBO | はい | `"grok-imagine-video"`
`"grok-imagine-video-beta"` | +| `プロンプト` | 目的の動画を説明するテキスト。 | STRING | はい | N/A | +| `動画` | 編集する入力動画。最大対応時間は 8.7 秒、ファイルサイズは 50MB です。 | VIDEO | はい | N/A | +| `シード値` | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関係なく非決定的です（デフォルト: 0）。 | INT | いいえ | 0 ～ 2147483647 | **制約事項:** @@ -26,9 +24,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `動画` | VIDEO | AI モデルによって生成された編集済み動画。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `動画` | AI モデルによって生成された編集済み動画。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoEditNode/ja.md) --- **Source fingerprint (SHA-256):** `dfe52a089f7bfe7abc7f40ef113c44aef2dded828221d9d1acf0ddb6a167c33f` diff --git a/ja/built-in-nodes/GrokVideoExtendNode.mdx b/ja/built-in-nodes/GrokVideoExtendNode.mdx index cb67de6f6..ff52db645 100644 --- a/ja/built-in-nodes/GrokVideoExtendNode.mdx +++ b/ja/built-in-nodes/GrokVideoExtendNode.mdx @@ -5,20 +5,18 @@ sidebarTitle: "GrokVideoExtendNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoExtendNode/ja.md) - 以下が翻訳結果です。 Grok Video Extend ノードは、AI モデルを使用して既存のビデオのシームレスな続きを生成します。短いビデオと、次に何が起こるべきかを説明するテキストプロンプトを入力すると、ノードは元のビデオに続く新しいビデオクリップを生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | なし | ビデオ内で次に何が起こるべきかを説明するテキスト。 | -| `ビデオ` | VIDEO | はい | なし | 拡張する元のビデオ。MP4 形式、2～15 秒。 | -| `モデル` | COMBO | はい | `"grok-imagine-video"` | ビデオ拡張に使用するモデル。選択すると、ネストされた `duration` パラメータが表示されます。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です（デフォルト：0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | ビデオ内で次に何が起こるべきかを説明するテキスト。 | STRING | はい | なし | +| `ビデオ` | 拡張する元のビデオ。MP4 形式、2～15 秒。 | VIDEO | はい | なし | +| `モデル` | ビデオ拡張に使用するモデル。選択すると、ネストされた `duration` パラメータが表示されます。 | COMBO | はい | `"grok-imagine-video"` | +| `シード` | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です（デフォルト：0）。 | INT | いいえ | 0 ～ 2147483647 | **パラメータの制約：** * `video` 入力は、長さが 2 秒以上 15 秒以下の MP4 ファイルである必要があり、ファイルサイズは 50MB を超えてはなりません。 @@ -27,9 +25,11 @@ Grok Video Extend ノードは、AI モデルを使用して既存のビデオ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 新しく生成されたビデオ拡張。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 新しく生成されたビデオ拡張。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoExtendNode/ja.md) --- **Source fingerprint (SHA-256):** `a33383be0eb6857538a75e1b901ee58df0153dfeaf95a7ee19933d651b745b5f` diff --git a/ja/built-in-nodes/GrokVideoNode.mdx b/ja/built-in-nodes/GrokVideoNode.mdx index 6db1cbf5a..6a588bd6d 100644 --- a/ja/built-in-nodes/GrokVideoNode.mdx +++ b/ja/built-in-nodes/GrokVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "GrokVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoNode/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 --- @@ -15,23 +13,25 @@ Grok Video ノードは、テキストの説明から短い動画を生成しま ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"grok-imagine-video"`
`"grok-imagine-video-beta"` | 動画生成に使用するモデル。 | -| `プロンプト` | STRING | はい | - | 希望する動画のテキストによる説明。 | -| `解像度` | COMBO | はい | `"480p"`
`"720p"` | 出力動画の解像度。 | -| `アスペクト比` | COMBO | はい | `"auto"`
`"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | 出力動画のアスペクト比（デフォルト："auto"）。 | -| `再生時間` | INT | はい | 1 ～ 15 | 出力動画の長さ（秒単位、デフォルト：6）。 | -| `シード値` | INT | はい | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です（デフォルト：0）。 | -| `image` | IMAGE | いいえ | - | アニメーション化するオプションの入力画像。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 動画生成に使用するモデル。 | COMBO | はい | `"grok-imagine-video"`
`"grok-imagine-video-beta"` | +| `プロンプト` | 希望する動画のテキストによる説明。 | STRING | はい | - | +| `解像度` | 出力動画の解像度。 | COMBO | はい | `"480p"`
`"720p"` | +| `アスペクト比` | 出力動画のアスペクト比（デフォルト："auto"）。 | COMBO | はい | `"auto"`
`"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | +| `再生時間` | 出力動画の長さ（秒単位、デフォルト：6）。 | INT | はい | 1 ～ 15 | +| `シード値` | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です（デフォルト：0）。 | INT | はい | 0 ～ 2147483647 | +| `image` | アニメーション化するオプションの入力画像。 | IMAGE | いいえ | - | **注記：** `image` が提供される場合、サポートされるのは1枚の画像のみです。複数の画像を提供するとエラーが発生します。`prompt` は、空白を除去した後に少なくとも1文字以上の長さが必要です。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `d48049fafbe4dbf50eb5a42495d445fa4c7fc590a1d70267e220ccedc2f5328a` diff --git a/ja/built-in-nodes/GrokVideoReferenceNode.mdx b/ja/built-in-nodes/GrokVideoReferenceNode.mdx index 88c9318b4..5748b9e99 100644 --- a/ja/built-in-nodes/GrokVideoReferenceNode.mdx +++ b/ja/built-in-nodes/GrokVideoReferenceNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "GrokVideoReferenceNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoReferenceNode/ja.md) - 以下は、提供された英語ドキュメントを日本語に翻訳したものです。 このドキュメントは AI によって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md) @@ -15,23 +13,25 @@ Grok 参照動画ノードは、テキストプロンプトに基づいて動画 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | なし | 希望する動画のテキストによる説明。 | -| `モデル` | COMBO | はい | `"grok-imagine-video"` | 動画生成に使用するモデル。 | -| `model.reference_images` | IMAGE | はい | 1 ～ 7 枚の画像 | 動画生成をガイドするための最大 7 枚の参照画像。 | -| `model.resolution` | COMBO | はい | `"480p"`
`"720p"` | 出力動画の解像度。 | -| `model.aspect_ratio` | COMBO | はい | `"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | 出力動画のアスペクト比。 | -| `model.duration` | INT | はい | 2 ～ 10 | 出力動画の長さ（秒単位、デフォルト: 6）。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関係なく非決定的です（デフォルト: 0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 希望する動画のテキストによる説明。 | STRING | はい | なし | +| `モデル` | 動画生成に使用するモデル。 | COMBO | はい | `"grok-imagine-video"` | +| `model.reference_images` | 動画生成をガイドするための最大 7 枚の参照画像。 | IMAGE | はい | 1 ～ 7 枚の画像 | +| `model.resolution` | 出力動画の解像度。 | COMBO | はい | `"480p"`
`"720p"` | +| `model.aspect_ratio` | 出力動画のアスペクト比。 | COMBO | はい | `"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | +| `model.duration` | 出力動画の長さ（秒単位、デフォルト: 6）。 | INT | はい | 2 ～ 10 | +| `シード` | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関係なく非決定的です（デフォルト: 0）。 | INT | いいえ | 0 ～ 2147483647 | **注:** `model` パラメータは、`reference_images`、`resolution`、`aspect_ratio`、`duration` を含むグループです。少なくとも 1 枚の参照画像を提供する必要があり、最大 7 枚まで提供できます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video` | VIDEO | 生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video` | 生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoReferenceNode/ja.md) --- **Source fingerprint (SHA-256):** `e368769b869b7a0d0be8e6fdcc2b82774c11805483b2e83a448b6985a6dd9f96` diff --git a/ja/built-in-nodes/GrowMask.mdx b/ja/built-in-nodes/GrowMask.mdx index 1de08d5ce..ecd642ecd 100644 --- a/ja/built-in-nodes/GrowMask.mdx +++ b/ja/built-in-nodes/GrowMask.mdx @@ -5,20 +5,20 @@ sidebarTitle: "GrowMask" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrowMask/ja.md) - `GrowMask` ノードは、指定されたマスクのサイズを拡大または縮小し、必要に応じて角にテーパー効果を適用するように設計されています。この機能は、画像処理タスクにおいてマスクの境界を動的に調整し、関心領域をより柔軟かつ精密に制御するために重要です。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `マスク` | MASK | 変更する入力マスクです。このパラメータはノードの動作の中心であり、マスクを拡大または縮小するためのベースとなります。 | -| `拡大` | INT | マスク変更の大きさと方向を決定します。正の値はマスクを拡大し、負の値は縮小します。このパラメータはマスクの最終的なサイズに直接影響します。 | -| `テーパードコーナー` | BOOLEAN | ブール値のフラグで、True に設定すると、変更中にマスクの角にテーパー効果が適用されます。このオプションにより、より滑らかな遷移と視覚的に美しい結果が得られます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `マスク` | 変更する入力マスクです。このパラメータはノードの動作の中心であり、マスクを拡大または縮小するためのベースとなります。 | MASK | +| `拡大` | マスク変更の大きさと方向を決定します。正の値はマスクを拡大し、負の値は縮小します。このパラメータはマスクの最終的なサイズに直接影響します。 | INT | +| `テーパードコーナー` | ブール値のフラグで、True に設定すると、変更中にマスクの角にテーパー効果が適用されます。このオプションにより、より滑らかな遷移と視覚的に美しい結果が得られます。 | BOOLEAN | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `マスク` | MASK | 指定された拡大・縮小と、オプションのテーパー角効果を適用した後の変更済みマスクです。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `マスク` | 指定された拡大・縮小と、オプションのテーパー角効果を適用した後の変更済みマスクです。 | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrowMask/ja.md) diff --git a/ja/built-in-nodes/HappyHorseImageToVideoApi.mdx b/ja/built-in-nodes/HappyHorseImageToVideoApi.mdx index a604dfdcc..2f9695574 100644 --- a/ja/built-in-nodes/HappyHorseImageToVideoApi.mdx +++ b/ja/built-in-nodes/HappyHorseImageToVideoApi.mdx @@ -5,8 +5,6 @@ sidebarTitle: "HappyHorseImageToVideoApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 --- @@ -17,21 +15,23 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"happyhorse-1.0-i2v"` | 動画生成に使用する HappyHorse モデルです。 | -| `model.prompt` | STRING | いいえ | N/A | 要素と視覚的特徴を説明するプロンプトです。英語と中国語に対応しています。（デフォルト：""） | -| `model.resolution` | COMBO | はい | `"720P"`
`"1080P"` | 出力動画の解像度です。（デフォルト："720P"） | -| `model.duration` | INT | はい | 3 ～ 15 | 生成される動画の長さ（秒）です。（デフォルト：5） | -| `最初のフレーム` | IMAGE | はい | N/A | 最初のフレーム画像です。出力のアスペクト比はこの画像から取得されます。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成に使用するシード値です。（デフォルト：0） | -| `ウォーターマーク` | BOOLEAN | いいえ | True / False | 結果に AI 生成を示す透かしを追加するかどうかです。（デフォルト：False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画生成に使用する HappyHorse モデルです。 | COMBO | はい | `"happyhorse-1.0-i2v"` | +| `model.prompt` | 要素と視覚的特徴を説明するプロンプトです。英語と中国語に対応しています。（デフォルト：""） | STRING | いいえ | N/A | +| `model.resolution` | 出力動画の解像度です。（デフォルト："720P"） | COMBO | はい | `"720P"`
`"1080P"` | +| `model.duration` | 生成される動画の長さ（秒）です。（デフォルト：5） | INT | はい | 3 ～ 15 | +| `最初のフレーム` | 最初のフレーム画像です。出力のアスペクト比はこの画像から取得されます。 | IMAGE | はい | N/A | +| `シード` | 生成に使用するシード値です。（デフォルト：0） | INT | いいえ | 0 ～ 2147483647 | +| `ウォーターマーク` | 結果に AI 生成を示す透かしを追加するかどうかです。（デフォルト：False） | BOOLEAN | いいえ | True / False | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video` | VIDEO | 生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video` | 生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/ja.md) --- **Source fingerprint (SHA-256):** `e10ad61abd92df7ad6dd3ac70cc6af35faf0413798f4cff32c81194695bb0bed` diff --git a/ja/built-in-nodes/HappyHorseReferenceVideoApi.mdx b/ja/built-in-nodes/HappyHorseReferenceVideoApi.mdx index ea27beee5..02568a0de 100644 --- a/ja/built-in-nodes/HappyHorseReferenceVideoApi.mdx +++ b/ja/built-in-nodes/HappyHorseReferenceVideoApi.mdx @@ -5,8 +5,6 @@ sidebarTitle: "HappyHorseReferenceVideoApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,22 +13,24 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"happyhorse-1.0-r2v"` | 動画生成に使用するHappyHorseモデルです。 | -| `prompt` | STRING | はい | N/A | 生成したい動画のテキストによる説明です。参照キャラクターを指定するには、'character1'や'character2'のような識別子を使用してください。 | -| `resolution` | COMBO | はい | `"720P"`
`"1080P"` | 生成される動画の解像度です。 | -| `ratio` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | 生成される動画のアスペクト比です。 | -| `duration` | INT | はい | 3 ～ 15 | 生成される動画の長さ（秒単位）です（デフォルト：5）。 | -| `reference_images` | IMAGE | はい | 1 ～ 9 | 動画に登場させる人物またはオブジェクトの1枚以上の参照画像です。少なくとも1枚の画像を提供する必要があります。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | 再現可能な生成のためのシード値です（デフォルト：0）。シードは生成ごとに自動的に変更するように設定できます。 | -| `ウォーターマーク` | BOOLEAN | いいえ | True または False | 結果の動画にAI生成を示す透かしを追加するかどうかです（デフォルト：False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画生成に使用するHappyHorseモデルです。 | COMBO | はい | `"happyhorse-1.0-r2v"` | +| `prompt` | 生成したい動画のテキストによる説明です。参照キャラクターを指定するには、'character1'や'character2'のような識別子を使用してください。 | STRING | はい | N/A | +| `resolution` | 生成される動画の解像度です。 | COMBO | はい | `"720P"`
`"1080P"` | +| `ratio` | 生成される動画のアスペクト比です。 | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `duration` | 生成される動画の長さ（秒単位）です（デフォルト：5）。 | INT | はい | 3 ～ 15 | +| `reference_images` | 動画に登場させる人物またはオブジェクトの1枚以上の参照画像です。少なくとも1枚の画像を提供する必要があります。 | IMAGE | はい | 1 ～ 9 | +| `シード` | 再現可能な生成のためのシード値です（デフォルト：0）。シードは生成ごとに自動的に変更するように設定できます。 | INT | いいえ | 0 ～ 2147483647 | +| `ウォーターマーク` | 結果の動画にAI生成を示す透かしを追加するかどうかです（デフォルト：False）。 | BOOLEAN | いいえ | True または False | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `VIDEO` | VIDEO | 生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `VIDEO` | 生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/ja.md) --- **Source fingerprint (SHA-256):** `9162e150aef4cbafa42d59055bdff953e9c21b1e5fbf7c800629e570ee4cd0f9` diff --git a/ja/built-in-nodes/HappyHorseTextToVideoApi.mdx b/ja/built-in-nodes/HappyHorseTextToVideoApi.mdx index 41f7ef4d0..bfde9f8a8 100644 --- a/ja/built-in-nodes/HappyHorseTextToVideoApi.mdx +++ b/ja/built-in-nodes/HappyHorseTextToVideoApi.mdx @@ -5,8 +5,6 @@ sidebarTitle: "HappyHorseTextToVideoApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,17 +13,19 @@ HappyHorseモデルを使用して、テキストプロンプトに基づいた ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | DICT | はい | 説明を参照 | モデルの選択とそれに関連するパラメータを含む辞書です。モデルは `"happyhorse-1.0-t2v"` である必要があります。この辞書には以下のサブパラメータが含まれます。

**`prompt`** (STRING): 生成したい動画のテキストによる説明です。英語と中国語に対応しています。(デフォルト: "")。
**`resolution`** (COMBO): 出力動画の解像度です。オプション: `"720P"`、`"1080P"`。
**`ratio`** (COMBO): 出力動画のアスペクト比です。オプション: `"16:9"`、`"9:16"`、`"1:1"`、`"4:3"`、`"3:4"`。
**`duration`** (INT): 動画の長さ（秒）です。(デフォルト: 5、最小: 3、最大: 15、ステップ: 1)。 | -| `シード` | INT | はい | 0 ～ 2147483647 | 生成に使用するシード値です。同じシードと入力で同じ結果が得られます。(デフォルト: 0)。 | -| `ウォーターマーク` | BOOLEAN | いいえ | True / False | 結果にAI生成を示す透かしを追加するかどうかです。(デフォルト: False)。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | モデルの選択とそれに関連するパラメータを含む辞書です。モデルは `"happyhorse-1.0-t2v"` である必要があります。この辞書には以下のサブパラメータが含まれます。

**`prompt`** (STRING): 生成したい動画のテキストによる説明です。英語と中国語に対応しています。(デフォルト: "")。
**`resolution`** (COMBO): 出力動画の解像度です。オプション: `"720P"`、`"1080P"`。
**`ratio`** (COMBO): 出力動画のアスペクト比です。オプション: `"16:9"`、`"9:16"`、`"1:1"`、`"4:3"`、`"3:4"`。
**`duration`** (INT): 動画の長さ（秒）です。(デフォルト: 5、最小: 3、最大: 15、ステップ: 1)。 | DICT | はい | 説明を参照 | +| `シード` | 生成に使用するシード値です。同じシードと入力で同じ結果が得られます。(デフォルト: 0)。 | INT | はい | 0 ～ 2147483647 | +| `ウォーターマーク` | 結果にAI生成を示す透かしを追加するかどうかです。(デフォルト: False)。 | BOOLEAN | いいえ | True / False | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `VIDEO` | VIDEO | 生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `VIDEO` | 生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/ja.md) --- **Source fingerprint (SHA-256):** `8c6a7c0c2b10bbc65ca54abc991e1f12e8846b31701ed65b49c5d71f1b2a63ec` diff --git a/ja/built-in-nodes/HappyHorseVideoEditApi.mdx b/ja/built-in-nodes/HappyHorseVideoEditApi.mdx index 8290ec3b1..92a0c51b7 100644 --- a/ja/built-in-nodes/HappyHorseVideoEditApi.mdx +++ b/ja/built-in-nodes/HappyHorseVideoEditApi.mdx @@ -5,8 +5,6 @@ sidebarTitle: "HappyHorseVideoEditApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/ja.md) - 以下は、指定された英語ドキュメントを日本語に翻訳したものです。 ## 概要 @@ -15,30 +13,32 @@ HappyHorseモデルを使用して、テキスト指示または参照画像を ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | DICT | はい | 下記参照 | モデルの選択、プロンプト、解像度、アスペクト比、およびオプションの参照画像を含むモデル設定。 | -| `動画` | VIDEO | はい | - | 編集する動画。 | -| `シード` | INT | はい | 0 ～ 2147483647 | 生成に使用するシード値（デフォルト：0）。 | -| `ウォーターマーク` | BOOLEAN | いいえ | True / False | 結果にAI生成の透かしを追加するかどうか（デフォルト：False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | モデルの選択、プロンプト、解像度、アスペクト比、およびオプションの参照画像を含むモデル設定。 | DICT | はい | 下記参照 | +| `動画` | 編集する動画。 | VIDEO | はい | - | +| `シード` | 生成に使用するシード値（デフォルト：0）。 | INT | はい | 0 ～ 2147483647 | +| `ウォーターマーク` | 結果にAI生成の透かしを追加するかどうか（デフォルト：False）。 | BOOLEAN | いいえ | True / False | ### `model` パラメータの詳細 `model` パラメータは、以下のフィールドを持つ辞書です。 -| フィールド | データ型 | 必須 | 範囲 | 説明 | -|-------|-----------|----------|-------|-------------| -| `モデル` | STRING | はい | `"happyhorse-1.0-video-edit"` | 使用するHappyHorse動画編集モデル。 | -| `prompt` | STRING | はい | - | 編集指示またはスタイル変換の要件。1文字以上である必要があります。 | -| `resolution` | STRING | はい | `"720P"`
`"1080P"` | 出力解像度。 | -| `ratio` | STRING | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | アスペクト比。変更しない場合は、入力動画の比率に近似します。 | -| `reference_images` | DICT | いいえ | 0 ～ 5枚の画像 | 編集をガイドするためのオプションの参照画像（image1、image2、image3、image4、image5）。 | +| フィールド | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 使用するHappyHorse動画編集モデル。 | STRING | はい | `"happyhorse-1.0-video-edit"` | +| `prompt` | 編集指示またはスタイル変換の要件。1文字以上である必要があります。 | STRING | はい | - | +| `resolution` | 出力解像度。 | STRING | はい | `"720P"`
`"1080P"` | +| `ratio` | アスペクト比。変更しない場合は、入力動画の比率に近似します。 | STRING | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `reference_images` | 編集をガイドするためのオプションの参照画像（image1、image2、image3、image4、image5）。 | DICT | いいえ | 0 ～ 5枚の画像 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `動画` | VIDEO | 編集された動画出力。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `動画` | 編集された動画出力。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/ja.md) --- **Source fingerprint (SHA-256):** `af6747efbea1c65e4909d35dad009cbc2ffaad787d0f2031581c227deb9bf53c` diff --git a/ja/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx b/ja/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx index b87ff59a0..7fe5c9086 100644 --- a/ja/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx +++ b/ja/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx @@ -5,23 +5,21 @@ sidebarTitle: "HiDreamO1PatchSeamSmoothing" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ja.md) - ## 概要 このノードは、サンプリングプロセスの後半において、複数のシフトされたパッチグリッド位置でモデルの出力を平均化することで、HiDream-O1モデルが生成した画像の目に見える継ぎ目を低減します。画像の位置合わせをわずかに変えてモデルを複数回実行し、結果をブレンドすることで、パッチ境界に現れるグリッド状のアーティファクトを打ち消す仕組みです。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | 継ぎ目スムージングを適用するHiDream-O1モデル。 | -| `開始パーセント` | FLOAT | はい | 0.0～1.0（ステップ：0.01） | スムージング効果がONになるサンプリング進行度（0=開始、1=終了）（デフォルト：0.8）。 | -| `終了パーセント` | FLOAT | はい | 0.0～1.0（ステップ：0.01） | スムージング効果がOFFになるサンプリング進行度（デフォルト：1.0）。 | -| `パターン` | COMBO | はい | `"single_shift"`
`"symmetric"` | シフトされたグリッド位置のレイアウト。`single_shift`：自然なパッチグリッドでの1回のパスと、それ以外のオフセットパス。`symmetric`：すべてのパスがグリッド外で、原点を中心にシフトが分割されます（デフォルト：`"single_shift"`）。 | -| `パス数` | COMBO | はい | `"2"`
`"4"`
`"ramp_2_4"`
`"ramp_2_4_8"` | ゲートステップあたりのパス数（モデル実行回数）。`2`または`4`は固定数です。`ramp_2_4`と`ramp_2_4_8`は、サンプリングが終了に近づくにつれてパス数を増やし、継ぎ目が最も目立つ部分でより多くのスムージングを提供します（デフォルト：`"2"`）。 | -| `ブレンド` | COMBO | はい | `"average"`
`"window"`
`"median"` | 各パスの結果を結合する方法。`average`：すべてのパスの等加重平均。`window`：ハン窓を使用して各パスの中心により大きな重みを与え、境界アーティファクトを低減します。`median`：ピクセルごとの中央値を取得し、ラップアラウンドによる外れ値パスを除外できます（デフォルト：`"average"`）。 | -| `強度` | FLOAT | はい | 0.0～1.0（ステップ：0.01） | 元のモデル出力（0.0）と完全にスムージングされた結果（1.0）の間の補間を制御します（デフォルト：1.0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 継ぎ目スムージングを適用するHiDream-O1モデル。 | MODEL | はい | - | +| `開始パーセント` | スムージング効果がONになるサンプリング進行度（0=開始、1=終了）（デフォルト：0.8）。 | FLOAT | はい | 0.0～1.0（ステップ：0.01） | +| `終了パーセント` | スムージング効果がOFFになるサンプリング進行度（デフォルト：1.0）。 | FLOAT | はい | 0.0～1.0（ステップ：0.01） | +| `パターン` | シフトされたグリッド位置のレイアウト。`single_shift`：自然なパッチグリッドでの1回のパスと、それ以外のオフセットパス。`symmetric`：すべてのパスがグリッド外で、原点を中心にシフトが分割されます（デフォルト：`"single_shift"`）。 | COMBO | はい | `"single_shift"`
`"symmetric"` | +| `パス数` | ゲートステップあたりのパス数（モデル実行回数）。`2`または`4`は固定数です。`ramp_2_4`と`ramp_2_4_8`は、サンプリングが終了に近づくにつれてパス数を増やし、継ぎ目が最も目立つ部分でより多くのスムージングを提供します（デフォルト：`"2"`）。 | COMBO | はい | `"2"`
`"4"`
`"ramp_2_4"`
`"ramp_2_4_8"` | +| `ブレンド` | 各パスの結果を結合する方法。`average`：すべてのパスの等加重平均。`window`：ハン窓を使用して各パスの中心により大きな重みを与え、境界アーティファクトを低減します。`median`：ピクセルごとの中央値を取得し、ラップアラウンドによる外れ値パスを除外できます（デフォルト：`"average"`）。 | COMBO | はい | `"average"`
`"window"`
`"median"` | +| `強度` | 元のモデル出力（0.0）と完全にスムージングされた結果（1.0）の間の補間を制御します（デフォルト：1.0）。 | FLOAT | はい | 0.0～1.0（ステップ：0.01） | **パラメータ制約に関する注意事項：** - `strength`が0.0以下の場合、または`end_percent`が`start_percent`以下の場合、スムージング効果は適用されません。 @@ -29,9 +27,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 継ぎ目スムージングラッパーが適用された修正済みモデル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 継ぎ目スムージングラッパーが適用された修正済みモデル。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ja.md) --- **Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c` diff --git a/ja/built-in-nodes/HiDreamO1ReferenceImages.mdx b/ja/built-in-nodes/HiDreamO1ReferenceImages.mdx index c4b3aad0f..559389c19 100644 --- a/ja/built-in-nodes/HiDreamO1ReferenceImages.mdx +++ b/ja/built-in-nodes/HiDreamO1ReferenceImages.mdx @@ -5,28 +5,28 @@ sidebarTitle: "HiDreamO1ReferenceImages" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ja.md) - ## 概要 ポジティブおよびネガティブの両方のコンディショニングに参照画像を添付します。このノードを使用すると、1つ以上の参照画像を提供して画像生成プロセスをガイドできます。指示に基づく編集や、被写体駆動型のパーソナライゼーションに使用されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 参照画像を添付するポジティブコンディショニングです。 | -| `ネガティブ` | CONDITIONING | はい | - | 参照画像を添付するネガティブコンディショニングです。 | -| `画像` | IMAGE | はい | 1～10枚 | 参照画像です。1枚の画像で指示ベースの編集が可能になり、2～10枚の画像でマルチリファレンスの被写体駆動型パーソナライゼーションが可能になります。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 参照画像を添付するポジティブコンディショニングです。 | CONDITIONING | はい | - | +| `ネガティブ` | 参照画像を添付するネガティブコンディショニングです。 | CONDITIONING | はい | - | +| `画像` | 参照画像です。1枚の画像で指示ベースの編集が可能になり、2～10枚の画像でマルチリファレンスの被写体駆動型パーソナライゼーションが可能になります。 | IMAGE | はい | 1～10枚 | **`images` パラメータに関する注意:** これは自動拡張入力であり、1～10枚の画像を受け入れます。画像は `image_1` から `image_10` までラベル付けされます。少なくとも1枚の画像を提供する必要があります。画像の枚数によって動作モードが決まります。1枚の画像は編集指示に使用され、複数の画像（2～10枚）は被写体駆動型のパーソナライゼーションに使用されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 参照画像が添付されたポジティブコンディショニングです。 | -| `ネガティブ` | CONDITIONING | 参照画像が添付されたネガティブコンディショニングです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 参照画像が添付されたポジティブコンディショニングです。 | CONDITIONING | +| `ネガティブ` | 参照画像が添付されたネガティブコンディショニングです。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ja.md) --- **Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303` diff --git a/ja/built-in-nodes/HitPawGeneralImageEnhance.mdx b/ja/built-in-nodes/HitPawGeneralImageEnhance.mdx index 72d093a17..6bf0b8263 100644 --- a/ja/built-in-nodes/HitPawGeneralImageEnhance.mdx +++ b/ja/built-in-nodes/HitPawGeneralImageEnhance.mdx @@ -5,26 +5,26 @@ sidebarTitle: "HitPawGeneralImageEnhance" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/ja.md) - このノードは、低解像度の画像を超解像にアップスケールし、アーティファクトやノイズを除去することで画質を向上させます。外部APIを使用して画像を処理し、処理制限内に収まるように入力サイズを自動調整できます。最大出力サイズは4メガピクセルです。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | STRING | はい | `"generative_portrait"`
`"generative"` | 使用する画質向上モデルです。`generative_portrait`モデルはポートレートに最適化されており、`generative`は汎用モデルです。 | -| `画像` | IMAGE | はい | - | 画質を向上させる入力画像です。 | -| `アップスケール倍率` | INT | はい | `1`
`2`
`4` | 画像の寸法をアップスケールする倍率です。1はアップスケールなし、2は寸法を2倍、4は4倍にします。 | -| `自動ダウンスケール` | BOOLEAN | いいえ | - | 出力が制限を超える場合に、入力画像を自動的にダウンスケールします。有効にすると、ノードは要求されたアップスケール倍率を適用する前に、入力画像サイズを4メガピクセルの出力制限内に収まるように縮小しようとします。（デフォルト：`False`） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 使用する画質向上モデルです。`generative_portrait`モデルはポートレートに最適化されており、`generative`は汎用モデルです。 | STRING | はい | `"generative_portrait"`
`"generative"` | +| `画像` | 画質を向上させる入力画像です。 | IMAGE | はい | - | +| `アップスケール倍率` | 画像の寸法をアップスケールする倍率です。1はアップスケールなし、2は寸法を2倍、4は4倍にします。 | INT | はい | `1`
`2`
`4` | +| `自動ダウンスケール` | 出力が制限を超える場合に、入力画像を自動的にダウンスケールします。有効にすると、ノードは要求されたアップスケール倍率を適用する前に、入力画像サイズを4メガピクセルの出力制限内に収まるように縮小しようとします。（デフォルト：`False`） | BOOLEAN | いいえ | - | **注記：** 計算された出力サイズ（入力高さ×アップスケール倍率×入力幅×アップスケール倍率）が4,000,000ピクセル（4MP）を超え、かつ`auto_downscale`が無効の場合、ノードはエラーを発生させます。`auto_downscale`が有効な場合、ノードは要求されたアップスケール倍率を適用する前に、入力画像を制限内に収まるようにダウンスケールしようとします。2倍以上のダウンスケールが必要な場合は、代わりにアップスケール倍率を低減します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 画質が向上し、アップスケールされた出力画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 画質が向上し、アップスケールされた出力画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/ja.md) --- **Source fingerprint (SHA-256):** `29f927d39777acdfba2aad107027672d281c202ec78e04942e405c2cc64fcee4` diff --git a/ja/built-in-nodes/HitPawVideoEnhance.mdx b/ja/built-in-nodes/HitPawVideoEnhance.mdx index 35375bb23..18933da1c 100644 --- a/ja/built-in-nodes/HitPawVideoEnhance.mdx +++ b/ja/built-in-nodes/HitPawVideoEnhance.mdx @@ -5,8 +5,6 @@ sidebarTitle: "HitPawVideoEnhance" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawVideoEnhance/ja.md) - 以下が翻訳結果です。 --- @@ -15,11 +13,11 @@ HitPaw Video Enhance ノードは、外部APIを使用して動画の品質を ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | DYNAMIC COMBO | はい | 複数のオプションから選択可能 | 動画の画質向上に使用するAIモデルです。モデルを選択すると、ネストされた `resolution` パラメータが表示されます。利用可能なモデルとその対応解像度は異なります。 | -| `model.resolution` | COMBO | はい | `"original"`
`"720p"`
`"1080p"`
`"2k/qhd"`
`"4k/uhd"`
`"8k"` | 画質向上後の動画の目標解像度です。選択した `モデル` によっては、一部のオプションが利用できない場合があります。 | -| `動画` | VIDEO | はい | なし | 画質を向上させる入力動画ファイルです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画の画質向上に使用するAIモデルです。モデルを選択すると、ネストされた `resolution` パラメータが表示されます。利用可能なモデルとその対応解像度は異なります。 | DYNAMIC COMBO | はい | 複数のオプションから選択可能 | +| `model.resolution` | 画質向上後の動画の目標解像度です。選択した `モデル` によっては、一部のオプションが利用できない場合があります。 | COMBO | はい | `"original"`
`"720p"`
`"1080p"`
`"2k/qhd"`
`"4k/uhd"`
`"8k"` | +| `動画` | 画質を向上させる入力動画ファイルです。 | VIDEO | はい | なし | **制約事項：** @@ -28,9 +26,11 @@ HitPaw Video Enhance ノードは、外部APIを使用して動画の品質を ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `動画` | VIDEO | 画質が向上した動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `動画` | 画質が向上した動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawVideoEnhance/ja.md) --- **Source fingerprint (SHA-256):** `0f329cbf61784474ee5b97a92d28a3e2383dc40e208f8a8317f3c4f60b43e5b2` diff --git a/ja/built-in-nodes/Hunyuan3Dv2Conditioning.mdx b/ja/built-in-nodes/Hunyuan3Dv2Conditioning.mdx index 8ffc44010..72f112dbe 100644 --- a/ja/built-in-nodes/Hunyuan3Dv2Conditioning.mdx +++ b/ja/built-in-nodes/Hunyuan3Dv2Conditioning.mdx @@ -5,24 +5,24 @@ sidebarTitle: "Hunyuan3Dv2Conditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/ja.md) - 以下が翻訳結果です。 Hunyuan3Dv2Conditioning ノードは、CLIP ビジョン出力を処理して 3D モデル用の条件付けデータを生成します。ビジョン出力から最後の隠れ状態の埋め込みを抽出し、ポジティブ条件付けとネガティブ条件付けのペアを作成します。ポジティブ条件付けは実際の埋め込みを使用し、ネガティブ条件付けは同じ形状のゼロ値埋め込みを使用します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip_vision_output` | CLIP_VISION_OUTPUT | はい | - | 視覚的な埋め込みを含む CLIP ビジョンモデルの出力 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip_vision_output` | 視覚的な埋め込みを含む CLIP ビジョンモデルの出力 | CLIP_VISION_OUTPUT | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `negative` | CONDITIONING | CLIP ビジョン埋め込みを含むポジティブ条件付けデータ | -| `negative` | CONDITIONING | ポジティブ条件付けの形状に一致するゼロ値埋め込みを含むネガティブ条件付けデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `negative` | CLIP ビジョン埋め込みを含むポジティブ条件付けデータ | CONDITIONING | +| `negative` | ポジティブ条件付けの形状に一致するゼロ値埋め込みを含むネガティブ条件付けデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/ja.md) --- **Source fingerprint (SHA-256):** `3a32967d62a0645b0c375b17ab96e20805c2e0005e585dddf5a3a77d35994fec` diff --git a/ja/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx b/ja/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx index 4464fdc6c..02741ef8c 100644 --- a/ja/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx +++ b/ja/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx @@ -5,29 +5,29 @@ sidebarTitle: "Hunyuan3Dv2ConditioningMultiView" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/ja.md) - このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、ぜひご協力ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/en.md) Hunyuan3Dv2ConditioningMultiView ノードは、3D動画生成のためのマルチビューCLIPビジョン埋め込みを処理します。オプションで正面、左、背面、右の各ビュー埋め込みを受け取り、それらを位置エンコーディングと組み合わせて、動画モデル用の条件付けデータを作成します。このノードは、結合された埋め込みからのポジティブ条件付けと、ゼロ値によるネガティブ条件付けの両方を出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `フロント` | CLIP_VISION_OUTPUT | いいえ | - | 正面ビューのCLIPビジョン出力 | -| `左` | CLIP_VISION_OUTPUT | いいえ | - | 左ビューのCLIPビジョン出力 | -| `バック` | CLIP_VISION_OUTPUT | いいえ | - | 背面ビューのCLIPビジョン出力 | -| `右` | CLIP_VISION_OUTPUT | いいえ | - | 右ビューのCLIPビジョン出力 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `フロント` | 正面ビューのCLIPビジョン出力 | CLIP_VISION_OUTPUT | いいえ | - | +| `左` | 左ビューのCLIPビジョン出力 | CLIP_VISION_OUTPUT | いいえ | - | +| `バック` | 背面ビューのCLIPビジョン出力 | CLIP_VISION_OUTPUT | いいえ | - | +| `右` | 右ビューのCLIPビジョン出力 | CLIP_VISION_OUTPUT | いいえ | - | **注記:** ノードが機能するには、少なくとも1つのビュー入力を提供する必要があります。ノードは、有効なCLIPビジョン出力データを含むビューのみを処理します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `negative` | CONDITIONING | 位置エンコーディングを含む結合されたマルチビュー埋め込みによるポジティブ条件付け | -| `negative` | CONDITIONING | 対照学習のためのゼロ値によるネガティブ条件付け | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `negative` | 位置エンコーディングを含む結合されたマルチビュー埋め込みによるポジティブ条件付け | CONDITIONING | +| `negative` | 対照学習のためのゼロ値によるネガティブ条件付け | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/ja.md) --- **Source fingerprint (SHA-256):** `01998ae9ba7d2ae9a2f6a0b5aee4c03168f935fb9769317cd80d93a7a4b96f13` diff --git a/ja/built-in-nodes/HunyuanImageToVideo.mdx b/ja/built-in-nodes/HunyuanImageToVideo.mdx index 7786710d4..ed778dd07 100644 --- a/ja/built-in-nodes/HunyuanImageToVideo.mdx +++ b/ja/built-in-nodes/HunyuanImageToVideo.mdx @@ -5,24 +5,22 @@ sidebarTitle: "HunyuanImageToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanImageToVideo/ja.md) - このドキュメントは AI が生成しました。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanImageToVideo/en.md) HunyuanImageToVideo ノードは、Hunyuan ビデオモデルを使用して画像をビデオの潜在表現に変換します。このノードは、条件付け入力とオプションの開始画像を受け取り、ビデオ生成モデルでさらに処理できるビデオ潜在表現を生成します。開始画像がビデオ生成プロセスに与える影響を制御するために、異なるガイダンスタイプをサポートしています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | ビデオ生成をガイドするためのポジティブ条件付け入力 | -| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするために使用されるVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位）（デフォルト：848、ステップ：16） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位）（デフォルト：480、ステップ：16） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 出力ビデオのフレーム数（デフォルト：53、ステップ：4） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成するビデオの数（デフォルト：1） | -| `ガイダンスタイプ` | COMBO | はい | "v1 (concat)"
"v2 (replace)"
"custom" | 開始画像をビデオ生成に組み込む方法（デフォルト："v1 (concat)"） | -| `開始画像` | IMAGE | いいえ | - | ビデオ生成を初期化するためのオプションの開始画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | ビデオ生成をガイドするためのポジティブ条件付け入力 | CONDITIONING | はい | - | +| `vae` | 画像を潜在空間にエンコードするために使用されるVAEモデル | VAE | はい | - | +| `幅` | 出力ビデオの幅（ピクセル単位）（デフォルト：848、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力ビデオの高さ（ピクセル単位）（デフォルト：480、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | 出力ビデオのフレーム数（デフォルト：53、ステップ：4） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 同時に生成するビデオの数（デフォルト：1） | INT | はい | 1 ～ 4096 | +| `ガイダンスタイプ` | 開始画像をビデオ生成に組み込む方法（デフォルト："v1 (concat)"） | COMBO | はい | "v1 (concat)"
"v2 (replace)"
"custom" | +| `開始画像` | ビデオ生成を初期化するためのオプションの開始画像 | IMAGE | いいえ | - | **注記：** `start_image` が指定された場合、ノードは選択された `guidance_type` に基づいて異なるガイダンス方法を使用します。 @@ -32,10 +30,12 @@ HunyuanImageToVideo ノードは、Hunyuan ビデオモデルを使用して画 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `潜在` | CONDITIONING | `開始画像` が指定された場合に画像ガイダンスが適用された、変更されたポジティブ条件付け | -| `latent` | LATENT | ビデオ生成モデルによるさらなる処理の準備ができたビデオ潜在表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `潜在` | `開始画像` が指定された場合に画像ガイダンスが適用された、変更されたポジティブ条件付け | CONDITIONING | +| `latent` | ビデオ生成モデルによるさらなる処理の準備ができたビデオ潜在表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanImageToVideo/ja.md) --- **Source fingerprint (SHA-256):** `e55e935b7955b28b04014359c544a230c51ee91e21170be1ae4f50705d3e7bba` diff --git a/ja/built-in-nodes/HunyuanRefinerLatent.mdx b/ja/built-in-nodes/HunyuanRefinerLatent.mdx index a4b3a3d5e..19c12fb45 100644 --- a/ja/built-in-nodes/HunyuanRefinerLatent.mdx +++ b/ja/built-in-nodes/HunyuanRefinerLatent.mdx @@ -5,8 +5,6 @@ sidebarTitle: "HunyuanRefinerLatent" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanRefinerLatent/ja.md) - 以下が翻訳結果です。 --- @@ -15,20 +13,22 @@ HunyuanRefinerLatent ノードは、リファインメント処理のために c ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 処理されるポジティブ conditioning 入力 | -| `ネガティブ` | CONDITIONING | はい | - | 処理されるネガティブ conditioning 入力 | -| `潜在表現` | LATENT | はい | - | 潜在表現の入力 | -| `ノイズ増強` | FLOAT | はい | 0.0 - 1.0 | 適用するノイズ拡張の量（デフォルト: 0.10） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 処理されるポジティブ conditioning 入力 | CONDITIONING | はい | - | +| `ネガティブ` | 処理されるネガティブ conditioning 入力 | CONDITIONING | はい | - | +| `潜在表現` | 潜在表現の入力 | LATENT | はい | - | +| `ノイズ増強` | 適用するノイズ拡張の量（デフォルト: 0.10） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | ノイズ拡張と潜在画像の結合が適用された、処理済みのポジティブ conditioning | -| `潜在表現` | CONDITIONING | ノイズ拡張と潜在画像の結合が適用された、処理済みのネガティブ conditioning | -| `潜在表現` | LATENT | 次元 [batch_size, 32, height, width, channels] を持つ新しい潜在変数出力 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | ノイズ拡張と潜在画像の結合が適用された、処理済みのポジティブ conditioning | CONDITIONING | +| `潜在表現` | ノイズ拡張と潜在画像の結合が適用された、処理済みのネガティブ conditioning | CONDITIONING | +| `潜在表現` | 次元 [batch_size, 32, height, width, channels] を持つ新しい潜在変数出力 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanRefinerLatent/ja.md) --- **Source fingerprint (SHA-256):** `f097b58f1948e5c0801f81b51a5189619695a6afa189368aff4c64b126fc5ce5` diff --git a/ja/built-in-nodes/HunyuanVideo15ImageToVideo.mdx b/ja/built-in-nodes/HunyuanVideo15ImageToVideo.mdx index 610ad63bd..d42fc56c2 100644 --- a/ja/built-in-nodes/HunyuanVideo15ImageToVideo.mdx +++ b/ja/built-in-nodes/HunyuanVideo15ImageToVideo.mdx @@ -5,35 +5,35 @@ sidebarTitle: "HunyuanVideo15ImageToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15ImageToVideo/ja.md) - 以下が翻訳結果です。 HunyuanVideo15ImageToVideo ノードは、HunyuanVideo 1.5 モデルに基づいて動画生成のための条件付け（conditioning）および潜在空間データを準備します。このノードは動画シーケンスの初期潜在表現を作成し、オプションで開始画像や CLIP ビジョン出力を統合して生成プロセスをガイドします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 動画に含める内容を記述するポジティブ条件付けプロンプトです。 | -| `ネガティブ` | CONDITIONING | はい | - | 動画で避けるべき内容を記述するネガティブ条件付けプロンプトです。 | -| `vae` | VAE | はい | - | 開始画像を潜在空間にエンコードするために使用される VAE（変分オートエンコーダ）モデルです。 | -| `幅` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画フレームの幅（ピクセル単位）です。16 で割り切れる必要があります。（デフォルト：848） | -| `高さ` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画フレームの高さ（ピクセル単位）です。16 で割り切れる必要があります。（デフォルト：480） | -| `長さ` | INT | いいえ | 1 ～ MAX_RESOLUTION | 動画シーケンスの総フレーム数です。4 の倍数である必要があります。（デフォルト：33） | -| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | 1 回のバッチで生成する動画シーケンスの数です。（デフォルト：1） | -| `開始画像` | IMAGE | いいえ | - | 動画生成を初期化するためのオプションの開始画像です。指定された場合、エンコードされて最初のフレームの条件付けに使用されます。画像の最初の `長さ` フレームのみが使用されます。 | -| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | - | 生成に追加の視覚的条件付けを提供するためのオプションの CLIP ビジョン埋め込みです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 動画に含める内容を記述するポジティブ条件付けプロンプトです。 | CONDITIONING | はい | - | +| `ネガティブ` | 動画で避けるべき内容を記述するネガティブ条件付けプロンプトです。 | CONDITIONING | はい | - | +| `vae` | 開始画像を潜在空間にエンコードするために使用される VAE（変分オートエンコーダ）モデルです。 | VAE | はい | - | +| `幅` | 出力動画フレームの幅（ピクセル単位）です。16 で割り切れる必要があります。（デフォルト：848） | INT | いいえ | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力動画フレームの高さ（ピクセル単位）です。16 で割り切れる必要があります。（デフォルト：480） | INT | いいえ | 16 ～ MAX_RESOLUTION | +| `長さ` | 動画シーケンスの総フレーム数です。4 の倍数である必要があります。（デフォルト：33） | INT | いいえ | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 1 回のバッチで生成する動画シーケンスの数です。（デフォルト：1） | INT | いいえ | 1 ～ 4096 | +| `開始画像` | 動画生成を初期化するためのオプションの開始画像です。指定された場合、エンコードされて最初のフレームの条件付けに使用されます。画像の最初の `長さ` フレームのみが使用されます。 | IMAGE | いいえ | - | +| `clip_vision_output` | 生成に追加の視覚的条件付けを提供するためのオプションの CLIP ビジョン埋め込みです。 | CLIP_VISION_OUTPUT | いいえ | - | **注記：** `start_image` が指定された場合、バイリニア補間を使用して指定された `width` および `height` に自動的にリサイズされます。画像バッチの最初の `length` フレームが使用されます。その後、エンコードされた画像は `concat_latent_image` として、対応する `concat_mask` とともに `positive` 条件付けと `negative` 条件付けの両方に追加されます。マスクは、開始画像でカバーされるフレームに対しては 0.0 に、残りのフレームに対しては 1.0 に設定されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 変更されたポジティブ条件付けです。エンコードされた開始画像や CLIP ビジョン出力が含まれる場合があります。 | -| `latent` | CONDITIONING | 変更されたネガティブ条件付けです。エンコードされた開始画像や CLIP ビジョン出力が含まれる場合があります。 | -| `latent` | LATENT | 指定されたバッチサイズ、動画長、幅、高さに合わせて次元が設定された空の潜在テンソルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 変更されたポジティブ条件付けです。エンコードされた開始画像や CLIP ビジョン出力が含まれる場合があります。 | CONDITIONING | +| `latent` | 変更されたネガティブ条件付けです。エンコードされた開始画像や CLIP ビジョン出力が含まれる場合があります。 | CONDITIONING | +| `latent` | 指定されたバッチサイズ、動画長、幅、高さに合わせて次元が設定された空の潜在テンソルです。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15ImageToVideo/ja.md) --- **Source fingerprint (SHA-256):** `2f41bbb080672683fb1755be575f08c79ca03e324df66953eb40631581197d47` diff --git a/ja/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx b/ja/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx index 9fc83f5e1..0e8f998c0 100644 --- a/ja/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx +++ b/ja/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx @@ -5,30 +5,30 @@ sidebarTitle: "HunyuanVideo15LatentUpscaleWithModel" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/ja.md) - このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/en.md) Hunyuan Video 15 Latent Upscale With Model ノードは、潜在画像表現の解像度を向上させます。まず、選択した補間方式を使用して潜在サンプルを指定サイズにアップスケールし、その後、専用の Hunyuan Video 1.5 アップスケールモデルを使用してアップスケール結果を精緻化し、品質を改善します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | LATENT_UPSCALE_MODEL | はい | なし | アップスケールされたサンプルを精緻化するために使用する Hunyuan Video 1.5 潜在アップスケールモデル。 | -| `サンプル` | LATENT | はい | なし | アップスケールする潜在画像表現。 | -| `アップスケール方法` | COMBO | いいえ | `"nearest-exact"`
`"bilinear"`
`"area"`
`"bicubic"`
`"bislerp"` | 初期アップスケール工程で使用する補間アルゴリズム（デフォルト: `"bilinear"`）。 | -| `幅` | INT | いいえ | 0～16384 | アップスケール後の潜在表現の目標幅（ピクセル単位）。0を指定すると、目標高さと元のアスペクト比に基づいて幅が自動計算されます。最終的な出力幅は16の倍数になります（デフォルト: 1280）。 | -| `高さ` | INT | いいえ | 0～16384 | アップスケール後の潜在表現の目標高さ（ピクセル単位）。0を指定すると、目標幅と元のアスペクト比に基づいて高さが自動計算されます。最終的な出力高さは16の倍数になります（デフォルト: 720）。 | -| `切り抜き` | COMBO | いいえ | `"disabled"`
`"center"` | アップスケールされた潜在表現を目標寸法に合わせてトリミングする方法を指定します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | アップスケールされたサンプルを精緻化するために使用する Hunyuan Video 1.5 潜在アップスケールモデル。 | LATENT_UPSCALE_MODEL | はい | なし | +| `サンプル` | アップスケールする潜在画像表現。 | LATENT | はい | なし | +| `アップスケール方法` | 初期アップスケール工程で使用する補間アルゴリズム（デフォルト: `"bilinear"`）。 | COMBO | いいえ | `"nearest-exact"`
`"bilinear"`
`"area"`
`"bicubic"`
`"bislerp"` | +| `幅` | アップスケール後の潜在表現の目標幅（ピクセル単位）。0を指定すると、目標高さと元のアスペクト比に基づいて幅が自動計算されます。最終的な出力幅は16の倍数になります（デフォルト: 1280）。 | INT | いいえ | 0～16384 | +| `高さ` | アップスケール後の潜在表現の目標高さ（ピクセル単位）。0を指定すると、目標幅と元のアスペクト比に基づいて高さが自動計算されます。最終的な出力高さは16の倍数になります（デフォルト: 720）。 | INT | いいえ | 0～16384 | +| `切り抜き` | アップスケールされた潜在表現を目標寸法に合わせてトリミングする方法を指定します。 | COMBO | いいえ | `"disabled"`
`"center"` | **寸法に関する注意事項:** `width` と `height` の両方が0に設定されている場合、ノードは入力された `samples` を変更せずにそのまま返します。どちらか一方の寸法のみが0に設定されている場合、元のアスペクト比を維持するように他方の寸法が計算されます。最終的な寸法は常に少なくとも64ピクセル以上に調整され、16で割り切れる値になります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `LATENT` | LATENT | アップスケールされ、モデルによって精緻化された潜在画像表現。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `LATENT` | アップスケールされ、モデルによって精緻化された潜在画像表現。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/ja.md) --- **Source fingerprint (SHA-256):** `1de9e157c1a0433f1b3d5ff4d428a1aa392fd65da5e314e6e818ce66495d5ef4` diff --git a/ja/built-in-nodes/HunyuanVideo15SuperResolution.mdx b/ja/built-in-nodes/HunyuanVideo15SuperResolution.mdx index 33ff20f5c..88962905f 100644 --- a/ja/built-in-nodes/HunyuanVideo15SuperResolution.mdx +++ b/ja/built-in-nodes/HunyuanVideo15SuperResolution.mdx @@ -5,33 +5,33 @@ sidebarTitle: "HunyuanVideo15SuperResolution" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15SuperResolution/ja.md) - 以下が翻訳結果です。 HunyuanVideo15SuperResolution ノードは、ビデオの超解像処理のための conditioning データを準備します。このノードは、ビデオの潜在表現と、オプションで開始画像を受け取り、それらをノイズ拡張データおよび CLIP ビジョンデータとともにパッケージ化し、モデルが高解像度出力を生成するために使用できる形式に変換します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | なし | 潜在データおよび拡張データで変更されるポジティブ conditioning 入力です。 | -| `ネガティブ` | CONDITIONING | はい | なし | 潜在データおよび拡張データで変更されるネガティブ conditioning 入力です。 | -| `vae` | VAE | いいえ | なし | オプションの `開始画像` をエンコードするために使用される VAE です。`開始画像` が指定されている場合に必要です。 | -| `開始画像` | IMAGE | いいえ | なし | 超解像をガイドするためのオプションの開始画像です。指定された場合、アップスケールされ、conditioning 潜在データにエンコードされます。 | -| `clipビジョン出力` | CLIP_VISION_OUTPUT | いいえ | なし | conditioning に追加するオプションの CLIP ビジョン埋め込みです。 | -| `潜在` | LATENT | はい | なし | conditioning に組み込まれる入力ビデオの潜在表現です。 | -| `ノイズ拡張` | FLOAT | いいえ | 0.0 - 1.0 | conditioning に適用するノイズ拡張の強度です（デフォルト：0.70）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 潜在データおよび拡張データで変更されるポジティブ conditioning 入力です。 | CONDITIONING | はい | なし | +| `ネガティブ` | 潜在データおよび拡張データで変更されるネガティブ conditioning 入力です。 | CONDITIONING | はい | なし | +| `vae` | オプションの `開始画像` をエンコードするために使用される VAE です。`開始画像` が指定されている場合に必要です。 | VAE | いいえ | なし | +| `開始画像` | 超解像をガイドするためのオプションの開始画像です。指定された場合、アップスケールされ、conditioning 潜在データにエンコードされます。 | IMAGE | いいえ | なし | +| `clipビジョン出力` | conditioning に追加するオプションの CLIP ビジョン埋め込みです。 | CLIP_VISION_OUTPUT | いいえ | なし | +| `潜在` | conditioning に組み込まれる入力ビデオの潜在表現です。 | LATENT | はい | なし | +| `ノイズ拡張` | conditioning に適用するノイズ拡張の強度です（デフォルト：0.70）。 | FLOAT | いいえ | 0.0 - 1.0 | **注記：** `start_image` を指定する場合は、それをエンコードするために `vae` も接続する必要があります。`start_image` は、入力 `latent` が示す寸法に合わせて自動的にアップスケールされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 変更されたポジティブ conditioning です。連結された潜在データ、ノイズ拡張、およびオプションの CLIP ビジョンデータが含まれます。 | -| `潜在` | CONDITIONING | 変更されたネガティブ conditioning です。連結された潜在データ、ノイズ拡張、およびオプションの CLIP ビジョンデータが含まれます。 | -| `潜在` | LATENT | 入力された潜在データがそのまま出力されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 変更されたポジティブ conditioning です。連結された潜在データ、ノイズ拡張、およびオプションの CLIP ビジョンデータが含まれます。 | CONDITIONING | +| `潜在` | 変更されたネガティブ conditioning です。連結された潜在データ、ノイズ拡張、およびオプションの CLIP ビジョンデータが含まれます。 | CONDITIONING | +| `潜在` | 入力された潜在データがそのまま出力されます。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15SuperResolution/ja.md) --- **Source fingerprint (SHA-256):** `f913327a81d034997fa8a485ca4b3691f75ba1d3c5c6e2e73ab107021b58a52a` diff --git a/ja/built-in-nodes/HyperTile.mdx b/ja/built-in-nodes/HyperTile.mdx index 8595ff5cf..b915a203f 100644 --- a/ja/built-in-nodes/HyperTile.mdx +++ b/ja/built-in-nodes/HyperTile.mdx @@ -5,27 +5,27 @@ sidebarTitle: "HyperTile" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HyperTile/ja.md) - 以下が翻訳結果です。 HyperTile ノードは、拡散モデルのアテンション機構にタイル分割手法を適用し、画像生成時のメモリ使用量を最適化します。潜在空間をより小さなタイルに分割して個別に処理し、その後結果を再結合します。これにより、メモリ不足を起こさずに、より大きな画像サイズでの作業が可能になります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | HyperTile 最適化を適用する拡散モデル | -| `タイルサイズ` | INT | いいえ | 1 - 2048 | 処理の対象となるタイルサイズ（デフォルト：256）。実際のタイルサイズは 8 の倍数に切り捨てられ、最小値は 32 です。 | -| `スワップサイズ` | INT | いいえ | 1 - 128 | 処理効率を向上させるためにタイルを再配置する方法を制御します（デフォルト：2） | -| `最大深度` | INT | いいえ | 0 - 10 | タイル分割を適用する最大深度レベル（解像度スケール）。値 0 は最高解像度でのみタイル分割を適用します（デフォルト：0） | -| `スケール深度` | BOOLEAN | いいえ | True / False | 有効にすると、より深い深度レベルでタイルサイズが比例して拡大縮小されます。これにより、低解像度での品質維持に役立ちます（デフォルト：False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | HyperTile 最適化を適用する拡散モデル | MODEL | はい | - | +| `タイルサイズ` | 処理の対象となるタイルサイズ（デフォルト：256）。実際のタイルサイズは 8 の倍数に切り捨てられ、最小値は 32 です。 | INT | いいえ | 1 - 2048 | +| `スワップサイズ` | 処理効率を向上させるためにタイルを再配置する方法を制御します（デフォルト：2） | INT | いいえ | 1 - 128 | +| `最大深度` | タイル分割を適用する最大深度レベル（解像度スケール）。値 0 は最高解像度でのみタイル分割を適用します（デフォルト：0） | INT | いいえ | 0 - 10 | +| `スケール深度` | 有効にすると、より深い深度レベルでタイルサイズが比例して拡大縮小されます。これにより、低解像度での品質維持に役立ちます（デフォルト：False） | BOOLEAN | いいえ | True / False | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | HyperTile 最適化が適用された変更後のモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | HyperTile 最適化が適用された変更後のモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HyperTile/ja.md) --- **Source fingerprint (SHA-256):** `d3c55e6a38abecc8fe612dbb91a3ba26de9bc5cf8a187f01cf4746550f62f40a` diff --git a/ja/built-in-nodes/HypernetworkLoader.mdx b/ja/built-in-nodes/HypernetworkLoader.mdx index 7542a7c0b..bd59f9937 100644 --- a/ja/built-in-nodes/HypernetworkLoader.mdx +++ b/ja/built-in-nodes/HypernetworkLoader.mdx @@ -5,22 +5,22 @@ sidebarTitle: "HypernetworkLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HypernetworkLoader/ja.md) - このノードは、`ComfyUI/models/hypernetworks` フォルダ内のモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み込ませる必要があります。 HypernetworkLoader ノードは、ハイパーネットワークを適用することで、指定されたモデルの機能を強化または変更するように設計されています。指定されたハイパーネットワークを読み込み、それをモデルに適用し、強度パラメータに基づいてモデルの動作やパフォーマンスを変更する可能性があります。このプロセスにより、モデルのアーキテクチャやパラメータを動的に調整でき、より柔軟で適応性の高い AI システムを実現します。 ## 入力 -| フィールド | Comfy データ型 | 説明 | -|------------------------|-------------------|-----------------------------------------------------------------------------------------------| -| `モデル` | `MODEL` | ハイパーネットワークが適用されるベースモデルです。強化または変更されるアーキテクチャを決定します。 | -| `hypernetwork_name` | `COMBO[STRING]` | 読み込まれてモデルに適用されるハイパーネットワークの名前です。モデルの変更後の動作やパフォーマンスに影響を与えます。 | -| `強度` | `FLOAT` | モデルに対するハイパーネットワークの効果の強度を調整するスカラー値で、変更内容の微調整を可能にします。 | +| フィールド | 説明 | Comfy データ型 | +| --- | --- | --- | +| `モデル` | ハイパーネットワークが適用されるベースモデルです。強化または変更されるアーキテクチャを決定します。 | `MODEL` | +| `hypernetwork_name` | 読み込まれてモデルに適用されるハイパーネットワークの名前です。モデルの変更後の動作やパフォーマンスに影響を与えます。 | `COMBO[STRING]` | +| `強度` | モデルに対するハイパーネットワークの効果の強度を調整するスカラー値で、変更内容の微調整を可能にします。 | `FLOAT` | ## 出力 -| フィールド | データ型 | 説明 | -|------------|-------------|---------------------------------------------------------------------------------------------------| -| `モデル` | `MODEL` | ハイパーネットワークが適用された後の変更済みモデルです。元のモデルに対するハイパーネットワークの影響を示します。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | ハイパーネットワークが適用された後の変更済みモデルです。元のモデルに対するハイパーネットワークの影響を示します。 | `MODEL` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HypernetworkLoader/ja.md) diff --git a/ja/built-in-nodes/Ideogram4Scheduler.mdx b/ja/built-in-nodes/Ideogram4Scheduler.mdx new file mode 100644 index 000000000..442edc55f --- /dev/null +++ b/ja/built-in-nodes/Ideogram4Scheduler.mdx @@ -0,0 +1,31 @@ +--- +title: "Ideogram4Scheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Ideogram4Scheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Ideogram4Scheduler" +icon: "circle" +mode: wide +--- +# Ideogram 4 スケジューラー + +Ideogram 4 スケジューラーノードは、Ideogram 4 リファレンススケジュールに基づいて、拡散サンプリングプロセス用のシグマ値（ノイズレベル）のシーケンスを生成します。画像の寸法に適応し、統計パラメータを通じて微調整が可能なカスタムノイズスケジュールを作成します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `ステップ数` | スケジュールを生成するサンプリングステップ数（デフォルト: 20） | INT | はい | 1 ～ 200 | +| `幅` | 画像の幅（ピクセル単位）（デフォルト: 1024） | INT | はい | 256 ～ 8192（ステップ: 16） | +| `高さ` | 画像の高さ（ピクセル単位）（デフォルト: 1024） | INT | はい | 256 ～ 8192（ステップ: 16） | +| `μ` | ロジット正規分布の平均パラメータ。中心ノイズレベルを制御します（デフォルト: 0.0） | FLOAT | はい | -10.0 ～ 10.0（ステップ: 0.05） | +| `σ` | ロジット正規分布の標準偏差パラメータ。ノイズレベルの広がりを制御します（デフォルト: 1.75） | FLOAT | はい | 0.1 ～ 5.0（ステップ: 0.05） | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `SIGMAS` | ノイズスケジュールを表すシグマ値のテンソル。長さは `steps + 1` です。値は高ノイズから低ノイズへと降順に並び、最終値は完全なノイズ除去のために 0.0 に設定されます。 | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Ideogram4Scheduler/ja.md) + +--- +**Source fingerprint (SHA-256):** `408ea680158500690e28e300098a5c4fd13eb1a2c96c3d95db06244151116f22` diff --git a/ja/built-in-nodes/IdeogramV1.mdx b/ja/built-in-nodes/IdeogramV1.mdx index 9bdffdc9c..9bd15ab01 100644 --- a/ja/built-in-nodes/IdeogramV1.mdx +++ b/ja/built-in-nodes/IdeogramV1.mdx @@ -5,30 +5,30 @@ sidebarTitle: "IdeogramV1" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV1/ja.md) - ## 概要 IdeogramV1 ノードは、API を通じて Ideogram V1 モデルを使用して画像を生成します。テキストプロンプトと各種生成設定を受け取り、入力に基づいて1つ以上の画像を作成します。このノードは、異なるアスペクト比や生成モードをサポートしており、出力をカスタマイズできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空） | -| `ターボ` | BOOLEAN | はい | - | ターボモードを使用するかどうか（生成が高速化されますが、品質が低下する可能性があります）（デフォルト：False） | -| `アスペクト比` | COMBO | いいえ | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | 画像生成のアスペクト比（デフォルト："1:1"） | -| `マジックプロンプトオプション` | COMBO | いいえ | "AUTO"
"ON"
"OFF" | 生成時に MagicPrompt を使用するかどうかを指定します（デフォルト："AUTO"） | -| `シード` | INT | いいえ | 0-2147483647 | 生成のためのランダムシード値（デフォルト：0） | -| `ネガティブプロンプト` | STRING | いいえ | - | 画像から除外する内容の説明（デフォルト：空） | -| `画像数` | INT | いいえ | 1-8 | 生成する画像の数（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 画像生成のためのプロンプト（デフォルト：空） | STRING | はい | - | +| `ターボ` | ターボモードを使用するかどうか（生成が高速化されますが、品質が低下する可能性があります）（デフォルト：False） | BOOLEAN | はい | - | +| `アスペクト比` | 画像生成のアスペクト比（デフォルト："1:1"） | COMBO | いいえ | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | +| `マジックプロンプトオプション` | 生成時に MagicPrompt を使用するかどうかを指定します（デフォルト："AUTO"） | COMBO | いいえ | "AUTO"
"ON"
"OFF" | +| `シード` | 生成のためのランダムシード値（デフォルト：0） | INT | いいえ | 0-2147483647 | +| `ネガティブプロンプト` | 画像から除外する内容の説明（デフォルト：空） | STRING | いいえ | - | +| `画像数` | 生成する画像の数（デフォルト：1） | INT | いいえ | 1-8 | **注記：** `num_images` パラメータは、1回の生成リクエストあたり最大8枚までです。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | Ideogram V1 モデルによって生成された画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | Ideogram V1 モデルによって生成された画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV1/ja.md) --- **Source fingerprint (SHA-256):** `7e453cd54b5db48588ed899b0754e0d06fdcfbaed248d13fb74b7049f0f25b8f` diff --git a/ja/built-in-nodes/IdeogramV2.mdx b/ja/built-in-nodes/IdeogramV2.mdx index 78a485dd1..e1b0105d5 100644 --- a/ja/built-in-nodes/IdeogramV2.mdx +++ b/ja/built-in-nodes/IdeogramV2.mdx @@ -5,8 +5,6 @@ sidebarTitle: "IdeogramV2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV2/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,25 +12,27 @@ Ideogram V2 ノードは、Ideogram V2 AI モデルを使用して画像を生 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空文字列） | -| `ターボ` | BOOLEAN | いいえ | - | ターボモードを使用するかどうか（生成が高速化されますが、品質が低下する可能性があります）（デフォルト：False） | -| `アスペクト比` | COMBO | いいえ | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | 画像生成のアスペクト比。解像度が AUTO に設定されていない場合は無視されます。（デフォルト："1:1"） | -| `解像度` | COMBO | いいえ | "Auto"
"1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | 画像生成の解像度。AUTO に設定されていない場合、この設定は aspect_ratio 設定を上書きします。（デフォルト："Auto"） | -| `マジックプロンプトオプション` | COMBO | いいえ | "AUTO"
"ON"
"OFF" | 生成時に MagicPrompt を使用するかどうかを決定します（デフォルト："AUTO"） | -| `シード` | INT | いいえ | 0-2147483647 | 生成のためのランダムシード（デフォルト：0） | -| `スタイルタイプ` | COMBO | いいえ | "AUTO"
"GENERAL"
"REALISTIC"
"DESIGN"
"RENDER_3D"
"ANIME" | 生成のためのスタイルタイプ（V2 のみ）（デフォルト："NONE"） | -| `ネガティブプロンプト` | STRING | いいえ | - | 画像から除外する内容の説明（デフォルト：空文字列） | -| `画像数` | INT | いいえ | 1-8 | 生成する画像の数（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 画像生成のためのプロンプト（デフォルト：空文字列） | STRING | はい | - | +| `ターボ` | ターボモードを使用するかどうか（生成が高速化されますが、品質が低下する可能性があります）（デフォルト：False） | BOOLEAN | いいえ | - | +| `アスペクト比` | 画像生成のアスペクト比。解像度が AUTO に設定されていない場合は無視されます。（デフォルト："1:1"） | COMBO | いいえ | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | +| `解像度` | 画像生成の解像度。AUTO に設定されていない場合、この設定は aspect_ratio 設定を上書きします。（デフォルト："Auto"） | COMBO | いいえ | "Auto"
"1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | +| `マジックプロンプトオプション` | 生成時に MagicPrompt を使用するかどうかを決定します（デフォルト："AUTO"） | COMBO | いいえ | "AUTO"
"ON"
"OFF" | +| `シード` | 生成のためのランダムシード（デフォルト：0） | INT | いいえ | 0-2147483647 | +| `スタイルタイプ` | 生成のためのスタイルタイプ（V2 のみ）（デフォルト："NONE"） | COMBO | いいえ | "AUTO"
"GENERAL"
"REALISTIC"
"DESIGN"
"RENDER_3D"
"ANIME" | +| `ネガティブプロンプト` | 画像から除外する内容の説明（デフォルト：空文字列） | STRING | いいえ | - | +| `画像数` | 生成する画像の数（デフォルト：1） | INT | いいえ | 1-8 | **注意:** `resolution` が "Auto" に設定されていない場合、`aspect_ratio` 設定を上書きします。`num_images` パラメータは、1回の生成につき最大8枚までです。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | Ideogram V2 モデルから生成された画像（群） | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | Ideogram V2 モデルから生成された画像（群） | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV2/ja.md) --- **Source fingerprint (SHA-256):** `c0ba21cb62ad75212c960e2bf6730a39c6479c7389a58c50968c66cc8964f5e3` diff --git a/ja/built-in-nodes/IdeogramV3.mdx b/ja/built-in-nodes/IdeogramV3.mdx index 9bba8686b..c52fd14be 100644 --- a/ja/built-in-nodes/IdeogramV3.mdx +++ b/ja/built-in-nodes/IdeogramV3.mdx @@ -5,27 +5,25 @@ sidebarTitle: "IdeogramV3" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV3/ja.md) - 以下が翻訳結果です。 Ideogram V3 ノードは、Ideogram V3 モデルを使用して画像を生成します。テキストプロンプトからの通常の画像生成と、画像とマスクの両方が提供された場合の画像編集の両方をサポートしています。このノードは、アスペクト比、解像度、生成速度、およびオプションのキャラクター参照画像に関するさまざまな制御機能を提供します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | 画像生成または編集のためのプロンプト（デフォルト：空） | -| `画像` | IMAGE | いいえ | - | 画像編集用のオプションの参照画像 | -| `マスク` | MASK | いいえ | - | インペインティング用のオプションのマスク（白い領域が置き換えられます） | -| `アスペクト比` | COMBO | いいえ | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | 画像生成のアスペクト比。解像度がAutoに設定されていない場合は無視されます（デフォルト："1:1"） | -| `解像度` | COMBO | いいえ | "Auto"
"1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | 画像生成の解像度。Autoに設定されていない場合、この設定はaspect_ratio設定を上書きします（デフォルト："Auto"） | -| `マジックプロンプトオプション` | COMBO | いいえ | "AUTO"
"ON"
"OFF" | 生成時にMagicPromptを使用するかどうかを決定します（デフォルト："AUTO"） | -| `シード` | INT | いいえ | 0-2147483647 | 生成用のランダムシード（デフォルト：0） | -| `画像数` | INT | いいえ | 1-8 | 生成する画像の数（デフォルト：1） | -| `レンダリング速度` | COMBO | いいえ | "DEFAULT"
"TURBO"
"QUALITY" | 生成速度と品質のトレードオフを制御します（デフォルト："DEFAULT"） | -| `キャラクター画像` | IMAGE | いいえ | - | キャラクター参照として使用する画像 | -| `キャラクターマスク` | MASK | いいえ | - | キャラクター参照画像用のオプションのマスク | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 画像生成または編集のためのプロンプト（デフォルト：空） | STRING | はい | - | +| `画像` | 画像編集用のオプションの参照画像 | IMAGE | いいえ | - | +| `マスク` | インペインティング用のオプションのマスク（白い領域が置き換えられます） | MASK | いいえ | - | +| `アスペクト比` | 画像生成のアスペクト比。解像度がAutoに設定されていない場合は無視されます（デフォルト："1:1"） | COMBO | いいえ | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | +| `解像度` | 画像生成の解像度。Autoに設定されていない場合、この設定はaspect_ratio設定を上書きします（デフォルト："Auto"） | COMBO | いいえ | "Auto"
"1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | +| `マジックプロンプトオプション` | 生成時にMagicPromptを使用するかどうかを決定します（デフォルト："AUTO"） | COMBO | いいえ | "AUTO"
"ON"
"OFF" | +| `シード` | 生成用のランダムシード（デフォルト：0） | INT | いいえ | 0-2147483647 | +| `画像数` | 生成する画像の数（デフォルト：1） | INT | いいえ | 1-8 | +| `レンダリング速度` | 生成速度と品質のトレードオフを制御します（デフォルト："DEFAULT"） | COMBO | いいえ | "DEFAULT"
"TURBO"
"QUALITY" | +| `キャラクター画像` | キャラクター参照として使用する画像 | IMAGE | いいえ | - | +| `キャラクターマスク` | キャラクター参照画像用のオプションのマスク | MASK | いいえ | - | **パラメータの制約：** @@ -38,9 +36,11 @@ Ideogram V3 ノードは、Ideogram V3 モデルを使用して画像を生成 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | 生成または編集された画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成または編集された画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV3/ja.md) --- **Source fingerprint (SHA-256):** `0d0058cc8483c453100d8d9dfcb9a31ae5e686f38ced77ed7e472cd083c3464b` diff --git a/ja/built-in-nodes/IdeogramV4.mdx b/ja/built-in-nodes/IdeogramV4.mdx new file mode 100644 index 000000000..aa9f884f9 --- /dev/null +++ b/ja/built-in-nodes/IdeogramV4.mdx @@ -0,0 +1,30 @@ +--- +title: "IdeogramV4 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the IdeogramV4 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "IdeogramV4" +icon: "circle" +mode: wide +--- +# Ideogram V4 + +テキストプロンプトからIdeogram 4.0モデルを使用して画像を生成します。このノードは、テキストによる説明をIdeogram APIに送信し、生成された画像を出力テンソルとして返します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `プロンプト` | 画像生成のためのテキストプロンプト。 | STRING | はい | 制限なし | +| `解像度` | 生成される画像の解像度。デフォルトは「Auto」で、モデルが最適な解像度を選択します。 | COMBO | はい | `"Auto"`
`"2048x2048 (1:1)"`
`"1440x2880 (1:2)"`
`"2880x1440 (2:1)"`
`"1664x2496 (2:3)"`
`"2496x1664 (3:2)"`
`"1792x2240 (4:5)"`
`"2240x1792 (5:4)"`
`"1440x2560 (9:16)"`
`"2560x1440 (16:9)"`
`"1600x2560 (5:8)"`
`"2560x1600 (8:5)"`
`"1728x2304 (3:4)"`
`"2304x1728 (4:3)"`
`"1296x3168 (9:22)"`
`"3168x1296 (22:9)"`
`"1152x2944 (9:23)"`
`"2944x1152 (23:9)"`
`"1248x3328 (3:8)"`
`"3328x1248 (8:3)"`
`"1280x3072 (5:12)"`
`"3072x1280 (12:5)"` | +| `レンダリング速度` | 生成速度と品質のトレードオフを制御します。デフォルトは「DEFAULT」です。 | COMBO | はい | `"DEFAULT"`
`"TURBO"`
`"QUALITY"` | +| `seed` | 再現可能な生成のためのシード値。デフォルトは0です。 | INT | はい | 最小: 0
最大: 2147483647 | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `IMAGE` | 生成された画像をテンソルとして出力します。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV4/ja.md) + +--- +**Source fingerprint (SHA-256):** `47a486824211d34b9109c5038b0b094d192c4e243c0a6c4ceab13af3bdabe6e4` diff --git a/ja/built-in-nodes/ImageAddNoise.mdx b/ja/built-in-nodes/ImageAddNoise.mdx index bf8e5d8e1..16c9110da 100644 --- a/ja/built-in-nodes/ImageAddNoise.mdx +++ b/ja/built-in-nodes/ImageAddNoise.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ImageAddNoise" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageAddNoise/ja.md) - 以下が翻訳結果です。 ImageAddNoise ノードは、入力画像にランダムノイズを追加します。指定されたランダムシードを使用して一貫性のあるノイズパターンを生成し、ノイズ効果の強度を制御できます。出力画像は入力と同じ寸法を維持しますが、視覚的なテクスチャが追加されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | ノイズを追加する入力画像 | -| `シード` | INT | はい | 0 ～ 18446744073709551615 | ノイズ生成に使用するランダムシード（デフォルト: 0） | -| `強度` | FLOAT | はい | 0.0 ～ 1.0 | ノイズ効果の強度を制御します（デフォルト: 0.5） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | ノイズを追加する入力画像 | IMAGE | はい | - | +| `シード` | ノイズ生成に使用するランダムシード（デフォルト: 0） | INT | はい | 0 ～ 18446744073709551615 | +| `強度` | ノイズ効果の強度を制御します（デフォルト: 0.5） | FLOAT | はい | 0.0 ～ 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | ノイズが適用された出力画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | ノイズが適用された出力画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageAddNoise/ja.md) --- **Source fingerprint (SHA-256):** `8abfc64500e5ff8fe7589763a07c15d771e9a5a6a61bae9ec4d819be9bf71810` diff --git a/ja/built-in-nodes/ImageBatch.mdx b/ja/built-in-nodes/ImageBatch.mdx index 99d796f5a..512b5aaa9 100644 --- a/ja/built-in-nodes/ImageBatch.mdx +++ b/ja/built-in-nodes/ImageBatch.mdx @@ -5,19 +5,19 @@ sidebarTitle: "ImageBatch" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBatch/ja.md) - `ImageBatch`ノードは、2つの画像を1つのバッチに結合するために設計されています。画像の寸法が一致しない場合、結合前に2番目の画像を自動的に1番目の画像の寸法に合わせて再スケーリングします。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `画像1` | `IMAGE` | バッチに結合される最初の画像です。必要に応じて2番目の画像が調整される際の寸法の基準となります。 | -| `画像2` | `IMAGE` | バッチに結合される2番目の画像です。1番目の画像と寸法が異なる場合、自動的に1番目の画像の寸法に合わせて再スケーリングされます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像1` | バッチに結合される最初の画像です。必要に応じて2番目の画像が調整される際の寸法の基準となります。 | `IMAGE` | +| `画像2` | バッチに結合される2番目の画像です。1番目の画像と寸法が異なる場合、自動的に1番目の画像の寸法に合わせて再スケーリングされます。 | `IMAGE` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `image` | `IMAGE` | 結合された画像のバッチです。必要に応じて2番目の画像が1番目の画像の寸法に合わせて再スケーリングされています。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `image` | 結合された画像のバッチです。必要に応じて2番目の画像が1番目の画像の寸法に合わせて再スケーリングされています。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBatch/ja.md) diff --git a/ja/built-in-nodes/ImageBlend.mdx b/ja/built-in-nodes/ImageBlend.mdx index a10dce1ac..4113dabb6 100644 --- a/ja/built-in-nodes/ImageBlend.mdx +++ b/ja/built-in-nodes/ImageBlend.mdx @@ -5,21 +5,21 @@ sidebarTitle: "ImageBlend" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBlend/ja.md) - `ImageBlend`ノードは、指定されたブレンドモードとブレンド係数に基づいて2つの画像をブレンドするように設計されています。ノーマル、乗算、スクリーン、オーバーレイ、ソフトライト、差分など、さまざまなブレンドモードをサポートしており、多彩な画像操作と合成技法を可能にします。このノードは、2つの画像レイヤー間の視覚的な相互作用を調整して合成画像を作成するために不可欠です。 ## 入力 -| フィールド | データ型 | 説明 | -|-----------------|---------------|---------------------------------------------------------------------------------------| -| `画像1` | `IMAGE` | ブレンドする最初の画像です。ブレンド操作のベースレイヤーとして機能します。 | -| `画像2` | `IMAGE` | ブレンドする2番目の画像です。ブレンドモードに応じて、最初の画像の外観を変更します。 | -| `ブレンドファクター` | `FLOAT` | ブレンドにおける2番目の画像の重みを決定します。ブレンド係数が高いほど、結果のブレンドにおいて2番目の画像がより強調されます。 | -| `ブレンドモード` | COMBO[STRING] | 2つの画像をブレンドする方法を指定します。ノーマル、乗算、スクリーン、オーバーレイ、ソフトライト、差分などのモードをサポートしており、それぞれ独自の視覚効果を生成します。 | +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像1` | ブレンドする最初の画像です。ブレンド操作のベースレイヤーとして機能します。 | `IMAGE` | +| `画像2` | ブレンドする2番目の画像です。ブレンドモードに応じて、最初の画像の外観を変更します。 | `IMAGE` | +| `ブレンドファクター` | ブレンドにおける2番目の画像の重みを決定します。ブレンド係数が高いほど、結果のブレンドにおいて2番目の画像がより強調されます。 | `FLOAT` | +| `ブレンドモード` | 2つの画像をブレンドする方法を指定します。ノーマル、乗算、スクリーン、オーバーレイ、ソフトライト、差分などのモードをサポートしており、それぞれ独自の視覚効果を生成します。 | COMBO[STRING] | ## 出力 -| フィールド | データ型 | 説明 | -|-----------|-----------|---------------------------------------------------------------------------------| -| `image` | `IMAGE` | 指定されたブレンドモードと係数に従って、2つの入力画像をブレンドした結果の画像です。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `image` | 指定されたブレンドモードと係数に従って、2つの入力画像をブレンドした結果の画像です。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBlend/ja.md) diff --git a/ja/built-in-nodes/ImageBlur.mdx b/ja/built-in-nodes/ImageBlur.mdx index 2ab60890e..6095069bd 100644 --- a/ja/built-in-nodes/ImageBlur.mdx +++ b/ja/built-in-nodes/ImageBlur.mdx @@ -5,20 +5,20 @@ sidebarTitle: "ImageBlur" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBlur/ja.md) - `ImageBlur`ノードは、画像にガウシアンブラーを適用し、エッジを滑らかにしてディテールやノイズを低減します。パラメータを通じてブラーの強度と広がりを制御できます。 ## 入力 -| フィールド | データ型 | 説明 | -|----------------|-------------|-------------------------------------------------------------------------------| -| `画像` | `IMAGE` | ブラーを適用する入力画像です。ブラー効果の主要な対象となります。 | -| `ブラーレイディウス` | `INT` | ブラー効果の半径を決定します。値が大きいほど、より顕著なブラーが適用されます。 | -| `シグマ` | `FLOAT` | ブラーの広がりを制御します。シグマ値が高いほど、各ピクセルの周囲の広い範囲にブラーが影響します。 | +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | ブラーを適用する入力画像です。ブラー効果の主要な対象となります。 | `IMAGE` | +| `ブラーレイディウス` | ブラー効果の半径を決定します。値が大きいほど、より顕著なブラーが適用されます。 | `INT` | +| `シグマ` | ブラーの広がりを制御します。シグマ値が高いほど、各ピクセルの周囲の広い範囲にブラーが影響します。 | `FLOAT` | ## 出力 -| フィールド | データ型 | 説明 | -|-------|-------------|--------------------------------------------------------------------------| -| `画像` | `IMAGE` | 入力画像にブラーを適用した結果です。ブラーの度合いは入力パラメータによって決定されます。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 入力画像にブラーを適用した結果です。ブラーの度合いは入力パラメータによって決定されます。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBlur/ja.md) diff --git a/ja/built-in-nodes/ImageColorToMask.mdx b/ja/built-in-nodes/ImageColorToMask.mdx index 81356a449..60d9f5c3d 100644 --- a/ja/built-in-nodes/ImageColorToMask.mdx +++ b/ja/built-in-nodes/ImageColorToMask.mdx @@ -5,19 +5,19 @@ sidebarTitle: "ImageColorToMask" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageColorToMask/ja.md) - `ImageColorToMask` ノードは、画像内の指定された色をマスクに変換するために設計されています。このノードは画像と対象の色を処理し、指定された色が強調表示されたマスクを生成することで、色ベースのセグメンテーションやオブジェクトの分離といった操作を容易にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `画像` | `IMAGE` | `画像` パラメータは、処理対象の入力画像を表します。指定された色に一致する画像領域を特定し、マスクに変換するために不可欠です。 | -| `色` | `INT` | `色` パラメータは、画像内でマスクに変換する対象の色を指定します。結果のマスクで強調表示する特定の色領域を識別する上で重要な役割を果たします。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | `画像` パラメータは、処理対象の入力画像を表します。指定された色に一致する画像領域を特定し、マスクに変換するために不可欠です。 | `IMAGE` | +| `色` | `色` パラメータは、画像内でマスクに変換する対象の色を指定します。結果のマスクで強調表示する特定の色領域を識別する上で重要な役割を果たします。 | `INT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `mask` | `MASK` | 出力は、入力画像内で指定された色に一致する領域を強調表示したマスクです。このマスクは、セグメンテーションやオブジェクトの分離など、さらなる画像処理タスクに使用できます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `mask` | 出力は、入力画像内で指定された色に一致する領域を強調表示したマスクです。このマスクは、セグメンテーションやオブジェクトの分離など、さらなる画像処理タスクに使用できます。 | `MASK` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageColorToMask/ja.md) diff --git a/ja/built-in-nodes/ImageCompare.mdx b/ja/built-in-nodes/ImageCompare.mdx index 6460a6984..88cf43a39 100644 --- a/ja/built-in-nodes/ImageCompare.mdx +++ b/ja/built-in-nodes/ImageCompare.mdx @@ -5,19 +5,17 @@ sidebarTitle: "ImageCompare" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompare/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompare/en.md) Image Compareノードは、ドラッグ可能なスライダーを使用して2つの画像を並べて比較するためのビジュアルインターフェースを提供します。これは出力ノードとして設計されており、他のノードにデータを渡すのではなく、ユーザーインターフェースに直接画像を表示して検査できるようにします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image_a` | IMAGE | いいえ | - | 比較する1つ目の画像です。 | -| `image_b` | IMAGE | いいえ | - | 比較する2つ目の画像です。 | -| `compare_view` | IMAGECOMPARE | はい | - | UIでスライダー比較ビューを有効にするコントロールです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image_a` | 比較する1つ目の画像です。 | IMAGE | いいえ | - | +| `image_b` | 比較する2つ目の画像です。 | IMAGE | いいえ | - | +| `compare_view` | UIでスライダー比較ビューを有効にするコントロールです。 | IMAGECOMPARE | はい | - | **注記：** このノードは出力ノードです。`image_a`と`image_b`はオプションですが、ノードが視覚的な効果を発揮するには少なくとも1つの画像を提供する必要があります。接続されていない画像入力については、ノードは空の領域を表示します。 @@ -25,5 +23,7 @@ Image Compareノードは、ドラッグ可能なスライダーを使用して2 このノードは出力ノードであり、他のノードで使用するためのデータ出力は生成しません。その機能は、提供された画像をComfyUIインターフェースに表示することです。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompare/ja.md) + --- **Source fingerprint (SHA-256):** `2bc980cd20aad3cf60300868599bbce8eaba1cdb21880d2b3f4cd628108d8139` diff --git a/ja/built-in-nodes/ImageCompositeMasked.mdx b/ja/built-in-nodes/ImageCompositeMasked.mdx index 1d6abced3..6ca44b51d 100644 --- a/ja/built-in-nodes/ImageCompositeMasked.mdx +++ b/ja/built-in-nodes/ImageCompositeMasked.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ImageCompositeMasked" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompositeMasked/ja.md) - `ImageCompositeMasked` ノードは、画像を合成するためのもので、ソース画像を指定された座標でデスティネーション画像に重ね合わせることができます。オプションでリサイズやマスク処理も可能です。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `宛先` | `IMAGE` | ソース画像が合成されるデスティネーション画像です。合成処理の背景として機能します。 | -| `ソース` | `IMAGE` | デスティネーション画像に合成されるソース画像です。この画像は、必要に応じてデスティネーション画像の寸法に合わせてリサイズできます。 | -| `x` | `INT` | デスティネーション画像内で、ソース画像の左上隅が配置されるX座標です。 | -| `y` | `INT` | デスティネーション画像内で、ソース画像の左上隅が配置されるY座標です。 | -| `ソースのリサイズ` | `BOOLEAN` | ソース画像をデスティネーション画像の寸法に合わせてリサイズするかどうかを示すブール値フラグです。 | -| `マスク` | `MASK` | ソース画像のどの部分をデスティネーション画像に合成するかを指定する、オプションのマスクです。これにより、ブレンドや部分的なオーバーレイなど、より複雑な合成処理が可能になります。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `宛先` | ソース画像が合成されるデスティネーション画像です。合成処理の背景として機能します。 | `IMAGE` | +| `ソース` | デスティネーション画像に合成されるソース画像です。この画像は、必要に応じてデスティネーション画像の寸法に合わせてリサイズできます。 | `IMAGE` | +| `x` | デスティネーション画像内で、ソース画像の左上隅が配置されるX座標です。 | `INT` | +| `y` | デスティネーション画像内で、ソース画像の左上隅が配置されるY座標です。 | `INT` | +| `ソースのリサイズ` | ソース画像をデスティネーション画像の寸法に合わせてリサイズするかどうかを示すブール値フラグです。 | `BOOLEAN` | +| `マスク` | ソース画像のどの部分をデスティネーション画像に合成するかを指定する、オプションのマスクです。これにより、ブレンドや部分的なオーバーレイなど、より複雑な合成処理が可能になります。 | `MASK` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `image` | `IMAGE` | 合成処理後の結果画像です。両方の画像の要素が組み合わされています。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `image` | 合成処理後の結果画像です。両方の画像の要素が組み合わされています。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompositeMasked/ja.md) diff --git a/ja/built-in-nodes/ImageCrop.mdx b/ja/built-in-nodes/ImageCrop.mdx index c6882d3c6..dd992896c 100644 --- a/ja/built-in-nodes/ImageCrop.mdx +++ b/ja/built-in-nodes/ImageCrop.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ImageCrop" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCrop/ja.md) - `ImageCrop` ノードは、指定された x 座標と y 座標を起点として、画像を指定された幅と高さに切り抜く（クロップする）ために設計されています。この機能は、画像の特定の領域に焦点を当てたり、画像サイズを特定の要件に合わせて調整したりするために不可欠です。 ## 入力 -| フィールド | データ型 | 説明 | -|-------|-------------|-----------------------------------------------------------------------------------------------| -| `画像` | `IMAGE` | 切り抜き対象の入力画像です。このパラメータは、指定された寸法と座標に基づいて領域が抽出される元の画像を定義するため、非常に重要です。 | -| `幅` | `INT` | 切り抜き後の画像の幅を指定します。このパラメータは、結果として得られる切り抜き画像の幅を決定します。 | -| `高さ` | `INT` | 切り抜き後の画像の高さを指定します。このパラメータは、結果として得られる切り抜き画像の高さを決定します。 | -| `x` | `INT` | 切り抜き領域の左上隅の x 座標です。このパラメータは、切り抜きの幅方向の開始点を設定します。 | -| `y` | `INT` | 切り抜き領域の左上隅の y 座標です。このパラメータは、切り抜きの高さ方向の開始点を設定します。 | +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 切り抜き対象の入力画像です。このパラメータは、指定された寸法と座標に基づいて領域が抽出される元の画像を定義するため、非常に重要です。 | `IMAGE` | +| `幅` | 切り抜き後の画像の幅を指定します。このパラメータは、結果として得られる切り抜き画像の幅を決定します。 | `INT` | +| `高さ` | 切り抜き後の画像の高さを指定します。このパラメータは、結果として得られる切り抜き画像の高さを決定します。 | `INT` | +| `x` | 切り抜き領域の左上隅の x 座標です。このパラメータは、切り抜きの幅方向の開始点を設定します。 | `INT` | +| `y` | 切り抜き領域の左上隅の y 座標です。このパラメータは、切り抜きの高さ方向の開始点を設定します。 | `INT` | ## 出力 -| フィールド | データ型 | 説明 | -|-------|-------------|-------------------------------------------------------------------------------| -| `画像` | `IMAGE` | 切り抜き操作の結果として得られる画像です。この出力は、指定された画像領域のさらなる処理や分析において重要です。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 切り抜き操作の結果として得られる画像です。この出力は、指定された画像領域のさらなる処理や分析において重要です。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCrop/ja.md) diff --git a/ja/built-in-nodes/ImageCropV2.mdx b/ja/built-in-nodes/ImageCropV2.mdx index 7a9eb4293..38e812429 100644 --- a/ja/built-in-nodes/ImageCropV2.mdx +++ b/ja/built-in-nodes/ImageCropV2.mdx @@ -5,26 +5,26 @@ sidebarTitle: "ImageCropV2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/ja.md) - このドキュメントは AI が生成しました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/en.md) 画像クロップノードは、入力画像から長方形の領域を抽出します。保持する領域を、その左上隅の座標と幅および高さを指定して定義します。ノードは、元の画像のクロップされた部分を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | なし | クロップする入力画像です。 | -| `crop_region` | BOUNDINGBOX | はい | なし | 画像から抽出する長方形の領域を定義します。`x`（水平方向の開始位置）、`y`（垂直方向の開始位置）、`width`（幅）、`height`（高さ）で指定します。定義された領域が画像の境界を超える場合は、画像の寸法内に収まるように自動的に調整されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | クロップする入力画像です。 | IMAGE | はい | なし | +| `crop_region` | 画像から抽出する長方形の領域を定義します。`x`（水平方向の開始位置）、`y`（垂直方向の開始位置）、`width`（幅）、`height`（高さ）で指定します。定義された領域が画像の境界を超える場合は、画像の寸法内に収まるように自動的に調整されます。 | BOUNDINGBOX | はい | なし | **領域制約に関する注意：** クロップ領域は、入力画像の境界内に収まるように自動的に制約されます。指定された `x` または `y` 座標が画像の幅または高さよりも大きい場合、有効な最大位置に設定されます。結果として得られるクロップの幅と高さは、領域が画像の端を超えないように調整されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | 元の入力画像のクロップされた部分です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 元の入力画像のクロップされた部分です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/ja.md) --- **Source fingerprint (SHA-256):** `9d3543aa8396ae2ab0353accc3c89ae6be6495f6fdcefbb5439fa865a5d3059f` diff --git a/ja/built-in-nodes/ImageDeduplication.mdx b/ja/built-in-nodes/ImageDeduplication.mdx index e2ababd98..68f0f2774 100644 --- a/ja/built-in-nodes/ImageDeduplication.mdx +++ b/ja/built-in-nodes/ImageDeduplication.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ImageDeduplication" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageDeduplication/ja.md) - このノードは、バッチ内の重複または非常に類似した画像を削除します。各画像の視覚的な内容に基づいた単純な数値フィンガープリントである知覚ハッシュを作成し、それらを比較することで機能します。設定された閾値よりもハッシュが類似している画像は重複とみなされ、フィルタリングで除外されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 重複除去処理を行う画像のバッチです。 | -| `類似度しきい値` | FLOAT | いいえ | 0.0 - 1.0 | 類似度の閾値（0～1）です。値が大きいほど類似度が高いことを示します。この閾値を超える画像は重複とみなされます。（デフォルト：0.95） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 重複除去処理を行う画像のバッチです。 | IMAGE | はい | - | +| `類似度しきい値` | 類似度の閾値（0～1）です。値が大きいほど類似度が高いことを示します。この閾値を超える画像は重複とみなされます。（デフォルト：0.95） | FLOAT | いいえ | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 重複が除去されたフィルタリング済み画像のリストです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 重複が除去されたフィルタリング済み画像のリストです。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageDeduplication/ja.md) --- **Source fingerprint (SHA-256):** `8904f9dee4ca911821e76d2317983cbc230c4821a9ee7876180bd7dbe42b9a54` diff --git a/ja/built-in-nodes/ImageFlip.mdx b/ja/built-in-nodes/ImageFlip.mdx index c590a319c..e8d6235d5 100644 --- a/ja/built-in-nodes/ImageFlip.mdx +++ b/ja/built-in-nodes/ImageFlip.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ImageFlip" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFlip/ja.md) - ImageFlipノードは、画像を異なる軸に沿って反転させます。x軸に沿った垂直方向の反転、またはy軸に沿った水平方向の反転が可能です。このノードは、選択された方法に基づいて反転処理を行うために、torch.flip操作を使用します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 反転する入力画像 | -| `反転方法` | STRING | はい | "x-axis: vertically"
"y-axis: horizontally" | 適用する反転方向（デフォルト："x-axis: vertically"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 反転する入力画像 | IMAGE | はい | - | +| `反転方法` | 適用する反転方向（デフォルト："x-axis: vertically"） | STRING | はい | "x-axis: vertically"
"y-axis: horizontally" | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 反転された出力画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 反転された出力画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFlip/ja.md) --- **Source fingerprint (SHA-256):** `5cb9949c53653192b1a696179351976c3a87e2e7afc4634624b4d827ad75b527` diff --git a/ja/built-in-nodes/ImageFromBatch.mdx b/ja/built-in-nodes/ImageFromBatch.mdx index caefba641..34bc2583a 100644 --- a/ja/built-in-nodes/ImageFromBatch.mdx +++ b/ja/built-in-nodes/ImageFromBatch.mdx @@ -5,20 +5,20 @@ sidebarTitle: "ImageFromBatch" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFromBatch/ja.md) - `ImageFromBatch` ノードは、指定されたインデックスと長さに基づいて、バッチから特定の画像セグメントを抽出するために設計されています。これにより、バッチ処理された画像をより細かく制御し、大きなバッチ内の個別またはサブセットの画像に対して操作を実行できます。 ## 入力 -| フィールド | データ型 | 説明 | -|----------------|-------------|---------------------------------------------------------------------------------------| -| `画像` | `IMAGE` | セグメントが抽出される画像のバッチです。このパラメータは、ソースバッチを指定するために重要です。 | -| `バッチインデックス` | `INT` | バッチ内で抽出を開始する開始インデックスです。バッチから抽出するセグメントの初期位置を決定します。 | -| `長さ` | `INT` | `バッチインデックス` から開始してバッチから抽出する画像の数です。このパラメータは、抽出するセグメントのサイズを定義します。 | +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | セグメントが抽出される画像のバッチです。このパラメータは、ソースバッチを指定するために重要です。 | `IMAGE` | +| `バッチインデックス` | バッチ内で抽出を開始する開始インデックスです。バッチから抽出するセグメントの初期位置を決定します。 | `INT` | +| `長さ` | `バッチインデックス` から開始してバッチから抽出する画像の数です。このパラメータは、抽出するセグメントのサイズを定義します。 | `INT` | ## 出力 -| フィールド | データ型 | 説明 | -|-------|-------------|-----------------------------------------------------------------------------------------------| -| `画像` | `IMAGE` | 指定されたバッチから抽出された画像のセグメントです。この出力は、`バッチインデックス` と `長さ` パラメータによって決定された元のバッチのサブセットを表します。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 指定されたバッチから抽出された画像のセグメントです。この出力は、`バッチインデックス` と `長さ` パラメータによって決定された元のバッチのサブセットを表します。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFromBatch/ja.md) diff --git a/ja/built-in-nodes/ImageGrid.mdx b/ja/built-in-nodes/ImageGrid.mdx index 838922820..96755bcac 100644 --- a/ja/built-in-nodes/ImageGrid.mdx +++ b/ja/built-in-nodes/ImageGrid.mdx @@ -5,27 +5,27 @@ sidebarTitle: "ImageGrid" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageGrid/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageGrid/en.md) 画像グリッドノードは、複数の画像を1つの整理されたグリッドまたはコラージュに結合します。画像のリストを受け取り、指定された列数に配置し、各画像を定義されたセルサイズに合わせてリサイズし、必要に応じて画像間にパディングを追加します。結果として、すべての入力画像がグリッドレイアウトで配置された1つの新しい画像が生成されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | グリッドに配置する画像のリスト。このノードが機能するには、少なくとも1つの画像が必要です。 | -| `列数` | INT | いいえ | 1 - 20 | グリッドの列数（デフォルト：4）。 | -| `セル幅` | INT | いいえ | 32 - 2048 | グリッド内の各セルの幅（ピクセル単位、デフォルト：256）。 | -| `セル高さ` | INT | いいえ | 32 - 2048 | グリッド内の各セルの高さ（ピクセル単位、デフォルト：256）。 | -| `余白` | INT | いいえ | 0 - 50 | グリッド内の画像間に配置するパディングの量（ピクセル単位、デフォルト：4）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | グリッドに配置する画像のリスト。このノードが機能するには、少なくとも1つの画像が必要です。 | IMAGE | はい | - | +| `列数` | グリッドの列数（デフォルト：4）。 | INT | いいえ | 1 - 20 | +| `セル幅` | グリッド内の各セルの幅（ピクセル単位、デフォルト：256）。 | INT | いいえ | 32 - 2048 | +| `セル高さ` | グリッド内の各セルの高さ（ピクセル単位、デフォルト：256）。 | INT | いいえ | 32 - 2048 | +| `余白` | グリッド内の画像間に配置するパディングの量（ピクセル単位、デフォルト：4）。 | INT | いいえ | 0 - 50 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | すべての入力画像がグリッド状に配置された、単一の出力画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | すべての入力画像がグリッド状に配置された、単一の出力画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageGrid/ja.md) --- **Source fingerprint (SHA-256):** `79d0942c79d3966d06fe804f839c1d677764cef90265bd621bf915fe6de0ad46` diff --git a/ja/built-in-nodes/ImageHistogram.mdx b/ja/built-in-nodes/ImageHistogram.mdx index 21a812e5e..be4bfb9ab 100644 --- a/ja/built-in-nodes/ImageHistogram.mdx +++ b/ja/built-in-nodes/ImageHistogram.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ImageHistogram" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageHistogram/ja.md) - ImageHistogram ノードは、入力画像の色分布を分析します。各ピクセルの強度値ごとに、画像内にいくつのピクセルが存在するかを示すグラフ（ヒストグラム）を計算し、複数のヒストグラムを出力します。赤、緑、青の各色チャンネルごとのヒストグラム、RGB合成ヒストグラム、および標準的な輝度計算式に基づく輝度ヒストグラムを生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | なし | 分析する入力画像です。このノードはバッチ内の最初の画像を処理します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 分析する入力画像です。このノードはバッチ内の最初の画像を処理します。 | IMAGE | はい | なし | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `輝度` | HISTOGRAM | 赤、緑、青の各チャンネルにおける平均ピクセル強度を表す合成ヒストグラムです。 | -| `赤` | HISTOGRAM | ITU-R BT.709標準輝度計算式を用いて計算された、画像の知覚的な明るさのヒストグラムです。 | -| `緑` | HISTOGRAM | 赤色チャンネルにおけるピクセル強度の分布を示すヒストグラムです。 | -| `青` | HISTOGRAM | 緑色チャンネルにおけるピクセル強度の分布を示すヒストグラムです。 | -| `blue` | HISTOGRAM | 青色チャンネルにおけるピクセル強度の分布を示すヒストグラムです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `輝度` | 赤、緑、青の各チャンネルにおける平均ピクセル強度を表す合成ヒストグラムです。 | HISTOGRAM | +| `赤` | ITU-R BT.709標準輝度計算式を用いて計算された、画像の知覚的な明るさのヒストグラムです。 | HISTOGRAM | +| `緑` | 赤色チャンネルにおけるピクセル強度の分布を示すヒストグラムです。 | HISTOGRAM | +| `青` | 緑色チャンネルにおけるピクセル強度の分布を示すヒストグラムです。 | HISTOGRAM | +| `blue` | 青色チャンネルにおけるピクセル強度の分布を示すヒストグラムです。 | HISTOGRAM | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageHistogram/ja.md) --- **Source fingerprint (SHA-256):** `9bfcdb2907ab1e5cb2a9a736671fb9286b0e6ce6439fab95187f691b969ea53d` diff --git a/ja/built-in-nodes/ImageInvert.mdx b/ja/built-in-nodes/ImageInvert.mdx index 86669b404..0771f9232 100644 --- a/ja/built-in-nodes/ImageInvert.mdx +++ b/ja/built-in-nodes/ImageInvert.mdx @@ -5,18 +5,18 @@ sidebarTitle: "ImageInvert" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageInvert/ja.md) - `ImageInvert`ノードは、画像の色を反転させるように設計されています。これにより、各ピクセルの色値がカラーホイール上の補色に変換されます。この操作は、ネガ画像の作成や、色反転を必要とする視覚効果に役立ちます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|----------|------| -| `画像` | `IMAGE` | `画像`パラメータは、反転処理の対象となる入力画像を指定します。このパラメータは、色を反転させる対象の画像を指定するために重要であり、ノードの実行と反転処理の視覚的な結果に影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | `画像`パラメータは、反転処理の対象となる入力画像を指定します。このパラメータは、色を反転させる対象の画像を指定するために重要であり、ノードの実行と反転処理の視覚的な結果に影響を与えます。 | `IMAGE` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|----------|------| -| `画像` | `IMAGE` | 出力は入力画像の反転バージョンであり、各ピクセルの色値が補色に変換されています。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 出力は入力画像の反転バージョンであり、各ピクセルの色値が補色に変換されています。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageInvert/ja.md) diff --git a/ja/built-in-nodes/ImageMergeTileList.mdx b/ja/built-in-nodes/ImageMergeTileList.mdx index 61c7bb7b5..33499744b 100644 --- a/ja/built-in-nodes/ImageMergeTileList.mdx +++ b/ja/built-in-nodes/ImageMergeTileList.mdx @@ -5,26 +5,26 @@ sidebarTitle: "ImageMergeTileList" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageMergeTileList/ja.md) - このノードは、画像タイルのリストを受け取り、それらを1つの大きな画像に結合します。以前にグリッド状の重なり合うタイルに分割された画像を、重み付きブレンディング技術を使用してシームレスな最終結果に再構築するように設計されています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image_list` | IMAGE | はい | N/A | 結合する画像タイルのリストです。リストの最初のタイルを使用して、処理全体のタイル寸法とデータ型が決定されます。 | -| `final_width` | INT | はい | 64 - 32768 | 最終的な結合画像の幅（ピクセル単位）です（デフォルト：1024）。 | -| `final_height` | INT | はい | 64 - 32768 | 最終的な結合画像の高さ（ピクセル単位）です（デフォルト：1024）。 | -| `overlap` | INT | はい | 0 - 4096 | 隣接するタイル間の重なり量（ピクセル単位）です。0より大きい値を設定すると、タイルの継ぎ目で滑らかなブレンディング効果が有効になります（デフォルト：128）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image_list` | 結合する画像タイルのリストです。リストの最初のタイルを使用して、処理全体のタイル寸法とデータ型が決定されます。 | IMAGE | はい | N/A | +| `final_width` | 最終的な結合画像の幅（ピクセル単位）です（デフォルト：1024）。 | INT | はい | 64 - 32768 | +| `final_height` | 最終的な結合画像の高さ（ピクセル単位）です（デフォルト：1024）。 | INT | はい | 64 - 32768 | +| `overlap` | 隣接するタイル間の重なり量（ピクセル単位）です。0より大きい値を設定すると、タイルの継ぎ目で滑らかなブレンディング効果が有効になります（デフォルト：128）。 | INT | はい | 0 - 4096 | **注記：** `image_list` は動的な入力リストです。ノードは、`final_width`、`final_height`、および最初のタイルの寸法によって定義されるグリッドを埋めるために必要な数まで、提供された順序でタイルを処理します。リストに必要な数より多くのタイルが含まれている場合、余分なタイルは無視されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | 入力タイルから再構築された、最終的な結合画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 入力タイルから再構築された、最終的な結合画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageMergeTileList/ja.md) --- **Source fingerprint (SHA-256):** `f8f770ca2e9806d2feb55bb1dfe2c26b09d7a3506caf664990d8536ec5660c92` diff --git a/ja/built-in-nodes/ImageOnlyCheckpointLoader.mdx b/ja/built-in-nodes/ImageOnlyCheckpointLoader.mdx index b74765c15..90ba21922 100644 --- a/ja/built-in-nodes/ImageOnlyCheckpointLoader.mdx +++ b/ja/built-in-nodes/ImageOnlyCheckpointLoader.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ImageOnlyCheckpointLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointLoader/ja.md) - このノードは、`ComfyUI/models/checkpoints` フォルダ内のモデルを検出し、さらに extra_model_paths.yaml ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み込ませる必要があります。 このノードは、動画生成ワークフロー内で画像ベースのモデル専用のチェックポイントを読み込むことに特化しています。指定されたチェックポイントから必要なコンポーネントを効率的に取得・設定し、モデルの画像関連の側面に焦点を当てます。 ## 入力 -| フィールド | データ型 | 説明 | -|----------------|----------|---------------------------------------------------------------------------| -| `ckpt_name` | COMBO[STRING] | 読み込むチェックポイントの名前を指定します。事前定義されたリストから正しいチェックポイントファイルを識別して取得するために重要です。 | +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `ckpt_name` | 読み込むチェックポイントの名前を指定します。事前定義されたリストから正しいチェックポイントファイルを識別して取得するために重要です。 | COMBO[STRING] | ## 出力 -| フィールド | データ型 | 説明 | -|---------------|----------|---------------------------------------------------------------------------------------| -| `model` | MODEL | チェックポイントから読み込まれたメインモデルを返します。動画生成コンテキスト内での画像処理用に設定されています。 | -| `clip_vision` | CLIP_VISION | チェックポイントからCLIPビジョンコンポーネントを提供します。画像理解と特徴抽出に特化しています。 | -| `vae` | VAE | 変分オートエンコーダ（VAE）コンポーネントを提供します。画像操作や生成タスクに不可欠です。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `model` | チェックポイントから読み込まれたメインモデルを返します。動画生成コンテキスト内での画像処理用に設定されています。 | MODEL | +| `clip_vision` | チェックポイントからCLIPビジョンコンポーネントを提供します。画像理解と特徴抽出に特化しています。 | CLIP_VISION | +| `vae` | 変分オートエンコーダ（VAE）コンポーネントを提供します。画像操作や生成タスクに不可欠です。 | VAE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointLoader/ja.md) diff --git a/ja/built-in-nodes/ImageOnlyCheckpointSave.mdx b/ja/built-in-nodes/ImageOnlyCheckpointSave.mdx index 362c91bc7..89efd1307 100644 --- a/ja/built-in-nodes/ImageOnlyCheckpointSave.mdx +++ b/ja/built-in-nodes/ImageOnlyCheckpointSave.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ImageOnlyCheckpointSave" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointSave/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,20 +12,22 @@ ImageOnlyCheckpointSaveノードは、モデル、CLIPビジョンエンコー ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `モデル` | MODEL | はい | - | チェックポイントに保存するモデル | -| `clip_vision` | CLIP_VISION | はい | - | チェックポイントに保存するCLIPビジョンエンコーダー | -| `vae` | VAE | はい | - | チェックポイントに保存するVAE（変分オートエンコーダー） | -| `ファイル名プレフィックス` | STRING | はい | - | 出力ファイル名のプレフィックス（デフォルト："checkpoints/ComfyUI"） | -| `prompt` | PROMPT | いいえ | - | ワークフロープロンプトデータ用の隠しパラメータ | -| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | 追加のPNGメタデータ用の隠しパラメータ | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | チェックポイントに保存するモデル | MODEL | はい | - | +| `clip_vision` | チェックポイントに保存するCLIPビジョンエンコーダー | CLIP_VISION | はい | - | +| `vae` | チェックポイントに保存するVAE（変分オートエンコーダー） | VAE | はい | - | +| `ファイル名プレフィックス` | 出力ファイル名のプレフィックス（デフォルト："checkpoints/ComfyUI"） | STRING | はい | - | +| `prompt` | ワークフロープロンプトデータ用の隠しパラメータ | PROMPT | いいえ | - | +| `extra_pnginfo` | 追加のPNGメタデータ用の隠しパラメータ | EXTRA_PNGINFO | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| - | - | このノードは出力を返しません | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| - | このノードは出力を返しません | - | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointSave/ja.md) --- **Source fingerprint (SHA-256):** `d2a26933f0e2fcccf3c57f50038fb40ef5b23d00ccdd2e1d215b3cb78203b9fd` diff --git a/ja/built-in-nodes/ImagePadForOutpaint.mdx b/ja/built-in-nodes/ImagePadForOutpaint.mdx index 62672208c..74dd02830 100644 --- a/ja/built-in-nodes/ImagePadForOutpaint.mdx +++ b/ja/built-in-nodes/ImagePadForOutpaint.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ImagePadForOutpaint" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImagePadForOutpaint/ja.md) - このノードは、画像の周囲にパディングを追加して、アウトペインティング処理用に画像を準備するために設計されています。画像の寸法を調整してアウトペインティングアルゴリズムとの互換性を確保し、元の境界を超えた拡張画像領域の生成を容易にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `画像` | `IMAGE` | 「image」入力は、アウトペインティング用に準備する主要な画像であり、パディング処理のベースとなります。 | -| `左` | `INT` | 画像の左側に追加するパディングの量を指定し、アウトペインティング用の拡張領域に影響を与えます。 | -| `上` | `INT` | 画像の上部に追加するパディングの量を決定し、アウトペインティング用の垂直方向の拡張に影響を与えます。 | -| `右` | `INT` | 画像の右側に追加するパディングの量を定義し、アウトペインティング用の水平方向の拡張に影響を与えます。 | -| `下` | `INT` | 画像の下部に追加するパディングの量を示し、アウトペインティング用の垂直方向の拡張に寄与します。 | -| `フェザリング` | `INT` | 元の画像と追加されたパディングの間の遷移の滑らかさを制御し、アウトペインティングの視覚的な統合を向上させます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 「image」入力は、アウトペインティング用に準備する主要な画像であり、パディング処理のベースとなります。 | `IMAGE` | +| `左` | 画像の左側に追加するパディングの量を指定し、アウトペインティング用の拡張領域に影響を与えます。 | `INT` | +| `上` | 画像の上部に追加するパディングの量を決定し、アウトペインティング用の垂直方向の拡張に影響を与えます。 | `INT` | +| `右` | 画像の右側に追加するパディングの量を定義し、アウトペインティング用の水平方向の拡張に影響を与えます。 | `INT` | +| `下` | 画像の下部に追加するパディングの量を示し、アウトペインティング用の垂直方向の拡張に寄与します。 | `INT` | +| `フェザリング` | 元の画像と追加されたパディングの間の遷移の滑らかさを制御し、アウトペインティングの視覚的な統合を向上させます。 | `INT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `画像` | `IMAGE` | 出力「image」は、パディングが適用された画像であり、アウトペインティング処理の準備が整っています。 | -| `mask` | `MASK` | 出力「mask」は、元の画像と追加されたパディングの領域を示し、アウトペインティングアルゴリズムをガイドするのに役立ちます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 出力「image」は、パディングが適用された画像であり、アウトペインティング処理の準備が整っています。 | `IMAGE` | +| `mask` | 出力「mask」は、元の画像と追加されたパディングの領域を示し、アウトペインティングアルゴリズムをガイドするのに役立ちます。 | `MASK` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImagePadForOutpaint/ja.md) diff --git a/ja/built-in-nodes/ImageQuantize.mdx b/ja/built-in-nodes/ImageQuantize.mdx index 3ede111d3..3269ea153 100644 --- a/ja/built-in-nodes/ImageQuantize.mdx +++ b/ja/built-in-nodes/ImageQuantize.mdx @@ -5,21 +5,21 @@ sidebarTitle: "ImageQuantize" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageQuantize/ja.md) - ## 概要 ImageQuantizeノードは、画像内の色数を指定された数に減らし、必要に応じてディザリング技術を適用して視覚的な品質を維持するために設計されています。この処理は、パレットベースの画像を作成したり、特定のアプリケーション向けに色の複雑さを軽減する際に役立ちます。 ## 入力 -| フィールド | データ型 | 説明 | -|---------|-------------|-----------------------------------------------------------------------------------| -| `画像` | `IMAGE` | 量子化される入力画像テンソルです。色削減が実行される主要なデータとして、ノードの実行に影響を与えます。 | -| `色` | `INT` | 画像を削減する色数を指定します。カラーパレットのサイズを決定することで、量子化プロセスに直接影響を与えます。 | -| `ディザリング` | COMBO[STRING] | 量子化中に適用されるディザリング技術を決定し、出力画像の視覚的な品質と外観に影響を与えます。 | +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 量子化される入力画像テンソルです。色削減が実行される主要なデータとして、ノードの実行に影響を与えます。 | `IMAGE` | +| `色` | 画像を削減する色数を指定します。カラーパレットのサイズを決定することで、量子化プロセスに直接影響を与えます。 | `INT` | +| `ディザリング` | 量子化中に適用されるディザリング技術を決定し、出力画像の視覚的な品質と外観に影響を与えます。 | COMBO[STRING] | ## 出力 -| フィールド | データ型 | 説明 | -|-------|-------------|-------------------------------------------------------------------------------| -| `画像` | `IMAGE` | 入力画像の量子化バージョンで、色の複雑さが軽減され、視覚的な品質を維持するためにオプションでディザリングが適用されています。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 入力画像の量子化バージョンで、色の複雑さが軽減され、視覚的な品質を維持するためにオプションでディザリングが適用されています。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageQuantize/ja.md) diff --git a/ja/built-in-nodes/ImageRGBToYUV.mdx b/ja/built-in-nodes/ImageRGBToYUV.mdx index d509f68c6..15c95bf5f 100644 --- a/ja/built-in-nodes/ImageRGBToYUV.mdx +++ b/ja/built-in-nodes/ImageRGBToYUV.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ImageRGBToYUV" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRGBToYUV/ja.md) - ImageRGBToYUV ノードは、RGB カラー画像を YUV 色空間に変換します。入力として RGB 画像を受け取り、それを Y（輝度）、U（青色投影）、V（赤色投影）の3つの個別のチャンネルに分離します。各出力チャンネルは、対応する YUV コンポーネントを表す個別のグレースケール画像として返されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | YUV 色空間に変換する入力 RGB 画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | YUV 色空間に変換する入力 RGB 画像 | IMAGE | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `U` | IMAGE | YUV 色空間の輝度（明るさ）コンポーネント | -| `V` | IMAGE | YUV 色空間の青色投影コンポーネント | -| `V` | IMAGE | YUV 色空間の赤色投影コンポーネント | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `U` | YUV 色空間の輝度（明るさ）コンポーネント | IMAGE | +| `V` | YUV 色空間の青色投影コンポーネント | IMAGE | +| `V` | YUV 色空間の赤色投影コンポーネント | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRGBToYUV/ja.md) --- **Source fingerprint (SHA-256):** `119cba119b62c7b46ffdd2c0feca932a9af1ec41c338fead23c21fdf76a6abb2` diff --git a/ja/built-in-nodes/ImageRotate.mdx b/ja/built-in-nodes/ImageRotate.mdx index eedb552fb..289e7e678 100644 --- a/ja/built-in-nodes/ImageRotate.mdx +++ b/ja/built-in-nodes/ImageRotate.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ImageRotate" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRotate/ja.md) - 以下が翻訳結果です。 ImageRotate ノードは、入力画像を指定された角度に回転させます。回転オプションは4つあり、回転なし、時計回りに90度、180度、時計回りに270度に対応しています。回転処理は効率的なテンソル演算によって実行され、画像データの整合性が維持されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|-------------| -| `画像` | IMAGE | はい | - | 回転させる入力画像 | -| `回転` | STRING | はい | "none"
"90 degrees"
"180 degrees"
"270 degrees" | 画像に適用する回転角度（デフォルト："none"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 回転させる入力画像 | IMAGE | はい | - | +| `回転` | 画像に適用する回転角度（デフォルト："none"） | STRING | はい | "none"
"90 degrees"
"180 degrees"
"270 degrees" | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 回転後の出力画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 回転後の出力画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRotate/ja.md) --- **Source fingerprint (SHA-256):** `068946b31ebe87b2524a1e628b5bc0a3da7367d7252fa7afafe96bcbb174747d` diff --git a/ja/built-in-nodes/ImageScale.mdx b/ja/built-in-nodes/ImageScale.mdx index 8b45f022b..6441b2dd1 100644 --- a/ja/built-in-nodes/ImageScale.mdx +++ b/ja/built-in-nodes/ImageScale.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ImageScale" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScale/ja.md) - ImageScaleノードは、画像を特定の寸法にリサイズするために設計されており、アップスケール方法の選択肢とリサイズ後の画像をクロップする機能を提供します。このノードは画像のアップスケーリングとクロッピングの複雑さを抽象化し、ユーザーが定義したパラメータに従って画像の寸法を変更するための直感的なインターフェースを提供します。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `画像` | `IMAGE` | アップスケールする入力画像です。このパラメータはノードの動作の中心であり、リサイズ変換が適用される主要なデータとして機能します。出力画像の品質と寸法は、元の画像のプロパティに直接影響されます。 | -| `拡大方法` | COMBO[STRING] | 画像のアップスケールに使用する方法を指定します。方法の選択はアップスケールされた画像の品質と特性に影響を与え、リサイズ後の出力における視覚的な忠実度や潜在的なアーティファクトに影響を及ぼします。 | -| `幅` | `INT` | アップスケール後の画像の目標幅です。このパラメータは出力画像の寸法に直接影響し、リサイズ操作の水平方向のスケールを決定します。 | -| `高さ` | `INT` | アップスケール後の画像の目標高さです。このパラメータは出力画像の寸法に直接影響し、リサイズ操作の垂直方向のスケールを決定します。 | -| `クロップ` | COMBO[STRING] | アップスケールされた画像をクロップするかどうか、およびその方法を決定します。クロップを無効にするオプションと中央クロップのオプションを提供します。指定された寸法に合わせるために端を削除することで、画像の最終的な構図に影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | アップスケールする入力画像です。このパラメータはノードの動作の中心であり、リサイズ変換が適用される主要なデータとして機能します。出力画像の品質と寸法は、元の画像のプロパティに直接影響されます。 | `IMAGE` | +| `拡大方法` | 画像のアップスケールに使用する方法を指定します。方法の選択はアップスケールされた画像の品質と特性に影響を与え、リサイズ後の出力における視覚的な忠実度や潜在的なアーティファクトに影響を及ぼします。 | COMBO[STRING] | +| `幅` | アップスケール後の画像の目標幅です。このパラメータは出力画像の寸法に直接影響し、リサイズ操作の水平方向のスケールを決定します。 | `INT` | +| `高さ` | アップスケール後の画像の目標高さです。このパラメータは出力画像の寸法に直接影響し、リサイズ操作の垂直方向のスケールを決定します。 | `INT` | +| `クロップ` | アップスケールされた画像をクロップするかどうか、およびその方法を決定します。クロップを無効にするオプションと中央クロップのオプションを提供します。指定された寸法に合わせるために端を削除することで、画像の最終的な構図に影響を与えます。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `画像` | `IMAGE` | アップスケール（およびオプションでクロップ）された画像で、さらなる処理や可視化の準備が整っています。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | アップスケール（およびオプションでクロップ）された画像で、さらなる処理や可視化の準備が整っています。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScale/ja.md) diff --git a/ja/built-in-nodes/ImageScaleBy.mdx b/ja/built-in-nodes/ImageScaleBy.mdx index 726cac27e..62dc0fac1 100644 --- a/ja/built-in-nodes/ImageScaleBy.mdx +++ b/ja/built-in-nodes/ImageScaleBy.mdx @@ -5,20 +5,20 @@ sidebarTitle: "ImageScaleBy" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleBy/ja.md) - ImageScaleBy ノードは、指定された倍率で様々な補間方式を使用して画像をアップスケーリングするために設計されています。柔軟な方法で画像サイズを調整し、さまざまなアップスケーリングのニーズに対応します。 ## 入力 -| パラメータ | データ型 | 説明 | -|---|---|---| -| `画像` | `IMAGE` | アップスケーリングする入力画像です。このパラメータは、アップスケーリング処理の対象となるベース画像を提供するため、非常に重要です。 | -| `拡大方法` | COMBO[STRING] | アップスケーリングに使用する補間方式を指定します。方式の選択は、アップスケーリングされた画像の品質や特性に影響を与える可能性があります。 | -| `スケールバイ` | `FLOAT` | 画像をアップスケーリングする倍率です。入力画像に対する出力画像のサイズの増加率を決定します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | アップスケーリングする入力画像です。このパラメータは、アップスケーリング処理の対象となるベース画像を提供するため、非常に重要です。 | `IMAGE` | +| `拡大方法` | アップスケーリングに使用する補間方式を指定します。方式の選択は、アップスケーリングされた画像の品質や特性に影響を与える可能性があります。 | COMBO[STRING] | +| `スケールバイ` | 画像をアップスケーリングする倍率です。入力画像に対する出力画像のサイズの増加率を決定します。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|---|---|---| -| `画像` | `IMAGE` | 指定された倍率と補間方式に従って、入力画像よりも大きくなったアップスケーリング画像です。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 指定された倍率と補間方式に従って、入力画像よりも大きくなったアップスケーリング画像です。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleBy/ja.md) diff --git a/ja/built-in-nodes/ImageScaleToMaxDimension.mdx b/ja/built-in-nodes/ImageScaleToMaxDimension.mdx index 0d9a53464..2ab17ef82 100644 --- a/ja/built-in-nodes/ImageScaleToMaxDimension.mdx +++ b/ja/built-in-nodes/ImageScaleToMaxDimension.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ImageScaleToMaxDimension" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がございましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/en.md) ImageScaleToMaxDimensionノードは、画像を指定された最大寸法に収まるようにリサイズし、元のアスペクト比を維持します。画像が縦向きか横向きかを判定し、大きい方の寸法をターゲットサイズに合わせて拡大・縮小し、小さい方の寸法も比例して調整します。このノードは、品質とパフォーマンスの要件に応じて複数のアップスケーリング方法をサポートしています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | スケーリングする入力画像 | -| `アップスケール方法` | STRING | はい | "area"
"lanczos"
"bilinear"
"nearest-exact"
"bilinear"
"bicubic" | 画像のスケーリングに使用する補間方法（デフォルト："area"） | -| `最大サイズ` | INT | はい | 0～16384 | スケーリング後の画像の最大寸法（デフォルト：512） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | スケーリングする入力画像 | IMAGE | はい | - | +| `アップスケール方法` | 画像のスケーリングに使用する補間方法（デフォルト："area"） | STRING | はい | "area"
"lanczos"
"bilinear"
"nearest-exact"
"bilinear"
"bicubic" | +| `最大サイズ` | スケーリング後の画像の最大寸法（デフォルト：512） | INT | はい | 0～16384 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 最大寸法が指定されたサイズに一致するようにスケーリングされた画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 最大寸法が指定されたサイズに一致するようにスケーリングされた画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/ja.md) --- **Source fingerprint (SHA-256):** `be113c1a98ab9d884b2c728b790c41fb236857d59af567e43e2be0ef0362cc5e` diff --git a/ja/built-in-nodes/ImageScaleToTotalPixels.mdx b/ja/built-in-nodes/ImageScaleToTotalPixels.mdx index 7f4cb0f65..4ef91f89c 100644 --- a/ja/built-in-nodes/ImageScaleToTotalPixels.mdx +++ b/ja/built-in-nodes/ImageScaleToTotalPixels.mdx @@ -5,20 +5,20 @@ sidebarTitle: "ImageScaleToTotalPixels" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToTotalPixels/ja.md) - ImageScaleToTotalPixels ノードは、アスペクト比を維持しながら画像を指定された総ピクセル数にリサイズするために設計されています。目的のピクセル数を達成するために、画像をアップスケーリングするためのさまざまな方法を提供します。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------------|-------------|----------------------------------------------------------------------------| -| `画像` | `IMAGE` | 指定された総ピクセル数にアップスケーリングされる入力画像です。 | -| `拡大方法` | COMBO[STRING] | 画像のアップスケーリングに使用される方法です。アップスケーリングされた画像の品質と特性に影響を与えます。 | -| `メガピクセル` | `FLOAT` | 画像の目標サイズ（メガピクセル単位）です。アップスケーリング後の画像の総ピクセル数を決定します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 指定された総ピクセル数にアップスケーリングされる入力画像です。 | `IMAGE` | +| `拡大方法` | 画像のアップスケーリングに使用される方法です。アップスケーリングされた画像の品質と特性に影響を与えます。 | COMBO[STRING] | +| `メガピクセル` | 画像の目標サイズ（メガピクセル単位）です。アップスケーリング後の画像の総ピクセル数を決定します。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-----------------------------------------------------------------------| -| `画像` | `IMAGE` | 元のアスペクト比を維持したまま、指定された総ピクセル数にアップスケーリングされた画像です。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 元のアスペクト比を維持したまま、指定された総ピクセル数にアップスケーリングされた画像です。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToTotalPixels/ja.md) diff --git a/ja/built-in-nodes/ImageSharpen.mdx b/ja/built-in-nodes/ImageSharpen.mdx index 68958b02d..f306685ef 100644 --- a/ja/built-in-nodes/ImageSharpen.mdx +++ b/ja/built-in-nodes/ImageSharpen.mdx @@ -5,21 +5,21 @@ sidebarTitle: "ImageSharpen" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageSharpen/ja.md) - ImageSharpenノードは、画像のエッジやディテールを強調することで、画像の明瞭さを向上させます。画像にシャープネスフィルターを適用し、その強度と半径を調整することで、画像をより鮮明でくっきりとした印象にします。 ## 入力 -| フィールド | データ型 | 説明 | -|----------------|-------------|-----------------------------------------------------------------------------------------------| -| `画像` | `IMAGE` | シャープネスを適用する入力画像です。このパラメータは、シャープネス効果が適用されるベース画像を決定するため、非常に重要です。 | -| `シャープ化半径` | `INT` | シャープネス効果の半径を定義します。半径が大きいほど、エッジ周辺のより多くのピクセルが影響を受け、より顕著なシャープネス効果が得られます。 | -| `シグマ` | `FLOAT` | シャープネス効果の広がりを制御します。シグマ値が高いほどエッジの遷移が滑らかになり、低いほどシャープネスが局所的に適用されます。 | -| `アルファ` | `FLOAT` | シャープネス効果の強度を調整します。アルファ値が高いほど、より強いシャープネス効果が得られます。 | +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | シャープネスを適用する入力画像です。このパラメータは、シャープネス効果が適用されるベース画像を決定するため、非常に重要です。 | `IMAGE` | +| `シャープ化半径` | シャープネス効果の半径を定義します。半径が大きいほど、エッジ周辺のより多くのピクセルが影響を受け、より顕著なシャープネス効果が得られます。 | `INT` | +| `シグマ` | シャープネス効果の広がりを制御します。シグマ値が高いほどエッジの遷移が滑らかになり、低いほどシャープネスが局所的に適用されます。 | `FLOAT` | +| `アルファ` | シャープネス効果の強度を調整します。アルファ値が高いほど、より強いシャープネス効果が得られます。 | `FLOAT` | ## 出力 -| フィールド | データ型 | 説明 | -|-------|-------------|--------------------------------------------------------------------------| -| `画像` | `IMAGE` | エッジとディテールが強調されたシャープネス適用済み画像です。さらなる処理や表示に使用できます。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | エッジとディテールが強調されたシャープネス適用済み画像です。さらなる処理や表示に使用できます。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageSharpen/ja.md) diff --git a/ja/built-in-nodes/ImageStitch.mdx b/ja/built-in-nodes/ImageStitch.mdx index 29160e554..95bcf66c0 100644 --- a/ja/built-in-nodes/ImageStitch.mdx +++ b/ja/built-in-nodes/ImageStitch.mdx @@ -5,28 +5,26 @@ sidebarTitle: "ImageStitch" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageStitch/ja.md) - このノードは、指定された方向（上、下、左、右）に2つの画像を結合し、サイズの一致や画像間のスペース設定をサポートします。 ## 入力 -| パラメータ名 | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | -|------------|----------|------------|-----------|------|------| -| `画像1` | IMAGE | 必須 | - | - | 結合される最初の画像 | -| `画像2` | IMAGE | オプション | None | - | 結合される2番目の画像。指定しない場合は最初の画像のみを返します | -| `方向` | STRING | 必須 | right | right/down/left/up | 2番目の画像を結合する方向：右、下、左、または上 | -| `画像サイズを一致させる` | BOOLEAN | 必須 | True | True/False | 2番目の画像を最初の画像の寸法に合わせてリサイズするかどうか | -| `間隔の幅` | INT | 必須 | 0 | 0-1024 | 画像間のスペースの幅。偶数である必要があります | -| `間隔の色` | STRING | 必須 | white | white/black/red/green/blue | 結合された画像間のスペースの色 | +| パラメータ名 | 説明 | データ型 | 入力タイプ | デフォルト | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `画像1` | 結合される最初の画像 | IMAGE | 必須 | - | - | +| `画像2` | 結合される2番目の画像。指定しない場合は最初の画像のみを返します | IMAGE | オプション | None | - | +| `方向` | 2番目の画像を結合する方向：右、下、左、または上 | STRING | 必須 | right | right/down/left/up | +| `画像サイズを一致させる` | 2番目の画像を最初の画像の寸法に合わせてリサイズするかどうか | BOOLEAN | 必須 | True | True/False | +| `間隔の幅` | 画像間のスペースの幅。偶数である必要があります | INT | 必須 | 0 | 0-1024 | +| `間隔の色` | 結合された画像間のスペースの色 | STRING | 必須 | white | white/black/red/green/blue | > `spacing_color`について、"white/black"以外の色を使用する場合、`match_image_size`が`false`に設定されていると、パディング領域は黒で塗りつぶされます ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `IMAGE` | IMAGE | 結合された画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | 結合された画像 | IMAGE | ## ワークフロー例 @@ -58,4 +56,6 @@ mode: wide 出力画像2： -![出力2](/images/built-in-nodes/ImageStitch/output-2.webp) \ No newline at end of file +![出力2](/images/built-in-nodes/ImageStitch/output-2.webp) + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageStitch/ja.md) diff --git a/ja/built-in-nodes/ImageToMask.mdx b/ja/built-in-nodes/ImageToMask.mdx index 1ed9c6b23..4a57c0f95 100644 --- a/ja/built-in-nodes/ImageToMask.mdx +++ b/ja/built-in-nodes/ImageToMask.mdx @@ -5,19 +5,19 @@ sidebarTitle: "ImageToMask" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageToMask/ja.md) - ImageToMask ノードは、指定されたカラーチャンネルに基づいて画像をマスクに変換するために設計されています。画像の赤、緑、青、またはアルファチャンネルに対応するマスクレイヤーを抽出し、チャンネル固有のマスキングや処理を必要とする操作を容易にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|-------------|-------------|----------------------------------------------------------------------------------------------------------------------| -| `画像` | `IMAGE` | 「image」パラメータは、指定されたカラーチャンネルに基づいてマスクを生成する元となる入力画像を表します。生成されるマスクの内容と特性を決定する上で重要な役割を果たします。 | -| `チャンネル` | COMBO[STRING] | 「channel」パラメータは、マスクを生成するために入力画像のどのカラーチャンネル（赤、緑、青、またはアルファ）を使用するかを指定します。この選択は、マスクの外観や、画像のどの部分が強調表示またはマスクされるかに直接影響します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 「image」パラメータは、指定されたカラーチャンネルに基づいてマスクを生成する元となる入力画像を表します。生成されるマスクの内容と特性を決定する上で重要な役割を果たします。 | `IMAGE` | +| `チャンネル` | 「channel」パラメータは、マスクを生成するために入力画像のどのカラーチャンネル（赤、緑、青、またはアルファ）を使用するかを指定します。この選択は、マスクの外観や、画像のどの部分が強調表示またはマスクされるかに直接影響します。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `mask` | `MASK` | 出力「mask」は、入力画像の指定されたカラーチャンネルのバイナリまたはグレースケール表現であり、さらなる画像処理やマスキング操作に役立ちます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `mask` | 出力「mask」は、入力画像の指定されたカラーチャンネルのバイナリまたはグレースケール表現であり、さらなる画像処理やマスキング操作に役立ちます。 | `MASK` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageToMask/ja.md) diff --git a/ja/built-in-nodes/ImageUpscaleWithModel.mdx b/ja/built-in-nodes/ImageUpscaleWithModel.mdx index b724b839c..ef384b7fa 100644 --- a/ja/built-in-nodes/ImageUpscaleWithModel.mdx +++ b/ja/built-in-nodes/ImageUpscaleWithModel.mdx @@ -5,19 +5,19 @@ sidebarTitle: "ImageUpscaleWithModel" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageUpscaleWithModel/ja.md) - このノードは、指定されたアップスケールモデルを使用して画像をアップスケールするために設計されています。画像を適切なデバイスに調整し、メモリ使用量を最適化し、メモリ不足エラーを防ぐためにアップスケールモデルをタイル状に適用することで、アップスケール処理を効率的に管理します。 ## 入力 -| パラメータ | Comfy dtype | 説明 | -|---|---|---| -| `拡大モデル` | `UPSCALE_MODEL` | 画像のアップスケールに使用するアップスケールモデルです。アップスケールアルゴリズムとそのパラメータを定義するために重要です。 | -| `画像` | `IMAGE` | アップスケールする画像です。この入力は、アップスケール処理の対象となるソースコンテンツを決定するために不可欠です。 | +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `拡大モデル` | 画像のアップスケールに使用するアップスケールモデルです。アップスケールアルゴリズムとそのパラメータを定義するために重要です。 | `UPSCALE_MODEL` | +| `画像` | アップスケールする画像です。この入力は、アップスケール処理の対象となるソースコンテンツを決定するために不可欠です。 | `IMAGE` | ## 出力 -| パラメータ | データ型 | 説明 | -|---|---|---| -| `画像` | `IMAGE` | アップスケールモデルによって処理された、アップスケール後の画像です。この出力はアップスケール操作の結果であり、解像度や品質が向上した状態を示します。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | アップスケールモデルによって処理された、アップスケール後の画像です。この出力はアップスケール操作の結果であり、解像度や品質が向上した状態を示します。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageUpscaleWithModel/ja.md) diff --git a/ja/built-in-nodes/ImageYUVToRGB.mdx b/ja/built-in-nodes/ImageYUVToRGB.mdx index b9d2fd2c0..2202e57a0 100644 --- a/ja/built-in-nodes/ImageYUVToRGB.mdx +++ b/ja/built-in-nodes/ImageYUVToRGB.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ImageYUVToRGB" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageYUVToRGB/ja.md) - ImageYUVToRGB ノードは、YUV色空間の画像をRGB色空間に変換します。このノードは、Y（輝度）、U（青色投影）、V（赤色投影）の3つのチャンネルを表す個別の入力画像を受け取り、色空間変換を用いてこれらを1つのRGB画像に結合します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `Y` | IMAGE | はい | - | Y（輝度）チャンネルの入力画像 | -| `U` | IMAGE | はい | - | U（青色投影）チャンネルの入力画像 | -| `V` | IMAGE | はい | - | V（赤色投影）チャンネルの入力画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `Y` | Y（輝度）チャンネルの入力画像 | IMAGE | はい | - | +| `U` | U（青色投影）チャンネルの入力画像 | IMAGE | はい | - | +| `V` | V（赤色投影）チャンネルの入力画像 | IMAGE | はい | - | **注意：** 3つの入力画像（Y、U、V）はすべて一緒に提供する必要があり、適切な変換のためには互換性のある寸法である必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | 変換されたRGB画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 変換されたRGB画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageYUVToRGB/ja.md) --- **Source fingerprint (SHA-256):** `ee160be21fce75b3a3e41e25dc1cb0b20305383ff26f9698f07b93d42f98c64f` diff --git a/ja/built-in-nodes/InpaintModelConditioning.mdx b/ja/built-in-nodes/InpaintModelConditioning.mdx index 23e0e49c5..93ba6d512 100644 --- a/ja/built-in-nodes/InpaintModelConditioning.mdx +++ b/ja/built-in-nodes/InpaintModelConditioning.mdx @@ -5,24 +5,24 @@ sidebarTitle: "InpaintModelConditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InpaintModelConditioning/ja.md) - InpaintModelConditioning ノードは、インペイントモデルの条件付けプロセスを容易にするために設計されており、様々な条件付け入力を統合・操作してインペイント出力を調整することを可能にします。特定のモデルチェックポイントの読み込み、スタイルやコントロールネットモデルの適用から、条件付け要素のエンコードや結合に至るまで、幅広い機能を網羅しており、インペインタスクをカスタマイズするための包括的なツールとして機能します。 ## 入力 -| パラメータ | Comfy dtype | 説明 | -|-----------|-------------|------| -| `ポジティブ` | `CONDITIONING` | インペイントモデルに適用されるポジティブな条件付け情報またはパラメータを表します。この入力は、インペイント操作を実行する際のコンテキストや制約を定義するために重要であり、最終的な出力に大きな影響を与えます。 | -| `ネガティブ` | `CONDITIONING` | インペイントモデルに適用されるネガティブな条件付け情報またはパラメータを表します。この入力は、インペイントプロセス中に回避すべき条件やコンテキストを指定するために不可欠であり、最終的な出力に影響を与えます。 | -| `vae` | `VAE` | 条件付けプロセスで使用されるVAEモデルを指定します。この入力は、使用されるVAEモデルの特定のアーキテクチャとパラメータを決定するために重要です。 | -| `ピクセル` | `IMAGE` | インペイントされる画像のピクセルデータを表します。この入力は、インペインタスクに必要な視覚的コンテキストを提供するために不可欠です。 | -| `マスク` | `MASK` | 画像に適用されるマスクを指定し、インペイントする領域を示します。この入力は、画像内でインペイントが必要な特定の領域を定義するために重要です。 | +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `ポジティブ` | インペイントモデルに適用されるポジティブな条件付け情報またはパラメータを表します。この入力は、インペイント操作を実行する際のコンテキストや制約を定義するために重要であり、最終的な出力に大きな影響を与えます。 | `CONDITIONING` | +| `ネガティブ` | インペイントモデルに適用されるネガティブな条件付け情報またはパラメータを表します。この入力は、インペイントプロセス中に回避すべき条件やコンテキストを指定するために不可欠であり、最終的な出力に影響を与えます。 | `CONDITIONING` | +| `vae` | 条件付けプロセスで使用されるVAEモデルを指定します。この入力は、使用されるVAEモデルの特定のアーキテクチャとパラメータを決定するために重要です。 | `VAE` | +| `ピクセル` | インペイントされる画像のピクセルデータを表します。この入力は、インペインタスクに必要な視覚的コンテキストを提供するために不可欠です。 | `IMAGE` | +| `マスク` | 画像に適用されるマスクを指定し、インペイントする領域を示します。この入力は、画像内でインペイントが必要な特定の領域を定義するために重要です。 | `MASK` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|---------|------| -| `ネガティブ` | `CONDITIONING` | 処理後の変更されたポジティブな条件付け情報で、インペイントモデルに適用できる状態です。この出力は、指定されたポジティブな条件に従ってインペイントプロセスを導くために不可欠です。 | -| `潜在` | `CONDITIONING` | 処理後の変更されたネガティブな条件付け情報で、インペイントモデルに適用できる状態です。この出力は、指定されたネガティブな条件に従ってインペイントプロセスを導くために不可欠です。 | -| `latent` | `LATENT` | 条件付けプロセスから導出された潜在表現です。この出力は、インペイントされている画像の基礎となる特徴や特性を理解するために重要です。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 処理後の変更されたポジティブな条件付け情報で、インペイントモデルに適用できる状態です。この出力は、指定されたポジティブな条件に従ってインペイントプロセスを導くために不可欠です。 | `CONDITIONING` | +| `潜在` | 処理後の変更されたネガティブな条件付け情報で、インペイントモデルに適用できる状態です。この出力は、指定されたネガティブな条件に従ってインペイントプロセスを導くために不可欠です。 | `CONDITIONING` | +| `latent` | 条件付けプロセスから導出された潜在表現です。この出力は、インペイントされている画像の基礎となる特徴や特性を理解するために重要です。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InpaintModelConditioning/ja.md) diff --git a/ja/built-in-nodes/InstructPixToPixConditioning.mdx b/ja/built-in-nodes/InstructPixToPixConditioning.mdx index 480fa9866..1f2e533b5 100644 --- a/ja/built-in-nodes/InstructPixToPixConditioning.mdx +++ b/ja/built-in-nodes/InstructPixToPixConditioning.mdx @@ -5,8 +5,6 @@ sidebarTitle: "InstructPixToPixConditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InstructPixToPixConditioning/ja.md) - あなたは ComfyUI ノードドキュメントを英語から日本語に翻訳する技術翻訳の専門家です。 ## 翻訳ルール @@ -39,22 +37,24 @@ InstructPixToPixConditioning ノードは、ポジティブおよびネガティ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `ポジティブ` | CONDITIONING | はい | - | 希望する画像特性に関するテキストプロンプトと設定を含むポジティブ条件付けデータ | -| `ネガティブ` | CONDITIONING | はい | - | 望ましくない画像特性に関するテキストプロンプトと設定を含むネガティブ条件付けデータ | -| `vae` | VAE | はい | - | 入力画像を潜在表現にエンコードするために使用される VAE モデル | -| `ピクセル` | IMAGE | はい | - | 処理され潜在空間にエンコードされる入力画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 希望する画像特性に関するテキストプロンプトと設定を含むポジティブ条件付けデータ | CONDITIONING | はい | - | +| `ネガティブ` | 望ましくない画像特性に関するテキストプロンプトと設定を含むネガティブ条件付けデータ | CONDITIONING | はい | - | +| `vae` | 入力画像を潜在表現にエンコードするために使用される VAE モデル | VAE | はい | - | +| `ピクセル` | 処理され潜在空間にエンコードされる入力画像 | IMAGE | はい | - | **注記:** 入力画像の寸法は、VAE エンコード処理との互換性を確保するため、幅と高さの両方が最も近い 8 ピクセルの倍数に自動的に切り取られます。 ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `ネガティブ` | CONDITIONING | 潜在画像表現が付加されたポジティブ条件付けデータ | -| `潜在` | CONDITIONING | 潜在画像表現が付加されたネガティブ条件付けデータ | -| `latent` | LATENT | エンコードされた画像と同じ寸法を持つ空の潜在テンソル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 潜在画像表現が付加されたポジティブ条件付けデータ | CONDITIONING | +| `潜在` | 潜在画像表現が付加されたネガティブ条件付けデータ | CONDITIONING | +| `latent` | エンコードされた画像と同じ寸法を持つ空の潜在テンソル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InstructPixToPixConditioning/ja.md) --- **Source fingerprint (SHA-256):** `4b2383c9d64efdb558758359bf544fc5a1be65c12b23b54152e2df79a6dd8d79` diff --git a/ja/built-in-nodes/InvertBooleanNode.mdx b/ja/built-in-nodes/InvertBooleanNode.mdx index 43e692800..f278b5590 100644 --- a/ja/built-in-nodes/InvertBooleanNode.mdx +++ b/ja/built-in-nodes/InvertBooleanNode.mdx @@ -5,21 +5,21 @@ sidebarTitle: "InvertBooleanNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertBooleanNode/ja.md) - このノードは、単一のブール値（true/false）を入力として受け取り、その反対の値を出力します。論理否定（NOT）演算を実行し、`true` を `false` に、`false` を `true` に変換します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `boolean` | BOOLEAN | はい | `true`
`false` | 反転される入力ブール値です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `boolean` | 反転される入力ブール値です。 | BOOLEAN | はい | `true`
`false` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | BOOLEAN | 反転されたブール値です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 反転されたブール値です。 | BOOLEAN | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertBooleanNode/ja.md) --- **Source fingerprint (SHA-256):** `7c927252a80f42836af6ef16f76714e6892454733d698674b547bd65ddb9d607` diff --git a/ja/built-in-nodes/InvertMask.mdx b/ja/built-in-nodes/InvertMask.mdx index 227828dd1..c312467d2 100644 --- a/ja/built-in-nodes/InvertMask.mdx +++ b/ja/built-in-nodes/InvertMask.mdx @@ -5,18 +5,18 @@ sidebarTitle: "InvertMask" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertMask/ja.md) - InvertMaskノードは、指定されたマスクの値を反転させ、マスク領域と非マスク領域を効果的に入れ替えるように設計されています。この操作は、関心領域を前景と背景の間で切り替える必要がある画像処理タスクにおいて基本的な機能です。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|--------------|-------------| -| `マスク` | MASK | 「mask」パラメータは、反転する入力マスクを表します。反転処理において入れ替える領域を決定するために重要です。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `マスク` | 「mask」パラメータは、反転する入力マスクを表します。反転処理において入れ替える領域を決定するために重要です。 | MASK | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|--------------|-------------| -| `マスク` | MASK | 出力は入力マスクを反転したバージョンであり、以前マスクされていた領域が非マスク領域になり、その逆も同様になります。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `マスク` | 出力は入力マスクを反転したバージョンであり、以前マスクされていた領域が非マスク領域になり、その逆も同様になります。 | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertMask/ja.md) diff --git a/ja/built-in-nodes/JoinAudioChannels.mdx b/ja/built-in-nodes/JoinAudioChannels.mdx index c30bb10ed..29962cef1 100644 --- a/ja/built-in-nodes/JoinAudioChannels.mdx +++ b/ja/built-in-nodes/JoinAudioChannels.mdx @@ -5,8 +5,6 @@ sidebarTitle: "JoinAudioChannels" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinAudioChannels/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,18 +12,20 @@ Join Audio Channelsノードは、2つの独立したモノラル音声入力を ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `audio_left` | AUDIO | はい | | 結果のステレオ音声で左チャンネルとして使用されるモノラル音声データです。 | -| `audio_right` | AUDIO | はい | | 結果のステレオ音声で右チャンネルとして使用されるモノラル音声データです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `audio_left` | 結果のステレオ音声で左チャンネルとして使用されるモノラル音声データです。 | AUDIO | はい | | +| `audio_right` | 結果のステレオ音声で右チャンネルとして使用されるモノラル音声データです。 | AUDIO | はい | | **注記：** 両方の入力音声ストリームはモノラル（シングルチャンネル）である必要があります。サンプルレートが異なる場合、低い方のチャンネルが自動的に高い方のレートにリサンプリングされます。音声ストリームの長さが異なる場合は、短い方の長さにトリミングされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `audio` | AUDIO | 結合された左チャンネルと右チャンネルを含む、結果のステレオ音声です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `audio` | 結合された左チャンネルと右チャンネルを含む、結果のステレオ音声です。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinAudioChannels/ja.md) --- **Source fingerprint (SHA-256):** `6dced8c2288fb8f214e04b621ed3ab934231983d7987ff08aa43da6814331be0` diff --git a/ja/built-in-nodes/JoinImageWithAlpha.mdx b/ja/built-in-nodes/JoinImageWithAlpha.mdx index 9b6d323c7..aa04d6e1c 100644 --- a/ja/built-in-nodes/JoinImageWithAlpha.mdx +++ b/ja/built-in-nodes/JoinImageWithAlpha.mdx @@ -5,19 +5,19 @@ sidebarTitle: "JoinImageWithAlpha" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinImageWithAlpha/ja.md) - このノードはコンポジット処理用に設計されており、具体的には画像と対応するアルファマスクを結合して単一の出力画像を生成します。視覚コンテンツと透明度情報を効果的に組み合わせることで、特定の領域が透明または半透明になる画像を作成できます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `画像` | `IMAGE` | アルファマスクと結合される主要な視覚コンテンツです。透明度情報を持たない画像を表します。 | -| `アルファ` | `MASK` | 対応する画像の透明度を定義するアルファマスクです。画像のどの部分を透明または半透明にするかを決定するために使用されます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | アルファマスクと結合される主要な視覚コンテンツです。透明度情報を持たない画像を表します。 | `IMAGE` | +| `アルファ` | 対応する画像の透明度を定義するアルファマスクです。画像のどの部分を透明または半透明にするかを決定するために使用されます。 | `MASK` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `画像` | `IMAGE` | 入力画像とアルファマスクを結合し、透明度情報を視覚コンテンツに組み込んだ単一の画像が出力されます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 入力画像とアルファマスクを結合し、透明度情報を視覚コンテンツに組み込んだ単一の画像が出力されます。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinImageWithAlpha/ja.md) diff --git a/ja/built-in-nodes/JsonExtractString.mdx b/ja/built-in-nodes/JsonExtractString.mdx index e06943f67..e581e4d9e 100644 --- a/ja/built-in-nodes/JsonExtractString.mdx +++ b/ja/built-in-nodes/JsonExtractString.mdx @@ -5,24 +5,24 @@ sidebarTitle: "JsonExtractString" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JsonExtractString/ja.md) - JsonExtractString ノードは、JSON データを含むテキスト文字列を読み取り、特定のキーに関連付けられた値を抽出します。抽出された値を文字列に変換します。JSON が無効な場合、キーが見つからない場合、または値が null の場合、ノードは空の文字列を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `json_string` | STRING | はい | なし | 解析対象の JSON データを含むテキストです。 | -| `key` | STRING | はい | なし | JSON オブジェクトから文字列値を抽出したい特定のキーです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `json_string` | 解析対象の JSON データを含むテキストです。 | STRING | はい | なし | +| `key` | JSON オブジェクトから文字列値を抽出したい特定のキーです。 | STRING | はい | なし | **注記:** このノードは、JSON オブジェクト（辞書）からのみ値を抽出します。解析された JSON がオブジェクトでない場合、または指定されたキーがその中に存在しない場合、出力は空の文字列になります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | 指定されたキーに対して JSON から抽出された文字列値、または抽出に失敗した場合は空の文字列です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 指定されたキーに対して JSON から抽出された文字列値、または抽出に失敗した場合は空の文字列です。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JsonExtractString/ja.md) --- **Source fingerprint (SHA-256):** `f05e2d9fd4888870a844c85ac7543d6c38c1c56f2ef22a402fc93ee716743612` diff --git a/ja/built-in-nodes/KSampler.mdx b/ja/built-in-nodes/KSampler.mdx index 01b86cf8d..7b5f86a35 100644 --- a/ja/built-in-nodes/KSampler.mdx +++ b/ja/built-in-nodes/KSampler.mdx @@ -5,26 +5,24 @@ sidebarTitle: "KSampler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSampler/ja.md) - KSamplerは次のように動作します。特定のモデルとポジティブ・ネガティブ両方の条件に基づいて、提供された元の潜在画像情報を変更します。 まず、設定された **seed** と **denoise strength** に従って元の画像データにノイズを追加し、その後、事前設定された **Model** に **ポジティブ** および **ネガティブ** なガイダンス条件を組み合わせて画像を生成します。 ## 入力 -| パラメータ名 | データ型 | 必須 | デフォルト | 範囲/オプション | 説明 | -| :--- | :--- | :--- | :--- | :--- | :--- | -| Model | checkpoint | はい | なし | - | ノイズ除去プロセスに使用するモデルを入力します | -| seed | Int | はい | 0 | 0 ~ 18446744073709551615 | ランダムノイズの生成に使用されます。同じ「seed」を使用すると、同一の画像が生成されます | -| steps | Int | はい | 20 | 1 ~ 10000 | ノイズ除去プロセスで使用するステップ数です。ステップ数が多いほど、より正確な結果が得られます | -| cfg | float | はい | 8.0 | 0.0 ~ 100.0 | 生成画像が入力条件にどの程度一致するかを制御します。6〜8が推奨されます | -| sampler_name | UI オプション | はい | なし | 複数のアルゴリズム | ノイズ除去に使用するサンプラーを選択します。生成速度とスタイルに影響します | -| scheduler | UI オプション | はい | なし | 複数のスケジューラー | ノイズの除去方法を制御し、生成プロセスに影響します | -| Positive | conditioning | はい | なし | - | ノイズ除去をガイドするポジティブな条件です。画像に表示したい内容を指定します | -| Negative | conditioning | はい | なし | - | ノイズ除去をガイドするネガティブな条件です。画像に表示したくない内容を指定します | -| Latent_Image | Latent | はい | なし | - | ノイズ除去に使用される潜在画像です | -| denoise | float | いいえ | 1.0 | 0.0 ~ 1.0 | ノイズ除去率を決定します。値が低いほど、入力画像との関連性が低くなります | -| control_after_generate | UI オプション | いいえ | なし | Random/Inc/Dec/Keep | プロンプトごとにシードを変更する機能を提供します | +| パラメータ名 | 説明 | データ型 | 必須 | デフォルト | 範囲/オプション | +| --- | --- | --- | --- | --- | --- | +| Model | ノイズ除去プロセスに使用するモデルを入力します | checkpoint | はい | なし | - | +| seed | ランダムノイズの生成に使用されます。同じ「seed」を使用すると、同一の画像が生成されます | Int | はい | 0 | 0 ~ 18446744073709551615 | +| steps | ノイズ除去プロセスで使用するステップ数です。ステップ数が多いほど、より正確な結果が得られます | Int | はい | 20 | 1 ~ 10000 | +| cfg | 生成画像が入力条件にどの程度一致するかを制御します。6〜8が推奨されます | float | はい | 8.0 | 0.0 ~ 100.0 | +| sampler_name | ノイズ除去に使用するサンプラーを選択します。生成速度とスタイルに影響します | UI オプション | はい | なし | 複数のアルゴリズム | +| scheduler | ノイズの除去方法を制御し、生成プロセスに影響します | UI オプション | はい | なし | 複数のスケジューラー | +| Positive | ノイズ除去をガイドするポジティブな条件です。画像に表示したい内容を指定します | conditioning | はい | なし | - | +| Negative | ノイズ除去をガイドするネガティブな条件です。画像に表示したくない内容を指定します | conditioning | はい | なし | - | +| Latent_Image | ノイズ除去に使用される潜在画像です | Latent | はい | なし | - | +| denoise | ノイズ除去率を決定します。値が低いほど、入力画像との関連性が低くなります | float | いいえ | 1.0 | 0.0 ~ 1.0 | +| control_after_generate | プロンプトごとにシードを変更する機能を提供します | UI オプション | いいえ | なし | Random/Inc/Dec/Keep | ## 出力 @@ -88,4 +86,6 @@ class KSampler: def sample(self, model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0): return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) -``` \ No newline at end of file +``` + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSampler/ja.md) diff --git a/ja/built-in-nodes/KSamplerAdvanced.mdx b/ja/built-in-nodes/KSamplerAdvanced.mdx index 0f3e385a1..42a6233cd 100644 --- a/ja/built-in-nodes/KSamplerAdvanced.mdx +++ b/ja/built-in-nodes/KSamplerAdvanced.mdx @@ -5,32 +5,32 @@ sidebarTitle: "KSamplerAdvanced" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSamplerAdvanced/ja.md) - 以下が翻訳結果です。 KSamplerAdvanced ノードは、高度な設定と技術を提供することでサンプリングプロセスを強化するために設計されています。基本の KSampler 機能を改善し、モデルからサンプルを生成するためのより洗練されたオプションを提供することを目的としています。 ## 入力 -| パラメータ | データ型 | 説明 | -|------|-------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| `モデル` | MODEL | サンプルを生成するモデルを指定します。サンプリングプロセスにおいて重要な役割を果たします。 | -| `ノイズ追加` | COMBO[STRING] | サンプリングプロセスにノイズを追加するかどうかを決定し、生成されるサンプルの多様性と品質に影響を与えます。 | -| `ノイズシード` | INT | ノイズ生成のシードを設定し、サンプリングプロセスにおける再現性を確保します。 | -| `ステップ` | INT | サンプリングプロセスで実行するステップ数を定義し、出力の詳細度と品質に影響を与えます。 | -| `cfg` | FLOAT | 条件付け係数を制御し、サンプリングプロセスの方向性と空間に影響を与えます。 | -| `サンプラー名` | COMBO[STRING] | 使用する特定のサンプラーを選択し、サンプリング技術のカスタマイズを可能にします。 | -| `スケジューラ` | COMBO[STRING] | サンプリングプロセスを制御するスケジューラーを選択し、サンプルの進行と品質に影響を与えます。 | -| `ポジティブ` | CONDITIONING | サンプリングを望ましい属性に導くためのポジティブ条件付けを指定します。 | -| `ネガティブ` | CONDITIONING | サンプリングを特定の属性から遠ざけるためのネガティブ条件付けを指定します。 | -| `潜在画像` | LATENT | サンプリングプロセスで使用する初期潜在画像を提供し、開始点として機能します。 | -| `ステップ開始` | INT | サンプリングプロセスの開始ステップを決定し、サンプリングの進行を制御できるようにします。 | -| `ステップ終了` | INT | サンプリングプロセスの終了ステップを設定し、サンプリングの範囲を定義します。 | -| `残りのノイズと一緒に返す` | COMBO[STRING] | 残留ノイズを含めてサンプルを返すかどうかを示し、最終出力の外観に影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | サンプルを生成するモデルを指定します。サンプリングプロセスにおいて重要な役割を果たします。 | MODEL | +| `ノイズ追加` | サンプリングプロセスにノイズを追加するかどうかを決定し、生成されるサンプルの多様性と品質に影響を与えます。 | COMBO[STRING] | +| `ノイズシード` | ノイズ生成のシードを設定し、サンプリングプロセスにおける再現性を確保します。 | INT | +| `ステップ` | サンプリングプロセスで実行するステップ数を定義し、出力の詳細度と品質に影響を与えます。 | INT | +| `cfg` | 条件付け係数を制御し、サンプリングプロセスの方向性と空間に影響を与えます。 | FLOAT | +| `サンプラー名` | 使用する特定のサンプラーを選択し、サンプリング技術のカスタマイズを可能にします。 | COMBO[STRING] | +| `スケジューラ` | サンプリングプロセスを制御するスケジューラーを選択し、サンプルの進行と品質に影響を与えます。 | COMBO[STRING] | +| `ポジティブ` | サンプリングを望ましい属性に導くためのポジティブ条件付けを指定します。 | CONDITIONING | +| `ネガティブ` | サンプリングを特定の属性から遠ざけるためのネガティブ条件付けを指定します。 | CONDITIONING | +| `潜在画像` | サンプリングプロセスで使用する初期潜在画像を提供し、開始点として機能します。 | LATENT | +| `ステップ開始` | サンプリングプロセスの開始ステップを決定し、サンプリングの進行を制御できるようにします。 | INT | +| `ステップ終了` | サンプリングプロセスの終了ステップを設定し、サンプリングの範囲を定義します。 | INT | +| `残りのノイズと一緒に返す` | 残留ノイズを含めてサンプルを返すかどうかを示し、最終出力の外観に影響を与えます。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|------|-------------|------------------------------------------------------------------------------------------------------------------------------| -| `latent` | LATENT | 出力はモデルから生成された潜在画像を表し、適用された設定と技術を反映しています。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 出力はモデルから生成された潜在画像を表し、適用された設定と技術を反映しています。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSamplerAdvanced/ja.md) diff --git a/ja/built-in-nodes/KSamplerSelect.mdx b/ja/built-in-nodes/KSamplerSelect.mdx index 40d72e177..d4ff2a9a7 100644 --- a/ja/built-in-nodes/KSamplerSelect.mdx +++ b/ja/built-in-nodes/KSamplerSelect.mdx @@ -5,18 +5,18 @@ sidebarTitle: "KSamplerSelect" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSamplerSelect/ja.md) - KSamplerSelectノードは、指定されたサンプラー名に基づいて特定のサンプラーを選択するために設計されています。サンプラー選択の複雑さを抽象化し、ユーザーがタスクに応じて異なるサンプリング戦略を簡単に切り替えられるようにします。 ## 入力 -| パラメータ | データ型 | 説明 | -|---|---|---| -| `サンプラー名` | COMBO[STRING] | 選択するサンプラーの名前を指定します。このパラメータは、使用するサンプリング戦略を決定し、全体的なサンプリング動作と結果に影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `サンプラー名` | 選択するサンプラーの名前を指定します。このパラメータは、使用するサンプリング戦略を決定し、全体的なサンプリング動作と結果に影響を与えます。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|---|---|---| -| `sampler` | `SAMPLER` | 選択されたサンプラーオブジェクトを返します。サンプリングタスクで使用できる状態になっています。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | 選択されたサンプラーオブジェクトを返します。サンプリングタスクで使用できる状態になっています。 | `SAMPLER` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSamplerSelect/ja.md) diff --git a/ja/built-in-nodes/Kandinsky5ImageToVideo.mdx b/ja/built-in-nodes/Kandinsky5ImageToVideo.mdx index d33f547de..5ffc72dee 100644 --- a/ja/built-in-nodes/Kandinsky5ImageToVideo.mdx +++ b/ja/built-in-nodes/Kandinsky5ImageToVideo.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Kandinsky5ImageToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Kandinsky5ImageToVideo/ja.md) - 以下は、指定された英語ドキュメントを日本語に翻訳したものです。 --- @@ -15,27 +13,29 @@ Kandinsky5ImageToVideo ノードは、Kandinsky モデルを使用した動画 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | なし | 動画生成をガイドするポジティブ条件付けプロンプトです。 | -| `ネガティブ` | CONDITIONING | はい | なし | 特定の概念から動画生成を遠ざけるためのネガティブ条件付けプロンプトです。 | -| `vae` | VAE | はい | なし | オプションの開始画像を潜在空間にエンコードするために使用される VAE モデルです。 | -| `幅` | INT | いいえ | 16 ～ 8192（ステップ 16） | 出力動画の幅（ピクセル単位、デフォルト：768）。 | -| `高さ` | INT | いいえ | 16 ～ 8192（ステップ 16） | 出力動画の高さ（ピクセル単位、デフォルト：512）。 | -| `長さ` | INT | いいえ | 1 ～ 8192（ステップ 4） | 動画のフレーム数（デフォルト：121）。 | -| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | 同時に生成する動画シーケンスの数（デフォルト：1）。 | -| `開始画像` | IMAGE | いいえ | なし | オプションの開始画像です。指定された場合、エンコードされ、モデルの出力潜在ノイズの開始部分を置き換えるために使用されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 動画生成をガイドするポジティブ条件付けプロンプトです。 | CONDITIONING | はい | なし | +| `ネガティブ` | 特定の概念から動画生成を遠ざけるためのネガティブ条件付けプロンプトです。 | CONDITIONING | はい | なし | +| `vae` | オプションの開始画像を潜在空間にエンコードするために使用される VAE モデルです。 | VAE | はい | なし | +| `幅` | 出力動画の幅（ピクセル単位、デフォルト：768）。 | INT | いいえ | 16 ～ 8192（ステップ 16） | +| `高さ` | 出力動画の高さ（ピクセル単位、デフォルト：512）。 | INT | いいえ | 16 ～ 8192（ステップ 16） | +| `長さ` | 動画のフレーム数（デフォルト：121）。 | INT | いいえ | 1 ～ 8192（ステップ 4） | +| `バッチサイズ` | 同時に生成する動画シーケンスの数（デフォルト：1）。 | INT | いいえ | 1 ～ 4096 | +| `開始画像` | オプションの開始画像です。指定された場合、エンコードされ、モデルの出力潜在ノイズの開始部分を置き換えるために使用されます。 | IMAGE | いいえ | なし | **注記：** `start_image` が指定された場合、指定された `width` と `height` に合わせてバイリニア補間で自動的にリサイズされます。画像バッチの最初の `length` フレームがエンコードに使用されます。エンコードされた潜在表現は、`positive` 条件付けと `negative` 条件付けの両方に注入され、動画の初期外観をガイドします。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 変更されたポジティブ条件付けです。エンコードされた開始画像データで更新される可能性があります。 | -| `latent` | CONDITIONING | 変更されたネガティブ条件付けです。エンコードされた開始画像データで更新される可能性があります。 | -| `cond_latent` | LATENT | 指定された次元に合わせて形状が設定された、ゼロで満たされた空の動画潜在テンソルです。 | -| `cond_latent` | LATENT | 提供された開始画像の、クリーンでエンコードされた潜在表現です。これは内部で使用され、生成された動画潜在のノイズの多い開始部分を置き換えます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 変更されたポジティブ条件付けです。エンコードされた開始画像データで更新される可能性があります。 | CONDITIONING | +| `latent` | 変更されたネガティブ条件付けです。エンコードされた開始画像データで更新される可能性があります。 | CONDITIONING | +| `cond_latent` | 指定された次元に合わせて形状が設定された、ゼロで満たされた空の動画潜在テンソルです。 | LATENT | +| `cond_latent` | 提供された開始画像の、クリーンでエンコードされた潜在表現です。これは内部で使用され、生成された動画潜在のノイズの多い開始部分を置き換えます。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Kandinsky5ImageToVideo/ja.md) --- **Source fingerprint (SHA-256):** `19d3b60be18f5adcd659563329988bce2511a1b27b33fd0ab3a9d93e265557f2` diff --git a/ja/built-in-nodes/KarrasScheduler.mdx b/ja/built-in-nodes/KarrasScheduler.mdx index 19b6646db..0a0d2233e 100644 --- a/ja/built-in-nodes/KarrasScheduler.mdx +++ b/ja/built-in-nodes/KarrasScheduler.mdx @@ -5,21 +5,21 @@ sidebarTitle: "KarrasScheduler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KarrasScheduler/ja.md) - KarrasSchedulerノードは、Karras et al. (2022) のノイズスケジュールに基づいて、ノイズレベル（シグマ）のシーケンスを生成するために設計されています。このスケジューラーは、生成モデルにおける拡散プロセスを制御するのに役立ち、生成プロセスの各ステップで適用されるノイズレベルを微調整することができます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-------------|-------------|------------------------------------------------------------------------------------------------| -| `ステップ` | INT | ノイズスケジュールのステップ数を指定し、生成されるシグマシーケンスの粒度に影響を与えます。 | -| `シグマ_最大` | FLOAT | ノイズスケジュールにおける最大シグマ値で、ノイズレベルの上限を設定します。 | -| `シグマ_最小` | FLOAT | ノイズスケジュールにおける最小シグマ値で、ノイズレベルの下限を設定します。 | -| `ロー` | FLOAT | ノイズスケジュール曲線の形状を制御するパラメータで、ノイズレベルがsigma_minからsigma_maxへどのように進行するかに影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `ステップ` | ノイズスケジュールのステップ数を指定し、生成されるシグマシーケンスの粒度に影響を与えます。 | INT | +| `シグマ_最大` | ノイズスケジュールにおける最大シグマ値で、ノイズレベルの上限を設定します。 | FLOAT | +| `シグマ_最小` | ノイズスケジュールにおける最小シグマ値で、ノイズレベルの下限を設定します。 | FLOAT | +| `ロー` | ノイズスケジュール曲線の形状を制御するパラメータで、ノイズレベルがsigma_minからsigma_maxへどのように進行するかに影響を与えます。 | FLOAT | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-----------------------------------------------------------------------------| -| `sigmas` | SIGMAS | Karras et al. (2022) のノイズスケジュールに従って生成された、ノイズレベル（シグマ）のシーケンスです。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `sigmas` | Karras et al. (2022) のノイズスケジュールに従って生成された、ノイズレベル（シグマ）のシーケンスです。 | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KarrasScheduler/ja.md) diff --git a/ja/built-in-nodes/KlingAvatarNode.mdx b/ja/built-in-nodes/KlingAvatarNode.mdx index fa0679f3a..d49c7903b 100644 --- a/ja/built-in-nodes/KlingAvatarNode.mdx +++ b/ja/built-in-nodes/KlingAvatarNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "KlingAvatarNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingAvatarNode/ja.md) - 以下は、ご指定の翻訳ルールに従って英語ドキュメントを日本語に翻訳したものです。 --- @@ -15,21 +13,23 @@ Kling Avatar 2.0 ノードは、1枚の参照写真と音声ファイルから ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | アバターの参照画像。幅と高さは少なくとも300px以上である必要があります。アスペクト比は1:2.5から2.5:1の間である必要があります。 | -| `sound_file` | AUDIO | はい | - | 音声入力。長さは2秒以上300秒以下である必要があります。 | -| `mode` | COMBO | はい | `"std"`
`"pro"` | 使用する生成モード。 | -| `prompt` | STRING | いいえ | - | アバターの動作、感情、カメラの動きを定義するオプションのプロンプト。（デフォルト：空文字列） | -| `seed` | INT | はい | 0 から 2147483647 | シードはノードを再実行するかどうかを制御します。結果はシードに関係なく非決定的です。（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | アバターの参照画像。幅と高さは少なくとも300px以上である必要があります。アスペクト比は1:2.5から2.5:1の間である必要があります。 | IMAGE | はい | - | +| `sound_file` | 音声入力。長さは2秒以上300秒以下である必要があります。 | AUDIO | はい | - | +| `mode` | 使用する生成モード。 | COMBO | はい | `"std"`
`"pro"` | +| `prompt` | アバターの動作、感情、カメラの動きを定義するオプションのプロンプト。（デフォルト：空文字列） | STRING | いいえ | - | +| `seed` | シードはノードを再実行するかどうかを制御します。結果はシードに関係なく非決定的です。（デフォルト：0） | INT | はい | 0 から 2147483647 | **注記：** `image` と `sound_file` の入力には特定の検証要件があります。画像は少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。音声ファイルは2秒以上300秒以下である必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成されたデジタルヒューマンビデオ。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成されたデジタルヒューマンビデオ。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingAvatarNode/ja.md) --- **Source fingerprint (SHA-256):** `85793d3820a89ef98bb54cb930486847d4fd64cce5470ba34574ec319f8ea8c6` diff --git a/ja/built-in-nodes/KlingCameraControlI2VNode.mdx b/ja/built-in-nodes/KlingCameraControlI2VNode.mdx index 833051adc..489f160a6 100644 --- a/ja/built-in-nodes/KlingCameraControlI2VNode.mdx +++ b/ja/built-in-nodes/KlingCameraControlI2VNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "KlingCameraControlI2VNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/ja.md) - 以下は、ご依頼いただいたComfyUIノードドキュメントの日本語翻訳です。 ## 概要 @@ -14,22 +12,24 @@ Kling Image to Video Camera Control Nodeは、静止画像をプロフェッシ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `start_frame` | IMAGE | はい | - | 参照画像 - URLまたはBase64エンコード文字列。10MBを超えてはならず、解像度は300x300px以上、アスペクト比は1:2.5から2.5:1の間である必要があります。Base64にはdata:imageプレフィックスを含めないでください。 | -| `prompt` | STRING | はい | - | 生成したい動画の内容を説明するポジティブなテキストプロンプト | -| `negative_prompt` | STRING | はい | - | 生成される動画で避けたい内容を説明するネガティブなテキストプロンプト | -| `cfg_scale` | FLOAT | いいえ | 0.0 ～ 1.0 | テキストガイダンスの強さを制御します。値が大きいほど、出力がプロンプトに忠実になります（デフォルト: 0.75） | -| `aspect_ratio` | COMBO | いいえ | `"16:9"`
`"9:16"`
`"1:1"` | 生成される動画のアスペクト比（デフォルト: "16:9"） | -| `camera_control` | CAMERA_CONTROL | はい | - | Kling Camera Controlsノードを使用して作成できます。動画生成中のカメラの動きとモーションを制御します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `start_frame` | 参照画像 - URLまたはBase64エンコード文字列。10MBを超えてはならず、解像度は300x300px以上、アスペクト比は1:2.5から2.5:1の間である必要があります。Base64にはdata:imageプレフィックスを含めないでください。 | IMAGE | はい | - | +| `prompt` | 生成したい動画の内容を説明するポジティブなテキストプロンプト | STRING | はい | - | +| `negative_prompt` | 生成される動画で避けたい内容を説明するネガティブなテキストプロンプト | STRING | はい | - | +| `cfg_scale` | テキストガイダンスの強さを制御します。値が大きいほど、出力がプロンプトに忠実になります（デフォルト: 0.75） | FLOAT | いいえ | 0.0 ～ 1.0 | +| `aspect_ratio` | 生成される動画のアスペクト比（デフォルト: "16:9"） | COMBO | いいえ | `"16:9"`
`"9:16"`
`"1:1"` | +| `camera_control` | Kling Camera Controlsノードを使用して作成できます。動画生成中のカメラの動きとモーションを制御します。 | CAMERA_CONTROL | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video_id` | VIDEO | 生成された動画出力 | -| `duration` | STRING | 生成された動画の一意の識別子 | -| `duration` | STRING | 生成された動画の長さ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video_id` | 生成された動画出力 | VIDEO | +| `duration` | 生成された動画の一意の識別子 | STRING | +| `duration` | 生成された動画の長さ | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/ja.md) --- **Source fingerprint (SHA-256):** `a2965975cd484768298f4c7e504423f782ea032dfb5ef304579715be9c27cb79` diff --git a/ja/built-in-nodes/KlingCameraControlT2VNode.mdx b/ja/built-in-nodes/KlingCameraControlT2VNode.mdx index 5c595dee3..7ee1e96f7 100644 --- a/ja/built-in-nodes/KlingCameraControlT2VNode.mdx +++ b/ja/built-in-nodes/KlingCameraControlT2VNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "KlingCameraControlT2VNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,21 +12,23 @@ Kling Text to Video Camera Control Nodeは、テキストから映画のよう ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | ポジティブテキストプロンプト | -| `negative_prompt` | STRING | はい | - | ネガティブテキストプロンプト | -| `cfg_scale` | FLOAT | いいえ | 0.0～1.0 | 出力がプロンプトにどの程度従うかを制御します（デフォルト：0.75） | -| `aspect_ratio` | COMBO | いいえ | "16:9"
"9:16"
"1:1"
"21:9"
"3:4"
"4:3" | 生成される動画のアスペクト比（デフォルト："16:9"） | -| `camera_control` | CAMERA_CONTROL | いいえ | - | Kling Camera Controlsノードを使用して作成できます。動画生成中のカメラの動きとモーションを制御します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | ポジティブテキストプロンプト | STRING | はい | - | +| `negative_prompt` | ネガティブテキストプロンプト | STRING | はい | - | +| `cfg_scale` | 出力がプロンプトにどの程度従うかを制御します（デフォルト：0.75） | FLOAT | いいえ | 0.0～1.0 | +| `aspect_ratio` | 生成される動画のアスペクト比（デフォルト："16:9"） | COMBO | いいえ | "16:9"
"9:16"
"1:1"
"21:9"
"3:4"
"4:3" | +| `camera_control` | Kling Camera Controlsノードを使用して作成できます。動画生成中のカメラの動きとモーションを制御します。 | CAMERA_CONTROL | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video_id` | VIDEO | カメラ制御エフェクトが適用された生成動画 | -| `duration` | STRING | 生成された動画の一意識別子 | -| `duration` | STRING | 生成された動画の長さ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video_id` | カメラ制御エフェクトが適用された生成動画 | VIDEO | +| `duration` | 生成された動画の一意識別子 | STRING | +| `duration` | 生成された動画の長さ | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/ja.md) --- **Source fingerprint (SHA-256):** `4ebdd6af31f9e5c0816c4bcba886179b3f7d2b5030ff4fa3ddad6df25c528af7` diff --git a/ja/built-in-nodes/KlingCameraControls.mdx b/ja/built-in-nodes/KlingCameraControls.mdx index 520278600..799148aa9 100644 --- a/ja/built-in-nodes/KlingCameraControls.mdx +++ b/ja/built-in-nodes/KlingCameraControls.mdx @@ -5,31 +5,31 @@ sidebarTitle: "KlingCameraControls" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControls/ja.md) - 以下が翻訳結果です。 Kling Camera Controls ノードは、動画生成におけるモーションコントロール効果を作成するために、さまざまなカメラの移動および回転パラメーターを設定できます。このノードは、カメラの位置、回転、ズームを制御して、さまざまなカメラワークをシミュレートします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `camera_control_type` | COMBO | はい | `"simple"`
`"advanced"` | 使用するカメラ制御設定の種類を指定します | -| `horizontal_movement` | FLOAT | いいえ | -10.0 ～ 10.0 | 水平軸（X軸）に沿ったカメラの移動を制御します。負の値は左方向、正の値は右方向を示します（デフォルト：0.0） | -| `vertical_movement` | FLOAT | いいえ | -10.0 ～ 10.0 | 垂直軸（Y軸）に沿ったカメラの移動を制御します。負の値は下方向、正の値は上方向を示します（デフォルト：0.0） | -| `pan` | FLOAT | いいえ | -10.0 ～ 10.0 | 垂直面（X軸）におけるカメラの回転を制御します。負の値は下方向への回転、正の値は上方向への回転を示します（デフォルト：0.5） | -| `tilt` | FLOAT | いいえ | -10.0 ～ 10.0 | 水平面（Y軸）におけるカメラの回転を制御します。負の値は左方向への回転、正の値は右方向への回転を示します（デフォルト：0.0） | -| `roll` | FLOAT | いいえ | -10.0 ～ 10.0 | カメラのロール量（Z軸）を制御します。負の値は反時計回り、正の値は時計回りを示します（デフォルト：0.0） | -| `zoom` | FLOAT | いいえ | -10.0 ～ 10.0 | カメラの焦点距離の変化を制御します。負の値は狭い画角、正の値は広い画角を示します（デフォルト：0.0） | +| パラメーター | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `camera_control_type` | 使用するカメラ制御設定の種類を指定します | COMBO | はい | `"simple"`
`"advanced"` | +| `horizontal_movement` | 水平軸（X軸）に沿ったカメラの移動を制御します。負の値は左方向、正の値は右方向を示します（デフォルト：0.0） | FLOAT | いいえ | -10.0 ～ 10.0 | +| `vertical_movement` | 垂直軸（Y軸）に沿ったカメラの移動を制御します。負の値は下方向、正の値は上方向を示します（デフォルト：0.0） | FLOAT | いいえ | -10.0 ～ 10.0 | +| `pan` | 垂直面（X軸）におけるカメラの回転を制御します。負の値は下方向への回転、正の値は上方向への回転を示します（デフォルト：0.5） | FLOAT | いいえ | -10.0 ～ 10.0 | +| `tilt` | 水平面（Y軸）におけるカメラの回転を制御します。負の値は左方向への回転、正の値は右方向への回転を示します（デフォルト：0.0） | FLOAT | いいえ | -10.0 ～ 10.0 | +| `roll` | カメラのロール量（Z軸）を制御します。負の値は反時計回り、正の値は時計回りを示します（デフォルト：0.0） | FLOAT | いいえ | -10.0 ～ 10.0 | +| `zoom` | カメラの焦点距離の変化を制御します。負の値は狭い画角、正の値は広い画角を示します（デフォルト：0.0） | FLOAT | いいえ | -10.0 ～ 10.0 | **注記：** 設定を有効にするには、カメラ制御パラメーター（`horizontal_movement`、`vertical_movement`、`pan`、`tilt`、`roll`、または `zoom`）のうち少なくとも1つがゼロ以外の値である必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `camera_control` | CAMERA_CONTROL | 動画生成で使用するために設定されたカメラ制御設定を返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `camera_control` | 動画生成で使用するために設定されたカメラ制御設定を返します | CAMERA_CONTROL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControls/ja.md) --- **Source fingerprint (SHA-256):** `4e1d826518ae17afd2c0aa22ebf6cce67b3ef33bb1730f0ce5ead5b9431cd548` diff --git a/ja/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx b/ja/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx index 007ca46a1..1d717c928 100644 --- a/ja/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx +++ b/ja/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "KlingDualCharacterVideoEffectNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md) Kling Dual Character Video Effect ノードは、選択されたシーンに基づいて特殊効果を適用した動画を生成します。2つの画像を入力として受け取り、合成動画の左側に1つ目の画像、右側に2つ目の画像を配置します。選択されたエフェクトシーンに応じて、異なる視覚効果が適用されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image_left` | IMAGE | はい | - | 左側の画像 | -| `image_right` | IMAGE | はい | - | 右側の画像 | -| `effect_scene` | COMBO | はい | `"chat"`
`"dance"`
`"hug"`
`"kill"`
`"kiss"`
`"pat"`
`"punch"`
`"shrug"`
`"slap"`
`"tickle"` | 動画生成に適用する特殊効果シーンの種類 | -| `model_name` | COMBO | いいえ | `"kling-v1"`
`"kling-v1-5"`
`"kling-v1-6"` | キャラクターエフェクトに使用するモデル（デフォルト："kling-v1"） | -| `mode` | COMBO | いいえ | `"std"`
`"pro"` | 動画生成モード（デフォルト："std"） | -| `duration` | COMBO | はい | `"5"`
`"10"` | 生成される動画の長さ（秒単位） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image_left` | 左側の画像 | IMAGE | はい | - | +| `image_right` | 右側の画像 | IMAGE | はい | - | +| `effect_scene` | 動画生成に適用する特殊効果シーンの種類 | COMBO | はい | `"chat"`
`"dance"`
`"hug"`
`"kill"`
`"kiss"`
`"pat"`
`"punch"`
`"shrug"`
`"slap"`
`"tickle"` | +| `model_name` | キャラクターエフェクトに使用するモデル（デフォルト："kling-v1"） | COMBO | いいえ | `"kling-v1"`
`"kling-v1-5"`
`"kling-v1-6"` | +| `mode` | 動画生成モード（デフォルト："std"） | COMBO | いいえ | `"std"`
`"pro"` | +| `duration` | 生成される動画の長さ（秒単位） | COMBO | はい | `"5"`
`"10"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `duration` | VIDEO | デュアルキャラクターエフェクトが適用された生成動画 | -| `duration` | STRING | 生成された動画の長さ情報 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `duration` | デュアルキャラクターエフェクトが適用された生成動画 | VIDEO | +| `duration` | 生成された動画の長さ情報 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/ja.md) --- **Source fingerprint (SHA-256):** `4ee0c3cd834e1c70e41b40b66ac98d15a8b88993e7dc9d9df9fb4fadb868f079` diff --git a/ja/built-in-nodes/KlingFirstLastFrameNode.mdx b/ja/built-in-nodes/KlingFirstLastFrameNode.mdx index 7fee4d04c..b7866c289 100644 --- a/ja/built-in-nodes/KlingFirstLastFrameNode.mdx +++ b/ja/built-in-nodes/KlingFirstLastFrameNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "KlingFirstLastFrameNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/ja.md) - このノードは、Kling 3.0モデルを使用して動画を生成します。テキストプロンプト、指定された長さ、および開始フレームと終了フレームの2つの画像に基づいて動画を作成します。また、動画に合わせた音声を生成することもできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | なし | 動画生成をガイドするテキスト説明です。1文字以上2500文字以下である必要があります。 | -| `継続時間` | INT | いいえ | 3 ～ 15 | 動画の長さ（秒単位）です（デフォルト：5）。 | -| `最初のフレーム` | IMAGE | はい | なし | 動画の開始画像です。少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。 | -| `最後のフレーム` | IMAGE | はい | なし | 動画の終了画像です。少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。 | -| `音声を生成` | BOOLEAN | いいえ | なし | 動画の音声を生成するかどうかを制御します（デフォルト：True）。 | -| `モデル` | COMBO | いいえ | `"kling-v3"` | モデルと生成設定です。このオプションを選択すると、ネストされた`resolution`パラメータが表示されます。 | -| `model.resolution` | COMBO | いいえ | `"4k"`
`"1080p"`
`"720p"` | 生成される動画の解像度です。このパラメータは、`モデル`が`"kling-v3"`に設定されている場合にのみ使用可能です（デフォルト：`"1080p"`）。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを制御するために使用される数値です。シード値に関係なく、結果は非決定的です（デフォルト：0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 動画生成をガイドするテキスト説明です。1文字以上2500文字以下である必要があります。 | STRING | はい | なし | +| `継続時間` | 動画の長さ（秒単位）です（デフォルト：5）。 | INT | いいえ | 3 ～ 15 | +| `最初のフレーム` | 動画の開始画像です。少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。 | IMAGE | はい | なし | +| `最後のフレーム` | 動画の終了画像です。少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。 | IMAGE | はい | なし | +| `音声を生成` | 動画の音声を生成するかどうかを制御します（デフォルト：True）。 | BOOLEAN | いいえ | なし | +| `モデル` | モデルと生成設定です。このオプションを選択すると、ネストされた`resolution`パラメータが表示されます。 | COMBO | いいえ | `"kling-v3"` | +| `model.resolution` | 生成される動画の解像度です。このパラメータは、`モデル`が`"kling-v3"`に設定されている場合にのみ使用可能です（デフォルト：`"1080p"`）。 | COMBO | いいえ | `"4k"`
`"1080p"`
`"720p"` | +| `シード` | ノードを再実行するかどうかを制御するために使用される数値です。シード値に関係なく、結果は非決定的です（デフォルト：0）。 | INT | いいえ | 0 ～ 2147483647 | **注記：** ノードが正しく機能するためには、`first_frame`と`end_frame`の画像が指定された最小サイズとアスペクト比の要件を満たしている必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/ja.md) --- **Source fingerprint (SHA-256):** `5c904fec35b2bb41cf521263b1b06fd36ba227400b4cec24e79a4e80618e4bae` diff --git a/ja/built-in-nodes/KlingImage2VideoNode.mdx b/ja/built-in-nodes/KlingImage2VideoNode.mdx index 7c41a5a60..39ac56127 100644 --- a/ja/built-in-nodes/KlingImage2VideoNode.mdx +++ b/ja/built-in-nodes/KlingImage2VideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "KlingImage2VideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImage2VideoNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,24 +13,26 @@ Kling Image to Video ノードは、テキストプロンプトを使用して ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `start_frame` | IMAGE | はい | - | 動画生成に使用する参照画像です。 | -| `prompt` | STRING | はい | - | ポジティブなテキストプロンプトです。 | -| `negative_prompt` | STRING | はい | - | ネガティブなテキストプロンプトです。 | -| `model_name` | COMBO | はい | `"kling-v2-master"`
`"kling-v2-1-master"`
`"kling-v2-5-turbo"`
`"kling-v2-1"`
`"kling-v1-6"`
`"kling-v1-5"`
`"kling-v1-4"`
`"kling-v1-0"` | 動画生成に使用するモデルです（デフォルト: `"kling-v2-master"`）。 | -| `cfg_scale` | FLOAT | はい | 0.0 ～ 1.0 | 動画がプロンプトにどの程度従うかを制御します。値が大きいほど、より強く従います（デフォルト: 0.8）。 | -| `mode` | COMBO | はい | `"std"`
`"pro"` | 生成モードです。`"std"` は標準品質、`"pro"` は高品質です（デフォルト: `"std"`）。 | -| `aspect_ratio` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | 生成される動画のアスペクト比です（デフォルト: `"16:9"`）。 | -| `duration` | COMBO | はい | `"5"`
`"10"` | 生成される動画の長さ（秒単位）です（デフォルト: `"5"`）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `start_frame` | 動画生成に使用する参照画像です。 | IMAGE | はい | - | +| `prompt` | ポジティブなテキストプロンプトです。 | STRING | はい | - | +| `negative_prompt` | ネガティブなテキストプロンプトです。 | STRING | はい | - | +| `model_name` | 動画生成に使用するモデルです（デフォルト: `"kling-v2-master"`）。 | COMBO | はい | `"kling-v2-master"`
`"kling-v2-1-master"`
`"kling-v2-5-turbo"`
`"kling-v2-1"`
`"kling-v1-6"`
`"kling-v1-5"`
`"kling-v1-4"`
`"kling-v1-0"` | +| `cfg_scale` | 動画がプロンプトにどの程度従うかを制御します。値が大きいほど、より強く従います（デフォルト: 0.8）。 | FLOAT | はい | 0.0 ～ 1.0 | +| `mode` | 生成モードです。`"std"` は標準品質、`"pro"` は高品質です（デフォルト: `"std"`）。 | COMBO | はい | `"std"`
`"pro"` | +| `aspect_ratio` | 生成される動画のアスペクト比です（デフォルト: `"16:9"`）。 | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | +| `duration` | 生成される動画の長さ（秒単位）です（デフォルト: `"5"`）。 | COMBO | はい | `"5"`
`"10"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video_id` | VIDEO | 生成された動画の出力です。 | -| `duration` | STRING | 生成された動画の一意の識別子です。 | -| `duration` | STRING | 生成された動画の長さ情報です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video_id` | 生成された動画の出力です。 | VIDEO | +| `duration` | 生成された動画の一意の識別子です。 | STRING | +| `duration` | 生成された動画の長さ情報です。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImage2VideoNode/ja.md) --- **Source fingerprint (SHA-256):** `2f82997307265dba6714733523e265d1e0a25fd7491b043f05d7d000b7b9b2f3` diff --git a/ja/built-in-nodes/KlingImageGenerationNode.mdx b/ja/built-in-nodes/KlingImageGenerationNode.mdx index 21037ce2d..ef2cdcbd5 100644 --- a/ja/built-in-nodes/KlingImageGenerationNode.mdx +++ b/ja/built-in-nodes/KlingImageGenerationNode.mdx @@ -5,26 +5,24 @@ sidebarTitle: "KlingImageGenerationNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageGenerationNode/ja.md) - 以下が翻訳結果です。 Kling Image Generation ノードは、テキストプロンプトから画像を生成します。必要に応じて参照画像を使用して生成をガイドすることもできます。テキストによる説明と参照設定に基づいて1枚以上の画像を作成し、生成された画像を出力として返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | ポジティブなテキストプロンプト | -| `ネガティブプロンプト` | STRING | はい | - | ネガティブなテキストプロンプト | -| `画像タイプ` | COMBO | はい | `"subject_reference"`
`"style_reference"` | 画像参照タイプの選択（上級者向け）。参照画像が指定された場合に必須です。 | -| `画像忠実度` | FLOAT | はい | 0.0 - 1.0 | ユーザーがアップロードした画像の参照強度（デフォルト: 0.5、上級者向け） | -| `人物忠実度` | FLOAT | はい | 0.0 - 1.0 | 被写体参照の類似度（デフォルト: 0.45、上級者向け） | -| `モデル名` | COMBO | はい | `"kling-v3"`
`"kling-v2"`
`"kling-v1-5"` | 画像生成に使用するモデルの選択（デフォルト: "kling-v3"） | -| `アスペクト比` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | 生成画像のアスペクト比（デフォルト: "16:9"） | -| `生成画像数` | INT | はい | 1 - 9 | 生成する画像の枚数（デフォルト: 1） | -| `画像` | IMAGE | いいえ | - | オプションの参照画像 | -| `シード` | INT | いいえ | 0 - 2147483647 | シードはノードを再実行するかどうかを制御します。結果はシードに関わらず非決定的です（デフォルト: 0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | ポジティブなテキストプロンプト | STRING | はい | - | +| `ネガティブプロンプト` | ネガティブなテキストプロンプト | STRING | はい | - | +| `画像タイプ` | 画像参照タイプの選択（上級者向け）。参照画像が指定された場合に必須です。 | COMBO | はい | `"subject_reference"`
`"style_reference"` | +| `画像忠実度` | ユーザーがアップロードした画像の参照強度（デフォルト: 0.5、上級者向け） | FLOAT | はい | 0.0 - 1.0 | +| `人物忠実度` | 被写体参照の類似度（デフォルト: 0.45、上級者向け） | FLOAT | はい | 0.0 - 1.0 | +| `モデル名` | 画像生成に使用するモデルの選択（デフォルト: "kling-v3"） | COMBO | はい | `"kling-v3"`
`"kling-v2"`
`"kling-v1-5"` | +| `アスペクト比` | 生成画像のアスペクト比（デフォルト: "16:9"） | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | +| `生成画像数` | 生成する画像の枚数（デフォルト: 1） | INT | はい | 1 - 9 | +| `画像` | オプションの参照画像 | IMAGE | いいえ | - | +| `シード` | シードはノードを再実行するかどうかを制御します。結果はシードに関わらず非決定的です（デフォルト: 0） | INT | いいえ | 0 - 2147483647 | **パラメータの制約:** @@ -35,9 +33,11 @@ Kling Image Generation ノードは、テキストプロンプトから画像を ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | 入力パラメータに基づいて生成された画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力パラメータに基づいて生成された画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageGenerationNode/ja.md) --- **Source fingerprint (SHA-256):** `f25164f4007b1f62285e76519238b5061b63597e1a06365acf93d4289063bd3a` diff --git a/ja/built-in-nodes/KlingImageToVideoWithAudio.mdx b/ja/built-in-nodes/KlingImageToVideoWithAudio.mdx index a083a0395..27d936b85 100644 --- a/ja/built-in-nodes/KlingImageToVideoWithAudio.mdx +++ b/ja/built-in-nodes/KlingImageToVideoWithAudio.mdx @@ -5,28 +5,28 @@ sidebarTitle: "KlingImageToVideoWithAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/ja.md) - 以下が翻訳結果です。 ## 概要Kling Image（最初のフレーム）から音声付きビデオを生成するノードは、Kling AIモデルを使用して、1枚の開始画像とテキストプロンプトから短いビデオを生成します。提供された画像で始まるビデオシーケンスを作成し、オプションでAI生成の音声を映像に追加することもできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|-------------| -| `モデル名` | COMBO | はい | `"kling-v2-6"` | ビデオ生成に使用するKling AIモデルの特定のバージョン。 | -| `開始フレーム` | IMAGE | はい | - | 生成されるビデオの最初のフレームとして使用される画像。画像は少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。 | -| `プロンプト` | STRING | はい | - | ポジティブテキストプロンプト。生成したいビデオの内容を記述します。プロンプトは1文字以上2500文字以下である必要があります。 | -| `モード` | COMBO | はい | `"pro"` | ビデオ生成の動作モード。 | -| `継続時間` | COMBO | はい | `5`
`10` | 生成するビデオの長さ（秒単位）。 | -| `音声を生成` | BOOLEAN | いいえ | - | 有効にすると、ノードはビデオに合わせた音声を生成します。無効にすると、ビデオは無音になります。（デフォルト：True） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル名` | ビデオ生成に使用するKling AIモデルの特定のバージョン。 | COMBO | はい | `"kling-v2-6"` | +| `開始フレーム` | 生成されるビデオの最初のフレームとして使用される画像。画像は少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。 | IMAGE | はい | - | +| `プロンプト` | ポジティブテキストプロンプト。生成したいビデオの内容を記述します。プロンプトは1文字以上2500文字以下である必要があります。 | STRING | はい | - | +| `モード` | ビデオ生成の動作モード。 | COMBO | はい | `"pro"` | +| `継続時間` | 生成するビデオの長さ（秒単位）。 | COMBO | はい | `5`
`10` | +| `音声を生成` | 有効にすると、ノードはビデオに合わせた音声を生成します。無効にすると、ビデオは無音になります。（デフォルト：True） | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video` | VIDEO | 生成されたビデオファイル。`音声を生成`入力の設定に応じて、音声が含まれる場合があります。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video` | 生成されたビデオファイル。`音声を生成`入力の設定に応じて、音声が含まれる場合があります。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/ja.md) --- **Source fingerprint (SHA-256):** `f161eedbc5d780805e3d0ca32b6be94cc78afcd2749e065c032ea20991b782fc` diff --git a/ja/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx b/ja/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx index 1b60d2298..64bfa77e5 100644 --- a/ja/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx +++ b/ja/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "KlingLipSyncAudioToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,11 +12,11 @@ Kling リップシンク音声動画ノードは、動画ファイル内の口 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `動画` | VIDEO | はい | - | リップシンク対象の顔が含まれる動画ファイル | -| `音声` | AUDIO | はい | - | 動画と同期する音声が含まれる音声ファイル | -| `音声言語` | COMBO | はい | `"en"`
`"zh"`
`"es"`
`"fr"`
`"de"`
`"it"`
`"pt"`
`"pl"`
`"tr"`
`"ru"`
`"nl"`
`"cs"`
`"ar"`
`"ja"`
`"hu"`
`"ko"` | 音声ファイル内の音声の言語（デフォルト: "en"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `動画` | リップシンク対象の顔が含まれる動画ファイル | VIDEO | はい | - | +| `音声` | 動画と同期する音声が含まれる音声ファイル | AUDIO | はい | - | +| `音声言語` | 音声ファイル内の音声の言語（デフォルト: "en"） | COMBO | はい | `"en"`
`"zh"`
`"es"`
`"fr"`
`"de"`
`"it"`
`"pt"`
`"pl"`
`"tr"`
`"ru"`
`"nl"`
`"cs"`
`"ar"`
`"ja"`
`"hu"`
`"ko"` | **重要な制約事項：** @@ -31,11 +29,13 @@ Kling リップシンク音声動画ノードは、動画ファイル内の口 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `動画ID` | VIDEO | 口の動きがリップシンクされた処理済み動画 | -| `再生時間` | STRING | 処理済み動画の一意識別子 | -| `duration` | STRING | 処理済み動画の長さ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `動画ID` | 口の動きがリップシンクされた処理済み動画 | VIDEO | +| `再生時間` | 処理済み動画の一意識別子 | STRING | +| `duration` | 処理済み動画の長さ | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `92b8a7a4f9508632155a5f69707ffc4a14f2f44c04e4d01bf46476a972465592` diff --git a/ja/built-in-nodes/KlingLipSyncTextToVideoNode.mdx b/ja/built-in-nodes/KlingLipSyncTextToVideoNode.mdx index 3be41df64..beca220b0 100644 --- a/ja/built-in-nodes/KlingLipSyncTextToVideoNode.mdx +++ b/ja/built-in-nodes/KlingLipSyncTextToVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "KlingLipSyncTextToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/ja.md) - 以下が翻訳結果です。 --- @@ -15,12 +13,12 @@ Kling Lip Sync Text to Video Node は、動画ファイル内の口の動きを ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `動画` | VIDEO | はい | - | リップシンク用の入力動画ファイル | -| `テキスト` | STRING | はい | - | リップシンク動画生成用のテキスト内容。モードが text2video の場合に必須です。最大文字数は120文字です。 | -| `音声` | COMBO | いいえ | "Melody"
"Bella"
"Aria"
"Ethan"
"Ryan"
"Dorothy"
"Nathan"
"Lily"
"Aaron"
"Emma"
"Grace"
"Henry"
"Isabella"
"James"
"Katherine"
"Liam"
"Mia"
"Noah"
"Olivia"
"Sophia" | リップシンク音声用の音声選択（デフォルト："Melody"） | -| `話速` | FLOAT | いいえ | 0.8-2.0 | 発話速度。有効範囲：0.8～2.0、小数点第1位まで指定可能（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `動画` | リップシンク用の入力動画ファイル | VIDEO | はい | - | +| `テキスト` | リップシンク動画生成用のテキスト内容。モードが text2video の場合に必須です。最大文字数は120文字です。 | STRING | はい | - | +| `音声` | リップシンク音声用の音声選択（デフォルト："Melody"） | COMBO | いいえ | "Melody"
"Bella"
"Aria"
"Ethan"
"Ryan"
"Dorothy"
"Nathan"
"Lily"
"Aaron"
"Emma"
"Grace"
"Henry"
"Isabella"
"James"
"Katherine"
"Liam"
"Mia"
"Noah"
"Olivia"
"Sophia" | +| `話速` | 発話速度。有効範囲：0.8～2.0、小数点第1位まで指定可能（デフォルト：1） | FLOAT | いいえ | 0.8-2.0 | **動画の要件：** @@ -30,11 +28,13 @@ Kling Lip Sync Text to Video Node は、動画ファイル内の口の動きを ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `動画ID` | VIDEO | リップシンクされた音声付きの生成動画 | -| `再生時間` | STRING | 生成された動画の一意識別子 | -| `duration` | STRING | 生成された動画の長さ情報 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `動画ID` | リップシンクされた音声付きの生成動画 | VIDEO | +| `再生時間` | 生成された動画の一意識別子 | STRING | +| `duration` | 生成された動画の長さ情報 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `f16200d52ba05acfedebc027dde91e2c91bdbb80086888d947c9f56a4e92856d` diff --git a/ja/built-in-nodes/KlingMotionControl.mdx b/ja/built-in-nodes/KlingMotionControl.mdx index 65052a05f..f34a432c9 100644 --- a/ja/built-in-nodes/KlingMotionControl.mdx +++ b/ja/built-in-nodes/KlingMotionControl.mdx @@ -5,23 +5,21 @@ sidebarTitle: "KlingMotionControl" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingMotionControl/ja.md) - 以下が翻訳結果です。 Kling Motion Control ノードは、参照画像とテキストプロンプトで定義されたキャラクターに対して、参照動画のモーション、表情、カメラワークを適用し、動画を生成します。このノードでは、キャラクターの最終的な向きを参照動画と参照画像のどちらから取得するかを制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | なし | 生成したい動画のテキストによる説明。最大文字数は2500文字です。 | -| `参照画像` | IMAGE | はい | なし | アニメーション化するキャラクターの画像。最小寸法は340x340ピクセルです。アスペクト比は1:2.5から2.5:1の間である必要があります。 | -| `参照ビデオ` | VIDEO | はい | なし | キャラクターの動きや表情を駆動するためのモーション参照動画。最小寸法は340x340ピクセル、最大寸法は3850x3850ピクセルです。再生時間の制限は`キャラクターの向き`の設定によって異なります。 | -| `元の音声を保持` | BOOLEAN | いいえ | なし | 出力に参照動画の元の音声を保持するかどうかを指定します。デフォルトは`True`です。 | -| `キャラクターの向き` | COMBO | いいえ | `"video"`
`"image"` | キャラクターの向きをどこから取得するかを制御します。`"video"`：動き、表情、カメラワーク、向きはすべてモーション参照動画に従います（その他の詳細はプロンプトで指定）。`"image"`：動きと表情はモーション参照動画に従いますが、キャラクターの向きは参照画像に合わせられます（カメラやその他の詳細はプロンプトで指定）。 | -| `モード` | COMBO | いいえ | `"pro"`
`"std"` | 使用する生成モードです。 | -| `モデル` | COMBO | いいえ | `"kling-v3"`
`"kling-v2-6"` | 使用するKlingモデルのバージョンです。デフォルトは`"kling-v2-6"`です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 生成したい動画のテキストによる説明。最大文字数は2500文字です。 | STRING | はい | なし | +| `参照画像` | アニメーション化するキャラクターの画像。最小寸法は340x340ピクセルです。アスペクト比は1:2.5から2.5:1の間である必要があります。 | IMAGE | はい | なし | +| `参照ビデオ` | キャラクターの動きや表情を駆動するためのモーション参照動画。最小寸法は340x340ピクセル、最大寸法は3850x3850ピクセルです。再生時間の制限は`キャラクターの向き`の設定によって異なります。 | VIDEO | はい | なし | +| `元の音声を保持` | 出力に参照動画の元の音声を保持するかどうかを指定します。デフォルトは`True`です。 | BOOLEAN | いいえ | なし | +| `キャラクターの向き` | キャラクターの向きをどこから取得するかを制御します。`"video"`：動き、表情、カメラワーク、向きはすべてモーション参照動画に従います（その他の詳細はプロンプトで指定）。`"image"`：動きと表情はモーション参照動画に従いますが、キャラクターの向きは参照画像に合わせられます（カメラやその他の詳細はプロンプトで指定）。 | COMBO | いいえ | `"video"`
`"image"` | +| `モード` | 使用する生成モードです。 | COMBO | いいえ | `"pro"`
`"std"` | +| `モデル` | 使用するKlingモデルのバージョンです。デフォルトは`"kling-v2-6"`です。 | COMBO | いいえ | `"kling-v3"`
`"kling-v2-6"` | **制約事項：** @@ -30,9 +28,11 @@ Kling Motion Control ノードは、参照画像とテキストプロンプト ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 参照動画のモーションをキャラクターが実行している、生成された動画。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 参照動画のモーションをキャラクターが実行している、生成された動画。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingMotionControl/ja.md) --- **Source fingerprint (SHA-256):** `4159b10496e85ae93f522865494e9bc99ba08bda00df1601bca2314e61fb32df` diff --git a/ja/built-in-nodes/KlingOmniProEditVideoNode.mdx b/ja/built-in-nodes/KlingOmniProEditVideoNode.mdx index 381ca5227..0be57ebd4 100644 --- a/ja/built-in-nodes/KlingOmniProEditVideoNode.mdx +++ b/ja/built-in-nodes/KlingOmniProEditVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "KlingOmniProEditVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,15 +12,15 @@ Kling Omni Edit Video (Pro) ノードは、AI モデルを使用して、テキ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル名` | COMBO | はい | `"kling-v3-omni"`
`"kling-video-o1"` | 動画編集に使用する AI モデル（デフォルト: `"kling-v3-omni"`）。 | -| `プロンプト` | STRING | はい | | 動画の内容を説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。 | -| `ビデオ` | VIDEO | はい | | 編集する動画。出力動画の長さは同じになります。 | -| `元の音声を保持` | BOOLEAN | はい | | 入力動画の元の音声を出力に保持するかどうかを決定します（デフォルト: True）。 | -| `参照画像` | IMAGE | いいえ | | 最大4枚までの追加の参照画像。 | -| `解像度` | COMBO | いいえ | `"1080p"`
`"720p"` | 出力動画の解像度（デフォルト: `"1080p"`）。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト: 0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル名` | 動画編集に使用する AI モデル（デフォルト: `"kling-v3-omni"`）。 | COMBO | はい | `"kling-v3-omni"`
`"kling-video-o1"` | +| `プロンプト` | 動画の内容を説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。 | STRING | はい | | +| `ビデオ` | 編集する動画。出力動画の長さは同じになります。 | VIDEO | はい | | +| `元の音声を保持` | 入力動画の元の音声を出力に保持するかどうかを決定します（デフォルト: True）。 | BOOLEAN | はい | | +| `参照画像` | 最大4枚までの追加の参照画像。 | IMAGE | いいえ | | +| `解像度` | 出力動画の解像度（デフォルト: `"1080p"`）。 | COMBO | いいえ | `"1080p"`
`"720p"` | +| `シード` | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト: 0）。 | INT | いいえ | 0 ～ 2147483647 | **制約と制限事項：** @@ -35,9 +33,11 @@ Kling Omni Edit Video (Pro) ノードは、AI モデルを使用して、テキ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ビデオ` | VIDEO | AI モデルによって生成された編集済み動画。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ビデオ` | AI モデルによって生成された編集済み動画。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `ddc3fdc8c97cdcdd34f16a0916b13ffe6adeb46e58e2933516c9a6aef7c36730` diff --git a/ja/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx b/ja/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx index b6d7b7648..c50dcf818 100644 --- a/ja/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx +++ b/ja/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx @@ -5,24 +5,22 @@ sidebarTitle: "KlingOmniProFirstLastFrameNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/ja.md) - このノードは、最新のKling AIモデルを使用して、開始フレーム、オプションの終了フレーム、または参照画像から動画を生成します。単一の動画、または各セグメントに個別のプロンプトと長さを設定したマルチショットストーリーボードを作成できます。このノードはこれらの入力を処理し、指定された長さと解像度の動画を生成します。オプションで音声生成も可能です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | はい | `"kling-v3-omni"`
`"kling-video-o1"` | 動画生成に使用する特定のKling AIモデル。 | -| `プロンプト` | STRING | はい | - | 動画の内容を説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。ストーリーボードが有効な場合は無視されます。 | -| `継続時間` | INT | はい | 3 ～ 15 | 生成する動画の希望の長さ（秒単位、デフォルト：5）。 | -| `開始フレーム` | IMAGE | はい | - | 動画シーケンスの開始画像。 | -| `終了フレーム` | IMAGE | いいえ | - | 動画のオプションの終了フレーム。`リファレンス画像`と同時に使用することはできません。ストーリーボードでは機能しません。 | -| `リファレンス画像` | IMAGE | いいえ | - | 最大6枚までの追加の参照画像。 | -| `解像度` | COMBO | いいえ | `"4k"`
`"1080p"`
`"720p"` | 生成する動画の出力解像度（デフォルト："1080p"）。 | -| `ストーリーボード` | DYNAMIC_COMBO | いいえ | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | 個別のプロンプトと長さを持つ一連の動画セグメントを生成します。`kling-v3-omni`でのみサポートされています。有効にすると、各ストーリーボードにプロンプトと長さの入力が必要です。 | -| `音声を生成` | BOOLEAN | いいえ | True / False | 動画の音声を生成します（デフォルト：False）。`kling-v3-omni`でのみサポートされています。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。シードに関係なく、結果は非決定的です（デフォルト：0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_name` | 動画生成に使用する特定のKling AIモデル。 | COMBO | はい | `"kling-v3-omni"`
`"kling-video-o1"` | +| `プロンプト` | 動画の内容を説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。ストーリーボードが有効な場合は無視されます。 | STRING | はい | - | +| `継続時間` | 生成する動画の希望の長さ（秒単位、デフォルト：5）。 | INT | はい | 3 ～ 15 | +| `開始フレーム` | 動画シーケンスの開始画像。 | IMAGE | はい | - | +| `終了フレーム` | 動画のオプションの終了フレーム。`リファレンス画像`と同時に使用することはできません。ストーリーボードでは機能しません。 | IMAGE | いいえ | - | +| `リファレンス画像` | 最大6枚までの追加の参照画像。 | IMAGE | いいえ | - | +| `解像度` | 生成する動画の出力解像度（デフォルト："1080p"）。 | COMBO | いいえ | `"4k"`
`"1080p"`
`"720p"` | +| `ストーリーボード` | 個別のプロンプトと長さを持つ一連の動画セグメントを生成します。`kling-v3-omni`でのみサポートされています。有効にすると、各ストーリーボードにプロンプトと長さの入力が必要です。 | DYNAMIC_COMBO | いいえ | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | +| `音声を生成` | 動画の音声を生成します（デフォルト：False）。`kling-v3-omni`でのみサポートされています。 | BOOLEAN | いいえ | True / False | +| `シード` | シードはノードを再実行するかどうかを制御します。シードに関係なく、結果は非決定的です（デフォルト：0）。 | INT | いいえ | 0 ～ 2147483647 | **重要な制約事項：** @@ -39,9 +37,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/ja.md) --- **Source fingerprint (SHA-256):** `bd0fb11242b7f79062079b1aa48c3524abf59ecf06a90f013e57b6910cd8e224` diff --git a/ja/built-in-nodes/KlingOmniProImageNode.mdx b/ja/built-in-nodes/KlingOmniProImageNode.mdx index 6915dce59..d9c4abc7f 100644 --- a/ja/built-in-nodes/KlingOmniProImageNode.mdx +++ b/ja/built-in-nodes/KlingOmniProImageNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "KlingOmniProImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageNode/ja.md) - 以下が翻訳結果です。 --- @@ -15,21 +13,23 @@ Kling Omni Image (Pro) ノードは、最新のKling AIモデルを使用して ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -| :--- | :--- | :--- | :--- | :--- | -| `model_name` | COMBO | はい | `"kling-v3-omni"`
`"kling-image-o1"` | 画像生成に使用する特定のKling AIモデルを指定します。 | -| `プロンプト` | STRING | はい | - | 画像の内容を説明するテキストプロンプトです。肯定的な記述と否定的な記述の両方を含めることができます。テキストは1文字以上2500文字以内である必要があります。 | -| `解像度` | COMBO | はい | `"1K"`
`"2K"`
`"4K"` | 生成される画像の目標解像度です。注意：`kling-image-o1`モデルでは4K解像度はサポートされていません。 | -| `アスペクト比` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"3:2"`
`"2:3"`
`"21:9"` | 生成される画像の希望するアスペクト比（幅と高さの比率）です。 | -| `シリーズ数` | COMBO | はい | `"disabled"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"` | 一連の画像を生成します。この機能は`kling-image-o1`モデルではサポートされていません。（デフォルト：`"disabled"`） | -| `リファレンス画像` | IMAGE | いいえ | - | 最大10枚までの追加の参照画像です。各画像は幅と高さの両方が少なくとも300ピクセルである必要があり、アスペクト比は1:2.5から2.5:1の間である必要があります。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。シードに関わらず結果は非決定的です。（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_name` | 画像生成に使用する特定のKling AIモデルを指定します。 | COMBO | はい | `"kling-v3-omni"`
`"kling-image-o1"` | +| `プロンプト` | 画像の内容を説明するテキストプロンプトです。肯定的な記述と否定的な記述の両方を含めることができます。テキストは1文字以上2500文字以内である必要があります。 | STRING | はい | - | +| `解像度` | 生成される画像の目標解像度です。注意：`kling-image-o1`モデルでは4K解像度はサポートされていません。 | COMBO | はい | `"1K"`
`"2K"`
`"4K"` | +| `アスペクト比` | 生成される画像の希望するアスペクト比（幅と高さの比率）です。 | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"3:2"`
`"2:3"`
`"21:9"` | +| `シリーズ数` | 一連の画像を生成します。この機能は`kling-image-o1`モデルではサポートされていません。（デフォルト：`"disabled"`） | COMBO | はい | `"disabled"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"` | +| `リファレンス画像` | 最大10枚までの追加の参照画像です。各画像は幅と高さの両方が少なくとも300ピクセルである必要があり、アスペクト比は1:2.5から2.5:1の間である必要があります。 | IMAGE | いいえ | - | +| `シード` | シードはノードを再実行するかどうかを制御します。シードに関わらず結果は非決定的です。（デフォルト：0） | INT | いいえ | 0 ～ 2147483647 | ## 出力 -| 出力名 | データ型 | 説明 | -| :--- | :--- | :--- | -| `image` | IMAGE | Kling AIモデルによって生成または編集された最終的な画像です。シリーズが要求された場合は、複数の画像がバッチとして返されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | Kling AIモデルによって生成または編集された最終的な画像です。シリーズが要求された場合は、複数の画像がバッチとして返されます。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageNode/ja.md) --- **Source fingerprint (SHA-256):** `7bbed260436bc60e284c99e091cd28b2b0cf50e98e876f94278f1ac2834e61f8` diff --git a/ja/built-in-nodes/KlingOmniProImageToVideoNode.mdx b/ja/built-in-nodes/KlingOmniProImageToVideoNode.mdx index 8c2a160ed..991462ce2 100644 --- a/ja/built-in-nodes/KlingOmniProImageToVideoNode.mdx +++ b/ja/built-in-nodes/KlingOmniProImageToVideoNode.mdx @@ -5,23 +5,21 @@ sidebarTitle: "KlingOmniProImageToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/ja.md) - このノードは、Kling AIモデルを使用して、テキストプロンプトと最大7枚の参照画像に基づいて動画を生成します。動画のアスペクト比、長さ、解像度を制御でき、オプションでストーリーボードの使用や音声の生成も可能です。このノードは外部APIにリクエストを送信し、生成された動画を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | はい | `"kling-v3-omni"`
`"kling-video-o1"` | 動画生成に使用する特定のKlingモデル（デフォルト: "kling-v3-omni"）。 | -| `プロンプト` | STRING | はい | - | 動画の内容を説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。テキストは自動的に正規化され、1文字以上2500文字以内である必要があります。ストーリーボードが有効な場合は無視されます。 | -| `アスペクト比` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | 生成される動画の希望するアスペクト比。 | -| `継続時間` | INT | はい | 3 ～ 15 | 動画の長さ（秒単位）。スライダーで値を調整できます（デフォルト: 5）。 | -| `リファレンス画像` | IMAGE | はい | - | 最大7枚の参照画像。各画像は少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。 | -| `解像度` | COMBO | いいえ | `"4k"`
`"1080p"`
`"720p"` | 動画の出力解像度。このパラメータはオプションです（デフォルト: "1080p"）。 | -| `ストーリーボード` | DYNAMIC_COMBO | いいえ | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | 個別のプロンプトと長さを持つ一連の動画セグメントを生成します。`kling-v3-omni`でのみサポートされています。有効にすると、グローバルな`プロンプト`は無視され、すべてのストーリーボードセグメントの合計時間がグローバルな`継続時間`と等しくなければなりません。 | -| `音声を生成` | BOOLEAN | いいえ | `true`
`false` | 動画の音声を生成します。`kling-v3-omni`でのみサポートされています（デフォルト: false）。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト: 0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_name` | 動画生成に使用する特定のKlingモデル（デフォルト: "kling-v3-omni"）。 | COMBO | はい | `"kling-v3-omni"`
`"kling-video-o1"` | +| `プロンプト` | 動画の内容を説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。テキストは自動的に正規化され、1文字以上2500文字以内である必要があります。ストーリーボードが有効な場合は無視されます。 | STRING | はい | - | +| `アスペクト比` | 生成される動画の希望するアスペクト比。 | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | +| `継続時間` | 動画の長さ（秒単位）。スライダーで値を調整できます（デフォルト: 5）。 | INT | はい | 3 ～ 15 | +| `リファレンス画像` | 最大7枚の参照画像。各画像は少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。 | IMAGE | はい | - | +| `解像度` | 動画の出力解像度。このパラメータはオプションです（デフォルト: "1080p"）。 | COMBO | いいえ | `"4k"`
`"1080p"`
`"720p"` | +| `ストーリーボード` | 個別のプロンプトと長さを持つ一連の動画セグメントを生成します。`kling-v3-omni`でのみサポートされています。有効にすると、グローバルな`プロンプト`は無視され、すべてのストーリーボードセグメントの合計時間がグローバルな`継続時間`と等しくなければなりません。 | DYNAMIC_COMBO | いいえ | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | +| `音声を生成` | 動画の音声を生成します。`kling-v3-omni`でのみサポートされています（デフォルト: false）。 | BOOLEAN | いいえ | `true`
`false` | +| `シード` | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト: 0）。 | INT | いいえ | 0 ～ 2147483647 | **注記:** `reference_images`入力は最大7枚の画像を受け入れます。それ以上提供された場合、ノードはエラーを発生させます。各画像は最小寸法とアスペクト比について検証されます。 @@ -33,9 +31,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `80f4568be81b23c75bfff2bd3f21a61b242563c3c9fb1985a03e76ace24dceb2` diff --git a/ja/built-in-nodes/KlingOmniProTextToVideoNode.mdx b/ja/built-in-nodes/KlingOmniProTextToVideoNode.mdx index 5a81b12f6..6d0933af3 100644 --- a/ja/built-in-nodes/KlingOmniProTextToVideoNode.mdx +++ b/ja/built-in-nodes/KlingOmniProTextToVideoNode.mdx @@ -5,22 +5,20 @@ sidebarTitle: "KlingOmniProTextToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/ja.md) - このノードは、最新のKling AIモデルを使用して、テキスト説明から動画を生成します。プロンプトをリモートAPIに送信し、生成された動画を返します。このノードでは、動画の長さ、形状、品質を制御でき、マルチショットのストーリーボードを作成することも可能です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | はい | `"kling-v3-omni"`
`"kling-video-o1"` | 動画生成に使用する特定のKlingモデル（デフォルト: `"kling-v3-omni"`）。 | -| `プロンプト` | STRING | はい | 0～2500文字 | 動画の内容を説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。ストーリーボードが有効な場合は無視されます。 | -| `アスペクト比` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | 生成する動画の形状または寸法。 | -| `継続時間` | INT | はい | 3～15秒 | 動画の長さ（秒単位、デフォルト: 5）。 | -| `解像度` | COMBO | いいえ | `"4k"`
`"1080p"`
`"720p"` | 動画の品質またはピクセル解像度（デフォルト: `"1080p"`）。 | -| `ストーリーボード` | DYNAMIC_COMBO | いいえ | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | 個別のプロンプトと長さを持つ一連の動画セグメントを生成します。o1モデルでは無視されます。 | -| `音声を生成` | BOOLEAN | いいえ | True / False | 動画のオーディオを生成するかどうか（デフォルト: False）。 | -| `シード` | INT | いいえ | 0～2147483647 | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト: 0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_name` | 動画生成に使用する特定のKlingモデル（デフォルト: `"kling-v3-omni"`）。 | COMBO | はい | `"kling-v3-omni"`
`"kling-video-o1"` | +| `プロンプト` | 動画の内容を説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。ストーリーボードが有効な場合は無視されます。 | STRING | はい | 0～2500文字 | +| `アスペクト比` | 生成する動画の形状または寸法。 | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | +| `継続時間` | 動画の長さ（秒単位、デフォルト: 5）。 | INT | はい | 3～15秒 | +| `解像度` | 動画の品質またはピクセル解像度（デフォルト: `"1080p"`）。 | COMBO | いいえ | `"4k"`
`"1080p"`
`"720p"` | +| `ストーリーボード` | 個別のプロンプトと長さを持つ一連の動画セグメントを生成します。o1モデルでは無視されます。 | DYNAMIC_COMBO | いいえ | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | +| `音声を生成` | 動画のオーディオを生成するかどうか（デフォルト: False）。 | BOOLEAN | いいえ | True / False | +| `シード` | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト: 0）。 | INT | いいえ | 0～2147483647 | ### パラメータの制約と制限事項 @@ -39,9 +37,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 指定されたテキストプロンプトと設定に基づいて生成された動画。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 指定されたテキストプロンプトと設定に基づいて生成された動画。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `2f867e0bd2e7b0ec901a9ad8d2adcfe712ed479c1613b80f86af3a20863e9f4c` diff --git a/ja/built-in-nodes/KlingOmniProVideoToVideoNode.mdx b/ja/built-in-nodes/KlingOmniProVideoToVideoNode.mdx index 274518af6..e20bc30e3 100644 --- a/ja/built-in-nodes/KlingOmniProVideoToVideoNode.mdx +++ b/ja/built-in-nodes/KlingOmniProVideoToVideoNode.mdx @@ -5,23 +5,21 @@ sidebarTitle: "KlingOmniProVideoToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/ja.md) - このノードは、Kling AIモデルを使用して、入力動画とオプションの参照画像に基づいて新しい動画を生成します。目的のコンテンツを説明するテキストプロンプトを指定すると、ノードが参照動画をそれに応じて変換します。また、最大4枚の追加参照画像を取り込んで、出力のスタイルとコンテンツをガイドすることもできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | はい | `"kling-v3-omni"`
`"kling-video-o1"` | 動画生成に使用する特定のKlingモデル（デフォルト："kling-v3-omni"）。 | -| `プロンプト` | STRING | はい | なし | 動画コンテンツを説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。 | -| `アスペクト比` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | 生成される動画の希望アスペクト比。 | -| `長さ` | INT | はい | 3～10 | 生成される動画の長さ（秒）（デフォルト：3）。 | -| `参照ビデオ` | VIDEO | はい | なし | 参照として使用する動画。 | -| `元の音声を保持` | BOOLEAN | はい | なし | 出力に参照動画の音声を保持するかどうかを決定します（デフォルト：True）。 | -| `参照画像` | IMAGE | いいえ | なし | 最大4枚の追加参照画像。 | -| `解像度` | COMBO | いいえ | `"1080p"`
`"720p"` | 生成される動画の解像度（デフォルト："1080p"）。 | -| `シード` | INT | いいえ | 0～2147483647 | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト：0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_name` | 動画生成に使用する特定のKlingモデル（デフォルト："kling-v3-omni"）。 | COMBO | はい | `"kling-v3-omni"`
`"kling-video-o1"` | +| `プロンプト` | 動画コンテンツを説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。 | STRING | はい | なし | +| `アスペクト比` | 生成される動画の希望アスペクト比。 | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | +| `長さ` | 生成される動画の長さ（秒）（デフォルト：3）。 | INT | はい | 3～10 | +| `参照ビデオ` | 参照として使用する動画。 | VIDEO | はい | なし | +| `元の音声を保持` | 出力に参照動画の音声を保持するかどうかを決定します（デフォルト：True）。 | BOOLEAN | はい | なし | +| `参照画像` | 最大4枚の追加参照画像。 | IMAGE | いいえ | なし | +| `解像度` | 生成される動画の解像度（デフォルト："1080p"）。 | COMBO | いいえ | `"1080p"`
`"720p"` | +| `シード` | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト：0）。 | INT | いいえ | 0～2147483647 | **パラメータ制約：** @@ -32,9 +30,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 新しく生成された動画。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 新しく生成された動画。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `1bed976530603bcf7db67048e89ad6adac218fba8597744f8ece3e16a2ee4993` diff --git a/ja/built-in-nodes/KlingSingleImageVideoEffectNode.mdx b/ja/built-in-nodes/KlingSingleImageVideoEffectNode.mdx index 07c9edbfb..48b58251a 100644 --- a/ja/built-in-nodes/KlingSingleImageVideoEffectNode.mdx +++ b/ja/built-in-nodes/KlingSingleImageVideoEffectNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "KlingSingleImageVideoEffectNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/ja.md) - 以下は、ご依頼いただいたComfyUIノードドキュメントの日本語翻訳です。 --- @@ -15,22 +13,24 @@ Kling 単一画像ビデオエフェクトノードは、1枚の参照画像に ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 参照画像。URL、またはBase64エンコードされた文字列（`data:image`プレフィックスは不要）。ファイルサイズは10MB以下、解像度は300x300px以上、アスペクト比は1:2.5から2.5:1の間である必要があります。 | -| `effect_scene` | COMBO | はい | `"dizzydizzy"`
`"bloombloom"`
`"neon"`
`"cartoon"`
`"sketch"`
`"oil"`
`"watercolor"`
`"3d"` | 動画生成に適用する特殊効果シーンの種類。一部のエフェクトは異なる料金が設定されている場合があります。 | -| `model_name` | COMBO | はい | `"kling-v1-5"`
`"kling-v1-6"` | 動画エフェクトの生成に使用する特定のモデルバージョン。 | -| `duration` | COMBO | はい | `"5"`
`"10"` | 生成される動画の長さ（秒単位）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | 参照画像。URL、またはBase64エンコードされた文字列（`data:image`プレフィックスは不要）。ファイルサイズは10MB以下、解像度は300x300px以上、アスペクト比は1:2.5から2.5:1の間である必要があります。 | IMAGE | はい | - | +| `effect_scene` | 動画生成に適用する特殊効果シーンの種類。一部のエフェクトは異なる料金が設定されている場合があります。 | COMBO | はい | `"dizzydizzy"`
`"bloombloom"`
`"neon"`
`"cartoon"`
`"sketch"`
`"oil"`
`"watercolor"`
`"3d"` | +| `model_name` | 動画エフェクトの生成に使用する特定のモデルバージョン。 | COMBO | はい | `"kling-v1-5"`
`"kling-v1-6"` | +| `duration` | 生成される動画の長さ（秒単位）。 | COMBO | はい | `"5"`
`"10"` | **注記:** `effect_scene`パラメータは、ノードの料金に影響します。エフェクト`dizzydizzy`と`bloombloom`は1回の生成あたり0.49米ドル、その他のエフェクトは1回の生成あたり0.28米ドルです。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video_id` | VIDEO | エフェクトが適用された生成済み動画 | -| `duration` | STRING | 生成された動画の一意識別子 | -| `duration` | STRING | 生成された動画の長さ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video_id` | エフェクトが適用された生成済み動画 | VIDEO | +| `duration` | 生成された動画の一意識別子 | STRING | +| `duration` | 生成された動画の長さ | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/ja.md) --- **Source fingerprint (SHA-256):** `519db2f7185f200140c746bdebf89383523e0342bbfb61538adac063295d365d` diff --git a/ja/built-in-nodes/KlingStartEndFrameNode.mdx b/ja/built-in-nodes/KlingStartEndFrameNode.mdx index 86ddaf6d3..e8d3be060 100644 --- a/ja/built-in-nodes/KlingStartEndFrameNode.mdx +++ b/ja/built-in-nodes/KlingStartEndFrameNode.mdx @@ -5,23 +5,21 @@ sidebarTitle: "KlingStartEndFrameNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingStartEndFrameNode/ja.md) - 以下が翻訳結果です。 Kling 開始・終了フレーム動画ノードは、指定された開始画像と終了画像の間を遷移する動画シーケンスを生成します。最初のフレームから最後のフレームへの滑らかな変形を実現するため、中間の全フレームを生成します。このノードは画像から動画へのAPIを呼び出しますが、`image_tail` リクエストフィールドで動作する入力オプションのみをサポートします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `start_frame` | IMAGE | はい | - | 参照画像 - URL または Base64 エンコード文字列。10MB を超えてはならず、解像度は 300×300 ピクセル以上、アスペクト比は 1:2.5 ～ 2.5:1 の範囲内である必要があります。Base64 には data:image プレフィックスを含めないでください。 | -| `end_frame` | IMAGE | はい | - | 参照画像 - 終了フレーム制御用。URL または Base64 エンコード文字列。10MB を超えてはならず、解像度は 300×300 ピクセル以上である必要があります。Base64 には data:image プレフィックスを含めないでください。 | -| `prompt` | STRING | はい | - | ポジティブテキストプロンプト | -| `negative_prompt` | STRING | はい | - | ネガティブテキストプロンプト | -| `cfg_scale` | FLOAT | いいえ | 0.0～1.0 | プロンプトガイダンスの強度を制御します（デフォルト: 0.5） | -| `aspect_ratio` | COMBO | いいえ | "16:9"
"9:16"
"1:1" | 生成される動画のアスペクト比（デフォルト: "16:9"） | -| `mode` | COMBO | いいえ | 複数のオプションから選択可能 | 動画生成に使用する設定。形式: モード / 持続時間 / モデル名。（デフォルト: 利用可能なモードの7番目のオプション） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `start_frame` | 参照画像 - URL または Base64 エンコード文字列。10MB を超えてはならず、解像度は 300×300 ピクセル以上、アスペクト比は 1:2.5 ～ 2.5:1 の範囲内である必要があります。Base64 には data:image プレフィックスを含めないでください。 | IMAGE | はい | - | +| `end_frame` | 参照画像 - 終了フレーム制御用。URL または Base64 エンコード文字列。10MB を超えてはならず、解像度は 300×300 ピクセル以上である必要があります。Base64 には data:image プレフィックスを含めないでください。 | IMAGE | はい | - | +| `prompt` | ポジティブテキストプロンプト | STRING | はい | - | +| `negative_prompt` | ネガティブテキストプロンプト | STRING | はい | - | +| `cfg_scale` | プロンプトガイダンスの強度を制御します（デフォルト: 0.5） | FLOAT | いいえ | 0.0～1.0 | +| `aspect_ratio` | 生成される動画のアスペクト比（デフォルト: "16:9"） | COMBO | いいえ | "16:9"
"9:16"
"1:1" | +| `mode` | 動画生成に使用する設定。形式: モード / 持続時間 / モデル名。（デフォルト: 利用可能なモードの7番目のオプション） | COMBO | いいえ | 複数のオプションから選択可能 | **画像の制約事項:** @@ -32,11 +30,13 @@ Kling 開始・終了フレーム動画ノードは、指定された開始画 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video_id` | VIDEO | 生成された動画シーケンス | -| `duration` | STRING | 生成された動画の一意識別子 | -| `duration` | STRING | 生成された動画の持続時間 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video_id` | 生成された動画シーケンス | VIDEO | +| `duration` | 生成された動画の一意識別子 | STRING | +| `duration` | 生成された動画の持続時間 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingStartEndFrameNode/ja.md) --- **Source fingerprint (SHA-256):** `1df5820b4f41ccd5afec8e2701888d90c940f164c433c7f81397b41e8fc333c6` diff --git a/ja/built-in-nodes/KlingTextToVideoNode.mdx b/ja/built-in-nodes/KlingTextToVideoNode.mdx index 7172b31c4..9d9dfc778 100644 --- a/ja/built-in-nodes/KlingTextToVideoNode.mdx +++ b/ja/built-in-nodes/KlingTextToVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "KlingTextToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoNode/ja.md) - 以下が翻訳結果です。 --- @@ -15,21 +13,23 @@ Kling Text to Video ノードは、テキストによる説明を動画コンテ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | ポジティブテキストプロンプト | -| `ネガティブプロンプト` | STRING | はい | - | ネガティブテキストプロンプト | -| `cfg_scale` | FLOAT | いいえ | 0.0 ～ 1.0 | 設定スケール値（デフォルト：1.0） | -| `アスペクト比` | COMBO | いいえ | KlingVideoGenAspectRatio のオプション | 動画のアスペクト比設定（デフォルト："16:9"） | -| `モード` | COMBO | いいえ | 複数のオプションが利用可能 | 動画生成に使用する設定。形式は mode / duration / model_name に従います。（デフォルト：modes[8]） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | ポジティブテキストプロンプト | STRING | はい | - | +| `ネガティブプロンプト` | ネガティブテキストプロンプト | STRING | はい | - | +| `cfg_scale` | 設定スケール値（デフォルト：1.0） | FLOAT | いいえ | 0.0 ～ 1.0 | +| `アスペクト比` | 動画のアスペクト比設定（デフォルト："16:9"） | COMBO | いいえ | KlingVideoGenAspectRatio のオプション | +| `モード` | 動画生成に使用する設定。形式は mode / duration / model_name に従います。（デフォルト：modes[8]） | COMBO | いいえ | 複数のオプションが利用可能 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video_id` | VIDEO | 生成された動画出力 | -| `継続時間` | STRING | 生成された動画の一意識別子 | -| `duration` | STRING | 生成された動画の長さ情報 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video_id` | 生成された動画出力 | VIDEO | +| `継続時間` | 生成された動画の一意識別子 | STRING | +| `duration` | 生成された動画の長さ情報 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `467f89a47890bfbfe6cebac8897fef3bce37d888d3419b248d13be89bed442f3` diff --git a/ja/built-in-nodes/KlingTextToVideoWithAudio.mdx b/ja/built-in-nodes/KlingTextToVideoWithAudio.mdx index 515eca082..b36c609fe 100644 --- a/ja/built-in-nodes/KlingTextToVideoWithAudio.mdx +++ b/ja/built-in-nodes/KlingTextToVideoWithAudio.mdx @@ -5,8 +5,6 @@ sidebarTitle: "KlingTextToVideoWithAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,20 +12,22 @@ Kling Text to Video with Audio ノードは、テキストによる説明から ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | はい | `"kling-v2-6"` | 動画生成に使用する特定のAIモデル。 | -| `プロンプト` | STRING | はい | - | ポジティブテキストプロンプト。動画生成に使用する説明文です。1文字以上2500文字以下である必要があります。 | -| `モード` | COMBO | はい | `"pro"` | 動画生成の動作モード。 | -| `アスペクト比` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | 生成する動画の幅と高さの比率。 | -| `長さ` | COMBO | はい | `5`
`10` | 動画の長さ（秒単位）。 | -| `音声を生成` | BOOLEAN | いいえ | - | 動画に音声を生成するかどうかを制御します。有効にすると、AIがプロンプトに基づいてサウンドを作成します。（デフォルト: `True`） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_name` | 動画生成に使用する特定のAIモデル。 | COMBO | はい | `"kling-v2-6"` | +| `プロンプト` | ポジティブテキストプロンプト。動画生成に使用する説明文です。1文字以上2500文字以下である必要があります。 | STRING | はい | - | +| `モード` | 動画生成の動作モード。 | COMBO | はい | `"pro"` | +| `アスペクト比` | 生成する動画の幅と高さの比率。 | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | +| `長さ` | 動画の長さ（秒単位）。 | COMBO | はい | `5`
`10` | +| `音声を生成` | 動画に音声を生成するかどうかを制御します。有効にすると、AIがプロンプトに基づいてサウンドを作成します。（デフォルト: `True`） | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/ja.md) --- **Source fingerprint (SHA-256):** `eff4549816c347a090e2f6e8ae8ba832bd2c5b7aef7c729b51c9d72b7a814d5a` diff --git a/ja/built-in-nodes/KlingVideoExtendNode.mdx b/ja/built-in-nodes/KlingVideoExtendNode.mdx index 0293e3b06..2b960bcaf 100644 --- a/ja/built-in-nodes/KlingVideoExtendNode.mdx +++ b/ja/built-in-nodes/KlingVideoExtendNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "KlingVideoExtendNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoExtendNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,22 +13,24 @@ Kling Video Extend ノードは、他の Kling ノードで作成された動画 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | いいえ | - | 動画延長をガイドするためのポジティブテキストプロンプト | -| `negative_prompt` | STRING | いいえ | - | 延長動画で避けたい要素を指定するネガティブテキストプロンプト | -| `cfg_scale` | FLOAT | いいえ | 0.0 - 1.0 | プロンプトガイダンスの強度を制御します（デフォルト：0.5） | -| `video_id` | STRING | はい | - | 延長する動画の ID。テキストから動画、画像から動画、および以前の動画延長操作によって生成された動画に対応しています。延長後の合計再生時間は 3 分を超えることはできません。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | 動画延長をガイドするためのポジティブテキストプロンプト | STRING | いいえ | - | +| `negative_prompt` | 延長動画で避けたい要素を指定するネガティブテキストプロンプト | STRING | いいえ | - | +| `cfg_scale` | プロンプトガイダンスの強度を制御します（デフォルト：0.5） | FLOAT | いいえ | 0.0 - 1.0 | +| `video_id` | 延長する動画の ID。テキストから動画、画像から動画、および以前の動画延長操作によって生成された動画に対応しています。延長後の合計再生時間は 3 分を超えることはできません。 | STRING | はい | - | **注記：** `video_id` は他の Kling ノードで作成された動画を参照する必要があり、延長後の合計再生時間は 3 分を超えることはできません。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video_id` | VIDEO | Kling API によって生成された延長動画 | -| `duration` | STRING | 延長動画の一意の識別子 | -| `duration` | STRING | 延長動画の再生時間 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video_id` | Kling API によって生成された延長動画 | VIDEO | +| `duration` | 延長動画の一意の識別子 | STRING | +| `duration` | 延長動画の再生時間 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoExtendNode/ja.md) --- **Source fingerprint (SHA-256):** `ecef4aedffe83bf384f2f9c3d8840f3fcab4b8c21e6e9afb36e177abb6f069fd` diff --git a/ja/built-in-nodes/KlingVideoNode.mdx b/ja/built-in-nodes/KlingVideoNode.mdx index 2660bf89d..d696b018a 100644 --- a/ja/built-in-nodes/KlingVideoNode.mdx +++ b/ja/built-in-nodes/KlingVideoNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "KlingVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoNode/ja.md) - このノードは、Kling V3モデルを使用して動画を生成します。テキスト説明から動画を作成するテキスト読み取り動画モードと、既存の画像を動かす画像読み取り動画モードの2つの主要モードをサポートしています。また、各パートに異なるプロンプトを使用したマルチセグメント動画（ストーリーボード）の作成や、オプションでオーディオを生成する高度な機能も提供します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `マルチショット` | COMBO | はい | `"無効"`
`"1 ストーリーボード"`
`"2 ストーリーボード"`
`"3 ストーリーボード"`
`"4 ストーリーボード"`
`"5 ストーリーボード"`
`"6 ストーリーボード"` | 単一の動画を生成するか、個別のプロンプトと長さを持つ一連のセグメントを生成するかを制御します。「無効」以外に設定すると、各ストーリーボードのプロンプトと長さの入力が追加で表示されます。 | -| `オーディオ生成` | BOOLEAN | はい | `True` / `False` | 有効にすると、ノードは動画のオーディオを生成します。デフォルトは`True`です。 | -| `モデル` | COMBO | はい | `"kling-v3"` | モデルとその関連設定です。このオプションを選択すると、`resolution`と`aspect_ratio`のサブパラメータが表示されます。 | -| `model.resolution` | COMBO | はい | `"4k"`
`"1080p"`
`"720p"` | 生成される動画の解像度です。この設定は、`モデル`が"kling-v3"に設定されている場合に使用可能です。 | -| `model.aspect_ratio` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | 生成される動画のアスペクト比です。`開始フレーム`に画像が提供されている場合（画像読み取り動画モード）、この設定は無視されます。`モデル`が"kling-v3"に設定されている場合に使用可能です。 | -| `シード` | INT | はい | 0 ～ 2147483647 | 生成のためのシード値です。この値を変更するとノードが再実行されますが、結果は非決定的です。デフォルトは`0`です。 | -| `開始フレーム` | IMAGE | いいえ | - | オプションの開始画像です。接続すると、ノードはテキスト読み取り動画モードから画像読み取り動画モードに切り替わり、提供された画像を動かします。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `マルチショット` | 単一の動画を生成するか、個別のプロンプトと長さを持つ一連のセグメントを生成するかを制御します。「無効」以外に設定すると、各ストーリーボードのプロンプトと長さの入力が追加で表示されます。 | COMBO | はい | `"無効"`
`"1 ストーリーボード"`
`"2 ストーリーボード"`
`"3 ストーリーボード"`
`"4 ストーリーボード"`
`"5 ストーリーボード"`
`"6 ストーリーボード"` | +| `オーディオ生成` | 有効にすると、ノードは動画のオーディオを生成します。デフォルトは`True`です。 | BOOLEAN | はい | `True` / `False` | +| `モデル` | モデルとその関連設定です。このオプションを選択すると、`resolution`と`aspect_ratio`のサブパラメータが表示されます。 | COMBO | はい | `"kling-v3"` | +| `model.resolution` | 生成される動画の解像度です。この設定は、`モデル`が"kling-v3"に設定されている場合に使用可能です。 | COMBO | はい | `"4k"`
`"1080p"`
`"720p"` | +| `model.aspect_ratio` | 生成される動画のアスペクト比です。`開始フレーム`に画像が提供されている場合（画像読み取り動画モード）、この設定は無視されます。`モデル`が"kling-v3"に設定されている場合に使用可能です。 | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | +| `シード` | 生成のためのシード値です。この値を変更するとノードが再実行されますが、結果は非決定的です。デフォルトは`0`です。 | INT | はい | 0 ～ 2147483647 | +| `開始フレーム` | オプションの開始画像です。接続すると、ノードはテキスト読み取り動画モードから画像読み取り動画モードに切り替わり、提供された画像を動かします。 | IMAGE | いいえ | - | **`multi_shot`モードの入力:** @@ -37,9 +35,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video` | VIDEO | 生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video` | 生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `f7f827d657b1d057d273eba3215ce6848d3ea05c5f348e2f3fccccfdd030dfc3` diff --git a/ja/built-in-nodes/KlingVirtualTryOnNode.mdx b/ja/built-in-nodes/KlingVirtualTryOnNode.mdx index c608f7cf2..d44729658 100644 --- a/ja/built-in-nodes/KlingVirtualTryOnNode.mdx +++ b/ja/built-in-nodes/KlingVirtualTryOnNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "KlingVirtualTryOnNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/ja.md) - 以下が翻訳結果です。 --- @@ -15,17 +13,19 @@ Kling バーチャル試着ノード。人物画像と衣服画像を入力し ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `人物画像` | IMAGE | はい | - | 試着を行う人物画像 | -| `服画像` | IMAGE | はい | - | 人物に試着させる衣服画像 | -| `モデル名` | STRING | はい | `"kolors-virtual-try-on-v1"` | 使用するバーチャル試着モデル（デフォルト: "kolors-virtual-try-on-v1"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `人物画像` | 試着を行う人物画像 | IMAGE | はい | - | +| `服画像` | 人物に試着させる衣服画像 | IMAGE | はい | - | +| `モデル名` | 使用するバーチャル試着モデル（デフォルト: "kolors-virtual-try-on-v1"） | STRING | はい | `"kolors-virtual-try-on-v1"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | 衣服を試着した人物が表示された結果画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 衣服を試着した人物が表示された結果画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/ja.md) --- **Source fingerprint (SHA-256):** `bfd0da440d3ad85e15ce16851313f2e75421a8a3eb5e4c651350432955afc731` diff --git a/ja/built-in-nodes/Krea2ImageNode.mdx b/ja/built-in-nodes/Krea2ImageNode.mdx index 78c105ed7..91243659b 100644 --- a/ja/built-in-nodes/Krea2ImageNode.mdx +++ b/ja/built-in-nodes/Krea2ImageNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Krea2ImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2ImageNode/ja.md) - 以下が日本語翻訳です。 ## 概要 @@ -15,23 +13,23 @@ Krea 2 Imageノードは、Krea 2 AIモデルを使用して画像を生成し ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | なし | 画像生成のためのテキストプロンプト。 | -| `モデル` | DICT | はい | 下記参照 | Krea 2 Mediumは表現力豊かなイラストに最適です。Krea 2 Largeは表現力豊かなフォトリアリズムに最適です。 | -| `シード` | INT | はい | 0～2147483647 | 再現性のためのランダムシード（デフォルト：0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 画像生成のためのテキストプロンプト。 | STRING | はい | なし | +| `モデル` | Krea 2 Mediumは表現力豊かなイラストに最適です。Krea 2 Largeは表現力豊かなフォトリアリズムに最適です。 | DICT | はい | 下記参照 | +| `シード` | 再現性のためのランダムシード（デフォルト：0）。 | INT | はい | 0～2147483647 | `model`パラメータは、以下のサブパラメータを持つ辞書です。 -| サブパラメータ | データ型 | 必須 | 範囲 | 説明 | -|---------------|-----------|----------|-------|-------------| -| `モデル` | STRING | はい | `"krea 2 medium"`
`"krea 2 large"` | Krea 2モデルのバリエーションを選択します。 | -| `aspect_ratio` | STRING | はい | なし | 生成画像のアスペクト比。 | -| `resolution` | STRING | はい | なし | 生成画像の解像度。 | -| `creativity` | FLOAT | はい | なし | 生成のクリエイティビティレベルを制御します。 | -| `moodboard_id` | STRING | いいえ | なし | 画像に影響を与えるKreaムードボードのUUID。有効なUUIDである必要があります。 | -| `moodboard_strength` | FLOAT | いいえ | なし | ムードボードの影響の強さ（デフォルト：0.35）。 | -| `style_reference` | LIST | いいえ | 0～10個 | 画像スタイル参照のリスト。各参照には`url`（STRING）と`strength`（FLOAT）が必要です。 | +| サブパラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | Krea 2モデルのバリエーションを選択します。 | STRING | はい | `"krea 2 medium"`
`"krea 2 large"` | +| `aspect_ratio` | 生成画像のアスペクト比。 | STRING | はい | なし | +| `resolution` | 生成画像の解像度。 | STRING | はい | なし | +| `creativity` | 生成のクリエイティビティレベルを制御します。 | FLOAT | はい | なし | +| `moodboard_id` | 画像に影響を与えるKreaムードボードのUUID。有効なUUIDである必要があります。 | STRING | いいえ | なし | +| `moodboard_strength` | ムードボードの影響の強さ（デフォルト：0.35）。 | FLOAT | いいえ | なし | +| `style_reference` | 画像スタイル参照のリスト。各参照には`url`（STRING）と`strength`（FLOAT）が必要です。 | LIST | いいえ | 0～10個 | **制約事項：** - `moodboard_id`は有効なUUID（例：`"123e4567-e89b-12d3-a456-426614174000"`）である必要があります。Kreaウェブサイトからコピーしてください。 @@ -40,9 +38,11 @@ Krea 2 Imageノードは、Krea 2 AIモデルを使用して画像を生成し ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | 生成された画像をテンソルとして出力します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 生成された画像をテンソルとして出力します。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2ImageNode/ja.md) --- **Source fingerprint (SHA-256):** `6aeb2d935ef5df5699a19271c9ceb766892ef4b0e4f67bfa540bf12ffadf362d` diff --git a/ja/built-in-nodes/Krea2StyleReferenceNode.mdx b/ja/built-in-nodes/Krea2StyleReferenceNode.mdx index ba170dcb9..17497fa86 100644 --- a/ja/built-in-nodes/Krea2StyleReferenceNode.mdx +++ b/ja/built-in-nodes/Krea2StyleReferenceNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "Krea2StyleReferenceNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2StyleReferenceNode/ja.md) - ## 概要 Krea 2 スタイル参照ノードを使用すると、参照画像を追加して Krea 2 の画像生成のスタイルに影響を与えることができます。複数のスタイル参照をチェーン接続（最大10個まで）し、結合した結果を Krea 2 画像ノードに入力できます。提供された各画像は ComfyAPI ストレージにアップロードされ、URL として渡されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 生成にスタイルの影響を与える参照画像です。 | -| `強度` | FLOAT | はい | -2.0 ～ 2.0（ステップ：0.05） | 参照の強度です。負の値を指定するとスタイルの影響が反転します（デフォルト：1.0）。 | -| `スタイル参照` | STYLE_REF | いいえ | - | オプションの入力チェーンとなるスタイル参照です。このノードはさらに1つ追加します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 生成にスタイルの影響を与える参照画像です。 | IMAGE | はい | - | +| `強度` | 参照の強度です。負の値を指定するとスタイルの影響が反転します（デフォルト：1.0）。 | FLOAT | はい | -2.0 ～ 2.0（ステップ：0.05） | +| `スタイル参照` | オプションの入力チェーンとなるスタイル参照です。このノードはさらに1つ追加します。 | STYLE_REF | いいえ | - | **制約に関する注意事項：** チェーン接続できるスタイル参照は最大10個までです。11個目の参照を追加しようとすると、ノードはエラーを発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `スタイル参照` | STYLE_REF | 各エントリにURLと強度値を含むスタイル参照エントリのリストです。この出力を Krea 2 画像ノードに入力します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `スタイル参照` | 各エントリにURLと強度値を含むスタイル参照エントリのリストです。この出力を Krea 2 画像ノードに入力します。 | STYLE_REF | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2StyleReferenceNode/ja.md) --- **Source fingerprint (SHA-256):** `7f87568a1cd5038571f3188cfb1d71e15533ea19eee01d7826fe574a1a4dc88d` diff --git a/ja/built-in-nodes/LTXAVTextEncoderLoader.mdx b/ja/built-in-nodes/LTXAVTextEncoderLoader.mdx index 584c3afe8..1e31d6964 100644 --- a/ja/built-in-nodes/LTXAVTextEncoderLoader.mdx +++ b/ja/built-in-nodes/LTXAVTextEncoderLoader.mdx @@ -5,25 +5,25 @@ sidebarTitle: "LTXAVTextEncoderLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/ja.md) - このノードは、LTXVオーディオモデル用の特殊なテキストエンコーダを読み込みます。特定のテキストエンコーダファイルとチェックポイントファイルを組み合わせて、オーディオ関連のテキスト条件付けタスクに使用できるCLIPモデルを作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `text_encoder` | STRING | はい | 複数のオプションから選択可能 | 読み込むLTXVテキストエンコーダモデルのファイル名です。利用可能なオプションは `text_encoders` フォルダから読み込まれます。 | -| `ckpt_name` | STRING | はい | 複数のオプションから選択可能 | 読み込むチェックポイントのファイル名です。利用可能なオプションは `checkpoints` フォルダから読み込まれます。 | -| `device` | STRING | いいえ | `"default"`
`"cpu"` | モデルを読み込むデバイスを指定します。`"cpu"` を指定すると強制的にCPUに読み込まれます。デフォルトの動作（`"default"`）では、システムの自動デバイス配置が使用されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `text_encoder` | 読み込むLTXVテキストエンコーダモデルのファイル名です。利用可能なオプションは `text_encoders` フォルダから読み込まれます。 | STRING | はい | 複数のオプションから選択可能 | +| `ckpt_name` | 読み込むチェックポイントのファイル名です。利用可能なオプションは `checkpoints` フォルダから読み込まれます。 | STRING | はい | 複数のオプションから選択可能 | +| `device` | モデルを読み込むデバイスを指定します。`"cpu"` を指定すると強制的にCPUに読み込まれます。デフォルトの動作（`"default"`）では、システムの自動デバイス配置が使用されます。 | STRING | いいえ | `"default"`
`"cpu"` | **注記:** `text_encoder` パラメータと `ckpt_name` パラメータは連携して動作します。このノードは指定された両方のファイルを読み込み、単一の機能的なCLIPモデルを作成します。これらのファイルはLTXVアーキテクチャと互換性がある必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `clip` | CLIP | 読み込まれたLTXV CLIPモデルです。オーディオ生成用のテキストプロンプトをエンコードするために使用できます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `clip` | 読み込まれたLTXV CLIPモデルです。オーディオ生成用のテキストプロンプトをエンコードするために使用できます。 | CLIP | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/ja.md) --- **Source fingerprint (SHA-256):** `c072a0b3393aa44333bb15ae42179c50868a4e9d7ca706d6c7da5922625373e6` diff --git a/ja/built-in-nodes/LTXVAddGuide.mdx b/ja/built-in-nodes/LTXVAddGuide.mdx index 2d1ada22e..1ce89b081 100644 --- a/ja/built-in-nodes/LTXVAddGuide.mdx +++ b/ja/built-in-nodes/LTXVAddGuide.mdx @@ -5,33 +5,33 @@ sidebarTitle: "LTXVAddGuide" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAddGuide/ja.md) - 以下は、提供された英語ドキュメントを日本語に翻訳したものです。 LTXVAddGuide ノードは、入力画像または動画をエンコードし、それらをキーフレームとして条件付けデータに組み込むことで、潜在シーケンスに動画条件付けガイダンスを追加します。このノードは、VAEエンコーダーを通じて入力を処理し、結果の潜在表現を指定されたフレーム位置に戦略的に配置するとともに、キーフレーム情報でポジティブ条件付けとネガティブ条件付けの両方を更新します。また、フレーム位置合わせの制約を処理し、条件付けの影響の強さを制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | キーフレームガイダンスで変更されるポジティブ条件付け入力 | -| `ネガティブ` | CONDITIONING | はい | - | キーフレームガイダンスで変更されるネガティブ条件付け入力 | -| `vae` | VAE | はい | - | 入力画像/動画フレームのエンコードに使用されるVAEモデル | -| `潜在` | LATENT | はい | - | 条件付けフレームを受け取る入力潜在シーケンス | -| `画像` | IMAGE | はい | - | 潜在動画を条件付けるための画像または動画。フレーム数は8*n + 1である必要があります。動画が8*n + 1フレームでない場合、最も近い8*n + 1フレームに切り詰められます。 | -| `フレームインデックス` | INT | いいえ | -9999 ～ 9999 | 条件付けを開始するフレームインデックス。単一フレーム画像または1～8フレームの動画の場合、任意のframe_idx値が許容されます。9フレーム以上の動画の場合、frame_idxは8で割り切れる必要があります。そうでない場合、最も近い8の倍数に切り捨てられます。負の値は動画の末尾からカウントされます。（デフォルト：0） | -| `強度` | FLOAT | いいえ | 0.0 ～ 1.0 | 条件付けの影響の強さ。1.0は完全な条件付けを適用し、0.0は条件付けを適用しません。（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | キーフレームガイダンスで変更されるポジティブ条件付け入力 | CONDITIONING | はい | - | +| `ネガティブ` | キーフレームガイダンスで変更されるネガティブ条件付け入力 | CONDITIONING | はい | - | +| `vae` | 入力画像/動画フレームのエンコードに使用されるVAEモデル | VAE | はい | - | +| `潜在` | 条件付けフレームを受け取る入力潜在シーケンス | LATENT | はい | - | +| `画像` | 潜在動画を条件付けるための画像または動画。フレーム数は8*n + 1である必要があります。動画が8*n + 1フレームでない場合、最も近い8*n + 1フレームに切り詰められます。 | IMAGE | はい | - | +| `フレームインデックス` | 条件付けを開始するフレームインデックス。単一フレーム画像または1～8フレームの動画の場合、任意のframe_idx値が許容されます。9フレーム以上の動画の場合、frame_idxは8で割り切れる必要があります。そうでない場合、最も近い8の倍数に切り捨てられます。負の値は動画の末尾からカウントされます。（デフォルト：0） | INT | いいえ | -9999 ～ 9999 | +| `強度` | 条件付けの影響の強さ。1.0は完全な条件付けを適用し、0.0は条件付けを適用しません。（デフォルト：1.0） | FLOAT | いいえ | 0.0 ～ 1.0 | **注記：** 入力画像/動画のフレーム数は、8*n + 1のパターン（例：1、9、17、25フレーム）に従う必要があります。入力がこのパターンを超える場合、自動的に最も近い有効なフレーム数に切り詰められます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | キーフレームガイダンス情報で更新されたポジティブ条件付け | -| `潜在` | CONDITIONING | キーフレームガイダンス情報で更新されたネガティブ条件付け | -| `潜在` | LATENT | 条件付けフレームと更新されたノイズマスクが組み込まれた潜在シーケンス | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | キーフレームガイダンス情報で更新されたポジティブ条件付け | CONDITIONING | +| `潜在` | キーフレームガイダンス情報で更新されたネガティブ条件付け | CONDITIONING | +| `潜在` | 条件付けフレームと更新されたノイズマスクが組み込まれた潜在シーケンス | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAddGuide/ja.md) --- **Source fingerprint (SHA-256):** `e7f4e6ed25cddd4b50b98341c63fc9915afc4956317ac7a5a9121fdc53c03a2d` diff --git a/ja/built-in-nodes/LTXVAudioVAEDecode.mdx b/ja/built-in-nodes/LTXVAudioVAEDecode.mdx index 4cfec9972..35b2c0fc4 100644 --- a/ja/built-in-nodes/LTXVAudioVAEDecode.mdx +++ b/ja/built-in-nodes/LTXVAudioVAEDecode.mdx @@ -5,26 +5,26 @@ sidebarTitle: "LTXVAudioVAEDecode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/en.md) LTXV Audio VAE Decodeノードは、音声の潜在表現をオーディオ波形に戻す処理を行います。専用のAudio VAEモデルを使用してこのデコード処理を実行し、特定のサンプルレートを持つオーディオ出力を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | はい | なし | デコード対象の潜在表現。 | -| `audio_vae` | VAE | はい | なし | 潜在表現のデコードに使用するAudio VAEモデル。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `samples` | デコード対象の潜在表現。 | LATENT | はい | なし | +| `audio_vae` | 潜在表現のデコードに使用するAudio VAEモデル。 | VAE | はい | なし | **注意：** 入力された潜在表現がネストされている（複数の潜在表現を含む）場合、ノードは自動的にシーケンス内の最後の潜在表現を使用してデコードを行います。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `Audio` | AUDIO | デコードされたオーディオ波形と、それに関連付けられたサンプルレート。波形は入力された潜在表現と同じデバイスに移動されたテンソルであり、サンプルレートはAudio VAEモデルによって決定されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `Audio` | デコードされたオーディオ波形と、それに関連付けられたサンプルレート。波形は入力された潜在表現と同じデバイスに移動されたテンソルであり、サンプルレートはAudio VAEモデルによって決定されます。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/ja.md) --- **Source fingerprint (SHA-256):** `e9df1da8ca0424cfc7ce97951e65154df845d98c3b73f76725fa657d851a3a07` diff --git a/ja/built-in-nodes/LTXVAudioVAEEncode.mdx b/ja/built-in-nodes/LTXVAudioVAEEncode.mdx index 826848478..f5756d670 100644 --- a/ja/built-in-nodes/LTXVAudioVAEEncode.mdx +++ b/ja/built-in-nodes/LTXVAudioVAEEncode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "LTXVAudioVAEEncode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEEncode/ja.md) - 以下が翻訳結果です。 LTXV Audio VAE Encode ノードは、オーディオ入力を受け取り、指定された Audio VAE モデルを使用して、より小さな潜在表現に圧縮します。この処理は、潜在空間ワークフロー内でオーディオを生成または操作するために不可欠であり、生のオーディオデータをパイプライン内の他のノードが理解・処理できる形式に変換します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | はい | - | エンコードするオーディオです。 | -| `audio_vae` | VAE | はい | - | エンコードに使用する Audio VAE モデルです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `audio` | エンコードするオーディオです。 | AUDIO | はい | - | +| `audio_vae` | エンコードに使用する Audio VAE モデルです。 | VAE | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `Audio Latent` | LATENT | 入力オーディオの圧縮された潜在表現です。出力には、潜在サンプル、VAE モデルのサンプルレート、およびタイプ識別子が含まれます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `Audio Latent` | 入力オーディオの圧縮された潜在表現です。出力には、潜在サンプル、VAE モデルのサンプルレート、およびタイプ識別子が含まれます。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEEncode/ja.md) --- **Source fingerprint (SHA-256):** `fc10d8bbdca5150b7c87adb52960b8690397c3d003c89f9ec6a8410c541a347f` diff --git a/ja/built-in-nodes/LTXVAudioVAELoader.mdx b/ja/built-in-nodes/LTXVAudioVAELoader.mdx index 634390e63..d1d2d11fa 100644 --- a/ja/built-in-nodes/LTXVAudioVAELoader.mdx +++ b/ja/built-in-nodes/LTXVAudioVAELoader.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LTXVAudioVAELoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAELoader/ja.md) - 以下が翻訳結果です。 --- @@ -15,15 +13,17 @@ LTXV Audio VAE Loader ノードは、チェックポイントファイルから ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ckpt_name` | STRING | はい | `checkpoints` フォルダ内のすべてのファイル。
*例：`"audio_vae.safetensors"`* | 読み込む Audio VAE チェックポイントです。ComfyUI の `checkpoints` ディレクトリにあるすべてのファイルから選択できるドロップダウンリストです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ckpt_name` | 読み込む Audio VAE チェックポイントです。ComfyUI の `checkpoints` ディレクトリにあるすべてのファイルから選択できるドロップダウンリストです。 | STRING | はい | `checkpoints` フォルダ内のすべてのファイル。
*例：`"audio_vae.safetensors"`* | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| Audio VAE | VAE | 読み込まれた Audio Variational Autoencoder モデルです。他の音声処理ノードに接続する準備が整っています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| Audio VAE | 読み込まれた Audio Variational Autoencoder モデルです。他の音声処理ノードに接続する準備が整っています。 | VAE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAELoader/ja.md) --- **Source fingerprint (SHA-256):** `44e79f694eed796a83f3ac25c56946baaa12b016568bd8824eb179bf79e50588` diff --git a/ja/built-in-nodes/LTXVConcatAVLatent.mdx b/ja/built-in-nodes/LTXVConcatAVLatent.mdx index fa8c45b38..2123a3d26 100644 --- a/ja/built-in-nodes/LTXVConcatAVLatent.mdx +++ b/ja/built-in-nodes/LTXVConcatAVLatent.mdx @@ -5,26 +5,26 @@ sidebarTitle: "LTXVConcatAVLatent" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConcatAVLatent/ja.md) - 以下が翻訳結果です。 LTXVConcatAVLatentノードは、ビデオ潜在表現とオーディオ潜在表現を結合し、単一の連結された潜在出力を生成します。両方の入力からの`samples`テンソルをマージし、存在する場合はそれらの`noise_mask`テンソルも同様にマージして、ビデオ生成パイプラインでのさらなる処理に備えます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `video_latent` | LATENT | はい | | ビデオデータの潜在表現です。 | -| `audio_latent` | LATENT | はい | | オーディオデータの潜在表現です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `video_latent` | ビデオデータの潜在表現です。 | LATENT | はい | | +| `audio_latent` | オーディオデータの潜在表現です。 | LATENT | はい | | **注記:** `video_latent`と`audio_latent`の入力からの`samples`テンソルは連結されます。いずれかの入力に`noise_mask`が含まれている場合はそれが使用され、一方が欠けている場合は、対応する`samples`と同じ形状の1のマスクが作成されます。結果として得られるマスクも同様に連結されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `latent` | LATENT | ビデオとオーディオの入力から連結された`samples`と、該当する場合は連結された`noise_mask`を含む単一の潜在辞書です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `latent` | ビデオとオーディオの入力から連結された`samples`と、該当する場合は連結された`noise_mask`を含む単一の潜在辞書です。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConcatAVLatent/ja.md) --- **Source fingerprint (SHA-256):** `322d6870f110fb1ef8b472cb49649cc9fff7865f4c7a83fbfd536f1fdfd694f8` diff --git a/ja/built-in-nodes/LTXVConditioning.mdx b/ja/built-in-nodes/LTXVConditioning.mdx index 1c3118ce5..321bd2586 100644 --- a/ja/built-in-nodes/LTXVConditioning.mdx +++ b/ja/built-in-nodes/LTXVConditioning.mdx @@ -5,26 +5,26 @@ sidebarTitle: "LTXVConditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConditioning/ja.md) - 以下は、ご指定の翻訳ルールに従った日本語訳です。 LTXVConditioning ノードは、動画生成モデル向けに、ポジティブおよびネガティブの両方の conditioning 入力にフレームレート情報を追加します。既存の conditioning データを受け取り、指定されたフレームレート値を両方の conditioning セットに適用することで、動画モデルの処理に適した状態にします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | フレームレート情報を受け取るポジティブ conditioning 入力 | -| `ネガティブ` | CONDITIONING | はい | - | フレームレート情報を受け取るネガティブ conditioning 入力 | -| `フレームレート` | FLOAT | はい | 0.0 - 1000.0 | 両方の conditioning セットに適用するフレームレート値（デフォルト：25.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | フレームレート情報を受け取るポジティブ conditioning 入力 | CONDITIONING | はい | - | +| `ネガティブ` | フレームレート情報を受け取るネガティブ conditioning 入力 | CONDITIONING | はい | - | +| `フレームレート` | 両方の conditioning セットに適用するフレームレート値（デフォルト：25.0） | FLOAT | はい | 0.0 - 1000.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | フレームレート情報が適用されたポジティブ conditioning | -| `ネガティブ` | CONDITIONING | フレームレート情報が適用されたネガティブ conditioning | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | フレームレート情報が適用されたポジティブ conditioning | CONDITIONING | +| `ネガティブ` | フレームレート情報が適用されたネガティブ conditioning | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConditioning/ja.md) --- **Source fingerprint (SHA-256):** `e8c18b73eb009c1b3ebcc2cb8be3dee4e065d75908607a5cf15d41f89963ee09` diff --git a/ja/built-in-nodes/LTXVCropGuides.mdx b/ja/built-in-nodes/LTXVCropGuides.mdx index 67c638a8b..54315854b 100644 --- a/ja/built-in-nodes/LTXVCropGuides.mdx +++ b/ja/built-in-nodes/LTXVCropGuides.mdx @@ -5,25 +5,25 @@ sidebarTitle: "LTXVCropGuides" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVCropGuides/ja.md) - LTXVCropGuides ノードは、キーフレーム情報を除去し、潜在空間の次元を調整することで、動画生成のための条件付け入力と潜在入力を処理します。潜在画像とノイズマスクをクロップしてキーフレーム部分を除外し、ポジティブ条件付けとネガティブ条件付けの両方からキーフレームインデックスをクリアします。これにより、キーフレームガイダンスを必要としない動画生成ワークフロー向けにデータを準備します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 生成のためのガイダンス情報を含むポジティブ条件付け入力 | -| `ネガティブ` | CONDITIONING | はい | - | 生成で避けるべきガイダンス情報を含むネガティブ条件付け入力 | -| `潜在` | LATENT | はい | - | 画像サンプルとノイズマスクデータを含む潜在表現 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 生成のためのガイダンス情報を含むポジティブ条件付け入力 | CONDITIONING | はい | - | +| `ネガティブ` | 生成で避けるべきガイダンス情報を含むネガティブ条件付け入力 | CONDITIONING | はい | - | +| `潜在` | 画像サンプルとノイズマスクデータを含む潜在表現 | LATENT | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | キーフレームインデックスとガイドアテンションエントリがクリアされた、処理済みのポジティブ条件付け | -| `潜在` | CONDITIONING | キーフレームインデックスとガイドアテンションエントリがクリアされた、処理済みのネガティブ条件付け | -| `潜在` | LATENT | キーフレーム部分が除去され、サンプルとノイズマスクが調整された、クロップ済みの潜在表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | キーフレームインデックスとガイドアテンションエントリがクリアされた、処理済みのポジティブ条件付け | CONDITIONING | +| `潜在` | キーフレームインデックスとガイドアテンションエントリがクリアされた、処理済みのネガティブ条件付け | CONDITIONING | +| `潜在` | キーフレーム部分が除去され、サンプルとノイズマスクが調整された、クロップ済みの潜在表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVCropGuides/ja.md) --- **Source fingerprint (SHA-256):** `029309c260e09221cc9a046897589d99498f6e8ad984ef6052e50be9a0ea7b6d` diff --git a/ja/built-in-nodes/LTXVEmptyLatentAudio.mdx b/ja/built-in-nodes/LTXVEmptyLatentAudio.mdx index 015c8575e..33dcdf695 100644 --- a/ja/built-in-nodes/LTXVEmptyLatentAudio.mdx +++ b/ja/built-in-nodes/LTXVEmptyLatentAudio.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LTXVEmptyLatentAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVEmptyLatentAudio/ja.md) - 以下が翻訳結果です。 --- @@ -15,20 +13,22 @@ LTXV Empty Latent Audio ノードは、空（ゼロで埋められた）潜在 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `frames_number` | INT | はい | 1 ～ 1000 | フレーム数。デフォルト値は 97 です。 | -| `frame_rate` | INT | はい | 1 ～ 1000 | 1 秒あたりのフレーム数。デフォルト値は 25 です。 | -| `batch_size` | INT | はい | 1 ～ 4096 | バッチ内の潜在オーディオサンプル数。デフォルト値は 1 です。 | -| `audio_vae` | VAE | はい | なし | 設定を取得するための Audio VAE モデル。このパラメータは必須です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `frames_number` | フレーム数。デフォルト値は 97 です。 | INT | はい | 1 ～ 1000 | +| `frame_rate` | 1 秒あたりのフレーム数。デフォルト値は 25 です。 | INT | はい | 1 ～ 1000 | +| `batch_size` | バッチ内の潜在オーディオサンプル数。デフォルト値は 1 です。 | INT | はい | 1 ～ 4096 | +| `audio_vae` | 設定を取得するための Audio VAE モデル。このパラメータは必須です。 | VAE | はい | なし | **注意:** `audio_vae` 入力は必須です。この入力が提供されない場合、ノードはエラーを発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `Latent` | LATENT | 入力された Audio VAE に一致するように構成された、構造 (batch_size, z_channels, num_audio_latents, audio_freq) を持つ空の潜在オーディオテンソル。出力には、"audio" に設定された `type` フィールドも含まれます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `Latent` | 入力された Audio VAE に一致するように構成された、構造 (batch_size, z_channels, num_audio_latents, audio_freq) を持つ空の潜在オーディオテンソル。出力には、"audio" に設定された `type` フィールドも含まれます。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVEmptyLatentAudio/ja.md) --- **Source fingerprint (SHA-256):** `1a8bfea98f14de014069016652b39542cfd9290cae2d870ab4e381e46aa1e08f` diff --git a/ja/built-in-nodes/LTXVImgToVideo.mdx b/ja/built-in-nodes/LTXVImgToVideo.mdx index 3c0352081..aaba55b6d 100644 --- a/ja/built-in-nodes/LTXVImgToVideo.mdx +++ b/ja/built-in-nodes/LTXVImgToVideo.mdx @@ -5,33 +5,33 @@ sidebarTitle: "LTXVImgToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideo/ja.md) - 以下が翻訳結果です。 LTXVImgToVideo ノードは、入力画像を動画生成モデル用の動画潜在表現に変換します。単一の画像を受け取り、VAE エンコーダを使用して一連のフレームに拡張し、強度制御による条件付けを適用して、動画生成中に元の画像コンテンツがどの程度保持されるか、または変更されるかを決定します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 動画生成をガイドするためのポジティブ条件付けプロンプト | -| `ネガティブ` | CONDITIONING | はい | - | 動画内で特定の要素を避けるためのネガティブ条件付けプロンプト | -| `vae` | VAE | はい | - | 入力画像を潜在空間にエンコードするために使用される VAE モデル | -| `画像` | IMAGE | はい | - | 動画フレームに変換される入力画像 | -| `幅` | INT | いいえ | 64 から MAX_RESOLUTION | 出力動画の幅（ピクセル単位、デフォルト: 768、ステップ: 32） | -| `高さ` | INT | いいえ | 64 から MAX_RESOLUTION | 出力動画の高さ（ピクセル単位、デフォルト: 512、ステップ: 32） | -| `長さ` | INT | いいえ | 9 から MAX_RESOLUTION | 生成される動画のフレーム数（デフォルト: 97、ステップ: 8） | -| `バッチサイズ` | INT | いいえ | 1 から 4096 | 同時に生成する動画の数（デフォルト: 1） | -| `強度` | FLOAT | いいえ | 0.0 から 1.0 | 生成された動画の最初のフレームで元の画像コンテンツがどの程度保持されるかを制御します。値 1.0 は元の画像を完全に保持し、0.0 は最大限の変更を許可します（デフォルト: 1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 動画生成をガイドするためのポジティブ条件付けプロンプト | CONDITIONING | はい | - | +| `ネガティブ` | 動画内で特定の要素を避けるためのネガティブ条件付けプロンプト | CONDITIONING | はい | - | +| `vae` | 入力画像を潜在空間にエンコードするために使用される VAE モデル | VAE | はい | - | +| `画像` | 動画フレームに変換される入力画像 | IMAGE | はい | - | +| `幅` | 出力動画の幅（ピクセル単位、デフォルト: 768、ステップ: 32） | INT | いいえ | 64 から MAX_RESOLUTION | +| `高さ` | 出力動画の高さ（ピクセル単位、デフォルト: 512、ステップ: 32） | INT | いいえ | 64 から MAX_RESOLUTION | +| `長さ` | 生成される動画のフレーム数（デフォルト: 97、ステップ: 8） | INT | いいえ | 9 から MAX_RESOLUTION | +| `バッチサイズ` | 同時に生成する動画の数（デフォルト: 1） | INT | いいえ | 1 から 4096 | +| `強度` | 生成された動画の最初のフレームで元の画像コンテンツがどの程度保持されるかを制御します。値 1.0 は元の画像を完全に保持し、0.0 は最大限の変更を許可します（デフォルト: 1.0） | FLOAT | いいえ | 0.0 から 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 動画フレームマスキングが適用された処理済みポジティブ条件付け | -| `潜在` | CONDITIONING | 動画フレームマスキングが適用された処理済みネガティブ条件付け | -| `latent` | LATENT | エンコードされたフレームと動画生成用のノイズマスクを含む動画潜在表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 動画フレームマスキングが適用された処理済みポジティブ条件付け | CONDITIONING | +| `潜在` | 動画フレームマスキングが適用された処理済みネガティブ条件付け | CONDITIONING | +| `latent` | エンコードされたフレームと動画生成用のノイズマスクを含む動画潜在表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideo/ja.md) --- **Source fingerprint (SHA-256):** `fbd35623cd71bf917f39108d388986c9604138fbfb9380bdf936deff6d775cb9` diff --git a/ja/built-in-nodes/LTXVImgToVideoInplace.mdx b/ja/built-in-nodes/LTXVImgToVideoInplace.mdx index d5be89dc5..4af736495 100644 --- a/ja/built-in-nodes/LTXVImgToVideoInplace.mdx +++ b/ja/built-in-nodes/LTXVImgToVideoInplace.mdx @@ -5,29 +5,29 @@ sidebarTitle: "LTXVImgToVideoInplace" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideoInplace/ja.md) - 以下が翻訳結果です。 LTXVImgToVideoInplace ノードは、入力画像を初期フレームにエンコードすることで、ビデオ潜在表現を条件付けします。このノードは、VAE を使用して画像を潜在空間にエンコードし、指定された強度に基づいて既存の潜在サンプルとブレンドすることで機能します。これにより、画像をビデオ生成の開始点または条件付け信号として使用できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `vae` | VAE | はい | - | 入力画像を潜在空間にエンコードするために使用される VAE モデル。 | -| `画像` | IMAGE | はい | - | エンコードされ、ビデオ潜在表現の条件付けに使用される入力画像。 | -| `latent` | LATENT | はい | - | 変更対象のターゲットビデオ潜在表現。 | -| `強度` | FLOAT | いいえ | 0.0 - 1.0 | エンコードされた画像を潜在表現にブレンドする強度を制御します。1.0 の値は初期フレームを完全に置き換え、より低い値はブレンドします。（デフォルト：1.0） | -| `バイパス` | BOOLEAN | いいえ | - | 条件付けをバイパスします。有効にすると、ノードは入力された潜在表現を変更せずに返します。（デフォルト：False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `vae` | 入力画像を潜在空間にエンコードするために使用される VAE モデル。 | VAE | はい | - | +| `画像` | エンコードされ、ビデオ潜在表現の条件付けに使用される入力画像。 | IMAGE | はい | - | +| `latent` | 変更対象のターゲットビデオ潜在表現。 | LATENT | はい | - | +| `強度` | エンコードされた画像を潜在表現にブレンドする強度を制御します。1.0 の値は初期フレームを完全に置き換え、より低い値はブレンドします。（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 1.0 | +| `バイパス` | 条件付けをバイパスします。有効にすると、ノードは入力された潜在表現を変更せずに返します。（デフォルト：False） | BOOLEAN | いいえ | - | **注記：** `image` は、`latent` 入力の幅と高さに基づいて、`vae` によるエンコードに必要な空間次元に自動的にリサイズされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `latent` | LATENT | 変更されたビデオ潜在表現。更新されたサンプルと、初期フレームに条件付け強度を適用する `noise_mask` が含まれます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 変更されたビデオ潜在表現。更新されたサンプルと、初期フレームに条件付け強度を適用する `noise_mask` が含まれます。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideoInplace/ja.md) --- **Source fingerprint (SHA-256):** `49df511591071f51e2b86f2302cfb438d18b5e1ade7ef228345f65fddf88dbcc` diff --git a/ja/built-in-nodes/LTXVLatentUpsampler.mdx b/ja/built-in-nodes/LTXVLatentUpsampler.mdx index 3449058b2..79df036bc 100644 --- a/ja/built-in-nodes/LTXVLatentUpsampler.mdx +++ b/ja/built-in-nodes/LTXVLatentUpsampler.mdx @@ -5,25 +5,25 @@ sidebarTitle: "LTXVLatentUpsampler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVLatentUpsampler/ja.md) - 以下が翻訳結果です。 LTXVLatentUpsampler ノードは、ビデオの潜在表現の空間解像度を2倍に拡大します。専用のアップスケールモデルを使用して潜在データを処理し、まず非正規化を行った後、指定されたVAEのチャンネル統計情報を用いて再正規化を実行します。このノードは、潜在空間内でのビデオワークフロー向けに設計されています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サンプル` | LATENT | はい | | アップスケールするビデオの入力潜在表現です。 | -| `アップスケールモデル` | LATENT_UPSCALE_MODEL | はい | | 潜在データに対して2倍のアップスケーリングを実行するために使用される、読み込まれたモデルです。 | -| `vae` | VAE | はい | | アップスケール前に入力潜在表現を非正規化し、アップスケール後に出力潜在表現を正規化するために使用されるVAEモデルです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サンプル` | アップスケールするビデオの入力潜在表現です。 | LATENT | はい | | +| `アップスケールモデル` | 潜在データに対して2倍のアップスケーリングを実行するために使用される、読み込まれたモデルです。 | LATENT_UPSCALE_MODEL | はい | | +| `vae` | アップスケール前に入力潜在表現を非正規化し、アップスケール後に出力潜在表現を正規化するために使用されるVAEモデルです。 | VAE | はい | | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `LATENT` | LATENT | 入力と比較して空間次元が2倍になった、アップスケールされた潜在表現です。出力の潜在表現は、入力と同じバッチサイズ、チャンネル数、および時間長を保持します。入力に`noise_mask`が存在する場合は、出力から削除されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `LATENT` | 入力と比較して空間次元が2倍になった、アップスケールされた潜在表現です。出力の潜在表現は、入力と同じバッチサイズ、チャンネル数、および時間長を保持します。入力に`noise_mask`が存在する場合は、出力から削除されます。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVLatentUpsampler/ja.md) --- **Source fingerprint (SHA-256):** `b2c726d3a3e4881eee7e1d3bae8c478adf01cd87a9652be882579f4e26c1536f` diff --git a/ja/built-in-nodes/LTXVPreprocess.mdx b/ja/built-in-nodes/LTXVPreprocess.mdx index 5edfc5237..d68dbdd25 100644 --- a/ja/built-in-nodes/LTXVPreprocess.mdx +++ b/ja/built-in-nodes/LTXVPreprocess.mdx @@ -5,24 +5,24 @@ sidebarTitle: "LTXVPreprocess" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVPreprocess/ja.md) - 以下が翻訳結果です。 LTXVPreprocess ノードは、画像に圧縮前処理を適用します。入力画像を受け取り、指定された圧縮レベルで処理を行い、適用された圧縮設定とともに処理済み画像を出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 処理対象の入力画像 | -| `画像圧縮` | INT | いいえ | 0-100 | 画像に適用する圧縮量（デフォルト: 35） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 処理対象の入力画像 | IMAGE | はい | - | +| `画像圧縮` | 画像に適用する圧縮量（デフォルト: 35） | INT | いいえ | 0-100 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output_image` | IMAGE | 圧縮が適用された処理済みの出力画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output_image` | 圧縮が適用された処理済みの出力画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVPreprocess/ja.md) --- **Source fingerprint (SHA-256):** `2c5fbde5d011bdf3313ca05508f58a13eaae0bdff12f3659fef281c0045e480d` diff --git a/ja/built-in-nodes/LTXVReferenceAudio.mdx b/ja/built-in-nodes/LTXVReferenceAudio.mdx index 2158e9207..ede109b7f 100644 --- a/ja/built-in-nodes/LTXVReferenceAudio.mdx +++ b/ja/built-in-nodes/LTXVReferenceAudio.mdx @@ -5,32 +5,32 @@ sidebarTitle: "LTXVReferenceAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVReferenceAudio/ja.md) - 以下が翻訳結果です。 LTXV リファレンスオーディオノードは、音声生成における話者同一性の転送に使用されます。リファレンスとなるオーディオクリップをモデルの条件付け（コンディショニング）にエンコードし、生成される音声がその話者の声の特徴を採用できるようにします。また、同一性ガイダンスを適用することも可能で、これにより追加の処理ステップを実行して話者同一性の効果を増幅します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 同一性ガイダンスでパッチ適用されるモデル。 | -| `positive` | CONDITIONING | はい | - | ポジティブな条件付け入力。 | -| `negative` | CONDITIONING | はい | - | ネガティブな条件付け入力。 | -| `reference_audio` | AUDIO | はい | - | 話者同一性を転送するリファレンスオーディオクリップ。約5秒（トレーニング期間）を推奨します。これより短い、または長いクリップでは、音声同一性の転送が低下する可能性があります。 | -| `audio_vae` | VAE | はい | - | リファレンスオーディオをエンコードするためのLTXV Audio VAE。 | -| `identity_guidance_scale` | FLOAT | いいえ | 0.0 - 100.0 | 同一性ガイダンスの強さ。リファレンスなしで追加のフォワードパスを各ステップで実行し、話者同一性を増幅します。0に設定すると無効になります（追加パスなし）。（デフォルト：3.0） | -| `start_percent` | FLOAT | いいえ | 0.0 - 1.0 | 同一性ガイダンスがアクティブになるシグマ範囲の開始位置。（デフォルト：0.0） | -| `end_percent` | FLOAT | いいえ | 0.0 - 1.0 | 同一性ガイダンスがアクティブになるシグマ範囲の終了位置。（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 同一性ガイダンスでパッチ適用されるモデル。 | MODEL | はい | - | +| `positive` | ポジティブな条件付け入力。 | CONDITIONING | はい | - | +| `negative` | ネガティブな条件付け入力。 | CONDITIONING | はい | - | +| `reference_audio` | 話者同一性を転送するリファレンスオーディオクリップ。約5秒（トレーニング期間）を推奨します。これより短い、または長いクリップでは、音声同一性の転送が低下する可能性があります。 | AUDIO | はい | - | +| `audio_vae` | リファレンスオーディオをエンコードするためのLTXV Audio VAE。 | VAE | はい | - | +| `identity_guidance_scale` | 同一性ガイダンスの強さ。リファレンスなしで追加のフォワードパスを各ステップで実行し、話者同一性を増幅します。0に設定すると無効になります（追加パスなし）。（デフォルト：3.0） | FLOAT | いいえ | 0.0 - 100.0 | +| `start_percent` | 同一性ガイダンスがアクティブになるシグマ範囲の開始位置。（デフォルト：0.0） | FLOAT | いいえ | 0.0 - 1.0 | +| `end_percent` | 同一性ガイダンスがアクティブになるシグマ範囲の終了位置。（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `positive` | MODEL | 同一性ガイダンス機能でパッチ適用されたモデル。 | -| `negative` | CONDITIONING | エンコードされたリファレンスオーディオデータを含む、ポジティブな条件付け。 | -| `negative` | CONDITIONING | エンコードされたリファレンスオーディオデータを含む、ネガティブな条件付け。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `positive` | 同一性ガイダンス機能でパッチ適用されたモデル。 | MODEL | +| `negative` | エンコードされたリファレンスオーディオデータを含む、ポジティブな条件付け。 | CONDITIONING | +| `negative` | エンコードされたリファレンスオーディオデータを含む、ネガティブな条件付け。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVReferenceAudio/ja.md) --- **Source fingerprint (SHA-256):** `0b87fb135ba8e752f4114cb47152503b0ec548eefcaa03f99f1cbdda6664874c` diff --git a/ja/built-in-nodes/LTXVScheduler.mdx b/ja/built-in-nodes/LTXVScheduler.mdx index 50c4b9eba..6cc7acbcb 100644 --- a/ja/built-in-nodes/LTXVScheduler.mdx +++ b/ja/built-in-nodes/LTXVScheduler.mdx @@ -5,28 +5,28 @@ sidebarTitle: "LTXVScheduler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVScheduler/ja.md) - LTXVScheduler ノードは、カスタムサンプリングプロセス用のシグマ値を生成します。入力潜在変数内のトークン数に基づいてノイズスケジュールパラメータを計算し、シグモイド変換を適用してサンプリングスケジュールを作成します。このノードは、必要に応じて結果のシグマを指定された終端値に一致するように引き伸ばすこともできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ステップ` | INT | はい | 1-10000 | サンプリングステップ数（デフォルト：20） | -| `最大シフト` | FLOAT | はい | 0.0-100.0 | シグマ計算の最大シフト値（デフォルト：2.05） | -| `基本シフト` | FLOAT | はい | 0.0-100.0 | シグマ計算のベースシフト値（デフォルト：0.95） | -| `ストレッチ` | BOOLEAN | はい | True/False | シグマを [terminal, 1] の範囲に引き伸ばすかどうか（デフォルト：True） | -| `端末` | FLOAT | はい | 0.0-0.99 | 引き伸ばし後のシグマの終端値（デフォルト：0.1） | -| `潜在` | LATENT | いいえ | - | シグマ調整用のトークン数を計算するために使用されるオプションの潜在入力 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ステップ` | サンプリングステップ数（デフォルト：20） | INT | はい | 1-10000 | +| `最大シフト` | シグマ計算の最大シフト値（デフォルト：2.05） | FLOAT | はい | 0.0-100.0 | +| `基本シフト` | シグマ計算のベースシフト値（デフォルト：0.95） | FLOAT | はい | 0.0-100.0 | +| `ストレッチ` | シグマを [terminal, 1] の範囲に引き伸ばすかどうか（デフォルト：True） | BOOLEAN | はい | True/False | +| `端末` | 引き伸ばし後のシグマの終端値（デフォルト：0.1） | FLOAT | はい | 0.0-0.99 | +| `潜在` | シグマ調整用のトークン数を計算するために使用されるオプションの潜在入力 | LATENT | いいえ | - | **注記：** `latent` パラメータはオプションです。指定されていない場合、ノードは計算にデフォルトのトークン数 4096 を使用します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | サンプリングプロセス用に生成されたシグマ値 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sigmas` | サンプリングプロセス用に生成されたシグマ値 | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVScheduler/ja.md) --- **Source fingerprint (SHA-256):** `3c7e8721fd75bfb0a253c38cd29e2ee1905bfe08193aa97dbaa959550aba34bc` diff --git a/ja/built-in-nodes/LTXVSeparateAVLatent.mdx b/ja/built-in-nodes/LTXVSeparateAVLatent.mdx index 1fb3fae64..7cdd35137 100644 --- a/ja/built-in-nodes/LTXVSeparateAVLatent.mdx +++ b/ja/built-in-nodes/LTXVSeparateAVLatent.mdx @@ -5,24 +5,24 @@ sidebarTitle: "LTXVSeparateAVLatent" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVSeparateAVLatent/ja.md) - LTXVSeparateAVLatent ノードは、結合された音声・映像の潜在表現を受け取り、それを映像用と音声用の2つの個別の部分に分割します。入力された潜在表現からサンプルを分離し、ノイズマスクが存在する場合も同様に分割して、2つの新しい潜在オブジェクトを作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `av_latent` | LATENT | はい | なし | 分割対象となる、結合された音声・映像の潜在表現です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `av_latent` | 分割対象となる、結合された音声・映像の潜在表現です。 | LATENT | はい | なし | **注記：** 入力された潜在表現の `samples` テンソルは、最初の次元（バッチ次元）に少なくとも2つの要素を持つことが想定されています。最初の要素は映像の潜在表現に使用され、2番目の要素は音声の潜在表現に使用されます。`noise_mask` が存在する場合も、同様の方法で分割されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `オーディオlatent` | LATENT | 分割された映像データを含む潜在表現です。 | -| `audio_latent` | LATENT | 分割された音声データを含む潜在表現です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `オーディオlatent` | 分割された映像データを含む潜在表現です。 | LATENT | +| `audio_latent` | 分割された音声データを含む潜在表現です。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVSeparateAVLatent/ja.md) --- **Source fingerprint (SHA-256):** `55bce5d768e7fe13f885cc32d34ecdac5cdcbb667b03743004866ea4b6d58d46` diff --git a/ja/built-in-nodes/LaplaceScheduler.mdx b/ja/built-in-nodes/LaplaceScheduler.mdx index adc5e82f1..9098fc0de 100644 --- a/ja/built-in-nodes/LaplaceScheduler.mdx +++ b/ja/built-in-nodes/LaplaceScheduler.mdx @@ -5,25 +5,25 @@ sidebarTitle: "LaplaceScheduler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LaplaceScheduler/ja.md) - LaplaceSchedulerノードは、拡散サンプリングで使用するラプラス分布に従ったシグマ値のシーケンスを生成します。このノードは、ラプラス分布のパラメータを使用して進行を制御しながら、最大値から最小値へと徐々に減少するノイズレベルのスケジュールを作成します。このスケジューラーは、カスタムサンプリングワークフローにおいて拡散モデルのノイズスケジュールを定義するために一般的に使用されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ステップ` | INT | はい | 1 ～ 10000 | スケジュール内のサンプリングステップ数（デフォルト：20） | -| `シグマ_最大` | FLOAT | はい | 0.0 ～ 5000.0 | スケジュール開始時の最大シグマ値（デフォルト：14.614642） | -| `シグマ_最小` | FLOAT | はい | 0.0 ～ 5000.0 | スケジュール終了時の最小シグマ値（デフォルト：0.0291675） | -| `ミュー` | FLOAT | はい | -10.0 ～ 10.0 | ラプラス分布の平均パラメータ（デフォルト：0.0） | -| `ベータ` | FLOAT | はい | 0.0 ～ 10.0 | ラプラス分布の尺度パラメータ（デフォルト：0.5） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ステップ` | スケジュール内のサンプリングステップ数（デフォルト：20） | INT | はい | 1 ～ 10000 | +| `シグマ_最大` | スケジュール開始時の最大シグマ値（デフォルト：14.614642） | FLOAT | はい | 0.0 ～ 5000.0 | +| `シグマ_最小` | スケジュール終了時の最小シグマ値（デフォルト：0.0291675） | FLOAT | はい | 0.0 ～ 5000.0 | +| `ミュー` | ラプラス分布の平均パラメータ（デフォルト：0.0） | FLOAT | はい | -10.0 ～ 10.0 | +| `ベータ` | ラプラス分布の尺度パラメータ（デフォルト：0.5） | FLOAT | はい | 0.0 ～ 10.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `SIGMAS` | SIGMAS | ラプラス分布スケジュールに従ったシグマ値のシーケンス | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `SIGMAS` | ラプラス分布スケジュールに従ったシグマ値のシーケンス | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LaplaceScheduler/ja.md) --- **Source fingerprint (SHA-256):** `9d8cacb93d0bb1872a368821fd3cad5d6d373817a923436af9f62a7648d5d735` diff --git a/ja/built-in-nodes/LatentAdd.mdx b/ja/built-in-nodes/LatentAdd.mdx index 6ff1a5ec3..927613737 100644 --- a/ja/built-in-nodes/LatentAdd.mdx +++ b/ja/built-in-nodes/LatentAdd.mdx @@ -5,19 +5,19 @@ sidebarTitle: "LatentAdd" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentAdd/ja.md) - LatentAddノードは、2つの潜在表現を加算するために設計されています。これらの表現にエンコードされた特徴や特性を、要素ごとの加算によって組み合わせる機能を提供します。 ## 入力 -| パラメータ名 | データ型 | 説明 | -|--------------|-------------|-------------| -| `サンプル1` | `LATENT` | 加算される最初の潜在サンプルセットです。別の潜在サンプルセットと特徴を組み合わせるための入力の1つを表します。 | -| `サンプル2` | `LATENT` | 加算される2番目の潜在サンプルセットです。最初の潜在サンプルセットと要素ごとの加算によって特徴を組み合わせるための、もう1つの入力として機能します。 | +| パラメータ名 | 説明 | データ型 | +| --- | --- | --- | +| `サンプル1` | 加算される最初の潜在サンプルセットです。別の潜在サンプルセットと特徴を組み合わせるための入力の1つを表します。 | `LATENT` | +| `サンプル2` | 加算される2番目の潜在サンプルセットです。最初の潜在サンプルセットと要素ごとの加算によって特徴を組み合わせるための、もう1つの入力として機能します。 | `LATENT` | ## 出力 -| パラメータ名 | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 2つの潜在サンプルを要素ごとに加算した結果です。両方の入力の特徴を組み合わせた、新しい潜在サンプルセットを表します。 | \ No newline at end of file +| パラメータ名 | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 2つの潜在サンプルを要素ごとに加算した結果です。両方の入力の特徴を組み合わせた、新しい潜在サンプルセットを表します。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentAdd/ja.md) diff --git a/ja/built-in-nodes/LatentApplyOperation.mdx b/ja/built-in-nodes/LatentApplyOperation.mdx index c7b13f58e..8ffe20360 100644 --- a/ja/built-in-nodes/LatentApplyOperation.mdx +++ b/ja/built-in-nodes/LatentApplyOperation.mdx @@ -5,24 +5,24 @@ sidebarTitle: "LatentApplyOperation" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperation/ja.md) - 以下が翻訳結果です。 LatentApplyOperation ノードは、指定された操作を潜在サンプルに適用します。このノードは、潜在データと操作を入力として受け取り、提供された操作を使用して潜在サンプルを処理し、変更された潜在データを返します。このノードを使用すると、ワークフロー内で潜在表現を変換または操作できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サンプル` | LATENT | はい | - | 操作によって処理される潜在サンプル | -| `操作` | LATENT_OPERATION | はい | - | 潜在サンプルに適用する操作 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サンプル` | 操作によって処理される潜在サンプル | LATENT | はい | - | +| `操作` | 潜在サンプルに適用する操作 | LATENT_OPERATION | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | LATENT | 操作を適用した後の変更された潜在サンプル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 操作を適用した後の変更された潜在サンプル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperation/ja.md) --- **Source fingerprint (SHA-256):** `77147b480fe8cb48eb26a31f6f0c7bc038e07d26e628ebe361861394946d8678` diff --git a/ja/built-in-nodes/LatentApplyOperationCFG.mdx b/ja/built-in-nodes/LatentApplyOperationCFG.mdx index 465268373..8a9bce171 100644 --- a/ja/built-in-nodes/LatentApplyOperationCFG.mdx +++ b/ja/built-in-nodes/LatentApplyOperationCFG.mdx @@ -5,24 +5,24 @@ sidebarTitle: "LatentApplyOperationCFG" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperationCFG/ja.md) - 以下が翻訳結果です。 LatentApplyOperationCFG ノードは、潜在操作を適用してモデル内の条件付けガイダンスプロセスを変更します。このノードは、分類器フリーガイダンス（CFG）サンプリングプロセス中に条件付け出力をインターセプトし、生成に使用される前に潜在表現に指定された操作を適用することで機能します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | CFG操作が適用されるモデル | -| `操作` | LATENT_OPERATION | はい | - | CFGサンプリングプロセス中に適用する潜在操作 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | CFG操作が適用されるモデル | MODEL | はい | - | +| `操作` | CFGサンプリングプロセス中に適用する潜在操作 | LATENT_OPERATION | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | サンプリングプロセスにCFG操作が適用された変更済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | サンプリングプロセスにCFG操作が適用された変更済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperationCFG/ja.md) --- **Source fingerprint (SHA-256):** `9fbcc9183abf89bb93e55263bb655e931549360c05a561f7dacae8723db62e52` diff --git a/ja/built-in-nodes/LatentBatch.mdx b/ja/built-in-nodes/LatentBatch.mdx index 90c90dd4f..15134893c 100644 --- a/ja/built-in-nodes/LatentBatch.mdx +++ b/ja/built-in-nodes/LatentBatch.mdx @@ -5,19 +5,19 @@ sidebarTitle: "LatentBatch" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBatch/ja.md) - LatentBatchノードは、2つの潜在サンプルセットを1つのバッチに統合し、必要に応じて一方のセットのサイズをもう一方に合わせてリサイズした上で連結します。この操作により、異なる潜在表現を組み合わせて、さらなる処理や生成タスクに利用できるようになります。 ## 入力 -| パラメータ | データ型 | 説明 | -|--------------|-------------|-------------| -| `サンプル1` | `LATENT` | 統合される最初の潜在サンプルセットです。統合後のバッチの最終的な形状を決定する上で重要な役割を果たします。 | -| `サンプル2` | `LATENT` | 統合される2番目の潜在サンプルセットです。最初のセットと寸法が異なる場合は、統合前に互換性を確保するためにリサイズされます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `サンプル1` | 統合される最初の潜在サンプルセットです。統合後のバッチの最終的な形状を決定する上で重要な役割を果たします。 | `LATENT` | +| `サンプル2` | 統合される2番目の潜在サンプルセットです。最初のセットと寸法が異なる場合は、統合前に互換性を確保するためにリサイズされます。 | `LATENT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 統合された潜在サンプルセットです。さらなる処理のために1つのバッチに結合されています。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 統合された潜在サンプルセットです。さらなる処理のために1つのバッチに結合されています。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBatch/ja.md) diff --git a/ja/built-in-nodes/LatentBatchSeedBehavior.mdx b/ja/built-in-nodes/LatentBatchSeedBehavior.mdx index 8bc9bc456..6cf3b2b1c 100644 --- a/ja/built-in-nodes/LatentBatchSeedBehavior.mdx +++ b/ja/built-in-nodes/LatentBatchSeedBehavior.mdx @@ -5,19 +5,19 @@ sidebarTitle: "LatentBatchSeedBehavior" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBatchSeedBehavior/ja.md) - LatentBatchSeedBehavior ノードは、潜在サンプルのバッチにおけるシード動作を変更するために設計されています。このノードにより、バッチ全体でシードをランダム化または固定化することができ、生成プロセスにばらつきをもたらすか、一貫性を維持するかを選択できます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------------|--------------|-------------| -| `サンプル` | `LATENT` | 「samples」パラメータは、処理対象となる潜在サンプルのバッチを表します。このパラメータの変更は、選択されたシード動作に依存し、生成出力の一貫性またはばらつきに影響を与えます。 | -| `シード行動` | COMBO[STRING] | 「seed_behavior」パラメータは、潜在サンプルのバッチにおけるシードをランダム化するか固定化するかを指定します。この選択は、バッチ全体にばらつきをもたらすか、一貫性を確保するかによって、生成プロセスに大きな影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `サンプル` | 「samples」パラメータは、処理対象となる潜在サンプルのバッチを表します。このパラメータの変更は、選択されたシード動作に依存し、生成出力の一貫性またはばらつきに影響を与えます。 | `LATENT` | +| `シード行動` | 「seed_behavior」パラメータは、潜在サンプルのバッチにおけるシードをランダム化するか固定化するかを指定します。この選択は、バッチ全体にばらつきをもたらすか、一貫性を確保するかによって、生成プロセスに大きな影響を与えます。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 出力は、入力された潜在サンプルを指定されたシード動作に基づいて調整したバージョンです。選択されたシード動作を反映するために、バッチインデックスを維持するか変更します。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 出力は、入力された潜在サンプルを指定されたシード動作に基づいて調整したバージョンです。選択されたシード動作を反映するために、バッチインデックスを維持するか変更します。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBatchSeedBehavior/ja.md) diff --git a/ja/built-in-nodes/LatentBlend.mdx b/ja/built-in-nodes/LatentBlend.mdx index e54baa93e..3b90e7225 100644 --- a/ja/built-in-nodes/LatentBlend.mdx +++ b/ja/built-in-nodes/LatentBlend.mdx @@ -5,27 +5,27 @@ sidebarTitle: "LatentBlend" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBlend/ja.md) - 以下は、ご指定の翻訳ルールに従って英語ドキュメントを日本語に翻訳したものです。 LatentBlend ノードは、指定されたブレンド係数を使用して2つの潜在サンプルを結合します。2つの潜在入力を受け取り、最初のサンプルがブレンド係数で重み付けされ、2番目のサンプルがその逆数で重み付けされた新しい出力を作成します。入力サンプルの形状が異なる場合、2番目のサンプルは自動的に最初のサンプルの寸法に合わせてリサイズされます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サンプル1` | LATENT | はい | - | ブレンドする最初の潜在サンプル | -| `サンプル2` | LATENT | はい | - | ブレンドする2番目の潜在サンプル | -| `ブレンド係数` | FLOAT | はい | 0 から 1 | 2つのサンプル間のブレンド比率を制御します（デフォルト: 0.5） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サンプル1` | ブレンドする最初の潜在サンプル | LATENT | はい | - | +| `サンプル2` | ブレンドする2番目の潜在サンプル | LATENT | はい | - | +| `ブレンド係数` | 2つのサンプル間のブレンド比率を制御します（デフォルト: 0.5） | FLOAT | はい | 0 から 1 | **注記:** `samples1` と `samples2` の形状が異なる場合、`samples2` はバイキュービック補間とセンタークロッピングを使用して、`samples1` の寸法に合わせて自動的にリサイズされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `latent` | LATENT | 両方の入力サンプルを結合したブレンド済み潜在サンプル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 両方の入力サンプルを結合したブレンド済み潜在サンプル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBlend/ja.md) --- **Source fingerprint (SHA-256):** `a19808c5b606a8c05f2685fcd78d9f08c1ba51613a4029b36cf0ce5305618c2f` diff --git a/ja/built-in-nodes/LatentComposite.mdx b/ja/built-in-nodes/LatentComposite.mdx index 0d3f9231d..0882f508c 100644 --- a/ja/built-in-nodes/LatentComposite.mdx +++ b/ja/built-in-nodes/LatentComposite.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LatentComposite" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentComposite/ja.md) - LatentCompositeノードは、2つの潜在表現を1つの出力にブレンドまたはマージするために設計されています。この処理は、入力された潜在表現の特性を制御された方法で組み合わせることで、合成画像や特徴を作成するために不可欠です。 ## 入力 -| パラメータ | データ型 | 説明 | -|--------------|-------------|-------------| -| `samples_to` | `LATENT` | 'samples_from'が合成されるベースとなる潜在表現です。合成処理の基盤として機能します。 | -| `samples_from` | `LATENT` | 'samples_to'に合成される潜在表現です。最終的な合成出力にその特徴や特性を提供します。 | -| `x` | `INT` | 'samples_from'潜在表現が'samples_to'上に配置されるx座標（水平位置）です。合成の水平方向の位置合わせを決定します。 | -| `y` | `INT` | 'samples_from'潜在表現が'samples_to'上に配置されるy座標（垂直位置）です。合成の垂直方向の位置合わせを決定します。 | -| `フェザー` | `INT` | 合成前に'samples_from'潜在表現を'samples_to'に合わせてリサイズするかどうかを示すブール値です。これにより、合成結果のスケールや比率が影響を受ける可能性があります。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `samples_to` | 'samples_from'が合成されるベースとなる潜在表現です。合成処理の基盤として機能します。 | `LATENT` | +| `samples_from` | 'samples_to'に合成される潜在表現です。最終的な合成出力にその特徴や特性を提供します。 | `LATENT` | +| `x` | 'samples_from'潜在表現が'samples_to'上に配置されるx座標（水平位置）です。合成の水平方向の位置合わせを決定します。 | `INT` | +| `y` | 'samples_from'潜在表現が'samples_to'上に配置されるy座標（垂直位置）です。合成の垂直方向の位置合わせを決定します。 | `INT` | +| `フェザー` | 合成前に'samples_from'潜在表現を'samples_to'に合わせてリサイズするかどうかを示すブール値です。これにより、合成結果のスケールや比率が影響を受ける可能性があります。 | `INT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 出力は合成された潜在表現であり、指定された座標とリサイズオプションに基づいて、'samples_to'と'samples_from'の両方の潜在表現の特徴をブレンドしたものです。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 出力は合成された潜在表現であり、指定された座標とリサイズオプションに基づいて、'samples_to'と'samples_from'の両方の潜在表現の特徴をブレンドしたものです。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentComposite/ja.md) diff --git a/ja/built-in-nodes/LatentCompositeMasked.mdx b/ja/built-in-nodes/LatentCompositeMasked.mdx index 9165f5735..a7618fb0a 100644 --- a/ja/built-in-nodes/LatentCompositeMasked.mdx +++ b/ja/built-in-nodes/LatentCompositeMasked.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LatentCompositeMasked" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCompositeMasked/ja.md) - 以下は、ご依頼いただいたComfyUIノードドキュメントの日本語訳です。 --- @@ -15,17 +13,19 @@ LatentCompositeMaskedノードは、2つの潜在表現を指定された座標 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `destination` | `LATENT` | 別の潜在表現が合成される元となる潜在表現です。合成操作のベースレイヤーとして機能します。 | -| `source` | `LATENT` | デスティネーションに合成される潜在表現です。このソースレイヤーは、指定されたパラメータに従ってリサイズおよび配置できます。 | -| `x` | `INT` | ソースが配置されるデスティネーション潜在表現内のX座標です。ソースレイヤーの正確な位置決めを可能にします。 | -| `y` | `INT` | ソースが配置されるデスティネーション潜在表現内のY座標です。正確なオーバーレイ配置を実現します。 | -| `resize_source` | `BOOLEAN` | 合成前にソース潜在表現をデスティネーションの寸法に合わせてリサイズするかどうかを示すブール値フラグです。 | -| `マスク` | `MASK` | ソースをデスティネーションにブレンドする際の制御に使用できるオプションのマスクです。マスクは、最終的な合成画像においてソースのどの部分が表示されるかを定義します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `destination` | 別の潜在表現が合成される元となる潜在表現です。合成操作のベースレイヤーとして機能します。 | `LATENT` | +| `source` | デスティネーションに合成される潜在表現です。このソースレイヤーは、指定されたパラメータに従ってリサイズおよび配置できます。 | `LATENT` | +| `x` | ソースが配置されるデスティネーション潜在表現内のX座標です。ソースレイヤーの正確な位置決めを可能にします。 | `INT` | +| `y` | ソースが配置されるデスティネーション潜在表現内のY座標です。正確なオーバーレイ配置を実現します。 | `INT` | +| `resize_source` | 合成前にソース潜在表現をデスティネーションの寸法に合わせてリサイズするかどうかを示すブール値フラグです。 | `BOOLEAN` | +| `マスク` | ソースをデスティネーションにブレンドする際の制御に使用できるオプションのマスクです。マスクは、最終的な合成画像においてソースのどの部分が表示されるかを定義します。 | `MASK` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | ソースをデスティネーションに合成した結果の潜在表現です。選択的なブレンドのためにマスクが使用される場合もあります。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | ソースをデスティネーションに合成した結果の潜在表現です。選択的なブレンドのためにマスクが使用される場合もあります。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCompositeMasked/ja.md) diff --git a/ja/built-in-nodes/LatentConcat.mdx b/ja/built-in-nodes/LatentConcat.mdx index 13d52e114..234a83508 100644 --- a/ja/built-in-nodes/LatentConcat.mdx +++ b/ja/built-in-nodes/LatentConcat.mdx @@ -5,27 +5,27 @@ sidebarTitle: "LatentConcat" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentConcat/ja.md) - 以下が翻訳結果です。 LatentConcat ノードは、2つの潜在サンプルを選択した次元に沿って結合します。2つの潜在入力を x、y、または t 軸に沿って連結し、どちらのサンプルを先に配置するかを制御するオプションを備えています。このノードは、連結を実行する前に、2番目の入力のバッチサイズを最初の入力に自動的に合わせます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サンプル1` | LATENT | はい | - | 連結する最初の潜在サンプル | -| `サンプル2` | LATENT | はい | - | 連結する2番目の潜在サンプル | -| `次元` | COMBO | はい | `"x"`
`"-x"`
`"y"`
`"-y"`
`"t"`
`"-t"` | 潜在サンプルを連結する次元。正の値（x、y、t）は結果内で samples1 を samples2 の前に配置します。負の値（-x、-y、-t）は samples2 を samples1 の前に配置します。次元のマッピングは次のとおりです：x = 幅、y = 高さ、t = 時間/フレーム | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サンプル1` | 連結する最初の潜在サンプル | LATENT | はい | - | +| `サンプル2` | 連結する2番目の潜在サンプル | LATENT | はい | - | +| `次元` | 潜在サンプルを連結する次元。正の値（x、y、t）は結果内で samples1 を samples2 の前に配置します。負の値（-x、-y、-t）は samples2 を samples1 の前に配置します。次元のマッピングは次のとおりです：x = 幅、y = 高さ、t = 時間/フレーム | COMBO | はい | `"x"`
`"-x"`
`"y"`
`"-y"`
`"t"`
`"-t"` | **注記:** 2番目の潜在サンプル（`samples2`）は、連結前に最初の潜在サンプル（`samples1`）のバッチサイズに自動的に合わせられます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | LATENT | 指定された次元に沿って2つの入力サンプルを結合した結果の連結された潜在サンプル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 指定された次元に沿って2つの入力サンプルを結合した結果の連結された潜在サンプル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentConcat/ja.md) --- **Source fingerprint (SHA-256):** `46514ef85887279ec577ad88ac46f1c20f428903ee63b076888d7d5df09fde77` diff --git a/ja/built-in-nodes/LatentCrop.mdx b/ja/built-in-nodes/LatentCrop.mdx index 34658b61d..05f43286d 100644 --- a/ja/built-in-nodes/LatentCrop.mdx +++ b/ja/built-in-nodes/LatentCrop.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LatentCrop" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCrop/ja.md) - LatentCropノードは、画像の潜在表現に対してクロッピング（切り抜き）操作を実行するために設計されています。クロップの寸法と位置を指定することで、潜在空間に対する対象を絞った変更を可能にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `samples` | `LATENT` | クロッピング対象となる潜在表現を指定するパラメータです。クロッピング操作を実行するデータを定義する上で重要です。 | -| `幅` | `INT` | クロップ領域の幅を指定します。出力される潜在表現の寸法に直接影響します。 | -| `高さ` | `INT` | クロップ領域の高さを指定します。結果として得られるクロップ済み潜在表現のサイズに影響します。 | -| `x` | `INT` | クロップ領域の開始X座標を決定します。元の潜在表現内におけるクロップの位置に影響します。 | -| `y` | `INT` | クロップ領域の開始Y座標を決定します。元の潜在表現内におけるクロップの位置を設定します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `samples` | クロッピング対象となる潜在表現を指定するパラメータです。クロッピング操作を実行するデータを定義する上で重要です。 | `LATENT` | +| `幅` | クロップ領域の幅を指定します。出力される潜在表現の寸法に直接影響します。 | `INT` | +| `高さ` | クロップ領域の高さを指定します。結果として得られるクロップ済み潜在表現のサイズに影響します。 | `INT` | +| `x` | クロップ領域の開始X座標を決定します。元の潜在表現内におけるクロップの位置に影響します。 | `INT` | +| `y` | クロップ領域の開始Y座標を決定します。元の潜在表現内におけるクロップの位置を設定します。 | `INT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 指定されたクロップが適用された、変更済みの潜在表現を出力します。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 指定されたクロップが適用された、変更済みの潜在表現を出力します。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCrop/ja.md) diff --git a/ja/built-in-nodes/LatentCut.mdx b/ja/built-in-nodes/LatentCut.mdx index 5bc9c364a..8c8006520 100644 --- a/ja/built-in-nodes/LatentCut.mdx +++ b/ja/built-in-nodes/LatentCut.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LatentCut" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCut/ja.md) - 以下は、ご指定の翻訳ルールに従って日本語に翻訳した ComfyUI ノードドキュメントです。 --- @@ -15,18 +13,20 @@ LatentCut ノードは、潜在サンプルから特定のセクションを選 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サンプル` | LATENT | はい | - | 抽出元となる入力潜在サンプル | -| `次元` | COMBO | はい | "x"
"y"
"t" | 潜在サンプルを切り出す次元 | -| `インデックス` | INT | はい | -16384 ～ 16384 | 切り出しの開始位置（デフォルト：0）。正の値は先頭から、負の値は末尾から数えます。ノードはインデックスを自動的にクランプし、潜在サンプルの有効範囲内に収まるようにします | -| `量` | INT | はい | 1 ～ 16384 | 指定した次元に沿って抽出する要素数（デフォルト：1）。開始インデックス以降の利用可能なデータを超える場合、ノードはこの値を自動的に減らします | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サンプル` | 抽出元となる入力潜在サンプル | LATENT | はい | - | +| `次元` | 潜在サンプルを切り出す次元 | COMBO | はい | "x"
"y"
"t" | +| `インデックス` | 切り出しの開始位置（デフォルト：0）。正の値は先頭から、負の値は末尾から数えます。ノードはインデックスを自動的にクランプし、潜在サンプルの有効範囲内に収まるようにします | INT | はい | -16384 ～ 16384 | +| `量` | 指定した次元に沿って抽出する要素数（デフォルト：1）。開始インデックス以降の利用可能なデータを超える場合、ノードはこの値を自動的に減らします | INT | はい | 1 ～ 16384 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | LATENT | 抽出された潜在サンプルの一部 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 抽出された潜在サンプルの一部 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCut/ja.md) --- **Source fingerprint (SHA-256):** `54f2b0cead9dce2c2cbd241d4e8c50ce85a67d3e1a40e7002056b83acbf0cf2d` diff --git a/ja/built-in-nodes/LatentCutToBatch.mdx b/ja/built-in-nodes/LatentCutToBatch.mdx index b9291354b..096fcfc17 100644 --- a/ja/built-in-nodes/LatentCutToBatch.mdx +++ b/ja/built-in-nodes/LatentCutToBatch.mdx @@ -5,25 +5,25 @@ sidebarTitle: "LatentCutToBatch" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/en.md) LatentCutToBatchノードは、潜在表現を選択した次元に沿って複数のスライスに分割し、それらを新しいバッチにスタックします。これにより、潜在サンプルの異なる部分を独立して処理できるようになります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サンプル` | LATENT | はい | - | 分割してバッチ処理する潜在表現です。 | -| `次元` | COMBO | はい | `"t"`
`"x"`
`"y"` | 潜在サンプルをカットする次元を指定します。`"t"`は時間次元、`"x"`は幅、`"y"`は高さを指します。 | -| `スライスサイズ` | INT | はい | 1～16384 | 指定された次元からカットする各スライスのサイズです。この値で次元のサイズが割り切れない場合、余りは破棄されます。（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サンプル` | 分割してバッチ処理する潜在表現です。 | LATENT | はい | - | +| `次元` | 潜在サンプルをカットする次元を指定します。`"t"`は時間次元、`"x"`は幅、`"y"`は高さを指します。 | COMBO | はい | `"t"`
`"x"`
`"y"` | +| `スライスサイズ` | 指定された次元からカットする各スライスのサイズです。この値で次元のサイズが割り切れない場合、余りは破棄されます。（デフォルト：1） | INT | はい | 1～16384 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `サンプル` | LATENT | スライスされてスタックされたサンプルを含む、結果の潜在バッチです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `サンプル` | スライスされてスタックされたサンプルを含む、結果の潜在バッチです。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/ja.md) --- **Source fingerprint (SHA-256):** `38d0ace3ef91e47e3f047aa7057c61e09b6534702526b34691b4bc239c933cd3` diff --git a/ja/built-in-nodes/LatentFlip.mdx b/ja/built-in-nodes/LatentFlip.mdx index b59131596..da097ae9e 100644 --- a/ja/built-in-nodes/LatentFlip.mdx +++ b/ja/built-in-nodes/LatentFlip.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LatentFlip" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentFlip/ja.md) - 以下は、提供された英語ドキュメントを日本語に翻訳したものです。 --- @@ -15,13 +13,15 @@ LatentFlipノードは、潜在表現を垂直または水平に反転させる ## 入力 -| パラメータ | データ型 | 説明 | -|---------------|--------------|-------------| -| `samples` | `LATENT` | `samples`パラメータは、反転される潜在表現を表します。反転操作は、`反転方法`パラメータに応じて、これらの表現を垂直または水平に変更し、潜在空間内のデータを変換します。 | -| `反転方法` | COMBO[STRING] | `反転方法`パラメータは、潜在サンプルが反転される軸を指定します。`'x-axis: vertically'`（垂直）または`'y-axis: horizontally'`（水平）のいずれかを指定でき、反転の方向、ひいては潜在表現に適用される変換の性質を決定します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `samples` | `samples`パラメータは、反転される潜在表現を表します。反転操作は、`反転方法`パラメータに応じて、これらの表現を垂直または水平に変更し、潜在空間内のデータを変換します。 | `LATENT` | +| `反転方法` | `反転方法`パラメータは、潜在サンプルが反転される軸を指定します。`'x-axis: vertically'`（垂直）または`'y-axis: horizontally'`（水平）のいずれかを指定でき、反転の方向、ひいては潜在表現に適用される変換の性質を決定します。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 出力は、入力された潜在表現を指定された方法に従って反転した修正バージョンです。この変換により、潜在空間内に新しいバリエーションが導入される可能性があります。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 出力は、入力された潜在表現を指定された方法に従って反転した修正バージョンです。この変換により、潜在空間内に新しいバリエーションが導入される可能性があります。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentFlip/ja.md) diff --git a/ja/built-in-nodes/LatentFromBatch.mdx b/ja/built-in-nodes/LatentFromBatch.mdx index e582fafbd..6aa219bc6 100644 --- a/ja/built-in-nodes/LatentFromBatch.mdx +++ b/ja/built-in-nodes/LatentFromBatch.mdx @@ -5,20 +5,20 @@ sidebarTitle: "LatentFromBatch" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentFromBatch/ja.md) - このノードは、指定されたバッチインデックスと長さに基づいて、特定の潜在サンプルのサブセットをバッチから抽出するように設計されています。潜在サンプルの選択的な処理を可能にし、効率化やターゲットを絞った操作のためにバッチの小さなセグメントに対する操作を容易にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|---------------|-------------|-------------| -| `samples` | `LATENT` | サブセットが抽出される潜在サンプルの集合です。このパラメータは、処理対象となるサンプルのソースバッチを決定する上で重要です。 | -| `バッチインデックス` | `INT` | サブセットの抽出を開始するバッチ内の開始インデックスを指定します。このパラメータにより、バッチ内の特定の位置からサンプルをターゲットして抽出することが可能になります。 | -| `長さ` | `INT` | 指定された開始インデックスから抽出するサンプル数を定義します。このパラメータは処理するサブセットのサイズを制御し、バッチセグメントの柔軟な操作を可能にします。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `samples` | サブセットが抽出される潜在サンプルの集合です。このパラメータは、処理対象となるサンプルのソースバッチを決定する上で重要です。 | `LATENT` | +| `バッチインデックス` | サブセットの抽出を開始するバッチ内の開始インデックスを指定します。このパラメータにより、バッチ内の特定の位置からサンプルをターゲットして抽出することが可能になります。 | `INT` | +| `長さ` | 指定された開始インデックスから抽出するサンプル数を定義します。このパラメータは処理するサブセットのサイズを制御し、バッチセグメントの柔軟な操作を可能にします。 | `INT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 抽出された潜在サンプルのサブセットです。これにより、さらなる処理や分析が可能になります。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 抽出された潜在サンプルのサブセットです。これにより、さらなる処理や分析が可能になります。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentFromBatch/ja.md) diff --git a/ja/built-in-nodes/LatentInterpolate.mdx b/ja/built-in-nodes/LatentInterpolate.mdx index 998e80521..1eb8bc1a0 100644 --- a/ja/built-in-nodes/LatentInterpolate.mdx +++ b/ja/built-in-nodes/LatentInterpolate.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LatentInterpolate" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentInterpolate/ja.md) - 以下が翻訳です。 LatentInterpolateノードは、指定された比率に基づいて2つの潜在サンプルセット間の補間を実行し、両方のセットの特性をブレンドして、新しい中間的な潜在サンプルセットを生成するように設計されています。 ## 入力 -| パラメータ | データ型 | 説明 | -|--------------|-------------|-------------| -| `samples1` | `LATENT` | 補間される最初の潜在サンプルセットです。補間プロセスの開始点として機能します。 | -| `samples2` | `LATENT` | 補間される2番目の潜在サンプルセットです。補間プロセスの終了点として機能します。 | -| `比率` | `FLOAT` | 補間出力における各サンプルセットの重みを決定する浮動小数点値です。比率が0の場合は最初のセットのコピーが生成され、比率が1の場合は2番目のセットのコピーが生成されます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `samples1` | 補間される最初の潜在サンプルセットです。補間プロセスの開始点として機能します。 | `LATENT` | +| `samples2` | 補間される2番目の潜在サンプルセットです。補間プロセスの終了点として機能します。 | `LATENT` | +| `比率` | 補間出力における各サンプルセットの重みを決定する浮動小数点値です。比率が0の場合は最初のセットのコピーが生成され、比率が1の場合は2番目のセットのコピーが生成されます。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 指定された比率に基づいて、2つの入力セット間の補間状態を表す新しい潜在サンプルセットを出力します。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 指定された比率に基づいて、2つの入力セット間の補間状態を表す新しい潜在サンプルセットを出力します。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentInterpolate/ja.md) diff --git a/ja/built-in-nodes/LatentMultiply.mdx b/ja/built-in-nodes/LatentMultiply.mdx index f585aeca0..6d25bb110 100644 --- a/ja/built-in-nodes/LatentMultiply.mdx +++ b/ja/built-in-nodes/LatentMultiply.mdx @@ -5,21 +5,21 @@ sidebarTitle: "LatentMultiply" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentMultiply/ja.md) - ### LatentMultiply ノード LatentMultiplyノードは、サンプルの潜在表現を指定された倍率でスケーリングするように設計されています。この操作により、潜在空間内の特徴の強度や大きさを調整することができ、生成コンテンツの微調整や、特定の潜在方向におけるバリエーションの探索が可能になります。 ## 入力 -| パラメータ | データ型 | 説明 | -|--------------|-------------|-------------| -| `samples` | `LATENT` | 「samples」パラメータは、スケーリングされる潜在表現を表します。乗算処理が実行される入力データを定義するために重要です。 | -| `乗数` | `FLOAT` | 「multiplier」パラメータは、潜在サンプルに適用されるスケーリング係数を指定します。潜在特徴の大きさを調整する上で重要な役割を果たし、生成出力を微妙に制御することを可能にします。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `samples` | 「samples」パラメータは、スケーリングされる潜在表現を表します。乗算処理が実行される入力データを定義するために重要です。 | `LATENT` | +| `乗数` | 「multiplier」パラメータは、潜在サンプルに適用されるスケーリング係数を指定します。潜在特徴の大きさを調整する上で重要な役割を果たし、生成出力を微妙に制御することを可能にします。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 出力は、指定された倍率でスケーリングされた入力潜在サンプルの修正バージョンです。これにより、特徴の強度を調整することで潜在空間内のバリエーションを探索することができます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 出力は、指定された倍率でスケーリングされた入力潜在サンプルの修正バージョンです。これにより、特徴の強度を調整することで潜在空間内のバリエーションを探索することができます。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentMultiply/ja.md) diff --git a/ja/built-in-nodes/LatentOperationSharpen.mdx b/ja/built-in-nodes/LatentOperationSharpen.mdx index f415d7c29..4a103a365 100644 --- a/ja/built-in-nodes/LatentOperationSharpen.mdx +++ b/ja/built-in-nodes/LatentOperationSharpen.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LatentOperationSharpen" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationSharpen/ja.md) - ## 概要 LatentOperationSharpen ノードは、ガウシアンカーネルを使用して潜在表現にシャープネス効果を適用します。潜在データを正規化し、カスタムシャープニングカーネルで畳み込みを適用した後、元の輝度を復元することで動作します。これにより、潜在空間表現のディテールとエッジが強調されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `シャープ化半径` | INT | いいえ | 1-31 | シャープニングカーネルの半径（デフォルト: 9） | -| `シグマ` | FLOAT | いいえ | 0.1-10.0 | ガウシアンカーネルの標準偏差（デフォルト: 1.0） | -| `アルファ` | FLOAT | いいえ | 0.0-5.0 | シャープネスの強度係数（デフォルト: 0.1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `シャープ化半径` | シャープニングカーネルの半径（デフォルト: 9） | INT | いいえ | 1-31 | +| `シグマ` | ガウシアンカーネルの標準偏差（デフォルト: 1.0） | FLOAT | いいえ | 0.1-10.0 | +| `アルファ` | シャープネスの強度係数（デフォルト: 0.1） | FLOAT | いいえ | 0.0-5.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `operation` | LATENT_OPERATION | 潜在データに適用可能なシャープニング操作を返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `operation` | 潜在データに適用可能なシャープニング操作を返します | LATENT_OPERATION | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationSharpen/ja.md) --- **Source fingerprint (SHA-256):** `542754746ab462eb27229ab9b949bb66054ab4c87c77cc59d405b35a2cc27bce` diff --git a/ja/built-in-nodes/LatentOperationTonemapReinhard.mdx b/ja/built-in-nodes/LatentOperationTonemapReinhard.mdx index cac9bc7e3..dbf0b8826 100644 --- a/ja/built-in-nodes/LatentOperationTonemapReinhard.mdx +++ b/ja/built-in-nodes/LatentOperationTonemapReinhard.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LatentOperationTonemapReinhard" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/ja.md) - 以下が翻訳結果です。 LatentOperationTonemapReinhard ノードは、潜在ベクトルに Reinhard トーンマッピングを適用します。この手法は、平均と標準偏差に基づく統計的アプローチを使用して潜在ベクトルを正規化し、その大きさを調整します。強度は乗数パラメータによって制御されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `乗数` | FLOAT | いいえ | 0.0 ～ 100.0 | トーンマッピング効果の強度を制御します（デフォルト: 1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `乗数` | トーンマッピング効果の強度を制御します（デフォルト: 1.0） | FLOAT | いいえ | 0.0 ～ 100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `operation` | LATENT_OPERATION | 潜在ベクトルに適用可能なトーンマッピング操作を返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `operation` | 潜在ベクトルに適用可能なトーンマッピング操作を返します | LATENT_OPERATION | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/ja.md) --- **Source fingerprint (SHA-256):** `70c04eaef06b749392a0c65f3d1267e52484f7cf956f87173d10ad935afcf98c` diff --git a/ja/built-in-nodes/LatentRotate.mdx b/ja/built-in-nodes/LatentRotate.mdx index c9122b5f5..66d13417e 100644 --- a/ja/built-in-nodes/LatentRotate.mdx +++ b/ja/built-in-nodes/LatentRotate.mdx @@ -5,19 +5,19 @@ sidebarTitle: "LatentRotate" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentRotate/ja.md) - LatentRotate ノードは、指定された角度に応じて画像の潜在表現を回転させるために設計されています。潜在空間を操作して回転効果を実現する複雑さを抽象化し、ユーザーが生成モデルの潜在空間内で画像を簡単に変換できるようにします。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `samples` | `LATENT` | 「samples」パラメータは、回転させる画像の潜在表現を表します。回転操作の開始点を決定するために重要です。 | -| `回転` | COMBO[STRING] | 「rotation」パラメータは、潜在画像を回転させる角度を指定します。結果の画像の向きに直接影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `samples` | 「samples」パラメータは、回転させる画像の潜在表現を表します。回転操作の開始点を決定するために重要です。 | `LATENT` | +| `回転` | 「rotation」パラメータは、潜在画像を回転させる角度を指定します。結果の画像の向きに直接影響を与えます。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 出力は、入力された潜在表現を指定された角度で回転させた修正バージョンです。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 出力は、入力された潜在表現を指定された角度で回転させた修正バージョンです。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentRotate/ja.md) diff --git a/ja/built-in-nodes/LatentSubtract.mdx b/ja/built-in-nodes/LatentSubtract.mdx index 2d6209d06..8b43dda2e 100644 --- a/ja/built-in-nodes/LatentSubtract.mdx +++ b/ja/built-in-nodes/LatentSubtract.mdx @@ -5,21 +5,21 @@ sidebarTitle: "LatentSubtract" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentSubtract/ja.md) - 以下が翻訳結果です。 LatentSubtractノードは、ある潜在表現から別の潜在表現を減算するために設計されています。この操作は、一方の潜在空間に表現された特徴や属性を効果的に除去することで、生成モデルの出力特性を操作または変更するために使用できます。 ## 入力 -| パラメータ | データ型 | 説明 | -|--------------|-------------|-------------| -| `samples1` | `LATENT` | 減算の対象となる最初の潜在サンプルセットです。減算操作のベースとして機能します。 | -| `samples2` | `LATENT` | 最初のセットから減算される2番目の潜在サンプルセットです。この操作により、属性や特徴を除去することで、生成モデルの出力結果を変更できます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `samples1` | 減算の対象となる最初の潜在サンプルセットです。減算操作のベースとして機能します。 | `LATENT` | +| `samples2` | 最初のセットから減算される2番目の潜在サンプルセットです。この操作により、属性や特徴を除去することで、生成モデルの出力結果を変更できます。 | `LATENT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 最初の潜在サンプルセットから2番目のセットを減算した結果です。この変更された潜在表現は、さらなる生成タスクに使用できます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 最初の潜在サンプルセットから2番目のセットを減算した結果です。この変更された潜在表現は、さらなる生成タスクに使用できます。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentSubtract/ja.md) diff --git a/ja/built-in-nodes/LatentUpscale.mdx b/ja/built-in-nodes/LatentUpscale.mdx index df381dff5..8cbe67438 100644 --- a/ja/built-in-nodes/LatentUpscale.mdx +++ b/ja/built-in-nodes/LatentUpscale.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LatentUpscale" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscale/ja.md) - LatentUpscale ノードは、画像の潜在表現をアップスケールするために設計されています。出力画像の寸法やアップスケール方法を調整でき、潜在画像の解像度を柔軟に向上させることができます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `samples` | `LATENT` | アップスケール対象となる画像の潜在表現です。このパラメータは、アップスケール処理の開始点を決定する上で重要です。 | -| `拡大方法` | COMBO[STRING] | 潜在画像のアップスケールに使用する方法を指定します。方法の違いにより、アップスケール後の画像の品質や特性が変化します。 | -| `幅` | `INT` | アップスケール後の画像の希望幅です。0 に設定すると、アスペクト比を維持するために高さに基づいて自動計算されます。 | -| `高さ` | `INT` | アップスケール後の画像の希望高さです。0 に設定すると、アスペクト比を維持するために幅に基づいて自動計算されます。 | -| `クロップ` | COMBO[STRING] | アップスケール後の画像をどのようにクロップするかを決定します。出力の最終的な外観と寸法に影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `samples` | アップスケール対象となる画像の潜在表現です。このパラメータは、アップスケール処理の開始点を決定する上で重要です。 | `LATENT` | +| `拡大方法` | 潜在画像のアップスケールに使用する方法を指定します。方法の違いにより、アップスケール後の画像の品質や特性が変化します。 | COMBO[STRING] | +| `幅` | アップスケール後の画像の希望幅です。0 に設定すると、アスペクト比を維持するために高さに基づいて自動計算されます。 | `INT` | +| `高さ` | アップスケール後の画像の希望高さです。0 に設定すると、アスペクト比を維持するために幅に基づいて自動計算されます。 | `INT` | +| `クロップ` | アップスケール後の画像をどのようにクロップするかを決定します。出力の最終的な外観と寸法に影響を与えます。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | アップスケールされた画像の潜在表現です。さらなる処理や生成に使用できます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | アップスケールされた画像の潜在表現です。さらなる処理や生成に使用できます。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscale/ja.md) diff --git a/ja/built-in-nodes/LatentUpscaleBy.mdx b/ja/built-in-nodes/LatentUpscaleBy.mdx index 4d296dbc7..f714def34 100644 --- a/ja/built-in-nodes/LatentUpscaleBy.mdx +++ b/ja/built-in-nodes/LatentUpscaleBy.mdx @@ -5,20 +5,20 @@ sidebarTitle: "LatentUpscaleBy" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleBy/ja.md) - LatentUpscaleBy ノードは、画像の潜在表現をアップスケーリングするために設計されています。スケール係数やアップスケーリング方法の調整が可能で、潜在サンプルの解像度を柔軟に向上させることができます。 ## 入力 -| パラメータ | データ型 | 説明 | -|---------------|--------------|-------------| -| `samples` | `LATENT` | アップスケーリング対象となる画像の潜在表現です。このパラメータは、アップスケーリング処理を行う入力データを決定する上で重要です。 | -| `拡大方法` | COMBO[STRING] | 潜在サンプルのアップスケーリングに使用する方法を指定します。選択する方法によって、アップスケーリング後の出力の品質や特性が大きく変わることがあります。 | -| `スケールバイ` | `FLOAT` | 潜在サンプルを拡大する倍率を指定します。このパラメータは出力の解像度に直接影響し、アップスケーリング処理を精密に制御できます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `samples` | アップスケーリング対象となる画像の潜在表現です。このパラメータは、アップスケーリング処理を行う入力データを決定する上で重要です。 | `LATENT` | +| `拡大方法` | 潜在サンプルのアップスケーリングに使用する方法を指定します。選択する方法によって、アップスケーリング後の出力の品質や特性が大きく変わることがあります。 | COMBO[STRING] | +| `スケールバイ` | 潜在サンプルを拡大する倍率を指定します。このパラメータは出力の解像度に直接影響し、アップスケーリング処理を精密に制御できます。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | アップスケーリングされた潜在表現です。さらなる処理や生成タスクに利用できます。この出力は、生成画像の解像度を向上させたり、後続のモデル操作を行うために不可欠です。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | アップスケーリングされた潜在表現です。さらなる処理や生成タスクに利用できます。この出力は、生成画像の解像度を向上させたり、後続のモデル操作を行うために不可欠です。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleBy/ja.md) diff --git a/ja/built-in-nodes/LatentUpscaleModelLoader.mdx b/ja/built-in-nodes/LatentUpscaleModelLoader.mdx index c46c234e4..a4bf05858 100644 --- a/ja/built-in-nodes/LatentUpscaleModelLoader.mdx +++ b/ja/built-in-nodes/LatentUpscaleModelLoader.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LatentUpscaleModelLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/ja.md) - 以下が翻訳結果です。 ## 概要概要 @@ -15,15 +13,17 @@ LatentUpscaleModelLoader ノードは、潜在表現のアップスケーリン ## 入力入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_name` | STRING | はい | *`latent_upscale_models` フォルダ内の全ファイル* | 読み込む潜在アップスケールモデルファイルの名前です。選択肢は、ComfyUI の `latent_upscale_models` ディレクトリに存在するファイルから動的に生成されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_name` | 読み込む潜在アップスケールモデルファイルの名前です。選択肢は、ComfyUI の `latent_upscale_models` ディレクトリに存在するファイルから動的に生成されます。 | STRING | はい | *`latent_upscale_models` フォルダ内の全ファイル* | ## 出力出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | LATENT_UPSCALE_MODEL | 読み込まれ、設定済みで使用可能な状態の潜在アップスケールモデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 読み込まれ、設定済みで使用可能な状態の潜在アップスケールモデルです。 | LATENT_UPSCALE_MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/ja.md) --- **Source fingerprint (SHA-256):** `bd97f3ec1422aaabbd60779aa4112be44791daddc6307de53ae0e4219a90ab0e` diff --git a/ja/built-in-nodes/LazyCache.mdx b/ja/built-in-nodes/LazyCache.mdx index e527cd8d7..d9504f6b9 100644 --- a/ja/built-in-nodes/LazyCache.mdx +++ b/ja/built-in-nodes/LazyCache.mdx @@ -5,27 +5,27 @@ sidebarTitle: "LazyCache" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LazyCache/ja.md) - 以下が翻訳結果です。 LazyCache は、EasyCache の自家製バージョンであり、さらに簡単な実装を提供します。ComfyUI の任意のモデルで動作し、キャッシュ機能を追加してサンプリング中の計算を削減します。一般的には EasyCache よりも性能が劣りますが、まれに効果が高い場合があり、ユニバーサルな互換性を備えています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | LazyCache を追加するモデル。 | -| `再利用しきい値` | FLOAT | いいえ | 0.0 - 3.0 | キャッシュされたステップを再利用するためのしきい値（デフォルト: 0.2）。 | -| `開始パーセント` | FLOAT | いいえ | 0.0 - 1.0 | LazyCache の使用を開始する相対サンプリングステップ（デフォルト: 0.15）。 | -| `終了パーセント` | FLOAT | いいえ | 0.0 - 1.0 | LazyCache の使用を終了する相対サンプリングステップ（デフォルト: 0.95）。 | -| `詳細表示` | BOOLEAN | いいえ | - | 詳細情報をログに出力するかどうか（デフォルト: False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | LazyCache を追加するモデル。 | MODEL | はい | - | +| `再利用しきい値` | キャッシュされたステップを再利用するためのしきい値（デフォルト: 0.2）。 | FLOAT | いいえ | 0.0 - 3.0 | +| `開始パーセント` | LazyCache の使用を開始する相対サンプリングステップ（デフォルト: 0.15）。 | FLOAT | いいえ | 0.0 - 1.0 | +| `終了パーセント` | LazyCache の使用を終了する相対サンプリングステップ（デフォルト: 0.95）。 | FLOAT | いいえ | 0.0 - 1.0 | +| `詳細表示` | 詳細情報をログに出力するかどうか（デフォルト: False）。 | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | LazyCache 機能が追加されたモデル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | LazyCache 機能が追加されたモデル。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LazyCache/ja.md) --- **Source fingerprint (SHA-256):** `72a5e85b7cf517e88583fc1b75d3ab4a5d40fe8604d50c34f555e677d2ea9e51` diff --git a/ja/built-in-nodes/Load3D.mdx b/ja/built-in-nodes/Load3D.mdx index 3065f0e03..241f2c334 100644 --- a/ja/built-in-nodes/Load3D.mdx +++ b/ja/built-in-nodes/Load3D.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Load3D" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Load3D/ja.md) - Load3Dノードは、3Dモデルファイルを読み込み、処理するためのコアノードです。ノードを読み込むと、`ComfyUI/input/3d/`から利用可能な3Dリソースを自動的に取得します。また、アップロード機能を使用して、対応する3Dファイルをアップロードし、プレビューすることもできます。 **対応フォーマット** @@ -21,23 +19,23 @@ Load3Dノードは、3Dモデルファイルを読み込み、処理するため ## 入力 -| パラメータ名 | 型 | 説明 | デフォルト | 範囲 | -|---|---|---|---|---| -| model_file | ファイル選択 | 3Dモデルファイルのパス。アップロードに対応。デフォルトでは `ComfyUI/input/3d/` からモデルファイルを読み込みます。 | - | 対応フォーマット | -| width | INT | キャンバスのレンダリング幅 | 1024 | 1-4096 | -| height | INT | キャンバスのレンダリング高さ | 1024 | 1-4096 | +| パラメータ名 | 説明 | 型 | デフォルト | 範囲 | +| --- | --- | --- | --- | --- | +| model_file | 3Dモデルファイルのパス。アップロードに対応。デフォルトでは `ComfyUI/input/3d/` からモデルファイルを読み込みます。 | ファイル選択 | - | 対応フォーマット | +| width | キャンバスのレンダリング幅 | INT | 1024 | 1-4096 | +| height | キャンバスのレンダリング高さ | INT | 1024 | 1-4096 | ## 出力 -| パラメータ名 | データ型 | 説明 | -|---|---|---| -| image | IMAGE | キャンバスにレンダリングされた画像 | -| mask | MASK | 現在のモデル位置を含むマスク | -| mesh_path | STRING | モデルファイルのパス | -| normal | IMAGE | 法線マップ | -| lineart | IMAGE | 線画画像の出力。対応する `edge_threshold` はキャンバスのモデルメニューで調整できます。 | -| camera_info | LOAD3D_CAMERA | カメラ情報 | -| recording_video | VIDEO | 録画された動画（録画が存在する場合のみ） | +| パラメータ名 | 説明 | データ型 | +| --- | --- | --- | +| image | キャンバスにレンダリングされた画像 | IMAGE | +| mask | 現在のモデル位置を含むマスク | MASK | +| mesh_path | モデルファイルのパス | STRING | +| normal | 法線マップ | IMAGE | +| lineart | 線画画像の出力。対応する `edge_threshold` はキャンバスのモデルメニューで調整できます。 | IMAGE | +| camera_info | カメラ情報 | LOAD3D_CAMERA | +| recording_video | 録画された動画（録画が存在する場合のみ） | VIDEO | すべての出力プレビュー： ![表示操作デモ](/images/built-in-nodes/Load3D/load3d_outputs.webp) @@ -138,4 +136,6 @@ Load3Dノードのキャンバス領域には、多数の表示操作が含ま 右メニューには主に2つの機能があります。 1. **表示比率のリセット**：ボタンをクリックすると、ビューは設定された幅と高さに従ってキャンバスのレンダリング領域の比率を調整します -2. **動画録画**：現在の3Dビュー操作を動画として録画できます。インポートも可能で、`recording_video` として後続のノードに出力できます。 \ No newline at end of file +2. **動画録画**：現在の3Dビュー操作を動画として録画できます。インポートも可能で、`recording_video` として後続のノードに出力できます。 + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Load3D/ja.md) diff --git a/ja/built-in-nodes/Load3DAnimation.mdx b/ja/built-in-nodes/Load3DAnimation.mdx index 96e1d52c3..93856f0dd 100644 --- a/ja/built-in-nodes/Load3DAnimation.mdx +++ b/ja/built-in-nodes/Load3DAnimation.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Load3DAnimation" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Load3DAnimation/ja.md) - 以下は、ご依頼いただいた英語ドキュメントを日本語に翻訳したものです。 --- @@ -28,23 +26,23 @@ Load3DAnimationノードは、3Dモデルファイルを読み込み、処理す ## 入力 -| パラメータ名 | 型 | 説明 | デフォルト | 範囲 | -|---|---|---|---|---| -| model_file | ファイル選択 | 3Dモデルファイルのパス。アップロードに対応。デフォルトでは `ComfyUI/input/3d/` からモデルファイルを読み込みます。 | - | 対応フォーマット | -| width | INT | キャンバスのレンダリング幅 | 1024 | 1-4096 | -| height | INT | キャンバスのレンダリング高さ | 1024 | 1-4096 | +| パラメータ名 | 説明 | 型 | デフォルト | 範囲 | +| --- | --- | --- | --- | --- | +| model_file | 3Dモデルファイルのパス。アップロードに対応。デフォルトでは `ComfyUI/input/3d/` からモデルファイルを読み込みます。 | ファイル選択 | - | 対応フォーマット | +| width | キャンバスのレンダリング幅 | INT | 1024 | 1-4096 | +| height | キャンバスのレンダリング高さ | INT | 1024 | 1-4096 | ## 出力 -| パラメータ名 | データ型 | 説明 | -|---|---|---| -| image | IMAGE | キャンバスにレンダリングされた画像 | -| mask | MASK | 現在のモデル位置を含むマスク | -| mesh_path | STRING | モデルファイルのパス | -| normal | IMAGE | 法線マップ | -| lineart | IMAGE | 線画画像の出力。対応する `edge_threshold` はキャンバスのモデルメニューで調整できます。 | -| camera_info | LOAD3D_CAMERA | カメラ情報 | -| recording_video | VIDEO | 録画されたビデオ（録画が存在する場合のみ） | +| パラメータ名 | 説明 | データ型 | +| --- | --- | --- | +| image | キャンバスにレンダリングされた画像 | IMAGE | +| mask | 現在のモデル位置を含むマスク | MASK | +| mesh_path | モデルファイルのパス | STRING | +| normal | 法線マップ | IMAGE | +| lineart | 線画画像の出力。対応する `edge_threshold` はキャンバスのモデルメニューで調整できます。 | IMAGE | +| camera_info | カメラ情報 | LOAD3D_CAMERA | +| recording_video | 録画されたビデオ（録画が存在する場合のみ） | VIDEO | すべての出力のプレビュー: ![View Operation Demo](/images/built-in-nodes/Load3DAnimation/load3d_outputs.webp) @@ -145,4 +143,6 @@ Load3Dノードのキャンバス領域には、多数のビュー操作が含 右メニューには2つの主要な機能があります。 1. **ビュー比率のリセット**：ボタンをクリックすると、ビューは設定された幅と高さに従ってキャンバスのレンダリング領域の比率を調整します。 -2. **ビデオ録画**：現在の3Dビュー操作をビデオとして録画できます。インポートも可能で、`recording_video` として後続のノードに出力できます。 \ No newline at end of file +2. **ビデオ録画**：現在の3Dビュー操作をビデオとして録画できます。インポートも可能で、`recording_video` として後続のノードに出力できます。 + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Load3DAnimation/ja.md) diff --git a/ja/built-in-nodes/LoadAudio.mdx b/ja/built-in-nodes/LoadAudio.mdx index 3ea77558a..e10a98d33 100644 --- a/ja/built-in-nodes/LoadAudio.mdx +++ b/ja/built-in-nodes/LoadAudio.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LoadAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadAudio/ja.md) - 以下が翻訳結果です。 ## 概要：概要 @@ -15,17 +13,19 @@ LoadAudioノードは、入力ディレクトリからオーディオファイ ## 入力：入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `オーディオ` | AUDIO | はい | 入力ディレクトリ内のサポートされているすべてのオーディオファイルおよびビデオファイル | 入力ディレクトリから読み込むオーディオファイル | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `オーディオ` | 入力ディレクトリから読み込むオーディオファイル | AUDIO | はい | 入力ディレクトリ内のサポートされているすべてのオーディオファイルおよびビデオファイル | **注記：** このノードは、ComfyUIの入力ディレクトリに存在するオーディオファイルおよびビデオファイルのみを受け付けます。ファイルが存在し、アクセス可能である必要があります。そうでないと正常に読み込めません。 ## 出力：出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `AUDIO` | AUDIO | 波形とサンプルレートの情報を含むオーディオデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `AUDIO` | 波形とサンプルレートの情報を含むオーディオデータ | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadAudio/ja.md) --- **Source fingerprint (SHA-256):** `a7fe63cbbb3a854359189e8685936a2b8b855e22c3c282fc77affacf640af010` diff --git a/ja/built-in-nodes/LoadBackgroundRemovalModel.mdx b/ja/built-in-nodes/LoadBackgroundRemovalModel.mdx index a01d6ca9f..de6bddcde 100644 --- a/ja/built-in-nodes/LoadBackgroundRemovalModel.mdx +++ b/ja/built-in-nodes/LoadBackgroundRemovalModel.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LoadBackgroundRemovalModel" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadBackgroundRemovalModel/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,15 +13,17 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `bg_removal_name` | STRING | はい | 利用可能なモデルファイルの一覧 | 画像から背景を除去するために使用するモデルです。利用可能な背景除去モデルファイルの一覧から選択します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `bg_removal_name` | 画像から背景を除去するために使用するモデルです。利用可能な背景除去モデルファイルの一覧から選択します。 | STRING | はい | 利用可能なモデルファイルの一覧 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `bg_model` | BACKGROUND_REMOVAL | 読み込まれた背景除去モデルです。他のノードで画像を処理するために使用できる状態になっています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `bg_model` | 読み込まれた背景除去モデルです。他のノードで画像を処理するために使用できる状態になっています。 | BACKGROUND_REMOVAL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadBackgroundRemovalModel/ja.md) --- **Source fingerprint (SHA-256):** `63a1ffb37ea8581e3ba29f7dc4f871612d7ec458e6d36f5e2244201941d48f9d` diff --git a/ja/built-in-nodes/LoadImage.mdx b/ja/built-in-nodes/LoadImage.mdx index 14ed877a3..7fa7ef23d 100644 --- a/ja/built-in-nodes/LoadImage.mdx +++ b/ja/built-in-nodes/LoadImage.mdx @@ -5,19 +5,19 @@ sidebarTitle: "LoadImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImage/ja.md) - LoadImageノードは、指定されたパスから画像を読み込み、前処理するために設計されています。複数フレームを持つ画像形式を処理し、EXIFデータに基づく回転などの必要な変換を適用し、ピクセル値を正規化し、オプションでアルファチャンネルを持つ画像のマスクを生成します。このノードは、パイプライン内でのさらなる処理や分析に備えて画像を準備するために不可欠です。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|--------------|-------------| -| `画像` | COMBO[STRING] | `画像`パラメータは、読み込んで処理する画像の識別子を指定します。画像ファイルへのパスを決定し、その後、変換と正規化のために画像を読み込む上で重要です。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | `画像`パラメータは、読み込んで処理する画像の識別子を指定します。画像ファイルへのパスを決定し、その後、変換と正規化のために画像を読み込む上で重要です。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `画像` | `IMAGE` | 処理済みの画像です。ピクセル値が正規化され、必要に応じて変換が適用されています。さらなる処理や分析の準備が整っています。 | -| `mask` | `MASK` | 画像のマスクを提供するオプションの出力です。画像に透明度のためのアルファチャンネルが含まれている場合に有用です。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 処理済みの画像です。ピクセル値が正規化され、必要に応じて変換が適用されています。さらなる処理や分析の準備が整っています。 | `IMAGE` | +| `mask` | 画像のマスクを提供するオプションの出力です。画像に透明度のためのアルファチャンネルが含まれている場合に有用です。 | `MASK` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImage/ja.md) diff --git a/ja/built-in-nodes/LoadImageDataSetFromFolder.mdx b/ja/built-in-nodes/LoadImageDataSetFromFolder.mdx index 4666ff5a5..b3d10879d 100644 --- a/ja/built-in-nodes/LoadImageDataSetFromFolder.mdx +++ b/ja/built-in-nodes/LoadImageDataSetFromFolder.mdx @@ -5,21 +5,21 @@ sidebarTitle: "LoadImageDataSetFromFolder" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/ja.md) - このノードは、ComfyUIの入力ディレクトリ内の指定されたサブフォルダから複数の画像を読み込みます。選択されたフォルダ内の一般的な画像ファイル形式をスキャンし、それらをリストとして返します。バッチ処理やデータセットの準備に便利です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `フォルダ` | STRING | はい | *複数のオプションが利用可能* | 画像を読み込むフォルダです。オプションは、ComfyUIのメイン入力ディレクトリ内にあるサブフォルダです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `フォルダ` | 画像を読み込むフォルダです。オプションは、ComfyUIのメイン入力ディレクトリ内にあるサブフォルダです。 | STRING | はい | *複数のオプションが利用可能* | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `images` | IMAGE | 読み込まれた画像のリストです。このノードは、選択されたフォルダ内にあるすべての有効な画像ファイル（PNG、JPG、JPEG、WEBP）を読み込みます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `images` | 読み込まれた画像のリストです。このノードは、選択されたフォルダ内にあるすべての有効な画像ファイル（PNG、JPG、JPEG、WEBP）を読み込みます。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/ja.md) --- **Source fingerprint (SHA-256):** `0f6e1b3d159f7d7c0c9530350ee057118a2618796f149586bae925253ecc8cf0` diff --git a/ja/built-in-nodes/LoadImageMask.mdx b/ja/built-in-nodes/LoadImageMask.mdx index b384863e8..1fbd3afc8 100644 --- a/ja/built-in-nodes/LoadImageMask.mdx +++ b/ja/built-in-nodes/LoadImageMask.mdx @@ -5,19 +5,19 @@ sidebarTitle: "LoadImageMask" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageMask/ja.md) - LoadImageMask ノードは、指定されたパスから画像とそれに関連するマスクを読み込み、さらなる画像操作や分析タスクとの互換性を確保するために処理を行います。このノードは、マスク用のアルファチャンネルの有無など、さまざまな画像形式や条件を処理し、画像とマスクを標準化された形式に変換して後続の処理に備えます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `画像` | COMBO[STRING] | 「image」パラメータは、読み込んで処理する画像ファイルを指定します。マスク抽出と形式変換のためのソース画像を提供することで、出力を決定する上で重要な役割を果たします。 | -| `チャンネル` | COMBO[STRING] | 「channel」パラメータは、マスクを生成するために使用する画像のカラーチャンネルを指定します。これにより、異なるカラーチャンネルに基づいた柔軟なマスク作成が可能になり、さまざまな画像処理シナリオにおけるノードの有用性が向上します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 「image」パラメータは、読み込んで処理する画像ファイルを指定します。マスク抽出と形式変換のためのソース画像を提供することで、出力を決定する上で重要な役割を果たします。 | COMBO[STRING] | +| `チャンネル` | 「channel」パラメータは、マスクを生成するために使用する画像のカラーチャンネルを指定します。これにより、異なるカラーチャンネルに基づいた柔軟なマスク作成が可能になり、さまざまな画像処理シナリオにおけるノードの有用性が向上します。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `mask` | `MASK` | このノードは、指定された画像とチャンネルから生成されたマスクを出力します。このマスクは、画像操作タスクにおけるさらなる処理に適した標準化された形式で準備されています。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `mask` | このノードは、指定された画像とチャンネルから生成されたマスクを出力します。このマスクは、画像操作タスクにおけるさらなる処理に適した標準化された形式で準備されています。 | `MASK` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageMask/ja.md) diff --git a/ja/built-in-nodes/LoadImageOutput.mdx b/ja/built-in-nodes/LoadImageOutput.mdx index 81878a15a..ce7c1ff56 100644 --- a/ja/built-in-nodes/LoadImageOutput.mdx +++ b/ja/built-in-nodes/LoadImageOutput.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LoadImageOutput" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageOutput/ja.md) - ## 概要 LoadImageOutputノードは、出力フォルダから画像を読み込みます。更新ボタンをクリックすると、利用可能な画像のリストが更新され、最初の画像が自動的に選択されるため、生成した画像を簡単に繰り返し確認できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | COMBO | はい | 複数のオプションから選択 | 出力フォルダから画像を読み込みます。アップロードオプションと、画像リストを更新するための更新ボタンが含まれています。更新ボタンをクリックすると、ノードは画像リストを更新し、最初の画像を自動的に選択するため、簡単に繰り返し処理を行うことができます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 出力フォルダから画像を読み込みます。アップロードオプションと、画像リストを更新するための更新ボタンが含まれています。更新ボタンをクリックすると、ノードは画像リストを更新し、最初の画像を自動的に選択するため、簡単に繰り返し処理を行うことができます。 | COMBO | はい | 複数のオプションから選択 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 出力フォルダから読み込まれた画像 | -| `mask` | MASK | 読み込まれた画像に関連付けられたマスク | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 出力フォルダから読み込まれた画像 | IMAGE | +| `mask` | 読み込まれた画像に関連付けられたマスク | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageOutput/ja.md) --- **Source fingerprint (SHA-256):** `d1de0140765c9d5dd393715faa84dc5c3f0e49117391b8823a51b176bcb568d8` diff --git a/ja/built-in-nodes/LoadImageSetFromFolderNode.mdx b/ja/built-in-nodes/LoadImageSetFromFolderNode.mdx index 7f45b2fb5..f9a68001a 100644 --- a/ja/built-in-nodes/LoadImageSetFromFolderNode.mdx +++ b/ja/built-in-nodes/LoadImageSetFromFolderNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LoadImageSetFromFolderNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetFromFolderNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,16 +12,18 @@ LoadImageSetFromFolderNode は、指定されたフォルダディレクトリ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `folder` | STRING | はい | 複数のオプションが利用可能 | 画像を読み込むフォルダを指定します。 | -| `resize_method` | STRING | いいえ | "None"
"Stretch"
"Crop"
"Pad" | 画像のリサイズ方法を指定します（デフォルト："None"）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `folder` | 画像を読み込むフォルダを指定します。 | STRING | はい | 複数のオプションが利用可能 | +| `resize_method` | 画像のリサイズ方法を指定します（デフォルト："None"）。 | STRING | いいえ | "None"
"Stretch"
"Crop"
"Pad" | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | 読み込まれた画像のバッチを単一のテンソルとして返します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | 読み込まれた画像のバッチを単一のテンソルとして返します。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetFromFolderNode/ja.md) --- **Source fingerprint (SHA-256):** `46fcfbf6a2ad95e707e32e54ed7b4c06bfd1cc290df122042187689f41bed828` diff --git a/ja/built-in-nodes/LoadImageSetNode.mdx b/ja/built-in-nodes/LoadImageSetNode.mdx index d5fcc0f7e..58360f5e0 100644 --- a/ja/built-in-nodes/LoadImageSetNode.mdx +++ b/ja/built-in-nodes/LoadImageSetNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "LoadImageSetNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetNode/ja.md) - ## 概要 LoadImageSetNode は、バッチ処理やトレーニング目的のために、入力ディレクトリから複数の画像を読み込みます。さまざまな画像形式に対応しており、必要に応じて異なる方法で画像をリサイズすることも可能です。このノードは、選択されたすべての画像をバッチとして処理し、単一のテンソルとして返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | 複数の画像ファイル | 入力ディレクトリから複数の画像を選択します。PNG、JPG、JPEG、WEBP、BMP、GIF、JPE、APNG、TIF、TIFF形式に対応しています。画像のバッチ選択が可能です。 | -| `resize_method` | STRING | いいえ | "None"
"Stretch"
"Crop"
"Pad" | 読み込んだ画像をリサイズする方法を指定します（デフォルト："None"）。"None"を選択すると元のサイズを維持し、"Stretch"で強制的にリサイズ、"Crop"でアスペクト比を維持しながらトリミング、"Pad"でアスペクト比を維持しながらパディングを追加します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `images` | 入力ディレクトリから複数の画像を選択します。PNG、JPG、JPEG、WEBP、BMP、GIF、JPE、APNG、TIF、TIFF形式に対応しています。画像のバッチ選択が可能です。 | IMAGE | はい | 複数の画像ファイル | +| `resize_method` | 読み込んだ画像をリサイズする方法を指定します（デフォルト："None"）。"None"を選択すると元のサイズを維持し、"Stretch"で強制的にリサイズ、"Crop"でアスペクト比を維持しながらトリミング、"Pad"でアスペクト比を維持しながらパディングを追加します。 | STRING | いいえ | "None"
"Stretch"
"Crop"
"Pad" | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | 読み込まれたすべての画像をバッチとして含むテンソルです。後続の処理に使用します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | 読み込まれたすべての画像をバッチとして含むテンソルです。後続の処理に使用します。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetNode/ja.md) --- **Source fingerprint (SHA-256):** `acf0255bcf170ef3ac3b86a3f3e060c3b81064ca8924918a026ec8e3b86f7ac0` diff --git a/ja/built-in-nodes/LoadImageTextDataSetFromFolder.mdx b/ja/built-in-nodes/LoadImageTextDataSetFromFolder.mdx index 809c81fd2..c47b6677b 100644 --- a/ja/built-in-nodes/LoadImageTextDataSetFromFolder.mdx +++ b/ja/built-in-nodes/LoadImageTextDataSetFromFolder.mdx @@ -5,26 +5,26 @@ sidebarTitle: "LoadImageTextDataSetFromFolder" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/en.md) このノードは、指定されたフォルダから画像とそれに対応するテキストキャプションのデータセットを読み込みます。画像ファイルを検索し、同じベース名を持つ一致する`.txt`ファイルを自動的に探してキャプションとして使用します。また、サブフォルダ名に数字のプレフィックス（例：`10_folder_name`）を付けることで、そのフォルダ内の画像を出力時に指定回数繰り返す特別なフォルダ構造にも対応しています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `フォルダ` | COMBO | はい | *`folder_paths.get_input_subfolders()` から動的に読み込まれます* | 画像を読み込むフォルダです。利用可能なオプションは、ComfyUIの入力ディレクトリ内のサブディレクトリです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `フォルダ` | 画像を読み込むフォルダです。利用可能なオプションは、ComfyUIの入力ディレクトリ内のサブディレクトリです。 | COMBO | はい | *`folder_paths.get_input_subfolders()` から動的に読み込まれます* | **注意：** このノードは特定のファイル構造を想定しています。各画像ファイル（`.png`、`.jpg`、`.jpeg`、`.webp`）に対して、同じ名前の`.txt`ファイルをキャプションとして探します。キャプションファイルが見つからない場合は、空の文字列が使用されます。また、サブフォルダ名が数字とアンダースコアで始まる場合（例：`5_cats`）は、そのサブフォルダ内のすべての画像が最終出力リストでその回数だけ繰り返される特別な構造にも対応しています。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `テキスト` | IMAGE | 読み込まれた画像テンソルのリストです。 | -| `texts` | STRING | 各読み込まれた画像に対応するテキストキャプションのリストです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `テキスト` | 読み込まれた画像テンソルのリストです。 | IMAGE | +| `texts` | 各読み込まれた画像に対応するテキストキャプションのリストです。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/ja.md) --- **Source fingerprint (SHA-256):** `e176f35118f08ea397c63f5b6f347d9cdb3dc1a08db7ad7a5cc8255e1526e6ca` diff --git a/ja/built-in-nodes/LoadImageTextSetFromFolderNode.mdx b/ja/built-in-nodes/LoadImageTextSetFromFolderNode.mdx index eecef8fd6..3d04f2ba6 100644 --- a/ja/built-in-nodes/LoadImageTextSetFromFolderNode.mdx +++ b/ja/built-in-nodes/LoadImageTextSetFromFolderNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LoadImageTextSetFromFolderNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextSetFromFolderNode/ja.md) - あなたは ComfyUI ノードドキュメントを英語から日本語に翻訳する技術翻訳の専門家です。 ## 翻訳ルール @@ -39,13 +37,13 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `folder` | STRING | はい | - | 画像を読み込むフォルダを指定します。 | -| `clip` | CLIP | はい | - | テキストのエンコードに使用するCLIPモデルです。 | -| `resize_method` | COMBO | いいえ | "None"
"Stretch"
"Crop"
"Pad" | 画像のリサイズ方法です（デフォルト："None"）。 | -| `width` | INT | いいえ | -1 ～ 10000 | 画像のリサイズ後の幅です。-1は元の幅を使用します（デフォルト：-1）。 | -| `height` | INT | いいえ | -1 ～ 10000 | 画像のリサイズ後の高さです。-1は元の高さを使用します（デフォルト：-1）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `folder` | 画像を読み込むフォルダを指定します。 | STRING | はい | - | +| `clip` | テキストのエンコードに使用するCLIPモデルです。 | CLIP | はい | - | +| `resize_method` | 画像のリサイズ方法です（デフォルト："None"）。 | COMBO | いいえ | "None"
"Stretch"
"Crop"
"Pad" | +| `width` | 画像のリサイズ後の幅です。-1は元の幅を使用します（デフォルト：-1）。 | INT | いいえ | -1 ～ 10000 | +| `height` | 画像のリサイズ後の高さです。-1は元の高さを使用します（デフォルト：-1）。 | INT | いいえ | -1 ～ 10000 | **注意：** CLIP入力は有効である必要があり、Noneにすることはできません。チェックポイントローダーノードからCLIPモデルを取得する場合は、チェックポイントに有効なCLIPまたはテキストエンコーダーモデルが含まれていることを確認してください。 @@ -53,10 +51,12 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | 読み込まれ、処理された画像のバッチです。 | -| `CONDITIONING` | CONDITIONING | テキストキャプションからエンコードされたコンディショニングデータです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | 読み込まれ、処理された画像のバッチです。 | IMAGE | +| `CONDITIONING` | テキストキャプションからエンコードされたコンディショニングデータです。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextSetFromFolderNode/ja.md) --- **Source fingerprint (SHA-256):** `ffd6399783fc281a58bae811112d9ecacb51ab8ea3b512befa9b9fab2c6860de` diff --git a/ja/built-in-nodes/LoadLatent.mdx b/ja/built-in-nodes/LoadLatent.mdx index 30e0f8cea..ee9c9dfa1 100644 --- a/ja/built-in-nodes/LoadLatent.mdx +++ b/ja/built-in-nodes/LoadLatent.mdx @@ -5,21 +5,21 @@ sidebarTitle: "LoadLatent" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadLatent/ja.md) - LoadLatentノードは、入力ディレクトリ内の.latentファイルから、以前に保存された潜在表現を読み込みます。ファイルから潜在テンソルデータを読み取り、必要なスケーリング調整を適用した後、他のノードで使用できるように潜在データを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `latent` | STRING | はい | 入力ディレクトリ内のすべての.latentファイル | 入力ディレクトリ内の利用可能なファイルから、読み込む.latentファイルを選択します | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `latent` | 入力ディレクトリ内の利用可能なファイルから、読み込む.latentファイルを選択します | STRING | はい | 入力ディレクトリ内のすべての.latentファイル | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `LATENT` | LATENT | 選択されたファイルから読み込まれた潜在表現データを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `LATENT` | 選択されたファイルから読み込まれた潜在表現データを返します | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadLatent/ja.md) --- **Source fingerprint (SHA-256):** `020185a6066263b75b2417411f07af54d31a2a3a056d650eacfff188dc2cb87e` diff --git a/ja/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx b/ja/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx index 363f70340..8ad8142c8 100644 --- a/ja/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx +++ b/ja/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LoadMediaPipeFaceLandmarker" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ja.md) - 以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。 --- @@ -17,17 +15,19 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_name` | STRING | はい | `models/detection/` ディレクトリ内の利用可能なモデルのリスト | `models/detection/` からの顔検出モデル。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_name` | `models/detection/` からの顔検出モデル。 | STRING | はい | `models/detection/` ディレクトリ内の利用可能なモデルのリスト | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | 読み込まれた FaceLandmarker モデルオブジェクト。近距離用と全域用の両方の検出バリアント、顔のトポロジーに関する接続セット、標準データ、および GPU 管理用のモデルパッチャーが含まれています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `FACE_DETECTION_MODEL` | 読み込まれた FaceLandmarker モデルオブジェクト。近距離用と全域用の両方の検出バリアント、顔のトポロジーに関する接続セット、標準データ、および GPU 管理用のモデルパッチャーが含まれています。 | FACE_DETECTION_MODEL | **注意:** 出力は複雑なオブジェクトであり、他のノードで顔検出やランドマーク抽出タスクに使用できます。これには、「short」（近距離検出用）と「full」（全域検出用）の2つの検出バリアントが含まれています。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ja.md) + --- **Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26` diff --git a/ja/built-in-nodes/LoadMoGeModel.mdx b/ja/built-in-nodes/LoadMoGeModel.mdx index 01fb5d4ff..085521e16 100644 --- a/ja/built-in-nodes/LoadMoGeModel.mdx +++ b/ja/built-in-nodes/LoadMoGeModel.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LoadMoGeModel" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,15 +13,17 @@ MoGe（単眼幾何学）モデルをファイルから読み込み、幾何学 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_name` | STRING | はい | `geometry_estimation` フォルダ内の利用可能なモデルファイルのリスト | 読み込む MoGe モデルファイルの名前です。ComfyUI インストール内の利用可能なモデルファイルから選択します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_name` | 読み込む MoGe モデルファイルの名前です。ComfyUI インストール内の利用可能なモデルファイルから選択します。 | STRING | はい | `geometry_estimation` フォルダ内の利用可能なモデルファイルのリスト | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MOGE_MODEL` | MOGE_MODEL | 読み込まれた MoGe モデルインスタンス。幾何学推定ワークフローで使用できる状態です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MOGE_MODEL` | 読み込まれた MoGe モデルインスタンス。幾何学推定ワークフローで使用できる状態です。 | MOGE_MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/ja.md) --- **Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1` diff --git a/ja/built-in-nodes/LoadTrainingDataset.mdx b/ja/built-in-nodes/LoadTrainingDataset.mdx index dbe465c4c..ac9cf0068 100644 --- a/ja/built-in-nodes/LoadTrainingDataset.mdx +++ b/ja/built-in-nodes/LoadTrainingDataset.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LoadTrainingDataset" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/ja.md) - 以下が翻訳結果です。 このドキュメントは AI によって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/en.md) @@ -15,16 +13,18 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `folder_name` | STRING | はい | N/A | 保存されたデータセットが含まれるフォルダの名前。ComfyUI の出力ディレクトリ内に配置されます（デフォルト: "training_dataset"）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `folder_name` | 保存されたデータセットが含まれるフォルダの名前。ComfyUI の出力ディレクトリ内に配置されます（デフォルト: "training_dataset"）。 | STRING | はい | N/A | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `conditioning` | LATENT | 潜在辞書のリスト。各辞書にはテンソルを含む `"samples"` キーが含まれます。 | -| `conditioning` | CONDITIONING | コンディショニングリストのリスト。各内部リストには、対応するサンプルのコンディショニングデータが含まれます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `conditioning` | 潜在辞書のリスト。各辞書にはテンソルを含む `"samples"` キーが含まれます。 | LATENT | +| `conditioning` | コンディショニングリストのリスト。各内部リストには、対応するサンプルのコンディショニングデータが含まれます。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/ja.md) --- **Source fingerprint (SHA-256):** `0a07c97e2c6a32f77cd21ea7dbdd33e06fad82285696b88122fef369307e133d` diff --git a/ja/built-in-nodes/LoadVideo.mdx b/ja/built-in-nodes/LoadVideo.mdx index 4e43ac884..d2ce2dc66 100644 --- a/ja/built-in-nodes/LoadVideo.mdx +++ b/ja/built-in-nodes/LoadVideo.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LoadVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadVideo/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 --- @@ -15,17 +13,19 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|------|-------|-------------| -| `ファイル` | STRING | はい | 複数のオプションから選択可能 | 入力ディレクトリから読み込むビデオファイルです。ドロップダウンリストには、ComfyUI の入力フォルダ内にあるすべてのビデオファイルが動的に表示されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ファイル` | 入力ディレクトリから読み込むビデオファイルです。ドロップダウンリストには、ComfyUI の入力フォルダ内にあるすべてのビデオファイルが動的に表示されます。 | STRING | はい | 複数のオプションから選択可能 | **注記：** `file` パラメータの選択肢は、入力ディレクトリに存在するビデオファイルから動的に生成されます。サポートされているコンテンツタイプのビデオファイルのみが表示されます。また、ノードのファイル選択インターフェースから直接新しいビデオファイルをアップロードすることもできます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video` | VIDEO | 読み込まれたビデオデータです。他のビデオ処理ノードに渡して、さらなる加工や解析を行うことができます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video` | 読み込まれたビデオデータです。他のビデオ処理ノードに渡して、さらなる加工や解析を行うことができます。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadVideo/ja.md) --- **Source fingerprint (SHA-256):** `e3d18eb43cba34734761b5b147d9fee91fe3ca99db21f9e19a130efc3349cecb` diff --git a/ja/built-in-nodes/LoraLoader.mdx b/ja/built-in-nodes/LoraLoader.mdx index 51fd6f549..a997904cd 100644 --- a/ja/built-in-nodes/LoraLoader.mdx +++ b/ja/built-in-nodes/LoraLoader.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LoraLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoader/ja.md) - このノードは、LoRAフォルダ（サブフォルダを含む）内にあるモデルを自動的に検出します。対応するモデルパスは `ComfyUI\models\loras` です。詳細については、「LoRAモデルのインストール」を参照してください。 LoRAローダーノードは、主にLoRAモデルを読み込むために使用します。LoRAモデルは、画像に特定のスタイル、コンテンツ、詳細を与えることができるフィルターのようなものと考えてください。 @@ -21,17 +19,19 @@ LoRAローダーノードは、主にLoRAモデルを読み込むために使用 ## 入力 -| パラメータ | データ型 | 説明 | +| パラメータ | 説明 | データ型 | | --- | --- | --- | -| `モデル` | MODEL | 通常、ベースモデルに接続するために使用します | -| `クリップ` | CLIP | 通常、CLIPモデルに接続するために使用します | -| `lora_name` | COMBO[STRING] | 使用するLoRAモデルの名前を選択します | -| `モデルの強度` | FLOAT | 値の範囲は -100.0 から 100.0 で、日常的な画像生成では通常 0～1 の間で使用します。値が大きいほどモデル調整効果が顕著になります | -| `クリップの強度` | FLOAT | 値の範囲は -100.0 から 100.0 で、日常的な画像生成では通常 0～1 の間で使用します。値が大きいほどモデル調整効果が顕著になります | +| `モデル` | 通常、ベースモデルに接続するために使用します | MODEL | +| `クリップ` | 通常、CLIPモデルに接続するために使用します | CLIP | +| `lora_name` | 使用するLoRAモデルの名前を選択します | COMBO[STRING] | +| `モデルの強度` | 値の範囲は -100.0 から 100.0 で、日常的な画像生成では通常 0～1 の間で使用します。値が大きいほどモデル調整効果が顕著になります | FLOAT | +| `クリップの強度` | 値の範囲は -100.0 から 100.0 で、日常的な画像生成では通常 0～1 の間で使用します。値が大きいほどモデル調整効果が顕著になります | FLOAT | ## 出力 -| パラメータ | データ型 | 説明 | +| パラメータ | 説明 | データ型 | | --- | --- | --- | -| `モデル` | MODEL | LoRA調整が適用されたモデル | -| `クリップ` | CLIP | LoRA調整が適用されたCLIPインスタンス | \ No newline at end of file +| `モデル` | LoRA調整が適用されたモデル | MODEL | +| `クリップ` | LoRA調整が適用されたCLIPインスタンス | CLIP | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoader/ja.md) diff --git a/ja/built-in-nodes/LoraLoaderBypass.mdx b/ja/built-in-nodes/LoraLoaderBypass.mdx index 702434f2e..1e2019f68 100644 --- a/ja/built-in-nodes/LoraLoaderBypass.mdx +++ b/ja/built-in-nodes/LoraLoaderBypass.mdx @@ -5,30 +5,30 @@ sidebarTitle: "LoraLoaderBypass" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypass/ja.md) - 以下が翻訳結果です。 LoraLoaderBypass ノードは、特別な「バイパス」モードで拡散モデルと CLIP モデルに LoRA（低ランク適応）を適用します。標準の LoRA ローダーとは異なり、この方法はベースモデルの重みを恒久的に変更しません。代わりに、モデルの通常のフォワードパスに LoRA の効果を加算して出力を計算します。これは、トレーニング時や重みがオフロードされたモデルを扱う場合に便利です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | LoRA を適用する拡散モデル。 | -| `clip` | CLIP | はい | - | LoRA を適用する CLIP モデル。 | -| `lora_name` | COMBO | はい | *利用可能な LoRA ファイルのリスト* | 適用する LoRA ファイルの名前。オプションは `loras` フォルダから読み込まれます。 | -| `strength_model` | FLOAT | はい | -100.0 ～ 100.0 | 拡散モデルを変更する強さ。この値は負の値にすることもできます（デフォルト：1.0）。 | -| `strength_clip` | FLOAT | はい | -100.0 ～ 100.0 | CLIP モデルを変更する強さ。この値は負の値にすることもできます（デフォルト：1.0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | LoRA を適用する拡散モデル。 | MODEL | はい | - | +| `clip` | LoRA を適用する CLIP モデル。 | CLIP | はい | - | +| `lora_name` | 適用する LoRA ファイルの名前。オプションは `loras` フォルダから読み込まれます。 | COMBO | はい | *利用可能な LoRA ファイルのリスト* | +| `strength_model` | 拡散モデルを変更する強さ。この値は負の値にすることもできます（デフォルト：1.0）。 | FLOAT | はい | -100.0 ～ 100.0 | +| `strength_clip` | CLIP モデルを変更する強さ。この値は負の値にすることもできます（デフォルト：1.0）。 | FLOAT | はい | -100.0 ～ 100.0 | **注記：** `strength_model` と `strength_clip` の両方が 0 に設定されている場合、ノードは処理を行わずに元の変更されていない `model` と `clip` の入力を返します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MODEL` | MODEL | バイパスモードで LoRA が適用された拡散モデル。 | -| `CLIP` | CLIP | バイパスモードで LoRA が適用された CLIP モデル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MODEL` | バイパスモードで LoRA が適用された拡散モデル。 | MODEL | +| `CLIP` | バイパスモードで LoRA が適用された CLIP モデル。 | CLIP | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypass/ja.md) --- **Source fingerprint (SHA-256):** `2642f4ed98457e5fd08e2103ffb9f2c02f11326590aadf0636fb7db51f484815` diff --git a/ja/built-in-nodes/LoraLoaderBypassModelOnly.mdx b/ja/built-in-nodes/LoraLoaderBypassModelOnly.mdx index f5812e5cf..0732c6c12 100644 --- a/ja/built-in-nodes/LoraLoaderBypassModelOnly.mdx +++ b/ja/built-in-nodes/LoraLoaderBypassModelOnly.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LoraLoaderBypassModelOnly" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypassModelOnly/ja.md) - このノードは、LoRA（Low-Rank Adaptation）をモデルに適用してその動作を変更しますが、モデルコンポーネント自体のみに影響を与えます。指定されたLoRAファイルを読み込み、指定された強度でモデルの重みを調整し、CLIPテキストエンコーダーなどの他のコンポーネントは変更しません。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | LoRA調整が適用されるベースモデルです。 | -| `lora_name` | STRING | はい | （利用可能なLoRAファイルのリスト） | 読み込んで適用するLoRAファイルの名前です。`loras`ディレクトリ内のファイルからオプションが設定されます。 | -| `strength_model` | FLOAT | はい | -100.0 ～ 100.0 | モデルの重みに対するLoRAの効果の強度です。正の値はLoRAを適用し、負の値は逆効果を適用し、0の値は効果がありません（デフォルト：1.0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | LoRA調整が適用されるベースモデルです。 | MODEL | はい | - | +| `lora_name` | 読み込んで適用するLoRAファイルの名前です。`loras`ディレクトリ内のファイルからオプションが設定されます。 | STRING | はい | （利用可能なLoRAファイルのリスト） | +| `strength_model` | モデルの重みに対するLoRAの効果の強度です。正の値はLoRAを適用し、負の値は逆効果を適用し、0の値は効果がありません（デフォルト：1.0）。 | FLOAT | はい | -100.0 ～ 100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | LoRA調整が重みに適用された変更後のモデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | LoRA調整が重みに適用された変更後のモデルです。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypassModelOnly/ja.md) --- **Source fingerprint (SHA-256):** `e0e1ad2d6481a1b9771d7eae833ffab0737a967d4af6e57b946d1b2223fe45bf` diff --git a/ja/built-in-nodes/LoraLoaderModelOnly.mdx b/ja/built-in-nodes/LoraLoaderModelOnly.mdx index f6bd0a471..ebea7eac0 100644 --- a/ja/built-in-nodes/LoraLoaderModelOnly.mdx +++ b/ja/built-in-nodes/LoraLoaderModelOnly.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LoraLoaderModelOnly" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderModelOnly/ja.md) - このノードは、`ComfyUI/models/loras` フォルダ内にあるモデルを検出し、さらに extra_model_paths.yaml ファイルで設定された追加パスからもモデルを読み取ります。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み取らせる必要があります。 このノードは、CLIP モデルを必要とせずに LoRA モデルを読み込むことに特化しており、LoRA パラメータに基づいて特定のモデルを強化または変更することに重点を置いています。LoRA パラメータを通じてモデルの強度を動的に調整できるため、モデルの動作を細かく制御できます。 ## 入力 -| フィールド | Comfy データ型 | 説明 | -|-------------------|-------------------|-----------------------------------------------------------------------------------------------| -| `モデル` | `MODEL` | 変更の対象となるベースモデルです。LoRA による調整が適用されます。 | -| `lora_name` | `COMBO[STRING]` | 読み込む LoRA ファイルの名前を指定します。モデルに適用する調整内容を指定します。 | -| `モデルの強度` | `FLOAT` | LoRA 調整の強度を決定します。値が大きいほど、より強い変更が適用されます。 | +| フィールド | 説明 | Comfy データ型 | +| --- | --- | --- | +| `モデル` | 変更の対象となるベースモデルです。LoRA による調整が適用されます。 | `MODEL` | +| `lora_name` | 読み込む LoRA ファイルの名前を指定します。モデルに適用する調整内容を指定します。 | `COMBO[STRING]` | +| `モデルの強度` | LoRA 調整の強度を決定します。値が大きいほど、より強い変更が適用されます。 | `FLOAT` | ## 出力 -| フィールド | データ型 | 説明 | -|---------|-------------|--------------------------------------------------------------------------| -| `モデル` | `MODEL` | LoRA 調整が適用された変更後のモデルです。モデルの動作や機能の変化を反映します。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | LoRA 調整が適用された変更後のモデルです。モデルの動作や機能の変化を反映します。 | `MODEL` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderModelOnly/ja.md) diff --git a/ja/built-in-nodes/LoraModelLoader.mdx b/ja/built-in-nodes/LoraModelLoader.mdx index e89488834..ed2da4da6 100644 --- a/ja/built-in-nodes/LoraModelLoader.mdx +++ b/ja/built-in-nodes/LoraModelLoader.mdx @@ -5,26 +5,26 @@ sidebarTitle: "LoraModelLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraModelLoader/ja.md) - LoraModelLoaderノードは、学習済みのLoRA（Low-Rank Adaptation）重みを拡散モデルに適用します。学習済みLoRAモデルから重みを読み込み、その影響度を調整することで、ベースモデルを変更します。これにより、ゼロから再学習することなく、拡散モデルの動作をカスタマイズできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | LoRAが適用される拡散モデルです。 | -| `LoRA` | LORA_MODEL | はい | - | 拡散モデルに適用するLoRAモデルです。 | -| `モデル強度` | FLOAT | はい | -100.0 ～ 100.0 | 拡散モデルをどの程度変更するかを指定します。負の値も設定可能です（デフォルト：1.0）。 | -| `バイパス` | BOOLEAN | はい | True または False | 有効にすると、ベースモデルの重みを変更せずにバイパスモードでLoRAを適用します。トレーニング時やモデル重みがオフロードされている場合に便利です（デフォルト：False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | LoRAが適用される拡散モデルです。 | MODEL | はい | - | +| `LoRA` | 拡散モデルに適用するLoRAモデルです。 | LORA_MODEL | はい | - | +| `モデル強度` | 拡散モデルをどの程度変更するかを指定します。負の値も設定可能です（デフォルト：1.0）。 | FLOAT | はい | -100.0 ～ 100.0 | +| `バイパス` | 有効にすると、ベースモデルの重みを変更せずにバイパスモードでLoRAを適用します。トレーニング時やモデル重みがオフロードされている場合に便利です（デフォルト：False）。 | BOOLEAN | はい | True または False | **注記：** `strength_model`が0に設定されている場合、ノードはLoRA変更を適用せずに元のモデルを返します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | LoRA重みが適用された変更後の拡散モデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | LoRA重みが適用された変更後の拡散モデルです。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraModelLoader/ja.md) --- **Source fingerprint (SHA-256):** `82afa7dbbc990f1a9f202f920aaf8fad7fe69dc35e75ed8a95eb63c9dec74961` diff --git a/ja/built-in-nodes/LoraSave.mdx b/ja/built-in-nodes/LoraSave.mdx index 4c06565ff..3b4e0466b 100644 --- a/ja/built-in-nodes/LoraSave.mdx +++ b/ja/built-in-nodes/LoraSave.mdx @@ -5,30 +5,30 @@ sidebarTitle: "LoraSave" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraSave/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraSave/en.md) LoraSaveノードは、モデルの差分からLoRA（Low-Rank Adaptation）ファイルを抽出して保存します。拡散モデルの差分、テキストエンコーダの差分、またはその両方を処理し、指定されたランクとタイプでLoRA形式に変換します。生成されたLoRAファイルは、後で使用するために出力ディレクトリに保存されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ファイル名のプレフィックス` | STRING | はい | - | 出力ファイル名のプレフィックス（デフォルト："loras/ComfyUI_extracted_lora"） | -| `ランク` | INT | はい | 1-4096 | LoRAのランク値。サイズと複雑さを制御します（デフォルト：8） | -| `lora_type` | COMBO | はい | `"standard"`
`"locon"`
`"loha"`
`"lokr"`
`"dylora"` | 作成するLoRAのタイプ（デフォルト："standard"） | -| `バイアスの差` | BOOLEAN | はい | - | LoRA計算にバイアス差分を含めるかどうか（デフォルト：True） | -| `モデルの差` | MODEL | いいえ | - | LoRAに変換するModelSubtractの出力 | -| `テキストエンコーダの差` | CLIP | いいえ | - | LoRAに変換するCLIPSubtractの出力 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ファイル名のプレフィックス` | 出力ファイル名のプレフィックス（デフォルト："loras/ComfyUI_extracted_lora"） | STRING | はい | - | +| `ランク` | LoRAのランク値。サイズと複雑さを制御します（デフォルト：8） | INT | はい | 1-4096 | +| `lora_type` | 作成するLoRAのタイプ（デフォルト："standard"） | COMBO | はい | `"standard"`
`"locon"`
`"loha"`
`"lokr"`
`"dylora"` | +| `バイアスの差` | LoRA計算にバイアス差分を含めるかどうか（デフォルト：True） | BOOLEAN | はい | - | +| `モデルの差` | LoRAに変換するModelSubtractの出力 | MODEL | いいえ | - | +| `テキストエンコーダの差` | LoRAに変換するCLIPSubtractの出力 | CLIP | いいえ | - | **注記：** ノードを機能させるには、`model_diff`または`text_encoder_diff`の少なくとも一方を指定する必要があります。両方を省略した場合、ノードは出力を生成しません。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| - | - | このノードはLoRAファイルを出力ディレクトリに保存しますが、ワークフローを通じてデータを返しません | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| - | このノードはLoRAファイルを出力ディレクトリに保存しますが、ワークフローを通じてデータを返しません | - | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraSave/ja.md) --- **Source fingerprint (SHA-256):** `fdf020915ee233cf68250dcdcf87e7862d13ccc4fa73d8da8245727fdac46015` diff --git a/ja/built-in-nodes/LossGraphNode.mdx b/ja/built-in-nodes/LossGraphNode.mdx index efaa38e2d..3c2c53843 100644 --- a/ja/built-in-nodes/LossGraphNode.mdx +++ b/ja/built-in-nodes/LossGraphNode.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LossGraphNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LossGraphNode/ja.md) - このLossGraphNodeは、トレーニング損失値の経時変化を視覚的なグラフとして作成し、プレビュー画像として表示します。トレーニングプロセスからの損失データを受け取り、トレーニングステップ全体での損失の変化を示す折れ線グラフを生成します。生成されたグラフには、軸ラベルと最小/最大損失値が含まれます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `損失` | LOSS_MAP | はい | - | トレーニングノードからの損失マップです。 | -| `ファイル名プレフィックス` | STRING | はい | - | 保存される損失グラフ画像のプレフィックスです。（デフォルト："loss_graph"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `損失` | トレーニングノードからの損失マップです。 | LOSS_MAP | はい | - | +| `ファイル名プレフィックス` | 保存される損失グラフ画像のプレフィックスです。（デフォルト："loss_graph"） | STRING | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ui.images` | IMAGE | プレビューとして表示される生成された損失グラフ画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ui.images` | プレビューとして表示される生成された損失グラフ画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LossGraphNode/ja.md) --- **Source fingerprint (SHA-256):** `9b1c844cb4babafc61102ee7bfd1039c325c6665abff1721d92a6da7d18029f9` diff --git a/ja/built-in-nodes/LotusConditioning.mdx b/ja/built-in-nodes/LotusConditioning.mdx index 421eb83dc..6d1e08cbe 100644 --- a/ja/built-in-nodes/LotusConditioning.mdx +++ b/ja/built-in-nodes/LotusConditioning.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LotusConditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LotusConditioning/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LotusConditioning/en.md) LotusConditioningノードは、Lotusモデル用に事前計算された条件付け埋め込みを提供します。このノードは、ヌル条件付けを備えた凍結エンコーダーを使用し、推論や大規模なテンソルファイルの読み込みを必要とせずに、ハードコードされたプロンプト埋め込みを返すことで、リファレンス実装との同等性を実現します。このノードは、生成パイプラインで直接使用可能な固定条件付けテンソルを出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| *入力なし* | - | - | - | このノードは入力パラメータを受け付けません。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| *入力なし* | このノードは入力パラメータを受け付けません。 | - | - | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `conditioning` | CONDITIONING | Lotusモデル用の事前計算された条件付け埋め込み。固定プロンプト埋め込みと空の辞書を含みます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `conditioning` | Lotusモデル用の事前計算された条件付け埋め込み。固定プロンプト埋め込みと空の辞書を含みます。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LotusConditioning/ja.md) --- **Source fingerprint (SHA-256):** `aa428f8c355e2840dadbf634fe27d20c7c323dbe8c21255b40f4dafa12e4a0d0` diff --git a/ja/built-in-nodes/LtxvApiImageToVideo.mdx b/ja/built-in-nodes/LtxvApiImageToVideo.mdx index 1971087ab..3182422b4 100644 --- a/ja/built-in-nodes/LtxvApiImageToVideo.mdx +++ b/ja/built-in-nodes/LtxvApiImageToVideo.mdx @@ -5,23 +5,21 @@ sidebarTitle: "LtxvApiImageToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiImageToVideo/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md) LTXV Image To Video ノードは、1枚の開始画像からプロフェッショナル品質の動画を生成します。外部APIを使用して、テキストプロンプトに基づいた動画シーケンスを作成し、長さ、解像度、フレームレートをカスタマイズすることができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 動画の最初のフレームとして使用する画像です。 | -| `モデル` | COMBO | はい | `"LTX-2 (Fast)"`
`"LTX-2 (Quality)"` | 動画生成に使用するAIモデルです。「Fast」モデルは速度を最適化し、「Quality」モデルは視覚的な忠実度を優先します。 | -| `プロンプト` | STRING | はい | - | 生成される動画の内容と動きをガイドするテキストによる説明です。 | -| `長さ` | COMBO | はい | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | 動画の長さ（秒単位）です（デフォルト：8）。 | -| `解像度` | COMBO | はい | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | 生成される動画の出力解像度です。 | -| `fps` | COMBO | はい | `25`
`50` | 動画のフレームレート（1秒あたりのフレーム数）です（デフォルト：25）。 | -| `オーディオ生成` | BOOLEAN | いいえ | - | trueに設定すると、生成される動画にシーンに合わせたAI生成オーディオが含まれます（デフォルト：False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 動画の最初のフレームとして使用する画像です。 | IMAGE | はい | - | +| `モデル` | 動画生成に使用するAIモデルです。「Fast」モデルは速度を最適化し、「Quality」モデルは視覚的な忠実度を優先します。 | COMBO | はい | `"LTX-2 (Fast)"`
`"LTX-2 (Quality)"` | +| `プロンプト` | 生成される動画の内容と動きをガイドするテキストによる説明です。 | STRING | はい | - | +| `長さ` | 動画の長さ（秒単位）です（デフォルト：8）。 | COMBO | はい | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | +| `解像度` | 生成される動画の出力解像度です。 | COMBO | はい | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | +| `fps` | 動画のフレームレート（1秒あたりのフレーム数）です（デフォルト：25）。 | COMBO | はい | `25`
`50` | +| `オーディオ生成` | trueに設定すると、生成される動画にシーンに合わせたAI生成オーディオが含まれます（デフォルト：False）。 | BOOLEAN | いいえ | - | **重要な制約事項：** @@ -31,9 +29,11 @@ LTXV Image To Video ノードは、1枚の開始画像からプロフェッシ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video` | VIDEO | 生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video` | 生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiImageToVideo/ja.md) --- **Source fingerprint (SHA-256):** `af891b45997173c3210d3de4f7b6bd05b14e9d3bf8a94dcb2c1ce08038b7d99d` diff --git a/ja/built-in-nodes/LtxvApiTextToVideo.mdx b/ja/built-in-nodes/LtxvApiTextToVideo.mdx index 0060cb459..aaeacc02d 100644 --- a/ja/built-in-nodes/LtxvApiTextToVideo.mdx +++ b/ja/built-in-nodes/LtxvApiTextToVideo.mdx @@ -5,22 +5,20 @@ sidebarTitle: "LtxvApiTextToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiTextToVideo/ja.md) - 以下が日本語翻訳です。 LTXV Text To Video ノードは、テキストによる説明からプロフェッショナル品質の動画を生成します。外部APIに接続して、長さ、解像度、フレームレートをカスタマイズ可能な動画を作成します。AIが生成したオーディオを動画に追加することも選択できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `モデル` | COMBO | はい | `"LTX-2 (Fast)"`
`"LTX-2 (Quality)"`
`"LTX-2 (Turbo)"` | 動画生成に使用するAIモデル。利用可能なモデルはソースコードの `MODELS_MAP` からマッピングされています。 | -| `プロンプト` | STRING | はい | - | AIが動画を生成するために使用するテキストによる説明。このフィールドは複数行のテキストをサポートしています。 | -| `長さ` | COMBO | はい | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | 生成される動画の長さ（秒単位、デフォルト：8）。 | -| `解像度` | COMBO | はい | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | 出力動画のピクセル寸法（幅 x 高さ）。 | -| `fps` | COMBO | はい | `25`
`50` | 動画のフレームレート（デフォルト：25）。 | -| `オーディオ生成` | BOOLEAN | いいえ | - | 有効にすると、生成された動画にシーンに合わせたAI生成オーディオが含まれます（デフォルト：False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画生成に使用するAIモデル。利用可能なモデルはソースコードの `MODELS_MAP` からマッピングされています。 | COMBO | はい | `"LTX-2 (Fast)"`
`"LTX-2 (Quality)"`
`"LTX-2 (Turbo)"` | +| `プロンプト` | AIが動画を生成するために使用するテキストによる説明。このフィールドは複数行のテキストをサポートしています。 | STRING | はい | - | +| `長さ` | 生成される動画の長さ（秒単位、デフォルト：8）。 | COMBO | はい | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | +| `解像度` | 出力動画のピクセル寸法（幅 x 高さ）。 | COMBO | はい | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | +| `fps` | 動画のフレームレート（デフォルト：25）。 | COMBO | はい | `25`
`50` | +| `オーディオ生成` | 有効にすると、生成された動画にシーンに合わせたAI生成オーディオが含まれます（デフォルト：False）。 | BOOLEAN | いいえ | - | **重要な制約事項：** @@ -29,9 +27,11 @@ LTXV Text To Video ノードは、テキストによる説明からプロフェ ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `output` | VIDEO | 生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiTextToVideo/ja.md) --- **Source fingerprint (SHA-256):** `a0c16995a07d879113bd3ca8fea64be414feee96bd8293a3e7737ede7d30e11d` diff --git a/ja/built-in-nodes/LumaConceptsNode.mdx b/ja/built-in-nodes/LumaConceptsNode.mdx index ad8dd0d1b..f12adbc45 100644 --- a/ja/built-in-nodes/LumaConceptsNode.mdx +++ b/ja/built-in-nodes/LumaConceptsNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "LumaConceptsNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaConceptsNode/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaConceptsNode/en.md) Luma Text to Video および Luma Image to Video ノードで使用するための、1つ以上のカメラコンセプトを保持します。このノードでは、最大4つのカメラコンセプトを選択し、必要に応じて既存のコンセプトチェーンと組み合わせることができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `concept1` | STRING | はい | 複数のオプションが利用可能
「None」オプションを含む | 利用可能なLumaコンセプトから最初のカメラコンセプトを選択します | -| `concept2` | STRING | はい | 複数のオプションが利用可能
「None」オプションを含む | 利用可能なLumaコンセプトから2番目のカメラコンセプトを選択します | -| `concept3` | STRING | はい | 複数のオプションが利用可能
「None」オプションを含む | 利用可能なLumaコンセプトから3番目のカメラコンセプトを選択します | -| `concept4` | STRING | はい | 複数のオプションが利用可能
「None」オプションを含む | 利用可能なLumaコンセプトから4番目のカメラコンセプトを選択します | -| `luma_concepts` | LUMA_CONCEPTS | いいえ | N/A | ここで選択したコンセプトに追加するオプションのカメラコンセプトです | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `concept1` | 利用可能なLumaコンセプトから最初のカメラコンセプトを選択します | STRING | はい | 複数のオプションが利用可能
「None」オプションを含む | +| `concept2` | 利用可能なLumaコンセプトから2番目のカメラコンセプトを選択します | STRING | はい | 複数のオプションが利用可能
「None」オプションを含む | +| `concept3` | 利用可能なLumaコンセプトから3番目のカメラコンセプトを選択します | STRING | はい | 複数のオプションが利用可能
「None」オプションを含む | +| `concept4` | 利用可能なLumaコンセプトから4番目のカメラコンセプトを選択します | STRING | はい | 複数のオプションが利用可能
「None」オプションを含む | +| `luma_concepts` | ここで選択したコンセプトに追加するオプションのカメラコンセプトです | LUMA_CONCEPTS | いいえ | N/A | **注記：** すべてのコンセプトパラメータ（`concept1` から `concept4`）は、4つすべてのコンセプトスロットを使用したくない場合は「None」に設定できます。このノードは、提供された `luma_concepts` と選択されたコンセプトをマージして、結合されたコンセプトチェーンを作成します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `luma_concepts` | LUMA_CONCEPTS | 選択されたすべてのコンセプトを含む、結合されたカメラコンセプトチェーンです | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `luma_concepts` | 選択されたすべてのコンセプトを含む、結合されたカメラコンセプトチェーンです | LUMA_CONCEPTS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaConceptsNode/ja.md) --- **Source fingerprint (SHA-256):** `d0e334104884eadab86987f188dff079e11ee4a3de05d2537d88fa9d2a30534a` diff --git a/ja/built-in-nodes/LumaImageEditNode2.mdx b/ja/built-in-nodes/LumaImageEditNode2.mdx index 8d0d895a0..084a7075a 100644 --- a/ja/built-in-nodes/LumaImageEditNode2.mdx +++ b/ja/built-in-nodes/LumaImageEditNode2.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LumaImageEditNode2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageEditNode2/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,12 +13,12 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `source` | IMAGE | はい | - | 編集するソース画像。 | -| `prompt` | STRING | はい | 1～6000文字 | 希望する編集内容の説明。デフォルト：""（空文字列）。 | -| `model` | MODEL | はい | `"uni-1"`
`"uni-1-max"` | 編集に使用するモデル。 | -| `seed` | INT | はい | 0～2147483647 | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です。デフォルト：0。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `source` | 編集するソース画像。 | IMAGE | はい | - | +| `prompt` | 希望する編集内容の説明。デフォルト：""（空文字列）。 | STRING | はい | 1～6000文字 | +| `model` | 編集に使用するモデル。 | MODEL | はい | `"uni-1"`
`"uni-1-max"` | +| `seed` | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です。デフォルト：0。 | INT | はい | 0～2147483647 | **パラメータの制約：** - `prompt`は1文字以上6000文字以下である必要があります。 @@ -28,9 +26,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | Luma UNI-1モデルによって生成された編集済み画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | Luma UNI-1モデルによって生成された編集済み画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageEditNode2/ja.md) --- **Source fingerprint (SHA-256):** `7026e3ce818b0a9710624bd071fc2049950290f89c7d0365ff44236e9ad5eaed` diff --git a/ja/built-in-nodes/LumaImageModifyNode.mdx b/ja/built-in-nodes/LumaImageModifyNode.mdx index b6d7a9364..3f9f32a36 100644 --- a/ja/built-in-nodes/LumaImageModifyNode.mdx +++ b/ja/built-in-nodes/LumaImageModifyNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "LumaImageModifyNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md) テキストプロンプトと元画像のアスペクト比に基づいて、画像を同期的に修正します。このノードは入力画像を受け取り、指定されたプロンプトに従って変換を行います。設定可能な画像重みを使用して、元画像がどの程度変更されるかを制御します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 修正対象の入力画像 | -| `プロンプト` | STRING | はい | - | 画像生成用のプロンプト（デフォルト: ""） | -| `画像の重み` | FLOAT | いいえ | 0.0～0.98 | 画像の重み。1.0に近いほど画像の変更量が少なくなります（デフォルト: 0.1）。内部的にはこの値が反転され（1.0 - image_weight）、0.0～0.98の範囲にクランプされます。 | -| `モデル` | STRING | はい | `"photon-flash-1"`
`"photon-1"`
`"photon"` | 画像修正に使用するLumaモデル。モデルによってコストが異なります。 | -| `シード` | INT | いいえ | 0～18446744073709551615 | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関わらず非決定的です（デフォルト: 0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 修正対象の入力画像 | IMAGE | はい | - | +| `プロンプト` | 画像生成用のプロンプト（デフォルト: ""） | STRING | はい | - | +| `画像の重み` | 画像の重み。1.0に近いほど画像の変更量が少なくなります（デフォルト: 0.1）。内部的にはこの値が反転され（1.0 - image_weight）、0.0～0.98の範囲にクランプされます。 | FLOAT | いいえ | 0.0～0.98 | +| `モデル` | 画像修正に使用するLumaモデル。モデルによってコストが異なります。 | STRING | はい | `"photon-flash-1"`
`"photon-1"`
`"photon"` | +| `シード` | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関わらず非決定的です（デフォルト: 0） | INT | いいえ | 0～18446744073709551615 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | Lumaモデルによって生成された修正済み画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | Lumaモデルによって生成された修正済み画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/ja.md) --- **Source fingerprint (SHA-256):** `078542bdba19945037c95fefa30d1b403ebf58e29270c8067dcb8ff21a99b7e0` diff --git a/ja/built-in-nodes/LumaImageNode.mdx b/ja/built-in-nodes/LumaImageNode.mdx index d0f085ab7..1d2f7dcc2 100644 --- a/ja/built-in-nodes/LumaImageNode.mdx +++ b/ja/built-in-nodes/LumaImageNode.mdx @@ -5,24 +5,22 @@ sidebarTitle: "LumaImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode/ja.md) - 以下が翻訳結果です。 テキストプロンプトとアスペクト比に基づいて画像を同期的に生成します。このノードはテキスト記述を使用して画像を作成し、キャラクター画像やスタイル画像などのさまざまな参照入力を通じて、画像の寸法やスタイルを制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空文字列）。最低3文字以上である必要があります。 | -| `モデル` | COMBO | はい | `photon-flash-1`
`photon-1`
`photon` | 画像生成のためのモデル選択。モデルによってコストが異なります。 | -| `アスペクト比` | COMBO | はい | `16:9`
`1:1`
`4:3`
`3:2`
`21:9`
`9:16`
`3:4`
`2:3`
`9:21` | 生成される画像のアスペクト比（デフォルト：`16:9`） | -| `シード` | INT | はい | 0 ～ 18446744073709551615 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です（デフォルト：0） | -| `スタイル画像の重み` | FLOAT | いいえ | 0.0 ～ 1.0 | スタイル画像の重み。`スタイル参照画像`が提供されない場合は無視されます（デフォルト：1.0） | -| `Luma参照画像` | LUMA_REF | いいえ | - | 入力画像で生成に影響を与えるLumaリファレンスノードの接続。最大4枚の画像を考慮できます。 | -| `スタイル参照画像` | IMAGE | いいえ | - | スタイル参照画像。1枚のみ使用されます。 | -| `キャラクター参照画像` | IMAGE | いいえ | - | キャラクター参照画像。複数のバッチが可能で、最大4枚の画像を考慮できます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 画像生成のためのプロンプト（デフォルト：空文字列）。最低3文字以上である必要があります。 | STRING | はい | - | +| `モデル` | 画像生成のためのモデル選択。モデルによってコストが異なります。 | COMBO | はい | `photon-flash-1`
`photon-1`
`photon` | +| `アスペクト比` | 生成される画像のアスペクト比（デフォルト：`16:9`） | COMBO | はい | `16:9`
`1:1`
`4:3`
`3:2`
`21:9`
`9:16`
`3:4`
`2:3`
`9:21` | +| `シード` | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です（デフォルト：0） | INT | はい | 0 ～ 18446744073709551615 | +| `スタイル画像の重み` | スタイル画像の重み。`スタイル参照画像`が提供されない場合は無視されます（デフォルト：1.0） | FLOAT | いいえ | 0.0 ～ 1.0 | +| `Luma参照画像` | 入力画像で生成に影響を与えるLumaリファレンスノードの接続。最大4枚の画像を考慮できます。 | LUMA_REF | いいえ | - | +| `スタイル参照画像` | スタイル参照画像。1枚のみ使用されます。 | IMAGE | いいえ | - | +| `キャラクター参照画像` | キャラクター参照画像。複数のバッチが可能で、最大4枚の画像を考慮できます。 | IMAGE | いいえ | - | **パラメータの制約：** @@ -34,9 +32,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | 入力パラメータに基づいて生成された画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力パラメータに基づいて生成された画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode/ja.md) --- **Source fingerprint (SHA-256):** `f7878cd4df62c2f364e4e404215b18bf2f5745fb071ae2cd931d5e34b84eab46` diff --git a/ja/built-in-nodes/LumaImageNode2.mdx b/ja/built-in-nodes/LumaImageNode2.mdx index 16db74510..dd69d2718 100644 --- a/ja/built-in-nodes/LumaImageNode2.mdx +++ b/ja/built-in-nodes/LumaImageNode2.mdx @@ -5,8 +5,6 @@ sidebarTitle: "LumaImageNode2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode2/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,30 +13,32 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|------|-------|------| -| `prompt` | STRING | はい | 1～6000 文字 | 生成したい画像のテキスト記述。 | -| `model` | COMBO | はい | `"uni-1"`
`"uni-1-max"` | 生成に使用するモデル。モデルを選択すると、そのモデル固有の追加設定が表示されます。 | -| `seed` | INT | はい | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。結果はシードに関わらず非決定的です。（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | 生成したい画像のテキスト記述。 | STRING | はい | 1～6000 文字 | +| `model` | 生成に使用するモデル。モデルを選択すると、そのモデル固有の追加設定が表示されます。 | COMBO | はい | `"uni-1"`
`"uni-1-max"` | +| `seed` | シードはノードを再実行するかどうかを制御します。結果はシードに関わらず非決定的です。（デフォルト：0） | INT | はい | 0 ～ 2147483647 | ### モデル固有の入力 `model` パラメータに `"uni-1"` または `"uni-1-max"` を選択すると、以下の入力が利用可能になります。 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|------|-------|------| -| `aspect_ratio` | COMBO | はい | `"auto"`
`"3:1"`
`"2:1"`
`"16:9"`
`"3:2"`
`"1:1"`
`"2:3"`
`"9:16"`
`"1:2"`
`"1:3"` | 出力画像のアスペクト比。`"auto"` を選択すると、モデルがプロンプトに基づいて自動的に選択します。（デフォルト：`"auto"`） | -| `style` | COMBO | はい | `"auto"`
`"manga"` | 生成画像のビジュアルスタイル。（デフォルト：`"auto"`） | -| `web_search` | BOOLEAN | はい | True / False | モデルが追加のコンテキストを得るためにウェブ検索を許可するかどうか。（デフォルト：False） | -| `image_ref` | IMAGE | いいえ | 最大 9 枚 | 生成をガイドするための参照画像。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `aspect_ratio` | 出力画像のアスペクト比。`"auto"` を選択すると、モデルがプロンプトに基づいて自動的に選択します。（デフォルト：`"auto"`） | COMBO | はい | `"auto"`
`"3:1"`
`"2:1"`
`"16:9"`
`"3:2"`
`"1:1"`
`"2:3"`
`"9:16"`
`"1:2"`
`"1:3"` | +| `style` | 生成画像のビジュアルスタイル。（デフォルト：`"auto"`） | COMBO | はい | `"auto"`
`"manga"` | +| `web_search` | モデルが追加のコンテキストを得るためにウェブ検索を許可するかどうか。（デフォルト：False） | BOOLEAN | はい | True / False | +| `image_ref` | 生成をガイドするための参照画像。 | IMAGE | いいえ | 最大 9 枚 | **`style` と `aspect_ratio` の制約に関する注意：** `style` を `"manga"` に設定した場合、`aspect_ratio` は `"auto"` または以下のポートレート比率のいずれかである必要があります：`"2:3"`、`"9:16"`、`"1:2"`、`"1:3"`。`"manga"` スタイルでランドスケープ（横長）またはスクエア（正方形）の比率を使用するとエラーが発生します。 ## 出力 -| 出力名 | データ型 | 説明 | -|--------|---------|------| -| `image` | IMAGE | 生成された画像をテンソルとして出力します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 生成された画像をテンソルとして出力します。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode2/ja.md) --- **Source fingerprint (SHA-256):** `0a71bcd7c68c3610c162601b4c3f700034e47af8f16cf7853606753ad270c96e` diff --git a/ja/built-in-nodes/LumaImageToVideoNode.mdx b/ja/built-in-nodes/LumaImageToVideoNode.mdx index d86296fac..d06c52538 100644 --- a/ja/built-in-nodes/LumaImageToVideoNode.mdx +++ b/ja/built-in-nodes/LumaImageToVideoNode.mdx @@ -5,33 +5,33 @@ sidebarTitle: "LumaImageToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageToVideoNode/ja.md) - このドキュメントはAIによって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md) テキストプロンプトとオプションの開始画像/終了画像に基づいて、同期的に動画を生成します。このノードはLuma APIを使用して動画を作成し、プロンプトを通じて動画のコンテンツを定義し、オプションで最初と最後のフレームを指定して動画の構造を制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | 動画生成のためのプロンプト（デフォルト: ""） | -| `モデル` | COMBO | はい | 複数のオプションから選択可能 | 利用可能なLumaモデルから動画生成モデルを選択します | -| `解像度` | COMBO | はい | `"540p"`
`"720p"`
`"1080p"`
`"4k"` | 生成される動画の出力解像度（デフォルト: "540p"）。`ray-1-6`モデル使用時はこのパラメータは無視されます。 | -| `再生時間` | COMBO | はい | `"5s"`
`"9s"` | 生成される動画の長さ。`ray-1-6`モデル使用時はこのパラメータは無視されます。 | -| `ループ` | BOOLEAN | はい | - | 生成される動画をループさせるかどうか（デフォルト: False） | -| `シード` | INT | はい | 0 ～ 18446744073709551615 | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関わらず非決定的です。（デフォルト: 0） | -| `最初の画像` | IMAGE | いいえ | - | 生成される動画の最初のフレーム（オプション） | -| `最後の画像` | IMAGE | いいえ | - | 生成される動画の最後のフレーム（オプション） | -| `luma_concepts` | CUSTOM | いいえ | - | Luma Conceptsノードを介してカメラの動きを指定するためのオプションのカメラコンセプト（オプション） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 動画生成のためのプロンプト（デフォルト: ""） | STRING | はい | - | +| `モデル` | 利用可能なLumaモデルから動画生成モデルを選択します | COMBO | はい | 複数のオプションから選択可能 | +| `解像度` | 生成される動画の出力解像度（デフォルト: "540p"）。`ray-1-6`モデル使用時はこのパラメータは無視されます。 | COMBO | はい | `"540p"`
`"720p"`
`"1080p"`
`"4k"` | +| `再生時間` | 生成される動画の長さ。`ray-1-6`モデル使用時はこのパラメータは無視されます。 | COMBO | はい | `"5s"`
`"9s"` | +| `ループ` | 生成される動画をループさせるかどうか（デフォルト: False） | BOOLEAN | はい | - | +| `シード` | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関わらず非決定的です。（デフォルト: 0） | INT | はい | 0 ～ 18446744073709551615 | +| `最初の画像` | 生成される動画の最初のフレーム（オプション） | IMAGE | いいえ | - | +| `最後の画像` | 生成される動画の最後のフレーム（オプション） | IMAGE | いいえ | - | +| `luma_concepts` | Luma Conceptsノードを介してカメラの動きを指定するためのオプションのカメラコンセプト（オプション） | CUSTOM | いいえ | - | **注意:** `first_image` または `last_image` の少なくとも一方を指定する必要があります。両方が欠けている場合、ノードは例外を発生させます。`model` が `ray-1-6` に設定されている場合、`resolution` と `duration` のパラメータは無視されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `210286ad38cecc5b3b0689f470ff473e996abfd251f88a45bcac936751ae2674` diff --git a/ja/built-in-nodes/LumaReferenceNode.mdx b/ja/built-in-nodes/LumaReferenceNode.mdx index daf153645..e6343e603 100644 --- a/ja/built-in-nodes/LumaReferenceNode.mdx +++ b/ja/built-in-nodes/LumaReferenceNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "LumaReferenceNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaReferenceNode/ja.md) - このノードは、Luma Generate Imageノードで使用するための画像と重みの値を保持します。参照チェーンを作成し、他のLumaノードに渡して画像生成に影響を与えることができます。このノードは、新しい参照チェーンを開始するか、既存のチェーンに追加することができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 参照として使用する画像。 | -| `weight` | FLOAT | はい | 0.0 - 1.0 | 画像参照の重み（デフォルト：1.0）。 | -| `luma_ref` | LUMA_REF | いいえ | - | 追加先となる既存のLuma参照チェーン（オプション）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | 参照として使用する画像。 | IMAGE | はい | - | +| `weight` | 画像参照の重み（デフォルト：1.0）。 | FLOAT | はい | 0.0 - 1.0 | +| `luma_ref` | 追加先となる既存のLuma参照チェーン（オプション）。 | LUMA_REF | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `luma_ref` | LUMA_REF | 画像と重みを含むLuma参照チェーン。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `luma_ref` | 画像と重みを含むLuma参照チェーン。 | LUMA_REF | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaReferenceNode/ja.md) --- **Source fingerprint (SHA-256):** `1ad653f0ad7c56702f607ebc3c3d117196295e4e3b044a2c6f1aa3db18869a40` diff --git a/ja/built-in-nodes/LumaVideoNode.mdx b/ja/built-in-nodes/LumaVideoNode.mdx index fbcf167bf..74d6ab0d1 100644 --- a/ja/built-in-nodes/LumaVideoNode.mdx +++ b/ja/built-in-nodes/LumaVideoNode.mdx @@ -5,32 +5,32 @@ sidebarTitle: "LumaVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaVideoNode/ja.md) - このドキュメントは AI によって生成されました。誤りを見つけた場合や改善のための提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaVideoNode/en.md) テキストプロンプトと出力設定に基づいて、同期的に動画を生成します。このノードは、テキストによる説明と様々な生成パラメータを使用して動画コンテンツを作成し、生成プロセスが完了すると最終的な動画を出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | 動画生成のためのプロンプト（デフォルト：空文字列）。3文字以上である必要があります。 | -| `モデル` | COMBO | はい | `"ray_1_6"`
`"ray_2"` | 使用する動画生成モデル。 | -| `アスペクト比` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | 生成する動画のアスペクト比（デフォルト："16:9"）。 | -| `解像度` | COMBO | はい | `"540p"`
`"720p"`
`"1080p"` | 動画の出力解像度（デフォルト："540p"）。`ray_1_6` モデルを使用する場合、このパラメータは無視されます。 | -| `再生時間` | COMBO | はい | `"5s"`
`"9s"` | 生成する動画の長さ。`ray_1_6` モデルを使用する場合、このパラメータは無視されます。 | -| `ループ` | BOOLEAN | はい | - | 動画をループさせるかどうか（デフォルト：False）。 | -| `シード` | INT | はい | 0 から 18446744073709551615 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関わらず非決定的です（デフォルト：0）。 | -| `luma_concepts` | CUSTOM | いいえ | - | Luma Concepts ノードを介してカメラの動きを指定する、オプションのカメラコンセプト。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 動画生成のためのプロンプト（デフォルト：空文字列）。3文字以上である必要があります。 | STRING | はい | - | +| `モデル` | 使用する動画生成モデル。 | COMBO | はい | `"ray_1_6"`
`"ray_2"` | +| `アスペクト比` | 生成する動画のアスペクト比（デフォルト："16:9"）。 | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | +| `解像度` | 動画の出力解像度（デフォルト："540p"）。`ray_1_6` モデルを使用する場合、このパラメータは無視されます。 | COMBO | はい | `"540p"`
`"720p"`
`"1080p"` | +| `再生時間` | 生成する動画の長さ。`ray_1_6` モデルを使用する場合、このパラメータは無視されます。 | COMBO | はい | `"5s"`
`"9s"` | +| `ループ` | 動画をループさせるかどうか（デフォルト：False）。 | BOOLEAN | はい | - | +| `シード` | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関わらず非決定的です（デフォルト：0）。 | INT | はい | 0 から 18446744073709551615 | +| `luma_concepts` | Luma Concepts ノードを介してカメラの動きを指定する、オプションのカメラコンセプト。 | CUSTOM | いいえ | - | **注記：** `ray_1_6` モデルを使用する場合、`duration` および `resolution` パラメータは自動的に無視され、生成に影響を与えません。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `44482bc91c3df2cc9ac22d06197668af45849e8bfde8bd435905f11f2593342c` diff --git a/ja/built-in-nodes/MagnificImageRelightNode.mdx b/ja/built-in-nodes/MagnificImageRelightNode.mdx index 379ce1128..61eebf024 100644 --- a/ja/built-in-nodes/MagnificImageRelightNode.mdx +++ b/ja/built-in-nodes/MagnificImageRelightNode.mdx @@ -5,25 +5,23 @@ sidebarTitle: "MagnificImageRelightNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageRelightNode/ja.md) - 以下が翻訳結果です。 Magnific Image Relight ノードは、入力画像の照明を調整します。テキストプロンプトに基づいたスタイル照明の適用や、オプションの参照画像からの照明特性の転送が可能です。このノードは、最終出力の明るさ、コントラスト、全体的な雰囲気を微調整するためのさまざまなコントロールを提供します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | N/A | 照明を調整する画像。正確に1枚の画像が必要です。最小寸法は160x160ピクセルです。アスペクト比は1:3から3:1の間である必要があります。 | -| `prompt` | STRING | いいえ | N/A | 照明に関する説明的なガイダンス。強調表記（1～1.4）をサポートします。デフォルトは空の文字列です。 | -| `light_transfer_strength` | INT | はい | 0 ～ 100 | 照明転送の適用強度。デフォルト: 100。 | -| `style` | COMBO | はい | `"standard"`
`"darker_but_realistic"`
`"clean"`
`"smooth"`
`"brighter"`
`"contrasted_n_hdr"`
`"just_composition"` | スタイル出力の設定。 | -| `interpolate_from_original` | BOOLEAN | はい | N/A | 生成の自由度を制限し、元の画像により近づけます。デフォルト: False。 | -| `change_background` | BOOLEAN | はい | N/A | プロンプトまたは参照画像に基づいて背景を変更します。デフォルト: True。 | -| `preserve_details` | BOOLEAN | はい | N/A | 元の画像のテクスチャと細部を維持します。デフォルト: True。 | -| `advanced_settings` | DYNAMICCOMBO | はい | `"disabled"`
`"enabled"` | 高度な照明制御のための微調整オプション。`"enabled"` に設定すると、追加のパラメータが使用可能になります。 | -| `reference_image` | IMAGE | いいえ | N/A | 照明を転送するためのオプションの参照画像。指定する場合、正確に1枚の画像が必要です。最小寸法は160x160ピクセルです。アスペクト比は1:3から3:1の間である必要があります。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | 照明を調整する画像。正確に1枚の画像が必要です。最小寸法は160x160ピクセルです。アスペクト比は1:3から3:1の間である必要があります。 | IMAGE | はい | N/A | +| `prompt` | 照明に関する説明的なガイダンス。強調表記（1～1.4）をサポートします。デフォルトは空の文字列です。 | STRING | いいえ | N/A | +| `light_transfer_strength` | 照明転送の適用強度。デフォルト: 100。 | INT | はい | 0 ～ 100 | +| `style` | スタイル出力の設定。 | COMBO | はい | `"standard"`
`"darker_but_realistic"`
`"clean"`
`"smooth"`
`"brighter"`
`"contrasted_n_hdr"`
`"just_composition"` | +| `interpolate_from_original` | 生成の自由度を制限し、元の画像により近づけます。デフォルト: False。 | BOOLEAN | はい | N/A | +| `change_background` | プロンプトまたは参照画像に基づいて背景を変更します。デフォルト: True。 | BOOLEAN | はい | N/A | +| `preserve_details` | 元の画像のテクスチャと細部を維持します。デフォルト: True。 | BOOLEAN | はい | N/A | +| `advanced_settings` | 高度な照明制御のための微調整オプション。`"enabled"` に設定すると、追加のパラメータが使用可能になります。 | DYNAMICCOMBO | はい | `"disabled"`
`"enabled"` | +| `reference_image` | 照明を転送するためのオプションの参照画像。指定する場合、正確に1枚の画像が必要です。最小寸法は160x160ピクセルです。アスペクト比は1:3から3:1の間である必要があります。 | IMAGE | いいえ | N/A | **高度な設定に関する注意:** `advanced_settings` が `"enabled"` に設定されている場合、以下のネストされたパラメータが有効になります。 @@ -39,9 +37,11 @@ Magnific Image Relight ノードは、入力画像の照明を調整します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | 照明が調整された画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 照明が調整された画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageRelightNode/ja.md) --- **Source fingerprint (SHA-256):** `c260b7c88a267a20fdea7f436404fe96ede782bc522ab29da36e94c20f7330cd` diff --git a/ja/built-in-nodes/MagnificImageSkinEnhancerNode.mdx b/ja/built-in-nodes/MagnificImageSkinEnhancerNode.mdx index 5844b6d2b..44cf2ff0c 100644 --- a/ja/built-in-nodes/MagnificImageSkinEnhancerNode.mdx +++ b/ja/built-in-nodes/MagnificImageSkinEnhancerNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MagnificImageSkinEnhancerNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,14 +12,14 @@ Magnific Image Skin Enhancer ノードは、ポートレート画像に特化し ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 強化するポートレート画像。 | -| `sharpen` | INT | いいえ | 0 から 100 | シャープネスの強度レベル（デフォルト：0）。 | -| `smart_grain` | INT | いいえ | 0 から 100 | スマートグレインの強度レベル（デフォルト：2）。 | -| `mode` | COMBO | はい | `"creative"`
`"faithful"`
`"flexible"` | 使用する処理モード。`"creative"` は芸術的な強調、`"faithful"` は元の外観の保持、`"flexible"` は特定の最適化を目的とします。 | -| `skin_detail` | INT | いいえ | 0 から 100 | 肌のディテール強調レベル。この入力は `mode` が `"faithful"` に設定されている場合のみ利用可能かつ必須です（デフォルト：80）。 | -| `optimized_for` | COMBO | いいえ | `"enhance_skin"`
`"improve_lighting"`
`"enhance_everything"`
`"transform_to_real"`
`"no_make_up"` | 強調の最適化ターゲット。この入力は `mode` が `"flexible"` に設定されている場合のみ利用可能かつ必須です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | 強化するポートレート画像。 | IMAGE | はい | - | +| `sharpen` | シャープネスの強度レベル（デフォルト：0）。 | INT | いいえ | 0 から 100 | +| `smart_grain` | スマートグレインの強度レベル（デフォルト：2）。 | INT | いいえ | 0 から 100 | +| `mode` | 使用する処理モード。`"creative"` は芸術的な強調、`"faithful"` は元の外観の保持、`"flexible"` は特定の最適化を目的とします。 | COMBO | はい | `"creative"`
`"faithful"`
`"flexible"` | +| `skin_detail` | 肌のディテール強調レベル。この入力は `mode` が `"faithful"` に設定されている場合のみ利用可能かつ必須です（デフォルト：80）。 | INT | いいえ | 0 から 100 | +| `optimized_for` | 強調の最適化ターゲット。この入力は `mode` が `"flexible"` に設定されている場合のみ利用可能かつ必須です。 | COMBO | いいえ | `"enhance_skin"`
`"improve_lighting"`
`"enhance_everything"`
`"transform_to_real"`
`"no_make_up"` | **制約事項：** @@ -33,9 +31,11 @@ Magnific Image Skin Enhancer ノードは、ポートレート画像に特化し ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | 強化されたポートレート画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 強化されたポートレート画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/ja.md) --- **Source fingerprint (SHA-256):** `e02cae2e119ddab931b790865889adf53f47a2ebb03d488477c289dfda7204f5` diff --git a/ja/built-in-nodes/MagnificImageStyleTransferNode.mdx b/ja/built-in-nodes/MagnificImageStyleTransferNode.mdx index a5e147955..0e1846049 100644 --- a/ja/built-in-nodes/MagnificImageStyleTransferNode.mdx +++ b/ja/built-in-nodes/MagnificImageStyleTransferNode.mdx @@ -5,25 +5,23 @@ sidebarTitle: "MagnificImageStyleTransferNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/ja.md) - このノードは、参照画像から視覚的なスタイルを抽出し、入力画像に適用します。外部のAIサービスを使用して画像を処理し、スタイル変換の強度や元画像の構造保持度合いを制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | スタイル変換を適用する画像です。 | -| `reference_image` | IMAGE | はい | - | スタイルを抽出するための参照画像です。 | -| `prompt` | STRING | いいえ | - | スタイル変換をガイドするオプションのテキストプロンプトです。 | -| `style_strength` | INT | いいえ | 0～100 | スタイルの強度のパーセンテージです（デフォルト：100）。 | -| `structure_strength` | INT | いいえ | 0～100 | 元画像の構造を維持する度合いです（デフォルト：50）。 | -| `flavor` | COMBO | いいえ | "faithful"
"gen_z"
"psychedelia"
"detaily"
"clear"
"donotstyle"
"donotstyle_sharp" | スタイル変換のフレーバーです。 | -| `engine` | COMBO | いいえ | "balanced"
"definio"
"illusio"
"3d_cartoon"
"colorful_anime"
"caricature"
"real"
"super_real"
"softy" | 処理エンジンの選択です。 | -| `portrait_mode` | COMBO | いいえ | "disabled"
"enabled" | 顔の補正を行うポートレートモードを有効にします。 | -| `portrait_style` | COMBO | いいえ | "standard"
"pop"
"super_pop" | ポートレート画像に適用する視覚スタイルです。この入力は、`portrait_mode`が"enabled"に設定されている場合のみ使用可能です。 | -| `portrait_beautifier` | COMBO | いいえ | "none"
"beautify_face"
"beautify_face_max" | ポートレートに対する顔の美化の強度です。この入力は、`portrait_mode`が"enabled"に設定されている場合のみ使用可能です。 | -| `fixed_generation` | BOOLEAN | いいえ | - | 無効にすると、生成ごとにランダム性が加わり、より多様な結果が得られます（デフォルト：True）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | スタイル変換を適用する画像です。 | IMAGE | はい | - | +| `reference_image` | スタイルを抽出するための参照画像です。 | IMAGE | はい | - | +| `prompt` | スタイル変換をガイドするオプションのテキストプロンプトです。 | STRING | いいえ | - | +| `style_strength` | スタイルの強度のパーセンテージです（デフォルト：100）。 | INT | いいえ | 0～100 | +| `structure_strength` | 元画像の構造を維持する度合いです（デフォルト：50）。 | INT | いいえ | 0～100 | +| `flavor` | スタイル変換のフレーバーです。 | COMBO | いいえ | "faithful"
"gen_z"
"psychedelia"
"detaily"
"clear"
"donotstyle"
"donotstyle_sharp" | +| `engine` | 処理エンジンの選択です。 | COMBO | いいえ | "balanced"
"definio"
"illusio"
"3d_cartoon"
"colorful_anime"
"caricature"
"real"
"super_real"
"softy" | +| `portrait_mode` | 顔の補正を行うポートレートモードを有効にします。 | COMBO | いいえ | "disabled"
"enabled" | +| `portrait_style` | ポートレート画像に適用する視覚スタイルです。この入力は、`portrait_mode`が"enabled"に設定されている場合のみ使用可能です。 | COMBO | いいえ | "standard"
"pop"
"super_pop" | +| `portrait_beautifier` | ポートレートに対する顔の美化の強度です。この入力は、`portrait_mode`が"enabled"に設定されている場合のみ使用可能です。 | COMBO | いいえ | "none"
"beautify_face"
"beautify_face_max" | +| `fixed_generation` | 無効にすると、生成ごとにランダム性が加わり、より多様な結果が得られます（デフォルト：True）。 | BOOLEAN | いいえ | - | **制約事項：** @@ -34,9 +32,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | スタイル変換が適用された結果の画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | スタイル変換が適用された結果の画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/ja.md) --- **Source fingerprint (SHA-256):** `4ae400183618953c369d089d39b878f0a24592967c29d779c577fb8b7339dea8` diff --git a/ja/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx b/ja/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx index cb779d0b1..69d5c740a 100644 --- a/ja/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx +++ b/ja/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx @@ -5,24 +5,22 @@ sidebarTitle: "MagnificImageUpscalerCreativeNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/ja.md) - このノードは、Magnific AIサービスを使用して画像をアップスケールし、創造的に強化します。テキストプロンプトで強化をガイドしたり、最適化する特定のスタイルを選択したり、ディテール、元画像との類似性、スタイライゼーションの強さなど、創造的プロセスのさまざまな側面を制御できます。このノードは、選択した倍率（2倍、4倍、8倍、16倍）でアップスケールされた画像を出力し、最大出力サイズは25.3メガピクセルです。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | アップスケールおよび強化する入力画像。 | -| `プロンプト` | STRING | いいえ | - | 画像の創造的強化をガイドするテキスト説明。これはオプションです（デフォルト：空）。 | -| `拡大倍率` | COMBO | はい | `"2x"`
`"4x"`
`"8x"`
`"16x"` | 画像の寸法をアップスケールする倍率。 | -| `最適化対象` | COMBO | はい | `"standard"`
`"soft_portraits"`
`"hard_portraits"`
`"art_n_illustration"`
`"videogame_assets"`
`"nature_n_landscapes"`
`"films_n_photography"`
`"3d_renders"`
`"science_fiction_n_horror"` | 強化プロセスを最適化するスタイルまたはコンテンツタイプ。 | -| `クリエイティビティ` | INT | いいえ | -10 ～ 10 | 画像に適用される創造的解釈のレベルを制御します（デフォルト：0）。 | -| `HDR` | INT | いいえ | -10 ～ 10 | ディテールの鮮明度と精細さのレベル（デフォルト：0）。 | -| `類似度` | INT | いいえ | -10 ～ 10 | 元画像との類似性のレベル（デフォルト：0）。 | -| `フラクタリティ` | INT | いいえ | -10 ～ 10 | プロンプトの強さと1平方ピクセルあたりの複雑さ（デフォルト：0）。 | -| `エンジン` | COMBO | はい | `"automatic"`
`"magnific_illusio"`
`"magnific_sharpy"`
`"magnific_sparkle"` | 処理に使用する特定のAIエンジン。これは高度なパラメータです。 | -| `自動ダウンスケール` | BOOLEAN | いいえ | - | 有効にすると、要求されたアップスケールが最大許容出力サイズ（25.3メガピクセル）を超える場合、ノードは自動的に入力画像をダウンスケールします。これは高度なパラメータです（デフォルト：False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | アップスケールおよび強化する入力画像。 | IMAGE | はい | - | +| `プロンプト` | 画像の創造的強化をガイドするテキスト説明。これはオプションです（デフォルト：空）。 | STRING | いいえ | - | +| `拡大倍率` | 画像の寸法をアップスケールする倍率。 | COMBO | はい | `"2x"`
`"4x"`
`"8x"`
`"16x"` | +| `最適化対象` | 強化プロセスを最適化するスタイルまたはコンテンツタイプ。 | COMBO | はい | `"standard"`
`"soft_portraits"`
`"hard_portraits"`
`"art_n_illustration"`
`"videogame_assets"`
`"nature_n_landscapes"`
`"films_n_photography"`
`"3d_renders"`
`"science_fiction_n_horror"` | +| `クリエイティビティ` | 画像に適用される創造的解釈のレベルを制御します（デフォルト：0）。 | INT | いいえ | -10 ～ 10 | +| `HDR` | ディテールの鮮明度と精細さのレベル（デフォルト：0）。 | INT | いいえ | -10 ～ 10 | +| `類似度` | 元画像との類似性のレベル（デフォルト：0）。 | INT | いいえ | -10 ～ 10 | +| `フラクタリティ` | プロンプトの強さと1平方ピクセルあたりの複雑さ（デフォルト：0）。 | INT | いいえ | -10 ～ 10 | +| `エンジン` | 処理に使用する特定のAIエンジン。これは高度なパラメータです。 | COMBO | はい | `"automatic"`
`"magnific_illusio"`
`"magnific_sharpy"`
`"magnific_sparkle"` | +| `自動ダウンスケール` | 有効にすると、要求されたアップスケールが最大許容出力サイズ（25.3メガピクセル）を超える場合、ノードは自動的に入力画像をダウンスケールします。これは高度なパラメータです（デフォルト：False）。 | BOOLEAN | いいえ | - | **制約事項：** @@ -33,9 +31,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 創造的に強化され、アップスケールされた出力画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 創造的に強化され、アップスケールされた出力画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/ja.md) --- **Source fingerprint (SHA-256):** `f5f046347c2992a2589153e803de14fc23b27187864b45eb566556418ebc161c` diff --git a/ja/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx b/ja/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx index f2888cb5c..0a61114f7 100644 --- a/ja/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx +++ b/ja/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx @@ -5,31 +5,31 @@ sidebarTitle: "MagnificImageUpscalerPreciseV2Node" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/ja.md) - 以下が翻訳結果です。 **Magnific Image Upscale (Precise V2)** ノードは、シャープネス、グレイン、ディテール強調を精密に制御しながら、高忠実度の画像アップスケーリングを実行します。外部APIを通じて画像を処理し、最大出力解像度10060×10060ピクセルまで対応します。このノードは異なる処理スタイルを提供し、要求された出力が最大許容サイズを超える場合、入力画像を自動的にダウンスケールすることも可能です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | アップスケールする入力画像。正確に1枚の画像が必要です。最小寸法は160x160ピクセルです。アスペクト比は1:3から3:1の間である必要があります。 | -| `拡大倍率` | STRING | はい | `"2x"`
`"4x"`
`"8x"`
`"16x"` | 希望するアップスケーリング倍率。 | -| `フレーバー` | STRING | はい | `"sublime"`
`"photo"`
`"photo_denoiser"` | 処理スタイル。"sublime"は汎用、"photo"は写真に最適化、"photo_denoiser"はノイズの多い写真向けです。 | -| `シャープネス` | INT | いいえ | 0 から 100 | エッジの定義と鮮明さを高めるためのシャープネス強度を制御します。値が大きいほど、よりシャープな結果が得られます。デフォルト: 7。 | -| `スマートグレイン` | INT | いいえ | 0 から 100 | アップスケール後の画像が滑らかすぎたり、人工的に見えるのを防ぐために、インテリジェントなグレインまたはテクスチャ強調を追加します。デフォルト: 7。 | -| `ウルトラディテール` | INT | いいえ | 0 から 100 | アップスケーリング処理中に追加される微細なディテール、テクスチャ、マイクロディテールの量を制御します。デフォルト: 30。 | -| `自動ダウンスケール` | BOOLEAN | いいえ | - | 有効にすると、計算された出力寸法が最大許容解像度10060x10060ピクセルを超える場合、ノードは入力画像を自動的にダウンスケールします。これによりエラーを防げますが、品質に影響を与える可能性があります。デフォルト: False。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | アップスケールする入力画像。正確に1枚の画像が必要です。最小寸法は160x160ピクセルです。アスペクト比は1:3から3:1の間である必要があります。 | IMAGE | はい | - | +| `拡大倍率` | 希望するアップスケーリング倍率。 | STRING | はい | `"2x"`
`"4x"`
`"8x"`
`"16x"` | +| `フレーバー` | 処理スタイル。"sublime"は汎用、"photo"は写真に最適化、"photo_denoiser"はノイズの多い写真向けです。 | STRING | はい | `"sublime"`
`"photo"`
`"photo_denoiser"` | +| `シャープネス` | エッジの定義と鮮明さを高めるためのシャープネス強度を制御します。値が大きいほど、よりシャープな結果が得られます。デフォルト: 7。 | INT | いいえ | 0 から 100 | +| `スマートグレイン` | アップスケール後の画像が滑らかすぎたり、人工的に見えるのを防ぐために、インテリジェントなグレインまたはテクスチャ強調を追加します。デフォルト: 7。 | INT | いいえ | 0 から 100 | +| `ウルトラディテール` | アップスケーリング処理中に追加される微細なディテール、テクスチャ、マイクロディテールの量を制御します。デフォルト: 30。 | INT | いいえ | 0 から 100 | +| `自動ダウンスケール` | 有効にすると、計算された出力寸法が最大許容解像度10060x10060ピクセルを超える場合、ノードは入力画像を自動的にダウンスケールします。これによりエラーを防げますが、品質に影響を与える可能性があります。デフォルト: False。 | BOOLEAN | いいえ | - | **注記:** `auto_downscale`が無効で、要求された出力サイズ（入力寸法 × `scale_factor`）が10060x10060ピクセルを超える場合、ノードはエラーを発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | アップスケーリングされた結果の画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | アップスケーリングされた結果の画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/ja.md) --- **Source fingerprint (SHA-256):** `cceff30e9702c6a24ab8102698c59f1afb20ec50e7f279b3c0d50befc9673b24` diff --git a/ja/built-in-nodes/Mahiro.mdx b/ja/built-in-nodes/Mahiro.mdx index 220fd70dd..eb25ac266 100644 --- a/ja/built-in-nodes/Mahiro.mdx +++ b/ja/built-in-nodes/Mahiro.mdx @@ -5,23 +5,23 @@ sidebarTitle: "Mahiro" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Mahiro/ja.md) - 以下が日本語翻訳です。 Mahiroノードは、ガイダンス関数を変更し、ポジティブプロンプトとネガティブプロンプトの差分ではなく、ポジティブプロンプトの方向に重点を置くようにします。このノードは、正規化された条件付きおよび無条件のノイズ除去出力間のコサイン類似度を使用して、カスタムガイダンススケーリングアプローチを適用するパッチ適用済みモデルを作成します。この実験的なノードは、生成をポジティブプロンプトの意図された方向により強く導くのに役立ちます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `モデル` | MODEL | はい | | 変更されたガイダンス関数でパッチを適用するモデル | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 変更されたガイダンス関数でパッチを適用するモデル | MODEL | はい | | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `patched_model` | MODEL | Mahiroガイダンス関数が適用された変更済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `patched_model` | Mahiroガイダンス関数が適用された変更済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Mahiro/ja.md) --- **Source fingerprint (SHA-256):** `8b4a73cfa488f97d87e5a18d5ab30765055b5d5a66c6c2f1a5f016eed2af0300` diff --git a/ja/built-in-nodes/MakeTrainingDataset.mdx b/ja/built-in-nodes/MakeTrainingDataset.mdx index 8ac79442b..4a6b8102e 100644 --- a/ja/built-in-nodes/MakeTrainingDataset.mdx +++ b/ja/built-in-nodes/MakeTrainingDataset.mdx @@ -5,18 +5,16 @@ sidebarTitle: "MakeTrainingDataset" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MakeTrainingDataset/ja.md) - このノードは、画像とテキストをエンコードすることでトレーニング用のデータを準備します。画像のリストとそれに対応するテキストキャプションのリストを受け取り、VAEモデルを使用して画像を潜在表現に変換し、CLIPモデルを使用してテキストをコンディショニングデータに変換します。結果として得られるペアリングされた潜在表現とコンディショニングはリストとして出力され、トレーニングワークフローで使用できる状態になります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | N/A | エンコードする画像のリスト。 | -| `vae` | VAE | はい | N/A | 画像を潜在表現にエンコードするためのVAEモデル。 | -| `clip` | CLIP | はい | N/A | テキストをコンディショニングにエンコードするためのCLIPモデル。 | -| `テキスト` | STRING | いいえ | N/A | テキストキャプションのリスト。長さはn（画像と一致）、1（すべてに繰り返し）、または省略（空文字列を使用）にできます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | エンコードする画像のリスト。 | IMAGE | はい | N/A | +| `vae` | 画像を潜在表現にエンコードするためのVAEモデル。 | VAE | はい | N/A | +| `clip` | テキストをコンディショニングにエンコードするためのCLIPモデル。 | CLIP | はい | N/A | +| `テキスト` | テキストキャプションのリスト。長さはn（画像と一致）、1（すべてに繰り返し）、または省略（空文字列を使用）にできます。 | STRING | いいえ | N/A | **パラメータ制約：** @@ -24,10 +22,12 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `コンディショニング` | LATENT | 潜在表現の辞書のリスト。 | -| `conditioning` | CONDITIONING | コンディショニングリストのリスト。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `コンディショニング` | 潜在表現の辞書のリスト。 | LATENT | +| `conditioning` | コンディショニングリストのリスト。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MakeTrainingDataset/ja.md) --- **Source fingerprint (SHA-256):** `95947c03f140f527f3db54d0b0131d956646055542ddb546ae5eaa82e4e8cefa` diff --git a/ja/built-in-nodes/ManualSigmas.mdx b/ja/built-in-nodes/ManualSigmas.mdx index 1a8335b63..4355ef85a 100644 --- a/ja/built-in-nodes/ManualSigmas.mdx +++ b/ja/built-in-nodes/ManualSigmas.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ManualSigmas" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ManualSigmas/ja.md) - 以下が翻訳結果です。 ManualSigmasノードを使用すると、サンプリングプロセスで使用するノイズレベル（シグマ）のカスタムシーケンスを手動で定義できます。数値のリストを文字列として入力すると、ノードがそれらをテンソルに変換し、他のサンプリングノードで使用できるようにします。これは、テストや特定のノイズスケジュールを作成する際に便利です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `シグマ` | STRING | はい | カンマまたはスペースで区切られた任意の数値 | シグマ値を含む文字列です。ノードはこの文字列からすべての数値を抽出します。例："1, 0.5, 0.1" または "1 0.5 0.1"。デフォルト値は "1, 0.5" です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `シグマ` | シグマ値を含む文字列です。ノードはこの文字列からすべての数値を抽出します。例："1, 0.5, 0.1" または "1 0.5 0.1"。デフォルト値は "1, 0.5" です。 | STRING | はい | カンマまたはスペースで区切られた任意の数値 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `シグマ` | SIGMAS | 入力文字列から抽出されたシグマ値のシーケンスを含むテンソルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `シグマ` | 入力文字列から抽出されたシグマ値のシーケンスを含むテンソルです。 | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ManualSigmas/ja.md) --- **Source fingerprint (SHA-256):** `b815633dfea8f529f487f46b2d0464fa8c1045df8c4d4ef586bd36ad6f4a28db` diff --git a/ja/built-in-nodes/MarkdownNote.mdx b/ja/built-in-nodes/MarkdownNote.mdx index 25b47b170..b2b550b8d 100644 --- a/ja/built-in-nodes/MarkdownNote.mdx +++ b/ja/built-in-nodes/MarkdownNote.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MarkdownNote" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MarkdownNote/ja.md) - 以下は、指定されたルールに従って翻訳した日本語ドキュメントです。 ワークフローに注釈を追加するノードです。Markdown構文を使用したテキストの書式設定をサポートしています。 @@ -15,4 +13,6 @@ mode: wide ## 出力 -このノードには出力はありません。 \ No newline at end of file +このノードには出力はありません。 + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MarkdownNote/ja.md) diff --git a/ja/built-in-nodes/MaskComposite.mdx b/ja/built-in-nodes/MaskComposite.mdx index 5484c2e5e..4ca82de68 100644 --- a/ja/built-in-nodes/MaskComposite.mdx +++ b/ja/built-in-nodes/MaskComposite.mdx @@ -5,22 +5,22 @@ sidebarTitle: "MaskComposite" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskComposite/ja.md) - このノードは、加算、減算、論理演算などの様々な操作を通じて2つのマスク入力を組み合わせ、新しく変更されたマスクを生成することに特化しています。マスクデータの操作を抽象的に処理し、複雑なマスキング効果を実現することで、マスクベースの画像編集および処理ワークフローにおいて重要なコンポーネントとして機能します。 ## 入力 -| パラメータ | データ型 | 説明 | -| --------- | ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------ | -| `目的地`| MASK | ソースマスクとの操作に基づいて変更されるプライマリマスクです。複合操作において中心的な役割を果たし、変更のベースとして機能します。 | -| `ソース` | MASK | デスティネーションマスクと組み合わせて指定された操作を実行するために使用されるセカンダリマスクであり、最終的な出力マスクに影響を与えます。 | -| `x` | INT | ソースマスクがデスティネーションマスクに適用される水平方向のオフセットであり、複合結果の位置に影響を与えます。 | -| `y` | INT | ソースマスクがデスティネーションマスクに適用される垂直方向のオフセットであり、複合結果の位置に影響を与えます。 | -| `操作` | COMBO[STRING] | デスティネーションマスクとソースマスクの間に適用する操作の種類を指定します。'add'、'subtract'、論理演算などがあり、複合効果の性質を決定します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `目的地` | ソースマスクとの操作に基づいて変更されるプライマリマスクです。複合操作において中心的な役割を果たし、変更のベースとして機能します。 | MASK | +| `ソース` | デスティネーションマスクと組み合わせて指定された操作を実行するために使用されるセカンダリマスクであり、最終的な出力マスクに影響を与えます。 | MASK | +| `x` | ソースマスクがデスティネーションマスクに適用される水平方向のオフセットであり、複合結果の位置に影響を与えます。 | INT | +| `y` | ソースマスクがデスティネーションマスクに適用される垂直方向のオフセットであり、複合結果の位置に影響を与えます。 | INT | +| `操作` | デスティネーションマスクとソースマスクの間に適用する操作の種類を指定します。'add'、'subtract'、論理演算などがあり、複合効果の性質を決定します。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -| --------- | ------------ | ---------------------------------------------------------------------------- | -| `mask` | MASK | デスティネーションマスクとソースマスクの間に指定された操作を適用した結果のマスクであり、複合結果を表します。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `mask` | デスティネーションマスクとソースマスクの間に指定された操作を適用した結果のマスクであり、複合結果を表します。 | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskComposite/ja.md) diff --git a/ja/built-in-nodes/MaskPreview.mdx b/ja/built-in-nodes/MaskPreview.mdx index 343e1befe..a69af4799 100644 --- a/ja/built-in-nodes/MaskPreview.mdx +++ b/ja/built-in-nodes/MaskPreview.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MaskPreview" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskPreview/ja.md) - 以下は、指定された英語ドキュメントを日本語に翻訳したものです。 --- @@ -15,18 +13,20 @@ MaskPreviewノードは、マスクデータをプレビュー画像としてCom ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `mask` | MASK | はい | - | プレビューおよび画像として保存するマスクデータ | -| `filename_prefix` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："ComfyUI"） | -| `prompt` | PROMPT | いいえ | - | メタデータ用のプロンプト情報（自動的に提供されます） | -| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | メタデータ用の追加PNG情報（自動的に提供されます） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `mask` | プレビューおよび画像として保存するマスクデータ | MASK | はい | - | +| `filename_prefix` | 出力ファイル名のプレフィックス（デフォルト："ComfyUI"） | STRING | いいえ | - | +| `prompt` | メタデータ用のプロンプト情報（自動的に提供されます） | PROMPT | いいえ | - | +| `extra_pnginfo` | メタデータ用の追加PNG情報（自動的に提供されます） | EXTRA_PNGINFO | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ui` | DICT | UIに表示するためのプレビュー画像情報とメタデータを含みます | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ui` | UIに表示するためのプレビュー画像情報とメタデータを含みます | DICT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskPreview/ja.md) --- **Source fingerprint (SHA-256):** `9f64adf4a0130368618fc1ca3655192686815ab10b4153f9552ef23149928e3f` diff --git a/ja/built-in-nodes/MaskToImage.mdx b/ja/built-in-nodes/MaskToImage.mdx index 937b03b13..7bbf69dcf 100644 --- a/ja/built-in-nodes/MaskToImage.mdx +++ b/ja/built-in-nodes/MaskToImage.mdx @@ -5,18 +5,18 @@ sidebarTitle: "MaskToImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskToImage/ja.md) - `MaskToImage` ノードは、マスクを画像形式に変換するために設計されています。この変換により、マスクを画像として可視化し、さらに処理することが可能になり、マスクベースの操作と画像ベースのアプリケーションの橋渡しを容易にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `マスク` | `MASK` | マスク入力は変換プロセスに不可欠であり、画像形式に変換されるソースデータとして機能します。この入力は、結果として得られる画像の形状と内容を決定します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `マスク` | マスク入力は変換プロセスに不可欠であり、画像形式に変換されるソースデータとして機能します。この入力は、結果として得られる画像の形状と内容を決定します。 | `MASK` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `image` | `IMAGE` | 出力は入力マスクの画像表現であり、視覚的な確認やさらなる画像ベースの操作を可能にします。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `image` | 出力は入力マスクの画像表現であり、視覚的な確認やさらなる画像ベースの操作を可能にします。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskToImage/ja.md) diff --git a/ja/built-in-nodes/MediaPipeFaceLandmarker.mdx b/ja/built-in-nodes/MediaPipeFaceLandmarker.mdx index ee4e932a8..bc9aa9e72 100644 --- a/ja/built-in-nodes/MediaPipeFaceLandmarker.mdx +++ b/ja/built-in-nodes/MediaPipeFaceLandmarker.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MediaPipeFaceLandmarker" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,21 +13,23 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `face_detection_model` | FACE_DETECTION_MODEL | はい | | ランドマーク検出に使用するMediaPipe顔検出モデルです。 | -| `image` | IMAGE | はい | | 顔を検出する入力画像または画像のバッチです。 | -| `detector_variant` | COMBO | はい | `"short"`
`"full"`
`"both"` | 顔検出器の範囲です。`"short"`は近距離の顔（カメラから約2m以内）に最適化されています。`"full"`はより遠く/小さい顔（最大約5m）をカバーしますが、処理は遅くなります。`"both"`は両方の検出器を実行し、フレームごとにより多くの顔が見つかった方を採用します（検出コストは約2倍）。デフォルト: `"short"`。 | -| `num_faces` | INT | はい | 0 ～ 16 | フレームごとに返す顔の最大数です。0は上限なし（検出されたすべての顔を返す）を意味します。デフォルト: 1。 | -| `min_confidence` | FLOAT | いいえ | 0.00 ～ 1.00 | BlazeFaceのスコアしきい値です。値を低くすると、小さな顔や隠れた顔を検出しやすくなります。デフォルト: 0.5。 | -| `missing_frame_fallback` | COMBO | いいえ | `"empty"`
`"previous"`
`"interpolate"` | バッチ内で検出に失敗したフレームの動作です。`"empty"`はそのフレームを顔なしのままにします。`"previous"`は最後に成功した検出結果をコピーします。`"interpolate"`は前後の成功フレーム間でランドマーク/バウンディングボックス/ブレンドシェイプを線形補間します。複数顔の場合、フレーム間で顔を貪欲法によるバウンディングボックス中心の最近傍法でペアリングします。デフォルト: `"empty"`。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `face_detection_model` | ランドマーク検出に使用するMediaPipe顔検出モデルです。 | FACE_DETECTION_MODEL | はい | | +| `image` | 顔を検出する入力画像または画像のバッチです。 | IMAGE | はい | | +| `detector_variant` | 顔検出器の範囲です。`"short"`は近距離の顔（カメラから約2m以内）に最適化されています。`"full"`はより遠く/小さい顔（最大約5m）をカバーしますが、処理は遅くなります。`"both"`は両方の検出器を実行し、フレームごとにより多くの顔が見つかった方を採用します（検出コストは約2倍）。デフォルト: `"short"`。 | COMBO | はい | `"short"`
`"full"`
`"both"` | +| `num_faces` | フレームごとに返す顔の最大数です。0は上限なし（検出されたすべての顔を返す）を意味します。デフォルト: 1。 | INT | はい | 0 ～ 16 | +| `min_confidence` | BlazeFaceのスコアしきい値です。値を低くすると、小さな顔や隠れた顔を検出しやすくなります。デフォルト: 0.5。 | FLOAT | いいえ | 0.00 ～ 1.00 | +| `missing_frame_fallback` | バッチ内で検出に失敗したフレームの動作です。`"empty"`はそのフレームを顔なしのままにします。`"previous"`は最後に成功した検出結果をコピーします。`"interpolate"`は前後の成功フレーム間でランドマーク/バウンディングボックス/ブレンドシェイプを線形補間します。複数顔の場合、フレーム間で顔を貪欲法によるバウンディングボックス中心の最近傍法でペアリングします。デフォルト: `"empty"`。 | COMBO | いいえ | `"empty"`
`"previous"`
`"interpolate"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `bboxes` | FACE_LANDMARKS | フレームごとの顔検出結果を含む構造化出力です。468個の顔のランドマーク、ARKit-52ブレンドシェイプ係数、変換行列、メッシュ可視化用の接続セットが含まれます。 | -| `bboxes` | BOUNDING_BOX | 検出された各顔のバウンディングボックスのリストです。座標（x, y, 幅, 高さ）、ラベル「face」、信頼度スコアが含まれます。入力フレームごとに1つのリストが出力されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `bboxes` | フレームごとの顔検出結果を含む構造化出力です。468個の顔のランドマーク、ARKit-52ブレンドシェイプ係数、変換行列、メッシュ可視化用の接続セットが含まれます。 | FACE_LANDMARKS | +| `bboxes` | 検出された各顔のバウンディングボックスのリストです。座標（x, y, 幅, 高さ）、ラベル「face」、信頼度スコアが含まれます。入力フレームごとに1つのリストが出力されます。 | BOUNDING_BOX | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ja.md) --- **Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba` diff --git a/ja/built-in-nodes/MediaPipeFaceMask.mdx b/ja/built-in-nodes/MediaPipeFaceMask.mdx index 9c48c00ff..77c6af617 100644 --- a/ja/built-in-nodes/MediaPipeFaceMask.mdx +++ b/ja/built-in-nodes/MediaPipeFaceMask.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MediaPipeFaceMask" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,27 +13,29 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `face_landmarks` | FACE_LANDMARKS | はい | - | MediaPipe 顔検出ノードからの顔ランドマークデータ。 | -| `regions` | COMBO | はい | `"all"`
`"custom"` | マスクに含める顔領域を選択します。`"all"` はすべての顔領域（顔の楕円、唇、目、虹彩）の和集合からマスクを作成します。`"custom"` では各領域を個別にオン/オフできます。デフォルト: `"all"` | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `face_landmarks` | MediaPipe 顔検出ノードからの顔ランドマークデータ。 | FACE_LANDMARKS | はい | - | +| `regions` | マスクに含める顔領域を選択します。`"all"` はすべての顔領域（顔の楕円、唇、目、虹彩）の和集合からマスクを作成します。`"custom"` では各領域を個別にオン/オフできます。デフォルト: `"all"` | COMBO | はい | `"all"`
`"custom"` | `regions` が `"custom"` に設定されている場合、以下の追加のブールパラメータが使用可能になります。 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `face_oval` | BOOLEAN | いいえ | True/False | マスクに顔の楕円領域を含めます。デフォルト: True | -| `lips` | BOOLEAN | いいえ | True/False | マスクに唇領域を含めます。デフォルト: True | -| `eyes` | BOOLEAN | いいえ | True/False | マスクに目領域を含めます。デフォルト: True | -| `irises` | BOOLEAN | いいえ | True/False | マスクに虹彩領域を含めます。デフォルト: True | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `face_oval` | マスクに顔の楕円領域を含めます。デフォルト: True | BOOLEAN | いいえ | True/False | +| `lips` | マスクに唇領域を含めます。デフォルト: True | BOOLEAN | いいえ | True/False | +| `eyes` | マスクに目領域を含めます。デフォルト: True | BOOLEAN | いいえ | True/False | +| `irises` | マスクに虹彩領域を含めます。デフォルト: True | BOOLEAN | いいえ | True/False | **注:** `"all"` モードを使用する場合、マスクにはすべての領域が結合されて含まれます。顔の楕円は他の領域を内包するため、`"all"` を選択すると、実質的に顔の楕円のみを選択した場合と同じ結果が得られます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MASK` | MASK | 顔領域が白（値 1.0）、背景が黒（値 0.0）のバイナリマスクテンソル。マスクは入力画像と同じ寸法を持ち、バッチ内のフレームごとに1つのマスクが含まれます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MASK` | 顔領域が白（値 1.0）、背景が黒（値 0.0）のバイナリマスクテンソル。マスクは入力画像と同じ寸法を持ち、バッチ内のフレームごとに1つのマスクが含まれます。 | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/ja.md) --- **Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66` diff --git a/ja/built-in-nodes/MediaPipeFaceMeshVisualize.mdx b/ja/built-in-nodes/MediaPipeFaceMeshVisualize.mdx index 67d24968e..707cbb475 100644 --- a/ja/built-in-nodes/MediaPipeFaceMeshVisualize.mdx +++ b/ja/built-in-nodes/MediaPipeFaceMeshVisualize.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MediaPipeFaceMeshVisualize" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,22 +13,24 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `face_landmarks` | FACE_LANDMARKS | はい | | 検出ノードからの顔ランドマークデータです。 | -| `image` | IMAGE | いいえ | | メッシュを描画する画像です。接続されていない場合は、検出結果と同じサイズの黒いキャンバスが使用されます。 | -| `connections` | COMBO | はい | `"all"`
`"fill"`
`"custom"` | フェイスメッシュのどの部分を描画するかを決定します。`"all"` は完全なメッシュ（楕円、目、眉、唇、虹彩、鼻）を描画します。`"fill"` は顔の楕円（シルエットマスク）の塗りつぶされたポリゴンを描画します。`"custom"` では各特徴を個別にオン/オフできます。（デフォルト: `"all"`） | -| `color` | COLOR | はい | | メッシュの線と点の色です。（デフォルト: `#00ff00`） | -| `thickness` | INT | はい | 0 ～ 8 | メッシュの線の太さ（ピクセル単位）です。0 に設定すると線の描画が無効になります。（デフォルト: 1） | -| `point_size` | INT | はい | 0 ～ 16 | ランドマークの点の半径（ピクセル単位）です。0 に設定すると点の描画が無効になります。（デフォルト: 2） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `face_landmarks` | 検出ノードからの顔ランドマークデータです。 | FACE_LANDMARKS | はい | | +| `image` | メッシュを描画する画像です。接続されていない場合は、検出結果と同じサイズの黒いキャンバスが使用されます。 | IMAGE | いいえ | | +| `connections` | フェイスメッシュのどの部分を描画するかを決定します。`"all"` は完全なメッシュ（楕円、目、眉、唇、虹彩、鼻）を描画します。`"fill"` は顔の楕円（シルエットマスク）の塗りつぶされたポリゴンを描画します。`"custom"` では各特徴を個別にオン/オフできます。（デフォルト: `"all"`） | COMBO | はい | `"all"`
`"fill"`
`"custom"` | +| `color` | メッシュの線と点の色です。（デフォルト: `#00ff00`） | COLOR | はい | | +| `thickness` | メッシュの線の太さ（ピクセル単位）です。0 に設定すると線の描画が無効になります。（デフォルト: 1） | INT | はい | 0 ～ 8 | +| `point_size` | ランドマークの点の半径（ピクセル単位）です。0 に設定すると点の描画が無効になります。（デフォルト: 2） | INT | はい | 0 ～ 16 | **`connections` パラメータに関する注意:** `"custom"` が選択された場合、各顔の特徴（例: `face_oval`、`lips`、`left_eye`、`right_eye`、`left_eyebrow`、`right_eyebrow`、`left_iris`、`right_iris`、`nose`、`tesselation`）に対して追加のブール入力が表示されます。有効にした特徴のみが描画されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | 顔ランドマークメッシュが描画された入力画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | 顔ランドマークメッシュが描画された入力画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ja.md) --- **Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243` diff --git a/ja/built-in-nodes/MergeImageLists.mdx b/ja/built-in-nodes/MergeImageLists.mdx index 249bb9c34..09e0eeb0f 100644 --- a/ja/built-in-nodes/MergeImageLists.mdx +++ b/ja/built-in-nodes/MergeImageLists.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MergeImageLists" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeImageLists/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,17 +12,19 @@ Merge Image Lists ノードは、複数の個別の画像リストを1つの連 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 結合される画像のリストです。この入力は複数の接続を受け付けることができ、接続された各リストは最終的な出力に連結されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 結合される画像のリストです。この入力は複数の接続を受け付けることができ、接続された各リストは最終的な出力に連結されます。 | IMAGE | はい | - | **注記：** このノードは複数の入力を受け取るように設計されています。単一の `images` 入力ソケットに複数の画像リストを接続できます。ノードは、接続されたすべてのリストからすべての画像を自動的に連結し、1つの出力リストとして出力します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 接続されたすべての入力リストの画像を含む、単一の結合されたリストです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 接続されたすべての入力リストの画像を含む、単一の結合されたリストです。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeImageLists/ja.md) --- **Source fingerprint (SHA-256):** `8fc53091b817a5036aae022aa841ba11fae0ed3242a969f5ae9072f48e061366` diff --git a/ja/built-in-nodes/MergeSplat.mdx b/ja/built-in-nodes/MergeSplat.mdx new file mode 100644 index 000000000..b95937316 --- /dev/null +++ b/ja/built-in-nodes/MergeSplat.mdx @@ -0,0 +1,33 @@ +--- +title: "MergeSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MergeSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MergeSplat" +icon: "circle" +mode: wide +--- +# スプラットの結合 + +Merge Splatsノードは、複数のガウシアンスプラットモデルをデータ連結により1つのスプラットに結合します。これは、異なるシードで生成された同じ潜在変数の複数のデコード結果をマージする場合に有用であり、表面を高密度化し、3Dメッシュ作成時の品質を向上させることができます。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `splat0` | 結合する最初のガウシアンスプラット | SPLAT | はい | 最低1つのスプラットが必要 | +| `splat1` | 結合する2番目のガウシアンスプラット | SPLAT | はい | 最低1つのスプラットが必要 | +| `splat2` | 結合する追加のガウシアンスプラット（オプション） | SPLAT | いいえ | 最大32スプラットまで | +| `splat3` | 結合する追加のガウシアンスプラット（オプション） | SPLAT | いいえ | 最大32スプラットまで | +| ... | 追加のスプラット（splat31まで） | SPLAT | いいえ | 最大32スプラットまで | + +**注記：** 入力リストは、スプラットを接続するたびに自動的に新しいスロットが追加されます。最低1つのスプラットを接続する必要があります。このノードは最小2、最大32のスプラットを受け入れます。 + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `splat` | すべての入力スプラットが連結された結合済みガウシアンスプラット | SPLAT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeSplat/ja.md) + +--- +**Source fingerprint (SHA-256):** `597671a3c37d1a4fb7b5a772396e08b7041b3fe8f04120891b1382d42e409d26` diff --git a/ja/built-in-nodes/MergeTextLists.mdx b/ja/built-in-nodes/MergeTextLists.mdx index 4c4844769..4be1adab8 100644 --- a/ja/built-in-nodes/MergeTextLists.mdx +++ b/ja/built-in-nodes/MergeTextLists.mdx @@ -5,23 +5,23 @@ sidebarTitle: "MergeTextLists" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeTextLists/ja.md) - このノードは、複数のテキストリストを1つの結合されたリストに統合します。テキスト入力をリストとして受け取り、それらを連結するように設計されています。このノードは、統合されたリスト内のテキストの総数をログに記録します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `テキスト` | STRING | はい | なし | 統合されるテキストリスト。複数のリストを入力に接続でき、それらは1つに連結されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `テキスト` | 統合されるテキストリスト。複数のリストを入力に接続でき、それらは1つに連結されます。 | STRING | はい | なし | **注記:** このノードはグループプロセス（`is_group_process = True`）として設定されています。つまり、メインの処理関数が実行される前に、複数のリスト入力を自動的に連結して処理します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `テキスト` | STRING | すべての入力テキストを含む、単一の統合されたリスト。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `テキスト` | すべての入力テキストを含む、単一の統合されたリスト。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeTextLists/ja.md) --- **Source fingerprint (SHA-256):** `043a39a373d03f1ff79dd0746070171bab4d5d915c985e4e64fd35f802b09f69` diff --git a/ja/built-in-nodes/MeshyAnimateModelNode.mdx b/ja/built-in-nodes/MeshyAnimateModelNode.mdx index 287990e6b..e9fef7695 100644 --- a/ja/built-in-nodes/MeshyAnimateModelNode.mdx +++ b/ja/built-in-nodes/MeshyAnimateModelNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "MeshyAnimateModelNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyAnimateModelNode/ja.md) - このノードは、Meshyサービスを使用してすでにリギングされた3Dキャラクターモデルに、特定のアニメーションを適用します。以前のリギング操作のタスクIDと、ライブラリから目的のアニメーションを選択するためのアクションIDを受け取ります。その後、ノードはリクエストを処理し、アニメーション化されたモデルをGLBおよびFBXの両方のファイル形式で返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `rig_task_id` | STRING | はい | なし | 以前に完了したMeshyキャラクターリギング操作の一意のタスクIDです。 | -| `action_id` | INT | はい | 0 ～ 696 | 適用するアニメーションアクションのID番号です。利用可能な値の一覧については、[https://docs.meshy.ai/en/api/animation-library](https://docs.meshy.ai/en/api/animation-library) をご覧ください。（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `rig_task_id` | 以前に完了したMeshyキャラクターリギング操作の一意のタスクIDです。 | STRING | はい | なし | +| `action_id` | 適用するアニメーションアクションのID番号です。利用可能な値の一覧については、[https://docs.meshy.ai/en/api/animation-library](https://docs.meshy.ai/en/api/animation-library) をご覧ください。（デフォルト：0） | INT | はい | 0 ～ 696 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `GLB` | STRING | アニメーション化されたモデルの文字列識別子です。この出力は後方互換性のためにのみ提供されています。 | -| `FBX` | FILE3DGLB | GLB形式のアニメーション化された3Dモデルファイルです。 | -| `FBX` | FILE3DFBX | FBX形式のアニメーション化された3Dモデルファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `GLB` | アニメーション化されたモデルの文字列識別子です。この出力は後方互換性のためにのみ提供されています。 | STRING | +| `FBX` | GLB形式のアニメーション化された3Dモデルファイルです。 | FILE3DGLB | +| `FBX` | FBX形式のアニメーション化された3Dモデルファイルです。 | FILE3DFBX | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyAnimateModelNode/ja.md) --- **Source fingerprint (SHA-256):** `3b7610b5f6f763dde86a52f9212b3fc98f41e54bda30097fcb8f5f0bd020899e` diff --git a/ja/built-in-nodes/MeshyImageToModelNode.mdx b/ja/built-in-nodes/MeshyImageToModelNode.mdx index c5c7c19d7..657eee37b 100644 --- a/ja/built-in-nodes/MeshyImageToModelNode.mdx +++ b/ja/built-in-nodes/MeshyImageToModelNode.mdx @@ -5,28 +5,26 @@ sidebarTitle: "MeshyImageToModelNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyImageToModelNode/ja.md) - 以下が翻訳結果です。 Meshy: Image to Model ノードは、Meshy API を使用して、1枚の入力画像から3Dモデルを生成します。画像をアップロードし、処理タスクを送信し、生成された3Dモデルファイル（GLBおよびFBX）と参照用のタスクIDを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"latest"` | 生成に使用するAIモデルのバージョンを指定します。 | -| `image` | IMAGE | はい | - | 3Dモデルに変換する入力画像です。 | -| `should_remesh` | DYNAMIC COMBO | はい | `"true"`
`"false"` | 生成されたメッシュを処理するかどうかを指定します。`"false"` に設定すると、未処理の三角形メッシュが返されます。 | -| `topology` | COMBO | いいえ* | `"triangle"`
`"quad"` | リメッシュ後のモデルの目標ポリゴントポロジーです。この入力は、`should_remesh` が `"true"` に設定されている場合のみ使用可能です。 | -| `target_polycount` | INT | いいえ* | 100 - 300000 | リメッシュ後のモデルの目標ポリゴン数です。この入力は、`should_remesh` が `"true"` に設定されている場合のみ使用可能です。デフォルト値は300000です。 | -| `symmetry_mode` | COMBO | はい | `"auto"`
`"on"`
`"off"` | 生成された3Dモデルに適用する対称性を制御します。 | -| `should_texture` | DYNAMIC COMBO | はい | `"true"`
`"false"` | モデルにテクスチャを生成するかどうかを指定します。`"false"` に設定すると、テクスチャフェーズをスキップし、テクスチャのないメッシュが返されます。 | -| `enable_pbr` | BOOLEAN | いいえ* | - | `should_texture` が `"true"` の場合、このオプションはベースカラーに加えてPBRマップ（メタリック、ラフネス、法線）を生成します。デフォルト値は `False` です。 | -| `texture_prompt` | STRING | いいえ* | - | テクスチャ処理をガイドするテキストプロンプトです（最大600文字）。この入力は、`should_texture` が `"true"` に設定されている場合のみ使用可能です。`texture_image` と同時に使用することはできません。 | -| `texture_image` | IMAGE | いいえ* | - | テクスチャ処理をガイドする画像です。この入力は、`should_texture` が `"true"` に設定されている場合のみ使用可能です。`texture_prompt` と同時に使用することはできません。 | -| `pose_mode` | COMBO | はい | `""` (空)
`"A-pose"`
`"T-pose"` | 生成されたモデルのポーズモードを指定します。これは高度なパラメータです。 | -| `seed` | INT | はい | 0 - 2147483647 | 生成プロセスのシード値です。シード値に関わらず、結果は非決定的です。デフォルト値は0です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 生成に使用するAIモデルのバージョンを指定します。 | COMBO | はい | `"latest"` | +| `image` | 3Dモデルに変換する入力画像です。 | IMAGE | はい | - | +| `should_remesh` | 生成されたメッシュを処理するかどうかを指定します。`"false"` に設定すると、未処理の三角形メッシュが返されます。 | DYNAMIC COMBO | はい | `"true"`
`"false"` | +| `topology` | リメッシュ後のモデルの目標ポリゴントポロジーです。この入力は、`should_remesh` が `"true"` に設定されている場合のみ使用可能です。 | COMBO | いいえ* | `"triangle"`
`"quad"` | +| `target_polycount` | リメッシュ後のモデルの目標ポリゴン数です。この入力は、`should_remesh` が `"true"` に設定されている場合のみ使用可能です。デフォルト値は300000です。 | INT | いいえ* | 100 - 300000 | +| `symmetry_mode` | 生成された3Dモデルに適用する対称性を制御します。 | COMBO | はい | `"auto"`
`"on"`
`"off"` | +| `should_texture` | モデルにテクスチャを生成するかどうかを指定します。`"false"` に設定すると、テクスチャフェーズをスキップし、テクスチャのないメッシュが返されます。 | DYNAMIC COMBO | はい | `"true"`
`"false"` | +| `enable_pbr` | `should_texture` が `"true"` の場合、このオプションはベースカラーに加えてPBRマップ（メタリック、ラフネス、法線）を生成します。デフォルト値は `False` です。 | BOOLEAN | いいえ* | - | +| `texture_prompt` | テクスチャ処理をガイドするテキストプロンプトです（最大600文字）。この入力は、`should_texture` が `"true"` に設定されている場合のみ使用可能です。`texture_image` と同時に使用することはできません。 | STRING | いいえ* | - | +| `texture_image` | テクスチャ処理をガイドする画像です。この入力は、`should_texture` が `"true"` に設定されている場合のみ使用可能です。`texture_prompt` と同時に使用することはできません。 | IMAGE | いいえ* | - | +| `pose_mode` | 生成されたモデルのポーズモードを指定します。これは高度なパラメータです。 | COMBO | はい | `""` (空)
`"A-pose"`
`"T-pose"` | +| `seed` | 生成プロセスのシード値です。シード値に関わらず、結果は非決定的です。デフォルト値は0です。 | INT | はい | 0 - 2147483647 | **パラメータ制約に関する注意:** @@ -36,12 +34,14 @@ Meshy: Image to Model ノードは、Meshy API を使用して、1枚の入力 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `meshy_task_id` | STRING | 生成されたGLBモデルのファイル名です（後方互換性のために維持されています）。 | -| `GLB` | MESHY_TASK_ID | Meshy APIタスクの一意の識別子であり、参照やトラブルシューティングに使用できます。 | -| `FBX` | FILE3DGLB | GLBファイル形式で生成された3Dモデルです。 | -| `FBX` | FILE3DFBX | FBXファイル形式で生成された3Dモデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `meshy_task_id` | 生成されたGLBモデルのファイル名です（後方互換性のために維持されています）。 | STRING | +| `GLB` | Meshy APIタスクの一意の識別子であり、参照やトラブルシューティングに使用できます。 | MESHY_TASK_ID | +| `FBX` | GLBファイル形式で生成された3Dモデルです。 | FILE3DGLB | +| `FBX` | FBXファイル形式で生成された3Dモデルです。 | FILE3DFBX | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyImageToModelNode/ja.md) --- **Source fingerprint (SHA-256):** `134d9250d8b447bbbd2905f827e81b67f491ba355ebb93d4d256324b644100a2` diff --git a/ja/built-in-nodes/MeshyMultiImageToModelNode.mdx b/ja/built-in-nodes/MeshyMultiImageToModelNode.mdx index 2cbd74b76..29846fb98 100644 --- a/ja/built-in-nodes/MeshyMultiImageToModelNode.mdx +++ b/ja/built-in-nodes/MeshyMultiImageToModelNode.mdx @@ -5,26 +5,24 @@ sidebarTitle: "MeshyMultiImageToModelNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/ja.md) - このノードは、Meshy APIを使用して複数の入力画像から3Dモデルを生成します。提供された画像をアップロードし、処理タスクを送信し、結果として得られる3Dモデルファイル（GLBおよびFBX）と、参照用のタスクIDを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -| :--- | :--- | :--- | :--- | :--- | -| `model` | COMBO | はい | `"latest"` | 使用するAIモデルのバージョンを指定します。 | -| `images` | IMAGE | はい | 2～4枚の画像 | 3Dモデルの生成に使用する画像のセットです。2～4枚の画像を提供する必要があります。 | -| `should_remesh` | COMBO | はい | `"true"`
`"false"` | 生成されたメッシュを処理するかどうかを決定します。`"false"`に設定すると、ノードは未処理の三角形メッシュを返します。 | -| `topology` | COMBO | いいえ | `"triangle"`
`"quad"` | リメッシュ後の出力のターゲットポリゴンタイプです。このパラメータは、`should_remesh`が`"true"`に設定されている場合にのみ使用可能かつ必須となります。 | -| `target_polycount` | INT | いいえ | 100～300000 | リメッシュ後のモデルのターゲットポリゴン数です（デフォルト：300000）。このパラメータは、`should_remesh`が`"true"`に設定されている場合にのみ使用可能です。 | -| `symmetry_mode` | COMBO | はい | `"auto"`
`"on"`
`"off"` | 生成されたモデルに対称性を適用するかどうかを制御します。 | -| `should_texture` | COMBO | はい | `"true"`
`"false"` | テクスチャを生成するかどうかを決定します。`"false"`に設定すると、テクスチャフェーズをスキップし、テクスチャのないメッシュを返します。 | -| `enable_pbr` | BOOLEAN | いいえ | True / False | `should_texture`が`"true"`の場合、このオプションはベースカラーに加えてPBRマップ（メタリック、ラフネス、法線）を生成します（デフォルト：False）。 | -| `texture_prompt` | STRING | いいえ | - | テクスチャ処理をガイドするテキストプロンプトです（最大600文字）。`texture_image`と同時に使用することはできません。このパラメータは、`should_texture`が`"true"`に設定されている場合にのみ使用可能です。 | -| `texture_image` | IMAGE | いいえ | - | テクスチャ処理をガイドする画像です。`texture_image`と`texture_prompt`は、同時にどちらか一方のみ使用できます。このパラメータは、`should_texture`が`"true"`に設定されている場合にのみ使用可能です。 | -| `pose_mode` | COMBO | はい | `""` (空)
`"A-pose"`
`"T-pose"` | 生成されたモデルのポーズモードを指定します。 | -| `seed` | INT | はい | 0～2147483647 | 生成プロセスのシード値です（デフォルト：0）。シードに関係なく結果は非決定的ですが、シードを変更することでノードの再実行をトリガーできます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 使用するAIモデルのバージョンを指定します。 | COMBO | はい | `"latest"` | +| `images` | 3Dモデルの生成に使用する画像のセットです。2～4枚の画像を提供する必要があります。 | IMAGE | はい | 2～4枚の画像 | +| `should_remesh` | 生成されたメッシュを処理するかどうかを決定します。`"false"`に設定すると、ノードは未処理の三角形メッシュを返します。 | COMBO | はい | `"true"`
`"false"` | +| `topology` | リメッシュ後の出力のターゲットポリゴンタイプです。このパラメータは、`should_remesh`が`"true"`に設定されている場合にのみ使用可能かつ必須となります。 | COMBO | いいえ | `"triangle"`
`"quad"` | +| `target_polycount` | リメッシュ後のモデルのターゲットポリゴン数です（デフォルト：300000）。このパラメータは、`should_remesh`が`"true"`に設定されている場合にのみ使用可能です。 | INT | いいえ | 100～300000 | +| `symmetry_mode` | 生成されたモデルに対称性を適用するかどうかを制御します。 | COMBO | はい | `"auto"`
`"on"`
`"off"` | +| `should_texture` | テクスチャを生成するかどうかを決定します。`"false"`に設定すると、テクスチャフェーズをスキップし、テクスチャのないメッシュを返します。 | COMBO | はい | `"true"`
`"false"` | +| `enable_pbr` | `should_texture`が`"true"`の場合、このオプションはベースカラーに加えてPBRマップ（メタリック、ラフネス、法線）を生成します（デフォルト：False）。 | BOOLEAN | いいえ | True / False | +| `texture_prompt` | テクスチャ処理をガイドするテキストプロンプトです（最大600文字）。`texture_image`と同時に使用することはできません。このパラメータは、`should_texture`が`"true"`に設定されている場合にのみ使用可能です。 | STRING | いいえ | - | +| `texture_image` | テクスチャ処理をガイドする画像です。`texture_image`と`texture_prompt`は、同時にどちらか一方のみ使用できます。このパラメータは、`should_texture`が`"true"`に設定されている場合にのみ使用可能です。 | IMAGE | いいえ | - | +| `pose_mode` | 生成されたモデルのポーズモードを指定します。 | COMBO | はい | `""` (空)
`"A-pose"`
`"T-pose"` | +| `seed` | 生成プロセスのシード値です（デフォルト：0）。シードに関係なく結果は非決定的ですが、シードを変更することでノードの再実行をトリガーできます。 | INT | はい | 0～2147483647 | **パラメータの制約：** @@ -35,12 +33,14 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -| :--- | :--- | :--- | -| `meshy_task_id` | STRING | 生成されたGLBモデルのファイル名です。この出力は後方互換性のために提供されています。 | -| `GLB` | MESHY_TASK_ID | Meshy APIタスクの一意の識別子です。 | -| `FBX` | FILE3DGLB | GLB形式で生成された3Dモデルです。 | -| `FBX` | FILE3DFBX | FBX形式で生成された3Dモデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `meshy_task_id` | 生成されたGLBモデルのファイル名です。この出力は後方互換性のために提供されています。 | STRING | +| `GLB` | Meshy APIタスクの一意の識別子です。 | MESHY_TASK_ID | +| `FBX` | GLB形式で生成された3Dモデルです。 | FILE3DGLB | +| `FBX` | FBX形式で生成された3Dモデルです。 | FILE3DFBX | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/ja.md) --- **Source fingerprint (SHA-256):** `e6f75f50645c8b2cf5ebbe037edb077ef1eb0ea1baf67c581d60ac0033686d00` diff --git a/ja/built-in-nodes/MeshyRefineNode.mdx b/ja/built-in-nodes/MeshyRefineNode.mdx index 8ee796b14..baa6daf3a 100644 --- a/ja/built-in-nodes/MeshyRefineNode.mdx +++ b/ja/built-in-nodes/MeshyRefineNode.mdx @@ -5,32 +5,32 @@ sidebarTitle: "MeshyRefineNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRefineNode/ja.md) - 以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。 Meshy: 下書きモデル精細化ノードは、以前に生成された3D下書きモデルを受け取り、その品質を向上させ、オプションでテクスチャを追加します。Meshy APIに精細化タスクを送信し、処理が完了すると最終的な3Dモデルファイルを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"latest"` | 精細化に使用するAIモデルを指定します。現在は"latest"モデルのみ利用可能です。 | -| `meshy_task_id` | MESHY_TASK_ID | はい | - | 精細化したい下書きモデルの一意のタスクIDです。 | -| `enable_pbr` | BOOLEAN | いいえ | - | ベースカラーに加えてPBRマップ（メタリック、ラフネス、法線）を生成します。注意：Sculptureスタイルを使用する場合はfalseに設定してください。Sculptureスタイルは独自のPBRマップセットを生成します。（デフォルト: `False`） | -| `texture_prompt` | STRING | いいえ | - | テクスチャ処理をガイドするテキストプロンプトを指定します。最大600文字です。`texture_image`と同時に使用することはできません。（デフォルト: 空文字列） | -| `texture_image` | IMAGE | いいえ | - | `texture_image`と`texture_prompt`のうち、同時に使用できるのは1つだけです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 精細化に使用するAIモデルを指定します。現在は"latest"モデルのみ利用可能です。 | COMBO | はい | `"latest"` | +| `meshy_task_id` | 精細化したい下書きモデルの一意のタスクIDです。 | MESHY_TASK_ID | はい | - | +| `enable_pbr` | ベースカラーに加えてPBRマップ（メタリック、ラフネス、法線）を生成します。注意：Sculptureスタイルを使用する場合はfalseに設定してください。Sculptureスタイルは独自のPBRマップセットを生成します。（デフォルト: `False`） | BOOLEAN | いいえ | - | +| `texture_prompt` | テクスチャ処理をガイドするテキストプロンプトを指定します。最大600文字です。`texture_image`と同時に使用することはできません。（デフォルト: 空文字列） | STRING | いいえ | - | +| `texture_image` | `texture_image`と`texture_prompt`のうち、同時に使用できるのは1つだけです。 | IMAGE | いいえ | - | **注記:** `texture_prompt`と`texture_image`の入力は相互に排他的です。同じ操作でテクスチャ用のテキストプロンプトと画像の両方を指定することはできません。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `meshy_task_id` | STRING | 生成されたGLBモデルのファイル名です。（後方互換性のため） | -| `GLB` | MESHY_TASK_ID | 送信された精細化ジョブの一意のタスクIDです。 | -| `FBX` | FILE3DGLB | GLB形式の最終的な精細化された3Dモデルです。 | -| `FBX` | FILE3DFBX | FBX形式の最終的な精細化された3Dモデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `meshy_task_id` | 生成されたGLBモデルのファイル名です。（後方互換性のため） | STRING | +| `GLB` | 送信された精細化ジョブの一意のタスクIDです。 | MESHY_TASK_ID | +| `FBX` | GLB形式の最終的な精細化された3Dモデルです。 | FILE3DGLB | +| `FBX` | FBX形式の最終的な精細化された3Dモデルです。 | FILE3DFBX | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRefineNode/ja.md) --- **Source fingerprint (SHA-256):** `cdf620ead0a4504cbb5d5554e0fe40e4cadd08884726f147cd486e63ab37f278` diff --git a/ja/built-in-nodes/MeshyRigModelNode.mdx b/ja/built-in-nodes/MeshyRigModelNode.mdx index b42fa565a..14f299552 100644 --- a/ja/built-in-nodes/MeshyRigModelNode.mdx +++ b/ja/built-in-nodes/MeshyRigModelNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MeshyRigModelNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRigModelNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,22 +13,24 @@ Meshy: Rig Modelノードは、以前のMeshyタスクから3Dモデルを取得 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `meshy_task_id` | STRING | はい | なし | リギング対象のモデルを生成した、以前のMeshy操作（例：テキストから3D、または画像から3D）の一意のタスクIDです。 | -| `height_meters` | FLOAT | はい | 0.1 ～ 15.0 | キャラクターモデルのおおよその高さ（メートル単位）です。スケーリングとリギングの精度を高めるために使用されます（デフォルト：1.7）。 | -| `texture_image` | IMAGE | いいえ | なし | モデルのUV展開済みベースカラーテクスチャ画像です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `meshy_task_id` | リギング対象のモデルを生成した、以前のMeshy操作（例：テキストから3D、または画像から3D）の一意のタスクIDです。 | STRING | はい | なし | +| `height_meters` | キャラクターモデルのおおよその高さ（メートル単位）です。スケーリングとリギングの精度を高めるために使用されます（デフォルト：1.7）。 | FLOAT | はい | 0.1 ～ 15.0 | +| `texture_image` | モデルのUV展開済みベースカラーテクスチャ画像です。 | IMAGE | いいえ | なし | **注記：** 現在の自動リギング処理は、テクスチャのないメッシュ、人型以外のアセット、または手足や体の構造が不明瞭な人型アセットには適していません。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `rig_task_id` | STRING | 下位互換性のためのレガシー出力です。GLBモデルのファイル名を含みます。 | -| `GLB` | STRING | このリギング操作の一意のタスクIDです。結果を参照するために使用できます。 | -| `FBX` | FILE3DGLB | GLBファイル形式で保存された、リギング済み3Dキャラクターモデルです。 | -| `FBX` | FILE3DFBX | FBXファイル形式で保存された、リギング済み3Dキャラクターモデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `rig_task_id` | 下位互換性のためのレガシー出力です。GLBモデルのファイル名を含みます。 | STRING | +| `GLB` | このリギング操作の一意のタスクIDです。結果を参照するために使用できます。 | STRING | +| `FBX` | GLBファイル形式で保存された、リギング済み3Dキャラクターモデルです。 | FILE3DGLB | +| `FBX` | FBXファイル形式で保存された、リギング済み3Dキャラクターモデルです。 | FILE3DFBX | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRigModelNode/ja.md) --- **Source fingerprint (SHA-256):** `91e06e3465d3d309d2267ae307ec5a704af3903b7a6d7fb6011217dd58a63973` diff --git a/ja/built-in-nodes/MeshyTextToModelNode.mdx b/ja/built-in-nodes/MeshyTextToModelNode.mdx index 86c0cbd60..434ce8992 100644 --- a/ja/built-in-nodes/MeshyTextToModelNode.mdx +++ b/ja/built-in-nodes/MeshyTextToModelNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MeshyTextToModelNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextToModelNode/ja.md) - 以下は、ご指定の翻訳ルールに従って日本語に翻訳したドキュメントです。 --- @@ -15,28 +13,30 @@ Meshy: Text to Model ノードは、Meshy API を使用してテキスト記述 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"latest"` | 使用する AI モデルのバージョンを指定します。現在は "latest" バージョンのみ利用可能です。 | -| `prompt` | STRING | はい | - | 生成したい 3D モデルのテキスト記述です。1 文字以上 600 文字以下である必要があります。 | -| `style` | COMBO | はい | `"realistic"`
`"sculpture"` | 生成される 3D モデルのアートスタイルです。 | -| `should_remesh` | DYNAMIC COMBO | はい | `"true"`
`"false"` | 生成されたメッシュを処理するかどうかを制御します。"false" に設定すると、未処理の三角形メッシュが返されます。"true" を選択すると、トポロジーとポリゴン数に関する追加パラメータが表示されます。 | -| `topology` | COMBO | いいえ* | `"triangle"`
`"quad"` | リメッシュ後のモデルの目標ポリゴンタイプです。このパラメータは `should_remesh` が "true" に設定されている場合のみ利用可能かつ必須となります。 | -| `target_polycount` | INT | いいえ* | 100 - 300000 | リメッシュ後のモデルの目標ポリゴン数です。デフォルトは 300000 です。このパラメータは `should_remesh` が "true" に設定されている場合のみ利用可能かつ必須となります。 | -| `symmetry_mode` | COMBO | はい | `"auto"`
`"on"`
`"off"` | 生成されるモデルの対称性を制御します。 | -| `pose_mode` | COMBO | はい | `""`
`"A-pose"`
`"T-pose"` | 生成されるモデルのポーズモードを指定します。空文字列の場合は、特定のポーズは要求されません。 | -| `seed` | INT | はい | 0 - 2147483647 | 生成のためのシード値です。これを設定するとノードを再実行するかどうかが制御されますが、シード値に関わらず結果は非決定的です。デフォルトは 0 です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 使用する AI モデルのバージョンを指定します。現在は "latest" バージョンのみ利用可能です。 | COMBO | はい | `"latest"` | +| `prompt` | 生成したい 3D モデルのテキスト記述です。1 文字以上 600 文字以下である必要があります。 | STRING | はい | - | +| `style` | 生成される 3D モデルのアートスタイルです。 | COMBO | はい | `"realistic"`
`"sculpture"` | +| `should_remesh` | 生成されたメッシュを処理するかどうかを制御します。"false" に設定すると、未処理の三角形メッシュが返されます。"true" を選択すると、トポロジーとポリゴン数に関する追加パラメータが表示されます。 | DYNAMIC COMBO | はい | `"true"`
`"false"` | +| `topology` | リメッシュ後のモデルの目標ポリゴンタイプです。このパラメータは `should_remesh` が "true" に設定されている場合のみ利用可能かつ必須となります。 | COMBO | いいえ* | `"triangle"`
`"quad"` | +| `target_polycount` | リメッシュ後のモデルの目標ポリゴン数です。デフォルトは 300000 です。このパラメータは `should_remesh` が "true" に設定されている場合のみ利用可能かつ必須となります。 | INT | いいえ* | 100 - 300000 | +| `symmetry_mode` | 生成されるモデルの対称性を制御します。 | COMBO | はい | `"auto"`
`"on"`
`"off"` | +| `pose_mode` | 生成されるモデルのポーズモードを指定します。空文字列の場合は、特定のポーズは要求されません。 | COMBO | はい | `""`
`"A-pose"`
`"T-pose"` | +| `seed` | 生成のためのシード値です。これを設定するとノードを再実行するかどうかが制御されますが、シード値に関わらず結果は非決定的です。デフォルトは 0 です。 | INT | はい | 0 - 2147483647 | *注記：`topology` および `target_polycount` パラメータは条件付きで必須です。これらは `should_remesh` パラメータが "true" に設定されている場合にのみ表示され、設定する必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `meshy_task_id` | STRING | 生成された GLB モデルのファイル名です。この出力は後方互換性のために提供されています。 | -| `GLB` | MESHY_TASK_ID | Meshy API タスクの一意の識別子です。 | -| `FBX` | FILE3DGLB | GLB 形式で生成された 3D モデルファイルです。 | -| `FBX` | FILE3DFBX | FBX 形式で生成された 3D モデルファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `meshy_task_id` | 生成された GLB モデルのファイル名です。この出力は後方互換性のために提供されています。 | STRING | +| `GLB` | Meshy API タスクの一意の識別子です。 | MESHY_TASK_ID | +| `FBX` | GLB 形式で生成された 3D モデルファイルです。 | FILE3DGLB | +| `FBX` | FBX 形式で生成された 3D モデルファイルです。 | FILE3DFBX | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextToModelNode/ja.md) --- **Source fingerprint (SHA-256):** `122eee5488a89433bd1f3bf79ccd8e9c51fd23cc1dfb208c39a0628c2ad3d817` diff --git a/ja/built-in-nodes/MeshyTextureNode.mdx b/ja/built-in-nodes/MeshyTextureNode.mdx index 994d52898..6ae3beab5 100644 --- a/ja/built-in-nodes/MeshyTextureNode.mdx +++ b/ja/built-in-nodes/MeshyTextureNode.mdx @@ -5,22 +5,20 @@ sidebarTitle: "MeshyTextureNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextureNode/ja.md) - 以下が翻訳です。 **Meshy: テクスチャノード**は、AIが生成したテクスチャを3Dモデルに適用します。このノードは、以前のMeshy 3D生成または変換ノードからのタスクIDを受け取り、テキストによる説明または参照画像を使用して、モデルに新しいテクスチャを作成します。ノードは、テクスチャが適用されたモデルをGLBおよびFBXファイル形式で出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"latest"` | テクスチャリングに使用するAIモデルのバージョン。現在は"latest"バージョンのみ利用可能です。 | -| `meshy_task_id` | MESHY_TASK_ID | はい | - | 以前のMeshy 3D生成または変換タスクからの一意の識別子（タスクID）。テクスチャを適用するベースとなる3Dモデルを指定します。 | -| `元のUVを使用` | BOOLEAN | いいえ | - | 新しいUVを生成する代わりに、モデルの元のUVを使用します。有効（デフォルト: `True`）にすると、Meshyはアップロードされたモデルの既存のテクスチャを保持します。モデルに元のUVがない場合、出力の品質が低下する可能性があります。 | -| `PBR` | BOOLEAN | いいえ | - | テクスチャリングされたモデルに対して、物理ベースレンダリング（PBR）マテリアル出力を有効にします（デフォルト: `False`）。 | -| `テキストスタイルプロンプト` | STRING | いいえ | - | オブジェクトの希望するテクスチャスタイルをテキストで説明します。最大600文字。`イメージスタイル`と同時に使用することはできません。 | -| `イメージスタイル` | IMAGE | いいえ | - | テクスチャリングプロセスをガイドする2D画像。`テキストスタイルプロンプト`と同時に使用することはできません。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | テクスチャリングに使用するAIモデルのバージョン。現在は"latest"バージョンのみ利用可能です。 | COMBO | はい | `"latest"` | +| `meshy_task_id` | 以前のMeshy 3D生成または変換タスクからの一意の識別子（タスクID）。テクスチャを適用するベースとなる3Dモデルを指定します。 | MESHY_TASK_ID | はい | - | +| `元のUVを使用` | 新しいUVを生成する代わりに、モデルの元のUVを使用します。有効（デフォルト: `True`）にすると、Meshyはアップロードされたモデルの既存のテクスチャを保持します。モデルに元のUVがない場合、出力の品質が低下する可能性があります。 | BOOLEAN | いいえ | - | +| `PBR` | テクスチャリングされたモデルに対して、物理ベースレンダリング（PBR）マテリアル出力を有効にします（デフォルト: `False`）。 | BOOLEAN | いいえ | - | +| `テキストスタイルプロンプト` | オブジェクトの希望するテクスチャスタイルをテキストで説明します。最大600文字。`イメージスタイル`と同時に使用することはできません。 | STRING | いいえ | - | +| `イメージスタイル` | テクスチャリングプロセスをガイドする2D画像。`テキストスタイルプロンプト`と同時に使用することはできません。 | IMAGE | いいえ | - | **パラメータの制約:** @@ -29,12 +27,14 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `meshy_task_id` | STRING | 生成されたGLBモデルのファイル名。この出力は後方互換性のために提供されています。 | -| `GLB` | MODEL_TASK_ID | このテクスチャリングジョブの一意のタスク識別子。結果を参照するために使用できます。 | -| `FBX` | FILE3DGLB | GLBファイル形式で保存された、テクスチャが適用された3Dモデル。 | -| `FBX` | FILE3DFBX | FBXファイル形式で保存された、テクスチャが適用された3Dモデル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `meshy_task_id` | 生成されたGLBモデルのファイル名。この出力は後方互換性のために提供されています。 | STRING | +| `GLB` | このテクスチャリングジョブの一意のタスク識別子。結果を参照するために使用できます。 | MODEL_TASK_ID | +| `FBX` | GLBファイル形式で保存された、テクスチャが適用された3Dモデル。 | FILE3DGLB | +| `FBX` | FBXファイル形式で保存された、テクスチャが適用された3Dモデル。 | FILE3DFBX | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextureNode/ja.md) --- **Source fingerprint (SHA-256):** `380b682a8290c69e71a204c8c3d6c2d4fb2c15f4bc1679b98c7fc4fd9ec9e1b3` diff --git a/ja/built-in-nodes/MinimaxHailuoVideoNode.mdx b/ja/built-in-nodes/MinimaxHailuoVideoNode.mdx index e72bd78c1..9d0b394c4 100644 --- a/ja/built-in-nodes/MinimaxHailuoVideoNode.mdx +++ b/ja/built-in-nodes/MinimaxHailuoVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MinimaxHailuoVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/ja.md) - 以下は、ご依頼いただいた英語ドキュメントを日本語に翻訳したものです。 --- @@ -15,22 +13,24 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプトテキスト` | STRING | はい | - | 動画生成をガイドするテキストプロンプト。 | -| `シード` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト：0）。 | -| `最初のフレーム画像` | IMAGE | いいえ | - | 動画の最初のフレームとして使用するオプションの画像。 | -| `プロンプト最適化` | BOOLEAN | いいえ | - | 生成品質を向上させるためにプロンプトを最適化します（デフォルト：True）。 | -| `再生時間` | COMBO | いいえ | `6`
`10` | 出力動画の長さ（秒単位）（デフォルト：6）。 | -| `解像度` | COMBO | いいえ | `"768P"`
`"1080P"` | 動画表示の解像度。1080pは1920x1080、768pは1366x768です（デフォルト："768P"）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプトテキスト` | 動画生成をガイドするテキストプロンプト。 | STRING | はい | - | +| `シード` | ノイズ生成に使用されるランダムシード（デフォルト：0）。 | INT | いいえ | 0 ～ 18446744073709551615 | +| `最初のフレーム画像` | 動画の最初のフレームとして使用するオプションの画像。 | IMAGE | いいえ | - | +| `プロンプト最適化` | 生成品質を向上させるためにプロンプトを最適化します（デフォルト：True）。 | BOOLEAN | いいえ | - | +| `再生時間` | 出力動画の長さ（秒単位）（デフォルト：6）。 | COMBO | いいえ | `6`
`10` | +| `解像度` | 動画表示の解像度。1080pは1920x1080、768pは1366x768です（デフォルト："768P"）。 | COMBO | いいえ | `"768P"`
`"1080P"` | **注記：** MiniMax-Hailuo-02モデルを1080P解像度で使用する場合、動画の長さは6秒に制限されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `5466b9cda979a30158b818743de0e0cf30eb3e27015d431eb04a370029250a4c` diff --git a/ja/built-in-nodes/MinimaxImageToVideoNode.mdx b/ja/built-in-nodes/MinimaxImageToVideoNode.mdx index ef4d2508e..50e1a0188 100644 --- a/ja/built-in-nodes/MinimaxImageToVideoNode.mdx +++ b/ja/built-in-nodes/MinimaxImageToVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MinimaxImageToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,18 +12,20 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|-------------| -| `画像` | IMAGE | はい | - | 動画生成の最初のフレームとして使用する画像 | -| `プロンプトテキスト` | STRING | はい | - | 動画生成をガイドするテキストプロンプト（デフォルト：空文字列） | -| `モデル` | COMBO | はい | "I2V-01-Director"
"I2V-01"
"I2V-01-live" | 動画生成に使用するモデル（デフォルト："I2V-01"） | -| `シード` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 動画生成の最初のフレームとして使用する画像 | IMAGE | はい | - | +| `プロンプトテキスト` | 動画生成をガイドするテキストプロンプト（デフォルト：空文字列） | STRING | はい | - | +| `モデル` | 動画生成に使用するモデル（デフォルト："I2V-01"） | COMBO | はい | "I2V-01-Director"
"I2V-01"
"I2V-01-live" | +| `シード` | ノイズ生成に使用されるランダムシード（デフォルト：0） | INT | いいえ | 0 ～ 18446744073709551615 | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|-------------| -| `output` | VIDEO | 生成された動画出力 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画出力 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `9ad1659352e363361f09d6a7a0e24835056b20cc84532247251f516b0ac284e8` diff --git a/ja/built-in-nodes/MinimaxSubjectToVideoNode.mdx b/ja/built-in-nodes/MinimaxSubjectToVideoNode.mdx index e73c00e25..eea135412 100644 --- a/ja/built-in-nodes/MinimaxSubjectToVideoNode.mdx +++ b/ja/built-in-nodes/MinimaxSubjectToVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MinimaxSubjectToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/ja.md) - 以下が翻訳結果です。 --- @@ -17,18 +15,20 @@ mode: wide ## 入力入力 -| パラメータ名 | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `subject` | IMAGE | はい | - | 動画生成の参照用となる被写体画像 | -| `prompt_text` | STRING | はい | - | 動画生成をガイドするテキストプロンプト（デフォルト：空文字列） | -| `model` | COMBO | いいえ | "S2V-01" | 動画生成に使用するモデル（デフォルト："S2V-01"） | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト：0） | +| パラメータ名 | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `subject` | 動画生成の参照用となる被写体画像 | IMAGE | はい | - | +| `prompt_text` | 動画生成をガイドするテキストプロンプト（デフォルト：空文字列） | STRING | はい | - | +| `model` | 動画生成に使用するモデル（デフォルト："S2V-01"） | COMBO | いいえ | "S2V-01" | +| `seed` | ノイズ生成に使用されるランダムシード（デフォルト：0） | INT | いいえ | 0 ～ 18446744073709551615 | ## 出力出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 入力された被写体画像とプロンプトに基づいて生成された動画 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力された被写体画像とプロンプトに基づいて生成された動画 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `69651367e6c452ec1f3a4765b74a28cc6b579288f3319ed70fa7c16a1ced0dbc` diff --git a/ja/built-in-nodes/MinimaxTextToVideoNode.mdx b/ja/built-in-nodes/MinimaxTextToVideoNode.mdx index f64de017c..ef2c34d5e 100644 --- a/ja/built-in-nodes/MinimaxTextToVideoNode.mdx +++ b/ja/built-in-nodes/MinimaxTextToVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MinimaxTextToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/ja.md) - 以下が翻訳結果です。 --- @@ -15,17 +13,19 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプトテキスト` | STRING | はい | - | 動画生成をガイドするテキストプロンプト | -| `モデル` | COMBO | いいえ | "T2V-01"
"T2V-01-Director" | 動画生成に使用するモデル（デフォルト："T2V-01"） | -| `シード` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプトテキスト` | 動画生成をガイドするテキストプロンプト | STRING | はい | - | +| `モデル` | 動画生成に使用するモデル（デフォルト："T2V-01"） | COMBO | いいえ | "T2V-01"
"T2V-01-Director" | +| `シード` | ノイズ生成に使用されるランダムシード（デフォルト：0） | INT | いいえ | 0 ～ 18446744073709551615 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 入力プロンプトに基づいて生成された動画 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力プロンプトに基づいて生成された動画 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `bdbd8f9defc4c626f07b36c1ba9859155fa90a2d7ef9a491c30dac4d003d39be` diff --git a/ja/built-in-nodes/MoGeInference.mdx b/ja/built-in-nodes/MoGeInference.mdx index b7e8facbb..7bd55cf3e 100644 --- a/ja/built-in-nodes/MoGeInference.mdx +++ b/ja/built-in-nodes/MoGeInference.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MoGeInference" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,21 +13,23 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `moge_model` | MOGE_MODEL | はい | N/A | 推論に使用するMoGeモデル。 | -| `image` | IMAGE | はい | N/A | 深度とジオメトリ推定のための入力画像。 | -| `resolution_level` | INT | はい | 0 ～ 9 | 処理解像度を制御します。0が最も高速で、9が最も詳細な結果を提供します。（デフォルト：9） | -| `fov_x_degrees` | FLOAT | はい | 0.0 ～ 170.0 | ソースカメラの水平視野角（度単位）。深度マップを3Dに逆投影するために使用される焦点距離を設定します。0.0に設定すると、予測された点群から視野角を自動的に復元します。（デフォルト：0.0） | -| `batch_size` | INT | はい | 1 ～ 64 | 1回の推論呼び出しで処理される画像の枚数。長い動画や大量の画像セットを処理する際にメモリが不足する場合は、この値を小さくしてください。（デフォルト：4） | -| `force_projection` | BOOLEAN | はい | True/False | （上級者向け）予測された点群の投影を強制します。（デフォルト：True） | -| `apply_mask` | BOOLEAN | はい | True/False | 有効にすると、マスクされた（空または無効な）ピクセルを点群と深度出力において無限遠に設定します。これにより、メッシュ作成ツールがこれらの領域を無視できるようになります。無効にすると、生の予測ジオメトリがすべての領域で保持されます。マスクは別途返されます。（デフォルト：True） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `moge_model` | 推論に使用するMoGeモデル。 | MOGE_MODEL | はい | N/A | +| `image` | 深度とジオメトリ推定のための入力画像。 | IMAGE | はい | N/A | +| `resolution_level` | 処理解像度を制御します。0が最も高速で、9が最も詳細な結果を提供します。（デフォルト：9） | INT | はい | 0 ～ 9 | +| `fov_x_degrees` | ソースカメラの水平視野角（度単位）。深度マップを3Dに逆投影するために使用される焦点距離を設定します。0.0に設定すると、予測された点群から視野角を自動的に復元します。（デフォルト：0.0） | FLOAT | はい | 0.0 ～ 170.0 | +| `batch_size` | 1回の推論呼び出しで処理される画像の枚数。長い動画や大量の画像セットを処理する際にメモリが不足する場合は、この値を小さくしてください。（デフォルト：4） | INT | はい | 1 ～ 64 | +| `force_projection` | （上級者向け）予測された点群の投影を強制します。（デフォルト：True） | BOOLEAN | はい | True/False | +| `apply_mask` | 有効にすると、マスクされた（空または無効な）ピクセルを点群と深度出力において無限遠に設定します。これにより、メッシュ作成ツールがこれらの領域を無視できるようになります。無効にすると、生の予測ジオメトリがすべての領域で保持されます。マスクは別途返されます。（デフォルト：True） | BOOLEAN | はい | True/False | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `moge_geometry` | MOGE_GEOMETRY | 推定されたジオメトリを含む辞書。元の`image`を含み、`points`（3D点群）、`depth`（深度マップ）、`intrinsics`（カメラ内部パラメータ行列）、`mask`（有効なピクセルを識別するマスク）、`normal`（表面法線）を含む場合があります。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `moge_geometry` | 推定されたジオメトリを含む辞書。元の`image`を含み、`points`（3D点群）、`depth`（深度マップ）、`intrinsics`（カメラ内部パラメータ行列）、`mask`（有効なピクセルを識別するマスク）、`normal`（表面法線）を含む場合があります。 | MOGE_GEOMETRY | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/ja.md) --- **Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79` diff --git a/ja/built-in-nodes/MoGePanoramaInference.mdx b/ja/built-in-nodes/MoGePanoramaInference.mdx index fa37ca576..5a99bf037 100644 --- a/ja/built-in-nodes/MoGePanoramaInference.mdx +++ b/ja/built-in-nodes/MoGePanoramaInference.mdx @@ -5,28 +5,28 @@ sidebarTitle: "MoGePanoramaInference" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/ja.md) - ## 概要 このノードは、正距円筒図法のパノラマ画像に対して深度推定を実行します。パノラマを12の透視図に分割し、各ビューに対してMoGe深度推定モデルを実行した後、結果を元のパノラマの単一かつ完全な深度マップに統合することで動作します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `moge_model` | MOGE_MODEL | はい | | 推論に使用するMoGeモデル。 | -| `image` | IMAGE | はい | | 正距円筒図法のパノラマ画像（任意のアスペクト比）。 | -| `resolution_level` | INT | はい | 0～9 | ビューごとの詳細レベル。値が大きいほど詳細な深度マップが生成されます（デフォルト：9）。 | -| `split_resolution` | INT | はい | 256～1024 | パノラマ分割後の各透視図の解像度（デフォルト：512）。 | -| `merge_resolution` | INT | はい | 256～8192 | 最終的に統合された正距円筒図法の深度マップの長辺解像度（デフォルト：1920）。 | -| `batch_size` | INT | はい | 1～12 | 各推論バッチで処理する透視図の数。総ビュー数は12です（デフォルト：4）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `moge_model` | 推論に使用するMoGeモデル。 | MOGE_MODEL | はい | | +| `image` | 正距円筒図法のパノラマ画像（任意のアスペクト比）。 | IMAGE | はい | | +| `resolution_level` | ビューごとの詳細レベル。値が大きいほど詳細な深度マップが生成されます（デフォルト：9）。 | INT | はい | 0～9 | +| `split_resolution` | パノラマ分割後の各透視図の解像度（デフォルト：512）。 | INT | はい | 256～1024 | +| `merge_resolution` | 最終的に統合された正距円筒図法の深度マップの長辺解像度（デフォルト：1920）。 | INT | はい | 256～8192 | +| `batch_size` | 各推論バッチで処理する透視図の数。総ビュー数は12です（デフォルト：4）。 | INT | はい | 1～12 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `moge_geometry` | MOGE_GEOMETRY | 推定されたジオメトリを含む辞書：`points`（3D点群）、`depth`（深度マップ）、`mask`（有効領域マスク）、`image`（入力画像）。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `moge_geometry` | 推定されたジオメトリを含む辞書：`points`（3D点群）、`depth`（深度マップ）、`mask`（有効領域マスク）、`image`（入力画像）。 | MOGE_GEOMETRY | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/ja.md) --- **Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b` diff --git a/ja/built-in-nodes/MoGePointMapToMesh.mdx b/ja/built-in-nodes/MoGePointMapToMesh.mdx index e4806f63d..7d40430be 100644 --- a/ja/built-in-nodes/MoGePointMapToMesh.mdx +++ b/ja/built-in-nodes/MoGePointMapToMesh.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MoGePointMapToMesh" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,19 +13,21 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `moge_geometry` | MOGE_GEOMETRY | はい | N/A | ポイントマップ、深度、およびオプションで元画像を含む MoGe ジオメトリデータ。 | -| `batch_index` | INT | はい | 0 から 4096 | バッチ処理された MoGe ジオメトリのうち、メッシュ化する画像を指定します。画像ごとに頂点数が異なるため、バッチを単一の MESH に積み重ねることはできません（デフォルト: 0）。 | -| `decimation` | INT | はい | 1 から 8 | 頂点の間引き率。1 はフル解像度（デフォルト: 1）。 | -| `discontinuity_threshold` | FLOAT | はい | 0.0 から 1.0 | 3x3 の深度範囲がこの割合を超えるピクセルを除外します。0 は無効（デフォルト: 0.04）。 | -| `texture` | BOOLEAN | はい | True/False | 元画像をベースカラーテクスチャとして保持するかどうか（デフォルト: True）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `moge_geometry` | ポイントマップ、深度、およびオプションで元画像を含む MoGe ジオメトリデータ。 | MOGE_GEOMETRY | はい | N/A | +| `batch_index` | バッチ処理された MoGe ジオメトリのうち、メッシュ化する画像を指定します。画像ごとに頂点数が異なるため、バッチを単一の MESH に積み重ねることはできません（デフォルト: 0）。 | INT | はい | 0 から 4096 | +| `decimation` | 頂点の間引き率。1 はフル解像度（デフォルト: 1）。 | INT | はい | 1 から 8 | +| `discontinuity_threshold` | 3x3 の深度範囲がこの割合を超えるピクセルを除外します。0 は無効（デフォルト: 0.04）。 | FLOAT | はい | 0.0 から 1.0 | +| `texture` | 元画像をベースカラーテクスチャとして保持するかどうか（デフォルト: True）。 | BOOLEAN | はい | True/False | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MESH` | MESH | 頂点、面、UV 座標、および元画像からのオプションのテクスチャを持つ 3D メッシュ。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MESH` | 頂点、面、UV 座標、および元画像からのオプションのテクスチャを持つ 3D メッシュ。 | MESH | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/ja.md) --- **Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f` diff --git a/ja/built-in-nodes/MoGeRender.mdx b/ja/built-in-nodes/MoGeRender.mdx index 52054f5cf..96a428699 100644 --- a/ja/built-in-nodes/MoGeRender.mdx +++ b/ja/built-in-nodes/MoGeRender.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MoGeRender" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,16 +13,18 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `moge_geometry` | MOGE_GEOMETRY | はい | なし | MoGe推定ノードからのジオメトリデータパケット。 | -| `output` | COMBO | はい | `"depth"`
`"depth_colored"`
`"normal_opengl"`
`"normal_directx"`
`"mask"` | ジオメトリデータからレンダリングする画像の種類。DirectXとOpenGLは法線マップの緑チャンネルの規則を制御します。DirectX：緑 = -Y下向き（Unreal）。OpenGL：緑 = +Y上向き（Blender、Substance、Unity、glTF）。（デフォルト："depth"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `moge_geometry` | MoGe推定ノードからのジオメトリデータパケット。 | MOGE_GEOMETRY | はい | なし | +| `output` | ジオメトリデータからレンダリングする画像の種類。DirectXとOpenGLは法線マップの緑チャンネルの規則を制御します。DirectX：緑 = -Y下向き（Unreal）。OpenGL：緑 = +Y上向き（Blender、Substance、Unity、glTF）。（デフォルト："depth"） | COMBO | はい | `"depth"`
`"depth_colored"`
`"normal_opengl"`
`"normal_directx"`
`"mask"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | RGBテンソルのバッチとしてレンダリングされた画像。内容は `output` モードに依存します：グレースケール深度マップ、カラー深度マップ、法線マップ、またはマスク。 +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | RGBテンソルのバッチとしてレンダリングされた画像。内容は `output` モードに依存します：グレースケール深度マップ、カラー深度マップ、法線マップ、またはマスク。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/ja.md) --- **Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe` diff --git a/ja/built-in-nodes/ModelComputeDtype.mdx b/ja/built-in-nodes/ModelComputeDtype.mdx index 8fbd0aef1..027c320f3 100644 --- a/ja/built-in-nodes/ModelComputeDtype.mdx +++ b/ja/built-in-nodes/ModelComputeDtype.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ModelComputeDtype" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelComputeDtype/ja.md) - ModelComputeDtypeノードは、モデルの処理中に使用される計算データ型（精度）を変更します。入力モデルのコピーを作成し、選択された精度設定を適用します。これにより、ハードウェアに応じてメモリ使用量とパフォーマンスを最適化できます。異なる精度設定のデバッグやテストに役立ちます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | 新しい計算データ型を適用する対象の入力モデル | -| `dtype` | STRING | はい | "default"
"fp32"
"fp16"
"bf16" | モデルに適用する計算データ型（デフォルト: "default"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 新しい計算データ型を適用する対象の入力モデル | MODEL | はい | - | +| `dtype` | モデルに適用する計算データ型（デフォルト: "default"） | STRING | はい | "default"
"fp32"
"fp16"
"bf16" | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 新しい計算データ型が適用された変更後のモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 新しい計算データ型が適用された変更後のモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelComputeDtype/ja.md) --- **Source fingerprint (SHA-256):** `bc65f1e452d0122ad175a8b95f38a36503253c9908157037c516496e65c828e6` diff --git a/ja/built-in-nodes/ModelMergeAdd.mdx b/ja/built-in-nodes/ModelMergeAdd.mdx index 07f59695b..b4c62ce61 100644 --- a/ja/built-in-nodes/ModelMergeAdd.mdx +++ b/ja/built-in-nodes/ModelMergeAdd.mdx @@ -5,19 +5,19 @@ sidebarTitle: "ModelMergeAdd" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAdd/ja.md) - ModelMergeAddノードは、一方のモデルからキーパッチを他方のモデルに追加することで、2つのモデルをマージするために設計されています。このプロセスでは、最初のモデルをクローンし、次に2番目のモデルからパッチを適用することで、両方のモデルの特徴や動作を組み合わせることができます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `モデル1` | `MODEL` | クローンされ、2番目のモデルからのパッチが追加される最初のモデルです。マージ処理のベースモデルとして機能します。 | -| `モデル2` | `MODEL` | キーパッチが抽出され、最初のモデルに追加される2番目のモデルです。マージされたモデルに追加の特徴や動作を提供します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `モデル1` | クローンされ、2番目のモデルからのパッチが追加される最初のモデルです。マージ処理のベースモデルとして機能します。 | `MODEL` | +| `モデル2` | キーパッチが抽出され、最初のモデルに追加される2番目のモデルです。マージされたモデルに追加の特徴や動作を提供します。 | `MODEL` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `model` | MODEL | 2番目のモデルから最初のモデルにキーパッチを追加することで、2つのモデルをマージした結果です。このマージされたモデルは、両方のモデルの特徴や動作を組み合わせたものになります。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `model` | 2番目のモデルから最初のモデルにキーパッチを追加することで、2つのモデルをマージした結果です。このマージされたモデルは、両方のモデルの特徴や動作を組み合わせたものになります。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAdd/ja.md) diff --git a/ja/built-in-nodes/ModelMergeAuraflow.mdx b/ja/built-in-nodes/ModelMergeAuraflow.mdx index 22bfbc311..1c3cc64c4 100644 --- a/ja/built-in-nodes/ModelMergeAuraflow.mdx +++ b/ja/built-in-nodes/ModelMergeAuraflow.mdx @@ -5,65 +5,65 @@ sidebarTitle: "ModelMergeAuraflow" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAuraflow/ja.md) - ModelMergeAuraflow ノードを使用すると、2つの異なるモデルを、様々なモデルコンポーネントに対する特定のブレンドウェイトを調整してブレンドできます。このノードは、初期層から最終出力に至るまで、モデルの異なる部分をどのようにマージするかを細かく制御できます。特に、マージプロセスを精密に制御しながら、カスタムモデルの組み合わせを作成する場合に役立ちます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル1` | MODEL | はい | - | マージされる最初のモデル | -| `モデル2` | MODEL | はい | - | マージされる2番目のモデル | -| `init_x_linear.` | FLOAT | はい | 0.0 - 1.0 | 初期線形変換のブレンドウェイト（デフォルト：1.0） | -| `位置エンコーディング` | FLOAT | はい | 0.0 - 1.0 | 位置エンコーディングコンポーネントのブレンドウェイト（デフォルト：1.0） | -| `cond_seq_linear.` | FLOAT | はい | 0.0 - 1.0 | 条件付きシーケンス線形層のブレンドウェイト（デフォルト：1.0） | -| `トークンを登録` | FLOAT | はい | 0.0 - 1.0 | トークン登録コンポーネントのブレンドウェイト（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込みコンポーネントのブレンドウェイト（デフォルト：1.0） | -| `double_layers.0.` | FLOAT | はい | 0.0 - 1.0 | ダブルレイヤーグループ0のブレンドウェイト（デフォルト：1.0） | -| `double_layers.1.` | FLOAT | はい | 0.0 - 1.0 | ダブルレイヤーグループ1のブレンドウェイト（デフォルト：1.0） | -| `double_layers.2.` | FLOAT | はい | 0.0 - 1.0 | ダブルレイヤーグループ2のブレンドウェイト（デフォルト：1.0） | -| `double_layers.3.` | FLOAT | はい | 0.0 - 1.0 | ダブルレイヤーグループ3のブレンドウェイト（デフォルト：1.0） | -| `single_layers.0.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー0のブレンドウェイト（デフォルト：1.0） | -| `single_layers.1.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー1のブレンドウェイト（デフォルト：1.0） | -| `single_layers.2.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー2のブレンドウェイト（デフォルト：1.0） | -| `single_layers.3.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー3のブレンドウェイト（デフォルト：1.0） | -| `single_layers.4.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー4のブレンドウェイト（デフォルト：1.0） | -| `single_layers.5.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー5のブレンドウェイト（デフォルト：1.0） | -| `single_layers.6.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー6のブレンドウェイト（デフォルト：1.0） | -| `single_layers.7.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー7のブレンドウェイト（デフォルト：1.0） | -| `single_layers.8.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー8のブレンドウェイト（デフォルト：1.0） | -| `single_layers.9.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー9のブレンドウェイト（デフォルト：1.0） | -| `single_layers.10.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー10のブレンドウェイト（デフォルト：1.0） | -| `single_layers.11.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー11のブレンドウェイト（デフォルト：1.0） | -| `single_layers.12.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー12のブレンドウェイト（デフォルト：1.0） | -| `single_layers.13.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー13のブレンドウェイト（デフォルト：1.0） | -| `single_layers.14.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー14のブレンドウェイト（デフォルト：1.0） | -| `single_layers.15.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー15のブレンドウェイト（デフォルト：1.0） | -| `single_layers.16.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー16のブレンドウェイト（デフォルト：1.0） | -| `single_layers.17.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー17のブレンドウェイト（デフォルト：1.0） | -| `single_layers.18.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー18のブレンドウェイト（デフォルト：1.0） | -| `single_layers.19.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー19のブレンドウェイト（デフォルト：1.0） | -| `single_layers.20.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー20のブレンドウェイト（デフォルト：1.0） | -| `single_layers.21.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー21のブレンドウェイト（デフォルト：1.0） | -| `single_layers.22.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー22のブレンドウェイト（デフォルト：1.0） | -| `single_layers.23.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー23のブレンドウェイト（デフォルト：1.0） | -| `single_layers.24.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー24のブレンドウェイト（デフォルト：1.0） | -| `single_layers.25.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー25のブレンドウェイト（デフォルト：1.0） | -| `single_layers.26.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー26のブレンドウェイト（デフォルト：1.0） | -| `single_layers.27.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー27のブレンドウェイト（デフォルト：1.0） | -| `single_layers.28.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー28のブレンドウェイト（デフォルト：1.0） | -| `single_layers.29.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー29のブレンドウェイト（デフォルト：1.0） | -| `single_layers.30.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー30のブレンドウェイト（デフォルト：1.0） | -| `single_layers.31.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー31のブレンドウェイト（デフォルト：1.0） | -| `modF.` | FLOAT | はい | 0.0 - 1.0 | modFコンポーネントのブレンドウェイト（デフォルト：1.0） | -| `final_linear.` | FLOAT | はい | 0.0 - 1.0 | 最終線形変換のブレンドウェイト（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル1` | マージされる最初のモデル | MODEL | はい | - | +| `モデル2` | マージされる2番目のモデル | MODEL | はい | - | +| `init_x_linear.` | 初期線形変換のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `位置エンコーディング` | 位置エンコーディングコンポーネントのブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `cond_seq_linear.` | 条件付きシーケンス線形層のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `トークンを登録` | トークン登録コンポーネントのブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `t_embedder.` | 時間埋め込みコンポーネントのブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `double_layers.0.` | ダブルレイヤーグループ0のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `double_layers.1.` | ダブルレイヤーグループ1のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `double_layers.2.` | ダブルレイヤーグループ2のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `double_layers.3.` | ダブルレイヤーグループ3のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.0.` | シングルレイヤー0のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.1.` | シングルレイヤー1のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.2.` | シングルレイヤー2のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.3.` | シングルレイヤー3のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.4.` | シングルレイヤー4のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.5.` | シングルレイヤー5のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.6.` | シングルレイヤー6のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.7.` | シングルレイヤー7のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.8.` | シングルレイヤー8のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.9.` | シングルレイヤー9のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.10.` | シングルレイヤー10のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.11.` | シングルレイヤー11のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.12.` | シングルレイヤー12のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.13.` | シングルレイヤー13のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.14.` | シングルレイヤー14のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.15.` | シングルレイヤー15のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.16.` | シングルレイヤー16のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.17.` | シングルレイヤー17のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.18.` | シングルレイヤー18のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.19.` | シングルレイヤー19のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.20.` | シングルレイヤー20のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.21.` | シングルレイヤー21のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.22.` | シングルレイヤー22のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.23.` | シングルレイヤー23のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.24.` | シングルレイヤー24のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.25.` | シングルレイヤー25のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.26.` | シングルレイヤー26のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.27.` | シングルレイヤー27のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.28.` | シングルレイヤー28のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.29.` | シングルレイヤー29のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.30.` | シングルレイヤー30のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `single_layers.31.` | シングルレイヤー31のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `modF.` | modFコンポーネントのブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `final_linear.` | 最終線形変換のブレンドウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 指定されたブレンドウェイトに従って、2つの入力モデルの特徴を組み合わせたマージ済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 指定されたブレンドウェイトに従って、2つの入力モデルの特徴を組み合わせたマージ済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAuraflow/ja.md) --- **Source fingerprint (SHA-256):** `c4959321bba252eb24c945343198d72f50d6021d4dac9945f94e3eb28f1bc3c9` diff --git a/ja/built-in-nodes/ModelMergeBlocks.mdx b/ja/built-in-nodes/ModelMergeBlocks.mdx index a09258a28..432a9ff86 100644 --- a/ja/built-in-nodes/ModelMergeBlocks.mdx +++ b/ja/built-in-nodes/ModelMergeBlocks.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ModelMergeBlocks" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeBlocks/ja.md) - ModelMergeBlocksは高度なモデルマージ操作のために設計されており、2つのモデルを統合し、モデルの各部分に対してカスタマイズ可能なブレンド比率を設定できます。このノードは、指定されたパラメータに基づいて2つのソースモデルからコンポーネントを選択的にマージすることで、ハイブリッドモデルの作成を容易にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `モデル1` | `MODEL` | マージされる最初のモデルです。2番目のモデルからのパッチが適用されるベースモデルとして機能します。 | -| `モデル2` | `MODEL` | パッチが抽出され、指定されたブレンド比率に基づいて最初のモデルに適用される2番目のモデルです。 | -| `入力` | `FLOAT` | モデルの入力層に対するブレンド比率を指定します。2番目のモデルの入力層が最初のモデルにどの程度マージされるかを決定します。 | -| `中間` | `FLOAT` | モデルの中間層に対するブレンド比率を定義します。このパラメータは、モデルの中間層の統合レベルを制御します。 | -| `出力` | `FLOAT` | モデルの出力層に対するブレンド比率を決定します。2番目のモデルの出力層の寄与度を調整することで、最終的な出力に影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `モデル1` | マージされる最初のモデルです。2番目のモデルからのパッチが適用されるベースモデルとして機能します。 | `MODEL` | +| `モデル2` | パッチが抽出され、指定されたブレンド比率に基づいて最初のモデルに適用される2番目のモデルです。 | `MODEL` | +| `入力` | モデルの入力層に対するブレンド比率を指定します。2番目のモデルの入力層が最初のモデルにどの程度マージされるかを決定します。 | `FLOAT` | +| `中間` | モデルの中間層に対するブレンド比率を定義します。このパラメータは、モデルの中間層の統合レベルを制御します。 | `FLOAT` | +| `出力` | モデルの出力層に対するブレンド比率を決定します。2番目のモデルの出力層の寄与度を調整することで、最終的な出力に影響を与えます。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `model` | MODEL | 結果として得られるマージ済みモデルです。指定されたブレンド比率に従ってパッチが適用された、2つの入力モデルのハイブリッドです。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `model` | 結果として得られるマージ済みモデルです。指定されたブレンド比率に従ってパッチが適用された、2つの入力モデルのハイブリッドです。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeBlocks/ja.md) diff --git a/ja/built-in-nodes/ModelMergeCosmos14B.mdx b/ja/built-in-nodes/ModelMergeCosmos14B.mdx index 3f5abc55f..8ef805562 100644 --- a/ja/built-in-nodes/ModelMergeCosmos14B.mdx +++ b/ja/built-in-nodes/ModelMergeCosmos14B.mdx @@ -5,64 +5,64 @@ sidebarTitle: "ModelMergeCosmos14B" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos14B/ja.md) - **ModelMergeCosmos14B** ノードは、Cosmos 14B モデルアーキテクチャ専用に設計されたブロックベースのアプローチを使用して、2つのAIモデルをマージします。各モデルブロックと埋め込みレイヤーの重み値を0.0から1.0の間で調整することで、モデルの異なるコンポーネントをブレンドできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル1` | MODEL | はい | - | マージする1つ目のモデル | -| `モデル2` | MODEL | はい | - | マージする2つ目のモデル | -| `pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 位置埋め込みコンポーネントの重み（デフォルト：1.0） | -| `extra_pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 追加位置埋め込みコンポーネントの重み（デフォルト：1.0） | -| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | x埋め込みコンポーネントの重み（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | t埋め込みコンポーネントの重み（デフォルト：1.0） | -| `affline_norm.` | FLOAT | はい | 0.0 - 1.0 | アフィン正規化コンポーネントの重み（デフォルト：1.0） | -| `blocks.block0.` | FLOAT | はい | 0.0 - 1.0 | ブロック0の重み（デフォルト：1.0） | -| `blocks.block1.` | FLOAT | はい | 0.0 - 1.0 | ブロック1の重み（デフォルト：1.0） | -| `blocks.block2.` | FLOAT | はい | 0.0 - 1.0 | ブロック2の重み（デフォルト：1.0） | -| `blocks.block3.` | FLOAT | はい | 0.0 - 1.0 | ブロック3の重み（デフォルト：1.0） | -| `blocks.block4.` | FLOAT | はい | 0.0 - 1.0 | ブロック4の重み（デフォルト：1.0） | -| `blocks.block5.` | FLOAT | はい | 0.0 - 1.0 | ブロック5の重み（デフォルト：1.0） | -| `blocks.block6.` | FLOAT | はい | 0.0 - 1.0 | ブロック6の重み（デフォルト：1.0） | -| `blocks.block7.` | FLOAT | はい | 0.0 - 1.0 | ブロック7の重み（デフォルト：1.0） | -| `blocks.block8.` | FLOAT | はい | 0.0 - 1.0 | ブロック8の重み（デフォルト：1.0） | -| `blocks.block9.` | FLOAT | はい | 0.0 - 1.0 | ブロック9の重み（デフォルト：1.0） | -| `blocks.block10.` | FLOAT | はい | 0.0 - 1.0 | ブロック10の重み（デフォルト：1.0） | -| `blocks.block11.` | FLOAT | はい | 0.0 - 1.0 | ブロック11の重み（デフォルト：1.0） | -| `blocks.block12.` | FLOAT | はい | 0.0 - 1.0 | ブロック12の重み（デフォルト：1.0） | -| `blocks.block13.` | FLOAT | はい | 0.0 - 1.0 | ブロック13の重み（デフォルト：1.0） | -| `blocks.block14.` | FLOAT | はい | 0.0 - 1.0 | ブロック14の重み（デフォルト：1.0） | -| `blocks.block15.` | FLOAT | はい | 0.0 - 1.0 | ブロック15の重み（デフォルト：1.0） | -| `blocks.block16.` | FLOAT | はい | 0.0 - 1.0 | ブロック16の重み（デフォルト：1.0） | -| `blocks.block17.` | FLOAT | はい | 0.0 - 1.0 | ブロック17の重み（デフォルト：1.0） | -| `blocks.block18.` | FLOAT | はい | 0.0 - 1.0 | ブロック18の重み（デフォルト：1.0） | -| `blocks.block19.` | FLOAT | はい | 0.0 - 1.0 | ブロック19の重み（デフォルト：1.0） | -| `blocks.block20.` | FLOAT | はい | 0.0 - 1.0 | ブロック20の重み（デフォルト：1.0） | -| `blocks.block21.` | FLOAT | はい | 0.0 - 1.0 | ブロック21の重み（デフォルト：1.0） | -| `blocks.block22.` | FLOAT | はい | 0.0 - 1.0 | ブロック22の重み（デフォルト：1.0） | -| `blocks.block23.` | FLOAT | はい | 0.0 - 1.0 | ブロック23の重み（デフォルト：1.0） | -| `blocks.block24.` | FLOAT | はい | 0.0 - 1.0 | ブロック24の重み（デフォルト：1.0） | -| `blocks.block25.` | FLOAT | はい | 0.0 - 1.0 | ブロック25の重み（デフォルト：1.0） | -| `blocks.block26.` | FLOAT | はい | 0.0 - 1.0 | ブロック26の重み（デフォルト：1.0） | -| `blocks.block27.` | FLOAT | はい | 0.0 - 1.0 | ブロック27の重み（デフォルト：1.0） | -| `blocks.block28.` | FLOAT | はい | 0.0 - 1.0 | ブロック28の重み（デフォルト：1.0） | -| `blocks.block29.` | FLOAT | はい | 0.0 - 1.0 | ブロック29の重み（デフォルト：1.0） | -| `blocks.block30.` | FLOAT | はい | 0.0 - 1.0 | ブロック30の重み（デフォルト：1.0） | -| `blocks.block31.` | FLOAT | はい | 0.0 - 1.0 | ブロック31の重み（デフォルト：1.0） | -| `blocks.block32.` | FLOAT | はい | 0.0 - 1.0 | ブロック32の重み（デフォルト：1.0） | -| `blocks.block33.` | FLOAT | はい | 0.0 - 1.0 | ブロック33の重み（デフォルト：1.0） | -| `blocks.block34.` | FLOAT | はい | 0.0 - 1.0 | ブロック34の重み（デフォルト：1.0） | -| `blocks.block35.` | FLOAT | はい | 0.0 - 1.0 | ブロック35の重み（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終レイヤーの重み（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル1` | マージする1つ目のモデル | MODEL | はい | - | +| `モデル2` | マージする2つ目のモデル | MODEL | はい | - | +| `pos_embedder.` | 位置埋め込みコンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `extra_pos_embedder.` | 追加位置埋め込みコンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `x_embedder.` | x埋め込みコンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `t_embedder.` | t埋め込みコンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `affline_norm.` | アフィン正規化コンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block0.` | ブロック0の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block1.` | ブロック1の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block2.` | ブロック2の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block3.` | ブロック3の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block4.` | ブロック4の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block5.` | ブロック5の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block6.` | ブロック6の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block7.` | ブロック7の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block8.` | ブロック8の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block9.` | ブロック9の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block10.` | ブロック10の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block11.` | ブロック11の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block12.` | ブロック12の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block13.` | ブロック13の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block14.` | ブロック14の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block15.` | ブロック15の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block16.` | ブロック16の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block17.` | ブロック17の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block18.` | ブロック18の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block19.` | ブロック19の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block20.` | ブロック20の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block21.` | ブロック21の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block22.` | ブロック22の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block23.` | ブロック23の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block24.` | ブロック24の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block25.` | ブロック25の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block26.` | ブロック26の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block27.` | ブロック27の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block28.` | ブロック28の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block29.` | ブロック29の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block30.` | ブロック30の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block31.` | ブロック31の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block32.` | ブロック32の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block33.` | ブロック33の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block34.` | ブロック34の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block35.` | ブロック35の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `final_layer.` | 最終レイヤーの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 両方の入力モデルの特徴を組み合わせたマージ済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 両方の入力モデルの特徴を組み合わせたマージ済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos14B/ja.md) --- **Source fingerprint (SHA-256):** `6fcb4fefe7738d0addef49d386c0d3d22cda4c68f0e49ad003d1df595cf0e9d9` diff --git a/ja/built-in-nodes/ModelMergeCosmos7B.mdx b/ja/built-in-nodes/ModelMergeCosmos7B.mdx index 6b6a74dc1..461565a44 100644 --- a/ja/built-in-nodes/ModelMergeCosmos7B.mdx +++ b/ja/built-in-nodes/ModelMergeCosmos7B.mdx @@ -5,56 +5,56 @@ sidebarTitle: "ModelMergeCosmos7B" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos7B/ja.md) - ModelMergeCosmos7B ノードは、特定のコンポーネントに重み付けブレンドを適用して、2つのAIモデルをマージします。位置埋め込み、トランスフォーマーブロック、最終層の個別の重みを調整することで、モデルの異なる部分をどのように組み合わせるかを細かく制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル1` | MODEL | はい | - | マージする1つ目のモデル | -| `モデル2` | MODEL | はい | - | マージする2つ目のモデル | -| `pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 位置埋め込みコンポーネントの重み（デフォルト：1.0） | -| `extra_pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 追加位置埋め込みコンポーネントの重み（デフォルト：1.0） | -| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | x埋め込みコンポーネントの重み（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | t埋め込みコンポーネントの重み（デフォルト：1.0） | -| `affline_norm.` | FLOAT | はい | 0.0 - 1.0 | アフィン正規化コンポーネントの重み（デフォルト：1.0） | -| `blocks.block0.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック0の重み（デフォルト：1.0） | -| `blocks.block1.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック1の重み（デフォルト：1.0） | -| `blocks.block2.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック2の重み（デフォルト：1.0） | -| `blocks.block3.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック3の重み（デフォルト：1.0） | -| `blocks.block4.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック4の重み（デフォルト：1.0） | -| `blocks.block5.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック5の重み（デフォルト：1.0） | -| `blocks.block6.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック6の重み（デフォルト：1.0） | -| `blocks.block7.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック7の重み（デフォルト：1.0） | -| `blocks.block8.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック8の重み（デフォルト：1.0） | -| `blocks.block9.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック9の重み（デフォルト：1.0） | -| `blocks.block10.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック10の重み（デフォルト：1.0） | -| `blocks.block11.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック11の重み（デフォルト：1.0） | -| `blocks.block12.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック12の重み（デフォルト：1.0） | -| `blocks.block13.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック13の重み（デフォルト：1.0） | -| `blocks.block14.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック14の重み（デフォルト：1.0） | -| `blocks.block15.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック15の重み（デフォルト：1.0） | -| `blocks.block16.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック16の重み（デフォルト：1.0） | -| `blocks.block17.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック17の重み（デフォルト：1.0） | -| `blocks.block18.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック18の重み（デフォルト：1.0） | -| `blocks.block19.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック19の重み（デフォルト：1.0） | -| `blocks.block20.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック20の重み（デフォルト：1.0） | -| `blocks.block21.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック21の重み（デフォルト：1.0） | -| `blocks.block22.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック22の重み（デフォルト：1.0） | -| `blocks.block23.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック23の重み（デフォルト：1.0） | -| `blocks.block24.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック24の重み（デフォルト：1.0） | -| `blocks.block25.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック25の重み（デフォルト：1.0） | -| `blocks.block26.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック26の重み（デフォルト：1.0） | -| `blocks.block27.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック27の重み（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終層コンポーネントの重み（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル1` | マージする1つ目のモデル | MODEL | はい | - | +| `モデル2` | マージする2つ目のモデル | MODEL | はい | - | +| `pos_embedder.` | 位置埋め込みコンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `extra_pos_embedder.` | 追加位置埋め込みコンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `x_embedder.` | x埋め込みコンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `t_embedder.` | t埋め込みコンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `affline_norm.` | アフィン正規化コンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block0.` | トランスフォーマーブロック0の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block1.` | トランスフォーマーブロック1の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block2.` | トランスフォーマーブロック2の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block3.` | トランスフォーマーブロック3の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block4.` | トランスフォーマーブロック4の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block5.` | トランスフォーマーブロック5の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block6.` | トランスフォーマーブロック6の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block7.` | トランスフォーマーブロック7の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block8.` | トランスフォーマーブロック8の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block9.` | トランスフォーマーブロック9の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block10.` | トランスフォーマーブロック10の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block11.` | トランスフォーマーブロック11の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block12.` | トランスフォーマーブロック12の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block13.` | トランスフォーマーブロック13の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block14.` | トランスフォーマーブロック14の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block15.` | トランスフォーマーブロック15の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block16.` | トランスフォーマーブロック16の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block17.` | トランスフォーマーブロック17の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block18.` | トランスフォーマーブロック18の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block19.` | トランスフォーマーブロック19の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block20.` | トランスフォーマーブロック20の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block21.` | トランスフォーマーブロック21の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block22.` | トランスフォーマーブロック22の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block23.` | トランスフォーマーブロック23の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block24.` | トランスフォーマーブロック24の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block25.` | トランスフォーマーブロック25の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block26.` | トランスフォーマーブロック26の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.block27.` | トランスフォーマーブロック27の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `final_layer.` | 最終層コンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 2つの入力モデルの特徴を組み合わせたマージ済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 2つの入力モデルの特徴を組み合わせたマージ済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos7B/ja.md) --- **Source fingerprint (SHA-256):** `0721b047933179706c76f622efb5b7425aad530d302d8b33ec12dd68513dec0b` diff --git a/ja/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx b/ja/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx index 57b87b8bc..9f411a7e6 100644 --- a/ja/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx +++ b/ja/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx @@ -5,65 +5,65 @@ sidebarTitle: "ModelMergeCosmosPredict2_14B" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_14B/ja.md) - ModelMergeCosmosPredict2_14B ノードは、2つのAIモデルの内部コンポーネントをブレンドしてマージします。特定のレイヤーとコンポーネントに対して調整可能な重み値を使用することで、2番目のモデルの各部分が最終的なマージ結果に与える影響の度合いを精密に制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル1` | MODEL | はい | - | マージのベースとなるモデル | -| `モデル2` | MODEL | はい | - | ベースモデルにマージする2番目のモデル | -| `pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 位置エンベッダーのブレンド重み（デフォルト：1.0） | -| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | 入力エンベッダーのブレンド重み（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間エンベッダーのブレンド重み（デフォルト：1.0） | -| `t_embedding_norm.` | FLOAT | はい | 0.0 - 1.0 | 時間エンベッディング正規化のブレンド重み（デフォルト：1.0） | -| `blocks.0.` | FLOAT | はい | 0.0 - 1.0 | ブロック0のブレンド重み（デフォルト：1.0） | -| `blocks.1.` | FLOAT | はい | 0.0 - 1.0 | ブロック1のブレンド重み（デフォルト：1.0） | -| `blocks.2.` | FLOAT | はい | 0.0 - 1.0 | ブロック2のブレンド重み（デフォルト：1.0） | -| `blocks.3.` | FLOAT | はい | 0.0 - 1.0 | ブロック3のブレンド重み（デフォルト：1.0） | -| `blocks.4.` | FLOAT | はい | 0.0 - 1.0 | ブロック4のブレンド重み（デフォルト：1.0） | -| `blocks.5.` | FLOAT | はい | 0.0 - 1.0 | ブロック5のブレンド重み（デフォルト：1.0） | -| `blocks.6.` | FLOAT | はい | 0.0 - 1.0 | ブロック6のブレンド重み（デフォルト：1.0） | -| `blocks.7.` | FLOAT | はい | 0.0 - 1.0 | ブロック7のブレンド重み（デフォルト：1.0） | -| `blocks.8.` | FLOAT | はい | 0.0 - 1.0 | ブロック8のブレンド重み（デフォルト：1.0） | -| `blocks.9.` | FLOAT | はい | 0.0 - 1.0 | ブロック9のブレンド重み（デフォルト：1.0） | -| `blocks.10.` | FLOAT | はい | 0.0 - 1.0 | ブロック10のブレンド重み（デフォルト：1.0） | -| `blocks.11.` | FLOAT | はい | 0.0 - 1.0 | ブロック11のブレンド重み（デフォルト：1.0） | -| `blocks.12.` | FLOAT | はい | 0.0 - 1.0 | ブロック12のブレンド重み（デフォルト：1.0） | -| `blocks.13.` | FLOAT | はい | 0.0 - 1.0 | ブロック13のブレンド重み（デフォルト：1.0） | -| `blocks.14.` | FLOAT | はい | 0.0 - 1.0 | ブロック14のブレンド重み（デフォルト：1.0） | -| `blocks.15.` | FLOAT | はい | 0.0 - 1.0 | ブロック15のブレンド重み（デフォルト：1.0） | -| `blocks.16.` | FLOAT | はい | 0.0 - 1.0 | ブロック16のブレンド重み（デフォルト：1.0） | -| `blocks.17.` | FLOAT | はい | 0.0 - 1.0 | ブロック17のブレンド重み（デフォルト：1.0） | -| `blocks.18.` | FLOAT | はい | 0.0 - 1.0 | ブロック18のブレンド重み（デフォルト：1.0） | -| `blocks.19.` | FLOAT | はい | 0.0 - 1.0 | ブロック19のブレンド重み（デフォルト：1.0） | -| `blocks.20.` | FLOAT | はい | 0.0 - 1.0 | ブロック20のブレンド重み（デフォルト：1.0） | -| `blocks.21.` | FLOAT | はい | 0.0 - 1.0 | ブロック21のブレンド重み（デフォルト：1.0） | -| `blocks.22.` | FLOAT | はい | 0.0 - 1.0 | ブロック22のブレンド重み（デフォルト：1.0） | -| `blocks.23.` | FLOAT | はい | 0.0 - 1.0 | ブロック23のブレンド重み（デフォルト：1.0） | -| `blocks.24.` | FLOAT | はい | 0.0 - 1.0 | ブロック24のブレンド重み（デフォルト：1.0） | -| `blocks.25.` | FLOAT | はい | 0.0 - 1.0 | ブロック25のブレンド重み（デフォルト：1.0） | -| `blocks.26.` | FLOAT | はい | 0.0 - 1.0 | ブロック26のブレンド重み（デフォルト：1.0） | -| `blocks.27.` | FLOAT | はい | 0.0 - 1.0 | ブロック27のブレンド重み（デフォルト：1.0） | -| `blocks.28.` | FLOAT | はい | 0.0 - 1.0 | ブロック28のブレンド重み（デフォルト：1.0） | -| `blocks.29.` | FLOAT | はい | 0.0 - 1.0 | ブロック29のブレンド重み（デフォルト：1.0） | -| `blocks.30.` | FLOAT | はい | 0.0 - 1.0 | ブロック30のブレンド重み（デフォルト：1.0） | -| `blocks.31.` | FLOAT | はい | 0.0 - 1.0 | ブロック31のブレンド重み（デフォルト：1.0） | -| `blocks.32.` | FLOAT | はい | 0.0 - 1.0 | ブロック32のブレンド重み（デフォルト：1.0） | -| `blocks.33.` | FLOAT | はい | 0.0 - 1.0 | ブロック33のブレンド重み（デフォルト：1.0） | -| `blocks.34.` | FLOAT | はい | 0.0 - 1.0 | ブロック34のブレンド重み（デフォルト：1.0） | -| `blocks.35.` | FLOAT | はい | 0.0 - 1.0 | ブロック35のブレンド重み（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終レイヤーのブレンド重み（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル1` | マージのベースとなるモデル | MODEL | はい | - | +| `モデル2` | ベースモデルにマージする2番目のモデル | MODEL | はい | - | +| `pos_embedder.` | 位置エンベッダーのブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `x_embedder.` | 入力エンベッダーのブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `t_embedder.` | 時間エンベッダーのブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `t_embedding_norm.` | 時間エンベッディング正規化のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.0.` | ブロック0のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.1.` | ブロック1のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.2.` | ブロック2のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.3.` | ブロック3のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.4.` | ブロック4のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.5.` | ブロック5のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.6.` | ブロック6のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.7.` | ブロック7のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.8.` | ブロック8のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.9.` | ブロック9のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.10.` | ブロック10のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.11.` | ブロック11のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.12.` | ブロック12のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.13.` | ブロック13のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.14.` | ブロック14のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.15.` | ブロック15のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.16.` | ブロック16のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.17.` | ブロック17のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.18.` | ブロック18のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.19.` | ブロック19のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.20.` | ブロック20のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.21.` | ブロック21のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.22.` | ブロック22のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.23.` | ブロック23のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.24.` | ブロック24のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.25.` | ブロック25のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.26.` | ブロック26のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.27.` | ブロック27のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.28.` | ブロック28のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.29.` | ブロック29のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.30.` | ブロック30のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.31.` | ブロック31のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.32.` | ブロック32のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.33.` | ブロック33のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.34.` | ブロック34のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.35.` | ブロック35のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `final_layer.` | 最終レイヤーのブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | **注記：** すべてのブレンド重みパラメータは0.0から1.0の間の値を受け入れます。0.0はその特定のコンポーネントに対するmodel2からの寄与がないことを意味し、1.0はmodel2からの完全な寄与を意味します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 2つの入力モデルの特徴を組み合わせたマージ済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 2つの入力モデルの特徴を組み合わせたマージ済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_14B/ja.md) --- **Source fingerprint (SHA-256):** `5e72608391bc47c2610c93fda19e6e12a1695f95f6135a08efe97e3d400acf84` diff --git a/ja/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx b/ja/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx index 06da08149..512ae3936 100644 --- a/ja/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx +++ b/ja/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx @@ -5,55 +5,55 @@ sidebarTitle: "ModelMergeCosmosPredict2_2B" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_2B/ja.md) - ModelMergeCosmosPredict2_2B ノードは、ブロックベースのアプローチを使用して2つの拡散モデルをマージし、異なるモデルコンポーネントを細かく制御します。位置埋め込み、時間埋め込み、トランスフォーマーブロック、最終層の補間重みを調整することで、2つのモデルの特定の部分をブレンドできます。これにより、各モデルの異なるアーキテクチャコンポーネントが最終的なマージ結果にどのように寄与するかを正確に制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | はい | - | マージする1つ目のモデル | -| `model2` | MODEL | はい | - | マージする2つ目のモデル | -| `pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 位置埋め込みの補間重み（デフォルト：1.0） | -| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | 入力埋め込みの補間重み（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込みの補間重み（デフォルト：1.0） | -| `t_embedding_norm.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込み正規化の補間重み（デフォルト：1.0） | -| `blocks.0.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック0の補間重み（デフォルト：1.0） | -| `blocks.1.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック1の補間重み（デフォルト：1.0） | -| `blocks.2.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック2の補間重み（デフォルト：1.0） | -| `blocks.3.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック3の補間重み（デフォルト：1.0） | -| `blocks.4.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック4の補間重み（デフォルト：1.0） | -| `blocks.5.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック5の補間重み（デフォルト：1.0） | -| `blocks.6.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック6の補間重み（デフォルト：1.0） | -| `blocks.7.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック7の補間重み（デフォルト：1.0） | -| `blocks.8.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック8の補間重み（デフォルト：1.0） | -| `blocks.9.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック9の補間重み（デフォルト：1.0） | -| `blocks.10.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック10の補間重み（デフォルト：1.0） | -| `blocks.11.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック11の補間重み（デフォルト：1.0） | -| `blocks.12.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック12の補間重み（デフォルト：1.0） | -| `blocks.13.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック13の補間重み（デフォルト：1.0） | -| `blocks.14.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック14の補間重み（デフォルト：1.0） | -| `blocks.15.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック15の補間重み（デフォルト：1.0） | -| `blocks.16.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック16の補間重み（デフォルト：1.0） | -| `blocks.17.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック17の補間重み（デフォルト：1.0） | -| `blocks.18.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック18の補間重み（デフォルト：1.0） | -| `blocks.19.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック19の補間重み（デフォルト：1.0） | -| `blocks.20.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック20の補間重み（デフォルト：1.0） | -| `blocks.21.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック21の補間重み（デフォルト：1.0） | -| `blocks.22.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック22の補間重み（デフォルト：1.0） | -| `blocks.23.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック23の補間重み（デフォルト：1.0） | -| `blocks.24.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック24の補間重み（デフォルト：1.0） | -| `blocks.25.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック25の補間重み（デフォルト：1.0） | -| `blocks.26.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック26の補間重み（デフォルト：1.0） | -| `blocks.27.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック27の補間重み（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終層の補間重み（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model1` | マージする1つ目のモデル | MODEL | はい | - | +| `model2` | マージする2つ目のモデル | MODEL | はい | - | +| `pos_embedder.` | 位置埋め込みの補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `x_embedder.` | 入力埋め込みの補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `t_embedder.` | 時間埋め込みの補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `t_embedding_norm.` | 時間埋め込み正規化の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.0.` | トランスフォーマーブロック0の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.1.` | トランスフォーマーブロック1の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.2.` | トランスフォーマーブロック2の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.3.` | トランスフォーマーブロック3の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.4.` | トランスフォーマーブロック4の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.5.` | トランスフォーマーブロック5の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.6.` | トランスフォーマーブロック6の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.7.` | トランスフォーマーブロック7の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.8.` | トランスフォーマーブロック8の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.9.` | トランスフォーマーブロック9の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.10.` | トランスフォーマーブロック10の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.11.` | トランスフォーマーブロック11の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.12.` | トランスフォーマーブロック12の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.13.` | トランスフォーマーブロック13の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.14.` | トランスフォーマーブロック14の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.15.` | トランスフォーマーブロック15の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.16.` | トランスフォーマーブロック16の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.17.` | トランスフォーマーブロック17の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.18.` | トランスフォーマーブロック18の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.19.` | トランスフォーマーブロック19の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.20.` | トランスフォーマーブロック20の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.21.` | トランスフォーマーブロック21の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.22.` | トランスフォーマーブロック22の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.23.` | トランスフォーマーブロック23の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.24.` | トランスフォーマーブロック24の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.25.` | トランスフォーマーブロック25の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.26.` | トランスフォーマーブロック26の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.27.` | トランスフォーマーブロック27の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `final_layer.` | 最終層の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 2つの入力モデルの特徴を組み合わせたマージ済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 2つの入力モデルの特徴を組み合わせたマージ済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_2B/ja.md) --- **Source fingerprint (SHA-256):** `53a8de66d6b731f5b29af326832f66cc973284bc8fdf09d779575f2346cc75a7` diff --git a/ja/built-in-nodes/ModelMergeFlux1.mdx b/ja/built-in-nodes/ModelMergeFlux1.mdx index 64f38ffcf..2ed6be653 100644 --- a/ja/built-in-nodes/ModelMergeFlux1.mdx +++ b/ja/built-in-nodes/ModelMergeFlux1.mdx @@ -5,85 +5,85 @@ sidebarTitle: "ModelMergeFlux1" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeFlux1/ja.md) - ModelMergeFlux1 ノードは、重み付け補間を使用してコンポーネントをブレンドすることで、2つの拡散モデルをマージします。これにより、画像処理ブロック、時間埋め込みレイヤー、ガイダンスメカニズム、ベクトル入力、テキストエンコーダー、およびさまざまなトランスフォーマーブロックなど、モデルの異なる部分をどのように組み合わせるかを細かく制御できます。これにより、2つのソースモデルからカスタマイズされた特性を持つハイブリッドモデルを作成できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル1` | MODEL | はい | - | マージする1つ目のソースモデル | -| `モデル2` | MODEL | はい | - | マージする2つ目のソースモデル | -| `img_in.` | FLOAT | はい | 0.0～1.0 | 画像入力の補間重み（デフォルト：1.0） | -| `time_in.` | FLOAT | はい | 0.0～1.0 | 時間埋め込みの補間重み（デフォルト：1.0） | -| `guidance_in` | FLOAT | はい | 0.0～1.0 | ガイダンスメカニズムの補間重み（デフォルト：1.0） | -| `vector_in.` | FLOAT | はい | 0.0～1.0 | ベクトル入力の補間重み（デフォルト：1.0） | -| `txt_in.` | FLOAT | はい | 0.0～1.0 | テキストエンコーダーの補間重み（デフォルト：1.0） | -| `double_blocks.0.` | FLOAT | はい | 0.0～1.0 | ダブルブロック0の補間重み（デフォルト：1.0） | -| `double_blocks.1.` | FLOAT | はい | 0.0～1.0 | ダブルブロック1の補間重み（デフォルト：1.0） | -| `double_blocks.2.` | FLOAT | はい | 0.0～1.0 | ダブルブロック2の補間重み（デフォルト：1.0） | -| `double_blocks.3.` | FLOAT | はい | 0.0～1.0 | ダブルブロック3の補間重み（デフォルト：1.0） | -| `double_blocks.4.` | FLOAT | はい | 0.0～1.0 | ダブルブロック4の補間重み（デフォルト：1.0） | -| `double_blocks.5.` | FLOAT | はい | 0.0～1.0 | ダブルブロック5の補間重み（デフォルト：1.0） | -| `double_blocks.6.` | FLOAT | はい | 0.0～1.0 | ダブルブロック6の補間重み（デフォルト：1.0） | -| `double_blocks.7.` | FLOAT | はい | 0.0～1.0 | ダブルブロック7の補間重み（デフォルト：1.0） | -| `double_blocks.8.` | FLOAT | はい | 0.0～1.0 | ダブルブロック8の補間重み（デフォルト：1.0） | -| `double_blocks.9.` | FLOAT | はい | 0.0～1.0 | ダブルブロック9の補間重み（デフォルト：1.0） | -| `double_blocks.10.` | FLOAT | はい | 0.0～1.0 | ダブルブロック10の補間重み（デフォルト：1.0） | -| `double_blocks.11.` | FLOAT | はい | 0.0～1.0 | ダブルブロック11の補間重み（デフォルト：1.0） | -| `double_blocks.12.` | FLOAT | はい | 0.0～1.0 | ダブルブロック12の補間重み（デフォルト：1.0） | -| `double_blocks.13.` | FLOAT | はい | 0.0～1.0 | ダブルブロック13の補間重み（デフォルト：1.0） | -| `double_blocks.14.` | FLOAT | はい | 0.0～1.0 | ダブルブロック14の補間重み（デフォルト：1.0） | -| `double_blocks.15.` | FLOAT | はい | 0.0～1.0 | ダブルブロック15の補間重み（デフォルト：1.0） | -| `double_blocks.16.` | FLOAT | はい | 0.0～1.0 | ダブルブロック16の補間重み（デフォルト：1.0） | -| `double_blocks.17.` | FLOAT | はい | 0.0～1.0 | ダブルブロック17の補間重み（デフォルト：1.0） | -| `double_blocks.18.` | FLOAT | はい | 0.0～1.0 | ダブルブロック18の補間重み（デフォルト：1.0） | -| `single_blocks.0.` | FLOAT | はい | 0.0～1.0 | シングルブロック0の補間重み（デフォルト：1.0） | -| `single_blocks.1.` | FLOAT | はい | 0.0～1.0 | シングルブロック1の補間重み（デフォルト：1.0） | -| `single_blocks.2.` | FLOAT | はい | 0.0～1.0 | シングルブロック2の補間重み（デフォルト：1.0） | -| `single_blocks.3.` | FLOAT | はい | 0.0～1.0 | シングルブロック3の補間重み（デフォルト：1.0） | -| `single_blocks.4.` | FLOAT | はい | 0.0～1.0 | シングルブロック4の補間重み（デフォルト：1.0） | -| `single_blocks.5.` | FLOAT | はい | 0.0～1.0 | シングルブロック5の補間重み（デフォルト：1.0） | -| `single_blocks.6.` | FLOAT | はい | 0.0～1.0 | シングルブロック6の補間重み（デフォルト：1.0） | -| `single_blocks.7.` | FLOAT | はい | 0.0～1.0 | シングルブロック7の補間重み（デフォルト：1.0） | -| `single_blocks.8.` | FLOAT | はい | 0.0～1.0 | シングルブロック8の補間重み（デフォルト：1.0） | -| `single_blocks.9.` | FLOAT | はい | 0.0～1.0 | シングルブロック9の補間重み（デフォルト：1.0） | -| `single_blocks.10.` | FLOAT | はい | 0.0～1.0 | シングルブロック10の補間重み（デフォルト：1.0） | -| `single_blocks.11.` | FLOAT | はい | 0.0～1.0 | シングルブロック11の補間重み（デフォルト：1.0） | -| `single_blocks.12.` | FLOAT | はい | 0.0～1.0 | シングルブロック12の補間重み（デフォルト：1.0） | -| `single_blocks.13.` | FLOAT | はい | 0.0～1.0 | シングルブロック13の補間重み（デフォルト：1.0） | -| `single_blocks.14.` | FLOAT | はい | 0.0～1.0 | シングルブロック14の補間重み（デフォルト：1.0） | -| `single_blocks.15.` | FLOAT | はい | 0.0～1.0 | シングルブロック15の補間重み（デフォルト：1.0） | -| `single_blocks.16.` | FLOAT | はい | 0.0～1.0 | シングルブロック16の補間重み（デフォルト：1.0） | -| `single_blocks.17.` | FLOAT | はい | 0.0～1.0 | シングルブロック17の補間重み（デフォルト：1.0） | -| `single_blocks.18.` | FLOAT | はい | 0.0～1.0 | シングルブロック18の補間重み（デフォルト：1.0） | -| `single_blocks.19.` | FLOAT | はい | 0.0～1.0 | シングルブロック19の補間重み（デフォルト：1.0） | -| `single_blocks.20.` | FLOAT | はい | 0.0～1.0 | シングルブロック20の補間重み（デフォルト：1.0） | -| `single_blocks.21.` | FLOAT | はい | 0.0～1.0 | シングルブロック21の補間重み（デフォルト：1.0） | -| `single_blocks.22.` | FLOAT | はい | 0.0～1.0 | シングルブロック22の補間重み（デフォルト：1.0） | -| `single_blocks.23.` | FLOAT | はい | 0.0～1.0 | シングルブロック23の補間重み（デフォルト：1.0） | -| `single_blocks.24.` | FLOAT | はい | 0.0～1.0 | シングルブロック24の補間重み（デフォルト：1.0） | -| `single_blocks.25.` | FLOAT | はい | 0.0～1.0 | シングルブロック25の補間重み（デフォルト：1.0） | -| `single_blocks.26.` | FLOAT | はい | 0.0～1.0 | シングルブロック26の補間重み（デフォルト：1.0） | -| `single_blocks.27.` | FLOAT | はい | 0.0～1.0 | シングルブロック27の補間重み（デフォルト：1.0） | -| `single_blocks.28.` | FLOAT | はい | 0.0～1.0 | シングルブロック28の補間重み（デフォルト：1.0） | -| `single_blocks.29.` | FLOAT | はい | 0.0～1.0 | シングルブロック29の補間重み（デフォルト：1.0） | -| `single_blocks.30.` | FLOAT | はい | 0.0～1.0 | シングルブロック30の補間重み（デフォルト：1.0） | -| `single_blocks.31.` | FLOAT | はい | 0.0～1.0 | シングルブロック31の補間重み（デフォルト：1.0） | -| `single_blocks.32.` | FLOAT | はい | 0.0～1.0 | シングルブロック32の補間重み（デフォルト：1.0） | -| `single_blocks.33.` | FLOAT | はい | 0.0～1.0 | シングルブロック33の補間重み（デフォルト：1.0） | -| `single_blocks.34.` | FLOAT | はい | 0.0～1.0 | シングルブロック34の補間重み（デフォルト：1.0） | -| `single_blocks.35.` | FLOAT | はい | 0.0～1.0 | シングルブロック35の補間重み（デフォルト：1.0） | -| `single_blocks.36.` | FLOAT | はい | 0.0～1.0 | シングルブロック36の補間重み（デフォルト：1.0） | -| `single_blocks.37.` | FLOAT | はい | 0.0～1.0 | シングルブロック37の補間重み（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0～1.0 | 最終レイヤーの補間重み（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル1` | マージする1つ目のソースモデル | MODEL | はい | - | +| `モデル2` | マージする2つ目のソースモデル | MODEL | はい | - | +| `img_in.` | 画像入力の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `time_in.` | 時間埋め込みの補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `guidance_in` | ガイダンスメカニズムの補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `vector_in.` | ベクトル入力の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `txt_in.` | テキストエンコーダーの補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.0.` | ダブルブロック0の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.1.` | ダブルブロック1の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.2.` | ダブルブロック2の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.3.` | ダブルブロック3の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.4.` | ダブルブロック4の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.5.` | ダブルブロック5の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.6.` | ダブルブロック6の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.7.` | ダブルブロック7の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.8.` | ダブルブロック8の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.9.` | ダブルブロック9の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.10.` | ダブルブロック10の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.11.` | ダブルブロック11の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.12.` | ダブルブロック12の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.13.` | ダブルブロック13の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.14.` | ダブルブロック14の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.15.` | ダブルブロック15の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.16.` | ダブルブロック16の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.17.` | ダブルブロック17の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `double_blocks.18.` | ダブルブロック18の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.0.` | シングルブロック0の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.1.` | シングルブロック1の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.2.` | シングルブロック2の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.3.` | シングルブロック3の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.4.` | シングルブロック4の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.5.` | シングルブロック5の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.6.` | シングルブロック6の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.7.` | シングルブロック7の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.8.` | シングルブロック8の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.9.` | シングルブロック9の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.10.` | シングルブロック10の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.11.` | シングルブロック11の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.12.` | シングルブロック12の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.13.` | シングルブロック13の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.14.` | シングルブロック14の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.15.` | シングルブロック15の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.16.` | シングルブロック16の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.17.` | シングルブロック17の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.18.` | シングルブロック18の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.19.` | シングルブロック19の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.20.` | シングルブロック20の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.21.` | シングルブロック21の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.22.` | シングルブロック22の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.23.` | シングルブロック23の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.24.` | シングルブロック24の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.25.` | シングルブロック25の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.26.` | シングルブロック26の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.27.` | シングルブロック27の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.28.` | シングルブロック28の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.29.` | シングルブロック29の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.30.` | シングルブロック30の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.31.` | シングルブロック31の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.32.` | シングルブロック32の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.33.` | シングルブロック33の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.34.` | シングルブロック34の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.35.` | シングルブロック35の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.36.` | シングルブロック36の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `single_blocks.37.` | シングルブロック37の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `final_layer.` | 最終レイヤーの補間重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 2つの入力モデルの特性を組み合わせたマージ済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 2つの入力モデルの特性を組み合わせたマージ済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeFlux1/ja.md) --- **Source fingerprint (SHA-256):** `a632133b5d4bc7c5a4e1be5f6f779e424a491fffb8ef7702346adc4acf6f23bc` diff --git a/ja/built-in-nodes/ModelMergeLTXV.mdx b/ja/built-in-nodes/ModelMergeLTXV.mdx index 981c6c181..cc382ce0e 100644 --- a/ja/built-in-nodes/ModelMergeLTXV.mdx +++ b/ja/built-in-nodes/ModelMergeLTXV.mdx @@ -5,55 +5,55 @@ sidebarTitle: "ModelMergeLTXV" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeLTXV/ja.md) - ModelMergeLTXV ノードは、LTXV モデルアーキテクチャ専用に設計された高度なモデルマージ操作を実行します。このノードを使用すると、トランスフォーマーブロック、プロジェクション層、その他の特殊モジュールなど、さまざまなモデルコンポーネントの補間ウェイトを調整することで、2つの異なるモデルをブレンドできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル1` | MODEL | はい | - | マージする最初のモデル | -| `モデル2` | MODEL | はい | - | マージする2番目のモデル | -| `patchify_proj.` | FLOAT | はい | 0.0 - 1.0 | パッチ化プロジェクション層の補間ウェイト（デフォルト：1.0） | -| `adaln_single.` | FLOAT | はい | 0.0 - 1.0 | 適応型レイヤー正規化シングル層の補間ウェイト（デフォルト：1.0） | -| `caption_projection.` | FLOAT | はい | 0.0 - 1.0 | キャプションプロジェクション層の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.0.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック0の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.1.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック1の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.2.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック2の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.3.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック3の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.4.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック4の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.5.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック5の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.6.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック6の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.7.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック7の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.8.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック8の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.9.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック9の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.10.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック10の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.11.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック11の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.12.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック12の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.13.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック13の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.14.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック14の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.15.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック15の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.16.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック16の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.17.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック17の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.18.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック18の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.19.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック19の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.20.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック20の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.21.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック21の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.22.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック22の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.23.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック23の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.24.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック24の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.25.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック25の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.26.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック26の補間ウェイト（デフォルト：1.0） | -| `transformer_blocks.27.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック27の補間ウェイト（デフォルト：1.0） | -| `スケールシフトテーブル` | FLOAT | はい | 0.0 - 1.0 | スケールシフトテーブルの補間ウェイト（デフォルト：1.0） | -| `proj_out.` | FLOAT | はい | 0.0 - 1.0 | プロジェクション出力層の補間ウェイト（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル1` | マージする最初のモデル | MODEL | はい | - | +| `モデル2` | マージする2番目のモデル | MODEL | はい | - | +| `patchify_proj.` | パッチ化プロジェクション層の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `adaln_single.` | 適応型レイヤー正規化シングル層の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `caption_projection.` | キャプションプロジェクション層の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.0.` | トランスフォーマーブロック0の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.1.` | トランスフォーマーブロック1の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.2.` | トランスフォーマーブロック2の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.3.` | トランスフォーマーブロック3の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.4.` | トランスフォーマーブロック4の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.5.` | トランスフォーマーブロック5の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.6.` | トランスフォーマーブロック6の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.7.` | トランスフォーマーブロック7の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.8.` | トランスフォーマーブロック8の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.9.` | トランスフォーマーブロック9の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.10.` | トランスフォーマーブロック10の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.11.` | トランスフォーマーブロック11の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.12.` | トランスフォーマーブロック12の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.13.` | トランスフォーマーブロック13の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.14.` | トランスフォーマーブロック14の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.15.` | トランスフォーマーブロック15の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.16.` | トランスフォーマーブロック16の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.17.` | トランスフォーマーブロック17の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.18.` | トランスフォーマーブロック18の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.19.` | トランスフォーマーブロック19の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.20.` | トランスフォーマーブロック20の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.21.` | トランスフォーマーブロック21の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.22.` | トランスフォーマーブロック22の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.23.` | トランスフォーマーブロック23の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.24.` | トランスフォーマーブロック24の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.25.` | トランスフォーマーブロック25の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.26.` | トランスフォーマーブロック26の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `transformer_blocks.27.` | トランスフォーマーブロック27の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `スケールシフトテーブル` | スケールシフトテーブルの補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `proj_out.` | プロジェクション出力層の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 指定された補間ウェイトに従って、2つの入力モデルの特徴を組み合わせたマージ済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 指定された補間ウェイトに従って、2つの入力モデルの特徴を組み合わせたマージ済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeLTXV/ja.md) --- **Source fingerprint (SHA-256):** `29ef8750b6e88f71abca10c8aaad5d75c9c32afec057af78842ca82441438922` diff --git a/ja/built-in-nodes/ModelMergeMochiPreview.mdx b/ja/built-in-nodes/ModelMergeMochiPreview.mdx index df184bba1..3f8e8a51d 100644 --- a/ja/built-in-nodes/ModelMergeMochiPreview.mdx +++ b/ja/built-in-nodes/ModelMergeMochiPreview.mdx @@ -5,75 +5,75 @@ sidebarTitle: "ModelMergeMochiPreview" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeMochiPreview/ja.md) - このノードは、ブロックベースのアプローチを使用して2つのAIモデルをマージし、異なるモデルコンポーネントを細かく制御します。位置周波数、埋め込み層、個々のトランスフォーマーブロックなど、特定のセクションの補間ウェイトを調整することで、モデルをブレンドできます。マージ処理では、指定されたウェイト値に従って、両方の入力モデルのアーキテクチャとパラメータが結合されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル1` | MODEL | はい | - | マージする1つ目のモデル | -| `モデル2` | MODEL | はい | - | マージする2つ目のモデル | -| `pos_frequencies.` | FLOAT | はい | 0.0 - 1.0 | 位置周波数の補間ウェイト（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込みの補間ウェイト（デフォルト：1.0） | -| `t5_y_embedder.` | FLOAT | はい | 0.0 - 1.0 | T5-Y埋め込みの補間ウェイト（デフォルト：1.0） | -| `t5_yproj.` | FLOAT | はい | 0.0 - 1.0 | T5-Y投影の補間ウェイト（デフォルト：1.0） | -| `blocks.0.` | FLOAT | はい | 0.0 - 1.0 | ブロック0の補間ウェイト（デフォルト：1.0） | -| `blocks.1.` | FLOAT | はい | 0.0 - 1.0 | ブロック1の補間ウェイト（デフォルト：1.0） | -| `blocks.2.` | FLOAT | はい | 0.0 - 1.0 | ブロック2の補間ウェイト（デフォルト：1.0） | -| `blocks.3.` | FLOAT | はい | 0.0 - 1.0 | ブロック3の補間ウェイト（デフォルト：1.0） | -| `blocks.4.` | FLOAT | はい | 0.0 - 1.0 | ブロック4の補間ウェイト（デフォルト：1.0） | -| `blocks.5.` | FLOAT | はい | 0.0 - 1.0 | ブロック5の補間ウェイト（デフォルト：1.0） | -| `blocks.6.` | FLOAT | はい | 0.0 - 1.0 | ブロック6の補間ウェイト（デフォルト：1.0） | -| `blocks.7.` | FLOAT | はい | 0.0 - 1.0 | ブロック7の補間ウェイト（デフォルト：1.0） | -| `blocks.8.` | FLOAT | はい | 0.0 - 1.0 | ブロック8の補間ウェイト（デフォルト：1.0） | -| `blocks.9.` | FLOAT | はい | 0.0 - 1.0 | ブロック9の補間ウェイト（デフォルト：1.0） | -| `blocks.10.` | FLOAT | はい | 0.0 - 1.0 | ブロック10の補間ウェイト（デフォルト：1.0） | -| `blocks.11.` | FLOAT | はい | 0.0 - 1.0 | ブロック11の補間ウェイト（デフォルト：1.0） | -| `blocks.12.` | FLOAT | はい | 0.0 - 1.0 | ブロック12の補間ウェイト（デフォルト：1.0） | -| `blocks.13.` | FLOAT | はい | 0.0 - 1.0 | ブロック13の補間ウェイト（デフォルト：1.0） | -| `blocks.14.` | FLOAT | はい | 0.0 - 1.0 | ブロック14の補間ウェイト（デフォルト：1.0） | -| `blocks.15.` | FLOAT | はい | 0.0 - 1.0 | ブロック15の補間ウェイト（デフォルト：1.0） | -| `blocks.16.` | FLOAT | はい | 0.0 - 1.0 | ブロック16の補間ウェイト（デフォルト：1.0） | -| `blocks.17.` | FLOAT | はい | 0.0 - 1.0 | ブロック17の補間ウェイト（デフォルト：1.0） | -| `blocks.18.` | FLOAT | はい | 0.0 - 1.0 | ブロック18の補間ウェイト（デフォルト：1.0） | -| `blocks.19.` | FLOAT | はい | 0.0 - 1.0 | ブロック19の補間ウェイト（デフォルト：1.0） | -| `blocks.20.` | FLOAT | はい | 0.0 - 1.0 | ブロック20の補間ウェイト（デフォルト：1.0） | -| `blocks.21.` | FLOAT | はい | 0.0 - 1.0 | ブロック21の補間ウェイト（デフォルト：1.0） | -| `blocks.22.` | FLOAT | はい | 0.0 - 1.0 | ブロック22の補間ウェイト（デフォルト：1.0） | -| `blocks.23.` | FLOAT | はい | 0.0 - 1.0 | ブロック23の補間ウェイト（デフォルト：1.0） | -| `blocks.24.` | FLOAT | はい | 0.0 - 1.0 | ブロック24の補間ウェイト（デフォルト：1.0） | -| `blocks.25.` | FLOAT | はい | 0.0 - 1.0 | ブロック25の補間ウェイト（デフォルト：1.0） | -| `blocks.26.` | FLOAT | はい | 0.0 - 1.0 | ブロック26の補間ウェイト（デフォルト：1.0） | -| `blocks.27.` | FLOAT | はい | 0.0 - 1.0 | ブロック27の補間ウェイト（デフォルト：1.0） | -| `blocks.28.` | FLOAT | はい | 0.0 - 1.0 | ブロック28の補間ウェイト（デフォルト：1.0） | -| `blocks.29.` | FLOAT | はい | 0.0 - 1.0 | ブロック29の補間ウェイト（デフォルト：1.0） | -| `blocks.30.` | FLOAT | はい | 0.0 - 1.0 | ブロック30の補間ウェイト（デフォルト：1.0） | -| `blocks.31.` | FLOAT | はい | 0.0 - 1.0 | ブロック31の補間ウェイト（デフォルト：1.0） | -| `blocks.32.` | FLOAT | はい | 0.0 - 1.0 | ブロック32の補間ウェイト（デフォルト：1.0） | -| `blocks.33.` | FLOAT | はい | 0.0 - 1.0 | ブロック33の補間ウェイト（デフォルト：1.0） | -| `blocks.34.` | FLOAT | はい | 0.0 - 1.0 | ブロック34の補間ウェイト（デフォルト：1.0） | -| `blocks.35.` | FLOAT | はい | 0.0 - 1.0 | ブロック35の補間ウェイト（デフォルト：1.0） | -| `blocks.36.` | FLOAT | はい | 0.0 - 1.0 | ブロック36の補間ウェイト（デフォルト：1.0） | -| `blocks.37.` | FLOAT | はい | 0.0 - 1.0 | ブロック37の補間ウェイト（デフォルト：1.0） | -| `blocks.38.` | FLOAT | はい | 0.0 - 1.0 | ブロック38の補間ウェイト（デフォルト：1.0） | -| `blocks.39.` | FLOAT | はい | 0.0 - 1.0 | ブロック39の補間ウェイト（デフォルト：1.0） | -| `blocks.40.` | FLOAT | はい | 0.0 - 1.0 | ブロック40の補間ウェイト（デフォルト：1.0） | -| `blocks.41.` | FLOAT | はい | 0.0 - 1.0 | ブロック41の補間ウェイト（デフォルト：1.0） | -| `blocks.42.` | FLOAT | はい | 0.0 - 1.0 | ブロック42の補間ウェイト（デフォルト：1.0） | -| `blocks.43.` | FLOAT | はい | 0.0 - 1.0 | ブロック43の補間ウェイト（デフォルト：1.0） | -| `blocks.44.` | FLOAT | はい | 0.0 - 1.0 | ブロック44の補間ウェイト（デフォルト：1.0） | -| `blocks.45.` | FLOAT | はい | 0.0 - 1.0 | ブロック45の補間ウェイト（デフォルト：1.0） | -| `blocks.46.` | FLOAT | はい | 0.0 - 1.0 | ブロック46の補間ウェイト（デフォルト：1.0） | -| `blocks.47.` | FLOAT | はい | 0.0 - 1.0 | ブロック47の補間ウェイト（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終層の補間ウェイト（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル1` | マージする1つ目のモデル | MODEL | はい | - | +| `モデル2` | マージする2つ目のモデル | MODEL | はい | - | +| `pos_frequencies.` | 位置周波数の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `t_embedder.` | 時間埋め込みの補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `t5_y_embedder.` | T5-Y埋め込みの補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `t5_yproj.` | T5-Y投影の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.0.` | ブロック0の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.1.` | ブロック1の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.2.` | ブロック2の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.3.` | ブロック3の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.4.` | ブロック4の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.5.` | ブロック5の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.6.` | ブロック6の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.7.` | ブロック7の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.8.` | ブロック8の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.9.` | ブロック9の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.10.` | ブロック10の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.11.` | ブロック11の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.12.` | ブロック12の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.13.` | ブロック13の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.14.` | ブロック14の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.15.` | ブロック15の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.16.` | ブロック16の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.17.` | ブロック17の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.18.` | ブロック18の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.19.` | ブロック19の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.20.` | ブロック20の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.21.` | ブロック21の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.22.` | ブロック22の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.23.` | ブロック23の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.24.` | ブロック24の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.25.` | ブロック25の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.26.` | ブロック26の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.27.` | ブロック27の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.28.` | ブロック28の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.29.` | ブロック29の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.30.` | ブロック30の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.31.` | ブロック31の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.32.` | ブロック32の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.33.` | ブロック33の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.34.` | ブロック34の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.35.` | ブロック35の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.36.` | ブロック36の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.37.` | ブロック37の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.38.` | ブロック38の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.39.` | ブロック39の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.40.` | ブロック40の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.41.` | ブロック41の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.42.` | ブロック42の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.43.` | ブロック43の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.44.` | ブロック44の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.45.` | ブロック45の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.46.` | ブロック46の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.47.` | ブロック47の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `final_layer.` | 最終層の補間ウェイト（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 指定されたウェイトに従って両方の入力モデルの特徴を組み合わせたマージ済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 指定されたウェイトに従って両方の入力モデルの特徴を組み合わせたマージ済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeMochiPreview/ja.md) --- **Source fingerprint (SHA-256):** `aebf536f3f89ca8c81141ac871b1b612082c3bd38a29984168b05eccf0cb57e3` diff --git a/ja/built-in-nodes/ModelMergeQwenImage.mdx b/ja/built-in-nodes/ModelMergeQwenImage.mdx index 701f81e42..6f3df0a15 100644 --- a/ja/built-in-nodes/ModelMergeQwenImage.mdx +++ b/ja/built-in-nodes/ModelMergeQwenImage.mdx @@ -5,29 +5,29 @@ sidebarTitle: "ModelMergeQwenImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeQwenImage/ja.md) - ModelMergeQwenImage ノードは、2つのAIモデルのコンポーネントを調整可能な重みで結合し、マージします。Qwen画像モデルの特定の部分（トランスフォーマーブロック、位置埋め込み、テキスト処理コンポーネントなど）をブレンドできます。マージ結果の異なるセクションに対して、各モデルの影響度を制御することが可能です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | はい | - | マージする1つ目のモデル（デフォルト：なし） | -| `model2` | MODEL | はい | - | マージする2つ目のモデル（デフォルト：なし） | -| `pos_embeds.` | FLOAT | はい | 0.0～1.0 | 位置埋め込みのブレンド重み（デフォルト：1.0） | -| `img_in.` | FLOAT | はい | 0.0～1.0 | 画像入力処理のブレンド重み（デフォルト：1.0） | -| `txt_norm.` | FLOAT | はい | 0.0～1.0 | テキスト正規化のブレンド重み（デフォルト：1.0） | -| `txt_in.` | FLOAT | はい | 0.0～1.0 | テキスト入力処理のブレンド重み（デフォルト：1.0） | -| `time_text_embed.` | FLOAT | はい | 0.0～1.0 | 時間とテキストの埋め込みブレンド重み（デフォルト：1.0） | -| `transformer_blocks.0.` ～ `transformer_blocks.59.` | FLOAT | はい | 0.0～1.0 | 各トランスフォーマーブロックのブレンド重み（デフォルト：1.0） | -| `proj_out.` | FLOAT | はい | 0.0～1.0 | 出力プロジェクションのブレンド重み（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model1` | マージする1つ目のモデル（デフォルト：なし） | MODEL | はい | - | +| `model2` | マージする2つ目のモデル（デフォルト：なし） | MODEL | はい | - | +| `pos_embeds.` | 位置埋め込みのブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `img_in.` | 画像入力処理のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `txt_norm.` | テキスト正規化のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `txt_in.` | テキスト入力処理のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `time_text_embed.` | 時間とテキストの埋め込みブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `transformer_blocks.0.` ～ `transformer_blocks.59.` | 各トランスフォーマーブロックのブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `proj_out.` | 出力プロジェクションのブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 指定された重みで両方の入力モデルのコンポーネントを結合したマージモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 指定された重みで両方の入力モデルのコンポーネントを結合したマージモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeQwenImage/ja.md) --- **Source fingerprint (SHA-256):** `a0424a3f4d4ffe170471ba463350d741f67ff1b1f5a8a016ad844c111033f97c` diff --git a/ja/built-in-nodes/ModelMergeSD1.mdx b/ja/built-in-nodes/ModelMergeSD1.mdx index e80bd69fb..0ae83576a 100644 --- a/ja/built-in-nodes/ModelMergeSD1.mdx +++ b/ja/built-in-nodes/ModelMergeSD1.mdx @@ -5,52 +5,52 @@ sidebarTitle: "ModelMergeSD1" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD1/ja.md) - ModelMergeSD1 ノードを使用すると、2つのStable Diffusion 1.xモデルをブレンドし、異なるモデルコンポーネントの影響度を調整することができます。このノードは、時間埋め込み、ラベル埋め込み、およびすべての入力ブロック、中間ブロック、出力ブロックを個別に制御できるため、特定のユースケースに合わせた微調整済みのモデルマージが可能です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル1` | MODEL | はい | - | マージする1つ目のモデル | -| `モデル2` | MODEL | はい | - | マージする2つ目のモデル | -| `time_embed.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込み層のブレンド重み（デフォルト：1.0） | -| `label_emb.` | FLOAT | はい | 0.0 - 1.0 | ラベル埋め込み層のブレンド重み（デフォルト：1.0） | -| `input_blocks.0.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック0のブレンド重み（デフォルト：1.0） | -| `input_blocks.1.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック1のブレンド重み（デフォルト：1.0） | -| `input_blocks.2.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック2のブレンド重み（デフォルト：1.0） | -| `input_blocks.3.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック3のブレンド重み（デフォルト：1.0） | -| `input_blocks.4.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック4のブレンド重み（デフォルト：1.0） | -| `input_blocks.5.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック5のブレンド重み（デフォルト：1.0） | -| `input_blocks.6.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック6のブレンド重み（デフォルト：1.0） | -| `input_blocks.7.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック7のブレンド重み（デフォルト：1.0） | -| `input_blocks.8.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック8のブレンド重み（デフォルト：1.0） | -| `input_blocks.9.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック9のブレンド重み（デフォルト：1.0） | -| `input_blocks.10.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック10のブレンド重み（デフォルト：1.0） | -| `input_blocks.11.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック11のブレンド重み（デフォルト：1.0） | -| `middle_block.0.` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック0のブレンド重み（デフォルト：1.0） | -| `middle_block.1.` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック1のブレンド重み（デフォルト：1.0） | -| `middle_block.2.` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック2のブレンド重み（デフォルト：1.0） | -| `output_blocks.0.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック0のブレンド重み（デフォルト：1.0） | -| `output_blocks.1.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック1のブレンド重み（デフォルト：1.0） | -| `output_blocks.2.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック2のブレンド重み（デフォルト：1.0） | -| `output_blocks.3.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック3のブレンド重み（デフォルト：1.0） | -| `output_blocks.4.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック4のブレンド重み（デフォルト：1.0） | -| `output_blocks.5.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック5のブレンド重み（デフォルト：1.0） | -| `output_blocks.6.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック6のブレンド重み（デフォルト：1.0） | -| `output_blocks.7.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック7のブレンド重み（デフォルト：1.0） | -| `output_blocks.8.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック8のブレンド重み（デフォルト：1.0） | -| `output_blocks.9.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック9のブレンド重み（デフォルト：1.0） | -| `output_blocks.10.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック10のブレンド重み（デフォルト：1.0） | -| `output_blocks.11.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック11のブレンド重み（デフォルト：1.0） | -| `out.` | FLOAT | はい | 0.0 - 1.0 | 出力層のブレンド重み（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル1` | マージする1つ目のモデル | MODEL | はい | - | +| `モデル2` | マージする2つ目のモデル | MODEL | はい | - | +| `time_embed.` | 時間埋め込み層のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `label_emb.` | ラベル埋め込み層のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.0.` | 入力ブロック0のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.1.` | 入力ブロック1のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.2.` | 入力ブロック2のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.3.` | 入力ブロック3のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.4.` | 入力ブロック4のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.5.` | 入力ブロック5のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.6.` | 入力ブロック6のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.7.` | 入力ブロック7のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.8.` | 入力ブロック8のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.9.` | 入力ブロック9のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.10.` | 入力ブロック10のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.11.` | 入力ブロック11のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `middle_block.0.` | 中間ブロック0のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `middle_block.1.` | 中間ブロック1のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `middle_block.2.` | 中間ブロック2のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.0.` | 出力ブロック0のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.1.` | 出力ブロック1のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.2.` | 出力ブロック2のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.3.` | 出力ブロック3のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.4.` | 出力ブロック4のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.5.` | 出力ブロック5のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.6.` | 出力ブロック6のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.7.` | 出力ブロック7のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.8.` | 出力ブロック8のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.9.` | 出力ブロック9のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.10.` | 出力ブロック10のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.11.` | 出力ブロック11のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `out.` | 出力層のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MODEL` | MODEL | 両方の入力モデルの特徴を組み合わせたマージ済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MODEL` | 両方の入力モデルの特徴を組み合わせたマージ済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD1/ja.md) --- **Source fingerprint (SHA-256):** `512c62fb5a4e1b7f90f5ad5b80de5818659a20c8f4b024cfa33ca13b823efad8` diff --git a/ja/built-in-nodes/ModelMergeSD35_Large.mdx b/ja/built-in-nodes/ModelMergeSD35_Large.mdx index 190c86aef..bcab7a397 100644 --- a/ja/built-in-nodes/ModelMergeSD35_Large.mdx +++ b/ja/built-in-nodes/ModelMergeSD35_Large.mdx @@ -5,68 +5,68 @@ sidebarTitle: "ModelMergeSD35_Large" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD35_Large/ja.md) - ModelMergeSD35_Large ノードを使用すると、2つのStable Diffusion 3.5 Largeモデルをブレンドし、異なるモデルコンポーネントの影響度を調整できます。このノードは、埋め込み層からジョイントブロック、最終層に至るまで、2つ目のモデルの各部分が最終的なマージモデルにどの程度寄与するかを精密に制御します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル1` | MODEL | はい | - | マージの基盤となるベースモデル | -| `モデル2` | MODEL | はい | - | ベースモデルにブレンドされるコンポーネントを持つ2つ目のモデル | -| `pos_embed.` | FLOAT | はい | 0.0～1.0 | model2の位置埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `x_embedder.` | FLOAT | はい | 0.0～1.0 | model2のx埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `context_embedder.` | FLOAT | はい | 0.0～1.0 | model2のコンテキスト埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `y_embedder.` | FLOAT | はい | 0.0～1.0 | model2のy埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0～1.0 | model2のt埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.0.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック0がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.1.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック1がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.2.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック2がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.3.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック3がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.4.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック4がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.5.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック5がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.6.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック6がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.7.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック7がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.8.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック8がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.9.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック9がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.10.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック10がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.11.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック11がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.12.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック12がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.13.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック13がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.14.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック14がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.15.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック15がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.16.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック16がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.17.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック17がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.18.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック18がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.19.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック19がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.20.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック20がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.21.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック21がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.22.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック22がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.23.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック23がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.24.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック24がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.25.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック25がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.26.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック26がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.27.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック27がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.28.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック28がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.29.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック29がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.30.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック30がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.31.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック31がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.32.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック32がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.33.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック33がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.34.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック34がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.35.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック35がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.36.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック36がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `joint_blocks.37.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック37がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0～1.0 | model2の最終層がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル1` | マージの基盤となるベースモデル | MODEL | はい | - | +| `モデル2` | ベースモデルにブレンドされるコンポーネントを持つ2つ目のモデル | MODEL | はい | - | +| `pos_embed.` | model2の位置埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `x_embedder.` | model2のx埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `context_embedder.` | model2のコンテキスト埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `y_embedder.` | model2のy埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `t_embedder.` | model2のt埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.0.` | model2のジョイントブロック0がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.1.` | model2のジョイントブロック1がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.2.` | model2のジョイントブロック2がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.3.` | model2のジョイントブロック3がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.4.` | model2のジョイントブロック4がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.5.` | model2のジョイントブロック5がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.6.` | model2のジョイントブロック6がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.7.` | model2のジョイントブロック7がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.8.` | model2のジョイントブロック8がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.9.` | model2のジョイントブロック9がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.10.` | model2のジョイントブロック10がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.11.` | model2のジョイントブロック11がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.12.` | model2のジョイントブロック12がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.13.` | model2のジョイントブロック13がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.14.` | model2のジョイントブロック14がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.15.` | model2のジョイントブロック15がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.16.` | model2のジョイントブロック16がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.17.` | model2のジョイントブロック17がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.18.` | model2のジョイントブロック18がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.19.` | model2のジョイントブロック19がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.20.` | model2のジョイントブロック20がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.21.` | model2のジョイントブロック21がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.22.` | model2のジョイントブロック22がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.23.` | model2のジョイントブロック23がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.24.` | model2のジョイントブロック24がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.25.` | model2のジョイントブロック25がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.26.` | model2のジョイントブロック26がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.27.` | model2のジョイントブロック27がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.28.` | model2のジョイントブロック28がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.29.` | model2のジョイントブロック29がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.30.` | model2のジョイントブロック30がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.31.` | model2のジョイントブロック31がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.32.` | model2のジョイントブロック32がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.33.` | model2のジョイントブロック33がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.34.` | model2のジョイントブロック34がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.35.` | model2のジョイントブロック35がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.36.` | model2のジョイントブロック36がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `joint_blocks.37.` | model2のジョイントブロック37がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | +| `final_layer.` | model2の最終層がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | FLOAT | はい | 0.0～1.0 | **注記：** すべてのブレンドパラメータは0.0～1.0の値を受け入れます。0.0はその特定のコンポーネントに対するmodel2の寄与がないことを意味し、1.0はmodel2の完全な寄与を意味します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 指定されたブレンドパラメータに従って、2つの入力モデルの特徴を組み合わせた結果のマージモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 指定されたブレンドパラメータに従って、2つの入力モデルの特徴を組み合わせた結果のマージモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD35_Large/ja.md) --- **Source fingerprint (SHA-256):** `1b491bd96cc40c6098fd8194f66753bc0f7aa485ea5f97b67b4d864cc9615c9a` diff --git a/ja/built-in-nodes/ModelMergeSD3_2B.mdx b/ja/built-in-nodes/ModelMergeSD3_2B.mdx index cb0f847db..3e314f6ce 100644 --- a/ja/built-in-nodes/ModelMergeSD3_2B.mdx +++ b/ja/built-in-nodes/ModelMergeSD3_2B.mdx @@ -5,52 +5,52 @@ sidebarTitle: "ModelMergeSD3_2B" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD3_2B/ja.md) - ModelMergeSD3_2B ノードを使用すると、2つのStable Diffusion 3 2Bモデルを、その構成要素を調整可能な重みでブレンドしてマージできます。このノードは、埋め込みレイヤーとトランスフォーマーブロックを個別に制御できるため、特殊な生成タスク向けに微調整されたモデルの組み合わせが可能です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル1` | MODEL | はい | - | マージする1つ目のモデル | -| `モデル2` | MODEL | はい | - | マージする2つ目のモデル | -| `pos_embed.` | FLOAT | はい | 0.0 - 1.0 | 位置埋め込みの補間重み（デフォルト：1.0） | -| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | 入力埋め込みの補間重み（デフォルト：1.0） | -| `context_embedder.` | FLOAT | はい | 0.0 - 1.0 | コンテキスト埋め込みの補間重み（デフォルト：1.0） | -| `y_embedder.` | FLOAT | はい | 0.0 - 1.0 | Y埋め込みの補間重み（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込みの補間重み（デフォルト：1.0） | -| `joint_blocks.0.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック0の補間重み（デフォルト：1.0） | -| `joint_blocks.1.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック1の補間重み（デフォルト：1.0） | -| `joint_blocks.2.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック2の補間重み（デフォルト：1.0） | -| `joint_blocks.3.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック3の補間重み（デフォルト：1.0） | -| `joint_blocks.4.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック4の補間重み（デフォルト：1.0） | -| `joint_blocks.5.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック5の補間重み（デフォルト：1.0） | -| `joint_blocks.6.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック6の補間重み（デフォルト：1.0） | -| `joint_blocks.7.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック7の補間重み（デフォルト：1.0） | -| `joint_blocks.8.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック8の補間重み（デフォルト：1.0） | -| `joint_blocks.9.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック9の補間重み（デフォルト：1.0） | -| `joint_blocks.10.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック10の補間重み（デフォルト：1.0） | -| `joint_blocks.11.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック11の補間重み（デフォルト：1.0） | -| `joint_blocks.12.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック12の補間重み（デフォルト：1.0） | -| `joint_blocks.13.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック13の補間重み（デフォルト：1.0） | -| `joint_blocks.14.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック14の補間重み（デフォルト：1.0） | -| `joint_blocks.15.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック15の補間重み（デフォルト：1.0） | -| `joint_blocks.16.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック16の補間重み（デフォルト：1.0） | -| `joint_blocks.17.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック17の補間重み（デフォルト：1.0） | -| `joint_blocks.18.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック18の補間重み（デフォルト：1.0） | -| `joint_blocks.19.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック19の補間重み（デフォルト：1.0） | -| `joint_blocks.20.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック20の補間重み（デフォルト：1.0） | -| `joint_blocks.21.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック21の補間重み（デフォルト：1.0） | -| `joint_blocks.22.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック22の補間重み（デフォルト：1.0） | -| `joint_blocks.23.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック23の補間重み（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終レイヤーの補間重み（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル1` | マージする1つ目のモデル | MODEL | はい | - | +| `モデル2` | マージする2つ目のモデル | MODEL | はい | - | +| `pos_embed.` | 位置埋め込みの補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `x_embedder.` | 入力埋め込みの補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `context_embedder.` | コンテキスト埋め込みの補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `y_embedder.` | Y埋め込みの補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `t_embedder.` | 時間埋め込みの補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.0.` | ジョイントブロック0の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.1.` | ジョイントブロック1の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.2.` | ジョイントブロック2の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.3.` | ジョイントブロック3の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.4.` | ジョイントブロック4の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.5.` | ジョイントブロック5の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.6.` | ジョイントブロック6の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.7.` | ジョイントブロック7の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.8.` | ジョイントブロック8の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.9.` | ジョイントブロック9の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.10.` | ジョイントブロック10の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.11.` | ジョイントブロック11の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.12.` | ジョイントブロック12の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.13.` | ジョイントブロック13の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.14.` | ジョイントブロック14の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.15.` | ジョイントブロック15の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.16.` | ジョイントブロック16の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.17.` | ジョイントブロック17の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.18.` | ジョイントブロック18の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.19.` | ジョイントブロック19の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.20.` | ジョイントブロック20の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.21.` | ジョイントブロック21の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.22.` | ジョイントブロック22の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `joint_blocks.23.` | ジョイントブロック23の補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `final_layer.` | 最終レイヤーの補間重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 両方の入力モデルの特徴を組み合わせたマージ済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 両方の入力モデルの特徴を組み合わせたマージ済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD3_2B/ja.md) --- **Source fingerprint (SHA-256):** `5b0c28c66e1828742873191be424956a9006e59ea1167a5941069ba0b7bc390b` diff --git a/ja/built-in-nodes/ModelMergeSDXL.mdx b/ja/built-in-nodes/ModelMergeSDXL.mdx index 54ed571c1..08ccfe46f 100644 --- a/ja/built-in-nodes/ModelMergeSDXL.mdx +++ b/ja/built-in-nodes/ModelMergeSDXL.mdx @@ -5,46 +5,46 @@ sidebarTitle: "ModelMergeSDXL" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSDXL/ja.md) - ModelMergeSDXL ノードを使用すると、2つのSDXLモデルをブレンドし、アーキテクチャの各部分に対する各モデルの影響度を調整できます。タイムエンベディング、ラベルエンベディング、およびモデル構造内のさまざまなブロックに対して、各モデルの寄与度を制御できます。これにより、両方の入力モデルの特徴を組み合わせたハイブリッドモデルが作成されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル1` | MODEL | はい | - | マージする1つ目のSDXLモデル | -| `モデル2` | MODEL | はい | - | マージする2つ目のSDXLモデル | -| `time_embed.` | FLOAT | はい | 0.0 - 1.0 | タイムエンベディング層のブレンド重み（デフォルト：1.0） | -| `label_emb.` | FLOAT | はい | 0.0 - 1.0 | ラベルエンベディング層のブレンド重み（デフォルト：1.0） | -| `input_blocks.0` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック0のブレンド重み（デフォルト：1.0） | -| `input_blocks.1` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック1のブレンド重み（デフォルト：1.0） | -| `input_blocks.2` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック2のブレンド重み（デフォルト：1.0） | -| `input_blocks.3` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック3のブレンド重み（デフォルト：1.0） | -| `input_blocks.4` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック4のブレンド重み（デフォルト：1.0） | -| `input_blocks.5` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック5のブレンド重み（デフォルト：1.0） | -| `input_blocks.6` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック6のブレンド重み（デフォルト：1.0） | -| `input_blocks.7` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック7のブレンド重み（デフォルト：1.0） | -| `input_blocks.8` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック8のブレンド重み（デフォルト：1.0） | -| `middle_block.0` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック0のブレンド重み（デフォルト：1.0） | -| `middle_block.1` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック1のブレンド重み（デフォルト：1.0） | -| `middle_block.2` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック2のブレンド重み（デフォルト：1.0） | -| `output_blocks.0` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック0のブレンド重み（デフォルト：1.0） | -| `output_blocks.1` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック1のブレンド重み（デフォルト：1.0） | -| `output_blocks.2` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック2のブレンド重み（デフォルト：1.0） | -| `output_blocks.3` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック3のブレンド重み（デフォルト：1.0） | -| `output_blocks.4` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック4のブレンド重み（デフォルト：1.0） | -| `output_blocks.5` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック5のブレンド重み（デフォルト：1.0） | -| `output_blocks.6` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック6のブレンド重み（デフォルト：1.0） | -| `output_blocks.7` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック7のブレンド重み（デフォルト：1.0） | -| `output_blocks.8` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック8のブレンド重み（デフォルト：1.0） | -| `out.` | FLOAT | はい | 0.0 - 1.0 | 出力層のブレンド重み（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル1` | マージする1つ目のSDXLモデル | MODEL | はい | - | +| `モデル2` | マージする2つ目のSDXLモデル | MODEL | はい | - | +| `time_embed.` | タイムエンベディング層のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `label_emb.` | ラベルエンベディング層のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.0` | 入力ブロック0のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.1` | 入力ブロック1のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.2` | 入力ブロック2のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.3` | 入力ブロック3のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.4` | 入力ブロック4のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.5` | 入力ブロック5のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.6` | 入力ブロック6のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.7` | 入力ブロック7のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `input_blocks.8` | 入力ブロック8のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `middle_block.0` | 中間ブロック0のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `middle_block.1` | 中間ブロック1のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `middle_block.2` | 中間ブロック2のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.0` | 出力ブロック0のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.1` | 出力ブロック1のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.2` | 出力ブロック2のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.3` | 出力ブロック3のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.4` | 出力ブロック4のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.5` | 出力ブロック5のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.6` | 出力ブロック6のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.7` | 出力ブロック7のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `output_blocks.8` | 出力ブロック8のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `out.` | 出力層のブレンド重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 両方の入力モデルの特徴を組み合わせたマージ済みSDXLモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 両方の入力モデルの特徴を組み合わせたマージ済みSDXLモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSDXL/ja.md) --- **Source fingerprint (SHA-256):** `6c7572a6ed50534f2d9ad6f499146763457da58f0c9dd4b85204e67f7d3e9660` diff --git a/ja/built-in-nodes/ModelMergeSimple.mdx b/ja/built-in-nodes/ModelMergeSimple.mdx index 6b48b8102..892b71fad 100644 --- a/ja/built-in-nodes/ModelMergeSimple.mdx +++ b/ja/built-in-nodes/ModelMergeSimple.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ModelMergeSimple" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSimple/ja.md) - ModelMergeSimple ノードは、指定された比率に基づいて2つのモデルのパラメータをブレンドし、マージするために設計されています。このノードは、両方の入力モデルの強みや特性を組み合わせたハイブリッドモデルの作成を容易にします。 `ratio` パラメータは、2つのモデル間のブレンド比率を決定します。この値が1の場合は出力モデルが100% `model1` となり、0の場合は出力モデルが100% `model2` となります。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `モデル1` | `MODEL` | マージされる最初のモデルです。2番目のモデルからのパッチが適用されるベースモデルとして機能します。 | -| `モデル2` | `MODEL` | 指定された比率に影響を受けながら、最初のモデルにパッチが適用される2番目のモデルです。 | -| `比率` | `FLOAT` | この値が1の場合は出力モデルが100% `モデル1` となり、0の場合は出力モデルが100% `モデル2` となります。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `モデル1` | マージされる最初のモデルです。2番目のモデルからのパッチが適用されるベースモデルとして機能します。 | `MODEL` | +| `モデル2` | 指定された比率に影響を受けながら、最初のモデルにパッチが適用される2番目のモデルです。 | `MODEL` | +| `比率` | この値が1の場合は出力モデルが100% `モデル1` となり、0の場合は出力モデルが100% `モデル2` となります。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `model` | MODEL | 指定された比率に従って両方の入力モデルの要素を組み込んだ、結果として得られるマージ済みモデルです。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `model` | 指定された比率に従って両方の入力モデルの要素を組み込んだ、結果として得られるマージ済みモデルです。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSimple/ja.md) diff --git a/ja/built-in-nodes/ModelMergeSubtract.mdx b/ja/built-in-nodes/ModelMergeSubtract.mdx index 3b0167c3f..c826c9fb0 100644 --- a/ja/built-in-nodes/ModelMergeSubtract.mdx +++ b/ja/built-in-nodes/ModelMergeSubtract.mdx @@ -5,20 +5,20 @@ sidebarTitle: "ModelMergeSubtract" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSubtract/ja.md) - このノードは高度なモデルマージ操作のために設計されており、具体的には指定された乗数に基づいて、あるモデルのパラメータを別のモデルから減算します。これにより、一方のモデルのパラメータが他方のモデルに与える影響を調整することで、モデルの動作をカスタマイズし、新しいハイブリッドモデルの作成を容易にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|---------------|--------------|-------------| -| `モデル1` | `MODEL` | パラメータが減算されるベースモデルです。 | -| `モデル2` | `MODEL` | ベースモデルからパラメータが減算されるモデルです。 | -| `乗数` | `FLOAT` | ベースモデルのパラメータに対する減算効果を拡大縮小する浮動小数点値です。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `モデル1` | パラメータが減算されるベースモデルです。 | `MODEL` | +| `モデル2` | ベースモデルからパラメータが減算されるモデルです。 | `MODEL` | +| `乗数` | ベースモデルのパラメータに対する減算効果を拡大縮小する浮動小数点値です。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `model` | MODEL | 一方のモデルのパラメータを他方のモデルから減算し、乗数で拡大縮小した結果のモデルです。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `model` | 一方のモデルのパラメータを他方のモデルから減算し、乗数で拡大縮小した結果のモデルです。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSubtract/ja.md) diff --git a/ja/built-in-nodes/ModelMergeWAN2_1.mdx b/ja/built-in-nodes/ModelMergeWAN2_1.mdx index 0a47eacfc..f27d6f08a 100644 --- a/ja/built-in-nodes/ModelMergeWAN2_1.mdx +++ b/ja/built-in-nodes/ModelMergeWAN2_1.mdx @@ -5,70 +5,70 @@ sidebarTitle: "ModelMergeWAN2_1" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeWAN2_1/ja.md) - ModelMergeWAN2_1 ノードは、2つのWAN2.1モデルを、その構成要素を加重平均でブレンドしてマージします。このノードは、30ブロックの1.3Bモデルや40ブロックの14Bモデルなど、異なるモデルサイズをサポートしており、画像から動画へのモデル（追加の画像埋め込みコンポーネントを含む）を特別に処理します。モデルの各コンポーネントには個別に重みを設定でき、2つの入力モデル間のブレンド比率を制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | はい | - | マージする1つ目のモデル | -| `model2` | MODEL | はい | - | マージする2つ目のモデル | -| `patch_embedding.` | FLOAT | はい | 0.0 - 1.0 | パッチ埋め込みコンポーネントの重み（デフォルト：1.0） | -| `time_embedding.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込みコンポーネントの重み（デフォルト：1.0） | -| `time_projection.` | FLOAT | はい | 0.0 - 1.0 | 時間射影コンポーネントの重み（デフォルト：1.0） | -| `text_embedding.` | FLOAT | はい | 0.0 - 1.0 | テキスト埋め込みコンポーネントの重み（デフォルト：1.0） | -| `img_emb.` | FLOAT | はい | 0.0 - 1.0 | 画像埋め込みコンポーネントの重み。画像から動画へのモデルで使用されます（デフォルト：1.0） | -| `blocks.0.` | FLOAT | はい | 0.0 - 1.0 | ブロック0の重み（デフォルト：1.0） | -| `blocks.1.` | FLOAT | はい | 0.0 - 1.0 | ブロック1の重み（デフォルト：1.0） | -| `blocks.2.` | FLOAT | はい | 0.0 - 1.0 | ブロック2の重み（デフォルト：1.0） | -| `blocks.3.` | FLOAT | はい | 0.0 - 1.0 | ブロック3の重み（デフォルト：1.0） | -| `blocks.4.` | FLOAT | はい | 0.0 - 1.0 | ブロック4の重み（デフォルト：1.0） | -| `blocks.5.` | FLOAT | はい | 0.0 - 1.0 | ブロック5の重み（デフォルト：1.0） | -| `blocks.6.` | FLOAT | はい | 0.0 - 1.0 | ブロック6の重み（デフォルト：1.0） | -| `blocks.7.` | FLOAT | はい | 0.0 - 1.0 | ブロック7の重み（デフォルト：1.0） | -| `blocks.8.` | FLOAT | はい | 0.0 - 1.0 | ブロック8の重み（デフォルト：1.0） | -| `blocks.9.` | FLOAT | はい | 0.0 - 1.0 | ブロック9の重み（デフォルト：1.0） | -| `blocks.10.` | FLOAT | はい | 0.0 - 1.0 | ブロック10の重み（デフォルト：1.0） | -| `blocks.11.` | FLOAT | はい | 0.0 - 1.0 | ブロック11の重み（デフォルト：1.0） | -| `blocks.12.` | FLOAT | はい | 0.0 - 1.0 | ブロック12の重み（デフォルト：1.0） | -| `blocks.13.` | FLOAT | はい | 0.0 - 1.0 | ブロック13の重み（デフォルト：1.0） | -| `blocks.14.` | FLOAT | はい | 0.0 - 1.0 | ブロック14の重み（デフォルト：1.0） | -| `blocks.15.` | FLOAT | はい | 0.0 - 1.0 | ブロック15の重み（デフォルト：1.0） | -| `blocks.16.` | FLOAT | はい | 0.0 - 1.0 | ブロック16の重み（デフォルト：1.0） | -| `blocks.17.` | FLOAT | はい | 0.0 - 1.0 | ブロック17の重み（デフォルト：1.0） | -| `blocks.18.` | FLOAT | はい | 0.0 - 1.0 | ブロック18の重み（デフォルト：1.0） | -| `blocks.19.` | FLOAT | はい | 0.0 - 1.0 | ブロック19の重み（デフォルト：1.0） | -| `blocks.20.` | FLOAT | はい | 0.0 - 1.0 | ブロック20の重み（デフォルト：1.0） | -| `blocks.21.` | FLOAT | はい | 0.0 - 1.0 | ブロック21の重み（デフォルト：1.0） | -| `blocks.22.` | FLOAT | はい | 0.0 - 1.0 | ブロック22の重み（デフォルト：1.0） | -| `blocks.23.` | FLOAT | はい | 0.0 - 1.0 | ブロック23の重み（デフォルト：1.0） | -| `blocks.24.` | FLOAT | はい | 0.0 - 1.0 | ブロック24の重み（デフォルト：1.0） | -| `blocks.25.` | FLOAT | はい | 0.0 - 1.0 | ブロック25の重み（デフォルト：1.0） | -| `blocks.26.` | FLOAT | はい | 0.0 - 1.0 | ブロック26の重み（デフォルト：1.0） | -| `blocks.27.` | FLOAT | はい | 0.0 - 1.0 | ブロック27の重み（デフォルト：1.0） | -| `blocks.28.` | FLOAT | はい | 0.0 - 1.0 | ブロック28の重み（デフォルト：1.0） | -| `blocks.29.` | FLOAT | はい | 0.0 - 1.0 | ブロック29の重み（デフォルト：1.0） | -| `blocks.30.` | FLOAT | はい | 0.0 - 1.0 | ブロック30の重み（デフォルト：1.0） | -| `blocks.31.` | FLOAT | はい | 0.0 - 1.0 | ブロック31の重み（デフォルト：1.0） | -| `blocks.32.` | FLOAT | はい | 0.0 - 1.0 | ブロック32の重み（デフォルト：1.0） | -| `blocks.33.` | FLOAT | はい | 0.0 - 1.0 | ブロック33の重み（デフォルト：1.0） | -| `blocks.34.` | FLOAT | はい | 0.0 - 1.0 | ブロック34の重み（デフォルト：1.0） | -| `blocks.35.` | FLOAT | はい | 0.0 - 1.0 | ブロック35の重み（デフォルト：1.0） | -| `blocks.36.` | FLOAT | はい | 0.0 - 1.0 | ブロック36の重み（デフォルト：1.0） | -| `blocks.37.` | FLOAT | はい | 0.0 - 1.0 | ブロック37の重み（デフォルト：1.0） | -| `blocks.38.` | FLOAT | はい | 0.0 - 1.0 | ブロック38の重み（デフォルト：1.0） | -| `blocks.39.` | FLOAT | はい | 0.0 - 1.0 | ブロック39の重み（デフォルト：1.0） | -| `head.` | FLOAT | はい | 0.0 - 1.0 | ヘッドコンポーネントの重み（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model1` | マージする1つ目のモデル | MODEL | はい | - | +| `model2` | マージする2つ目のモデル | MODEL | はい | - | +| `patch_embedding.` | パッチ埋め込みコンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `time_embedding.` | 時間埋め込みコンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `time_projection.` | 時間射影コンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `text_embedding.` | テキスト埋め込みコンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `img_emb.` | 画像埋め込みコンポーネントの重み。画像から動画へのモデルで使用されます（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.0.` | ブロック0の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.1.` | ブロック1の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.2.` | ブロック2の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.3.` | ブロック3の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.4.` | ブロック4の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.5.` | ブロック5の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.6.` | ブロック6の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.7.` | ブロック7の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.8.` | ブロック8の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.9.` | ブロック9の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.10.` | ブロック10の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.11.` | ブロック11の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.12.` | ブロック12の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.13.` | ブロック13の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.14.` | ブロック14の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.15.` | ブロック15の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.16.` | ブロック16の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.17.` | ブロック17の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.18.` | ブロック18の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.19.` | ブロック19の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.20.` | ブロック20の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.21.` | ブロック21の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.22.` | ブロック22の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.23.` | ブロック23の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.24.` | ブロック24の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.25.` | ブロック25の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.26.` | ブロック26の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.27.` | ブロック27の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.28.` | ブロック28の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.29.` | ブロック29の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.30.` | ブロック30の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.31.` | ブロック31の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.32.` | ブロック32の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.33.` | ブロック33の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.34.` | ブロック34の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.35.` | ブロック35の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.36.` | ブロック36の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.37.` | ブロック37の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.38.` | ブロック38の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `blocks.39.` | ブロック39の重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `head.` | ヘッドコンポーネントの重み（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | **注意：** すべての重みパラメータは0.0から1.0の範囲で、0.01刻みで設定できます。このノードは最大40ブロックまでサポートしており、1.3Bモデルは30ブロック、14Bモデルは40ブロックを使用します。`img_emb.`パラメータは、画像から動画へのモデル専用です。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 指定された重みに従って、2つの入力モデルのコンポーネントを組み合わせたマージ済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 指定された重みに従って、2つの入力モデルのコンポーネントを組み合わせたマージ済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeWAN2_1/ja.md) --- **Source fingerprint (SHA-256):** `d550a2f62bbcb4b46ccdd8a04fab80e93f96ea63426d48acb3515d51175efc99` diff --git a/ja/built-in-nodes/ModelNoiseScale.mdx b/ja/built-in-nodes/ModelNoiseScale.mdx index 5825d8047..bd3cb184e 100644 --- a/ja/built-in-nodes/ModelNoiseScale.mdx +++ b/ja/built-in-nodes/ModelNoiseScale.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ModelNoiseScale" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,16 +13,18 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | ノイズスケール調整を適用するモデルです。 | -| `ノイズスケール` | FLOAT | はい | 0.0 ～ 64.0（ステップ: 0.01） | 絶対的なトレーニングノイズスケールです。例：HiDream-O1 base: 8.0、dev: 7.5（デフォルト: 1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | ノイズスケール調整を適用するモデルです。 | MODEL | はい | - | +| `ノイズスケール` | 絶対的なトレーニングノイズスケールです。例：HiDream-O1 base: 8.0、dev: 7.5（デフォルト: 1.0） | FLOAT | はい | 0.0 ～ 64.0（ステップ: 0.01） | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MODEL` | MODEL | 新しいノイズスケールが適用された変更済みモデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MODEL` | 新しいノイズスケールが適用された変更済みモデルです。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/ja.md) --- **Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190` diff --git a/ja/built-in-nodes/ModelPatchLoader.mdx b/ja/built-in-nodes/ModelPatchLoader.mdx index 0e83a365c..8e191b896 100644 --- a/ja/built-in-nodes/ModelPatchLoader.mdx +++ b/ja/built-in-nodes/ModelPatchLoader.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ModelPatchLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelPatchLoader/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 ## 概要 @@ -14,15 +12,17 @@ ModelPatchLoaderノードは、model_patchesフォルダから特殊なモデル ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `名前` | STRING | はい | model_patchesフォルダ内の利用可能なすべてのモデルパッチファイル | model_patchesディレクトリから読み込むモデルパッチのファイル名 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `名前` | model_patchesディレクトリから読み込むモデルパッチのファイル名 | STRING | はい | model_patchesフォルダ内の利用可能なすべてのモデルパッチファイル | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MODEL_PATCH` | MODEL_PATCH | ワークフローで使用するためにModelPatcherにラップされた、読み込まれたモデルパッチ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MODEL_PATCH` | ワークフローで使用するためにModelPatcherにラップされた、読み込まれたモデルパッチ | MODEL_PATCH | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelPatchLoader/ja.md) --- **Source fingerprint (SHA-256):** `e394e165cf416019ed53d9fde42d97c3c9b9f9afd843b12371a624467a4841bf` diff --git a/ja/built-in-nodes/ModelSamplingAuraFlow.mdx b/ja/built-in-nodes/ModelSamplingAuraFlow.mdx index d479067d3..db5355b20 100644 --- a/ja/built-in-nodes/ModelSamplingAuraFlow.mdx +++ b/ja/built-in-nodes/ModelSamplingAuraFlow.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ModelSamplingAuraFlow" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingAuraFlow/ja.md) - ModelSamplingAuraFlow ノードは、拡散モデルに特殊なサンプリング設定を適用します。このノードは特に AuraFlow モデルアーキテクチャ向けに設計されており、サンプリング分布を調整するシフトパラメータを適用することで、モデルのサンプリング動作を変更します。SD3 モデルサンプリングフレームワークを継承し、サンプリングプロセスを細かく制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | AuraFlow サンプリング設定を適用する拡散モデル | -| `シフト` | FLOAT | はい | 0.0～100.0 | サンプリング分布に適用するシフト値（デフォルト：1.73） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | AuraFlow サンプリング設定を適用する拡散モデル | MODEL | はい | - | +| `シフト` | サンプリング分布に適用するシフト値（デフォルト：1.73） | FLOAT | はい | 0.0～100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | AuraFlow サンプリング設定が適用された変更後のモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | AuraFlow サンプリング設定が適用された変更後のモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingAuraFlow/ja.md) --- **Source fingerprint (SHA-256):** `f49367534032fb2d697d16e8197c16dc761678a5e39990993bdc864bfccea314` diff --git a/ja/built-in-nodes/ModelSamplingContinuousEDM.mdx b/ja/built-in-nodes/ModelSamplingContinuousEDM.mdx index 6dd50c9e3..098462268 100644 --- a/ja/built-in-nodes/ModelSamplingContinuousEDM.mdx +++ b/ja/built-in-nodes/ModelSamplingContinuousEDM.mdx @@ -5,21 +5,21 @@ sidebarTitle: "ModelSamplingContinuousEDM" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousEDM/ja.md) - このノードは、連続EDM（エネルギーベース拡散モデル）サンプリング技術を統合することで、モデルのサンプリング機能を強化するために設計されています。これにより、モデルのサンプリングプロセス内でノイズレベルを動的に調整でき、生成品質と多様性をより精密に制御できるようになります。 ## 入力 -| パラメータ | データ型 | Python dtype | 説明 | -|-------------|--------------|----------------------|-------------| -| `モデル` | `MODEL` | `torch.nn.Module` | 連続EDMサンプリング機能で強化されるモデルです。高度なサンプリング技術を適用するための基盤となります。 | -| `サンプリング` | COMBO[STRING] | `str` | 適用するサンプリングの種類を指定します。'eps'はイプシロンサンプリング、'v_prediction'は速度予測を表し、サンプリングプロセス中のモデルの動作に影響を与えます。 | -| `sigma_max` | `FLOAT` | `float` | ノイズレベルの最大シグマ値です。サンプリング中のノイズ注入プロセスにおける上限を制御できます。 | -| `sigma_min` | `FLOAT` | `float` | ノイズレベルの最小シグマ値です。ノイズ注入の下限を設定し、モデルのサンプリング精度に影響を与えます。 | +| パラメータ | 説明 | データ型 | Python dtype | +| --- | --- | --- | --- | +| `モデル` | 連続EDMサンプリング機能で強化されるモデルです。高度なサンプリング技術を適用するための基盤となります。 | `MODEL` | `torch.nn.Module` | +| `サンプリング` | 適用するサンプリングの種類を指定します。'eps'はイプシロンサンプリング、'v_prediction'は速度予測を表し、サンプリングプロセス中のモデルの動作に影響を与えます。 | COMBO[STRING] | `str` | +| `sigma_max` | ノイズレベルの最大シグマ値です。サンプリング中のノイズ注入プロセスにおける上限を制御できます。 | `FLOAT` | `float` | +| `sigma_min` | ノイズレベルの最小シグマ値です。ノイズ注入の下限を設定し、モデルのサンプリング精度に影響を与えます。 | `FLOAT` | `float` | ## 出力 -| パラメータ | データ型 | Python dtype | 説明 | -|-----------|-------------|----------------------|-------------| -| `モデル` | MODEL | `torch.nn.Module` | 連続EDMサンプリング機能が統合された強化済みモデルです。生成タスクでさらに使用できる状態になっています。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | Python dtype | +| --- | --- | --- | --- | +| `モデル` | 連続EDMサンプリング機能が統合された強化済みモデルです。生成タスクでさらに使用できる状態になっています。 | MODEL | `torch.nn.Module` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousEDM/ja.md) diff --git a/ja/built-in-nodes/ModelSamplingContinuousV.mdx b/ja/built-in-nodes/ModelSamplingContinuousV.mdx index e2df08924..f2a88164a 100644 --- a/ja/built-in-nodes/ModelSamplingContinuousV.mdx +++ b/ja/built-in-nodes/ModelSamplingContinuousV.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ModelSamplingContinuousV" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousV/ja.md) - ModelSamplingContinuousV ノードは、連続的な V 予測サンプリングパラメータを適用することで、モデルのサンプリング動作を変更します。入力モデルのクローンを作成し、高度なサンプリング制御のためのカスタムシグマ範囲設定で構成します。これにより、ユーザーは最小および最大シグマ値を指定してサンプリングプロセスを微調整できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | 連続的な V 予測サンプリングで変更する入力モデル | -| `サンプリング` | STRING | はい | `"v_prediction"` | 適用するサンプリング方法（現在は V 予測のみサポート） | -| `sigma_max` | FLOAT | はい | 0.0 - 1000.0 | サンプリングの最大シグマ値（デフォルト: 500.0） | -| `sigma_min` | FLOAT | はい | 0.0 - 1000.0 | サンプリングの最小シグマ値（デフォルト: 0.03） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 連続的な V 予測サンプリングで変更する入力モデル | MODEL | はい | - | +| `サンプリング` | 適用するサンプリング方法（現在は V 予測のみサポート） | STRING | はい | `"v_prediction"` | +| `sigma_max` | サンプリングの最大シグマ値（デフォルト: 500.0） | FLOAT | はい | 0.0 - 1000.0 | +| `sigma_min` | サンプリングの最小シグマ値（デフォルト: 0.03） | FLOAT | はい | 0.0 - 1000.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 連続的な V 予測サンプリングが適用された変更後のモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 連続的な V 予測サンプリングが適用された変更後のモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousV/ja.md) --- **Source fingerprint (SHA-256):** `8095b5024c0d33011f6a81ed496cf1711981701e0f35f9527646b150f5033d45` diff --git a/ja/built-in-nodes/ModelSamplingDiscrete.mdx b/ja/built-in-nodes/ModelSamplingDiscrete.mdx index 94db3e034..3c8afbefd 100644 --- a/ja/built-in-nodes/ModelSamplingDiscrete.mdx +++ b/ja/built-in-nodes/ModelSamplingDiscrete.mdx @@ -5,20 +5,20 @@ sidebarTitle: "ModelSamplingDiscrete" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingDiscrete/ja.md) - このノードは、離散サンプリング戦略を適用することでモデルのサンプリング動作を変更するように設計されています。イプシロン、v_prediction、lcm、x0などの異なるサンプリング方法を選択でき、オプションでゼロショットノイズ比（zsnr）設定に基づいてモデルのノイズ低減戦略を調整します。 ## 入力 -| パラメータ | データ型 | Python dtype | 説明 | -|-----------|--------------|-------------------|-------------| -| `モデル` | MODEL | `torch.nn.Module` | 離散サンプリング戦略が適用されるモデルです。このパラメータは、変更の対象となるベースモデルを定義するため、非常に重要です。 | -| `サンプリング`| COMBO[STRING] | `str` | モデルに適用する離散サンプリング方法を指定します。選択した方法によってモデルのサンプル生成方法が変化し、異なるサンプリング戦略を提供します。 | -| `zsnr` | `BOOLEAN` | `bool` | 有効にすると、ゼロショットノイズ比に基づいてモデルのノイズ低減戦略を調整するブール値フラグです。生成されるサンプルの品質や特性に影響を与える可能性があります。 | +| パラメータ | 説明 | データ型 | Python dtype | +| --- | --- | --- | --- | +| `モデル` | 離散サンプリング戦略が適用されるモデルです。このパラメータは、変更の対象となるベースモデルを定義するため、非常に重要です。 | MODEL | `torch.nn.Module` | +| `サンプリング` | モデルに適用する離散サンプリング方法を指定します。選択した方法によってモデルのサンプル生成方法が変化し、異なるサンプリング戦略を提供します。 | COMBO[STRING] | `str` | +| `zsnr` | 有効にすると、ゼロショットノイズ比に基づいてモデルのノイズ低減戦略を調整するブール値フラグです。生成されるサンプルの品質や特性に影響を与える可能性があります。 | `BOOLEAN` | `bool` | ## 出力 -| パラメータ | データ型 | Python dtype | 説明 | -|-----------|-------------|-------------------|-------------| -| `モデル` | MODEL | `torch.nn.Module` | 指定された離散サンプリング戦略が適用された変更済みモデルです。このモデルは、指定された方法と調整を使用してサンプルを生成できるようになります。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | Python dtype | +| --- | --- | --- | --- | +| `モデル` | 指定された離散サンプリング戦略が適用された変更済みモデルです。このモデルは、指定された方法と調整を使用してサンプルを生成できるようになります。 | MODEL | `torch.nn.Module` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingDiscrete/ja.md) diff --git a/ja/built-in-nodes/ModelSamplingFlux.mdx b/ja/built-in-nodes/ModelSamplingFlux.mdx index 4f8e29600..98a35f21a 100644 --- a/ja/built-in-nodes/ModelSamplingFlux.mdx +++ b/ja/built-in-nodes/ModelSamplingFlux.mdx @@ -5,27 +5,27 @@ sidebarTitle: "ModelSamplingFlux" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingFlux/ja.md) - 以下が翻訳結果です。 ModelSamplingFlux ノードは、画像の寸法に基づいてシフトパラメータを計算し、Flux モデルのサンプリングを指定されたモデルに適用します。このノードは、指定された幅、高さ、およびシフトパラメータに応じてモデルの動作を調整する特殊なサンプリング設定を作成し、新しいサンプリング設定が適用された変更済みモデルを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | Flux サンプリングを適用するモデル | -| `最大シフト` | FLOAT | はい | 0.0 - 100.0 | サンプリング計算の最大シフト値（デフォルト：1.15） | -| `基本シフト` | FLOAT | はい | 0.0 - 100.0 | サンプリング計算のベースシフト値（デフォルト：0.5） | -| `幅` | INT | はい | 16 - MAX_RESOLUTION | 対象画像の幅（ピクセル単位）（デフォルト：1024） | -| `高さ` | INT | はい | 16 - MAX_RESOLUTION | 対象画像の高さ（ピクセル単位）（デフォルト：1024） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | Flux サンプリングを適用するモデル | MODEL | はい | - | +| `最大シフト` | サンプリング計算の最大シフト値（デフォルト：1.15） | FLOAT | はい | 0.0 - 100.0 | +| `基本シフト` | サンプリング計算のベースシフト値（デフォルト：0.5） | FLOAT | はい | 0.0 - 100.0 | +| `幅` | 対象画像の幅（ピクセル単位）（デフォルト：1024） | INT | はい | 16 - MAX_RESOLUTION | +| `高さ` | 対象画像の高さ（ピクセル単位）（デフォルト：1024） | INT | はい | 16 - MAX_RESOLUTION | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | Flux サンプリング設定が適用された変更済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | Flux サンプリング設定が適用された変更済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingFlux/ja.md) --- **Source fingerprint (SHA-256):** `35733ab0cd032884ceada13715cf51e626586844e8e575471a5ba7cf8a1e5e49` diff --git a/ja/built-in-nodes/ModelSamplingLTXV.mdx b/ja/built-in-nodes/ModelSamplingLTXV.mdx index 65e024b89..12fa553e0 100644 --- a/ja/built-in-nodes/ModelSamplingLTXV.mdx +++ b/ja/built-in-nodes/ModelSamplingLTXV.mdx @@ -5,26 +5,26 @@ sidebarTitle: "ModelSamplingLTXV" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingLTXV/ja.md) - 以下が翻訳結果です。 ModelSamplingLTXV ノードは、トークン数に基づいて高度なサンプリングパラメータをモデルに適用します。ベースシフト値と最大シフト値の間の線形補間を使用してシフト値を計算し、その計算は入力潜在変数のトークン数に依存します。その後、ノードは特殊なモデルサンプリング設定を作成し、それを入力モデルに適用します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | サンプリングパラメータを適用する入力モデル | -| `最大シフト` | FLOAT | はい | 0.0 ～ 100.0 | 線形補間計算で使用される最大シフト値（デフォルト: 2.05） | -| `基本シフト` | FLOAT | はい | 0.0 ～ 100.0 | 線形補間計算で使用されるベースシフト値（デフォルト: 0.95） | -| `潜在` | LATENT | いいえ | - | シフト計算のトークン数を決定するために使用されるオプションの潜在入力。指定しない場合、デフォルトのトークン数 4096 が使用されます | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | サンプリングパラメータを適用する入力モデル | MODEL | はい | - | +| `最大シフト` | 線形補間計算で使用される最大シフト値（デフォルト: 2.05） | FLOAT | はい | 0.0 ～ 100.0 | +| `基本シフト` | 線形補間計算で使用されるベースシフト値（デフォルト: 0.95） | FLOAT | はい | 0.0 ～ 100.0 | +| `潜在` | シフト計算のトークン数を決定するために使用されるオプションの潜在入力。指定しない場合、デフォルトのトークン数 4096 が使用されます | LATENT | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 適用されたサンプリングパラメータを持つ変更済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 適用されたサンプリングパラメータを持つ変更済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingLTXV/ja.md) --- **Source fingerprint (SHA-256):** `2325754df1b2541a6adbdebecefde92e08535af0e179d7444093a61eb35cb24c` diff --git a/ja/built-in-nodes/ModelSamplingSD3.mdx b/ja/built-in-nodes/ModelSamplingSD3.mdx index 92700f142..5a8f33f3f 100644 --- a/ja/built-in-nodes/ModelSamplingSD3.mdx +++ b/ja/built-in-nodes/ModelSamplingSD3.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ModelSamplingSD3" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingSD3/ja.md) - ModelSamplingSD3 ノードは、Stable Diffusion 3 のサンプリングパラメータをモデルに適用します。シフトパラメータを調整することでモデルのサンプリング動作を変更し、サンプリング分布の特性を制御します。このノードは、指定されたサンプリング設定を適用した、入力モデルの変更済みコピーを作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | SD3 サンプリングパラメータを適用する入力モデル | -| `シフト` | FLOAT | はい | 0.0～100.0 | サンプリングのシフトパラメータを制御します（デフォルト：3.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | SD3 サンプリングパラメータを適用する入力モデル | MODEL | はい | - | +| `シフト` | サンプリングのシフトパラメータを制御します（デフォルト：3.0） | FLOAT | はい | 0.0～100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | SD3 サンプリングパラメータが適用された変更済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | SD3 サンプリングパラメータが適用された変更済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingSD3/ja.md) --- **Source fingerprint (SHA-256):** `aa2172d578badffb0a728308b0d3aae4d048db074336963965264d5e512a0d93` diff --git a/ja/built-in-nodes/ModelSamplingStableCascade.mdx b/ja/built-in-nodes/ModelSamplingStableCascade.mdx index 1c4b7ec30..6899178f2 100644 --- a/ja/built-in-nodes/ModelSamplingStableCascade.mdx +++ b/ja/built-in-nodes/ModelSamplingStableCascade.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ModelSamplingStableCascade" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingStableCascade/ja.md) - 以下が翻訳結果です。 ModelSamplingStableCascade ノードは、シフト値を使用してサンプリングパラメータを調整することにより、モデルに安定カスケードサンプリングを適用します。安定カスケード生成用のカスタムサンプリング設定を備えた、入力モデルの修正バージョンを作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `モデル` | MODEL | はい | - | 安定カスケードサンプリングを適用する入力モデル | -| `シフト` | FLOAT | はい | 0.0 - 100.0 | サンプリングパラメータに適用するシフト値（デフォルト：2.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 安定カスケードサンプリングを適用する入力モデル | MODEL | はい | - | +| `シフト` | サンプリングパラメータに適用するシフト値（デフォルト：2.0） | FLOAT | はい | 0.0 - 100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `モデル` | MODEL | 安定カスケードサンプリングが適用された修正済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 安定カスケードサンプリングが適用された修正済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingStableCascade/ja.md) --- **Source fingerprint (SHA-256):** `2d0a342fff05434c8fe78999187bd31dbee7deb6f4447759a489102a8ce277de` diff --git a/ja/built-in-nodes/ModelSave.mdx b/ja/built-in-nodes/ModelSave.mdx index 3fb253ef9..b22357e2a 100644 --- a/ja/built-in-nodes/ModelSave.mdx +++ b/ja/built-in-nodes/ModelSave.mdx @@ -5,26 +5,26 @@ sidebarTitle: "ModelSave" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSave/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSave/en.md) ModelSaveノードは、トレーニングまたは変更されたモデルをコンピューターのストレージに保存します。モデルを入力として受け取り、指定されたファイル名でファイルに書き込みます。これにより、作業内容を保存し、将来のプロジェクトでモデルを再利用できるようになります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | ディスクに保存するモデル | -| `ファイル名プレフィックス` | STRING | はい | - | 保存するモデルファイルのファイル名とパスのプレフィックス（デフォルト："diffusion_models/ComfyUI"） | -| `prompt` | PROMPT | いいえ | - | ワークフローのプロンプト情報（自動的に提供されます） | -| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | 追加のワークフローメタデータ（自動的に提供されます） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | ディスクに保存するモデル | MODEL | はい | - | +| `ファイル名プレフィックス` | 保存するモデルファイルのファイル名とパスのプレフィックス（デフォルト："diffusion_models/ComfyUI"） | STRING | はい | - | +| `prompt` | ワークフローのプロンプト情報（自動的に提供されます） | PROMPT | いいえ | - | +| `extra_pnginfo` | 追加のワークフローメタデータ（自動的に提供されます） | EXTRA_PNGINFO | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| *なし* | - | このノードは出力値を返しません | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| *なし* | このノードは出力値を返しません | - | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSave/ja.md) --- **Source fingerprint (SHA-256):** `1dda8a6d85aa19b739c1fe3e6e7f816e05011044fc8b0b91b23fa303f71d8b19` diff --git a/ja/built-in-nodes/MoonvalleyImg2VideoNode.mdx b/ja/built-in-nodes/MoonvalleyImg2VideoNode.mdx index 95a79ed51..4de9c1c6c 100644 --- a/ja/built-in-nodes/MoonvalleyImg2VideoNode.mdx +++ b/ja/built-in-nodes/MoonvalleyImg2VideoNode.mdx @@ -5,23 +5,21 @@ sidebarTitle: "MoonvalleyImg2VideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyImg2VideoNode/ja.md) - 以下が翻訳結果です。 Moonvalley Marey 画像から動画へのノードは、Moonvalley API を使用して参照画像を動画に変換します。入力画像とテキストプロンプトを受け取り、指定された解像度、品質設定、およびクリエイティブコントロールに基づいて動画を生成します。このノードは、画像のアップロードから動画の生成、ダウンロードまでのプロセス全体を処理します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 動画生成に使用する参照画像 | -| `prompt` | STRING | はい | - | 動画生成のためのテキストによる説明（複数行入力可能） | -| `negative_prompt` | STRING | いいえ | - | 不要な要素を除外するためのネガティブプロンプトテキスト（デフォルト: 広範なネガティブプロンプトリスト） | -| `resolution` | COMBO | いいえ | "16:9 (1920 x 1080)"
"9:16 (1080 x 1920)"
"1:1 (1152 x 1152)"
"4:3 (1536 x 1152)"
"3:4 (1152 x 1536)" | 出力動画の解像度（デフォルト: "16:9 (1920 x 1080)"） | -| `prompt_adherence` | FLOAT | いいえ | 1.0 - 20.0 | 生成制御のためのガイダンススケール（デフォルト: 4.5、ステップ: 1.0） | -| `seed` | INT | いいえ | 0 - 4294967295 | ランダムシード値（デフォルト: 9、生成後のコントロール有効） | -| `steps` | INT | いいえ | 1 - 100 | ノイズ除去ステップ数（デフォルト: 33、ステップ: 1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | 動画生成に使用する参照画像 | IMAGE | はい | - | +| `prompt` | 動画生成のためのテキストによる説明（複数行入力可能） | STRING | はい | - | +| `negative_prompt` | 不要な要素を除外するためのネガティブプロンプトテキスト（デフォルト: 広範なネガティブプロンプトリスト） | STRING | いいえ | - | +| `resolution` | 出力動画の解像度（デフォルト: "16:9 (1920 x 1080)"） | COMBO | いいえ | "16:9 (1920 x 1080)"
"9:16 (1080 x 1920)"
"1:1 (1152 x 1152)"
"4:3 (1536 x 1152)"
"3:4 (1152 x 1536)" | +| `prompt_adherence` | 生成制御のためのガイダンススケール（デフォルト: 4.5、ステップ: 1.0） | FLOAT | いいえ | 1.0 - 20.0 | +| `seed` | ランダムシード値（デフォルト: 9、生成後のコントロール有効） | INT | いいえ | 0 - 4294967295 | +| `steps` | ノイズ除去ステップ数（デフォルト: 33、ステップ: 1） | INT | いいえ | 1 - 100 | **制約事項:** @@ -30,9 +28,11 @@ Moonvalley Marey 画像から動画へのノードは、Moonvalley API を使用 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画出力 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画出力 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyImg2VideoNode/ja.md) --- **Source fingerprint (SHA-256):** `674e69a7f106f6f961f10c179008b7bb1147bf0e569c72d207a105f3fab2aaf5` diff --git a/ja/built-in-nodes/MoonvalleyTxt2VideoNode.mdx b/ja/built-in-nodes/MoonvalleyTxt2VideoNode.mdx index 128c3e790..e21948cc4 100644 --- a/ja/built-in-nodes/MoonvalleyTxt2VideoNode.mdx +++ b/ja/built-in-nodes/MoonvalleyTxt2VideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MoonvalleyTxt2VideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyTxt2VideoNode/ja.md) - あなたは ComfyUI ノードドキュメントを英語から日本語に翻訳する技術翻訳の専門家です。 ## 翻訳ルール @@ -39,20 +37,22 @@ Moonvalley Marey Text to Video ノードは、Moonvalley API を使用してテ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 生成する動画コンテンツのテキスト記述 | -| `negative_prompt` | STRING | いいえ | - | ネガティブプロンプトテキスト（デフォルト：合成、シーンカット、アーティファクト、ノイズなどの除外要素の広範なリスト） | -| `resolution` | STRING | いいえ | "16:9 (1920 x 1080)"
"9:16 (1080 x 1920)"
"1:1 (1152 x 1152)"
"4:3 (1536 x 1152)"
"3:4 (1152 x 1536)"
"21:9 (2560 x 1080)" | 出力動画の解像度（デフォルト："16:9 (1920 x 1080)"） | -| `prompt_adherence` | FLOAT | いいえ | 1.0-20.0 | 生成制御のためのガイダンススケール（デフォルト：4.0） | -| `seed` | INT | いいえ | 0-4294967295 | ランダムシード値（デフォルト：9） | -| `steps` | INT | いいえ | 1-100 | 推論ステップ数（デフォルト：33） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | 生成する動画コンテンツのテキスト記述 | STRING | はい | - | +| `negative_prompt` | ネガティブプロンプトテキスト（デフォルト：合成、シーンカット、アーティファクト、ノイズなどの除外要素の広範なリスト） | STRING | いいえ | - | +| `resolution` | 出力動画の解像度（デフォルト："16:9 (1920 x 1080)"） | STRING | いいえ | "16:9 (1920 x 1080)"
"9:16 (1080 x 1920)"
"1:1 (1152 x 1152)"
"4:3 (1536 x 1152)"
"3:4 (1152 x 1536)"
"21:9 (2560 x 1080)" | +| `prompt_adherence` | 生成制御のためのガイダンススケール（デフォルト：4.0） | FLOAT | いいえ | 1.0-20.0 | +| `seed` | ランダムシード値（デフォルト：9） | INT | いいえ | 0-4294967295 | +| `steps` | 推論ステップ数（デフォルト：33） | INT | いいえ | 1-100 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video` | VIDEO | テキストプロンプトに基づいて生成された動画出力 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video` | テキストプロンプトに基づいて生成された動画出力 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyTxt2VideoNode/ja.md) --- **Source fingerprint (SHA-256):** `3654043567d7aca3af741d706ee07a8d2e28dbeb4b5b8755514b790aa7c1bd41` diff --git a/ja/built-in-nodes/MoonvalleyVideo2VideoNode.mdx b/ja/built-in-nodes/MoonvalleyVideo2VideoNode.mdx index 349512ffa..a922e4ce4 100644 --- a/ja/built-in-nodes/MoonvalleyVideo2VideoNode.mdx +++ b/ja/built-in-nodes/MoonvalleyVideo2VideoNode.mdx @@ -5,31 +5,31 @@ sidebarTitle: "MoonvalleyVideo2VideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyVideo2VideoNode/ja.md) - 以下が翻訳結果です。 Moonvalley Marey Video to Video ノードは、入力された動画をテキスト記述に基づいて新しい動画に変換します。このノードは Moonvalley API を使用して、元の動画の動きやポーズの特徴を保持しつつ、プロンプトに一致する動画を生成します。テキストプロンプトや各種生成パラメータを通じて、出力動画のスタイルや内容を制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 生成する動画を説明するテキスト（複数行入力可能） | -| `negative_prompt` | STRING | いいえ | - | ネガティブプロンプトのテキスト（デフォルト: 広範なネガティブ記述子のリスト） | -| `seed` | INT | はい | 0 ～ 4294967295 | ランダムシード値（デフォルト: 9） | -| `video` | VIDEO | はい | - | 出力動画の生成に使用する参照動画。最低5秒以上の長さが必要です。5秒を超える動画は自動的にトリミングされます。MP4形式のみ対応。 | -| `control_type` | COMBO | いいえ | "Motion Transfer"
"Pose Transfer" | 制御タイプの選択（デフォルト: "Motion Transfer"） | -| `motion_intensity` | INT | いいえ | 0 ～ 100 | control_type が "Motion Transfer" の場合のみ使用されます（デフォルト: 100） | -| `steps` | INT | はい | 1 ～ 100 | 推論ステップ数（デフォルト: 33） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | 生成する動画を説明するテキスト（複数行入力可能） | STRING | はい | - | +| `negative_prompt` | ネガティブプロンプトのテキスト（デフォルト: 広範なネガティブ記述子のリスト） | STRING | いいえ | - | +| `seed` | ランダムシード値（デフォルト: 9） | INT | はい | 0 ～ 4294967295 | +| `video` | 出力動画の生成に使用する参照動画。最低5秒以上の長さが必要です。5秒を超える動画は自動的にトリミングされます。MP4形式のみ対応。 | VIDEO | はい | - | +| `control_type` | 制御タイプの選択（デフォルト: "Motion Transfer"） | COMBO | いいえ | "Motion Transfer"
"Pose Transfer" | +| `motion_intensity` | control_type が "Motion Transfer" の場合のみ使用されます（デフォルト: 100） | INT | いいえ | 0 ～ 100 | +| `steps` | 推論ステップ数（デフォルト: 33） | INT | はい | 1 ～ 100 | **注記:** `motion_intensity` パラメータは、`control_type` が "Motion Transfer" に設定されている場合のみ適用されます。"Pose Transfer" を使用する場合、このパラメータは無視されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画出力 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画出力 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyVideo2VideoNode/ja.md) --- **Source fingerprint (SHA-256):** `8202a4be469afa16d77b9e0287c290b9c3f390347fc60f23878f50fd95a758e0` diff --git a/ja/built-in-nodes/Morphology.mdx b/ja/built-in-nodes/Morphology.mdx index fc23de885..774e99375 100644 --- a/ja/built-in-nodes/Morphology.mdx +++ b/ja/built-in-nodes/Morphology.mdx @@ -5,25 +5,25 @@ sidebarTitle: "Morphology" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Morphology/ja.md) - 以下が翻訳結果です。 ## 概要 形態変換ノードは、画像内の形状を処理・解析するための数学的操作である、さまざまな形態変換処理を画像に適用します。このノードでは、収縮、膨張、オープニング、クロージングなどの処理を、カスタマイズ可能なカーネルサイズで実行し、効果の強さを制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 処理する入力画像 | -| `操作` | STRING | はい | `"erode"`
`"dilate"`
`"open"`
`"close"`
`"gradient"`
`"bottom_hat"`
`"top_hat"` | 適用する形態変換処理（デフォルト："erode"） | -| `カーネルサイズ` | INT | はい | 3-999 | 構造要素カーネルのサイズ（デフォルト：3）。奇数である必要があります。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 処理する入力画像 | IMAGE | はい | - | +| `操作` | 適用する形態変換処理（デフォルト："erode"） | STRING | はい | `"erode"`
`"dilate"`
`"open"`
`"close"`
`"gradient"`
`"bottom_hat"`
`"top_hat"` | +| `カーネルサイズ` | 構造要素カーネルのサイズ（デフォルト：3）。奇数である必要があります。 | INT | はい | 3-999 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 形態変換処理を適用した後の処理済み画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 形態変換処理を適用した後の処理済み画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Morphology/ja.md) --- **Source fingerprint (SHA-256):** `7f6224a0e58fbb7263267b377394e119c6f8d65d16af4ce492ca9504654af7b4` diff --git a/ja/built-in-nodes/MultiGPU_Options.mdx b/ja/built-in-nodes/MultiGPU_Options.mdx index a9ac0188e..766fc5ed8 100644 --- a/ja/built-in-nodes/MultiGPU_Options.mdx +++ b/ja/built-in-nodes/MultiGPU_Options.mdx @@ -5,27 +5,27 @@ sidebarTitle: "MultiGPU_Options" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_Options/ja.md) - ## 概要 このノードを使用すると、速度の異なる複数のグラフィックカードを使用する際に、各GPUの相対的なパフォーマンスを指定できます。複数のデバイス間で処理を分散するために使用できるGPUオプションのグループを作成しますが、現在のバージョンでは速度に基づいた処理負荷の分散はまだ実装されていません。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `device_index` | INT | はい | 0 から 64 | 設定するGPUデバイスのインデックス番号（デフォルト：0） | -| `relative_speed` | FLOAT | はい | 0.0 から 無制限 | 他のGPUと比較したこのGPUの相対的な速度。処理負荷の分散に使用されます（デフォルト：1.0、ステップ：0.01） | -| `gpu_options` | GPU_OPTIONS | いいえ | - | このデバイスのオプションを追加する既存のGPUオプショングループ。指定しない場合は新しいグループが作成されます | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `device_index` | 設定するGPUデバイスのインデックス番号（デフォルト：0） | INT | はい | 0 から 64 | +| `relative_speed` | 他のGPUと比較したこのGPUの相対的な速度。処理負荷の分散に使用されます（デフォルト：1.0、ステップ：0.01） | FLOAT | はい | 0.0 から 無制限 | +| `gpu_options` | このデバイスのオプションを追加する既存のGPUオプショングループ。指定しない場合は新しいグループが作成されます | GPU_OPTIONS | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `GPU_OPTIONS` | GPU_OPTIONS | 設定されたデバイス設定を含むGPUオプションのグループ。マルチGPU操作のために他のノードに渡すことができます | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `GPU_OPTIONS` | 設定されたデバイス設定を含むGPUオプションのグループ。マルチGPU操作のために他のノードに渡すことができます | GPU_OPTIONS | **注意：** `relative_speed` パラメータは定義されていますが、内部スケジューラによるGPU間の処理分散にはまだ使用されていません。現在の実装では、各デバイスの相対速度に関係なく、すべてのデバイスに均等に処理が分散されます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_Options/ja.md) + --- **Source fingerprint (SHA-256):** `8010460560a69c57d4ee0d8c3728a7a5d999e56ef5316b557fba0c660c9f38b0` diff --git a/ja/built-in-nodes/MultiGPU_WorkUnits.mdx b/ja/built-in-nodes/MultiGPU_WorkUnits.mdx index c0670826a..5ffe84d86 100644 --- a/ja/built-in-nodes/MultiGPU_WorkUnits.mdx +++ b/ja/built-in-nodes/MultiGPU_WorkUnits.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MultiGPU_WorkUnits" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_WorkUnits/ja.md) - ## 概要 MultiGPU CFG Split ノードは、同じPCに入っている複数のGPUで拡散サンプリングを分担できるようにします。実際の速度向上はワークフローによって変わりますが、一般的なワークフローでは最大で約1.95倍の高速化が確認されています。 @@ -35,16 +33,16 @@ Ampere以降のアーキテクチャを使った、同一GPU 2枚構成に対応 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | なし | サンプリング前に、MultiGPU CFG 分割用として準備するモデルです。 | -| `max_gpus` | INT | はい | 最小: 1
ステップ: 1
デフォルト: 2 | 負荷分散に使う同一GPUの最大数です。通常は、PCに入っている同型GPUの枚数に合わせて設定します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | サンプリング前に、MultiGPU CFG 分割用として準備するモデルです。 | MODEL | はい | なし | +| `max_gpus` | 負荷分散に使う同一GPUの最大数です。通常は、PCに入っている同型GPUの枚数に合わせて設定します。 | INT | はい | 最小: 1
ステップ: 1
デフォルト: 2 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MODEL` | MODEL | MultiGPU CFG 分割用に準備され、すぐに高速サンプリングへ使えるモデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MODEL` | MultiGPU CFG 分割用に準備され、すぐに高速サンプリングへ使えるモデルです。 | MODEL | ## ノード配置とワークフローの注意 @@ -68,5 +66,7 @@ MultiGPU CFG Split を有効にしたワークフローを実行したら、Wind [サンプルワークフロー（Wan 2.2 FP8）](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/MultiGPU_WorkUnits/asset/video_wan2_2_14B_t2v_mGPU.json) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_WorkUnits/ja.md) + --- **Source fingerprint (SHA-256):** `7293ee785e29aea9a1a70a10444b99e89fb23c866505628ec57c209a2b8aaee0` diff --git a/ja/built-in-nodes/NAGuidance.mdx b/ja/built-in-nodes/NAGuidance.mdx index 5789ca3eb..afd0e53ac 100644 --- a/ja/built-in-nodes/NAGuidance.mdx +++ b/ja/built-in-nodes/NAGuidance.mdx @@ -5,24 +5,24 @@ sidebarTitle: "NAGuidance" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NAGuidance/ja.md) - NAGuidance ノードは、モデルに正規化注意ガイダンス（Normalized Attention Guidance）を適用します。この技術により、サンプリングプロセス中にモデルの注意機構を変更して、生成を望ましくない概念から遠ざけることで、蒸留モデルや高速モデルでネガティブプロンプトを使用できるようになります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 正規化注意ガイダンスを適用するモデル。 | -| `nag_scale` | FLOAT | はい | 0.0 - 50.0 | ガイダンスのスケール係数。値が大きいほど、生成がネガティブプロンプトからさらに遠ざかります。（デフォルト：5.0） | -| `nag_alpha` | FLOAT | はい | 0.0 - 1.0 | 正規化された注意のブレンド係数。値が1.0の場合は元の注意を完全に置き換え、0.0の場合は効果がありません。（デフォルト：0.5） | -| `nag_tau` | FLOAT | はい | 1.0 - 10.0 | 正規化比率を制限するために使用されるスケーリング係数。（デフォルト：1.5） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 正規化注意ガイダンスを適用するモデル。 | MODEL | はい | - | +| `nag_scale` | ガイダンスのスケール係数。値が大きいほど、生成がネガティブプロンプトからさらに遠ざかります。（デフォルト：5.0） | FLOAT | はい | 0.0 - 50.0 | +| `nag_alpha` | 正規化された注意のブレンド係数。値が1.0の場合は元の注意を完全に置き換え、0.0の場合は効果がありません。（デフォルト：0.5） | FLOAT | はい | 0.0 - 1.0 | +| `nag_tau` | 正規化比率を制限するために使用されるスケーリング係数。（デフォルト：1.5） | FLOAT | はい | 1.0 - 10.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 正規化注意ガイダンスが有効になったパッチ適用済みモデル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 正規化注意ガイダンスが有効になったパッチ適用済みモデル。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NAGuidance/ja.md) --- **Source fingerprint (SHA-256):** `ea3d7fea94e62c8a0784887f3df9d8a503c3dbaa552bf860bd4dde1ae576fa9c` diff --git a/ja/built-in-nodes/NormalizeImages.mdx b/ja/built-in-nodes/NormalizeImages.mdx index 7d31ccd0e..cd7d0938d 100644 --- a/ja/built-in-nodes/NormalizeImages.mdx +++ b/ja/built-in-nodes/NormalizeImages.mdx @@ -5,23 +5,23 @@ sidebarTitle: "NormalizeImages" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeImages/ja.md) - このノードは、数学的な正規化処理を使用して入力画像のピクセル値を調整します。各ピクセルから指定された平均値を減算し、その結果を指定された標準偏差で除算します。これは、他の機械学習モデル用に画像データを準備するための一般的な前処理手順です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 正規化する入力画像です。 | -| `平均値` | FLOAT | いいえ | 0.0～1.0 | 正規化のための平均値です（デフォルト：0.5）。 | -| `標準偏差` | FLOAT | いいえ | 0.001～1.0 | 正規化のための標準偏差です（デフォルト：0.5）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | 正規化する入力画像です。 | IMAGE | はい | - | +| `平均値` | 正規化のための平均値です（デフォルト：0.5）。 | FLOAT | いいえ | 0.0～1.0 | +| `標準偏差` | 正規化のための標準偏差です（デフォルト：0.5）。 | FLOAT | いいえ | 0.001～1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | 正規化処理が適用された結果の画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 正規化処理が適用された結果の画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeImages/ja.md) --- **Source fingerprint (SHA-256):** `9d08c8dba7d13c6f255ed786d3d2d3005bce425dc04b14b7199d868c3fc81fd9` diff --git a/ja/built-in-nodes/NormalizeVideoLatentStart.mdx b/ja/built-in-nodes/NormalizeVideoLatentStart.mdx index 97fe6e897..040bfba16 100644 --- a/ja/built-in-nodes/NormalizeVideoLatentStart.mdx +++ b/ja/built-in-nodes/NormalizeVideoLatentStart.mdx @@ -5,25 +5,25 @@ sidebarTitle: "NormalizeVideoLatentStart" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/ja.md) - このノードは、ビデオ潜在表現の最初の数フレームを調整し、後続のフレームにより近い見た目にします。ビデオ内の後方にある参照フレーム群から平均と分散を計算し、それらと同じ特性を開始フレームに適用します。これにより、ビデオの開始部分でより滑らかで一貫性のある視覚的遷移を実現します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `latent` | LATENT | はい | - | 処理するビデオ潜在表現。 | -| `start_frame_count` | INT | はい | 1～16384 | 先頭から数えて正規化する潜在フレーム数（デフォルト：4）。 | -| `reference_frame_count` | INT | はい | 1～16384 | 開始フレームの後にある参照として使用する潜在フレーム数（デフォルト：5）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `latent` | 処理するビデオ潜在表現。 | LATENT | はい | - | +| `start_frame_count` | 先頭から数えて正規化する潜在フレーム数（デフォルト：4）。 | INT | はい | 1～16384 | +| `reference_frame_count` | 開始フレームの後にある参照として使用する潜在フレーム数（デフォルト：5）。 | INT | はい | 1～16384 | **注記：** `reference_frame_count` は、開始フレームの後に利用可能なフレーム数に自動的に制限されます。ビデオ潜在表現が1フレームのみの場合は正規化は実行されず、元の潜在表現がそのまま返されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `latent` | LATENT | 開始フレームが正規化された処理済みビデオ潜在表現。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 開始フレームが正規化された処理済みビデオ潜在表現。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/ja.md) --- **Source fingerprint (SHA-256):** `64844f3bf1735952334dcca3a829e8f666fd89e817ab66cf3c2dc04ecbbdff56` diff --git a/ja/built-in-nodes/Note.mdx b/ja/built-in-nodes/Note.mdx index b3d2873b6..31f0e53df 100644 --- a/ja/built-in-nodes/Note.mdx +++ b/ja/built-in-nodes/Note.mdx @@ -5,12 +5,12 @@ sidebarTitle: "Note" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Note/ja.md) - # ワークフローに注釈を追加するノードです。 ## 入力 ## 出力 -このノードには出力はありません。 \ No newline at end of file +このノードには出力はありません。 + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Note/ja.md) diff --git a/ja/built-in-nodes/OpenAIChatConfig.mdx b/ja/built-in-nodes/OpenAIChatConfig.mdx index b75401f73..2ad0cf638 100644 --- a/ja/built-in-nodes/OpenAIChatConfig.mdx +++ b/ja/built-in-nodes/OpenAIChatConfig.mdx @@ -5,23 +5,23 @@ sidebarTitle: "OpenAIChatConfig" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatConfig/ja.md) - OpenAIChatConfigノードは、OpenAI Chatノードに追加の設定オプションを提供します。このノードは、モデルが応答を生成する方法を制御する高度な設定を提供します。これには、トランケーション動作、出力長の制限、カスタム指示が含まれます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `切り捨て` | COMBO | はい | `"auto"`
`"disabled"` | モデル応答に使用するトランケーション戦略です。auto: この応答と以前の応答のコンテキストがモデルのコンテキストウィンドウサイズを超える場合、モデルは会話の中間にある入力項目を削除することで、応答をコンテキストウィンドウに収まるように切り詰めます。disabled: モデル応答がモデルのコンテキストウィンドウサイズを超える場合、リクエストは400エラーで失敗します（デフォルト: "auto"） | -| `最大出力トークン数` | INT | いいえ | 16 ～ 16384 | 応答に対して生成できるトークン数の上限です。表示される出力トークンも含まれます（デフォルト: 4096） | -| `指示` | STRING | いいえ | - | 応答を生成する方法に関するモデルへの指示です（複数行の入力に対応） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `切り捨て` | モデル応答に使用するトランケーション戦略です。auto: この応答と以前の応答のコンテキストがモデルのコンテキストウィンドウサイズを超える場合、モデルは会話の中間にある入力項目を削除することで、応答をコンテキストウィンドウに収まるように切り詰めます。disabled: モデル応答がモデルのコンテキストウィンドウサイズを超える場合、リクエストは400エラーで失敗します（デフォルト: "auto"） | COMBO | はい | `"auto"`
`"disabled"` | +| `最大出力トークン数` | 応答に対して生成できるトークン数の上限です。表示される出力トークンも含まれます（デフォルト: 4096） | INT | いいえ | 16 ～ 16384 | +| `指示` | 応答を生成する方法に関するモデルへの指示です（複数行の入力に対応） | STRING | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `OPENAI_CHAT_CONFIG` | OPENAI_CHAT_CONFIG | OpenAI Chatノードで使用するために、指定された設定を含む設定オブジェクト | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `OPENAI_CHAT_CONFIG` | OpenAI Chatノードで使用するために、指定された設定を含む設定オブジェクト | OPENAI_CHAT_CONFIG | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatConfig/ja.md) --- **Source fingerprint (SHA-256):** `6d956aa1bc7f822c18ddaa55cd2345dad947fd93833de25a957f49878484af97` diff --git a/ja/built-in-nodes/OpenAIChatNode.mdx b/ja/built-in-nodes/OpenAIChatNode.mdx index cb1b7f138..0c68152b5 100644 --- a/ja/built-in-nodes/OpenAIChatNode.mdx +++ b/ja/built-in-nodes/OpenAIChatNode.mdx @@ -5,26 +5,26 @@ sidebarTitle: "OpenAIChatNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatNode/ja.md) - このノードは、OpenAIモデルからテキスト応答を生成します。テキストプロンプト（およびオプションで画像やファイル）をOpenAIモデルに送信し、生成されたテキスト応答を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | モデルへのテキスト入力。応答の生成に使用されます（デフォルト：空） | -| `コンテキストの永続化` | BOOLEAN | はい | - | このパラメータは非推奨であり、効果はありません（デフォルト：False） | -| `モデル` | COMBO | はい | 複数のOpenAIモデルが利用可能 | 応答の生成に使用されるモデル | -| `画像` | IMAGE | いいえ | - | モデルのコンテキストとして使用するオプションの画像。複数の画像を含めるには、Batch Imagesノードを使用できます | -| `ファイル` | OPENAI_INPUT_FILES | いいえ | - | モデルのコンテキストとして使用するオプションのファイル。OpenAI Chat Input Filesノードからの入力を受け付けます | -| `詳細オプション` | OPENAI_CHAT_CONFIG | いいえ | - | モデルのオプション設定。OpenAI Chat Advanced Optionsノードからの入力を受け付けます | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | モデルへのテキスト入力。応答の生成に使用されます（デフォルト：空） | STRING | はい | - | +| `コンテキストの永続化` | このパラメータは非推奨であり、効果はありません（デフォルト：False） | BOOLEAN | はい | - | +| `モデル` | 応答の生成に使用されるモデル | COMBO | はい | 複数のOpenAIモデルが利用可能 | +| `画像` | モデルのコンテキストとして使用するオプションの画像。複数の画像を含めるには、Batch Imagesノードを使用できます | IMAGE | いいえ | - | +| `ファイル` | モデルのコンテキストとして使用するオプションのファイル。OpenAI Chat Input Filesノードからの入力を受け付けます | OPENAI_INPUT_FILES | いいえ | - | +| `詳細オプション` | モデルのオプション設定。OpenAI Chat Advanced Optionsノードからの入力を受け付けます | OPENAI_CHAT_CONFIG | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output_text` | STRING | OpenAIモデルによって生成されたテキスト応答 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output_text` | OpenAIモデルによって生成されたテキスト応答 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatNode/ja.md) --- **Source fingerprint (SHA-256):** `ea66b58b23305b0d97bfc76cc39cfdfe8e01b70edcbfd60c2c640a07ad507ee6` diff --git a/ja/built-in-nodes/OpenAIDalle2.mdx b/ja/built-in-nodes/OpenAIDalle2.mdx index 416e738e3..2d4266046 100644 --- a/ja/built-in-nodes/OpenAIDalle2.mdx +++ b/ja/built-in-nodes/OpenAIDalle2.mdx @@ -5,8 +5,6 @@ sidebarTitle: "OpenAIDalle2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle2/ja.md) - # OpenAIDalle2 OpenAIのDALL·E 2エンドポイントを介して画像を同期的に生成します。 @@ -17,20 +15,22 @@ OpenAIのDALL·E 2エンドポイントを介して画像を同期的に生成 ## 入力 -| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `プロンプト` | STRING | 必須 | "" | - | DALL·E用のテキストプロンプト | -| `シード` | INT | オプション | 0 | 0～2147483647 | バックエンドではまだ実装されていません | -| `サイズ` | COMBO | オプション | "1024x1024" | "256x256", "512x512", "1024x1024" | 画像サイズ | -| `生成数` | INT | オプション | 1 | 1～8 | 生成する画像の枚数 | -| `画像` | IMAGE | オプション | None | - | 画像編集用のオプションの参照画像 | -| `マスク` | MASK | オプション | None | - | インペインティング用のオプションのマスク（白い領域が置き換えられます） | +| パラメータ | 説明 | データ型 | 入力タイプ | デフォルト | 範囲 | +| --- | --- | --- | --- | --- | --- | +| `プロンプト` | DALL·E用のテキストプロンプト | STRING | 必須 | "" | - | +| `シード` | バックエンドではまだ実装されていません | INT | オプション | 0 | 0～2147483647 | +| `サイズ` | 画像サイズ | COMBO | オプション | "1024x1024" | "256x256", "512x512", "1024x1024" | +| `生成数` | 生成する画像の枚数 | INT | オプション | 1 | 1～8 | +| `画像` | 画像編集用のオプションの参照画像 | IMAGE | オプション | None | - | +| `マスク` | インペインティング用のオプションのマスク（白い領域が置き換えられます） | MASK | オプション | None | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | DALL·E 2から生成または編集された画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | DALL·E 2から生成または編集された画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle2/ja.md) --- **Source fingerprint (SHA-256):** `ad10b149ac28559ad18c09e0f071286509680603d953833106ad6a2d578f7efe` diff --git a/ja/built-in-nodes/OpenAIDalle3.mdx b/ja/built-in-nodes/OpenAIDalle3.mdx index 2d3c7b537..a222cfaa3 100644 --- a/ja/built-in-nodes/OpenAIDalle3.mdx +++ b/ja/built-in-nodes/OpenAIDalle3.mdx @@ -5,25 +5,25 @@ sidebarTitle: "OpenAIDalle3" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle3/ja.md) - OpenAIのDALL·E 3エンドポイントを介して同期的に画像を生成します。このノードはテキストプロンプトを受け取り、OpenAIのDALL·E 3モデルを使用して対応する画像を作成します。画像の品質、スタイル、サイズを指定することができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | DALL·E用のテキストプロンプト（デフォルト: ""） | -| `シード` | INT | いいえ | 0 ～ 2147483647 | バックエンドではまだ実装されていません（デフォルト: 0） | -| `画質` | COMBO | いいえ | "standard"
"hd" | 画像の品質（デフォルト: "standard"） | -| `スタイル` | COMBO | いいえ | "natural"
"vivid" | Vividを指定すると、モデルは超現実的で劇的な画像を生成する傾向が強まります。Naturalを指定すると、より自然で超現実的ではない画像が生成されます。（デフォルト: "natural"） | -| `サイズ` | COMBO | いいえ | "1024x1024"
"1024x1792"
"1792x1024" | 画像サイズ（デフォルト: "1024x1024"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | DALL·E用のテキストプロンプト（デフォルト: ""） | STRING | はい | - | +| `シード` | バックエンドではまだ実装されていません（デフォルト: 0） | INT | いいえ | 0 ～ 2147483647 | +| `画質` | 画像の品質（デフォルト: "standard"） | COMBO | いいえ | "standard"
"hd" | +| `スタイル` | Vividを指定すると、モデルは超現実的で劇的な画像を生成する傾向が強まります。Naturalを指定すると、より自然で超現実的ではない画像が生成されます。（デフォルト: "natural"） | COMBO | いいえ | "natural"
"vivid" | +| `サイズ` | 画像サイズ（デフォルト: "1024x1024"） | COMBO | いいえ | "1024x1024"
"1024x1792"
"1792x1024" | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | DALL·E 3から生成された画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | DALL·E 3から生成された画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle3/ja.md) --- **Source fingerprint (SHA-256):** `e36bfe2a6ecec050906f220de3a3edf06eff0bfd6e21f08ce90579172a07d7eb` diff --git a/ja/built-in-nodes/OpenAIGPTImage1.mdx b/ja/built-in-nodes/OpenAIGPTImage1.mdx index bbddb8381..5ecd4f228 100644 --- a/ja/built-in-nodes/OpenAIGPTImage1.mdx +++ b/ja/built-in-nodes/OpenAIGPTImage1.mdx @@ -5,25 +5,23 @@ sidebarTitle: "OpenAIGPTImage1" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImage1/ja.md) - OpenAIのGPT Imageエンドポイントを介して同期的に画像を生成します。このノードは、テキストプロンプトから新しい画像を作成したり、入力画像とオプションのマスクが提供された場合に既存の画像を編集したりできます。gpt-image-1、gpt-image-1.5、gpt-image-2を含む複数のGPT Imageモデルをサポートしています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | GPT Image用のテキストプロンプト（デフォルト: ""） | -| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成用のランダムシード（デフォルト: 0） - バックエンドではまだ実装されていません | -| `品質` | COMBO | いいえ | "low"
"medium"
"high" | 画像品質。コストと生成時間に影響します（デフォルト: "low"） | -| `背景` | COMBO | いいえ | "auto"
"opaque"
"transparent" | 背景ありまたは背景なしの画像を返します（デフォルト: "auto"） | -| `サイズ` | COMBO | いいえ | "auto"
"1024x1024"
"1024x1536"
"1536x1024"
"2048x2048"
"2048x1152"
"1152x2048"
"3840x2160"
"2160x3840"
"Custom" | 画像サイズ。"Custom"を選択すると、カスタムの幅と高さを使用します（GPT Image 2のみ）（デフォルト: "auto"） | -| `生成数` | INT | いいえ | 1 ～ 8 | 生成する画像の枚数（デフォルト: 1） | -| `参照画像` | IMAGE | いいえ | - | 画像編集用のオプションの参照画像 | -| `マスク` | MASK | いいえ | - | インペインティング用のオプションのマスク（白い領域が置き換えられます） | -| `model` | COMBO | いいえ | "gpt-image-1"
"gpt-image-1.5"
"gpt-image-2" | 使用するGPT Imageモデル（デフォルト: "gpt-image-2"） | -| `custom_width` | INT | いいえ | 1024 ～ 3840 | `サイズ`が"Custom"の場合のみ使用されます。16の倍数である必要があります（GPT Image 2のみ）（デフォルト: 1024） | -| `custom_height` | INT | いいえ | 1024 ～ 3840 | `サイズ`が"Custom"の場合のみ使用されます。16の倍数である必要があります（GPT Image 2のみ）（デフォルト: 1024） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | GPT Image用のテキストプロンプト（デフォルト: ""） | STRING | はい | - | +| `シード` | 生成用のランダムシード（デフォルト: 0） - バックエンドではまだ実装されていません | INT | いいえ | 0 ～ 2147483647 | +| `品質` | 画像品質。コストと生成時間に影響します（デフォルト: "low"） | COMBO | いいえ | "low"
"medium"
"high" | +| `背景` | 背景ありまたは背景なしの画像を返します（デフォルト: "auto"） | COMBO | いいえ | "auto"
"opaque"
"transparent" | +| `サイズ` | 画像サイズ。"Custom"を選択すると、カスタムの幅と高さを使用します（GPT Image 2のみ）（デフォルト: "auto"） | COMBO | いいえ | "auto"
"1024x1024"
"1024x1536"
"1536x1024"
"2048x2048"
"2048x1152"
"1152x2048"
"3840x2160"
"2160x3840"
"Custom" | +| `生成数` | 生成する画像の枚数（デフォルト: 1） | INT | いいえ | 1 ～ 8 | +| `参照画像` | 画像編集用のオプションの参照画像 | IMAGE | いいえ | - | +| `マスク` | インペインティング用のオプションのマスク（白い領域が置き換えられます） | MASK | いいえ | - | +| `model` | 使用するGPT Imageモデル（デフォルト: "gpt-image-2"） | COMBO | いいえ | "gpt-image-1"
"gpt-image-1.5"
"gpt-image-2" | +| `custom_width` | `サイズ`が"Custom"の場合のみ使用されます。16の倍数である必要があります（GPT Image 2のみ）（デフォルト: 1024） | INT | いいえ | 1024 ～ 3840 | +| `custom_height` | `サイズ`が"Custom"の場合のみ使用されます。16の倍数である必要があります（GPT Image 2のみ）（デフォルト: 1024） | INT | いいえ | 1024 ～ 3840 | **パラメータ制約:** @@ -40,9 +38,11 @@ OpenAIのGPT Imageエンドポイントを介して同期的に画像を生成 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | 生成または編集された画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | 生成または編集された画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImage1/ja.md) --- **Source fingerprint (SHA-256):** `44b258d6afcb388db3836427abdd5a7cb5c09a0328efceef7e114dd61a38eae1` diff --git a/ja/built-in-nodes/OpenAIGPTImageNodeV2.mdx b/ja/built-in-nodes/OpenAIGPTImageNodeV2.mdx index f75b5661e..1ef9cefe5 100644 --- a/ja/built-in-nodes/OpenAIGPTImageNodeV2.mdx +++ b/ja/built-in-nodes/OpenAIGPTImageNodeV2.mdx @@ -5,8 +5,6 @@ sidebarTitle: "OpenAIGPTImageNodeV2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/ja.md) - 以下は、ご依頼いただいたComfyUIノードドキュメントの日本語翻訳です。 ## 概要 @@ -15,19 +13,19 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | N/A | GPT Image用のテキストプロンプト（デフォルト：""）。 | -| `モデル` | COMBO | はい | `"gpt-image-2"`
`"gpt-image-1.5"`
`"gpt-image-1"` | 使用するOpenAI GPT Imageモデル。モデルを選択すると、そのモデル固有の追加パラメータが表示されます。 | -| `model.size` | COMBO | はい | `"auto"`
`"1024x1024"`
`"1024x1536"`
`"1536x1024"`
`"2048x2048"`
`"2048x1152"`
`"1152x2048"`
`"3840x2160"`
`"2160x3840"`
`"Custom"` | 画像サイズ。「Custom」を選択すると、カスタムの幅と高さを使用できます（デフォルト："auto"）。`gpt-image-2`でのみ使用可能です。 | -| `model.custom_width` | INT | いいえ | 1024 ～ 3840 | `size`が「Custom」の場合のみ使用されます。16の倍数である必要があります（デフォルト：1024）。`gpt-image-2`でのみ使用可能です。 | -| `model.custom_height` | INT | いいえ | 1024 ～ 3840 | `size`が「Custom」の場合のみ使用されます。16の倍数である必要があります（デフォルト：1024）。`gpt-image-2`でのみ使用可能です。 | -| `model.background` | COMBO | はい | `"auto"`
`"opaque"` | 背景ありまたは背景なしの画像を返します（デフォルト："auto"）。`gpt-image-2`でのみ使用可能です。 | -| `model.quality` | COMBO | はい | `"standard"`
`"hd"` | 生成される画像の品質。`gpt-image-2`でのみ使用可能です。 | -| `model.images` | IMAGE | いいえ | N/A | 編集用の入力画像。`gpt-image-2`でのみ使用可能です。 | -| `model.mask` | MASK | いいえ | N/A | 入力画像のどの部分を編集するかを指定するマスク。`gpt-image-2`でのみ使用可能です。 | -| `n` | INT | はい | 1 ～ 8 | 生成する画像の数（デフォルト：1）。 | -| `シード` | INT | はい | 0 ～ 2147483647 | 再現性のためのシード値（デフォルト：0）。注意：バックエンドではまだ実装されていません。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | GPT Image用のテキストプロンプト（デフォルト：""）。 | STRING | はい | N/A | +| `モデル` | 使用するOpenAI GPT Imageモデル。モデルを選択すると、そのモデル固有の追加パラメータが表示されます。 | COMBO | はい | `"gpt-image-2"`
`"gpt-image-1.5"`
`"gpt-image-1"` | +| `model.size` | 画像サイズ。「Custom」を選択すると、カスタムの幅と高さを使用できます（デフォルト："auto"）。`gpt-image-2`でのみ使用可能です。 | COMBO | はい | `"auto"`
`"1024x1024"`
`"1024x1536"`
`"1536x1024"`
`"2048x2048"`
`"2048x1152"`
`"1152x2048"`
`"3840x2160"`
`"2160x3840"`
`"Custom"` | +| `model.custom_width` | `size`が「Custom」の場合のみ使用されます。16の倍数である必要があります（デフォルト：1024）。`gpt-image-2`でのみ使用可能です。 | INT | いいえ | 1024 ～ 3840 | +| `model.custom_height` | `size`が「Custom」の場合のみ使用されます。16の倍数である必要があります（デフォルト：1024）。`gpt-image-2`でのみ使用可能です。 | INT | いいえ | 1024 ～ 3840 | +| `model.background` | 背景ありまたは背景なしの画像を返します（デフォルト："auto"）。`gpt-image-2`でのみ使用可能です。 | COMBO | はい | `"auto"`
`"opaque"` | +| `model.quality` | 生成される画像の品質。`gpt-image-2`でのみ使用可能です。 | COMBO | はい | `"standard"`
`"hd"` | +| `model.images` | 編集用の入力画像。`gpt-image-2`でのみ使用可能です。 | IMAGE | いいえ | N/A | +| `model.mask` | 入力画像のどの部分を編集するかを指定するマスク。`gpt-image-2`でのみ使用可能です。 | MASK | いいえ | N/A | +| `n` | 生成する画像の数（デフォルト：1）。 | INT | はい | 1 ～ 8 | +| `シード` | 再現性のためのシード値（デフォルト：0）。注意：バックエンドではまだ実装されていません。 | INT | はい | 0 ～ 2147483647 | **パラメータの制約と制限事項：** @@ -39,9 +37,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | 生成された画像、または画像群。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 生成された画像、または画像群。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/ja.md) --- **Source fingerprint (SHA-256):** `a757208cf6cc151594599b35b0ef73f2caf7274189e948799211c0714a6a8f89` diff --git a/ja/built-in-nodes/OpenAIInputFiles.mdx b/ja/built-in-nodes/OpenAIInputFiles.mdx index a1032f8c6..761b58d68 100644 --- a/ja/built-in-nodes/OpenAIInputFiles.mdx +++ b/ja/built-in-nodes/OpenAIInputFiles.mdx @@ -5,16 +5,14 @@ sidebarTitle: "OpenAIInputFiles" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIInputFiles/ja.md) - OpenAI API 用の入力ファイルを読み込み、フォーマットします。このノードは、テキスト（.txt）ファイルとPDF（.pdf）ファイルを準備し、OpenAI Chat ノードのコンテキスト入力として含めます。これらのファイルは、応答生成時に OpenAI モデルによって読み取られます。複数の OpenAI Input Files ノードをチェーン接続することで、1 つのメッセージに複数のファイルを含めることができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ファイル` | COMBO | はい | 複数のオプションが利用可能（入力ディレクトリ内の32MB未満のすべての .txt および .pdf ファイル） | モデルのコンテキストとして含める入力ファイル。現時点ではテキスト（.txt）ファイルとPDF（.pdf）ファイルのみを受け付けます。ファイルは32MB未満である必要があります。 | -| `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | いいえ | N/A | このノードから読み込まれたファイルと一緒にバッチ処理する、オプションの追加ファイル。入力ファイルをチェーン接続できるため、1 つのメッセージに複数の入力ファイルを含めることができます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ファイル` | モデルのコンテキストとして含める入力ファイル。現時点ではテキスト（.txt）ファイルとPDF（.pdf）ファイルのみを受け付けます。ファイルは32MB未満である必要があります。 | COMBO | はい | 複数のオプションが利用可能（入力ディレクトリ内の32MB未満のすべての .txt および .pdf ファイル） | +| `OPENAI_INPUT_FILES` | このノードから読み込まれたファイルと一緒にバッチ処理する、オプションの追加ファイル。入力ファイルをチェーン接続できるため、1 つのメッセージに複数の入力ファイルを含めることができます。 | OPENAI_INPUT_FILES | いいえ | N/A | **ファイル制約：** @@ -24,9 +22,11 @@ OpenAI API 用の入力ファイルを読み込み、フォーマットします ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | OpenAI API 呼び出しのコンテキストとして使用できるようフォーマットされた入力ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `OPENAI_INPUT_FILES` | OpenAI API 呼び出しのコンテキストとして使用できるようフォーマットされた入力ファイル。 | OPENAI_INPUT_FILES | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIInputFiles/ja.md) --- **Source fingerprint (SHA-256):** `e5e92f6628072da9af787867e38c89dde3db853b7289ef6c607a066cd04c1cc9` diff --git a/ja/built-in-nodes/OpenAIVideoSora2.mdx b/ja/built-in-nodes/OpenAIVideoSora2.mdx index a12351845..812799846 100644 --- a/ja/built-in-nodes/OpenAIVideoSora2.mdx +++ b/ja/built-in-nodes/OpenAIVideoSora2.mdx @@ -5,8 +5,6 @@ sidebarTitle: "OpenAIVideoSora2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIVideoSora2/ja.md) - 以下は、ご依頼いただいた技術翻訳の結果です。 --- @@ -17,14 +15,14 @@ OpenAIVideoSora2 ノードは、OpenAI の Sora モデルを使用して動画 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|-------------| -| `モデル` | COMBO | はい | "sora-2"
"sora-2-pro" | 動画生成に使用する OpenAI Sora モデル（デフォルト："sora-2"） | -| `プロンプト` | STRING | はい | - | 動画生成を導くテキストです。入力画像がある場合は空でも構いません（デフォルト：空） | -| `サイズ` | COMBO | はい | "720x1280"
"1280x720"
"1024x1792"
"1792x1024" | 生成される動画の解像度（デフォルト："1280x720"） | -| `長さ` | COMBO | はい | 4
8
12 | 生成される動画の長さ（秒単位）（デフォルト：8） | -| `画像` | IMAGE | いいえ | - | 動画生成のためのオプションの入力画像 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関わらず非決定的です（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画生成に使用する OpenAI Sora モデル（デフォルト："sora-2"） | COMBO | はい | "sora-2"
"sora-2-pro" | +| `プロンプト` | 動画生成を導くテキストです。入力画像がある場合は空でも構いません（デフォルト：空） | STRING | はい | - | +| `サイズ` | 生成される動画の解像度（デフォルト："1280x720"） | COMBO | はい | "720x1280"
"1280x720"
"1024x1792"
"1792x1024" | +| `長さ` | 生成される動画の長さ（秒単位）（デフォルト：8） | COMBO | はい | 4
8
12 | +| `画像` | 動画生成のためのオプションの入力画像 | IMAGE | いいえ | - | +| `シード` | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関わらず非決定的です（デフォルト：0） | INT | いいえ | 0 ～ 2147483647 | **制約と制限事項：** @@ -34,9 +32,11 @@ OpenAIVideoSora2 ノードは、OpenAI の Sora モデルを使用して動画 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画出力 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画出力 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIVideoSora2/ja.md) --- **Source fingerprint (SHA-256):** `c87b696dd92c6a6a929f49d189a375b1ebed80bf47f24667ee17c0b210330e55` diff --git a/ja/built-in-nodes/OpenRouterLLMNode.mdx b/ja/built-in-nodes/OpenRouterLLMNode.mdx index b6b66e53e..0c1e2dc2f 100644 --- a/ja/built-in-nodes/OpenRouterLLMNode.mdx +++ b/ja/built-in-nodes/OpenRouterLLMNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "OpenRouterLLMNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,12 +13,12 @@ OpenRouter LLM ノードは、OpenRouter サービスを通じて利用可能な ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | なし | モデルへのテキスト入力。 | -| `model` | STRING | はい | 複数のオプションが利用可能（下記注釈参照） | 応答生成に使用する OpenRouter モデル。 | -| `seed` | INT | はい | 0 ～ 2147483647 | サンプリング用のシード値。0 に設定すると省略されます。ほとんどのモデルでは、これはヒントとしてのみ扱われます。（デフォルト: 0） | -| `system_prompt` | STRING | いいえ | なし | モデルの動作を指示する基本命令。（デフォルト: ""） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | モデルへのテキスト入力。 | STRING | はい | なし | +| `model` | 応答生成に使用する OpenRouter モデル。 | STRING | はい | 複数のオプションが利用可能（下記注釈参照） | +| `seed` | サンプリング用のシード値。0 に設定すると省略されます。ほとんどのモデルでは、これはヒントとしてのみ扱われます。（デフォルト: 0） | INT | はい | 0 ～ 2147483647 | +| `system_prompt` | モデルの動作を指示する基本命令。（デフォルト: ""） | STRING | いいえ | なし | **`model` パラメータに関する注釈:** 利用可能なモデルオプションは動的に構築され、異なる機能を持つモデルが含まれる場合があります。一部のモデルは、推論努力、ウェブ検索、画像や動画の入力などの追加機能をサポートしています。ノードは、提供された画像または動画の数がモデルの最大サポート数を超えないことを検証します。 @@ -30,9 +28,11 @@ OpenRouter LLM ノードは、OpenRouter サービスを通じて利用可能な ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | OpenRouter モデルから生成されたテキスト応答。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | OpenRouter モデルから生成されたテキスト応答。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/ja.md) --- **Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a` diff --git a/ja/built-in-nodes/OpticalFlowLoader.mdx b/ja/built-in-nodes/OpticalFlowLoader.mdx index a4367b8c1..f894e1b4e 100644 --- a/ja/built-in-nodes/OpticalFlowLoader.mdx +++ b/ja/built-in-nodes/OpticalFlowLoader.mdx @@ -5,23 +5,23 @@ sidebarTitle: "OpticalFlowLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpticalFlowLoader/ja.md) - ## 概要 `models/optical_flow/` フォルダからオプティカルフローモデルを読み込みます。現在は、VOIDWarpedNoise ノードで使用される torchvision の RAFT-large 形式のみをサポートしています。ComfyUI はオプティカルフローの重みを自動的にダウンロードしません。チェックポイントファイルを手動で `models/optical_flow/` ディレクトリに配置する必要があります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_name` | STRING | はい | `models/optical_flow/` フォルダ内のファイル一覧 | 読み込むオプティカルフローモデル。ファイルは `optical_flow` フォルダに配置する必要があります。現在は torchvision の `raft_large.pth` のみをサポートしています。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_name` | 読み込むオプティカルフローモデル。ファイルは `optical_flow` フォルダに配置する必要があります。現在は torchvision の `raft_large.pth` のみをサポートしています。 | STRING | はい | `models/optical_flow/` フォルダ内のファイル一覧 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `OPTICAL_FLOW` | MODEL | 読み込まれたオプティカルフローモデル。他のノードで使用するために ModelPatcher でラップされています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `OPTICAL_FLOW` | 読み込まれたオプティカルフローモデル。他のノードで使用するために ModelPatcher でラップされています。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpticalFlowLoader/ja.md) --- **Source fingerprint (SHA-256):** `94bab0bb7e2b9d9b3f343337799eccc744f79275b72a6fad9681b408b4a0820b` diff --git a/ja/built-in-nodes/OptimalStepsScheduler.mdx b/ja/built-in-nodes/OptimalStepsScheduler.mdx index a243960a0..c4a17f6f8 100644 --- a/ja/built-in-nodes/OptimalStepsScheduler.mdx +++ b/ja/built-in-nodes/OptimalStepsScheduler.mdx @@ -5,27 +5,27 @@ sidebarTitle: "OptimalStepsScheduler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OptimalStepsScheduler/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OptimalStepsScheduler/en.md) OptimalStepsSchedulerノードは、選択されたモデルタイプとステップ設定に基づいて、拡散モデルのノイズスケジュールシグマを計算します。このノードは、denoiseパラメータに応じて総ステップ数を調整し、要求されたステップ数に一致するようにノイズレベルを補間します。出力として、拡散サンプリングプロセス中に使用されるノイズレベルを決定するシグマ値のシーケンスを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_type` | COMBO | はい | "FLUX"
"Wan"
"Chroma" | ノイズレベル計算に使用する拡散モデルのタイプ | -| `ステップ数` | INT | はい | 3-1000 | 計算するサンプリングステップの総数（デフォルト：20） | -| `ノイズ除去` | FLOAT | いいえ | 0.0-1.0 | ノイズ除去の強度を制御し、実効ステップ数を調整します（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_type` | ノイズレベル計算に使用する拡散モデルのタイプ | COMBO | はい | "FLUX"
"Wan"
"Chroma" | +| `ステップ数` | 計算するサンプリングステップの総数（デフォルト：20） | INT | はい | 3-1000 | +| `ノイズ除去` | ノイズ除去の強度を制御し、実効ステップ数を調整します（デフォルト：1.0） | FLOAT | いいえ | 0.0-1.0 | **注記：** `denoise`が1.0未満に設定されている場合、ノードは実効ステップ数を`steps * denoise`として計算します。`denoise`が0.0に設定されている場合、ノードは空のテンソルを返します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sigmas` | SIGMAS | 拡散サンプリングのノイズスケジュールを表すシグマ値のシーケンス | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sigmas` | 拡散サンプリングのノイズスケジュールを表すシグマ値のシーケンス | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OptimalStepsScheduler/ja.md) --- **Source fingerprint (SHA-256):** `4379171dc6d525a1ece514fdd11a95bfd92ed0c8b301f69ca718c1a3256b9590` diff --git a/ja/built-in-nodes/Painter.mdx b/ja/built-in-nodes/Painter.mdx index f51720cfe..c75c8bc56 100644 --- a/ja/built-in-nodes/Painter.mdx +++ b/ja/built-in-nodes/Painter.mdx @@ -5,28 +5,28 @@ sidebarTitle: "Painter" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Painter/ja.md) - Painterノードは、ComfyUI内で直接画像やマスクを作成・編集するためのインタラクティブなキャンバスを提供します。空白のキャンバスから始めることも、既存の画像にペイントすることも可能で、ブラシツールを使用して描画し、結果の画像と対応するアルファマスクの両方を出力します。マスクはペイントされた領域を定義し、その領域がベース画像または背景色の上に合成されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | いいえ | - | ペイントするベース画像（オプション）。指定しない場合は、指定された背景色、幅、高さで空白のキャンバスが作成されます。 | -| `mask` | STRING | はい | - | ペイントデータ。通常はノードの組み込みインタラクティブウィジェットによって生成されます。このパラメータはUIのペインターツールによって管理され、標準のソケットに接続することを想定していません。 | -| `幅` | INT | はい | 64 ～ 4096 | キャンバスの幅（ピクセル単位）。ベースの`画像`が提供されない場合に使用されます。値は64の倍数である必要があります。デフォルトは512です。 | -| `高さ` | INT | はい | 64 ～ 4096 | キャンバスの高さ（ピクセル単位）。ベースの`画像`が提供されない場合に使用されます。値は64の倍数である必要があります。デフォルトは512です。 | -| `背景色` | COLOR | はい | - | キャンバスの背景色。16進コード（例：#000000）で指定します。ベースの`画像`が提供されない場合にのみ使用されます。デフォルトは黒（#000000）です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | ペイントするベース画像（オプション）。指定しない場合は、指定された背景色、幅、高さで空白のキャンバスが作成されます。 | IMAGE | いいえ | - | +| `mask` | ペイントデータ。通常はノードの組み込みインタラクティブウィジェットによって生成されます。このパラメータはUIのペインターツールによって管理され、標準のソケットに接続することを想定していません。 | STRING | はい | - | +| `幅` | キャンバスの幅（ピクセル単位）。ベースの`画像`が提供されない場合に使用されます。値は64の倍数である必要があります。デフォルトは512です。 | INT | はい | 64 ～ 4096 | +| `高さ` | キャンバスの高さ（ピクセル単位）。ベースの`画像`が提供されない場合に使用されます。値は64の倍数である必要があります。デフォルトは512です。 | INT | はい | 64 ～ 4096 | +| `背景色` | キャンバスの背景色。16進コード（例：#000000）で指定します。ベースの`画像`が提供されない場合にのみ使用されます。デフォルトは黒（#000000）です。 | COLOR | はい | - | **注記：** `mask`入力は、ノードの専用UIウィジェットと連携するように設計されています。キャンバスにペイントすると、ウィジェットが自動的にこの値を設定します。`width`と`height`の入力は標準UIでは非表示ですが、新しい画像を作成する際のキャンバスサイズを定義します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | 最終的に合成された画像。ペイントされた領域（`mask`から）を、提供されたベース`画像`または色付き背景の上にブレンドした結果です。 | -| `MASK` | MASK | ペイントから抽出されたアルファチャンネル（透明度）マスク。白い領域はペイントされた領域を表し、黒い領域は手を加えていない背景を表します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | 最終的に合成された画像。ペイントされた領域（`mask`から）を、提供されたベース`画像`または色付き背景の上にブレンドした結果です。 | IMAGE | +| `MASK` | ペイントから抽出されたアルファチャンネル（透明度）マスク。白い領域はペイントされた領域を表し、黒い領域は手を加えていない背景を表します。 | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Painter/ja.md) --- **Source fingerprint (SHA-256):** `ae926b6d30aab65737bd99a58cb7de5a71fa36e61a677dbc97fc30b8ef8d2418` diff --git a/ja/built-in-nodes/PairConditioningCombine.mdx b/ja/built-in-nodes/PairConditioningCombine.mdx index 3c958e0e1..05c446107 100644 --- a/ja/built-in-nodes/PairConditioningCombine.mdx +++ b/ja/built-in-nodes/PairConditioningCombine.mdx @@ -5,27 +5,27 @@ sidebarTitle: "PairConditioningCombine" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningCombine/ja.md) - 以下は、指定された英語ドキュメントを日本語に翻訳したものです。 PairConditioningCombineノードは、2つの個別のコンディショニングペア（それぞれポジティブとネガティブのコンディショニングで構成）を1つの結合ペアに統合します。このノードは、2つの異なるソースからポジティブとネガティブのコンディショニングを受け取り、ComfyUIの内部ロジックを使用してそれらを結合し、最終的な1つのポジティブコンディショニングと1つのネガティブコンディショニングを出力します。このノードは実験的なものであり、高度なコンディショニング操作ワークフロー向けに設計されています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ_A` | CONDITIONING | はい | - | 1つ目のポジティブコンディショニング入力 | -| `ネガティブ_A` | CONDITIONING | はい | - | 1つ目のネガティブコンディショニング入力 | -| `ポジティブ_B` | CONDITIONING | はい | - | 2つ目のポジティブコンディショニング入力 | -| `ネガティブ_B` | CONDITIONING | はい | - | 2つ目のネガティブコンディショニング入力 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ_A` | 1つ目のポジティブコンディショニング入力 | CONDITIONING | はい | - | +| `ネガティブ_A` | 1つ目のネガティブコンディショニング入力 | CONDITIONING | はい | - | +| `ポジティブ_B` | 2つ目のポジティブコンディショニング入力 | CONDITIONING | はい | - | +| `ネガティブ_B` | 2つ目のネガティブコンディショニング入力 | CONDITIONING | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 結合されたポジティブコンディショニング出力 | -| `negative` | CONDITIONING | 結合されたネガティブコンディショニング出力 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 結合されたポジティブコンディショニング出力 | CONDITIONING | +| `negative` | 結合されたネガティブコンディショニング出力 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningCombine/ja.md) --- **Source fingerprint (SHA-256):** `34c14207930ba31fea054b2e641e9666e738ed786aa117449c4a27667bde41b1` diff --git a/ja/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx b/ja/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx index 51b1caa86..2cdabee7d 100644 --- a/ja/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx +++ b/ja/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx @@ -5,26 +5,26 @@ sidebarTitle: "PairConditioningSetDefaultAndCombine" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetDefaultAndCombine/ja.md) - **PairConditioningSetDefaultAndCombine** ノードは、デフォルトの条件付け値を設定し、それを入力条件付けデータと結合します。ポジティブおよびネガティブの条件付け入力と、それぞれに対応するデフォルト値を受け取り、ComfyUIのフックシステムを通じて処理することで、デフォルト値を組み込んだ最終的な条件付け出力を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 処理対象となる主要なポジティブ条件付け入力 | -| `negative` | CONDITIONING | はい | - | 処理対象となる主要なネガティブ条件付け入力 | -| `positive_DEFAULT` | CONDITIONING | はい | - | フォールバックとして使用されるデフォルトのポジティブ条件付け値 | -| `negative_DEFAULT` | CONDITIONING | はい | - | フォールバックとして使用されるデフォルトのネガティブ条件付け値 | -| `hooks` | HOOKS | いいえ | - | カスタム処理ロジックのためのオプションのフックグループ | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `positive` | 処理対象となる主要なポジティブ条件付け入力 | CONDITIONING | はい | - | +| `negative` | 処理対象となる主要なネガティブ条件付け入力 | CONDITIONING | はい | - | +| `positive_DEFAULT` | フォールバックとして使用されるデフォルトのポジティブ条件付け値 | CONDITIONING | はい | - | +| `negative_DEFAULT` | フォールバックとして使用されるデフォルトのネガティブ条件付け値 | CONDITIONING | はい | - | +| `hooks` | カスタム処理ロジックのためのオプションのフックグループ | HOOKS | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | デフォルト値が組み込まれた、処理済みのポジティブ条件付け | -| `negative` | CONDITIONING | デフォルト値が組み込まれた、処理済みのネガティブ条件付け | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `positive` | デフォルト値が組み込まれた、処理済みのポジティブ条件付け | CONDITIONING | +| `negative` | デフォルト値が組み込まれた、処理済みのネガティブ条件付け | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetDefaultAndCombine/ja.md) --- **Source fingerprint (SHA-256):** `dfa47d0fe02e81db8b68d20ae9b765c2518773f4f7fc8caf774cb870267dbb21` diff --git a/ja/built-in-nodes/PairConditioningSetProperties.mdx b/ja/built-in-nodes/PairConditioningSetProperties.mdx index 99f39ce3b..f1d70b17e 100644 --- a/ja/built-in-nodes/PairConditioningSetProperties.mdx +++ b/ja/built-in-nodes/PairConditioningSetProperties.mdx @@ -5,28 +5,28 @@ sidebarTitle: "PairConditioningSetProperties" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetProperties/ja.md) - **PairConditioningSetProperties** ノードを使用すると、ポジティブとネガティブの両方のコンディショニングペアのプロパティを同時に変更できます。このノードは、強度調整、コンディショニング領域の設定、オプションのマスクやタイミング制御を両方のコンディショニング入力に適用し、変更後のポジティブおよびネガティブコンディショニングデータを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ_NEW` | CONDITIONING | はい | - | 変更するポジティブコンディショニング入力 | -| `ネガティブ_NEW` | CONDITIONING | はい | - | 変更するネガティブコンディショニング入力 | -| `強度` | FLOAT | はい | 0.0 ～ 10.0 | コンディショニングに適用される強度倍率（デフォルト：1.0） | -| `set_cond_area` | STRING | はい | "default"
"mask bounds" | コンディショニング領域の計算方法を指定します（デフォルト："default"） | -| `マスク` | MASK | いいえ | - | コンディショニング領域を制限するオプションのマスク | -| `フック` | HOOKS | いいえ | - | 高度なコンディショニング変更のためのオプションのフックグループ | -| `タイムステップ` | TIMESTEPS_RANGE | いいえ | - | コンディショニングを適用するタイミングを制限するオプションのタイムステップ範囲 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ_NEW` | 変更するポジティブコンディショニング入力 | CONDITIONING | はい | - | +| `ネガティブ_NEW` | 変更するネガティブコンディショニング入力 | CONDITIONING | はい | - | +| `強度` | コンディショニングに適用される強度倍率（デフォルト：1.0） | FLOAT | はい | 0.0 ～ 10.0 | +| `set_cond_area` | コンディショニング領域の計算方法を指定します（デフォルト："default"） | STRING | はい | "default"
"mask bounds" | +| `マスク` | コンディショニング領域を制限するオプションのマスク | MASK | いいえ | - | +| `フック` | 高度なコンディショニング変更のためのオプションのフックグループ | HOOKS | いいえ | - | +| `タイムステップ` | コンディショニングを適用するタイミングを制限するオプションのタイムステップ範囲 | TIMESTEPS_RANGE | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 適用されたプロパティを持つ変更後のポジティブコンディショニング | -| `negative` | CONDITIONING | 適用されたプロパティを持つ変更後のネガティブコンディショニング | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 適用されたプロパティを持つ変更後のポジティブコンディショニング | CONDITIONING | +| `negative` | 適用されたプロパティを持つ変更後のネガティブコンディショニング | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetProperties/ja.md) --- **Source fingerprint (SHA-256):** `3f750c270665b4f3567790ab1ae0bdbfa176527d4f8d96cf10570a5c5deb9636` diff --git a/ja/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx b/ja/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx index 90d969552..8127cab73 100644 --- a/ja/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx +++ b/ja/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx @@ -5,8 +5,6 @@ sidebarTitle: "PairConditioningSetPropertiesAndCombine" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetPropertiesAndCombine/ja.md) - 以下は、指定された英語ドキュメントを日本語に翻訳したものです。 --- @@ -15,24 +13,26 @@ PairConditioningSetPropertiesAndCombine ノードは、既存のポジティブ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 元のポジティブ conditioning 入力 | -| `ネガティブ` | CONDITIONING | はい | - | 元のネガティブ conditioning 入力 | -| `ポジティブ_NEW` | CONDITIONING | はい | - | 適用する新しいポジティブ conditioning | -| `ネガティブ_NEW` | CONDITIONING | はい | - | 適用する新しいネガティブ conditioning | -| `強度` | FLOAT | はい | 0.0 ～ 10.0 | 新しい conditioning を適用する際の強度係数（デフォルト：1.0） | -| `set_cond_area` | STRING | はい | "default"
"mask bounds" | conditioning 領域の適用方法を制御します（デフォルト："default"） | -| `マスク` | MASK | いいえ | - | conditioning の適用領域を制限するオプションのマスク | -| `フック` | HOOKS | いいえ | - | 高度な制御のためのオプションのフックグループ | -| `タイムステップ` | TIMESTEPS_RANGE | いいえ | - | オプションのタイムステップ範囲指定 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 元のポジティブ conditioning 入力 | CONDITIONING | はい | - | +| `ネガティブ` | 元のネガティブ conditioning 入力 | CONDITIONING | はい | - | +| `ポジティブ_NEW` | 適用する新しいポジティブ conditioning | CONDITIONING | はい | - | +| `ネガティブ_NEW` | 適用する新しいネガティブ conditioning | CONDITIONING | はい | - | +| `強度` | 新しい conditioning を適用する際の強度係数（デフォルト：1.0） | FLOAT | はい | 0.0 ～ 10.0 | +| `set_cond_area` | conditioning 領域の適用方法を制御します（デフォルト："default"） | STRING | はい | "default"
"mask bounds" | +| `マスク` | conditioning の適用領域を制限するオプションのマスク | MASK | いいえ | - | +| `フック` | 高度な制御のためのオプションのフックグループ | HOOKS | いいえ | - | +| `タイムステップ` | オプションのタイムステップ範囲指定 | TIMESTEPS_RANGE | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 結合されたポジティブ conditioning の出力 | -| `ネガティブ` | CONDITIONING | 結合されたネガティブ conditioning の出力 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 結合されたポジティブ conditioning の出力 | CONDITIONING | +| `ネガティブ` | 結合されたネガティブ conditioning の出力 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetPropertiesAndCombine/ja.md) --- **Source fingerprint (SHA-256):** `d434fdc1ccbe3ddee6293a6300cc55d30cb5bf357025b26777791746f51e755e` diff --git a/ja/built-in-nodes/PatchModelAddDownscale.mdx b/ja/built-in-nodes/PatchModelAddDownscale.mdx index ae1a98e46..10989e7f2 100644 --- a/ja/built-in-nodes/PatchModelAddDownscale.mdx +++ b/ja/built-in-nodes/PatchModelAddDownscale.mdx @@ -5,28 +5,28 @@ sidebarTitle: "PatchModelAddDownscale" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PatchModelAddDownscale/ja.md) - PatchModelAddDownscale ノードは、モデル内の特定のブロックにダウンスケールおよびアップスケール処理を適用することで、Kohya Deep Shrink 機能を実装します。処理中の中間特徴量の解像度を低下させ、その後元のサイズに復元することで、品質を維持しながらパフォーマンスを向上させることができます。このノードは、モデルの実行中にこれらのスケーリング処理をいつ、どのように行うかを正確に制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | ダウンスケールパッチを適用するモデル | -| `ブロック番号` | INT | いいえ | 1-32 | ダウンスケールを適用する特定のブロック番号（デフォルト: 3） | -| `ダウンスケール係数` | FLOAT | いいえ | 0.1-9.0 | 特徴量をダウンスケールする倍率（デフォルト: 2.0） | -| `開始パーセント` | FLOAT | いいえ | 0.0-1.0 | ノイズ除去処理においてダウンスケールを開始する位置（デフォルト: 0.0） | -| `終了パーセント` | FLOAT | いいえ | 0.0-1.0 | ノイズ除去処理においてダウンスケールを終了する位置（デフォルト: 0.35） | -| `スキップ後のダウンスケール` | BOOLEAN | いいえ | - | スキップ接続後にダウンスケールを適用するかどうか（デフォルト: True） | -| `ダウンスケール方法` | COMBO | いいえ | "bicubic"
"nearest-exact"
"bilinear"
"area"
"bislerp" | ダウンスケール処理に使用する補間方法 | -| `アップスケール方法` | COMBO | いいえ | "bicubic"
"nearest-exact"
"bilinear"
"area"
"bislerp" | アップスケール処理に使用する補間方法 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | ダウンスケールパッチを適用するモデル | MODEL | はい | - | +| `ブロック番号` | ダウンスケールを適用する特定のブロック番号（デフォルト: 3） | INT | いいえ | 1-32 | +| `ダウンスケール係数` | 特徴量をダウンスケールする倍率（デフォルト: 2.0） | FLOAT | いいえ | 0.1-9.0 | +| `開始パーセント` | ノイズ除去処理においてダウンスケールを開始する位置（デフォルト: 0.0） | FLOAT | いいえ | 0.0-1.0 | +| `終了パーセント` | ノイズ除去処理においてダウンスケールを終了する位置（デフォルト: 0.35） | FLOAT | いいえ | 0.0-1.0 | +| `スキップ後のダウンスケール` | スキップ接続後にダウンスケールを適用するかどうか（デフォルト: True） | BOOLEAN | いいえ | - | +| `ダウンスケール方法` | ダウンスケール処理に使用する補間方法 | COMBO | いいえ | "bicubic"
"nearest-exact"
"bilinear"
"area"
"bislerp" | +| `アップスケール方法` | アップスケール処理に使用する補間方法 | COMBO | いいえ | "bicubic"
"nearest-exact"
"bilinear"
"area"
"bislerp" | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | ダウンスケールパッチが適用された変更後のモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | ダウンスケールパッチが適用された変更後のモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PatchModelAddDownscale/ja.md) --- **Source fingerprint (SHA-256):** `93ece77ad2dce3c1cdd554583ae1f2e6be51a43ab072d408869dddbcc7798c40` diff --git a/ja/built-in-nodes/PerpNeg.mdx b/ja/built-in-nodes/PerpNeg.mdx index 0ecdfcd54..327baba2c 100644 --- a/ja/built-in-nodes/PerpNeg.mdx +++ b/ja/built-in-nodes/PerpNeg.mdx @@ -5,25 +5,25 @@ sidebarTitle: "PerpNeg" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNeg/ja.md) - PerpNegノードは、モデルのサンプリングプロセスに垂直ネガティブガイダンスを適用します。このノードはモデルの設定関数を変更し、ネガティブ条件付けとスケーリング係数を使用してノイズ予測を調整します。このノードは非推奨となり、機能改善のためにPerpNegGuiderノードに置き換えられました。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | 垂直ネガティブガイダンスを適用するモデル | -| `空のコンディショニング` | CONDITIONING | はい | - | ネガティブガイダンス計算に使用する空の条件付け | -| `ネガティブスケール` | FLOAT | いいえ | 0.0～100.0 | ネガティブガイダンスのスケーリング係数（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 垂直ネガティブガイダンスを適用するモデル | MODEL | はい | - | +| `空のコンディショニング` | ネガティブガイダンス計算に使用する空の条件付け | CONDITIONING | はい | - | +| `ネガティブスケール` | ネガティブガイダンスのスケーリング係数（デフォルト：1.0） | FLOAT | いいえ | 0.0～100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 垂直ネガティブガイダンスが適用された変更後のモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 垂直ネガティブガイダンスが適用された変更後のモデル | MODEL | **注記**: このノードは非推奨であり、PerpNegGuiderに置き換えられています。実験的な機能としてマークされており、本番環境のワークフローでは使用しないでください。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNeg/ja.md) + --- **Source fingerprint (SHA-256):** `6be4ab03cfbda33ed3966ecd579c1a5e3242bdfb163fecefb9c80073a8827cae` diff --git a/ja/built-in-nodes/PerpNegGuider.mdx b/ja/built-in-nodes/PerpNegGuider.mdx index 9b8193744..03847e5b2 100644 --- a/ja/built-in-nodes/PerpNegGuider.mdx +++ b/ja/built-in-nodes/PerpNegGuider.mdx @@ -5,26 +5,26 @@ sidebarTitle: "PerpNegGuider" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNegGuider/ja.md) - PerpNegGuiderノードは、垂直ネガティブ条件付けを使用して画像生成を制御するガイダンスシステムを作成します。ポジティブ、ネガティブ、および空の条件付け入力を取得し、特殊なガイダンスアルゴリズムを適用して生成プロセスを誘導します。このノードは実験的なテスト用に設計されており、ガイダンスの強度とネガティブスケーリングを細かく制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | ガイダンス生成に使用するモデル | -| `ポジティブ` | CONDITIONING | はい | - | 生成を目的のコンテンツに誘導するポジティブ条件付け | -| `ネガティブ` | CONDITIONING | はい | - | 生成を不要なコンテンツから遠ざけるネガティブ条件付け | -| `空のコンディショニング` | CONDITIONING | はい | - | ベースライン参照として使用する空またはニュートラルな条件付け | -| `cfg` | FLOAT | はい | 0.0 - 100.0 | 条件付けが生成にどの程度強く影響するかを制御する分類器フリーガイダンススケール（デフォルト：8.0） | -| `ネガティブスケール` | FLOAT | はい | 0.0 - 100.0 | ネガティブ条件付けの強度を調整するネガティブスケーリング係数（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | ガイダンス生成に使用するモデル | MODEL | はい | - | +| `ポジティブ` | 生成を目的のコンテンツに誘導するポジティブ条件付け | CONDITIONING | はい | - | +| `ネガティブ` | 生成を不要なコンテンツから遠ざけるネガティブ条件付け | CONDITIONING | はい | - | +| `空のコンディショニング` | ベースライン参照として使用する空またはニュートラルな条件付け | CONDITIONING | はい | - | +| `cfg` | 条件付けが生成にどの程度強く影響するかを制御する分類器フリーガイダンススケール（デフォルト：8.0） | FLOAT | はい | 0.0 - 100.0 | +| `ネガティブスケール` | ネガティブ条件付けの強度を調整するネガティブスケーリング係数（デフォルト：1.0） | FLOAT | はい | 0.0 - 100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `guider` | GUIDER | 生成パイプラインで使用できるように設定されたガイダンスシステム | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `guider` | 生成パイプラインで使用できるように設定されたガイダンスシステム | GUIDER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNegGuider/ja.md) --- **Source fingerprint (SHA-256):** `efd3f78d461ade9d16885923875bacffb5afeafcbe32fc2d207598e0efe3a8c6` diff --git a/ja/built-in-nodes/PerturbedAttentionGuidance.mdx b/ja/built-in-nodes/PerturbedAttentionGuidance.mdx index 01f9f1103..7bd1fb8a9 100644 --- a/ja/built-in-nodes/PerturbedAttentionGuidance.mdx +++ b/ja/built-in-nodes/PerturbedAttentionGuidance.mdx @@ -5,22 +5,22 @@ sidebarTitle: "PerturbedAttentionGuidance" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerturbedAttentionGuidance/ja.md) - {PerturbedAttentionGuidance}ノードは、摂動注意誘導（Perturbed Attention Guidance）を拡散モデルに適用し、生成品質を向上させます。このノードは、サンプリング中にモデルの自己注意機構を、値の射影に焦点を当てた簡略化バージョンに置き換えます。この手法により、条件付きノイズ除去プロセスを調整し、生成画像の一貫性と品質を向上させます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | 摂動注意誘導を適用する拡散モデル | -| `スケール` | FLOAT | いいえ | 0.0 - 100.0 | 摂動注意誘導効果の強さ（デフォルト: 3.0）。0に設定すると、ノードは効果を発揮せず、元のノイズ除去結果を返します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 摂動注意誘導を適用する拡散モデル | MODEL | はい | - | +| `スケール` | 摂動注意誘導効果の強さ（デフォルト: 3.0）。0に設定すると、ノードは効果を発揮せず、元のノイズ除去結果を返します。 | FLOAT | いいえ | 0.0 - 100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 摂動注意誘導が適用された変更済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 摂動注意誘導が適用された変更済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerturbedAttentionGuidance/ja.md) --- **Source fingerprint (SHA-256):** `8808aa3a3f7cfe306e17f8f4424779cb8e4565647bbcc9d4907da2215affe191` diff --git a/ja/built-in-nodes/PhotoMakerEncode.mdx b/ja/built-in-nodes/PhotoMakerEncode.mdx index b4476b63b..132063951 100644 --- a/ja/built-in-nodes/PhotoMakerEncode.mdx +++ b/ja/built-in-nodes/PhotoMakerEncode.mdx @@ -5,26 +5,26 @@ sidebarTitle: "PhotoMakerEncode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerEncode/ja.md) - PhotoMakerEncode ノードは、画像とテキストを処理し、AI画像生成のためのコンディショニングデータを生成します。参照画像とテキストプロンプトを受け取り、参照画像の視覚的特徴に基づいて画像生成をガイドするための埋め込み（エンベディング）を作成します。このノードは特に、テキスト内の「photomaker」トークンを検出し、画像ベースのコンディショニングを適用する位置を決定します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `photomaker` | PHOTOMAKER | はい | - | 画像の処理と埋め込み生成に使用されるPhotoMakerモデル | -| `画像` | IMAGE | はい | - | コンディショニングのための視覚的特徴を提供する参照画像 | -| `clip` | CLIP | はい | - | テキストのトークン化とエンコードに使用されるCLIPモデル | -| `テキスト` | STRING | はい | - | コンディショニング生成のためのテキストプロンプト（デフォルト："photograph of photomaker"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `photomaker` | 画像の処理と埋め込み生成に使用されるPhotoMakerモデル | PHOTOMAKER | はい | - | +| `画像` | コンディショニングのための視覚的特徴を提供する参照画像 | IMAGE | はい | - | +| `clip` | テキストのトークン化とエンコードに使用されるCLIPモデル | CLIP | はい | - | +| `テキスト` | コンディショニング生成のためのテキストプロンプト（デフォルト："photograph of photomaker"） | STRING | はい | - | **注記:** テキストに「photomaker」という単語が含まれている場合、ノードはプロンプト内のその位置に画像ベースのコンディショニングを適用します。テキスト内に「photomaker」が見つからない場合、ノードは画像の影響を受けない標準的なテキストコンディショニングを生成します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 画像生成をガイドするための画像およびテキスト埋め込みを含むコンディショニングデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 画像生成をガイドするための画像およびテキスト埋め込みを含むコンディショニングデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerEncode/ja.md) --- **Source fingerprint (SHA-256):** `535fd3dbbe0e48205bebde030138ffca841dc94a18fd47db768a1066fe84bce4` diff --git a/ja/built-in-nodes/PhotoMakerLoader.mdx b/ja/built-in-nodes/PhotoMakerLoader.mdx index ffaa4ff88..8c03d3db1 100644 --- a/ja/built-in-nodes/PhotoMakerLoader.mdx +++ b/ja/built-in-nodes/PhotoMakerLoader.mdx @@ -5,22 +5,22 @@ sidebarTitle: "PhotoMakerLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerLoader/ja.md) - 以下が翻訳結果です。 ## 概要 PhotoMakerLoaderノードは、利用可能なモデルファイルからPhotoMakerモデルを読み込みます。指定されたモデルファイルを読み取り、IDベースの画像生成タスクで使用するためのPhotoMaker IDエンコーダーを準備します。このノードは実験的なものとしてマークされており、テスト目的で使用することを意図しています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `photomakerモデル名` | STRING | はい | 複数のオプションが利用可能 | 読み込むPhotoMakerモデルファイルの名前です。利用可能なオプションは、`photomaker`フォルダ内に存在するモデルファイルによって決まります。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `photomakerモデル名` | 読み込むPhotoMakerモデルファイルの名前です。利用可能なオプションは、`photomaker`フォルダ内に存在するモデルファイルによって決まります。 | STRING | はい | 複数のオプションが利用可能 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `photomaker_model` | PHOTOMAKER | IDエンコーダーを含む読み込まれたPhotoMakerモデルで、IDエンコード操作で使用する準備が整っています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `photomaker_model` | IDエンコーダーを含む読み込まれたPhotoMakerモデルで、IDエンコード操作で使用する準備が整っています。 | PHOTOMAKER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerLoader/ja.md) --- **Source fingerprint (SHA-256):** `4c55abacf8462d8de3d1f2a728d4b09ab1d1c8c6476d25cc4af5089508a721da` diff --git a/ja/built-in-nodes/PiDConditioning.mdx b/ja/built-in-nodes/PiDConditioning.mdx index 33a9c25c0..aea99c2c6 100644 --- a/ja/built-in-nodes/PiDConditioning.mdx +++ b/ja/built-in-nodes/PiDConditioning.mdx @@ -5,8 +5,6 @@ sidebarTitle: "PiDConditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PiDConditioning/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,18 +13,20 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 潜在画像と劣化シグマを付加する対象のコンディショニングデータ。 | -| `latent` | LATENT | はい | - | コンディショニングに付加する潜在画像（VAEEncodeまたはKSamplerから出力）。 | -| `latent_format` | COMBO | はい | `"flux"`
`"sd3"` | 潜在表現のフォーマット。Flux1およびFlux2の潜在表現はチャンネル次元から自動検出されます。SD3は手動で選択する必要があります（デフォルト: "flux"）。 | -| `degrade_sigma` | FLOAT | はい | 0.0～1.0（刻み: 0.01） | 適用する劣化の量。0はクリーンな潜在表現を意味します。この値を増やすと、破損した潜在出力をノイズ除去できます（デフォルト: 0.0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 潜在画像と劣化シグマを付加する対象のコンディショニングデータ。 | CONDITIONING | はい | - | +| `latent` | コンディショニングに付加する潜在画像（VAEEncodeまたはKSamplerから出力）。 | LATENT | はい | - | +| `latent_format` | 潜在表現のフォーマット。Flux1およびFlux2の潜在表現はチャンネル次元から自動検出されます。SD3は手動で選択する必要があります（デフォルト: "flux"）。 | COMBO | はい | `"flux"`
`"sd3"` | +| `degrade_sigma` | 適用する劣化の量。0はクリーンな潜在表現を意味します。この値を増やすと、破損した潜在出力をノイズ除去できます（デフォルト: 0.0）。 | FLOAT | はい | 0.0～1.0（刻み: 0.01） | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 潜在画像と劣化シグマ値が付加された元のコンディショニングデータ。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 潜在画像と劣化シグマ値が付加された元のコンディショニングデータ。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PiDConditioning/ja.md) --- **Source fingerprint (SHA-256):** `7c8de543629c2299fc2c1e035e433dfc249af594773a77e65c69dde67eb104d7` diff --git a/ja/built-in-nodes/PikaImageToVideoNode2_2.mdx b/ja/built-in-nodes/PikaImageToVideoNode2_2.mdx index f44897599..cd8ba8114 100644 --- a/ja/built-in-nodes/PikaImageToVideoNode2_2.mdx +++ b/ja/built-in-nodes/PikaImageToVideoNode2_2.mdx @@ -5,8 +5,6 @@ sidebarTitle: "PikaImageToVideoNode2_2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaImageToVideoNode2_2/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,20 +13,22 @@ Pika Image to Video ノードは、画像とテキストプロンプトを Pika ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 動画に変換する画像 | -| `prompt_text` | STRING | はい | - | 動画生成をガイドするテキスト説明 | -| `negative_prompt` | STRING | はい | - | 動画内で避けたい内容を記述するテキスト | -| `seed` | INT | はい | - | 再現可能な結果を得るためのランダムシード値 | -| `resolution` | STRING | はい | - | 出力動画の解像度設定 | -| `duration` | INT | はい | - | 生成される動画の長さ（秒単位） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | 動画に変換する画像 | IMAGE | はい | - | +| `prompt_text` | 動画生成をガイドするテキスト説明 | STRING | はい | - | +| `negative_prompt` | 動画内で避けたい内容を記述するテキスト | STRING | はい | - | +| `seed` | 再現可能な結果を得るためのランダムシード値 | INT | はい | - | +| `resolution` | 出力動画の解像度設定 | STRING | はい | - | +| `duration` | 生成される動画の長さ（秒単位） | INT | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaImageToVideoNode2_2/ja.md) --- **Source fingerprint (SHA-256):** `aaa8dc49b94f0fae2010a3b61a3fb41e212fa9d2946a934a1a7c651fdced81b3` diff --git a/ja/built-in-nodes/PikaScenesV2_2.mdx b/ja/built-in-nodes/PikaScenesV2_2.mdx index acdcfc131..1f5891072 100644 --- a/ja/built-in-nodes/PikaScenesV2_2.mdx +++ b/ja/built-in-nodes/PikaScenesV2_2.mdx @@ -5,34 +5,34 @@ sidebarTitle: "PikaScenesV2_2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaScenesV2_2/ja.md) - PikaScenes v2.2 ノードは、複数の画像を組み合わせて、すべての入力画像のオブジェクトを取り入れた動画を生成します。最大5つの異なる画像を材料としてアップロードし、それらをシームレスに融合した高品質な動画を生成できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt_text` | STRING | はい | - | 生成する内容を説明するテキスト | -| `negative_prompt` | STRING | はい | - | 生成で避けたい内容を説明するテキスト | -| `seed` | INT | はい | - | 生成のためのランダムシード値 | -| `resolution` | STRING | はい | - | 動画の出力解像度 | -| `duration` | INT | はい | - | 生成される動画の長さ | -| `ingredients_mode` | STRING | いいえ | "creative"
"precise" | 材料を組み合わせるモード（デフォルト："creative"） | -| `aspect_ratio` | FLOAT | いいえ | 0.4 - 2.5 | アスペクト比（幅 / 高さ）（デフォルト：1.778） | -| `image_ingredient_1` | IMAGE | いいえ | - | 動画生成の材料として使用される画像 | -| `image_ingredient_2` | IMAGE | いいえ | - | 動画生成の材料として使用される画像 | -| `image_ingredient_3` | IMAGE | いいえ | - | 動画生成の材料として使用される画像 | -| `image_ingredient_4` | IMAGE | いいえ | - | 動画生成の材料として使用される画像 | -| `image_ingredient_5` | IMAGE | いいえ | - | 動画生成の材料として使用される画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt_text` | 生成する内容を説明するテキスト | STRING | はい | - | +| `negative_prompt` | 生成で避けたい内容を説明するテキスト | STRING | はい | - | +| `seed` | 生成のためのランダムシード値 | INT | はい | - | +| `resolution` | 動画の出力解像度 | STRING | はい | - | +| `duration` | 生成される動画の長さ | INT | はい | - | +| `ingredients_mode` | 材料を組み合わせるモード（デフォルト："creative"） | STRING | いいえ | "creative"
"precise" | +| `aspect_ratio` | アスペクト比（幅 / 高さ）（デフォルト：1.778） | FLOAT | いいえ | 0.4 - 2.5 | +| `image_ingredient_1` | 動画生成の材料として使用される画像 | IMAGE | いいえ | - | +| `image_ingredient_2` | 動画生成の材料として使用される画像 | IMAGE | いいえ | - | +| `image_ingredient_3` | 動画生成の材料として使用される画像 | IMAGE | いいえ | - | +| `image_ingredient_4` | 動画生成の材料として使用される画像 | IMAGE | いいえ | - | +| `image_ingredient_5` | 動画生成の材料として使用される画像 | IMAGE | いいえ | - | **注意：** 画像材料は最大5つまで提供できますが、動画を生成するには少なくとも1つの画像が必要です。ノードは提供されたすべての画像を使用して、最終的な動画コンポジションを作成します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | すべての入力画像を組み合わせて生成された動画 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | すべての入力画像を組み合わせて生成された動画 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaScenesV2_2/ja.md) --- **Source fingerprint (SHA-256):** `dda8f10a58527c2b9037744f59f30821cdde37ad23427b856ba5e699a05acafd` diff --git a/ja/built-in-nodes/PikaStartEndFrameNode2_2.mdx b/ja/built-in-nodes/PikaStartEndFrameNode2_2.mdx index f8d57edc8..2f9b00a2c 100644 --- a/ja/built-in-nodes/PikaStartEndFrameNode2_2.mdx +++ b/ja/built-in-nodes/PikaStartEndFrameNode2_2.mdx @@ -5,27 +5,27 @@ sidebarTitle: "PikaStartEndFrameNode2_2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaStartEndFrameNode2_2/ja.md) - PikaFrames v2.2 ノードは、最初と最後のフレームを組み合わせて動画を生成します。開始点と終了点を定義する2枚の画像をアップロードすると、AIがそれらの間のスムーズな遷移を作成し、完全な動画を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image_start` | IMAGE | はい | - | 合成する最初の画像です。 | -| `image_end` | IMAGE | はい | - | 合成する最後の画像です。 | -| `prompt_text` | STRING | はい | - | 希望する動画の内容を説明するテキストプロンプトです。 | -| `negative_prompt` | STRING | はい | - | 動画で避けたい内容を説明するテキストです。 | -| `seed` | INT | はい | - | 生成の一貫性を保つためのランダムシード値です。 | -| `resolution` | STRING | はい | - | 出力動画の解像度です。 | -| `duration` | INT | はい | - | 生成される動画の長さです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image_start` | 合成する最初の画像です。 | IMAGE | はい | - | +| `image_end` | 合成する最後の画像です。 | IMAGE | はい | - | +| `prompt_text` | 希望する動画の内容を説明するテキストプロンプトです。 | STRING | はい | - | +| `negative_prompt` | 動画で避けたい内容を説明するテキストです。 | STRING | はい | - | +| `seed` | 生成の一貫性を保つためのランダムシード値です。 | INT | はい | - | +| `resolution` | 出力動画の解像度です。 | STRING | はい | - | +| `duration` | 生成される動画の長さです。 | INT | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 開始フレームと終了フレームをAIによる遷移で合成した生成動画です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 開始フレームと終了フレームをAIによる遷移で合成した生成動画です。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaStartEndFrameNode2_2/ja.md) --- **Source fingerprint (SHA-256):** `0a26f6db754c61d1f35e3fd9faceb631a8103ce9ff38190a5dd637991914e238` diff --git a/ja/built-in-nodes/PikaTextToVideoNode2_2.mdx b/ja/built-in-nodes/PikaTextToVideoNode2_2.mdx index 758817faf..0b959a17f 100644 --- a/ja/built-in-nodes/PikaTextToVideoNode2_2.mdx +++ b/ja/built-in-nodes/PikaTextToVideoNode2_2.mdx @@ -5,28 +5,28 @@ sidebarTitle: "PikaTextToVideoNode2_2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaTextToVideoNode2_2/ja.md) - 以下が翻訳結果です。 Pika Text2Video v2.2 ノードは、テキストプロンプトを Pika API バージョン 2.2 に送信して動画を生成します。このノードは、テキストによる説明を Pika の AI 動画生成サービスを使用して動画に変換します。アスペクト比、再生時間、解像度など、動画生成プロセスのさまざまな側面をカスタマイズすることができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt_text` | STRING | はい | - | 動画に生成したい内容を記述するメインのテキスト説明 | -| `negative_prompt` | STRING | はい | - | 生成される動画に表示させたくない内容を記述するテキスト | -| `seed` | INT | はい | - | 生成のランダム性を制御し、再現可能な結果を得るための数値 | -| `resolution` | STRING | はい | - | 出力動画の解像度設定 | -| `duration` | INT | はい | - | 動画の長さ（秒単位） | -| `aspect_ratio` | FLOAT | いいえ | 0.4 - 2.5 | アスペクト比（幅 / 高さ）（デフォルト: 1.7777777777777777） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt_text` | 動画に生成したい内容を記述するメインのテキスト説明 | STRING | はい | - | +| `negative_prompt` | 生成される動画に表示させたくない内容を記述するテキスト | STRING | はい | - | +| `seed` | 生成のランダム性を制御し、再現可能な結果を得るための数値 | INT | はい | - | +| `resolution` | 出力動画の解像度設定 | STRING | はい | - | +| `duration` | 動画の長さ（秒単位） | INT | はい | - | +| `aspect_ratio` | アスペクト比（幅 / 高さ）（デフォルト: 1.7777777777777777） | FLOAT | いいえ | 0.4 - 2.5 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | Pika API から返された生成済み動画ファイル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | Pika API から返された生成済み動画ファイル | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaTextToVideoNode2_2/ja.md) --- **Source fingerprint (SHA-256):** `b4287519f5d4cc4a1077a58fb13aa99697e3be038a0b382c4b4c9b0e53a0d8a8` diff --git a/ja/built-in-nodes/Pikadditions.mdx b/ja/built-in-nodes/Pikadditions.mdx index 736488ced..f8f3032d4 100644 --- a/ja/built-in-nodes/Pikadditions.mdx +++ b/ja/built-in-nodes/Pikadditions.mdx @@ -5,27 +5,27 @@ sidebarTitle: "Pikadditions" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikadditions/ja.md) - 以下が翻訳結果です。 Pikadditions ノードを使用すると、任意のオブジェクトや画像を動画に追加できます。動画をアップロードし、追加したい内容を指定するだけで、シームレスに統合された結果が生成されます。このノードは Pika API を利用して、自然な見た目で画像を動画に挿入します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | はい | - | 画像を追加する対象の動画です。 | -| `image` | IMAGE | はい | - | 動画に追加する画像です。 | -| `prompt_text` | STRING | はい | - | 動画に追加する内容を説明するテキストです。 | -| `negative_prompt` | STRING | はい | - | 動画内で避けたい内容を説明するテキストです。 | -| `seed` | INT | はい | 0 ～ 4294967295 | 再現可能な結果を得るためのランダムシード値です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `video` | 画像を追加する対象の動画です。 | VIDEO | はい | - | +| `image` | 動画に追加する画像です。 | IMAGE | はい | - | +| `prompt_text` | 動画に追加する内容を説明するテキストです。 | STRING | はい | - | +| `negative_prompt` | 動画内で避けたい内容を説明するテキストです。 | STRING | はい | - | +| `seed` | 再現可能な結果を得るためのランダムシード値です。 | INT | はい | 0 ～ 4294967295 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 画像が挿入された処理済みの動画です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 画像が挿入された処理済みの動画です。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikadditions/ja.md) --- **Source fingerprint (SHA-256):** `cf7bb4ee0a672e20c0ffc128fa95df43e05356aea03b2070f928a0263aff6234` diff --git a/ja/built-in-nodes/Pikaffects.mdx b/ja/built-in-nodes/Pikaffects.mdx index 328f95e91..7170d7ec9 100644 --- a/ja/built-in-nodes/Pikaffects.mdx +++ b/ja/built-in-nodes/Pikaffects.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Pikaffects" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaffects/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 --- @@ -15,19 +13,21 @@ Pikaffects ノードは、入力画像にさまざまな視覚効果を適用し ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | Pikaffect を適用する参照画像です。 | -| `pikaffect` | COMBO | はい | "Cake-ify"
"Crumble"
"Crush"
"Decapitate"
"Deflate"
"Dissolve"
"Explode"
"Eye-pop"
"Inflate"
"Levitate"
"Melt"
"Peel"
"Poke"
"Squish"
"Ta-da"
"Tear" | 画像に適用する特定の視覚効果です（デフォルト："Cake-ify"）。 | -| `prompt_text` | STRING | はい | - | 動画生成をガイドするテキスト説明です。 | -| `negative_prompt` | STRING | はい | - | 生成される動画で避けたい内容を記述するテキストです。 | -| `seed` | INT | はい | 0 ～ 4294967295 | 再現可能な結果を得るためのランダムシード値です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | Pikaffect を適用する参照画像です。 | IMAGE | はい | - | +| `pikaffect` | 画像に適用する特定の視覚効果です（デフォルト："Cake-ify"）。 | COMBO | はい | "Cake-ify"
"Crumble"
"Crush"
"Decapitate"
"Deflate"
"Dissolve"
"Explode"
"Eye-pop"
"Inflate"
"Levitate"
"Melt"
"Peel"
"Poke"
"Squish"
"Ta-da"
"Tear" | +| `prompt_text` | 動画生成をガイドするテキスト説明です。 | STRING | はい | - | +| `negative_prompt` | 生成される動画で避けたい内容を記述するテキストです。 | STRING | はい | - | +| `seed` | 再現可能な結果を得るためのランダムシード値です。 | INT | はい | 0 ～ 4294967295 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 適用された Pikaffect を含む生成動画です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 適用された Pikaffect を含む生成動画です。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaffects/ja.md) --- **Source fingerprint (SHA-256):** `68ebbee465763d463bf73678254eed38d37ebacb1c62d386bbe66961deffd5a8` diff --git a/ja/built-in-nodes/Pikaswaps.mdx b/ja/built-in-nodes/Pikaswaps.mdx index 33d85421c..5eff30547 100644 --- a/ja/built-in-nodes/Pikaswaps.mdx +++ b/ja/built-in-nodes/Pikaswaps.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Pikaswaps" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaswaps/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,22 +13,24 @@ Pika Swaps ノードは、動画内のオブジェクトや領域を新しい画 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | はい | - | オブジェクトを交換する対象の動画です。 | -| `image` | IMAGE | はい | - | 動画内のマスクされたオブジェクトを置き換えるために使用する画像です。 | -| `mask` | MASK | はい | - | 動画内の置き換え対象領域を定義するためにマスクを使用します。 | -| `prompt_text` | STRING | はい | - | 目的の置き換え内容を説明するテキストプロンプトです。 | -| `negative_prompt` | STRING | はい | - | 置き換えで避けたい内容を説明するテキストプロンプトです。 | -| `seed` | INT | はい | 0 ～ 4294967295 | 結果を一貫させるためのランダムシード値です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `video` | オブジェクトを交換する対象の動画です。 | VIDEO | はい | - | +| `image` | 動画内のマスクされたオブジェクトを置き換えるために使用する画像です。 | IMAGE | はい | - | +| `mask` | 動画内の置き換え対象領域を定義するためにマスクを使用します。 | MASK | はい | - | +| `prompt_text` | 目的の置き換え内容を説明するテキストプロンプトです。 | STRING | はい | - | +| `negative_prompt` | 置き換えで避けたい内容を説明するテキストプロンプトです。 | STRING | はい | - | +| `seed` | 結果を一貫させるためのランダムシード値です。 | INT | はい | 0 ～ 4294967295 | **注記:** このノードは、すべての入力パラメータを指定する必要があります。`video`、`image`、`mask` は連携して置き換え処理を定義し、マスクは動画内のどの領域を指定された画像で置き換えるかを指定します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 指定されたオブジェクトまたは領域が置き換えられた処理済みの動画です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 指定されたオブジェクトまたは領域が置き換えられた処理済みの動画です。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaswaps/ja.md) --- **Source fingerprint (SHA-256):** `007b7bc429fdada2fb8910392b056ae3a98d482cce9e280bdcd162ede497eb03` diff --git a/ja/built-in-nodes/PixverseImageToVideoNode.mdx b/ja/built-in-nodes/PixverseImageToVideoNode.mdx index 9d987a948..c4fb57933 100644 --- a/ja/built-in-nodes/PixverseImageToVideoNode.mdx +++ b/ja/built-in-nodes/PixverseImageToVideoNode.mdx @@ -5,32 +5,32 @@ sidebarTitle: "PixverseImageToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseImageToVideoNode/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！ 入力画像とテキストプロンプトに基づいて動画を生成します。このノードは画像を受け取り、指定されたモーションと品質設定を適用して、静止画像を動きのあるシーケンスに変換することでアニメーション動画を作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 動画に変換する入力画像 | -| `プロンプト` | STRING | はい | - | 動画生成のためのプロンプト | -| `品質` | COMBO | はい | `res_540p`
`res_1080p` | 動画品質の設定（デフォルト: res_540p） | -| `継続時間（秒）` | COMBO | はい | `dur_2`
`dur_5`
`dur_10` | 生成される動画の長さ（秒） | -| `モーションモード` | COMBO | はい | `normal`
`fast`
`slow`
`zoom_in`
`zoom_out`
`pan_left`
`pan_right`
`pan_up`
`pan_down`
`tilt_up`
`tilt_down`
`roll_clockwise`
`roll_counterclockwise` | 動画生成に適用されるモーションスタイル | -| `シード` | INT | はい | 0-2147483647 | 動画生成のシード値（デフォルト: 0） | -| `ネガティブプロンプト` | STRING | いいえ | - | 画像内で望ましくない要素を記述するオプションのテキスト | -| `PixVerseテンプレート` | CUSTOM | いいえ | - | PixVerseテンプレートノードで作成される、生成スタイルに影響を与えるオプションのテンプレート | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 動画に変換する入力画像 | IMAGE | はい | - | +| `プロンプト` | 動画生成のためのプロンプト | STRING | はい | - | +| `品質` | 動画品質の設定（デフォルト: res_540p） | COMBO | はい | `res_540p`
`res_1080p` | +| `継続時間（秒）` | 生成される動画の長さ（秒） | COMBO | はい | `dur_2`
`dur_5`
`dur_10` | +| `モーションモード` | 動画生成に適用されるモーションスタイル | COMBO | はい | `normal`
`fast`
`slow`
`zoom_in`
`zoom_out`
`pan_left`
`pan_right`
`pan_up`
`pan_down`
`tilt_up`
`tilt_down`
`roll_clockwise`
`roll_counterclockwise` | +| `シード` | 動画生成のシード値（デフォルト: 0） | INT | はい | 0-2147483647 | +| `ネガティブプロンプト` | 画像内で望ましくない要素を記述するオプションのテキスト | STRING | いいえ | - | +| `PixVerseテンプレート` | PixVerseテンプレートノードで作成される、生成スタイルに影響を与えるオプションのテンプレート | CUSTOM | いいえ | - | **注意:** 1080p品質を使用する場合、モーションモードは自動的にnormalに設定され、動画の長さは5秒に制限されます。5秒以外の長さの場合も、モーションモードは自動的にnormalに設定されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 入力画像とパラメータに基づいて生成された動画 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力画像とパラメータに基づいて生成された動画 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseImageToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `7630c662a2506fb0c8be0cb9c6bfdfcf0fc06d2b6f16b8636664d587affededc` diff --git a/ja/built-in-nodes/PixverseTemplateNode.mdx b/ja/built-in-nodes/PixverseTemplateNode.mdx index 1a5ad2541..32e052400 100644 --- a/ja/built-in-nodes/PixverseTemplateNode.mdx +++ b/ja/built-in-nodes/PixverseTemplateNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "PixverseTemplateNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTemplateNode/ja.md) - 以下が翻訳結果です。 PixVerse テンプレートノードを使用すると、PixVerse 動画生成で利用可能なテンプレートを選択できます。選択したテンプレート名を、PixVerse API が動画作成に必要とする対応するテンプレート ID に変換します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `テンプレート` | STRING | はい | 複数のオプションが利用可能 | PixVerse 動画生成に使用するテンプレートです。利用可能なオプションは、PixVerse システム内の定義済みテンプレートに対応しています。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `テンプレート` | PixVerse 動画生成に使用するテンプレートです。利用可能なオプションは、PixVerse システム内の定義済みテンプレートに対応しています。 | STRING | はい | 複数のオプションが利用可能 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `pixverse_template` | STRING | 選択したテンプレート名に対応するテンプレート ID です。他の PixVerse ノードで動画生成に使用できます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `pixverse_template` | 選択したテンプレート名に対応するテンプレート ID です。他の PixVerse ノードで動画生成に使用できます。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTemplateNode/ja.md) --- **Source fingerprint (SHA-256):** `d6ea1eb1cc9a7d33cf69f101990e601189726b9ef9e199fe211087f7070f35d0` diff --git a/ja/built-in-nodes/PixverseTextToVideoNode.mdx b/ja/built-in-nodes/PixverseTextToVideoNode.mdx index e73a9231f..465ba96bb 100644 --- a/ja/built-in-nodes/PixverseTextToVideoNode.mdx +++ b/ja/built-in-nodes/PixverseTextToVideoNode.mdx @@ -5,32 +5,32 @@ sidebarTitle: "PixverseTextToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/ja.md) - このドキュメントは AI によって生成されました。誤りや改善のための提案があれば、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md) テキストプロンプトと様々な生成パラメータに基づいて動画を生成します。このノードは PixVerse API を使用して動画コンテンツを作成し、アスペクト比、品質、長さ、モーションスタイルなどを制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | 動画生成のためのプロンプト（デフォルト: ""） | -| `アスペクト比` | COMBO | はい | PixverseAspectRatio のオプション | 生成される動画のアスペクト比 | -| `品質` | COMBO | はい | PixverseQuality のオプション | 動画の品質設定（デフォルト: PixverseQuality.res_540p） | -| `秒数` | COMBO | はい | PixverseDuration のオプション | 生成される動画の長さ（秒） | -| `モーションモード` | COMBO | はい | PixverseMotionMode のオプション | 動画生成のためのモーションスタイル | -| `シード` | INT | はい | 0 ～ 2147483647 | 動画生成のためのシード値（デフォルト: 0） | -| `ネガティブプロンプト` | STRING | いいえ | - | 画像内で望ましくない要素のオプションのテキスト説明（デフォルト: ""） | -| `PixVerse テンプレート` | CUSTOM | いいえ | - | PixVerse テンプレートノードによって作成された、生成スタイルに影響を与えるオプションのテンプレート | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 動画生成のためのプロンプト（デフォルト: ""） | STRING | はい | - | +| `アスペクト比` | 生成される動画のアスペクト比 | COMBO | はい | PixverseAspectRatio のオプション | +| `品質` | 動画の品質設定（デフォルト: PixverseQuality.res_540p） | COMBO | はい | PixverseQuality のオプション | +| `秒数` | 生成される動画の長さ（秒） | COMBO | はい | PixverseDuration のオプション | +| `モーションモード` | 動画生成のためのモーションスタイル | COMBO | はい | PixverseMotionMode のオプション | +| `シード` | 動画生成のためのシード値（デフォルト: 0） | INT | はい | 0 ～ 2147483647 | +| `ネガティブプロンプト` | 画像内で望ましくない要素のオプションのテキスト説明（デフォルト: ""） | STRING | いいえ | - | +| `PixVerse テンプレート` | PixVerse テンプレートノードによって作成された、生成スタイルに影響を与えるオプションのテンプレート | CUSTOM | いいえ | - | **注記:** 1080p 品質を使用する場合、モーションモードは自動的にノーマルに設定され、長さは 5 秒に制限されます。5 秒以外の長さの場合も、モーションモードは自動的にノーマルに設定されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `ab9264668f48533cb139abfb322e9a6e425a2ad7280da103a7fe0a7704158762` diff --git a/ja/built-in-nodes/PixverseTransitionVideoNode.mdx b/ja/built-in-nodes/PixverseTransitionVideoNode.mdx index 393bccb36..dc3706874 100644 --- a/ja/built-in-nodes/PixverseTransitionVideoNode.mdx +++ b/ja/built-in-nodes/PixverseTransitionVideoNode.mdx @@ -5,32 +5,32 @@ sidebarTitle: "PixverseTransitionVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/ja.md) - 以下が翻訳結果です。 PixVerse API を使用して、2つの入力画像間のトランジションビデオを生成します。開始画像と終了画像を指定すると、テキストプロンプトと選択した設定に基づいて、一方から他方へスムーズに移行するビデオを作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `first_frame` | IMAGE | はい | - | ビデオトランジションの開始画像 | -| `last_frame` | IMAGE | はい | - | ビデオトランジションの終了画像 | -| `プロンプト` | STRING | はい | - | ビデオ生成のためのプロンプト（デフォルト：空文字列） | -| `品質` | COMBO | はい | `"360p"`
`"540p"`
`"720p"
`"1080p"` | ビデオ品質設定（デフォルト：`"540p"`） | -| `継続時間（秒）` | COMBO | はい | `5`
`8` | ビデオの長さ（秒） | -| `モーションモード` | COMBO | はい | `"normal"`
`"fast"` | トランジションのモーションスタイル（デフォルト：`"normal"`） | -| `シード` | INT | はい | 0 ～ 2147483647 | ビデオ生成のシード値（デフォルト：0） | -| `ネガティブプロンプト` | STRING | いいえ | - | 画像内で望ましくない要素を記述するオプションのテキスト（デフォルト：空文字列） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `first_frame` | ビデオトランジションの開始画像 | IMAGE | はい | - | +| `last_frame` | ビデオトランジションの終了画像 | IMAGE | はい | - | +| `プロンプト` | ビデオ生成のためのプロンプト（デフォルト：空文字列） | STRING | はい | - | +| `品質` | ビデオ品質設定（デフォルト：`"540p"`） | COMBO | はい | `"360p"`
`"540p"`
`"720p"
`"1080p"` | +| `継続時間（秒）` | ビデオの長さ（秒） | COMBO | はい | `5`
`8` | +| `モーションモード` | トランジションのモーションスタイル（デフォルト：`"normal"`） | COMBO | はい | `"normal"`
`"fast"` | +| `シード` | ビデオ生成のシード値（デフォルト：0） | INT | はい | 0 ～ 2147483647 | +| `ネガティブプロンプト` | 画像内で望ましくない要素を記述するオプションのテキスト（デフォルト：空文字列） | STRING | いいえ | - | **パラメータ制限に関する注意：** 1080p 品質を使用する場合、モーションモードは自動的に `"normal"` に設定され、ビデオの長さは5秒に制限されます。5秒以外の長さを指定した場合も、モーションモードは自動的に `"normal"` に設定されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成されたトランジションビデオ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成されたトランジションビデオ | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `0b7f1e11d513c543df144031452bd9cd80e73c596aee8ffe9701bf471bf5983c` diff --git a/ja/built-in-nodes/PolyexponentialScheduler.mdx b/ja/built-in-nodes/PolyexponentialScheduler.mdx index ef126b949..d517392ca 100644 --- a/ja/built-in-nodes/PolyexponentialScheduler.mdx +++ b/ja/built-in-nodes/PolyexponentialScheduler.mdx @@ -5,21 +5,21 @@ sidebarTitle: "PolyexponentialScheduler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PolyexponentialScheduler/ja.md) - PolyexponentialScheduler ノードは、多項式指数ノイズスケジュールに基づいてノイズレベル（シグマ）のシーケンスを生成するように設計されています。このスケジュールはシグマの対数における多項式関数であり、拡散プロセス全体を通じてノイズレベルを柔軟かつカスタマイズ可能な進行で変化させることができます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-------------|-------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| `ステップ` | INT | 拡散プロセスにおけるステップ数を指定し、生成されるノイズレベルの粒度に影響を与えます。 | -| `シグママックス` | FLOAT | 最大ノイズレベルであり、ノイズスケジュールの上限を設定します。 | -| `シグマミン` | FLOAT | 最小ノイズレベルであり、ノイズスケジュールの下限を設定します。 | -| `ロー` | FLOAT | 多項式指数ノイズスケジュールの形状を制御するパラメータで、最小値と最大値の間でノイズレベルがどのように進行するかに影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `ステップ` | 拡散プロセスにおけるステップ数を指定し、生成されるノイズレベルの粒度に影響を与えます。 | INT | +| `シグママックス` | 最大ノイズレベルであり、ノイズスケジュールの上限を設定します。 | FLOAT | +| `シグマミン` | 最小ノイズレベルであり、ノイズスケジュールの下限を設定します。 | FLOAT | +| `ロー` | 多項式指数ノイズスケジュールの形状を制御するパラメータで、最小値と最大値の間でノイズレベルがどのように進行するかに影響を与えます。 | FLOAT | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-----------------------------------------------------------------------------| -| `sigmas` | SIGMAS | 指定された多項式指数ノイズスケジュールに合わせて調整されたノイズレベル（シグマ）のシーケンスを出力します。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `sigmas` | 指定された多項式指数ノイズスケジュールに合わせて調整されたノイズレベル（シグマ）のシーケンスを出力します。 | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PolyexponentialScheduler/ja.md) diff --git a/ja/built-in-nodes/PorterDuffImageComposite.mdx b/ja/built-in-nodes/PorterDuffImageComposite.mdx index 9d797d865..ecf438289 100644 --- a/ja/built-in-nodes/PorterDuffImageComposite.mdx +++ b/ja/built-in-nodes/PorterDuffImageComposite.mdx @@ -5,25 +5,25 @@ sidebarTitle: "PorterDuffImageComposite" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PorterDuffImageComposite/ja.md) - 以下は、指定されたルールに従った日本語翻訳です。 PorterDuffImageComposite ノードは、Porter-Duff 合成オペレーターを使用して画像合成を実行するために設計されています。このノードは、様々なブレンドモードに従ってソース画像とデスティネーション画像を組み合わせることを可能にし、画像の透明度を操作したり、画像を創造的に重ね合わせることで、複雑な視覚効果を生成できます。 ## 入力 -| パラメータ | データ型 | 説明 | -| --------- | ------------ | ----------- | -| `ソース` | `IMAGE` | デスティネーション画像の上に合成されるソース画像テンソルです。選択された合成モードに基づいて、最終的な視覚結果を決定する上で重要な役割を果たします。 | -| `ソースアルファ` | `MASK` | ソース画像のアルファチャンネルで、ソース画像の各ピクセルの透明度を指定します。ソース画像がデスティネーション画像とどのようにブレンドされるかに影響を与えます。 | -| `デスティネーション` | `IMAGE` | ソース画像が合成される背景として機能するデスティネーション画像テンソルです。ブレンドモードに基づいて、最終的な合成画像に寄与します。 | -| `デスティネーションアルファ` | `MASK` | デスティネーション画像のアルファチャンネルで、デスティネーション画像のピクセルの透明度を定義します。ソース画像とデスティネーション画像のブレンドに影響を与えます。 | -| `モード` | COMBO[STRING] | 適用する Porter-Duff 合成モードで、ソース画像とデスティネーション画像がどのようにブレンドされるかを決定します。各モードは異なる視覚効果を生み出します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `ソース` | デスティネーション画像の上に合成されるソース画像テンソルです。選択された合成モードに基づいて、最終的な視覚結果を決定する上で重要な役割を果たします。 | `IMAGE` | +| `ソースアルファ` | ソース画像のアルファチャンネルで、ソース画像の各ピクセルの透明度を指定します。ソース画像がデスティネーション画像とどのようにブレンドされるかに影響を与えます。 | `MASK` | +| `デスティネーション` | ソース画像が合成される背景として機能するデスティネーション画像テンソルです。ブレンドモードに基づいて、最終的な合成画像に寄与します。 | `IMAGE` | +| `デスティネーションアルファ` | デスティネーション画像のアルファチャンネルで、デスティネーション画像のピクセルの透明度を定義します。ソース画像とデスティネーション画像のブレンドに影響を与えます。 | `MASK` | +| `モード` | 適用する Porter-Duff 合成モードで、ソース画像とデスティネーション画像がどのようにブレンドされるかを決定します。各モードは異なる視覚効果を生み出します。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -| --------- | ------------ | ----------- | -| `image` | `IMAGE` | 指定された Porter-Duff モードを適用した結果得られる合成画像です。 | -| `mask` | `MASK` | 合成画像のアルファチャンネルで、各ピクセルの透明度を示します。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `image` | 指定された Porter-Duff モードを適用した結果得られる合成画像です。 | `IMAGE` | +| `mask` | 合成画像のアルファチャンネルで、各ピクセルの透明度を示します。 | `MASK` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PorterDuffImageComposite/ja.md) diff --git a/ja/built-in-nodes/Preview3D.mdx b/ja/built-in-nodes/Preview3D.mdx index 70c3e74f2..a062db0b9 100644 --- a/ja/built-in-nodes/Preview3D.mdx +++ b/ja/built-in-nodes/Preview3D.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Preview3D" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3D/ja.md) - 以下は、提供された英語ドキュメントを日本語に翻訳したものです。 Preview3Dノードは、主に3Dモデルの出力をプレビューするために使用されます。このノードは2つの入力を受け取ります。1つはLoad3Dノードからの`camera_info`、もう1つは3Dモデルファイルへのパスです。モデルファイルのパスは、`ComfyUI/output`フォルダ内に配置されている必要があります。 @@ -20,10 +18,10 @@ Preview3Dノードは、主に3Dモデルの出力をプレビューするため ## 入力 -| パラメータ名 | 型 | 説明 | -| ------------ | ------------- | ------------------------------------------ | -| camera_info | LOAD3D_CAMERA | カメラ情報 | -| model_file | LOAD3D_CAMERA | `ComfyUI/output/` 配下のモデルファイルパス | +| パラメータ名 | 説明 | 型 | +| --- | --- | --- | +| camera_info | カメラ情報 | LOAD3D_CAMERA | +| model_file | `ComfyUI/output/` 配下のモデルファイルパス | LOAD3D_CAMERA | ## キャンバス領域の説明 @@ -109,4 +107,6 @@ Preview3Dノードは、主に3Dモデルの出力をプレビューするため ![メニュー_エクスポート](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) -このメニューは、モデル形式をすばやく変換およびエクスポートする機能を提供します。 \ No newline at end of file +このメニューは、モデル形式をすばやく変換およびエクスポートする機能を提供します。 + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3D/ja.md) diff --git a/ja/built-in-nodes/Preview3DAdvanced.mdx b/ja/built-in-nodes/Preview3DAdvanced.mdx new file mode 100644 index 000000000..4fd3b02b9 --- /dev/null +++ b/ja/built-in-nodes/Preview3DAdvanced.mdx @@ -0,0 +1,36 @@ +--- +title: "Preview3DAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Preview3DAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Preview3DAdvanced" +icon: "circle" +mode: wide +--- +# プレビュー3D（詳細設定） + +このノードは、カメラとモデル情報の出力を伴う高度な3Dモデルプレビューを提供します。3Dモデルを一時ファイルに保存してUIに表示するとともに、モデルデータ、カメラ情報、ビューポートの寸法を後続の処理に渡します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `model_3d` | 上流の3Dノードからの3Dモデルファイルです。 | FILE3D | はい | GLB、GLTF、FBX、OBJ、STL、USDZ、またはサポートされている任意の3D形式 | +| `3Dモデル情報` | オプションのモデル情報メタデータです。 | LOAD3DMODELINFO | いいえ | - | +| `viewport_state` | カメラとモデル情報を含む現在のビューポート状態です。 | LOAD3D | はい | - | +| `カメラ情報` | 3Dビュー用のオプションのカメラ設定です。 | LOAD3DCAMERA | いいえ | - | +| `幅` | プレビューの幅（ピクセル単位）です。 | INT | はい | 1～4096（デフォルト：1024） | +| `高さ` | プレビューの高さ（ピクセル単位）です。 | INT | はい | 1～4096（デフォルト：1024） | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `カメラ情報` | 入力から渡された3Dモデルファイルです。 | FILE3D | +| `3Dモデル情報` | 入力またはビューポート状態からのモデル情報メタデータです。 | LOAD3DMODELINFO | +| `幅` | 入力またはビューポート状態からのカメラ設定です。 | LOAD3DCAMERA | +| `高さ` | プレビューの幅（ピクセル単位）です。 | INT | +| `高さ` | プレビューの高さ（ピクセル単位）です。 | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3DAdvanced/ja.md) + +--- +**Source fingerprint (SHA-256):** `7efe8720f88f7d6234387cd633ea629cbf43a0abea1a9aca6c5dcd43bf7f2145` diff --git a/ja/built-in-nodes/Preview3DAnimation.mdx b/ja/built-in-nodes/Preview3DAnimation.mdx index 92e595d4d..3f2167b29 100644 --- a/ja/built-in-nodes/Preview3DAnimation.mdx +++ b/ja/built-in-nodes/Preview3DAnimation.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Preview3DAnimation" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3DAnimation/ja.md) - 以下は、ご指定の翻訳ルールに従って日本語に翻訳したドキュメントです。 Preview3DAnimationノードは、主に3Dモデルの出力をプレビューするために使用されます。このノードは2つの入力を受け取ります。1つはLoad3Dノードからの`camera_info`、もう1つは3Dモデルファイルへのパスです。モデルファイルのパスは、`ComfyUI/output`フォルダ内に存在する必要があります。 @@ -20,10 +18,10 @@ Preview3DAnimationノードは、主に3Dモデルの出力をプレビューす ## 入力 -| パラメータ名 | 型 | 説明 | -| -------------- | -------------- | -------------------------------------------- | -| camera_info | LOAD3D_CAMERA | カメラ情報 | -| model_file | STRING | `ComfyUI/output/` 配下のモデルファイルパス | +| パラメータ名 | 説明 | 型 | +| --- | --- | --- | +| camera_info | カメラ情報 | LOAD3D_CAMERA | +| model_file | `ComfyUI/output/` 配下のモデルファイルパス | STRING | ## キャンバス領域の説明 @@ -109,4 +107,6 @@ Preview3DAnimationノードは、主に3Dモデルの出力をプレビューす ![メニュー_エクスポート](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) -このメニューは、モデルフォーマットをすばやく変換およびエクスポートする機能を提供します。 \ No newline at end of file +このメニューは、モデルフォーマットをすばやく変換およびエクスポートする機能を提供します。 + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3DAnimation/ja.md) diff --git a/ja/built-in-nodes/PreviewAny.mdx b/ja/built-in-nodes/PreviewAny.mdx index d9a5a95f7..e18c50bec 100644 --- a/ja/built-in-nodes/PreviewAny.mdx +++ b/ja/built-in-nodes/PreviewAny.mdx @@ -5,23 +5,23 @@ sidebarTitle: "PreviewAny" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAny/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAny/en.md) PreviewAnyノードは、任意の入力データ型のプレビューをテキスト形式で表示します。あらゆるデータ型を入力として受け付け、読み取り可能な文字列表現に変換して表示します。このノードは、文字列、数値、ブーリアン、複雑なオブジェクトなど、さまざまなデータ型を自動的に処理し、JSON形式へのシリアライズを試みます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ソース` | ANY | はい | 任意のデータ型 | プレビュー表示のために任意の入力データ型を受け付けます | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ソース` | プレビュー表示のために任意の入力データ型を受け付けます | ANY | はい | 任意のデータ型 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `UI Text Display` | STRING | 入力データをテキスト形式に変換してユーザーインターフェースに表示します。また、テキストを文字列出力として返し、後続の処理に利用できるようにします。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `UI Text Display` | 入力データをテキスト形式に変換してユーザーインターフェースに表示します。また、テキストを文字列出力として返し、後続の処理に利用できるようにします。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAny/ja.md) --- **Source fingerprint (SHA-256):** `6011c39a31ef9a6786a1dff6e135edcf35def2f715b49301dd49a6467f859271` diff --git a/ja/built-in-nodes/PreviewAudio.mdx b/ja/built-in-nodes/PreviewAudio.mdx index bdf2bf729..36db68739 100644 --- a/ja/built-in-nodes/PreviewAudio.mdx +++ b/ja/built-in-nodes/PreviewAudio.mdx @@ -5,23 +5,23 @@ sidebarTitle: "PreviewAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAudio/ja.md) - 以下が翻訳結果です。 PreviewAudioノードは、インターフェース上で直接再生可能な一時的なオーディオプレビューを作成します。オーディオデータを入力として受け取り、プレビューウィジェットを生成することで、ユーザーが永続的なファイルを保存することなくオーディオ出力を聴くことを可能にします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `オーディオ` | AUDIO | はい | - | プレビューするオーディオデータ | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `オーディオ` | プレビューするオーディオデータ | AUDIO | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ui` | UI | インターフェース上にオーディオプレイヤーウィジェットを表示し、オーディオをプレビューします | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ui` | インターフェース上にオーディオプレイヤーウィジェットを表示し、オーディオをプレビューします | UI | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAudio/ja.md) --- **Source fingerprint (SHA-256):** `3f4b38e9768abde9d7f406c5442660679b80532799dfff8af20b2ea178268582` diff --git a/ja/built-in-nodes/PreviewGaussianSplat.mdx b/ja/built-in-nodes/PreviewGaussianSplat.mdx new file mode 100644 index 000000000..f7c5fc82b --- /dev/null +++ b/ja/built-in-nodes/PreviewGaussianSplat.mdx @@ -0,0 +1,36 @@ +--- +title: "PreviewGaussianSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PreviewGaussianSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PreviewGaussianSplat" +icon: "circle" +mode: wide +--- +# PreviewGaussianSplat + +PreviewGaussianSplat ノードを使用すると、ComfyUI インターフェース内で3Dガウシアンスプラットファイルをプレビューできます。様々なガウシアンスプラット形式の3Dモデルファイルを受け入れ、3Dプレビューウィンドウにレンダリングし、モデルデータをそのまま後続の処理に渡します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `model_3d` | ガウシアンスプラット3Dファイル | FILE3D | はい | 対応形式: splat, ply, spz, ksplat | +| `model_3d_info` | 3Dモデルに関するオプションのメタデータ情報 | LOAD3DMODELINFO | いいえ | - | +| `viewport_state` | カメラとモデル情報を含む3Dビューポートの現在の状態 | LOAD3D | はい | - | +| `camera_info` | プレビュー用のオプションのカメラ情報 | LOAD3DCAMERA | いいえ | - | +| `width` | プレビューレンダリングの幅（ピクセル単位、デフォルト: 1024） | INT | はい | 1 ～ 4096 | +| `height` | プレビューレンダリングの高さ（ピクセル単位、デフォルト: 1024） | INT | はい | 1 ～ 4096 | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `model_3d` | 入力された3Dガウシアンスプラットファイルをそのまま出力 | FILE3D | +| `model_3d_info` | 入力から取得、またはビューポート状態から導出された3Dモデルのメタデータ情報 | LOAD3DMODELINFO | +| `camera_info` | 入力から取得、またはビューポート状態から導出されたプレビュー用のカメラ情報 | LOAD3DCAMERA | +| `width` | プレビューレンダリングの幅 | INT | +| `height` | プレビューレンダリングの高さ | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewGaussianSplat/ja.md) + +--- +**Source fingerprint (SHA-256):** `7b79e9ab25858e7db6e999313cc11226895aeb4d7fee414f56f0d5fd2363b485` diff --git a/ja/built-in-nodes/PreviewImage.mdx b/ja/built-in-nodes/PreviewImage.mdx index 7e643fd3c..8302a248f 100644 --- a/ja/built-in-nodes/PreviewImage.mdx +++ b/ja/built-in-nodes/PreviewImage.mdx @@ -5,18 +5,18 @@ sidebarTitle: "PreviewImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewImage/ja.md) - ## 概要 PreviewImageノードは、一時的なプレビュー画像を作成するために設計されています。各画像に対して一意の一時ファイル名を自動生成し、指定された圧縮レベルで画像を圧縮して一時ディレクトリに保存します。この機能は、元のファイルに影響を与えることなく、処理中の画像のプレビューを生成する場合に特に便利です。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `画像` | `IMAGE` | 「images」入力は、処理して一時的なプレビュー画像として保存する画像を指定します。これはノードの主要な入力であり、プレビュー生成処理の対象となる画像を決定します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 「images」入力は、処理して一時的なプレビュー画像として保存する画像を指定します。これはノードの主要な入力であり、プレビュー生成処理の対象となる画像を決定します。 | `IMAGE` | ## 出力 -このノードには出力タイプはありません。 \ No newline at end of file +このノードには出力タイプはありません。 + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewImage/ja.md) diff --git a/ja/built-in-nodes/PreviewPointCloud.mdx b/ja/built-in-nodes/PreviewPointCloud.mdx new file mode 100644 index 000000000..0b3088a77 --- /dev/null +++ b/ja/built-in-nodes/PreviewPointCloud.mdx @@ -0,0 +1,36 @@ +--- +title: "PreviewPointCloud - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PreviewPointCloud node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PreviewPointCloud" +icon: "circle" +mode: wide +--- +# プレビューポイントクラウド + +Preview Point Cloud ノードを使用すると、ComfyUI インターフェース内で3Dポイントクラウドファイルを表示できます。このノードはポイントクラウドを一時ファイルに保存し、3Dプレビューウィンドウに表示するとともに、モデルデータとビューポート設定を後続の処理に渡します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `model_3d` | ポイントクラウドファイル (.ply) | FILE3D | はい | - | +| `model_3d_info` | 3Dモデルに関する情報 | LOAD3DMODELINFO | いいえ | - | +| `viewport_state` | 現在のビューポート状態 | LOAD3D | はい | - | +| `camera_info` | 3Dビューのカメラ情報 | LOAD3DCAMERA | いいえ | - | +| `width` | プレビューウィンドウの幅（デフォルト：1024） | INT | はい | 1 ～ 4096 | +| `height` | プレビューウィンドウの高さ（デフォルト：1024） | INT | はい | 1 ～ 4096 | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `model_3d` | ポイントクラウドモデルデータ | FILE3D | +| `model_3d_info` | 3Dモデルに関する情報 | LOAD3DMODELINFO | +| `camera_info` | 3Dビューのカメラ情報 | LOAD3DCAMERA | +| `width` | プレビューウィンドウの幅 | INT | +| `height` | プレビューウィンドウの高さ | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewPointCloud/ja.md) + +--- +**Source fingerprint (SHA-256):** `f3121511841d1962aad881c0ac5b93f24842bf4810e84fe241330e9eab90334a` diff --git a/ja/built-in-nodes/PrimitiveBoolean.mdx b/ja/built-in-nodes/PrimitiveBoolean.mdx index fe8c94946..68e557c3d 100644 --- a/ja/built-in-nodes/PrimitiveBoolean.mdx +++ b/ja/built-in-nodes/PrimitiveBoolean.mdx @@ -5,23 +5,23 @@ sidebarTitle: "PrimitiveBoolean" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoolean/ja.md) - このドキュメントはAIが生成しました。誤りや改善の提案があれば、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoolean/en.md) ブールノードは、ワークフローを通じてブール値（true/false）を渡すためのシンプルな方法を提供します。ブール値の入力を受け取り、その値を変更せずにそのまま出力することで、他のノードのブールパラメータを制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `値` | BOOLEAN | はい | true
false | ノードを通過させるブール値 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `値` | ノードを通過させるブール値 | BOOLEAN | はい | true
false | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | BOOLEAN | 入力として提供されたものと同じブール値 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力として提供されたものと同じブール値 | BOOLEAN | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoolean/ja.md) --- **Source fingerprint (SHA-256):** `3913c2e23480710c9c9f003538b89ed0ab73cb4b47c587c5bf884b9c666999e0` diff --git a/ja/built-in-nodes/PrimitiveBoundingBox.mdx b/ja/built-in-nodes/PrimitiveBoundingBox.mdx index 5bc19b9ab..66091cac0 100644 --- a/ja/built-in-nodes/PrimitiveBoundingBox.mdx +++ b/ja/built-in-nodes/PrimitiveBoundingBox.mdx @@ -5,24 +5,24 @@ sidebarTitle: "PrimitiveBoundingBox" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoundingBox/ja.md) - PrimitiveBoundingBox ノードは、位置とサイズによって定義される単純な矩形領域を作成します。左上隅の X 座標と Y 座標、および幅と高さの値を受け取り、ワークフロー内の他のノードで使用できるバウンディングボックスのデータ構造を出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `x` | INT | はい | 0 ～ 8192 | バウンディングボックスの左上隅の X 座標（デフォルト：0）。 | -| `y` | INT | はい | 0 ～ 8192 | バウンディングボックスの左上隅の Y 座標（デフォルト：0）。 | -| `width` | INT | はい | 1 ～ 8192 | バウンディングボックスの幅（デフォルト：512）。 | -| `height` | INT | はい | 1 ～ 8192 | バウンディングボックスの高さ（デフォルト：512）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `x` | バウンディングボックスの左上隅の X 座標（デフォルト：0）。 | INT | はい | 0 ～ 8192 | +| `y` | バウンディングボックスの左上隅の Y 座標（デフォルト：0）。 | INT | はい | 0 ～ 8192 | +| `width` | バウンディングボックスの幅（デフォルト：512）。 | INT | はい | 1 ～ 8192 | +| `height` | バウンディングボックスの高さ（デフォルト：512）。 | INT | はい | 1 ～ 8192 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `bounding_box` | BOUNDING_BOX | 定義された矩形の `x`、`y`、`width`、`height` プロパティを含むデータ構造。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `bounding_box` | 定義された矩形の `x`、`y`、`width`、`height` プロパティを含むデータ構造。 | BOUNDING_BOX | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoundingBox/ja.md) --- **Source fingerprint (SHA-256):** `715f1a2bd650ecd6ba2ea3c1d54636bc32dff4fb4aec8f088ee9b0994809412c` diff --git a/ja/built-in-nodes/PrimitiveFloat.mdx b/ja/built-in-nodes/PrimitiveFloat.mdx index e6c5dadd9..4c7f3fe2a 100644 --- a/ja/built-in-nodes/PrimitiveFloat.mdx +++ b/ja/built-in-nodes/PrimitiveFloat.mdx @@ -5,21 +5,21 @@ sidebarTitle: "PrimitiveFloat" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveFloat/ja.md) - PrimitiveFloatノードは、ワークフロー内で使用できる浮動小数点数値を作成します。単一の数値入力を受け取り、その値をそのまま出力することで、ComfyUIパイプライン内の異なるノード間で浮動小数点値を定義して受け渡すことができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|------|-------|------| -| `値` | FLOAT | はい | -sys.maxsize ～ sys.maxsize（ステップ：0.1） | 出力する浮動小数点数値（デフォルト：0.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `値` | 出力する浮動小数点数値（デフォルト：0.0） | FLOAT | はい | -sys.maxsize ～ sys.maxsize（ステップ：0.1） | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|---------|------| -| `output` | FLOAT | 入力された浮動小数点数値 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力された浮動小数点数値 | FLOAT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveFloat/ja.md) --- **Source fingerprint (SHA-256):** `a12473ac0efac903249f249770bec92a562b1ef6dede45fc0296e0e397a0754f` diff --git a/ja/built-in-nodes/PrimitiveInt.mdx b/ja/built-in-nodes/PrimitiveInt.mdx index 1b8a8a326..b3c014d4b 100644 --- a/ja/built-in-nodes/PrimitiveInt.mdx +++ b/ja/built-in-nodes/PrimitiveInt.mdx @@ -5,21 +5,21 @@ sidebarTitle: "PrimitiveInt" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveInt/ja.md) - PrimitiveIntノードは、ワークフロー内で整数値を扱うためのシンプルな方法を提供します。整数値の入力を受け取り、同じ値を出力することで、ノード間で整数パラメーターを渡したり、他の操作に特定の数値を設定するのに便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `値` | INT | はい | -9223372036854775807 ～ 9223372036854775807 | 出力する整数値（デフォルト：0） | +| パラメーター | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `値` | 出力する整数値（デフォルト：0） | INT | はい | -9223372036854775807 ～ 9223372036854775807 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | INT | 入力された整数値がそのまま出力されます | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力された整数値がそのまま出力されます | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveInt/ja.md) --- **Source fingerprint (SHA-256):** `13b5ff6703498fd37ae48d574e010cf78aa2bfc514b68c34b2cf6740ed75c834` diff --git a/ja/built-in-nodes/PrimitiveString.mdx b/ja/built-in-nodes/PrimitiveString.mdx index 48aed3e5f..cf98fe2f2 100644 --- a/ja/built-in-nodes/PrimitiveString.mdx +++ b/ja/built-in-nodes/PrimitiveString.mdx @@ -5,23 +5,23 @@ sidebarTitle: "PrimitiveString" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveString/ja.md) - このドキュメントはAI生成です。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveString/en.md) Stringノードは、ワークフロー内でテキストデータを簡単に入力および受け渡しする方法を提供します。テキスト文字列を入力として受け取り、変更せずに同じ文字列を出力するため、文字列パラメータを必要とする他のノードにテキスト入力を提供するのに便利です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `値` | STRING | はい | 任意のテキスト | ノードを通過させるテキスト文字列 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `値` | ノードを通過させるテキスト文字列 | STRING | はい | 任意のテキスト | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | 入力として提供されたものと同じテキスト文字列 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力として提供されたものと同じテキスト文字列 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveString/ja.md) --- **Source fingerprint (SHA-256):** `eb99ed1b8572c0d28df7185d64a35dc71488459dcd11a46f81c5a1f202b25d62` diff --git a/ja/built-in-nodes/PrimitiveStringMultiline.mdx b/ja/built-in-nodes/PrimitiveStringMultiline.mdx index 69b07f349..9da01430d 100644 --- a/ja/built-in-nodes/PrimitiveStringMultiline.mdx +++ b/ja/built-in-nodes/PrimitiveStringMultiline.mdx @@ -5,23 +5,23 @@ sidebarTitle: "PrimitiveStringMultiline" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveStringMultiline/ja.md) - ## 概要 PrimitiveStringMultiline ノードは、複数行のテキスト入力フィールドを提供し、ワークフロー内で文字列値を入力および受け渡しするために使用します。このノードは複数行にわたるテキスト入力を受け付け、入力された文字列値をそのまま出力します。長いテキストコンテンツや複数行にわたるフォーマット済みテキストを入力する必要がある場合に便利です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `値` | STRING | はい | なし | 複数行にわたるテキスト入力値 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `値` | 複数行にわたるテキスト入力値 | STRING | はい | なし | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | 入力として提供されたものと同じ文字列値 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力として提供されたものと同じ文字列値 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveStringMultiline/ja.md) --- **Source fingerprint (SHA-256):** `a2faaf366d6316d659b749ec6077b944f9b0f1ad702d699acc3897aef842b937` diff --git a/ja/built-in-nodes/QuadrupleCLIPLoader.mdx b/ja/built-in-nodes/QuadrupleCLIPLoader.mdx index 11933febf..a4244cb4b 100644 --- a/ja/built-in-nodes/QuadrupleCLIPLoader.mdx +++ b/ja/built-in-nodes/QuadrupleCLIPLoader.mdx @@ -5,8 +5,6 @@ sidebarTitle: "QuadrupleCLIPLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuadrupleCLIPLoader/ja.md) - 以下は、ご指定の翻訳ルールに従った日本語訳です。 --- @@ -15,4 +13,6 @@ Quadruple CLIP Loader（QuadrupleCLIPLoader）は、ComfyUI のコアノード このノードは4つのCLIPモデルを必要とし、パラメータ `clip_name1`、`clip_name2`、`clip_name3`、`clip_name4` に対応します。また、後続のノードにCLIPモデルの出力を提供します。 -このノードは、`ComfyUI/models/text_encoders` フォルダ内にあるモデルを検出します。さらに、extra_model_paths.yaml ファイルで設定された追加パスからもモデルを読み取ります。モデルを追加した後は、**ComfyUI インターフェースをリロード**して、対応するフォルダ内のモデルファイルを読み取らせる必要がある場合があります。 \ No newline at end of file +このノードは、`ComfyUI/models/text_encoders` フォルダ内にあるモデルを検出します。さらに、extra_model_paths.yaml ファイルで設定された追加パスからもモデルを読み取ります。モデルを追加した後は、**ComfyUI インターフェースをリロード**して、対応するフォルダ内のモデルファイルを読み取らせる必要がある場合があります。 + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuadrupleCLIPLoader/ja.md) diff --git a/ja/built-in-nodes/QuiverImageToSVGNode.mdx b/ja/built-in-nodes/QuiverImageToSVGNode.mdx index ceaab7bbe..a4edaa407 100644 --- a/ja/built-in-nodes/QuiverImageToSVGNode.mdx +++ b/ja/built-in-nodes/QuiverImageToSVGNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "QuiverImageToSVGNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverImageToSVGNode/ja.md) - このノードは、Quiver AIのベクトル化モデルを使用して、ラスター画像をスケーラブルベクターグラフィック（SVG）に変換します。画像を外部APIに送信し、処理後にベクトル化された結果を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | 該当なし | ベクトル化する入力画像です。 | -| `auto_crop` | BOOLEAN | いいえ | `True`
`False` | 主要な被写体に自動的にクロップします。これは高度なパラメータです（デフォルト：`False`）。 | -| `model` | DYNAMICCOMBO | はい | 複数のオプションから選択可能 | SVGベクトル化に使用するモデルです。モデルを選択すると、そのモデル固有の追加パラメータが表示されます：`target_size`（正方形リサイズのターゲットピクセル数、デフォルト：1024、範囲：128～4096）、`temperature`、`top_p`、`presence_penalty`。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード値です。実際の結果はシード値に関係なく非決定的です。このパラメータには「生成後の制御」機能があります（デフォルト：0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | ベクトル化する入力画像です。 | IMAGE | はい | 該当なし | +| `auto_crop` | 主要な被写体に自動的にクロップします。これは高度なパラメータです（デフォルト：`False`）。 | BOOLEAN | いいえ | `True`
`False` | +| `model` | SVGベクトル化に使用するモデルです。モデルを選択すると、そのモデル固有の追加パラメータが表示されます：`target_size`（正方形リサイズのターゲットピクセル数、デフォルト：1024、範囲：128～4096）、`temperature`、`top_p`、`presence_penalty`。 | DYNAMICCOMBO | はい | 複数のオプションから選択可能 | +| `seed` | ノードを再実行するかどうかを決定するシード値です。実際の結果はシード値に関係なく非決定的です。このパラメータには「生成後の制御」機能があります（デフォルト：0）。 | INT | いいえ | 0 ～ 2147483647 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `SVG` | SVG | ベクトル化されたSVG出力です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `SVG` | ベクトル化されたSVG出力です。 | SVG | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverImageToSVGNode/ja.md) --- **Source fingerprint (SHA-256):** `4539277fd6c23aef149c44eeafca4d373cad658d85872de0883245eb4f2479e8` diff --git a/ja/built-in-nodes/QuiverTextToSVGNode.mdx b/ja/built-in-nodes/QuiverTextToSVGNode.mdx index 5f7c22430..a1048cc90 100644 --- a/ja/built-in-nodes/QuiverTextToSVGNode.mdx +++ b/ja/built-in-nodes/QuiverTextToSVGNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "QuiverTextToSVGNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverTextToSVGNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,21 +13,23 @@ Quiver Text to SVG ノードは、Quiver AI のモデルを使用して、テキ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | N/A | 生成したいSVG出力のテキスト説明。何を生成するかの主要な指示です。 | -| `instructions` | STRING | いいえ | N/A | 追加のスタイルやフォーマットのガイダンス。これはオプションの高度なパラメータです。 | -| `reference_images` | IMAGE | いいえ | 0～4枚 | 生成をガイドするための最大4枚の参照画像。これはオプションの入力です。 | -| `model` | COMBO | はい | `"Quiver SVG v1"`
`"Quiver SVG v1 Max"`
`"Quiver SVG v1 Preview"` | SVG生成に使用するモデル。利用可能なオプションはQuiver APIによって決まります。 | -| `seed` | INT | はい | 0～2147483647 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です。デフォルト：0。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | 生成したいSVG出力のテキスト説明。何を生成するかの主要な指示です。 | STRING | はい | N/A | +| `instructions` | 追加のスタイルやフォーマットのガイダンス。これはオプションの高度なパラメータです。 | STRING | いいえ | N/A | +| `reference_images` | 生成をガイドするための最大4枚の参照画像。これはオプションの入力です。 | IMAGE | いいえ | 0～4枚 | +| `model` | SVG生成に使用するモデル。利用可能なオプションはQuiver APIによって決まります。 | COMBO | はい | `"Quiver SVG v1"`
`"Quiver SVG v1 Max"`
`"Quiver SVG v1 Preview"` | +| `seed` | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です。デフォルト：0。 | INT | はい | 0～2147483647 | **注記：** `reference_images` 入力は最大4枚の画像を受け付けます。それ以上提供された場合、ノードはエラーを発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `SVG` | SVG | 生成されたスケーラブルベクターグラフィック（SVG）画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `SVG` | 生成されたスケーラブルベクターグラフィック（SVG）画像。 | SVG | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverTextToSVGNode/ja.md) --- **Source fingerprint (SHA-256):** `634758797a59e5a409424deee808e1d8b5b5852a86eac4bccd7f2634a19fb743` diff --git a/ja/built-in-nodes/QwenImageDiffsynthControlnet.mdx b/ja/built-in-nodes/QwenImageDiffsynthControlnet.mdx index cb24ec18a..347817e5e 100644 --- a/ja/built-in-nodes/QwenImageDiffsynthControlnet.mdx +++ b/ja/built-in-nodes/QwenImageDiffsynthControlnet.mdx @@ -5,30 +5,30 @@ sidebarTitle: "QwenImageDiffsynthControlnet" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QwenImageDiffsynthControlnet/ja.md) - 以下が翻訳結果です。 **QwenImageDiffsynthControlnet** ノードは、拡散合成制御ネットワークパッチを適用してベースモデルの動作を変更します。画像入力とオプションのマスクを使用して、調整可能な強度でモデルの生成プロセスをガイドし、制御ネットワークの影響を組み込んだパッチ適用済みモデルを作成することで、より制御された画像合成を実現します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | 制御ネットワークでパッチを適用するベースモデル | -| `モデルパッチ` | MODEL_PATCH | はい | - | ベースモデルに適用する制御ネットワークパッチモデル | -| `vae` | VAE | はい | - | 拡散プロセスで使用されるVAE（変分オートエンコーダ） | -| `画像` | IMAGE | はい | - | 制御ネットワークをガイドするために使用される入力画像（RGBチャンネルのみ使用） | -| `強度` | FLOAT | はい | -10.0 ～ 10.0 | 制御ネットワークの影響の強さ（デフォルト：1.0） | -| `マスク` | MASK | いいえ | - | 制御ネットワークを適用する領域を定義するオプションのマスク（内部で反転されます） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 制御ネットワークでパッチを適用するベースモデル | MODEL | はい | - | +| `モデルパッチ` | ベースモデルに適用する制御ネットワークパッチモデル | MODEL_PATCH | はい | - | +| `vae` | 拡散プロセスで使用されるVAE（変分オートエンコーダ） | VAE | はい | - | +| `画像` | 制御ネットワークをガイドするために使用される入力画像（RGBチャンネルのみ使用） | IMAGE | はい | - | +| `強度` | 制御ネットワークの影響の強さ（デフォルト：1.0） | FLOAT | はい | -10.0 ～ 10.0 | +| `マスク` | 制御ネットワークを適用する領域を定義するオプションのマスク（内部で反転されます） | MASK | いいえ | - | **注記：** マスクが指定された場合、自動的に反転（1.0 - マスク）され、制御ネットワーク処理に必要な次元にリシェイプされます。このノードは、モデルパッチがZImage Controlタイプか標準のDiffSynth制御ネットワークかによって、異なる内部処理方法を使用します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 拡散合成制御ネットワークパッチが適用された変更済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 拡散合成制御ネットワークパッチが適用された変更済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QwenImageDiffsynthControlnet/ja.md) --- **Source fingerprint (SHA-256):** `61833984d0b92be65fae72a894806572c0588dea74a295e8289d1194dee611bb` diff --git a/ja/built-in-nodes/RTDETR_detect.mdx b/ja/built-in-nodes/RTDETR_detect.mdx index 265f7e4af..9af7183b6 100644 --- a/ja/built-in-nodes/RTDETR_detect.mdx +++ b/ja/built-in-nodes/RTDETR_detect.mdx @@ -5,25 +5,25 @@ sidebarTitle: "RTDETR_detect" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RTDETR_detect/ja.md) - RT-DETR Detect ノードは、RT-DETRモデルを使用して入力画像に対して物体検出を実行します。オブジェクトを識別し、その周囲にバウンディングボックスを描画し、COCOデータセットのクラスに従ってラベルを付けます。信頼度スコア、オブジェクトクラスによる結果のフィルタリング、および検出数の上限設定が可能です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | なし | 物体検出に使用するRT-DETRモデル。 | -| `image` | IMAGE | はい | なし | 物体を検出する入力画像。ノードは最大32枚の画像をバッチ処理します。 | -| `threshold` | FLOAT | いいえ | なし | 結果に含めるために必要な最小信頼度スコア（デフォルト：0.5）。 | -| `class_name` | COMBO | いいえ | `"all"`
`"person"`
`"bicycle"`
`"car"`
`"motorcycle"`
`"airplane"`
`"bus"`
`"train"`
`"truck"`
`"boat"`
`"traffic light"`
`"fire hydrant"`
`"stop sign"`
`"parking meter"`
`"bench"`
`"bird"`
`"cat"`
`"dog"`
`"horse"`
`"sheep"`
`"cow"`
`"elephant"`
`"bear"`
`"zebra"`
`"giraffe"`
`"backpack"`
`"umbrella"`
`"handbag"`
`"tie"`
`"suitcase"`
`"frisbee"`
`"skis"`
`"snowboard"`
`"sports ball"`
`"kite"`
`"baseball bat"`
`"baseball glove"`
`"skateboard"`
`"surfboard"`
`"tennis racket"`
`"bottle"`
`"wine glass"`
`"cup"`
`"fork"`
`"knife"`
`"spoon"`
`"bowl"`
`"banana"`
`"apple"`
`"sandwich"`
`"orange"`
`"broccoli"`
`"carrot"`
`"hot dog"`
`"pizza"`
`"donut"`
`"cake"`
`"chair"`
`"couch"`
`"potted plant"`
`"bed"`
`"dining table"`
`"toilet"`
`"tv"`
`"laptop"`
`"mouse"`
`"remote"`
`"keyboard"`
`"cell phone"`
`"microwave"`
`"oven"`
`"toaster"`
`"sink"`
`"refrigerator"`
`"book"`
`"clock"`
`"vase"`
`"scissors"`
`"teddy bear"`
`"hair drier"`
`"toothbrush"` | クラスで検出結果をフィルタリングします。'all'に設定するとフィルタリングを無効にします（デフォルト："all"）。 | -| `max_detections` | INT | いいえ | なし | 画像あたりの最大検出数。信頼度スコアの降順で返されます（デフォルト：100）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 物体検出に使用するRT-DETRモデル。 | MODEL | はい | なし | +| `image` | 物体を検出する入力画像。ノードは最大32枚の画像をバッチ処理します。 | IMAGE | はい | なし | +| `threshold` | 結果に含めるために必要な最小信頼度スコア（デフォルト：0.5）。 | FLOAT | いいえ | なし | +| `class_name` | クラスで検出結果をフィルタリングします。'all'に設定するとフィルタリングを無効にします（デフォルト："all"）。 | COMBO | いいえ | `"all"`
`"person"`
`"bicycle"`
`"car"`
`"motorcycle"`
`"airplane"`
`"bus"`
`"train"`
`"truck"`
`"boat"`
`"traffic light"`
`"fire hydrant"`
`"stop sign"`
`"parking meter"`
`"bench"`
`"bird"`
`"cat"`
`"dog"`
`"horse"`
`"sheep"`
`"cow"`
`"elephant"`
`"bear"`
`"zebra"`
`"giraffe"`
`"backpack"`
`"umbrella"`
`"handbag"`
`"tie"`
`"suitcase"`
`"frisbee"`
`"skis"`
`"snowboard"`
`"sports ball"`
`"kite"`
`"baseball bat"`
`"baseball glove"`
`"skateboard"`
`"surfboard"`
`"tennis racket"`
`"bottle"`
`"wine glass"`
`"cup"`
`"fork"`
`"knife"`
`"spoon"`
`"bowl"`
`"banana"`
`"apple"`
`"sandwich"`
`"orange"`
`"broccoli"`
`"carrot"`
`"hot dog"`
`"pizza"`
`"donut"`
`"cake"`
`"chair"`
`"couch"`
`"potted plant"`
`"bed"`
`"dining table"`
`"toilet"`
`"tv"`
`"laptop"`
`"mouse"`
`"remote"`
`"keyboard"`
`"cell phone"`
`"microwave"`
`"oven"`
`"toaster"`
`"sink"`
`"refrigerator"`
`"book"`
`"clock"`
`"vase"`
`"scissors"`
`"teddy bear"`
`"hair drier"`
`"toothbrush"` | +| `max_detections` | 画像あたりの最大検出数。信頼度スコアの降順で返されます（デフォルト：100）。 | INT | いいえ | なし | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `bboxes` | BOUNDINGBOX | 各入力画像に対するバウンディングボックスのリスト。各ボックスには座標（x, y, width, height）、クラスラベル、および信頼度スコアが含まれます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `bboxes` | 各入力画像に対するバウンディングボックスのリスト。各ボックスには座標（x, y, width, height）、クラスラベル、および信頼度スコアが含まれます。 | BOUNDINGBOX | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RTDETR_detect/ja.md) --- **Source fingerprint (SHA-256):** `0c32aa9e17b8ea81e52cb45df2a40f7c1faeb39fdf18dfc643d1d31ed0bfdefd` diff --git a/ja/built-in-nodes/RandomCropImages.mdx b/ja/built-in-nodes/RandomCropImages.mdx index 17387a7ff..ae6271b13 100644 --- a/ja/built-in-nodes/RandomCropImages.mdx +++ b/ja/built-in-nodes/RandomCropImages.mdx @@ -5,8 +5,6 @@ sidebarTitle: "RandomCropImages" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomCropImages/ja.md) - 以下が翻訳結果です。 --- @@ -15,20 +13,22 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | クロップする画像です。 | -| `width` | INT | いいえ | 1 - 8192 | クロップ領域の幅です（デフォルト: 512）。 | -| `height` | INT | いいえ | 1 - 8192 | クロップ領域の高さです（デフォルト: 512）。 | -| `seed` | INT | いいえ | 0 - 18446744073709551615 | クロップ位置のランダム性を制御する数値です（デフォルト: 0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | クロップする画像です。 | IMAGE | はい | - | +| `width` | クロップ領域の幅です（デフォルト: 512）。 | INT | いいえ | 1 - 8192 | +| `height` | クロップ領域の高さです（デフォルト: 512）。 | INT | いいえ | 1 - 8192 | +| `seed` | クロップ位置のランダム性を制御する数値です（デフォルト: 0）。 | INT | いいえ | 0 - 18446744073709551615 | **注記:** `width` と `height` パラメータは、入力画像の寸法以下である必要があります。指定された寸法が画像より大きい場合、クロップは画像の境界内に制限されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | ランダムクロップが適用された結果の画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | ランダムクロップが適用された結果の画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomCropImages/ja.md) --- **Source fingerprint (SHA-256):** `bc4aca8cc63bde28fee906a92463b73436ba48ba69d7c1ff13881ac900e252a8` diff --git a/ja/built-in-nodes/RandomNoise.mdx b/ja/built-in-nodes/RandomNoise.mdx index e4adbf2c5..fb392e062 100644 --- a/ja/built-in-nodes/RandomNoise.mdx +++ b/ja/built-in-nodes/RandomNoise.mdx @@ -5,23 +5,23 @@ sidebarTitle: "RandomNoise" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomNoise/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 RandomNoise ノードは、シード値に基づいてランダムなノイズパターンを生成します。このノードは再現可能なノイズを作成し、さまざまな画像処理や生成タスクに利用できます。同じシード値を使用すれば常に同じノイズパターンが生成されるため、複数回の実行で一貫した結果を得ることができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ノイズシード` | INT | はい | 0 ～ 18446744073709551615 | ランダムノイズパターンを生成するためのシード値です（デフォルト：0）。同じシード値を使用すると、常に同じノイズ出力が得られます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ノイズシード` | ランダムノイズパターンを生成するためのシード値です（デフォルト：0）。同じシード値を使用すると、常に同じノイズ出力が得られます。 | INT | はい | 0 ～ 18446744073709551615 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `noise` | NOISE | 指定されたシード値に基づいて生成されたランダムノイズパターンです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `noise` | 指定されたシード値に基づいて生成されたランダムノイズパターンです。 | NOISE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomNoise/ja.md) --- **Source fingerprint (SHA-256):** `893d3eefdef78592ba3cc403ec1e4bf3a672607abe79f05db1b65078d6b9ea20` diff --git a/ja/built-in-nodes/RebatchImages.mdx b/ja/built-in-nodes/RebatchImages.mdx index 438891260..5bee72f3f 100644 --- a/ja/built-in-nodes/RebatchImages.mdx +++ b/ja/built-in-nodes/RebatchImages.mdx @@ -5,19 +5,19 @@ sidebarTitle: "RebatchImages" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RebatchImages/ja.md) - RebatchImagesノードは、画像のバッチを新しいバッチ構成に再編成し、指定されたバッチサイズに調整するために設計されています。この処理は、バッチ操作における画像データの処理を管理・最適化し、効率的な処理のために画像が目的のバッチサイズに従ってグループ化されることを保証するために不可欠です。 ## 入力 -| フィールド | データ型 | 説明 | -|-------------|-------------|-------------------------------------------------------------------------------------| -| `画像` | `IMAGE` | 再バッチ処理される画像のリストです。このパラメータは、再バッチ処理の対象となる入力データを決定する上で重要です。 | -| `バッチサイズ`| `INT` | 出力バッチの希望サイズを指定します。このパラメータは、入力画像がどのようにグループ化・処理されるかに直接影響し、出力の構造に影響を与えます。 | +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 再バッチ処理される画像のリストです。このパラメータは、再バッチ処理の対象となる入力データを決定する上で重要です。 | `IMAGE` | +| `バッチサイズ` | 出力バッチの希望サイズを指定します。このパラメータは、入力画像がどのようにグループ化・処理されるかに直接影響し、出力の構造に影響を与えます。 | `INT` | ## 出力 -| フィールド | データ型 | 説明 | -|-------|-------------|-------------------------------------------------------------------------------| -| `image`| `IMAGE` | 出力は、指定されたバッチサイズに従って再編成された画像バッチのリストで構成されます。これにより、バッチ操作における画像データの柔軟かつ効率的な処理が可能になります。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `image` | 出力は、指定されたバッチサイズに従って再編成された画像バッチのリストで構成されます。これにより、バッチ操作における画像データの柔軟かつ効率的な処理が可能になります。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RebatchImages/ja.md) diff --git a/ja/built-in-nodes/RebatchLatents.mdx b/ja/built-in-nodes/RebatchLatents.mdx index 343407c29..2cdf39882 100644 --- a/ja/built-in-nodes/RebatchLatents.mdx +++ b/ja/built-in-nodes/RebatchLatents.mdx @@ -5,19 +5,19 @@ sidebarTitle: "RebatchLatents" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RebatchLatents/ja.md) - RebatchLatents ノードは、指定されたバッチサイズに基づいて、潜在表現のバッチを新しいバッチ構成に再編成するように設計されています。これにより、潜在サンプルが適切にグループ化され、次元やサイズのばらつきが処理され、さらなる処理やモデル推論が容易になります。 ## 入力 -| パラメータ | データ型 | 説明 | -|--------------|-------------|-------------| -| `潜在変数` | `LATENT` | 「latents」パラメータは、再バッチ処理される入力潜在表現を表します。出力バッチの構造と内容を決定する上で重要です。 | -| `バッチサイズ` | `INT` | 「batch_size」パラメータは、出力におけるバッチあたりのサンプル数を指定します。入力潜在表現を新しいバッチにグループ化および分割する方法に直接影響します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `潜在変数` | 「latents」パラメータは、再バッチ処理される入力潜在表現を表します。出力バッチの構造と内容を決定する上で重要です。 | `LATENT` | +| `バッチサイズ` | 「batch_size」パラメータは、出力におけるバッチあたりのサンプル数を指定します。入力潜在表現を新しいバッチにグループ化および分割する方法に直接影響します。 | `INT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 出力は、指定されたバッチサイズに従って調整された、再編成された潜在表現のバッチです。これにより、さらなる処理や分析が容易になります。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 出力は、指定されたバッチサイズに従って調整された、再編成された潜在表現のバッチです。これにより、さらなる処理や分析が容易になります。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RebatchLatents/ja.md) diff --git a/ja/built-in-nodes/RecordAudio.mdx b/ja/built-in-nodes/RecordAudio.mdx index 16e0d3ab7..6f702c2e0 100644 --- a/ja/built-in-nodes/RecordAudio.mdx +++ b/ja/built-in-nodes/RecordAudio.mdx @@ -5,8 +5,6 @@ sidebarTitle: "RecordAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecordAudio/ja.md) - 以下は、指定された翻訳ルールに従った日本語訳です。 ## 概要 @@ -15,15 +13,17 @@ RecordAudioノードは、オーディオ録音インターフェースを通じ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `オーディオ` | AUDIO_RECORD | はい | なし | オーディオ録音インターフェースからのオーディオ録音入力 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `オーディオ` | オーディオ録音インターフェースからのオーディオ録音入力 | AUDIO_RECORD | はい | なし | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `AUDIO` | AUDIO | 波形とサンプルレート情報を含む、処理済みのオーディオデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `AUDIO` | 波形とサンプルレート情報を含む、処理済みのオーディオデータ | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecordAudio/ja.md) --- **Source fingerprint (SHA-256):** `3648f3c71f60f69e9ca117e25e9706187470866a1869ba9b8e5feceb42a7493a` diff --git a/ja/built-in-nodes/RecraftColorRGB.mdx b/ja/built-in-nodes/RecraftColorRGB.mdx index a04a3e5f3..3f6e7461c 100644 --- a/ja/built-in-nodes/RecraftColorRGB.mdx +++ b/ja/built-in-nodes/RecraftColorRGB.mdx @@ -5,24 +5,24 @@ sidebarTitle: "RecraftColorRGB" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftColorRGB/ja.md) - 赤、緑、青の各値を個別に指定してRecraftカラーを作成します。このノードはRGB整数値（0～255）を受け取り、他のRecraft操作で使用可能なRecraftカラーフォーマットに変換します。既存のRecraftカラーチェーンをオプションで指定し、新しい色で拡張することもできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `r` | INT | はい | 0-255 | 色の赤の値（デフォルト：0） | -| `g` | INT | はい | 0-255 | 色の緑の値（デフォルト：0） | -| `b` | INT | はい | 0-255 | 色の青の値（デフォルト：0） | -| `recraft_color` | COLOR | いいえ | - | 新しいRGB色で拡張する既存のRecraftカラーチェーン（オプション） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `r` | 色の赤の値（デフォルト：0） | INT | はい | 0-255 | +| `g` | 色の緑の値（デフォルト：0） | INT | はい | 0-255 | +| `b` | 色の青の値（デフォルト：0） | INT | はい | 0-255 | +| `recraft_color` | 新しいRGB色で拡張する既存のRecraftカラーチェーン（オプション） | COLOR | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `recraft_color` | COLOR | 指定されたRGB値を含む作成されたRecraftカラーオブジェクト。既存のカラーチェーンが指定された場合は、拡張されたカラーチェーン | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `recraft_color` | 指定されたRGB値を含む作成されたRecraftカラーオブジェクト。既存のカラーチェーンが指定された場合は、拡張されたカラーチェーン | COLOR | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftColorRGB/ja.md) --- **Source fingerprint (SHA-256):** `8c3503632d085fa4c1771f92f17008b7b051e9604d9e7d1e7d352cbbbd22dddc` diff --git a/ja/built-in-nodes/RecraftControls.mdx b/ja/built-in-nodes/RecraftControls.mdx index 4095284b9..5cf2930d2 100644 --- a/ja/built-in-nodes/RecraftControls.mdx +++ b/ja/built-in-nodes/RecraftControls.mdx @@ -5,24 +5,24 @@ sidebarTitle: "RecraftControls" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftControls/ja.md) - 以下が翻訳結果です。 ## 概要 Recraft 生成をカスタマイズするための Recraft コントロールを作成します。このノードを使用すると、Recraft 画像生成プロセス中に使用されるカラー設定を構成できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `colors` | COLOR | いいえ | - | 主要要素のカラー設定 | -| `background_color` | COLOR | いいえ | - | 背景色の設定 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `colors` | 主要要素のカラー設定 | COLOR | いいえ | - | +| `background_color` | 背景色の設定 | COLOR | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `recraft_controls` | CONTROLS | カラー設定を含む構成済みの Recraft コントロール | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `recraft_controls` | カラー設定を含む構成済みの Recraft コントロール | CONTROLS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftControls/ja.md) --- **Source fingerprint (SHA-256):** `47d9640ca3a60250b25a7f6fa96367716db50a667ff4b2bb8d47ceb962420152` diff --git a/ja/built-in-nodes/RecraftCreateStyleNode.mdx b/ja/built-in-nodes/RecraftCreateStyleNode.mdx index 6b25d617b..6fc8fa66f 100644 --- a/ja/built-in-nodes/RecraftCreateStyleNode.mdx +++ b/ja/built-in-nodes/RecraftCreateStyleNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "RecraftCreateStyleNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreateStyleNode/ja.md) - このノードは、参照画像をアップロードすることで、画像生成用のカスタムスタイルを作成します。1～5枚の画像をアップロードして新しいスタイルを定義すると、ノードは他のRecraftノードで使用できる一意のスタイルIDを返します。アップロードするすべての画像の合計ファイルサイズは5 MBを超えてはなりません。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `スタイル` | STRING | はい | `"realistic_image"`
`"digital_illustration"` | 生成される画像のベーススタイル。 | -| `画像` | IMAGE | はい | 1～5枚の画像 | カスタムスタイルを作成するために使用する1～5枚の参照画像のセット。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `スタイル` | 生成される画像のベーススタイル。 | STRING | はい | `"realistic_image"`
`"digital_illustration"` | +| `画像` | カスタムスタイルを作成するために使用する1～5枚の参照画像のセット。 | IMAGE | はい | 1～5枚の画像 | **注記：** `images` 入力内のすべての画像の合計ファイルサイズは5 MB未満である必要があります。この制限を超えるとノードは失敗します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `style_id` | STRING | 新しく作成されたカスタムスタイルの一意の識別子。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `style_id` | 新しく作成されたカスタムスタイルの一意の識別子。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreateStyleNode/ja.md) --- **Source fingerprint (SHA-256):** `36340e64d90b3edbbecedf15ac123adaabb5bc0c950183d2df6627dc873da61c` diff --git a/ja/built-in-nodes/RecraftCreativeUpscaleNode.mdx b/ja/built-in-nodes/RecraftCreativeUpscaleNode.mdx index 21b902884..db4395fef 100644 --- a/ja/built-in-nodes/RecraftCreativeUpscaleNode.mdx +++ b/ja/built-in-nodes/RecraftCreativeUpscaleNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "RecraftCreativeUpscaleNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md) Recraft Creative Upscale Image ノードは、ラスター画像の解像度を高めて拡大します。このノードは「クリエイティブアップスケール」処理を使用し、画像内の細かいディテールや顔の部分を重点的に改善します。この処理は外部APIを通じて同期的に実行されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|------|-------|-------------| -| `画像` | IMAGE | はい | | アップスケールする入力画像です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | アップスケールする入力画像です。 | IMAGE | はい | | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | ディテールが強化された、アップスケール後の画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | ディテールが強化された、アップスケール後の画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/ja.md) --- **Source fingerprint (SHA-256):** `b638dd926e144c47ad2c2968cf49f3d322cbdddfcb8b2e86edb3ae9558a1ded6` diff --git a/ja/built-in-nodes/RecraftCrispUpscaleNode.mdx b/ja/built-in-nodes/RecraftCrispUpscaleNode.mdx index 6fffb540c..6aca113fd 100644 --- a/ja/built-in-nodes/RecraftCrispUpscaleNode.mdx +++ b/ja/built-in-nodes/RecraftCrispUpscaleNode.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RecraftCrispUpscaleNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/ja.md) - 画像を同期的にアップスケールします。'crisp upscale'ツールを使用して指定されたラスター画像を強化し、画像の解像度を向上させ、よりシャープでクリアな画像にします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | アップスケールする入力画像です。画像のバッチを受け付けます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | アップスケールする入力画像です。画像のバッチを受け付けます。 | IMAGE | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 解像度と鮮明さが向上したアップスケール画像です。入力としてバッチが提供された場合は、画像のバッチを返します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 解像度と鮮明さが向上したアップスケール画像です。入力としてバッチが提供された場合は、画像のバッチを返します。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/ja.md) --- **Source fingerprint (SHA-256):** `2c7f6cf4dc801ac83b365bfc501baffb573aa8dde432fa56c57b3d522b4068c6` diff --git a/ja/built-in-nodes/RecraftImageInpaintingNode.mdx b/ja/built-in-nodes/RecraftImageInpaintingNode.mdx index ce818a627..1b1d707ed 100644 --- a/ja/built-in-nodes/RecraftImageInpaintingNode.mdx +++ b/ja/built-in-nodes/RecraftImageInpaintingNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "RecraftImageInpaintingNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/ja.md) - このノードは、テキストプロンプトとマスクに基づいて、画像の特定の領域を修正します。Recraft APIを使用して、マスクされた領域のみをインテリジェントに編集し、画像の残りの部分は変更しません。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 修正する入力画像 | -| `mask` | MASK | はい | - | 画像のどの領域を修正するかを定義するマスク | -| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空文字列、最大長：1000文字） | -| `生成数` | INT | はい | 1-6 | 生成する画像の数（デフォルト：1、最小：1、最大：6） | -| `シード値` | INT | はい | 0-18446744073709551615 | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関係なく非決定的です（デフォルト：0） | -| `recraft_style` | STYLEV3 | いいえ | - | Recraft APIのオプションのスタイルパラメータ。指定しない場合、デフォルトで"realistic_image"スタイルになります | -| `ネガティブプロンプト` | STRING | いいえ | - | 画像内の望ましくない要素に関するオプションのテキスト説明（デフォルト：空文字列） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | 修正する入力画像 | IMAGE | はい | - | +| `mask` | 画像のどの領域を修正するかを定義するマスク | MASK | はい | - | +| `プロンプト` | 画像生成のためのプロンプト（デフォルト：空文字列、最大長：1000文字） | STRING | はい | - | +| `生成数` | 生成する画像の数（デフォルト：1、最小：1、最大：6） | INT | はい | 1-6 | +| `シード値` | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関係なく非決定的です（デフォルト：0） | INT | はい | 0-18446744073709551615 | +| `recraft_style` | Recraft APIのオプションのスタイルパラメータ。指定しない場合、デフォルトで"realistic_image"スタイルになります | STYLEV3 | いいえ | - | +| `ネガティブプロンプト` | 画像内の望ましくない要素に関するオプションのテキスト説明（デフォルト：空文字列） | STRING | いいえ | - | *注：`image`と`mask`は、インペインティング処理を機能させるために一緒に提供する必要があります。マスクは画像の寸法に合わせて自動的にリサイズされます。`prompt`は検証され、最大長は1000文字です。* ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | プロンプトとマスクに基づいて生成された修正済み画像。入力画像1枚につき、`生成数`パラメータを乗じた数の画像を返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | プロンプトとマスクに基づいて生成された修正済み画像。入力画像1枚につき、`生成数`パラメータを乗じた数の画像を返します | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/ja.md) --- **Source fingerprint (SHA-256):** `3eb6505a19173d8e4ea4216348f9592fd996cdfe2f07a9e79ccec5f738a8fb93` diff --git a/ja/built-in-nodes/RecraftImageToImageNode.mdx b/ja/built-in-nodes/RecraftImageToImageNode.mdx index 12e6f4e23..d0d49e49f 100644 --- a/ja/built-in-nodes/RecraftImageToImageNode.mdx +++ b/ja/built-in-nodes/RecraftImageToImageNode.mdx @@ -5,32 +5,32 @@ sidebarTitle: "RecraftImageToImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageToImageNode/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md) このノードは、テキストプロンプトと強度パラメータに基づいて、既存の画像を変更します。Recraft APIを使用して、提供された説明に従って入力画像を変換し、強度設定に基づいて元の画像との類似性を維持します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 変更する入力画像 | -| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト: ""、最大長: 1000文字） | -| `生成数` | INT | はい | 1-6 | 生成する画像の数（デフォルト: 1） | -| `強度` | FLOAT | はい | 0.0-1.0 | 元の画像との差異を定義します。[0, 1]の範囲で指定し、0はほぼ同一、1は類似性が低いことを意味します（デフォルト: 0.5） | -| `シード` | INT | はい | 0-18446744073709551615 | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関わらず非決定的です（デフォルト: 0） | -| `recraft_style` | STYLEV3 | いいえ | - | 画像生成のためのオプションのスタイル選択。指定しない場合、デフォルトで`realistic_image`になります | -| `ネガティブプロンプト` | STRING | いいえ | - | 画像内の望ましくない要素に関するオプションのテキスト説明（デフォルト: ""） | -| `recraft_controls` | CONTROLS | いいえ | - | Recraft Controlsノードを介した生成に対するオプションの追加制御 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 変更する入力画像 | IMAGE | はい | - | +| `プロンプト` | 画像生成のためのプロンプト（デフォルト: ""、最大長: 1000文字） | STRING | はい | - | +| `生成数` | 生成する画像の数（デフォルト: 1） | INT | はい | 1-6 | +| `強度` | 元の画像との差異を定義します。[0, 1]の範囲で指定し、0はほぼ同一、1は類似性が低いことを意味します（デフォルト: 0.5） | FLOAT | はい | 0.0-1.0 | +| `シード` | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関わらず非決定的です（デフォルト: 0） | INT | はい | 0-18446744073709551615 | +| `recraft_style` | 画像生成のためのオプションのスタイル選択。指定しない場合、デフォルトで`realistic_image`になります | STYLEV3 | いいえ | - | +| `ネガティブプロンプト` | 画像内の望ましくない要素に関するオプションのテキスト説明（デフォルト: ""） | STRING | いいえ | - | +| `recraft_controls` | Recraft Controlsノードを介した生成に対するオプションの追加制御 | CONTROLS | いいえ | - | **注記:** `seed`パラメータはノードの再実行をトリガーするのみで、決定的な結果を保証するものではありません。`strength`パラメータは内部で小数点第2位に丸められます。プロンプトは検証され、1000文字を超えてはなりません。`recraft_style`が指定されていない場合、ノードはデフォルトで`realistic_image`スタイルになります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 入力画像とプロンプトに基づいて生成された画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 入力画像とプロンプトに基づいて生成された画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageToImageNode/ja.md) --- **Source fingerprint (SHA-256):** `e47ab70e77186e62c253c976cdd7942cfb949ba6461914d2b4341f3eca8e14aa` diff --git a/ja/built-in-nodes/RecraftRemoveBackgroundNode.mdx b/ja/built-in-nodes/RecraftRemoveBackgroundNode.mdx index cf36ef9fe..c4860baf3 100644 --- a/ja/built-in-nodes/RecraftRemoveBackgroundNode.mdx +++ b/ja/built-in-nodes/RecraftRemoveBackgroundNode.mdx @@ -5,22 +5,22 @@ sidebarTitle: "RecraftRemoveBackgroundNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/ja.md) - このノードは、Recraft API サービスを使用して画像から背景を除去します。入力バッチ内の各画像を処理し、透明な背景を持つ処理済み画像と、除去された背景領域を示す対応するアルファマスクの両方を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `画像` | IMAGE | はい | - | 背景除去処理を行う入力画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 背景除去処理を行う入力画像 | IMAGE | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `画像` | IMAGE | 透明な背景を持つ処理済み画像 | -| `mask` | MASK | 除去された背景領域を示すアルファチャンネルマスク | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 透明な背景を持つ処理済み画像 | IMAGE | +| `mask` | 除去された背景領域を示すアルファチャンネルマスク | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/ja.md) --- **Source fingerprint (SHA-256):** `9e3f1a0471da3afda6b8de26de3b7e78c1070c49ab49e4fc8b6b79bb10ff77de` diff --git a/ja/built-in-nodes/RecraftReplaceBackgroundNode.mdx b/ja/built-in-nodes/RecraftReplaceBackgroundNode.mdx index bd29ac0a4..a48508233 100644 --- a/ja/built-in-nodes/RecraftReplaceBackgroundNode.mdx +++ b/ja/built-in-nodes/RecraftReplaceBackgroundNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "RecraftReplaceBackgroundNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md) 提供されたプロンプトに基づいて、画像の背景を置き換えます。このノードはRecraft APIを使用して、テキストによる説明に従って画像に新しい背景を生成し、主要な被写体をそのままに背景を完全に変更することができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 処理する入力画像 | -| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空） | -| `生成数` | INT | はい | 1-6 | 生成する画像の枚数（デフォルト：1） | -| `シード` | INT | はい | 0-18446744073709551615 | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関わらず非決定的です（デフォルト：0） | -| `Recraftスタイル` | STYLEV3 | いいえ | - | 生成される背景のオプションのスタイル選択。指定しない場合、デフォルトで"realistic_image"スタイルが使用されます | -| `ネガティブプロンプト` | STRING | いいえ | - | 画像内で望ましくない要素を説明するオプションのテキスト（デフォルト：空） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 処理する入力画像 | IMAGE | はい | - | +| `プロンプト` | 画像生成のためのプロンプト（デフォルト：空） | STRING | はい | - | +| `生成数` | 生成する画像の枚数（デフォルト：1） | INT | はい | 1-6 | +| `シード` | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関わらず非決定的です（デフォルト：0） | INT | はい | 0-18446744073709551615 | +| `Recraftスタイル` | 生成される背景のオプションのスタイル選択。指定しない場合、デフォルトで"realistic_image"スタイルが使用されます | STYLEV3 | いいえ | - | +| `ネガティブプロンプト` | 画像内で望ましくない要素を説明するオプションのテキスト（デフォルト：空） | STRING | いいえ | - | **注記：** `seed`パラメータはノードの再実行タイミングを制御しますが、外部APIの性質上、決定的な結果を保証するものではありません。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | 背景が置き換えられた生成画像（複数可） | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | 背景が置き換えられた生成画像（複数可） | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/ja.md) --- **Source fingerprint (SHA-256):** `305cb8c542159a089b1fa03971205b23d50c8a328af006e284fb27011070f6bd` diff --git a/ja/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx b/ja/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx index e1040e799..865a30881 100644 --- a/ja/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx +++ b/ja/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RecraftStyleV3DigitalIllustration" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/ja.md) - このノードは、Recraft APIで使用するスタイルを設定するもので、特に「digital_illustration（デジタルイラスト）」スタイルを選択します。生成される画像の芸術的な方向性をさらに絞り込むために、オプションのサブスタイルを選択できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サブスタイル` | STRING | いいえ | `"digital_illustration"`
`"digital_illustration_anime"`
`"digital_illustration_cartoon"`
`"digital_illustration_comic"`
`"digital_illustration_concept_art"`
`"digital_illustration_fantasy"`
`"digital_illustration_futuristic"`
`"digital_illustration_graffiti"`
`"digital_illustration_graphic_novel"`
`"digital_illustration_hyperrealistic"`
`"digital_illustration_ink"`
`"digital_illustration_manga"`
`"digital_illustration_minimalist"`
`"digital_illustration_pixel_art"`
`"digital_illustration_pop_art"`
`"digital_illustration_retro"`
`"digital_illustration_sci_fi"`
`"digital_illustration_sticker"`
`"digital_illustration_street_art"`
`"digital_illustration_surreal"`
`"digital_illustration_vector"` | 特定のデジタルイラストの種類を指定するオプションのサブスタイルです。選択しない場合は、基本の「digital_illustration」スタイルが使用されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サブスタイル` | 特定のデジタルイラストの種類を指定するオプションのサブスタイルです。選択しない場合は、基本の「digital_illustration」スタイルが使用されます。 | STRING | いいえ | `"digital_illustration"`
`"digital_illustration_anime"`
`"digital_illustration_cartoon"`
`"digital_illustration_comic"`
`"digital_illustration_concept_art"`
`"digital_illustration_fantasy"`
`"digital_illustration_futuristic"`
`"digital_illustration_graffiti"`
`"digital_illustration_graphic_novel"`
`"digital_illustration_hyperrealistic"`
`"digital_illustration_ink"`
`"digital_illustration_manga"`
`"digital_illustration_minimalist"`
`"digital_illustration_pixel_art"`
`"digital_illustration_pop_art"`
`"digital_illustration_retro"`
`"digital_illustration_sci_fi"`
`"digital_illustration_sticker"`
`"digital_illustration_street_art"`
`"digital_illustration_surreal"`
`"digital_illustration_vector"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | 選択された「digital_illustration」スタイルとオプションのサブスタイルを含む設定済みのスタイルオブジェクトです。他のRecraft APIノードに渡す準備ができています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `recraft_style` | 選択された「digital_illustration」スタイルとオプションのサブスタイルを含む設定済みのスタイルオブジェクトです。他のRecraft APIノードに渡す準備ができています。 | STYLEV3 | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/ja.md) --- **Source fingerprint (SHA-256):** `e52790a670839608ee1cb576e802a54d3bf2ca879ec288a24acd4ac7db27021a` diff --git a/ja/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx b/ja/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx index 0ad7dcbbc..a9edcf9e8 100644 --- a/ja/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx +++ b/ja/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx @@ -5,23 +5,23 @@ sidebarTitle: "RecraftStyleV3InfiniteStyleLibrary" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/ja.md) - このノードは、既存のUUIDを使用してRecraftのInfinite Style Libraryからスタイルを選択できます。提供されたスタイル識別子に基づいてスタイル情報を取得し、他のRecraftノードで使用できるように返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `style_id` | STRING | はい | 任意の有効なUUID | Infinite Style LibraryのスタイルのUUID。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `style_id` | Infinite Style LibraryのスタイルのUUID。 | STRING | はい | 任意の有効なUUID | **注記：** `style_id` 入力は空にできません。空の文字列が指定された場合、ノードは例外を発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | RecraftのInfinite Style Libraryから選択されたスタイルオブジェクト | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `recraft_style` | RecraftのInfinite Style Libraryから選択されたスタイルオブジェクト | STYLEV3 | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/ja.md) --- **Source fingerprint (SHA-256):** `37d7d9eff1232cc17912c6fca908dc5b8c404c0b6cf0a36e8fecc837ff2a1eea` diff --git a/ja/built-in-nodes/RecraftStyleV3LogoRaster.mdx b/ja/built-in-nodes/RecraftStyleV3LogoRaster.mdx index 20258ae82..97c325a9a 100644 --- a/ja/built-in-nodes/RecraftStyleV3LogoRaster.mdx +++ b/ja/built-in-nodes/RecraftStyleV3LogoRaster.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RecraftStyleV3LogoRaster" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/ja.md) - このノードは、ロゴ画像を生成するためのロゴラスタースタイルとオプションのサブスタイルを選択します。ラスターベースのビジュアル処理を用いたロゴデザインの作成に特化しています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サブスタイル` | STRING | はい | 複数のオプションから選択可能 | ロゴ生成に適用する特定のロゴラスターサブスタイル | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サブスタイル` | ロゴ生成に適用する特定のロゴラスターサブスタイル | STRING | はい | 複数のオプションから選択可能 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `recraft_style` | CUSTOM | 選択されたロゴラスタースタイルとサブスタイルを含む、Recraftスタイル設定 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `recraft_style` | 選択されたロゴラスタースタイルとサブスタイルを含む、Recraftスタイル設定 | CUSTOM | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/ja.md) --- **Source fingerprint (SHA-256):** `cf4a7953e36ea824b4ddd00060174ede017d30640a70099b106b6de7f49fefbb` diff --git a/ja/built-in-nodes/RecraftStyleV3RealisticImage.mdx b/ja/built-in-nodes/RecraftStyleV3RealisticImage.mdx index d4486efb5..fa9a6ea1b 100644 --- a/ja/built-in-nodes/RecraftStyleV3RealisticImage.mdx +++ b/ja/built-in-nodes/RecraftStyleV3RealisticImage.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RecraftStyleV3RealisticImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/ja.md) - このノードは、RecraftのAPIを使用してリアルな画像を生成するためのスタイル設定を作成します。`realistic_image`スタイルを選択し、出力の外観を微調整するためのオプションのサブスタイルを指定できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サブスタイル` | STRING | はい | 複数のオプションが利用可能（Recraft APIによって決定） | realistic_imageスタイルに適用する特定のサブスタイルです。「None」に設定すると、サブスタイルは適用されません。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サブスタイル` | realistic_imageスタイルに適用する特定のサブスタイルです。「None」に設定すると、サブスタイルは適用されません。 | STRING | はい | 複数のオプションが利用可能（Recraft APIによって決定） | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | `realistic_image`スタイルと選択されたサブスタイル設定を含むRecraftスタイル設定オブジェクトです。この出力は、スタイル入力を受け付ける他のRecraftノードに接続できます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `recraft_style` | `realistic_image`スタイルと選択されたサブスタイル設定を含むRecraftスタイル設定オブジェクトです。この出力は、スタイル入力を受け付ける他のRecraftノードに接続できます。 | STYLEV3 | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/ja.md) --- **Source fingerprint (SHA-256):** `23eafae0a00f1806052a6583db791a5c1fd418ea940ed6463824dffe843ed0d7` diff --git a/ja/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx b/ja/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx index a3baea44a..bafb9148d 100644 --- a/ja/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx +++ b/ja/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx @@ -5,21 +5,21 @@ sidebarTitle: "RecraftStyleV3VectorIllustrationNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/ja.md) - このノードは、Recraft APIで使用するスタイルを設定するもので、特に`vector_illustration`スタイルを選択します。このカテゴリ内で、より具体的なサブスタイルをオプションで選択できます。このノードは、他のRecraft APIノードに渡すことができるスタイル設定オブジェクトを出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `substyle` | STRING | いいえ | `"vector_illustration"`
`"vector_illustration_flat"`
`"vector_illustration_3d"`
`"vector_illustration_hand_drawn"`
`"vector_illustration_retro"`
`"vector_illustration_modern"`
`"vector_illustration_abstract"`
`"vector_illustration_geometric"`
`"vector_illustration_organic"`
`"vector_illustration_minimalist"`
`"vector_illustration_detailed"`
`"vector_illustration_colorful"`
`"vector_illustration_monochrome"`
`"vector_illustration_grayscale"`
`"vector_illustration_pastel"`
`"vector_illustration_vibrant"`
`"vector_illustration_muted"`
`"vector_illustration_warm"`
`"vector_illustration_cool"`
`"vector_illustration_neutral"`
`"vector_illustration_bold"`
`"vector_illustration_subtle"`
`"vector_illustration_playful"`
`"vector_illustration_serious"`
`"vector_illustration_elegant"`
`"vector_illustration_rustic"`
`"vector_illustration_urban"`
`"vector_illustration_nature"`
`"vector_illustration_fantasy"`
`"vector_illustration_sci_fi"`
`"vector_illustration_historical"`
`"vector_illustration_futuristic"`
`"vector_illustration_whimsical"`
`"vector_illustration_surreal"`
`"vector_illustration_realistic"`
`"vector_illustration_stylized"`
`"vector_illustration_cartoony"`
`"vector_illustration_anime"`
`"vector_illustration_comic"`
`"vector_illustration_pixel"`
`"vector_illustration_low_poly"`
`"vector_illustration_high_poly"`
`"vector_illustration_isometric"`
`"vector_illustration_orthographic"`
`"vector_illustration_perspective"`
`"vector_illustration_2d"`
`"vector_illustration_2.5d"`
`"vector_illustration_3d"`
`"vector_illustration_4d"` | `vector_illustration`カテゴリ内の、より具体的なオプションのスタイルです。選択しない場合は、基本の`vector_illustration`スタイルが使用されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `substyle` | `vector_illustration`カテゴリ内の、より具体的なオプションのスタイルです。選択しない場合は、基本の`vector_illustration`スタイルが使用されます。 | STRING | いいえ | `"vector_illustration"`
`"vector_illustration_flat"`
`"vector_illustration_3d"`
`"vector_illustration_hand_drawn"`
`"vector_illustration_retro"`
`"vector_illustration_modern"`
`"vector_illustration_abstract"`
`"vector_illustration_geometric"`
`"vector_illustration_organic"`
`"vector_illustration_minimalist"`
`"vector_illustration_detailed"`
`"vector_illustration_colorful"`
`"vector_illustration_monochrome"`
`"vector_illustration_grayscale"`
`"vector_illustration_pastel"`
`"vector_illustration_vibrant"`
`"vector_illustration_muted"`
`"vector_illustration_warm"`
`"vector_illustration_cool"`
`"vector_illustration_neutral"`
`"vector_illustration_bold"`
`"vector_illustration_subtle"`
`"vector_illustration_playful"`
`"vector_illustration_serious"`
`"vector_illustration_elegant"`
`"vector_illustration_rustic"`
`"vector_illustration_urban"`
`"vector_illustration_nature"`
`"vector_illustration_fantasy"`
`"vector_illustration_sci_fi"`
`"vector_illustration_historical"`
`"vector_illustration_futuristic"`
`"vector_illustration_whimsical"`
`"vector_illustration_surreal"`
`"vector_illustration_realistic"`
`"vector_illustration_stylized"`
`"vector_illustration_cartoony"`
`"vector_illustration_anime"`
`"vector_illustration_comic"`
`"vector_illustration_pixel"`
`"vector_illustration_low_poly"`
`"vector_illustration_high_poly"`
`"vector_illustration_isometric"`
`"vector_illustration_orthographic"`
`"vector_illustration_perspective"`
`"vector_illustration_2d"`
`"vector_illustration_2.5d"`
`"vector_illustration_3d"`
`"vector_illustration_4d"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | 選択された`vector_illustration`スタイルとオプションのサブスタイルを含む、Recraft APIのスタイル設定オブジェクトです。これを他のRecraftノードに接続できます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `recraft_style` | 選択された`vector_illustration`スタイルとオプションのサブスタイルを含む、Recraft APIのスタイル設定オブジェクトです。これを他のRecraftノードに接続できます。 | STYLEV3 | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/ja.md) --- **Source fingerprint (SHA-256):** `acd7a6decfdd052a0ff3c01a66dfdd4aa37a711ed6e2e123cc9a424b738b1346` diff --git a/ja/built-in-nodes/RecraftTextToImageNode.mdx b/ja/built-in-nodes/RecraftTextToImageNode.mdx index 420ef447a..519f5c809 100644 --- a/ja/built-in-nodes/RecraftTextToImageNode.mdx +++ b/ja/built-in-nodes/RecraftTextToImageNode.mdx @@ -5,23 +5,21 @@ sidebarTitle: "RecraftTextToImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToImageNode/ja.md) - このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、お気軽にご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md) プロンプトと解像度に基づいて同期的に画像を生成します。このノードはRecraft APIに接続し、指定された寸法とオプションのスタイルおよび制御パラメータを使用して、テキスト記述から画像を作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプトです。（デフォルト: ""） | -| `サイズ` | COMBO | はい | "1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | 生成される画像のサイズです。（デフォルト: "1024x1024"） | -| `枚数` | INT | はい | 1-6 | 生成する画像の枚数です。（デフォルト: 1） | -| `シード` | INT | はい | 0-18446744073709551615 | ノードを再実行するかどうかを決定するシード値です。シード値に関わらず、実際の結果は非決定的です。（デフォルト: 0） | -| `recraft_style` | RECRAFT_STYLE | いいえ | 複数のオプションが利用可能 | 画像生成のためのオプションのスタイル選択です。指定がない場合、デフォルトで"realistic_image"スタイルが適用されます。 | -| `ネガティブプロンプト` | STRING | いいえ | - | 画像内で望ましくない要素を説明するオプションのテキストです。（デフォルト: ""） | -| `Recraftコントロール` | RECRAFT_CONTROLS | いいえ | 複数のオプションが利用可能 | Recraft Controlsノードを介した生成に対するオプションの追加制御です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 画像生成のためのプロンプトです。（デフォルト: ""） | STRING | はい | - | +| `サイズ` | 生成される画像のサイズです。（デフォルト: "1024x1024"） | COMBO | はい | "1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | +| `枚数` | 生成する画像の枚数です。（デフォルト: 1） | INT | はい | 1-6 | +| `シード` | ノードを再実行するかどうかを決定するシード値です。シード値に関わらず、実際の結果は非決定的です。（デフォルト: 0） | INT | はい | 0-18446744073709551615 | +| `recraft_style` | 画像生成のためのオプションのスタイル選択です。指定がない場合、デフォルトで"realistic_image"スタイルが適用されます。 | RECRAFT_STYLE | いいえ | 複数のオプションが利用可能 | +| `ネガティブプロンプト` | 画像内で望ましくない要素を説明するオプションのテキストです。（デフォルト: ""） | STRING | いいえ | - | +| `Recraftコントロール` | Recraft Controlsノードを介した生成に対するオプションの追加制御です。 | RECRAFT_CONTROLS | いいえ | 複数のオプションが利用可能 | **注記:** `seed`パラメータはノードが再実行されるタイミングのみを制御し、画像生成を決定論的にするものではありません。同じシード値でも、実際の出力画像は異なる場合があります。 @@ -29,9 +27,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `IMAGE` | IMAGE | バッチ化されたテンソル出力としての生成画像です。複数の画像が生成された場合（n > 1）、それらはバッチ次元に沿って連結されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | バッチ化されたテンソル出力としての生成画像です。複数の画像が生成された場合（n > 1）、それらはバッチ次元に沿って連結されます。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToImageNode/ja.md) --- **Source fingerprint (SHA-256):** `28c510ccfad13ddb50700b465af14deaa3c7c1f8597fef048d89094fd24fcd7d` diff --git a/ja/built-in-nodes/RecraftTextToVectorNode.mdx b/ja/built-in-nodes/RecraftTextToVectorNode.mdx index eba168efd..9b0edfd57 100644 --- a/ja/built-in-nodes/RecraftTextToVectorNode.mdx +++ b/ja/built-in-nodes/RecraftTextToVectorNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "RecraftTextToVectorNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToVectorNode/ja.md) - テキストプロンプトと解像度に基づいて、同期的にSVGベクターイラストを生成します。このノードはプロンプトをRecraft APIに送信し、生成されたSVGコンテンツを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト。（デフォルト：""） | -| `サブスタイル` | COMBO | はい | `"2d_character"`
`"2d_gradient"`
`"2d_illustration"`
`"2d_flat_character"`
`"2d_flat_illustration"`
`"2d_art"`
`"2d_art_character"`
`"2d_pattern"`
`"2d_pixel_art"`
`"2d_cyberpunk"`
`"2d_engraving"`
`"2d_black_and_white"`
`"2d_ink"`
`"2d_sketch"`
`"2d_watercolor"`
`"2d_animation"`
`"2d_comic"`
`"2d_children_illustration"`
`"2d_vintage"`
`"2d_retro"`
`"2d_hand_drawn"`
`"2d_psychedelic"`
`"2d_graffiti"`
`"2d_ukiyo_e"`
`"2d_woodcut"`
`"2d_art_deco"`
`"2d_art_nouveau"`
`"2d_bauhaus"`
`"2d_constructivism"`
`"2d_cubism"`
`"2d_futurism"`
`"2d_glitch"`
`"2d_impressionism"`
`"2d_naive"`
`"2d_pointillism"`
`"2d_pop_art"`
`"2d_realism"`
`"2d_renaissance"`
`"2d_rococo"`
`"2d_romanticism"`
`"2d_surrealism"`
`"2d_suprematism"`
`"2d_symbolism"`
`"2d_expressionism"`
`"2d_abstract"`
`"2d_minimalism"`
`"2d_contemporary"`
`"2d_modern"`
`"2d_brutalism"`
`"2d_metaphysical"`
`"2d_mannerism"`
`"2d_baroque"`
`"2d_neoclassicism"`
`"2d_orientalism"`
`"2d_primitivism"`
`"2d_fauvism"`
`"2d_rayonism"`
`"2d_orphism"`
`"2d_vorticism"`
`"2d_dadaism"`
`"2d_neo_expressionism"`
`"2d_transavantgarde"`
`"2d_new_wild"`
`"2d_graffiti_classic"`
`"2d_graffiti_modern"`
`"2d_graffiti_wildstyle"`
`"2d_graffiti_bubble"`
`"2d_graffiti_throwup"`
`"2d_graffiti_tag"`
`"2d_graffiti_blockbuster"`
`"2d_graffiti_mural"`
`"2d_graffiti_stencil"`
`"2d_graffiti_3d"`
`"2d_graffiti_character"`
`"2d_graffiti_abstract"`
`"2d_graffiti_urban"`
`"2d_graffiti_neo_muralism"`
`"2d_graffiti_post_graffiti"`
`"2d_graffiti_street_art"` | 生成に使用する具体的なベクターイラストスタイル。 | -| `サイズ` | COMBO | はい | `"1024x1024"`
`"1024x2048"`
`"2048x1024"`
`"2048x2048"`
`"512x512"`
`"512x1024"`
`"1024x512"`
`"2048x512"`
`"512x2048"` | 生成される画像のサイズ。（デフォルト："1024x1024"） | -| `生成数` | INT | はい | 1-6 | 生成する画像の数。（デフォルト：1、最小：1、最大：6） | -| `シード` | INT | はい | 0-18446744073709551615 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です。（デフォルト：0、最小：0、最大：18446744073709551615） | -| `ネガティブプロンプト` | STRING | いいえ | - | 画像内の望ましくない要素に関するオプションのテキスト説明。（デフォルト：""） | -| `Recraft コントロール` | CONTROLS | いいえ | - | Recraft Controlsノードを介した生成に対するオプションの追加制御。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 画像生成のためのプロンプト。（デフォルト：""） | STRING | はい | - | +| `サブスタイル` | 生成に使用する具体的なベクターイラストスタイル。 | COMBO | はい | `"2d_character"`
`"2d_gradient"`
`"2d_illustration"`
`"2d_flat_character"`
`"2d_flat_illustration"`
`"2d_art"`
`"2d_art_character"`
`"2d_pattern"`
`"2d_pixel_art"`
`"2d_cyberpunk"`
`"2d_engraving"`
`"2d_black_and_white"`
`"2d_ink"`
`"2d_sketch"`
`"2d_watercolor"`
`"2d_animation"`
`"2d_comic"`
`"2d_children_illustration"`
`"2d_vintage"`
`"2d_retro"`
`"2d_hand_drawn"`
`"2d_psychedelic"`
`"2d_graffiti"`
`"2d_ukiyo_e"`
`"2d_woodcut"`
`"2d_art_deco"`
`"2d_art_nouveau"`
`"2d_bauhaus"`
`"2d_constructivism"`
`"2d_cubism"`
`"2d_futurism"`
`"2d_glitch"`
`"2d_impressionism"`
`"2d_naive"`
`"2d_pointillism"`
`"2d_pop_art"`
`"2d_realism"`
`"2d_renaissance"`
`"2d_rococo"`
`"2d_romanticism"`
`"2d_surrealism"`
`"2d_suprematism"`
`"2d_symbolism"`
`"2d_expressionism"`
`"2d_abstract"`
`"2d_minimalism"`
`"2d_contemporary"`
`"2d_modern"`
`"2d_brutalism"`
`"2d_metaphysical"`
`"2d_mannerism"`
`"2d_baroque"`
`"2d_neoclassicism"`
`"2d_orientalism"`
`"2d_primitivism"`
`"2d_fauvism"`
`"2d_rayonism"`
`"2d_orphism"`
`"2d_vorticism"`
`"2d_dadaism"`
`"2d_neo_expressionism"`
`"2d_transavantgarde"`
`"2d_new_wild"`
`"2d_graffiti_classic"`
`"2d_graffiti_modern"`
`"2d_graffiti_wildstyle"`
`"2d_graffiti_bubble"`
`"2d_graffiti_throwup"`
`"2d_graffiti_tag"`
`"2d_graffiti_blockbuster"`
`"2d_graffiti_mural"`
`"2d_graffiti_stencil"`
`"2d_graffiti_3d"`
`"2d_graffiti_character"`
`"2d_graffiti_abstract"`
`"2d_graffiti_urban"`
`"2d_graffiti_neo_muralism"`
`"2d_graffiti_post_graffiti"`
`"2d_graffiti_street_art"` | +| `サイズ` | 生成される画像のサイズ。（デフォルト："1024x1024"） | COMBO | はい | `"1024x1024"`
`"1024x2048"`
`"2048x1024"`
`"2048x2048"`
`"512x512"`
`"512x1024"`
`"1024x512"`
`"2048x512"`
`"512x2048"` | +| `生成数` | 生成する画像の数。（デフォルト：1、最小：1、最大：6） | INT | はい | 1-6 | +| `シード` | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です。（デフォルト：0、最小：0、最大：18446744073709551615） | INT | はい | 0-18446744073709551615 | +| `ネガティブプロンプト` | 画像内の望ましくない要素に関するオプションのテキスト説明。（デフォルト：""） | STRING | いいえ | - | +| `Recraft コントロール` | Recraft Controlsノードを介した生成に対するオプションの追加制御。 | CONTROLS | いいえ | - | **注記:** `seed`パラメータはノードが再実行されるタイミングのみを制御し、生成結果を決定論的にするものではありません。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `SVG` | SVG | SVG形式で生成されたベクターイラスト | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `SVG` | SVG形式で生成されたベクターイラスト | SVG | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToVectorNode/ja.md) --- **Source fingerprint (SHA-256):** `3ac4057fa100a207c0400d0d01756899fc02261e3fb7d962fb0057e6c6519100` diff --git a/ja/built-in-nodes/RecraftV4TextToImageNode.mdx b/ja/built-in-nodes/RecraftV4TextToImageNode.mdx index 1b2ca584f..66a1b4d8f 100644 --- a/ja/built-in-nodes/RecraftV4TextToImageNode.mdx +++ b/ja/built-in-nodes/RecraftV4TextToImageNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "RecraftV4TextToImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/ja.md) - このノードは、Recraft V4 または V4 Pro AI モデルを使用して、テキスト説明から画像を生成します。プロンプトを外部APIに送信し、生成された画像を返します。モデル、画像サイズ、生成枚数を指定して出力を制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | なし | 画像生成のためのプロンプト。最大10,000文字。 | -| `negative_prompt` | STRING | いいえ | なし | 画像に含めたくない要素のオプションのテキスト説明。 | -| `model` | COMBO | はい | `"recraftv4"`
`"recraftv4_pro"` | 生成に使用するモデル。モデルを選択すると、利用可能な画像サイズが決まります。 | -| `size` | COMBO | はい | モデルによって異なります | 生成される画像のサイズ。選択肢は選択したモデルによって異なります。`recraftv4` のデフォルトは "1024x1024" です。`recraftv4_pro` のデフォルトは "2048x2048" です。 | -| `n` | INT | はい | 1 ～ 6 | 生成する画像の枚数（デフォルト：1）。 | -| `seed` | INT | はい | 0 ～ 18446744073709551615 | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関係なく非決定的です（デフォルト：0）。 | -| `recraft_controls` | CUSTOM | いいえ | なし | Recraft Controls ノードによる生成のオプションの追加制御。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | 画像生成のためのプロンプト。最大10,000文字。 | STRING | はい | なし | +| `negative_prompt` | 画像に含めたくない要素のオプションのテキスト説明。 | STRING | いいえ | なし | +| `model` | 生成に使用するモデル。モデルを選択すると、利用可能な画像サイズが決まります。 | COMBO | はい | `"recraftv4"`
`"recraftv4_pro"` | +| `size` | 生成される画像のサイズ。選択肢は選択したモデルによって異なります。`recraftv4` のデフォルトは "1024x1024" です。`recraftv4_pro` のデフォルトは "2048x2048" です。 | COMBO | はい | モデルによって異なります | +| `n` | 生成する画像の枚数（デフォルト：1）。 | INT | はい | 1 ～ 6 | +| `seed` | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関係なく非決定的です（デフォルト：0）。 | INT | はい | 0 ～ 18446744073709551615 | +| `recraft_controls` | Recraft Controls ノードによる生成のオプションの追加制御。 | CUSTOM | いいえ | なし | **注記：** `size` パラメータは動的な入力であり、選択可能なオプションは選択された `model` によって変化します。`seed` 値は再現可能な画像出力を保証するものではありません。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | 生成された画像、または画像のバッチ。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された画像、または画像のバッチ。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/ja.md) --- **Source fingerprint (SHA-256):** `77d549a43aeee670b6c42069654017fb6b202ed83ca330389573b790bad6ae6e` diff --git a/ja/built-in-nodes/RecraftV4TextToVectorNode.mdx b/ja/built-in-nodes/RecraftV4TextToVectorNode.mdx index eb90bfc8a..ba6e1eb2a 100644 --- a/ja/built-in-nodes/RecraftV4TextToVectorNode.mdx +++ b/ja/built-in-nodes/RecraftV4TextToVectorNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "RecraftV4TextToVectorNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,23 +13,25 @@ Recraft V4 Text to Vector ノードは、テキストの説明からスケーラ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | なし | 画像生成のためのプロンプト。最大10,000文字。 | -| `negative_prompt` | STRING | いいえ | なし | 画像内で避けたい要素を記述するオプションのテキスト。 | -| `model` | COMBO | はい | `"recraftv4"`
`"recraftv4_pro"` | 生成に使用するモデル。モデルを選択すると、利用可能な `size` オプションが変わります。 | -| `size` | COMBO | はい | `recraftv4` の場合：`"1024x1024"`、`"1152x896"`、`"896x1152"`、`"1216x832"`、`"832x1216"`、`"1344x768"`、`"768x1344"`、`"1536x640"`、`"640x1536"`
`recraftv4_pro` の場合：`"2048x2048"`、`"2304x1792"`、`"1792x2304"`、`"2432x1664"`、`"1664x2432"`、`"2688x1536"`、`"1536x2688"`、`"3072x1280"`、`"1280x3072"` | 生成される画像のサイズ。利用可能なオプションは選択した `model` によって異なります。デフォルトは `recraftv4` の場合は `"1024x1024"`、`recraftv4_pro` の場合は `"2048x2048"` です。 | -| `n` | INT | はい | 1 ～ 6 | 生成する画像の数（デフォルト：1）。 | -| `seed` | INT | はい | 0 ～ 18446744073709551615 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です。 | -| `recraft_controls` | CUSTOM | いいえ | なし | Recraft Controls ノードを使用した、生成に対するオプションの追加制御。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | 画像生成のためのプロンプト。最大10,000文字。 | STRING | はい | なし | +| `negative_prompt` | 画像内で避けたい要素を記述するオプションのテキスト。 | STRING | いいえ | なし | +| `model` | 生成に使用するモデル。モデルを選択すると、利用可能な `size` オプションが変わります。 | COMBO | はい | `"recraftv4"`
`"recraftv4_pro"` | +| `size` | 生成される画像のサイズ。利用可能なオプションは選択した `model` によって異なります。デフォルトは `recraftv4` の場合は `"1024x1024"`、`recraftv4_pro` の場合は `"2048x2048"` です。 | COMBO | はい | `recraftv4` の場合：`"1024x1024"`、`"1152x896"`、`"896x1152"`、`"1216x832"`、`"832x1216"`、`"1344x768"`、`"768x1344"`、`"1536x640"`、`"640x1536"`
`recraftv4_pro` の場合：`"2048x2048"`、`"2304x1792"`、`"1792x2304"`、`"2432x1664"`、`"1664x2432"`、`"2688x1536"`、`"1536x2688"`、`"3072x1280"`、`"1280x3072"` | +| `n` | 生成する画像の数（デフォルト：1）。 | INT | はい | 1 ～ 6 | +| `seed` | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です。 | INT | はい | 0 ～ 18446744073709551615 | +| `recraft_controls` | Recraft Controls ノードを使用した、生成に対するオプションの追加制御。 | CUSTOM | いいえ | なし | **注記：** `size` パラメータは動的な入力であり、利用可能なオプションは選択された `model` によって変わります。`seed` の値は、外部APIからの再現可能な結果を保証するものではありません。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | SVG | 生成されたスケーラブルベクターグラフィックス（SVG）画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成されたスケーラブルベクターグラフィックス（SVG）画像。 | SVG | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/ja.md) --- **Source fingerprint (SHA-256):** `ffab67555923cea29b50ae71e3ffaad13340aead4d01973a70244468fae4420d` diff --git a/ja/built-in-nodes/RecraftVectorizeImageNode.mdx b/ja/built-in-nodes/RecraftVectorizeImageNode.mdx index cd87cde35..f43efae48 100644 --- a/ja/built-in-nodes/RecraftVectorizeImageNode.mdx +++ b/ja/built-in-nodes/RecraftVectorizeImageNode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "RecraftVectorizeImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/ja.md) - 以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。 入力画像から同期的にSVGを生成します。このノードは、入力バッチ内の各画像を処理し、その結果を1つのSVG出力に結合することで、ラスター画像をベクターグラフィックス形式に変換します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | SVG形式に変換する入力画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | SVG形式に変換する入力画像 | IMAGE | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `SVG` | SVG | 処理されたすべての画像を結合した、生成されたベクターグラフィックス出力 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `SVG` | 処理されたすべての画像を結合した、生成されたベクターグラフィックス出力 | SVG | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/ja.md) --- **Source fingerprint (SHA-256):** `acd6b5bdb90ad01c0201e434fff84923dbe8a253f7fc5c46efb2d7413f49a8bd` diff --git a/ja/built-in-nodes/ReferenceLatent.mdx b/ja/built-in-nodes/ReferenceLatent.mdx index 2af9cda78..ca4382a44 100644 --- a/ja/built-in-nodes/ReferenceLatent.mdx +++ b/ja/built-in-nodes/ReferenceLatent.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ReferenceLatent" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceLatent/ja.md) - このノードは、編集モデル用のガイド用潜在変数を設定します。条件付けデータとオプションの潜在変数入力を受け取り、参照潜在変数情報を含むように条件付けを変更します。モデルが対応している場合、複数のReferenceLatentノードを連鎖させて、複数の参照画像を設定することもできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `条件付け` | CONDITIONING | はい | - | 参照潜在変数情報で変更される条件付けデータ | -| `潜在変数` | LATENT | いいえ | - | 編集モデルの参照として使用するオプションの潜在変数データ | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `条件付け` | 参照潜在変数情報で変更される条件付けデータ | CONDITIONING | はい | - | +| `潜在変数` | 編集モデルの参照として使用するオプションの潜在変数データ | LATENT | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | CONDITIONING | 参照潜在変数情報を含む変更済みの条件付けデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 参照潜在変数情報を含む変更済みの条件付けデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceLatent/ja.md) --- **Source fingerprint (SHA-256):** `d233778cfa7d6f057509f93f8445a0bbf151308e430fc50e28577f48cf136b53` diff --git a/ja/built-in-nodes/ReferenceTimbreAudio.mdx b/ja/built-in-nodes/ReferenceTimbreAudio.mdx index 2548c9a5c..d2bac5239 100644 --- a/ja/built-in-nodes/ReferenceTimbreAudio.mdx +++ b/ja/built-in-nodes/ReferenceTimbreAudio.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ReferenceTimbreAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceTimbreAudio/ja.md) - このノードは、「ace step 1.5」プロセスで使用する参照音声の音色を設定します。条件付け入力と、オプションで音声の潜在表現を受け取り、その潜在データを条件付けに付加することで、ワークフロー内の後続ノードで使用できるようにします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `コンディショニング` | CONDITIONING | はい | | 参照音声情報が付加される条件付けデータです。 | -| `latent` | LATENT | いいえ | | 参照音声のオプションの潜在表現です。指定された場合、そのサンプルが条件付けに追加されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `コンディショニング` | 参照音声情報が付加される条件付けデータです。 | CONDITIONING | はい | | +| `latent` | 参照音声のオプションの潜在表現です。指定された場合、そのサンプルが条件付けに追加されます。 | LATENT | いいえ | | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `コンディショニング` | CONDITIONING | 変更された条件付けデータです。オプションの`latent`入力が指定された場合、参照音声の音色潜在情報が含まれます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `コンディショニング` | 変更された条件付けデータです。オプションの`latent`入力が指定された場合、参照音声の音色潜在情報が含まれます。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceTimbreAudio/ja.md) --- **Source fingerprint (SHA-256):** `2d39399eb79cfe76b72d01326b89863e2553bc23414b1166d310e5222b215b29` diff --git a/ja/built-in-nodes/RegexExtract.mdx b/ja/built-in-nodes/RegexExtract.mdx index 550e052f9..612b64f3a 100644 --- a/ja/built-in-nodes/RegexExtract.mdx +++ b/ja/built-in-nodes/RegexExtract.mdx @@ -5,31 +5,31 @@ sidebarTitle: "RegexExtract" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexExtract/ja.md) - 以下が翻訳結果です。 RegexExtract ノードは、正規表現を使用してテキスト内のパターンを検索します。最初の一致、すべての一致、一致結果の特定のグループ、または複数の一致にわたるすべてのグループを検索できます。このノードは、大文字と小文字の区別、複数行マッチング、ドットオール動作など、さまざまな正規表現フラグをサポートしています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `文字列` | STRING | はい | - | パターンを検索する入力テキスト | -| `正規表現パターン` | STRING | はい | - | 検索する正規表現パターン | -| `モード` | COMBO | はい | "First Match"
"All Matches"
"First Group"
"All Groups" | 抽出モード。一致結果のどの部分を返すかを指定します（デフォルト: "First Match"） | -| `大文字小文字を区別しない` | BOOLEAN | いいえ | - | マッチング時に大文字と小文字を区別しないかどうか（デフォルト: True） | -| `複数行` | BOOLEAN | いいえ | - | 文字列を複数行として扱うかどうか（デフォルト: False） | -| `ドット全一致` | BOOLEAN | いいえ | - | ドット（.）が改行に一致するかどうか（デフォルト: False） | -| `グループインデックス` | INT | いいえ | 0-100 | グループモード使用時に抽出するキャプチャグループのインデックス（デフォルト: 1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `文字列` | パターンを検索する入力テキスト | STRING | はい | - | +| `正規表現パターン` | 検索する正規表現パターン | STRING | はい | - | +| `モード` | 抽出モード。一致結果のどの部分を返すかを指定します（デフォルト: "First Match"） | COMBO | はい | "First Match"
"All Matches"
"First Group"
"All Groups" | +| `大文字小文字を区別しない` | マッチング時に大文字と小文字を区別しないかどうか（デフォルト: True） | BOOLEAN | いいえ | - | +| `複数行` | 文字列を複数行として扱うかどうか（デフォルト: False） | BOOLEAN | いいえ | - | +| `ドット全一致` | ドット（.）が改行に一致するかどうか（デフォルト: False） | BOOLEAN | いいえ | - | +| `グループインデックス` | グループモード使用時に抽出するキャプチャグループのインデックス（デフォルト: 1） | INT | いいえ | 0-100 | **注記:** "First Group" または "All Groups" モードを使用する場合、`group_index` パラメータは抽出するキャプチャグループを指定します。グループ 0 は一致全体を表し、グループ 1 以降は正規表現パターン内の番号付きキャプチャグループを表します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | 選択されたモードとパラメータに基づいて抽出されたテキスト | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 選択されたモードとパラメータに基づいて抽出されたテキスト | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexExtract/ja.md) --- **Source fingerprint (SHA-256):** `38e365d21bea966ed65bc78c184766330924fe75392cdb88c6978052037f5d5f` diff --git a/ja/built-in-nodes/RegexMatch.mdx b/ja/built-in-nodes/RegexMatch.mdx index 45f0613ad..f9961422d 100644 --- a/ja/built-in-nodes/RegexMatch.mdx +++ b/ja/built-in-nodes/RegexMatch.mdx @@ -5,27 +5,27 @@ sidebarTitle: "RegexMatch" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexMatch/ja.md) - このドキュメントは AI が生成しました。誤りを見つけたり、改善の提案がある場合は、ぜひコントリビュートしてください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexMatch/en.md) RegexMatch ノードは、テキスト文字列が指定された正規表現パターンに一致するかどうかを確認します。入力文字列を検索し、パターンがテキスト内のどこかに見つかったかどうかを示す単純な yes/no の結果を返します。大文字と小文字を区別しないマッチングやマルチラインモードなどのオプションを有効にすることで、検索の動作を調整できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `文字列` | STRING | はい | - | 一致を検索するテキスト文字列 | -| `正規表現パターン` | STRING | はい | - | 文字列と照合する正規表現パターン | -| `大文字小文字を区別しない` | BOOLEAN | いいえ | - | マッチング時に大文字と小文字を区別しないかどうか（デフォルト：True） | -| `複数行` | BOOLEAN | いいえ | - | 正規表現マッチングのマルチラインモードを有効にするかどうか（デフォルト：False） | -| `ドット全一致` | BOOLEAN | いいえ | - | 正規表現マッチングのドットオールモードを有効にするかどうか（デフォルト：False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `文字列` | 一致を検索するテキスト文字列 | STRING | はい | - | +| `正規表現パターン` | 文字列と照合する正規表現パターン | STRING | はい | - | +| `大文字小文字を区別しない` | マッチング時に大文字と小文字を区別しないかどうか（デフォルト：True） | BOOLEAN | いいえ | - | +| `複数行` | 正規表現マッチングのマルチラインモードを有効にするかどうか（デフォルト：False） | BOOLEAN | いいえ | - | +| `ドット全一致` | 正規表現マッチングのドットオールモードを有効にするかどうか（デフォルト：False） | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `matches` | BOOLEAN | 正規表現パターンが入力文字列の一部に一致する場合は True、それ以外の場合は False を返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `matches` | 正規表現パターンが入力文字列の一部に一致する場合は True、それ以外の場合は False を返します | BOOLEAN | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexMatch/ja.md) --- **Source fingerprint (SHA-256):** `b0ee05277edd8600d880051aa33a940c01abc170553515ab02960f25b1aec2be` diff --git a/ja/built-in-nodes/RegexReplace.mdx b/ja/built-in-nodes/RegexReplace.mdx index 935ad7240..5baf80810 100644 --- a/ja/built-in-nodes/RegexReplace.mdx +++ b/ja/built-in-nodes/RegexReplace.mdx @@ -5,29 +5,29 @@ sidebarTitle: "RegexReplace" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexReplace/ja.md) - 以下が翻訳結果です。 RegexReplaceノードは、正規表現パターンを使用して文字列内のテキストを検索および置換します。テキストパターンを検索し、新しいテキストに置き換えることができます。パターンマッチングの動作を制御するオプションとして、大文字と小文字の区別、複数行マッチング、置換回数の制限などがあります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|------|-------|-------------| -| `文字列` | STRING | はい | - | 検索および置換を行う入力テキスト文字列 | -| `正規表現パターン` | STRING | はい | - | 入力文字列内で検索する正規表現パターン | -| `置換` | STRING | はい | - | マッチしたパターンと置き換えるテキスト | -| `大文字小文字を区別しない` | BOOLEAN | いいえ | - | 有効にすると、パターンマッチングで大文字と小文字の違いを無視します（デフォルト：True） | -| `複数行` | BOOLEAN | いいえ | - | 有効にすると、^ と $ の動作が変更され、文字列全体の先頭/末尾ではなく各行の先頭/末尾でマッチするようになります（デフォルト：False） | -| `ドット全一致` | BOOLEAN | いいえ | - | 有効にすると、ドット（.）文字が改行文字を含む任意の文字にマッチします。無効の場合、ドットは改行にマッチしません（デフォルト：False） | -| `回数` | INT | いいえ | 0-100 | 実行する置換の最大回数。0に設定するとすべての出現箇所を置換します（デフォルト）。1に設定すると最初のマッチのみ、2に設定すると最初の2つのマッチを置換します（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `文字列` | 検索および置換を行う入力テキスト文字列 | STRING | はい | - | +| `正規表現パターン` | 入力文字列内で検索する正規表現パターン | STRING | はい | - | +| `置換` | マッチしたパターンと置き換えるテキスト | STRING | はい | - | +| `大文字小文字を区別しない` | 有効にすると、パターンマッチングで大文字と小文字の違いを無視します（デフォルト：True） | BOOLEAN | いいえ | - | +| `複数行` | 有効にすると、^ と $ の動作が変更され、文字列全体の先頭/末尾ではなく各行の先頭/末尾でマッチするようになります（デフォルト：False） | BOOLEAN | いいえ | - | +| `ドット全一致` | 有効にすると、ドット（.）文字が改行文字を含む任意の文字にマッチします。無効の場合、ドットは改行にマッチしません（デフォルト：False） | BOOLEAN | いいえ | - | +| `回数` | 実行する置換の最大回数。0に設定するとすべての出現箇所を置換します（デフォルト）。1に設定すると最初のマッチのみ、2に設定すると最初の2つのマッチを置換します（デフォルト：0） | INT | いいえ | 0-100 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | 指定された置換が適用された変更後の文字列 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 指定された置換が適用された変更後の文字列 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexReplace/ja.md) --- **Source fingerprint (SHA-256):** `4a4d4b317ee23314a4ac26cf3b58a2cc904bfb8111608f88345c1014b801ea00` diff --git a/ja/built-in-nodes/RemoveBackground.mdx b/ja/built-in-nodes/RemoveBackground.mdx index 1de482bc8..6c13dc705 100644 --- a/ja/built-in-nodes/RemoveBackground.mdx +++ b/ja/built-in-nodes/RemoveBackground.mdx @@ -5,8 +5,6 @@ sidebarTitle: "RemoveBackground" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RemoveBackground/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,16 +13,18 @@ Remove Background ノードは、背景除去モデルを使用して、入力 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | なし | 背景を除去する入力画像 | -| `bg_removal_model` | BACKGROUND_REMOVAL_MODEL | はい | なし | マスク生成に使用する背景除去モデル | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 背景を除去する入力画像 | IMAGE | はい | なし | +| `bg_removal_model` | マスク生成に使用する背景除去モデル | BACKGROUND_REMOVAL_MODEL | はい | なし | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `mask` | MASK | 入力画像の主要な被写体を強調表示する生成された前景マスク | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `mask` | 入力画像の主要な被写体を強調表示する生成された前景マスク | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RemoveBackground/ja.md) --- **Source fingerprint (SHA-256):** `cd19134e6afed4d31096b613dd534eacad39afe7de2c8b74feab512bd5f09f66` diff --git a/ja/built-in-nodes/RenderSplat.mdx b/ja/built-in-nodes/RenderSplat.mdx new file mode 100644 index 000000000..faa2ac1fa --- /dev/null +++ b/ja/built-in-nodes/RenderSplat.mdx @@ -0,0 +1,39 @@ +--- +title: "RenderSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RenderSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RenderSplat" +icon: "circle" +mode: wide +--- +# Render Splat + +異方性EWAラスタライザーを使用してガウシアンスプラットを画像としてレンダリングします。配向楕円スプラット、アンチエイリアシング、奥行きソートによる前面から背面へのレンダリングを採用しています。カメラは`camera_info`入力から取得するか、空のままにしてスプラットを自動フレーミングすることもできます。1より大きいフレーム数を設定すると、ビデオノードに供給するためのターンテーブルバッチ画像を生成します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `splat` | レンダリングするガウシアンスプラットデータ | SPLAT | はい | - | +| `幅` | 出力画像の幅（デフォルト：1024） | INT | はい | 64～2048（ステップ：8） | +| `高さ` | 出力画像の高さ（デフォルト：1024） | INT | はい | 64～2048（ステップ：8） | +| `フレーム数` | レンダリングするフレーム数。-1、0、または1を指定すると単一の静止画像が生成されます。1より大きい値を指定すると、カメラが360度完全に回転するターンテーブルアニメーションが作成されます。負の値を指定すると、逆方向に回転します（デフォルト：1） | INT | はい | -240～240 | +| `スプラットスケール` | 各スプラットの投影フットプリントに対する乗数。値を小さくするとより鮮明な点に、大きくするとより柔らかく充実した表面になります（デフォルト：1.0） | FLOAT | はい | 0.1～5.0（ステップ：0.05） | +| `シャープ化` | 重なり合うスプラットのシャープネスを制御します。1.0の値は物理的に正しいブレンドを提供します。1.0より大きい値は、各ピクセルを支配的な（最も近い）スプラットに偏らせ、スプラットを縮小したり隙間を開けたりせずに、より鮮明なテクスチャを実現します（デフォルト：2.0） | FLOAT | はい | 1.0～8.0（ステップ：0.5） | +| `ヘッドライトシェーディング` | スプラットのサーフェル法線を使用した、カメラ位置からのライトによる拡散シェーディング。視点から遠ざかる表面を暗くし、形状と曲率を明らかにします。0はフラットなアルベド、1は最も強いシェーディングになります（デフォルト：0.0） | FLOAT | はい | 0.0～3.0（ステップ：0.05） | +| `不透明度しきい値` | このしきい値未満の不透明度を持つガウシアンを除去します。これにより、かすんだ浮遊物が除去されます（デフォルト：0.0） | FLOAT | はい | 0.0～1.0（ステップ：0.01） | +| `レンダースタイル` | 画像出力の表示内容。オプション：color（フルカラーレンダリング）、clay（ニュートラルアルベドシェーディング）、depth（近くのオブジェクトが明るく表示）、normal（OpenGL法線マップ）（デフォルト："color"） | COMBO | はい | "color"
"clay"
"depth"
"normal" | +| `背景` | レンダリングの背景色（デフォルト：#000000） | COLOR | はい | - | +| `背景画像` | スプラットの背後に合成されるオプションの背景プレート。単色の背景色を上書きします。レンダリングサイズにリサイズされます。画像のバッチはフレームごとに使用され、単一の画像はすべてのフレームで使用されます。colorおよびclayレンダリングスタイルでのみ機能します | IMAGE | いいえ | - | +| `camera_info` | レンダリングに使用するカメラ。Load3D、Preview3D、またはCreate Camera Infoノードから取得できます。空の場合は、デフォルトの3/4ビューからスプラットが自動フレーミングされます | CAMERA_3D | いいえ | - | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `マスク` | ガウシアンスプラットのレンダリング画像 | IMAGE | +| `mask` | レンダリングされたスプラットのアルファマスク | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RenderSplat/ja.md) + +--- +**Source fingerprint (SHA-256):** `038bd9fb032f347ecda665c03719a64b0cf907599b701606f5cf6d0606d19d98` diff --git a/ja/built-in-nodes/RenormCFG.mdx b/ja/built-in-nodes/RenormCFG.mdx index 2c6e232de..738c2f284 100644 --- a/ja/built-in-nodes/RenormCFG.mdx +++ b/ja/built-in-nodes/RenormCFG.mdx @@ -5,25 +5,25 @@ sidebarTitle: "RenormCFG" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RenormCFG/ja.md) - 以下が翻訳結果です。 RenormCFGノードは、条件付きスケーリングと正規化を適用することで、拡散モデルにおける分類器フリーガイダンス（CFG）プロセスを変更します。指定されたタイムステップしきい値と再正規化係数に基づいてノイズ除去プロセスを調整し、画像生成中における条件付き予測と無条件予測の影響を制御します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | 再正規化CFGを適用する拡散モデル | -| `cfg_trunc` | FLOAT | いいえ | 0.0～100.0 | CFGスケーリングを適用するタイムステップしきい値。現在のタイムステップがこの値を下回る場合、CFGスケーリングが適用されます。それ以外の場合は、条件付き予測のみが使用されます（デフォルト：100.0） | -| `renorm_cfg` | FLOAT | いいえ | 0.0～100.0 | 元の条件付き予測に対するCFGスケーリング予測の最大ノルムを制限する再正規化係数。値0.0は再正規化を無効にします（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 再正規化CFGを適用する拡散モデル | MODEL | はい | - | +| `cfg_trunc` | CFGスケーリングを適用するタイムステップしきい値。現在のタイムステップがこの値を下回る場合、CFGスケーリングが適用されます。それ以外の場合は、条件付き予測のみが使用されます（デフォルト：100.0） | FLOAT | いいえ | 0.0～100.0 | +| `renorm_cfg` | 元の条件付き予測に対するCFGスケーリング予測の最大ノルムを制限する再正規化係数。値0.0は再正規化を無効にします（デフォルト：1.0） | FLOAT | いいえ | 0.0～100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 再正規化CFG関数が適用された変更済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 再正規化CFG関数が適用された変更済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RenormCFG/ja.md) --- **Source fingerprint (SHA-256):** `b59929606f7519574b7ad14a3caacee51e4f141dd6be3abb594217bcfdbc401e` diff --git a/ja/built-in-nodes/RepeatImageBatch.mdx b/ja/built-in-nodes/RepeatImageBatch.mdx index 8900efc51..7c6bdbdf4 100644 --- a/ja/built-in-nodes/RepeatImageBatch.mdx +++ b/ja/built-in-nodes/RepeatImageBatch.mdx @@ -5,19 +5,19 @@ sidebarTitle: "RepeatImageBatch" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RepeatImageBatch/ja.md) - RepeatImageBatchノードは、指定された画像を指定回数複製し、同一画像のバッチを作成するために設計されています。この機能は、バッチ処理やデータ拡張など、同じ画像の複数インスタンスを必要とする操作に役立ちます。 ## 入力 -| フィールド | データ型 | 説明 | -|---------|-------------|-----------------------------------------------------------------------------| -| `画像` | `IMAGE` | `画像`パラメータは、複製する画像を表します。バッチ全体で複製されるコンテンツを定義するために重要です。 | -| `量`| `INT` | `量`パラメータは、入力画像を複製する回数を指定します。出力バッチのサイズに直接影響し、柔軟なバッチ作成を可能にします。 | +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | `画像`パラメータは、複製する画像を表します。バッチ全体で複製されるコンテンツを定義するために重要です。 | `IMAGE` | +| `量` | `量`パラメータは、入力画像を複製する回数を指定します。出力バッチのサイズに直接影響し、柔軟なバッチ作成を可能にします。 | `INT` | ## 出力 -| フィールド | データ型 | 説明 | -|-------|-------------|--------------------------------------------------------------------------| -| `画像`| `IMAGE` | 出力は画像のバッチであり、各画像は入力画像と同一で、指定された`量`に従って複製されます。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 出力は画像のバッチであり、各画像は入力画像と同一で、指定された`量`に従って複製されます。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RepeatImageBatch/ja.md) diff --git a/ja/built-in-nodes/RepeatLatentBatch.mdx b/ja/built-in-nodes/RepeatLatentBatch.mdx index 70431cfe2..05599041f 100644 --- a/ja/built-in-nodes/RepeatLatentBatch.mdx +++ b/ja/built-in-nodes/RepeatLatentBatch.mdx @@ -5,19 +5,19 @@ sidebarTitle: "RepeatLatentBatch" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RepeatLatentBatch/ja.md) - RepeatLatentBatchノードは、指定された潜在表現のバッチを指定回数複製するように設計されています。これには、ノイズマスクやバッチインデックスなどの追加データも含まれる可能性があります。この機能は、データ拡張や特定の生成タスクなど、同じ潜在データの複数のインスタンスを必要とする操作において重要です。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `サンプル` | `LATENT` | 「samples」パラメータは、複製される潜在表現を表します。繰り返し処理の対象となるデータを定義するために不可欠です。 | -| `量` | `INT` | 「amount」パラメータは、入力サンプルを繰り返す回数を指定します。出力バッチのサイズに直接影響を与え、計算負荷と生成データの多様性に影響を及ぼします。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `サンプル` | 「samples」パラメータは、複製される潜在表現を表します。繰り返し処理の対象となるデータを定義するために不可欠です。 | `LATENT` | +| `量` | 「amount」パラメータは、入力サンプルを繰り返す回数を指定します。出力バッチのサイズに直接影響を与え、計算負荷と生成データの多様性に影響を及ぼします。 | `INT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 出力は、指定された「amount」に従って複製された、入力潜在表現の修正バージョンです。該当する場合、複製されたノイズマスクや調整されたバッチインデックスが含まれることがあります。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 出力は、指定された「amount」に従って複製された、入力潜在表現の修正バージョンです。該当する場合、複製されたノイズマスクや調整されたバッチインデックスが含まれることがあります。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RepeatLatentBatch/ja.md) diff --git a/ja/built-in-nodes/ReplaceText.mdx b/ja/built-in-nodes/ReplaceText.mdx index f9c283892..8ca8ab9ba 100644 --- a/ja/built-in-nodes/ReplaceText.mdx +++ b/ja/built-in-nodes/ReplaceText.mdx @@ -5,23 +5,23 @@ sidebarTitle: "ReplaceText" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceText/ja.md) - テキスト置換ノードは、単純なテキスト置換を実行します。入力内で指定されたテキストを検索し、そのすべての出現箇所を新しいテキストに置き換えます。この操作は、ノードに提供されたすべてのテキスト入力に適用されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `text` | STRING | はい | - | 処理するテキスト。 | -| `find` | STRING | はい | - | 検索するテキスト（デフォルト：空文字列）。 | -| `replace` | STRING | はい | - | 置き換えるテキスト（デフォルト：空文字列）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `text` | 処理するテキスト。 | STRING | はい | - | +| `find` | 検索するテキスト（デフォルト：空文字列）。 | STRING | はい | - | +| `replace` | 置き換えるテキスト（デフォルト：空文字列）。 | STRING | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `text` | STRING | `find`テキストのすべての出現箇所が`replace`テキストに置き換えられた処理済みテキスト。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `text` | `find`テキストのすべての出現箇所が`replace`テキストに置き換えられた処理済みテキスト。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceText/ja.md) --- **Source fingerprint (SHA-256):** `e9d4681e638c5ca2732ec254282243e9e9cdd01cc985af8bbfa41dea208cb7dd` diff --git a/ja/built-in-nodes/ReplaceVideoLatentFrames.mdx b/ja/built-in-nodes/ReplaceVideoLatentFrames.mdx index 54cc21a27..20e8ff891 100644 --- a/ja/built-in-nodes/ReplaceVideoLatentFrames.mdx +++ b/ja/built-in-nodes/ReplaceVideoLatentFrames.mdx @@ -5,17 +5,15 @@ sidebarTitle: "ReplaceVideoLatentFrames" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceVideoLatentFrames/ja.md) - ReplaceVideoLatentFrames ノードは、ソースの潜在ビデオからフレームを抽出し、指定されたフレームインデックスから宛先の潜在ビデオに挿入します。ソースの潜在情報が提供されない場合は、宛先の潜在情報がそのまま返されます。このノードは負のインデックスを処理し、ソースフレームが宛先に収まらない場合は警告を発行します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `destination` | LATENT | はい | - | フレームが置き換えられる宛先の潜在情報です。 | -| `source` | LATENT | いいえ | - | 宛先の潜在情報に挿入するフレームを提供するソースの潜在情報です。提供されない場合、宛先の潜在情報はそのまま返されます。 | -| `index` | INT | はい | -MAX_RESOLUTION ～ MAX_RESOLUTION | 宛先の潜在情報内で、ソースの潜在フレームが配置される開始フレームインデックスです。負の値は末尾からのカウントを示します（デフォルト：0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `destination` | フレームが置き換えられる宛先の潜在情報です。 | LATENT | はい | - | +| `source` | 宛先の潜在情報に挿入するフレームを提供するソースの潜在情報です。提供されない場合、宛先の潜在情報はそのまま返されます。 | LATENT | いいえ | - | +| `index` | 宛先の潜在情報内で、ソースの潜在フレームが配置される開始フレームインデックスです。負の値は末尾からのカウントを示します（デフォルト：0）。 | INT | はい | -MAX_RESOLUTION ～ MAX_RESOLUTION | **制約事項：** @@ -24,9 +22,11 @@ ReplaceVideoLatentFrames ノードは、ソースの潜在ビデオからフレ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | LATENT | フレーム置き換え処理後の結果となる潜在ビデオです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | フレーム置き換え処理後の結果となる潜在ビデオです。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceVideoLatentFrames/ja.md) --- **Source fingerprint (SHA-256):** `b4e2b3dcdaa5c400fefc30262ae05cd1849896e6cb6bbb3a1bd6ce4d31583e23` diff --git a/ja/built-in-nodes/Reroute.mdx b/ja/built-in-nodes/Reroute.mdx index 9caca0565..78ed961ae 100644 --- a/ja/built-in-nodes/Reroute.mdx +++ b/ja/built-in-nodes/Reroute.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Reroute" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Reroute/ja.md) - 以下は、指定されたルールに従った日本語翻訳です。 --- @@ -23,4 +21,6 @@ mode: wide | Set Vertical | ノードの配線方向を垂直に設定します | | Set Horizontal | ノードの配線方向を水平に設定します | -配線ロジックが長く複雑になり、インターフェースを整理したい場合、2つの接続ポイントの間に```Reroute```ノードを挿入できます。このノードの入力と出力は型に制限がなく、デフォルトのスタイルは水平です。右クリックメニューから配線方向を垂直に変更することもできます。 \ No newline at end of file +配線ロジックが長く複雑になり、インターフェースを整理したい場合、2つの接続ポイントの間に```Reroute```ノードを挿入できます。このノードの入力と出力は型に制限がなく、デフォルトのスタイルは水平です。右クリックメニューから配線方向を垂直に変更することもできます。 + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Reroute/ja.md) diff --git a/ja/built-in-nodes/RescaleCFG.mdx b/ja/built-in-nodes/RescaleCFG.mdx index 5f4f80c81..5d6e52587 100644 --- a/ja/built-in-nodes/RescaleCFG.mdx +++ b/ja/built-in-nodes/RescaleCFG.mdx @@ -5,19 +5,19 @@ sidebarTitle: "RescaleCFG" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RescaleCFG/ja.md) - RescaleCFGノードは、指定された乗数に基づいてモデルの出力における条件付きスケールと無条件スケールを調整し、よりバランスが取れ制御された生成プロセスを実現するように設計されています。このノードは、モデルの出力をリスケーリングすることで、条件付き成分と無条件成分の影響を変更し、それによりモデルのパフォーマンスや出力品質を向上させる可能性があります。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `モデル` | MODEL | このモデルパラメータは、調整対象となる生成モデルを表します。ノードがモデルの出力にリスケーリング関数を適用するため、生成プロセスに直接影響を与える重要なパラメータです。 | -| `乗数` | `FLOAT` | この乗数パラメータは、モデルの出力に適用されるリスケーリングの程度を制御します。元の成分とリスケーリングされた成分のバランスを決定し、最終的な出力の特性に影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | このモデルパラメータは、調整対象となる生成モデルを表します。ノードがモデルの出力にリスケーリング関数を適用するため、生成プロセスに直接影響を与える重要なパラメータです。 | MODEL | +| `乗数` | この乗数パラメータは、モデルの出力に適用されるリスケーリングの程度を制御します。元の成分とリスケーリングされた成分のバランスを決定し、最終的な出力の特性に影響を与えます。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `モデル` | MODEL | 条件付きスケールと無条件スケールが調整された変更済みモデルです。適用されたリスケーリングにより、このモデルは特性が向上した出力を生成することが期待されます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 条件付きスケールと無条件スケールが調整された変更済みモデルです。適用されたリスケーリングにより、このモデルは特性が向上した出力を生成することが期待されます。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RescaleCFG/ja.md) diff --git a/ja/built-in-nodes/ResizeAndPadImage.mdx b/ja/built-in-nodes/ResizeAndPadImage.mdx index d0f4c54c1..5c63eec91 100644 --- a/ja/built-in-nodes/ResizeAndPadImage.mdx +++ b/ja/built-in-nodes/ResizeAndPadImage.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ResizeAndPadImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeAndPadImage/ja.md) - ResizeAndPadImage ノードは、画像を指定された寸法に収まるようにリサイズし、元のアスペクト比を維持します。ターゲットの幅と高さに収まるように画像を比例的に縮小した後、残りのスペースを埋めるためにエッジにパディングを追加します。パディングの色と補間方法をカスタマイズして、パディング領域の外観とリサイズの品質を制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | リサイズおよびパディング処理を行う入力画像 | -| `ターゲット幅` | INT | はい | 1 ～ MAX_RESOLUTION | 出力画像の希望幅（デフォルト: 512） | -| `ターゲット高さ` | INT | はい | 1 ～ MAX_RESOLUTION | 出力画像の希望高さ（デフォルト: 512） | -| `パディング色` | COMBO | はい | "white"
"black" | リサイズ後の画像周囲のパディング領域に使用する色（デフォルト: "white"） | -| `補間` | COMBO | はい | "area"
"bicubic"
"nearest-exact"
"bilinear"
"lanczos" | 画像のリサイズに使用する補間方法（デフォルト: "area"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | リサイズおよびパディング処理を行う入力画像 | IMAGE | はい | - | +| `ターゲット幅` | 出力画像の希望幅（デフォルト: 512） | INT | はい | 1 ～ MAX_RESOLUTION | +| `ターゲット高さ` | 出力画像の希望高さ（デフォルト: 512） | INT | はい | 1 ～ MAX_RESOLUTION | +| `パディング色` | リサイズ後の画像周囲のパディング領域に使用する色（デフォルト: "white"） | COMBO | はい | "white"
"black" | +| `補間` | 画像のリサイズに使用する補間方法（デフォルト: "area"） | COMBO | はい | "area"
"bicubic"
"nearest-exact"
"bilinear"
"lanczos" | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | リサイズおよびパディング処理された出力画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | リサイズおよびパディング処理された出力画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeAndPadImage/ja.md) --- **Source fingerprint (SHA-256):** `01566327d46043d1ff9ce404b4df8f49e853d0b01d07cc189fb843157dac1cac` diff --git a/ja/built-in-nodes/ResizeImageMaskNode.mdx b/ja/built-in-nodes/ResizeImageMaskNode.mdx index b95144ba8..5820eb574 100644 --- a/ja/built-in-nodes/ResizeImageMaskNode.mdx +++ b/ja/built-in-nodes/ResizeImageMaskNode.mdx @@ -5,35 +5,35 @@ sidebarTitle: "ResizeImageMaskNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImageMaskNode/ja.md) - 以下が翻訳結果です。 画像/マスクのリサイズノードは、入力された画像やマスクの寸法を変更するための複数の方法を提供します。倍率によるスケーリング、特定の寸法の指定、別の入力に合わせたサイズ変更、またはピクセル数に基づく調整が可能で、品質に応じたさまざまな補間方法を使用できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `input` | IMAGE または MASK | はい | なし | リサイズする画像またはマスク。 | -| `resize_type` | COMBO | はい | `SCALE_BY`
`SCALE_DIMENSIONS`
`SCALE_LONGER_DIMENSION`
`SCALE_SHORTER_DIMENSION`
`SCALE_WIDTH`
`SCALE_HEIGHT`
`SCALE_TOTAL_PIXELS`
`MATCH_SIZE` | 新しいサイズを決定する方法。選択したタイプに応じて、必要なパラメータが変わります。 | -| `multiplier` | FLOAT | いいえ | 0.01 ～ 8.0 | スケーリング倍率。`resize_type` が `SCALE_BY` の場合に必要です（デフォルト: 1.00）。 | -| `width` | INT | いいえ | 0 ～ 8192 | ターゲットの幅（ピクセル単位）。`resize_type` が `SCALE_DIMENSIONS` または `SCALE_WIDTH` の場合に必要です（デフォルト: 512）。 | -| `height` | INT | いいえ | 0 ～ 8192 | ターゲットの高さ（ピクセル単位）。`resize_type` が `SCALE_DIMENSIONS` または `SCALE_HEIGHT` の場合に必要です（デフォルト: 512）。 | -| `crop` | COMBO | いいえ | `"disabled"`
`"center"` | 寸法がアスペクト比と一致しない場合に適用するクロップ方法。`resize_type` が `SCALE_DIMENSIONS` または `MATCH_SIZE` の場合にのみ使用可能です（デフォルト: "center"）。 | -| `longer_size` | INT | いいえ | 0 ～ 8192 | 画像の長辺のターゲットサイズ。`resize_type` が `SCALE_LONGER_DIMENSION` の場合に必要です（デフォルト: 512）。 | -| `shorter_size` | INT | いいえ | 0 ～ 8192 | 画像の短辺のターゲットサイズ。`resize_type` が `SCALE_SHORTER_DIMENSION` の場合に必要です（デフォルト: 512）。 | -| `megapixels` | FLOAT | いいえ | 0.01 ～ 16.0 | ターゲットの総メガピクセル数。`resize_type` が `SCALE_TOTAL_PIXELS` の場合に必要です（デフォルト: 1.0）。 | -| `match` | IMAGE または MASK | いいえ | なし | 入力のサイズを合わせるための画像またはマスク。`resize_type` が `MATCH_SIZE` の場合に必要です。 | -| `scale_method` | COMBO | はい | `"nearest-exact"`
`"bilinear"`
`"area"`
`"bicubic"`
`"lanczos"` | スケーリングに使用する補間アルゴリズム（デフォルト: "area"）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `input` | リサイズする画像またはマスク。 | IMAGE または MASK | はい | なし | +| `resize_type` | 新しいサイズを決定する方法。選択したタイプに応じて、必要なパラメータが変わります。 | COMBO | はい | `SCALE_BY`
`SCALE_DIMENSIONS`
`SCALE_LONGER_DIMENSION`
`SCALE_SHORTER_DIMENSION`
`SCALE_WIDTH`
`SCALE_HEIGHT`
`SCALE_TOTAL_PIXELS`
`MATCH_SIZE` | +| `multiplier` | スケーリング倍率。`resize_type` が `SCALE_BY` の場合に必要です（デフォルト: 1.00）。 | FLOAT | いいえ | 0.01 ～ 8.0 | +| `width` | ターゲットの幅（ピクセル単位）。`resize_type` が `SCALE_DIMENSIONS` または `SCALE_WIDTH` の場合に必要です（デフォルト: 512）。 | INT | いいえ | 0 ～ 8192 | +| `height` | ターゲットの高さ（ピクセル単位）。`resize_type` が `SCALE_DIMENSIONS` または `SCALE_HEIGHT` の場合に必要です（デフォルト: 512）。 | INT | いいえ | 0 ～ 8192 | +| `crop` | 寸法がアスペクト比と一致しない場合に適用するクロップ方法。`resize_type` が `SCALE_DIMENSIONS` または `MATCH_SIZE` の場合にのみ使用可能です（デフォルト: "center"）。 | COMBO | いいえ | `"disabled"`
`"center"` | +| `longer_size` | 画像の長辺のターゲットサイズ。`resize_type` が `SCALE_LONGER_DIMENSION` の場合に必要です（デフォルト: 512）。 | INT | いいえ | 0 ～ 8192 | +| `shorter_size` | 画像の短辺のターゲットサイズ。`resize_type` が `SCALE_SHORTER_DIMENSION` の場合に必要です（デフォルト: 512）。 | INT | いいえ | 0 ～ 8192 | +| `megapixels` | ターゲットの総メガピクセル数。`resize_type` が `SCALE_TOTAL_PIXELS` の場合に必要です（デフォルト: 1.0）。 | FLOAT | いいえ | 0.01 ～ 16.0 | +| `match` | 入力のサイズを合わせるための画像またはマスク。`resize_type` が `MATCH_SIZE` の場合に必要です。 | IMAGE または MASK | いいえ | なし | +| `scale_method` | スケーリングに使用する補間アルゴリズム（デフォルト: "area"）。 | COMBO | はい | `"nearest-exact"`
`"bilinear"`
`"area"`
`"bicubic"`
`"lanczos"` | **注記:** `crop` パラメータは、`resize_type` が `SCALE_DIMENSIONS` または `MATCH_SIZE` に設定されている場合にのみ使用可能で、意味を持ちます。`SCALE_WIDTH` または `SCALE_HEIGHT` を使用する場合、もう一方の寸法は元のアスペクト比を維持するために自動的にスケーリングされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `resized` | IMAGE または MASK | リサイズされた画像またはマスク。入力のデータ型と一致します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `resized` | リサイズされた画像またはマスク。入力のデータ型と一致します。 | IMAGE または MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImageMaskNode/ja.md) --- **Source fingerprint (SHA-256):** `9ac0b153608ac971bb11d9d12ebd1f0f4d6e926604e8727a1bc3a311d95fbc03` diff --git a/ja/built-in-nodes/ResizeImagesByLongerEdge.mdx b/ja/built-in-nodes/ResizeImagesByLongerEdge.mdx index b5b88b2dc..c967fd7da 100644 --- a/ja/built-in-nodes/ResizeImagesByLongerEdge.mdx +++ b/ja/built-in-nodes/ResizeImagesByLongerEdge.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ResizeImagesByLongerEdge" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/ja.md) - ## 概要「長辺で画像リサイズ」ノードは、1つ以上の画像の最も長い辺が指定されたターゲット長に一致するようにリサイズします。幅と高さのどちらが長いかを自動的に判定し、元のアスペクト比を維持しながら、もう一方の寸法を比例的に拡大・縮小します。これは、画像の最大寸法に基づいて画像サイズを標準化する際に便利です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | リサイズする入力画像、または画像のバッチ。 | -| `longer_edge` | INT | はい | 1 - 8192 | 長辺のターゲット長。短辺は比例的に拡大・縮小されます。（デフォルト：1024） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | リサイズする入力画像、または画像のバッチ。 | IMAGE | はい | - | +| `longer_edge` | 長辺のターゲット長。短辺は比例的に拡大・縮小されます。（デフォルト：1024） | INT | はい | 1 - 8192 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | リサイズされた画像、または画像のバッチ。出力は入力と同じ数の画像を持ち、各画像の長辺が指定された `longer_edge` の長さに一致します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | リサイズされた画像、または画像のバッチ。出力は入力と同じ数の画像を持ち、各画像の長辺が指定された `longer_edge` の長さに一致します。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/ja.md) --- **Source fingerprint (SHA-256):** `687d5f159967eccbf64f0ec529ae6edeb94f4707ae10a3c75a5d0b08c86dd828` diff --git a/ja/built-in-nodes/ResizeImagesByShorterEdge.mdx b/ja/built-in-nodes/ResizeImagesByShorterEdge.mdx index 90d5da76c..dbeb8f4af 100644 --- a/ja/built-in-nodes/ResizeImagesByShorterEdge.mdx +++ b/ja/built-in-nodes/ResizeImagesByShorterEdge.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ResizeImagesByShorterEdge" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/ja.md) - このノードは、元のアスペクト比を維持しながら、短い方の辺が指定された長さに一致するように画像をリサイズします。短い辺のターゲット長に基づいて新しい寸法を計算し、リサイズされた画像を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | リサイズする入力画像です。 | -| `shorter_edge` | INT | いいえ | 1～8192 | 短い辺のターゲット長です。（デフォルト：512） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | リサイズする入力画像です。 | IMAGE | はい | - | +| `shorter_edge` | 短い辺のターゲット長です。（デフォルト：512） | INT | いいえ | 1～8192 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | 短い辺が指定されたターゲット長に一致するようにリサイズされた画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 短い辺が指定されたターゲット長に一致するようにリサイズされた画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/ja.md) --- **Source fingerprint (SHA-256):** `011949390faa9032587aec210d9e38d55b79e474c7a6dcd5d3c0e75594a1fc29` diff --git a/ja/built-in-nodes/ResolutionBucket.mdx b/ja/built-in-nodes/ResolutionBucket.mdx index 6730d0e31..f7db12a82 100644 --- a/ja/built-in-nodes/ResolutionBucket.mdx +++ b/ja/built-in-nodes/ResolutionBucket.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ResolutionBucket" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionBucket/ja.md) - このノードは、潜在画像のリストとそれに対応するコンディショニングデータを解像度ごとに整理します。同じ高さと幅を持つアイテムをグループ化し、解像度ごとに個別のバッチを作成します。この処理は、効率的なトレーニング用にデータを準備する際に有用であり、モデルが同じサイズの複数のアイテムをまとめて処理できるようにします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `latents` | LATENT | はい | なし | 解像度ごとにバケット化する潜在辞書のリスト。 | -| `conditioning` | CONDITIONING | はい | なし | コンディショニングリストのリスト（`latents`の長さと一致する必要があります）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `latents` | 解像度ごとにバケット化する潜在辞書のリスト。 | LATENT | はい | なし | +| `conditioning` | コンディショニングリストのリスト（`latents`の長さと一致する必要があります）。 | CONDITIONING | はい | なし | **注記：** `latents`リストのアイテム数は、`conditioning`リストのアイテム数と正確に一致する必要があります。各潜在辞書にはサンプルのバッチが含まれる可能性があり、対応するコンディショニングリストにはそのバッチに一致する数のコンディショニングアイテムが含まれている必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `conditioning` | LATENT | 解像度バケットごとに1つずつ、バッチ処理された潜在辞書のリスト。 | -| `conditioning` | CONDITIONING | 解像度バケットごとに1つずつ、コンディションリストのリスト。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `conditioning` | 解像度バケットごとに1つずつ、バッチ処理された潜在辞書のリスト。 | LATENT | +| `conditioning` | 解像度バケットごとに1つずつ、コンディションリストのリスト。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionBucket/ja.md) --- **Source fingerprint (SHA-256):** `2858de5f0827812002ca72ba5d7ce56411d1ef97e9a12a65fc4bea193a1a0ec0` diff --git a/ja/built-in-nodes/ResolutionSelector.mdx b/ja/built-in-nodes/ResolutionSelector.mdx index b4df90885..a2e3c15c6 100644 --- a/ja/built-in-nodes/ResolutionSelector.mdx +++ b/ja/built-in-nodes/ResolutionSelector.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ResolutionSelector" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionSelector/ja.md) - ### 概要 Resolution Selector ノードは、選択したアスペクト比と目標とする総メガピクセル数に基づいて、画像の幅と高さ（ピクセル単位）を計算します。このノードは、Empty Latent Image ノードなど、他のノードに一貫した寸法を生成するのに便利です。出力される寸法は、常に最も近い8の倍数に丸められます。 ### 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `アスペクト比` | COMBO | はい | `"SQUARE"`
`"PORTRAIT_2_3"`
`"PORTRAIT_3_4"`
`"PORTRAIT_9_16"`
`"LANDSCAPE_3_2"`
`"LANDSCAPE_4_3"`
`"LANDSCAPE_16_9"` | 出力寸法のアスペクト比（デフォルト: `"SQUARE"`）。 | -| `メガピクセル` | FLOAT | はい | 0.1 - 16.0 | 目標とする総メガピクセル数。1.0 MP は正方形アスペクト比の場合、約 1024×1024 に相当します（デフォルト: 1.0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `アスペクト比` | 出力寸法のアスペクト比（デフォルト: `"SQUARE"`）。 | COMBO | はい | `"SQUARE"`
`"PORTRAIT_2_3"`
`"PORTRAIT_3_4"`
`"PORTRAIT_9_16"`
`"LANDSCAPE_3_2"`
`"LANDSCAPE_4_3"`
`"LANDSCAPE_16_9"` | +| `メガピクセル` | 目標とする総メガピクセル数。1.0 MP は正方形アスペクト比の場合、約 1024×1024 に相当します（デフォルト: 1.0）。 | FLOAT | はい | 0.1 - 16.0 | ### 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `width` | INT | 計算された幅（ピクセル単位）。8の倍数になります。 | -| `height` | INT | 計算された高さ（ピクセル単位）。8の倍数になります。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `width` | 計算された幅（ピクセル単位）。8の倍数になります。 | INT | +| `height` | 計算された高さ（ピクセル単位）。8の倍数になります。 | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionSelector/ja.md) --- **Source fingerprint (SHA-256):** `221d38fa72c9989e06b706d33fd3e0dc4caa0f741dd2931864c58a6bd7f52613` diff --git a/ja/built-in-nodes/ReveImageCreateNode.mdx b/ja/built-in-nodes/ReveImageCreateNode.mdx index f45942b54..29e37a3f4 100644 --- a/ja/built-in-nodes/ReveImageCreateNode.mdx +++ b/ja/built-in-nodes/ReveImageCreateNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ReveImageCreateNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageCreateNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,22 +12,24 @@ Reve Image Create ノードは、Reve AI モデルを使用してテキスト記 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `プロンプト` | STRING | はい | N/A | 希望する画像のテキスト記述。最大2560文字。 | -| `モデル` | COMBO | はい | `"reve-create@20250915"`
`"3:2"`
`"16:9"`
`"9:16"`
`"2:3"`
`"4:3"`
`"3:4"`
`"1:1"` | 生成に使用するモデルバージョンとアスペクト比。最初のオプションでモデルを選択し、後続のオプションで画像のアスペクト比を定義します。 | -| `アップスケール` | COMBO | いいえ | `"disabled"`
`"enabled"` | アップスケーリング後処理ステップを有効または無効にします。有効にした場合、アップスケール係数も選択する必要があります。 | -| `upscale_factor` | COMBO | いいえ | `2`
`3`
`4` | 画像の解像度を拡大する倍率。このパラメータは `アップスケール` が `"enabled"` に設定されている場合のみ有効です。 | -| `背景を削除` | BOOLEAN | いいえ | N/A | 有効にすると、生成された画像に背景除去の後処理ステップを適用します。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを制御するシード値。注意：シード値に関係なく、結果は非決定的です。デフォルト：0。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 希望する画像のテキスト記述。最大2560文字。 | STRING | はい | N/A | +| `モデル` | 生成に使用するモデルバージョンとアスペクト比。最初のオプションでモデルを選択し、後続のオプションで画像のアスペクト比を定義します。 | COMBO | はい | `"reve-create@20250915"`
`"3:2"`
`"16:9"`
`"9:16"`
`"2:3"`
`"4:3"`
`"3:4"`
`"1:1"` | +| `アップスケール` | アップスケーリング後処理ステップを有効または無効にします。有効にした場合、アップスケール係数も選択する必要があります。 | COMBO | いいえ | `"disabled"`
`"enabled"` | +| `upscale_factor` | 画像の解像度を拡大する倍率。このパラメータは `アップスケール` が `"enabled"` に設定されている場合のみ有効です。 | COMBO | いいえ | `2`
`3`
`4` | +| `背景を削除` | 有効にすると、生成された画像に背景除去の後処理ステップを適用します。 | BOOLEAN | いいえ | N/A | +| `シード` | ノードを再実行するかどうかを制御するシード値。注意：シード値に関係なく、結果は非決定的です。デフォルト：0。 | INT | いいえ | 0 ～ 2147483647 | **注意：** `upscale_factor` パラメータは、`upscale` パラメータが `"enabled"` に設定されている場合にのみ依存します。`seed` パラメータは決定的な出力を保証しません。 ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `image` | IMAGE | 入力プロンプトに基づいて Reve モデルによって生成された画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 入力プロンプトに基づいて Reve モデルによって生成された画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageCreateNode/ja.md) --- **Source fingerprint (SHA-256):** `56cb32ad254d39609d9795ca29f1ccba1db2c5a7ac5bb530475298306ec4ea19` diff --git a/ja/built-in-nodes/ReveImageEditNode.mdx b/ja/built-in-nodes/ReveImageEditNode.mdx index 6289d65dd..dc11920c8 100644 --- a/ja/built-in-nodes/ReveImageEditNode.mdx +++ b/ja/built-in-nodes/ReveImageEditNode.mdx @@ -5,33 +5,33 @@ sidebarTitle: "ReveImageEditNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageEditNode/ja.md) - 以下が翻訳結果です。 Reve Image Edit ノードを使用すると、テキストによる説明に基づいて既存の画像を変更できます。このノードは Reve API を利用して指示を解釈し、提供された画像に対して要求された変更を適用します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `画像` | IMAGE | はい | - | 編集する画像。 | -| `編集指示` | STRING | はい | - | 画像の編集方法を記述したテキスト。最大2560文字。 | -| `モデル` | MODEL | はい | `"reve-edit@20250915"`
`"reve-edit-fast@20251030"` | 編集に使用するモデルバージョン。 | -| `model.aspect_ratio` | COMBO | いいえ | `"auto"`
`"16:9"`
`"9:16"`
`"3:2"`
`"2:3"`
`"4:3"`
`"3:4"`
`"1:1"` | 編集後の画像のアスペクト比。"auto" に設定すると自動的に決定されます。 | -| `model.test_time_scaling` | FLOAT | いいえ | - | モデルのテスト時スケーリング係数。値が大きいと品質が向上する可能性がありますが、処理時間が増加します。 | -| `アップスケール` | COMBO | いいえ | `"disabled"`
`"enabled"` | 生成された画像をアップスケールするかどうかを制御します。 | -| `upscale.upscale_factor` | FLOAT | いいえ | - | アップスケールが有効な場合に画像を拡大する倍率。 | -| `背景を削除` | BOOLEAN | いいえ | - | 生成された画像から背景を削除するかどうかを制御します。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。結果はシードに関わらず非決定的です。（デフォルト: 0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 編集する画像。 | IMAGE | はい | - | +| `編集指示` | 画像の編集方法を記述したテキスト。最大2560文字。 | STRING | はい | - | +| `モデル` | 編集に使用するモデルバージョン。 | MODEL | はい | `"reve-edit@20250915"`
`"reve-edit-fast@20251030"` | +| `model.aspect_ratio` | 編集後の画像のアスペクト比。"auto" に設定すると自動的に決定されます。 | COMBO | いいえ | `"auto"`
`"16:9"`
`"9:16"`
`"3:2"`
`"2:3"`
`"4:3"`
`"3:4"`
`"1:1"` | +| `model.test_time_scaling` | モデルのテスト時スケーリング係数。値が大きいと品質が向上する可能性がありますが、処理時間が増加します。 | FLOAT | いいえ | - | +| `アップスケール` | 生成された画像をアップスケールするかどうかを制御します。 | COMBO | いいえ | `"disabled"`
`"enabled"` | +| `upscale.upscale_factor` | アップスケールが有効な場合に画像を拡大する倍率。 | FLOAT | いいえ | - | +| `背景を削除` | 生成された画像から背景を削除するかどうかを制御します。 | BOOLEAN | いいえ | - | +| `シード` | シードはノードを再実行するかどうかを制御します。結果はシードに関わらず非決定的です。（デフォルト: 0） | INT | いいえ | 0 ～ 2147483647 | **注記:** `upscale.upscale_factor` パラメータは、`upscale` パラメータが `"enabled"` に設定されている場合にのみ有効です。 ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `画像` | IMAGE | 指示に基づいて生成された編集後の画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 指示に基づいて生成された編集後の画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageEditNode/ja.md) --- **Source fingerprint (SHA-256):** `0a9504ae5e8b7216d309fe3ba95c014da32eadbf11cfc5701247ba5973dd98be` diff --git a/ja/built-in-nodes/ReveImageRemixNode.mdx b/ja/built-in-nodes/ReveImageRemixNode.mdx index de16274b9..31c981d87 100644 --- a/ja/built-in-nodes/ReveImageRemixNode.mdx +++ b/ja/built-in-nodes/ReveImageRemixNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "ReveImageRemixNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageRemixNode/ja.md) - 以下が日本語翻訳です。 Reve Image Remix ノードは、Reve API を使用して新しい画像を生成します。1つ以上の参照画像とテキストプロンプトを組み合わせ、指定された説明に基づいて新しいリミックス画像を作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `参照画像` | IMAGE | はい | 1～6枚の画像 | リミックスのベースとして使用する1つ以上の参照画像。1～6枚の画像を追加できます。 | -| `プロンプト` | STRING | はい | 1～2560文字 | 希望する画像のテキストによる説明。XMLの``タグを使用して、特定の画像をインデックスで参照できます（例：`0`、`1`）。（デフォルト：空） | -| `モデル` | COMBO | はい | `reve-remix@20250915`
`reve-remix-fast@20251030` | リミックスに使用するモデルバージョン。各モデルオプションには、設定可能なアスペクト比とテスト時スケーリングが含まれます。 | -| `アップスケール` | COMBO | いいえ | `"disabled"`
`"enabled"` | 生成された画像をアップスケールするかどうかを制御します。有効にすると、アップスケール倍率を選択できます。 | -| `背景を削除` | BOOLEAN | いいえ | `true`
`false` | 有効にすると、生成された画像から背景の除去を試みます。 | -| `シード` | INT | いいえ | 0～2147483647 | シード値。この値を変更するとノードが再実行されますが、シードに関わらず結果は非決定的です。（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `参照画像` | リミックスのベースとして使用する1つ以上の参照画像。1～6枚の画像を追加できます。 | IMAGE | はい | 1～6枚の画像 | +| `プロンプト` | 希望する画像のテキストによる説明。XMLの``タグを使用して、特定の画像をインデックスで参照できます（例：`0`、`1`）。（デフォルト：空） | STRING | はい | 1～2560文字 | +| `モデル` | リミックスに使用するモデルバージョン。各モデルオプションには、設定可能なアスペクト比とテスト時スケーリングが含まれます。 | COMBO | はい | `reve-remix@20250915`
`reve-remix-fast@20251030` | +| `アップスケール` | 生成された画像をアップスケールするかどうかを制御します。有効にすると、アップスケール倍率を選択できます。 | COMBO | いいえ | `"disabled"`
`"enabled"` | +| `背景を削除` | 有効にすると、生成された画像から背景の除去を試みます。 | BOOLEAN | いいえ | `true`
`false` | +| `シード` | シード値。この値を変更するとノードが再実行されますが、シードに関わらず結果は非決定的です。（デフォルト：0） | INT | いいえ | 0～2147483647 | **注記：** `model` パラメータは動的なコンボであり、`aspect_ratio`（オプション："auto"、"16:9"、"9:16"、"3:2"、"2:3"、"4:3"、"3:4"、"1:1"）および `test_time_scaling` のネストされた設定を含みます。`upscale` パラメータが "enabled" に設定されている場合、ネストされた `upscale_factor` 設定が表示されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | Reve リミックス処理によって生成された新しい画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | Reve リミックス処理によって生成された新しい画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageRemixNode/ja.md) --- **Source fingerprint (SHA-256):** `e64dccddfd55ebaa7e28bf17c2a5ff1a0c130db1475e307940b75106c788f687` diff --git a/ja/built-in-nodes/Rodin3D_Detail.mdx b/ja/built-in-nodes/Rodin3D_Detail.mdx index 17a086b76..a2fb66cd9 100644 --- a/ja/built-in-nodes/Rodin3D_Detail.mdx +++ b/ja/built-in-nodes/Rodin3D_Detail.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Rodin3D_Detail" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Detail/ja.md) - 以下が翻訳結果です。 --- @@ -15,19 +13,21 @@ Rodin 3D Detail ノードは、Rodin API を使用して詳細な 3D アセッ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 3D モデル生成に使用する入力画像。複数の画像を指定できます。 | -| `シード` | INT | はい | - | 再現可能な結果を得るためのランダムシード値 | -| `マテリアルタイプ` | STRING | はい | - | 3D モデルに適用するマテリアルの種類 | -| `ポリゴン数` | STRING | はい | - | 生成される 3D モデルの目標ポリゴン数。メッシュの品質レベルを決定します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 3D モデル生成に使用する入力画像。複数の画像を指定できます。 | IMAGE | はい | - | +| `シード` | 再現可能な結果を得るためのランダムシード値 | INT | はい | - | +| `マテリアルタイプ` | 3D モデルに適用するマテリアルの種類 | STRING | はい | - | +| `ポリゴン数` | 生成される 3D モデルの目標ポリゴン数。メッシュの品質レベルを決定します。 | STRING | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `GLB` | STRING | 生成された 3D モデルのファイルパス（後方互換性のため） | -| `GLB` | FILE3DGLB | GLB 形式で出力された 3D モデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `GLB` | 生成された 3D モデルのファイルパス（後方互換性のため） | STRING | +| `GLB` | GLB 形式で出力された 3D モデル | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Detail/ja.md) --- **Source fingerprint (SHA-256):** `ed9ed2c8a55ca80d18da88ee2703c66057a09beeac7163fc270d81a492417b0a` diff --git a/ja/built-in-nodes/Rodin3D_Gen2.mdx b/ja/built-in-nodes/Rodin3D_Gen2.mdx index cecf2e002..ee38f5dff 100644 --- a/ja/built-in-nodes/Rodin3D_Gen2.mdx +++ b/ja/built-in-nodes/Rodin3D_Gen2.mdx @@ -5,28 +5,28 @@ sidebarTitle: "Rodin3D_Gen2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen2/ja.md) - 以下が翻訳結果です。 Rodin3D_Gen2 ノードは、Rodin API を使用して 3D アセットを生成します。入力画像を受け取り、さまざまなマテリアルタイプとポリゴン数で 3D モデルに変換します。このノードは、タスク作成、ステータスのポーリング、ファイルのダウンロードを含む生成プロセス全体を自動的に処理します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 3D モデル生成に使用する入力画像 | -| `シード` | INT | いいえ | 0-65535 | 生成のためのランダムシード値（デフォルト: 0） | -| `マテリアルタイプ` | COMBO | いいえ | "PBR"
"Shaded" | 3D モデルに適用するマテリアルの種類（デフォルト: "PBR"） | -| `ポリゴン数` | COMBO | いいえ | "4K-Quad"
"8K-Quad"
"18K-Quad"
"50K-Quad"
"2K-Triangle"
"20K-Triangle"
"150K-Triangle"
"500K-Triangle" | 生成される 3D モデルの目標ポリゴン数（デフォルト: "500K-Triangle"） | -| `TAPose` | BOOLEAN | いいえ | - | TAPose 処理を適用するかどうか（デフォルト: False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 3D モデル生成に使用する入力画像 | IMAGE | はい | - | +| `シード` | 生成のためのランダムシード値（デフォルト: 0） | INT | いいえ | 0-65535 | +| `マテリアルタイプ` | 3D モデルに適用するマテリアルの種類（デフォルト: "PBR"） | COMBO | いいえ | "PBR"
"Shaded" | +| `ポリゴン数` | 生成される 3D モデルの目標ポリゴン数（デフォルト: "500K-Triangle"） | COMBO | いいえ | "4K-Quad"
"8K-Quad"
"18K-Quad"
"50K-Quad"
"2K-Triangle"
"20K-Triangle"
"150K-Triangle"
"500K-Triangle" | +| `TAPose` | TAPose 処理を適用するかどうか（デフォルト: False） | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `GLB` | STRING | 生成された 3D モデルへのファイルパス（後方互換性のため） | -| `GLB` | FILE3DGLB | GLB 形式で生成された 3D モデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `GLB` | 生成された 3D モデルへのファイルパス（後方互換性のため） | STRING | +| `GLB` | GLB 形式で生成された 3D モデル | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen2/ja.md) --- **Source fingerprint (SHA-256):** `940712a9a40f4cb07050f3ed7ac502469b30bd364f86bb42b9dd8bf63eb912a2` diff --git a/ja/built-in-nodes/Rodin3D_Gen25_Image.mdx b/ja/built-in-nodes/Rodin3D_Gen25_Image.mdx index 487aaba65..bd446065d 100644 --- a/ja/built-in-nodes/Rodin3D_Gen25_Image.mdx +++ b/ja/built-in-nodes/Rodin3D_Gen25_Image.mdx @@ -5,39 +5,39 @@ sidebarTitle: "Rodin3D_Gen25_Image" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ja.md) - ## 概要 このノードは、Rodin Gen-2.5 APIを使用して、1～5枚の参照画像から3Dモデルを生成します。生成速度とコストのバランスを調整するために、Fast、Regular、Extreme-Highの品質モードから選択できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | 1～5枚の画像 | 1～5枚の入力画像です。複数の画像を提供する場合、最初の画像がマテリアルに使用されます。 | -| `mode` | COMBO | はい | `"Fast"`
`"Regular"`
`"Extreme-High"` | 生成品質モードです。高品質モードほど良い結果が得られますが、コストが高くなります。 | -| `material` | COMBO | はい | `"PBR"`
`"Matte"` | 生成される3Dモデルのマテリアルタイプです。 | -| `geometry_file_format` | COMBO | はい | `"glb"`
`"obj"`
`"stl"`
`"usdz"` | 3Dモデルジオメトリの出力ファイル形式です。 | -| `texture_mode` | COMBO | はい | `"Original"`
`"Clean"`
`"Style"` | テクスチャ生成モードです。"Original"は入力テクスチャを保持し、"Clean"は削除し、"Style"はスタイライズされたテクスチャを適用します。 | -| `seed` | INT | はい | 0～2147483647 | 再現可能な結果を得るためのランダムシードです。同じシードを使用すると、同じ出力が得られます。 | -| `TAPose` | BOOLEAN | はい | True / False | 生成されたモデルにTポーズを適用するかどうかです。 | -| `hd_texture` | BOOLEAN | はい | True / False | 高解像度テクスチャマップを生成するかどうかです。 | -| `texture_delight` | BOOLEAN | はい | True / False | テクスチャ生成前に入力画像から照明を除去するかどうかです。 | -| `use_original_alpha` | BOOLEAN | はい | True / False | 入力画像の元のアルファチャンネルを使用するかどうかです。 | -| `addon_highpack` | BOOLEAN | はい | True / False | 標準モデルに加えて、高ポリゴンバージョンのモデルを生成するかどうかです。 | -| `bbox_width` | INT | はい | 1～1000 | 生成されるモデルのバウンディングボックスの幅（センチメートル）です。 | -| `bbox_height` | INT | はい | 1～1000 | 生成されるモデルのバウンディングボックスの高さ（センチメートル）です。 | -| `bbox_length` | INT | はい | 1～1000 | 生成されるモデルのバウンディングボックスの奥行き（センチメートル）です。 | -| `height_cm` | INT | はい | 1～300 | 生成されるモデルの高さ（センチメートル）です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `images` | 1～5枚の入力画像です。複数の画像を提供する場合、最初の画像がマテリアルに使用されます。 | IMAGE | はい | 1～5枚の画像 | +| `mode` | 生成品質モードです。高品質モードほど良い結果が得られますが、コストが高くなります。 | COMBO | はい | `"Fast"`
`"Regular"`
`"Extreme-High"` | +| `material` | 生成される3Dモデルのマテリアルタイプです。 | COMBO | はい | `"PBR"`
`"Matte"` | +| `geometry_file_format` | 3Dモデルジオメトリの出力ファイル形式です。 | COMBO | はい | `"glb"`
`"obj"`
`"stl"`
`"usdz"` | +| `texture_mode` | テクスチャ生成モードです。"Original"は入力テクスチャを保持し、"Clean"は削除し、"Style"はスタイライズされたテクスチャを適用します。 | COMBO | はい | `"Original"`
`"Clean"`
`"Style"` | +| `seed` | 再現可能な結果を得るためのランダムシードです。同じシードを使用すると、同じ出力が得られます。 | INT | はい | 0～2147483647 | +| `TAPose` | 生成されたモデルにTポーズを適用するかどうかです。 | BOOLEAN | はい | True / False | +| `hd_texture` | 高解像度テクスチャマップを生成するかどうかです。 | BOOLEAN | はい | True / False | +| `texture_delight` | テクスチャ生成前に入力画像から照明を除去するかどうかです。 | BOOLEAN | はい | True / False | +| `use_original_alpha` | 入力画像の元のアルファチャンネルを使用するかどうかです。 | BOOLEAN | はい | True / False | +| `addon_highpack` | 標準モデルに加えて、高ポリゴンバージョンのモデルを生成するかどうかです。 | BOOLEAN | はい | True / False | +| `bbox_width` | 生成されるモデルのバウンディングボックスの幅（センチメートル）です。 | INT | はい | 1～1000 | +| `bbox_height` | 生成されるモデルのバウンディングボックスの高さ（センチメートル）です。 | INT | はい | 1～1000 | +| `bbox_length` | 生成されるモデルのバウンディングボックスの奥行き（センチメートル）です。 | INT | はい | 1～1000 | +| `height_cm` | 生成されるモデルの高さ（センチメートル）です。 | INT | はい | 1～300 | **画像枚数に関する注意:** このノードは1～5枚の画像を受け付けます。画像のバッチ（例：4枚の画像バッチ）を提供する場合、バッチ内の各画像は個別の入力画像として扱われます。5枚を超える画像を提供するとエラーが発生します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model_file` | FILE3D | 選択されたジオメトリ形式で生成された3Dモデルファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model_file` | 選択されたジオメトリ形式で生成された3Dモデルファイルです。 | FILE3D | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ja.md) --- **Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878` diff --git a/ja/built-in-nodes/Rodin3D_Gen25_Text.mdx b/ja/built-in-nodes/Rodin3D_Gen25_Text.mdx index 7a3458e92..73780a117 100644 --- a/ja/built-in-nodes/Rodin3D_Gen25_Text.mdx +++ b/ja/built-in-nodes/Rodin3D_Gen25_Text.mdx @@ -5,38 +5,38 @@ sidebarTitle: "Rodin3D_Gen25_Text" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ja.md) - ## 概要 Rodin Gen-2.5 APIを使用して、テキストプロンプトから3Dモデルを生成します。生成速度と出力品質のバランスを調整するために、異なる品質モード（Fast、Regular、Extreme-High）から選択できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | 最大2500文字 | 生成したい3Dモデルを説明するテキストプロンプト。 | -| `モード` | COMBO | はい | `"Fast"`
`"Regular"`
`"Extreme-High"` | 生成品質と速度のモード。"Fast"が最も速く、"Extreme-High"は最高品質ですが時間がかかります。 | -| `マテリアル` | COMBO | はい | `"PBR"`
`"Matte"`
`"Shiny"` | 生成される3Dモデルのマテリアルスタイル。 | -| `ジオメトリファイル形式` | COMBO | はい | `"glb"`
`"obj"`
`"stl"`
`"usdz"` | 出力3Dモデルのファイル形式。 | -| `テクスチャモード` | COMBO | はい | `"None"`
`"Generated"`
`"Generated+HD"` | テクスチャ生成モード。"None"はテクスチャなし、"Generated"は標準テクスチャ、"Generated+HD"は高精細テクスチャを生成します。 | -| `シード` | INT | はい | 0 ～ 2147483647 | 再現可能な結果を得るためのランダムシード。同じシードと入力で同じ出力が得られます。 | -| `T/Aポーズ` | BOOLEAN | はい | True / False | 生成モデルにTポーズ（腕を伸ばした姿勢）を適用するかどうか。 | -| `高精細テクスチャ` | BOOLEAN | はい | True / False | モデルに高精細テクスチャを生成するかどうか。 | -| `テクスチャデライト` | BOOLEAN | はい | True / False | モデルにテクスチャデライト（テクスチャ品質の向上）を適用するかどうか。 | -| `HighPackアドオン` | BOOLEAN | はい | True / False | 標準モデルに加えて高ポリゴンバージョンのモデルを生成するかどうか。 | -| `バウンディングボックス幅` | INT | はい | 1 ～ 1000 | ワールド単位でのバウンディングボックスの幅。 | -| `バウンディングボックス高さ` | INT | はい | 1 ～ 1000 | ワールド単位でのバウンディングボックスの高さ。 | -| `バウンディングボックス長さ` | INT | はい | 1 ～ 1000 | ワールド単位でのバウンディングボックスの奥行き。 | -| `高さ（cm）` | INT | はい | 1 ～ 300 | 生成されるモデルの高さ（センチメートル）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 生成したい3Dモデルを説明するテキストプロンプト。 | STRING | はい | 最大2500文字 | +| `モード` | 生成品質と速度のモード。"Fast"が最も速く、"Extreme-High"は最高品質ですが時間がかかります。 | COMBO | はい | `"Fast"`
`"Regular"`
`"Extreme-High"` | +| `マテリアル` | 生成される3Dモデルのマテリアルスタイル。 | COMBO | はい | `"PBR"`
`"Matte"`
`"Shiny"` | +| `ジオメトリファイル形式` | 出力3Dモデルのファイル形式。 | COMBO | はい | `"glb"`
`"obj"`
`"stl"`
`"usdz"` | +| `テクスチャモード` | テクスチャ生成モード。"None"はテクスチャなし、"Generated"は標準テクスチャ、"Generated+HD"は高精細テクスチャを生成します。 | COMBO | はい | `"None"`
`"Generated"`
`"Generated+HD"` | +| `シード` | 再現可能な結果を得るためのランダムシード。同じシードと入力で同じ出力が得られます。 | INT | はい | 0 ～ 2147483647 | +| `T/Aポーズ` | 生成モデルにTポーズ（腕を伸ばした姿勢）を適用するかどうか。 | BOOLEAN | はい | True / False | +| `高精細テクスチャ` | モデルに高精細テクスチャを生成するかどうか。 | BOOLEAN | はい | True / False | +| `テクスチャデライト` | モデルにテクスチャデライト（テクスチャ品質の向上）を適用するかどうか。 | BOOLEAN | はい | True / False | +| `HighPackアドオン` | 標準モデルに加えて高ポリゴンバージョンのモデルを生成するかどうか。 | BOOLEAN | はい | True / False | +| `バウンディングボックス幅` | ワールド単位でのバウンディングボックスの幅。 | INT | はい | 1 ～ 1000 | +| `バウンディングボックス高さ` | ワールド単位でのバウンディングボックスの高さ。 | INT | はい | 1 ～ 1000 | +| `バウンディングボックス長さ` | ワールド単位でのバウンディングボックスの奥行き。 | INT | はい | 1 ～ 1000 | +| `高さ（cm）` | 生成されるモデルの高さ（センチメートル）。 | INT | はい | 1 ～ 300 | **注記:** `prompt`パラメータは1文字以上2500文字以下である必要があります。`seed`パラメータは指定がない場合、デフォルトで0（ランダム）になります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model_file` | FILE3DANY | 指定された形式で生成された3Dモデルファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model_file` | 指定された形式で生成された3Dモデルファイル。 | FILE3DANY | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ja.md) --- **Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db` diff --git a/ja/built-in-nodes/Rodin3D_Regular.mdx b/ja/built-in-nodes/Rodin3D_Regular.mdx index d646c35f1..34c0bbcb2 100644 --- a/ja/built-in-nodes/Rodin3D_Regular.mdx +++ b/ja/built-in-nodes/Rodin3D_Regular.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Rodin3D_Regular" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Regular/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,19 +13,21 @@ Rodin 3D Regular ノードは、Rodin API を使用して 3D アセットを生 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 3D モデル生成に使用する入力画像です。複数の画像を指定できます。 | -| `シード` | INT | はい | - | 再現可能な結果を得るためのランダムシード値です。 | -| `マテリアルタイプ` | STRING | はい | - | 3D モデルに適用するマテリアルの種類です。 | -| `ポリゴン数` | STRING | はい | - | 生成される 3D モデルの目標ポリゴン数です。このパラメータは品質モードとメッシュの複雑さを決定します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 3D モデル生成に使用する入力画像です。複数の画像を指定できます。 | IMAGE | はい | - | +| `シード` | 再現可能な結果を得るためのランダムシード値です。 | INT | はい | - | +| `マテリアルタイプ` | 3D モデルに適用するマテリアルの種類です。 | STRING | はい | - | +| `ポリゴン数` | 生成される 3D モデルの目標ポリゴン数です。このパラメータは品質モードとメッシュの複雑さを決定します。 | STRING | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `GLB` | STRING | 生成された 3D モデルへのファイルパスです（後方互換性のために維持されています）。 | -| `GLB` | FILE3DGLB | GLB 形式で生成された 3D モデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `GLB` | 生成された 3D モデルへのファイルパスです（後方互換性のために維持されています）。 | STRING | +| `GLB` | GLB 形式で生成された 3D モデルです。 | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Regular/ja.md) --- **Source fingerprint (SHA-256):** `f937be3aa579baf4407434839e741141d6bd63c09b7e0bdc49a9e92a10d7a130` diff --git a/ja/built-in-nodes/Rodin3D_Sketch.mdx b/ja/built-in-nodes/Rodin3D_Sketch.mdx index a0a4ff5da..8c80bbb26 100644 --- a/ja/built-in-nodes/Rodin3D_Sketch.mdx +++ b/ja/built-in-nodes/Rodin3D_Sketch.mdx @@ -5,23 +5,23 @@ sidebarTitle: "Rodin3D_Sketch" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Sketch/ja.md) - このノードは、Rodin APIを使用して3Dアセットを生成します。入力画像を受け取り、外部サービスを通じて3Dモデルに変換します。このノードは、タスクの作成から最終的な3Dモデルファイルのダウンロードまでのプロセス全体を処理します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 3Dモデルに変換する入力画像です。複数の画像を指定できます。 | -| `シード` | INT | いいえ | 0-65535 | 生成用のランダムシード値です（デフォルト：0）。0に設定するとランダムシードになります。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 3Dモデルに変換する入力画像です。複数の画像を指定できます。 | IMAGE | はい | - | +| `シード` | 生成用のランダムシード値です（デフォルト：0）。0に設定するとランダムシードになります。 | INT | いいえ | 0-65535 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `GLB` | STRING | 生成された3Dモデルのファイルパス（下位互換性のため） | -| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `GLB` | 生成された3Dモデルのファイルパス（下位互換性のため） | STRING | +| `GLB` | GLB形式で生成された3Dモデル | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Sketch/ja.md) --- **Source fingerprint (SHA-256):** `d3bc71e6a44c11cbeff25351d561e99a7f09ed8ce3544d2968a873b6796512da` diff --git a/ja/built-in-nodes/Rodin3D_Smooth.mdx b/ja/built-in-nodes/Rodin3D_Smooth.mdx index 3278baa30..0b06800d2 100644 --- a/ja/built-in-nodes/Rodin3D_Smooth.mdx +++ b/ja/built-in-nodes/Rodin3D_Smooth.mdx @@ -5,27 +5,27 @@ sidebarTitle: "Rodin3D_Smooth" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Smooth/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md) Rodin 3D Smoothノードは、Rodin APIを使用して入力画像を処理し、スムーズな3Dモデルに変換することで3Dアセットを生成します。複数の画像を入力として受け取り、ダウンロード可能な3Dモデルファイルを出力します。このノードは、タスク作成、ステータスのポーリング、ファイルのダウンロードを含む生成プロセス全体を自動的に処理します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 3Dモデル生成に使用する入力画像。複数の画像を指定できます。 | -| `シード` | INT | はい | - | 生成の再現性のためのランダムシード値。 | -| `マテリアルタイプ` | STRING | はい | - | 3Dモデルに適用するマテリアルの種類。 | -| `ポリゴン数` | STRING | はい | - | 生成される3Dモデルの目標ポリゴン数。メッシュの品質と詳細レベルを決定します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 3Dモデル生成に使用する入力画像。複数の画像を指定できます。 | IMAGE | はい | - | +| `シード` | 生成の再現性のためのランダムシード値。 | INT | はい | - | +| `マテリアルタイプ` | 3Dモデルに適用するマテリアルの種類。 | STRING | はい | - | +| `ポリゴン数` | 生成される3Dモデルの目標ポリゴン数。メッシュの品質と詳細レベルを決定します。 | STRING | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `GLB` | STRING | ダウンロードされた3Dモデルのファイルパス（後方互換性のため）。 | -| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `GLB` | ダウンロードされた3Dモデルのファイルパス（後方互換性のため）。 | STRING | +| `GLB` | GLB形式で生成された3Dモデル。 | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Smooth/ja.md) --- **Source fingerprint (SHA-256):** `18783d4a3010234a3640d20c73cdd78e35a0eef7090bd433dba0fcc58e35ad3f` diff --git a/ja/built-in-nodes/RunwayFirstLastFrameNode.mdx b/ja/built-in-nodes/RunwayFirstLastFrameNode.mdx index 9b7322ffb..aa810c8ee 100644 --- a/ja/built-in-nodes/RunwayFirstLastFrameNode.mdx +++ b/ja/built-in-nodes/RunwayFirstLastFrameNode.mdx @@ -5,22 +5,20 @@ sidebarTitle: "RunwayFirstLastFrameNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/ja.md) - ## 概要 Runway First-Last-Frame to Video ノードは、最初と最後のキーフレームとテキストプロンプトをアップロードすることで動画を生成します。Runway の Gen-3 モデルを使用して、指定された開始フレームと終了フレームの間のスムーズな遷移を作成します。これは、終了フレームが開始フレームと大きく異なる複雑なトランジションに特に有用です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | N/A | 生成のためのテキストプロンプト（デフォルト：空文字列） | -| `開始フレーム` | IMAGE | はい | N/A | 動画に使用する開始フレーム | -| `終了フレーム` | IMAGE | はい | N/A | 動画に使用する終了フレーム。gen3a_turbo モデルでのみサポートされています。 | -| `期間` | COMBO | はい | `"5"`
`"10"` | 動画の長さ（秒）（デフォルト："5"） | -| `比率` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | 生成される動画のアスペクト比（デフォルト："16:9"） | -| `シード` | INT | いいえ | 0 ～ 4294967295 | 生成のためのランダムシード。ランダムシードにするには 0 を設定します（デフォルト：0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 生成のためのテキストプロンプト（デフォルト：空文字列） | STRING | はい | N/A | +| `開始フレーム` | 動画に使用する開始フレーム | IMAGE | はい | N/A | +| `終了フレーム` | 動画に使用する終了フレーム。gen3a_turbo モデルでのみサポートされています。 | IMAGE | はい | N/A | +| `期間` | 動画の長さ（秒）（デフォルト："5"） | COMBO | はい | `"5"`
`"10"` | +| `比率` | 生成される動画のアスペクト比（デフォルト："16:9"） | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"` | +| `シード` | 生成のためのランダムシード。ランダムシードにするには 0 を設定します（デフォルト：0）。 | INT | いいえ | 0 ～ 4294967295 | **パラメータ制約：** @@ -31,9 +29,11 @@ Runway First-Last-Frame to Video ノードは、最初と最後のキーフレ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 開始フレームと終了フレームの間を遷移する生成された動画 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 開始フレームと終了フレームの間を遷移する生成された動画 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/ja.md) --- **Source fingerprint (SHA-256):** `57b72c1143b7053272107403279e1f84919cbfe71c57ca4f4e21b4324f7a5346` diff --git a/ja/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx b/ja/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx index 203bec4ca..a49115cc7 100644 --- a/ja/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx +++ b/ja/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx @@ -5,8 +5,6 @@ sidebarTitle: "RunwayImageToVideoNodeGen3a" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/ja.md) - 以下、ご依頼内容に従い、ComfyUI ノードドキュメントを日本語に翻訳しました。 --- @@ -15,13 +13,13 @@ Runway Image to Video (Gen3a Turbo) ノードは、Runway の Gen3a Turbo モデ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|-------------| -| `プロンプト` | STRING | はい | N/A | 生成のためのテキストプロンプト（デフォルト: ""） | -| `開始フレーム` | IMAGE | はい | N/A | 動画に使用する開始フレーム | -| `期間` | COMBO | はい | `"5"`
`"10"` | 動画の長さ（秒）（デフォルト: "5"） | -| `比率` | COMBO | はい | `"1280x720"`
`"720x1280"`
`"1920x1080"`
`"1080x1920"`
`"1080x1080"` | 生成される動画のアスペクト比（デフォルト: "1280x720"） | -| `シード` | INT | いいえ | 0 ～ 4294967295 | 生成のためのランダムシード（デフォルト: 0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 生成のためのテキストプロンプト（デフォルト: ""） | STRING | はい | N/A | +| `開始フレーム` | 動画に使用する開始フレーム | IMAGE | はい | N/A | +| `期間` | 動画の長さ（秒）（デフォルト: "5"） | COMBO | はい | `"5"`
`"10"` | +| `比率` | 生成される動画のアスペクト比（デフォルト: "1280x720"） | COMBO | はい | `"1280x720"`
`"720x1280"`
`"1920x1080"`
`"1080x1920"`
`"1080x1080"` | +| `シード` | 生成のためのランダムシード（デフォルト: 0） | INT | いいえ | 0 ～ 4294967295 | **パラメータの制約:** @@ -31,9 +29,11 @@ Runway Image to Video (Gen3a Turbo) ノードは、Runway の Gen3a Turbo モデ ## 出力 -| 出力名 | データ型 | 説明 | -|-----------|-----------|-------------| -| `output` | VIDEO | 生成された動画シーケンス | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画シーケンス | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/ja.md) --- **Source fingerprint (SHA-256):** `4f3270ce070ce50580699292e21c5f9e3b1a56dd8ac981f67a9026ef6fc8ed76` diff --git a/ja/built-in-nodes/RunwayImageToVideoNodeGen4.mdx b/ja/built-in-nodes/RunwayImageToVideoNodeGen4.mdx index 829ad14c4..a9ce1cc7b 100644 --- a/ja/built-in-nodes/RunwayImageToVideoNodeGen4.mdx +++ b/ja/built-in-nodes/RunwayImageToVideoNodeGen4.mdx @@ -5,21 +5,19 @@ sidebarTitle: "RunwayImageToVideoNodeGen4" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/ja.md) - 以下が、指定されたルールに従った日本語翻訳です。 Runway Image to Video (Gen4 Turbo) ノードは、Runway の Gen4 Turbo モデルを使用して、単一の開始フレームから動画を生成します。テキストプロンプトと初期画像フレームを受け取り、指定された長さとアスペクト比の設定に基づいて動画シーケンスを作成します。このノードは、開始フレームを Runway の API にアップロードし、生成された動画を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | 生成のためのテキストプロンプト（デフォルト: 空文字列） | -| `start_frame` | IMAGE | はい | - | 動画に使用する開始フレーム | -| `duration` | COMBO | はい | `"5"`
`"10"` | 動画の長さ（秒単位）（デフォルト: "5"） | -| `ratio` | COMBO | はい | `"1024:1024"`
`"1280:720"`
`"720:1280"`
`"1920:1080"`
`"1080:1920"`
`"2048:1080"`
`"1080:2048"` | 生成される動画のアスペクト比（デフォルト: "1024:1024"） | -| `seed` | INT | いいえ | 0 ～ 4294967295 | 生成のためのランダムシード（デフォルト: 0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 生成のためのテキストプロンプト（デフォルト: 空文字列） | STRING | はい | - | +| `start_frame` | 動画に使用する開始フレーム | IMAGE | はい | - | +| `duration` | 動画の長さ（秒単位）（デフォルト: "5"） | COMBO | はい | `"5"`
`"10"` | +| `ratio` | 生成される動画のアスペクト比（デフォルト: "1024:1024"） | COMBO | はい | `"1024:1024"`
`"1280:720"`
`"720:1280"`
`"1920:1080"`
`"1080:1920"`
`"2048:1080"`
`"1080:2048"` | +| `seed` | 生成のためのランダムシード（デフォルト: 0） | INT | いいえ | 0 ～ 4294967295 | **パラメータの制約事項:** @@ -29,9 +27,11 @@ Runway Image to Video (Gen4 Turbo) ノードは、Runway の Gen4 Turbo モデ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 入力フレームとプロンプトに基づいて生成された動画 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力フレームとプロンプトに基づいて生成された動画 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/ja.md) --- **Source fingerprint (SHA-256):** `ebb5f1cd5e6bf6e0fcfb4910c774c087980daf9a1987900ad966120608b924e7` diff --git a/ja/built-in-nodes/RunwayTextToImageNode.mdx b/ja/built-in-nodes/RunwayTextToImageNode.mdx index 728f00954..32b3d8ae5 100644 --- a/ja/built-in-nodes/RunwayTextToImageNode.mdx +++ b/ja/built-in-nodes/RunwayTextToImageNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "RunwayTextToImageNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayTextToImageNode/ja.md) - 以下が翻訳結果です。 Runway Text to Image ノードは、Runway の Gen 4 モデルを使用して、テキストプロンプトから画像を生成します。テキストによる説明を提供し、必要に応じて参照画像を含めることで、画像生成プロセスをガイドできます。このノードは API 通信を処理し、生成された画像を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 生成のためのテキストプロンプト（デフォルト: ""） | -| `ratio` | COMBO | はい | "16:9"
"1:1"
"21:9"
"2:3"
"3:2"
"4:5"
"5:4"
"9:16"
"9:21" | 生成画像のアスペクト比 | -| `reference_image` | IMAGE | いいえ | - | 生成をガイドするためのオプションの参照画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | 生成のためのテキストプロンプト（デフォルト: ""） | STRING | はい | - | +| `ratio` | 生成画像のアスペクト比 | COMBO | はい | "16:9"
"1:1"
"21:9"
"2:3"
"3:2"
"4:5"
"5:4"
"9:16"
"9:21" | +| `reference_image` | 生成をガイドするためのオプションの参照画像 | IMAGE | いいえ | - | **注記:** 参照画像の寸法は 7999x7999 ピクセルを超えてはならず、アスペクト比は 0.5 から 2.0 の間である必要があります。参照画像が提供されると、画像生成プロセスがガイドされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | テキストプロンプトとオプションの参照画像に基づいて生成された画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | テキストプロンプトとオプションの参照画像に基づいて生成された画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayTextToImageNode/ja.md) --- **Source fingerprint (SHA-256):** `140f8e6b07216892d84f2d7fbc3afaf1c390e98ddedf27d4926032066a783f67` diff --git a/ja/built-in-nodes/SAM3_Detect.mdx b/ja/built-in-nodes/SAM3_Detect.mdx index dca76534d..6f988d23f 100644 --- a/ja/built-in-nodes/SAM3_Detect.mdx +++ b/ja/built-in-nodes/SAM3_Detect.mdx @@ -5,8 +5,6 @@ sidebarTitle: "SAM3_Detect" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_Detect/ja.md) - # SAM3 Detect ノード ## 概要 @@ -15,17 +13,17 @@ SAM3 Detect ノードは、テキストによる説明、バウンディング ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 検出とセグメンテーションに使用するSAM3モデル | -| `image` | IMAGE | はい | - | 処理する入力画像 | -| `conditioning` | CONDITIONING | いいえ | - | CLIPTextEncodeからのテキスト条件付け。テキストプロンプトを使用した検出時に必要です | -| `bboxes` | BOUNDING_BOX | いいえ | - | セグメント化する領域のバウンディングボックス。単一のボックス（全フレームに適用）、ボックスのリスト（全フレームに適用）、またはリストのリスト（フレームごとのボックス）を指定できます。テキスト条件付けなしで指定した場合、各ボックス内をセグメント化します | -| `positive_coords` | STRING | いいえ | - | ピクセル座標を使用したJSON形式 `[{"x": int, "y": int}, ...]` の正のポイントプロンプト。セグメンテーションに含めたいポイントです | -| `negative_coords` | STRING | いいえ | - | ピクセル座標を使用したJSON形式 `[{"x": int, "y": int}, ...]` の負のポイントプロンプト。セグメンテーションから除外したいポイントです | -| `threshold` | FLOAT | いいえ | 0.0 ～ 1.0 | テキストベース検出の信頼度しきい値。この値を超えるスコアの検出のみが保持されます（デフォルト: 0.5） | -| `refine_iterations` | INT | いいえ | 0 ～ 5 | SAMデコーダーのリファインメントパスの回数。値を大きくするとマスク品質が向上する可能性があります。0を設定すると、リファインメントなしで生の検出マスクを使用します（デフォルト: 2） | -| `individual_masks` | BOOLEAN | いいえ | True/False | 有効にすると、検出された各オブジェクトの個別のマスクを出力し、単一のマスクに結合しません（デフォルト: False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 検出とセグメンテーションに使用するSAM3モデル | MODEL | はい | - | +| `image` | 処理する入力画像 | IMAGE | はい | - | +| `conditioning` | CLIPTextEncodeからのテキスト条件付け。テキストプロンプトを使用した検出時に必要です | CONDITIONING | いいえ | - | +| `bboxes` | セグメント化する領域のバウンディングボックス。単一のボックス（全フレームに適用）、ボックスのリスト（全フレームに適用）、またはリストのリスト（フレームごとのボックス）を指定できます。テキスト条件付けなしで指定した場合、各ボックス内をセグメント化します | BOUNDING_BOX | いいえ | - | +| `positive_coords` | ピクセル座標を使用したJSON形式 `[{"x": int, "y": int}, ...]` の正のポイントプロンプト。セグメンテーションに含めたいポイントです | STRING | いいえ | - | +| `negative_coords` | ピクセル座標を使用したJSON形式 `[{"x": int, "y": int}, ...]` の負のポイントプロンプト。セグメンテーションから除外したいポイントです | STRING | いいえ | - | +| `threshold` | テキストベース検出の信頼度しきい値。この値を超えるスコアの検出のみが保持されます（デフォルト: 0.5） | FLOAT | いいえ | 0.0 ～ 1.0 | +| `refine_iterations` | SAMデコーダーのリファインメントパスの回数。値を大きくするとマスク品質が向上する可能性があります。0を設定すると、リファインメントなしで生の検出マスクを使用します（デフォルト: 2） | INT | いいえ | 0 ～ 5 | +| `individual_masks` | 有効にすると、検出された各オブジェクトの個別のマスクを出力し、単一のマスクに結合しません（デフォルト: False） | BOOLEAN | いいえ | True/False | ### パラメータの制約と注意事項 @@ -38,10 +36,12 @@ SAM3 Detect ノードは、テキストによる説明、バウンディング ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `bboxes` | MASK | セグメンテーションマスク。`individual_masks` が False（デフォルト）の場合、フレームごとに単一の結合マスクを返します。True の場合、検出された各オブジェクトの個別のマスクを返します | -| `bboxes` | BOUNDING_BOX | 座標と信頼度スコアを含む検出されたバウンディングボックス。各ボックスには `x`、`y`、`width`、`height`、`score` の値が含まれます | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `bboxes` | セグメンテーションマスク。`individual_masks` が False（デフォルト）の場合、フレームごとに単一の結合マスクを返します。True の場合、検出された各オブジェクトの個別のマスクを返します | MASK | +| `bboxes` | 座標と信頼度スコアを含む検出されたバウンディングボックス。各ボックスには `x`、`y`、`width`、`height`、`score` の値が含まれます | BOUNDING_BOX | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_Detect/ja.md) --- **Source fingerprint (SHA-256):** `d073bda7eca934f3c64e1be740f5fb5249d27046a8be5902ea5d2245d5f679ea` diff --git a/ja/built-in-nodes/SAM3_TrackPreview.mdx b/ja/built-in-nodes/SAM3_TrackPreview.mdx index 0bc8fc2af..37bdc0fe0 100644 --- a/ja/built-in-nodes/SAM3_TrackPreview.mdx +++ b/ja/built-in-nodes/SAM3_TrackPreview.mdx @@ -5,8 +5,6 @@ sidebarTitle: "SAM3_TrackPreview" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackPreview/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackPreview/en.md) ## 概要 @@ -15,18 +13,20 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `track_data` | TRACK_DATA | はい | - | SAM3トラッキングノードからのパックされたマスクとオブジェクト情報を含むトラッキングデータです。 | -| `images` | IMAGE | いいえ | - | プレビューの背景として使用するオプションの入力画像です。指定しない場合は黒色の背景が使用されます。 | -| `opacity` | FLOAT | いいえ | 0.0～1.0（ステップ：0.05） | 追跡オブジェクトに適用されるカラーオーバーレイの不透明度です（デフォルト：0.5）。 | -| `fps` | FLOAT | いいえ | 1.0～120.0（ステップ：1.0） | 出力ビデオのフレームレートです（デフォルト：24.0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `track_data` | SAM3トラッキングノードからのパックされたマスクとオブジェクト情報を含むトラッキングデータです。 | TRACK_DATA | はい | - | +| `images` | プレビューの背景として使用するオプションの入力画像です。指定しない場合は黒色の背景が使用されます。 | IMAGE | いいえ | - | +| `opacity` | 追跡オブジェクトに適用されるカラーオーバーレイの不透明度です（デフォルト：0.5）。 | FLOAT | いいえ | 0.0～1.0（ステップ：0.05） | +| `fps` | 出力ビデオのフレームレートです（デフォルト：24.0）。 | FLOAT | いいえ | 1.0～120.0（ステップ：1.0） | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ui` | PREVIEW_VIDEO | 生成されたプレビュービデオを表示するUI要素です。テンソルデータは返されません。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ui` | 生成されたプレビュービデオを表示するUI要素です。テンソルデータは返されません。 | PREVIEW_VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackPreview/ja.md) --- **Source fingerprint (SHA-256):** `8300d4fa89c7bbc481ac9a59868ede0e3c9413faa63d56c16a4f603ef878e877` diff --git a/ja/built-in-nodes/SAM3_TrackToMask.mdx b/ja/built-in-nodes/SAM3_TrackToMask.mdx index 17153b7b0..9bf059ea9 100644 --- a/ja/built-in-nodes/SAM3_TrackToMask.mdx +++ b/ja/built-in-nodes/SAM3_TrackToMask.mdx @@ -5,8 +5,6 @@ sidebarTitle: "SAM3_TrackToMask" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackToMask/ja.md) - これはComfyUIノードドキュメントの技術翻訳です。以下が日本語訳になります。 ## 概要 @@ -15,16 +13,18 @@ SAM3トラッキングセッションから、インデックス番号によっ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `track_data` | SAM3TRACKDATA | はい | N/A | SAM3トラッカーノードから出力されるトラッキングデータで、パックされたマスクと元の画像サイズを含みます。 | -| `object_indices` | STRING | いいえ | カンマ区切りの任意の整数リスト | 出力マスクに含めるオブジェクトインデックスをカンマ区切りで指定します（例：'0,2,3'）。空のままにすると、すべての追跡オブジェクトが含まれます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `track_data` | SAM3トラッカーノードから出力されるトラッキングデータで、パックされたマスクと元の画像サイズを含みます。 | SAM3TRACKDATA | はい | N/A | +| `object_indices` | 出力マスクに含めるオブジェクトインデックスをカンマ区切りで指定します（例：'0,2,3'）。空のままにすると、すべての追跡オブジェクトが含まれます。 | STRING | いいえ | カンマ区切りの任意の整数リスト | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `masks` | MASK | フレームごとの単一のバイナリマスクで、選択されたオブジェクトが1つのマスクに結合されます。オブジェクトが選択されていない場合、またはトラッキングデータが存在しない場合は、ゼロマスクを返します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `masks` | フレームごとの単一のバイナリマスクで、選択されたオブジェクトが1つのマスクに結合されます。オブジェクトが選択されていない場合、またはトラッキングデータが存在しない場合は、ゼロマスクを返します。 | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackToMask/ja.md) --- **Source fingerprint (SHA-256):** `2da82effc4cdc6655d0d37e281858bf33f7b62d9056629ec810e3ff9b2e7b5a6` diff --git a/ja/built-in-nodes/SAM3_VideoTrack.mdx b/ja/built-in-nodes/SAM3_VideoTrack.mdx index 3061eddf9..60cafcb54 100644 --- a/ja/built-in-nodes/SAM3_VideoTrack.mdx +++ b/ja/built-in-nodes/SAM3_VideoTrack.mdx @@ -5,8 +5,6 @@ sidebarTitle: "SAM3_VideoTrack" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_VideoTrack/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,23 +13,25 @@ SAM3のメモリベーストラッカーを使用して、ビデオフレーム ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | バッチ処理されたビデオフレーム | バッチ画像としてのビデオフレーム | -| `model` | MODEL | はい | SAM3モデル | 追跡に使用するSAM3モデル | -| `initial_mask` | MASK | いいえ | オブジェクトごとに1つのマスク | 追跡する最初のフレームのマスク（オブジェクトごとに1つ）。`conditioning`が提供されない場合に必須です。 | -| `conditioning` | CONDITIONING | いいえ | テキスト条件付け | 追跡中に新しいオブジェクトを検出するためのテキスト条件付け。`initial_mask`が提供されない場合に必須です。 | -| `detection_threshold` | FLOAT | いいえ | 0.0～1.0（デフォルト: 0.5） | テキストプロンプトによる検出のスコアしきい値 | -| `max_objects` | INT | いいえ | 0～64（デフォルト: 0） | 最大追跡オブジェクト数。初期マスクはこの制限にカウントされます。0は内部上限の64を使用します。 | -| `detect_interval` | INT | いいえ | 1～無制限（デフォルト: 1） | Nフレームごとに検出を実行します（1=毎フレーム）。値を大きくすると計算負荷が軽減されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `images` | バッチ画像としてのビデオフレーム | IMAGE | はい | バッチ処理されたビデオフレーム | +| `model` | 追跡に使用するSAM3モデル | MODEL | はい | SAM3モデル | +| `initial_mask` | 追跡する最初のフレームのマスク（オブジェクトごとに1つ）。`conditioning`が提供されない場合に必須です。 | MASK | いいえ | オブジェクトごとに1つのマスク | +| `conditioning` | 追跡中に新しいオブジェクトを検出するためのテキスト条件付け。`initial_mask`が提供されない場合に必須です。 | CONDITIONING | いいえ | テキスト条件付け | +| `detection_threshold` | テキストプロンプトによる検出のスコアしきい値 | FLOAT | いいえ | 0.0～1.0（デフォルト: 0.5） | +| `max_objects` | 最大追跡オブジェクト数。初期マスクはこの制限にカウントされます。0は内部上限の64を使用します。 | INT | いいえ | 0～64（デフォルト: 0） | +| `detect_interval` | Nフレームごとに検出を実行します（1=毎フレーム）。値を大きくすると計算負荷が軽減されます。 | INT | いいえ | 1～無制限（デフォルト: 1） | **注:** `initial_mask`または`conditioning`のいずれかを指定する必要があります。両方を省略した場合、ノードはエラーを発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `track_data` | SAM3TrackData | すべてのビデオフレームにわたるオブジェクトマスクとメタデータを含む追跡データ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `track_data` | すべてのビデオフレームにわたるオブジェクトマスクとメタデータを含む追跡データ | SAM3TrackData | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_VideoTrack/ja.md) --- **Source fingerprint (SHA-256):** `30768bdf5839c1d7b984675e68a127a27f21b17724a2dc885e27f00c272db3cb` diff --git a/ja/built-in-nodes/SDPoseDrawKeypoints.mdx b/ja/built-in-nodes/SDPoseDrawKeypoints.mdx index b6a1a00c0..71fd919c8 100644 --- a/ja/built-in-nodes/SDPoseDrawKeypoints.mdx +++ b/ja/built-in-nodes/SDPoseDrawKeypoints.mdx @@ -5,30 +5,30 @@ sidebarTitle: "SDPoseDrawKeypoints" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseDrawKeypoints/ja.md) - SDPoseDrawKeypoints ノードは、姿勢推定データ（キーポイント）を受け取り、空白のキャンバス上に視覚的なスケルトンとして描画します。身体、手、顔、足など、姿勢の異なる部位を選択的に描画でき、線の太さや点のサイズもカスタマイズ可能です。生成された画像は可視化用途や、姿勢画像を必要とする他のノードへの入力として使用できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `キーポイント` | POSE_KEYPOINT | はい | - | 描画する姿勢キーポイントデータです。このデータは通常、姿勢検出ノードから取得されます。 | -| `ボディを描画` | BOOLEAN | いいえ | - | メインの身体スケルトンを描画するかどうかを制御します（デフォルト：True）。 | -| `手を描画` | BOOLEAN | いいえ | - | 手のキーポイントを描画するかどうかを制御します（デフォルト：True）。 | -| `顔を描画` | BOOLEAN | いいえ | - | 顔のキーポイントを描画するかどうかを制御します（デフォルト：True）。 | -| `足を描画` | BOOLEAN | いいえ | - | 足のキーポイントを描画するかどうかを制御します（デフォルト：False）。 | -| `スティック幅` | INT | いいえ | 1 ～ 10 | 身体スケルトンの描画に使用する線の太さです（デフォルト：4）。 | -| `顔ポイントサイズ` | INT | いいえ | 1 ～ 10 | 顔のキーポイントを描画する点のサイズです（デフォルト：3）。 | -| `スコア閾値` | FLOAT | いいえ | 0.0 ～ 1.0 | キーポイントを描画するために必要な最小信頼スコアです。この値を下回るスコアのキーポイントは無視されます（デフォルト：0.3）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `キーポイント` | 描画する姿勢キーポイントデータです。このデータは通常、姿勢検出ノードから取得されます。 | POSE_KEYPOINT | はい | - | +| `ボディを描画` | メインの身体スケルトンを描画するかどうかを制御します（デフォルト：True）。 | BOOLEAN | いいえ | - | +| `手を描画` | 手のキーポイントを描画するかどうかを制御します（デフォルト：True）。 | BOOLEAN | いいえ | - | +| `顔を描画` | 顔のキーポイントを描画するかどうかを制御します（デフォルト：True）。 | BOOLEAN | いいえ | - | +| `足を描画` | 足のキーポイントを描画するかどうかを制御します（デフォルト：False）。 | BOOLEAN | いいえ | - | +| `スティック幅` | 身体スケルトンの描画に使用する線の太さです（デフォルト：4）。 | INT | いいえ | 1 ～ 10 | +| `顔ポイントサイズ` | 顔のキーポイントを描画する点のサイズです（デフォルト：3）。 | INT | いいえ | 1 ～ 10 | +| `スコア閾値` | キーポイントを描画するために必要な最小信頼スコアです。この値を下回るスコアのキーポイントは無視されます（デフォルト：0.3）。 | FLOAT | いいえ | 0.0 ～ 1.0 | **注意：** `keypoints` 入力が空または `None` の場合、ノードは空白の64x64画像を出力します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | 描画された姿勢キーポイントを含む画像です。画像の寸法は、入力キーポイントデータで指定された `canvas_height` および `canvas_width` に一致します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 描画された姿勢キーポイントを含む画像です。画像の寸法は、入力キーポイントデータで指定された `canvas_height` および `canvas_width` に一致します。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseDrawKeypoints/ja.md) --- **Source fingerprint (SHA-256):** `c01397ed3608b65b737b60c2ae50919e0217cfe63b3695b68f176c2d69faa9c1` diff --git a/ja/built-in-nodes/SDPoseFaceBBoxes.mdx b/ja/built-in-nodes/SDPoseFaceBBoxes.mdx index 1b4aa0443..1d38e9f35 100644 --- a/ja/built-in-nodes/SDPoseFaceBBoxes.mdx +++ b/ja/built-in-nodes/SDPoseFaceBBoxes.mdx @@ -5,27 +5,27 @@ sidebarTitle: "SDPoseFaceBBoxes" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseFaceBBoxes/ja.md) - 以下が翻訳です。 SDPoseFaceBBoxesノードは、ポーズのキーポイントデータを処理して、人間の顔の周囲にバウンディングボックスを検出および生成します。フレーム内の各人物について2D顔キーポイントを分析し、それらのポイントに基づいてバウンディングボックスを計算し、ボックスのサイズや形状を調整することができます。生成されたバウンディングボックスは、SDPoseKeypointExtractorなどのSDPoseワークフロー内の他のノードと互換性のある形式になっています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|-------------| -| `キーポイント` | POSE_KEYPOINT | はい | - | フレームごとに検出された人物とその身体・顔のランドマークに関する情報を含むポーズキーポイントデータです。 | -| `スケール` | FLOAT | いいえ | 1.0 - 10.0 | 検出された各顔の周囲のバウンディングボックス領域の倍率です。値を大きくするとボックスが大きくなります。（デフォルト：1.5） | -| `正方形に強制` | BOOLEAN | いいえ | - | 短い方のバウンディングボックス軸を拡張して、クロップ領域を常に正方形にします。（デフォルト：True） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `キーポイント` | フレームごとに検出された人物とその身体・顔のランドマークに関する情報を含むポーズキーポイントデータです。 | POSE_KEYPOINT | はい | - | +| `スケール` | 検出された各顔の周囲のバウンディングボックス領域の倍率です。値を大きくするとボックスが大きくなります。（デフォルト：1.5） | FLOAT | いいえ | 1.0 - 10.0 | +| `正方形に強制` | 短い方のバウンディングボックス軸を拡張して、クロップ領域を常に正方形にします。（デフォルト：True） | BOOLEAN | いいえ | - | **注記：** `keypoints`入力は、SDPoseKeypointExtractorなどのノードが生成する特定の形式である必要があります。この形式には、`canvas_height`、`canvas_width`、および各人物の`face_keypoints_2d`を含む`people`データが含まれています。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `bboxes` | BOUNDINGBOX | 各フレームの顔バウンディングボックスのリストです。各バウンディングボックスは、左上隅の座標（`x`、`y`）、`width`、および`height`によって定義されます。この出力は、SDPoseKeypointExtractorノードの`bboxes`入力と互換性があります。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `bboxes` | 各フレームの顔バウンディングボックスのリストです。各バウンディングボックスは、左上隅の座標（`x`、`y`）、`width`、および`height`によって定義されます。この出力は、SDPoseKeypointExtractorノードの`bboxes`入力と互換性があります。 | BOUNDINGBOX | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseFaceBBoxes/ja.md) --- **Source fingerprint (SHA-256):** `bffbcddb882f6743a6cace6a4884fa5a257b746897c79ba9260c15260fab874e` diff --git a/ja/built-in-nodes/SDPoseKeypointExtractor.mdx b/ja/built-in-nodes/SDPoseKeypointExtractor.mdx index f57f6d9ce..ecc4f9c5f 100644 --- a/ja/built-in-nodes/SDPoseKeypointExtractor.mdx +++ b/ja/built-in-nodes/SDPoseKeypointExtractor.mdx @@ -5,21 +5,19 @@ sidebarTitle: "SDPoseKeypointExtractor" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseKeypointExtractor/ja.md) - 以下が翻訳結果です。 SDPoseKeypointExtractor ノードは、SDPose モデルを使用して入力画像から人体のポーズキーポイントを検出します。このノードは、画像全体またはバウンディングボックスで定義された特定の領域を処理でき、検出されたキーポイントを OpenPose 形式で出力します。この形式には、各人物の座標と各キーポイントの信頼度スコアが含まれます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | キーポイント検出に使用する SDPose モデルです。`heatmap_head` 属性を持つモデル、特に SDPose リポジトリのモデルである必要があります。 | -| `vae` | VAE | はい | - | 入力画像を処理のために潜在空間にエンコードするために使用する VAE モデルです。 | -| `画像` | IMAGE | はい | - | ポーズキーポイントを抽出する入力画像、または画像のバッチです。 | -| `バッチサイズ` | INT | いいえ | 1 ～ 10000 | 全画像モード（つまり `バウンディングボックス` が提供されていない場合）で実行する際に、一度に処理する画像の枚数です。これにより処理を高速化できます。（デフォルト: 16） | -| `バウンディングボックス` | BOUNDINGBOX | いいえ | - | より正確な検出のためのオプションのバウンディングボックスです。複数人物検出に必要です。指定された場合、ノードは各指定領域からキーポイントを抽出します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | キーポイント検出に使用する SDPose モデルです。`heatmap_head` 属性を持つモデル、特に SDPose リポジトリのモデルである必要があります。 | MODEL | はい | - | +| `vae` | 入力画像を処理のために潜在空間にエンコードするために使用する VAE モデルです。 | VAE | はい | - | +| `画像` | ポーズキーポイントを抽出する入力画像、または画像のバッチです。 | IMAGE | はい | - | +| `バッチサイズ` | 全画像モード（つまり `バウンディングボックス` が提供されていない場合）で実行する際に、一度に処理する画像の枚数です。これにより処理を高速化できます。（デフォルト: 16） | INT | いいえ | 1 ～ 10000 | +| `バウンディングボックス` | より正確な検出のためのオプションのバウンディングボックスです。複数人物検出に必要です。指定された場合、ノードは各指定領域からキーポイントを抽出します。 | BOUNDINGBOX | いいえ | - | **パラメータの制約:** * `model` 入力は、特定の SDPose モデルである必要があります。提供されたモデルに `heatmap_head` 属性がない場合、ノードはエラーを発生させます。 @@ -29,9 +27,11 @@ SDPoseKeypointExtractor ノードは、SDPose モデルを使用して入力画 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `keypoints` | POSE_KEYPOINT | OpenPose フレーム形式（canvas_width、canvas_height、people）のキーポイントです。出力には検出された人物が含まれ、各人物にはキーポイント座標（x、y）の配列と、対応する信頼度スコアが含まれます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `keypoints` | OpenPose フレーム形式（canvas_width、canvas_height、people）のキーポイントです。出力には検出された人物が含まれ、各人物にはキーポイント座標（x、y）の配列と、対応する信頼度スコアが含まれます。 | POSE_KEYPOINT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseKeypointExtractor/ja.md) --- **Source fingerprint (SHA-256):** `7903b51c9137aa08bb8843362740fcf93cea9c09d142bd1db3b5eee945c853e4` diff --git a/ja/built-in-nodes/SDTurboScheduler.mdx b/ja/built-in-nodes/SDTurboScheduler.mdx index d155fa6cc..16450f144 100644 --- a/ja/built-in-nodes/SDTurboScheduler.mdx +++ b/ja/built-in-nodes/SDTurboScheduler.mdx @@ -5,20 +5,20 @@ sidebarTitle: "SDTurboScheduler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDTurboScheduler/ja.md) - SDTurboSchedulerは、画像サンプリング用のシグマ値のシーケンスを生成するために設計されており、指定されたノイズ除去レベルとステップ数に基づいてシーケンスを調整します。このスケジューラーは、特定のモデルのサンプリング機能を活用してこれらのシグマ値を生成します。これらの値は、画像生成中のノイズ除去プロセスを制御する上で重要です。 ## 入力 -| パラメータ | データ型 | 説明 | +| パラメータ | 説明 | データ型 | | --- | --- | --- | -| `モデル` | `MODEL` | モデルパラメータは、シグマ値の生成に使用する生成モデルを指定します。スケジューラーの具体的なサンプリング動作と機能を決定する上で重要です。 | -| `ステップ` | `INT` | stepsパラメータは、生成するシグマシーケンスの長さを決定し、ノイズ除去プロセスの粒度に直接影響を与えます。 | -| `ノイズ除去` | `FLOAT` | denoiseパラメータは、シグマシーケンスの開始点を調整し、画像生成時に適用されるノイズ除去レベルの細かい制御を可能にします。 | +| `モデル` | モデルパラメータは、シグマ値の生成に使用する生成モデルを指定します。スケジューラーの具体的なサンプリング動作と機能を決定する上で重要です。 | `MODEL` | +| `ステップ` | stepsパラメータは、生成するシグマシーケンスの長さを決定し、ノイズ除去プロセスの粒度に直接影響を与えます。 | `INT` | +| `ノイズ除去` | denoiseパラメータは、シグマシーケンスの開始点を調整し、画像生成時に適用されるノイズ除去レベルの細かい制御を可能にします。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | +| パラメータ | 説明 | データ型 | | --- | --- | --- | -| `sigmas` | `SIGMAS` | 指定されたモデル、ステップ数、ノイズ除去レベルに基づいて生成されたシグマ値のシーケンスです。これらの値は、画像生成におけるノイズ除去プロセスを制御するために不可欠です。 | \ No newline at end of file +| `sigmas` | 指定されたモデル、ステップ数、ノイズ除去レベルに基づいて生成されたシグマ値のシーケンスです。これらの値は、画像生成におけるノイズ除去プロセスを制御するために不可欠です。 | `SIGMAS` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDTurboScheduler/ja.md) diff --git a/ja/built-in-nodes/SD_4XUpscale_Conditioning.mdx b/ja/built-in-nodes/SD_4XUpscale_Conditioning.mdx index 8f08f4932..c2d174d8f 100644 --- a/ja/built-in-nodes/SD_4XUpscale_Conditioning.mdx +++ b/ja/built-in-nodes/SD_4XUpscale_Conditioning.mdx @@ -5,29 +5,29 @@ sidebarTitle: "SD_4XUpscale_Conditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SD_4XUpscale_Conditioning/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください。 SD_4XUpscale_Conditioningノードは、拡散モデルを使用して画像をアップスケールするための条件付けデータを準備します。入力画像と条件付けデータを受け取り、スケーリングとノイズ拡張を適用して、アップスケールプロセスを導く修正済み条件付けを作成します。このノードは、アップスケールされた次元に対応する潜在表現とともに、ポジティブ条件付けとネガティブ条件付けの両方を出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | アップスケールする入力画像 | -| `ポジティブ` | CONDITIONING | はい | - | 生成を望ましいコンテンツへ導くポジティブ条件付けデータ | -| `ネガティブ` | CONDITIONING | はい | - | 生成を望ましくないコンテンツから遠ざけるネガティブ条件付けデータ | -| `スケール比` | FLOAT | いいえ | 0.0 - 10.0 | 入力画像に適用されるスケーリング係数（デフォルト：4.0） | -| `ノイズ増強` | FLOAT | いいえ | 0.0 - 1.0 | アップスケールプロセス中に追加するノイズの量（デフォルト：0.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | アップスケールする入力画像 | IMAGE | はい | - | +| `ポジティブ` | 生成を望ましいコンテンツへ導くポジティブ条件付けデータ | CONDITIONING | はい | - | +| `ネガティブ` | 生成を望ましくないコンテンツから遠ざけるネガティブ条件付けデータ | CONDITIONING | はい | - | +| `スケール比` | 入力画像に適用されるスケーリング係数（デフォルト：4.0） | FLOAT | いいえ | 0.0 - 10.0 | +| `ノイズ増強` | アップスケールプロセス中に追加するノイズの量（デフォルト：0.0） | FLOAT | いいえ | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | アップスケール情報が適用された修正済みポジティブ条件付け | -| `潜在` | CONDITIONING | アップスケール情報が適用された修正済みネガティブ条件付け | -| `latent` | LATENT | アップスケールされた次元に一致する空の潜在表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | アップスケール情報が適用された修正済みポジティブ条件付け | CONDITIONING | +| `潜在` | アップスケール情報が適用された修正済みネガティブ条件付け | CONDITIONING | +| `latent` | アップスケールされた次元に一致する空の潜在表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SD_4XUpscale_Conditioning/ja.md) --- **Source fingerprint (SHA-256):** `ede1ea8f5a95e7f9e52070b5132a4ed3e87f92230d14a74b9d713f547c74d785` diff --git a/ja/built-in-nodes/SUPIRApply.mdx b/ja/built-in-nodes/SUPIRApply.mdx index 5a56acc2f..0ac73d005 100644 --- a/ja/built-in-nodes/SUPIRApply.mdx +++ b/ja/built-in-nodes/SUPIRApply.mdx @@ -5,30 +5,30 @@ sidebarTitle: "SUPIRApply" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SUPIRApply/ja.md) - SUPIRApplyノードは、SUPIRモデルパッチを拡散モデルに適用します。このパッチを使用してモデルの動作を変更し、サンプリングプロセス中に入力画像からのガイダンスを組み込むことを可能にします。また、このガイダンスの強度を時間経過に応じて調整するための制御機能と、元の入力への忠実度を維持するためのオプション機能も提供します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | SUPIRパッチが適用されるベースとなる拡散モデル。 | -| `model_patch` | MODELPATCH | はい | - | モデルを変更するための重みと設定を含むSUPIRモデルパッチ。 | -| `vae` | VAE | はい | - | 入力画像を潜在表現にエンコードするために使用されるVAE（変分オートエンコーダ）。 | -| `image` | IMAGE | はい | - | 生成プロセスをガイドするために使用される入力画像。最初の3つのカラーチャンネル（RGB）のみが使用されます。 | -| `strength_start` | FLOAT | いいえ | 0.0 - 10.0 | サンプリング開始時（高シグマ）の制御強度。画像ガイダンスの影響はこの値から始まります。（デフォルト：1.0） | -| `strength_end` | FLOAT | いいえ | 0.0 - 10.0 | サンプリング終了時（低シグマ）の制御強度。開始値から線形補間されます。画像ガイダンスの影響はこの値で終了します。（デフォルト：1.0） | -| `restore_cfg` | FLOAT | いいえ | 0.0 - 20.0 | ノイズ除去された出力を入力潜在表現に引き寄せます。値が大きいほど入力への忠実度が高まります。0で無効化します。（デフォルト：4.0） | -| `restore_cfg_s_tmin` | FLOAT | いいえ | 0.0 - 1.0 | このシグマ閾値を下回るとrestore_cfgが無効化されます。（デフォルト：0.05） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | SUPIRパッチが適用されるベースとなる拡散モデル。 | MODEL | はい | - | +| `model_patch` | モデルを変更するための重みと設定を含むSUPIRモデルパッチ。 | MODELPATCH | はい | - | +| `vae` | 入力画像を潜在表現にエンコードするために使用されるVAE（変分オートエンコーダ）。 | VAE | はい | - | +| `image` | 生成プロセスをガイドするために使用される入力画像。最初の3つのカラーチャンネル（RGB）のみが使用されます。 | IMAGE | はい | - | +| `strength_start` | サンプリング開始時（高シグマ）の制御強度。画像ガイダンスの影響はこの値から始まります。（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 10.0 | +| `strength_end` | サンプリング終了時（低シグマ）の制御強度。開始値から線形補間されます。画像ガイダンスの影響はこの値で終了します。（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 10.0 | +| `restore_cfg` | ノイズ除去された出力を入力潜在表現に引き寄せます。値が大きいほど入力への忠実度が高まります。0で無効化します。（デフォルト：4.0） | FLOAT | いいえ | 0.0 - 20.0 | +| `restore_cfg_s_tmin` | このシグマ閾値を下回るとrestore_cfgが無効化されます。（デフォルト：0.05） | FLOAT | いいえ | 0.0 - 1.0 | *注記：* `image`入力はRGBチャンネルのみを抽出するように処理されます。アルファチャンネルを含む画像が提供された場合、アルファチャンネルは無視されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | SUPIRパッチが適用され、追加のポストCFG関数が設定された拡散モデル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | SUPIRパッチが適用され、追加のポストCFG関数が設定された拡散モデル。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SUPIRApply/ja.md) --- **Source fingerprint (SHA-256):** `32ba7a337060b52d4c9085a6a2bc209c737e374dee4291d431d2caf768fc2817` diff --git a/ja/built-in-nodes/SV3D_Conditioning.mdx b/ja/built-in-nodes/SV3D_Conditioning.mdx index 024bf24e0..21672db1e 100644 --- a/ja/built-in-nodes/SV3D_Conditioning.mdx +++ b/ja/built-in-nodes/SV3D_Conditioning.mdx @@ -5,29 +5,29 @@ sidebarTitle: "SV3D_Conditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SV3D_Conditioning/ja.md) - SV3D_Conditioning ノードは、SV3Dモデルを使用した3D動画生成のための条件付けデータを準備します。初期画像を受け取り、CLIPビジョンエンコーダーとVAEエンコーダーで処理することで、ポジティブおよびネガティブな条件付けデータと、潜在表現を生成します。このノードは、指定された動画フレーム数に基づいて、マルチフレーム動画生成のためのカメラ仰角と方位角のシーケンスを生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `クリップビジョン` | CLIP_VISION | はい | - | 入力画像のエンコードに使用するCLIPビジョンモデル | -| `初期画像` | IMAGE | はい | - | 3D動画生成の開始点となる初期画像 | -| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするためのVAEモデル | -| `幅` | INT | いいえ | 16 ～ MAX_RESOLUTION | 生成される動画フレームの出力幅（デフォルト：576、8で割り切れる必要があります） | -| `高さ` | INT | いいえ | 16 ～ MAX_RESOLUTION | 生成される動画フレームの出力高さ（デフォルト：576、8で割り切れる必要があります） | -| `ビデオフレーム` | INT | いいえ | 1 ～ 4096 | 動画シーケンスとして生成するフレーム数（デフォルト：21） | -| `高度` | FLOAT | いいえ | -90.0 ～ 90.0 | 3Dビューのカメラ仰角（度単位）（デフォルト：0.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `クリップビジョン` | 入力画像のエンコードに使用するCLIPビジョンモデル | CLIP_VISION | はい | - | +| `初期画像` | 3D動画生成の開始点となる初期画像 | IMAGE | はい | - | +| `vae` | 画像を潜在空間にエンコードするためのVAEモデル | VAE | はい | - | +| `幅` | 生成される動画フレームの出力幅（デフォルト：576、8で割り切れる必要があります） | INT | いいえ | 16 ～ MAX_RESOLUTION | +| `高さ` | 生成される動画フレームの出力高さ（デフォルト：576、8で割り切れる必要があります） | INT | いいえ | 16 ～ MAX_RESOLUTION | +| `ビデオフレーム` | 動画シーケンスとして生成するフレーム数（デフォルト：21） | INT | いいえ | 1 ～ 4096 | +| `高度` | 3Dビューのカメラ仰角（度単位）（デフォルト：0.0） | FLOAT | いいえ | -90.0 ～ 90.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 画像埋め込みとカメラパラメータを含む、生成用のポジティブ条件付けデータ | -| `潜在` | CONDITIONING | 対照的な生成のための、ゼロ埋め込みを含むネガティブ条件付けデータ | -| `latent` | LATENT | 指定された動画フレーム数と解像度に一致する次元を持つ、空の潜在テンソル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 画像埋め込みとカメラパラメータを含む、生成用のポジティブ条件付けデータ | CONDITIONING | +| `潜在` | 対照的な生成のための、ゼロ埋め込みを含むネガティブ条件付けデータ | CONDITIONING | +| `latent` | 指定された動画フレーム数と解像度に一致する次元を持つ、空の潜在テンソル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SV3D_Conditioning/ja.md) --- **Source fingerprint (SHA-256):** `be02939aa4cdd1785eb445034a27d08a90e390a497fa9697fb769f0ce26e6d2f` diff --git a/ja/built-in-nodes/SVD_img2vid_Conditioning.mdx b/ja/built-in-nodes/SVD_img2vid_Conditioning.mdx index 2bfe2e286..a636c7a66 100644 --- a/ja/built-in-nodes/SVD_img2vid_Conditioning.mdx +++ b/ja/built-in-nodes/SVD_img2vid_Conditioning.mdx @@ -5,31 +5,31 @@ sidebarTitle: "SVD_img2vid_Conditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SVD_img2vid_Conditioning/ja.md) - SVD_img2vid_Conditioning ノードは、Stable Video Diffusion を使用した動画生成のための条件付けデータを準備します。初期画像を受け取り、CLIP vision エンコーダーと VAE エンコーダーを通して処理し、ポジティブおよびネガティブな条件付けペアと、動画生成用の空の潜在空間を作成します。このノードは、生成される動画における動き、フレームレート、および拡張レベルの制御に必要なパラメーターを設定します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip_vision` | CLIP_VISION | はい | - | 入力画像をエンコードするためのCLIP visionモデル | -| `初期画像` | IMAGE | はい | - | 動画生成の開始点として使用する初期画像 | -| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするためのVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（デフォルト：1024、ステップ：8） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（デフォルト：576、ステップ：8） | -| `ビデオフレーム` | INT | はい | 1 ～ 4096 | 動画内で生成するフレーム数（デフォルト：14） | -| `モーションバケットID` | INT | はい | 1 ～ 1023 | 生成される動画の動きの量を制御します（デフォルト：127） | -| `fps` | INT | はい | 1 ～ 1024 | 生成される動画のフレームレート（デフォルト：6） | -| `増強レベル` | FLOAT | はい | 0.0 ～ 10.0 | 入力画像に適用するノイズ拡張のレベル（デフォルト：0.0、ステップ：0.01） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip_vision` | 入力画像をエンコードするためのCLIP visionモデル | CLIP_VISION | はい | - | +| `初期画像` | 動画生成の開始点として使用する初期画像 | IMAGE | はい | - | +| `vae` | 画像を潜在空間にエンコードするためのVAEモデル | VAE | はい | - | +| `幅` | 出力動画の幅（デフォルト：1024、ステップ：8） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力動画の高さ（デフォルト：576、ステップ：8） | INT | はい | 16 ～ MAX_RESOLUTION | +| `ビデオフレーム` | 動画内で生成するフレーム数（デフォルト：14） | INT | はい | 1 ～ 4096 | +| `モーションバケットID` | 生成される動画の動きの量を制御します（デフォルト：127） | INT | はい | 1 ～ 1023 | +| `fps` | 生成される動画のフレームレート（デフォルト：6） | INT | はい | 1 ～ 1024 | +| `増強レベル` | 入力画像に適用するノイズ拡張のレベル（デフォルト：0.0、ステップ：0.01） | FLOAT | はい | 0.0 ～ 10.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 画像埋め込みと動画パラメーターを含むポジティブ条件付けデータ | -| `潜在` | CONDITIONING | ゼロ埋めされた埋め込みと動画パラメーターを含むネガティブ条件付けデータ | -| `latent` | LATENT | 動画生成の準備が整った空の潜在空間テンソル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 画像埋め込みと動画パラメーターを含むポジティブ条件付けデータ | CONDITIONING | +| `潜在` | ゼロ埋めされた埋め込みと動画パラメーターを含むネガティブ条件付けデータ | CONDITIONING | +| `latent` | 動画生成の準備が整った空の潜在空間テンソル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SVD_img2vid_Conditioning/ja.md) --- **Source fingerprint (SHA-256):** `33b295b6f2e459852aaa95d9dca26c724aa2e9ad0f884a1c7760766530a00a09` diff --git a/ja/built-in-nodes/SamplerARVideo.mdx b/ja/built-in-nodes/SamplerARVideo.mdx index 02237365b..6269c0f14 100644 --- a/ja/built-in-nodes/SamplerARVideo.mdx +++ b/ja/built-in-nodes/SamplerARVideo.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SamplerARVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerARVideo/ja.md) - 以下が翻訳結果です。 Sampler AR Video ノードは、Causal Forcing や Self-Forcing 技術を使用する自己回帰ビデオモデル向けの特殊なサンプリング手法を提供します。ワークフロー内で自己回帰（AR）ループに関連するすべてのパラメータを直接管理し、モデルがビデオフレームを1ステップずつ生成する方法を簡単に設定できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|-------------| -| `num_frame_per_block` | INT | はい | 1 ～ 64 | 自己回帰ブロックあたりのフレーム数。値が1の場合はモデルが1フレームずつ（フレーム単位で）生成し、値が3の場合は3フレームをまとめて（チャンク単位で）生成します。この設定はチェックポイントのトレーニングモードと一致している必要があります。デフォルト：1。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `num_frame_per_block` | 自己回帰ブロックあたりのフレーム数。値が1の場合はモデルが1フレームずつ（フレーム単位で）生成し、値が3の場合は3フレームをまとめて（チャンク単位で）生成します。この設定はチェックポイントのトレーニングモードと一致している必要があります。デフォルト：1。 | INT | はい | 1 ～ 64 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `SAMPLER` | SAMPLER | 指定された自己回帰パラメータを持つ "ar_video" サンプリング関数を使用する、設定済みのサンプラーオブジェクト。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `SAMPLER` | 指定された自己回帰パラメータを持つ "ar_video" サンプリング関数を使用する、設定済みのサンプラーオブジェクト。 | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerARVideo/ja.md) --- **Source fingerprint (SHA-256):** `5b735f98fdde074ee9483503fee0e2322d510aed846336b382a8ea89a363c9e4` diff --git a/ja/built-in-nodes/SamplerCustom.mdx b/ja/built-in-nodes/SamplerCustom.mdx index 75b92d874..2708b14ea 100644 --- a/ja/built-in-nodes/SamplerCustom.mdx +++ b/ja/built-in-nodes/SamplerCustom.mdx @@ -5,27 +5,27 @@ sidebarTitle: "SamplerCustom" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustom/ja.md) - SamplerCustomノードは、様々なアプリケーションに対して柔軟かつカスタマイズ可能なサンプリングメカニズムを提供するために設計されています。これにより、ユーザーは特定のニーズに合わせて異なるサンプリング戦略を選択および設定でき、サンプリングプロセスの適応性と効率性が向上します。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|--------------|-------------| -| `モデル` | `MODEL` | 「model」入力タイプは、サンプリングに使用するモデルを指定します。これはサンプリングの動作と出力を決定する上で重要な役割を果たします。 | -| `ノイズを追加` | `BOOLEAN` | 「add_noise」入力タイプは、サンプリングプロセスにノイズを追加するかどうかを指定できるようにします。生成されるサンプルの多様性と特性に影響を与えます。 | -| `ノイズシード` | `INT` | 「noise_seed」入力タイプは、ノイズ生成のためのシード値を提供します。ノイズを追加する際に、サンプリングプロセスの再現性と一貫性を保証します。 | -| `cfg` | `FLOAT` | 「cfg」入力タイプは、サンプリングプロセスの設定を行います。サンプリングパラメータと動作の微調整を可能にします。 | -| `ポジティブ` | `CONDITIONING` | 「positive」入力タイプは、ポジティブな条件付け情報を表します。指定されたポジティブな属性に沿ったサンプルを生成するようにサンプリングプロセスを導きます。 | -| `ネガティブ` | `CONDITIONING` | 「negative」入力タイプは、ネガティブな条件付け情報を表します。指定されたネガティブな属性を示すサンプルを生成しないようにサンプリングプロセスを誘導します。 | -| `サンプラー` | `SAMPLER` | 「sampler」入力タイプは、使用する特定のサンプリング戦略を選択します。生成されるサンプルの性質と品質に直接影響を与えます。 | -| `シグマ` | `SIGMAS` | 「sigmas」入力タイプは、サンプリングプロセスで使用するノイズレベルを定義します。サンプル空間の探索と出力の多様性に影響を与えます。 | -| `潜在画像` | `LATENT` | 「latent_image」入力タイプは、サンプリングプロセスの初期潜在画像を提供します。サンプル生成の開始点として機能します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 「model」入力タイプは、サンプリングに使用するモデルを指定します。これはサンプリングの動作と出力を決定する上で重要な役割を果たします。 | `MODEL` | +| `ノイズを追加` | 「add_noise」入力タイプは、サンプリングプロセスにノイズを追加するかどうかを指定できるようにします。生成されるサンプルの多様性と特性に影響を与えます。 | `BOOLEAN` | +| `ノイズシード` | 「noise_seed」入力タイプは、ノイズ生成のためのシード値を提供します。ノイズを追加する際に、サンプリングプロセスの再現性と一貫性を保証します。 | `INT` | +| `cfg` | 「cfg」入力タイプは、サンプリングプロセスの設定を行います。サンプリングパラメータと動作の微調整を可能にします。 | `FLOAT` | +| `ポジティブ` | 「positive」入力タイプは、ポジティブな条件付け情報を表します。指定されたポジティブな属性に沿ったサンプルを生成するようにサンプリングプロセスを導きます。 | `CONDITIONING` | +| `ネガティブ` | 「negative」入力タイプは、ネガティブな条件付け情報を表します。指定されたネガティブな属性を示すサンプルを生成しないようにサンプリングプロセスを誘導します。 | `CONDITIONING` | +| `サンプラー` | 「sampler」入力タイプは、使用する特定のサンプリング戦略を選択します。生成されるサンプルの性質と品質に直接影響を与えます。 | `SAMPLER` | +| `シグマ` | 「sigmas」入力タイプは、サンプリングプロセスで使用するノイズレベルを定義します。サンプル空間の探索と出力の多様性に影響を与えます。 | `SIGMAS` | +| `潜在画像` | 「latent_image」入力タイプは、サンプリングプロセスの初期潜在画像を提供します。サンプル生成の開始点として機能します。 | `LATENT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|--------------|-------------| -| `ノイズ除去出力` | `LATENT` | 「output」はサンプリングプロセスの主要な結果を表し、生成されたサンプルを含みます。 | -| `denoised_output` | `LATENT` | 「denoised_output」は、ノイズ除去処理が適用された後のサンプルを表します。生成されたサンプルの明瞭さと品質を向上させる可能性があります。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `ノイズ除去出力` | 「output」はサンプリングプロセスの主要な結果を表し、生成されたサンプルを含みます。 | `LATENT` | +| `denoised_output` | 「denoised_output」は、ノイズ除去処理が適用された後のサンプルを表します。生成されたサンプルの明瞭さと品質を向上させる可能性があります。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustom/ja.md) diff --git a/ja/built-in-nodes/SamplerCustomAdvanced.mdx b/ja/built-in-nodes/SamplerCustomAdvanced.mdx index 894a1c7d0..5965b6afb 100644 --- a/ja/built-in-nodes/SamplerCustomAdvanced.mdx +++ b/ja/built-in-nodes/SamplerCustomAdvanced.mdx @@ -5,26 +5,26 @@ sidebarTitle: "SamplerCustomAdvanced" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustomAdvanced/ja.md) - SamplerCustomAdvanced ノードは、カスタムノイズ、ガイダンス、およびサンプリング設定を使用して、高度な潜在空間サンプリングを実行します。カスタマイズ可能なノイズ生成とシグマスケジュールを用いたガイド付きサンプリングプロセスを通じて潜在画像を処理し、最終的なサンプリング出力と、利用可能な場合にはノイズ除去されたバージョンの両方を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ノイズ` | NOISE | はい | - | サンプリングプロセスに初期ノイズパターンとシードを提供するノイズジェネレーター | -| `ガイダー` | GUIDER | はい | - | サンプリングプロセスを目的の出力へと導くガイダンスモデル | -| `サンプラー` | SAMPLER | はい | - | 生成中に潜在空間をどのように移動するかを定義するサンプリングアルゴリズム | -| `シグマ` | SIGMAS | はい | - | サンプリングステップ全体のノイズレベルを制御するシグマスケジュール | -| `潜在イメージ` | LATENT | はい | - | サンプリングの開始点となる初期潜在表現 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ノイズ` | サンプリングプロセスに初期ノイズパターンとシードを提供するノイズジェネレーター | NOISE | はい | - | +| `ガイダー` | サンプリングプロセスを目的の出力へと導くガイダンスモデル | GUIDER | はい | - | +| `サンプラー` | 生成中に潜在空間をどのように移動するかを定義するサンプリングアルゴリズム | SAMPLER | はい | - | +| `シグマ` | サンプリングステップ全体のノイズレベルを制御するシグマスケジュール | SIGMAS | はい | - | +| `潜在イメージ` | サンプリングの開始点となる初期潜在表現 | LATENT | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ノイズ除去出力` | LATENT | サンプリングプロセス完了後の最終的なサンプリング済み潜在表現 | -| `denoised_output` | LATENT | 利用可能な場合の出力のノイズ除去バージョン。それ以外の場合は出力と同じものを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ノイズ除去出力` | サンプリングプロセス完了後の最終的なサンプリング済み潜在表現 | LATENT | +| `denoised_output` | 利用可能な場合の出力のノイズ除去バージョン。それ以外の場合は出力と同じものを返します | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustomAdvanced/ja.md) --- **Source fingerprint (SHA-256):** `bf711ecc0684ad04babe5c63a246195f358204d203e836587a90feff742929a3` diff --git a/ja/built-in-nodes/SamplerDPMAdaptative.mdx b/ja/built-in-nodes/SamplerDPMAdaptative.mdx index 9266c601e..9be741400 100644 --- a/ja/built-in-nodes/SamplerDPMAdaptative.mdx +++ b/ja/built-in-nodes/SamplerDPMAdaptative.mdx @@ -5,30 +5,30 @@ sidebarTitle: "SamplerDPMAdaptative" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMAdaptative/ja.md) - SamplerDPMAdaptative ノードは、サンプリングプロセス中にステップサイズを自動的に調整する適応型DPM（拡散確率モデル）サンプラーを実装します。許容誤差ベースの誤差制御を使用して最適なステップサイズを決定し、計算効率とサンプリング精度のバランスを取ります。この適応的アプローチは、必要なステップ数を削減しながら品質を維持するのに役立ちます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `順序` | INT | はい | 2-3 | サンプラー手法の次数（デフォルト：3） | -| `rtol` | FLOAT | はい | 0.0-100.0 | 誤差制御のための相対許容誤差（デフォルト：0.05） | -| `atol` | FLOAT | はい | 0.0-100.0 | 誤差制御のための絶対許容誤差（デフォルト：0.0078） | -| `h_init` | FLOAT | はい | 0.0-100.0 | 初期ステップサイズ（デフォルト：0.05） | -| `pcoeff` | FLOAT | はい | 0.0-100.0 | ステップサイズ制御の比例係数（デフォルト：0.0） | -| `icoeff` | FLOAT | はい | 0.0-100.0 | ステップサイズ制御の積分係数（デフォルト：1.0） | -| `dcoeff` | FLOAT | はい | 0.0-100.0 | ステップサイズ制御の微分係数（デフォルト：0.0） | -| `accept_safety` | FLOAT | はい | 0.0-100.0 | ステップ受け入れの安全係数（デフォルト：0.81） | -| `eta` | FLOAT | はい | 0.0-100.0 | 確率性パラメータ（デフォルト：0.0） | -| `s_noise` | FLOAT | はい | 0.0-100.0 | ノイズスケーリング係数（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `順序` | サンプラー手法の次数（デフォルト：3） | INT | はい | 2-3 | +| `rtol` | 誤差制御のための相対許容誤差（デフォルト：0.05） | FLOAT | はい | 0.0-100.0 | +| `atol` | 誤差制御のための絶対許容誤差（デフォルト：0.0078） | FLOAT | はい | 0.0-100.0 | +| `h_init` | 初期ステップサイズ（デフォルト：0.05） | FLOAT | はい | 0.0-100.0 | +| `pcoeff` | ステップサイズ制御の比例係数（デフォルト：0.0） | FLOAT | はい | 0.0-100.0 | +| `icoeff` | ステップサイズ制御の積分係数（デフォルト：1.0） | FLOAT | はい | 0.0-100.0 | +| `dcoeff` | ステップサイズ制御の微分係数（デフォルト：0.0） | FLOAT | はい | 0.0-100.0 | +| `accept_safety` | ステップ受け入れの安全係数（デフォルト：0.81） | FLOAT | はい | 0.0-100.0 | +| `eta` | 確率性パラメータ（デフォルト：0.0） | FLOAT | はい | 0.0-100.0 | +| `s_noise` | ノイズスケーリング係数（デフォルト：1.0） | FLOAT | はい | 0.0-100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | 設定済みのDPM適応型サンプラーインスタンスを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | 設定済みのDPM適応型サンプラーインスタンスを返します | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMAdaptative/ja.md) --- **Source fingerprint (SHA-256):** `2815ba8c3325d3d099de685edc99e9ff8e90736c1f4bd0188165969179cb99fa` diff --git a/ja/built-in-nodes/SamplerDPMPP_2M_SDE.mdx b/ja/built-in-nodes/SamplerDPMPP_2M_SDE.mdx index c3f6ecc0b..b92568f5f 100644 --- a/ja/built-in-nodes/SamplerDPMPP_2M_SDE.mdx +++ b/ja/built-in-nodes/SamplerDPMPP_2M_SDE.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SamplerDPMPP_2M_SDE" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2M_SDE/ja.md) - SamplerDPMPP_2M_SDE ノードは、拡散モデル用の DPM++ 2M SDE サンプラーを作成します。このサンプラーは、確率微分方程式を伴う2次微分方程式ソルバーを使用してサンプルを生成します。サンプリングプロセスを制御するために、異なるソルバータイプとノイズ処理オプションを提供します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ソルバータイプ` | STRING | はい | `"midpoint"`
`"heun"` | サンプリングプロセスで使用する微分方程式ソルバーの種類 | -| `eta` | FLOAT | はい | 0.0 - 100.0 | サンプリングプロセスの確率性を制御します（デフォルト: 1.0） | -| `s_noise` | FLOAT | はい | 0.0 - 100.0 | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0） | -| `ノイズデバイス` | STRING | はい | `"gpu"`
`"cpu"` | ノイズ計算を実行するデバイス。"cpu" に設定すると、サンプラーは CPU ベースのノイズ生成を使用し、"gpu" に設定すると、GPU ベースのノイズ生成を使用して、より高速なパフォーマンスを実現します | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ソルバータイプ` | サンプリングプロセスで使用する微分方程式ソルバーの種類 | STRING | はい | `"midpoint"`
`"heun"` | +| `eta` | サンプリングプロセスの確率性を制御します（デフォルト: 1.0） | FLOAT | はい | 0.0 - 100.0 | +| `s_noise` | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0） | FLOAT | はい | 0.0 - 100.0 | +| `ノイズデバイス` | ノイズ計算を実行するデバイス。"cpu" に設定すると、サンプラーは CPU ベースのノイズ生成を使用し、"gpu" に設定すると、GPU ベースのノイズ生成を使用して、より高速なパフォーマンスを実現します | STRING | はい | `"gpu"`
`"cpu"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | サンプリングパイプラインで使用できるように設定されたサンプラーオブジェクト | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | サンプリングパイプラインで使用できるように設定されたサンプラーオブジェクト | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2M_SDE/ja.md) --- **Source fingerprint (SHA-256):** `4a6a16e3494e8270f3707e172f252e7fc4e1b65efbecd3dd086b1a1edc5ba23a` diff --git a/ja/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx b/ja/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx index f3769d08c..de09cf646 100644 --- a/ja/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx +++ b/ja/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx @@ -5,8 +5,6 @@ sidebarTitle: "SamplerDPMPP_2S_Ancestral" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2S_Ancestral/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,16 +12,18 @@ SamplerDPMPP_2S_Ancestral ノードは、DPM++ 2S Ancestral サンプリング ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | はい | 0.0 - 100.0 | サンプリング中に追加される確率的ノイズの量を制御します（デフォルト：1.0） | -| `s_noise` | FLOAT | はい | 0.0 - 100.0 | サンプリングプロセス中に適用されるノイズのスケールを制御します（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `eta` | サンプリング中に追加される確率的ノイズの量を制御します（デフォルト：1.0） | FLOAT | はい | 0.0 - 100.0 | +| `s_noise` | サンプリングプロセス中に適用されるノイズのスケールを制御します（デフォルト：1.0） | FLOAT | はい | 0.0 - 100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | サンプリングパイプラインで使用できる設定済みのサンプラーオブジェクトを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | サンプリングパイプラインで使用できる設定済みのサンプラーオブジェクトを返します | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2S_Ancestral/ja.md) --- **Source fingerprint (SHA-256):** `9634c96934850f5b746cd7c8b29727396af534133b8d54b6bdac12e9e0975189` diff --git a/ja/built-in-nodes/SamplerDPMPP_3M_SDE.mdx b/ja/built-in-nodes/SamplerDPMPP_3M_SDE.mdx index 2110a4626..aca064023 100644 --- a/ja/built-in-nodes/SamplerDPMPP_3M_SDE.mdx +++ b/ja/built-in-nodes/SamplerDPMPP_3M_SDE.mdx @@ -5,8 +5,6 @@ sidebarTitle: "SamplerDPMPP_3M_SDE" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_3M_SDE/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,17 +12,19 @@ SamplerDPMPP_3M_SDE ノードは、サンプリングプロセスで使用する ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | はい | 0.0 - 100.0 | サンプリングプロセスの確率性を制御します（デフォルト: 1.0） | -| `s_noise` | FLOAT | はい | 0.0 - 100.0 | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0） | -| `ノイズデバイス` | COMBO | はい | "gpu"
"cpu" | ノイズ計算に使用するデバイスを選択します。GPU または CPU から選択できます（デフォルト: "gpu"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `eta` | サンプリングプロセスの確率性を制御します（デフォルト: 1.0） | FLOAT | はい | 0.0 - 100.0 | +| `s_noise` | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0） | FLOAT | はい | 0.0 - 100.0 | +| `ノイズデバイス` | ノイズ計算に使用するデバイスを選択します。GPU または CPU から選択できます（デフォルト: "gpu"） | COMBO | はい | "gpu"
"cpu" | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | サンプリングワークフローで使用するための設定済みサンプラーオブジェクトを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | サンプリングワークフローで使用するための設定済みサンプラーオブジェクトを返します | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_3M_SDE/ja.md) --- **Source fingerprint (SHA-256):** `817ce8c12245063e5f2f3421f57dd55801aae96dfd8fe1bf3f88f814799b830a` diff --git a/ja/built-in-nodes/SamplerDPMPP_SDE.mdx b/ja/built-in-nodes/SamplerDPMPP_SDE.mdx index 334420067..58e1500ca 100644 --- a/ja/built-in-nodes/SamplerDPMPP_SDE.mdx +++ b/ja/built-in-nodes/SamplerDPMPP_SDE.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SamplerDPMPP_SDE" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_SDE/ja.md) - SamplerDPMPP_SDE ノードは、サンプリングプロセスで使用するDPM++ SDE（確率的微分方程式）サンプラーを作成します。このサンプラーは、設定可能なノイズパラメータとデバイス選択を備えた確率的サンプリング手法を提供します。サンプリングパイプラインで使用可能なサンプラーオブジェクトを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|-------------| -| `eta` | FLOAT | はい | 0.0 - 100.0 | サンプリングプロセスの確率性を制御します（デフォルト: 1.0） | -| `s_noise` | FLOAT | はい | 0.0 - 100.0 | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0） | -| `r` | FLOAT | はい | 0.0 - 100.0 | サンプリング動作に影響を与えるパラメータです（デフォルト: 0.5） | -| `ノイズデバイス` | COMBO | はい | "gpu"
"cpu" | ノイズ計算を実行するデバイスを選択します（デフォルト: "gpu"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `eta` | サンプリングプロセスの確率性を制御します（デフォルト: 1.0） | FLOAT | はい | 0.0 - 100.0 | +| `s_noise` | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0） | FLOAT | はい | 0.0 - 100.0 | +| `r` | サンプリング動作に影響を与えるパラメータです（デフォルト: 0.5） | FLOAT | はい | 0.0 - 100.0 | +| `ノイズデバイス` | ノイズ計算を実行するデバイスを選択します（デフォルト: "gpu"） | COMBO | はい | "gpu"
"cpu" | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | サンプリングパイプラインで使用するための、設定済みのDPM++ SDEサンプラーオブジェクトを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | サンプリングパイプラインで使用するための、設定済みのDPM++ SDEサンプラーオブジェクトを返します | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_SDE/ja.md) --- **Source fingerprint (SHA-256):** `43b3b3c4b2756a6e7979c12418de1dba79e3e0c0fde2a06505cf0a6825e6ebbf` diff --git a/ja/built-in-nodes/SamplerDpmpp2mSde.mdx b/ja/built-in-nodes/SamplerDpmpp2mSde.mdx index 16199a5d7..4133d68c0 100644 --- a/ja/built-in-nodes/SamplerDpmpp2mSde.mdx +++ b/ja/built-in-nodes/SamplerDpmpp2mSde.mdx @@ -5,21 +5,21 @@ sidebarTitle: "SamplerDpmpp2mSde" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDpmpp2mSde/ja.md) - このノードは、DPMPP_2M_SDEモデル用のサンプラーを生成するために設計されており、指定されたソルバータイプ、ノイズレベル、および計算デバイスの設定に基づいてサンプルを作成できます。サンプラーの設定の複雑さを抽象化し、カスタマイズされた設定でサンプルを生成するための合理化されたインターフェースを提供します。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------------|-------------|-----------------------------------------------------------------------------| -| `solver_type` | COMBO[STRING] | サンプリングプロセスで使用するソルバータイプを指定します。'midpoint'と'heun'のオプションから選択できます。この選択は、サンプリング中に適用される数値積分法に影響を与えます。 | -| `eta` | `FLOAT` | 数値積分におけるステップサイズを決定し、サンプリングプロセスの粒度に影響を与えます。値が大きいほどステップサイズが大きくなります。 | -| `s_noise` | `FLOAT` | サンプリングプロセス中に導入されるノイズのレベルを制御し、生成されるサンプルのばらつきに影響を与えます。 | -| `noise_device` | COMBO[STRING] | ノイズ生成プロセスが実行される計算デバイス（'gpu'または'cpu'）を示し、パフォーマンスと効率に影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `solver_type` | サンプリングプロセスで使用するソルバータイプを指定します。'midpoint'と'heun'のオプションから選択できます。この選択は、サンプリング中に適用される数値積分法に影響を与えます。 | COMBO[STRING] | +| `eta` | 数値積分におけるステップサイズを決定し、サンプリングプロセスの粒度に影響を与えます。値が大きいほどステップサイズが大きくなります。 | `FLOAT` | +| `s_noise` | サンプリングプロセス中に導入されるノイズのレベルを制御し、生成されるサンプルのばらつきに影響を与えます。 | `FLOAT` | +| `noise_device` | ノイズ生成プロセスが実行される計算デバイス（'gpu'または'cpu'）を示し、パフォーマンスと効率に影響を与えます。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------------|-------------|-----------------------------------------------------------------------------| -| `sampler` | `SAMPLER` | 指定されたパラメータに従って設定されたサンプラーが出力され、サンプル生成の準備が整った状態で提供されます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | 指定されたパラメータに従って設定されたサンプラーが出力され、サンプル生成の準備が整った状態で提供されます。 | `SAMPLER` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDpmpp2mSde/ja.md) diff --git a/ja/built-in-nodes/SamplerDpmppSde.mdx b/ja/built-in-nodes/SamplerDpmppSde.mdx index 80bc9f0dd..c5cd1a190 100644 --- a/ja/built-in-nodes/SamplerDpmppSde.mdx +++ b/ja/built-in-nodes/SamplerDpmppSde.mdx @@ -5,21 +5,21 @@ sidebarTitle: "SamplerDpmppSde" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDpmppSde/ja.md) - このノードは、DPM++ SDE（確率微分方程式）モデル用のサンプラーを生成するために設計されています。CPUとGPUの両方の実行環境に対応し、利用可能なハードウェアに基づいてサンプラーの実装を最適化します。 ## 入力 -| パラメータ | データ型 | 説明 | -|----------------|-------------|-------------| -| `eta` | FLOAT | SDEソルバーのステップサイズを指定し、サンプリング処理の粒度に影響を与えます。 | -| `s_noise` | FLOAT | サンプリング処理中に適用されるノイズのレベルを決定し、生成されるサンプルの多様性に影響を与えます。 | -| `r` | FLOAT | サンプリング処理におけるノイズ低減の比率を制御し、生成されるサンプルの明瞭さと品質に影響を与えます。 | -| `noise_device` | COMBO[STRING] | サンプラーの実行環境（CPUまたはGPU）を選択し、利用可能なハードウェアに基づいてパフォーマンスを最適化します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `eta` | SDEソルバーのステップサイズを指定し、サンプリング処理の粒度に影響を与えます。 | FLOAT | +| `s_noise` | サンプリング処理中に適用されるノイズのレベルを決定し、生成されるサンプルの多様性に影響を与えます。 | FLOAT | +| `r` | サンプリング処理におけるノイズ低減の比率を制御し、生成されるサンプルの明瞭さと品質に影響を与えます。 | FLOAT | +| `noise_device` | サンプラーの実行環境（CPUまたはGPU）を選択し、利用可能なハードウェアに基づいてパフォーマンスを最適化します。 | COMBO[STRING] | ## 出力 -| パラメータ | データ型 | 説明 | -|----------------|-------------|-------------| -| `sampler` | SAMPLER | 指定されたパラメータで構成された生成済みサンプラーであり、サンプリング操作ですぐに使用できます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | 指定されたパラメータで構成された生成済みサンプラーであり、サンプリング操作ですぐに使用できます。 | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDpmppSde/ja.md) diff --git a/ja/built-in-nodes/SamplerER_SDE.mdx b/ja/built-in-nodes/SamplerER_SDE.mdx index 8150b27df..272e7f713 100644 --- a/ja/built-in-nodes/SamplerER_SDE.mdx +++ b/ja/built-in-nodes/SamplerER_SDE.mdx @@ -5,19 +5,17 @@ sidebarTitle: "SamplerER_SDE" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerER_SDE/ja.md) - ## 概要 SamplerER_SDE ノードは、拡散モデル向けの特殊なサンプリング手法を提供し、ER-SDE、Reverse-time SDE、ODE といった異なるソルバータイプを備えています。サンプリングプロセスにおける確率的挙動と計算段階を制御できます。このノードは、選択されたソルバータイプに基づいてパラメータを自動調整し、適切な機能を保証します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `solver_type` | COMBO | はい | "ER-SDE"
"Reverse-time SDE"
"ODE" | サンプリングに使用するソルバーの種類。拡散プロセスの数学的アプローチを決定します。 | -| `max_stage` | INT | いいえ | 1-3 | サンプリングプロセスの最大ステージ数（デフォルト：3）。計算の複雑さと品質を制御します。 | -| `eta` | FLOAT | いいえ | 0.0-100.0 | Reverse-time SDE の確率的強度（デフォルト：1.0）。eta=0 の場合、決定論的 ODE に縮退します。この設定は ER-SDE ソルバータイプには適用されません。 | -| `s_noise` | FLOAT | いいえ | 0.0-100.0 | サンプリングプロセスにおけるノイズスケーリング係数（デフォルト：1.0）。サンプリング中に適用されるノイズ量を制御します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `solver_type` | サンプリングに使用するソルバーの種類。拡散プロセスの数学的アプローチを決定します。 | COMBO | はい | "ER-SDE"
"Reverse-time SDE"
"ODE" | +| `max_stage` | サンプリングプロセスの最大ステージ数（デフォルト：3）。計算の複雑さと品質を制御します。 | INT | いいえ | 1-3 | +| `eta` | Reverse-time SDE の確率的強度（デフォルト：1.0）。eta=0 の場合、決定論的 ODE に縮退します。この設定は ER-SDE ソルバータイプには適用されません。 | FLOAT | いいえ | 0.0-100.0 | +| `s_noise` | サンプリングプロセスにおけるノイズスケーリング係数（デフォルト：1.0）。サンプリング中に適用されるノイズ量を制御します。 | FLOAT | いいえ | 0.0-100.0 | **パラメータ制約：** @@ -26,9 +24,11 @@ SamplerER_SDE ノードは、拡散モデル向けの特殊なサンプリング ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | 指定されたソルバー設定でサンプリングパイプラインで使用できる、設定済みのサンプラーオブジェクト。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | 指定されたソルバー設定でサンプリングパイプラインで使用できる、設定済みのサンプラーオブジェクト。 | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerER_SDE/ja.md) --- **Source fingerprint (SHA-256):** `bc24ec3c5dc645aebf55ef3392c5f4a40dcf0461b4b77731e8fe7ff397dcfadf` diff --git a/ja/built-in-nodes/SamplerEulerAncestral.mdx b/ja/built-in-nodes/SamplerEulerAncestral.mdx index 7dfd83718..c7197e220 100644 --- a/ja/built-in-nodes/SamplerEulerAncestral.mdx +++ b/ja/built-in-nodes/SamplerEulerAncestral.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SamplerEulerAncestral" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestral/ja.md) - SamplerEulerAncestral ノードは、画像生成のためのEuler Ancestralサンプラーを作成します。このサンプラーは、オイラー積分と祖先サンプリング手法を組み合わせた特定の数学的アプローチを使用して、画像のバリエーションを生成します。このノードでは、生成プロセス中のランダム性とステップサイズを制御するパラメータを調整することで、サンプリング動作を設定できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | いいえ | 0.0 - 100.0 | サンプリングプロセスのステップサイズと確率性を制御します（デフォルト: 1.0）。これは高度なパラメータです。 | -| `s_noise` | FLOAT | いいえ | 0.0 - 100.0 | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0）。これは高度なパラメータです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `eta` | サンプリングプロセスのステップサイズと確率性を制御します（デフォルト: 1.0）。これは高度なパラメータです。 | FLOAT | いいえ | 0.0 - 100.0 | +| `s_noise` | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0）。これは高度なパラメータです。 | FLOAT | いいえ | 0.0 - 100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | サンプリングパイプラインで使用できる、設定済みのEuler Ancestralサンプラーを返します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | サンプリングパイプラインで使用できる、設定済みのEuler Ancestralサンプラーを返します。 | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestral/ja.md) --- **Source fingerprint (SHA-256):** `4d167de55f003383ccbb4a53daa14496bd931589781d56b62bf282a811669670` diff --git a/ja/built-in-nodes/SamplerEulerAncestralCFGPP.mdx b/ja/built-in-nodes/SamplerEulerAncestralCFGPP.mdx index 3c8224a04..d5d30c1c8 100644 --- a/ja/built-in-nodes/SamplerEulerAncestralCFGPP.mdx +++ b/ja/built-in-nodes/SamplerEulerAncestralCFGPP.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SamplerEulerAncestralCFGPP" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/ja.md) - SamplerEulerAncestralCFGPP ノードは、画像生成のために分類器フリーガイダンス（CFG++）を組み合わせたオイラー祖先法を使用するサンプラーを作成します。このサンプラーは、祖先サンプリング技術とガイダンス条件付けを組み合わせることで、多様な画像バリエーションを生成しつつ一貫性を維持し、ノイズとステップサイズの調整を制御するパラメータを通じて微調整を可能にします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | はい | 0.0 - 1.0 | サンプリング中のステップサイズを制御します。値が大きいほどより積極的な更新が行われます（デフォルト：1.0） | -| `s_noise` | FLOAT | はい | 0.0 - 10.0 | サンプリングプロセス中に追加されるノイズの量を調整します（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `eta` | サンプリング中のステップサイズを制御します。値が大きいほどより積極的な更新が行われます（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | +| `s_noise` | サンプリングプロセス中に追加されるノイズの量を調整します（デフォルト：1.0） | FLOAT | はい | 0.0 - 10.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | 画像生成パイプラインで使用できる設定済みのサンプラーオブジェクトを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | 画像生成パイプラインで使用できる設定済みのサンプラーオブジェクトを返します | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/ja.md) --- **Source fingerprint (SHA-256):** `7eceec539a6a045db4d9953214add17011ef9d17e663dbbbbbb2bae0cbe40aa2` diff --git a/ja/built-in-nodes/SamplerEulerCFGpp.mdx b/ja/built-in-nodes/SamplerEulerCFGpp.mdx index 7ed2bad99..b22fe51f4 100644 --- a/ja/built-in-nodes/SamplerEulerCFGpp.mdx +++ b/ja/built-in-nodes/SamplerEulerCFGpp.mdx @@ -5,8 +5,6 @@ sidebarTitle: "SamplerEulerCFGpp" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerCFGpp/ja.md) - 以下が翻訳結果です。 --- @@ -15,15 +13,17 @@ SamplerEulerCFGppノードは、出力を生成するためのEuler CFG++サン ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `バージョン` | STRING | はい | `"regular"`
`"alternative"` | 使用するEuler CFG++サンプラーの実装バージョン（デフォルト："regular"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `バージョン` | 使用するEuler CFG++サンプラーの実装バージョン（デフォルト："regular"） | STRING | はい | `"regular"`
`"alternative"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | 設定済みのEuler CFG++サンプラーインスタンスを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | 設定済みのEuler CFG++サンプラーインスタンスを返します | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerCFGpp/ja.md) --- **Source fingerprint (SHA-256):** `f01732fc39a76fca697aaddefc8cec58d54ba9761eb8d93da806ddd162d42513` diff --git a/ja/built-in-nodes/SamplerLCM.mdx b/ja/built-in-nodes/SamplerLCM.mdx index 61b1a69e3..0254aa74f 100644 --- a/ja/built-in-nodes/SamplerLCM.mdx +++ b/ja/built-in-nodes/SamplerLCM.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SamplerLCM" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/ja.md) - SamplerLCMノードは、調整可能なステップごとのノイズパラメータを備えたLCM（潜在整合性モデル）サンプラーを提供します。各サンプリングステップで適用されるノイズを制御できるため、サンプリングプロセスを細かく調整することが可能です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `s_noise` | FLOAT | はい | 0.0～64.0（ステップ：0.01） | 最初のステップにおけるステップごとのノイズ乗数。値1.0はモデルの学習ノイズスケールに一致します。（デフォルト：1.0） | -| `s_noise_end` | FLOAT | はい | 0.0～64.0（ステップ：0.01） | 最後のステップにおけるステップごとのノイズ乗数。一定のノイズスケジュールにするには、`s_noise`と同じ値を設定します。（デフォルト：1.0） | -| `noise_clip_std` | FLOAT | はい | 0.0～10.0（ステップ：0.01） | ステップごとのノイズを±N標準偏差の範囲内に制限します。値0は制限を無効にします。（デフォルト：0.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `s_noise` | 最初のステップにおけるステップごとのノイズ乗数。値1.0はモデルの学習ノイズスケールに一致します。（デフォルト：1.0） | FLOAT | はい | 0.0～64.0（ステップ：0.01） | +| `s_noise_end` | 最後のステップにおけるステップごとのノイズ乗数。一定のノイズスケジュールにするには、`s_noise`と同じ値を設定します。（デフォルト：1.0） | FLOAT | はい | 0.0～64.0（ステップ：0.01） | +| `noise_clip_std` | ステップごとのノイズを±N標準偏差の範囲内に制限します。値0は制限を無効にします。（デフォルト：0.0） | FLOAT | はい | 0.0～10.0（ステップ：0.01） | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `SAMPLER` | SAMPLER | 設定済みのLCMサンプラーオブジェクト。サンプリングワークフローで使用する準備が整っています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `SAMPLER` | 設定済みのLCMサンプラーオブジェクト。サンプリングワークフローで使用する準備が整っています。 | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/ja.md) --- **Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98` diff --git a/ja/built-in-nodes/SamplerLCMUpscale.mdx b/ja/built-in-nodes/SamplerLCMUpscale.mdx index fc24aaee8..022700bc2 100644 --- a/ja/built-in-nodes/SamplerLCMUpscale.mdx +++ b/ja/built-in-nodes/SamplerLCMUpscale.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SamplerLCMUpscale" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCMUpscale/ja.md) - SamplerLCMUpscale ノードは、潜在整合性モデル（LCM）サンプリングと画像アップスケーリング機能を組み合わせた、特殊なサンプリング手法を提供します。このノードを使用すると、サンプリング処理中に様々な補間方式を用いて画像をアップスケールでき、画質を維持しながら高解像度の出力を生成するのに役立ちます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `スケール比` | FLOAT | いいえ | 0.1 - 20.0 | アップスケーリング時に適用する倍率（デフォルト：1.0） | -| `スケールステップ` | INT | いいえ | -1 - 1000 | アップスケーリング処理に使用するステップ数。自動計算する場合は -1 を指定します（デフォルト：-1） | -| `アップスケール方法` | COMBO | はい | "bislerp"
"nearest-exact"
"bilinear"
"area"
"bicubic" | 画像のアップスケーリングに使用する補間方式 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `スケール比` | アップスケーリング時に適用する倍率（デフォルト：1.0） | FLOAT | いいえ | 0.1 - 20.0 | +| `スケールステップ` | アップスケーリング処理に使用するステップ数。自動計算する場合は -1 を指定します（デフォルト：-1） | INT | いいえ | -1 - 1000 | +| `アップスケール方法` | 画像のアップスケーリングに使用する補間方式 | COMBO | はい | "bislerp"
"nearest-exact"
"bilinear"
"area"
"bicubic" | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | サンプリングパイプラインで使用可能な、設定済みのサンプラーオブジェクトを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | サンプリングパイプラインで使用可能な、設定済みのサンプラーオブジェクトを返します | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCMUpscale/ja.md) --- **Source fingerprint (SHA-256):** `fe0d4c8676454a9e8ecf4bb4e149c9b5e22083322447749116d624984d75e73c` diff --git a/ja/built-in-nodes/SamplerLMS.mdx b/ja/built-in-nodes/SamplerLMS.mdx index 57ff22a92..92ff5c279 100644 --- a/ja/built-in-nodes/SamplerLMS.mdx +++ b/ja/built-in-nodes/SamplerLMS.mdx @@ -5,21 +5,21 @@ sidebarTitle: "SamplerLMS" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLMS/ja.md) - SamplerLMSノードは、拡散モデルで使用するための最小二乗平均（LMS）サンプラーを作成します。このノードは、サンプリングプロセスで使用可能なサンプラーオブジェクトを生成し、数値的な安定性と精度を確保するためにLMSアルゴリズムの次数を制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `順序` | INT | はい | 1～100 | LMSサンプラーアルゴリズムの次数パラメーターです。数値的手法の精度と安定性を制御します（デフォルト：4） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `順序` | LMSサンプラーアルゴリズムの次数パラメーターです。数値的手法の精度と安定性を制御します（デフォルト：4） | INT | はい | 1～100 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | サンプリングパイプラインで使用できる、設定済みのLMSサンプラーオブジェクト | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | サンプリングパイプラインで使用できる、設定済みのLMSサンプラーオブジェクト | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLMS/ja.md) --- **Source fingerprint (SHA-256):** `0c045ef15890fe611dc0b9d455bafa313d28373a29c881a0c8bf5d80e69bc114` diff --git a/ja/built-in-nodes/SamplerSASolver.mdx b/ja/built-in-nodes/SamplerSASolver.mdx index 868c31fd8..7290678ee 100644 --- a/ja/built-in-nodes/SamplerSASolver.mdx +++ b/ja/built-in-nodes/SamplerSASolver.mdx @@ -5,31 +5,31 @@ sidebarTitle: "SamplerSASolver" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSASolver/ja.md) - 以下が翻訳結果です。 **SamplerSASolver** ノードは、拡散モデル向けのカスタムサンプリングアルゴリズムを実装します。予測子・修正子アプローチと、設定可能な次数設定および確率微分方程式（SDE）パラメータを使用して、入力モデルからサンプルを生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `model` | MODEL | はい | - | サンプリングに使用する拡散モデル | -| `eta` | FLOAT | いいえ | 0.0 - 10.0 | ステップサイズのスケーリング係数を制御します（デフォルト: 1.0） | -| `sde_start_percent` | FLOAT | いいえ | 0.0 - 1.0 | SDEサンプリングの開始割合（デフォルト: 0.2） | -| `sde_end_percent` | FLOAT | いいえ | 0.0 - 1.0 | SDEサンプリングの終了割合（デフォルト: 0.8） | -| `s_noise` | FLOAT | いいえ | 0.0 - 100.0 | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0） | -| `predictor_order` | INT | いいえ | 1 - 6 | ソルバーにおける予測子コンポーネントの次数（デフォルト: 3） | -| `corrector_order` | INT | いいえ | 0 - 6 | ソルバーにおける修正子コンポーネントの次数（デフォルト: 4） | -| `use_pece` | BOOLEAN | いいえ | - | PECE（予測・評価・修正・評価）法を有効または無効にします | -| `simple_order_2` | BOOLEAN | いいえ | - | 簡略化された2次計算を有効または無効にします | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | サンプリングに使用する拡散モデル | MODEL | はい | - | +| `eta` | ステップサイズのスケーリング係数を制御します（デフォルト: 1.0） | FLOAT | いいえ | 0.0 - 10.0 | +| `sde_start_percent` | SDEサンプリングの開始割合（デフォルト: 0.2） | FLOAT | いいえ | 0.0 - 1.0 | +| `sde_end_percent` | SDEサンプリングの終了割合（デフォルト: 0.8） | FLOAT | いいえ | 0.0 - 1.0 | +| `s_noise` | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0） | FLOAT | いいえ | 0.0 - 100.0 | +| `predictor_order` | ソルバーにおける予測子コンポーネントの次数（デフォルト: 3） | INT | いいえ | 1 - 6 | +| `corrector_order` | ソルバーにおける修正子コンポーネントの次数（デフォルト: 4） | INT | いいえ | 0 - 6 | +| `use_pece` | PECE（予測・評価・修正・評価）法を有効または無効にします | BOOLEAN | いいえ | - | +| `simple_order_2` | 簡略化された2次計算を有効または無効にします | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `sampler` | SAMPLER | 拡散モデルで使用できる設定済みのサンプラーオブジェクト | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | 拡散モデルで使用できる設定済みのサンプラーオブジェクト | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSASolver/ja.md) --- **Source fingerprint (SHA-256):** `3de8834281c09d0bd1435e29f0c9ae540a2ea42db142277d07cb655ccf814873` diff --git a/ja/built-in-nodes/SamplerSEEDS2.mdx b/ja/built-in-nodes/SamplerSEEDS2.mdx index 59234729e..9019d41c5 100644 --- a/ja/built-in-nodes/SamplerSEEDS2.mdx +++ b/ja/built-in-nodes/SamplerSEEDS2.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SamplerSEEDS2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSEEDS2/ja.md) - このノードは、画像生成のための設定可能なサンプラーを提供します。確率的微分方程式（SDE）ソルバーであるSEEDS-2アルゴリズムを実装しています。パラメータを調整することで、`seeds_2`、`exp_heun_2_x0`、`exp_heun_2_x0_sde`などの特定のサンプラーと同様の動作に設定できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `solver_type` | COMBO | はい | `"phi_1"`
`"phi_2"` | サンプラーの基盤となるソルバーアルゴリズムを選択します。 | -| `eta` | FLOAT | いいえ | 0.0 - 100.0 | 確率的強度（デフォルト：1.0）。 | -| `s_noise` | FLOAT | いいえ | 0.0 - 100.0 | SDEノイズ乗数（デフォルト：1.0）。 | -| `r` | FLOAT | いいえ | 0.01 - 1.0 | 中間段階（c2ノード）の相対ステップサイズ（デフォルト：0.5）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `solver_type` | サンプラーの基盤となるソルバーアルゴリズムを選択します。 | COMBO | はい | `"phi_1"`
`"phi_2"` | +| `eta` | 確率的強度（デフォルト：1.0）。 | FLOAT | いいえ | 0.0 - 100.0 | +| `s_noise` | SDEノイズ乗数（デフォルト：1.0）。 | FLOAT | いいえ | 0.0 - 100.0 | +| `r` | 中間段階（c2ノード）の相対ステップサイズ（デフォルト：0.5）。 | FLOAT | いいえ | 0.01 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sampler` | SAMPLER | 他のサンプリングノードに渡すことができる、設定済みのサンプラーオブジェクト。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sampler` | 他のサンプリングノードに渡すことができる、設定済みのサンプラーオブジェクト。 | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSEEDS2/ja.md) --- **Source fingerprint (SHA-256):** `13cfc064dab8b77dbdfdc27238130bdf3dc6c1eca47110f4a7f7d6b8c2866b90` diff --git a/ja/built-in-nodes/SamplingPercentToSigma.mdx b/ja/built-in-nodes/SamplingPercentToSigma.mdx index b38dbb332..f3c2c65db 100644 --- a/ja/built-in-nodes/SamplingPercentToSigma.mdx +++ b/ja/built-in-nodes/SamplingPercentToSigma.mdx @@ -5,8 +5,6 @@ sidebarTitle: "SamplingPercentToSigma" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplingPercentToSigma/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,17 +12,19 @@ SamplingPercentToSigma ノードは、モデルのサンプリングパラメー ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 変換に使用するサンプリングパラメータを含むモデル | -| `sampling_percent` | FLOAT | はい | 0.0 から 1.0 | シグマに変換するサンプリングパーセンテージ（デフォルト: 0.0） | -| `return_actual_sigma` | BOOLEAN | はい | - | 間隔チェックに使用される値ではなく、実際のシグマ値を返します。これは 0.0 および 1.0 の結果にのみ影響します。（デフォルト: False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 変換に使用するサンプリングパラメータを含むモデル | MODEL | はい | - | +| `sampling_percent` | シグマに変換するサンプリングパーセンテージ（デフォルト: 0.0） | FLOAT | はい | 0.0 から 1.0 | +| `return_actual_sigma` | 間隔チェックに使用される値ではなく、実際のシグマ値を返します。これは 0.0 および 1.0 の結果にのみ影響します。（デフォルト: False） | BOOLEAN | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `sigma_value` | FLOAT | 入力されたサンプリングパーセンテージに対応する変換後のシグマ値 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `sigma_value` | 入力されたサンプリングパーセンテージに対応する変換後のシグマ値 | FLOAT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplingPercentToSigma/ja.md) --- **Source fingerprint (SHA-256):** `88ecea0528dfeff75248a8dfee8381e1f73d1a2d9ee3e7f8e37fef0f2b2499ec` diff --git a/ja/built-in-nodes/SaveAnimatedPNG.mdx b/ja/built-in-nodes/SaveAnimatedPNG.mdx index c75f3fba2..6e7a0cd8c 100644 --- a/ja/built-in-nodes/SaveAnimatedPNG.mdx +++ b/ja/built-in-nodes/SaveAnimatedPNG.mdx @@ -5,21 +5,21 @@ sidebarTitle: "SaveAnimatedPNG" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAnimatedPNG/ja.md) - SaveAnimatedPNGノードは、フレームシーケンスからアニメーションPNG画像を作成および保存するために設計されています。個々の画像フレームをまとめて一貫性のあるアニメーションに組み立て、フレームの表示時間、ループ設定、メタデータの包含をカスタマイズできます。 ## 入力 -| フィールド | データ型 | 説明 | -|-------------------|-------------|---------------------------------------------------------------------| -| `画像` | `IMAGE` | アニメーションPNGとして処理および保存される画像のリスト。リスト内の各画像はアニメーションの1フレームを表します。 | -| `ファイル名プレフィックス` | `STRING` | 出力ファイルのベース名を指定します。生成されるアニメーションPNGファイルのプレフィックスとして使用されます。 | -| `fps` | `FLOAT` | アニメーションのフレームレート（1秒あたりのフレーム数）で、フレームの表示速度を制御します。 | -| `圧縮レベル` | `INT` | アニメーションPNGファイルに適用される圧縮レベルで、ファイルサイズと画像の鮮明さに影響します。 | +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | アニメーションPNGとして処理および保存される画像のリスト。リスト内の各画像はアニメーションの1フレームを表します。 | `IMAGE` | +| `ファイル名プレフィックス` | 出力ファイルのベース名を指定します。生成されるアニメーションPNGファイルのプレフィックスとして使用されます。 | `STRING` | +| `fps` | アニメーションのフレームレート（1秒あたりのフレーム数）で、フレームの表示速度を制御します。 | `FLOAT` | +| `圧縮レベル` | アニメーションPNGファイルに適用される圧縮レベルで、ファイルサイズと画像の鮮明さに影響します。 | `INT` | ## 出力 -| フィールド | データ型 | 説明 | -|---------|-------------|---------------------------------------------------------------------| -| `ui` | N/A | 生成されたアニメーションPNG画像を表示し、アニメーションが単一フレームか複数フレームかを示すUIコンポーネントを提供します。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `ui` | 生成されたアニメーションPNG画像を表示し、アニメーションが単一フレームか複数フレームかを示すUIコンポーネントを提供します。 | N/A | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAnimatedPNG/ja.md) diff --git a/ja/built-in-nodes/SaveAnimatedWEBP.mdx b/ja/built-in-nodes/SaveAnimatedWEBP.mdx index 69084c45f..a96a49eef 100644 --- a/ja/built-in-nodes/SaveAnimatedWEBP.mdx +++ b/ja/built-in-nodes/SaveAnimatedWEBP.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SaveAnimatedWEBP" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAnimatedWEBP/ja.md) - このノードは、一連の画像をアニメーションWEBPファイルとして保存するために設計されています。個々のフレームを統合して一貫性のあるアニメーションにまとめ、指定されたメタデータを適用し、品質と圧縮設定に基づいて出力を最適化します。 ## 入力 -| フィールド | データ型 | 説明 | -|-------------------|-------------|---------------------------------------------------------------------------------------| -| `画像` | `IMAGE` | アニメーションWEBPのフレームとして保存される画像のリストです。このパラメータは、アニメーションの視覚コンテンツを定義するために不可欠です。 | -| `ファイル名プレフィックス` | `STRING` | 出力ファイルのベース名を指定します。これにカウンターと「.webp」拡張子が付加されます。このパラメータは、保存されたファイルの識別と整理に重要です。 | -| `fps` | `FLOAT` | アニメーションのフレームレート（1秒あたりのフレーム数）で、再生速度に影響を与えます。 | -| `ロスレス` | `BOOLEAN` | ロスレス圧縮を使用するかどうかを示すブール値で、アニメーションのファイルサイズと品質に影響を与えます。 | -| `品質` | `INT` | 0から100の間の値で圧縮品質レベルを設定します。値が高いほど画質は向上しますが、ファイルサイズは大きくなります。 | -| `方法` | COMBO[STRING] | 使用する圧縮方法を指定します。エンコード速度とファイルサイズに影響を与える可能性があります。 | +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `画像` | アニメーションWEBPのフレームとして保存される画像のリストです。このパラメータは、アニメーションの視覚コンテンツを定義するために不可欠です。 | `IMAGE` | +| `ファイル名プレフィックス` | 出力ファイルのベース名を指定します。これにカウンターと「.webp」拡張子が付加されます。このパラメータは、保存されたファイルの識別と整理に重要です。 | `STRING` | +| `fps` | アニメーションのフレームレート（1秒あたりのフレーム数）で、再生速度に影響を与えます。 | `FLOAT` | +| `ロスレス` | ロスレス圧縮を使用するかどうかを示すブール値で、アニメーションのファイルサイズと品質に影響を与えます。 | `BOOLEAN` | +| `品質` | 0から100の間の値で圧縮品質レベルを設定します。値が高いほど画質は向上しますが、ファイルサイズは大きくなります。 | `INT` | +| `方法` | 使用する圧縮方法を指定します。エンコード速度とファイルサイズに影響を与える可能性があります。 | COMBO[STRING] | ## 出力 -| フィールド | データ型 | 説明 | -|-------|-------------|---------------------------------------------------------------------------------------| -| `ui` | N/A | 保存されたアニメーションWEBP画像とそのメタデータを表示するUIコンポーネントを提供し、アニメーションが有効かどうかを示します。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `ui` | 保存されたアニメーションWEBP画像とそのメタデータを表示するUIコンポーネントを提供し、アニメーションが有効かどうかを示します。 | N/A | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAnimatedWEBP/ja.md) diff --git a/ja/built-in-nodes/SaveAudio.mdx b/ja/built-in-nodes/SaveAudio.mdx index 76dc949da..490c5457c 100644 --- a/ja/built-in-nodes/SaveAudio.mdx +++ b/ja/built-in-nodes/SaveAudio.mdx @@ -5,8 +5,6 @@ sidebarTitle: "SaveAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudio/ja.md) - 以下が翻訳結果です。 --- @@ -15,18 +13,20 @@ SaveAudioノードは、オーディオデータをFLAC形式のファイルに ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `オーディオ` | AUDIO | はい | - | 保存するオーディオデータ | -| `ファイル名_プレフィックス` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："audio/ComfyUI"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `オーディオ` | 保存するオーディオデータ | AUDIO | はい | - | +| `ファイル名_プレフィックス` | 出力ファイル名のプレフィックス（デフォルト："audio/ComfyUI"） | STRING | いいえ | - | *注：`prompt` および `extra_pnginfo` パラメータは非表示であり、システムによって自動的に処理されます。* ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| *なし* | - | このノードは出力データを返しませんが、オーディオファイルを出力ディレクトリに保存します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| *なし* | このノードは出力データを返しませんが、オーディオファイルを出力ディレクトリに保存します | - | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudio/ja.md) --- **Source fingerprint (SHA-256):** `16242dfc45d0f2808a5615e9c1bfe4de4d19e2f5f6b28370f631439021dc72e5` diff --git a/ja/built-in-nodes/SaveAudioAdvanced.mdx b/ja/built-in-nodes/SaveAudioAdvanced.mdx new file mode 100644 index 000000000..23d79faf8 --- /dev/null +++ b/ja/built-in-nodes/SaveAudioAdvanced.mdx @@ -0,0 +1,33 @@ +--- +title: "SaveAudioAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveAudioAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveAudioAdvanced" +icon: "circle" +mode: wide +--- +# Save Audio (Advanced)（音声保存（詳細）） + +入力された音声をComfyUIの出力ディレクトリに保存します。このノードを使用すると、FLAC、MP3、Opusなど様々な形式で、品質設定を構成可能な状態で音声をエクスポートできます。 + +## 入力（Inputs） + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `audio` | 保存する音声です。 | AUDIO | はい | - | +| `filename_prefix` | 保存するファイルのプレフィックスです。%date:yyyy-MM-dd% などのフォーマットトークンを含めることができます。（デフォルト："audio/ComfyUI"） | STRING | はい | - | +| `format` | 音声を保存するファイル形式です。 | COMBO | はい | "flac"
"mp3"
"opus" | + +形式として"mp3"が選択された場合、`quality`サブパラメータが使用可能になり、以下のオプションから選択できます："V0"、"128k"、"320k"（デフォルト："V0"）。 + +形式として"opus"が選択された場合、`quality`サブパラメータが使用可能になり、以下のオプションから選択できます："64k"、"96k"、"128k"、"192k"、"320k"（デフォルト："128k"）。 + +## 出力（Outputs） + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `ui` | 保存された音声ファイル情報を含むUI出力です。 | UI | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioAdvanced/ja.md) + +--- +**Source fingerprint (SHA-256):** `98314263dd84c562e7c02ba89f3d10551fcb898ac784af2aa397ca8357e4aae8` diff --git a/ja/built-in-nodes/SaveAudioMP3.mdx b/ja/built-in-nodes/SaveAudioMP3.mdx index a29a648f3..fbcac127b 100644 --- a/ja/built-in-nodes/SaveAudioMP3.mdx +++ b/ja/built-in-nodes/SaveAudioMP3.mdx @@ -5,25 +5,25 @@ sidebarTitle: "SaveAudioMP3" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioMP3/ja.md) - SaveAudioMP3 ノードは、オーディオデータを MP3 ファイルとして保存します。このノードはオーディオ入力を受け取り、カスタマイズ可能なファイル名と品質設定を使用して、指定された出力ディレクトリにエクスポートします。ノードは自動的にファイル名の処理とフォーマット変換を行い、再生可能な MP3 ファイルを作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | はい | - | MP3 ファイルとして保存するオーディオデータ | -| `filename_prefix` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："audio/ComfyUI"） | -| `quality` | STRING | いいえ | "V0"
"128k"
"320k" | MP3 ファイルのオーディオ品質設定（デフォルト："V0"） | -| `prompt` | PROMPT | いいえ | - | 内部プロンプトデータ（システムによって自動的に提供されます） | -| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | 追加の PNG 情報（システムによって自動的に提供されます） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `audio` | MP3 ファイルとして保存するオーディオデータ | AUDIO | はい | - | +| `filename_prefix` | 出力ファイル名のプレフィックス（デフォルト："audio/ComfyUI"） | STRING | いいえ | - | +| `quality` | MP3 ファイルのオーディオ品質設定（デフォルト："V0"） | STRING | いいえ | "V0"
"128k"
"320k" | +| `prompt` | 内部プロンプトデータ（システムによって自動的に提供されます） | PROMPT | いいえ | - | +| `extra_pnginfo` | 追加の PNG 情報（システムによって自動的に提供されます） | EXTRA_PNGINFO | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| *なし* | - | このノードは出力データを返しませんが、オーディオファイルを出力ディレクトリに保存します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| *なし* | このノードは出力データを返しませんが、オーディオファイルを出力ディレクトリに保存します | - | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioMP3/ja.md) --- **Source fingerprint (SHA-256):** `70b960cc9c86ad9a4c98e643f40e6caaafdeb9840ac72a5f8e59533fd6120e3e` diff --git a/ja/built-in-nodes/SaveAudioOpus.mdx b/ja/built-in-nodes/SaveAudioOpus.mdx index a42473ddb..8a2db0a24 100644 --- a/ja/built-in-nodes/SaveAudioOpus.mdx +++ b/ja/built-in-nodes/SaveAudioOpus.mdx @@ -5,25 +5,25 @@ sidebarTitle: "SaveAudioOpus" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioOpus/ja.md) - 以下が翻訳結果です。 SaveAudioOpus ノードは、オーディオデータを Opus 形式のファイルに保存します。オーディオ入力を受け取り、設定可能な品質設定で圧縮された Opus ファイルとして出力します。このノードはファイル名を自動的に処理し、指定された出力ディレクトリに出力を保存します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `audio` | AUDIO | はい | - | Opus ファイルとして保存するオーディオデータ | -| `filename_prefix` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："audio/ComfyUI"） | -| `quality` | COMBO | いいえ | "64k"
"96k"
"128k"
"192k"
"320k" | Opus ファイルのオーディオ品質設定（デフォルト："128k"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `audio` | Opus ファイルとして保存するオーディオデータ | AUDIO | はい | - | +| `filename_prefix` | 出力ファイル名のプレフィックス（デフォルト："audio/ComfyUI"） | STRING | いいえ | - | +| `quality` | Opus ファイルのオーディオ品質設定（デフォルト："128k"） | COMBO | いいえ | "64k"
"96k"
"128k"
"192k"
"320k" | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| - | - | このノードは出力値を返しません。主な機能として、オーディオファイルをディスクに保存します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| - | このノードは出力値を返しません。主な機能として、オーディオファイルをディスクに保存します。 | - | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioOpus/ja.md) --- **Source fingerprint (SHA-256):** `87c3b1b85ca51b79d43c8486eeb2de7b074faa11c4da2bff7b8931a3049560e2` diff --git a/ja/built-in-nodes/SaveGLB.mdx b/ja/built-in-nodes/SaveGLB.mdx index 66d6571b2..4b5243844 100644 --- a/ja/built-in-nodes/SaveGLB.mdx +++ b/ja/built-in-nodes/SaveGLB.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SaveGLB" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveGLB/ja.md) - SaveGLBノードは、3Dメッシュデータまたは3Dファイルを出力ディレクトリに保存します。メッシュデータやさまざまな3Dファイル形式（GLB、GLTF、OBJ、FBX、STL、USDZ）を受け入れ、指定されたファイル名プレフィックスでエクスポートします。メッシュデータを保存する際には、複数のメッシュを処理でき、メタデータが有効な場合にはファイルにワークフローメタデータが自動的に追加されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `メッシュ` | MESH または FILE3D | はい | - | 保存するメッシュまたは3Dファイル。メッシュデータ、またはGLB、GLTF、OBJ、FBX、STL、USDZを含む3Dファイル形式を受け入れます | -| `ファイル名のプレフィックス` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："3d/ComfyUI"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `メッシュ` | 保存するメッシュまたは3Dファイル。メッシュデータ、またはGLB、GLTF、OBJ、FBX、STL、USDZを含む3Dファイル形式を受け入れます | MESH または FILE3D | はい | - | +| `ファイル名のプレフィックス` | 出力ファイル名のプレフィックス（デフォルト："3d/ComfyUI"） | STRING | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ui` | UI | 保存された3Dファイルを、ファイル名、サブフォルダ、およびタイプ情報とともにユーザーインターフェースに表示します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ui` | 保存された3Dファイルを、ファイル名、サブフォルダ、およびタイプ情報とともにユーザーインターフェースに表示します | UI | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveGLB/ja.md) --- **Source fingerprint (SHA-256):** `bd36600185aeb793cd4e9f37f3b4464267cb36f451fdcf71aff83077bb8c3f53` diff --git a/ja/built-in-nodes/SaveImage.mdx b/ja/built-in-nodes/SaveImage.mdx index 836147536..bc72520fd 100644 --- a/ja/built-in-nodes/SaveImage.mdx +++ b/ja/built-in-nodes/SaveImage.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SaveImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImage/ja.md) - SaveImageノードは、受け取った画像を`ComfyUI/output`ディレクトリに保存します。各画像はPNGファイルとして保存され、プロンプトなどのワークフローメタデータを保存ファイルに埋め込むことで、後で参照できるようにします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 保存する画像です。 | -| `ファイル名_プレフィックス` | STRING | はい | - | 保存するファイルのプレフィックスです。`%date:yyyy-MM-dd%` や `%Empty Latent Image.width%` などのフォーマット情報を含めて、ノードの値を埋め込むことができます（デフォルト："ComfyUI"）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 保存する画像です。 | IMAGE | はい | - | +| `ファイル名_プレフィックス` | 保存するファイルのプレフィックスです。`%date:yyyy-MM-dd%` や `%Empty Latent Image.width%` などのフォーマット情報を含めて、ノードの値を埋め込むことができます（デフォルト："ComfyUI"）。 | STRING | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ui` | UI_RESULT | このノードは、保存された画像のリスト（ファイル名とサブフォルダを含む）を含むUI結果を出力します。他のノードに接続するためのデータは出力しません。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ui` | このノードは、保存された画像のリスト（ファイル名とサブフォルダを含む）を含むUI結果を出力します。他のノードに接続するためのデータは出力しません。 | UI_RESULT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImage/ja.md) --- **Source fingerprint (SHA-256):** `fa88c26e5e03f788dcc545434a54124c5e9d03b559da67f0857b52faec0e97e7` diff --git a/ja/built-in-nodes/SaveImageAdvanced.mdx b/ja/built-in-nodes/SaveImageAdvanced.mdx index e320c54d5..5986938fe 100644 --- a/ja/built-in-nodes/SaveImageAdvanced.mdx +++ b/ja/built-in-nodes/SaveImageAdvanced.mdx @@ -5,21 +5,19 @@ sidebarTitle: "SaveImageAdvanced" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/ja.md) - # SaveImageAdvanced **SaveImageAdvanced**ノードは、ファイル形式、ビット深度、色空間を高度に制御しながら、画像をComfyUIの出力ディレクトリに保存します。PNGまたはEXRファイルとしての保存に対応しており、ワークフローのメタデータを保存ファイルに埋め込むことができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 保存する画像です。 | -| `ファイル名プレフィックス` | STRING | はい | - | 保存するファイルのプレフィックスです。`%date:yyyy-MM-dd%` や `%Empty Latent Image.width%` などのフォーマットトークンを含めることができます。（デフォルト："ComfyUI"） | -| `フォーマット` | COMBO | はい | `"png"`
`"exr"` | 画像を保存するファイル形式です。形式を選択すると、その形式の追加オプションが表示されます。 | -| `bit_depth` | COMBO | はい（条件付き） | PNGの場合：`"8-bit"`
`"16-bit"`
EXRの場合：`"32-bit float"` | 選択した形式のビット深度です。このパラメータは形式が選択されたときに表示されます。（デフォルト：PNGは"8-bit"、EXRは"32-bit float"） | -| `input_color_space` | COMBO | はい（条件付き） | PNGの場合：`"sRGB"`
EXRの場合：`"sRGB"`
`"HDR"`
`"linear"` | 入力テンソルの色空間です。PNGの場合はsRGBのみ使用可能です。EXRの場合は、画像は常にシーンリニアとして、対応する色域で書き込まれます。（デフォルト："sRGB"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 保存する画像です。 | IMAGE | はい | - | +| `ファイル名プレフィックス` | 保存するファイルのプレフィックスです。`%date:yyyy-MM-dd%` や `%Empty Latent Image.width%` などのフォーマットトークンを含めることができます。（デフォルト："ComfyUI"） | STRING | はい | - | +| `フォーマット` | 画像を保存するファイル形式です。形式を選択すると、その形式の追加オプションが表示されます。 | COMBO | はい | `"png"`
`"exr"` | +| `bit_depth` | 選択した形式のビット深度です。このパラメータは形式が選択されたときに表示されます。（デフォルト：PNGは"8-bit"、EXRは"32-bit float"） | COMBO | はい（条件付き） | PNGの場合：`"8-bit"`
`"16-bit"`
EXRの場合：`"32-bit float"` | +| `input_color_space` | 入力テンソルの色空間です。PNGの場合はsRGBのみ使用可能です。EXRの場合は、画像は常にシーンリニアとして、対応する色域で書き込まれます。（デフォルト："sRGB"） | COMBO | はい（条件付き） | PNGの場合：`"sRGB"`
EXRの場合：`"sRGB"`
`"HDR"`
`"linear"` | **パラメータの依存関係に関する注意事項：** - `bit_depth` と `input_color_space` のパラメータは、特定の `format` が選択された場合にのみ使用可能です。 @@ -32,9 +30,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 保存された画像結果のリストです。各結果にはファイル名、サブフォルダ、タイプ（"output"）が含まれます。この出力はUI表示用に使用されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 保存された画像結果のリストです。各結果にはファイル名、サブフォルダ、タイプ（"output"）が含まれます。この出力はUI表示用に使用されます。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/ja.md) --- **Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5` diff --git a/ja/built-in-nodes/SaveImageDataSetToFolder.mdx b/ja/built-in-nodes/SaveImageDataSetToFolder.mdx index c04a3b485..df71ee7b6 100644 --- a/ja/built-in-nodes/SaveImageDataSetToFolder.mdx +++ b/ja/built-in-nodes/SaveImageDataSetToFolder.mdx @@ -5,19 +5,17 @@ sidebarTitle: "SaveImageDataSetToFolder" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/en.md) このノードは、画像のリストをComfyUIの出力ディレクトリ内の指定フォルダに保存します。複数の画像を入力として受け取り、カスタマイズ可能なファイル名プレフィックスを付けてディスクに書き込みます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | なし | 保存する画像のリストです。 | -| `folder_name` | STRING | いいえ | なし | 画像を保存するフォルダ名です（出力ディレクトリ内）。デフォルト値は"dataset"です。 | -| `filename_prefix` | STRING | いいえ | なし | 保存する画像ファイル名のプレフィックスです。デフォルト値は"image"です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `images` | 保存する画像のリストです。 | IMAGE | はい | なし | +| `folder_name` | 画像を保存するフォルダ名です（出力ディレクトリ内）。デフォルト値は"dataset"です。 | STRING | いいえ | なし | +| `filename_prefix` | 保存する画像ファイル名のプレフィックスです。デフォルト値は"image"です。 | STRING | いいえ | なし | **注意：** `images`入力はリストであり、複数の画像を一度に受け取って処理できます。`folder_name`と`filename_prefix`パラメータはスカラー値です。リストが接続されている場合は、そのリストの最初の値のみが使用されます。 @@ -25,5 +23,7 @@ mode: wide このノードには出力はありません。ファイルシステムへの保存操作を実行する出力ノードです。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/ja.md) + --- **Source fingerprint (SHA-256):** `65c7905caa8ff2811054bec2830c1359d0c441b5d93f50bc4d0bf10645046556` diff --git a/ja/built-in-nodes/SaveImageTextDataSetToFolder.mdx b/ja/built-in-nodes/SaveImageTextDataSetToFolder.mdx index 74590455c..0df20a5a1 100644 --- a/ja/built-in-nodes/SaveImageTextDataSetToFolder.mdx +++ b/ja/built-in-nodes/SaveImageTextDataSetToFolder.mdx @@ -5,28 +5,28 @@ sidebarTitle: "SaveImageTextDataSetToFolder" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/en.md) 画像とテキストデータセットをフォルダに保存するノードは、画像のリストとそれに対応するテキストキャプションを、ComfyUIの出力ディレクトリ内の指定されたフォルダに保存します。各画像がPNGファイルとして保存される際に、同じベース名を持つテキストファイルが作成され、そのキャプションが格納されます。これは、生成された画像とその説明文からなる整理されたデータセットを作成する際に便利です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | - | 保存する画像のリストです。 | -| `texts` | STRING | はい | - | 保存するテキストキャプションのリストです。 | -| `folder_name` | STRING | いいえ | - | 画像を保存するフォルダ名です（出力ディレクトリ内）。 (デフォルト: "dataset") | -| `filename_prefix` | STRING | いいえ | - | 保存される画像ファイル名のプレフィックスです。 (デフォルト: "image") | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `images` | 保存する画像のリストです。 | IMAGE | はい | - | +| `texts` | 保存するテキストキャプションのリストです。 | STRING | はい | - | +| `folder_name` | 画像を保存するフォルダ名です（出力ディレクトリ内）。 (デフォルト: "dataset") | STRING | いいえ | - | +| `filename_prefix` | 保存される画像ファイル名のプレフィックスです。 (デフォルト: "image") | STRING | いいえ | - | **注意:** `images` と `texts` の入力はリストです。このノードは、テキストキャプションの数が提供された画像の数と一致することを想定しています。各キャプションは、対応する画像とペアになった `.txt` ファイルに保存されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| - | - | このノードには出力はありません。ファイルをファイルシステムに直接保存します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| - | このノードには出力はありません。ファイルをファイルシステムに直接保存します。 | - | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/ja.md) --- **Source fingerprint (SHA-256):** `0c76f623e97b1502c850e0a59dc9edd7c241bcd823f5e32a8dcdd8b8160d2e44` diff --git a/ja/built-in-nodes/SaveLatent.mdx b/ja/built-in-nodes/SaveLatent.mdx index 85e6a2a1c..d7e423d3a 100644 --- a/ja/built-in-nodes/SaveLatent.mdx +++ b/ja/built-in-nodes/SaveLatent.mdx @@ -5,26 +5,26 @@ sidebarTitle: "SaveLatent" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLatent/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLatent/en.md) SaveLatentノードは、潜在テンソルを後で使用したり共有したりするために、ファイルとしてディスクに保存します。このノードは潜在サンプルを受け取り、プロンプト情報を含むオプションのメタデータとともに出力ディレクトリに保存します。ノードはファイルの命名と整理を自動的に処理し、潜在データ構造を保持します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `サンプル` | LATENT | はい | - | ディスクに保存する潜在サンプル | -| `ファイル名_プレフィックス` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："latents/ComfyUI"） | -| `prompt` | PROMPT | いいえ | - | メタデータに含めるプロンプト情報（非表示パラメータ） | -| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | メタデータに含める追加のPNG情報（非表示パラメータ） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サンプル` | ディスクに保存する潜在サンプル | LATENT | はい | - | +| `ファイル名_プレフィックス` | 出力ファイル名のプレフィックス（デフォルト："latents/ComfyUI"） | STRING | いいえ | - | +| `prompt` | メタデータに含めるプロンプト情報（非表示パラメータ） | PROMPT | いいえ | - | +| `extra_pnginfo` | メタデータに含める追加のPNG情報（非表示パラメータ） | EXTRA_PNGINFO | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `ui` | UI | ComfyUIインターフェースで保存された潜在データのファイル位置情報を提供します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ui` | ComfyUIインターフェースで保存された潜在データのファイル位置情報を提供します | UI | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLatent/ja.md) --- **Source fingerprint (SHA-256):** `dc7fd101c8dd93e2bcc39de64e0c39abe8e056c9e5932587fc6ce80e2fd143e8` diff --git a/ja/built-in-nodes/SaveLoRA.mdx b/ja/built-in-nodes/SaveLoRA.mdx index 9969060f5..5818e70d8 100644 --- a/ja/built-in-nodes/SaveLoRA.mdx +++ b/ja/built-in-nodes/SaveLoRA.mdx @@ -5,25 +5,25 @@ sidebarTitle: "SaveLoRA" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRA/ja.md) - SaveLoRA ノードは、LoRA（Low-Rank Adaptation）モデルをファイルに保存します。LoRA モデルを入力として受け取り、出力ディレクトリに `.safetensors` ファイルとして書き込みます。ファイル名のプレフィックスと、最終的なファイル名に含めるオプションのステップ数を指定できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `lora` | LORA_MODEL | はい | なし | 保存する LoRA モデルです。LoRA レイヤーが適用されたモデルは使用しないでください。 | -| `prefix` | STRING | はい | なし | 保存する LoRA ファイルのプレフィックス（デフォルト："loras/ComfyUI_trained_lora"）。 | -| `steps` | INT | いいえ | なし | オプション：LoRA がトレーニングされたステップ数。保存ファイルの命名に使用されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `lora` | 保存する LoRA モデルです。LoRA レイヤーが適用されたモデルは使用しないでください。 | LORA_MODEL | はい | なし | +| `prefix` | 保存する LoRA ファイルのプレフィックス（デフォルト："loras/ComfyUI_trained_lora"）。 | STRING | はい | なし | +| `steps` | オプション：LoRA がトレーニングされたステップ数。保存ファイルの命名に使用されます。 | INT | いいえ | なし | **注記：** `lora` 入力は、純粋な LoRA モデルである必要があります。LoRA レイヤーが適用されたベースモデルを指定しないでください。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| *なし* | なし | このノードはワークフローにデータを出力しません。ファイルをディスクに保存する出力ノードです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| *なし* | このノードはワークフローにデータを出力しません。ファイルをディスクに保存する出力ノードです。 | なし | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRA/ja.md) --- **Source fingerprint (SHA-256):** `e68a449d741c908f23fc1585d848254d78c310ad19efbd139c33c9ddef3145c7` diff --git a/ja/built-in-nodes/SaveLoRANode.mdx b/ja/built-in-nodes/SaveLoRANode.mdx index 0bbbecf37..30f094c9b 100644 --- a/ja/built-in-nodes/SaveLoRANode.mdx +++ b/ja/built-in-nodes/SaveLoRANode.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SaveLoRANode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRANode/ja.md) - SaveLoRAノードは、LoRA（Low-Rank Adaptation）モデルを出力ディレクトリに保存します。入力としてLoRAモデルを受け取り、自動生成されたファイル名でsafetensorsファイルを作成します。ファイル名のプレフィックスをカスタマイズしたり、オプションでトレーニングステップ数をファイル名に含めて整理しやすくすることができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `lora` | LORA_MODEL | はい | - | 保存するLoRAモデルです。LoRAレイヤーが適用されたモデルは使用しないでください。 | -| `prefix` | STRING | はい | - | 保存されるLoRAファイルに使用するプレフィックスです（デフォルト："loras/ComfyUI_trained_lora"）。 | -| `steps` | INT | いいえ | - | オプション：LoRAがトレーニングされたステップ数です。保存ファイルの命名に使用されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `lora` | 保存するLoRAモデルです。LoRAレイヤーが適用されたモデルは使用しないでください。 | LORA_MODEL | はい | - | +| `prefix` | 保存されるLoRAファイルに使用するプレフィックスです（デフォルト："loras/ComfyUI_trained_lora"）。 | STRING | はい | - | +| `steps` | オプション：LoRAがトレーニングされたステップ数です。保存ファイルの命名に使用されます。 | INT | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| *なし* | - | このノードは出力を返しませんが、LoRAモデルを出力ディレクトリに保存します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| *なし* | このノードは出力を返しませんが、LoRAモデルを出力ディレクトリに保存します。 | - | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRANode/ja.md) --- **Source fingerprint (SHA-256):** `06a1067433aa4b720b51050b09fbad4870caf12c5e92f788d44ea022a39efef4` diff --git a/ja/built-in-nodes/SaveSVGNode.mdx b/ja/built-in-nodes/SaveSVGNode.mdx index f6a7fb7a5..9a1e48569 100644 --- a/ja/built-in-nodes/SaveSVGNode.mdx +++ b/ja/built-in-nodes/SaveSVGNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SaveSVGNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveSVGNode/ja.md) - SVGファイルをディスクに保存します。このノードはSVGデータを入力として受け取り、オプションでメタデータを埋め込みながら出力ディレクトリに保存します。ファイル名にはカウンターサフィックスが自動的に付与され、ワークフローのプロンプト情報をSVGファイルに直接埋め込むことができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `svg` | SVG | はい | - | ディスクに保存するSVGデータ | -| `ファイル名プレフィックス` | STRING | はい | - | 保存するファイルのプレフィックス。`%date:yyyy-MM-dd%` や `%Empty Latent Image.width%` などのフォーマット情報を含めて、ノードの値をファイル名に反映させることができます。（デフォルト: "svg/ComfyUI"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `svg` | ディスクに保存するSVGデータ | SVG | はい | - | +| `ファイル名プレフィックス` | 保存するファイルのプレフィックス。`%date:yyyy-MM-dd%` や `%Empty Latent Image.width%` などのフォーマット情報を含めて、ノードの値をファイル名に反映させることができます。（デフォルト: "svg/ComfyUI"） | STRING | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ui` | DICT | ファイル名、サブフォルダ、タイプを含むファイル情報を返し、ComfyUIインターフェースに表示します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ui` | ファイル名、サブフォルダ、タイプを含むファイル情報を返し、ComfyUIインターフェースに表示します | DICT | **注意:** このノードは、利用可能な場合にワークフローのメタデータ（プロンプトおよび追加のPNG情報）をSVGファイルに自動的に埋め込みます。メタデータはSVGのmetadata要素内にCDATAセクションとして挿入されます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveSVGNode/ja.md) + --- **Source fingerprint (SHA-256):** `a294103d8d2306ce6765912a98c5572323bb5394909ee384591534b0b404ea70` diff --git a/ja/built-in-nodes/SaveTrainingDataset.mdx b/ja/built-in-nodes/SaveTrainingDataset.mdx index 75df8b221..8e8a0aaf0 100644 --- a/ja/built-in-nodes/SaveTrainingDataset.mdx +++ b/ja/built-in-nodes/SaveTrainingDataset.mdx @@ -5,18 +5,16 @@ sidebarTitle: "SaveTrainingDataset" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveTrainingDataset/ja.md) - このノードは、準備されたトレーニングデータセットをコンピュータのハードドライブに保存します。画像の潜在表現とそれに対応するテキストコンディショニングを含むエンコード済みデータを受け取り、管理を容易にするために「シャード」と呼ばれる複数の小さなファイルに整理します。このノードは出力ディレクトリ内に自動的にフォルダを作成し、データファイルとデータセットを説明するメタデータファイルの両方を保存します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `latents` | LATENT | はい | なし | MakeTrainingDatasetからの潜在表現辞書のリスト。 | -| `conditioning` | CONDITIONING | はい | なし | MakeTrainingDatasetからのコンディショニングリストのリスト。 | -| `folder_name` | STRING | いいえ | なし | データセットを保存するフォルダ名（出力ディレクトリ内）。（デフォルト："training_dataset"） | -| `shard_size` | INT | いいえ | 1～100000 | シャードファイルあたりのサンプル数。（デフォルト：1000） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `latents` | MakeTrainingDatasetからの潜在表現辞書のリスト。 | LATENT | はい | なし | +| `conditioning` | MakeTrainingDatasetからのコンディショニングリストのリスト。 | CONDITIONING | はい | なし | +| `folder_name` | データセットを保存するフォルダ名（出力ディレクトリ内）。（デフォルト："training_dataset"） | STRING | いいえ | なし | +| `shard_size` | シャードファイルあたりのサンプル数。（デフォルト：1000） | INT | いいえ | 1～100000 | **注記：** `latents`リストのアイテム数は、`conditioning`リストのアイテム数と正確に一致する必要があります。これらの数が一致しない場合、ノードはエラーを発生させます。 @@ -24,5 +22,7 @@ mode: wide このノードは出力データを生成しません。その機能はファイルをディスクに保存することです。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveTrainingDataset/ja.md) + --- **Source fingerprint (SHA-256):** `1b0108be7362c0cb8ba16ffbf94cf42be2d04159aacbabe1ff0890083d1733b3` diff --git a/ja/built-in-nodes/SaveVideo.mdx b/ja/built-in-nodes/SaveVideo.mdx index 372b6c94b..333b92f20 100644 --- a/ja/built-in-nodes/SaveVideo.mdx +++ b/ja/built-in-nodes/SaveVideo.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SaveVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveVideo/ja.md) - SaveVideoノードは、入力された動画コンテンツをComfyUIの出力ディレクトリに保存します。このノードでは、保存するファイルのファイル名プレフィックス、動画フォーマット、およびコーデックを指定できます。また、カウンターのインクリメントによる自動ファイル名管理に対応しており、保存された動画にワークフローメタデータを含めることも可能です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ビデオ` | VIDEO | はい | - | 保存する動画です。 | -| `ファイル名プレフィックス` | STRING | いいえ | - | 保存するファイルのプレフィックスです。%date:yyyy-MM-dd% や %Empty Latent Image.width% などのフォーマット情報を含めることで、ノードの値をファイル名に反映できます（デフォルト："video/ComfyUI"）。 | -| `フォーマット` | COMBO | いいえ | `"auto"`
`"mp4"`
`"webm"`
`"mkv"`
`"gif"` | 動画を保存するフォーマットです（デフォルト："auto"）。 | -| `コーデック` | COMBO | いいえ | `"auto"`
`"h264"`
`"h265"`
`"vp9"`
`"av1"`
`"prores"` | 動画に使用するコーデックです（デフォルト："auto"）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ビデオ` | 保存する動画です。 | VIDEO | はい | - | +| `ファイル名プレフィックス` | 保存するファイルのプレフィックスです。%date:yyyy-MM-dd% や %Empty Latent Image.width% などのフォーマット情報を含めることで、ノードの値をファイル名に反映できます（デフォルト："video/ComfyUI"）。 | STRING | いいえ | - | +| `フォーマット` | 動画を保存するフォーマットです（デフォルト："auto"）。 | COMBO | いいえ | `"auto"`
`"mp4"`
`"webm"`
`"mkv"`
`"gif"` | +| `コーデック` | 動画に使用するコーデックです（デフォルト："auto"）。 | COMBO | いいえ | `"auto"`
`"h264"`
`"h265"`
`"vp9"`
`"av1"`
`"prores"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| *出力なし* | - | このノードは出力データを返しません。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| *出力なし* | このノードは出力データを返しません。 | - | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveVideo/ja.md) --- **Source fingerprint (SHA-256):** `506ddc8820924688cccb9fd838ff9c0f5217a38f708f28f15a060be9325cea61` diff --git a/ja/built-in-nodes/SaveWEBM.mdx b/ja/built-in-nodes/SaveWEBM.mdx index 89433ef55..005a2a24c 100644 --- a/ja/built-in-nodes/SaveWEBM.mdx +++ b/ja/built-in-nodes/SaveWEBM.mdx @@ -5,25 +5,25 @@ sidebarTitle: "SaveWEBM" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveWEBM/ja.md) - SaveWEBMノードは、画像のシーケンスをWEBMビデオファイルとして保存します。複数の入力画像を受け取り、VP9またはAV1コーデックを使用して、設定可能な品質設定とフレームレートでビデオにエンコードします。生成されたビデオファイルは、プロンプト情報を含むメタデータとともに出力ディレクトリに保存されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | ビデオフレームとしてエンコードする入力画像のシーケンス | -| `ファイル名の接頭辞` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："ComfyUI"） | -| `コーデック` | COMBO | はい | "vp9"
"av1" | エンコードに使用するビデオコーデック | -| `fps` | FLOAT | いいえ | 0.01-1000.0 | 出力ビデオのフレームレート（デフォルト：24.0） | -| `crf` | FLOAT | いいえ | 0-63.0 | 品質設定。crfが高いほど品質が低下しファイルサイズが小さくなり、crfが低いほど品質が向上しファイルサイズが大きくなります（デフォルト：32.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | ビデオフレームとしてエンコードする入力画像のシーケンス | IMAGE | はい | - | +| `ファイル名の接頭辞` | 出力ファイル名のプレフィックス（デフォルト："ComfyUI"） | STRING | いいえ | - | +| `コーデック` | エンコードに使用するビデオコーデック | COMBO | はい | "vp9"
"av1" | +| `fps` | 出力ビデオのフレームレート（デフォルト：24.0） | FLOAT | いいえ | 0.01-1000.0 | +| `crf` | 品質設定。crfが高いほど品質が低下しファイルサイズが小さくなり、crfが低いほど品質が向上しファイルサイズが大きくなります（デフォルト：32.0） | FLOAT | いいえ | 0-63.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ui` | PREVIEW | 保存されたWEBMファイルを表示するビデオプレビュー | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ui` | 保存されたWEBMファイルを表示するビデオプレビュー | PREVIEW | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveWEBM/ja.md) --- **Source fingerprint (SHA-256):** `761ce5148c273ffe3789be75c2a00268241d3ec7ecebd5b10efd1b1cc98d85ea` diff --git a/ja/built-in-nodes/ScaleROPE.mdx b/ja/built-in-nodes/ScaleROPE.mdx index 74c271a25..10522e7a6 100644 --- a/ja/built-in-nodes/ScaleROPE.mdx +++ b/ja/built-in-nodes/ScaleROPE.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ScaleROPE" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ScaleROPE/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,21 +13,23 @@ ScaleROPEノードを使用すると、モデルのRotary Position Embedding（R ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | ROPEパラメータを変更するモデル。 | -| `X軸スケール` | FLOAT | いいえ | 0.0 - 100.0 | ROPEのXコンポーネントに適用するスケーリング係数（デフォルト：1.0）。 | -| `X軸シフト` | FLOAT | いいえ | -256.0 - 256.0 | ROPEのXコンポーネントに適用するシフト値（デフォルト：0.0）。 | -| `Y軸スケール` | FLOAT | いいえ | 0.0 - 100.0 | ROPEのYコンポーネントに適用するスケーリング係数（デフォルト：1.0）。 | -| `Y軸シフト` | FLOAT | いいえ | -256.0 - 256.0 | ROPEのYコンポーネントに適用するシフト値（デフォルト：0.0）。 | -| `時間軸スケール` | FLOAT | いいえ | 0.0 - 100.0 | ROPEのT（時間）コンポーネントに適用するスケーリング係数（デフォルト：1.0）。 | -| `時間軸シフト` | FLOAT | いいえ | -256.0 - 256.0 | ROPEのT（時間）コンポーネントに適用するシフト値（デフォルト：0.0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | ROPEパラメータを変更するモデル。 | MODEL | はい | - | +| `X軸スケール` | ROPEのXコンポーネントに適用するスケーリング係数（デフォルト：1.0）。 | FLOAT | いいえ | 0.0 - 100.0 | +| `X軸シフト` | ROPEのXコンポーネントに適用するシフト値（デフォルト：0.0）。 | FLOAT | いいえ | -256.0 - 256.0 | +| `Y軸スケール` | ROPEのYコンポーネントに適用するスケーリング係数（デフォルト：1.0）。 | FLOAT | いいえ | 0.0 - 100.0 | +| `Y軸シフト` | ROPEのYコンポーネントに適用するシフト値（デフォルト：0.0）。 | FLOAT | いいえ | -256.0 - 256.0 | +| `時間軸スケール` | ROPEのT（時間）コンポーネントに適用するスケーリング係数（デフォルト：1.0）。 | FLOAT | いいえ | 0.0 - 100.0 | +| `時間軸シフト` | ROPEのT（時間）コンポーネントに適用するシフト値（デフォルト：0.0）。 | FLOAT | いいえ | -256.0 - 256.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 新しいROPEスケーリングおよびシフトパラメータが適用されたモデル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 新しいROPEスケーリングおよびシフトパラメータが適用されたモデル。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ScaleROPE/ja.md) --- **Source fingerprint (SHA-256):** `c5ca193a46faa9477a2e6c99b905205685e8add8faa2f2d161c7c384b3dc2441` diff --git a/ja/built-in-nodes/Sd4xupscaleConditioning.mdx b/ja/built-in-nodes/Sd4xupscaleConditioning.mdx index 7ef2a7de4..d60070f1b 100644 --- a/ja/built-in-nodes/Sd4xupscaleConditioning.mdx +++ b/ja/built-in-nodes/Sd4xupscaleConditioning.mdx @@ -5,24 +5,24 @@ sidebarTitle: "Sd4xupscaleConditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Sd4xupscaleConditioning/ja.md) - このノードは、4倍のアップスケール処理を通じて画像の解像度を向上させることに特化しており、出力を洗練するための条件付け要素を組み込んでいます。拡散技術を活用して画像をアップスケールするとともに、スケール比率やノイズ増強の調整を可能にし、拡張処理を微調整します。 ## 入力 -| パラメータ | Comfy dtype | 説明 | -|----------------------|--------------------|-------------| -| `images` | `IMAGE` | アップスケールする入力画像です。このパラメータは出力画像の品質と解像度に直接影響を与えるため、非常に重要です。 | -| `positive` | `CONDITIONING` | 出力画像において望ましい属性や特徴へアップスケール処理を導く、ポジティブな条件付け要素です。 | -| `negative` | `CONDITIONING` | アップスケール処理が回避すべき属性や特徴から出力を遠ざける、ネガティブな条件付け要素です。 | -| `scale_ratio` | `FLOAT` | 画像の解像度が拡大される倍率を指定します。スケール比率が高いほど出力画像は大きくなり、より詳細で鮮明な表現が可能になります。 | -| `noise_augmentation` | `FLOAT` | アップスケール処理中に適用されるノイズ増強のレベルを制御します。これにより、ばらつきを導入し、出力画像のロバスト性を向上させることができます。 | +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `images` | アップスケールする入力画像です。このパラメータは出力画像の品質と解像度に直接影響を与えるため、非常に重要です。 | `IMAGE` | +| `positive` | 出力画像において望ましい属性や特徴へアップスケール処理を導く、ポジティブな条件付け要素です。 | `CONDITIONING` | +| `negative` | アップスケール処理が回避すべき属性や特徴から出力を遠ざける、ネガティブな条件付け要素です。 | `CONDITIONING` | +| `scale_ratio` | 画像の解像度が拡大される倍率を指定します。スケール比率が高いほど出力画像は大きくなり、より詳細で鮮明な表現が可能になります。 | `FLOAT` | +| `noise_augmentation` | アップスケール処理中に適用されるノイズ増強のレベルを制御します。これにより、ばらつきを導入し、出力画像のロバスト性を向上させることができます。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|---------------|--------------|-------------| -| `positive` | `CONDITIONING` | アップスケール処理の結果として得られる、洗練されたポジティブな条件付け要素です。 | -| `negative` | `CONDITIONING` | アップスケール処理の結果として得られる、洗練されたネガティブな条件付け要素です。 | -| `latent` | `LATENT` | アップスケール処理中に生成される潜在表現であり、さらなる処理やモデルのトレーニングに利用できます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `positive` | アップスケール処理の結果として得られる、洗練されたポジティブな条件付け要素です。 | `CONDITIONING` | +| `negative` | アップスケール処理の結果として得られる、洗練されたネガティブな条件付け要素です。 | `CONDITIONING` | +| `latent` | アップスケール処理中に生成される潜在表現であり、さらなる処理やモデルのトレーニングに利用できます。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Sd4xupscaleConditioning/ja.md) diff --git a/ja/built-in-nodes/SeedVR2Conditioning.mdx b/ja/built-in-nodes/SeedVR2Conditioning.mdx new file mode 100644 index 000000000..efdda40c1 --- /dev/null +++ b/ja/built-in-nodes/SeedVR2Conditioning.mdx @@ -0,0 +1,31 @@ +--- +title: "SeedVR2Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SeedVR2Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SeedVR2Conditioning" +icon: "circle" +mode: wide +--- +# Apply SeedVR2 Conditioning + +このノードは、VAE潜在変数からSeedVR2モデルで使用するポジティブおよびネガティブなコンディショニングを構築します。画像や動画の生成プロセスを導くコンディショニングデータを準備します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `model` | SeedVR2モデルです。 | MODEL | はい | - | +| `vae_conditioning` | コンディショニングを構築する元となるVAE潜在変数です。 | LATENT | はい | - | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `model` | SeedVR2モデルです。 | MODEL | +| `positive` | 生成を導くためのポジティブコンディショニングです。 | CONDITIONING | +| `negative` | 生成を導くためのネガティブコンディショニングです。 | CONDITIONING | +| `latent` | 処理された潜在サンプルです。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SeedVR2Conditioning/ja.md) + +--- +**Source fingerprint (SHA-256):** `8f99c0e712c5c6fc76261d6d72c5c08b7202c77827ecf2549240fc530c1b65bd` diff --git a/ja/built-in-nodes/SeedVR2PostProcessing.mdx b/ja/built-in-nodes/SeedVR2PostProcessing.mdx new file mode 100644 index 000000000..b236cbfe2 --- /dev/null +++ b/ja/built-in-nodes/SeedVR2PostProcessing.mdx @@ -0,0 +1,31 @@ +--- +title: "SeedVR2PostProcessing - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SeedVR2PostProcessing node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SeedVR2PostProcessing" +icon: "circle" +mode: wide +--- +# Post-Process SeedVR2 出力 + +このノードは、生成された画像を元のリサイズ画像に合わせて調整し、オプションで色補正を適用します。SeedVR2 アップスケーリング処理の出力を受け取り、元の参照画像の色と寸法に合わせて調整します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `images` | 処理する生成画像です。 | IMAGE | はい | - | +| `original_resized_images` | 前処理前の元のリサイズ画像で、参照として使用します。 | IMAGE | はい | - | +| `color_correction_method` | 生成画像の色を元の画像に合わせる方法です。lab: CIELAB色空間で色を転送し、ディテールを保持します（最も忠実）。wavelet: 低周波の色を転送し、アップスケールされた高周波のディテールを維持します。adain: チャンネルごとの平均/標準偏差を一致させます（最速、全体的な色味調整）。none: 色転送をスキップします（形状合わせのみ）。（デフォルト: "lab"） | COMBO | はい | `"lab"`
`"wavelet"`
`"adain"`
`"none"` | + +**注意:** `images` と `original_resized_images` の入力は、同じ寸法である必要があります。元の画像にアルファチャンネル（4チャンネル）がある場合は、それが保持され出力に適用されます。 + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `images` | 色補正が適用され、参照画像に合わせて寸法が調整された処理済み画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SeedVR2PostProcessing/ja.md) + +--- +**Source fingerprint (SHA-256):** `befbe8ccd591c8064a07ae4bb8df853c7ce10f3de83ebfa9214755c22faf28b0` diff --git a/ja/built-in-nodes/SeedVR2Preprocess.mdx b/ja/built-in-nodes/SeedVR2Preprocess.mdx new file mode 100644 index 000000000..0f1fd7bd4 --- /dev/null +++ b/ja/built-in-nodes/SeedVR2Preprocess.mdx @@ -0,0 +1,27 @@ +--- +title: "SeedVR2Preprocess - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SeedVR2Preprocess node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SeedVR2Preprocess" +icon: "circle" +mode: wide +--- +# Pre-Process SeedVR2 Input（SeedVR2 入力前処理） + +このノードは、リサイズされた画像にパディングを施し、SeedVR2 モデルで処理できる状態に準備します。処理中にアルファチャンネルを除去し、その後、後続の Post-Process SeedVR2 Output（SeedVR2 出力後処理）ノードが元のリサイズ画像を使用してアルファチャンネルを復元します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|------|---------|------|------| +| `resized_images` | 処理するリサイズ済み画像です。 | IMAGE | はい | - | + +## 出力 + +| 出力名 | 説明 | データ型 | +|--------|------|---------| +| `images` | SeedVR2 処理用にパディングされた画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SeedVR2Preprocess/ja.md) + +--- +**Source fingerprint (SHA-256):** `b8135d0e27f75a673f52d080c6704de8cc86d15b5d16eca055d55e2d20837dc7` diff --git a/ja/built-in-nodes/SeedVR2ProgressiveSampler.mdx b/ja/built-in-nodes/SeedVR2ProgressiveSampler.mdx new file mode 100644 index 000000000..2a9b3da01 --- /dev/null +++ b/ja/built-in-nodes/SeedVR2ProgressiveSampler.mdx @@ -0,0 +1,45 @@ +--- +title: "SeedVR2ProgressiveSampler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SeedVR2ProgressiveSampler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SeedVR2ProgressiveSampler" +icon: "circle" +mode: wide +--- +# SeedVR2ProgressiveSampler + +SeedVR2ネイティブワークフロー向けのシーケンシャル時間チャンクサンプラーです。このノードは、長い動画の潜在表現をより小さな時間チャンクに分割し、各チャンクを順次サンプリングして、結果をブレンドすることで処理を行います。メモリ不足エラーが発生するようなシーケンスでSeedVR2モデルを使用する際に、標準のKSamplerの代替として使用できます。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `model` | 入力された潜在表現のノイズ除去に使用されるモデル | MODEL | はい | | +| `seed` | ノイズ生成に使用されるランダムシード（デフォルト：0） | INT | はい | 0 ～ 0xffffffffffffffff | +| `steps` | ノイズ除去プロセスで使用されるステップ数（デフォルト：20） | INT | はい | 1 ～ 10000 | +| `cfg` | Classifier-Free Guidanceスケールは、創造性とプロンプトへの忠実性のバランスを調整します。値が高いほどプロンプトに近い画像が生成されますが、高すぎると品質に悪影響を及ぼします（デフォルト：1.0） | FLOAT | はい | 0.0 ～ 100.0 | +| `sampler_name` | サンプリング時に使用されるアルゴリズムで、生成される出力の品質、速度、スタイルに影響を与えます | COMBO | はい | 複数のオプションから選択可能 | +| `scheduler` | スケジューラーは、画像を形成するためにノイズがどのように段階的に除去されるかを制御します | COMBO | はい | 複数のオプションから選択可能 | +| `positive` | 画像に含めたい属性を記述する条件付け | CONDITIONING | はい | | +| `negative` | 画像から除外したい属性を記述する条件付け | CONDITIONING | はい | | +| `latent` | ノイズ除去する潜在画像 | LATENT | はい | | +| `denoise` | 適用されるノイズ除去の量。低い値では初期画像の構造が維持され、画像間サンプリングが可能になります（デフォルト：1.0） | FLOAT | はい | 0.0 ～ 1.0 | +| `frames_per_chunk` | 時間チャンクあたりのピクセルフレーム数。SeedVR2の制約に合わせて4n+1の値（1、5、9、13、17、21、...）である必要があります（デフォルト：21） | INT | はい | 1 ～ 16384（4刻み） | +| `temporal_overlap` | 隣接するチャンク間でブレンドされる潜在フレーム数。0はブレンドなしを意味します（デフォルト：0） | INT | はい | 0 ～ 16384 | +| `chunking_mode` | manual = frames_per_chunkをそのまま使用；auto = VRAMに収まるまでチャンクを縮小（デフォルト："manual"） | COMBO | はい | "manual"
"auto" | + +**`frames_per_chunk`に関する注意事項：** このパラメータは4n+1のピクセルフレーム数（1、5、9、13、17、21、...）である必要があります。無効な値が指定された場合、ノードはエラーを発生させます。 + +**`temporal_overlap`に関する注意事項：** オーバーラップ値は、有効なチャンク処理を保証するために、自動的に潜在チャンクサイズより1小さい値に制限されます。 + +**`chunking_mode`に関する注意事項：** "auto"に設定すると、現在のチャンクがメモリ不足エラーを引き起こす場合、ノードは自動的に小さいチャンクサイズを試行します。すべての試行が失敗した場合、ノードはエラーを発生させます。 + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `latent` | ノイズ除去された潜在出力。すべての時間チャンクから連結され、単一の統合されたSeedVR2潜在テンソルに戻されます | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SeedVR2ProgressiveSampler/ja.md) + +--- +**Source fingerprint (SHA-256):** `a4574c3e619954b5569551b5b2ba112ecbff918dcebb5ba718a14e77701144a9` diff --git a/ja/built-in-nodes/SelectCLIPDevice.mdx b/ja/built-in-nodes/SelectCLIPDevice.mdx index 64488124b..b10d72e40 100644 --- a/ja/built-in-nodes/SelectCLIPDevice.mdx +++ b/ja/built-in-nodes/SelectCLIPDevice.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SelectCLIPDevice" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectCLIPDevice/ja.md) - ## 概要 Select CLIP Device ノードを使用すると、CLIPテキストエンコーダーを実行するデバイス（CPUまたは特定のGPU）を選択できます。デフォルトでは、デバイスはモデルローダーによって割り当てられますが、CPUまたは特定のGPUを使用するように上書きできます。要求されたデバイスがお使いのマシンに存在しない場合、ノードはエラーを発生させずにCLIPをそのまま通過させ、メッセージをログに記録します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `clip` | CLIP | はい | | 特定のデバイスに割り当てるCLIPテキストエンコーダー。 | -| `device` | COMBO | はい | `"default"`
`"cpu"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | CLIPテキストエンコーダーを配置するデバイス。`"default"`はローダーによって割り当てられたデバイスに戻します。`"cpu"`はロードデバイスとオフロードデバイスの両方をCPUに固定します。`"gpu:N"`はロードデバイスをN番目の利用可能なGPUに固定します（デフォルト：`"default"`）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip` | 特定のデバイスに割り当てるCLIPテキストエンコーダー。 | CLIP | はい | | +| `device` | CLIPテキストエンコーダーを配置するデバイス。`"default"`はローダーによって割り当てられたデバイスに戻します。`"cpu"`はロードデバイスとオフロードデバイスの両方をCPUに固定します。`"gpu:N"`はロードデバイスをN番目の利用可能なGPUに固定します（デフォルト：`"default"`）。 | COMBO | はい | `"default"`
`"cpu"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `clip` | CLIP | 選択されたデバイスに割り当てられたCLIPテキストエンコーダー、または要求されたデバイスが利用できない場合は変更されずにそのまま渡された元のCLIP。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `clip` | 選択されたデバイスに割り当てられたCLIPテキストエンコーダー、または要求されたデバイスが利用できない場合は変更されずにそのまま渡された元のCLIP。 | CLIP | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectCLIPDevice/ja.md) --- **Source fingerprint (SHA-256):** `92af94d9f5eea27095cc008debdf7339d26888a0e2cc8bd71ae9c9ba8718eb01` diff --git a/ja/built-in-nodes/SelectModelDevice.mdx b/ja/built-in-nodes/SelectModelDevice.mdx index 0880a95f8..798f79a9d 100644 --- a/ja/built-in-nodes/SelectModelDevice.mdx +++ b/ja/built-in-nodes/SelectModelDevice.mdx @@ -5,18 +5,16 @@ sidebarTitle: "SelectModelDevice" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectModelDevice/ja.md) - ## 概要 SelectModelDeviceノードを使用すると、拡散モデルを実行するデバイス（CPUまたは特定のGPU）を手動で選択できます。モデルを別のデバイスに移動することができ、他のマルチGPUノードとの競合を自動的に処理します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | | 特定のデバイスに配置する拡散モデル。 | -| `device` | COMBO | はい | `"default"`
`"cpu"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | モデルのターゲットデバイス。オプションは利用可能なGPUに基づいて動的に生成されます。（デフォルト："default"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 特定のデバイスに配置する拡散モデル。 | MODEL | はい | | +| `device` | モデルのターゲットデバイス。オプションは利用可能なGPUに基づいて動的に生成されます。（デフォルト："default"） | COMBO | はい | `"default"`
`"cpu"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | **パラメータの詳細：** - `"default"`：以前のSelectModelDeviceノードで変更された場合でも、モデルローダーによって割り当てられたデバイスに復元します。 @@ -30,9 +28,11 @@ SelectModelDeviceノードを使用すると、拡散モデルを実行するデ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 選択されたデバイスに配置された拡散モデル。デバイスが無効または利用不可の場合、モデルは変更されずに通過します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `model` | 選択されたデバイスに配置された拡散モデル。デバイスが無効または利用不可の場合、モデルは変更されずに通過します。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectModelDevice/ja.md) --- **Source fingerprint (SHA-256):** `02841975f123cc8ae8152ea86f1798e0e7e68255ecd11e04271da886b75eb0fd` diff --git a/ja/built-in-nodes/SelectVAEDevice.mdx b/ja/built-in-nodes/SelectVAEDevice.mdx index d6ec73325..3cf89295a 100644 --- a/ja/built-in-nodes/SelectVAEDevice.mdx +++ b/ja/built-in-nodes/SelectVAEDevice.mdx @@ -5,8 +5,6 @@ sidebarTitle: "SelectVAEDevice" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectVAEDevice/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,16 +13,18 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `vae` | VAE | はい | | 特定のデバイスに割り当てるVAEモデルです。 | -| `デバイス` | COMBO | はい | `"default"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | VAEのターゲットデバイスです。`"default"`はローダーによって割り当てられたデバイスに戻します。`"gpu:N"`はVAEをN番目の利用可能なGPUに固定します。CPUはサポート対象外であり、指定された場合は無視されます。（デフォルト：`"default"`） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `vae` | 特定のデバイスに割り当てるVAEモデルです。 | VAE | はい | | +| `デバイス` | VAEのターゲットデバイスです。`"default"`はローダーによって割り当てられたデバイスに戻します。`"gpu:N"`はVAEをN番目の利用可能なGPUに固定します。CPUはサポート対象外であり、指定された場合は無視されます。（デフォルト：`"default"`） | COMBO | はい | `"default"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `vae` | VAE | 選択されたデバイスに割り当てられたVAEモデルです。要求されたデバイスが利用できないか無効な場合、VAEは変更されずにそのまま渡されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `vae` | 選択されたデバイスに割り当てられたVAEモデルです。要求されたデバイスが利用できないか無効な場合、VAEは変更されずにそのまま渡されます。 | VAE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectVAEDevice/ja.md) --- **Source fingerprint (SHA-256):** `011154043fc02f930b0074de656bb24baf4dfe74bcfd2e89ea76284f0a5b7d8e` diff --git a/ja/built-in-nodes/SelfAttentionGuidance.mdx b/ja/built-in-nodes/SelfAttentionGuidance.mdx index 62159635b..fdcba1b6c 100644 --- a/ja/built-in-nodes/SelfAttentionGuidance.mdx +++ b/ja/built-in-nodes/SelfAttentionGuidance.mdx @@ -5,26 +5,26 @@ sidebarTitle: "SelfAttentionGuidance" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelfAttentionGuidance/ja.md) - ## 概要 Self-Attention Guidanceノードは、サンプリング処理中にアテンションメカニズムを変更することで、拡散モデルにガイダンスを適用します。無条件ノイズ除去ステップからアテンションスコアを取得し、それらを使用して最終出力に影響を与えるぼかしガイダンスマップを作成します。この技術は、モデル自身のアテンションパターンを活用することで、生成プロセスを誘導するのに役立ちます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | セルフアテンションガイダンスを適用する拡散モデル | -| `スケール` | FLOAT | いいえ | -2.0 ～ 5.0 | セルフアテンションガイダンス効果の強さ（デフォルト：0.5） | -| `ブラーシグマ` | FLOAT | いいえ | 0.0 ～ 10.0 | ガイダンスマップ作成時に適用するぼかしの量（デフォルト：2.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | セルフアテンションガイダンスを適用する拡散モデル | MODEL | はい | - | +| `スケール` | セルフアテンションガイダンス効果の強さ（デフォルト：0.5） | FLOAT | いいえ | -2.0 ～ 5.0 | +| `ブラーシグマ` | ガイダンスマップ作成時に適用するぼかしの量（デフォルト：2.0） | FLOAT | いいえ | 0.0 ～ 10.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | セルフアテンションガイダンスが適用された変更後のモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | セルフアテンションガイダンスが適用された変更後のモデル | MODEL | **注記：** このノードは現在実験的な機能であり、チャンクバッチ処理に制限があります。1回のUNet呼び出しからのアテンションスコアのみを保存でき、バッチサイズが大きい場合には正常に動作しない可能性があります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelfAttentionGuidance/ja.md) + --- **Source fingerprint (SHA-256):** `5f16ecd8f74bfd71073c6e3a65be08e54e4f5b9c56fe08deb48f35df381e82fa` diff --git a/ja/built-in-nodes/SetClipHooks.mdx b/ja/built-in-nodes/SetClipHooks.mdx index bb92e2eb6..b5b1d791a 100644 --- a/ja/built-in-nodes/SetClipHooks.mdx +++ b/ja/built-in-nodes/SetClipHooks.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SetClipHooks" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetClipHooks/ja.md) - SetClipHooks ノードを使用すると、CLIPモデルにカスタムフックを適用し、その動作を高度に変更できます。このノードは、コンディショニング出力にフックを適用したり、オプションでクリップスケジューリング機能を有効にしたりできます。指定されたフック設定が適用された、入力CLIPモデルのクローンコピーを作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `クリップ` | CLIP | はい | - | フックを適用するCLIPモデル | -| `apply_to_conds` | BOOLEAN | はい | - | コンディショニング出力にフックを適用するかどうか（デフォルト：True） | -| `schedule_clip` | BOOLEAN | はい | - | クリップスケジューリングを有効にするかどうか（デフォルト：False） | -| `フック` | HOOKS | いいえ | - | CLIPモデルに適用するオプションのフックグループ | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `クリップ` | フックを適用するCLIPモデル | CLIP | はい | - | +| `apply_to_conds` | コンディショニング出力にフックを適用するかどうか（デフォルト：True） | BOOLEAN | はい | - | +| `schedule_clip` | クリップスケジューリングを有効にするかどうか（デフォルト：False） | BOOLEAN | はい | - | +| `フック` | CLIPモデルに適用するオプションのフックグループ | HOOKS | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `クリップ` | CLIP | 指定されたフックが適用されたクローンCLIPモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `クリップ` | 指定されたフックが適用されたクローンCLIPモデル | CLIP | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetClipHooks/ja.md) --- **Source fingerprint (SHA-256):** `904a878638c015bdce1983ae0c11a2b580b271090fca39edb304f6ed90c8c66d` diff --git a/ja/built-in-nodes/SetFirstSigma.mdx b/ja/built-in-nodes/SetFirstSigma.mdx index 11c8ee0ed..923cf84ab 100644 --- a/ja/built-in-nodes/SetFirstSigma.mdx +++ b/ja/built-in-nodes/SetFirstSigma.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SetFirstSigma" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetFirstSigma/ja.md) - SetFirstSigma ノードは、シグマ値のシーケンスを変更し、その最初のシグマ値をカスタム値に置き換えます。既存のシグマシーケンスと新しいシグマ値を入力として受け取り、最初の要素のみが変更され、他のすべてのシグマ値は変更されていない新しいシグマシーケンスを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `シグマ` | SIGMAS | はい | - | 変更対象となるシグマ値の入力シーケンス | -| `シグマ` | FLOAT | はい | 0.0 ～ 20000.0 | シーケンスの最初の要素として設定する新しいシグマ値（デフォルト：136.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `シグマ` | 変更対象となるシグマ値の入力シーケンス | SIGMAS | はい | - | +| `シグマ` | シーケンスの最初の要素として設定する新しいシグマ値（デフォルト：136.0） | FLOAT | はい | 0.0 ～ 20000.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `シグマ` | SIGMAS | 最初の要素がカスタムシグマ値に置き換えられた、変更後のシグマシーケンス | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `シグマ` | 最初の要素がカスタムシグマ値に置き換えられた、変更後のシグマシーケンス | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetFirstSigma/ja.md) --- **Source fingerprint (SHA-256):** `2414acd7f3f42032c12bae2c581de4721f4c1daa912255fa0956caaa567291d5` diff --git a/ja/built-in-nodes/SetHookKeyframes.mdx b/ja/built-in-nodes/SetHookKeyframes.mdx index 5e1509c5b..88389c834 100644 --- a/ja/built-in-nodes/SetHookKeyframes.mdx +++ b/ja/built-in-nodes/SetHookKeyframes.mdx @@ -5,8 +5,6 @@ sidebarTitle: "SetHookKeyframes" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetHookKeyframes/ja.md) - 以下が翻訳結果です。 ## 概要概要 @@ -15,16 +13,18 @@ Set Hook Keyframes ノードを使用すると、既存のフックグループ ## 入力入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `フック` | HOOKS | はい | - | キーフレームスケジューリングを適用するフックグループ | -| `フック_kf` | HOOK_KEYFRAMES | いいえ | - | フック実行のタイミング情報を含むオプションのキーフレームグループ | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `フック` | キーフレームスケジューリングを適用するフックグループ | HOOKS | はい | - | +| `フック_kf` | フック実行のタイミング情報を含むオプションのキーフレームグループ | HOOK_KEYFRAMES | いいえ | - | ## 出力出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `フック` | HOOKS | キーフレームスケジューリングが適用された変更済みフックグループ（キーフレームが指定された場合は複製されたもの） | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `フック` | キーフレームスケジューリングが適用された変更済みフックグループ（キーフレームが指定された場合は複製されたもの） | HOOKS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetHookKeyframes/ja.md) --- **Source fingerprint (SHA-256):** `48908e5247b18e5b7b1d894c2f1adcf6403e499125b0c3eb05978584b3d5759b` diff --git a/ja/built-in-nodes/SetLatentNoiseMask.mdx b/ja/built-in-nodes/SetLatentNoiseMask.mdx index 0e07982d6..a4d3c804e 100644 --- a/ja/built-in-nodes/SetLatentNoiseMask.mdx +++ b/ja/built-in-nodes/SetLatentNoiseMask.mdx @@ -5,19 +5,19 @@ sidebarTitle: "SetLatentNoiseMask" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetLatentNoiseMask/ja.md) - このノードは、潜在サンプルのセットにノイズマスクを適用するために設計されています。指定されたマスクを統合することで入力サンプルを変更し、ノイズ特性を変化させます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `サンプル` | `LATENT` | ノイズマスクが適用される潜在サンプルです。このパラメータは、変更されるベースコンテンツを決定するために重要です。 | -| `マスク` | `MASK` | 潜在サンプルに適用されるマスクです。サンプル内のノイズ変更領域と強度を定義します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `サンプル` | ノイズマスクが適用される潜在サンプルです。このパラメータは、変更されるベースコンテンツを決定するために重要です。 | `LATENT` | +| `マスク` | 潜在サンプルに適用されるマスクです。サンプル内のノイズ変更領域と強度を定義します。 | `MASK` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | ノイズマスクが適用された、変更後の潜在サンプルです。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | ノイズマスクが適用された、変更後の潜在サンプルです。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetLatentNoiseMask/ja.md) diff --git a/ja/built-in-nodes/SetModelHooksOnCond.mdx b/ja/built-in-nodes/SetModelHooksOnCond.mdx index 0619ec273..44f523476 100644 --- a/ja/built-in-nodes/SetModelHooksOnCond.mdx +++ b/ja/built-in-nodes/SetModelHooksOnCond.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SetModelHooksOnCond" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetModelHooksOnCond/ja.md) - このドキュメントは AI が生成したものです。誤りや改善の提案がありましたら、ぜひご協力ください。[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetModelHooksOnCond/en.md) このノードは、コンディショニングデータにカスタムフックをアタッチし、モデル実行中にコンディショニングプロセスをインターセプトして変更できるようにします。一連のフックを受け取り、提供されたコンディショニングデータに適用することで、テキストから画像を生成するワークフローの高度なカスタマイズを実現します。フックがアタッチされた変更後のコンディショニングは、後続の処理ステップで使用するために返されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | はい | - | フックがアタッチされるコンディショニングデータ | -| `hooks` | HOOKS | はい | - | コンディショニングデータに適用されるフック定義 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `conditioning` | フックがアタッチされるコンディショニングデータ | CONDITIONING | はい | - | +| `hooks` | コンディショニングデータに適用されるフック定義 | HOOKS | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `conditioning` | CONDITIONING | フックがアタッチされた変更後のコンディショニングデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `conditioning` | フックがアタッチされた変更後のコンディショニングデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetModelHooksOnCond/ja.md) --- **Source fingerprint (SHA-256):** `a6e63a3a4d94d1b66a82d449af5ae001e1fc4a04f0f81d9fb5c4f8c13e5bdf8b` diff --git a/ja/built-in-nodes/SetUnionControlNetType.mdx b/ja/built-in-nodes/SetUnionControlNetType.mdx index a682ca40b..d5017a13a 100644 --- a/ja/built-in-nodes/SetUnionControlNetType.mdx +++ b/ja/built-in-nodes/SetUnionControlNetType.mdx @@ -5,22 +5,22 @@ sidebarTitle: "SetUnionControlNetType" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetUnionControlNetType/ja.md) - SetUnionControlNetType ノードを使用すると、条件付けに使用するコントロールネットワークのタイプを指定できます。既存のコントロールネットワークを入力として受け取り、選択に基づいてそのコントロールタイプを設定し、指定されたタイプ構成でコントロールネットワークの修正済みコピーを作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `control_net` | CONTROL_NET | はい | - | 新しいタイプ設定で修正するコントロールネットワーク | -| `タイプ` | STRING | はい | `"auto"`
利用可能なすべての UNION_CONTROLNET_TYPES キー | 適用するコントロールネットワークのタイプ。自動タイプ検出には "auto" を使用するか、利用可能なオプションから特定のコントロールネットワークタイプを選択します | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `control_net` | 新しいタイプ設定で修正するコントロールネットワーク | CONTROL_NET | はい | - | +| `タイプ` | 適用するコントロールネットワークのタイプ。自動タイプ検出には "auto" を使用するか、利用可能なオプションから特定のコントロールネットワークタイプを選択します | STRING | はい | `"auto"`
利用可能なすべての UNION_CONTROLNET_TYPES キー | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `control_net` | CONTROL_NET | 指定されたタイプ設定が適用された修正済みコントロールネットワーク | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `control_net` | 指定されたタイプ設定が適用された修正済みコントロールネットワーク | CONTROL_NET | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetUnionControlNetType/ja.md) --- **Source fingerprint (SHA-256):** `a64308aec96784f08b6f3f8e96e85f532bd1c536301739e7252b2c7978921b5a` diff --git a/ja/built-in-nodes/ShuffleDataset.mdx b/ja/built-in-nodes/ShuffleDataset.mdx index 373f633d1..8807863e1 100644 --- a/ja/built-in-nodes/ShuffleDataset.mdx +++ b/ja/built-in-nodes/ShuffleDataset.mdx @@ -5,24 +5,24 @@ sidebarTitle: "ShuffleDataset" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleDataset/ja.md) - 以下が翻訳結果です。 ## 概要データセットシャッフルノードは、画像のリストを受け取り、その順序をランダムに変更します。シード値を使用してランダム性を制御し、同じシャッフル順序を再現できるようにします。これは、データセット内の画像の順序を処理前にランダム化する際に便利です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | - | シャッフルする画像のリストです。 | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | ランダムシードです。0 を指定すると、実行ごとに異なるシャッフル結果が生成されます。（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `images` | シャッフルする画像のリストです。 | IMAGE | はい | - | +| `seed` | ランダムシードです。0 を指定すると、実行ごとに異なるシャッフル結果が生成されます。（デフォルト：0） | INT | いいえ | 0 ～ 18446744073709551615 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `images` | IMAGE | 同じ画像のリストですが、新しいランダムな順序に並べ替えられています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `images` | 同じ画像のリストですが、新しいランダムな順序に並べ替えられています。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleDataset/ja.md) --- **Source fingerprint (SHA-256):** `0b8442029995bdcedf1df0cb8d27d87aa529fb1021d911ed3016a6a7e788b246` diff --git a/ja/built-in-nodes/ShuffleImageTextDataset.mdx b/ja/built-in-nodes/ShuffleImageTextDataset.mdx index 89e961688..fa46afe28 100644 --- a/ja/built-in-nodes/ShuffleImageTextDataset.mdx +++ b/ja/built-in-nodes/ShuffleImageTextDataset.mdx @@ -5,26 +5,26 @@ sidebarTitle: "ShuffleImageTextDataset" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleImageTextDataset/ja.md) - このノードは、画像のリストとテキストのリストを一緒にシャッフルし、それらのペアリングを維持します。ランダムシードを使用してシャッフル順序を決定し、同じ入力リストが同じシードで毎回同じようにシャッフルされることを保証します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | - | シャッフルする画像のリスト。 | -| `texts` | STRING | はい | - | シャッフルするテキストのリスト。 | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | ランダムシード。シャッフル順序はこの値によって決定されます（デフォルト：0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `images` | シャッフルする画像のリスト。 | IMAGE | はい | - | +| `texts` | シャッフルするテキストのリスト。 | STRING | はい | - | +| `seed` | ランダムシード。シャッフル順序はこの値によって決定されます（デフォルト：0）。 | INT | いいえ | 0 ～ 18446744073709551615 | **注意：** `images` と `texts` の入力は、同じ長さのリストである必要があります。ノードは、最初の画像と最初のテキスト、2番目の画像と2番目のテキストをペアにしてから、これらのペアをまとめてシャッフルします。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `texts` | IMAGE | シャッフルされた画像のリスト。 | -| `texts` | STRING | シャッフルされたテキストのリスト。画像との元のペアリングを維持します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `texts` | シャッフルされた画像のリスト。 | IMAGE | +| `texts` | シャッフルされたテキストのリスト。画像との元のペアリングを維持します。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleImageTextDataset/ja.md) --- **Source fingerprint (SHA-256):** `c87cef780c98b1cf2a58a7d5faf4399c85edd647a9fdba693d008152e43d9c99` diff --git a/ja/built-in-nodes/SkipLayerGuidanceDiT.mdx b/ja/built-in-nodes/SkipLayerGuidanceDiT.mdx index c58db000d..22be580a3 100644 --- a/ja/built-in-nodes/SkipLayerGuidanceDiT.mdx +++ b/ja/built-in-nodes/SkipLayerGuidanceDiT.mdx @@ -5,31 +5,31 @@ sidebarTitle: "SkipLayerGuidanceDiT" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/ja.md) - 以下、英語ドキュメントを日本語に翻訳しました。 スキップレイヤーを使用した別のCFGネガティブセットを用いて、詳細な構造へのガイダンスを強化します。この汎用版のSkipLayerGuidanceは、すべてのDiTモデルで使用可能であり、Perturbed Attention Guidanceに着想を得ています。元の実験的実装はSD3用に作成されました。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|------|-------|-------------| -| `モデル` | MODEL | はい | - | スキップレイヤーガイダンスを適用するモデル | -| `ダブルレイヤー` | STRING | はい | - | スキップするダブルブロックのレイヤー番号（カンマ区切り、デフォルト: "7, 8, 9"） | -| `シングルレイヤー` | STRING | はい | - | スキップするシングルブロックのレイヤー番号（カンマ区切り、デフォルト: "7, 8, 9"） | -| `スケール` | FLOAT | はい | 0.0 - 10.0 | ガイダンスのスケール係数（デフォルト: 3.0） | -| `開始パーセント` | FLOAT | はい | 0.0 - 1.0 | ガイダンス適用の開始割合（デフォルト: 0.01） | -| `終了パーセント` | FLOAT | はい | 0.0 - 1.0 | ガイダンス適用の終了割合（デフォルト: 0.15） | -| `リスケーリングスケール` | FLOAT | はい | 0.0 - 10.0 | 出力の大きさを調整するリスケーリングスケール係数（デフォルト: 0.0、リスケーリングなし） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | スキップレイヤーガイダンスを適用するモデル | MODEL | はい | - | +| `ダブルレイヤー` | スキップするダブルブロックのレイヤー番号（カンマ区切り、デフォルト: "7, 8, 9"） | STRING | はい | - | +| `シングルレイヤー` | スキップするシングルブロックのレイヤー番号（カンマ区切り、デフォルト: "7, 8, 9"） | STRING | はい | - | +| `スケール` | ガイダンスのスケール係数（デフォルト: 3.0） | FLOAT | はい | 0.0 - 10.0 | +| `開始パーセント` | ガイダンス適用の開始割合（デフォルト: 0.01） | FLOAT | はい | 0.0 - 1.0 | +| `終了パーセント` | ガイダンス適用の終了割合（デフォルト: 0.15） | FLOAT | はい | 0.0 - 1.0 | +| `リスケーリングスケール` | 出力の大きさを調整するリスケーリングスケール係数（デフォルト: 0.0、リスケーリングなし） | FLOAT | はい | 0.0 - 10.0 | **注記:** `double_layers` と `single_layers` の両方が空（レイヤー番号を含まない）の場合、ノードはガイダンスを適用せずに元のモデルを返します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | スキップレイヤーガイダンスが適用された変更後のモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | スキップレイヤーガイダンスが適用された変更後のモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/ja.md) --- **Source fingerprint (SHA-256):** `cf494fbeb33e7bc3b3f798e9e9b025623afad4ea6340ef628caa776c7d42ba12` diff --git a/ja/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx b/ja/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx index 5f94e1aaf..0a69f7b37 100644 --- a/ja/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx +++ b/ja/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx @@ -5,8 +5,6 @@ sidebarTitle: "SkipLayerGuidanceDiTSimple" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiTSimple/ja.md) - 以下が翻訳結果です。 --- @@ -15,21 +13,23 @@ SkipLayerGuidanceDiT ノードのシンプルバージョンで、ノイズ除 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | スキップレイヤーガイダンスを適用するモデル | -| `二重レイヤー` | STRING | いいえ | - | スキップするダブルブロックレイヤーインデックスのカンマ区切りリスト（デフォルト: "7, 8, 9"） | -| `単一レイヤー` | STRING | いいえ | - | スキップするシングルブロックレイヤーインデックスのカンマ区切りリスト（デフォルト: "7, 8, 9"） | -| `開始パーセンテージ` | FLOAT | いいえ | 0.0 - 1.0 | スキップレイヤーガイダンスを開始するノイズ除去プロセスの開始パーセンテージ（デフォルト: 0.0） | -| `終了パーセンテージ` | FLOAT | いいえ | 0.0 - 1.0 | スキップレイヤーガイダンスを停止するノイズ除去プロセスの終了パーセンテージ（デフォルト: 1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | スキップレイヤーガイダンスを適用するモデル | MODEL | はい | - | +| `二重レイヤー` | スキップするダブルブロックレイヤーインデックスのカンマ区切りリスト（デフォルト: "7, 8, 9"） | STRING | いいえ | - | +| `単一レイヤー` | スキップするシングルブロックレイヤーインデックスのカンマ区切りリスト（デフォルト: "7, 8, 9"） | STRING | いいえ | - | +| `開始パーセンテージ` | スキップレイヤーガイダンスを開始するノイズ除去プロセスの開始パーセンテージ（デフォルト: 0.0） | FLOAT | いいえ | 0.0 - 1.0 | +| `終了パーセンテージ` | スキップレイヤーガイダンスを停止するノイズ除去プロセスの終了パーセンテージ（デフォルト: 1.0） | FLOAT | いいえ | 0.0 - 1.0 | **注記:** スキップレイヤーガイダンスは、`double_layers` と `single_layers` の両方に有効なレイヤーインデックスが含まれている場合にのみ適用されます。両方が空の場合、ノードは元のモデルを変更せずに返します。スキップレイヤーガイダンスは、現在のノイズ除去ステップのシグマ値が `start_percent` と `end_percent` の間にある場合にのみアクティブになります（内部でシグマ値に変換されます）。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 指定されたレイヤーにスキップレイヤーガイダンスが適用された変更済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 指定されたレイヤーにスキップレイヤーガイダンスが適用された変更済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiTSimple/ja.md) --- **Source fingerprint (SHA-256):** `6795a67a63d9aa8b2adea3d96e49272d88c21d0642bb507e175a2fcf3a125f98` diff --git a/ja/built-in-nodes/SkipLayerGuidanceSD3.mdx b/ja/built-in-nodes/SkipLayerGuidanceSD3.mdx index c3be84e42..f1baa6ec0 100644 --- a/ja/built-in-nodes/SkipLayerGuidanceSD3.mdx +++ b/ja/built-in-nodes/SkipLayerGuidanceSD3.mdx @@ -5,27 +5,27 @@ sidebarTitle: "SkipLayerGuidanceSD3" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceSD3/ja.md) - 以下が翻訳結果です。 SkipLayerGuidanceSD3 ノードは、スキップされたレイヤーを使用して追加の分類器フリーガイダンスを適用することで、詳細な構造へのガイダンスを強化します。この実験的な実装は、Perturbed Attention Guidance に着想を得ており、ネガティブ条件付けプロセス中に特定のレイヤーを選択的にバイパスすることで、生成出力の構造的詳細を改善します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | スキップレイヤーガイダンスを適用するモデル | -| `レイヤー` | STRING | はい | - | スキップするレイヤーインデックスのカンマ区切りリスト（デフォルト: "7, 8, 9"） | -| `スケール` | FLOAT | はい | 0.0 - 10.0 | スキップレイヤーガイダンス効果の強さ（デフォルト: 3.0） | -| `開始パーセント` | FLOAT | はい | 0.0 - 1.0 | ガイダンス適用の開始位置（全ステップに対する割合）（デフォルト: 0.01） | -| `終了パーセント` | FLOAT | はい | 0.0 - 1.0 | ガイダンス適用の終了位置（全ステップに対する割合）（デフォルト: 0.15） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | スキップレイヤーガイダンスを適用するモデル | MODEL | はい | - | +| `レイヤー` | スキップするレイヤーインデックスのカンマ区切りリスト（デフォルト: "7, 8, 9"） | STRING | はい | - | +| `スケール` | スキップレイヤーガイダンス効果の強さ（デフォルト: 3.0） | FLOAT | はい | 0.0 - 10.0 | +| `開始パーセント` | ガイダンス適用の開始位置（全ステップに対する割合）（デフォルト: 0.01） | FLOAT | はい | 0.0 - 1.0 | +| `終了パーセント` | ガイダンス適用の終了位置（全ステップに対する割合）（デフォルト: 0.15） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | スキップレイヤーガイダンスが適用された変更後のモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | スキップレイヤーガイダンスが適用された変更後のモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceSD3/ja.md) --- **Source fingerprint (SHA-256):** `97c8220abd223bd35b4d0274c2b4536ffb6be7954ccd917943905bd22f60c1a5` diff --git a/ja/built-in-nodes/SolidMask.mdx b/ja/built-in-nodes/SolidMask.mdx index d157b3e1f..acf3eb3f8 100644 --- a/ja/built-in-nodes/SolidMask.mdx +++ b/ja/built-in-nodes/SolidMask.mdx @@ -5,20 +5,20 @@ sidebarTitle: "SolidMask" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SolidMask/ja.md) - SolidMaskノードは、指定された値で全面が均一なマスクを生成します。特定の寸法と強度を持つマスクを作成するために設計されており、さまざまな画像処理やマスキングタスクで役立ちます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `値` | FLOAT | マスクの強度値を指定します。その後の処理におけるマスクの全体的な外観と有用性に影響します。 | -| `幅` | INT | 生成されるマスクの幅を決定します。サイズとアスペクト比に直接影響します。 | -| `高さ` | INT | 生成されるマスクの高さを設定します。サイズとアスペクト比に影響します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `値` | マスクの強度値を指定します。その後の処理におけるマスクの全体的な外観と有用性に影響します。 | FLOAT | +| `幅` | 生成されるマスクの幅を決定します。サイズとアスペクト比に直接影響します。 | INT | +| `高さ` | 生成されるマスクの高さを設定します。サイズとアスペクト比に影響します。 | INT | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `mask` | MASK | 指定された寸法と値を持つ均一なマスクを出力します。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `mask` | 指定された寸法と値を持つ均一なマスクを出力します。 | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SolidMask/ja.md) diff --git a/ja/built-in-nodes/SoniloTextToMusic.mdx b/ja/built-in-nodes/SoniloTextToMusic.mdx index cae6a94b5..9af063ec9 100644 --- a/ja/built-in-nodes/SoniloTextToMusic.mdx +++ b/ja/built-in-nodes/SoniloTextToMusic.mdx @@ -5,27 +5,27 @@ sidebarTitle: "SoniloTextToMusic" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloTextToMusic/ja.md) - 以下が翻訳結果です。 Sonilo Text to Music ノードは、Sonilo の AI モデルを使用して、テキストによる説明から音楽を生成します。生成したい音楽を説明するプロンプトを入力すると、ノードが Sonilo サービスにリクエストを送信し、オーディオファイルを作成します。ターゲットとなる再生時間を指定するか、モデルにプロンプトから推測させることもできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | なし | 生成する音楽を説明するテキストプロンプト。必須項目です。 | -| `duration` | INT | いいえ | 0 ～ 360 | ターゲットとなる再生時間（秒単位）。0 に設定すると、モデルがプロンプトから再生時間を推測します。最大：6 分（360 秒）。デフォルト：0。 | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | 再現性のためのシード値。現在 Sonilo サービスでは無視されますが、グラフの一貫性のために保持されています。デフォルト：0。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | 生成する音楽を説明するテキストプロンプト。必須項目です。 | STRING | はい | なし | +| `duration` | ターゲットとなる再生時間（秒単位）。0 に設定すると、モデルがプロンプトから再生時間を推測します。最大：6 分（360 秒）。デフォルト：0。 | INT | いいえ | 0 ～ 360 | +| `seed` | 再現性のためのシード値。現在 Sonilo サービスでは無視されますが、グラフの一貫性のために保持されています。デフォルト：0。 | INT | いいえ | 0 ～ 18446744073709551615 | **注記：** `seed` 入力はワークフローの一貫性のために提供されていますが、現在 Sonilo サービスの出力には影響しません。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `audio` | AUDIO | 生成された音楽のオーディオファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `audio` | 生成された音楽のオーディオファイル。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloTextToMusic/ja.md) --- **Source fingerprint (SHA-256):** `aac2762d9310179279ed7dcc9766f38342400902de2f8791b78d8092a96b86b4` diff --git a/ja/built-in-nodes/SoniloVideoToMusic.mdx b/ja/built-in-nodes/SoniloVideoToMusic.mdx index dded16179..5c5095280 100644 --- a/ja/built-in-nodes/SoniloVideoToMusic.mdx +++ b/ja/built-in-nodes/SoniloVideoToMusic.mdx @@ -5,25 +5,25 @@ sidebarTitle: "SoniloVideoToMusic" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloVideoToMusic/ja.md) - 以下が翻訳結果です。 SoniloのAIモデルを使用して、動画から音楽を生成します。このノードは入力された動画の内容を分析し、それに合った楽曲を作成します。動画の処理と音声の生成には、外部のAIサービスを利用します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | はい | - | 音楽を生成するための入力動画です。最大長は6分です。 | -| `prompt` | STRING | いいえ | - | 音楽生成をガイドするためのオプションのテキストプロンプトです。最高の品質を得るためには空のままにしてください。モデルが動画の内容を完全に分析します。（デフォルト：空文字列） | -| `seed` | INT | いいえ | 0 から 18446744073709551615 | 再現性のためのシード値です。現在Soniloサービスでは無視されますが、グラフの一貫性のために保持されています。（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `video` | 音楽を生成するための入力動画です。最大長は6分です。 | VIDEO | はい | - | +| `prompt` | 音楽生成をガイドするためのオプションのテキストプロンプトです。最高の品質を得るためには空のままにしてください。モデルが動画の内容を完全に分析します。（デフォルト：空文字列） | STRING | いいえ | - | +| `seed` | 再現性のためのシード値です。現在Soniloサービスでは無視されますが、グラフの一貫性のために保持されています。（デフォルト：0） | INT | いいえ | 0 から 18446744073709551615 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `audio` | AUDIO | 生成された音楽のオーディオファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `audio` | 生成された音楽のオーディオファイルです。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloVideoToMusic/ja.md) --- **Source fingerprint (SHA-256):** `542fff1d8db8e48156bf9d1ff4690c91a7d71676332eef4708a6d36686abb31e` diff --git a/ja/built-in-nodes/SplatToFile3D.mdx b/ja/built-in-nodes/SplatToFile3D.mdx new file mode 100644 index 000000000..03824d2c0 --- /dev/null +++ b/ja/built-in-nodes/SplatToFile3D.mdx @@ -0,0 +1,30 @@ +--- +title: "SplatToFile3D - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplatToFile3D node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplatToFile3D" +icon: "circle" +mode: wide +--- +# SplatToFile3D ノードドキュメント + +## 概要 + +SplatToFile3Dノードは、ガウシアンスプラットをFile3Dオブジェクトに変換します。このオブジェクトは、SaveノードやPreview 3Dノードで使用できます。バッチあたり1アイテムのみをサポートし、エクスポートする3Dデータの出力ファイル形式を選択できます。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `splat` | ファイルにシリアライズするガウシアンスプラットデータ | SPLAT | はい | - | +| `フォーマット` | 3Dファイルの出力ファイル形式。ply: 完全な球面調和関数を持つ標準的な3Dガウシアンスプラット。ksplat: mkkellogg SplatBuffer（レベル0、非圧縮）、ベースカラーのみ。spz: Niantic gzip圧縮（約10分の1）、ベースカラーのみ（デフォルト: "ply"） | COMBO | はい | `"ply"`
`"ksplat"`
`"spz"` | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `model_3d` | 選択された形式でシリアライズされたガウシアンスプラットデータを含むFile3Dオブジェクト。保存またはプレビューの準備ができています | FILE3D | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplatToFile3D/ja.md) + +--- +**Source fingerprint (SHA-256):** `c04fe04faa8ce81ad699e67c00d047550b0cadbfd037b687331f76944501a9f6` diff --git a/ja/built-in-nodes/SplatToMesh.mdx b/ja/built-in-nodes/SplatToMesh.mdx new file mode 100644 index 000000000..2a5cc1f4b --- /dev/null +++ b/ja/built-in-nodes/SplatToMesh.mdx @@ -0,0 +1,34 @@ +--- +title: "SplatToMesh - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplatToMesh node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplatToMesh" +icon: "circle" +mode: wide +--- +# スプラットからメッシュを抽出 + +このノードは、3Dガウシアンスプラットを色付きメッシュサーフェスに変換します。ガウシアンを密度グリッドにラスタライズし、選択した密度レベルで等値面を抽出し、必要に応じてスムージングとクリーンアップを適用することで、クリーンな色付き三角形メッシュを生成します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `splat` | メッシュに変換する入力ガウシアンスプラット | SPLAT | はい | - | +| `解像度` | 最長軸に沿った密度グリッドの解像度。値が大きいほど細かいサーフェスの詳細が得られますが、より多くのVRAMと処理時間を必要とします（解像度^3に比例して増加）。デフォルト：384 | INT | はい | 64 - 768（ステップ16） | +| `カーネル` | ボクセル単位での最大スプラット半幅。各ガウシアンは、自身の3シグマに応じたウィンドウサイズでラスタライズされ、この値で上限が設定されます。小さなサーフェルは効率的に処理され、大きなものは切り捨てられません。スパースなスプラットで隙間が生じる場合は値を上げてください。デフォルト：5 | INT | はい | 1 - 8 | +| `スムーズ` | Taubinメッシュスムージングの反復回数。密度をぼかすのとは異なり、サーフェスを収縮させずに（体積を保持して）滑らかにします。0はスムージングなしを意味します。デフォルト：0 | INT | はい | 0 - 60 | +| `レベル` | 等値面レベル。大津の閾値処理により自動選択されます。この値は自動選択にバイアスをかけます（1.0 = 自動、低い値はより太く/接続性の高いサーフェスを生成し、高い値はより薄く/タイトなサーフェスを生成します）。デフォルト：0.4 | FLOAT | はい | 0.0 - 2.0（ステップ0.01） | +| `最小コンポーネント` | 指定した頂点数より小さい連結コンポーネントを削除します。浮遊する塊や二重壁の内側シェルを取り除きます。0はすべてのコンポーネントを保持します。デフォルト：500 | INT | はい | 0 - 100000（ステップ50） | +| `最小不透明度` | メッシュ化前に、この値より薄いガウシアンを無視します。デフォルト：0.02 | FLOAT | はい | 0.0 - 1.0（ステップ0.01） | +| `色シャープ化` | 頂点テクスチャを鮮明にします。1.0は物理的に正しいブレンドを提供し、高い値は各ボクセルの色を隣接平均ではなく支配的なガウシアンに偏らせます（テクスチャのぼやけを低減）。色にのみ影響し、形状には影響しません。デフォルト：2.0 | FLOAT | はい | 1.0 - 8.0（ステップ0.5） | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `mesh` | スプラットの外観に合わせて非照明レンダリング（発光風）で抽出された色付きメッシュ | MESH | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplatToMesh/ja.md) + +--- +**Source fingerprint (SHA-256):** `5a7060c26252b587ce533e5682abe880a6fcc83f6671232489c3de64b094cd84` diff --git a/ja/built-in-nodes/SplitAudioChannels.mdx b/ja/built-in-nodes/SplitAudioChannels.mdx index 75db539ab..0ae731bed 100644 --- a/ja/built-in-nodes/SplitAudioChannels.mdx +++ b/ja/built-in-nodes/SplitAudioChannels.mdx @@ -5,24 +5,24 @@ sidebarTitle: "SplitAudioChannels" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitAudioChannels/ja.md) - SplitAudioChannelsノードは、ステレオ音声を左右個別のチャンネルに分離します。2チャンネルのステレオ音声入力を受け取り、左チャンネルと右チャンネルの2つの個別の音声ストリームを出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `オーディオ` | AUDIO | はい | - | チャンネル分離するステレオ音声入力 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `オーディオ` | チャンネル分離するステレオ音声入力 | AUDIO | はい | - | **注意：** 入力音声は正確に2チャンネル（ステレオ）である必要があります。入力音声が1チャンネルの場合、ノードはエラーを発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `右` | AUDIO | 分離された左チャンネルの音声 | -| `right` | AUDIO | 分離された右チャンネルの音声 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `右` | 分離された左チャンネルの音声 | AUDIO | +| `right` | 分離された右チャンネルの音声 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitAudioChannels/ja.md) --- **Source fingerprint (SHA-256):** `48f329f3eb9749e75eda1038c43caf42ee63d8a1fa66ab29ad3d34b5d136e323` diff --git a/ja/built-in-nodes/SplitImageToTileList.mdx b/ja/built-in-nodes/SplitImageToTileList.mdx index ea4564336..7f663a9a1 100644 --- a/ja/built-in-nodes/SplitImageToTileList.mdx +++ b/ja/built-in-nodes/SplitImageToTileList.mdx @@ -5,26 +5,26 @@ sidebarTitle: "SplitImageToTileList" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageToTileList/ja.md) - 以下が翻訳結果です。 画像をタイルリストに分割ノードは、単一の入力画像を、タイルと呼ばれるより小さな重なり合う長方形の領域のシリーズに分割します。このノードは、これらのタイルのバッチ化されたリストを作成し、他のノードで個別に処理できるようにします。各タイルのサイズとタイル間の重なり量を指定できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | タイルに分割される入力画像です。 | -| `tile_width` | INT | はい | 64 ～ 1048576 | 各出力タイルの幅（ピクセル単位、デフォルト：1024）です。 | -| `tile_height` | INT | はい | 64 ～ 1048576 | 各出力タイルの高さ（ピクセル単位、デフォルト：1024）です。 | -| `overlap` | INT | はい | 0 ～ 4096 | 隣接するタイルが重なるピクセル数（デフォルト：128）です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | タイルに分割される入力画像です。 | IMAGE | はい | - | +| `tile_width` | 各出力タイルの幅（ピクセル単位、デフォルト：1024）です。 | INT | はい | 64 ～ 1048576 | +| `tile_height` | 各出力タイルの高さ（ピクセル単位、デフォルト：1024）です。 | INT | はい | 64 ～ 1048576 | +| `overlap` | 隣接するタイルが重なるピクセル数（デフォルト：128）です。 | INT | はい | 0 ～ 4096 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | すべての個別の画像タイルを含むバッチ化されたリストです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | すべての個別の画像タイルを含むバッチ化されたリストです。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageToTileList/ja.md) --- **Source fingerprint (SHA-256):** `26991a325b7b9358cd7338348e93c57695b1ed1aa1983962794f889c94c34547` diff --git a/ja/built-in-nodes/SplitImageWithAlpha.mdx b/ja/built-in-nodes/SplitImageWithAlpha.mdx index a8fb643bd..59f728aff 100644 --- a/ja/built-in-nodes/SplitImageWithAlpha.mdx +++ b/ja/built-in-nodes/SplitImageWithAlpha.mdx @@ -5,21 +5,21 @@ sidebarTitle: "SplitImageWithAlpha" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageWithAlpha/ja.md) - ### SplitImageWithAlpha ノード SplitImageWithAlpha ノードは、画像の色成分とアルファ成分を分離するために設計されています。入力画像テンソルを処理し、RGBチャンネルを色成分として、アルファチャンネルを透明度成分として抽出することで、これらの異なる画像要素の操作を必要とする処理を容易にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|----------|------| -| `画像` | `IMAGE` | 「image」パラメータは、RGBチャンネルとアルファチャンネルを分離する対象の入力画像テンソルを表します。分離処理のためのソースデータを提供するため、この操作において重要です。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 「image」パラメータは、RGBチャンネルとアルファチャンネルを分離する対象の入力画像テンソルを表します。分離処理のためのソースデータを提供するため、この操作において重要です。 | `IMAGE` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|----------|------| -| `画像` | `IMAGE` | 「image」出力は、入力画像から分離されたRGBチャンネルを表し、透明度情報を含まない色成分を提供します。 | -| `mask` | `MASK` | 「mask」出力は、入力画像から分離されたアルファチャンネルを表し、透明度情報を提供します。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 「image」出力は、入力画像から分離されたRGBチャンネルを表し、透明度情報を含まない色成分を提供します。 | `IMAGE` | +| `mask` | 「mask」出力は、入力画像から分離されたアルファチャンネルを表し、透明度情報を提供します。 | `MASK` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageWithAlpha/ja.md) diff --git a/ja/built-in-nodes/SplitSigmas.mdx b/ja/built-in-nodes/SplitSigmas.mdx index f6fa5b646..c27d2e663 100644 --- a/ja/built-in-nodes/SplitSigmas.mdx +++ b/ja/built-in-nodes/SplitSigmas.mdx @@ -5,19 +5,19 @@ sidebarTitle: "SplitSigmas" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmas/ja.md) - SplitSigmasノードは、指定されたステップに基づいてシグマ値のシーケンスを2つの部分に分割するために設計されています。この機能は、シグマシーケンスの最初の部分と後続部分に対して異なる処理や操作が必要な場合に重要であり、これらの値のより柔軟かつターゲットを絞った操作を可能にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `シグマ` | `SIGMAS` | 「sigmas」パラメータは、分割されるシグマ値のシーケンスを表します。分割点と結果として得られる2つのシグマ値シーケンスを決定するために不可欠であり、ノードの実行と結果に影響を与えます。 | -| `ステップ` | `INT` | 「step」パラメータは、シグマシーケンスを分割するインデックスを指定します。結果として得られる2つのシグマシーケンス間の境界を定義する上で重要な役割を果たし、ノードの機能と出力の特性に影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `シグマ` | 「sigmas」パラメータは、分割されるシグマ値のシーケンスを表します。分割点と結果として得られる2つのシグマ値シーケンスを決定するために不可欠であり、ノードの実行と結果に影響を与えます。 | `SIGMAS` | +| `ステップ` | 「step」パラメータは、シグマシーケンスを分割するインデックスを指定します。結果として得られる2つのシグマシーケンス間の境界を定義する上で重要な役割を果たし、ノードの機能と出力の特性に影響を与えます。 | `INT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `低シグマ` | `SIGMAS` | ノードは2つのシグマ値シーケンスを出力します。それぞれは、指定されたステップで分割された元のシーケンスの一部を表します。これらの出力は、シグマ値の異なる処理が必要な後続の操作にとって重要です。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `低シグマ` | ノードは2つのシグマ値シーケンスを出力します。それぞれは、指定されたステップで分割された元のシーケンスの一部を表します。これらの出力は、シグマ値の異なる処理が必要な後続の操作にとって重要です。 | `SIGMAS` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmas/ja.md) diff --git a/ja/built-in-nodes/SplitSigmasDenoise.mdx b/ja/built-in-nodes/SplitSigmasDenoise.mdx index e03254cda..80459fce0 100644 --- a/ja/built-in-nodes/SplitSigmasDenoise.mdx +++ b/ja/built-in-nodes/SplitSigmasDenoise.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SplitSigmasDenoise" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmasDenoise/ja.md) - SplitSigmasDenoiseノードは、ノイズ除去強度パラメータに基づいてシグマ値のシーケンスを2つの部分に分割します。入力されたシグマを高シグマシーケンスと低シグマシーケンスに分割し、分割点は総ステップ数にノイズ除去係数を乗じて決定されます。これにより、ノイズスケジュールを異なる強度範囲に分離し、特殊な処理を行うことが可能になります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `シグマ` | SIGMAS | はい | - | ノイズスケジュールを表すシグマ値の入力シーケンス | -| `ノイズ除去` | FLOAT | はい | 0.0 - 1.0 | シグマシーケンスの分割位置を決定するノイズ除去強度係数（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `シグマ` | ノイズスケジュールを表すシグマ値の入力シーケンス | SIGMAS | はい | - | +| `ノイズ除去` | シグマシーケンスの分割位置を決定するノイズ除去強度係数（デフォルト：1.0） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `低シグマ` | SIGMAS | より高いシグマ値を含むシグマシーケンスの前半部分 | -| `low_sigmas` | SIGMAS | より低いシグマ値を含むシグマシーケンスの後半部分 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `低シグマ` | より高いシグマ値を含むシグマシーケンスの前半部分 | SIGMAS | +| `low_sigmas` | より低いシグマ値を含むシグマシーケンスの後半部分 | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmasDenoise/ja.md) --- **Source fingerprint (SHA-256):** `fda53efe2fcaed9244376b7360d8b0b76ce7395d594de4c2ecc48a8f243d7ca6` diff --git a/ja/built-in-nodes/StabilityAudioInpaint.mdx b/ja/built-in-nodes/StabilityAudioInpaint.mdx index 57fddd9b7..a4a909779 100644 --- a/ja/built-in-nodes/StabilityAudioInpaint.mdx +++ b/ja/built-in-nodes/StabilityAudioInpaint.mdx @@ -5,32 +5,32 @@ sidebarTitle: "StabilityAudioInpaint" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioInpaint/ja.md) - 以下が翻訳結果です。 テキスト指示を使用して、既存のオーディオサンプルの一部を変換します。このノードでは、説明的なプロンプトを提供することでオーディオの特定のセクションを変更し、残りの部分を保持しながら選択した部分を効果的に「インペイント」または再生成できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | "stable-audio-2.5" | オーディオインペイントに使用するAIモデル。 | -| `プロンプト` | STRING | はい | | オーディオの変換方法を指示するテキスト説明（デフォルト：空）。 | -| `オーディオ` | AUDIO | はい | | 変換する入力オーディオファイル。オーディオの長さは6秒から190秒の間である必要があります。 | -| `再生時間` | INT | いいえ | 1-190 | 生成されるオーディオの長さを秒単位で制御します（デフォルト：190）。 | -| `シード` | INT | いいえ | 0-4294967294 | 生成に使用されるランダムシード（デフォルト：0）。 | -| `ステップ数` | INT | いいえ | 4-8 | サンプリングステップ数を制御します（デフォルト：8）。 | -| `マスク開始位置` | INT | いいえ | 0-190 | 変換するオーディオセクションの開始位置（秒単位）（デフォルト：30）。 | -| `マスク終了位置` | INT | いいえ | 0-190 | 変換するオーディオセクションの終了位置（秒単位）（デフォルト：190）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | オーディオインペイントに使用するAIモデル。 | COMBO | はい | "stable-audio-2.5" | +| `プロンプト` | オーディオの変換方法を指示するテキスト説明（デフォルト：空）。 | STRING | はい | | +| `オーディオ` | 変換する入力オーディオファイル。オーディオの長さは6秒から190秒の間である必要があります。 | AUDIO | はい | | +| `再生時間` | 生成されるオーディオの長さを秒単位で制御します（デフォルト：190）。 | INT | いいえ | 1-190 | +| `シード` | 生成に使用されるランダムシード（デフォルト：0）。 | INT | いいえ | 0-4294967294 | +| `ステップ数` | サンプリングステップ数を制御します（デフォルト：8）。 | INT | いいえ | 4-8 | +| `マスク開始位置` | 変換するオーディオセクションの開始位置（秒単位）（デフォルト：30）。 | INT | いいえ | 0-190 | +| `マスク終了位置` | 変換するオーディオセクションの終了位置（秒単位）（デフォルト：190）。 | INT | いいえ | 0-190 | **注記：** `mask_end` の値は `mask_start` の値より大きくなければなりません。入力オーディオの長さは6秒から190秒の間である必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `オーディオ` | AUDIO | 指定されたセクションがプロンプトに従って変更された、変換後のオーディオ出力。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `オーディオ` | 指定されたセクションがプロンプトに従って変更された、変換後のオーディオ出力。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioInpaint/ja.md) --- **Source fingerprint (SHA-256):** `6589fdbff8387e403055c711a61bb3000d87e5f8cd3753d6e665b723be6f43e2` diff --git a/ja/built-in-nodes/StabilityAudioToAudio.mdx b/ja/built-in-nodes/StabilityAudioToAudio.mdx index ab85c99d2..14d5a1b15 100644 --- a/ja/built-in-nodes/StabilityAudioToAudio.mdx +++ b/ja/built-in-nodes/StabilityAudioToAudio.mdx @@ -5,29 +5,29 @@ sidebarTitle: "StabilityAudioToAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioToAudio/ja.md) - 既存のオーディオサンプルをテキスト指示に基づいて新しい高品質な作品に変換します。このノードは入力オーディオファイルを受け取り、テキストプロンプトに従ってオーディオコンテンツを変更します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | "stable-audio-2.5"
| オーディオ変換に使用するAIモデル | -| `プロンプト` | STRING | はい | | オーディオの変換方法を説明するテキスト指示（デフォルト：空） | -| `オーディオ` | AUDIO | はい | | オーディオの長さは6秒から190秒の間である必要があります | -| `duration` | INT | いいえ | 1-190 | 生成されるオーディオの長さを秒単位で制御します（デフォルト：190） | -| `seed` | INT | いいえ | 0-4294967294 | 生成に使用されるランダムシード（デフォルト：0） | -| `steps` | INT | いいえ | 4-8 | サンプリングステップ数を制御します（デフォルト：8） | -| `strength` | FLOAT | いいえ | 0.01-1.0 | オーディオパラメータが生成されるオーディオに与える影響の度合いを制御します（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | オーディオ変換に使用するAIモデル | COMBO | はい | "stable-audio-2.5"
| +| `プロンプト` | オーディオの変換方法を説明するテキスト指示（デフォルト：空） | STRING | はい | | +| `オーディオ` | オーディオの長さは6秒から190秒の間である必要があります | AUDIO | はい | | +| `duration` | 生成されるオーディオの長さを秒単位で制御します（デフォルト：190） | INT | いいえ | 1-190 | +| `seed` | 生成に使用されるランダムシード（デフォルト：0） | INT | いいえ | 0-4294967294 | +| `steps` | サンプリングステップ数を制御します（デフォルト：8） | INT | いいえ | 4-8 | +| `strength` | オーディオパラメータが生成されるオーディオに与える影響の度合いを制御します（デフォルト：1.0） | FLOAT | いいえ | 0.01-1.0 | **注意：** 入力オーディオの長さは6秒から190秒の間である必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `オーディオ` | AUDIO | 入力オーディオとテキストプロンプトに基づいて生成された変換済みオーディオ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `オーディオ` | 入力オーディオとテキストプロンプトに基づいて生成された変換済みオーディオ | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioToAudio/ja.md) --- **Source fingerprint (SHA-256):** `d63ee2585be1ec1a21da72656ecea37f051a56595b15637013e515eb298fc4dc` diff --git a/ja/built-in-nodes/StabilityStableImageSD_3_5Node.mdx b/ja/built-in-nodes/StabilityStableImageSD_3_5Node.mdx index 24c98d453..b150c7df6 100644 --- a/ja/built-in-nodes/StabilityStableImageSD_3_5Node.mdx +++ b/ja/built-in-nodes/StabilityStableImageSD_3_5Node.mdx @@ -5,31 +5,31 @@ sidebarTitle: "StabilityStableImageSD_3_5Node" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/ja.md) - このノードは、Stability AI の Stable Diffusion 3.5 モデルを使用して画像を同期的に生成します。テキストプロンプトに基づいて画像を作成し、入力として既存の画像が提供された場合はその画像を修正することもできます。出力をカスタマイズするために、さまざまなアスペクト比やスタイルプリセットをサポートしています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | 出力画像に表示したい内容。要素、色、被写体を明確に定義した、説明的で強力なプロンプトを使用すると、より良い結果が得られます。（デフォルト：空文字列） | -| `モデル` | COMBO | はい | `sd3.5-large`
`sd3.5-large-turbo`
`sd3.5-medium` | 生成に使用する Stable Diffusion 3.5 モデル。 | -| `アスペクト比` | COMBO | はい | `16:9`
`1:1`
`21:9`
`2:3`
`3:2`
`4:5`
`5:4`
`9:16`
`9:21` | 生成画像のアスペクト比。（デフォルト：1:1） | -| `スタイルプリセット` | COMBO | いいえ | `3d-model`
`analog-film`
`anime`
`cinematic`
`comic-book`
`digital-art`
`enhance`
`fantasy-art`
`isometric`
`line-art`
`low-poly`
`modeling-compound`
`neon-punk`
`origami`
`photographic`
`pixel-art`
`tile-texture`
`None` | 生成画像に適用するオプションのスタイル。「None」を選択するとスタイルプリセットは適用されません。 | -| `cfgスケール` | FLOAT | はい | 1.0 ～ 10.0 | 拡散プロセスがプロンプトテキストにどの程度厳密に従うか（値が大きいほど、画像がプロンプトに近づきます）。（デフォルト：4.0） | -| `シード` | INT | はい | 0 ～ 4294967294 | ノイズ生成に使用されるランダムシード。（デフォルト：0） | -| `画像` | IMAGE | いいえ | - | 画像間生成用のオプションの入力画像。提供された場合、ノードは画像間生成モードに切り替わり、`アスペクト比` パラメータは無視されます。 | -| `ネガティブプロンプト` | STRING | いいえ | - | 出力画像に表示したくないキーワード。これは高度な機能です。（デフォルト：空文字列） | -| `画像ノイズ除去` | FLOAT | いいえ | 0.0 ～ 1.0 | 入力画像のノイズ除去率。0.0 では入力画像と同一の画像が生成され、1.0 では画像が提供されなかった場合と同様になります。（デフォルト：0.5）このパラメータは `画像` が提供された場合のみ使用されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 出力画像に表示したい内容。要素、色、被写体を明確に定義した、説明的で強力なプロンプトを使用すると、より良い結果が得られます。（デフォルト：空文字列） | STRING | はい | - | +| `モデル` | 生成に使用する Stable Diffusion 3.5 モデル。 | COMBO | はい | `sd3.5-large`
`sd3.5-large-turbo`
`sd3.5-medium` | +| `アスペクト比` | 生成画像のアスペクト比。（デフォルト：1:1） | COMBO | はい | `16:9`
`1:1`
`21:9`
`2:3`
`3:2`
`4:5`
`5:4`
`9:16`
`9:21` | +| `スタイルプリセット` | 生成画像に適用するオプションのスタイル。「None」を選択するとスタイルプリセットは適用されません。 | COMBO | いいえ | `3d-model`
`analog-film`
`anime`
`cinematic`
`comic-book`
`digital-art`
`enhance`
`fantasy-art`
`isometric`
`line-art`
`low-poly`
`modeling-compound`
`neon-punk`
`origami`
`photographic`
`pixel-art`
`tile-texture`
`None` | +| `cfgスケール` | 拡散プロセスがプロンプトテキストにどの程度厳密に従うか（値が大きいほど、画像がプロンプトに近づきます）。（デフォルト：4.0） | FLOAT | はい | 1.0 ～ 10.0 | +| `シード` | ノイズ生成に使用されるランダムシード。（デフォルト：0） | INT | はい | 0 ～ 4294967294 | +| `画像` | 画像間生成用のオプションの入力画像。提供された場合、ノードは画像間生成モードに切り替わり、`アスペクト比` パラメータは無視されます。 | IMAGE | いいえ | - | +| `ネガティブプロンプト` | 出力画像に表示したくないキーワード。これは高度な機能です。（デフォルト：空文字列） | STRING | いいえ | - | +| `画像ノイズ除去` | 入力画像のノイズ除去率。0.0 では入力画像と同一の画像が生成され、1.0 では画像が提供されなかった場合と同様になります。（デフォルト：0.5）このパラメータは `画像` が提供された場合のみ使用されます。 | FLOAT | いいえ | 0.0 ～ 1.0 | **注記：** `image` が提供された場合、ノードは画像間生成モードに切り替わり、`aspect_ratio` パラメータは入力画像から自動的に決定されます。`image` が提供されない場合、`image_denoise` パラメータは無視されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 生成または修正された画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 生成または修正された画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/ja.md) --- **Source fingerprint (SHA-256):** `80dbb27f19bb3286ee988f020f7f65623a73d7cac77ca0cdfc7a428254102aa3` diff --git a/ja/built-in-nodes/StabilityStableImageUltraNode.mdx b/ja/built-in-nodes/StabilityStableImageUltraNode.mdx index 096d5f600..4c304b141 100644 --- a/ja/built-in-nodes/StabilityStableImageUltraNode.mdx +++ b/ja/built-in-nodes/StabilityStableImageUltraNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "StabilityStableImageUltraNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/ja.md) - プロンプトと解像度に基づいて画像を同期的に生成します。このノードは、Stability AI の Stable Image Ultra モデルを使用して画像を作成し、テキストプロンプトを処理して、指定されたアスペクト比とスタイルで対応する画像を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 出力画像に表示したい内容を記述します。要素、色、被写体を明確に定義した、説明的で強力なプロンプトを使用すると、より良い結果が得られます。特定の単語の重みを制御するには、`(word:weight)` 形式を使用します。ここで、`word` は重みを制御したい単語、`weight` は0から1の間の値です。例：`The sky was a crisp (blue:0.3) and (green:0.8)` は、空が青と緑であるが、青よりも緑が強いことを表現します。 | -| `aspect_ratio` | COMBO | はい | `"1:1"`
`"16:9"`
`"21:9"`
`"2:3"`
`"3:2"`
`"4:5"`
`"5:4"`
`"9:16"`
`"9:21"` | 生成される画像のアスペクト比（デフォルト："1:1"）。 | -| `style_preset` | COMBO | いいえ | `"3d-model"`
`"analog-film"`
`"anime"`
`"cinematic"`
`"comic-book"`
`"digital-art"`
`"enhance"`
`"fantasy-art"`
`"isometric"`
`"line-art"`
`"low-poly"`
`"modeling-compound"`
`"neon-punk"`
`"origami"`
`"photographic"`
`"pixel-art"`
`"tile-texture"` | 生成される画像のオプションの希望スタイル。「None」を選択すると、スタイルプリセットは適用されません。 | -| `seed` | INT | はい | 0 - 4294967294 | ノイズ生成に使用されるランダムシード。 | -| `image` | IMAGE | いいえ | - | 画像から画像への生成用のオプションの入力画像。 | -| `negative_prompt` | STRING | いいえ | - | 出力画像に表示したくない内容を説明するテキスト。これは高度な機能です。 | -| `image_denoise` | FLOAT | いいえ | 0.0 - 1.0 | 入力画像のノイズ除去レベル。0.0 は入力画像と同一の画像を生成し、1.0 は画像がまったく提供されなかった場合と同様の結果になります（デフォルト：0.5）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | 出力画像に表示したい内容を記述します。要素、色、被写体を明確に定義した、説明的で強力なプロンプトを使用すると、より良い結果が得られます。特定の単語の重みを制御するには、`(word:weight)` 形式を使用します。ここで、`word` は重みを制御したい単語、`weight` は0から1の間の値です。例：`The sky was a crisp (blue:0.3) and (green:0.8)` は、空が青と緑であるが、青よりも緑が強いことを表現します。 | STRING | はい | - | +| `aspect_ratio` | 生成される画像のアスペクト比（デフォルト："1:1"）。 | COMBO | はい | `"1:1"`
`"16:9"`
`"21:9"`
`"2:3"`
`"3:2"`
`"4:5"`
`"5:4"`
`"9:16"`
`"9:21"` | +| `style_preset` | 生成される画像のオプションの希望スタイル。「None」を選択すると、スタイルプリセットは適用されません。 | COMBO | いいえ | `"3d-model"`
`"analog-film"`
`"anime"`
`"cinematic"`
`"comic-book"`
`"digital-art"`
`"enhance"`
`"fantasy-art"`
`"isometric"`
`"line-art"`
`"low-poly"`
`"modeling-compound"`
`"neon-punk"`
`"origami"`
`"photographic"`
`"pixel-art"`
`"tile-texture"` | +| `seed` | ノイズ生成に使用されるランダムシード。 | INT | はい | 0 - 4294967294 | +| `image` | 画像から画像への生成用のオプションの入力画像。 | IMAGE | いいえ | - | +| `negative_prompt` | 出力画像に表示したくない内容を説明するテキスト。これは高度な機能です。 | STRING | いいえ | - | +| `image_denoise` | 入力画像のノイズ除去レベル。0.0 は入力画像と同一の画像を生成し、1.0 は画像がまったく提供されなかった場合と同様の結果になります（デフォルト：0.5）。 | FLOAT | いいえ | 0.0 - 1.0 | **注記：** 入力画像が提供されない場合、`image_denoise` パラメータは自動的に無効化され、無視されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | 入力パラメータに基づいて生成された画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力パラメータに基づいて生成された画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/ja.md) --- **Source fingerprint (SHA-256):** `2fd9e106a3460a39c33ecc9a15ab6414dab1914fdc43e4f546827e02c889cf62` diff --git a/ja/built-in-nodes/StabilityTextToAudio.mdx b/ja/built-in-nodes/StabilityTextToAudio.mdx index 37ac9c482..c0e5a1767 100644 --- a/ja/built-in-nodes/StabilityTextToAudio.mdx +++ b/ja/built-in-nodes/StabilityTextToAudio.mdx @@ -5,25 +5,25 @@ sidebarTitle: "StabilityTextToAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityTextToAudio/ja.md) - テキスト記述から高品質な音楽や効果音を生成します。このノードはStability AIの音声生成技術を使用して、テキストプロンプトに基づいたオーディオコンテンツを作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"stable-audio-2.5"` | 使用する音声生成モデル（デフォルト："stable-audio-2.5"） | -| `prompt` | STRING | はい | - | オーディオコンテンツを生成するためのテキスト記述（デフォルト：空文字列） | -| `duration` | INT | いいえ | 1-190 | 生成されるオーディオの長さを秒単位で制御します（デフォルト：190） | -| `seed` | INT | いいえ | 0-4294967294 | 生成に使用されるランダムシード（デフォルト：0） | -| `steps` | INT | いいえ | 4-8 | サンプリングステップ数を制御します（デフォルト：8） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 使用する音声生成モデル（デフォルト："stable-audio-2.5"） | COMBO | はい | `"stable-audio-2.5"` | +| `prompt` | オーディオコンテンツを生成するためのテキスト記述（デフォルト：空文字列） | STRING | はい | - | +| `duration` | 生成されるオーディオの長さを秒単位で制御します（デフォルト：190） | INT | いいえ | 1-190 | +| `seed` | 生成に使用されるランダムシード（デフォルト：0） | INT | いいえ | 0-4294967294 | +| `steps` | サンプリングステップ数を制御します（デフォルト：8） | INT | いいえ | 4-8 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `audio` | AUDIO | テキストプロンプトに基づいて生成されたオーディオファイル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `audio` | テキストプロンプトに基づいて生成されたオーディオファイル | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityTextToAudio/ja.md) --- **Source fingerprint (SHA-256):** `5185241ca7a9b4bc38dfa8bafdae63ec3c151a3038a26ffe8e35492c0550fa88` diff --git a/ja/built-in-nodes/StabilityUpscaleConservativeNode.mdx b/ja/built-in-nodes/StabilityUpscaleConservativeNode.mdx index ec586e046..992c7062d 100644 --- a/ja/built-in-nodes/StabilityUpscaleConservativeNode.mdx +++ b/ja/built-in-nodes/StabilityUpscaleConservativeNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "StabilityUpscaleConservativeNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/ja.md) - 以下が翻訳結果です。 画像への変更を最小限に抑えながら、4K解像度にアップスケールします。このノードはStability AIの保守的なアップスケーリングを使用して、元のコンテンツを保持しつつ、微妙な変更のみを加えて画像解像度を向上させます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | アップスケールする入力画像 | -| `プロンプト` | STRING | はい | - | 出力画像に表示したい内容。要素、色、被写体を明確に定義した、強力で説明的なプロンプトを使用すると、より良い結果が得られます。（デフォルト：空文字列） | -| `クリエイティビティ` | FLOAT | はい | 0.2-0.5 | 初期画像に強く条件付けされていない追加の詳細を生成する可能性を制御します。（デフォルト：0.35） | -| `シード` | INT | はい | 0-4294967294 | ノイズ生成に使用されるランダムシード。（デフォルト：0） | -| `ネガティブプロンプト` | STRING | いいえ | - | 出力画像に表示したくないキーワード。これは高度な機能です。（デフォルト：空文字列） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | アップスケールする入力画像 | IMAGE | はい | - | +| `プロンプト` | 出力画像に表示したい内容。要素、色、被写体を明確に定義した、強力で説明的なプロンプトを使用すると、より良い結果が得られます。（デフォルト：空文字列） | STRING | はい | - | +| `クリエイティビティ` | 初期画像に強く条件付けされていない追加の詳細を生成する可能性を制御します。（デフォルト：0.35） | FLOAT | はい | 0.2-0.5 | +| `シード` | ノイズ生成に使用されるランダムシード。（デフォルト：0） | INT | はい | 0-4294967294 | +| `ネガティブプロンプト` | 出力画像に表示したくないキーワード。これは高度な機能です。（デフォルト：空文字列） | STRING | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | 4K解像度にアップスケールされた画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `image` | 4K解像度にアップスケールされた画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/ja.md) --- **Source fingerprint (SHA-256):** `0a6eed22a37c1019ee97035bba70660b9619b0d65e443111d1d330968ded009a` diff --git a/ja/built-in-nodes/StabilityUpscaleCreativeNode.mdx b/ja/built-in-nodes/StabilityUpscaleCreativeNode.mdx index 1033cf234..5fae09b19 100644 --- a/ja/built-in-nodes/StabilityUpscaleCreativeNode.mdx +++ b/ja/built-in-nodes/StabilityUpscaleCreativeNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "StabilityUpscaleCreativeNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md) 画像を最小限の変更で4K解像度にアップスケールします。このノードはStability AIのクリエイティブアップスケーリング技術を使用して、元のコンテンツを保持しながら画像解像度を向上させ、微妙な創造的なディテールを追加します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | アップスケールする入力画像 | -| `プロンプト` | STRING | はい | - | 出力画像に表示したい内容。要素、色、被写体を明確に定義した、強力で説明的なプロンプトを使用すると、より良い結果が得られます。（デフォルト：空文字列） | -| `クリエイティビティ` | FLOAT | はい | 0.1-0.5 | 初期画像に強く条件付けされていない追加のディテールを作成する可能性を制御します。（デフォルト：0.3） | -| `スタイルプリセット` | STRING | はい | `"3d-model"`
`"analog-film"`
`"anime"`
`"cinematic"`
`"comic-book"`
`"digital-art"`
`"enhance"`
`"fantasy-art"`
`"isometric"`
`"line-art"`
`"low-poly"`
`"modeling-compound"`
`"neon-punk"`
`"origami"`
`"photographic"`
`"pixel-art"`
`"tile-texture"` | 生成画像のオプションの希望スタイル。（デフォルト："None"） | -| `シード` | INT | はい | 0-4294967294 | ノイズ生成に使用されるランダムシード。（デフォルト：0） | -| `ネガティブプロンプト` | STRING | いいえ | - | 出力画像に表示したくないキーワード。これは高度な機能です。（デフォルト：空文字列） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | アップスケールする入力画像 | IMAGE | はい | - | +| `プロンプト` | 出力画像に表示したい内容。要素、色、被写体を明確に定義した、強力で説明的なプロンプトを使用すると、より良い結果が得られます。（デフォルト：空文字列） | STRING | はい | - | +| `クリエイティビティ` | 初期画像に強く条件付けされていない追加のディテールを作成する可能性を制御します。（デフォルト：0.3） | FLOAT | はい | 0.1-0.5 | +| `スタイルプリセット` | 生成画像のオプションの希望スタイル。（デフォルト："None"） | STRING | はい | `"3d-model"`
`"analog-film"`
`"anime"`
`"cinematic"`
`"comic-book"`
`"digital-art"`
`"enhance"`
`"fantasy-art"`
`"isometric"`
`"line-art"`
`"low-poly"`
`"modeling-compound"`
`"neon-punk"`
`"origami"`
`"photographic"`
`"pixel-art"`
`"tile-texture"` | +| `シード` | ノイズ生成に使用されるランダムシード。（デフォルト：0） | INT | はい | 0-4294967294 | +| `ネガティブプロンプト` | 出力画像に表示したくないキーワード。これは高度な機能です。（デフォルト：空文字列） | STRING | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 4K解像度にアップスケールされた画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 4K解像度にアップスケールされた画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/ja.md) --- **Source fingerprint (SHA-256):** `46f7bdd3cb4254b6305407f43e4a9a69a54fd3a0ac285d784c899dbf52edd552` diff --git a/ja/built-in-nodes/StabilityUpscaleFastNode.mdx b/ja/built-in-nodes/StabilityUpscaleFastNode.mdx index 2c3058816..8d7ccbeab 100644 --- a/ja/built-in-nodes/StabilityUpscaleFastNode.mdx +++ b/ja/built-in-nodes/StabilityUpscaleFastNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "StabilityUpscaleFastNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/ja.md) - 以下が翻訳結果です。 --- @@ -15,15 +13,17 @@ Stability API を介して画像を元のサイズの4倍に高速アップス ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | アップスケールする入力画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | アップスケールする入力画像 | IMAGE | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | Stability AI API から返されたアップスケール後の画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | Stability AI API から返されたアップスケール後の画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/ja.md) --- **Source fingerprint (SHA-256):** `0f349c6834807d43173e628abbee91a3a26f587f4bd5453443a9f5754ea8aeeb` diff --git a/ja/built-in-nodes/StableCascade_EmptyLatentImage.mdx b/ja/built-in-nodes/StableCascade_EmptyLatentImage.mdx index 59f067967..e5aae54ac 100644 --- a/ja/built-in-nodes/StableCascade_EmptyLatentImage.mdx +++ b/ja/built-in-nodes/StableCascade_EmptyLatentImage.mdx @@ -5,25 +5,25 @@ sidebarTitle: "StableCascade_EmptyLatentImage" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_EmptyLatentImage/ja.md) - StableCascade_EmptyLatentImage ノードは、Stable Cascade モデル用の空の潜在テンソルを作成します。入力解像度と圧縮設定に基づいて、ステージ C 用とステージ B 用の2つの別々の潜在表現を適切な次元で生成します。このノードは、Stable Cascade 生成パイプラインの開始点を提供します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `幅` | INT | はい | 256 ～ MAX_RESOLUTION | 出力画像の幅（ピクセル単位）（デフォルト：1024、ステップ：8） | -| `高さ` | INT | はい | 256 ～ MAX_RESOLUTION | 出力画像の高さ（ピクセル単位）（デフォルト：1024、ステップ：8） | -| `圧縮` | INT | はい | 4 ～ 128 | ステージ C の潜在次元を決定する圧縮係数（デフォルト：42、ステップ：1） | -| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | バッチで生成する潜在サンプルの数（デフォルト：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `幅` | 出力画像の幅（ピクセル単位）（デフォルト：1024、ステップ：8） | INT | はい | 256 ～ MAX_RESOLUTION | +| `高さ` | 出力画像の高さ（ピクセル単位）（デフォルト：1024、ステップ：8） | INT | はい | 256 ～ MAX_RESOLUTION | +| `圧縮` | ステージ C の潜在次元を決定する圧縮係数（デフォルト：42、ステップ：1） | INT | はい | 4 ～ 128 | +| `バッチサイズ` | バッチで生成する潜在サンプルの数（デフォルト：1） | INT | いいえ | 1 ～ 4096 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ステージB` | LATENT | 次元 [batch_size, 16, height//compression, width//compression] のステージ C 潜在テンソル | -| `stage_b` | LATENT | 次元 [batch_size, 4, height//4, width//4] のステージ B 潜在テンソル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ステージB` | 次元 [batch_size, 16, height//compression, width//compression] のステージ C 潜在テンソル | LATENT | +| `stage_b` | 次元 [batch_size, 4, height//4, width//4] のステージ B 潜在テンソル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_EmptyLatentImage/ja.md) --- **Source fingerprint (SHA-256):** `ba5347f522b661993e540bc5775737cae88bd5f7a87c1b91715f8c1858e8e81a` diff --git a/ja/built-in-nodes/StableCascade_StageB_Conditioning.mdx b/ja/built-in-nodes/StableCascade_StageB_Conditioning.mdx index e55c3ea7b..cda54cd58 100644 --- a/ja/built-in-nodes/StableCascade_StageB_Conditioning.mdx +++ b/ja/built-in-nodes/StableCascade_StageB_Conditioning.mdx @@ -5,24 +5,24 @@ sidebarTitle: "StableCascade_StageB_Conditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageB_Conditioning/ja.md) - ## 概要 StableCascade_StageB_Conditioning ノードは、既存の条件付け情報とステージCからの事前潜在表現を組み合わせることで、Stable Cascade ステージB生成用の条件付けデータを準備します。このノードは、ステージCの潜在サンプルを含むように条件付けデータを変更し、生成プロセスが事前情報を活用してより一貫性のある出力を生成できるようにします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `コンディショニング` | CONDITIONING | はい | - | ステージCの事前情報で変更される条件付けデータ | -| `ステージc` | LATENT | はい | - | 条件付け用の事前サンプルを含むステージCからの潜在表現 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `コンディショニング` | ステージCの事前情報で変更される条件付けデータ | CONDITIONING | はい | - | +| `ステージc` | 条件付け用の事前サンプルを含むステージCからの潜在表現 | LATENT | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | ステージCの事前情報が統合された変更済み条件付けデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | ステージCの事前情報が統合された変更済み条件付けデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageB_Conditioning/ja.md) --- **Source fingerprint (SHA-256):** `f6ee524889aa324151a91c200fdc2692754cbd1348e32fbc05a26fd7ba27c755` diff --git a/ja/built-in-nodes/StableCascade_StageC_VAEEncode.mdx b/ja/built-in-nodes/StableCascade_StageC_VAEEncode.mdx index 42ed5c46f..cc3b9e17a 100644 --- a/ja/built-in-nodes/StableCascade_StageC_VAEEncode.mdx +++ b/ja/built-in-nodes/StableCascade_StageC_VAEEncode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "StableCascade_StageC_VAEEncode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/ja.md) - StableCascade_StageC_VAEEncode ノードは、VAEエンコーダーを通じて画像を処理し、Stable Cascadeモデル用の潜在表現を生成します。入力画像を受け取り、指定されたVAEモデルを使用して圧縮し、ステージC用の潜在表現とステージB用のプレースホルダーの2つの潜在表現を出力します。圧縮パラメーターは、エンコード前に画像がどの程度縮小されるかを制御します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 潜在空間にエンコードされる入力画像 | -| `vae` | VAE | はい | - | 画像のエンコードに使用されるVAEモデル | -| `圧縮` | INT | いいえ | 4-128 | エンコード前に画像に適用される圧縮率（デフォルト：42） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 潜在空間にエンコードされる入力画像 | IMAGE | はい | - | +| `vae` | 画像のエンコードに使用されるVAEモデル | VAE | はい | - | +| `圧縮` | エンコード前に画像に適用される圧縮率（デフォルト：42） | INT | いいえ | 4-128 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ステージB` | LATENT | Stable CascadeモデルのステージC用にエンコードされた潜在表現 | -| `stage_b` | LATENT | ステージB用のプレースホルダー潜在表現（現在はゼロを返します） | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ステージB` | Stable CascadeモデルのステージC用にエンコードされた潜在表現 | LATENT | +| `stage_b` | ステージB用のプレースホルダー潜在表現（現在はゼロを返します） | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/ja.md) --- **Source fingerprint (SHA-256):** `e7b9bd83d263903567ab06c00324575e01b79b50881fa807cd6f006955935c63` diff --git a/ja/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx b/ja/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx index 5fa776e64..91bb4d65f 100644 --- a/ja/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx +++ b/ja/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx @@ -5,26 +5,26 @@ sidebarTitle: "StableCascade_SuperResolutionControlnet" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/en.md) StableCascade_SuperResolutionControlnet ノードは、Stable Cascade の超解像処理用の入力を準備します。入力画像を受け取り、VAE を使用してエンコードすることで controlnet 入力を生成すると同時に、Stable Cascade パイプラインのステージ C およびステージ B 用のプレースホルダー潜在表現を作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | 超解像処理を行う入力画像 | -| `vae` | VAE | はい | - | 入力画像のエンコードに使用する VAE モデル | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 超解像処理を行う入力画像 | IMAGE | はい | - | +| `vae` | 入力画像のエンコードに使用する VAE モデル | VAE | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ステージC` | IMAGE | controlnet 入力に適したエンコード済み画像表現 | -| `ステージB` | LATENT | Stable Cascade 処理のステージ C 用プレースホルダー潜在表現 | -| `stage_b` | LATENT | Stable Cascade 処理のステージ B 用プレースホルダー潜在表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ステージC` | controlnet 入力に適したエンコード済み画像表現 | IMAGE | +| `ステージB` | Stable Cascade 処理のステージ C 用プレースホルダー潜在表現 | LATENT | +| `stage_b` | Stable Cascade 処理のステージ B 用プレースホルダー潜在表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/ja.md) --- **Source fingerprint (SHA-256):** `78b6e5a02c48ac37a205ef9d8532a3aca19134de4ec7be98b2ee55969dab7b53` diff --git a/ja/built-in-nodes/StableZero123_Conditioning.mdx b/ja/built-in-nodes/StableZero123_Conditioning.mdx index b8e8f7553..134d8e150 100644 --- a/ja/built-in-nodes/StableZero123_Conditioning.mdx +++ b/ja/built-in-nodes/StableZero123_Conditioning.mdx @@ -5,32 +5,32 @@ sidebarTitle: "StableZero123_Conditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning/ja.md) - StableZero123_Conditioning ノードは、入力画像とカメラ角度を処理し、3Dモデル生成のための条件付けデータと潜在表現を生成します。CLIPビジョンモデルを使用して画像特徴をエンコードし、仰角と方位角に基づくカメラ埋め込み情報と組み合わせて、ポジティブ条件付けとネガティブ条件付け、および下流の3D生成タスクのための潜在表現を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `クリップビジョン` | CLIP_VISION | はい | - | 画像特徴をエンコードするために使用されるCLIPビジョンモデル | -| `初期画像` | IMAGE | はい | - | 処理およびエンコードされる入力画像 | -| `vae` | VAE | はい | - | ピクセルを潜在空間にエンコードするために使用されるVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在表現の出力幅（デフォルト：256、8で割り切れる必要があります） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在表現の出力高さ（デフォルト：256、8で割り切れる必要があります） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | バッチで生成するサンプル数（デフォルト：1） | -| `高度` | FLOAT | はい | -180.0 ～ 180.0 | カメラの仰角（度単位、デフォルト：0.0） | -| `方位角` | FLOAT | はい | -180.0 ～ 180.0 | カメラの方位角（度単位、デフォルト：0.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `クリップビジョン` | 画像特徴をエンコードするために使用されるCLIPビジョンモデル | CLIP_VISION | はい | - | +| `初期画像` | 処理およびエンコードされる入力画像 | IMAGE | はい | - | +| `vae` | ピクセルを潜在空間にエンコードするために使用されるVAEモデル | VAE | はい | - | +| `幅` | 潜在表現の出力幅（デフォルト：256、8で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 潜在表現の出力高さ（デフォルト：256、8で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `バッチサイズ` | バッチで生成するサンプル数（デフォルト：1） | INT | はい | 1 ～ 4096 | +| `高度` | カメラの仰角（度単位、デフォルト：0.0） | FLOAT | はい | -180.0 ～ 180.0 | +| `方位角` | カメラの方位角（度単位、デフォルト：0.0） | FLOAT | はい | -180.0 ～ 180.0 | **注記：** `width` パラメータと `height` パラメータは8で割り切れる必要があります。これは、ノードがこれらを自動的に8で割って潜在表現の次元を作成するためです。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 画像特徴とカメラ埋め込みを組み合わせたポジティブ条件付けデータ | -| `潜在` | CONDITIONING | ゼロ初期化された特徴を持つネガティブ条件付けデータ | -| `latent` | LATENT | 次元が [batch_size, 4, height//8, width//8] の潜在表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 画像特徴とカメラ埋め込みを組み合わせたポジティブ条件付けデータ | CONDITIONING | +| `潜在` | ゼロ初期化された特徴を持つネガティブ条件付けデータ | CONDITIONING | +| `latent` | 次元が [batch_size, 4, height//8, width//8] の潜在表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning/ja.md) --- **Source fingerprint (SHA-256):** `a9d6619c800119c9a619665f322d49ded1478ceb40df56ca5707b31242cb0e47` diff --git a/ja/built-in-nodes/StableZero123_Conditioning_Batched.mdx b/ja/built-in-nodes/StableZero123_Conditioning_Batched.mdx index 4f2efba40..6e31a862d 100644 --- a/ja/built-in-nodes/StableZero123_Conditioning_Batched.mdx +++ b/ja/built-in-nodes/StableZero123_Conditioning_Batched.mdx @@ -5,36 +5,36 @@ sidebarTitle: "StableZero123_Conditioning_Batched" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning_Batched/ja.md) - 以下が翻訳結果です。 StableZero123_Conditioning_Batched ノードは、入力画像を処理し、3D モデル生成のための条件付けデータを生成します。CLIP vision モデルと VAE モデルを使用して画像をエンコードし、仰角と方位角に基づいてカメラ埋め込みを作成します。これにより、バッチ処理用のポジティブ条件付け、ネガティブ条件付け、および潜在表現が生成されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `クリップビジョン` | CLIP_VISION | はい | - | 入力画像のエンコードに使用する CLIP vision モデル | -| `初期画像` | IMAGE | はい | - | 処理およびエンコードされる初期入力画像 | -| `vae` | VAE | はい | - | 画像ピクセルを潜在空間にエンコードするために使用する VAE モデル | -| `幅` | INT | いいえ | 16 ～ MAX_RESOLUTION | 処理後の画像の出力幅（デフォルト: 256、8 で割り切れる必要があります） | -| `高さ` | INT | いいえ | 16 ～ MAX_RESOLUTION | 処理後の画像の出力高さ（デフォルト: 256、8 で割り切れる必要があります） | -| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | バッチ内で生成する条件付けサンプルの数（デフォルト: 1） | -| `高度` | FLOAT | いいえ | -180.0 ～ 180.0 | 初期カメラ仰角（度単位）（デフォルト: 0.0） | -| `方位角` | FLOAT | いいえ | -180.0 ～ 180.0 | 初期カメラ方位角（度単位）（デフォルト: 0.0） | -| `高度バッチ増分` | FLOAT | いいえ | -180.0 ～ 180.0 | バッチアイテムごとに仰角を増加させる量（デフォルト: 0.0） | -| `方位角バッチ増分` | FLOAT | いいえ | -180.0 ～ 180.0 | バッチアイテムごとに方位角を増加させる量（デフォルト: 0.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `クリップビジョン` | 入力画像のエンコードに使用する CLIP vision モデル | CLIP_VISION | はい | - | +| `初期画像` | 処理およびエンコードされる初期入力画像 | IMAGE | はい | - | +| `vae` | 画像ピクセルを潜在空間にエンコードするために使用する VAE モデル | VAE | はい | - | +| `幅` | 処理後の画像の出力幅（デフォルト: 256、8 で割り切れる必要があります） | INT | いいえ | 16 ～ MAX_RESOLUTION | +| `高さ` | 処理後の画像の出力高さ（デフォルト: 256、8 で割り切れる必要があります） | INT | いいえ | 16 ～ MAX_RESOLUTION | +| `バッチサイズ` | バッチ内で生成する条件付けサンプルの数（デフォルト: 1） | INT | いいえ | 1 ～ 4096 | +| `高度` | 初期カメラ仰角（度単位）（デフォルト: 0.0） | FLOAT | いいえ | -180.0 ～ 180.0 | +| `方位角` | 初期カメラ方位角（度単位）（デフォルト: 0.0） | FLOAT | いいえ | -180.0 ～ 180.0 | +| `高度バッチ増分` | バッチアイテムごとに仰角を増加させる量（デフォルト: 0.0） | FLOAT | いいえ | -180.0 ～ 180.0 | +| `方位角バッチ増分` | バッチアイテムごとに方位角を増加させる量（デフォルト: 0.0） | FLOAT | いいえ | -180.0 ～ 180.0 | **注記:** `width` パラメータと `height` パラメータは 8 で割り切れる必要があります。これは、ノードが潜在空間生成のためにこれらの寸法を内部的に 8 で除算するためです。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 画像埋め込みとカメラパラメータを含むポジティブ条件付けデータ | -| `潜在` | CONDITIONING | ゼロ初期化された埋め込みを含むネガティブ条件付けデータ | -| `latent` | LATENT | バッチインデックス情報を含む、処理済み画像の潜在表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 画像埋め込みとカメラパラメータを含むポジティブ条件付けデータ | CONDITIONING | +| `潜在` | ゼロ初期化された埋め込みを含むネガティブ条件付けデータ | CONDITIONING | +| `latent` | バッチインデックス情報を含む、処理済み画像の潜在表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning_Batched/ja.md) --- **Source fingerprint (SHA-256):** `2b770f7a168a0d3e33da8bfa63383080709fa5d53846dbf6a4374bd1ef1746aa` diff --git a/ja/built-in-nodes/Stablezero123Conditioning.mdx b/ja/built-in-nodes/Stablezero123Conditioning.mdx index 94a40f4df..6ae94188f 100644 --- a/ja/built-in-nodes/Stablezero123Conditioning.mdx +++ b/ja/built-in-nodes/Stablezero123Conditioning.mdx @@ -5,27 +5,27 @@ sidebarTitle: "Stablezero123Conditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Stablezero123Conditioning/ja.md) - このノードは、StableZero123モデルで使用するデータを処理および条件付けするために設計されており、これらのモデルに互換性があり最適化された特定の形式で入力を準備することに重点を置いています。 ## 入力 -| パラメータ | Comfy dtype | 説明 | -|-----------------------|--------------------|-------------| -| `clip_vision` | `CLIP_VISION` | 視覚データを処理してモデルの要件に合わせ、モデルの視覚コンテキストの理解を強化します。 | -| `init_image` | `IMAGE` | モデルの初期画像入力として機能し、その後の画像ベースの操作のベースラインを設定します。 | -| `vae` | `VAE` | 変分オートエンコーダの出力を統合し、モデルが画像を生成または変更する機能を促進します。 | -| `width` | `INT` | 出力画像の幅を指定し、モデルのニーズに応じた動的なリサイズを可能にします。 | -| `height` | `INT` | 出力画像の高さを決定し、出力寸法のカスタマイズを可能にします。 | -| `batch_size` | `INT` | 単一バッチで処理される画像の数を制御し、計算効率を最適化します。 | -| `elevation` | `FLOAT` | 3Dモデルレンダリングの仰角を調整し、モデルの空間理解を強化します。 | -| `azimuth` | `FLOAT` | 3Dモデル可視化の方位角を変更し、モデルの方向認識を向上させます。 | +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `clip_vision` | 視覚データを処理してモデルの要件に合わせ、モデルの視覚コンテキストの理解を強化します。 | `CLIP_VISION` | +| `init_image` | モデルの初期画像入力として機能し、その後の画像ベースの操作のベースラインを設定します。 | `IMAGE` | +| `vae` | 変分オートエンコーダの出力を統合し、モデルが画像を生成または変更する機能を促進します。 | `VAE` | +| `width` | 出力画像の幅を指定し、モデルのニーズに応じた動的なリサイズを可能にします。 | `INT` | +| `height` | 出力画像の高さを決定し、出力寸法のカスタマイズを可能にします。 | `INT` | +| `batch_size` | 単一バッチで処理される画像の数を制御し、計算効率を最適化します。 | `INT` | +| `elevation` | 3Dモデルレンダリングの仰角を調整し、モデルの空間理解を強化します。 | `FLOAT` | +| `azimuth` | 3Dモデル可視化の方位角を変更し、モデルの方向認識を向上させます。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|---------------|--------------|-------------| -| `positive` | `CONDITIONING` | ポジティブ条件付けベクトルを生成し、モデルのポジティブな特徴の強化を支援します。 | -| `negative` | `CONDITIONING` | ネガティブ条件付けベクトルを生成し、モデルが特定の特徴を回避するのを支援します。 | -| `latent` | `LATENT` | 潜在表現を作成し、データに対するモデルのより深い洞察を促進します。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `positive` | ポジティブ条件付けベクトルを生成し、モデルのポジティブな特徴の強化を支援します。 | `CONDITIONING` | +| `negative` | ネガティブ条件付けベクトルを生成し、モデルが特定の特徴を回避するのを支援します。 | `CONDITIONING` | +| `latent` | 潜在表現を作成し、データに対するモデルのより深い洞察を促進します。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Stablezero123Conditioning/ja.md) diff --git a/ja/built-in-nodes/Stablezero123ConditioningBatched.mdx b/ja/built-in-nodes/Stablezero123ConditioningBatched.mdx index f8a7a13ff..03d505726 100644 --- a/ja/built-in-nodes/Stablezero123ConditioningBatched.mdx +++ b/ja/built-in-nodes/Stablezero123ConditioningBatched.mdx @@ -5,29 +5,29 @@ sidebarTitle: "Stablezero123ConditioningBatched" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Stablezero123ConditioningBatched/ja.md) - このノードは、StableZero123モデルに特化した条件付け情報をバッチ処理するために設計されています。複数の条件付けデータセットを同時に効率的に処理し、バッチ処理が重要なシナリオにおけるワークフローを最適化することに重点を置いています。 ## 入力 -| パラメータ | データ型 | 説明 | -|---|---|---| -| `clip_vision` | `CLIP_VISION` | 条件付けプロセスに視覚的なコンテキストを提供するCLIPビジョン埋め込みです。 | -| `init_image` | `IMAGE` | 条件付けの基となる初期画像であり、生成プロセスの開始点として機能します。 | -| `vae` | `VAE` | 条件付けプロセスにおいて画像のエンコードとデコードに使用される変分オートエンコーダです。 | -| `width` | `INT` | 出力画像の幅です。 | -| `height` | `INT` | 出力画像の高さです。 | -| `batch_size` | `INT` | 1回のバッチで処理される条件付けセットの数です。 | -| `elevation` | `FLOAT` | 3Dモデル条件付けにおける仰角であり、生成画像の視点に影響を与えます。 | -| `azimuth` | `FLOAT` | 3Dモデル条件付けにおける方位角であり、生成画像の向きに影響を与えます。 | -| `elevation_batch_increment` | `FLOAT` | バッチ全体での仰角の増分変化であり、多様な視点を可能にします。 | -| `azimuth_batch_increment` | `FLOAT` | バッチ全体での方位角の増分変化であり、多様な向きを可能にします。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `clip_vision` | 条件付けプロセスに視覚的なコンテキストを提供するCLIPビジョン埋め込みです。 | `CLIP_VISION` | +| `init_image` | 条件付けの基となる初期画像であり、生成プロセスの開始点として機能します。 | `IMAGE` | +| `vae` | 条件付けプロセスにおいて画像のエンコードとデコードに使用される変分オートエンコーダです。 | `VAE` | +| `width` | 出力画像の幅です。 | `INT` | +| `height` | 出力画像の高さです。 | `INT` | +| `batch_size` | 1回のバッチで処理される条件付けセットの数です。 | `INT` | +| `elevation` | 3Dモデル条件付けにおける仰角であり、生成画像の視点に影響を与えます。 | `FLOAT` | +| `azimuth` | 3Dモデル条件付けにおける方位角であり、生成画像の向きに影響を与えます。 | `FLOAT` | +| `elevation_batch_increment` | バッチ全体での仰角の増分変化であり、多様な視点を可能にします。 | `FLOAT` | +| `azimuth_batch_increment` | バッチ全体での方位角の増分変化であり、多様な向きを可能にします。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|---|---|---| -| `positive` | `CONDITIONING` | 生成コンテンツにおける特定の特徴や側面を促進するために調整された、ポジティブな条件付け出力です。 | -| `negative` | `CONDITIONING` | 生成コンテンツにおける特定の特徴や側面を抑制するために調整された、ネガティブな条件付け出力です。 | -| `latent` | `LATENT` | 条件付けプロセスから導出された潜在表現であり、さらなる処理や生成ステップに使用できます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `positive` | 生成コンテンツにおける特定の特徴や側面を促進するために調整された、ポジティブな条件付け出力です。 | `CONDITIONING` | +| `negative` | 生成コンテンツにおける特定の特徴や側面を抑制するために調整された、ネガティブな条件付け出力です。 | `CONDITIONING` | +| `latent` | 条件付けプロセスから導出された潜在表現であり、さらなる処理や生成ステップに使用できます。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Stablezero123ConditioningBatched/ja.md) diff --git a/ja/built-in-nodes/StringCompare.mdx b/ja/built-in-nodes/StringCompare.mdx index 4ef4e5bed..12066dde8 100644 --- a/ja/built-in-nodes/StringCompare.mdx +++ b/ja/built-in-nodes/StringCompare.mdx @@ -5,26 +5,26 @@ sidebarTitle: "StringCompare" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringCompare/ja.md) - 以下が翻訳結果です。 StringCompareノードは、異なる比較方法を使用して2つのテキスト文字列を比較します。一方の文字列がもう一方で始まるか、終わるか、または両方の文字列が完全に等しいかを確認できます。比較は、大文字と小文字の違いを考慮するかどうかを選択して実行できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `string_a` | STRING | はい | - | 比較する最初の文字列 | -| `string_b` | STRING | はい | - | 比較対象となる2番目の文字列 | -| `mode` | COMBO | はい | "Starts With"
"Ends With"
"Equal" | 使用する比較方法（デフォルト: "Starts With"） | -| `case_sensitive` | BOOLEAN | いいえ | - | 比較時に大文字と小文字を区別するかどうか（デフォルト: true） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `string_a` | 比較する最初の文字列 | STRING | はい | - | +| `string_b` | 比較対象となる2番目の文字列 | STRING | はい | - | +| `mode` | 使用する比較方法（デフォルト: "Starts With"） | COMBO | はい | "Starts With"
"Ends With"
"Equal" | +| `case_sensitive` | 比較時に大文字と小文字を区別するかどうか（デフォルト: true） | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | BOOLEAN | 比較条件が満たされた場合はtrue、それ以外の場合はfalseを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 比較条件が満たされた場合はtrue、それ以外の場合はfalseを返します | BOOLEAN | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringCompare/ja.md) --- **Source fingerprint (SHA-256):** `4491e4acd2c1881e9c924c6ae51d764dec5f46279094d173fe551e9ee9256597` diff --git a/ja/built-in-nodes/StringConcatenate.mdx b/ja/built-in-nodes/StringConcatenate.mdx index 03b25b8a2..c99c71324 100644 --- a/ja/built-in-nodes/StringConcatenate.mdx +++ b/ja/built-in-nodes/StringConcatenate.mdx @@ -5,25 +5,25 @@ sidebarTitle: "StringConcatenate" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringConcatenate/ja.md) - このドキュメントはAI生成です。誤りを見つけた場合や改善の提案がある場合は、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringConcatenate/en.md) StringConcatenateノードは、指定された区切り文字を使用して2つのテキスト文字列を結合します。2つの入力文字列と区切り文字（または文字列）を受け取り、2つの入力の間に区切り文字を挿入した単一の文字列を出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `string_a` | STRING | はい | - | 結合する最初のテキスト文字列 | -| `string_b` | STRING | はい | - | 結合する2番目のテキスト文字列 | -| `delimiter` | STRING | いいえ | - | 2つの入力文字列の間に挿入する文字または文字列（デフォルト：空文字列） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `string_a` | 結合する最初のテキスト文字列 | STRING | はい | - | +| `string_b` | 結合する2番目のテキスト文字列 | STRING | はい | - | +| `delimiter` | 2つの入力文字列の間に挿入する文字または文字列（デフォルト：空文字列） | STRING | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | string_aとstring_bの間に区切り文字が挿入された結合文字列 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | string_aとstring_bの間に区切り文字が挿入された結合文字列 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringConcatenate/ja.md) --- **Source fingerprint (SHA-256):** `8e33665fb14a53f6c3bbfb6a4553ac7effa96d7d16d9ab2a9d4a1249abfc62e4` diff --git a/ja/built-in-nodes/StringContains.mdx b/ja/built-in-nodes/StringContains.mdx index 0f052bff4..70d1ae4b9 100644 --- a/ja/built-in-nodes/StringContains.mdx +++ b/ja/built-in-nodes/StringContains.mdx @@ -5,24 +5,24 @@ sidebarTitle: "StringContains" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringContains/ja.md) - ## 概要 StringContainsノードは、指定された文字列に特定の部分文字列が含まれているかどうかをチェックします。このチェックは、大文字と小文字を区別する方法と区別しない方法のいずれでも実行でき、メイン文字列内に部分文字列が見つかったかどうかを示すブール値の結果を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | はい | - | 検索対象となるメインのテキスト文字列 | -| `substring` | STRING | はい | - | メイン文字列内で検索するテキスト | -| `case_sensitive` | BOOLEAN | いいえ | - | 検索時に大文字と小文字を区別するかどうかを指定します（デフォルト：true） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `string` | 検索対象となるメインのテキスト文字列 | STRING | はい | - | +| `substring` | メイン文字列内で検索するテキスト | STRING | はい | - | +| `case_sensitive` | 検索時に大文字と小文字を区別するかどうかを指定します（デフォルト：true） | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `contains` | BOOLEAN | 部分文字列が文字列内で見つかった場合はtrue、それ以外の場合はfalseを返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `contains` | 部分文字列が文字列内で見つかった場合はtrue、それ以外の場合はfalseを返します | BOOLEAN | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringContains/ja.md) --- **Source fingerprint (SHA-256):** `ef7329ca8586e0f894306d93835490edb948a346db1e0cb011e4da5a6fe44202` diff --git a/ja/built-in-nodes/StringFormat.mdx b/ja/built-in-nodes/StringFormat.mdx index 5d8231de9..9c813c1f5 100644 --- a/ja/built-in-nodes/StringFormat.mdx +++ b/ja/built-in-nodes/StringFormat.mdx @@ -5,26 +5,26 @@ sidebarTitle: "StringFormat" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/ja.md) - ## 概要 このノードは、Pythonの文字列フォーマットメソッドを使用してテキストを整形します。プレースホルダーを含むテキストパターンを定義し、それらのプレースホルダーを埋めるための値を指定するテンプレートとして機能します。Pythonのすべてのフォーマットオプションと機能をサポートしています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `f_string` | STRING | はい | N/A | プレースホルダーを含むフォーマット文字列テンプレート（デフォルト: `{a}`）。複数行の入力に対応しています。 | -| `values` | STRING | はい | N/A | フォーマット文字列内のプレースホルダーを埋めるための値を提供する動的入力。必要に応じて複数の値入力を追加できます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `f_string` | プレースホルダーを含むフォーマット文字列テンプレート（デフォルト: `{a}`）。複数行の入力に対応しています。 | STRING | はい | N/A | +| `values` | フォーマット文字列内のプレースホルダーを埋めるための値を提供する動的入力。必要に応じて複数の値入力を追加できます。 | STRING | はい | N/A | **`values` 入力に関する注意:** この入力は動的であり、複数の名前付き値を含むように拡張できます。各値入力は文字（a、b、cなど）でラベル付けされ、フォーマット文字列内のプレースホルダー（例: `{a}`、`{b}`、`{c}`）に対応します。必要に応じて値入力を追加または削除できます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `STRING` | STRING | すべてのプレースホルダーが対応する値に置き換えられた、整形済みテキスト文字列。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `STRING` | すべてのプレースホルダーが対応する値に置き換えられた、整形済みテキスト文字列。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/ja.md) --- **Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122` diff --git a/ja/built-in-nodes/StringLength.mdx b/ja/built-in-nodes/StringLength.mdx index 7f0d7802a..4633a29ab 100644 --- a/ja/built-in-nodes/StringLength.mdx +++ b/ja/built-in-nodes/StringLength.mdx @@ -5,23 +5,23 @@ sidebarTitle: "StringLength" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringLength/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がある場合は、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringLength/en.md) StringLengthノードは、テキスト文字列の文字数を計算します。任意のテキスト入力を受け取り、スペースや句読点を含む文字の総数を返します。これは、テキストの長さを測定したり、文字列のサイズ要件を検証したりするのに便利です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | はい | N/A | 長さを測定するテキスト文字列です。複数行の入力をサポートします。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `string` | 長さを測定するテキスト文字列です。複数行の入力をサポートします。 | STRING | はい | N/A | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `length` | INT | 入力文字列の文字の総数です。スペースや特殊文字も含まれます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `length` | 入力文字列の文字の総数です。スペースや特殊文字も含まれます。 | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringLength/ja.md) --- **Source fingerprint (SHA-256):** `dd72fac8330002e5e0ef2673ff208de36c6cf31aeec22a1c231495c742df62e3` diff --git a/ja/built-in-nodes/StringReplace.mdx b/ja/built-in-nodes/StringReplace.mdx index 6c798ef86..32e8dfdab 100644 --- a/ja/built-in-nodes/StringReplace.mdx +++ b/ja/built-in-nodes/StringReplace.mdx @@ -5,25 +5,25 @@ sidebarTitle: "StringReplace" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringReplace/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がある場合は、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringReplace/en.md) StringReplaceノードは、入力文字列に対してテキスト置換操作を実行します。入力テキスト内で指定された部分文字列を検索し、すべての出現箇所を別の部分文字列に置き換えます。このノードは、すべての置換が適用された変更後の文字列を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `string` | STRING | はい | - | 置換を実行する入力テキスト文字列 | -| `find` | STRING | はい | - | 入力テキスト内で検索する部分文字列 | -| `replace` | STRING | はい | - | 見つかったすべての出現箇所を置き換えるテキスト | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `string` | 置換を実行する入力テキスト文字列 | STRING | はい | - | +| `find` | 入力テキスト内で検索する部分文字列 | STRING | はい | - | +| `replace` | 見つかったすべての出現箇所を置き換えるテキスト | STRING | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `output` | STRING | 検索テキストのすべての出現箇所が置換テキストに置き換えられた変更後の文字列 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 検索テキストのすべての出現箇所が置換テキストに置き換えられた変更後の文字列 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringReplace/ja.md) --- **Source fingerprint (SHA-256):** `72159dba72261efe9df283c1ea3f789651eade923efdaeb108bacc1d0da663f8` diff --git a/ja/built-in-nodes/StringSubstring.mdx b/ja/built-in-nodes/StringSubstring.mdx index 3894a0b76..3a79befc9 100644 --- a/ja/built-in-nodes/StringSubstring.mdx +++ b/ja/built-in-nodes/StringSubstring.mdx @@ -5,25 +5,25 @@ sidebarTitle: "StringSubstring" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringSubstring/ja.md) - ## 概要 StringSubstringノードは、大きな文字列からテキストの一部を抽出します。抽出したい範囲を開始位置と終了位置で指定し、その間のテキストを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `string` | STRING | はい | - | 抽出元となる入力テキスト文字列です。複数行テキストに対応しています。 | -| `start` | INT | はい | - | 部分文字列の開始位置インデックスです。最初の文字はインデックス0です。 | -| `end` | INT | はい | - | 部分文字列の終了位置インデックスです。このインデックスの文字は結果に含まれません。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `string` | 抽出元となる入力テキスト文字列です。複数行テキストに対応しています。 | STRING | はい | - | +| `start` | 部分文字列の開始位置インデックスです。最初の文字はインデックス0です。 | INT | はい | - | +| `end` | 部分文字列の終了位置インデックスです。このインデックスの文字は結果に含まれません。 | INT | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `output` | STRING | 入力テキストから抽出された部分文字列です。`start`位置から`end`位置の直前までのすべての文字が含まれます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力テキストから抽出された部分文字列です。`start`位置から`end`位置の直前までのすべての文字が含まれます。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringSubstring/ja.md) --- **Source fingerprint (SHA-256):** `962d0b19af88b6c95b5c9d374081ecd55ee8cffbfb638de7ed38e6e378b220c5` diff --git a/ja/built-in-nodes/StringTrim.mdx b/ja/built-in-nodes/StringTrim.mdx index 56c9069b3..ff01c4863 100644 --- a/ja/built-in-nodes/StringTrim.mdx +++ b/ja/built-in-nodes/StringTrim.mdx @@ -5,24 +5,24 @@ sidebarTitle: "StringTrim" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringTrim/ja.md) - ## 概要 StringTrimノードは、テキスト文字列の先頭、末尾、または両端から空白文字を削除します。左側、右側、または文字列の両側からトリミングするモードを選択できます。不要なスペース、タブ、改行文字を除去してテキスト入力をクリーンアップするのに便利です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `string` | STRING | はい | - | 処理するテキスト文字列。複数行の入力に対応しています。 | -| `mode` | COMBO | はい | "Both"
"Left"
"Right" | 文字列のどの側をトリミングするかを指定します。"Both"は両端から空白を削除し、"Left"は先頭のみ、"Right"は末尾のみから空白を削除します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `string` | 処理するテキスト文字列。複数行の入力に対応しています。 | STRING | はい | - | +| `mode` | 文字列のどの側をトリミングするかを指定します。"Both"は両端から空白を削除し、"Left"は先頭のみ、"Right"は末尾のみから空白を削除します。 | COMBO | はい | "Both"
"Left"
"Right" | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `output` | STRING | 選択されたモードに従って空白が除去された、トリミング後のテキスト文字列。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 選択されたモードに従って空白が除去された、トリミング後のテキスト文字列。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringTrim/ja.md) --- **Source fingerprint (SHA-256):** `29b4da100373585af8a672ccfbd4c0b597705c1d8c176b2f88f3e878c1192460` diff --git a/ja/built-in-nodes/StripWhitespace.mdx b/ja/built-in-nodes/StripWhitespace.mdx index 471650862..62b769564 100644 --- a/ja/built-in-nodes/StripWhitespace.mdx +++ b/ja/built-in-nodes/StripWhitespace.mdx @@ -5,21 +5,21 @@ sidebarTitle: "StripWhitespace" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StripWhitespace/ja.md) - このノードは、テキスト文字列の先頭と末尾から余分なスペース、タブ、改行を削除します。テキスト入力を受け取り、先頭と末尾の空白を除去したクリーンなバージョンを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | はい | なし | 先頭と末尾の空白を削除する対象のテキスト文字列。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `text` | 先頭と末尾の空白を削除する対象のテキスト文字列。 | STRING | はい | なし | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `text` | STRING | すべての先頭および末尾の空白文字が除去された処理済みテキスト。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `text` | すべての先頭および末尾の空白文字が除去された処理済みテキスト。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StripWhitespace/ja.md) --- **Source fingerprint (SHA-256):** `5b86f71c842a89fe42119593a8bfd30ea441cd02e35356f431ebfdda8010e58d` diff --git a/ja/built-in-nodes/StyleModelApply.mdx b/ja/built-in-nodes/StyleModelApply.mdx index 08ef8c157..14242261b 100644 --- a/ja/built-in-nodes/StyleModelApply.mdx +++ b/ja/built-in-nodes/StyleModelApply.mdx @@ -5,22 +5,22 @@ sidebarTitle: "StyleModelApply" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StyleModelApply/ja.md) - このノードは、スタイルモデルを指定された条件付け（conditioning）に適用し、CLIPビジョンモデルの出力に基づいてスタイルを強化または変更します。スタイルモデルの条件付けを既存の条件付けに統合することで、生成プロセスにおいてスタイルをシームレスにブレンドすることを可能にします。 ## 入力 ### 必須 -| パラメータ | Comfy dtype | 説明 | -|-----------------------|-----------------------|-------------| -| `コンディショニング` | `CONDITIONING` | スタイルモデルの条件付けが適用される元の条件付けデータです。強化または変更されるベースとなるコンテキストやスタイルを定義するために重要です。 | -| `スタイルモデル` | `STYLE_MODEL` | CLIPビジョンモデルの出力に基づいて新しい条件付けを生成するために使用されるスタイルモデルです。適用する新しいスタイルを定義する上で重要な役割を果たします。 | -| `クリップビジョン出力` | `CLIP_VISION_OUTPUT` | CLIPビジョンモデルからの出力であり、スタイルモデルが新しい条件付けを生成するために使用します。スタイル適用に必要な視覚的なコンテキストを提供します。 | +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `コンディショニング` | スタイルモデルの条件付けが適用される元の条件付けデータです。強化または変更されるベースとなるコンテキストやスタイルを定義するために重要です。 | `CONDITIONING` | +| `スタイルモデル` | CLIPビジョンモデルの出力に基づいて新しい条件付けを生成するために使用されるスタイルモデルです。適用する新しいスタイルを定義する上で重要な役割を果たします。 | `STYLE_MODEL` | +| `クリップビジョン出力` | CLIPビジョンモデルからの出力であり、スタイルモデルが新しい条件付けを生成するために使用します。スタイル適用に必要な視覚的なコンテキストを提供します。 | `CLIP_VISION_OUTPUT` | ## 出力 -| パラメータ | Comfy dtype | 説明 | -|----------------------|-----------------------|-------------| -| `コンディショニング` | `CONDITIONING` | スタイルモデルの出力を組み込んだ、強化または変更された条件付けです。さらなる処理や生成の準備が整った、最終的なスタイル適用済みの条件付けを表します。 | \ No newline at end of file +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `コンディショニング` | スタイルモデルの出力を組み込んだ、強化または変更された条件付けです。さらなる処理や生成の準備が整った、最終的なスタイル適用済みの条件付けを表します。 | `CONDITIONING` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StyleModelApply/ja.md) diff --git a/ja/built-in-nodes/StyleModelLoader.mdx b/ja/built-in-nodes/StyleModelLoader.mdx index bd05b4be4..7814eecd6 100644 --- a/ja/built-in-nodes/StyleModelLoader.mdx +++ b/ja/built-in-nodes/StyleModelLoader.mdx @@ -5,20 +5,20 @@ sidebarTitle: "StyleModelLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StyleModelLoader/ja.md) - このノードは、`ComfyUI/models/style_models` フォルダ内にあるモデルを検出し、さらに extra_model_paths.yaml ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、該当フォルダからモデルファイルを読み取らせる必要があります。 StyleModelLoader ノードは、指定されたパスからスタイルモデルを読み込むために設計されています。このノードは、画像に特定の芸術的なスタイルを適用するために使用できるスタイルモデルを取得および初期化することに特化しており、読み込まれたスタイルモデルに基づいて視覚的な出力をカスタマイズすることを可能にします。 ## 入力 -| パラメータ名 | Comfy データ型 | Python データ型 | 説明 | -|---------------------|-----------------|------------------|-------------------------------------------------------------------------------------------------------| -| `スタイルモデル名` | COMBO[STRING] | `str` | 読み込むスタイルモデルの名前を指定します。この名前は、定義されたディレクトリ構造内でモデルファイルを特定するために使用され、ユーザーの入力やアプリケーションのニーズに応じて異なるスタイルモデルを動的に読み込むことを可能にします。 | +| パラメータ名 | 説明 | Comfy データ型 | Python データ型 | +| --- | --- | --- | --- | +| `スタイルモデル名` | 読み込むスタイルモデルの名前を指定します。この名前は、定義されたディレクトリ構造内でモデルファイルを特定するために使用され、ユーザーの入力やアプリケーションのニーズに応じて異なるスタイルモデルを動的に読み込むことを可能にします。 | COMBO[STRING] | `str` | ## 出力 -| パラメータ名 | Comfy データ型 | Python データ型 | 説明 | -|-----------------|----------------|------------------|-------------------------------------------------------------------------------------------------------| -| `style_model` | `STYLE_MODEL` | `StyleModel` | 読み込まれたスタイルモデルを返します。このモデルは、画像にスタイルを適用するために使用できる状態になっています。これにより、異なる芸術的なスタイルを適用することで、視覚的な出力を動的にカスタマイズすることが可能になります。 | \ No newline at end of file +| パラメータ名 | 説明 | Comfy データ型 | Python データ型 | +| --- | --- | --- | --- | +| `style_model` | 読み込まれたスタイルモデルを返します。このモデルは、画像にスタイルを適用するために使用できる状態になっています。これにより、異なる芸術的なスタイルを適用することで、視覚的な出力を動的にカスタマイズすることが可能になります。 | `STYLE_MODEL` | `StyleModel` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StyleModelLoader/ja.md) diff --git a/ja/built-in-nodes/SvdImg2vidConditioning.mdx b/ja/built-in-nodes/SvdImg2vidConditioning.mdx index 564215b1d..c5bc351aa 100644 --- a/ja/built-in-nodes/SvdImg2vidConditioning.mdx +++ b/ja/built-in-nodes/SvdImg2vidConditioning.mdx @@ -5,28 +5,28 @@ sidebarTitle: "SvdImg2vidConditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SvdImg2vidConditioning/ja.md) - このノードは、ビデオ生成タスク用の条件付けデータを生成するために設計されており、特にSVD_img2vidモデルでの使用に最適化されています。初期画像、ビデオパラメータ、VAEモデルなど様々な入力を受け取り、ビデオフレームの生成を導くための条件付けデータを生成します。 ## 入力 -| パラメータ | Comfy dtype | 説明 | -|----------------------|--------------------|-------------| -| `clip_vision` | `CLIP_VISION` | 初期画像から視覚的特徴をエンコードするために使用されるCLIPビジョンモデルを表し、ビデオ生成における画像の内容とコンテキストの理解に重要な役割を果たします。 | -| `init_image` | `IMAGE` | ビデオが生成される元となる初期画像であり、ビデオ生成プロセスの開始点として機能します。 | -| `vae` | `VAE` | 初期画像を潜在空間にエンコードするために使用される変分オートエンコーダ（VAE）モデルであり、一貫性と連続性のあるビデオフレームの生成を容易にします。 | -| `width` | `INT` | 生成されるビデオフレームの希望幅であり、ビデオの解像度をカスタマイズできます。 | -| `height` | `INT` | ビデオフレームの希望高さであり、ビデオのアスペクト比と解像度を制御できます。 | -| `video_frames` | `INT` | ビデオ用に生成されるフレーム数を指定し、ビデオの長さを決定します。 | -| `motion_bucket_id` | `INT` | ビデオ生成に適用する動きの種類を分類するための識別子であり、ダイナミックで魅力的なビデオの作成に役立ちます。 | -| `fps` | `INT` | ビデオのフレームレート（fps）であり、生成されるビデオの滑らかさとリアリズムに影響を与えます。 | -| `augmentation_level` | `FLOAT` | 初期画像に適用される拡張のレベルを制御するパラメータであり、生成されるビデオフレームの多様性とばらつきに影響を与えます。 | +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `clip_vision` | 初期画像から視覚的特徴をエンコードするために使用されるCLIPビジョンモデルを表し、ビデオ生成における画像の内容とコンテキストの理解に重要な役割を果たします。 | `CLIP_VISION` | +| `init_image` | ビデオが生成される元となる初期画像であり、ビデオ生成プロセスの開始点として機能します。 | `IMAGE` | +| `vae` | 初期画像を潜在空間にエンコードするために使用される変分オートエンコーダ（VAE）モデルであり、一貫性と連続性のあるビデオフレームの生成を容易にします。 | `VAE` | +| `width` | 生成されるビデオフレームの希望幅であり、ビデオの解像度をカスタマイズできます。 | `INT` | +| `height` | ビデオフレームの希望高さであり、ビデオのアスペクト比と解像度を制御できます。 | `INT` | +| `video_frames` | ビデオ用に生成されるフレーム数を指定し、ビデオの長さを決定します。 | `INT` | +| `motion_bucket_id` | ビデオ生成に適用する動きの種類を分類するための識別子であり、ダイナミックで魅力的なビデオの作成に役立ちます。 | `INT` | +| `fps` | ビデオのフレームレート（fps）であり、生成されるビデオの滑らかさとリアリズムに影響を与えます。 | `INT` | +| `augmentation_level` | 初期画像に適用される拡張のレベルを制御するパラメータであり、生成されるビデオフレームの多様性とばらつきに影響を与えます。 | `FLOAT` | ## 出力 -| パラメータ | Comfy dtype | 説明 | -|---------------|--------------------|-------------| -| `positive` | `CONDITIONING` | ポジティブ条件付けデータであり、エンコードされた特徴とパラメータで構成され、ビデオ生成プロセスを望ましい方向に導きます。 | -| `negative` | `CONDITIONING` | ネガティブ条件付けデータであり、ポジティブ条件付けとの対比を提供し、生成されたビデオにおける特定のパターンや特徴を回避するために使用できます。 | -| `latent` | `LATENT` | ビデオの各フレームに対して生成された潜在表現であり、ビデオ生成プロセスの基盤コンポーネントとして機能します。 | \ No newline at end of file +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `positive` | ポジティブ条件付けデータであり、エンコードされた特徴とパラメータで構成され、ビデオ生成プロセスを望ましい方向に導きます。 | `CONDITIONING` | +| `negative` | ネガティブ条件付けデータであり、ポジティブ条件付けとの対比を提供し、生成されたビデオにおける特定のパターンや特徴を回避するために使用できます。 | `CONDITIONING` | +| `latent` | ビデオの各フレームに対して生成された潜在表現であり、ビデオ生成プロセスの基盤コンポーネントとして機能します。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SvdImg2vidConditioning/ja.md) diff --git a/ja/built-in-nodes/T5TokenizerOptions.mdx b/ja/built-in-nodes/T5TokenizerOptions.mdx index 0e18da6c6..5c96cc00d 100644 --- a/ja/built-in-nodes/T5TokenizerOptions.mdx +++ b/ja/built-in-nodes/T5TokenizerOptions.mdx @@ -5,8 +5,6 @@ sidebarTitle: "T5TokenizerOptions" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/T5TokenizerOptions/ja.md) - 以下が翻訳結果です。 --- @@ -15,17 +13,19 @@ T5TokenizerOptions ノードを使用すると、さまざまな T5 モデルタ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | - | トークナイザーオプションを構成する対象の CLIP モデル | -| `最小パディング` | INT | いいえ | 0 ～ 10000 | すべての T5 モデルタイプに設定する最小パディング値（デフォルト：0） | -| `最小長` | INT | いいえ | 0 ～ 10000 | すべての T5 モデルタイプに設定する最小長さの値（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip` | トークナイザーオプションを構成する対象の CLIP モデル | CLIP | はい | - | +| `最小パディング` | すべての T5 モデルタイプに設定する最小パディング値（デフォルト：0） | INT | いいえ | 0 ～ 10000 | +| `最小長` | すべての T5 モデルタイプに設定する最小長さの値（デフォルト：0） | INT | いいえ | 0 ～ 10000 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | CLIP | すべての T5 バリアントに更新されたトークナイザーオプションが適用された、変更済みの CLIP モデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | すべての T5 バリアントに更新されたトークナイザーオプションが適用された、変更済みの CLIP モデル | CLIP | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/T5TokenizerOptions/ja.md) --- **Source fingerprint (SHA-256):** `bc05c714e4006786d0c948ed1de05324257472337397b0aa4ce574d7483929ff` diff --git a/ja/built-in-nodes/TCFG.mdx b/ja/built-in-nodes/TCFG.mdx index ac0dc5e0c..1bc632ae4 100644 --- a/ja/built-in-nodes/TCFG.mdx +++ b/ja/built-in-nodes/TCFG.mdx @@ -5,23 +5,23 @@ sidebarTitle: "TCFG" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TCFG/ja.md) - 以下が翻訳結果です。 TCFG（接線減衰CFG）は、サンプリングプロセス中に無条件（ネガティブ）予測を洗練し、条件付き（ポジティブ）予測とより良く整合させる手法です。この技術は、研究論文2503.18137に基づき、無条件ガイダンスに接線減衰を適用することで出力品質を向上させます。このノードは、分類器フリーガイダンス中に無条件予測が処理される方法を調整することで、モデルのサンプリング動作を変更します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | 接線減衰CFGを適用するモデル | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 接線減衰CFGを適用するモデル | MODEL | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `patched_model` | MODEL | 接線減衰CFGが適用された修正済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `patched_model` | 接線減衰CFGが適用された修正済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TCFG/ja.md) --- **Source fingerprint (SHA-256):** `de6b4deb8a42f05dff90e393bff1e0b4b8ed58887586ca81c236e1a780be5776` diff --git a/ja/built-in-nodes/TemporalScoreRescaling.mdx b/ja/built-in-nodes/TemporalScoreRescaling.mdx index aeea490da..27988adc9 100644 --- a/ja/built-in-nodes/TemporalScoreRescaling.mdx +++ b/ja/built-in-nodes/TemporalScoreRescaling.mdx @@ -5,23 +5,23 @@ sidebarTitle: "TemporalScoreRescaling" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TemporalScoreRescaling/ja.md) - このノードは、拡散モデルに Temporal Score Rescaling（TSR）を適用します。ノイズ除去プロセス中に予測されたノイズまたはスコアをリスケーリングすることで、モデルのサンプリング動作を変更し、生成出力の多様性を調整できます。これは、Post-CFG（分類器不要ガイダンス）関数として実装されています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | TSR 関数でパッチ適用される拡散モデルです。 | -| `tsr_k` | FLOAT | いいえ | 0.01 - 100.0 | リスケーリングの強度を制御します。画像生成において、k の値が小さいほど詳細な結果が得られ、大きいほど滑らかな結果が得られます。k = 1 に設定するとリスケーリングが無効になります。（デフォルト: 0.95） | -| `tsr_sigma` | FLOAT | いいえ | 0.01 - 100.0 | リスケーリングが効果を発揮するタイミングを制御します。値が大きいほど早期に効果が現れます。（デフォルト: 1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | TSR 関数でパッチ適用される拡散モデルです。 | MODEL | はい | - | +| `tsr_k` | リスケーリングの強度を制御します。画像生成において、k の値が小さいほど詳細な結果が得られ、大きいほど滑らかな結果が得られます。k = 1 に設定するとリスケーリングが無効になります。（デフォルト: 0.95） | FLOAT | いいえ | 0.01 - 100.0 | +| `tsr_sigma` | リスケーリングが効果を発揮するタイミングを制御します。値が大きいほど早期に効果が現れます。（デフォルト: 1.0） | FLOAT | いいえ | 0.01 - 100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `patched_model` | MODEL | 入力モデルに、サンプリングプロセスに Temporal Score Rescaling 関数が適用されたパッチが適用されたものです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `patched_model` | 入力モデルに、サンプリングプロセスに Temporal Score Rescaling 関数が適用されたパッチが適用されたものです。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TemporalScoreRescaling/ja.md) --- **Source fingerprint (SHA-256):** `2931b42ac93cf50e2c395bacf3128bb43dcc043ab5c8f86d7aabe4d35a44d20a` diff --git a/ja/built-in-nodes/Tencent3DPartNode.mdx b/ja/built-in-nodes/Tencent3DPartNode.mdx index a337a0649..66443870e 100644 --- a/ja/built-in-nodes/Tencent3DPartNode.mdx +++ b/ja/built-in-nodes/Tencent3DPartNode.mdx @@ -5,26 +5,26 @@ sidebarTitle: "Tencent3DPartNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DPartNode/ja.md) - このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md) このノードは、Tencent Hunyuan3D APIを使用して3Dモデルを自動解析し、その構造に基づいてコンポーネントを生成または識別します。モデルを処理し、新しいFBXファイルを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `3Dモデル` | FILE3D | はい | FBX, Any | 処理する3Dモデルです。モデルはFBX形式で、30000面未満である必要があります。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを制御するシード値です。シード値に関係なく、結果は非決定的です。（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `3Dモデル` | 処理する3Dモデルです。モデルはFBX形式で、30000面未満である必要があります。 | FILE3D | はい | FBX, Any | +| `シード` | ノードを再実行するかどうかを制御するシード値です。シード値に関係なく、結果は非決定的です。（デフォルト：0） | INT | いいえ | 0 ～ 2147483647 | **注記：** `model_3d`入力はFBX形式のファイルのみをサポートしています。異なる3Dファイル形式が指定された場合、ノードはエラーを発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `FBX` | FILE3DFBX | 処理された3DモデルがFBXファイルとして返されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `FBX` | 処理された3DモデルがFBXファイルとして返されます。 | FILE3DFBX | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DPartNode/ja.md) --- **Source fingerprint (SHA-256):** `eae7d0197d4391af1f5f24f120c64f1045649182108affad10b9a00f329310fe` diff --git a/ja/built-in-nodes/Tencent3DTextureEditNode.mdx b/ja/built-in-nodes/Tencent3DTextureEditNode.mdx index 87b3ffd4e..a49299fa2 100644 --- a/ja/built-in-nodes/Tencent3DTextureEditNode.mdx +++ b/ja/built-in-nodes/Tencent3DTextureEditNode.mdx @@ -5,27 +5,27 @@ sidebarTitle: "Tencent3DTextureEditNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/ja.md) - このノードは、Tencent Hunyuan3D API を使用して 3D モデルのテクスチャを編集します。3D モデルと希望する変更内容のテキスト説明を入力すると、プロンプトに従ってテクスチャが再描画された新しいバージョンのモデルが返されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_3d` | FILE3D | はい | FBX, Any | FBX 形式の 3D モデル。モデルの面数は 100,000 未満である必要があります。 | -| `prompt` | STRING | はい | | テクスチャ編集内容を記述します。最大 1024 UTF-8 文字まで対応しています。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。シードに関わらず結果は非決定的です。（デフォルト: 0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_3d` | FBX 形式の 3D モデル。モデルの面数は 100,000 未満である必要があります。 | FILE3D | はい | FBX, Any | +| `prompt` | テクスチャ編集内容を記述します。最大 1024 UTF-8 文字まで対応しています。 | STRING | はい | | +| `seed` | シードはノードを再実行するかどうかを制御します。シードに関わらず結果は非決定的です。（デフォルト: 0） | INT | いいえ | 0 ～ 2147483647 | **注記:** `model_3d` 入力は FBX 形式のファイルである必要があります。このノードは他の 3D ファイル形式をサポートしていません。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `OBJ` | FILE3D | 処理済みの 3D モデル（GLB 形式）。 | -| `texture_image` | FILE3D | 処理済みの 3D モデル（OBJ 形式）。 | -| `texture_image` | IMAGE | 新しく生成された 3D モデル用のテクスチャ画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `OBJ` | 処理済みの 3D モデル（GLB 形式）。 | FILE3D | +| `texture_image` | 処理済みの 3D モデル（OBJ 形式）。 | FILE3D | +| `texture_image` | 新しく生成された 3D モデル用のテクスチャ画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/ja.md) --- **Source fingerprint (SHA-256):** `c8e81fcfc24707746b8d1291d31aff325523cd93a627b896402ce1b5a96c7e87` diff --git a/ja/built-in-nodes/TencentImageToModelNode.mdx b/ja/built-in-nodes/TencentImageToModelNode.mdx index 4267018a9..03f085f85 100644 --- a/ja/built-in-nodes/TencentImageToModelNode.mdx +++ b/ja/built-in-nodes/TencentImageToModelNode.mdx @@ -5,38 +5,38 @@ sidebarTitle: "TencentImageToModelNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentImageToModelNode/ja.md) - このノードは、TencentのHunyuan3D Pro APIを使用して、1つ以上の入力画像から3Dモデルを生成します。画像を処理し、APIに送信して、生成された3DモデルファイルをGLBおよびOBJ形式で、オプションのテクスチャマップとともに返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"3.0"`
`"3.1"` | 使用するHunyuan3Dモデルのバージョン。LowPolyオプションは`3.1`モデルでは使用できません。 | -| `画像` | IMAGE | はい | - | 3Dモデルの生成に使用する主要な入力画像。128x128ピクセル以上である必要があります。 | -| `左画像` | IMAGE | いいえ | - | マルチビュー生成用のオブジェクト左側のオプション画像。128x128ピクセル以上である必要があります。 | -| `右画像` | IMAGE | いいえ | - | マルチビュー生成用のオブジェクト右側のオプション画像。128x128ピクセル以上である必要があります。 | -| `背面画像` | IMAGE | いいえ | - | マルチビュー生成用のオブジェクト背面のオプション画像。128x128ピクセル以上である必要があります。 | -| `面数` | INT | はい | 3000 - 1500000 | 生成される3Dモデルの目標ポリゴン数（デフォルト：500000）。 | -| `生成タイプ` | DYNAMICCOMBO | はい | `"Normal"`
`"LowPoly"`
`"Geometry"` | 生成する3Dモデルのタイプ。オプションを選択すると、関連する追加パラメータが表示されます。 | -| `generate_type.pbr` | BOOLEAN | いいえ | - | 物理ベースレンダリング（PBR）マテリアル生成を有効にします。このパラメータは、`生成タイプ`が"Normal"または"LowPoly"に設定されている場合にのみ表示されます（デフォルト：False）。 | -| `generate_type.polygon_type` | COMBO | いいえ | `"triangle"`
`"quadrilateral"` | メッシュに使用するポリゴンのタイプ。このパラメータは、`生成タイプ`が"LowPoly"に設定されている場合にのみ表示されます。 | -| `シード` | INT | はい | 0 - 2147483647 | 生成プロセス用のシード値。シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト：0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 使用するHunyuan3Dモデルのバージョン。LowPolyオプションは`3.1`モデルでは使用できません。 | COMBO | はい | `"3.0"`
`"3.1"` | +| `画像` | 3Dモデルの生成に使用する主要な入力画像。128x128ピクセル以上である必要があります。 | IMAGE | はい | - | +| `左画像` | マルチビュー生成用のオブジェクト左側のオプション画像。128x128ピクセル以上である必要があります。 | IMAGE | いいえ | - | +| `右画像` | マルチビュー生成用のオブジェクト右側のオプション画像。128x128ピクセル以上である必要があります。 | IMAGE | いいえ | - | +| `背面画像` | マルチビュー生成用のオブジェクト背面のオプション画像。128x128ピクセル以上である必要があります。 | IMAGE | いいえ | - | +| `面数` | 生成される3Dモデルの目標ポリゴン数（デフォルト：500000）。 | INT | はい | 3000 - 1500000 | +| `生成タイプ` | 生成する3Dモデルのタイプ。オプションを選択すると、関連する追加パラメータが表示されます。 | DYNAMICCOMBO | はい | `"Normal"`
`"LowPoly"`
`"Geometry"` | +| `generate_type.pbr` | 物理ベースレンダリング（PBR）マテリアル生成を有効にします。このパラメータは、`生成タイプ`が"Normal"または"LowPoly"に設定されている場合にのみ表示されます（デフォルト：False）。 | BOOLEAN | いいえ | - | +| `generate_type.polygon_type` | メッシュに使用するポリゴンのタイプ。このパラメータは、`生成タイプ`が"LowPoly"に設定されている場合にのみ表示されます。 | COMBO | いいえ | `"triangle"`
`"quadrilateral"` | +| `シード` | 生成プロセス用のシード値。シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト：0）。 | INT | はい | 0 - 2147483647 | **注記：** すべての入力画像は、最小幅と高さが128ピクセルである必要があります。画像の最長辺が4900ピクセルを超える場合は、自動的にダウンスケールされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `GLB` | STRING | 下位互換性のためのレガシー出力です。 | -| `OBJ` | FILE3DGLB | GLB（Binary GL Transmission Format）ファイル形式で生成された3Dモデルです。 | -| `texture_image` | FILE3DOBJ | OBJ（Wavefront）ファイル形式で生成された3Dモデルです。 | -| `optional_metallic` | IMAGE | 生成された3Dモデルのテクスチャ画像です。 | -| `optional_normal` | IMAGE | PBRマテリアル用のメタリックマップです。利用できない場合は黒画像を返します。 | -| `optional_roughness` | IMAGE | PBRマテリアル用の法線マップです。利用できない場合は黒画像を返します。 | -| `optional_roughness` | IMAGE | PBRマテリアル用のラフネスマップです。利用できない場合は黒画像を返します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `GLB` | 下位互換性のためのレガシー出力です。 | STRING | +| `OBJ` | GLB（Binary GL Transmission Format）ファイル形式で生成された3Dモデルです。 | FILE3DGLB | +| `texture_image` | OBJ（Wavefront）ファイル形式で生成された3Dモデルです。 | FILE3DOBJ | +| `optional_metallic` | 生成された3Dモデルのテクスチャ画像です。 | IMAGE | +| `optional_normal` | PBRマテリアル用のメタリックマップです。利用できない場合は黒画像を返します。 | IMAGE | +| `optional_roughness` | PBRマテリアル用の法線マップです。利用できない場合は黒画像を返します。 | IMAGE | +| `optional_roughness` | PBRマテリアル用のラフネスマップです。利用できない場合は黒画像を返します。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentImageToModelNode/ja.md) --- **Source fingerprint (SHA-256):** `56ac9e55bd9bb3a5c7c46c2de1ea06921cf41c0971471f6d0b64166722705e4d` diff --git a/ja/built-in-nodes/TencentModelTo3DUVNode.mdx b/ja/built-in-nodes/TencentModelTo3DUVNode.mdx index 0bb4a2489..0353e4166 100644 --- a/ja/built-in-nodes/TencentModelTo3DUVNode.mdx +++ b/ja/built-in-nodes/TencentModelTo3DUVNode.mdx @@ -5,24 +5,24 @@ sidebarTitle: "TencentModelTo3DUVNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/ja.md) - このノードは、Tencent Hunyuan3D APIを使用して3DモデルのUV展開を実行します。3Dモデルファイルを入力として受け取り、APIに送信して処理し、処理済みのモデルをOBJおよびFBX形式で、生成されたUVテクスチャ画像とともに返します。入力モデルの面数は30,000未満である必要があります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `3Dモデル` | FILE3D | はい | GLB
OBJ
FBX | 入力3Dモデル（GLB、OBJ、またはFBX形式）。モデルの面数は30,000未満である必要があります。 | -| `シード` | INT | いいえ | 0～2147483647 | シード値（デフォルト：1）。ノードを再実行するかどうかを制御しますが、シード値に関わらず結果は非決定的です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `3Dモデル` | 入力3Dモデル（GLB、OBJ、またはFBX形式）。モデルの面数は30,000未満である必要があります。 | FILE3D | はい | GLB
OBJ
FBX | +| `シード` | シード値（デフォルト：1）。ノードを再実行するかどうかを制御しますが、シード値に関わらず結果は非決定的です。 | INT | いいえ | 0～2147483647 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `FBX` | FILE3D | OBJ形式で処理された3Dモデルファイル。 | -| `uv画像` | FILE3D | FBX形式で処理された3Dモデルファイル。 | -| `uv_image` | IMAGE | 生成されたUVテクスチャ画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `FBX` | OBJ形式で処理された3Dモデルファイル。 | FILE3D | +| `uv画像` | FBX形式で処理された3Dモデルファイル。 | FILE3D | +| `uv_image` | 生成されたUVテクスチャ画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/ja.md) --- **Source fingerprint (SHA-256):** `16bf094cfc3146e9d302d73862d2080b94c5aa2d575221d3c8316a3cf69fc5e1` diff --git a/ja/built-in-nodes/TencentSmartTopologyNode.mdx b/ja/built-in-nodes/TencentSmartTopologyNode.mdx index 9f7f91259..5c7546f28 100644 --- a/ja/built-in-nodes/TencentSmartTopologyNode.mdx +++ b/ja/built-in-nodes/TencentSmartTopologyNode.mdx @@ -5,26 +5,26 @@ sidebarTitle: "TencentSmartTopologyNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentSmartTopologyNode/ja.md) - このノードは、3Dモデルに対してスマートリトポロジを実行し、最適化されたポリゴン数の新しいクリーンなメッシュを自動生成します。Tencent Hunyuan 3D APIに接続してモデルを処理し、最大200MBまでのGLBおよびOBJファイル形式に対応しています。処理後のモデルはOBJファイルとして出力されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `3Dモデル` | FILE3D | はい | - | 入力3Dモデル（GLBまたはOBJ）。ファイルはGLBまたはOBJ形式である必要があり、200MBを超えることはできません。 | -| `ポリゴンタイプ` | STRING | はい | `"triangle"`
`"quadrilateral"` | サーフェスの構成タイプ。 | -| `面レベル` | STRING | はい | `"medium"`
`"high"`
`"low"` | ポリゴン削減レベル。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。結果はシードに関わらず非決定的です。（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `3Dモデル` | 入力3Dモデル（GLBまたはOBJ）。ファイルはGLBまたはOBJ形式である必要があり、200MBを超えることはできません。 | FILE3D | はい | - | +| `ポリゴンタイプ` | サーフェスの構成タイプ。 | STRING | はい | `"triangle"`
`"quadrilateral"` | +| `面レベル` | ポリゴン削減レベル。 | STRING | はい | `"medium"`
`"high"`
`"low"` | +| `シード` | シードはノードを再実行するかどうかを制御します。結果はシードに関わらず非決定的です。（デフォルト：0） | INT | いいえ | 0 ～ 2147483647 | **注記：** `seed`パラメータはノードの再実行をトリガーするために使用されますが、同じシード値でも最終出力が同じになることは保証されません。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `OBJ` | FILE3D | 最適化されたトポロジを持つ処理済み3Dモデル。OBJ形式で出力されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `OBJ` | 最適化されたトポロジを持つ処理済み3Dモデル。OBJ形式で出力されます。 | FILE3D | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentSmartTopologyNode/ja.md) --- **Source fingerprint (SHA-256):** `13c2dce5f5fbc46a505d0366d8da1c4e762d3a64d11fae1bcceebd510b273f62` diff --git a/ja/built-in-nodes/TencentTextToModelNode.mdx b/ja/built-in-nodes/TencentTextToModelNode.mdx index 26ea1aa49..33ca1a534 100644 --- a/ja/built-in-nodes/TencentTextToModelNode.mdx +++ b/ja/built-in-nodes/TencentTextToModelNode.mdx @@ -5,19 +5,17 @@ sidebarTitle: "TencentTextToModelNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentTextToModelNode/ja.md) - このノードは、TencentのHunyuan3D Pro APIを使用して、テキスト説明から3Dモデルを生成します。生成タスクを作成するリクエストを送信し、結果をポーリングして、最終的なモデルファイルをGLBおよびOBJ形式でダウンロードします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"3.0"`
`"3.1"` | 使用するHunyuan3Dモデルのバージョン。`3.1`モデルではLowPolyオプションは利用できません。 | -| `プロンプト` | STRING | はい | - | 生成する3Dモデルのテキスト説明。最大1024文字まで対応しています。 | -| `面数` | INT | はい | 3000 - 1500000 | 生成する3Dモデルの目標面数。デフォルト: 500000。 | -| `生成タイプ` | DYNAMICCOMBO | はい | `"Normal"`
`"LowPoly"`
`"Geometry"` | 生成する3Dモデルのタイプ。利用可能なオプションとそれに関連するパラメータは以下の通りです:
- **Normal**: 標準モデルを生成します。`pbr`パラメータ（デフォルト: `False`）を含みます。
- **LowPoly**: ローポリゴンモデルを生成します。`polygon_type`（`"triangle"` または `"quadrilateral"`）および`pbr`（デフォルト: `False`）パラメータを含みます。
- **Geometry**: ジオメトリのみのモデルを生成します。 | -| `シード` | INT | いいえ | 0 - 2147483647 | 生成のためのシード値。シードに関係なく結果は非決定的です。新しいシードを設定すると、ノードを再実行するかどうかを制御します。デフォルト: 0。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 使用するHunyuan3Dモデルのバージョン。`3.1`モデルではLowPolyオプションは利用できません。 | COMBO | はい | `"3.0"`
`"3.1"` | +| `プロンプト` | 生成する3Dモデルのテキスト説明。最大1024文字まで対応しています。 | STRING | はい | - | +| `面数` | 生成する3Dモデルの目標面数。デフォルト: 500000。 | INT | はい | 3000 - 1500000 | +| `生成タイプ` | 生成する3Dモデルのタイプ。利用可能なオプションとそれに関連するパラメータは以下の通りです:
- **Normal**: 標準モデルを生成します。`pbr`パラメータ（デフォルト: `False`）を含みます。
- **LowPoly**: ローポリゴンモデルを生成します。`polygon_type`（`"triangle"` または `"quadrilateral"`）および`pbr`（デフォルト: `False`）パラメータを含みます。
- **Geometry**: ジオメトリのみのモデルを生成します。 | DYNAMICCOMBO | はい | `"Normal"`
`"LowPoly"`
`"Geometry"` | +| `シード` | 生成のためのシード値。シードに関係なく結果は非決定的です。新しいシードを設定すると、ノードを再実行するかどうかを制御します。デフォルト: 0。 | INT | いいえ | 0 - 2147483647 | **注記:** `generate_type`パラメータは動的です。`"LowPoly"`を選択すると、`polygon_type`および`pbr`の追加入力が表示されます。`"Normal"`を選択すると、`pbr`の入力が表示されます。`"Geometry"`を選択しても、追加の入力は表示されません。 @@ -25,12 +23,14 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `GLB` | STRING | 後方互換性のためのレガシー出力です。 | -| `OBJ` | FILE3DGLB | GLBファイル形式で生成された3Dモデルです。 | -| `texture_image` | FILE3DOBJ | OBJファイル形式で生成された3Dモデルです。 | -| `texture_image` | IMAGE | 生成されたOBJファイルから抽出されたテクスチャ画像です（利用可能な場合）。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `GLB` | 後方互換性のためのレガシー出力です。 | STRING | +| `OBJ` | GLBファイル形式で生成された3Dモデルです。 | FILE3DGLB | +| `texture_image` | OBJファイル形式で生成された3Dモデルです。 | FILE3DOBJ | +| `texture_image` | 生成されたOBJファイルから抽出されたテクスチャ画像です（利用可能な場合）。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentTextToModelNode/ja.md) --- **Source fingerprint (SHA-256):** `e35f5165941cc7761639dd72e78141326d37d5e169be9a0e326afcbcdc572b7d` diff --git a/ja/built-in-nodes/TerminalLog.mdx b/ja/built-in-nodes/TerminalLog.mdx index be1b185d9..303265f01 100644 --- a/ja/built-in-nodes/TerminalLog.mdx +++ b/ja/built-in-nodes/TerminalLog.mdx @@ -5,8 +5,6 @@ sidebarTitle: "TerminalLog" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TerminalLog/ja.md) - ## 概要 Terminal Log（Manager）ノードは、主にComfyUIのターミナル上で実行されている情報をComfyUIインターフェース内に表示するために使用されます。使用するには、`mode`を**logging**モードに設定する必要があります。これにより、画像生成タスク中に対応するログ情報を記録できるようになります。`mode`が**stop**モードに設定されている場合、ログ情報は記録されません。 リモート接続やローカルエリアネットワーク接続を介してComfyUIにアクセスして使用する場合、Terminal Log（Manager）ノードは特に有用です。これにより、ComfyUIインターフェース内でCMDからのエラーメッセージを直接表示できるため、ComfyUIの動作状況を把握しやすくなります。 @@ -19,4 +17,6 @@ Terminal Log（Manager）ノードは、主にComfyUIのターミナル上で実 ## 出力 | パラメータ名 | 説明 | |---|---| -| `log` | 記録されたログ情報を含むSTRINGデータを出力します。 | \ No newline at end of file +| `log` | 記録されたログ情報を含むSTRINGデータを出力します。 | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TerminalLog/ja.md) diff --git a/ja/built-in-nodes/TextEncodeAceStepAudio.mdx b/ja/built-in-nodes/TextEncodeAceStepAudio.mdx index fcea5ece9..6acc44a8a 100644 --- a/ja/built-in-nodes/TextEncodeAceStepAudio.mdx +++ b/ja/built-in-nodes/TextEncodeAceStepAudio.mdx @@ -5,8 +5,6 @@ sidebarTitle: "TextEncodeAceStepAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/ja.md) - 以下が翻訳結果です。 このドキュメントは AI によって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/en.md) @@ -15,18 +13,20 @@ TextEncodeAceStepAudio ノードは、タグと歌詞をトークンに結合し ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | - | トークン化とエンコードに使用される CLIP モデル | -| `タグ` | STRING | はい | - | オーディオコンディショニング用のテキストタグまたは説明（複数行入力および動的プロンプトに対応） | -| `歌詞` | STRING | はい | - | オーディオコンディショニング用の歌詞テキスト（複数行入力および動的プロンプトに対応） | -| `歌詞強度` | FLOAT | いいえ | 0.0 - 10.0 | コンディショニング出力に対する歌詞の影響の強さを制御します（デフォルト: 1.0、ステップ: 0.01） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip` | トークン化とエンコードに使用される CLIP モデル | CLIP | はい | - | +| `タグ` | オーディオコンディショニング用のテキストタグまたは説明（複数行入力および動的プロンプトに対応） | STRING | はい | - | +| `歌詞` | オーディオコンディショニング用の歌詞テキスト（複数行入力および動的プロンプトに対応） | STRING | はい | - | +| `歌詞強度` | コンディショニング出力に対する歌詞の影響の強さを制御します（デフォルト: 1.0、ステップ: 0.01） | FLOAT | いいえ | 0.0 - 10.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `conditioning` | CONDITIONING | 適用された歌詞強度で処理されたテキストトークンを含む、エンコードされたコンディショニングデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `conditioning` | 適用された歌詞強度で処理されたテキストトークンを含む、エンコードされたコンディショニングデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/ja.md) --- **Source fingerprint (SHA-256):** `89600133d8b0edaa36958530dacffe812675b595b0d77db702bb7709567cd83d` diff --git a/ja/built-in-nodes/TextEncodeAceStepAudio1.5.mdx b/ja/built-in-nodes/TextEncodeAceStepAudio1.5.mdx index 3d1a1f2a7..89e9918a3 100644 --- a/ja/built-in-nodes/TextEncodeAceStepAudio1.5.mdx +++ b/ja/built-in-nodes/TextEncodeAceStepAudio1.5.mdx @@ -5,35 +5,35 @@ sidebarTitle: "TextEncodeAceStepAudio1.5" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio1.5/ja.md) - TextEncodeAceStepAudio1.5 ノードは、AceStepAudio 1.5 モデルで使用するためのテキストおよびオーディオ関連のメタデータを準備します。このノードは、説明タグ、歌詞、音楽パラメータを受け取り、CLIP モデルを使用してオーディオ生成に適した条件付け形式に変換します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | なし | 入力テキストをトークン化およびエンコードするために使用する CLIP モデル。 | -| `tags` | STRING | はい | なし | ジャンル、ムード、楽器など、オーディオの説明タグ。複数行の入力と動的プロンプトに対応しています。 | -| `lyrics` | STRING | はい | なし | オーディオトラックの歌詞。複数行の入力と動的プロンプトに対応しています。 | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | 再現可能な生成のためのランダムシード値。control_after_generate ウィジェットがあります。デフォルト: 0。 | -| `bpm` | INT | いいえ | 10 ～ 300 | 生成されるオーディオの1分間あたりの拍数（BPM）。デフォルト: 120。 | -| `duration` | FLOAT | いいえ | 0.0 ～ 2000.0 | オーディオの希望する長さ（秒）。デフォルト: 120.0。 | -| `timesignature` | COMBO | いいえ | `"2"`
`"3"`
`"4"`
`"6"` | 音楽の拍子記号。 | -| `language` | COMBO | いいえ | `"ar"`
`"az"`
`"bg"`
`"bn"`
`"ca"`
`"cs"`
`"da"`
`"de"`
`"el"`
`"en"`
`"es"`
`"fa"`
`"fi"`
`"fr"`
`"he"`
`"hi"`
`"hr"`
`"ht"`
`"hu"`
`"id"`
`"is"`
`"it"`
`"ja"`
`"ko"`
`"la"`
`"lt"`
`"ms"`
`"ne"`
`"nl"`
`"no"`
`"pa"`
`"pl"`
`"pt"`
`"ro"`
`"ru"`
`"sa"`
`"sk"`
`"sr"`
`"sv"`
`"sw"`
`"ta"`
`"te"`
`"th"`
`"tl"`
`"tr"`
`"uk"`
`"ur"`
`"vi"`
`"yue"`
`"zh"`
`"unknown"` | 入力テキストの言語。デフォルト: "en"。 | -| `keyscale` | COMBO | いいえ | `"C major"`
`"C minor"`
`"C# major"`
`"C# minor"`
`"Db major"`
`"Db minor"`
`"D major"`
`"D minor"`
`"D# major"`
`"D# minor"`
`"Eb major"`
`"Eb minor"`
`"E major"`
`"E minor"`
`"F major"`
`"F minor"`
`"F# major"`
`"F# minor"`
`"Gb major"`
`"Gb minor"`
`"G major"`
`"G minor"`
`"G# major"`
`"G# minor"`
`"Ab major"`
`"Ab minor"`
`"A major"`
`"A minor"`
`"A# major"`
`"A# minor"`
`"Bb major"`
`"Bb minor"`
`"B major"`
`"B minor"` | 音楽のキーとスケール（メジャーまたはマイナー）。 | -| `generate_audio_codes` | BOOLEAN | いいえ | なし | オーディオコードを生成するLLMを有効にします。処理は遅くなる可能性がありますが、生成されるオーディオの品質が向上します。モデルにオーディオリファレンスを提供する場合は、この設定をオフにしてください。デフォルト: True。 | -| `cfg_scale` | FLOAT | いいえ | 0.0 ～ 100.0 | クラシファイアフリーガイダンススケール。値が大きいほど、出力がプロンプトに厳密に従うようになります。デフォルト: 2.0。 | -| `temperature` | FLOAT | いいえ | 0.0 ～ 2.0 | サンプリング温度。値が低いほど、出力の決定性が高まります。デフォルト: 0.85。 | -| `top_p` | FLOAT | いいえ | 0.0 ～ 2000.0 | 核サンプリング確率（top-p）。デフォルト: 0.9。 | -| `top_k` | INT | いいえ | 0 ～ 100 | 考慮する確率の高いトークンの数（top-k）。デフォルト: 0。 | -| `min_p` | FLOAT | いいえ | 0.0 ～ 1.0 | トークンサンプリングの最小確率しきい値（min-p）。デフォルト: 0.000。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip` | 入力テキストをトークン化およびエンコードするために使用する CLIP モデル。 | CLIP | はい | なし | +| `tags` | ジャンル、ムード、楽器など、オーディオの説明タグ。複数行の入力と動的プロンプトに対応しています。 | STRING | はい | なし | +| `lyrics` | オーディオトラックの歌詞。複数行の入力と動的プロンプトに対応しています。 | STRING | はい | なし | +| `seed` | 再現可能な生成のためのランダムシード値。control_after_generate ウィジェットがあります。デフォルト: 0。 | INT | いいえ | 0 ～ 18446744073709551615 | +| `bpm` | 生成されるオーディオの1分間あたりの拍数（BPM）。デフォルト: 120。 | INT | いいえ | 10 ～ 300 | +| `duration` | オーディオの希望する長さ（秒）。デフォルト: 120.0。 | FLOAT | いいえ | 0.0 ～ 2000.0 | +| `timesignature` | 音楽の拍子記号。 | COMBO | いいえ | `"2"`
`"3"`
`"4"`
`"6"` | +| `language` | 入力テキストの言語。デフォルト: "en"。 | COMBO | いいえ | `"ar"`
`"az"`
`"bg"`
`"bn"`
`"ca"`
`"cs"`
`"da"`
`"de"`
`"el"`
`"en"`
`"es"`
`"fa"`
`"fi"`
`"fr"`
`"he"`
`"hi"`
`"hr"`
`"ht"`
`"hu"`
`"id"`
`"is"`
`"it"`
`"ja"`
`"ko"`
`"la"`
`"lt"`
`"ms"`
`"ne"`
`"nl"`
`"no"`
`"pa"`
`"pl"`
`"pt"`
`"ro"`
`"ru"`
`"sa"`
`"sk"`
`"sr"`
`"sv"`
`"sw"`
`"ta"`
`"te"`
`"th"`
`"tl"`
`"tr"`
`"uk"`
`"ur"`
`"vi"`
`"yue"`
`"zh"`
`"unknown"` | +| `keyscale` | 音楽のキーとスケール（メジャーまたはマイナー）。 | COMBO | いいえ | `"C major"`
`"C minor"`
`"C# major"`
`"C# minor"`
`"Db major"`
`"Db minor"`
`"D major"`
`"D minor"`
`"D# major"`
`"D# minor"`
`"Eb major"`
`"Eb minor"`
`"E major"`
`"E minor"`
`"F major"`
`"F minor"`
`"F# major"`
`"F# minor"`
`"Gb major"`
`"Gb minor"`
`"G major"`
`"G minor"`
`"G# major"`
`"G# minor"`
`"Ab major"`
`"Ab minor"`
`"A major"`
`"A minor"`
`"A# major"`
`"A# minor"`
`"Bb major"`
`"Bb minor"`
`"B major"`
`"B minor"` | +| `generate_audio_codes` | オーディオコードを生成するLLMを有効にします。処理は遅くなる可能性がありますが、生成されるオーディオの品質が向上します。モデルにオーディオリファレンスを提供する場合は、この設定をオフにしてください。デフォルト: True。 | BOOLEAN | いいえ | なし | +| `cfg_scale` | クラシファイアフリーガイダンススケール。値が大きいほど、出力がプロンプトに厳密に従うようになります。デフォルト: 2.0。 | FLOAT | いいえ | 0.0 ～ 100.0 | +| `temperature` | サンプリング温度。値が低いほど、出力の決定性が高まります。デフォルト: 0.85。 | FLOAT | いいえ | 0.0 ～ 2.0 | +| `top_p` | 核サンプリング確率（top-p）。デフォルト: 0.9。 | FLOAT | いいえ | 0.0 ～ 2000.0 | +| `top_k` | 考慮する確率の高いトークンの数（top-k）。デフォルト: 0。 | INT | いいえ | 0 ～ 100 | +| `min_p` | トークンサンプリングの最小確率しきい値（min-p）。デフォルト: 0.000。 | FLOAT | いいえ | 0.0 ～ 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 条件付けデータ。AceStepAudio 1.5 モデル用にエンコードされたテキストとオーディオパラメータが含まれます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 条件付けデータ。AceStepAudio 1.5 モデル用にエンコードされたテキストとオーディオパラメータが含まれます。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio1.5/ja.md) --- **Source fingerprint (SHA-256):** `df70a55024812d8c77a3b618cbff6d3148a3f3f5fc4d17dd3c4282ce7f3cbc2c` diff --git a/ja/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx b/ja/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx index b420ae55c..d8bf70e09 100644 --- a/ja/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx +++ b/ja/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx @@ -5,26 +5,26 @@ sidebarTitle: "TextEncodeHunyuanVideo_ImageToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/en.md) TextEncodeHunyuanVideo_ImageToVideo ノードは、テキストプロンプトと画像埋め込みを組み合わせることで、動画生成用の条件付けデータを作成します。CLIPモデルを使用してテキスト入力とCLIPビジョン出力からの視覚情報の両方を処理し、指定された画像インターリーブ設定に従ってこれら2つの情報源を融合したトークンを生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | - | トークン化とエンコードに使用するCLIPモデル | -| `clip_vision_output` | CLIP_VISION_OUTPUT | はい | - | 画像コンテキストを提供するCLIPビジョンモデルからの視覚埋め込み | -| `プロンプト` | STRING | はい | - | 動画生成をガイドするテキスト説明。複数行入力と動的プロンプトに対応 | -| `画像インターリーブ` | INT | はい | 1-512 | テキストプロンプトと比較して画像が結果に与える影響の度合い。数値が大きいほどテキストプロンプトの影響が強くなります。（デフォルト：2） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip` | トークン化とエンコードに使用するCLIPモデル | CLIP | はい | - | +| `clip_vision_output` | 画像コンテキストを提供するCLIPビジョンモデルからの視覚埋め込み | CLIP_VISION_OUTPUT | はい | - | +| `プロンプト` | 動画生成をガイドするテキスト説明。複数行入力と動的プロンプトに対応 | STRING | はい | - | +| `画像インターリーブ` | テキストプロンプトと比較して画像が結果に与える影響の度合い。数値が大きいほどテキストプロンプトの影響が強くなります。（デフォルト：2） | INT | はい | 1-512 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 動画生成のためにテキストと画像情報を組み合わせた条件付けデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 動画生成のためにテキストと画像情報を組み合わせた条件付けデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/ja.md) --- **Source fingerprint (SHA-256):** `ee748bd1fb1733593eb4cb1187c5cc279171163cfbc389f039378d0e366fc231` diff --git a/ja/built-in-nodes/TextEncodeQwenImageEdit.mdx b/ja/built-in-nodes/TextEncodeQwenImageEdit.mdx index cc8779b12..2f219b6f4 100644 --- a/ja/built-in-nodes/TextEncodeQwenImageEdit.mdx +++ b/ja/built-in-nodes/TextEncodeQwenImageEdit.mdx @@ -5,28 +5,28 @@ sidebarTitle: "TextEncodeQwenImageEdit" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEdit/ja.md) - 以下が翻訳結果です。 TextEncodeQwenImageEdit ノードは、テキストプロンプトとオプションの画像を処理し、画像生成または編集のための条件付けデータを生成します。CLIP モデルを使用して入力をトークン化し、オプションで VAE を使用して参照画像をエンコードし、参照潜在変数を作成します。画像が提供された場合、一貫した処理寸法を維持するために自動的にリサイズされます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | - | テキストと画像のトークン化に使用される CLIP モデル | -| `プロンプト` | STRING | はい | - | 条件付け生成のためのテキストプロンプト。複数行入力と動的プロンプトに対応 | -| `vae` | VAE | いいえ | - | 参照画像を潜在変数にエンコードするためのオプションの VAE モデル | -| `画像` | IMAGE | いいえ | - | 参照または編集目的のオプションの入力画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip` | テキストと画像のトークン化に使用される CLIP モデル | CLIP | はい | - | +| `プロンプト` | 条件付け生成のためのテキストプロンプト。複数行入力と動的プロンプトに対応 | STRING | はい | - | +| `vae` | 参照画像を潜在変数にエンコードするためのオプションの VAE モデル | VAE | いいえ | - | +| `画像` | 参照または編集目的のオプションの入力画像 | IMAGE | いいえ | - | **注記：** `image` と `vae` の両方が提供された場合、ノードは画像を参照潜在変数にエンコードし、条件付け出力に添付します。画像は約 1024x1024 ピクセルの一貫した処理スケールを維持するために自動的にリサイズされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | テキストトークンと、画像生成のためのオプションの参照潜在変数を含む条件付けデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | テキストトークンと、画像生成のためのオプションの参照潜在変数を含む条件付けデータ | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEdit/ja.md) --- **Source fingerprint (SHA-256):** `143af2c93aa56ace3594ecb257cac9dbaef2666665f3fb6dfd7a987cd2ea326f` diff --git a/ja/built-in-nodes/TextEncodeQwenImageEditPlus.mdx b/ja/built-in-nodes/TextEncodeQwenImageEditPlus.mdx index 2391867f1..6cfedb1fb 100644 --- a/ja/built-in-nodes/TextEncodeQwenImageEditPlus.mdx +++ b/ja/built-in-nodes/TextEncodeQwenImageEditPlus.mdx @@ -5,28 +5,28 @@ sidebarTitle: "TextEncodeQwenImageEditPlus" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/ja.md) - TextEncodeQwenImageEditPlus ノードは、テキストプロンプトとオプションの画像を処理し、画像生成や編集タスクのための条件付けデータを生成します。このノードは専用のテンプレートを使用して入力画像を分析し、テキスト指示が画像をどのように変更すべきかを理解した上で、その情報をエンコードして後続の生成ステップで使用できるようにします。最大3つの入力画像を処理でき、VAEが提供された場合はオプションで参照用の潜在表現を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | - | トークン化とエンコードに使用されるCLIPモデル | -| `プロンプト` | STRING | はい | - | 目的の画像変更を説明するテキスト指示（複数行入力と動的プロンプトに対応） | -| `vae` | VAE | いいえ | - | 入力画像から参照用潜在表現を生成するためのオプションのVAEモデル | -| `画像1` | IMAGE | いいえ | - | 分析と変更のための最初のオプション入力画像 | -| `画像2` | IMAGE | いいえ | - | 分析と変更のための2番目のオプション入力画像 | -| `画像3` | IMAGE | いいえ | - | 分析と変更のための3番目のオプション入力画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip` | トークン化とエンコードに使用されるCLIPモデル | CLIP | はい | - | +| `プロンプト` | 目的の画像変更を説明するテキスト指示（複数行入力と動的プロンプトに対応） | STRING | はい | - | +| `vae` | 入力画像から参照用潜在表現を生成するためのオプションのVAEモデル | VAE | いいえ | - | +| `画像1` | 分析と変更のための最初のオプション入力画像 | IMAGE | いいえ | - | +| `画像2` | 分析と変更のための2番目のオプション入力画像 | IMAGE | いいえ | - | +| `画像3` | 分析と変更のための3番目のオプション入力画像 | IMAGE | いいえ | - | **注記：** VAEが提供された場合、ノードはすべての入力画像から参照用潜在表現を生成します。ノードは最大3つの画像を同時に処理できます。画像は視覚言語処理のために自動的に384x384ピクセルにリサイズされ、VAEエンコードのためには8で割り切れる寸法（ターゲット領域は1024x1024ピクセル）にリサイズされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | テキストトークンとオプションの参照用潜在表現を含むエンコードされた条件付けデータ。画像生成に使用されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | テキストトークンとオプションの参照用潜在表現を含むエンコードされた条件付けデータ。画像生成に使用されます。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/ja.md) --- **Source fingerprint (SHA-256):** `54889d9a3b70e41d623020f3fd5e3c798c72799492c67a9efd99f543c88bb968` diff --git a/ja/built-in-nodes/TextEncodeZImageOmni.mdx b/ja/built-in-nodes/TextEncodeZImageOmni.mdx index 35f20f96f..1e3fdd8b0 100644 --- a/ja/built-in-nodes/TextEncodeZImageOmni.mdx +++ b/ja/built-in-nodes/TextEncodeZImageOmni.mdx @@ -5,32 +5,32 @@ sidebarTitle: "TextEncodeZImageOmni" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeZImageOmni/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeZImageOmni/en.md) TextEncodeZImageOmniノードは、テキストプロンプトとオプションの参照画像を、画像生成モデルに適した条件付け形式にエンコードする高度な条件付けノードです。最大3枚の画像を処理し、オプションでビジョンエンコーダーやVAEを使用して参照潜在表現を生成し、特定のテンプレート構造を用いてこれらの視覚的参照をテキストプロンプトと統合します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | | テキストプロンプトのトークン化とエンコードに使用するCLIPモデルです。 | -| `画像エンコーダ` | CLIPVision | いいえ | | オプションのビジョンエンコーダーモデルです。指定された場合、入力画像のエンコードに使用され、結果の埋め込みが条件付けに追加されます。 | -| `プロンプト` | STRING | はい | | エンコードするテキストプロンプトです。このフィールドは複数行入力と動的プロンプトをサポートしています。 | -| `画像自動リサイズ` | BOOLEAN | いいえ | | 有効（デフォルト：True）の場合、VAEでエンコードする前に、入力画像がピクセル面積に基づいて自動的にリサイズされます。 | -| `vae` | VAE | いいえ | | オプションのVAEモデルです。指定された場合、入力画像を潜在表現にエンコードするために使用され、参照潜在表現として条件付けに追加されます。 | -| `画像1` | IMAGE | いいえ | | 1つ目のオプションの参照画像です。 | -| `画像2` | IMAGE | いいえ | | 2つ目のオプションの参照画像です。 | -| `画像3` | IMAGE | いいえ | | 3つ目のオプションの参照画像です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip` | テキストプロンプトのトークン化とエンコードに使用するCLIPモデルです。 | CLIP | はい | | +| `画像エンコーダ` | オプションのビジョンエンコーダーモデルです。指定された場合、入力画像のエンコードに使用され、結果の埋め込みが条件付けに追加されます。 | CLIPVision | いいえ | | +| `プロンプト` | エンコードするテキストプロンプトです。このフィールドは複数行入力と動的プロンプトをサポートしています。 | STRING | はい | | +| `画像自動リサイズ` | 有効（デフォルト：True）の場合、VAEでエンコードする前に、入力画像がピクセル面積に基づいて自動的にリサイズされます。 | BOOLEAN | いいえ | | +| `vae` | オプションのVAEモデルです。指定された場合、入力画像を潜在表現にエンコードするために使用され、参照潜在表現として条件付けに追加されます。 | VAE | いいえ | | +| `画像1` | 1つ目のオプションの参照画像です。 | IMAGE | いいえ | | +| `画像2` | 2つ目のオプションの参照画像です。 | IMAGE | いいえ | | +| `画像3` | 3つ目のオプションの参照画像です。 | IMAGE | いいえ | | **注意:** このノードは最大3枚の画像（`image1`、`image2`、`image3`）を受け入れることができます。`image_encoder`と`vae`の入力は、少なくとも1枚の画像が提供された場合にのみ使用されます。`auto_resize_images`がTrueで`vae`が接続されている場合、画像はエンコード前に総ピクセル面積が1024x1024に近くなるようにリサイズされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 最終的な条件付け出力です。エンコードされたテキストプロンプトを含み、画像が提供された場合はエンコードされた画像埋め込みや参照潜在表現も含まれる場合があります。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CONDITIONING` | 最終的な条件付け出力です。エンコードされたテキストプロンプトを含み、画像が提供された場合はエンコードされた画像埋め込みや参照潜在表現も含まれる場合があります。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeZImageOmni/ja.md) --- **Source fingerprint (SHA-256):** `daa4205acdf72503180eeedb4142708d239d4ff0f689012a298264ae2d8ea949` diff --git a/ja/built-in-nodes/TextGenerate.mdx b/ja/built-in-nodes/TextGenerate.mdx index d20332f3b..c68511a6b 100644 --- a/ja/built-in-nodes/TextGenerate.mdx +++ b/ja/built-in-nodes/TextGenerate.mdx @@ -5,38 +5,38 @@ sidebarTitle: "TextGenerate" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerate/ja.md) - TextGenerateノードは、CLIPモデルを使用してユーザーのプロンプトに基づいたテキストを生成します。オプションで画像、動画、音声を追加のコンテキストとして使用し、テキスト生成をガイドすることもできます。出力の長さを制御したり、対応モデルで思考モードを有効にしたり、さまざまな設定でランダムサンプリングを使用するか、サンプリングなしでテキストを生成するかを選択できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | なし | プロンプトのトークン化とテキスト生成に使用するCLIPモデル。 | -| `プロンプト` | STRING | はい | なし | 生成をガイドするテキストプロンプト。このフィールドは複数行と動的プロンプトに対応しています。デフォルト値は空の文字列です。 | -| `画像` | IMAGE | いいえ | なし | テキストプロンプトと併用して生成テキストに影響を与えることができるオプションの画像。 | -| `ビデオ` | IMAGE | いいえ | なし | 画像バッチとしての動画フレーム。24 FPSと想定され、内部で1 FPSにサブサンプリングされます。 | -| `オーディオ` | AUDIO | いいえ | なし | テキストプロンプトと併用して生成テキストに影響を与えることができるオプションの音声入力。 | -| `最大長` | INT | はい | 1 ～ 2048 | モデルが生成する最大トークン数。デフォルト値は256です。 | -| `サンプリングモード` | COMBO | はい | `"on"`
`"off"` | テキスト生成中にランダムサンプリングを使用するかどうかを制御します。"on"に設定すると、サンプリングを制御する追加パラメータが利用可能になります。デフォルトは"on"です。 | -| `思考モード` | BOOLEAN | いいえ | True または False | モデルが対応している場合、思考モードで動作します。デフォルト値はFalseです。 | -| `use_default_template` | BOOLEAN | いいえ | True または False | モデルに組み込みのシステムプロンプト/テンプレートがある場合、それを使用します。デフォルト値はTrueです。これは高度なパラメータです。 | -| `temperature` | FLOAT | いいえ | 0.01 ～ 2.0 | 出力のランダム性を制御します。値が低いほど出力は予測可能になり、値が高いほど創造的になります。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は0.7です。 | -| `top_k` | INT | いいえ | 0 ～ 1000 | サンプリングプールを確率が高い上位K個のトークンに制限します。値が0の場合はこのフィルターが無効になります。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は64です。 | -| `top_p` | FLOAT | いいえ | 0.0 ～ 1.0 | 核サンプリングを使用し、累積確率がこの値未満のトークンに選択肢を制限します。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は0.95です。 | -| `min_p` | FLOAT | いいえ | 0.0 ～ 1.0 | トークンが考慮されるための最小確率しきい値を設定します。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は0.05です。 | -| `repetition_penalty` | FLOAT | いいえ | 0.0 ～ 5.0 | 既に生成されたトークンにペナルティを課し、繰り返しを減らします。値1.0はペナルティを適用しません。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は1.05です。 | -| `presence_penalty` | FLOAT | いいえ | 0.0 ～ 5.0 | 新しいトークンがこれまでにテキストに出現したかどうかに基づいてペナルティを課し、モデルが新しいトピックについて話すことを促進します。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は0.0です。 | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | サンプリングが"on"の場合に再現可能な結果を得るために乱数生成器を初期化する数値。デフォルト値は0です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip` | プロンプトのトークン化とテキスト生成に使用するCLIPモデル。 | CLIP | はい | なし | +| `プロンプト` | 生成をガイドするテキストプロンプト。このフィールドは複数行と動的プロンプトに対応しています。デフォルト値は空の文字列です。 | STRING | はい | なし | +| `画像` | テキストプロンプトと併用して生成テキストに影響を与えることができるオプションの画像。 | IMAGE | いいえ | なし | +| `ビデオ` | 画像バッチとしての動画フレーム。24 FPSと想定され、内部で1 FPSにサブサンプリングされます。 | IMAGE | いいえ | なし | +| `オーディオ` | テキストプロンプトと併用して生成テキストに影響を与えることができるオプションの音声入力。 | AUDIO | いいえ | なし | +| `最大長` | モデルが生成する最大トークン数。デフォルト値は256です。 | INT | はい | 1 ～ 2048 | +| `サンプリングモード` | テキスト生成中にランダムサンプリングを使用するかどうかを制御します。"on"に設定すると、サンプリングを制御する追加パラメータが利用可能になります。デフォルトは"on"です。 | COMBO | はい | `"on"`
`"off"` | +| `思考モード` | モデルが対応している場合、思考モードで動作します。デフォルト値はFalseです。 | BOOLEAN | いいえ | True または False | +| `use_default_template` | モデルに組み込みのシステムプロンプト/テンプレートがある場合、それを使用します。デフォルト値はTrueです。これは高度なパラメータです。 | BOOLEAN | いいえ | True または False | +| `temperature` | 出力のランダム性を制御します。値が低いほど出力は予測可能になり、値が高いほど創造的になります。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は0.7です。 | FLOAT | いいえ | 0.01 ～ 2.0 | +| `top_k` | サンプリングプールを確率が高い上位K個のトークンに制限します。値が0の場合はこのフィルターが無効になります。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は64です。 | INT | いいえ | 0 ～ 1000 | +| `top_p` | 核サンプリングを使用し、累積確率がこの値未満のトークンに選択肢を制限します。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は0.95です。 | FLOAT | いいえ | 0.0 ～ 1.0 | +| `min_p` | トークンが考慮されるための最小確率しきい値を設定します。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は0.05です。 | FLOAT | いいえ | 0.0 ～ 1.0 | +| `repetition_penalty` | 既に生成されたトークンにペナルティを課し、繰り返しを減らします。値1.0はペナルティを適用しません。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は1.05です。 | FLOAT | いいえ | 0.0 ～ 5.0 | +| `presence_penalty` | 新しいトークンがこれまでにテキストに出現したかどうかに基づいてペナルティを課し、モデルが新しいトピックについて話すことを促進します。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は0.0です。 | FLOAT | いいえ | 0.0 ～ 5.0 | +| `seed` | サンプリングが"on"の場合に再現可能な結果を得るために乱数生成器を初期化する数値。デフォルト値は0です。 | INT | いいえ | 0 ～ 18446744073709551615 | **注記:** パラメータ`temperature`、`top_k`、`top_p`、`min_p`、`repetition_penalty`、`presence_penalty`、`seed`は、`sampling_mode`が"on"に設定されている場合にのみノードインターフェースでアクティブになり、表示されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `generated_text` | STRING | 入力プロンプトとオプションの画像、動画、または音声に基づいてモデルが生成したテキスト。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `generated_text` | 入力プロンプトとオプションの画像、動画、または音声に基づいてモデルが生成したテキスト。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerate/ja.md) --- **Source fingerprint (SHA-256):** `dc6868bd7ebb63c485a4346113834f845416d7359759b2d428525398bdedf343` diff --git a/ja/built-in-nodes/TextGenerateLTX2Prompt.mdx b/ja/built-in-nodes/TextGenerateLTX2Prompt.mdx index f3d1b193d..269ac5351 100644 --- a/ja/built-in-nodes/TextGenerateLTX2Prompt.mdx +++ b/ja/built-in-nodes/TextGenerateLTX2Prompt.mdx @@ -5,8 +5,6 @@ sidebarTitle: "TextGenerateLTX2Prompt" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerateLTX2Prompt/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,25 +12,27 @@ TextGenerateLTX2Prompt ノードは、テキスト生成ノードの特殊バー ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | | テキストエンコーディングに使用されるCLIPモデルです。 | -| `プロンプト` | STRING | はい | | 拡張または補完されるユーザーからの生のテキスト入力です。 | -| `最大長` | INT | はい | | 言語モデルが生成を許可される最大トークン数です。 | -| `サンプリングモード` | COMBO | はい | `"greedy"`
`"top_k"`
`"top_p"`
`"temperature"` | テキスト生成中に次のトークンを選択するために使用されるサンプリング戦略です。 | -| `画像` | IMAGE | いいえ | | オプションの入力画像です。指定された場合、ノードは画像コンテキスト用のプレースホルダーを含む異なるシステムプロンプトを使用します。 | -| `思考モード` | BOOLEAN | いいえ | | 有効にすると、モデルは最終回答の前に推論プロセスを出力します。 | -| `use_default_template` | BOOLEAN | いいえ | | 有効にすると、ノードはフォーマットにデフォルトのチャットテンプレートを使用します。 | -| `ビデオ` | VIDEO | いいえ | | 生成の追加コンテキストとして使用できるオプションのビデオ入力です。 | -| `オーディオ` | AUDIO | いいえ | | 生成の追加コンテキストとして使用できるオプションのオーディオ入力です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip` | テキストエンコーディングに使用されるCLIPモデルです。 | CLIP | はい | | +| `プロンプト` | 拡張または補完されるユーザーからの生のテキスト入力です。 | STRING | はい | | +| `最大長` | 言語モデルが生成を許可される最大トークン数です。 | INT | はい | | +| `サンプリングモード` | テキスト生成中に次のトークンを選択するために使用されるサンプリング戦略です。 | COMBO | はい | `"greedy"`
`"top_k"`
`"top_p"`
`"temperature"` | +| `画像` | オプションの入力画像です。指定された場合、ノードは画像コンテキスト用のプレースホルダーを含む異なるシステムプロンプトを使用します。 | IMAGE | いいえ | | +| `思考モード` | 有効にすると、モデルは最終回答の前に推論プロセスを出力します。 | BOOLEAN | いいえ | | +| `use_default_template` | 有効にすると、ノードはフォーマットにデフォルトのチャットテンプレートを使用します。 | BOOLEAN | いいえ | | +| `ビデオ` | 生成の追加コンテキストとして使用できるオプションのビデオ入力です。 | VIDEO | いいえ | | +| `オーディオ` | 生成の追加コンテキストとして使用できるオプションのオーディオ入力です。 | AUDIO | いいえ | | **注記：** ノードの動作は、`image` 入力の有無によって変化します。画像が提供された場合、生成されるプロンプトは画像からビデオへのタスク用にフォーマットされます。画像が提供されない場合、フォーマットはテキストからビデオへのタスク用になります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | 言語モデルによって生成された、拡張または補完されたテキスト文字列です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 言語モデルによって生成された、拡張または補完されたテキスト文字列です。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerateLTX2Prompt/ja.md) --- **Source fingerprint (SHA-256):** `a3daa0a376a53b9c5613238092cc1289d4c358c7c74b12a6e311681de550d1f8` diff --git a/ja/built-in-nodes/TextToLowercase.mdx b/ja/built-in-nodes/TextToLowercase.mdx index af74c773b..ce305c7ae 100644 --- a/ja/built-in-nodes/TextToLowercase.mdx +++ b/ja/built-in-nodes/TextToLowercase.mdx @@ -5,21 +5,21 @@ sidebarTitle: "TextToLowercase" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToLowercase/ja.md) - Text to Lowercaseノードは、入力されたテキスト文字列を受け取り、そのすべての文字を小文字に変換します。テキストの大文字小文字を統一するためのシンプルなユーティリティです。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | はい | 任意のテキスト文字列 | 小文字に変換するテキスト文字列。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `text` | 小文字に変換するテキスト文字列。 | STRING | はい | 任意のテキスト文字列 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `text` | STRING | すべての文字が小文字に変換された入力テキスト。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `text` | すべての文字が小文字に変換された入力テキスト。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToLowercase/ja.md) --- **Source fingerprint (SHA-256):** `840f5092d5c7c42f9e481614c276af1aac68a6323e41a0d57625f0d162c3a8ff` diff --git a/ja/built-in-nodes/TextToUppercase.mdx b/ja/built-in-nodes/TextToUppercase.mdx index e35417973..66c60bb9d 100644 --- a/ja/built-in-nodes/TextToUppercase.mdx +++ b/ja/built-in-nodes/TextToUppercase.mdx @@ -5,23 +5,23 @@ sidebarTitle: "TextToUppercase" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToUppercase/ja.md) - このドキュメントはAIが生成しました。誤りや改善の提案があれば、ぜひご連絡ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToUppercase/en.md) Text to Uppercase ノードは、テキスト入力を受け取り、そのすべての文字を大文字に変換します。これは、指定された文字列の大文字小文字を変更するシンプルなテキスト処理ユーティリティです。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | はい | なし | 大文字に変換するテキスト文字列。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `text` | 大文字に変換するテキスト文字列。 | STRING | はい | なし | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `text` | STRING | すべての文字が大文字に変換された結果のテキスト。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `text` | すべての文字が大文字に変換された結果のテキスト。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToUppercase/ja.md) --- **Source fingerprint (SHA-256):** `180fa62fcd9171e1dafc140b175647e4b6eaaf9fc3dc39b183ae7cdb7de56543` diff --git a/ja/built-in-nodes/ThresholdMask.mdx b/ja/built-in-nodes/ThresholdMask.mdx index 4ac742d74..beaf99678 100644 --- a/ja/built-in-nodes/ThresholdMask.mdx +++ b/ja/built-in-nodes/ThresholdMask.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ThresholdMask" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ThresholdMask/ja.md) - ThresholdMaskノードは、しきい値を適用してマスクをバイナリマスクに変換します。入力マスクの各ピクセルを指定されたしきい値と比較し、しきい値を超えるピクセルは1（白）、しきい値以下のピクセルは0（黒）となる新しいマスクを生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `マスク` | MASK | はい | - | 処理対象の入力マスク | -| `値` | FLOAT | はい | 0.0 - 1.0 | 二値化のためのしきい値（デフォルト: 0.5） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `マスク` | 処理対象の入力マスク | MASK | はい | - | +| `値` | 二値化のためのしきい値（デフォルト: 0.5） | FLOAT | はい | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `マスク` | MASK | しきい値処理後のバイナリマスク | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `マスク` | しきい値処理後のバイナリマスク | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ThresholdMask/ja.md) --- **Source fingerprint (SHA-256):** `5c61433c05ef8106d928306b64035078e7598605512f20aaf992255f7b166456` diff --git a/ja/built-in-nodes/TomePatchModel.mdx b/ja/built-in-nodes/TomePatchModel.mdx index ea19e0f5b..6e46d7317 100644 --- a/ja/built-in-nodes/TomePatchModel.mdx +++ b/ja/built-in-nodes/TomePatchModel.mdx @@ -5,24 +5,24 @@ sidebarTitle: "TomePatchModel" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TomePatchModel/ja.md) - 以下が翻訳結果です。 TomePatchModelノードは、トークン統合（ToMe）を拡散モデルに適用し、推論時の計算リソース要件を削減します。このノードは、アテンション機構内で類似したトークンを選択的に統合することで、モデルが処理するトークン数を減らしながら画質を維持します。この手法により、品質を大きく損なうことなく生成を高速化できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `モデル` | MODEL | はい | - | トークン統合を適用する拡散モデル | -| `比率` | FLOAT | いいえ | 0.0 - 1.0 | 統合するトークンの割合（デフォルト: 0.3） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | トークン統合を適用する拡散モデル | MODEL | はい | - | +| `比率` | 統合するトークンの割合（デフォルト: 0.3） | FLOAT | いいえ | 0.0 - 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `モデル` | MODEL | トークン統合が適用された変更後のモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | トークン統合が適用された変更後のモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TomePatchModel/ja.md) --- **Source fingerprint (SHA-256):** `23d63ffa1b468a8a41533cc926125f4ef566b13edd1d95a6ef1ae63096a9d878` diff --git a/ja/built-in-nodes/TopazImageEnhance.mdx b/ja/built-in-nodes/TopazImageEnhance.mdx index 0d6e1f0f7..d94388bf9 100644 --- a/ja/built-in-nodes/TopazImageEnhance.mdx +++ b/ja/built-in-nodes/TopazImageEnhance.mdx @@ -5,8 +5,6 @@ sidebarTitle: "TopazImageEnhance" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazImageEnhance/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,29 +13,31 @@ Topaz Image Enhance ノードは、業界標準のアップスケーリングと ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"Reimagine"` | 画像強調に使用するAIモデル。 | -| `画像` | IMAGE | はい | - | 強調処理を行う入力画像。1枚の画像のみサポートされます。 | -| `プロンプト` | STRING | いいえ | - | クリエイティブなアップスケーリングのガイダンスのためのオプションのテキストプロンプト（デフォルト：空）。 | -| `被写体検出` | COMBO | いいえ | `"All"`
`"Foreground"`
`"Background"` | 強調処理が画像のどの部分に焦点を当てるかを制御します（デフォルト："All"）。 | -| `顔強化` | BOOLEAN | いいえ | - | 画像に顔が含まれている場合、顔を強調するために有効にします（デフォルト：True）。 | -| `顔強化クリエイティビティ` | FLOAT | いいえ | 0.0 - 1.0 | 顔強調のクリエイティビティレベルを設定します（デフォルト：0.0）。 | -| `顔強化の強度` | FLOAT | いいえ | 0.0 - 1.0 | 強調された顔が背景に対してどの程度シャープであるかを制御します（デフォルト：1.0）。 | -| `クロップしてフィル` | BOOLEAN | いいえ | - | デフォルトでは、出力のアスペクト比が異なる場合、画像はレターボックス形式で表示されます。代わりに画像をトリミングして出力サイズに合わせる場合は、これを有効にします（デフォルト：False）。 | -| `出力幅` | INT | いいえ | 0 - 32000 | 出力画像の希望する幅。0を指定すると、通常は元のサイズまたは`出力高さ`（指定されている場合）に基づいて自動計算されます（デフォルト：0）。 | -| `出力高さ` | INT | いいえ | 0 - 32000 | 出力画像の希望する高さ。0を指定すると、通常は元のサイズまたは`出力幅`（指定されている場合）に基づいて自動計算されます（デフォルト：0）。 | -| `クリエイティビティ` | INT | いいえ | 1 - 9 | 強調処理の全体的なクリエイティビティレベルを制御します（デフォルト：3）。 | -| `顔の保持` | BOOLEAN | いいえ | - | 画像内の被写体の顔の同一性を保持します（デフォルト：True）。 | -| `色の保持` | BOOLEAN | いいえ | - | 入力画像の元の色を保持します（デフォルト：True）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 画像強調に使用するAIモデル。 | COMBO | はい | `"Reimagine"` | +| `画像` | 強調処理を行う入力画像。1枚の画像のみサポートされます。 | IMAGE | はい | - | +| `プロンプト` | クリエイティブなアップスケーリングのガイダンスのためのオプションのテキストプロンプト（デフォルト：空）。 | STRING | いいえ | - | +| `被写体検出` | 強調処理が画像のどの部分に焦点を当てるかを制御します（デフォルト："All"）。 | COMBO | いいえ | `"All"`
`"Foreground"`
`"Background"` | +| `顔強化` | 画像に顔が含まれている場合、顔を強調するために有効にします（デフォルト：True）。 | BOOLEAN | いいえ | - | +| `顔強化クリエイティビティ` | 顔強調のクリエイティビティレベルを設定します（デフォルト：0.0）。 | FLOAT | いいえ | 0.0 - 1.0 | +| `顔強化の強度` | 強調された顔が背景に対してどの程度シャープであるかを制御します（デフォルト：1.0）。 | FLOAT | いいえ | 0.0 - 1.0 | +| `クロップしてフィル` | デフォルトでは、出力のアスペクト比が異なる場合、画像はレターボックス形式で表示されます。代わりに画像をトリミングして出力サイズに合わせる場合は、これを有効にします（デフォルト：False）。 | BOOLEAN | いいえ | - | +| `出力幅` | 出力画像の希望する幅。0を指定すると、通常は元のサイズまたは`出力高さ`（指定されている場合）に基づいて自動計算されます（デフォルト：0）。 | INT | いいえ | 0 - 32000 | +| `出力高さ` | 出力画像の希望する高さ。0を指定すると、通常は元のサイズまたは`出力幅`（指定されている場合）に基づいて自動計算されます（デフォルト：0）。 | INT | いいえ | 0 - 32000 | +| `クリエイティビティ` | 強調処理の全体的なクリエイティビティレベルを制御します（デフォルト：3）。 | INT | いいえ | 1 - 9 | +| `顔の保持` | 画像内の被写体の顔の同一性を保持します（デフォルト：True）。 | BOOLEAN | いいえ | - | +| `色の保持` | 入力画像の元の色を保持します（デフォルト：True）。 | BOOLEAN | いいえ | - | **注記：** このノードは1枚の入力画像のみ処理できます。複数の画像をバッチで提供するとエラーが発生します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 強調処理された出力画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 強調処理された出力画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazImageEnhance/ja.md) --- **Source fingerprint (SHA-256):** `69f2c929f2cd11f13557e064e30a4514e3862e127a2bdb3a3f40ec92023f255d` diff --git a/ja/built-in-nodes/TopazVideoEnhance.mdx b/ja/built-in-nodes/TopazVideoEnhance.mdx index 217d13a76..9b491cc6f 100644 --- a/ja/built-in-nodes/TopazVideoEnhance.mdx +++ b/ja/built-in-nodes/TopazVideoEnhance.mdx @@ -5,8 +5,6 @@ sidebarTitle: "TopazVideoEnhance" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/ja.md) - 以下が日本語翻訳です。 このドキュメントは AI によって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md) @@ -15,28 +13,30 @@ Topaz Video Enhance ノードは、外部 API を使用して動画の品質を ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `動画` | VIDEO | はい | - | 品質を向上させる入力動画ファイルです。 | -| `アップスケーラー有効` | BOOLEAN | はい | - | 動画のアップスケール機能を有効または無効にします（デフォルト: True）。 | -| `アップスケーラーモデル` | COMBO | はい | `"Starlight (Astra) Fast"`
`"Starlight (Astra) Creative"`
`"Starlight Precise 2.5"` | 動画のアップスケールに使用する AI モデルです。 | -| `アップスケーラー解像度` | COMBO | はい | `"FullHD (1080p)"`
`"4K (2160p)"` | アップスケール後の動画の目標解像度です。 | -| `アップスケーラー創造性` | COMBO | いいえ | `"low"`
`"middle"`
`"high"` | 創造性のレベルです（Starlight (Astra) Creative にのみ適用されます）。（デフォルト: "low"） | -| `補間有効` | BOOLEAN | いいえ | - | フレーム補間機能を有効または無効にします（デフォルト: False）。 | -| `補間モデル` | COMBO | いいえ | `"apo-8"` | フレーム補間に使用するモデルです（デフォルト: "apo-8"）。 | -| `スローモーション補間` | INT | いいえ | 1 から 16 | 入力動画に適用されるスローモーション係数です。例えば、2 を指定すると出力は 2 倍遅くなり、再生時間も 2 倍になります。（デフォルト: 1） | -| `補間フレームレート` | INT | いいえ | 15 から 240 | 出力のフレームレートです。（デフォルト: 60） | -| `重複フレーム除去` | BOOLEAN | いいえ | - | 入力から重複フレームを分析して削除します。（デフォルト: False） | -| `重複検出感度` | FLOAT | いいえ | 0.001 から 0.1 | 重複フレームの検出感度です。（デフォルト: 0.01） | -| `動的圧縮レベル` | COMBO | いいえ | `"Low"`
`"Mid"`
`"High"` | CQP レベルです。（デフォルト: "Low"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `動画` | 品質を向上させる入力動画ファイルです。 | VIDEO | はい | - | +| `アップスケーラー有効` | 動画のアップスケール機能を有効または無効にします（デフォルト: True）。 | BOOLEAN | はい | - | +| `アップスケーラーモデル` | 動画のアップスケールに使用する AI モデルです。 | COMBO | はい | `"Starlight (Astra) Fast"`
`"Starlight (Astra) Creative"`
`"Starlight Precise 2.5"` | +| `アップスケーラー解像度` | アップスケール後の動画の目標解像度です。 | COMBO | はい | `"FullHD (1080p)"`
`"4K (2160p)"` | +| `アップスケーラー創造性` | 創造性のレベルです（Starlight (Astra) Creative にのみ適用されます）。（デフォルト: "low"） | COMBO | いいえ | `"low"`
`"middle"`
`"high"` | +| `補間有効` | フレーム補間機能を有効または無効にします（デフォルト: False）。 | BOOLEAN | いいえ | - | +| `補間モデル` | フレーム補間に使用するモデルです（デフォルト: "apo-8"）。 | COMBO | いいえ | `"apo-8"` | +| `スローモーション補間` | 入力動画に適用されるスローモーション係数です。例えば、2 を指定すると出力は 2 倍遅くなり、再生時間も 2 倍になります。（デフォルト: 1） | INT | いいえ | 1 から 16 | +| `補間フレームレート` | 出力のフレームレートです。（デフォルト: 60） | INT | いいえ | 15 から 240 | +| `重複フレーム除去` | 入力から重複フレームを分析して削除します。（デフォルト: False） | BOOLEAN | いいえ | - | +| `重複検出感度` | 重複フレームの検出感度です。（デフォルト: 0.01） | FLOAT | いいえ | 0.001 から 0.1 | +| `動的圧縮レベル` | CQP レベルです。（デフォルト: "Low"） | COMBO | いいえ | `"Low"`
`"Mid"`
`"High"` | **注意:** 少なくとも 1 つの品質向上機能を有効にする必要があります。`upscaler_enabled` と `interpolation_enabled` の両方が `False` に設定されている場合、ノードはエラーを発生させます。入力動画は MP4 形式である必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `動画` | VIDEO | 品質が向上された出力動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `動画` | 品質が向上された出力動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/ja.md) --- **Source fingerprint (SHA-256):** `70e1a6e0d7bd250f58c43beefe070fd83af19d11ac08cb9a6ac9655a9bfa839f` diff --git a/ja/built-in-nodes/TopazVideoEnhanceV2.mdx b/ja/built-in-nodes/TopazVideoEnhanceV2.mdx index 58ad19cef..4894af8db 100644 --- a/ja/built-in-nodes/TopazVideoEnhanceV2.mdx +++ b/ja/built-in-nodes/TopazVideoEnhanceV2.mdx @@ -5,8 +5,6 @@ sidebarTitle: "TopazVideoEnhanceV2" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/ja.md) - 以下が翻訳結果です。 # Topaz Video Enhance V2 @@ -15,21 +13,21 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ビデオ` | VIDEO | はい | - | 処理する入力動画。MP4 コンテナ形式である必要があります。 | -| `アップスケーラーモデル` | COMBO | はい | `"Astra 2"`
`"Starlight (Astra) Fast"`
`"Starlight (Astra) Creative"`
`"Starlight Precise 2.5"`
`"Disabled"` | 動画のアップスケールに使用する AI モデル。"Disabled" を選択するとアップスケールは適用されません。 | -| `upscaler_model.upscaler_resolution` | COMBO | 条件付き | `"FullHD (1080p)"`
`"4K (2160p)"` | アップスケーラーの目標出力解像度。このパラメータは、アップスケーラーモデルが選択されている場合（"Disabled" 以外）に必須です。 | -| `upscaler_model.creativity` | FLOAT / COMBO | 条件付き | Astra 2: 0.0 ～ 1.0（ステップ 0.1）
Starlight Creative: `"low"`
`"middle"`
`"high"` | アップスケールのクリエイティブ強度。"Astra 2" および "Starlight (Astra) Creative" モデルでのみ使用可能です。Astra 2 の場合はスライダー（デフォルト: 0.5）、Starlight Creative の場合はコンボボックス（デフォルト: "low"）です。 | -| `upscaler_model.prompt` | STRING | いいえ | - | オプションの説明的（指示的ではない）シーンプロンプト。"Astra 2" モデルでのみ使用可能です。設定時は最大 500 入力フレーム（30fps で約 15 秒）に制限されます。デフォルト: 空。 | -| `upscaler_model.sharp` | FLOAT | いいえ | 0.0 ～ 1.0（ステップ 0.01） | 事前エンハンスメントのシャープネス: 0.0=ガウスぼかし、0.5=パススルー（デフォルト）、1.0=USM シャープニング。"Astra 2" モデルでのみ使用可能です。デフォルト: 0.5。 | -| `upscaler_model.realism` | FLOAT | いいえ | 0.0 ～ 1.0（ステップ 0.01） | 出力を写真のような写実性に引き寄せます。モデルのデフォルトを使用する場合は 0 のままにします。"Astra 2" モデルでのみ使用可能です。デフォルト: 0.0。 | -| `補間モデル` | COMBO | はい | `"Disabled"`
`"apo-8"` | フレーム補間に使用する AI モデル。"Disabled" を選択すると補間は適用されません。 | -| `interpolation_model.interpolation_frame_rate` | INT | 条件付き | 15 ～ 240 | 出力フレームレート。補間モデルが "apo-8" の場合に必須です。デフォルト: 60。 | -| `interpolation_model.interpolation_slowmo` | INT | いいえ | 1 ～ 16 | 入力動画に適用するスローモーション係数。例えば、2 に設定すると出力は 2 倍遅くなり、再生時間も 2 倍になります。デフォルト: 1。 | -| `interpolation_model.interpolation_duplicate` | BOOLEAN | いいえ | True/False | 入力内の重複フレームを分析し、削除します。デフォルト: False。 | -| `interpolation_model.interpolation_duplicate_threshold` | FLOAT | いいえ | 0.001 ～ 0.1（ステップ 0.001） | 重複フレームの検出感度。デフォルト: 0.01。 | -| `ダイナミック圧縮レベル` | COMBO | いいえ | `"Low"`
`"Mid"`
`"High"` | 動画圧縮の CQP レベル。デフォルト: "Low"。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ビデオ` | 処理する入力動画。MP4 コンテナ形式である必要があります。 | VIDEO | はい | - | +| `アップスケーラーモデル` | 動画のアップスケールに使用する AI モデル。"Disabled" を選択するとアップスケールは適用されません。 | COMBO | はい | `"Astra 2"`
`"Starlight (Astra) Fast"`
`"Starlight (Astra) Creative"`
`"Starlight Precise 2.5"`
`"Disabled"` | +| `upscaler_model.upscaler_resolution` | アップスケーラーの目標出力解像度。このパラメータは、アップスケーラーモデルが選択されている場合（"Disabled" 以外）に必須です。 | COMBO | 条件付き | `"FullHD (1080p)"`
`"4K (2160p)"` | +| `upscaler_model.creativity` | アップスケールのクリエイティブ強度。"Astra 2" および "Starlight (Astra) Creative" モデルでのみ使用可能です。Astra 2 の場合はスライダー（デフォルト: 0.5）、Starlight Creative の場合はコンボボックス（デフォルト: "low"）です。 | FLOAT / COMBO | 条件付き | Astra 2: 0.0 ～ 1.0（ステップ 0.1）
Starlight Creative: `"low"`
`"middle"`
`"high"` | +| `upscaler_model.prompt` | オプションの説明的（指示的ではない）シーンプロンプト。"Astra 2" モデルでのみ使用可能です。設定時は最大 500 入力フレーム（30fps で約 15 秒）に制限されます。デフォルト: 空。 | STRING | いいえ | - | +| `upscaler_model.sharp` | 事前エンハンスメントのシャープネス: 0.0=ガウスぼかし、0.5=パススルー（デフォルト）、1.0=USM シャープニング。"Astra 2" モデルでのみ使用可能です。デフォルト: 0.5。 | FLOAT | いいえ | 0.0 ～ 1.0（ステップ 0.01） | +| `upscaler_model.realism` | 出力を写真のような写実性に引き寄せます。モデルのデフォルトを使用する場合は 0 のままにします。"Astra 2" モデルでのみ使用可能です。デフォルト: 0.0。 | FLOAT | いいえ | 0.0 ～ 1.0（ステップ 0.01） | +| `補間モデル` | フレーム補間に使用する AI モデル。"Disabled" を選択すると補間は適用されません。 | COMBO | はい | `"Disabled"`
`"apo-8"` | +| `interpolation_model.interpolation_frame_rate` | 出力フレームレート。補間モデルが "apo-8" の場合に必須です。デフォルト: 60。 | INT | 条件付き | 15 ～ 240 | +| `interpolation_model.interpolation_slowmo` | 入力動画に適用するスローモーション係数。例えば、2 に設定すると出力は 2 倍遅くなり、再生時間も 2 倍になります。デフォルト: 1。 | INT | いいえ | 1 ～ 16 | +| `interpolation_model.interpolation_duplicate` | 入力内の重複フレームを分析し、削除します。デフォルト: False。 | BOOLEAN | いいえ | True/False | +| `interpolation_model.interpolation_duplicate_threshold` | 重複フレームの検出感度。デフォルト: 0.01。 | FLOAT | いいえ | 0.001 ～ 0.1（ステップ 0.001） | +| `ダイナミック圧縮レベル` | 動画圧縮の CQP レベル。デフォルト: "Low"。 | COMBO | いいえ | `"Low"`
`"Mid"`
`"High"` | **重要な制約事項:** - `upscaler_model` または `interpolation_model` の少なくとも一方は有効（"Disabled" 以外）である必要があります。そうでない場合はエラーが発生します。 @@ -40,9 +38,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ビデオ` | VIDEO | 選択されたアップスケールおよび/または補間フィルターを適用した後のエンハンスされた動画出力。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ビデオ` | 選択されたアップスケールおよび/または補間フィルターを適用した後のエンハンスされた動画出力。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/ja.md) --- **Source fingerprint (SHA-256):** `29b7538206327c35866126c1862c1d1ccea872ba84fbb9c84126114a06e2b00f` diff --git a/ja/built-in-nodes/TorchCompileModel.mdx b/ja/built-in-nodes/TorchCompileModel.mdx index 47ac922f8..d82c3db54 100644 --- a/ja/built-in-nodes/TorchCompileModel.mdx +++ b/ja/built-in-nodes/TorchCompileModel.mdx @@ -5,24 +5,24 @@ sidebarTitle: "TorchCompileModel" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TorchCompileModel/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 TorchCompileModel ノードは、PyTorch のコンパイル機能をモデルに適用し、パフォーマンスを最適化します。入力モデルのコピーを作成し、指定されたバックエンドを使用して PyTorch のコンパイル機能でラップします。これにより、推論時のモデルの実行速度が向上する可能性があります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | コンパイルおよび最適化されるモデル | -| `バックエンド` | STRING | はい | "inductor"
"cudagraphs" | 最適化に使用する PyTorch コンパイルバックエンド（デフォルト："inductor"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | コンパイルおよび最適化されるモデル | MODEL | はい | - | +| `バックエンド` | 最適化に使用する PyTorch コンパイルバックエンド（デフォルト："inductor"） | STRING | はい | "inductor"
"cudagraphs" | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | PyTorch コンパイルが適用されたコンパイル済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | PyTorch コンパイルが適用されたコンパイル済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TorchCompileModel/ja.md) --- **Source fingerprint (SHA-256):** `923e71b528e6e53468916f74c2a02924bf51738f29e36638312c6da6357fcedb` diff --git a/ja/built-in-nodes/TrainLoraNode.mdx b/ja/built-in-nodes/TrainLoraNode.mdx index 56d910c47..159cee7e7 100644 --- a/ja/built-in-nodes/TrainLoraNode.mdx +++ b/ja/built-in-nodes/TrainLoraNode.mdx @@ -5,35 +5,33 @@ sidebarTitle: "TrainLoraNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrainLoraNode/ja.md) - TrainLoraNodeは、提供された潜在変数と条件付けデータを使用して、拡散モデル上でLoRA（低ランク適応）モデルを作成し、トレーニングします。カスタムトレーニングパラメータ、オプティマイザ、損失関数を使用してモデルをファインチューニングできます。このノードは、トレーニングされたLoRA重み、損失履歴マップ、および完了した総トレーニングステップ数を出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | LoRAをトレーニングするモデル。 | -| `潜在変数` | LATENT | はい | - | トレーニングに使用する潜在変数。モデルのデータセット/入力として機能します。 | -| `ポジティブ条件付け` | CONDITIONING | はい | - | トレーニングに使用するポジティブ条件付け。 | -| `バッチサイズ` | INT | はい | 1-10000 | トレーニングに使用するバッチサイズ（デフォルト: 1）。 | -| `勾配蓄積ステップ数` | INT | はい | 1-1024 | トレーニングに使用する勾配蓄積ステップ数（デフォルト: 1）。 | -| `ステップ数` | INT | はい | 1-100000 | LoRAをトレーニングするステップ数（デフォルト: 16）。 | -| `学習率` | FLOAT | はい | 0.0000001-1.0 | トレーニングに使用する学習率（デフォルト: 0.0005）。 | -| `ランク` | INT | はい | 1-128 | LoRAレイヤーのランク（デフォルト: 8）。 | -| `オプティマイザ` | COMBO | はい | "AdamW"
"Adam"
"SGD"
"RMSprop" | トレーニングに使用するオプティマイザ（デフォルト: "AdamW"）。 | -| `損失関数` | COMBO | はい | "MSE"
"L1"
"Huber"
"SmoothL1" | トレーニングに使用する損失関数（デフォルト: "MSE"）。 | -| `シード` | INT | はい | 0-18446744073709551615 | トレーニングに使用するシード（LoRA重み初期化とノイズサンプリング用のジェネレータで使用）（デフォルト: 0）。 | -| `training_dtype` | COMBO | はい | "bf16"
"fp32"
"none" | トレーニングに使用するデータ型。'none'はモデルのネイティブ計算データ型を保持し、上書きしません。fp16モデルの場合、GradScalerが自動的に有効になります（デフォルト: "bf16"）。 | -| `lora_dtype` | COMBO | はい | "bf16"
"fp32" | LoRAに使用するデータ型（デフォルト: "bf16"）。 | -| `quantized_backward` | BOOLEAN | はい | - | training_dtypeが'none'で量子化モデルをトレーニングする場合、有効にすると逆伝播で量子化行列乗算を使用します（デフォルト: False）。 | -| `algorithm` | COMBO | はい | 複数のオプションが利用可能 | トレーニングに使用するアルゴリズム。 | -| `gradient_checkpointing` | BOOLEAN | はい | - | トレーニングに勾配チェックポイントを使用するかどうか（デフォルト: True）。 | -| `チェックポイント深度` | INT | はい | 1-5 | 勾配チェックポイントの深さレベル（デフォルト: 1）。 | -| `オフロード` | BOOLEAN | はい | - | トレーニング中にモデル重みをCPUにオフロードしてGPUメモリを節約するかどうか（デフォルト: False）。 | -| `existing_lora` | COMBO | はい | 複数のオプションが利用可能 | 追加する既存のLoRA。新しいLoRAの場合はNoneに設定します（デフォルト: "[None]"）。 | -| `バケットモード` | BOOLEAN | はい | - | 解像度バケットモードを有効にします。有効にすると、ResolutionBucketノードから事前にバケット化された潜在変数を期待します（デフォルト: False）。 | -| `bypass_mode` | BOOLEAN | はい | - | トレーニングのバイパスモードを有効にします。有効にすると、アダプターは重み変更ではなくフォワードフックを介して適用されます。重みを直接変更できない量子化モデルに役立ちます（デフォルト: False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | LoRAをトレーニングするモデル。 | MODEL | はい | - | +| `潜在変数` | トレーニングに使用する潜在変数。モデルのデータセット/入力として機能します。 | LATENT | はい | - | +| `ポジティブ条件付け` | トレーニングに使用するポジティブ条件付け。 | CONDITIONING | はい | - | +| `バッチサイズ` | トレーニングに使用するバッチサイズ（デフォルト: 1）。 | INT | はい | 1-10000 | +| `勾配蓄積ステップ数` | トレーニングに使用する勾配蓄積ステップ数（デフォルト: 1）。 | INT | はい | 1-1024 | +| `ステップ数` | LoRAをトレーニングするステップ数（デフォルト: 16）。 | INT | はい | 1-100000 | +| `学習率` | トレーニングに使用する学習率（デフォルト: 0.0005）。 | FLOAT | はい | 0.0000001-1.0 | +| `ランク` | LoRAレイヤーのランク（デフォルト: 8）。 | INT | はい | 1-128 | +| `オプティマイザ` | トレーニングに使用するオプティマイザ（デフォルト: "AdamW"）。 | COMBO | はい | "AdamW"
"Adam"
"SGD"
"RMSprop" | +| `損失関数` | トレーニングに使用する損失関数（デフォルト: "MSE"）。 | COMBO | はい | "MSE"
"L1"
"Huber"
"SmoothL1" | +| `シード` | トレーニングに使用するシード（LoRA重み初期化とノイズサンプリング用のジェネレータで使用）（デフォルト: 0）。 | INT | はい | 0-18446744073709551615 | +| `training_dtype` | トレーニングに使用するデータ型。'none'はモデルのネイティブ計算データ型を保持し、上書きしません。fp16モデルの場合、GradScalerが自動的に有効になります（デフォルト: "bf16"）。 | COMBO | はい | "bf16"
"fp32"
"none" | +| `lora_dtype` | LoRAに使用するデータ型（デフォルト: "bf16"）。 | COMBO | はい | "bf16"
"fp32" | +| `quantized_backward` | training_dtypeが'none'で量子化モデルをトレーニングする場合、有効にすると逆伝播で量子化行列乗算を使用します（デフォルト: False）。 | BOOLEAN | はい | - | +| `algorithm` | トレーニングに使用するアルゴリズム。 | COMBO | はい | 複数のオプションが利用可能 | +| `gradient_checkpointing` | トレーニングに勾配チェックポイントを使用するかどうか（デフォルト: True）。 | BOOLEAN | はい | - | +| `チェックポイント深度` | 勾配チェックポイントの深さレベル（デフォルト: 1）。 | INT | はい | 1-5 | +| `オフロード` | トレーニング中にモデル重みをCPUにオフロードしてGPUメモリを節約するかどうか（デフォルト: False）。 | BOOLEAN | はい | - | +| `existing_lora` | 追加する既存のLoRA。新しいLoRAの場合はNoneに設定します（デフォルト: "[None]"）。 | COMBO | はい | 複数のオプションが利用可能 | +| `バケットモード` | 解像度バケットモードを有効にします。有効にすると、ResolutionBucketノードから事前にバケット化された潜在変数を期待します（デフォルト: False）。 | BOOLEAN | はい | - | +| `bypass_mode` | トレーニングのバイパスモードを有効にします。有効にすると、アダプターは重み変更ではなくフォワードフックを介して適用されます。重みを直接変更できない量子化モデルに役立ちます（デフォルト: False）。 | BOOLEAN | はい | - | **注記:** ポジティブ条件付け入力の数は、潜在画像の数と一致する必要があります。複数の画像に対して1つのポジティブ条件付けのみが提供された場合、すべての画像に対して自動的に繰り返されます。 @@ -45,11 +43,13 @@ TrainLoraNodeは、提供された潜在変数と条件付けデータを使用 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `損失マップ` | LORA_MODEL | トレーニングされたLoRA重み。保存したり、他のモデルに適用したりできます。 | -| `ステップ数` | LOSS_MAP | 時間経過に伴うトレーニング損失値を含む辞書。 | -| `ステップ数` | INT | 完了したトレーニングステップの総数（既存のLoRAからの以前のステップを含む）。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `損失マップ` | トレーニングされたLoRA重み。保存したり、他のモデルに適用したりできます。 | LORA_MODEL | +| `ステップ数` | 時間経過に伴うトレーニング損失値を含む辞書。 | LOSS_MAP | +| `ステップ数` | 完了したトレーニングステップの総数（既存のLoRAからの以前のステップを含む）。 | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrainLoraNode/ja.md) --- **Source fingerprint (SHA-256):** `df315ef416ff3ce81e6a526af2c4e5115980e6c35830825967e7189d4f8541d8` diff --git a/ja/built-in-nodes/TransformSplat.mdx b/ja/built-in-nodes/TransformSplat.mdx new file mode 100644 index 000000000..d44443850 --- /dev/null +++ b/ja/built-in-nodes/TransformSplat.mdx @@ -0,0 +1,36 @@ +--- +title: "TransformSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TransformSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TransformSplat" +icon: "circle" +mode: wide +--- +# Transform Splat + +Transform Splat ノードは、ガウシアンスプラットに対して移動、回転、スケーリングの変換を適用します。スプラット全体を1つのオブジェクトとして移動、回転、リサイズし、不均一なスケーリングが適用された場合には、正確な結果を得るために個々のガウシアンスプラットも再形成します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `splat` | 変換するガウシアンスプラット | SPLAT | はい | - | +| `X移動` | X軸に沿った移動（デフォルト：0.0） | FLOAT | はい | -100.0 ～ 100.0 | +| `Y移動` | Y軸に沿った移動（デフォルト：0.0） | FLOAT | はい | -100.0 ～ 100.0 | +| `Z移動` | Z軸に沿った移動（デフォルト：0.0） | FLOAT | はい | -100.0 ～ 100.0 | +| `X回転` | X軸を中心とした回転（度単位、デフォルト：0.0） | FLOAT | はい | -360.0 ～ 360.0 | +| `Y回転` | Y軸を中心とした回転（度単位、デフォルト：0.0） | FLOAT | はい | -360.0 ～ 360.0 | +| `Z回転` | Z軸を中心とした回転（度単位、デフォルト：0.0） | FLOAT | はい | -360.0 ～ 360.0 | +| `Xスケール` | X軸に沿ったスケール係数（デフォルト：1.0） | FLOAT | はい | 0.01 ～ 100.0 | +| `Yスケール` | Y軸に沿ったスケール係数（デフォルト：1.0） | FLOAT | はい | 0.01 ～ 100.0 | +| `Zスケール` | Z軸に沿ったスケール係数（デフォルト：1.0） | FLOAT | はい | 0.01 ～ 100.0 | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `splat` | 位置、スケール、回転が更新された変換後のガウシアンスプラット | SPLAT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TransformSplat/ja.md) + +--- +**Source fingerprint (SHA-256):** `19e6a7da7b4f0d8c9674ead2d35d742df460576b01c4ab4108dd59a2d08dfcb0` diff --git a/ja/built-in-nodes/TrimAudioDuration.mdx b/ja/built-in-nodes/TrimAudioDuration.mdx index 68f9c01b3..52e39a29f 100644 --- a/ja/built-in-nodes/TrimAudioDuration.mdx +++ b/ja/built-in-nodes/TrimAudioDuration.mdx @@ -5,27 +5,27 @@ sidebarTitle: "TrimAudioDuration" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimAudioDuration/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimAudioDuration/en.md) TrimAudioDuration ノードを使用すると、オーディオファイルから特定の時間範囲を切り出すことができます。トリミングを開始するタイミングと、結果のオーディオクリップの長さを指定できます。このノードは、時間値をオーディオフレーム位置に変換し、対応するオーディオ波形の部分を抽出することで動作します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | はい | - | トリミングするオーディオ入力 | -| `start_index` | FLOAT | はい | -0xffffffffffffffff ～ 0xffffffffffffffff | 開始時間（秒）。負の値を指定すると末尾からカウントします（サブ秒に対応）。デフォルト: 0.0 | -| `duration` | FLOAT | はい | 0.0 ～ 0xffffffffffffffff | 継続時間（秒）。デフォルト: 60.0 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `audio` | トリミングするオーディオ入力 | AUDIO | はい | - | +| `start_index` | 開始時間（秒）。負の値を指定すると末尾からカウントします（サブ秒に対応）。デフォルト: 0.0 | FLOAT | はい | -0xffffffffffffffff ～ 0xffffffffffffffff | +| `duration` | 継続時間（秒）。デフォルト: 60.0 | FLOAT | はい | 0.0 ～ 0xffffffffffffffff | **注記:** 開始時間は終了時間より小さく、かつオーディオ長の範囲内である必要があります。負の開始値はオーディオの末尾から逆方向にカウントします。開始時間が負の値の場合、オーディオの末尾からフレーム位置を計算して変換されます。開始フレームと終了フレームはオーディオの境界内にクランプされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `audio` | AUDIO | 指定された開始時間と継続時間でトリミングされたオーディオセグメント | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `audio` | 指定された開始時間と継続時間でトリミングされたオーディオセグメント | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimAudioDuration/ja.md) --- **Source fingerprint (SHA-256):** `695a9fe11fa086a317f94823e066688705e9f911cd6cfc5857596ff31dd539ed` diff --git a/ja/built-in-nodes/TrimVideoLatent.mdx b/ja/built-in-nodes/TrimVideoLatent.mdx index 6f357cace..3e82c7dca 100644 --- a/ja/built-in-nodes/TrimVideoLatent.mdx +++ b/ja/built-in-nodes/TrimVideoLatent.mdx @@ -5,8 +5,6 @@ sidebarTitle: "TrimVideoLatent" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimVideoLatent/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,16 +13,18 @@ TrimVideoLatent ノードは、動画の潜在表現の先頭からフレーム ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サンプル` | LATENT | はい | - | トリミング対象の動画フレームを含む、入力潜在動画表現 | -| `トリム量` | INT | はい | 0 ～ 99999 | 動画の先頭から削除するフレーム数（デフォルト：0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サンプル` | トリミング対象の動画フレームを含む、入力潜在動画表現 | LATENT | はい | - | +| `トリム量` | 動画の先頭から削除するフレーム数（デフォルト：0） | INT | はい | 0 ～ 99999 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | LATENT | 指定されたフレーム数が先頭から削除された、トリミング済みの潜在動画表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 指定されたフレーム数が先頭から削除された、トリミング済みの潜在動画表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimVideoLatent/ja.md) --- **Source fingerprint (SHA-256):** `7fd482533d1f63219565a3a25776173c77c419fbf5086015d42136f5bfdfbed2` diff --git a/ja/built-in-nodes/TripleCLIPLoader.mdx b/ja/built-in-nodes/TripleCLIPLoader.mdx index e38d37843..4177579e0 100644 --- a/ja/built-in-nodes/TripleCLIPLoader.mdx +++ b/ja/built-in-nodes/TripleCLIPLoader.mdx @@ -5,25 +5,25 @@ sidebarTitle: "TripleCLIPLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripleCLIPLoader/ja.md) - TripleCLIPLoaderノードは、3つの異なるテキストエンコーダーモデルを同時に読み込み、それらを1つのCLIPモデルに結合します。これは、clip-l、clip-g、t5モデルを連携させるSD3ワークフローなど、複数のテキストエンコーダーが必要な高度なテキストエンコードシナリオで役立ちます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `clip_name1` | STRING | はい | 複数のオプションから選択可能 | 利用可能なテキストエンコーダーから読み込む最初のテキストエンコーダーモデル | -| `clip_name2` | STRING | はい | 複数のオプションから選択可能 | 利用可能なテキストエンコーダーから読み込む2番目のテキストエンコーダーモデル | -| `clip_name3` | STRING | はい | 複数のオプションから選択可能 | 利用可能なテキストエンコーダーから読み込む3番目のテキストエンコーダーモデル | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `clip_name1` | 利用可能なテキストエンコーダーから読み込む最初のテキストエンコーダーモデル | STRING | はい | 複数のオプションから選択可能 | +| `clip_name2` | 利用可能なテキストエンコーダーから読み込む2番目のテキストエンコーダーモデル | STRING | はい | 複数のオプションから選択可能 | +| `clip_name3` | 利用可能なテキストエンコーダーから読み込む3番目のテキストエンコーダーモデル | STRING | はい | 複数のオプションから選択可能 | **注意:** 3つのテキストエンコーダーパラメータはすべて、システム内の利用可能なテキストエンコーダーモデルから選択する必要があります。このノードは3つのモデルをすべて読み込み、処理のために1つのCLIPモデルに結合します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `CLIP` | CLIP | 読み込まれた3つのテキストエンコーダーをすべて含む結合されたCLIPモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `CLIP` | 読み込まれた3つのテキストエンコーダーをすべて含む結合されたCLIPモデル | CLIP | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripleCLIPLoader/ja.md) --- **Source fingerprint (SHA-256):** `7a9e61090d9d3b0a776d49006dddece08bc4b463b2acd0a9a0f808170ebde348` diff --git a/ja/built-in-nodes/TripoConversionNode.mdx b/ja/built-in-nodes/TripoConversionNode.mdx index 24ff34716..7e325a4e2 100644 --- a/ja/built-in-nodes/TripoConversionNode.mdx +++ b/ja/built-in-nodes/TripoConversionNode.mdx @@ -5,43 +5,43 @@ sidebarTitle: "TripoConversionNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoConversionNode/ja.md) - 以下が翻訳結果です。 TripoConversionNode は、Tripo API を使用して 3D モデルを異なるファイル形式に変換します。以前の Tripo 操作（モデル生成、リギング、またはリターゲティング）のタスク ID を受け取り、様々なエクスポートオプションを使用して結果のモデルを目的の形式に変換します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `original_model_task_id` | MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID | はい | MODEL_TASK_ID
RIG_TASK_ID
RETARGET_TASK_ID | 以前の Tripo 操作（モデル生成、リギング、またはリターゲティング）のタスク ID | -| `format` | COMBO | はい | GLTF
USDZ
FBX
OBJ
STL
3MF | 変換後の 3D モデルのターゲットファイル形式 | -| `quad` | BOOLEAN | いいえ | True/False | 三角形を四角形に変換するかどうか（デフォルト：False） | -| `face_limit` | INT | いいえ | -1 ～ 2000000 | 出力モデルの最大面数。-1 は制限なし（デフォルト：-1） | -| `texture_size` | INT | いいえ | 128 ～ 4096 | 出力テクスチャのサイズ（ピクセル単位）（デフォルト：4096） | -| `texture_format` | COMBO | いいえ | BMP
DPX
HDR
JPEG
OPEN_EXR
PNG
TARGA
TIFF
WEBP | エクスポートするテクスチャの形式（デフォルト：JPEG） | -| `対称性を強制` | BOOLEAN | いいえ | True/False | モデルに強制的に対称性を適用するかどうか（デフォルト：False） | -| `底面を平坦化` | BOOLEAN | いいえ | True/False | モデルの底面を平坦化するかどうか（デフォルト：False） | -| `底面平坦化しきい値` | FLOAT | いいえ | 0.0 ～ 1.0 | 底面平坦化のしきい値（デフォルト：0.0） | -| `ピボットを底面中央へ` | BOOLEAN | いいえ | True/False | ピボットポイントをモデルの底面中央に移動するかどうか（デフォルト：False） | -| `スケール係数` | FLOAT | いいえ | 0.0 以上 | モデルに適用するスケール係数（デフォルト：1.0） | -| `アニメーション付き` | BOOLEAN | いいえ | True/False | エクスポートにアニメーションデータを含めるかどうか（デフォルト：False） | -| `UVパック` | BOOLEAN | いいえ | True/False | UV 座標をパックするかどうか（デフォルト：False） | -| `ベイク` | BOOLEAN | いいえ | True/False | テクスチャをベイクするかどうか（デフォルト：False） | -| `パーツ名` | STRING | いいえ | カンマ区切りのリスト | エクスポートに含めるパーツ名のカンマ区切りリスト（デフォルト：""） | -| `FBXプリセット` | COMBO | いいえ | blender
mixamo
3dsmax | 使用する FBX エクスポートプリセット（デフォルト：blender） | -| `頂点カラーをエクスポート` | BOOLEAN | いいえ | True/False | 頂点カラーをエクスポートするかどうか（デフォルト：False） | -| `エクスポート方向` | COMBO | いいえ | align_image
default | エクスポートの向きモード（デフォルト：default） | -| `その場でアニメーション` | BOOLEAN | いいえ | True/False | モデルをその場でアニメーションさせるかどうか（デフォルト：False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `original_model_task_id` | 以前の Tripo 操作（モデル生成、リギング、またはリターゲティング）のタスク ID | MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID | はい | MODEL_TASK_ID
RIG_TASK_ID
RETARGET_TASK_ID | +| `format` | 変換後の 3D モデルのターゲットファイル形式 | COMBO | はい | GLTF
USDZ
FBX
OBJ
STL
3MF | +| `quad` | 三角形を四角形に変換するかどうか（デフォルト：False） | BOOLEAN | いいえ | True/False | +| `face_limit` | 出力モデルの最大面数。-1 は制限なし（デフォルト：-1） | INT | いいえ | -1 ～ 2000000 | +| `texture_size` | 出力テクスチャのサイズ（ピクセル単位）（デフォルト：4096） | INT | いいえ | 128 ～ 4096 | +| `texture_format` | エクスポートするテクスチャの形式（デフォルト：JPEG） | COMBO | いいえ | BMP
DPX
HDR
JPEG
OPEN_EXR
PNG
TARGA
TIFF
WEBP | +| `対称性を強制` | モデルに強制的に対称性を適用するかどうか（デフォルト：False） | BOOLEAN | いいえ | True/False | +| `底面を平坦化` | モデルの底面を平坦化するかどうか（デフォルト：False） | BOOLEAN | いいえ | True/False | +| `底面平坦化しきい値` | 底面平坦化のしきい値（デフォルト：0.0） | FLOAT | いいえ | 0.0 ～ 1.0 | +| `ピボットを底面中央へ` | ピボットポイントをモデルの底面中央に移動するかどうか（デフォルト：False） | BOOLEAN | いいえ | True/False | +| `スケール係数` | モデルに適用するスケール係数（デフォルト：1.0） | FLOAT | いいえ | 0.0 以上 | +| `アニメーション付き` | エクスポートにアニメーションデータを含めるかどうか（デフォルト：False） | BOOLEAN | いいえ | True/False | +| `UVパック` | UV 座標をパックするかどうか（デフォルト：False） | BOOLEAN | いいえ | True/False | +| `ベイク` | テクスチャをベイクするかどうか（デフォルト：False） | BOOLEAN | いいえ | True/False | +| `パーツ名` | エクスポートに含めるパーツ名のカンマ区切りリスト（デフォルト：""） | STRING | いいえ | カンマ区切りのリスト | +| `FBXプリセット` | 使用する FBX エクスポートプリセット（デフォルト：blender） | COMBO | いいえ | blender
mixamo
3dsmax | +| `頂点カラーをエクスポート` | 頂点カラーをエクスポートするかどうか（デフォルト：False） | BOOLEAN | いいえ | True/False | +| `エクスポート方向` | エクスポートの向きモード（デフォルト：default） | COMBO | いいえ | align_image
default | +| `その場でアニメーション` | モデルをその場でアニメーションさせるかどうか（デフォルト：False） | BOOLEAN | いいえ | True/False | **注意：** `original_model_task_id` は、以前の Tripo 操作（モデル生成、リギング、またはリターゲティング）の有効なタスク ID である必要があります。「詳細」とマークされたパラメータはオプションであり、特定のエクスポート要件がある場合にのみ設定する必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| *名前付き出力なし* | - | このノードは変換を非同期で処理し、Tripo API システムを通じて結果を返します | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| *名前付き出力なし* | このノードは変換を非同期で処理し、Tripo API システムを通じて結果を返します | - | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoConversionNode/ja.md) --- **Source fingerprint (SHA-256):** `b11ecab98701b7153a350f5e4980ddc2f446c0a12be3402ca98a5e6de60bd7ce` diff --git a/ja/built-in-nodes/TripoImageToModelNode.mdx b/ja/built-in-nodes/TripoImageToModelNode.mdx index d3fc3286a..a382aa16e 100644 --- a/ja/built-in-nodes/TripoImageToModelNode.mdx +++ b/ja/built-in-nodes/TripoImageToModelNode.mdx @@ -5,39 +5,39 @@ sidebarTitle: "TripoImageToModelNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoImageToModelNode/ja.md) - 以下が翻訳結果です。 Tripo の API を使用して、単一の画像から同期的に 3D モデルを生成します。このノードは入力画像を受け取り、テクスチャ、品質、モデルプロパティに関するさまざまなカスタマイズオプションを使用して 3D モデルに変換します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 3D モデルの生成に使用する入力画像 | -| `model_version` | COMBO | いいえ | 複数のオプションあり | 生成に使用する Tripo モデルのバージョン | -| `style` | COMBO | いいえ | 複数のオプションあり | 生成されるモデルのスタイル設定（デフォルト："None"） | -| `texture` | BOOLEAN | いいえ | - | モデルにテクスチャを生成するかどうか（デフォルト：True） | -| `pbr` | BOOLEAN | いいえ | - | 物理ベースレンダリングを使用するかどうか（デフォルト：True） | -| `model_seed` | INT | いいえ | - | モデル生成用のランダムシード（デフォルト：42） | -| `orientation` | COMBO | いいえ | 複数のオプションあり | 生成されるモデルの向き設定 | -| `texture_seed` | INT | いいえ | - | テクスチャ生成用のランダムシード（デフォルト：42） | -| `texture_quality` | COMBO | いいえ | "standard"
"detailed" | テクスチャ生成の品質レベル（デフォルト："standard"） | -| `texture_alignment` | COMBO | いいえ | "original_image"
"geometry" | テクスチャマッピングの位置合わせ方法（デフォルト："original_image"） | -| `face_limit` | INT | いいえ | -1 ～ 500000 | 生成されるモデルの最大面数。-1 は制限なし（デフォルト：-1） | -| `quad` | BOOLEAN | いいえ | - | 三角形ではなく四角形の面を使用するかどうか（デフォルト：False） | -| `ジオメトリ品質` | COMBO | いいえ | "standard"
"detailed" | ジオメトリ生成の品質レベル（デフォルト："standard"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | 3D モデルの生成に使用する入力画像 | IMAGE | はい | - | +| `model_version` | 生成に使用する Tripo モデルのバージョン | COMBO | いいえ | 複数のオプションあり | +| `style` | 生成されるモデルのスタイル設定（デフォルト："None"） | COMBO | いいえ | 複数のオプションあり | +| `texture` | モデルにテクスチャを生成するかどうか（デフォルト：True） | BOOLEAN | いいえ | - | +| `pbr` | 物理ベースレンダリングを使用するかどうか（デフォルト：True） | BOOLEAN | いいえ | - | +| `model_seed` | モデル生成用のランダムシード（デフォルト：42） | INT | いいえ | - | +| `orientation` | 生成されるモデルの向き設定 | COMBO | いいえ | 複数のオプションあり | +| `texture_seed` | テクスチャ生成用のランダムシード（デフォルト：42） | INT | いいえ | - | +| `texture_quality` | テクスチャ生成の品質レベル（デフォルト："standard"） | COMBO | いいえ | "standard"
"detailed" | +| `texture_alignment` | テクスチャマッピングの位置合わせ方法（デフォルト："original_image"） | COMBO | いいえ | "original_image"
"geometry" | +| `face_limit` | 生成されるモデルの最大面数。-1 は制限なし（デフォルト：-1） | INT | いいえ | -1 ～ 500000 | +| `quad` | 三角形ではなく四角形の面を使用するかどうか（デフォルト：False） | BOOLEAN | いいえ | - | +| `ジオメトリ品質` | ジオメトリ生成の品質レベル（デフォルト："standard"） | COMBO | いいえ | "standard"
"detailed" | **注記：** `image` パラメータは必須であり、ノードが機能するためには必ず指定する必要があります。画像が提供されない場合、ノードは RuntimeError を発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデルタスクID` | STRING | 生成された 3D モデルファイル（下位互換性のため） | -| `GLB` | MODEL_TASK_ID | モデル生成プロセスを追跡するためのタスク ID | -| `GLB` | FILE3DGLB | GLB 形式で生成された 3D モデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデルタスクID` | 生成された 3D モデルファイル（下位互換性のため） | STRING | +| `GLB` | モデル生成プロセスを追跡するためのタスク ID | MODEL_TASK_ID | +| `GLB` | GLB 形式で生成された 3D モデル | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoImageToModelNode/ja.md) --- **Source fingerprint (SHA-256):** `1342de2f9788fac504fa0cfa248d011c04a8874307bb26dac86a7ced43a2809e` diff --git a/ja/built-in-nodes/TripoMultiviewToModelNode.mdx b/ja/built-in-nodes/TripoMultiviewToModelNode.mdx index 9626ce7c1..d492533f6 100644 --- a/ja/built-in-nodes/TripoMultiviewToModelNode.mdx +++ b/ja/built-in-nodes/TripoMultiviewToModelNode.mdx @@ -5,39 +5,39 @@ sidebarTitle: "TripoMultiviewToModelNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/ja.md) - このノードは、TripoのAPIを使用して、オブジェクトの異なるビューを示す最大4つの画像を処理し、3Dモデルを同期的に生成します。テクスチャとマテリアルオプションを備えた完全な3Dモデルを作成するには、正面画像と少なくとも1つの追加ビュー（左、背面、または右）が必要です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | オブジェクトの正面画像（必須） | -| `image_left` | IMAGE | いいえ | - | オブジェクトの左側画像 | -| `image_back` | IMAGE | いいえ | - | オブジェクトの背面画像 | -| `image_right` | IMAGE | いいえ | - | オブジェクトの右側画像 | -| `model_version` | COMBO | いいえ | 複数のオプションあり | 生成に使用するモデルバージョン | -| `orientation` | COMBO | いいえ | 複数のオプションあり | 3Dモデルの向き設定（デフォルト："default"） | -| `texture` | BOOLEAN | いいえ | - | モデルにテクスチャを生成するかどうか（デフォルト：True） | -| `pbr` | BOOLEAN | いいえ | - | PBR（物理ベースレンダリング）マテリアルを生成するかどうか（デフォルト：True） | -| `model_seed` | INT | いいえ | - | モデル生成のランダムシード（デフォルト：42） | -| `texture_seed` | INT | いいえ | - | テクスチャ生成のランダムシード（デフォルト：42） | -| `texture_quality` | COMBO | いいえ | `"standard"`
`"detailed"` | テクスチャ生成の品質レベル（デフォルト："standard"） | -| `texture_alignment` | COMBO | いいえ | `"original_image"`
`"geometry"` | テクスチャをモデルに合わせる方法（デフォルト："original_image"） | -| `face_limit` | INT | いいえ | -1 ～ 500000 | 生成モデルの最大面数。-1を設定すると制限なし（デフォルト：-1） | -| `quad` | BOOLEAN | いいえ | - | このパラメータは非推奨であり、何も行いません（デフォルト：False） | -| `ジオメトリ品質` | COMBO | いいえ | `"standard"`
`"detailed"` | ジオメトリ生成の品質レベル（デフォルト："standard"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `image` | オブジェクトの正面画像（必須） | IMAGE | はい | - | +| `image_left` | オブジェクトの左側画像 | IMAGE | いいえ | - | +| `image_back` | オブジェクトの背面画像 | IMAGE | いいえ | - | +| `image_right` | オブジェクトの右側画像 | IMAGE | いいえ | - | +| `model_version` | 生成に使用するモデルバージョン | COMBO | いいえ | 複数のオプションあり | +| `orientation` | 3Dモデルの向き設定（デフォルト："default"） | COMBO | いいえ | 複数のオプションあり | +| `texture` | モデルにテクスチャを生成するかどうか（デフォルト：True） | BOOLEAN | いいえ | - | +| `pbr` | PBR（物理ベースレンダリング）マテリアルを生成するかどうか（デフォルト：True） | BOOLEAN | いいえ | - | +| `model_seed` | モデル生成のランダムシード（デフォルト：42） | INT | いいえ | - | +| `texture_seed` | テクスチャ生成のランダムシード（デフォルト：42） | INT | いいえ | - | +| `texture_quality` | テクスチャ生成の品質レベル（デフォルト："standard"） | COMBO | いいえ | `"standard"`
`"detailed"` | +| `texture_alignment` | テクスチャをモデルに合わせる方法（デフォルト："original_image"） | COMBO | いいえ | `"original_image"`
`"geometry"` | +| `face_limit` | 生成モデルの最大面数。-1を設定すると制限なし（デフォルト：-1） | INT | いいえ | -1 ～ 500000 | +| `quad` | このパラメータは非推奨であり、何も行いません（デフォルト：False） | BOOLEAN | いいえ | - | +| `ジオメトリ品質` | ジオメトリ生成の品質レベル（デフォルト："standard"） | COMBO | いいえ | `"standard"`
`"detailed"` | **注記：** 正面画像（`image`）は常に必須です。マルチビュー処理のためには、少なくとも1つの追加ビュー画像（`image_left`、`image_back`、または`image_right`）を提供する必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデルタスクID` | STRING | 生成された3Dモデルのファイルパスまたは識別子（下位互換性のため） | -| `GLB` | MODEL_TASK_ID | モデル生成プロセスを追跡するためのタスク識別子 | -| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデルファイル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデルタスクID` | 生成された3Dモデルのファイルパスまたは識別子（下位互換性のため） | STRING | +| `GLB` | モデル生成プロセスを追跡するためのタスク識別子 | MODEL_TASK_ID | +| `GLB` | GLB形式で生成された3Dモデルファイル | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/ja.md) --- **Source fingerprint (SHA-256):** `4ad433f4a0060d0ac2ce14463497db3168a1bf3348f17b98e958409e9a63baaf` diff --git a/ja/built-in-nodes/TripoP1ImageToModelNode.mdx b/ja/built-in-nodes/TripoP1ImageToModelNode.mdx index 78a957ef8..798cc6ce7 100644 --- a/ja/built-in-nodes/TripoP1ImageToModelNode.mdx +++ b/ja/built-in-nodes/TripoP1ImageToModelNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "TripoP1ImageToModelNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1ImageToModelNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,24 +13,26 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 3Dモデルに変換する入力画像です。 | -| `output_mode` | DICT | はい | 説明を参照 | 出力モードと品質設定を指定する辞書です。このパラメータは、生成されるモデルの種類とテクスチャ品質を制御します。利用可能なオプションは、`_build_p1_output_mode` ヘルパー関数によって定義され、`texture_quality`（例："standard"、"high"、"ultra"）や `image_alignment` の設定が含まれます。 | -| `enable_image_autofix` | BOOLEAN | いいえ | True
False | 生成品質を向上させるため、入力画像を前処理します。（デフォルト：False） | -| `face_limit` | INT | いいえ | - | 生成されるメッシュの面の数を制限します。-1 を指定すると制限なしになります。（デフォルト：-1） | -| `model_seed` | INT | いいえ | - | 再現可能なモデル生成のためのシード値です。指定しない場合はランダムなシードが使用されます。（デフォルト：None） | -| `auto_size` | BOOLEAN | いいえ | True
False | 生成されるモデルの最適なサイズを自動的に決定します。（デフォルト：False） | -| `export_uv` | BOOLEAN | いいえ | True
False | モデルとともにUV座標をエクスポートします。（デフォルト：True） | -| `compress_geometry` | BOOLEAN | いいえ | True
False | ジオメトリデータを圧縮してファイルサイズを削減します。（デフォルト：False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 3Dモデルに変換する入力画像です。 | IMAGE | はい | - | +| `出力モード` | 出力モードと品質設定を指定する辞書です。このパラメータは、生成されるモデルの種類とテクスチャ品質を制御します。利用可能なオプションは、`_build_p1_output_mode` ヘルパー関数によって定義され、`texture_quality`（例："standard"、"high"、"ultra"）や `image_alignment` の設定が含まれます。 | DICT | はい | 説明を参照 | +| `画像自動補正を有効化` | 生成品質を向上させるため、入力画像を前処理します。（デフォルト：False） | BOOLEAN | いいえ | True
False | +| `面数制限` | 生成されるメッシュの面の数を制限します。-1 を指定すると制限なしになります。（デフォルト：-1） | INT | いいえ | - | +| `モデルシード` | 再現可能なモデル生成のためのシード値です。指定しない場合はランダムなシードが使用されます。（デフォルト：None） | INT | いいえ | - | +| `自動サイズ調整` | 生成されるモデルの最適なサイズを自動的に決定します。（デフォルト：False） | BOOLEAN | いいえ | True
False | +| `UV展開を出力` | モデルとともにUV座標をエクスポートします。（デフォルト：True） | BOOLEAN | いいえ | True
False | +| `ジオメトリ圧縮` | ジオメトリデータを圧縮してファイルサイズを削減します。（デフォルト：False） | BOOLEAN | いいえ | True
False | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model_file` | STRING | 生成された3Dモデルのファイルパスです。この出力は後方互換性のためにのみ提供されています。 | -| `model task_id` | MODEL_TASK_ID | モデル生成リクエストの一意のタスクIDです。 | -| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデルタスクID` | 生成された3Dモデルのファイルパスです。この出力は後方互換性のためにのみ提供されています。 | STRING | +| `GLB` | モデル生成リクエストの一意のタスクIDです。 | MODEL_TASK_ID | +| `GLB` | GLB形式で生成された3Dモデルです。 | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1ImageToModelNode/ja.md) --- **Source fingerprint (SHA-256):** `2ac611603dd6eb88700a8105c19f97a8c4eefe5f4efb23d8854ccc27af590626` diff --git a/ja/built-in-nodes/TripoP1MultiviewToModelNode.mdx b/ja/built-in-nodes/TripoP1MultiviewToModelNode.mdx index a3728bca3..6aac148eb 100644 --- a/ja/built-in-nodes/TripoP1MultiviewToModelNode.mdx +++ b/ja/built-in-nodes/TripoP1MultiviewToModelNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "TripoP1MultiviewToModelNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1MultiviewToModelNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,28 +13,30 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 正面図（0°）。必須です。 | -| `image_left` | IMAGE | いいえ | - | 左側面図（90°）、つまり被写体の左側です。 | -| `image_back` | IMAGE | いいえ | - | 背面図（180°）。 | -| `image_right` | IMAGE | いいえ | - | 右側面図（270°）、つまり被写体の右側です。 | -| `output_mode` | COMBO | はい | `"geometry"`
`"textured"`
`"detailed"` | 生成されるモデルの出力モードです。`"geometry"`は生のメッシュを生成し、`"textured"`は標準テクスチャを追加し、`"detailed"`は高精細なテクスチャ付きモデルを作成します（デフォルト: `"textured"`）。 | -| `face_limit` | INT | いいえ | -1 ～ 100000 | 出力メッシュの最大面数です。-1に設定すると制限なしになります（デフォルト: -1）。 | -| `model_seed` | INT | いいえ | 0 ～ 2147483647 | 再現可能なモデル生成のためのシード値です。0に設定するとランダムになります（デフォルト: 0）。 | -| `auto_size` | BOOLEAN | いいえ | True / False | モデルを標準的なバウンディングボックス内に収まるように自動的にサイズ調整します（デフォルト: False）。 | -| `export_uv` | BOOLEAN | いいえ | True / False | モデルとともにUV座標をエクスポートします（デフォルト: True）。 | -| `compress_geometry` | BOOLEAN | いいえ | True / False | ジオメトリデータを圧縮してファイルサイズを削減します（デフォルト: False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 正面図（0°）。必須です。 | IMAGE | はい | - | +| `左側画像` | 左側面図（90°）、つまり被写体の左側です。 | IMAGE | いいえ | - | +| `背面画像` | 背面図（180°）。 | IMAGE | いいえ | - | +| `右側画像` | 右側面図（270°）、つまり被写体の右側です。 | IMAGE | いいえ | - | +| `出力モード` | 生成されるモデルの出力モードです。`"geometry"`は生のメッシュを生成し、`"textured"`は標準テクスチャを追加し、`"detailed"`は高精細なテクスチャ付きモデルを作成します（デフォルト: `"textured"`）。 | COMBO | はい | `"geometry"`
`"textured"`
`"detailed"` | +| `面数制限` | 出力メッシュの最大面数です。-1に設定すると制限なしになります（デフォルト: -1）。 | INT | いいえ | -1 ～ 100000 | +| `モデルシード` | 再現可能なモデル生成のためのシード値です。0に設定するとランダムになります（デフォルト: 0）。 | INT | いいえ | 0 ～ 2147483647 | +| `自動サイズ調整` | モデルを標準的なバウンディングボックス内に収まるように自動的にサイズ調整します（デフォルト: False）。 | BOOLEAN | いいえ | True / False | +| `UV展開を出力` | モデルとともにUV座標をエクスポートします（デフォルト: True）。 | BOOLEAN | いいえ | True / False | +| `ジオメトリ圧縮` | ジオメトリデータを圧縮してファイルサイズを削減します（デフォルト: False）。 | BOOLEAN | いいえ | True / False | **注記:** 少なくとも2枚の画像を提供する必要があります。正面図（`image`）に加えて、他のビュー（`image_left`、`image_back`、または`image_right`）のうち少なくとも1つが必要です。2枚未満の画像が提供された場合、ノードはエラーを発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model_file` | STRING | 生成されたGLBモデルのファイル名です（後方互換性のため）。 | -| `model_task_id` | MODEL_TASK_ID | このモデル生成リクエストの一意のタスクIDです。 | -| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデルタスクID` | 生成されたGLBモデルのファイル名です（後方互換性のため）。 | STRING | +| `GLB` | このモデル生成リクエストの一意のタスクIDです。 | MODEL_TASK_ID | +| `GLB` | GLB形式で生成された3Dモデルです。 | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1MultiviewToModelNode/ja.md) --- **Source fingerprint (SHA-256):** `29bb87cdc5d3eef891a653c622e8876a37d6e6dc1a43e5c248b184060ead9029` diff --git a/ja/built-in-nodes/TripoP1TextToModelNode.mdx b/ja/built-in-nodes/TripoP1TextToModelNode.mdx index 9ce19a0dd..96089b641 100644 --- a/ja/built-in-nodes/TripoP1TextToModelNode.mdx +++ b/ja/built-in-nodes/TripoP1TextToModelNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "TripoP1TextToModelNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1TextToModelNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,25 +13,27 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | 最大1024文字 | 生成したい3Dモデルのテキストによる説明。 | -| `negative_prompt` | STRING | いいえ | 最大255文字 | 生成モデルに含めたくない内容のテキスト説明。 | -| `output_mode` | DICT | はい | 説明を参照 | 出力モデルの品質とテクスチャ設定を制御します。このパラメータは以下のキーを持つ辞書です：

`texture_quality`: STRING、範囲：`"standard"`
`pbr`: BOOLEAN、デフォルト：True
`texture`: BOOLEAN、デフォルト：True
`subdivision`: INT、デフォルト：0、範囲：0～2
`texture_size`: INT、デフォルト：2048、範囲：512～4096（2の累乗である必要があります）
`texture_format`: STRING、範囲：`"png"`
`texture_clean`: BOOLEAN、デフォルト：False
`texture_seamless`: BOOLEAN、デフォルト：False

デフォルト：`{"texture_quality": "standard", "pbr": True, "texture": True, "subdivision": 0, "texture_size": 2048, "texture_format": "png", "texture_clean": False, "texture_seamless": False}` | -| `image_seed` | INT | いいえ | | 画像生成のためのシード値で、ランダム性を制御するために使用します。デフォルト：42。 | -| `face_limit` | INT | いいえ | | 生成メッシュの最大面数。値が-1の場合は制限なし。デフォルト：-1。 | -| `model_seed` | INT | いいえ | | モデル生成のためのシード値で、ランダム性を制御するために使用します。 | -| `auto_size` | BOOLEAN | いいえ | | 有効にすると、ノードが最適なモデルサイズを自動的に決定します。デフォルト：False。 | -| `export_uv` | BOOLEAN | いいえ | | 有効にすると、モデルにテクスチャマッピング用のUV座標が含まれます。デフォルト：True。 | -| `compress_geometry` | BOOLEAN | いいえ | | 有効にすると、ファイルサイズを削減するためにジオメトリが圧縮されます。デフォルト：False。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 生成したい3Dモデルのテキストによる説明。 | STRING | はい | 最大1024文字 | +| `ネガティブプロンプト` | 生成モデルに含めたくない内容のテキスト説明。 | STRING | いいえ | 最大255文字 | +| `出力モード` | 出力モデルの品質とテクスチャ設定を制御します。このパラメータは以下のキーを持つ辞書です：

`texture_quality`: STRING、範囲：`"standard"`
`pbr`: BOOLEAN、デフォルト：True
`texture`: BOOLEAN、デフォルト：True
`subdivision`: INT、デフォルト：0、範囲：0～2
`texture_size`: INT、デフォルト：2048、範囲：512～4096（2の累乗である必要があります）
`texture_format`: STRING、範囲：`"png"`
`texture_clean`: BOOLEAN、デフォルト：False
`texture_seamless`: BOOLEAN、デフォルト：False

デフォルト：`{"texture_quality": "standard", "pbr": True, "texture": True, "subdivision": 0, "texture_size": 2048, "texture_format": "png", "texture_clean": False, "texture_seamless": False}` | DICT | はい | 説明を参照 | +| `画像シード` | 画像生成のためのシード値で、ランダム性を制御するために使用します。デフォルト：42。 | INT | いいえ | | +| `面数制限` | 生成メッシュの最大面数。値が-1の場合は制限なし。デフォルト：-1。 | INT | いいえ | | +| `モデルシード` | モデル生成のためのシード値で、ランダム性を制御するために使用します。 | INT | いいえ | | +| `自動サイズ調整` | 有効にすると、ノードが最適なモデルサイズを自動的に決定します。デフォルト：False。 | BOOLEAN | いいえ | | +| `UVエクスポート` | 有効にすると、モデルにテクスチャマッピング用のUV座標が含まれます。デフォルト：True。 | BOOLEAN | いいえ | | +| `ジオメトリ圧縮` | 有効にすると、ファイルサイズを削減するためにジオメトリが圧縮されます。デフォルト：False。 | BOOLEAN | いいえ | | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model_file` | STRING | 生成された3Dモデルのファイルパス（後方互換性のため）。 | -| `model task_id` | MODEL_TASK_ID | モデル生成リクエストの一意のタスクID。 | -| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデルタスクID` | 生成された3Dモデルのファイルパス（後方互換性のため）。 | STRING | +| `GLB` | モデル生成リクエストの一意のタスクID。 | MODEL_TASK_ID | +| `GLB` | GLB形式で生成された3Dモデル。 | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1TextToModelNode/ja.md) --- **Source fingerprint (SHA-256):** `154e75209d65c823d5681b74cd12fe7b2ed37d7b94bf51cac86f343c68f85722` diff --git a/ja/built-in-nodes/TripoRefineNode.mdx b/ja/built-in-nodes/TripoRefineNode.mdx index b5fb757f8..269139101 100644 --- a/ja/built-in-nodes/TripoRefineNode.mdx +++ b/ja/built-in-nodes/TripoRefineNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "TripoRefineNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/ja.md) - TripoRefineNodeは、特にTripo v1.4モデルによって作成されたドラフト3Dモデルを精緻化します。モデルタスクIDを受け取り、Tripo APIを通じて処理し、改良版のモデルを生成します。このノードは、Tripo v1.4モデルが生成したドラフトモデルでのみ動作するように設計されています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_task_id` | MODEL_TASK_ID | はい | - | v1.4 Tripoモデルである必要があります | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_task_id` | v1.4 Tripoモデルである必要があります | MODEL_TASK_ID | はい | - | **注意:** このノードは、Tripo v1.4モデルによって作成されたドラフトモデルのみを受け付けます。他のバージョンのモデルを使用するとエラーが発生する可能性があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデルタスクID` | STRING | 精緻化されたモデルのファイルパスまたは参照（後方互換性のため） | -| `GLB` | MODEL_TASK_ID | 精緻化されたモデル操作のタスク識別子 | -| `GLB` | FILE3DGLB | GLB形式の精緻化された3Dモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデルタスクID` | 精緻化されたモデルのファイルパスまたは参照（後方互換性のため） | STRING | +| `GLB` | 精緻化されたモデル操作のタスク識別子 | MODEL_TASK_ID | +| `GLB` | GLB形式の精緻化された3Dモデル | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/ja.md) --- **Source fingerprint (SHA-256):** `136093c7cdd7eb33b55e862f4b8c0554de7bde656a7e0139efb63323ad041c32` diff --git a/ja/built-in-nodes/TripoRetargetNode.mdx b/ja/built-in-nodes/TripoRetargetNode.mdx index 32d63f09d..d65fad813 100644 --- a/ja/built-in-nodes/TripoRetargetNode.mdx +++ b/ja/built-in-nodes/TripoRetargetNode.mdx @@ -5,29 +5,29 @@ sidebarTitle: "TripoRetargetNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRetargetNode/ja.md) - 以下が翻訳結果です。 TripoRetargetNodeは、モーションデータのリターゲティングにより、3Dキャラクターモデルに定義済みアニメーションを適用します。このノードは、事前にリギングされた3Dモデルを受け取り、いくつかのプリセットアニメーションのうち1つを適用して、アニメーション化された3Dモデルファイルを出力として生成します。このノードはTripo APIと通信して、アニメーションリターゲティング操作を処理します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `original_model_task_id` | RIG_TASK_ID | はい | - | アニメーションを適用する、事前に処理されたリギング済み3DモデルのタスクID | -| `animation` | STRING | はい | "preset:idle"
"preset:walk"
"preset:run"
"preset:dive"
"preset:climb"
"preset:jump"
"preset:slash"
"preset:shoot"
"preset:hurt"
"preset:fall"
"preset:turn"
"preset:quadruped:walk"
"preset:hexapod:walk"
"preset:octopod:walk"
"preset:serpentine:march"
"preset:aquatic:march" | 3Dモデルに適用するアニメーションプリセット。オプションには、人型アニメーション（待機、歩行、走行、潜水、登攀、ジャンプ、斬撃、射撃、被ダメージ、落下、旋回）とクリーチャーアニメーション（四足歩行、六足歩行、八足歩行、蛇行移動、水生移動）が含まれます。 | -| `auth_token_comfy_org` | AUTH_TOKEN_COMFY_ORG | いいえ | - | Comfy.org APIアクセス用の認証トークン（非表示パラメータ） | -| `api_key_comfy_org` | API_KEY_COMFY_ORG | いいえ | - | Comfy.orgサービスアクセス用のAPIキー（非表示パラメータ） | -| `unique_id` | UNIQUE_ID | いいえ | - | 操作を追跡するための一意識別子（非表示パラメータ） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `original_model_task_id` | アニメーションを適用する、事前に処理されたリギング済み3DモデルのタスクID | RIG_TASK_ID | はい | - | +| `animation` | 3Dモデルに適用するアニメーションプリセット。オプションには、人型アニメーション（待機、歩行、走行、潜水、登攀、ジャンプ、斬撃、射撃、被ダメージ、落下、旋回）とクリーチャーアニメーション（四足歩行、六足歩行、八足歩行、蛇行移動、水生移動）が含まれます。 | STRING | はい | "preset:idle"
"preset:walk"
"preset:run"
"preset:dive"
"preset:climb"
"preset:jump"
"preset:slash"
"preset:shoot"
"preset:hurt"
"preset:fall"
"preset:turn"
"preset:quadruped:walk"
"preset:hexapod:walk"
"preset:octopod:walk"
"preset:serpentine:march"
"preset:aquatic:march" | +| `auth_token_comfy_org` | Comfy.org APIアクセス用の認証トークン（非表示パラメータ） | AUTH_TOKEN_COMFY_ORG | いいえ | - | +| `api_key_comfy_org` | Comfy.orgサービスアクセス用のAPIキー（非表示パラメータ） | API_KEY_COMFY_ORG | いいえ | - | +| `unique_id` | 操作を追跡するための一意識別子（非表示パラメータ） | UNIQUE_ID | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `リターゲット タスクID` | STRING | 生成されたアニメーション化3Dモデルファイル（下位互換性のため） | -| `GLB` | RETARGET_TASK_ID | リターゲティング操作を追跡するためのタスクID | -| `GLB` | FILE3DGLB | GLB形式のアニメーション化3Dモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `リターゲット タスクID` | 生成されたアニメーション化3Dモデルファイル（下位互換性のため） | STRING | +| `GLB` | リターゲティング操作を追跡するためのタスクID | RETARGET_TASK_ID | +| `GLB` | GLB形式のアニメーション化3Dモデル | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRetargetNode/ja.md) --- **Source fingerprint (SHA-256):** `304326afdc1fa3e8c3593f151f771f93520e061802c831838c58ebc401b9e9e2` diff --git a/ja/built-in-nodes/TripoRigNode.mdx b/ja/built-in-nodes/TripoRigNode.mdx index 4ee4e7944..d93bb823c 100644 --- a/ja/built-in-nodes/TripoRigNode.mdx +++ b/ja/built-in-nodes/TripoRigNode.mdx @@ -5,28 +5,28 @@ sidebarTitle: "TripoRigNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRigNode/ja.md) - 以下が翻訳結果です。 TripoRigNodeは、元のモデルのタスクIDからリギング済み3Dモデルを生成します。Tripo APIにリクエストを送信し、Tripo仕様に従ってGLB形式のアニメーションリグを作成した後、リグ生成タスクが完了するまでAPIをポーリングします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `original_model_task_id` | MODEL_TASK_ID | はい | - | リギング対象の元の3DモデルのタスクID | -| `auth_token` | AUTH_TOKEN_COMFY_ORG | いいえ | - | Comfy.org APIアクセス用の認証トークン | -| `comfy_api_key` | API_KEY_COMFY_ORG | いいえ | - | Comfy.orgサービス認証用のAPIキー | -| `unique_id` | UNIQUE_ID | いいえ | - | 操作を追跡するための一意の識別子 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `original_model_task_id` | リギング対象の元の3DモデルのタスクID | MODEL_TASK_ID | はい | - | +| `auth_token` | Comfy.org APIアクセス用の認証トークン | AUTH_TOKEN_COMFY_ORG | いいえ | - | +| `comfy_api_key` | Comfy.orgサービス認証用のAPIキー | API_KEY_COMFY_ORG | いいえ | - | +| `unique_id` | 操作を追跡するための一意の識別子 | UNIQUE_ID | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `リグタスクID` | STRING | 生成されたリギング済み3Dモデルファイル（後方互換性のために保持） | -| `GLB` | RIG_TASK_ID | リグ生成プロセスを追跡するためのタスクID | -| `GLB` | FILE3DGLB | GLB形式で生成されたリギング済み3Dモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `リグタスクID` | 生成されたリギング済み3Dモデルファイル（後方互換性のために保持） | STRING | +| `GLB` | リグ生成プロセスを追跡するためのタスクID | RIG_TASK_ID | +| `GLB` | GLB形式で生成されたリギング済み3Dモデル | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRigNode/ja.md) --- **Source fingerprint (SHA-256):** `621a4d08f3b8a349c3afff3dbf888b20d524eb3337685769b7a7badcb28986e4` diff --git a/ja/built-in-nodes/TripoSplatConditioning.mdx b/ja/built-in-nodes/TripoSplatConditioning.mdx new file mode 100644 index 000000000..39964bc39 --- /dev/null +++ b/ja/built-in-nodes/TripoSplatConditioning.mdx @@ -0,0 +1,31 @@ +--- +title: "TripoSplatConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoSplatConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoSplatConditioning" +icon: "circle" +mode: wide +--- +# TripoSplat Conditioning（コンディショニング） + +このノードは、DINOv3とFlux2 VAEを使用して入力画像をエンコードし、TripoSplatモデル用のポジティブおよびネガティブなコンディショニングデータを作成します。また、KSamplerの開始点となる固定サイズのノイズターゲット（潜在変数とカメラデータ）も生成します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `clip_vision` | DINOv3 ViT-H/16+ 画像エンコーダー | CLIP_VISION | はい | - | +| `vae` | Flux2 VAE | VAE | はい | - | +| `画像` | エンコードする入力画像 | IMAGE | はい | - | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `ネガティブ` | DINOv3特徴量とFlux2 VAE潜在変数を含むポジティブコンディショニングデータ | CONDITIONING | +| `latent` | ゼロ埋めされたDINOv3特徴量とゼロ埋めされたFlux2 VAE潜在変数を含むネガティブコンディショニングデータ | CONDITIONING | +| `latent` | KSampler用の固定サイズノイズターゲット（潜在変数シーケンスとカメラトークン） | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoSplatConditioning/ja.md) + +--- +**Source fingerprint (SHA-256):** `9187a4a020818b9adc762eb41e913086b59d62c47abe92d4bafdb14bc8779f51` diff --git a/ja/built-in-nodes/TripoSplatPreprocessImage.mdx b/ja/built-in-nodes/TripoSplatPreprocessImage.mdx new file mode 100644 index 000000000..01844af06 --- /dev/null +++ b/ja/built-in-nodes/TripoSplatPreprocessImage.mdx @@ -0,0 +1,32 @@ +--- +title: "TripoSplatPreprocessImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoSplatPreprocessImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoSplatPreprocessImage" +icon: "circle" +mode: wide +--- +# TripoSplat 画像前処理ノード + +このノードは、各入力画像を黒背景の中央正方形にクロップし、指定された出力サイズに達するようにパディングを追加します。TripoSplat 3Dモデル用に画像を準備するために設計されており、一貫した正方形フレーミングと、境界アーティファクトを防ぐためのオプションのアルファマット収縮を保証します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `image` | 前処理する入力画像 | IMAGE | はい | - | +| `mask` | 画像のアルファマスク。クロップ領域の決定に使用します | MASK | はい | - | +| `erode_radius` | クロップ前にアルファマットをこのピクセル半径で収縮します（境界にじみを防止）。デフォルト：1 | INT | はい | 0～16 | +| `size` | 正方形画像のサイズ。モデルは1024でトレーニングされています。他のサイズでも動作しますが、分布から外れます。デフォルト：1024 | INT | はい | 256～4096（16刻み） | + +**注意：** `mask` 入力は必須であり、指定する必要があります。マスクのバッチサイズが画像と異なる場合、自動的に繰り返されて一致します。マスクの寸法が画像の寸法と異なる場合、マスクはバイリニア補間を使用して画像に合わせてリサイズされます。 + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `image` | 黒背景の中央正方形にクロップされ、パディングが追加された前処理済み画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoSplatPreprocessImage/ja.md) + +--- +**Source fingerprint (SHA-256):** `3f33dbc3a99ccb23ede767915a28fabdfa388edb8d5782edea3f8d03e5965b2a` diff --git a/ja/built-in-nodes/TripoSplatSamplingPreview.mdx b/ja/built-in-nodes/TripoSplatSamplingPreview.mdx new file mode 100644 index 000000000..f9249878b --- /dev/null +++ b/ja/built-in-nodes/TripoSplatSamplingPreview.mdx @@ -0,0 +1,33 @@ +--- +title: "TripoSplatSamplingPreview - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoSplatSamplingPreview node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoSplatSamplingPreview" +icon: "circle" +mode: wide +--- +# TripoSplat サンプリングプレビュー + +このノードはTripoSplatモデルをパッチ処理し、標準のKSamplerノードで使用した際に、各サンプリングステップでデコードされたガウシアンスプラットのライブプレビューを表示します。サンプラーのコールバックをラップして、各ステップ後にモデルの出力をプレビュー画像にデコードすることで機能します。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `model` | ライブプレビュー用にパッチするTripoSplatモデル | MODEL | はい | | +| `vae` | TripoSplat VAEデコーダー | VAE | はい | | +| `octree_level` | プレビューデコード用のオクツリー深度（低いほど軽量/粗くなります）。デフォルト：5 | INT | いいえ | 2～8 | +| `num_gaussians` | プレビュー用に生成するガウシアン数（32の倍数に丸められます）。デフォルト：16384 | INT | いいえ | 1024～262144（ステップ：32） | +| `yaw` | プレビューカメラのヨー角（度単位）。デフォルト：90.0 | FLOAT | いいえ | -360.0～360.0（ステップ：1.0） | +| `pitch` | プレビューカメラのピッチ角（度単位）。デフォルト：15.0 | FLOAT | いいえ | -89.0～89.0（ステップ：1.0） | +| `point_size` | スプラットの最大半径（ピクセル単位）。各ガウシアンはスケールからサイズが決められ、この値で上限が設定されます。低いほど細かく/点状に、高いほど塊状になります。デフォルト：3 | INT | いいえ | 1～16 | + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `MODEL` | ライブプレビュー機能が追加されたパッチ済みTripoSplatモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoSplatSamplingPreview/ja.md) + +--- +**Source fingerprint (SHA-256):** `56d5eeb5255b42d90f8cffd50319791fe6ec755c6dad47478fe8cc2e9bb65dfb` diff --git a/ja/built-in-nodes/TripoTextToModelNode.mdx b/ja/built-in-nodes/TripoTextToModelNode.mdx index 543bf711a..f84dafee3 100644 --- a/ja/built-in-nodes/TripoTextToModelNode.mdx +++ b/ja/built-in-nodes/TripoTextToModelNode.mdx @@ -5,37 +5,37 @@ sidebarTitle: "TripoTextToModelNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextToModelNode/ja.md) - TripoのAPIを使用して、テキストプロンプトに基づいて3Dモデルを同期的に生成します。このノードは、テキストの説明を受け取り、オプションのテクスチャとマテリアルプロパティを備えた3Dモデルを作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 3Dモデルを生成するためのテキスト説明（複数行入力） | -| `negative_prompt` | STRING | いいえ | - | 生成されるモデルで避けるべき内容のテキスト説明（複数行入力） | -| `model_version` | COMBO | いいえ | 複数のオプションあり | 生成に使用するTripoモデルのバージョン（デフォルト: v2.5-20250123） | -| `style` | COMBO | いいえ | 複数のオプションあり | 生成されるモデルのスタイル設定（デフォルト: "None"） | -| `texture` | BOOLEAN | いいえ | - | モデルにテクスチャを生成するかどうか（デフォルト: True） | -| `pbr` | BOOLEAN | いいえ | - | PBR（物理ベースレンダリング）マテリアルを生成するかどうか（デフォルト: True） | -| `image_seed` | INT | いいえ | - | 画像生成用のランダムシード（デフォルト: 42） | -| `model_seed` | INT | いいえ | - | モデル生成用のランダムシード（デフォルト: 42） | -| `texture_seed` | INT | いいえ | - | テクスチャ生成用のランダムシード（デフォルト: 42） | -| `texture_quality` | COMBO | いいえ | "standard"
"detailed" | テクスチャ生成の品質レベル（デフォルト: "standard"） | -| `face_limit` | INT | いいえ | -1 ～ 2000000 | 生成されるモデルの最大面数、-1は制限なし（デフォルト: -1） | -| `quad` | BOOLEAN | いいえ | - | 三角形ではなく四角形ベースのジオメトリを生成するかどうか（デフォルト: False） | -| `ジオメトリ品質` | COMBO | いいえ | "standard"
"detailed" | ジオメトリ生成の品質レベル（デフォルト: "standard"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | 3Dモデルを生成するためのテキスト説明（複数行入力） | STRING | はい | - | +| `negative_prompt` | 生成されるモデルで避けるべき内容のテキスト説明（複数行入力） | STRING | いいえ | - | +| `model_version` | 生成に使用するTripoモデルのバージョン（デフォルト: v2.5-20250123） | COMBO | いいえ | 複数のオプションあり | +| `style` | 生成されるモデルのスタイル設定（デフォルト: "None"） | COMBO | いいえ | 複数のオプションあり | +| `texture` | モデルにテクスチャを生成するかどうか（デフォルト: True） | BOOLEAN | いいえ | - | +| `pbr` | PBR（物理ベースレンダリング）マテリアルを生成するかどうか（デフォルト: True） | BOOLEAN | いいえ | - | +| `image_seed` | 画像生成用のランダムシード（デフォルト: 42） | INT | いいえ | - | +| `model_seed` | モデル生成用のランダムシード（デフォルト: 42） | INT | いいえ | - | +| `texture_seed` | テクスチャ生成用のランダムシード（デフォルト: 42） | INT | いいえ | - | +| `texture_quality` | テクスチャ生成の品質レベル（デフォルト: "standard"） | COMBO | いいえ | "standard"
"detailed" | +| `face_limit` | 生成されるモデルの最大面数、-1は制限なし（デフォルト: -1） | INT | いいえ | -1 ～ 2000000 | +| `quad` | 三角形ではなく四角形ベースのジオメトリを生成するかどうか（デフォルト: False） | BOOLEAN | いいえ | - | +| `ジオメトリ品質` | ジオメトリ生成の品質レベル（デフォルト: "standard"） | COMBO | いいえ | "standard"
"detailed" | **注意:** `prompt`パラメータは必須であり、空にすることはできません。プロンプトが指定されていない場合、ノードはエラーを発生させます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデルタスクID` | STRING | 生成された3Dモデルファイル（下位互換性のため） | -| `GLB` | MODEL_TASK_ID | モデル生成プロセスの一意のタスク識別子 | -| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデルタスクID` | 生成された3Dモデルファイル（下位互換性のため） | STRING | +| `GLB` | モデル生成プロセスの一意のタスク識別子 | MODEL_TASK_ID | +| `GLB` | GLB形式で生成された3Dモデル | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextToModelNode/ja.md) --- **Source fingerprint (SHA-256):** `f73316e0a50adfb6fe22ca6a20a2a5b36a6597abf0f4ddae9183d9e4a45cb46d` diff --git a/ja/built-in-nodes/TripoTextureNode.mdx b/ja/built-in-nodes/TripoTextureNode.mdx index f574d60e8..c29e3de99 100644 --- a/ja/built-in-nodes/TripoTextureNode.mdx +++ b/ja/built-in-nodes/TripoTextureNode.mdx @@ -5,32 +5,32 @@ sidebarTitle: "TripoTextureNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextureNode/ja.md) - 以下が翻訳結果です。 TripoTextureNodeは、Tripo APIを使用してテクスチャ付きの3Dモデルを生成します。モデルタスクIDを受け取り、PBRマテリアル、テクスチャ品質設定、およびアライメント方法を含むさまざまなオプションでテクスチャ生成を適用します。このノードはTripo APIと通信してテクスチャ生成リクエストを処理し、結果のモデルファイルとタスクIDを返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_task_id` | MODEL_TASK_ID | はい | - | テクスチャを適用するモデルのタスクID | -| `texture` | BOOLEAN | いいえ | - | テクスチャを生成するかどうか（デフォルト：True） | -| `pbr` | BOOLEAN | いいえ | - | PBR（物理ベースレンダリング）マテリアルを生成するかどうか（デフォルト：True） | -| `texture_seed` | INT | いいえ | - | テクスチャ生成のランダムシード（デフォルト：42） | -| `texture_quality` | COMBO | いいえ | "standard"
"detailed" | テクスチャ生成の品質レベル（デフォルト："standard"）。"detailed"オプションは0.20米ドル、"standard"は0.10米ドルです。 | -| `texture_alignment` | COMBO | いいえ | "original_image"
"geometry" | テクスチャのアライメント方法（デフォルト："original_image"）。"original_image"はテクスチャを元の入力画像に合わせ、"geometry"は3Dジオメトリに合わせます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model_task_id` | テクスチャを適用するモデルのタスクID | MODEL_TASK_ID | はい | - | +| `texture` | テクスチャを生成するかどうか（デフォルト：True） | BOOLEAN | いいえ | - | +| `pbr` | PBR（物理ベースレンダリング）マテリアルを生成するかどうか（デフォルト：True） | BOOLEAN | いいえ | - | +| `texture_seed` | テクスチャ生成のランダムシード（デフォルト：42） | INT | いいえ | - | +| `texture_quality` | テクスチャ生成の品質レベル（デフォルト："standard"）。"detailed"オプションは0.20米ドル、"standard"は0.10米ドルです。 | COMBO | いいえ | "standard"
"detailed" | +| `texture_alignment` | テクスチャのアライメント方法（デフォルト："original_image"）。"original_image"はテクスチャを元の入力画像に合わせ、"geometry"は3Dジオメトリに合わせます。 | COMBO | いいえ | "original_image"
"geometry" | *注：このノードは認証トークンとAPIキーを必要としますが、これらはシステムによって自動的に処理されます。* ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデルタスクID` | STRING | テクスチャが適用された生成モデルファイル（後方互換性のため） | -| `GLB` | MODEL_TASK_ID | テクスチャ生成プロセスを追跡するためのタスクID | -| `GLB` | FILE3DGLB | テクスチャが適用されたGLB形式の生成3Dモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデルタスクID` | テクスチャが適用された生成モデルファイル（後方互換性のため） | STRING | +| `GLB` | テクスチャ生成プロセスを追跡するためのタスクID | MODEL_TASK_ID | +| `GLB` | テクスチャが適用されたGLB形式の生成3Dモデル | FILE3DGLB | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextureNode/ja.md) --- **Source fingerprint (SHA-256):** `6d2a6ff7bbbe9fa91f63c6c7d237799044d2f9aa5afe7b90b99cf9e5a21afc32` diff --git a/ja/built-in-nodes/TruncateText.mdx b/ja/built-in-nodes/TruncateText.mdx index 3f3e9c511..aa50d50db 100644 --- a/ja/built-in-nodes/TruncateText.mdx +++ b/ja/built-in-nodes/TruncateText.mdx @@ -5,22 +5,22 @@ sidebarTitle: "TruncateText" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TruncateText/ja.md) - このノードは、指定された最大長でテキストを切り詰めることで短縮します。任意の入力テキストを受け取り、設定した文字数までの最初の部分のみを返します。テキストが特定のサイズを超えないようにするためのシンプルな方法です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `text` | STRING | はい | なし | 切り詰められるテキスト文字列。 | -| `最大長` | INT | はい | 1～10000 | 最大テキスト長。この文字数を超えた部分は切り捨てられます（デフォルト：77）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `text` | 切り詰められるテキスト文字列。 | STRING | はい | なし | +| `最大長` | 最大テキスト長。この文字数を超えた部分は切り捨てられます（デフォルト：77）。 | INT | はい | 1～10000 | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `string` | STRING | 切り詰められたテキスト。入力の最初の`最大長`文字のみを含みます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `string` | 切り詰められたテキスト。入力の最初の`最大長`文字のみを含みます。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TruncateText/ja.md) --- **Source fingerprint (SHA-256):** `271a77a910967c4fd86a07485449679fb8db89f6b3f2bf0a8fa2ff224ea2f7b2` diff --git a/ja/built-in-nodes/UNETLoader.mdx b/ja/built-in-nodes/UNETLoader.mdx index b0b130f8e..34a947a8c 100644 --- a/ja/built-in-nodes/UNETLoader.mdx +++ b/ja/built-in-nodes/UNETLoader.mdx @@ -5,21 +5,21 @@ sidebarTitle: "UNETLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNETLoader/ja.md) - UNETLoaderノードは、U-Netモデルを名前で読み込むために設計されており、システム内で事前学習済みのU-Netアーキテクチャを利用できるようにします。 このノードは、`ComfyUI/models/diffusion_models`フォルダ内にあるモデルを検出します。 ## 入力 -| パラメータ | データ型 | 説明 | -|-------------|--------------|-------------| -| `unet_name` | COMBO[STRING] | 読み込むU-Netモデルの名前を指定します。この名前は、定義済みのディレクトリ構造内でモデルを特定するために使用され、異なるU-Netモデルを動的に読み込むことを可能にします。 | -| `重みdtype` | ... | 🚧 fp8_e4m3fn fp9_e5m2 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `unet_name` | 読み込むU-Netモデルの名前を指定します。この名前は、定義済みのディレクトリ構造内でモデルを特定するために使用され、異なるU-Netモデルを動的に読み込むことを可能にします。 | COMBO[STRING] | +| `重みdtype` | 🚧 fp8_e4m3fn fp9_e5m2 | ... | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `model` | MODEL | 読み込まれたU-Netモデルを返します。これにより、システム内でのさらなる処理や推論に利用できるようになります。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `model` | 読み込まれたU-Netモデルを返します。これにより、システム内でのさらなる処理や推論に利用できるようになります。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNETLoader/ja.md) diff --git a/ja/built-in-nodes/UNetCrossAttentionMultiply.mdx b/ja/built-in-nodes/UNetCrossAttentionMultiply.mdx index 58e1a409d..880832902 100644 --- a/ja/built-in-nodes/UNetCrossAttentionMultiply.mdx +++ b/ja/built-in-nodes/UNetCrossAttentionMultiply.mdx @@ -5,27 +5,27 @@ sidebarTitle: "UNetCrossAttentionMultiply" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetCrossAttentionMultiply/ja.md) - 以下が翻訳結果です。 UNetCrossAttentionMultiply ノードは、UNet モデルのクロスアテンション機構に乗算係数を適用します。クエリ、キー、バリュー、および出力の各コンポーネントをスケーリングすることで、さまざまなアテンション動作や効果を試すことができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | アテンションスケーリング係数を適用する UNet モデル | -| `q` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションにおけるクエリコンポーネントのスケーリング係数（デフォルト: 1.0） | -| `k` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションにおけるキーコンポーネントのスケーリング係数（デフォルト: 1.0） | -| `v` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションにおけるバリューコンポーネントのスケーリング係数（デフォルト: 1.0） | -| `出力` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションにおける出力コンポーネントのスケーリング係数（デフォルト: 1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | アテンションスケーリング係数を適用する UNet モデル | MODEL | はい | - | +| `q` | クロスアテンションにおけるクエリコンポーネントのスケーリング係数（デフォルト: 1.0） | FLOAT | いいえ | 0.0 - 10.0 | +| `k` | クロスアテンションにおけるキーコンポーネントのスケーリング係数（デフォルト: 1.0） | FLOAT | いいえ | 0.0 - 10.0 | +| `v` | クロスアテンションにおけるバリューコンポーネントのスケーリング係数（デフォルト: 1.0） | FLOAT | いいえ | 0.0 - 10.0 | +| `出力` | クロスアテンションにおける出力コンポーネントのスケーリング係数（デフォルト: 1.0） | FLOAT | いいえ | 0.0 - 10.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | クロスアテンションコンポーネントがスケーリングされた変更済み UNet モデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | クロスアテンションコンポーネントがスケーリングされた変更済み UNet モデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetCrossAttentionMultiply/ja.md) --- **Source fingerprint (SHA-256):** `2623858c11e93ab5952194670c9e4ea74bba4e2ea32089540665eea361dc1491` diff --git a/ja/built-in-nodes/UNetSelfAttentionMultiply.mdx b/ja/built-in-nodes/UNetSelfAttentionMultiply.mdx index 7a9f2408e..2f453e43b 100644 --- a/ja/built-in-nodes/UNetSelfAttentionMultiply.mdx +++ b/ja/built-in-nodes/UNetSelfAttentionMultiply.mdx @@ -5,25 +5,25 @@ sidebarTitle: "UNetSelfAttentionMultiply" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetSelfAttentionMultiply/ja.md) - UNetSelfAttentionMultiply ノードは、UNet モデル内のセルフアテンション機構におけるクエリ、キー、バリュー、および出力コンポーネントに乗算係数を適用します。アテンション計算の各部分をスケーリングすることで、アテンションの重みがモデルの動作にどのように影響するかを実験できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | アテンションスケーリング係数を適用するUNetモデル | -| `q` | FLOAT | いいえ | 0.0 - 10.0 | クエリコンポーネントの乗算係数（デフォルト：1.0） | -| `k` | FLOAT | いいえ | 0.0 - 10.0 | キーコンポーネントの乗算係数（デフォルト：1.0） | -| `v` | FLOAT | いいえ | 0.0 - 10.0 | バリューコンポーネントの乗算係数（デフォルト：1.0） | -| `出力` | FLOAT | いいえ | 0.0 - 10.0 | 出力コンポーネントの乗算係数（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | アテンションスケーリング係数を適用するUNetモデル | MODEL | はい | - | +| `q` | クエリコンポーネントの乗算係数（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 10.0 | +| `k` | キーコンポーネントの乗算係数（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 10.0 | +| `v` | バリューコンポーネントの乗算係数（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 10.0 | +| `出力` | 出力コンポーネントの乗算係数（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 10.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MODEL` | MODEL | アテンションコンポーネントがスケーリングされた変更済みUNetモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MODEL` | アテンションコンポーネントがスケーリングされた変更済みUNetモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetSelfAttentionMultiply/ja.md) --- **Source fingerprint (SHA-256):** `ee6328c6cba44d30d2e219a2af04bb3d3d9adeaabb959a46f87b3b299dfe2f43` diff --git a/ja/built-in-nodes/UNetTemporalAttentionMultiply.mdx b/ja/built-in-nodes/UNetTemporalAttentionMultiply.mdx index 013f5eb02..ad7e5cdb2 100644 --- a/ja/built-in-nodes/UNetTemporalAttentionMultiply.mdx +++ b/ja/built-in-nodes/UNetTemporalAttentionMultiply.mdx @@ -5,25 +5,25 @@ sidebarTitle: "UNetTemporalAttentionMultiply" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetTemporalAttentionMultiply/ja.md) - UNetTemporalAttentionMultiplyノードは、時間的UNetモデルにおける異なる種類のアテンションメカニズムに乗算係数を適用します。このノードは、自己アテンションとクロスアテンション層の重みを調整し、構造的要素と時間的要素を区別することでモデルを変更します。これにより、各アテンションタイプがモデルの出力に与える影響の度合いを微調整できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | アテンション乗算係数を適用する対象の入力モデル | -| `自己構造` | FLOAT | いいえ | 0.0 - 10.0 | 自己アテンションの構造的要素に対する乗算係数（デフォルト：1.0） | -| `自己時間` | FLOAT | いいえ | 0.0 - 10.0 | 自己アテンションの時間的要素に対する乗算係数（デフォルト：1.0） | -| `クロス構造` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションの構造的要素に対する乗算係数（デフォルト：1.0） | -| `クロス時間` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションの時間的要素に対する乗算係数（デフォルト：1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | アテンション乗算係数を適用する対象の入力モデル | MODEL | はい | - | +| `自己構造` | 自己アテンションの構造的要素に対する乗算係数（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 10.0 | +| `自己時間` | 自己アテンションの時間的要素に対する乗算係数（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 10.0 | +| `クロス構造` | クロスアテンションの構造的要素に対する乗算係数（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 10.0 | +| `クロス時間` | クロスアテンションの時間的要素に対する乗算係数（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 10.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | アテンション重みが調整された変更後のモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | アテンション重みが調整された変更後のモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetTemporalAttentionMultiply/ja.md) --- **Source fingerprint (SHA-256):** `98d62fb28a0cdf62154ae4e0b672b3a7bcb9ed61186a164a43992263c1f9439a` diff --git a/ja/built-in-nodes/USOStyleReference.mdx b/ja/built-in-nodes/USOStyleReference.mdx index 61c8aabcd..7b80bceaa 100644 --- a/ja/built-in-nodes/USOStyleReference.mdx +++ b/ja/built-in-nodes/USOStyleReference.mdx @@ -5,23 +5,23 @@ sidebarTitle: "USOStyleReference" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/USOStyleReference/ja.md) - USOStyleReference ノードは、CLIPビジョン出力からエンコードされた画像特徴量を使用して、モデルにスタイル参照パッチを適用します。視覚入力から抽出されたスタイル情報を組み込むことで、入力モデルの修正バージョンを作成し、スタイル転送や参照ベースの生成機能を実現します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | スタイル参照パッチを適用するベースモデル | -| `モデルパッチ` | MODEL_PATCH | はい | - | スタイル参照情報を含むモデルパッチ | -| `CLIP Vision出力` | CLIP_VISION_OUTPUT | はい | - | CLIPビジョン処理から抽出されたエンコード済み視覚特徴量 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | スタイル参照パッチを適用するベースモデル | MODEL | はい | - | +| `モデルパッチ` | スタイル参照情報を含むモデルパッチ | MODEL_PATCH | はい | - | +| `CLIP Vision出力` | CLIPビジョン処理から抽出されたエンコード済み視覚特徴量 | CLIP_VISION_OUTPUT | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | スタイル参照パッチが適用された修正済みモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | スタイル参照パッチが適用された修正済みモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/USOStyleReference/ja.md) --- **Source fingerprint (SHA-256):** `fd800fb927677da29e148bfa1b287efed82895860ce4b0241d662579d2c07ff4` diff --git a/ja/built-in-nodes/UpscaleModelLoader.mdx b/ja/built-in-nodes/UpscaleModelLoader.mdx index 0ce903a9a..114dc1388 100644 --- a/ja/built-in-nodes/UpscaleModelLoader.mdx +++ b/ja/built-in-nodes/UpscaleModelLoader.mdx @@ -5,20 +5,20 @@ sidebarTitle: "UpscaleModelLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UpscaleModelLoader/ja.md) - このノードは、`ComfyUI/models/upscale_models` フォルダ内のモデルを検出し、さらに extra_model_paths.yaml ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み取らせる必要があります。 UpscaleModelLoader ノードは、指定されたディレクトリからアップスケールモデルを読み込むために設計されています。このノードは、画像アップスケールタスク用のアップスケールモデルの取得と準備を容易にし、モデルが正しく読み込まれ、評価用に設定されていることを保証します。 ## 入力 -| フィールド | Comfy データ型 | 説明 | -|----------------|-------------------|-----------------------------------------------------------------------------------------| -| `モデル名` | `COMBO[STRING]` | 読み込むアップスケールモデルの名前を指定します。アップスケールモデルディレクトリから正しいモデルファイルを識別して取得します。 | +| フィールド | 説明 | Comfy データ型 | +| --- | --- | --- | +| `モデル名` | 読み込むアップスケールモデルの名前を指定します。アップスケールモデルディレクトリから正しいモデルファイルを識別して取得します。 | `COMBO[STRING]` | ## 出力 -| フィールド | Comfy データ型 | 説明 | -|----------------------|----------------------|-----------------------------------------------------------------------------------------| -| `upscale_model` | `UPSCALE_MODEL` | 読み込まれ準備が整ったアップスケールモデルを返します。画像アップスケールタスクですぐに使用できます。 | \ No newline at end of file +| フィールド | 説明 | Comfy データ型 | +| --- | --- | --- | +| `upscale_model` | 読み込まれ準備が整ったアップスケールモデルを返します。画像アップスケールタスクですぐに使用できます。 | `UPSCALE_MODEL` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UpscaleModelLoader/ja.md) diff --git a/ja/built-in-nodes/VAEDecode.mdx b/ja/built-in-nodes/VAEDecode.mdx index 0746c1fe1..37960bbe9 100644 --- a/ja/built-in-nodes/VAEDecode.mdx +++ b/ja/built-in-nodes/VAEDecode.mdx @@ -5,19 +5,19 @@ sidebarTitle: "VAEDecode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecode/ja.md) - VAEDecode ノードは、指定された変分オートエンコーダ（VAE）を使用して、潜在表現を画像にデコードするために設計されています。このノードは、圧縮されたデータ表現から画像を生成し、潜在空間エンコーディングから画像を再構築する処理を実現します。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `サンプル` | `LATENT` | 「samples」パラメータは、画像にデコードされる潜在表現を表します。このパラメータはデコード処理において重要であり、画像が再構築される元となる圧縮データを提供します。 | -| `vae` | VAE | 「vae」パラメータは、潜在表現を画像にデコードするために使用する変分オートエンコーダモデルを指定します。このパラメータは、デコードの仕組みと再構築される画像の品質を決定する上で不可欠です。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `サンプル` | 「samples」パラメータは、画像にデコードされる潜在表現を表します。このパラメータはデコード処理において重要であり、画像が再構築される元となる圧縮データを提供します。 | `LATENT` | +| `vae` | 「vae」パラメータは、潜在表現を画像にデコードするために使用する変分オートエンコーダモデルを指定します。このパラメータは、デコードの仕組みと再構築される画像の品質を決定する上で不可欠です。 | VAE | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `image` | `IMAGE` | 出力は、指定されたVAEモデルを使用して提供された潜在表現から再構築された画像です。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `image` | 出力は、指定されたVAEモデルを使用して提供された潜在表現から再構築された画像です。 | `IMAGE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecode/ja.md) diff --git a/ja/built-in-nodes/VAEDecodeAudio.mdx b/ja/built-in-nodes/VAEDecodeAudio.mdx index bf0a10518..b852815b2 100644 --- a/ja/built-in-nodes/VAEDecodeAudio.mdx +++ b/ja/built-in-nodes/VAEDecodeAudio.mdx @@ -5,24 +5,24 @@ sidebarTitle: "VAEDecodeAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudio/ja.md) - 以下は、提供された英語ドキュメントの日本語翻訳です。 VAEDecodeAudioノードは、変分オートエンコーダ（VAE）を使用して、潜在表現をオーディオ波形に戻します。エンコードされたオーディオサンプルを受け取り、VAEを通して処理することで元のオーディオを再構築し、正規化を適用して一貫した出力レベルを確保します。結果のオーディオは、標準のサンプルレート44100 Hzで返されます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サンプル` | LATENT | はい | - | 潜在空間内のエンコードされたオーディオサンプル。オーディオ波形にデコードされます。 | -| `vae` | VAE | はい | - | 潜在サンプルをオーディオにデコードするために使用される変分オートエンコーダモデル。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サンプル` | 潜在空間内のエンコードされたオーディオサンプル。オーディオ波形にデコードされます。 | LATENT | はい | - | +| `vae` | 潜在サンプルをオーディオにデコードするために使用される変分オートエンコーダモデル。 | VAE | はい | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `AUDIO` | AUDIO | 音量が正規化され、サンプルレート44100 Hzのデコードされたオーディオ波形。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `AUDIO` | 音量が正規化され、サンプルレート44100 Hzのデコードされたオーディオ波形。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudio/ja.md) --- **Source fingerprint (SHA-256):** `15848d3763324cbae986949146d57352c68369713cd99a27d216797560836824` diff --git a/ja/built-in-nodes/VAEDecodeAudioTiled.mdx b/ja/built-in-nodes/VAEDecodeAudioTiled.mdx index 42378bd3c..55c12d5cf 100644 --- a/ja/built-in-nodes/VAEDecodeAudioTiled.mdx +++ b/ja/built-in-nodes/VAEDecodeAudioTiled.mdx @@ -5,24 +5,24 @@ sidebarTitle: "VAEDecodeAudioTiled" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/ja.md) - このノードは、Variational Autoencoder（VAE）を使用して、圧縮された音声表現（潜在サンプル）を音声波形に戻します。メモリ使用量を管理するために、データをより小さな重なり合うセクション（タイル）に分割して処理するため、長い音声シーケンスの処理に適しています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サンプル` | LATENT | はい | なし | デコードする音声の圧縮された潜在表現。 | -| `vae` | VAE | はい | なし | デコードを実行するために使用されるVariational Autoencoderモデル。 | -| `タイルサイズ` | INT | はい | 32～8192 | 各処理タイルのサイズ。メモリを節約するために、音声はこの長さのセクションに分割されてデコードされます（デフォルト：512）。 | -| `オーバーラップ` | INT | はい | 0～1024 | 隣接するタイルが重なり合うサンプル数。タイル間の境界におけるアーティファクトを低減するのに役立ちます（デフォルト：64）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サンプル` | デコードする音声の圧縮された潜在表現。 | LATENT | はい | なし | +| `vae` | デコードを実行するために使用されるVariational Autoencoderモデル。 | VAE | はい | なし | +| `タイルサイズ` | 各処理タイルのサイズ。メモリを節約するために、音声はこの長さのセクションに分割されてデコードされます（デフォルト：512）。 | INT | はい | 32～8192 | +| `オーバーラップ` | 隣接するタイルが重なり合うサンプル数。タイル間の境界におけるアーティファクトを低減するのに役立ちます（デフォルト：64）。 | INT | はい | 0～1024 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | AUDIO | デコードされた音声波形。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | デコードされた音声波形。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/ja.md) --- **Source fingerprint (SHA-256):** `d989f0cd0e4b4bf992d6860e27c25b8e814df52763c82909a61c58f418306352` diff --git a/ja/built-in-nodes/VAEDecodeHunyuan3D.mdx b/ja/built-in-nodes/VAEDecodeHunyuan3D.mdx index b513e211b..6a796e9db 100644 --- a/ja/built-in-nodes/VAEDecodeHunyuan3D.mdx +++ b/ja/built-in-nodes/VAEDecodeHunyuan3D.mdx @@ -5,24 +5,24 @@ sidebarTitle: "VAEDecodeHunyuan3D" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeHunyuan3D/ja.md) - VAEDecodeHunyuan3D ノードは、VAE デコーダーを使用して潜在表現を 3D ボクセルデータに変換します。設定可能なチャンク数と解像度の設定で、VAE モデルを通じて潜在サンプルを処理し、3D アプリケーションに適したボリュームデータを生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サンプル` | LATENT | はい | - | 3D ボクセルデータにデコードされる潜在表現 | -| `vae` | VAE | はい | - | 潜在サンプルのデコードに使用される VAE モデル | -| `num_chunks` | INT | はい | 1000-500000 | メモリ管理のために処理を分割するチャンク数（デフォルト: 8000） | -| `octree_resolution` | INT | はい | 16-512 | 3D ボクセル生成に使用されるオクツリー構造の解像度（デフォルト: 256） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サンプル` | 3D ボクセルデータにデコードされる潜在表現 | LATENT | はい | - | +| `vae` | 潜在サンプルのデコードに使用される VAE モデル | VAE | はい | - | +| `num_chunks` | メモリ管理のために処理を分割するチャンク数（デフォルト: 8000） | INT | はい | 1000-500000 | +| `octree_resolution` | 3D ボクセル生成に使用されるオクツリー構造の解像度（デフォルト: 256） | INT | はい | 16-512 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `voxels` | VOXEL | デコードされた潜在表現から生成された 3D ボクセルデータ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `voxels` | デコードされた潜在表現から生成された 3D ボクセルデータ | VOXEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeHunyuan3D/ja.md) --- **Source fingerprint (SHA-256):** `a53ad8e14a2ffca6278866753046d5959f057a4c3fdba5623b37545cee27d557` diff --git a/ja/built-in-nodes/VAEDecodeTiled.mdx b/ja/built-in-nodes/VAEDecodeTiled.mdx index bb05e7427..a127d17b1 100644 --- a/ja/built-in-nodes/VAEDecodeTiled.mdx +++ b/ja/built-in-nodes/VAEDecodeTiled.mdx @@ -5,28 +5,28 @@ sidebarTitle: "VAEDecodeTiled" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeTiled/ja.md) - VAEDecodeTiled ノードは、タイル方式を使用して潜在表現を画像にデコードし、大きな画像を効率的に処理します。メモリ使用量を管理しながら画質を維持するため、入力を小さなタイルに分割して処理します。また、時間的フレームを重複付きのチャンクで処理することで、ビデオVAEにも対応し、スムーズな遷移を実現します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `サンプル` | LATENT | はい | - | 画像にデコードする潜在表現 | -| `vae` | VAE | はい | - | 潜在サンプルのデコードに使用するVAEモデル | -| `タイルサイズ` | INT | はい | 64-4096 (ステップ: 32) | 処理する各タイルのサイズ（デフォルト: 512） | -| `オーバーラップ` | INT | はい | 0-4096 (ステップ: 32) | 隣接するタイル間の重複量（デフォルト: 64） | -| `temporal_size` | INT | はい | 8-4096 (ステップ: 4) | ビデオVAEのみで使用: 一度にデコードするフレーム数（デフォルト: 64） | -| `temporal_overlap` | INT | はい | 4-4096 (ステップ: 4) | ビデオVAEのみで使用: 重複するフレーム数（デフォルト: 8） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `サンプル` | 画像にデコードする潜在表現 | LATENT | はい | - | +| `vae` | 潜在サンプルのデコードに使用するVAEモデル | VAE | はい | - | +| `タイルサイズ` | 処理する各タイルのサイズ（デフォルト: 512） | INT | はい | 64-4096 (ステップ: 32) | +| `オーバーラップ` | 隣接するタイル間の重複量（デフォルト: 64） | INT | はい | 0-4096 (ステップ: 32) | +| `temporal_size` | ビデオVAEのみで使用: 一度にデコードするフレーム数（デフォルト: 64） | INT | はい | 8-4096 (ステップ: 4) | +| `temporal_overlap` | ビデオVAEのみで使用: 重複するフレーム数（デフォルト: 8） | INT | はい | 4-4096 (ステップ: 4) | **注記:** ノードは、重複値が実用的な制限を超えた場合に自動的に調整します。`tile_size`が`overlap`の4倍未満の場合、重複はタイルサイズの4分の1に削減されます。同様に、`temporal_size`が`temporal_overlap`の2倍未満の場合、時間的重複は半分に削減されます。また、ノードは空間次元と時間次元の両方についてタイルサイズと重複サイズを計算する際に、VAEの内部圧縮率も考慮します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | 潜在表現から生成されたデコード済み画像（または複数の画像） | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | 潜在表現から生成されたデコード済み画像（または複数の画像） | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeTiled/ja.md) --- **Source fingerprint (SHA-256):** `193d5cb219d66855ae581d3e4488b7b6ae3a45b735fb0f9f784fea1f5d466e46` diff --git a/ja/built-in-nodes/VAEDecodeTripoSplat.mdx b/ja/built-in-nodes/VAEDecodeTripoSplat.mdx new file mode 100644 index 000000000..149aee1e1 --- /dev/null +++ b/ja/built-in-nodes/VAEDecodeTripoSplat.mdx @@ -0,0 +1,32 @@ +--- +title: "VAEDecodeTripoSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEDecodeTripoSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAEDecodeTripoSplat" +icon: "circle" +mode: wide +--- +# VAEDecodeTripoSplat + +TripoSplatの潜在表現を3Dガウシアンスプラットにデコードします。このノードは、TripoSplatモデルからサンプリングされた潜在表現を受け取り、それを3Dガウシアンの集合として再構築します。生成されるガウシアンの数を変更することで、密度を調整することができます。 + +## 入力 + +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +|-----------|-------------|-----------|----------|-------| +| `samples` | デコードする潜在サンプル | LATENT | はい | - | +| `vae` | TripoSplat VAEデコーダーモデル | VAE | はい | - | +| `num_gaussians` | 生成するガウシアンの数（32の倍数に丸められます）。262144はオクツリーの点密度に一致します。これより大きい値は同じ点をオーバーサンプリングし（密度は高まりますが新しい詳細は追加されません）、VRAMと処理時間が比例して増加します。デフォルト: 262144 | INT | はい | 32 ～ 1048576（ステップ: 32） | +| `seed` | 決定論的なデコードのためのオクツリー点サンプラー（グローバルRNG）のシード値。デフォルト: 0 | INT | はい | 0 ～ 18446744073709551615 | + +**注意:** `num_gaussians`の値は、VAEデコーダーのガウシアン・パー・ポイント設定の倍数に自動的に丸められます。実際に使用される数値は、入力値と若干異なる場合があります。 + +## 出力 + +| 出力名 | 説明 | データ型 | +|-------------|-------------|-----------| +| `splat` | 位置、スケール、回転、不透明度、球面調和係数を含むデコード済み3Dガウシアンスプラット | SPLAT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeTripoSplat/ja.md) + +--- +**Source fingerprint (SHA-256):** `60fff70ade38bc820eaea9db26b714daf84a111fb3563477f56f4e8ffa96ff5b` diff --git a/ja/built-in-nodes/VAEEncode.mdx b/ja/built-in-nodes/VAEEncode.mdx index 6e728ef5d..b68dc2bcf 100644 --- a/ja/built-in-nodes/VAEEncode.mdx +++ b/ja/built-in-nodes/VAEEncode.mdx @@ -5,19 +5,19 @@ sidebarTitle: "VAEEncode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncode/ja.md) - このノードは、指定されたVAEモデルを使用して画像を潜在空間表現にエンコードするために設計されています。エンコード処理の複雑さを抽象化し、画像をその潜在表現に変換する簡単な方法を提供します。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `ピクセル` | `IMAGE` | 「pixels」パラメータは、潜在空間にエンコードされる画像データを表します。エンコード処理への直接入力として機能することで、出力される潜在表現を決定する上で重要な役割を果たします。 | -| `vae` | VAE | 「vae」パラメータは、画像データを潜在空間にエンコードするために使用される変分オートエンコーダモデルを指定します。エンコードメカニズムと生成される潜在表現の特性を定義するために不可欠です。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `ピクセル` | 「pixels」パラメータは、潜在空間にエンコードされる画像データを表します。エンコード処理への直接入力として機能することで、出力される潜在表現を決定する上で重要な役割を果たします。 | `IMAGE` | +| `vae` | 「vae」パラメータは、画像データを潜在空間にエンコードするために使用される変分オートエンコーダモデルを指定します。エンコードメカニズムと生成される潜在表現の特性を定義するために不可欠です。 | VAE | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 出力は入力画像の潜在空間表現であり、その本質的な特徴を圧縮された形式でカプセル化しています。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 出力は入力画像の潜在空間表現であり、その本質的な特徴を圧縮された形式でカプセル化しています。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncode/ja.md) diff --git a/ja/built-in-nodes/VAEEncodeAudio.mdx b/ja/built-in-nodes/VAEEncodeAudio.mdx index 602e0cf5f..491597950 100644 --- a/ja/built-in-nodes/VAEEncodeAudio.mdx +++ b/ja/built-in-nodes/VAEEncodeAudio.mdx @@ -5,24 +5,24 @@ sidebarTitle: "VAEEncodeAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeAudio/ja.md) - VAEEncodeAudio ノードは、Variational Autoencoder（VAE）を使用してオーディオデータを潜在表現に変換します。オーディオ入力を受け取り、VAE を通して処理することで、さらなるオーディオ生成や操作タスクに使用できる圧縮された潜在サンプルを生成します。このノードは、必要に応じてエンコード前にオーディオを VAE の期待するサンプルレートに自動的にリサンプリングします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `オーディオ` | AUDIO | はい | - | エンコードするオーディオデータ。波形とサンプルレートの情報を含みます | -| `vae` | VAE | はい | - | オーディオを潜在空間にエンコードするために使用される Variational Autoencoder モデル | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `オーディオ` | エンコードするオーディオデータ。波形とサンプルレートの情報を含みます | AUDIO | はい | - | +| `vae` | オーディオを潜在空間にエンコードするために使用される Variational Autoencoder モデル | VAE | はい | - | **注記：** オーディオ入力は、元のサンプルレートが VAE の期待するサンプルレート（デフォルト：44100 Hz）と異なる場合、自動的にリサンプリングされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `LATENT` | LATENT | 潜在空間におけるエンコードされたオーディオ表現。圧縮されたサンプルを含みます | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `LATENT` | 潜在空間におけるエンコードされたオーディオ表現。圧縮されたサンプルを含みます | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeAudio/ja.md) --- **Source fingerprint (SHA-256):** `db509ab571154c4cedbfc6cae6591bd2b67b2c6e2261766565cdb0205b2c2ecc` diff --git a/ja/built-in-nodes/VAEEncodeForInpaint.mdx b/ja/built-in-nodes/VAEEncodeForInpaint.mdx index bdc9370c6..3e5c654f7 100644 --- a/ja/built-in-nodes/VAEEncodeForInpaint.mdx +++ b/ja/built-in-nodes/VAEEncodeForInpaint.mdx @@ -5,21 +5,21 @@ sidebarTitle: "VAEEncodeForInpaint" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeForInpaint/ja.md) - このノードは、インペイントタスクに適した潜在表現に画像をエンコードするために設計されており、VAEモデルによる最適なエンコードのために入力画像とマスクを調整する追加の前処理手順を組み込んでいます。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `ピクセル` | `IMAGE` | エンコードされる入力画像です。この画像は、エンコード前にVAEモデルの期待する入力寸法に合わせるため、前処理とリサイズが行われます。 | -| `vae` | VAE | 画像を潜在表現にエンコードするために使用されるVAEモデルです。変換プロセスにおいて重要な役割を果たし、出力される潜在空間の品質と特性を決定します。 | -| `マスク` | `MASK` | 入力画像のインペイント対象領域を示すマスクです。エンコード前に画像を修正するために使用され、VAEが関連領域に焦点を当てることを保証します。 | -| `マスクの拡大` | `INT` | 潜在空間でのシームレスな遷移を確保するために、インペイントマスクを拡張する量を指定します。値が大きいほど、インペイントの影響を受ける領域が広がります。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `ピクセル` | エンコードされる入力画像です。この画像は、エンコード前にVAEモデルの期待する入力寸法に合わせるため、前処理とリサイズが行われます。 | `IMAGE` | +| `vae` | 画像を潜在表現にエンコードするために使用されるVAEモデルです。変換プロセスにおいて重要な役割を果たし、出力される潜在空間の品質と特性を決定します。 | VAE | +| `マスク` | 入力画像のインペイント対象領域を示すマスクです。エンコード前に画像を修正するために使用され、VAEが関連領域に焦点を当てることを保証します。 | `MASK` | +| `マスクの拡大` | 潜在空間でのシームレスな遷移を確保するために、インペイントマスクを拡張する量を指定します。値が大きいほど、インペイントの影響を受ける領域が広がります。 | `INT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `latent` | `LATENT` | 出力には、画像のエンコードされた潜在表現とノイズマスクが含まれます。これらは両方とも、後続のインペイントタスクに不可欠です。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `latent` | 出力には、画像のエンコードされた潜在表現とノイズマスクが含まれます。これらは両方とも、後続のインペイントタスクに不可欠です。 | `LATENT` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeForInpaint/ja.md) diff --git a/ja/built-in-nodes/VAEEncodeTiled.mdx b/ja/built-in-nodes/VAEEncodeTiled.mdx index f1ecfb2ef..3c8865f7c 100644 --- a/ja/built-in-nodes/VAEEncodeTiled.mdx +++ b/ja/built-in-nodes/VAEEncodeTiled.mdx @@ -5,28 +5,28 @@ sidebarTitle: "VAEEncodeTiled" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeTiled/ja.md) - VAEEncodeTiled ノードは、画像を小さなタイルに分割し、変分オートエンコーダ（VAE）を使用してエンコードすることで処理を行います。このタイル分割アプローチにより、メモリ制限を超える可能性のある大きな画像も処理できるようになります。このノードは画像用と動画用の両方のVAEをサポートしており、空間次元と時間次元に対して個別のタイル制御が可能です。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ピクセル` | IMAGE | はい | - | エンコードする入力画像データ | -| `vae` | VAE | はい | - | エンコードに使用する変分オートエンコーダモデル | -| `タイルサイズ` | INT | はい | 64～4096（ステップ：64） | 空間処理における各タイルのサイズ（デフォルト：512） | -| `オーバーラップ` | INT | はい | 0～4096（ステップ：32） | 隣接するタイル間のオーバーラップ量（デフォルト：64） | -| `temporal_size` | INT | はい | 8～4096（ステップ：4） | 動画VAEでのみ使用：一度にエンコードするフレーム数（デフォルト：64） | -| `temporal_overlap` | INT | はい | 4～4096（ステップ：4） | 動画VAEでのみ使用：オーバーラップさせるフレーム数（デフォルト：8） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ピクセル` | エンコードする入力画像データ | IMAGE | はい | - | +| `vae` | エンコードに使用する変分オートエンコーダモデル | VAE | はい | - | +| `タイルサイズ` | 空間処理における各タイルのサイズ（デフォルト：512） | INT | はい | 64～4096（ステップ：64） | +| `オーバーラップ` | 隣接するタイル間のオーバーラップ量（デフォルト：64） | INT | はい | 0～4096（ステップ：32） | +| `temporal_size` | 動画VAEでのみ使用：一度にエンコードするフレーム数（デフォルト：64） | INT | はい | 8～4096（ステップ：4） | +| `temporal_overlap` | 動画VAEでのみ使用：オーバーラップさせるフレーム数（デフォルト：8） | INT | はい | 4～4096（ステップ：4） | **注記：** `temporal_size` と `temporal_overlap` パラメータは動画VAEを使用する場合にのみ関連し、標準の画像VAEには影響しません。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `LATENT` | LATENT | 入力画像のエンコードされた潜在表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `LATENT` | 入力画像のエンコードされた潜在表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeTiled/ja.md) --- **Source fingerprint (SHA-256):** `87420b96ef9b2d5ef18ecb0339a62b6955151e2a9d2c4390758048c00432939a` diff --git a/ja/built-in-nodes/VAELoader.mdx b/ja/built-in-nodes/VAELoader.mdx index 1af19091f..d577e3f4d 100644 --- a/ja/built-in-nodes/VAELoader.mdx +++ b/ja/built-in-nodes/VAELoader.mdx @@ -5,20 +5,20 @@ sidebarTitle: "VAELoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAELoader/ja.md) - このノードは、`ComfyUI/models/vae` フォルダ内に配置されたモデルを検出し、さらに extra_model_paths.yaml ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み込ませる必要があります。 VAELoader ノードは、Variational Autoencoder（VAE）モデルを読み込むために設計されており、標準的な VAE と近似 VAE の両方を処理できるように特別に調整されています。名前による VAE の読み込みをサポートし、'taesd' や 'taesdxl' モデルに対する特別な処理を含み、VAE の特定の設定に基づいて動的に調整します。 ## 入力 -| フィールド | Comfy データ型 | 説明 | -|---------|-------------------|------| -| `vae_name` | `COMBO[STRING]` | 読み込む VAE の名前を指定します。これにより、取得して読み込む VAE モデルが決定され、'taesd' や 'taesdxl' を含む、事前定義されたさまざまな VAE 名をサポートします。 | +| フィールド | 説明 | Comfy データ型 | +| --- | --- | --- | +| `vae_name` | 読み込む VAE の名前を指定します。これにより、取得して読み込む VAE モデルが決定され、'taesd' や 'taesdxl' を含む、事前定義されたさまざまな VAE 名をサポートします。 | `COMBO[STRING]` | ## 出力 -| フィールド | データ型 | 説明 | -|-------|-------------|------| -| `vae` | `VAE` | 読み込まれた VAE モデルを返します。エンコードやデコードなどの後続の操作に使用できます。出力は、読み込まれたモデルの状態をカプセル化したモデルオブジェクトです。 | \ No newline at end of file +| フィールド | 説明 | データ型 | +| --- | --- | --- | +| `vae` | 読み込まれた VAE モデルを返します。エンコードやデコードなどの後続の操作に使用できます。出力は、読み込まれたモデルの状態をカプセル化したモデルオブジェクトです。 | `VAE` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAELoader/ja.md) diff --git a/ja/built-in-nodes/VAESave.mdx b/ja/built-in-nodes/VAESave.mdx index 1b41c3df2..04485868e 100644 --- a/ja/built-in-nodes/VAESave.mdx +++ b/ja/built-in-nodes/VAESave.mdx @@ -5,17 +5,17 @@ sidebarTitle: "VAESave" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAESave/ja.md) - VAESaveノードは、VAEモデルをプロンプトや追加のPNG情報などのメタデータとともに、指定された出力ディレクトリに保存するために設計されています。このノードは、モデルの状態と関連情報をファイルにシリアライズする機能をカプセル化しており、学習済みモデルの保存と共有を容易にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `vae` | VAE | 保存するVAEモデルです。このパラメータは、シリアライズして保存するモデルの状態を表すため、非常に重要です。 | -| `ファイル名プレフィックス` | STRING | モデルとそのメタデータを保存するファイル名のプレフィックスです。これにより、モデルを整理して保存し、簡単に取得できるようになります。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `vae` | 保存するVAEモデルです。このパラメータは、シリアライズして保存するモデルの状態を表すため、非常に重要です。 | VAE | +| `ファイル名プレフィックス` | モデルとそのメタデータを保存するファイル名のプレフィックスです。これにより、モデルを整理して保存し、簡単に取得できるようになります。 | STRING | ## 出力 -このノードには出力タイプはありません。 \ No newline at end of file +このノードには出力タイプはありません。 + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAESave/ja.md) diff --git a/ja/built-in-nodes/VOIDInpaintConditioning.mdx b/ja/built-in-nodes/VOIDInpaintConditioning.mdx index 9c1cbaf2e..1a21d13d0 100644 --- a/ja/built-in-nodes/VOIDInpaintConditioning.mdx +++ b/ja/built-in-nodes/VOIDInpaintConditioning.mdx @@ -5,31 +5,31 @@ sidebarTitle: "VOIDInpaintConditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDInpaintConditioning/ja.md) - VOIDInpaintConditioning ノードは、CogVideoX モデルでインペインティングを行うために必要な条件付けデータを準備します。ソース動画と前処理済みのクワッドマスクを受け取り、VAE を通じてエンコードし、それらを 32 チャンネルの条件付け信号に結合します。この信号は、モデルがマスク領域を補完するために使用します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | インペインティング潜在情報で拡張されるポジティブ条件付け | -| `negative` | CONDITIONING | はい | - | インペインティング潜在情報で拡張されるネガティブ条件付け | -| `vae` | VAE | はい | - | マスクとマスク済み動画を潜在空間にエンコードするために使用する VAE モデル | -| `video` | IMAGE | はい | - | ソース動画フレーム [T, H, W, 3] | -| `quadmask` | MASK | はい | - | VOIDQuadmaskPreprocess からの前処理済みクワッドマスク [T, H, W] | -| `width` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ: 8） | 動画とマスクのリサイズ幅（デフォルト: 672） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ: 8） | 動画とマスクのリサイズ高さ（デフォルト: 384） | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION（ステップ: 1） | 処理するピクセルフレーム数。CogVideoX-Fun-V1.5（patch_size_t=2）の場合、latent_t は偶数である必要があります。奇数になる長さは切り捨てられます（例: 49 → 45）（デフォルト: 45） | -| `batch_size` | INT | はい | 1 ～ 64 | 出力ノイズ潜在のバッチサイズ（デフォルト: 1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `positive` | インペインティング潜在情報で拡張されるポジティブ条件付け | CONDITIONING | はい | - | +| `negative` | インペインティング潜在情報で拡張されるネガティブ条件付け | CONDITIONING | はい | - | +| `vae` | マスクとマスク済み動画を潜在空間にエンコードするために使用する VAE モデル | VAE | はい | - | +| `video` | ソース動画フレーム [T, H, W, 3] | IMAGE | はい | - | +| `quadmask` | VOIDQuadmaskPreprocess からの前処理済みクワッドマスク [T, H, W] | MASK | はい | - | +| `width` | 動画とマスクのリサイズ幅（デフォルト: 672） | INT | はい | 16 ～ MAX_RESOLUTION（ステップ: 8） | +| `height` | 動画とマスクのリサイズ高さ（デフォルト: 384） | INT | はい | 16 ～ MAX_RESOLUTION（ステップ: 8） | +| `length` | 処理するピクセルフレーム数。CogVideoX-Fun-V1.5（patch_size_t=2）の場合、latent_t は偶数である必要があります。奇数になる長さは切り捨てられます（例: 49 → 45）（デフォルト: 45） | INT | はい | 1 ～ MAX_RESOLUTION（ステップ: 1） | +| `batch_size` | 出力ノイズ潜在のバッチサイズ（デフォルト: 1） | INT | はい | 1 ～ 64 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `negative` | CONDITIONING | インペインティング潜在情報が追加されたポジティブ条件付け | -| `latent` | CONDITIONING | インペインティング潜在情報が追加されたネガティブ条件付け | -| `latent` | LATENT | 形状 [batch_size, 16, latent_t, latent_h, latent_w] のゼロ埋めノイズ潜在テンソル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `negative` | インペインティング潜在情報が追加されたポジティブ条件付け | CONDITIONING | +| `latent` | インペインティング潜在情報が追加されたネガティブ条件付け | CONDITIONING | +| `latent` | 形状 [batch_size, 16, latent_t, latent_h, latent_w] のゼロ埋めノイズ潜在テンソル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDInpaintConditioning/ja.md) --- **Source fingerprint (SHA-256):** `a1fe36376d7930286c7a288f261dcf2961d6b13cc412d1a0d42af8a4f9ebeeaf` diff --git a/ja/built-in-nodes/VOIDQuadmaskPreprocess.mdx b/ja/built-in-nodes/VOIDQuadmaskPreprocess.mdx index f6a7214f0..e0caeb63d 100644 --- a/ja/built-in-nodes/VOIDQuadmaskPreprocess.mdx +++ b/ja/built-in-nodes/VOIDQuadmaskPreprocess.mdx @@ -5,23 +5,23 @@ sidebarTitle: "VOIDQuadmaskPreprocess" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDQuadmaskPreprocess/ja.md) - ## 概要 VOIDQuadmaskPreprocess ノードは、マスクを特殊な4段階の「クアッドマスク」に変換することで、VOID インペインティング用のマスクを準備します。入力マスクを受け取り、必要に応じて主要領域を膨張させた後、マスク値を4つの異なるレベルに量子化します。これらは異なる意味領域（主要オブジェクト、重なり領域、影響領域、背景）を表します。最後にマスクを反転・正規化し、出力値が [0, 1] の範囲になるようにします。ここで 1.0 は削除する領域、0.0 は保持する領域を示します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `mask` | MASK | はい | N/A | 前処理する入力マスク。 | -| `dilate_width` | INT | いいえ | 0～50（ステップ: 1） | 主要マスク領域の膨張半径。0 を指定すると膨張は適用されません。（デフォルト: 0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `mask` | 前処理する入力マスク。 | MASK | はい | N/A | +| `dilate_width` | 主要マスク領域の膨張半径。0 を指定すると膨張は適用されません。（デフォルト: 0） | INT | いいえ | 0～50（ステップ: 1） | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `quadmask` | MASK | 値が [0, 1] の範囲に正規化された前処理済みクアッドマスク。4つの離散レベル（1.0: 削除する主要オブジェクト、約0.75: 主要オブジェクトと影響領域の重なり、約0.50: 影響領域、0.0: 保持する背景）を表します。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `quadmask` | 値が [0, 1] の範囲に正規化された前処理済みクアッドマスク。4つの離散レベル（1.0: 削除する主要オブジェクト、約0.75: 主要オブジェクトと影響領域の重なり、約0.50: 影響領域、0.0: 保持する背景）を表します。 | MASK | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDQuadmaskPreprocess/ja.md) --- **Source fingerprint (SHA-256):** `12dc5ab215b80d81289942457ce2ddffcb9ec41fc738a53ca5fbf1e9181ed439` diff --git a/ja/built-in-nodes/VOIDSampler.mdx b/ja/built-in-nodes/VOIDSampler.mdx index 9ae8420c7..a1970a34f 100644 --- a/ja/built-in-nodes/VOIDSampler.mdx +++ b/ja/built-in-nodes/VOIDSampler.mdx @@ -5,8 +5,6 @@ sidebarTitle: "VOIDSampler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDSampler/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 ## 概要 @@ -17,15 +15,17 @@ VOIDSampler ノードは、VOID インペインティングモデル専用に設 このノードには設定可能な入力パラメーターはありません。固定の DDIM サンプリングアルゴリズムを適用する自己完結型のサンプラーです。 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|--------------|----------|------|------|------| -| *入力なし* | - | - | - | このノードは入力パラメーターを受け付けません。 | +| パラメーター | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| *入力なし* | このノードは入力パラメーターを受け付けません。 | - | - | - | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `SAMPLER` | SAMPLER | VOID DDIM アルゴリズムを実装したサンプラーオブジェクト。SamplerCustom または SamplerCustomAdvanced ノードに接続して使用できます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `SAMPLER` | VOID DDIM アルゴリズムを実装したサンプラーオブジェクト。SamplerCustom または SamplerCustomAdvanced ノードに接続して使用できます。 | SAMPLER | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDSampler/ja.md) --- **Source fingerprint (SHA-256):** `c6f1be9a90003906c54cced20e8136ab7e4f7e7118e63b67ce366eeb7f790dca` diff --git a/ja/built-in-nodes/VOIDWarpedNoise.mdx b/ja/built-in-nodes/VOIDWarpedNoise.mdx index 74ce121e5..a688c7715 100644 --- a/ja/built-in-nodes/VOIDWarpedNoise.mdx +++ b/ja/built-in-nodes/VOIDWarpedNoise.mdx @@ -5,8 +5,6 @@ sidebarTitle: "VOIDWarpedNoise" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoise/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,22 +13,24 @@ VOID動画精細化プロセスの2回目のパス用に、時間的に相関の ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `optical_flow` | MODEL | はい | - | OpticalFlowLoader（RAFT-large）からのオプティカルフローモデル。 | -| `video` | IMAGE | はい | - | パス1の出力動画フレーム [T, H, W, 3]。 | -| `width` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ 8） | 出力潜在変数の幅（デフォルト: 672）。 | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ 8） | 出力潜在変数の高さ（デフォルト: 384）。 | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION（ステップ 1） | ピクセルフレーム数。latent_t を偶数にするために切り捨てられます（patch_size_t=2 の要件）。例: 49 → 45（デフォルト: 45）。 | -| `batch_size` | INT | はい | 1 ～ 64 | 生成する同一ノイズシーケンスの数（デフォルト: 1）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `optical_flow` | OpticalFlowLoader（RAFT-large）からのオプティカルフローモデル。 | MODEL | はい | - | +| `video` | パス1の出力動画フレーム [T, H, W, 3]。 | IMAGE | はい | - | +| `width` | 出力潜在変数の幅（デフォルト: 672）。 | INT | はい | 16 ～ MAX_RESOLUTION（ステップ 8） | +| `height` | 出力潜在変数の高さ（デフォルト: 384）。 | INT | はい | 16 ～ MAX_RESOLUTION（ステップ 8） | +| `length` | ピクセルフレーム数。latent_t を偶数にするために切り捨てられます（patch_size_t=2 の要件）。例: 49 → 45（デフォルト: 45）。 | INT | はい | 1 ～ MAX_RESOLUTION（ステップ 1） | +| `batch_size` | 生成する同一ノイズシーケンスの数（デフォルト: 1）。 | INT | はい | 1 ～ 64 | **`length` パラメータに関する注意:** `length` の値は、`latent_t` 次元が偶数になる最も近い有効な値に自動的に切り捨てられます。これは、CogVideoX-Fun-V1.5 モデルの `patch_size_t=2` 制約によるものです。切り捨てが発生した場合、警告がログに記録されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `warped_noise` | LATENT | オプティカルフローでワープされたガウシアンノイズを含む5次元テンソル（B, C, T, H, W）。VOIDパス2の初期潜在変数として使用可能です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `warped_noise` | オプティカルフローでワープされたガウシアンノイズを含む5次元テンソル（B, C, T, H, W）。VOIDパス2の初期潜在変数として使用可能です。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoise/ja.md) --- **Source fingerprint (SHA-256):** `a0f986e54bcc6c455220f89f5d840585a9eae081e522ea11e0ce37ab46821bd9` diff --git a/ja/built-in-nodes/VOIDWarpedNoiseSource.mdx b/ja/built-in-nodes/VOIDWarpedNoiseSource.mdx index 82dc0fe36..34cd05a33 100644 --- a/ja/built-in-nodes/VOIDWarpedNoiseSource.mdx +++ b/ja/built-in-nodes/VOIDWarpedNoiseSource.mdx @@ -5,8 +5,6 @@ sidebarTitle: "VOIDWarpedNoiseSource" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoiseSource/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,15 +13,17 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `warped_noise` | LATENT | はい | なし | VOIDWarpedNoiseからの歪みノイズの潜在表現 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `warped_noise` | VOIDWarpedNoiseからの歪みノイズの潜在表現 | LATENT | はい | なし | ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `NOISE` | NOISE | SamplerCustomAdvancedで使用できるノイズソース | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `NOISE` | SamplerCustomAdvancedで使用できるノイズソース | NOISE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoiseSource/ja.md) --- **Source fingerprint (SHA-256):** `ff798d223da5cf705a40ad1f36cc403030105331d0cc4173e9553cd3718c5d93` diff --git a/ja/built-in-nodes/VPScheduler.mdx b/ja/built-in-nodes/VPScheduler.mdx index 86e55e33c..f51df7a26 100644 --- a/ja/built-in-nodes/VPScheduler.mdx +++ b/ja/built-in-nodes/VPScheduler.mdx @@ -5,21 +5,21 @@ sidebarTitle: "VPScheduler" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VPScheduler/ja.md) - VPSchedulerノードは、Variance Preserving（VP）スケジューリング方式に基づいてノイズレベルのシーケンス（シグマ）を生成するように設計されています。このシーケンスは、拡散モデルにおけるノイズ除去プロセスを導くために重要であり、画像やその他のデータタイプの制御された生成を可能にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|-------------|----------|----------------------------------------------------------------------------------------------| -| `ステップ` | INT | 拡散プロセスにおけるステップ数を指定し、生成されるノイズレベルの粒度に影響を与えます。 | -| `beta_d` | FLOAT | 全体的なノイズレベルの分布を決定し、生成されるノイズレベルの分散に影響を与えます。 | -| `beta_min` | FLOAT | ノイズレベルの最小境界を設定し、ノイズが一定のしきい値を下回らないようにします。 | -| `eps_s` | FLOAT | 開始イプシロン値を調整し、拡散プロセスにおける初期ノイズレベルを微調整します。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `ステップ` | 拡散プロセスにおけるステップ数を指定し、生成されるノイズレベルの粒度に影響を与えます。 | INT | +| `beta_d` | 全体的なノイズレベルの分布を決定し、生成されるノイズレベルの分散に影響を与えます。 | FLOAT | +| `beta_min` | ノイズレベルの最小境界を設定し、ノイズが一定のしきい値を下回らないようにします。 | FLOAT | +| `eps_s` | 開始イプシロン値を調整し、拡散プロセスにおける初期ノイズレベルを微調整します。 | FLOAT | ## 出力 -| パラメータ | データ型 | 説明 | -|-------------|----------|-----------------------------------------------------------------------------------------------| -| `sigmas` | SIGMAS | VPスケジューリング方式に基づいて生成されたノイズレベル（シグマ）のシーケンスで、拡散モデルにおけるノイズ除去プロセスを導くために使用されます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `sigmas` | VPスケジューリング方式に基づいて生成されたノイズレベル（シグマ）のシーケンスで、拡散モデルにおけるノイズ除去プロセスを導くために使用されます。 | SIGMAS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VPScheduler/ja.md) diff --git a/ja/built-in-nodes/Veo3FirstLastFrameNode.mdx b/ja/built-in-nodes/Veo3FirstLastFrameNode.mdx index 4e5f4f492..1c05b1100 100644 --- a/ja/built-in-nodes/Veo3FirstLastFrameNode.mdx +++ b/ja/built-in-nodes/Veo3FirstLastFrameNode.mdx @@ -5,34 +5,34 @@ sidebarTitle: "Veo3FirstLastFrameNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/ja.md) - このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md) Veo3FirstLastFrameNodeは、GoogleのVeo 3モデルを使用して、テキストプロンプトに基づき、動画シーケンスの開始と終了を定義する最初と最後のフレームを指定して動画を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | N/A | 動画のテキストによる説明（デフォルト：空文字列）。 | -| `ネガティブプロンプト` | STRING | いいえ | N/A | 動画で避けるべき内容を指示するネガティブテキストプロンプト（デフォルト：空文字列）。 | -| `解像度` | COMBO | はい | `"720p"`
`"1080p"`
`"4k"` | 出力動画の解像度。 | -| `アスペクト比` | COMBO | いいえ | `"16:9"`
`"9:16"` | 出力動画のアスペクト比（デフォルト："16:9"）。 | -| `長さ` | INT | いいえ | 4 ～ 8 | 出力動画の長さ（秒単位）（デフォルト：8）。 | -| `シード値` | INT | いいえ | 0 ～ 4294967295 | 動画生成のためのシード値（デフォルト：0）。 | -| `最初のフレーム` | IMAGE | はい | N/A | 動画の開始フレーム。 | -| `最後のフレーム` | IMAGE | はい | N/A | 動画の終了フレーム。 | -| `モデル` | COMBO | いいえ | `"veo-3.1-generate"`
`"veo-3.1-fast-generate"`
`"veo-3.1-lite"` | 生成に使用する特定のVeo 3モデル（デフォルト："veo-3.1-generate"）。 | -| `音声生成` | BOOLEAN | いいえ | N/A | 動画のオーディオを生成するかどうか（デフォルト：True）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 動画のテキストによる説明（デフォルト：空文字列）。 | STRING | はい | N/A | +| `ネガティブプロンプト` | 動画で避けるべき内容を指示するネガティブテキストプロンプト（デフォルト：空文字列）。 | STRING | いいえ | N/A | +| `解像度` | 出力動画の解像度。 | COMBO | はい | `"720p"`
`"1080p"`
`"4k"` | +| `アスペクト比` | 出力動画のアスペクト比（デフォルト："16:9"）。 | COMBO | いいえ | `"16:9"`
`"9:16"` | +| `長さ` | 出力動画の長さ（秒単位）（デフォルト：8）。 | INT | いいえ | 4 ～ 8 | +| `シード値` | 動画生成のためのシード値（デフォルト：0）。 | INT | いいえ | 0 ～ 4294967295 | +| `最初のフレーム` | 動画の開始フレーム。 | IMAGE | はい | N/A | +| `最後のフレーム` | 動画の終了フレーム。 | IMAGE | はい | N/A | +| `モデル` | 生成に使用する特定のVeo 3モデル（デフォルト："veo-3.1-generate"）。 | COMBO | いいえ | `"veo-3.1-generate"`
`"veo-3.1-fast-generate"`
`"veo-3.1-lite"` | +| `音声生成` | 動画のオーディオを生成するかどうか（デフォルト：True）。 | BOOLEAN | いいえ | N/A | **注記:** `veo-3.1-lite`モデルは4K解像度をサポートしていません。`veo-3.1-lite`と`4k`解像度を選択すると、エラーが発生します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/ja.md) --- **Source fingerprint (SHA-256):** `b486b22e71a305172700760bb3eff256b0e571bba75e68f27e23a1e1a1319b5a` diff --git a/ja/built-in-nodes/Veo3VideoGenerationNode.mdx b/ja/built-in-nodes/Veo3VideoGenerationNode.mdx index 7e5f00095..f6a5fe652 100644 --- a/ja/built-in-nodes/Veo3VideoGenerationNode.mdx +++ b/ja/built-in-nodes/Veo3VideoGenerationNode.mdx @@ -5,34 +5,34 @@ sidebarTitle: "Veo3VideoGenerationNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/ja.md) - ## 概要 GoogleのVeo 3 APIを使用して、テキストプロンプトから動画を生成します。このノードは高速版や軽量版を含む複数のVeo 3モデルをサポートしており、動画の解像度、長さ、音声生成を指定できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `プロンプト` | STRING | はい | - | 動画のテキストによる説明（デフォルト: ""） | -| `アスペクト比` | COMBO | はい | "16:9"
"9:16" | 出力動画のアスペクト比（デフォルト: "16:9"） | -| `解像度` | COMBO | いいえ | "720p"
"1080p"
"4k" | 出力動画の解像度。veo-3.1-liteおよびveo-3.0モデルでは4Kは利用できません。（デフォルト: "720p"） | -| `ネガティブプロンプト` | STRING | いいえ | - | 動画で避けたい内容を指定するネガティブテキストプロンプト（デフォルト: ""） | -| `秒数` | INT | いいえ | 4-8 | 出力動画の長さ（秒）。2秒単位で指定します（デフォルト: 8） | -| `プロンプトの強化` | BOOLEAN | いいえ | - | このパラメータは非推奨であり、無視されます。（デフォルト: True） | -| `人物生成` | COMBO | いいえ | "ALLOW"
"BLOCK" | 動画内に人物を生成することを許可するかどうか（デフォルト: "ALLOW"） | -| `シード` | INT | いいえ | 0-4294967295 | 動画生成のシード値（0はランダム）（デフォルト: 0） | -| `画像` | IMAGE | いいえ | - | 動画生成をガイドするオプションの参照画像 | -| `モデル` | COMBO | いいえ | "veo-3.1-generate"
"veo-3.1-fast-generate"
"veo-3.1-lite"
"veo-3.0-generate-001"
"veo-3.0-fast-generate-001" | 動画生成に使用するVeo 3モデル（デフォルト: "veo-3.0-generate-001"） | -| `オーディオ生成` | BOOLEAN | いいえ | - | 動画の音声を生成します。すべてのVeo 3モデルでサポートされています。（デフォルト: False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `プロンプト` | 動画のテキストによる説明（デフォルト: ""） | STRING | はい | - | +| `アスペクト比` | 出力動画のアスペクト比（デフォルト: "16:9"） | COMBO | はい | "16:9"
"9:16" | +| `解像度` | 出力動画の解像度。veo-3.1-liteおよびveo-3.0モデルでは4Kは利用できません。（デフォルト: "720p"） | COMBO | いいえ | "720p"
"1080p"
"4k" | +| `ネガティブプロンプト` | 動画で避けたい内容を指定するネガティブテキストプロンプト（デフォルト: ""） | STRING | いいえ | - | +| `秒数` | 出力動画の長さ（秒）。2秒単位で指定します（デフォルト: 8） | INT | いいえ | 4-8 | +| `プロンプトの強化` | このパラメータは非推奨であり、無視されます。（デフォルト: True） | BOOLEAN | いいえ | - | +| `人物生成` | 動画内に人物を生成することを許可するかどうか（デフォルト: "ALLOW"） | COMBO | いいえ | "ALLOW"
"BLOCK" | +| `シード` | 動画生成のシード値（0はランダム）（デフォルト: 0） | INT | いいえ | 0-4294967295 | +| `画像` | 動画生成をガイドするオプションの参照画像 | IMAGE | いいえ | - | +| `モデル` | 動画生成に使用するVeo 3モデル（デフォルト: "veo-3.0-generate-001"） | COMBO | いいえ | "veo-3.1-generate"
"veo-3.1-fast-generate"
"veo-3.1-lite"
"veo-3.0-generate-001"
"veo-3.0-fast-generate-001" | +| `オーディオ生成` | 動画の音声を生成します。すべてのVeo 3モデルでサポートされています。（デフォルト: False） | BOOLEAN | いいえ | - | **注意:** `enhance_prompt`パラメータは非推奨であり、その値は無視されます。ノードは常に内部でプロンプトを拡張します。また、`resolution`パラメータはveo-3.1モデル使用時のみ適用され、veo-3.0モデルでは無視されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/ja.md) --- **Source fingerprint (SHA-256):** `36ea9d3f0ea717eb7b8146ca35dfdfbe538fbbf164541ee1d1b19b660543e375` diff --git a/ja/built-in-nodes/VeoVideoGenerationNode.mdx b/ja/built-in-nodes/VeoVideoGenerationNode.mdx index e9784bb14..9edb74027 100644 --- a/ja/built-in-nodes/VeoVideoGenerationNode.mdx +++ b/ja/built-in-nodes/VeoVideoGenerationNode.mdx @@ -5,33 +5,33 @@ sidebarTitle: "VeoVideoGenerationNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VeoVideoGenerationNode/ja.md) - 以下が翻訳結果です。 GoogleのVeo 2 APIを使用して、テキストプロンプトから動画を生成します。このノードは、テキスト説明とオプションの画像入力から動画を作成し、アスペクト比や再生時間などのパラメータを制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 動画のテキスト説明（デフォルト：空） | -| `aspect_ratio` | COMBO | はい | "16:9"
"9:16" | 出力動画のアスペクト比（デフォルト："16:9"） | -| `negative_prompt` | STRING | いいえ | - | 動画で避けるべき内容を指定するネガティブテキストプロンプト（デフォルト：空） | -| `duration_seconds` | INT | いいえ | 5-8 | 出力動画の再生時間（秒）（デフォルト：5） | -| `enhance_prompt` | BOOLEAN | いいえ | - | AI支援によるプロンプトの拡張を行うかどうか（デフォルト：True）。これは高度なパラメータです。 | -| `person_generation` | COMBO | いいえ | "ALLOW"
"BLOCK" | 動画内での人物生成を許可するかどうか（デフォルト："ALLOW"）。これは高度なパラメータです。 | -| `seed` | INT | いいえ | 0-4294967295 | 動画生成のシード値（0はランダム）（デフォルト：0）。これは高度なパラメータです。 | -| `image` | IMAGE | いいえ | - | 動画生成をガイドするオプションの参照画像 | -| `モデル` | COMBO | いいえ | "veo-2.0-generate-001" | 動画生成に使用するVeo 2モデル（デフォルト："veo-2.0-generate-001"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `prompt` | 動画のテキスト説明（デフォルト：空） | STRING | はい | - | +| `aspect_ratio` | 出力動画のアスペクト比（デフォルト："16:9"） | COMBO | はい | "16:9"
"9:16" | +| `negative_prompt` | 動画で避けるべき内容を指定するネガティブテキストプロンプト（デフォルト：空） | STRING | いいえ | - | +| `duration_seconds` | 出力動画の再生時間（秒）（デフォルト：5） | INT | いいえ | 5-8 | +| `enhance_prompt` | AI支援によるプロンプトの拡張を行うかどうか（デフォルト：True）。これは高度なパラメータです。 | BOOLEAN | いいえ | - | +| `person_generation` | 動画内での人物生成を許可するかどうか（デフォルト："ALLOW"）。これは高度なパラメータです。 | COMBO | いいえ | "ALLOW"
"BLOCK" | +| `seed` | 動画生成のシード値（0はランダム）（デフォルト：0）。これは高度なパラメータです。 | INT | いいえ | 0-4294967295 | +| `image` | 動画生成をガイドするオプションの参照画像 | IMAGE | いいえ | - | +| `モデル` | 動画生成に使用するVeo 2モデル（デフォルト："veo-2.0-generate-001"） | COMBO | いいえ | "veo-2.0-generate-001" | **注記：** `generate_audio`パラメータはVeo 3.0モデルでのみ利用可能であり、選択されたモデルに基づいてノードによって自動的に処理されます。Veo 3.0モデルを使用する場合、`enhance_prompt`パラメータは強制的にTrueになります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VeoVideoGenerationNode/ja.md) --- **Source fingerprint (SHA-256):** `1a8b8ffe82fce32566815248f4a2434a1b865b5e5651935ccb3b92c7e38adee9` diff --git a/ja/built-in-nodes/Video Slice.mdx b/ja/built-in-nodes/Video Slice.mdx index 5166e0b58..7f52e08ee 100644 --- a/ja/built-in-nodes/Video Slice.mdx +++ b/ja/built-in-nodes/Video Slice.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Video Slice" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Video Slice/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 --- @@ -15,18 +13,20 @@ Video Slice ノードを使用すると、動画から特定のセグメント ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ビデオ` | VIDEO | はい | - | スライスする入力動画です。 | -| `開始時間` | FLOAT | いいえ | -1e5 ～ 1e5 | 開始時間（秒単位、デフォルト：0.0）。 | -| `時間` | FLOAT | いいえ | 0.0 以上 | 長さ（秒単位）。0 の場合は無制限（デフォルト：0.0）。 | -| `厳密な時間` | BOOLEAN | いいえ | - | True の場合、指定された長さが取得できないときにエラーが発生します（デフォルト：False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ビデオ` | スライスする入力動画です。 | VIDEO | はい | - | +| `開始時間` | 開始時間（秒単位、デフォルト：0.0）。 | FLOAT | いいえ | -1e5 ～ 1e5 | +| `時間` | 長さ（秒単位）。0 の場合は無制限（デフォルト：0.0）。 | FLOAT | いいえ | 0.0 以上 | +| `厳密な時間` | True の場合、指定された長さが取得できないときにエラーが発生します（デフォルト：False）。 | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ビデオ` | VIDEO | トリミングされた動画セグメントです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ビデオ` | トリミングされた動画セグメントです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Video Slice/ja.md) --- **Source fingerprint (SHA-256):** `5e3e3e69931a25183eb01b7b87ec12cbf9f5a748781993dcbeec7a6d5f7260c1` diff --git a/ja/built-in-nodes/VideoLinearCFGGuidance.mdx b/ja/built-in-nodes/VideoLinearCFGGuidance.mdx index ff4e7883c..046a1ce49 100644 --- a/ja/built-in-nodes/VideoLinearCFGGuidance.mdx +++ b/ja/built-in-nodes/VideoLinearCFGGuidance.mdx @@ -5,19 +5,19 @@ sidebarTitle: "VideoLinearCFGGuidance" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoLinearCFGGuidance/ja.md) - VideoLinearCFGGuidance ノードは、ビデオモデルに線形条件付きガイダンススケールを適用し、指定された範囲にわたって条件付き成分と無条件成分の影響を調整します。これにより、生成プロセスを動的に制御し、所望の条件付けレベルに基づいてモデルの出力を微調整することが可能になります。 ## 入力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `モデル` | MODEL | このパラメータは、線形CFGガイダンスが適用されるビデオモデルを表します。ガイダンススケールで変更されるベースモデルを定義するために重要です。 | -| `最小cfg` | `FLOAT` | min_cfgパラメータは、適用される最小の条件付きガイダンススケールを指定し、線形スケール調整の開始点となります。ガイダンススケールの下限を決定する重要な役割を果たし、モデルの出力に影響を与えます。 | +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | このパラメータは、線形CFGガイダンスが適用されるビデオモデルを表します。ガイダンススケールで変更されるベースモデルを定義するために重要です。 | MODEL | +| `最小cfg` | min_cfgパラメータは、適用される最小の条件付きガイダンススケールを指定し、線形スケール調整の開始点となります。ガイダンススケールの下限を決定する重要な役割を果たし、モデルの出力に影響を与えます。 | `FLOAT` | ## 出力 -| パラメータ | データ型 | 説明 | -|-----------|-------------|-------------| -| `モデル` | MODEL | 出力は、線形CFGガイダンススケールが適用された入力モデルの変更バージョンです。この調整されたモデルは、指定されたガイダンススケールに基づいて、さまざまな条件付け度合いで出力を生成することができます。 | \ No newline at end of file +| パラメータ | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 出力は、線形CFGガイダンススケールが適用された入力モデルの変更バージョンです。この調整されたモデルは、指定されたガイダンススケールに基づいて、さまざまな条件付け度合いで出力を生成することができます。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoLinearCFGGuidance/ja.md) diff --git a/ja/built-in-nodes/VideoTriangleCFGGuidance.mdx b/ja/built-in-nodes/VideoTriangleCFGGuidance.mdx index bcbc9da8d..8d820ea7f 100644 --- a/ja/built-in-nodes/VideoTriangleCFGGuidance.mdx +++ b/ja/built-in-nodes/VideoTriangleCFGGuidance.mdx @@ -5,24 +5,24 @@ sidebarTitle: "VideoTriangleCFGGuidance" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoTriangleCFGGuidance/ja.md) - 以下が日本語翻訳です。 VideoTriangleCFGGuidance ノードは、ビデオモデルに三角波状の分類器フリーガイダンス（CFG）スケーリングパターンを適用します。最小CFG値と元の条件付けスケールの間を振動する三角波関数を用いて、時間経過に伴い条件付けスケールを変化させます。これにより動的なガイダンスパターンが生成され、ビデオ生成の一貫性と品質向上に役立ちます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `モデル` | MODEL | はい | - | 三角CFGガイダンスを適用するビデオモデル | -| `最小cfg` | FLOAT | はい | 0.0 - 100.0 | 三角パターンにおける最小CFGスケール値（デフォルト: 1.0） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 三角CFGガイダンスを適用するビデオモデル | MODEL | はい | - | +| `最小cfg` | 三角パターンにおける最小CFGスケール値（デフォルト: 1.0） | FLOAT | はい | 0.0 - 100.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `モデル` | MODEL | 三角CFGガイダンスが適用された変更後のモデル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 三角CFGガイダンスが適用された変更後のモデル | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoTriangleCFGGuidance/ja.md) --- **Source fingerprint (SHA-256):** `0b854d78f32e265b1a4322cb11b231df33e6072611142537e0c8cff4e93db49a` diff --git a/ja/built-in-nodes/Vidu2ImageToVideoNode.mdx b/ja/built-in-nodes/Vidu2ImageToVideoNode.mdx index 8f6f069b4..98d7bf12d 100644 --- a/ja/built-in-nodes/Vidu2ImageToVideoNode.mdx +++ b/ja/built-in-nodes/Vidu2ImageToVideoNode.mdx @@ -5,23 +5,21 @@ sidebarTitle: "Vidu2ImageToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/ja.md) - ## 概要 Vidu2 画像から動画への生成ノードは、1枚の入力画像から動画シーケンスを作成します。指定されたVidu2モデルを使用し、オプションのテキストプロンプトに基づいてシーンをアニメーション化し、動画の長さ、解像度、および動きの強度を制御します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` | 動画生成に使用するVidu2モデルです。モデルによって速度と品質のトレードオフが異なります。 | -| `image` | IMAGE | はい | - | 生成される動画の開始フレームとして使用する画像です。1枚の画像のみ許可されます。 | -| `prompt` | STRING | いいえ | - | 動画生成のためのオプションのテキストプロンプトです（最大2000文字）。デフォルトは空文字列です。 | -| `duration` | INT | はい | 1～10 | 生成される動画の長さ（秒単位）です。デフォルトは5です。 | -| `seed` | INT | いいえ | 0～2147483647 | 再現可能な結果を得るための乱数生成のシード値です。デフォルトは1です。 | -| `resolution` | COMBO | はい | `"720p"`
`"1080p"` | 生成される動画の出力解像度です。このパラメータは高度な設定です。 | -| `movement_amplitude` | COMBO | はい | `"auto"`
`"small"`
`"medium"`
`"large"` | フレーム内のオブジェクトの動きの振幅です。このパラメータは高度な設定です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 動画生成に使用するVidu2モデルです。モデルによって速度と品質のトレードオフが異なります。 | COMBO | はい | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` | +| `image` | 生成される動画の開始フレームとして使用する画像です。1枚の画像のみ許可されます。 | IMAGE | はい | - | +| `prompt` | 動画生成のためのオプションのテキストプロンプトです（最大2000文字）。デフォルトは空文字列です。 | STRING | いいえ | - | +| `duration` | 生成される動画の長さ（秒単位）です。デフォルトは5です。 | INT | はい | 1～10 | +| `seed` | 再現可能な結果を得るための乱数生成のシード値です。デフォルトは1です。 | INT | いいえ | 0～2147483647 | +| `resolution` | 生成される動画の出力解像度です。このパラメータは高度な設定です。 | COMBO | はい | `"720p"`
`"1080p"` | +| `movement_amplitude` | フレーム内のオブジェクトの動きの振幅です。このパラメータは高度な設定です。 | COMBO | はい | `"auto"`
`"small"`
`"medium"`
`"large"` | **制約事項：** @@ -31,9 +29,11 @@ Vidu2 画像から動画への生成ノードは、1枚の入力画像から動 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `204f8d2b9edf17c2c180480f98a852718416a54725d92e5fec574b8517ada398` diff --git a/ja/built-in-nodes/Vidu2ReferenceVideoNode.mdx b/ja/built-in-nodes/Vidu2ReferenceVideoNode.mdx index 2940f70d8..718e0eecc 100644 --- a/ja/built-in-nodes/Vidu2ReferenceVideoNode.mdx +++ b/ja/built-in-nodes/Vidu2ReferenceVideoNode.mdx @@ -5,25 +5,23 @@ sidebarTitle: "Vidu2ReferenceVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md) Vidu2 参照動画生成ノードは、テキストプロンプトと複数の参照画像から動画を生成します。最大7つの被写体を定義でき、各被写体に独自の参照画像セットを設定できます。プロンプト内では `@subject{subject_id}` を使用して被写体を参照します。このノードは、再生時間、アスペクト比、動きの大きさを設定可能な動画を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `model` | COMBO | はい | `"viduq2"` | 動画生成に使用するAIモデル。 | -| `subjects` | AUTOGROW | はい | なし | 各被写体につき、最大3枚の参照画像を指定します（全被写体で合計7枚まで）。プロンプト内では `@subject{subject_id}` で参照します。 | -| `prompt` | STRING | はい | なし | 動画生成をガイドするテキスト説明。`audio` パラメータが有効な場合、このプロンプトに基づいて生成された音声とBGMが動画に含まれます。 | -| `audio` | BOOLEAN | いいえ | なし | 有効にすると、プロンプトに基づいて生成された音声とBGMが動画に含まれます（デフォルト: `False`）。 | -| `duration` | INT | いいえ | 1～10 | 生成される動画の長さ（秒）（デフォルト: `5`）。 | -| `seed` | INT | いいえ | 0～2147483647 | 生成のランダム性を制御し、再現可能な結果を得るための数値（デフォルト: `1`）。 | -| `aspect_ratio` | COMBO | いいえ | `"16:9"`
`"9:16"`
`"4:3"`
`"3:4"`
`"1:1"` | 動画フレームの形状。 | -| `resolution` | COMBO | いいえ | `"720p"`
`"1080p"` | 出力動画のピクセル解像度。 | -| `movement_amplitude` | COMBO | いいえ | `"auto"`
`"small"`
`"medium"`
`"large"` | フレーム内のオブジェクトの動きの大きさを制御します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 動画生成に使用するAIモデル。 | COMBO | はい | `"viduq2"` | +| `subjects` | 各被写体につき、最大3枚の参照画像を指定します（全被写体で合計7枚まで）。プロンプト内では `@subject{subject_id}` で参照します。 | AUTOGROW | はい | なし | +| `prompt` | 動画生成をガイドするテキスト説明。`audio` パラメータが有効な場合、このプロンプトに基づいて生成された音声とBGMが動画に含まれます。 | STRING | はい | なし | +| `audio` | 有効にすると、プロンプトに基づいて生成された音声とBGMが動画に含まれます（デフォルト: `False`）。 | BOOLEAN | いいえ | なし | +| `duration` | 生成される動画の長さ（秒）（デフォルト: `5`）。 | INT | いいえ | 1～10 | +| `seed` | 生成のランダム性を制御し、再現可能な結果を得るための数値（デフォルト: `1`）。 | INT | いいえ | 0～2147483647 | +| `aspect_ratio` | 動画フレームの形状。 | COMBO | いいえ | `"16:9"`
`"9:16"`
`"4:3"`
`"3:4"`
`"1:1"` | +| `resolution` | 出力動画のピクセル解像度。 | COMBO | いいえ | `"720p"`
`"1080p"` | +| `movement_amplitude` | フレーム内のオブジェクトの動きの大きさを制御します。 | COMBO | いいえ | `"auto"`
`"small"`
`"medium"`
`"large"` | **制約事項:** @@ -35,9 +33,11 @@ Vidu2 参照動画生成ノードは、テキストプロンプトと複数の ## 出力 -| 出力名 | データ型 | 説明 | -|--------|----------|------| -| `output` | VIDEO | 生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `3e02b05a0e374442a6ca4ce6a3dbc182b4059e19b5ed7dfc2794e036de7beffd` diff --git a/ja/built-in-nodes/Vidu2StartEndToVideoNode.mdx b/ja/built-in-nodes/Vidu2StartEndToVideoNode.mdx index 9419ad809..ab95f7d5b 100644 --- a/ja/built-in-nodes/Vidu2StartEndToVideoNode.mdx +++ b/ja/built-in-nodes/Vidu2StartEndToVideoNode.mdx @@ -5,30 +5,30 @@ sidebarTitle: "Vidu2StartEndToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/ja.md) - このノードは、提供された開始フレームと終了フレームの間を補間し、テキストプロンプトに従ってビデオを生成します。指定されたViduモデルを使用して、設定された時間にわたって2つの画像間のスムーズな遷移を作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` | ビデオ生成に使用するViduモデル。 | -| `first_frame` | IMAGE | はい | - | ビデオシーケンスの開始画像。単一の画像のみ許可されます。 | -| `end_frame` | IMAGE | はい | - | ビデオシーケンスの終了画像。単一の画像のみ許可されます。 | -| `prompt` | STRING | はい | - | ビデオ生成をガイドするテキスト説明（最大2000文字）。 | -| `duration` | INT | いいえ | 2 ～ 8 | 生成されるビデオの長さ（秒単位、デフォルト：5）。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 再現可能な結果を得るためにランダム生成を初期化する数値（デフォルト：1）。 | -| `resolution` | COMBO | いいえ | `"720p"`
`"1080p"` | 生成されるビデオの出力解像度。 | -| `movement_amplitude` | COMBO | いいえ | `"auto"`
`"small"`
`"medium"`
`"large"` | フレーム内のオブジェクトの動きの振幅。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | ビデオ生成に使用するViduモデル。 | COMBO | はい | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` | +| `first_frame` | ビデオシーケンスの開始画像。単一の画像のみ許可されます。 | IMAGE | はい | - | +| `end_frame` | ビデオシーケンスの終了画像。単一の画像のみ許可されます。 | IMAGE | はい | - | +| `prompt` | ビデオ生成をガイドするテキスト説明（最大2000文字）。 | STRING | はい | - | +| `duration` | 生成されるビデオの長さ（秒単位、デフォルト：5）。 | INT | いいえ | 2 ～ 8 | +| `seed` | 再現可能な結果を得るためにランダム生成を初期化する数値（デフォルト：1）。 | INT | いいえ | 0 ～ 2147483647 | +| `resolution` | 生成されるビデオの出力解像度。 | COMBO | いいえ | `"720p"`
`"1080p"` | +| `movement_amplitude` | フレーム内のオブジェクトの動きの振幅。 | COMBO | いいえ | `"auto"`
`"small"`
`"medium"`
`"large"` | **注記:** `first_frame` と `end_frame` の画像は、類似したアスペクト比を持つ必要があります。ノードは、それらのアスペクト比が0.8～1.25の相対範囲内にあることを検証します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成されたビデオファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成されたビデオファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `0a2a125fcb0a519e3aa98ed846f0c7bdc14644a27aaaab3953d55945f787de2a` diff --git a/ja/built-in-nodes/Vidu2TextToVideoNode.mdx b/ja/built-in-nodes/Vidu2TextToVideoNode.mdx index ea90bb58f..37edd0fbe 100644 --- a/ja/built-in-nodes/Vidu2TextToVideoNode.mdx +++ b/ja/built-in-nodes/Vidu2TextToVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Vidu2TextToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,21 +12,23 @@ Vidu2 Text-to-Video Generation ノードは、テキストによる説明から ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"viduq2"` | 動画生成に使用するAIモデルです。現在は1つのモデルのみ利用可能です。 | -| `prompt` | STRING | はい | - | 動画生成のためのテキストによる説明です。最大文字数は2000文字です。 | -| `duration` | INT | いいえ | 1～10 | 生成される動画の長さ（秒単位）です。スライダーで値を調整できます（デフォルト：5）。 | -| `seed` | INT | いいえ | 0～2147483647 | 生成のランダム性を制御する数値で、再現可能な結果を得るために使用します。生成後に制御可能です（デフォルト：1）。 | -| `aspect_ratio` | COMBO | いいえ | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | 動画の幅と高さの比率です。 | -| `resolution` | COMBO | いいえ | `"720p"`
`"1080p"` | 生成される動画のピクセル解像度です。これは高度なパラメータです。 | -| `background_music` | BOOLEAN | いいえ | - | 生成された動画にBGMを追加するかどうかを指定します（デフォルト：False）。これは高度なパラメータです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 動画生成に使用するAIモデルです。現在は1つのモデルのみ利用可能です。 | COMBO | はい | `"viduq2"` | +| `prompt` | 動画生成のためのテキストによる説明です。最大文字数は2000文字です。 | STRING | はい | - | +| `duration` | 生成される動画の長さ（秒単位）です。スライダーで値を調整できます（デフォルト：5）。 | INT | いいえ | 1～10 | +| `seed` | 生成のランダム性を制御する数値で、再現可能な結果を得るために使用します。生成後に制御可能です（デフォルト：1）。 | INT | いいえ | 0～2147483647 | +| `aspect_ratio` | 動画の幅と高さの比率です。 | COMBO | いいえ | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | +| `resolution` | 生成される動画のピクセル解像度です。これは高度なパラメータです。 | COMBO | いいえ | `"720p"`
`"1080p"` | +| `background_music` | 生成された動画にBGMを追加するかどうかを指定します（デフォルト：False）。これは高度なパラメータです。 | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `1e9e3629806e9b5a66d8f830d8ec33ef208a7a27b53caf43b44f7b746a85014b` diff --git a/ja/built-in-nodes/Vidu3ImageToVideoNode.mdx b/ja/built-in-nodes/Vidu3ImageToVideoNode.mdx index 6a58fc6e5..c5d1ea109 100644 --- a/ja/built-in-nodes/Vidu3ImageToVideoNode.mdx +++ b/ja/built-in-nodes/Vidu3ImageToVideoNode.mdx @@ -5,31 +5,31 @@ sidebarTitle: "Vidu3ImageToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md) Vidu Q3 画像から動画への生成ノードは、入力画像から動画シーケンスを作成します。Vidu Q3 モデルを使用して画像をアニメーション化し、必要に応じてテキストプロンプトでガイドし、動画ファイルを出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"viduq3-pro"`
`"viduq3-turbo"` | 動画生成に使用するモデルです。 | -| `model.resolution` | COMBO | はい | `"720p"`
`"1080p"`
`"2K"` (viduq3-proのみ) | 出力動画の解像度です。選択可能なオプションは選択したモデルによって異なります。 | -| `model.duration` | INT | はい | 1 ～ 16 | 出力動画の長さ（秒単位）です（デフォルト：5）。 | -| `model.audio` | BOOLEAN | はい | `True` / `False` | 有効にすると、音声（会話や効果音を含む）付きの動画を出力します（デフォルト：False）。 | -| `画像` | IMAGE | はい | - | 生成される動画の開始フレームとして使用される画像です。 | -| `プロンプト` | STRING | いいえ | - | 動画生成のためのオプションのテキストプロンプトです（最大2000文字）（デフォルト：空）。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成のランダム性を制御するためのシード値です（デフォルト：1）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画生成に使用するモデルです。 | COMBO | はい | `"viduq3-pro"`
`"viduq3-turbo"` | +| `model.resolution` | 出力動画の解像度です。選択可能なオプションは選択したモデルによって異なります。 | COMBO | はい | `"720p"`
`"1080p"`
`"2K"` (viduq3-proのみ) | +| `model.duration` | 出力動画の長さ（秒単位）です（デフォルト：5）。 | INT | はい | 1 ～ 16 | +| `model.audio` | 有効にすると、音声（会話や効果音を含む）付きの動画を出力します（デフォルト：False）。 | BOOLEAN | はい | `True` / `False` | +| `画像` | 生成される動画の開始フレームとして使用される画像です。 | IMAGE | はい | - | +| `プロンプト` | 動画生成のためのオプションのテキストプロンプトです（最大2000文字）（デフォルト：空）。 | STRING | いいえ | - | +| `シード` | 生成のランダム性を制御するためのシード値です（デフォルト：1）。 | INT | いいえ | 0 ～ 2147483647 | **注記：** `image` のアスペクト比は1:4から4:1（ポートレートからランドスケープ）の間である必要があります。`prompt` はオプションですが、2000文字を超えることはできません。`model.resolution` のオプションは選択した `model` によって異なります。`"viduq3-pro"` は `"720p"`、`"1080p"`、`"2K"` をサポートし、`"viduq3-turbo"` は `"720p"` と `"1080p"` をサポートします。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `1dd3929860ee4a04b761014fd2cf7e9e32f9171d8b18fe1e93f27d0905ca04ee` diff --git a/ja/built-in-nodes/Vidu3StartEndToVideoNode.mdx b/ja/built-in-nodes/Vidu3StartEndToVideoNode.mdx index e8bdce086..beadc9868 100644 --- a/ja/built-in-nodes/Vidu3StartEndToVideoNode.mdx +++ b/ja/built-in-nodes/Vidu3StartEndToVideoNode.mdx @@ -5,32 +5,32 @@ sidebarTitle: "Vidu3StartEndToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/ja.md) - 以下が翻訳結果です。 このノードは、開始フレームと終了フレームの間を補間し、テキストプロンプトに従ってビデオを生成します。Vidu Q3モデルを使用して2つの画像間のシームレスな遷移を作成し、指定された長さと解像度のビデオを生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"viduq3-pro"`
`"viduq3-turbo"` | ビデオ生成に使用するモデル。オプションを選択すると、`resolution`、`duration`、`audio`の追加設定パラメータが表示されます。 | -| `model.resolution` | COMBO | はい | `"720p"`
`"1080p"` | 出力ビデオの解像度。このパラメータは`モデル`を選択した後に表示されます。 | -| `model.duration` | INT | はい | 1 ～ 16 | 出力ビデオの長さ（秒単位、デフォルト：5）。このパラメータは`モデル`を選択した後に表示されます。 | -| `model.audio` | BOOLEAN | はい | `True` / `False` | 有効にすると、音声（会話や効果音を含む）付きのビデオを出力します（デフォルト：False）。このパラメータは`モデル`を選択した後に表示されます。 | -| `開始フレーム` | IMAGE | はい | - | ビデオシーケンスの開始画像。 | -| `終了フレーム` | IMAGE | はい | - | ビデオシーケンスの終了画像。 | -| `プロンプト` | STRING | はい | - | ビデオ生成をガイドするテキスト説明（最大2000文字）。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成のランダム性を制御するシード値（デフォルト：1）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | ビデオ生成に使用するモデル。オプションを選択すると、`resolution`、`duration`、`audio`の追加設定パラメータが表示されます。 | COMBO | はい | `"viduq3-pro"`
`"viduq3-turbo"` | +| `model.resolution` | 出力ビデオの解像度。このパラメータは`モデル`を選択した後に表示されます。 | COMBO | はい | `"720p"`
`"1080p"` | +| `model.duration` | 出力ビデオの長さ（秒単位、デフォルト：5）。このパラメータは`モデル`を選択した後に表示されます。 | INT | はい | 1 ～ 16 | +| `model.audio` | 有効にすると、音声（会話や効果音を含む）付きのビデオを出力します（デフォルト：False）。このパラメータは`モデル`を選択した後に表示されます。 | BOOLEAN | はい | `True` / `False` | +| `開始フレーム` | ビデオシーケンスの開始画像。 | IMAGE | はい | - | +| `終了フレーム` | ビデオシーケンスの終了画像。 | IMAGE | はい | - | +| `プロンプト` | ビデオ生成をガイドするテキスト説明（最大2000文字）。 | STRING | はい | - | +| `シード` | 生成のランダム性を制御するシード値（デフォルト：1）。 | INT | いいえ | 0 ～ 2147483647 | **注記：** 最適な結果を得るには、`first_frame`と`end_frame`の画像は類似したアスペクト比を持つ必要があります。2つの画像のアスペクト比は、互いに80%～125%の範囲内（相対的な近さが0.8～1.25）である必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video` | VIDEO | 生成されたビデオファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video` | 生成されたビデオファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `4a0a8d6657702d80278dc9239370683f408d7c051e91e8396939b7b81b87b4ed` diff --git a/ja/built-in-nodes/Vidu3TextToVideoNode.mdx b/ja/built-in-nodes/Vidu3TextToVideoNode.mdx index a4eddfbb7..62bcac3af 100644 --- a/ja/built-in-nodes/Vidu3TextToVideoNode.mdx +++ b/ja/built-in-nodes/Vidu3TextToVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Vidu3TextToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,23 +12,25 @@ Vidu Q3 テキスト・トゥ・ビデオ生成ノードは、テキスト記述 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"viduq3-pro"`
`"viduq3-turbo"` | 動画生成に使用するモデル。モデルを選択すると、アスペクト比、解像度、長さ、音声に関する追加設定パラメータが表示されます。 | -| `model.aspect_ratio` | COMBO | はい* | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | 出力動画のアスペクト比。このパラメータは、`モデル` が選択されたときに表示されます。 | -| `model.resolution` | COMBO | はい* | `"720p"`
`"1080p"` | 出力動画の解像度。このパラメータは、`モデル` が選択されたときに表示されます。 | -| `model.duration` | INT | はい* | 1 ～ 16 | 出力動画の長さ（秒単位、デフォルト：5）。このパラメータは、`モデル` が選択されたときに表示されます。 | -| `model.audio` | BOOLEAN | はい* | True/False | 有効にすると、音声（会話や効果音を含む）付きの動画を出力します（デフォルト：False）。このパラメータは、`モデル` が選択されたときに表示されます。 | -| `プロンプト` | STRING | はい | N/A | 動画生成のためのテキスト記述。最大長は2000文字です。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成のランダム性を制御するためのシード値（デフォルト：1）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画生成に使用するモデル。モデルを選択すると、アスペクト比、解像度、長さ、音声に関する追加設定パラメータが表示されます。 | COMBO | はい | `"viduq3-pro"`
`"viduq3-turbo"` | +| `model.aspect_ratio` | 出力動画のアスペクト比。このパラメータは、`モデル` が選択されたときに表示されます。 | COMBO | はい* | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | +| `model.resolution` | 出力動画の解像度。このパラメータは、`モデル` が選択されたときに表示されます。 | COMBO | はい* | `"720p"`
`"1080p"` | +| `model.duration` | 出力動画の長さ（秒単位、デフォルト：5）。このパラメータは、`モデル` が選択されたときに表示されます。 | INT | はい* | 1 ～ 16 | +| `model.audio` | 有効にすると、音声（会話や効果音を含む）付きの動画を出力します（デフォルト：False）。このパラメータは、`モデル` が選択されたときに表示されます。 | BOOLEAN | はい* | True/False | +| `プロンプト` | 動画生成のためのテキスト記述。最大長は2000文字です。 | STRING | はい | N/A | +| `シード` | 生成のランダム性を制御するためのシード値（デフォルト：1）。 | INT | いいえ | 0 ～ 2147483647 | *注：`model` を選択すると、`aspect_ratio`、`resolution`、`duration`、`audio` の各パラメータはその設定の一部となるため、必須となります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `video` | VIDEO | 生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `video` | 生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `a98b6c3093d659a5a4344c2c495063acf47a7922bf7d1fc851c3b8d8c0c87c5e` diff --git a/ja/built-in-nodes/ViduExtendVideoNode.mdx b/ja/built-in-nodes/ViduExtendVideoNode.mdx index ed59ffb18..2df4f25ff 100644 --- a/ja/built-in-nodes/ViduExtendVideoNode.mdx +++ b/ja/built-in-nodes/ViduExtendVideoNode.mdx @@ -5,31 +5,31 @@ sidebarTitle: "ViduExtendVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduExtendVideoNode/ja.md) - 以下が翻訳結果です。 ViduExtendVideoNode は、既存の動画にフレームを追加して長さを延長します。指定された AI モデルを使用し、ソース動画とオプションのテキストプロンプトに基づいて、シームレスな続きを生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"viduq2-pro"`
`"viduq2-turbo"` | 動画延長に使用する AI モデルです。モデルを選択すると、そのモデル固有の長さと解像度の設定が表示されます。 | -| `model.duration` | INT | はい | 1 ～ 7 | 延長後の動画の長さ（秒単位）です（デフォルト：4）。この設定はモデル選択後に表示されます。 | -| `model.resolution` | COMBO | はい | `"720p"`
`"1080p"` | 出力動画の解像度です。この設定はモデル選択後に表示されます。 | -| `動画` | VIDEO | はい | - | 延長するソース動画です。 | -| `プロンプト` | STRING | いいえ | - | 延長動画の内容をガイドするオプションのテキストプロンプトです（最大 2000 文字、デフォルト：空）。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成のランダム性を制御するシード値です（デフォルト：1）。 | -| `終了フレーム` | IMAGE | いいえ | - | 延長のターゲット終了フレームとして使用するオプションの画像です。指定する場合、アスペクト比は 1:4 から 4:1 の間で、寸法は少なくとも 128x128 ピクセルである必要があります。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画延長に使用する AI モデルです。モデルを選択すると、そのモデル固有の長さと解像度の設定が表示されます。 | COMBO | はい | `"viduq2-pro"`
`"viduq2-turbo"` | +| `model.duration` | 延長後の動画の長さ（秒単位）です（デフォルト：4）。この設定はモデル選択後に表示されます。 | INT | はい | 1 ～ 7 | +| `model.resolution` | 出力動画の解像度です。この設定はモデル選択後に表示されます。 | COMBO | はい | `"720p"`
`"1080p"` | +| `動画` | 延長するソース動画です。 | VIDEO | はい | - | +| `プロンプト` | 延長動画の内容をガイドするオプションのテキストプロンプトです（最大 2000 文字、デフォルト：空）。 | STRING | いいえ | - | +| `シード` | 生成のランダム性を制御するシード値です（デフォルト：1）。 | INT | いいえ | 0 ～ 2147483647 | +| `終了フレーム` | 延長のターゲット終了フレームとして使用するオプションの画像です。指定する場合、アスペクト比は 1:4 から 4:1 の間で、寸法は少なくとも 128x128 ピクセルである必要があります。 | IMAGE | いいえ | - | **注記：** ソース `video` の長さは 4 秒から 55 秒の間である必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 延長された映像を含む、新しく生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 延長された映像を含む、新しく生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduExtendVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `44b942413c8aed2fc0049386a31c441f6f870ba4220b0c439dfc436079229446` diff --git a/ja/built-in-nodes/ViduImageToVideoNode.mdx b/ja/built-in-nodes/ViduImageToVideoNode.mdx index ba8655498..9e51e83e3 100644 --- a/ja/built-in-nodes/ViduImageToVideoNode.mdx +++ b/ja/built-in-nodes/ViduImageToVideoNode.mdx @@ -5,21 +5,19 @@ sidebarTitle: "ViduImageToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduImageToVideoNode/ja.md) - Vidu 画像動画生成ノードは、開始画像とオプションのテキスト説明から短い動画を生成します。AIモデルを使用して、提供された画像フレームから続く動画コンテンツを生成し、結果の動画を返します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `viduq1` | モデル名（デフォルト：viduq1） | -| `画像` | IMAGE | はい | - | 生成される動画の開始フレームとして使用する画像 | -| `プロンプト` | STRING | いいえ | - | 動画生成のためのテキスト説明（デフォルト：空） | -| `秒数` | INT | いいえ | 5-5 | 出力動画の長さ（秒）（デフォルト：5、5秒固定） | -| `シード` | INT | いいえ | 0-2147483647 | 動画生成のシード値（0はランダム）（デフォルト：0） | -| `解像度` | COMBO | いいえ | `1080p` | 対応解像度はモデルと長さによって異なる場合があります（デフォルト：1080p） | -| `動きの振幅` | COMBO | いいえ | `auto`
`small`
`medium`
`large` | フレーム内のオブジェクトの動きの振幅（デフォルト：auto） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | モデル名（デフォルト：viduq1） | COMBO | はい | `viduq1` | +| `画像` | 生成される動画の開始フレームとして使用する画像 | IMAGE | はい | - | +| `プロンプト` | 動画生成のためのテキスト説明（デフォルト：空） | STRING | いいえ | - | +| `秒数` | 出力動画の長さ（秒）（デフォルト：5、5秒固定） | INT | いいえ | 5-5 | +| `シード` | 動画生成のシード値（0はランダム）（デフォルト：0） | INT | いいえ | 0-2147483647 | +| `解像度` | 対応解像度はモデルと長さによって異なる場合があります（デフォルト：1080p） | COMBO | いいえ | `1080p` | +| `動きの振幅` | フレーム内のオブジェクトの動きの振幅（デフォルト：auto） | COMBO | いいえ | `auto`
`small`
`medium`
`large` | **制約事項：** @@ -28,9 +26,11 @@ Vidu 画像動画生成ノードは、開始画像とオプションのテキス ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画出力 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画出力 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduImageToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `064b3efba8219770595e68a6607a6f8113d1be7c9f3863a4740ee5c3a146d91e` diff --git a/ja/built-in-nodes/ViduMultiFrameVideoNode.mdx b/ja/built-in-nodes/ViduMultiFrameVideoNode.mdx index 4ad8181cc..8bad59956 100644 --- a/ja/built-in-nodes/ViduMultiFrameVideoNode.mdx +++ b/ja/built-in-nodes/ViduMultiFrameVideoNode.mdx @@ -5,19 +5,17 @@ sidebarTitle: "ViduMultiFrameVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/ja.md) - このノードは、複数のキーフレーム間のトランジションを生成して動画を作成します。初期画像から開始し、ユーザーが定義した一連の終了画像とプロンプトを通じてアニメーションを生成し、単一の動画ファイルを出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -| :--- | :--- | :--- | :--- | :--- | -| `モデル` | COMBO | はい | `"viduq2-pro"`
`"viduq2-turbo"` | 動画生成に使用するViduモデル。 | -| `開始画像` | IMAGE | はい | - | 開始フレームの画像。アスペクト比は1:4から4:1の間である必要があります。 | -| `シード` | INT | いいえ | 0～2147483647 | 再現可能な結果を得るための乱数生成のシード値（デフォルト：1）。 | -| `解像度` | COMBO | はい | `"720p"`
`"1080p"` | 出力動画の解像度。 | -| `フレーム数` | DYNAMICCOMBO | はい | `"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"` | キーフレームトランジションの数（2～9）。値を選択すると、各フレームに必要な入力が動的に表示されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画生成に使用するViduモデル。 | COMBO | はい | `"viduq2-pro"`
`"viduq2-turbo"` | +| `開始画像` | 開始フレームの画像。アスペクト比は1:4から4:1の間である必要があります。 | IMAGE | はい | - | +| `シード` | 再現可能な結果を得るための乱数生成のシード値（デフォルト：1）。 | INT | いいえ | 0～2147483647 | +| `解像度` | 出力動画の解像度。 | COMBO | はい | `"720p"`
`"1080p"` | +| `フレーム数` | キーフレームトランジションの数（2～9）。値を選択すると、各フレームに必要な入力が動的に表示されます。 | DYNAMICCOMBO | はい | `"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"` | **フレーム入力（動的に表示されます）：** `frames`に値（例：「3」）を選択すると、各トランジションに必要な一連の入力がノードに表示されます。選択した数値に応じて、フレーム`i`（1から選択した数値まで）ごとに以下を指定する必要があります。 @@ -28,9 +26,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -| :--- | :--- | :--- | -| `output` | VIDEO | すべてのアニメーショントランジションを含む生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | すべてのアニメーショントランジションを含む生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `02ddbb1e041b6d9e6654ab6c3cc25f4c2e5bc1545d84a30624608edc85e51f96` diff --git a/ja/built-in-nodes/ViduReferenceVideoNode.mdx b/ja/built-in-nodes/ViduReferenceVideoNode.mdx index 59bd2a45c..cb3802866 100644 --- a/ja/built-in-nodes/ViduReferenceVideoNode.mdx +++ b/ja/built-in-nodes/ViduReferenceVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ViduReferenceVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduReferenceVideoNode/ja.md) - 以下が翻訳結果です。 --- @@ -15,16 +13,16 @@ Vidu 参照動画ノードは、複数の参照画像とテキストプロンプ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"viduq1"` | 動画生成に使用するモデル名（デフォルト: "viduq1"） | -| `images` | IMAGE | はい | - | 一貫性のある被写体で動画を生成するための参照画像（最大7枚） | -| `prompt` | STRING | はい | - | 動画生成のためのテキストによる説明 | -| `duration` | INT | いいえ | 5-5 | 出力動画の再生時間（秒）（デフォルト: 5） | -| `seed` | INT | いいえ | 0-2147483647 | 動画生成のシード値（0はランダム）（デフォルト: 0） | -| `aspect_ratio` | COMBO | いいえ | `"16:9"`
`"9:16"`
`"1:1"` | 出力動画のアスペクト比（デフォルト: "16:9"） | -| `resolution` | COMBO | いいえ | `"1080p"` | サポートされる値はモデルと再生時間によって異なる場合があります（デフォルト: "1080p"） | -| `movement_amplitude` | COMBO | いいえ | `"auto"`
`"small"`
`"medium"`
`"large"` | フレーム内のオブジェクトの動きの振幅（デフォルト: "auto"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 動画生成に使用するモデル名（デフォルト: "viduq1"） | COMBO | はい | `"viduq1"` | +| `images` | 一貫性のある被写体で動画を生成するための参照画像（最大7枚） | IMAGE | はい | - | +| `prompt` | 動画生成のためのテキストによる説明 | STRING | はい | - | +| `duration` | 出力動画の再生時間（秒）（デフォルト: 5） | INT | いいえ | 5-5 | +| `seed` | 動画生成のシード値（0はランダム）（デフォルト: 0） | INT | いいえ | 0-2147483647 | +| `aspect_ratio` | 出力動画のアスペクト比（デフォルト: "16:9"） | COMBO | いいえ | `"16:9"`
`"9:16"`
`"1:1"` | +| `resolution` | サポートされる値はモデルと再生時間によって異なる場合があります（デフォルト: "1080p"） | COMBO | いいえ | `"1080p"` | +| `movement_amplitude` | フレーム内のオブジェクトの動きの振幅（デフォルト: "auto"） | COMBO | いいえ | `"auto"`
`"small"`
`"medium"`
`"large"` | **制約と制限事項：** @@ -36,9 +34,11 @@ Vidu 参照動画ノードは、複数の参照画像とテキストプロンプ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 参照画像とプロンプトに基づいて生成された動画 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 参照画像とプロンプトに基づいて生成された動画 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduReferenceVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `11a7de2f50658467f63d284ef6b95d91dcdd39b4e6e5cea3b8d2f2a5d63a3020` diff --git a/ja/built-in-nodes/ViduStartEndToVideoNode.mdx b/ja/built-in-nodes/ViduStartEndToVideoNode.mdx index 1c2b759cd..68796fe8e 100644 --- a/ja/built-in-nodes/ViduStartEndToVideoNode.mdx +++ b/ja/built-in-nodes/ViduStartEndToVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ViduStartEndToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/ja.md) - 以下、ご依頼いただいた内容を翻訳ルールに従い日本語に翻訳いたします。 > このドキュメントはAIによって生成されました。誤りや改善のためのご提案がございましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md) @@ -15,24 +13,26 @@ Vidu Start End To Video Generation ノードは、開始フレームと終了フ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"viduq1"` | モデル名 | -| `first_frame` | IMAGE | はい | - | 開始フレーム | -| `end_frame` | IMAGE | はい | - | 終了フレーム | -| `prompt` | STRING | いいえ | - | 動画生成のためのテキストによる説明 | -| `duration` | INT | いいえ | 5-5 | 出力動画の長さ（秒単位）（デフォルト：5、5秒に固定） | -| `seed` | INT | いいえ | 0-2147483647 | 動画生成のためのシード値（0はランダム）（デフォルト：0） | -| `resolution` | COMBO | いいえ | `"1080p"` | サポートされる値はモデルと長さによって異なる場合があります（デフォルト："1080p"） | -| `movement_amplitude` | COMBO | いいえ | `"auto"`
`"small"`
`"medium"`
`"large"` | フレーム内のオブジェクトの動きの振幅（デフォルト："auto"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | モデル名 | COMBO | はい | `"viduq1"` | +| `first_frame` | 開始フレーム | IMAGE | はい | - | +| `end_frame` | 終了フレーム | IMAGE | はい | - | +| `prompt` | 動画生成のためのテキストによる説明 | STRING | いいえ | - | +| `duration` | 出力動画の長さ（秒単位）（デフォルト：5、5秒に固定） | INT | いいえ | 5-5 | +| `seed` | 動画生成のためのシード値（0はランダム）（デフォルト：0） | INT | いいえ | 0-2147483647 | +| `resolution` | サポートされる値はモデルと長さによって異なる場合があります（デフォルト："1080p"） | COMBO | いいえ | `"1080p"` | +| `movement_amplitude` | フレーム内のオブジェクトの動きの振幅（デフォルト："auto"） | COMBO | いいえ | `"auto"`
`"small"`
`"medium"`
`"large"` | **注意：** 開始フレームと終了フレームは互換性のあるアスペクト比を持つ必要があります（許容範囲：最小比率0.8、最大比率1.25で検証されます）。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイル | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `d859d67b3ff73977b95e3903b461509f933f9652fedc016e1cd362f6bef1b8dc` diff --git a/ja/built-in-nodes/ViduTextToVideoNode.mdx b/ja/built-in-nodes/ViduTextToVideoNode.mdx index f94dc9a5c..257864e0a 100644 --- a/ja/built-in-nodes/ViduTextToVideoNode.mdx +++ b/ja/built-in-nodes/ViduTextToVideoNode.mdx @@ -5,8 +5,6 @@ sidebarTitle: "ViduTextToVideoNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduTextToVideoNode/ja.md) - 以下は、ご依頼いただいた英語ドキュメントを日本語に翻訳したものです。 --- @@ -15,23 +13,25 @@ Vidu Text To Video Generation ノードは、テキストの説明から動画 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `viduq1` | モデル名 | -| `prompt` | STRING | はい | - | 動画生成のためのテキストによる説明 | -| `duration` | INT | いいえ | 5-5 | 出力動画の再生時間（秒）（デフォルト：5） | -| `seed` | INT | いいえ | 0-2147483647 | 動画生成のシード値（0はランダム）（デフォルト：0） | -| `aspect_ratio` | COMBO | いいえ | `16:9`
`9:16`
`1:1` | 出力動画のアスペクト比 | -| `resolution` | COMBO | いいえ | `1080p` | 対応する値はモデルと再生時間によって異なる場合があります | -| `movement_amplitude` | COMBO | いいえ | `auto`
`small`
`medium`
`large` | フレーム内のオブジェクトの動きの振幅 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | モデル名 | COMBO | はい | `viduq1` | +| `prompt` | 動画生成のためのテキストによる説明 | STRING | はい | - | +| `duration` | 出力動画の再生時間（秒）（デフォルト：5） | INT | いいえ | 5-5 | +| `seed` | 動画生成のシード値（0はランダム）（デフォルト：0） | INT | いいえ | 0-2147483647 | +| `aspect_ratio` | 出力動画のアスペクト比 | COMBO | いいえ | `16:9`
`9:16`
`1:1` | +| `resolution` | 対応する値はモデルと再生時間によって異なる場合があります | COMBO | いいえ | `1080p` | +| `movement_amplitude` | フレーム内のオブジェクトの動きの振幅 | COMBO | いいえ | `auto`
`small`
`medium`
`large` | **注記：** `prompt` フィールドは必須であり、空にすることはできません。`duration` パラメータは現在 5 秒に固定されています。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | テキストプロンプトに基づいて生成された動画 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | テキストプロンプトに基づいて生成された動画 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduTextToVideoNode/ja.md) --- **Source fingerprint (SHA-256):** `0d331d3eab8a4af9c90831f3f8fd8ae34aa0c393142cb6f89404edc94024d95f` diff --git a/ja/built-in-nodes/VoxelToMesh.mdx b/ja/built-in-nodes/VoxelToMesh.mdx index 8197ff8d3..9ab742c36 100644 --- a/ja/built-in-nodes/VoxelToMesh.mdx +++ b/ja/built-in-nodes/VoxelToMesh.mdx @@ -5,24 +5,24 @@ sidebarTitle: "VoxelToMesh" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMesh/ja.md) - 以下が翻訳結果です。 VoxelToMeshBasic ノードは、指定されたしきい値で表面を抽出することにより、3D ボクセルデータをメッシュジオメトリに変換します。入力内の各ボクセルグリッドを処理し、3D メッシュ表現を構成する頂点と面を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `voxel` | VOXEL | はい | - | メッシュジオメトリに変換する入力ボクセルデータ | -| `しきい値` | FLOAT | はい | -1.0 ～ 1.0 | 表面抽出のしきい値（デフォルト：0.6） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `voxel` | メッシュジオメトリに変換する入力ボクセルデータ | VOXEL | はい | - | +| `しきい値` | 表面抽出のしきい値（デフォルト：0.6） | FLOAT | はい | -1.0 ～ 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MESH` | MESH | すべての入力ボクセルグリッドから積み重ねられた頂点と面を含む、生成された3Dメッシュ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MESH` | すべての入力ボクセルグリッドから積み重ねられた頂点と面を含む、生成された3Dメッシュ | MESH | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMesh/ja.md) --- **Source fingerprint (SHA-256):** `36df962c84c99a83f243a59b6387874e42e7d05323bd84079dbab112d2f1b67c` diff --git a/ja/built-in-nodes/VoxelToMeshBasic.mdx b/ja/built-in-nodes/VoxelToMeshBasic.mdx index c2ad147c5..202d67ab2 100644 --- a/ja/built-in-nodes/VoxelToMeshBasic.mdx +++ b/ja/built-in-nodes/VoxelToMeshBasic.mdx @@ -5,24 +5,24 @@ sidebarTitle: "VoxelToMeshBasic" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMeshBasic/ja.md) - 以下が翻訳です。 VoxelToMeshBasic ノードは、3D ボクセルデータをメッシュジオメトリに変換します。ボクセルボリュームにしきい値を適用し、ボリュームのどの部分が結果のメッシュでソリッドサーフェスになるかを決定します。このノードは、3D レンダリングやモデリングに使用できる、頂点と面を含む完全なメッシュ構造を出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ボクセル` | VOXEL | はい | - | メッシュに変換する 3D ボクセルデータ | -| `閾値` | FLOAT | はい | -1.0 ～ 1.0 | どのボクセルがメッシュサーフェスの一部になるかを決定するしきい値（デフォルト: 0.6） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ボクセル` | メッシュに変換する 3D ボクセルデータ | VOXEL | はい | - | +| `閾値` | どのボクセルがメッシュサーフェスの一部になるかを決定するしきい値（デフォルト: 0.6） | FLOAT | はい | -1.0 ～ 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `MESH` | MESH | 頂点と面を含む生成された 3D メッシュ | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `MESH` | 頂点と面を含む生成された 3D メッシュ | MESH | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMeshBasic/ja.md) --- **Source fingerprint (SHA-256):** `36df962c84c99a83f243a59b6387874e42e7d05323bd84079dbab112d2f1b67c` diff --git a/ja/built-in-nodes/Wan22FunControlToVideo.mdx b/ja/built-in-nodes/Wan22FunControlToVideo.mdx index d83235b33..818161bd6 100644 --- a/ja/built-in-nodes/Wan22FunControlToVideo.mdx +++ b/ja/built-in-nodes/Wan22FunControlToVideo.mdx @@ -5,35 +5,35 @@ sidebarTitle: "Wan22FunControlToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22FunControlToVideo/ja.md) - このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22FunControlToVideo/en.md) Wan22FunControlToVideo ノードは、Wan ビデオモデルアーキテクチャを使用してビデオ生成のための条件付けと潜在表現を準備します。ポジティブおよびネガティブな条件付け入力と、オプションの参照画像および制御ビデオを処理し、ビデオ合成に必要な潜在空間表現を作成します。このノードは、空間スケーリングと時間次元を処理して、ビデオモデルに適した条件付けデータを生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | ビデオ生成をガイドするためのポジティブ条件付け入力 | -| `ネガティブ` | CONDITIONING | はい | - | ビデオ生成をガイドするためのネガティブ条件付け入力 | -| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするために使用されるVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位、デフォルト：832、ステップ：16） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位、デフォルト：480、ステップ：16） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | ビデオシーケンスのフレーム数（デフォルト：81、ステップ：4） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | 生成するビデオシーケンスの数（デフォルト：1） | -| `参照画像` | IMAGE | いいえ | - | 視覚的なガイダンスを提供するためのオプションの参照画像 | -| `制御動画` | IMAGE | いいえ | - | 生成プロセスをガイドするためのオプションの制御ビデオ | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | ビデオ生成をガイドするためのポジティブ条件付け入力 | CONDITIONING | はい | - | +| `ネガティブ` | ビデオ生成をガイドするためのネガティブ条件付け入力 | CONDITIONING | はい | - | +| `vae` | 画像を潜在空間にエンコードするために使用されるVAEモデル | VAE | はい | - | +| `幅` | 出力ビデオの幅（ピクセル単位、デフォルト：832、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力ビデオの高さ（ピクセル単位、デフォルト：480、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | ビデオシーケンスのフレーム数（デフォルト：81、ステップ：4） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 生成するビデオシーケンスの数（デフォルト：1） | INT | はい | 1 ～ 4096 | +| `参照画像` | 視覚的なガイダンスを提供するためのオプションの参照画像 | IMAGE | いいえ | - | +| `制御動画` | 生成プロセスをガイドするためのオプションの制御ビデオ | IMAGE | いいえ | - | **注記：** `length` パラメータは4フレーム単位で処理され、ノードは潜在空間の時間スケーリングを自動的に処理します。`ref_image` が提供されると、参照潜在変数を介して条件付けに影響を与えます。`control_video` が提供されると、条件付けで使用される連結潜在表現に直接影響を与えます。`start_image` パラメータはこのノードのスキーマでは入力として公開されていませんが、実行ロジックで参照されています。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 連結潜在変数、マスク、およびオプションの参照潜在変数を含む、ビデオ固有の潜在データで変更されたポジティブ条件付け | -| `潜在変数` | CONDITIONING | 連結潜在変数、マスク、およびオプションの参照潜在変数を含む、ビデオ固有の潜在データで変更されたネガティブ条件付け | -| `latent` | LATENT | バッチサイズ、潜在チャンネル数、および空間/時間スケーリングに基づいて、ビデオ生成に適した次元を持つ空の潜在テンソル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 連結潜在変数、マスク、およびオプションの参照潜在変数を含む、ビデオ固有の潜在データで変更されたポジティブ条件付け | CONDITIONING | +| `潜在変数` | 連結潜在変数、マスク、およびオプションの参照潜在変数を含む、ビデオ固有の潜在データで変更されたネガティブ条件付け | CONDITIONING | +| `latent` | バッチサイズ、潜在チャンネル数、および空間/時間スケーリングに基づいて、ビデオ生成に適した次元を持つ空の潜在テンソル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22FunControlToVideo/ja.md) --- **Source fingerprint (SHA-256):** `8b24058f06aa9f779371a402c41cffc95d13ad0131d23d1438067d77755c73e2` diff --git a/ja/built-in-nodes/Wan22ImageToVideoLatent.mdx b/ja/built-in-nodes/Wan22ImageToVideoLatent.mdx index 4535b6460..02a5c53f9 100644 --- a/ja/built-in-nodes/Wan22ImageToVideoLatent.mdx +++ b/ja/built-in-nodes/Wan22ImageToVideoLatent.mdx @@ -5,31 +5,31 @@ sidebarTitle: "Wan22ImageToVideoLatent" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/ja.md) - このドキュメントは AI によって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/en.md) **Wan22ImageToVideoLatent** ノードは、画像からビデオの潜在表現を生成します。指定された寸法で空白のビデオ潜在空間を作成し、オプションで開始画像シーケンスを先頭フレームにエンコードできます。開始画像が提供されると、画像を潜在空間にエンコードし、インペイント領域に対応するノイズマスクを生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするために使用されるVAEモデル | -| `幅` | INT | はい | 32 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位）（デフォルト：1280、ステップ：32） | -| `高さ` | INT | はい | 32 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位）（デフォルト：704、ステップ：32） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | ビデオシーケンスのフレーム数（デフォルト：49、ステップ：4） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | 生成するバッチ数（デフォルト：1） | -| `開始画像` | IMAGE | いいえ | - | ビデオ潜在表現にエンコードするオプションの開始画像シーケンス | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `vae` | 画像を潜在空間にエンコードするために使用されるVAEモデル | VAE | はい | - | +| `幅` | 出力ビデオの幅（ピクセル単位）（デフォルト：1280、ステップ：32） | INT | はい | 32 ～ MAX_RESOLUTION | +| `高さ` | 出力ビデオの高さ（ピクセル単位）（デフォルト：704、ステップ：32） | INT | はい | 32 ～ MAX_RESOLUTION | +| `長さ` | ビデオシーケンスのフレーム数（デフォルト：49、ステップ：4） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 生成するバッチ数（デフォルト：1） | INT | はい | 1 ～ 4096 | +| `開始画像` | ビデオ潜在表現にエンコードするオプションの開始画像シーケンス | IMAGE | いいえ | - | **注記：** `start_image` が提供されると、ノードは画像シーケンスを潜在空間の先頭フレームにエンコードし、対応するノイズマスクを生成します。`width` と `height` パラメータは、適切な潜在空間の次元を得るために16で割り切れる必要があります。`length` パラメータはビデオ潜在表現のフレーム数を決定します。潜在空間の時間次元は `((length - 1) // 4) + 1` として計算されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `samples` | LATENT | 生成されたビデオ潜在表現 | -| `noise_mask` | LATENT | 生成中にどの領域をノイズ除去すべきかを示すノイズマスク | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `samples` | 生成されたビデオ潜在表現 | LATENT | +| `noise_mask` | 生成中にどの領域をノイズ除去すべきかを示すノイズマスク | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/ja.md) --- **Source fingerprint (SHA-256):** `0f27e20bcc63f0dd224cda0fa26ee676c42898ac74fcfbe0a2b591def933689c` diff --git a/ja/built-in-nodes/Wan2ImageToVideoApi.mdx b/ja/built-in-nodes/Wan2ImageToVideoApi.mdx index 2703e0996..432a08980 100644 --- a/ja/built-in-nodes/Wan2ImageToVideoApi.mdx +++ b/ja/built-in-nodes/Wan2ImageToVideoApi.mdx @@ -5,35 +5,35 @@ sidebarTitle: "Wan2ImageToVideoApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/ja.md) - 以下が翻訳です。 Wan 2.7 Image to Video ノードは、最初のフレーム画像から動画を生成します。オプションで最終フレーム画像を指定して2つのフレーム間の遷移を作成したり、オーディオファイルを指定して動画の動きやタイミングをガイドすることもできます。このノードは、テキストによる説明に基づいてシーンをアニメーション化するためにAIモデルを使用します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"wan2.7-i2v"` | 動画生成に使用するAIモデルです。 | -| `model.prompt` | STRING | はい | - | 動画に含めたい要素や視覚的特徴をテキストで記述します。英語と中国語に対応しています。 | -| `model.negative_prompt` | STRING | はい | - | モデルに避けてほしい要素や特徴をテキストで記述します。 | -| `model.resolution` | COMBO | はい | `"720P"`
`"1080P"` | 出力動画の解像度です。 | -| `model.duration` | INT | はい | 2 ～ 15 | 生成する動画の長さ（秒単位）です（デフォルト：5）。 | -| `first_frame` | IMAGE | はい | - | 動画の最初のフレームとして使用する画像です。出力動画のアスペクト比はこの画像から取得されます。 | -| `last_frame` | IMAGE | いいえ | - | 最終フレームとして使用するオプションの画像です。指定すると、モデルは最初のフレームからこの最終フレームへ遷移する動画を生成します。 | -| `audio` | AUDIO | いいえ | - | 動画生成をガイドするためのオプションのオーディオファイルです。リップシンクやビートに合わせた動きに役立ちます。長さは2秒以上30秒以下である必要があります。指定しない場合、モデルは一致する背景音楽や効果音を生成します。 | -| `seed` | INT | はい | 0 ～ 2147483647 | 生成のランダム性を制御するシード値です（デフォルト：0）。 | -| `prompt_extend` | BOOLEAN | はい | - | 有効にすると、ノードはAI支援を使用してテキストプロンプトを強化します（デフォルト：True）。これは高度な設定です。 | -| `watermark` | BOOLEAN | はい | - | 有効にすると、最終動画にAI生成の透かしが追加されます（デフォルト：False）。これは高度な設定です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 動画生成に使用するAIモデルです。 | COMBO | はい | `"wan2.7-i2v"` | +| `model.prompt` | 動画に含めたい要素や視覚的特徴をテキストで記述します。英語と中国語に対応しています。 | STRING | はい | - | +| `model.negative_prompt` | モデルに避けてほしい要素や特徴をテキストで記述します。 | STRING | はい | - | +| `model.resolution` | 出力動画の解像度です。 | COMBO | はい | `"720P"`
`"1080P"` | +| `model.duration` | 生成する動画の長さ（秒単位）です（デフォルト：5）。 | INT | はい | 2 ～ 15 | +| `first_frame` | 動画の最初のフレームとして使用する画像です。出力動画のアスペクト比はこの画像から取得されます。 | IMAGE | はい | - | +| `last_frame` | 最終フレームとして使用するオプションの画像です。指定すると、モデルは最初のフレームからこの最終フレームへ遷移する動画を生成します。 | IMAGE | いいえ | - | +| `audio` | 動画生成をガイドするためのオプションのオーディオファイルです。リップシンクやビートに合わせた動きに役立ちます。長さは2秒以上30秒以下である必要があります。指定しない場合、モデルは一致する背景音楽や効果音を生成します。 | AUDIO | いいえ | - | +| `seed` | 生成のランダム性を制御するシード値です（デフォルト：0）。 | INT | はい | 0 ～ 2147483647 | +| `prompt_extend` | 有効にすると、ノードはAI支援を使用してテキストプロンプトを強化します（デフォルト：True）。これは高度な設定です。 | BOOLEAN | はい | - | +| `watermark` | 有効にすると、最終動画にAI生成の透かしが追加されます（デフォルト：False）。これは高度な設定です。 | BOOLEAN | はい | - | **注意:** `audio` 入力には長さの制約があります。指定する場合、オーディオファイルは2秒以上30秒以下である必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/ja.md) --- **Source fingerprint (SHA-256):** `ccd18dca3b191f2cbe64b6c2b941a7efcf281e4f327329d932cec27fd8234133` diff --git a/ja/built-in-nodes/Wan2ReferenceVideoApi.mdx b/ja/built-in-nodes/Wan2ReferenceVideoApi.mdx index 701d181e5..22610288d 100644 --- a/ja/built-in-nodes/Wan2ReferenceVideoApi.mdx +++ b/ja/built-in-nodes/Wan2ReferenceVideoApi.mdx @@ -5,24 +5,22 @@ sidebarTitle: "Wan2ReferenceVideoApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/ja.md) - このノードは、提供された参照素材に基づいて、人物やオブジェクトを特徴とする動画を生成します。Wan 2.7モデルを使用してテキストプロンプトから動画を作成し、単一キャラクターのパフォーマンスや複数キャラクターのインタラクションをサポートします。生成を機能させるには、少なくとも1つの参照動画または画像を提供する必要があります。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"wan2.7-r2v"` | 動画生成に使用する特定のモデルです。 | -| `model.prompt` | STRING | はい | - | 動画を説明するプロンプトです。参照キャラクターを指定するには、'character1'や'character2'などの識別子を使用します。 | -| `model.negative_prompt` | STRING | いいえ | - | 生成される動画で避けたい内容を説明するネガティブプロンプトです（デフォルト：空）。 | -| `model.resolution` | COMBO | はい | `"720P"`
`"1080P"` | 出力動画の解像度です。 | -| `model.ratio` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | 出力動画のアスペクト比です。 | -| `model.duration` | INT | はい | 2 ～ 10 | 生成される動画の長さ（秒単位）です（デフォルト：5）。 | -| `model.reference_videos` | VIDEO | いいえ | - | 参照動画のリストです。最大3つの動画を追加できます。 | -| `model.reference_images` | IMAGE | いいえ | - | 参照画像のリストです。最大5つの画像を追加できます。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 生成に使用するシード値で、出力のランダム性を制御するのに役立ちます（デフォルト：0）。 | -| `watermark` | BOOLEAN | いいえ | - | 結果にAI生成の透かしを追加するかどうかです（デフォルト：False）。これは高度な設定です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 動画生成に使用する特定のモデルです。 | COMBO | はい | `"wan2.7-r2v"` | +| `model.prompt` | 動画を説明するプロンプトです。参照キャラクターを指定するには、'character1'や'character2'などの識別子を使用します。 | STRING | はい | - | +| `model.negative_prompt` | 生成される動画で避けたい内容を説明するネガティブプロンプトです（デフォルト：空）。 | STRING | いいえ | - | +| `model.resolution` | 出力動画の解像度です。 | COMBO | はい | `"720P"`
`"1080P"` | +| `model.ratio` | 出力動画のアスペクト比です。 | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `model.duration` | 生成される動画の長さ（秒単位）です（デフォルト：5）。 | INT | はい | 2 ～ 10 | +| `model.reference_videos` | 参照動画のリストです。最大3つの動画を追加できます。 | VIDEO | いいえ | - | +| `model.reference_images` | 参照画像のリストです。最大5つの画像を追加できます。 | IMAGE | いいえ | - | +| `seed` | 生成に使用するシード値で、出力のランダム性を制御するのに役立ちます（デフォルト：0）。 | INT | いいえ | 0 ～ 2147483647 | +| `watermark` | 結果にAI生成の透かしを追加するかどうかです（デフォルト：False）。これは高度な設定です。 | BOOLEAN | いいえ | - | **重要な制約事項：** * `model.reference_videos`または`model.reference_images`の入力に、少なくとも1つの参照動画または参照画像を提供する必要があります。 @@ -30,9 +28,11 @@ mode: wide ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/ja.md) --- **Source fingerprint (SHA-256):** `f28a765e310410fc62241e11dbfe25562c7ae16e8e6ffbfb004face7a7e2b727` diff --git a/ja/built-in-nodes/Wan2TextToVideoApi.mdx b/ja/built-in-nodes/Wan2TextToVideoApi.mdx index b25ece16a..37a7b67d8 100644 --- a/ja/built-in-nodes/Wan2TextToVideoApi.mdx +++ b/ja/built-in-nodes/Wan2TextToVideoApi.mdx @@ -5,32 +5,32 @@ sidebarTitle: "Wan2TextToVideoApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2TextToVideoApi/ja.md) - このノードは、Wan 2.7モデルを使用してテキスト記述から動画を生成します。リクエストを外部APIに送信し、プロンプトを処理して動画ファイルを返します。必要に応じて、動画の動きやタイミングに影響を与えるオーディオクリップを提供することもできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"wan2.7-t2v"` | 動画生成に使用する特定のモデルです。 | -| `model.prompt` | STRING | はい | - | 動画に含めたい要素や視覚的特徴の説明です。英語と中国語に対応しています。 | -| `model.negative_prompt` | STRING | いいえ | - | 生成される動画に含めたくない要素や特徴の説明です。 | -| `model.resolution` | COMBO | はい | `"720P"`
`"1080P"` | 出力動画の解像度です。 | -| `model.ratio` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | 出力動画のアスペクト比です。 | -| `model.duration` | INT | はい | 2～15 | 動画の長さ（秒単位）です（デフォルト：5）。 | -| `オーディオ` | AUDIO | いいえ | - | 動画生成を駆動するためのオーディオファイルです。リップシンクやビートに合わせた動きなどに使用します。指定しない場合、モデルは一致するBGMや効果音を自動生成します。オーディオの長さは1.5秒から60秒の間である必要があります。 | -| `シード値` | INT | いいえ | 0～2147483647 | 生成のランダム性を制御し、再現可能な結果を保証するための数値です（デフォルト：0）。 | -| `プロンプト拡張` | BOOLEAN | いいえ | - | 有効にすると、AIアシスタントによってプロンプトが拡張されます（デフォルト：True）。 | -| `ウォーターマーク` | BOOLEAN | いいえ | - | 有効にすると、結果にAI生成の透かしが追加されます（デフォルト：False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 動画生成に使用する特定のモデルです。 | COMBO | はい | `"wan2.7-t2v"` | +| `model.prompt` | 動画に含めたい要素や視覚的特徴の説明です。英語と中国語に対応しています。 | STRING | はい | - | +| `model.negative_prompt` | 生成される動画に含めたくない要素や特徴の説明です。 | STRING | いいえ | - | +| `model.resolution` | 出力動画の解像度です。 | COMBO | はい | `"720P"`
`"1080P"` | +| `model.ratio` | 出力動画のアスペクト比です。 | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `model.duration` | 動画の長さ（秒単位）です（デフォルト：5）。 | INT | はい | 2～15 | +| `オーディオ` | 動画生成を駆動するためのオーディオファイルです。リップシンクやビートに合わせた動きなどに使用します。指定しない場合、モデルは一致するBGMや効果音を自動生成します。オーディオの長さは1.5秒から60秒の間である必要があります。 | AUDIO | いいえ | - | +| `シード値` | 生成のランダム性を制御し、再現可能な結果を保証するための数値です（デフォルト：0）。 | INT | いいえ | 0～2147483647 | +| `プロンプト拡張` | 有効にすると、AIアシスタントによってプロンプトが拡張されます（デフォルト：True）。 | BOOLEAN | いいえ | - | +| `ウォーターマーク` | 有効にすると、結果にAI生成の透かしが追加されます（デフォルト：False）。 | BOOLEAN | いいえ | - | **注記:** `audio`パラメータはオプションです。指定する場合、その長さは1.5秒から60秒の間である必要があります。省略した場合、モデルは自動的にオーディオを生成します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成された動画ファイルです。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2TextToVideoApi/ja.md) --- **Source fingerprint (SHA-256):** `ce8a2f4e53b2bce879f143c66f6078fd81c6308e2822cb486b1cf8e178a6f58c` diff --git a/ja/built-in-nodes/Wan2VideoContinuationApi.mdx b/ja/built-in-nodes/Wan2VideoContinuationApi.mdx index b26d71195..c99b1a2cd 100644 --- a/ja/built-in-nodes/Wan2VideoContinuationApi.mdx +++ b/ja/built-in-nodes/Wan2VideoContinuationApi.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Wan2VideoContinuationApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/ja.md) - 以下は、指定された英語ドキュメントを日本語に翻訳したものです。 --- @@ -15,26 +13,28 @@ Wan 2.7 Video Continuation ノードは、入力ビデオクリップの終端 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -| :--- | :--- | :--- | :--- | :--- | -| `model` | COMBO | はい | `"wan2.7-i2v"` | 使用するビデオ生成モデルです。 | -| `model.prompt` | STRING | はい | - | 要素と視覚的特徴を説明するプロンプトです。英語と中国語に対応しています。（デフォルト：空文字列） | -| `model.negative_prompt` | STRING | はい | - | 避けるべき内容を説明するネガティブプロンプトです。（デフォルト：空文字列） | -| `model.resolution` | COMBO | はい | `"720P"`
`"1080P"` | 出力ビデオの解像度です。 | -| `model.duration` | INT | はい | 2 ～ 15 | 出力の合計時間（秒）です。モデルは、入力クリップ後の残り時間を埋めるように継続部分を生成します。（デフォルト：5） | -| `最初のクリップ` | VIDEO | はい | - | 継続元の入力ビデオです。長さは2秒～10秒です。出力のアスペクト比はこのビデオから取得されます。 | -| `ラストフレーム` | IMAGE | いいえ | - | 最終フレームの画像です。継続部分はこのフレームに向かって遷移します。 | -| `シード値` | INT | はい | 0 ～ 2147483647 | 生成に使用するシード値です。（デフォルト：0） | -| `プロンプト拡張` | BOOLEAN | はい | - | AI支援によりプロンプトを拡張するかどうかです。（デフォルト：True） | -| `ウォーターマーク` | BOOLEAN | はい | - | 結果にAI生成の透かしを追加するかどうかです。（デフォルト：False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 使用するビデオ生成モデルです。 | COMBO | はい | `"wan2.7-i2v"` | +| `model.prompt` | 要素と視覚的特徴を説明するプロンプトです。英語と中国語に対応しています。（デフォルト：空文字列） | STRING | はい | - | +| `model.negative_prompt` | 避けるべき内容を説明するネガティブプロンプトです。（デフォルト：空文字列） | STRING | はい | - | +| `model.resolution` | 出力ビデオの解像度です。 | COMBO | はい | `"720P"`
`"1080P"` | +| `model.duration` | 出力の合計時間（秒）です。モデルは、入力クリップ後の残り時間を埋めるように継続部分を生成します。（デフォルト：5） | INT | はい | 2 ～ 15 | +| `最初のクリップ` | 継続元の入力ビデオです。長さは2秒～10秒です。出力のアスペクト比はこのビデオから取得されます。 | VIDEO | はい | - | +| `ラストフレーム` | 最終フレームの画像です。継続部分はこのフレームに向かって遷移します。 | IMAGE | いいえ | - | +| `シード値` | 生成に使用するシード値です。（デフォルト：0） | INT | はい | 0 ～ 2147483647 | +| `プロンプト拡張` | AI支援によりプロンプトを拡張するかどうかです。（デフォルト：True） | BOOLEAN | はい | - | +| `ウォーターマーク` | 結果にAI生成の透かしを追加するかどうかです。（デフォルト：False） | BOOLEAN | はい | - | **注記：** `first_clip` 入力ビデオの長さは2秒以上10秒以下である必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -| :--- | :--- | :--- | -| `output` | VIDEO | 生成されたビデオの継続部分です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 生成されたビデオの継続部分です。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/ja.md) --- **Source fingerprint (SHA-256):** `5e9d2c7800603660f5f994d125e1e32f2b310234c4b6a24d502c764d91be49e8` diff --git a/ja/built-in-nodes/Wan2VideoEditApi.mdx b/ja/built-in-nodes/Wan2VideoEditApi.mdx index d5b6ad122..172cdc731 100644 --- a/ja/built-in-nodes/Wan2VideoEditApi.mdx +++ b/ja/built-in-nodes/Wan2VideoEditApi.mdx @@ -5,26 +5,24 @@ sidebarTitle: "Wan2VideoEditApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoEditApi/ja.md) - 以下が翻訳結果です。 Wan2VideoEditApi ノードは、Wan 2.7 モデルを使用して、テキスト指示、参照画像、またはスタイル転送に基づいて動画を編集します。入力動画を処理し、解像度、長さ、アスペクト比などの指定されたパラメータに従って新しい動画を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"wan2.7-videoedit"` | 動画編集に使用するモデルです。 | -| `model.prompt` | STRING | はい | - | 編集指示またはスタイル転送の要件です。（デフォルト：空文字列） | -| `model.resolution` | COMBO | はい | `"720P"`
`"1080P"` | 出力動画の解像度です。 | -| `model.ratio` | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | 出力動画のアスペクト比です。変更しない場合、入力動画の比率に近似します。 | -| `model.duration` | COMBO | はい | `"auto"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"`
`"10"` | 出力の長さ（秒）です。"auto" は入力動画の長さに合わせます。特定の値を指定すると、動画の先頭から切り取られます。（デフォルト："auto"） | -| `model.reference_images` | IMAGE | いいえ | - | 編集をガイドするための最大4枚の参照画像のリストです。 | -| `ビデオ` | VIDEO | はい | - | 編集する動画です。 | -| `シード値` | INT | いいえ | 0 ～ 2147483647 | 生成に使用するシード値です。（デフォルト：0） | -| `オーディオ設定` | COMBO | いいえ | `"auto"`
`"origin"` | "auto"：モデルがプロンプトに基づいてオーディオを再生成するかどうかを判断します。"origin"：入力動画の元のオーディオを保持します。（デフォルト："auto"） | -| `ウォーターマーク` | BOOLEAN | いいえ | - | 結果に AI 生成の透かしを追加するかどうかです。（デフォルト：False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 動画編集に使用するモデルです。 | COMBO | はい | `"wan2.7-videoedit"` | +| `model.prompt` | 編集指示またはスタイル転送の要件です。（デフォルト：空文字列） | STRING | はい | - | +| `model.resolution` | 出力動画の解像度です。 | COMBO | はい | `"720P"`
`"1080P"` | +| `model.ratio` | 出力動画のアスペクト比です。変更しない場合、入力動画の比率に近似します。 | COMBO | はい | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `model.duration` | 出力の長さ（秒）です。"auto" は入力動画の長さに合わせます。特定の値を指定すると、動画の先頭から切り取られます。（デフォルト："auto"） | COMBO | はい | `"auto"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"`
`"10"` | +| `model.reference_images` | 編集をガイドするための最大4枚の参照画像のリストです。 | IMAGE | いいえ | - | +| `ビデオ` | 編集する動画です。 | VIDEO | はい | - | +| `シード値` | 生成に使用するシード値です。（デフォルト：0） | INT | いいえ | 0 ～ 2147483647 | +| `オーディオ設定` | "auto"：モデルがプロンプトに基づいてオーディオを再生成するかどうかを判断します。"origin"：入力動画の元のオーディオを保持します。（デフォルト："auto"） | COMBO | いいえ | `"auto"`
`"origin"` | +| `ウォーターマーク` | 結果に AI 生成の透かしを追加するかどうかです。（デフォルト：False） | BOOLEAN | いいえ | - | **制約事項：** * `model.prompt` は最低1文字以上である必要があります。 @@ -33,9 +31,11 @@ Wan2VideoEditApi ノードは、Wan 2.7 モデルを使用して、テキスト ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | モデルによって生成された編集済み動画です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | モデルによって生成された編集済み動画です。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoEditApi/ja.md) --- **Source fingerprint (SHA-256):** `d2dd65d743358c6a357e75076774e93c52c39893fbb376da2f4395446f440a20` diff --git a/ja/built-in-nodes/WanAnimateToVideo.mdx b/ja/built-in-nodes/WanAnimateToVideo.mdx index 128f5939a..5fd85f104 100644 --- a/ja/built-in-nodes/WanAnimateToVideo.mdx +++ b/ja/built-in-nodes/WanAnimateToVideo.mdx @@ -5,30 +5,28 @@ sidebarTitle: "WanAnimateToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanAnimateToVideo/ja.md) - WanAnimateToVideo ノードは、ポーズ参照、表情、背景要素を含む複数の条件付け入力を組み合わせてビデオコンテンツを生成します。様々なビデオ入力を処理して、フレーム間の時間的一貫性を維持しながら、一貫性のあるアニメーションシーケンスを作成します。このノードは潜在空間の操作を処理し、モーションパターンを継続することで既存のビデオを拡張することもできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 生成を目的のコンテンツに導くためのポジティブ条件付け | -| `ネガティブ` | CONDITIONING | はい | - | 生成を望ましくないコンテンツから遠ざけるためのネガティブ条件付け | -| `vae` | VAE | はい | - | 画像データのエンコードとデコードに使用されるVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位）（デフォルト：832、ステップ：16） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位）（デフォルト：480、ステップ：16） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 生成するフレーム数（デフォルト：77、ステップ：4） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成するビデオの数（デフォルト：1） | -| `クリップビジョン出力` | CLIP_VISION_OUTPUT | いいえ | - | 追加の条件付けのためのオプションのCLIPビジョンモデル出力 | -| `参照画像` | IMAGE | いいえ | - | 生成の開始点として使用される参照画像 | -| `顔動画` | IMAGE | いいえ | - | 表情ガイダンスを提供するビデオ入力 | -| `ポーズ動画` | IMAGE | いいえ | - | ポーズとモーションガイダンスを提供するビデオ入力 | -| `継続モーション最大フレーム数` | INT | はい | 1 ～ MAX_RESOLUTION | 以前のモーションから継続する最大フレーム数（デフォルト：5、ステップ：4） | -| `背景動画` | IMAGE | いいえ | - | 生成コンテンツと合成する背景ビデオ | -| `キャラクターマスク` | MASK | いいえ | - | 選択的処理のためのキャラクター領域を定義するマスク | -| `継続モーション` | IMAGE | いいえ | - | 時間的一貫性のために継続する以前のモーションシーケンス | -| `動画フレームオフセット` | INT | はい | 0 ～ MAX_RESOLUTION | すべての入力ビデオ内でシークするフレーム数。チャンク単位でより長いビデオを生成するために使用します。ビデオを拡張するには、前のノードのvideo_frame_offset出力に接続します。（デフォルト：0、ステップ：1） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 生成を目的のコンテンツに導くためのポジティブ条件付け | CONDITIONING | はい | - | +| `ネガティブ` | 生成を望ましくないコンテンツから遠ざけるためのネガティブ条件付け | CONDITIONING | はい | - | +| `vae` | 画像データのエンコードとデコードに使用されるVAEモデル | VAE | はい | - | +| `幅` | 出力ビデオの幅（ピクセル単位）（デフォルト：832、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力ビデオの高さ（ピクセル単位）（デフォルト：480、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | 生成するフレーム数（デフォルト：77、ステップ：4） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 同時に生成するビデオの数（デフォルト：1） | INT | はい | 1 ～ 4096 | +| `クリップビジョン出力` | 追加の条件付けのためのオプションのCLIPビジョンモデル出力 | CLIP_VISION_OUTPUT | いいえ | - | +| `参照画像` | 生成の開始点として使用される参照画像 | IMAGE | いいえ | - | +| `顔動画` | 表情ガイダンスを提供するビデオ入力 | IMAGE | いいえ | - | +| `ポーズ動画` | ポーズとモーションガイダンスを提供するビデオ入力 | IMAGE | いいえ | - | +| `継続モーション最大フレーム数` | 以前のモーションから継続する最大フレーム数（デフォルト：5、ステップ：4） | INT | はい | 1 ～ MAX_RESOLUTION | +| `背景動画` | 生成コンテンツと合成する背景ビデオ | IMAGE | いいえ | - | +| `キャラクターマスク` | 選択的処理のためのキャラクター領域を定義するマスク | MASK | いいえ | - | +| `継続モーション` | 時間的一貫性のために継続する以前のモーションシーケンス | IMAGE | いいえ | - | +| `動画フレームオフセット` | すべての入力ビデオ内でシークするフレーム数。チャンク単位でより長いビデオを生成するために使用します。ビデオを拡張するには、前のノードのvideo_frame_offset出力に接続します。（デフォルト：0、ステップ：1） | INT | はい | 0 ～ MAX_RESOLUTION | **パラメータ制約：** @@ -43,14 +41,16 @@ WanAnimateToVideo ノードは、ポーズ参照、表情、背景要素を含 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | CLIPビジョン出力、ポーズビデオ潜在、顔ビデオピクセル、連結された潜在画像、連結されたマスクを含む追加のビデオコンテキストを持つ修正済みポジティブ条件付け | -| `潜在変数` | CONDITIONING | CLIPビジョン出力、ポーズビデオ潜在、顔ビデオピクセル（反転）、連結された潜在画像、連結されたマスクを含む追加のビデオコンテキストを持つ修正済みネガティブ条件付け | -| `トリム潜在変数` | LATENT | 形状 [batch_size, 16, latent_length + trim_latent, latent_height, latent_width] の潜在空間形式で生成されたビデオコンテンツ | -| `トリム画像` | INT | 先頭からトリミングする潜在フレーム数を示す潜在空間トリミング情報（参照画像の潜在フレームに対応） | -| `動画フレームオフセット` | INT | 参照モーションフレームの画像空間トリミング情報。先頭からトリミングする画像フレーム数を示します | -| `動画フレームオフセット` | INT | チャンク単位でビデオ生成を継続するための更新されたフレームオフセット。以前のオフセットに生成された長さを加算して計算されます | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | CLIPビジョン出力、ポーズビデオ潜在、顔ビデオピクセル、連結された潜在画像、連結されたマスクを含む追加のビデオコンテキストを持つ修正済みポジティブ条件付け | CONDITIONING | +| `潜在変数` | CLIPビジョン出力、ポーズビデオ潜在、顔ビデオピクセル（反転）、連結された潜在画像、連結されたマスクを含む追加のビデオコンテキストを持つ修正済みネガティブ条件付け | CONDITIONING | +| `トリム潜在変数` | 形状 [batch_size, 16, latent_length + trim_latent, latent_height, latent_width] の潜在空間形式で生成されたビデオコンテンツ | LATENT | +| `トリム画像` | 先頭からトリミングする潜在フレーム数を示す潜在空間トリミング情報（参照画像の潜在フレームに対応） | INT | +| `動画フレームオフセット` | 参照モーションフレームの画像空間トリミング情報。先頭からトリミングする画像フレーム数を示します | INT | +| `動画フレームオフセット` | チャンク単位でビデオ生成を継続するための更新されたフレームオフセット。以前のオフセットに生成された長さを加算して計算されます | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanAnimateToVideo/ja.md) --- **Source fingerprint (SHA-256):** `c2ca90f4963f629d51cdd7f4bdb67e01c32ce5ca7d916b1f992ccd220f57566c` diff --git a/ja/built-in-nodes/WanCameraEmbedding.mdx b/ja/built-in-nodes/WanCameraEmbedding.mdx index 5cd68f243..7139ba69a 100644 --- a/ja/built-in-nodes/WanCameraEmbedding.mdx +++ b/ja/built-in-nodes/WanCameraEmbedding.mdx @@ -5,34 +5,34 @@ sidebarTitle: "WanCameraEmbedding" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraEmbedding/ja.md) - 以下が翻訳結果です。 WanCameraEmbedding ノードは、カメラモーションパラメータに基づいてプレッカー埋め込みを使用し、カメラ軌跡の埋め込みを生成します。さまざまなカメラの動きをシミュレートする一連のカメラポーズを作成し、動画生成パイプラインに適した埋め込みテンソルに変換します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `カメラポーズ` | COMBO | はい | "Static"
"Pan Up"
"Pan Down"
"Pan Left"
"Pan Right"
"Zoom In"
"Zoom Out"
"Anti Clockwise (ACW)"
"ClockWise (CW)" | シミュレートするカメラの動きの種類（デフォルト: "Static"） | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力の幅（ピクセル単位）（デフォルト: 832、ステップ: 16） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力の高さ（ピクセル単位）（デフォルト: 480、ステップ: 16） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | カメラ軌跡シーケンスの長さ（デフォルト: 81、ステップ: 4） | -| `速度` | FLOAT | いいえ | 0.0 ～ 10.0 | カメラの動きの速度（デフォルト: 1.0、ステップ: 0.1） | -| `fx` | FLOAT | いいえ | 0.0 ～ 1.0 | 焦点距離 x パラメータ（デフォルト: 0.5、ステップ: 0.000000001） | -| `fy` | FLOAT | いいえ | 0.0 ～ 1.0 | 焦点距離 y パラメータ（デフォルト: 0.5、ステップ: 0.000000001） | -| `cx` | FLOAT | いいえ | 0.0 ～ 1.0 | 主点の x 座標（デフォルト: 0.5、ステップ: 0.01） | -| `cy` | FLOAT | いいえ | 0.0 ～ 1.0 | 主点の y 座標（デフォルト: 0.5、ステップ: 0.01） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `カメラポーズ` | シミュレートするカメラの動きの種類（デフォルト: "Static"） | COMBO | はい | "Static"
"Pan Up"
"Pan Down"
"Pan Left"
"Pan Right"
"Zoom In"
"Zoom Out"
"Anti Clockwise (ACW)"
"ClockWise (CW)" | +| `幅` | 出力の幅（ピクセル単位）（デフォルト: 832、ステップ: 16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力の高さ（ピクセル単位）（デフォルト: 480、ステップ: 16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | カメラ軌跡シーケンスの長さ（デフォルト: 81、ステップ: 4） | INT | はい | 1 ～ MAX_RESOLUTION | +| `速度` | カメラの動きの速度（デフォルト: 1.0、ステップ: 0.1） | FLOAT | いいえ | 0.0 ～ 10.0 | +| `fx` | 焦点距離 x パラメータ（デフォルト: 0.5、ステップ: 0.000000001） | FLOAT | いいえ | 0.0 ～ 1.0 | +| `fy` | 焦点距離 y パラメータ（デフォルト: 0.5、ステップ: 0.000000001） | FLOAT | いいえ | 0.0 ～ 1.0 | +| `cx` | 主点の x 座標（デフォルト: 0.5、ステップ: 0.01） | FLOAT | いいえ | 0.0 ～ 1.0 | +| `cy` | 主点の y 座標（デフォルト: 0.5、ステップ: 0.01） | FLOAT | いいえ | 0.0 ～ 1.0 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `幅` | TENSOR | 軌跡シーケンスを含む、生成されたカメラ埋め込みテンソル | -| `高さ` | INT | 処理に使用された幅の値 | -| `長さ` | INT | 処理に使用された高さの値 | -| `長さ` | INT | 処理に使用された長さの値 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `幅` | 軌跡シーケンスを含む、生成されたカメラ埋め込みテンソル | TENSOR | +| `高さ` | 処理に使用された幅の値 | INT | +| `長さ` | 処理に使用された高さの値 | INT | +| `長さ` | 処理に使用された長さの値 | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraEmbedding/ja.md) --- **Source fingerprint (SHA-256):** `422c4a1fdfb6fd403afac26a609f80cbdbaa87f2c115068de9d7a33c756e71fd` diff --git a/ja/built-in-nodes/WanCameraImageToVideo.mdx b/ja/built-in-nodes/WanCameraImageToVideo.mdx index 9e136e244..844397ea0 100644 --- a/ja/built-in-nodes/WanCameraImageToVideo.mdx +++ b/ja/built-in-nodes/WanCameraImageToVideo.mdx @@ -5,34 +5,34 @@ sidebarTitle: "WanCameraImageToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraImageToVideo/ja.md) - WanCameraImageToVideo ノードは、画像を動画シーケンスに変換するために、潜在表現を生成します。このノードは、条件付け入力とオプションの開始画像を処理し、動画モデルで使用可能な動画潜在表現を作成します。カメラ条件とクリップビジョン出力をサポートし、動画生成の制御を強化します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 動画生成のためのポジティブ条件付けプロンプト | -| `ネガティブ` | CONDITIONING | はい | - | 動画生成で避けるべきネガティブ条件付けプロンプト | -| `VAE` | VAE | はい | - | 画像を潜在空間にエンコードするためのVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）（デフォルト：832、ステップ：16） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）（デフォルト：480、ステップ：16） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 動画シーケンスのフレーム数（デフォルト：81、ステップ：4） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成する動画の数（デフォルト：1） | -| `CLIPビジョン出力` | CLIP_VISION_OUTPUT | いいえ | - | 追加の条件付けのためのオプションのCLIPビジョン出力 | -| `開始画像` | IMAGE | いいえ | - | 動画シーケンスを初期化するためのオプションの開始画像。指定された場合、動画の最初のフレームはこの画像に基づき、マスクが適用されて開始フレームと生成コンテンツがブレンドされます。画像は指定された幅と高さにリサイズされます。 | -| `カメラ条件` | WAN_CAMERA_EMBEDDING | いいえ | - | 動画生成のためのオプションのカメラ埋め込み条件。指定された場合、これらの条件はポジティブ条件付けとネガティブ条件付けの両方に適用されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 動画生成のためのポジティブ条件付けプロンプト | CONDITIONING | はい | - | +| `ネガティブ` | 動画生成で避けるべきネガティブ条件付けプロンプト | CONDITIONING | はい | - | +| `VAE` | 画像を潜在空間にエンコードするためのVAEモデル | VAE | はい | - | +| `幅` | 出力動画の幅（ピクセル単位）（デフォルト：832、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力動画の高さ（ピクセル単位）（デフォルト：480、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | 動画シーケンスのフレーム数（デフォルト：81、ステップ：4） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 同時に生成する動画の数（デフォルト：1） | INT | はい | 1 ～ 4096 | +| `CLIPビジョン出力` | 追加の条件付けのためのオプションのCLIPビジョン出力 | CLIP_VISION_OUTPUT | いいえ | - | +| `開始画像` | 動画シーケンスを初期化するためのオプションの開始画像。指定された場合、動画の最初のフレームはこの画像に基づき、マスクが適用されて開始フレームと生成コンテンツがブレンドされます。画像は指定された幅と高さにリサイズされます。 | IMAGE | いいえ | - | +| `カメラ条件` | 動画生成のためのオプションのカメラ埋め込み条件。指定された場合、これらの条件はポジティブ条件付けとネガティブ条件付けの両方に適用されます。 | WAN_CAMERA_EMBEDDING | いいえ | - | **注記：** `start_image` が指定された場合、ノードはそれを使用して動画シーケンスを初期化し、マスキングを適用して開始フレームと生成コンテンツをブレンドします。`camera_conditions` および `clip_vision_output` パラメータはオプションですが、指定された場合、ポジティブプロンプトとネガティブプロンプトの両方の条件付けを変更します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | カメラ条件とクリップビジョン出力が適用された、変更後のポジティブ条件付け | -| `潜在変数` | CONDITIONING | カメラ条件とクリップビジョン出力が適用された、変更後のネガティブ条件付け | -| `latent` | LATENT | 動画モデルで使用するために生成された動画潜在表現。潜在テンソルの次元は [batch_size, 16, frames, height/8, width/8] です。ここで frames は ((length - 1) // 4) + 1 として計算されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | カメラ条件とクリップビジョン出力が適用された、変更後のポジティブ条件付け | CONDITIONING | +| `潜在変数` | カメラ条件とクリップビジョン出力が適用された、変更後のネガティブ条件付け | CONDITIONING | +| `latent` | 動画モデルで使用するために生成された動画潜在表現。潜在テンソルの次元は [batch_size, 16, frames, height/8, width/8] です。ここで frames は ((length - 1) // 4) + 1 として計算されます。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraImageToVideo/ja.md) --- **Source fingerprint (SHA-256):** `19d76097d580b14663afd0aab58810f9dc1685cd32e8f67aa43c820be65239e7` diff --git a/ja/built-in-nodes/WanContextWindowsManual.mdx b/ja/built-in-nodes/WanContextWindowsManual.mdx index 82b8bbd92..9aae69626 100644 --- a/ja/built-in-nodes/WanContextWindowsManual.mdx +++ b/ja/built-in-nodes/WanContextWindowsManual.mdx @@ -5,32 +5,32 @@ sidebarTitle: "WanContextWindowsManual" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanContextWindowsManual/ja.md) - 以下が日本語訳です。 WAN Context Windows (Manual) ノードを使用すると、2次元処理を行うWAN系モデル向けにコンテキストウィンドウを手動で設定できます。サンプリング中に、ウィンドウの長さ、オーバーラップ、スケジューリング方法、フュージョン手法を指定することで、カスタムのコンテキストウィンドウ設定を適用します。これにより、モデルが異なるコンテキスト領域間で情報を処理する方法を正確に制御できます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | サンプリング中にコンテキストウィンドウを適用するモデル。 | -| `コンテキスト長` | INT | はい | 1 ～ 1048576 | コンテキストウィンドウの長さ（デフォルト: 81）。 | -| `コンテキストオーバーラップ` | INT | はい | 0 ～ 1048576 | コンテキストウィンドウのオーバーラップ（デフォルト: 30）。 | -| `コンテキストスケジュール` | COMBO | はい | `"static_standard"`
`"uniform_standard"`
`"uniform_looped"`
`"batched"` | コンテキストウィンドウのストライド。 | -| `コンテキストストライド` | INT | はい | 1 ～ 1048576 | コンテキストウィンドウのストライド。uniformスケジュールにのみ適用されます（デフォルト: 1）。 | -| `クローズドループ` | BOOLEAN | はい | - | コンテキストウィンドウのループを閉じるかどうか。loopedスケジュールにのみ適用されます（デフォルト: False）。 | -| `融合方法` | COMBO | はい | `"pyramid"`
`"gaussian"`
`"average"`
`"overlap"` | コンテキストウィンドウをフュージョンする方法（デフォルト: "pyramid"）。 | -| `フリーノイズ` | BOOLEAN | はい | - | FreeNoiseノイズシャッフリングを適用するかどうか。ウィンドウのブレンドを改善します（デフォルト: False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | サンプリング中にコンテキストウィンドウを適用するモデル。 | MODEL | はい | - | +| `コンテキスト長` | コンテキストウィンドウの長さ（デフォルト: 81）。 | INT | はい | 1 ～ 1048576 | +| `コンテキストオーバーラップ` | コンテキストウィンドウのオーバーラップ（デフォルト: 30）。 | INT | はい | 0 ～ 1048576 | +| `コンテキストスケジュール` | コンテキストウィンドウのストライド。 | COMBO | はい | `"static_standard"`
`"uniform_standard"`
`"uniform_looped"`
`"batched"` | +| `コンテキストストライド` | コンテキストウィンドウのストライド。uniformスケジュールにのみ適用されます（デフォルト: 1）。 | INT | はい | 1 ～ 1048576 | +| `クローズドループ` | コンテキストウィンドウのループを閉じるかどうか。loopedスケジュールにのみ適用されます（デフォルト: False）。 | BOOLEAN | はい | - | +| `融合方法` | コンテキストウィンドウをフュージョンする方法（デフォルト: "pyramid"）。 | COMBO | はい | `"pyramid"`
`"gaussian"`
`"average"`
`"overlap"` | +| `フリーノイズ` | FreeNoiseノイズシャッフリングを適用するかどうか。ウィンドウのブレンドを改善します（デフォルト: False）。 | BOOLEAN | はい | - | **注記:** `context_stride` パラメータは uniform スケジュールにのみ影響し、`closed_loop` は looped スケジュールにのみ適用されます。コンテキストの長さとオーバーラップの値は、処理中に最小有効値を確保するために自動的に調整されます。`fuse_method` パラメータには、"pyramid" 以外の追加オプションも含まれるようになりました。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | コンテキストウィンドウ設定が適用されたモデル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | コンテキストウィンドウ設定が適用されたモデル。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanContextWindowsManual/ja.md) --- **Source fingerprint (SHA-256):** `33e539f1e6647a6a2bc98fadc357a25279b0900746f5b3d568e2782cdb770258` diff --git a/ja/built-in-nodes/WanDancerEncodeAudio.mdx b/ja/built-in-nodes/WanDancerEncodeAudio.mdx index 79f12101e..60d67ba55 100644 --- a/ja/built-in-nodes/WanDancerEncodeAudio.mdx +++ b/ja/built-in-nodes/WanDancerEncodeAudio.mdx @@ -5,8 +5,6 @@ sidebarTitle: "WanDancerEncodeAudio" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerEncodeAudio/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,18 +13,20 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | はい | - | 分析およびエンコードされる音声入力です。 | -| `video_frames` | INT | はい | 最小: 1、最大: 268435456 (MAX_RESOLUTION)、ステップ: 4 | ターゲット動画のフレーム数です。同期のためのフレームレート計算に使用されます（デフォルト: 149）。 | -| `audio_inject_scale` | FLOAT | はい | 最小: 0.0、最大: 10.0、ステップ: 0.01 | 動画モデルに注入する際の音声特徴量のスケールです（デフォルト: 1.0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `audio` | 分析およびエンコードされる音声入力です。 | AUDIO | はい | - | +| `video_frames` | ターゲット動画のフレーム数です。同期のためのフレームレート計算に使用されます（デフォルト: 149）。 | INT | はい | 最小: 1、最大: 268435456 (MAX_RESOLUTION)、ステップ: 4 | +| `audio_inject_scale` | 動画モデルに注入する際の音声特徴量のスケールです（デフォルト: 1.0）。 | FLOAT | はい | 最小: 0.0、最大: 10.0、ステップ: 0.01 | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `fps_string` | AUDIO_ENCODER_OUTPUT | 処理済みの音声特徴量、計算されたフレームレート（fps）、および音声注入スケールを含む辞書です。この出力は動画生成モデルの条件付けに使用されます。 | -| `fps_string` | STRING | 音声の長さと動画のフレーム数に基づいて計算されたフレームレート（fps）を説明するテキスト文字列です。この文字列は動画モデルのプロンプトで使用することを目的としています。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `fps_string` | 処理済みの音声特徴量、計算されたフレームレート（fps）、および音声注入スケールを含む辞書です。この出力は動画生成モデルの条件付けに使用されます。 | AUDIO_ENCODER_OUTPUT | +| `fps_string` | 音声の長さと動画のフレーム数に基づいて計算されたフレームレート（fps）を説明するテキスト文字列です。この文字列は動画モデルのプロンプトで使用することを目的としています。 | STRING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerEncodeAudio/ja.md) --- **Source fingerprint (SHA-256):** `ef230c92b23a04369708041b2e5d03c1b2928edf746dc43020bae777f9f0b589` diff --git a/ja/built-in-nodes/WanDancerPadKeyframes.mdx b/ja/built-in-nodes/WanDancerPadKeyframes.mdx index 1d25601cd..2ec48a8b9 100644 --- a/ja/built-in-nodes/WanDancerPadKeyframes.mdx +++ b/ja/built-in-nodes/WanDancerPadKeyframes.mdx @@ -5,8 +5,6 @@ sidebarTitle: "WanDancerPadKeyframes" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframes/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,20 +13,22 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|-------------| -| `images` | IMAGE | はい | 画像のバッチ | キーフレームとして分散配置する入力画像。 | -| `segment_length` | INT | はい | 1 ～ 10000 | このセグメントのフレーム長（デフォルト：149）。 | -| `segment_index` | INT | はい | 0 ～ 100 | このセグメントが何番目かを指定します（0＝最初、1＝2番目、など。デフォルト：0）。 | -| `audio` | AUDIO | はい | オーディオデータ | 出力総フレーム数を計算し、セグメントオーディオを抽出するためのオーディオ。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `images` | キーフレームとして分散配置する入力画像。 | IMAGE | はい | 画像のバッチ | +| `segment_length` | このセグメントのフレーム長（デフォルト：149）。 | INT | はい | 1 ～ 10000 | +| `segment_index` | このセグメントが何番目かを指定します（0＝最初、1＝2番目、など。デフォルト：0）。 | INT | はい | 0 ～ 100 | +| `audio` | 出力総フレーム数を計算し、セグメントオーディオを抽出するためのオーディオ。 | AUDIO | はい | オーディオデータ | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|----------|-------------| -| `keyframes_mask` | IMAGE | 指定されたセグメント用にパディングされたキーフレームシーケンス。 | -| `audio_segment` | MASK | 有効フレームを示すマスク（キーフレーム位置は1、パディング位置は0）。 | -| `audio_segment` | AUDIO | この動画セグメントに対応するオーディオセグメント。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `keyframes_mask` | 指定されたセグメント用にパディングされたキーフレームシーケンス。 | IMAGE | +| `audio_segment` | 有効フレームを示すマスク（キーフレーム位置は1、パディング位置は0）。 | MASK | +| `audio_segment` | この動画セグメントに対応するオーディオセグメント。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframes/ja.md) --- **Source fingerprint (SHA-256):** `5a104b45faaa870727d4c45e6327e7233110b40dc5a13515a29e5f14de2050e0` diff --git a/ja/built-in-nodes/WanDancerPadKeyframesList.mdx b/ja/built-in-nodes/WanDancerPadKeyframesList.mdx index 00a85a86d..9dc107d28 100644 --- a/ja/built-in-nodes/WanDancerPadKeyframesList.mdx +++ b/ja/built-in-nodes/WanDancerPadKeyframesList.mdx @@ -5,8 +5,6 @@ sidebarTitle: "WanDancerPadKeyframesList" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframesList/ja.md) - 以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 --- @@ -17,20 +15,22 @@ mode: wide ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | なし | セグメントに分割する入力画像シーケンス。 | -| `segment_length` | INT | はい | 1 ～ 10000 | 各セグメントのフレーム長（デフォルト：149）。 | -| `num_segments` | INT | はい | 1 ～ 100 | リストとして出力するパディング済みセグメントの数（デフォルト：1）。 | -| `audio` | AUDIO | いいえ | なし | 出力される各セグメントに対応してスライスするオーディオ。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `images` | セグメントに分割する入力画像シーケンス。 | IMAGE | はい | なし | +| `segment_length` | 各セグメントのフレーム長（デフォルト：149）。 | INT | はい | 1 ～ 10000 | +| `num_segments` | リストとして出力するパディング済みセグメントの数（デフォルト：1）。 | INT | はい | 1 ～ 100 | +| `audio` | 出力される各セグメントに対応してスライスするオーディオ。 | AUDIO | いいえ | なし | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `keyframes_mask` | IMAGE | 各セグメントに対応するパディング済みキーフレームシーケンスのリスト。 | -| `audio_segment` | MASK | 各セグメントの有効なフレームを示すマスクのリスト。 | -| `audio_segment` | AUDIO | 各動画セグメントに対応するオーディオセグメントのリスト。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `keyframes_mask` | 各セグメントに対応するパディング済みキーフレームシーケンスのリスト。 | IMAGE | +| `audio_segment` | 各セグメントの有効なフレームを示すマスクのリスト。 | MASK | +| `audio_segment` | 各動画セグメントに対応するオーディオセグメントのリスト。 | AUDIO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframesList/ja.md) --- **Source fingerprint (SHA-256):** `c6a3ddca3fd61fcdb287fecb6969796eebd65e70f1174abdab57912586d27d00` diff --git a/ja/built-in-nodes/WanDancerVideo.mdx b/ja/built-in-nodes/WanDancerVideo.mdx index 864186e01..3196edbf9 100644 --- a/ja/built-in-nodes/WanDancerVideo.mdx +++ b/ja/built-in-nodes/WanDancerVideo.mdx @@ -5,27 +5,25 @@ sidebarTitle: "WanDancerVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerVideo/ja.md) - 以下が翻訳結果です。 WanDancerVideo ノードは、WanDancer モデルによる動画生成のために、コンディショニングデータと空の潜在テンソルを準備します。このノードは、ポジティブコンディショニングとネガティブコンディショニングを、開始画像、マスク、CLIPビジョン埋め込み、オーディオ特徴量などのオプション入力と組み合わせて、生成される動画を制御します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | | 動画生成をガイドするポジティブコンディショニング。 | -| `negative` | CONDITIONING | はい | | 動画生成をガイドするネガティブコンディショニング。 | -| `vae` | VAE | はい | | 開始画像を潜在空間にエンコードするために使用されるVAE。 | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION (ステップ: 16) | 生成される動画の幅（ピクセル単位、デフォルト: 480）。 | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION (ステップ: 16) | 生成される動画の高さ（ピクセル単位、デフォルト: 832）。 | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION (ステップ: 4) | 生成される動画のフレーム数。WanDancer では 149 に設定する必要があります（デフォルト: 149）。 | -| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | | 最初のフレームに対するCLIPビジョン埋め込み。 | -| `clip_vision_output_ref` | CLIP_VISION_OUTPUT | いいえ | | 参照画像に対するCLIPビジョン埋め込み。 | -| `開始画像` | IMAGE | いいえ | | エンコードされる初期画像。指定された `長さ` までの任意のフレーム数を指定できます。 | -| `マスク` | MASK | いいえ | | 開始画像に対する画像コンディショニングマスク。白い領域は保持され、黒い領域は生成されます。局所的な生成に使用されます。 | -| `audio_encoder_output` | AUDIO_ENCODER_OUTPUT | いいえ | | オーディオエンコーダからの出力。オーディオ条件付き生成のためのオーディオ特徴量、fps、注入スケールを提供します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `positive` | 動画生成をガイドするポジティブコンディショニング。 | CONDITIONING | はい | | +| `negative` | 動画生成をガイドするネガティブコンディショニング。 | CONDITIONING | はい | | +| `vae` | 開始画像を潜在空間にエンコードするために使用されるVAE。 | VAE | はい | | +| `幅` | 生成される動画の幅（ピクセル単位、デフォルト: 480）。 | INT | はい | 16 ～ MAX_RESOLUTION (ステップ: 16) | +| `高さ` | 生成される動画の高さ（ピクセル単位、デフォルト: 832）。 | INT | はい | 16 ～ MAX_RESOLUTION (ステップ: 16) | +| `長さ` | 生成される動画のフレーム数。WanDancer では 149 に設定する必要があります（デフォルト: 149）。 | INT | はい | 1 ～ MAX_RESOLUTION (ステップ: 4) | +| `clip_vision_output` | 最初のフレームに対するCLIPビジョン埋め込み。 | CLIP_VISION_OUTPUT | いいえ | | +| `clip_vision_output_ref` | 参照画像に対するCLIPビジョン埋め込み。 | CLIP_VISION_OUTPUT | いいえ | | +| `開始画像` | エンコードされる初期画像。指定された `長さ` までの任意のフレーム数を指定できます。 | IMAGE | いいえ | | +| `マスク` | 開始画像に対する画像コンディショニングマスク。白い領域は保持され、黒い領域は生成されます。局所的な生成に使用されます。 | MASK | いいえ | | +| `audio_encoder_output` | オーディオエンコーダからの出力。オーディオ条件付き生成のためのオーディオ特徴量、fps、注入スケールを提供します。 | AUDIO_ENCODER_OUTPUT | いいえ | | **パラメータ制約に関する注意事項:** - `start_image` と `mask` の入力はオプションですが、一緒に使用することもできます。`start_image` が提供されると、それはエンコードされて潜在変数と連結されます。`mask` も提供された場合、開始画像のどの部分を保持するか（白）と、どの部分を再生成するか（黒）を制御します。`mask` が提供されない場合、開始画像領域全体がコンディショニングガイドとして使用されます。 @@ -34,11 +32,13 @@ WanDancerVideo ノードは、WanDancer モデルによる動画生成のため ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `negative` | CONDITIONING | 追加データ（連結潜在変数、CLIPビジョン、オーディオ）が付加されたポジティブコンディショニング。 | -| `latent` | CONDITIONING | 追加データ（連結潜在変数、CLIPビジョン、オーディオ）が付加されたネガティブコンディショニング。 | -| `latent` | LATENT | 指定された動画の長さ、高さ、幅に一致する次元を持つ空の潜在テンソル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `negative` | 追加データ（連結潜在変数、CLIPビジョン、オーディオ）が付加されたポジティブコンディショニング。 | CONDITIONING | +| `latent` | 追加データ（連結潜在変数、CLIPビジョン、オーディオ）が付加されたネガティブコンディショニング。 | CONDITIONING | +| `latent` | 指定された動画の長さ、高さ、幅に一致する次元を持つ空の潜在テンソル。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerVideo/ja.md) --- **Source fingerprint (SHA-256):** `7ab1b4662eb8d780295ea3a3e3139c64d81e03a979a293a481f82deaf1fc2f7e` diff --git a/ja/built-in-nodes/WanFirstLastFrameToVideo.mdx b/ja/built-in-nodes/WanFirstLastFrameToVideo.mdx index 6b485be31..3a9e6cbb5 100644 --- a/ja/built-in-nodes/WanFirstLastFrameToVideo.mdx +++ b/ja/built-in-nodes/WanFirstLastFrameToVideo.mdx @@ -5,35 +5,35 @@ sidebarTitle: "WanFirstLastFrameToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFirstLastFrameToVideo/ja.md) - WanFirstLastFrameToVideo ノードは、開始フレームと終了フレームをテキストプロンプトと組み合わせてビデオ条件付けを生成します。最初と最後のフレームをエンコードし、マスクを適用して生成プロセスをガイドし、利用可能な場合はCLIPビジョン特徴量を組み込むことで、ビデオ生成用の潜在表現を作成します。このノードは、指定された開始点と終了点の間で一貫性のあるシーケンスを生成するために、ビデオモデル用のポジティブ条件付けとネガティブ条件付けの両方を準備します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | ビデオ生成をガイドするためのポジティブテキスト条件付け | -| `ネガティブ` | CONDITIONING | はい | - | ビデオ生成をガイドするためのネガティブテキスト条件付け | -| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするために使用するVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（デフォルト：832、ステップ：16） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（デフォルト：480、ステップ：16） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | ビデオシーケンスのフレーム数（デフォルト：81、ステップ：4） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成するビデオの数（デフォルト：1） | -| `clipビジョン開始画像` | CLIP_VISION_OUTPUT | いいえ | - | 開始画像から抽出されたCLIPビジョン特徴量 | -| `clipビジョン終了画像` | CLIP_VISION_OUTPUT | いいえ | - | 終了画像から抽出されたCLIPビジョン特徴量 | -| `開始画像` | IMAGE | いいえ | - | ビデオシーケンスの開始フレーム画像 | -| `終了画像` | IMAGE | いいえ | - | ビデオシーケンスの終了フレーム画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | ビデオ生成をガイドするためのポジティブテキスト条件付け | CONDITIONING | はい | - | +| `ネガティブ` | ビデオ生成をガイドするためのネガティブテキスト条件付け | CONDITIONING | はい | - | +| `vae` | 画像を潜在空間にエンコードするために使用するVAEモデル | VAE | はい | - | +| `幅` | 出力ビデオの幅（デフォルト：832、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力ビデオの高さ（デフォルト：480、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | ビデオシーケンスのフレーム数（デフォルト：81、ステップ：4） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 同時に生成するビデオの数（デフォルト：1） | INT | はい | 1 ～ 4096 | +| `clipビジョン開始画像` | 開始画像から抽出されたCLIPビジョン特徴量 | CLIP_VISION_OUTPUT | いいえ | - | +| `clipビジョン終了画像` | 終了画像から抽出されたCLIPビジョン特徴量 | CLIP_VISION_OUTPUT | いいえ | - | +| `開始画像` | ビデオシーケンスの開始フレーム画像 | IMAGE | いいえ | - | +| `終了画像` | ビデオシーケンスの終了フレーム画像 | IMAGE | いいえ | - | **注記：** `start_image` と `end_image` の両方が提供された場合、ノードはこれら2つのフレーム間を遷移するビデオシーケンスを作成します。`clip_vision_start_image` と `clip_vision_end_image` パラメータはオプションですが、提供された場合、それらのCLIPビジョン特徴量が連結され、ポジティブ条件付けとネガティブ条件付けの両方に適用されます。`start_image` は最初の `length` フレームにクロップされ、`end_image` は最後の `length` フレームにクロップされてから処理されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | ビデオフレームエンコーディングとCLIPビジョン特徴量が適用されたポジティブ条件付け | -| `latent` | CONDITIONING | ビデオフレームエンコーディングとCLIPビジョン特徴量が適用されたネガティブ条件付け | -| `latent` | LATENT | 指定されたビデオパラメータに一致する次元を持つ空の潜在テンソル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | ビデオフレームエンコーディングとCLIPビジョン特徴量が適用されたポジティブ条件付け | CONDITIONING | +| `latent` | ビデオフレームエンコーディングとCLIPビジョン特徴量が適用されたネガティブ条件付け | CONDITIONING | +| `latent` | 指定されたビデオパラメータに一致する次元を持つ空の潜在テンソル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFirstLastFrameToVideo/ja.md) --- **Source fingerprint (SHA-256):** `8cfca692fc4975bb5238ce749d2102fad4b6cd84e96ef74c3eff2b297ee60c3c` diff --git a/ja/built-in-nodes/WanFunControlToVideo.mdx b/ja/built-in-nodes/WanFunControlToVideo.mdx index 25877f357..0666ff3d6 100644 --- a/ja/built-in-nodes/WanFunControlToVideo.mdx +++ b/ja/built-in-nodes/WanFunControlToVideo.mdx @@ -5,8 +5,6 @@ sidebarTitle: "WanFunControlToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunControlToVideo/ja.md) - このノードは、動画生成のためのAlibaba Wan Fun Controlモデルをサポートするために追加されました。[このコミット](https://github.com/comfyanonymous/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc48524f8ee5f82)の後に追加されています。 - **目的:** Wan 2.1 Fun Controlモデルを使用して、動画生成に必要な条件付け情報を準備します。 @@ -19,23 +17,25 @@ ComfyUIノード階層におけるこのノードの位置は、動画生成パ ## 入力 -| パラメータ名 | 必須 | データ型 | 説明 | デフォルト値 | -|:------------|:----|:--------|:-------------------------------------------------------------|:-----------| -| positive | はい | CONDITIONING | 標準的なComfyUIのポジティブ条件付けデータで、通常は「CLIP Text Encode」ノードから取得します。ポジティブプロンプトは、生成される動画に対してユーザーが想定する内容、主題、芸術スタイルを記述します。 | N/A | -| negative | はい | CONDITIONING | 標準的なComfyUIのネガティブ条件付けデータで、通常は「CLIP Text Encode」ノードによって生成されます。ネガティブプロンプトは、生成される動画でユーザーが避けたい要素、スタイル、またはアーティファクトを指定します。 | N/A | -| vae | はい | VAE | Wan 2.1 Funモデルファミリーと互換性のあるVAE（変分オートエンコーダ）モデルが必要です。画像/動画データのエンコードとデコードに使用されます。 | N/A | -| width | はい | INT | 出力動画フレームの希望する幅（ピクセル単位）。デフォルト値は832、最小値は16、最大値はnodes.MAX_RESOLUTIONによって決定され、ステップサイズは16です。 | 832 | -| height | はい | INT | 出力動画フレームの希望する高さ（ピクセル単位）。デフォルト値は480、最小値は16、最大値はnodes.MAX_RESOLUTIONによって決定され、ステップサイズは16です。 | 480 | -| length | はい | INT | 生成される動画の総フレーム数。デフォルト値は81、最小値は1、最大値はnodes.MAX_RESOLUTIONによって決定され、ステップサイズは4です。 | 81 | -| batch_size | はい | INT | 1回のバッチで生成される動画の数。デフォルト値は1、最小値は1、最大値は4096です。 | 1 | -| clip_vision_output | いいえ | CLIP_VISION_OUTPUT | （オプション）CLIPビジョンモデルによって抽出された視覚的特徴。視覚的なスタイルと内容のガイダンスを可能にします。 | None | -| start_image | いいえ | IMAGE | （オプション）生成される動画の開始部分に影響を与える初期画像。 | None | -| control_video | いいえ | IMAGE | （オプション）ユーザーが前処理済みのControlNet参照動画を提供できるようにします。この動画は、生成される動画の動きや潜在的な構造を導きます。 | None | +| パラメータ名 | 説明 | 必須 | データ型 | デフォルト値 | +| --- | --- | --- | --- | --- | +| positive | 標準的なComfyUIのポジティブ条件付けデータで、通常は「CLIP Text Encode」ノードから取得します。ポジティブプロンプトは、生成される動画に対してユーザーが想定する内容、主題、芸術スタイルを記述します。 | はい | CONDITIONING | N/A | +| negative | 標準的なComfyUIのネガティブ条件付けデータで、通常は「CLIP Text Encode」ノードによって生成されます。ネガティブプロンプトは、生成される動画でユーザーが避けたい要素、スタイル、またはアーティファクトを指定します。 | はい | CONDITIONING | N/A | +| vae | Wan 2.1 Funモデルファミリーと互換性のあるVAE（変分オートエンコーダ）モデルが必要です。画像/動画データのエンコードとデコードに使用されます。 | はい | VAE | N/A | +| width | 出力動画フレームの希望する幅（ピクセル単位）。デフォルト値は832、最小値は16、最大値はnodes.MAX_RESOLUTIONによって決定され、ステップサイズは16です。 | はい | INT | 832 | +| height | 出力動画フレームの希望する高さ（ピクセル単位）。デフォルト値は480、最小値は16、最大値はnodes.MAX_RESOLUTIONによって決定され、ステップサイズは16です。 | はい | INT | 480 | +| length | 生成される動画の総フレーム数。デフォルト値は81、最小値は1、最大値はnodes.MAX_RESOLUTIONによって決定され、ステップサイズは4です。 | はい | INT | 81 | +| batch_size | 1回のバッチで生成される動画の数。デフォルト値は1、最小値は1、最大値は4096です。 | はい | INT | 1 | +| clip_vision_output | （オプション）CLIPビジョンモデルによって抽出された視覚的特徴。視覚的なスタイルと内容のガイダンスを可能にします。 | いいえ | CLIP_VISION_OUTPUT | None | +| start_image | （オプション）生成される動画の開始部分に影響を与える初期画像。 | いいえ | IMAGE | None | +| control_video | （オプション）ユーザーが前処理済みのControlNet参照動画を提供できるようにします。この動画は、生成される動画の動きや潜在的な構造を導きます。 | いいえ | IMAGE | None | ## 出力 -| パラメータ名 | データ型 | 説明 | -|:------------|:--------|:-------------------------------------------------------------| -| positive | CONDITIONING | エンコードされたstart_imageとcontrol_videoを含む、拡張されたポジティブ条件付けデータを提供します。 | -| negative | CONDITIONING | 同じconcat_latent_imageを含む、同様に拡張されたネガティブ条件付けデータを提供します。 | -| latent | LATENT | キー「samples」を持つ空の潜在テンソルを含む辞書。 | \ No newline at end of file +| パラメータ名 | 説明 | データ型 | +| --- | --- | --- | +| positive | エンコードされたstart_imageとcontrol_videoを含む、拡張されたポジティブ条件付けデータを提供します。 | CONDITIONING | +| negative | 同じconcat_latent_imageを含む、同様に拡張されたネガティブ条件付けデータを提供します。 | CONDITIONING | +| latent | キー「samples」を持つ空の潜在テンソルを含む辞書。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunControlToVideo/ja.md) diff --git a/ja/built-in-nodes/WanFunInpaintToVideo.mdx b/ja/built-in-nodes/WanFunInpaintToVideo.mdx index 35fb56ed2..4b8121b53 100644 --- a/ja/built-in-nodes/WanFunInpaintToVideo.mdx +++ b/ja/built-in-nodes/WanFunInpaintToVideo.mdx @@ -5,8 +5,6 @@ sidebarTitle: "WanFunInpaintToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunInpaintToVideo/ja.md) - 以下は、ご依頼いただいた技術翻訳の結果です。 --- @@ -15,26 +13,28 @@ WanFunInpaintToVideo ノードは、開始画像と終了画像の間をイン ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `ポジティブ` | CONDITIONING | はい | - | ビデオ生成のためのポジティブ条件付けプロンプト | -| `ネガティブ` | CONDITIONING | はい | - | ビデオ生成で避けるべきネガティブ条件付けプロンプト | -| `vae` | VAE | はい | - | エンコード/デコード処理のためのVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位、デフォルト：832、ステップ：16） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位、デフォルト：480、ステップ：16） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | ビデオシーケンスのフレーム数（デフォルト：81、ステップ：4） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | 1バッチで生成するビデオの数（デフォルト：1） | -| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | - | 追加の条件付けのためのオプションのCLIPビジョン出力 | -| `開始画像` | IMAGE | いいえ | - | ビデオ生成のためのオプションの開始フレーム画像 | -| `終了画像` | IMAGE | いいえ | - | ビデオ生成のためのオプションの終了フレーム画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | ビデオ生成のためのポジティブ条件付けプロンプト | CONDITIONING | はい | - | +| `ネガティブ` | ビデオ生成で避けるべきネガティブ条件付けプロンプト | CONDITIONING | はい | - | +| `vae` | エンコード/デコード処理のためのVAEモデル | VAE | はい | - | +| `幅` | 出力ビデオの幅（ピクセル単位、デフォルト：832、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力ビデオの高さ（ピクセル単位、デフォルト：480、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | ビデオシーケンスのフレーム数（デフォルト：81、ステップ：4） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 1バッチで生成するビデオの数（デフォルト：1） | INT | はい | 1 ～ 4096 | +| `clip_vision_output` | 追加の条件付けのためのオプションのCLIPビジョン出力 | CLIP_VISION_OUTPUT | いいえ | - | +| `開始画像` | ビデオ生成のためのオプションの開始フレーム画像 | IMAGE | いいえ | - | +| `終了画像` | ビデオ生成のためのオプションの終了フレーム画像 | IMAGE | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `ネガティブ` | CONDITIONING | 処理済みのポジティブ条件付け出力 | -| `latent` | CONDITIONING | 処理済みのネガティブ条件付け出力 | -| `latent` | LATENT | 生成されたビデオの潜在表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 処理済みのポジティブ条件付け出力 | CONDITIONING | +| `latent` | 処理済みのネガティブ条件付け出力 | CONDITIONING | +| `latent` | 生成されたビデオの潜在表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunInpaintToVideo/ja.md) --- **Source fingerprint (SHA-256):** `bbc5c2614f5fc21877345b3f01686ea57bee5108cdb253fb5dbf4b2cce9e59dd` diff --git a/ja/built-in-nodes/WanHuMoImageToVideo.mdx b/ja/built-in-nodes/WanHuMoImageToVideo.mdx index 9e47e01b2..357423b19 100644 --- a/ja/built-in-nodes/WanHuMoImageToVideo.mdx +++ b/ja/built-in-nodes/WanHuMoImageToVideo.mdx @@ -5,8 +5,6 @@ sidebarTitle: "WanHuMoImageToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanHuMoImageToVideo/ja.md) - 以下は、ご依頼の翻訳ルールに従って作成した日本語訳です。 ## 概要 @@ -14,27 +12,29 @@ WanHuMoImageToVideo ノードは、ビデオフレームの潜在表現を生成 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 所望のコンテンツに向けてビデオ生成を導く、ポジティブな条件付け入力 | -| `ネガティブ` | CONDITIONING | はい | - | 不要なコンテンツからビデオ生成を遠ざける、ネガティブな条件付け入力 | -| `VAE` | VAE | はい | - | 参照画像を潜在空間にエンコードするために使用されるVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオフレームの幅（ピクセル単位、デフォルト: 832、16で割り切れる必要があります） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオフレームの高さ（ピクセル単位、デフォルト: 480、16で割り切れる必要があります） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 生成されるビデオシーケンスのフレーム数（デフォルト: 97、(length - 1) が4で割り切れる必要があります） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成するビデオシーケンスの数（デフォルト: 1） | -| `オーディオエンコーダー出力` | AUDIOENCODEROUTPUT | いいえ | - | オーディオコンテンツに基づいてビデオ生成に影響を与える可能性がある、オプションのオーディオエンコードデータ | -| `参照画像` | IMAGE | いいえ | - | ビデオ生成のスタイルとコンテンツをガイドするために使用される、オプションの参照画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 所望のコンテンツに向けてビデオ生成を導く、ポジティブな条件付け入力 | CONDITIONING | はい | - | +| `ネガティブ` | 不要なコンテンツからビデオ生成を遠ざける、ネガティブな条件付け入力 | CONDITIONING | はい | - | +| `VAE` | 参照画像を潜在空間にエンコードするために使用されるVAEモデル | VAE | はい | - | +| `幅` | 出力ビデオフレームの幅（ピクセル単位、デフォルト: 832、16で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力ビデオフレームの高さ（ピクセル単位、デフォルト: 480、16で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | 生成されるビデオシーケンスのフレーム数（デフォルト: 97、(length - 1) が4で割り切れる必要があります） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 同時に生成するビデオシーケンスの数（デフォルト: 1） | INT | はい | 1 ～ 4096 | +| `オーディオエンコーダー出力` | オーディオコンテンツに基づいてビデオ生成に影響を与える可能性がある、オプションのオーディオエンコードデータ | AUDIOENCODEROUTPUT | いいえ | - | +| `参照画像` | ビデオ生成のスタイルとコンテンツをガイドするために使用される、オプションの参照画像 | IMAGE | いいえ | - | **注記:** 参照画像が提供された場合、それはエンコードされ、ポジティブ条件付けとネガティブ条件付けの両方に追加されます。オーディオエンコーダ出力が提供された場合、それは処理され、条件付けデータに組み込まれます。どちらも提供されない場合は、参照潜在変数とオーディオ埋め込みの両方にゼロ埋めされたプレースホルダーテンソルが使用されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 参照画像やオーディオ埋め込みが組み込まれた、修正済みのポジティブ条件付け | -| `潜在表現` | CONDITIONING | 参照画像やオーディオ埋め込みが組み込まれた、修正済みのネガティブ条件付け | -| `latent` | LATENT | ビデオシーケンスデータを含む、生成された潜在表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 参照画像やオーディオ埋め込みが組み込まれた、修正済みのポジティブ条件付け | CONDITIONING | +| `潜在表現` | 参照画像やオーディオ埋め込みが組み込まれた、修正済みのネガティブ条件付け | CONDITIONING | +| `latent` | ビデオシーケンスデータを含む、生成された潜在表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanHuMoImageToVideo/ja.md) --- **Source fingerprint (SHA-256):** `6301671d04748ce80c561a65df80c7ca146b91bcce8851872df40211af29fd39` diff --git a/ja/built-in-nodes/WanImageToImageApi.mdx b/ja/built-in-nodes/WanImageToImageApi.mdx index ef7b4eba6..8a981f1ca 100644 --- a/ja/built-in-nodes/WanImageToImageApi.mdx +++ b/ja/built-in-nodes/WanImageToImageApi.mdx @@ -5,8 +5,6 @@ sidebarTitle: "WanImageToImageApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToImageApi/ja.md) - 以下が翻訳結果です。 --- @@ -15,22 +13,24 @@ Wan Image to Image ノードは、1 枚または 2 枚の入力画像とテキ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | "wan2.5-i2i-preview" | 使用するモデル（デフォルト："wan2.5-i2i-preview"）。 | -| `画像` | IMAGE | はい | - | 単一画像の編集、または複数画像の合成。最大 2 枚の画像。 | -| `プロンプト` | STRING | はい | - | 要素や視覚的特徴を説明するプロンプト。英語と中国語に対応（デフォルト：空）。 | -| `ネガティブプロンプト` | STRING | いいえ | - | 避けるべき内容を説明するネガティブプロンプト（デフォルト：空）。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成に使用するシード値（デフォルト：0）。 | -| `透かし` | BOOLEAN | いいえ | - | 結果に AI 生成の透かしを追加するかどうか（デフォルト：false）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 使用するモデル（デフォルト："wan2.5-i2i-preview"）。 | COMBO | はい | "wan2.5-i2i-preview" | +| `画像` | 単一画像の編集、または複数画像の合成。最大 2 枚の画像。 | IMAGE | はい | - | +| `プロンプト` | 要素や視覚的特徴を説明するプロンプト。英語と中国語に対応（デフォルト：空）。 | STRING | はい | - | +| `ネガティブプロンプト` | 避けるべき内容を説明するネガティブプロンプト（デフォルト：空）。 | STRING | いいえ | - | +| `シード` | 生成に使用するシード値（デフォルト：0）。 | INT | いいえ | 0 ～ 2147483647 | +| `透かし` | 結果に AI 生成の透かしを追加するかどうか（デフォルト：false）。 | BOOLEAN | いいえ | - | **注記：** このノードは、入力画像を正確に 1 枚または 2 枚受け付けます。2 枚を超える画像を入力した場合、または画像がまったくない場合、ノードはエラーを返します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | 入力画像とテキストプロンプトに基づいて生成された画像。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | 入力画像とテキストプロンプトに基づいて生成された画像。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToImageApi/ja.md) --- **Source fingerprint (SHA-256):** `d69811ddaba718e5468f539fb9b25827efdf79f3ee9cbf31ad8f9387cea9b9be` diff --git a/ja/built-in-nodes/WanImageToVideo.mdx b/ja/built-in-nodes/WanImageToVideo.mdx index b94f265da..47b45fbe8 100644 --- a/ja/built-in-nodes/WanImageToVideo.mdx +++ b/ja/built-in-nodes/WanImageToVideo.mdx @@ -5,35 +5,35 @@ sidebarTitle: "WanImageToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideo/ja.md) - 以下が翻訳結果です。 WanImageToVideo ノードは、動画生成タスクのための条件付けと潜在表現を準備します。空の潜在空間を動画生成用に作成し、オプションで開始画像とCLIPビジョン出力を組み込んで動画生成プロセスをガイドすることができます。このノードは、提供された画像とビジョンデータに基づいて、ポジティブおよびネガティブの両方の条件付け入力を変更します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 生成をガイドするためのポジティブ条件付け入力 | -| `ネガティブ` | CONDITIONING | はい | - | 生成をガイドするためのネガティブ条件付け入力 | -| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするためのVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（デフォルト: 832、ステップ: 16） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（デフォルト: 480、ステップ: 16） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 動画のフレーム数（デフォルト: 81、ステップ: 4） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | バッチで生成する動画の数（デフォルト: 1） | -| `clipビジョン出力` | CLIP_VISION_OUTPUT | いいえ | - | 追加の条件付けのためのオプションのCLIPビジョン出力 | -| `開始画像` | IMAGE | いいえ | - | 動画生成を初期化するためのオプションの開始画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 生成をガイドするためのポジティブ条件付け入力 | CONDITIONING | はい | - | +| `ネガティブ` | 生成をガイドするためのネガティブ条件付け入力 | CONDITIONING | はい | - | +| `vae` | 画像を潜在空間にエンコードするためのVAEモデル | VAE | はい | - | +| `幅` | 出力動画の幅（デフォルト: 832、ステップ: 16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力動画の高さ（デフォルト: 480、ステップ: 16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | 動画のフレーム数（デフォルト: 81、ステップ: 4） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | バッチで生成する動画の数（デフォルト: 1） | INT | はい | 1 ～ 4096 | +| `clipビジョン出力` | 追加の条件付けのためのオプションのCLIPビジョン出力 | CLIP_VISION_OUTPUT | いいえ | - | +| `開始画像` | 動画生成を初期化するためのオプションの開始画像 | IMAGE | いいえ | - | **注記:** `start_image` が提供されると、ノードは画像シーケンスをエンコードし、条件付け入力にマスキングを適用します。`clip_vision_output` パラメータが提供されると、ポジティブ入力とネガティブ入力の両方にビジョンベースの条件付けが追加されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 画像とビジョンデータが組み込まれた、変更後のポジティブ条件付け | -| `潜在` | CONDITIONING | 画像とビジョンデータが組み込まれた、変更後のネガティブ条件付け | -| `latent` | LATENT | 動画生成用に準備された空の潜在空間テンソル | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 画像とビジョンデータが組み込まれた、変更後のポジティブ条件付け | CONDITIONING | +| `潜在` | 画像とビジョンデータが組み込まれた、変更後のネガティブ条件付け | CONDITIONING | +| `latent` | 動画生成用に準備された空の潜在空間テンソル | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideo/ja.md) --- **Source fingerprint (SHA-256):** `e9f4350c43e48351523c04d82675c24f868df7b2109530c32b8e752a3ab61e8b` diff --git a/ja/built-in-nodes/WanImageToVideoApi.mdx b/ja/built-in-nodes/WanImageToVideoApi.mdx index 59e835191..c48fde8a2 100644 --- a/ja/built-in-nodes/WanImageToVideoApi.mdx +++ b/ja/built-in-nodes/WanImageToVideoApi.mdx @@ -5,28 +5,26 @@ sidebarTitle: "WanImageToVideoApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideoApi/ja.md) - 以下が翻訳結果です。 Wan Image to Video ノードは、1枚の入力画像とテキストプロンプトから動画を生成します。提供された画像を最初のフレームとして使用し、説明に基づいて動画シーケンスを作成します。解像度、長さ、オーディオ、その他の高度な設定オプションを備えています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | "wan2.5-i2v-preview"
"wan2.6-i2v" | 使用するモデル（デフォルト: "wan2.6-i2v"） | -| `画像` | IMAGE | はい | - | 動画生成の最初のフレームとして使用する入力画像。正確に1枚の画像が必要です。 | -| `プロンプト` | STRING | はい | - | 要素と視覚的特徴を説明するプロンプト。英語と中国語に対応（デフォルト: 空）。 | -| `ネガティブプロンプト` | STRING | いいえ | - | 避けるべき内容を説明するネガティブプロンプト（デフォルト: 空）。 | -| `解像度` | COMBO | いいえ | "480P"
"720P"
"1080P" | 動画の解像度品質（デフォルト: "720P"）。Wan 2.6 モデルは 480P をサポートしていません。 | -| `長さ` | INT | いいえ | 5-15（ステップ: 5） | 生成される動画の長さ（秒）。15秒の長さは Wan 2.6 モデルでのみサポートされています（デフォルト: 5）。 | -| `オーディオ` | AUDIO | いいえ | - | オーディオには、明瞭で大きな声が含まれている必要があり、余計なノイズや背景音楽は含まれていてはなりません。オーディオが提供される場合、その長さは 3.0 秒から 29.0 秒の間である必要があります。 | -| `シード` | INT | いいえ | 0-2147483647 | 生成に使用するシード値（デフォルト: 0）。 | -| `オーディオ生成` | BOOLEAN | いいえ | - | オーディオ入力が提供されない場合、自動的にオーディオを生成します（デフォルト: False）。 | -| `プロンプト拡張` | BOOLEAN | いいえ | - | AI アシスタンスでプロンプトを強化するかどうか（デフォルト: True）。 | -| `透かし` | BOOLEAN | いいえ | - | 結果に AI 生成ウォーターマークを追加するかどうか（デフォルト: False）。 | -| `ショットタイプ` | COMBO | いいえ | "single"
"multi" | 生成される動画のショットタイプを指定します。つまり、動画が単一の連続ショットか、カットを含む複数ショットかを指定します。このパラメータは、prompt_extend が True の場合にのみ有効です（デフォルト: "single"）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 使用するモデル（デフォルト: "wan2.6-i2v"） | COMBO | はい | "wan2.5-i2v-preview"
"wan2.6-i2v" | +| `画像` | 動画生成の最初のフレームとして使用する入力画像。正確に1枚の画像が必要です。 | IMAGE | はい | - | +| `プロンプト` | 要素と視覚的特徴を説明するプロンプト。英語と中国語に対応（デフォルト: 空）。 | STRING | はい | - | +| `ネガティブプロンプト` | 避けるべき内容を説明するネガティブプロンプト（デフォルト: 空）。 | STRING | いいえ | - | +| `解像度` | 動画の解像度品質（デフォルト: "720P"）。Wan 2.6 モデルは 480P をサポートしていません。 | COMBO | いいえ | "480P"
"720P"
"1080P" | +| `長さ` | 生成される動画の長さ（秒）。15秒の長さは Wan 2.6 モデルでのみサポートされています（デフォルト: 5）。 | INT | いいえ | 5-15（ステップ: 5） | +| `オーディオ` | オーディオには、明瞭で大きな声が含まれている必要があり、余計なノイズや背景音楽は含まれていてはなりません。オーディオが提供される場合、その長さは 3.0 秒から 29.0 秒の間である必要があります。 | AUDIO | いいえ | - | +| `シード` | 生成に使用するシード値（デフォルト: 0）。 | INT | いいえ | 0-2147483647 | +| `オーディオ生成` | オーディオ入力が提供されない場合、自動的にオーディオを生成します（デフォルト: False）。 | BOOLEAN | いいえ | - | +| `プロンプト拡張` | AI アシスタンスでプロンプトを強化するかどうか（デフォルト: True）。 | BOOLEAN | いいえ | - | +| `透かし` | 結果に AI 生成ウォーターマークを追加するかどうか（デフォルト: False）。 | BOOLEAN | いいえ | - | +| `ショットタイプ` | 生成される動画のショットタイプを指定します。つまり、動画が単一の連続ショットか、カットを含む複数ショットかを指定します。このパラメータは、prompt_extend が True の場合にのみ有効です（デフォルト: "single"）。 | COMBO | いいえ | "single"
"multi" | **制約事項:** @@ -37,9 +35,11 @@ Wan Image to Video ノードは、1枚の入力画像とテキストプロンプ ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 入力画像とプロンプトに基づいて生成された動画。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力画像とプロンプトに基づいて生成された動画。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideoApi/ja.md) --- **Source fingerprint (SHA-256):** `ad4947dbb9c12ebb97ace99cd447431ba6db88a3b74239099fcbea501cff71f0` diff --git a/ja/built-in-nodes/WanInfiniteTalkToVideo.mdx b/ja/built-in-nodes/WanInfiniteTalkToVideo.mdx index beeee2d5c..3a443d74a 100644 --- a/ja/built-in-nodes/WanInfiniteTalkToVideo.mdx +++ b/ja/built-in-nodes/WanInfiniteTalkToVideo.mdx @@ -5,32 +5,30 @@ sidebarTitle: "WanInfiniteTalkToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanInfiniteTalkToVideo/ja.md) - WanInfiniteTalkToVideo ノードは、音声入力からビデオシーケンスを生成します。このノードは、1人または2人の話者から抽出された音声特徴量を条件として、ビデオ拡散モデルを使用し、トーキングヘッドビデオの潜在表現を生成します。新しいシーケンスを生成することも、モーションコンテキストとして以前のフレームを使用して既存のシーケンスを拡張することもできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モード` | COMBO | はい | `"single_speaker"`
`"two_speakers"` | 音声入力モード。`"single_speaker"` は1つの音声入力を使用します。`"two_speakers"` は2人目の話者と対応するマスクの入力を有効にします。 | -| `モデル` | MODEL | はい | - | ベースとなるビデオ拡散モデル。 | -| `モデルパッチ` | MODELPATCH | はい | - | 音声投影レイヤーを含むモデルパッチ。 | -| `ポジティブ` | CONDITIONING | はい | - | 生成をガイドするポジティブ条件付け。 | -| `ネガティブ` | CONDITIONING | はい | - | 生成をガイドするネガティブ条件付け。 | -| `vae` | VAE | はい | - | 画像を潜在空間にエンコードし、潜在空間からデコードするために使用されるVAE。 | -| `幅` | INT | いいえ | 16 - MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位）。16で割り切れる必要があります。（デフォルト: 832） | -| `高さ` | INT | いいえ | 16 - MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位）。16で割り切れる必要があります。（デフォルト: 480） | -| `長さ` | INT | いいえ | 1 - MAX_RESOLUTION | 生成するフレーム数。（デフォルト: 81） | -| `clipビジョン出力` | CLIPVISIONOUTPUT | いいえ | - | 追加の条件付けのためのオプションのCLIPビジョン出力。 | -| `開始画像` | IMAGE | いいえ | - | ビデオシーケンスを初期化するためのオプションの開始画像。 | -| `オーディオエンコーダ出力1` | AUDIOENCODEROUTPUT | はい | - | 最初の話者の特徴量を含むプライマリ音声エンコーダ出力。 | -| `モーションフレーム数` | INT | いいえ | 1 - 33 | シーケンスを拡張する際にモーションコンテキストとして使用する過去のフレーム数。（デフォルト: 9） | -| `オーディオスケール` | FLOAT | いいえ | -10.0 - 10.0 | 音声条件付けに適用されるスケーリング係数。（デフォルト: 1.0） | -| `前のフレーム` | IMAGE | いいえ | - | 拡張元となるオプションの以前のビデオフレーム。 | -| `audio_encoder_output_2` | AUDIOENCODEROUTPUT | いいえ | - | 2番目の音声エンコーダ出力。`モード` が `"two_speakers"` に設定されている場合に必須です。 | -| `mask_1` | MASK | いいえ | - | 最初の話者のマスク。2つの音声入力を使用する場合に必須です。 | -| `mask_2` | MASK | いいえ | - | 2番目の話者のマスク。2つの音声入力を使用する場合に必須です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モード` | 音声入力モード。`"single_speaker"` は1つの音声入力を使用します。`"two_speakers"` は2人目の話者と対応するマスクの入力を有効にします。 | COMBO | はい | `"single_speaker"`
`"two_speakers"` | +| `モデル` | ベースとなるビデオ拡散モデル。 | MODEL | はい | - | +| `モデルパッチ` | 音声投影レイヤーを含むモデルパッチ。 | MODELPATCH | はい | - | +| `ポジティブ` | 生成をガイドするポジティブ条件付け。 | CONDITIONING | はい | - | +| `ネガティブ` | 生成をガイドするネガティブ条件付け。 | CONDITIONING | はい | - | +| `vae` | 画像を潜在空間にエンコードし、潜在空間からデコードするために使用されるVAE。 | VAE | はい | - | +| `幅` | 出力ビデオの幅（ピクセル単位）。16で割り切れる必要があります。（デフォルト: 832） | INT | いいえ | 16 - MAX_RESOLUTION | +| `高さ` | 出力ビデオの高さ（ピクセル単位）。16で割り切れる必要があります。（デフォルト: 480） | INT | いいえ | 16 - MAX_RESOLUTION | +| `長さ` | 生成するフレーム数。（デフォルト: 81） | INT | いいえ | 1 - MAX_RESOLUTION | +| `clipビジョン出力` | 追加の条件付けのためのオプションのCLIPビジョン出力。 | CLIPVISIONOUTPUT | いいえ | - | +| `開始画像` | ビデオシーケンスを初期化するためのオプションの開始画像。 | IMAGE | いいえ | - | +| `オーディオエンコーダ出力1` | 最初の話者の特徴量を含むプライマリ音声エンコーダ出力。 | AUDIOENCODEROUTPUT | はい | - | +| `モーションフレーム数` | シーケンスを拡張する際にモーションコンテキストとして使用する過去のフレーム数。（デフォルト: 9） | INT | いいえ | 1 - 33 | +| `オーディオスケール` | 音声条件付けに適用されるスケーリング係数。（デフォルト: 1.0） | FLOAT | いいえ | -10.0 - 10.0 | +| `前のフレーム` | 拡張元となるオプションの以前のビデオフレーム。 | IMAGE | いいえ | - | +| `audio_encoder_output_2` | 2番目の音声エンコーダ出力。`モード` が `"two_speakers"` に設定されている場合に必須です。 | AUDIOENCODEROUTPUT | いいえ | - | +| `mask_1` | 最初の話者のマスク。2つの音声入力を使用する場合に必須です。 | MASK | いいえ | - | +| `mask_2` | 2番目の話者のマスク。2つの音声入力を使用する場合に必須です。 | MASK | いいえ | - | **パラメータ制約:** @@ -41,13 +39,15 @@ WanInfiniteTalkToVideo ノードは、音声入力からビデオシーケンス ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ポジティブ` | MODEL | 音声条件付けが適用されたパッチ済みモデル。 | -| `ネガティブ` | CONDITIONING | 追加コンテキスト（開始画像、CLIPビジョンなど）で変更される可能性のあるポジティブ条件付け。 | -| `潜在` | CONDITIONING | 追加コンテキストで変更される可能性のあるネガティブ条件付け。 | -| `トリム画像` | LATENT | 潜在空間で生成されたビデオシーケンス。 | -| `trim_image` | INT | シーケンスを拡張する際に、モーションコンテキストの先頭からトリミングする必要があるフレーム数。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ポジティブ` | 音声条件付けが適用されたパッチ済みモデル。 | MODEL | +| `ネガティブ` | 追加コンテキスト（開始画像、CLIPビジョンなど）で変更される可能性のあるポジティブ条件付け。 | CONDITIONING | +| `潜在` | 追加コンテキストで変更される可能性のあるネガティブ条件付け。 | CONDITIONING | +| `トリム画像` | 潜在空間で生成されたビデオシーケンス。 | LATENT | +| `trim_image` | シーケンスを拡張する際に、モーションコンテキストの先頭からトリミングする必要があるフレーム数。 | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanInfiniteTalkToVideo/ja.md) --- **Source fingerprint (SHA-256):** `6bb976da5cac0b61edb7d4c9d206c7c7ea9ffc0e982034c23c7f2e891e972888` diff --git a/ja/built-in-nodes/WanMoveConcatTrack.mdx b/ja/built-in-nodes/WanMoveConcatTrack.mdx index 01002f421..545d7bd5f 100644 --- a/ja/built-in-nodes/WanMoveConcatTrack.mdx +++ b/ja/built-in-nodes/WanMoveConcatTrack.mdx @@ -5,22 +5,22 @@ sidebarTitle: "WanMoveConcatTrack" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveConcatTrack/ja.md) - WanMoveConcatTrack ノードは、2つのモーショントラッキングデータセットを結合し、1つのより長いシーケンスにします。このノードは、入力されたトラックのパスと可視性マスクをそれぞれの次元に沿って結合することで機能します。トラック入力が1つだけ提供された場合は、そのデータを変更せずにそのまま通過させます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `トラック1` | TRACKS | はい | | 結合される最初のモーショントラッキングデータセットです。 | -| `トラック2` | TRACKS | いいえ | | オプションの2番目のモーショントラッキングデータセットです。提供されない場合、`トラック1` がそのまま出力に渡されます。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `トラック1` | 結合される最初のモーショントラッキングデータセットです。 | TRACKS | はい | | +| `トラック2` | オプションの2番目のモーショントラッキングデータセットです。提供されない場合、`トラック1` がそのまま出力に渡されます。 | TRACKS | いいえ | | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `tracks` | TRACKS | 結合されたモーショントラッキングデータです。入力からの `track_path` と `track_visibility` を結合したものを含みます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `tracks` | 結合されたモーショントラッキングデータです。入力からの `track_path` と `track_visibility` を結合したものを含みます。 | TRACKS | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveConcatTrack/ja.md) --- **Source fingerprint (SHA-256):** `d9b4c00291c6fa8e17bf54ecdcd16f7f6874159fe8cebebe66568dc2a744868f` diff --git a/ja/built-in-nodes/WanMoveTrackToVideo.mdx b/ja/built-in-nodes/WanMoveTrackToVideo.mdx index bf01708c4..99872d8d7 100644 --- a/ja/built-in-nodes/WanMoveTrackToVideo.mdx +++ b/ja/built-in-nodes/WanMoveTrackToVideo.mdx @@ -5,35 +5,35 @@ sidebarTitle: "WanMoveTrackToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTrackToVideo/ja.md) - WanMoveTrackToVideo ノードは、動画生成用のコンディショニングと潜在空間データを準備し、オプションで動き追跡情報を組み込みます。開始画像シーケンスを潜在表現にエンコードし、オブジェクトトラックからの位置データをブレンドして、生成される動画の動きをガイドします。このノードは、修正されたポジティブおよびネガティブコンディショニングと、動画モデル用に準備された空の潜在テンソルを出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 修正されるポジティブコンディショニング入力。 | -| `negative` | CONDITIONING | はい | - | 修正されるネガティブコンディショニング入力。 | -| `vae` | VAE | はい | - | 開始画像を潜在空間にエンコードするために使用されるVAEモデル。 | -| `トラック` | TRACKS | いいえ | - | オブジェクトのパスを含むオプションの動き追跡データ。 | -| `強度` | FLOAT | いいえ | 0.0 - 100.0 | トラックコンディショニングの強度。（デフォルト：1.0） | -| `幅` | INT | いいえ | 16 - MAX_RESOLUTION | 出力動画の幅。16で割り切れる必要があります。（デフォルト：832） | -| `高さ` | INT | いいえ | 16 - MAX_RESOLUTION | 出力動画の高さ。16で割り切れる必要があります。（デフォルト：480） | -| `長さ` | INT | いいえ | 1 - MAX_RESOLUTION | 動画シーケンスのフレーム数。（デフォルト：81） | -| `バッチサイズ` | INT | いいえ | 1 - 4096 | 潜在出力のバッチサイズ。（デフォルト：1） | -| `開始画像` | IMAGE | はい | - | エンコードする開始画像または画像シーケンス。 | -| `clip_vision_output` | CLIPVISIONOUTPUT | いいえ | - | コンディショニングに追加するオプションのCLIPビジョンモデル出力。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `positive` | 修正されるポジティブコンディショニング入力。 | CONDITIONING | はい | - | +| `negative` | 修正されるネガティブコンディショニング入力。 | CONDITIONING | はい | - | +| `vae` | 開始画像を潜在空間にエンコードするために使用されるVAEモデル。 | VAE | はい | - | +| `トラック` | オブジェクトのパスを含むオプションの動き追跡データ。 | TRACKS | いいえ | - | +| `強度` | トラックコンディショニングの強度。（デフォルト：1.0） | FLOAT | いいえ | 0.0 - 100.0 | +| `幅` | 出力動画の幅。16で割り切れる必要があります。（デフォルト：832） | INT | いいえ | 16 - MAX_RESOLUTION | +| `高さ` | 出力動画の高さ。16で割り切れる必要があります。（デフォルト：480） | INT | いいえ | 16 - MAX_RESOLUTION | +| `長さ` | 動画シーケンスのフレーム数。（デフォルト：81） | INT | いいえ | 1 - MAX_RESOLUTION | +| `バッチサイズ` | 潜在出力のバッチサイズ。（デフォルト：1） | INT | いいえ | 1 - 4096 | +| `開始画像` | エンコードする開始画像または画像シーケンス。 | IMAGE | はい | - | +| `clip_vision_output` | コンディショニングに追加するオプションのCLIPビジョンモデル出力。 | CLIPVISIONOUTPUT | いいえ | - | **注意:** `strength` パラメータは、`tracks` が指定された場合にのみ効果があります。`tracks` が指定されていない場合、または `strength` が 0.0 の場合は、トラックコンディショニングは適用されません。`start_image` はコンディショニング用の潜在画像とマスクを作成するために使用されます。これが指定されていない場合、ノードはコンディショニングをそのまま通過させ、空の潜在データを出力します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `negative` | CONDITIONING | `concat_latent_image`、`concat_mask`、`clip_vision_output` を潜在的に含む、修正されたポジティブコンディショニング。 | -| `latent` | CONDITIONING | `concat_latent_image`、`concat_mask`、`clip_vision_output` を潜在的に含む、修正されたネガティブコンディショニング。 | -| `latent` | LATENT | `バッチサイズ`、`長さ`、`高さ`、`幅` の入力によって形状が決定される空の潜在テンソル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `negative` | `concat_latent_image`、`concat_mask`、`clip_vision_output` を潜在的に含む、修正されたポジティブコンディショニング。 | CONDITIONING | +| `latent` | `concat_latent_image`、`concat_mask`、`clip_vision_output` を潜在的に含む、修正されたネガティブコンディショニング。 | CONDITIONING | +| `latent` | `バッチサイズ`、`長さ`、`高さ`、`幅` の入力によって形状が決定される空の潜在テンソル。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTrackToVideo/ja.md) --- **Source fingerprint (SHA-256):** `9677addf5b94b42efd3015f51380c1fa9b16d4a5105cc7f24de0be34c0042bbc` diff --git a/ja/built-in-nodes/WanMoveTracksFromCoords.mdx b/ja/built-in-nodes/WanMoveTracksFromCoords.mdx index 2540b516e..6f72f16db 100644 --- a/ja/built-in-nodes/WanMoveTracksFromCoords.mdx +++ b/ja/built-in-nodes/WanMoveTracksFromCoords.mdx @@ -5,25 +5,25 @@ sidebarTitle: "WanMoveTracksFromCoords" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/ja.md) - WanMoveTracksFromCoords ノードは、JSON形式の座標文字列からモーショントラックを生成します。座標データをテンソル形式に変換し、他の動画処理ノードで使用できるようにします。また、オプションでマスクを適用して、時間経過に伴うトラックの可視性を制御することもできます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `トラック座標` | STRING | いいえ | N/A | トラックの座標データを含むJSON形式の文字列です。デフォルト値は空のリスト（`"[]"`）です。 | -| `トラックマスク` | MASK | いいえ | N/A | オプションのマスクです。指定された場合、ノードはこれを使用してフレームごとの各トラックの可視性を決定します。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `トラック座標` | トラックの座標データを含むJSON形式の文字列です。デフォルト値は空のリスト（`"[]"`）です。 | STRING | いいえ | N/A | +| `トラックマスク` | オプションのマスクです。指定された場合、ノードはこれを使用してフレームごとの各トラックの可視性を決定します。 | MASK | いいえ | N/A | **注記：** `track_coords` 入力は特定のJSON構造を想定しています。これはトラックのリストであり、各トラックはフレームのリスト、各フレームは `x` と `y` 座標を持つオブジェクトである必要があります。フレーム数はすべてのトラックで一貫している必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `トラック長` | TRACKS | 生成されたトラックデータです。各トラックのパス座標と可視性情報を含みます。 | -| `track_length` | INT | 生成されたトラックの総フレーム数です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `トラック長` | 生成されたトラックデータです。各トラックのパス座標と可視性情報を含みます。 | TRACKS | +| `track_length` | 生成されたトラックの総フレーム数です。 | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/ja.md) --- **Source fingerprint (SHA-256):** `106b05b3bdb5ede6e31216b9f3c14160630df0eee1f4e8a645c2b6cf9fbecf8c` diff --git a/ja/built-in-nodes/WanMoveVisualizeTracks.mdx b/ja/built-in-nodes/WanMoveVisualizeTracks.mdx index a15957a44..297a275d5 100644 --- a/ja/built-in-nodes/WanMoveVisualizeTracks.mdx +++ b/ja/built-in-nodes/WanMoveVisualizeTracks.mdx @@ -5,30 +5,30 @@ sidebarTitle: "WanMoveVisualizeTracks" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveVisualizeTracks/ja.md) - ## 概要 WanMoveVisualizeTracks ノードは、画像シーケンスまたは動画フレーム上にモーショントラッキングデータをオーバーレイ表示します。トラッキングされたポイントの移動経路や現在位置を視覚的に描画することで、モーションデータを可視化し、分析しやすくします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `画像` | IMAGE | はい | - | トラックを可視化する対象の入力画像シーケンスまたは動画フレーム。 | -| `トラック` | TRACKS | いいえ | - | ポイントの経路と可視性情報を含むモーショントラッキングデータ。指定しない場合、入力画像はそのまま出力されます。 | -| `線の解像度` | INT | はい | 1 - 1024 | 各トラックの軌跡ラインを描画する際に使用する過去フレーム数（デフォルト：24）。 | -| `円のサイズ` | INT | はい | 1 - 128 | 各トラックの現在位置に描画される円のサイズ（デフォルト：12）。 | -| `不透明度` | FLOAT | はい | 0.0 - 1.0 | 描画されるトラックオーバーレイの不透明度（デフォルト：0.75）。 | -| `線の太さ` | INT | はい | 1 - 128 | トラック経路の描画に使用する線の太さ（デフォルト：16）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | トラックを可視化する対象の入力画像シーケンスまたは動画フレーム。 | IMAGE | はい | - | +| `トラック` | ポイントの経路と可視性情報を含むモーショントラッキングデータ。指定しない場合、入力画像はそのまま出力されます。 | TRACKS | いいえ | - | +| `線の解像度` | 各トラックの軌跡ラインを描画する際に使用する過去フレーム数（デフォルト：24）。 | INT | はい | 1 - 1024 | +| `円のサイズ` | 各トラックの現在位置に描画される円のサイズ（デフォルト：12）。 | INT | はい | 1 - 128 | +| `不透明度` | 描画されるトラックオーバーレイの不透明度（デフォルト：0.75）。 | FLOAT | はい | 0.0 - 1.0 | +| `線の太さ` | トラック経路の描画に使用する線の太さ（デフォルト：16）。 | INT | はい | 1 - 128 | **注意：** 入力画像の枚数が提供された `tracks` データのフレーム数と一致しない場合、画像シーケンスはトラック長に合わせて繰り返されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | モーショントラッキングデータがオーバーレイとして可視化された画像シーケンス。`トラック` が指定されなかった場合は、元の入力画像がそのまま返されます。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | モーショントラッキングデータがオーバーレイとして可視化された画像シーケンス。`トラック` が指定されなかった場合は、元の入力画像がそのまま返されます。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveVisualizeTracks/ja.md) --- **Source fingerprint (SHA-256):** `b32169a8c9d3a2dd74463c81f6bd7d9a4bc66486af156843f32b0874f0eaeb8f` diff --git a/ja/built-in-nodes/WanPhantomSubjectToVideo.mdx b/ja/built-in-nodes/WanPhantomSubjectToVideo.mdx index 691727bbf..3e2db61e3 100644 --- a/ja/built-in-nodes/WanPhantomSubjectToVideo.mdx +++ b/ja/built-in-nodes/WanPhantomSubjectToVideo.mdx @@ -5,35 +5,35 @@ sidebarTitle: "WanPhantomSubjectToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/ja.md) - このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/en.md) WanPhantomSubjectToVideo ノードは、条件付け入力とオプションの参照画像を処理してビデオコンテンツを生成します。ビデオ生成用の潜在表現を作成し、入力画像が提供された場合には、その画像からの視覚的なガイダンスを組み込むことができます。このノードは、ビデオモデル向けに時間次元の連結を行った条件付けデータを準備し、修正された条件付けと生成された潜在ビデオデータを出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | ビデオ生成を導くためのポジティブ条件付け入力 | -| `ネガティブ` | CONDITIONING | はい | - | 特定の特性を避けるためのネガティブ条件付け入力 | -| `VAE` | VAE | はい | - | 画像が提供された場合にエンコードするためのVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位、デフォルト：832、16で割り切れる必要があります） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位、デフォルト：480、16で割り切れる必要があります） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 生成されるビデオのフレーム数（デフォルト：81、4で割り切れる必要があります） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成するビデオの数（デフォルト：1） | -| `画像` | IMAGE | いいえ | - | 時間次元の条件付けのためのオプションの参照画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | ビデオ生成を導くためのポジティブ条件付け入力 | CONDITIONING | はい | - | +| `ネガティブ` | 特定の特性を避けるためのネガティブ条件付け入力 | CONDITIONING | はい | - | +| `VAE` | 画像が提供された場合にエンコードするためのVAEモデル | VAE | はい | - | +| `幅` | 出力ビデオの幅（ピクセル単位、デフォルト：832、16で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力ビデオの高さ（ピクセル単位、デフォルト：480、16で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | 生成されるビデオのフレーム数（デフォルト：81、4で割り切れる必要があります） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 同時に生成するビデオの数（デフォルト：1） | INT | はい | 1 ～ 4096 | +| `画像` | 時間次元の条件付けのためのオプションの参照画像 | IMAGE | いいえ | - | **注記：** `images` が提供された場合、指定された `width` と `height` に自動的にアップスケールされ、処理には最初の `length` フレームのみが使用されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブテキスト` | CONDITIONING | 画像が提供された場合に時間次元の連結が行われた、修正済みポジティブ条件付け | -| `ネガティブ画像テキスト` | CONDITIONING | 画像が提供された場合に時間次元の連結が行われた、修正済みネガティブ条件付け | -| `潜在表現` | CONDITIONING | 画像が提供された場合に時間次元の連結がゼロに設定された、ネガティブ条件付け | -| `latent` | LATENT | 指定された寸法と長さで生成された潜在ビデオ表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブテキスト` | 画像が提供された場合に時間次元の連結が行われた、修正済みポジティブ条件付け | CONDITIONING | +| `ネガティブ画像テキスト` | 画像が提供された場合に時間次元の連結が行われた、修正済みネガティブ条件付け | CONDITIONING | +| `潜在表現` | 画像が提供された場合に時間次元の連結がゼロに設定された、ネガティブ条件付け | CONDITIONING | +| `latent` | 指定された寸法と長さで生成された潜在ビデオ表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/ja.md) --- **Source fingerprint (SHA-256):** `2e3e8277dca9e998220fc5939c2cc72fdc15e80cc4b95daa33f5b92e2270dd73` diff --git a/ja/built-in-nodes/WanReferenceVideoApi.mdx b/ja/built-in-nodes/WanReferenceVideoApi.mdx index 0194c9aa9..035d6d5d2 100644 --- a/ja/built-in-nodes/WanReferenceVideoApi.mdx +++ b/ja/built-in-nodes/WanReferenceVideoApi.mdx @@ -5,8 +5,6 @@ sidebarTitle: "WanReferenceVideoApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanReferenceVideoApi/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -15,17 +13,17 @@ Wan Reference to Video ノードは、1つ以上の入力参照動画の見た ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | `"wan2.6-r2v"` | 動画生成に使用する特定のAIモデル。 | -| `プロンプト` | STRING | はい | - | 新しい動画の要素と視覚的特徴を説明します。英語と中国語に対応しています。`character1` や `character2` のような識別子を使用して、参照動画のキャラクターを指定できます。 | -| `ネガティブプロンプト` | STRING | いいえ | - | 生成される動画で避けたい要素や特徴を説明します。 | -| `参照動画` | AUTOGROW | はい | - | キャラクターの見た目と音声の参照として使用する動画入力のリスト。少なくとも1つの動画を指定する必要があります。各動画には `character1`、`character2`、`character3` などの名前を割り当てることができます。 | -| `サイズ` | COMBO | はい | `"720p: 1:1 (960x960)"`
`"720p: 16:9 (1280x720)"`
`"720p: 9:16 (720x1280)"`
`"720p: 4:3 (1088x832)"`
`"720p: 3:4 (832x1088)"`
`"1080p: 1:1 (1440x1440)"`
`"1080p: 16:9 (1920x1080)"`
`"1080p: 9:16 (1080x1920)"`
`"1080p: 4:3 (1632x1248)"`
`"1080p: 3:4 (1248x1632)"` | 出力動画の解像度とアスペクト比。 | -| `長さ` | INT | はい | 5 ～ 10 | 生成される動画の長さ（秒単位）。値は5の倍数である必要があります（デフォルト：5）。 | -| `シード` | INT | いいえ | 0 ～ 2147483647 | 再現可能な結果を得るためのランダムシード値。0を指定するとランダムなシードが生成されます。 | -| `ショットタイプ` | COMBO | はい | `"single"`
`"multi"` | 生成される動画が単一の連続ショットか、カットを含む複数ショットかを指定します。 | -| `ウォーターマーク` | BOOLEAN | いいえ | - | 有効にすると、最終的な動画にAI生成の透かしが追加されます（デフォルト：False）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 動画生成に使用する特定のAIモデル。 | COMBO | はい | `"wan2.6-r2v"` | +| `プロンプト` | 新しい動画の要素と視覚的特徴を説明します。英語と中国語に対応しています。`character1` や `character2` のような識別子を使用して、参照動画のキャラクターを指定できます。 | STRING | はい | - | +| `ネガティブプロンプト` | 生成される動画で避けたい要素や特徴を説明します。 | STRING | いいえ | - | +| `参照動画` | キャラクターの見た目と音声の参照として使用する動画入力のリスト。少なくとも1つの動画を指定する必要があります。各動画には `character1`、`character2`、`character3` などの名前を割り当てることができます。 | AUTOGROW | はい | - | +| `サイズ` | 出力動画の解像度とアスペクト比。 | COMBO | はい | `"720p: 1:1 (960x960)"`
`"720p: 16:9 (1280x720)"`
`"720p: 9:16 (720x1280)"`
`"720p: 4:3 (1088x832)"`
`"720p: 3:4 (832x1088)"`
`"1080p: 1:1 (1440x1440)"`
`"1080p: 16:9 (1920x1080)"`
`"1080p: 9:16 (1080x1920)"`
`"1080p: 4:3 (1632x1248)"`
`"1080p: 3:4 (1248x1632)"` | +| `長さ` | 生成される動画の長さ（秒単位）。値は5の倍数である必要があります（デフォルト：5）。 | INT | はい | 5 ～ 10 | +| `シード` | 再現可能な結果を得るためのランダムシード値。0を指定するとランダムなシードが生成されます。 | INT | いいえ | 0 ～ 2147483647 | +| `ショットタイプ` | 生成される動画が単一の連続ショットか、カットを含む複数ショットかを指定します。 | COMBO | はい | `"single"`
`"multi"` | +| `ウォーターマーク` | 有効にすると、最終的な動画にAI生成の透かしが追加されます（デフォルト：False）。 | BOOLEAN | いいえ | - | **制約事項：** @@ -34,9 +32,11 @@ Wan Reference to Video ノードは、1つ以上の入力参照動画の見た ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 新しく生成された動画ファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 新しく生成された動画ファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanReferenceVideoApi/ja.md) --- **Source fingerprint (SHA-256):** `ed29f0bd3a1b30a81c94896976c4f9ff7bf5d0bcafaba66d70be61fce1418962` diff --git a/ja/built-in-nodes/WanSCAILToVideo.mdx b/ja/built-in-nodes/WanSCAILToVideo.mdx index 120020259..de319affb 100644 --- a/ja/built-in-nodes/WanSCAILToVideo.mdx +++ b/ja/built-in-nodes/WanSCAILToVideo.mdx @@ -5,37 +5,37 @@ sidebarTitle: "WanSCAILToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSCAILToVideo/ja.md) - WanSCAILToVideo ノードは、動画生成のためのコンディショニングと空の潜在空間を準備します。参照画像、ポーズ動画、CLIPビジョン出力などのオプション入力を処理し、それらを動画モデルのポジティブおよびネガティブコンディショニングに埋め込みます。このノードは、変更されたコンディショニングと、指定された動画サイズの空白の潜在テンソルを出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | ポジティブコンディショニング入力です。 | -| `negative` | CONDITIONING | はい | - | ネガティブコンディショニング入力です。 | -| `vae` | VAE | はい | - | 画像と動画フレームのエンコードに使用されるVAEモデルです。 | -| `幅` | INT | はい | 32～MAX_RESOLUTION | 出力動画の幅（ピクセル単位、デフォルト：512）。8で割り切れる必要があります。 | -| `高さ` | INT | はい | 32～MAX_RESOLUTION | 出力動画の高さ（ピクセル単位、デフォルト：896）。8で割り切れる必要があります。 | -| `長さ` | INT | はい | 1～MAX_RESOLUTION | 動画のフレーム数（デフォルト：81）。4で割り切れる必要があります。 | -| `バッチサイズ` | INT | はい | 1～4096 | 1バッチで生成する動画の数（デフォルト：1）。 | -| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | - | コンディショニング用のオプションのCLIPビジョン出力です。 | -| `参照画像` | IMAGE | いいえ | - | コンディショニング用のオプションの参照画像です。 | -| `ポーズビデオ` | IMAGE | いいえ | - | ポーズコンディショニングに使用される動画です。メイン動画の半分の解像度にダウンスケールされます。 | -| `ポーズ強度` | FLOAT | はい | 0.0～10.0 | ポーズ潜在の強度（デフォルト：1.0）。 | -| `ポーズ開始ステップ` | FLOAT | はい | 0.0～1.0 | ポーズコンディショニングを使用する開始ステップ（デフォルト：0.0）。 | -| `ポーズ終了ステップ` | FLOAT | はい | 0.0～1.0 | ポーズコンディショニングを使用する終了ステップ（デフォルト：1.0）。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `positive` | ポジティブコンディショニング入力です。 | CONDITIONING | はい | - | +| `negative` | ネガティブコンディショニング入力です。 | CONDITIONING | はい | - | +| `vae` | 画像と動画フレームのエンコードに使用されるVAEモデルです。 | VAE | はい | - | +| `幅` | 出力動画の幅（ピクセル単位、デフォルト：512）。8で割り切れる必要があります。 | INT | はい | 32～MAX_RESOLUTION | +| `高さ` | 出力動画の高さ（ピクセル単位、デフォルト：896）。8で割り切れる必要があります。 | INT | はい | 32～MAX_RESOLUTION | +| `長さ` | 動画のフレーム数（デフォルト：81）。4で割り切れる必要があります。 | INT | はい | 1～MAX_RESOLUTION | +| `バッチサイズ` | 1バッチで生成する動画の数（デフォルト：1）。 | INT | はい | 1～4096 | +| `clip_vision_output` | コンディショニング用のオプションのCLIPビジョン出力です。 | CLIP_VISION_OUTPUT | いいえ | - | +| `参照画像` | コンディショニング用のオプションの参照画像です。 | IMAGE | いいえ | - | +| `ポーズビデオ` | ポーズコンディショニングに使用される動画です。メイン動画の半分の解像度にダウンスケールされます。 | IMAGE | いいえ | - | +| `ポーズ強度` | ポーズ潜在の強度（デフォルト：1.0）。 | FLOAT | はい | 0.0～10.0 | +| `ポーズ開始ステップ` | ポーズコンディショニングを使用する開始ステップ（デフォルト：0.0）。 | FLOAT | はい | 0.0～1.0 | +| `ポーズ終了ステップ` | ポーズコンディショニングを使用する終了ステップ（デフォルト：1.0）。 | FLOAT | はい | 0.0～1.0 | **注記：** `pose_video` 入力は、最初の `length` フレームに対してのみ処理されます。`reference_image` は、バッチ内の最初の画像に対してのみ処理されます。`reference_image` が指定された場合、ネガティブコンディショニングには同じサイズのゼロ埋め潜在が使用されます。`clip_vision_output` が指定された場合、ポジティブとネガティブの両方のコンディショニングに適用されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `negative` | CONDITIONING | 変更されたポジティブコンディショニングです。参照画像の潜在、CLIPビジョン出力、またはポーズ動画の潜在が埋め込まれている可能性があります。 | -| `latent` | CONDITIONING | 変更されたネガティブコンディショニングです。参照画像の潜在、CLIPビジョン出力、またはポーズ動画の潜在が埋め込まれている可能性があります。 | -| `latent` | LATENT | 形状が `[batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8]` の空の潜在テンソルです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `negative` | 変更されたポジティブコンディショニングです。参照画像の潜在、CLIPビジョン出力、またはポーズ動画の潜在が埋め込まれている可能性があります。 | CONDITIONING | +| `latent` | 変更されたネガティブコンディショニングです。参照画像の潜在、CLIPビジョン出力、またはポーズ動画の潜在が埋め込まれている可能性があります。 | CONDITIONING | +| `latent` | 形状が `[batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8]` の空の潜在テンソルです。 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSCAILToVideo/ja.md) --- **Source fingerprint (SHA-256):** `63de4b6fe41fc23ea81c21965a2dbfc82120bb1bad6785b2130af824e015fbcb` diff --git a/ja/built-in-nodes/WanSoundImageToVideo.mdx b/ja/built-in-nodes/WanSoundImageToVideo.mdx index 66247b6a5..ba8f6aa7e 100644 --- a/ja/built-in-nodes/WanSoundImageToVideo.mdx +++ b/ja/built-in-nodes/WanSoundImageToVideo.mdx @@ -5,33 +5,33 @@ sidebarTitle: "WanSoundImageToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideo/ja.md) - WanSoundImageToVideo ノードは、オプションのオーディオ条件付けを伴う画像から動画コンテンツを生成します。ポジティブおよびネガティブの条件付けプロンプトとVAEモデルを入力として受け取り、動画の潜在表現を生成します。また、参照画像、オーディオエンコーディング、制御動画、モーション参照を組み込むことで、動画生成プロセスを誘導することができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|------|------| -| `ポジティブ` | CONDITIONING | はい | - | 生成される動画に表示されるべきコンテンツを誘導するポジティブ条件付けプロンプト | -| `ネガティブ` | CONDITIONING | はい | - | 生成される動画で避けるべきコンテンツを指定するネガティブ条件付けプロンプト | -| `VAE` | VAE | はい | - | 動画の潜在表現のエンコードとデコードに使用されるVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位、デフォルト: 832、16で割り切れる必要があります） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位、デフォルト: 480、16で割り切れる必要があります） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 生成される動画のフレーム数（デフォルト: 77、4で割り切れる必要があります） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成する動画の数（デフォルト: 1） | -| `オーディオエンコーダ出力` | AUDIOENCODEROUTPUT | いいえ | - | 音響特性に基づいて動画生成に影響を与えることができるオプションのオーディオエンコーディング | -| `参照画像` | IMAGE | いいえ | - | 動画コンテンツに視覚的なガイダンスを提供するオプションの参照画像 | -| `制御ビデオ` | IMAGE | いいえ | - | 生成される動画の動きと構造を誘導するオプションの制御動画 | -| `参照モーション` | IMAGE | いいえ | - | 動画内の動きパターンに対するガイダンスを提供するオプションのモーション参照 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 生成される動画に表示されるべきコンテンツを誘導するポジティブ条件付けプロンプト | CONDITIONING | はい | - | +| `ネガティブ` | 生成される動画で避けるべきコンテンツを指定するネガティブ条件付けプロンプト | CONDITIONING | はい | - | +| `VAE` | 動画の潜在表現のエンコードとデコードに使用されるVAEモデル | VAE | はい | - | +| `幅` | 出力動画の幅（ピクセル単位、デフォルト: 832、16で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力動画の高さ（ピクセル単位、デフォルト: 480、16で割り切れる必要があります） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | 生成される動画のフレーム数（デフォルト: 77、4で割り切れる必要があります） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 同時に生成する動画の数（デフォルト: 1） | INT | はい | 1 ～ 4096 | +| `オーディオエンコーダ出力` | 音響特性に基づいて動画生成に影響を与えることができるオプションのオーディオエンコーディング | AUDIOENCODEROUTPUT | いいえ | - | +| `参照画像` | 動画コンテンツに視覚的なガイダンスを提供するオプションの参照画像 | IMAGE | いいえ | - | +| `制御ビデオ` | 生成される動画の動きと構造を誘導するオプションの制御動画 | IMAGE | いいえ | - | +| `参照モーション` | 動画内の動きパターンに対するガイダンスを提供するオプションのモーション参照 | IMAGE | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `ネガティブ` | CONDITIONING | 動画生成用に変更された処理済みのポジティブ条件付け | -| `潜在表現` | CONDITIONING | 動画生成用に変更された処理済みのネガティブ条件付け | -| `latent` | LATENT | 最終的な動画フレームにデコード可能な、潜在空間で表現された生成動画 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 動画生成用に変更された処理済みのポジティブ条件付け | CONDITIONING | +| `潜在表現` | 動画生成用に変更された処理済みのネガティブ条件付け | CONDITIONING | +| `latent` | 最終的な動画フレームにデコード可能な、潜在空間で表現された生成動画 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideo/ja.md) --- **Source fingerprint (SHA-256):** `f80f82b8671294a14ecfecf91bc13febae0c91c5efa438467a4413d52dc82d3f` diff --git a/ja/built-in-nodes/WanSoundImageToVideoExtend.mdx b/ja/built-in-nodes/WanSoundImageToVideoExtend.mdx index f7adf4e37..d6e930b09 100644 --- a/ja/built-in-nodes/WanSoundImageToVideoExtend.mdx +++ b/ja/built-in-nodes/WanSoundImageToVideoExtend.mdx @@ -5,8 +5,6 @@ sidebarTitle: "WanSoundImageToVideoExtend" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/ja.md) - 以下が翻訳結果です。 ## 概要 @@ -14,24 +12,26 @@ WanSoundImageToVideoExtend ノードは、既存のビデオ潜在表現を拡 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | ビデオに含める内容をガイドするポジティブ条件付けプロンプト | -| `ネガティブ` | CONDITIONING | はい | - | ビデオで避けるべき内容を指定するネガティブ条件付けプロンプト | -| `VAE` | VAE | はい | - | ビデオフレームのエンコードとデコードに使用される変分オートエンコーダ | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | ビデオシーケンス用に生成するフレームの総数（デフォルト: 77、ステップ: 4） | -| `ビデオ潜在表現` | LATENT | はい | - | 拡張の開始点として機能する初期ビデオ潜在表現 | -| `オーディオエンコーダ出力` | AUDIOENCODEROUTPUT | いいえ | - | 音響特性に基づいてビデオ生成に影響を与える可能性があるオプションのオーディオ埋め込み | -| `参照画像` | IMAGE | いいえ | - | ビデオ生成に視覚的なガイダンスを提供するオプションの参照画像 | -| `制御ビデオ` | IMAGE | いいえ | - | 生成されたビデオの動きとスタイルをガイドできるオプションの制御ビデオ | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | ビデオに含める内容をガイドするポジティブ条件付けプロンプト | CONDITIONING | はい | - | +| `ネガティブ` | ビデオで避けるべき内容を指定するネガティブ条件付けプロンプト | CONDITIONING | はい | - | +| `VAE` | ビデオフレームのエンコードとデコードに使用される変分オートエンコーダ | VAE | はい | - | +| `長さ` | ビデオシーケンス用に生成するフレームの総数（デフォルト: 77、ステップ: 4） | INT | はい | 1 ～ MAX_RESOLUTION | +| `ビデオ潜在表現` | 拡張の開始点として機能する初期ビデオ潜在表現 | LATENT | はい | - | +| `オーディオエンコーダ出力` | 音響特性に基づいてビデオ生成に影響を与える可能性があるオプションのオーディオ埋め込み | AUDIOENCODEROUTPUT | いいえ | - | +| `参照画像` | ビデオ生成に視覚的なガイダンスを提供するオプションの参照画像 | IMAGE | いいえ | - | +| `制御ビデオ` | 生成されたビデオの動きとスタイルをガイドできるオプションの制御ビデオ | IMAGE | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | ビデオコンテキストが適用された処理済みポジティブ条件付け | -| `潜在表現` | CONDITIONING | ビデオコンテキストが適用された処理済みネガティブ条件付け | -| `latent` | LATENT | 拡張されたビデオシーケンスを含む生成済みビデオ潜在表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | ビデオコンテキストが適用された処理済みポジティブ条件付け | CONDITIONING | +| `潜在表現` | ビデオコンテキストが適用された処理済みネガティブ条件付け | CONDITIONING | +| `latent` | 拡張されたビデオシーケンスを含む生成済みビデオ潜在表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/ja.md) --- **Source fingerprint (SHA-256):** `fc9aee5d51e96b864da7d75f592f07691be8b970346998b209b3ad8a72308ecb` diff --git a/ja/built-in-nodes/WanTextToImageApi.mdx b/ja/built-in-nodes/WanTextToImageApi.mdx index 2118601fa..466827bec 100644 --- a/ja/built-in-nodes/WanTextToImageApi.mdx +++ b/ja/built-in-nodes/WanTextToImageApi.mdx @@ -5,28 +5,28 @@ sidebarTitle: "WanTextToImageApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToImageApi/ja.md) - Wan Text to Image ノードは、テキストの説明に基づいて画像を生成します。AIモデルを使用して、記述されたプロンプトから視覚的なコンテンツを作成し、英語と中国語の両方のテキスト入力をサポートします。このノードは、出力画像のサイズ、品質、スタイルの設定を調整するためのさまざまなコントロールを提供します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | COMBO | はい | "wan2.5-t2i-preview" | 使用するモデル（デフォルト: "wan2.5-t2i-preview"） | -| `プロンプト` | STRING | はい | - | 要素と視覚的特徴を説明するプロンプト。英語と中国語に対応（デフォルト: 空） | -| `ネガティブプロンプト` | STRING | いいえ | - | 避けるべき内容を説明するネガティブプロンプト（デフォルト: 空） | -| `幅` | INT | いいえ | 768-1440 | 画像の幅（ピクセル単位）（デフォルト: 1024、ステップ: 32） | -| `高さ` | INT | いいえ | 768-1440 | 画像の高さ（ピクセル単位）（デフォルト: 1024、ステップ: 32） | -| `シード` | INT | いいえ | 0-2147483647 | 生成に使用するシード値（デフォルト: 0） | -| `プロンプト拡張` | BOOLEAN | いいえ | - | AIアシスタンスを使用してプロンプトを拡張するかどうか（デフォルト: True） | -| `透かし` | BOOLEAN | いいえ | - | 結果にAI生成の透かしを追加するかどうか（デフォルト: False） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 使用するモデル（デフォルト: "wan2.5-t2i-preview"） | COMBO | はい | "wan2.5-t2i-preview" | +| `プロンプト` | 要素と視覚的特徴を説明するプロンプト。英語と中国語に対応（デフォルト: 空） | STRING | はい | - | +| `ネガティブプロンプト` | 避けるべき内容を説明するネガティブプロンプト（デフォルト: 空） | STRING | いいえ | - | +| `幅` | 画像の幅（ピクセル単位）（デフォルト: 1024、ステップ: 32） | INT | いいえ | 768-1440 | +| `高さ` | 画像の高さ（ピクセル単位）（デフォルト: 1024、ステップ: 32） | INT | いいえ | 768-1440 | +| `シード` | 生成に使用するシード値（デフォルト: 0） | INT | いいえ | 0-2147483647 | +| `プロンプト拡張` | AIアシスタンスを使用してプロンプトを拡張するかどうか（デフォルト: True） | BOOLEAN | いいえ | - | +| `透かし` | 結果にAI生成の透かしを追加するかどうか（デフォルト: False） | BOOLEAN | いいえ | - | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE | テキストプロンプトに基づいて生成された画像 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | テキストプロンプトに基づいて生成された画像 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToImageApi/ja.md) --- **Source fingerprint (SHA-256):** `2a59551d7ff0fc0553f41561afd94092d2d950ac3e1aa3f6402436540da7d6fb` diff --git a/ja/built-in-nodes/WanTextToVideoApi.mdx b/ja/built-in-nodes/WanTextToVideoApi.mdx index 60fdcfa76..0271f8a36 100644 --- a/ja/built-in-nodes/WanTextToVideoApi.mdx +++ b/ja/built-in-nodes/WanTextToVideoApi.mdx @@ -5,35 +5,35 @@ sidebarTitle: "WanTextToVideoApi" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToVideoApi/ja.md) - 以下が翻訳結果です。 Wan Text to Video ノードは、テキストの説明に基づいて動画コンテンツを生成します。AIモデルを使用してプロンプトから動画を作成し、さまざまな動画サイズ、長さ、およびオプションの音声入力をサポートします。このノードは、必要に応じて音声を自動生成でき、プロンプトの拡張や透かしの追加オプションも提供します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | "wan2.5-t2v-preview"
"wan2.6-t2v" | 使用するモデル（デフォルト: "wan2.6-t2v"） | -| `prompt` | STRING | はい | - | 要素と視覚的特徴を説明するプロンプト。英語と中国語に対応（デフォルト: ""） | -| `negative_prompt` | STRING | いいえ | - | 避けるべき内容を説明するネガティブプロンプト（デフォルト: ""） | -| `size` | COMBO | いいえ | "480p: 1:1 (624x624)"
"480p: 16:9 (832x480)"
"480p: 9:16 (480x832)"
"720p: 1:1 (960x960)"
"720p: 16:9 (1280x720)"
"720p: 9:16 (720x1280)"
"720p: 4:3 (1088x832)"
"720p: 3:4 (832x1088)"
"1080p: 1:1 (1440x1440)"
"1080p: 16:9 (1920x1080)"
"1080p: 9:16 (1080x1920)"
"1080p: 4:3 (1632x1248)"
"1080p: 3:4 (1248x1632)" | 動画の解像度とアスペクト比（デフォルト: "720p: 1:1 (960x960)"） | -| `duration` | INT | いいえ | 5-15（5刻み） | 動画の長さ（秒）。15秒の長さはWan 2.6モデルでのみ利用可能（デフォルト: 5） | -| `audio` | AUDIO | いいえ | - | 音声には、明瞭で大きな声が含まれ、余計なノイズや背景音楽がない必要があります | -| `seed` | INT | いいえ | 0-2147483647 | 生成に使用するシード値（デフォルト: 0） | -| `generate_audio` | BOOLEAN | いいえ | - | 音声入力が提供されない場合、自動的に音声を生成するかどうか（デフォルト: False） | -| `prompt_extend` | BOOLEAN | いいえ | - | AIアシスタンスでプロンプトを拡張するかどうか（デフォルト: True） | -| `watermark` | BOOLEAN | いいえ | - | 結果にAI生成の透かしを追加するかどうか（デフォルト: False） | -| `ショットタイプ` | COMBO | いいえ | "single"
"multi" | 生成される動画のショットタイプを指定します。つまり、動画が単一の連続ショットか、カットを含む複数ショットかを指定します。このパラメータは、prompt_extendがTrueの場合にのみ有効です（デフォルト: "single"） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | 使用するモデル（デフォルト: "wan2.6-t2v"） | COMBO | はい | "wan2.5-t2v-preview"
"wan2.6-t2v" | +| `prompt` | 要素と視覚的特徴を説明するプロンプト。英語と中国語に対応（デフォルト: ""） | STRING | はい | - | +| `negative_prompt` | 避けるべき内容を説明するネガティブプロンプト（デフォルト: ""） | STRING | いいえ | - | +| `size` | 動画の解像度とアスペクト比（デフォルト: "720p: 1:1 (960x960)"） | COMBO | いいえ | "480p: 1:1 (624x624)"
"480p: 16:9 (832x480)"
"480p: 9:16 (480x832)"
"720p: 1:1 (960x960)"
"720p: 16:9 (1280x720)"
"720p: 9:16 (720x1280)"
"720p: 4:3 (1088x832)"
"720p: 3:4 (832x1088)"
"1080p: 1:1 (1440x1440)"
"1080p: 16:9 (1920x1080)"
"1080p: 9:16 (1080x1920)"
"1080p: 4:3 (1632x1248)"
"1080p: 3:4 (1248x1632)" | +| `duration` | 動画の長さ（秒）。15秒の長さはWan 2.6モデルでのみ利用可能（デフォルト: 5） | INT | いいえ | 5-15（5刻み） | +| `audio` | 音声には、明瞭で大きな声が含まれ、余計なノイズや背景音楽がない必要があります | AUDIO | いいえ | - | +| `seed` | 生成に使用するシード値（デフォルト: 0） | INT | いいえ | 0-2147483647 | +| `generate_audio` | 音声入力が提供されない場合、自動的に音声を生成するかどうか（デフォルト: False） | BOOLEAN | いいえ | - | +| `prompt_extend` | AIアシスタンスでプロンプトを拡張するかどうか（デフォルト: True） | BOOLEAN | いいえ | - | +| `watermark` | 結果にAI生成の透かしを追加するかどうか（デフォルト: False） | BOOLEAN | いいえ | - | +| `ショットタイプ` | 生成される動画のショットタイプを指定します。つまり、動画が単一の連続ショットか、カットを含む複数ショットかを指定します。このパラメータは、prompt_extendがTrueの場合にのみ有効です（デフォルト: "single"） | COMBO | いいえ | "single"
"multi" | **注記:** Wan 2.6モデルは480p解像度をサポートしていません。15秒の長さはWan 2.6モデルでのみサポートされています。音声入力を提供する場合、その長さは3.0秒から29.0秒の間で、背景ノイズや音楽のない明瞭な音声を含んでいる必要があります。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 入力パラメータに基づいて生成された動画 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 入力パラメータに基づいて生成された動画 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToVideoApi/ja.md) --- **Source fingerprint (SHA-256):** `e978f384365060a6d71899e4e2e22b2c6f4268fb0da988c8902e4876d8597a96` diff --git a/ja/built-in-nodes/WanTrackToVideo.mdx b/ja/built-in-nodes/WanTrackToVideo.mdx index a47ca474d..f0754e5be 100644 --- a/ja/built-in-nodes/WanTrackToVideo.mdx +++ b/ja/built-in-nodes/WanTrackToVideo.mdx @@ -5,36 +5,36 @@ sidebarTitle: "WanTrackToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTrackToVideo/ja.md) - WanTrackToVideoノードは、トラックポイントを処理して対応するビデオフレームを生成することで、モーショントラッキングデータをビデオシーケンスに変換します。トラッキング座標を入力として受け取り、ビデオ生成に使用できるビデオコンディショニングと潜在表現を生成します。トラックが提供されない場合は、標準の画像からビデオへの変換にフォールバックします。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | ビデオ生成のためのポジティブコンディショニング | -| `negative` | CONDITIONING | はい | - | ビデオ生成のためのネガティブコンディショニング | -| `vae` | VAE | はい | - | エンコードおよびデコード用のVAEモデル | -| `tracks` | STRING | はい | - | 複数行の文字列としてのJSON形式のトラッキングデータ（デフォルト: "[]"） | -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位）（デフォルト: 832、ステップ: 16） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位）（デフォルト: 480、ステップ: 16） | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION | 出力ビデオのフレーム数（デフォルト: 81、ステップ: 4） | -| `batch_size` | INT | はい | 1 ～ 4096 | 同時に生成するビデオの数（デフォルト: 1） | -| `temperature` | FLOAT | はい | 1.0 ～ 1000.0 | モーションパッチングのための温度パラメータ（デフォルト: 220.0、ステップ: 0.1） | -| `topk` | INT | はい | 1 ～ 10 | モーションパッチングのためのTop-k値（デフォルト: 2） | -| `start_image` | IMAGE | いいえ | - | ビデオ生成の開始画像 | -| `clip_vision_output` | CLIPVISIONOUTPUT | いいえ | - | 追加のコンディショニングのためのCLIPビジョン出力 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `positive` | ビデオ生成のためのポジティブコンディショニング | CONDITIONING | はい | - | +| `negative` | ビデオ生成のためのネガティブコンディショニング | CONDITIONING | はい | - | +| `vae` | エンコードおよびデコード用のVAEモデル | VAE | はい | - | +| `tracks` | 複数行の文字列としてのJSON形式のトラッキングデータ（デフォルト: "[]"） | STRING | はい | - | +| `width` | 出力ビデオの幅（ピクセル単位）（デフォルト: 832、ステップ: 16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `height` | 出力ビデオの高さ（ピクセル単位）（デフォルト: 480、ステップ: 16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `length` | 出力ビデオのフレーム数（デフォルト: 81、ステップ: 4） | INT | はい | 1 ～ MAX_RESOLUTION | +| `batch_size` | 同時に生成するビデオの数（デフォルト: 1） | INT | はい | 1 ～ 4096 | +| `temperature` | モーションパッチングのための温度パラメータ（デフォルト: 220.0、ステップ: 0.1） | FLOAT | はい | 1.0 ～ 1000.0 | +| `topk` | モーションパッチングのためのTop-k値（デフォルト: 2） | INT | はい | 1 ～ 10 | +| `start_image` | ビデオ生成の開始画像 | IMAGE | いいえ | - | +| `clip_vision_output` | 追加のコンディショニングのためのCLIPビジョン出力 | CLIPVISIONOUTPUT | いいえ | - | **注記:** `tracks`に有効なトラッキングデータが含まれている場合、ノードはモーショントラックを処理してビデオを生成します。`tracks`が空の場合は、標準の画像からビデオへのモードに切り替わります。`start_image`が提供された場合は、ビデオシーケンスの最初のフレームを初期化します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `negative` | CONDITIONING | モーショントラック情報が適用されたポジティブコンディショニング | -| `latent` | CONDITIONING | モーショントラック情報が適用されたネガティブコンディショニング | -| `latent` | LATENT | 生成されたビデオの潜在表現 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `negative` | モーショントラック情報が適用されたポジティブコンディショニング | CONDITIONING | +| `latent` | モーショントラック情報が適用されたネガティブコンディショニング | CONDITIONING | +| `latent` | 生成されたビデオの潜在表現 | LATENT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTrackToVideo/ja.md) --- **Source fingerprint (SHA-256):** `b3e12492d3dafa100266f6be8fe05e4d62b827f1a2bdb4029f804b107dc691ed` diff --git a/ja/built-in-nodes/WanVaceToVideo.mdx b/ja/built-in-nodes/WanVaceToVideo.mdx index 0115bf07c..bc6accc17 100644 --- a/ja/built-in-nodes/WanVaceToVideo.mdx +++ b/ja/built-in-nodes/WanVaceToVideo.mdx @@ -5,36 +5,36 @@ sidebarTitle: "WanVaceToVideo" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanVaceToVideo/ja.md) - WanVaceToVideo ノードは、動画生成モデル向けの動画条件付けデータを処理します。ポジティブおよびネガティブの条件付け入力と動画制御データを受け取り、動画生成のための潜在表現を準備します。このノードは、動画のアップスケーリング、マスキング、VAEエンコーディングを処理し、動画モデルに適した条件付け構造を作成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ポジティブ` | CONDITIONING | はい | - | 生成をガイドするためのポジティブ条件付け入力 | -| `ネガティブ` | CONDITIONING | はい | - | 生成をガイドするためのネガティブ条件付け入力 | -| `vae` | VAE | はい | - | 画像および動画フレームのエンコードに使用されるVAEモデル | -| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）（デフォルト：832、ステップ：16） | -| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）（デフォルト：480、ステップ：16） | -| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 動画のフレーム数（デフォルト：81、ステップ：4） | -| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成する動画の数（デフォルト：1） | -| `強度` | FLOAT | はい | 0.0 ～ 1000.0 | 動画条件付けの制御強度（デフォルト：1.0、ステップ：0.01） | -| `コントロールビデオ` | IMAGE | いいえ | - | 制御条件付け用のオプションの入力動画 | -| `コントロールマスク` | MASK | いいえ | - | 動画のどの部分を変更するかを制御するためのオプションのマスク | -| `参照画像` | IMAGE | いいえ | - | 追加の条件付け用のオプションの参照画像 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ポジティブ` | 生成をガイドするためのポジティブ条件付け入力 | CONDITIONING | はい | - | +| `ネガティブ` | 生成をガイドするためのネガティブ条件付け入力 | CONDITIONING | はい | - | +| `vae` | 画像および動画フレームのエンコードに使用されるVAEモデル | VAE | はい | - | +| `幅` | 出力動画の幅（ピクセル単位）（デフォルト：832、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `高さ` | 出力動画の高さ（ピクセル単位）（デフォルト：480、ステップ：16） | INT | はい | 16 ～ MAX_RESOLUTION | +| `長さ` | 動画のフレーム数（デフォルト：81、ステップ：4） | INT | はい | 1 ～ MAX_RESOLUTION | +| `バッチサイズ` | 同時に生成する動画の数（デフォルト：1） | INT | はい | 1 ～ 4096 | +| `強度` | 動画条件付けの制御強度（デフォルト：1.0、ステップ：0.01） | FLOAT | はい | 0.0 ～ 1000.0 | +| `コントロールビデオ` | 制御条件付け用のオプションの入力動画 | IMAGE | いいえ | - | +| `コントロールマスク` | 動画のどの部分を変更するかを制御するためのオプションのマスク | MASK | いいえ | - | +| `参照画像` | 追加の条件付け用のオプションの参照画像 | IMAGE | いいえ | - | **注記：** `control_video` が指定された場合、指定された幅と高さに合わせてアップスケーリングされます。`control_masks` が指定された場合、制御動画の寸法と一致している必要があります。`reference_image` は VAE を通じてエンコードされ、指定された場合には潜在シーケンスの先頭に追加されます。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ネガティブ` | CONDITIONING | 動画制御データが適用されたポジティブ条件付け | -| `latent` | CONDITIONING | 動画制御データが適用されたネガティブ条件付け | -| `トリムlatent` | LATENT | 動画生成用の空の潜在テンソル | -| `trim_latent` | INT | 参照画像が使用される場合にトリミングする潜在フレーム数 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `ネガティブ` | 動画制御データが適用されたポジティブ条件付け | CONDITIONING | +| `latent` | 動画制御データが適用されたネガティブ条件付け | CONDITIONING | +| `トリムlatent` | 動画生成用の空の潜在テンソル | LATENT | +| `trim_latent` | 参照画像が使用される場合にトリミングする潜在フレーム数 | INT | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanVaceToVideo/ja.md) --- **Source fingerprint (SHA-256):** `66e50a360dc99ac49cac8f3f1c8649bf4298da2934c1bd9a0bc7cfbec620b291` diff --git a/ja/built-in-nodes/WavespeedFlashVSRNode.mdx b/ja/built-in-nodes/WavespeedFlashVSRNode.mdx index f6887dced..6c74ba28a 100644 --- a/ja/built-in-nodes/WavespeedFlashVSRNode.mdx +++ b/ja/built-in-nodes/WavespeedFlashVSRNode.mdx @@ -5,18 +5,16 @@ sidebarTitle: "WavespeedFlashVSRNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/ja.md) - このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md) WavespeedFlashVSRNodeは、低解像度やぼやけた映像の解像度を向上させ、鮮明さを復元する高速・高品質なビデオアップスケーラーです。ビデオ入力を処理し、ユーザーが選択した高解像度で新しいビデオを出力します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `ビデオ` | VIDEO | はい | なし | アップスケールする入力ビデオファイル。MP4コンテナ形式で、再生時間が5秒から10分の間である必要があります。 | -| `目標解像度` | STRING | はい | `"720p"`
`"1080p"`
`"2K"`
`"4K"` | アップスケール後の出力ビデオの希望解像度。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `ビデオ` | アップスケールする入力ビデオファイル。MP4コンテナ形式で、再生時間が5秒から10分の間である必要があります。 | VIDEO | はい | なし | +| `目標解像度` | アップスケール後の出力ビデオの希望解像度。 | STRING | はい | `"720p"`
`"1080p"`
`"2K"`
`"4K"` | **入力制約：** @@ -25,9 +23,11 @@ WavespeedFlashVSRNodeは、低解像度やぼやけた映像の解像度を向 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 選択されたターゲット解像度でアップスケールされたビデオファイル。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `output` | 選択されたターゲット解像度でアップスケールされたビデオファイル。 | VIDEO | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/ja.md) --- **Source fingerprint (SHA-256):** `9a495889753ac866177921727228846d8ef9516c54ccd9aa425350b87237c397` diff --git a/ja/built-in-nodes/WavespeedImageUpscaleNode.mdx b/ja/built-in-nodes/WavespeedImageUpscaleNode.mdx index 1853967d4..d6ea3e337 100644 --- a/ja/built-in-nodes/WavespeedImageUpscaleNode.mdx +++ b/ja/built-in-nodes/WavespeedImageUpscaleNode.mdx @@ -5,25 +5,25 @@ sidebarTitle: "WavespeedImageUpscaleNode" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/ja.md) - WaveSpeed Image Upscale ノードは、外部AIサービスを利用して画像の解像度と品質を向上させます。1枚の入力画像を受け取り、2K、4K、8Kなどのより高いターゲット解像度にアップスケールし、より鮮明で詳細な結果を生成します。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | STRING | はい | `"SeedVR2"`
`"Ultimate"` | アップスケールに使用するAIモデルです。"SeedVR2"と"Ultimate"では、品質と価格帯が異なります。 | -| `画像` | IMAGE | はい | | アップスケールする入力画像です。 | -| `目標解像度` | STRING | はい | `"2K"`
`"4K"`
`"8K"` | アップスケール後の希望する出力解像度です。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `model` | アップスケールに使用するAIモデルです。"SeedVR2"と"Ultimate"では、品質と価格帯が異なります。 | STRING | はい | `"SeedVR2"`
`"Ultimate"` | +| `画像` | アップスケールする入力画像です。 | IMAGE | はい | | +| `目標解像度` | アップスケール後の希望する出力解像度です。 | STRING | はい | `"2K"`
`"4K"`
`"8K"` | **注意：** このノードは、正確に1枚の入力画像を必要とします。画像のバッチを提供するとエラーが発生します。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `画像` | IMAGE | アップスケールされた高解像度の出力画像です。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `画像` | アップスケールされた高解像度の出力画像です。 | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/ja.md) --- **Source fingerprint (SHA-256):** `b14056f981f6e34c67d8126391acc11878f92f5f406559afbac803c86da42bcc` diff --git a/ja/built-in-nodes/WebcamCapture.mdx b/ja/built-in-nodes/WebcamCapture.mdx index 634d1bf77..127020c7a 100644 --- a/ja/built-in-nodes/WebcamCapture.mdx +++ b/ja/built-in-nodes/WebcamCapture.mdx @@ -5,8 +5,6 @@ sidebarTitle: "WebcamCapture" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WebcamCapture/ja.md) - 以下が翻訳結果です。 --- @@ -15,20 +13,22 @@ WebcamCapture ノードは、ウェブカメラデバイスから画像をキャ ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|----------|------|-------|------| -| `画像` | WEBCAM | はい | - | 画像をキャプチャするウェブカメラの入力ソース | -| `幅` | INT | はい | 0 ～ MAX_RESOLUTION | キャプチャ画像の希望幅（デフォルト：0、ウェブカメラのネイティブ解像度を使用） | -| `高さ` | INT | はい | 0 ～ MAX_RESOLUTION | キャプチャ画像の希望高さ（デフォルト：0、ウェブカメラのネイティブ解像度を使用） | -| `キューでキャプチャ` | BOOLEAN | はい | - | 有効にすると、ワークフローキューが処理されるたびに新しい画像をキャプチャします（デフォルト：True） | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `画像` | 画像をキャプチャするウェブカメラの入力ソース | WEBCAM | はい | - | +| `幅` | キャプチャ画像の希望幅（デフォルト：0、ウェブカメラのネイティブ解像度を使用） | INT | はい | 0 ～ MAX_RESOLUTION | +| `高さ` | キャプチャ画像の希望高さ（デフォルト：0、ウェブカメラのネイティブ解像度を使用） | INT | はい | 0 ～ MAX_RESOLUTION | +| `キューでキャプチャ` | 有効にすると、ワークフローキューが処理されるたびに新しい画像をキャプチャします（デフォルト：True） | BOOLEAN | はい | - | **注記：** `width` と `height` の両方が 0 に設定されている場合、ノードはウェブカメラのネイティブ解像度を使用します。いずれかの寸法を 0 以外の値に設定すると、キャプチャされた画像がそれに応じてリサイズされます。 ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `IMAGE` | IMAGE | キャプチャされたウェブカメラ画像を ComfyUI の画像形式に変換したもの | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `IMAGE` | キャプチャされたウェブカメラ画像を ComfyUI の画像形式に変換したもの | IMAGE | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WebcamCapture/ja.md) --- **Source fingerprint (SHA-256):** `551368150fc293309f917eabaa066f223b1fa1a016ffd3643b57b80c83f812cc` diff --git a/ja/built-in-nodes/ZImageFunControlnet.mdx b/ja/built-in-nodes/ZImageFunControlnet.mdx index 8e4f69e6b..d1ae846e4 100644 --- a/ja/built-in-nodes/ZImageFunControlnet.mdx +++ b/ja/built-in-nodes/ZImageFunControlnet.mdx @@ -5,33 +5,33 @@ sidebarTitle: "ZImageFunControlnet" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ZImageFunControlnet/ja.md) - 以下が翻訳結果です。 ZImageFunControlnet ノードは、特殊な制御ネットワークを適用して画像生成または編集プロセスに影響を与えます。ベースモデル、モデルパッチ、VAE を使用し、制御効果の強度を調整できます。このノードは、ベース画像、インペイント画像、マスクと組み合わせて、よりターゲットを絞った編集を行うことができます。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | - | 生成プロセスに使用されるベースモデルです。 | -| `モデルパッチ` | MODEL_PATCH | はい | - | 制御ネットワークのガイダンスを適用する特殊なパッチモデルです。 | -| `vae` | VAE | はい | - | 画像のエンコードとデコードに使用される変分オートエンコーダです。 | -| `強度` | FLOAT | はい | -10.0 ～ 10.0 | 制御ネットワークの影響の強さです。正の値は効果を適用し、負の値は反転させることができます（デフォルト: 1.0）。 | -| `画像` | IMAGE | いいえ | - | 生成プロセスをガイドするオプションのベース画像です。 | -| `インペイント画像` | IMAGE | いいえ | - | マスクで定義された領域をインペイントするために使用されるオプションの画像です。 | -| `マスク` | MASK | いいえ | - | 画像のどの領域を編集またはインペイントするかを定義するオプションのマスクです。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | 生成プロセスに使用されるベースモデルです。 | MODEL | はい | - | +| `モデルパッチ` | 制御ネットワークのガイダンスを適用する特殊なパッチモデルです。 | MODEL_PATCH | はい | - | +| `vae` | 画像のエンコードとデコードに使用される変分オートエンコーダです。 | VAE | はい | - | +| `強度` | 制御ネットワークの影響の強さです。正の値は効果を適用し、負の値は反転させることができます（デフォルト: 1.0）。 | FLOAT | はい | -10.0 ～ 10.0 | +| `画像` | 生成プロセスをガイドするオプションのベース画像です。 | IMAGE | いいえ | - | +| `インペイント画像` | マスクで定義された領域をインペイントするために使用されるオプションの画像です。 | IMAGE | いいえ | - | +| `マスク` | 画像のどの領域を編集またはインペイントするかを定義するオプションのマスクです。 | MASK | いいえ | - | **注記:** `inpaint_image` パラメータは通常、`mask` と組み合わせて使用され、インペイントする内容を指定します。ノードの動作は、どのオプション入力が提供されるかによって変わります（例: ガイダンスに `image` を使用する場合、またはインペイントに `image`、`mask`、`inpaint_image` を使用する場合）。 ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 制御ネットワークパッチが適用されたモデルで、サンプリングパイプラインで使用可能です。 | -| `positive` | CONDITIONING | 制御ネットワークの入力によって変更される可能性のあるポジティブコンディショニングです。 | -| `negative` | CONDITIONING | 制御ネットワークの入力によって変更される可能性のあるネガティブコンディショニングです。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 制御ネットワークパッチが適用されたモデルで、サンプリングパイプラインで使用可能です。 | MODEL | +| `positive` | 制御ネットワークの入力によって変更される可能性のあるポジティブコンディショニングです。 | CONDITIONING | +| `negative` | 制御ネットワークの入力によって変更される可能性のあるネガティブコンディショニングです。 | CONDITIONING | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ZImageFunControlnet/ja.md) --- **Source fingerprint (SHA-256):** `465f9eb0dd60af23e6cdc2031579e404b4fed021738e592ee6acbb6ee57e83a0` diff --git a/ja/built-in-nodes/conditioning/video-models/wan-vace-to-video.mdx b/ja/built-in-nodes/conditioning/video-models/wan-vace-to-video.mdx index e224328a8..cf2ccdd4c 100644 --- a/ja/built-in-nodes/conditioning/video-models/wan-vace-to-video.mdx +++ b/ja/built-in-nodes/conditioning/video-models/wan-vace-to-video.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Wan Vace To Video" icon: "circle" translationSourceHash: 6e86d933 translationFrom: built-in-nodes/conditioning/video-models/wan-vace-to-video.mdx, zh/built-in-nodes/conditioning/video-models/wan-vace-to-video.mdx -translationMismatches: - - "description" --- ![Wan Vace To Video](/images/built-in-nodes/conditioning/video-models/wan-vace-to-video.jpg) diff --git a/ja/built-in-nodes/latent/video/trim-video-latent.mdx b/ja/built-in-nodes/latent/video/trim-video-latent.mdx index 9ac1a61e1..c410a01bc 100644 --- a/ja/built-in-nodes/latent/video/trim-video-latent.mdx +++ b/ja/built-in-nodes/latent/video/trim-video-latent.mdx @@ -4,8 +4,6 @@ description: 潜在空間における動画フレームのトリミング sidebarTitle: TrimVideoLatent translationSourceHash: ab672112 translationFrom: built-in-nodes/latent/video/trim-video-latent.mdx, zh/built-in-nodes/latent/video/trim-video-latent.mdx -translationMismatches: - - "description" --- ![ComfyUI TrimVideoLatent ノード](/images/built-in-nodes/latent/video/trim-video-latent.jpg) diff --git a/ja/built-in-nodes/partner-node/image/ideogram/ideogram-v1.mdx b/ja/built-in-nodes/partner-node/image/ideogram/ideogram-v1.mdx index 23157993e..b692add61 100644 --- a/ja/built-in-nodes/partner-node/image/ideogram/ideogram-v1.mdx +++ b/ja/built-in-nodes/partner-node/image/ideogram/ideogram-v1.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Ideogram V1" icon: "circle" translationSourceHash: 543db2e1 translationFrom: built-in-nodes/partner-node/image/ideogram/ideogram-v1.mdx, zh/built-in-nodes/partner-node/image/ideogram/ideogram-v1.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Ideogram V1 ノード](/images/built-in-nodes/api_nodes/ideogram/ideogram-v1.jpg) diff --git a/ja/built-in-nodes/partner-node/image/ideogram/ideogram-v2.mdx b/ja/built-in-nodes/partner-node/image/ideogram/ideogram-v2.mdx index 479c2b9f0..5a915f9e5 100644 --- a/ja/built-in-nodes/partner-node/image/ideogram/ideogram-v2.mdx +++ b/ja/built-in-nodes/partner-node/image/ideogram/ideogram-v2.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Ideogram V2" icon: "circle" translationSourceHash: c1d3fdee translationFrom: built-in-nodes/partner-node/image/ideogram/ideogram-v2.mdx, zh/built-in-nodes/partner-node/image/ideogram/ideogram-v2.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み Ideogram V2 ノード](/images/built-in-nodes/api_nodes/ideogram/ideogram-v2.jpg) diff --git a/ja/built-in-nodes/partner-node/image/ideogram/ideogram-v3.mdx b/ja/built-in-nodes/partner-node/image/ideogram/ideogram-v3.mdx index 112dadd7e..abf20a20b 100644 --- a/ja/built-in-nodes/partner-node/image/ideogram/ideogram-v3.mdx +++ b/ja/built-in-nodes/partner-node/image/ideogram/ideogram-v3.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Ideogram V3" icon: "circle" translationSourceHash: e7b05ee5 translationFrom: built-in-nodes/partner-node/image/ideogram/ideogram-v3.mdx, zh/built-in-nodes/partner-node/image/ideogram/ideogram-v3.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Ideogram V3 ノード](/images/built-in-nodes/api_nodes/ideogram/ideogram-v3.jpg) diff --git a/ja/built-in-nodes/partner-node/image/luma/luma-image-to-image.mdx b/ja/built-in-nodes/partner-node/image/luma/luma-image-to-image.mdx index 85c10a519..2c2485f80 100644 --- a/ja/built-in-nodes/partner-node/image/luma/luma-image-to-image.mdx +++ b/ja/built-in-nodes/partner-node/image/luma/luma-image-to-image.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Luma Image to Image" icon: "circle" translationSourceHash: 4a7d1330 translationFrom: built-in-nodes/partner-node/image/luma/luma-image-to-image.mdx, zh/built-in-nodes/partner-node/image/luma/luma-image-to-image.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み Luma Image to Image ノード](/images/built-in-nodes/api_nodes/luma/luma-image-to-image.jpg) diff --git a/ja/built-in-nodes/partner-node/image/luma/luma-reference.mdx b/ja/built-in-nodes/partner-node/image/luma/luma-reference.mdx index d5afb1728..224edba15 100644 --- a/ja/built-in-nodes/partner-node/image/luma/luma-reference.mdx +++ b/ja/built-in-nodes/partner-node/image/luma/luma-reference.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Luma Reference" icon: "circle" translationSourceHash: 620313cc translationFrom: built-in-nodes/partner-node/image/luma/luma-reference.mdx, zh/built-in-nodes/partner-node/image/luma/luma-reference.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み Luma Reference ノード](/images/built-in-nodes/api_nodes/luma/luma-reference.jpg) diff --git a/ja/built-in-nodes/partner-node/image/luma/luma-text-to-image.mdx b/ja/built-in-nodes/partner-node/image/luma/luma-text-to-image.mdx index 469f5bde4..f19a6b634 100644 --- a/ja/built-in-nodes/partner-node/image/luma/luma-text-to-image.mdx +++ b/ja/built-in-nodes/partner-node/image/luma/luma-text-to-image.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Luma Text to Image" icon: "circle" translationSourceHash: a6f31e96 translationFrom: built-in-nodes/partner-node/image/luma/luma-text-to-image.mdx, zh/built-in-nodes/partner-node/image/luma/luma-text-to-image.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Luma Text to Image ノード](/images/built-in-nodes/api_nodes/luma/luma-text-to-image.jpg) diff --git a/ja/built-in-nodes/partner-node/image/openai/openai-dalle3.mdx b/ja/built-in-nodes/partner-node/image/openai/openai-dalle3.mdx index ed938b52d..7fe5a2185 100644 --- a/ja/built-in-nodes/partner-node/image/openai/openai-dalle3.mdx +++ b/ja/built-in-nodes/partner-node/image/openai/openai-dalle3.mdx @@ -5,8 +5,6 @@ sidebarTitle: "OpenAI DALL·E 3" icon: "circle" translationSourceHash: 3a5875fb translationFrom: built-in-nodes/partner-node/image/openai/openai-dalle3.mdx, zh/built-in-nodes/partner-node/image/openai/openai-dalle3.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ OpenAI DALL·E 3 ノード](/images/built-in-nodes/api_nodes/openai/openai-dall-e-3.jpg) diff --git a/ja/built-in-nodes/partner-node/image/openai/openai-gpt-image1.mdx b/ja/built-in-nodes/partner-node/image/openai/openai-gpt-image1.mdx index fb6c7667d..146c868b1 100644 --- a/ja/built-in-nodes/partner-node/image/openai/openai-gpt-image1.mdx +++ b/ja/built-in-nodes/partner-node/image/openai/openai-gpt-image1.mdx @@ -5,8 +5,6 @@ sidebarTitle: "OpenAI GPT Image 1" icon: "circle" translationSourceHash: f6b1193a translationFrom: built-in-nodes/partner-node/image/openai/openai-gpt-image1.mdx, zh/built-in-nodes/partner-node/image/openai/openai-gpt-image1.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ OpenAI GPT Image 1 ノード](/images/built-in-nodes/api_nodes/openai/openai-gpt-image-1.jpg) diff --git a/ja/built-in-nodes/partner-node/image/recraft/recraft-color-rgb.mdx b/ja/built-in-nodes/partner-node/image/recraft/recraft-color-rgb.mdx index 70c676a5c..7a3ee7fa1 100644 --- a/ja/built-in-nodes/partner-node/image/recraft/recraft-color-rgb.mdx +++ b/ja/built-in-nodes/partner-node/image/recraft/recraft-color-rgb.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Recraft Color RGB" icon: "circle" translationSourceHash: f98d9d0c translationFrom: built-in-nodes/partner-node/image/recraft/recraft-color-rgb.mdx, zh/built-in-nodes/partner-node/image/recraft/recraft-color-rgb.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Recraft Color RGB ノード](/images/built-in-nodes/api_nodes/recraft/recraft-color-rgb.jpg) diff --git a/ja/built-in-nodes/partner-node/image/recraft/recraft-controls.mdx b/ja/built-in-nodes/partner-node/image/recraft/recraft-controls.mdx index 2257ad5ea..cf7b0c76c 100644 --- a/ja/built-in-nodes/partner-node/image/recraft/recraft-controls.mdx +++ b/ja/built-in-nodes/partner-node/image/recraft/recraft-controls.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Recraft Controls" icon: "circle" translationSourceHash: e8a9d8d4 translationFrom: built-in-nodes/partner-node/image/recraft/recraft-controls.mdx, zh/built-in-nodes/partner-node/image/recraft/recraft-controls.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Recraft Controls ノード](/images/built-in-nodes/api_nodes/recraft/recraft-contorols.jpg) diff --git a/ja/built-in-nodes/partner-node/image/recraft/recraft-image-inpainting.mdx b/ja/built-in-nodes/partner-node/image/recraft/recraft-image-inpainting.mdx index 5b74b5580..de488d58c 100644 --- a/ja/built-in-nodes/partner-node/image/recraft/recraft-image-inpainting.mdx +++ b/ja/built-in-nodes/partner-node/image/recraft/recraft-image-inpainting.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Recraft Image Inpainting" icon: "circle" translationSourceHash: dc90c48a translationFrom: built-in-nodes/partner-node/image/recraft/recraft-image-inpainting.mdx, zh/built-in-nodes/partner-node/image/recraft/recraft-image-inpainting.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Recraft Image Inpainting ノード](/images/built-in-nodes/api_nodes/recraft/recraft-image-inpainting.jpg) diff --git a/ja/built-in-nodes/partner-node/image/recraft/recraft-replace-background.mdx b/ja/built-in-nodes/partner-node/image/recraft/recraft-replace-background.mdx index 18ddc6b31..8f74ab856 100644 --- a/ja/built-in-nodes/partner-node/image/recraft/recraft-replace-background.mdx +++ b/ja/built-in-nodes/partner-node/image/recraft/recraft-replace-background.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Recraft Replace Background" icon: "circle" translationSourceHash: c4f8865e translationFrom: built-in-nodes/partner-node/image/recraft/recraft-replace-background.mdx, zh/built-in-nodes/partner-node/image/recraft/recraft-replace-background.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Recraft Replace Background ノード](/images/built-in-nodes/api_nodes/recraft/recraft-replace-background.jpg) diff --git a/ja/built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster.mdx b/ja/built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster.mdx index 149084e4e..9a8096afe 100644 --- a/ja/built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster.mdx +++ b/ja/built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Recraft Style - Logo Raster" icon: "circle" translationSourceHash: 2e1f779d translationFrom: built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster.mdx, zh/built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み Recraft Style - Logo Raster ノード](/images/built-in-nodes/api_nodes/recraft/recraft-style-logo-raster.jpg) diff --git a/ja/built-in-nodes/partner-node/image/recraft/recraft-text-to-image.mdx b/ja/built-in-nodes/partner-node/image/recraft/recraft-text-to-image.mdx index 5938dc658..80e016904 100644 --- a/ja/built-in-nodes/partner-node/image/recraft/recraft-text-to-image.mdx +++ b/ja/built-in-nodes/partner-node/image/recraft/recraft-text-to-image.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Recraft Text to Image" icon: "circle" translationSourceHash: 78cce395 translationFrom: built-in-nodes/partner-node/image/recraft/recraft-text-to-image.mdx, zh/built-in-nodes/partner-node/image/recraft/recraft-text-to-image.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み Recraft Text to Image ノード](/images/built-in-nodes/api_nodes/recraft/recraft-text-to-image.jpg) diff --git a/ja/built-in-nodes/partner-node/image/recraft/recraft-vectorize-image.mdx b/ja/built-in-nodes/partner-node/image/recraft/recraft-vectorize-image.mdx index 2292f7d77..d880be24f 100644 --- a/ja/built-in-nodes/partner-node/image/recraft/recraft-vectorize-image.mdx +++ b/ja/built-in-nodes/partner-node/image/recraft/recraft-vectorize-image.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Recraft Vectorize Image" icon: "circle" translationSourceHash: 364663cb translationFrom: built-in-nodes/partner-node/image/recraft/recraft-vectorize-image.mdx, zh/built-in-nodes/partner-node/image/recraft/recraft-vectorize-image.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み Recraft Vectorize Image ノード](/images/built-in-nodes/api_nodes/recraft/recraft-vectorize-image.jpg) diff --git a/ja/built-in-nodes/partner-node/image/recraft/save-svg.mdx b/ja/built-in-nodes/partner-node/image/recraft/save-svg.mdx index 83b37dff6..675345e5a 100644 --- a/ja/built-in-nodes/partner-node/image/recraft/save-svg.mdx +++ b/ja/built-in-nodes/partner-node/image/recraft/save-svg.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Save SVG" icon: "circle" translationSourceHash: 18f13733 translationFrom: built-in-nodes/partner-node/image/recraft/save-svg.mdx, zh/built-in-nodes/partner-node/image/recraft/save-svg.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み Save SVG ノード](/images/built-in-nodes/api_nodes/recraft/save-svg.jpg) diff --git a/ja/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image.mdx b/ja/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image.mdx index 1e775e66f..6aab4cd87 100644 --- a/ja/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image.mdx +++ b/ja/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Stability AI SD 3.5 画像" icon: "circle" translationSourceHash: 7c2c6512 translationFrom: built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image.mdx, zh/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Stability AI Stable Diffusion 3.5 ノード](/images/built-in-nodes/api_nodes/stability-ai/stability-ai-stable-image-sd-3-5.jpg) diff --git a/ja/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra.mdx b/ja/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra.mdx index b58426c89..f0f1b5a40 100644 --- a/ja/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra.mdx +++ b/ja/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Stability Stable Image Ultra" icon: "circle" translationSourceHash: 0cb2b5aa translationFrom: built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra.mdx, zh/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Stability Stable Image Ultra ノード](/images/built-in-nodes/api_nodes/stability-ai/stability-ai-stable-image-ultra.jpg) diff --git a/ja/built-in-nodes/partner-node/video/google/google-veo2-video.mdx b/ja/built-in-nodes/partner-node/video/google/google-veo2-video.mdx index dece23f3b..b30c46b82 100644 --- a/ja/built-in-nodes/partner-node/video/google/google-veo2-video.mdx +++ b/ja/built-in-nodes/partner-node/video/google/google-veo2-video.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Google Veo2 Video" icon: "circle" translationSourceHash: 881bd5a0 translationFrom: built-in-nodes/partner-node/video/google/google-veo2-video.mdx, zh/built-in-nodes/partner-node/video/google/google-veo2-video.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Google Veo2 Video ノード](/images/built-in-nodes/api_nodes/google/veo2-video-generation.jpg) diff --git a/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v.mdx b/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v.mdx index 08e223b4a..441ebbed4 100644 --- a/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v.mdx +++ b/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Kling 画像から動画へ (カメラ制御)" icon: "circle" translationSourceHash: 47feaac7 translationFrom: built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v.mdx, zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み Kling 画像から動画へ (カメラ制御) ノード](/images/built-in-nodes/api_nodes/kwai_vgi/kling-camera-control-i2v.jpg) diff --git a/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v.mdx b/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v.mdx index 74a20cbca..aee588b86 100644 --- a/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v.mdx +++ b/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Kling テキストから動画へ (カメラ制御)" icon: "circle" translationSourceHash: 99989aac translationFrom: built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v.mdx, zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み Kling テキストから動画へ (カメラ制御) ノード](/images/built-in-nodes/api_nodes/kwai_vgi/kling-camera-control-t2v.jpg) diff --git a/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video.mdx b/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video.mdx index 4fa1bd7ad..c5ba2293e 100644 --- a/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video.mdx +++ b/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Kling Image to Video" icon: "circle" translationSourceHash: 16cdc6d8 translationFrom: built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video.mdx, zh/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み Kling Image to Video ノード](/images/built-in-nodes/api_nodes/kwai_vgi/kling-image-to-video.jpg) diff --git a/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video.mdx b/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video.mdx index da6c3015f..c8b6deaa1 100644 --- a/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video.mdx +++ b/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Kling Start-End Frame to Video" icon: "circle" translationSourceHash: e61c56b6 translationFrom: built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video.mdx, zh/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み Kling Start-End Frame to Video ノード](/images/built-in-nodes/api_nodes/kwai_vgi/kling-start-end-frame-to-video.jpg) diff --git a/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video.mdx b/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video.mdx index 7882ddb82..9fc641472 100644 --- a/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video.mdx +++ b/ja/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Kling Text to Video" icon: "circle" translationSourceHash: a9bef4b5 translationFrom: built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video.mdx, zh/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み Kling Text to Video ノード](/images/built-in-nodes/api_nodes/kwai_vgi/kling-text-to-video.jpg) diff --git a/ja/built-in-nodes/partner-node/video/luma/luma-concepts.mdx b/ja/built-in-nodes/partner-node/video/luma/luma-concepts.mdx index abe8ceec1..27a6bb2f8 100644 --- a/ja/built-in-nodes/partner-node/video/luma/luma-concepts.mdx +++ b/ja/built-in-nodes/partner-node/video/luma/luma-concepts.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Luma Concepts" icon: "circle" translationSourceHash: 34251163 translationFrom: built-in-nodes/partner-node/video/luma/luma-concepts.mdx, zh/built-in-nodes/partner-node/video/luma/luma-concepts.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Luma Concepts ノード](/images/built-in-nodes/api_nodes/luma/luma-concepts.jpg) diff --git a/ja/built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx b/ja/built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx index 1cdc39113..109b8c9f5 100644 --- a/ja/built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx +++ b/ja/built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Luma Image to Video" icon: "circle" translationSourceHash: 469e3619 translationFrom: built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx, zh/built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Luma Image to Video ノード](/images/built-in-nodes/api_nodes/luma/luma-image-to-video.jpg) diff --git a/ja/built-in-nodes/partner-node/video/luma/luma-text-to-video.mdx b/ja/built-in-nodes/partner-node/video/luma/luma-text-to-video.mdx index 2f2a8aed6..80a696df0 100644 --- a/ja/built-in-nodes/partner-node/video/luma/luma-text-to-video.mdx +++ b/ja/built-in-nodes/partner-node/video/luma/luma-text-to-video.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Luma Text to Video" icon: "circle" translationSourceHash: 1bb8f5a8 translationFrom: built-in-nodes/partner-node/video/luma/luma-text-to-video.mdx, zh/built-in-nodes/partner-node/video/luma/luma-text-to-video.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Luma Text to Video ノード](/images/built-in-nodes/api_nodes/luma/luma-text-to-video.jpg) diff --git a/ja/built-in-nodes/partner-node/video/minimax/minimax-image-to-video.mdx b/ja/built-in-nodes/partner-node/video/minimax/minimax-image-to-video.mdx index 44afc2487..87a02b73a 100644 --- a/ja/built-in-nodes/partner-node/video/minimax/minimax-image-to-video.mdx +++ b/ja/built-in-nodes/partner-node/video/minimax/minimax-image-to-video.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MiniMax Image to Video" icon: "circle" translationSourceHash: dd98f2fe translationFrom: built-in-nodes/partner-node/video/minimax/minimax-image-to-video.mdx, zh/built-in-nodes/partner-node/video/minimax/minimax-image-to-video.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ MiniMax Image to Video ノード](/images/built-in-nodes/api_nodes/minimax/minimax-image-to-video.jpg) diff --git a/ja/built-in-nodes/partner-node/video/minimax/minimax-text-to-video.mdx b/ja/built-in-nodes/partner-node/video/minimax/minimax-text-to-video.mdx index c33b3a142..5ee6c080a 100644 --- a/ja/built-in-nodes/partner-node/video/minimax/minimax-text-to-video.mdx +++ b/ja/built-in-nodes/partner-node/video/minimax/minimax-text-to-video.mdx @@ -5,8 +5,6 @@ sidebarTitle: "MiniMax Text to Video" icon: "circle" translationSourceHash: bc9b6126 translationFrom: built-in-nodes/partner-node/video/minimax/minimax-text-to-video.mdx, zh/built-in-nodes/partner-node/video/minimax/minimax-text-to-video.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ MiniMax Text to Video ノード](/images/built-in-nodes/api_nodes/minimax/minimax-text-to-video.jpg) diff --git a/ja/built-in-nodes/partner-node/video/pika/pika-image-to-video.mdx b/ja/built-in-nodes/partner-node/video/pika/pika-image-to-video.mdx index 644ffdc79..41717f1f1 100644 --- a/ja/built-in-nodes/partner-node/video/pika/pika-image-to-video.mdx +++ b/ja/built-in-nodes/partner-node/video/pika/pika-image-to-video.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Pika 2.2 画像から動画へ" icon: "circle" translationSourceHash: 9c4d8c57 translationFrom: built-in-nodes/partner-node/video/pika/pika-image-to-video.mdx, zh/built-in-nodes/partner-node/video/pika/pika-image-to-video.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Pika 2.2 画像から動画へノード](/images/built-in-nodes/api_nodes/pika/pika-2-2-image-to-video.jpg) diff --git a/ja/built-in-nodes/partner-node/video/pika/pika-scenes.mdx b/ja/built-in-nodes/partner-node/video/pika/pika-scenes.mdx index d34901546..d4b987338 100644 --- a/ja/built-in-nodes/partner-node/video/pika/pika-scenes.mdx +++ b/ja/built-in-nodes/partner-node/video/pika/pika-scenes.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Pika 2.2 Scenes" icon: "circle" translationSourceHash: ee58f062 translationFrom: built-in-nodes/partner-node/video/pika/pika-scenes.mdx, zh/built-in-nodes/partner-node/video/pika/pika-scenes.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み Pika 2.2 Scenes ノード](/images/built-in-nodes/api_nodes/pika/pika-2-2-scenes.jpg) diff --git a/ja/built-in-nodes/partner-node/video/pika/pika-text-to-video.mdx b/ja/built-in-nodes/partner-node/video/pika/pika-text-to-video.mdx index 1e3ec9a1e..e0b7dac26 100644 --- a/ja/built-in-nodes/partner-node/video/pika/pika-text-to-video.mdx +++ b/ja/built-in-nodes/partner-node/video/pika/pika-text-to-video.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Pika 2.2 Text to Video" icon: "circle" translationSourceHash: 978e0979 translationFrom: built-in-nodes/partner-node/video/pika/pika-text-to-video.mdx, zh/built-in-nodes/partner-node/video/pika/pika-text-to-video.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ Pika 2.2 Text to Video ノード](/images/built-in-nodes/api_nodes/pika/pika-2-2-text-to-video.jpg) diff --git a/ja/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video.mdx b/ja/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video.mdx index 2c883664d..5b4b9a9c0 100644 --- a/ja/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video.mdx +++ b/ja/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video.mdx @@ -5,8 +5,6 @@ sidebarTitle: "PixVerse テキストから動画へ" icon: "circle" translationSourceHash: 9b4e1ca7 translationFrom: built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video.mdx, zh/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video.mdx -translationMismatches: - - "description" --- ![ComfyUI 組み込み PixVerse テキストから動画へノード](/images/built-in-nodes/api_nodes/pixverse/pixverse-text-to-video.jpg) diff --git a/ja/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video.mdx b/ja/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video.mdx index dc8edd7b3..f0dd2752b 100644 --- a/ja/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video.mdx +++ b/ja/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video.mdx @@ -5,8 +5,6 @@ sidebarTitle: "PixVerse Transition Video" icon: "circle" translationSourceHash: a8e37af4 translationFrom: built-in-nodes/partner-node/video/pixverse/pixverse-transition-video.mdx, zh/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video.mdx -translationMismatches: - - "description" --- ![ComfyUI ネイティブ PixVerse Transition Video ノード](/images/built-in-nodes/api_nodes/pixverse/pixverse-transition-video.jpg) diff --git a/ja/built-in-nodes/sampling/ksampler.mdx b/ja/built-in-nodes/sampling/ksampler.mdx index c5432d407..d8a5ba1b6 100644 --- a/ja/built-in-nodes/sampling/ksampler.mdx +++ b/ja/built-in-nodes/sampling/ksampler.mdx @@ -5,8 +5,6 @@ sidebarTitle: "Ksampler" icon: "circle" translationSourceHash: 60a1c6f5 translationFrom: built-in-nodes/sampling/ksampler.mdx, zh/built-in-nodes/sampling/ksampler.mdx -translationMismatches: - - "description" --- ![Ksampler](/images/built-in-nodes/sampling/ksampler.jpg) diff --git a/ja/built-in-nodes/unCLIPCheckpointLoader.mdx b/ja/built-in-nodes/unCLIPCheckpointLoader.mdx index e92b29d79..5d1c466f2 100644 --- a/ja/built-in-nodes/unCLIPCheckpointLoader.mdx +++ b/ja/built-in-nodes/unCLIPCheckpointLoader.mdx @@ -5,23 +5,23 @@ sidebarTitle: "unCLIPCheckpointLoader" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/unCLIPCheckpointLoader/ja.md) - このノードは、`ComfyUI/models/checkpoints` フォルダ内のモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、対応するフォルダからモデルファイルを読み込むために、**ComfyUI インターフェースを更新（リフレッシュ）** する必要があります。 unCLIPCheckpointLoader ノードは、unCLIP モデル専用に調整されたチェックポイントを読み込むために設計されています。指定されたチェックポイントからモデル、CLIP ビジョンモジュール、VAE の取得と初期化を容易にし、その後の操作や分析のためのセットアッププロセスを効率化します。 ## 入力 -| フィールド | Comfy データ型 | 説明 | -|------------|-------------------|-----------------------------------------------------------------------------------| -| `ckpt_name`| `COMBO[STRING]` | 読み込むチェックポイントの名前を指定します。事前定義されたディレクトリから正しいチェックポイントファイルを識別して取得し、モデルと設定の初期化を決定します。 | +| フィールド | 説明 | Comfy データ型 | +| --- | --- | --- | +| `ckpt_name` | 読み込むチェックポイントの名前を指定します。事前定義されたディレクトリから正しいチェックポイントファイルを識別して取得し、モデルと設定の初期化を決定します。 | `COMBO[STRING]` | ## 出力 -| フィールド | Comfy データ型 | 説明 | Python データ型 | -|-------------|---------------|--------------------------------------------------------------------------|---------------------| -| `model` | `MODEL` | チェックポイントから読み込まれた主要なモデルを表します。 | `torch.nn.Module` | -| `clip` | `CLIP` | チェックポイントから読み込まれた CLIP モジュールを表します（利用可能な場合）。 | `torch.nn.Module` | -| `vae` | `VAE` | チェックポイントから読み込まれた VAE モジュールを表します（利用可能な場合）。 | `torch.nn.Module` | -| `clip_vision`| `CLIP_VISION` | チェックポイントから読み込まれた CLIP ビジョンモジュールを表します（利用可能な場合）。| `torch.nn.Module` | \ No newline at end of file +| フィールド | 説明 | Comfy データ型 | Python データ型 | +| --- | --- | --- | --- | +| `model` | チェックポイントから読み込まれた主要なモデルを表します。 | `MODEL` | `torch.nn.Module` | +| `clip` | チェックポイントから読み込まれた CLIP モジュールを表します（利用可能な場合）。 | `CLIP` | `torch.nn.Module` | +| `vae` | チェックポイントから読み込まれた VAE モジュールを表します（利用可能な場合）。 | `VAE` | `torch.nn.Module` | +| `clip_vision` | チェックポイントから読み込まれた CLIP ビジョンモジュールを表します（利用可能な場合）。 | `CLIP_VISION` | `torch.nn.Module` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/unCLIPCheckpointLoader/ja.md) diff --git a/ja/built-in-nodes/unCLIPConditioning.mdx b/ja/built-in-nodes/unCLIPConditioning.mdx index d4cfb006f..90ce64ab5 100644 --- a/ja/built-in-nodes/unCLIPConditioning.mdx +++ b/ja/built-in-nodes/unCLIPConditioning.mdx @@ -5,21 +5,21 @@ sidebarTitle: "unCLIPConditioning" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/unCLIPConditioning/ja.md) - このノードは、CLIPビジョン出力を条件付けプロセスに統合し、指定された強度とノイズ拡張パラメータに基づいてこれらの出力の影響を調整するように設計されています。視覚的なコンテキストで条件付けを強化し、生成プロセスを向上させます。 ## 入力 -| パラメータ | Comfy dtype | 説明 | -|------------------------|------------------------|-------------| -| `コンディショニング` | `CONDITIONING` | CLIPビジョン出力が追加されるベースとなる条件付けデータであり、さらなる変更の基盤として機能します。 | -| `clip_vision_output` | `CLIP_VISION_OUTPUT` | CLIPビジョンモデルからの出力で、条件付けに統合される視覚的なコンテキストを提供します。 | -| `強度` | `FLOAT` | 条件付けに対するCLIPビジョン出力の影響の強度を決定します。 | -| `ノイズ増強` | `FLOAT` | 条件付けに統合する前に、CLIPビジョン出力に適用するノイズ拡張のレベルを指定します。 | +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `コンディショニング` | CLIPビジョン出力が追加されるベースとなる条件付けデータであり、さらなる変更の基盤として機能します。 | `CONDITIONING` | +| `clip_vision_output` | CLIPビジョンモデルからの出力で、条件付けに統合される視覚的なコンテキストを提供します。 | `CLIP_VISION_OUTPUT` | +| `強度` | 条件付けに対するCLIPビジョン出力の影響の強度を決定します。 | `FLOAT` | +| `ノイズ増強` | 条件付けに統合する前に、CLIPビジョン出力に適用するノイズ拡張のレベルを指定します。 | `FLOAT` | ## 出力 -| パラメータ | Comfy dtype | 説明 | -|-----------------------|------------------------|-------------| -| `コンディショニング` | `CONDITIONING` | 強化された条件付けデータで、適用された強度とノイズ拡張を含む統合済みのCLIPビジョン出力が含まれています。 | \ No newline at end of file +| パラメータ | 説明 | Comfy dtype | +| --- | --- | --- | +| `コンディショニング` | 強化された条件付けデータで、適用された強度とノイズ拡張を含む統合済みのCLIPビジョン出力が含まれています。 | `CONDITIONING` | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/unCLIPConditioning/ja.md) diff --git a/ja/built-in-nodes/wanBlockSwap.mdx b/ja/built-in-nodes/wanBlockSwap.mdx index fa6bff334..7692f6446 100644 --- a/ja/built-in-nodes/wanBlockSwap.mdx +++ b/ja/built-in-nodes/wanBlockSwap.mdx @@ -5,21 +5,21 @@ sidebarTitle: "wanBlockSwap" icon: "circle" mode: wide --- -> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/wanBlockSwap/ja.md) - このノードは非推奨であり、機能はありません。モデルを入力として受け取り、変更せずに同じモデルを返します。「NOP」という説明は、何の操作も行わないことを示しています。 ## 入力 -| パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `モデル` | MODEL | はい | | ノードを通過させるモデル。 | +| パラメータ | 説明 | データ型 | 必須 | 範囲 | +| --- | --- | --- | --- | --- | +| `モデル` | ノードを通過させるモデル。 | MODEL | はい | | ## 出力 -| 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `モデル` | MODEL | 入力として提供されたモデルと同じもので、変更されていません。 | +| 出力名 | 説明 | データ型 | +| --- | --- | --- | +| `モデル` | 入力として提供されたモデルと同じもので、変更されていません。 | MODEL | + +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/wanBlockSwap/ja.md) --- **Source fingerprint (SHA-256):** `a7ab11efa864c6692b5acc2e75fada19e14a97690b809f02a2da0473a18a5164` diff --git a/ja/changelog/index.mdx b/ja/changelog/index.mdx index 452b53b48..ea6cfd96f 100644 --- a/ja/changelog/index.mdx +++ b/ja/changelog/index.mdx @@ -431,11 +431,13 @@ translationFrom: changelog/index.mdx 本リリースは安定性およびバグ修正に焦点を当てています。完全な技術的詳細については、GitHub 上の[完全な変更履歴](https://github.com/Comfy-Org/ComfyUI/compare/v0.17.1...v0.17.2)をご覧ください。 + これは、さまざまなバグ修正および安定性向上を含むパッチリリースです。本リリースに含まれる変更の完全な詳細については、v0.17.0 と v0.17.1 の間の完全な変更履歴比較をご覧ください。 + **アーキテクチャおよびパフォーマンス改善** @@ -468,6 +470,7 @@ translationFrom: changelog/index.mdx - `comfy-kitchen` をバージョン 0.2.8 へ、`comfy-aimdo` をバージョン 0.2.10 へ更新 + **新規ノードおよび機能** @@ -494,6 +497,7 @@ translationFrom: changelog/index.mdx - 動画ワークフローにおけるキーフレーム処理の精度を高めるため、`add_keyframe_index` および `append_keyframe` 関数に `causal_fix` パラメーターを追加 + **コア更新** @@ -581,6 +585,7 @@ translationFrom: changelog/index.mdx - ワークフローテンプレートをバージョン 0.9.4 へ更新 + **新規ノードおよび機能** @@ -624,6 +629,7 @@ translationFrom: changelog/index.mdx - Gemini/Nano banana API ノードが時折空白画像を返す問題を修正し、AI 主導の画像生成ワークフローの信頼性を向上。 + **バグ修正** @@ -656,6 +662,7 @@ translationFrom: changelog/index.mdx - ワークフローテンプレートを v0.7.69 へ更新 + **新規モデル対応** @@ -683,6 +690,7 @@ translationFrom: changelog/index.mdx - コードのリファクタリングおよびクリーンアップ（CLIP 前処理、`comfy-kitchen` 統合） + **システム要件** - PyTorch 2.4+ を最低バージョン要件とする @@ -713,6 +721,7 @@ translationFrom: changelog/index.mdx - Lumina/Z 画像モデルを最適化（未使用コンポーネントを削除） + **新規モデル対応** @@ -733,6 +742,7 @@ translationFrom: changelog/index.mdx - `--gpu-only` モードにおける ZImageFunControlNet のマスク結合問題を修正 + - GPT-Image-1.5 API ノードを追加 @@ -759,6 +769,7 @@ translationFrom: changelog/index.mdx - フロントエンドを v1.34.9 へ更新 + **モデル対応** @@ -807,6 +818,7 @@ translationFrom: changelog/index.mdx - 最新機能を入手するには、[こちら](https://www.comfy.org/download)から最新のデスクトップ版をダウンロードしてください。 + **フロントエンド UI/UX** @@ -855,6 +867,7 @@ translationFrom: changelog/index.mdx - Flux 2 テキストエンコーダの VRAM 使用量を最適化し、パフォーマンスを向上 + **新規モデル対応** @@ -880,6 +893,7 @@ translationFrom: changelog/index.mdx - Transformers バージョンを更新 + **モデル互換性および強化** @@ -902,4 +916,737 @@ translationFrom: changelog/index.mdx - ワークフローの命名に関する問題を修正し、複雑な処理パイプラインの全体的な安定性を向上 -- **Kling リップシンクの改善**：`KlingLipSyncAudioToVideoNode` の音声フォーマット変 \ No newline at end of file + + + +**CUDA 12.6 サポートと配布** +- 公式CUDA 12.6リリースワークフローとポータブルダウンロードのサポートを追加し、GPU互換性を向上 +- インストールを簡素化するため、修正されたポータブルダウンロードリンクをREADMEに更新 + +**モデル互換性と修正** +- **HunYuan 3D 2.0 サポート**: 3Dモデル生成ワークフローを改善するため、互換性の問題を修正 +- **EasyCache の改善**: 特定のモデル設定に影響する入出力チャンネルの不一致を解決 +- 潜在的に有害なネイティブカスタムノード実装を削除し、ブロックスワップ機能を強化 + +**API ノードの強化** +- **新しい Gemini モデルの追加**: テキストおよびマルチモーダル生成ワークフローで利用可能な AI モデルオプションを拡充 +- PRテンプレートの更新と Python 3.10 最低バージョン要件により、API ノード開発インフラストラクチャを改善 + +**開発とインフラ** +- カスタムノード開発におけるコード品質向上のため、pylint 設定を強化 +- より信頼性の高いアップデートのためのリリース自動化と配布プロセスを改善 + + + + + +**メモリとパフォーマンスの最適化** +- NVIDIAおよびAMD GPU向けに**ピンメモリをデフォルトで有効化** +- Flux、Qwen、LTX-Videoモデルの**VRAM使用量を削減** +- VRAM使用量の増加時に自動的にメモリを解放するスマートモデルアンロード +- オフロードストリームでのウェイトキャストパフォーマンスの向上 + +**新機能** +- **ScaleROPEノードがFluxモデルで動作するようになりました** +- トークナイザーに左パディングサポートを追加 +- `/history`および`/queue`エンドポイントに`create_time`フィールドを追加 + +**バグ修正** +- SingleStreamBlock/DoubleStreamBlockのカスタムノードインポートエラーを修正（暫定修正） +- Qwen ControlNetのリグレッションを修正 +- オフロードサポートと安定性の向上を備えた量子化操作を強化 +- モデル全体でRoPE関数の実装を統一 + + + + + +**パフォーマンスとメモリの最適化** +- 最適化されたモデルローディングのための**混合精度量子化システム**を導入 +- リソース制約下でのインテリジェントなメモリ管理のための**RAM圧力キャッシュモード**を追加 +- 自動低RAMハードウェア検出によりピン留めメモリを使用したモデルオフロードを高速化 +- FP8演算を強化: メモリ使用量を削減し、torch.compileのパフォーマンス低下を修正 +- 非同期オフロード速度を改善し、競合状態を解消 + +**新ノードと実行機能** +- **ScaleROPEノード**: WANおよびLuminaモデル向けRoPEスケーリングをサポート +- サブグラフの実行を強化し、単一ワークフロー内で複数回の実行を可能に +- バイトデータやNone出力の適切な処理によりキャッシュシステムを改善 + +**APIノードの強化** +- APIノードをV3クライアントアーキテクチャに移行: Luma, Minimax, Pixverse, Ideogram, StabilityAI, Pika, Recraft, Hypernetwork, OpenAI +- LTXV APIノードに12秒〜20秒の長さオプションを拡張 +- DALL-E 2ノードのimg2img操作を修正 +- Rodin3Dノードが適切な相対パスを返すように強化 + +**更新** +- 内蔵ドキュメントをv0.3.1に更新 +- ワークフローテンプレートをv0.2.11に更新 +- Windowsのピン留めメモリ割り当ての問題を修正 + + + + + +**APIノード** +- **LTXV API 統合**: Lightricks LTX ビデオ生成のための新しい LTXV API ノードを追加 +- 非同期操作とキャンセルサポートを備えた Network Client V2 へのアップグレード +- Tripo と Gemini API ノードを V3 スキーマに変換 + +**パフォーマンスと互換性** +- 新しい AMD GPU でのみ cudnn を無効にすることで AMD GPU サポートを改善 +- API ノードでの Windows 固有のネットワーク問題を修正し、再試行処理を改善 + +**コア機能の改善** +- ループのある --cache-none の動作を修正する、依存関係を認識するキャッシュシステムの強化 +- 多次元の潜在変数のサポートを追加 +- カスタムノードの公開サブグラフエンドポイントを追加 + +**更新** +- フロントエンドをバージョン 1.28.8 にバンプ +- テンプレートをバージョン 0.2.4 に更新 + + + + + +**フロントエンドの更新** +- **サブグラフウィジェット編集**: サブグラフ内部に入らずに、新しいパラメーターパネルから直接サブグラフパラメータを編集可能に +- **テンプレートモーダルの再設計**: モデルタグとカテゴリによる高度なフィルタリングを備えた新しいテンプレートブラウザ + +**パフォーマンス最適化** +- ワークフローキャンセル速度の改善 +- NVIDIA GPU上のPyTorch 2.9でVAEが3倍のメモリを消費する問題を修正 +- chroma radianceの処理速度を向上し、バッチサイズ1以上での問題を修正 + +**APIノード** +- Veo 3.1モデルのサポートを追加 +- 動画ワークフローでの高度な時間制御のためのTemporalScoreRescalingノードを追加 + +**ハードウェアと互換性** +- AMD gfx942 GPUでのFP8操作を無効化 +- --fast autotuneモードでのCUDAメモリ管理を改善 + +**実行とスキーマ** +- ControlNetノードをV3スキーマに変換 +- EasyCacheに適切なbatch_slice処理を追加 +- merge_nested_dicts機能の入力順序を改善 +- 未使用ファイルに対する非推奨警告を追加 + + + + + +**ノードスキーマ移行 (V3)** +- コアノードカテゴリをV3スキーマに移行しました（model downscale、LoRA extraction、compositing、latent ops、SD3/SLG、Flux、upscale models、HunyuanVideoノードを含む） + +**オーディオとモデルの改善** +- 高品質オーディオワークフロー向けにMMaudio 16K VAEサポートを追加 +- モノラル音声が誤ってステレオとして保存される問題を修正 +- モデルサンプリングシグマコードをリファクタリングし、FP8 scaled LoRAの問題を修正 +- 新しいNumPyバージョンで古いStable Diffusionチェックポイントの読み込みを修正 + +**AMD GPU最適化** +- SD/Flux VAE操作のメモリ推定を改善 +- ROCm 7.0以上でRDNA4 PyTorch attentionを有効化 + +**APIノードの更新** +- Kling/Pika APIノードに価格抽出機能を追加し改善 +- Gemini Image APIでaspect_ratioサポートを強化 + +**更新** +- テンプレート v0.1.95、ノードドキュメント v0.3.0 +- WAN2.2キャッシュVRAMリークを修正 + + + + + +**APIノード** +- OpenAIの動画生成API用のSora2 APIノードを追加しました。 + + + + + +**モデル互換性の強化** +- **HunyuanVAEサポート**: 新HunyuanVAEのサポートを追加し、高度な画像生成ワークフローのモデル互換性を拡張 +- **イプシロンスケーリングノード**: 拡散モデルの露出バイアスを低減する新しいイプシロンスケーリングノードを導入。予測ノイズをスケーリングすることで生成品質を向上（論文 [Elucidating the Exposure Bias in Diffusion Models](https://arxiv.org/abs/2308.15321) に基づく） + +**メモリとパフォーマンスの最適化** +- **VAEメモリリーク修正**: VAE OOM例外処理時にPythonコールスタックがテンソル参照を保持することで発生していたVRAMリークを修正。低VRAMデバイスでのタイリングフォールバックの信頼性を大幅に向上 +- **AMDサポート**: TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTALをデフォルトで有効化 + +**APIノードの更新** +- **Kling 2.5 Turbo**: txt2videoおよびimg2videoノードでkling-2-5-turboのサポートを追加し、モード設定の問題を修正 +- **APIノード修正**: Geminiノードのbase64処理を改善し、Recraft APIノード関数のインデント問題を修正 + +**ノードスキーマ移行 (V3)** +- **広範なV3変換**: audio encoder、GITS、differential diffusion、optimal steps、PAG、LT、IP2P、morphology、torch compile、EPS、Pixverse、TomeSD、edit model、Rodin、Stable3Dなど、多数のノードカテゴリをV3スキーマに移行し、ワークフロー互換性を向上 + +**開発者エクスペリエンスの向上** +- **コード品質**: comfy_api_nodesフォルダにpylintサポートを追加し、example_node.pyをV3スキーマに更新。カスタムノード開発の一貫性が向上 +- **ドキュメント更新**: Windowsユーザー向けに毎晩ビルドのPyTorchコマンドを追加し、AMDインストール手順を改善 + +**フロントエンドの更新** +- **サブグラフの公開**: サブグラフをノードライブラリに公開可能に +- **ノード選択ツールボックスの再設計**: ノード選択ツールボックスを再設計 + + + + + +**APIノード** +- **Rodin3D-Gen2パラメータ修正** +- **Seedance Proモデルサポート** + + + + +**APIノード** +- **Rodin3D Gen-2**: Rodinの最も強力な画像から3Dへのツールが、ComfyUIで利用可能になりました！ +- **WAN Image-to-Image**: Wan2.5 Image-to-Image APIノードが、画像編集をサポートします。 + +**強化されたオーディオ機能** +- **新しいオーディオノード**: オーディオ駆動のワークフローとマルチモーダルコンテンツ作成の強化のため、新しいオーディオノードが追加されました + +**モデル互換性の修正** +- **Qwen2.5VLテンプレート処理**: プロンプトにテンプレートが既に存在する場合の、Qwen2.5VLモデルのテンプレート管理を改善しました +- **HuMoビュー操作**: より安定した動画生成のため、HuMoモデルの .view() 操作の問題を修正しました + +**メモリとパフォーマンスの最適化** +- **メモリリーク修正**: モデルのファイナライザーを明示的にデタッチすることでメモリリークを解決し、長時間実行ワークフローの安定性を向上させました +- **サンプラーCFGの強化**: より柔軟な条件付け制御のために、サンプラーCFG関数の引数に 'input_cond' と 'input_uncond' パラメータを追加しました + + + + +**新モデルサポート** +- **Wan2.2 Animate**: キャラクター置き換えとモーション転送機能を備えたWan2.2 Animate動画生成モデルをサポート +- **Qwen Image Edit 2509サポート**: マルチ画像編集、より高い一貫性、ネイティブControlNetサポートを実現したアップデート版Qwen Image Edit 2509に対応 +- **HuMo Models**: 音声で動画生成を駆動し、リップシンクを維持する1.7Bおよび17BのHuMoモデルをサポート +- **Chroma Radiance**: ピクセル空間で画像生成を行い、生成過程でのロスを低減するモデル +- **Omnigen2 UMO LoRA**: Omnigen2 UMO LoRAモデルのサポートを追加 + +**APIノード追加** +- **Kling v2.1サポート**: KlingStartEndFrameノードにkling-v2-1モデルを追加 +- **Seedream4の修正**: 部分成功時のエラーを無視するフラグを修正し、ワークフローの堅牢性を向上 + +**ノードスキーマ移行（V3）** +- **コアノード更新**: Minimax API、Cosmos、conditioning、CFG、Cannyノードを含む複数のノードカテゴリをV3スキーマに移行 + +**パフォーマンスと技術的改善** +- **FP8演算**: gfx1200ハードウェアでデフォルトでFP8演算を有効化し、処理を高速化 +- **LoRA Trainer修正**: LoRAトレーニングワークフローにおけるFP8モデル互換性のバグを修正 + +**フロントエンド更新** +- **フロントエンドバージョン更新**: バージョン1.26.13に更新 + + + + + +**ByteDance Seedream 4.0 統合** +- **新しいSeedreamノード**: ByteDanceSeedream (4.0) ノードを追加しました。 + + + + + +**新モデルのサポート** +- Hunyuan Image 2.1 標準モデル +- Hunyuan 3D 2.1 + +**新しいAPIノード** +- Stable Audio 2.5 API +- Seedance Video API + + + + +**ByteDance USOモデルのサポート** +- **UXO Subject Identity LoRA サポート**: FLUXアーキテクチャに基づく被写体識別LoRAモデルです +- **関連ワークフロー**: テンプレート `Flux` -> `Flux.1 Dev USO Reference Image Generation` にワークフローがあります + +**ワークフローユーティリティ** +- **ImageScaleToMaxDimension ノード**: インテリジェントな画像スケーリングのための新ユーティリティ +- **SEEDS ノイズシステム**: 改良されたアルゴリズムによるノイズ分解の更新 +- **強化されたプロンプト制御**: 割り込みハンドラーが prompt_id パラメータを受け入れるようになりました + +**パフォーマンスとアーキテクチャ** +- **V3 スキーマ移行**: 一部のコアノードを V3 スキーマに変換 +- **畳み込み自動チューニング**: 自動畳み込み最適化を有効化 + +**新しいAPI統合** +- **ByteDance Image ノード**: ByteDance の画像生成サービスのサポートを追加 +- **Ideogram Character Reference**: Ideogram v3 API がキャラクター参照をサポートするようになりました + + + + +**パフォーマンス向上** +- **WindowsでのRAM使用量の削減** + + + + +**Wan2.2 S2V ワークフロー強化 & モデルサポート拡充** + +今回のリリースでは、Wan2.2 S2V 関連の動画ワークフロー機能とモデルサポートの拡充に焦点を当てています。 + +**Wan2.2 S2V ワークフロー制御** +- **WanSoundImageToVideoExtend ノード**: 音声駆動の動画ワークフロー向けの新しい手動動画延長ノードで、生成される動画の長さとタイミングをクリエイターが正確に制御できるようになります。これにより、音声コンテンツがどのように動画シーケンスに変換されるかを細かく調整できます。 +- **音声-動画同期**: 動画を音声の長さを超えて延長した際にワークフローが失敗する重大な問題を修正し、音声の長さに関わらず安定した音声から動画への生成を保証します。 +- **自動音声トリミング**: 動画保存時に音声が動画の長さに自動的にトリミングされ、最終出力ファイルでの音声-動画の同期問題を解消します。 + +**高度な潜在変数処理** +- **LatentCut ノード**: 潜在変数を正確な位置でカットする新しいノードで、複雑な生成ワークフローでの潜在空間操作をより細かく制御できます。これは特にバッチ処理や時間的な動画ワークフローで有用で、動画から特定のフレームを削除するなどの操作が可能です。 + +**Wan2.2 5B モデル統合** +- **Fun Control モデルサポート**: Wan2.2 5B fun control モデルのサポートを追加しました。 +- **Fun Inpaint モデルサポート**: Wan2.2 5B fun inpaint モデルを統合しました。 + + + + + +**ノードモデルパッチの改善** + +この集中的なアップデートにより、ComfyUIの柔軟なアーキテクチャを支える中核的なノードモデルパッチシステムが改善されました。 + +**コアインフラストラクチャの強化** +- **ノードモデルパッチの更新**: nodes_model_patch.pyが改良され、モデルパッチのメカニズムが強化されました。これにより、Qwen-Image ControlNet向けのComfyUI拡張機能の開発が容易になります。 + +**ワークフローの利点** +- **安定性の向上**: コアモデルパッチの改善により、さまざまなワークフロー構成でノードの実行とモデル処理の信頼性が向上します。 + + + + + +**音声ワークフロー統合とパフォーマンス最適化の強化** + +このリリースでは、ComfyUIに音声処理機能が追加され、パフォーマンス改善とモデル互換性のアップデートが含まれています： + +**音声処理のアップデート** +- **Wav2vec2 Audio Encoder**: ネイティブwav2vec2実装が音声エンコーダーモデルとして追加され、マルチモーダルアプリケーション向けの音声→埋め込みワークフローが可能になりました +- **Audio Encoders Directory**: models/audio_encodersディレクトリが追加されました。これはWan2.2 S2Vの音声エンコーダー用ディレクトリです +- **AudioEncoderOutput V3サポート**: AudioEncoderOutputがV3ノードスキーマに対応し、最新のワークフローアーキテクチャとのシームレスな統合を実現します + +**Google Gemini API統合** +- **Gemini Image APIノード**: 新しいGoogle Gemini Image APIノードが追加されました。高い一貫性を持つ「nano-Nano-banana」画像編集モデルAPIです + +**動画生成のパフォーマンスとメモリ最適化** +- **WAN 2.2 S2Vモデルサポート**: 最適化されたメモリ使用量とパフォーマンスを備えたWAN 2.2 Sound-to-Videoモデルの実装が進行中です +- **S2Vパフォーマンスの強化**: 120フレームを超える動画生成のパフォーマンスが改善され、長時間の動画ワークフローが向上しました +- **メモリ推定の改善**: S2Vワークフローのメモリ使用量推定が改善され、長時間動画生成時のメモリ不足エラーを防止します +- **ネガティブ音声の処理**: S2Vワークフローでネガティブ音声入力の処理が修正され、適切なゼロ値が使用されるようになりました + +**サンプリングとノードの強化** +- **DPM++ 2M SDE Heun (RES) Sampler**: @Balladie氏による新しい高度なサンプラーが追加され、細かい生成制御のためのサンプリングオプションが追加されました +- **LatentConcatノード**: 潜在テンソルを連結する新しいノードで、高度な潜在空間操作ワークフローを可能にします +- **EasyCache/LazyCacheの安定性**: サンプリング中にテンソルプロパティ（形状/データ型/デバイス）が変化した場合の致命的なクラッシュを修正し、ワークフローの信頼性を確保しました + +**モデル互換性の改善** +- **ControlNetタイプモデル**: Qwen EditやKontextワークフローで動作するControlNetタイプモデルの互換性修正を強化しました +- **Fluxメモリ最適化**: Fluxモデルのメモリ使用量係数を調整し、リソース活用を改善しました + +**インフラと信頼性** +- **テンプレートの更新**: バージョン0.1.66と0.1.68に更新されました +- **ドキュメントの整理**: 不完全に実装されたモデルをREADMEから削除し、ユーザーの混乱を回避しました + + + + + +**モデルサポートの拡張とQwen Image ControlNetの統合** + +このリリースでは、ControlNetの機能を大幅に拡張し、モデルの互換性を向上させ、ComfyUIのワークフローをより多用途で信頼性の高いものにします。 + +**Qwen ControlNetエコシステム** +- **Diffsynth ControlNetサポート**: Qwen Diffsynth ControlNetsにCannyと深度条件付けのサポートを追加し、正確なエッジと深度に基づく画像制御を可能にしました。 +- **InstantX Qwen ControlNet**: InstantX Qwen ControlNetを統合し、創造的な制御オプションを拡張しました。 +- **Inpaint ControlNet/モデルパッチ**: 専用のDiffsynth inpaint ControlNetサポートにより、インペイント機能を強化しました。 + +**ノードアーキテクチャとAPIの進化** +- **V3アーキテクチャへの移行**: 文字列ノード、Google Veo API、Ideogram APIノードをV3アーキテクチャにアップグレードし、パフォーマンスと一貫性を向上させました。 +- **APIノードの強化**: OpenAI Chatノードを明確化のため「OpenAI ChatGPT」に改名し、Gemini Chatノードにコピーボタン機能を追加しました。 +- **使いやすさの向上**: APIノードは、より明確なラベル付けと強化されたインタラクション機能により、優れたユーザーエクスペリエンスを提供します。 + +**ワークフローの信頼性とパフォーマンス** +- **LTXVノイズマスクの修正**: 実際のノイズマスクが存在する場合のキーフレームノイズマスクの寸法問題を解決し、安定したビデオワークフローの実行を保証します。 +- **3D潜在変数条件付け制御**: 3D潜在変数の条件付けマスクを修正し、高度なワークフローで適切な深度認識条件付け制御を可能にしました。 +- **無効なファイル名処理**: 無効なファイル名を適切に処理することでワークフローの保存機能を改善し、保存失敗を防止します。 +- **EasyCache & LazyCache**: ワークフロー実行パフォーマンスを向上させる高度なキャッシングシステムを実装しました。 + +**プラットフォームと開発の改善** +- **Python 3.13サポート**: Python 3.13との完全な互換性を実現し、ComfyUIを最新のPython開発に対応させます。 +- **フロントエンドアップデート**: ナビゲーションとユーザーインターフェースの改善を含むv1.25.10に更新されました。 +- **要素単位融合**: 要素単位演算の融合によるパフォーマンス最適化を追加しました。 +- **ナビゲーションモードのロールバック**: 標準ナビゲーションモードがデフォルトで有効になっていたことによるユーザーエクスペリエンスの問題を回避するため、ナビゲーションのデフォルトを従来のレガシーモードに戻しました。標準ナビゲーションモードは引き続き設定で有効にできます。 + + + + + +**モデルサポート** +- **Qwen-Image-Editモデル**: Qwen-Image-Editのネイティブサポート +- **FluxKontextMultiReferenceLatentMethodノード**: Fluxワークフロー用の複数参照入力ノード +- **WAN 2.2 Fun Cameraモデルサポート**: カメラコントロールによる動画生成のサポート +- **テンプレート更新**: バージョン0.1.62にアップグレード、Wan2.2 Fun CameraとQwen Image Editテンプレートを追加 + +**コア機能改善** +- **コンテキストウィンドウサポート**: サンプリングコードを強化し、より長いシーケンス生成タスクをサポート +- **SDPAバックエンド最適化**: Scaled Dot Product Attentionバックエンドの設定を改善しパフォーマンス向上 + +**マルチメディアノードサポート** +- **音声録音ノード**: 新しいネイティブ音声録音ノードで、ComfyUI内で直接音声を録音可能に +- **音声動画統合**: 音声と動画の依存関係を完全に統合 + +**APIノードサポート更新** +- **GPT-5シリーズモデル**: 最新のGPT-5モデルをサポート +- **Kling V2-1およびV2-1-Master**: 動画生成モデルの機能を更新 +- **Minimax Hailuo動画ノード**: 新しい動画生成ノード +- **Vidu動画ノード**: Vidu APIノードのサポート +- **Googleモデル更新**: 新しいGoogle Geminiモデルを追加 +- **OpenAI API修正**: OpenAI APIノードの入力画像におけるMIMEタイプエラーを修正 + +**パフォーマンス最適化** +- **Intel GPU互換性**: Intel統合GPUの互換性問題を修正 +- **PyTorch互換性**: 古いバージョンのPyTorchとの互換性を向上 +- **Torch Compile最適化**: torch compileの動作を改善 +- **メモリ管理**: インストールサイズとメモリ効率を最適化 + +**フロントエンドの変更** +- **サブグラフサポート**: サブグラフ機能のサポート +- **ショートカットパネル**: 下部にショートカットパネルを追加 +- **UIレイアウト変更**: ターミナルエントリのレイアウトを変更、テンプレート、ログパネルなどのエントリを追加 +- **標準キャンバスモード**: 標準キャンバスモードを追加、`Lite Graph` > `Canvas` > `Canvas Navigation Mode` で切り替え可能 +- **ミニマップ**: ワークフローのミニマップを追加 +- **タブプレビュー**: ワークフロータブのプレビューを追加 +- **トップタブメニューのレイアウト調整** + + + + + +**モデル統合とパフォーマンス強化** + +このリリースでは、Qwenサポートの強化、非同期API機能、複雑なワークフロー向けの安定性向上により、ComfyUIのモデルエコシステムが拡張されました: + +**Qwenモデルエコシステム** +- **Qwen画像モデルサポート**: LoRAの適切な読み込みとモデルマージ機能を含む統合改善により、洗練されたビジョンワークフローに対応 +- **Qwenモデルマージノード**: Qwen画像モデルをマージするための新しい専用ノードを追加。クリエイターは異なるモデルの長所を組み合わせることが可能に +- **SimpleTuner Lycoris LoRAサポート**: SimpleTunerでトレーニングされたLycoris LoRAとQwen-Imageモデルとの互換性を拡張 + +**APIとパフォーマンスのインフラ** +- **非同期APIノード**: 非同期APIノードの導入により、ノンブロッキングなワークフロー実行が可能になり、パフォーマンスが向上 +- **メモリ処理**: RepeatLatentBatchノードが多次元の潜在変数を適切に処理するよう強化され、ワークフローの中断を修正 +- **WAN 2.2 Fun Controlサポート**: WAN 2.2のファン制御機能のサポートを追加し、ビデオワークフローのクリエイティブコントロールを拡大 + +**ハードウェア最適化と互換性** +- **AMD GPUの改善**: AMD Radeonサポートを強化し、FP16精度処理とパフォーマンス最適化を改善 +- **RDNA3アーキテクチャの修正**: FluxモデルとPyTorchアテンション使用時にgfx1201 GPUで発生していた問題を解決 +- **PyTorchサポートの更新**: CUDAおよびROCM PyTorchバージョンを更新し、Python 3.13とCUDA 12.9でのテストを実施 + +**開発者エクスペリエンスの向上** +- **ログのクリーン化**: 機能フラグは詳細モードでのみ表示されるようになり、コンソールのノイズを低減 +- **オーディオ処理の安全性**: torchaudioインポートの安全性チェックを強化し、オーディオ依存関係が利用できない場合のクラッシュを防止 +- **Kling APIの改善**: Kling Image APIノードでの画像タイプパラメータの処理を修正 + +**ワークフローへのメリット** +- **非同期ワークフロー実行**: 新しい非同期API機能により、外部サービス統合時のワークフローの応答性が向上 +- **モデルの柔軟性**: Qwenサポートの拡大により、LoRA互換性が改善され、より多様なビジョン言語ワークフローが可能に +- **ハードウェア活用**: AMD GPUの最適化とPyTorchサポートの更新により、さまざまなハードウェア構成でパフォーマンスが向上 +- **バッチ処理**: RepeatLatentBatchの修正により、複雑な多次元データ構造でも確実に動作 +- **ビデオ制御**: WAN 2.2のファン制御機能により、ビデオ生成ワークフローで高度なクリエイティブコントロールを実現 + + + + + +**UI体験とモデルサポート** + +このリリースでは、ワークフローの作成とパフォーマンスを向上させるユーザー体験の改善とモデルサポートが行われました。 + +**ユーザーインターフェースの強化** +- **最近使ったアイテムAPI**: インターフェースで最近使用したアイテムを追跡する新しいAPIにより、ワークフロー作成が効率化されました +- **ワークフローナビゲーション**: よく使う要素の整理が改善され、ユーザー体験が向上しました + +**モデル統合** +- **Qwen Vision Modelサポート**: Qwen画像モデルの初期サポートが追加され、設定オプションが提供されます +- **画像処理**: Qwenモデルの統合が強化され、より多彩な画像解析や生成ワークフローが可能になりました + +**動画生成** +- **Veo3動画生成**: オーディオ統合を備えたVeo3動画生成ノードが追加されました +- **音声と映像の合成**: 単一のノードで動画と音声の生成を組み合わせる機能 + +**パフォーマンスと安定性の向上** +- **メモリ管理**: キャスト操作とデバイス転送の改善により、条件付きVRAM使用が最適化されました +- **デバイス一貫性**: すべてのコンディショニングデータとコンテキストが正しいデバイスに留まるように修正 +- **ControlNetの安定性**: ControlNetの互換性問題が解決され、画像制御ワークフローの機能が復旧しました + +**開発者およびシステムの強化** +- **エラーハンドリング**: コンディショニングデバイスが一致しない場合の警告とクラッシュ防止対策を追加 +- **テンプレート更新**: 互換性を維持しながら複数のテンプレートバージョン(0.1.47, 0.1.48, 0.1.51)を更新 + +**ワークフロー上のメリット** +- **イテレーションの高速化**: 最近使ったアイテムAPIにより、ワークフローの構築と修正がスピードアップ +- **創造性の拡大**: Qwenビジョンモデルにより、画像理解や操作ワークフローに新たな可能性が開かれます +- **動画制作**: Veo3統合により、ComfyUIが包括的なマルチメディア制作プラットフォームへと進化 +- **信頼性**: メモリ最適化とデバイス管理の修正により、複雑なワークフローでも安定した動作を実現 +- **パフォーマンス**: VRAM使用の最適化により、限られたリソースのシステムでもより野心的なプロジェクトが可能に + + + + + +**APIの強化とパフォーマンス最適化** + +このリリースでは、ワークフローの実行とノード開発を強化するバックエンドの改善とパフォーマンス最適化が導入されています。 + +**ComfyAPIコアフレームワーク** +- **ComfyAPI Core v0.0.2**: コアAPIフレームワークのアップデートにより、安定性と拡張性が向上 +- **部分実行サポート**: 部分的なワークフロー実行の新たなバックエンドサポートにより、多段階ワークフローの効率的な処理が可能に + +**動画処理の改善** +- **WANカメラメモリ最適化**: WANベースのカメラワークフローのメモリ管理を強化し、VRAM使用量を削減 +- **WanFirstLastFrameToVideo修正**: clip visionコンポーネントが利用できない場合に適切な動画生成が行われない問題を解決 + +**パフォーマンスとモデルの最適化** +- **VAE非線形性の強化**: VAE操作において、手動の活性化関数を最適化されたtorch.siluに置き換え +- **WAN VAE最適化**: WAN VAE操作の微調整最適化により、処理速度とメモリ効率を向上 + +**ノードスキーマの進化** +- **V3ノードスキーマ定義**: 次世代ノードスキーマシステムの実装 +- **テンプレートの更新**: 互換性を確保する複数のテンプレートバージョン更新 (0.1.44, 0.1.45) + +**ワークフロー開発の利点** +- **ビデオワークフロー**: ビデオ生成パイプラインの安定性とパフォーマンスが向上 +- **メモリ管理**: 最適化されたメモリ使用パターンにより、限られたVRAMのシステムでより複雑なワークフローが可能に +- **APIの信頼性**: コアAPIの強化により、カスタムノード開発のより安定した基盤を提供 +- **実行の柔軟性**: 新しい部分実行機能により、より効率的なデバッグと開発が可能に + + + + + +**メモリ最適化と大規模モデルのパフォーマンス向上** + +このリリースでは、大規模モデルワークフローのメモリ最適化に焦点を当て、WAN 2.2モデルとVRAM管理のパフォーマンスを向上させています。 + +**WAN 2.2 モデルの最適化** +- **メモリ使用量の削減**: WAN 2.2 VAE処理において不要なメモリクローンを排除し、メモリ使用量を削減 +- **5B I2Vモデルサポート**: WAN 2.2 5B image-to-videoモデルのメモリ最適化により、これらのモデルをより利用しやすく + +**強化されたVRAM管理** +- **Windows大容量GPUサポート**: Windows上のハイエンドグラフィックカード向けに予約済みVRAM割り当てを追加 +- **メモリ割り当て**: 複数の大規模モデルを同時に扱うユーザーのメモリ管理を改善 + +**ワークフローパフォーマンスの向上** +- **VAE処理**: WAN 2.2 VAE処理がメモリオーバーヘッドを削減し、より効率的に実行 +- **大規模モデル推論**: 数十億パラメータのモデルを扱う際の安定性が向上 +- **バッチ処理**: メモリ最適化により、大規模モデルを使ったバッチ処理の取り扱いが改善 + + + + + +**ハードウェア高速化と音声処理** + +このリリースではハードウェアサポートを拡張し、音声処理機能を強化しています： + +**音声処理の強化** +- **PyAV 音声バックエンド**: 動画ワークフローでより信頼性の高い音声処理のため、torchaudio.load を PyAV に置き換えました +- **音声統合**: マルチメディア生成ワークフロー向けに音声処理機能を強化 + +**ハードウェアサポート** +- **Iluvatar CoreX サポート**: Iluvatar CoreX アクセラレータのネイティブサポートを追加 +- **Intel XPU 最適化**: 非同期オフロード機能を含む XPU サポートの改善 +- **AMD ROCm の強化**: Torch 2.8 上で gfx1201 向けに PyTorch attention をデフォルトで有効化 +- **CUDA メモリ管理**: CUDA が有効な PyTorch インストール時のみ CUDA malloc が動作するよう修正 + +**サンプリングアルゴリズムの改良** +- **Euler CFG++ の強化**: Euler CFG++ サンプラーで denoised と noise estimation の処理を分離 +- **WAN モデルサポート**: WAN（Wavelet-based Attention Network）モデルのサポートを追加 + +**学習機能** +- **学習ノード**: アルゴリズムサポート、勾配累積、オプションの勾配チェックポインティングを追加 +- **学習の柔軟性**: カスタムモデル学習のためのメモリ管理とパフォーマンス最適化を向上 + +**ノードとワークフローの強化** +- **Moonvalley V2V ノード**: 入力検証を強化した Moonvalley Marey V2V ノードを追加 +- **Negative Prompt の更新**: Moonvalley ノードでネガティブプロンプトの処理を改善 +- **履歴 API の強化**: get_history API に map_function パラメータを追加 + +**API とシステムの改善** +- **フロントエンドバージョン追跡**: /system_stats API レスポンスに required_frontend_version パラメータを追加 +- **デバイス情報**: ハードウェア識別を改善するため XPU デバイス名の表示を強化 +- **テンプレートの更新**: 互換性を確保するための複数のテンプレート更新 (0.1.40, 0.1.41) + +**開発者体験** +- **ドキュメントの更新**: サンプルやモデル統合ガイドを追加した README を強化 +- **行末の修正**: 改行コードを標準化してクロスプラットフォーム互換性を向上 +- **コードのクリーンアップ**: 非推奨コードを削除しコンポーネントを最適化 + + + + + +**サンプリングとトレーニングの改善** + +このリリースでは、サンプリングアルゴリズム、トレーニング機能、ノード機能が強化されています。 + +**サンプリングと生成の機能** +- **SA-Solver Sampler**: 数値安定性を向上させた、再構築されたSA-Solverサンプリングアルゴリズム +- **実験的CFGNormノード**: 生成品質をより細かく制御するための分類器無しガイダンス正規化 +- **ネストされたDual CFGサポート**: DualCFGGuiderノードにネストされたスタイル設定を追加 +- **SamplingPercentToSigmaノード**: サンプリングパーセンテージから正確なシグマ値を計算するための新しいユーティリティノード + +**トレーニング機能** +- **複数画像キャプションデータセットのサポート**: LoRAのトレーニングノードが、複数の画像キャプションデータセットを同時に処理できるようになりました +- **トレーニングループの実装**: 収束性と安定性を向上させる最適化されたトレーニングアルゴリズム +- **エラー検出**: LoRA操作のためのモデル検出エラーヒントを追加 + +**プラットフォームとパフォーマンスの改善** +- **非同期ノードサポート**: 非同期ノード関数を完全にサポートし、早期実行を最適化 +- **Chromaの柔軟性**: Chromaのpatch_sizeパラメータのハードコードを解除 +- **LTXV VAEデコーダー**: より良い画質のために改良されたデフォルトパディングモードに切り替え +- **Safetensorsメモリ管理**: mmap問題の回避策を追加 + +**APIと統合の強化** +- **カスタムプロンプトID**: APIでプロンプトIDを指定可能になり、ワークフロー追跡が改善 +- **Kling APIの最適化**: ユーザーのタイムアウトを防ぐため、ポーリングタイムアウトを延長 +- **履歴トークンのクリーンアップ**: 履歴アイテムから機密トークンを削除 +- **Python 3.9互換性**: 互換性の問題を修正し、より広範なプラットフォームサポートを確保 + +**バグ修正と安定性** +- **MaskCompositeの修正**: デスティネーションマスクが2次元の場合のエラーを解決 +- **Frescaの入出力**: Frescaモデルワークフローの入力と出力の処理を修正 +- **参照バグの修正**: Geminiノード実装における誤った参照バグを解決 +- **改行コードの標準化**: Windowsの改行コードを自動検出して除去 + +**開発者エクスペリエンス** +- **警告システム**: torchインポートの誤りに対する警告を追加し、一般的な設定問題を捕捉 +- **テンプレートの更新**: カスタムノード開発の改善のため、複数のテンプレートバージョン（0.1.36、0.1.37、0.1.39）を更新 +- **ドキュメント**: fast_fp16_accumulationのドキュメントを強化 + + + + + +**サンプリングとモデル制御の強化** + +本リリースでは、サンプリングアルゴリズムとモデル制御システムの改善が行われました： + +**サンプリング機能** +- **TCFGノード**: より細やかな生成制御のための分類器なしガイダンス制御の強化 +- **ER-SDEサンプラー**: VEからVPアルゴリズムに移行し、新しいサンプラーノードを追加 +- **スキップレイヤーガイダンス (SLG)**: 推論時の正確なレイヤーレベル制御の実装 + +**開発ツール** +- **カスタムノード管理**: 新しい`--whitelist-custom-nodes`引数が`--disable-all-custom-nodes`と組み合わせて使用可能に +- **パフォーマンス最適化**: デュアルCFGノードがCFGが1.0の場合に自動最適化されるようになりました +- **GitHub Actions統合**: 自動リリースWebhook通知 + +**画像処理の改善** +- **トランスフォームノード**: 画像操作を強化するためImageRotateノードとImageFlipノードを追加 +- **ImageColorToMaskの修正**: より正確なカラーベースマスキングのためにマスク値の返り値を修正 +- **3Dモデルサポート**: 整理を容易にするため、3Dモデルをカスタムサブフォルダにアップロード可能に + +**ガイダンスとコンディショニングの強化** +- **PerpNegガイダー**: 改良されたCFG前後の処理で更新 +- **潜像コンディショニングの修正**: マルチステップワークフローでのインデックス > 0 のコンディショニングに関する問題を解決 +- **ノイズ除去ステップ**: 複数のサンプラーにノイズ除去ステップのサポートを追加 + +**プラットフォームの安定性** +- **PyTorch互換性**: PyTorch nightlyビルドでの連続メモリ問題を修正 +- **FP8フォールバック**: FP8演算で例外が発生した場合、通常演算に自動フォールバック +- **オーディオ処理**: 非推奨のtorchaudio.save関数依存を削除 + +**モデル統合** +- **Moonvalleyノード**: Moonvalleyモデルワークフローのネイティブサポートを追加 +- **スケジューラの並び替え**: シンプルスケジューラがデフォルトで先頭に +- **テンプレート更新**: 複数のテンプレートバージョン更新 (0.1.31-0.1.35) + +**セキュリティと安全性** +- **安全な読み込み**: 安全でない方法でファイルを読み込む際に警告を追加 +- **ファイル検証**: チェックポイント読み込みの安全対策を強化 + + + + + +**モデルサポートとワークフローの信頼性向上** + +このリリースでは、モデルの互換性とワークフローの安定性が向上しました。 + +**拡張されたモデルドキュメント**: Flux Kontext と Omnigen 2 モデルのサポートドキュメントを追加 +**VAEエンコーディングの改善**: VAEエンコーディング時の不要なランダムノイズ注入を削除 +**メモリ管理の修正**: Kontextモデルの使用に影響していたメモリ推定のバグを解決 + + + + + +**モデルサポートの追加** +- **Cosmos Predict2 サポート**: テキストから画像 (2B および 14B モデル) と画像から動画の生成ワークフローの実装 +- **Flux 互換性**: Chroma Text Encoder が通常の Flux モデルで動作するようになりました +- **LoRA トレーニングの統合**: ウェイトアダプター方式を使用した新しいネイティブ LoRA トレーニングノード + +**パフォーマンスとハードウェア最適化** +- **AMD GPU の強化**: AMD GPU で FP8 演算と PyTorch アテンションを有効化 +- **Apple Silicon の修正**: Apple デバイスでの FP16 アテンションの問題に対処 +- **Flux モデルの安定性**: 特定の Flux モデルで黒い画像が生成される問題を解決 + +**サンプリングの改善** +- **Rectified Flow サンプラー**: RF サポート付きの SEEDS およびマルチステップ DPM++ SDE サンプラーを追加 +- **ModelSamplingContinuousEDM**: 強化されたサンプリング制御のための新しい cosmos_rflow オプション +- **メモリ最適化**: Cosmos モデルのメモリ推定を改善 + +**開発者と統合機能** +- **SQLite データベースサポート**: カスタムノードのデータ管理機能を強化 +- **PyProject.toml 統合**: pyproject ファイルからの Web フォルダの自動登録 +- **フロントエンドの柔軟性**: semver サフィックスとプレリリース版フロントエンドのサポート +- **トークナイザーの強化**: tokenizer_data による min_length 設定の構成可能化 + +**利便性の向上** +- **Kontext アスペクト比の修正**: ウィジェットのみの制限を解決 +- **SaveLora の一貫性**: すべての保存ノードでファイル名形式を標準化 +- **Python バージョン警告**: 古い Python インストールに対する警告を追加 +- **WebcamCapture の修正**: IS_CHANGED シグネチャを修正 + + + + + +**ワークフローツールとパフォーマンス最適化** + +このリリースでは、新しいワークフローユーティリティとパフォーマンス最適化が導入されました。 + +**ワークフローツール** +- **ImageStitchノード**: ワークフロー内で複数の画像をシームレスに連結 +- **GetImageSizeノード**: バッチ処理対応で画像の寸法を抽出 +- **Regex Replaceノード**: ワークフロー向けの高度なテキスト操作機能 + +**モデル互換性** +- **Tensor Handling**: リスト処理の合理化により、マルチモデルワークフローの信頼性が向上 +- **BFL API最適化**: Kontextモデルのサポートを改善し、ノードインターフェースがよりクリーンに +- **パフォーマンス向上**: 色処理での積和演算の融合により生成が高速化 + +**開発者エクスペリエンス** +- **カスタムノードサポート**: pyproject.toml対応を追加し、依存関係管理が向上 +- **ヘルプメニュー統合**: ノードライブラリサイドバーに新しいヘルプシステム +- **APIドキュメント**: APIノードのドキュメントを強化 + +**フロントエンドとUIの強化** +- **フロントエンドをv1.21.7に更新**: 安定性修正とパフォーマンス改善 +- **カスタムAPIベースサポート**: カスタムデプロイメント設定でのサブパス処理を改善 +- **セキュリティ強化**: XSS脆弱性の修正 + +**バグ修正と安定性** +- **Pillow互換性**: 非推奨API呼び出しを更新 +- **ROCmサポート**: AMD GPUユーザー向けのバージョン検出を改善 +- **テンプレート更新**: カスタムノード開発用のプロジェクトテンプレートを強化 + + diff --git a/ja/development/cloud/api-reference.mdx b/ja/development/cloud/api-reference.mdx index 48fbed613..30a5c2e80 100644 --- a/ja/development/cloud/api-reference.mdx +++ b/ja/development/cloud/api-reference.mdx @@ -2,7 +2,6 @@ title: "Cloud API リファレンス" description: "Comfy Cloud の完全な API リファレンスとコード例" icon: "book-open" - - "URLs in Chinese source include /zh/ prefix for internal links, English source does not. English URL structure will be preserved." translationSourceHash: 5ec787f8 translationFrom: development/cloud/api-reference.mdx --- diff --git a/ja/installation/update_comfyui.mdx b/ja/installation/update_comfyui.mdx index 44a1d03a1..cdc8f1ed1 100644 --- a/ja/installation/update_comfyui.mdx +++ b/ja/installation/update_comfyui.mdx @@ -3,7 +3,6 @@ title: "ComfyUI の更新方法" description: "このセクションでは、ComfyUI の更新に関する包括的なガイドを提供します" icon: "circle-up" sidebarTitle: "ComfyUI を更新" - - "Card href in Chinese points to \"/zh/troubleshooting/overview\" while English points to \"/troubleshooting/overview\". Keeping English path as per source." translationSourceHash: 37fe7f31 translationFrom: installation/update_comfyui.mdx --- diff --git a/ja/interface/settings/overview.mdx b/ja/interface/settings/overview.mdx index 68c57c2b5..d6f9b6f59 100644 --- a/ja/interface/settings/overview.mdx +++ b/ja/interface/settings/overview.mdx @@ -3,8 +3,6 @@ title: "ComfyUI 設定概要" description: "ComfyUI 設定概要の詳細説明" icon: "book" sidebarTitle: "概要" - - "Card title \"Lite Graph\" in EN corresponds to \"画面\" (Canvas/Screen) in ZH. Translated to \"キャンバス (Lite Graph)\" to reflect functionality while retaining technical name." - - "ZH reference URLs include locale prefix \"/zh\", while EN source does not. Preserving EN source URLs as per instructions." translationSourceHash: ba9df225 translationFrom: interface/settings/overview.mdx --- diff --git a/ja/interface/shortcuts.mdx b/ja/interface/shortcuts.mdx index be5bb4296..8b5cc149f 100644 --- a/ja/interface/shortcuts.mdx +++ b/ja/interface/shortcuts.mdx @@ -3,7 +3,6 @@ title: "ComfyUI のキーボードショートカットとカスタム設定" description: "ComfyUI のキーボードとマウスのショートカットおよび関連設定" sidebarTitle: "ショートカット" icon: "keyboard" - - "MacOS table header in EN is \"Command\", while ZH uses \"说明\" (Description)." translationSourceHash: 457d7181 translationFrom: interface/shortcuts.mdx --- diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 0dd9c31ed..b18a6228e 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -2,7 +2,7 @@ title: "価格" description: "本記事では、現在提供中のパートナーノードの価格を一覧表示します。すべての価格はクレジット単位（211クレジット = 1米ドル）で表記されています。" sidebarTitle: "価格" -mode: wide "description" +mode: wide translationSourceHash: 2cc2a271 translationFrom: tutorials/partner-nodes/pricing.mdx --- diff --git a/ja/tutorials/video/wan/wan-video.mdx b/ja/tutorials/video/wan/wan-video.mdx index 511b1246a..855d777f4 100644 --- a/ja/tutorials/video/wan/wan-video.mdx +++ b/ja/tutorials/video/wan/wan-video.mdx @@ -1,7 +1,7 @@ --- title: ComfyUI Wan2.1 動画生成のサンプル description: 「このガイドでは、ComfyUI で Wan2.1 Video を使用して動画の最初と最後のフレームを生成する方法を紹介します」 -sidebarTitle: Wan2.1 "description" +sidebarTitle: Wan2.1 translationSourceHash: b662e221 translationFrom: tutorials/video/wan/wan-video.mdx --- diff --git a/ja/tutorials/video/wan/wan2_2.mdx b/ja/tutorials/video/wan/wan2_2.mdx index c8be061c6..7fa0a321b 100644 --- a/ja/tutorials/video/wan/wan2_2.mdx +++ b/ja/tutorials/video/wan/wan2_2.mdx @@ -1,7 +1,7 @@ --- title: "Wan2.2 動画生成 ComfyUI 公式ネイティブワークフロー例" description: "ComfyUI における Alibaba Cloud Tongyi Wanxiang 2.2 動画生成モデルの公式使用ガイド" -sidebarTitle: Wan2.2 "First iframe source differs (EN: YouTube, ZH: Bilibili). Prompt guide URL differs between EN and ZH versions." +sidebarTitle: "Wan2.2" translationSourceHash: 3d509ed7 translationFrom: tutorials/video/wan/wan2_2.mdx --- diff --git a/ko/account/create-account.mdx b/ko/account/create-account.mdx new file mode 100644 index 000000000..5c6122e06 --- /dev/null +++ b/ko/account/create-account.mdx @@ -0,0 +1,54 @@ +--- +title: Comfy 계정 만들기 +sidebarTitle: 계정 만들기 +description: "ComfyUI에서 모든 기능과 서비스에 접근하려면 새 Comfy 계정을 만드는 방법을 알아보세요." +translationSourceHash: 370a9d90 +translationFrom: account/create-account.mdx +--- + +Comfy 계정은 [파트너 노드(Partner Node)](/tutorials/partner-nodes/overview) 및 [클라우드 구독](https://www.comfy.org/cloud)에 액세스할 수 있도록 해주며, 이를 통해 ComfyUI 플랫폼 전반에서 프리미엄 기능과 서비스를 이용할 수 있습니다. + +## Comfy Cloud에서 Comfy 계정 만들기 + +Comfy Cloud에서 바로 ComfyUI용 Comfy 계정을 만들 수 있습니다: + +1. [Comfy Cloud](https://www.comfy.org)로 이동하세요. +2. **가입하기** 또는 **계정 만들기**를 클릭하세요. +3. 다음 로그인 방법 중 하나를 선택하세요: + - **이메일**: 이메일 주소를 입력하고 비밀번호를 생성하세요. + - **구글**: 구글 계정으로 가입하세요. + - **깃허브**: 깃허브 계정으로 가입하세요. +4. 등록 과정을 완료하세요. +5. 이메일 등록 시 이메일 인증을 완료하세요. + +## 로컬에서 Comfy 계정 만들기 + +로컬에 ComfyUI를 설치한 경우, 애플리케이션을 통해 Comfy 계정을 만들 수 있습니다: + +1. 로컬 머신에서 ComfyUI를 열어주세요. +2. 인터페이스의 **설정**으로 이동하세요. +3. **사용자** 섹션으로 이동하세요(자세한 내용은 [사용자 설정](/interface/user) 참조). +4. **계정 만들기** 또는 **가입**을 클릭하세요. +5. 다음 로그인 방법 중 하나를 선택하세요: + - **이메일**: 이메일 주소를 입력하고 비밀번호를 생성하세요. + - **구글**: 구글 계정으로 가입하세요. + - **깃허브**: 깃허브 계정으로 가입하세요. +6. 등록 과정을 완료하세요. + +![사용자 설정 인터페이스](/images/interface/setting/user.jpg) + +## 다음 단계 + +계정이 생성되고 인증되면: +- [계정에 로그인](/account/login) +- 프로필 선호도를 설정하세요. +- ComfyUI 기능을 사용해 보세요. +- 튜토리얼과 문서를 살펴보세요. + +## 문제 해결 + +계정 생성 중 문제가 발생하면: +- 이메일 주소가 유효하고 이미 등록되지 않았는지 확인하세요. +- 비밀번호가 최소 요구 사항을 충족하는지 확인하세요. +- 브라우저 캐시를 지우고 다시 시도해 보세요. +- 문제가 계속될 경우 [지원팀](/support/contact-support)에 문의해 주세요. \ No newline at end of file diff --git a/ko/account/delete-account.mdx b/ko/account/delete-account.mdx new file mode 100644 index 000000000..3798c356e --- /dev/null +++ b/ko/account/delete-account.mdx @@ -0,0 +1,45 @@ +--- +title: Comfy 계정 삭제하기 +sidebarTitle: 계정 삭제하기 +description: "ComfyUI 및 관련 데이터에 대한 Comfy 계정을 영구적으로 삭제하는 방법을 알아보세요." +translationSourceHash: 978a79b7 +translationFrom: account/delete-account.mdx +--- + + +계정 삭제는 영구적이며, 취소할 수 없습니다. 귀하의 모든 데이터, 워크플로우 및 설정이 영구적으로 삭제됩니다. + + +## 삭제하기 전에 + +계정 삭제를 진행하기 전에 다음 사항을 고려해 주세요: + +- **데이터 백업**: Comfy Cloud 사용자의 경우, 귀하의 자산이 계정 아래에 저장되므로 보관하고 싶은 데이터를 백업해 두세요. Comfy Cloud를 사용하지 않는 경우, API 사용 내역은 https://platform.comfy.org/에서 확인할 수 있습니다. +- **구독 해지**: 활성화된 모든 구독을 해지하여 향후 요금이 청구되지 않도록 하세요. +- **청구서 다운로드**: 필요할 수 있는 결제 내역이나 청구서의 사본을 저장해 두세요. +- **대체 옵션**: 영구 삭제 대신 계정을 일시적으로 비활성화하는 것을 고려해 보세요. + +## Comfy 계정 삭제하기 + +ComfyUI용 Comfy 계정을 영구적으로 삭제하려면 [support@comfy.org](mailto:support@comfy.org)로 삭제 요청을 보내주세요. + +이메일에 다음 내용을 포함해 주세요: +- 계정과 연결된 이메일 주소 +- 명확한 계정 삭제 요청 문구(예: "제 계정과 관련된 모든 개인 데이터의 삭제를 요청합니다") + +GDPR 및 유사한 데이터 보호 규정에 따라 귀하는 개인 데이터 삭제를 요청할 권리가 있습니다. 저희는 30일 이내에 귀하의 요청을 처리하며, 계정과 데이터가 영구적으로 삭제된 후 확인서를 보내드립니다. + + +앱의 이전 버전에서는 여전히 계정 설정에 '계정 삭제' 버튼이 표시될 수 있습니다. 이 버튼은 더 이상 작동하지 않습니다. 위에서 설명한 이메일 절차를 이용해 주세요. + + +## 삭제되는 내용 + +계정을 삭제하면 다음과 같은 데이터가 영구적으로 삭제됩니다: + +- 사용자 프로필 및 계정 정보 +- 저장된 모든 워크플로우 및 프로젝트 +- 생성된 이미지 및 출력물 +- 맞춤 설정 및 환경 설정 +- 결제 내역 및 청구 정보 +- API 키 및 액세스 토큰 \ No newline at end of file diff --git a/ko/account/login.mdx b/ko/account/login.mdx new file mode 100644 index 000000000..3fb3880a0 --- /dev/null +++ b/ko/account/login.mdx @@ -0,0 +1,125 @@ +--- +title: Comfy 계정에 로그인하세요 +sidebarTitle: 로그인 +description: "ComfyUI를 사용하려면 Comfy 계정에 접속해 플랫폼의 모든 기능과 서비스를 이용하세요." +translationSourceHash: 31b0c6ca +translationFrom: account/login.mdx +--- + +import GetApiKey from '/snippets/get-api-key.mdx' + +귀하의 Comfy 계정은 [파트너 노드 (Partner Node)](/tutorials/partner-nodes/overview) 및 [클라우드 구독](https://www.comfy.org/cloud)에 접근할 수 있도록 해주며, 이를 통해 ComfyUI 플랫폼 전반에서 프리미엄 기능과 서비스를 이용하실 수 있습니다. + +## 지원되는 로그인 방법 + +ComfyUI는 다음의 로그인 방법을 지원합니다: +- **이메일**: 이메일 주소와 비밀번호로 로그인하세요 +- **구글**: 구글 계정으로 로그인하세요 +- **깃허브**: 깃허브 계정으로 로그인하세요 + +## Comfy Cloud에서 로그인하기 + +Comfy Cloud에서 ComfyUI를 위한 귀하의 Comfy 계정에 접근하려면: + +1. [Comfy Cloud](https://www.comfy.org)로 이동하세요 +2. **로그인** 또는 **가입**을 클릭하세요 +3. 원하는 로그인 방법을 선택하세요: + - **이메일**: 이메일 주소와 비밀번호를 입력한 후 **로그인**을 클릭하세요 + - **구글**: 구글 로그인 버튼을 클릭하고 인증하세요 + - **깃허브**: 깃허브 로그인 버튼을 클릭하고 인증하세요 + +## 로컬에서 로그인하기 + +로컬에 ComfyUI가 설치되어 있다면: + +1. 로컬 머신에서 ComfyUI를 실행하세요 +2. 인터페이스의 **설정** 메뉴로 이동하세요 +3. **사용자** 섹션으로 이동하세요 (자세한 내용은 [사용자 설정](/interface/user) 참조) +4. 원하는 로그인 방법을 선택하세요: + - **이메일**: 이메일 주소와 비밀번호를 입력하세요 + - **구글**: 구글 로그인 버튼을 클릭하고 인증하세요 + - **깃허브**: 깃허브 로그인 버튼을 클릭하고 인증하세요 + - **API 키**: 화이트리스트에 등록되지 않은 배포에서는 API 키를 사용하세요 (아래 참조) + +![사용자 설정 인터페이스](/images/interface/setting/user.jpg) + +### API 키로 로그인하기 + +모든 ComfyUI 배포가 당사 도메인 권한 화이트리스트에 등록된 것은 아니므로, 최근 업데이트(2025-05-10)에서 비화이트리스트 사이트를 통한 로그인을 위해 API 키 로그인 방식을 제공했습니다. 아래는 API 키로 로그인하는 단계입니다: + + + + + + + + + + 로그인 팝업에서 `Comfy API 키` 로그인을 선택하세요 + ![Comfy API 키 로그인 선택](/images/interface/setting/user/user-login-api-1.jpg) + + + + ![API 키 입력](/images/interface/setting/user/user-login-api-2.jpg) + 1. API 키를 입력하고 저장하세요 + 2. API 키가 없다면, `여기서 받기` 링크를 클릭해 https://platform.comfy.org/login으로 이동하여 로그인한 후 API 키를 발급받으세요 + + + 로그인이 성공하면 설정 메뉴에서 해당 API 키 로그인 정보를 확인할 수 있습니다 + ![로그인 완료](/images/interface/setting/user/user-api-logged.jpg) + + + + + +다음 단계에 따라 API 키를 신청하고 발급받으세요: + + + + + + ![API 키 관리](/images/interface/setting/user/user-login-api-key-5.jpg) + 사용하지 않는 API 키나 유출 위험이 있는 경우, `삭제`를 클릭해 제거함으로써 불필요한 손실을 예방할 수 있습니다 + + + ![로그아웃](/images/interface/setting/user/user-login-api-key-6.jpg) + API 키를 발급받아 공공 장소의 기기에서 로그인한 경우, 즉시 로그아웃해주세요 + + + + + + +## 비밀번호를 잊어버렸어요 + +이메일 로그인 시 비밀번호를 기억하지 못한다면: + +1. 로그인 페이지에서 **비밀번호를 잊어버렸나요?** 링크를 클릭하세요 +2. 등록된 이메일 주소를 입력하세요 +3. 이메일을 확인해 비밀번호 재설정 안내를 확인하세요 +4. 이메일에 있는 재설정 링크를 클릭하세요 +5. 새 비밀번호를 생성하세요 +6. 새 비밀번호로 로그인하세요 + +## 로그인 문제 해결하기 + +로그인에 문제가 있다면: + +- 이메일 주소가 정확한지 확인하세요 +- 비밀번호 입력 시 Caps Lock이 켜져 있지 않은지 확인하세요 +- 브라우저의 쿠키와 캐시를 삭제하세요 +- 다른 브라우저나 시크릿 모드를 사용해보세요 +- 계정 이메일이 인증되었는지 확인하세요 +- 문제가 지속된다면 [지원](/support/contact-support)팀에 문의해주세요 + +## 보안 팁 + +계정을 안전하게 유지하려면: +- 강력하고 고유한 비밀번호를 사용하세요 +- 로그인 정보를 공유하지 마세요 +- 공유 기기를 사용할 때는 로그아웃하세요 +- 정기적으로 비밀번호를 갱신하세요 \ No newline at end of file diff --git a/ko/agent-tools/cloud.mdx b/ko/agent-tools/cloud.mdx new file mode 100644 index 000000000..824cd7bf7 --- /dev/null +++ b/ko/agent-tools/cloud.mdx @@ -0,0 +1,139 @@ +--- +title: "Comfy Cloud MCP" +sidebarTitle: "Cloud MCP" +description: "Claude Code와 Claude Desktop의 Comfy Cloud를 Comfy Cloud MCP 서버를 통해 사용하세요 — 이미지, 비디오, 오디오 및 3D 생성, 모델 및 노드 검색, 워크플로우 실행 가능" +icon: "cloud" +translationSourceHash: 5ac69783 +translationFrom: agent-tools/cloud.mdx +--- + +import CloudFeature from '/snippets/cloud-feature.mdx' + + + +## 개요 + +**Comfy Cloud MCP 서버**는 [Model Context Protocol](https://modelcontextprotocol.io)을 통해 AI 에이전트를 [Comfy Cloud](https://cloud.comfy.org)에 연결합니다. 연결 후에는 이미지, 비디오, 오디오 및 3D 생성, 모델, 노드 및 템플릿 검색, ComfyUI 워크플로우 실행 등 모든 작업을 에이전트와의 채팅에서 수행할 수 있습니다. + +현재 지원되는 클라이언트는 **Claude Code**와 **Claude Desktop**이며, 이들은 **OAuth**를 통해 로그인합니다 — 한 번만 브라우저에서 로그인하면 됩니다. 더 많은 클라이언트 지원은 곧 제공될 예정입니다. + +## 설치 + +원하는 클라이언트를 선택하세요: + + + + 플러그인을 설치하세요 — 연결과 명령어가 한 번에 완료됩니다. + + + 앱에 맞춤형 커넥터를 추가한 다음 로그인하세요. + + + +### Claude Code + +**comfy-cloud** 플러그인을 설치하세요 — MCP 연결과 슬래시 명령어가 한 번에 추가됩니다. + + + + ``` + /plugin marketplace add Comfy-Org/comfy-skills + ``` + + + ``` + /plugin install comfy-cloud@comfy-skills + ``` + + + `/mcp`를 실행하고, **comfy-cloud** → **인증**을 선택하세요. 브라우저가 열려 로그인하고, 토큰은 자동으로 갱신됩니다. + + + +플러그인은 다음과 같은 슬래시 명령어를 추가합니다: + +| 명령어 | 무엇을 하는지 | +| --- | --- | +| `/comfy-cloud:generate-image` | 이미지 생성, 편집 또는 수정 | +| `/comfy-cloud:generate-video` | 비디오 생성, 편집 또는 확장 | +| `/comfy-cloud:generate-audio` | 오디오 생성 | +| `/comfy-cloud:generate-3d` | 3D 모델 생성 | +| `/comfy-cloud:remove-background` | 이미지의 배경 제거 | +| `/comfy-cloud:upscale-image` | 이미지 고해상도화 | +| `/comfy-cloud:search-models` | 사용 가능한 모델 검색 | +| `/comfy-cloud:search-nodes` | 노드 검색 | +| `/comfy-cloud:search-templates` | 사전 구축된 워크플로우 찾기 | +| `/comfy-cloud:help` | 할 수 있는 작업 보기 | + + + 서버를 직접 추가하세요 (슬래시 명령어 없음): + + ```bash + claude mcp add --transport http comfy-cloud https://cloud.comfy.org/mcp + ``` + + 그런 다음 `/mcp`를 실행하고, **comfy-cloud** → **인증**을 선택하세요. `-s user`를 추가하면 모든 프로젝트에서 사용 가능합니다. + + +### Claude Desktop + +Claude Desktop은 UI를 통해 Comfy Cloud를 **맞춤형 커넥터**로 추가한 다음 OAuth 로그인을 실행합니다. + + + + Claude Desktop에서 **맞춤 설정**을 열고, **커넥터**를 선택하세요. + + ![Claude Desktop 커넥터](/images/cloud/mcp/desktop-connectors.png) + + + **+** 버튼을 클릭한 다음, **맞춤형 커넥터 추가**를 선택하세요. + + ![맞춤형 커넥터 추가](/images/cloud/mcp/desktop-add-custom-connector.png) + + + 이름을 아무거나 지정하고 (예: *Comfy Cloud*), **원격 MCP 서버 URL**을 다음과 같이 설정하세요: + + ``` + https://cloud.comfy.org/mcp + ``` + + ![커넥터 세부 정보](/images/cloud/mcp/desktop-connector-url.png) + + + **추가**를 클릭한 다음, 알림이 뜨면 Claude Desktop을 통해 로그인하세요. 연결이 완료됩니다. + + ![Claude Desktop을 통한 로그인](/images/cloud/mcp/desktop-signin.png) + + + +### 헤드리스 / CI (API 키) + +Claude Code와 Claude Desktop은 OAuth를 사용하므로 API 키가 필요하지 않습니다. 브라우저가 없는 **헤드리스 또는 CI** 환경에서는 API 키를 사용해 인증하세요: + + + + [platform.comfy.org/profile/api-keys](https://platform.comfy.org/profile/api-keys)로 이동해 **새 API 키**를 클릭하고 복사하세요 (앞에 `comfyui-`가 붙습니다). + + + ```bash + claude mcp add --transport http comfy-cloud https://cloud.comfy.org/mcp -H "X-API-Key: comfyui-…" + ``` + + + +## FAQ + + + + 오늘은 Claude Code와 Claude Desktop이 지원되며, 모두 OAuth를 통해 로그인합니다. 더 많은 클라이언트 지원은 곧 제공될 예정입니다. + + + Claude Code와 Claude Desktop에서는 필요하지 않습니다 — OAuth를 사용합니다. API 키는 브라우저가 없는 헤드리스 또는 CI 환경에서만 필요합니다. + + + 아닙니다. 슬래시 명령어는 Claude Code 플러그인에 포함되어 있습니다. Claude Desktop은 동일한 MCP 서버에 연결되지만 (그래서 도구는 작동합니다 — 그냥 평범한 언어로 요청하세요), Claude Code 플러그인이나 슬래시 명령어는 지원되지 않습니다. + + + Claude Code에서는 `/mcp`, **comfy-cloud**를 선택하고 **인증**을 선택하세요. Claude Desktop에서는 **맞춤 설정 → 커넥터**에서 커넥터를 다시 열고 로그인을 트리거하세요. + + \ No newline at end of file diff --git a/ko/agent-tools/index.mdx b/ko/agent-tools/index.mdx new file mode 100644 index 000000000..b4ca63dbd --- /dev/null +++ b/ko/agent-tools/index.mdx @@ -0,0 +1,52 @@ +--- +title: "에이전트 도구 / MCP" +description: "AI 에이전트를 모델 컨텍스트 프로토콜(MCP)을 통해 ComfyUI와 연결하여 이미지, 비디오, 오디오 및 3D 콘텐츠 생성 가능" +sidebarTitle: "개요" +icon: "robot" +translationSourceHash: 5f22f918 +translationFrom: agent-tools/index.mdx +--- + +ComfyUI는 AI 에이전트(Claude Desktop, Claude Code, Cursor, Amp 및 기타 MCP 호환 클라이언트)가 로컬 ComfyUI 설치나 GPU 없이도 이미지, 비디오, 오디오 및 3D 콘텐츠를 생성할 수 있도록 하는 **두 개의 MCP 서버**를 제공합니다. + + + + cloud.comfy.org에서 호스팅된 MCP 서버에 연결하세요. 클라우드 GPU에서 워크플로우를 실행하고 사전 설치된 모델을 사용하며 전체 템플릿 라이브러리를 검색합니다. +

+ **클로즈드 베타** — 대기자 명단에 등록하세요. + + + Comfy Partner-Node SDK를 사용해 로컬 MCP 서버를 실행하세요. 30개 이상의 파트너 제공업체에서 통합된 generate_image, generate_video, generate_3d 및 기타 도구를 제공합니다. +

+ **대기자 명단** — 조기 액세스에 등록하세요. + + + +--- + +## 어떤 것을 사용해야 할까요? + +| | Comfy Cloud MCP | Comfy Partner MCP | +|---|---|---| +| **유형** | 원격(호스팅) | 로컬(귀하의 컴퓨터에서 실행) | +| **필요사항** | Comfy Cloud 구독 | [Comfy API 키](/ko/development/api-development/getting-an-api-key) | +| **모델** | Comfy Cloud 모델(사전 설치됨) | 30개 이상의 파트너 제공업체(BFL, Ideogram, Kling, Runway, Veo, ElevenLabs 등) | +| **워크플로우** | 전체 ComfyUI 워크플로우 실행 | 파트너 API 생성(맞춤형 워크플로우 없음) | +| **GPU** | 클라우드 GPU(로컬 GPU 필요 없음) | GPU 필요 없음(API 기반) | +| **액세스** | 클로즈드 베타(대기자 명단) | 대기자 명단 | + +--- + +## MCP란 무엇인가요? + +**모델 컨텍스트 프로토콜(MCP)**은 AI 비서가 표준화된 인터페이스를 통해 외부 도구 및 서비스와 상호작용할 수 있도록 하는 오픈 표준입니다. AI 에이전트가 모든 서비스의 맞춤형 API 형식을 알아야 하는 대신, MCP는 도구를 공통적으로 노출하는 방법을 제공합니다. + +MCP 서버를 Claude Desktop, Claude Code, Cursor 또는 Amp와 연결하면 AI 비서는 다음과 같은 작업을 수행할 수 있습니다: + +- 텍스트 설명으로 **이미지 생성** +- 텍스트 또는 이미지로 **비디오 제작** +- 텍스트 또는 이미지로 **3D 모델 생성** +- AI 모델을 사용해 **오디오 및 음악 생성** +- 작업에 적합한 도구를 찾기 위해 **모델 및 템플릿 검색** + +모든 작업은 자연어 대화를 통해 이루어지며, 직접 API 호출을 작성할 필요가 없습니다. \ No newline at end of file diff --git a/ko/agent-tools/partner-mcp.mdx b/ko/agent-tools/partner-mcp.mdx new file mode 100644 index 000000000..10b697d13 --- /dev/null +++ b/ko/agent-tools/partner-mcp.mdx @@ -0,0 +1,137 @@ +--- +title: "Comfy Partner MCP" +description: "30개 이상의 파트너 제공업체(BFL, Ideogram, Kling, Runway, Veo, Meshy, ElevenLabs 등)에 걸쳐 통합된 생성 도구를 제공하는 로컬 MCP 서버입니다." +sidebarTitle: "Partner MCP" +icon: "plug" +translationSourceHash: f3f20477 +translationFrom: agent-tools/partner-mcp.mdx +--- + + + **비공개 사전 체험 — 대기자 명단 필요.** Comfy Partner MCP 서버는 현재 비공개 사전 체험 중입니다. 기능과 API는 변경될 수 있습니다. [대기자 명단에 등록](#)하여 접근 권한을 요청하세요. + + +Comfy Partner MCP는 BFL, Ideogram, Kling, Runway, Veo, Meshy, ElevenLabs 등 **30개 이상의 파트너 제공업체**에 걸쳐 AI 에이전트에게 통합된 생성 도구를 제공하는 로컬 MCP 서버입니다. 모든 생성 유형에 대해 단일 표준 요청 형식을 사용합니다. + +**주요 특징:** +- 🎨 **6가지 생성 모달리티** — 이미지, 동영상, 3D, SVG, 오디오, 음악 +- 🔌 **30개 이상의 제공업체** 한 인터페이스로 통합 +- 💻 **로컬 서버** — 사용자의 컴퓨터에서 실행되며 Comfy API와 연결됩니다. +- 🔍 **내장된 모델 검색** 및 BM25 텍스트 검색 기능 +- 🧩 Claude Desktop, Claude Code, Amp와 **즉시 호환 가능** + +--- + +## 요구사항 + +- **Node.js 20+** +- **pnpm 10** +- **[Comfy API 키](/ko/development/api-development/getting-an-api-key)** (‘comfyui-’로 시작) — Comfy 파트너 대시보드에서 받으세요 + +--- + +## 설치 + +```bash +git clone partner-mcp +cd partner-mcp +pnpm install +pnpm build +``` + +빌드 후, MCP 서버 런처는 `packages/mcp/dist/bin.js`에 있습니다. + +--- + +## 구성 + +서버를 MCP 클라이언트 구성에 추가하세요. 같은 JSON 형식은 Claude Desktop, Claude Code, Amp에서도 동일하게 작동합니다: + +```json +{ + "mcpServers": { + "comfy-partner": { + "command": "node", + "args": ["/ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js"], + "env": { + "COMFY_API_KEY": "comfyui-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" + } + } + } +} +``` + +**클라이언트 구성 위치:** + +| 클라이언트 | 구성 파일 | +|--------|-------------| +| Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) / `%APPDATA%/Claude/claude_desktop_config.json` (Windows) | +| Claude Code | `~/.claude/mcp.json` (또는 `claude mcp add` 실행) | +| Amp | 설정 → MCP 서버, 또는 `~/.config/amp/settings.json` | + +구성 추가 후, MCP 클라이언트를 다시 시작하세요. 그러면 `comfy-partner` 서버 아래에 **10개의 도구**가 등록된 것을 확인할 수 있습니다. + +서버를 클라이언트에 연결하기 전에 정상적으로 시작되는지 확인하려면 직접 실행해 보세요—JSON-RPC 핸드셰이크 메시지를 출력하고 이후 유휴 상태가 되어야 합니다: + +```bash +COMFY_API_KEY=comfyui-... node /ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js +``` + +--- + +## 환경 변수 + +| 변수 | 필수 | 목적 | +|----------|----------|---------| +| `COMFY_API_KEY` | 예 | API 키 (`comfyui-…`). `X-API-Key` 헤더로 전송됩니다. | +| `COMFY_API_BASE_URL` | 아니요 | 프록시 호스트 재정의 (기본값은 프로덕션 Comfy API). | +| `COMFY_INLINE_LIMIT_KB` | 아니요 | 도구 결과에 이미지 바이트를 인라인으로 포함하는 최대 크기(KB). 기본값 `600`. | +| `COMFY_MCP_RESOURCE_LINKS` | 아니요 | `resource_link` 콘텐츠 블록 활성화/비활성화 강제. 기본값은 허용 목록(`claude-*`, `mcp-inspector`)입니다. | + +--- + +## 사용 가능한 도구 + +MCP 서버는 **10개의 도구**를 노출합니다. 성공적으로 설치한 후, MCP 클라이언트는 `comfy-partner` 서버 아래에 등록된 10개의 도구 모두를 표시해야 합니다. + +| 도구 | 설명 | +|------|-------------| +| `generate_image` | 정지 이미지 생성 — 텍스트-to-image, 편집 또는 업스케일링 | +| `generate_video` | 동영상 클립 생성 — 텍스트-to-video, 이미지-to-video 또는 립싱크 | +| `generate_3d` | 텍스트 또는 참조 이미지로부터 3D 메쉬(GLB/FBX/OBJ) 생성 | +| `generate_svg` | 텍스트 프롬프트로부터 SVG 벡터 일러스트레이션 생성 | +| `generate_audio` | 텍스트로부터 음성, 보이스 클론 또는 효과음 생성 | +| `generate_music` | 프롬프트로부터 악기나 보컬 음악 생성 | +| `media_upload` | 파일(이미지/동영상/오디오) 업로드 및 `media:` 참조 획득 — `generate_*` 호출에 사용 | +| `read_media` | 미디어 아트팩트를 가져와 인라인으로 렌더링 — HTTPS URL 또는 `media:…` 토큰 수락 | +| `models_explore` | 모델 탐색, 기능별 검색 및 모델의 전체 호출 형식 읽기 | +| `balance` | 현재 계정의 남은 USD 잔액 조회 | + +--- + +## 예제 프롬프트 + +설치 후, 다음을 AI 어시스턴트에서 시도해 보세요: + +``` +우주를 떠다니는 고양이 우주비행사의 포토리얼리스틱 스타일 이미지 생성 +``` + +``` +바다 위 석양의 짧은 동영상 생성 +``` + +``` +현대적인 의자의 3D 모델 생성 +``` + +``` +30초 길이의 차분하고 로파이한 분위기의 음악 생성 +``` + +--- + +## 관련 + +- [Comfy Cloud MCP](/ko/agent-tools/cloud) — Comfy Cloud 워크플로우 실행을 위한 호스팅 MCP 서버 +- [Comfy Partner Nodes CLI](/ko/comfy-cli/reference#generate-partner-nodes) — 명령줄에서 파트너 노드 사용 \ No newline at end of file diff --git a/ko/api-reference/cloud/overview.mdx b/ko/api-reference/cloud/overview.mdx new file mode 100644 index 000000000..456f92e6e --- /dev/null +++ b/ko/api-reference/cloud/overview.mdx @@ -0,0 +1,33 @@ +--- +title: "클라우드 API 개요" +translationSourceHash: 0a4aaf41 +translationFrom: api-reference/cloud/overview.mdx +--- + + + **실험적 API:** 이 API는 실험적인 것으로, 변경될 수 있습니다. 엔드포인트, 요청/응답 형식 및 동작은 사전 통지 없이 수정될 수 있습니다. + + +Comfy Cloud API는 Comfy Cloud 인프라에서 워크플로를 프로그래밍 방식으로 실행할 수 있는 접근 권한을 제공합니다. + + + **구독 필요:** API 접근 권한은 **스탠다드**, **크리에이터** 및 **프로** 요금제에서 제공됩니다. 무료 요금제에는 API 접근 권한이 포함되지 않습니다. 자세한 내용은 [가격 정책](https://www.comfy.org/cloud/pricing?utm_source=docs)을 참조하십시오. + + +## 시작하기 + +- [클라우드 API 개요](/ko/development/cloud/overview) - 소개, 인증 및 빠른 시작 가이드 +- [API 참조](/ko/development/cloud/api-reference) - 코드 예제와 함께 제공되는 완벽한 엔드포인트 문서 +- [OpenAPI 사양](/ko/development/cloud/openapi) - 기계가 읽을 수 있는 API 사양 + +## 엔드포인트 카테고리 + +| 카테고리 | 설명 | +|----------|-------------| +| 워크플로 | 실행을 위해 워크플로 제출 | +| 작업 | 작업 상태 모니터링 및 대기열 관리 | +| 자산 | 파일 업로드 및 다운로드 | +| 모델 | 사용 가능한 AI 모델 탐색 | +| 노드 | 사용 가능한 노드 정보 가져오기 | +| 사용자 | 계정 정보 및 개인 데이터 | +| 시스템 | 서버 상태 및 건강 검사 | \ No newline at end of file diff --git a/ko/built-in-nodes/APG.mdx b/ko/built-in-nodes/APG.mdx new file mode 100644 index 000000000..f5fe6358a --- /dev/null +++ b/ko/built-in-nodes/APG.mdx @@ -0,0 +1,30 @@ +--- +title: "APG - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the APG node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "APG" +icon: "circle" +mode: wide +--- +# APG (적응형 투영 안내) 노드 + +APG(Adaptive Projected Guidance) 노드는 확산 과정에서 안내가 적용되는 방식을 조정하여 샘플링 과정을 수정합니다. 조건부 출력을 기준으로 안내 벡터를 평행 성분과 직교 성분으로 분리하여, 보다 제어된 이미지 생성을 가능하게 합니다. 이 노드는 안내의 크기 조정, 크기 정규화, 그리고 확산 단계 간 부드러운 전환을 위한 모멘텀 적용을 위한 매개변수를 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 적응형 투영 안내를 적용할 확산 모델 | MODEL | 예 | - | +| `eta` | 평행 안내 벡터의 크기를 제어합니다. 설정값 1에서 기본 CFG 동작을 나타냅니다(기본값: 1.0). | FLOAT | 예 | -10.0 ~ 10.0 | +| `norm_threshold` | 안내 벡터를 이 값으로 정규화하며, 설정값 0에서는 정규화가 비활성화됩니다(기본값: 5.0). | FLOAT | 예 | 0.0 ~ 50.0 | +| `momentum` | 확산 과정 중 안내의 이동 평균을 제어하며, 설정값 0에서는 비활성화됩니다(기본값: 0.0). | FLOAT | 예 | -5.0 ~ 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 샘플링 과정에 적응형 투영 안내가 적용된 수정된 모델을 반환합니다 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/APG/ko.md) + +--- +**Source fingerprint (SHA-256):** `89e2486bf08f750f82608db93c389f0b25ce0be766f62faa8704d19bd7e41654` diff --git a/ko/built-in-nodes/ARVideoI2V.mdx b/ko/built-in-nodes/ARVideoI2V.mdx new file mode 100644 index 000000000..9055112ff --- /dev/null +++ b/ko/built-in-nodes/ARVideoI2V.mdx @@ -0,0 +1,34 @@ +--- +title: "ARVideoI2V - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ARVideoI2V node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ARVideoI2V" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 AR(자동 회귀) 비디오 모델을 위한 이미지-투-비디오 생성 설정을 준비합니다. 시작 이미지를 가져와 VAE를 사용하여 잠재 공간으로 인코딩한 후, 인코딩된 이미지를 모델 구성에 저장합니다. 이를 통해 비디오 샘플링 프로세스에서 해당 이미지를 첫 번째 프레임으로 사용할 수 있으며, 별도의 이미지-투-비디오 모델 아키텍처 없이도 생성을 효과적으로 시드할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 생성에 사용할 AR 비디오 모델입니다. | MODEL | 예 | - | +| `vae` | 시작 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델입니다. | VAE | 예 | - | +| `start_image` | 생성된 비디오의 첫 번째 프레임으로 사용될 초기 이미지입니다. | IMAGE | 예 | - | +| `width` | 생성된 비디오 프레임의 너비입니다 (기본값: 832). | INT | 예 | 16 ~ 8192 (단위: 16) | +| `height` | 생성된 비디오 프레임의 높이입니다 (기본값: 480). | INT | 예 | 16 ~ 8192 (단위: 16) | +| `length` | 생성된 비디오의 총 프레임 수입니다 (기본값: 81). | INT | 예 | 1 ~ 1024 (단위: 4) | +| `batch_size` | 단일 배치에서 생성할 비디오 시퀀스의 개수입니다 (기본값: 1). | INT | 예 | 1 ~ 64 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MODEL` | 비디오 생성을 위해 인코딩된 시작 이미지가 구성에 저장된 복제된 모델입니다. | MODEL | +| `LATENT` | 비디오 생성 프로세스에 적합한 올바른 차원을 가진 빈 잠재 텐서입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ARVideoI2V/ko.md) + +--- +**Source fingerprint (SHA-256):** `0445b279ba49fa946050cfa70d1e6b13240eaa600b99dfe63f27c3203dc4b61b` diff --git a/ko/built-in-nodes/AddNoise.mdx b/ko/built-in-nodes/AddNoise.mdx new file mode 100644 index 000000000..38dfacd0c --- /dev/null +++ b/ko/built-in-nodes/AddNoise.mdx @@ -0,0 +1,30 @@ +--- +title: "AddNoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AddNoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AddNoise" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddNoise/en.md) + +이 노드는 지정된 노이즈 생성기와 시그마 값을 사용하여 잠재 이미지에 제어된 노이즈를 추가합니다. 모델의 샘플링 시스템을 통해 입력을 처리하여 주어진 시그마 범위에 적합한 노이즈 스케일링을 적용하고, 노이즈가 적용된 새로운 잠재 표현을 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 샘플링 매개변수와 처리 함수를 포함하는 모델입니다. | MODEL | 예 | - | +| `노이즈` | 기본 노이즈 패턴을 생성하는 노이즈 생성기입니다. | NOISE | 예 | - | +| `시그마 배열` | 노이즈 스케일링 강도를 제어하는 시그마 값입니다. 비어 있는 경우 노이즈를 추가하지 않고 원본 잠재 이미지를 그대로 반환합니다. 여러 시그마가 제공되면 첫 번째 시그마와 마지막 시그마 값의 절대 차이로 노이즈 스케일이 계산됩니다. 시그마가 하나만 제공되면 해당 값이 스케일로 직접 사용됩니다. | SIGMAS | 예 | - | +| `잠재 이미지` | 노이즈가 추가될 입력 잠재 표현입니다. (0만 포함된) 빈 잠재 이미지는 처리 중에 이동되지 않습니다. | LATENT | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `LATENT` | 노이즈가 추가된 수정된 잠재 표현입니다. 출력에 NaN 또는 무한대 값이 있는 경우 안정성을 위해 0으로 변환됩니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddNoise/ko.md) + +--- +**Source fingerprint (SHA-256):** `8f387f95aeec2780d27bee5b954ad2c6cd6daa9242a1ea15697455b157bc80d5` diff --git a/ko/built-in-nodes/AddTextPrefix.mdx b/ko/built-in-nodes/AddTextPrefix.mdx new file mode 100644 index 000000000..7b8caa107 --- /dev/null +++ b/ko/built-in-nodes/AddTextPrefix.mdx @@ -0,0 +1,28 @@ +--- +title: "AddTextPrefix - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AddTextPrefix node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AddTextPrefix" +icon: "circle" +mode: wide +--- +# Add Text Prefix 노드 + +Add Text Prefix 노드는 각 입력 텍스트의 시작 부분에 지정된 문자열을 추가하여 텍스트를 수정합니다. 이 노드는 텍스트와 접두사를 입력으로 받아 결합된 결과를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `text` | 접두사가 추가될 텍스트입니다. | STRING | 예 | | +| `prefix` | 텍스트 시작 부분에 추가할 문자열입니다(기본값: ""). | STRING | 아니요 | | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `text` | 접두사가 앞에 추가된 결과 텍스트입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextPrefix/ko.md) + +--- +**Source fingerprint (SHA-256):** `7f1282b1b84ea06a96ecefdec8e9e684cb6e7d3e618250dfb6e54d01f9e9ba87` diff --git a/ko/built-in-nodes/AddTextSuffix.mdx b/ko/built-in-nodes/AddTextSuffix.mdx new file mode 100644 index 000000000..d943f6597 --- /dev/null +++ b/ko/built-in-nodes/AddTextSuffix.mdx @@ -0,0 +1,28 @@ +--- +title: "AddTextSuffix - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AddTextSuffix node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AddTextSuffix" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextSuffix/en.md) + +이 노드는 입력 텍스트 문자열의 끝에 지정된 접미사를 추가합니다. 원본 텍스트와 접미사를 입력으로 받아 결합된 결과를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `text` | 접미사가 추가될 원본 텍스트입니다. | STRING | 예 | | +| `suffix` | 텍스트에 추가할 접미사입니다(기본값: ""). | STRING | 아니요 | | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `text` | 접미사가 추가된 후의 결과 텍스트입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextSuffix/ko.md) + +--- +**Source fingerprint (SHA-256):** `5dd75a9a29709a35343ec0dce144d2eb27a6e7aef5cb0b9245329c678897a763` diff --git a/ko/built-in-nodes/AdjustBrightness.mdx b/ko/built-in-nodes/AdjustBrightness.mdx new file mode 100644 index 000000000..65e16afee --- /dev/null +++ b/ko/built-in-nodes/AdjustBrightness.mdx @@ -0,0 +1,26 @@ +--- +title: "AdjustBrightness - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AdjustBrightness node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AdjustBrightness" +icon: "circle" +mode: wide +--- +밝기 조정(Adjust Brightness) 노드는 입력 이미지의 밝기를 수정합니다. 각 픽셀 값에 지정된 계수를 곱한 후, 결과 값이 유효 범위 내에 유지되도록 클램핑(clamping)하여 작동합니다. 계수가 1.0이면 이미지가 변경되지 않고, 1.0 미만이면 어두워지며, 1.0 초과이면 밝아집니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 조정할 입력 이미지입니다. | IMAGE | 예 | - | +| `factor` | 밝기 계수입니다. 1.0 = 변경 없음, <1.0 = 어두워짐, >1.0 = 밝아짐. (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 2.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 밝기가 조정된 출력 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustBrightness/ko.md) + +--- +**Source fingerprint (SHA-256):** `c8f2fbb5fa149812a2ecd1ff9fce7bd6d29bf4c48b929e9ebc0a95c9e46ec65e` diff --git a/ko/built-in-nodes/AdjustContrast.mdx b/ko/built-in-nodes/AdjustContrast.mdx new file mode 100644 index 000000000..2659dc367 --- /dev/null +++ b/ko/built-in-nodes/AdjustContrast.mdx @@ -0,0 +1,24 @@ +--- +title: "AdjustContrast - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AdjustContrast node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AdjustContrast" +icon: "circle" +mode: wide +--- +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 대비를 조정할 입력 이미지입니다. | IMAGE | 예 | - | +| `factor` | 대비 계수입니다. 1.0 = 변경 없음, <1.0 = 대비 감소, >1.0 = 대비 증가입니다. (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 2.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 대비가 조정된 결과 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustContrast/ko.md) + +--- +**Source fingerprint (SHA-256):** `01148cdd9d951e78c712c1c3159c5562a680a5147bd4a76e33d91543d5245854` diff --git a/ko/built-in-nodes/AlignYourStepsScheduler.mdx b/ko/built-in-nodes/AlignYourStepsScheduler.mdx new file mode 100644 index 000000000..6b64d9236 --- /dev/null +++ b/ko/built-in-nodes/AlignYourStepsScheduler.mdx @@ -0,0 +1,29 @@ +--- +title: "AlignYourStepsScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AlignYourStepsScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AlignYourStepsScheduler" +icon: "circle" +mode: wide +--- +# AlignYourStepsScheduler 노드 + +AlignYourStepsScheduler 노드는 다양한 모델 유형에 기반하여 노이즈 제거 프로세스를 위한 시그마 값을 생성합니다. 샘플링 과정의 각 단계에 적합한 노이즈 레벨을 계산하고, denoise 매개변수에 따라 전체 단계 수를 조정합니다. 이를 통해 다양한 확산 모델의 특정 요구사항에 맞게 샘플링 단계를 정렬할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델 유형` | 시그마 계산에 사용할 모델 유형을 지정합니다 (기본값: "SD1") | STRING | 예 | `"SD1"`
`"SDXL"`
`"SVD"` | +| `스텝 수` | 생성할 총 샘플링 단계 수입니다 (기본값: 10) | INT | 예 | 1 ~ 10000 | +| `노이즈 제거양` | 이미지 노이즈 제거 정도를 제어합니다. 1.0은 모든 단계를 사용하고, 낮은 값은 더 적은 단계를 사용합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sigmas` | 노이즈 제거 프로세스를 위해 계산된 시그마 값을 반환합니다 | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AlignYourStepsScheduler/ko.md) + +--- +**Source fingerprint (SHA-256):** `112535f9c100ca4e13dcd733e7a371c00c203b38d77bd10beb4355ba3512ec66` diff --git a/ko/built-in-nodes/AudioAdjustVolume.mdx b/ko/built-in-nodes/AudioAdjustVolume.mdx new file mode 100644 index 000000000..0d0b60c6f --- /dev/null +++ b/ko/built-in-nodes/AudioAdjustVolume.mdx @@ -0,0 +1,26 @@ +--- +title: "AudioAdjustVolume - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AudioAdjustVolume node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AudioAdjustVolume" +icon: "circle" +mode: wide +--- +AudioAdjustVolume 노드는 데시벨(dB) 단위의 볼륨 조정을 적용하여 오디오의 음량을 수정합니다. 오디오 입력을 받아 지정된 볼륨 레벨에 따라 게인(gain) 계수를 적용하며, 양수 값은 볼륨을 높이고 음수 값은 낮춥니다. 이 노드는 원본과 동일한 샘플 레이트로 수정된 오디오를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `오디오` | 처리할 오디오 입력 | AUDIO | 예 | - | +| `volume` | 데시벨(dB) 단위의 볼륨 조정. 0 = 변경 없음, +6 = 두 배, -6 = 절반 등 (기본값: 1) | INT | 예 | -100 ~ 100 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `오디오` | 볼륨 레벨이 조정된 처리된 오디오 | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioAdjustVolume/ko.md) + +--- +**Source fingerprint (SHA-256):** `0436765680671551239f7a89b575cdfb22590fbe662bdfe5da01bd1cd5c496ed` diff --git a/ko/built-in-nodes/AudioConcat.mdx b/ko/built-in-nodes/AudioConcat.mdx new file mode 100644 index 000000000..bd4fba008 --- /dev/null +++ b/ko/built-in-nodes/AudioConcat.mdx @@ -0,0 +1,31 @@ +--- +title: "AudioConcat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AudioConcat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AudioConcat" +icon: "circle" +mode: wide +--- +다음은 요청하신 조건에 따라 번역한 결과입니다. + +--- + +AudioConcat 노드는 두 개의 오디오 입력을 결합하여 하나로 이어 붙입니다. 두 개의 오디오 입력을 받아 지정한 순서대로 연결하며, 두 번째 오디오를 첫 번째 오디오 앞이나 뒤에 배치할 수 있습니다. 이 노드는 모노 오디오를 스테레오로 변환하고 두 입력 간의 샘플 레이트를 일치시키는 방식으로 서로 다른 오디오 형식을 자동으로 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `audio1` | 연결할 첫 번째 오디오 입력입니다. | AUDIO | 예 | - | +| `audio2` | 연결할 두 번째 오디오 입력입니다. | AUDIO | 예 | - | +| `direction` | audio2를 audio1 뒤에 추가할지 앞에 추가할지 선택합니다. (기본값: "after") | COMBO | 예 | `"after"`
`"before"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `AUDIO` | 두 입력 오디오 파일이 결합된 최종 오디오입니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioConcat/ko.md) + +--- +**Source fingerprint (SHA-256):** `b54046e29761cf27bc5b1c065dac87846613afc0b5cbb296632628bf7d4527b7` diff --git a/ko/built-in-nodes/AudioEncoderEncode.mdx b/ko/built-in-nodes/AudioEncoderEncode.mdx new file mode 100644 index 000000000..1ca264050 --- /dev/null +++ b/ko/built-in-nodes/AudioEncoderEncode.mdx @@ -0,0 +1,26 @@ +--- +title: "AudioEncoderEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AudioEncoderEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AudioEncoderEncode" +icon: "circle" +mode: wide +--- +AudioEncoderEncode 노드는 오디오 인코더 모델을 사용하여 오디오 데이터를 인코딩합니다. 오디오 입력을 받아 컨디셔닝 파이프라인에서 추가 처리에 사용할 수 있는 인코딩된 표현으로 변환합니다. 이 노드는 원시 오디오 파형을 오디오 기반 머신러닝 애플리케이션에 적합한 형식으로 변환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `audio_encoder` | 오디오 입력을 처리하는 데 사용되는 오디오 인코더 모델입니다 | AUDIO_ENCODER | 필수 | - | - | +| `audio` | 파형 및 샘플 속도 정보를 포함하는 오디오 데이터입니다 | AUDIO | 필수 | - | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 오디오 인코더에 의해 생성된 인코딩된 오디오 표현입니다 | AUDIO_ENCODER_OUTPUT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderEncode/ko.md) + +--- +**Source fingerprint (SHA-256):** `8de45c157937ee95fbaef06aaefe478db7be8b16088d92720d977fe3d14eee39` diff --git a/ko/built-in-nodes/AudioEncoderLoader.mdx b/ko/built-in-nodes/AudioEncoderLoader.mdx new file mode 100644 index 000000000..e0a035a1f --- /dev/null +++ b/ko/built-in-nodes/AudioEncoderLoader.mdx @@ -0,0 +1,25 @@ +--- +title: "AudioEncoderLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AudioEncoderLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AudioEncoderLoader" +icon: "circle" +mode: wide +--- +AudioEncoderLoader 노드는 오디오 인코더 폴더에 있는 파일에서 오디오 인코더 모델을 로드합니다. 입력으로 오디오 인코더 모델의 파일 이름을 받아 로드된 모델을 반환하며, 이 모델은 워크플로우에서 오디오 처리 작업에 사용할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `audio_encoder_name` | 로드할 오디오 인코더 모델 파일을 선택합니다 | STRING | 예 | audio_encoders 폴더에 있는 사용 가능한 오디오 인코더 파일 목록 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `audio_encoder` | 로드된 오디오 인코더 모델로, 오디오 처리 워크플로우에서 사용할 준비가 되었습니다 | AUDIO_ENCODER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderLoader/ko.md) + +--- +**Source fingerprint (SHA-256):** `24cbd45198db7d950633358c29de57f56c999bc33534fabe80404528d194163c` diff --git a/ko/built-in-nodes/AudioEqualizer3Band.mdx b/ko/built-in-nodes/AudioEqualizer3Band.mdx new file mode 100644 index 000000000..f5fc80b33 --- /dev/null +++ b/ko/built-in-nodes/AudioEqualizer3Band.mdx @@ -0,0 +1,36 @@ +--- +title: "AudioEqualizer3Band - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AudioEqualizer3Band node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AudioEqualizer3Band" +icon: "circle" +mode: wide +--- +# 오디오 이퀄라이저(3밴드) + +오디오 이퀄라이저(3밴드) 노드는 오디오 파형의 저음, 중음, 고음 주파수를 조정할 수 있게 해줍니다. 저음을 위한 로우 쉘프 필터, 중음을 위한 피킹 필터, 고음을 위한 하이 쉘프 필터 등 세 개의 개별 필터를 적용합니다. 각 밴드는 게인, 주파수, 대역폭 설정으로 독립적으로 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `오디오` | 파형과 샘플 레이트를 포함하는 입력 오디오 데이터입니다. | AUDIO | 예 | - | +| `저역 게인 (dB)` | 저음(베이스) 게인입니다. 양수 값은 증폭, 음수 값은 감소시킵니다. (기본값: 0.0) | FLOAT | 아니요 | -24.0 ~ 24.0 | +| `저역 컷오프 주파수` | 로우 쉘프 필터의 차단 주파수(Hz)입니다. (기본값: 100) | INT | 아니요 | 20 ~ 500 | +| `중역 게인 (dB)` | 중음 게인입니다. 양수 값은 증폭, 음수 값은 감소시킵니다. (기본값: 0.0) | FLOAT | 아니요 | -24.0 ~ 24.0 | +| `중역 중심 주파수` | 중음 피킹 필터의 중심 주파수(Hz)입니다. (기본값: 1000) | INT | 아니요 | 200 ~ 4000 | +| `중역 Q` | 중음 피킹 필터의 Q 계수(대역폭)입니다. 값이 낮을수록 넓은 대역을, 높을수록 좁은 대역을 생성합니다. (기본값: 0.707) | FLOAT | 아니요 | 0.1 ~ 10.0 | +| `고역 게인 (dB)` | 고음(트레블) 게인입니다. 양수 값은 증폭, 음수 값은 감소시킵니다. (기본값: 0.0) | FLOAT | 아니요 | -24.0 ~ 24.0 | +| `고역 컷오프 주파수` | 하이 쉘프 필터의 차단 주파수(Hz)입니다. (기본값: 5000) | INT | 아니요 | 1000 ~ 15000 | + +**참고:** `low_gain_dB`, `mid_gain_dB`, `high_gain_dB` 매개변수는 값이 0이 아닌 경우에만 적용됩니다. 게인이 0.0으로 설정된 경우 해당 필터 단계는 건너뜁니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `오디오` | 이퀄라이제이션이 적용된 처리된 오디오 데이터로, 수정된 파형과 원본 샘플 레이트를 포함합니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEqualizer3Band/ko.md) + +--- +**Source fingerprint (SHA-256):** `7aeaec2959f1af6144e46d8e6c558a16193669846923df1db23ae9d47e5cc173` diff --git a/ko/built-in-nodes/AudioMerge.mdx b/ko/built-in-nodes/AudioMerge.mdx new file mode 100644 index 000000000..d8147369d --- /dev/null +++ b/ko/built-in-nodes/AudioMerge.mdx @@ -0,0 +1,27 @@ +--- +title: "AudioMerge - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AudioMerge node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AudioMerge" +icon: "circle" +mode: wide +--- +AudioMerge 노드는 두 개의 오디오 트랙을 파형을 오버레이하여 결합합니다. 두 오디오 입력의 샘플 속도를 자동으로 일치시키고, 병합 전에 길이를 동일하게 조정합니다. 이 노드는 오디오 신호를 결합하기 위한 여러 수학적 방법을 제공하며, 출력이 허용 가능한 볼륨 수준 내에 유지되도록 보장합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `audio1` | 병합할 첫 번째 오디오 입력 | AUDIO | 예 | - | +| `audio2` | 병합할 두 번째 오디오 입력 | AUDIO | 예 | - | +| `merge_method` | 오디오 파형을 결합하는 데 사용되는 방법입니다. | COMBO | 예 | `"add"`
`"mean"`
`"subtract"`
`"multiply"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `AUDIO` | 결합된 파형과 샘플 속도를 포함하는 병합된 오디오 출력입니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioMerge/ko.md) + +--- +**Source fingerprint (SHA-256):** `2a4a7da42835efd03cc67002e617a70c0514524a0ac0ed61d57e499c1283be95` diff --git a/ko/built-in-nodes/AutogrowNamesTestNode.mdx b/ko/built-in-nodes/AutogrowNamesTestNode.mdx new file mode 100644 index 000000000..e700fc83c --- /dev/null +++ b/ko/built-in-nodes/AutogrowNamesTestNode.mdx @@ -0,0 +1,29 @@ +--- +title: "AutogrowNamesTestNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AutogrowNamesTestNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AutogrowNamesTestNode" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowNamesTestNode/en.md) + +이 노드는 Autogrow 입력 기능을 테스트하기 위한 노드입니다. 각각 특정 이름이 지정된 동적 개수의 float 입력을 받아, 해당 값들을 쉼표로 구분된 하나의 문자열로 결합합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `autogrow` | 동적 입력 그룹입니다. "a", "b", "c" 목록에서 미리 정의된 이름을 가진 여러 개의 float 입력을 추가할 수 있습니다. 이 노드는 이러한 이름이 지정된 입력의 모든 조합을 허용합니다. | FLOAT | 예 | 해당 없음 | + +**참고:** `autogrow` 입력은 동적입니다. 워크플로우에 필요에 따라 개별 float 입력("a", "b", "c" 이름)을 추가하거나 제거할 수 있습니다. 노드는 제공된 모든 값을 처리합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 제공된 모든 float 입력의 값을 쉼표로 연결한 단일 문자열입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowNamesTestNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `33e8b2e2c369d06979415c31ef2623cff55d98ecf49137c5cafbeba7cc3b0451` diff --git a/ko/built-in-nodes/AutogrowPrefixTestNode.mdx b/ko/built-in-nodes/AutogrowPrefixTestNode.mdx new file mode 100644 index 000000000..bf6bc80ea --- /dev/null +++ b/ko/built-in-nodes/AutogrowPrefixTestNode.mdx @@ -0,0 +1,29 @@ +--- +title: "AutogrowPrefixTestNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AutogrowPrefixTestNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "AutogrowPrefixTestNode" +icon: "circle" +mode: wide +--- +# AutogrowPrefixTestNode + +AutogrowPrefixTestNode는 자동 증가 입력 기능을 테스트하기 위해 설계된 로직 노드입니다. 동적인 개수의 float 입력을 받아들이고, 해당 값들을 쉼표로 구분된 문자열로 결합한 후 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `autogrow` | 1개에서 10개 사이의 float 값을 받을 수 있는 동적 입력 그룹입니다. 그룹 내 각 입력은 FLOAT 타입이며, 최소값은 1, 최대값은 10입니다. | AUTOGROW | 예 | 1~10개 입력 | + +**참고:** `autogrow` 입력은 특수한 동적 입력입니다. 이 그룹에 최대 10개까지 여러 float 입력을 추가할 수 있습니다. 노드는 제공된 모든 값을 처리합니다. 각 개별 float 입력은 1에서 10 사이의 범위로 제한됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 모든 입력 float 값이 쉼표로 구분되어 포함된 단일 문자열입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `7ae65365f77399a2ad8358b5a1eab3f2caa39331e53dec474cdd7f2751bfff4b` diff --git a/ko/built-in-nodes/BasicGuider.mdx b/ko/built-in-nodes/BasicGuider.mdx new file mode 100644 index 000000000..161eb38e7 --- /dev/null +++ b/ko/built-in-nodes/BasicGuider.mdx @@ -0,0 +1,26 @@ +--- +title: "BasicGuider - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BasicGuider node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BasicGuider" +icon: "circle" +mode: wide +--- +BasicGuider 노드는 샘플링 과정을 위한 간단한 안내 메커니즘을 생성합니다. 모델과 컨디셔닝 데이터를 입력으로 받아 샘플링 중 생성 과정을 안내하는 데 사용할 수 있는 가이더 객체를 출력합니다. 이 노드는 제어된 생성을 위해 필요한 기본적인 안내 기능을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 안내에 사용될 모델 | MODEL | 예 | - | +| `조건` | 생성 과정을 안내하는 컨디셔닝 데이터 | CONDITIONING | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `GUIDER` | 샘플링 과정에서 생성을 안내하는 데 사용할 수 있는 가이더 객체 | GUIDER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicGuider/ko.md) + +--- +**Source fingerprint (SHA-256):** `012171caea6aacfadaabacb746be104ca783ae5ea5834cc4a67088233b835654` diff --git a/ko/built-in-nodes/BasicScheduler.mdx b/ko/built-in-nodes/BasicScheduler.mdx new file mode 100644 index 000000000..077bc5da6 --- /dev/null +++ b/ko/built-in-nodes/BasicScheduler.mdx @@ -0,0 +1,76 @@ +--- +title: "BasicScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BasicScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BasicScheduler" +icon: "circle" +mode: wide +--- +`BasicScheduler` 노드는 제공된 스케줄러, 모델 및 디노이징 매개변수를 기반으로 확산 모델에 대한 시그마 값 시퀀스를 계산하도록 설계되었습니다. 디노이즈 팩터에 따라 총 단계 수를 동적으로 조정하여 확산 과정을 미세 조정하며, 정밀한 제어가 필요한 고급 샘플링 프로세스(예: 다단계 샘플링)의 다양한 단계에 정확한 "레시피"를 제공합니다. + +## 입력 + +| 매개변수 | 비유 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | 기술적 목적 | +| --- | --- | --- | --- | --- | --- | --- | +| `모델` | **캔버스 종류**: 캔버스 재질에 따라 페인트 배합법이 다름 | MODEL | 입력 | - | - | 시그마 계산 기준을 결정하는 확산 모델 객체 | +| `스케줄러` | **혼합 기법**: 페인트 농도 변화 방식을 선택 | COMBO[STRING] | 위젯 | - | 9개 옵션 | 노이즈 감쇠 모드를 제어하는 스케줄링 알고리즘 | +| `스텝 수` | **혼합 횟수**: 20회 혼합과 50회 혼합의 정밀도 차이 | INT | 위젯 | 20 | 1-10000 | 샘플링 단계, 생성 품질 및 속도에 영향 | +| `노이즈 제거양` | **창작 강도**: 미세 조정부터 재창작까지 수준 제어 | FLOAT | 위젯 | 1.0 | 0.0-1.0 | 디노이징 강도, 부분 재페인팅 시나리오 지원 | + +### 스케줄러 유형 + +소스 코드 `comfy.samplers.SCHEDULER_NAMES`를 기반으로 다음 9가지 스케줄러를 지원합니다: + +| 스케줄러 이름 | 특징 | 사용 사례 | 노이즈 감쇠 패턴 | +| ---------------------- | ------------------- | ------------------------------- | ------------------------------- | +| **normal** | 표준 선형 | 일반적인 시나리오, 균형 잡힘 | 균일 감쇠 | +| **karras** | 부드러운 전환 | 고품질, 디테일 풍부 | 부드러운 비선형 감쇠 | +| **exponential** | 지수 감쇠 | 빠른 생성, 효율성 | 지수적 급속 감쇠 | +| **sgm_uniform** | SGM 균일 | 특정 모델 최적화 | SGM 최적화 감쇠 | +| **simple** | 단순 스케줄링 | 빠른 테스트, 기본 사용 | 단순화된 감쇠 | +| **ddim_uniform** | DDIM 균일 | DDIM 샘플링 최적화 | DDIM 특화 감쇠 | +| **beta** | 베타 분포 | 특수 분포 요구 사항 | 베타 함수 감쇠 | +| **linear_quadratic** | 선형 이차 | 복잡한 시나리오 최적화 | 이차 함수 감쇠 | +| **kl_optimal** | KL 최적 | 이론적 최적화 | KL 발산 최적화 감쇠 | + +## 출력 + +| 매개변수 | 비유 설명 | 데이터 타입 | 출력 타입 | 기술적 의미 | +| --- | --- | --- | --- | --- | +| `sigmas` | **페인트 레시피 차트**: 단계별 사용할 상세 페인트 농도 목록 | SIGMAS | 출력 | 노이즈 레벨 시퀀스, 확산 모델 디노이징 과정 안내 | + +## 노드 역할: 예술가의 색 혼합 도우미 + +여러분이 혼란스러운 페인트 혼합물(노이즈)에서 선명한 이미지를 만들어내는 예술가라고 상상해보세요. `BasicScheduler`는 여러분의 **전문 색 혼합 도우미** 역할을 하며, 일련의 정밀한 페인트 농도 레시피를 준비하는 것이 임무입니다: + +### 작업 흐름 + +- **1단계**: 90% 농도 페인트 사용 (높은 노이즈 레벨) +- **2단계**: 80% 농도 페인트 사용 +- **3단계**: 70% 농도 페인트 사용 +- **...** +- **최종 단계**: 0% 농도 사용 (깨끗한 캔버스, 노이즈 없음) + +### 색 도우미의 특별 기술 + +**다양한 혼합 방법 (스케줄러)**: + +- **"karras" 혼합 방식**: 페인트 농도가 매우 부드럽게 변화, 마치 전문 예술가의 그라데이션 기법과 같음 +- **"exponential" 혼합 방식**: 페인트 농도가 빠르게 감소, 빠른 창작에 적합 +- **"linear" 혼합 방식**: 페인트 농도가 균일하게 감소, 안정적이고 제어 용이 + +**정밀 제어 (steps)**: + +- **20회 혼합**: 빠른 그림 그리기, 효율성 우선 +- **50회 혼합**: 정밀 그림 그리기, 품질 우선 + +**창작 강도 (denoise)**: + +- **1.0 = 완전한 새 창작**: 완전히 빈 캔버스에서 시작 +- **0.5 = 절반 변환**: 원본 그림의 절반 유지, 절반 변환 +- **0.2 = 미세 조정**: 원본 그림에 미세한 조정만 수행 + +### 다른 노드와의 협업 + +`BasicScheduler` (색 도우미) → 레시피 준비 → `SamplerCustom` (예술가) → 실제 그림 그리기 → 완성된 작품 + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicScheduler/ko.md) diff --git a/ko/built-in-nodes/BatchImagesMasksLatentsNode.mdx b/ko/built-in-nodes/BatchImagesMasksLatentsNode.mdx new file mode 100644 index 000000000..8fdb3b17c --- /dev/null +++ b/ko/built-in-nodes/BatchImagesMasksLatentsNode.mdx @@ -0,0 +1,29 @@ +--- +title: "BatchImagesMasksLatentsNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BatchImagesMasksLatentsNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BatchImagesMasksLatentsNode" +icon: "circle" +mode: wide +--- +# 배치 이미지/마스크/잠재 표현 노드 + +배치 이미지/마스크/잠재 표현 노드는 동일한 유형의 여러 입력을 단일 배치로 결합합니다. 입력이 이미지, 마스크 또는 잠재 표현인지 자동으로 감지하여 적절한 배치 방법을 사용합니다. 이는 배치 입력을 허용하는 노드에서 처리할 여러 항목을 준비할 때 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `inputs` | 배치로 결합할 동적 입력 목록입니다. 1~50개 항목을 추가할 수 있습니다. 모든 항목은 동일한 유형(모두 이미지, 모두 마스크, 또는 모두 잠재 표현)이어야 합니다. | IMAGE, MASK 또는 LATENT | 예 | 1~50개 입력 | + +**참고:** 이 노드는 `inputs` 목록의 첫 번째 항목을 기준으로 데이터 유형(IMAGE, MASK 또는 LATENT)을 자동으로 결정합니다. 이후 모든 항목은 이 유형과 일치해야 합니다. 서로 다른 데이터 유형을 혼합하려고 하면 노드가 실패합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `output` | 단일 배치 출력입니다. 데이터 유형은 입력 유형(배치 IMAGE, 배치 MASK 또는 배치 LATENT)과 일치합니다. | IMAGE, MASK 또는 LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesMasksLatentsNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `6f3037bc00fd8526f42ad2d79a0f27434f58bd6dd0338a585cc707a771ac0989` diff --git a/ko/built-in-nodes/BatchImagesNode.mdx b/ko/built-in-nodes/BatchImagesNode.mdx new file mode 100644 index 000000000..2336c2d55 --- /dev/null +++ b/ko/built-in-nodes/BatchImagesNode.mdx @@ -0,0 +1,29 @@ +--- +title: "BatchImagesNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BatchImagesNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BatchImagesNode" +icon: "circle" +mode: wide +--- +# Batch Images 노드 + +Batch Images 노드는 여러 개의 개별 이미지를 하나의 배치로 결합합니다. 가변 개수의 이미지 입력을 받아 하나의 배치 이미지 텐서로 출력하여, 후속 노드에서 함께 처리할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `images` | 이미지 입력의 동적 목록입니다. 배치로 결합할 2~50개의 이미지를 추가할 수 있습니다. 노드 인터페이스에서 필요에 따라 이미지 입력 슬롯을 더 추가할 수 있습니다. | IMAGE | 예 | 2~50개 입력 | + +**참고:** 노드가 작동하려면 최소 두 개 이상의 이미지를 연결해야 합니다. 첫 번째 입력 슬롯은 항상 필수이며, 노드 인터페이스에 나타나는 "+" 버튼을 사용하여 더 추가할 수 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 모든 입력 이미지가 함께 쌓인 단일 배치 이미지 텐서입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `f756fb15760cd2518da9c3f88281d3ab3361b4c2b4820fe2be152e4db1cf102c` diff --git a/ko/built-in-nodes/BatchLatentsNode.mdx b/ko/built-in-nodes/BatchLatentsNode.mdx new file mode 100644 index 000000000..ff9152fde --- /dev/null +++ b/ko/built-in-nodes/BatchLatentsNode.mdx @@ -0,0 +1,29 @@ +--- +title: "BatchLatentsNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BatchLatentsNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BatchLatentsNode" +icon: "circle" +mode: wide +--- +**Batch Latents 노드** + +Batch Latents 노드는 여러 개의 잠재(Latent) 입력을 단일 배치로 결합합니다. 가변 개수의 잠재 샘플을 입력받아 배치 차원을 따라 병합함으로써, 이후 노드에서 함께 처리될 수 있도록 합니다. 이는 단일 작업으로 여러 이미지를 생성하거나 처리할 때 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `latents` | 단일 배치로 결합할 잠재 샘플 집합입니다. 최소 2개 이상의 잠재를 제공해야 하며, 최대 50개까지 추가할 수 있습니다. 더 많은 잠재를 연결하면 노드가 자동으로 입력 슬롯을 생성합니다. | LATENT | 예 | 2~50개 입력 | + +**참고:** 노드가 작동하려면 최소 2개의 잠재 입력을 제공해야 합니다. 최대 50개까지 잠재를 더 연결하면 노드가 자동으로 입력 슬롯을 생성합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 모든 입력 잠재가 하나의 배치로 결합된 단일 잠재 출력입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchLatentsNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `215e7e2df43e902815dd87d228e8d5e09f18f6f52002cc3e861551fc207a9896` diff --git a/ko/built-in-nodes/BatchMasksNode.mdx b/ko/built-in-nodes/BatchMasksNode.mdx new file mode 100644 index 000000000..14429f6b9 --- /dev/null +++ b/ko/built-in-nodes/BatchMasksNode.mdx @@ -0,0 +1,31 @@ +--- +title: "BatchMasksNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BatchMasksNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BatchMasksNode" +icon: "circle" +mode: wide +--- +# Batch Masks 노드 + +Batch Masks 노드는 여러 개별 마스크 입력을 하나의 배치로 결합합니다. 가변 개수의 마스크 입력을 받아 단일 배치 마스크 텐서로 출력하여, 후속 노드에서 마스크를 배치 처리할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `mask_0` | 첫 번째 마스크 입력입니다. | MASK | 예 | - | +| `mask_1` | 두 번째 마스크 입력입니다. | MASK | 예 | - | +| `mask_2` ~ `mask_49` | 추가 선택적 마스크 입력입니다. 이 노드는 최소 2개에서 최대 50개의 마스크를 입력받을 수 있습니다. | MASK | 아니요 | - | + +**참고:** 이 노드는 자동 확장 입력 템플릿을 사용합니다. 최소 두 개의 마스크(`mask_0`과 `mask_1`)를 연결해야 합니다. 최대 48개의 추가 선택적 마스크 입력(`mask_2`부터 `mask_49`까지)을 추가하여 총 50개의 마스크를 사용할 수 있습니다. 연결된 모든 마스크는 하나의 배치로 결합됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 모든 입력 마스크가 함께 쌓인 단일 배치 마스크입니다. | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchMasksNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `8eb7a2a2d8108b619387b049d92348b8e9fc6d5e94e78c856c8520b88cdf77f2` diff --git a/ko/built-in-nodes/BeebleSwitchXImageEdit.mdx b/ko/built-in-nodes/BeebleSwitchXImageEdit.mdx new file mode 100644 index 000000000..cdc19c285 --- /dev/null +++ b/ko/built-in-nodes/BeebleSwitchXImageEdit.mdx @@ -0,0 +1,37 @@ +--- +title: "BeebleSwitchXImageEdit - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BeebleSwitchXImageEdit node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BeebleSwitchXImageEdit" +icon: "circle" +mode: wide +--- +# BeebleSwitchXImageEdit + +## 개요 + +Beeble SwitchX를 사용하여 단일 이미지를 편집합니다. 이 노드는 원본 피사체의 픽셀을 보존하면서 장면의 모든 요소(배경, 조명, 의상)를 전환할 수 있습니다. 새로운 모습을 설명하기 위해 참조 이미지 및/또는 텍스트 프롬프트를 제공하세요. 최대 해상도는 약 277만 화소입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 편집할 원본 이미지입니다. | IMAGE | 예 | - | +| `prompt` | 원하는 새로운 모습에 대한 텍스트 설명입니다 (예: "반짝이는 갑옷을 입은 기사"). | STRING | 예 | - | +| `alpha_mode` | 알파 매트를 처리하는 방식입니다. "select"는 키프레임을 사용하여 피사체를 선택하고, "fill"은 별도의 매트 없이 전체 이미지를 대체하며, "custom"은 사용자가 제공한 마스크를 사용합니다. | COMBO | 예 | `"select"`
`"fill"`
`"custom"` | +| `max_resolution` | 출력 이미지의 최대 해상도입니다. 해상도가 높을수록 더 많은 크레딧이 소모됩니다. | COMBO | 예 | `"1080p"`
`"720p"` | +| `seed` | 재현성을 위한 시드 값입니다. | INT | 예 | - | +| `reference_image` | 새 장면 요소의 스타일이나 외관을 안내하는 선택적 참조 이미지입니다. | IMAGE | 아니요 | - | + +**`alpha_mode` 참고 사항:** `alpha_mode`가 `"select"`로 설정된 경우 `alpha_keyframe`(피사체 선택에 사용되는 키프레임 이미지)도 함께 제공해야 합니다. `"custom"`으로 설정된 경우 `alpha_mask`(사용자가 생성한 마스크)를 제공해야 합니다. `"fill"`로 설정된 경우 알파 입력이 필요하지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `alpha` | 장면 요소가 전환된 편집된 이미지입니다. | IMAGE | +| `alpha` | Beeble에서 사용하는 알파 매트입니다. "fill" 모드에서는 별도의 매트가 없으므로 비어 있습니다. | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/ko.md) + +--- +**Source fingerprint (SHA-256):** `41f23435686626e3ade28708fcb1da192ded347b210080ee9b17834ea8b727fb` diff --git a/ko/built-in-nodes/BeebleSwitchXVideoEdit.mdx b/ko/built-in-nodes/BeebleSwitchXVideoEdit.mdx new file mode 100644 index 000000000..e8176e771 --- /dev/null +++ b/ko/built-in-nodes/BeebleSwitchXVideoEdit.mdx @@ -0,0 +1,43 @@ +--- +title: "BeebleSwitchXVideoEdit - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BeebleSwitchXVideoEdit node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BeebleSwitchXVideoEdit" +icon: "circle" +mode: wide +--- +# Beeble SwitchX 비디오 편집 + +Beeble SwitchX로 비디오를 편집합니다. 이 노드는 원본 피사체의 픽셀과 움직임을 유지하면서 장면의 모든 요소(배경, 조명, 의상)를 전환할 수 있습니다. 새로운 모습을 설명하는 참조 이미지 및/또는 텍스트 프롬프트를 제공하세요. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `video` | 편집할 입력 비디오입니다. 최대 240프레임, 프레임당 최대 약 277만 화소입니다. | VIDEO | 예 | 해당 없음 | +| `prompt` | 장면에 원하는 새로운 모습에 대한 텍스트 설명입니다. | STRING | 예 | 해당 없음 | +| `alpha_mode` | 알파 매트 모드입니다. "fill" 모드는 별도의 매트 없이 전체 프레임을 채웁니다. "select" 모드는 단일 키프레임 이미지를 사용하여 편집할 영역을 정의합니다. "custom" 모드는 전체 알파 비디오를 사용하여 프레임별로 편집할 영역을 정의합니다. | COMBO | 예 | `"fill"`
`"select"`
`"custom"` | +| `max_resolution` | 출력 비디오의 최대 해상도입니다(기본값: "1080p"). | COMBO | 예 | `"720p"`
`"1080p"` | +| `seed` | 재현성을 위한 시드 값입니다. 동일한 입력에 동일한 시드를 사용하면 동일한 결과가 생성됩니다. | INT | 예 | 0 ~ 2147483647 | +| `reference_image` | 장면에 원하는 새로운 모습을 설명하는 선택적 참조 이미지입니다. | IMAGE | 아니요 | 해당 없음 | + +### 알파 모드 상세 설명 + +`alpha_mode` 매개변수는 비디오의 어떤 부분이 편집될지를 제어합니다: + +- **fill**: 전체 비디오 프레임이 편집됩니다. 별도의 알파 매트가 생성되지 않습니다. +- **select**: 편집할 영역을 정의하는 단일 키프레임 이미지를 제공합니다. 노드는 이를 사용하여 비디오의 어떤 부분을 변경할지 결정합니다. +- **custom**: 프레임별로 편집할 영역을 정의하는 전체 알파 비디오를 제공합니다. 이를 통해 각 프레임의 어떤 부분을 편집할지 정밀하게 제어할 수 있습니다. + +`select` 모드를 사용할 때는 `alpha_keyframe` 이미지를 반드시 제공해야 합니다. `custom` 모드를 사용할 때는 `alpha_mask` 비디오를 반드시 제공해야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `alpha` | 장면 변경이 적용된 편집된 비디오입니다. | VIDEO | +| `alpha` | Beeble에서 사용한 알파 매트입니다. "fill" 모드에서는 별도의 매트가 없으므로 비어 있습니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXVideoEdit/ko.md) + +--- +**Source fingerprint (SHA-256):** `e2d67b037863f024f42c97943ec0d2daf32b547b232a7dfedd6de398f4b7ba28` diff --git a/ko/built-in-nodes/BetaSamplingScheduler.mdx b/ko/built-in-nodes/BetaSamplingScheduler.mdx new file mode 100644 index 000000000..b68c40edb --- /dev/null +++ b/ko/built-in-nodes/BetaSamplingScheduler.mdx @@ -0,0 +1,28 @@ +--- +title: "BetaSamplingScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BetaSamplingScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BetaSamplingScheduler" +icon: "circle" +mode: wide +--- +BetaSamplingScheduler 노드는 베타 스케줄링 알고리즘을 사용하여 샘플링 프로세스에 필요한 노이즈 레벨(시그마) 시퀀스를 생성합니다. 모델과 구성 매개변수를 입력받아 이미지 생성 중 디노이징 과정을 제어하는 맞춤형 노이즈 스케줄을 만듭니다. 이 스케줄러는 알파 및 베타 매개변수를 통해 노이즈 감소 궤적을 세밀하게 조정할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 샘플링에 사용되는 모델로, 모델 샘플링 객체를 제공합니다 | MODEL | 예 | - | +| `스텝 수` | 시그마를 생성할 샘플링 단계 수입니다 (기본값: 20) | INT | 예 | 1 ~ 10000 | +| `알파` | 베타 스케줄러의 알파 매개변수로, 스케줄링 곡선을 제어합니다 (기본값: 0.6) | FLOAT | 예 | 0.0 ~ 50.0 | +| `베타` | 베타 스케줄러의 베타 매개변수로, 스케줄링 곡선을 제어합니다 (기본값: 0.6) | FLOAT | 예 | 0.0 ~ 50.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `SIGMAS` | 샘플링 프로세스에 사용되는 노이즈 레벨(시그마) 시퀀스입니다 | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BetaSamplingScheduler/ko.md) + +--- +**Source fingerprint (SHA-256):** `8b3d17ef737107da3d5cacc84278de8a93f6889e6567619012729b205bbc421e` diff --git a/ko/built-in-nodes/BriaImageEditNode.mdx b/ko/built-in-nodes/BriaImageEditNode.mdx new file mode 100644 index 000000000..b0ed0895c --- /dev/null +++ b/ko/built-in-nodes/BriaImageEditNode.mdx @@ -0,0 +1,43 @@ +--- +title: "BriaImageEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaImageEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BriaImageEditNode" +icon: "circle" +mode: wide +--- +# Bria FIBO 이미지 편집 노드 + +Bria FIBO 이미지 편집 노드를 사용하면 텍스트 명령어를 통해 기존 이미지를 수정할 수 있습니다. 이 노드는 이미지와 프롬프트를 Bria API로 전송하며, API는 FIBO 모델을 사용하여 요청에 기반한 새로운 편집 버전의 이미지를 생성합니다. 또한 마스크를 제공하여 편집을 특정 영역으로 제한할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 이미지 편집에 사용할 모델 버전입니다. | COMBO | 예 | `"FIBO"` | +| `image` | 편집하려는 입력 이미지입니다. | IMAGE | 예 | - | +| `프롬프트` | 이미지를 어떻게 편집할지 설명하는 텍스트 명령어입니다(기본값: 비어 있음). | STRING | 아니요 | - | +| `네거티브 프롬프트` | 편집된 이미지에 나타나지 않길 원하는 내용을 설명하는 텍스트입니다(기본값: 비어 있음). | STRING | 아니요 | - | +| `구조화된 프롬프트` | JSON 형식의 구조화된 편집 프롬프트가 포함된 문자열입니다. 정밀하고 프로그래매틱한 제어를 위해 일반 프롬프트 대신 사용합니다(기본값: 비어 있음). | STRING | 아니요 | - | +| `시드` | 무작위 생성을 초기화하는 숫자로, 재현 가능한 결과를 보장합니다(기본값: 1). | INT | 예 | 1 ~ 2147483647 | +| `가이던스 스케일` | 생성된 이미지가 프롬프트를 얼마나 밀접하게 따를지 제어합니다. 값이 높을수록 더 강하게 준수합니다(기본값: 3.0). | FLOAT | 예 | 3.0 ~ 5.0 | +| `스텝` | 모델이 수행할 노이즈 제거 단계 수입니다(기본값: 50). | INT | 예 | 20 ~ 50 | +| `모더레이션` | 콘텐츠 검열을 활성화 또는 비활성화합니다. `"true"`를 선택하면 프롬프트 콘텐츠, 시각적 입력, 시각적 출력에 대한 추가 검열 옵션이 표시됩니다. | DYNAMICCOMBO | 예 | `"false"`
`"true"` | +| `마스크` | 선택적 마스크 이미지입니다. 제공된 경우 편집은 이미지의 마스크된 영역에만 적용됩니다. | MASK | 아니요 | - | + +**중요 제약 사항:** + +* `prompt` 또는 `structured_prompt` 입력 중 하나는 반드시 제공해야 합니다. 둘 다 비어 있을 수 없습니다. +* 정확히 하나의 입력 `image`가 필요합니다. +* `moderation` 매개변수가 `"true"`로 설정되면 세 가지 추가 불리언 입력이 활성화됩니다: `prompt_content_moderation`(기본값: false), `visual_input_moderation`(기본값: false), `visual_output_moderation`(기본값: true). + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `구조화된 프롬프트` | Bria API가 반환한 편집된 이미지입니다. | IMAGE | +| `구조화된 프롬프트` | 편집 과정에서 사용되거나 생성된 구조화된 프롬프트입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaImageEditNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `30148261f43f5bfd14339f5ff1ec250381a615cc05c67eee21b0a2423ebe349d` diff --git a/ko/built-in-nodes/BriaRemoveImageBackground.mdx b/ko/built-in-nodes/BriaRemoveImageBackground.mdx new file mode 100644 index 000000000..e05e5eddd --- /dev/null +++ b/ko/built-in-nodes/BriaRemoveImageBackground.mdx @@ -0,0 +1,33 @@ +--- +title: "BriaRemoveImageBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaRemoveImageBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BriaRemoveImageBackground" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md) + +이 노드는 Bria RMBG 2.0 서비스를 사용하여 이미지에서 배경을 제거합니다. 이미지를 외부 API로 전송하여 처리한 후 배경이 제거된 결과를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 배경을 제거할 입력 이미지입니다. | IMAGE | 예 | - | +| `moderation` | 검열 설정입니다. `"true"`로 설정하면 추가 검열 옵션을 사용할 수 있습니다. | COMBO | 아니요 | `"false"`
`"true"` | +| `visual_input_moderation` | 입력 이미지에 대한 시각적 콘텐츠 검열을 활성화합니다. 이 매개변수는 `moderation`이 `"true"`로 설정된 경우에만 사용할 수 있습니다. 기본값: `False`. | BOOLEAN | 아니요 | - | +| `visual_output_moderation` | 출력 이미지에 대한 시각적 콘텐츠 검열을 활성화합니다. 이 매개변수는 `moderation`이 `"true"`로 설정된 경우에만 사용할 수 있습니다. 기본값: `True`. | BOOLEAN | 아니요 | - | +| `seed` | 노드를 다시 실행할지 여부를 제어하는 시드 값입니다. 시드 값과 관계없이 결과는 비결정적입니다. 기본값: `0`. | INT | 아니요 | 0 ~ 2147483647 | + +**참고:** `visual_input_moderation` 및 `visual_output_moderation` 매개변수는 `moderation` 매개변수에 종속됩니다. 이 매개변수들은 `moderation`이 `"true"`로 설정된 경우에만 활성화되며 필요합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 배경이 제거된 처리된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveImageBackground/ko.md) + +--- +**Source fingerprint (SHA-256):** `2b2dd3ca0d026af1a2bf3f7222165928527b05b65817073b50230ff18d39bc6c` diff --git a/ko/built-in-nodes/BriaRemoveVideoBackground.mdx b/ko/built-in-nodes/BriaRemoveVideoBackground.mdx new file mode 100644 index 000000000..57631ce2c --- /dev/null +++ b/ko/built-in-nodes/BriaRemoveVideoBackground.mdx @@ -0,0 +1,31 @@ +--- +title: "BriaRemoveVideoBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaRemoveVideoBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BriaRemoveVideoBackground" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md) + +이 노드는 Bria AI 서비스를 사용하여 비디오에서 배경을 제거합니다. 입력 비디오를 처리하고 원본 배경을 선택한 단색으로 대체합니다. 작업은 외부 API를 통해 수행되며, 결과는 새 비디오 파일로 반환됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `video` | 배경이 제거될 입력 비디오 파일입니다. | VIDEO | 예 | 해당 없음 | +| `background_color` | 출력 비디오의 새 배경으로 사용할 단색입니다. | STRING | 예 | `"Black"`
`"White"`
`"Gray"`
`"Red"`
`"Green"`
`"Blue"`
`"Yellow"`
`"Cyan"`
`"Magenta"`
`"Orange"` | +| `seed` | 노드 재실행 여부를 제어하는 시드 값입니다. 시드 값과 관계없이 결과는 비결정적입니다. (기본값: 0) | INT | 아니요 | 0 ~ 2147483647 | + +**참고:** 입력 비디오의 길이는 60초 이하여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 배경이 제거되고 선택한 색상으로 대체된 처리된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/ko.md) + +--- +**Source fingerprint (SHA-256):** `51499fc006d3fd3fd45f8aad686d92537d399255b3a583fd54b77c5a0698a068` diff --git a/ko/built-in-nodes/BriaTransparentVideoBackground.mdx b/ko/built-in-nodes/BriaTransparentVideoBackground.mdx new file mode 100644 index 000000000..0bc90a839 --- /dev/null +++ b/ko/built-in-nodes/BriaTransparentVideoBackground.mdx @@ -0,0 +1,29 @@ +--- +title: "BriaTransparentVideoBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaTransparentVideoBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BriaTransparentVideoBackground" +icon: "circle" +mode: wide +--- +# Bria 비디오 배경 제거 (투명) + +이 노드는 Bria의 AI 서비스를 사용하여 비디오에서 배경을 제거하고, 컷아웃된 프레임과 알파 마스크를 출력합니다. 두 출력을 합성 노드에 연결하거나, Save WEBM 노드에 전달하여 투명 비디오를 작성하십시오. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `video` | 처리할 입력 비디오 | VIDEO | 예 | - | +| `seed` | 시드는 노드를 다시 실행할지 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다(기본값: 0) | INT | 예 | 0 ~ 2147483647 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `mask` | 배경이 제거된 비디오 프레임 | IMAGE | +| `mask` | 비디오 프레임의 알파 마스크 | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaTransparentVideoBackground/ko.md) + +--- +**Source fingerprint (SHA-256):** `45fb3fc185b5c6420d6ac2b87f2403566e1ef6dcdc57791fb833b6ccb2a64cd9` diff --git a/ko/built-in-nodes/BriaVideoGreenScreen.mdx b/ko/built-in-nodes/BriaVideoGreenScreen.mdx new file mode 100644 index 000000000..5d8412124 --- /dev/null +++ b/ko/built-in-nodes/BriaVideoGreenScreen.mdx @@ -0,0 +1,31 @@ +--- +title: "BriaVideoGreenScreen - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaVideoGreenScreen node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BriaVideoGreenScreen" +icon: "circle" +mode: wide +--- +# Bria 비디오 그린 스크린 + +이 노드는 Bria API를 사용하여 비디오의 배경을 단색 크로마키 화면으로 대체합니다. 입력 비디오를 처리하여 원본 배경이 제거되고 균일한 녹색 또는 파란색 화면 색상으로 대체된 새 비디오를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `video` | 처리할 입력 비디오 | VIDEO | 예 | 비디오 파일 | +| `green_shade` | 전경 뒤에 적용되는 단색 크로마키 색상: broadcast_green (#00B140), chroma_green (#00FF00) 또는 blue_screen (#0000FF) | STRING | 예 | `"broadcast_green"`
`"chroma_green"`
`"blue_screen"` | +| `seed` | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다(기본값: 0) | INT | 예 | 0 ~ 2147483647 | + +**참고:** 입력 비디오의 길이는 60초를 초과할 수 없습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +|-------------|-------------|-----------| +| `video` | 원본 배경이 선택한 크로마키 색상으로 대체된 처리된 비디오 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaVideoGreenScreen/ko.md) + +--- +**Source fingerprint (SHA-256):** `663b41bf51bd8d871a59e756f226e4bf6244bb616ebcd2e8ccfa426137f2a05b` diff --git a/ko/built-in-nodes/BriaVideoReplaceBackground.mdx b/ko/built-in-nodes/BriaVideoReplaceBackground.mdx new file mode 100644 index 000000000..62e1eb3c9 --- /dev/null +++ b/ko/built-in-nodes/BriaVideoReplaceBackground.mdx @@ -0,0 +1,32 @@ +--- +title: "BriaVideoReplaceBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaVideoReplaceBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BriaVideoReplaceBackground" +icon: "circle" +mode: wide +--- +# Bria 비디오 배경 교체 + +이 노드는 Bria의 API를 사용하여 비디오의 배경을 제공된 이미지 또는 비디오로 교체합니다. 출력물은 전경 비디오의 해상도와 프레임 속도를 유지하며, 종횡비가 다른 배경은 맞춰지기 위해 늘어나므로 종횡비를 일치시키면 왜곡 없는 결과를 얻을 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `video` | 배경이 교체되는 전경 비디오입니다. | VIDEO | 예 | - | +| `background_image` | 전경 뒤에 합성할 배경 이미지입니다. 배경 이미지 또는 배경 비디오 중 하나만 제공하십시오. | IMAGE | 아니요 | - | +| `background_video` | 전경 뒤에 합성할 배경 비디오입니다. 배경 이미지 또는 배경 비디오 중 하나만 제공하십시오. | VIDEO | 아니요 | - | +| `seed` | 시드는 노드 재실행 여부를 제어하며, 시드와 관계없이 결과는 비결정적입니다. (기본값: 0) | INT | 예 | 0 ~ 2147483647 | + +**참고:** `background_image` 또는 `background_video` 중 정확히 하나만 제공해야 하며, 둘 다 제공하거나 둘 다 제공하지 않아서는 안 됩니다. 전경 비디오는 60초 이하여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +|-------------|-------------|-----------| +| `video` | 배경이 교체된 결과 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaVideoReplaceBackground/ko.md) + +--- +**Source fingerprint (SHA-256):** `4eb9650e5ca88baf2a91a9309b87936b3d18b88e314a56ab4c73d06a9143c645` diff --git a/ko/built-in-nodes/ByteDance2FirstLastFrameNode.mdx b/ko/built-in-nodes/ByteDance2FirstLastFrameNode.mdx new file mode 100644 index 000000000..aba62f23b --- /dev/null +++ b/ko/built-in-nodes/ByteDance2FirstLastFrameNode.mdx @@ -0,0 +1,38 @@ +--- +title: "ByteDance2FirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDance2FirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDance2FirstLastFrameNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/en.md) + +이 노드는 ByteDance의 Seedance 2.0 모델을 사용하여 비디오를 생성합니다. 텍스트 프롬프트와 필수 첫 번째 프레임 이미지를 기반으로 비디오를 만듭니다. 선택적으로 마지막 프레임 이미지를 제공하여 비디오 시퀀스의 종료를 안내할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 모델입니다. Seedance 2.0은 최고 품질을 위한 모델이며, Seedance 2.0 Fast는 속도에 최적화된 모델입니다. 모델을 선택하면 `prompt`, `resolution`, `ratio`, `duration`, `generate_audio`에 대한 추가 입력이 표시됩니다. | COMBO | 예 | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | +| `first_frame` | 비디오의 첫 번째 프레임으로 사용할 이미지입니다. | IMAGE | 아니요 | - | +| `last_frame` | 비디오의 마지막 프레임으로 사용할 이미지입니다. | IMAGE | 아니요 | - | +| `first_frame_asset_id` | 첫 번째 프레임으로 사용할 Seedance asset_id입니다. `first_frame` 이미지 입력과 동시에 사용할 수 없습니다. 기본값은 빈 문자열입니다. | STRING | 아니요 | - | +| `last_frame_asset_id` | 마지막 프레임으로 사용할 Seedance asset_id입니다. `last_frame` 이미지 입력과 동시에 사용할 수 없습니다. 기본값은 빈 문자열입니다. | STRING | 아니요 | - | +| `seed` | 시드 값입니다. 이 시드를 변경하면 노드가 다시 실행되지만 결과는 비결정적입니다. 기본값은 0입니다. | INT | 아니요 | 0 ~ 2147483647 | +| `watermark` | 생성된 비디오에 워터마크를 추가할지 여부입니다. 기본값은 False입니다. | BOOLEAN | 아니요 | - | + +**매개변수 제약 조건:** +* `first_frame` 이미지 **또는** `first_frame_asset_id` 중 **하나**를 반드시 제공해야 합니다. 둘 다 제공하면 오류가 발생합니다. +* 동일한 프레임에 대해 `last_frame` 이미지와 `last_frame_asset_id`를 모두 제공할 수 없습니다. +* `model` 입력은 동적 콤보입니다. 모델을 선택한 후에는 표시된 `prompt` 필드(텍스트 설명)를 반드시 입력하고 다른 표시된 매개변수(`resolution`, `ratio`, `duration`, `generate_audio`)를 구성해야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `2c9c1fe8fddd0c3e1c356d2b93a06a07f83db8f7a0380e94629a91ce1ff1e29a` diff --git a/ko/built-in-nodes/ByteDance2ReferenceNode.mdx b/ko/built-in-nodes/ByteDance2ReferenceNode.mdx new file mode 100644 index 000000000..3e06e6da3 --- /dev/null +++ b/ko/built-in-nodes/ByteDance2ReferenceNode.mdx @@ -0,0 +1,37 @@ +--- +title: "ByteDance2ReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDance2ReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDance2ReferenceNode" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/en.md) + +ByteDance Seedance 2.0 참조 영상 노드는 Seedance 2.0 AI 모델을 사용하여 텍스트 프롬프트와 제공된 참조 자료를 기반으로 영상을 생성, 편집 또는 확장합니다. 이미지, 영상 및 오디오를 참조로 사용하여 생성 과정을 안내할 수 있으며, 영상 편집 및 확장과 같은 작업을 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 사용할 AI 모델입니다. Seedance 2.0은 최대 품질을 위한 모델이며, Seedance 2.0 Fast는 속도에 최적화된 모델입니다. 모델을 선택하면 `prompt`, `resolution`, `duration`, `ratio`, `generate_audio`에 대한 추가 필수 입력과 `reference_images`, `reference_videos`, `reference_audios`, `reference_assets`, `auto_downscale`에 대한 선택적 입력이 표시됩니다. | COMBO | 예 | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | +| `seed` | 노드를 다시 실행할지 여부를 제어하는 데 사용되는 숫자입니다. 시드 값과 관계없이 결과는 비결정적입니다(기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | +| `watermark` | 생성된 영상에 워터마크를 추가할지 여부입니다(기본값: False). | BOOLEAN | 아니요 | `True` / `False` | + +**중요 제약 사항:** +* 노드가 작동하려면 `reference_images`, `reference_videos` 또는 `reference_assets` 입력을 통해 제공되는 참조 이미지 또는 영상이 하나 이상 필요합니다. +* 총 최대 9개의 참조 이미지를 사용할 수 있습니다(`reference_images` 및 `reference_assets`의 이미지 포함). +* 총 최대 3개의 참조 영상을 사용할 수 있습니다(`reference_videos` 및 `reference_assets`의 영상 포함). +* 총 최대 3개의 참조 오디오 클립을 사용할 수 있습니다(`reference_audios` 및 `reference_assets`의 오디오 포함). +* 각 참조 영상의 길이는 최소 1.8초 이상이어야 합니다. 모든 참조 영상의 총 길이는 15.1초를 초과할 수 없습니다. +* 각 참조 오디오 클립의 길이는 최소 1.8초 이상이어야 합니다. 모든 참조 오디오의 총 길이는 15.1초를 초과할 수 없습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `video` | 생성된 영상 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `72c8a2f821b9fb9853a4d0428785c432d0852ae562080292817f8a7d52967c7f` diff --git a/ko/built-in-nodes/ByteDance2TextToVideoNode.mdx b/ko/built-in-nodes/ByteDance2TextToVideoNode.mdx new file mode 100644 index 000000000..50289ba8d --- /dev/null +++ b/ko/built-in-nodes/ByteDance2TextToVideoNode.mdx @@ -0,0 +1,31 @@ +--- +title: "ByteDance2TextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDance2TextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDance2TextToVideoNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md) + +이 노드는 ByteDance의 Seedance 2.0 API를 사용하여 텍스트 설명으로부터 비디오를 생성합니다. 선택한 모델에 프롬프트를 전송하고, 비디오가 처리될 때까지 대기한 후 최종 결과를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 모델입니다. 모델을 선택하면 프롬프트, 해상도, 화면 비율, 지속 시간 및 오디오 생성에 필요한 추가 입력 항목이 표시됩니다. "Seedance 2.0"은 최고 품질을 위한 모델이고, "Seedance 2.0 Fast"는 속도 최적화를 위한 모델입니다. | COMBO | 예 | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | +| `seed` | 시드 값입니다(기본값: 0). 이 값이 변경되면 노드가 다시 실행되지만, 시드와 관계없이 결과는 비결정적입니다. | INT | 아니요 | 0 ~ 2147483647 | +| `watermark` | 비디오에 워터마크를 추가할지 여부입니다(기본값: False). 고급 설정입니다. | BOOLEAN | 아니요 | True / False | + +**참고:** `model` 매개변수는 동적 콤보 상자입니다. 모델을 선택하면 텍스트 프롬프트, 해상도, 화면 비율, 지속 시간 및 오디오 생성 여부를 포함한 여러 필수 하위 매개변수가 표시되며, 이를 모두 입력해야 합니다. 프롬프트 텍스트는 공백을 제거한 후 최소 1자 이상이어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `video` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `f8552e47667ff4b1ad3c8c1c074d70bdc45227b79b026b4b3c06986443655473` diff --git a/ko/built-in-nodes/ByteDanceCreateImageAsset.mdx b/ko/built-in-nodes/ByteDanceCreateImageAsset.mdx new file mode 100644 index 000000000..9204e1c49 --- /dev/null +++ b/ko/built-in-nodes/ByteDanceCreateImageAsset.mdx @@ -0,0 +1,34 @@ +--- +title: "ByteDanceCreateImageAsset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceCreateImageAsset node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceCreateImageAsset" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/en.md) + +이 노드는 ByteDance Seedance 2.0 서비스를 위한 개인 이미지 자산을 생성합니다. 입력 이미지를 업로드하고 지정된 자산 그룹에 등록합니다. 그룹 ID가 제공되지 않으면, 자산을 추가하기 전에 브라우저에서 실물 인증 절차를 시작하여 새 그룹을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 개인 자산으로 등록할 이미지입니다. | IMAGE | 예 | | +| `group_id` | 동일 인물에 대한 반복적인 본인 확인을 생략하려면 기존 Seedance 자산 그룹 ID를 재사용합니다. 브라우저에서 실물 인증을 실행하고 새 그룹을 생성하려면 비워 둡니다(기본값: 비어 있음). | STRING | 아니요 | | + +**이미지 제약 조건:** +* 이미지 너비는 300픽셀 이상 6000픽셀 이하여야 합니다. +* 이미지 높이는 300픽셀 이상 6000픽셀 이하여야 합니다. +* 이미지 종횡비는 0.4:1에서 2.5:1 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `group_id` | 새로 생성된 이미지 자산의 고유 식별자입니다. | STRING | +| `group_id` | 자산 그룹의 식별자입니다. 제공된 `group_id` 또는 새로 생성된 그룹 ID가 됩니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/ko.md) + +--- +**Source fingerprint (SHA-256):** `b8b7b4cbbc16a8bb0102982757496ad4e8140bd87155902668c0be0d8b4d3d98` diff --git a/ko/built-in-nodes/ByteDanceCreateVideoAsset.mdx b/ko/built-in-nodes/ByteDanceCreateVideoAsset.mdx new file mode 100644 index 000000000..6c3e457a3 --- /dev/null +++ b/ko/built-in-nodes/ByteDanceCreateVideoAsset.mdx @@ -0,0 +1,36 @@ +--- +title: "ByteDanceCreateVideoAsset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceCreateVideoAsset node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceCreateVideoAsset" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/en.md) + +이 노드는 Seedance 2.0용 개인 비디오 자산을 생성합니다. 입력 비디오를 업로드하고 지정된 자산 그룹에 등록합니다. 그룹 ID를 제공하지 않으면 브라우저에서 실물 인증 절차를 안내하여 먼저 새 그룹을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `video` | 개인 자산으로 등록할 비디오입니다. | VIDEO | 예 | - | +| `group_id` | 기존 Seedance 자산 그룹 ID를 재사용하여 동일 인물에 대한 반복적인 실물 인증을 건너뜁니다. 비워두면 브라우저에서 실물 인증을 실행하고 새 그룹을 생성합니다. (기본값: 빈 문자열) | STRING | 아니요 | - | + +**비디오 제약 조건:** +* **길이:** 2초에서 15초 사이여야 합니다. +* **크기:** 가로와 세로가 각각 300픽셀에서 6000픽셀 사이여야 합니다. +* **종횡비:** 가로 대 세로 비율이 0.4에서 2.5 사이여야 합니다. +* **총 픽셀 수:** 총 픽셀 수(가로 × 세로)가 409,600에서 927,408 사이여야 합니다. +* **프레임 속도:** 초당 24프레임에서 60프레임(FPS) 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `group_id` | 새로 생성된 비디오 자산의 고유 식별자입니다. | STRING | +| `group_id` | 새 비디오가 포함된 자산 그룹의 식별자입니다. 제공된 `group_id`이거나 새로 생성된 ID입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/ko.md) + +--- +**Source fingerprint (SHA-256):** `9da0872cf8df32765e3fb1eef50bc24f53b65e069d8ef2609de1075d89edd605` diff --git a/ko/built-in-nodes/ByteDanceFirstLastFrameNode.mdx b/ko/built-in-nodes/ByteDanceFirstLastFrameNode.mdx new file mode 100644 index 000000000..8180d3f8a --- /dev/null +++ b/ko/built-in-nodes/ByteDanceFirstLastFrameNode.mdx @@ -0,0 +1,37 @@ +--- +title: "ByteDanceFirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceFirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceFirstLastFrameNode" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 텍스트 프롬프트와 첫 번째 및 마지막 프레임 이미지를 사용하여 비디오를 생성합니다. 사용자의 설명과 두 개의 키 프레임을 바탕으로 두 프레임 사이를 자연스럽게 전환하는 완전한 비디오 시퀀스를 생성합니다. 이 노드는 비디오의 해상도, 화면 비율, 길이 및 기타 생성 매개변수를 제어할 수 있는 다양한 옵션을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 모델입니다 (기본값: `"seedance-1-0-lite-i2v-250428"`). | COMBO | 예 | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"` | +| `prompt` | 비디오를 생성하는 데 사용되는 텍스트 프롬프트입니다. | STRING | 예 | - | +| `first_frame` | 비디오에 사용할 첫 번째 프레임입니다. 300x300 ~ 6000x6000 픽셀 사이여야 하며, 화면 비율은 0.4 ~ 2.5 사이여야 합니다. | IMAGE | 예 | - | +| `last_frame` | 비디오에 사용할 마지막 프레임입니다. 300x300 ~ 6000x6000 픽셀 사이여야 하며, 화면 비율은 0.4 ~ 2.5 사이여야 합니다. | IMAGE | 예 | - | +| `resolution` | 출력 비디오의 해상도입니다. | COMBO | 예 | `"480p"`
`"720p"`
`"1080p"` | +| `aspect_ratio` | 출력 비디오의 화면 비율입니다 (기본값: `"adaptive"`). | COMBO | 예 | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | +| `duration` | 출력 비디오의 길이(초)입니다 (기본값: 5). 참고: `seedance-1-5-pro-251215` 모델의 경우 최소 지원 길이는 4초입니다. | INT | 예 | 3 - 12 | +| `seed` | 생성에 사용할 시드 값입니다 (기본값: 0). | INT | 아니요 | 0 - 2147483647 | +| `camera_fixed` | 카메라 고정 여부를 지정합니다. 플랫폼에서 프롬프트에 카메라 고정 지시를 추가하지만, 실제 효과는 보장되지 않습니다 (기본값: False). | BOOLEAN | 아니요 | - | +| `watermark` | 비디오에 "AI 생성" 워터마크를 추가할지 여부입니다 (기본값: False). | BOOLEAN | 아니요 | - | +| `generate_audio` | 이 매개변수는 `seedance-1-5-pro-251215` 모델을 제외한 모든 모델에서 무시됩니다 (기본값: False). | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `2da7b8ad2bc818a21988c028155ba2b466452a1655ac506fcef01c143dda7450` diff --git a/ko/built-in-nodes/ByteDanceImageEditNode.mdx b/ko/built-in-nodes/ByteDanceImageEditNode.mdx new file mode 100644 index 000000000..35812930b --- /dev/null +++ b/ko/built-in-nodes/ByteDanceImageEditNode.mdx @@ -0,0 +1,34 @@ +--- +title: "ByteDanceImageEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceImageEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceImageEditNode" +icon: "circle" +mode: wide +--- +다음은 제공된 영어 문서를 한국어로 번역한 결과입니다. + +--- + +ByteDance Image Edit 노드는 API를 통해 ByteDance의 AI 모델을 사용하여 이미지를 수정할 수 있도록 합니다. 입력 이미지와 원하는 변경 사항을 설명하는 텍스트 프롬프트를 제공하면, 노드가 사용자의 지침에 따라 이미지를 처리합니다. 이 노드는 API 통신을 자동으로 처리하고 수정된 이미지를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `model` | 모델 이름 | MODEL | COMBO | seededit_3 | Image2ImageModelName 옵션 | +| `image` | 편집할 기본 이미지 | IMAGE | IMAGE | - | - | +| `prompt` | 이미지 편집 지침 | STRING | STRING | "" | - | +| `seed` | 생성에 사용할 시드 | INT | INT | 0 | 0-2147483647 | +| `guidance_scale` | 값이 높을수록 이미지가 프롬프트를 더 정확하게 따릅니다 | FLOAT | FLOAT | 5.5 | 1.0-10.0 | +| `watermark` | 이미지에 "AI 생성" 워터마크를 추가할지 여부 | BOOLEAN | BOOLEAN | True | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | ByteDance API에서 반환된 편집된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageEditNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `9dc13d89f84756b545120efb5535e08ada163d4534975809f5056bdf7d8bfb73` diff --git a/ko/built-in-nodes/ByteDanceImageNode.mdx b/ko/built-in-nodes/ByteDanceImageNode.mdx new file mode 100644 index 000000000..bb6299b88 --- /dev/null +++ b/ko/built-in-nodes/ByteDanceImageNode.mdx @@ -0,0 +1,36 @@ +--- +title: "ByteDanceImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceImageNode" +icon: "circle" +mode: wide +--- +# ByteDance 이미지 노드 + +ByteDance 이미지 노드는 텍스트 프롬프트를 기반으로 API를 통해 ByteDance 모델을 사용하여 이미지를 생성합니다. 모델을 선택하고, 이미지 크기를 지정하며, 시드 및 안내 척도와 같은 다양한 생성 매개변수를 제어할 수 있습니다. 이 노드는 ByteDance의 이미지 생성 서비스에 연결되어 생성된 이미지를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 이미지 생성에 사용할 ByteDance 모델입니다. 현재는 하나의 모델 옵션만 사용 가능합니다. | STRING | 예 | `"seedream-3-0-t2i-250415"` | +| `프롬프트` | 이미지를 생성하는 데 사용되는 텍스트 프롬프트입니다. 공백을 제거한 후 최소 1자 이상이어야 합니다. | STRING | 예 | - | +| `크기 사전 설정` | 권장 크기를 선택합니다. 아래의 너비와 높이를 사용하려면 사용자 정의를 선택하세요. 사용 가능한 프리셋은 `RECOMMENDED_PRESETS` 목록에 정의되어 있습니다. | STRING | 예 | 설명 참조 | +| `너비` | 이미지의 사용자 정의 너비입니다. 이 값은 `크기 사전 설정`이 `Custom`으로 설정된 경우에만 사용됩니다. 기본값: 1024. | INT | 예 | 512 ~ 2048 (64 단위) | +| `높이` | 이미지의 사용자 정의 높이입니다. 이 값은 `크기 사전 설정`이 `Custom`으로 설정된 경우에만 사용됩니다. 기본값: 1024. | INT | 예 | 512 ~ 2048 (64 단위) | +| `시드` | 생성에 사용할 시드입니다. 기본값: 0. | INT | 아니요 | 0 ~ 2147483647 (1 단위) | +| `가이던스 스케일` | 값이 높을수록 이미지가 프롬프트를 더 밀접하게 따릅니다. 기본값: 2.5. | FLOAT | 아니요 | 1.0 ~ 10.0 (0.01 단위) | +| `워터마크` | 이미지에 "AI 생성" 워터마크를 추가할지 여부입니다. 기본값: False. 고급 매개변수입니다. | BOOLEAN | 아니요 | True / False | + +**크기 매개변수 참고:** `width` 및 `height` 매개변수는 `size_preset`이 `Custom`으로 설정된 경우에만 사용됩니다. 프리셋 크기를 선택하면 프리셋의 치수가 사용자 정의 너비와 높이 값을 재정의합니다. 사용자 정의 크기를 사용할 경우 너비와 높이는 모두 512에서 2048 픽셀 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | ByteDance API에서 텐서 형태로 반환된 생성된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `6ad3011ae942e81bc5e5296fa7120ee89637ef7487e2f12822d84b6917ec211e` diff --git a/ko/built-in-nodes/ByteDanceImageReferenceNode.mdx b/ko/built-in-nodes/ByteDanceImageReferenceNode.mdx new file mode 100644 index 000000000..2315b3a4c --- /dev/null +++ b/ko/built-in-nodes/ByteDanceImageReferenceNode.mdx @@ -0,0 +1,36 @@ +--- +title: "ByteDanceImageReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceImageReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceImageReferenceNode" +icon: "circle" +mode: wide +--- +# ByteDance 이미지 참조 노드 + +ByteDance 이미지 참조 노드는 텍스트 프롬프트와 1~4개의 참조 이미지를 사용하여 비디오를 생성합니다. 이 노드는 이미지와 프롬프트를 외부 API 서비스로 전송하여, 사용자의 설명과 일치하면서 참조 이미지의 시각적 스타일과 콘텐츠를 반영한 비디오를 생성합니다. 또한 비디오 해상도, 화면 비율, 길이 및 기타 생성 매개변수를 제어할 수 있는 다양한 옵션을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 비디오 생성에 사용할 AI 모델입니다(기본값: `"seedance-1-0-lite-i2v-250428"`). | STRING | 예 | `"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"` | +| `프롬프트` | 비디오 생성에 사용되는 텍스트 프롬프트입니다. | STRING | 예 | - | +| `이미지` | 1~4개의 이미지입니다. 각 이미지는 300x300에서 6000x6000 픽셀 사이여야 하며, 화면 비율은 0.4에서 2.5 사이여야 합니다. | IMAGE | 예 | - | +| `해상도` | 출력 비디오의 해상도입니다. | STRING | 예 | `"480p"`
`"720p"` | +| `화면비율` | 출력 비디오의 화면 비율입니다(기본값: `"adaptive"`). | STRING | 예 | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | +| `지속 시간` | 출력 비디오의 길이(초)입니다(기본값: 5). | INT | 예 | 3 - 12 | +| `시드` | 생성에 사용할 시드입니다(기본값: 0). | INT | 아니요 | 0 - 2147483647 | +| `워터마크` | 비디오에 "AI 생성" 워터마크를 추가할지 여부입니다(기본값: False). | BOOLEAN | 아니요 | - | + +**참고:** 프롬프트 텍스트에는 `--resolution`, `--ratio`, `--duration`, `--seed` 또는 `--watermark` 매개변수 문자열이 포함되어서는 안 됩니다. 이러한 값은 전용 입력 위젯을 통해서만 제어됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력 프롬프트와 참조 이미지를 기반으로 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `d5d1292d6af2fe24dc5c8a10174204546a5a6054ea1f43db44a45ce1017957d6` diff --git a/ko/built-in-nodes/ByteDanceImageToVideoNode.mdx b/ko/built-in-nodes/ByteDanceImageToVideoNode.mdx new file mode 100644 index 000000000..a04fbff5d --- /dev/null +++ b/ko/built-in-nodes/ByteDanceImageToVideoNode.mdx @@ -0,0 +1,38 @@ +--- +title: "ByteDanceImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceImageToVideoNode" +icon: "circle" +mode: wide +--- +# ByteDance Image to Video 노드 + +ByteDance Image to Video 노드는 입력 이미지와 텍스트 프롬프트를 기반으로 API를 통해 ByteDance 모델을 사용하여 비디오를 생성합니다. 시작 이미지 프레임을 받아 제공된 설명을 따르는 비디오 시퀀스를 생성합니다. 이 노드는 비디오 해상도, 화면 비율, 길이 및 기타 생성 매개변수에 대한 다양한 사용자 지정 옵션을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 비디오 생성에 사용할 ByteDance 모델입니다 (기본값: `"seedance-1-0-pro-fast-251015"`). | STRING | 예 | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"`
`"seedance-1-0-pro-fast-251015"` | +| `프롬프트` | 비디오를 생성하는 데 사용되는 텍스트 프롬프트입니다. 공백을 제거한 후 최소 1자 이상이어야 합니다. | STRING | 예 | - | +| `이미지` | 비디오의 첫 번째 프레임으로 사용할 이미지입니다. 300x300에서 6000x6000 픽셀 사이여야 하며, 화면 비율은 0.4에서 2.5 사이여야 합니다. | IMAGE | 예 | - | +| `해상도` | 출력 비디오의 해상도입니다. | STRING | 예 | `"480p"`
`"720p"`
`"1080p"` | +| `화면비율` | 출력 비디오의 화면 비율입니다. | STRING | 예 | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | +| `지속 시간` | 출력 비디오의 길이(초)입니다 (기본값: 5). `seedance-1-5-pro-251215` 모델의 경우 지원되는 최소 길이는 4초입니다. | INT | 예 | 3 - 12 | +| `시드` | 생성에 사용할 시드 값입니다 (기본값: 0). | INT | 아니요 | 0 - 2147483647 | +| `카메라 고정` | 카메라를 고정할지 여부를 지정합니다. 플랫폼은 프롬프트에 카메라 고정 명령을 추가하지만, 실제 효과는 보장하지 않습니다 (기본값: False). | BOOLEAN | 아니요 | - | +| `워터마크` | 비디오에 "AI 생성" 워터마크를 추가할지 여부입니다 (기본값: False). | BOOLEAN | 아니요 | - | +| `generate_audio` | 이 매개변수는 `seedance-1-5-pro-251215` 모델을 제외한 모든 모델에서 무시됩니다 (기본값: False). | BOOLEAN | 아니요 | - | + +**참고:** 프롬프트에는 다음 단어가 포함되어서는 안 됩니다 (대소문자 구분 없음): `resolution`, `ratio`, `duration`, `seed`, `camerafixed`, `watermark`. 이러한 매개변수는 전용 입력을 통해 설정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력 이미지와 프롬프트 매개변수를 기반으로 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `e47e14c69f4bdf4921a5a5eaec20fb775473483e80cdd9dd6700d2c7f9219e65` diff --git a/ko/built-in-nodes/ByteDanceSeedNode.mdx b/ko/built-in-nodes/ByteDanceSeedNode.mdx new file mode 100644 index 000000000..8613db02d --- /dev/null +++ b/ko/built-in-nodes/ByteDanceSeedNode.mdx @@ -0,0 +1,32 @@ +--- +title: "ByteDanceSeedNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceSeedNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceSeedNode" +icon: "circle" +mode: wide +--- +# 개요 + +ByteDance의 Seed 2.0 모델을 사용하여 텍스트 응답을 생성합니다. 텍스트 프롬프트를 제공하고, 멀티모달 컨텍스트를 위해 이미지나 비디오를 선택적으로 포함할 수 있습니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 모델에 입력할 텍스트입니다. | STRING | 예 | 해당 없음 | +| `모델` | 응답 생성에 사용할 Seed 모델입니다. | COMBO | 예 | `"Seed 2.0 Pro"`
`"Seed 2.0 Lite"`
`"Seed 2.0 Mini"` | +| `시드` | 시드는 노드 재실행 여부를 제어하며, 시드와 관계없이 결과는 비결정적입니다. (기본값: 0) | INT | 예 | 0 ~ 2147483647 | +| `시스템 프롬프트` | 모델의 동작을 지시하는 기본 명령입니다. (기본값: "") | STRING | 아니요 | 해당 없음 | + +**`model` 매개변수 참고사항:** `model` 매개변수는 이미지와 비디오도 허용하는 동적 콤보입니다. 이 매개변수에 이미지 및 비디오 입력을 연결하여 멀티모달 컨텍스트를 제공할 수 있습니다. 요청당 최대 20개의 이미지와 4개의 비디오가 지원됩니다. + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | Seed 모델에서 생성된 텍스트 응답입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172` diff --git a/ko/built-in-nodes/ByteDanceSeedreamNode.mdx b/ko/built-in-nodes/ByteDanceSeedreamNode.mdx new file mode 100644 index 000000000..39c1673b0 --- /dev/null +++ b/ko/built-in-nodes/ByteDanceSeedreamNode.mdx @@ -0,0 +1,44 @@ +--- +title: "ByteDanceSeedreamNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceSeedreamNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceSeedreamNode" +icon: "circle" +mode: wide +--- +# ByteDance Seedream 노드 + +ByteDance Seedream 4.5 및 5.0 노드는 최대 4K 해상도에서 통합된 텍스트-이미지 생성 및 정밀한 단일 문장 편집 기능을 제공합니다. 텍스트 프롬프트로 새 이미지를 생성하거나 텍스트 명령어를 사용하여 기존 이미지를 편집할 수 있습니다. 이 노드는 단일 이미지 생성과 여러 관련 이미지의 순차적 생성을 모두 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 생성에 사용할 Seedream 모델입니다. 사용 가능한 모델로는 seedream-4-0, seedream-4-5 및 seedream-5-0 변형이 있습니다. | STRING | 예 | 설명 참조 | +| `프롬프트` | 이미지를 생성하거나 편집하기 위한 텍스트 프롬프트입니다. 최소 1자 이상이어야 합니다. | STRING | 예 | - | +| `이미지` | 이미지-이미지 생성을 위한 입력 이미지입니다. 단일 또는 다중 참조 생성을 위한 참조 이미지입니다. 대부분의 모델에서 최대 10개의 참조 이미지, seedream-5-0-260128의 경우 최대 14개입니다. | IMAGE | 아니요 | - | +| `크기 사전 설정` | 권장 크기를 선택합니다. 아래의 너비와 높이를 사용하려면 사용자 정의를 선택하세요. 기본값: RECOMMENDED_PRESETS_SEEDREAM_4의 첫 번째 프리셋. | STRING | 아니요 | 여러 옵션 사용 가능 | +| `너비` | 이미지의 사용자 정의 너비입니다. `크기 사전 설정`이 `Custom`으로 설정된 경우에만 값이 적용됩니다. 기본값: 2048. | INT | 아니요 | 1024 ~ 6240 (2단위) | +| `높이` | 이미지의 사용자 정의 높이입니다. `크기 사전 설정`이 `Custom`으로 설정된 경우에만 값이 적용됩니다. 기본값: 2048. | INT | 아니요 | 1024 ~ 4992 (2단위) | +| `순차적 이미지 생성` | 그룹 이미지 생성 모드입니다. "disabled"는 단일 이미지를 생성합니다. "auto"는 모델이 여러 관련 이미지(예: 스토리 장면, 캐릭터 변형)를 생성할지 여부를 결정합니다. 기본값: "disabled". | STRING | 아니요 | "disabled"
"auto" | +| `max_images` | sequential_image_generation='auto'일 때 생성할 최대 이미지 수입니다. 총 이미지(입력 + 생성)는 15개를 초과할 수 없습니다. 기본값: 1. | INT | 아니요 | 1 ~ 15 (1단위) | +| `seed` | 생성에 사용할 시드입니다. 기본값: 0. | INT | 아니요 | 0 ~ 2147483647 (1단위) | +| `watermark` | 이미지에 "AI 생성" 워터마크를 추가할지 여부입니다. 기본값: False. | BOOLEAN | 아니요 | - | +| `fail_on_partial` | 활성화된 경우 요청된 이미지가 누락되거나 오류가 발생하면 실행을 중단합니다. 기본값: True. | BOOLEAN | 아니요 | - | + +**매개변수 제약 조건 참고 사항:** +- 최소 이미지 해상도는 선택한 모델에 따라 다릅니다: seedream-4-5 및 seedream-5-0 모델의 경우 3.68MP, seedream-4-0 모델의 경우 0.92MP입니다. +- 최대 이미지 해상도는 seedream-5-0 모델의 경우 10.4MP, 다른 모델의 경우 16.78MP입니다. +- 참조 이미지의 종횡비는 1:3에서 3:1 사이여야 합니다. +- `sequential_image_generation`이 "auto"로 설정된 경우 입력 이미지 수와 `max_images`의 합계가 15를 초과할 수 없습니다. +- `width` 및 `height` 매개변수는 `size_preset`이 "Custom"으로 설정된 경우에만 사용됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 입력 매개변수와 프롬프트를 기반으로 생성된 이미지입니다. 단일 이미지 텐서 또는 여러 이미지가 생성된 경우 이미지 텐서 배치를 반환합니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `ce130246026e0f5036e137bea4e193f51097e0812459586dcbeb87ef01975630` diff --git a/ko/built-in-nodes/ByteDanceSeedreamNodeV2.mdx b/ko/built-in-nodes/ByteDanceSeedreamNodeV2.mdx new file mode 100644 index 000000000..2b0f7fb1b --- /dev/null +++ b/ko/built-in-nodes/ByteDanceSeedreamNodeV2.mdx @@ -0,0 +1,53 @@ +--- +title: "ByteDanceSeedreamNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceSeedreamNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceSeedreamNodeV2" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 ByteDance의 Seedream 모델(버전 4.0, 4.5, 5.0 Lite)을 사용하여 이미지를 생성하거나 편집합니다. 텍스트 프롬프트로 새 이미지를 만들거나 참조 이미지를 제공하여 기존 이미지를 편집할 수 있으며, 최대 4K 해상도를 지원합니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 이미지 생성 또는 편집을 위한 텍스트 프롬프트입니다. | STRING | 예 | 해당 없음 | +| `모델` | 생성에 사용할 Seedream 모델 버전입니다. 각 모델마다 기능과 가격이 다릅니다. | COMBO | 예 | `"seedream 5.0 lite"`
`"seedream-4-5-251128"`
`"seedream-4-0-250828"` | +| `시드` | 생성에 사용할 시드입니다(기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | +| `워터마크` | 이미지에 "AI 생성" 워터마크를 추가할지 여부입니다(기본값: False). | BOOLEAN | 아니요 | True / False | + +## 모델별 매개변수 + +모델을 선택하면 추가 매개변수를 사용할 수 있습니다: + +- **크기 사전 설정**: 미리 정의된 이미지 해상도를 선택하는 드롭다운입니다(예: "2048x2048", "1024x1024"). 사용 가능한 사전 설정은 선택한 모델에 따라 다릅니다. +- **너비**: 생성된 이미지의 픽셀 단위 너비입니다(기본값: 2048). +- **높이**: 생성된 이미지의 픽셀 단위 높이입니다(기본값: 2048). +- **최대 이미지 수**: 생성할 최대 이미지 수입니다(기본값: 1). 1로 설정하면 순차적 이미지 생성이 비활성화됩니다. +- **참조 이미지**: 편집을 위한 최대 10개(Seedream 4.0 및 4.5) 또는 14개(Seedream 5.0 Lite)의 참조 이미지입니다. 이미지의 가로세로 비율은 1:3에서 3:1 사이여야 합니다. +- **부분 실패 시 오류 발생**: 활성화하면 요청된 모든 이미지가 성공적으로 생성되지 않을 경우 노드에서 오류를 발생시킵니다(기본값: False). + +## 해상도 제약 조건 + +- **Seedream 5.0 Lite 및 4.5**: 최소 해상도는 3.68 메가픽셀입니다(예: 1920x1920). +- **Seedream 4.0**: 최소 해상도는 0.92 메가픽셀입니다(예: 960x960). +- **모든 모델**: 최대 해상도는 16.78 메가픽셀입니다(예: 4096x4096). + +## 이미지 개수 제약 조건 + +- 참조 이미지와 생성된 이미지의 총 개수는 15개를 초과할 수 없습니다. +- Seedream 5.0 Lite의 경우 최대 14개의 참조 이미지가 지원됩니다. +- Seedream 4.0 및 4.5의 경우 최대 10개의 참조 이미지가 지원됩니다. + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 생성되거나 편집된 이미지를 텐서 형태로 반환합니다. 여러 이미지가 요청된 경우 단일 배치로 연결됩니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/ko.md) + +--- +**Source fingerprint (SHA-256):** `1ceccfdb773807a993c32af22703da155367b67865338c78f153a8ccb02dcc8f` diff --git a/ko/built-in-nodes/ByteDanceTextToVideoNode.mdx b/ko/built-in-nodes/ByteDanceTextToVideoNode.mdx new file mode 100644 index 000000000..b2e160e3c --- /dev/null +++ b/ko/built-in-nodes/ByteDanceTextToVideoNode.mdx @@ -0,0 +1,43 @@ +--- +title: "ByteDanceTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceTextToVideoNode" +icon: "circle" +mode: wide +--- +# ByteDance Text to Video 노드 + +ByteDance Text to Video 노드는 API를 통해 ByteDance 모델을 사용하여 텍스트 프롬프트를 기반으로 비디오를 생성합니다. 텍스트 설명과 다양한 비디오 설정을 입력으로 받아 지정된 사양에 맞는 비디오를 생성합니다. 이 노드는 API 통신을 처리하고 생성된 비디오를 출력으로 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 ByteDance 모델입니다 (기본값: `"seedance-1-0-pro-fast-251015"`). | STRING | 예 | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-t2v-250428"`
`"seedance-1-0-pro-fast-251015"` | +| `prompt` | 비디오를 생성하는 데 사용되는 텍스트 프롬프트입니다. | STRING | 예 | - | +| `resolution` | 출력 비디오의 해상도입니다. | STRING | 예 | `"480p"`
`"720p"`
`"1080p"` | +| `aspect_ratio` | 출력 비디오의 화면 비율입니다. | STRING | 예 | `"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | +| `duration` | 출력 비디오의 길이(초)입니다 (기본값: 5). | INT | 예 | 3 ~ 12 | +| `seed` | 생성에 사용할 시드입니다 (기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | +| `camera_fixed` | 카메라를 고정할지 여부를 지정합니다. 플랫폼은 프롬프트에 카메라를 고정하는 명령을 추가하지만 실제 효과는 보장하지 않습니다 (기본값: False). | BOOLEAN | 아니요 | - | +| `watermark` | 비디오에 "AI 생성" 워터마크를 추가할지 여부입니다 (기본값: False). | BOOLEAN | 아니요 | - | +| `generate_audio` | 이 매개변수는 `seedance-1-5-pro-251215` 모델을 제외한 모든 모델에서 무시됩니다 (기본값: False). | BOOLEAN | 아니요 | - | + +**매개변수 제약 조건:** + +- `prompt` 매개변수는 공백 제거 후 최소 1자 이상이어야 합니다. +- `prompt` 매개변수에는 "resolution", "ratio", "duration", "seed", "camerafixed", "watermark" 텍스트 매개변수가 포함될 수 없습니다. +- `duration` 매개변수는 3초에서 12초 사이의 값으로 제한됩니다. `seedance-1-5-pro-251215` 모델의 경우 지원되는 최소 길이는 4초입니다. +- `seed` 매개변수는 0부터 2,147,483,647까지의 값을 허용합니다. +- `generate_audio` 매개변수는 `model`이 `seedance-1-5-pro-251215`로 설정된 경우에만 효과가 있으며, 다른 모든 모델에서는 무시됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `44ea3e40b99b337340cc39be1c5b6c903680591f1de49b1f2e82f398979355c5` diff --git a/ko/built-in-nodes/CFGGuider.mdx b/ko/built-in-nodes/CFGGuider.mdx new file mode 100644 index 000000000..da1950c3c --- /dev/null +++ b/ko/built-in-nodes/CFGGuider.mdx @@ -0,0 +1,32 @@ +--- +title: "CFGGuider - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CFGGuider node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CFGGuider" +icon: "circle" +mode: wide +--- +다음은 ComfyUI CFGGuider 노드 문서의 한국어 번역입니다. + +--- + +CFGGuider 노드는 이미지 생성 과정에서 샘플링을 제어하기 위한 안내 시스템을 생성합니다. 모델과 함께 긍정 및 부정 조건 입력을 받은 다음, 분류기 자유 안내 척도를 적용하여 원하지 않는 요소는 피하면서 원하는 내용으로 생성을 유도합니다. 이 노드는 샘플링 노드에서 이미지 생성 방향을 제어하는 데 사용할 수 있는 안내자 객체를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 안내에 사용될 모델입니다. | MODEL | 예 | - | +| `긍정 조건` | 원하는 내용으로 생성을 유도하는 긍정 조건입니다. | CONDITIONING | 예 | - | +| `부정 조건` | 원하지 않는 내용에서 생성을 멀어지게 하는 부정 조건입니다. | CONDITIONING | 예 | - | +| `cfg` | 조건이 생성에 미치는 영향을 제어하는 분류기 자유 안내 척도입니다. (기본값: 8.0) | FLOAT | 예 | 0.0 ~ 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `GUIDER` | 샘플링 노드에 전달되어 생성 과정을 제어하는 데 사용되는 안내자 객체입니다. | GUIDER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGGuider/ko.md) + +--- +**Source fingerprint (SHA-256):** `80c1f733dc26717c5762655404b9c36b53bb9059ceb6a8531ef1a853e2fe2380` diff --git a/ko/built-in-nodes/CFGNorm.mdx b/ko/built-in-nodes/CFGNorm.mdx new file mode 100644 index 000000000..07a820ace --- /dev/null +++ b/ko/built-in-nodes/CFGNorm.mdx @@ -0,0 +1,28 @@ +--- +title: "CFGNorm - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CFGNorm node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CFGNorm" +icon: "circle" +mode: wide +--- +# CFGNorm 노드 + +CFGNorm 노드는 확산 모델의 분류기-자유 유도(CFG) 과정에 정규화 기법을 적용합니다. 조건부 출력과 비조건부 출력의 노름(norm)을 비교하여 잡음 제거 예측의 스케일을 조정한 후, 강도 승수를 적용하여 효과를 제어합니다. 이는 유도 스케일링에서 극단적인 값을 방지하여 생성 과정을 안정화하는 데 도움을 줍니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 형태 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `model` | CFG 정규화를 적용할 확산 모델 | MODEL | 필수 | - | - | +| `strength` | CFG 스케일링에 적용되는 정규화 효과의 강도를 제어합니다 | FLOAT | 필수 | 1.0 | 0.0 - 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `patched_model` | 샘플링 과정에 CFG 정규화가 적용된 수정된 모델을 반환합니다 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGNorm/ko.md) + +--- +**Source fingerprint (SHA-256):** `af9e5f965500b959ff46f781e9329524fc0a4b94af2ce6d74116fe27b0e9005e` diff --git a/ko/built-in-nodes/CFGOverride.mdx b/ko/built-in-nodes/CFGOverride.mdx new file mode 100644 index 000000000..f364e8401 --- /dev/null +++ b/ko/built-in-nodes/CFGOverride.mdx @@ -0,0 +1,30 @@ +--- +title: "CFGOverride - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CFGOverride node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CFGOverride" +icon: "circle" +mode: wide +--- +# CFG 재정의 + +CFG 재정의 노드는 샘플링 과정의 특정 범위(전체 단계의 백분율로 정의)에 대해 고정된 CFG(분류기-자유 안내) 스케일 값을 설정할 수 있게 해줍니다. 여러 개의 CFG 재정의 노드가 연결된 경우, 체인에서 샘플러에 가장 가까운 노드가 중복되는 범위에 대해 우선순위를 갖습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `model` | CFG 재정의를 적용할 모델 | MODEL | 예 | | +| `cfg` | 재정의 범위 동안 사용할 고정 CFG 스케일 값 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 100.0 | +| `시작 퍼센트` | 샘플링 과정의 백분율로 표시한 재정의 범위 시작 지점 (기본값: 0.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `종료 퍼센트` | 샘플링 과정의 백분율로 표시한 재정의 범위 종료 지점 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `MODEL` | CFG 재정의 래퍼가 적용된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGOverride/ko.md) + +--- +**Source fingerprint (SHA-256):** `1fe57a4e78a2f18c4e7da49fa7a6c473d64dc0ebf6662535dfb5379c37936662` diff --git a/ko/built-in-nodes/CFGZeroStar.mdx b/ko/built-in-nodes/CFGZeroStar.mdx new file mode 100644 index 000000000..6781362d6 --- /dev/null +++ b/ko/built-in-nodes/CFGZeroStar.mdx @@ -0,0 +1,25 @@ +--- +title: "CFGZeroStar - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CFGZeroStar node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CFGZeroStar" +icon: "circle" +mode: wide +--- +CFGZeroStar 노드는 확산 모델에 특수한 안내 스케일링 기법을 적용합니다. 조건부 예측과 무조건부 예측 간의 차이를 기반으로 최적화된 스케일 팩터를 계산하여 분류기 없는 안내 과정을 수정합니다. 이 접근 방식은 모델 안정성을 유지하면서 생성 과정에 대한 향상된 제어를 제공하도록 최종 출력을 조정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `모델` | CFGZeroStar 안내 스케일링 기법으로 수정할 확산 모델 | MODEL | 필수 | - | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `patched_model` | CFGZeroStar 안내 스케일링이 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGZeroStar/ko.md) + +--- +**Source fingerprint (SHA-256):** `1f5fcd1377c64609e28d85e453aaaa0bcc8f3ac322b7b7240f34f71aa113562a` diff --git a/ko/built-in-nodes/Canny.mdx b/ko/built-in-nodes/Canny.mdx new file mode 100644 index 000000000..467a97dc2 --- /dev/null +++ b/ko/built-in-nodes/Canny.mdx @@ -0,0 +1,49 @@ +--- +title: "Canny - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Canny node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Canny" +icon: "circle" +mode: wide +--- +사진에서 모든 가장자리 선을 추출합니다. 마치 펜으로 사진의 윤곽을 따라 그리듯이, 객체의 윤곽과 세부 경계선을 그려냅니다. + +## 작동 원리 + +여러분이 펜을 사용하여 사진의 윤곽을 따라 그려야 하는 예술가라고 상상해 보세요. Canny 노드는 지능형 어시스턴트처럼 작동하여, 어디에 선(가장자리)을 그리고 어디에 그리지 말아야 할지 결정하는 데 도움을 줍니다. + +이 과정은 일종의 선별 작업과 같습니다. + +- **높은 임계값**은 "반드시 선을 그어야 하는 기준"입니다. 매우 명확하고 뚜렷한 윤곽선만 그려집니다(예: 사람의 얼굴 윤곽, 건물의 프레임). +- **낮은 임계값**은 "절대 선을 그어서는 안 되는 기준"입니다. 너무 약한 가장자리는 무시되어 노이즈와 의미 없는 선이 그려지는 것을 방지합니다. +- **중간 영역**: 두 기준 사이에 있는 가장자리는 "반드시 그려야 하는 선"에 연결되어 있으면 함께 그려지지만, 고립되어 있으면 그려지지 않습니다. + +최종 출력물은 흑백 이미지이며, 흰색 부분은 감지된 가장자리 선이고 검은색 부분은 가장자리가 없는 영역입니다. + +## 입력 + +| 매개변수 이름 | 기능 설명 | 데이터 유형 | 입력 유형 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `이미지` | 가장자리 추출이 필요한 원본 사진 | IMAGE | 입력 | - | - | +| `낮은 임계값` | 낮은 임계값으로, 무시할 약한 가장자리의 기준을 결정합니다. 값이 낮을수록 더 많은 세부 정보를 보존하지만 노이즈가 발생할 수 있습니다. | FLOAT | 위젯 | 0.4 | 0.01-0.99 | +| `높은 임계값` | 높은 임계값으로, 보존할 강한 가장자리의 기준을 결정합니다. 값이 높을수록 가장 명확한 윤곽선만 유지됩니다. | FLOAT | 위젯 | 0.8 | 0.01-0.99 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지` | 흑백 가장자리 이미지로, 흰색 선은 감지된 가장자리이고 검은색 영역은 가장자리가 없는 부분입니다. | IMAGE | + +## 매개변수 비교 + +![원본 이미지](/images/built-in-nodes/Canny/input.webp) + +![매개변수 비교](/images/built-in-nodes/Canny/compare.webp) + +**일반적인 문제:** + +- 가장자리가 끊어짐: 높은 임계값을 낮춰 보십시오. +- 노이즈가 너무 많음: 낮은 임계값을 높이십시오. +- 중요한 세부 정보가 누락됨: 낮은 임계값을 낮추십시오. +- 가장자리가 너무 거침: 입력 이미지의 품질과 해상도를 확인하십시오. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Canny/ko.md) diff --git a/ko/built-in-nodes/CaseConverter.mdx b/ko/built-in-nodes/CaseConverter.mdx new file mode 100644 index 000000000..88d71c453 --- /dev/null +++ b/ko/built-in-nodes/CaseConverter.mdx @@ -0,0 +1,26 @@ +--- +title: "CaseConverter - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CaseConverter node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CaseConverter" +icon: "circle" +mode: wide +--- +케이스 변환기 노드는 텍스트 문자열을 다양한 대소문자 형식으로 변환합니다. 입력 문자열을 받아 선택된 모드에 따라 변환하며, 지정된 대소문자 형식이 적용된 출력 문자열을 생성합니다. 이 노드는 텍스트의 대소문자를 수정하는 네 가지 변환 옵션을 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `string` | 다른 대소문자 형식으로 변환할 텍스트 문자열 | STRING | 예 | - | +| `mode` | 적용할 대소문자 변환 모드 (기본값: `"UPPERCASE"`) | STRING | 예 | `"UPPERCASE"`
`"lowercase"`
`"Capitalize"`
`"Title Case"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 지정된 대소문자 형식으로 변환된 입력 문자열 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CaseConverter/ko.md) + +--- +**Source fingerprint (SHA-256):** `2493daccd5bdd86ce3fb24c6658057f5e50c2d6ed7616785f40806826f9a60dc` diff --git a/ko/built-in-nodes/CenterCropImages.mdx b/ko/built-in-nodes/CenterCropImages.mdx new file mode 100644 index 000000000..f46498294 --- /dev/null +++ b/ko/built-in-nodes/CenterCropImages.mdx @@ -0,0 +1,27 @@ +--- +title: "CenterCropImages - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CenterCropImages node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CenterCropImages" +icon: "circle" +mode: wide +--- +중앙 자르기 이미지 노드는 이미지의 중앙에서 지정된 너비와 높이로 자르기를 수행합니다. 입력 이미지의 중앙 영역을 계산하고 정의된 크기의 직사각형 영역을 추출합니다. 요청된 자르기 크기가 이미지보다 큰 경우, 자르기는 이미지 경계 내로 제한됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 자르기를 수행할 입력 이미지입니다. | IMAGE | 예 | - | +| `width` | 자르기 영역의 너비입니다(기본값: 512). | INT | 예 | 1~8192 | +| `height` | 자르기 영역의 높이입니다(기본값: 512). | INT | 예 | 1~8192 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 중앙 자르기 작업 후 생성된 결과 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CenterCropImages/ko.md) + +--- +**Source fingerprint (SHA-256):** `4361b6630ab1833e035d6ab04a130fb36fff33cddc36b54ff5a2d8e04534a555` diff --git a/ko/built-in-nodes/CheckpointLoader.mdx b/ko/built-in-nodes/CheckpointLoader.mdx new file mode 100644 index 000000000..59b3fe3b0 --- /dev/null +++ b/ko/built-in-nodes/CheckpointLoader.mdx @@ -0,0 +1,34 @@ +--- +title: "CheckpointLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CheckpointLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CheckpointLoader" +icon: "circle" +mode: wide +--- +# CheckpointLoader 노드 + +CheckpointLoader 노드는 사전 학습된 모델 체크포인트와 해당 설정 파일을 불러옵니다. 설정 파일과 체크포인트 파일을 입력으로 받아, 워크플로우에서 사용할 주 모델, CLIP 모델, VAE 모델을 포함한 로드된 모델 구성 요소를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `설정 이름` | 모델 아키텍처와 설정을 정의하는 설정 파일입니다 | STRING | 예 | 사용 가능한 설정 파일 | +| `체크포인트 파일명` | 학습된 모델 가중치와 매개변수가 포함된 체크포인트 파일입니다 | STRING | 예 | 사용 가능한 체크포인트 파일 | + +**참고:** 이 노드는 설정 파일과 체크포인트 파일을 모두 선택해야 합니다. 설정 파일은 불러오는 체크포인트 파일의 아키텍처와 일치해야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MODEL` | 추론에 사용할 수 있도록 로드된 주 모델 구성 요소입니다 | MODEL | +| `CLIP` | 텍스트 인코딩을 위해 로드된 CLIP 모델 구성 요소입니다 | CLIP | +| `VAE` | 이미지 인코딩 및 디코딩을 위해 로드된 VAE 모델 구성 요소입니다 | VAE | + +**중요 참고:** 이 노드는 더 이상 사용되지 않음(deprecated)으로 표시되었으며 향후 버전에서 제거될 수 있습니다. 새로운 워크플로우에서는 대체 로딩 노드를 사용하는 것을 고려해 주십시오. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoader/ko.md) + +--- +**Source fingerprint (SHA-256):** `9977bda5e124a9d10566839cbee868c74fab120c454141f27ce145efa60105e9` diff --git a/ko/built-in-nodes/CheckpointLoaderSimple.mdx b/ko/built-in-nodes/CheckpointLoaderSimple.mdx new file mode 100644 index 000000000..d28bf920b --- /dev/null +++ b/ko/built-in-nodes/CheckpointLoaderSimple.mdx @@ -0,0 +1,31 @@ +--- +title: "CheckpointLoaderSimple - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CheckpointLoaderSimple node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CheckpointLoaderSimple" +icon: "circle" +mode: wide +--- +## 개요 + +확산 모델 체크포인트 파일을 로드하여 잠재 노이즈 제거에 사용되는 메인 모델, CLIP 텍스트 인코더, VAE 이미지 인코더/디코더의 세 가지 핵심 구성 요소로 분해합니다. 이 노드는 `ComfyUI/models/checkpoints` 폴더와 `extra_model_paths.yaml` 파일에 구성된 추가 경로에 있는 모든 모델 파일을 자동으로 감지합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `체크포인트 파일명` | 로드할 체크포인트(모델)의 이름입니다. 체크포인트 모델 파일 이름을 선택하며, 이는 이후 이미지 생성에 사용될 AI 모델을 결정합니다. | STRING | 예 | checkpoints 폴더의 모든 모델 파일 | + +**참고:** ComfyUI 실행 중에 새 모델 파일이 추가된 경우, 브라우저를 새로고침(Ctrl+R)해야 드롭다운 목록에서 새 파일을 확인할 수 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MODEL` | 잠재 노이즈 제거에 사용되는 모델입니다. 이미지 생성을 위한 핵심 확산 모델입니다. | MODEL | +| `CLIP` | 텍스트 프롬프트 인코딩에 사용되는 CLIP 모델로, 텍스트 설명을 AI가 이해할 수 있는 정보로 변환합니다. | CLIP | +| `VAE` | 이미지를 잠재 공간으로 인코딩하고 디코딩하는 데 사용되는 VAE 모델입니다. | VAE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoaderSimple/ko.md) + +--- +**Source fingerprint (SHA-256):** `2fd8866ae659f8080f46c16d3a9864fa563d2090815d897ea2f42ba8d66d9b39` diff --git a/ko/built-in-nodes/CheckpointSave.mdx b/ko/built-in-nodes/CheckpointSave.mdx new file mode 100644 index 000000000..36fbbb0e0 --- /dev/null +++ b/ko/built-in-nodes/CheckpointSave.mdx @@ -0,0 +1,39 @@ +--- +title: "CheckpointSave - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CheckpointSave node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CheckpointSave" +icon: "circle" +mode: wide +--- +`Save Checkpoint` 노드는 UNet, CLIP 및 VAE 구성 요소를 포함한 완전한 Stable Diffusion 모델을 **.safetensors** 형식의 체크포인트 파일로 저장하도록 설계되었습니다. + +Save Checkpoint 노드는 주로 모델 병합 워크플로우에서 사용됩니다. `ModelMergeSimple`, `ModelMergeBlocks` 등의 노드를 통해 새로운 병합 모델을 생성한 후, 이 노드를 사용하여 결과를 재사용 가능한 체크포인트 파일로 저장할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | model 매개변수는 저장할 상태를 가진 기본 모델을 나타냅니다. 향후 복원 또는 분석을 위해 모델의 현재 상태를 캡처하는 데 필수적입니다. | MODEL | +| `clip` | clip 매개변수는 기본 모델과 연결된 CLIP 모델을 위한 것으로, 해당 상태를 기본 모델과 함께 저장할 수 있도록 합니다. | CLIP | +| `vae` | vae 매개변수는 VAE(Variational Autoencoder) 모델을 위한 것으로, 기본 모델 및 CLIP과 함께 해당 상태를 향후 사용 또는 분석을 위해 저장할 수 있도록 합니다. | VAE | +| `파일명 접두사` | 이 매개변수는 체크포인트가 저장될 파일 이름의 접두사를 지정합니다. | STRING | + +또한, 이 노드에는 메타데이터를 위한 두 개의 숨겨진 입력이 있습니다. + +**prompt (PROMPT)**: 워크플로우 프롬프트 정보 +**extra_pnginfo (EXTRA_PNGINFO)**: 추가 PNG 정보 + +## 출력 + +이 노드는 체크포인트 파일을 출력하며, 해당 출력 파일 경로는 `output/checkpoints/` 디렉터리입니다. + +## 아키텍처 호환성 + +- **완전 지원**: SDXL, SD3, SVD 및 기타 주류 아키텍처. 자세한 내용은 [소스 코드](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_model_merging.py#L176-L189)를 참조하십시오. +- **기본 지원**: 기타 아키텍처는 저장할 수 있지만 표준화된 메타데이터 정보는 없습니다. + +## 관련 링크 + +관련 소스 코드: [nodes_model_merging.py#L227](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_model_merging.py#L227) + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointSave/ko.md) diff --git a/ko/built-in-nodes/ChromaRadianceOptions.mdx b/ko/built-in-nodes/ChromaRadianceOptions.mdx new file mode 100644 index 000000000..1fa9bac53 --- /dev/null +++ b/ko/built-in-nodes/ChromaRadianceOptions.mdx @@ -0,0 +1,33 @@ +--- +title: "ChromaRadianceOptions - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ChromaRadianceOptions node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ChromaRadianceOptions" +icon: "circle" +mode: wide +--- +# ChromaRadianceOptions 노드 + +ChromaRadianceOptions 노드는 Chroma Radiance 모델의 고급 설정을 구성할 수 있도록 합니다. 기존 모델을 래핑하고 시그마 값에 기반하여 노이즈 제거 과정 중 특정 옵션을 적용함으로써, NeRF 타일 크기 및 기타 방사 관련 매개변수를 세밀하게 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | Chroma Radiance 옵션을 적용할 모델입니다 | MODEL | 예 | - | +| `preserve_wrapper` | 활성화하면 기존 모델 함수 래퍼가 존재할 경우 이를 위임합니다. 일반적으로 활성화된 상태로 두어야 합니다. (기본값: True) | BOOLEAN | 아니요 | - | +| `start_sigma` | 이 옵션이 적용되기 시작하는 첫 번째 시그마입니다. (기본값: 1.0) | FLOAT | 아니요 | 0.0 ~ 1.0 | +| `end_sigma` | 이 옵션이 적용되는 마지막 시그마입니다. (기본값: 0.0) | FLOAT | 아니요 | 0.0 ~ 1.0 | +| `nerf_tile_size` | 기본 NeRF 타일 크기를 재정의할 수 있습니다. -1은 기본값(32)을 사용함을 의미합니다. 0은 비타일링 모드를 사용함을 의미합니다(많은 VRAM이 필요할 수 있음). (기본값: -1) | INT | 아니요 | -1 이상 | + +**참고:** Chroma Radiance 옵션은 현재 시그마 값이 `end_sigma`와 `start_sigma` 사이(경계값 포함)에 있을 때만 적용됩니다. `nerf_tile_size` 매개변수는 0 이상의 값으로 설정된 경우에만 적용됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | Chroma Radiance 옵션이 적용된 수정된 모델입니다 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ChromaRadianceOptions/ko.md) + +--- +**Source fingerprint (SHA-256):** `b49a12e9aba59e4669c59e05a6aeff6d4ae5a4b656ca5b0de4bdf71291dca095` diff --git a/ko/built-in-nodes/ClaudeNode.mdx b/ko/built-in-nodes/ClaudeNode.mdx new file mode 100644 index 000000000..0e60b04bb --- /dev/null +++ b/ko/built-in-nodes/ClaudeNode.mdx @@ -0,0 +1,37 @@ +--- +title: "ClaudeNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ClaudeNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ClaudeNode" +icon: "circle" +mode: wide +--- +# 개요 + +Anthropic Claude 모델로부터 텍스트 응답을 생성합니다. 이 노드는 텍스트 프롬프트와 선택적 이미지를 Claude 모델에 전송하고 생성된 텍스트 응답을 반환합니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 모델에 입력할 텍스트입니다. (기본값: 빈 문자열) | STRING | 예 | 해당 없음 | +| `모델` | 응답을 생성하는 데 사용되는 Claude 모델입니다. | COMBO | 예 | `"Opus 4.7"`
`"Opus 4.6"`
`"Sonnet 4.6"`
`"Sonnet 4.5"`
`"Haiku 4.5"` | +| `시드` | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다. (기본값: 0) | INT | 예 | 0 ~ 2147483647 | +| `이미지` | 모델의 컨텍스트로 사용할 선택적 이미지입니다. 최대 20개까지 가능합니다. | IMAGE | 아니요 | 0 ~ 20개 이미지 | +| `시스템 프롬프트` | 모델의 동작을 지시하는 기본 명령입니다. (기본값: 빈 문자열) | STRING | 아니요 | 해당 없음 | + +## 매개변수 제약 조건 + +- **이미지 제한**: 요청당 최대 20개의 이미지를 제공할 수 있습니다. +- **온도(Temperature) 처리**: 사고(Thinking) 기능이 활성화되거나 "Opus 4.7" 모델을 사용하는 경우, Anthropic API 요구 사항에 따라 온도 매개변수가 자동으로 설정 해제됩니다(기본값 1.0). 다른 모델의 경우 모델 구성을 통해 온도를 설정할 수 있습니다. +- **사고/추론**: 모델 구성에는 사고 기능 활성화를 제어하는 `reasoning_effort` 설정이 포함됩니다. 활성화되면 노드는 선택된 모델에 따라 적응형 또는 예산 기반의 적절한 사고 모드를 자동으로 구성합니다. + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | Claude 모델에서 생성된 텍스트 응답입니다. 텍스트가 생성되지 않은 경우 "Empty response from Claude model."을 반환합니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382` diff --git a/ko/built-in-nodes/ClipAttentionMultiply.mdx b/ko/built-in-nodes/ClipAttentionMultiply.mdx new file mode 100644 index 000000000..ea5640603 --- /dev/null +++ b/ko/built-in-nodes/ClipAttentionMultiply.mdx @@ -0,0 +1,29 @@ +--- +title: "CLIPAttentionMultiply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPAttentionMultiply node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPAttentionMultiply" +icon: "circle" +mode: wide +--- +CLIPAttentionMultiply 노드는 CLIP 모델의 셀프 어텐션 레이어에 있는 다양한 구성 요소에 곱셈 계수를 적용하여 어텐션 메커니즘을 조정할 수 있게 해줍니다. 이 노드는 CLIP 모델 어텐션 메커니즘의 쿼리, 키, 값 및 출력 투영 가중치와 편향을 수정하여 작동합니다. 이 실험적인 노드는 지정된 스케일링 계수가 적용된 입력 CLIP 모델의 수정된 복사본을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 수정할 CLIP 모델 | CLIP | 예 | - | +| `q` | 쿼리 투영 가중치 및 편향에 대한 곱셈 계수 (기본값: 1.0) | FLOAT | 예 | 0.0 - 10.0 | +| `k` | 키 투영 가중치 및 편향에 대한 곱셈 계수 (기본값: 1.0) | FLOAT | 예 | 0.0 - 10.0 | +| `v` | 값 투영 가중치 및 편향에 대한 곱셈 계수 (기본값: 1.0) | FLOAT | 예 | 0.0 - 10.0 | +| `out` | 출력 투영 가중치 및 편향에 대한 곱셈 계수 (기본값: 1.0) | FLOAT | 예 | 0.0 - 10.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CLIP` | 지정된 어텐션 스케일링 계수가 적용된 수정된 CLIP 모델을 반환합니다 | CLIP | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPAttentionMultiply/ko.md) + +--- +**Source fingerprint (SHA-256):** `43dab83ecfc928f3359eb7560658f43235bf3faa62c81084a2b4f482e3a4638f` diff --git a/ko/built-in-nodes/ClipLoader.mdx b/ko/built-in-nodes/ClipLoader.mdx new file mode 100644 index 000000000..6dff94dfb --- /dev/null +++ b/ko/built-in-nodes/ClipLoader.mdx @@ -0,0 +1,45 @@ +--- +title: "CLIPLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPLoader" +icon: "circle" +mode: wide +--- +CLIPLoader 노드는 텍스트 인코더 모델(CLIP, T5 또는 이와 유사한 모델)을 파일에서 로드하여, 텍스트 프롬프트를 수치 표현으로 변환해야 하는 다른 노드에서 사용할 수 있도록 제공합니다. 다양한 모델 아키텍처를 지원하며, 각 아키텍처에는 특정 인코더 유형이 필요합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `CLIP 파일명` | 로드할 텍스트 인코더 모델의 파일 이름입니다. 이 파일은 `ComfyUI/models/text_encoders/` 또는 `ComfyUI/models/clip/` 디렉터리에 위치해야 합니다. | STRING | 예 | `text_encoders` 폴더에서 찾은 파일 목록 | +| `유형` | 로드 중인 모델의 아키텍처 유형입니다. 이는 사용할 특정 인코더 변형을 결정합니다. 기본값은 `"stable_diffusion"`입니다. | STRING | 예 | `"stable_diffusion"`
`"stable_cascade"`
`"sd3"`
`"stable_audio"`
`"mochi"`
`"ltxv"`
`"pixart"`
`"cosmos"`
`"lumina2"`
`"wan"`
`"hidream"`
`"chroma"`
`"ace"`
`"omnigen2"`
`"qwen_image"`
`"hunyuan_image"`
`"flux2"`
`"ovis"`
`"longcat_image"`
`"cogvideox"` | +| `장치` | 모델을 로드할 장치입니다. `"default"`는 가능한 경우 GPU를 사용하고, `"cpu"`는 CPU 로드를 강제합니다. 이는 고급 옵션입니다(기본값: `"default"`). | STRING | 아니요 | `"default"`
`"cpu"` | + +### 지원되는 유형-인코더 매핑 + +`type` 매개변수는 주어진 모델 아키텍처에 대해 올바른 인코더를 선택합니다. 다음은 일반적인 매핑입니다: + +| 유형 | 인코더 | +|------|---------| +| stable_diffusion | clip-l | +| stable_cascade | clip-g | +| sd3 | t5 xxl / clip-g / clip-l | +| stable_audio | t5 base | +| mochi | t5 xxl | +| cogvideox | t5 xxl (226-토큰 패딩) | +| cosmos | old t5 xxl | +| lumina2 | gemma 2 2B | +| wan | umt5 xxl | +| hidream | llama-3.1 (권장) 또는 t5 | +| omnigen2 | qwen vl 2.5 3B | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `clip` | 로드된 텍스트 인코더 모델로, 텍스트 인코딩 및 컨디셔닝을 위해 다른 노드에 연결할 준비가 되었습니다. | CLIP | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPLoader/ko.md) + +--- +**Source fingerprint (SHA-256):** `1051bfe5570dff81719682cb09938bae4c03e94e0e72f7a2be84867cccb48017` diff --git a/ko/built-in-nodes/ClipMergeAdd.mdx b/ko/built-in-nodes/ClipMergeAdd.mdx new file mode 100644 index 000000000..f0f332ab0 --- /dev/null +++ b/ko/built-in-nodes/ClipMergeAdd.mdx @@ -0,0 +1,26 @@ +--- +title: "CLIPMergeAdd - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPMergeAdd node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPMergeAdd" +icon: "circle" +mode: wide +--- +CLIPMergeAdd 노드는 두 개의 CLIP 모델을 결합하여 첫 번째 모델에 두 번째 모델의 패치를 추가합니다. 첫 번째 CLIP 모델의 복사본을 생성하고, 위치 ID 및 로짓 스케일 매개변수를 제외한 두 번째 모델의 주요 키 패치를 선택적으로 통합합니다. 이를 통해 기본 모델의 구조를 유지하면서 CLIP 모델 구성 요소를 병합할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `CLIP1` | 복제되어 병합의 기반이 되는 기본 CLIP 모델입니다. | CLIP | 예 | - | +| `CLIP2` | 기본 모델에 추가할 키 패치를 제공하는 보조 CLIP 모델입니다. | CLIP | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CLIP` | 기본 모델 구조에 보조 모델의 패치가 추가된 병합된 CLIP 모델입니다. | CLIP | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeAdd/ko.md) + +--- +**Source fingerprint (SHA-256):** `f212c2750f317ad51516a10a1a03a838b75bc878333381348d5eb388a2faf516` diff --git a/ko/built-in-nodes/ClipMergeSimple.mdx b/ko/built-in-nodes/ClipMergeSimple.mdx new file mode 100644 index 000000000..d47b58a9b --- /dev/null +++ b/ko/built-in-nodes/ClipMergeSimple.mdx @@ -0,0 +1,56 @@ +--- +title: "CLIPMergeSimple - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPMergeSimple node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPMergeSimple" +icon: "circle" +mode: wide +--- +다음은 요청하신 번역 결과입니다. + +--- + +`CLIPMergeSimple`은 지정된 비율에 따라 두 개의 CLIP 텍스트 인코더 모델을 결합하는 고급 모델 병합 노드입니다. + +이 노드는 지정된 비율에 따라 두 개의 CLIP 모델을 병합하여 특성을 효과적으로 혼합하는 데 특화되어 있습니다. 한 모델의 패치를 다른 모델에 선택적으로 적용하되, 위치 ID 및 로짓 스케일과 같은 특정 구성 요소는 제외하여 두 소스 모델의 특징을 결합한 하이브리드 모델을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `CLIP1` | 병합될 첫 번째 CLIP 모델입니다. 병합 과정의 기본 모델 역할을 합니다. | CLIP | 필수 | - | - | +| `CLIP2` | 병합될 두 번째 CLIP 모델입니다. 위치 ID 및 로짓 스케일을 제외한 주요 패치가 지정된 비율에 따라 첫 번째 모델에 적용됩니다. | CLIP | 필수 | - | - | +| `비율` | 두 번째 모델의 특징을 첫 번째 모델에 혼합할 비율을 결정합니다. 비율이 1.0이면 두 번째 모델의 특징을 완전히 채택하고, 0.0이면 첫 번째 모델의 특징만 유지합니다. | FLOAT | 필수 | 1.0 | 0.0 - 1.0 (단계: 0.01) | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `clip` | 지정된 비율에 따라 두 입력 모델의 특징을 통합한 결과 병합된 CLIP 모델입니다. | CLIP | + +## 병합 메커니즘 설명 + +### 병합 알고리즘 + +이 노드는 가중 평균을 사용하여 두 모델을 병합합니다. + +1. **기본 모델 복제**: 먼저 `clip1`을 기본 모델로 복제합니다. +2. **패치 획득**: `clip2`에서 모든 주요 패치를 가져옵니다. +3. **특수 키 필터링**: `.position_ids` 및 `.logit_scale`로 끝나는 키를 건너뜁니다. +4. **가중 병합 적용**: `(1.0 - ratio) * clip1 + ratio * clip2` 공식을 사용합니다. + +### 비율 매개변수 설명 + +- **ratio = 0.0**: `clip1`을 완전히 사용하고 `clip2`는 무시합니다. +- **ratio = 0.5**: 각 모델이 50%씩 기여합니다. +- **ratio = 1.0**: `clip2`를 완전히 사용하고 `clip1`은 무시합니다. + +## 사용 사례 + +1. **모델 스타일 융합**: 서로 다른 데이터로 학습된 CLIP 모델의 특성을 결합합니다. +2. **성능 최적화**: 서로 다른 모델의 장점과 단점의 균형을 맞춥니다. +3. **실험적 연구**: 다양한 CLIP 인코더의 조합을 탐색합니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSimple/ko.md) + +--- +**Source fingerprint (SHA-256):** `0d3c8388dbe88675ea7fb51161ab41ce898bcf63983b3d2817b16ec5bfa613e5` diff --git a/ko/built-in-nodes/ClipMergeSubtract.mdx b/ko/built-in-nodes/ClipMergeSubtract.mdx new file mode 100644 index 000000000..7a1c34b2c --- /dev/null +++ b/ko/built-in-nodes/ClipMergeSubtract.mdx @@ -0,0 +1,29 @@ +--- +title: "CLIPMergeSubtract - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPMergeSubtract node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPMergeSubtract" +icon: "circle" +mode: wide +--- +CLIPMergeSubtract 노드는 하나의 CLIP 모델에서 다른 모델의 가중치를 차감하여 모델 병합을 수행합니다. 첫 번째 모델을 복제한 후 두 번째 모델의 키 패치를 차감하여 새로운 CLIP 모델을 생성하며, 조정 가능한 승수를 통해 차감 강도를 제어할 수 있습니다. 이를 통해 기본 모델에서 특정 특성을 제거하여 세밀하게 조정된 모델 블렌딩이 가능합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `CLIP1` | 복제 및 수정될 기본 CLIP 모델입니다 | CLIP | 예 | - | +| `CLIP2` | 기본 모델에서 키 패치가 차감될 CLIP 모델입니다 | CLIP | 예 | - | +| `배율` | 차감 연산의 강도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | -10.0 ~ 10.0 | + +**참고:** 이 노드는 승수 값과 관계없이 `.position_ids` 및 `.logit_scale` 매개변수를 차감 연산에서 제외합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `clip` | 첫 번째 모델에서 두 번째 모델의 가중치를 차감한 결과로 생성된 CLIP 모델입니다 | CLIP | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSubtract/ko.md) + +--- +**Source fingerprint (SHA-256):** `3136cf509fcbfa291af8f820928a6cc14de7a586f953af0ada9bea949b437d86` diff --git a/ko/built-in-nodes/ClipSave.mdx b/ko/built-in-nodes/ClipSave.mdx new file mode 100644 index 000000000..bb2013fcb --- /dev/null +++ b/ko/built-in-nodes/ClipSave.mdx @@ -0,0 +1,45 @@ +--- +title: "CLIPSave - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPSave node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPSave" +icon: "circle" +mode: wide +--- +`CLIPSave` 노드는 CLIP 텍스트 인코더 모델을 SafeTensors 형식으로 디스크에 저장합니다. 고급 모델 병합 워크플로우를 위해 설계되었으며, 모델의 내부 구조에 따라 CLIP 모델을 구성 요소(예: CLIP-L, CLIP-G 또는 T5XXL)로 자동 분리하여 각 구성 요소를 별도의 파일로 저장합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `clip` | 저장할 CLIP 모델입니다. | CLIP | 필수 | - | - | +| `파일명 접두사` | 저장할 파일의 접두사 경로 및 파일 이름입니다. 노드는 구성 요소 접미사(예: `_clip_l`, `_clip_g`)와 카운터를 추가하여 고유한 파일 이름을 생성합니다. | STRING | 필수 | `clip/ComfyUI` | - | +| `prompt` | 워크플로우 프롬프트 정보로, 출력 파일에 메타데이터로 저장됩니다. | PROMPT | 숨김 | - | - | +| `extra_pnginfo` | 추가 메타데이터로, 출력 파일에 키-값 쌍으로 저장됩니다. | EXTRA_PNGINFO | 숨김 | - | - | + +## 출력 + +이 노드는 출력 연결이 없습니다. 처리된 파일을 `ComfyUI/output/` 디렉토리에 직접 저장합니다. + +### 저장된 파일 세부 정보 + +이 노드는 CLIP 모델의 상태 사전을 분석하고 감지된 각 구성 요소에 대해 별도의 SafeTensors 파일을 저장합니다. 구성 요소는 매개변수 키의 접두사로 식별됩니다. 다음 접두사가 확인됩니다: + +- `clip_l.` (CLIP-L 텍스트 인코더) +- `clip_g.` (CLIP-G 텍스트 인코더) +- `clip_h.` (CLIP-H 텍스트 인코더) +- `t5xxl.` (T5-XXL 텍스트 인코더) +- `pile_t5xl.` (Pile-T5-XL 텍스트 인코더) +- `mt5xl.` (mT5-XL 텍스트 인코더) +- `umt5xxl.` (UMT5-XXL 텍스트 인코더) +- `t5base.` (T5-Base 텍스트 인코더) +- `gemma2_2b.` (Gemma 2 2B 텍스트 인코더) +- `llama.` (LLaMA 텍스트 인코더) +- `hydit_clip.` (Hydit CLIP 텍스트 인코더) +- 빈 접두사 (기타 CLIP 구성 요소) + +감지된 각 구성 요소에 대해 노드는 `{filename_prefix}_{counter:05}_.safetensors` 형식의 파일을 생성하며, 여기서 구성 요소 접두사가 파일 이름 접두사에 추가됩니다(예: `clip/ComfyUI_clip_l_00001_.safetensors`). 저장 중에 `transformer.` 접두사는 매개변수 키에서 제거됩니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSave/ko.md) + +--- +**Source fingerprint (SHA-256):** `039b39cbfb9b04ccebc5fc885ebe75dfde14838530d38133d0a3a6311e392059` diff --git a/ko/built-in-nodes/ClipSetLastLayer.mdx b/ko/built-in-nodes/ClipSetLastLayer.mdx new file mode 100644 index 000000000..ed5d74c27 --- /dev/null +++ b/ko/built-in-nodes/ClipSetLastLayer.mdx @@ -0,0 +1,45 @@ +--- +title: "CLIPSetLastLayer - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPSetLastLayer node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPSetLastLayer" +icon: "circle" +mode: wide +--- +`CLIP Set Last Layer`는 CLIP 모델의 처리 깊이를 제어하는 ComfyUI의 핵심 노드입니다. 사용자가 CLIP 텍스트 인코더의 처리 중단 지점을 정밀하게 지정하여 텍스트 이해의 깊이와 생성되는 이미지 스타일에 영향을 줄 수 있습니다. + +CLIP 모델을 24개 층으로 이루어진 지능형 두뇌로 상상해 보세요. + +- 얕은 층(1~8): 기본적인 문자와 단어 인식 +- 중간 층(9~16): 문법과 문장 구조 이해 +- 깊은 층(17~24): 추상적인 개념과 복잡한 의미 파악 + +`CLIP Set Last Layer`는 **"사고 깊이 제어기"** 처럼 작동합니다. + +- -1: 24개 층 모두 사용 (완전한 이해) +- -2: 23번째 층에서 중단 (약간 단순화) +- -12: 13번째 층에서 중단 (중간 수준의 이해) +- -24: 1번째 층만 사용 (기본적인 이해) + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 수정할 CLIP 모델 | CLIP | 예 | - | +| `CLIP 레이어 중단점` | 중단할 층을 지정합니다. -1은 모든 층을 사용하고, -24는 첫 번째 층만 사용합니다 (기본값: -1) | INT | 예 | -24 ~ -1 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `clip` | 지정된 층이 마지막 층으로 설정된 수정된 CLIP 모델 | CLIP | + +## 마지막 층을 설정하는 이유 + +- **성능 최적화**: 간단한 문장을 이해하는 데 박사 학위가 필요하지 않은 것처럼, 때로는 얕은 이해만으로 충분하고 더 빠릅니다. +- **스타일 제어**: 이해 수준에 따라 다양한 예술적 스타일이 생성됩니다. +- **호환성**: 일부 모델은 특정 층에서 더 나은 성능을 보일 수 있습니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSetLastLayer/ko.md) + +--- +**Source fingerprint (SHA-256):** `82f3e7fb1d4c0bdd2b242a449085a5497ba8af8616d1800c5c0ee7a85ab42c15` diff --git a/ko/built-in-nodes/ClipTextEncode.mdx b/ko/built-in-nodes/ClipTextEncode.mdx new file mode 100644 index 000000000..75d9354f7 --- /dev/null +++ b/ko/built-in-nodes/ClipTextEncode.mdx @@ -0,0 +1,64 @@ +--- +title: "CLIPTextEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPTextEncode" +icon: "circle" +mode: wide +--- +`CLIP Text Encode (CLIPTextEncode)`는 번역기 역할을 수행하여, 사용자의 텍스트 설명을 AI가 이해할 수 있는 형식으로 변환합니다. 이를 통해 AI가 입력을 해석하고 원하는 이미지를 생성할 수 있도록 돕습니다. + +마치 다른 언어를 사용하는 아티스트와 소통하는 것과 같습니다. 방대한 이미지-텍스트 쌍으로 훈련된 CLIP 모델은 사용자의 설명을 AI 모델이 따를 수 있는 "명령어"로 변환하여 이러한 간극을 메워줍니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트 텍스트` | 인코딩할 텍스트입니다. 여러 줄 입력 및 동적 프롬프트를 지원합니다. | STRING | 예 | 모든 텍스트 | +| `clip` | 텍스트 인코딩에 사용되는 CLIP 모델입니다. | CLIP | 예 | 로드된 CLIP 모델 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 확산 모델을 안내하는 데 사용되는, 임베딩된 텍스트를 포함하는 컨디셔닝입니다. | CONDITIONING | + +## 프롬프트 기능 + +### 임베딩 모델 + +임베딩 모델을 사용하면 특정 예술적 효과나 스타일을 적용할 수 있습니다. 지원되는 형식은 `.safetensors`, `.pt`, `.bin`입니다. 임베딩 모델을 사용하려면 다음 단계를 따르십시오: + +1. 파일을 `ComfyUI/models/embeddings` 폴더에 넣습니다. +2. 텍스트에서 `embedding:모델_이름` 형식으로 참조합니다. + +예시: `ComfyUI/models/embeddings` 폴더에 `EasyNegative.pt`라는 모델이 있는 경우 다음과 같이 사용할 수 있습니다: + +``` +worst quality, embedding:EasyNegative, bad quality +``` + +**중요**: 임베딩 모델을 사용할 때는 파일 이름이 일치하고 모델 아키텍처와 호환되는지 확인하십시오. 예를 들어, SD1.5용으로 설계된 임베딩은 SDXL 모델에서 올바르게 작동하지 않습니다. + +### 프롬프트 가중치 조정 + +괄호를 사용하여 설명의 특정 부분에 대한 중요도를 조정할 수 있습니다. 예를 들어: + +- `(beautiful:1.2)`는 "beautiful"의 가중치를 증가시킵니다. +- `(beautiful:0.8)`는 "beautiful"의 가중치를 감소시킵니다. +- 일반 괄호 `(beautiful)`는 기본 가중치 1.1을 적용합니다. + +키보드 단축키 `ctrl + 위/아래 화살표`를 사용하여 가중치를 빠르게 조정할 수 있습니다. 가중치 조정 단계 크기는 설정에서 수정할 수 있습니다. + +가중치를 변경하지 않고 프롬프트에 문자 그대로의 괄호를 포함하려면 백슬래시를 사용하여 이스케이프 처리할 수 있습니다(예: `\(word\)`). + +### 와일드카드/동적 프롬프트 + +`{}`를 사용하여 동적 프롬프트를 만듭니다. 예를 들어, `{day|night|morning}`은 프롬프트가 처리될 때마다 옵션 중 하나를 무작위로 선택합니다. + +동적 동작을 트리거하지 않고 프롬프트에 문자 그대로의 중괄호를 포함하려면 백슬래시를 사용하여 이스케이프 처리할 수 있습니다(예: `\{word\}`). + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncode/ko.md) + +--- + +**Source fingerprint (SHA-256):** `e8f286cdec879c529270e110ccf5959ed6df77737cfb5a8019379afac9266118` diff --git a/ko/built-in-nodes/ClipTextEncodeControlnet.mdx b/ko/built-in-nodes/ClipTextEncodeControlnet.mdx new file mode 100644 index 000000000..9850a1ab1 --- /dev/null +++ b/ko/built-in-nodes/ClipTextEncodeControlnet.mdx @@ -0,0 +1,29 @@ +--- +title: "CLIPTextEncodeControlnet - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeControlnet node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPTextEncodeControlnet" +icon: "circle" +mode: wide +--- +CLIPTextEncodeControlnet 노드는 CLIP 모델을 사용하여 텍스트 입력을 처리하고, 이를 기존 컨디셔닝 데이터와 결합하여 컨트롤넷 애플리케이션을 위한 향상된 컨디셔닝 출력을 생성합니다. 입력 텍스트를 토큰화하고 CLIP 모델을 통해 인코딩한 후, 결과 임베딩을 제공된 컨디셔닝 데이터에 크로스 어텐션 컨트롤넷 매개변수로 추가합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 텍스트 토큰화 및 인코딩에 사용되는 CLIP 모델 | CLIP | 예 | - | +| `조건` | 컨트롤넷 매개변수로 보강할 기존 컨디셔닝 데이터 | CONDITIONING | 예 | - | +| `프롬프트 텍스트` | CLIP 모델로 처리할 텍스트 입력. 여러 줄 텍스트 및 동적 프롬프트 지원 | STRING | 예 | - | + +**참고:** 이 노드는 세 가지 입력(`clip`, `conditioning`, `text`)이 모두 있어야 올바르게 작동합니다. `text` 입력은 유연한 텍스트 처리를 위해 동적 프롬프트와 여러 줄 텍스트를 지원합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | CLIP 텍스트 인코딩에서 파생된 컨트롤넷 크로스 어텐션 매개변수(`cross_attn_controlnet` 및 `pooled_output_controlnet`)가 추가된 향상된 컨디셔닝 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeControlnet/ko.md) + +--- +**Source fingerprint (SHA-256):** `dd6f68d822cc38e27c826b634c938d62e07b075e18a0f46f80b462aecca0b70b` diff --git a/ko/built-in-nodes/ClipTextEncodeFlux.mdx b/ko/built-in-nodes/ClipTextEncodeFlux.mdx new file mode 100644 index 000000000..cf361cd23 --- /dev/null +++ b/ko/built-in-nodes/ClipTextEncodeFlux.mdx @@ -0,0 +1,28 @@ +--- +title: "CLIPTextEncodeFlux - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeFlux node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPTextEncodeFlux" +icon: "circle" +mode: wide +--- +`CLIPTextEncodeFlux`는 Flux 아키텍처를 위해 설계된 고급 텍스트 인코딩 노드입니다. 두 개의 개별 텍스트 입력을 CLIP-L과 T5XXL이라는 서로 다른 인코더를 통해 처리하고, 이를 안내 척도(guidance scale)와 결합하여 이미지 생성을 위한 통합 컨디셔닝 출력을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | CLIP-L 및 T5XXL 인코더를 모두 포함하는 Flux 아키텍처를 지원하는 CLIP 모델입니다. | CLIP | 예 | - | +| `clip-l 프롬프트` | CLIP-L 인코더로 처리되는 텍스트 입력입니다. 스타일이나 테마와 같은 간결한 키워드 설명에 적합합니다. 여러 줄 입력 및 동적 프롬프트를 지원합니다. | STRING | 예 | - | +| `t5xxl 프롬프트` | T5XXL 인코더로 처리되는 텍스트 입력입니다. 복잡한 장면과 세부 사항을 표현하는 상세한 자연어 설명에 적합합니다. 여러 줄 입력 및 동적 프롬프트를 지원합니다. | STRING | 예 | - | +| `가이던스` | 생성 과정에 대한 텍스트 조건의 영향을 제어합니다. 값이 높을수록 텍스트에 더 엄격하게 따릅니다. 기본값: 3.5. | FLOAT | 예 | 0.0 - 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 두 인코더의 융합된 임베딩과 안내 매개변수를 포함하며, 조건부 이미지 생성에 사용됩니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeFlux/ko.md) + +--- +**Source fingerprint (SHA-256):** `f168610123410a44f9c5c5c18773603bd47bc7b44b21e65910a6026f86d7eb04` diff --git a/ko/built-in-nodes/ClipTextEncodeHiDream.mdx b/ko/built-in-nodes/ClipTextEncodeHiDream.mdx new file mode 100644 index 000000000..ef25afd5c --- /dev/null +++ b/ko/built-in-nodes/ClipTextEncodeHiDream.mdx @@ -0,0 +1,31 @@ +--- +title: "CLIPTextEncodeHiDream - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeHiDream node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPTextEncodeHiDream" +icon: "circle" +mode: wide +--- +CLIPTextEncodeHiDream 노드는 CLIP-L, CLIP-G, T5-XXL 및 LLaMA 등 서로 다른 언어 모델을 사용하여 네 개의 개별 텍스트 입력을 처리하고, 이를 단일 컨디셔닝 출력으로 결합합니다. 각 텍스트 입력을 해당 모델로 토큰화하고, 예약된 인코딩 방식을 사용하여 함께 인코딩함으로써 여러 언어 모델을 동시에 활용하여 더 정교한 텍스트 컨디셔닝을 가능하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 토큰화 및 인코딩에 사용되는 CLIP 모델입니다. | CLIP | 예 | - | +| `clip-l 프롬프트` | CLIP-L 모델 처리를 위한 텍스트 입력입니다. 여러 줄 텍스트 및 동적 프롬프트를 지원합니다. | STRING | 예 | - | +| `clip-g 프롬프트` | CLIP-G 모델 처리를 위한 텍스트 입력입니다. 여러 줄 텍스트 및 동적 프롬프트를 지원합니다. | STRING | 예 | - | +| `t5xxl 프롬프트` | T5-XXL 모델 처리를 위한 텍스트 입력입니다. 여러 줄 텍스트 및 동적 프롬프트를 지원합니다. | STRING | 예 | - | +| `llama 프롬프트` | LLaMA 모델 처리를 위한 텍스트 입력입니다. 여러 줄 텍스트 및 동적 프롬프트를 지원합니다. | STRING | 예 | - | + +**참고:** 네 개의 텍스트 입력(`clip_l`, `clip_g`, `t5xxl`, `llama`)은 모두 정상 작동에 필수적입니다. 각 입력은 예약된 인코딩 과정을 통해 최종 컨디셔닝 출력에 기여합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 예약된 인코딩 방식을 사용하여 인코딩된, 처리된 모든 텍스트 입력의 결합된 컨디셔닝 출력입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/ko.md) + +--- +**Source fingerprint (SHA-256):** `51d117d82a9d833f095e874bf442d5cf8c46a12313fda6b98e628fa988797565` diff --git a/ko/built-in-nodes/ClipTextEncodeHunyuanDiT.mdx b/ko/built-in-nodes/ClipTextEncodeHunyuanDiT.mdx new file mode 100644 index 000000000..18a84e36c --- /dev/null +++ b/ko/built-in-nodes/ClipTextEncodeHunyuanDiT.mdx @@ -0,0 +1,27 @@ +--- +title: "CLIPTextEncodeHunyuanDiT - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeHunyuanDiT node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPTextEncodeHunyuanDiT" +icon: "circle" +mode: wide +--- +`CLIPTextEncodeHunyuanDiT` 노드는 텍스트 설명을 HunyuanDiT 모델이 이해할 수 있는 형식으로 변환합니다. 이는 HunyuanDiT의 이중 텍스트 인코더 아키텍처를 위해 설계된 고급 컨디셔닝 노드로, 서로 다른 토크나이저를 통해 두 개의 개별 텍스트 입력을 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 텍스트 토큰화 및 인코딩에 사용되는 CLIP 모델 인스턴스로, 컨디셔닝 생성의 핵심입니다. | CLIP | 예 | - | +| `bert 프롬프트` | BERT 토크나이저를 통해 인코딩할 텍스트 입력입니다. 구문과 키워드를 선호하며, 여러 줄 및 동적 프롬프트를 지원합니다. | STRING | 예 | - | +| `mt5xl 프롬프트` | mT5-XL 토크나이저를 통해 인코딩할 텍스트 입력입니다. 여러 줄 및 동적 프롬프트(다국어)를 지원하며, 완전한 문장과 복잡한 설명을 사용할 수 있습니다. | STRING | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | BERT와 mT5-XL로 토큰화된 텍스트를 결합한 인코딩된 컨디셔닝 출력으로, 생성 작업에서 추가 처리를 위해 사용됩니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHunyuanDiT/ko.md) + +--- +**Source fingerprint (SHA-256):** `6a8d649708b315c42b7933b52fad7e0b45aa34c168616f18a2178041148eeea1` diff --git a/ko/built-in-nodes/ClipTextEncodeKandinsky5.mdx b/ko/built-in-nodes/ClipTextEncodeKandinsky5.mdx new file mode 100644 index 000000000..4c93f49a8 --- /dev/null +++ b/ko/built-in-nodes/ClipTextEncodeKandinsky5.mdx @@ -0,0 +1,27 @@ +--- +title: "CLIPTextEncodeKandinsky5 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeKandinsky5 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPTextEncodeKandinsky5" +icon: "circle" +mode: wide +--- +CLIPTextEncodeKandinsky5 노드는 Kandinsky 5 모델과 함께 사용할 텍스트 프롬프트를 준비합니다. 두 개의 개별 텍스트 입력을 받아 제공된 CLIP 모델을 사용하여 토큰화하고, 이를 단일 조건부 출력으로 결합합니다. 이 출력은 이미지 생성 과정을 안내하는 데 사용됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 텍스트 프롬프트를 토큰화하고 인코딩하는 데 사용되는 CLIP 모델입니다. | CLIP | 예 | | +| `clip_l` | 기본 텍스트 프롬프트입니다. 이 입력은 여러 줄 텍스트와 동적 프롬프트를 지원합니다. | STRING | 예 | | +| `qwen25_7b` | 보조 텍스트 프롬프트입니다. 이 입력은 여러 줄 텍스트와 동적 프롬프트를 지원합니다. | STRING | 예 | | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 두 텍스트 프롬프트에서 생성된 결합된 조건부 데이터로, Kandinsky 5 모델에 입력하여 이미지 생성을 수행할 준비가 되었습니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeKandinsky5/ko.md) + +--- +**Source fingerprint (SHA-256):** `80227cf87d46bfa42b07976ab29996ae9583a4c461b2f2408db4b7016d3e1a0c` diff --git a/ko/built-in-nodes/ClipTextEncodeLumina2.mdx b/ko/built-in-nodes/ClipTextEncodeLumina2.mdx new file mode 100644 index 000000000..d5db45928 --- /dev/null +++ b/ko/built-in-nodes/ClipTextEncodeLumina2.mdx @@ -0,0 +1,29 @@ +--- +title: "CLIPTextEncodeLumina2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeLumina2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPTextEncodeLumina2" +icon: "circle" +mode: wide +--- +CLIP 텍스트 인코딩 for Lumina2 노드는 CLIP 모델을 사용하여 시스템 프롬프트와 사용자 프롬프트를 인코딩하여 확산 모델이 특정 이미지를 생성하도록 안내하는 임베딩을 생성합니다. 사전 정의된 시스템 프롬프트를 사용자 정의 텍스트 프롬프트와 결합하여 CLIP 모델을 통해 처리함으로써 이미지 생성을 위한 컨디셔닝 데이터를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `system_prompt` | Lumina2는 두 가지 유형의 시스템 프롬프트를 제공합니다. "superior"는 우수한 이미지-텍스트 정렬을 가진 이미지를 생성하고, "alignment"는 가장 높은 수준의 이미지-텍스트 정렬을 가진 고품질 이미지를 생성합니다. | STRING | 예 | `"superior"`
`"alignment"` | +| `user_prompt` | 인코딩할 텍스트입니다. 여러 줄 입력 및 동적 프롬프트를 지원합니다. | STRING | 예 | 해당 없음 | +| `clip` | 텍스트 인코딩에 사용되는 CLIP 모델입니다. | CLIP | 예 | 해당 없음 | + +**참고:** `clip` 입력은 필수이며 None일 수 없습니다. clip 입력이 유효하지 않은 경우, 노드는 체크포인트에 유효한 CLIP 또는 텍스트 인코더 모델이 포함되지 않았음을 나타내는 오류를 발생시킵니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 확산 모델을 안내하는 데 사용되는 임베딩된 텍스트가 포함된 컨디셔닝입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/ko.md) + +--- +**Source fingerprint (SHA-256):** `fcc0802180ffc2c0757b395850d54632da011473da0c6b1c5268b42da3747024` diff --git a/ko/built-in-nodes/ClipTextEncodePixArtAlpha.mdx b/ko/built-in-nodes/ClipTextEncodePixArtAlpha.mdx new file mode 100644 index 000000000..0b8250286 --- /dev/null +++ b/ko/built-in-nodes/ClipTextEncodePixArtAlpha.mdx @@ -0,0 +1,28 @@ +--- +title: "CLIPTextEncodePixArtAlpha - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodePixArtAlpha node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPTextEncodePixArtAlpha" +icon: "circle" +mode: wide +--- +텍스트를 인코딩하고 PixArt Alpha의 해상도 조건을 설정합니다. 이 노드는 텍스트 입력을 처리하고 너비 및 높이 정보를 추가하여 PixArt Alpha 모델 전용 조건 데이터를 생성합니다. PixArt Sigma 모델에는 적용되지 않습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `너비` | 해상도 조건 설정을 위한 너비 값 (기본값: 1024) | INT | 예 | 0 ~ MAX_RESOLUTION | +| `높이` | 해상도 조건 설정을 위한 높이 값 (기본값: 1024) | INT | 예 | 0 ~ MAX_RESOLUTION | +| `프롬프트 텍스트` | 인코딩할 텍스트 입력으로, 여러 줄 입력 및 동적 프롬프트를 지원합니다 | STRING | 예 | - | +| `clip` | 토큰화 및 인코딩에 사용되는 CLIP 모델입니다 | CLIP | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 텍스트 토큰과 해상도 정보가 포함된 인코딩된 조건 데이터입니다 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/ko.md) + +--- +**Source fingerprint (SHA-256):** `d15df3c7bcca10ec85f0689d6631a6b89aa89e609193c36b658b1bc97f90ee9a` diff --git a/ko/built-in-nodes/ClipTextEncodeSD3.mdx b/ko/built-in-nodes/ClipTextEncodeSD3.mdx new file mode 100644 index 000000000..d5cd8f4a9 --- /dev/null +++ b/ko/built-in-nodes/ClipTextEncodeSD3.mdx @@ -0,0 +1,35 @@ +--- +title: "CLIPTextEncodeSD3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeSD3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPTextEncodeSD3" +icon: "circle" +mode: wide +--- +CLIPTextEncodeSD3 노드는 여러 개의 텍스트 프롬프트를 서로 다른 CLIP 모델을 사용하여 인코딩함으로써 Stable Diffusion 3 모델용 텍스트 입력을 처리합니다. 이 노드는 세 개의 개별 텍스트 입력(`clip_g`, `clip_l`, `t5xxl`)을 처리하며, 빈 텍스트 패딩을 관리하기 위한 옵션을 제공합니다. 또한, 서로 다른 텍스트 입력 간의 적절한 토큰 정렬을 보장하고 SD3 생성 파이프라인에 적합한 컨디셔닝 데이터를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 텍스트 인코딩에 사용되는 CLIP 모델입니다. | CLIP | 예 | - | +| `clip-l 프롬프트` | 로컬 CLIP 모델용 텍스트 입력입니다. 여러 줄 텍스트와 동적 프롬프트를 지원합니다. | STRING | 예 | - | +| `clip-g 프롬프트` | 전역 CLIP 모델용 텍스트 입력입니다. 여러 줄 텍스트와 동적 프롬프트를 지원합니다. | STRING | 예 | - | +| `t5xxl` | T5-XXL 모델용 텍스트 입력입니다. 여러 줄 텍스트와 동적 프롬프트를 지원합니다. | STRING | 예 | - | +| `빈_패딩` | 빈 텍스트 입력이 처리되는 방식을 제어합니다. "none"으로 설정하면 `clip-g 프롬프트`, `clip-l 프롬프트` 또는 `t5xxl`에 대한 빈 텍스트 입력이 패딩 대신 빈 토큰 목록이 됩니다. 고급 매개변수입니다(기본값: "none"). | COMBO | 예 | `"none"`
`"empty_prompt"` | + +**매개변수 제약 조건:** + +- `empty_padding`이 "none"으로 설정된 경우, `clip_g`, `clip_l` 또는 `t5xxl`에 대한 빈 텍스트 입력은 패딩 대신 빈 토큰 목록이 됩니다. +- 이 노드는 `clip_l`과 `clip_g` 입력 간의 토큰 길이를 자동으로 균형 맞춥니다. 길이가 다를 경우, 더 짧은 쪽을 빈 토큰으로 패딩합니다. +- 모든 텍스트 입력은 동적 프롬프트와 여러 줄 텍스트 입력을 지원합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | SD3 생성 파이프라인에서 사용할 준비가 된 인코딩된 텍스트 컨디셔닝 데이터입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSD3/ko.md) + +--- +**Source fingerprint (SHA-256):** `38f7538d05fe48e74f41f265550b83906b2f0c5d31f0783f6859f4df7b5cb9d3` diff --git a/ko/built-in-nodes/ClipTextEncodeSDXL.mdx b/ko/built-in-nodes/ClipTextEncodeSDXL.mdx new file mode 100644 index 000000000..ead566b5b --- /dev/null +++ b/ko/built-in-nodes/ClipTextEncodeSDXL.mdx @@ -0,0 +1,30 @@ +--- +title: "CLIPTextEncodeSDXL - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeSDXL node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPTextEncodeSDXL" +icon: "circle" +mode: wide +--- +이 노드는 SDXL 아키텍처에 특화된 CLIP 모델을 사용하여 텍스트 입력을 인코딩하도록 설계되었습니다. 이중 인코더 시스템(CLIP-L 및 CLIP-G)을 활용하여 텍스트 설명을 처리함으로써 보다 정확한 이미지 생성을 가능하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `clip` | 텍스트 인코딩에 사용되는 CLIP 모델 인스턴스입니다. | CLIP | +| `너비` | 이미지 너비를 픽셀 단위로 지정하며, 기본값은 1024입니다. | INT | +| `높이` | 이미지 높이를 픽셀 단위로 지정하며, 기본값은 1024입니다. | INT | +| `크롭 너비` | 자르기 영역의 너비를 픽셀 단위로 지정하며, 기본값은 0입니다. | INT | +| `크롭 높이` | 자르기 영역의 높이를 픽셀 단위로 지정하며, 기본값은 0입니다. | INT | +| `목표 너비` | 출력 이미지의 목표 너비를 지정하며, 기본값은 1024입니다. | INT | +| `목표 높이` | 출력 이미지의 목표 높이를 지정하며, 기본값은 1024입니다. | INT | +| `clip-g 프롬프트` | 전체 장면 설명을 위한 전역 텍스트 설명입니다. | STRING | +| `clip-l 프롬프트` | 세부 묘사를 위한 지역 텍스트 설명입니다. | STRING | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 이미지 생성에 필요한 인코딩된 텍스트 및 조건 정보를 포함합니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSDXL/ko.md) diff --git a/ko/built-in-nodes/ClipTextEncodeSDXLRefiner.mdx b/ko/built-in-nodes/ClipTextEncodeSDXLRefiner.mdx new file mode 100644 index 000000000..8e4d63683 --- /dev/null +++ b/ko/built-in-nodes/ClipTextEncodeSDXLRefiner.mdx @@ -0,0 +1,47 @@ +--- +title: "CLIPTextEncodeSDXLRefiner - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeSDXLRefiner node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPTextEncodeSDXLRefiner" +icon: "circle" +mode: wide +--- +이 노드는 SDXL Refiner 모델을 위해 특별히 설계되어, 미적 점수와 차원 정보를 통합하여 텍스트 프롬프트를 조건 정보로 변환함으로써 생성 작업의 조건을 강화하고 최종 정제 효과를 개선합니다. 이는 전문 아트 디렉터처럼 작동하여 창작 의도를 전달할 뿐만 아니라 작품에 정밀한 미적 기준과 사양 요구 사항을 주입합니다. + +## SDXL Refiner 정보 + +SDXL Refiner는 SDXL 기본 모델을 기반으로 이미지 세부 사항과 품질을 향상시키는 데 특화된 정제 모델입니다. 이 과정은 이미지 리터처가 있는 것과 같습니다: + +1. 먼저 기본 모델이 생성한 초기 이미지 또는 텍스트 설명을 수신합니다 +2. 그런 다음 정밀한 미적 점수와 차원 매개변수를 통해 정제 과정을 안내합니다 +3. 마지막으로 이미지의 고주파 세부 사항 처리에 집중하여 전반적인 품질을 개선합니다 + +Refiner는 두 가지 방식으로 사용할 수 있습니다: + +- 기본 모델이 생성한 이미지를 후처리하는 독립적인 정제 단계로 사용 +- 전문가 통합 시스템의 일부로, 생성의 저잡음 단계에서 처리를 인계받는 방식으로 사용 + +## 입력 + +| 매개변수 이름 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 값 범위 | +| --- | --- | --- | --- | --- | --- | +| `clip` | 텍스트 토큰화 및 인코딩에 사용되는 CLIP 모델 인스턴스로, 텍스트를 모델이 이해할 수 있는 형식으로 변환하는 핵심 구성 요소입니다 | CLIP | 필수 | - | - | +| `ascore` | 생성된 이미지의 시각적 품질과 미적 수준을 제어하며, 작품의 품질 기준을 설정하는 것과 유사합니다:
- 높은 점수(7.5-8.5): 더 정교하고 디테일이 풍부한 효과 추구
- 중간 점수(6.0-7.0): 균형 잡힌 품질 제어
- 낮은 점수(2.0-3.0): 네거티브 프롬프트에 적합 | FLOAT | 선택 | 6.0 | 0.0-1000.0 | +| `너비` | 출력 이미지 너비(픽셀)를 지정하며, 8의 배수여야 합니다. SDXL은 총 픽셀 수가 1024×1024(약 100만 픽셀)에 가까울 때 최상의 성능을 발휘합니다 | INT | 필수 | 1024 | 64-16384 | +| `높이` | 출력 이미지 높이(픽셀)를 지정하며, 8의 배수여야 합니다. SDXL은 총 픽셀 수가 1024×1024(약 100만 픽셀)에 가까울 때 최상의 성능을 발휘합니다 | INT | 필수 | 1024 | 64-16384 | +| `텍스트` | 텍스트 프롬프트 설명으로, 여러 줄 입력 및 동적 프롬프트 구문을 지원합니다. Refiner에서는 텍스트 프롬프트가 원하는 시각적 품질과 디테일 특성을 설명하는 데 더 중점을 두어야 합니다 | STRING | 필수 | - | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 텍스트 의미, 미적 기준 및 차원 정보의 통합 인코딩을 포함하는 정제된 조건 출력으로, SDXL Refiner 모델이 정밀한 이미지 정제를 수행하도록 안내하는 데 특화되어 있습니다 | CONDITIONING | + +## 참고 사항 + +1. 이 노드는 SDXL Refiner 모델에 특별히 최적화되어 있으며 일반 CLIPTextEncode 노드와 다릅니다 +2. 미적 점수 7.5를 기준선으로 권장하며, 이는 SDXL 학습에 사용된 표준 설정입니다 +3. 모든 차원 매개변수는 8의 배수여야 하며, 총 픽셀 수는 1024×1024(약 100만 픽셀)에 가깝게 설정하는 것이 좋습니다 +4. Refiner 모델은 이미지 세부 사항과 품질 향상에 중점을 두므로, 텍스트 프롬프트는 장면 내용보다는 원하는 시각적 효과를 강조해야 합니다 +5. 실제 사용 시 Refiner는 일반적으로 생성 후반부(약 마지막 20% 단계)에서 사용되어 세부 사항 최적화에 집중합니다 + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSDXLRefiner/ko.md) diff --git a/ko/built-in-nodes/ClipVisionEncode.mdx b/ko/built-in-nodes/ClipVisionEncode.mdx new file mode 100644 index 000000000..abd277c3e --- /dev/null +++ b/ko/built-in-nodes/ClipVisionEncode.mdx @@ -0,0 +1,37 @@ +--- +title: "CLIPVisionEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPVisionEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPVisionEncode" +icon: "circle" +mode: wide +--- +`CLIP Vision Encode` 노드는 ComfyUI의 이미지 인코딩 노드로, CLIP Vision 모델을 통해 입력 이미지를 시각적 특징 벡터로 변환합니다. 이 노드는 이미지와 텍스트 이해를 연결하는 중요한 브릿지 역할을 하며, 다양한 AI 이미지 생성 및 처리 워크플로우에서 널리 사용됩니다. + +**노드 기능** + +- **이미지 특징 추출**: 입력 이미지를 고차원 특징 벡터로 변환합니다. +- **멀티모달 연결**: 이미지와 텍스트의 공동 처리를 위한 기반을 제공합니다. +- **조건부 생성**: 이미지 기반 조건부 생성을 위한 시각적 조건을 제공합니다. + +## 입력 + +| 매개변수명 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `clip_vision` | CLIP Vision 모델로, 일반적으로 CLIPVisionLoader 노드를 통해 로드됩니다. | CLIP_VISION | +| `이미지` | 인코딩할 입력 이미지입니다. | IMAGE | +| `자르기 방법` | 이미지 자르기 방법입니다. 옵션: center (중앙 자르기), none (자르지 않음) | 드롭다운 | + +## 출력 + +| 출력명 | 설명 | 데이터 타입 | +| --- | --- | --- | +| CLIP_VISION_OUTPUT | 인코딩된 시각적 특징입니다. | CLIP_VISION_OUTPUT | + +이 출력 객체에는 다음이 포함됩니다: + +- `last_hidden_state`: 마지막 은닉 상태 +- `image_embeds`: 이미지 임베딩 벡터 +- `penultimate_hidden_states`: 마지막에서 두 번째 은닉 상태 +- `mm_projected`: 멀티모달 투영 결과 (사용 가능한 경우) + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPVisionEncode/ko.md) diff --git a/ko/built-in-nodes/ClipVisionLoader.mdx b/ko/built-in-nodes/ClipVisionLoader.mdx new file mode 100644 index 000000000..66285321b --- /dev/null +++ b/ko/built-in-nodes/ClipVisionLoader.mdx @@ -0,0 +1,22 @@ +--- +title: "CLIPVisionLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPVisionLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CLIPVisionLoader" +icon: "circle" +mode: wide +--- +이 노드는 `ComfyUI/models/clip_vision` 폴더에 있는 모델과 `extra_model_paths.yaml` 파일에 설정된 추가 모델 경로를 자동으로 감지합니다. ComfyUI를 시작한 후 모델을 추가한 경우, 최신 모델 파일이 목록에 표시되도록 **ComfyUI 인터페이스를 새로고침**해 주십시오. + +## 입력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `CLIP 파일명` | `ComfyUI/models/clip_vision` 폴더에 있는 지원되는 모든 모델 파일을 나열합니다. | COMBO[STRING] | + +## 출력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `clip_vision` | 로드된 CLIP Vision 모델로, 이미지 인코딩 또는 기타 비전 관련 작업에 사용할 준비가 되었습니다. | CLIP_VISION | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPVisionLoader/ko.md) diff --git a/ko/built-in-nodes/ColorToRGBInt.mdx b/ko/built-in-nodes/ColorToRGBInt.mdx new file mode 100644 index 000000000..5e520dd45 --- /dev/null +++ b/ko/built-in-nodes/ColorToRGBInt.mdx @@ -0,0 +1,27 @@ +--- +title: "ColorToRGBInt - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ColorToRGBInt node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ColorToRGBInt" +icon: "circle" +mode: wide +--- +ColorToRGBInt 노드는 16진수 형식으로 지정된 색상을 단일 정수 값으로 변환합니다. `#FF5733`과 같은 색상 문자열을 입력받아 빨간색, 녹색, 파란색 구성 요소를 결합하여 해당 RGB 정수를 계산합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `색상` | `#RRGGBB` 형식의 16진수 색상 값입니다. | STRING | 예 | 해당 없음 | + +**참고:** 입력 `color` 문자열은 정확히 7자 길이여야 하며 `#` 기호로 시작하고 그 뒤에 6개의 16진수 숫자가 와야 합니다(예: 빨간색의 경우 `#FF0000`). 형식이 올바르지 않으면 노드에서 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `rgb_int` | 계산된 RGB 정수 값입니다. 이 값은 `(Red * 65536) + (Green * 256) + Blue` 공식에서 파생됩니다. | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/ko.md) + +--- +**Source fingerprint (SHA-256):** `5b8617d6b28caaa5f01dad1c6a302fa321f1bd53a0454451d468e36747e70e8f` diff --git a/ko/built-in-nodes/ColorTransfer.mdx b/ko/built-in-nodes/ColorTransfer.mdx new file mode 100644 index 000000000..b16c3a2cf --- /dev/null +++ b/ko/built-in-nodes/ColorTransfer.mdx @@ -0,0 +1,43 @@ +--- +title: "ColorTransfer - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ColorTransfer node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ColorTransfer" +icon: "circle" +mode: wide +--- +# ColorTransfer (색상 전송) + +ColorTransfer 노드는 대상 이미지의 색상 팔레트를 참조 이미지의 색상과 일치하도록 조정합니다. 밝기, 대비, 색조 분포와 같은 색상 특성을 분석하고 전송하기 위해 다양한 수학적 알고리즘을 사용합니다. 이는 여러 이미지 간의 시각적 일관성을 만들거나 특정 색상 그레이드를 적용하는 데 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `image_target` | 색상 변환을 적용할 이미지입니다. | IMAGE | 예 | - | +| `image_ref` | 색상을 일치시킬 참조 이미지입니다. | IMAGE | 예 | - | +| `method` | 사용할 색상 전송 알고리즘입니다. | COMBO | 예 | `"reinhard_lab"`
`"mkl_lab"`
`"histogram"` | +| `source_stats` | 소스(대상) 이미지에서 색상 통계를 계산하는 방식을 결정합니다. | DYNAMICCOMBO | 예 | `"per_frame"`
`"uniform"`
`"target_frame"` | +| `strength` | 색상 전송 효과의 강도입니다. 1.0 값은 전체 변환을 적용하며, 0.0은 원본 이미지를 반환합니다. 기본값: 1.0 | FLOAT | 예 | 0.0 ~ 10.0 | + +**매개변수 세부 설명:** +* **`source_stats` 옵션:** + * **`per_frame`**: 배치의 각 프레임이 `image_ref`에 개별적으로 일치됩니다. + * **`uniform`**: 모든 소스 프레임의 색상 통계가 통합되어 단일 기준선이 생성된 후 `image_ref`에 일치됩니다. + * **`target_frame`**: 대상 배치에서 선택된 하나의 프레임을 `image_ref`에 대한 변환 계산의 기준선으로 사용합니다. 이 변환은 모든 프레임에 균일하게 적용되어 프레임 간의 상대적인 색상 차이를 유지합니다. 이 옵션을 선택하면 추가 `target_index` 매개변수가 활성화됩니다. +* **`target_index`** (`source_stats`가 `"target_frame"`일 때 나타남): 변환 계산을 위한 소스 기준선으로 사용되는 프레임 인덱스(0부터 시작)입니다. 기본값: 0. 0에서 10000 사이여야 합니다. + +**제약 사항:** +* `strength`가 0.0으로 설정되거나 `image_ref`가 `None`인 경우, 노드는 처리 없이 원본 `image_target`을 반환합니다. +* `source_stats`가 `"target_frame"`으로 설정된 경우, `target_index`는 `image_target` 배치 내의 유효한 인덱스여야 합니다. 프레임 수를 초과하면 마지막 프레임이 사용됩니다. +* `histogram` 방법과 `source_stats`가 `"per_frame"`으로 설정된 경우, `image_ref`의 배치 크기가 1보다 크면 각 대상 프레임이 인덱스별로 해당 참조 프레임에 일치됩니다. 참조 배치에 프레임이 하나만 있는 경우 모든 대상 프레임에 해당 프레임이 사용됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 색상 전송이 적용된 후의 결과 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorTransfer/ko.md) + +--- +**Source fingerprint (SHA-256):** `93a8447def4d2263a8a859c0474de694e6567dc6d32377032c2ddae2420bb10c` diff --git a/ko/built-in-nodes/CombineHooks.mdx b/ko/built-in-nodes/CombineHooks.mdx new file mode 100644 index 000000000..dd6eb71dd --- /dev/null +++ b/ko/built-in-nodes/CombineHooks.mdx @@ -0,0 +1,30 @@ +--- +title: "CombineHooks - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CombineHooks node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CombineHooks" +icon: "circle" +mode: wide +--- +# Combine Hooks [2] 노드 + +Combine Hooks [2] 노드는 두 개의 훅 그룹을 하나의 결합된 훅 그룹으로 병합합니다. 두 개의 선택적 훅 입력을 받아 ComfyUI의 훅 결합 기능을 사용하여 결합합니다. 이를 통해 여러 훅 구성을 통합하여 간소화된 처리가 가능합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `hooks_A` | 결합할 첫 번째 훅 그룹 | HOOKS | 아니요 | - | +| `hooks_B` | 결합할 두 번째 훅 그룹 | HOOKS | 아니요 | - | + +**참고:** 두 입력 모두 선택 사항이지만, 노드가 작동하려면 최소한 하나의 훅 그룹이 제공되어야 합니다. 하나의 훅 그룹만 제공된 경우, 변경 없이 그대로 반환됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `hooks` | 두 입력 그룹의 모든 훅을 포함하는 결합된 훅 그룹 | HOOKS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooks/ko.md) + +--- +**Source fingerprint (SHA-256):** `558ceef1cebedd0b7e045b7d1eb1afa4316ea6a3c35f982968af132dca164126` diff --git a/ko/built-in-nodes/CombineHooksEight.mdx b/ko/built-in-nodes/CombineHooksEight.mdx new file mode 100644 index 000000000..15b563a22 --- /dev/null +++ b/ko/built-in-nodes/CombineHooksEight.mdx @@ -0,0 +1,36 @@ +--- +title: "CombineHooksEight - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CombineHooksEight node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CombineHooksEight" +icon: "circle" +mode: wide +--- +# Combine Hooks [8] 노드 + +Combine Hooks [8] 노드는 최대 8개의 서로 다른 훅 그룹을 하나의 결합된 훅 그룹으로 병합합니다. 여러 훅 입력을 받아 ComfyUI의 훅 결합 기능을 사용하여 이를 통합합니다. 이를 통해 고급 워크플로우에서 여러 훅 구성을 통합하여 효율적으로 처리할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `hooks_A` | 결합할 첫 번째 훅 그룹 | HOOKS | 선택적 | None | - | +| `hooks_B` | 결합할 두 번째 훅 그룹 | HOOKS | 선택적 | None | - | +| `hooks_C` | 결합할 세 번째 훅 그룹 | HOOKS | 선택적 | None | - | +| `hooks_D` | 결합할 네 번째 훅 그룹 | HOOKS | 선택적 | None | - | +| `hooks_E` | 결합할 다섯 번째 훅 그룹 | HOOKS | 선택적 | None | - | +| `hooks_F` | 결합할 여섯 번째 훅 그룹 | HOOKS | 선택적 | None | - | +| `hooks_G` | 결합할 일곱 번째 훅 그룹 | HOOKS | 선택적 | None | - | +| `hooks_H` | 결합할 여덟 번째 훅 그룹 | HOOKS | 선택적 | None | - | + +**참고:** 모든 입력 매개변수는 선택 사항입니다. 이 노드는 제공된 훅 그룹만 결합하며, 비어 있는 입력은 무시합니다. 1개에서 8개까지의 훅 그룹을 제공하여 결합할 수 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `HOOKS` | 제공된 모든 훅 구성을 포함하는 단일 결합 훅 그룹 | HOOKS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksEight/ko.md) + +--- +**Source fingerprint (SHA-256):** `8cd13ec6710a9b2905c14301cfd15be616c00f1b4140451cdf0915f091c77197` diff --git a/ko/built-in-nodes/CombineHooksFour.mdx b/ko/built-in-nodes/CombineHooksFour.mdx new file mode 100644 index 000000000..f08feec95 --- /dev/null +++ b/ko/built-in-nodes/CombineHooksFour.mdx @@ -0,0 +1,30 @@ +--- +title: "CombineHooksFour - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CombineHooksFour node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CombineHooksFour" +icon: "circle" +mode: wide +--- +**Combine Hooks [4] 노드**는 최대 4개의 개별 후크 그룹을 하나의 결합된 후크 그룹으로 병합합니다. 4개의 사용 가능한 후크 입력을 조합하여 ComfyUI의 후크 결합 시스템을 통해 결합합니다. 이를 통해 여러 후크 구성을 통합하여 고급 워크플로우에서 간소화된 처리를 수행할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `hooks_A` | 결합할 첫 번째 후크 그룹 | HOOKS | 선택 사항 | None | - | +| `hooks_B` | 결합할 두 번째 후크 그룹 | HOOKS | 선택 사항 | None | - | +| `hooks_C` | 결합할 세 번째 후크 그룹 | HOOKS | 선택 사항 | None | - | +| `hooks_D` | 결합할 네 번째 후크 그룹 | HOOKS | 선택 사항 | None | - | + +**참고:** 4개의 후크 입력은 모두 선택 사항입니다. 이 노드는 제공된 후크 그룹만 결합하며, 입력이 연결되지 않은 경우 빈 후크 그룹을 반환합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `HOOKS` | 제공된 모든 후크 구성을 포함하는 결합된 후크 그룹 | HOOKS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksFour/ko.md) + +--- +**Source fingerprint (SHA-256):** `92a8038e7b5a7491afcbd48830a1e278fe4d697321fb874821ebf7edd09d5815` diff --git a/ko/built-in-nodes/ComboOptionTestNode.mdx b/ko/built-in-nodes/ComboOptionTestNode.mdx new file mode 100644 index 000000000..f1c12aff8 --- /dev/null +++ b/ko/built-in-nodes/ComboOptionTestNode.mdx @@ -0,0 +1,27 @@ +--- +title: "ComboOptionTestNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComboOptionTestNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComboOptionTestNode" +icon: "circle" +mode: wide +--- +ComboOptionTestNode는 콤보 박스 선택을 테스트하고 전달하는 로직 노드입니다. 두 개의 콤보 박스 입력을 받으며, 각 입력에는 미리 정의된 옵션 집합이 있습니다. 선택된 값을 수정 없이 그대로 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `combo` | 세 가지 테스트 옵션 중 첫 번째 선택입니다. | COMBO | 예 | `"option1"`
`"option2"`
`"option3"` | +| `combo2` | 다른 세 가지 테스트 옵션 중 두 번째 선택입니다. | COMBO | 예 | `"option4"`
`"option5"`
`"option6"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output_1` | 첫 번째 콤보 박스(`combo`)에서 선택된 값을 출력합니다. | COMBO | +| `output_2` | 두 번째 콤보 박스(`combo2`)에서 선택된 값을 출력합니다. | COMBO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComboOptionTestNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `2f5a73eb7c2962a983b12688159e52d4d05f569d67909f536956ab18a6cc87d7` diff --git a/ko/built-in-nodes/ComfyAndNode.mdx b/ko/built-in-nodes/ComfyAndNode.mdx new file mode 100644 index 000000000..7cf66e5f3 --- /dev/null +++ b/ko/built-in-nodes/ComfyAndNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ComfyAndNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyAndNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyAndNode" +icon: "circle" +mode: wide +--- +## 개요 + +And 노드는 입력 값 집합에 대해 논리적 AND 연산을 수행합니다. 제공된 모든 값이 Python의 참값 규칙에 따라 참으로 간주되는 경우에만 `true`를 반환합니다. 이 노드는 여러 조건이 모두 충족되었는지 확인해야 할 때 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `values` | 평가할 값 목록입니다. 노드는 최소 하나의 값을 허용하며, 노드의 "+" 버튼을 클릭하여 값을 추가할 수 있습니다. | ANY | 예 | 1개 이상의 값 | + +**참고:** 노드는 Python의 참값 규칙을 사용하여 값이 `true`인지 `false`인지 판단합니다. 예를 들어, 빈 문자열, 숫자 0, 빈 목록, `None`은 모두 `false`로 간주됩니다. 그 외의 모든 값은 `true`로 간주됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `BOOLEAN` | 모든 입력 값이 참이면 `true`를 반환하고, 그렇지 않으면 `false`를 반환합니다. | BOOLEAN | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4` diff --git a/ko/built-in-nodes/ComfyMathExpression.mdx b/ko/built-in-nodes/ComfyMathExpression.mdx new file mode 100644 index 000000000..ff47896e0 --- /dev/null +++ b/ko/built-in-nodes/ComfyMathExpression.mdx @@ -0,0 +1,33 @@ +--- +title: "ComfyMathExpression - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyMathExpression node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyMathExpression" +icon: "circle" +mode: wide +--- +ComfyMathExpression 노드는 입력 값 집합을 사용하여 수학 공식을 계산합니다. `a`, `b`, `c`와 같은 변수 이름을 사용하여 표현식을 작성할 수 있으며, 노드가 결과를 계산합니다. 계산에 필요한 만큼 입력 값을 동적으로 추가할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `수식` | 계산할 수학 공식입니다. 입력 값에 해당하는 변수 이름을 사용할 수 있습니다 (기본값: "a + b"). | STRING | 예 | 해당 없음 | +| `값` | 동적으로 추가할 수 있는 숫자 또는 부울 입력 값 집합입니다. 각 입력에는 표현식에서 변수로 사용할 알파벳 문자(a, b, c, ...)가 할당됩니다. | FLOAT, INT, BOOLEAN | 아니요 | 해당 없음 | + +**매개변수 제약 조건:** +* `expression` 매개변수는 비어 있거나 공백만으로 구성될 수 없습니다. +* 표현식은 유한한 숫자 결과(INT 또는 FLOAT)로 평가되어야 합니다. 부울 또는 기타 숫자가 아닌 결과는 오류를 발생시킵니다. +* `values` 매개변수의 입력 값은 숫자(INT 또는 FLOAT) 또는 부울 값(TRUE/FALSE)이 될 수 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `FLOAT` | 수학 표현식의 결과를 부동 소수점 숫자로 반환합니다. | FLOAT | +| `BOOL` | 수학 표현식의 결과를 정수로 반환합니다. | INT | +| `BOOL` | 수학 표현식의 결과를 부울 값으로 반환합니다. | BOOLEAN | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyMathExpression/ko.md) + +--- +**Source fingerprint (SHA-256):** `962f82684d9dc58a67a57e6738d6d2ed457d7f30288cedb21fd46b5c655c1708` diff --git a/ko/built-in-nodes/ComfyNotNode.mdx b/ko/built-in-nodes/ComfyNotNode.mdx new file mode 100644 index 000000000..657f2102f --- /dev/null +++ b/ko/built-in-nodes/ComfyNotNode.mdx @@ -0,0 +1,27 @@ +--- +title: "ComfyNotNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyNotNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyNotNode" +icon: "circle" +mode: wide +--- +## 개요 + +Not 노드는 입력된 모든 값에 대해 논리적 NOT 연산을 수행합니다. 입력 값이 거짓으로 간주되는 경우(예: 0, 빈 문자열, None, False) True를 반환하고, 입력 값이 참으로 간주되는 경우 False를 반환합니다. 진리값 판별에는 Python의 표준 규칙이 사용됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `value` | 반전시킬 입력 값입니다. 모든 데이터 타입을 허용하며 Python의 진리값 규칙을 사용하여 평가됩니다. | ANY | 예 | 모든 값 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력 값의 논리적 역입니다. 입력이 거짓이면 True를, 입력이 참이면 False를 반환합니다. | BOOLEAN | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877` diff --git a/ko/built-in-nodes/ComfyNumberConvert.mdx b/ko/built-in-nodes/ComfyNumberConvert.mdx new file mode 100644 index 000000000..7e61361fb --- /dev/null +++ b/ko/built-in-nodes/ComfyNumberConvert.mdx @@ -0,0 +1,30 @@ +--- +title: "ComfyNumberConvert - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyNumberConvert node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyNumberConvert" +icon: "circle" +mode: wide +--- +# 숫자 변환 + +숫자 변환 노드는 다양한 입력 데이터 유형을 숫자 값으로 변환합니다. 정수, 실수, 문자열 또는 부울 유형의 단일 입력을 받아 부동소수점 숫자와 정수라는 두 가지 출력을 생성합니다. 이는 텍스트나 논리 값을 워크플로우의 다른 수학 또는 처리 노드에서 사용할 수 있는 형식으로 변환하는 데 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `값` | 숫자 출력으로 변환할 값입니다. 정수, 부동소수점 숫자, 텍스트 문자열 또는 참/거짓 부울 값을 허용합니다. | INT, FLOAT, STRING, BOOLEAN | 예 | 해당 없음 | + +**참고:** 입력이 문자열인 경우 비어 있지 않아야 하며 유효한 숫자 표현(예: `"123"`, `"3.14"`)을 포함해야 합니다. 빈 문자열, 숫자로 구문 분석할 수 없는 텍스트 또는 유한하지 않은 값(예: `"inf"` 또는 `"nan"`)의 경우 노드에서 오류가 발생합니다. 부울 입력의 경우 `true`는 1.0(FLOAT)과 1(INT)로 변환되고, `false`는 0.0(FLOAT)과 0(INT)으로 변환됩니다. 실수 입력의 경우 정수 출력은 소수 부분을 절사하여 얻습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `FLOAT` | 입력 값을 부동소수점 숫자로 변환한 결과입니다. | FLOAT | +| `INT` | 입력 값을 정수로 변환한 결과입니다. 실수 입력의 경우 절사가 수행됩니다. | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNumberConvert/ko.md) + +--- +**Source fingerprint (SHA-256):** `961fbea05b22c68f768f9ecaae2ee455b1913afe4a65d8c0e6b6497b1e24ce72` diff --git a/ko/built-in-nodes/ComfyOrNode.mdx b/ko/built-in-nodes/ComfyOrNode.mdx new file mode 100644 index 000000000..1966a8c83 --- /dev/null +++ b/ko/built-in-nodes/ComfyOrNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ComfyOrNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyOrNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyOrNode" +icon: "circle" +mode: wide +--- +# ComfyOrNode + +ComfyOrNode는 입력 값 집합에 대해 논리적 OR 연산을 수행합니다. 제공된 값 중 하나라도 Python의 표준 진리값 규칙에 따라 참(true)으로 간주되면 `true`를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `value` | 진리값을 평가할 값입니다. 입력을 더 추가하여 여러 값을 제공할 수 있습니다. 이 노드는 이러한 값 중 하나라도 참(true)이면 `true`를 반환합니다. | ANY | 예 | 여러 값 허용 | + +**참고:** 이 노드는 최소 1개의 입력 값을 허용합니다. 자동 확장 기능을 사용하여 필요에 따라 더 많은 입력을 추가할 수 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `BOOLEAN` | 입력 값 중 하나라도 참(true)이면 `true`를 반환하고, 모든 입력 값이 거짓(false)이면 `false`를 반환합니다. | BOOLEAN | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1` diff --git a/ko/built-in-nodes/ComfySoftSwitchNode.mdx b/ko/built-in-nodes/ComfySoftSwitchNode.mdx new file mode 100644 index 000000000..57caafa38 --- /dev/null +++ b/ko/built-in-nodes/ComfySoftSwitchNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ComfySoftSwitchNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfySoftSwitchNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfySoftSwitchNode" +icon: "circle" +mode: wide +--- +소프트 스위치 노드는 부울 조건에 따라 두 개의 입력 값 중 하나를 선택합니다. `switch`가 참(true)이면 `on_true` 입력의 값을 출력하고, `switch`가 거짓(false)이면 `on_false` 입력의 값을 출력합니다. 이 노드는 지연 평가(lazy) 방식으로 설계되어, 스위치 상태에 따라 필요한 입력만 평가합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `switch` | 통과시킬 입력을 결정하는 부울 조건입니다. 참(true)이면 `on_true` 입력이 선택되고, 거짓(false)이면 `on_false` 입력이 선택됩니다. | BOOLEAN | 예 | | +| `on_false` | `switch` 조건이 거짓(false)일 때 출력할 값입니다. 이 입력은 선택 사항이지만, `on_false` 또는 `on_true` 중 하나는 반드시 연결되어야 합니다. | MATCH_TYPE | 아니요 | | +| `on_true` | `switch` 조건이 참(true)일 때 출력할 값입니다. 이 입력은 선택 사항이지만, `on_false` 또는 `on_true` 중 하나는 반드시 연결되어야 합니다. | MATCH_TYPE | 아니요 | | + +**참고:** `on_false`와 `on_true` 입력은 노드의 내부 템플릿에 정의된 대로 동일한 데이터 타입이어야 합니다. 노드가 작동하려면 이 두 입력 중 하나 이상이 연결되어 있어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 선택된 값입니다. 연결된 `on_false` 또는 `on_true` 입력의 데이터 타입과 일치합니다. | MATCH_TYPE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySoftSwitchNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `f5e40e7f43948b81b5442c885c3e1ff15e38f8f7ddda00ef3be42225765bfd1c` diff --git a/ko/built-in-nodes/ComfySwitchNode.mdx b/ko/built-in-nodes/ComfySwitchNode.mdx new file mode 100644 index 000000000..a63e0eae3 --- /dev/null +++ b/ko/built-in-nodes/ComfySwitchNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ComfySwitchNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfySwitchNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfySwitchNode" +icon: "circle" +mode: wide +--- +Switch 노드는 불리언 조건에 따라 두 개의 입력 중 하나를 선택합니다. `switch`가 활성화된 경우 `on_true` 입력을 출력하고, `switch`가 비활성화된 경우 `on_false` 입력을 출력합니다. 이를 통해 워크플로우에서 조건부 로직을 생성하고 서로 다른 데이터 경로를 선택할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `스위치` | 통과시킬 입력을 결정하는 불리언 조건입니다. 활성화된 경우(true) `참일 때` 입력이 선택됩니다. 비활성화된 경우(false) `거짓일 때` 입력이 선택됩니다. | BOOLEAN | 예 | | +| `거짓일 때` | `스위치`가 비활성화된 경우(false) 출력으로 전달될 데이터입니다. 이 입력은 `스위치`가 false일 때만 필요합니다. | MATCH_TYPE | 아니요 | | +| `참일 때` | `스위치`가 활성화된 경우(true) 출력으로 전달될 데이터입니다. 이 입력은 `스위치`가 true일 때만 필요합니다. | MATCH_TYPE | 아니요 | | + +**입력 요구 사항 참고:** `on_false` 및 `on_true` 입력은 조건부로 필요합니다. 노드는 `switch`가 true일 때만 `on_true` 입력을 요청하고, `switch`가 false일 때만 `on_false` 입력을 요청합니다. 두 입력은 동일한 데이터 타입이어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 선택된 데이터입니다. `스위치`가 true이면 `참일 때` 입력의 값이고, `스위치`가 false이면 `거짓일 때` 입력의 값입니다. | MATCH_TYPE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySwitchNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `9f3cf58c1a04116fa0cbe8007fe3ed90e93c4de2e65f6778761d03fb21a63af3` diff --git a/ko/built-in-nodes/ConditioningAverage.mdx b/ko/built-in-nodes/ConditioningAverage.mdx new file mode 100644 index 000000000..cd47016cd --- /dev/null +++ b/ko/built-in-nodes/ConditioningAverage.mdx @@ -0,0 +1,35 @@ +--- +title: "ConditioningAverage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningAverage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningAverage" +icon: "circle" +mode: wide +--- +`ConditioningAverage` 노드는 두 개의 서로 다른 컨디셔닝(예: 텍스트 프롬프트) 세트를 지정된 가중치에 따라 혼합하여, 두 컨디셔닝 사이에 위치하는 새로운 컨디셔닝 벡터를 생성합니다. 가중치 매개변수를 조정함으로써 최종 결과에 대한 각 컨디셔닝의 영향을 유연하게 제어할 수 있습니다. 이는 프롬프트 보간, 스타일 융합 등 고급 사용 사례에 특히 적합합니다. + +아래 그림과 같이 `conditioning_to`의 강도를 조정하여 두 컨디셔닝 사이의 결과를 출력할 수 있습니다. + +![예시](/images/built-in-nodes/ConditioningAverage/example.webp) + +## 입력 + +| 매개변수 | 설명 | Compy dtype | +| --- | --- | --- | +| `대상 조건` | 가중 평균의 주요 기준이 되는 대상 컨디셔닝 벡터입니다. | `CONDITIONING` | +| `추가 조건` | 특정 가중치에 따라 대상에 혼합될 소스 컨디셔닝 벡터입니다. | `CONDITIONING` | +| `대상 조건 강도` | 대상 컨디셔닝의 강도입니다. 범위는 0.0-1.0, 기본값은 1.0, 증가 단위는 0.01입니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | Comfy dtype | +| --- | --- | --- | +| `conditioning` | 혼합 후 생성된 컨디셔닝 벡터로, 가중 평균을 반영합니다. | `CONDITIONING` | + +## 일반적인 사용 사례 + +- **프롬프트 보간:** 두 개의 서로 다른 텍스트 프롬프트 간에 부드럽게 전환하여 중간 스타일이나 의미를 가진 콘텐츠를 생성합니다. +- **스타일 융합:** 서로 다른 예술적 스타일이나 의미론적 조건을 결합하여 새로운 효과를 창출합니다. +- **강도 조정:** 가중치를 조정하여 특정 컨디셔닝이 결과에 미치는 영향을 정밀하게 제어합니다. +- **창의적 탐구:** 다양한 프롬프트를 혼합하여 다양한 생성 효과를 탐구합니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningAverage/ko.md) diff --git a/ko/built-in-nodes/ConditioningCombine.mdx b/ko/built-in-nodes/ConditioningCombine.mdx new file mode 100644 index 000000000..be1cae4fb --- /dev/null +++ b/ko/built-in-nodes/ConditioningCombine.mdx @@ -0,0 +1,37 @@ +--- +title: "ConditioningCombine - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningCombine node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningCombine" +icon: "circle" +mode: wide +--- +이 노드는 두 개의 컨디셔닝 입력을 단일 출력으로 결합하여 정보를 효과적으로 병합합니다. 두 조건은 리스트 연결(list concatenation)을 사용하여 결합됩니다. + +## 입력 + +| 매개변수 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `조건 1` | 결합될 첫 번째 컨디셔닝 입력입니다. 결합 과정에서 `조건 2`와 동등한 중요도를 가집니다. | `CONDITIONING` | +| `조건 2` | 결합될 두 번째 컨디셔닝 입력입니다. 결합 과정에서 `조건 1`과 동등한 중요도를 가집니다. | `CONDITIONING` | + +## 출력 + +| 매개변수 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `conditioning` | `조건 1`과 `조건 2`를 결합한 결과로, 병합된 정보를 포함합니다. | `CONDITIONING` | + +## 사용 시나리오 + +아래 두 그룹을 비교해 보십시오. 왼쪽은 ConditioningCombine 노드를 사용한 결과이고, 오른쪽은 일반 출력을 보여줍니다. + +![비교](/images/built-in-nodes/ConditioningCombine/compare.jpg) + +이 예시에서 `Conditioning Combine`에 사용된 두 조건은 동등한 중요도를 가집니다. 따라서 이미지 스타일, 주제 특징 등에 대해 서로 다른 텍스트 인코딩을 사용할 수 있으며, 프롬프트 특징이 더 완전하게 출력될 수 있습니다. 두 번째 프롬프트는 결합된 완전한 프롬프트를 사용하지만, 의미 이해는 완전히 다른 조건을 인코딩할 수 있습니다. + +이 노드를 사용하여 다음을 구현할 수 있습니다: + +- 기본 텍스트 병합: 두 개의 `CLIP Text Encode` 노드 출력을 `Conditioning Combine`의 두 입력 포트에 연결 +- 복잡한 프롬프트 결합: 긍정 프롬프트와 부정 프롬프트를 결합하거나, 주요 설명과 스타일 설명을 별도로 인코딩한 후 병합 +- 조건부 체인 결합: 여러 개의 `Conditioning Combine` 노드를 직렬로 사용하여 여러 조건의 점진적 결합 구현 + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningCombine/ko.md) diff --git a/ko/built-in-nodes/ConditioningConcat.mdx b/ko/built-in-nodes/ConditioningConcat.mdx new file mode 100644 index 000000000..56b01b6cf --- /dev/null +++ b/ko/built-in-nodes/ConditioningConcat.mdx @@ -0,0 +1,23 @@ +--- +title: "ConditioningConcat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningConcat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningConcat" +icon: "circle" +mode: wide +--- +ConditioningConcat 노드는 컨디셔닝 벡터를 연결(concatenate)하도록 설계되었으며, 특히 'conditioning_from' 벡터를 'conditioning_to' 벡터에 병합합니다. 이 작업은 두 소스의 컨디셔닝 정보를 하나의 통합된 표현으로 결합해야 하는 시나리오에서 필수적입니다. + +## 입력 + +| 매개변수 | 설명 | Comfy 데이터 타입 | +| --- | --- | --- | +| `대상 조건` | 'conditioning_from' 벡터가 연결될 기본 컨디셔닝 벡터 세트를 나타냅니다. 연결 프로세스의 기준이 됩니다. | `CONDITIONING` | +| `추가 조건` | 'conditioning_to' 벡터에 연결될 컨디셔닝 벡터로 구성됩니다. 이 매개변수를 통해 기존 세트에 추가 컨디셔닝 정보를 통합할 수 있습니다. | `CONDITIONING` | + +## 출력 + +| 매개변수 | 설명 | Comfy 데이터 타입 | +| --- | --- | --- | +| `conditioning` | 'conditioning_from' 벡터를 'conditioning_to' 벡터에 연결한 결과로 생성된 통합 컨디셔닝 벡터 세트입니다. | `CONDITIONING` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningConcat/ko.md) diff --git a/ko/built-in-nodes/ConditioningSetArea.mdx b/ko/built-in-nodes/ConditioningSetArea.mdx new file mode 100644 index 000000000..03d356957 --- /dev/null +++ b/ko/built-in-nodes/ConditioningSetArea.mdx @@ -0,0 +1,27 @@ +--- +title: "ConditioningSetArea - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetArea node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningSetArea" +icon: "circle" +mode: wide +--- +이 노드는 컨디셔닝 컨텍스트 내에서 특정 영역을 설정하여 컨디셔닝 정보를 수정하도록 설계되었습니다. 컨디셔닝 요소의 정밀한 공간 조작을 가능하게 하며, 지정된 치수와 강도에 따라 목표 지향적인 조정 및 개선을 수행할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 수정할 컨디셔닝 데이터입니다. 공간 조정을 적용하기 위한 기본 데이터로 사용됩니다. | CONDITIONING | +| `너비` | 컨디셔닝 컨텍스트 내에서 설정할 영역의 너비를 지정하며, 조정의 수평 범위에 영향을 줍니다. | `INT` | +| `높이` | 설정할 영역의 높이를 결정하며, 컨디셔닝 수정의 수직 범위에 영향을 줍니다. | `INT` | +| `x` | 설정할 영역의 수평 시작점으로, 컨디셔닝 컨텍스트 내에서 조정 위치를 지정합니다. | `INT` | +| `y` | 영역 조정의 수직 시작점으로, 컨디셔닝 컨텍스트 내에서 해당 위치를 설정합니다. | `INT` | +| `강도` | 지정된 영역 내에서 컨디셔닝 수정의 강도를 정의하며, 조정 효과에 대한 세밀한 제어를 가능하게 합니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 지정된 영역 설정 및 조정이 반영된 수정된 컨디셔닝 데이터입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetArea/ko.md) diff --git a/ko/built-in-nodes/ConditioningSetAreaPercentage.mdx b/ko/built-in-nodes/ConditioningSetAreaPercentage.mdx new file mode 100644 index 000000000..9572e8a0c --- /dev/null +++ b/ko/built-in-nodes/ConditioningSetAreaPercentage.mdx @@ -0,0 +1,29 @@ +--- +title: "ConditioningSetAreaPercentage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetAreaPercentage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningSetAreaPercentage" +icon: "circle" +mode: wide +--- +## 개요 + +ConditioningSetAreaPercentage 노드는 컨디셔닝 요소의 영향 영역을 백분율 값에 기반하여 조정하는 데 특화되어 있습니다. 이 노드는 전체 이미지 크기 대비 백분율로 영역의 크기와 위치를 지정할 수 있게 하며, 강도 매개변수를 통해 컨디셔닝 효과의 세기를 조절할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 수정할 컨디셔닝 요소를 나타내며, 영역 및 강도 조정을 적용하기 위한 기반이 됩니다. | CONDITIONING | +| `너비` | 전체 이미지 너비 대비 백분율로 영역의 너비를 지정하여, 컨디셔닝이 수평 방향으로 이미지에 영향을 미치는 범위를 결정합니다. | `FLOAT` | +| `높이` | 전체 이미지 높이 대비 백분율로 영역의 높이를 결정하여, 컨디셔닝 영향의 수직적 범위를 조정합니다. | `FLOAT` | +| `x` | 전체 이미지 너비 대비 백분율로 영역의 수평 시작 지점을 나타내며, 컨디셔닝 효과의 위치를 지정합니다. | `FLOAT` | +| `y` | 전체 이미지 높이 대비 백분율로 영역의 수직 시작 지점을 지정하며, 컨디셔닝 효과의 위치를 설정합니다. | `FLOAT` | +| `강도` | 지정된 영역 내에서 컨디셔닝 효과의 강도를 제어하여, 그 영향을 세밀하게 조정할 수 있게 합니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 업데이트된 영역 및 강도 매개변수가 적용된 수정된 컨디셔닝 요소를 반환하며, 추가 처리 또는 적용이 가능한 상태입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentage/ko.md) diff --git a/ko/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx b/ko/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx new file mode 100644 index 000000000..f26e7828c --- /dev/null +++ b/ko/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx @@ -0,0 +1,34 @@ +--- +title: "ConditioningSetAreaPercentageVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetAreaPercentageVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningSetAreaPercentageVideo" +icon: "circle" +mode: wide +--- +# ConditioningSetAreaPercentageVideo + +ConditioningSetAreaPercentageVideo 노드는 비디오 생성을 위한 특정 영역과 시간적 범위를 정의하여 컨디셔닝 데이터를 수정합니다. 전체 차원에 대한 백분율 값을 사용하여 컨디셔닝이 적용될 영역의 위치, 크기 및 지속 시간을 설정할 수 있습니다. 이는 비디오 시퀀스의 특정 부분에 생성을 집중시키는 데 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `조건` | 수정할 컨디셔닝 데이터 | CONDITIONING | 필수 | - | - | +| `너비` | 전체 너비 대비 영역 너비의 백분율 | FLOAT | 필수 | 1.0 | 0.0 - 1.0 | +| `높이` | 전체 높이 대비 영역 높이의 백분율 | FLOAT | 필수 | 1.0 | 0.0 - 1.0 | +| `시간` | 전체 비디오 길이 대비 영역의 시간적 지속 시간 백분율 | FLOAT | 필수 | 1.0 | 0.0 - 1.0 | +| `x` | 영역의 수평 시작 위치 백분율 | FLOAT | 필수 | 0.0 | 0.0 - 1.0 | +| `y` | 영역의 수직 시작 위치 백분율 | FLOAT | 필수 | 0.0 | 0.0 - 1.0 | +| `z` | 비디오 타임라인 대비 영역의 시간적 시작 위치 백분율 | FLOAT | 필수 | 0.0 | 0.0 - 1.0 | +| `강도` | 정의된 영역 내에서 컨디셔닝에 적용되는 강도 배수 | FLOAT | 필수 | 1.0 | 0.0 - 10.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `조건` | 지정된 영역 및 강도 설정이 적용된 수정된 컨디셔닝 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentageVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `72d4bef4f8ddc4765cf69863f7ad03d34992f0ff30a963dbe2dc1b7d69815410` diff --git a/ko/built-in-nodes/ConditioningSetAreaStrength.mdx b/ko/built-in-nodes/ConditioningSetAreaStrength.mdx new file mode 100644 index 000000000..a6d597208 --- /dev/null +++ b/ko/built-in-nodes/ConditioningSetAreaStrength.mdx @@ -0,0 +1,23 @@ +--- +title: "ConditioningSetAreaStrength - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetAreaStrength node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningSetAreaStrength" +icon: "circle" +mode: wide +--- +이 노드는 주어진 컨디셔닝 세트의 강도 속성을 수정하여, 생성 과정에 대한 컨디셔닝의 영향이나 강도를 조정할 수 있도록 설계되었습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 수정할 컨디셔닝 세트로, 생성 과정에 영향을 미치는 현재 컨디셔닝 상태를 나타냅니다. | CONDITIONING | +| `강도` | 컨디셔닝 세트에 적용할 강도 값으로, 해당 컨디셔닝의 영향 강도를 결정합니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 각 요소에 대해 업데이트된 강도 값을 가진 수정된 컨디셔닝 세트입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaStrength/ko.md) diff --git a/ko/built-in-nodes/ConditioningSetDefaultAndCombine.mdx b/ko/built-in-nodes/ConditioningSetDefaultAndCombine.mdx new file mode 100644 index 000000000..1ca214774 --- /dev/null +++ b/ko/built-in-nodes/ConditioningSetDefaultAndCombine.mdx @@ -0,0 +1,29 @@ +--- +title: "ConditioningSetDefaultAndCombine - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetDefaultAndCombine node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningSetDefaultAndCombine" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetDefaultAndCombine/en.md) + +이 노드는 후크 기반 시스템을 사용하여 기본 컨디셔닝 입력과 기본값 컨디셔닝 입력을 결합합니다. 두 컨디셔닝 소스를 단일 출력으로 병합하여, 기본 컨디셔닝이 불완전할 경우 기본값 컨디셔닝이 대체 또는 기반 역할을 수행할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `cond` | 처리 및 결합될 기본 컨디셔닝 입력입니다. | CONDITIONING | 필수 | - | - | +| `cond_DEFAULT` | 기본 컨디셔닝과 결합될 기본값 컨디셔닝 데이터입니다. | CONDITIONING | 필수 | - | - | +| `hooks` | 컨디셔닝 데이터의 처리 및 결합 방식을 제어하는 선택적 후크 구성입니다. | HOOKS | 선택 사항 | - | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 기본 컨디셔닝과 기본값 컨디셔닝 입력을 병합하여 생성된 결합 컨디셔닝 데이터입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetDefaultAndCombine/ko.md) + +--- +**Source fingerprint (SHA-256):** `5e6c95f454c7e262878cc362c6b199e01abff10f803c81afe6e76a317c30d039` diff --git a/ko/built-in-nodes/ConditioningSetMask.mdx b/ko/built-in-nodes/ConditioningSetMask.mdx new file mode 100644 index 000000000..76c8138ed --- /dev/null +++ b/ko/built-in-nodes/ConditioningSetMask.mdx @@ -0,0 +1,27 @@ +--- +title: "ConditioningSetMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningSetMask" +icon: "circle" +mode: wide +--- +이 노드는 지정된 강도로 마스크를 특정 영역에 적용하여 생성 모델의 컨디셔닝을 수정하도록 설계되었습니다. 컨디셔닝 내에서 대상 조정이 가능하므로 생성 과정을 보다 정밀하게 제어할 수 있습니다. + +## 입력 + +### 필수 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 수정할 컨디셔닝 데이터입니다. 마스크 및 강도 조정을 적용하기 위한 기준 역할을 합니다. | CONDITIONING | +| `마스크` | 컨디셔닝 내에서 수정할 영역을 지정하는 마스크 텐서입니다. | `MASK` | +| `강도` | 컨디셔닝에 대한 마스크 효과의 강도로, 적용된 수정 사항을 미세 조정할 수 있습니다. | `FLOAT` | +| `조건 영역 설정` | 마스크 효과를 기본 영역에 적용할지 또는 마스크 자체로 경계를 지정할지 결정하여 특정 영역을 대상으로 하는 유연성을 제공합니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 마스크 및 강도 조정이 적용된 수정된 컨디셔닝 데이터입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetMask/ko.md) diff --git a/ko/built-in-nodes/ConditioningSetProperties.mdx b/ko/built-in-nodes/ConditioningSetProperties.mdx new file mode 100644 index 000000000..e9b74bb0f --- /dev/null +++ b/ko/built-in-nodes/ConditioningSetProperties.mdx @@ -0,0 +1,32 @@ +--- +title: "ConditioningSetProperties - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetProperties node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningSetProperties" +icon: "circle" +mode: wide +--- +ConditioningSetProperties 노드는 강도, 영역 설정을 조정하고 선택적 마스크, 훅 또는 타임스텝 범위를 적용하여 컨디셔닝 데이터의 속성을 수정합니다. 이 노드를 사용하면 이미지 생성 중 컨디셔닝 데이터 적용에 영향을 주는 특정 매개변수를 설정하여 컨디셔닝이 생성 과정에 미치는 영향을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `새 조건` | 수정할 컨디셔닝 데이터 | CONDITIONING | 필수 | - | - | +| `강도` | 컨디셔닝 효과의 강도를 제어합니다 | FLOAT | 필수 | 1.0 | 0.0 - 10.0 (단계: 0.01) | +| `조건 영역 설정` | 컨디셔닝 영역이 적용되는 방식을 결정합니다. 표준 동작을 위해서는 "default"를, 마스크 영역으로 제한하려면 "mask bounds"를 선택하십시오 | STRING | 필수 | default | ["default", "mask bounds"] | +| `마스크` | 컨디셔닝이 적용되는 영역을 제한하는 선택적 마스크 | MASK | 선택 사항 | - | - | +| `후크` | 사용자 정의 처리를 위한 선택적 훅 함수 | HOOKS | 선택 사항 | - | - | +| `타임스텝 범위` | 컨디셔닝이 활성화되는 시점을 제한하는 선택적 타임스텝 범위 | TIMESTEPS_RANGE | 선택 사항 | - | - | + +**참고:** `mask`가 제공되면 `set_cond_area` 매개변수를 "mask bounds"로 설정하여 컨디셔닝 적용을 마스크 영역으로만 제한할 수 있습니다. `hooks` 매개변수는 훅 함수를 통한 사용자 정의 처리를 허용하며, `timesteps`는 생성 과정 중 특정 타임스텝 범위로 컨디셔닝 효과를 제한합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 업데이트된 속성이 적용된 수정된 컨디셔닝 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetProperties/ko.md) + +--- +**Source fingerprint (SHA-256):** `5e3f5348f6df8f2fa1c1d42b883efcab3ee07d933e219f11fa48730aacc168d7` diff --git a/ko/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx b/ko/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx new file mode 100644 index 000000000..462074681 --- /dev/null +++ b/ko/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx @@ -0,0 +1,33 @@ +--- +title: "ConditioningSetPropertiesAndCombine - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetPropertiesAndCombine node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningSetPropertiesAndCombine" +icon: "circle" +mode: wide +--- +ConditioningSetPropertiesAndCombine 노드는 기존 컨디셔닝 입력에 새 컨디셔닝 입력의 속성을 적용하여 컨디셔닝 데이터를 수정합니다. 이 노드는 두 컨디셔닝 세트를 결합하면서 새 컨디셔닝의 강도를 제어하고 컨디셔닝 영역이 적용되는 방식을 지정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `조건` | 수정할 원본 컨디셔닝 데이터 | CONDITIONING | 필수 | - | - | +| `새 조건` | 적용할 속성을 제공하는 새 컨디셔닝 데이터 | CONDITIONING | 필수 | - | - | +| `강도` | 새 컨디셔닝 속성의 강도를 제어합니다 | FLOAT | 필수 | 1.0 | 0.0 - 10.0 | +| `조건 영역 설정` | 컨디셔닝 영역이 적용되는 방식을 결정합니다 | STRING | 필수 | default | ["default", "mask bounds"] | +| `마스크` | 컨디셔닝을 위한 특정 영역을 정의하는 선택적 마스크 | MASK | 선택 사항 | - | - | +| `후크` | 사용자 지정 처리를 위한 선택적 후크 함수 | HOOKS | 선택 사항 | - | - | +| `타임스텝 범위` | 컨디셔닝 적용 시점을 제어하는 선택적 타임스텝 범위 | TIMESTEPS_RANGE | 선택 사항 | - | - | + +**참고:** `mask`가 제공되면 `set_cond_area` 매개변수에서 "mask bounds"를 사용하여 컨디셔닝 적용을 마스크 영역으로 제한할 수 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 수정된 속성이 적용된 결합 컨디셔닝 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetPropertiesAndCombine/ko.md) + +--- +**Source fingerprint (SHA-256):** `da57eeae428a103cbad77af063419ed0e85aeaa0b8805c8c197df27613477fa8` diff --git a/ko/built-in-nodes/ConditioningSetTimestepRange.mdx b/ko/built-in-nodes/ConditioningSetTimestepRange.mdx new file mode 100644 index 000000000..f4d71ca33 --- /dev/null +++ b/ko/built-in-nodes/ConditioningSetTimestepRange.mdx @@ -0,0 +1,24 @@ +--- +title: "ConditioningSetTimestepRange - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetTimestepRange node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningSetTimestepRange" +icon: "circle" +mode: wide +--- +이 노드는 특정 시간 단위 범위를 설정하여 컨디셔닝의 시간적 측면을 조정하도록 설계되었습니다. 컨디셔닝 프로세스의 시작점과 종료점을 정밀하게 제어할 수 있어 보다 목표 지향적이고 효율적인 생성을 가능하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 컨디셔닝 입력은 생성 프로세스의 현재 상태를 나타내며, 이 노드는 특정 시간 단위 범위를 설정하여 이를 수정합니다. | CONDITIONING | +| `시작` | 시작 매개변수는 전체 생성 프로세스 대비 백분율로 시간 단위 범위의 시작점을 지정하며, 컨디셔닝 효과가 시작되는 시점을 미세하게 조정할 수 있습니다. | `FLOAT` | +| `끝` | 종료 매개변수는 백분율로 시간 단위 범위의 끝점을 정의하며, 컨디셔닝 효과의 지속 시간과 종료 시점을 정밀하게 제어할 수 있습니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 출력은 지정된 시간 단위 범위가 적용된 수정된 컨디셔닝으로, 추가 처리 또는 생성을 위해 준비됩니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetTimestepRange/ko.md) diff --git a/ko/built-in-nodes/ConditioningStableAudio.mdx b/ko/built-in-nodes/ConditioningStableAudio.mdx new file mode 100644 index 000000000..d8d0ae6b0 --- /dev/null +++ b/ko/built-in-nodes/ConditioningStableAudio.mdx @@ -0,0 +1,31 @@ +--- +title: "ConditioningStableAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningStableAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningStableAudio" +icon: "circle" +mode: wide +--- +# ConditioningStableAudio 노드 + +ConditioningStableAudio 노드는 오디오 생성을 위해 긍정 및 부정 조건 입력에 타이밍 정보를 추가합니다. 이 노드는 시작 시간과 전체 지속 시간 매개변수를 설정하여 오디오 콘텐츠가 생성되어야 하는 시점과 지속 시간을 제어합니다. 오디오 특화 타이밍 메타데이터를 추가하여 기존 조건 데이터를 수정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | 오디오 타이밍 정보로 수정될 긍정 조건 입력 | CONDITIONING | 예 | - | +| `부정 조건` | 오디오 타이밍 정보로 수정될 부정 조건 입력 | CONDITIONING | 예 | - | +| `시작(초)` | 오디오 생성을 위한 시작 시간(초) (기본값: 0.0) | FLOAT | 예 | 0.0 ~ 1000.0 | +| `전체(초)` | 오디오 생성을 위한 전체 지속 시간(초) (기본값: 47.0) | FLOAT | 예 | 0.0 ~ 1000.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `negative` | 오디오 타이밍 정보가 적용된 수정된 긍정 조건 | CONDITIONING | +| `부정 조건` | 오디오 타이밍 정보가 적용된 수정된 부정 조건 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningStableAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `ad4fdb2ac536e4f9cc23c044a7a63333e3f3530cc782937eaedc1565cc7c5d0e` diff --git a/ko/built-in-nodes/ConditioningTimestepsRange.mdx b/ko/built-in-nodes/ConditioningTimestepsRange.mdx new file mode 100644 index 000000000..cb9108bfd --- /dev/null +++ b/ko/built-in-nodes/ConditioningTimestepsRange.mdx @@ -0,0 +1,30 @@ +--- +title: "ConditioningTimestepsRange - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningTimestepsRange node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningTimestepsRange" +icon: "circle" +mode: wide +--- +# ConditioningTimestepsRange 노드 + +ConditioningTimestepsRange 노드는 생성 과정에서 컨디셔닝 효과가 적용되는 시점을 제어하기 위해 세 개의 개별적인 타임스텝 범위를 생성합니다. 시작 및 종료 백분율 값을 입력받아 전체 타임스텝 범위(0.0~1.0)를 세 개의 구간으로 나눕니다: 지정된 백분율 사이의 주 범위, 시작 백분율 이전의 범위, 종료 백분율 이후의 범위입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `시작 퍼센트` | 타임스텝 범위의 시작 백분율 (기본값: 0.0) | FLOAT | 예 | 0.0 - 1.0 | +| `종료 퍼센트` | 타임스텝 범위의 종료 백분율 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이전 범위` | start_percent와 end_percent로 정의된 주 타임스텝 범위 | TIMESTEPS_RANGE | +| `이후 범위` | 0.0부터 start_percent까지의 타임스텝 범위 | TIMESTEPS_RANGE | +| `AFTER_RANGE` | end_percent부터 1.0까지의 타임스텝 범위 | TIMESTEPS_RANGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningTimestepsRange/ko.md) + +--- +**Source fingerprint (SHA-256):** `dee21b5ac80fabdeacf3f4a985550fff795702e02911400ae49a97baae834e5e` diff --git a/ko/built-in-nodes/ConditioningZeroOut.mdx b/ko/built-in-nodes/ConditioningZeroOut.mdx new file mode 100644 index 000000000..7eb01adf5 --- /dev/null +++ b/ko/built-in-nodes/ConditioningZeroOut.mdx @@ -0,0 +1,22 @@ +--- +title: "ConditioningZeroOut - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningZeroOut node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConditioningZeroOut" +icon: "circle" +mode: wide +--- +이 노드는 컨디셔닝 데이터 구조 내의 특정 요소를 0으로 설정하여, 이후 처리 단계에서 해당 요소의 영향을 효과적으로 중화합니다. 컨디셔닝의 내부 표현을 직접 조작해야 하는 고급 컨디셔닝 작업을 위해 설계되었습니다. + +## 입력 + +| 매개변수 | 설명 | Comfy 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 수정할 컨디셔닝 데이터 구조입니다. 이 노드는 각 컨디셔닝 항목 내에 'pooled_output' 요소가 있는 경우 이를 0으로 설정합니다. | CONDITIONING | + +## 출력 + +| 매개변수 | 설명 | Comfy 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 'pooled_output' 요소가 해당되는 경우 0으로 설정된 수정된 컨디셔닝 데이터 구조입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningZeroOut/ko.md) diff --git a/ko/built-in-nodes/ContextWindowsManual.mdx b/ko/built-in-nodes/ContextWindowsManual.mdx new file mode 100644 index 000000000..6c85cdcba --- /dev/null +++ b/ko/built-in-nodes/ContextWindowsManual.mdx @@ -0,0 +1,45 @@ +--- +title: "ContextWindowsManual - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ContextWindowsManual node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ContextWindowsManual" +icon: "circle" +mode: wide +--- +# 컨텍스트 윈도우(수동) 노드 + +컨텍스트 윈도우(수동) 노드는 샘플링 중 모델에 대한 컨텍스트 윈도우를 수동으로 구성할 수 있게 해줍니다. 지정된 길이, 중첩 및 스케줄링 패턴으로 중첩되는 컨텍스트 세그먼트를 생성하여, 세그먼트 간 연속성을 유지하면서 데이터를 관리 가능한 청크 단위로 처리합니다. 이 노드는 노이즈 셔플링, 컨디셔닝 유지 및 인과적 윈도우 수정을 포함하여 컨텍스트 윈도우 적용 방식을 제어하기 위한 고급 옵션을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 샘플링 중 컨텍스트 윈도우를 적용할 모델입니다. | MODEL | 예 | - | +| `context_length` | 컨텍스트 윈도우의 길이입니다(기본값: 16). | INT | 아니요 | 1+ | +| `context_overlap` | 컨텍스트 윈도우의 중첩입니다(기본값: 4). | INT | 아니요 | 0+ | +| `context_schedule` | 컨텍스트 윈도우의 보폭입니다. | COMBO | 아니요 | `STATIC_STANDARD`
`UNIFORM_STANDARD`
`UNIFORM_LOOPED`
`BATCHED` | +| `context_stride` | 컨텍스트 윈도우의 보폭이며, 균일 스케줄에만 적용됩니다(기본값: 1). | INT | 아니요 | 1+ | +| `closed_loop` | 컨텍스트 윈도우 루프를 닫을지 여부이며, 루프 스케줄에만 적용됩니다(기본값: False). | BOOLEAN | 아니요 | - | +| `fuse_method` | 컨텍스트 윈도우를 융합하는 데 사용할 방법입니다(기본값: PYRAMID). | COMBO | 아니요 | `PYRAMID`
`LIST_STATIC` | +| `dim` | 컨텍스트 윈도우를 적용할 차원입니다(기본값: 0). | INT | 아니요 | 0-5 | +| `프리노이즈` | FreeNoise 노이즈 셔플링을 적용할지 여부로, 윈도우 블렌딩을 개선합니다(기본값: False). | BOOLEAN | 아니요 | - | +| `cond_retain_index_list` | 각 윈도우의 컨디셔닝 텐서에 유지할 잠재 인덱스 목록입니다. 예를 들어 '0'으로 설정하면 각 윈도우에 초기 시작 이미지가 사용됩니다(기본값: ""). | STRING | 아니요 | - | +| `split_conds_to_windows` | ConditionCombine으로 생성된 여러 컨디셔닝을 영역 인덱스에 따라 각 윈도우로 분할할지 여부입니다(기본값: False). | BOOLEAN | 아니요 | - | +| `causal_window_fix` | 0이 아닌 인덱스의 컨텍스트 윈도우에 인과적 수정 프레임을 추가할지 여부입니다(기본값: True). | BOOLEAN | 아니요 | - | + +**매개변수 제약 조건:** + +- `context_stride`는 균일 스케줄이 선택된 경우에만 사용됩니다 +- `closed_loop`는 루프 스케줄에만 적용됩니다 +- `dim`은 0에서 5 사이여야 합니다(포함) +- `cond_retain_index_list`는 문자열로 된 쉼표로 구분된 정수 인덱스 목록을 입력받습니다(예: "0,1,2") + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 샘플링 중 컨텍스트 윈도우가 적용된 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ContextWindowsManual/ko.md) + +--- +**Source fingerprint (SHA-256):** `b05ddda0ba38588305e6f733cd218c8b462268c39d16226ca961d09054187261` diff --git a/ko/built-in-nodes/ControlNetApply.mdx b/ko/built-in-nodes/ControlNetApply.mdx new file mode 100644 index 000000000..366baafdd --- /dev/null +++ b/ko/built-in-nodes/ControlNetApply.mdx @@ -0,0 +1,30 @@ +--- +title: "ControlNetApply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ControlNetApply node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ControlNetApply" +icon: "circle" +mode: wide +--- +ControlNet을 사용하려면 입력 이미지의 전처리가 필요합니다. ComfyUI 기본 노드에는 전처리기와 ControlNet 모델이 포함되어 있지 않으므로, 먼저 ControlNet 전처리기 [여기서 전처리기 다운로드](https://github.com/Fannovel16/comfy_controlnet_preprocessors)와 해당 ControlNet 모델을 설치해 주시기 바랍니다. + +## 입력 + +| 매개변수 | 데이터 타입 | 기능 | +| --- | --- | --- | +| `positive` | `CONDITIONING` | 긍정 조건 데이터로, CLIP 텍스트 인코더 또는 기타 조건 입력에서 가져옵니다. | +| `negative` | `CONDITIONING` | 부정 조건 데이터로, CLIP 텍스트 인코더 또는 기타 조건 입력에서 가져옵니다. | +| `컨트롤넷` | `CONTROL_NET` | 적용할 ControlNet 모델로, 일반적으로 ControlNet 로더에서 입력됩니다. | +| `이미지` | `IMAGE` | ControlNet 적용을 위한 이미지로, 전처리기로 처리해야 합니다. | +| `vae` | `VAE` | VAE 모델 입력입니다. | +| `강도` | `FLOAT` | 네트워크 조정 강도를 제어하며, 값 범위는 0~10입니다. 권장 값은 0.5~1.5 사이가 적절합니다. 값이 낮을수록 모델에 더 많은 자유도를 부여하고, 값이 높을수록 더 엄격한 제약을 적용합니다. 값이 너무 높으면 이상한 이미지가 생성될 수 있습니다. 이 값을 테스트하고 조정하여 제어 네트워크의 영향을 미세 조정할 수 있습니다. | +| `start_percent` | `FLOAT` | 값 범위 0.000~1.000으로, ControlNet 적용을 시작할 시점을 백분율로 결정합니다. 예를 들어, 0.2는 확산 과정의 20% 시점부터 ControlNet 안내가 이미지 생성에 영향을 미치기 시작함을 의미합니다. | +| `end_percent` | `FLOAT` | 값 범위 0.000~1.000으로, ControlNet 적용을 중단할 시점을 백분율로 결정합니다. 예를 들어, 0.8은 확산 과정의 80% 시점에서 ControlNet 안내가 이미지 생성에 영향을 미치는 것을 중단함을 의미합니다. | + +### 출력 + +| 매개변수 | 데이터 타입 | 기능 | +| --- | --- | --- | +| `positive` | `CONDITIONING` | ControlNet으로 처리된 긍정 조건 데이터로, 다음 ControlNet 또는 K 샘플러 노드로 출력할 수 있습니다. | +| `negative` | `CONDITIONING` | ControlNet으로 처리된 부정 조건 데이터로, 다음 ControlNet 또는 K 샘플러 노드로 출력할 수 있습니다. | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApply/ko.md) diff --git a/ko/built-in-nodes/ControlNetApplyAdvanced.mdx b/ko/built-in-nodes/ControlNetApplyAdvanced.mdx new file mode 100644 index 000000000..92a07de9f --- /dev/null +++ b/ko/built-in-nodes/ControlNetApplyAdvanced.mdx @@ -0,0 +1,29 @@ +--- +title: "ControlNetApplyAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ControlNetApplyAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ControlNetApplyAdvanced" +icon: "circle" +mode: wide +--- +이 노드는 이미지와 컨트롤 넷 모델을 기반으로 컨디셔닝 데이터에 고급 컨트롤 넷 변환을 적용합니다. 컨트롤 넷이 생성 콘텐츠에 미치는 영향력을 세밀하게 조정하여 컨디셔닝에 대한 보다 정밀하고 다양한 수정을 가능하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `긍정 조건` | 컨트롤 넷 변환이 적용될 긍정 컨디셔닝 데이터입니다. 생성 콘텐츠에서 강화하거나 유지할 원하는 속성 또는 특징을 나타냅니다. | `CONDITIONING` | +| `부정 조건` | 생성 콘텐츠에서 줄이거나 제거할 속성 또는 특징을 나타내는 부정 컨디셔닝 데이터입니다. 컨트롤 넷 변환은 이 데이터에도 적용되어 콘텐츠 특성의 균형 잡힌 조정을 가능하게 합니다. | `CONDITIONING` | +| `컨트롤넷` | 컨트롤 넷 모델은 컨디셔닝 데이터에 대한 특정 조정 및 개선 사항을 정의하는 데 중요합니다. 참조 이미지와 강도 매개변수를 해석하여 변환을 적용하며, 긍정 및 부정 컨디셔닝 데이터 모두의 속성을 수정하여 최종 출력에 큰 영향을 미칩니다. | `CONTROL_NET` | +| `이미지` | 컨트롤 넷 변환의 참조 역할을 하는 이미지입니다. 컨트롤 넷이 컨디셔닝 데이터에 적용하는 조정에 영향을 미치며, 특정 특징의 강화 또는 억제를 안내합니다. | `IMAGE` | +| `강도` | 컨디셔닝 데이터에 대한 컨트롤 넷 영향력의 강도를 결정하는 스칼라 값입니다. 값이 높을수록 더 두드러진 조정이 이루어집니다. | `FLOAT` | +| `시작 퍼센트` | 컨트롤 넷 효과의 시작 백분율로, 지정된 범위에 걸쳐 점진적으로 변환을 적용할 수 있게 합니다. | `FLOAT` | +| `종료 퍼센트` | 컨트롤 넷 효과의 종료 백분율로, 변환이 적용되는 범위를 정의합니다. 이를 통해 조정 과정을 보다 세밀하게 제어할 수 있습니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 컨트롤 넷 변환 적용 후 수정된 긍정 컨디셔닝 데이터로, 입력 매개변수에 기반한 개선 사항을 반영합니다. | `CONDITIONING` | +| `부정 조건` | 컨트롤 넷 변환 적용 후 수정된 부정 컨디셔닝 데이터로, 입력 매개변수에 기반한 특정 특징의 억제 또는 제거를 반영합니다. | `CONDITIONING` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplyAdvanced/ko.md) diff --git a/ko/built-in-nodes/ControlNetApplySD3.mdx b/ko/built-in-nodes/ControlNetApplySD3.mdx new file mode 100644 index 000000000..149445698 --- /dev/null +++ b/ko/built-in-nodes/ControlNetApplySD3.mdx @@ -0,0 +1,35 @@ +--- +title: "ControlNetApplySD3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ControlNetApplySD3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ControlNetApplySD3" +icon: "circle" +mode: wide +--- +이 노드는 ControlNet 안내(guidance)를 Stable Diffusion 3 컨디셔닝에 적용합니다. 긍정 및 부정 컨디셔닝 입력과 함께 ControlNet 모델 및 이미지를 입력받아, 조정 가능한 강도 및 타이밍 매개변수로 제어 안내를 적용하여 생성 과정에 영향을 줍니다. + +**참고:** 이 노드는 더 이상 사용되지 않음(deprecated)으로 표시되었으며, 향후 버전에서 제거될 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | ControlNet 안내를 적용할 긍정 컨디셔닝 | CONDITIONING | 예 | - | +| `부정 조건` | ControlNet 안내를 적용할 부정 컨디셔닝 | CONDITIONING | 예 | - | +| `컨트롤넷` | 안내에 사용할 ControlNet 모델 | CONTROL_NET | 예 | - | +| `vae` | 프로세스에 사용되는 VAE 모델 | VAE | 예 | - | +| `이미지` | ControlNet이 안내로 사용할 입력 이미지 | IMAGE | 예 | - | +| `강도` | ControlNet 효과의 강도 (기본값: 1.0) | FLOAT | 예 | 0.0 - 10.0 | +| `시작 퍼센트` | ControlNet이 적용되기 시작하는 생성 과정의 시작 지점 (기본값: 0.0) | FLOAT | 예 | 0.0 - 1.0 | +| `종료 퍼센트` | ControlNet 적용이 중단되는 생성 과정의 종료 지점 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | ControlNet 안내가 적용된 수정된 긍정 컨디셔닝 | CONDITIONING | +| `부정 조건` | ControlNet 안내가 적용된 수정된 부정 컨디셔닝 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplySD3/ko.md) + +--- +**Source fingerprint (SHA-256):** `7bd24b19c159374bc86a773be9b563760bfae7e10d3333596788dbc52ef2f294` diff --git a/ko/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx b/ko/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx new file mode 100644 index 000000000..457c3a90f --- /dev/null +++ b/ko/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx @@ -0,0 +1,38 @@ +--- +title: "ControlNetInpaintingAliMamaApply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ControlNetInpaintingAliMamaApply node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ControlNetInpaintingAliMamaApply" +icon: "circle" +mode: wide +--- +# ControlNetInpaintingAliMamaApply + +ControlNetInpaintingAliMamaApply 노드는 인페인팅 작업을 위해 ControlNet 컨디셔닝을 적용하여, 포지티브 및 네거티브 컨디셔닝을 제어 이미지 및 마스크와 결합합니다. 입력 이미지와 마스크를 처리하여 생성 과정을 안내하는 수정된 컨디셔닝을 생성하므로, 이미지의 어느 영역을 인페인팅할지 정밀하게 제어할 수 있습니다. 이 노드는 생성 과정의 여러 단계에서 ControlNet의 영향을 미세 조정하기 위한 강도 조정 및 타이밍 제어 기능을 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | 원하는 콘텐츠로 생성을 안내하는 포지티브 컨디셔닝 | CONDITIONING | 예 | - | +| `부정 조건` | 원하지 않는 콘텐츠에서 생성을 멀어지게 하는 네거티브 컨디셔닝 | CONDITIONING | 예 | - | +| `컨트롤넷` | 생성에 대한 추가 제어를 제공하는 ControlNet 모델 | CONTROL_NET | 예 | - | +| `vae` | 이미지 인코딩 및 디코딩에 사용되는 VAE(변이형 오토인코더) | VAE | 예 | - | +| `이미지` | ControlNet의 제어 안내 역할을 하는 입력 이미지 | IMAGE | 예 | - | +| `마스크` | 이미지에서 인페인팅할 영역을 정의하는 마스크 | MASK | 예 | - | +| `강도` | ControlNet 효과의 강도 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 10.0 | +| `시작 퍼센트` | 생성 중 ControlNet 영향이 시작되는 시점(백분율) (기본값: 0.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `종료 퍼센트` | 생성 중 ControlNet 영향이 종료되는 시점(백분율) (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | + +**참고:** ControlNet에서 `concat_mask`가 활성화된 경우, 마스크가 반전되어 처리 전 이미지에 적용되며, 마스크는 ControlNet으로 전송되는 추가 연결 데이터에 포함됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 인페인팅을 위해 ControlNet이 적용된 수정된 포지티브 컨디셔닝 | CONDITIONING | +| `부정 조건` | 인페인팅을 위해 ControlNet이 적용된 수정된 네거티브 컨디셔닝 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetInpaintingAliMamaApply/ko.md) + +--- +**Source fingerprint (SHA-256):** `30b49991b5ead039122a282fb48e3ed30477f89ce1430c371529bc42f921020d` diff --git a/ko/built-in-nodes/ControlNetLoader.mdx b/ko/built-in-nodes/ControlNetLoader.mdx new file mode 100644 index 000000000..83b7b52be --- /dev/null +++ b/ko/built-in-nodes/ControlNetLoader.mdx @@ -0,0 +1,24 @@ +--- +title: "ControlNetLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ControlNetLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ControlNetLoader" +icon: "circle" +mode: wide +--- +이 노드는 `ComfyUI/models/controlnet` 폴더에 있는 모델을 감지하며, extra_model_paths.yaml 파일에 설정된 추가 경로의 모델도 함께 읽어옵니다. 때로는 **ComfyUI 인터페이스를 새로고침**하여 해당 폴더에서 모델 파일을 읽도록 해야 할 수도 있습니다. + +ControlNetLoader 노드는 지정된 경로에서 ControlNet 모델을 로드하도록 설계되었습니다. 이 노드는 생성된 콘텐츠에 제어 메커니즘을 적용하거나 제어 신호를 기반으로 기존 콘텐츠를 수정하는 데 필수적인 ControlNet 모델을 초기화하는 중요한 역할을 합니다. + +## 입력 + +| 필드 | 설명 | Comfy 데이터 타입 | +| --- | --- | --- | +| `컨트롤넷 파일명` | 로드할 ControlNet 모델의 이름을 지정하며, 미리 정의된 디렉터리 구조 내에서 모델 파일을 찾는 데 사용됩니다. | `COMBO[STRING]` | + +## 출력 + +| 필드 | 설명 | Comfy 데이터 타입 | +| --- | --- | --- | +| `control_net` | 로드된 ControlNet 모델을 반환하며, 콘텐츠 생성 프로세스를 제어하거나 수정하는 데 사용할 준비가 됩니다. | `CONTROL_NET` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetLoader/ko.md) diff --git a/ko/built-in-nodes/ConvertStringToComboNode.mdx b/ko/built-in-nodes/ConvertStringToComboNode.mdx new file mode 100644 index 000000000..f44c553b5 --- /dev/null +++ b/ko/built-in-nodes/ConvertStringToComboNode.mdx @@ -0,0 +1,27 @@ +--- +title: "ConvertStringToComboNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConvertStringToComboNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ConvertStringToComboNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConvertStringToComboNode/en.md) + +Convert String to Combo 노드는 텍스트 문자열을 입력으로 받아 Combo 데이터 유형으로 변환합니다. 이를 통해 Combo 입력이 필요한 다른 노드에서 텍스트 값을 선택 항목으로 사용할 수 있습니다. 문자열 값을 변경하지 않고 그대로 전달하되 데이터 유형만 변경합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `string` | Combo 유형으로 변환할 텍스트 문자열입니다. | STRING | 예 | 해당 없음 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `output` | 입력 문자열이 이제 Combo 데이터 유형으로 형식화되었습니다. | COMBO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConvertStringToComboNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `37bd7db5a5ce2657db30a3a24da90c1c1e5c4a3f7089b4d03a0528b7770e9fe1` diff --git a/ko/built-in-nodes/CosmosImageToVideoLatent.mdx b/ko/built-in-nodes/CosmosImageToVideoLatent.mdx new file mode 100644 index 000000000..38189dd26 --- /dev/null +++ b/ko/built-in-nodes/CosmosImageToVideoLatent.mdx @@ -0,0 +1,33 @@ +--- +title: "CosmosImageToVideoLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CosmosImageToVideoLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CosmosImageToVideoLatent" +icon: "circle" +mode: wide +--- +CosmosImageToVideoLatent 노드는 입력 이미지로부터 비디오 잠재 표현을 생성합니다. 빈 비디오 잠재를 생성하고, 선택적으로 시작 및/또는 종료 이미지를 비디오 시퀀스의 첫 프레임과 마지막 프레임에 인코딩합니다. 이미지가 제공되면, 생성 중에 잠재의 어느 부분을 보존해야 하는지 나타내는 해당 노이즈 마스크도 함께 생성됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `vae` | 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - | +| `너비` | 출력 비디오의 픽셀 단위 너비 (기본값: 1280) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오의 픽셀 단위 높이 (기본값: 704) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 비디오 시퀀스의 프레임 수 (기본값: 121) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 생성할 잠재 배치 수 (기본값: 1) | INT | 예 | 1 ~ 4096 | +| `시작 이미지` | 비디오 시퀀스 시작 부분에 인코딩할 선택적 이미지 | IMAGE | 아니요 | - | +| `끝 이미지` | 비디오 시퀀스 끝 부분에 인코딩할 선택적 이미지 | IMAGE | 아니요 | - | + +**참고:** `start_image`와 `end_image`가 모두 제공되지 않으면, 노드는 노이즈 마스크 없이 빈 잠재를 반환합니다. 이미지가 하나라도 제공되면, 잠재의 해당 부분이 인코딩되고 그에 따라 마스킹됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 선택적으로 인코딩된 이미지와 해당 노이즈 마스크가 포함된 생성된 비디오 잠재 표현 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosImageToVideoLatent/ko.md) + +--- +**Source fingerprint (SHA-256):** `31ce4dc577c672e0b3dc0bfb6644b2ef7ab737f6c4ee5e0677973b6a4efdd66d` diff --git a/ko/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx b/ko/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx new file mode 100644 index 000000000..3033dd5f8 --- /dev/null +++ b/ko/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx @@ -0,0 +1,34 @@ +--- +title: "CosmosPredict2ImageToVideoLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CosmosPredict2ImageToVideoLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CosmosPredict2ImageToVideoLatent" +icon: "circle" +mode: wide +--- +CosmosPredict2ImageToVideoLatent 노드는 이미지로부터 비디오 생성을 위한 비디오 잠재 표현을 생성합니다. 빈 비디오 잠재 표현을 생성하거나 시작 이미지와 종료 이미지를 통합하여 지정된 크기와 길이의 비디오 시퀀스를 생성할 수 있습니다. 이 노드는 이미지를 비디오 처리에 적합한 잠재 공간 형식으로 인코딩합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `vae` | 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - | +| `width` | 출력 비디오의 픽셀 단위 너비 (기본값: 848, 16으로 나누어 떨어져야 함) | INT | 아니요 | 16 ~ MAX_RESOLUTION | +| `height` | 출력 비디오의 픽셀 단위 높이 (기본값: 480, 16으로 나누어 떨어져야 함) | INT | 아니요 | 16 ~ MAX_RESOLUTION | +| `length` | 비디오 시퀀스의 프레임 수 (기본값: 93, 단계: 4) | INT | 아니요 | 1 ~ MAX_RESOLUTION | +| `batch_size` | 생성할 비디오 시퀀스의 개수 (기본값: 1) | INT | 아니요 | 1 ~ 4096 | +| `start_image` | 비디오 시퀀스의 선택적 시작 이미지 | IMAGE | 아니요 | - | +| `end_image` | 비디오 시퀀스의 선택적 종료 이미지 | IMAGE | 아니요 | - | + +**참고:** `start_image`와 `end_image`가 모두 제공되지 않으면 노드는 빈 비디오 잠재 표현을 생성합니다. 이미지가 제공되면 해당 이미지가 인코딩되어 적절한 마스킹과 함께 비디오 시퀀스의 시작 및/또는 끝에 배치됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `samples` | 인코딩된 비디오 시퀀스를 포함하는 생성된 비디오 잠재 표현 | LATENT | +| `noise_mask` | 생성 중 잠재 표현의 어떤 부분을 보존해야 하는지 나타내는 마스크 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosPredict2ImageToVideoLatent/ko.md) + +--- +**Source fingerprint (SHA-256):** `55fab16180c0e3fa254bcc77694dbc666810b28522e61b9c613f720fae66bd0c` diff --git a/ko/built-in-nodes/CreateCameraInfo.mdx b/ko/built-in-nodes/CreateCameraInfo.mdx new file mode 100644 index 000000000..d667c1cca --- /dev/null +++ b/ko/built-in-nodes/CreateCameraInfo.mdx @@ -0,0 +1,66 @@ +--- +title: "CreateCameraInfo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateCameraInfo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CreateCameraInfo" +icon: "circle" +mode: wide +--- +# 카메라 정보 생성 + +카메라 정보 생성 노드는 3D 렌더링을 위한 카메라 정보 구조를 구축합니다. 카메라 정의를 위해 세 가지 모드를 지원합니다: 궤도(대상 주위의 요/피치/거리), 시점(명시적 월드 위치), 쿼터니언(위치 및 회전). 좌표계는 Y축이 위쪽 방향인 오른손 좌표계입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `mode` | 카메라 정의 방식: 궤도 각도, 명시적 위치, 또는 위치+쿼터니언 | COMBO | 예 | `"orbit"`
`"look_at"`
`"quaternion"` | +| `target_x` | 시점 대상(궤도 회전 중심/조준점). 궤도 모드에서는 이를 이동하여 전체 카메라를 팬/이동합니다. 쿼터니언 모드에서는 무시됩니다. 기본값은 원점입니다. (기본값: 0.0) | FLOAT | 아니요 | -1000.0 ~ 1000.0 | +| `target_y` | 대상 지점의 Y 구성 요소입니다. (기본값: 0.0) | FLOAT | 아니요 | -1000.0 ~ 1000.0 | +| `target_z` | 대상 지점의 Z 구성 요소입니다. (기본값: 0.0) | FLOAT | 아니요 | -1000.0 ~ 1000.0 | +| `roll` | 시선 축에 대한 카메라 롤(도 단위)입니다. (기본값: 0.0) | FLOAT | 아니요 | -180.0 ~ 180.0 | +| `fov` | 수직 시야각(도 단위)입니다. (기본값: 35.0) | FLOAT | 아니요 | 1.0 ~ 120.0 | +| `zoom` | 디지털 줌(초점 거리 배율)입니다. 1보다 큰 값은 카메라를 이동하지 않고 확대합니다. (기본값: 1.0) | FLOAT | 아니요 | 0.01 ~ 100.0 | +| `camera_type` | Render Splat에서 사용하는 투영 방식: 원근(원근 단축) 또는 직교(평행)입니다. (기본값: "perspective") | COMBO | 아니요 | `"perspective"`
`"orthographic"` | + +### 모드별 매개변수 + +`mode`가 `"orbit"`으로 설정된 경우 다음 매개변수를 사용할 수 있습니다: + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `yaw` | 대상 주위의 수평 회전 각도입니다. (기본값: 35.0) | FLOAT | 예 | -360.0 ~ 360.0 | +| `pitch` | 대상 주위의 수직 회전 각도입니다. (기본값: 30.0) | FLOAT | 예 | -89.0 ~ 89.0 | +| `distance` | 대상으로부터의 카메라 거리입니다. (기본값: 4.0) | FLOAT | 예 | 0.01 ~ 1000.0 | + +`mode`가 `"look_at"`으로 설정된 경우 다음 매개변수를 사용할 수 있습니다: + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `position_x` | 월드 공간에서의 카메라 위치(오른손 좌표계, Y축 위쪽)입니다. (기본값: 4.0) | FLOAT | 예 | -1000.0 ~ 1000.0 | +| `position_y` | 카메라 위치의 Y 구성 요소입니다. (기본값: 4.0) | FLOAT | 예 | -1000.0 ~ 1000.0 | +| `position_z` | 카메라 위치의 Z 구성 요소입니다. (기본값: 4.0) | FLOAT | 예 | -1000.0 ~ 1000.0 | + +`mode`가 `"quaternion"`으로 설정된 경우 다음 매개변수를 사용할 수 있습니다: + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `position_x` | 월드 공간에서의 카메라 위치(오른손 좌표계, Y축 위쪽)입니다. (기본값: 4.0) | FLOAT | 예 | -1000.0 ~ 1000.0 | +| `position_y` | 카메라 위치의 Y 구성 요소입니다. (기본값: 4.0) | FLOAT | 예 | -1000.0 ~ 1000.0 | +| `position_z` | 카메라 위치의 Z 구성 요소입니다. (기본값: 4.0) | FLOAT | 예 | -1000.0 ~ 1000.0 | +| `quat_x` | 카메라 월드 회전 쿼터니언의 X 구성 요소입니다. (기본값: 0.0) | FLOAT | 예 | -1.0 ~ 1.0 | +| `quat_y` | 카메라 월드 회전 쿼터니언의 Y 구성 요소입니다. (기본값: 0.0) | FLOAT | 예 | -1.0 ~ 1.0 | +| `quat_z` | 카메라 월드 회전 쿼터니언의 Z 구성 요소입니다. (기본값: 0.0) | FLOAT | 예 | -1.0 ~ 1.0 | +| `quat_w` | 카메라 월드 회전 쿼터니언(three.js: 로컬 -Z 방향을 바라봄)입니다. 자동으로 정규화됩니다. (기본값: 1.0) | FLOAT | 예 | -1.0 ~ 1.0 | + +**참고:** `mode`가 `"quaternion"`으로 설정된 경우 `target_x`, `target_y`, `target_z` 매개변수는 무시됩니다. `"orbit"` 모드에서는 이러한 대상 매개변수가 카메라가 궤도 운동하는 회전 중심점을 정의합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `camera_info` | 3D 렌더링을 위한 위치, 회전, 시야각, 줌 및 투영 유형을 포함하는 카메라 정보 구조입니다. | LOAD3DCAMERA | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateCameraInfo/ko.md) + +--- +**Source fingerprint (SHA-256):** `577c114130f72b753d5f15775fe05b3e1e734f5865cca32c576d042583f8e873` diff --git a/ko/built-in-nodes/CreateHookKeyframe.mdx b/ko/built-in-nodes/CreateHookKeyframe.mdx new file mode 100644 index 000000000..15309be1a --- /dev/null +++ b/ko/built-in-nodes/CreateHookKeyframe.mdx @@ -0,0 +1,29 @@ +--- +title: "CreateHookKeyframe - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookKeyframe node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CreateHookKeyframe" +icon: "circle" +mode: wide +--- +# Create Hook Keyframe (후크 키프레임 생성) + +Create Hook Keyframe 노드는 생성 과정에서 후크 동작이 변경되는 특정 지점을 정의할 수 있게 해줍니다. 이 노드는 생성 진행률의 특정 백분율 지점에서 후크 강도를 수정하는 키프레임을 생성하며, 이러한 키프레임들을 연결하여 복잡한 스케줄링 패턴을 만들 수 있습니다. + +## 입력 (Inputs) + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `강도 곱` | 이 키프레임에서 후크 강도에 적용할 배수 (기본값: 1.0) | FLOAT | 예 | -20.0 ~ 20.0 | +| `시작 퍼센트` | 이 키프레임이 적용되는 생성 과정의 백분율 지점 (기본값: 0.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `이전 KF 후크` | 이 키프레임을 추가할 이전 후크 키프레임 그룹 (선택 사항) | HOOK_KEYFRAMES | 아니요 | - | + +## 출력 (Outputs) + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `HOOK_KF` | 새로 생성된 키프레임을 포함한 후크 키프레임 그룹 | HOOK_KEYFRAMES | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframe/ko.md) + +--- +**Source fingerprint (SHA-256):** `51893311a0623cafcf8c2d8af00e4005ca2fea2df9474e87d7d4b332b38435c3` diff --git a/ko/built-in-nodes/CreateHookKeyframesFromFloats.mdx b/ko/built-in-nodes/CreateHookKeyframesFromFloats.mdx new file mode 100644 index 000000000..59224803d --- /dev/null +++ b/ko/built-in-nodes/CreateHookKeyframesFromFloats.mdx @@ -0,0 +1,33 @@ +--- +title: "CreateHookKeyframesFromFloats - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookKeyframesFromFloats node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CreateHookKeyframesFromFloats" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesFromFloats/en.md) + +이 노드는 부동소수점 강도 값 목록에서 후크 키프레임을 생성하며, 지정된 시작 및 종료 백분율 사이에 균등하게 분배합니다. 각 강도 값이 애니메이션 타임라인의 특정 백분율 위치에 할당된 키프레임 시퀀스를 생성합니다. 이 노드는 새 키프레임 그룹을 생성하거나 기존 그룹에 추가할 수 있으며, 디버깅 목적으로 생성된 키프레임을 출력하는 옵션을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `실수 강도` | 키프레임의 강도 값을 나타내는 단일 부동소수점 값 또는 부동소수점 값 목록입니다(기본값: -1) | FLOATS | 예 | -1 ~ ∞ | +| `시작 퍼센트` | 타임라인에서 첫 번째 키프레임의 시작 백분율 위치입니다(기본값: 0.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `종료 퍼센트` | 타임라인에서 마지막 키프레임의 종료 백분율 위치입니다(기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `키프레임 출력` | 활성화하면 생성된 키프레임 정보를 콘솔에 출력합니다(기본값: False) | BOOLEAN | 예 | True/False | +| `이전 KF 후크` | 새 키프레임을 추가할 기존 후크 키프레임 그룹입니다. 제공되지 않으면 새 그룹을 생성합니다 | HOOK_KEYFRAMES | 아니요 | - | + +**참고:** `floats_strength` 매개변수는 단일 부동소수점 값 또는 반복 가능한 부동소수점 값 목록을 허용합니다. 키프레임은 제공된 강도 값 수에 따라 `start_percent`와 `end_percent` 사이에 선형으로 분배됩니다. 첫 번째 키프레임은 적용을 보장하기 위해 최소 한 단계를 갖습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `HOOK_KF` | 새로 생성된 키프레임을 포함하는 후크 키프레임 그룹입니다. 새 그룹이거나 입력 키프레임 그룹에 추가된 그룹입니다 | HOOK_KEYFRAMES | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesFromFloats/ko.md) + +--- +**Source fingerprint (SHA-256):** `566864ec72062d913d95b38b3c53c655d4fdd971a01c4bec54669850b2feddc8` diff --git a/ko/built-in-nodes/CreateHookKeyframesInterpolated.mdx b/ko/built-in-nodes/CreateHookKeyframesInterpolated.mdx new file mode 100644 index 000000000..cc7958a99 --- /dev/null +++ b/ko/built-in-nodes/CreateHookKeyframesInterpolated.mdx @@ -0,0 +1,34 @@ +--- +title: "CreateHookKeyframesInterpolated - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookKeyframesInterpolated node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CreateHookKeyframesInterpolated" +icon: "circle" +mode: wide +--- +# CreateHookKeyframesInterpolated + +시작점과 끝점 사이에 보간된 강도 값을 사용하여 후크 키프레임 시퀀스를 생성합니다. 이 노드는 생성 과정의 지정된 백분율 범위에 걸쳐 강도 매개변수가 부드럽게 전환되는 여러 키프레임을 생성하며, 다양한 보간 방법을 사용하여 전환 곡선을 제어합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `시작 강도` | 보간 시퀀스의 시작 강도 값 (기본값: 1.0) | FLOAT | 예 | 0.0 - 10.0 | +| `종료 강도` | 보간 시퀀스의 종료 강도 값 (기본값: 1.0) | FLOAT | 예 | 0.0 - 10.0 | +| `보간` | 강도 값 사이를 전환하는 데 사용되는 보간 방법 (기본값: LINEAR) | COMBO | 예 | `LINEAR`
`EASE_IN`
`EASE_OUT`
`EASE_IN_OUT`
`EASE_OUT_IN`
`SINE`
`CUBIC`
`QUARTIC`
`QUINTIC`
`EXPO`
`CIRC`
`BACK`
`BOUNCE`
`ELASTIC` | +| `시작 퍼센트` | 생성 과정에서 시작 백분율 위치 (기본값: 0.0) | FLOAT | 예 | 0.0 - 1.0 | +| `종료 퍼센트` | 생성 과정에서 종료 백분율 위치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `키프레임 카운트` | 보간 시퀀스에서 생성할 키프레임 수 (기본값: 5) | INT | 예 | 2 - 100 | +| `키프레임 출력` | 생성된 키프레임 정보를 로그에 출력할지 여부 (기본값: False) | BOOLEAN | 예 | True/False | +| `이전 KF 후크` | 추가할 이전 후크 키프레임 그룹 (선택 사항) | HOOK_KEYFRAMES | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `HOOK_KF` | 보간된 시퀀스를 포함하는 생성된 후크 키프레임 그룹 | HOOK_KEYFRAMES | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesInterpolated/ko.md) + +--- +**Source fingerprint (SHA-256):** `f90c96745ca1f02bbb02e08d2d82be1bbb1f3c80ac5d53a4c6bc07a0e2b8d76f` diff --git a/ko/built-in-nodes/CreateHookLora.mdx b/ko/built-in-nodes/CreateHookLora.mdx new file mode 100644 index 000000000..511215d96 --- /dev/null +++ b/ko/built-in-nodes/CreateHookLora.mdx @@ -0,0 +1,35 @@ +--- +title: "CreateHookLora - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookLora node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CreateHookLora" +icon: "circle" +mode: wide +--- +# Create Hook LoRA 노드 + +Create Hook LoRA 노드는 모델에 LoRA(Low-Rank Adaptation) 수정을 적용하기 위한 훅 객체를 생성합니다. 지정된 LoRA 파일을 로드하고 모델 및 CLIP 강도를 조정할 수 있는 훅을 만든 다음, 전달된 기존 훅과 결합합니다. 이 노드는 이전에 로드된 LoRA 파일을 캐싱하여 중복 작업을 방지함으로써 LoRA 로딩을 효율적으로 관리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `LoRA 파일명` | loras 디렉토리에서 로드할 LoRA 파일의 이름 | STRING | 예 | 여러 옵션 사용 가능 | +| `모델 강도` | 모델 조정을 위한 강도 배율 (기본값: 1.0) | FLOAT | 예 | -20.0 ~ 20.0 | +| `CLIP 강도` | CLIP 조정을 위한 강도 배율 (기본값: 1.0) | FLOAT | 예 | -20.0 ~ 20.0 | +| `이전 후크` | 새로운 LoRA 훅과 결합할 선택적 기존 훅 그룹 | HOOKS | 아니요 | 해당 없음 | + +**매개변수 제약 조건:** + +- `strength_model`과 `strength_clip`이 모두 0으로 설정된 경우, 노드는 새 LoRA 훅 생성을 건너뛰고 기존 훅을 변경 없이 반환합니다 +- 동일한 LoRA가 반복적으로 사용될 때 성능을 최적화하기 위해 마지막으로 로드된 LoRA 파일을 캐싱합니다 + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `HOOKS` | 결합된 LoRA 훅과 이전 훅을 포함하는 훅 그룹 | HOOKS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLora/ko.md) + +--- +**Source fingerprint (SHA-256):** `42d5d776bfc9b239191952e2bce23513d183f904fc3c15039469381a547486f8` diff --git a/ko/built-in-nodes/CreateHookLoraModelOnly.mdx b/ko/built-in-nodes/CreateHookLoraModelOnly.mdx new file mode 100644 index 000000000..6b1d29a20 --- /dev/null +++ b/ko/built-in-nodes/CreateHookLoraModelOnly.mdx @@ -0,0 +1,29 @@ +--- +title: "CreateHookLoraModelOnly - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookLoraModelOnly node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CreateHookLoraModelOnly" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLoraModelOnly/en.md) + +이 노드는 모델 구성 요소에만 적용되는 LoRA(Low-Rank Adaptation) 후크를 생성하며, CLIP 구성 요소는 완전히 변경되지 않은 상태로 유지합니다. LoRA 파일을 로드하고 지정된 강도로 모델에 적용하는 동시에 CLIP 강도를 0으로 설정합니다. 이 노드는 이전 후크와 연결되어 복잡한 수정 파이프라인을 구축할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `LoRA 파일명` | loras 폴더에서 로드할 LoRA 파일의 이름입니다 | STRING | 예 | 여러 옵션 사용 가능 | +| `모델 강도` | 모델 구성 요소에 LoRA를 적용할 강도 승수입니다 (기본값: 1.0) | FLOAT | 예 | -20.0 ~ 20.0 | +| `이전 후크` | 이 후크와 연결할 선택적 이전 후크입니다 | HOOKS | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `hooks` | 모델 처리에 적용할 수 있는 생성된 LoRA 후크입니다 | HOOKS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLoraModelOnly/ko.md) + +--- +**Source fingerprint (SHA-256):** `10adbdfc2e37fcf317e93130f87d9a7038d00b091cb6d1b45f4658c81632ef80` diff --git a/ko/built-in-nodes/CreateHookModelAsLora.mdx b/ko/built-in-nodes/CreateHookModelAsLora.mdx new file mode 100644 index 000000000..acd39ecd3 --- /dev/null +++ b/ko/built-in-nodes/CreateHookModelAsLora.mdx @@ -0,0 +1,37 @@ +--- +title: "CreateHookModelAsLora - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookModelAsLora node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CreateHookModelAsLora" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLora/en.md) + +이 노드는 체크포인트 가중치를 로드하고 모델 및 CLIP 구성 요소에 강도 조정을 적용하여 LoRA(저차 적응) 방식의 훅 모델을 생성합니다. 훅 기반 접근 방식을 통해 기존 모델에 LoRA 스타일 수정을 적용할 수 있어, 영구적인 모델 변경 없이 미세 조정 및 적응이 가능합니다. 이 노드는 이전 훅과 결합할 수 있으며, 로드된 가중치를 캐싱하여 효율성을 높입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `체크포인트 파일명` | 가중치를 로드할 체크포인트 파일 (사용 가능한 체크포인트 중에서 선택) | STRING | 예 | 여러 옵션 사용 가능 | +| `모델 강도` | 모델 가중치에 적용되는 강도 배율 (기본값: 1.0) | FLOAT | 예 | -20.0 ~ 20.0 | +| `CLIP 강도` | CLIP 가중치에 적용되는 강도 배율 (기본값: 1.0) | FLOAT | 예 | -20.0 ~ 20.0 | +| `이전 후크` | 새로 생성된 LoRA 훅과 결합할 선택적 이전 훅 | HOOKS | 아니요 | - | + +**매개변수 제약 조건:** + +- `ckpt_name` 매개변수는 사용 가능한 체크포인트 폴더에서 체크포인트를 로드합니다. +- 두 강도 매개변수 모두 -20.0에서 20.0 사이의 값을 허용하며, 0.01 단위로 증가합니다. +- `prev_hooks`가 제공되지 않으면 노드는 새 훅 그룹을 생성합니다. +- 노드는 로드된 가중치를 캐싱하여 동일한 체크포인트를 여러 번 다시 로드하는 것을 방지합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `HOOKS` | 생성된 LoRA 훅으로, 제공된 경우 이전 훅과 결합됩니다. | HOOKS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLora/ko.md) + +--- +**Source fingerprint (SHA-256):** `8c0dd6b2e8e99e1d7dbc864aa802c0713842fb0d4ee018ea5cbedfb7896a770d` diff --git a/ko/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx b/ko/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx new file mode 100644 index 000000000..c97423b20 --- /dev/null +++ b/ko/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx @@ -0,0 +1,29 @@ +--- +title: "CreateHookModelAsLoraModelOnly - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookModelAsLoraModelOnly node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CreateHookModelAsLoraModelOnly" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLoraModelOnly/en.md) + +이 노드는 LoRA(저차원 적응) 모델을 적용하여 신경망의 모델 구성 요소만 수정하는 훅을 생성합니다. 체크포인트 파일을 로드하고 지정된 강도로 모델에 적용하며, CLIP 구성 요소는 변경하지 않습니다. 이는 기본 CreateHookModelAsLora 클래스의 기능을 확장한 실험적 노드입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `체크포인트 파일명` | LoRA 모델로 로드할 체크포인트 파일입니다. 사용 가능한 옵션은 체크포인트 폴더 내용에 따라 달라집니다. | STRING | 예 | 여러 옵션 사용 가능 | +| `모델 강도` | 모델 구성 요소에 LoRA를 적용할 강도 승수입니다(기본값: 1.0) | FLOAT | 예 | -20.0 ~ 20.0 | +| `이전 후크` | 이 훅과 연결할 이전 훅(선택 사항) | HOOKS | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `hooks` | LoRA 모델 수정이 포함된 생성된 훅 그룹입니다. | HOOKS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLoraModelOnly/ko.md) + +--- +**Source fingerprint (SHA-256):** `adbeaede65aa89d48c59225ca1c8edc4c9394a364f93a00dae4a83a2270f093b` diff --git a/ko/built-in-nodes/CreateList.mdx b/ko/built-in-nodes/CreateList.mdx new file mode 100644 index 000000000..8cb6c778c --- /dev/null +++ b/ko/built-in-nodes/CreateList.mdx @@ -0,0 +1,29 @@ +--- +title: "CreateList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateList node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CreateList" +icon: "circle" +mode: wide +--- +**Create List (목록 생성)** + +Create List 노드는 여러 입력을 하나의 순차적인 목록으로 결합합니다. 동일한 데이터 타입의 여러 입력을 받아 연결된 순서대로 연결합니다. 이 노드는 워크플로우에서 다른 노드가 처리할 이미지나 텍스트와 같은 데이터 배치를 준비하는 데 유용합니다. + +## 입력 (Inputs) + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `input_*` | 가변 개수의 입력 슬롯입니다. 더하기(+) 아이콘을 클릭하여 입력을 추가할 수 있습니다. 모든 입력은 동일한 데이터 타입(예: 모두 IMAGE 또는 모두 STRING)이어야 합니다. | 다양함 | 예 | 모든 값 | + +**참고:** 노드는 항목을 연결할 때 자동으로 새 입력 슬롯을 생성합니다. 노드가 올바르게 작동하려면 연결된 모든 입력이 동일한 데이터 타입을 공유해야 합니다. + +## 출력 (Outputs) + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `list` | 연결된 입력의 모든 항목을 제공된 순서대로 연결한 단일 목록입니다. 출력 데이터 타입은 입력 데이터 타입과 일치합니다. | 다양함 | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateList/ko.md) + +--- +**Source fingerprint (SHA-256):** `d0e10c4d1186e694a72b18407c34cc1df74f77d02c989b507af75594c1a0794e` diff --git a/ko/built-in-nodes/CreateVideo.mdx b/ko/built-in-nodes/CreateVideo.mdx new file mode 100644 index 000000000..18d54d49e --- /dev/null +++ b/ko/built-in-nodes/CreateVideo.mdx @@ -0,0 +1,29 @@ +--- +title: "CreateVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CreateVideo" +icon: "circle" +mode: wide +--- +# Create Video 노드 + +Create Video 노드는 이미지 시퀀스로부터 비디오 파일을 생성합니다. 초당 프레임 수를 사용하여 재생 속도를 지정할 수 있으며, 선택적으로 비디오에 오디오를 추가할 수 있습니다. 이 노드는 이미지들을 지정된 프레임 속도로 재생 가능한 비디오 형식으로 결합합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 비디오를 생성할 이미지들입니다. | IMAGE | 예 | - | +| `fps` | 비디오 재생 속도의 초당 프레임 수입니다 (기본값: 30.0). | FLOAT | 예 | 1.0 - 120.0 | +| `오디오` | 비디오에 추가할 오디오입니다. | AUDIO | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력 이미지와 선택적 오디오가 포함된 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `6da9a09542b5e357c0180c30018ec10facf06d1bdd3e4edee8172b8426802e3d` diff --git a/ko/built-in-nodes/CropByBBoxes.mdx b/ko/built-in-nodes/CropByBBoxes.mdx new file mode 100644 index 000000000..f8da8e28d --- /dev/null +++ b/ko/built-in-nodes/CropByBBoxes.mdx @@ -0,0 +1,32 @@ +--- +title: "CropByBBoxes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CropByBBoxes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CropByBBoxes" +icon: "circle" +mode: wide +--- +CropByBBoxes 노드는 입력 이미지 배치에서 특정 직사각형 영역을 추출하고 크기를 조정합니다. 제공된 경계 상자 좌표를 사용하여 각 이미지에서 자를 영역을 정의합니다. 잘린 영역은 지정된 출력 크기로 조정되며, 자른 영역을 늘리거나 원본 종횡비를 유지하도록 패딩하는 옵션이 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 자를 입력 이미지 배치입니다. | IMAGE | 예 | - | +| `bboxes` | 자를 영역을 정의하는 경계 상자 목록입니다. 이 입력은 강제 연결되어야 합니다. | BOUNDINGBOX | 예 | - | +| `output_width` | 각 자른 영역의 너비 조정 크기입니다(기본값: 512). | INT | 아니요 | 64 - 4096 | +| `output_height` | 각 자른 영역의 높이 조정 크기입니다(기본값: 512). | INT | 아니요 | 64 - 4096 | +| `padding` | 자르기 전 경계 상자 각 측면에 추가되는 픽셀 단위 여백입니다(기본값: 0). | INT | 아니요 | 0 - 1024 | +| `keep_aspect` | 자른 영역을 출력 크기에 맞게 늘릴지, 아니면 검은색 픽셀로 패딩하여 종횡비를 유지할지 선택합니다(기본값: "stretch"). | COMBO | 아니요 | `"stretch"`
`"pad"` | + +**참고:** 이 노드는 한 번에 하나의 이미지 프레임을 처리합니다. 단일 프레임에 여러 경계 상자가 제공되면, 모든 상자의 합집합(모든 상자를 포함하는 가장 작은 직사각형)인 단일 자르기 영역을 계산합니다. 계산된 자르기 영역이 유효하지 않은 경우(예: 너비 또는 높이가 0인 경우), 노드는 이미지의 중앙 상단에서 대체 자르기 영역을 생성합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 모든 자르기 및 크기 조정된 영역이 단일 이미지 배치로 결합된 결과입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropByBBoxes/ko.md) + +--- +**Source fingerprint (SHA-256):** `9c0b3078405567911731c42e1873c57c77363e21ef6805769730667c811b0a0b` diff --git a/ko/built-in-nodes/CropMask.mdx b/ko/built-in-nodes/CropMask.mdx new file mode 100644 index 000000000..13c8fb71b --- /dev/null +++ b/ko/built-in-nodes/CropMask.mdx @@ -0,0 +1,26 @@ +--- +title: "CropMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CropMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CropMask" +icon: "circle" +mode: wide +--- +CropMask 노드는 주어진 마스크에서 지정된 영역을 자르기 위해 설계되었습니다. 사용자는 좌표와 크기를 지정하여 관심 영역을 정의할 수 있으며, 이를 통해 마스크의 일부를 효과적으로 추출하여 추가 처리 또는 분석에 사용할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `마스크` | 마스크 입력은 자를 마스크 이미지를 나타냅니다. 지정된 좌표와 크기에 따라 추출할 영역을 정의하는 데 필수적입니다. | MASK | +| `x` | x 좌표는 자르기를 시작할 수평 축의 시작점을 지정합니다. | INT | +| `y` | y 좌표는 자르기 작업을 위한 수직 축의 시작점을 결정합니다. | INT | +| `너비` | 너비는 시작점에서 자를 영역의 수평 범위를 정의합니다. | INT | +| `높이` | 높이는 시작점에서 자를 영역의 수직 범위를 지정합니다. | INT | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `마스크` | 출력은 잘린 마스크로, 지정된 좌표와 크기에 의해 정의된 원본 마스크의 일부입니다. | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropMask/ko.md) diff --git a/ko/built-in-nodes/CurveEditor.mdx b/ko/built-in-nodes/CurveEditor.mdx new file mode 100644 index 000000000..1b076d0d8 --- /dev/null +++ b/ko/built-in-nodes/CurveEditor.mdx @@ -0,0 +1,26 @@ +--- +title: "CurveEditor - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CurveEditor node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CurveEditor" +icon: "circle" +mode: wide +--- +Curve Editor 노드는 곡선을 조정하고 미세 조정할 수 있는 시각적 인터페이스를 제공합니다. 입력 곡선의 형태를 수정할 수 있으며, 선택적으로 히스토그램을 통해 분포를 시각화할 수 있습니다. 이 노드는 수정된 곡선을 출력하여 워크플로우의 다른 부분에서 사용할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `곡선` | 편집할 입력 곡선입니다. | CURVE | 예 | 해당 없음 | +| `히스토그램` | 시각적 참조를 위해 곡선과 함께 표시할 선택적 히스토그램입니다. | HISTOGRAM | 아니요 | 해당 없음 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `곡선` | 노드 인터페이스에서 조정을 수행한 후의 편집된 곡선입니다. | CURVE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CurveEditor/ko.md) + +--- +**Source fingerprint (SHA-256):** `34cf36a5b934c44ebfce0b81e7c515f1b31fb17f3b7e1ad52255d1d72f68240b` diff --git a/ko/built-in-nodes/CustomCombo.mdx b/ko/built-in-nodes/CustomCombo.mdx new file mode 100644 index 000000000..07189dffd --- /dev/null +++ b/ko/built-in-nodes/CustomCombo.mdx @@ -0,0 +1,31 @@ +--- +title: "CustomCombo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CustomCombo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CustomCombo" +icon: "circle" +mode: wide +--- +# Custom Combo 노드 + +Custom Combo 노드를 사용하면 사용자 정의 텍스트 옵션 목록이 포함된 드롭다운 메뉴를 만들 수 있습니다. 이 노드는 워크플로우 내에서 호환성을 보장하기 위해 백엔드 표현을 제공하는 프론트엔드 중심 노드입니다. 드롭다운에서 옵션을 선택하면 노드는 해당 텍스트를 문자열로 출력하고 해당 인덱스 위치도 함께 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `선택` | 사용자 정의 드롭다운에서 선택한 텍스트 옵션입니다. 사용 가능한 옵션 목록은 노드의 프론트엔드 인터페이스에서 사용자가 정의합니다. | COMBO | 예 | 사용자 정의 | +| `index` | 인덱스를 지정하는 데 사용할 수 있는 정수 값입니다. 기본값: 0. | INT | 아니요 | 0 | + +**참고:** 이 노드 입력에 대한 유효성 검사는 의도적으로 비활성화되어 있습니다. 이를 통해 백엔드에서 선택 항목이 미리 정의된 목록에 속하는지 확인하지 않고 프론트엔드에서 원하는 사용자 정의 텍스트 옵션을 자유롭게 정의할 수 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `INDEX` | 사용자 정의 콤보 상자에서 선택한 옵션의 텍스트 문자열입니다. | STRING | +| `INDEX` | 드롭다운 목록에서 선택한 옵션의 인덱스 위치입니다. | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CustomCombo/ko.md) + +--- +**Source fingerprint (SHA-256):** `d950207b94deee37abce294eb3dab035e622925dc1118fe37f9c874784dc1672` diff --git a/ko/built-in-nodes/DCTestNode.mdx b/ko/built-in-nodes/DCTestNode.mdx new file mode 100644 index 000000000..491a4890e --- /dev/null +++ b/ko/built-in-nodes/DCTestNode.mdx @@ -0,0 +1,37 @@ +--- +title: "DCTestNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DCTestNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DCTestNode" +icon: "circle" +mode: wide +--- +DCTestNode는 사용자가 동적 콤보 상자에서 선택한 내용에 따라 서로 다른 유형의 데이터를 반환하는 논리 노드입니다. 이 노드는 조건부 라우터 역할을 하며, 선택된 옵션에 따라 활성화되는 입력 필드와 노드가 출력할 값의 유형이 결정됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `combo` | 어떤 입력 필드가 활성화되고 노드가 무엇을 출력할지 결정하는 주요 선택 항목입니다. | COMBO | 예 | `"option1"`
`"option2"`
`"option3"`
`"option4"` | +| `string` | 텍스트 입력 필드입니다. 이 필드는 `combo`가 `"option1"`으로 설정된 경우에만 활성화되며 필수 항목입니다. | STRING | 아니요 | - | +| `integer` | 정수 입력 필드입니다. 이 필드는 `combo`가 `"option2"`로 설정된 경우에만 활성화되며 필수 항목입니다. | INT | 아니요 | - | +| `image` | 이미지 입력 필드입니다. 이 필드는 `combo`가 `"option3"`으로 설정된 경우에만 활성화되며 필수 항목입니다. | IMAGE | 아니요 | - | +| `subcombo` | `combo`가 `"option4"`로 설정된 경우 나타나는 보조 선택 항목입니다. 중첩된 입력 필드 중 어떤 것이 활성화될지 결정합니다. | COMBO | 아니요 | `"opt1"`
`"opt2"` | +| `float_x` | 소수 입력 필드입니다. 이 필드는 `combo`가 `"option4"`로 설정되고 `subcombo`가 `"opt1"`로 설정된 경우에만 활성화되며 필수 항목입니다. | FLOAT | 아니요 | - | +| `float_y` | 소수 입력 필드입니다. 이 필드는 `combo`가 `"option4"`로 설정되고 `subcombo`가 `"opt1"`로 설정된 경우에만 활성화되며 필수 항목입니다. | FLOAT | 아니요 | - | +| `mask1` | 마스크 입력 필드입니다. 이 필드는 `combo`가 `"option4"`로 설정되고 `subcombo`가 `"opt2"`로 설정된 경우에만 활성화됩니다. 선택 사항입니다. | MASK | 아니요 | - | + +**매개변수 제약 조건:** + +* `combo` 매개변수는 다른 모든 입력 필드의 표시 여부와 필수 여부를 제어합니다. 선택된 `combo` 옵션과 연결된 입력만 표시되며 필수 항목이 됩니다(`mask1`은 선택 사항으로 예외). +* `combo`가 `"option4"`로 설정되면 `subcombo` 매개변수가 필수 항목이 되며, 두 번째 중첩 입력 세트(`float_x`/`float_y` 또는 `mask1`)를 제어합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `output` | 출력은 선택된 `combo` 옵션에 따라 달라집니다. STRING(`"option1"`), INT(`"option2"`), IMAGE(`"option3"`) 또는 `subcombo` 딕셔너리의 문자열 표현(`"option4"`)이 될 수 있습니다. | ANYTYPE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DCTestNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `98c4ca2100a27594df360935cc1507960480fe75a76ca0df2af75925d399be00` diff --git a/ko/built-in-nodes/DeprecatedCheckpointLoader.mdx b/ko/built-in-nodes/DeprecatedCheckpointLoader.mdx new file mode 100644 index 000000000..4111ce079 --- /dev/null +++ b/ko/built-in-nodes/DeprecatedCheckpointLoader.mdx @@ -0,0 +1,25 @@ +--- +title: "DeprecatedCheckpointLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DeprecatedCheckpointLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DeprecatedCheckpointLoader" +icon: "circle" +mode: wide +--- +CheckpointLoader 노드는 고급 로딩 작업을 위해 설계되었으며, 특히 모델 체크포인트와 해당 구성을 로드합니다. 이 노드는 생성 모델을 초기화하고 실행하는 데 필요한 모델 구성 요소(지정된 디렉터리의 구성 및 체크포인트 포함)를 검색하는 기능을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `config_name` | 사용할 구성 파일의 이름을 지정합니다. 이는 모델의 매개변수와 설정을 결정하는 데 중요하며, 모델의 동작과 성능에 영향을 미칩니다. | COMBO[STRING] | +| `ckpt_name` | 로드할 체크포인트 파일의 이름을 나타냅니다. 이는 초기화되는 모델의 상태에 직접적인 영향을 미치며, 초기 가중치와 편향에 영향을 줍니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 체크포인트에서 로드된 기본 모델을 나타내며, 추가 작업이나 추론을 위해 준비된 상태입니다. | MODEL | +| `clip` | 사용 가능하고 요청된 경우, 체크포인트에서 로드된 CLIP 모델 구성 요소를 제공합니다. | CLIP | +| `vae` | 사용 가능하고 요청된 경우, 체크포인트에서 로드된 VAE 모델 구성 요소를 제공합니다. | VAE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DeprecatedCheckpointLoader/ko.md) diff --git a/ko/built-in-nodes/DeprecatedDiffusersLoader.mdx b/ko/built-in-nodes/DeprecatedDiffusersLoader.mdx new file mode 100644 index 000000000..d09a6a456 --- /dev/null +++ b/ko/built-in-nodes/DeprecatedDiffusersLoader.mdx @@ -0,0 +1,24 @@ +--- +title: "DeprecatedDiffusersLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DeprecatedDiffusersLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DeprecatedDiffusersLoader" +icon: "circle" +mode: wide +--- +DiffusersLoader 노드는 diffusers 라이브러리에서 모델을 로드하기 위해 설계되었으며, 제공된 모델 경로를 기반으로 UNet, CLIP 및 VAE 모델을 로드하는 작업을 처리합니다. 이 노드는 이러한 모델을 ComfyUI 프레임워크에 통합하여 텍스트-이미지 생성, 이미지 조작 등과 같은 고급 기능을 가능하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `model_path` | 로드할 모델의 경로를 지정합니다. 이 경로는 후속 작업에 사용될 모델을 결정하므로 중요하며, 노드의 출력 및 기능에 영향을 미칩니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `model` | 로드된 UNet 모델로, 출력 튜플의 일부입니다. 이 모델은 ComfyUI 프레임워크 내에서 이미지 합성 및 조작 작업에 필수적입니다. | MODEL | +| `clip` | 요청 시 출력 튜플에 포함되는 로드된 CLIP 모델입니다. 이 모델은 고급 텍스트 및 이미지 이해와 조작 기능을 제공합니다. | CLIP | +| `vae` | 요청 시 출력 튜플에 포함되는 로드된 VAE 모델입니다. 이 모델은 잠재 공간 조작 및 이미지 생성 작업에 중요합니다. | VAE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DeprecatedDiffusersLoader/ko.md) diff --git a/ko/built-in-nodes/DiffControlNetLoader.mdx b/ko/built-in-nodes/DiffControlNetLoader.mdx new file mode 100644 index 000000000..5dced6d84 --- /dev/null +++ b/ko/built-in-nodes/DiffControlNetLoader.mdx @@ -0,0 +1,25 @@ +--- +title: "DiffControlNetLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DiffControlNetLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DiffControlNetLoader" +icon: "circle" +mode: wide +--- +이 노드는 `ComfyUI/models/controlnet` 폴더에 있는 모델을 감지하며, extra_model_paths.yaml 파일에 설정된 추가 경로의 모델도 읽어옵니다. 때로는 **ComfyUI 인터페이스를 새로고침**하여 해당 폴더에서 모델 파일을 읽도록 해야 할 수도 있습니다. + +DiffControlNetLoader 노드는 차등 제어 네트워크를 로드하기 위해 설계되었습니다. 차등 제어 네트워크는 제어 사양에 따라 다른 모델의 동작을 수정할 수 있는 특수 모델입니다. 이 노드는 차등 제어 네트워크를 적용하여 모델 동작을 동적으로 조정할 수 있게 하며, 맞춤형 모델 출력을 생성하는 데 도움을 줍니다. + +## 입력 + +| 필드 | 설명 | Comfy 자료형 | +| --- | --- | --- | +| `모델` | 차등 제어 네트워크가 적용될 기본 모델로, 모델의 동작을 사용자 지정할 수 있게 합니다. | `MODEL` | +| `컨트롤넷 파일명` | 로드하여 기본 모델에 적용할 특정 차등 제어 네트워크를 식별합니다. 이를 통해 모델의 동작을 수정할 수 있습니다. | `COMBO[STRING]` | + +## 출력 + +| 필드 | 설명 | Comfy 자료형 | +| --- | --- | --- | +| `control_net` | 로드되어 기본 모델에 동작 수정을 위해 적용할 준비가 된 차등 제어 네트워크입니다. | `CONTROL_NET` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffControlNetLoader/ko.md) diff --git a/ko/built-in-nodes/DifferentialDiffusion.mdx b/ko/built-in-nodes/DifferentialDiffusion.mdx new file mode 100644 index 000000000..fdd4cb865 --- /dev/null +++ b/ko/built-in-nodes/DifferentialDiffusion.mdx @@ -0,0 +1,28 @@ +--- +title: "DifferentialDiffusion - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DifferentialDiffusion node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DifferentialDiffusion" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DifferentialDiffusion/en.md) + +Differential Diffusion 노드는 시간 단계 임계값을 기반으로 이진 마스크를 적용하여 노이즈 제거 과정을 수정합니다. 이 노드는 원본 노이즈 제거 마스크와 임계값 기반 이진 마스크 사이를 혼합하는 마스크를 생성하여 확산 과정의 강도를 제어할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 수정할 확산 모델 | MODEL | 예 | - | +| `strength` | 원본 노이즈 제거 마스크와 이진 임계값 마스크 간의 혼합 강도를 제어합니다 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 업데이트된 노이즈 제거 마스크 함수가 적용된 수정된 확산 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DifferentialDiffusion/ko.md) + +--- +**Source fingerprint (SHA-256):** `3b1727baa6c546516f5dfb53e6e39f27fc7429cde2ac7fd7dfbab99eebb39816` diff --git a/ko/built-in-nodes/DiffusersLoader.mdx b/ko/built-in-nodes/DiffusersLoader.mdx new file mode 100644 index 000000000..0667f8e7f --- /dev/null +++ b/ko/built-in-nodes/DiffusersLoader.mdx @@ -0,0 +1,27 @@ +--- +title: "DiffusersLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DiffusersLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DiffusersLoader" +icon: "circle" +mode: wide +--- +DiffusersLoader 노드는 diffusers 형식의 사전 학습된 모델을 불러옵니다. `model_index.json` 파일이 포함된 유효한 diffusers 모델 디렉터리를 검색하여 파이프라인에서 사용할 MODEL, CLIP, VAE 구성 요소로 로드합니다. 이 노드는 더 이상 사용되지 않는 로더 범주에 속하며, Hugging Face diffusers 모델과의 호환성을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델 경로` | 로드할 diffusers 모델 디렉터리의 경로입니다. 노드는 구성된 diffusers 폴더에서 유효한 diffusers 모델을 자동으로 검색하여 사용 가능한 옵션을 나열합니다. | STRING | 예 | 여러 옵션 사용 가능
(diffusers 폴더에서 자동으로 채워짐) | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MODEL` | diffusers 형식에서 로드된 모델 구성 요소입니다 | MODEL | +| `CLIP` | diffusers 형식에서 로드된 CLIP 모델 구성 요소입니다 | CLIP | +| `VAE` | diffusers 형식에서 로드된 VAE(변분 오토인코더) 구성 요소입니다 | VAE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffusersLoader/ko.md) + +--- +**Source fingerprint (SHA-256):** `59be9923ed76d4859d5f7217a802c43297cb5af3d895eb6713edea97a32c3db2` diff --git a/ko/built-in-nodes/DisableNoise.mdx b/ko/built-in-nodes/DisableNoise.mdx new file mode 100644 index 000000000..cfe873fc3 --- /dev/null +++ b/ko/built-in-nodes/DisableNoise.mdx @@ -0,0 +1,25 @@ +--- +title: "DisableNoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DisableNoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DisableNoise" +icon: "circle" +mode: wide +--- +DisableNoise 노드는 샘플링 과정에서 노이즈 생성을 비활성화하는 데 사용할 수 있는 빈 노이즈 구성을 제공합니다. 이 노드는 노이즈 데이터가 포함되지 않은 특수 노이즈 객체를 반환하며, 이 출력에 연결된 다른 노드가 노이즈 관련 작업을 건너뛸 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| *입력 매개변수 없음* | 이 노드는 입력 매개변수가 필요하지 않습니다. | - | - | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `NOISE` | 샘플링 과정에서 노이즈 생성을 비활성화하는 데 사용할 수 있는 빈 노이즈 구성을 반환합니다. | NOISE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DisableNoise/ko.md) + +--- +**Source fingerprint (SHA-256):** `527152dff69bd5c55c622c634b87e625eb16708f8595fa02d69cf38f1125c5eb` diff --git a/ko/built-in-nodes/DrawBBoxes.mdx b/ko/built-in-nodes/DrawBBoxes.mdx new file mode 100644 index 000000000..c6c333381 --- /dev/null +++ b/ko/built-in-nodes/DrawBBoxes.mdx @@ -0,0 +1,33 @@ +--- +title: "DrawBBoxes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DrawBBoxes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DrawBBoxes" +icon: "circle" +mode: wide +--- +# DrawBBoxes 노드 + +DrawBBoxes 노드는 이미지에 경계 상자, 레이블 및 신뢰도 점수를 그려 객체 탐지 결과를 시각화합니다. 입력 이미지가 제공되지 않으면 모든 그려진 상자를 포함할 수 있을 만큼 충분히 큰 빈 캔버스를 생성합니다. 배치 처리를 지원하므로 여러 이미지에 대해 서로 다른 탐지 결과를 그리거나 동일한 탐지 결과를 배치 전체에 반복할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 경계 상자를 그릴 입력 이미지입니다. 제공되지 않으면 빈 캔버스가 생성됩니다. | IMAGE | 아니요 | - | +| `bboxes` | 경계 상자 사전의 목록입니다. 각 사전에는 `x`, `y`, `width`, `height` 키가 포함되어야 하며, 선택적으로 `label` 및 `score` 키도 포함될 수 있습니다. | BOUNDINGBOX | 예 | - | + +**입력 제약 조건:** +* `bboxes` 입력은 필수이며 반드시 제공되어야 합니다. +* 노드는 `bboxes`의 다양한 입력 형식을 자동으로 처리합니다. 단일 사전은 배치의 모든 이미지에 적용됩니다. 사전의 단순 목록은 모든 이미지에 대해 동일한 탐지 결과 집합으로 처리됩니다. 목록의 목록을 사용하면 배치의 각 이미지에 대해 서로 다른 탐지 결과를 지정할 수 있습니다. +* `image`가 제공되지 않으면 노드는 제공된 모든 경계 상자를 포함할 수 있을 만큼 충분히 큰 크기(기본 최소 크기 640x640)의 빈 이미지를 생성합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `out_image` | 그려진 경계 상자, 레이블 및 신뢰도 점수가 오버레이된 출력 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DrawBBoxes/ko.md) + +--- +**Source fingerprint (SHA-256):** `436fbd3de0d5e09ca07b099a32c9b9482a8006459dc8635e066ffa82f6c755df` diff --git a/ko/built-in-nodes/DualCFGGuider.mdx b/ko/built-in-nodes/DualCFGGuider.mdx new file mode 100644 index 000000000..62b886ae8 --- /dev/null +++ b/ko/built-in-nodes/DualCFGGuider.mdx @@ -0,0 +1,31 @@ +--- +title: "DualCFGGuider - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DualCFGGuider node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DualCFGGuider" +icon: "circle" +mode: wide +--- +DualCFGGuider 노드는 이중 분류기-프리 가이던스 샘플링을 위한 가이던스 시스템을 생성합니다. 두 개의 긍정 조건부 입력과 하나의 부정 조건부 입력을 결합하여, 각 조건부 쌍에 서로 다른 가이던스 스케일을 적용함으로써 생성된 출력물에 대한 각 프롬프트의 영향을 제어합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 가이던스에 사용할 모델 | MODEL | 예 | - | +| `조건1` | 첫 번째 긍정 조건부 입력 | CONDITIONING | 예 | - | +| `조건2` | 두 번째 긍정 조건부 입력 | CONDITIONING | 예 | - | +| `부정 조건` | 부정 조건부 입력 | CONDITIONING | 예 | - | +| `전체 조건 cfg` | 첫 번째 긍정 조건부에 대한 가이던스 스케일 (기본값: 8.0) | FLOAT | 예 | 0.0 - 100.0 | +| `(조건2 - 부정 조건) cfg` | 두 번째 긍정 조건부 및 부정 조건부에 대한 가이던스 스케일 (기본값: 8.0) | FLOAT | 예 | 0.0 - 100.0 | +| `style` | 적용할 가이던스 스타일 (기본값: "regular"). "nested"로 설정하면 가이던스가 중첩 방식으로 적용됩니다 | COMBO | 예 | "regular"
"nested" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `GUIDER` | 샘플링에 사용할 준비가 된 구성된 가이던스 시스템 | GUIDER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCFGGuider/ko.md) + +--- +**Source fingerprint (SHA-256):** `802e07f2e64dc2d55e86290db7e94dffd46079a9180480a560035d0bb6350325` diff --git a/ko/built-in-nodes/DualCLIPLoader.mdx b/ko/built-in-nodes/DualCLIPLoader.mdx new file mode 100644 index 000000000..a78e4b2ef --- /dev/null +++ b/ko/built-in-nodes/DualCLIPLoader.mdx @@ -0,0 +1,28 @@ +--- +title: "DualCLIPLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DualCLIPLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DualCLIPLoader" +icon: "circle" +mode: wide +--- +DualCLIPLoader 노드는 두 개의 CLIP 모델을 동시에 로드하여, 두 모델의 특징을 통합하거나 비교하는 작업을 용이하게 하도록 설계되었습니다. + +이 노드는 `ComfyUI/models/text_encoders` 폴더에 있는 모델을 감지합니다. + +## 입력 + +| 매개변수 | 설명 | Comfy 자료형 | +| --- | --- | --- | +| `CLIP 파일명1` | 로드할 첫 번째 CLIP 모델의 이름을 지정합니다. 이 매개변수는 사전 정의된 사용 가능한 CLIP 모델 목록에서 올바른 모델을 식별하고 검색하는 데 중요합니다. | COMBO[STRING] | +| `CLIP 파일명2` | 로드할 두 번째 CLIP 모델의 이름을 지정합니다. 이 매개변수를 통해 첫 번째 모델과 함께 비교 또는 통합 분석을 위해 두 번째 개별 CLIP 모델을 로드할 수 있습니다. | COMBO[STRING] | +| `유형` | "sdxl", "sd3", "flux" 중에서 선택하여 다양한 모델에 맞게 조정합니다. | `option` | + +* 로드 순서는 출력 결과에 영향을 미치지 않습니다. + +## 출력 + +| 매개변수 | 설명 | 자료형 | +| --- | --- | --- | +| `clip` | 출력은 지정된 두 CLIP 모델의 특징이나 기능을 통합한 결합된 CLIP 모델입니다. | CLIP | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCLIPLoader/ko.md) diff --git a/ko/built-in-nodes/DualModelGuider.mdx b/ko/built-in-nodes/DualModelGuider.mdx new file mode 100644 index 000000000..fceeb1803 --- /dev/null +++ b/ko/built-in-nodes/DualModelGuider.mdx @@ -0,0 +1,31 @@ +--- +title: "DualModelGuider - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DualModelGuider node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DualModelGuider" +icon: "circle" +mode: wide +--- +# 이중 모델 CFG 가이더 + +이 노드는 안내된 CFG 샘플링 과정에서 두 개의 서로 다른 모델을 사용할 수 있게 해줍니다. 하나의 모델은 양(조건부) 패스에 사용되고, 다른 별도의 모델은 음(무조건부) 패스에 사용됩니다. 음 모델이 제공되지 않으면 단일 모델을 사용하는 표준 CFG 가이더처럼 작동합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `model` | 양(조건부) 패스에 사용되는 모델입니다. | MODEL | 예 | | +| `model_negative` | 음(무조건부) 패스에 사용되는 모델입니다. 일반 CFG를 사용하려면 동일한 모델을 사용하십시오. | MODEL | 아니요 | | +| `positive` | 양 조건 입력입니다. | CONDITIONING | 예 | | +| `cfg` | CFG 스케일 값입니다(기본값: 4.0). | FLOAT | 예 | 0.0 ~ 100.0 (단계: 0.1) | +| `negative` | 음 모델에서 실행되는 음 조건입니다. 텍스트가 없는(이미지만) 무조건부 패스를 위해 연결을 해제하십시오. | CONDITIONING | 아니요 | | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `GUIDER` | 샘플링에 사용하기 위해 지정된 모델과 조건으로 구성된 가이더 객체입니다. | GUIDER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualModelGuider/ko.md) + +--- +**Source fingerprint (SHA-256):** `a60803156e98d2ffe975d39922dfbeacafd1a2155d88dd2e285ac1426a1e7a33` diff --git a/ko/built-in-nodes/EasyCache.mdx b/ko/built-in-nodes/EasyCache.mdx new file mode 100644 index 000000000..34310596c --- /dev/null +++ b/ko/built-in-nodes/EasyCache.mdx @@ -0,0 +1,29 @@ +--- +title: "EasyCache - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EasyCache node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EasyCache" +icon: "circle" +mode: wide +--- +EasyCache 노드는 모델을 위한 네이티브 캐싱 시스템을 구현하여 샘플링 과정에서 이전에 계산된 단계를 재사용함으로써 성능을 향상시킵니다. 샘플링 타임라인에서 캐시 사용을 시작하고 중지할 시점에 대한 구성 가능한 임계값을 사용하여 모델에 EasyCache 기능을 추가합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | EasyCache를 추가할 모델입니다. | MODEL | 예 | - | +| `reuse_threshold` | 캐시된 단계를 재사용하기 위한 임계값입니다(기본값: 0.2). | FLOAT | 아니요 | 0.0 - 3.0 | +| `start_percent` | EasyCache 사용을 시작할 상대적 샘플링 단계입니다(기본값: 0.15). | FLOAT | 아니요 | 0.0 - 1.0 | +| `end_percent` | EasyCache 사용을 종료할 상대적 샘플링 단계입니다(기본값: 0.95). | FLOAT | 아니요 | 0.0 - 1.0 | +| `verbose` | 상세 정보를 로그로 출력할지 여부입니다(기본값: False). | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | EasyCache 기능이 추가된 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EasyCache/ko.md) + +--- +**Source fingerprint (SHA-256):** `e9d9bf5ecae8034b562f1a27acf528d1f3241d7d28621beba149d3e9bd66a247` diff --git a/ko/built-in-nodes/ElevenLabsAudioIsolation.mdx b/ko/built-in-nodes/ElevenLabsAudioIsolation.mdx new file mode 100644 index 000000000..9a92cdcf2 --- /dev/null +++ b/ko/built-in-nodes/ElevenLabsAudioIsolation.mdx @@ -0,0 +1,25 @@ +--- +title: "ElevenLabsAudioIsolation - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsAudioIsolation node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ElevenLabsAudioIsolation" +icon: "circle" +mode: wide +--- +ElevenLabs 음성 분리 노드는 오디오 파일에서 배경 소음을 제거하여 보컬 또는 음성을 분리합니다. 오디오를 ElevenLabs API로 전송하여 처리한 후, 정리된 오디오를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `audio` | 배경 소음 제거를 위해 처리할 오디오입니다. | AUDIO | 예 | | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `audio` | 배경 소음이 제거된 처리된 오디오입니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/ko.md) + +--- +**Source fingerprint (SHA-256):** `eca7919ff853fe48f8419a4135a99589e350d3d113631e27f6e7cb3cbb3faa3b` diff --git a/ko/built-in-nodes/ElevenLabsInstantVoiceClone.mdx b/ko/built-in-nodes/ElevenLabsInstantVoiceClone.mdx new file mode 100644 index 000000000..8c8244d65 --- /dev/null +++ b/ko/built-in-nodes/ElevenLabsInstantVoiceClone.mdx @@ -0,0 +1,30 @@ +--- +title: "ElevenLabsInstantVoiceClone - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsInstantVoiceClone node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ElevenLabsInstantVoiceClone" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md) + +ElevenLabs Instant Voice Clone 노드는 사람 목소리의 오디오 녹음 1~8개를 분석하여 새롭고 고유한 음성 모델을 생성합니다. 이 샘플들을 ElevenLabs API로 전송하면, API가 이를 처리하여 텍스트 음성 변환에 사용할 수 있는 음성 복제본을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `audio_*` | 음성 복제를 위한 오디오 녹음입니다. 1~8개의 오디오 파일을 제공해야 합니다. | AUDIO | 예 | 1~8개 파일 | +| `remove_background_noise` | 오디오 분리를 사용하여 음성 샘플에서 배경 소음을 제거합니다. (기본값: False) | BOOLEAN | 아니요 | True / False | + +**참고:** 최소 1개의 오디오 파일을 제공해야 하며, 최대 8개까지 제공할 수 있습니다. 노드는 추가한 오디오 파일에 대한 입력 슬롯을 자동으로 생성합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `voice` | 새로 생성된 복제 음성 모델의 고유 식별자입니다. 이 출력은 다른 ElevenLabs 텍스트 음성 변환 노드에 연결할 수 있습니다. | ELEVENLABS_VOICE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/ko.md) + +--- +**Source fingerprint (SHA-256):** `297598e183df3ccddabc75d6903c5c69f10648adeea430e546f9c5f6df49bdb2` diff --git a/ko/built-in-nodes/ElevenLabsSpeechToSpeech.mdx b/ko/built-in-nodes/ElevenLabsSpeechToSpeech.mdx new file mode 100644 index 000000000..42e0aa96b --- /dev/null +++ b/ko/built-in-nodes/ElevenLabsSpeechToSpeech.mdx @@ -0,0 +1,33 @@ +--- +title: "ElevenLabsSpeechToSpeech - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsSpeechToSpeech node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ElevenLabsSpeechToSpeech" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md) + +ElevenLabs Speech to Speech 노드는 입력 오디오 파일의 음성을 다른 음성으로 변환합니다. ElevenLabs API를 사용하여 음성을 변환하며, 원본 오디오의 내용과 감정적 톤을 보존합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `voice` | 변환 대상 음성입니다. 음성 선택기 또는 즉시 음성 복제에서 연결하십시오. | CUSTOM | 예 | - | +| `audio` | 변환할 원본 오디오입니다. | AUDIO | 예 | - | +| `stability` | 음성 안정성입니다. 값이 낮을수록 더 넓은 감정 범위를 제공하고, 값이 높을수록 더 일관되지만 단조로운 음성을 생성합니다(기본값: 0.5). | FLOAT | 아니요 | 0.0 - 1.0 | +| `model` | 음성 간 변환에 사용할 모델입니다. 각 옵션은 특정 음성 설정 세트(similarity_boost, style, use_speaker_boost, speed)를 제공합니다. | DYNAMICCOMBO | 아니요 | `eleven_multilingual_sts_v2`
`eleven_english_sts_v2` | +| `output_format` | 오디오 출력 형식입니다(기본값: "mp3_44100_192"). | COMBO | 아니요 | `"mp3_44100_192"`
`"opus_48000_192"` | +| `seed` | 재현성을 위한 시드 값입니다(기본값: 0). | INT | 아니요 | 0 - 4294967295 | +| `remove_background_noise` | 오디오 분리를 사용하여 입력 오디오에서 배경 소음을 제거합니다(기본값: False). | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `audio` | 지정된 출력 형식으로 변환된 오디오 파일입니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/ko.md) + +--- +**Source fingerprint (SHA-256):** `118fe6e85b146d0649b104d814abb518d37f69ade2e53becac365a0ec90146fd` diff --git a/ko/built-in-nodes/ElevenLabsSpeechToText.mdx b/ko/built-in-nodes/ElevenLabsSpeechToText.mdx new file mode 100644 index 000000000..370905bb3 --- /dev/null +++ b/ko/built-in-nodes/ElevenLabsSpeechToText.mdx @@ -0,0 +1,40 @@ +--- +title: "ElevenLabsSpeechToText - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsSpeechToText node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ElevenLabsSpeechToText" +icon: "circle" +mode: wide +--- +# ElevenLabs 음성-텍스트 노드 + +ElevenLabs 음성-텍스트 노드는 오디오 파일을 텍스트로 변환합니다. ElevenLabs의 API를 사용하여 음성 단어를 문자 기록으로 변환하며, 자동 언어 감지, 화자 식별, 음악이나 웃음과 같은 비음성 사운드 태깅 기능을 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `audio` | 변환할 오디오입니다. | AUDIO | 예 | - | +| `model` | 변환에 사용할 모델입니다. 이 모델을 선택하면 추가 매개변수가 표시됩니다. | COMBO | 예 | `"scribe_v2"` | +| `tag_audio_events` | 기록에 (웃음), (음악) 등의 사운드에 주석을 추가합니다. 이 매개변수는 `"scribe_v2"` 모델을 선택하면 표시됩니다. (기본값: False) | BOOLEAN | 아니요 | - | +| `diarize` | 말하는 화자에 주석을 추가합니다. 이 매개변수는 `"scribe_v2"` 모델을 선택하면 표시됩니다. (기본값: False) | BOOLEAN | 아니요 | - | +| `diarization_threshold` | 화자 분리 민감도입니다. 값이 낮을수록 화자 변경에 더 민감하게 반응합니다. 이 매개변수는 `"scribe_v2"` 모델을 선택하고 `diarize`가 활성화된 경우 표시됩니다. (기본값: 0.22) | FLOAT | 아니요 | 0.1 - 0.4 | +| `temperature` | 무작위성 제어입니다. 0.0은 모델 기본값을 사용합니다. 값이 높을수록 무작위성이 증가합니다. 이 매개변수는 `"scribe_v2"` 모델을 선택하면 표시됩니다. (기본값: 0.0) | FLOAT | 아니요 | 0.0 - 2.0 | +| `timestamps_granularity` | 기록 단어의 시간 정밀도입니다. 이 매개변수는 `"scribe_v2"` 모델을 선택하면 표시됩니다. (기본값: "word") | COMBO | 아니요 | `"word"`
`"character"`
`"none"` | +| `language_code` | ISO-639-1 또는 ISO-639-3 언어 코드입니다(예: 'en', 'es', 'fra'). 자동 감지를 위해 비워 둡니다. (기본값: "") | STRING | 아니요 | - | +| `num_speakers` | 예측할 최대 화자 수입니다. 자동 감지를 위해 0으로 설정합니다. (기본값: 0) | INT | 아니요 | 0 - 32 | +| `seed` | 재현성을 위한 시드입니다(결정론은 보장되지 않습니다). (기본값: 1) | INT | 아니요 | 0 - 2147483647 | + +**참고:** `diarize` 옵션이 활성화된 경우 `num_speakers` 매개변수를 0보다 큰 값으로 설정할 수 없습니다. `diarize`를 비활성화하거나 `num_speakers`를 0으로 설정해야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `language_code` | 오디오에서 변환된 텍스트입니다. | STRING | +| `words_json` | 감지된 오디오의 언어 코드입니다. | STRING | +| `words_json` | 타임스탬프와 활성화된 경우 화자 레이블을 포함한 상세한 단어 수준 정보가 포함된 JSON 형식 문자열입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/ko.md) + +--- +**Source fingerprint (SHA-256):** `aca2ac04d7280ef2b604f7c8d29ad7fea1e7abcfc38beabb64ba6b268a8cade1` diff --git a/ko/built-in-nodes/ElevenLabsTextToDialogue.mdx b/ko/built-in-nodes/ElevenLabsTextToDialogue.mdx new file mode 100644 index 000000000..64308cb7c --- /dev/null +++ b/ko/built-in-nodes/ElevenLabsTextToDialogue.mdx @@ -0,0 +1,35 @@ +--- +title: "ElevenLabsTextToDialogue - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsTextToDialogue node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ElevenLabsTextToDialogue" +icon: "circle" +mode: wide +--- +# ElevenLabs 텍스트-대화 노드 + +ElevenLabs 텍스트-대화 노드는 텍스트로부터 여러 화자가 참여하는 오디오 대화를 생성합니다. 각 참여자에 대해 서로 다른 텍스트 줄과 개별 음성을 지정하여 대화를 만들 수 있습니다. 이 노드는 ElevenLabs API로 대화 요청을 전송하고 생성된 오디오를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `stability` | 음성 안정성. 값이 낮을수록 더 넓은 감정 표현 범위를 제공하고, 값이 높을수록 더 일관되지만 단조로운 발화를 생성합니다. (기본값: 0.5) | FLOAT | 아니요 | 0.0 - 1.0 | +| `apply_text_normalization` | 텍스트 정규화 모드. 'auto'는 시스템이 결정하도록 하며, 'on'은 항상 정규화를 적용하고, 'off'는 정규화를 건너뜁니다. | COMBO | 아니요 | `"auto"`
`"on"`
`"off"` | +| `model` | 대화 생성에 사용할 모델입니다. | COMBO | 아니요 | `"eleven_v3"` | +| `inputs` | 대화 항목 수입니다. 숫자를 선택하면 해당 개수만큼 텍스트 및 음성 입력 필드가 생성됩니다. | DYNAMICCOMBO | 예 | `"1"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"`
`"10"` | +| `language_code` | ISO-639-1 또는 ISO-639-3 언어 코드입니다(예: 'en', 'es', 'fra'). 자동 감지를 위해 비워 둡니다. (기본값: 비어 있음) | STRING | 아니요 | - | +| `seed` | 재현성을 위한 시드 값입니다. (기본값: 1) | INT | 아니요 | 0 - 4294967295 | +| `output_format` | 오디오 출력 형식입니다. | COMBO | 아니요 | `"mp3_44100_192"`
`"opus_48000_192"` | + +**참고:** `inputs` 매개변수는 동적입니다. 숫자(예: "3")를 선택하면 노드에 세 개의 해당 `text` 및 `voice` 입력 필드(예: `text1`, `voice1`, `text2`, `voice2`, `text3`, `voice3`)가 표시됩니다. 각 `text` 필드에는 최소 한 글자 이상이 포함되어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `audio` | 선택한 출력 형식으로 생성된 여러 화자 대화 오디오입니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/ko.md) + +--- +**Source fingerprint (SHA-256):** `2e1634e90314167320d715346f8d0c691dfabe82b090391afa2b0b18a8a126d8` diff --git a/ko/built-in-nodes/ElevenLabsTextToSoundEffects.mdx b/ko/built-in-nodes/ElevenLabsTextToSoundEffects.mdx new file mode 100644 index 000000000..497a5a4c5 --- /dev/null +++ b/ko/built-in-nodes/ElevenLabsTextToSoundEffects.mdx @@ -0,0 +1,35 @@ +--- +title: "ElevenLabsTextToSoundEffects - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsTextToSoundEffects node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ElevenLabsTextToSoundEffects" +icon: "circle" +mode: wide +--- +# ElevenLabs 텍스트-음향 효과 노드 + +ElevenLabs 텍스트-음향 효과 노드는 텍스트 설명으로부터 오디오 음향 효과를 생성합니다. ElevenLabs API를 사용하여 프롬프트를 기반으로 음향 효과를 만들며, 지속 시간, 반복 동작, 텍스트와 소리의 일치 정도를 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `text` | 생성할 음향 효과의 텍스트 설명입니다. 필수 입력 항목입니다. | STRING | 예 | 해당 없음 | +| `model` | 음향 효과 생성에 사용할 모델입니다. 이 모델을 선택하면 추가 매개변수가 표시됩니다: `duration`(기본값: 5.0, 범위: 0.5~30.0초), `loop`(기본값: False), `prompt_influence`(기본값: 0.3, 범위: 0.0~1.0). | COMBO | 예 | `"eleven_sfx_v2"` | +| `output_format` | 오디오 출력 형식입니다. | COMBO | 예 | `"mp3_44100_192"`
`"opus_48000_192"` | + +**매개변수 세부 설명:** + +* **`model["duration"]`**: 생성된 사운드의 지속 시간(초)입니다. 기본값은 5.0이며, 최소 0.5초, 최대 30.0초입니다. +* **`model["loop"]`**: 활성화하면 부드럽게 반복되는 음향 효과를 생성합니다. 기본값은 False입니다. +* **`model["prompt_influence"]`**: 생성 결과가 텍스트 프롬프트를 얼마나 밀접하게 따를지 제어합니다. 값이 높을수록 텍스트를 더 정확하게 따르는 소리가 생성됩니다. 기본값은 0.3이며, 범위는 0.0에서 1.0까지입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `audio` | 생성된 음향 효과 오디오 파일입니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/ko.md) + +--- +**Source fingerprint (SHA-256):** `c23c4dd3c9c12f0e891d40683265c5b74b5c6320601aaadb686489510db9f107` diff --git a/ko/built-in-nodes/ElevenLabsTextToSpeech.mdx b/ko/built-in-nodes/ElevenLabsTextToSpeech.mdx new file mode 100644 index 000000000..12e38edec --- /dev/null +++ b/ko/built-in-nodes/ElevenLabsTextToSpeech.mdx @@ -0,0 +1,47 @@ +--- +title: "ElevenLabsTextToSpeech - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsTextToSpeech node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ElevenLabsTextToSpeech" +icon: "circle" +mode: wide +--- +# ElevenLabs 텍스트 음성 변환 노드 + +ElevenLabs 텍스트 음성 변환 노드는 ElevenLabs API를 사용하여 작성된 텍스트를 음성 오디오로 변환합니다. 특정 음성을 선택하고 안정성, 속도, 스타일과 같은 다양한 음성 특성을 미세 조정하여 맞춤형 오디오 출력을 생성할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `voice` | 음성 합성에 사용할 음성입니다. 음성 선택기 또는 즉시 음성 복제에서 연결하세요. | CUSTOM | 예 | 해당 없음 | +| `text` | 음성으로 변환할 텍스트입니다. | STRING | 예 | 해당 없음 | +| `stability` | 음성 안정성입니다. 값이 낮을수록 더 넓은 감정 표현 범위를 제공하고, 값이 높을수록 더 일관되지만 단조로운 음성을 생성합니다(기본값: 0.5). | FLOAT | 아니요 | 0.0 - 1.0 | +| `apply_text_normalization` | 텍스트 정규화 모드입니다. 'auto'는 시스템이 결정하도록 하고, 'on'은 항상 정규화를 적용하며, 'off'는 정규화를 건너뜁니다. | COMBO | 아니요 | `"auto"`
`"on"`
`"off"` | +| `model` | 텍스트 음성 변환에 사용할 모델입니다. 모델을 선택하면 해당 모델의 특정 매개변수가 표시됩니다. | DYNAMICCOMBO | 아니요 | `"eleven_multilingual_v2"`
`"eleven_v3"` | +| `language_code` | ISO-639-1 또는 ISO-639-3 언어 코드입니다(예: 'en', 'es', 'fra'). 자동 감지를 위해 비워 두세요(기본값: ""). | STRING | 아니요 | 해당 없음 | +| `seed` | 재현성을 위한 시드입니다(결정론적 결과는 보장되지 않음)(기본값: 1). | INT | 아니요 | 0 - 2147483647 | +| `output_format` | 오디오 출력 형식입니다. | COMBO | 아니요 | `"mp3_44100_192"`
`"opus_48000_192"` | + +**모델별 매개변수:** +`model` 매개변수가 `"eleven_multilingual_v2"`로 설정된 경우 다음 추가 매개변수를 사용할 수 있습니다: + +* `speed`: 음성 속도입니다. 1.0은 보통, <1.0은 느리게, >1.0은 빠르게 설정합니다(기본값: 1.0, 범위: 0.7 - 1.3). +* `similarity_boost`: 유사도 향상입니다. 값이 높을수록 음성이 원본과 더 유사해집니다(기본값: 0.75, 범위: 0.0 - 1.0). +* `use_speaker_boost`: 원본 화자 음성과의 유사도를 향상시킵니다(기본값: False). +* `style`: 스타일 강조입니다. 값이 높을수록 스타일 표현이 증가하지만 안정성이 감소할 수 있습니다(기본값: 0.0, 범위: 0.0 - 0.2). + +`model` 매개변수가 `"eleven_v3"`로 설정된 경우 다음 추가 매개변수를 사용할 수 있습니다: + +* `speed`: 음성 속도입니다. 1.0은 보통, <1.0은 느리게, >1.0은 빠르게 설정합니다(기본값: 1.0, 범위: 0.7 - 1.3). +* `similarity_boost`: 유사도 향상입니다. 값이 높을수록 음성이 원본과 더 유사해집니다(기본값: 0.75, 범위: 0.0 - 1.0). + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `audio` | 텍스트 음성 변환으로 생성된 오디오입니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/ko.md) + +--- +**Source fingerprint (SHA-256):** `d11d4ffa2d1f11dfd5ce378d9496cd9788d2197bf7f4135092ecefb287f3c2f7` diff --git a/ko/built-in-nodes/ElevenLabsVoiceSelector.mdx b/ko/built-in-nodes/ElevenLabsVoiceSelector.mdx new file mode 100644 index 000000000..ad8dd3225 --- /dev/null +++ b/ko/built-in-nodes/ElevenLabsVoiceSelector.mdx @@ -0,0 +1,25 @@ +--- +title: "ElevenLabsVoiceSelector - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsVoiceSelector node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ElevenLabsVoiceSelector" +icon: "circle" +mode: wide +--- +ElevenLabs 음성 선택 노드는 미리 정의된 ElevenLabs 텍스트 음성 변환 음성 목록에서 특정 음성을 선택할 수 있도록 합니다. 음성 이름을 입력으로 받아들이고, 오디오 생성에 필요한 해당 음성 식별자를 출력합니다. 이 노드는 다른 ElevenLabs 오디오 노드와 함께 사용할 호환 가능한 음성을 선택하는 과정을 간소화합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `voice` | 미리 정의된 ElevenLabs 음성 중에서 음성을 선택합니다. | STRING | 예 | `"Adam"`
`"Antoni"`
`"Arnold"`
`"Bella"`
`"Domi"`
`"Elli"`
`"Josh"`
`"Rachel"`
`"Sam"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `voice` | 선택한 ElevenLabs 음성의 고유 식별자로, 텍스트 음성 변환 생성을 위해 다른 노드에 전달할 수 있습니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/ko.md) + +--- +**Source fingerprint (SHA-256):** `b87f5b2b8accca87d0593ab1f4bcfccaa84b393ddb3fd9121758a87871592cee` diff --git a/ko/built-in-nodes/EmptyARVideoLatent.mdx b/ko/built-in-nodes/EmptyARVideoLatent.mdx new file mode 100644 index 000000000..73a5af93a --- /dev/null +++ b/ko/built-in-nodes/EmptyARVideoLatent.mdx @@ -0,0 +1,30 @@ +--- +title: "EmptyARVideoLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyARVideoLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyARVideoLatent" +icon: "circle" +mode: wide +--- +# 개요 + +EmptyARVideoLatent 노드는 비디오 생성을 위한 빈 잠재 표현(Latent Representation)을 생성합니다. 지정된 크기, 화면 비율 및 길이를 가진 0으로 채워진 텐서를 제공하여 비디오 생성 프로세스를 초기화하는 데 사용됩니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `width` | 비디오 프레임의 너비(픽셀 단위, 기본값: 832) | INT | 예 | 16 ~ 8192 (단위: 16) | +| `height` | 비디오 프레임의 높이(픽셀 단위, 기본값: 480) | INT | 예 | 16 ~ 8192 (단위: 16) | +| `length` | 비디오의 프레임 수(기본값: 81) | INT | 예 | 1 ~ 1024 (단위: 4) | +| `batch_size` | 단일 배치에서 생성할 비디오 수(기본값: 1) | INT | 예 | 1 ~ 64 | + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `LATENT` | 0으로 채워진 잠재 텐서로, 지정된 크기, 길이 및 배치 크기를 가진 빈 비디오 잠재 공간을 나타냅니다. 텐서 형태는 [batch_size, 16, lat_t, height/8, width/8]이며, 여기서 lat_t는 length 값에서 계산됩니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyARVideoLatent/ko.md) + +--- +**Source fingerprint (SHA-256):** `5ae25e2ccb24e627eae583d14c5bcba8b576a227b7a489f3cd4bc56738928513` diff --git a/ko/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx b/ko/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx new file mode 100644 index 000000000..2e25a5c4f --- /dev/null +++ b/ko/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx @@ -0,0 +1,28 @@ +--- +title: "EmptyAceStep1.5LatentAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyAceStep1.5LatentAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyAceStep1.5LatentAudio" +icon: "circle" +mode: wide +--- +# Empty Ace Step 1.5 Latent Audio 노드 + +Empty Ace Step 1.5 Latent Audio 노드는 오디오 처리를 위해 설계된 빈 잠재 텐서를 생성합니다. 지정된 길이와 배치 크기의 무음 오디오 잠재를 생성하며, ComfyUI에서 오디오 생성 워크플로우의 시작점으로 사용할 수 있습니다. 이 노드는 입력된 초(seconds)와 고정 샘플 레이트를 기반으로 잠재 길이를 계산합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `seconds` | 생성할 오디오의 길이(초)입니다 (기본값: 120.0). | FLOAT | 예 | 1.0 - 1000.0 | +| `batch_size` | 배치 내 잠재 이미지의 개수입니다 (기본값: 1). | INT | 예 | 1 - 4096 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `LATENT` | "audio" 유형 식별자를 가진, 무음 오디오를 나타내는 빈 잠재 텐서입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStep1.5LatentAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `8d2b0b8ea110362d5e43a72a27df0ff2012a8577fbaa4fef2bd7905c9c64bd6a` diff --git a/ko/built-in-nodes/EmptyAceStepLatentAudio.mdx b/ko/built-in-nodes/EmptyAceStepLatentAudio.mdx new file mode 100644 index 000000000..e5da645f3 --- /dev/null +++ b/ko/built-in-nodes/EmptyAceStepLatentAudio.mdx @@ -0,0 +1,28 @@ +--- +title: "EmptyAceStepLatentAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyAceStepLatentAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyAceStepLatentAudio" +icon: "circle" +mode: wide +--- +# EmptyAceStepLatentAudio 노드 + +EmptyAceStepLatentAudio 노드는 지정된 길이의 빈 잠재 오디오 샘플을 생성합니다. 0으로 채워진 무음 오디오 잠재 텐서 배치를 생성하며, 길이는 입력된 초(seconds)와 오디오 처리 매개변수를 기반으로 계산됩니다. 이 노드는 잠재 표현이 필요한 오디오 처리 워크플로우를 초기화할 때 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `초` | 오디오 길이(초) (기본값: 120.0) | FLOAT | 예 | 1.0 - 1000.0 | +| `배치 크기` | 배치 내 잠재 이미지 수 (기본값: 1) | INT | 예 | 1 - 4096 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 0으로 채워진 빈 잠재 오디오 샘플을 반환합니다. 출력에는 `samples` 텐서와 "audio"로 설정된 `type` 필드가 포함됩니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `79fcfb3cb26db8a2ef4480455a44255e0d1a16f122a762d7608a78b2330cc637` diff --git a/ko/built-in-nodes/EmptyAudio.mdx b/ko/built-in-nodes/EmptyAudio.mdx new file mode 100644 index 000000000..5bcd74fc3 --- /dev/null +++ b/ko/built-in-nodes/EmptyAudio.mdx @@ -0,0 +1,27 @@ +--- +title: "EmptyAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyAudio" +icon: "circle" +mode: wide +--- +빈 오디오(EmptyAudio) 노드는 지정된 길이, 샘플 레이트 및 채널 구성으로 무음 오디오 클립을 생성합니다. 모든 값이 0인 파형을 만들어 지정된 시간 동안 완전한 무음을 생성합니다. 이 노드는 오디오 워크플로우에서 자리 표시자 오디오를 만들거나 무음 구간을 생성하는 데 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `지속 시간` | 빈 오디오 클립의 길이(초 단위, 기본값: 60.0) | FLOAT | 예 | 0.0 ~ 1.8446744073709552e+19 | +| `샘플링 레이트` | 빈 오디오 클립의 샘플 레이트(기본값: 44100) | INT | 예 | 1 ~ 192000 | +| `채널` | 오디오 채널 수(1은 모노, 2는 스테레오, 기본값: 2) | INT | 예 | 1 ~ 2 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `AUDIO` | 파형 데이터와 샘플 레이트 정보를 포함하여 생성된 무음 오디오 클립 | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `61b9cd6c8e518f28533b7586fdd1f909e5c356c7f2f7690da4e1ec7965d53c5d` diff --git a/ko/built-in-nodes/EmptyChromaRadianceLatentImage.mdx b/ko/built-in-nodes/EmptyChromaRadianceLatentImage.mdx new file mode 100644 index 000000000..502162d67 --- /dev/null +++ b/ko/built-in-nodes/EmptyChromaRadianceLatentImage.mdx @@ -0,0 +1,29 @@ +--- +title: "EmptyChromaRadianceLatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyChromaRadianceLatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyChromaRadianceLatentImage" +icon: "circle" +mode: wide +--- +# EmptyChromaRadianceLatentImage 노드 + +EmptyChromaRadianceLatentImage 노드는 크로마 래디언스 워크플로우에서 사용하기 위해 지정된 크기의 빈 잠재 이미지를 생성합니다. 이 노드는 잠재 공간 연산의 시작점으로 사용되는 0으로 채워진 텐서를 생성합니다. 빈 잠재 이미지의 너비, 높이 및 배치 크기를 정의할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `너비` | 잠재 이미지의 픽셀 단위 너비 (기본값: 1024, 16으로 나누어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 잠재 이미지의 픽셀 단위 높이 (기본값: 1024, 16으로 나누어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `배치 크기` | 배치로 생성할 잠재 이미지의 수 (기본값: 1) | INT | 아니요 | 1 ~ 4096 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `samples` | 지정된 크기로 생성된 빈 잠재 이미지 텐서 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyChromaRadianceLatentImage/ko.md) + +--- +**Source fingerprint (SHA-256):** `f2bc90a236f91e0161142f5242647d15adc8a10c57c920d2eb97e87040ac99d4` diff --git a/ko/built-in-nodes/EmptyCosmosLatentVideo.mdx b/ko/built-in-nodes/EmptyCosmosLatentVideo.mdx new file mode 100644 index 000000000..f3f9740af --- /dev/null +++ b/ko/built-in-nodes/EmptyCosmosLatentVideo.mdx @@ -0,0 +1,28 @@ +--- +title: "EmptyCosmosLatentVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyCosmosLatentVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyCosmosLatentVideo" +icon: "circle" +mode: wide +--- +EmptyCosmosLatentVideo 노드는 지정된 크기의 빈 잠재 비디오 텐서를 생성합니다. 이 노드는 너비, 높이, 길이 및 배치 크기 매개변수를 구성할 수 있으며, 비디오 생성 워크플로우의 시작점으로 사용할 수 있는 0으로 채워진 잠재 표현을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `너비` | 잠재 비디오의 픽셀 단위 너비 (기본값: 1280, 16으로 나누어 떨어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 잠재 비디오의 픽셀 단위 높이 (기본값: 704, 16으로 나누어 떨어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 잠재 비디오의 프레임 수 (기본값: 121, 8로 나누어 떨어져야 함) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 한 배치에서 생성할 잠재 비디오의 수 (기본값: 1) | INT | 아니요 | 1 ~ 4096 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `samples` | 0 값으로 채워진 생성된 빈 잠재 비디오 텐서 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyCosmosLatentVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `f473820af3faf7cb6992ff1959089801e333df395b4007abeb9b504962bfc73b` diff --git a/ko/built-in-nodes/EmptyFlux2LatentImage.mdx b/ko/built-in-nodes/EmptyFlux2LatentImage.mdx new file mode 100644 index 000000000..4ab4c5b2b --- /dev/null +++ b/ko/built-in-nodes/EmptyFlux2LatentImage.mdx @@ -0,0 +1,31 @@ +--- +title: "EmptyFlux2LatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyFlux2LatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyFlux2LatentImage" +icon: "circle" +mode: wide +--- +# EmptyFlux2LatentImage 노드 + +EmptyFlux2LatentImage 노드는 비어 있는 빈 잠재 표현을 생성합니다. 0으로 채워진 텐서를 생성하며, 이는 Flux 모델의 노이즈 제거 과정을 위한 시작점 역할을 합니다. 잠재 표현의 차원은 입력 너비와 높이에 의해 결정되며, 16배로 축소됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `너비` | 생성할 최종 이미지의 너비입니다. 잠재 표현의 너비는 이 값을 16으로 나눈 값이 됩니다. 기본값은 1024입니다. | INT | 예 | 16 ~ 8192 | +| `높이` | 생성할 최종 이미지의 높이입니다. 잠재 표현의 높이는 이 값을 16으로 나눈 값이 됩니다. 기본값은 1024입니다. | INT | 예 | 16 ~ 8192 | +| `배치 크기` | 단일 배치에서 생성할 잠재 샘플의 개수입니다. 기본값은 1입니다. | INT | 아니요 | 1 ~ 4096 | + +**참고:** `width`와 `height` 입력값은 반드시 16으로 나누어 떨어져야 합니다. 노드 내부적으로 이 값을 16으로 나누어 잠재 표현의 차원을 생성하기 때문입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `samples` | 0으로 채워진 잠재 텐서입니다. 형태는 `[batch_size, 128, height // 16, width // 16]`입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyFlux2LatentImage/ko.md) + +--- +**Source fingerprint (SHA-256):** `e3616ad0e283a318bbe441d84f687883e59ab311e72c5e5edd16ddabde10988e` diff --git a/ko/built-in-nodes/EmptyHiDreamO1LatentImage.mdx b/ko/built-in-nodes/EmptyHiDreamO1LatentImage.mdx new file mode 100644 index 000000000..1b94f72ef --- /dev/null +++ b/ko/built-in-nodes/EmptyHiDreamO1LatentImage.mdx @@ -0,0 +1,34 @@ +--- +title: "EmptyHiDreamO1LatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyHiDreamO1LatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyHiDreamO1LatentImage" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 HiDream-O1-Image 모델을 위해 특별히 설계된 픽셀 공간의 빈 잠재 이미지를 생성합니다. 너비, 높이 및 배치 크기 입력으로 정의된 차원을 가진 0으로 채워진 빈 텐서를 생성하며, 이는 이미지 생성을 위한 시작점 역할을 합니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `width` | 잠재 이미지의 픽셀 단위 너비입니다(기본값: 2048). 모델은 약 4메가픽셀로 학습되었으며, 더 낮은 해상도에서는 분포를 벗어나 품질이 현저히 저하됩니다. | INT | 예 | 64 ~ 4096 (단위: 32) | +| `height` | 잠재 이미지의 픽셀 단위 높이입니다(기본값: 2048). 모델은 약 4메가픽셀로 학습되었으며, 더 낮은 해상도에서는 분포를 벗어나 품질이 현저히 저하됩니다. | INT | 예 | 64 ~ 4096 (단위: 32) | +| `batch_size` | 단일 배치에서 생성할 잠재 이미지의 개수입니다(기본값: 1). | INT | 아니요 | 1 ~ 64 | + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `samples` | 빈 잠재 이미지를 나타내는 0으로 채워진 텐서이며, 형태는 (batch_size, 3, height, width)입니다. | LATENT | + +# 참고 사항 + +- HiDream-O1-Image 모델은 약 4메가픽셀로 학습되었습니다. 현저히 낮은 해상도를 사용하면 이미지 품질이 저하될 수 있습니다. +- 학습된 해상도는 다음과 같습니다: 2048x2048, 2304x1728, 1728x2304, 2560x1440, 1440x2560, 2496x1664, 1664x2496, 3104x1312, 1312x3104, 2304x1792, 1792x2304. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ko.md) + +--- +**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e` diff --git a/ko/built-in-nodes/EmptyHunyuanImageLatent.mdx b/ko/built-in-nodes/EmptyHunyuanImageLatent.mdx new file mode 100644 index 000000000..7de68526d --- /dev/null +++ b/ko/built-in-nodes/EmptyHunyuanImageLatent.mdx @@ -0,0 +1,29 @@ +--- +title: "EmptyHunyuanImageLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyHunyuanImageLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyHunyuanImageLatent" +icon: "circle" +mode: wide +--- +# EmptyHunyuanImageLatent 노드 + +EmptyHunyuanImageLatent 노드는 Hunyuan 이미지 생성 모델과 함께 사용하기 위해 특정 차원의 빈 잠재 텐서를 생성합니다. 워크플로우의 후속 노드에서 처리할 수 있는 빈 시작점을 생성합니다. 이 노드를 사용하면 잠재 공간의 너비, 높이 및 배치 크기를 지정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `너비` | 생성된 잠재 이미지의 픽셀 단위 너비 (기본값: 2048, 단계: 32) | INT | 예 | 64 ~ MAX_RESOLUTION | +| `높이` | 생성된 잠재 이미지의 픽셀 단위 높이 (기본값: 2048, 단계: 32) | INT | 예 | 64 ~ MAX_RESOLUTION | +| `배치 크기` | 배치로 생성할 잠재 샘플의 수 (기본값: 1) | INT | 예 | 1 ~ 4096 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `LATENT` | Hunyuan 이미지 처리를 위해 지정된 차원의 빈 잠재 텐서 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanImageLatent/ko.md) + +--- +**Source fingerprint (SHA-256):** `18e920527c88be2648d8cbe4255f693123be4e70a9e21dd379310088a1470834` diff --git a/ko/built-in-nodes/EmptyHunyuanLatentVideo.mdx b/ko/built-in-nodes/EmptyHunyuanLatentVideo.mdx new file mode 100644 index 000000000..a248fa9b7 --- /dev/null +++ b/ko/built-in-nodes/EmptyHunyuanLatentVideo.mdx @@ -0,0 +1,25 @@ +--- +title: "EmptyHunyuanLatentVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyHunyuanLatentVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyHunyuanLatentVideo" +icon: "circle" +mode: wide +--- +`EmptyHunyuanLatentVideo` 노드는 `EmptyLatentImage` 노드와 유사합니다. 이를 비디오 생성을 위한 빈 캔버스로 간주할 수 있으며, 너비, 높이 및 길이가 캔버스의 속성을 정의하고 배치 크기는 생성할 캔버스의 수를 결정합니다. 이 노드는 후속 비디오 생성 작업을 위해 준비된 빈 캔버스를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | Comfy 유형 | +| --- | --- | --- | +| `너비` | 비디오 너비, 기본값 848, 최소 16, 최대 `nodes.MAX_RESOLUTION`, 단계 크기 16. | `INT` | +| `높이` | 비디오 높이, 기본값 480, 최소 16, 최대 `nodes.MAX_RESOLUTION`, 단계 크기 16. | `INT` | +| `길이` | 비디오 길이, 기본값 25, 최소 1, 최대 `nodes.MAX_RESOLUTION`, 단계 크기 4. | `INT` | +| `배치 크기` | 배치 크기, 기본값 1, 최소 1, 최대 4096. | `INT` | + +## 출력 + +| 매개변수 | 설명 | Comfy 유형 | +| --- | --- | --- | +| `samples` | 생성된 잠재 비디오 샘플로, 0 텐서를 포함하며 처리 및 생성 작업을 위해 준비되었습니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanLatentVideo/ko.md) diff --git a/ko/built-in-nodes/EmptyHunyuanVideo15Latent.mdx b/ko/built-in-nodes/EmptyHunyuanVideo15Latent.mdx new file mode 100644 index 000000000..972e24b8d --- /dev/null +++ b/ko/built-in-nodes/EmptyHunyuanVideo15Latent.mdx @@ -0,0 +1,32 @@ +--- +title: "EmptyHunyuanVideo15Latent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyHunyuanVideo15Latent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyHunyuanVideo15Latent" +icon: "circle" +mode: wide +--- +이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/en.md) + +이 노드는 HunyuanVideo 1.5 모델에 특화된 형식의 빈 잠재 텐서를 생성합니다. 모델의 잠재 공간에 적합한 채널 수와 공간 차원을 가진 0으로 채워진 텐서를 할당하여 비디오 생성을 위한 빈 시작점을 만듭니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `너비` | 비디오 프레임의 가로 너비(픽셀 단위)입니다. | INT | 예 | - | +| `높이` | 비디오 프레임의 세로 높이(픽셀 단위)입니다. | INT | 예 | - | +| `길이` | 비디오 시퀀스의 프레임 수입니다. | INT | 예 | - | +| `배치 크기` | 한 번에 생성할 비디오 샘플 수입니다(기본값: 1). | INT | 아니요 | - | + +**참고:** 생성된 잠재 텐서의 공간 차원은 입력된 `width`와 `height`를 16으로 나누어 계산됩니다. 시간 차원(프레임)은 `((length - 1) // 4) + 1`로 계산됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `samples` | HunyuanVideo 1.5 모델에 적합한 차원을 가진 빈 잠재 텐서입니다. 텐서의 형태는 `[batch_size, 32, frames, height//16, width//16]`입니다. 출력에는 16의 `downscale_ratio_spacial` 값도 포함됩니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/ko.md) + +--- +**Source fingerprint (SHA-256):** `eebc131adfe63f6bc8367f2a96b3ac7f3f3223c5b1fb308eda3ec09c94fff2ee` diff --git a/ko/built-in-nodes/EmptyImage.mdx b/ko/built-in-nodes/EmptyImage.mdx new file mode 100644 index 000000000..eaaec4323 --- /dev/null +++ b/ko/built-in-nodes/EmptyImage.mdx @@ -0,0 +1,58 @@ +--- +title: "EmptyImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyImage" +icon: "circle" +mode: wide +--- +## 기능 설명 + +EmptyImage 노드는 지정된 크기와 색상의 빈 이미지를 생성하는 데 사용됩니다. 단색 배경 이미지를 생성할 수 있으며, 주로 이미지 처리 워크플로우의 시작점이나 배경 이미지로 활용됩니다. + +## 작동 원리 + +화가가 창작을 시작하기 전에 빈 캔버스를 준비하는 것처럼, EmptyImage 노드는 여러분께 "디지털 캔버스"를 제공합니다. 캔버스의 크기(너비와 높이)를 지정하고, 캔버스의 기본 색상을 선택할 수 있으며, 동일한 사양의 캔버스 여러 개를 한 번에 준비할 수도 있습니다. 이 노드는 마치 지능형 미술 용품점과 같아서, 크기와 색상 요구사항에 완벽하게 맞는 표준화된 캔버스를 생성해 줍니다. + +## 입력 + +| 매개변수 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `너비` | 생성할 이미지의 너비(픽셀 단위)를 설정하며, 캔버스의 가로 크기를 결정합니다 | INT | +| `높이` | 생성할 이미지의 높이(픽셀 단위)를 설정하며, 캔버스의 세로 크기를 결정합니다 | INT | +| `배치 크기` | 한 번에 생성할 이미지 개수로, 동일한 사양의 이미지를 일괄 생성하는 데 사용됩니다 | INT | +| `색` | 이미지의 배경색입니다. 16진수 색상 설정을 입력할 수 있으며, 자동으로 10진수로 변환됩니다 | INT | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 생성된 빈 이미지 텐서로, 형식은 [batch_size, height, width, 3]이며 RGB 세 가지 색상 채널을 포함합니다 | IMAGE | + +## 일반 색상 참조값 + +현재 이 노드의 색상 입력은 모든 색상값이 10진수로 변환되어 사용자 친화적이지 않으므로, 빠르게 적용할 수 있도록 일반적인 색상값을 제공합니다. + +| 색상 이름 | 16진수 값 | +|------------|-------------------| +| 검정색 | 0x000000 | +| 흰색 | 0xFFFFFF | +| 빨간색 | 0xFF0000 | +| 초록색 | 0x00FF00 | +| 파란색 | 0x0000FF | +| 노란색 | 0xFFFF00 | +| 청록색 | 0x00FFFF | +| 자홍색 | 0xFF00FF | +| 주황색 | 0xFF8000 | +| 보라색 | 0x8000FF | +| 분홍색 | 0xFF80C0 | +| 갈색 | 0x8B4513 | +| 진회색 | 0x404040 | +| 연회색 | 0xC0C0C0 | +| 남색 | 0x000080 | +| 진한 녹색 | 0x008000 | +| 진한 빨간색 | 0x800000 | +| 금색 | 0xFFD700 | +| 은색 | 0xC0C0C0 | +| 베이지색 | 0xF5F5DC | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyImage/ko.md) diff --git a/ko/built-in-nodes/EmptyLTXVLatentVideo.mdx b/ko/built-in-nodes/EmptyLTXVLatentVideo.mdx new file mode 100644 index 000000000..ddaa56eae --- /dev/null +++ b/ko/built-in-nodes/EmptyLTXVLatentVideo.mdx @@ -0,0 +1,28 @@ +--- +title: "EmptyLTXVLatentVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyLTXVLatentVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyLTXVLatentVideo" +icon: "circle" +mode: wide +--- +EmptyLTXVLatentVideo 노드는 비디오 처리를 위한 빈 잠재 텐서를 생성합니다. 지정된 차원으로 빈 시작점을 만들어 비디오 생성 워크플로우의 입력으로 사용할 수 있습니다. 이 노드는 설정된 너비, 높이, 길이 및 배치 크기로 0으로 채워진 잠재 표현을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `너비` | 잠재 비디오 텐서의 너비 (기본값: 768, 단계: 32) | INT | 예 | 64 ~ MAX_RESOLUTION | +| `높이` | 잠재 비디오 텐서의 높이 (기본값: 512, 단계: 32) | INT | 예 | 64 ~ MAX_RESOLUTION | +| `길이` | 잠재 비디오의 프레임 수 (기본값: 97, 단계: 8) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 한 배치에서 생성할 잠재 비디오의 개수 (기본값: 1) | INT | 아니요 | 1 ~ 4096 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `samples` | 지정된 차원으로 0 값이 채워진 생성된 빈 잠재 텐서 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLTXVLatentVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `c3ee9374210e100a074b238ce7ac8b5d2d2d415efd3318c9a6a7c8f7e20bda84` diff --git a/ko/built-in-nodes/EmptyLatentAudio.mdx b/ko/built-in-nodes/EmptyLatentAudio.mdx new file mode 100644 index 000000000..d30d8a5c3 --- /dev/null +++ b/ko/built-in-nodes/EmptyLatentAudio.mdx @@ -0,0 +1,28 @@ +--- +title: "EmptyLatentAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyLatentAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyLatentAudio" +icon: "circle" +mode: wide +--- +# EmptyLatentAudio 노드 + +EmptyLatentAudio 노드는 오디오 처리를 위한 빈 잠재 텐서를 생성합니다. 지정된 지속 시간과 배치 크기를 가진 빈 오디오 잠재 표현을 생성하며, 이는 오디오 생성 또는 처리 워크플로우의 시작점으로 사용할 수 있습니다. 이 노드는 오디오 지속 시간과 샘플 속도를 기반으로 적절한 잠재 차원을 자동으로 계산합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `초` | 오디오 지속 시간(초) (기본값: 47.6) | FLOAT | 예 | 1.0 - 1000.0 | +| `배치 크기` | 배치 내 잠재 이미지 수 (기본값: 1) | INT | 예 | 1 - 4096 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `LATENT` | 지정된 지속 시간과 배치 크기를 가진 오디오 처리를 위한 빈 잠재 텐서를 반환합니다. 텐서의 형태는 [batch_size, 64, length]이며, 여기서 length는 오디오 지속 시간과 샘플 속도로부터 계산됩니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `004f730131b179fe5ac072afe81b2e01a3937fceca5a260b4ae66f92774e96d9` diff --git a/ko/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx b/ko/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx new file mode 100644 index 000000000..8e0bb8a20 --- /dev/null +++ b/ko/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx @@ -0,0 +1,28 @@ +--- +title: "EmptyLatentHunyuan3Dv2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyLatentHunyuan3Dv2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyLatentHunyuan3Dv2" +icon: "circle" +mode: wide +--- +# EmptyLatentHunyuan3Dv2 노드 + +EmptyLatentHunyuan3Dv2 노드는 Hunyuan3Dv2 3D 생성 모델에 특화된 빈 잠재 텐서를 생성합니다. Hunyuan3Dv2 아키텍처에 필요한 올바른 차원과 구조를 가진 빈 잠재 공간을 생성하여, 처음부터 3D 생성 워크플로우를 시작할 수 있도록 합니다. 이 노드는 후속 3D 생성 프로세스의 기반이 되는 0으로 채워진 잠재 텐서를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `해상도` | 잠재 공간의 해상도 차원입니다 (기본값: 3072) | INT | 예 | 1 - 8192 | +| `배치 크기` | 배치 내 잠재 이미지의 개수입니다 (기본값: 1) | INT | 예 | 1 - 4096 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `LATENT` | Hunyuan3Dv2 3D 생성을 위해 형식화된 빈 샘플이 포함된 잠재 텐서를 반환합니다 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/ko.md) + +--- +**Source fingerprint (SHA-256):** `f912b226bcec4e2edd52250682d0583ab378b5502173f8e027e0e8fbff1db08f` diff --git a/ko/built-in-nodes/EmptyLatentImage.mdx b/ko/built-in-nodes/EmptyLatentImage.mdx new file mode 100644 index 000000000..e20a70079 --- /dev/null +++ b/ko/built-in-nodes/EmptyLatentImage.mdx @@ -0,0 +1,24 @@ +--- +title: "EmptyLatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyLatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyLatentImage" +icon: "circle" +mode: wide +--- +`EmptyLatentImage` 노드는 지정된 크기와 배치 크기로 빈 잠재 공간 표현을 생성하도록 설계되었습니다. 이 노드는 잠재 공간에서 이미지를 생성하거나 조작하는 기본 단계 역할을 하며, 추가 이미지 합성 또는 수정 프로세스를 위한 시작점을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `너비` | 생성할 잠재 이미지의 너비를 지정합니다. 이 매개변수는 결과 잠재 표현의 공간적 크기에 직접적인 영향을 미칩니다. | `INT` | +| `높이` | 생성할 잠재 이미지의 높이를 결정합니다. 이 매개변수는 잠재 공간 표현의 공간적 크기를 정의하는 데 중요합니다. | `INT` | +| `배치 크기` | 단일 배치에서 생성할 잠재 이미지의 수를 제어합니다. 이를 통해 여러 잠재 표현을 동시에 생성할 수 있어 배치 처리가 용이합니다. | `INT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 출력은 빈 잠재 이미지 배치를 나타내는 텐서로, 잠재 공간에서 추가 이미지 생성 또는 조작을 위한 기반 역할을 합니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentImage/ko.md) diff --git a/ko/built-in-nodes/EmptyMochiLatentVideo.mdx b/ko/built-in-nodes/EmptyMochiLatentVideo.mdx new file mode 100644 index 000000000..5f72b8978 --- /dev/null +++ b/ko/built-in-nodes/EmptyMochiLatentVideo.mdx @@ -0,0 +1,32 @@ +--- +title: "EmptyMochiLatentVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyMochiLatentVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyMochiLatentVideo" +icon: "circle" +mode: wide +--- +# EmptyMochiLatentVideo 노드 + +EmptyMochiLatentVideo 노드는 지정된 차원의 빈 잠재 비디오 텐서를 생성합니다. 이 노드는 0으로 채워진 잠재 표현을 생성하며, 비디오 생성 워크플로우의 시작점으로 사용할 수 있습니다. 노드에서는 잠재 비디오 텐서의 너비, 높이, 길이 및 배치 크기를 정의할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `너비` | 잠재 비디오의 픽셀 단위 너비 (기본값: 848, 16으로 나누어 떨어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 잠재 비디오의 픽셀 단위 높이 (기본값: 480, 16으로 나누어 떨어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 잠재 비디오의 프레임 수 (기본값: 25, 1을 뺀 값이 6으로 나누어 떨어져야 함) | INT | 예 | 7 ~ MAX_RESOLUTION | +| `배치 크기` | 배치로 생성할 잠재 비디오의 개수 (기본값: 1) | INT | 아니요 | 1 ~ 4096 | + +**참고:** 실제 잠재 차원은 너비/8 및 높이/8로 계산되며, 시간 차원은 ((길이 - 1) // 6) + 1로 계산됩니다. `length` 매개변수는 `(length - 1)`이 6으로 나누어 떨어져야 하므로, 유효한 값은 7, 13, 19, 25 등입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `samples` | 지정된 차원의 모든 값이 0으로 채워진 빈 잠재 비디오 텐서 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyMochiLatentVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `6876a739355b2dcde42f8c02eb67405678798b818865ec1a73e19076b738554b` diff --git a/ko/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx b/ko/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx new file mode 100644 index 000000000..5cf021ec5 --- /dev/null +++ b/ko/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx @@ -0,0 +1,30 @@ +--- +title: "EmptyQwenImageLayeredLatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyQwenImageLayeredLatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyQwenImageLayeredLatentImage" +icon: "circle" +mode: wide +--- +빈 Qwen 이미지 계층형 잠재 노드는 Qwen 이미지 모델과 함께 사용할 빈 다중 계층 잠재 표현을 생성합니다. 지정된 계층 수, 배치 크기 및 공간 차원으로 구성된 0으로 채워진 텐서를 생성합니다. 이 빈 잠재 표현은 이후 이미지 생성 또는 조작 워크플로의 시작점 역할을 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `너비` | 생성할 잠재 이미지의 너비입니다. 값은 16으로 나누어 떨어져야 합니다. (기본값: 640) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 생성할 잠재 이미지의 높이입니다. 값은 16으로 나누어 떨어져야 합니다. (기본값: 640) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `레이어` | 잠재 구조에 추가할 추가 계층 수입니다. 이는 잠재 표현의 깊이를 정의합니다. (기본값: 3) | INT | 예 | 0 ~ MAX_RESOLUTION | +| `배치 크기` | 한 배치에서 생성할 잠재 샘플 수입니다. (기본값: 1) | INT | 아니요 | 1 ~ 4096 | + +**참고:** `width` 및 `height` 매개변수는 내부적으로 8로 나누어 출력 잠재 텐서의 공간 차원을 결정합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `samples` | 0으로 채워진 잠재 텐서입니다. 형태는 `[batch_size, 16, layers + 1, height // 8, width // 8]`입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyQwenImageLayeredLatentImage/ko.md) + +--- +**Source fingerprint (SHA-256):** `99497e3e4a67bf7b3f650573e7b8eb2d7fad6be5819b7ebbbb8736291dc44e0c` diff --git a/ko/built-in-nodes/EmptySD3LatentImage.mdx b/ko/built-in-nodes/EmptySD3LatentImage.mdx new file mode 100644 index 000000000..7cc3bfd99 --- /dev/null +++ b/ko/built-in-nodes/EmptySD3LatentImage.mdx @@ -0,0 +1,29 @@ +--- +title: "EmptySD3LatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptySD3LatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptySD3LatentImage" +icon: "circle" +mode: wide +--- +# EmptySD3LatentImage 노드 + +EmptySD3LatentImage 노드는 Stable Diffusion 3 모델용으로 특별히 형식화된 빈 잠재 이미지 텐서를 생성합니다. SD3 파이프라인에서 요구하는 올바른 차원과 구조를 가진 0으로 채워진 텐서를 생성합니다. 이는 일반적으로 이미지 생성 워크플로우의 시작점으로 사용됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `너비` | 출력 잠재 이미지의 픽셀 단위 너비 (기본값: 1024) | INT | 예 | 16 ~ MAX_RESOLUTION (단위: 16) | +| `높이` | 출력 잠재 이미지의 픽셀 단위 높이 (기본값: 1024) | INT | 예 | 16 ~ MAX_RESOLUTION (단위: 16) | +| `배치 크기` | 배치로 생성할 잠재 이미지의 개수 (기본값: 1) | INT | 예 | 1 ~ 4096 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `LATENT` | SD3 호환 차원을 가진 빈 샘플이 포함된 잠재 텐서입니다. 이 텐서는 16개 채널을 가지며, 입력 너비와 높이에 비해 8배 공간적으로 다운스케일링됩니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptySD3LatentImage/ko.md) + +--- +**Source fingerprint (SHA-256):** `21eb5b6385b9b0db95d48fa2f4b85eafe44f865af11ee194945ab7ffe54b6acc` diff --git a/ko/built-in-nodes/Epsilon Scaling.mdx b/ko/built-in-nodes/Epsilon Scaling.mdx new file mode 100644 index 000000000..f1bb114ce --- /dev/null +++ b/ko/built-in-nodes/Epsilon Scaling.mdx @@ -0,0 +1,28 @@ +--- +title: "Epsilon Scaling - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Epsilon Scaling node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Epsilon Scaling" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Epsilon%20Scaling/en.md) + +이 노드는 연구 논문 "Elucidating the Exposure Bias in Diffusion Models"(arxiv.org/abs/2308.15321v6)의 Epsilon Scaling 방법을 구현합니다. 샘플링 과정에서 예측된 노이즈를 스케일링하여 노출 편향을 줄이는 방식으로 작동하며, 이를 통해 생성된 이미지의 품질을 향상시킬 수 있습니다. 이 구현은 실용성과 효율성을 위해 논문에서 권장하는 "균일 스케줄(uniform schedule)"을 사용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 엡실론 스케일링 패치가 적용될 모델입니다. | MODEL | 예 | - | +| `스케일링 계수` | 예측된 노이즈가 스케일링되는 비율입니다. 1.0보다 큰 값은 노이즈를 줄이고, 1.0보다 작은 값은 노이즈를 증가시킵니다(기본값: 1.005). | FLOAT | 아니요 | 0.5 - 1.5 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 샘플링 과정에 엡실론 스케일링 함수가 적용된 입력 모델의 패치 버전입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Epsilon Scaling/ko.md) + +--- +**Source fingerprint (SHA-256):** `85c464ce0b2ec2a031a01d9eef5d50fd300be3012499cc061705fb7964110882` diff --git a/ko/built-in-nodes/ExponentialScheduler.mdx b/ko/built-in-nodes/ExponentialScheduler.mdx new file mode 100644 index 000000000..231592059 --- /dev/null +++ b/ko/built-in-nodes/ExponentialScheduler.mdx @@ -0,0 +1,24 @@ +--- +title: "ExponentialScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ExponentialScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ExponentialScheduler" +icon: "circle" +mode: wide +--- +`ExponentialScheduler` 노드는 확산 샘플링 과정에서 지수 스케줄을 따라 시그마 값 시퀀스를 생성하도록 설계되었습니다. 이 노드는 확산 과정의 각 단계에 적용되는 노이즈 수준을 제어하는 사용자 정의 방식을 제공하여 샘플링 동작을 세밀하게 조정할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `스텝 수` | 확산 과정의 단계 수를 지정합니다. 생성되는 시그마 시퀀스의 길이, 즉 노이즈 적용의 세분성에 영향을 줍니다. | INT | +| `sigma_max` | 최대 시그마 값을 정의하여 확산 과정에서 노이즈 강도의 상한을 설정합니다. 적용되는 노이즈 수준의 범위를 결정하는 데 중요한 역할을 합니다. | FLOAT | +| `sigma_min` | 최소 시그마 값을 설정하여 노이즈 강도의 하한을 지정합니다. 이 매개변수는 노이즈 적용 시작점을 미세 조정하는 데 도움이 됩니다. | FLOAT | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sigmas` | 지수 스케줄에 따라 생성된 시그마 값 시퀀스입니다. 이 값들은 확산 과정의 각 단계에서 노이즈 수준을 제어하는 데 사용됩니다. | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExponentialScheduler/ko.md) diff --git a/ko/built-in-nodes/ExtendIntermediateSigmas.mdx b/ko/built-in-nodes/ExtendIntermediateSigmas.mdx new file mode 100644 index 000000000..4b9480a77 --- /dev/null +++ b/ko/built-in-nodes/ExtendIntermediateSigmas.mdx @@ -0,0 +1,31 @@ +--- +title: "ExtendIntermediateSigmas - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ExtendIntermediateSigmas node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ExtendIntermediateSigmas" +icon: "circle" +mode: wide +--- +ExtendIntermediateSigmas 노드는 기존 시그마 값 시퀀스를 가져와 그 사이에 추가적인 중간 시그마 값을 삽입합니다. 추가할 단계 수, 보간을 위한 간격 설정 방법, 그리고 시그마 시퀀스 내에서 확장이 발생할 위치를 제어하는 선택적 시작 및 종료 시그마 경계를 지정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `시그마 배열` | 중간 값으로 확장할 입력 시그마 시퀀스 | SIGMAS | 예 | - | +| `스텝 수` | 기존 시그마 사이에 삽입할 중간 단계 수 (기본값: 2) | INT | 예 | 1 ~ 100 | +| `시그마 시작점` | 확장을 위한 상위 시그마 경계 - 이 값보다 낮은 시그마만 확장합니다 (기본값: -1.0, 이는 무한대를 의미) | FLOAT | 예 | -1.0 ~ 20000.0 | +| `시그마 종료점` | 확장을 위한 하위 시그마 경계 - 이 값보다 높은 시그마만 확장합니다 (기본값: 12.0) | FLOAT | 예 | 0.0 ~ 20000.0 | +| `간격 분포 방식` | 중간 시그마 값의 간격을 위한 보간 방법 (기본값: "linear") | COMBO | 예 | `"linear"`
`"cosine"`
`"sine"` | + +**참고:** 이 노드는 현재 시그마가 `start_at_sigma` 이하이고 `end_at_sigma` 이상인 기존 시그마 쌍 사이에만 중간 시그마를 삽입합니다. `start_at_sigma`가 -1.0으로 설정되면 무한대로 처리되어 `end_at_sigma` 하위 경계만 적용됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `시그마 배열` | 추가 중간 값이 삽입된 확장된 시그마 시퀀스 | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExtendIntermediateSigmas/ko.md) + +--- +**Source fingerprint (SHA-256):** `f51ed433fc38365334ff8e4072174dc04982a8a00770d07f544320a6863577c4` diff --git a/ko/built-in-nodes/FeatherMask.mdx b/ko/built-in-nodes/FeatherMask.mdx new file mode 100644 index 000000000..abf003109 --- /dev/null +++ b/ko/built-in-nodes/FeatherMask.mdx @@ -0,0 +1,26 @@ +--- +title: "FeatherMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FeatherMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FeatherMask" +icon: "circle" +mode: wide +--- +`FeatherMask` 노드는 지정된 마스크의 가장자리에 페더링 효과를 적용하여, 각 가장자리로부터 지정된 거리에 따라 마스크 가장자리의 불투명도를 부드럽게 전환합니다. 이를 통해 더 부드럽고 자연스럽게 혼합된 가장자리 효과를 만들어냅니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `마스크` | 페더링 효과가 적용될 마스크입니다. 페더링의 영향을 받을 이미지 영역을 결정합니다. | MASK | +| `왼쪽` | 왼쪽 가장자리로부터 페더링 효과가 적용될 거리를 지정합니다. | INT | +| `위쪽` | 위쪽 가장자리로부터 페더링 효과가 적용될 거리를 지정합니다. | INT | +| `오른쪽` | 오른쪽 가장자리로부터 페더링 효과가 적용될 거리를 지정합니다. | INT | +| `아래쪽` | 아래쪽 가장자리로부터 페더링 효과가 적용될 거리를 지정합니다. | INT | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `마스크` | 입력 마스크의 가장자리에 페더링 효과가 적용된 수정된 버전을 출력합니다. | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FeatherMask/ko.md) diff --git a/ko/built-in-nodes/File3DToSplat.mdx b/ko/built-in-nodes/File3DToSplat.mdx new file mode 100644 index 000000000..b6bb6c150 --- /dev/null +++ b/ko/built-in-nodes/File3DToSplat.mdx @@ -0,0 +1,29 @@ +--- +title: "File3DToSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the File3DToSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "File3DToSplat" +icon: "circle" +mode: wide +--- +# File3DToSplat + +이 노드는 가우시안 스플랫 데이터가 포함된 3D 파일을 노드 그래프에서 사용할 수 있는 가우시안 스플랫 형식으로 변환합니다. PLY, SPLAT, KSPLAT 및 SPZ 파일 형식을 지원하며, 파일 형식은 파일 내용에서 자동으로 감지됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `model_3d` | 가우시안 스플랫 3D 파일 | FILE3D | 예 | - | + +입력 파일은 PLY, SPLAT, KSPLAT 또는 SPZ 중 하나의 지원되는 형식이어야 합니다. PLY 파일은 완전한 구면 조화 데이터를 포함하는 반면, 다른 형식은 기본 색상 정보만 포함합니다. 형식은 파일 내용에서 자동으로 감지됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `splat` | 위치, 크기, 회전, 불투명도 및 구면 조화 데이터를 포함하는 가우시안 스플랫 | SPLAT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/File3DToSplat/ko.md) + +--- +**Source fingerprint (SHA-256):** `9f45210a1366e57a91de6e1251f0e2e09f39e6498dbec1db7bf9826ebedd167b` diff --git a/ko/built-in-nodes/FlipSigmas.mdx b/ko/built-in-nodes/FlipSigmas.mdx new file mode 100644 index 000000000..2ca3152da --- /dev/null +++ b/ko/built-in-nodes/FlipSigmas.mdx @@ -0,0 +1,22 @@ +--- +title: "FlipSigmas - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FlipSigmas node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FlipSigmas" +icon: "circle" +mode: wide +--- +`FlipSigmas` 노드는 확산 모델에 사용되는 시그마 값 시퀀스의 순서를 반전시키고, 첫 번째 값이 원래 0이었다면 0이 아닌 값으로 보장하여 조작하도록 설계되었습니다. 이 작업은 노이즈 수준을 역순으로 적용하여 데이터에서 점진적으로 노이즈를 줄이는 방식으로 작동하는 모델의 생성 과정을 용이하게 하는 데 중요합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `시그마 배열` | 'sigmas' 매개변수는 반전시킬 시그마 값 시퀀스를 나타냅니다. 이 시퀀스는 확산 과정에서 적용되는 노이즈 수준을 제어하는 데 중요하며, 이를 반전시키는 것은 역방향 생성 과정에 필수적입니다. | `SIGMAS` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `시그마 배열` | 출력은 수정된 시그마 값 시퀀스로, 반전 및 조정되어 첫 번째 값이 원래 0이었다면 0이 아닌 값으로 보장되며, 후속 확산 모델 작업에 사용할 준비가 됩니다. | `SIGMAS` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FlipSigmas/ko.md) diff --git a/ko/built-in-nodes/Flux2ImageNode.mdx b/ko/built-in-nodes/Flux2ImageNode.mdx new file mode 100644 index 000000000..4472f4c0b --- /dev/null +++ b/ko/built-in-nodes/Flux2ImageNode.mdx @@ -0,0 +1,43 @@ +--- +title: "Flux2ImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Flux2ImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Flux2ImageNode" +icon: "circle" +mode: wide +--- +# 개요 + +텍스트 프롬프트와 선택적 참조 이미지를 사용하여 Flux.2 [pro] 또는 Flux.2 [max] 모델로 이미지를 생성합니다. 이 노드는 요청을 BFL API로 전송하고, 결과를 폴링한 후 생성된 이미지를 텐서로 반환합니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 이미지 생성 또는 편집을 위한 프롬프트입니다(기본값: 빈 문자열). | STRING | 예 | 해당 없음 | +| `모델` | 사용할 Flux.2 모델 버전입니다. 모델을 선택하면 너비, 높이 및 선택적 참조 이미지에 대한 추가 매개변수가 활성화됩니다. | COMBO | 예 | `"Flux.2 [pro]"`
`"Flux.2 [max]"` | +| `시드` | 노이즈 생성에 사용되는 난수 시드입니다. 각 생성 후 무작위화하도록 설정할 수 있습니다(기본값: 0). | INT | 예 | 0 ~ 18446744073709551615 | + +**추가 매개변수 (`model` 선택 시 활성화):** + +모델을 선택하면 다음 매개변수를 사용할 수 있습니다: + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model.width` | 생성된 이미지의 가로 픽셀 크기입니다. | INT | 예 | 256 ~ 1440 | +| `model.height` | 생성된 이미지의 세로 픽셀 크기입니다. | INT | 예 | 256 ~ 1440 | +| `model.images` | 생성을 안내하는 선택적 참조 이미지입니다. 최대 8개의 이미지를 지원합니다. | IMAGE | 아니요 | 0 ~ 8개 이미지 | + +**제약 사항:** +- 참조 이미지의 최대 개수는 8개입니다. 8개를 초과하는 이미지가 제공되면 오류가 발생합니다. +- `model.width` 및 `model.height` 값은 생성 비용에 영향을 미칩니다(소스 코드의 가격 배지 로직 참조). + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | BFL API 결과에서 다운로드된 생성 이미지 텐서입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2ImageNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `664ddf45d42f64e4882cc959018f7874915325f2d46519c6bb9a0c5a501228f7` diff --git a/ko/built-in-nodes/Flux2Scheduler.mdx b/ko/built-in-nodes/Flux2Scheduler.mdx new file mode 100644 index 000000000..83d0fbcab --- /dev/null +++ b/ko/built-in-nodes/Flux2Scheduler.mdx @@ -0,0 +1,29 @@ +--- +title: "Flux2Scheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Flux2Scheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Flux2Scheduler" +icon: "circle" +mode: wide +--- +# Flux2Scheduler + +Flux2Scheduler 노드는 Flux 모델에 특화된 노이즈 제거 프로세스를 위한 노이즈 수준 시퀀스(sigmas)를 생성합니다. 이 노드는 노이즈 제거 단계 수와 대상 이미지의 크기에 기반하여 스케줄을 계산하며, 이는 이미지 생성 중 노이즈 제거 진행 과정에 영향을 미칩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `스텝` | 수행할 노이즈 제거 단계 수입니다. 값이 클수록 일반적으로 더 세부적인 결과를 얻을 수 있지만 처리 시간이 더 오래 걸립니다(기본값: 20). | INT | 예 | 1 ~ 4096 | +| `너비` | 생성할 이미지의 너비(픽셀 단위)입니다. 이 값은 노이즈 스케줄 계산에 영향을 미칩니다(기본값: 1024). | INT | 예 | 16 ~ 16384 | +| `높이` | 생성할 이미지의 높이(픽셀 단위)입니다. 이 값은 노이즈 스케줄 계산에 영향을 미칩니다(기본값: 1024). | INT | 예 | 16 ~ 16384 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sigmas` | 샘플러의 노이즈 제거 스케줄을 정의하는 노이즈 수준 값(sigmas)의 시퀀스입니다. | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2Scheduler/ko.md) + +--- +**Source fingerprint (SHA-256):** `dbe44a6eb454dd61ab22df5770ad5ac559e03b20fd36d17d33730cdb835f7ede` diff --git a/ko/built-in-nodes/FluxDisableGuidance.mdx b/ko/built-in-nodes/FluxDisableGuidance.mdx new file mode 100644 index 000000000..d22d6b4f7 --- /dev/null +++ b/ko/built-in-nodes/FluxDisableGuidance.mdx @@ -0,0 +1,27 @@ +--- +title: "FluxDisableGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxDisableGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxDisableGuidance" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxDisableGuidance/en.md) + +이 노드는 Flux 및 유사한 모델에 대한 가이던스 임베드 기능을 완전히 비활성화합니다. 컨디셔닝 데이터를 입력으로 받아 가이던스 구성 요소를 None으로 설정하여 제거함으로써, 생성 과정에서 가이던스 기반 컨디셔닝을 효과적으로 끕니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `조건` | 가이던스를 제거하기 위해 처리할 컨디셔닝 데이터 | CONDITIONING | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `조건` | 가이던스가 비활성화된 수정된 컨디셔닝 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxDisableGuidance/ko.md) + +--- +**Source fingerprint (SHA-256):** `37e544460d5e50542cebb451997c0320f16d822cc5695cb34825d2038866a455` diff --git a/ko/built-in-nodes/FluxEraseNode.mdx b/ko/built-in-nodes/FluxEraseNode.mdx new file mode 100644 index 000000000..2fe6a0585 --- /dev/null +++ b/ko/built-in-nodes/FluxEraseNode.mdx @@ -0,0 +1,32 @@ +--- +title: "FluxEraseNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxEraseNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxEraseNode" +icon: "circle" +mode: wide +--- +# Flux Erase 노드 + +이미지에서 마스크 처리된 객체를 제거하고 배경을 재구성합니다. 지우고 싶은 영역 위에 마스크를 칠하면, 노드가 해당 영역을 그럴듯한 배경 콘텐츠로 채웁니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `image` | 처리할 입력 이미지 | IMAGE | 예 | - | +| `mask` | 흰색 영역은 제거되고, 검은색 영역은 보존됩니다 | MASK | 예 | - | +| `dilate_pixels` | 객체 가장자리를 깔끔하게 덮기 위해 마스크 경계를 확장합니다 (기본값: 10) | INT | 예 | 0 ~ 25 | +| `seed` | 노이즈 생성에 사용되는 난수 시드 (기본값: 0) | INT | 아니요 | 0 ~ 2147483647 | + +**참고:** 입력 이미지는 가로와 세로 모두 최소 256x256 픽셀이어야 합니다. 마스크는 이미지 크기에 맞게 자동으로 조정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `IMAGE` | 마스크 처리된 객체가 제거되고 배경이 재구성된 결과 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxEraseNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `70cf3223bc1ba0528cf99e84f073bd7a1bbcc26164cef99f4deb1645038fbf11` diff --git a/ko/built-in-nodes/FluxGuidance.mdx b/ko/built-in-nodes/FluxGuidance.mdx new file mode 100644 index 000000000..f663eb2f0 --- /dev/null +++ b/ko/built-in-nodes/FluxGuidance.mdx @@ -0,0 +1,21 @@ +--- +title: "FluxGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxGuidance" +icon: "circle" +mode: wide +--- +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `조건` | 이전 인코딩 또는 처리 단계에서 얻은 입력 조건화 데이터입니다 | CONDITIONING | +| `지침` | 이미지 생성 시 텍스트 프롬프트의 영향을 제어하며, 0.0에서 100.0 사이로 조정 가능합니다 | FLOAT | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| CONDITIONING | 새로운 guidance 값을 포함하는 업데이트된 조건화 데이터입니다 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxGuidance/ko.md) diff --git a/ko/built-in-nodes/FluxKVCache.mdx b/ko/built-in-nodes/FluxKVCache.mdx new file mode 100644 index 000000000..f626938a2 --- /dev/null +++ b/ko/built-in-nodes/FluxKVCache.mdx @@ -0,0 +1,27 @@ +--- +title: "FluxKVCache - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxKVCache node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxKVCache" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKVCache/en.md) + +Flux KV Cache 노드는 Flux 계열 모델에 대해 Key-Value(KV) 캐시 최적화를 활성화합니다. 이 최적화는 참조 이미지를 사용할 때 특정 계산을 캐싱하여 성능을 향상시키며, 생성 과정의 속도를 높일 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | KV 캐시 최적화를 적용할 모델입니다. | MODEL | 예 | | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | KV 캐시 최적화가 활성화된 패치된 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKVCache/ko.md) + +--- +**Source fingerprint (SHA-256):** `530c660ae23607d4035815826ae73cdcbebe7693ba47a3b0fe98e69f329b9e86` diff --git a/ko/built-in-nodes/FluxKontextImageScale.mdx b/ko/built-in-nodes/FluxKontextImageScale.mdx new file mode 100644 index 000000000..acce0e3d2 --- /dev/null +++ b/ko/built-in-nodes/FluxKontextImageScale.mdx @@ -0,0 +1,46 @@ +--- +title: "FluxKontextImageScale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxKontextImageScale node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxKontextImageScale" +icon: "circle" +mode: wide +--- +이 노드는 입력 이미지의 종횡비를 기준으로 Lanczos 알고리즘을 사용하여 Flux Kontext 모델 학습 중 사용되는 최적 크기로 이미지를 조정합니다. 특히 큰 크기의 이미지를 입력할 때 유용하며, 과도하게 큰 입력은 모델 출력 품질 저하 또는 출력에 여러 객체가 나타나는 문제를 초래할 수 있습니다. + +## 입력 + +| 매개변수 이름 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 값 범위 | +| --- | --- | --- | --- | --- | --- | +| `이미지` | 크기를 조정할 입력 이미지 | IMAGE | 필수 | - | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 크기가 조정된 이미지 | IMAGE | + +## 사전 설정 크기 목록 + +다음은 모델 학습 중 사용되는 표준 크기 목록입니다. 이 노드는 입력 이미지의 종횡비와 가장 가까운 크기를 선택합니다: + +| 너비 | 높이 | 종횡비 | +|-------|--------|--------------| +| 672 | 1568 | 0.429 | +| 688 | 1504 | 0.457 | +| 720 | 1456 | 0.494 | +| 752 | 1392 | 0.540 | +| 800 | 1328 | 0.603 | +| 832 | 1248 | 0.667 | +| 880 | 1184 | 0.743 | +| 944 | 1104 | 0.855 | +| 1024 | 1024 | 1.000 | +| 1104 | 944 | 1.170 | +| 1184 | 880 | 1.345 | +| 1248 | 832 | 1.500 | +| 1328 | 800 | 1.660 | +| 1392 | 752 | 1.851 | +| 1456 | 720 | 2.022 | +| 1504 | 688 | 2.186 | +| 1568 | 672 | 2.333 | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextImageScale/ko.md) diff --git a/ko/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx b/ko/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx new file mode 100644 index 000000000..11072bb7d --- /dev/null +++ b/ko/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx @@ -0,0 +1,28 @@ +--- +title: "FluxKontextMultiReferenceLatentMethod - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxKontextMultiReferenceLatentMethod node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxKontextMultiReferenceLatentMethod" +icon: "circle" +mode: wide +--- +# FluxKontextMultiReferenceLatentMethod + +FluxKontextMultiReferenceLatentMethod 노드는 특정 참조 잠재 변수 방식을 설정하여 컨디셔닝 데이터를 수정합니다. 선택한 방식을 컨디셔닝 입력에 추가하며, 이는 후속 생성 단계에서 참조 잠재 변수가 처리되는 방식에 영향을 줍니다. 이 노드는 실험적 기능으로 표시되어 있으며 Flux 컨디셔닝 시스템의 일부입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `조건화` | 참조 잠재 변수 방식으로 수정할 컨디셔닝 데이터 | CONDITIONING | 예 | - | +| `참조 잠재 방법` | 참조 잠재 변수 처리에 사용할 방식입니다. "uxo" 또는 "uso"를 선택하면 "uxo"로 변환됩니다. 이 매개변수는 고급 설정으로 표시되어 있습니다. | STRING | 예 | `"offset"`
`"index"`
`"uxo/uno"`
`"index_timestep_zero"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `조건화` | 참조 잠재 변수 방식이 적용된 수정된 컨디셔닝 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/ko.md) + +--- +**Source fingerprint (SHA-256):** `9d39a8fee08ae347a745b20b3dc39051ee2f4645392e769247ae32be35491048` diff --git a/ko/built-in-nodes/FluxProCannyNode.mdx b/ko/built-in-nodes/FluxProCannyNode.mdx new file mode 100644 index 000000000..be74cadb8 --- /dev/null +++ b/ko/built-in-nodes/FluxProCannyNode.mdx @@ -0,0 +1,35 @@ +--- +title: "FluxProCannyNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxProCannyNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxProCannyNode" +icon: "circle" +mode: wide +--- +제어 이미지(캐니)를 사용하여 이미지를 생성합니다. 이 노드는 제어 이미지를 입력받아, 제어 이미지에서 감지된 에지 구조를 따르면서 제공된 프롬프트를 기반으로 새 이미지를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `control_image` | 캐니 에지 감지 제어에 사용되는 입력 이미지 | IMAGE | 예 | - | +| `prompt` | 이미지 생성을 위한 프롬프트 (기본값: 빈 문자열) | STRING | 아니요 | - | +| `prompt_upsampling` | 프롬프트에 업샘플링을 수행할지 여부입니다. 활성화하면 프롬프트가 더 창의적인 생성을 위해 자동으로 수정되지만, 결과는 비결정적입니다(동일한 시드라도 정확히 동일한 결과가 생성되지 않습니다). (기본값: False) | BOOLEAN | 아니요 | - | +| `canny_low_threshold` | 캐니 에지 감지의 낮은 임계값입니다. `skip_preprocessing`이 True이면 무시됩니다. (기본값: 0.1) | FLOAT | 아니요 | 0.01 - 0.99 | +| `canny_high_threshold` | 캐니 에지 감지의 높은 임계값입니다. `skip_preprocessing`이 True이면 무시됩니다. (기본값: 0.4) | FLOAT | 아니요 | 0.01 - 0.99 | +| `skip_preprocessing` | 전처리 생략 여부입니다. `control_image`가 이미 캐니 처리된 이미지이면 True로 설정하고, 원본 이미지이면 False로 설정합니다. (기본값: False) | BOOLEAN | 아니요 | - | +| `guidance` | 이미지 생성 과정의 안내 강도입니다. (기본값: 30) | FLOAT | 아니요 | 1 - 100 | +| `steps` | 이미지 생성 과정의 단계 수입니다. (기본값: 50) | INT | 아니요 | 15 - 50 | +| `seed` | 노이즈 생성에 사용되는 난수 시드입니다. (기본값: 0) | INT | 아니요 | 0 - 18446744073709551615 | + +**참고:** `skip_preprocessing`이 True로 설정되면, 제어 이미지가 이미 캐니 에지 이미지로 처리된 것으로 간주되므로 `canny_low_threshold` 및 `canny_high_threshold` 매개변수가 무시됩니다. 그러면 `control_image`가 전처리된 이미지로 직접 사용됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output_image` | 제어 이미지와 프롬프트를 기반으로 생성된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProCannyNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `dedf55a2b2c183519d7f5be0d9a96abbe40716a247f574fc0d50f10f715949a7` diff --git a/ko/built-in-nodes/FluxProDepthNode.mdx b/ko/built-in-nodes/FluxProDepthNode.mdx new file mode 100644 index 000000000..4cd7a277d --- /dev/null +++ b/ko/built-in-nodes/FluxProDepthNode.mdx @@ -0,0 +1,33 @@ +--- +title: "FluxProDepthNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxProDepthNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxProDepthNode" +icon: "circle" +mode: wide +--- +이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProDepthNode/en.md) + +이 노드는 깊이 제어 이미지를 가이드로 사용하여 이미지를 생성합니다. 제어 이미지와 텍스트 프롬프트를 입력받아, 제어 이미지의 깊이 정보와 프롬프트의 설명을 모두 따르는 새로운 이미지를 만듭니다. 이 노드는 외부 API에 연결되어 이미지 생성 과정을 수행합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `control_image` | 이미지 생성을 안내하는 데 사용되는 깊이 제어 이미지 | IMAGE | 예 | - | +| `prompt` | 이미지 생성을 위한 프롬프트 (기본값: 빈 문자열) | STRING | 아니요 | - | +| `prompt_upsampling` | 프롬프트에 업샘플링을 수행할지 여부입니다. 활성화되면 더 창의적인 생성을 위해 프롬프트를 자동으로 수정하지만, 결과는 비결정적입니다(동일한 시드로 완전히 동일한 결과가 생성되지 않음). (기본값: False) | BOOLEAN | 아니요 | - | +| `skip_preprocessing` | 전처리 생략 여부입니다. `control_image`가 이미 깊이 맵(depth-ified) 상태이면 True로 설정하고, 원시 이미지이면 False로 설정합니다. (기본값: False) | BOOLEAN | 아니요 | - | +| `guidance` | 이미지 생성 과정의 가이던스 강도 (기본값: 15) | FLOAT | 아니요 | 1-100 | +| `steps` | 이미지 생성 과정의 단계 수 (기본값: 50) | INT | 아니요 | 15-50 | +| `seed` | 노이즈 생성에 사용되는 난수 시드입니다. (기본값: 0) | INT | 아니요 | 0-18446744073709551615 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output_image` | 깊이 제어 이미지와 프롬프트를 기반으로 생성된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProDepthNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `34b80d7d63158b7dc4ad02da6b3a573b713d77efd0955d3477409f776f964462` diff --git a/ko/built-in-nodes/FluxProExpandNode.mdx b/ko/built-in-nodes/FluxProExpandNode.mdx new file mode 100644 index 000000000..c931c6af9 --- /dev/null +++ b/ko/built-in-nodes/FluxProExpandNode.mdx @@ -0,0 +1,34 @@ +--- +title: "FluxProExpandNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxProExpandNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxProExpandNode" +icon: "circle" +mode: wide +--- +프롬프트를 기반으로 이미지를 아웃페인팅합니다. 이 노드는 이미지의 상단, 하단, 좌측, 우측에 픽셀을 추가하여 이미지를 확장하면서 제공된 텍스트 설명과 일치하는 새로운 콘텐츠를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 확장할 입력 이미지 | IMAGE | 예 | - | +| `프롬프트` | 이미지 생성을 위한 프롬프트 (기본값: "") | STRING | 아니요 | - | +| `프롬프트 업샘플링` | 프롬프트에 업샘플링을 수행할지 여부입니다. 활성화하면 프롬프트를 자동으로 수정하여 보다 창의적인 생성을 유도하지만, 결과는 비결정적입니다(동일한 시드로도 정확히 동일한 결과가 생성되지 않음). (기본값: False) | BOOLEAN | 아니요 | - | +| `상단` | 이미지 상단에 확장할 픽셀 수 (기본값: 0) | INT | 아니요 | 0-2048 | +| `하단` | 이미지 하단에 확장할 픽셀 수 (기본값: 0) | INT | 아니요 | 0-2048 | +| `좌측` | 이미지 좌측에 확장할 픽셀 수 (기본값: 0) | INT | 아니요 | 0-2048 | +| `우측` | 이미지 우측에 확장할 픽셀 수 (기본값: 0) | INT | 아니요 | 0-2048 | +| `가이던스` | 이미지 생성 과정의 안내 강도 (기본값: 60) | FLOAT | 아니요 | 1.5-100 | +| `스텝 수` | 이미지 생성 과정의 단계 수 (기본값: 50) | INT | 아니요 | 15-50 | +| `시드` | 노이즈 생성에 사용되는 난수 시드입니다. (기본값: 0) | INT | 아니요 | 0-18446744073709551615 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 확장된 출력 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProExpandNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `15b21f1de8a98a6bcde131a61c01b062434c6a959bc563550d613972412973fe` diff --git a/ko/built-in-nodes/FluxProFillNode.mdx b/ko/built-in-nodes/FluxProFillNode.mdx new file mode 100644 index 000000000..394aa16e6 --- /dev/null +++ b/ko/built-in-nodes/FluxProFillNode.mdx @@ -0,0 +1,33 @@ +--- +title: "FluxProFillNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxProFillNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxProFillNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProFillNode/en.md) + +마스크와 프롬프트를 기반으로 이미지를 인페인트합니다. 이 노드는 Flux.1 모델을 사용하여 제공된 텍스트 설명에 따라 이미지의 마스크 영역을 채우고, 주변 이미지와 일치하는 새로운 콘텐츠를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 인페인트할 입력 이미지 | IMAGE | 예 | - | +| `마스크` | 이미지에서 채워야 할 영역을 정의하는 마스크 | MASK | 예 | - | +| `프롬프트` | 이미지 생성을 위한 프롬프트 (기본값: 빈 문자열) | STRING | 아니요 | - | +| `프롬프트 업샘플링` | 프롬프트에 업샘플링을 수행할지 여부입니다. 활성화하면 프롬프트가 자동으로 수정되어 더 창의적인 생성을 유도하지만, 결과는 비결정적입니다(동일한 시드로도 완전히 동일한 결과가 생성되지 않습니다). (기본값: false) | BOOLEAN | 아니요 | - | +| `가이던스` | 이미지 생성 과정의 안내 강도 (기본값: 60) | FLOAT | 아니요 | 1.5-100 | +| `스텝 수` | 이미지 생성 과정의 단계 수 (기본값: 50) | INT | 아니요 | 15-50 | +| `시드` | 노이즈 생성에 사용되는 난수 시드입니다. (기본값: 0) | INT | 아니요 | 0-18446744073709551615 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output_image` | 프롬프트에 따라 마스크 영역이 채워진 생성된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProFillNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `ae2708d9e4b99ecb142fca0693c3973957c5677e8121eb5e34d30f872d7102c0` diff --git a/ko/built-in-nodes/FluxProImageNode.mdx b/ko/built-in-nodes/FluxProImageNode.mdx new file mode 100644 index 000000000..d9d96bdcc --- /dev/null +++ b/ko/built-in-nodes/FluxProImageNode.mdx @@ -0,0 +1,32 @@ +--- +title: "FluxProImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxProImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxProImageNode" +icon: "circle" +mode: wide +--- +# 개요 + +프롬프트와 해상도를 기반으로 이미지를 동기적으로 생성합니다. 이 노드는 Flux 1.1 Pro 모델을 사용하여 API 엔드포인트에 요청을 보내고, 완전한 응답을 받은 후 생성된 이미지를 반환하여 이미지를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 이미지 생성을 위한 프롬프트 (기본값: 빈 문자열) | STRING | 예 | - | +| `prompt_upsampling` | 프롬프트에 업샘플링을 수행할지 여부입니다. 활성화하면 프롬프트를 자동으로 수정하여 더 창의적인 생성을 유도하지만, 결과는 비결정적입니다(동일한 시드로 완전히 동일한 결과가 생성되지 않습니다). (기본값: False) | BOOLEAN | 예 | - | +| `width` | 이미지 너비(픽셀 단위) (기본값: 1024, 단계: 32) | INT | 예 | 256-1440 | +| `height` | 이미지 높이(픽셀 단위) (기본값: 768, 단계: 32) | INT | 예 | 256-1440 | +| `seed` | 노이즈 생성에 사용되는 무작위 시드입니다. (기본값: 0) | INT | 예 | 0-18446744073709551615 | +| `image_prompt` | 생성을 안내하는 선택적 참조 이미지입니다 | IMAGE | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | API에서 반환된 생성된 이미지입니다 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProImageNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `89316d84f364854541157b5b60bae3d4e25024bd4af61a47a1748c6671b463c1` diff --git a/ko/built-in-nodes/FluxProUltraImageNode.mdx b/ko/built-in-nodes/FluxProUltraImageNode.mdx new file mode 100644 index 000000000..3f604fe6f --- /dev/null +++ b/ko/built-in-nodes/FluxProUltraImageNode.mdx @@ -0,0 +1,35 @@ +--- +title: "FluxProUltraImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxProUltraImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxProUltraImageNode" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md) + +프롬프트와 해상도를 기반으로 API를 통해 Flux Pro 1.1 Ultra를 사용하여 이미지를 생성합니다. 이 노드는 외부 서비스에 연결하여 텍스트 설명과 지정된 크기에 따라 이미지를 만듭니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 이미지 생성을 위한 프롬프트 (기본값: 빈 문자열) | STRING | 예 | - | +| `프롬프트 업샘플링` | 프롬프트에 업샘플링을 수행할지 여부입니다. 활성화하면 더 창의적인 생성을 위해 프롬프트가 자동으로 수정되지만, 결과는 비결정적입니다(동일한 시드로도 정확히 동일한 결과가 생성되지 않음). (기본값: False) | BOOLEAN | 아니요 | - | +| `시드` | 노이즈 생성에 사용되는 난수 시드입니다. (기본값: 0) | INT | 아니요 | 0 ~ 18446744073709551615 | +| `종횡비` | 이미지의 종횡비이며, 1:4에서 4:1 사이여야 합니다. (기본값: "16:9") | STRING | 아니요 | - | +| `원본` | True로 설정하면 가공이 덜 된, 보다 자연스러운 이미지를 생성합니다. (기본값: False) | BOOLEAN | 아니요 | - | +| `이미지 프롬프트` | 생성을 안내하는 선택적 참조 이미지입니다. | IMAGE | 아니요 | - | +| `이미지 프롬프트 강도` | 프롬프트와 이미지 프롬프트 간의 혼합 비율입니다. (기본값: 0.1) | FLOAT | 아니요 | 0.0 ~ 1.0 | + +**참고:** `aspect_ratio` 매개변수는 1:4에서 4:1 사이여야 합니다. `image_prompt`가 제공되면 `image_prompt_strength`가 활성화되어 참조 이미지가 최종 출력에 미치는 영향을 제어합니다. `image_prompt`가 제공되지 않으면 `prompt` 매개변수가 비어 있지 않은지 확인하기 위해 유효성 검사가 수행됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output_image` | Flux Pro 1.1 Ultra에서 생성된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProUltraImageNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `8632aeb76e9007d65d7f3fd51465fe78f56ba92264ef65ce505db2fc95cfd25b` diff --git a/ko/built-in-nodes/FluxVTONode.mdx b/ko/built-in-nodes/FluxVTONode.mdx new file mode 100644 index 000000000..26556d92c --- /dev/null +++ b/ko/built-in-nodes/FluxVTONode.mdx @@ -0,0 +1,30 @@ +--- +title: "FluxVTONode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxVTONode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxVTONode" +icon: "circle" +mode: wide +--- +# Flux 가상 피팅 + +이 노드는 제공된 의류 이미지를 사람에게 입혀 가상 피팅을 수행합니다. BFL Flux VTO API를 사용하여 지정된 의류를 입은 사람의 사실적인 이미지를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `person` | 옷을 입힐 사람의 이미지입니다. | IMAGE | 예 | - | +| `garment` | 적용할 의류의 이미지입니다. | IMAGE | 예 | - | +| `prompt` | 선택적 자연어 스타일링 지침입니다(예: 의류가 어떻게 맞춰져야 하는지). | STRING | 아니요 | - | +| `seed` | 노이즈 생성에 사용되는 무작위 시드입니다. | INT | 아니요 | 0 ~ 18446744073709551615 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `image` | 제공된 의류를 입은 사람을 보여주는 결과 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxVTONode/ko.md) + +--- +**Source fingerprint (SHA-256):** `137c4cf91a539605ade93a428567619fea9e6a71459dd92354878fa2f2ea4afa` diff --git a/ko/built-in-nodes/FrameInterpolate.mdx b/ko/built-in-nodes/FrameInterpolate.mdx new file mode 100644 index 000000000..ecc7732d8 --- /dev/null +++ b/ko/built-in-nodes/FrameInterpolate.mdx @@ -0,0 +1,29 @@ +--- +title: "FrameInterpolate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FrameInterpolate node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FrameInterpolate" +icon: "circle" +mode: wide +--- +## 개요 + +Frame Interpolate 노드는 이미지 시퀀스에서 기존 프레임 사이에 새 프레임을 생성하여 프레임 속도를 효과적으로 증가시킵니다. AI 모델을 사용하여 중간 프레임이 어떻게 보여야 하는지 예측하며, 이를 통해 부드러운 슬로우 모션 효과를 만들거나 비디오의 부드러움을 향상시킬 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `interp_model` | 중간 프레임을 생성하는 데 사용할 프레임 보간 모델입니다 | MODEL | 예 | - | +| `이미지` | 보간할 연속 이미지(프레임) 배치입니다. 최소 2개의 이미지가 필요합니다. | IMAGE | 예 | - | +| `배수` | 프레임 수를 곱할 횟수입니다. 예를 들어, 승수가 2이면 프레임 수가 두 배가 됩니다. (기본값: 2) | INT | 예 | 2 ~ 16 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 원본 프레임 사이에 보간된 프레임이 삽입되어 더 부드러운 시퀀스를 생성한 새 이미지 배치입니다. 총 출력 프레임 수는 `(입력 프레임 수 - 1) * 승수 + 1`입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolate/ko.md) + +--- +**Source fingerprint (SHA-256):** `05fdac188d9d7c7d5cac9ade55ba22cc743395b3c659a519ca03fe293b9a6e34` diff --git a/ko/built-in-nodes/FrameInterpolationModelLoader.mdx b/ko/built-in-nodes/FrameInterpolationModelLoader.mdx new file mode 100644 index 000000000..21913e1ff --- /dev/null +++ b/ko/built-in-nodes/FrameInterpolationModelLoader.mdx @@ -0,0 +1,27 @@ +--- +title: "FrameInterpolationModelLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FrameInterpolationModelLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FrameInterpolationModelLoader" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 파일에서 프레임 보간 모델을 로드하여 워크플로우에서 사용할 수 있도록 준비합니다. 모델 유형(FILM 또는 RIFE)을 자동으로 감지하고, 사용자의 하드웨어에 최적화된 성능을 위해 모델을 구성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model_name` | 로드할 프레임 보간 모델을 선택합니다. 모델은 'frame_interpolation' 폴더에 배치되어야 합니다. | STRING | 예 | `frame_interpolation` 폴더 내 모델 파일 목록 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `FRAME_INTERPOLATION_MODEL` | 로드 및 구성된 프레임 보간 모델로, 다른 노드에서 사용할 준비가 되었습니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolationModelLoader/ko.md) + +--- +**Source fingerprint (SHA-256):** `497c20d5123bcbfd321dc4a659250ce3e0903e55c3a0274d3ed45710d75573d9` diff --git a/ko/built-in-nodes/FreSca.mdx b/ko/built-in-nodes/FreSca.mdx new file mode 100644 index 000000000..f9606d3cb --- /dev/null +++ b/ko/built-in-nodes/FreSca.mdx @@ -0,0 +1,28 @@ +--- +title: "FreSca - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FreSca node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FreSca" +icon: "circle" +mode: wide +--- +FreSca 노드는 샘플링 과정에서 안내(guidance)에 주파수 종속 스케일링을 적용합니다. 푸리에 필터링을 사용하여 안내 신호를 저주파 성분과 고주파 성분으로 분리한 후, 각 주파수 범위에 서로 다른 스케일링 계수를 적용한 다음 다시 결합합니다. 이를 통해 생성된 출력물의 다양한 측면에 안내가 미치는 영향을 더욱 세밀하게 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 주파수 스케일링을 적용할 모델 | MODEL | 예 | - | +| `저주파 스케일` | 저주파 성분에 대한 스케일링 계수 (기본값: 1.0) | FLOAT | 아니요 | 0 - 10 | +| `고주파 스케일` | 고주파 성분에 대한 스케일링 계수 (기본값: 1.25) | FLOAT | 아니요 | 0 - 10 | +| `주파수 컷오프` | 저주파로 간주할 중심 주변 주파수 인덱스 개수 (기본값: 20) | INT | 아니요 | 1 - 10000 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 안내 함수에 주파수 종속 스케일링이 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreSca/ko.md) + +--- +**Source fingerprint (SHA-256):** `254a28847e082739f80c9637d9657ef618d40db1862b6856c1cda22436438ded` diff --git a/ko/built-in-nodes/FreeU.mdx b/ko/built-in-nodes/FreeU.mdx new file mode 100644 index 000000000..161089238 --- /dev/null +++ b/ko/built-in-nodes/FreeU.mdx @@ -0,0 +1,29 @@ +--- +title: "FreeU - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FreeU node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FreeU" +icon: "circle" +mode: wide +--- +FreeU 노드는 모델의 출력 블록에 주파수 영역 변형을 적용하여 이미지 생성 품질을 향상시킵니다. 서로 다른 채널 그룹을 스케일링하고 특정 특징 맵에 푸리에 필터링을 적용함으로써, 생성 과정에서 모델의 동작을 세밀하게 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | FreeU 변형을 적용할 모델 | MODEL | 예 | - | +| `b1` | model_channels × 4 특징에 대한 백본 스케일링 계수 (기본값: 1.1) | FLOAT | 예 | 0.0 - 10.0 | +| `b2` | model_channels × 2 특징에 대한 백본 스케일링 계수 (기본값: 1.2) | FLOAT | 예 | 0.0 - 10.0 | +| `s1` | model_channels × 4 특징에 대한 스킵 연결 스케일링 계수 (기본값: 0.9) | FLOAT | 예 | 0.0 - 10.0 | +| `s2` | model_channels × 2 특징에 대한 스킵 연결 스케일링 계수 (기본값: 0.2) | FLOAT | 예 | 0.0 - 10.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | FreeU 패치가 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU/ko.md) + +--- +**Source fingerprint (SHA-256):** `449a02a4bb5b42eb37fab394bcdc6375e08e369961d633618211ebc5f737ab51` diff --git a/ko/built-in-nodes/FreeU_V2.mdx b/ko/built-in-nodes/FreeU_V2.mdx new file mode 100644 index 000000000..eb16982d7 --- /dev/null +++ b/ko/built-in-nodes/FreeU_V2.mdx @@ -0,0 +1,29 @@ +--- +title: "FreeU_V2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FreeU_V2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FreeU_V2" +icon: "circle" +mode: wide +--- +FreeU_V2 노드는 확산 모델의 U-Net 아키텍처에 주파수 기반 변형을 적용하여 이미지 생성 품질을 향상시킵니다. 구성 가능한 스케일링 팩터를 사용하여 서로 다른 블록의 특징 채널을 조정하며, 추가 학습 없이 출력 품질을 개선합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | FreeU 향상을 적용할 확산 모델 | MODEL | 예 | - | +| `b1` | 첫 번째 블록의 백본 특징 스케일링 팩터 (기본값: 1.3) | FLOAT | 예 | 0.0 - 10.0 | +| `b2` | 두 번째 블록의 백본 특징 스케일링 팩터 (기본값: 1.4) | FLOAT | 예 | 0.0 - 10.0 | +| `s1` | 첫 번째 블록의 스킵 특징 스케일링 팩터 (기본값: 0.9) | FLOAT | 예 | 0.0 - 10.0 | +| `s2` | 두 번째 블록의 스킵 특징 스케일링 팩터 (기본값: 0.2) | FLOAT | 예 | 0.0 - 10.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | FreeU 변형이 적용된 향상된 확산 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU_V2/ko.md) + +--- +**Source fingerprint (SHA-256):** `40ded64177e8e00cc5d8d5dde35c20958a77c500dada725572b64484c5ce1045` diff --git a/ko/built-in-nodes/GITSScheduler.mdx b/ko/built-in-nodes/GITSScheduler.mdx new file mode 100644 index 000000000..f14335582 --- /dev/null +++ b/ko/built-in-nodes/GITSScheduler.mdx @@ -0,0 +1,29 @@ +--- +title: "GITSScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GITSScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GITSScheduler" +icon: "circle" +mode: wide +--- +GITSScheduler 노드는 GITS(Generative Iterative Time Steps) 샘플링 방법을 위한 노이즈 스케줄 시그마를 생성합니다. 계수 매개변수와 단계 수를 기반으로 시그마 값을 계산하며, 선택적 디노이징 요소를 통해 사용되는 전체 단계 수를 줄일 수 있습니다. 이 노드는 사전 정의된 노이즈 수준과 보간법을 사용하여 최종 시그마 스케줄을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `계수` | 노이즈 스케줄 곡선을 제어하는 계수 값입니다 (기본값: 1.20) | FLOAT | 예 | 0.80 - 1.50 | +| `스텝 수` | 시그마를 생성할 총 샘플링 단계 수입니다 (기본값: 10) | INT | 예 | 2 - 1000 | +| `노이즈 제거양` | 사용되는 단계 수를 줄이는 디노이징 요소입니다 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +**참고:** `denoise`가 0.0으로 설정되면 노드는 빈 텐서를 반환합니다. `denoise`가 1.0보다 작으면 실제 사용되는 단계 수는 `round(steps * denoise)`로 계산됩니다. 단계 수가 20보다 큰 경우, 노드는 로그-선형 보간법을 사용하여 사전 정의된 노이즈 수준을 원하는 단계 수로 확장합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sigmas` | 노이즈 스케줄에 대해 생성된 시그마 값입니다 | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GITSScheduler/ko.md) + +--- +**Source fingerprint (SHA-256):** `b81b85f95236276822429ec7cbc90204c6f4f86ea3e89ed8b7c2aea40597fea9` diff --git a/ko/built-in-nodes/GLIGENLoader.mdx b/ko/built-in-nodes/GLIGENLoader.mdx new file mode 100644 index 000000000..8db64bdd7 --- /dev/null +++ b/ko/built-in-nodes/GLIGENLoader.mdx @@ -0,0 +1,24 @@ +--- +title: "GLIGENLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GLIGENLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GLIGENLoader" +icon: "circle" +mode: wide +--- +이 노드는 `ComfyUI/models/gligen` 폴더에 있는 모델을 감지하며, extra_model_paths.yaml 파일에 설정된 추가 경로의 모델도 읽어옵니다. 때로는 **ComfyUI 인터페이스를 새로고침**하여 해당 폴더에서 모델 파일을 읽도록 해야 할 수도 있습니다. + +`GLIGENLoader` 노드는 특수 생성 모델인 GLIGEN 모델을 로드하기 위해 설계되었습니다. 이 노드는 지정된 경로에서 이러한 모델을 검색하고 초기화하는 과정을 용이하게 하여, 이후의 생성 작업에 사용할 수 있도록 준비합니다. + +## 입력 + +| 필드 | 설명 | Comfy 자료형 | +| --- | --- | --- | +| `gligen 파일명` | 로드할 GLIGEN 모델의 이름으로, 검색 및 로드할 모델 파일을 지정하며, GLIGEN 모델 초기화에 중요합니다. | `COMBO[STRING]` | + +## 출력 + +| 필드 | 설명 | 자료형 | +| --- | --- | --- | +| `gligen` | 로드된 GLIGEN 모델로, 생성 작업에 사용할 준비가 되었으며, 지정된 경로에서 완전히 초기화된 모델을 나타냅니다. | `GLIGEN` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLIGENLoader/ko.md) diff --git a/ko/built-in-nodes/GLIGENTextBoxApply.mdx b/ko/built-in-nodes/GLIGENTextBoxApply.mdx new file mode 100644 index 000000000..f872d445d --- /dev/null +++ b/ko/built-in-nodes/GLIGENTextBoxApply.mdx @@ -0,0 +1,29 @@ +--- +title: "GLIGENTextBoxApply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GLIGENTextBoxApply node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GLIGENTextBoxApply" +icon: "circle" +mode: wide +--- +`GLIGENTextBoxApply` 노드는 텍스트 기반 컨디셔닝을 생성 모델의 입력에 통합하도록 설계되었습니다. 특히 텍스트 상자 매개변수를 적용하고 CLIP 모델을 사용하여 이를 인코딩합니다. 이 과정은 공간 및 텍스트 정보로 컨디셔닝을 강화하여 보다 정밀하고 맥락을 인식한 생성을 가능하게 합니다. + +## 입력 + +| 매개변수 | 설명 | Compy 자료형 | +| --- | --- | --- | +| `조건 대상` | 텍스트 상자 매개변수와 인코딩된 텍스트 정보가 추가될 초기 컨디셔닝 입력을 지정합니다. 새로운 컨디셔닝 데이터를 통합하여 최종 출력을 결정하는 데 중요한 역할을 합니다. | `CONDITIONING` | +| `clip` | 제공된 텍스트를 생성 모델이 사용할 수 있는 형식으로 인코딩하는 데 사용되는 CLIP 모델입니다. 텍스트 정보를 호환 가능한 컨디셔닝 형식으로 변환하는 데 필수적입니다. | `CLIP` | +| `gligen 텍스트상자 모델` | 텍스트 상자를 생성하는 데 사용될 특정 GLIGEN 모델 구성을 나타냅니다. 원하는 사양에 따라 텍스트 상자가 생성되도록 하는 데 중요합니다. | `GLIGEN` | +| `텍스트` | 인코딩되어 컨디셔닝에 통합될 텍스트 내용입니다. 생성 모델을 안내하는 의미 정보를 제공합니다. | `STRING` | +| `너비` | 텍스트 상자의 너비(픽셀 단위)입니다. 생성된 이미지 내에서 텍스트 상자의 공간적 크기를 정의합니다. | `INT` | +| `높이` | 텍스트 상자의 높이(픽셀 단위)입니다. 너비와 마찬가지로 생성된 이미지 내에서 텍스트 상자의 공간적 크기를 정의합니다. | `INT` | +| `x` | 생성된 이미지 내 텍스트 상자 왼쪽 상단 모서리의 x 좌표입니다. 텍스트 상자의 수평 위치를 지정합니다. | `INT` | +| `y` | 생성된 이미지 내 텍스트 상자 왼쪽 상단 모서리의 y 좌표입니다. 텍스트 상자의 수직 위치를 지정합니다. | `INT` | + +## 출력 + +| 매개변수 | 설명 | Comfy 자료형 | +| --- | --- | --- | +| `conditioning` | 원래 컨디셔닝 데이터와 새로 추가된 텍스트 상자 매개변수 및 인코딩된 텍스트 정보를 포함하는 강화된 컨디셔닝 출력입니다. 생성 모델이 맥락을 인식한 출력을 생성하도록 안내하는 데 사용됩니다. | `CONDITIONING` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLIGENTextBoxApply/ko.md) diff --git a/ko/built-in-nodes/GLSLShader.mdx b/ko/built-in-nodes/GLSLShader.mdx new file mode 100644 index 000000000..9d7ad2a70 --- /dev/null +++ b/ko/built-in-nodes/GLSLShader.mdx @@ -0,0 +1,305 @@ +--- +title: "GLSLShader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GLSLShader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GLSLShader" +icon: "circle" +mode: wide +--- +The **GLSL Shader** node lets you write custom fragment shaders in **GLSL ES 3.00** (WebGL 2.0 compatible) to process images directly on the GPU. You can create image effects like blurs, color grading, film grain, glow, and much more - all running at GPU speed. + + +The GLSL Shader node is currently marked as **experimental**, so the node may be updated and extended in future releases. + + +## Minimal Shader + +The simplest possible shader - a passthrough that outputs the input image unchanged: + +```glsl +#version 300 es +precision highp float; + +uniform sampler2D u_image0; + +in vec2 v_texCoord; +layout(location = 0) out vec4 fragColor0; + +void main() { + fragColor0 = texture(u_image0, v_texCoord); +} +``` + + +**Why GLSL ES 3.00?** Shaders need to run in two environments: the **browser** (via WebGL 2.0, which only supports GLSL ES 3.00) for live preview in the ComfyUI frontend, and the **Python backend** (via desktop OpenGL) when the workflow executes. GLSL ES 3.00 is the common denominator that works in both places. + + +## Available Uniforms + +These uniforms are automatically set by ComfyUI. You don't need to declare all of them - only declare the ones you use. + +### Images + +| Uniform | Description | Type | +| --- | --- | --- | +| `u_image0` – `u_image4` | Input images (up to 5). Sampled with `texture(u_image0, v_texCoord)`. Images are RGBA float textures with linear filtering and clamp-to-edge wrapping. | `sampler2D` | + +### Floats + +| Uniform | Description | Type | +| --- | --- | --- | +| `u_float0` – `u_float19` | Up to 20 user-controlled float values. Mapped from the **floats** input group on the node. | `float` | + +### Integers + +| Uniform | Description | Type | +| --- | --- | --- | +| `u_int0` – `u_int19` | Up to 20 user-controlled integer values. Mapped from the **ints** input group on the node. | `int` | + + +**Using int uniforms as dropdowns:** Int uniforms pair well with the **Custom Combo** node's index output - users pick an option from a dropdown and the shader receives the selected item's index. + +```glsl +const int BLEND_SCREEN = 0; +const int BLEND_OVERLAY = 1; +const int BLEND_MULTIPLY = 2; + +// ... + +if (u_int0 == BLEND_SCREEN) { + // ... +} +``` + + +### Booleans + +| Uniform | Description | Type | +| --- | --- | --- | +| `u_bool0` – `u_bool9` | Up to 10 user-controlled boolean values. Mapped from the **bools** input group on the node. | `bool` | + +### Curves (1D LUTs) + +| Uniform | Description | Type | +| --- | --- | --- | +| `u_curve0` – `u_curve3` | Up to 4 user-editable curve LUTs from the **curves** input group. Each curve is a 1D lookup table stored as a single-row texture. | `sampler2D` | + + +**Using curve uniforms:** Curves let users draw arbitrary tone-mapping graphs in the UI (e.g. for contrast, gamma, per-channel grading, or any custom `input → output` remap). Sample the curve using your input value as the X coordinate - remember to clamp it to `[0, 1]` first: + +```glsl +float applyCurve(sampler2D curve, float value) { + return texture(curve, vec2(clamp(value, 0.0, 1.0), 0.5)).r; +} + +// Usage: remap each RGB channel through a master curve +color.r = applyCurve(u_curve0, color.r); +color.g = applyCurve(u_curve0, color.g); +color.b = applyCurve(u_curve0, color.b); +``` + +Common uses: master RGB curves, per-channel R/G/B curves, luminance-driven remaps, custom gamma, and any effect where you want the user to shape a response curve visually. + + +### Resolution + +| Uniform | Description | Type | +| --- | --- | --- | +| `u_resolution` | **Output** framebuffer dimensions in pixels (`width, height`). This is the size you're writing to, which may differ from any input image's size when `size_mode` is `"custom"`. | `vec2` | + + +**Computing texel size for sampling:** Don't use `1.0 / u_resolution` to step one pixel in an input texture. `u_resolution` is the *output* size, which may not match the input's size. Instead use `textureSize()` on the actual texture you're sampling: + +```glsl +vec2 texel = 1.0 / vec2(textureSize(u_image0, 0)); +``` + +Use `u_resolution` only when you need the output framebuffer dimensions themselves (e.g. computing `gl_FragCoord.xy / u_resolution` to get screen-space UVs). + + +### Multi-Pass + +| Uniform | Description | Type | +| --- | --- | --- | +| `u_pass` | Current pass index (0-based). Only meaningful when using `#pragma passes` - see [Multi-Pass Ping-Pong Rendering](#multi-pass-ping-pong-rendering) for details. | `int` | + +### Vertex Shader Output + +| Varying | Description | Type | +| --- | --- | --- | +| `v_texCoord` | Texture coordinates ranging from (0,0) at bottom-left to (1,1) at top-right. | `vec2` | + +## Multiple Outputs (MRT) + +The node supports up to **4 simultaneous outputs** using Multiple Render Targets. Declare additional outputs with explicit locations: + +```glsl +#version 300 es +precision highp float; + +uniform sampler2D u_image0; + +in vec2 v_texCoord; +layout(location = 0) out vec4 fragColor0; +layout(location = 1) out vec4 fragColor1; +layout(location = 2) out vec4 fragColor2; +layout(location = 3) out vec4 fragColor3; + +void main() { + vec4 color = texture(u_image0, v_texCoord); + fragColor0 = vec4(vec3(color.r), 1.0); // Red channel + fragColor1 = vec4(vec3(color.g), 1.0); // Green channel + fragColor2 = vec4(vec3(color.b), 1.0); // Blue channel + fragColor3 = vec4(vec3(color.a), 1.0); // Alpha channel +} +``` + +Each `fragColor` maps to the corresponding `IMAGE` output on the node. ComfyUI auto-detects which outputs you use - unused outputs will be black. + +## Multi-Pass Ping-Pong Rendering + +Some effects (like separable blur) need multiple passes over the image. Use the `#pragma passes N` directive to enable this: + +```glsl +#version 300 es +#pragma passes 2 +precision highp float; + +uniform sampler2D u_image0; +uniform float u_float0; // Blur radius +uniform int u_pass; + +in vec2 v_texCoord; +layout(location = 0) out vec4 fragColor0; + +void main() { + vec2 texel = 1.0 / vec2(textureSize(u_image0, 0)); + int radius = int(ceil(u_float0)); + + // Pass 0 = horizontal blur, Pass 1 = vertical blur + vec2 dir = (u_pass == 0) ? vec2(1.0, 0.0) : vec2(0.0, 1.0); + + vec4 color = vec4(0.0); + float total = 0.0; + + for (int i = -radius; i <= radius; i++) { + vec2 offset = dir * float(i) * texel; + float w = 1.0; // box blur weight + color += texture(u_image0, v_texCoord + offset) * w; + total += w; + } + + fragColor0 = color / total; +} +``` + +### How ping-pong works + +1. **Pass 0**: Reads from the original `u_image0` input, writes to an internal ping-pong texture. +2. **Pass 1–N**: Reads from the *previous pass output* via `u_image0` (the binding is swapped automatically), writes to the other ping-pong texture. +3. **Final pass**: Writes to the actual output framebuffer (`fragColor0`). + + +When using multi-pass with MRT (multiple outputs), only the first output (`fragColor0`) participates in ping-pong. The final pass writes all outputs. + + +## Examples + +### Grayscale Conversion + +```glsl +#version 300 es +precision highp float; + +uniform sampler2D u_image0; +in vec2 v_texCoord; +layout(location = 0) out vec4 fragColor0; + +void main() { + vec4 color = texture(u_image0, v_texCoord); + float gray = dot(color.rgb, vec3(0.2126, 0.7152, 0.0722)); + fragColor0 = vec4(vec3(gray), color.a); +} +``` + +### Image Blending + +Blend two input images using a float parameter as the mix factor: + +```glsl +#version 300 es +precision highp float; + +uniform sampler2D u_image0; +uniform sampler2D u_image1; +uniform float u_float0; // mix factor [0.0 – 1.0] + +in vec2 v_texCoord; +layout(location = 0) out vec4 fragColor0; + +void main() { + vec4 a = texture(u_image0, v_texCoord); + vec4 b = texture(u_image1, v_texCoord); + fragColor0 = mix(a, b, clamp(u_float0, 0.0, 1.0)); +} +``` + +## Using an LLM to Generate Shaders + +You can use any LLM (Claude, ChatGPT, etc.) to write GLSL shaders for you. Copy the following prompt and fill in your desired effect: + +````markdown +Write a GLSL ES 3.00 fragment shader for ComfyUI's GLSLShader node. + +**Effect I want:** [DESCRIBE YOUR DESIRED EFFECT HERE] + +**Requirements:** +- Must start with `#version 300 es` +- Use `precision highp float;` +- The vertex shader provides `in vec2 v_texCoord` (0–1 UV coordinates, bottom-left origin) +- Output to `layout(location = 0) out vec4 fragColor0` (RGBA) +- Additional outputs available: `fragColor1`, `fragColor2`, `fragColor3` at locations 1–3 + +**Template to follow (minimal passthrough shader - use this exact structure):** + +```glsl +#version 300 es +precision highp float; + +uniform sampler2D u_image0; + +in vec2 v_texCoord; +layout(location = 0) out vec4 fragColor0; + +void main() { + fragColor0 = texture(u_image0, v_texCoord); +} +``` + +**Available uniforms (declare only what you use):** +- `uniform sampler2D u_image0;` through `u_image4` - up to 5 input images (RGBA float, linear filtering, clamp-to-edge) +- `uniform vec2 u_resolution;` - **output framebuffer** width and height in pixels. This is NOT the input texture size (they can differ when the user sets a custom output size). **To step one pixel in an input texture, use `vec2 texel = 1.0 / vec2(textureSize(u_image0, 0));` - do NOT use `1.0 / u_resolution` for this.** +- `uniform float u_float0;` through `u_float19;` - up to 20 user-controlled float parameters +- `uniform int u_int0;` through `u_int19;` - up to 20 user-controlled integer parameters. Tip: int uniforms can be wired from a **Custom Combo** node's index output, so users select from a dropdown and the shader receives the index. Use this for mode selection (e.g. blend mode, blur type). Define named constants for each option and branch on those - do NOT compare against raw integer literals. For example: `const int BLUR_GAUSSIAN = 0; const int BLUR_BOX = 1; ... if (u_int0 == BLUR_GAUSSIAN) { ... }`. +- `uniform bool u_bool0;` through `u_bool9;` - up to 10 user-controlled boolean parameters (use for feature toggles) +- `uniform sampler2D u_curve0;` through `u_curve3;` - up to 4 user-editable 1D LUT curves. Sample with `texture(u_curve0, vec2(clamp(x, 0.0, 1.0), 0.5)).r` where `x` is 0–1. Use for tone curves, remapping, etc. +- `uniform int u_pass;` - current pass index (when using multi-pass) + +**Multi-pass rendering:** +- Add `#pragma passes N` on the second line to enable N passes +- On pass 0, `u_image0` is the original input; on subsequent passes it contains the previous pass output +- Use `u_pass` to vary behavior per pass (e.g., horizontal vs. vertical blur) + +**Important constraints:** +- GLSL ES 3.00 only - no GLSL 1.x `varying`/`attribute`, no `gl_FragColor` +- No `#include`, no external textures, no custom vertex shader +- Document each uniform with a comment showing its purpose and expected range +```` + +### Example prompt fill-in + +> **Effect I want:** A chromatic aberration effect that splits RGB channels outward from the center of the image. u_float0 controls the strength of the offset (0 = no effect, 10 = extremely strong). The offset should scale with distance from the center. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLSLShader/ko.md) + +--- +**Source fingerprint (SHA-256):** `7830977409a5efab205b7c927eb83499a9e1e8299959b34643c9c3f1f586c058` diff --git a/ko/built-in-nodes/GeminiImage2Node.mdx b/ko/built-in-nodes/GeminiImage2Node.mdx new file mode 100644 index 000000000..a794a8eb8 --- /dev/null +++ b/ko/built-in-nodes/GeminiImage2Node.mdx @@ -0,0 +1,41 @@ +--- +title: "GeminiImage2Node - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiImage2Node node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiImage2Node" +icon: "circle" +mode: wide +--- +# GeminiImage2Node + +GeminiImage2Node는 Google의 Vertex AI Gemini 모델을 사용하여 이미지를 생성하거나 편집합니다. 텍스트 프롬프트와 선택적 참조 이미지 또는 파일을 API로 전송하고 생성된 이미지 및/또는 텍스트 설명을 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 생성할 이미지 또는 적용할 편집 내용을 설명하는 텍스트 프롬프트입니다. 모델이 따라야 할 제약 조건, 스타일 또는 세부 사항을 포함하세요. | STRING | 예 | 해당 없음 | +| `모델` | 생성에 사용할 특정 Gemini 모델입니다. "Nano Banana 2" 옵션은 내부적으로 `gemini-3.1-flash-image-preview` 모델에 매핑됩니다. | COMBO | 예 | `"gemini-3-pro-image-preview"`
`"Nano Banana 2 (Gemini 3.1 Flash Image)"` | +| `시드` | 특정 값으로 고정하면 모델이 반복 요청에 대해 동일한 응답을 제공하기 위해 최선을 다합니다. 결정론적 출력은 보장되지 않습니다. 모델이나 다른 설정을 변경하면 동일한 시드라도 변형이 발생할 수 있습니다. 기본값: 42. | INT | 예 | 0 ~ 18446744073709551615 | +| `종횡비` | 출력 이미지의 원하는 종횡비입니다. 'auto'로 설정하면 입력 이미지의 종횡비와 일치하며, 이미지가 제공되지 않은 경우 일반적으로 16:9 정사각형이 생성됩니다. 기본값: "auto". | COMBO | 예 | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"4:5"`
`"5:4"`
`"9:16"`
`"16:9"`
`"21:9"` | +| `해상도` | 대상 출력 해상도입니다. 2K/4K의 경우 기본 Gemini 업스케일러가 사용됩니다. | COMBO | 예 | `"1K"`
`"2K"`
`"4K"` | +| `응답 형식` | 이미지만 출력하려면 'IMAGE'를 선택하고, 생성된 이미지와 텍스트 응답을 모두 반환하려면 'IMAGE+TEXT'를 선택하세요. | COMBO | 예 | `"IMAGE+TEXT"`
`"IMAGE"` | +| `이미지` | 선택적 참조 이미지입니다. 여러 이미지를 포함하려면 배치 이미지 노드를 사용하세요(최대 14개). | IMAGE | 아니요 | 해당 없음 | +| `파일` | 모델의 컨텍스트로 사용할 선택적 파일입니다. Gemini Generate Content Input Files 노드의 입력을 허용합니다. | CUSTOM | 아니요 | 해당 없음 | +| `시스템 프롬프트` | AI의 동작을 지시하는 기본 지침입니다. 기본값: 이미지 생성을 위한 사전 정의된 시스템 프롬프트입니다. | STRING | 아니요 | 해당 없음 | + +**제약 조건:** + +* `images` 입력은 최대 14개의 이미지를 지원합니다. 더 많이 제공하면 오류가 발생합니다. +* `files` 입력은 `GEMINI_INPUT_FILES` 데이터 타입을 출력하는 노드에 연결되어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | Gemini 모델이 생성하거나 편집한 이미지입니다. | IMAGE | +| `string` | 모델의 텍스트 응답입니다. `응답 형식`가 "IMAGE"로 설정된 경우 이 출력은 비어 있습니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage2Node/ko.md) + +--- +**Source fingerprint (SHA-256):** `20a937a635f883a42e22582ae415f6d2a9a6ecc50f147c9090431877e5461144` diff --git a/ko/built-in-nodes/GeminiImageNode.mdx b/ko/built-in-nodes/GeminiImageNode.mdx new file mode 100644 index 000000000..ed445f612 --- /dev/null +++ b/ko/built-in-nodes/GeminiImageNode.mdx @@ -0,0 +1,29 @@ +--- +title: "GeminiImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiImageNode" +icon: "circle" +mode: wide +--- +GeminiImage 노드는 Google의 Gemini AI 모델로부터 텍스트 및 이미지 응답을 생성합니다. 텍스트 프롬프트, 이미지, 파일을 포함한 멀티모달 입력을 제공하여 일관된 텍스트 및 이미지 출력을 생성할 수 있습니다. 이 노드는 최신 Gemini 모델과의 모든 API 통신 및 응답 구문 분석을 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `prompt` | 생성을 위한 텍스트 프롬프트 | STRING | 필수 | "" | - | +| `model` | 응답 생성에 사용할 Gemini 모델 | COMBO | 필수 | gemini_2_5_flash_image_preview | 사용 가능한 Gemini 모델
GeminiImageModel 열거형에서 추출된 옵션 | +| `seed` | 시드가 특정 값으로 고정되면 모델은 반복 요청에 대해 동일한 응답을 제공하기 위해 최선을 다합니다. 결정론적 출력은 보장되지 않습니다. 또한 모델이나 온도와 같은 매개변수 설정을 변경하면 동일한 시드 값을 사용하더라도 응답에 차이가 발생할 수 있습니다. 기본적으로 무작위 시드 값이 사용됩니다. | INT | 필수 | 42 | 0 ~ 18446744073709551615 | +| `images` | 모델의 컨텍스트로 사용할 선택적 이미지입니다. 여러 이미지를 포함하려면 이미지 일괄 처리 노드를 사용할 수 있습니다. | IMAGE | 선택 사항 | None | - | +| `files` | 모델의 컨텍스트로 사용할 선택적 파일입니다. Gemini 콘텐츠 생성 입력 파일 노드의 입력을 허용합니다. | GEMINI_INPUT_FILES | 선택 사항 | None | - | + +*참고: 노드에는 시스템에서 자동으로 처리되며 사용자 입력이 필요하지 않은 숨겨진 매개변수(`auth_token`, `comfy_api_key`, `unique_id`)가 포함되어 있습니다.* + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | Gemini 모델에서 생성된 이미지 응답 | IMAGE | +| `STRING` | Gemini 모델에서 생성된 텍스트 응답 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImageNode/ko.md) diff --git a/ko/built-in-nodes/GeminiInputFiles.mdx b/ko/built-in-nodes/GeminiInputFiles.mdx new file mode 100644 index 000000000..5979de65f --- /dev/null +++ b/ko/built-in-nodes/GeminiInputFiles.mdx @@ -0,0 +1,30 @@ +--- +title: "GeminiInputFiles - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiInputFiles node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiInputFiles" +icon: "circle" +mode: wide +--- +# Gemini 입력 파일 + +Gemini API와 함께 사용하기 위해 입력 파일을 로드하고 형식을 지정합니다. 이 노드를 사용하면 사용자가 텍스트(.txt) 및 PDF(.pdf) 파일을 Gemini 모델의 입력 컨텍스트로 포함할 수 있습니다. 파일은 API에 필요한 적절한 형식으로 변환되며, 여러 파일을 연결하여 단일 요청에 포함시킬 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `file` | 모델의 컨텍스트로 포함할 입력 파일입니다. 현재는 텍스트(.txt) 및 PDF(.pdf) 파일만 허용됩니다. 파일은 최대 입력 파일 크기 제한보다 작아야 합니다. | COMBO | 예 | 여러 옵션 사용 가능 | +| `GEMINI_INPUT_FILES` | 이 노드에서 로드된 파일과 함께 일괄 처리할 선택적 추가 파일입니다. 입력 파일을 연결하여 단일 메시지에 여러 입력 파일을 포함할 수 있습니다. | GEMINI_INPUT_FILES | 아니요 | 해당 없음 | + +**참고:** `file` 매개변수는 최대 입력 파일 크기 제한보다 작은 텍스트(.txt) 및 PDF(.pdf) 파일만 표시합니다. 파일은 자동으로 필터링되고 이름순으로 정렬됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `GEMINI_INPUT_FILES` | Gemini LLM 노드에서 사용할 준비가 된 형식화된 파일 데이터로, 로드된 파일 내용을 적절한 API 형식으로 포함합니다. | GEMINI_INPUT_FILES | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiInputFiles/ko.md) + +--- +**Source fingerprint (SHA-256):** `54da8696d144513efa9660fbc5ddbf5480da12eafe4d2791c8e81cd207ef8a52` diff --git a/ko/built-in-nodes/GeminiNanoBanana2.mdx b/ko/built-in-nodes/GeminiNanoBanana2.mdx new file mode 100644 index 000000000..c3f4c7a9b --- /dev/null +++ b/ko/built-in-nodes/GeminiNanoBanana2.mdx @@ -0,0 +1,40 @@ +--- +title: "GeminiNanoBanana2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiNanoBanana2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiNanoBanana2" +icon: "circle" +mode: wide +--- +# GeminiNanoBanana2 + +GeminiNanoBanana2 노드는 Google의 Vertex AI Gemini 모델을 사용하여 이미지를 생성하거나 편집합니다. 이 노드는 텍스트 프롬프트와 선택적 참조 이미지 또는 파일을 API로 전송한 후, 생성된 이미지와 함께 제공되는 텍스트를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 생성할 이미지 또는 적용할 편집 내용을 설명하는 텍스트 프롬프트입니다. 모델이 따라야 할 제약 조건, 스타일 또는 세부 사항을 포함하십시오. | STRING | 예 | 해당 없음 | +| `모델` | 이미지 생성에 사용할 특정 Gemini 모델입니다. | COMBO | 예 | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | +| `시드` | 시드가 특정 값으로 고정되면, 모델은 반복 요청에 대해 동일한 응답을 제공하기 위해 최선을 다합니다. 결정론적 출력은 보장되지 않습니다. 또한 모델이나 온도와 같은 매개변수 설정을 변경하면 동일한 시드 값을 사용하더라도 응답에 변동이 발생할 수 있습니다. 기본적으로 무작위 시드 값이 사용됩니다. (기본값: 42) | INT | 예 | 0 ~ 18446744073709551615 | +| `종횡비` | 'auto'로 설정하면 입력 이미지의 종횡비와 일치하며, 이미지가 제공되지 않은 경우 일반적으로 16:9 정사각형이 생성됩니다. (기본값: "auto") | COMBO | 예 | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"4:5"`
`"5:4"`
`"9:16"`
`"16:9"`
`"21:9"` | +| `해상도` | 대상 출력 해상도입니다. 2K/4K의 경우 기본 Gemini 업스케일러가 사용됩니다. | COMBO | 예 | `"1K"`
`"2K"`
`"4K"` | +| `응답 모달리티` | 모델이 반환할 콘텐츠 유형을 결정합니다. (고급) | COMBO | 예 | `"IMAGE"`
`"IMAGE+TEXT"` | +| `사고 수준` | 모델 추론 과정의 깊이를 제어합니다. | COMBO | 예 | `"MINIMAL"`
`"HIGH"` | +| `이미지` | 선택적 참조 이미지입니다. 여러 이미지를 포함하려면 배치 이미지 노드를 사용하십시오(최대 14개). | IMAGE | 아니요 | 해당 없음 | +| `파일` | 모델의 컨텍스트로 사용할 선택적 파일입니다. Gemini Generate Content Input Files 노드의 입력을 허용합니다. | CUSTOM | 아니요 | 해당 없음 | +| `시스템 프롬프트` | AI의 동작을 지시하는 기본 지침입니다. (고급) | STRING | 아니요 | 해당 없음 | + +**참고:** `images` 입력은 최대 14개의 이미지를 지원합니다. 더 많은 이미지가 제공되면 노드에서 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 모델이 생성하거나 편집한 기본 이미지입니다. | IMAGE | +| `thought_image` | 모델이 반환한 모든 텍스트 콘텐츠입니다. | STRING | +| `thought_image` | 모델의 추론 과정에서 생성된 첫 번째 이미지입니다. thinking_level이 HIGH이고 IMAGE+TEXT 모드인 경우에만 사용할 수 있습니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2/ko.md) + +--- +**Source fingerprint (SHA-256):** `bd53363da73ff0db66a872fc04f1af8ce4dfee1191ca01bd813701b5ad5e4f17` diff --git a/ko/built-in-nodes/GeminiNanoBanana2V2.mdx b/ko/built-in-nodes/GeminiNanoBanana2V2.mdx new file mode 100644 index 000000000..7b63d5621 --- /dev/null +++ b/ko/built-in-nodes/GeminiNanoBanana2V2.mdx @@ -0,0 +1,37 @@ +--- +title: "GeminiNanoBanana2V2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiNanoBanana2V2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiNanoBanana2V2" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 Google의 Vertex AI API에 텍스트 프롬프트를 전송하여 이미지를 생성하거나 편집합니다. 특정 Gemini 모델을 사용하여 사용자의 지시에 따라 새 이미지를 만들거나 기존 이미지를 수정합니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 생성할 이미지 또는 적용할 편집 내용을 설명하는 텍스트 프롬프트입니다. 모델이 따라야 할 제약 조건, 스타일 또는 세부 사항을 포함하십시오. | STRING | 예 | 해당 없음 | +| `모델` | 이미지 생성에 사용할 Gemini 모델을 선택합니다. 현재는 하나의 옵션만 사용 가능합니다. | COMBO | 예 | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | +| `시드` | 시드가 특정 값으로 고정되면 모델은 반복 요청에 대해 동일한 응답을 제공하기 위해 최선을 다합니다. 결정론적 출력은 보장되지 않습니다. 또한 모델이나 온도와 같은 매개변수 설정을 변경하면 동일한 시드 값을 사용하더라도 응답에 차이가 발생할 수 있습니다. 기본적으로 무작위 시드 값이 사용됩니다. (기본값: 42) | INT | 예 | 0 ~ 18446744073709551615 | +| `응답 모달리티` | 응답 형식을 결정합니다. "IMAGE"를 선택하면 이미지만 수신하고, "IMAGE+TEXT"를 선택하면 이미지와 텍스트 설명을 모두 수신합니다. (기본값: "IMAGE") | COMBO | 예 | `"IMAGE"`
`"IMAGE+TEXT"` | +| `시스템 프롬프트` | AI의 동작을 지시하는 기본 지침입니다. 고급 매개변수입니다. | STRING | 아니요 | 해당 없음 | + +**`model` 매개변수 참고 사항:** `model` 매개변수는 해상도, 종횡비 및 사고 수준에 대한 추가 하위 매개변수를 포함하는 동적 콤보입니다. 이러한 하위 매개변수는 모델 선택 내에 정의되어 있으며 이 표에 별도의 입력으로 나열되지 않습니다. + +**이미지 입력 참고 사항:** 모델에 최대 14개의 이미지를 입력으로 제공할 수 있습니다. 이러한 이미지는 `model` 매개변수의 이미지 하위 필드를 통해 전달되며 편집 또는 생성을 위한 시각적 컨텍스트로 사용됩니다. + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 생성되거나 편집된 이미지입니다. | IMAGE | +| `STRING` | 모델이 생성한 텍스트 설명 또는 캡션입니다. | STRING | +| `thought_image` | 모델의 사고 과정에서 나온 첫 번째 이미지입니다. 사고 수준이 HIGH이고 IMAGE+TEXT 모드인 경우에만 사용 가능합니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/ko.md) + +--- +**Source fingerprint (SHA-256):** `6b91afcdd12e08ff0e3afdbb5596bfd63463cda4d2b031019dedf03bd122fa87` diff --git a/ko/built-in-nodes/GeminiNode.mdx b/ko/built-in-nodes/GeminiNode.mdx new file mode 100644 index 000000000..34d906594 --- /dev/null +++ b/ko/built-in-nodes/GeminiNode.mdx @@ -0,0 +1,34 @@ +--- +title: "GeminiNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNode/en.md) + +이 노드는 사용자가 Google의 Gemini AI 모델과 상호작용하여 텍스트 응답을 생성할 수 있도록 합니다. 모델이 더 관련성 높고 의미 있는 응답을 생성할 수 있도록 텍스트, 이미지, 오디오, 비디오 및 파일을 포함한 여러 유형의 입력을 컨텍스트로 제공할 수 있습니다. 이 노드는 모든 API 통신 및 응답 구문 분석을 자동으로 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 모델에 전달되는 텍스트 입력으로, 응답을 생성하는 데 사용됩니다. 모델에 대한 자세한 지침, 질문 또는 컨텍스트를 포함할 수 있습니다. 기본값: 빈 문자열. | STRING | 예 | - | +| `model` | 응답 생성에 사용할 Gemini 모델입니다. 기본값: gemini-3-1-pro. | COMBO | 예 | `gemini-2.5-pro-preview-05-06`
`gemini-2.5-flash-preview-04-17`
`gemini-2.5-pro`
`gemini-2.5-flash`
`gemini-3-pro-preview`
`gemini-3-1-pro`
`gemini-3-1-flash-lite` | +| `seed` | 시드가 특정 값으로 고정되면 모델은 반복 요청에 대해 동일한 응답을 제공하기 위해 최선을 다합니다. 결정론적 출력은 보장되지 않습니다. 또한 모델이나 temperature와 같은 매개변수 설정을 변경하면 동일한 시드 값을 사용하더라도 응답에 차이가 발생할 수 있습니다. 기본적으로 무작위 시드 값이 사용됩니다. 기본값: 42. | INT | 예 | 0 ~ 18446744073709551615 | +| `images` | 모델의 컨텍스트로 사용할 선택적 이미지입니다. 여러 이미지를 포함하려면 이미지 일괄 처리(Batch Images) 노드를 사용할 수 있습니다. 기본값: 없음. | IMAGE | 아니요 | - | +| `오디오` | 모델의 컨텍스트로 사용할 선택적 오디오입니다. 기본값: 없음. | AUDIO | 아니요 | - | +| `비디오` | 모델의 컨텍스트로 사용할 선택적 비디오입니다. 기본값: 없음. | VIDEO | 아니요 | - | +| `파일` | 모델의 컨텍스트로 사용할 선택적 파일입니다. Gemini 콘텐츠 생성 입력 파일(Gemini Generate Content Input Files) 노드의 입력을 허용합니다. 기본값: 없음. | GEMINI_INPUT_FILES | 아니요 | - | +| `시스템 프롬프트` | AI의 동작을 지시하는 기본 지침입니다. 기본값: 빈 문자열. 이는 고급 매개변수입니다. | STRING | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `STRING` | Gemini 모델이 생성한 텍스트 응답입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `6addc7c0bc0c5889ddd6dbcb72b0b608ab738189990c591eb7160f849f6b5374` diff --git a/ko/built-in-nodes/GeminiNodeV2.mdx b/ko/built-in-nodes/GeminiNodeV2.mdx new file mode 100644 index 000000000..7c6a15b3b --- /dev/null +++ b/ko/built-in-nodes/GeminiNodeV2.mdx @@ -0,0 +1,32 @@ +--- +title: "GeminiNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiNodeV2" +icon: "circle" +mode: wide +--- +# Google Gemini + +Google의 Gemini 모델을 사용하여 텍스트 응답을 생성합니다. 텍스트 프롬프트와 선택적으로 하나 이상의 이미지, 오디오 클립, 비디오 또는 파일을 멀티모달 컨텍스트로 제공할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `prompt` | 모델에 전달할 텍스트 입력입니다. 자세한 지침, 질문 또는 컨텍스트를 포함하십시오. | STRING | 예 | | +| `model` | 응답 생성에 사용되는 Gemini 모델입니다. | COMBO | 예 | `"Gemini 3.1 Pro"`
`"Gemini 3.1 Flash-Lite"` | +| `seed` | 샘플링을 위한 시드입니다. 무작위 시드를 사용하려면 0으로 설정하십시오. 결정론적 출력은 보장되지 않습니다. (기본값: 42) | INT | 예 | 0 ~ 2147483647 | +| `system_prompt` | 모델의 동작을 규정하는 기본 지침입니다. (기본값: "") | STRING | 아니요 | | + +**참고:** 이미지, 오디오 또는 비디오를 멀티모달 컨텍스트로 제공할 때, 노드는 처음 10개의 입력에 대해 미디어를 URL로 업로드합니다. 추가 미디어는 base64 데이터로 인라인 전송되며, 최대 인라인 페이로드는 18MB입니다. 인라인 페이로드가 이 제한을 초과하면 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `output` | Gemini 모델에서 생성된 텍스트 응답입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNodeV2/ko.md) + +--- +**Source fingerprint (SHA-256):** `ec9921f218a726082eb8987cf94b3575f61a3c6cf55fb33aeb81d42fad35d302` diff --git a/ko/built-in-nodes/GenerateTracks.mdx b/ko/built-in-nodes/GenerateTracks.mdx new file mode 100644 index 000000000..f9c06ec4b --- /dev/null +++ b/ko/built-in-nodes/GenerateTracks.mdx @@ -0,0 +1,41 @@ +--- +title: "GenerateTracks - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GenerateTracks node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GenerateTracks" +icon: "circle" +mode: wide +--- +`GenerateTracks` 노드는 비디오 생성을 위한 여러 개의 평행 이동 경로를 생성합니다. 시작점에서 끝점까지의 기본 경로를 정의한 후, 이 경로와 평행하게 일정 간격으로 배치된 트랙 세트를 생성합니다. 경로의 모양(직선 또는 베지어 곡선), 이동 속도, 트랙이 표시될 프레임을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `width` | 비디오 프레임의 너비(픽셀 단위)입니다. 기본값은 832입니다. | INT | 예 | 16 - 4096 | +| `height` | 비디오 프레임의 높이(픽셀 단위)입니다. 기본값은 480입니다. | INT | 예 | 16 - 4096 | +| `start_x` | 시작 위치의 정규화된 X 좌표(0-1)입니다. 기본값은 0.0입니다. | FLOAT | 예 | 0.0 - 1.0 | +| `start_y` | 시작 위치의 정규화된 Y 좌표(0-1)입니다. 기본값은 0.0입니다. | FLOAT | 예 | 0.0 - 1.0 | +| `end_x` | 끝 위치의 정규화된 X 좌표(0-1)입니다. 기본값은 1.0입니다. | FLOAT | 예 | 0.0 - 1.0 | +| `end_y` | 끝 위치의 정규화된 Y 좌표(0-1)입니다. 기본값은 1.0입니다. | FLOAT | 예 | 0.0 - 1.0 | +| `num_frames` | 트랙 위치를 생성할 총 프레임 수입니다. 기본값은 81입니다. | INT | 예 | 1 - 1024 | +| `num_tracks` | 생성할 평행 트랙의 개수입니다. 기본값은 5입니다. | INT | 예 | 1 - 100 | +| `track_spread` | 트랙 간의 정규화된 거리입니다. 트랙은 이동 방향에 수직으로 펼쳐집니다. 기본값은 0.025입니다. | FLOAT | 예 | 0.0 - 1.0 | +| `bezier` | 중간점을 제어점으로 사용하여 베지어 곡선 경로를 활성화합니다. 기본값은 False입니다. | BOOLEAN | 예 | True / False | +| `mid_x` | 베지어 곡선의 정규화된 X 제어점입니다. 'bezier'가 활성화된 경우에만 사용됩니다. 기본값은 0.5입니다. | FLOAT | 예 | 0.0 - 1.0 | +| `mid_y` | 베지어 곡선의 정규화된 Y 제어점입니다. 'bezier'가 활성화된 경우에만 사용됩니다. 기본값은 0.5입니다. | FLOAT | 예 | 0.0 - 1.0 | +| `interpolation` | 경로를 따라 이동하는 타이밍/속도를 제어합니다. 기본값은 "linear"입니다. | COMBO | 예 | `"linear"`
`"ease_in"`
`"ease_out"`
`"ease_in_out"`
`"constant"` | +| `track_mask` | 표시할 프레임을 지정하는 선택적 마스크입니다. | MASK | 아니요 | - | + +**참고:** `mid_x` 및 `mid_y` 매개변수는 `bezier` 매개변수가 `True`로 설정된 경우에만 사용됩니다. `bezier`가 `False`인 경우 경로는 시작점에서 끝점까지의 직선입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `track_length` | 모든 프레임에 걸쳐 모든 트랙에 대한 생성된 경로 좌표와 가시성 정보를 포함하는 트랙 객체입니다. | TRACKS | +| `track_length` | 트랙이 생성된 프레임 수로, 입력 `num_frames`와 일치합니다. | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GenerateTracks/ko.md) + +--- +**Source fingerprint (SHA-256):** `3dca1cabaee8738e2a68acafed47ad347019d03c9b7f0d1392b3fdf97d0e8add` diff --git a/ko/built-in-nodes/GetICLoRAParameters.mdx b/ko/built-in-nodes/GetICLoRAParameters.mdx new file mode 100644 index 000000000..a8ffdcb0c --- /dev/null +++ b/ko/built-in-nodes/GetICLoRAParameters.mdx @@ -0,0 +1,27 @@ +--- +title: "GetICLoRAParameters - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GetICLoRAParameters node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GetICLoRAParameters" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 LoRA가 로드된 모델의 메타데이터에서 IC-LoRA 파라미터를 추출합니다. safetensors 메타데이터를 읽어 참조 다운스케일 팩터와 같은 값을 찾아 구조화된 파라미터 객체로 출력하며, 이 객체는 특수 가이드 처리를 위해 LTXVAddGuide 노드에 연결할 수 있습니다. + +## 입력 + +| 파라미터 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `iclora_model` | 메타데이터를 추출할 특정 IC-LoRA용 LoRA 로더의 직접 출력입니다. | MODEL | 예 | 해당 없음 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `iclora_parameters` | LoRA 메타데이터에서 추출된 IC-LoRA 파라미터(예: reference_downscale_factor)입니다. LoRA에 가이드 특수 처리가 필요한 경우 LTXVAddGuide에 연결하십시오. | IC_LORA_PARAMETERS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/ko.md) + +--- +**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50` diff --git a/ko/built-in-nodes/GetImageSize.mdx b/ko/built-in-nodes/GetImageSize.mdx new file mode 100644 index 000000000..48b2ac396 --- /dev/null +++ b/ko/built-in-nodes/GetImageSize.mdx @@ -0,0 +1,27 @@ +--- +title: "GetImageSize - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GetImageSize node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GetImageSize" +icon: "circle" +mode: wide +--- +GetImageSize 노드는 입력 이미지의 크기와 배치 정보를 추출합니다. 이미지의 너비, 높이 및 배치 크기를 반환하며, 이 정보를 노드 인터페이스에 진행 텍스트로 표시합니다. 원본 이미지 데이터는 변경되지 않고 통과됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 크기 정보를 추출할 입력 이미지 | IMAGE | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `height` | 입력 이미지의 너비(픽셀 단위) | INT | +| `batch_size` | 입력 이미지의 높이(픽셀 단위) | INT | +| `batch_size` | 배치 내 이미지 개수 | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetImageSize/ko.md) + +--- +**Source fingerprint (SHA-256):** `5cd19ae762d2403c6c5d0740cd5f8c17913daea737fddcff8f0d9da2210e82ab` diff --git a/ko/built-in-nodes/GetSplatCount.mdx b/ko/built-in-nodes/GetSplatCount.mdx new file mode 100644 index 000000000..3ddf93419 --- /dev/null +++ b/ko/built-in-nodes/GetSplatCount.mdx @@ -0,0 +1,28 @@ +--- +title: "GetSplatCount - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GetSplatCount node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GetSplatCount" +icon: "circle" +mode: wide +--- +# 스플랫 개수 가져오기 + +Get Splat Count 노드는 스플랫 배치에 포함된 총 스플랫(가우시안 포인트)의 개수를 반환하며, 배치 내 모든 항목의 개수를 합산합니다. 이 노드는 원본 스플랫 데이터를 변경하지 않고 그대로 전달하면서, 포함된 개별 스플랫의 수를 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `splat` | 스플랫 개수를 계산할 스플랫 데이터 | SPLAT | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `count` | 변경되지 않고 그대로 전달된 원본 스플랫 데이터 | SPLAT | +| `count` | 배치 내 모든 스플랫의 총 개수를 합산한 값 | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetSplatCount/ko.md) + +--- +**Source fingerprint (SHA-256):** `fbb913b70bbbe4701b91783b6f47969d9132737c464ae590243f9f38061a05dc` diff --git a/ko/built-in-nodes/GetVideoComponents.mdx b/ko/built-in-nodes/GetVideoComponents.mdx new file mode 100644 index 000000000..e6a2d047d --- /dev/null +++ b/ko/built-in-nodes/GetVideoComponents.mdx @@ -0,0 +1,27 @@ +--- +title: "GetVideoComponents - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GetVideoComponents node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GetVideoComponents" +icon: "circle" +mode: wide +--- +Get Video Components 노드는 비디오 파일에서 모든 주요 구성 요소를 추출합니다. 비디오를 개별 프레임으로 분리하고, 오디오 트랙을 추출하며, 비디오의 프레임 속도 정보를 제공합니다. 이를 통해 각 구성 요소를 독립적으로 사용하여 추가 처리 또는 분석을 수행할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `비디오` | 구성 요소를 추출할 비디오입니다. | VIDEO | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `오디오` | 비디오에서 추출된 개별 프레임을 별도의 이미지로 제공합니다. | IMAGE | +| `fps` | 비디오에서 추출된 오디오 트랙입니다. | AUDIO | +| `fps` | 초당 프레임 수로 표시된 비디오의 프레임 속도입니다. | FLOAT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetVideoComponents/ko.md) + +--- +**Source fingerprint (SHA-256):** `7b8419d6614d5be0ec15ccfeb48ee9813c74b28b0b405d62c03496c133c92f53` diff --git a/ko/built-in-nodes/GrokImageEditNode.mdx b/ko/built-in-nodes/GrokImageEditNode.mdx new file mode 100644 index 000000000..911c156ef --- /dev/null +++ b/ko/built-in-nodes/GrokImageEditNode.mdx @@ -0,0 +1,35 @@ +--- +title: "GrokImageEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokImageEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokImageEditNode" +icon: "circle" +mode: wide +--- +Grok Image Edit 노드는 텍스트 프롬프트를 기반으로 기존 이미지를 수정합니다. Grok API를 사용하여 입력 이미지의 변형으로, 사용자의 설명에 따라 하나 이상의 새 이미지를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 이미지 편집에 사용할 특정 AI 모델입니다. | COMBO | 예 | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` | +| `image` | 편집할 입력 이미지입니다. 최대 3개의 입력 이미지를 지원하며, "pro" 모델은 1개만 지원합니다. | IMAGE | 예 | | +| `프롬프트` | 편집된 이미지를 생성하는 데 사용되는 텍스트 프롬프트입니다. 공백을 제거한 후 최소 1자 이상이어야 합니다. | STRING | 예 | | +| `해상도` | 출력 이미지의 해상도입니다. | COMBO | 예 | `"1K"`
`"2K"` | +| `이미지 개수` | 생성할 편집 이미지 수입니다(기본값: 1). | INT | 아니요 | 1 ~ 10 | +| `시드` | 노드 재실행 여부를 결정하는 시드입니다. 시드와 관계없이 실제 결과는 비결정적입니다(기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | +| `종횡비` | 출력 이미지의 종횡비입니다. 여러 이미지가 이미지 입력에 연결된 경우에만 설정할 수 있습니다. "auto"로 설정하면 종횡비가 자동으로 결정됩니다(기본값: "auto"). | COMBO | 아니요 | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` | + +**중요 제약 사항:** +- `image` 입력은 최대 3개의 이미지를 지원하지만, `grok-imagine-image-pro` 모델을 사용할 때는 1개의 입력 이미지만 지원합니다. +- `aspect_ratio` 매개변수는 여러 이미지가 `image` 입력에 연결된 경우에만 사용자 지정 값("auto" 제외)으로 설정할 수 있습니다. 단일 입력 이미지로 사용자 지정 종횡비를 설정하면 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 노드에서 생성된 편집된 이미지입니다. `이미지 개수`가 1보다 크면 출력이 배치로 연결됩니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `021d867e9e04451c0c4ef035c19fa86ebc8d4a3f64572aff33f493324d7fe308` diff --git a/ko/built-in-nodes/GrokImageEditNodeV2.mdx b/ko/built-in-nodes/GrokImageEditNodeV2.mdx new file mode 100644 index 000000000..47a63258a --- /dev/null +++ b/ko/built-in-nodes/GrokImageEditNodeV2.mdx @@ -0,0 +1,39 @@ +--- +title: "GrokImageEditNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokImageEditNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokImageEditNodeV2" +icon: "circle" +mode: wide +--- +# Grok 이미지 편집 노드 V2 + +## 개요 + +텍스트 프롬프트를 기반으로 기존 이미지를 수정합니다. 이 노드는 사용자의 이미지와 텍스트 설명을 Grok API로 전송하며, API는 사용자의 지시에 따라 이미지를 편집하고 결과를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 이미지 생성에 사용되는 텍스트 프롬프트입니다. 공백을 제거한 후 최소 1자 이상이어야 합니다. | STRING | 예 | 해당 없음 | +| `모델` | 사용할 Grok 이미지 모델입니다. 이 매개변수는 모델 선택 후 나타나는 여러 하위 옵션이 있습니다. 사용 가능한 모델: `grok-imagine-image-quality`, `grok-imagine-image-pro`, `grok-imagine-image`. 각 모델은 서로 다른 기능을 제공합니다(아래 참고 사항 확인). | MODEL | 예 | 설명 참조 | +| `시드` | 노드 재실행 여부를 결정하는 시드입니다. 실제 결과는 시드와 관계없이 비결정적입니다. (기본값: 0) | INT | 예 | 0 ~ 2147483647 | + +**`model` 매개변수 제약사항 참고:** +- `model` 매개변수는 `resolution`, `number_of_images`, `images`, `aspect_ratio`에 대한 하위 옵션을 포함하는 동적 콤보 상자입니다. +- **`grok-imagine-image-quality`**: 최대 3개의 입력 이미지를 지원하며 사용자 정의 종횡비를 허용합니다. +- **`grok-imagine-image-pro`**: 1개의 입력 이미지만 지원하며 사용자 정의 종횡비를 허용하지 않습니다. +- **`grok-imagine-image`**: 최대 3개의 입력 이미지를 지원하며 사용자 정의 종횡비를 허용합니다. +- **편집을 위해 최소 하나의 입력 이미지가 필요합니다.** 이미지가 제공되지 않으면 노드에서 오류가 발생합니다. +- **사용자 정의 종횡비**(`aspect_ratio` 하위 옵션)는 이미지 입력에 여러 이미지가 연결된 경우에만 허용됩니다. 하나의 이미지만 제공된 경우 종횡비는 "auto"로 설정해야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | Grok API가 반환한 편집된 이미지입니다. 단일 이미지가 생성된 경우 직접 반환됩니다. 여러 이미지가 생성된 경우 단일 배치 텐서로 연결됩니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNodeV2/ko.md) + +--- +**Source fingerprint (SHA-256):** `b041b40bb5712a67b09dcb0c841f00cbdd9ef77b9e4f3fdc6b2c4038be447ba5` diff --git a/ko/built-in-nodes/GrokImageNode.mdx b/ko/built-in-nodes/GrokImageNode.mdx new file mode 100644 index 000000000..71926fffb --- /dev/null +++ b/ko/built-in-nodes/GrokImageNode.mdx @@ -0,0 +1,36 @@ +--- +title: "GrokImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokImageNode" +icon: "circle" +mode: wide +--- +# Grok 이미지 노드 + +Grok 이미지 노드는 Grok AI 모델을 사용하여 텍스트 설명을 기반으로 하나 이상의 이미지를 생성합니다. 프롬프트를 외부 서비스로 전송하고 생성된 이미지를 워크플로우에서 사용할 수 있는 텐서로 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 이미지 생성에 사용할 특정 Grok 모델입니다. 모델에 따라 품질, 속도 또는 기능이 다를 수 있습니다. | COMBO | 예 | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` | +| `프롬프트` | 이미지 생성에 사용되는 텍스트 프롬프트입니다. 이 설명은 AI가 무엇을 생성할지 안내합니다. 최소 1자 이상이어야 합니다. | STRING | 예 | 해당 없음 | +| `종횡비` | 생성된 이미지의 원하는 가로 세로 비율입니다. | COMBO | 예 | `"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` | +| `이미지 개수` | 생성할 이미지 수입니다(기본값: 1). | INT | 아니요 | 1 ~ 10 | +| `시드` | 노드 재실행 여부를 결정하는 시드 값입니다. 실제 이미지 결과는 비결정적이므로 동일한 시드에서도 결과가 달라집니다(기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | +| `해상도` | 생성된 이미지의 원하는 출력 해상도입니다(기본값: "1K"). | COMBO | 아니요 | `"1K"`
`"2K"` | + +**참고:** `seed` 매개변수는 주로 워크플로우 내에서 노드가 재실행되는 시점을 제어하는 데 사용됩니다. 외부 AI 서비스의 특성상 동일한 시드를 사용하더라도 실행 간에 생성된 이미지가 재현되거나 동일하지 않습니다. + +**가격 참고:** 이미지 생성 비용은 선택한 `model`, `resolution` 및 `number_of_images`에 따라 달라집니다. 예를 들어, "grok-imagine-image-quality" 모델의 "1K" 해상도는 이미지당 $0.05, "2K" 해상도는 이미지당 $0.07입니다. "grok-imagine-image-pro" 모델은 이미지당 $0.07이며, 다른 모델은 이미지당 $0.02입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 이미지 또는 이미지 배치입니다. `이미지 개수`가 1이면 단일 이미지 텐서가 반환됩니다. 1보다 크면 이미지 텐서 배치가 반환됩니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `5c8a76d3636dea8bcc6ade0d8adb6e6d1610b518a31e15fc7fce3f107fe63953` diff --git a/ko/built-in-nodes/GrokVideoEditNode.mdx b/ko/built-in-nodes/GrokVideoEditNode.mdx new file mode 100644 index 000000000..c46e6b3e5 --- /dev/null +++ b/ko/built-in-nodes/GrokVideoEditNode.mdx @@ -0,0 +1,36 @@ +--- +title: "GrokVideoEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokVideoEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokVideoEditNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md) + +이 노드는 Grok API를 사용하여 텍스트 프롬프트를 기반으로 기존 비디오를 편집합니다. 비디오를 업로드하고, AI 모델에 요청을 보내 사용자의 설명에 따라 비디오를 수정한 후, 새로 생성된 비디오를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 편집에 사용할 AI 모델입니다(기본값: `"grok-imagine-video"`). | COMBO | 예 | `"grok-imagine-video"`
`"grok-imagine-video-beta"` | +| `프롬프트` | 원하는 비디오에 대한 텍스트 설명입니다. | STRING | 예 | 해당 없음 | +| `비디오` | 편집할 입력 비디오입니다. 최대 지원 길이는 8.7초, 파일 크기는 50MB입니다. | VIDEO | 예 | 해당 없음 | +| `시드` | 노드를 다시 실행할지 여부를 결정하는 시드 값입니다. 실제 결과는 시드 값과 관계없이 비결정적입니다(기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | + +**제약 사항:** + +* 입력 `video`의 길이는 1초에서 8.7초 사이여야 합니다. +* 입력 `video`의 파일 크기는 50MB를 초과할 수 없습니다. +* `prompt`는 비어 있을 수 없습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오` | AI 모델이 생성한 편집된 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoEditNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `dfe52a089f7bfe7abc7f40ef113c44aef2dded828221d9d1acf0ddb6a167c33f` diff --git a/ko/built-in-nodes/GrokVideoExtendNode.mdx b/ko/built-in-nodes/GrokVideoExtendNode.mdx new file mode 100644 index 000000000..fb110cd95 --- /dev/null +++ b/ko/built-in-nodes/GrokVideoExtendNode.mdx @@ -0,0 +1,35 @@ +--- +title: "GrokVideoExtendNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokVideoExtendNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokVideoExtendNode" +icon: "circle" +mode: wide +--- +# Grok 비디오 확장 노드 + +Grok 비디오 확장 노드는 AI 모델을 사용하여 기존 비디오의 자연스러운 연속 장면을 생성합니다. 짧은 비디오와 다음에 어떤 내용이 전개되어야 하는지 설명하는 텍스트 프롬프트를 제공하면, 노드가 원본 비디오에 이어지는 새로운 비디오 클립을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 비디오에서 다음에 전개되어야 할 내용에 대한 텍스트 설명입니다. | STRING | 예 | 해당 없음 | +| `비디오` | 확장할 원본 비디오입니다. MP4 형식, 2~15초 길이입니다. | VIDEO | 예 | 해당 없음 | +| `모델` | 비디오 확장에 사용할 모델입니다. 선택 시 중첩된 `duration` 매개변수가 표시됩니다. | COMBO | 예 | `"grok-imagine-video"` | +| `시드` | 노드 재실행 여부를 결정하는 시드입니다. 시드와 관계없이 실제 결과는 비결정적입니다(기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | + +**매개변수 제약 조건:** +* `video` 입력은 길이가 2초에서 15초 사이인 MP4 파일이어야 하며, 파일 크기가 50MB를 초과할 수 없습니다. +* `prompt`는 최소 한 글자 이상을 포함해야 합니다(공백은 제거됨). +* `model` 매개변수는 동적 콤보입니다. "grok-imagine-video" 옵션을 선택하면 중첩된 `duration` 매개변수가 표시되며, 이는 확장 길이를 초 단위로 제어합니다(기본값: 8, 범위: 2~10). + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 새로 생성된 비디오 확장 결과물입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoExtendNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `a33383be0eb6857538a75e1b901ee58df0153dfeaf95a7ee19933d651b745b5f` diff --git a/ko/built-in-nodes/GrokVideoNode.mdx b/ko/built-in-nodes/GrokVideoNode.mdx new file mode 100644 index 000000000..1549b2bee --- /dev/null +++ b/ko/built-in-nodes/GrokVideoNode.mdx @@ -0,0 +1,35 @@ +--- +title: "GrokVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokVideoNode" +icon: "circle" +mode: wide +--- +# Grok Video 노드 + +Grok Video 노드는 텍스트 설명으로부터 짧은 비디오를 생성합니다. 프롬프트를 사용하여 처음부터 비디오를 만들거나, 프롬프트를 기반으로 단일 입력 이미지에 애니메이션을 적용할 수 있습니다. 이 노드는 외부 API에 요청을 보내고 생성된 비디오를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 모델입니다. | COMBO | 예 | `"grok-imagine-video"`
`"grok-imagine-video-beta"` | +| `프롬프트` | 원하는 비디오에 대한 텍스트 설명입니다. | STRING | 예 | - | +| `해상도` | 출력 비디오의 해상도입니다. | COMBO | 예 | `"480p"`
`"720p"` | +| `종횡비` | 출력 비디오의 화면 비율입니다(기본값: "auto"). | COMBO | 예 | `"auto"`
`"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | +| `길이` | 출력 비디오의 길이(초)입니다(기본값: 6). | INT | 예 | 1 ~ 15 | +| `시드` | 노드 재실행 여부를 결정하는 시드입니다. 시드와 관계없이 실제 결과는 비결정적입니다(기본값: 0). | INT | 예 | 0 ~ 2147483647 | +| `image` | 애니메이션을 적용할 선택적 입력 이미지입니다. | IMAGE | 아니요 | - | + +**참고:** `image`가 제공되는 경우, 하나의 이미지만 지원됩니다. 여러 이미지를 제공하면 오류가 발생합니다. `prompt`는 공백을 제거한 후 최소 1자 이상이어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `d48049fafbe4dbf50eb5a42495d445fa4c7fc590a1d70267e220ccedc2f5328a` diff --git a/ko/built-in-nodes/GrokVideoReferenceNode.mdx b/ko/built-in-nodes/GrokVideoReferenceNode.mdx new file mode 100644 index 000000000..6a1dabee5 --- /dev/null +++ b/ko/built-in-nodes/GrokVideoReferenceNode.mdx @@ -0,0 +1,35 @@ +--- +title: "GrokVideoReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokVideoReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokVideoReferenceNode" +icon: "circle" +mode: wide +--- +# Grok 참조-투-비디오 노드 + +Grok 참조-투-비디오 노드는 텍스트 프롬프트를 기반으로 비디오를 생성하며, 최대 7개의 참조 이미지를 사용하여 출력물의 스타일과 내용을 안내합니다. 외부 API에 연결하여 비디오를 생성한 후 다운로드하여 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 원하는 비디오에 대한 텍스트 설명입니다. | STRING | 예 | 해당 없음 | +| `모델` | 비디오 생성에 사용할 모델입니다. | COMBO | 예 | `"grok-imagine-video"` | +| `model.reference_images` | 비디오 생성을 안내할 최대 7개의 참조 이미지입니다. | IMAGE | 예 | 1~7개 이미지 | +| `model.resolution` | 출력 비디오의 해상도입니다. | COMBO | 예 | `"480p"`
`"720p"` | +| `model.aspect_ratio` | 출력 비디오의 화면 비율입니다. | COMBO | 예 | `"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | +| `model.duration` | 출력 비디오의 길이(초)입니다(기본값: 6). | INT | 예 | 2~10 | +| `시드` | 노드 재실행 여부를 결정하는 시드입니다. 시드와 관계없이 실제 결과는 비결정적입니다(기본값: 0). | INT | 아니요 | 0~2147483647 | + +**참고:** `model` 매개변수는 `reference_images`, `resolution`, `aspect_ratio`, `duration`을 포함하는 그룹입니다. 최소 1개의 참조 이미지를 제공해야 하며, 최대 7개까지 제공할 수 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `video` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoReferenceNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `e368769b869b7a0d0be8e6fdcc2b82774c11805483b2e83a448b6985a6dd9f96` diff --git a/ko/built-in-nodes/GrowMask.mdx b/ko/built-in-nodes/GrowMask.mdx new file mode 100644 index 000000000..f39d1b29f --- /dev/null +++ b/ko/built-in-nodes/GrowMask.mdx @@ -0,0 +1,24 @@ +--- +title: "GrowMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrowMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrowMask" +icon: "circle" +mode: wide +--- +`GrowMask` 노드는 지정된 마스크의 크기를 확장 또는 축소하고, 선택적으로 모서리에 테이퍼 효과를 적용하도록 설계되었습니다. 이 기능은 이미지 처리 작업에서 마스크 경계를 동적으로 조정하여 관심 영역을 보다 유연하고 정밀하게 제어할 수 있도록 하는 데 중요합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `마스크` | 수정할 입력 마스크입니다. 이 매개변수는 노드 작동의 핵심으로, 마스크를 확장하거나 축소하는 기준이 됩니다. | MASK | +| `확장` | 마스크 수정의 크기와 방향을 결정합니다. 양수 값은 마스크를 확장하고, 음수 값은 축소합니다. 이 매개변수는 마스크의 최종 크기에 직접적인 영향을 미칩니다. | INT | +| `마름모 모서리` | True로 설정하면 수정 중 마스크 모서리에 테이퍼 효과를 적용하는 부울 플래그입니다. 이 옵션을 사용하면 더 부드러운 전환과 시각적으로 만족스러운 결과를 얻을 수 있습니다. | BOOLEAN | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `마스크` | 지정된 확장/축소 및 선택적 테이퍼 모서리 효과를 적용한 후의 수정된 마스크입니다. | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrowMask/ko.md) diff --git a/ko/built-in-nodes/HappyHorseImageToVideoApi.mdx b/ko/built-in-nodes/HappyHorseImageToVideoApi.mdx new file mode 100644 index 000000000..70f4455c5 --- /dev/null +++ b/ko/built-in-nodes/HappyHorseImageToVideoApi.mdx @@ -0,0 +1,33 @@ +--- +title: "HappyHorseImageToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseImageToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseImageToVideoApi" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 HappyHorse 모델을 사용하여 단일 시작 이미지로부터 짧은 비디오를 생성합니다. 첫 번째 프레임 이미지와 원하는 동작 및 장면을 설명하는 텍스트 프롬프트를 제공하면, 노드가 해당 이미지에서 이어지는 비디오를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 HappyHorse 모델입니다. | COMBO | 예 | `"happyhorse-1.0-i2v"` | +| `model.prompt` | 요소와 시각적 특징을 설명하는 프롬프트입니다. 영어와 중국어를 지원합니다. (기본값: "") | STRING | 아니요 | 해당 없음 | +| `model.resolution` | 출력 비디오의 해상도입니다. (기본값: "720P") | COMBO | 예 | `"720P"`
`"1080P"` | +| `model.duration` | 생성된 비디오의 길이(초)입니다. (기본값: 5) | INT | 예 | 3 ~ 15 | +| `first_frame` | 첫 번째 프레임 이미지입니다. 출력 화면 비율은 이 이미지에서 파생됩니다. | IMAGE | 예 | 해당 없음 | +| `seed` | 생성에 사용할 시드 값입니다. (기본값: 0) | INT | 아니요 | 0 ~ 2147483647 | +| `watermark` | 결과물에 AI 생성 워터마크를 추가할지 여부입니다. (기본값: False) | BOOLEAN | 아니요 | True / False | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `video` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `e10ad61abd92df7ad6dd3ac70cc6af35faf0413798f4cff32c81194695bb0bed` diff --git a/ko/built-in-nodes/HappyHorseReferenceVideoApi.mdx b/ko/built-in-nodes/HappyHorseReferenceVideoApi.mdx new file mode 100644 index 000000000..44d916006 --- /dev/null +++ b/ko/built-in-nodes/HappyHorseReferenceVideoApi.mdx @@ -0,0 +1,34 @@ +--- +title: "HappyHorseReferenceVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseReferenceVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseReferenceVideoApi" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 HappyHorse 모델을 사용하여 참조 이미지를 기반으로 사람이나 객체가 등장하는 비디오를 생성합니다. 단일 캐릭터 또는 여러 캐릭터가 상호 작용하는 비디오 제작을 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 HappyHorse 모델입니다. | COMBO | 예 | `"happyhorse-1.0-r2v"` | +| `prompt` | 생성하려는 비디오에 대한 텍스트 설명입니다. 'character1', 'character2'와 같은 식별자를 사용하여 참조 캐릭터를 지칭할 수 있습니다. | STRING | 예 | 해당 없음 | +| `resolution` | 생성되는 비디오의 해상도입니다. | COMBO | 예 | `"720P"`
`"1080P"` | +| `ratio` | 생성되는 비디오의 화면 비율입니다. | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `duration` | 생성되는 비디오의 길이(초)입니다(기본값: 5). | INT | 예 | 3 ~ 15 | +| `reference_images` | 비디오에 등장시킬 사람이나 객체의 참조 이미지 한 장 이상입니다. 최소 한 장의 이미지를 제공해야 합니다. | IMAGE | 예 | 1 ~ 9 | +| `seed` | 재현 가능한 생성을 위한 시드 값입니다(기본값: 0). 시드는 생성 후 자동으로 변경되도록 설정할 수 있습니다. | INT | 아니요 | 0 ~ 2147483647 | +| `watermark` | 결과 비디오에 AI 생성 워터마크를 추가할지 여부입니다(기본값: False). | BOOLEAN | 아니요 | True 또는 False | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `VIDEO` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `9162e150aef4cbafa42d59055bdff953e9c21b1e5fbf7c800629e570ee4cd0f9` diff --git a/ko/built-in-nodes/HappyHorseTextToVideoApi.mdx b/ko/built-in-nodes/HappyHorseTextToVideoApi.mdx new file mode 100644 index 000000000..0299129d1 --- /dev/null +++ b/ko/built-in-nodes/HappyHorseTextToVideoApi.mdx @@ -0,0 +1,29 @@ +--- +title: "HappyHorseTextToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseTextToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseTextToVideoApi" +icon: "circle" +mode: wide +--- +## 개요 + +HappyHorse 모델을 사용하여 텍스트 프롬프트를 기반으로 비디오를 생성합니다. 이 노드는 프롬프트와 설정을 HappyHorse API로 전송하고, 비디오가 생성될 때까지 대기한 후 결과를 다운로드합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 모델 선택 및 관련 매개변수를 포함하는 딕셔너리입니다. 모델은 `"happyhorse-1.0-t2v"`여야 합니다. 이 딕셔너리에는 다음 하위 매개변수가 포함됩니다:

**`prompt`** (STRING): 생성하려는 비디오의 텍스트 설명입니다. 영어와 중국어를 지원합니다. (기본값: "").
**`resolution`** (COMBO): 출력 비디오의 해상도입니다. 옵션: `"720P"`, `"1080P"`.
**`ratio`** (COMBO): 출력 비디오의 화면 비율입니다. 옵션: `"16:9"`, `"9:16"`, `"1:1"`, `"4:3"`, `"3:4"`.
**`duration`** (INT): 비디오 길이(초)입니다. (기본값: 5, 최소: 3, 최대: 15, 단계: 1). | DICT | 예 | 설명 참조 | +| `seed` | 생성에 사용할 시드입니다. 동일한 입력으로 동일한 시드를 사용하면 동일한 결과가 생성됩니다. (기본값: 0). | INT | 예 | 0 ~ 2147483647 | +| `watermark` | 결과에 AI 생성 워터마크를 추가할지 여부입니다. (기본값: False). | BOOLEAN | 아니요 | True / False | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `VIDEO` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `8c6a7c0c2b10bbc65ca54abc991e1f12e8846b31701ed65b49c5d71f1b2a63ec` diff --git a/ko/built-in-nodes/HappyHorseVideoEditApi.mdx b/ko/built-in-nodes/HappyHorseVideoEditApi.mdx new file mode 100644 index 000000000..7c2ed76f6 --- /dev/null +++ b/ko/built-in-nodes/HappyHorseVideoEditApi.mdx @@ -0,0 +1,42 @@ +--- +title: "HappyHorseVideoEditApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseVideoEditApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseVideoEditApi" +icon: "circle" +mode: wide +--- +# 개요 + +HappyHorse 모델을 사용하여 텍스트 명령어나 참조 이미지를 통해 비디오를 편집합니다. 출력 길이는 3~15초이며 입력 비디오와 일치하고, 15초를 초과하는 입력은 잘립니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 모델 선택, 프롬프트, 해상도, 화면 비율 및 선택적 참조 이미지를 포함하는 모델 구성입니다. | DICT | 예 | 아래 참조 | +| `video` | 편집할 비디오입니다. | VIDEO | 예 | - | +| `seed` | 생성에 사용할 시드입니다(기본값: 0). | INT | 예 | 0 ~ 2147483647 | +| `watermark` | 결과물에 AI 생성 워터마크를 추가할지 여부입니다(기본값: False). | BOOLEAN | 아니요 | True / False | + +## `model` 매개변수 상세 + +`model` 매개변수는 다음 필드를 포함하는 딕셔너리입니다: + +| 필드 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 사용할 HappyHorse 비디오 편집 모델입니다. | STRING | 예 | `"happyhorse-1.0-video-edit"` | +| `prompt` | 편집 지침 또는 스타일 전환 요구사항입니다. 최소 1자 이상이어야 합니다. | STRING | 예 | - | +| `resolution` | 출력 해상도입니다. | STRING | 예 | `"720P"`
`"1080P"` | +| `ratio` | 화면 비율입니다. 변경하지 않으면 입력 비디오 비율에 근사합니다. | STRING | 예 | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `reference_images` | 편집을 안내하는 선택적 참조 이미지(image1, image2, image3, image4, image5)입니다. | DICT | 아니요 | 0 ~ 5개 이미지 | + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `video` | 편집된 비디오 출력입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `af6747efbea1c65e4909d35dad009cbc2ffaad787d0f2031581c227deb9bf53c` diff --git a/ko/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx b/ko/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx new file mode 100644 index 000000000..d14b4275c --- /dev/null +++ b/ko/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx @@ -0,0 +1,37 @@ +--- +title: "HiDreamO1PatchSeamSmoothing - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HiDreamO1PatchSeamSmoothing node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HiDreamO1PatchSeamSmoothing" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 샘플링 프로세스 후반부에 여러 개의 이동된 패치 그리드 위치에서 모델 출력을 평균화하여 HiDream-O1 모델이 생성한 이미지의 눈에 띄는 이음새를 줄입니다. 약간 다른 이미지 정렬로 모델을 여러 번 실행하고 결과를 혼합하여 패치 경계에서 나타날 수 있는 그리드 형태의 아티팩트를 상쇄하는 방식으로 작동합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 이음새 평활화를 적용할 HiDream-O1 모델입니다. | MODEL | 예 | - | +| `start_percent` | 평활화 효과가 켜지는 샘플링 진행률입니다(0=시작, 1=종료, 기본값: 0.8). | FLOAT | 예 | 0.0 ~ 1.0 (단계: 0.01) | +| `end_percent` | 평활화 효과가 꺼지는 샘플링 진행률입니다(기본값: 1.0). | FLOAT | 예 | 0.0 ~ 1.0 (단계: 0.01) | +| `pattern` | 이동된 그리드 위치의 레이아웃입니다. `single_shift`: 자연 패치 그리드에서 한 번 통과하고 나머지는 오프셋됩니다. `symmetric`: 모든 패스가 그리드 외부에 있으며, 원점을 중심으로 이동이 분할됩니다(기본값: `"single_shift"`). | COMBO | 예 | `"single_shift"`
`"symmetric"` | +| `passes` | 게이트 단계당 패스(모델 실행) 수입니다. `2` 또는 `4`는 고정 개수입니다. `ramp_2_4` 및 `ramp_2_4_8`은 샘플링이 종료에 가까워질수록 패스 수를 증가시켜 이음새가 가장 눈에 띄는 부분에서 더 많은 평활화를 제공합니다(기본값: `"2"`). | COMBO | 예 | `"2"`
`"4"`
`"ramp_2_4"`
`"ramp_2_4_8" | +| `blend` | 각 패스의 결과를 결합하는 방법입니다. `average`: 모든 패스의 동일 가중 평균입니다. `window`: Hann 윈도우를 사용하여 각 패스의 중앙에 더 많은 가중치를 부여하여 경계 아티팩트를 줄입니다. `median`: 픽셀별 중앙값을 취하여 랩어라운드로 인한 이상치 패스를 제거할 수 있습니다(기본값: `"average"`). | COMBO | 예 | `"average"`
`"window"`
`"median"` | +| `strength` | 원본 모델 출력(0.0)과 완전히 평활화된 결과(1.0) 사이의 보간을 제어합니다(기본값: 1.0). | FLOAT | 예 | 0.0 ~ 1.0 (단계: 0.01) | + +**매개변수 제약 조건 참고:** +- `strength`가 0.0 이하이거나 `end_percent`가 `start_percent`보다 작거나 같으면 평활화 효과가 적용되지 않습니다. +- `passes` 매개변수의 램프 옵션(`ramp_2_4`, `ramp_2_4_8`)은 `start_percent`와 `end_percent`가 범위를 정의할 때만 의미가 있습니다. 샘플링이 해당 범위를 진행함에 따라 패스 수가 증가하기 때문입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 이음새 평활화 래퍼가 적용된 수정된 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ko.md) + +--- +**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c` diff --git a/ko/built-in-nodes/HiDreamO1ReferenceImages.mdx b/ko/built-in-nodes/HiDreamO1ReferenceImages.mdx new file mode 100644 index 000000000..45aa747ed --- /dev/null +++ b/ko/built-in-nodes/HiDreamO1ReferenceImages.mdx @@ -0,0 +1,32 @@ +--- +title: "HiDreamO1ReferenceImages - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HiDreamO1ReferenceImages node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HiDreamO1ReferenceImages" +icon: "circle" +mode: wide +--- +## 개요 + +긍정 및 부정 컨디셔닝에 참조 이미지를 첨부합니다. 이 노드를 사용하면 하나 이상의 참조 이미지를 제공하여 이미지 생성 과정을 안내할 수 있으며, 명령어 기반 편집 또는 주제 기반 개인화에 사용됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `positive` | 참조 이미지를 첨부할 긍정 컨디셔닝입니다. | CONDITIONING | 예 | - | +| `negative` | 참조 이미지를 첨부할 부정 컨디셔닝입니다. | CONDITIONING | 예 | - | +| `images` | 참조 이미지입니다. 이미지 1개는 명령어 기반 편집을 활성화하고, 2~10개 이미지는 다중 참조 주제 기반 개인화를 활성화합니다. | IMAGE | 예 | 1~10개 이미지 | + +**`images` 매개변수 참고:** 이는 1~10개의 이미지를 허용하는 자동 확장 입력입니다. 이미지는 `image_1`부터 `image_10`까지 레이블이 지정됩니다. 최소 1개의 이미지를 제공해야 합니다. 이미지 수에 따라 작동 모드가 결정됩니다. 단일 이미지는 편집 명령어에 사용되고, 여러 이미지(2~10개)는 주제 기반 개인화에 사용됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `negative` | 참조 이미지가 첨부된 긍정 컨디셔닝입니다. | CONDITIONING | +| `negative` | 참조 이미지가 첨부된 부정 컨디셔닝입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ko.md) + +--- +**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303` diff --git a/ko/built-in-nodes/HitPawGeneralImageEnhance.mdx b/ko/built-in-nodes/HitPawGeneralImageEnhance.mdx new file mode 100644 index 000000000..b670c1e2d --- /dev/null +++ b/ko/built-in-nodes/HitPawGeneralImageEnhance.mdx @@ -0,0 +1,32 @@ +--- +title: "HitPawGeneralImageEnhance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HitPawGeneralImageEnhance node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HitPawGeneralImageEnhance" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md) + +이 노드는 저해상도 이미지를 업스케일링하여 초고해상도로 향상시키고, 아티팩트와 노이즈를 제거합니다. 외부 API를 사용하여 이미지를 처리하며, 처리 제한을 초과하지 않도록 입력 크기를 자동으로 조정할 수 있습니다. 최대 허용 출력 크기는 4메가픽셀입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 사용할 향상 모델입니다. `generative_portrait` 모델은 인물 사진에 최적화되어 있으며, `generative`는 범용 모델입니다. | STRING | 예 | `"generative_portrait"`
`"generative"` | +| `이미지` | 향상할 입력 이미지입니다. | IMAGE | 예 | - | +| `업스케일 배수` | 이미지 크기를 업스케일링할 배수입니다. 1배는 업스케일링 없음, 2배는 크기를 두 배, 4배는 네 배로 확대합니다. | INT | 예 | `1`
`2`
`4` | +| `자동 다운스케일` | 출력이 제한을 초과할 경우 입력 이미지를 자동으로 다운스케일링합니다. 활성화하면 노드가 요청된 업스케일링 배수를 적용하기 전에 입력 이미지 크기를 4메가픽셀 출력 제한에 맞게 줄이려고 시도합니다. (기본값: `False`) | BOOLEAN | 아니요 | - | + +**참고:** 계산된 출력 크기(입력 높이 × 업스케일링 배수 × 입력 너비 × 업스케일링 배수)가 4,000,000픽셀(4MP)을 초과하고 `auto_downscale`이 비활성화된 경우, 노드에서 오류가 발생합니다. `auto_downscale`이 활성화되면 노드는 요청된 업스케일링 배수를 적용하기 전에 입력 이미지를 제한에 맞게 다운스케일링하려고 시도합니다. 2배 이상의 다운스케일링이 필요한 경우, 노드는 대신 업스케일링 배수를 줄입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 향상 및 업스케일링된 출력 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/ko.md) + +--- +**Source fingerprint (SHA-256):** `29f927d39777acdfba2aad107027672d281c202ec78e04942e405c2cc64fcee4` diff --git a/ko/built-in-nodes/HitPawVideoEnhance.mdx b/ko/built-in-nodes/HitPawVideoEnhance.mdx new file mode 100644 index 000000000..7e3cf9251 --- /dev/null +++ b/ko/built-in-nodes/HitPawVideoEnhance.mdx @@ -0,0 +1,34 @@ +--- +title: "HitPawVideoEnhance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HitPawVideoEnhance node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HitPawVideoEnhance" +icon: "circle" +mode: wide +--- +# HitPaw Video Enhance 노드 + +HitPaw Video Enhance 노드는 외부 API를 사용하여 비디오 품질을 향상시킵니다. 저해상도 비디오를 더 높은 해상도로 업스케일하고, 시각적 아티팩트를 제거하며, 노이즈를 줄입니다. 처리 비용은 입력 비디오의 초 단위로 계산됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 비디오 향상에 사용할 AI 모델입니다. 모델을 선택하면 중첩된 `resolution` 매개변수가 표시됩니다. 사용 가능한 모델과 지원되는 해상도는 다양합니다. | DYNAMIC COMBO | 예 | 여러 옵션 사용 가능 | +| `model.resolution` | 향상된 비디오의 대상 해상도입니다. 선택한 `모델`에 따라 일부 옵션을 사용하지 못할 수 있습니다. | COMBO | 예 | `"original"`
`"720p"`
`"1080p"`
`"2k/qhd"`
`"4k/uhd"`
`"8k"` | +| `비디오` | 향상시킬 입력 비디오 파일입니다. | VIDEO | 예 | 해당 없음 | + +**제약 사항:** + +* 입력 `video`의 길이는 0.5초 이상 60분(3600초) 이하여야 합니다. +* 선택한 `resolution`은 입력 비디오의 크기보다 커야 합니다. 비디오가 정사각형인 경우 선택한 해상도는 너비/높이보다 커야 합니다. 정사각형이 아닌 비디오의 경우 선택한 해상도는 비디오의 더 짧은 쪽보다 커야 합니다. 대상 해상도가 더 작으면 오류가 발생합니다. 입력 비디오의 해상도를 유지하려면 `"original"`을 선택하십시오. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오` | 향상된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawVideoEnhance/ko.md) + +--- +**Source fingerprint (SHA-256):** `0f329cbf61784474ee5b97a92d28a3e2383dc40e208f8a8317f3c4f60b43e5b2` diff --git a/ko/built-in-nodes/Hunyuan3Dv2Conditioning.mdx b/ko/built-in-nodes/Hunyuan3Dv2Conditioning.mdx new file mode 100644 index 000000000..d76a96e1c --- /dev/null +++ b/ko/built-in-nodes/Hunyuan3Dv2Conditioning.mdx @@ -0,0 +1,26 @@ +--- +title: "Hunyuan3Dv2Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Hunyuan3Dv2Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Hunyuan3Dv2Conditioning" +icon: "circle" +mode: wide +--- +Hunyuan3Dv2Conditioning 노드는 CLIP 비전 출력을 처리하여 3D 모델을 위한 컨디셔닝 데이터를 생성합니다. 비전 출력에서 마지막 은닉 상태 임베딩을 추출하여 양성 및 음성 컨디셔닝 쌍을 만듭니다. 양성 컨디셔닝은 실제 임베딩을 사용하는 반면, 음성 컨디셔닝은 동일한 형태의 0값 임베딩을 사용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `clip_vision_output` | 시각적 임베딩을 포함하는 CLIP 비전 모델의 출력 | CLIP_VISION_OUTPUT | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `negative` | CLIP 비전 임베딩을 포함하는 양성 컨디셔닝 데이터 | CONDITIONING | +| `negative` | 양성 임베딩 형태와 일치하는 0값 임베딩을 포함하는 음성 컨디셔닝 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/ko.md) + +--- +**Source fingerprint (SHA-256):** `3a32967d62a0645b0c375b17ab96e20805c2e0005e585dddf5a3a77d35994fec` diff --git a/ko/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx b/ko/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx new file mode 100644 index 000000000..55eeba9c8 --- /dev/null +++ b/ko/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx @@ -0,0 +1,31 @@ +--- +title: "Hunyuan3Dv2ConditioningMultiView - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Hunyuan3Dv2ConditioningMultiView node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Hunyuan3Dv2ConditioningMultiView" +icon: "circle" +mode: wide +--- +Hunyuan3Dv2ConditioningMultiView 노드는 3D 비디오 생성을 위한 다중 뷰 CLIP 비전 임베딩을 처리합니다. 선택적으로 전면, 좌측, 후면 및 우측 뷰 임베딩을 입력받아 위치 인코딩과 결합하여 비디오 모델을 위한 컨디셔닝 데이터를 생성합니다. 이 노드는 결합된 임베딩으로부터의 포지티브 컨디셔닝과 0 값으로 구성된 네거티브 컨디셔닝을 모두 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `앞` | 전면 뷰에 대한 CLIP 비전 출력 | CLIP_VISION_OUTPUT | 아니요 | - | +| `왼쪽` | 좌측 뷰에 대한 CLIP 비전 출력 | CLIP_VISION_OUTPUT | 아니요 | - | +| `뒤` | 후면 뷰에 대한 CLIP 비전 출력 | CLIP_VISION_OUTPUT | 아니요 | - | +| `오른쪽` | 우측 뷰에 대한 CLIP 비전 출력 | CLIP_VISION_OUTPUT | 아니요 | - | + +**참고:** 노드가 작동하려면 최소 하나의 뷰 입력이 제공되어야 합니다. 노드는 유효한 CLIP 비전 출력 데이터를 포함하는 뷰만 처리합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `negative` | 위치 인코딩이 적용된 결합 다중 뷰 임베딩을 포함하는 포지티브 컨디셔닝 | CONDITIONING | +| `negative` | 대조 학습을 위한 0 값의 네거티브 컨디셔닝 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/ko.md) + +--- +**Source fingerprint (SHA-256):** `01998ae9ba7d2ae9a2f6a0b5aee4c03168f935fb9769317cd80d93a7a4b96f13` diff --git a/ko/built-in-nodes/HunyuanImageToVideo.mdx b/ko/built-in-nodes/HunyuanImageToVideo.mdx new file mode 100644 index 000000000..7e2aa1817 --- /dev/null +++ b/ko/built-in-nodes/HunyuanImageToVideo.mdx @@ -0,0 +1,41 @@ +--- +title: "HunyuanImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HunyuanImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HunyuanImageToVideo" +icon: "circle" +mode: wide +--- +# HunyuanImageToVideo 노드 + +HunyuanImageToVideo 노드는 Hunyuan 비디오 모델을 사용하여 이미지를 비디오 잠재 표현으로 변환합니다. 조건 입력과 선택적 시작 이미지를 받아 비디오 생성 모델에서 추가 처리할 수 있는 비디오 잠재를 생성합니다. 이 노드는 시작 이미지가 비디오 생성 과정에 영향을 미치는 방식을 제어하기 위한 다양한 안내 유형을 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | 비디오 생성을 안내하는 긍정 조건 입력 | CONDITIONING | 예 | - | +| `vae` | 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - | +| `너비` | 출력 비디오의 너비(픽셀 단위, 기본값: 848, 증가 단위: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오의 높이(픽셀 단위, 기본값: 480, 증가 단위: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 출력 비디오의 프레임 수(기본값: 53, 증가 단위: 4) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 동시에 생성할 비디오 수(기본값: 1) | INT | 예 | 1 ~ 4096 | +| `가이던스 유형` | 시작 이미지를 비디오 생성에 통합하는 방법(기본값: "v1 (concat)") | COMBO | 예 | "v1 (concat)"
"v2 (replace)"
"custom" | +| `시작 이미지` | 비디오 생성을 초기화하는 선택적 시작 이미지 | IMAGE | 아니요 | - | + +**참고:** `start_image`가 제공되면 노드는 선택한 `guidance_type`에 따라 다양한 안내 방법을 사용합니다: + +- "v1 (concat)": 이미지 잠재를 비디오 잠재와 연결하고 마스크를 적용하여 이미지를 비디오에 혼합합니다 +- "v2 (replace)": 초기 비디오 프레임을 이미지 잠재로 대체하고 노이즈 마스크를 적용합니다 +- "custom": 이미지를 안내를 위한 참조 잠재로 사용합니다 + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 비디오` | start_image가 제공될 때 이미지 안내가 적용된 수정된 긍정 조건 | CONDITIONING | +| `latent` | 비디오 생성 모델에서 추가 처리를 위해 준비된 비디오 잠재 표현 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanImageToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `e55e935b7955b28b04014359c544a230c51ee91e21170be1ae4f50705d3e7bba` diff --git a/ko/built-in-nodes/HunyuanRefinerLatent.mdx b/ko/built-in-nodes/HunyuanRefinerLatent.mdx new file mode 100644 index 000000000..56c3725e5 --- /dev/null +++ b/ko/built-in-nodes/HunyuanRefinerLatent.mdx @@ -0,0 +1,30 @@ +--- +title: "HunyuanRefinerLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HunyuanRefinerLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HunyuanRefinerLatent" +icon: "circle" +mode: wide +--- +HunyuanRefinerLatent 노드는 리파인먼트 작업을 위해 컨디셔닝 및 잠재 입력을 처리합니다. 양성 및 음성 컨디셔닝에 노이즈 증강을 적용하면서 잠재 이미지 데이터를 통합하고, 추가 처리를 위해 특정 차원의 새로운 잠재 출력을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정적` | 처리할 양성 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `부정적` | 처리할 음성 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `잠재` | 잠재 표현 입력 | LATENT | 예 | - | +| `노이즈 증강` | 적용할 노이즈 증강량 (기본값: 0.10) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정적` | 노이즈 증강 및 잠재 이미지 연결이 적용된 처리된 양성 컨디셔닝 | CONDITIONING | +| `잠재` | 노이즈 증강 및 잠재 이미지 연결이 적용된 처리된 음성 컨디셔닝 | CONDITIONING | +| `잠재` | [배치_크기, 32, 높이, 너비, 채널] 차원의 새로운 잠재 출력 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanRefinerLatent/ko.md) + +--- +**Source fingerprint (SHA-256):** `f097b58f1948e5c0801f81b51a5189619695a6afa189368aff4c64b126fc5ce5` diff --git a/ko/built-in-nodes/HunyuanVideo15ImageToVideo.mdx b/ko/built-in-nodes/HunyuanVideo15ImageToVideo.mdx new file mode 100644 index 000000000..4ee62ae1a --- /dev/null +++ b/ko/built-in-nodes/HunyuanVideo15ImageToVideo.mdx @@ -0,0 +1,39 @@ +--- +title: "HunyuanVideo15ImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HunyuanVideo15ImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HunyuanVideo15ImageToVideo" +icon: "circle" +mode: wide +--- +# HunyuanVideo15ImageToVideo + +HunyuanVideo15ImageToVideo 노드는 HunyuanVideo 1.5 모델을 기반으로 비디오 생성을 위한 컨디셔닝 및 잠재 공간 데이터를 준비합니다. 비디오 시퀀스의 초기 잠재 표현을 생성하며, 선택적으로 시작 이미지나 CLIP 비전 출력을 통합하여 생성 과정을 안내할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `positive` | 비디오에 포함되어야 할 내용을 설명하는 긍정 컨디셔닝 프롬프트입니다. | CONDITIONING | 예 | - | +| `negative` | 비디오에서 제외되어야 할 내용을 설명하는 부정 컨디셔닝 프롬프트입니다. | CONDITIONING | 예 | - | +| `vae` | 시작 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE(변분 오토인코더) 모델입니다. | VAE | 예 | - | +| `width` | 출력 비디오 프레임의 가로 너비(픽셀 단위)입니다. 16으로 나누어 떨어져야 합니다. (기본값: 848) | INT | 아니요 | 16 ~ MAX_RESOLUTION | +| `height` | 출력 비디오 프레임의 세로 높이(픽셀 단위)입니다. 16으로 나누어 떨어져야 합니다. (기본값: 480) | INT | 아니요 | 16 ~ MAX_RESOLUTION | +| `length` | 비디오 시퀀스의 총 프레임 수입니다. 4의 배수여야 합니다. (기본값: 33) | INT | 아니요 | 1 ~ MAX_RESOLUTION | +| `batch_size` | 단일 배치에서 생성할 비디오 시퀀스의 개수입니다. (기본값: 1) | INT | 아니요 | 1 ~ 4096 | +| `start_image` | 비디오 생성을 초기화하는 선택적 시작 이미지입니다. 제공되면 인코딩되어 첫 번째 프레임의 컨디셔닝에 사용됩니다. 이미지의 첫 `length` 프레임만 사용됩니다. | IMAGE | 아니요 | - | +| `clip_vision_output` | 생성 과정에 추가적인 시각적 컨디셔닝을 제공하는 선택적 CLIP 비전 임베딩입니다. | CLIP_VISION_OUTPUT | 아니요 | - | + +**참고:** `start_image`가 제공되면 이중 선형 보간법을 사용하여 지정된 `width` 및 `height`에 맞게 자동으로 크기가 조정됩니다. 이미지 배치의 첫 `length` 프레임이 사용됩니다. 그런 다음 인코딩된 이미지는 해당 `concat_mask`와 함께 `concat_latent_image`로 `positive` 및 `negative` 컨디셔닝에 모두 추가됩니다. 마스크는 시작 이미지가 포함된 프레임에 대해 0.0으로 설정되고 나머지 프레임에 대해 1.0으로 설정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `negative` | 수정된 긍정 컨디셔닝으로, 이제 인코딩된 시작 이미지 또는 CLIP 비전 출력이 포함될 수 있습니다. | CONDITIONING | +| `latent` | 수정된 부정 컨디셔닝으로, 이제 인코딩된 시작 이미지 또는 CLIP 비전 출력이 포함될 수 있습니다. | CONDITIONING | +| `latent` | 지정된 배치 크기, 비디오 길이, 너비 및 높이에 맞게 차원이 구성된 빈 잠재 텐서입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15ImageToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `2f41bbb080672683fb1755be575f08c79ca03e324df66953eb40631581197d47` diff --git a/ko/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx b/ko/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx new file mode 100644 index 000000000..a96818953 --- /dev/null +++ b/ko/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx @@ -0,0 +1,34 @@ +--- +title: "HunyuanVideo15LatentUpscaleWithModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HunyuanVideo15LatentUpscaleWithModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HunyuanVideo15LatentUpscaleWithModel" +icon: "circle" +mode: wide +--- +# Hunyuan Video 15 Latent Upscale With Model 노드 + +Hunyuan Video 15 Latent Upscale With Model 노드는 잠재 이미지 표현의 해상도를 높입니다. 먼저 선택한 보간 방법을 사용하여 잠재 샘플을 지정된 크기로 업스케일한 후, 전문화된 Hunyuan Video 1.5 업스케일 모델을 사용하여 업스케일된 결과를 정제하여 품질을 개선합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 업스케일된 샘플을 정제하는 데 사용되는 Hunyuan Video 1.5 잠재 업스케일 모델입니다. | LATENT_UPSCALE_MODEL | 예 | 해당 없음 | +| `samples` | 업스케일할 잠재 이미지 표현입니다. | LATENT | 예 | 해당 없음 | +| `upscale_method` | 초기 업스케일 단계에 사용되는 보간 알고리즘입니다(기본값: `"bilinear"`). | COMBO | 아니요 | `"nearest-exact"`
`"bilinear"`
`"area"`
`"bicubic"`
`"bislerp"` | +| `width` | 업스케일된 잠재의 목표 너비(픽셀 단위)입니다. 0으로 설정하면 목표 높이와 원본 종횡비를 기준으로 너비가 자동 계산됩니다. 최종 출력 너비는 16의 배수입니다(기본값: 1280). | INT | 아니요 | 0 ~ 16384 | +| `height` | 업스케일된 잠재의 목표 높이(픽셀 단위)입니다. 0으로 설정하면 목표 너비와 원본 종횡비를 기준으로 높이가 자동 계산됩니다. 최종 출력 높이는 16의 배수입니다(기본값: 720). | INT | 아니요 | 0 ~ 16384 | +| `crop` | 업스케일된 잠재를 목표 크기에 맞게 자르는 방식을 결정합니다. | COMBO | 아니요 | `"disabled"`
`"center"` | + +**크기 참고 사항:** `width`와 `height`가 모두 0으로 설정되면 노드는 입력 `samples`를 변경하지 않고 반환합니다. 하나의 크기만 0으로 설정된 경우, 원본 종횡비를 유지하도록 다른 크기가 계산됩니다. 최종 크기는 항상 최소 64픽셀로 조정되며 16으로 나누어 떨어집니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `LATENT` | 업스케일되고 모델로 정제된 잠재 이미지 표현입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/ko.md) + +--- +**Source fingerprint (SHA-256):** `1de9e157c1a0433f1b3d5ff4d428a1aa392fd65da5e314e6e818ce66495d5ef4` diff --git a/ko/built-in-nodes/HunyuanVideo15SuperResolution.mdx b/ko/built-in-nodes/HunyuanVideo15SuperResolution.mdx new file mode 100644 index 000000000..df202327b --- /dev/null +++ b/ko/built-in-nodes/HunyuanVideo15SuperResolution.mdx @@ -0,0 +1,35 @@ +--- +title: "HunyuanVideo15SuperResolution - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HunyuanVideo15SuperResolution node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HunyuanVideo15SuperResolution" +icon: "circle" +mode: wide +--- +HunyuanVideo15SuperResolution 노드는 비디오 초고해상도 프로세스를 위한 컨디셔닝 데이터를 준비합니다. 비디오의 잠재 표현과 선택적으로 시작 이미지를 입력받아 노이즈 증강 및 CLIP 비전 데이터와 함께 패키징하여 모델이 더 높은 해상도의 출력을 생성하는 데 사용할 수 있는 형식으로 변환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `positive` | 잠재 및 증강 데이터로 수정할 긍정 컨디셔닝 입력입니다. | CONDITIONING | 예 | 해당 없음 | +| `negative` | 잠재 및 증강 데이터로 수정할 부정 컨디셔닝 입력입니다. | CONDITIONING | 예 | 해당 없음 | +| `vae` | 선택적 `시작 이미지`를 인코딩하는 데 사용되는 VAE입니다. `시작 이미지`가 제공된 경우 필수입니다. | VAE | 아니요 | 해당 없음 | +| `시작 이미지` | 초고해상도를 안내하는 선택적 시작 이미지입니다. 제공된 경우 업스케일되어 컨디셔닝 잠재로 인코딩됩니다. | IMAGE | 아니요 | 해당 없음 | +| `clip_vision_output` | 컨디셔닝에 추가할 선택적 CLIP 비전 임베딩입니다. | CLIP_VISION_OUTPUT | 아니요 | 해당 없음 | +| `latent` | 컨디셔닝에 통합될 입력 잠재 비디오 표현입니다. | LATENT | 예 | 해당 없음 | +| `노이즈 증강` | 컨디셔닝에 적용할 노이즈 증강의 강도입니다(기본값: 0.70). | FLOAT | 아니요 | 0.0 - 1.0 | + +**참고:** `start_image`를 제공하는 경우 인코딩을 위해 `vae`도 함께 연결해야 합니다. `start_image`는 입력 `latent`가 암시하는 차원에 맞게 자동으로 업스케일됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `negative` | 연결된 잠재, 노이즈 증강 및 선택적 CLIP 비전 데이터를 포함하도록 수정된 긍정 컨디셔닝입니다. | CONDITIONING | +| `latent` | 연결된 잠재, 노이즈 증강 및 선택적 CLIP 비전 데이터를 포함하도록 수정된 부정 컨디셔닝입니다. | CONDITIONING | +| `latent` | 입력 잠재가 변경 없이 그대로 전달됩니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15SuperResolution/ko.md) + +--- +**Source fingerprint (SHA-256):** `f913327a81d034997fa8a485ca4b3691f75ba1d3c5c6e2e73ab107021b58a52a` diff --git a/ko/built-in-nodes/HyperTile.mdx b/ko/built-in-nodes/HyperTile.mdx new file mode 100644 index 000000000..e959474e2 --- /dev/null +++ b/ko/built-in-nodes/HyperTile.mdx @@ -0,0 +1,29 @@ +--- +title: "HyperTile - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HyperTile node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HyperTile" +icon: "circle" +mode: wide +--- +HyperTile 노드는 확산 모델의 어텐션 메커니즘에 타일링 기법을 적용하여 이미지 생성 시 메모리 사용량을 최적화합니다. 잠재 공간을 더 작은 타일로 나누어 개별적으로 처리한 후 결과를 다시 조합합니다. 이를 통해 메모리 부족 없이 더 큰 이미지 크기로 작업할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | HyperTile 최적화를 적용할 확산 모델입니다 | MODEL | 예 | - | +| `타일 크기` | 처리를 위한 대상 타일 크기입니다(기본값: 256). 실제 타일 크기는 8의 배수로 내림 처리되며, 최소값은 32입니다. | INT | 아니요 | 1 - 2048 | +| `스왑 크기` | 처리 중 타일을 재배열하여 효율성을 개선하는 방식을 제어합니다(기본값: 2) | INT | 아니요 | 1 - 128 | +| `최대 깊이` | 타일링을 적용할 최대 깊이 수준(해상도 스케일)입니다. 값이 0이면 가장 높은 해상도에서만 타일링이 적용됩니다(기본값: 0) | INT | 아니요 | 0 - 10 | +| `스케일 깊이` | 활성화하면 더 깊은 깊이 수준에서 타일 크기가 비례적으로 조정됩니다. 낮은 해상도에서 품질 유지에 도움이 될 수 있습니다(기본값: False) | BOOLEAN | 아니요 | True / False | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | HyperTile 최적화가 적용된 수정된 모델입니다 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HyperTile/ko.md) + +--- +**Source fingerprint (SHA-256):** `d3c55e6a38abecc8fe612dbb91a3ba26de9bc5cf8a187f01cf4746550f62f40a` diff --git a/ko/built-in-nodes/HypernetworkLoader.mdx b/ko/built-in-nodes/HypernetworkLoader.mdx new file mode 100644 index 000000000..8a4e27bfb --- /dev/null +++ b/ko/built-in-nodes/HypernetworkLoader.mdx @@ -0,0 +1,26 @@ +--- +title: "HypernetworkLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HypernetworkLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HypernetworkLoader" +icon: "circle" +mode: wide +--- +이 노드는 `ComfyUI/models/hypernetworks` 폴더에 있는 모델을 감지하며, extra_model_paths.yaml 파일에 설정된 추가 경로의 모델도 함께 읽어옵니다. 때로는 **ComfyUI 인터페이스를 새로고침**하여 해당 폴더의 모델 파일을 읽도록 해야 할 수도 있습니다. + +HypernetworkLoader 노드는 하이퍼네트워크를 적용하여 주어진 모델의 기능을 향상시키거나 수정하도록 설계되었습니다. 지정된 하이퍼네트워크를 로드하여 모델에 적용하며, 강도 매개변수에 따라 모델의 동작이나 성능을 변경할 수 있습니다. 이 과정을 통해 모델의 아키텍처나 매개변수를 동적으로 조정하여 보다 유연하고 적응력 있는 AI 시스템을 구현할 수 있습니다. + +## 입력 + +| 필드 | 설명 | Comfy 자료형 | +| --- | --- | --- | +| `모델` | 하이퍼네트워크가 적용될 기본 모델로, 향상 또는 수정될 아키텍처를 결정합니다. | `MODEL` | +| `하이퍼네트워크 이름` | 모델에 로드 및 적용할 하이퍼네트워크의 이름으로, 모델의 수정된 동작이나 성능에 영향을 줍니다. | `COMBO[STRING]` | +| `강도` | 하이퍼네트워크가 모델에 미치는 영향의 강도를 조절하는 스칼라 값으로, 변경 사항을 미세 조정할 수 있습니다. | `FLOAT` | + +## 출력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `모델` | 하이퍼네트워크가 적용된 후의 수정된 모델로, 원본 모델에 대한 하이퍼네트워크의 영향을 보여줍니다. | `MODEL` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HypernetworkLoader/ko.md) diff --git a/ko/built-in-nodes/Ideogram4Scheduler.mdx b/ko/built-in-nodes/Ideogram4Scheduler.mdx new file mode 100644 index 000000000..ac5e2e4c1 --- /dev/null +++ b/ko/built-in-nodes/Ideogram4Scheduler.mdx @@ -0,0 +1,31 @@ +--- +title: "Ideogram4Scheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Ideogram4Scheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Ideogram4Scheduler" +icon: "circle" +mode: wide +--- +# Ideogram 4 스케줄러 + +Ideogram 4 스케줄러 노드는 Ideogram 4 참조 스케줄을 기반으로 확산 샘플링 과정에 사용되는 시그마 값(노이즈 수준)의 시퀀스를 생성합니다. 이미지 크기에 맞춰 조정되는 사용자 정의 노이즈 스케줄을 생성하며, 통계적 매개변수를 통해 미세 조정이 가능합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `steps` | 스케줄을 생성할 샘플링 단계 수입니다 (기본값: 20) | INT | 예 | 1 ~ 200 | +| `width` | 이미지의 픽셀 단위 너비입니다 (기본값: 1024) | INT | 예 | 256 ~ 8192 (단위: 16) | +| `height` | 이미지의 픽셀 단위 높이입니다 (기본값: 1024) | INT | 예 | 256 ~ 8192 (단위: 16) | +| `mu` | 로짓-정규 분포의 평균 매개변수로, 중앙 노이즈 수준을 제어합니다 (기본값: 0.0) | FLOAT | 예 | -10.0 ~ 10.0 (단위: 0.05) | +| `std` | 로짓-정규 분포의 표준 편차 매개변수로, 노이즈 수준의 분포를 제어합니다 (기본값: 1.75) | FLOAT | 예 | 0.1 ~ 5.0 (단위: 0.05) | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `SIGMAS` | 노이즈 스케줄을 나타내는 시그마 값 텐서로, 길이는 `steps + 1`입니다. 값은 높은 노이즈에서 낮은 노이즈 순으로 내림차순이며, 완전한 노이즈 제거를 위해 마지막 값은 0.0으로 설정됩니다. | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Ideogram4Scheduler/ko.md) + +--- +**Source fingerprint (SHA-256):** `408ea680158500690e28e300098a5c4fd13eb1a2c96c3d95db06244151116f22` diff --git a/ko/built-in-nodes/IdeogramV1.mdx b/ko/built-in-nodes/IdeogramV1.mdx new file mode 100644 index 000000000..b28f20017 --- /dev/null +++ b/ko/built-in-nodes/IdeogramV1.mdx @@ -0,0 +1,33 @@ +--- +title: "IdeogramV1 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the IdeogramV1 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "IdeogramV1" +icon: "circle" +mode: wide +--- +IdeogramV1 노드는 API를 통해 Ideogram V1 모델을 사용하여 이미지를 생성합니다. 텍스트 프롬프트와 다양한 생성 설정을 입력받아 하나 이상의 이미지를 생성합니다. 이 노드는 다양한 종횡비와 생성 모드를 지원하여 출력 결과를 사용자 지정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 이미지 생성을 위한 프롬프트 (기본값: 비어 있음) | STRING | 예 | - | +| `터보` | 터보 모드 사용 여부 (더 빠른 생성, 잠재적으로 낮은 품질) (기본값: False) | BOOLEAN | 예 | - | +| `종횡비` | 이미지 생성 종횡비 (기본값: "1:1") | COMBO | 아니요 | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | +| `매직 프롬프트 옵션` | 생성 시 MagicPrompt 사용 여부 결정 (기본값: "AUTO") | COMBO | 아니요 | "AUTO"
"ON"
"OFF" | +| `시드` | 생성을 위한 난수 시드 값 (기본값: 0) | INT | 아니요 | 0-2147483647 | +| `부정 프롬프트` | 이미지에서 제외할 내용 설명 (기본값: 비어 있음) | STRING | 아니요 | - | +| `이미지 수` | 생성할 이미지 수 (기본값: 1) | INT | 아니요 | 1-8 | + +**참고:** `num_images` 매개변수는 생성 요청당 최대 8개 이미지로 제한됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | Ideogram V1 모델에서 생성된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV1/ko.md) + +--- +**Source fingerprint (SHA-256):** `7e453cd54b5db48588ed899b0754e0d06fdcfbaed248d13fb74b7049f0f25b8f` diff --git a/ko/built-in-nodes/IdeogramV2.mdx b/ko/built-in-nodes/IdeogramV2.mdx new file mode 100644 index 000000000..8e5c89426 --- /dev/null +++ b/ko/built-in-nodes/IdeogramV2.mdx @@ -0,0 +1,37 @@ +--- +title: "IdeogramV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the IdeogramV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "IdeogramV2" +icon: "circle" +mode: wide +--- +# Ideogram V2 노드 + +Ideogram V2 노드는 Ideogram V2 AI 모델을 사용하여 이미지를 생성합니다. 텍스트 프롬프트와 다양한 생성 설정을 입력받아 API 서비스를 통해 이미지를 생성합니다. 이 노드는 다양한 종횡비, 해상도 및 스타일 옵션을 지원하여 출력 이미지를 사용자 지정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 이미지 생성을 위한 프롬프트 (기본값: 빈 문자열) | STRING | 예 | - | +| `터보` | 터보 모드 사용 여부 (더 빠른 생성, 잠재적으로 낮은 품질) (기본값: False) | BOOLEAN | 아니요 | - | +| `종횡비` | 이미지 생성을 위한 종횡비입니다. 해상도가 AUTO로 설정되지 않은 경우 무시됩니다. (기본값: "1:1") | COMBO | 아니요 | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | +| `해상도` | 이미지 생성을 위한 해상도입니다. AUTO로 설정되지 않은 경우 aspect_ratio 설정을 재정의합니다. (기본값: "Auto") | COMBO | 아니요 | "Auto"
"1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | +| `매직 프롬프트 옵션` | 생성 시 MagicPrompt 사용 여부를 결정합니다 (기본값: "AUTO") | COMBO | 아니요 | "AUTO"
"ON"
"OFF" | +| `시드` | 생성을 위한 무작위 시드 (기본값: 0) | INT | 아니요 | 0-2147483647 | +| `스타일 타입` | 생성을 위한 스타일 유형입니다 (V2 전용) (기본값: "NONE") | COMBO | 아니요 | "AUTO"
"GENERAL"
"REALISTIC"
"DESIGN"
"RENDER_3D"
"ANIME" | +| `부정 프롬프트` | 이미지에서 제외할 내용에 대한 설명 (기본값: 빈 문자열) | STRING | 아니요 | - | +| `이미지 수` | 생성할 이미지 수 (기본값: 1) | INT | 아니요 | 1-8 | + +**참고:** `resolution`이 "Auto"로 설정되지 않은 경우 `aspect_ratio` 설정을 재정의합니다. `num_images` 매개변수는 생성당 최대 8개 이미지로 제한됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | Ideogram V2 모델에서 생성된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV2/ko.md) + +--- +**Source fingerprint (SHA-256):** `c0ba21cb62ad75212c960e2bf6730a39c6479c7389a58c50968c66cc8964f5e3` diff --git a/ko/built-in-nodes/IdeogramV3.mdx b/ko/built-in-nodes/IdeogramV3.mdx new file mode 100644 index 000000000..349ef4007 --- /dev/null +++ b/ko/built-in-nodes/IdeogramV3.mdx @@ -0,0 +1,46 @@ +--- +title: "IdeogramV3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the IdeogramV3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "IdeogramV3" +icon: "circle" +mode: wide +--- +# Ideogram V3 + +Ideogram V3 노드는 Ideogram V3 모델을 사용하여 이미지를 생성합니다. 텍스트 프롬프트로 일반 이미지 생성과 이미지와 마스크가 모두 제공될 때의 이미지 편집을 모두 지원합니다. 이 노드는 화면 비율, 해상도, 생성 속도 및 선택적 캐릭터 참조 이미지에 대한 다양한 제어 기능을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 이미지 생성 또는 편집을 위한 프롬프트 (기본값: 비어 있음) | STRING | 예 | - | +| `이미지` | 이미지 편집을 위한 선택적 참조 이미지 | IMAGE | 아니요 | - | +| `마스크` | 인페인팅을 위한 선택적 마스크 (흰색 영역이 대체됩니다) | MASK | 아니요 | - | +| `종횡비` | 이미지 생성의 화면 비율입니다. 해상도가 자동으로 설정되지 않은 경우 무시됩니다 (기본값: "1:1") | COMBO | 아니요 | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | +| `해상도` | 이미지 생성의 해상도입니다. 자동으로 설정되지 않은 경우 화면 비율 설정을 재정의합니다 (기본값: "Auto") | COMBO | 아니요 | "Auto"
"1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | +| `매직 프롬프트 옵션` | 생성 시 MagicPrompt 사용 여부를 결정합니다 (기본값: "AUTO") | COMBO | 아니요 | "AUTO"
"ON"
"OFF" | +| `시드` | 생성을 위한 무작위 시드 (기본값: 0) | INT | 아니요 | 0-2147483647 | +| `이미지 수` | 생성할 이미지 수 (기본값: 1) | INT | 아니요 | 1-8 | +| `렌더링 속도` | 생성 속도와 품질 간의 균형을 제어합니다 (기본값: "DEFAULT") | COMBO | 아니요 | "DEFAULT"
"TURBO"
"QUALITY" | +| `캐릭터 이미지` | 캐릭터 참조로 사용할 이미지 | IMAGE | 아니요 | - | +| `캐릭터 마스크` | 캐릭터 참조 이미지를 위한 선택적 마스크 | MASK | 아니요 | - | + +**매개변수 제약 조건:** + +- `image`와 `mask`가 모두 제공되면 노드가 편집 모드로 전환됩니다 +- `image` 또는 `mask` 중 하나만 제공되면 오류가 발생합니다 +- `character_mask`를 사용하려면 `character_image`가 있어야 합니다 +- `resolution`이 "Auto"로 설정되지 않은 경우 `aspect_ratio` 매개변수는 무시됩니다 +- 마스크의 흰색 영역은 인페인팅 중에 대체됩니다 +- 캐릭터 마스크와 캐릭터 이미지는 동일한 크기여야 합니다 + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성되거나 편집된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV3/ko.md) + +--- +**Source fingerprint (SHA-256):** `0d0058cc8483c453100d8d9dfcb9a31ae5e686f38ced77ed7e472cd083c3464b` diff --git a/ko/built-in-nodes/IdeogramV4.mdx b/ko/built-in-nodes/IdeogramV4.mdx new file mode 100644 index 000000000..644288d46 --- /dev/null +++ b/ko/built-in-nodes/IdeogramV4.mdx @@ -0,0 +1,30 @@ +--- +title: "IdeogramV4 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the IdeogramV4 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "IdeogramV4" +icon: "circle" +mode: wide +--- +# Ideogram V4 + +텍스트 프롬프트를 사용하여 Ideogram 4.0 모델로 이미지를 생성합니다. 이 노드는 텍스트 설명을 Ideogram API로 전송하고 생성된 이미지를 출력 텐서로 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `프롬프트` | 이미지 생성을 위한 텍스트 프롬프트입니다. | STRING | 예 | 제한 없음 | +| `해상도` | 생성된 이미지의 해상도입니다. 기본값: "Auto"로 설정하면 모델이 최적의 해상도를 선택합니다. | COMBO | 예 | `"Auto"`
`"2048x2048 (1:1)"`
`"1440x2880 (1:2)"`
`"2880x1440 (2:1)"`
`"1664x2496 (2:3)"`
`"2496x1664 (3:2)"`
`"1792x2240 (4:5)"`
`"2240x1792 (5:4)"`
`"1440x2560 (9:16)"`
`"2560x1440 (16:9)"`
`"1600x2560 (5:8)"`
`"2560x1600 (8:5)"`
`"1728x2304 (3:4)"`
`"2304x1728 (4:3)"`
`"1296x3168 (9:22)"`
`"3168x1296 (22:9)"`
`"1152x2944 (9:23)"`
`"2944x1152 (23:9)"`
`"1248x3328 (3:8)"`
`"3328x1248 (8:3)"`
`"1280x3072 (5:12)"`
`"3072x1280 (12:5)"` | +| `렌더링 속도` | 생성 속도와 품질 간의 균형을 제어합니다. 기본값: "DEFAULT". | COMBO | 예 | `"DEFAULT"`
`"TURBO"`
`"QUALITY"` | +| `seed` | 재현 가능한 생성을 위한 시드 값입니다. 기본값: 0. | INT | 예 | 최소: 0
최대: 2147483647 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `IMAGE` | 텐서 형태의 생성된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV4/ko.md) + +--- +**Source fingerprint (SHA-256):** `47a486824211d34b9109c5038b0b094d192c4e243c0a6c4ceab13af3bdabe6e4` diff --git a/ko/built-in-nodes/ImageAddNoise.mdx b/ko/built-in-nodes/ImageAddNoise.mdx new file mode 100644 index 000000000..f204c422c --- /dev/null +++ b/ko/built-in-nodes/ImageAddNoise.mdx @@ -0,0 +1,27 @@ +--- +title: "ImageAddNoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageAddNoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageAddNoise" +icon: "circle" +mode: wide +--- +ImageAddNoise 노드는 입력 이미지에 무작위 노이즈를 추가합니다. 지정된 난수 시드를 사용하여 일관된 노이즈 패턴을 생성하고, 노이즈 효과의 강도를 제어할 수 있습니다. 결과 이미지는 입력 이미지와 동일한 크기를 유지하지만 시각적 텍스처가 추가됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 노이즈를 추가할 입력 이미지 | IMAGE | 예 | - | +| `시드` | 노이즈 생성에 사용되는 난수 시드 (기본값: 0) | INT | 예 | 0 ~ 18446744073709551615 | +| `강도` | 노이즈 효과의 강도를 제어합니다 (기본값: 0.5) | FLOAT | 예 | 0.0 ~ 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 노이즈가 적용된 출력 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageAddNoise/ko.md) + +--- +**Source fingerprint (SHA-256):** `8abfc64500e5ff8fe7589763a07c15d771e9a5a6a61bae9ec4d819be9bf71810` diff --git a/ko/built-in-nodes/ImageBatch.mdx b/ko/built-in-nodes/ImageBatch.mdx new file mode 100644 index 000000000..5ab45f8d2 --- /dev/null +++ b/ko/built-in-nodes/ImageBatch.mdx @@ -0,0 +1,23 @@ +--- +title: "ImageBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageBatch" +icon: "circle" +mode: wide +--- +`ImageBatch` 노드는 두 개의 이미지를 하나의 배치로 결합하도록 설계되었습니다. 이미지의 크기가 일치하지 않는 경우, 결합하기 전에 두 번째 이미지를 첫 번째 이미지의 크기에 맞게 자동으로 크기를 조정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지1` | 배치에 결합할 첫 번째 이미지입니다. 필요한 경우 두 번째 이미지가 조정될 크기의 기준이 됩니다. | `IMAGE` | +| `이미지2` | 배치에 결합할 두 번째 이미지입니다. 첫 번째 이미지와 크기가 다를 경우 자동으로 크기가 조정됩니다. | `IMAGE` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 결합된 이미지 배치입니다. 필요한 경우 두 번째 이미지가 첫 번째 이미지의 크기에 맞게 조정됩니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBatch/ko.md) diff --git a/ko/built-in-nodes/ImageBlend.mdx b/ko/built-in-nodes/ImageBlend.mdx new file mode 100644 index 000000000..21775438b --- /dev/null +++ b/ko/built-in-nodes/ImageBlend.mdx @@ -0,0 +1,25 @@ +--- +title: "ImageBlend - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageBlend node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageBlend" +icon: "circle" +mode: wide +--- +`ImageBlend` 노드는 지정된 블렌드 모드와 블렌드 비율에 따라 두 이미지를 혼합하도록 설계되었습니다. 일반, 곱하기, 스크린, 오버레이, 부드러운 빛, 차이 등 다양한 블렌드 모드를 지원하여 다용도 이미지 조작 및 합성 기술을 가능하게 합니다. 이 노드는 두 이미지 레이어 간의 시각적 상호 작용을 조정하여 합성 이미지를 만드는 데 필수적입니다. + +## 입력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지1` | 혼합할 첫 번째 이미지입니다. 블렌드 작업의 기본 레이어 역할을 합니다. | `IMAGE` | +| `이미지2` | 혼합할 두 번째 이미지입니다. 블렌드 모드에 따라 첫 번째 이미지의 모양을 수정합니다. | `IMAGE` | +| `혼합 계수` | 블렌드에서 두 번째 이미지의 가중치를 결정합니다. 블렌드 비율이 높을수록 결과 혼합에서 두 번째 이미지가 더 두드러집니다. | `FLOAT` | +| `혼합 모드` | 두 이미지를 혼합하는 방법을 지정합니다. 일반, 곱하기, 스크린, 오버레이, 부드러운 빛, 차이와 같은 모드를 지원하며, 각각 고유한 시각적 효과를 생성합니다. | COMBO[STRING] | + +## 출력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `image` | 지정된 블렌드 모드와 비율에 따라 두 입력 이미지를 혼합한 결과 이미지입니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBlend/ko.md) diff --git a/ko/built-in-nodes/ImageBlur.mdx b/ko/built-in-nodes/ImageBlur.mdx new file mode 100644 index 000000000..22d700544 --- /dev/null +++ b/ko/built-in-nodes/ImageBlur.mdx @@ -0,0 +1,24 @@ +--- +title: "ImageBlur - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageBlur node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageBlur" +icon: "circle" +mode: wide +--- +`ImageBlur` 노드는 이미지에 가우시안 블러를 적용하여 가장자리를 부드럽게 하고 세부 묘사와 노이즈를 줄입니다. 매개변수를 통해 블러의 강도와 확산 범위를 제어할 수 있습니다. + +## 입력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지` | 블러를 적용할 입력 이미지입니다. 블러 효과의 주요 대상입니다. | `IMAGE` | +| `블러 반경` | 블러 효과의 반경을 결정합니다. 값이 클수록 블러가 더 강하게 적용됩니다. | `INT` | +| `시그마` | 블러의 확산 범위를 제어합니다. 시그마 값이 높을수록 각 픽셀 주변의 더 넓은 영역에 블러가 적용됩니다. | `FLOAT` | + +## 출력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지` | 입력 이미지에 블러가 적용된 결과물입니다. 블러의 정도는 입력 매개변수에 따라 결정됩니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBlur/ko.md) diff --git a/ko/built-in-nodes/ImageColorToMask.mdx b/ko/built-in-nodes/ImageColorToMask.mdx new file mode 100644 index 000000000..891815dfd --- /dev/null +++ b/ko/built-in-nodes/ImageColorToMask.mdx @@ -0,0 +1,23 @@ +--- +title: "ImageColorToMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageColorToMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageColorToMask" +icon: "circle" +mode: wide +--- +`ImageColorToMask` 노드는 이미지에서 지정된 색상을 마스크로 변환하도록 설계되었습니다. 이미지와 대상 색상을 처리하여 지정된 색상이 강조된 마스크를 생성하며, 색상 기반 분할이나 객체 분리와 같은 작업을 용이하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 'image' 매개변수는 처리할 입력 이미지를 나타냅니다. 마스크로 변환할 지정된 색상과 일치하는 이미지 영역을 결정하는 데 중요합니다. | `IMAGE` | +| `색상` | 'color' 매개변수는 마스크로 변환할 이미지의 대상 색상을 지정합니다. 결과 마스크에서 강조할 특정 색상 영역을 식별하는 핵심적인 역할을 합니다. | `INT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `mask` | 출력은 입력 이미지에서 지정된 색상과 일치하는 영역을 강조하는 마스크입니다. 이 마스크는 분할이나 객체 분리와 같은 추가 이미지 처리 작업에 사용할 수 있습니다. | `MASK` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageColorToMask/ko.md) diff --git a/ko/built-in-nodes/ImageCompare.mdx b/ko/built-in-nodes/ImageCompare.mdx new file mode 100644 index 000000000..83fbc2761 --- /dev/null +++ b/ko/built-in-nodes/ImageCompare.mdx @@ -0,0 +1,29 @@ +--- +title: "ImageCompare - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageCompare node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageCompare" +icon: "circle" +mode: wide +--- +# 이미지 비교(Image Compare) + +이미지 비교 노드는 드래그 가능한 슬라이더를 사용하여 두 이미지를 나란히 비교할 수 있는 시각적 인터페이스를 제공합니다. 출력 노드로 설계되어 다른 노드에 데이터를 전달하지 않고, 대신 사용자 인터페이스에 이미지를 직접 표시하여 검사할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image_a` | 비교할 첫 번째 이미지입니다. | IMAGE | 아니요 | - | +| `image_b` | 비교할 두 번째 이미지입니다. | IMAGE | 아니요 | - | +| `compare_view` | UI에서 슬라이더 비교 보기를 활성화하는 컨트롤입니다. | IMAGECOMPARE | 예 | - | + +**참고:** 이 노드는 출력 노드입니다. `image_a`와 `image_b`는 선택 사항이지만, 노드가 시각적 효과를 나타내려면 최소한 하나의 이미지가 제공되어야 합니다. 연결되지 않은 이미지 입력에 대해서는 빈 영역이 표시됩니다. + +## 출력 + +이 노드는 출력 노드이므로 다른 노드에서 사용할 수 있는 데이터 출력을 생성하지 않습니다. 제공된 이미지를 ComfyUI 인터페이스에 표시하는 기능을 수행합니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompare/ko.md) + +--- +**Source fingerprint (SHA-256):** `2bc980cd20aad3cf60300868599bbce8eaba1cdb21880d2b3f4cd628108d8139` diff --git a/ko/built-in-nodes/ImageCompositeMasked.mdx b/ko/built-in-nodes/ImageCompositeMasked.mdx new file mode 100644 index 000000000..d9f5485f7 --- /dev/null +++ b/ko/built-in-nodes/ImageCompositeMasked.mdx @@ -0,0 +1,27 @@ +--- +title: "ImageCompositeMasked - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageCompositeMasked node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageCompositeMasked" +icon: "circle" +mode: wide +--- +`ImageCompositeMasked` 노드는 이미지를 합성하기 위해 설계된 노드로, 소스 이미지를 대상 이미지 위에 지정된 좌표에 겹쳐 놓을 수 있으며, 선택적으로 크기 조정 및 마스킹 기능을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `대상` | 소스 이미지가 합성될 대상 이미지입니다. 합성 작업의 배경 역할을 합니다. | `IMAGE` | +| `원본` | 대상 이미지 위에 합성될 소스 이미지입니다. 이 이미지는 선택적으로 대상 이미지의 크기에 맞게 조정될 수 있습니다. | `IMAGE` | +| `x` | 대상 이미지에서 소스 이미지의 왼쪽 상단 모서리가 배치될 x 좌표입니다. | `INT` | +| `y` | 대상 이미지에서 소스 이미지의 왼쪽 상단 모서리가 배치될 y 좌표입니다. | `INT` | +| `원본 크기 조정` | 소스 이미지를 대상 이미지의 크기에 맞게 조정할지 여부를 나타내는 부울 플래그입니다. | `BOOLEAN` | +| `마스크` | 소스 이미지 중 대상 이미지에 합성될 부분을 지정하는 선택적 마스크입니다. 이를 통해 혼합 또는 부분 오버레이와 같은 더 복잡한 합성 작업이 가능합니다. | `MASK` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 합성 작업 후 생성된 결과 이미지로, 두 이미지의 요소를 결합합니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompositeMasked/ko.md) diff --git a/ko/built-in-nodes/ImageCrop.mdx b/ko/built-in-nodes/ImageCrop.mdx new file mode 100644 index 000000000..ff0b275b8 --- /dev/null +++ b/ko/built-in-nodes/ImageCrop.mdx @@ -0,0 +1,26 @@ +--- +title: "ImageCrop - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageCrop node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageCrop" +icon: "circle" +mode: wide +--- +`ImageCrop` 노드는 지정된 x, y 좌표에서 시작하여 설정된 너비와 높이로 이미지를 자르기 위해 설계되었습니다. 이 기능은 이미지의 특정 영역에 초점을 맞추거나 특정 요구 사항에 맞게 이미지 크기를 조정하는 데 필수적입니다. + +## 입력 + +| 필드 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 자를 입력 이미지입니다. 이 매개변수는 지정된 치수와 좌표를 기반으로 영역이 추출될 원본 이미지를 정의하므로 매우 중요합니다. | `IMAGE` | +| `너비` | 잘린 이미지의 너비를 지정합니다. 이 매개변수는 결과로 생성되는 잘린 이미지의 가로 크기를 결정합니다. | `INT` | +| `높이` | 잘린 이미지의 높이를 지정합니다. 이 매개변수는 결과로 생성되는 잘린 이미지의 세로 크기를 결정합니다. | `INT` | +| `x` | 자르기 영역의 왼쪽 상단 모서리의 x 좌표입니다. 이 매개변수는 자르기의 너비 차원에 대한 시작점을 설정합니다. | `INT` | +| `y` | 자르기 영역의 왼쪽 상단 모서리의 y 좌표입니다. 이 매개변수는 자르기의 높이 차원에 대한 시작점을 설정합니다. | `INT` | + +## 출력 + +| 필드 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 자르기 작업의 결과로 생성된 잘린 이미지입니다. 이 출력은 지정된 이미지 영역에 대한 추가 처리 또는 분석에 중요합니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCrop/ko.md) diff --git a/ko/built-in-nodes/ImageCropV2.mdx b/ko/built-in-nodes/ImageCropV2.mdx new file mode 100644 index 000000000..3435a158c --- /dev/null +++ b/ko/built-in-nodes/ImageCropV2.mdx @@ -0,0 +1,30 @@ +--- +title: "ImageCropV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageCropV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageCropV2" +icon: "circle" +mode: wide +--- +# 이미지 자르기(Image Crop) + +이미지 자르기 노드는 입력 이미지에서 직사각형 영역을 추출합니다. 유지할 영역의 왼쪽 상단 모서리 좌표와 너비 및 높이를 지정하여 정의할 수 있습니다. 그런 다음 노드는 원본 이미지에서 잘라낸 부분을 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 자르기를 수행할 입력 이미지입니다. | IMAGE | 예 | 해당 없음 | +| `자르기 영역` | 이미지에서 추출할 직사각형 영역을 정의합니다. `x`(가로 시작점), `y`(세로 시작점), `width`(너비), `height`(높이)로 지정됩니다. 정의된 영역이 이미지 경계를 벗어나는 경우, 이미지 크기에 맞게 자동으로 조정됩니다. | BOUNDINGBOX | 예 | 해당 없음 | + +**영역 제한에 관한 참고 사항:** 자르기 영역은 입력 이미지의 경계 내에 머물도록 자동으로 제한됩니다. 지정된 `x` 또는 `y` 좌표가 이미지의 너비나 높이보다 큰 경우, 유효한 최대 위치로 설정됩니다. 결과 자르기 너비와 높이는 영역이 이미지 가장자리를 초과하지 않도록 조정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 원본 입력 이미지에서 잘라낸 부분입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/ko.md) + +--- +**Source fingerprint (SHA-256):** `9d3543aa8396ae2ab0353accc3c89ae6be6495f6fdcefbb5439fa865a5d3059f` diff --git a/ko/built-in-nodes/ImageDeduplication.mdx b/ko/built-in-nodes/ImageDeduplication.mdx new file mode 100644 index 000000000..c7e1d412d --- /dev/null +++ b/ko/built-in-nodes/ImageDeduplication.mdx @@ -0,0 +1,28 @@ +--- +title: "ImageDeduplication - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageDeduplication node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageDeduplication" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageDeduplication/en.md) + +이 노드는 배치에서 중복되거나 매우 유사한 이미지를 제거합니다. 각 이미지에 대해 시각적 콘텐츠를 기반으로 한 간단한 숫자 지문인 지각적 해시를 생성한 후 이를 비교하는 방식으로 작동합니다. 설정된 임계값보다 해시 유사도가 높은 이미지는 중복으로 간주되어 필터링됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 중복 제거를 처리할 이미지 배치입니다. | IMAGE | 예 | - | +| `유사도 임계값` | 유사도 임계값(0-1)입니다. 값이 높을수록 더 유사함을 의미합니다. 이 임계값 이상인 이미지는 중복으로 간주됩니다. (기본값: 0.95) | FLOAT | 아니요 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 중복이 제거된 필터링된 이미지 목록입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageDeduplication/ko.md) + +--- +**Source fingerprint (SHA-256):** `8904f9dee4ca911821e76d2317983cbc230c4821a9ee7876180bd7dbe42b9a54` diff --git a/ko/built-in-nodes/ImageFlip.mdx b/ko/built-in-nodes/ImageFlip.mdx new file mode 100644 index 000000000..7c81ded1f --- /dev/null +++ b/ko/built-in-nodes/ImageFlip.mdx @@ -0,0 +1,26 @@ +--- +title: "ImageFlip - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageFlip node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageFlip" +icon: "circle" +mode: wide +--- +ImageFlip 노드는 이미지를 다양한 축을 따라 뒤집습니다. x축을 따라 수직으로 또는 y축을 따라 수평으로 이미지를 뒤집을 수 있습니다. 이 노드는 선택한 방법에 따라 torch.flip 연산을 사용하여 뒤집기를 수행합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 뒤집을 입력 이미지 | IMAGE | 예 | - | +| `뒤집기 방법` | 적용할 뒤집기 방향 (기본값: "x-axis: vertically") | STRING | 예 | "x-axis: vertically"
"y-axis: horizontally" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 뒤집힌 출력 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFlip/ko.md) + +--- +**Source fingerprint (SHA-256):** `5cb9949c53653192b1a696179351976c3a87e2e7afc4634624b4d827ad75b527` diff --git a/ko/built-in-nodes/ImageFromBatch.mdx b/ko/built-in-nodes/ImageFromBatch.mdx new file mode 100644 index 000000000..065208dda --- /dev/null +++ b/ko/built-in-nodes/ImageFromBatch.mdx @@ -0,0 +1,24 @@ +--- +title: "ImageFromBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageFromBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageFromBatch" +icon: "circle" +mode: wide +--- +`ImageFromBatch` 노드는 제공된 인덱스와 길이를 기준으로 배치에서 특정 이미지 세그먼트를 추출하도록 설계되었습니다. 이를 통해 배치된 이미지를 보다 세밀하게 제어할 수 있으며, 더 큰 배치 내에서 개별 이미지 또는 이미지 하위 집합에 대한 작업을 수행할 수 있습니다. + +## 입력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지` | 세그먼트가 추출될 이미지 배치입니다. 이 매개변수는 소스 배치를 지정하는 데 중요합니다. | `IMAGE` | +| `배치 번호` | 배치 내에서 추출이 시작되는 시작 인덱스입니다. 배치에서 추출할 세그먼트의 초기 위치를 결정합니다. | `INT` | +| `길이` | `배치 번호`부터 시작하여 배치에서 추출할 이미지의 개수입니다. 이 매개변수는 추출할 세그먼트의 크기를 정의합니다. | `INT` | + +## 출력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지` | 지정된 배치에서 추출된 이미지 세그먼트입니다. 이 출력은 `배치 번호` 및 `길이` 매개변수에 의해 결정된 원본 배치의 하위 집합을 나타냅니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFromBatch/ko.md) diff --git a/ko/built-in-nodes/ImageGrid.mdx b/ko/built-in-nodes/ImageGrid.mdx new file mode 100644 index 000000000..3e8db7be8 --- /dev/null +++ b/ko/built-in-nodes/ImageGrid.mdx @@ -0,0 +1,31 @@ +--- +title: "ImageGrid - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageGrid node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageGrid" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageGrid/en.md) + +Image Grid 노드는 여러 이미지를 하나의 정리된 그리드 또는 콜라주로 결합합니다. 이미지 목록을 받아 지정된 열 수에 맞게 배열하고, 각 이미지를 정의된 셀 크기에 맞게 크기를 조정하며, 선택적으로 이미지 사이에 여백을 추가합니다. 결과적으로 모든 입력 이미지가 그리드 레이아웃으로 배치된 단일 새 이미지가 생성됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 그리드로 배열할 이미지 목록입니다. 이 노드가 작동하려면 최소 하나의 이미지가 필요합니다. | IMAGE | 예 | - | +| `열` | 그리드의 열 수입니다(기본값: 4). | INT | 아니요 | 1 - 20 | +| `셀 너비` | 그리드 각 셀의 너비(픽셀 단위)입니다(기본값: 256). | INT | 아니요 | 32 - 2048 | +| `셀 높이` | 그리드 각 셀의 높이(픽셀 단위)입니다(기본값: 256). | INT | 아니요 | 32 - 2048 | +| `패딩` | 그리드 내 이미지 사이에 배치할 여백(픽셀 단위)입니다(기본값: 4). | INT | 아니요 | 0 - 50 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 모든 입력 이미지가 그리드로 배열된 단일 출력 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageGrid/ko.md) + +--- +**Source fingerprint (SHA-256):** `79d0942c79d3966d06fe804f839c1d677764cef90265bd621bf915fe6de0ad46` diff --git a/ko/built-in-nodes/ImageHistogram.mdx b/ko/built-in-nodes/ImageHistogram.mdx new file mode 100644 index 000000000..02ec8faa6 --- /dev/null +++ b/ko/built-in-nodes/ImageHistogram.mdx @@ -0,0 +1,29 @@ +--- +title: "ImageHistogram - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageHistogram node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageHistogram" +icon: "circle" +mode: wide +--- +ImageHistogram 노드는 입력 이미지의 색상 분포를 분석합니다. 이 노드는 이미지에서 각 가능한 강도 값에 해당하는 픽셀 수를 보여주는 그래프인 여러 히스토그램을 계산하여 출력합니다. 빨간색, 녹색, 파란색 채널에 대한 개별 히스토그램, 복합 RGB 히스토그램, 그리고 표준 밝기 공식을 기반으로 한 휘도 히스토그램을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 분석할 입력 이미지입니다. 노드는 배치(batch) 내 첫 번째 이미지를 처리합니다. | IMAGE | 예 | 해당 없음 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `휘도` | 빨간색, 녹색, 파란색 채널의 평균 픽셀 강도를 나타내는 복합 히스토그램입니다. | HISTOGRAM | +| `레드` | ITU-R BT.709 표준 휘도 공식을 사용하여 계산된 이미지의 인지적 밝기에 대한 히스토그램입니다. | HISTOGRAM | +| `그린` | 빨간색 채널의 픽셀 강도 분포를 보여주는 히스토그램입니다. | HISTOGRAM | +| `블루` | 녹색 채널의 픽셀 강도 분포를 보여주는 히스토그램입니다. | HISTOGRAM | +| `blue` | 파란색 채널의 픽셀 강도 분포를 보여주는 히스토그램입니다. | HISTOGRAM | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageHistogram/ko.md) + +--- +**Source fingerprint (SHA-256):** `9bfcdb2907ab1e5cb2a9a736671fb9286b0e6ce6439fab95187f691b969ea53d` diff --git a/ko/built-in-nodes/ImageInvert.mdx b/ko/built-in-nodes/ImageInvert.mdx new file mode 100644 index 000000000..ef76bfb4d --- /dev/null +++ b/ko/built-in-nodes/ImageInvert.mdx @@ -0,0 +1,22 @@ +--- +title: "ImageInvert - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageInvert node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageInvert" +icon: "circle" +mode: wide +--- +`ImageInvert` 노드는 이미지의 색상을 반전시키도록 설계되었으며, 각 픽셀의 색상 값을 색상환에서 보색으로 효과적으로 변환합니다. 이 작업은 네거티브 이미지를 만들거나 색상 반전이 필요한 시각적 효과에 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 'image' 매개변수는 반전할 입력 이미지를 나타냅니다. 색상을 반전할 대상 이미지를 지정하는 데 중요하며, 노드 실행 및 반전 과정의 시각적 결과에 영향을 미칩니다. | `IMAGE` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 출력은 입력 이미지의 반전된 버전으로, 각 픽셀의 색상 값이 보색으로 변환됩니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageInvert/ko.md) diff --git a/ko/built-in-nodes/ImageMergeTileList.mdx b/ko/built-in-nodes/ImageMergeTileList.mdx new file mode 100644 index 000000000..cba3a64d6 --- /dev/null +++ b/ko/built-in-nodes/ImageMergeTileList.mdx @@ -0,0 +1,32 @@ +--- +title: "ImageMergeTileList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageMergeTileList node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageMergeTileList" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageMergeTileList/en.md) + +이 노드는 이미지 타일 목록을 가져와서 하나의 더 큰 이미지로 병합합니다. 이전에 겹치는 타일 그리드로 분할된 이미지를 재구성하도록 설계되었으며, 가중치 혼합 기법을 사용하여 매끄러운 최종 결과를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `image_list` | 병합할 이미지 타일 목록입니다. 목록의 첫 번째 타일은 전체 프로세스의 타일 크기와 데이터 타입을 결정하는 데 사용됩니다. | IMAGE | 예 | 해당 없음 | +| `final_width` | 최종 병합 이미지의 너비(픽셀 단위, 기본값: 1024)입니다. | INT | 예 | 64 - 32768 | +| `final_height` | 최종 병합 이미지의 높이(픽셀 단위, 기본값: 1024)입니다. | INT | 예 | 64 - 32768 | +| `overlap` | 인접한 타일 간의 겹침 정도(픽셀 단위)입니다. 0보다 큰 값은 타일 경계에서 부드러운 혼합 효과를 활성화합니다(기본값: 128). | INT | 예 | 0 - 4096 | + +**참고:** `image_list`는 동적 입력 목록입니다. 노드는 제공된 순서대로 타일을 처리하며, `final_width`, `final_height` 및 첫 번째 타일의 크기로 정의된 그리드를 채우는 데 필요한 개수까지만 처리합니다. 목록에 필요한 것보다 더 많은 타일이 포함된 경우, 추가 타일은 무시됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 입력 타일에서 재구성된 최종 병합 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageMergeTileList/ko.md) + +--- +**Source fingerprint (SHA-256):** `f8f770ca2e9806d2feb55bb1dfe2c26b09d7a3506caf664990d8536ec5660c92` diff --git a/ko/built-in-nodes/ImageOnlyCheckpointLoader.mdx b/ko/built-in-nodes/ImageOnlyCheckpointLoader.mdx new file mode 100644 index 000000000..7347aa454 --- /dev/null +++ b/ko/built-in-nodes/ImageOnlyCheckpointLoader.mdx @@ -0,0 +1,26 @@ +--- +title: "ImageOnlyCheckpointLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageOnlyCheckpointLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageOnlyCheckpointLoader" +icon: "circle" +mode: wide +--- +이 노드는 `ComfyUI/models/checkpoints` 폴더에 있는 모델을 감지하며, extra_model_paths.yaml 파일에 설정된 추가 경로의 모델도 함께 읽어옵니다. 때로는 **ComfyUI 인터페이스를 새로고침**하여 해당 폴더에서 모델 파일을 읽도록 해야 할 수도 있습니다. + +이 노드는 비디오 생성 워크플로우 내에서 이미지 기반 모델을 위한 체크포인트 로딩에 특화되어 있습니다. 주어진 체크포인트에서 필요한 구성 요소를 효율적으로 검색 및 설정하며, 모델의 이미지 관련 측면에 중점을 둡니다. + +## 입력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `체크포인트 파일명` | 로드할 체크포인트의 이름을 지정합니다. 미리 정의된 목록에서 올바른 체크포인트 파일을 식별하고 검색하는 데 중요합니다. | COMBO[STRING] | + +## 출력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `model` | 체크포인트에서 로드된 주 모델을 반환하며, 비디오 생성 맥락 내에서 이미지 처리를 위해 구성됩니다. | MODEL | +| `clip_vision` | 체크포인트의 CLIP 비전 구성 요소를 제공하며, 이미지 이해 및 특징 추출에 맞게 조정됩니다. | `CLIP_VISION` | +| `vae` | 변분 오토인코더(VAE) 구성 요소를 제공하며, 이미지 조작 및 생성 작업에 필수적입니다. | VAE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointLoader/ko.md) diff --git a/ko/built-in-nodes/ImageOnlyCheckpointSave.mdx b/ko/built-in-nodes/ImageOnlyCheckpointSave.mdx new file mode 100644 index 000000000..1451ebdd0 --- /dev/null +++ b/ko/built-in-nodes/ImageOnlyCheckpointSave.mdx @@ -0,0 +1,32 @@ +--- +title: "ImageOnlyCheckpointSave - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageOnlyCheckpointSave node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageOnlyCheckpointSave" +icon: "circle" +mode: wide +--- +# ImageOnlyCheckpointSave 노드 + +ImageOnlyCheckpointSave 노드는 모델, CLIP 비전 인코더 및 VAE가 포함된 체크포인트 파일을 저장합니다. 지정된 파일명 접두사를 사용하여 safetensors 파일을 생성하고 출력 디렉토리에 저장합니다. 이 노드는 이미지 관련 모델 구성 요소를 단일 체크포인트 파일로 함께 저장하도록 특별히 설계되었습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 체크포인트에 저장할 모델 | MODEL | 예 | - | +| `clip_vision` | 체크포인트에 저장할 CLIP 비전 인코더 | CLIP_VISION | 예 | - | +| `vae` | 체크포인트에 저장할 VAE(변이형 오토인코더) | VAE | 예 | - | +| `파일명 접두사` | 출력 파일명 접두사 (기본값: "checkpoints/ComfyUI") | STRING | 예 | - | +| `prompt` | 워크플로우 프롬프트 데이터를 위한 숨김 매개변수 | PROMPT | 아니요 | - | +| `extra_pnginfo` | 추가 PNG 메타데이터를 위한 숨김 매개변수 | EXTRA_PNGINFO | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| - | 이 노드는 출력을 반환하지 않습니다 | - | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointSave/ko.md) + +--- +**Source fingerprint (SHA-256):** `d2a26933f0e2fcccf3c57f50038fb40ef5b23d00ccdd2e1d215b3cb78203b9fd` diff --git a/ko/built-in-nodes/ImagePadForOutpaint.mdx b/ko/built-in-nodes/ImagePadForOutpaint.mdx new file mode 100644 index 000000000..e024a8c7c --- /dev/null +++ b/ko/built-in-nodes/ImagePadForOutpaint.mdx @@ -0,0 +1,28 @@ +--- +title: "ImagePadForOutpaint - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImagePadForOutpaint node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImagePadForOutpaint" +icon: "circle" +mode: wide +--- +이 노드는 이미지 주변에 패딩을 추가하여 아웃페인팅(outpainting) 프로세스를 위한 이미지를 준비하도록 설계되었습니다. 원본 경계를 넘어 확장된 이미지 영역을 생성하는 것을 용이하게 하기 위해, 아웃페인팅 알고리즘과의 호환성을 보장하도록 이미지 크기를 조정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 'image' 입력은 아웃페인팅을 위해 준비할 기본 이미지로, 패딩 작업의 기준이 됩니다. | `IMAGE` | +| `왼쪽` | 이미지 왼쪽에 추가할 패딩 양을 지정하며, 아웃페인팅을 위한 확장 영역에 영향을 줍니다. | `INT` | +| `위` | 이미지 위쪽에 추가할 패딩 양을 결정하며, 아웃페인팅을 위한 수직 확장에 영향을 줍니다. | `INT` | +| `오른쪽` | 이미지 오른쪽에 추가할 패딩 양을 정의하며, 아웃페인팅을 위한 수평 확장에 영향을 줍니다. | `INT` | +| `아래` | 이미지 아래쪽에 추가할 패딩 양을 나타내며, 아웃페인팅을 위한 수직 확장에 기여합니다. | `INT` | +| `가장자리 흐림` | 원본 이미지와 추가된 패딩 사이의 전환 부드러움을 제어하여, 아웃페인팅을 위한 시각적 통합을 향상시킵니다. | `INT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 출력 'image'는 패딩이 추가된 이미지로, 아웃페인팅 프로세스에 사용할 준비가 되었습니다. | `IMAGE` | +| `mask` | 출력 'mask'는 원본 이미지 영역과 추가된 패딩 영역을 나타내며, 아웃페인팅 알고리즘을 안내하는 데 유용합니다. | `MASK` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImagePadForOutpaint/ko.md) diff --git a/ko/built-in-nodes/ImageQuantize.mdx b/ko/built-in-nodes/ImageQuantize.mdx new file mode 100644 index 000000000..bf9fee325 --- /dev/null +++ b/ko/built-in-nodes/ImageQuantize.mdx @@ -0,0 +1,24 @@ +--- +title: "ImageQuantize - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageQuantize node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageQuantize" +icon: "circle" +mode: wide +--- +ImageQuantize 노드는 이미지의 색상 수를 지정된 개수로 줄이고, 필요에 따라 디더링 기법을 적용하여 시각적 품질을 유지하도록 설계되었습니다. 이 프로세스는 팔레트 기반 이미지를 만들거나 특정 응용 프로그램을 위해 색상 복잡성을 줄이는 데 유용합니다. + +## 입력 + +| 필드 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 양자화할 입력 이미지 텐서입니다. 색상 감소가 수행되는 기본 데이터로서 노드 실행에 영향을 줍니다. | `IMAGE` | +| `색상` | 이미지를 줄일 색상 수를 지정합니다. 색상 팔레트 크기를 결정하여 양자화 프로세스에 직접적인 영향을 줍니다. | `INT` | +| `디더링` | 양자화 중 적용할 디더링 기법을 결정하며, 출력 이미지의 시각적 품질과 외관에 영향을 줍니다. | COMBO[STRING] | + +## 출력 + +| 필드 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 입력 이미지의 양자화된 버전으로, 색상 복잡성이 줄어들었으며 시각적 품질 유지를 위해 선택적으로 디더링이 적용되었습니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageQuantize/ko.md) diff --git a/ko/built-in-nodes/ImageRGBToYUV.mdx b/ko/built-in-nodes/ImageRGBToYUV.mdx new file mode 100644 index 000000000..779d8d889 --- /dev/null +++ b/ko/built-in-nodes/ImageRGBToYUV.mdx @@ -0,0 +1,27 @@ +--- +title: "ImageRGBToYUV - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageRGBToYUV node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageRGBToYUV" +icon: "circle" +mode: wide +--- +ImageRGBToYUV 노드는 RGB 컬러 이미지를 YUV 색 공간으로 변환합니다. 입력으로 RGB 이미지를 받아 Y(휘도), U(청색 투영), V(적색 투영)의 세 가지 개별 채널로 분리합니다. 각 출력 채널은 해당 YUV 구성 요소를 나타내는 별도의 그레이스케일 이미지로 반환됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | YUV 색 공간으로 변환할 입력 RGB 이미지 | IMAGE | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `U` | YUV 색 공간의 휘도(밝기) 구성 요소 | IMAGE | +| `V` | YUV 색 공간의 청색 투영 구성 요소 | IMAGE | +| `V` | YUV 색 공간의 적색 투영 구성 요소 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRGBToYUV/ko.md) + +--- +**Source fingerprint (SHA-256):** `119cba119b62c7b46ffdd2c0feca932a9af1ec41c338fead23c21fdf76a6abb2` diff --git a/ko/built-in-nodes/ImageRotate.mdx b/ko/built-in-nodes/ImageRotate.mdx new file mode 100644 index 000000000..d682c6c37 --- /dev/null +++ b/ko/built-in-nodes/ImageRotate.mdx @@ -0,0 +1,26 @@ +--- +title: "ImageRotate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageRotate node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageRotate" +icon: "circle" +mode: wide +--- +ImageRotate 노드는 입력 이미지를 지정된 각도로 회전합니다. 회전 없음, 시계 방향 90도, 180도, 시계 방향 270도의 네 가지 회전 옵션을 지원합니다. 회전은 이미지 데이터 무결성을 유지하는 효율적인 텐서 연산을 사용하여 수행됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 회전할 입력 이미지 | IMAGE | 예 | - | +| `회전` | 이미지에 적용할 회전 각도 (기본값: "none") | STRING | 예 | "none"
"90 degrees"
"180 degrees"
"270 degrees" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 회전된 출력 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRotate/ko.md) + +--- +**Source fingerprint (SHA-256):** `068946b31ebe87b2524a1e628b5bc0a3da7367d7252fa7afafe96bcbb174747d` diff --git a/ko/built-in-nodes/ImageScale.mdx b/ko/built-in-nodes/ImageScale.mdx new file mode 100644 index 000000000..7cde415d8 --- /dev/null +++ b/ko/built-in-nodes/ImageScale.mdx @@ -0,0 +1,26 @@ +--- +title: "ImageScale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageScale node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageScale" +icon: "circle" +mode: wide +--- +ImageScale 노드는 이미지를 특정 크기로 조정하기 위해 설계되었으며, 다양한 업스케일 방법과 크기 조정된 이미지의 자르기 기능을 제공합니다. 이미지 업스케일링 및 자르기의 복잡성을 추상화하여 사용자 정의 매개변수에 따라 이미지 크기를 수정할 수 있는 직관적인 인터페이스를 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지` | 업스케일할 입력 이미지입니다. 이 매개변수는 노드 작동의 핵심으로, 크기 조정 변환이 적용되는 주요 데이터 역할을 합니다. 출력 이미지의 품질과 크기는 원본 이미지의 속성에 직접적인 영향을 받습니다. | `IMAGE` | +| `확대 방법` | 이미지 업스케일에 사용할 방법을 지정합니다. 방법 선택은 업스케일된 이미지의 품질과 특성에 영향을 미치며, 크기 조정된 출력물의 시각적 충실도와 잠재적 아티팩트에 영향을 줍니다. | COMBO[STRING] | +| `너비` | 업스케일된 이미지의 목표 너비입니다. 이 매개변수는 출력 이미지의 크기에 직접적인 영향을 미치며, 크기 조정 작업의 수평 배율을 결정합니다. | `INT` | +| `높이` | 업스케일된 이미지의 목표 높이입니다. 이 매개변수는 출력 이미지의 크기에 직접적인 영향을 미치며, 크기 조정 작업의 수직 배율을 결정합니다. | `INT` | +| `자르기` | 업스케일된 이미지를 자를지 여부와 방법을 결정하며, 자르기 비활성화 또는 중앙 자르기 옵션을 제공합니다. 지정된 크기에 맞추기 위해 가장자리를 제거하여 이미지의 최종 구도에 영향을 줍니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지` | 업스케일(및 선택적으로 자르기)된 이미지로, 추가 처리 또는 시각화에 사용할 수 있습니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScale/ko.md) diff --git a/ko/built-in-nodes/ImageScaleBy.mdx b/ko/built-in-nodes/ImageScaleBy.mdx new file mode 100644 index 000000000..a10794554 --- /dev/null +++ b/ko/built-in-nodes/ImageScaleBy.mdx @@ -0,0 +1,24 @@ +--- +title: "ImageScaleBy - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageScaleBy node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageScaleBy" +icon: "circle" +mode: wide +--- +ImageScaleBy 노드는 다양한 보간 방법을 사용하여 지정된 배율로 이미지를 업스케일링하도록 설계되었습니다. 다양한 업스케일링 요구에 맞춰 유연하게 이미지 크기를 조정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지` | 업스케일링할 입력 이미지입니다. 이 매개변수는 업스케일링 과정을 거칠 기본 이미지를 제공하므로 매우 중요합니다. | `IMAGE` | +| `확대 방법` | 업스케일링에 사용할 보간 방법을 지정합니다. 방법 선택에 따라 업스케일링된 이미지의 품질과 특성이 달라질 수 있습니다. | COMBO[STRING] | +| `배율` | 이미지를 업스케일링할 배율입니다. 입력 이미지 대비 출력 이미지의 크기 증가 정도를 결정합니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지` | 업스케일링된 이미지로, 지정된 배율과 보간 방법에 따라 입력 이미지보다 크기가 확대됩니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleBy/ko.md) diff --git a/ko/built-in-nodes/ImageScaleToMaxDimension.mdx b/ko/built-in-nodes/ImageScaleToMaxDimension.mdx new file mode 100644 index 000000000..7f215cb3b --- /dev/null +++ b/ko/built-in-nodes/ImageScaleToMaxDimension.mdx @@ -0,0 +1,29 @@ +--- +title: "ImageScaleToMaxDimension - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageScaleToMaxDimension node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageScaleToMaxDimension" +icon: "circle" +mode: wide +--- +# ImageScaleToMaxDimension 노드 + +ImageScaleToMaxDimension 노드는 원본 비율을 유지하면서 지정된 최대 크기에 맞게 이미지를 리사이즈합니다. 이미지가 세로 방향인지 가로 방향인지 계산한 후, 더 큰 쪽의 크기를 목표 크기에 맞추고 작은 쪽의 크기는 비례적으로 조정합니다. 이 노드는 다양한 품질과 성능 요구 사항에 맞는 여러 업스케일링 방법을 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 크기를 조정할 입력 이미지 | IMAGE | 예 | - | +| `업스케일 방법` | 이미지 크기 조정에 사용되는 보간 방법 (기본값: "area") | STRING | 예 | "area"
"lanczos"
"bilinear"
"nearest-exact"
"bilinear"
"bicubic" | +| `최대 크기` | 크기 조정된 이미지의 최대 크기 (기본값: 512) | INT | 예 | 0 ~ 16384 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 가장 큰 크기가 지정된 크기와 일치하도록 조정된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/ko.md) + +--- +**Source fingerprint (SHA-256):** `be113c1a98ab9d884b2c728b790c41fb236857d59af567e43e2be0ef0362cc5e` diff --git a/ko/built-in-nodes/ImageScaleToTotalPixels.mdx b/ko/built-in-nodes/ImageScaleToTotalPixels.mdx new file mode 100644 index 000000000..1af0259ad --- /dev/null +++ b/ko/built-in-nodes/ImageScaleToTotalPixels.mdx @@ -0,0 +1,24 @@ +--- +title: "ImageScaleToTotalPixels - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageScaleToTotalPixels node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageScaleToTotalPixels" +icon: "circle" +mode: wide +--- +**ImageScaleToTotalPixels** 노드는 이미지의 가로세로 비율을 유지하면서 지정된 총 픽셀 수로 크기를 조정하도록 설계되었습니다. 원하는 픽셀 수를 달성하기 위해 이미지를 업스케일링하는 다양한 방법을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 지정된 총 픽셀 수로 업스케일링할 입력 이미지입니다. | `IMAGE` | +| `확대 방법` | 이미지 업스케일링에 사용되는 방법입니다. 업스케일링된 이미지의 품질과 특성에 영향을 미칩니다. | COMBO[STRING] | +| `메가픽셀수` | 메가픽셀 단위의 대상 이미지 크기입니다. 업스케일링된 이미지의 총 픽셀 수를 결정합니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 원본 가로세로 비율을 유지하면서 지정된 총 픽셀 수로 업스케일링된 이미지입니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToTotalPixels/ko.md) diff --git a/ko/built-in-nodes/ImageSharpen.mdx b/ko/built-in-nodes/ImageSharpen.mdx new file mode 100644 index 000000000..a221c191b --- /dev/null +++ b/ko/built-in-nodes/ImageSharpen.mdx @@ -0,0 +1,25 @@ +--- +title: "ImageSharpen - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageSharpen node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageSharpen" +icon: "circle" +mode: wide +--- +ImageSharpen 노드는 이미지의 가장자리와 세부 사항을 강조하여 선명도를 향상시킵니다. 이미지에 선명화 필터를 적용하며, 강도와 반경을 조정할 수 있어 이미지가 더 선명하고 또렷하게 보이도록 합니다. + +## 입력 + +| 필드 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 선명화할 입력 이미지입니다. 이 매개변수는 선명화 효과가 적용될 기본 이미지를 결정하므로 매우 중요합니다. | `IMAGE` | +| `선명화 반경` | 선명화 효과의 반경을 정의합니다. 반경이 클수록 가장자리 주변의 더 많은 픽셀이 영향을 받아 선명화 효과가 더 두드러집니다. | `INT` | +| `시그마` | 선명화 효과의 확산 범위를 제어합니다. 시그마 값이 높을수록 가장자리에서 더 부드러운 전환이 이루어지며, 값이 낮을수록 선명화가 더 국소적으로 적용됩니다. | `FLOAT` | +| `알파` | 선명화 효과의 강도를 조정합니다. 알파 값이 높을수록 선명화 효과가 더 강해집니다. | `FLOAT` | + +## 출력 + +| 필드 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 가장자리와 세부 사항이 향상된 선명화된 이미지로, 추가 처리 또는 표시에 사용할 수 있습니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageSharpen/ko.md) diff --git a/ko/built-in-nodes/ImageStitch.mdx b/ko/built-in-nodes/ImageStitch.mdx new file mode 100644 index 000000000..71d95e037 --- /dev/null +++ b/ko/built-in-nodes/ImageStitch.mdx @@ -0,0 +1,61 @@ +--- +title: "ImageStitch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageStitch node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageStitch" +icon: "circle" +mode: wide +--- +이 노드는 두 개의 이미지를 지정된 방향(위, 아래, 왼쪽, 오른쪽)으로 결합할 수 있으며, 크기 일치 및 이미지 간 간격 설정을 지원합니다. + +## 입력 + +| 매개변수 이름 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `이미지1` | 결합할 첫 번째 이미지 | IMAGE | 필수 | - | - | +| `이미지2` | 결합할 두 번째 이미지, 제공되지 않으면 첫 번째 이미지만 반환 | IMAGE | 선택 | 없음 | - | +| `방향` | 두 번째 이미지를 결합할 방향: 오른쪽, 아래, 왼쪽 또는 위쪽 | STRING | 필수 | right | right/down/left/up | +| `이미지 크기 맞추기` | 두 번째 이미지의 크기를 첫 번째 이미지의 크기와 일치하도록 조정할지 여부 | BOOLEAN | 필수 | True | True/False | +| `간격 너비` | 이미지 사이의 간격 너비, 짝수여야 함 | INT | 필수 | 0 | 0-1024 | +| `간격 색상` | 결합된 이미지 사이의 간격 색상 | STRING | 필수 | white | white/black/red/green/blue | + +> `spacing_color`의 경우, "white/black" 이외의 색상을 사용할 때 `match_image_size`가 `false`로 설정되면 패딩 영역이 검은색으로 채워집니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 결합된 이미지 | IMAGE | + +## 워크플로 예시 + +아래 워크플로에서는 크기가 다른 3개의 입력 이미지를 예시로 사용합니다: + +- image1: 500x300 +- image2: 400x250 +- image3: 300x300 + +![워크플로](/images/built-in-nodes/ImageStitch/workflow.webp) + +**첫 번째 이미지 결합 노드** + +- `match_image_size`: false, 이미지가 원래 크기로 결합됩니다. +- `direction`: up, `image2`가 `image1` 위에 배치됩니다. +- `spacing_width`: 20 +- `spacing_color`: black + +출력 이미지 1: + +![출력1](/images/built-in-nodes/ImageStitch/output-1.webp) + +**두 번째 이미지 결합 노드** + +- `match_image_size`: true, 두 번째 이미지가 첫 번째 이미지의 높이 또는 너비에 맞게 조정됩니다. +- `direction`: right, `image3`이 오른쪽에 나타납니다. +- `spacing_width`: 20 +- `spacing_color`: white + +출력 이미지 2: + +![출력2](/images/built-in-nodes/ImageStitch/output-2.webp) + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageStitch/ko.md) diff --git a/ko/built-in-nodes/ImageToMask.mdx b/ko/built-in-nodes/ImageToMask.mdx new file mode 100644 index 000000000..9b98478b5 --- /dev/null +++ b/ko/built-in-nodes/ImageToMask.mdx @@ -0,0 +1,23 @@ +--- +title: "ImageToMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageToMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageToMask" +icon: "circle" +mode: wide +--- +ImageToMask 노드는 지정된 색상 채널을 기반으로 이미지를 마스크로 변환하도록 설계되었습니다. 이미지의 빨간색, 녹색, 파란색 또는 알파 채널에 해당하는 마스크 레이어를 추출할 수 있어, 채널별 마스킹이나 처리가 필요한 작업을 용이하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지` | 'image' 매개변수는 지정된 색상 채널을 기반으로 마스크가 생성될 입력 이미지를 나타냅니다. 결과 마스크의 내용과 특성을 결정하는 데 중요한 역할을 합니다. | `IMAGE` | +| `채널` | 'channel' 매개변수는 입력 이미지의 어느 색상 채널(빨간색, 녹색, 파란색 또는 알파)을 사용하여 마스크를 생성할지 지정합니다. 이 선택은 마스크의 모양과 이미지에서 강조 표시되거나 마스킹될 부분에 직접적인 영향을 미칩니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `mask` | 출력 'mask'는 입력 이미지의 지정된 색상 채널을 이진 또는 회색조로 표현한 것으로, 추가 이미지 처리 또는 마스킹 작업에 유용합니다. | `MASK` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageToMask/ko.md) diff --git a/ko/built-in-nodes/ImageUpscaleWithModel.mdx b/ko/built-in-nodes/ImageUpscaleWithModel.mdx new file mode 100644 index 000000000..f2f754d35 --- /dev/null +++ b/ko/built-in-nodes/ImageUpscaleWithModel.mdx @@ -0,0 +1,23 @@ +--- +title: "ImageUpscaleWithModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageUpscaleWithModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageUpscaleWithModel" +icon: "circle" +mode: wide +--- +이 노드는 지정된 업스케일 모델을 사용하여 이미지를 업스케일링하도록 설계되었습니다. 이미지를 적절한 장치에 맞게 조정하고, 메모리 사용을 최적화하며, 잠재적인 메모리 부족 오류를 방지하기 위해 타일 방식으로 업스케일 모델을 적용하여 업스케일링 프로세스를 효율적으로 관리합니다. + +## 입력 + +| 매개변수 | 설명 | Comfy 데이터 타입 | +| --- | --- | --- | +| `확대 모델` | 이미지 업스케일링에 사용할 업스케일 모델입니다. 업스케일링 알고리즘과 해당 매개변수를 정의하는 데 중요합니다. | `UPSCALE_MODEL` | +| `이미지` | 업스케일링할 이미지입니다. 이 입력은 업스케일링 프로세스를 거칠 소스 콘텐츠를 결정하는 데 필수적입니다. | `IMAGE` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 업스케일 모델에 의해 처리된 업스케일링된 이미지입니다. 이 출력은 업스케일링 작업의 결과로, 향상된 해상도나 품질을 보여줍니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageUpscaleWithModel/ko.md) diff --git a/ko/built-in-nodes/ImageYUVToRGB.mdx b/ko/built-in-nodes/ImageYUVToRGB.mdx new file mode 100644 index 000000000..75921c305 --- /dev/null +++ b/ko/built-in-nodes/ImageYUVToRGB.mdx @@ -0,0 +1,29 @@ +--- +title: "ImageYUVToRGB - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageYUVToRGB node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageYUVToRGB" +icon: "circle" +mode: wide +--- +ImageYUVToRGB 노드는 YUV 색상 공간 이미지를 RGB 색상 공간으로 변환합니다. Y(휘도), U(청색 투영), V(적색 투영) 채널을 나타내는 세 개의 개별 입력 이미지를 받아 색상 공간 변환을 통해 하나의 RGB 이미지로 결합합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `Y` | Y(휘도) 채널 입력 이미지 | IMAGE | 예 | - | +| `U` | U(청색 투영) 채널 입력 이미지 | IMAGE | 예 | - | +| `V` | V(적색 투영) 채널 입력 이미지 | IMAGE | 예 | - | + +**참고:** 세 개의 입력 이미지(Y, U, V)는 모두 함께 제공되어야 하며, 올바른 변환을 위해 호환되는 크기를 가져야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 변환된 RGB 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageYUVToRGB/ko.md) + +--- +**Source fingerprint (SHA-256):** `ee160be21fce75b3a3e41e25dc1cb0b20305383ff26f9698f07b93d42f98c64f` diff --git a/ko/built-in-nodes/InpaintModelConditioning.mdx b/ko/built-in-nodes/InpaintModelConditioning.mdx new file mode 100644 index 000000000..728dd9df6 --- /dev/null +++ b/ko/built-in-nodes/InpaintModelConditioning.mdx @@ -0,0 +1,28 @@ +--- +title: "InpaintModelConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the InpaintModelConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "InpaintModelConditioning" +icon: "circle" +mode: wide +--- +InpaintModelConditioning 노드는 인페인팅 모델을 위한 컨디셔닝 프로세스를 용이하게 하도록 설계되어, 다양한 컨디셔닝 입력을 통합 및 조작하여 인페인팅 출력을 맞춤화할 수 있도록 합니다. 특정 모델 체크포인트 로드, 스타일 또는 컨트롤 넷 모델 적용부터 컨디셔닝 요소 인코딩 및 결합에 이르기까지 광범위한 기능을 포함하므로, 인페인팅 작업을 사용자 정의하기 위한 포괄적인 도구 역할을 합니다. + +## 입력 + +| 매개변수 | 설명 | Comfy dtype | +| --- | --- | --- | +| `긍정 조건` | 인페인팅 모델에 적용할 긍정적 컨디셔닝 정보 또는 매개변수를 나타냅니다. 이 입력은 인페인팅 작업이 수행되어야 하는 맥락이나 제약 조건을 정의하는 데 중요하며, 최종 출력에 큰 영향을 미칩니다. | `CONDITIONING` | +| `부정 조건` | 인페인팅 모델에 적용할 부정적 컨디셔닝 정보 또는 매개변수를 나타냅니다. 이 입력은 인페인팅 프로세스 중에 피해야 할 조건이나 맥락을 지정하는 데 필수적이며, 최종 출력에 영향을 줍니다. | `CONDITIONING` | +| `vae` | 컨디셔닝 프로세스에 사용할 VAE 모델을 지정합니다. 이 입력은 활용될 VAE 모델의 특정 아키텍처와 매개변수를 결정하는 데 중요합니다. | `VAE` | +| `픽셀 이미지` | 인페인팅할 이미지의 픽셀 데이터를 나타냅니다. 이 입력은 인페인팅 작업에 필요한 시각적 맥락을 제공하는 데 필수적입니다. | `IMAGE` | +| `마스크` | 이미지에 적용할 마스크를 지정하여 인페인팅할 영역을 나타냅니다. 이 입력은 이미지 내에서 인페인팅이 필요한 특정 영역을 정의하는 데 중요합니다. | `MASK` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 처리 후 수정된 긍정적 컨디셔닝 정보로, 인페인팅 모델에 적용할 준비가 되었습니다. 이 출력은 지정된 긍정적 조건에 따라 인페인팅 프로세스를 안내하는 데 필수적입니다. | `CONDITIONING` | +| `잠재 데이터` | 처리 후 수정된 부정적 컨디셔닝 정보로, 인페인팅 모델에 적용할 준비가 되었습니다. 이 출력은 지정된 부정적 조건에 따라 인페인팅 프로세스를 안내하는 데 필수적입니다. | `CONDITIONING` | +| `latent` | 컨디셔닝 프로세스에서 파생된 잠재 표현입니다. 이 출력은 인페인팅 중인 이미지의 기본 특징과 특성을 이해하는 데 중요합니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InpaintModelConditioning/ko.md) diff --git a/ko/built-in-nodes/InstructPixToPixConditioning.mdx b/ko/built-in-nodes/InstructPixToPixConditioning.mdx new file mode 100644 index 000000000..0eab2c84b --- /dev/null +++ b/ko/built-in-nodes/InstructPixToPixConditioning.mdx @@ -0,0 +1,34 @@ +--- +title: "InstructPixToPixConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the InstructPixToPixConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "InstructPixToPixConditioning" +icon: "circle" +mode: wide +--- +# InstructPixToPixConditioning + +InstructPixToPixConditioning 노드는 긍정 및 부정 텍스트 프롬프트를 이미지 데이터와 결합하여 InstructPix2Pix 이미지 편집을 위한 컨디셔닝 데이터를 준비합니다. VAE 인코더를 통해 입력 이미지를 처리하여 잠재 표현을 생성하고, 이 잠재 텐서를 긍정 및 부정 컨디셔닝 데이터에 모두 첨부합니다. 이 노드는 VAE 인코딩 프로세스와의 호환성을 위해 이미지 크기를 8픽셀 단위로 자동으로 자릅니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | 원하는 이미지 특성에 대한 텍스트 프롬프트와 설정을 포함하는 긍정 컨디셔닝 데이터 | CONDITIONING | 예 | - | +| `부정 조건` | 원하지 않는 이미지 특성에 대한 텍스트 프롬프트와 설정을 포함하는 부정 컨디셔닝 데이터 | CONDITIONING | 예 | - | +| `vae` | 입력 이미지를 잠재 표현으로 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - | +| `픽셀` | 처리 및 잠재 공간으로 인코딩될 입력 이미지 | IMAGE | 예 | - | + +**참고:** 입력 이미지 크기는 VAE 인코딩 프로세스와의 호환성을 보장하기 위해 너비와 높이가 각각 가장 가까운 8의 배수로 자동 조정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 잠재 이미지 표현이 첨부된 긍정 컨디셔닝 데이터 | CONDITIONING | +| `잠재 이미지` | 잠재 이미지 표현이 첨부된 부정 컨디셔닝 데이터 | CONDITIONING | +| `latent` | 인코딩된 이미지와 동일한 크기의 빈 잠재 텐서 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InstructPixToPixConditioning/ko.md) + +--- +**Source fingerprint (SHA-256):** `4b2383c9d64efdb558758359bf544fc5a1be65c12b23b54152e2df79a6dd8d79` diff --git a/ko/built-in-nodes/InvertBooleanNode.mdx b/ko/built-in-nodes/InvertBooleanNode.mdx new file mode 100644 index 000000000..ffde54c99 --- /dev/null +++ b/ko/built-in-nodes/InvertBooleanNode.mdx @@ -0,0 +1,27 @@ +--- +title: "InvertBooleanNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the InvertBooleanNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "InvertBooleanNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertBooleanNode/en.md) + +이 노드는 단일 부울(true/false) 입력을 받아 반대 값을 출력합니다. 논리적 NOT 연산을 수행하여 `true`를 `false`로, `false`를 `true`로 변환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `boolean` | 반전할 입력 부울 값입니다. | BOOLEAN | 예 | `true`
`false` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 반전된 부울 값입니다. | BOOLEAN | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertBooleanNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `7c927252a80f42836af6ef16f76714e6892454733d698674b547bd65ddb9d607` diff --git a/ko/built-in-nodes/InvertMask.mdx b/ko/built-in-nodes/InvertMask.mdx new file mode 100644 index 000000000..6ba93206d --- /dev/null +++ b/ko/built-in-nodes/InvertMask.mdx @@ -0,0 +1,22 @@ +--- +title: "InvertMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the InvertMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "InvertMask" +icon: "circle" +mode: wide +--- +InvertMask 노드는 주어진 마스크의 값을 반전시켜 마스크 영역과 비마스크 영역을 효과적으로 뒤바꾸도록 설계되었습니다. 이 작업은 관심 영역을 전경과 배경 간에 전환해야 하는 이미지 처리 작업에서 기본적으로 사용됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `마스크` | 'mask' 매개변수는 반전할 입력 마스크를 나타냅니다. 반전 과정에서 뒤바뀔 영역을 결정하는 데 중요합니다. | MASK | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `마스크` | 출력은 입력 마스크의 반전된 버전으로, 이전에 마스크 처리된 영역은 마스크 해제되고 그 반대의 경우도 마찬가지입니다. | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertMask/ko.md) diff --git a/ko/built-in-nodes/JoinAudioChannels.mdx b/ko/built-in-nodes/JoinAudioChannels.mdx new file mode 100644 index 000000000..43f426bda --- /dev/null +++ b/ko/built-in-nodes/JoinAudioChannels.mdx @@ -0,0 +1,30 @@ +--- +title: "JoinAudioChannels - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the JoinAudioChannels node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "JoinAudioChannels" +icon: "circle" +mode: wide +--- +# 오디오 채널 결합 + +오디오 채널 결합 노드는 두 개의 개별 모노 오디오 입력을 하나의 스테레오 오디오 출력으로 결합합니다. 왼쪽 채널과 오른쪽 채널을 입력받아 호환되는 샘플 레이트와 길이를 보장한 후, 두 채널을 하나의 오디오 파형으로 병합합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `audio_left` | 결과 스테레오 오디오에서 왼쪽 채널로 사용될 모노 오디오 데이터입니다. | AUDIO | 예 | | +| `audio_right` | 결과 스테레오 오디오에서 오른쪽 채널로 사용될 모노 오디오 데이터입니다. | AUDIO | 예 | | + +**참고:** 두 입력 오디오 스트림은 모두 모노(단일 채널)여야 합니다. 샘플 레이트가 다른 경우, 낮은 레이트의 채널이 높은 레이트에 맞춰 자동으로 리샘플링됩니다. 오디오 스트림의 길이가 다른 경우, 더 짧은 쪽의 길이에 맞춰 잘립니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `audio` | 결합된 왼쪽 및 오른쪽 채널을 포함하는 결과 스테레오 오디오입니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinAudioChannels/ko.md) + +--- +**Source fingerprint (SHA-256):** `6dced8c2288fb8f214e04b621ed3ab934231983d7987ff08aa43da6814331be0` diff --git a/ko/built-in-nodes/JoinImageWithAlpha.mdx b/ko/built-in-nodes/JoinImageWithAlpha.mdx new file mode 100644 index 000000000..bea311be5 --- /dev/null +++ b/ko/built-in-nodes/JoinImageWithAlpha.mdx @@ -0,0 +1,23 @@ +--- +title: "JoinImageWithAlpha - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the JoinImageWithAlpha node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "JoinImageWithAlpha" +icon: "circle" +mode: wide +--- +이 노드는 합성 작업을 위해 설계되었으며, 특히 이미지와 해당 알파 마스크를 결합하여 단일 출력 이미지를 생성합니다. 시각적 콘텐츠와 투명도 정보를 효과적으로 결합하여 특정 영역이 투명하거나 반투명한 이미지를 만들 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 알파 마스크와 결합될 주요 시각적 콘텐츠입니다. 투명도 정보가 없는 이미지를 나타냅니다. | `IMAGE` | +| `알파` | 해당 이미지의 투명도를 정의하는 알파 마스크입니다. 이미지의 어느 부분이 투명하거나 반투명해야 하는지를 결정하는 데 사용됩니다. | `MASK` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 입력 이미지와 알파 마스크를 결합하여 투명도 정보가 시각적 콘텐츠에 통합된 단일 이미지가 출력됩니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinImageWithAlpha/ko.md) diff --git a/ko/built-in-nodes/JsonExtractString.mdx b/ko/built-in-nodes/JsonExtractString.mdx new file mode 100644 index 000000000..d8a36ab26 --- /dev/null +++ b/ko/built-in-nodes/JsonExtractString.mdx @@ -0,0 +1,28 @@ +--- +title: "JsonExtractString - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the JsonExtractString node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "JsonExtractString" +icon: "circle" +mode: wide +--- +JsonExtractString 노드는 JSON 데이터가 포함된 텍스트 문자열을 읽고 특정 키와 연결된 값을 추출합니다. 추출된 값을 문자열로 변환합니다. JSON이 유효하지 않거나, 키를 찾을 수 없거나, 값이 null인 경우 노드는 빈 문자열을 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `json_string` | 구문 분석할 JSON 데이터가 포함된 텍스트입니다. | STRING | 예 | 해당 없음 | +| `key` | JSON 객체에서 문자열 값을 추출하려는 특정 키입니다. | STRING | 예 | 해당 없음 | + +**참고:** 이 노드는 JSON 객체(딕셔너리)에서만 값을 추출합니다. 구문 분석된 JSON이 객체가 아니거나 지정된 키가 객체 내에 존재하지 않는 경우 출력은 빈 문자열이 됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 지정된 키에 대해 JSON에서 추출된 문자열 값입니다. 추출에 실패하면 빈 문자열입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JsonExtractString/ko.md) + +--- +**Source fingerprint (SHA-256):** `f05e2d9fd4888870a844c85ac7543d6c38c1c56f2ef22a402fc93ee716743612` diff --git a/ko/built-in-nodes/KSampler.mdx b/ko/built-in-nodes/KSampler.mdx new file mode 100644 index 000000000..1b840cb38 --- /dev/null +++ b/ko/built-in-nodes/KSampler.mdx @@ -0,0 +1,91 @@ +--- +title: "KSampler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KSampler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KSampler" +icon: "circle" +mode: wide +--- +KSampler는 다음과 같이 작동합니다: 특정 모델과 긍정 및 부정 조건을 기반으로 제공된 원본 잠재 이미지 정보를 수정합니다. +먼저 설정된 **시드(seed)** 및 **디노이즈 강도(denoise strength)**에 따라 원본 이미지 데이터에 노이즈를 추가한 후, 사전 설정된 **모델(Model)**과 **긍정(positive)** 및 **부정(negative)** 안내 조건을 결합하여 이미지를 생성합니다. + +## 입력 + +| 매개변수 이름 | 설명 | 데이터 타입 | 필수 | 기본값 | 범위/옵션 | +| --- | --- | --- | --- | --- | --- | +| Model | 디노이징 과정에 사용되는 입력 모델입니다. | checkpoint | 예 | 없음 | - | +| seed | 무작위 노이즈를 생성하는 데 사용됩니다. 동일한 "시드"를 사용하면 동일한 이미지가 생성됩니다. | Int | 예 | 0 | 0 ~ 18446744073709551615 | +| steps | 디노이징 과정에 사용할 단계 수입니다. 단계가 많을수록 더 정확한 결과를 얻을 수 있습니다. | Int | 예 | 20 | 1 ~ 10000 | +| cfg | 생성된 이미지가 입력 조건과 얼마나 일치하는지 제어합니다. 6-8을 권장합니다. | float | 예 | 8.0 | 0.0 ~ 100.0 | +| sampler_name | 디노이징에 사용할 샘플러를 선택합니다. 생성 속도와 스타일에 영향을 줍니다. | UI 옵션 | 예 | 없음 | 여러 알고리즘 | +| scheduler | 노이즈가 제거되는 방식을 제어합니다. 생성 과정에 영향을 줍니다. | UI 옵션 | 예 | 없음 | 여러 스케줄러 | +| Positive | 디노이징을 안내하는 긍정 조건입니다. 이미지에 나타나길 원하는 내용입니다. | conditioning | 예 | 없음 | - | +| Negative | 디노이징을 안내하는 부정 조건입니다. 이미지에 나타나지 않길 원하는 내용입니다. | conditioning | 예 | 없음 | - | +| Latent_Image | 디노이징에 사용되는 잠재 이미지입니다. | Latent | 예 | 없음 | - | +| denoise | 노이즈 제거 비율을 결정합니다. 값이 낮을수록 입력 이미지와의 연관성이 줄어듭니다. | float | 아니요 | 1.0 | 0.0 ~ 1.0 | +| control_after_generate | 각 프롬프트 후에 시드를 변경할 수 있는 기능을 제공합니다. | UI 옵션 | 아니요 | 없음 | Random/Inc/Dec/Keep | + +## 출력 + +| 매개변수 | 기능 | +| --------- | ---------------------------------- | +| Latent | 샘플러 디노이징 후 잠재 이미지를 출력합니다. | + +## 소스 코드 + +[2025년 5월 15일 업데이트됨] + +```Python + +def common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent, denoise=1.0, disable_noise=False, start_step=None, last_step=None, force_full_denoise=False): + latent_image = latent["samples"] + latent_image = comfy.sample.fix_empty_latent_channels(model, latent_image) + + if disable_noise: + noise = torch.zeros(latent_image.size(), dtype=latent_image.dtype, layout=latent_image.layout, device="cpu") + else: + batch_inds = latent["batch_index"] if "batch_index" in latent else None + noise = comfy.sample.prepare_noise(latent_image, seed, batch_inds) + + noise_mask = None + if "noise_mask" in latent: + noise_mask = latent["noise_mask"] + + callback = latent_preview.prepare_callback(model, steps) + disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED + samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, + denoise=denoise, disable_noise=disable_noise, start_step=start_step, last_step=last_step, + force_full_denoise=force_full_denoise, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) + out = latent.copy() + out["samples"] = samples + return (out, ) +class KSampler: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "model": ("MODEL", {"tooltip": "입력 잠재 이미지를 디노이징하는 데 사용되는 모델입니다."}), + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "control_after_generate": True, "tooltip": "노이즈 생성에 사용되는 무작위 시드입니다."}), + "steps": ("INT", {"default": 20, "min": 1, "max": 10000, "tooltip": "디노이징 과정에 사용되는 단계 수입니다."}), + "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01, "tooltip": "CFG(Classifier-Free Guidance) 척도는 창의성과 프롬프트 준수 사이의 균형을 조절합니다. 값이 높을수록 프롬프트와 더 일치하는 이미지를 생성하지만 너무 높으면 품질에 부정적인 영향을 미칩니다."}), + "sampler_name": (comfy.samplers.KSampler.SAMPLERS, {"tooltip": "샘플링 시 사용되는 알고리즘입니다. 생성된 출력의 품질, 속도 및 스타일에 영향을 줄 수 있습니다."}), + "scheduler": (comfy.samplers.KSampler.SCHEDULERS, {"tooltip": "스케줄러는 이미지를 형성하기 위해 노이즈가 점진적으로 제거되는 방식을 제어합니다."}), + "positive": ("CONDITIONING", {"tooltip": "이미지에 포함하려는 속성을 설명하는 조건입니다."}), + "negative": ("CONDITIONING", {"tooltip": "이미지에서 제외하려는 속성을 설명하는 조건입니다."}), + "latent_image": ("LATENT", {"tooltip": "디노이징할 잠재 이미지입니다."}), + "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "적용되는 디노이징의 양입니다. 값이 낮을수록 초기 이미지의 구조를 유지하여 이미지 간 샘플링(image to image sampling)이 가능합니다."}), + } + } + + RETURN_TYPES = ("LATENT",) + OUTPUT_TOOLTIPS = ("디노이징된 잠재 이미지입니다.",) + FUNCTION = "sample" + + CATEGORY = "sampling" + DESCRIPTION = "제공된 모델, 긍정 및 부정 조건을 사용하여 잠재 이미지를 디노이징합니다." + + def sample(self, model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0): + return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) + +``` + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSampler/ko.md) diff --git a/ko/built-in-nodes/KSamplerAdvanced.mdx b/ko/built-in-nodes/KSamplerAdvanced.mdx new file mode 100644 index 000000000..99049308b --- /dev/null +++ b/ko/built-in-nodes/KSamplerAdvanced.mdx @@ -0,0 +1,34 @@ +--- +title: "KSamplerAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KSamplerAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KSamplerAdvanced" +icon: "circle" +mode: wide +--- +KSamplerAdvanced 노드는 고급 구성과 기술을 제공하여 샘플링 프로세스를 개선하도록 설계되었습니다. 기본 KSampler 기능을 개선하여 모델에서 샘플을 생성하기 위한 보다 정교한 옵션을 제공하는 것을 목표로 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 샘플을 생성할 모델을 지정하며, 샘플링 과정에서 중요한 역할을 합니다. | MODEL | +| `노이즈 추가` | 샘플링 과정에 노이즈를 추가할지 여부를 결정하며, 생성된 샘플의 다양성과 품질에 영향을 줍니다. | COMBO[STRING] | +| `노이즈 시드` | 노이즈 생성을 위한 시드 값을 설정하여 샘플링 과정의 재현성을 보장합니다. | INT | +| `스텝 수` | 샘플링 과정에서 수행할 단계 수를 정의하며, 출력물의 세부 묘사와 품질에 영향을 줍니다. | INT | +| `cfg` | 조건화 계수를 제어하여 샘플링 과정의 방향과 공간에 영향을 줍니다. | FLOAT | +| `샘플러 이름` | 사용할 특정 샘플러를 선택하여 샘플링 기술을 사용자 정의할 수 있습니다. | COMBO[STRING] | +| `스케줄러` | 샘플링 과정을 제어하기 위한 스케줄러를 선택하며, 샘플의 진행과 품질에 영향을 줍니다. | COMBO[STRING] | +| `긍정 조건` | 샘플링을 원하는 속성으로 안내하기 위한 긍정적 조건을 지정합니다. | CONDITIONING | +| `부정 조건` | 샘플링이 특정 속성에서 멀어지도록 유도하기 위한 부정적 조건을 지정합니다. | CONDITIONING | +| `잠재 데이터` | 샘플링 과정에서 사용할 초기 잠재 이미지를 제공하며, 시작점 역할을 합니다. | LATENT | +| `시작 스텝` | 샘플링 과정의 시작 단계를 결정하여 샘플링 진행을 제어할 수 있습니다. | INT | +| `종료 스텝` | 샘플링 과정의 종료 단계를 설정하여 샘플링 범위를 정의합니다. | INT | +| `잔여 노이즈 반환` | 잔여 노이즈가 있는 상태로 샘플을 반환할지 여부를 나타내며, 최종 출력물의 외관에 영향을 줍니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 출력은 모델에서 생성된 잠재 이미지를 나타내며, 적용된 구성과 기술을 반영합니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSamplerAdvanced/ko.md) diff --git a/ko/built-in-nodes/KSamplerSelect.mdx b/ko/built-in-nodes/KSamplerSelect.mdx new file mode 100644 index 000000000..980322fea --- /dev/null +++ b/ko/built-in-nodes/KSamplerSelect.mdx @@ -0,0 +1,22 @@ +--- +title: "KSamplerSelect - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KSamplerSelect node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KSamplerSelect" +icon: "circle" +mode: wide +--- +KSamplerSelect 노드는 제공된 샘플러 이름을 기반으로 특정 샘플러를 선택하도록 설계되었습니다. 이 노드는 샘플러 선택의 복잡성을 추상화하여 사용자가 작업에 맞게 다양한 샘플링 전략을 쉽게 전환할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `샘플러 이름` | 선택할 샘플러의 이름을 지정합니다. 이 매개변수는 사용할 샘플링 전략을 결정하며, 전반적인 샘플링 동작과 결과에 영향을 미칩니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 선택된 샘플러 객체를 반환하며, 샘플링 작업에 즉시 사용할 수 있습니다. | `SAMPLER` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSamplerSelect/ko.md) diff --git a/ko/built-in-nodes/Kandinsky5ImageToVideo.mdx b/ko/built-in-nodes/Kandinsky5ImageToVideo.mdx new file mode 100644 index 000000000..d4f5101c9 --- /dev/null +++ b/ko/built-in-nodes/Kandinsky5ImageToVideo.mdx @@ -0,0 +1,37 @@ +--- +title: "Kandinsky5ImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Kandinsky5ImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Kandinsky5ImageToVideo" +icon: "circle" +mode: wide +--- +Kandinsky5ImageToVideo 노드는 Kandinsky 모델을 사용하여 비디오 생성을 위한 조건화(conditioning) 및 잠재 공간(latent space) 데이터를 준비합니다. 빈 비디오 잠재 텐서를 생성하고, 선택적으로 시작 이미지를 인코딩하여 생성된 비디오의 초기 프레임을 안내함으로써 긍정 및 부정 조건화를 수정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `positive` | 비디오 생성을 안내하는 긍정 조건화 프롬프트입니다. | CONDITIONING | 예 | 해당 없음 | +| `negative` | 비디오 생성을 특정 개념에서 멀어지도록 유도하는 부정 조건화 프롬프트입니다. | CONDITIONING | 예 | 해당 없음 | +| `vae` | 선택적 시작 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델입니다. | VAE | 예 | 해당 없음 | +| `너비` | 출력 비디오의 픽셀 단위 너비입니다 (기본값: 768). | INT | 아니요 | 16 ~ 8192 (16 단위) | +| `높이` | 출력 비디오의 픽셀 단위 높이입니다 (기본값: 512). | INT | 아니요 | 16 ~ 8192 (16 단위) | +| `길이` | 비디오의 프레임 수입니다 (기본값: 121). | INT | 아니요 | 1 ~ 8192 (4 단위) | +| `배치 크기` | 동시에 생성할 비디오 시퀀스의 개수입니다 (기본값: 1). | INT | 아니요 | 1 ~ 4096 | +| `시작 이미지` | 선택적 시작 이미지입니다. 제공된 경우 인코딩되어 모델 출력 잠재값의 노이즈가 있는 시작 부분을 대체하는 데 사용됩니다. | IMAGE | 아니요 | 해당 없음 | + +**참고:** `start_image`가 제공되면 쌍선형 보간법을 사용하여 지정된 `width` 및 `height`에 맞게 자동으로 크기가 조정됩니다. 이미지 배치의 첫 번째 `length` 프레임이 인코딩에 사용됩니다. 그런 다음 인코딩된 잠재값이 `positive` 및 `negative` 조건화 모두에 주입되어 비디오의 초기 모양을 안내합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `negative` | 인코딩된 시작 이미지 데이터로 잠재적으로 업데이트된 수정된 긍정 조건화입니다. | CONDITIONING | +| `latent` | 인코딩된 시작 이미지 데이터로 잠재적으로 업데이트된 수정된 부정 조건화입니다. | CONDITIONING | +| `cond_latent` | 지정된 차원에 맞게 형태가 조정된 0으로 채워진 빈 비디오 잠재 텐서입니다. | LATENT | +| `cond_latent` | 제공된 시작 이미지의 깨끗하고 인코딩된 잠재 표현입니다. 이는 생성된 비디오 잠재값의 노이즈가 있는 시작 부분을 대체하기 위해 내부적으로 사용됩니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Kandinsky5ImageToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `19d3b60be18f5adcd659563329988bce2511a1b27b33fd0ab3a9d93e265557f2` diff --git a/ko/built-in-nodes/KarrasScheduler.mdx b/ko/built-in-nodes/KarrasScheduler.mdx new file mode 100644 index 000000000..6b7c30900 --- /dev/null +++ b/ko/built-in-nodes/KarrasScheduler.mdx @@ -0,0 +1,25 @@ +--- +title: "KarrasScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KarrasScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KarrasScheduler" +icon: "circle" +mode: wide +--- +KarrasScheduler 노드는 Karras 등(2022)의 노이즈 스케줄을 기반으로 일련의 노이즈 레벨(시그마)을 생성하도록 설계되었습니다. 이 스케줄러는 생성 모델의 확산 과정을 제어하는 데 유용하며, 생성 과정의 각 단계에 적용되는 노이즈 레벨을 세밀하게 조정할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `스텝 수` | 노이즈 스케줄의 단계 수를 지정하며, 생성되는 시그마 시퀀스의 세분성을 결정합니다. | INT | +| `최대 시그마` | 노이즈 스케줄의 최대 시그마 값으로, 노이즈 레벨의 상한을 설정합니다. | FLOAT | +| `최소 시그마` | 노이즈 스케줄의 최소 시그마 값으로, 노이즈 레벨의 하한을 설정합니다. | FLOAT | +| `rho` | 노이즈 스케줄 곡선의 형태를 제어하는 매개변수로, sigma_min에서 sigma_max까지 노이즈 레벨이 진행되는 방식을 조정합니다. | FLOAT | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `sigmas` | Karras 등(2022)의 노이즈 스케줄에 따라 생성된 일련의 노이즈 레벨(시그마)입니다. | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KarrasScheduler/ko.md) diff --git a/ko/built-in-nodes/KlingAvatarNode.mdx b/ko/built-in-nodes/KlingAvatarNode.mdx new file mode 100644 index 000000000..ee6ebc78e --- /dev/null +++ b/ko/built-in-nodes/KlingAvatarNode.mdx @@ -0,0 +1,33 @@ +--- +title: "KlingAvatarNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingAvatarNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingAvatarNode" +icon: "circle" +mode: wide +--- +# Kling Avatar 2.0 노드 + +Kling Avatar 2.0 노드는 단일 참조 사진과 오디오 파일로부터 방송 스타일의 디지털 휴먼 비디오를 생성합니다. 선택적 텍스트 프롬프트를 통해 아바타의 동작, 감정 및 카메라 움직임을 정의하여 말하는 아바타 비디오를 제작합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 아바타 참조 이미지입니다. 너비와 높이가 최소 300px 이상이어야 합니다. 종횡비는 1:2.5에서 2.5:1 사이여야 합니다. | IMAGE | 예 | - | +| `sound_file` | 오디오 입력입니다. 길이는 2초에서 300초 사이여야 합니다. | AUDIO | 예 | - | +| `mode` | 사용할 생성 모드입니다. | COMBO | 예 | `"std"`
`"pro"` | +| `prompt` | 아바타 동작, 감정 및 카메라 움직임을 정의하는 선택적 프롬프트입니다. (기본값: 빈 문자열) | STRING | 아니요 | - | +| `seed` | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다. (기본값: 0) | INT | 예 | 0 ~ 2147483647 | + +**참고:** `image` 및 `sound_file` 입력에는 특정 검증 요구사항이 있습니다. 이미지는 최소 300x300 픽셀이어야 하며 종횡비가 1:2.5에서 2.5:1 사이여야 합니다. 오디오 파일은 2초에서 300초 사이의 길이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 디지털 휴먼 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingAvatarNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `85793d3820a89ef98bb54cb930486847d4fd64cce5470ba34574ec319f8ea8c6` diff --git a/ko/built-in-nodes/KlingCameraControlI2VNode.mdx b/ko/built-in-nodes/KlingCameraControlI2VNode.mdx new file mode 100644 index 000000000..cf98103cc --- /dev/null +++ b/ko/built-in-nodes/KlingCameraControlI2VNode.mdx @@ -0,0 +1,34 @@ +--- +title: "KlingCameraControlI2VNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingCameraControlI2VNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingCameraControlI2VNode" +icon: "circle" +mode: wide +--- +# Kling 이미지-투-비디오 카메라 제어 노드 + +Kling 이미지-투-비디오 카메라 제어 노드는 정적 이미지를 전문적인 카메라 움직임이 있는 시네마틱 비디오로 변환합니다. 이 특화된 이미지-투-비디오 노드를 사용하면 원본 이미지에 초점을 유지하면서 확대/축소, 회전, 패닝, 틸팅 및 1인칭 시점을 포함한 가상 카메라 동작을 제어할 수 있습니다. 카메라 제어는 현재 kling-v1-5 모델을 사용한 프로 모드에서 5초 길이로만 지원됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `start_frame` | 참조 이미지 - URL 또는 Base64로 인코딩된 문자열, 10MB를 초과할 수 없으며 해상도는 300x300px 이상이어야 하고 종횡비는 1:2.5에서 2.5:1 사이여야 합니다. Base64에는 data:image 접두사가 포함되지 않아야 합니다. | IMAGE | 예 | - | +| `프롬프트` | 원하는 비디오 콘텐츠를 설명하는 긍정 텍스트 프롬프트 | STRING | 예 | - | +| `부정 프롬프트` | 생성된 비디오에서 피해야 할 내용을 설명하는 부정 텍스트 프롬프트 | STRING | 예 | - | +| `cfg 스케일` | 텍스트 안내 강도를 제어합니다. 값이 높을수록 출력이 프롬프트를 더 밀접하게 따릅니다(기본값: 0.75) | FLOAT | 아니요 | 0.0 ~ 1.0 | +| `종횡비` | 생성된 비디오의 종횡비(기본값: "16:9") | COMBO | 아니요 | `"16:9"`
`"9:16"`
`"1:1"` | +| `카메라 제어` | Kling 카메라 제어 노드를 사용하여 생성할 수 있습니다. 비디오 생성 중 카메라 움직임과 모션을 제어합니다. | CAMERA_CONTROL | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오 ID` | 생성된 비디오 출력 | VIDEO | +| `길이` | 생성된 비디오의 고유 식별자 | STRING | +| `duration` | 생성된 비디오의 길이 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `a2965975cd484768298f4c7e504423f782ea032dfb5ef304579715be9c27cb79` diff --git a/ko/built-in-nodes/KlingCameraControlT2VNode.mdx b/ko/built-in-nodes/KlingCameraControlT2VNode.mdx new file mode 100644 index 000000000..21ac2928c --- /dev/null +++ b/ko/built-in-nodes/KlingCameraControlT2VNode.mdx @@ -0,0 +1,33 @@ +--- +title: "KlingCameraControlT2VNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingCameraControlT2VNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingCameraControlT2VNode" +icon: "circle" +mode: wide +--- +# Kling 텍스트-비디오 카메라 제어 노드 + +Kling 텍스트-비디오 카메라 제어 노드는 텍스트를 실제 영화 촬영 기법을 시뮬레이션하는 전문적인 카메라 움직임이 있는 시네마틱 비디오로 변환합니다. 이 노드는 줌, 회전, 패닝, 틸트 및 1인칭 시점을 포함한 가상 카메라 동작을 제어하면서 원본 텍스트에 대한 초점을 유지합니다. 지속 시간, 모드 및 모델 이름은 하드코딩되어 있습니다. 카메라 제어는 kling-v1-5 모델의 프로 모드에서 5초 지속 시간으로만 지원되기 때문입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 긍정 텍스트 프롬프트 | STRING | 예 | - | +| `부정 프롬프트` | 부정 텍스트 프롬프트 | STRING | 예 | - | +| `cfg 스케일` | 출력이 프롬프트를 얼마나 밀접하게 따르는지 제어합니다 (기본값: 0.75) | FLOAT | 아니요 | 0.0-1.0 | +| `종횡비` | 생성된 비디오의 화면 비율입니다 (기본값: "16:9") | COMBO | 아니요 | "16:9"
"9:16"
"1:1"
"21:9"
"3:4"
"4:3" | +| `카메라 제어` | Kling 카메라 제어 노드를 사용하여 생성할 수 있습니다. 비디오 생성 중 카메라 움직임과 모션을 제어합니다. | CAMERA_CONTROL | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오 ID` | 카메라 제어 효과가 적용된 생성된 비디오 | VIDEO | +| `길이` | 생성된 비디오의 고유 식별자 | STRING | +| `duration` | 생성된 비디오의 지속 시간 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `4ebdd6af31f9e5c0816c4bcba886179b3f7d2b5030ff4fa3ddad6df25c528af7` diff --git a/ko/built-in-nodes/KlingCameraControls.mdx b/ko/built-in-nodes/KlingCameraControls.mdx new file mode 100644 index 000000000..a29e81c3c --- /dev/null +++ b/ko/built-in-nodes/KlingCameraControls.mdx @@ -0,0 +1,35 @@ +--- +title: "KlingCameraControls - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingCameraControls node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingCameraControls" +icon: "circle" +mode: wide +--- +# Kling 카메라 컨트롤 노드 + +Kling 카메라 컨트롤 노드는 비디오 생성에서 모션 컨트롤 효과를 만들기 위한 다양한 카메라 이동 및 회전 매개변수를 구성할 수 있도록 합니다. 카메라 위치 지정, 회전 및 줌을 위한 컨트롤을 제공하여 다양한 카메라 움직임을 시뮬레이션합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `카메라 제어 종류` | 사용할 카메라 컨트롤 구성 유형을 지정합니다 | COMBO | 예 | `"simple"`
`"advanced"` | +| `수평 이동` | 수평축(x축)을 따른 카메라 이동을 제어합니다. 음수는 왼쪽, 양수는 오른쪽을 나타냅니다(기본값: 0.0) | FLOAT | 아니요 | -10.0 ~ 10.0 | +| `수직 이동` | 수직축(y축)을 따른 카메라 이동을 제어합니다. 음수는 아래쪽, 양수는 위쪽을 나타냅니다(기본값: 0.0) | FLOAT | 아니요 | -10.0 ~ 10.0 | +| `수평 회전` | 수직 평면(x축)에서 카메라 회전을 제어합니다. 음수는 아래쪽 회전, 양수는 위쪽 회전을 나타냅니다(기본값: 0.5) | FLOAT | 아니요 | -10.0 ~ 10.0 | +| `상하 회전` | 수평 평면(y축)에서 카메라 회전을 제어합니다. 음수는 왼쪽 회전, 양수는 오른쪽 회전을 나타냅니다(기본값: 0.0) | FLOAT | 아니요 | -10.0 ~ 10.0 | +| `축 회전` | 카메라의 롤링 양(z축)을 제어합니다. 음수는 시계 반대 방향, 양수는 시계 방향을 나타냅니다(기본값: 0.0) | FLOAT | 아니요 | -10.0 ~ 10.0 | +| `확대/축소` | 카메라 초점 거리의 변화를 제어합니다. 음수는 더 좁은 시야, 양수는 더 넓은 시야를 나타냅니다(기본값: 0.0) | FLOAT | 아니요 | -10.0 ~ 10.0 | + +**참고:** 구성이 유효하려면 카메라 컨트롤 매개변수(`horizontal_movement`, `vertical_movement`, `pan`, `tilt`, `roll` 또는 `zoom`) 중 하나 이상이 0이 아닌 값을 가져야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `camera_control` | 비디오 생성에 사용할 구성된 카메라 컨트롤 설정을 반환합니다 | CAMERA_CONTROL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControls/ko.md) + +--- +**Source fingerprint (SHA-256):** `4e1d826518ae17afd2c0aa22ebf6cce67b3ef33bb1730f0ce5ead5b9431cd548` diff --git a/ko/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx b/ko/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx new file mode 100644 index 000000000..0b7720e2d --- /dev/null +++ b/ko/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx @@ -0,0 +1,33 @@ +--- +title: "KlingDualCharacterVideoEffectNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingDualCharacterVideoEffectNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingDualCharacterVideoEffectNode" +icon: "circle" +mode: wide +--- +# Kling 듀얼 캐릭터 비디오 효과 노드 + +Kling 듀얼 캐릭터 비디오 효과 노드는 선택한 장면에 따라 특수 효과가 적용된 비디오를 생성합니다. 두 개의 이미지를 입력받아 첫 번째 이미지는 합성 비디오의 왼쪽에, 두 번째 이미지는 오른쪽에 배치합니다. 선택한 효과 장면에 따라 다양한 시각적 효과가 적용됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `왼쪽 이미지` | 왼쪽 이미지 | IMAGE | 예 | - | +| `오른쪽 이미지` | 오른쪽 이미지 | IMAGE | 예 | - | +| `효과 장면` | 비디오 생성에 적용할 특수 효과 장면 유형 | COMBO | 예 | `"chat"`
`"dance"`
`"hug"`
`"kill"`
`"kiss"`
`"pat"`
`"punch"`
`"shrug"`
`"slap"`
`"tickle"` | +| `모델명` | 캐릭터 효과에 사용할 모델 (기본값: "kling-v1") | COMBO | 아니요 | `"kling-v1"`
`"kling-v1-5"`
`"kling-v1-6"` | +| `모드` | 비디오 생성 모드 (기본값: "std") | COMBO | 아니요 | `"std"`
`"pro"` | +| `길이` | 생성된 비디오의 길이(초) | COMBO | 예 | `"5"`
`"10"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `길이` | 듀얼 캐릭터 효과가 적용된 생성된 비디오 | VIDEO | +| `길이` | 생성된 비디오의 길이 정보 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `4ee0c3cd834e1c70e41b40b66ac98d15a8b88993e7dc9d9df9fb4fadb868f079` diff --git a/ko/built-in-nodes/KlingFirstLastFrameNode.mdx b/ko/built-in-nodes/KlingFirstLastFrameNode.mdx new file mode 100644 index 000000000..2a193b0f9 --- /dev/null +++ b/ko/built-in-nodes/KlingFirstLastFrameNode.mdx @@ -0,0 +1,36 @@ +--- +title: "KlingFirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingFirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingFirstLastFrameNode" +icon: "circle" +mode: wide +--- +이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md) + +이 노드는 Kling 3.0 모델을 사용하여 비디오를 생성합니다. 텍스트 프롬프트, 지정된 길이, 그리고 제공된 두 개의 이미지(시작 프레임과 종료 프레임)를 기반으로 비디오를 생성합니다. 또한 비디오에 맞춰 오디오를 함께 생성할 수도 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 비디오 생성을 안내하는 텍스트 설명입니다. 1자에서 2500자 사이여야 합니다. | STRING | 예 | 해당 없음 | +| `지속 시간` | 비디오 길이(초)입니다(기본값: 5). | INT | 아니요 | 3 ~ 15 | +| `첫 프레임` | 비디오의 시작 이미지입니다. 최소 300x300픽셀이어야 하며 화면 비율이 1:2.5에서 2.5:1 사이여야 합니다. | IMAGE | 예 | 해당 없음 | +| `마지막 프레임` | 비디오의 종료 이미지입니다. 최소 300x300픽셀이어야 하며 화면 비율이 1:2.5에서 2.5:1 사이여야 합니다. | IMAGE | 예 | 해당 없음 | +| `오디오 생성` | 비디오에 오디오를 생성할지 여부를 제어합니다(기본값: True). | BOOLEAN | 아니요 | 해당 없음 | +| `모델` | 모델 및 생성 설정입니다. 이 옵션을 선택하면 중첩된 `resolution` 매개변수가 표시됩니다. | COMBO | 아니요 | `"kling-v3"` | +| `model.resolution` | 생성된 비디오의 해상도입니다. 이 매개변수는 `모델`이 `"kling-v3"`로 설정된 경우에만 사용할 수 있습니다(기본값: `"1080p"`). | COMBO | 아니요 | `"4k"`
`"1080p"`
`"720p"` | +| `시드` | 노드 재실행 여부를 제어하는 데 사용되는 숫자입니다. 시드 값과 관계없이 결과는 비결정적입니다(기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | + +**참고:** `first_frame` 및 `end_frame` 이미지는 노드가 올바르게 작동하려면 지정된 최소 크기와 화면 비율 요구 사항을 충족해야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `5c904fec35b2bb41cf521263b1b06fd36ba227400b4cec24e79a4e80618e4bae` diff --git a/ko/built-in-nodes/KlingImage2VideoNode.mdx b/ko/built-in-nodes/KlingImage2VideoNode.mdx new file mode 100644 index 000000000..2eb3b656a --- /dev/null +++ b/ko/built-in-nodes/KlingImage2VideoNode.mdx @@ -0,0 +1,36 @@ +--- +title: "KlingImage2VideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingImage2VideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingImage2VideoNode" +icon: "circle" +mode: wide +--- +# Kling 이미지-투-비디오 노드 + +Kling 이미지-투-비디오 노드는 시작 참조 이미지와 텍스트 프롬프트를 사용하여 비디오를 생성합니다. 이미지를 첫 번째 프레임으로 사용하고, 긍정 및 부정 텍스트 설명을 기반으로 비디오 시퀀스를 생성하며, 모델, 지속 시간, 화면 비율 및 생성 모드에 대한 구성 가능한 옵션을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `start_frame` | 비디오 생성에 사용되는 참조 이미지입니다. | IMAGE | 예 | - | +| `프롬프트` | 긍정 텍스트 프롬프트입니다. | STRING | 예 | - | +| `부정 프롬프트` | 부정 텍스트 프롬프트입니다. | STRING | 예 | - | +| `모델명` | 비디오 생성에 사용되는 모델입니다(기본값: `"kling-v2-master"`). | COMBO | 예 | `"kling-v2-master"`
`"kling-v2-1-master"`
`"kling-v2-5-turbo"`
`"kling-v2-1"`
`"kling-v1-6"`
`"kling-v1-5"`
`"kling-v1-4"`
`"kling-v1-0"` | +| `cfg 스케일` | 비디오가 프롬프트를 얼마나 밀접하게 따르는지 제어합니다. 값이 높을수록 더 강하게 따릅니다(기본값: 0.8). | FLOAT | 예 | 0.0 ~ 1.0 | +| `모드` | 생성 모드입니다. `"std"`는 표준 품질, `"pro"`는 더 높은 품질입니다(기본값: `"std"`). | COMBO | 예 | `"std"`
`"pro"` | +| `종횡비` | 생성된 비디오의 화면 비율입니다(기본값: `"16:9"`). | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"` | +| `길이` | 생성된 비디오의 지속 시간(초)입니다(기본값: `"5"`). | COMBO | 예 | `"5"`
`"10"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오 ID` | 생성된 비디오 출력입니다. | VIDEO | +| `길이` | 생성된 비디오의 고유 식별자입니다. | STRING | +| `길이` | 생성된 비디오의 지속 시간 정보입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImage2VideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `2f82997307265dba6714733523e265d1e0a25fd7491b043f05d7d000b7b9b2f3` diff --git a/ko/built-in-nodes/KlingImageGenerationNode.mdx b/ko/built-in-nodes/KlingImageGenerationNode.mdx new file mode 100644 index 000000000..11e698696 --- /dev/null +++ b/ko/built-in-nodes/KlingImageGenerationNode.mdx @@ -0,0 +1,43 @@ +--- +title: "KlingImageGenerationNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingImageGenerationNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingImageGenerationNode" +icon: "circle" +mode: wide +--- +# Kling 이미지 생성 노드 + +Kling 이미지 생성 노드는 텍스트 프롬프트로부터 이미지를 생성하며, 참조 이미지를 사용하여 가이드할 수 있는 옵션을 제공합니다. 텍스트 설명과 참조 설정을 기반으로 하나 이상의 이미지를 생성한 후, 생성된 이미지를 출력으로 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 긍정 텍스트 프롬프트 | STRING | 예 | - | +| `부정 프롬프트` | 부정 텍스트 프롬프트 | STRING | 예 | - | +| `이미지 종류` | 이미지 참조 유형 선택(고급). 참조 이미지가 제공될 때 필요합니다. | COMBO | 예 | `"subject_reference"`
`"style_reference"` | +| `이미지 충실도` | 사용자 업로드 이미지의 참조 강도(기본값: 0.5, 고급) | FLOAT | 예 | 0.0 - 1.0 | +| `사람 충실도` | 피사체 참조 유사도(기본값: 0.45, 고급) | FLOAT | 예 | 0.0 - 1.0 | +| `모델 명` | 이미지 생성을 위한 모델 선택(기본값: "kling-v3") | COMBO | 예 | `"kling-v3"`
`"kling-v2"`
`"kling-v1-5"` | +| `종횡비` | 생성된 이미지의 화면 비율(기본값: "16:9") | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | +| `개수` | 생성할 이미지 수(기본값: 1) | INT | 예 | 1 - 9 | +| `이미지` | 선택적 참조 이미지 | IMAGE | 아니요 | - | +| `시드` | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다(기본값: 0) | INT | 아니요 | 0 - 2147483647 | + +**매개변수 제약 조건:** + +- `image` 매개변수는 선택 사항입니다. 참조 이미지가 제공될 경우 `image_type` 매개변수를 반드시 `"subject_reference"` 또는 `"style_reference"`로 설정해야 합니다. +- 참조 이미지가 제공되지 않을 경우 `image_type`, `image_fidelity`, `human_fidelity` 매개변수는 사용되지 않습니다. +- 프롬프트와 부정 프롬프트의 최대 길이는 `MAX_PROMPT_LENGTH_IMAGE_GEN`자입니다. +- `seed` 매개변수는 선택 사항이며 결정적 결과를 보장하지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력 매개변수를 기반으로 생성된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageGenerationNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `f25164f4007b1f62285e76519238b5061b63597e1a06365acf93d4289063bd3a` diff --git a/ko/built-in-nodes/KlingImageToVideoWithAudio.mdx b/ko/built-in-nodes/KlingImageToVideoWithAudio.mdx new file mode 100644 index 000000000..1b98549a6 --- /dev/null +++ b/ko/built-in-nodes/KlingImageToVideoWithAudio.mdx @@ -0,0 +1,32 @@ +--- +title: "KlingImageToVideoWithAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingImageToVideoWithAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingImageToVideoWithAudio" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md) + +Kling Image(첫 번째 프레임) to Video with Audio 노드는 Kling AI 모델을 사용하여 단일 시작 이미지와 텍스트 프롬프트로 짧은 비디오를 생성합니다. 제공된 이미지로 시작하는 비디오 시퀀스를 만들며, 선택적으로 AI 생성 오디오를 시각 자료와 함께 포함할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model_name` | 비디오 생성에 사용할 Kling AI 모델의 특정 버전입니다. | COMBO | 예 | `"kling-v2-6"` | +| `시작 프레임` | 생성된 비디오의 첫 번째 프레임으로 사용될 이미지입니다. 이미지는 최소 300x300픽셀이어야 하며, 종횡비가 1:2.5에서 2.5:1 사이여야 합니다. | IMAGE | 예 | - | +| `프롬프트` | 긍정 텍스트 프롬프트입니다. 생성하려는 비디오 콘텐츠를 설명합니다. 프롬프트는 1자에서 2500자 사이여야 합니다. | STRING | 예 | - | +| `모드` | 비디오 생성을 위한 작동 모드입니다. | COMBO | 예 | `"pro"` | +| `길이` | 생성할 비디오의 길이(초)입니다. | COMBO | 예 | `5`
`10` | +| `오디오 생성` | 활성화하면 노드가 비디오와 함께 오디오를 생성합니다. 비활성화하면 비디오가 무음이 됩니다. (기본값: True) | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `video` | 생성된 비디오 파일로, `오디오 생성` 입력에 따라 오디오가 포함될 수 있습니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `f161eedbc5d780805e3d0ca32b6be94cc78afcd2749e065c032ea20991b782fc` diff --git a/ko/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx b/ko/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx new file mode 100644 index 000000000..263a9737f --- /dev/null +++ b/ko/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx @@ -0,0 +1,40 @@ +--- +title: "KlingLipSyncAudioToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingLipSyncAudioToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingLipSyncAudioToVideoNode" +icon: "circle" +mode: wide +--- +# Kling 립싱크 오디오-투-비디오 노드 + +Kling 립싱크 오디오-투-비디오 노드는 비디오 파일의 입 움직임을 오디오 파일의 음성 내용과 동기화합니다. 이 노드는 오디오의 음성 패턴을 분석하고 비디오의 얼굴 움직임을 조정하여 사실적인 립싱크를 생성합니다. 이 과정에는 뚜렷한 얼굴이 포함된 비디오와 명확하게 구분되는 음성이 포함된 오디오 파일이 모두 필요합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `비디오` | 립싱크할 얼굴이 포함된 비디오 파일 | VIDEO | 예 | - | +| `오디오` | 비디오와 동기화할 음성이 포함된 오디오 파일 | AUDIO | 예 | - | +| `음성 언어` | 오디오 파일에 포함된 음성의 언어 (기본값: "en") | COMBO | 예 | `"en"`
`"zh"`
`"es"`
`"fr"`
`"de"`
`"it"`
`"pt"`
`"pl"`
`"tr"`
`"ru"`
`"nl"`
`"cs"`
`"ar"`
`"ja"`
`"hu"`
`"ko"` | + +**중요 제약 사항:** + +- 오디오 파일은 5MB를 초과할 수 없습니다 +- 비디오 파일은 100MB를 초과할 수 없습니다 +- 비디오의 가로/세로 크기는 720px에서 1920px 사이여야 합니다 +- 비디오 길이는 2초에서 10초 사이여야 합니다 +- 오디오에는 명확하게 구분되는 음성이 포함되어야 합니다 +- 비디오에는 뚜렷한 얼굴이 포함되어야 합니다 + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오 ID` | 립싱크된 입 움직임이 적용된 처리된 비디오 | VIDEO | +| `재생 시간` | 처리된 비디오의 고유 식별자 | STRING | +| `duration` | 처리된 비디오의 길이 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `92b8a7a4f9508632155a5f69707ffc4a14f2f44c04e4d01bf46476a972465592` diff --git a/ko/built-in-nodes/KlingLipSyncTextToVideoNode.mdx b/ko/built-in-nodes/KlingLipSyncTextToVideoNode.mdx new file mode 100644 index 000000000..c505d5740 --- /dev/null +++ b/ko/built-in-nodes/KlingLipSyncTextToVideoNode.mdx @@ -0,0 +1,38 @@ +--- +title: "KlingLipSyncTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingLipSyncTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingLipSyncTextToVideoNode" +icon: "circle" +mode: wide +--- +# Kling 립싱크 텍스트-투-비디오 노드 + +Kling 립 싱크 텍스트-투-비디오 노드는 비디오 파일의 입 움직임을 텍스트 프롬프트와 동기화합니다. 입력 비디오를 받아 캐릭터의 입술 움직임이 제공된 텍스트와 일치하는 새로운 비디오를 생성합니다. 이 노드는 음성 합성을 사용하여 자연스러운 발화 동기화를 구현합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `비디오` | 립싱크를 위한 입력 비디오 파일 | VIDEO | 예 | - | +| `텍스트` | 립싱크 비디오 생성을 위한 텍스트 내용. 모드가 text2video일 때 필수입니다. 최대 길이는 120자입니다. | STRING | 예 | - | +| `음성` | 립싱크 오디오를 위한 음성 선택 (기본값: "Melody") | COMBO | 아니요 | "Melody"
"Bella"
"Aria"
"Ethan"
"Ryan"
"Dorothy"
"Nathan"
"Lily"
"Aaron"
"Emma"
"Grace"
"Henry"
"Isabella"
"James"
"Katherine"
"Liam"
"Mia"
"Noah"
"Olivia"
"Sophia" | +| `음성 속도` | 말하기 속도. 유효 범위: 0.8~2.0, 소수점 첫째 자리까지 정확합니다. (기본값: 1) | FLOAT | 아니요 | 0.8-2.0 | + +**비디오 요구 사항:** + +- 비디오 파일은 100MB를 초과할 수 없습니다 +- 높이/너비는 720px에서 1920px 사이여야 합니다 +- 길이는 2초에서 10초 사이여야 합니다 + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오 ID` | 립싱크 오디오가 적용된 생성된 비디오 | VIDEO | +| `길이` | 생성된 비디오의 고유 식별자 | STRING | +| `duration` | 생성된 비디오의 길이 정보 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `f16200d52ba05acfedebc027dde91e2c91bdbb80086888d947c9f56a4e92856d` diff --git a/ko/built-in-nodes/KlingMotionControl.mdx b/ko/built-in-nodes/KlingMotionControl.mdx new file mode 100644 index 000000000..13ecb05b4 --- /dev/null +++ b/ko/built-in-nodes/KlingMotionControl.mdx @@ -0,0 +1,36 @@ +--- +title: "KlingMotionControl - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingMotionControl node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingMotionControl" +icon: "circle" +mode: wide +--- +Kling Motion Control 노드는 참조 이미지와 텍스트 프롬프트로 정의된 캐릭터에 참조 비디오의 동작, 표정 및 카메라 움직임을 적용하여 비디오를 생성합니다. 캐릭터의 최종 방향을 참조 비디오에서 가져올지, 참조 이미지에서 가져올지 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 원하는 비디오에 대한 텍스트 설명입니다. 최대 길이는 2500자입니다. | STRING | 예 | 해당 없음 | +| `참조 이미지` | 애니메이션을 적용할 캐릭터의 이미지입니다. 최소 크기는 340x340픽셀입니다. 가로 세로 비율은 1:2.5에서 2.5:1 사이여야 합니다. | IMAGE | 예 | 해당 없음 | +| `참조 비디오` | 캐릭터의 움직임과 표정을 구동하는 데 사용되는 동작 참조 비디오입니다. 최소 크기는 340x340픽셀, 최대 크기는 3850x3850픽셀입니다. 재생 시간 제한은 `캐릭터 방향` 설정에 따라 달라집니다. | VIDEO | 예 | 해당 없음 | +| `원본 사운드 유지` | 출력에 참조 비디오의 원본 오디오를 유지할지 여부를 결정합니다. 기본값은 `True`입니다. | BOOLEAN | 아니요 | 해당 없음 | +| `캐릭터 방향` | 캐릭터의 방향/정면을 어디에서 가져올지 제어합니다. `"video"`: 움직임, 표정, 카메라 움직임 및 방향이 동작 참조 비디오를 따릅니다(기타 세부 사항은 프롬프트를 통해 지정). `"image"`: 움직임과 표정은 여전히 동작 참조 비디오를 따르지만, 캐릭터 방향은 참조 이미지와 일치합니다(카메라/기타 세부 사항은 프롬프트를 통해 지정). | COMBO | 아니요 | `"video"`
`"image"` | +| `모드` | 사용할 생성 모드입니다. | COMBO | 아니요 | `"pro"`
`"std"` | +| `모델` | 사용할 Kling 모델 버전입니다. 기본값은 `"kling-v2-6"`입니다. | COMBO | 아니요 | `"kling-v3"`
`"kling-v2-6"` | + +**제약 사항:** + +* `character_orientation`이 `"video"`로 설정된 경우 `reference_video`의 재생 시간은 3초에서 30초 사이여야 합니다. +* `character_orientation`이 `"image"`로 설정된 경우 `reference_video`의 재생 시간은 3초에서 10초 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 참조 비디오의 동작을 수행하는 캐릭터가 포함된 생성된 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingMotionControl/ko.md) + +--- +**Source fingerprint (SHA-256):** `4159b10496e85ae93f522865494e9bc99ba08bda00df1601bca2314e61fb32df` diff --git a/ko/built-in-nodes/KlingOmniProEditVideoNode.mdx b/ko/built-in-nodes/KlingOmniProEditVideoNode.mdx new file mode 100644 index 000000000..0698d66eb --- /dev/null +++ b/ko/built-in-nodes/KlingOmniProEditVideoNode.mdx @@ -0,0 +1,40 @@ +--- +title: "KlingOmniProEditVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingOmniProEditVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingOmniProEditVideoNode" +icon: "circle" +mode: wide +--- +Kling Omni Edit Video (Pro) 노드는 텍스트 설명을 기반으로 AI 모델을 사용하여 기존 비디오를 편집합니다. 소스 비디오와 프롬프트를 제공하면 노드가 요청된 변경 사항이 적용된 동일한 길이의 새 비디오를 생성합니다. 선택적으로 참조 이미지를 사용하여 스타일을 안내하고 소스 비디오의 원본 오디오를 유지할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model_name` | 비디오 편집에 사용할 AI 모델입니다 (기본값: `"kling-v3-omni"`). | COMBO | 예 | `"kling-v3-omni"`
`"kling-video-o1"` | +| `프롬프트` | 비디오 콘텐츠를 설명하는 텍스트 프롬프트입니다. 긍정적 설명과 부정적 설명을 모두 포함할 수 있습니다. | STRING | 예 | | +| `비디오` | 편집할 비디오입니다. 출력 비디오 길이는 동일합니다. | VIDEO | 예 | | +| `원본 사운드 유지` | 입력 비디오의 원본 오디오를 출력에 유지할지 여부를 결정합니다 (기본값: True). | BOOLEAN | 예 | | +| `참조 이미지` | 최대 4개의 추가 참조 이미지입니다. | IMAGE | 아니요 | | +| `해상도` | 출력 비디오의 해상도입니다 (기본값: `"1080p"`). | COMBO | 아니요 | `"1080p"`
`"720p"` | +| `시드` | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다 (기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | + +**제약 사항 및 한계:** + +* `prompt`는 1자에서 2500자 사이여야 합니다. +* 입력 `video`의 길이는 3.0초에서 10.05초 사이여야 합니다. +* 입력 `video`의 크기는 720x720픽셀에서 2160x2160픽셀 사이여야 합니다. +* 비디오를 사용할 경우 최대 4개의 `reference_images`를 제공할 수 있습니다. +* 각 `reference_image`는 최소 300x300픽셀 이상이어야 합니다. +* 각 `reference_image`의 종횡비는 1:2.5에서 2.5:1 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오` | AI 모델이 생성한 편집된 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `ddc3fdc8c97cdcdd34f16a0916b13ffe6adeb46e58e2933516c9a6aef7c36730` diff --git a/ko/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx b/ko/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx new file mode 100644 index 000000000..51d68dea9 --- /dev/null +++ b/ko/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx @@ -0,0 +1,49 @@ +--- +title: "KlingOmniProFirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingOmniProFirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingOmniProFirstLastFrameNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md) + +이 노드는 최신 Kling AI 모델을 사용하여 시작 프레임, 선택적 종료 프레임 또는 참조 이미지로부터 비디오를 생성합니다. 단일 비디오 또는 각 세그먼트에 개별 프롬프트와 지속 시간을 적용한 멀티샷 스토리보드를 만들 수 있습니다. 이 노드는 이러한 입력을 처리하여 지정된 길이와 해상도의 비디오를 생성하며, 선택적으로 오디오를 생성할 수도 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model_name` | 비디오 생성에 사용할 특정 Kling AI 모델입니다. | COMBO | 예 | `"kling-v3-omni"`
`"kling-video-o1"` | +| `프롬프트` | 비디오 콘텐츠를 설명하는 텍스트 프롬프트입니다. 긍정적 설명과 부정적 설명을 모두 포함할 수 있습니다. 스토리보드가 활성화되면 무시됩니다. | STRING | 예 | - | +| `지속 시간` | 생성된 비디오의 원하는 길이(초)입니다(기본값: 5). | INT | 예 | 3 ~ 15 | +| `시작 프레임` | 비디오 시퀀스의 시작 이미지입니다. | IMAGE | 예 | - | +| `종료 프레임` | 비디오의 선택적 종료 프레임입니다. `참조 이미지`와 동시에 사용할 수 없습니다. 스토리보드와는 호환되지 않습니다. | IMAGE | 아니요 | - | +| `참조 이미지` | 최대 6개의 추가 참조 이미지입니다. | IMAGE | 아니요 | - | +| `해상도` | 생성된 비디오의 출력 해상도입니다(기본값: "1080p"). | COMBO | 아니요 | `"4k"`
`"1080p"`
`"720p"` | +| `스토리보드` | 개별 프롬프트와 지속 시간을 가진 일련의 비디오 세그먼트를 생성합니다. `kling-v3-omni`에서만 지원됩니다. 활성화되면 각 스토리보드에 프롬프트와 지속 시간 입력이 필요합니다. | DYNAMIC_COMBO | 아니요 | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | +| `오디오 생성` | 비디오에 오디오를 생성합니다(기본값: False). `kling-v3-omni`에서만 지원됩니다. | BOOLEAN | 아니요 | True / False | +| `시드` | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다(기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | + +**중요 제약 사항:** + +* `end_frame` 입력은 `reference_images` 입력과 동시에 사용할 수 없습니다. +* `end_frame` 입력은 스토리보드와 동시에 사용할 수 없습니다. +* `kling-video-o1` 모델은 10초를 초과하는 지속 시간, 오디오 생성, 4k 해상도 또는 스토리보드를 지원하지 않습니다. +* `kling-video-o1` 모델에서 `end_frame` 또는 `reference_images`를 제공하지 않는 경우, `duration`은 5초 또는 10초로만 설정할 수 있습니다. +* 모든 입력 이미지(`first_frame`, `end_frame` 및 모든 `reference_images`)는 가로와 세로 모두 최소 300픽셀 이상이어야 합니다. +* 모든 입력 이미지의 종횡비는 1:2.5에서 2.5:1 사이여야 합니다. +* `reference_images` 입력을 통해 최대 6개의 이미지를 제공할 수 있습니다. +* `prompt` 텍스트는 1자에서 2500자 사이여야 합니다(스토리보드가 활성화된 경우 0자 허용). +* 스토리보드가 활성화된 경우, 모든 스토리보드 세그먼트의 총 지속 시간은 전체 `duration` 값과 일치해야 합니다. +* 각 스토리보드 프롬프트는 1자에서 512자 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `bd0fb11242b7f79062079b1aa48c3524abf59ecf06a90f013e57b6910cd8e224` diff --git a/ko/built-in-nodes/KlingOmniProImageNode.mdx b/ko/built-in-nodes/KlingOmniProImageNode.mdx new file mode 100644 index 000000000..5824a1503 --- /dev/null +++ b/ko/built-in-nodes/KlingOmniProImageNode.mdx @@ -0,0 +1,33 @@ +--- +title: "KlingOmniProImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingOmniProImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingOmniProImageNode" +icon: "circle" +mode: wide +--- +# Kling Omni 이미지 (Pro) 노드 + +Kling Omni 이미지 (Pro) 노드는 최신 Kling AI 모델을 사용하여 이미지를 생성하거나 편집합니다. 텍스트 설명을 기반으로 이미지를 생성하며, 필요에 따라 참조 이미지를 사용하여 스타일이나 내용을 안내할 수 있습니다. 이 노드는 외부 API에 요청을 보내고, 해당 API가 작업을 처리한 후 최종 이미지를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model_name` | 이미지 생성에 사용할 특정 Kling AI 모델입니다. | COMBO | 예 | `"kling-v3-omni"`
`"kling-image-o1"` | +| `프롬프트` | 이미지 내용을 설명하는 텍스트 프롬프트입니다. 긍정적 설명과 부정적 설명을 모두 포함할 수 있습니다. 텍스트는 1자에서 2500자 사이여야 합니다. | STRING | 예 | - | +| `해상도` | 생성된 이미지의 목표 해상도입니다. 참고: `kling-image-o1` 모델은 4K 해상도를 지원하지 않습니다. | COMBO | 예 | `"1K"`
`"2K"`
`"4K"` | +| `화면 비율` | 생성된 이미지의 원하는 종횡비(가로 대 세로 비율)입니다. | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"3:2"`
`"2:3"`
`"21:9"` | +| `시리즈 개수` | 이미지 시리즈를 생성합니다. 이 기능은 `kling-image-o1` 모델에서 지원되지 않습니다. (기본값: "disabled") | COMBO | 예 | `"disabled"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"` | +| `참조 이미지` | 최대 10개의 추가 참조 이미지입니다. 각 이미지는 가로와 세로 모두 최소 300픽셀이어야 하며, 종횡비는 1:2.5에서 2.5:1 사이여야 합니다. | IMAGE | 아니요 | - | +| `시드` | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다. (기본값: 0) | INT | 아니요 | 0 ~ 2147483647 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | Kling AI 모델이 생성하거나 편집한 최종 이미지입니다. 시리즈가 요청된 경우 여러 이미지가 배치로 반환됩니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `7bbed260436bc60e284c99e091cd28b2b0cf50e98e876f94278f1ac2834e61f8` diff --git a/ko/built-in-nodes/KlingOmniProImageToVideoNode.mdx b/ko/built-in-nodes/KlingOmniProImageToVideoNode.mdx new file mode 100644 index 000000000..907d0732d --- /dev/null +++ b/ko/built-in-nodes/KlingOmniProImageToVideoNode.mdx @@ -0,0 +1,43 @@ +--- +title: "KlingOmniProImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingOmniProImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingOmniProImageToVideoNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md) + +이 노드는 Kling AI 모델을 사용하여 텍스트 프롬프트와 최대 7개의 참조 이미지를 기반으로 비디오를 생성합니다. 비디오의 화면 비율, 길이, 해상도를 제어할 수 있으며, 선택적으로 스토리보드를 사용하거나 오디오를 생성할 수 있습니다. 이 노드는 외부 API에 요청을 전송하고 생성된 비디오를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model_name` | 비디오 생성에 사용할 특정 Kling 모델입니다(기본값: "kling-v3-omni"). | COMBO | 예 | `"kling-v3-omni"`
`"kling-video-o1"` | +| `프롬프트` | 비디오 콘텐츠를 설명하는 텍스트 프롬프트입니다. 긍정적 설명과 부정적 설명을 모두 포함할 수 있습니다. 텍스트는 자동으로 정규화되며 1자에서 2500자 사이여야 합니다. 스토리보드가 활성화되면 무시됩니다. | STRING | 예 | - | +| `화면 비율` | 생성된 비디오의 원하는 화면 비율입니다. | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"` | +| `지속 시간` | 비디오 길이(초)입니다. 슬라이더로 값을 조정할 수 있습니다(기본값: 5). | INT | 예 | 3 ~ 15 | +| `참조 이미지` | 최대 7개의 참조 이미지입니다. 각 이미지는 최소 300x300픽셀이어야 하며 화면 비율이 1:2.5에서 2.5:1 사이여야 합니다. | IMAGE | 예 | - | +| `해상도` | 비디오의 출력 해상도입니다. 이 매개변수는 선택 사항입니다(기본값: "1080p"). | COMBO | 아니요 | `"4k"`
`"1080p"`
`"720p"` | +| `스토리보드` | 개별 프롬프트와 길이를 가진 일련의 비디오 세그먼트를 생성합니다. `kling-v3-omni`에서만 지원됩니다. 활성화되면 전체 `프롬프트`는 무시되며, 모든 스토리보드 세그먼트의 총 길이는 전체 `지속 시간`과 같아야 합니다. | DYNAMIC_COMBO | 아니요 | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | +| `오디오 생성` | 비디오에 오디오를 생성합니다. `kling-v3-omni`에서만 지원됩니다(기본값: false). | BOOLEAN | 아니요 | `true`
`false` | +| `시드` | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다(기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | + +**참고:** `reference_images` 입력은 최대 7개의 이미지를 허용합니다. 더 많은 이미지가 제공되면 노드에서 오류가 발생합니다. 각 이미지는 최소 크기와 화면 비율에 대해 검증됩니다. + +**모델별 제약 사항:** +- `kling-video-o1`은 10초를 초과하는 길이를 지원하지 않습니다. +- `kling-video-o1`은 오디오 생성을 지원하지 않습니다. +- `kling-video-o1`은 4k 해상도를 지원하지 않습니다. +- `kling-video-o1`은 스토리보드를 지원하지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `80f4568be81b23c75bfff2bd3f21a61b242563c3c9fb1985a03e76ace24dceb2` diff --git a/ko/built-in-nodes/KlingOmniProTextToVideoNode.mdx b/ko/built-in-nodes/KlingOmniProTextToVideoNode.mdx new file mode 100644 index 000000000..0b22c8689 --- /dev/null +++ b/ko/built-in-nodes/KlingOmniProTextToVideoNode.mdx @@ -0,0 +1,49 @@ +--- +title: "KlingOmniProTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingOmniProTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingOmniProTextToVideoNode" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 최신 Kling AI 모델을 사용하여 텍스트 설명으로부터 비디오를 생성합니다. 사용자의 프롬프트를 원격 API로 전송하고 생성된 비디오를 반환합니다. 이 노드를 통해 비디오의 길이, 화면 비율, 품질을 제어할 수 있으며, 멀티 샷 스토리보드도 생성할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model_name` | 비디오 생성에 사용할 특정 Kling 모델입니다 (기본값: `"kling-v3-omni"`). | COMBO | 예 | `"kling-v3-omni"`
`"kling-video-o1"` | +| `프롬프트` | 비디오 내용을 설명하는 텍스트 프롬프트입니다. 긍정적 설명과 부정적 설명을 모두 포함할 수 있습니다. 스토리보드가 활성화되면 무시됩니다. | STRING | 예 | 0~2500자 | +| `화면 비율` | 생성할 비디오의 화면 비율 또는 형태입니다. | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"` | +| `지속 시간` | 비디오의 길이(초)입니다 (기본값: 5). | INT | 예 | 3~15초 | +| `해상도` | 비디오의 품질 또는 픽셀 해상도입니다 (기본값: `"1080p"`). | COMBO | 아니요 | `"4k"`
`"1080p"`
`"720p"` | +| `스토리보드` | 개별 프롬프트와 지속 시간으로 구성된 일련의 비디오 세그먼트를 생성합니다. o1 모델에서는 무시됩니다. | DYNAMIC_COMBO | 아니요 | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | +| `오디오 생성` | 비디오에 오디오를 생성할지 여부입니다 (기본값: False). | BOOLEAN | 아니요 | True / False | +| `시드` | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다 (기본값: 0). | INT | 아니요 | 0~2147483647 | + +### 매개변수 제약 조건 및 제한 사항 + +- **모델별 제한 사항:** + - `kling-video-o1` 모델은 **5초 또는 10초**의 지속 시간만 지원합니다. + - `kling-video-o1` 모델은 오디오 생성을 **지원하지 않습니다**. + - `kling-video-o1` 모델은 4k 해상도를 **지원하지 않습니다**. + - `kling-video-o1` 모델은 스토리보드를 **지원하지 않습니다**. +- **스토리보드 제약 조건:** + - 스토리보드가 활성화되면 `prompt` 필드는 무시됩니다. + - 각 스토리보드에는 자체 프롬프트(1~512자)와 지속 시간이 필요합니다. + - 모든 스토리보드의 총 지속 시간은 전체 `duration` 매개변수와 정확히 일치해야 합니다. +- **프롬프트 요구 사항:** + - 스토리보드가 **비활성화**된 경우 `prompt` 필드는 필수입니다 (최소 1자). + - 스토리보드가 **활성화**된 경우 `prompt` 필드는 비워둘 수 있습니다 (0자). + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 제공된 텍스트 프롬프트와 설정을 기반으로 생성된 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `2f867e0bd2e7b0ec901a9ad8d2adcfe712ed479c1613b80f86af3a20863e9f4c` diff --git a/ko/built-in-nodes/KlingOmniProVideoToVideoNode.mdx b/ko/built-in-nodes/KlingOmniProVideoToVideoNode.mdx new file mode 100644 index 000000000..2a3db240a --- /dev/null +++ b/ko/built-in-nodes/KlingOmniProVideoToVideoNode.mdx @@ -0,0 +1,42 @@ +--- +title: "KlingOmniProVideoToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingOmniProVideoToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingOmniProVideoToVideoNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md) + +이 노드는 Kling AI 모델을 사용하여 입력 비디오와 선택적 참조 이미지를 기반으로 새로운 비디오를 생성합니다. 원하는 콘텐츠를 설명하는 텍스트 프롬프트를 제공하면 노드가 참조 비디오를 그에 맞게 변환합니다. 또한 최대 4개의 추가 참조 이미지를 통합하여 출력의 스타일과 콘텐츠를 안내할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model_name` | 비디오 생성에 사용할 특정 Kling 모델입니다(기본값: "kling-v3-omni"). | COMBO | 예 | `"kling-v3-omni"`
`"kling-video-o1"` | +| `프롬프트` | 비디오 콘텐츠를 설명하는 텍스트 프롬프트입니다. 긍정적 설명과 부정적 설명을 모두 포함할 수 있습니다. | STRING | 예 | 해당 없음 | +| `종횡비` | 생성된 비디오의 원하는 화면 비율입니다. | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"` | +| `길이` | 생성된 비디오의 길이(초)입니다(기본값: 3). | INT | 예 | 3~10 | +| `참조 비디오` | 참조로 사용할 비디오입니다. | VIDEO | 예 | 해당 없음 | +| `원본 사운드 유지` | 출력에서 참조 비디오의 오디오를 유지할지 여부를 결정합니다(기본값: True). | BOOLEAN | 예 | 해당 없음 | +| `참조 이미지` | 최대 4개의 추가 참조 이미지입니다. | IMAGE | 아니요 | 해당 없음 | +| `해상도` | 생성된 비디오의 해상도입니다(기본값: "1080p"). | COMBO | 아니요 | `"1080p"`
`"720p"` | +| `시드` | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다(기본값: 0). | INT | 아니요 | 0~2147483647 | + +**매개변수 제약 조건:** + +* `prompt`는 1자에서 2500자 사이여야 합니다. +* `reference_video`의 길이는 3.0초에서 10.05초 사이여야 합니다. +* `reference_video`의 크기는 720x720픽셀에서 2160x2160픽셀 사이여야 합니다. +* 최대 4개의 `reference_images`를 제공할 수 있습니다. 각 이미지는 최소 300x300픽셀이어야 하며 화면 비율이 1:2.5에서 2.5:1 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 새로 생성된 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `1bed976530603bcf7db67048e89ad6adac218fba8597744f8ece3e16a2ee4993` diff --git a/ko/built-in-nodes/KlingSingleImageVideoEffectNode.mdx b/ko/built-in-nodes/KlingSingleImageVideoEffectNode.mdx new file mode 100644 index 000000000..0e7882dea --- /dev/null +++ b/ko/built-in-nodes/KlingSingleImageVideoEffectNode.mdx @@ -0,0 +1,34 @@ +--- +title: "KlingSingleImageVideoEffectNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingSingleImageVideoEffectNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingSingleImageVideoEffectNode" +icon: "circle" +mode: wide +--- +# Kling 단일 이미지 비디오 효과 노드 + +Kling 단일 이미지 비디오 효과 노드는 단일 참조 이미지를 기반으로 다양한 특수 효과가 적용된 비디오를 생성합니다. 다양한 시각적 효과와 장면을 적용하여 정적 이미지를 동적 비디오 콘텐츠로 변환합니다. 이 노드는 다양한 효과 장면, 모델 옵션 및 비디오 길이를 지원하여 원하는 시각적 결과를 얻을 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 참조 이미지. URL 또는 Base64로 인코딩된 문자열(data:image 접두사 제외). 파일 크기는 10MB를 초과할 수 없으며, 해상도는 300x300px 이상, 종횡비는 1:2.5에서 2.5:1 사이여야 합니다 | IMAGE | 예 | - | +| `효과 장면` | 비디오 생성에 적용할 특수 효과 장면의 유형입니다. 일부 효과는 가격이 다를 수 있습니다. | COMBO | 예 | `"dizzydizzy"`
`"bloombloom"`
`"neon"`
`"cartoon"`
`"sketch"`
`"oil"`
`"watercolor"`
`"3d"` | +| `모델 명` | 비디오 효과 생성에 사용할 특정 모델 버전입니다. | COMBO | 예 | `"kling-v1-5"`
`"kling-v1-6"` | +| `길이` | 생성된 비디오의 길이(초)입니다. | COMBO | 예 | `"5"`
`"10"` | + +**참고:** `effect_scene` 매개변수는 노드의 가격에 영향을 미칩니다. `dizzydizzy` 및 `bloombloom` 효과는 생성당 0.49 USD이며, 다른 모든 효과는 생성당 0.28 USD입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오 ID` | 효과가 적용된 생성된 비디오 | VIDEO | +| `길이` | 생성된 비디오의 고유 식별자 | STRING | +| `길이` | 생성된 비디오의 길이 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `519db2f7185f200140c746bdebf89383523e0342bbfb61538adac063295d365d` diff --git a/ko/built-in-nodes/KlingStartEndFrameNode.mdx b/ko/built-in-nodes/KlingStartEndFrameNode.mdx new file mode 100644 index 000000000..c4bea8a24 --- /dev/null +++ b/ko/built-in-nodes/KlingStartEndFrameNode.mdx @@ -0,0 +1,42 @@ +--- +title: "KlingStartEndFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingStartEndFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingStartEndFrameNode" +icon: "circle" +mode: wide +--- +# Kling 시작-종료 프레임 비디오 노드 + +Kling 시작-종료 프레임 비디오 노드는 제공된 시작 이미지와 종료 이미지 사이를 전환하는 비디오 시퀀스를 생성합니다. 첫 번째 프레임에서 마지막 프레임까지 부드러운 변환을 위해 중간의 모든 프레임을 생성합니다. 이 노드는 이미지-투-비디오 API를 호출하지만 `image_tail` 요청 필드와 함께 작동하는 입력 옵션만 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `시작 프레임` | 참조 이미지 - URL 또는 Base64로 인코딩된 문자열, 10MB를 초과할 수 없으며, 해상도는 300*300px 이상이어야 하고, 종횡비는 1:2.5 ~ 2.5:1 사이여야 합니다. Base64에는 data:image 접두사가 포함되지 않아야 합니다. | IMAGE | 예 | - | +| `끝 프레임` | 참조 이미지 - 종료 프레임 제어. URL 또는 Base64로 인코딩된 문자열, 10MB를 초과할 수 없으며, 해상도는 300*300px 이상이어야 합니다. Base64에는 data:image 접두사가 포함되지 않아야 합니다. | IMAGE | 예 | - | +| `프롬프트` | 긍정 텍스트 프롬프트 | STRING | 예 | - | +| `부정 프롬프트` | 부정 텍스트 프롬프트 | STRING | 예 | - | +| `cfg 스케일` | 프롬프트 안내 강도를 제어합니다 (기본값: 0.5) | FLOAT | 아니요 | 0.0-1.0 | +| `종횡비` | 생성된 비디오의 종횡비입니다 (기본값: "16:9") | COMBO | 아니요 | "16:9"
"9:16"
"1:1" | +| `모드` | 비디오 생성에 사용할 구성으로, 형식은 mode / duration / model_name을 따릅니다. (기본값: 사용 가능한 모드 중 일곱 번째 옵션) | COMBO | 아니요 | 여러 옵션 사용 가능 | + +**이미지 제약 조건:** + +- `start_frame`과 `end_frame`은 모두 제공되어야 하며 파일 크기가 10MB를 초과할 수 없습니다 +- 최소 해상도: 두 이미지 모두 300×300 픽셀 이상 +- `start_frame`의 종횡비는 1:2.5에서 2.5:1 사이여야 합니다 +- Base64로 인코딩된 이미지에는 "data:image" 접두사가 포함되지 않아야 합니다 + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오 ID` | 생성된 비디오 시퀀스 | VIDEO | +| `길이` | 생성된 비디오의 고유 식별자 | STRING | +| `duration` | 생성된 비디오의 재생 시간 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingStartEndFrameNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `1df5820b4f41ccd5afec8e2701888d90c940f164c433c7f81397b41e8fc333c6` diff --git a/ko/built-in-nodes/KlingTextToVideoNode.mdx b/ko/built-in-nodes/KlingTextToVideoNode.mdx new file mode 100644 index 000000000..c09ae1126 --- /dev/null +++ b/ko/built-in-nodes/KlingTextToVideoNode.mdx @@ -0,0 +1,33 @@ +--- +title: "KlingTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingTextToVideoNode" +icon: "circle" +mode: wide +--- +## 개요 + +Kling 텍스트-비디오 노드는 텍스트 설명을 비디오 콘텐츠로 변환합니다. 텍스트 프롬프트를 입력받아 지정된 구성 설정에 따라 해당하는 비디오 시퀀스를 생성합니다. 이 노드는 다양한 화면 비율과 생성 모드를 지원하여 서로 다른 길이와 품질의 비디오를 제작할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 긍정 텍스트 프롬프트 | STRING | 예 | - | +| `부정 프롬프트` | 부정 텍스트 프롬프트 | STRING | 예 | - | +| `cfg 스케일` | 구성 스케일 값 (기본값: 1.0) | FLOAT | 아니요 | 0.0 ~ 1.0 | +| `종횡비` | 비디오 화면 비율 설정 (기본값: "16:9") | COMBO | 아니요 | KlingVideoGenAspectRatio 옵션 | +| `모드` | 비디오 생성에 사용할 구성으로, 형식은 다음과 같습니다: 모드 / 지속 시간 / 모델_이름. (기본값: modes[8]) | COMBO | 아니요 | 여러 옵션 사용 가능 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오 ID` | 생성된 비디오 출력 | VIDEO | +| `길이` | 생성된 비디오의 고유 식별자 | STRING | +| `duration` | 생성된 비디오의 지속 시간 정보 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `467f89a47890bfbfe6cebac8897fef3bce37d888d3419b248d13be89bed442f3` diff --git a/ko/built-in-nodes/KlingTextToVideoWithAudio.mdx b/ko/built-in-nodes/KlingTextToVideoWithAudio.mdx new file mode 100644 index 000000000..4c9b80e84 --- /dev/null +++ b/ko/built-in-nodes/KlingTextToVideoWithAudio.mdx @@ -0,0 +1,34 @@ +--- +title: "KlingTextToVideoWithAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingTextToVideoWithAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingTextToVideoWithAudio" +icon: "circle" +mode: wide +--- +다음은 제공된 영어 문서를 번역 규칙에 따라 한국어로 번역한 결과입니다. + +--- + +Kling Text to Video with Audio 노드는 텍스트 설명으로부터 짧은 비디오를 생성합니다. 이 노드는 Kling AI 서비스에 요청을 보내며, 서비스는 프롬프트를 처리하고 비디오 파일을 반환합니다. 또한 노드는 텍스트를 기반으로 비디오에 맞는 오디오를 함께 생성할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model_name` | 비디오 생성에 사용할 특정 AI 모델입니다. | COMBO | 예 | `"kling-v2-6"` | +| `프롬프트` | 긍정 텍스트 프롬프트입니다. 비디오 생성을 위해 사용되는 설명입니다. 1자에서 2500자 사이여야 합니다. | STRING | 예 | - | +| `모드` | 비디오 생성을 위한 작동 모드입니다. | COMBO | 예 | `"pro"` | +| `종횡비` | 생성된 비디오의 원하는 가로 세로 비율입니다. | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"` | +| `길이` | 비디오의 길이(초)입니다. | COMBO | 예 | `5`
`10` | +| `오디오 생성` | 비디오에 오디오를 생성할지 여부를 제어합니다. 활성화되면 AI가 프롬프트를 기반으로 사운드를 만듭니다. (기본값: `True`) | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `eff4549816c347a090e2f6e8ae8ba832bd2c5b7aef7c729b51c9d72b7a814d5a` diff --git a/ko/built-in-nodes/KlingVideoExtendNode.mdx b/ko/built-in-nodes/KlingVideoExtendNode.mdx new file mode 100644 index 000000000..53365c794 --- /dev/null +++ b/ko/built-in-nodes/KlingVideoExtendNode.mdx @@ -0,0 +1,34 @@ +--- +title: "KlingVideoExtendNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingVideoExtendNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingVideoExtendNode" +icon: "circle" +mode: wide +--- +# Kling 비디오 확장 노드 + +Kling 비디오 확장 노드는 다른 Kling 노드에서 생성된 비디오를 확장할 수 있게 해줍니다. 비디오 ID로 식별되는 기존 비디오를 가져와 텍스트 프롬프트를 기반으로 추가 콘텐츠를 생성합니다. 이 노드는 확장 요청을 Kling API로 전송하고, 확장된 비디오와 함께 새로운 ID 및 재생 시간을 반환하는 방식으로 작동합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 비디오 확장을 안내하는 긍정 텍스트 프롬프트 | STRING | 아니요 | - | +| `부정 프롬프트` | 확장된 비디오에서 제외할 요소에 대한 부정 텍스트 프롬프트 | STRING | 아니요 | - | +| `cfg 스케일` | 프롬프트 안내 강도를 제어합니다 (기본값: 0.5) | FLOAT | 아니요 | 0.0 - 1.0 | +| `비디오 ID` | 확장할 비디오의 ID입니다. 텍스트-비디오, 이미지-비디오 및 이전 비디오 확장 작업으로 생성된 비디오를 지원합니다. 확장 후 총 재생 시간이 3분을 초과할 수 없습니다. | STRING | 예 | - | + +**참고:** `video_id`는 다른 Kling 노드에서 생성된 비디오를 참조해야 하며, 확장 후 총 재생 시간은 3분을 초과할 수 없습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오 ID` | Kling API에 의해 생성된 확장된 비디오 | VIDEO | +| `길이` | 확장된 비디오의 고유 식별자 | STRING | +| `duration` | 확장된 비디오의 재생 시간 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoExtendNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `ecef4aedffe83bf384f2f9c3d8840f3fcab4b8c21e6e9afb36e177abb6f069fd` diff --git a/ko/built-in-nodes/KlingVideoNode.mdx b/ko/built-in-nodes/KlingVideoNode.mdx new file mode 100644 index 000000000..419ccb793 --- /dev/null +++ b/ko/built-in-nodes/KlingVideoNode.mdx @@ -0,0 +1,47 @@ +--- +title: "KlingVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingVideoNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoNode/en.md) + +이 노드는 Kling V3 모델을 사용하여 비디오를 생성합니다. 텍스트 설명으로 비디오를 만드는 텍스트-비디오 모드와 기존 이미지에 애니메이션을 적용하는 이미지-비디오 모드, 두 가지 주요 모드를 지원합니다. 또한 각 부분에 대해 서로 다른 프롬프트를 사용하여 여러 세그먼트로 구성된 비디오(스토리보드)를 만들고 선택적으로 오디오를 생성하는 고급 기능도 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `멀티 샷` | 단일 비디오를 생성할지, 아니면 개별 프롬프트와 지속 시간을 가진 일련의 세그먼트를 생성할지 제어합니다. "비활성화"가 아닌 경우 각 스토리보드의 프롬프트와 지속 시간에 대한 추가 입력이 나타납니다. | COMBO | 예 | `"비활성화"`
`"1개 스토리보드"`
`"2개 스토리보드"`
`"3개 스토리보드"`
`"4개 스토리보드"`
`"5개 스토리보드"`
`"6개 스토리보드"` | +| `오디오 생성` | 활성화하면 노드가 비디오에 대한 오디오를 생성합니다. 기본값은 `True`입니다. | BOOLEAN | 예 | `True` / `False` | +| `모델` | 모델 및 관련 설정입니다. 이 옵션을 선택하면 `resolution` 및 `aspect_ratio` 하위 매개변수가 표시됩니다. | COMBO | 예 | `"kling-v3"` | +| `model.resolution` | 생성된 비디오의 해상도입니다. 이 설정은 `모델`이 "kling-v3"로 설정된 경우 사용 가능합니다. | COMBO | 예 | `"4k"`
`"1080p"`
`"720p"` | +| `model.aspect_ratio` | 생성된 비디오의 화면 비율입니다. `시작 프레임`(이미지-비디오 모드)에 이미지가 제공된 경우 이 설정은 무시됩니다. `모델`이 "kling-v3"로 설정된 경우 사용 가능합니다. | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"` | +| `시드` | 생성을 위한 시드 값입니다. 이 값을 변경하면 노드가 다시 실행되지만 결과는 비결정적입니다. 기본값은 `0`입니다. | INT | 예 | 0 ~ 2147483647 | +| `시작 프레임` | 선택적 시작 이미지입니다. 연결되면 노드가 텍스트-비디오 모드에서 이미지-비디오 모드로 전환되어 제공된 이미지에 애니메이션을 적용합니다. | IMAGE | 아니요 | - | + +**`multi_shot` 모드의 입력:** + +* `multi_shot`이 **"비활성화"** 로 설정된 경우 다음 입력이 나타납니다. + * `prompt` (STRING): 비디오에 대한 주요 텍스트 설명입니다. 필수입니다. 1자에서 2500자 사이여야 합니다. + * `negative_prompt` (STRING): 비디오에 나타나지 않아야 할 내용을 설명하는 텍스트입니다. 선택 사항입니다. + * `duration` (INT): 비디오 길이(초)입니다. 3초에서 15초 사이여야 합니다. 기본값은 `5`입니다. +* `multi_shot`이 스토리보드 옵션(예: `"3개 스토리보드"`)으로 설정된 경우 각 스토리보드 세그먼트에 대한 입력(예: `storyboard_1_prompt`, `storyboard_1_duration`)이 나타납니다. 각 프롬프트는 1자에서 512자 사이여야 합니다. **모든 스토리보드 지속 시간의 총합**은 3초에서 15초 사이여야 합니다. + +**제약 조건:** + +* `start_frame`이 연결되지 않은 경우 노드는 **텍스트-비디오** 모드로 작동합니다. 이 모드에서는 `model.aspect_ratio` 설정을 사용합니다. +* `start_frame`이 연결된 경우 노드는 **이미지-비디오** 모드로 작동합니다. `model.aspect_ratio` 설정은 무시됩니다. 입력 이미지는 최소 300x300픽셀이어야 하며 화면 비율이 1:2.5에서 2.5:1 사이여야 합니다. +* 스토리보드 모드(`multi_shot`이 "비활성화"가 아님)에서는 기본 `prompt` 및 `negative_prompt` 입력이 숨겨지고 사용되지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `video` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `f7f827d657b1d057d273eba3215ce6848d3ea05c5f348e2f3fccccfdd030dfc3` diff --git a/ko/built-in-nodes/KlingVirtualTryOnNode.mdx b/ko/built-in-nodes/KlingVirtualTryOnNode.mdx new file mode 100644 index 000000000..a757206c6 --- /dev/null +++ b/ko/built-in-nodes/KlingVirtualTryOnNode.mdx @@ -0,0 +1,29 @@ +--- +title: "KlingVirtualTryOnNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingVirtualTryOnNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingVirtualTryOnNode" +icon: "circle" +mode: wide +--- +# Kling 가상 피팅 노드 + +인물 이미지와 의류 이미지를 입력하여 인물에게 해당 의류를 입혀 보는 기능을 제공합니다. 여러 개의 의류 항목 이미지를 흰색 배경의 하나의 이미지로 병합할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `사람 이미지` | 의류를 입혀 볼 인물 이미지 | IMAGE | 예 | - | +| `의상 이미지` | 인물에게 입혀 볼 의류 이미지 | IMAGE | 예 | - | +| `모델 명` | 사용할 가상 피팅 모델 (기본값: "kolors-virtual-try-on-v1") | STRING | 예 | `"kolors-virtual-try-on-v1"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 의류가 입혀진 인물의 결과 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `bfd0da440d3ad85e15ce16851313f2e75421a8a3eb5e4c651350432955afc731` diff --git a/ko/built-in-nodes/Krea2ImageNode.mdx b/ko/built-in-nodes/Krea2ImageNode.mdx new file mode 100644 index 000000000..d882db90c --- /dev/null +++ b/ko/built-in-nodes/Krea2ImageNode.mdx @@ -0,0 +1,46 @@ +--- +title: "Krea2ImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Krea2ImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Krea2ImageNode" +icon: "circle" +mode: wide +--- +# 개요 + +Krea 2 이미지 노드는 Krea 2 AI 모델을 사용하여 이미지를 생성합니다. 표현력이 풍부한 일러스트레이션에 적합한 Medium과 표현력이 풍부한 포토리얼리즘에 적합한 Large의 두 가지 모델 변형을 지원합니다. 선택적으로 무드보드와 최대 10개의 이미지 스타일 참조를 포함하여 생성된 이미지에 영향을 줄 수 있습니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 이미지 생성을 위한 텍스트 프롬프트입니다. | STRING | 예 | 해당 없음 | +| `모델` | Krea 2 Medium은 표현력이 풍부한 일러스트레이션에 가장 적합하며, Krea 2 Large는 표현력이 풍부한 포토리얼리즘에 가장 적합합니다. | DICT | 예 | 아래 참조 | +| `시드` | 재현성을 위한 무작위 시드입니다(기본값: 0). | INT | 예 | 0 ~ 2147483647 | + +`model` 매개변수는 다음과 같은 하위 매개변수를 포함하는 딕셔너리입니다: + +| 하위 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | Krea 2 모델 변형을 선택합니다. | STRING | 예 | `"krea 2 medium"`
`"krea 2 large"` | +| `aspect_ratio` | 생성된 이미지의 종횡비입니다. | STRING | 예 | 해당 없음 | +| `resolution` | 생성된 이미지의 해상도입니다. | STRING | 예 | 해당 없음 | +| `creativity` | 생성의 창의성 수준을 제어합니다. | FLOAT | 예 | 해당 없음 | +| `moodboard_id` | 이미지에 영향을 주는 Krea 무드보드의 UUID입니다. 유효한 UUID여야 합니다. | STRING | 아니요 | 해당 없음 | +| `moodboard_strength` | 무드보드 영향의 강도입니다(기본값: 0.35). | FLOAT | 아니요 | 해당 없음 | +| `style_reference` | 이미지 스타일 참조 목록입니다. 각 참조에는 `url`(STRING)과 `strength`(FLOAT)가 있어야 합니다. | LIST | 아니요 | 0 ~ 10개 항목 | + +**제약 사항:** +- `moodboard_id`는 유효한 UUID여야 합니다(예: `"123e4567-e89b-12d3-a456-426614174000"`). Krea 웹사이트에서 복사하세요. +- `style_reference`는 최대 10개의 이미지 스타일 참조를 허용합니다. +- `prompt`는 최소 1자 이상이어야 합니다. + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 텐서 형태로 생성된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2ImageNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `6aeb2d935ef5df5699a19271c9ceb766892ef4b0e4f67bfa540bf12ffadf362d` diff --git a/ko/built-in-nodes/Krea2StyleReferenceNode.mdx b/ko/built-in-nodes/Krea2StyleReferenceNode.mdx new file mode 100644 index 000000000..a2c73227a --- /dev/null +++ b/ko/built-in-nodes/Krea2StyleReferenceNode.mdx @@ -0,0 +1,35 @@ +--- +title: "Krea2StyleReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Krea2StyleReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Krea2StyleReferenceNode" +icon: "circle" +mode: wide +--- +다음은 요청하신 번역 결과입니다. + +--- + +## 개요 + +Krea 2 스타일 참조 노드는 참조 이미지를 추가하여 Krea 2 이미지 생성의 스타일에 영향을 줄 수 있도록 합니다. 최대 10개의 스타일 참조를 연결하여 결합된 결과를 Krea 2 이미지 노드에 전달할 수 있습니다. 제공된 각 이미지는 ComfyAPI 저장소에 업로드되어 URL로 전달됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 생성 결과의 스타일에 영향을 주는 참조 이미지입니다. | IMAGE | 예 | - | +| `강도` | 참조 강도입니다. 음수 값은 스타일 영향을 반전시킵니다 (기본값: 1.0). | FLOAT | 예 | -2.0 ~ 2.0 (단위: 0.05) | +| `스타일 참조` | 선택적인 기존 스타일 참조 체인입니다. 이 노드는 여기에 하나의 참조를 추가합니다. | STYLE_REF | 아니요 | - | + +**제약 사항 참고:** 총 최대 10개의 스타일 참조만 연결할 수 있습니다. 11번째 참조를 추가하려고 하면 노드에서 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `스타일 참조` | 각각 URL과 강도 값을 포함하는 스타일 참조 항목의 목록입니다. 이 출력을 Krea 2 이미지 노드에 전달하십시오. | STYLE_REF | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2StyleReferenceNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `7f87568a1cd5038571f3188cfb1d71e15533ea19eee01d7826fe574a1a4dc88d` diff --git a/ko/built-in-nodes/LTXAVTextEncoderLoader.mdx b/ko/built-in-nodes/LTXAVTextEncoderLoader.mdx new file mode 100644 index 000000000..2d936a93c --- /dev/null +++ b/ko/built-in-nodes/LTXAVTextEncoderLoader.mdx @@ -0,0 +1,31 @@ +--- +title: "LTXAVTextEncoderLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXAVTextEncoderLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXAVTextEncoderLoader" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/en.md) + +이 노드는 LTXV 오디오 모델용 특수 텍스트 인코더를 로드합니다. 특정 텍스트 인코더 파일과 체크포인트 파일을 결합하여 오디오 관련 텍스트 조건화 작업에 사용할 수 있는 CLIP 모델을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `text_encoder` | 로드할 LTXV 텍스트 인코더 모델의 파일 이름입니다. 사용 가능한 옵션은 `text_encoders` 폴더에서 불러옵니다. | STRING | 예 | 여러 옵션 사용 가능 | +| `ckpt_name` | 로드할 체크포인트의 파일 이름입니다. 사용 가능한 옵션은 `checkpoints` 폴더에서 불러옵니다. | STRING | 예 | 여러 옵션 사용 가능 | +| `device` | 모델을 로드할 장치를 지정합니다. `"cpu"`를 사용하면 CPU에 강제로 로드됩니다. 기본 동작(`"default"`)은 시스템의 자동 장치 배치를 사용합니다. | STRING | 아니요 | `"default"`
`"cpu"` | + +**참고:** `text_encoder`와 `ckpt_name` 매개변수는 함께 작동합니다. 이 노드는 지정된 두 파일을 모두 로드하여 단일하고 기능적인 CLIP 모델을 생성합니다. 파일은 LTXV 아키텍처와 호환되어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `clip` | 로드된 LTXV CLIP 모델로, 오디오 생성을 위한 텍스트 프롬프트 인코딩에 사용할 준비가 되었습니다. | CLIP | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/ko.md) + +--- +**Source fingerprint (SHA-256):** `c072a0b3393aa44333bb15ae42179c50868a4e9d7ca706d6c7da5922625373e6` diff --git a/ko/built-in-nodes/LTXVAddGuide.mdx b/ko/built-in-nodes/LTXVAddGuide.mdx new file mode 100644 index 000000000..83e88c2ba --- /dev/null +++ b/ko/built-in-nodes/LTXVAddGuide.mdx @@ -0,0 +1,37 @@ +--- +title: "LTXVAddGuide - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVAddGuide node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVAddGuide" +icon: "circle" +mode: wide +--- +# LTXVAddGuide 노드 + +LTXVAddGuide 노드는 입력 이미지나 비디오를 VAE 인코더로 처리하여 잠재 시퀀스에 비디오 컨디셔닝 가이던스를 추가하고, 이를 키프레임으로 컨디셔닝 데이터에 통합합니다. 이 노드는 VAE 인코더를 통해 입력을 처리하고, 결과로 생성된 잠재값을 지정된 프레임 위치에 전략적으로 배치하며, 키프레임 정보로 긍정 및 부정 컨디셔닝을 모두 업데이트합니다. 또한 프레임 정렬 제약 조건을 처리하고 컨디셔닝 영향의 강도를 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | 키프레임 가이던스로 수정될 긍정 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `부정 조건` | 키프레임 가이던스로 수정될 부정 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `vae` | 입력 이미지/비디오 프레임 인코딩에 사용되는 VAE 모델 | VAE | 예 | - | +| `잠재 비디오` | 컨디셔닝 프레임을 적용받을 입력 잠재 시퀀스 | LATENT | 예 | - | +| `이미지` | 잠재 비디오를 컨디셔닝할 이미지 또는 비디오. 8*n + 1 프레임이어야 합니다. 비디오가 8*n + 1 프레임이 아닌 경우, 가장 가까운 8*n + 1 프레임으로 잘립니다. | IMAGE | 예 | - | +| `프레임 번호` | 컨디셔닝을 시작할 프레임 인덱스. 단일 프레임 이미지 또는 1~8프레임 비디오의 경우 모든 frame_idx 값이 허용됩니다. 9프레임 이상의 비디오의 경우 frame_idx는 8로 나누어져야 하며, 그렇지 않으면 가장 가까운 8의 배수로 내림 처리됩니다. 음수 값은 비디오 끝에서부터 계산됩니다. (기본값: 0) | INT | 아니요 | -9999 ~ 9999 | +| `강도` | 컨디셔닝 영향의 강도. 1.0은 완전한 컨디셔닝을 적용하고, 0.0은 컨디셔닝을 적용하지 않습니다. (기본값: 1.0) | FLOAT | 아니요 | 0.0 ~ 1.0 | + +**참고:** 입력 이미지/비디오는 8*n + 1 패턴(예: 1, 9, 17, 25프레임)을 따르는 프레임 수를 가져야 합니다. 입력이 이 패턴을 초과하는 경우, 가장 가까운 유효한 프레임 수로 자동으로 잘립니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 키프레임 가이던스 정보로 업데이트된 긍정 컨디셔닝 | CONDITIONING | +| `잠재 비디오` | 키프레임 가이던스 정보로 업데이트된 부정 컨디셔닝 | CONDITIONING | +| `잠재 비디오` | 컨디셔닝 프레임과 업데이트된 노이즈 마스크가 통합된 잠재 시퀀스 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAddGuide/ko.md) + +--- +**Source fingerprint (SHA-256):** `e7f4e6ed25cddd4b50b98341c63fc9915afc4956317ac7a5a9121fdc53c03a2d` diff --git a/ko/built-in-nodes/LTXVAudioVAEDecode.mdx b/ko/built-in-nodes/LTXVAudioVAEDecode.mdx new file mode 100644 index 000000000..2cd79b1e7 --- /dev/null +++ b/ko/built-in-nodes/LTXVAudioVAEDecode.mdx @@ -0,0 +1,28 @@ +--- +title: "LTXVAudioVAEDecode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVAudioVAEDecode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVAudioVAEDecode" +icon: "circle" +mode: wide +--- +LTXV 오디오 VAE 디코드 노드는 오디오의 잠재 표현을 다시 오디오 파형으로 변환합니다. 이 노드는 특수 오디오 VAE 모델을 사용하여 디코딩 과정을 수행하며, 특정 샘플 레이트를 가진 오디오 출력을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `samples` | 디코딩할 잠재 표현입니다. | LATENT | 예 | 해당 없음 | +| `audio_vae` | 잠재 표현 디코딩에 사용되는 오디오 VAE 모델입니다. | VAE | 예 | 해당 없음 | + +**참고:** 제공된 잠재 표현이 중첩된 경우(여러 잠재 표현을 포함하는 경우), 노드는 자동으로 시퀀스의 마지막 잠재 표현을 디코딩에 사용합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `Audio` | 디코딩된 오디오 파형과 관련 샘플 레이트입니다. 파형은 입력 잠재 표현과 동일한 장치로 이동된 텐서이며, 샘플 레이트는 오디오 VAE 모델에 의해 결정됩니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/ko.md) + +--- +**Source fingerprint (SHA-256):** `e9df1da8ca0424cfc7ce97951e65154df845d98c3b73f76725fa657d851a3a07` diff --git a/ko/built-in-nodes/LTXVAudioVAEEncode.mdx b/ko/built-in-nodes/LTXVAudioVAEEncode.mdx new file mode 100644 index 000000000..9a4fcec37 --- /dev/null +++ b/ko/built-in-nodes/LTXVAudioVAEEncode.mdx @@ -0,0 +1,26 @@ +--- +title: "LTXVAudioVAEEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVAudioVAEEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVAudioVAEEncode" +icon: "circle" +mode: wide +--- +LTXV 오디오 VAE 인코딩 노드는 오디오 입력을 받아 지정된 오디오 VAE 모델을 사용하여 더 작은 잠재 표현으로 압축합니다. 이 프로세스는 원시 오디오 데이터를 파이프라인의 다른 노드가 이해하고 처리할 수 있는 형식으로 변환하므로, 잠재 공간 워크플로우 내에서 오디오를 생성하거나 조작하는 데 필수적입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `audio` | 인코딩할 오디오입니다. | AUDIO | 예 | - | +| `audio_vae` | 인코딩에 사용할 오디오 VAE 모델입니다. | VAE | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| 오디오 잠재 표현 | 입력 오디오의 압축된 잠재 표현입니다. 출력에는 잠재 샘플, VAE 모델의 샘플 속도 및 유형 식별자가 포함됩니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEEncode/ko.md) + +--- +**Source fingerprint (SHA-256):** `fc10d8bbdca5150b7c87adb52960b8690397c3d003c89f9ec6a8410c541a347f` diff --git a/ko/built-in-nodes/LTXVAudioVAELoader.mdx b/ko/built-in-nodes/LTXVAudioVAELoader.mdx new file mode 100644 index 000000000..26db61cc5 --- /dev/null +++ b/ko/built-in-nodes/LTXVAudioVAELoader.mdx @@ -0,0 +1,27 @@ +--- +title: "LTXVAudioVAELoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVAudioVAELoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVAudioVAELoader" +icon: "circle" +mode: wide +--- +# LTXV 오디오 VAE 로더 + +LTXV 오디오 VAE 로더 노드는 사전 훈련된 오디오 변분 오토인코더(VAE) 모델을 체크포인트 파일에서 불러옵니다. 지정된 체크포인트를 읽고, 가중치와 메타데이터를 로드한 후, ComfyUI 내에서 오디오 생성 또는 처리 워크플로우에 사용할 수 있도록 모델을 준비합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `ckpt_name` | 로드할 오디오 VAE 체크포인트입니다. ComfyUI `checkpoints` 디렉터리에서 찾은 모든 파일로 구성된 드롭다운 목록입니다. | STRING | 예 | `checkpoints` 폴더 내 모든 파일.
*예시: `"audio_vae.safetensors"`* | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| 오디오 VAE | 로드된 오디오 변분 오토인코더 모델로, 다른 오디오 처리 노드에 연결할 준비가 되었습니다. | VAE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAELoader/ko.md) + +--- +**Source fingerprint (SHA-256):** `44e79f694eed796a83f3ac25c56946baaa12b016568bd8824eb179bf79e50588` diff --git a/ko/built-in-nodes/LTXVConcatAVLatent.mdx b/ko/built-in-nodes/LTXVConcatAVLatent.mdx new file mode 100644 index 000000000..c89e916f9 --- /dev/null +++ b/ko/built-in-nodes/LTXVConcatAVLatent.mdx @@ -0,0 +1,28 @@ +--- +title: "LTXVConcatAVLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVConcatAVLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVConcatAVLatent" +icon: "circle" +mode: wide +--- +LTXVConcatAVLatent 노드는 비디오 잠재 표현과 오디오 잠재 표현을 하나의 결합된 잠재 출력으로 결합합니다. 두 입력의 `samples` 텐서를 병합하고, `noise_mask` 텐서가 있는 경우 함께 병합하여 비디오 생성 파이프라인에서 추가 처리를 준비합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `video_latent` | 비디오 데이터의 잠재 표현입니다. | LATENT | 예 | | +| `audio_latent` | 오디오 데이터의 잠재 표현입니다. | LATENT | 예 | | + +**참고:** `video_latent` 및 `audio_latent` 입력의 `samples` 텐서는 연결됩니다. 입력 중 하나에 `noise_mask`가 포함된 경우 해당 마스크가 사용되며, 하나가 누락된 경우 해당 `samples`와 동일한 형태의 1로 구성된 마스크가 생성됩니다. 그런 다음 결과 마스크도 연결됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 비디오 및 오디오 입력에서 연결된 `samples`와, 해당하는 경우 연결된 `noise_mask`를 포함하는 단일 잠재 딕셔너리입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConcatAVLatent/ko.md) + +--- +**Source fingerprint (SHA-256):** `322d6870f110fb1ef8b472cb49649cc9fff7865f4c7a83fbfd536f1fdfd694f8` diff --git a/ko/built-in-nodes/LTXVConditioning.mdx b/ko/built-in-nodes/LTXVConditioning.mdx new file mode 100644 index 000000000..9a28ced88 --- /dev/null +++ b/ko/built-in-nodes/LTXVConditioning.mdx @@ -0,0 +1,28 @@ +--- +title: "LTXVConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVConditioning" +icon: "circle" +mode: wide +--- +LTXVConditioning 노드는 비디오 생성 모델을 위해 양성 및 음성 조건화 입력에 프레임 속도 정보를 추가합니다. 기존 조건화 데이터를 가져와 지정된 프레임 속도 값을 두 조건화 세트에 적용하여 비디오 모델 처리에 적합하도록 만듭니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | 프레임 속도 정보를 받을 양성 조건화 입력입니다 | CONDITIONING | 예 | - | +| `부정 조건` | 프레임 속도 정보를 받을 음성 조건화 입력입니다 | CONDITIONING | 예 | - | +| `프레임율` | 두 조건화 세트에 적용할 프레임 속도 값입니다 (기본값: 25.0) | FLOAT | 예 | 0.0 - 1000.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 프레임 속도 정보가 적용된 양성 조건화입니다 | CONDITIONING | +| `부정 조건` | 프레임 속도 정보가 적용된 음성 조건화입니다 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConditioning/ko.md) + +--- +**Source fingerprint (SHA-256):** `e8c18b73eb009c1b3ebcc2cb8be3dee4e065d75908607a5cf15d41f89963ee09` diff --git a/ko/built-in-nodes/LTXVCropGuides.mdx b/ko/built-in-nodes/LTXVCropGuides.mdx new file mode 100644 index 000000000..2384c7025 --- /dev/null +++ b/ko/built-in-nodes/LTXVCropGuides.mdx @@ -0,0 +1,29 @@ +--- +title: "LTXVCropGuides - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVCropGuides node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVCropGuides" +icon: "circle" +mode: wide +--- +LTXVCropGuides 노드는 키프레임 정보를 제거하고 잠재 차원을 조정하여 비디오 생성을 위한 컨디셔닝 및 잠재 입력을 처리합니다. 잠재 이미지와 노이즈 마스크를 잘라내어 키프레임 섹션을 제외시키고, 양성 및 음성 컨디셔닝 입력 모두에서 키프레임 인덱스를 제거합니다. 이를 통해 키프레임 가이드가 필요 없는 비디오 생성 워크플로우를 위한 데이터를 준비합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | 생성을 위한 가이드 정보를 포함하는 양성 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `부정 조건` | 생성에서 피해야 할 사항에 대한 가이드 정보를 포함하는 음성 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `잠재 비디오` | 이미지 샘플과 노이즈 마스크 데이터를 포함하는 잠재 표현 | LATENT | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 키프레임 인덱스와 가이드 어텐션 항목이 제거된 처리된 양성 컨디셔닝 | CONDITIONING | +| `잠재 비디오` | 키프레임 인덱스와 가이드 어텐션 항목이 제거된 처리된 음성 컨디셔닝 | CONDITIONING | +| `잠재 비디오` | 키프레임 섹션이 제거되고 샘플과 노이즈 마스크가 조정된 잘라낸 잠재 표현 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVCropGuides/ko.md) + +--- +**Source fingerprint (SHA-256):** `029309c260e09221cc9a046897589d99498f6e8ad984ef6052e50be9a0ea7b6d` diff --git a/ko/built-in-nodes/LTXVEmptyLatentAudio.mdx b/ko/built-in-nodes/LTXVEmptyLatentAudio.mdx new file mode 100644 index 000000000..361f707ce --- /dev/null +++ b/ko/built-in-nodes/LTXVEmptyLatentAudio.mdx @@ -0,0 +1,30 @@ +--- +title: "LTXVEmptyLatentAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVEmptyLatentAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVEmptyLatentAudio" +icon: "circle" +mode: wide +--- +LTXV 빈 잠재 오디오 노드는 빈(0으로 채워진) 잠재 오디오 텐서 배치를 생성합니다. 제공된 오디오 VAE 모델의 구성을 사용하여 채널 수 및 주파수 빈과 같은 잠재 공간의 올바른 차원을 결정합니다. 이 빈 잠재 텐서는 ComfyUI 내에서 오디오 생성 또는 조작 워크플로의 시작점 역할을 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `frames_number` | 프레임 수입니다. 기본값은 97입니다. | INT | 예 | 1 ~ 1000 | +| `frame_rate` | 초당 프레임 수입니다. 기본값은 25입니다. | INT | 예 | 1 ~ 1000 | +| `batch_size` | 배치 내 잠재 오디오 샘플 수입니다. 기본값은 1입니다. | INT | 예 | 1 ~ 4096 | +| `audio_vae` | 구성을 가져올 오디오 VAE 모델입니다. 이 매개변수는 필수입니다. | VAE | 예 | 해당 없음 | + +**참고:** `audio_vae` 입력은 필수입니다. 제공되지 않으면 노드에서 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `Latent` | 입력 오디오 VAE와 일치하도록 구성된 (batch_size, z_channels, num_audio_latents, audio_freq) 구조의 빈 잠재 오디오 텐서입니다. 출력에는 "audio"로 설정된 `type` 필드도 포함됩니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVEmptyLatentAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `1a8bfea98f14de014069016652b39542cfd9290cae2d870ab4e381e46aa1e08f` diff --git a/ko/built-in-nodes/LTXVImgToVideo.mdx b/ko/built-in-nodes/LTXVImgToVideo.mdx new file mode 100644 index 000000000..9898eaea8 --- /dev/null +++ b/ko/built-in-nodes/LTXVImgToVideo.mdx @@ -0,0 +1,35 @@ +--- +title: "LTXVImgToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVImgToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVImgToVideo" +icon: "circle" +mode: wide +--- +LTXVImgToVideo 노드는 입력 이미지를 비디오 생성 모델을 위한 비디오 잠재 표현으로 변환합니다. 단일 이미지를 가져와 VAE 인코더를 사용하여 프레임 시퀀스로 확장한 후, 강도 제어를 통해 조건화를 적용하여 비디오 생성 중 원본 이미지 콘텐츠가 보존되거나 수정되는 정도를 결정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | 비디오 생성을 안내하는 긍정 조건화 프롬프트 | CONDITIONING | 예 | - | +| `부정 조건` | 비디오에서 특정 요소를 회피하기 위한 부정 조건화 프롬프트 | CONDITIONING | 예 | - | +| `vae` | 입력 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - | +| `이미지` | 비디오 프레임으로 변환할 입력 이미지 | IMAGE | 예 | - | +| `너비` | 출력 비디오의 가로 픽셀 크기 (기본값: 768, 단계: 32) | INT | 아니요 | 64 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오의 세로 픽셀 크기 (기본값: 512, 단계: 32) | INT | 아니요 | 64 ~ MAX_RESOLUTION | +| `길이` | 생성된 비디오의 프레임 수 (기본값: 97, 단계: 8) | INT | 아니요 | 9 ~ MAX_RESOLUTION | +| `배치 크기` | 동시에 생성할 비디오 개수 (기본값: 1) | INT | 아니요 | 1 ~ 4096 | +| `강도` | 생성된 비디오의 첫 번째 프레임에서 원본 이미지 콘텐츠가 얼마나 보존될지 제어합니다. 값이 1.0이면 원본 이미지를 완전히 보존하고, 0.0이면 최대한 수정을 허용합니다 (기본값: 1.0) | FLOAT | 아니요 | 0.0 ~ 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 비디오 프레임 마스킹이 적용된 처리된 긍정 조건화 | CONDITIONING | +| `잠재 데이터` | 비디오 프레임 마스킹이 적용된 처리된 부정 조건화 | CONDITIONING | +| `latent` | 비디오 생성을 위한 인코딩된 프레임과 노이즈 마스크를 포함하는 비디오 잠재 표현 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `fbd35623cd71bf917f39108d388986c9604138fbfb9380bdf936deff6d775cb9` diff --git a/ko/built-in-nodes/LTXVImgToVideoInplace.mdx b/ko/built-in-nodes/LTXVImgToVideoInplace.mdx new file mode 100644 index 000000000..dc3412eff --- /dev/null +++ b/ko/built-in-nodes/LTXVImgToVideoInplace.mdx @@ -0,0 +1,31 @@ +--- +title: "LTXVImgToVideoInplace - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVImgToVideoInplace node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVImgToVideoInplace" +icon: "circle" +mode: wide +--- +LTXVImgToVideoInplace 노드는 입력 이미지를 초기 프레임으로 인코딩하여 비디오 잠재 표현을 조건화합니다. VAE를 사용하여 이미지를 잠재 공간으로 인코딩한 후, 지정된 강도에 따라 기존 잠재 샘플과 혼합하는 방식으로 작동합니다. 이를 통해 이미지를 비디오 생성을 위한 시작점 또는 조건화 신호로 사용할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `vae` | 입력 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델입니다. | VAE | 예 | - | +| `이미지` | 인코딩되어 비디오 잠재를 조건화하는 데 사용되는 입력 이미지입니다. | IMAGE | 예 | - | +| `latent` | 수정할 대상 잠재 비디오 표현입니다. | LATENT | 예 | - | +| `강도` | 인코딩된 이미지를 잠재에 혼합하는 강도를 제어합니다. 1.0 값은 초기 프레임을 완전히 대체하며, 낮은 값은 혼합합니다. (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 1.0 | +| `우회` | 조건화를 우회합니다. 활성화되면 노드는 입력 잠재를 변경하지 않고 반환합니다. (기본값: False) | BOOLEAN | 아니요 | - | + +**참고:** `image`는 `latent` 입력의 너비와 높이를 기준으로 `vae` 인코딩에 필요한 공간 차원에 맞게 자동으로 크기가 조정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 수정된 잠재 비디오 표현입니다. 업데이트된 샘플과 초기 프레임에 조건화 강도를 적용하는 `noise_mask`를 포함합니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideoInplace/ko.md) + +--- +**Source fingerprint (SHA-256):** `49df511591071f51e2b86f2302cfb438d18b5e1ade7ef228345f65fddf88dbcc` diff --git a/ko/built-in-nodes/LTXVLatentUpsampler.mdx b/ko/built-in-nodes/LTXVLatentUpsampler.mdx new file mode 100644 index 000000000..f7558581a --- /dev/null +++ b/ko/built-in-nodes/LTXVLatentUpsampler.mdx @@ -0,0 +1,27 @@ +--- +title: "LTXVLatentUpsampler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVLatentUpsampler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVLatentUpsampler" +icon: "circle" +mode: wide +--- +LTXVLatentUpsampler 노드는 비디오 잠재 표현의 공간 해상도를 2배로 증가시킵니다. 이 노드는 특화된 업스케일 모델을 사용하여 잠재 데이터를 처리하며, 제공된 VAE의 채널 통계를 사용하여 먼저 정규화를 해제한 후 다시 정규화합니다. 이 노드는 잠재 공간 내에서의 비디오 워크플로우를 위해 설계되었습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `샘플` | 업스케일할 비디오의 입력 잠재 표현입니다. | LATENT | 예 | | +| `업스케일 모델` | 잠재 데이터에 대해 2배 업스케일링을 수행하는 데 사용되는 로드된 모델입니다. | LATENT_UPSCALE_MODEL | 예 | | +| `vae` | 업스케일링 전에 입력 잠재값의 정규화를 해제하고 이후 출력 잠재값을 정규화하는 데 사용되는 VAE 모델입니다. | VAE | 예 | | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `LATENT` | 입력과 비교하여 공간 차원이 두 배로 증가된 업스케일된 잠재 표현입니다. 출력 잠재값은 입력과 동일한 배치 크기, 채널 수 및 시간 길이를 가집니다. 입력에 `noise_mask`가 있는 경우 출력에서 제거됩니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVLatentUpsampler/ko.md) + +--- +**Source fingerprint (SHA-256):** `b2c726d3a3e4881eee7e1d3bae8c478adf01cd87a9652be882579f4e26c1536f` diff --git a/ko/built-in-nodes/LTXVPreprocess.mdx b/ko/built-in-nodes/LTXVPreprocess.mdx new file mode 100644 index 000000000..8ad4e9eea --- /dev/null +++ b/ko/built-in-nodes/LTXVPreprocess.mdx @@ -0,0 +1,26 @@ +--- +title: "LTXVPreprocess - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVPreprocess node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVPreprocess" +icon: "circle" +mode: wide +--- +LTXVPreprocess 노드는 이미지에 압축 전처리를 적용합니다. 입력 이미지를 지정된 압축 수준으로 처리한 후, 적용된 압축 설정이 반영된 처리된 이미지를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 처리할 입력 이미지 | IMAGE | 예 | - | +| `이미지 압축` | 이미지에 적용할 압축량 (기본값: 35) | INT | 아니요 | 0-100 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output_image` | 압축이 적용된 처리된 출력 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVPreprocess/ko.md) + +--- +**Source fingerprint (SHA-256):** `2c5fbde5d011bdf3313ca05508f58a13eaae0bdff12f3659fef281c0045e480d` diff --git a/ko/built-in-nodes/LTXVReferenceAudio.mdx b/ko/built-in-nodes/LTXVReferenceAudio.mdx new file mode 100644 index 000000000..cc01c787f --- /dev/null +++ b/ko/built-in-nodes/LTXVReferenceAudio.mdx @@ -0,0 +1,34 @@ +--- +title: "LTXVReferenceAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVReferenceAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVReferenceAudio" +icon: "circle" +mode: wide +--- +LTXV 참조 오디오 노드는 오디오 생성에서 화자 정체성 전달을 위해 사용됩니다. 참조 오디오 클립을 모델의 컨디셔닝으로 인코딩하여, 생성된 오디오가 화자의 음성 특성을 채택할 수 있도록 합니다. 또한 정체성 가이던스를 적용할 수 있으며, 이는 추가 처리 단계를 실행하여 화자 정체성 효과를 증폭시킵니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 정체성 가이던스로 패치될 모델입니다. | MODEL | 예 | - | +| `positive` | 포지티브 컨디셔닝 입력입니다. | CONDITIONING | 예 | - | +| `negative` | 네거티브 컨디셔닝 입력입니다. | CONDITIONING | 예 | - | +| `reference_audio` | 화자 정체성을 전달할 참조 오디오 클립입니다. 약 5초를 권장합니다(훈련 기간). 이보다 짧거나 긴 클립은 음성 정체성 전달 품질을 저하시킬 수 있습니다. | AUDIO | 예 | - | +| `audio_vae` | 참조 오디오 인코딩을 위한 LTXV 오디오 VAE입니다. | VAE | 예 | - | +| `identity_guidance_scale` | 정체성 가이던스의 강도입니다. 각 단계에서 참조 없이 추가 순방향 패스를 실행하여 화자 정체성을 증폭시킵니다. 비활성화하려면 0으로 설정하십시오(추가 패스 없음). (기본값: 3.0) | FLOAT | 아니요 | 0.0 - 100.0 | +| `start_percent` | 정체성 가이던스가 활성화되는 시그마 범위의 시작 지점입니다. (기본값: 0.0) | FLOAT | 아니요 | 0.0 - 1.0 | +| `end_percent` | 정체성 가이던스가 활성화되는 시그마 범위의 종료 지점입니다. (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `positive` | 정체성 가이던스 함수로 패치된 모델입니다. | MODEL | +| `negative` | 인코딩된 참조 오디오 데이터를 포함하는 포지티브 컨디셔닝입니다. | CONDITIONING | +| `negative` | 인코딩된 참조 오디오 데이터를 포함하는 네거티브 컨디셔닝입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVReferenceAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `0b87fb135ba8e752f4114cb47152503b0ec548eefcaa03f99f1cbdda6664874c` diff --git a/ko/built-in-nodes/LTXVScheduler.mdx b/ko/built-in-nodes/LTXVScheduler.mdx new file mode 100644 index 000000000..9ddb000a5 --- /dev/null +++ b/ko/built-in-nodes/LTXVScheduler.mdx @@ -0,0 +1,32 @@ +--- +title: "LTXVScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVScheduler" +icon: "circle" +mode: wide +--- +LTXVScheduler 노드는 커스텀 샘플링 프로세스를 위한 시그마 값을 생성합니다. 입력 잠재 변수의 토큰 수를 기반으로 노이즈 스케줄 매개변수를 계산하고 시그모이드 변환을 적용하여 샘플링 스케줄을 생성합니다. 이 노드는 선택적으로 결과 시그마를 지정된 종료 값에 맞게 늘릴 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `스텝 수` | 샘플링 단계 수 (기본값: 20) | INT | 예 | 1-10000 | +| `최대 시프트` | 시그마 계산을 위한 최대 이동 값 (기본값: 2.05) | FLOAT | 예 | 0.0-100.0 | +| `기반 시프트` | 시그마 계산을 위한 기본 이동 값 (기본값: 0.95) | FLOAT | 예 | 0.0-100.0 | +| `늘이기` | 시그마를 [terminal, 1] 범위로 늘리기 (기본값: True) | BOOLEAN | 예 | True/False | +| `종료값` | 늘린 후 시그마의 종료 값 (기본값: 0.1) | FLOAT | 예 | 0.0-0.99 | +| `잠재 비디오` | 시그마 조정을 위한 토큰 수 계산에 사용되는 선택적 잠재 입력 | LATENT | 아니요 | - | + +**참고:** `latent` 매개변수는 선택 사항입니다. 제공되지 않을 경우 노드는 계산에 기본 토큰 수인 4096을 사용합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sigmas` | 샘플링 프로세스를 위해 생성된 시그마 값 | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVScheduler/ko.md) + +--- +**Source fingerprint (SHA-256):** `3c7e8721fd75bfb0a253c38cd29e2ee1905bfe08193aa97dbaa959550aba34bc` diff --git a/ko/built-in-nodes/LTXVSeparateAVLatent.mdx b/ko/built-in-nodes/LTXVSeparateAVLatent.mdx new file mode 100644 index 000000000..78ccca5d3 --- /dev/null +++ b/ko/built-in-nodes/LTXVSeparateAVLatent.mdx @@ -0,0 +1,28 @@ +--- +title: "LTXVSeparateAVLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVSeparateAVLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVSeparateAVLatent" +icon: "circle" +mode: wide +--- +LTXVSeparateAVLatent 노드는 결합된 오디오-비디오 잠재 표현을 입력받아 비디오용과 오디오용의 두 개의 개별 부분으로 분할합니다. 입력 잠재 표현에서 샘플과 노이즈 마스크(있는 경우)를 분리하여 두 개의 새로운 잠재 객체를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `av_latent` | 분할할 결합된 오디오-비디오 잠재 표현입니다. | LATENT | 예 | 해당 없음 | + +**참고:** 입력 잠재 표현의 `samples` 텐서는 첫 번째 차원(배치 차원)을 따라 최소 두 개의 요소를 가질 것으로 예상됩니다. 첫 번째 요소는 비디오 잠재 표현에 사용되고, 두 번째 요소는 오디오 잠재 표현에 사용됩니다. `noise_mask`가 있는 경우 동일한 방식으로 분할됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `audio_latent` | 분할된 비디오 데이터를 포함하는 잠재 표현입니다. | LATENT | +| `audio_latent` | 분할된 오디오 데이터를 포함하는 잠재 표현입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVSeparateAVLatent/ko.md) + +--- +**Source fingerprint (SHA-256):** `55bce5d768e7fe13f885cc32d34ecdac5cdcbb667b03743004866ea4b6d58d46` diff --git a/ko/built-in-nodes/LaplaceScheduler.mdx b/ko/built-in-nodes/LaplaceScheduler.mdx new file mode 100644 index 000000000..31a07321d --- /dev/null +++ b/ko/built-in-nodes/LaplaceScheduler.mdx @@ -0,0 +1,29 @@ +--- +title: "LaplaceScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LaplaceScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LaplaceScheduler" +icon: "circle" +mode: wide +--- +LaplaceScheduler 노드는 확산 샘플링에 사용하기 위해 라플라스 분포를 따르는 시그마 값 시퀀스를 생성합니다. 최대값에서 최소값으로 점차 감소하는 노이즈 레벨 스케줄을 생성하며, 라플라스 분포 매개변수를 사용하여 진행을 제어합니다. 이 스케줄러는 확산 모델의 노이즈 스케줄을 정의하기 위해 사용자 정의 샘플링 워크플로우에서 일반적으로 사용됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `스텝 수` | 스케줄의 샘플링 단계 수입니다 (기본값: 20) | INT | 예 | 1 ~ 10000 | +| `최대 시그마` | 스케줄 시작 시 최대 시그마 값입니다 (기본값: 14.614642) | FLOAT | 예 | 0.0 ~ 5000.0 | +| `최소 시그마` | 스케줄 종료 시 최소 시그마 값입니다 (기본값: 0.0291675) | FLOAT | 예 | 0.0 ~ 5000.0 | +| `mu` | 라플라스 분포의 평균 매개변수입니다 (기본값: 0.0) | FLOAT | 예 | -10.0 ~ 10.0 | +| `beta` | 라플라스 분포의 스케일 매개변수입니다 (기본값: 0.5) | FLOAT | 예 | 0.0 ~ 10.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `SIGMAS` | 라플라스 분포 스케줄을 따르는 시그마 값 시퀀스입니다 | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LaplaceScheduler/ko.md) + +--- +**Source fingerprint (SHA-256):** `9d8cacb93d0bb1872a368821fd3cad5d6d373817a923436af9f62a7648d5d735` diff --git a/ko/built-in-nodes/LatentAdd.mdx b/ko/built-in-nodes/LatentAdd.mdx new file mode 100644 index 000000000..762326db4 --- /dev/null +++ b/ko/built-in-nodes/LatentAdd.mdx @@ -0,0 +1,23 @@ +--- +title: "LatentAdd - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentAdd node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentAdd" +icon: "circle" +mode: wide +--- +LatentAdd 노드는 두 개의 잠재 표현을 더하기 위해 설계되었습니다. 이 노드는 요소별 덧셈을 수행하여 이러한 표현에 인코딩된 특징이나 특성을 결합합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 데이터1` | 더해질 첫 번째 잠재 샘플 세트입니다. 다른 잠재 샘플 세트와 특징이 결합될 입력 중 하나를 나타냅니다. | `LATENT` | +| `잠재 데이터2` | 더해질 두 번째 잠재 샘플 세트입니다. 요소별 덧셈을 통해 첫 번째 잠재 샘플 세트와 특징이 결합되는 다른 입력 역할을 합니다. | `LATENT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 두 잠재 샘플의 요소별 덧셈 결과로, 두 입력의 특징을 결합한 새로운 잠재 샘플 세트를 나타냅니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentAdd/ko.md) diff --git a/ko/built-in-nodes/LatentApplyOperation.mdx b/ko/built-in-nodes/LatentApplyOperation.mdx new file mode 100644 index 000000000..5f8b99f42 --- /dev/null +++ b/ko/built-in-nodes/LatentApplyOperation.mdx @@ -0,0 +1,26 @@ +--- +title: "LatentApplyOperation - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentApplyOperation node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentApplyOperation" +icon: "circle" +mode: wide +--- +LatentApplyOperation 노드는 잠재 샘플에 지정된 연산을 적용합니다. 이 노드는 잠재 데이터와 연산을 입력으로 받아 제공된 연산을 사용하여 잠재 샘플을 처리하고 수정된 잠재 데이터를 반환합니다. 이 노드를 사용하면 워크플로우에서 잠재 표현을 변환하거나 조작할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `잠재 데이터` | 연산으로 처리할 잠재 샘플 | LATENT | 예 | - | +| `연산` | 잠재 샘플에 적용할 연산 | LATENT_OPERATION | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 연산 적용 후 수정된 잠재 샘플 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperation/ko.md) + +--- +**Source fingerprint (SHA-256):** `77147b480fe8cb48eb26a31f6f0c7bc038e07d26e628ebe361861394946d8678` diff --git a/ko/built-in-nodes/LatentApplyOperationCFG.mdx b/ko/built-in-nodes/LatentApplyOperationCFG.mdx new file mode 100644 index 000000000..2d531bc9e --- /dev/null +++ b/ko/built-in-nodes/LatentApplyOperationCFG.mdx @@ -0,0 +1,28 @@ +--- +title: "LatentApplyOperationCFG - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentApplyOperationCFG node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentApplyOperationCFG" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperationCFG/en.md) + +LatentApplyOperationCFG 노드는 잠재 연산을 적용하여 모델의 조건화 유도 과정을 수정합니다. 이 노드는 분류기-자유 유도(CFG) 샘플링 과정 중 조건화 출력을 가로채고, 지정된 연산을 잠재 표현에 적용한 후 생성에 사용되도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | CFG 연산이 적용될 모델 | MODEL | 예 | - | +| `연산` | CFG 샘플링 과정 중 적용할 잠재 연산 | LATENT_OPERATION | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 샘플링 과정에 CFG 연산이 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperationCFG/ko.md) + +--- +**Source fingerprint (SHA-256):** `9fbcc9183abf89bb93e55263bb655e931549360c05a561f7dacae8723db62e52` diff --git a/ko/built-in-nodes/LatentBatch.mdx b/ko/built-in-nodes/LatentBatch.mdx new file mode 100644 index 000000000..6c107fc5e --- /dev/null +++ b/ko/built-in-nodes/LatentBatch.mdx @@ -0,0 +1,23 @@ +--- +title: "LatentBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentBatch" +icon: "circle" +mode: wide +--- +LatentBatch 노드는 두 개의 잠재 샘플 세트를 단일 배치로 병합하며, 필요에 따라 한 세트의 크기를 다른 세트의 차원에 맞게 조정한 후 연결합니다. 이 작업은 서로 다른 잠재 표현을 결합하여 추가 처리 또는 생성 작업을 수행할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 데이터1` | 병합할 첫 번째 잠재 샘플 세트입니다. 병합된 배치의 최종 형태를 결정하는 데 중요한 역할을 합니다. | `LATENT` | +| `잠재 데이터2` | 병합할 두 번째 잠재 샘플 세트입니다. 첫 번째 세트와 차원이 다를 경우, 병합 전에 호환성을 보장하기 위해 크기가 조정됩니다. | `LATENT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 병합된 잠재 샘플 세트로, 추가 처리를 위해 단일 배치로 결합되었습니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBatch/ko.md) diff --git a/ko/built-in-nodes/LatentBatchSeedBehavior.mdx b/ko/built-in-nodes/LatentBatchSeedBehavior.mdx new file mode 100644 index 000000000..2bbe0f059 --- /dev/null +++ b/ko/built-in-nodes/LatentBatchSeedBehavior.mdx @@ -0,0 +1,23 @@ +--- +title: "LatentBatchSeedBehavior - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentBatchSeedBehavior node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentBatchSeedBehavior" +icon: "circle" +mode: wide +--- +`LatentBatchSeedBehavior` 노드는 잠재 샘플 배치의 시드 동작을 수정하도록 설계되었습니다. 배치 전체에 걸쳐 시드를 무작위화하거나 고정하여, 생성된 출력물에 다양성을 도입하거나 일관성을 유지함으로써 생성 과정에 영향을 줍니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 데이터` | 'samples' 매개변수는 처리할 잠재 샘플 배치를 나타냅니다. 이 매개변수의 수정은 선택된 시드 동작에 따라 달라지며, 생성된 출력물의 일관성 또는 다양성에 영향을 줍니다. | `LATENT` | +| `시드 동작` | 'seed_behavior' 매개변수는 잠재 샘플 배치에 대한 시드를 무작위화할지 또는 고정할지를 결정합니다. 이 선택은 배치 전체에 다양성을 도입하거나 일관성을 보장함으로써 생성 과정에 상당한 영향을 미칩니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 출력은 지정된 시드 동작에 따라 조정이 이루어진, 입력 잠재 샘플의 수정된 버전입니다. 선택된 시드 동작을 반영하여 배치 인덱스를 유지하거나 변경합니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBatchSeedBehavior/ko.md) diff --git a/ko/built-in-nodes/LatentBlend.mdx b/ko/built-in-nodes/LatentBlend.mdx new file mode 100644 index 000000000..c7afe2065 --- /dev/null +++ b/ko/built-in-nodes/LatentBlend.mdx @@ -0,0 +1,29 @@ +--- +title: "LatentBlend - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentBlend node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentBlend" +icon: "circle" +mode: wide +--- +LatentBlend 노드는 두 개의 잠재 샘플을 지정된 혼합 비율로 결합합니다. 두 개의 잠재 입력을 받아 첫 번째 샘플에는 혼합 비율을, 두 번째 샘플에는 역비율을 적용하여 새로운 출력을 생성합니다. 입력 샘플의 형태가 다른 경우, 두 번째 샘플이 첫 번째 샘플의 크기에 맞게 자동으로 조정됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `잠재 데이터1` | 혼합할 첫 번째 잠재 샘플 | LATENT | 예 | - | +| `잠재 데이터2` | 혼합할 두 번째 잠재 샘플 | LATENT | 예 | - | +| `혼합 계수` | 두 샘플 간의 혼합 비율을 제어합니다 (기본값: 0.5) | FLOAT | 예 | 0 ~ 1 | + +**참고:** `samples1`과 `samples2`의 형태가 다른 경우, `samples2`가 중앙 자르기를 적용한 쌍삼차 보간법을 사용하여 `samples1`의 크기에 맞게 자동으로 조정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 두 입력 샘플이 결합된 혼합 잠재 샘플 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBlend/ko.md) + +--- +**Source fingerprint (SHA-256):** `a19808c5b606a8c05f2685fcd78d9f08c1ba51613a4029b36cf0ce5305618c2f` diff --git a/ko/built-in-nodes/LatentComposite.mdx b/ko/built-in-nodes/LatentComposite.mdx new file mode 100644 index 000000000..0f39fe5d3 --- /dev/null +++ b/ko/built-in-nodes/LatentComposite.mdx @@ -0,0 +1,26 @@ +--- +title: "LatentComposite - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentComposite node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentComposite" +icon: "circle" +mode: wide +--- +LatentComposite 노드는 두 개의 잠재 표현을 하나의 출력으로 혼합하거나 병합하도록 설계되었습니다. 이 프로세스는 입력 잠재의 특성을 제어된 방식으로 결합하여 합성 이미지나 특징을 만드는 데 필수적입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `대상 잠재 데이터` | 'samples_from'이 합성될 대상이 되는 잠재 표현입니다. 합성 작업의 기준 역할을 합니다. | `LATENT` | +| `추가 잠재 데이터` | 'samples_to'에 합성될 잠재 표현입니다. 최종 합성 출력에 자체 특징이나 특성을 기여합니다. | `LATENT` | +| `x` | 'samples_from' 잠재가 'samples_to'에 배치될 x 좌표(가로 위치)입니다. 합성의 가로 정렬을 결정합니다. | `INT` | +| `y` | 'samples_from' 잠재가 'samples_to'에 배치될 y 좌표(세로 위치)입니다. 합성의 세로 정렬을 결정합니다. | `INT` | +| `가장자리 흐림` | 합성 전에 'samples_from' 잠재를 'samples_to'에 맞게 크기를 조정할지 여부를 나타내는 부울 값입니다. 이는 합성 결과의 크기와 비율에 영향을 줄 수 있습니다. | `INT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 지정된 좌표와 크기 조정 옵션에 따라 'samples_to'와 'samples_from' 잠재의 특징을 혼합한 합성 잠재 표현이 출력됩니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentComposite/ko.md) diff --git a/ko/built-in-nodes/LatentCompositeMasked.mdx b/ko/built-in-nodes/LatentCompositeMasked.mdx new file mode 100644 index 000000000..5c1cfcfc6 --- /dev/null +++ b/ko/built-in-nodes/LatentCompositeMasked.mdx @@ -0,0 +1,27 @@ +--- +title: "LatentCompositeMasked - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentCompositeMasked node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentCompositeMasked" +icon: "circle" +mode: wide +--- +LatentCompositeMasked 노드는 두 개의 잠재 표현을 지정된 좌표에서 혼합하고, 선택적으로 마스크를 사용하여 보다 정밀한 합성을 수행하도록 설계되었습니다. 이 노드를 사용하면 한 이미지의 일부를 다른 이미지 위에 겹쳐 복잡한 잠재 이미지를 생성할 수 있으며, 소스 이미지 크기를 조정하여 완벽하게 맞출 수도 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `대상` | 다른 잠재 표현이 합성될 대상 잠재 표현입니다. 합성 작업의 기본 레이어 역할을 합니다. | `LATENT` | +| `원본` | 대상에 합성될 소스 잠재 표현입니다. 이 소스 레이어는 지정된 매개변수에 따라 크기를 조정하고 위치를 지정할 수 있습니다. | `LATENT` | +| `x` | 소스가 배치될 대상 잠재 표현의 x 좌표입니다. 소스 레이어의 정확한 위치를 지정할 수 있습니다. | `INT` | +| `y` | 소스가 배치될 대상 잠재 표현의 y 좌표로, 정확한 오버레이 위치를 지정할 수 있습니다. | `INT` | +| `원본 크기 조정` | 합성 전에 소스 잠재 표현의 크기를 대상의 크기에 맞게 조정할지 여부를 나타내는 부울 플래그입니다. | `BOOLEAN` | +| `마스크` | 소스를 대상에 혼합하는 방식을 제어하는 데 사용할 수 있는 선택적 마스크입니다. 마스크는 최종 합성 결과에서 소스의 어느 부분이 표시될지 정의합니다. | `MASK` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 소스를 대상에 합성한 후 생성된 잠재 표현입니다. 선택적으로 마스크를 사용하여 선택적 혼합을 수행할 수 있습니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCompositeMasked/ko.md) diff --git a/ko/built-in-nodes/LatentConcat.mdx b/ko/built-in-nodes/LatentConcat.mdx new file mode 100644 index 000000000..f4ab815de --- /dev/null +++ b/ko/built-in-nodes/LatentConcat.mdx @@ -0,0 +1,29 @@ +--- +title: "LatentConcat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentConcat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentConcat" +icon: "circle" +mode: wide +--- +LatentConcat 노드는 선택한 차원을 따라 두 개의 잠재 샘플을 결합합니다. 두 개의 잠재 입력을 받아 x, y 또는 t 축을 따라 연결하며, 어떤 샘플이 먼저 올지 제어할 수 있는 옵션을 제공합니다. 이 노드는 연결을 수행하기 전에 두 번째 입력의 배치 크기를 첫 번째 입력과 일치하도록 자동으로 조정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `샘플1` | 연결할 첫 번째 잠재 샘플입니다. | LATENT | 예 | - | +| `샘플2` | 연결할 두 번째 잠재 샘플입니다. | LATENT | 예 | - | +| `차원` | 잠재 샘플을 연결할 차원입니다. 양수 값(x, y, t)은 결과에서 samples1을 samples2 앞에 배치합니다. 음수 값(-x, -y, -t)은 samples2를 samples1 앞에 배치합니다. 차원 매핑은 다음과 같습니다: x = 너비, y = 높이, t = 시간/프레임 | COMBO | 예 | `"x"`
`"-x"`
`"y"`
`"-y"`
`"t"`
`"-t"` | + +**참고:** 두 번째 잠재 샘플(`samples2`)은 연결 전에 첫 번째 잠재 샘플(`samples1`)의 배치 크기와 일치하도록 자동으로 조정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 지정된 차원을 따라 두 입력 샘플을 결합하여 생성된 연결된 잠재 샘플입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentConcat/ko.md) + +--- +**Source fingerprint (SHA-256):** `46514ef85887279ec577ad88ac46f1c20f428903ee63b076888d7d5df09fde77` diff --git a/ko/built-in-nodes/LatentCrop.mdx b/ko/built-in-nodes/LatentCrop.mdx new file mode 100644 index 000000000..dc8ed74c7 --- /dev/null +++ b/ko/built-in-nodes/LatentCrop.mdx @@ -0,0 +1,26 @@ +--- +title: "LatentCrop - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentCrop node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentCrop" +icon: "circle" +mode: wide +--- +LatentCrop 노드는 이미지의 잠재 표현에 대한 자르기 작업을 수행하도록 설계되었습니다. 자르기 영역의 크기와 위치를 지정하여 잠재 공간을 대상으로 수정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 데이터` | 'samples' 매개변수는 자르기 작업을 수행할 잠재 표현을 나타냅니다. 자르기 작업이 수행될 데이터를 정의하는 데 중요합니다. | `LATENT` | +| `너비` | 자르기 영역의 너비를 지정합니다. 출력 잠재 표현의 크기에 직접적인 영향을 미칩니다. | `INT` | +| `높이` | 자르기 영역의 높이를 지정합니다. 결과로 생성되는 자르기된 잠재 표현의 크기에 영향을 줍니다. | `INT` | +| `x` | 자르기 영역의 시작 x 좌표를 결정합니다. 원본 잠재 표현 내에서 자르기 위치에 영향을 줍니다. | `INT` | +| `y` | 자르기 영역의 시작 y 좌표를 결정합니다. 원본 잠재 표현 내에서 자르기 위치를 설정합니다. | `INT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 지정된 자르기가 적용된 수정된 잠재 표현이 출력됩니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCrop/ko.md) diff --git a/ko/built-in-nodes/LatentCut.mdx b/ko/built-in-nodes/LatentCut.mdx new file mode 100644 index 000000000..fbecfe27a --- /dev/null +++ b/ko/built-in-nodes/LatentCut.mdx @@ -0,0 +1,30 @@ +--- +title: "LatentCut - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentCut node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentCut" +icon: "circle" +mode: wide +--- +# LatentCut 노드 + +LatentCut 노드는 잠재 샘플에서 선택한 차원을 따라 특정 구간을 추출합니다. 차원(x, y 또는 t), 시작 위치 및 추출할 양을 지정하여 잠재 표현의 일부를 잘라낼 수 있습니다. 이 노드는 양수 및 음수 인덱싱을 모두 지원하며, 추출량을 사용 가능한 범위 내에 자동으로 조정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `샘플` | 추출할 입력 잠재 샘플 | LATENT | 예 | - | +| `차원` | 잠재 샘플을 자를 차원 | COMBO | 예 | "x"
"y"
"t" | +| `인덱스` | 자르기 시작 위치 (기본값: 0). 양수 값은 처음부터, 음수 값은 끝부터 계산합니다. 노드는 인덱스를 잠재 샘플의 유효 범위 내로 자동 조정합니다 | INT | 예 | -16384 ~ 16384 | +| `양` | 지정된 차원을 따라 추출할 요소 수 (기본값: 1). 노드는 시작 인덱스 이후 사용 가능한 데이터를 초과할 경우 이 값을 자동으로 줄입니다 | INT | 예 | 1 ~ 16384 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 추출된 잠재 샘플 부분 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCut/ko.md) + +--- +**Source fingerprint (SHA-256):** `54f2b0cead9dce2c2cbd241d4e8c50ce85a67d3e1a40e7002056b83acbf0cf2d` diff --git a/ko/built-in-nodes/LatentCutToBatch.mdx b/ko/built-in-nodes/LatentCutToBatch.mdx new file mode 100644 index 000000000..37d266a87 --- /dev/null +++ b/ko/built-in-nodes/LatentCutToBatch.mdx @@ -0,0 +1,27 @@ +--- +title: "LatentCutToBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentCutToBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentCutToBatch" +icon: "circle" +mode: wide +--- +LatentCutToBatch 노드는 잠재 표현을 선택한 차원을 따라 여러 조각으로 분할하고 이를 새로운 배치로 쌓습니다. 이를 통해 잠재 샘플의 서로 다른 부분을 독립적으로 처리할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `샘플` | 분할 및 배치 처리할 잠재 표현입니다. | LATENT | 예 | - | +| `차원` | 잠재 샘플을 자를 차원입니다. `"t"`는 시간 차원, `"x"`는 너비, `"y"`는 높이를 나타냅니다. | COMBO | 예 | `"t"`
`"x"`
`"y"` | +| `슬라이스 크기` | 지정된 차원에서 자를 각 조각의 크기입니다. 해당 차원의 크기가 이 값으로 정확히 나누어지지 않으면 나머지는 폐기됩니다. (기본값: 1) | INT | 예 | 1 ~ 16384 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `샘플` | 결과 잠재 배치로, 분할 및 쌓인 샘플을 포함합니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/ko.md) + +--- +**Source fingerprint (SHA-256):** `38d0ace3ef91e47e3f047aa7057c61e09b6534702526b34691b4bc239c933cd3` diff --git a/ko/built-in-nodes/LatentFlip.mdx b/ko/built-in-nodes/LatentFlip.mdx new file mode 100644 index 000000000..32b0b0440 --- /dev/null +++ b/ko/built-in-nodes/LatentFlip.mdx @@ -0,0 +1,23 @@ +--- +title: "LatentFlip - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentFlip node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentFlip" +icon: "circle" +mode: wide +--- +LatentFlip 노드는 잠재 표현을 수직 또는 수평으로 뒤집어 조작하도록 설계되었습니다. 이 작업을 통해 잠재 공간을 변환하여 데이터 내에서 새로운 변형이나 관점을 발견할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `잠재 데이터` | 'samples' 매개변수는 뒤집을 잠재 표현을 나타냅니다. 뒤집기 작업은 'flip_method' 매개변수에 따라 이러한 표현을 수직 또는 수평으로 변경하여 잠재 공간의 데이터를 변환합니다. | `LATENT` | +| `뒤집기 방법` | 'flip_method' 매개변수는 잠재 샘플이 뒤집힐 축을 지정합니다. 'x-axis: vertically(수직)' 또는 'y-axis: horizontally(수평)' 중 하나일 수 있으며, 뒤집기 방향과 잠재 표현에 적용되는 변환의 특성을 결정합니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `latent` | 출력은 지정된 방법에 따라 뒤집힌 입력 잠재 표현의 수정된 버전입니다. 이 변환을 통해 잠재 공간 내에서 새로운 변형이 도입될 수 있습니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentFlip/ko.md) diff --git a/ko/built-in-nodes/LatentFromBatch.mdx b/ko/built-in-nodes/LatentFromBatch.mdx new file mode 100644 index 000000000..888f604b1 --- /dev/null +++ b/ko/built-in-nodes/LatentFromBatch.mdx @@ -0,0 +1,24 @@ +--- +title: "LatentFromBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentFromBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentFromBatch" +icon: "circle" +mode: wide +--- +이 노드는 지정된 배치 인덱스와 길이에 따라 주어진 배치에서 잠재 샘플의 특정 하위 집합을 추출하도록 설계되었습니다. 잠재 샘플을 선택적으로 처리할 수 있게 하여 효율성이나 목표 조작을 위해 배치의 더 작은 세그먼트에 대한 작업을 용이하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `잠재 데이터` | 하위 집합이 추출될 잠재 샘플의 모음입니다. 이 매개변수는 처리할 샘플의 소스 배치를 결정하는 데 중요합니다. | `LATENT` | +| `배치_인덱스` | 하위 집합이 시작될 배치 내의 시작 인덱스를 지정합니다. 이 매개변수는 배치 내 특정 위치에서 샘플을 목표로 추출할 수 있게 합니다. | `INT` | +| `길이` | 지정된 시작 인덱스에서 추출할 샘플 수를 정의합니다. 이 매개변수는 처리할 하위 집합의 크기를 제어하여 배치 세그먼트를 유연하게 조작할 수 있게 합니다. | `INT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `latent` | 추출된 잠재 샘플의 하위 집합으로, 이제 추가 처리 또는 분석에 사용할 수 있습니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentFromBatch/ko.md) diff --git a/ko/built-in-nodes/LatentInterpolate.mdx b/ko/built-in-nodes/LatentInterpolate.mdx new file mode 100644 index 000000000..ca0eeb232 --- /dev/null +++ b/ko/built-in-nodes/LatentInterpolate.mdx @@ -0,0 +1,24 @@ +--- +title: "LatentInterpolate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentInterpolate node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentInterpolate" +icon: "circle" +mode: wide +--- +LatentInterpolate 노드는 지정된 비율에 따라 두 잠재 샘플 세트 간의 보간을 수행하여, 두 세트의 특성을 혼합한 새로운 중간 잠재 샘플 세트를 생성하도록 설계되었습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `잠재 데이터1` | 보간할 첫 번째 잠재 샘플 세트입니다. 보간 과정의 시작점 역할을 합니다. | `LATENT` | +| `잠재 데이터2` | 보간할 두 번째 잠재 샘플 세트입니다. 보간 과정의 종료점 역할을 합니다. | `LATENT` | +| `비율` | 보간된 출력에서 각 샘플 세트의 가중치를 결정하는 부동 소수점 값입니다. 비율이 0이면 첫 번째 세트의 복사본이 생성되고, 비율이 1이면 두 번째 세트의 복사본이 생성됩니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `latent` | 지정된 비율을 기반으로 두 입력 세트 사이의 보간된 상태를 나타내는 새로운 잠재 샘플 세트가 출력됩니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentInterpolate/ko.md) diff --git a/ko/built-in-nodes/LatentMultiply.mdx b/ko/built-in-nodes/LatentMultiply.mdx new file mode 100644 index 000000000..7474375f9 --- /dev/null +++ b/ko/built-in-nodes/LatentMultiply.mdx @@ -0,0 +1,23 @@ +--- +title: "LatentMultiply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentMultiply node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentMultiply" +icon: "circle" +mode: wide +--- +LatentMultiply 노드는 샘플의 잠재 표현을 지정된 승수로 확장하도록 설계되었습니다. 이 작업을 통해 잠재 공간 내 특징의 강도나 크기를 조정할 수 있으며, 생성된 콘텐츠의 미세 조정이나 특정 잠재 방향 내 변형 탐색이 가능합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 데이터` | 'samples' 매개변수는 확장될 잠재 표현을 나타냅니다. 곱셈 연산이 수행될 입력 데이터를 정의하는 데 중요합니다. | `LATENT` | +| `배율` | 'multiplier' 매개변수는 잠재 샘플에 적용할 확장 비율을 지정합니다. 잠재 특징의 크기를 조정하여 생성된 출력을 세밀하게 제어하는 데 핵심적인 역할을 합니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 출력은 입력 잠재 샘플에 지정된 승수를 적용하여 확장된 수정 버전입니다. 이를 통해 특징의 강도를 조정하여 잠재 공간 내 변형을 탐색할 수 있습니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentMultiply/ko.md) diff --git a/ko/built-in-nodes/LatentOperationSharpen.mdx b/ko/built-in-nodes/LatentOperationSharpen.mdx new file mode 100644 index 000000000..0174f8980 --- /dev/null +++ b/ko/built-in-nodes/LatentOperationSharpen.mdx @@ -0,0 +1,27 @@ +--- +title: "LatentOperationSharpen - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentOperationSharpen node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentOperationSharpen" +icon: "circle" +mode: wide +--- +LatentOperationSharpen 노드는 가우시안 커널을 사용하여 잠재 표현에 선명화 효과를 적용합니다. 잠재 데이터를 정규화하고, 사용자 정의 선명화 커널로 컨볼루션을 적용한 후 원래 휘도를 복원하는 방식으로 작동합니다. 이를 통해 잠재 공간 표현의 세부 사항과 가장자리가 향상됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `선명화 반경` | 선명화 커널의 반경입니다 (기본값: 9) | INT | 아니요 | 1-31 | +| `시그마` | 가우시안 커널의 표준 편차입니다 (기본값: 1.0) | FLOAT | 아니요 | 0.1-10.0 | +| `알파` | 선명화 강도 계수입니다 (기본값: 0.1) | FLOAT | 아니요 | 0.0-5.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `operation` | 잠재 데이터에 적용할 수 있는 선명화 연산을 반환합니다 | LATENT_OPERATION | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationSharpen/ko.md) + +--- +**Source fingerprint (SHA-256):** `542754746ab462eb27229ab9b949bb66054ab4c87c77cc59d405b35a2cc27bce` diff --git a/ko/built-in-nodes/LatentOperationTonemapReinhard.mdx b/ko/built-in-nodes/LatentOperationTonemapReinhard.mdx new file mode 100644 index 000000000..f4fa5f255 --- /dev/null +++ b/ko/built-in-nodes/LatentOperationTonemapReinhard.mdx @@ -0,0 +1,25 @@ +--- +title: "LatentOperationTonemapReinhard - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentOperationTonemapReinhard node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentOperationTonemapReinhard" +icon: "circle" +mode: wide +--- +LatentOperationTonemapReinhard 노드는 잠재 벡터에 Reinhard 톤매핑을 적용합니다. 이 기술은 평균과 표준편차를 기반으로 한 통계적 접근 방식을 사용하여 잠재 벡터를 정규화하고 크기를 조정하며, 강도는 승수 매개변수로 제어됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `배율` | 톤매핑 효과의 강도를 제어합니다 (기본값: 1.0) | FLOAT | 아니요 | 0.0 ~ 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `operation` | 잠재 벡터에 적용할 수 있는 톤매핑 연산을 반환합니다 | LATENT_OPERATION | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/ko.md) + +--- +**Source fingerprint (SHA-256):** `70c04eaef06b749392a0c65f3d1267e52484f7cf956f87173d10ad935afcf98c` diff --git a/ko/built-in-nodes/LatentRotate.mdx b/ko/built-in-nodes/LatentRotate.mdx new file mode 100644 index 000000000..36b1b9f48 --- /dev/null +++ b/ko/built-in-nodes/LatentRotate.mdx @@ -0,0 +1,23 @@ +--- +title: "LatentRotate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentRotate node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentRotate" +icon: "circle" +mode: wide +--- +LatentRotate 노드는 지정된 각도로 이미지의 잠재 표현을 회전시키도록 설계되었습니다. 회전 효과를 얻기 위해 잠재 공간을 조작하는 복잡성을 추상화하여, 사용자가 생성 모델의 잠재 공간에서 이미지를 쉽게 변환할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 데이터` | 'samples' 매개변수는 회전할 이미지의 잠재 표현을 나타냅니다. 회전 작업의 시작점을 결정하는 데 중요합니다. | `LATENT` | +| `회전` | 'rotation' 매개변수는 잠재 이미지를 회전할 각도를 지정합니다. 결과 이미지의 방향에 직접적인 영향을 미칩니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 출력은 입력 잠재 표현을 지정된 각도로 회전시킨 수정된 버전입니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentRotate/ko.md) diff --git a/ko/built-in-nodes/LatentSubtract.mdx b/ko/built-in-nodes/LatentSubtract.mdx new file mode 100644 index 000000000..470aa143d --- /dev/null +++ b/ko/built-in-nodes/LatentSubtract.mdx @@ -0,0 +1,23 @@ +--- +title: "LatentSubtract - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentSubtract node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentSubtract" +icon: "circle" +mode: wide +--- +LatentSubtract 노드는 하나의 잠재 표현에서 다른 잠재 표현을 빼는 역할을 합니다. 이 연산은 한 잠재 공간에 포함된 특징이나 속성을 다른 잠재 공간에서 제거함으로써 생성 모델 출력의 특성을 조작하거나 수정하는 데 사용할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 데이터1` | 빼기 연산의 기준이 되는 첫 번째 잠재 샘플 세트입니다. | `LATENT` | +| `잠재 데이터2` | 첫 번째 세트에서 뺄 두 번째 잠재 샘플 세트입니다. 이 연산은 속성이나 특징을 제거하여 생성 모델의 결과 출력을 변경할 수 있습니다. | `LATENT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 첫 번째 잠재 샘플 세트에서 두 번째 세트를 뺀 결과입니다. 이렇게 수정된 잠재 표현은 추가 생성 작업에 사용할 수 있습니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentSubtract/ko.md) diff --git a/ko/built-in-nodes/LatentUpscale.mdx b/ko/built-in-nodes/LatentUpscale.mdx new file mode 100644 index 000000000..92ae76c64 --- /dev/null +++ b/ko/built-in-nodes/LatentUpscale.mdx @@ -0,0 +1,26 @@ +--- +title: "LatentUpscale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentUpscale node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentUpscale" +icon: "circle" +mode: wide +--- +LatentUpscale 노드는 이미지의 잠재 표현을 업스케일링하기 위해 설계되었습니다. 출력 이미지의 크기와 업스케일링 방법을 조정할 수 있어 잠재 이미지의 해상도를 향상시키는 데 유연성을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 데이터` | 업스케일링할 이미지의 잠재 표현입니다. 이 매개변수는 업스케일링 프로세스의 시작점을 결정하는 데 중요합니다. | `LATENT` | +| `업스케일 방법` | 잠재 이미지를 업스케일링하는 데 사용되는 방법을 지정합니다. 방법에 따라 업스케일링된 이미지의 품질과 특성이 달라질 수 있습니다. | COMBO[STRING] | +| `너비` | 업스케일링된 이미지의 원하는 너비입니다. 0으로 설정하면 종횡비를 유지하기 위해 높이를 기준으로 계산됩니다. | `INT` | +| `높이` | 업스케일링된 이미지의 원하는 높이입니다. 0으로 설정하면 종횡비를 유지하기 위해 너비를 기준으로 계산됩니다. | `INT` | +| `자르기` | 업스케일링된 이미지를 자르는 방식을 결정하며, 출력의 최종 모양과 크기에 영향을 줍니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 업스케일링된 이미지의 잠재 표현으로, 추가 처리 또는 생성을 위해 준비된 상태입니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscale/ko.md) diff --git a/ko/built-in-nodes/LatentUpscaleBy.mdx b/ko/built-in-nodes/LatentUpscaleBy.mdx new file mode 100644 index 000000000..18a4ac1f1 --- /dev/null +++ b/ko/built-in-nodes/LatentUpscaleBy.mdx @@ -0,0 +1,24 @@ +--- +title: "LatentUpscaleBy - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentUpscaleBy node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentUpscaleBy" +icon: "circle" +mode: wide +--- +LatentUpscaleBy 노드는 이미지의 잠재 표현을 업스케일링하기 위해 설계되었습니다. 스케일 비율과 업스케일링 방법을 조정할 수 있어 잠재 샘플의 해상도를 향상시키는 유연성을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 데이터` | 업스케일링할 이미지의 잠재 표현입니다. 이 매개변수는 업스케일링 과정을 거칠 입력 데이터를 결정하는 데 중요합니다. | `LATENT` | +| `확대 방법` | 잠재 샘플을 업스케일링하는 데 사용되는 방법을 지정합니다. 방법 선택은 업스케일링된 출력의 품질과 특성에 큰 영향을 미칠 수 있습니다. | COMBO[STRING] | +| `확대율` | 잠재 샘플이 확장되는 비율을 결정합니다. 이 매개변수는 출력 해상도에 직접적인 영향을 미치며, 업스케일링 과정을 정밀하게 제어할 수 있도록 합니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 업스케일링된 잠재 표현으로, 추가 처리 또는 생성 작업에 사용할 준비가 되었습니다. 이 출력은 생성된 이미지의 해상도를 향상시키거나 후속 모델 작업에 필수적입니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleBy/ko.md) diff --git a/ko/built-in-nodes/LatentUpscaleModelLoader.mdx b/ko/built-in-nodes/LatentUpscaleModelLoader.mdx new file mode 100644 index 000000000..6de2f805b --- /dev/null +++ b/ko/built-in-nodes/LatentUpscaleModelLoader.mdx @@ -0,0 +1,25 @@ +--- +title: "LatentUpscaleModelLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentUpscaleModelLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LatentUpscaleModelLoader" +icon: "circle" +mode: wide +--- +LatentUpscaleModelLoader 노드는 잠재 표현을 업스케일링하기 위해 설계된 특수 모델을 로드합니다. 시스템의 지정된 폴더에서 모델 파일을 읽고 해당 유형(720p, 1080p 또는 기타)을 자동으로 감지하여 올바른 내부 모델 아키텍처를 인스턴스화하고 구성합니다. 로드된 모델은 다른 노드에서 잠재 공간 초해상도 작업에 사용할 준비가 됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model_name` | 로드할 잠재 업스케일 모델 파일의 이름입니다. 사용 가능한 옵션은 ComfyUI의 `latent_upscale_models` 디렉터리에 있는 파일에서 동적으로 가져옵니다. | STRING | 예 | *`latent_upscale_models` 폴더의 모든 파일* | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 로드된 잠재 업스케일 모델로, 구성이 완료되어 사용할 준비가 되었습니다. | LATENT_UPSCALE_MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/ko.md) + +--- +**Source fingerprint (SHA-256):** `bd97f3ec1422aaabbd60779aa4112be44791daddc6307de53ae0e4219a90ab0e` diff --git a/ko/built-in-nodes/LazyCache.mdx b/ko/built-in-nodes/LazyCache.mdx new file mode 100644 index 000000000..c39f215d2 --- /dev/null +++ b/ko/built-in-nodes/LazyCache.mdx @@ -0,0 +1,29 @@ +--- +title: "LazyCache - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LazyCache node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LazyCache" +icon: "circle" +mode: wide +--- +LazyCache는 EasyCache의 홈브루 버전으로, 더욱 간편한 구현을 제공합니다. ComfyUI의 모든 모델과 함께 작동하며, 샘플링 중 계산량을 줄이기 위해 캐싱 기능을 추가합니다. 일반적으로 EasyCache보다 성능이 떨어지지만, 드물게 더 효과적일 수 있으며 보편적인 호환성을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | LazyCache를 추가할 모델입니다. | MODEL | 예 | - | +| `재사용 임계값` | 캐시된 단계를 재사용하기 위한 임계값입니다(기본값: 0.2). | FLOAT | 아니요 | 0.0 - 3.0 | +| `시작 백분율` | LazyCache 사용을 시작할 상대적 샘플링 단계입니다(기본값: 0.15). | FLOAT | 아니요 | 0.0 - 1.0 | +| `종료 백분율` | LazyCache 사용을 종료할 상대적 샘플링 단계입니다(기본값: 0.95). | FLOAT | 아니요 | 0.0 - 1.0 | +| `상세 정보` | 상세 정보를 로그로 출력할지 여부입니다(기본값: False). | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | LazyCache 기능이 추가된 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LazyCache/ko.md) + +--- +**Source fingerprint (SHA-256):** `72a5e85b7cf517e88583fc1b75d3ab4a5d40fe8604d50c34f555e677d2ea9e51` diff --git a/ko/built-in-nodes/Load3D.mdx b/ko/built-in-nodes/Load3D.mdx new file mode 100644 index 000000000..a1c0ac05c --- /dev/null +++ b/ko/built-in-nodes/Load3D.mdx @@ -0,0 +1,143 @@ +--- +title: "Load3D - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Load3D node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Load3D" +icon: "circle" +mode: wide +--- +# Load3D 노드 + +Load3D 노드는 3D 모델 파일을 불러오고 처리하는 핵심 노드입니다. 노드를 불러오면 `ComfyUI/input/3d/`에서 사용 가능한 3D 리소스를 자동으로 검색합니다. 또한 업로드 기능을 사용하여 지원되는 3D 파일을 업로드하여 미리 볼 수 있습니다. + +**지원 형식** +현재 이 노드는 `.gltf`, `.glb`, `.obj`, `.fbx`, `.stl`을 포함한 여러 3D 파일 형식을 지원합니다. + +**3D 노드 환경설정** +3D 노드와 관련된 일부 환경설정은 ComfyUI의 설정 메뉴에서 구성할 수 있습니다. 해당 설정에 대한 자세한 내용은 다음 문서를 참조하십시오: + +[설정 메뉴](https://docs.comfy.org/interface/settings/3d) + +일반적인 노드 출력 외에도 Load3D는 캔버스 메뉴에 다양한 3D 보기 관련 설정을 제공합니다. + +## 입력 + +| 매개변수 이름 | 설명 | 유형 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | +| `모델 파일` | 3D 모델 파일 경로, 업로드 지원, 기본적으로 `ComfyUI/input/3d/`에서 모델 파일 읽기 | 파일 선택 | - | 지원 형식 | +| `너비` | 캔버스 렌더링 너비 | INT | 1024 | 1-4096 | +| `높이` | 캔버스 렌더링 높이 | INT | 1024 | 1-4096 | + +## 출력 + +| 매개변수 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `mask` | 캔버스 렌더링 이미지 | IMAGE | +| `mesh_path` | 현재 모델 위치를 포함하는 마스크 | MASK | +| `normal` | 모델 파일 경로 | STRING | +| `camera_info` | 법선 맵 | IMAGE | +| `recording_video` | 라인 아트 이미지 출력, 해당 `edge_threshold`는 캔버스 모델 메뉴에서 조정 가능 | IMAGE | +| `model_3d` | 카메라 정보 | LOAD3D_CAMERA | +| `model_3d_info` | 녹화된 비디오(녹화가 있는 경우에만) | VIDEO | + +모든 출력 미리보기: +![보기 작업 데모](/images/built-in-nodes/Load3D/load3d_outputs.webp) + +## 캔버스 영역 설명 + +Load3D 노드의 캔버스 영역에는 다음과 같은 다양한 보기 작업이 포함되어 있습니다: + +- 미리보기 보기 설정(그리드, 배경색, 미리보기 보기) +- 카메라 제어: FOV, 카메라 유형 제어 +- 전역 조명 강도: 조명 강도 조정 +- 비디오 녹화: 비디오 녹화 및 내보내기 +- 모델 내보내기: `GLB`, `OBJ`, `STL` 형식 지원 +- 그 외 다양한 기능 + +![Load 3D 노드 UI](/images/built-in-nodes/Load3D/load3d_ui.jpg) + +1. Load 3D 노드의 여러 메뉴 및 숨겨진 메뉴 포함 +2. `미리보기 창 크기 조정` 및 `캔버스 비디오 녹화` 메뉴 +3. 3D 보기 작업 축 +4. 미리보기 썸네일 +5. 미리보기 크기 설정, 치수 설정 후 창 크기 조정으로 미리보기 보기 배율 조정 + +### 1. 보기 작업 + + + +보기 제어 작업: + +- 왼쪽 클릭 + 드래그: 보기 회전 +- 오른쪽 클릭 + 드래그: 보기 이동 +- 중간 휠 스크롤 또는 중간 클릭 + 드래그: 확대/축소 +- 좌표축: 보기 전환 + +### 2. 왼쪽 메뉴 기능 + +![메뉴](/images/built-in-nodes/Load3D/menu.webp) + +캔버스에서 일부 설정은 메뉴에 숨겨져 있습니다. 메뉴 버튼을 클릭하여 다양한 메뉴를 펼칠 수 있습니다 + +- 1. 장면: 미리보기 창 그리드, 배경색, 미리보기 설정 포함 +- 2. 모델: 모델 렌더링 모드, 텍스처 재질, 위쪽 방향 설정 +- 3. 카메라: 직교 투영과 원근 투영 간 전환 및 원근 각도 크기 설정 +- 4. 조명: 장면 전역 조명 강도 +- 5. 내보내기: 모델을 다른 형식으로 내보내기(GLB, OBJ, STL) + +#### 장면 + +![장면 메뉴](/images/built-in-nodes/Load3D/menu_scene.webp) + +장면 메뉴는 몇 가지 기본 장면 설정 기능을 제공합니다 + +1. 그리드 표시/숨기기 +2. 배경색 설정 +3. 클릭하여 배경 이미지 업로드 +4. 미리보기 숨기기 + +#### 모델 + +![메뉴_장면](/images/built-in-nodes/Load3D/menu_model.webp) + +모델 메뉴는 모델 관련 기능을 제공합니다 + +1. **위쪽 방향**: 모델의 위쪽 방향이 될 축 결정 +2. **재질 모드**: 모델 렌더링 모드 전환 - 원본, 법선, 와이어프레임, 라인 아트 + +#### 카메라 + +![메뉴_모델메뉴_카메라](/images/built-in-nodes/Load3D/menu_camera.webp) + +이 메뉴는 직교 투영과 원근 투영 간 전환 및 원근 각도 크기 설정을 제공합니다 + +1. **카메라**: 직교 투영과 원근 투영 간 빠른 전환 +2. **FOV**: FOV 각도 조정 + +#### 조명 + +![메뉴_모델메뉴_카메라](/images/built-in-nodes/Load3D/menu_light.webp) + +이 메뉴를 통해 장면의 전역 조명 강도를 빠르게 조정할 수 있습니다 + +#### 내보내기 + +![메뉴_내보내기](/images/built-in-nodes/Load3D/menu_export.webp) + +이 메뉴는 모델 형식을 빠르게 변환하고 내보내는 기능을 제공합니다 + +### 3. 오른쪽 메뉴 기능 + + + +오른쪽 메뉴에는 두 가지 주요 기능이 있습니다: + +1. **보기 비율 재설정**: 버튼 클릭 후 보기가 설정된 너비와 높이에 따라 캔버스 렌더링 영역 비율을 조정합니다 +2. **비디오 녹화**: 현재 3D 보기 작업을 비디오로 녹화할 수 있으며, 가져오기를 허용하고 `recording_video`로 후속 노드에 출력할 수 있습니다 + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Load3D/ko.md) diff --git a/ko/built-in-nodes/Load3DAnimation.mdx b/ko/built-in-nodes/Load3DAnimation.mdx new file mode 100644 index 000000000..92b1c2314 --- /dev/null +++ b/ko/built-in-nodes/Load3DAnimation.mdx @@ -0,0 +1,146 @@ +--- +title: "Load3DAnimation - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Load3DAnimation node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Load3DAnimation" +icon: "circle" +mode: wide +--- +# Load3DAnimation 노드 + +Load3DAnimation 노드는 3D 모델 파일을 불러오고 처리하는 핵심 노드입니다. 노드를 불러오면 `ComfyUI/input/3d/`에서 사용 가능한 3D 리소스를 자동으로 검색합니다. 또한 업로드 기능을 사용하여 지원되는 3D 파일을 업로드하여 미리 볼 수 있습니다. + +> - 이 노드의 대부분의 기능은 Load 3D 노드와 동일하지만, 이 노드는 애니메이션이 포함된 모델을 불러오기를 지원하며 노드에서 해당 애니메이션을 미리 볼 수 있습니다. +> - 본 문서의 내용은 Load3D 노드와 동일합니다. 애니메이션 미리보기 및 재생을 제외하면 기능이 완전히 동일하기 때문입니다. + +**지원 형식** +현재 이 노드는 `.gltf`, `.glb`, `.obj`, `.fbx`, `.stl`을 포함한 여러 3D 파일 형식을 지원합니다. + +**3D 노드 환경설정** +3D 노드 관련 환경설정은 ComfyUI의 설정 메뉴에서 구성할 수 있습니다. 해당 설정에 대한 자세한 내용은 다음 문서를 참조하십시오: + +[설정 메뉴](https://docs.comfy.org/interface/settings/3d) + +일반 노드 출력 외에도 Load3D는 캔버스 메뉴에 다양한 3D 보기 관련 설정을 제공합니다. + +## 입력 + +| 매개변수명 | 설명 | 유형 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | +| `model_file` | 3D 모델 파일 경로, 업로드 지원, 기본적으로 `ComfyUI/input/3d/`에서 모델 파일 읽기 | 파일 선택 | - | 지원 형식 | +| `width` | 캔버스 렌더링 너비 | INT | 1024 | 1-4096 | +| `height` | 캔버스 렌더링 높이 | INT | 1024 | 1-4096 | + +## 출력 + +| 매개변수명 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `image` | 캔버스 렌더링 이미지 | IMAGE | +| `mask` | 현재 모델 위치를 포함하는 마스크 | MASK | +| `mesh_path` | 모델 파일 경로 | STRING | +| `normal` | 노멀 맵 | IMAGE | +| `lineart` | 라인 아트 이미지 출력, 해당 `edge_threshold`는 캔버스 모델 메뉴에서 조정 가능 | IMAGE | +| `camera_info` | 카메라 정보 | LOAD3D_CAMERA | +| `recording_video` | 녹화된 비디오(녹화가 있는 경우에만) | VIDEO | + +모든 출력 미리보기: +![뷰 작동 데모](/images/built-in-nodes/Load3DAnimation/load3d_outputs.webp) + +## 캔버스 영역 설명 + +Load3D 노드의 캔버스 영역에는 다음과 같은 다양한 뷰 작업이 포함됩니다: + +- 미리보기 뷰 설정(그리드, 배경색, 미리보기 뷰) +- 카메라 제어: FOV 제어, 카메라 유형 +- 전역 조명 강도: 조명 강도 조정 +- 비디오 녹화: 비디오 녹화 및 내보내기 +- 모델 내보내기: `GLB`, `OBJ`, `STL` 형식 지원 +- 그 외 다양한 기능 + +![Load 3D 노드 UI](/images/built-in-nodes/Load3DAnimation/load3d_ui.jpg) + +1. Load 3D 노드의 여러 메뉴 및 숨겨진 메뉴 포함 +2. `미리보기 창 크기 조정` 및 `캔버스 비디오 녹화` 메뉴 +3. 3D 뷰 작업 축 +4. 미리보기 썸네일 +5. 미리보기 크기 설정, 치수 설정 후 창 크기 조정으로 미리보기 뷰 배율 조정 + +### 1. 뷰 작업 + + + +뷰 제어 작업: + +- 왼쪽 클릭 + 드래그: 뷰 회전 +- 오른쪽 클릭 + 드래그: 뷰 이동 +- 휠 스크롤 또는 가운데 클릭 + 드래그: 확대/축소 +- 좌표축: 뷰 전환 + +### 2. 왼쪽 메뉴 기능 + +![메뉴](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) + +캔버스에서 일부 설정은 메뉴에 숨겨져 있습니다. 메뉴 버튼을 클릭하여 다양한 메뉴를 펼칠 수 있습니다 + +- 1. 장면: 미리보기 창 그리드, 배경색, 미리보기 설정 포함 +- 2. 모델: 모델 렌더링 모드, 텍스처 재질, 위쪽 방향 설정 +- 3. 카메라: 직교 뷰와 원근 뷰 전환 및 원근 각도 크기 설정 +- 4. 조명: 장면 전역 조명 강도 +- 5. 내보내기: 모델을 다른 형식으로 내보내기(GLB, OBJ, STL) + +#### 장면 + +![장면 메뉴](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) + +장면 메뉴는 몇 가지 기본 장면 설정 기능을 제공합니다 + +1. 그리드 표시/숨기기 +2. 배경색 설정 +3. 배경 이미지 업로드를 위한 클릭 +4. 미리보기 숨기기 + +#### 모델 + +![메뉴_장면](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) + +모델 메뉴는 몇 가지 모델 관련 기능을 제공합니다 + +1. **위쪽 방향**: 모델의 위쪽 방향이 될 축 지정 +2. **재질 모드**: 모델 렌더링 모드 전환 - 원본, 노멀, 와이어프레임, 라인아트 + +#### 카메라 + +![메뉴_모델메뉴_카메라](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) + +이 메뉴는 직교 뷰와 원근 뷰 전환 및 원근 각도 크기 설정을 제공합니다 + +1. **카메라**: 직교 뷰와 원근 뷰 간 빠른 전환 +2. **FOV**: FOV 각도 조정 + +#### 조명 + +![메뉴_모델메뉴_카메라](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) + +이 메뉴를 통해 장면의 전역 조명 강도를 빠르게 조정할 수 있습니다 + +#### 내보내기 + +![메뉴_내보내기](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) + +이 메뉴는 모델 형식을 빠르게 변환하고 내보내는 기능을 제공합니다 + +### 3. 오른쪽 메뉴 기능 + + + +오른쪽 메뉴에는 두 가지 주요 기능이 있습니다: + +1. **뷰 비율 재설정**: 버튼 클릭 후 설정된 너비와 높이에 따라 뷰가 캔버스 렌더링 영역 비율을 조정합니다 +2. **비디오 녹화**: 현재 3D 뷰 작업을 비디오로 녹화할 수 있으며, 가져오기를 허용하고 `recording_video`로 후속 노드에 출력할 수 있습니다 + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Load3DAnimation/ko.md) diff --git a/ko/built-in-nodes/LoadAudio.mdx b/ko/built-in-nodes/LoadAudio.mdx new file mode 100644 index 000000000..192ac1300 --- /dev/null +++ b/ko/built-in-nodes/LoadAudio.mdx @@ -0,0 +1,29 @@ +--- +title: "LoadAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadAudio" +icon: "circle" +mode: wide +--- +# LoadAudio 노드 + +LoadAudio 노드는 입력 디렉토리에서 오디오 파일을 불러와 ComfyUI의 다른 오디오 노드에서 처리할 수 있는 형식으로 변환합니다. 이 노드는 오디오 파일을 읽어 파형 데이터와 샘플 레이트를 추출하여 다운스트림 오디오 처리 작업에 사용할 수 있도록 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `오디오` | 입력 디렉토리에서 불러올 오디오 파일 | AUDIO | 예 | 입력 디렉토리의 지원되는 모든 오디오 및 비디오 파일 | + +**참고:** 이 노드는 ComfyUI의 입력 디렉토리에 있는 오디오 및 비디오 파일만 허용합니다. 파일이 존재하고 접근 가능해야 정상적으로 불러올 수 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `AUDIO` | 파형 및 샘플 레이트 정보를 포함하는 오디오 데이터 | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `a7fe63cbbb3a854359189e8685936a2b8b855e22c3c282fc77affacf640af010` diff --git a/ko/built-in-nodes/LoadBackgroundRemovalModel.mdx b/ko/built-in-nodes/LoadBackgroundRemovalModel.mdx new file mode 100644 index 000000000..aa88369b4 --- /dev/null +++ b/ko/built-in-nodes/LoadBackgroundRemovalModel.mdx @@ -0,0 +1,27 @@ +--- +title: "LoadBackgroundRemovalModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadBackgroundRemovalModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadBackgroundRemovalModel" +icon: "circle" +mode: wide +--- +## 개요 + +파일에서 배경 제거 모델을 불러옵니다. 이 노드는 이미지에서 배경을 제거하는 데 사용할 모델을 준비합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `bg_removal_name` | 이미지에서 배경을 제거하는 데 사용할 모델입니다. 사용 가능한 배경 제거 모델 파일 목록에서 선택하세요. | STRING | 예 | 사용 가능한 모델 파일 목록 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `bg_model` | 로드된 배경 제거 모델로, 다른 노드에서 이미지 처리를 위해 사용할 준비가 되었습니다. | BACKGROUND_REMOVAL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadBackgroundRemovalModel/ko.md) + +--- +**Source fingerprint (SHA-256):** `63a1ffb37ea8581e3ba29f7dc4f871612d7ec458e6d36f5e2244201941d48f9d` diff --git a/ko/built-in-nodes/LoadImage.mdx b/ko/built-in-nodes/LoadImage.mdx new file mode 100644 index 000000000..3fe1a9843 --- /dev/null +++ b/ko/built-in-nodes/LoadImage.mdx @@ -0,0 +1,23 @@ +--- +title: "LoadImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadImage" +icon: "circle" +mode: wide +--- +LoadImage 노드는 지정된 경로에서 이미지를 불러와 전처리하도록 설계되었습니다. 여러 프레임이 있는 이미지 형식을 처리하고, EXIF 데이터에 기반한 회전 등 필요한 변환을 적용하며, 픽셀 값을 정규화하고, 알파 채널이 있는 이미지의 경우 선택적으로 마스크를 생성합니다. 이 노드는 파이프라인 내에서 추가 처리 또는 분석을 위해 이미지를 준비하는 데 필수적입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 'image' 매개변수는 불러와서 처리할 이미지의 식별자를 지정합니다. 이미지 파일의 경로를 결정하고, 이후 변환 및 정규화를 위해 이미지를 불러오는 데 중요합니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 픽셀 값이 정규화되고 필요에 따라 변환이 적용된 처리된 이미지입니다. 추가 처리 또는 분석을 위해 준비된 상태입니다. | `IMAGE` | +| `mask` | 이미지에 대한 마스크를 제공하는 선택적 출력으로, 이미지에 투명도를 위한 알파 채널이 포함된 경우 유용합니다. | `MASK` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImage/ko.md) diff --git a/ko/built-in-nodes/LoadImageDataSetFromFolder.mdx b/ko/built-in-nodes/LoadImageDataSetFromFolder.mdx new file mode 100644 index 000000000..e1036aeb8 --- /dev/null +++ b/ko/built-in-nodes/LoadImageDataSetFromFolder.mdx @@ -0,0 +1,27 @@ +--- +title: "LoadImageDataSetFromFolder - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageDataSetFromFolder node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadImageDataSetFromFolder" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/en.md) + +이 노드는 ComfyUI의 입력 디렉터리 내에 있는 지정된 하위 폴더에서 여러 이미지를 불러옵니다. 선택한 폴더에서 일반적인 이미지 파일 형식을 검색하여 목록으로 반환하므로, 일괄 처리나 데이터셋 준비에 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `폴더` | 이미지를 불러올 폴더입니다. 옵션은 ComfyUI의 기본 입력 디렉터리에 있는 하위 폴더들입니다. | STRING | 예 | *여러 옵션 사용 가능* | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `images` | 불러온 이미지 목록입니다. 이 노드는 선택한 폴더에서 발견된 모든 유효한 이미지 파일(PNG, JPG, JPEG, WEBP)을 불러옵니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/ko.md) + +--- +**Source fingerprint (SHA-256):** `0f6e1b3d159f7d7c0c9530350ee057118a2618796f149586bae925253ecc8cf0` diff --git a/ko/built-in-nodes/LoadImageMask.mdx b/ko/built-in-nodes/LoadImageMask.mdx new file mode 100644 index 000000000..6ffdb680e --- /dev/null +++ b/ko/built-in-nodes/LoadImageMask.mdx @@ -0,0 +1,23 @@ +--- +title: "LoadImageMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadImageMask" +icon: "circle" +mode: wide +--- +LoadImageMask 노드는 지정된 경로에서 이미지와 관련 마스크를 로드하여, 추가 이미지 조작 또는 분석 작업과의 호환성을 보장하도록 처리합니다. 이 노드는 알파 채널 유무 등 다양한 이미지 형식과 조건을 처리하는 데 중점을 두며, 이미지와 마스크를 표준화된 형식으로 변환하여 다운스트림 처리를 준비합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지` | 'image' 매개변수는 로드 및 처리할 이미지 파일을 지정합니다. 마스크 추출 및 형식 변환을 위한 원본 이미지를 제공하여 출력을 결정하는 중요한 역할을 합니다. | COMBO[STRING] | +| `채널` | 'channel' 매개변수는 마스크를 생성하는 데 사용될 이미지의 색상 채널을 지정합니다. 이를 통해 다양한 색상 채널을 기반으로 유연하게 마스크를 생성할 수 있어, 다양한 이미지 처리 시나리오에서 노드의 유용성을 높여줍니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `mask` | 이 노드는 지정된 이미지와 채널에서 생성된 마스크를 출력하며, 이미지 조작 작업에서 추가 처리가 가능하도록 표준화된 형식으로 준비됩니다. | `MASK` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageMask/ko.md) diff --git a/ko/built-in-nodes/LoadImageOutput.mdx b/ko/built-in-nodes/LoadImageOutput.mdx new file mode 100644 index 000000000..191708353 --- /dev/null +++ b/ko/built-in-nodes/LoadImageOutput.mdx @@ -0,0 +1,28 @@ +--- +title: "LoadImageOutput - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageOutput node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadImageOutput" +icon: "circle" +mode: wide +--- +# LoadImageOutput 노드 + +LoadImageOutput 노드는 출력 폴더에서 이미지를 불러옵니다. 새로고침 버튼을 클릭하면 사용 가능한 이미지 목록이 업데이트되고 첫 번째 이미지가 자동으로 선택되어, 생성된 이미지를 순차적으로 확인하기 쉽습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 출력 폴더에서 이미지를 불러옵니다. 업로드 옵션과 이미지 목록을 업데이트하는 새로고침 버튼이 포함되어 있습니다. 새로고침 버튼을 클릭하면 이미지 목록이 업데이트되고 첫 번째 이미지가 자동으로 선택되어, 순차적으로 확인하기 쉽습니다. | COMBO | 예 | 여러 옵션 사용 가능 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 출력 폴더에서 불러온 이미지 | IMAGE | +| `mask` | 불러온 이미지와 연결된 마스크 | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageOutput/ko.md) + +--- +**Source fingerprint (SHA-256):** `d1de0140765c9d5dd393715faa84dc5c3f0e49117391b8823a51b176bcb568d8` diff --git a/ko/built-in-nodes/LoadImageSetFromFolderNode.mdx b/ko/built-in-nodes/LoadImageSetFromFolderNode.mdx new file mode 100644 index 000000000..e3fbd41eb --- /dev/null +++ b/ko/built-in-nodes/LoadImageSetFromFolderNode.mdx @@ -0,0 +1,28 @@ +--- +title: "LoadImageSetFromFolderNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageSetFromFolderNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadImageSetFromFolderNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetFromFolderNode/en.md) + +LoadImageSetFromFolderNode는 학습 목적으로 지정된 폴더 디렉터리에서 여러 이미지를 불러옵니다. 일반적인 이미지 형식을 자동으로 감지하며, 필요에 따라 다양한 방법을 사용하여 이미지 크기를 조정한 후 배치 형태로 반환할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `folder` | 이미지를 불러올 폴더입니다. | STRING | 예 | 여러 옵션 사용 가능 | +| `resize_method` | 이미지 크기 조정에 사용할 방법입니다(기본값: "None"). | STRING | 아니요 | "None"
"Stretch"
"Crop"
"Pad" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 불러온 이미지들을 하나의 텐서로 결합한 배치입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetFromFolderNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `46fcfbf6a2ad95e707e32e54ed7b4c06bfd1cc290df122042187689f41bed828` diff --git a/ko/built-in-nodes/LoadImageSetNode.mdx b/ko/built-in-nodes/LoadImageSetNode.mdx new file mode 100644 index 000000000..b20ed55ee --- /dev/null +++ b/ko/built-in-nodes/LoadImageSetNode.mdx @@ -0,0 +1,26 @@ +--- +title: "LoadImageSetNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageSetNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadImageSetNode" +icon: "circle" +mode: wide +--- +LoadImageSetNode는 입력 디렉터리에서 여러 이미지를 로드하여 배치 처리 및 학습 목적으로 사용합니다. 다양한 이미지 형식을 지원하며, 필요에 따라 여러 방법을 사용하여 이미지 크기를 조정할 수 있습니다. 이 노드는 선택된 모든 이미지를 배치로 처리하여 단일 텐서로 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `images` | 입력 디렉터리에서 여러 이미지를 선택합니다. PNG, JPG, JPEG, WEBP, BMP, GIF, JPE, APNG, TIF, TIFF 형식을 지원합니다. 이미지를 배치로 선택할 수 있습니다. | IMAGE | 예 | 여러 이미지 파일 | +| `resize_method` | 로드된 이미지의 크기를 조정하는 선택적 방법입니다(기본값: "None"). "None"을 선택하면 원본 크기를 유지하고, "Stretch"는 강제로 크기를 조정하며, "Crop"은 종횡비를 유지하면서 자르고, "Pad"는 패딩을 추가하여 종횡비를 유지합니다. | STRING | 아니요 | "None"
"Stretch"
"Crop"
"Pad" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 모든 로드된 이미지를 배치로 포함하는 텐서로, 추가 처리를 위해 사용됩니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `acf0255bcf170ef3ac3b86a3f3e060c3b81064ca8924918a026ec8e3b86f7ac0` diff --git a/ko/built-in-nodes/LoadImageTextDataSetFromFolder.mdx b/ko/built-in-nodes/LoadImageTextDataSetFromFolder.mdx new file mode 100644 index 000000000..271a6995b --- /dev/null +++ b/ko/built-in-nodes/LoadImageTextDataSetFromFolder.mdx @@ -0,0 +1,30 @@ +--- +title: "LoadImageTextDataSetFromFolder - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageTextDataSetFromFolder node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadImageTextDataSetFromFolder" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/en.md) + +이 노드는 지정된 폴더에서 이미지와 해당 텍스트 캡션으로 구성된 데이터셋을 불러옵니다. 이미지 파일을 검색하고, 동일한 기본 이름을 가진 일치하는 `.txt` 파일을 자동으로 찾아 캡션으로 사용합니다. 또한, 하위 폴더 이름에 숫자 접두사(예: `10_folder_name`)를 사용하여 해당 폴더 내 이미지가 출력에서 여러 번 반복되도록 지정할 수 있는 특정 폴더 구조를 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `폴더` | 이미지를 불러올 폴더입니다. 사용 가능한 옵션은 ComfyUI 입력 디렉터리 내의 하위 디렉터리입니다. | COMBO | 예 | *`folder_paths.get_input_subfolders()`에서 동적으로 불러옴* | + +**참고:** 노드는 특정 파일 구조를 필요로 합니다. 각 이미지 파일(`.png`, `.jpg`, `.jpeg`, `.webp`)에 대해 동일한 이름의 `.txt` 파일을 찾아 캡션으로 사용합니다. 캡션 파일이 없으면 빈 문자열이 사용됩니다. 또한, 하위 폴더 이름이 숫자와 밑줄로 시작하는 경우(예: `5_cats`) 해당 하위 폴더의 모든 이미지가 최종 출력 목록에서 해당 숫자만큼 반복되는 특수 구조를 지원합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `텍스트` | 불러온 이미지 텐서 목록입니다. | IMAGE | +| `texts` | 각 이미지에 해당하는 텍스트 캡션 목록입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/ko.md) + +--- +**Source fingerprint (SHA-256):** `e176f35118f08ea397c63f5b6f347d9cdb3dc1a08db7ad7a5cc8255e1526e6ca` diff --git a/ko/built-in-nodes/LoadImageTextSetFromFolderNode.mdx b/ko/built-in-nodes/LoadImageTextSetFromFolderNode.mdx new file mode 100644 index 000000000..08cf27d02 --- /dev/null +++ b/ko/built-in-nodes/LoadImageTextSetFromFolderNode.mdx @@ -0,0 +1,36 @@ +--- +title: "LoadImageTextSetFromFolderNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageTextSetFromFolderNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadImageTextSetFromFolderNode" +icon: "circle" +mode: wide +--- +# LoadImageTextSetFromFolderNode + +지정된 디렉토리에서 학습용 이미지 배치와 해당 이미지의 텍스트 캡션을 로드합니다. 이 노드는 자동으로 이미지 파일과 연결된 캡션 텍스트 파일을 검색하고, 지정된 크기 조정 설정에 따라 이미지를 처리한 후 제공된 CLIP 모델을 사용하여 캡션을 인코딩합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `folder` | 이미지를 로드할 폴더입니다. | STRING | 예 | - | +| `clip` | 텍스트 인코딩에 사용되는 CLIP 모델입니다. | CLIP | 예 | - | +| `resize_method` | 이미지 크기 조정 방법입니다 (기본값: "None"). | COMBO | 아니요 | "None"
"Stretch"
"Crop"
"Pad" | +| `width` | 이미지 크기를 조정할 너비입니다. -1은 원본 너비를 사용함을 의미합니다 (기본값: -1). | INT | 아니요 | -1 ~ 10000 | +| `height` | 이미지 크기를 조정할 높이입니다. -1은 원본 높이를 사용함을 의미합니다 (기본값: -1). | INT | 아니요 | -1 ~ 10000 | + +**참고:** CLIP 입력은 유효해야 하며 None일 수 없습니다. 체크포인트 로더 노드에서 CLIP 모델을 가져오는 경우, 체크포인트에 유효한 CLIP 또는 텍스트 인코더 모델이 포함되어 있는지 확인하십시오. + +**폴더 구조 참고:** 이 노드는 kohya-ss/sd-scripts 폴더 구조를 지원합니다. 하위 폴더 이름이 숫자 뒤에 밑줄로 시작하는 경우(예: `5_myclass`), 해당 숫자는 반복 횟수로 사용되며 해당 하위 폴더 내의 이미지가 그 횟수만큼 로드됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 로드 및 처리된 이미지 배치입니다. | IMAGE | +| `CONDITIONING` | 텍스트 캡션에서 인코딩된 컨디셔닝 데이터입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextSetFromFolderNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `ffd6399783fc281a58bae811112d9ecacb51ab8ea3b512befa9b9fab2c6860de` diff --git a/ko/built-in-nodes/LoadLatent.mdx b/ko/built-in-nodes/LoadLatent.mdx new file mode 100644 index 000000000..a3d84c71a --- /dev/null +++ b/ko/built-in-nodes/LoadLatent.mdx @@ -0,0 +1,25 @@ +--- +title: "LoadLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadLatent" +icon: "circle" +mode: wide +--- +LoadLatent 노드는 입력 디렉토리에 있는 .latent 파일에서 이전에 저장된 잠재 표현을 불러옵니다. 파일에서 잠재 텐서 데이터를 읽고 필요한 스케일링 조정을 적용한 후, 다른 노드에서 사용할 수 있도록 잠재 데이터를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `잠재 데이터` | 입력 디렉토리에 있는 사용 가능한 파일 중에서 불러올 .latent 파일을 선택합니다 | STRING | 예 | 입력 디렉토리의 모든 .latent 파일 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `LATENT` | 선택한 파일에서 불러온 잠재 표현 데이터를 반환합니다 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadLatent/ko.md) + +--- +**Source fingerprint (SHA-256):** `020185a6066263b75b2417411f07af54d31a2a3a056d650eacfff188dc2cb87e` diff --git a/ko/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx b/ko/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx new file mode 100644 index 000000000..fed676d2a --- /dev/null +++ b/ko/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx @@ -0,0 +1,29 @@ +--- +title: "LoadMediaPipeFaceLandmarker - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadMediaPipeFaceLandmarker node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadMediaPipeFaceLandmarker" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 이미지에서 얼굴과 얼굴 랜드마크(눈, 코, 입 등)를 감지할 수 있는 MediaPipe Face Landmarker v2 모델을 로드합니다. 근거리 탐지와 원거리 탐지의 두 가지 변형과 함께 얼굴 분석을 위한 공유 메시 데이터, 블렌드쉐이프, 표준 기하학 데이터를 포함합니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model_name` | `models/detection/` 경로의 얼굴 감지 모델입니다. | STRING | 예 | `models/detection/` 디렉토리에 있는 사용 가능한 모델 목록 | + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `FACE_DETECTION_MODEL` | 로드된 FaceLandmarker 모델 객체로, 두 가지 탐지 변형(근거리/원거리), 얼굴 위상 연결 세트, 표준 데이터, GPU 관리를 위한 모델 패처를 포함합니다. | FACE_DETECTION_MODEL | + +**참고:** 출력은 복잡한 객체로, 얼굴 감지 및 랜드마크 추출 작업을 위해 다른 노드에서 사용할 수 있습니다. 여기에는 근거리 탐지를 위한 "short" 변형과 원거리 탐지를 위한 "full" 변형의 두 가지 탐지 변형이 포함되어 있습니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ko.md) + +--- +**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26` diff --git a/ko/built-in-nodes/LoadMoGeModel.mdx b/ko/built-in-nodes/LoadMoGeModel.mdx new file mode 100644 index 000000000..a62546045 --- /dev/null +++ b/ko/built-in-nodes/LoadMoGeModel.mdx @@ -0,0 +1,27 @@ +--- +title: "LoadMoGeModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadMoGeModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadMoGeModel" +icon: "circle" +mode: wide +--- +# 개요 + +MoGe(단안 기하학) 모델을 파일에서 불러와 기하학 추정 작업에 사용할 수 있도록 준비합니다. 이 노드는 `geometry_estimation` 폴더에서 모델 파일을 읽어 훈련된 가중치로 MoGe 모델을 초기화합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model_name` | 불러올 MoGe 모델 파일의 이름입니다. ComfyUI 설치 환경에서 사용 가능한 모델 파일 중에서 선택하십시오. | STRING | 예 | `geometry_estimation` 폴더에 있는 사용 가능한 모델 파일 목록 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MOGE_MODEL` | 불러온 MoGe 모델 인스턴스로, 기하학 추정 워크플로우에서 사용할 준비가 완료된 상태입니다. | MOGE_MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/ko.md) + +--- +**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1` diff --git a/ko/built-in-nodes/LoadTrainingDataset.mdx b/ko/built-in-nodes/LoadTrainingDataset.mdx new file mode 100644 index 000000000..ff9457825 --- /dev/null +++ b/ko/built-in-nodes/LoadTrainingDataset.mdx @@ -0,0 +1,28 @@ +--- +title: "LoadTrainingDataset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadTrainingDataset node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadTrainingDataset" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/en.md) + +이 노드는 이전에 디스크에 저장된 인코딩된 학습 데이터셋을 불러옵니다. ComfyUI 출력 디렉터리 내의 지정된 폴더에서 모든 데이터 샤드 파일을 검색하여 읽어온 후, 결합된 잠재 벡터와 컨디셔닝 데이터를 반환하여 학습 워크플로우에서 사용할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `folder_name` | ComfyUI 출력 디렉터리 내에 위치한, 저장된 데이터셋이 포함된 폴더 이름입니다(기본값: "training_dataset"). | STRING | 예 | 해당 없음 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `conditioning` | 각 딕셔너리에 `"samples"` 키와 텐서가 포함된 잠재 딕셔너리 목록입니다. | LATENT | +| `conditioning` | 각 내부 리스트에 해당 샘플의 컨디셔닝 데이터가 포함된 컨디셔닝 리스트 목록입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/ko.md) + +--- +**Source fingerprint (SHA-256):** `0a07c97e2c6a32f77cd21ea7dbdd33e06fad82285696b88122fef369307e133d` diff --git a/ko/built-in-nodes/LoadVideo.mdx b/ko/built-in-nodes/LoadVideo.mdx new file mode 100644 index 000000000..860b2696c --- /dev/null +++ b/ko/built-in-nodes/LoadVideo.mdx @@ -0,0 +1,29 @@ +--- +title: "LoadVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadVideo" +icon: "circle" +mode: wide +--- +# Load Video (비디오 로드) + +비디오 로드 노드는 입력 디렉토리에서 비디오 파일을 불러와 워크플로우에서 처리할 수 있도록 제공합니다. 지정된 입력 폴더에서 비디오 파일을 읽어 다른 비디오 처리 노드에 연결할 수 있는 비디오 데이터로 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `파일` | 입력 디렉토리에서 불러올 비디오 파일입니다. 드롭다운 목록은 ComfyUI 입력 폴더에서 찾은 모든 비디오 파일로 동적으로 채워집니다. | STRING | 예 | 여러 옵션 사용 가능 | + +**참고:** `file` 매개변수의 사용 가능한 옵션은 입력 디렉토리에 있는 비디오 파일에서 동적으로 채워집니다. 지원되는 콘텐츠 유형의 비디오 파일만 표시됩니다. 노드의 파일 선택기 인터페이스를 통해 새 비디오 파일을 직접 업로드할 수도 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `video` | 로드된 비디오 데이터로, 추가 조작이나 분석을 위해 다른 비디오 처리 노드에 전달할 수 있습니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `e3d18eb43cba34734761b5b147d9fee91fe3ca99db21f9e19a130efc3349cecb` diff --git a/ko/built-in-nodes/LoraLoader.mdx b/ko/built-in-nodes/LoraLoader.mdx new file mode 100644 index 000000000..e1b2c1088 --- /dev/null +++ b/ko/built-in-nodes/LoraLoader.mdx @@ -0,0 +1,36 @@ +--- +title: "LoraLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoraLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoraLoader" +icon: "circle" +mode: wide +--- +이 노드는 LoRA 폴더(하위 폴더 포함)에 있는 모델을 자동으로 감지하며, 해당 모델 경로는 `ComfyUI\models\loras`입니다. 자세한 내용은 LoRA 모델 설치를 참고하십시오. + +LoRA 로더 노드는 주로 LoRA 모델을 불러오는 데 사용됩니다. LoRA 모델을 이미지에 특정 스타일, 콘텐츠 및 세부 정보를 부여할 수 있는 필터라고 생각하시면 됩니다: + +- 특정 예술 스타일 적용 (예: 수묵화) +- 특정 캐릭터의 특징 추가 (예: 게임 캐릭터) +- 이미지에 특정 세부 정보 추가 +이 모든 것이 LoRA를 통해 가능합니다. + +여러 개의 LoRA 모델을 불러와야 하는 경우, 아래와 같이 여러 노드를 직접 연결하여 사용할 수 있습니다: + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 일반적으로 기본 모델에 연결하는 데 사용됩니다 | MODEL | +| `clip` | 일반적으로 CLIP 모델에 연결하는 데 사용됩니다 | CLIP | +| `LoRA 이름` | 사용할 LoRA 모델의 이름을 선택합니다 | COMBO[STRING] | +| `모델 강도` | 값 범위는 -100.0에서 100.0까지이며, 일상적인 이미지 생성에서는 주로 0~1 사이에서 사용됩니다. 값이 높을수록 모델 조정 효과가 더 두드러집니다 | FLOAT | +| `clip 강도` | 값 범위는 -100.0에서 100.0까지이며, 일상적인 이미지 생성에서는 주로 0~1 사이에서 사용됩니다. 값이 높을수록 모델 조정 효과가 더 두드러집니다 | FLOAT | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | LoRA 조정이 적용된 모델입니다 | MODEL | +| `clip` | LoRA 조정이 적용된 CLIP 인스턴스입니다 | CLIP | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoader/ko.md) diff --git a/ko/built-in-nodes/LoraLoaderBypass.mdx b/ko/built-in-nodes/LoraLoaderBypass.mdx new file mode 100644 index 000000000..051928f8d --- /dev/null +++ b/ko/built-in-nodes/LoraLoaderBypass.mdx @@ -0,0 +1,32 @@ +--- +title: "LoraLoaderBypass - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoraLoaderBypass node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoraLoaderBypass" +icon: "circle" +mode: wide +--- +LoraLoaderBypass 노드는 특수한 "우회(bypass)" 모드로 확산 모델과 CLIP 모델에 LoRA(저차원 적응)를 적용합니다. 표준 LoRA 로더와 달리, 이 방식은 기본 모델의 가중치를 영구적으로 수정하지 않습니다. 대신 LoRA의 효과를 모델의 정상 순방향 전달에 추가하여 출력을 계산하므로, 학습 중이거나 가중치가 오프로드된 모델로 작업할 때 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | LoRA가 적용될 확산 모델입니다. | MODEL | 예 | - | +| `clip` | LoRA가 적용될 CLIP 모델입니다. | CLIP | 예 | - | +| `lora_name` | 적용할 LoRA 파일의 이름입니다. 옵션은 `loras` 폴더에서 불러옵니다. | COMBO | 예 | *사용 가능한 LoRA 파일 목록* | +| `strength_model` | 확산 모델을 수정하는 강도입니다. 음수 값도 가능합니다(기본값: 1.0). | FLOAT | 예 | -100.0 ~ 100.0 | +| `strength_clip` | CLIP 모델을 수정하는 강도입니다. 음수 값도 가능합니다(기본값: 1.0). | FLOAT | 예 | -100.0 ~ 100.0 | + +**참고:** `strength_model`과 `strength_clip`이 모두 0으로 설정된 경우, 노드는 처리 없이 원래의 수정되지 않은 `model` 및 `clip` 입력을 반환합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MODEL` | 우회 모드로 LoRA가 적용된 확산 모델입니다. | MODEL | +| `CLIP` | 우회 모드로 LoRA가 적용된 CLIP 모델입니다. | CLIP | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypass/ko.md) + +--- +**Source fingerprint (SHA-256):** `2642f4ed98457e5fd08e2103ffb9f2c02f11326590aadf0636fb7db51f484815` diff --git a/ko/built-in-nodes/LoraLoaderBypassModelOnly.mdx b/ko/built-in-nodes/LoraLoaderBypassModelOnly.mdx new file mode 100644 index 000000000..b8b358534 --- /dev/null +++ b/ko/built-in-nodes/LoraLoaderBypassModelOnly.mdx @@ -0,0 +1,29 @@ +--- +title: "LoraLoaderBypassModelOnly - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoraLoaderBypassModelOnly node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoraLoaderBypassModelOnly" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypassModelOnly/en.md) + +이 노드는 LoRA(저차원 적응)를 모델에 적용하여 동작을 수정하지만, 모델 구성 요소 자체에만 영향을 미칩니다. 지정된 LoRA 파일을 로드하고 주어진 강도로 모델의 가중치를 조정하며, CLIP 텍스트 인코더와 같은 다른 구성 요소는 변경하지 않습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | LoRA 조정이 적용될 기본 모델입니다. | MODEL | 예 | - | +| `lora_name` | 로드하여 적용할 LoRA 파일의 이름입니다. 옵션은 `loras` 디렉토리의 파일로 채워집니다. | STRING | 예 | (사용 가능한 LoRA 파일 목록) | +| `strength_model` | 모델 가중치에 대한 LoRA 효과의 강도입니다. 양수 값은 LoRA를 적용하고, 음수 값은 역방향을 적용하며, 0 값은 효과가 없습니다(기본값: 1.0). | FLOAT | 예 | -100.0 ~ 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 가중치에 LoRA 조정이 적용된 수정된 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypassModelOnly/ko.md) + +--- +**Source fingerprint (SHA-256):** `e0e1ad2d6481a1b9771d7eae833ffab0737a967d4af6e57b946d1b2223fe45bf` diff --git a/ko/built-in-nodes/LoraLoaderModelOnly.mdx b/ko/built-in-nodes/LoraLoaderModelOnly.mdx new file mode 100644 index 000000000..bac384a76 --- /dev/null +++ b/ko/built-in-nodes/LoraLoaderModelOnly.mdx @@ -0,0 +1,26 @@ +--- +title: "LoraLoaderModelOnly - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoraLoaderModelOnly node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoraLoaderModelOnly" +icon: "circle" +mode: wide +--- +이 노드는 `ComfyUI/models/loras` 폴더에 있는 모델을 감지하며, extra_model_paths.yaml 파일에 설정된 추가 경로의 모델도 읽어옵니다. 경우에 따라 **ComfyUI 인터페이스를 새로고침**하여 해당 폴더에서 모델 파일을 읽도록 해야 할 수 있습니다. + +이 노드는 CLIP 모델 없이 LoRA 모델을 로드하는 데 특화되어 있으며, LoRA 매개변수를 기반으로 주어진 모델을 강화하거나 수정하는 데 중점을 둡니다. LoRA 매개변수를 통해 모델 강도를 동적으로 조정할 수 있어, 모델 동작에 대한 세밀한 제어를 가능하게 합니다. + +## 입력 + +| 필드 | 설명 | Comfy 자료형 | +| --- | --- | --- | +| `모델` | 수정할 기본 모델로, LoRA 조정이 적용됩니다. | `MODEL` | +| `LoRA 이름` | 로드할 LoRA 파일의 이름으로, 모델에 적용할 조정 사항을 지정합니다. | `COMBO[STRING]` | +| `모델 강도` | LoRA 조정의 강도를 결정하며, 값이 높을수록 더 강력한 수정을 의미합니다. | `FLOAT` | + +## 출력 + +| 필드 | 설명 | 자료형 | +| --- | --- | --- | +| `모델` | LoRA 조정이 적용된 수정된 모델로, 모델 동작 또는 기능의 변화를 반영합니다. | `MODEL` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderModelOnly/ko.md) diff --git a/ko/built-in-nodes/LoraModelLoader.mdx b/ko/built-in-nodes/LoraModelLoader.mdx new file mode 100644 index 000000000..d6995ad06 --- /dev/null +++ b/ko/built-in-nodes/LoraModelLoader.mdx @@ -0,0 +1,30 @@ +--- +title: "LoraModelLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoraModelLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoraModelLoader" +icon: "circle" +mode: wide +--- +LoraModelLoader 노드는 학습된 LoRA(Low-Rank Adaptation) 가중치를 확산 모델에 적용합니다. 학습된 LoRA 모델에서 가중치를 불러오고 영향 강도를 조정하여 기본 모델을 수정합니다. 이를 통해 확산 모델을 처음부터 다시 학습시키지 않고도 동작을 사용자 지정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | LoRA가 적용될 확산 모델입니다. | MODEL | 예 | - | +| `LoRA` | 확산 모델에 적용할 LoRA 모델입니다. | LORA_MODEL | 예 | - | +| `모델 강도` | 확산 모델을 수정하는 강도입니다. 음수 값도 설정할 수 있습니다 (기본값: 1.0). | FLOAT | 예 | -100.0 ~ 100.0 | +| `bypass` | 활성화하면 기본 모델 가중치를 수정하지 않고 LoRA를 우회 모드로 적용합니다. 학습 중이거나 모델 가중치가 오프로드된 경우 유용합니다 (기본값: False). | BOOLEAN | 예 | True 또는 False | + +**참고:** `strength_model`이 0으로 설정되면 노드는 LoRA 수정을 적용하지 않고 원본 모델을 반환합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | LoRA 가중치가 적용된 수정된 확산 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraModelLoader/ko.md) + +--- +**Source fingerprint (SHA-256):** `82afa7dbbc990f1a9f202f920aaf8fad7fe69dc35e75ed8a95eb63c9dec74961` diff --git a/ko/built-in-nodes/LoraSave.mdx b/ko/built-in-nodes/LoraSave.mdx new file mode 100644 index 000000000..a80e86769 --- /dev/null +++ b/ko/built-in-nodes/LoraSave.mdx @@ -0,0 +1,32 @@ +--- +title: "LoraSave - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoraSave node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoraSave" +icon: "circle" +mode: wide +--- +LoraSave 노드는 모델 차이에서 LoRA(Low-Rank Adaptation) 파일을 추출하여 저장합니다. 확산 모델 차이, 텍스트 인코더 차이 또는 둘 다를 처리하여 지정된 순위와 유형의 LoRA 형식으로 변환할 수 있습니다. 생성된 LoRA 파일은 나중에 사용할 수 있도록 출력 디렉터리에 저장됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `파일명 접두사` | 출력 파일 이름의 접두사 (기본값: "loras/ComfyUI_extracted_lora") | STRING | 예 | - | +| `순위` | LoRA의 순위 값으로, 크기와 복잡성을 제어합니다 (기본값: 8) | INT | 예 | 1-4096 | +| `LoRA 유형` | 생성할 LoRA 유형 (기본값: "standard") | COMBO | 예 | `"standard"`
`"locon"`
`"loha"`
`"lokr"`
`"dylora"` | +| `차이 편향` | LoRA 계산에 편향 차이를 포함할지 여부 (기본값: True) | BOOLEAN | 예 | - | +| `모델 차이` | LoRA로 변환할 ModelSubtract 출력 | MODEL | 아니요 | - | +| `텍스트 인코더 차이` | LoRA로 변환할 CLIPSubtract 출력 | CLIP | 아니요 | - | + +**참고:** 노드가 작동하려면 `model_diff` 또는 `text_encoder_diff` 중 하나 이상을 제공해야 합니다. 둘 다 생략하면 노드는 출력을 생성하지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| - | 이 노드는 LoRA 파일을 출력 디렉터리에 저장하지만 워크플로를 통해 데이터를 반환하지는 않습니다 | - | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraSave/ko.md) + +--- +**Source fingerprint (SHA-256):** `fdf020915ee233cf68250dcdcf87e7862d13ccc4fa73d8da8245727fdac46015` diff --git a/ko/built-in-nodes/LossGraphNode.mdx b/ko/built-in-nodes/LossGraphNode.mdx new file mode 100644 index 000000000..db8413345 --- /dev/null +++ b/ko/built-in-nodes/LossGraphNode.mdx @@ -0,0 +1,26 @@ +--- +title: "LossGraphNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LossGraphNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LossGraphNode" +icon: "circle" +mode: wide +--- +LossGraphNode는 시간에 따른 훈련 손실 값을 시각적 그래프로 생성하여 미리보기 이미지로 표시합니다. 훈련 프로세스의 손실 데이터를 받아 훈련 단계별 손실 변화를 보여주는 선 그래프를 생성합니다. 결과 그래프에는 축 레이블과 최소/최대 손실 값이 포함됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `손실` | 훈련 노드의 손실 맵입니다. | LOSS_MAP | 예 | - | +| `파일명 접두사` | 저장된 손실 그래프 이미지의 접두사입니다. (기본값: "loss_graph") | STRING | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `ui.images` | 미리보기로 표시되는 생성된 손실 그래프 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LossGraphNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `9b1c844cb4babafc61102ee7bfd1039c325c6665abff1721d92a6da7d18029f9` diff --git a/ko/built-in-nodes/LotusConditioning.mdx b/ko/built-in-nodes/LotusConditioning.mdx new file mode 100644 index 000000000..acb4d685d --- /dev/null +++ b/ko/built-in-nodes/LotusConditioning.mdx @@ -0,0 +1,27 @@ +--- +title: "LotusConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LotusConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LotusConditioning" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LotusConditioning/en.md) + +LotusConditioning 노드는 Lotus 모델을 위해 사전 계산된 컨디셔닝 임베딩을 제공합니다. 이 노드는 널 컨디셔닝이 적용된 고정 인코더를 사용하며, 추론이나 대용량 텐서 파일 로딩 없이 하드코딩된 프롬프트 임베딩을 반환하여 참조 구현과의 일관성을 유지합니다. 이 노드는 생성 파이프라인에서 직접 사용할 수 있는 고정 컨디셔닝 텐서를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| *입력 없음* | 이 노드는 입력 매개변수를 허용하지 않습니다. | - | - | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `conditioning` | Lotus 모델을 위한 사전 계산된 컨디셔닝 임베딩으로, 고정 프롬프트 임베딩과 빈 딕셔너리를 포함합니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LotusConditioning/ko.md) + +--- +**Source fingerprint (SHA-256):** `aa428f8c355e2840dadbf634fe27d20c7c323dbe8c21255b40f4dafa12e4a0d0` diff --git a/ko/built-in-nodes/LtxvApiImageToVideo.mdx b/ko/built-in-nodes/LtxvApiImageToVideo.mdx new file mode 100644 index 000000000..a9ba02468 --- /dev/null +++ b/ko/built-in-nodes/LtxvApiImageToVideo.mdx @@ -0,0 +1,37 @@ +--- +title: "LtxvApiImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LtxvApiImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LtxvApiImageToVideo" +icon: "circle" +mode: wide +--- +LTXV 이미지-투-비디오 노드는 단일 시작 이미지로부터 전문가 수준의 비디오를 생성합니다. 외부 API를 사용하여 텍스트 프롬프트를 기반으로 비디오 시퀀스를 생성하며, 지속 시간, 해상도 및 프레임 속도를 사용자 지정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 비디오의 첫 번째 프레임으로 사용할 이미지입니다. | IMAGE | 예 | - | +| `모델` | 비디오 생성에 사용할 AI 모델입니다. "Fast" 모델은 속도에 최적화되어 있고, "Quality" 모델은 시각적 품질을 우선시합니다. | COMBO | 예 | `"LTX-2 (Fast)"`
`"LTX-2 (Quality)"` | +| `프롬프트` | 생성된 비디오의 콘텐츠와 움직임을 안내하는 텍스트 설명입니다. | STRING | 예 | - | +| `지속 시간` | 비디오의 길이(초)입니다(기본값: 8). | COMBO | 예 | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | +| `해상도` | 생성된 비디오의 출력 해상도입니다. | COMBO | 예 | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | +| `FPS` | 비디오의 초당 프레임 수입니다(기본값: 25). | COMBO | 예 | `25`
`50` | +| `오디오 생성` | true로 설정하면 생성된 비디오에 장면과 일치하는 AI 생성 오디오가 포함됩니다(기본값: False). | BOOLEAN | 아니요 | - | + +**중요 제약 사항:** + +* `image` 입력은 정확히 하나의 이미지를 포함해야 합니다. +* `prompt`는 1자에서 10,000자 사이여야 합니다. +* `duration`을 10초보다 길게 선택하는 경우 **"LTX-2 (Fast)"** 모델, **"1920x1080"** 해상도 및 **25** FPS를 사용해야 합니다. 더 긴 비디오를 위해서는 이 조합이 필요합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `video` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiImageToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `af891b45997173c3210d3de4f7b6bd05b14e9d3bf8a94dcb2c1ce08038b7d99d` diff --git a/ko/built-in-nodes/LtxvApiTextToVideo.mdx b/ko/built-in-nodes/LtxvApiTextToVideo.mdx new file mode 100644 index 000000000..35bdc49d0 --- /dev/null +++ b/ko/built-in-nodes/LtxvApiTextToVideo.mdx @@ -0,0 +1,39 @@ +--- +title: "LtxvApiTextToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LtxvApiTextToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LtxvApiTextToVideo" +icon: "circle" +mode: wide +--- +다음은 요청하신 번역 결과입니다. + +--- + +LTXV 텍스트-투-비디오 노드는 텍스트 설명으로부터 전문적인 품질의 비디오를 생성합니다. 외부 API에 연결하여 지속 시간, 해상도 및 프레임 속도를 사용자 지정할 수 있는 비디오를 제작합니다. 또한 AI가 생성한 오디오를 비디오에 추가하도록 선택할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 비디오 생성에 사용할 AI 모델입니다. 사용 가능한 모델은 소스 코드의 `MODELS_MAP`에서 매핑됩니다. | COMBO | 예 | `"LTX-2 (Fast)"`
`"LTX-2 (Quality)"`
`"LTX-2 (Turbo)"` | +| `프롬프트` | AI가 비디오를 생성하는 데 사용할 텍스트 설명입니다. 이 필드는 여러 줄의 텍스트를 지원합니다. | STRING | 예 | - | +| `지속 시간` | 생성된 비디오의 길이(초)입니다 (기본값: 8). | COMBO | 예 | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | +| `해상도` | 출력 비디오의 픽셀 크기(너비 x 높이)입니다. | COMBO | 예 | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | +| `FPS` | 비디오의 초당 프레임 수입니다 (기본값: 25). | COMBO | 예 | `25`
`50` | +| `오디오 생성` | 활성화하면 생성된 비디오에 장면과 일치하는 AI 생성 오디오가 포함됩니다 (기본값: False). | BOOLEAN | 아니요 | - | + +**중요 제약 사항:** + +* `prompt`는 1자에서 10,000자 사이여야 합니다. +* `duration`을 10초보다 길게 선택하는 경우, 반드시 `"LTX-2 (Fast)"` 모델, `"1920x1080"` 해상도, 그리고 `25`의 `fps`를 함께 사용해야 합니다. 이 조합은 더 긴 비디오에 필요합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiTextToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `a0c16995a07d879113bd3ca8fea64be414feee96bd8293a3e7737ede7d30e11d` diff --git a/ko/built-in-nodes/LumaConceptsNode.mdx b/ko/built-in-nodes/LumaConceptsNode.mdx new file mode 100644 index 000000000..80383abda --- /dev/null +++ b/ko/built-in-nodes/LumaConceptsNode.mdx @@ -0,0 +1,33 @@ +--- +title: "LumaConceptsNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaConceptsNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaConceptsNode" +icon: "circle" +mode: wide +--- +# Luma 개념 노드 + +Luma 텍스트-투-비디오 및 Luma 이미지-투-비디오 노드와 함께 사용할 하나 이상의 카메라 개념을 보관합니다. 이 노드를 사용하면 최대 4개의 카메라 개념을 선택하고, 선택적으로 기존 개념 체인과 결합할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `컨셉1` | 사용 가능한 Luma 개념 중 첫 번째 카메라 개념 선택 | STRING | 예 | 여러 옵션 사용 가능
"None" 옵션 포함 | +| `컨셉2` | 사용 가능한 Luma 개념 중 두 번째 카메라 개념 선택 | STRING | 예 | 여러 옵션 사용 가능
"None" 옵션 포함 | +| `컨셉3` | 사용 가능한 Luma 개념 중 세 번째 카메라 개념 선택 | STRING | 예 | 여러 옵션 사용 가능
"None" 옵션 포함 | +| `컨셉4` | 사용 가능한 Luma 개념 중 네 번째 카메라 개념 선택 | STRING | 예 | 여러 옵션 사용 가능
"None" 옵션 포함 | +| `luma 컨셉` | 여기서 선택한 개념에 추가할 선택적 카메라 개념 | LUMA_CONCEPTS | 아니요 | 해당 없음 | + +**참고:** 모든 개념 매개변수(`concept1`부터 `concept4`까지)는 네 개의 개념 슬롯을 모두 사용하지 않으려면 "None"으로 설정할 수 있습니다. 이 노드는 제공된 `luma_concepts`를 선택된 개념과 병합하여 결합된 개념 체인을 생성합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `luma 컨셉` | 선택된 모든 개념을 포함하는 결합된 카메라 개념 체인 | LUMA_CONCEPTS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaConceptsNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `d0e334104884eadab86987f188dff079e11ee4a3de05d2537d88fa9d2a30534a` diff --git a/ko/built-in-nodes/LumaImageEditNode2.mdx b/ko/built-in-nodes/LumaImageEditNode2.mdx new file mode 100644 index 000000000..8d6559049 --- /dev/null +++ b/ko/built-in-nodes/LumaImageEditNode2.mdx @@ -0,0 +1,34 @@ +--- +title: "LumaImageEditNode2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageEditNode2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaImageEditNode2" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 Luma UNI-1 모델을 기반으로 텍스트 프롬프트를 사용하여 기존 이미지를 편집합니다. 소스 이미지와 원하는 변경 사항에 대한 설명을 입력받아 편집된 새 이미지 버전을 생성합니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `source` | 편집할 소스 이미지입니다. | IMAGE | 예 | - | +| `prompt` | 원하는 편집 내용에 대한 설명입니다. 기본값: "" (빈 문자열). | STRING | 예 | 1–6000자 | +| `model` | 편집에 사용할 모델입니다. | MODEL | 예 | `"uni-1"`
`"uni-1-max"` | +| `seed` | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다. 기본값: 0. | INT | 예 | 0 ~ 2147483647 | + +**매개변수 제약 조건:** +- `prompt`는 1자에서 6000자 사이여야 합니다. +- `model` 매개변수는 동적 콤보 상자로, `"uni-1"` 또는 `"uni-1-max"`로 설정 시 추가 하위 매개변수(`style`, `web_search`, `image_ref`)를 제공합니다. `image_ref` 하위 매개변수는 최대 8개의 이미지 참조를 허용합니다. + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | Luma UNI-1 모델이 생성한 편집된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageEditNode2/ko.md) + +--- +**Source fingerprint (SHA-256):** `7026e3ce818b0a9710624bd071fc2049950290f89c7d0365ff44236e9ad5eaed` diff --git a/ko/built-in-nodes/LumaImageModifyNode.mdx b/ko/built-in-nodes/LumaImageModifyNode.mdx new file mode 100644 index 000000000..0f0f97357 --- /dev/null +++ b/ko/built-in-nodes/LumaImageModifyNode.mdx @@ -0,0 +1,33 @@ +--- +title: "LumaImageModifyNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageModifyNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaImageModifyNode" +icon: "circle" +mode: wide +--- +다음은 제공된 영어 문서를 번역 규칙에 따라 한국어로 번역한 결과입니다. + +> 본 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md) + +텍스트 프롬프트와 원본 이미지의 종횡비를 기반으로 이미지를 동기식으로 수정합니다. 이 노드는 입력 이미지를 받아 제공된 프롬프트에 따라 변환하며, 구성 가능한 이미지 가중치를 사용하여 원본 이미지가 변경되는 정도를 제어합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 수정할 입력 이미지 | IMAGE | 예 | - | +| `프롬프트` | 이미지 생성을 위한 프롬프트 (기본값: "") | STRING | 예 | - | +| `이미지 가중치` | 이미지 가중치입니다. 1.0에 가까울수록 이미지가 덜 수정됩니다 (기본값: 0.1). 내부적으로 이 값은 반전(1.0 - image_weight)되어 0.0에서 0.98 사이로 제한됩니다. | FLOAT | 아니요 | 0.0-0.98 | +| `모델` | 이미지 수정에 사용할 Luma 모델입니다. 모델에 따라 비용이 다릅니다. | STRING | 예 | `"photon-flash-1"`
`"photon-1"`
`"photon"` | +| `시드` | 노드 재실행 여부를 결정하는 시드입니다. 시드와 관계없이 실제 결과는 비결정적입니다 (기본값: 0) | INT | 아니요 | 0-18446744073709551615 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | Luma 모델에 의해 생성된 수정된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `078542bdba19945037c95fefa30d1b403ebf58e29270c8067dcb8ff21a99b7e0` diff --git a/ko/built-in-nodes/LumaImageNode.mdx b/ko/built-in-nodes/LumaImageNode.mdx new file mode 100644 index 000000000..b2d29452c --- /dev/null +++ b/ko/built-in-nodes/LumaImageNode.mdx @@ -0,0 +1,42 @@ +--- +title: "LumaImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaImageNode" +icon: "circle" +mode: wide +--- +# 개요 + +텍스트 프롬프트와 종횡비를 기반으로 이미지를 동기식으로 생성합니다. 이 노드는 텍스트 설명을 사용하여 이미지를 생성하며, 캐릭터 이미지와 스타일 이미지를 포함한 다양한 참조 입력을 통해 이미지 크기와 스타일을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 이미지 생성을 위한 프롬프트(기본값: 빈 문자열). 최소 3자 이상이어야 합니다. | STRING | 예 | - | +| `모델` | 이미지 생성을 위한 모델 선택. 모델에 따라 비용이 다릅니다. | COMBO | 예 | `photon-flash-1`
`photon-1`
`photon` | +| `종횡비` | 생성된 이미지의 종횡비(기본값: `16:9`) | COMBO | 예 | `16:9`
`1:1`
`4:3`
`3:2`
`21:9`
`9:16`
`3:4`
`2:3`
`9:21` | +| `시드` | 노드 재실행 여부를 결정하는 시드. 실제 결과는 시드와 관계없이 비결정적입니다(기본값: 0) | INT | 예 | 0 ~ 18446744073709551615 | +| `스타일 이미지 가중치` | 스타일 이미지의 가중치. `스타일 참조 이미지`가 제공되지 않으면 무시됩니다(기본값: 1.0) | FLOAT | 아니요 | 0.0 ~ 1.0 | +| `Luma 참조 이미지` | 입력 이미지로 생성에 영향을 주는 Luma 참조 노드 연결. 최대 4개의 이미지를 고려할 수 있습니다. | LUMA_REF | 아니요 | - | +| `스타일 참조 이미지` | 스타일 참조 이미지. 1개의 이미지만 사용됩니다. | IMAGE | 아니요 | - | +| `캐릭터 참조 이미지` | 캐릭터 참조 이미지. 여러 개의 배치가 가능하며, 최대 4개의 이미지를 고려할 수 있습니다. | IMAGE | 아니요 | - | + +**매개변수 제약 조건:** + +- `prompt`는 공백을 제거한 후 최소 3자 이상이어야 합니다. +- `image_luma_ref` 매개변수는 최대 4개의 참조 이미지를 허용합니다. +- `character_image` 매개변수는 최대 4개의 캐릭터 참조 이미지를 허용합니다. +- `style_image` 매개변수는 1개의 스타일 참조 이미지만 허용합니다. +- `style_image_weight` 매개변수는 `style_image`가 제공된 경우에만 사용됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력 매개변수를 기반으로 생성된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `f7878cd4df62c2f364e4e404215b18bf2f5745fb071ae2cd931d5e34b84eab46` diff --git a/ko/built-in-nodes/LumaImageNode2.mdx b/ko/built-in-nodes/LumaImageNode2.mdx new file mode 100644 index 000000000..a57d6a26f --- /dev/null +++ b/ko/built-in-nodes/LumaImageNode2.mdx @@ -0,0 +1,42 @@ +--- +title: "LumaImageNode2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageNode2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaImageNode2" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 Luma UNI-1 모델을 사용하여 텍스트 설명으로부터 이미지를 생성합니다. 텍스트 프롬프트와 종횡비, 스타일 같은 선택적 설정을 입력받아 Luma API에 요청을 보내 이미지를 생성합니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 원하는 이미지에 대한 텍스트 설명입니다. | STRING | 예 | 1–6000자 | +| `model` | 생성에 사용할 모델입니다. 모델을 선택하면 해당 모델의 추가 설정이 표시됩니다. | COMBO | 예 | `"uni-1"`
`"uni-1-max"` | +| `seed` | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다. (기본값: 0) | INT | 예 | 0 ~ 2147483647 | + +## 모델별 입력 + +`model` 매개변수에서 `"uni-1"` 또는 `"uni-1-max"`를 선택하면 다음 입력을 사용할 수 있습니다: + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `aspect_ratio` | 출력 이미지의 종횡비입니다. `"auto"`로 설정하면 모델이 프롬프트에 기반하여 종횡비를 선택합니다. (기본값: `"auto"`) | COMBO | 예 | `"auto"`
`"3:1"`
`"2:1"`
`"16:9"`
`"3:2"`
`"1:1"`
`"2:3"`
`"9:16"`
`"1:2"`
`"1:3"` | +| `style` | 생성된 이미지의 시각적 스타일입니다. (기본값: `"auto"`) | COMBO | 예 | `"auto"`
`"manga"` | +| `web_search` | 모델이 추가 맥락을 위해 웹 검색을 허용할지 여부입니다. (기본값: False) | BOOLEAN | 예 | True / False | +| `image_ref` | 생성을 안내하는 참조 이미지입니다. | IMAGE | 아니요 | 최대 9개 이미지 | + +**`style`과 `aspect_ratio` 제약사항 참고:** `style`을 `"manga"`로 설정한 경우, `aspect_ratio`는 반드시 `"auto"`이거나 다음 세로형 종횡비 중 하나여야 합니다: `"2:3"`, `"9:16"`, `"1:2"`, `"1:3"`. `"manga"` 스타일과 함께 가로형이나 정사각형 종횡비를 사용하면 오류가 발생합니다. + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 텐서 형태로 생성된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode2/ko.md) + +--- +**Source fingerprint (SHA-256):** `0a71bcd7c68c3610c162601b4c3f700034e47af8f16cf7853606753ad270c96e` diff --git a/ko/built-in-nodes/LumaImageToVideoNode.mdx b/ko/built-in-nodes/LumaImageToVideoNode.mdx new file mode 100644 index 000000000..8980fcac3 --- /dev/null +++ b/ko/built-in-nodes/LumaImageToVideoNode.mdx @@ -0,0 +1,37 @@ +--- +title: "LumaImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaImageToVideoNode" +icon: "circle" +mode: wide +--- +# Luma 이미지-투-비디오 노드 + +텍스트 프롬프트와 선택적 시작/종료 이미지를 기반으로 동기식으로 비디오를 생성합니다. 이 노드는 Luma API를 사용하여 비디오를 생성하며, 프롬프트를 통해 비디오 콘텐츠를 정의하고 선택적으로 첫 번째 및/또는 마지막 프레임을 지정하여 비디오 구조를 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 비디오 생성을 위한 프롬프트 (기본값: "") | STRING | 예 | - | +| `모델` | 사용 가능한 Luma 모델 중에서 비디오 생성 모델을 선택합니다 | COMBO | 예 | 여러 옵션 사용 가능 | +| `해상도` | 생성된 비디오의 출력 해상도 (기본값: "540p"). `ray-1-6` 모델 사용 시 이 매개변수는 무시됩니다. | COMBO | 예 | `"540p"`
`"720p"`
`"1080p"`
`"4k"` | +| `길이` | 생성된 비디오의 길이입니다. `ray-1-6` 모델 사용 시 이 매개변수는 무시됩니다. | COMBO | 예 | `"5s"`
`"9s"` | +| `루프` | 생성된 비디오의 반복 재생 여부 (기본값: False) | BOOLEAN | 예 | - | +| `시드` | 노드 재실행 여부를 결정하는 시드입니다. 시드와 관계없이 실제 결과는 비결정적입니다. (기본값: 0) | INT | 예 | 0 ~ 18446744073709551615 | +| `첫 이미지` | 생성된 비디오의 첫 번째 프레임입니다. (선택 사항) | IMAGE | 아니요 | - | +| `마지막 이미지` | 생성된 비디오의 마지막 프레임입니다. (선택 사항) | IMAGE | 아니요 | - | +| `Luma 컨셉` | Luma Concepts 노드를 통해 카메라 움직임을 지정하는 선택적 카메라 컨셉입니다. (선택 사항) | CUSTOM | 아니요 | - | + +**참고:** `first_image` 또는 `last_image` 중 하나 이상을 반드시 제공해야 합니다. 두 이미지가 모두 누락된 경우 노드에서 예외가 발생합니다. `model`이 `ray-1-6`으로 설정된 경우 `resolution` 및 `duration` 매개변수는 무시됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `210286ad38cecc5b3b0689f470ff473e996abfd251f88a45bcac936751ae2674` diff --git a/ko/built-in-nodes/LumaReferenceNode.mdx b/ko/built-in-nodes/LumaReferenceNode.mdx new file mode 100644 index 000000000..67592aabd --- /dev/null +++ b/ko/built-in-nodes/LumaReferenceNode.mdx @@ -0,0 +1,27 @@ +--- +title: "LumaReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaReferenceNode" +icon: "circle" +mode: wide +--- +이 노드는 Luma Generate Image 노드와 함께 사용하기 위해 이미지와 가중치 값을 보관합니다. 이미지 생성을 제어하기 위해 다른 Luma 노드로 전달할 수 있는 참조 체인을 생성합니다. 이 노드는 새 참조 체인을 시작하거나 기존 체인에 추가할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 참조로 사용할 이미지입니다. | IMAGE | 예 | - | +| `가중치` | 이미지 참조의 가중치입니다(기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `luma_ref` | 추가할 기존 Luma 참조 체인입니다(선택 사항). | LUMA_REF | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `luma_ref` | 이미지와 가중치를 포함하는 Luma 참조 체인입니다. | LUMA_REF | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaReferenceNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `1ad653f0ad7c56702f607ebc3c3d117196295e4e3b044a2c6f1aa3db18869a40` diff --git a/ko/built-in-nodes/LumaVideoNode.mdx b/ko/built-in-nodes/LumaVideoNode.mdx new file mode 100644 index 000000000..d422dc06e --- /dev/null +++ b/ko/built-in-nodes/LumaVideoNode.mdx @@ -0,0 +1,36 @@ +--- +title: "LumaVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaVideoNode" +icon: "circle" +mode: wide +--- +# 개요 + +텍스트 프롬프트와 출력 설정을 기반으로 동기식으로 비디오를 생성합니다. 이 노드는 텍스트 설명과 다양한 생성 매개변수를 사용하여 비디오 콘텐츠를 제작하며, 생성 과정이 완료되면 최종 비디오 출력을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 비디오 생성을 위한 프롬프트(기본값: 빈 문자열). 최소 3자 이상이어야 합니다. | STRING | 예 | - | +| `모델` | 사용할 비디오 생성 모델입니다. | COMBO | 예 | `"ray_1_6"`
`"ray_2"` | +| `종횡비` | 생성된 비디오의 화면 비율입니다(기본값: "16:9"). | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | +| `해상도` | 비디오의 출력 해상도입니다(기본값: "540p"). `ray_1_6` 모델 사용 시 이 매개변수는 무시됩니다. | COMBO | 예 | `"540p"`
`"720p"`
`"1080p"` | +| `길이` | 생성된 비디오의 길이입니다. `ray_1_6` 모델 사용 시 이 매개변수는 무시됩니다. | COMBO | 예 | `"5s"`
`"9s"` | +| `루프` | 비디오를 반복 재생할지 여부입니다(기본값: False). | BOOLEAN | 예 | - | +| `시드` | 노드 재실행 여부를 결정하는 시드입니다. 시드와 관계없이 실제 결과는 비결정적입니다(기본값: 0). | INT | 예 | 0 ~ 18446744073709551615 | +| `Luma 컨셉` | Luma Concepts 노드를 통해 카메라 움직임을 지정하는 선택적 카메라 개념입니다. | CUSTOM | 아니요 | - | + +**참고:** `ray_1_6` 모델 사용 시 `duration` 및 `resolution` 매개변수는 자동으로 무시되며 생성에 영향을 미치지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `44482bc91c3df2cc9ac22d06197668af45849e8bfde8bd435905f11f2593342c` diff --git a/ko/built-in-nodes/MagnificImageRelightNode.mdx b/ko/built-in-nodes/MagnificImageRelightNode.mdx new file mode 100644 index 000000000..e6c72cafa --- /dev/null +++ b/ko/built-in-nodes/MagnificImageRelightNode.mdx @@ -0,0 +1,47 @@ +--- +title: "MagnificImageRelightNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MagnificImageRelightNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MagnificImageRelightNode" +icon: "circle" +mode: wide +--- +# Magnific Image Relight 노드 + +Magnific Image Relight 노드는 입력 이미지의 조명을 조정합니다. 텍스트 프롬프트를 기반으로 스타일리시한 조명을 적용하거나, 선택적 참조 이미지의 조명 특성을 전송할 수 있습니다. 이 노드는 최종 출력의 밝기, 대비 및 전반적인 분위기를 미세 조정하기 위한 다양한 제어 기능을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 조명을 조정할 이미지입니다. 정확히 하나의 이미지가 필요합니다. 최소 크기는 160x160 픽셀입니다. 종횡비는 1:3에서 3:1 사이여야 합니다. | IMAGE | 예 | 해당 없음 | +| `prompt` | 조명에 대한 설명적 지침입니다. 강조 표기법(1-1.4)을 지원합니다. 기본값은 빈 문자열입니다. | STRING | 아니요 | 해당 없음 | +| `light_transfer_strength` | 조명 전송 적용 강도입니다. 기본값: 100. | INT | 예 | 0 ~ 100 | +| `style` | 스타일리시한 출력 선호도입니다. | COMBO | 예 | `"standard"`
`"darker_but_realistic"`
`"clean"`
`"smooth"`
`"brighter"`
`"contrasted_n_hdr"`
`"just_composition"` | +| `interpolate_from_original` | 원본과 더 가깝게 일치하도록 생성 자유도를 제한합니다. 기본값: False. | BOOLEAN | 예 | 해당 없음 | +| `change_background` | 프롬프트/참조 이미지에 따라 배경을 수정합니다. 기본값: True. | BOOLEAN | 예 | 해당 없음 | +| `preserve_details` | 원본의 질감과 미세한 디테일을 유지합니다. 기본값: True. | BOOLEAN | 예 | 해당 없음 | +| `advanced_settings` | 고급 조명 제어를 위한 미세 조정 옵션입니다. `"enabled"`로 설정하면 추가 매개변수를 사용할 수 있습니다. | DYNAMICCOMBO | 예 | `"disabled"`
`"enabled"` | +| `reference_image` | 조명을 전송할 선택적 참조 이미지입니다. 제공하는 경우 정확히 하나의 이미지가 필요합니다. 최소 크기는 160x160 픽셀입니다. 종횡비는 1:3에서 3:1 사이여야 합니다. | IMAGE | 아니요 | 해당 없음 | + +**고급 설정 참고:** `advanced_settings`를 `"enabled"`로 설정하면 다음 중첩 매개변수가 활성화됩니다: + +* `whites`: 이미지에서 가장 밝은 톤을 조정합니다. 범위: 0 ~ 100. 기본값: 50. +* `blacks`: 이미지에서 가장 어두운 톤을 조정합니다. 범위: 0 ~ 100. 기본값: 50. +* `brightness`: 전반적인 밝기 조정입니다. 범위: 0 ~ 100. 기본값: 50. +* `contrast`: 대비 조정입니다. 범위: 0 ~ 100. 기본값: 50. +* `saturation`: 색상 채도 조정입니다. 범위: 0 ~ 100. 기본값: 50. +* `engine`: 처리 엔진 선택입니다. 옵션: `"automatic"`, `"balanced"`, `"cool"`, `"real"`, `"illusio"`, `"fairy"`, `"colorful_anime"`, `"hard_transform"`, `"softy"`. +* `transfer_light_a`: 조명 전송 강도입니다. 옵션: `"automatic"`, `"low"`, `"medium"`, `"normal"`, `"high"`, `"high_on_faces"`. +* `transfer_light_b`: 조명 전송 강도를 추가로 수정합니다. 이전 제어와 결합하여 다양한 효과를 낼 수 있습니다. 옵션: `"automatic"`, `"composition"`, `"straight"`, `"smooth_in"`, `"smooth_out"`, `"smooth_both"`, `"reverse_both"`, `"soft_in"`, `"soft_out"`, `"soft_mid"`, `"style_shift"`, `"strong_shift"`. +* `fixed_generation`: 동일한 설정으로 일관된 출력을 보장합니다. 기본값: True. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 조명이 조정된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageRelightNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `c260b7c88a267a20fdea7f436404fe96ede782bc522ab29da36e94c20f7330cd` diff --git a/ko/built-in-nodes/MagnificImageSkinEnhancerNode.mdx b/ko/built-in-nodes/MagnificImageSkinEnhancerNode.mdx new file mode 100644 index 000000000..d146a36c6 --- /dev/null +++ b/ko/built-in-nodes/MagnificImageSkinEnhancerNode.mdx @@ -0,0 +1,40 @@ +--- +title: "MagnificImageSkinEnhancerNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MagnificImageSkinEnhancerNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MagnificImageSkinEnhancerNode" +icon: "circle" +mode: wide +--- +# Magnific Image Skin Enhancer 노드 + +Magnific Image Skin Enhancer 노드는 인물 이미지에 특화된 AI 처리를 적용하여 피부 외관을 개선합니다. 세 가지 고유한 모드를 제공하여 각기 다른 향상 목표를 달성할 수 있습니다: 창의적인 예술 효과를 위한 creative 모드, 원본을 보존하는 faithful 모드, 조명이나 사실감 같은 특정 개선을 위한 flexible 모드입니다. 이 노드는 이미지를 외부 API에 업로드하여 처리한 후 향상된 결과를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 향상시킬 인물 이미지입니다. | IMAGE | 예 | - | +| `sharpen` | 선명도 강도 수준입니다(기본값: 0). | INT | 아니요 | 0 ~ 100 | +| `smart_grain` | 스마트 그레인 강도 수준입니다(기본값: 2). | INT | 아니요 | 0 ~ 100 | +| `mode` | 사용할 처리 모드입니다. `"creative"`는 예술적 향상, `"faithful"`은 원본 외관 보존, `"flexible"`은 특정 최적화를 위한 모드입니다. | COMBO | 예 | `"creative"`
`"faithful"`
`"flexible"` | +| `skin_detail` | 피부 디테일 향상 수준입니다. 이 입력은 `mode`가 `"faithful"`로 설정된 경우에만 사용 가능하며 필수입니다(기본값: 80). | INT | 아니요 | 0 ~ 100 | +| `optimized_for` | 향상 최적화 대상을 지정합니다. 이 입력은 `mode`가 `"flexible"`로 설정된 경우에만 사용 가능하며 필수입니다. | COMBO | 아니요 | `"enhance_skin"`
`"improve_lighting"`
`"enhance_everything"`
`"transform_to_real"`
`"no_make_up"` | + +**제약 사항:** + +* 노드는 정확히 하나의 입력 이미지를 받습니다. +* 입력 이미지의 최소 높이와 너비는 160픽셀 이상이어야 합니다. +* 입력 이미지의 종횡비는 1:3에서 3:1 사이여야 합니다(엄격하지 않은 검증). +* `skin_detail` 매개변수는 `mode`가 `"faithful"`로 설정된 경우에만 활성화됩니다. +* `optimized_for` 매개변수는 `mode`가 `"flexible"`로 설정된 경우에만 활성화됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 향상된 인물 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `e02cae2e119ddab931b790865889adf53f47a2ebb03d488477c289dfda7204f5` diff --git a/ko/built-in-nodes/MagnificImageStyleTransferNode.mdx b/ko/built-in-nodes/MagnificImageStyleTransferNode.mdx new file mode 100644 index 000000000..e485d26d0 --- /dev/null +++ b/ko/built-in-nodes/MagnificImageStyleTransferNode.mdx @@ -0,0 +1,44 @@ +--- +title: "MagnificImageStyleTransferNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MagnificImageStyleTransferNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MagnificImageStyleTransferNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md) + +이 노드는 참조 이미지의 시각적 스타일을 입력 이미지에 적용합니다. 외부 AI 서비스를 사용하여 이미지를 처리하며, 스타일 전이의 강도와 원본 이미지 구조 보존 정도를 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 스타일 전이를 적용할 이미지입니다. | IMAGE | 예 | - | +| `reference_image` | 스타일을 추출할 참조 이미지입니다. | IMAGE | 예 | - | +| `prompt` | 스타일 전이를 안내하는 선택적 텍스트 프롬프트입니다. | STRING | 아니요 | - | +| `style_strength` | 스타일 강도 비율입니다(기본값: 100). | INT | 아니요 | 0 ~ 100 | +| `structure_strength` | 원본 이미지의 구조를 유지하는 정도입니다(기본값: 50). | INT | 아니요 | 0 ~ 100 | +| `flavor` | 스타일 전이의 유형입니다. | COMBO | 아니요 | "faithful"
"gen_z"
"psychedelia"
"detaily"
"clear"
"donotstyle"
"donotstyle_sharp" | +| `engine` | 처리 엔진 선택입니다. | COMBO | 아니요 | "balanced"
"definio"
"illusio"
"3d_cartoon"
"colorful_anime"
"caricature"
"real"
"super_real"
"softy" | +| `portrait_mode` | 얼굴 향상을 위한 초상화 모드를 활성화합니다. | COMBO | 아니요 | "disabled"
"enabled" | +| `portrait_style` | 초상화 이미지에 적용되는 시각적 스타일입니다. 이 입력은 `portrait_mode`가 "enabled"로 설정된 경우에만 사용할 수 있습니다. | COMBO | 아니요 | "standard"
"pop"
"super_pop" | +| `portrait_beautifier` | 초상화에 적용되는 얼굴 미화 강도입니다. 이 입력은 `portrait_mode`가 "enabled"로 설정된 경우에만 사용할 수 있습니다. | COMBO | 아니요 | "none"
"beautify_face"
"beautify_face_max" | +| `fixed_generation` | 비활성화하면 각 생성에 일정 수준의 무작위성이 도입되어 더 다양한 결과를 얻을 수 있습니다(기본값: True). | BOOLEAN | 아니요 | - | + +**제약 사항:** + +* 정확히 하나의 `image`와 하나의 `reference_image`가 필요합니다. +* 두 이미지 모두 가로 세로 비율이 1:3에서 3:1 사이여야 합니다. +* 두 이미지 모두 최소 높이와 너비가 160픽셀이어야 합니다. +* `portrait_style` 및 `portrait_beautifier` 매개변수는 `portrait_mode`가 "enabled"로 설정된 경우에만 활성화되며 필수입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 스타일 전이가 적용된 결과 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `4ae400183618953c369d089d39b878f0a24592967c29d779c577fb8b7339dea8` diff --git a/ko/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx b/ko/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx new file mode 100644 index 000000000..cd08b44c7 --- /dev/null +++ b/ko/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx @@ -0,0 +1,43 @@ +--- +title: "MagnificImageUpscalerCreativeNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MagnificImageUpscalerCreativeNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MagnificImageUpscalerCreativeNode" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md) + +이 노드는 Magnific AI 서비스를 사용하여 이미지를 업스케일하고 창의적으로 향상시킵니다. 텍스트 프롬프트로 향상 과정을 안내하고, 최적화할 특정 스타일을 선택하며, 디테일, 원본 유사성, 양식화 강도 등 창의적 프로세스의 다양한 측면을 제어할 수 있습니다. 이 노드는 선택한 배율(2배, 4배, 8배 또는 16배)로 업스케일된 이미지를 출력하며, 최대 출력 크기는 25.3 메가픽셀입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 업스케일 및 향상할 입력 이미지입니다. | IMAGE | 예 | - | +| `prompt` | 이미지의 창의적 향상을 안내하는 텍스트 설명입니다. 선택 사항입니다(기본값: 비어 있음). | STRING | 아니요 | - | +| `scale_factor` | 이미지 크기를 업스케일할 배율입니다. | COMBO | 예 | `"2x"`
`"4x"`
`"8x"`
`"16x"` | +| `optimized_for` | 향상 프로세스를 최적화할 스타일 또는 콘텐츠 유형입니다. | COMBO | 예 | `"standard"`
`"soft_portraits"`
`"hard_portraits"`
`"art_n_illustration"`
`"videogame_assets"`
`"nature_n_landscapes"`
`"films_n_photography"`
`"3d_renders"`
`"science_fiction_n_horror"` | +| `creativity` | 이미지에 적용되는 창의적 해석의 수준을 제어합니다(기본값: 0). | INT | 아니요 | -10 ~ 10 | +| `hdr` | 선명도와 디테일의 수준입니다(기본값: 0). | INT | 아니요 | -10 ~ 10 | +| `resemblance` | 원본 이미지와의 유사성 수준입니다(기본값: 0). | INT | 아니요 | -10 ~ 10 | +| `fractality` | 프롬프트의 강도와 제곱픽셀당 정교함입니다(기본값: 0). | INT | 아니요 | -10 ~ 10 | +| `engine` | 처리에 사용할 특정 AI 엔진입니다. 고급 매개변수입니다. | COMBO | 예 | `"automatic"`
`"magnific_illusio"`
`"magnific_sharpy"`
`"magnific_sparkle"` | +| `auto_downscale` | 활성화하면 요청된 업스케일이 허용된 최대 출력 크기인 25.3 메가픽셀을 초과할 경우 노드가 자동으로 입력 이미지를 다운스케일합니다. 고급 매개변수입니다(기본값: False). | BOOLEAN | 아니요 | - | + +**제약 조건:** + +* 입력 `image`는 정확히 하나의 이미지여야 합니다. +* 입력 이미지의 최소 높이와 너비는 160픽셀이어야 합니다. +* 입력 이미지의 가로 세로 비율은 1:3에서 3:1 사이여야 합니다. +* 최종 출력 크기(입력 크기에 `scale_factor`를 곱한 값)는 25,300,000픽셀을 초과할 수 없습니다. `auto_downscale`이 비활성화된 상태에서 이 제한을 초과하면 노드에서 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 창의적으로 향상되고 업스케일된 출력 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `f5f046347c2992a2589153e803de14fc23b27187864b45eb566556418ebc161c` diff --git a/ko/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx b/ko/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx new file mode 100644 index 000000000..e16b8f4f1 --- /dev/null +++ b/ko/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx @@ -0,0 +1,35 @@ +--- +title: "MagnificImageUpscalerPreciseV2Node - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MagnificImageUpscalerPreciseV2Node node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MagnificImageUpscalerPreciseV2Node" +icon: "circle" +mode: wide +--- +# Magnific 이미지 업스케일(정밀 V2) 노드 + +Magnific 이미지 업스케일(정밀 V2) 노드는 선명도, 입자 및 디테일 향상을 정밀하게 제어하여 고충실도 이미지 업스케일링을 수행합니다. 외부 API를 통해 이미지를 처리하며, 최대 10060×10060 픽셀의 출력 해상도를 지원합니다. 이 노드는 다양한 처리 스타일을 제공하며, 요청된 출력이 최대 허용 크기를 초과할 경우 입력을 자동으로 다운스케일할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 업스케일할 입력 이미지입니다. 정확히 하나의 이미지가 필요합니다. 최소 크기는 160x160 픽셀입니다. 종횡비는 1:3에서 3:1 사이여야 합니다. | IMAGE | 예 | - | +| `scale_factor` | 원하는 업스케일 배율입니다. | STRING | 예 | `"2x"`
`"4x"`
`"8x"`
`"16x"` | +| `flavor` | 처리 스타일입니다. "sublime"은 일반 용도, "photo"는 사진에 최적화, "photo_denoiser"는 노이즈가 있는 사진용입니다. | STRING | 예 | `"sublime"`
`"photo"`
`"photo_denoiser"` | +| `sharpen` | 가장자리 선명도와 명확성을 높이기 위한 이미지 선명화 강도를 제어합니다. 값이 높을수록 더 선명한 결과를 얻을 수 있습니다. 기본값: 7. | INT | 아니요 | 0 ~ 100 | +| `smart_grain` | 업스케일된 이미지가 너무 매끄럽거나 인공적으로 보이는 것을 방지하기 위해 지능적인 입자 또는 텍스처 향상을 추가합니다. 기본값: 7. | INT | 아니요 | 0 ~ 100 | +| `ultra_detail` | 업스케일링 과정에서 추가되는 미세 디테일, 텍스처 및 미세 세부 사항의 양을 제어합니다. 기본값: 30. | INT | 아니요 | 0 ~ 100 | +| `auto_downscale` | 활성화하면 계산된 출력 크기가 최대 허용 해상도인 10060x10060 픽셀을 초과할 경우 입력 이미지를 자동으로 다운스케일합니다. 오류를 방지하는 데 도움이 되지만 품질에 영향을 줄 수 있습니다. 기본값: False. | BOOLEAN | 아니요 | - | + +**참고:** `auto_downscale`이 비활성화되어 있고 요청된 출력 크기(입력 크기 × `scale_factor`)가 10060x10060 픽셀을 초과하면 노드에서 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 업스케일링된 결과 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/ko.md) + +--- +**Source fingerprint (SHA-256):** `cceff30e9702c6a24ab8102698c59f1afb20ec50e7f279b3c0d50befc9673b24` diff --git a/ko/built-in-nodes/Mahiro.mdx b/ko/built-in-nodes/Mahiro.mdx new file mode 100644 index 000000000..3c9447b27 --- /dev/null +++ b/ko/built-in-nodes/Mahiro.mdx @@ -0,0 +1,27 @@ +--- +title: "Mahiro - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Mahiro node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Mahiro" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Mahiro/en.md) + +Mahiro 노드는 긍정 프롬프트와 부정 프롬프트 간의 차이보다 긍정 프롬프트의 방향에 더 집중하도록 안내 함수를 수정합니다. 정규화된 조건부 및 무조건부 노이즈 제거 출력 간의 코사인 유사도를 사용하여 사용자 지정 안내 스케일링 방식을 적용하는 패치된 모델을 생성합니다. 이 실험적인 노드는 생성 과정을 긍정 프롬프트가 의도한 방향으로 더 강력하게 유도하는 데 도움을 줍니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 수정된 안내 함수로 패치할 모델 | MODEL | 예 | | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `patched_model` | Mahiro 안내 함수가 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Mahiro/ko.md) + +--- +**Source fingerprint (SHA-256):** `8b4a73cfa488f97d87e5a18d5ab30765055b5d5a66c6c2f1a5f016eed2af0300` diff --git a/ko/built-in-nodes/MakeTrainingDataset.mdx b/ko/built-in-nodes/MakeTrainingDataset.mdx new file mode 100644 index 000000000..92e242ca9 --- /dev/null +++ b/ko/built-in-nodes/MakeTrainingDataset.mdx @@ -0,0 +1,35 @@ +--- +title: "MakeTrainingDataset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MakeTrainingDataset node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MakeTrainingDataset" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MakeTrainingDataset/en.md) + +이 노드는 이미지와 텍스트를 인코딩하여 학습 데이터를 준비합니다. 이미지 목록과 이에 대응하는 텍스트 캡션 목록을 입력받은 후, VAE 모델을 사용하여 이미지를 잠재 표현(latent representation)으로 변환하고 CLIP 모델을 사용하여 텍스트를 컨디셔닝 데이터로 변환합니다. 그 결과로 생성된 쌍을 이루는 잠재 표현과 컨디셔닝이 목록 형태로 출력되어 학습 워크플로우에서 바로 사용할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 인코딩할 이미지 목록입니다. | IMAGE | 예 | 해당 없음 | +| `vae` | 이미지를 잠재 표현으로 인코딩하는 VAE 모델입니다. | VAE | 예 | 해당 없음 | +| `clip` | 텍스트를 컨디셔닝으로 인코딩하는 CLIP 모델입니다. | CLIP | 예 | 해당 없음 | +| `텍스트` | 텍스트 캡션 목록입니다. 길이가 n(이미지 개수와 일치), 1(모든 이미지에 반복), 또는 생략(빈 문자열 사용)일 수 있습니다. | STRING | 아니요 | 해당 없음 | + +**매개변수 제약 조건:** + +* `texts` 목록의 항목 수는 0, 1이거나 `images` 목록의 항목 수와 정확히 일치해야 합니다. 0인 경우 모든 이미지에 빈 문자열이 사용됩니다. 1인 경우 해당 단일 텍스트가 모든 이미지에 반복됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `conditioning` | 잠재 표현 딕셔너리 목록입니다. | LATENT | +| `conditioning` | 컨디셔닝 목록의 목록입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MakeTrainingDataset/ko.md) + +--- +**Source fingerprint (SHA-256):** `95947c03f140f527f3db54d0b0131d956646055542ddb546ae5eaa82e4e8cefa` diff --git a/ko/built-in-nodes/ManualSigmas.mdx b/ko/built-in-nodes/ManualSigmas.mdx new file mode 100644 index 000000000..629aa869e --- /dev/null +++ b/ko/built-in-nodes/ManualSigmas.mdx @@ -0,0 +1,27 @@ +--- +title: "ManualSigmas - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ManualSigmas node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ManualSigmas" +icon: "circle" +mode: wide +--- +**ManualSigmas 노드** + +ManualSigmas 노드를 사용하면 샘플링 과정에 사용할 노이즈 수준(시그마)의 사용자 지정 시퀀스를 수동으로 정의할 수 있습니다. 문자열 형태의 숫자 목록을 입력하면 노드가 이를 텐서로 변환하여 다른 샘플링 노드에서 사용할 수 있도록 합니다. 이는 특정 노이즈 스케줄을 테스트하거나 생성할 때 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `시그마` | 시그마 값을 포함하는 문자열입니다. 노드는 이 문자열에서 모든 숫자를 추출합니다. 예를 들어, "1, 0.5, 0.1" 또는 "1 0.5 0.1"과 같이 입력할 수 있습니다. 기본값은 "1, 0.5"입니다. | STRING | 예 | 쉼표 또는 공백으로 구분된 모든 숫자 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `시그마` | 입력 문자열에서 추출된 시그마 값 시퀀스를 포함하는 텐서입니다. | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ManualSigmas/ko.md) + +--- +**Source fingerprint (SHA-256):** `b815633dfea8f529f487f46b2d0464fa8c1045df8c4d4ef586bd36ad6f4a28db` diff --git a/ko/built-in-nodes/MarkdownNote.mdx b/ko/built-in-nodes/MarkdownNote.mdx new file mode 100644 index 000000000..86fa304e2 --- /dev/null +++ b/ko/built-in-nodes/MarkdownNote.mdx @@ -0,0 +1,18 @@ +--- +title: "MarkdownNote - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MarkdownNote node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MarkdownNote" +icon: "circle" +mode: wide +--- +# ## 개요 + +워크플로우에 주석을 추가하는 노드입니다. Markdown 구문을 사용한 텍스트 서식을 지원합니다. + +# ## 입력 + +# ## 출력 + +이 노드는 출력이 없습니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MarkdownNote/ko.md) diff --git a/ko/built-in-nodes/MaskComposite.mdx b/ko/built-in-nodes/MaskComposite.mdx new file mode 100644 index 000000000..232384082 --- /dev/null +++ b/ko/built-in-nodes/MaskComposite.mdx @@ -0,0 +1,26 @@ +--- +title: "MaskComposite - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MaskComposite node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MaskComposite" +icon: "circle" +mode: wide +--- +이 노드는 덧셈, 뺄셈, 논리 연산 등 다양한 연산을 통해 두 개의 마스크 입력을 결합하여 새롭고 수정된 마스크를 생성하는 데 특화되어 있습니다. 복잡한 마스킹 효과를 얻기 위해 마스크 데이터 조작을 추상적으로 처리하며, 마스크 기반 이미지 편집 및 처리 워크플로우에서 중요한 구성 요소로 기능합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `대상` | 소스 마스크와의 연산을 기반으로 수정될 기본 마스크입니다. 합성 연산에서 중심적인 역할을 하며, 수정의 기준이 됩니다. | MASK | +| `원본` | 대상 마스크와 함께 지정된 연산을 수행하는 데 사용되는 보조 마스크로, 최종 출력 마스크에 영향을 줍니다. | MASK | +| `x` | 소스 마스크가 대상 마스크에 적용될 가로 오프셋으로, 합성 결과의 위치에 영향을 줍니다. | INT | +| `y` | 소스 마스크가 대상 마스크에 적용될 세로 오프셋으로, 합성 결과의 위치에 영향을 줍니다. | INT | +| `연산` | 대상 마스크와 소스 마스크 간에 적용할 연산 유형을 지정합니다. 'add', 'subtract' 또는 논리 연산 등이 있으며, 합성 효과의 특성을 결정합니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `mask` | 대상 마스크와 소스 마스크 간에 지정된 연산을 적용한 후의 결과 마스크로, 합성 결과를 나타냅니다. | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskComposite/ko.md) diff --git a/ko/built-in-nodes/MaskPreview.mdx b/ko/built-in-nodes/MaskPreview.mdx new file mode 100644 index 000000000..d794ca7d1 --- /dev/null +++ b/ko/built-in-nodes/MaskPreview.mdx @@ -0,0 +1,28 @@ +--- +title: "MaskPreview - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MaskPreview node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MaskPreview" +icon: "circle" +mode: wide +--- +MaskPreview 노드는 마스크 데이터를 미리보기 이미지로 저장하여 ComfyUI 출력 디렉터리에 보관함으로써, 워크플로우 실행 중에 마스크 데이터를 시각적으로 확인할 수 있도록 합니다. 입력된 마스크를 이미지 표시에 적합한 형식으로 변환하고, 설정 가능한 파일 이름 접두사를 사용하여 저장합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `마스크` | 미리보기 및 이미지로 저장할 마스크 데이터 | MASK | 예 | - | +| `filename_prefix` | 출력 파일 이름의 접두사 (기본값: "ComfyUI") | STRING | 아니요 | - | +| `prompt` | 메타데이터용 프롬프트 정보 (자동으로 제공됨) | PROMPT | 아니요 | - | +| `extra_pnginfo` | 메타데이터용 추가 PNG 정보 (자동으로 제공됨) | EXTRA_PNGINFO | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `ui` | UI에 표시할 미리보기 이미지 정보 및 메타데이터를 포함합니다. | DICT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskPreview/ko.md) + +--- +**Source fingerprint (SHA-256):** `9f64adf4a0130368618fc1ca3655192686815ab10b4153f9552ef23149928e3f` diff --git a/ko/built-in-nodes/MaskToImage.mdx b/ko/built-in-nodes/MaskToImage.mdx new file mode 100644 index 000000000..573d785f5 --- /dev/null +++ b/ko/built-in-nodes/MaskToImage.mdx @@ -0,0 +1,22 @@ +--- +title: "MaskToImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MaskToImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MaskToImage" +icon: "circle" +mode: wide +--- +`MaskToImage` 노드는 마스크를 이미지 형식으로 변환하도록 설계되었습니다. 이 변환을 통해 마스크를 이미지로 시각화하고 추가로 처리할 수 있으며, 마스크 기반 작업과 이미지 기반 애플리케이션 간의 연결을 용이하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `마스크` | 마스크 입력은 변환 프로세스에 필수적이며, 이미지 형식으로 변환될 원본 데이터 역할을 합니다. 이 입력은 결과 이미지의 모양과 내용을 결정합니다. | `MASK` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 출력은 입력 마스크의 이미지 표현으로, 시각적 검사 및 추가 이미지 기반 조작을 가능하게 합니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskToImage/ko.md) diff --git a/ko/built-in-nodes/MediaPipeFaceLandmarker.mdx b/ko/built-in-nodes/MediaPipeFaceLandmarker.mdx new file mode 100644 index 000000000..ce2fb802e --- /dev/null +++ b/ko/built-in-nodes/MediaPipeFaceLandmarker.mdx @@ -0,0 +1,33 @@ +--- +title: "MediaPipeFaceLandmarker - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MediaPipeFaceLandmarker node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MediaPipeFaceLandmarker" +icon: "circle" +mode: wide +--- +## 개요 + +이미지에서 얼굴을 감지하고 MediaPipe의 BlazeFace 및 FaceMesh 모델을 사용하여 각 얼굴의 468개 얼굴 랜드마크(주요 지점)를 식별합니다. 또한 표정 분석을 위한 ARKit-52 블렌드셰이프 계수를 계산합니다. 이 노드는 배치로 여러 이미지를 처리할 수 있으며, 감지된 각 얼굴에 대한 랜드마크 데이터와 경계 상자를 모두 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `face_detection_model` | 랜드마크 감지에 사용할 MediaPipe 얼굴 감지 모델입니다. | FACE_DETECTION_MODEL | 예 | | +| `image` | 얼굴을 감지할 입력 이미지 또는 이미지 배치입니다. | IMAGE | 예 | | +| `detector_variant` | 얼굴 감지기 범위입니다. `"short"`는 근접 얼굴(카메라로부터 약 2m 이내)에 최적화되어 있습니다. `"full"`은 더 멀리 있거나 작은 얼굴(최대 약 5m)까지 감지하지만 속도가 느립니다. `"both"`는 두 감지기를 모두 실행하여 프레임당 더 많은 얼굴을 찾은 쪽을 유지합니다(감지 비용 약 2배). 기본값: `"short"`. | COMBO | 예 | `"short"`
`"full"`
`"both"` | +| `num_faces` | 프레임당 반환할 최대 얼굴 수입니다. 0은 제한 없음(감지된 모든 얼굴 반환)을 의미합니다. 기본값: 1. | INT | 예 | 0 ~ 16 | +| `min_confidence` | BlazeFace 점수 임계값입니다. 낮은 값을 설정하면 작거나 가려진 얼굴을 감지하는 데 도움이 됩니다. 기본값: 0.5. | FLOAT | 아니요 | 0.00 ~ 1.00 | +| `missing_frame_fallback` | 배치 내에서 감지가 실패한 경우 프레임별 동작입니다. `"empty"`는 해당 프레임을 얼굴 없이 둡니다. `"previous"`는 가장 최근에 성공한 감지 결과를 복사합니다. `"interpolate"`는 성공한 프레임 사이의 랜드마크/경계상자/블렌드셰이프를 선형 보간합니다. 다중 얼굴의 경우 탐욕적 경계상자 중심 최근접 이웃 방식으로 프레임 간 얼굴을 짝짓습니다. 기본값: `"empty"`. | COMBO | 아니요 | `"empty"`
`"previous"`
`"interpolate"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `bboxes` | 프레임별 얼굴 감지 결과를 포함하는 구조화된 출력으로, 468개 얼굴 랜드마크, ARKit-52 블렌드셰이프 계수, 변환 행렬 및 메시 시각화를 위한 연결 집합을 포함합니다. | FACE_LANDMARKS | +| `bboxes` | 감지된 각 얼굴의 경계 상자 목록으로, 좌표(x, y, 너비, 높이), 레이블 "face" 및 신뢰도 점수를 포함합니다. 입력 프레임당 하나의 목록입니다. | BOUNDING_BOX | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ko.md) + +--- +**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba` diff --git a/ko/built-in-nodes/MediaPipeFaceMask.mdx b/ko/built-in-nodes/MediaPipeFaceMask.mdx new file mode 100644 index 000000000..e2c012e77 --- /dev/null +++ b/ko/built-in-nodes/MediaPipeFaceMask.mdx @@ -0,0 +1,39 @@ +--- +title: "MediaPipeFaceMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MediaPipeFaceMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MediaPipeFaceMask" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 MediaPipe가 감지한 얼굴 랜드마크를 기반으로 이진 마스크(흑백 이미지)를 생성합니다. 감지된 각 얼굴 영역에 대해 채워진 다각형 모양을 그리며, 배치 내 각 프레임당 하나의 마스크를 생성합니다. 동일한 프레임에서 여러 얼굴이 감지되면 해당 마스크들이 하나의 마스크로 결합됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `face_landmarks` | MediaPipe 얼굴 감지 노드의 얼굴 랜드마크 데이터입니다. | FACE_LANDMARKS | 예 | - | +| `regions` | 마스크에 포함할 얼굴 영역을 선택합니다. `"all"`은 모든 얼굴 영역(얼굴 타원형, 입술, 눈, 홍채)의 합집합으로 마스크를 생성합니다. `"custom"`은 각 영역을 개별적으로 설정할 수 있습니다. 기본값: `"all"` | COMBO | 예 | `"all"`
`"custom"` | + +`regions`를 `"custom"`으로 설정하면 다음 추가 부울 매개변수를 사용할 수 있습니다: + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `face_oval` | 마스크에 얼굴 타원형 영역을 포함합니다. 기본값: True | BOOLEAN | 아니요 | True/False | +| `lips` | 마스크에 입술 영역을 포함합니다. 기본값: True | BOOLEAN | 아니요 | True/False | +| `eyes` | 마스크에 눈 영역을 포함합니다. 기본값: True | BOOLEAN | 아니요 | True/False | +| `irises` | 마스크에 홍채 영역을 포함합니다. 기본값: True | BOOLEAN | 아니요 | True/False | + +**참고:** `"all"` 모드를 사용하면 마스크에 모든 영역이 결합되어 포함됩니다. 얼굴 타원형이 다른 영역을 감싸고 있으므로 `"all"`을 선택하면 사실상 얼굴 타원형만 선택한 것과 동일한 결과가 생성됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MASK` | 얼굴 영역은 흰색(값 1.0)이고 배경은 검은색(값 0.0)인 이진 마스크 텐서입니다. 마스크는 입력 이미지와 동일한 크기를 가지며 배치 내 각 프레임당 하나의 마스크를 포함합니다. | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/ko.md) + +--- +**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66` diff --git a/ko/built-in-nodes/MediaPipeFaceMeshVisualize.mdx b/ko/built-in-nodes/MediaPipeFaceMeshVisualize.mdx new file mode 100644 index 000000000..a1b81d56e --- /dev/null +++ b/ko/built-in-nodes/MediaPipeFaceMeshVisualize.mdx @@ -0,0 +1,36 @@ +--- +title: "MediaPipeFaceMeshVisualize - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MediaPipeFaceMeshVisualize node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MediaPipeFaceMeshVisualize" +icon: "circle" +mode: wide +--- +# MediaPipe 얼굴 메시 시각화 + +## 개요 + +입력 이미지 위에 얼굴 랜드마크 포인트와 연결선(얼굴 메시)을 그립니다. 이 노드는 얼굴 감지 노드에서 생성된 랜드마크 데이터를 사용하여 눈, 코, 입, 얼굴 윤곽선 등 감지된 얼굴 특징을 시각화합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `face_landmarks` | 감지 노드의 얼굴 랜드마크 데이터입니다. | FACE_LANDMARKS | 예 | | +| `image` | 메시를 그릴 이미지입니다. 연결되지 않은 경우 감지 결과와 동일한 크기의 검은색 캔버스가 사용됩니다. | IMAGE | 아니요 | | +| `connections` | 얼굴 메시의 그릴 부분을 결정합니다. `"all"`은 전체 메시(타원형, 눈, 눈썹, 입술, 홍채, 코)를 그립니다. `"fill"`은 얼굴 타원형의 솔리드 다각형(실루엣 마스크)을 그립니다. `"custom"`은 각 특징을 개별적으로 켜고 끌 수 있습니다. (기본값: `"all"`) | COMBO | 예 | `"all"`
`"fill"`
`"custom"` | +| `color` | 메시 선과 포인트의 색상입니다. (기본값: `#00ff00`) | COLOR | 예 | | +| `thickness` | 메시 선의 두께(픽셀 단위)입니다. 0으로 설정하면 선 그리기가 비활성화됩니다. (기본값: 1) | INT | 예 | 0 ~ 8 | +| `point_size` | 랜드마크 점의 반지름(픽셀 단위)입니다. 0으로 설정하면 점 그리기가 비활성화됩니다. (기본값: 2) | INT | 예 | 0 ~ 16 | + +**`connections` 매개변수 참고:** `"custom"`을 선택하면 각 얼굴 특징에 대한 추가 부울 입력이 나타납니다(예: `face_oval`, `lips`, `left_eye`, `right_eye`, `left_eyebrow`, `right_eyebrow`, `left_iris`, `right_iris`, `nose`, `tesselation`). 활성화한 특징만 그려집니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 얼굴 랜드마크 메시가 그려진 입력 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ko.md) + +--- +**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243` diff --git a/ko/built-in-nodes/MergeImageLists.mdx b/ko/built-in-nodes/MergeImageLists.mdx new file mode 100644 index 000000000..e55f8e049 --- /dev/null +++ b/ko/built-in-nodes/MergeImageLists.mdx @@ -0,0 +1,29 @@ +--- +title: "MergeImageLists - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MergeImageLists node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MergeImageLists" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeImageLists/en.md) + +이미지 리스트 병합 노드는 여러 개별 이미지 리스트를 하나의 연속된 리스트로 결합합니다. 각 연결된 입력에서 모든 이미지를 가져와 수신된 순서대로 차례로 추가하는 방식으로 작동합니다. 이는 다양한 소스의 이미지를 추가 처리하기 위해 구성하거나 일괄 처리할 때 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 병합할 이미지 리스트입니다. 이 입력은 여러 연결을 수용할 수 있으며, 각 연결된 리스트는 최종 출력에 연결됩니다. | IMAGE | 예 | - | + +**참고:** 이 노드는 여러 입력을 수신하도록 설계되었습니다. 단일 `images` 입력 소켓에 여러 이미지 리스트를 연결할 수 있습니다. 노드는 연결된 모든 리스트의 모든 이미지를 자동으로 하나의 출력 리스트로 연결합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 연결된 모든 입력 리스트의 모든 이미지를 포함하는 단일 병합 리스트입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeImageLists/ko.md) + +--- +**Source fingerprint (SHA-256):** `8fc53091b817a5036aae022aa841ba11fae0ed3242a969f5ae9072f48e061366` diff --git a/ko/built-in-nodes/MergeSplat.mdx b/ko/built-in-nodes/MergeSplat.mdx new file mode 100644 index 000000000..ab5142857 --- /dev/null +++ b/ko/built-in-nodes/MergeSplat.mdx @@ -0,0 +1,33 @@ +--- +title: "MergeSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MergeSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MergeSplat" +icon: "circle" +mode: wide +--- +# 병합 스플랫 + +Merge Splats 노드는 여러 가우시안 스플랫 모델을 데이터를 연결하여 단일 스플랫으로 결합합니다. 이는 동일한 잠재 변수(latent)를 다른 시드(seed)로 생성한 여러 디코드 결과를 병합할 때 유용하며, 표면을 더 조밀하게 만들고 3D 메시 생성 시 품질을 향상시킬 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `splat0` | 병합할 첫 번째 가우시안 스플랫 | SPLAT | 예 | 최소 1개 스플랫 필요 | +| `splat1` | 병합할 두 번째 가우시안 스플랫 | SPLAT | 예 | 최소 1개 스플랫 필요 | +| `splat2` | 병합할 추가 가우시안 스플랫 (선택 사항) | SPLAT | 아니요 | 최대 총 32개 스플랫 | +| `splat3` | 병합할 추가 가우시안 스플랫 (선택 사항) | SPLAT | 아니요 | 최대 총 32개 스플랫 | +| ... | 추가 스플랫 (splat31까지) | SPLAT | 아니요 | 최대 총 32개 스플랫 | + +**참고:** 입력 목록은 스플랫을 연결하면 자동으로 새 슬롯이 생성됩니다. 최소 하나 이상의 스플랫을 연결해야 합니다. 이 노드는 최소 2개에서 최대 32개의 스플랫을 허용합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `splat` | 모든 입력 스플랫이 함께 연결된 병합된 가우시안 스플랫 | SPLAT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeSplat/ko.md) + +--- +**Source fingerprint (SHA-256):** `597671a3c37d1a4fb7b5a772396e08b7041b3fe8f04120891b1382d42e409d26` diff --git a/ko/built-in-nodes/MergeTextLists.mdx b/ko/built-in-nodes/MergeTextLists.mdx new file mode 100644 index 000000000..c7b037c28 --- /dev/null +++ b/ko/built-in-nodes/MergeTextLists.mdx @@ -0,0 +1,29 @@ +--- +title: "MergeTextLists - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MergeTextLists node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MergeTextLists" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeTextLists/en.md) + +이 노드는 여러 텍스트 목록을 하나의 결합된 목록으로 병합합니다. 텍스트 입력을 목록 형태로 받아 연결하도록 설계되었습니다. 노드는 병합된 목록의 총 텍스트 개수를 기록합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `텍스트` | 병합할 텍스트 목록입니다. 여러 목록을 입력에 연결할 수 있으며, 하나로 연결됩니다. | STRING | 예 | 해당 없음 | + +**참고:** 이 노드는 그룹 프로세스(`is_group_process = True`)로 구성되어 있어, 기본 처리 함수가 실행되기 전에 여러 목록 입력을 자동으로 연결하여 처리합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `텍스트` | 모든 입력 텍스트를 포함하는 단일 병합 목록입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeTextLists/ko.md) + +--- +**Source fingerprint (SHA-256):** `043a39a373d03f1ff79dd0746070171bab4d5d915c985e4e64fd35f802b09f69` diff --git a/ko/built-in-nodes/MeshyAnimateModelNode.mdx b/ko/built-in-nodes/MeshyAnimateModelNode.mdx new file mode 100644 index 000000000..68b0d526b --- /dev/null +++ b/ko/built-in-nodes/MeshyAnimateModelNode.mdx @@ -0,0 +1,30 @@ +--- +title: "MeshyAnimateModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyAnimateModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MeshyAnimateModelNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md) + +이 노드는 Meshy 서비스를 사용하여 이미 리깅된 3D 캐릭터 모델에 특정 애니메이션을 적용합니다. 이전 리깅 작업의 작업 ID와 라이브러리에서 원하는 애니메이션을 선택하기 위한 액션 ID를 입력받습니다. 그런 다음 노드는 요청을 처리하고 애니메이션된 모델을 GLB 및 FBX 파일 형식으로 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `rig_task_id` | 이전에 완료된 Meshy 캐릭터 리깅 작업의 고유 작업 ID입니다. | STRING | 예 | 해당 없음 | +| `action_id` | 적용할 애니메이션 액션의 ID 번호입니다. 사용 가능한 값 목록은 [https://docs.meshy.ai/en/api/animation-library](https://docs.meshy.ai/en/api/animation-library)를 참조하십시오. (기본값: 0) | INT | 예 | 0 ~ 696 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `GLB` | 애니메이션된 모델의 문자열 식별자입니다. 이 출력은 이전 버전과의 호환성을 위해서만 제공됩니다. | STRING | +| `FBX` | GLB 형식의 애니메이션된 3D 모델 파일입니다. | FILE3DGLB | +| `FBX` | FBX 형식의 애니메이션된 3D 모델 파일입니다. | FILE3DFBX | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyAnimateModelNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `3b7610b5f6f763dde86a52f9212b3fc98f41e54bda30097fcb8f5f0bd020899e` diff --git a/ko/built-in-nodes/MeshyImageToModelNode.mdx b/ko/built-in-nodes/MeshyImageToModelNode.mdx new file mode 100644 index 000000000..f4295b24c --- /dev/null +++ b/ko/built-in-nodes/MeshyImageToModelNode.mdx @@ -0,0 +1,47 @@ +--- +title: "MeshyImageToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyImageToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MeshyImageToModelNode" +icon: "circle" +mode: wide +--- +# Meshy: 이미지-모델 노드 + +Meshy: 이미지-모델 노드는 Meshy API를 사용하여 단일 입력 이미지로부터 3D 모델을 생성합니다. 이미지를 업로드하고 처리 작업을 제출한 후, 생성된 3D 모델 파일(GLB 및 FBX)과 참조용 작업 ID를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 생성에 사용할 AI 모델 버전을 지정합니다. | COMBO | 예 | `"latest"` | +| `image` | 3D 모델로 변환할 입력 이미지입니다. | IMAGE | 예 | - | +| `should_remesh` | 생성된 메시를 처리할지 여부를 결정합니다. `"false"`로 설정하면 처리되지 않은 삼각형 메시가 반환됩니다. | DYNAMIC COMBO | 예 | `"true"`
`"false"` | +| `topology` | 리메시된 모델의 대상 폴리곤 토폴로지입니다. 이 입력은 `should_remesh`가 `"true"`로 설정된 경우에만 사용 가능합니다. | COMBO | 아니요* | `"triangle"`
`"quad"` | +| `target_polycount` | 리메시된 모델의 대상 폴리곤 수입니다. 이 입력은 `should_remesh`가 `"true"`로 설정된 경우에만 사용 가능합니다. 기본값은 300000입니다. | INT | 아니요* | 100 - 300000 | +| `symmetry_mode` | 생성된 3D 모델에 적용되는 대칭을 제어합니다. | COMBO | 예 | `"auto"`
`"on"`
`"off"` | +| `should_texture` | 모델에 텍스처를 생성할지 여부를 결정합니다. `"false"`로 설정하면 텍스처 단계를 건너뛰고 텍스처가 없는 메시가 반환됩니다. | DYNAMIC COMBO | 예 | `"true"`
`"false"` | +| `enable_pbr` | `should_texture`가 `"true"`인 경우, 이 옵션은 기본 색상 외에 PBR 맵(메탈릭, 거칠기, 노멀)을 생성합니다. 기본값은 `False`입니다. | BOOLEAN | 아니요* | - | +| `texture_prompt` | 텍스처링 과정을 안내하는 텍스트 프롬프트입니다(최대 600자). 이 입력은 `should_texture`가 `"true"`로 설정된 경우에만 사용 가능합니다. `texture_image`와 동시에 사용할 수 없습니다. | STRING | 아니요* | - | +| `texture_image` | 텍스처링 과정을 안내하는 이미지입니다. 이 입력은 `should_texture`가 `"true"`로 설정된 경우에만 사용 가능합니다. `texture_prompt`와 동시에 사용할 수 없습니다. | IMAGE | 아니요* | - | +| `pose_mode` | 생성된 모델의 포즈 모드를 지정합니다. 고급 매개변수입니다. | COMBO | 예 | `""` (빈 값)
`"A-pose"`
`"T-pose"` | +| `seed` | 생성 과정을 위한 시드 값입니다. 시드 값과 관계없이 결과는 비결정적입니다. 기본값은 0입니다. | INT | 예 | 0 - 2147483647 | + +**매개변수 제약 조건 참고:** + +* `topology` 및 `target_polycount` 입력은 `should_remesh`가 `"true"`로 설정된 경우에만 사용 가능합니다. +* `enable_pbr`, `texture_prompt` 및 `texture_image` 입력은 `should_texture`가 `"true"`로 설정된 경우에만 사용 가능합니다. +* `texture_prompt`와 `texture_image`를 동시에 사용할 수 없습니다. `should_texture`가 `"true"`일 때 두 입력이 모두 제공되면 노드에서 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `meshy_task_id` | 생성된 GLB 모델의 파일 이름입니다. (하위 호환성을 위해 유지됩니다). | STRING | +| `GLB` | Meshy API 작업의 고유 식별자로, 참조 또는 문제 해결에 사용할 수 있습니다. | MESHY_TASK_ID | +| `FBX` | GLB 파일 형식으로 생성된 3D 모델입니다. | FILE3DGLB | +| `FBX` | FBX 파일 형식으로 생성된 3D 모델입니다. | FILE3DFBX | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyImageToModelNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `134d9250d8b447bbbd2905f827e81b67f491ba355ebb93d4d256324b644100a2` diff --git a/ko/built-in-nodes/MeshyMultiImageToModelNode.mdx b/ko/built-in-nodes/MeshyMultiImageToModelNode.mdx new file mode 100644 index 000000000..79d9c4964 --- /dev/null +++ b/ko/built-in-nodes/MeshyMultiImageToModelNode.mdx @@ -0,0 +1,46 @@ +--- +title: "MeshyMultiImageToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyMultiImageToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MeshyMultiImageToModelNode" +icon: "circle" +mode: wide +--- +이 노드는 Meshy API를 사용하여 여러 입력 이미지로부터 3D 모델을 생성합니다. 제공된 이미지를 업로드하고 처리 작업을 제출한 후, 결과 3D 모델 파일(GLB 및 FBX)과 참조용 작업 ID를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 사용할 AI 모델 버전을 지정합니다. | COMBO | 예 | `"latest"` | +| `images` | 3D 모델 생성에 사용되는 이미지 세트입니다. 2~4개의 이미지를 제공해야 합니다. | IMAGE | 예 | 2~4개 이미지 | +| `should_remesh` | 생성된 메시를 처리할지 여부를 결정합니다. `"false"`로 설정하면 처리되지 않은 삼각형 메시가 반환됩니다. | COMBO | 예 | `"true"`
`"false"` | +| `topology` | 리메시된 출력의 대상 폴리곤 유형입니다. 이 매개변수는 `should_remesh`가 `"true"`로 설정된 경우에만 사용 가능하며 필수입니다. | COMBO | 아니요 | `"triangle"`
`"quad"` | +| `target_polycount` | 리메시된 모델의 대상 폴리곤 수입니다(기본값: 300000). 이 매개변수는 `should_remesh`가 `"true"`로 설정된 경우에만 사용 가능합니다. | INT | 아니요 | 100~300000 | +| `symmetry_mode` | 생성된 모델에 대칭을 적용할지 여부를 제어합니다. | COMBO | 예 | `"auto"`
`"on"`
`"off"` | +| `should_texture` | 텍스처를 생성할지 여부를 결정합니다. `"false"`로 설정하면 텍스처 단계를 건너뛰고 텍스처가 없는 메시가 반환됩니다. | COMBO | 예 | `"true"`
`"false"` | +| `enable_pbr` | `should_texture`가 `"true"`인 경우, 이 옵션은 기본 색상 외에 PBR 맵(메탈릭, 러프니스, 노멀)을 추가로 생성합니다(기본값: False). | BOOLEAN | 아니요 | True / False | +| `texture_prompt` | 텍스처링 과정을 안내하는 텍스트 프롬프트입니다(최대 600자). `texture_image`와 동시에 사용할 수 없습니다. 이 매개변수는 `should_texture`가 `"true"`로 설정된 경우에만 사용 가능합니다. | STRING | 아니요 | - | +| `texture_image` | 텍스처링 과정을 안내하는 이미지입니다. `texture_image` 또는 `texture_prompt` 중 하나만 동시에 사용할 수 있습니다. 이 매개변수는 `should_texture`가 `"true"`로 설정된 경우에만 사용 가능합니다. | IMAGE | 아니요 | - | +| `pose_mode` | 생성된 모델의 포즈 모드를 지정합니다. | COMBO | 예 | `""` (비어 있음)
`"A-pose"`
`"T-pose"` | +| `seed` | 생성 과정의 시드 값입니다(기본값: 0). 시드와 관계없이 결과는 비결정적이지만, 시드를 변경하면 노드가 다시 실행될 수 있습니다. | INT | 예 | 0~2147483647 | + +**매개변수 제약 조건:** + +* `images` 입력에는 2~4개의 이미지를 제공해야 합니다. +* `topology` 및 `target_polycount` 매개변수는 `should_remesh`가 `"true"`로 설정된 경우에만 활성화됩니다. +* `enable_pbr`, `texture_prompt` 및 `texture_image` 매개변수는 `should_texture`가 `"true"`로 설정된 경우에만 활성화됩니다. +* `texture_prompt`와 `texture_image`는 동시에 사용할 수 없으며, 상호 배타적입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `meshy_task_id` | 생성된 GLB 모델의 파일 이름입니다. 이 출력은 하위 호환성을 위해 제공됩니다. | STRING | +| `GLB` | Meshy API 작업의 고유 식별자입니다. | MESHY_TASK_ID | +| `FBX` | GLB 형식으로 생성된 3D 모델입니다. | FILE3DGLB | +| `FBX` | FBX 형식으로 생성된 3D 모델입니다. | FILE3DFBX | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `e6f75f50645c8b2cf5ebbe037edb077ef1eb0ea1baf67c581d60ac0033686d00` diff --git a/ko/built-in-nodes/MeshyRefineNode.mdx b/ko/built-in-nodes/MeshyRefineNode.mdx new file mode 100644 index 000000000..7a873d985 --- /dev/null +++ b/ko/built-in-nodes/MeshyRefineNode.mdx @@ -0,0 +1,36 @@ +--- +title: "MeshyRefineNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyRefineNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MeshyRefineNode" +icon: "circle" +mode: wide +--- +# Meshy: 정제 초안 모델 노드 + +Meshy: 정제 초안 모델 노드는 이전에 생성된 3D 초안 모델을 가져와 품질을 개선하고 선택적으로 텍스처를 추가합니다. Meshy API에 정제 작업을 제출하고 처리가 완료되면 최종 3D 모델 파일을 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 정제에 사용할 AI 모델을 지정합니다. 현재는 "latest" 모델만 사용 가능합니다. | COMBO | 예 | `"latest"` | +| `meshy_task_id` | 정제하려는 초안 모델의 고유 작업 ID입니다. | MESHY_TASK_ID | 예 | - | +| `enable_pbr` | 기본 색상 외에 PBR 맵(금속성, 거칠기, 법선)을 생성합니다. 참고: 조각 스타일을 사용할 때는 false로 설정해야 합니다. 조각 스타일은 자체 PBR 맵을 생성하기 때문입니다. (기본값: `False`) | BOOLEAN | 아니요 | - | +| `texture_prompt` | 텍스처링 과정을 안내하는 텍스트 프롬프트를 제공합니다. 최대 600자입니다. `texture_image`와 동시에 사용할 수 없습니다. (기본값: 빈 문자열) | STRING | 아니요 | - | +| `texture_image` | `texture_image` 또는 `texture_prompt` 중 하나만 동시에 사용할 수 있습니다. | IMAGE | 아니요 | - | + +**참고:** `texture_prompt`와 `texture_image` 입력은 상호 배타적입니다. 동일한 작업에서 텍스처링을 위해 텍스트 프롬프트와 이미지를 동시에 제공할 수 없습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `meshy_task_id` | 생성된 GLB 모델의 파일 이름입니다. (하위 호환성 전용) | STRING | +| `GLB` | 제출된 정제 작업의 고유 작업 ID입니다. | MESHY_TASK_ID | +| `FBX` | GLB 형식의 최종 정제된 3D 모델입니다. | FILE3DGLB | +| `FBX` | FBX 형식의 최종 정제된 3D 모델입니다. | FILE3DFBX | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRefineNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `cdf620ead0a4504cbb5d5554e0fe40e4cadd08884726f147cd486e63ab37f278` diff --git a/ko/built-in-nodes/MeshyRigModelNode.mdx b/ko/built-in-nodes/MeshyRigModelNode.mdx new file mode 100644 index 000000000..92aa0cb2e --- /dev/null +++ b/ko/built-in-nodes/MeshyRigModelNode.mdx @@ -0,0 +1,32 @@ +--- +title: "MeshyRigModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyRigModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MeshyRigModelNode" +icon: "circle" +mode: wide +--- +Meshy: Rig Model 노드는 이전 Meshy 작업의 3D 모델을 가져와 자동으로 스켈레톤을 생성하여 포즈와 애니메이션을 적용할 수 있는 리깅된 캐릭터를 만듭니다. 이 노드는 리깅된 모델을 GLB 및 FBX 파일 형식으로 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `meshy_task_id` | 리깅할 모델을 생성한 이전 Meshy 작업(예: 텍스트-투-3D 또는 이미지-투-3D)의 고유 작업 ID입니다. | STRING | 예 | 해당 없음 | +| `height_meters` | 캐릭터 모델의 대략적인 높이(미터 단위)입니다. 스케일링 및 리깅 정확도에 도움이 됩니다(기본값: 1.7). | FLOAT | 예 | 0.1 ~ 15.0 | +| `texture_image` | 모델의 UV 언랩핑된 베이스 컬러 텍스처 이미지입니다. | IMAGE | 아니요 | 해당 없음 | + +**참고:** 자동 리깅 프로세스는 현재 텍스처가 없는 메시, 인간형이 아닌 에셋, 또는 팔과 다리 및 신체 구조가 명확하지 않은 인간형 에셋에는 적합하지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `rig_task_id` | 이전 버전과의 호환성을 위한 레거시 출력으로, GLB 모델의 파일 이름을 포함합니다. | STRING | +| `GLB` | 이 리깅 작업의 고유 작업 ID로, 결과를 참조하는 데 사용할 수 있습니다. | STRING | +| `FBX` | GLB 파일 형식으로 저장된 리깅된 3D 캐릭터 모델입니다. | FILE3DGLB | +| `FBX` | FBX 파일 형식으로 저장된 리깅된 3D 캐릭터 모델입니다. | FILE3DFBX | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRigModelNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `91e06e3465d3d309d2267ae307ec5a704af3903b7a6d7fb6011217dd58a63973` diff --git a/ko/built-in-nodes/MeshyTextToModelNode.mdx b/ko/built-in-nodes/MeshyTextToModelNode.mdx new file mode 100644 index 000000000..52f7760c7 --- /dev/null +++ b/ko/built-in-nodes/MeshyTextToModelNode.mdx @@ -0,0 +1,40 @@ +--- +title: "MeshyTextToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyTextToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MeshyTextToModelNode" +icon: "circle" +mode: wide +--- +# Meshy: 텍스트-모델 노드 + +Meshy: 텍스트-모델 노드는 Meshy API를 사용하여 텍스트 설명으로부터 3D 모델을 생성합니다. 프롬프트와 설정을 포함한 요청을 API에 전송한 후, 생성이 완료될 때까지 대기하고 결과 모델 파일을 다운로드합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 사용할 AI 모델 버전을 지정합니다. 현재는 "latest" 버전만 사용 가능합니다. | COMBO | 예 | `"latest"` | +| `prompt` | 생성하려는 3D 모델의 텍스트 설명입니다. 1자에서 600자 사이여야 합니다. | STRING | 예 | - | +| `style` | 생성된 3D 모델의 예술적 스타일입니다. | COMBO | 예 | `"realistic"`
`"sculpture"` | +| `should_remesh` | 생성된 메시의 후처리 여부를 제어합니다. "false"로 설정하면 노드는 후처리되지 않은 삼각형 메시를 반환합니다. "true"를 선택하면 토폴로지와 폴리곤 수에 대한 추가 매개변수가 표시됩니다. | DYNAMIC COMBO | 예 | `"true"`
`"false"` | +| `topology` | 리메시된 모델의 대상 폴리곤 유형입니다. 이 매개변수는 `should_remesh`가 "true"로 설정된 경우에만 사용 가능하며 필수입니다. | COMBO | 아니요* | `"triangle"`
`"quad"` | +| `target_polycount` | 리메시된 모델의 대상 폴리곤 수입니다. 기본값은 300000입니다. 이 매개변수는 `should_remesh`가 "true"로 설정된 경우에만 사용 가능하며 필수입니다. | INT | 아니요* | 100 - 300000 | +| `symmetry_mode` | 생성된 모델의 대칭을 제어합니다. | COMBO | 예 | `"auto"`
`"on"`
`"off"` | +| `pose_mode` | 생성된 모델의 포즈 모드를 지정합니다. 빈 문자열은 특정 포즈를 요청하지 않음을 의미합니다. | COMBO | 예 | `""`
`"A-pose"`
`"T-pose"` | +| `seed` | 생성을 위한 시드 값입니다. 이 값을 설정하면 노드의 재실행 여부가 결정되지만, 시드 값과 관계없이 결과는 비결정적입니다. 기본값은 0입니다. | INT | 예 | 0 - 2147483647 | + +*참고: `topology`와 `target_polycount` 매개변수는 조건부 필수 항목입니다. 이 매개변수는 `should_remesh` 매개변수가 "true"로 설정된 경우에만 나타나며 설정해야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `meshy_task_id` | 생성된 GLB 모델의 파일 이름입니다. 이 출력은 하위 호환성을 위해 제공됩니다. | STRING | +| `GLB` | Meshy API 작업의 고유 식별자입니다. | MESHY_TASK_ID | +| `FBX` | GLB 형식의 생성된 3D 모델 파일입니다. | FILE3DGLB | +| `FBX` | FBX 형식의 생성된 3D 모델 파일입니다. | FILE3DFBX | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextToModelNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `122eee5488a89433bd1f3bf79ccd8e9c51fd23cc1dfb208c39a0628c2ad3d817` diff --git a/ko/built-in-nodes/MeshyTextureNode.mdx b/ko/built-in-nodes/MeshyTextureNode.mdx new file mode 100644 index 000000000..c7b22a19f --- /dev/null +++ b/ko/built-in-nodes/MeshyTextureNode.mdx @@ -0,0 +1,40 @@ +--- +title: "MeshyTextureNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyTextureNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MeshyTextureNode" +icon: "circle" +mode: wide +--- +# Meshy: 텍스처 노드 + +Meshy: 텍스처 노드는 AI로 생성된 텍스처를 3D 모델에 적용합니다. 이전 Meshy 3D 생성 또는 변환 노드의 작업 ID를 받아 텍스트 설명이나 참조 이미지를 사용하여 모델에 새로운 텍스처를 생성합니다. 이 노드는 텍스처가 적용된 모델을 GLB 및 FBX 파일 형식으로 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 텍스처링에 사용할 AI 모델 버전입니다. 현재는 "latest" 버전만 사용 가능합니다. | COMBO | 예 | `"latest"` | +| `meshy_task_id` | 이전 Meshy 3D 생성 또는 변환 작업의 고유 식별자(작업 ID)입니다. 텍스처를 적용할 기본 3D 모델을 제공합니다. | MESHY_TASK_ID | 예 | - | +| `원본 UV 사용` | 새 UV를 생성하는 대신 모델의 원래 UV를 사용합니다. 활성화하면(기본값: `True`) Meshy가 업로드된 모델의 기존 텍스처를 보존합니다. 모델에 원래 UV가 없는 경우 출력 품질이 저하될 수 있습니다. | BOOLEAN | 아니요 | - | +| `pbr` | 텍스처가 적용된 모델에 물리 기반 렌더링(PBR) 재질 출력을 활성화합니다(기본값: `False`). | BOOLEAN | 아니요 | - | +| `텍스트 스타일 프롬프트` | 원하는 객체의 텍스처 스타일을 텍스트로 설명합니다. 최대 600자입니다. `이미지 스타일`과 동시에 사용할 수 없습니다. | STRING | 아니요 | - | +| `이미지 스타일` | 텍스처링 과정을 안내하는 2D 이미지입니다. `텍스트 스타일 프롬프트`와 동시에 사용할 수 없습니다. | IMAGE | 아니요 | - | + +**매개변수 제약 조건:** + +* `text_style_prompt` 또는 `image_style` 중 하나는 반드시 제공해야 하지만, 두 가지를 동시에 제공할 수는 없습니다. +* `text_style_prompt`는 최대 600자로 제한됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `meshy_task_id` | 생성된 GLB 모델의 파일 이름입니다. 이 출력은 하위 호환성을 위해 제공됩니다. | STRING | +| `GLB` | 이 텍스처링 작업의 고유 작업 식별자로, 결과를 참조하는 데 사용할 수 있습니다. | MODEL_TASK_ID | +| `FBX` | GLB 파일 형식으로 저장된 텍스처가 적용된 3D 모델입니다. | FILE3DGLB | +| `FBX` | FBX 파일 형식으로 저장된 텍스처가 적용된 3D 모델입니다. | FILE3DFBX | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextureNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `380b682a8290c69e71a204c8c3d6c2d4fb2c15f4bc1679b98c7fc4fd9ec9e1b3` diff --git a/ko/built-in-nodes/MinimaxHailuoVideoNode.mdx b/ko/built-in-nodes/MinimaxHailuoVideoNode.mdx new file mode 100644 index 000000000..4a29730f2 --- /dev/null +++ b/ko/built-in-nodes/MinimaxHailuoVideoNode.mdx @@ -0,0 +1,36 @@ +--- +title: "MinimaxHailuoVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MinimaxHailuoVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MinimaxHailuoVideoNode" +icon: "circle" +mode: wide +--- +다음은 ComfyUI 노드 문서의 한국어 번역입니다. + +## 개요 + +MiniMax Hailuo-02 모델을 사용하여 텍스트 프롬프트로부터 비디오를 생성합니다. 선택적으로 첫 번째 프레임으로 시작 이미지를 제공하여 해당 이미지에서 이어지는 비디오를 만들 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `텍스트 프롬프트` | 비디오 생성을 안내하는 텍스트 프롬프트입니다. | STRING | 예 | - | +| `시드` | 노이즈 생성을 위한 난수 시드입니다 (기본값: 0). | INT | 아니요 | 0 ~ 18446744073709551615 | +| `첫 번째 프레임 이미지` | 비디오 생성 시 첫 번째 프레임으로 사용할 선택적 이미지입니다. | IMAGE | 아니요 | - | +| `프롬프트 최적화` | 필요 시 생성 품질을 개선하기 위해 프롬프트를 최적화합니다 (기본값: True). | BOOLEAN | 아니요 | - | +| `지속 시간` | 출력 비디오의 길이(초)입니다 (기본값: 6). | COMBO | 아니요 | `6`
`10` | +| `해상도` | 비디오 디스플레이의 해상도입니다. 1080p는 1920x1080, 768p는 1366x768입니다 (기본값: "768P"). | COMBO | 아니요 | `"768P"`
`"1080P"` | + +**참고:** MiniMax-Hailuo-02 모델을 1080P 해상도로 사용하는 경우, 비디오 길이는 6초로 제한됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `5466b9cda979a30158b818743de0e0cf30eb3e27015d431eb04a370029250a4c` diff --git a/ko/built-in-nodes/MinimaxImageToVideoNode.mdx b/ko/built-in-nodes/MinimaxImageToVideoNode.mdx new file mode 100644 index 000000000..3750faaab --- /dev/null +++ b/ko/built-in-nodes/MinimaxImageToVideoNode.mdx @@ -0,0 +1,30 @@ +--- +title: "MinimaxImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MinimaxImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MinimaxImageToVideoNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md) + +MiniMax의 API를 사용하여 이미지, 프롬프트 및 선택적 매개변수를 기반으로 동영상을 동기식으로 생성합니다. 이 노드는 입력 이미지와 텍스트 설명을 사용하여 비디오 시퀀스를 생성하며, 다양한 모델 옵션과 구성 설정을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 동영상 생성의 첫 번째 프레임으로 사용할 이미지 | IMAGE | 예 | - | +| `프롬프트 텍스트` | 동영상 생성을 안내하는 텍스트 프롬프트 (기본값: 빈 문자열) | STRING | 예 | - | +| `모델` | 동영상 생성에 사용할 모델 (기본값: "I2V-01") | COMBO | 예 | "I2V-01-Director"
"I2V-01"
"I2V-01-live" | +| `시드` | 노이즈 생성에 사용되는 난수 시드 (기본값: 0) | INT | 아니요 | 0 ~ 18446744073709551615 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 동영상 출력 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `9ad1659352e363361f09d6a7a0e24835056b20cc84532247251f516b0ac284e8` diff --git a/ko/built-in-nodes/MinimaxSubjectToVideoNode.mdx b/ko/built-in-nodes/MinimaxSubjectToVideoNode.mdx new file mode 100644 index 000000000..fe8c9d0f2 --- /dev/null +++ b/ko/built-in-nodes/MinimaxSubjectToVideoNode.mdx @@ -0,0 +1,30 @@ +--- +title: "MinimaxSubjectToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MinimaxSubjectToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MinimaxSubjectToVideoNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md) + +MiniMax의 API를 사용하여 대상 이미지와 텍스트 프롬프트를 기반으로 동영상을 동기식으로 생성합니다. 이 노드는 대상 이미지와 설명을 입력받아 프롬프트에 따라 해당 대상을 애니메이션화하거나 특징으로 하는 동영상을 만듭니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `subject` | 동영상 생성을 위해 참조할 대상 이미지 | IMAGE | 예 | - | +| `prompt_text` | 동영상 생성을 안내하는 텍스트 프롬프트 (기본값: 빈 문자열) | STRING | 예 | - | +| `model` | 동영상 생성에 사용할 모델 (기본값: "S2V-01") | COMBO | 아니요 | "S2V-01" | +| `seed` | 노이즈 생성에 사용되는 난수 시드 (기본값: 0) | INT | 아니요 | 0 ~ 18446744073709551615 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력된 대상 이미지와 프롬프트를 기반으로 생성된 동영상 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `69651367e6c452ec1f3a4765b74a28cc6b579288f3319ed70fa7c16a1ced0dbc` diff --git a/ko/built-in-nodes/MinimaxTextToVideoNode.mdx b/ko/built-in-nodes/MinimaxTextToVideoNode.mdx new file mode 100644 index 000000000..faa589aef --- /dev/null +++ b/ko/built-in-nodes/MinimaxTextToVideoNode.mdx @@ -0,0 +1,29 @@ +--- +title: "MinimaxTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MinimaxTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MinimaxTextToVideoNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md) + +프롬프트와 선택적 매개변수를 기반으로 MiniMax의 API를 사용하여 동기식으로 비디오를 생성합니다. 이 노드는 MiniMax의 텍스트-비디오 서비스에 연결하여 텍스트 설명으로부터 비디오 콘텐츠를 만듭니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트 텍스트` | 비디오 생성을 안내하는 텍스트 프롬프트 | STRING | 예 | - | +| `모델` | 비디오 생성에 사용할 모델 (기본값: "T2V-01") | COMBO | 아니요 | "T2V-01"
"T2V-01-Director" | +| `시드` | 노이즈 생성에 사용되는 난수 시드 (기본값: 0) | INT | 아니요 | 0 ~ 18446744073709551615 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력 프롬프트를 기반으로 생성된 비디오 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `bdbd8f9defc4c626f07b36c1ba9859155fa90a2d7ef9a491c30dac4d003d39be` diff --git a/ko/built-in-nodes/MoGeInference.mdx b/ko/built-in-nodes/MoGeInference.mdx new file mode 100644 index 000000000..e06cae9d5 --- /dev/null +++ b/ko/built-in-nodes/MoGeInference.mdx @@ -0,0 +1,33 @@ +--- +title: "MoGeInference - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGeInference node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGeInference" +icon: "circle" +mode: wide +--- +# 개요 + +단일 이미지에 MoGe를 실행하여 깊이와 형상을 추정합니다. 이 노드는 MoGe 모델을 통해 입력 이미지를 처리하여 3D 포인트 클라우드, 깊이 맵, 카메라 내부 파라미터, 마스크 및 표면 법선을 생성합니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `moge_model` | 추론에 사용할 MoGe 모델입니다. | MOGE_MODEL | 예 | 해당 없음 | +| `image` | 깊이 및 형상 추정을 위한 입력 이미지입니다. | IMAGE | 예 | 해당 없음 | +| `resolution_level` | 처리 해상도를 제어합니다. 0이 가장 빠르고, 9가 가장 상세합니다. (기본값: 9) | INT | 예 | 0 ~ 9 | +| `fov_x_degrees` | 소스 카메라의 수평 시야각(도)입니다. 깊이 맵을 3D로 역투영하는 데 사용되는 초점 거리를 설정합니다. 0.0으로 설정하면 예측된 포인트에서 시야각을 자동으로 복원합니다. (기본값: 0.0) | FLOAT | 예 | 0.0 ~ 170.0 | +| `batch_size` | 추론 호출당 처리되는 이미지 수입니다. 긴 동영상이나 대용량 이미지 세트를 처리할 때 메모리가 부족하면 이 값을 낮추십시오. (기본값: 4) | INT | 예 | 1 ~ 64 | +| `force_projection` | (고급) 예측된 포인트의 투영을 강제합니다. (기본값: True) | BOOLEAN | 예 | True/False | +| `apply_mask` | 활성화하면 마스크 처리된(하늘 또는 무효) 픽셀을 포인트 및 깊이 출력에서 무한대로 설정합니다. 이는 메싱 도구가 이러한 영역을 무시하는 데 도움이 됩니다. 비활성화하면 모든 영역에서 원시 예측 형상을 유지하며, 마스크는 별도로 반환됩니다. (기본값: True) | BOOLEAN | 예 | True/False | + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `moge_geometry` | 추정된 형상을 포함하는 딕셔너리입니다. 원본 `image`를 포함하며, `points`(3D 포인트 클라우드), `depth`(깊이 맵), `intrinsics`(카메라 내부 파라미터 행렬), `mask`(유효 픽셀 식별 마스크), `normal`(표면 법선)을 포함할 수 있습니다. | MOGE_GEOMETRY | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/ko.md) + +--- +**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79` diff --git a/ko/built-in-nodes/MoGePanoramaInference.mdx b/ko/built-in-nodes/MoGePanoramaInference.mdx new file mode 100644 index 000000000..d60a1a260 --- /dev/null +++ b/ko/built-in-nodes/MoGePanoramaInference.mdx @@ -0,0 +1,32 @@ +--- +title: "MoGePanoramaInference - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGePanoramaInference node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGePanoramaInference" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 정구형 파노라마 이미지에 대한 깊이 추정을 수행합니다. 파노라마를 12개의 원근 뷰로 분할하고, 각 뷰에 대해 MoGe 깊이 추정 모델을 실행한 후, 결과를 다시 원본 파노라마에 대한 단일 완전한 깊이 맵으로 병합하는 방식으로 작동합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `moge_model` | 추론에 사용할 MoGe 모델입니다. | MOGE_MODEL | 예 | | +| `image` | 정구형 파노라마 이미지(모든 종횡비 가능)입니다. | IMAGE | 예 | | +| `resolution_level` | 뷰별 세부 수준입니다. 값이 높을수록 더 상세한 깊이 맵이 생성됩니다(기본값: 9). | INT | 예 | 0 ~ 9 | +| `split_resolution` | 파노라마 분할 후 각 원근 뷰의 해상도입니다(기본값: 512). | INT | 예 | 256 ~ 1024 | +| `merge_resolution` | 최종 병합된 정구형 깊이 맵의 긴 변 해상도입니다(기본값: 1920). | INT | 예 | 256 ~ 8192 | +| `batch_size` | 각 추론 배치에서 처리할 원근 뷰의 수입니다. 총 뷰 수는 12개입니다(기본값: 4). | INT | 예 | 1 ~ 12 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `moge_geometry` | 추정된 형상을 포함하는 사전입니다: `points`(3D 포인트 클라우드), `depth`(깊이 맵), `mask`(유효 영역 마스크), `image`(입력 이미지). | MOGE_GEOMETRY | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/ko.md) + +--- +**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b` diff --git a/ko/built-in-nodes/MoGePointMapToMesh.mdx b/ko/built-in-nodes/MoGePointMapToMesh.mdx new file mode 100644 index 000000000..431af8b69 --- /dev/null +++ b/ko/built-in-nodes/MoGePointMapToMesh.mdx @@ -0,0 +1,31 @@ +--- +title: "MoGePointMapToMesh - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGePointMapToMesh node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGePointMapToMesh" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 MoGe 포인트 맵을 3D 메시로 변환합니다. MoGe 깊이 추정 노드에서 생성된 형상 데이터를 가져와 UV 좌표와 선택적 텍스처가 포함된 메시로 삼각 측량합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `moge_geometry` | 포인트 맵, 깊이, 그리고 선택적으로 원본 이미지를 포함하는 MoGe 형상 데이터입니다. | MOGE_GEOMETRY | 예 | 해당 없음 | +| `batch_index` | 배치 처리된 MoGe 형상 중 메시로 변환할 이미지를 지정합니다. 이미지별 정점 개수가 다르므로 배치를 단일 MESH로 쌓을 수 없습니다(기본값: 0). | INT | 예 | 0 ~ 4096 | +| `decimation` | 정점 간격입니다. 1은 전체 해상도를 의미합니다(기본값: 1). | INT | 예 | 1 ~ 8 | +| `discontinuity_threshold` | 3x3 깊이 범위가 이 비율을 초과하는 픽셀을 제거합니다. 0은 비활성화를 의미합니다(기본값: 0.04). | FLOAT | 예 | 0.0 ~ 1.0 | +| `texture` | 원본 이미지를 baseColor 텍스처로 전달합니다(기본값: True). | BOOLEAN | 예 | True/False | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MESH` | 정점, 면, UV 좌표, 그리고 원본 이미지의 선택적 텍스처가 포함된 3D 메시입니다. | MESH | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/ko.md) + +--- +**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f` diff --git a/ko/built-in-nodes/MoGeRender.mdx b/ko/built-in-nodes/MoGeRender.mdx new file mode 100644 index 000000000..d7b5034f8 --- /dev/null +++ b/ko/built-in-nodes/MoGeRender.mdx @@ -0,0 +1,28 @@ +--- +title: "MoGeRender - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGeRender node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGeRender" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 MOGE_GEOMETRY 패킷(MoGe 깊이/법선 추정 노드에서 생성됨)을 받아 표준 이미지 형식으로 렌더링합니다. 깊이 맵, 컬러 깊이 맵, 법선 맵 또는 마스크 중에서 출력을 선택할 수 있습니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `moge_geometry` | MoGe 추정 노드의 지오메트리 데이터 패킷입니다. | MOGE_GEOMETRY | 예 | 해당 없음 | +| `output` | 지오메트리 데이터에서 렌더링할 이미지 유형입니다. DirectX와 OpenGL은 법선 맵의 녹색 채널 규칙을 제어합니다. DirectX: 녹색 = -Y 아래 방향(Unreal). OpenGL: 녹색 = +Y 위 방향(Blender, Substance, Unity, glTF). (기본값: "depth") | COMBO | 예 | `"depth"`
`"depth_colored"`
`"normal_opengl"`
`"normal_directx"`
`"mask"` | + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | RGB 텐서 배치로 렌더링된 이미지입니다. 내용은 `output` 모드에 따라 달라집니다: 회색조 깊이 맵, 컬러 깊이 맵, 법선 맵 또는 마스크입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/ko.md) + +--- +**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe` diff --git a/ko/built-in-nodes/ModelComputeDtype.mdx b/ko/built-in-nodes/ModelComputeDtype.mdx new file mode 100644 index 000000000..8de4c756f --- /dev/null +++ b/ko/built-in-nodes/ModelComputeDtype.mdx @@ -0,0 +1,26 @@ +--- +title: "ModelComputeDtype - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelComputeDtype node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelComputeDtype" +icon: "circle" +mode: wide +--- +ModelComputeDtype 노드는 모델 처리 중 사용되는 연산 데이터 타입(정밀도)을 변경합니다. 입력 모델의 복사본을 생성하고 선택한 정밀도 설정을 적용하여, 하드웨어에 따라 메모리 사용량과 성능을 최적화하는 데 도움을 줍니다. 다양한 정밀도 구성을 디버깅하고 테스트하는 데 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 새로운 연산 데이터 타입을 적용할 입력 모델 | MODEL | 예 | - | +| `dtype` | 모델에 적용할 연산 데이터 타입 (기본값: "default") | STRING | 예 | "default"
"fp32"
"fp16"
"bf16" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 새로운 연산 데이터 타입이 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelComputeDtype/ko.md) + +--- +**Source fingerprint (SHA-256):** `bc65f1e452d0122ad175a8b95f38a36503253c9908157037c516496e65c828e6` diff --git a/ko/built-in-nodes/ModelMergeAdd.mdx b/ko/built-in-nodes/ModelMergeAdd.mdx new file mode 100644 index 000000000..96963c816 --- /dev/null +++ b/ko/built-in-nodes/ModelMergeAdd.mdx @@ -0,0 +1,25 @@ +--- +title: "ModelMergeAdd - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeAdd node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeAdd" +icon: "circle" +mode: wide +--- +## 개요 + +ModelMergeAdd 노드는 한 모델의 주요 패치를 다른 모델에 추가하여 두 모델을 병합하도록 설계되었습니다. 이 과정은 첫 번째 모델을 복제한 후 두 번째 모델의 패치를 적용하여, 두 모델의 특징이나 동작을 결합할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델1` | 복제되어 두 번째 모델의 패치가 추가될 첫 번째 모델입니다. 병합 과정의 기본 모델 역할을 합니다. | `MODEL` | +| `모델2` | 주요 패치가 추출되어 첫 번째 모델에 추가되는 두 번째 모델입니다. 병합된 모델에 추가적인 특징이나 동작을 제공합니다. | `MODEL` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 두 번째 모델의 주요 패치를 첫 번째 모델에 추가하여 두 모델을 병합한 결과입니다. 이 병합된 모델은 두 모델의 특징이나 동작을 결합합니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAdd/ko.md) diff --git a/ko/built-in-nodes/ModelMergeAuraflow.mdx b/ko/built-in-nodes/ModelMergeAuraflow.mdx new file mode 100644 index 000000000..07cbd38b0 --- /dev/null +++ b/ko/built-in-nodes/ModelMergeAuraflow.mdx @@ -0,0 +1,69 @@ +--- +title: "ModelMergeAuraflow - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeAuraflow node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeAuraflow" +icon: "circle" +mode: wide +--- +ModelMergeAuraflow 노드는 두 개의 서로 다른 모델을 혼합하여 다양한 모델 구성 요소에 대한 특정 혼합 가중치를 조정할 수 있도록 합니다. 초기 레이어부터 최종 출력까지 모델의 여러 부분이 병합되는 방식을 세밀하게 제어할 수 있습니다. 이 노드는 병합 과정을 정밀하게 제어하여 사용자 정의 모델 조합을 생성할 때 특히 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합할 첫 번째 모델 | MODEL | 예 | - | +| `모델2` | 병합할 두 번째 모델 | MODEL | 예 | - | +| `init_x_linear.` | 초기 선형 변환에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `positional_encoding` | 위치 인코딩 구성 요소에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `cond_seq_linear.` | 조건부 시퀀스 선형 레이어에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `register_tokens` | 토큰 등록 구성 요소에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `t_embedder.` | 시간 임베딩 구성 요소에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `double_layers.0.` | 이중 레이어 그룹 0에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `double_layers.1.` | 이중 레이어 그룹 1에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `double_layers.2.` | 이중 레이어 그룹 2에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `double_layers.3.` | 이중 레이어 그룹 3에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.0.` | 단일 레이어 0에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.1.` | 단일 레이어 1에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.2.` | 단일 레이어 2에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.3.` | 단일 레이어 3에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.4.` | 단일 레이어 4에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.5.` | 단일 레이어 5에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.6.` | 단일 레이어 6에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.7.` | 단일 레이어 7에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.8.` | 단일 레이어 8에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.9.` | 단일 레이어 9에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.10.` | 단일 레이어 10에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.11.` | 단일 레이어 11에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.12.` | 단일 레이어 12에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.13.` | 단일 레이어 13에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.14.` | 단일 레이어 14에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.15.` | 단일 레이어 15에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.16.` | 단일 레이어 16에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.17.` | 단일 레이어 17에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.18.` | 단일 레이어 18에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.19.` | 단일 레이어 19에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.20.` | 단일 레이어 20에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.21.` | 단일 레이어 21에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.22.` | 단일 레이어 22에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.23.` | 단일 레이어 23에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.24.` | 단일 레이어 24에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.25.` | 단일 레이어 25에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.26.` | 단일 레이어 26에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.27.` | 단일 레이어 27에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.28.` | 단일 레이어 28에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.29.` | 단일 레이어 29에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.30.` | 단일 레이어 30에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `single_layers.31.` | 단일 레이어 31에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `modF.` | modF 구성 요소에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `final_linear.` | 최종 선형 변환에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 지정된 혼합 가중치에 따라 두 입력 모델의 특징을 결합한 병합된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAuraflow/ko.md) + +--- +**Source fingerprint (SHA-256):** `c4959321bba252eb24c945343198d72f50d6021d4dac9945f94e3eb28f1bc3c9` diff --git a/ko/built-in-nodes/ModelMergeBlocks.mdx b/ko/built-in-nodes/ModelMergeBlocks.mdx new file mode 100644 index 000000000..c9ca858ae --- /dev/null +++ b/ko/built-in-nodes/ModelMergeBlocks.mdx @@ -0,0 +1,26 @@ +--- +title: "ModelMergeBlocks - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeBlocks node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeBlocks" +icon: "circle" +mode: wide +--- +ModelMergeBlocks는 고급 모델 병합 작업을 위해 설계된 노드로, 두 모델의 서로 다른 부분에 대해 사용자 지정 혼합 비율을 적용하여 통합할 수 있도록 합니다. 이 노드는 지정된 매개변수에 따라 두 소스 모델의 구성 요소를 선택적으로 병합하여 하이브리드 모델을 생성하는 기능을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델1` | 병합할 첫 번째 모델입니다. 두 번째 모델의 패치가 적용되는 기본 모델 역할을 합니다. | `MODEL` | +| `모델2` | 패치를 추출하여 첫 번째 모델에 적용할 두 번째 모델입니다. 지정된 혼합 비율에 따라 적용됩니다. | `MODEL` | +| `input` | 모델의 입력 레이어에 대한 혼합 비율을 지정합니다. 두 번째 모델의 입력 레이어가 첫 번째 모델에 얼마나 병합될지를 결정합니다. | `FLOAT` | +| `middle` | 모델의 중간 레이어에 대한 혼합 비율을 정의합니다. 이 매개변수는 모델 중간 레이어의 통합 수준을 제어합니다. | `FLOAT` | +| `out` | 모델의 출력 레이어에 대한 혼합 비율을 결정합니다. 두 번째 모델의 출력 레이어 기여도를 조정하여 최종 출력에 영향을 줍니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 결과로 생성된 병합 모델입니다. 지정된 혼합 비율에 따라 패치가 적용된 두 입력 모델의 하이브리드입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeBlocks/ko.md) diff --git a/ko/built-in-nodes/ModelMergeCosmos14B.mdx b/ko/built-in-nodes/ModelMergeCosmos14B.mdx new file mode 100644 index 000000000..bd82cb053 --- /dev/null +++ b/ko/built-in-nodes/ModelMergeCosmos14B.mdx @@ -0,0 +1,68 @@ +--- +title: "ModelMergeCosmos14B - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeCosmos14B node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeCosmos14B" +icon: "circle" +mode: wide +--- +**ModelMergeCosmos14B** 노드는 Cosmos 14B 모델 아키텍처를 위해 특별히 설계된 블록 기반 방식을 사용하여 두 개의 AI 모델을 병합합니다. 각 모델 블록 및 임베딩 레이어에 대해 0.0에서 1.0 사이의 가중치 값을 조정하여 모델의 서로 다른 구성 요소를 혼합할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합할 첫 번째 모델 | MODEL | 예 | - | +| `모델2` | 병합할 두 번째 모델 | MODEL | 예 | - | +| `pos_embedder.` | 위치 임베더 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `extra_pos_embedder.` | 추가 위치 임베더 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `x_embedder.` | x 임베더 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `t_embedder.` | t 임베더 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `affline_norm.` | 아핀 정규화 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block0.` | 블록 0의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block1.` | 블록 1의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block2.` | 블록 2의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block3.` | 블록 3의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block4.` | 블록 4의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block5.` | 블록 5의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block6.` | 블록 6의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block7.` | 블록 7의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block8.` | 블록 8의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block9.` | 블록 9의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block10.` | 블록 10의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block11.` | 블록 11의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block12.` | 블록 12의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block13.` | 블록 13의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block14.` | 블록 14의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block15.` | 블록 15의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block16.` | 블록 16의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block17.` | 블록 17의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block18.` | 블록 18의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block19.` | 블록 19의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block20.` | 블록 20의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block21.` | 블록 21의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block22.` | 블록 22의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block23.` | 블록 23의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block24.` | 블록 24의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block25.` | 블록 25의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block26.` | 블록 26의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block27.` | 블록 27의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block28.` | 블록 28의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block29.` | 블록 29의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block30.` | 블록 30의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block31.` | 블록 31의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block32.` | 블록 32의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block33.` | 블록 33의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block34.` | 블록 34의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block35.` | 블록 35의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `final_layer.` | 최종 레이어의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 두 입력 모델의 특징을 결합한 병합된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos14B/ko.md) + +--- +**Source fingerprint (SHA-256):** `6fcb4fefe7738d0addef49d386c0d3d22cda4c68f0e49ad003d1df595cf0e9d9` diff --git a/ko/built-in-nodes/ModelMergeCosmos7B.mdx b/ko/built-in-nodes/ModelMergeCosmos7B.mdx new file mode 100644 index 000000000..70b2e017b --- /dev/null +++ b/ko/built-in-nodes/ModelMergeCosmos7B.mdx @@ -0,0 +1,60 @@ +--- +title: "ModelMergeCosmos7B - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeCosmos7B node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeCosmos7B" +icon: "circle" +mode: wide +--- +ModelMergeCosmos7B 노드는 두 개의 AI 모델을 특정 구성 요소의 가중치 혼합을 사용하여 병합합니다. 위치 임베딩, 트랜스포머 블록 및 최종 레이어에 대한 개별 가중치를 조정하여 모델의 서로 다른 부분이 결합되는 방식을 세밀하게 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합할 첫 번째 모델 | MODEL | 예 | - | +| `모델2` | 병합할 두 번째 모델 | MODEL | 예 | - | +| `pos_embedder.` | 위치 임베더 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `extra_pos_embedder.` | 추가 위치 임베더 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `x_embedder.` | x 임베더 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `t_embedder.` | t 임베더 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `affline_norm.` | 아핀 정규화 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block0.` | 트랜스포머 블록 0의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block1.` | 트랜스포머 블록 1의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block2.` | 트랜스포머 블록 2의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block3.` | 트랜스포머 블록 3의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block4.` | 트랜스포머 블록 4의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block5.` | 트랜스포머 블록 5의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block6.` | 트랜스포머 블록 6의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block7.` | 트랜스포머 블록 7의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block8.` | 트랜스포머 블록 8의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block9.` | 트랜스포머 블록 9의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block10.` | 트랜스포머 블록 10의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block11.` | 트랜스포머 블록 11의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block12.` | 트랜스포머 블록 12의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block13.` | 트랜스포머 블록 13의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block14.` | 트랜스포머 블록 14의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block15.` | 트랜스포머 블록 15의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block16.` | 트랜스포머 블록 16의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block17.` | 트랜스포머 블록 17의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block18.` | 트랜스포머 블록 18의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block19.` | 트랜스포머 블록 19의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block20.` | 트랜스포머 블록 20의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block21.` | 트랜스포머 블록 21의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block22.` | 트랜스포머 블록 22의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block23.` | 트랜스포머 블록 23의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block24.` | 트랜스포머 블록 24의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block25.` | 트랜스포머 블록 25의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block26.` | 트랜스포머 블록 26의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.block27.` | 트랜스포머 블록 27의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `final_layer.` | 최종 레이어 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 두 입력 모델의 특징을 결합한 병합된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos7B/ko.md) + +--- +**Source fingerprint (SHA-256):** `0721b047933179706c76f622efb5b7425aad530d302d8b33ec12dd68513dec0b` diff --git a/ko/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx b/ko/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx new file mode 100644 index 000000000..0f94bbc5e --- /dev/null +++ b/ko/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx @@ -0,0 +1,69 @@ +--- +title: "ModelMergeCosmosPredict2_14B - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeCosmosPredict2_14B node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeCosmosPredict2_14B" +icon: "circle" +mode: wide +--- +ModelMergeCosmosPredict2_14B 노드는 두 개의 AI 모델의 내부 구성 요소를 혼합하여 병합합니다. 이 노드는 특정 레이어와 구성 요소에 대해 조정 가능한 가중치 값을 사용하여 두 번째 모델의 각 부분이 최종 병합 결과에 미치는 영향을 정밀하게 제어할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합할 기본 모델입니다. | MODEL | 예 | - | +| `모델2` | 기본 모델에 병합할 보조 모델입니다. | MODEL | 예 | - | +| `pos_embedder.` | 위치 임베더 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `x_embedder.` | 입력 임베더 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `t_embedder.` | 시간 임베더 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `t_embedding_norm.` | 시간 임베딩 정규화 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.0.` | 블록 0 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.1.` | 블록 1 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.2.` | 블록 2 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.3.` | 블록 3 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.4.` | 블록 4 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.5.` | 블록 5 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.6.` | 블록 6 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.7.` | 블록 7 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.8.` | 블록 8 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.9.` | 블록 9 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.10.` | 블록 10 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.11.` | 블록 11 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.12.` | 블록 12 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.13.` | 블록 13 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.14.` | 블록 14 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.15.` | 블록 15 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.16.` | 블록 16 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.17.` | 블록 17 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.18.` | 블록 18 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.19.` | 블록 19 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.20.` | 블록 20 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.21.` | 블록 21 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.22.` | 블록 22 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.23.` | 블록 23 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.24.` | 블록 24 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.25.` | 블록 25 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.26.` | 블록 26 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.27.` | 블록 27 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.28.` | 블록 28 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.29.` | 블록 29 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.30.` | 블록 30 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.31.` | 블록 31 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.32.` | 블록 32 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.33.` | 블록 33 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.34.` | 블록 34 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.35.` | 블록 35 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | +| `final_layer.` | 최종 레이어 혼합 가중치입니다 (기본값: 1.0). | FLOAT | 예 | 0.0 - 1.0 | + +**참고:** 모든 혼합 가중치 매개변수는 0.0에서 1.0 사이의 값을 허용합니다. 여기서 0.0은 해당 특정 구성 요소에 대해 model2의 기여도가 없음을 의미하고, 1.0은 model2의 완전한 기여도를 의미합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 두 입력 모델의 특징을 결합한 병합된 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_14B/ko.md) + +--- +**Source fingerprint (SHA-256):** `5e72608391bc47c2610c93fda19e6e12a1695f95f6135a08efe97e3d400acf84` diff --git a/ko/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx b/ko/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx new file mode 100644 index 000000000..2df5d3b50 --- /dev/null +++ b/ko/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx @@ -0,0 +1,59 @@ +--- +title: "ModelMergeCosmosPredict2_2B - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeCosmosPredict2_2B node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeCosmosPredict2_2B" +icon: "circle" +mode: wide +--- +ModelMergeCosmosPredict2_2B 노드는 블록 기반 접근 방식을 사용하여 두 개의 확산 모델을 병합하며, 다양한 모델 구성 요소에 대해 세밀한 제어를 제공합니다. 위치 임베더, 시간 임베더, 트랜스포머 블록 및 최종 레이어에 대한 보간 가중치를 조정하여 두 모델의 특정 부분을 혼합할 수 있습니다. 이를 통해 각 모델의 서로 다른 아키텍처 구성 요소가 최종 병합 결과에 기여하는 방식을 정밀하게 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합할 첫 번째 모델 | MODEL | 예 | - | +| `모델2` | 병합할 두 번째 모델 | MODEL | 예 | - | +| `pos_embedder.` | 위치 임베더 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `x_embedder.` | 입력 임베더 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `t_embedder.` | 시간 임베더 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `t_embedding_norm.` | 시간 임베딩 정규화 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.0.` | 트랜스포머 블록 0 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.1.` | 트랜스포머 블록 1 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.2.` | 트랜스포머 블록 2 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.3.` | 트랜스포머 블록 3 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.4.` | 트랜스포머 블록 4 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.5.` | 트랜스포머 블록 5 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.6.` | 트랜스포머 블록 6 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.7.` | 트랜스포머 블록 7 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.8.` | 트랜스포머 블록 8 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.9.` | 트랜스포머 블록 9 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.10.` | 트랜스포머 블록 10 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.11.` | 트랜스포머 블록 11 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.12.` | 트랜스포머 블록 12 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.13.` | 트랜스포머 블록 13 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.14.` | 트랜스포머 블록 14 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.15.` | 트랜스포머 블록 15 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.16.` | 트랜스포머 블록 16 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.17.` | 트랜스포머 블록 17 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.18.` | 트랜스포머 블록 18 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.19.` | 트랜스포머 블록 19 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.20.` | 트랜스포머 블록 20 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.21.` | 트랜스포머 블록 21 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.22.` | 트랜스포머 블록 22 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.23.` | 트랜스포머 블록 23 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.24.` | 트랜스포머 블록 24 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.25.` | 트랜스포머 블록 25 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.26.` | 트랜스포머 블록 26 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.27.` | 트랜스포머 블록 27 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `final_layer.` | 최종 레이어 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 두 입력 모델의 특징을 결합한 병합된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_2B/ko.md) + +--- +**Source fingerprint (SHA-256):** `53a8de66d6b731f5b29af326832f66cc973284bc8fdf09d779575f2346cc75a7` diff --git a/ko/built-in-nodes/ModelMergeFlux1.mdx b/ko/built-in-nodes/ModelMergeFlux1.mdx new file mode 100644 index 000000000..958ccdf55 --- /dev/null +++ b/ko/built-in-nodes/ModelMergeFlux1.mdx @@ -0,0 +1,89 @@ +--- +title: "ModelMergeFlux1 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeFlux1 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeFlux1" +icon: "circle" +mode: wide +--- +ModelMergeFlux1 노드는 가중치 보간법을 사용하여 두 확산 모델의 구성 요소를 혼합하여 병합합니다. 이미지 처리 블록, 시간 임베딩 레이어, 안내 메커니즘, 벡터 입력, 텍스트 인코더 및 다양한 트랜스포머 블록을 포함하여 모델의 서로 다른 부분이 결합되는 방식을 세밀하게 제어할 수 있습니다. 이를 통해 두 소스 모델의 특성을 사용자 지정하여 하이브리드 모델을 생성할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합할 첫 번째 소스 모델 | MODEL | 예 | - | +| `모델2` | 병합할 두 번째 소스 모델 | MODEL | 예 | - | +| `img_in.` | 이미지 입력 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `time_in.` | 시간 임베딩 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `guidance_in` | 안내 메커니즘 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `vector_in.` | 벡터 입력 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `txt_in.` | 텍스트 인코더 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.0.` | 이중 블록 0 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.1.` | 이중 블록 1 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.2.` | 이중 블록 2 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.3.` | 이중 블록 3 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.4.` | 이중 블록 4 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.5.` | 이중 블록 5 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.6.` | 이중 블록 6 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.7.` | 이중 블록 7 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.8.` | 이중 블록 8 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.9.` | 이중 블록 9 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.10.` | 이중 블록 10 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.11.` | 이중 블록 11 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.12.` | 이중 블록 12 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.13.` | 이중 블록 13 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.14.` | 이중 블록 14 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.15.` | 이중 블록 15 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.16.` | 이중 블록 16 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.17.` | 이중 블록 17 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `double_blocks.18.` | 이중 블록 18 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.0.` | 단일 블록 0 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.1.` | 단일 블록 1 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.2.` | 단일 블록 2 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.3.` | 단일 블록 3 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.4.` | 단일 블록 4 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.5.` | 단일 블록 5 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.6.` | 단일 블록 6 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.7.` | 단일 블록 7 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.8.` | 단일 블록 8 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.9.` | 단일 블록 9 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.10.` | 단일 블록 10 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.11.` | 단일 블록 11 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.12.` | 단일 블록 12 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.13.` | 단일 블록 13 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.14.` | 단일 블록 14 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.15.` | 단일 블록 15 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.16.` | 단일 블록 16 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.17.` | 단일 블록 17 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.18.` | 단일 블록 18 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.19.` | 단일 블록 19 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.20.` | 단일 블록 20 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.21.` | 단일 블록 21 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.22.` | 단일 블록 22 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.23.` | 단일 블록 23 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.24.` | 단일 블록 24 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.25.` | 단일 블록 25 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.26.` | 단일 블록 26 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.27.` | 단일 블록 27 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.28.` | 단일 블록 28 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.29.` | 단일 블록 29 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.30.` | 단일 블록 30 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.31.` | 단일 블록 31 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.32.` | 단일 블록 32 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.33.` | 단일 블록 33 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.34.` | 단일 블록 34 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.35.` | 단일 블록 35 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.36.` | 단일 블록 36 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `single_blocks.37.` | 단일 블록 37 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `final_layer.` | 최종 레이어 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 두 입력 모델의 특성을 결합한 병합된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeFlux1/ko.md) + +--- +**Source fingerprint (SHA-256):** `a632133b5d4bc7c5a4e1be5f6f779e424a491fffb8ef7702346adc4acf6f23bc` diff --git a/ko/built-in-nodes/ModelMergeLTXV.mdx b/ko/built-in-nodes/ModelMergeLTXV.mdx new file mode 100644 index 000000000..7d72195e8 --- /dev/null +++ b/ko/built-in-nodes/ModelMergeLTXV.mdx @@ -0,0 +1,59 @@ +--- +title: "ModelMergeLTXV - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeLTXV node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeLTXV" +icon: "circle" +mode: wide +--- +ModelMergeLTXV 노드는 LTXV 모델 아키텍처를 위해 특별히 설계된 고급 모델 병합 작업을 수행합니다. 트랜스포머 블록, 프로젝션 레이어 및 기타 특수 모듈을 포함한 다양한 모델 구성 요소에 대한 보간 가중치를 조정하여 두 개의 서로 다른 모델을 혼합할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합할 첫 번째 모델 | MODEL | 예 | - | +| `모델2` | 병합할 두 번째 모델 | MODEL | 예 | - | +| `patchify_proj.` | 패치화 프로젝션 레이어의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `adaln_single.` | 적응형 레이어 정규화 단일 레이어의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `caption_projection.` | 캡션 프로젝션 레이어의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.0.` | 트랜스포머 블록 0의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.1.` | 트랜스포머 블록 1의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.2.` | 트랜스포머 블록 2의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.3.` | 트랜스포머 블록 3의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.4.` | 트랜스포머 블록 4의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.5.` | 트랜스포머 블록 5의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.6.` | 트랜스포머 블록 6의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.7.` | 트랜스포머 블록 7의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.8.` | 트랜스포머 블록 8의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.9.` | 트랜스포머 블록 9의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.10.` | 트랜스포머 블록 10의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.11.` | 트랜스포머 블록 11의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.12.` | 트랜스포머 블록 12의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.13.` | 트랜스포머 블록 13의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.14.` | 트랜스포머 블록 14의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.15.` | 트랜스포머 블록 15의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.16.` | 트랜스포머 블록 16의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.17.` | 트랜스포머 블록 17의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.18.` | 트랜스포머 블록 18의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.19.` | 트랜스포머 블록 19의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.20.` | 트랜스포머 블록 20의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.21.` | 트랜스포머 블록 21의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.22.` | 트랜스포머 블록 22의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.23.` | 트랜스포머 블록 23의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.24.` | 트랜스포머 블록 24의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.25.` | 트랜스포머 블록 25의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.26.` | 트랜스포머 블록 26의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `transformer_blocks.27.` | 트랜스포머 블록 27의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `scale_shift_table` | 스케일 시프트 테이블의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `proj_out.` | 프로젝션 출력 레이어의 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 지정된 보간 가중치에 따라 두 입력 모델의 특징을 결합한 병합된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeLTXV/ko.md) + +--- +**Source fingerprint (SHA-256):** `29ef8750b6e88f71abca10c8aaad5d75c9c32afec057af78842ca82441438922` diff --git a/ko/built-in-nodes/ModelMergeMochiPreview.mdx b/ko/built-in-nodes/ModelMergeMochiPreview.mdx new file mode 100644 index 000000000..3345f3ec5 --- /dev/null +++ b/ko/built-in-nodes/ModelMergeMochiPreview.mdx @@ -0,0 +1,79 @@ +--- +title: "ModelMergeMochiPreview - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeMochiPreview node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeMochiPreview" +icon: "circle" +mode: wide +--- +이 노드는 블록 기반 접근 방식을 사용하여 두 AI 모델을 병합하며, 다양한 모델 구성 요소에 대해 세밀하게 제어할 수 있습니다. 위치 주파수, 임베딩 레이어 및 개별 트랜스포머 블록을 포함한 특정 섹션에 대한 보간 가중치를 조정하여 모델을 혼합할 수 있습니다. 병합 프로세스는 지정된 가중치 값에 따라 두 입력 모델의 아키텍처와 매개변수를 결합합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합할 첫 번째 모델 | MODEL | 예 | - | +| `모델2` | 병합할 두 번째 모델 | MODEL | 예 | - | +| `pos_frequencies.` | 위치 주파수 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `t_embedder.` | 시간 임베더 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `t5_y_embedder.` | T5-Y 임베더 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `t5_yproj.` | T5-Y 프로젝션 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.0.` | 블록 0 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.1.` | 블록 1 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.2.` | 블록 2 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.3.` | 블록 3 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.4.` | 블록 4 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.5.` | 블록 5 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.6.` | 블록 6 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.7.` | 블록 7 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.8.` | 블록 8 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.9.` | 블록 9 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.10.` | 블록 10 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.11.` | 블록 11 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.12.` | 블록 12 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.13.` | 블록 13 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.14.` | 블록 14 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.15.` | 블록 15 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.16.` | 블록 16 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.17.` | 블록 17 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.18.` | 블록 18 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.19.` | 블록 19 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.20.` | 블록 20 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.21.` | 블록 21 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.22.` | 블록 22 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.23.` | 블록 23 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.24.` | 블록 24 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.25.` | 블록 25 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.26.` | 블록 26 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.27.` | 블록 27 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.28.` | 블록 28 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.29.` | 블록 29 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.30.` | 블록 30 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.31.` | 블록 31 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.32.` | 블록 32 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.33.` | 블록 33 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.34.` | 블록 34 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.35.` | 블록 35 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.36.` | 블록 36 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.37.` | 블록 37 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.38.` | 블록 38 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.39.` | 블록 39 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.40.` | 블록 40 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.41.` | 블록 41 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.42.` | 블록 42 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.43.` | 블록 43 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.44.` | 블록 44 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.45.` | 블록 45 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.46.` | 블록 46 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.47.` | 블록 47 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `final_layer.` | 최종 레이어 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 지정된 가중치에 따라 두 입력 모델의 특징을 결합한 병합된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeMochiPreview/ko.md) + +--- +**Source fingerprint (SHA-256):** `aebf536f3f89ca8c81141ac871b1b612082c3bd38a29984168b05eccf0cb57e3` diff --git a/ko/built-in-nodes/ModelMergeQwenImage.mdx b/ko/built-in-nodes/ModelMergeQwenImage.mdx new file mode 100644 index 000000000..6f0fbda53 --- /dev/null +++ b/ko/built-in-nodes/ModelMergeQwenImage.mdx @@ -0,0 +1,33 @@ +--- +title: "ModelMergeQwenImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeQwenImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeQwenImage" +icon: "circle" +mode: wide +--- +ModelMergeQwenImage 노드는 두 개의 AI 모델의 구성 요소를 가중치 조절 가능하게 결합하여 병합합니다. 트랜스포머 블록, 위치 임베딩, 텍스트 처리 구성 요소 등 Qwen 이미지 모델의 특정 부분을 혼합할 수 있습니다. 각 모델이 병합 결과의 서로 다른 부분에 미치는 영향력을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합할 첫 번째 모델 (기본값: 없음) | MODEL | 예 | - | +| `모델2` | 병합할 두 번째 모델 (기본값: 없음) | MODEL | 예 | - | +| `pos_embeds.` | 위치 임베딩 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `img_in.` | 이미지 입력 처리 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `txt_norm.` | 텍스트 정규화 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `txt_in.` | 텍스트 입력 처리 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `time_text_embed.` | 시간 및 텍스트 임베딩 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `transformer_blocks.0.` ~ `transformer_blocks.59.` | 각 트랜스포머 블록 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `proj_out.` | 출력 투영 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 지정된 가중치로 두 입력 모델의 구성 요소를 결합한 병합 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeQwenImage/ko.md) + +--- +**Source fingerprint (SHA-256):** `a0424a3f4d4ffe170471ba463350d741f67ff1b1f5a8a016ad844c111033f97c` diff --git a/ko/built-in-nodes/ModelMergeSD1.mdx b/ko/built-in-nodes/ModelMergeSD1.mdx new file mode 100644 index 000000000..7e3272b0e --- /dev/null +++ b/ko/built-in-nodes/ModelMergeSD1.mdx @@ -0,0 +1,56 @@ +--- +title: "ModelMergeSD1 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeSD1 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeSD1" +icon: "circle" +mode: wide +--- +ModelMergeSD1 노드는 두 개의 Stable Diffusion 1.x 모델을 혼합하여 서로 다른 모델 구성 요소의 영향을 조정할 수 있게 해줍니다. 시간 임베딩, 레이블 임베딩, 그리고 모든 입력, 중간, 출력 블록에 대한 개별 제어 기능을 제공하여 특정 사용 사례에 맞게 세밀하게 조정된 모델 병합을 가능하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합할 첫 번째 모델 | MODEL | 예 | - | +| `모델2` | 병합할 두 번째 모델 | MODEL | 예 | - | +| `time_embed.` | 시간 임베딩 레이어 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `label_emb.` | 레이블 임베딩 레이어 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.0.` | 입력 블록 0 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.1.` | 입력 블록 1 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.2.` | 입력 블록 2 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.3.` | 입력 블록 3 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.4.` | 입력 블록 4 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.5.` | 입력 블록 5 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.6.` | 입력 블록 6 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.7.` | 입력 블록 7 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.8.` | 입력 블록 8 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.9.` | 입력 블록 9 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.10.` | 입력 블록 10 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.11.` | 입력 블록 11 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `middle_block.0.` | 중간 블록 0 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `middle_block.1.` | 중간 블록 1 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `middle_block.2.` | 중간 블록 2 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.0.` | 출력 블록 0 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.1.` | 출력 블록 1 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.2.` | 출력 블록 2 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.3.` | 출력 블록 3 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.4.` | 출력 블록 4 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.5.` | 출력 블록 5 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.6.` | 출력 블록 6 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.7.` | 출력 블록 7 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.8.` | 출력 블록 8 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.9.` | 출력 블록 9 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.10.` | 출력 블록 10 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.11.` | 출력 블록 11 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `out.` | 출력 레이어 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MODEL` | 두 입력 모델의 특징을 결합한 병합된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD1/ko.md) + +--- +**Source fingerprint (SHA-256):** `512c62fb5a4e1b7f90f5ad5b80de5818659a20c8f4b024cfa33ca13b823efad8` diff --git a/ko/built-in-nodes/ModelMergeSD35_Large.mdx b/ko/built-in-nodes/ModelMergeSD35_Large.mdx new file mode 100644 index 000000000..b6c1d2c09 --- /dev/null +++ b/ko/built-in-nodes/ModelMergeSD35_Large.mdx @@ -0,0 +1,72 @@ +--- +title: "ModelMergeSD35_Large - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeSD35_Large node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeSD35_Large" +icon: "circle" +mode: wide +--- +ModelMergeSD35_Large 노드는 두 개의 Stable Diffusion 3.5 Large 모델을 혼합하여 서로 다른 모델 구성 요소의 영향을 조정할 수 있게 해줍니다. 임베딩 레이어부터 조인트 블록 및 최종 레이어에 이르기까지 두 번째 모델의 각 부분이 최종 병합 모델에 기여하는 정도를 정밀하게 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합의 기반이 되는 기본 모델입니다 | MODEL | 예 | - | +| `모델2` | 구성 요소가 기본 모델에 혼합되는 보조 모델입니다 | MODEL | 예 | - | +| `pos_embed.` | model2의 위치 임베딩이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `x_embedder.` | model2의 x 임베더가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `context_embedder.` | model2의 컨텍스트 임베더가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `y_embedder.` | model2의 y 임베더가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `t_embedder.` | model2의 t 임베더가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.0.` | model2의 조인트 블록 0이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.1.` | model2의 조인트 블록 1이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.2.` | model2의 조인트 블록 2가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.3.` | model2의 조인트 블록 3이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.4.` | model2의 조인트 블록 4가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.5.` | model2의 조인트 블록 5가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.6.` | model2의 조인트 블록 6이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.7.` | model2의 조인트 블록 7이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.8.` | model2의 조인트 블록 8이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.9.` | model2의 조인트 블록 9가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.10.` | model2의 조인트 블록 10이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.11.` | model2의 조인트 블록 11이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.12.` | model2의 조인트 블록 12가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.13.` | model2의 조인트 블록 13이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.14.` | model2의 조인트 블록 14가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.15.` | model2의 조인트 블록 15가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.16.` | model2의 조인트 블록 16이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.17.` | model2의 조인트 블록 17이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.18.` | model2의 조인트 블록 18이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.19.` | model2의 조인트 블록 19가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.20.` | model2의 조인트 블록 20이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.21.` | model2의 조인트 블록 21이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.22.` | model2의 조인트 블록 22가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.23.` | model2의 조인트 블록 23이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.24.` | model2의 조인트 블록 24가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.25.` | model2의 조인트 블록 25가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.26.` | model2의 조인트 블록 26이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.27.` | model2의 조인트 블록 27이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.28.` | model2의 조인트 블록 28이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.29.` | model2의 조인트 블록 29가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.30.` | model2의 조인트 블록 30이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.31.` | model2의 조인트 블록 31이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.32.` | model2의 조인트 블록 32가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.33.` | model2의 조인트 블록 33이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.34.` | model2의 조인트 블록 34가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.35.` | model2의 조인트 블록 35가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.36.` | model2의 조인트 블록 36이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `joint_blocks.37.` | model2의 조인트 블록 37이 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `final_layer.` | model2의 최종 레이어가 병합 모델에 혼합되는 정도를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | + +**참고:** 모든 혼합 매개변수는 0.0에서 1.0 사이의 값을 허용합니다. 여기서 0.0은 해당 구성 요소에 대해 model2의 기여도가 없음을 의미하고, 1.0은 model2의 완전한 기여도를 의미합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 지정된 혼합 매개변수에 따라 두 입력 모델의 특징을 결합한 결과 병합 모델입니다 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD35_Large/ko.md) + +--- +**Source fingerprint (SHA-256):** `1b491bd96cc40c6098fd8194f66753bc0f7aa485ea5f97b67b4d864cc9615c9a` diff --git a/ko/built-in-nodes/ModelMergeSD3_2B.mdx b/ko/built-in-nodes/ModelMergeSD3_2B.mdx new file mode 100644 index 000000000..2cfbfc73e --- /dev/null +++ b/ko/built-in-nodes/ModelMergeSD3_2B.mdx @@ -0,0 +1,56 @@ +--- +title: "ModelMergeSD3_2B - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeSD3_2B node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeSD3_2B" +icon: "circle" +mode: wide +--- +ModelMergeSD3_2B 노드는 두 개의 Stable Diffusion 3 2B 모델을 구성 요소별로 가중치를 조정하여 병합할 수 있게 해줍니다. 임베딩 레이어와 트랜스포머 블록을 개별적으로 제어할 수 있어, 특수화된 생성 작업을 위한 세밀하게 조정된 모델 조합이 가능합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합할 첫 번째 모델 | MODEL | 예 | - | +| `모델2` | 병합할 두 번째 모델 | MODEL | 예 | - | +| `pos_embed.` | 위치 임베딩 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `x_embedder.` | 입력 임베딩 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `context_embedder.` | 컨텍스트 임베딩 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `y_embedder.` | Y 임베딩 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `t_embedder.` | 시간 임베딩 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.0.` | 결합 블록 0 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.1.` | 결합 블록 1 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.2.` | 결합 블록 2 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.3.` | 결합 블록 3 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.4.` | 결합 블록 4 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.5.` | 결합 블록 5 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.6.` | 결합 블록 6 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.7.` | 결합 블록 7 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.8.` | 결합 블록 8 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.9.` | 결합 블록 9 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.10.` | 결합 블록 10 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.11.` | 결합 블록 11 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.12.` | 결합 블록 12 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.13.` | 결합 블록 13 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.14.` | 결합 블록 14 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.15.` | 결합 블록 15 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.16.` | 결합 블록 16 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.17.` | 결합 블록 17 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.18.` | 결합 블록 18 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.19.` | 결합 블록 19 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.20.` | 결합 블록 20 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.21.` | 결합 블록 21 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.22.` | 결합 블록 22 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `joint_blocks.23.` | 결합 블록 23 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `final_layer.` | 최종 레이어 보간 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 두 입력 모델의 특징을 결합한 병합된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD3_2B/ko.md) + +--- +**Source fingerprint (SHA-256):** `5b0c28c66e1828742873191be424956a9006e59ea1167a5941069ba0b7bc390b` diff --git a/ko/built-in-nodes/ModelMergeSDXL.mdx b/ko/built-in-nodes/ModelMergeSDXL.mdx new file mode 100644 index 000000000..2e25bc80c --- /dev/null +++ b/ko/built-in-nodes/ModelMergeSDXL.mdx @@ -0,0 +1,50 @@ +--- +title: "ModelMergeSDXL - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeSDXL node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeSDXL" +icon: "circle" +mode: wide +--- +ModelMergeSDXL 노드는 두 개의 SDXL 모델을 혼합하여 아키텍처의 각 부분에 대한 각 모델의 영향을 조정할 수 있도록 합니다. 시간 임베딩, 레이블 임베딩 및 모델 구조 내의 다양한 블록에 대해 각 모델이 기여하는 정도를 제어할 수 있습니다. 이를 통해 두 입력 모델의 특성을 결합한 하이브리드 모델이 생성됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합할 첫 번째 SDXL 모델 | MODEL | 예 | - | +| `모델2` | 병합할 두 번째 SDXL 모델 | MODEL | 예 | - | +| `time_embed.` | 시간 임베딩 레이어에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `label_emb.` | 레이블 임베딩 레이어에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.0` | 입력 블록 0에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.1` | 입력 블록 1에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.2` | 입력 블록 2에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.3` | 입력 블록 3에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.4` | 입력 블록 4에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.5` | 입력 블록 5에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.6` | 입력 블록 6에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.7` | 입력 블록 7에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `input_blocks.8` | 입력 블록 8에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `middle_block.0` | 중간 블록 0에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `middle_block.1` | 중간 블록 1에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `middle_block.2` | 중간 블록 2에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.0` | 출력 블록 0에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.1` | 출력 블록 1에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.2` | 출력 블록 2에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.3` | 출력 블록 3에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.4` | 출력 블록 4에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.5` | 출력 블록 5에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.6` | 출력 블록 6에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.7` | 출력 블록 7에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `output_blocks.8` | 출력 블록 8에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `out.` | 출력 레이어에 대한 혼합 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 두 입력 모델의 특성을 결합한 병합된 SDXL 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSDXL/ko.md) + +--- +**Source fingerprint (SHA-256):** `6c7572a6ed50534f2d9ad6f499146763457da58f0c9dd4b85204e67f7d3e9660` diff --git a/ko/built-in-nodes/ModelMergeSimple.mdx b/ko/built-in-nodes/ModelMergeSimple.mdx new file mode 100644 index 000000000..90922ec97 --- /dev/null +++ b/ko/built-in-nodes/ModelMergeSimple.mdx @@ -0,0 +1,28 @@ +--- +title: "ModelMergeSimple - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeSimple node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeSimple" +icon: "circle" +mode: wide +--- +## 개요 + +ModelMergeSimple 노드는 지정된 비율에 따라 두 모델의 매개변수를 혼합하여 병합하도록 설계되었습니다. 이 노드는 두 입력 모델의 강점이나 특성을 결합한 하이브리드 모델을 생성할 수 있게 해줍니다. + +`ratio` 매개변수는 두 모델 간의 혼합 비율을 결정합니다. 이 값이 1이면 출력 모델은 100% `model1`이 되고, 이 값이 0이면 출력 모델은 100% `model2`가 됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델1` | 병합할 첫 번째 모델입니다. 두 번째 모델의 패치가 적용되는 기본 모델 역할을 합니다. | `MODEL` | +| `모델2` | 지정된 비율의 영향을 받아 첫 번째 모델에 패치가 적용되는 두 번째 모델입니다. | `MODEL` | +| `비율` | 이 값이 1이면 출력 모델은 100% `모델1`이 되고, 이 값이 0이면 출력 모델은 100% `모델2`가 됩니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 지정된 비율에 따라 두 입력 모델의 요소를 통합한 결과 병합된 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSimple/ko.md) diff --git a/ko/built-in-nodes/ModelMergeSubtract.mdx b/ko/built-in-nodes/ModelMergeSubtract.mdx new file mode 100644 index 000000000..16e86c7a8 --- /dev/null +++ b/ko/built-in-nodes/ModelMergeSubtract.mdx @@ -0,0 +1,24 @@ +--- +title: "ModelMergeSubtract - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeSubtract node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeSubtract" +icon: "circle" +mode: wide +--- +이 노드는 고급 모델 병합 작업을 위해 설계되었으며, 특히 지정된 승수에 따라 한 모델의 매개변수를 다른 모델에서 차감합니다. 이를 통해 한 모델의 매개변수가 다른 모델에 미치는 영향을 조정하여 모델 동작을 사용자 정의하고 새로운 하이브리드 모델을 생성할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `모델1` | 매개변수가 차감될 기본 모델입니다. | `MODEL` | +| `모델2` | 기본 모델에서 차감될 매개변수를 가진 모델입니다. | `MODEL` | +| `배율` | 기본 모델의 매개변수에 대한 차감 효과를 조정하는 부동 소수점 값입니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `model` | 승수로 조정된 한 모델의 매개변수를 다른 모델에서 차감한 후 생성된 결과 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSubtract/ko.md) diff --git a/ko/built-in-nodes/ModelMergeWAN2_1.mdx b/ko/built-in-nodes/ModelMergeWAN2_1.mdx new file mode 100644 index 000000000..b124e3b2e --- /dev/null +++ b/ko/built-in-nodes/ModelMergeWAN2_1.mdx @@ -0,0 +1,74 @@ +--- +title: "ModelMergeWAN2_1 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeWAN2_1 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelMergeWAN2_1" +icon: "circle" +mode: wide +--- +ModelMergeWAN2_1 노드는 두 개의 WAN2.1 모델을 가중 평균을 사용하여 구성 요소를 혼합함으로써 병합합니다. 이 노드는 30개의 블록을 가진 1.3B 모델과 40개의 블록을 가진 14B 모델을 포함한 다양한 모델 크기를 지원하며, 추가 이미지 임베딩 구성 요소가 포함된 이미지-투-비디오 모델을 특별히 처리합니다. 각 모델 구성 요소는 개별적으로 가중치를 부여하여 두 입력 모델 간의 혼합 비율을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델1` | 병합할 첫 번째 모델 | MODEL | 예 | - | +| `모델2` | 병합할 두 번째 모델 | MODEL | 예 | - | +| `patch_embedding.` | 패치 임베딩 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `time_embedding.` | 시간 임베딩 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `time_projection.` | 시간 투영 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `text_embedding.` | 텍스트 임베딩 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `img_emb.` | 이미지 임베딩 구성 요소의 가중치, 이미지-투-비디오 모델에 사용됨 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.0.` | 블록 0의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.1.` | 블록 1의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.2.` | 블록 2의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.3.` | 블록 3의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.4.` | 블록 4의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.5.` | 블록 5의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.6.` | 블록 6의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.7.` | 블록 7의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.8.` | 블록 8의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.9.` | 블록 9의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.10.` | 블록 10의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.11.` | 블록 11의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.12.` | 블록 12의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.13.` | 블록 13의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.14.` | 블록 14의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.15.` | 블록 15의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.16.` | 블록 16의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.17.` | 블록 17의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.18.` | 블록 18의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.19.` | 블록 19의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.20.` | 블록 20의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.21.` | 블록 21의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.22.` | 블록 22의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.23.` | 블록 23의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.24.` | 블록 24의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.25.` | 블록 25의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.26.` | 블록 26의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.27.` | 블록 27의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.28.` | 블록 28의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.29.` | 블록 29의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.30.` | 블록 30의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.31.` | 블록 31의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.32.` | 블록 32의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.33.` | 블록 33의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.34.` | 블록 34의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.35.` | 블록 35의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.36.` | 블록 36의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.37.` | 블록 37의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.38.` | 블록 38의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `blocks.39.` | 블록 39의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `head.` | 헤드 구성 요소의 가중치 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +**참고:** 모든 가중치 매개변수는 0.0에서 1.0 사이의 범위를 가지며 0.01 단위로 증가합니다. 이 노드는 다양한 모델 크기를 지원하기 위해 최대 40개의 블록을 제공하며, 1.3B 모델은 30개의 블록을, 14B 모델은 40개의 블록을 사용합니다. `img_emb.` 매개변수는 이미지-투-비디오 모델 전용입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 지정된 가중치에 따라 두 입력 모델의 구성 요소를 결합한 병합된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeWAN2_1/ko.md) + +--- +**Source fingerprint (SHA-256):** `d550a2f62bbcb4b46ccdd8a04fab80e93f96ea63426d48acb3515d51175efc99` diff --git a/ko/built-in-nodes/ModelNoiseScale.mdx b/ko/built-in-nodes/ModelNoiseScale.mdx new file mode 100644 index 000000000..7c35d0ef3 --- /dev/null +++ b/ko/built-in-nodes/ModelNoiseScale.mdx @@ -0,0 +1,28 @@ +--- +title: "ModelNoiseScale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelNoiseScale node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelNoiseScale" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 모델 샘플링 중 사용되는 노이즈 스케일을 조정합니다. 특정 노이즈 스케일 값을 설정하여 모델의 샘플링 과정에 적용되는 노이즈 양을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 노이즈 스케일 조정을 적용할 모델입니다. | MODEL | 예 | - | +| `noise_scale` | 절대 훈련 노이즈 스케일입니다. 예를 들어 HiDream-O1 기본: 8.0, 개발: 7.5입니다. (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 64.0 (단위: 0.01) | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MODEL` | 새 노이즈 스케일이 적용된 수정된 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/ko.md) + +--- +**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190` diff --git a/ko/built-in-nodes/ModelPatchLoader.mdx b/ko/built-in-nodes/ModelPatchLoader.mdx new file mode 100644 index 000000000..ade4ed1c6 --- /dev/null +++ b/ko/built-in-nodes/ModelPatchLoader.mdx @@ -0,0 +1,25 @@ +--- +title: "ModelPatchLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelPatchLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelPatchLoader" +icon: "circle" +mode: wide +--- +ModelPatchLoader 노드는 model_patches 폴더에서 특화된 모델 패치를 로드합니다. 패치 파일의 유형을 자동으로 감지하여 적절한 모델 아키텍처를 로드한 후, 워크플로에서 사용할 수 있도록 ModelPatcher로 래핑합니다. 이 노드는 controlnet 블록, 특징 임베더 모델 및 기타 특수 아키텍처를 포함한 다양한 패치 유형을 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이름` | model_patches 디렉터리에서 로드할 모델 패치의 파일 이름입니다. | STRING | 예 | model_patches 폴더의 모든 사용 가능한 모델 패치 파일 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `MODEL_PATCH` | 워크플로에서 사용할 수 있도록 ModelPatcher로 래핑된 로드된 모델 패치입니다. | MODEL_PATCH | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelPatchLoader/ko.md) + +--- +**Source fingerprint (SHA-256):** `e394e165cf416019ed53d9fde42d97c3c9b9f9afd843b12371a624467a4841bf` diff --git a/ko/built-in-nodes/ModelSamplingAuraFlow.mdx b/ko/built-in-nodes/ModelSamplingAuraFlow.mdx new file mode 100644 index 000000000..f7c50e75e --- /dev/null +++ b/ko/built-in-nodes/ModelSamplingAuraFlow.mdx @@ -0,0 +1,26 @@ +--- +title: "ModelSamplingAuraFlow - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingAuraFlow node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelSamplingAuraFlow" +icon: "circle" +mode: wide +--- +ModelSamplingAuraFlow 노드는 확산 모델에 특화된 샘플링 구성을 적용하며, 특히 AuraFlow 모델 아키텍처를 위해 설계되었습니다. 이 노드는 샘플링 분포를 조정하는 시프트 매개변수를 적용하여 모델의 샘플링 동작을 수정합니다. SD3 모델 샘플링 프레임워크를 상속받으며, 샘플링 과정을 세밀하게 제어할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | AuraFlow 샘플링 구성을 적용할 확산 모델 | MODEL | 예 | - | +| `시프트` | 샘플링 분포에 적용할 시프트 값 (기본값: 1.73) | FLOAT | 예 | 0.0 - 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | AuraFlow 샘플링 구성이 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingAuraFlow/ko.md) + +--- +**Source fingerprint (SHA-256):** `f49367534032fb2d697d16e8197c16dc761678a5e39990993bdc864bfccea314` diff --git a/ko/built-in-nodes/ModelSamplingContinuousEDM.mdx b/ko/built-in-nodes/ModelSamplingContinuousEDM.mdx new file mode 100644 index 000000000..293c51957 --- /dev/null +++ b/ko/built-in-nodes/ModelSamplingContinuousEDM.mdx @@ -0,0 +1,25 @@ +--- +title: "ModelSamplingContinuousEDM - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingContinuousEDM node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelSamplingContinuousEDM" +icon: "circle" +mode: wide +--- +이 노드는 연속 EDM(에너지 기반 확산 모델) 샘플링 기법을 통합하여 모델의 샘플링 성능을 향상시키도록 설계되었습니다. 모델의 샘플링 과정에서 노이즈 수준을 동적으로 조정할 수 있게 하여, 생성 품질과 다양성을 보다 정밀하게 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | Python 데이터 타입 | +| --- | --- | --- | --- | +| `모델` | 연속 EDM 샘플링 기능으로 향상시킬 모델입니다. 고급 샘플링 기법을 적용하기 위한 기반 역할을 합니다. | `MODEL` | `torch.nn.Module` | +| `샘플링` | 적용할 샘플링 유형을 지정합니다. 'eps'는 엡실론 샘플링, 'v_prediction'은 속도 예측을 의미하며, 샘플링 과정에서 모델의 동작에 영향을 줍니다. | COMBO[STRING] | `str` | +| `최대 시그마` | 노이즈 수준의 최대 시그마 값으로, 샘플링 중 노이즈 주입 과정의 상한을 제어할 수 있습니다. | `FLOAT` | `float` | +| `최소 시그마` | 노이즈 수준의 최소 시그마 값으로, 노이즈 주입의 하한을 설정하여 모델의 샘플링 정밀도에 영향을 줍니다. | `FLOAT` | `float` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | Python 데이터 타입 | +| --- | --- | --- | --- | +| `모델` | 연속 EDM 샘플링 기능이 통합되어 향상된 모델로, 생성 작업에 바로 사용할 수 있습니다. | MODEL | `torch.nn.Module` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousEDM/ko.md) diff --git a/ko/built-in-nodes/ModelSamplingContinuousV.mdx b/ko/built-in-nodes/ModelSamplingContinuousV.mdx new file mode 100644 index 000000000..579e68624 --- /dev/null +++ b/ko/built-in-nodes/ModelSamplingContinuousV.mdx @@ -0,0 +1,28 @@ +--- +title: "ModelSamplingContinuousV - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingContinuousV node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelSamplingContinuousV" +icon: "circle" +mode: wide +--- +ModelSamplingContinuousV 노드는 연속적인 V-예측 샘플링 매개변수를 적용하여 모델의 샘플링 동작을 수정합니다. 입력 모델의 복제본을 생성하고 사용자 정의 시그마 범위 설정으로 구성하여 고급 샘플링 제어를 가능하게 합니다. 이를 통해 사용자는 특정 최소 및 최대 시그마 값으로 샘플링 프로세스를 세밀하게 조정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 연속적인 V-예측 샘플링으로 수정할 입력 모델 | MODEL | 예 | - | +| `샘플링` | 적용할 샘플링 방법 (현재는 V-예측만 지원) | STRING | 예 | `"v_prediction"` | +| `최대 시그마` | 샘플링을 위한 최대 시그마 값 (기본값: 500.0) | FLOAT | 예 | 0.0 - 1000.0 | +| `최소 시그마` | 샘플링을 위한 최소 시그마 값 (기본값: 0.03) | FLOAT | 예 | 0.0 - 1000.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 연속적인 V-예측 샘플링이 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousV/ko.md) + +--- +**Source fingerprint (SHA-256):** `8095b5024c0d33011f6a81ed496cf1711981701e0f35f9527646b150f5033d45` diff --git a/ko/built-in-nodes/ModelSamplingDiscrete.mdx b/ko/built-in-nodes/ModelSamplingDiscrete.mdx new file mode 100644 index 000000000..dc0b38429 --- /dev/null +++ b/ko/built-in-nodes/ModelSamplingDiscrete.mdx @@ -0,0 +1,24 @@ +--- +title: "ModelSamplingDiscrete - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingDiscrete node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelSamplingDiscrete" +icon: "circle" +mode: wide +--- +이 노드는 이산 샘플링 전략을 적용하여 모델의 샘플링 동작을 수정하도록 설계되었습니다. epsilon, v_prediction, lcm 또는 x0과 같은 다양한 샘플링 방법을 선택할 수 있으며, 선택적으로 제로샷 노이즈 비율(zsnr) 설정에 따라 모델의 노이즈 감소 전략을 조정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | Python dtype | +| --- | --- | --- | --- | +| `모델` | 이산 샘플링 전략이 적용될 모델입니다. 이 매개변수는 수정될 기본 모델을 정의하므로 매우 중요합니다. | MODEL | `torch.nn.Module` | +| `샘플링` | 모델에 적용할 이산 샘플링 방법을 지정합니다. 선택한 방법에 따라 모델이 샘플을 생성하는 방식이 달라지며, 다양한 샘플링 전략을 제공합니다. | COMBO[STRING] | `str` | +| `zsnr` | 활성화하면 제로샷 노이즈 비율에 따라 모델의 노이즈 감소 전략을 조정하는 부울 플래그입니다. 이는 생성된 샘플의 품질과 특성에 영향을 줄 수 있습니다. | `BOOLEAN` | `bool` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | Python dtype | +| --- | --- | --- | --- | +| `모델` | 지정된 이산 샘플링 전략이 적용된 수정된 모델입니다. 이제 이 모델은 지정된 방법과 조정 사항을 사용하여 샘플을 생성할 수 있습니다. | MODEL | `torch.nn.Module` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingDiscrete/ko.md) diff --git a/ko/built-in-nodes/ModelSamplingFlux.mdx b/ko/built-in-nodes/ModelSamplingFlux.mdx new file mode 100644 index 000000000..ea5c3ca83 --- /dev/null +++ b/ko/built-in-nodes/ModelSamplingFlux.mdx @@ -0,0 +1,31 @@ +--- +title: "ModelSamplingFlux - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingFlux node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelSamplingFlux" +icon: "circle" +mode: wide +--- +# ModelSamplingFlux + +ModelSamplingFlux 노드는 이미지 크기를 기반으로 시프트 매개변수를 계산하여 주어진 모델에 Flux 모델 샘플링을 적용합니다. 이 노드는 지정된 너비, 높이 및 시프트 매개변수에 따라 모델의 동작을 조정하는 특수 샘플링 구성을 생성한 후, 새로운 샘플링 설정이 적용된 수정된 모델을 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | Flux 샘플링을 적용할 모델 | MODEL | 예 | - | +| `최대 시프트` | 샘플링 계산을 위한 최대 시프트 값 (기본값: 1.15) | FLOAT | 예 | 0.0 - 100.0 | +| `기본 시프트` | 샘플링 계산을 위한 기본 시프트 값 (기본값: 0.5) | FLOAT | 예 | 0.0 - 100.0 | +| `너비` | 대상 이미지의 픽셀 단위 너비 (기본값: 1024) | INT | 예 | 16 - MAX_RESOLUTION | +| `높이` | 대상 이미지의 픽셀 단위 높이 (기본값: 1024) | INT | 예 | 16 - MAX_RESOLUTION | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | Flux 샘플링 구성이 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingFlux/ko.md) + +--- +**Source fingerprint (SHA-256):** `35733ab0cd032884ceada13715cf51e626586844e8e575471a5ba7cf8a1e5e49` diff --git a/ko/built-in-nodes/ModelSamplingLTXV.mdx b/ko/built-in-nodes/ModelSamplingLTXV.mdx new file mode 100644 index 000000000..b88ed099a --- /dev/null +++ b/ko/built-in-nodes/ModelSamplingLTXV.mdx @@ -0,0 +1,30 @@ +--- +title: "ModelSamplingLTXV - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingLTXV node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelSamplingLTXV" +icon: "circle" +mode: wide +--- +# ModelSamplingLTXV 노드 + +ModelSamplingLTXV 노드는 토큰 수를 기반으로 모델에 고급 샘플링 매개변수를 적용합니다. 기본 시프트 값과 최대 시프트 값 사이의 선형 보간을 사용하여 시프트 값을 계산하며, 이 계산은 입력 잠재 변수의 토큰 수에 따라 달라집니다. 그런 다음 노드는 특수화된 모델 샘플링 구성을 생성하여 입력 모델에 적용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 샘플링 매개변수를 적용할 입력 모델 | MODEL | 예 | - | +| `최대 시프트` | 선형 보간 계산에 사용되는 최대 시프트 값 (기본값: 2.05) | FLOAT | 예 | 0.0 ~ 100.0 | +| `기반 시프트` | 선형 보간 계산에 사용되는 기본 시프트 값 (기본값: 0.95) | FLOAT | 예 | 0.0 ~ 100.0 | +| `잠재 비디오` | 시프트 계산을 위한 토큰 수를 결정하는 데 사용되는 선택적 잠재 변수 입력입니다. 제공되지 않으면 기본 토큰 수 4096이 사용됩니다 | LATENT | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 샘플링 매개변수가 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingLTXV/ko.md) + +--- +**Source fingerprint (SHA-256):** `2325754df1b2541a6adbdebecefde92e08535af0e179d7444093a61eb35cb24c` diff --git a/ko/built-in-nodes/ModelSamplingSD3.mdx b/ko/built-in-nodes/ModelSamplingSD3.mdx new file mode 100644 index 000000000..eac26f0d7 --- /dev/null +++ b/ko/built-in-nodes/ModelSamplingSD3.mdx @@ -0,0 +1,26 @@ +--- +title: "ModelSamplingSD3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingSD3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelSamplingSD3" +icon: "circle" +mode: wide +--- +ModelSamplingSD3 노드는 Stable Diffusion 3 샘플링 매개변수를 모델에 적용합니다. 이 노드는 샘플링 분포 특성을 제어하는 shift 매개변수를 조정하여 모델의 샘플링 동작을 수정합니다. 지정된 샘플링 구성이 적용된 입력 모델의 수정된 복사본을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | SD3 샘플링 매개변수를 적용할 입력 모델 | MODEL | 예 | - | +| `시프트` | 샘플링 shift 매개변수를 제어합니다 (기본값: 3.0) | FLOAT | 예 | 0.0 - 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | SD3 샘플링 매개변수가 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingSD3/ko.md) + +--- +**Source fingerprint (SHA-256):** `aa2172d578badffb0a728308b0d3aae4d048db074336963965264d5e512a0d93` diff --git a/ko/built-in-nodes/ModelSamplingStableCascade.mdx b/ko/built-in-nodes/ModelSamplingStableCascade.mdx new file mode 100644 index 000000000..97e8191e7 --- /dev/null +++ b/ko/built-in-nodes/ModelSamplingStableCascade.mdx @@ -0,0 +1,28 @@ +--- +title: "ModelSamplingStableCascade - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingStableCascade node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelSamplingStableCascade" +icon: "circle" +mode: wide +--- +# ModelSamplingStableCascade + +ModelSamplingStableCascade 노드는 시프트 값을 사용하여 샘플링 매개변수를 조정함으로써 모델에 안정적인 캐스케이드 샘플링을 적용합니다. 이 노드는 안정적인 캐스케이드 생성을 위한 사용자 지정 샘플링 구성으로 입력 모델의 수정된 버전을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 안정적인 캐스케이드 샘플링을 적용할 입력 모델 | MODEL | 예 | - | +| `시프트` | 샘플링 매개변수에 적용할 시프트 값 (기본값: 2.0) | FLOAT | 예 | 0.0 - 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 안정적인 캐스케이드 샘플링이 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingStableCascade/ko.md) + +--- +**Source fingerprint (SHA-256):** `2d0a342fff05434c8fe78999187bd31dbee7deb6f4447759a489102a8ce277de` diff --git a/ko/built-in-nodes/ModelSave.mdx b/ko/built-in-nodes/ModelSave.mdx new file mode 100644 index 000000000..dbca107d8 --- /dev/null +++ b/ko/built-in-nodes/ModelSave.mdx @@ -0,0 +1,30 @@ +--- +title: "ModelSave - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSave node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelSave" +icon: "circle" +mode: wide +--- +# ModelSave 노드 + +ModelSave 노드는 학습되거나 수정된 모델을 컴퓨터 저장소에 저장합니다. 모델을 입력으로 받아 지정된 파일 이름으로 파일에 기록합니다. 이를 통해 작업을 보존하고 향후 프로젝트에서 모델을 재사용할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 디스크에 저장할 모델 | MODEL | 예 | - | +| `파일명 접두사` | 저장할 모델 파일의 파일 이름 및 경로 접두사 (기본값: "diffusion_models/ComfyUI") | STRING | 예 | - | +| `prompt` | 워크플로우 프롬프트 정보 (자동으로 제공됨) | PROMPT | 아니요 | - | +| `extra_pnginfo` | 추가 워크플로우 메타데이터 (자동으로 제공됨) | EXTRA_PNGINFO | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| *없음* | 이 노드는 출력 값을 반환하지 않습니다 | - | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSave/ko.md) + +--- +**Source fingerprint (SHA-256):** `1dda8a6d85aa19b739c1fe3e6e7f816e05011044fc8b0b91b23fa303f71d8b19` diff --git a/ko/built-in-nodes/MoonvalleyImg2VideoNode.mdx b/ko/built-in-nodes/MoonvalleyImg2VideoNode.mdx new file mode 100644 index 000000000..1d7562f52 --- /dev/null +++ b/ko/built-in-nodes/MoonvalleyImg2VideoNode.mdx @@ -0,0 +1,38 @@ +--- +title: "MoonvalleyImg2VideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoonvalleyImg2VideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoonvalleyImg2VideoNode" +icon: "circle" +mode: wide +--- +# Moonvalley Marey 이미지-투-비디오 노드 + +Moonvalley Marey 이미지-투-비디오 노드는 Moonvalley API를 사용하여 참조 이미지를 비디오로 변환합니다. 입력 이미지와 텍스트 프롬프트를 받아 지정된 해상도, 품질 설정 및 창의적 제어 옵션으로 비디오를 생성합니다. 이 노드는 이미지 업로드부터 비디오 생성 및 다운로드까지 전체 프로세스를 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 비디오 생성에 사용되는 참조 이미지 | IMAGE | 예 | - | +| `prompt` | 비디오 생성을 위한 텍스트 설명 (여러 줄 입력 가능) | STRING | 예 | - | +| `negative_prompt` | 원하지 않는 요소를 제외하기 위한 네거티브 프롬프트 텍스트 (기본값: 광범위한 네거티브 프롬프트 목록) | STRING | 아니요 | - | +| `resolution` | 출력 비디오의 해상도 (기본값: "16:9 (1920 x 1080)") | COMBO | 아니요 | "16:9 (1920 x 1080)"
"9:16 (1080 x 1920)"
"1:1 (1152 x 1152)"
"4:3 (1536 x 1152)"
"3:4 (1152 x 1536)" | +| `prompt_adherence` | 생성 제어를 위한 가이던스 스케일 (기본값: 4.5, 단계: 1.0) | FLOAT | 아니요 | 1.0 - 20.0 | +| `seed` | 랜덤 시드 값 (기본값: 9, 생성 후 제어 활성화) | INT | 아니요 | 0 - 4294967295 | +| `steps` | 노이즈 제거 단계 수 (기본값: 33, 단계: 1) | INT | 아니요 | 1 - 100 | + +**제약 사항:** + +- 입력 이미지의 크기는 300x300 픽셀에서 최대 허용 높이/너비 사이여야 합니다 +- 프롬프트 및 네거티브 프롬프트 텍스트 길이는 Moonvalley Marey 최대 프롬프트 길이로 제한됩니다 + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 출력 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyImg2VideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `674e69a7f106f6f961f10c179008b7bb1147bf0e569c72d207a105f3fab2aaf5` diff --git a/ko/built-in-nodes/MoonvalleyTxt2VideoNode.mdx b/ko/built-in-nodes/MoonvalleyTxt2VideoNode.mdx new file mode 100644 index 000000000..921ca326f --- /dev/null +++ b/ko/built-in-nodes/MoonvalleyTxt2VideoNode.mdx @@ -0,0 +1,32 @@ +--- +title: "MoonvalleyTxt2VideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoonvalleyTxt2VideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoonvalleyTxt2VideoNode" +icon: "circle" +mode: wide +--- +# Moonvalley Marey 텍스트-투-비디오 노드 + +Moonvalley Marey 텍스트-투-비디오 노드는 Moonvalley API를 사용하여 텍스트 설명으로부터 비디오 콘텐츠를 생성합니다. 텍스트 프롬프트를 입력받아 해상도, 품질 및 스타일에 대한 사용자 정의 설정으로 비디오로 변환합니다. 이 노드는 생성 요청 전송부터 최종 비디오 출력 다운로드까지 전체 프로세스를 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 생성할 비디오 콘텐츠의 텍스트 설명 | STRING | 예 | - | +| `negative_prompt` | 네거티브 프롬프트 텍스트 (기본값: 합성, 장면 전환, 아티팩트, 노이즈 등 제외 요소의 광범위한 목록) | STRING | 아니요 | - | +| `resolution` | 출력 비디오의 해상도 (기본값: "16:9 (1920 x 1080)") | STRING | 아니요 | "16:9 (1920 x 1080)"
"9:16 (1080 x 1920)"
"1:1 (1152 x 1152)"
"4:3 (1536 x 1152)"
"3:4 (1152 x 1536)"
"21:9 (2560 x 1080)" | +| `prompt_adherence` | 생성 제어를 위한 가이던스 스케일 (기본값: 4.0) | FLOAT | 아니요 | 1.0-20.0 | +| `seed` | 무작위 시드 값 (기본값: 9) | INT | 아니요 | 0-4294967295 | +| `steps` | 추론 단계 (기본값: 33) | INT | 아니요 | 1-100 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `video` | 텍스트 프롬프트를 기반으로 생성된 비디오 출력 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyTxt2VideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `3654043567d7aca3af741d706ee07a8d2e28dbeb4b5b8755514b790aa7c1bd41` diff --git a/ko/built-in-nodes/MoonvalleyVideo2VideoNode.mdx b/ko/built-in-nodes/MoonvalleyVideo2VideoNode.mdx new file mode 100644 index 000000000..038cc4ea6 --- /dev/null +++ b/ko/built-in-nodes/MoonvalleyVideo2VideoNode.mdx @@ -0,0 +1,35 @@ +--- +title: "MoonvalleyVideo2VideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoonvalleyVideo2VideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoonvalleyVideo2VideoNode" +icon: "circle" +mode: wide +--- +# Moonvalley 비디오-투-비디오 노드 + +Moonvalley Marey 비디오-투-비디오 노드는 입력 비디오를 텍스트 설명에 기반하여 새로운 비디오로 변환합니다. Moonvalley API를 사용하여 사용자의 프롬프트와 일치하면서도 원본 비디오의 움직임이나 포즈 특성을 보존하는 비디오를 생성합니다. 텍스트 프롬프트와 다양한 생성 매개변수를 통해 출력 비디오의 스타일과 내용을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 생성할 비디오를 설명하는 텍스트 (여러 줄 입력 가능) | STRING | 예 | - | +| `negative_prompt` | 네거티브 프롬프트 텍스트 (기본값: 광범위한 네거티브 설명 목록) | STRING | 아니요 | - | +| `seed` | 랜덤 시드 값 (기본값: 9) | INT | 예 | 0 ~ 4294967295 | +| `video` | 출력 비디오 생성에 사용되는 참조 비디오. 최소 5초 이상이어야 합니다. 5초를 초과하는 비디오는 자동으로 잘립니다. MP4 형식만 지원됩니다. | VIDEO | 예 | - | +| `control_type` | 제어 유형 선택 (기본값: "Motion Transfer") | COMBO | 아니요 | "Motion Transfer"
"Pose Transfer" | +| `motion_intensity` | control_type이 "Motion Transfer"인 경우에만 사용됨 (기본값: 100) | INT | 아니요 | 0 ~ 100 | +| `steps` | 추론 단계 수 (기본값: 33) | INT | 예 | 1 ~ 100 | + +**참고:** `motion_intensity` 매개변수는 `control_type`이 "Motion Transfer"로 설정된 경우에만 적용됩니다. "Pose Transfer"를 사용하는 경우 이 매개변수는 무시됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 출력 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyVideo2VideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `8202a4be469afa16d77b9e0287c290b9c3f390347fc60f23878f50fd95a758e0` diff --git a/ko/built-in-nodes/Morphology.mdx b/ko/built-in-nodes/Morphology.mdx new file mode 100644 index 000000000..d00a66802 --- /dev/null +++ b/ko/built-in-nodes/Morphology.mdx @@ -0,0 +1,29 @@ +--- +title: "Morphology - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Morphology node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Morphology" +icon: "circle" +mode: wide +--- +# 형태학(Morphology) 노드 + +형태학 노드는 이미지에 다양한 형태학적 연산을 적용합니다. 형태학적 연산은 이미지의 형태를 처리하고 분석하는 데 사용되는 수학적 연산입니다. 이 노드는 침식, 팽창, 열기, 닫기 등의 연산을 사용자 정의 가능한 커널 크기로 수행하여 효과 강도를 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 처리할 입력 이미지 | IMAGE | 예 | - | +| `연산` | 적용할 형태학적 연산입니다 (기본값: "erode") | STRING | 예 | `"erode"`
`"dilate"`
`"open"`
`"close"`
`"gradient"`
`"bottom_hat"`
`"top_hat"` | +| `커널 크기` | 구조 요소 커널의 크기입니다 (기본값: 3). 홀수여야 합니다. | INT | 예 | 3-999 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 형태학적 연산 적용 후 처리된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Morphology/ko.md) + +--- +**Source fingerprint (SHA-256):** `7f6224a0e58fbb7263267b377394e119c6f8d65d16af4ce492ca9504654af7b4` diff --git a/ko/built-in-nodes/MultiGPU_Options.mdx b/ko/built-in-nodes/MultiGPU_Options.mdx new file mode 100644 index 000000000..00e2afdff --- /dev/null +++ b/ko/built-in-nodes/MultiGPU_Options.mdx @@ -0,0 +1,31 @@ +--- +title: "MultiGPU_Options - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MultiGPU_Options node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MultiGPU_Options" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 서로 다른 속도의 여러 그래픽 카드를 사용할 때 각 GPU의 상대적 성능을 지정할 수 있게 해줍니다. 여러 장치 간에 작업을 분산하는 데 사용할 수 있는 GPU 옵션 그룹을 생성하지만, 현재 버전에서는 실제 속도 기반 작업 부하 분산이 아직 구현되지 않았습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `device_index` | 설정할 GPU 장치의 인덱스 번호 (기본값: 0) | INT | 예 | 0 ~ 64 | +| `relative_speed` | 작업 부하 분산에 사용되는 다른 GPU 대비 이 GPU의 상대적 속도 (기본값: 1.0, 단계: 0.01) | FLOAT | 예 | 0.0 ~ 무제한 | +| `gpu_options` | 이 장치의 옵션을 추가할 기존 GPU 옵션 그룹입니다. 제공되지 않으면 새 그룹이 생성됩니다 | GPU_OPTIONS | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `GPU_OPTIONS` | 설정된 장치 구성을 포함하는 GPU 옵션 그룹으로, 다중 GPU 작업을 위해 다른 노드에 전달할 수 있습니다 | GPU_OPTIONS | + +**참고:** `relative_speed` 매개변수는 정의되어 있지만, 현재 내부 스케줄러에서 GPU 간 작업 분산에 아직 사용되지 않습니다. 현재 구현에서는 상대적 속도와 관계없이 모든 장치에 작업이 균등하게 분배됩니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_Options/ko.md) + +--- +**Source fingerprint (SHA-256):** `8010460560a69c57d4ee0d8c3728a7a5d999e56ef5316b557fba0c660c9f38b0` diff --git a/ko/built-in-nodes/MultiGPU_WorkUnits.mdx b/ko/built-in-nodes/MultiGPU_WorkUnits.mdx new file mode 100644 index 000000000..422c77ee3 --- /dev/null +++ b/ko/built-in-nodes/MultiGPU_WorkUnits.mdx @@ -0,0 +1,72 @@ +--- +title: "MultiGPU_WorkUnits - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MultiGPU_WorkUnits node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MultiGPU_WorkUnits" +icon: "circle" +mode: wide +--- +## 개요 + +MultiGPU CFG Split 노드는 같은 컴퓨터에 설치된 여러 GPU가 확산 샘플링을 함께 처리할 수 있게 해줍니다. 실제 속도 향상은 워크플로에 따라 다르지만, 일반적인 워크플로에서는 최대 약 1.95배까지 빨라진 사례가 확인되었습니다. + +## 핵심 정보 + +서로 다른 종류의 GPU를 섞어 사용하는 것은 지원되지 않습니다. 설치된 GPU는 같은 종류여야 하며, 예를 들어 2 x 5090 또는 2 x 5080 같은 구성이어야 합니다. + +ComfyUI는 시작할 때 시스템에 설치된 여러 GPU를 자동으로 감지합니다. + +## 지원 GPU + +Ampere 이상 아키텍처를 사용하는 동일한 듀얼 GPU 구성이라면 지원됩니다. 예를 들면 2 x 3090 또는 2 x RTX6000 Pro입니다. + +## 지원 모델 + +* LTX-2.3 +* WAN 2.2 +* FLUX.2 Klein - Base Versions +* Z-Image +* Stable Diffusion 3.5 Large +* Hunyuan Video +* Qwen-Image-Edit-2511 +* Hunyuan-3D-v2.1 +* SDXL + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 샘플링 전에 MultiGPU CFG 분할용으로 준비할 모델입니다. | MODEL | 예 | 해당 없음 | +| `max_gpus` | 부하 분산에 사용할 동일 GPU의 최대 수입니다. 보통 시스템에 설치된 같은 종류의 GPU 개수에 맞춰 설정합니다. | INT | 예 | 최소: 1
단계: 1
기본값: 2 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MODEL` | MultiGPU CFG 분할용으로 준비되어, 바로 가속 샘플링에 사용할 수 있는 모델입니다. | MODEL | + +## 노드 배치와 워크플로 참고사항 + +![image1.png](/images/built-in-nodes/MultiGPU_WorkUnits/image1.png) +`max_gpus` 값은 시스템에 설치된 동일 GPU의 최대 개수로 설정해야 합니다. + +**노드 배치 위치:** MultiGPU CFG Split은 Model Load 노드와 Sampling 노드 사이에 배치해야 합니다. Model Load 노드의 모델 출력이 다른 노드에도 연결되어 있다면, Sampling 노드로 들어가기 직전의 마지막 노드로 MultiGPU CFG Split을 두어야 합니다. + +![image2.png](/images/built-in-nodes/MultiGPU_WorkUnits/image2.png) + +**워크플로 요구사항:** 이 노드는 CFG 단계에서 확산 워크플로를 나누어 처리합니다. 따라서 워크플로 안의 CFG 값은 1보다 커야 합니다. CFG = 1이 필요한 distilled 워크플로에서는 MultiGPU CFG Split을 사용해도 여러 GPU를 쓸 때 눈에 띄는 속도 향상을 기대하기 어렵습니다. + +## 멀티 GPU 사용 확인 방법 + +MultiGPU CFG Split을 켠 워크플로를 실행할 때는 Windows 작업 관리자를 열고 성능 항목을 선택해 보세요. +![image3.png](/images/built-in-nodes/MultiGPU_WorkUnits/image3.webp) +![image4.png](/images/built-in-nodes/MultiGPU_WorkUnits/image4.webp) +워크플로에서 샘플러가 실행되는 동안 설치된 두 GPU 모두에 활동이 보이면 정상입니다. + +## 예시 멀티 GPU 워크플로 (Wan 2.2 FP8) + +[예시 워크플로 (Wan 2.2 FP8)](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/MultiGPU_WorkUnits/asset/video_wan2_2_14B_t2v_mGPU.json) + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_WorkUnits/ko.md) + +--- +**Source fingerprint (SHA-256):** `7293ee785e29aea9a1a70a10444b99e89fb23c866505628ec57c209a2b8aaee0` diff --git a/ko/built-in-nodes/NAGuidance.mdx b/ko/built-in-nodes/NAGuidance.mdx new file mode 100644 index 000000000..34634293d --- /dev/null +++ b/ko/built-in-nodes/NAGuidance.mdx @@ -0,0 +1,28 @@ +--- +title: "NAGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the NAGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "NAGuidance" +icon: "circle" +mode: wide +--- +NAGuidance 노드는 모델에 정규화된 주의 유도(Normalized Attention Guidance)를 적용합니다. 이 기법은 샘플링 과정에서 모델의 주의 메커니즘을 수정하여 원치 않는 개념으로부터 생성을 멀어지게 함으로써, 증류되거나 schnell 모델에서 부정 프롬프트를 사용할 수 있게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 정규화된 주의 유도를 적용할 모델입니다. | MODEL | 예 | - | +| `nag_scale` | 유도 스케일 계수입니다. 값이 높을수록 생성 결과가 부정 프롬프트에서 더 멀어집니다. (기본값: 5.0) | FLOAT | 예 | 0.0 - 50.0 | +| `nag_alpha` | 정규화된 주의에 대한 혼합 계수입니다. 값이 1.0이면 원래 주의를 완전히 대체하고, 0.0이면 효과가 없습니다. (기본값: 0.5) | FLOAT | 예 | 0.0 - 1.0 | +| `nag_tau` | 정규화 비율을 제한하는 데 사용되는 스케일링 계수입니다. (기본값: 1.5) | FLOAT | 예 | 1.0 - 10.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 정규화된 주의 유도가 활성화된 패치된 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NAGuidance/ko.md) + +--- +**Source fingerprint (SHA-256):** `ea3d7fea94e62c8a0784887f3df9d8a503c3dbaa552bf860bd4dde1ae576fa9c` diff --git a/ko/built-in-nodes/NormalizeImages.mdx b/ko/built-in-nodes/NormalizeImages.mdx new file mode 100644 index 000000000..cc0b39ce3 --- /dev/null +++ b/ko/built-in-nodes/NormalizeImages.mdx @@ -0,0 +1,27 @@ +--- +title: "NormalizeImages - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the NormalizeImages node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "NormalizeImages" +icon: "circle" +mode: wide +--- +이 노드는 수학적 정규화 과정을 사용하여 입력 이미지의 픽셀 값을 조정합니다. 각 픽셀에서 지정된 평균값을 뺀 다음, 그 결과를 지정된 표준 편차로 나눕니다. 이는 다른 머신러닝 모델을 위해 이미지 데이터를 준비하는 일반적인 전처리 단계입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 정규화할 입력 이미지입니다. | IMAGE | 예 | - | +| `평균값` | 정규화를 위한 평균값입니다(기본값: 0.5). | FLOAT | 아니요 | 0.0 - 1.0 | +| `표준편차` | 정규화를 위한 표준 편차입니다(기본값: 0.5). | FLOAT | 아니요 | 0.001 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 정규화 과정이 적용된 후의 결과 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeImages/ko.md) + +--- +**Source fingerprint (SHA-256):** `9d08c8dba7d13c6f255ed786d3d2d3005bce425dc04b14b7199d868c3fc81fd9` diff --git a/ko/built-in-nodes/NormalizeVideoLatentStart.mdx b/ko/built-in-nodes/NormalizeVideoLatentStart.mdx new file mode 100644 index 000000000..362d6e017 --- /dev/null +++ b/ko/built-in-nodes/NormalizeVideoLatentStart.mdx @@ -0,0 +1,31 @@ +--- +title: "NormalizeVideoLatentStart - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the NormalizeVideoLatentStart node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "NormalizeVideoLatentStart" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/en.md) + +이 노드는 비디오 잠재 변수의 처음 몇 프레임을 조정하여 이후 프레임과 더 유사하게 보이도록 만듭니다. 비디오 후반부의 참조 프레임 집합에서 평균과 변동을 계산하고, 동일한 특성을 시작 프레임에 적용합니다. 이를 통해 비디오 시작 부분에서 더 부드럽고 일관된 시각적 전환을 생성할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `latent` | 처리할 비디오 잠재 변수 표현입니다. | LATENT | 예 | - | +| `start_frame_count` | 시작부터 계산하여 정규화할 잠재 프레임 수입니다(기본값: 4). | INT | 예 | 1~16384 | +| `reference_frame_count` | 시작 프레임 이후에 참조로 사용할 잠재 프레임 수입니다(기본값: 5). | INT | 예 | 1~16384 | + +**참고:** `reference_frame_count`는 시작 프레임 이후에 사용 가능한 프레임 수로 자동 제한됩니다. 비디오 잠재 변수가 1프레임만 있는 경우 정규화가 수행되지 않으며 원래 잠재 변수가 변경되지 않은 상태로 반환됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 시작 프레임이 정규화된 처리된 비디오 잠재 변수입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/ko.md) + +--- +**Source fingerprint (SHA-256):** `64844f3bf1735952334dcca3a829e8f666fd89e817ab66cf3c2dc04ecbbdff56` diff --git a/ko/built-in-nodes/Note.mdx b/ko/built-in-nodes/Note.mdx new file mode 100644 index 000000000..c843af198 --- /dev/null +++ b/ko/built-in-nodes/Note.mdx @@ -0,0 +1,16 @@ +--- +title: "Note - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Note node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Note" +icon: "circle" +mode: wide +--- +# 워크플로우에 주석을 추가하는 노드입니다. + +## 입력 + +## 출력 + +이 노드는 출력이 없습니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Note/ko.md) diff --git a/ko/built-in-nodes/OpenAIChatConfig.mdx b/ko/built-in-nodes/OpenAIChatConfig.mdx new file mode 100644 index 000000000..6f1efd957 --- /dev/null +++ b/ko/built-in-nodes/OpenAIChatConfig.mdx @@ -0,0 +1,27 @@ +--- +title: "OpenAIChatConfig - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIChatConfig node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenAIChatConfig" +icon: "circle" +mode: wide +--- +OpenAIChatConfig 노드는 OpenAI Chat 노드에 대한 추가 구성 옵션을 설정할 수 있도록 합니다. 이 노드는 모델이 응답을 생성하는 방식을 제어하는 고급 설정(잘라내기 동작, 출력 길이 제한 및 사용자 지정 지침 포함)을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `트렁케이션` | 모델 응답에 사용할 잘라내기 전략입니다. auto: 현재 응답과 이전 응답의 컨텍스트가 모델의 컨텍스트 창 크기를 초과하면, 모델은 대화 중간의 입력 항목을 삭제하여 응답을 컨텍스트 창에 맞게 잘라냅니다. disabled: 모델 응답이 컨텍스트 창 크기를 초과하면 요청이 실패하고 400 오류가 반환됩니다(기본값: "auto") | COMBO | 예 | `"auto"`
`"disabled"` | +| `최대 출력 토큰` | 응답에 대해 생성될 수 있는 토큰 수의 상한선입니다. 표시되는 출력 토큰을 포함합니다(기본값: 4096) | INT | 아니요 | 16 ~ 16384 | +| `지침` | 모델이 응답을 생성하는 방법에 대한 지침입니다(여러 줄 입력 지원). | STRING | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `OPENAI_CHAT_CONFIG` | OpenAI Chat 노드와 함께 사용하기 위해 지정된 설정을 포함하는 구성 객체입니다. | OPENAI_CHAT_CONFIG | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatConfig/ko.md) + +--- +**Source fingerprint (SHA-256):** `6d956aa1bc7f822c18ddaa55cd2345dad947fd93833de25a957f49878484af97` diff --git a/ko/built-in-nodes/OpenAIChatNode.mdx b/ko/built-in-nodes/OpenAIChatNode.mdx new file mode 100644 index 000000000..2cccb839f --- /dev/null +++ b/ko/built-in-nodes/OpenAIChatNode.mdx @@ -0,0 +1,32 @@ +--- +title: "OpenAIChatNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIChatNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenAIChatNode" +icon: "circle" +mode: wide +--- +이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatNode/en.md) + +이 노드는 OpenAI 모델로부터 텍스트 응답을 생성합니다. 텍스트 프롬프트(선택적으로 이미지 또는 파일 포함)를 OpenAI 모델에 전송하고 생성된 텍스트 응답을 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 모델에 전달할 텍스트 입력으로, 응답을 생성하는 데 사용됩니다 (기본값: 비어 있음) | STRING | 예 | - | +| `컨텍스트 유지` | 이 매개변수는 더 이상 사용되지 않으며 효과가 없습니다 (기본값: False) | BOOLEAN | 예 | - | +| `모델` | 응답을 생성하는 데 사용되는 모델 | COMBO | 예 | 여러 OpenAI 모델 사용 가능 | +| `이미지` | 모델의 컨텍스트로 사용할 선택적 이미지입니다. 여러 이미지를 포함하려면 이미지 배치 노드를 사용할 수 있습니다 | IMAGE | 아니요 | - | +| `파일` | 모델의 컨텍스트로 사용할 선택적 파일입니다. OpenAI 채팅 입력 파일 노드의 입력을 허용합니다 | OPENAI_INPUT_FILES | 아니요 | - | +| `고급 옵션` | 모델의 선택적 구성입니다. OpenAI 채팅 고급 옵션 노드의 입력을 허용합니다 | OPENAI_CHAT_CONFIG | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output_text` | OpenAI 모델이 생성한 텍스트 응답 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `ea66b58b23305b0d97bfc76cc39cfdfe8e01b70edcbfd60c2c640a07ad507ee6` diff --git a/ko/built-in-nodes/OpenAIDalle2.mdx b/ko/built-in-nodes/OpenAIDalle2.mdx new file mode 100644 index 000000000..3d70bf5c9 --- /dev/null +++ b/ko/built-in-nodes/OpenAIDalle2.mdx @@ -0,0 +1,36 @@ +--- +title: "OpenAIDalle2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIDalle2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenAIDalle2" +icon: "circle" +mode: wide +--- +# OpenAIDalle2 + +OpenAI의 DALL·E 2 엔드포인트를 통해 이미지를 동기식으로 생성합니다. + +## 작동 방식 + +이 노드는 OpenAI의 DALL·E 2 API에 연결하여 텍스트 설명을 기반으로 이미지를 생성합니다. 텍스트 프롬프트를 제공하면 노드가 이를 OpenAI 서버로 전송하고, 서버는 해당하는 이미지를 생성하여 ComfyUI로 반환합니다. 이 노드는 두 가지 모드로 작동합니다: 텍스트 프롬프트만 사용하는 표준 이미지 생성 모드와, 이미지와 마스크가 모두 제공될 때의 이미지 편집 모드입니다. 편집 모드에서는 마스크를 사용하여 원본 이미지 중 수정해야 할 부분을 결정하고 다른 영역은 그대로 유지합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 입력 타입 | 기본값 | 범위 | +| --- | --- | --- | --- | --- | --- | +| `프롬프트` | DALL·E용 텍스트 프롬프트 | STRING | 필수 | "" | - | +| `시드` | 백엔드에서 아직 구현되지 않음 | INT | 선택 | 0 | 0 ~ 2147483647 | +| `크기` | 이미지 크기 | COMBO | 선택 | "1024x1024" | "256x256", "512x512", "1024x1024" | +| `개수` | 생성할 이미지 개수 | INT | 선택 | 1 | 1 ~ 8 | +| `이미지` | 이미지 편집을 위한 선택적 참조 이미지 | IMAGE | 선택 | 없음 | - | +| `마스크` | 인페인팅을 위한 선택적 마스크 (흰색 영역이 대체됨) | MASK | 선택 | 없음 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | DALL·E 2에서 생성 또는 편집된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle2/ko.md) + +--- +**Source fingerprint (SHA-256):** `ad10b149ac28559ad18c09e0f071286509680603d953833106ad6a2d578f7efe` diff --git a/ko/built-in-nodes/OpenAIDalle3.mdx b/ko/built-in-nodes/OpenAIDalle3.mdx new file mode 100644 index 000000000..c13f513a3 --- /dev/null +++ b/ko/built-in-nodes/OpenAIDalle3.mdx @@ -0,0 +1,29 @@ +--- +title: "OpenAIDalle3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIDalle3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenAIDalle3" +icon: "circle" +mode: wide +--- +OpenAI의 DALL·E 3 엔드포인트를 통해 이미지를 동기식으로 생성합니다. 이 노드는 텍스트 프롬프트를 받아 OpenAI의 DALL·E 3 모델을 사용하여 해당 이미지를 생성하며, 이미지 품질, 스타일 및 크기를 지정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | DALL·E용 텍스트 프롬프트 (기본값: "") | STRING | 예 | - | +| `시드` | 백엔드에서 아직 구현되지 않음 (기본값: 0) | INT | 아니요 | 0 ~ 2147483647 | +| `품질` | 이미지 품질 (기본값: "standard") | COMBO | 아니요 | "standard"
"hd" | +| `스타일` | Vivid는 모델이 초현실적이고 극적인 이미지를 생성하도록 유도합니다. Natural은 모델이 보다 자연스럽고 덜 초현실적인 이미지를 생성하도록 합니다. (기본값: "natural") | COMBO | 아니요 | "natural"
"vivid" | +| `크기` | 이미지 크기 (기본값: "1024x1024") | COMBO | 아니요 | "1024x1024"
"1024x1792"
"1792x1024" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | DALL·E 3에서 생성된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle3/ko.md) + +--- +**Source fingerprint (SHA-256):** `e36bfe2a6ecec050906f220de3a3edf06eff0bfd6e21f08ce90579172a07d7eb` diff --git a/ko/built-in-nodes/OpenAIGPTImage1.mdx b/ko/built-in-nodes/OpenAIGPTImage1.mdx new file mode 100644 index 000000000..97bb9b354 --- /dev/null +++ b/ko/built-in-nodes/OpenAIGPTImage1.mdx @@ -0,0 +1,52 @@ +--- +title: "OpenAIGPTImage1 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIGPTImage1 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenAIGPTImage1" +icon: "circle" +mode: wide +--- +다음은 제공된 영어 문서를 번역 규칙에 따라 한국어로 번역한 결과입니다. + +> 본 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md) + +OpenAI의 GPT Image 엔드포인트를 통해 이미지를 동기식으로 생성합니다. 이 노드는 텍스트 프롬프트로 새 이미지를 생성하거나, 입력 이미지와 선택적 마스크가 제공될 경우 기존 이미지를 편집할 수 있습니다. gpt-image-1, gpt-image-1.5, gpt-image-2를 포함한 여러 GPT Image 모델을 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | GPT Image용 텍스트 프롬프트 (기본값: "") | STRING | 예 | - | +| `시드` | 생성을 위한 무작위 시드 (기본값: 0) - 백엔드에서 아직 구현되지 않음 | INT | 아니요 | 0 ~ 2147483647 | +| `품질` | 이미지 품질로, 비용 및 생성 시간에 영향을 줍니다 (기본값: "low") | COMBO | 아니요 | "low"
"medium"
"high" | +| `배경` | 배경 유무에 따른 이미지 반환 (기본값: "auto") | COMBO | 아니요 | "auto"
"opaque"
"transparent" | +| `크기` | 이미지 크기입니다. "Custom"을 선택하면 사용자 정의 너비와 높이를 사용합니다 (GPT Image 2 전용) (기본값: "auto") | COMBO | 아니요 | "auto"
"1024x1024"
"1024x1536"
"1536x1024"
"2048x2048"
"2048x1152"
"1152x2048"
"3840x2160"
"2160x3840"
"Custom" | +| `개수` | 생성할 이미지 수 (기본값: 1) | INT | 아니요 | 1 ~ 8 | +| `참조 이미지` | 이미지 편집을 위한 선택적 참조 이미지 | IMAGE | 아니요 | - | +| `마스크` | 인페인팅을 위한 선택적 마스크 (흰색 영역이 대체됩니다) | MASK | 아니요 | - | +| `model` | 사용할 GPT Image 모델 (기본값: "gpt-image-2") | COMBO | 아니요 | "gpt-image-1"
"gpt-image-1.5"
"gpt-image-2" | +| `custom_width` | `크기`가 "Custom"일 때만 사용됩니다. 16의 배수여야 합니다 (GPT Image 2 전용) (기본값: 1024) | INT | 아니요 | 1024 ~ 3840 | +| `custom_height` | `크기`가 "Custom"일 때만 사용됩니다. 16의 배수여야 합니다 (GPT Image 2 전용) (기본값: 1024) | INT | 아니요 | 1024 ~ 3840 | + +**매개변수 제약 조건:** + +- `image`가 제공되면 노드는 이미지 편집 모드로 전환됩니다. +- `mask`는 `image`가 제공된 경우에만 사용할 수 있습니다. +- `mask`를 사용하는 경우 단일 이미지만 지원됩니다 (배치 크기는 1이어야 함). +- `mask`와 `image`의 크기는 동일해야 합니다. +- 사용자 정의 해상도 (`size` = "Custom")는 gpt-image-2 모델에서만 지원됩니다. +- 사용자 정의 너비와 높이는 16의 배수여야 합니다. +- 사용자 정의 해상도의 종횡비는 3:1을 초과할 수 없습니다. +- 사용자 정의 해상도의 총 픽셀 수는 655,360에서 8,294,400 사이여야 합니다. +- 투명 배경은 gpt-image-2 모델에서 지원되지 않습니다. +- 1536x1024보다 큰 크기 (예: 2048x2048, 3840x2160)는 gpt-image-2 모델에서만 지원됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 생성되거나 편집된 이미지(들) | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImage1/ko.md) + +--- +**Source fingerprint (SHA-256):** `44b258d6afcb388db3836427abdd5a7cb5c09a0328efceef7e114dd61a38eae1` diff --git a/ko/built-in-nodes/OpenAIGPTImageNodeV2.mdx b/ko/built-in-nodes/OpenAIGPTImageNodeV2.mdx new file mode 100644 index 000000000..6e9e40bc9 --- /dev/null +++ b/ko/built-in-nodes/OpenAIGPTImageNodeV2.mdx @@ -0,0 +1,45 @@ +--- +title: "OpenAIGPTImageNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIGPTImageNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenAIGPTImageNodeV2" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 OpenAI의 GPT 이미지 API를 사용하여 이미지를 생성합니다. 여러 모델을 지원하며, 편집을 위한 입력 이미지를 제공할 수 있고, 마스크를 사용하여 이미지의 특정 부분을 수정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | GPT 이미지용 텍스트 프롬프트 (기본값: ""). | STRING | 예 | 해당 없음 | +| `모델` | 사용할 OpenAI GPT 이미지 모델입니다. 모델을 선택하면 해당 모델에 특화된 추가 매개변수가 표시됩니다. | COMBO | 예 | `"gpt-image-2"`
`"gpt-image-1.5"`
`"gpt-image-1"` | +| `model.size` | 이미지 크기입니다. 'Custom'을 선택하면 사용자 정의 너비와 높이를 사용합니다 (기본값: "auto"). `gpt-image-2`에서만 사용 가능합니다. | COMBO | 예 | `"auto"`
`"1024x1024"`
`"1024x1536"`
`"1536x1024"`
`"2048x2048"`
`"2048x1152"`
`"1152x2048"`
`"3840x2160"`
`"2160x3840"`
`"Custom"` | +| `model.custom_width` | `size`가 'Custom'일 때만 사용됩니다. 16의 배수여야 합니다 (기본값: 1024). `gpt-image-2`에서만 사용 가능합니다. | INT | 아니요 | 1024 ~ 3840 | +| `model.custom_height` | `size`가 'Custom'일 때만 사용됩니다. 16의 배수여야 합니다 (기본값: 1024). `gpt-image-2`에서만 사용 가능합니다. | INT | 아니요 | 1024 ~ 3840 | +| `model.background` | 배경 유무에 따라 이미지를 반환합니다 (기본값: "auto"). `gpt-image-2`에서만 사용 가능합니다. | COMBO | 예 | `"auto"`
`"opaque"` | +| `model.quality` | 생성된 이미지의 품질입니다. `gpt-image-2`에서만 사용 가능합니다. | COMBO | 예 | `"standard"`
`"hd"` | +| `model.images` | 편집을 위한 입력 이미지입니다. `gpt-image-2`에서만 사용 가능합니다. | IMAGE | 아니요 | 해당 없음 | +| `model.mask` | 입력 이미지에서 편집할 부분을 지정하는 마스크입니다. `gpt-image-2`에서만 사용 가능합니다. | MASK | 아니요 | 해당 없음 | +| `개수` | 생성할 이미지 개수입니다 (기본값: 1). | INT | 예 | 1 ~ 8 | +| `시드` | 재현성을 위한 시드 값입니다 (기본값: 0). 참고: 현재 백엔드에서 구현되지 않았습니다. | INT | 예 | 0 ~ 2147483647 | + +**매개변수 제약 사항 및 한계:** + +- `gpt-image-2`를 사용할 때 `model.size`가 "Custom"인 경우, `custom_width`와 `custom_height`는 16의 배수여야 하며, 최대 변의 길이는 3840 이하여야 하고, 종횡비는 3:1을 초과할 수 없으며, 총 픽셀 수는 655,360에서 8,294,400 사이여야 합니다. +- `mask`가 제공되면 입력 이미지(`model.images`)가 필수입니다. 입력 이미지 없이 마스크를 사용할 수 없습니다. +- 여러 개의 입력 이미지와 함께 마스크를 사용할 수 없습니다. +- 마스크가 제공되는 경우, 마스크의 크기는 입력 이미지의 크기와 일치해야 합니다. +- `seed` 매개변수는 현재 작동하지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 생성된 이미지 또는 이미지들입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/ko.md) + +--- +**Source fingerprint (SHA-256):** `a757208cf6cc151594599b35b0ef73f2caf7274189e948799211c0714a6a8f89` diff --git a/ko/built-in-nodes/OpenAIInputFiles.mdx b/ko/built-in-nodes/OpenAIInputFiles.mdx new file mode 100644 index 000000000..b9d5501e6 --- /dev/null +++ b/ko/built-in-nodes/OpenAIInputFiles.mdx @@ -0,0 +1,32 @@ +--- +title: "OpenAIInputFiles - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIInputFiles node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenAIInputFiles" +icon: "circle" +mode: wide +--- +OpenAI API용 입력 파일을 로드하고 형식을 지정합니다. 이 노드는 텍스트(.txt) 및 PDF(.pdf) 파일을 준비하여 OpenAI 채팅 노드의 컨텍스트 입력으로 포함시킵니다. 응답을 생성할 때 OpenAI 모델이 해당 파일을 읽습니다. 여러 개의 OpenAI 입력 파일 노드를 연결하여 단일 메시지에 여러 파일을 포함시킬 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `파일` | 모델의 컨텍스트로 포함할 입력 파일입니다. 현재는 텍스트(.txt) 및 PDF(.pdf) 파일만 지원합니다. 파일 크기는 32MB 미만이어야 합니다. | COMBO | 예 | 여러 옵션 사용 가능 (입력 디렉토리 내 32MB 미만의 모든 .txt 및 .pdf 파일) | +| `OPENAI_INPUT_FILES` | 이 노드에서 로드된 파일과 함께 일괄 처리할 추가 파일(선택 사항)입니다. 입력 파일을 연결하여 단일 메시지에 여러 입력 파일을 포함시킬 수 있습니다. | OPENAI_INPUT_FILES | 아니요 | 해당 없음 | + +**파일 제약 조건:** + +- .txt 및 .pdf 파일만 지원됩니다. +- 최대 파일 크기: 32MB +- 파일은 ComfyUI 입력 디렉토리에서 로드됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `OPENAI_INPUT_FILES` | OpenAI API 호출의 컨텍스트로 사용할 준비가 된 형식화된 입력 파일입니다. | OPENAI_INPUT_FILES | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIInputFiles/ko.md) + +--- +**Source fingerprint (SHA-256):** `e5e92f6628072da9af787867e38c89dde3db853b7289ef6c607a066cd04c1cc9` diff --git a/ko/built-in-nodes/OpenAIVideoSora2.mdx b/ko/built-in-nodes/OpenAIVideoSora2.mdx new file mode 100644 index 000000000..feedcd5e5 --- /dev/null +++ b/ko/built-in-nodes/OpenAIVideoSora2.mdx @@ -0,0 +1,40 @@ +--- +title: "OpenAIVideoSora2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIVideoSora2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenAIVideoSora2" +icon: "circle" +mode: wide +--- +# OpenAIVideoSora2 노드 + +OpenAIVideoSora2 노드는 OpenAI의 Sora 모델을 사용하여 비디오를 생성합니다. 텍스트 프롬프트와 선택적 입력 이미지를 기반으로 비디오 콘텐츠를 생성한 후, 생성된 비디오 출력을 반환합니다. 이 노드는 선택한 모델에 따라 다양한 비디오 길이와 해상도를 지원합니다. + +**사용 중단 공지:** OpenAI는 2026년 9월에 Sora v2 API 서비스를 중단할 예정입니다. 이 노드는 해당 시점에 ComfyUI에서 제거될 것입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 비디오 생성에 사용할 OpenAI Sora 모델 (기본값: "sora-2") | COMBO | 예 | "sora-2"
"sora-2-pro" | +| `프롬프트` | 안내 텍스트; 입력 이미지가 있는 경우 비워둘 수 있음 (기본값: 비어 있음) | STRING | 예 | - | +| `크기` | 생성된 비디오의 해상도 (기본값: "1280x720") | COMBO | 예 | "720x1280"
"1280x720"
"1024x1792"
"1792x1024" | +| `지속 시간` | 생성된 비디오의 길이(초) (기본값: 8) | COMBO | 예 | 4
8
12 | +| `이미지` | 비디오 생성을 위한 선택적 입력 이미지 | IMAGE | 아니요 | - | +| `시드` | 노드 재실행 여부를 결정하는 시드; 실제 결과는 시드와 관계없이 비결정적임 (기본값: 0) | INT | 아니요 | 0 ~ 2147483647 | + +**제약 사항 및 한계:** + +- "sora-2" 모델은 "720x1280" 및 "1280x720" 해상도만 지원합니다 +- 이미지 매개변수 사용 시 하나의 입력 이미지만 지원됩니다 +- 시드 값과 관계없이 결과는 비결정적입니다 + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 출력 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIVideoSora2/ko.md) + +--- +**Source fingerprint (SHA-256):** `c87b696dd92c6a6a929f49d189a375b1ebed80bf47f24667ee17c0b210330e55` diff --git a/ko/built-in-nodes/OpenRouterLLMNode.mdx b/ko/built-in-nodes/OpenRouterLLMNode.mdx new file mode 100644 index 000000000..f81f5e92a --- /dev/null +++ b/ko/built-in-nodes/OpenRouterLLMNode.mdx @@ -0,0 +1,36 @@ +--- +title: "OpenRouterLLMNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenRouterLLMNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenRouterLLMNode" +icon: "circle" +mode: wide +--- +# 개요 + +OpenRouter LLM 노드는 OpenRouter 서비스를 통해 제공되는 엄선된 인기 언어 모델 세트에 텍스트 프롬프트를 전송하고 생성된 텍스트 응답을 반환합니다. xAI, DeepSeek, Qwen, Mistral, Z.AI(GLM), Moonshot(Kimi), Perplexity Sonar와 같은 제공업체의 모델을 지원하며, 요청에 이미지나 비디오를 선택적으로 포함할 수 있습니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 모델에 전달할 텍스트 입력입니다. | STRING | 예 | 해당 없음 | +| `model` | 응답을 생성하는 데 사용되는 OpenRouter 모델입니다. | STRING | 예 | 여러 옵션 사용 가능 (아래 참고 사항 확인) | +| `seed` | 샘플링을 위한 시드입니다. 생략하려면 0으로 설정하세요. 대부분의 모델은 이를 참고 힌트로만 처리합니다. (기본값: 0) | INT | 예 | 0 ~ 2147483647 | +| `system_prompt` | 모델의 동작을 지시하는 기본 명령입니다. (기본값: "") | STRING | 아니요 | 해당 없음 | + +**`model` 매개변수 참고 사항:** 사용 가능한 모델 옵션은 동적으로 구성되며, 다양한 기능을 가진 모델이 포함될 수 있습니다. 일부 모델은 추론 노력, 웹 검색 또는 이미지/비디오 입력과 같은 추가 기능을 지원합니다. 이 노드는 제공된 이미지나 비디오의 개수가 모델의 최대 지원 개수를 초과하지 않는지 확인합니다. + +**`seed` 매개변수 참고 사항:** `seed` 매개변수는 "control_after_generate" 동작을 가지며, 사용자의 위젯 설정에 따라 각 노드 실행 후 자동으로 변경(예: 무작위화, 증가 또는 고정)되도록 설정할 수 있습니다. + +**`system_prompt` 참고 사항:** 이 매개변수는 선택 사항이며 사용자 인터페이스에서 고급 매개변수로 표시됩니다. + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | OpenRouter 모델에서 생성된 텍스트 응답입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a` diff --git a/ko/built-in-nodes/OpticalFlowLoader.mdx b/ko/built-in-nodes/OpticalFlowLoader.mdx new file mode 100644 index 000000000..8875443f1 --- /dev/null +++ b/ko/built-in-nodes/OpticalFlowLoader.mdx @@ -0,0 +1,27 @@ +--- +title: "OpticalFlowLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpticalFlowLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpticalFlowLoader" +icon: "circle" +mode: wide +--- +## 개요 + +`models/optical_flow/` 폴더에서 광학 흐름(optical flow) 모델을 불러옵니다. 현재는 VOIDWarpedNoise 노드에서 사용하는 torchvision의 RAFT-large 형식만 지원됩니다. ComfyUI는 광학 흐름 가중치를 자동으로 다운로드하지 않습니다. 체크포인트 파일을 수동으로 `models/optical_flow/` 디렉터리에 배치해야 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model_name` | 불러올 광학 흐름 모델입니다. 파일은 `optical_flow` 폴더에 배치되어야 합니다. 현재는 torchvision의 `raft_large.pth`만 지원됩니다. | STRING | 예 | `models/optical_flow/` 폴더 내 파일 목록 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `OPTICAL_FLOW` | 불러온 광학 흐름 모델로, 다른 노드에서 사용할 수 있도록 ModelPatcher로 래핑된 상태입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpticalFlowLoader/ko.md) + +--- +**Source fingerprint (SHA-256):** `94bab0bb7e2b9d9b3f343337799eccc744f79275b72a6fad9681b408b4a0820b` diff --git a/ko/built-in-nodes/OptimalStepsScheduler.mdx b/ko/built-in-nodes/OptimalStepsScheduler.mdx new file mode 100644 index 000000000..7e30a2f3e --- /dev/null +++ b/ko/built-in-nodes/OptimalStepsScheduler.mdx @@ -0,0 +1,29 @@ +--- +title: "OptimalStepsScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OptimalStepsScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OptimalStepsScheduler" +icon: "circle" +mode: wide +--- +OptimalStepsScheduler 노드는 선택한 모델 유형과 단계 구성에 기반하여 확산 모델의 노이즈 스케줄 시그마 값을 계산합니다. 노이즈 제거(denoise) 매개변수에 따라 전체 단계 수를 조정하고, 요청된 단계 수에 맞게 노이즈 수준을 보간합니다. 이 노드는 확산 샘플링 과정에서 사용되는 노이즈 수준을 결정하는 시그마 값 시퀀스를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델 종류` | 노이즈 수준 계산에 사용할 확산 모델 유형 | COMBO | 예 | "FLUX"
"Wan"
"Chroma" | +| `스텝` | 계산할 총 샘플링 단계 수 (기본값: 20) | INT | 예 | 3-1000 | +| `디노이즈` | 노이즈 제거 강도를 제어하며, 유효 단계 수를 조정합니다 (기본값: 1.0) | FLOAT | 아니요 | 0.0-1.0 | + +**참고:** `denoise`가 1.0 미만으로 설정되면, 노드는 유효 단계를 `steps * denoise`로 계산합니다. `denoise`가 0.0으로 설정되면, 노드는 빈 텐서를 반환합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `sigmas` | 확산 샘플링을 위한 노이즈 스케줄을 나타내는 시그마 값 시퀀스 | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OptimalStepsScheduler/ko.md) + +--- +**Source fingerprint (SHA-256):** `4379171dc6d525a1ece514fdd11a95bfd92ed0c8b301f69ca718c1a3256b9590` diff --git a/ko/built-in-nodes/Painter.mdx b/ko/built-in-nodes/Painter.mdx new file mode 100644 index 000000000..596a1d2e1 --- /dev/null +++ b/ko/built-in-nodes/Painter.mdx @@ -0,0 +1,32 @@ +--- +title: "Painter - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Painter node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Painter" +icon: "circle" +mode: wide +--- +Painter 노드는 ComfyUI 내에서 직접 이미지나 마스크를 생성하거나 편집할 수 있는 대화형 캔버스를 제공합니다. 빈 캔버스나 기존 이미지로 시작하여 브러시 도구로 그림을 그리고, 결과 이미지와 해당 알파 마스크를 모두 출력할 수 있습니다. 마스크는 그려진 영역을 정의하며, 이 영역은 기본 이미지나 배경색 위에 합성됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 덧그릴 기본 이미지입니다(선택 사항). 제공되지 않으면 지정된 배경색, 너비 및 높이를 사용하여 빈 캔버스가 생성됩니다. | IMAGE | 아니요 | - | +| `mask` | 일반적으로 노드의 내장 대화형 위젯에 의해 생성되는 페인팅 데이터입니다. 이 매개변수는 UI의 페인터 도구에 의해 관리되며, 표준 소켓에 연결하기 위한 것이 아닙니다. | STRING | 예 | - | +| `너비` | 기본 `이미지`가 제공되지 않을 때 사용되는 캔버스의 너비(픽셀)입니다. 값은 64의 배수여야 합니다. 기본값은 512입니다. | INT | 예 | 64 ~ 4096 | +| `높이` | 기본 `이미지`가 제공되지 않을 때 사용되는 캔버스의 높이(픽셀)입니다. 값은 64의 배수여야 합니다. 기본값은 512입니다. | INT | 예 | 64 ~ 4096 | +| `배경색` | 캔버스의 배경색으로, 16진수 코드(예: #000000)로 지정됩니다. 기본 `이미지`가 제공되지 않을 때만 사용됩니다. 기본값은 검은색(#000000)입니다. | COLOR | 예 | - | + +**참고:** `mask` 입력은 노드의 특수 UI 위젯과 함께 작동하도록 설계되었습니다. 캔버스에 그림을 그리면 위젯이 자동으로 이 값을 채웁니다. `width` 및 `height` 입력은 표준 UI에서는 숨겨져 있지만, 새 이미지를 생성할 때 캔버스 크기를 정의합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 최종 합성 이미지입니다. 제공된 기본 `이미지` 또는 색상 배경 위에 그려진 영역(`mask`에서 가져옴)을 혼합한 결과입니다. | IMAGE | +| `MASK` | 페인팅에서 추출한 알파 채널(투명도) 마스크입니다. 흰색 영역은 그려진 영역을 나타내고, 검은색 영역은 변경되지 않은 배경을 나타냅니다. | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Painter/ko.md) + +--- +**Source fingerprint (SHA-256):** `ae926b6d30aab65737bd99a58cb7de5a71fa36e61a677dbc97fc30b8ef8d2418` diff --git a/ko/built-in-nodes/PairConditioningCombine.mdx b/ko/built-in-nodes/PairConditioningCombine.mdx new file mode 100644 index 000000000..28e0a87cb --- /dev/null +++ b/ko/built-in-nodes/PairConditioningCombine.mdx @@ -0,0 +1,29 @@ +--- +title: "PairConditioningCombine - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PairConditioningCombine node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PairConditioningCombine" +icon: "circle" +mode: wide +--- +PairConditioningCombine 노드는 두 개의 개별 컨디셔닝 쌍(각각 양성 및 음성 컨디셔닝으로 구성)을 하나의 결합된 쌍으로 병합합니다. 서로 다른 두 소스에서 양성 및 음성 컨디셔닝을 가져와 ComfyUI의 내부 로직을 사용하여 결합한 후, 최종적으로 하나의 양성 컨디셔닝과 하나의 음성 컨디셔닝을 출력합니다. 이 노드는 실험적이며 고급 컨디셔닝 조작 워크플로우를 위해 설계되었습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건 A` | 첫 번째 양성 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `부정 조건 A` | 첫 번째 음성 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `긍정 조건 B` | 두 번째 양성 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `부정 조건 B` | 두 번째 음성 컨디셔닝 입력 | CONDITIONING | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 결합된 양성 컨디셔닝 출력 | CONDITIONING | +| `negative` | 결합된 음성 컨디셔닝 출력 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningCombine/ko.md) + +--- +**Source fingerprint (SHA-256):** `34c14207930ba31fea054b2e641e9666e738ed786aa117449c4a27667bde41b1` diff --git a/ko/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx b/ko/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx new file mode 100644 index 000000000..7af6ceb0a --- /dev/null +++ b/ko/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx @@ -0,0 +1,30 @@ +--- +title: "PairConditioningSetDefaultAndCombine - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PairConditioningSetDefaultAndCombine node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PairConditioningSetDefaultAndCombine" +icon: "circle" +mode: wide +--- +**PairConditioningSetDefaultAndCombine** 노드는 기본 컨디셔닝 값을 설정하고 이를 입력 컨디셔닝 데이터와 결합합니다. 양성 및 음성 컨디셔닝 입력과 해당 기본값을 받아 ComfyUI의 후크 시스템을 통해 처리하여 기본값이 통합된 최종 컨디셔닝 출력을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `positive` | 처리할 기본 양성 컨디셔닝 입력입니다. | CONDITIONING | 예 | - | +| `negative` | 처리할 기본 음성 컨디셔닝 입력입니다. | CONDITIONING | 예 | - | +| `positive_DEFAULT` | 대체값으로 사용할 기본 양성 컨디셔닝 값입니다. | CONDITIONING | 예 | - | +| `negative_DEFAULT` | 대체값으로 사용할 기본 음성 컨디셔닝 값입니다. | CONDITIONING | 예 | - | +| `hooks` | 사용자 정의 처리 로직을 위한 선택적 후크 그룹입니다. | HOOKS | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `positive` | 기본값이 통합되어 처리된 양성 컨디셔닝입니다. | CONDITIONING | +| `negative` | 기본값이 통합되어 처리된 음성 컨디셔닝입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetDefaultAndCombine/ko.md) + +--- +**Source fingerprint (SHA-256):** `dfa47d0fe02e81db8b68d20ae9b765c2518773f4f7fc8caf774cb870267dbb21` diff --git a/ko/built-in-nodes/PairConditioningSetProperties.mdx b/ko/built-in-nodes/PairConditioningSetProperties.mdx new file mode 100644 index 000000000..3be5520a7 --- /dev/null +++ b/ko/built-in-nodes/PairConditioningSetProperties.mdx @@ -0,0 +1,32 @@ +--- +title: "PairConditioningSetProperties - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PairConditioningSetProperties node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PairConditioningSetProperties" +icon: "circle" +mode: wide +--- +**PairConditioningSetProperties** 노드는 긍정 및 부정 컨디셔닝 쌍의 속성을 동시에 수정할 수 있도록 합니다. 두 컨디셔닝 입력에 강도 조정, 컨디셔닝 영역 설정, 선택적 마스킹 또는 타이밍 제어를 적용하여 수정된 긍정 및 부정 컨디셔닝 데이터를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `새 긍정 조건` | 수정할 긍정 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `새 부정 조건` | 수정할 부정 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `강도` | 컨디셔닝에 적용되는 강도 승수 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 10.0 | +| `조건 영역 설정` | 컨디셔닝 영역 계산 방식을 결정합니다 (기본값: "default") | STRING | 예 | "default"
"mask bounds" | +| `마스크` | 컨디셔닝 영역을 제한하는 선택적 마스크 | MASK | 아니요 | - | +| `후크` | 고급 컨디셔닝 수정을 위한 선택적 후크 그룹 | HOOKS | 아니요 | - | +| `타임스텝 범위` | 컨디셔닝 적용 시점을 제한하는 선택적 타임스텝 범위 | TIMESTEPS_RANGE | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 속성이 적용된 수정된 긍정 컨디셔닝 | CONDITIONING | +| `negative` | 속성이 적용된 수정된 부정 컨디셔닝 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetProperties/ko.md) + +--- +**Source fingerprint (SHA-256):** `3f750c270665b4f3567790ab1ae0bdbfa176527d4f8d96cf10570a5c5deb9636` diff --git a/ko/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx b/ko/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx new file mode 100644 index 000000000..86b3c5872 --- /dev/null +++ b/ko/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx @@ -0,0 +1,36 @@ +--- +title: "PairConditioningSetPropertiesAndCombine - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PairConditioningSetPropertiesAndCombine node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PairConditioningSetPropertiesAndCombine" +icon: "circle" +mode: wide +--- +# PairConditioningSetPropertiesAndCombine 노드 + +PairConditioningSetPropertiesAndCombine 노드는 기존의 긍정 및 부정 조건화 입력에 새로운 조건화 데이터를 적용하여 조건화 쌍을 수정하고 결합합니다. 적용되는 조건화의 강도를 조정하고 조건화 영역이 설정되는 방식을 제어할 수 있습니다. 이 노드는 여러 조건화 소스를 함께 혼합해야 하는 고급 조건화 조작 워크플로우에서 특히 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | 원본 긍정 조건화 입력 | CONDITIONING | 예 | - | +| `부정 조건` | 원본 부정 조건화 입력 | CONDITIONING | 예 | - | +| `새 긍정 조건` | 적용할 새로운 긍정 조건화 | CONDITIONING | 예 | - | +| `새 부정 조건` | 적용할 새로운 부정 조건화 | CONDITIONING | 예 | - | +| `강도` | 새로운 조건화를 적용하기 위한 강도 계수 (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 10.0 | +| `조건 영역 설정` | 조건화 영역이 적용되는 방식을 제어 (기본값: "default") | STRING | 예 | "default"
"mask bounds" | +| `마스크` | 조건화 적용 영역을 제한하는 선택적 마스크 | MASK | 아니요 | - | +| `후크` | 고급 제어를 위한 선택적 후크 그룹 | HOOKS | 아니요 | - | +| `타임스텝 범위` | 선택적 타임스텝 범위 지정 | TIMESTEPS_RANGE | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 결합된 긍정 조건화 출력 | CONDITIONING | +| `부정 조건` | 결합된 부정 조건화 출력 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetPropertiesAndCombine/ko.md) + +--- +**Source fingerprint (SHA-256):** `d434fdc1ccbe3ddee6293a6300cc55d30cb5bf357025b26777791746f51e755e` diff --git a/ko/built-in-nodes/PatchModelAddDownscale.mdx b/ko/built-in-nodes/PatchModelAddDownscale.mdx new file mode 100644 index 000000000..676843436 --- /dev/null +++ b/ko/built-in-nodes/PatchModelAddDownscale.mdx @@ -0,0 +1,32 @@ +--- +title: "PatchModelAddDownscale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PatchModelAddDownscale node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PatchModelAddDownscale" +icon: "circle" +mode: wide +--- +PatchModelAddDownscale 노드는 모델의 특정 블록에 다운스케일링 및 업스케일링 연산을 적용하여 Kohya Deep Shrink 기능을 구현합니다. 처리 과정에서 중간 특징의 해상도를 낮춘 후 원래 크기로 복원함으로써 품질을 유지하면서 성능을 향상시킬 수 있습니다. 이 노드는 모델 실행 중 이러한 스케일링 연산이 발생하는 시점과 방식을 정밀하게 제어할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 다운스케일 패치를 적용할 모델 | MODEL | 예 | - | +| `블록 번호` | 다운스케일링이 적용될 특정 블록 번호 (기본값: 3) | INT | 아니요 | 1-32 | +| `다운스케일 배율` | 특징을 다운스케일할 비율 (기본값: 2.0) | FLOAT | 아니요 | 0.1-9.0 | +| `시작 퍼센트` | 노이즈 제거 과정에서 다운스케일링이 시작되는 지점 (기본값: 0.0) | FLOAT | 아니요 | 0.0-1.0 | +| `종료 퍼센트` | 노이즈 제거 과정에서 다운스케일링이 종료되는 지점 (기본값: 0.35) | FLOAT | 아니요 | 0.0-1.0 | +| `스킵 후 다운스케일` | 스킵 연결 후 다운스케일링을 적용할지 여부 (기본값: True) | BOOLEAN | 아니요 | - | +| `다운스케일 방법` | 다운스케일링 연산에 사용되는 보간 방법 | COMBO | 아니요 | "bicubic"
"nearest-exact"
"bilinear"
"area"
"bislerp" | +| `업스케일 방법` | 업스케일링 연산에 사용되는 보간 방법 | COMBO | 아니요 | "bicubic"
"nearest-exact"
"bilinear"
"area"
"bislerp" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 다운스케일 패치가 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PatchModelAddDownscale/ko.md) + +--- +**Source fingerprint (SHA-256):** `93ece77ad2dce3c1cdd554583ae1f2e6be51a43ab072d408869dddbcc7798c40` diff --git a/ko/built-in-nodes/PerpNeg.mdx b/ko/built-in-nodes/PerpNeg.mdx new file mode 100644 index 000000000..d6ae592a2 --- /dev/null +++ b/ko/built-in-nodes/PerpNeg.mdx @@ -0,0 +1,31 @@ +--- +title: "PerpNeg - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PerpNeg node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PerpNeg" +icon: "circle" +mode: wide +--- +# PerpNeg (수직 부정 유도) + +PerpNeg 노드는 모델의 샘플링 과정에 수직 부정 유도(perpendicular negative guidance)를 적용합니다. 이 노드는 모델의 설정 함수를 수정하여 부정 조건화(negative conditioning)와 스케일링 팩터를 사용해 노이즈 예측을 조정합니다. 이 노드는 더 이상 사용되지 않으며, 향상된 기능을 위해 PerpNegGuider 노드로 대체되었습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 수직 부정 유도를 적용할 모델 | MODEL | 예 | - | +| `빈 조건` | 부정 유도 계산에 사용되는 빈 조건화 | CONDITIONING | 예 | - | +| `부정 스케일` | 부정 유도의 스케일링 팩터 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 수직 부정 유도가 적용된 수정된 모델 | MODEL | + +**참고**: 이 노드는 더 이상 사용되지 않으며 PerpNegGuider로 대체되었습니다. 실험적 기능으로 표시되어 있으며, 프로덕션 워크플로우에서 사용해서는 안 됩니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNeg/ko.md) + +--- +**Source fingerprint (SHA-256):** `6be4ab03cfbda33ed3966ecd579c1a5e3242bdfb163fecefb9c80073a8827cae` diff --git a/ko/built-in-nodes/PerpNegGuider.mdx b/ko/built-in-nodes/PerpNegGuider.mdx new file mode 100644 index 000000000..604abdce6 --- /dev/null +++ b/ko/built-in-nodes/PerpNegGuider.mdx @@ -0,0 +1,32 @@ +--- +title: "PerpNegGuider - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PerpNegGuider node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PerpNegGuider" +icon: "circle" +mode: wide +--- +# PerpNegGuider 노드 + +PerpNegGuider 노드는 수직 네거티브 조건화(perpendicular negative conditioning)를 사용하여 이미지 생성을 제어하는 가이던스 시스템을 생성합니다. 이 노드는 포지티브, 네거티브 및 빈(empty) 조건화 입력을 받아 특화된 가이던스 알고리즘을 적용하여 생성 과정을 조정합니다. 실험적 테스트를 위해 설계되었으며, 가이던스 강도와 네거티브 스케일링을 세밀하게 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 가이던스 생성을 위해 사용할 모델 | MODEL | 예 | - | +| `긍정 조건` | 원하는 콘텐츠로 생성을 유도하는 포지티브 조건화 | CONDITIONING | 예 | - | +| `부정 조건` | 원하지 않는 콘텐츠에서 생성을 멀어지게 하는 네거티브 조건화 | CONDITIONING | 예 | - | +| `빈 조건` | 기준 참조로 사용되는 빈(중립) 조건화 | CONDITIONING | 예 | - | +| `cfg` | 조건화가 생성에 미치는 영향을 제어하는 분류기-프리 가이던스 스케일(기본값: 8.0) | FLOAT | 예 | 0.0 - 100.0 | +| `부정 스케일` | 네거티브 조건화의 강도를 조정하는 네거티브 스케일링 계수(기본값: 1.0) | FLOAT | 예 | 0.0 - 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `guider` | 생성 파이프라인에서 사용할 준비가 된 구성된 가이던스 시스템 | GUIDER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNegGuider/ko.md) + +--- +**Source fingerprint (SHA-256):** `efd3f78d461ade9d16885923875bacffb5afeafcbe32fc2d207598e0efe3a8c6` diff --git a/ko/built-in-nodes/PerturbedAttentionGuidance.mdx b/ko/built-in-nodes/PerturbedAttentionGuidance.mdx new file mode 100644 index 000000000..c3307048d --- /dev/null +++ b/ko/built-in-nodes/PerturbedAttentionGuidance.mdx @@ -0,0 +1,26 @@ +--- +title: "PerturbedAttentionGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PerturbedAttentionGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PerturbedAttentionGuidance" +icon: "circle" +mode: wide +--- +**PerturbedAttentionGuidance** 노드는 확산 모델에 교란된 주의 유도(perturbed attention guidance)를 적용하여 생성 품질을 향상시킵니다. 샘플링 과정에서 모델의 자체 주의 메커니즘을 값 투영에 초점을 맞춘 단순화된 버전으로 대체하여 작동합니다. 이 기법은 조건부 잡음 제거 과정을 조정하여 생성된 이미지의 일관성과 품질을 개선하는 데 도움을 줍니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 교란된 주의 유도를 적용할 확산 모델입니다. | MODEL | 예 | - | +| `스케일` | 교란된 주의 유도 효과의 강도입니다(기본값: 3.0). 0으로 설정하면 노드가 아무런 효과를 내지 않으며 원래의 잡음 제거 결과를 반환합니다. | FLOAT | 아니요 | 0.0 - 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 교란된 주의 유도가 적용된 수정된 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerturbedAttentionGuidance/ko.md) + +--- +**Source fingerprint (SHA-256):** `8808aa3a3f7cfe306e17f8f4424779cb8e4565647bbcc9d4907da2215affe191` diff --git a/ko/built-in-nodes/PhotoMakerEncode.mdx b/ko/built-in-nodes/PhotoMakerEncode.mdx new file mode 100644 index 000000000..ea8fb2ce9 --- /dev/null +++ b/ko/built-in-nodes/PhotoMakerEncode.mdx @@ -0,0 +1,32 @@ +--- +title: "PhotoMakerEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PhotoMakerEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PhotoMakerEncode" +icon: "circle" +mode: wide +--- +# PhotoMakerEncode 노드 + +PhotoMakerEncode 노드는 이미지와 텍스트를 처리하여 AI 이미지 생성을 위한 컨디셔닝 데이터를 생성합니다. 참조 이미지와 텍스트 프롬프트를 입력받아, 참조 이미지의 시각적 특성을 기반으로 이미지 생성을 안내하는 임베딩을 생성합니다. 이 노드는 텍스트에서 "photomaker" 토큰을 찾아 이미지 기반 컨디셔닝을 적용할 위치를 결정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `포토메이커 모델` | 이미지 처리 및 임베딩 생성을 위한 PhotoMaker 모델 | PHOTOMAKER | 예 | - | +| `이미지` | 컨디셔닝을 위한 시각적 특성을 제공하는 참조 이미지 | IMAGE | 예 | - | +| `clip` | 텍스트 토큰화 및 인코딩에 사용되는 CLIP 모델 | CLIP | 예 | - | +| `텍스트` | 컨디셔닝 생성을 위한 텍스트 프롬프트 (기본값: "photograph of photomaker") | STRING | 예 | - | + +**참고:** 텍스트에 "photomaker" 단어가 포함된 경우, 노드는 프롬프트의 해당 위치에 이미지 기반 컨디셔닝을 적용합니다. 텍스트에서 "photomaker"를 찾을 수 없는 경우, 노드는 이미지 영향 없이 표준 텍스트 컨디셔닝을 생성합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 이미지 생성 안내를 위한 이미지 및 텍스트 임베딩을 포함하는 컨디셔닝 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerEncode/ko.md) + +--- +**Source fingerprint (SHA-256):** `535fd3dbbe0e48205bebde030138ffca841dc94a18fd47db768a1066fe84bce4` diff --git a/ko/built-in-nodes/PhotoMakerLoader.mdx b/ko/built-in-nodes/PhotoMakerLoader.mdx new file mode 100644 index 000000000..543340bed --- /dev/null +++ b/ko/built-in-nodes/PhotoMakerLoader.mdx @@ -0,0 +1,27 @@ +--- +title: "PhotoMakerLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PhotoMakerLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PhotoMakerLoader" +icon: "circle" +mode: wide +--- +# PhotoMakerLoader 노드 + +PhotoMakerLoader 노드는 사용 가능한 모델 파일에서 PhotoMaker 모델을 로드합니다. 지정된 모델 파일을 읽고 신원 기반 이미지 생성 작업에 사용할 PhotoMaker ID 인코더를 준비합니다. 이 노드는 실험적 기능으로 표시되어 있으며 테스트 목적으로 사용됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `포토메이커 파일명` | 로드할 PhotoMaker 모델 파일의 이름입니다. 사용 가능한 옵션은 `photomaker` 폴더에 있는 모델 파일에 따라 결정됩니다. | STRING | 예 | 여러 옵션 사용 가능 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `photomaker_model` | ID 인코딩 작업에 사용할 수 있도록 ID 인코더가 포함된 로드된 PhotoMaker 모델입니다. | PHOTOMAKER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerLoader/ko.md) + +--- +**Source fingerprint (SHA-256):** `4c55abacf8462d8de3d1f2a728d4b09ab1d1c8c6476d25cc4af5089508a721da` diff --git a/ko/built-in-nodes/PiDConditioning.mdx b/ko/built-in-nodes/PiDConditioning.mdx new file mode 100644 index 000000000..802e646bd --- /dev/null +++ b/ko/built-in-nodes/PiDConditioning.mdx @@ -0,0 +1,30 @@ +--- +title: "PiDConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PiDConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PiDConditioning" +icon: "circle" +mode: wide +--- +## 개요 + +잠재 이미지와 열화 시그마 값을 CONDITIONING 데이터에 첨부합니다. 이는 PiD(Pixel-in-Detail) 디코딩 또는 업스케일링에 사용되며, 처리 전 잠재 이미지의 열화 정도를 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `포지티브` | 잠재 이미지와 열화 시그마를 첨부할 컨디셔닝 데이터입니다. | CONDITIONING | 예 | - | +| `latent` | 컨디셔닝에 첨부할 잠재 이미지(VAEEncode 또는 KSampler에서 생성)입니다. | LATENT | 예 | - | +| `latent_format` | 잠재 이미지의 형식입니다. Flux1 및 Flux2 잠재 이미지는 채널 차원에서 자동으로 감지됩니다. SD3는 수동으로 선택해야 합니다(기본값: "flux"). | COMBO | 예 | `"flux"`
`"sd3"` | +| `degrade_sigma` | 적용할 열화 정도입니다. 0은 깨끗한 잠재 이미지를 의미합니다. 손상된 잠재 이미지 출력을 노이즈 제거하려면 이 값을 높이십시오(기본값: 0.0). | FLOAT | 예 | 0.0 ~ 1.0 (단위: 0.01) | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 잠재 이미지와 열화 시그마 값이 첨부된 원본 컨디셔닝 데이터입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PiDConditioning/ko.md) + +--- +**Source fingerprint (SHA-256):** `7c8de543629c2299fc2c1e035e433dfc249af594773a77e65c69dde67eb104d7` diff --git a/ko/built-in-nodes/PikaImageToVideoNode2_2.mdx b/ko/built-in-nodes/PikaImageToVideoNode2_2.mdx new file mode 100644 index 000000000..06e57f8be --- /dev/null +++ b/ko/built-in-nodes/PikaImageToVideoNode2_2.mdx @@ -0,0 +1,30 @@ +--- +title: "PikaImageToVideoNode2_2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PikaImageToVideoNode2_2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PikaImageToVideoNode2_2" +icon: "circle" +mode: wide +--- +Pika Image to Video 노드는 이미지와 텍스트 프롬프트를 Pika API 버전 2.2로 전송하여 비디오를 생성합니다. 제공된 설명과 설정에 따라 입력 이미지를 비디오 형식으로 변환합니다. 이 노드는 API 통신을 처리하고 생성된 비디오를 출력으로 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 비디오로 변환할 이미지 | IMAGE | 예 | - | +| `prompt_text` | 비디오 생성을 안내하는 텍스트 설명 | STRING | 예 | - | +| `negative_prompt` | 비디오에서 제외할 내용을 설명하는 텍스트 | STRING | 예 | - | +| `seed` | 재현 가능한 결과를 위한 무작위 시드 값 | INT | 예 | - | +| `resolution` | 출력 비디오 해상도 설정 | STRING | 예 | - | +| `duration` | 생성된 비디오의 길이(초 단위) | INT | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaImageToVideoNode2_2/ko.md) + +--- +**Source fingerprint (SHA-256):** `aaa8dc49b94f0fae2010a3b61a3fb41e212fa9d2946a934a1a7c651fdced81b3` diff --git a/ko/built-in-nodes/PikaScenesV2_2.mdx b/ko/built-in-nodes/PikaScenesV2_2.mdx new file mode 100644 index 000000000..3cc22e04c --- /dev/null +++ b/ko/built-in-nodes/PikaScenesV2_2.mdx @@ -0,0 +1,38 @@ +--- +title: "PikaScenesV2_2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PikaScenesV2_2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PikaScenesV2_2" +icon: "circle" +mode: wide +--- +PikaScenes v2.2 노드는 여러 이미지를 결합하여 모든 입력 이미지의 객체를 통합한 비디오를 생성합니다. 최대 5개의 서로 다른 이미지를 재료로 업로드하여 이를 매끄럽게 혼합한 고품질 비디오를 생성할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt_text` | 생성할 내용에 대한 텍스트 설명 | STRING | 예 | - | +| `negative_prompt` | 생성에서 제외할 내용에 대한 텍스트 설명 | STRING | 예 | - | +| `seed` | 생성을 위한 무작위 시드 값 | INT | 예 | - | +| `resolution` | 비디오의 출력 해상도 | STRING | 예 | - | +| `duration` | 생성된 비디오의 길이 | INT | 예 | - | +| `ingredients_mode` | 재료 결합 모드 (기본값: "creative") | STRING | 아니요 | "creative"
"precise" | +| `aspect_ratio` | 화면 비율 (너비 / 높이) (기본값: 1.778) | FLOAT | 아니요 | 0.4 - 2.5 | +| `image_ingredient_1` | 비디오 생성을 위한 재료로 사용될 이미지 | IMAGE | 아니요 | - | +| `image_ingredient_2` | 비디오 생성을 위한 재료로 사용될 이미지 | IMAGE | 아니요 | - | +| `image_ingredient_3` | 비디오 생성을 위한 재료로 사용될 이미지 | IMAGE | 아니요 | - | +| `image_ingredient_4` | 비디오 생성을 위한 재료로 사용될 이미지 | IMAGE | 아니요 | - | +| `image_ingredient_5` | 비디오 생성을 위한 재료로 사용될 이미지 | IMAGE | 아니요 | - | + +**참고:** 최대 5개의 이미지 재료를 제공할 수 있지만, 비디오를 생성하려면 최소 하나의 이미지가 필요합니다. 이 노드는 제공된 모든 이미지를 사용하여 최종 비디오 구성을 생성합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 모든 입력 이미지를 결합하여 생성된 비디오 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaScenesV2_2/ko.md) + +--- +**Source fingerprint (SHA-256):** `dda8f10a58527c2b9037744f59f30821cdde37ad23427b856ba5e699a05acafd` diff --git a/ko/built-in-nodes/PikaStartEndFrameNode2_2.mdx b/ko/built-in-nodes/PikaStartEndFrameNode2_2.mdx new file mode 100644 index 000000000..fece79be1 --- /dev/null +++ b/ko/built-in-nodes/PikaStartEndFrameNode2_2.mdx @@ -0,0 +1,31 @@ +--- +title: "PikaStartEndFrameNode2_2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PikaStartEndFrameNode2_2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PikaStartEndFrameNode2_2" +icon: "circle" +mode: wide +--- +PikaFrames v2.2 노드는 첫 번째 프레임과 마지막 프레임을 결합하여 비디오를 생성합니다. 시작점과 끝점을 정의하는 두 개의 이미지를 업로드하면, AI가 두 이미지 사이의 부드러운 전환을 생성하여 완전한 비디오를 만들어냅니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image_start` | 결합할 첫 번째 이미지입니다. | IMAGE | 예 | - | +| `image_end` | 결합할 마지막 이미지입니다. | IMAGE | 예 | - | +| `prompt_text` | 원하는 비디오 콘텐츠를 설명하는 텍스트 프롬프트입니다. | STRING | 예 | - | +| `negative_prompt` | 비디오에서 제외할 내용을 설명하는 텍스트입니다. | STRING | 예 | - | +| `seed` | 생성 일관성을 위한 무작위 시드 값입니다. | INT | 예 | - | +| `resolution` | 출력 비디오 해상도입니다. | STRING | 예 | - | +| `duration` | 생성된 비디오의 길이입니다. | INT | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | AI 전환을 통해 시작 프레임과 끝 프레임을 결합하여 생성된 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaStartEndFrameNode2_2/ko.md) + +--- +**Source fingerprint (SHA-256):** `0a26f6db754c61d1f35e3fd9faceb631a8103ce9ff38190a5dd637991914e238` diff --git a/ko/built-in-nodes/PikaTextToVideoNode2_2.mdx b/ko/built-in-nodes/PikaTextToVideoNode2_2.mdx new file mode 100644 index 000000000..3c93e1abe --- /dev/null +++ b/ko/built-in-nodes/PikaTextToVideoNode2_2.mdx @@ -0,0 +1,30 @@ +--- +title: "PikaTextToVideoNode2_2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PikaTextToVideoNode2_2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PikaTextToVideoNode2_2" +icon: "circle" +mode: wide +--- +Pika Text2Video v2.2 노드는 Pika API 버전 2.2에 텍스트 프롬프트를 전송하여 비디오를 생성합니다. 텍스트 설명을 Pika의 AI 비디오 생성 서비스를 사용하여 비디오로 변환합니다. 이 노드를 사용하면 화면 비율, 지속 시간, 해상도 등 비디오 생성 과정의 다양한 측면을 사용자 지정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt_text` | 비디오로 생성하고자 하는 내용을 설명하는 주요 텍스트 설명입니다 | STRING | 예 | - | +| `negative_prompt` | 생성된 비디오에 나타나지 않길 원하는 내용을 설명하는 텍스트입니다 | STRING | 예 | - | +| `seed` | 재현 가능한 결과를 위해 생성 과정의 무작위성을 제어하는 숫자입니다 | INT | 예 | - | +| `resolution` | 출력 비디오의 해상도 설정입니다 | STRING | 예 | - | +| `duration` | 비디오의 길이(초 단위)입니다 | INT | 예 | - | +| `aspect_ratio` | 화면 비율(너비 / 높이)입니다 (기본값: 1.7777777777777777) | FLOAT | 아니요 | 0.4 - 2.5 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | Pika API로부터 반환된 생성된 비디오 파일입니다 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaTextToVideoNode2_2/ko.md) + +--- +**Source fingerprint (SHA-256):** `b4287519f5d4cc4a1077a58fb13aa99697e3be038a0b382c4b4c9b0e53a0d8a8` diff --git a/ko/built-in-nodes/Pikadditions.mdx b/ko/built-in-nodes/Pikadditions.mdx new file mode 100644 index 000000000..189058710 --- /dev/null +++ b/ko/built-in-nodes/Pikadditions.mdx @@ -0,0 +1,29 @@ +--- +title: "Pikadditions - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Pikadditions node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Pikadditions" +icon: "circle" +mode: wide +--- +Pikadditions 노드를 사용하면 비디오에 원하는 객체나 이미지를 추가할 수 있습니다. 비디오를 업로드하고 추가할 대상을 지정하면 자연스럽게 통합된 결과물이 생성됩니다. 이 노드는 Pika API를 활용하여 이미지를 비디오에 자연스러운 모습으로 삽입합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `video` | 이미지를 추가할 비디오입니다. | VIDEO | 예 | - | +| `image` | 비디오에 추가할 이미지입니다. | IMAGE | 예 | - | +| `prompt_text` | 비디오에 추가할 내용에 대한 텍스트 설명입니다. | STRING | 예 | - | +| `negative_prompt` | 비디오에서 제외할 내용에 대한 텍스트 설명입니다. | STRING | 예 | - | +| `seed` | 재현 가능한 결과를 위한 무작위 시드 값입니다. | INT | 예 | 0 ~ 4294967295 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `output` | 이미지가 삽입된 처리된 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikadditions/ko.md) + +--- +**Source fingerprint (SHA-256):** `cf7bb4ee0a672e20c0ffc128fa95df43e05356aea03b2070f928a0263aff6234` diff --git a/ko/built-in-nodes/Pikaffects.mdx b/ko/built-in-nodes/Pikaffects.mdx new file mode 100644 index 000000000..1c9cd71b1 --- /dev/null +++ b/ko/built-in-nodes/Pikaffects.mdx @@ -0,0 +1,31 @@ +--- +title: "Pikaffects - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Pikaffects node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Pikaffects" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaffects/en.md) + +Pikaffects 노드는 입력 이미지에 다양한 시각 효과를 적용하여 비디오를 생성합니다. Pika의 비디오 생성 API를 사용하여 정적 이미지를 녹이기, 폭발, 부양과 같은 특정 효과가 적용된 애니메이션 비디오로 변환합니다. 이 노드는 Pika 서비스에 액세스하기 위해 API 키와 인증 토큰이 필요합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | Pikaffect를 적용할 참조 이미지입니다. | IMAGE | 예 | - | +| `pikaffect` | 이미지에 적용할 특정 시각 효과입니다(기본값: "Cake-ify"). | COMBO | 예 | "Cake-ify"
"Crumble"
"Crush"
"Decapitate"
"Deflate"
"Dissolve"
"Explode"
"Eye-pop"
"Inflate"
"Levitate"
"Melt"
"Peel"
"Poke"
"Squish"
"Ta-da"
"Tear" | +| `prompt_text` | 비디오 생성을 안내하는 텍스트 설명입니다. | STRING | 예 | - | +| `negative_prompt` | 생성된 비디오에서 피해야 할 내용을 설명하는 텍스트입니다. | STRING | 예 | - | +| `seed` | 재현 가능한 결과를 위한 무작위 시드 값입니다. | INT | 예 | 0 ~ 4294967295 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 적용된 Pikaffect가 포함된 생성된 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaffects/ko.md) + +--- +**Source fingerprint (SHA-256):** `68ebbee465763d463bf73678254eed38d37ebacb1c62d386bbe66961deffd5a8` diff --git a/ko/built-in-nodes/Pikaswaps.mdx b/ko/built-in-nodes/Pikaswaps.mdx new file mode 100644 index 000000000..eb08d90a7 --- /dev/null +++ b/ko/built-in-nodes/Pikaswaps.mdx @@ -0,0 +1,32 @@ +--- +title: "Pikaswaps - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Pikaswaps node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Pikaswaps" +icon: "circle" +mode: wide +--- +Pika Swaps 노드는 비디오 내의 객체나 영역을 새 이미지로 교체합니다. 마스크를 사용하여 교체할 영역을 정의하면, 노드가 비디오 시퀀스 전체에서 지정된 콘텐츠를 매끄럽게 교체합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `video` | 객체를 교체할 비디오입니다. | VIDEO | 예 | - | +| `image` | 비디오에서 마스킹된 객체를 대체하는 데 사용할 이미지입니다. | IMAGE | 예 | - | +| `mask` | 마스크를 사용하여 비디오에서 교체할 영역을 정의합니다. | MASK | 예 | - | +| `prompt_text` | 원하는 교체 내용을 설명하는 텍스트 프롬프트입니다. | STRING | 예 | - | +| `negative_prompt` | 교체 시 피해야 할 내용을 설명하는 텍스트 프롬프트입니다. | STRING | 예 | - | +| `seed` | 일관된 결과를 위한 난수 시드 값입니다. | INT | 예 | 0 ~ 4294967295 | + +**참고:** 이 노드는 모든 입력 매개변수를 제공해야 합니다. `video`, `image`, `mask`는 함께 작동하여 교체 작업을 정의하며, 마스크는 비디오의 어느 영역이 제공된 이미지로 교체될지를 지정합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 지정된 객체 또는 영역이 교체된 처리된 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaswaps/ko.md) + +--- +**Source fingerprint (SHA-256):** `007b7bc429fdada2fb8910392b056ae3a98d482cce9e280bdcd162ede497eb03` diff --git a/ko/built-in-nodes/PixverseImageToVideoNode.mdx b/ko/built-in-nodes/PixverseImageToVideoNode.mdx new file mode 100644 index 000000000..d114c5e3c --- /dev/null +++ b/ko/built-in-nodes/PixverseImageToVideoNode.mdx @@ -0,0 +1,36 @@ +--- +title: "PixverseImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PixverseImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PixverseImageToVideoNode" +icon: "circle" +mode: wide +--- +# PixverseImageToVideoNode + +입력 이미지와 텍스트 프롬프트를 기반으로 비디오를 생성합니다. 이 노드는 이미지를 입력받아 지정된 모션 및 품질 설정을 적용하여 정적 이미지를 움직이는 시퀀스로 변환함으로써 애니메이션 비디오를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 비디오로 변환할 입력 이미지 | IMAGE | 예 | - | +| `프롬프트` | 비디오 생성을 위한 프롬프트 | STRING | 예 | - | +| `품질` | 비디오 품질 설정 (기본값: res_540p) | COMBO | 예 | `res_540p`
`res_1080p` | +| `길이(초)` | 생성된 비디오의 길이(초) | COMBO | 예 | `dur_2`
`dur_5`
`dur_10` | +| `모션 모드` | 비디오 생성에 적용되는 모션 스타일 | COMBO | 예 | `normal`
`fast`
`slow`
`zoom_in`
`zoom_out`
`pan_left`
`pan_right`
`pan_up`
`pan_down`
`tilt_up`
`tilt_down`
`roll_clockwise`
`roll_counterclockwise` | +| `시드` | 비디오 생성을 위한 시드 (기본값: 0) | INT | 예 | 0-2147483647 | +| `부정 프롬프트` | 이미지에서 원하지 않는 요소에 대한 선택적 텍스트 설명 | STRING | 아니요 | - | +| `PixVerse 템플릿` | PixVerse 템플릿 노드에서 생성된, 생성 스타일에 영향을 주는 선택적 템플릿 | CUSTOM | 아니요 | - | + +**참고:** 1080p 품질을 사용하는 경우 모션 모드가 자동으로 normal로 설정되고 지속 시간이 5초로 제한됩니다. 5초 이외의 지속 시간을 사용하는 경우에도 모션 모드가 자동으로 normal로 설정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력 이미지와 매개변수를 기반으로 생성된 비디오 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseImageToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `7630c662a2506fb0c8be0cb9c6bfdfcf0fc06d2b6f16b8636664d587affededc` diff --git a/ko/built-in-nodes/PixverseTemplateNode.mdx b/ko/built-in-nodes/PixverseTemplateNode.mdx new file mode 100644 index 000000000..9c24e3d6d --- /dev/null +++ b/ko/built-in-nodes/PixverseTemplateNode.mdx @@ -0,0 +1,27 @@ +--- +title: "PixverseTemplateNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PixverseTemplateNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PixverseTemplateNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md) + +PixVerse 템플릿 노드를 사용하면 PixVerse 비디오 생성을 위해 사용 가능한 템플릿 중에서 선택할 수 있습니다. 선택한 템플릿 이름을 PixVerse API가 비디오 생성에 필요한 해당 템플릿 ID로 변환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `템플릿` | PixVerse 비디오 생성에 사용할 템플릿입니다. 사용 가능한 옵션은 PixVerse 시스템의 사전 정의된 템플릿에 해당합니다. | STRING | 예 | 여러 옵션 사용 가능 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `pixverse_template` | 선택한 템플릿 이름에 해당하는 템플릿 ID로, 다른 PixVerse 노드에서 비디오 생성에 사용할 수 있습니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTemplateNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `d6ea1eb1cc9a7d33cf69f101990e601189726b9ef9e199fe211087f7070f35d0` diff --git a/ko/built-in-nodes/PixverseTextToVideoNode.mdx b/ko/built-in-nodes/PixverseTextToVideoNode.mdx new file mode 100644 index 000000000..9881ecfae --- /dev/null +++ b/ko/built-in-nodes/PixverseTextToVideoNode.mdx @@ -0,0 +1,36 @@ +--- +title: "PixverseTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PixverseTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PixverseTextToVideoNode" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md) + +텍스트 프롬프트와 다양한 생성 매개변수를 기반으로 비디오를 생성합니다. 이 노드는 PixVerse API를 사용하여 비디오 콘텐츠를 생성하며, 화면 비율, 품질, 길이, 모션 스타일 등을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 비디오 생성을 위한 프롬프트 (기본값: "") | STRING | 예 | - | +| `화면 비율` | 생성된 비디오의 화면 비율 | COMBO | 예 | PixverseAspectRatio 옵션 | +| `품질` | 비디오 품질 설정 (기본값: PixverseQuality.res_540p) | COMBO | 예 | PixverseQuality 옵션 | +| `길이(초)` | 생성된 비디오의 길이(초) | COMBO | 예 | PixverseDuration 옵션 | +| `모션 모드` | 비디오 생성을 위한 모션 스타일 | COMBO | 예 | PixverseMotionMode 옵션 | +| `시드` | 비디오 생성을 위한 시드 (기본값: 0) | INT | 예 | 0 ~ 2147483647 | +| `부정 프롬프트` | 이미지에서 원하지 않는 요소에 대한 선택적 텍스트 설명 (기본값: "") | STRING | 아니요 | - | +| `PixVerse 템플릿` | PixVerse 템플릿 노드로 생성된, 생성 스타일에 영향을 주는 선택적 템플릿 | CUSTOM | 아니요 | - | + +**참고:** 1080p 품질을 사용하는 경우 모션 모드가 자동으로 일반으로 설정되고 길이는 5초로 제한됩니다. 5초가 아닌 길이의 경우에도 모션 모드가 자동으로 일반으로 설정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `ab9264668f48533cb139abfb322e9a6e425a2ad7280da103a7fe0a7704158762` diff --git a/ko/built-in-nodes/PixverseTransitionVideoNode.mdx b/ko/built-in-nodes/PixverseTransitionVideoNode.mdx new file mode 100644 index 000000000..dffa697cc --- /dev/null +++ b/ko/built-in-nodes/PixverseTransitionVideoNode.mdx @@ -0,0 +1,36 @@ +--- +title: "PixverseTransitionVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PixverseTransitionVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PixverseTransitionVideoNode" +icon: "circle" +mode: wide +--- +# 개요 + +PixVerse API를 사용하여 두 입력 이미지 간의 전환 비디오를 생성합니다. 시작 이미지와 종료 이미지를 제공하면, 노드가 텍스트 프롬프트와 선택한 설정에 따라 한 이미지에서 다른 이미지로 부드럽게 전환되는 비디오를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `시작 프레임` | 비디오 전환의 시작 이미지 | IMAGE | 예 | - | +| `끝 프레임` | 비디오 전환의 종료 이미지 | IMAGE | 예 | - | +| `프롬프트` | 비디오 생성을 위한 프롬프트 (기본값: 빈 문자열) | STRING | 예 | - | +| `품질` | 비디오 화질 설정 (기본값: `"540p"`) | COMBO | 예 | `"360p"`
`"540p"`
`"720p"`
`"1080p"` | +| `길이(초)` | 비디오 길이(초) | COMBO | 예 | `5`
`8` | +| `모션 모드` | 전환의 모션 스타일 (기본값: `"normal"`) | COMBO | 예 | `"normal"`
`"fast"` | +| `시드` | 비디오 생성을 위한 시드값 (기본값: 0) | INT | 예 | 0 ~ 2147483647 | +| `부정 프롬프트` | 이미지에서 원하지 않는 요소에 대한 선택적 텍스트 설명 (기본값: 빈 문자열) | STRING | 아니요 | - | + +**매개변수 제약사항 참고:** 1080p 화질을 사용하는 경우 모션 모드가 자동으로 `"normal"`로 설정되며, 비디오 길이는 5초로 제한됩니다. 5초가 아닌 다른 길이의 비디오를 선택하는 경우에도 모션 모드가 자동으로 `"normal"`로 설정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 전환 비디오 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `0b7f1e11d513c543df144031452bd9cd80e73c596aee8ffe9701bf471bf5983c` diff --git a/ko/built-in-nodes/PolyexponentialScheduler.mdx b/ko/built-in-nodes/PolyexponentialScheduler.mdx new file mode 100644 index 000000000..7102f8167 --- /dev/null +++ b/ko/built-in-nodes/PolyexponentialScheduler.mdx @@ -0,0 +1,25 @@ +--- +title: "PolyexponentialScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PolyexponentialScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PolyexponentialScheduler" +icon: "circle" +mode: wide +--- +PolyexponentialScheduler 노드는 다지수(polyexponential) 노이즈 스케줄을 기반으로 노이즈 수준(sigmas) 시퀀스를 생성하도록 설계되었습니다. 이 스케줄은 시그마 로그값에 대한 다항 함수로서, 확산 과정 전반에 걸쳐 유연하고 사용자 정의 가능한 노이즈 수준 진행을 가능하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `스텝 수` | 확산 과정의 단계 수를 지정하며, 생성되는 노이즈 수준의 세분성에 영향을 줍니다. | INT | +| `최대 시그마` | 최대 노이즈 수준으로, 노이즈 스케줄의 상한을 설정합니다. | FLOAT | +| `최소 시그마` | 최소 노이즈 수준으로, 노이즈 스케줄의 하한을 설정합니다. | FLOAT | +| `rho` | 다지수 노이즈 스케줄의 형태를 제어하는 매개변수로, 최소값과 최대값 사이에서 노이즈 수준이 어떻게 진행되는지에 영향을 줍니다. | FLOAT | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sigmas` | 지정된 다지수 노이즈 스케줄에 맞춰 조정된 노이즈 수준(sigmas) 시퀀스를 출력합니다. | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PolyexponentialScheduler/ko.md) diff --git a/ko/built-in-nodes/PorterDuffImageComposite.mdx b/ko/built-in-nodes/PorterDuffImageComposite.mdx new file mode 100644 index 000000000..f162f97ec --- /dev/null +++ b/ko/built-in-nodes/PorterDuffImageComposite.mdx @@ -0,0 +1,27 @@ +--- +title: "PorterDuffImageComposite - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PorterDuffImageComposite node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PorterDuffImageComposite" +icon: "circle" +mode: wide +--- +PorterDuffImageComposite 노드는 Porter-Duff 합성 연산자를 사용하여 이미지 합성을 수행하도록 설계되었습니다. 소스 이미지와 대상 이미지를 다양한 혼합 모드에 따라 결합하여, 이미지 투명도를 조작하고 창의적인 방식으로 이미지를 겹쳐 복잡한 시각 효과를 생성할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `원본` | 대상 이미지 위에 합성될 소스 이미지 텐서입니다. 선택한 합성 모드에 따라 최종 시각적 결과를 결정하는 중요한 역할을 합니다. | `IMAGE` | +| `원본 알파` | 소스 이미지의 알파 채널로, 소스 이미지의 각 픽셀 투명도를 지정합니다. 소스 이미지가 대상 이미지와 혼합되는 방식에 영향을 줍니다. | `MASK` | +| `대상` | 소스 이미지가 합성되는 배경 역할을 하는 대상 이미지 텐서입니다. 혼합 모드에 따라 최종 합성 이미지에 기여합니다. | `IMAGE` | +| `대상 알파` | 대상 이미지의 알파 채널로, 대상 이미지 픽셀의 투명도를 정의합니다. 소스 이미지와 대상 이미지의 혼합에 영향을 줍니다. | `MASK` | +| `모드` | 적용할 Porter-Duff 합성 모드로, 소스 이미지와 대상 이미지가 함께 혼합되는 방식을 결정합니다. 각 모드는 서로 다른 시각 효과를 생성합니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 지정된 Porter-Duff 모드를 적용하여 생성된 합성 이미지입니다. | `IMAGE` | +| `mask` | 합성 이미지의 알파 채널로, 각 픽셀의 투명도를 나타냅니다. | `MASK` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PorterDuffImageComposite/ko.md) diff --git a/ko/built-in-nodes/Preview3D.mdx b/ko/built-in-nodes/Preview3D.mdx new file mode 100644 index 000000000..69a7c4a05 --- /dev/null +++ b/ko/built-in-nodes/Preview3D.mdx @@ -0,0 +1,112 @@ +--- +title: "Preview3D - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Preview3D node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Preview3D" +icon: "circle" +mode: wide +--- +# Preview3D 노드 + +Preview3D 노드는 주로 3D 모델 출력을 미리 보는 데 사용됩니다. 이 노드는 두 가지 입력을 받습니다. 하나는 Load3D 노드의 `camera_info`이고, 다른 하나는 3D 모델 파일의 경로입니다. 모델 파일 경로는 `ComfyUI/output` 폴더에 위치해야 합니다. + +**지원되는 형식** +현재 이 노드는 `.gltf`, `.glb`, `.obj`, `.fbx`, `.stl`을 포함한 여러 3D 파일 형식을 지원합니다. + +**3D 노드 환경 설정** +3D 노드에 대한 일부 관련 환경 설정은 ComfyUI의 설정 메뉴에서 구성할 수 있습니다. 해당 설정에 대해서는 다음 문서를 참조하십시오: +[설정 메뉴](https://docs.comfy.org/interface/settings/3d) + +## 입력 + +| 매개변수 이름 | 설명 | 유형 | +| --- | --- | --- | +| camera_info | 카메라 정보 | LOAD3D_CAMERA | +| model_file | `ComfyUI/output/` 아래의 모델 파일 경로 | LOAD3D_CAMERA | + +## 캔버스 영역 설명 + +현재 ComfyUI 프론트엔드의 3D 관련 노드는 동일한 캔버스 구성 요소를 공유하므로, 일부 기능적 차이를 제외하면 기본적인 조작 방식은 대부분 일치합니다. + +> 다음 내용과 인터페이스는 주로 Load3D 노드를 기준으로 합니다. 구체적인 기능은 실제 노드 인터페이스를 참조하십시오. + +캔버스 영역에는 다양한 뷰 조작 기능이 포함되어 있습니다: + +- 미리보기 뷰 설정(그리드, 배경색, 미리보기 뷰) +- 카메라 제어: FOV, 카메라 유형 +- 전역 조명 강도: 조명 조정 +- 모델 내보내기: `GLB`, `OBJ`, `STL` 형식 지원 +- 등 + +![Load 3D Node UI](/images/built-in-nodes/Preview3D/preview3d_canvas.jpg) + +1. Load 3D 노드의 여러 메뉴 및 숨겨진 메뉴 포함 +2. 3D 뷰 조작 축 + +### 1. 뷰 조작 + + + +뷰 제어 조작: + +- 왼쪽 클릭 + 드래그: 뷰 회전 +- 오른쪽 클릭 + 드래그: 뷰 이동 +- 가운데 휠 스크롤 또는 가운데 클릭 + 드래그: 확대/축소 +- 좌표축: 뷰 전환 + +### 2. 왼쪽 메뉴 기능 + +![Menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) + +미리보기 영역에는 일부 뷰 조작 메뉴가 메뉴 안에 숨겨져 있습니다. 메뉴 버튼을 클릭하여 다양한 메뉴를 펼칠 수 있습니다. + +- 1. 장면: 미리보기 창 그리드, 배경색, 썸네일 설정 포함 +- 2. 모델: 모델 렌더링 모드, 텍스처 재질, 위쪽 방향 설정 +- 3. 카메라: 직교 뷰와 원근 뷰 전환, 원근 각도 설정 +- 4. 조명: 장면 전역 조명 강도 +- 5. 내보내기: 모델을 다른 형식으로 내보내기 (GLB, OBJ, STL) + +#### 장면 + +![scene menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) + +장면 메뉴는 몇 가지 기본 장면 설정 기능을 제공합니다: + +1. 그리드 표시/숨기기 +2. 배경색 설정 +3. 클릭하여 배경 이미지 업로드 +4. 미리보기 썸네일 숨기기 + +#### 모델 + +![Menu_Scene](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) + +모델 메뉴는 몇 가지 모델 관련 기능을 제공합니다: + +1. **위쪽 방향**: 모델의 위쪽 방향이 될 축 결정 +2. **재질 모드**: 모델 렌더링 모드 전환 - 원본, 법선, 와이어프레임, 라인아트 + +#### 카메라 + +![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) + +이 메뉴는 직교 뷰와 원근 뷰 간 전환 및 원근 각도 크기 설정을 제공합니다: + +1. **카메라**: 직교 뷰와 원근 뷰 간 빠른 전환 +2. **FOV**: FOV 각도 조정 + +#### 조명 + +![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) + +이 메뉴를 통해 장면의 전역 조명 강도를 빠르게 조정할 수 있습니다 + +#### 내보내기 + +![menu_export](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) + +이 메뉴는 모델 형식을 빠르게 변환하고 내보내는 기능을 제공합니다 + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3D/ko.md) diff --git a/ko/built-in-nodes/Preview3DAdvanced.mdx b/ko/built-in-nodes/Preview3DAdvanced.mdx new file mode 100644 index 000000000..d8549d3ec --- /dev/null +++ b/ko/built-in-nodes/Preview3DAdvanced.mdx @@ -0,0 +1,36 @@ +--- +title: "Preview3DAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Preview3DAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Preview3DAdvanced" +icon: "circle" +mode: wide +--- +# Preview 3D (고급) + +이 노드는 카메라 및 모델 정보 출력과 함께 고급 3D 모델 미리보기를 제공합니다. 3D 모델을 임시 파일로 저장하여 UI에 표시하며, 모델 데이터, 카메라 정보 및 뷰포트 크기를 다운스트림 처리를 위해 전달합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `model_3d` | 상위 3D 노드의 3D 모델 파일입니다. | FILE3D | 예 | GLB, GLTF, FBX, OBJ, STL, USDZ 또는 지원되는 모든 3D 형식 | +| `model_3d_info` | 선택적 모델 정보 메타데이터입니다. | LOAD3DMODELINFO | 아니요 | - | +| `viewport_state` | 카메라 및 모델 정보를 포함하는 현재 뷰포트 상태입니다. | LOAD3D | 예 | - | +| `camera_info` | 3D 뷰를 위한 선택적 카메라 구성입니다. | LOAD3DCAMERA | 아니요 | - | +| `width` | 미리보기의 너비(픽셀)입니다. | INT | 예 | 1 ~ 4096 (기본값: 1024) | +| `height` | 미리보기의 높이(픽셀)입니다. | INT | 예 | 1 ~ 4096 (기본값: 1024) | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `camera_info` | 입력에서 전달된 3D 모델 파일입니다. | FILE3D | +| `model_3d_info` | 입력 또는 뷰포트 상태에서 가져온 모델 정보 메타데이터입니다. | LOAD3DMODELINFO | +| `width` | 입력 또는 뷰포트 상태에서 가져온 카메라 구성입니다. | LOAD3DCAMERA | +| `height` | 미리보기의 너비(픽셀)입니다. | INT | +| `height` | 미리보기의 높이(픽셀)입니다. | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3DAdvanced/ko.md) + +--- +**Source fingerprint (SHA-256):** `7efe8720f88f7d6234387cd633ea629cbf43a0abea1a9aca6c5dcd43bf7f2145` diff --git a/ko/built-in-nodes/Preview3DAnimation.mdx b/ko/built-in-nodes/Preview3DAnimation.mdx new file mode 100644 index 000000000..7b9afe2a6 --- /dev/null +++ b/ko/built-in-nodes/Preview3DAnimation.mdx @@ -0,0 +1,112 @@ +--- +title: "Preview3DAnimation - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Preview3DAnimation node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Preview3DAnimation" +icon: "circle" +mode: wide +--- +# Preview3DAnimation 노드 + +Preview3DAnimation 노드는 주로 3D 모델 출력을 미리보기 위한 노드입니다. 이 노드는 두 가지 입력을 받습니다: 하나는 Load3D 노드의 `camera_info`이고, 다른 하나는 3D 모델 파일의 경로입니다. 모델 파일 경로는 `ComfyUI/output` 폴더에 위치해야 합니다. + +**지원 형식** +현재 이 노드는 `.gltf`, `.glb`, `.obj`, `.fbx`, `.stl`을 포함한 여러 3D 파일 형식을 지원합니다. + +**3D 노드 환경설정** +3D 노드와 관련된 일부 환경설정은 ComfyUI의 설정 메뉴에서 구성할 수 있습니다. 해당 설정에 대한 자세한 내용은 다음 문서를 참조하십시오: +[설정 메뉴](https://docs.comfy.org/interface/settings/3d) + +## 입력 + +| 매개변수 이름 | 설명 | 유형 | +| --- | --- | --- | +| camera_info | 카메라 정보 | LOAD3D_CAMERA | +| model_file | `ComfyUI/output/` 경로 아래의 모델 파일 | STRING | + +## 캔버스 영역 설명 + +현재 ComfyUI 프론트엔드의 3D 관련 노드는 동일한 캔버스 구성 요소를 공유하므로, 일부 기능적 차이를 제외하면 기본적인 조작 방식은 대부분 일치합니다. + +> 다음 내용과 인터페이스는 주로 Load3D 노드를 기준으로 합니다. 구체적인 기능은 실제 노드 인터페이스를 참조하십시오. + +캔버스 영역에는 다양한 뷰 조작 기능이 포함되어 있습니다: + +- 미리보기 뷰 설정(그리드, 배경색, 미리보기 뷰) +- 카메라 제어: FOV, 카메라 유형 +- 전역 조명 강도: 조명 조정 +- 모델 내보내기: `GLB`, `OBJ`, `STL` 형식 지원 +- 등 + +![Load 3D Node UI](/images/built-in-nodes/Preview3DAnimation/preview3d_canvas.jpg) + +1. Load 3D 노드의 여러 메뉴 및 숨겨진 메뉴 포함 +2. 3D 뷰 조작 축 + +### 1. 뷰 조작 + + + +뷰 제어 조작: + +- 왼쪽 클릭 + 드래그: 뷰 회전 +- 오른쪽 클릭 + 드래그: 뷰 이동 +- 마우스 휠 스크롤 또는 마우스 휠 클릭 + 드래그: 확대/축소 +- 좌표축: 뷰 전환 + +### 2. 왼쪽 메뉴 기능 + +![메뉴](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) + +미리보기 영역에서 일부 뷰 조작 메뉴는 메뉴에 숨겨져 있습니다. 메뉴 버튼을 클릭하여 다양한 메뉴를 펼칠 수 있습니다. + +- 1. 장면: 미리보기 창 그리드, 배경색, 썸네일 설정 포함 +- 2. 모델: 모델 렌더링 모드, 텍스처 재질, 위쪽 방향 설정 +- 3. 카메라: 직교 뷰와 원근 뷰 전환, 원근 각도 설정 +- 4. 조명: 장면 전역 조명 강도 +- 5. 내보내기: 모델을 다른 형식으로 내보내기(GLB, OBJ, STL) + +#### 장면 + +![장면 메뉴](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) + +장면 메뉴는 몇 가지 기본 장면 설정 기능을 제공합니다: + +1. 그리드 표시/숨기기 +2. 배경색 설정 +3. 배경 이미지 업로드 클릭 +4. 미리보기 썸네일 숨기기 + +#### 모델 + +![모델 메뉴](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) + +모델 메뉴는 모델 관련 기능을 제공합니다: + +1. **위쪽 방향**: 모델의 위쪽 방향이 될 축 지정 +2. **재질 모드**: 모델 렌더링 모드 전환 - 원본, 노멀, 와이어프레임, 라인아트 + +#### 카메라 + +![카메라 메뉴](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) + +이 메뉴는 직교 뷰와 원근 뷰 전환, 원근 각도 크기 설정을 제공합니다: + +1. **카메라**: 직교 뷰와 원근 뷰 간 빠른 전환 +2. **FOV**: FOV 각도 조정 + +#### 조명 + +![조명 메뉴](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) + +이 메뉴를 통해 장면의 전역 조명 강도를 빠르게 조정할 수 있습니다 + +#### 내보내기 + +![내보내기 메뉴](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) + +이 메뉴는 모델 형식을 빠르게 변환하고 내보내는 기능을 제공합니다 + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3DAnimation/ko.md) diff --git a/ko/built-in-nodes/PreviewAny.mdx b/ko/built-in-nodes/PreviewAny.mdx new file mode 100644 index 000000000..ebc71628e --- /dev/null +++ b/ko/built-in-nodes/PreviewAny.mdx @@ -0,0 +1,23 @@ +--- +title: "PreviewAny - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PreviewAny node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PreviewAny" +icon: "circle" +mode: wide +--- +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `소스` | 미리보기 표시를 위해 모든 입력 데이터 타입을 수용합니다 | ANY | 예 | 모든 데이터 타입 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `UI 텍스트 표시` | 입력 데이터를 텍스트 형식으로 변환하여 사용자 인터페이스에 표시합니다. 또한 추가 처리를 위해 텍스트를 문자열 출력으로 반환합니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAny/ko.md) + +--- +**Source fingerprint (SHA-256):** `6011c39a31ef9a6786a1dff6e135edcf35def2f715b49301dd49a6467f859271` diff --git a/ko/built-in-nodes/PreviewAudio.mdx b/ko/built-in-nodes/PreviewAudio.mdx new file mode 100644 index 000000000..3ba462db2 --- /dev/null +++ b/ko/built-in-nodes/PreviewAudio.mdx @@ -0,0 +1,27 @@ +--- +title: "PreviewAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PreviewAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PreviewAudio" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAudio/en.md) + +PreviewAudio 노드는 인터페이스에서 직접 재생할 수 있는 임시 오디오 미리보기를 생성합니다. 오디오 데이터를 입력으로 받아 미리보기 위젯을 생성하며, 사용자가 영구 파일을 저장하지 않고도 오디오 출력을 들을 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `오디오` | 미리보기할 오디오 데이터 | AUDIO | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `ui` | 오디오 미리보기를 위해 인터페이스에 오디오 플레이어 위젯을 표시합니다 | UI | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `3f4b38e9768abde9d7f406c5442660679b80532799dfff8af20b2ea178268582` diff --git a/ko/built-in-nodes/PreviewGaussianSplat.mdx b/ko/built-in-nodes/PreviewGaussianSplat.mdx new file mode 100644 index 000000000..cdd6712b9 --- /dev/null +++ b/ko/built-in-nodes/PreviewGaussianSplat.mdx @@ -0,0 +1,36 @@ +--- +title: "PreviewGaussianSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PreviewGaussianSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PreviewGaussianSplat" +icon: "circle" +mode: wide +--- +# PreviewGaussianSplat + +PreviewGaussianSplat 노드를 사용하면 ComfyUI 인터페이스 내에서 3D 가우시안 스플랫 파일을 미리 볼 수 있습니다. 다양한 가우시안 스플랫 형식의 3D 모델 파일을 입력받아 3D 미리보기 창에서 렌더링하며, 모델 데이터를 그대로 전달하여 추가 처리가 가능하도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `model_3d` | 가우시안 스플랫 3D 파일입니다. | FILE3D | 예 | 지원 형식: splat, ply, spz, ksplat | +| `model_3d_info` | 3D 모델에 대한 선택적 메타데이터 정보입니다. | LOAD3DMODELINFO | 아니오 | - | +| `viewport_state` | 카메라 및 모델 정보를 포함한 3D 뷰포트의 현재 상태입니다. | LOAD3D | 예 | - | +| `camera_info` | 미리보기를 위한 선택적 카메라 정보입니다. | LOAD3DCAMERA | 아니오 | - | +| `width` | 미리보기 렌더링의 너비(픽셀 단위, 기본값: 1024)입니다. | INT | 예 | 1 ~ 4096 | +| `height` | 미리보기 렌더링의 높이(픽셀 단위, 기본값: 1024)입니다. | INT | 예 | 1 ~ 4096 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `model_3d` | 변경 없이 그대로 전달된 입력 3D 가우시안 스플랫 파일입니다. | FILE3D | +| `model_3d_info` | 입력에서 가져오거나 뷰포트 상태에서 파생된 3D 모델의 메타데이터 정보입니다. | LOAD3DMODELINFO | +| `camera_info` | 입력에서 가져오거나 뷰포트 상태에서 파생된 미리보기용 카메라 정보입니다. | LOAD3DCAMERA | +| `width` | 미리보기 렌더링의 너비입니다. | INT | +| `height` | 미리보기 렌더링의 높이입니다. | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewGaussianSplat/ko.md) + +--- +**Source fingerprint (SHA-256):** `7b79e9ab25858e7db6e999313cc11226895aeb4d7fee414f56f0d5fd2363b485` diff --git a/ko/built-in-nodes/PreviewImage.mdx b/ko/built-in-nodes/PreviewImage.mdx new file mode 100644 index 000000000..7727700fb --- /dev/null +++ b/ko/built-in-nodes/PreviewImage.mdx @@ -0,0 +1,20 @@ +--- +title: "PreviewImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PreviewImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PreviewImage" +icon: "circle" +mode: wide +--- +PreviewImage 노드는 임시 미리보기 이미지를 생성하기 위해 설계되었습니다. 각 이미지에 대해 고유한 임시 파일 이름을 자동으로 생성하고, 이미지를 지정된 수준으로 압축한 후 임시 디렉터리에 저장합니다. 이 기능은 원본 파일에 영향을 주지 않고 처리 중인 이미지의 미리보기를 생성하는 데 특히 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 'images' 입력은 처리되어 임시 미리보기 이미지로 저장될 이미지를 지정합니다. 이는 노드의 기본 입력으로, 미리보기 생성 과정을 거칠 이미지를 결정합니다. | `IMAGE` | + +## 출력 + +이 노드는 출력 유형이 없습니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewImage/ko.md) diff --git a/ko/built-in-nodes/PreviewPointCloud.mdx b/ko/built-in-nodes/PreviewPointCloud.mdx new file mode 100644 index 000000000..836b70faa --- /dev/null +++ b/ko/built-in-nodes/PreviewPointCloud.mdx @@ -0,0 +1,36 @@ +--- +title: "PreviewPointCloud - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PreviewPointCloud node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PreviewPointCloud" +icon: "circle" +mode: wide +--- +# 포인트 클라우드 미리보기 + +Preview Point Cloud 노드는 ComfyUI 인터페이스 내에서 3D 포인트 클라우드 파일을 볼 수 있도록 합니다. 포인트 클라우드를 임시 파일로 저장하고 3D 미리보기 창에 표시하며, 모델 데이터와 뷰포트 설정을 추가 처리할 수 있도록 전달합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|---------|------|------------|------|------| +| `model_3d` | 포인트 클라우드 파일(.ply) | FILE3D | 예 | - | +| `model_3d_info` | 3D 모델에 대한 정보 | LOAD3DMODELINFO | 아니요 | - | +| `viewport_state` | 현재 뷰포트 상태 | LOAD3D | 예 | - | +| `camera_info` | 3D 뷰를 위한 카메라 정보 | LOAD3DCAMERA | 아니요 | - | +| `width` | 미리보기 창의 너비(기본값: 1024) | INT | 예 | 1 ~ 4096 | +| `height` | 미리보기 창의 높이(기본값: 1024) | INT | 예 | 1 ~ 4096 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-----------|------|------------| +| `model_3d` | 포인트 클라우드 모델 데이터 | FILE3D | +| `model_3d_info` | 3D 모델에 대한 정보 | LOAD3DMODELINFO | +| `camera_info` | 3D 뷰를 위한 카메라 정보 | LOAD3DCAMERA | +| `width` | 미리보기 창의 너비 | INT | +| `height` | 미리보기 창의 높이 | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewPointCloud/ko.md) + +--- +**Source fingerprint (SHA-256):** `f3121511841d1962aad881c0ac5b93f24842bf4810e84fe241330e9eab90334a` diff --git a/ko/built-in-nodes/PrimitiveBoolean.mdx b/ko/built-in-nodes/PrimitiveBoolean.mdx new file mode 100644 index 000000000..dca036dee --- /dev/null +++ b/ko/built-in-nodes/PrimitiveBoolean.mdx @@ -0,0 +1,25 @@ +--- +title: "PrimitiveBoolean - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PrimitiveBoolean node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PrimitiveBoolean" +icon: "circle" +mode: wide +--- +Boolean 노드는 워크플로우에서 부울(true/false) 값을 전달하는 간단한 방법을 제공합니다. 부울 입력값을 받아 변경 없이 동일한 값을 출력함으로써, 다른 노드의 부울 매개변수를 제어할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `값` | 노드를 통해 전달할 부울 값입니다. | BOOLEAN | 예 | true
false | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력으로 제공된 것과 동일한 부울 값입니다. | BOOLEAN | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoolean/ko.md) + +--- +**Source fingerprint (SHA-256):** `3913c2e23480710c9c9f003538b89ed0ab73cb4b47c587c5bf884b9c666999e0` diff --git a/ko/built-in-nodes/PrimitiveBoundingBox.mdx b/ko/built-in-nodes/PrimitiveBoundingBox.mdx new file mode 100644 index 000000000..a1db25411 --- /dev/null +++ b/ko/built-in-nodes/PrimitiveBoundingBox.mdx @@ -0,0 +1,28 @@ +--- +title: "PrimitiveBoundingBox - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PrimitiveBoundingBox node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PrimitiveBoundingBox" +icon: "circle" +mode: wide +--- +PrimitiveBoundingBox 노드는 위치와 크기로 정의된 단순한 사각형 영역을 생성합니다. 상단-왼쪽 모서리의 X 및 Y 좌표와 너비 및 높이 값을 입력받아, 워크플로우의 다른 노드에서 사용할 수 있는 경계 상자 데이터 구조를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `x` | 경계 상자 상단-왼쪽 모서리의 X 좌표입니다 (기본값: 0). | INT | 예 | 0 ~ 8192 | +| `y` | 경계 상자 상단-왼쪽 모서리의 Y 좌표입니다 (기본값: 0). | INT | 예 | 0 ~ 8192 | +| `너비` | 경계 상자의 너비입니다 (기본값: 512). | INT | 예 | 1 ~ 8192 | +| `높이` | 경계 상자의 높이입니다 (기본값: 512). | INT | 예 | 1 ~ 8192 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `bounding_box` | 정의된 사각형의 `x`, `y`, `너비`, `높이` 속성을 포함하는 데이터 구조입니다. | BOUNDING_BOX | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoundingBox/ko.md) + +--- +**Source fingerprint (SHA-256):** `715f1a2bd650ecd6ba2ea3c1d54636bc32dff4fb4aec8f088ee9b0994809412c` diff --git a/ko/built-in-nodes/PrimitiveFloat.mdx b/ko/built-in-nodes/PrimitiveFloat.mdx new file mode 100644 index 000000000..bf7928f5d --- /dev/null +++ b/ko/built-in-nodes/PrimitiveFloat.mdx @@ -0,0 +1,25 @@ +--- +title: "PrimitiveFloat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PrimitiveFloat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PrimitiveFloat" +icon: "circle" +mode: wide +--- +PrimitiveFloat 노드는 워크플로우에서 사용할 수 있는 부동소수점 숫자 값을 생성합니다. 단일 숫자 입력을 받아 동일한 값을 출력하므로, ComfyUI 파이프라인의 여러 노드 간에 float 값을 정의하고 전달할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `값` | 출력할 부동소수점 숫자 값입니다 (기본값: 0.0) | FLOAT | 예 | -sys.maxsize ~ sys.maxsize (단계: 0.1) | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력된 부동소수점 숫자 값입니다 | FLOAT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveFloat/ko.md) + +--- +**Source fingerprint (SHA-256):** `a12473ac0efac903249f249770bec92a562b1ef6dede45fc0296e0e397a0754f` diff --git a/ko/built-in-nodes/PrimitiveInt.mdx b/ko/built-in-nodes/PrimitiveInt.mdx new file mode 100644 index 000000000..40c99c8f1 --- /dev/null +++ b/ko/built-in-nodes/PrimitiveInt.mdx @@ -0,0 +1,25 @@ +--- +title: "PrimitiveInt - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PrimitiveInt node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PrimitiveInt" +icon: "circle" +mode: wide +--- +PrimitiveInt 노드는 워크플로우에서 정수 값을 간편하게 사용할 수 있는 방법을 제공합니다. 정수 입력을 받아 동일한 값을 출력하므로, 노드 간에 정수 매개변수를 전달하거나 다른 작업을 위한 특정 숫자 값을 설정하는 데 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `값` | 출력할 정수 값 (기본값: 0) | INT | 예 | -9223372036854775807 ~ 9223372036854775807 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 변경 없이 그대로 전달된 입력 정수 값 | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveInt/ko.md) + +--- +**Source fingerprint (SHA-256):** `13b5ff6703498fd37ae48d574e010cf78aa2bfc514b68c34b2cf6740ed75c834` diff --git a/ko/built-in-nodes/PrimitiveString.mdx b/ko/built-in-nodes/PrimitiveString.mdx new file mode 100644 index 000000000..7b2db0e8f --- /dev/null +++ b/ko/built-in-nodes/PrimitiveString.mdx @@ -0,0 +1,27 @@ +--- +title: "PrimitiveString - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PrimitiveString node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PrimitiveString" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveString/en.md) + +String 노드는 워크플로우에서 텍스트 데이터를 간편하게 입력하고 전달할 수 있는 방법을 제공합니다. 텍스트 문자열을 입력받아 변경 없이 동일한 문자열을 출력하므로, 문자열 매개변수가 필요한 다른 노드에 텍스트 입력을 제공하는 데 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `값` | 노드를 통해 전달할 텍스트 문자열입니다. | STRING | 예 | 모든 텍스트 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력으로 제공된 동일한 텍스트 문자열입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveString/ko.md) + +--- +**Source fingerprint (SHA-256):** `eb99ed1b8572c0d28df7185d64a35dc71488459dcd11a46f81c5a1f202b25d62` diff --git a/ko/built-in-nodes/PrimitiveStringMultiline.mdx b/ko/built-in-nodes/PrimitiveStringMultiline.mdx new file mode 100644 index 000000000..8bf0de782 --- /dev/null +++ b/ko/built-in-nodes/PrimitiveStringMultiline.mdx @@ -0,0 +1,25 @@ +--- +title: "PrimitiveStringMultiline - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PrimitiveStringMultiline node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PrimitiveStringMultiline" +icon: "circle" +mode: wide +--- +PrimitiveStringMultiline 노드는 여러 줄의 텍스트 입력 필드를 제공하여 워크플로우에서 문자열 값을 입력하고 전달할 수 있도록 합니다. 이 노드는 여러 줄에 걸친 텍스트 입력을 받아들이고, 동일한 문자열 값을 변경 없이 출력합니다. 긴 텍스트 콘텐츠나 여러 줄로 구성된 서식 있는 텍스트를 입력해야 할 때 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `값` | 여러 줄에 걸칠 수 있는 텍스트 입력 값 | STRING | 예 | 해당 없음 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력으로 제공된 동일한 문자열 값 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveStringMultiline/ko.md) + +--- +**Source fingerprint (SHA-256):** `a2faaf366d6316d659b749ec6077b944f9b0f1ad702d699acc3897aef842b937` diff --git a/ko/built-in-nodes/QuadrupleCLIPLoader.mdx b/ko/built-in-nodes/QuadrupleCLIPLoader.mdx new file mode 100644 index 000000000..f618d5a29 --- /dev/null +++ b/ko/built-in-nodes/QuadrupleCLIPLoader.mdx @@ -0,0 +1,16 @@ +--- +title: "QuadrupleCLIPLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the QuadrupleCLIPLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "QuadrupleCLIPLoader" +icon: "circle" +mode: wide +--- +# Quadruple CLIP Loader (쿼드러플 CLIP 로더) + +QuadrupleCLIPLoader는 ComfyUI의 핵심 노드 중 하나로, HiDream I1 버전 모델을 지원하기 위해 처음 추가되었습니다. 이 노드가 누락된 경우 ComfyUI를 최신 버전으로 업데이트하여 노드 지원을 확인하시기 바랍니다. + +이 노드는 4개의 CLIP 모델을 필요로 하며, 각각 `clip_name1`, `clip_name2`, `clip_name3`, `clip_name4` 매개변수에 해당합니다. 이후 노드에서 사용할 CLIP 모델 출력을 제공합니다. + +이 노드는 `ComfyUI/models/text_encoders` 폴더에 위치한 모델을 감지하며, extra_model_paths.yaml 파일에 구성된 추가 경로의 모델도 읽어옵니다. 모델을 추가한 후에는 해당 폴더의 모델 파일을 읽을 수 있도록 **ComfyUI 인터페이스를 다시 로드**해야 할 수 있습니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuadrupleCLIPLoader/ko.md) diff --git a/ko/built-in-nodes/QuiverImageToSVGNode.mdx b/ko/built-in-nodes/QuiverImageToSVGNode.mdx new file mode 100644 index 000000000..74209049d --- /dev/null +++ b/ko/built-in-nodes/QuiverImageToSVGNode.mdx @@ -0,0 +1,30 @@ +--- +title: "QuiverImageToSVGNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the QuiverImageToSVGNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "QuiverImageToSVGNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverImageToSVGNode/en.md) + +이 노드는 Quiver AI의 벡터화 모델을 사용하여 래스터 이미지를 확장 가능한 벡터 그래픽(SVG)으로 변환합니다. 이미지를 외부 API로 전송하여 처리한 후 벡터화된 결과를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 벡터화할 입력 이미지입니다. | IMAGE | 예 | 해당 없음 | +| `auto_crop` | 주요 피사체를 기준으로 자동으로 자릅니다. 고급 매개변수입니다(기본값: `False`). | BOOLEAN | 아니요 | `True`
`False` | +| `model` | SVG 벡터화에 사용할 모델입니다. 모델을 선택하면 해당 모델에 특화된 추가 매개변수가 표시됩니다: `target_size`(픽셀 단위 정사각형 크기 조정 목표, 기본값: 1024, 범위: 128-4096), `temperature`, `top_p`, `presence_penalty`. | DYNAMICCOMBO | 예 | 여러 옵션 사용 가능 | +| `seed` | 노드 재실행 여부를 결정하는 시드입니다. 시드 값과 관계없이 실제 결과는 비결정적입니다. 이 매개변수는 "생성 후 제어" 기능이 있습니다(기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `SVG` | 벡터화된 SVG 출력입니다. | SVG | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverImageToSVGNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `4539277fd6c23aef149c44eeafca4d373cad658d85872de0883245eb4f2479e8` diff --git a/ko/built-in-nodes/QuiverTextToSVGNode.mdx b/ko/built-in-nodes/QuiverTextToSVGNode.mdx new file mode 100644 index 000000000..1a260573d --- /dev/null +++ b/ko/built-in-nodes/QuiverTextToSVGNode.mdx @@ -0,0 +1,33 @@ +--- +title: "QuiverTextToSVGNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the QuiverTextToSVGNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "QuiverTextToSVGNode" +icon: "circle" +mode: wide +--- +# Quiver Text to SVG 노드 + +Quiver Text to SVG 노드는 Quiver AI의 모델을 사용하여 텍스트 설명으로부터 확장 가능한 벡터 그래픽(SVG) 이미지를 생성합니다. 필요에 따라 참조 이미지와 스타일 지침을 제공하여 생성 과정을 안내할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 생성하려는 SVG 출력에 대한 텍스트 설명입니다. 무엇을 생성할지에 대한 주요 지침입니다. | STRING | 예 | 해당 없음 | +| `instructions` | 추가 스타일 또는 형식 지정 지침입니다. 선택적인 고급 매개변수입니다. | STRING | 아니요 | 해당 없음 | +| `reference_images` | 생성을 안내할 최대 4개의 참조 이미지입니다. 선택적 입력입니다. | IMAGE | 아니요 | 0~4개 이미지 | +| `model` | SVG 생성에 사용할 모델입니다. 사용 가능한 옵션은 Quiver API에 의해 결정됩니다. | COMBO | 예 | `"Quiver SVG v1"`
`"Quiver SVG v1 Max"`
`"Quiver SVG v1 Preview"` | +| `seed` | 노드 재실행 여부를 결정하는 시드입니다. 시드와 관계없이 실제 결과는 비결정적입니다. 기본값: 0. | INT | 예 | 0~2147483647 | + +**참고:** `reference_images` 입력은 최대 4개의 이미지만 허용합니다. 그 이상을 제공하면 노드에서 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `SVG` | 생성된 확장 가능한 벡터 그래픽(SVG) 이미지입니다. | SVG | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverTextToSVGNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `634758797a59e5a409424deee808e1d8b5b5852a86eac4bccd7f2634a19fb743` diff --git a/ko/built-in-nodes/QwenImageDiffsynthControlnet.mdx b/ko/built-in-nodes/QwenImageDiffsynthControlnet.mdx new file mode 100644 index 000000000..6133d5fc6 --- /dev/null +++ b/ko/built-in-nodes/QwenImageDiffsynthControlnet.mdx @@ -0,0 +1,34 @@ +--- +title: "QwenImageDiffsynthControlnet - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the QwenImageDiffsynthControlnet node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "QwenImageDiffsynthControlnet" +icon: "circle" +mode: wide +--- +# QwenImageDiffsynthControlnet 노드 + +QwenImageDiffsynthControlnet 노드는 확산 합성 제어 네트워크 패치를 적용하여 기본 모델의 동작을 수정합니다. 이미지 입력과 선택적 마스크를 사용하여 조정 가능한 강도로 모델의 생성 과정을 안내하며, 제어 네트워크의 영향을 통합한 패치된 모델을 생성하여 보다 제어된 이미지 합성을 가능하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 제어 네트워크로 패치할 기본 모델 | MODEL | 예 | - | +| `모델 패치` | 기본 모델에 적용할 제어 네트워크 패치 모델 | MODEL_PATCH | 예 | - | +| `VAE` | 확산 과정에서 사용되는 VAE(변분 오토인코더) | VAE | 예 | - | +| `이미지` | 제어 네트워크를 안내하는 데 사용되는 입력 이미지(RGB 채널만 사용됨) | IMAGE | 예 | - | +| `강도` | 제어 네트워크 영향의 강도(기본값: 1.0) | FLOAT | 예 | -10.0 ~ 10.0 | +| `마스크` | 제어 네트워크를 적용할 영역을 정의하는 선택적 마스크(내부적으로 반전됨) | MASK | 아니요 | - | + +**참고:** 마스크가 제공되면 자동으로 반전(1.0 - 마스크)되어 제어 네트워크 처리에 필요한 차원에 맞게 형태가 조정됩니다. 이 노드는 모델 패치가 ZImage Control 유형인지 표준 DiffSynth 제어 네트워크인지에 따라 서로 다른 내부 처리 방식을 사용합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 확산 합성 제어 네트워크 패치가 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QwenImageDiffsynthControlnet/ko.md) + +--- +**Source fingerprint (SHA-256):** `61833984d0b92be65fae72a894806572c0588dea74a295e8289d1194dee611bb` diff --git a/ko/built-in-nodes/RTDETR_detect.mdx b/ko/built-in-nodes/RTDETR_detect.mdx new file mode 100644 index 000000000..91462a50e --- /dev/null +++ b/ko/built-in-nodes/RTDETR_detect.mdx @@ -0,0 +1,29 @@ +--- +title: "RTDETR_detect - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RTDETR_detect node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RTDETR_detect" +icon: "circle" +mode: wide +--- +RT-DETR 탐지 노드는 RT-DETR 모델을 사용하여 입력 이미지에서 객체 탐지를 수행합니다. 객체를 식별하고, 주변에 경계 상자를 그린 후 COCO 데이터셋 클래스에 따라 레이블을 지정합니다. 신뢰도 점수, 객체 클래스별로 결과를 필터링할 수 있으며, 탐지 결과의 총 개수를 제한할 수도 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 객체 탐지에 사용되는 RT-DETR 모델입니다. | MODEL | 예 | 해당 없음 | +| `image` | 객체를 탐지할 입력 이미지입니다. 노드는 최대 32개까지 배치로 이미지를 처리합니다. | IMAGE | 예 | 해당 없음 | +| `threshold` | 결과에 포함되기 위해 탐지 결과가 가져야 하는 최소 신뢰도 점수입니다(기본값: 0.5). | FLOAT | 아니요 | 해당 없음 | +| `class_name` | 클래스별로 탐지 결과를 필터링합니다. 'all'로 설정하면 필터링이 비활성화됩니다(기본값: "all"). | COMBO | 아니요 | `"all"`
`"person"`
`"bicycle"`
`"car"`
`"motorcycle"`
`"airplane"`
`"bus"`
`"train"`
`"truck"`
`"boat"`
`"traffic light"`
`"fire hydrant"`
`"stop sign"`
`"parking meter"`
`"bench"`
`"bird"`
`"cat"`
`"dog"`
`"horse"`
`"sheep"`
`"cow"`
`"elephant"`
`"bear"`
`"zebra"`
`"giraffe"`
`"backpack"`
`"umbrella"`
`"handbag"`
`"tie"`
`"suitcase"`
`"frisbee"`
`"skis"`
`"snowboard"`
`"sports ball"`
`"kite"`
`"baseball bat"`
`"baseball glove"`
`"skateboard"`
`"surfboard"`
`"tennis racket"`
`"bottle"`
`"wine glass"`
`"cup"`
`"fork"`
`"knife"`
`"spoon"`
`"bowl"`
`"banana"`
`"apple"`
`"sandwich"`
`"orange"`
`"broccoli"`
`"carrot"`
`"hot dog"`
`"pizza"`
`"donut"`
`"cake"`
`"chair"`
`"couch"`
`"potted plant"`
`"bed"`
`"dining table"`
`"toilet"`
`"tv"`
`"laptop"`
`"mouse"`
`"remote"`
`"keyboard"`
`"cell phone"`
`"microwave"`
`"oven"`
`"toaster"`
`"sink"`
`"refrigerator"`
`"book"`
`"clock"`
`"vase"`
`"scissors"`
`"teddy bear"`
`"hair drier"`
`"toothbrush"` | +| `max_detections` | 이미지당 반환할 최대 탐지 결과 개수입니다. 신뢰도 점수가 높은 순서대로 반환됩니다(기본값: 100). | INT | 아니요 | 해당 없음 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `bboxes` | 각 입력 이미지에 대한 경계 상자 목록입니다. 각 상자에는 좌표(x, y, 너비, 높이), 클래스 레이블 및 신뢰도 점수가 포함됩니다. | BOUNDINGBOX | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RTDETR_detect/ko.md) + +--- +**Source fingerprint (SHA-256):** `0c32aa9e17b8ea81e52cb45df2a40f7c1faeb39fdf18dfc643d1d31ed0bfdefd` diff --git a/ko/built-in-nodes/RandomCropImages.mdx b/ko/built-in-nodes/RandomCropImages.mdx new file mode 100644 index 000000000..90ebc3fc8 --- /dev/null +++ b/ko/built-in-nodes/RandomCropImages.mdx @@ -0,0 +1,32 @@ +--- +title: "RandomCropImages - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RandomCropImages node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RandomCropImages" +icon: "circle" +mode: wide +--- +**Random Crop Images 노드** + +Random Crop Images 노드는 각 입력 이미지에서 무작위로 직사각형 영역을 선택하여 지정된 너비와 높이로 자릅니다. 이는 주로 데이터 증강을 위해 사용되어 학습 이미지의 변형을 생성합니다. 자르기 위치는 시드 값에 의해 결정되므로 동일한 자르기를 재현할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 자를 이미지입니다. | IMAGE | 예 | - | +| `width` | 자르기 영역의 너비입니다 (기본값: 512). | INT | 아니요 | 1 - 8192 | +| `height` | 자르기 영역의 높이입니다 (기본값: 512). | INT | 아니요 | 1 - 8192 | +| `seed` | 자르기 위치의 무작위성을 제어하는 데 사용되는 숫자입니다 (기본값: 0). | INT | 아니요 | 0 - 18446744073709551615 | + +**참고:** `width` 및 `height` 매개변수는 입력 이미지의 크기보다 작거나 같아야 합니다. 지정된 크기가 이미지보다 큰 경우 자르기는 이미지 경계로 제한됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 무작위 자르기가 적용된 결과 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomCropImages/ko.md) + +--- +**Source fingerprint (SHA-256):** `bc4aca8cc63bde28fee906a92463b73436ba48ba69d7c1ff13881ac900e252a8` diff --git a/ko/built-in-nodes/RandomNoise.mdx b/ko/built-in-nodes/RandomNoise.mdx new file mode 100644 index 000000000..d50d339d6 --- /dev/null +++ b/ko/built-in-nodes/RandomNoise.mdx @@ -0,0 +1,25 @@ +--- +title: "RandomNoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RandomNoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RandomNoise" +icon: "circle" +mode: wide +--- +RandomNoise 노드는 시드 값을 기반으로 무작위 노이즈 패턴을 생성합니다. 이 노드는 다양한 이미지 처리 및 생성 작업에 사용할 수 있는 재현 가능한 노이즈를 생성합니다. 동일한 시드는 항상 동일한 노이즈 패턴을 생성하므로 여러 번 실행해도 일관된 결과를 얻을 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `노이즈 시드` | 무작위 노이즈 패턴을 생성하는 데 사용되는 시드 값입니다(기본값: 0). 동일한 시드는 항상 동일한 노이즈 출력을 생성합니다. | INT | 예 | 0 ~ 18446744073709551615 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `noise` | 제공된 시드 값을 기반으로 생성된 무작위 노이즈 패턴입니다. | NOISE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomNoise/ko.md) + +--- +**Source fingerprint (SHA-256):** `893d3eefdef78592ba3cc403ec1e4bf3a672607abe79f05db1b65078d6b9ea20` diff --git a/ko/built-in-nodes/RebatchImages.mdx b/ko/built-in-nodes/RebatchImages.mdx new file mode 100644 index 000000000..3d81908a7 --- /dev/null +++ b/ko/built-in-nodes/RebatchImages.mdx @@ -0,0 +1,25 @@ +--- +title: "RebatchImages - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RebatchImages node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RebatchImages" +icon: "circle" +mode: wide +--- +## 개요 + +RebatchImages 노드는 이미지 배치를 새로운 배치 구성으로 재구성하여 지정된 배치 크기에 맞게 조정하도록 설계되었습니다. 이 프로세스는 배치 작업에서 이미지 데이터 처리를 관리하고 최적화하는 데 필수적이며, 효율적인 처리를 위해 원하는 배치 크기에 따라 이미지를 그룹화합니다. + +## 입력 + +| 필드 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 재배치할 이미지 목록입니다. 이 매개변수는 재배치 프로세스를 거칠 입력 데이터를 결정하는 데 중요합니다. | `IMAGE` | +| `배치 크기` | 출력 배치의 원하는 크기를 지정합니다. 이 매개변수는 입력 이미지가 그룹화되고 처리되는 방식에 직접적인 영향을 미치며, 출력 구조에 영향을 줍니다. | `INT` | + +## 출력 + +| 필드 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 출력은 지정된 배치 크기에 따라 재구성된 이미지 배치 목록으로 구성됩니다. 이를 통해 배치 작업에서 이미지 데이터를 유연하고 효율적으로 처리할 수 있습니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RebatchImages/ko.md) diff --git a/ko/built-in-nodes/RebatchLatents.mdx b/ko/built-in-nodes/RebatchLatents.mdx new file mode 100644 index 000000000..8029ea859 --- /dev/null +++ b/ko/built-in-nodes/RebatchLatents.mdx @@ -0,0 +1,25 @@ +--- +title: "RebatchLatents - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RebatchLatents node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RebatchLatents" +icon: "circle" +mode: wide +--- +## 개요 + +RebatchLatents 노드는 지정된 배치 크기에 따라 잠재 표현들의 배치를 새로운 배치 구성으로 재구성합니다. 잠재 샘플들이 적절하게 그룹화되도록 하여 차원과 크기의 변동을 처리하며, 추가 처리나 모델 추론을 용이하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 데이터` | 'latents' 매개변수는 재배치할 입력 잠재 표현을 나타냅니다. 출력 배치의 구조와 내용을 결정하는 데 중요합니다. | `LATENT` | +| `배치 크기` | 'batch_size' 매개변수는 출력에서 배치당 원하는 샘플 수를 지정합니다. 입력 잠재 표현들을 새로운 배치로 그룹화하고 분할하는 방식에 직접적인 영향을 미칩니다. | `INT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 출력은 지정된 배치 크기에 따라 조정된 재구성된 잠재 표현 배치입니다. 추가 처리나 분석을 용이하게 합니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RebatchLatents/ko.md) diff --git a/ko/built-in-nodes/RecordAudio.mdx b/ko/built-in-nodes/RecordAudio.mdx new file mode 100644 index 000000000..a1cc39ed2 --- /dev/null +++ b/ko/built-in-nodes/RecordAudio.mdx @@ -0,0 +1,25 @@ +--- +title: "RecordAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecordAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecordAudio" +icon: "circle" +mode: wide +--- +RecordAudio 노드는 오디오 녹음 인터페이스를 통해 녹음되거나 선택된 오디오 파일을 불러옵니다. 이 노드는 오디오 파일을 처리하여 워크플로우의 다른 오디오 처리 노드에서 사용할 수 있는 파형 형식으로 변환합니다. 샘플 속도를 자동으로 감지하고 추가 조작을 위해 오디오 데이터를 준비합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `오디오` | 오디오 녹음 인터페이스의 오디오 녹음 입력 | AUDIO_RECORD | 예 | 해당 없음 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `AUDIO` | 파형 및 샘플 속도 정보를 포함하는 처리된 오디오 데이터 | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecordAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `3648f3c71f60f69e9ca117e25e9706187470866a1869ba9b8e5feceb42a7493a` diff --git a/ko/built-in-nodes/RecraftColorRGB.mdx b/ko/built-in-nodes/RecraftColorRGB.mdx new file mode 100644 index 000000000..ae083306e --- /dev/null +++ b/ko/built-in-nodes/RecraftColorRGB.mdx @@ -0,0 +1,28 @@ +--- +title: "RecraftColorRGB - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftColorRGB node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftColorRGB" +icon: "circle" +mode: wide +--- +개별 빨간색, 녹색, 파란색 값을 지정하여 Recraft 색상을 생성합니다. 이 노드는 RGB 정수 값(0-255)을 입력받아 다른 Recraft 작업에서 사용할 수 있는 Recraft 색상 형식으로 변환합니다. 또한 기존 Recraft 색상 체인을 선택적으로 제공하여 새 색상으로 확장할 수도 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `r` | 색상의 빨간색 값(기본값: 0) | INT | 예 | 0-255 | +| `g` | 색상의 녹색 값(기본값: 0) | INT | 예 | 0-255 | +| `b` | 색상의 파란색 값(기본값: 0) | INT | 예 | 0-255 | +| `recraft 색` | 새 RGB 색상으로 확장할 선택적 기존 Recraft 색상 체인 | COLOR | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `recraft 색` | 지정된 RGB 값을 포함하여 생성된 Recraft 색상 객체, 또는 기존 색상 체인이 제공된 경우 확장된 색상 체인 | COLOR | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftColorRGB/ko.md) + +--- +**Source fingerprint (SHA-256):** `8c3503632d085fa4c1771f92f17008b7b051e9604d9e7d1e7d352cbbbd22dddc` diff --git a/ko/built-in-nodes/RecraftControls.mdx b/ko/built-in-nodes/RecraftControls.mdx new file mode 100644 index 000000000..2129ca93a --- /dev/null +++ b/ko/built-in-nodes/RecraftControls.mdx @@ -0,0 +1,32 @@ +--- +title: "RecraftControls - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftControls node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftControls" +icon: "circle" +mode: wide +--- +다음은 요청하신 번역 결과입니다. + +--- + +## 개요 + +Recraft 생성을 사용자 정의하기 위한 Recraft 컨트롤을 생성합니다. 이 노드를 사용하면 Recraft 이미지 생성 과정에서 사용될 색상 설정을 구성할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `색상` | 주요 요소의 색상 설정 | COLOR | 아니요 | - | +| `배경색` | 배경 색상 설정 | COLOR | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `recraft_controls` | 색상 설정이 포함된 구성된 Recraft 컨트롤 | CONTROLS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftControls/ko.md) + +--- +**Source fingerprint (SHA-256):** `47d9640ca3a60250b25a7f6fa96367716db50a667ff4b2bb8d47ceb962420152` diff --git a/ko/built-in-nodes/RecraftCreateStyleNode.mdx b/ko/built-in-nodes/RecraftCreateStyleNode.mdx new file mode 100644 index 000000000..bedb69e01 --- /dev/null +++ b/ko/built-in-nodes/RecraftCreateStyleNode.mdx @@ -0,0 +1,30 @@ +--- +title: "RecraftCreateStyleNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftCreateStyleNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftCreateStyleNode" +icon: "circle" +mode: wide +--- +이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md) + +이 노드는 참조 이미지를 업로드하여 이미지 생성을 위한 사용자 정의 스타일을 생성합니다. 새 스타일을 정의하기 위해 1~5개의 이미지를 업로드할 수 있으며, 노드는 다른 Recraft 노드에서 사용할 수 있는 고유한 스타일 ID를 반환합니다. 업로드된 모든 이미지의 총 파일 크기는 5MB를 초과할 수 없습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `스타일` | 생성된 이미지의 기본 스타일입니다. | STRING | 예 | `"realistic_image"`
`"digital_illustration"` | +| `이미지` | 사용자 정의 스타일을 만드는 데 사용되는 1~5개의 참조 이미지 세트입니다. | IMAGE | 예 | 1~5개 이미지 | + +**참고:** `images` 입력의 모든 이미지 총 파일 크기는 5MB 미만이어야 합니다. 이 제한을 초과하면 노드가 실패합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `style_id` | 새로 생성된 사용자 정의 스타일의 고유 식별자입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreateStyleNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `36340e64d90b3edbbecedf15ac123adaabb5bc0c950183d2df6627dc873da61c` diff --git a/ko/built-in-nodes/RecraftCreativeUpscaleNode.mdx b/ko/built-in-nodes/RecraftCreativeUpscaleNode.mdx new file mode 100644 index 000000000..c497753a3 --- /dev/null +++ b/ko/built-in-nodes/RecraftCreativeUpscaleNode.mdx @@ -0,0 +1,25 @@ +--- +title: "RecraftCreativeUpscaleNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftCreativeUpscaleNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftCreativeUpscaleNode" +icon: "circle" +mode: wide +--- +Recraft 창의적 업스케일 이미지 노드는 래스터 이미지의 해상도를 높여 향상시킵니다. 이미지 내 작은 세부 사항과 얼굴을 개선하는 데 중점을 둔 "창의적 업스케일" 프로세스를 사용합니다. 이 작업은 외부 API를 통해 동기식으로 수행됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 업스케일할 입력 이미지입니다. | IMAGE | 예 | | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 세부 사항이 향상된 업스케일 결과 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `b638dd926e144c47ad2c2968cf49f3d322cbdddfcb8b2e86edb3ae9558a1ded6` diff --git a/ko/built-in-nodes/RecraftCrispUpscaleNode.mdx b/ko/built-in-nodes/RecraftCrispUpscaleNode.mdx new file mode 100644 index 000000000..bb32bd9fb --- /dev/null +++ b/ko/built-in-nodes/RecraftCrispUpscaleNode.mdx @@ -0,0 +1,25 @@ +--- +title: "RecraftCrispUpscaleNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftCrispUpscaleNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftCrispUpscaleNode" +icon: "circle" +mode: wide +--- +이미지를 동기 방식으로 업스케일합니다. '선명한 업스케일' 도구를 사용하여 제공된 래스터 이미지를 향상시켜 해상도를 높이고 이미지를 더 선명하고 깨끗하게 만듭니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 업스케일할 입력 이미지입니다. 이미지 배치를 허용합니다. | IMAGE | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 향상된 해상도와 선명도를 가진 업스케일된 이미지입니다. 입력으로 배치가 제공된 경우 이미지 배치를 반환합니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `2c7f6cf4dc801ac83b365bfc501baffb573aa8dde432fa56c57b3d522b4068c6` diff --git a/ko/built-in-nodes/RecraftImageInpaintingNode.mdx b/ko/built-in-nodes/RecraftImageInpaintingNode.mdx new file mode 100644 index 000000000..5f7f74b7d --- /dev/null +++ b/ko/built-in-nodes/RecraftImageInpaintingNode.mdx @@ -0,0 +1,33 @@ +--- +title: "RecraftImageInpaintingNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftImageInpaintingNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftImageInpaintingNode" +icon: "circle" +mode: wide +--- +이 노드는 텍스트 프롬프트와 마스크를 기반으로 이미지의 특정 영역을 수정합니다. Recraft API를 사용하여 마스크된 영역만 지능적으로 편집하고 나머지 이미지는 변경하지 않습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 수정할 입력 이미지 | IMAGE | 예 | - | +| `마스크` | 이미지에서 수정할 영역을 정의하는 마스크 | MASK | 예 | - | +| `프롬프트` | 이미지 생성을 위한 프롬프트 (기본값: 빈 문자열, 최대 길이: 1000자) | STRING | 예 | - | +| `n` | 생성할 이미지 수 (기본값: 1, 최소: 1, 최대: 6) | INT | 예 | 1-6 | +| `시드` | 노드 재실행 여부를 결정하는 시드; 실제 결과는 시드와 관계없이 비결정적입니다 (기본값: 0) | INT | 예 | 0-18446744073709551615 | +| `recraft 스타일` | Recraft API의 선택적 스타일 매개변수입니다. 제공되지 않으면 기본값은 "realistic_image" 스타일입니다 | STYLEV3 | 아니요 | - | +| `부정 프롬프트` | 이미지에서 원하지 않는 요소에 대한 선택적 텍스트 설명입니다 (기본값: 빈 문자열) | STRING | 아니요 | - | + +*참고: 인페인팅 작업이 작동하려면 `image`와 `mask`를 함께 제공해야 합니다. 마스크는 이미지 크기에 맞게 자동으로 조정됩니다. `prompt`는 유효성 검사가 이루어지며 최대 길이는 1000자입니다.* + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 프롬프트와 마스크를 기반으로 생성된 수정된 이미지입니다. 입력 이미지 1개당 `n` 매개변수를 곱한 수만큼의 이미지를 반환합니다 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `3eb6505a19173d8e4ea4216348f9592fd996cdfe2f07a9e79ccec5f738a8fb93` diff --git a/ko/built-in-nodes/RecraftImageToImageNode.mdx b/ko/built-in-nodes/RecraftImageToImageNode.mdx new file mode 100644 index 000000000..2747ddff2 --- /dev/null +++ b/ko/built-in-nodes/RecraftImageToImageNode.mdx @@ -0,0 +1,36 @@ +--- +title: "RecraftImageToImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftImageToImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftImageToImageNode" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md) + +이 노드는 텍스트 프롬프트와 강도 매개변수를 기반으로 기존 이미지를 수정합니다. Recraft API를 사용하여 제공된 설명에 따라 입력 이미지를 변환하면서, 강도 설정에 따라 원본 이미지와의 일부 유사성을 유지합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 수정할 입력 이미지 | IMAGE | 예 | - | +| `프롬프트` | 이미지 생성을 위한 프롬프트 (기본값: "", 최대 길이: 1000자) | STRING | 예 | - | +| `개수` | 생성할 이미지 수 (기본값: 1) | INT | 예 | 1-6 | +| `강도` | 원본 이미지와의 차이를 정의하며, [0, 1] 범위 내에 있어야 합니다. 0은 거의 동일함을 의미하고, 1은 유사성이 거의 없음을 의미합니다 (기본값: 0.5) | FLOAT | 예 | 0.0-1.0 | +| `시드` | 노드 재실행 여부를 결정하는 시드입니다. 시드와 관계없이 실제 결과는 비결정적입니다 (기본값: 0) | INT | 예 | 0-18446744073709551615 | +| `recraft 스타일` | 이미지 생성을 위한 선택적 스타일입니다. 제공되지 않으면 기본값은 `realistic_image`입니다 | STYLEV3 | 아니요 | - | +| `부정 프롬프트` | 이미지에서 원하지 않는 요소에 대한 선택적 텍스트 설명입니다 (기본값: "") | STRING | 아니요 | - | +| `recraft 제어` | Recraft Controls 노드를 통한 생성에 대한 선택적 추가 제어입니다 | CONTROLS | 아니요 | - | + +**참고:** `seed` 매개변수는 노드의 재실행만 트리거할 뿐 결정적 결과를 보장하지는 않습니다. 강도 매개변수는 내부적으로 소수점 둘째 자리로 반올림됩니다. 프롬프트는 검증되며 1000자를 초과할 수 없습니다. `recraft_style`이 제공되지 않으면 노드는 기본적으로 `realistic_image` 스타일을 사용합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 입력 이미지와 프롬프트를 기반으로 생성된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageToImageNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `e47ab70e77186e62c253c976cdd7942cfb949ba6461914d2b4341f3eca8e14aa` diff --git a/ko/built-in-nodes/RecraftRemoveBackgroundNode.mdx b/ko/built-in-nodes/RecraftRemoveBackgroundNode.mdx new file mode 100644 index 000000000..2a7a6ec9d --- /dev/null +++ b/ko/built-in-nodes/RecraftRemoveBackgroundNode.mdx @@ -0,0 +1,28 @@ +--- +title: "RecraftRemoveBackgroundNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftRemoveBackgroundNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftRemoveBackgroundNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md) + +이 노드는 Recraft API 서비스를 사용하여 이미지에서 배경을 제거합니다. 입력 배치의 각 이미지를 처리한 후, 투명 배경이 적용된 처리 이미지와 제거된 배경 영역을 나타내는 해당 알파 마스크를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 배경 제거를 처리할 입력 이미지 | IMAGE | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 투명 배경이 적용된 처리 이미지 | IMAGE | +| `mask` | 제거된 배경 영역을 나타내는 알파 채널 마스크 | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `9e3f1a0471da3afda6b8de26de3b7e78c1070c49ab49e4fc8b6b79bb10ff77de` diff --git a/ko/built-in-nodes/RecraftReplaceBackgroundNode.mdx b/ko/built-in-nodes/RecraftReplaceBackgroundNode.mdx new file mode 100644 index 000000000..7e94f29c7 --- /dev/null +++ b/ko/built-in-nodes/RecraftReplaceBackgroundNode.mdx @@ -0,0 +1,32 @@ +--- +title: "RecraftReplaceBackgroundNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftReplaceBackgroundNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftReplaceBackgroundNode" +icon: "circle" +mode: wide +--- +제공된 프롬프트를 기반으로 이미지의 배경을 교체합니다. 이 노드는 Recraft API를 사용하여 텍스트 설명에 따라 이미지의 새 배경을 생성하므로, 주요 피사체는 그대로 유지하면서 배경을 완전히 변환할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 처리할 입력 이미지 | IMAGE | 예 | - | +| `프롬프트` | 이미지 생성을 위한 프롬프트 (기본값: 비어 있음) | STRING | 예 | - | +| `개수` | 생성할 이미지 수 (기본값: 1) | INT | 예 | 1-6 | +| `시드` | 노드 재실행 여부를 결정하는 시드; 실제 결과는 시드와 관계없이 비결정적입니다 (기본값: 0) | INT | 예 | 0-18446744073709551615 | +| `recraft 스타일` | 생성된 배경에 대한 선택적 스타일 선택. 제공되지 않으면 기본적으로 "realistic_image" 스타일이 사용됩니다 | STYLEV3 | 아니요 | - | +| `부정 프롬프트` | 이미지에서 원하지 않는 요소에 대한 선택적 텍스트 설명 (기본값: 비어 있음) | STRING | 아니요 | - | + +**참고:** `seed` 매개변수는 노드가 재실행되는 시점을 제어하지만, 외부 API의 특성상 결정적 결과를 보장하지는 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 배경이 교체된 생성된 이미지(들) | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `305cb8c542159a089b1fa03971205b23d50c8a328af006e284fb27011070f6bd` diff --git a/ko/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx b/ko/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx new file mode 100644 index 000000000..fa8ecb956 --- /dev/null +++ b/ko/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx @@ -0,0 +1,25 @@ +--- +title: "RecraftStyleV3DigitalIllustration - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftStyleV3DigitalIllustration node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftStyleV3DigitalIllustration" +icon: "circle" +mode: wide +--- +이 노드는 Recraft API와 함께 사용할 스타일을 구성하며, 특히 "digital_illustration" 스타일을 선택합니다. 생성된 이미지의 예술적 방향을 더욱 세분화하기 위해 선택적 하위 스타일을 지정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `하위 스타일` | 특정 유형의 디지털 일러스트레이션을 지정하는 선택적 하위 스타일입니다. 선택하지 않으면 기본 "digital_illustration" 스타일이 사용됩니다. | STRING | 아니요 | `"digital_illustration"`
`"digital_illustration_anime"`
`"digital_illustration_cartoon"`
`"digital_illustration_comic"`
`"digital_illustration_concept_art"`
`"digital_illustration_fantasy"`
`"digital_illustration_futuristic"`
`"digital_illustration_graffiti"`
`"digital_illustration_graphic_novel"`
`"digital_illustration_hyperrealistic"`
`"digital_illustration_ink"`
`"digital_illustration_manga"`
`"digital_illustration_minimalist"`
`"digital_illustration_pixel_art"`
`"digital_illustration_pop_art"`
`"digital_illustration_retro"`
`"digital_illustration_sci_fi"`
`"digital_illustration_sticker"`
`"digital_illustration_street_art"`
`"digital_illustration_surreal"`
`"digital_illustration_vector"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `recraft_style` | 선택한 "digital_illustration" 스타일과 선택적 하위 스타일이 포함된 구성된 스타일 객체로, 다른 Recraft API 노드에 전달할 준비가 되었습니다. | STYLEV3 | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/ko.md) + +--- +**Source fingerprint (SHA-256):** `e52790a670839608ee1cb576e802a54d3bf2ca879ec288a24acd4ac7db27021a` diff --git a/ko/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx b/ko/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx new file mode 100644 index 000000000..d31e8c9b2 --- /dev/null +++ b/ko/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx @@ -0,0 +1,29 @@ +--- +title: "RecraftStyleV3InfiniteStyleLibrary - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftStyleV3InfiniteStyleLibrary node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftStyleV3InfiniteStyleLibrary" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md) + +이 노드는 기존 UUID를 사용하여 Recraft의 Infinite Style Library에서 스타일을 선택할 수 있도록 합니다. 제공된 스타일 식별자를 기반으로 스타일 정보를 검색하고, 이를 다른 Recraft 노드에서 사용할 수 있도록 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `스타일 ID` | Infinite Style Library의 스타일 UUID입니다. | STRING | 예 | 모든 유효한 UUID | + +**참고:** `style_id` 입력은 비워둘 수 없습니다. 빈 문자열이 제공되면 노드에서 예외가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `recraft_style` | Recraft의 Infinite Style Library에서 선택한 스타일 객체입니다. | STYLEV3 | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/ko.md) + +--- +**Source fingerprint (SHA-256):** `37d7d9eff1232cc17912c6fca908dc5b8c404c0b6cf0a36e8fecc837ff2a1eea` diff --git a/ko/built-in-nodes/RecraftStyleV3LogoRaster.mdx b/ko/built-in-nodes/RecraftStyleV3LogoRaster.mdx new file mode 100644 index 000000000..d5302c5e1 --- /dev/null +++ b/ko/built-in-nodes/RecraftStyleV3LogoRaster.mdx @@ -0,0 +1,27 @@ +--- +title: "RecraftStyleV3LogoRaster - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftStyleV3LogoRaster node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftStyleV3LogoRaster" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md) + +이 노드는 로고 이미지 생성을 위한 로고 래스터 스타일과 선택적 하위 스타일을 선택합니다. 래스터 기반 시각적 처리를 적용한 로고 디자인 제작에 특화되어 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `하위 스타일` | 로고 생성에 적용할 특정 로고 래스터 하위 스타일입니다. | STRING | 예 | 여러 옵션 사용 가능 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `recraft_style` | 로고 래스터 스타일과 선택된 하위 스타일을 포함한 선택된 Recraft 스타일 구성입니다. | CUSTOM | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/ko.md) + +--- +**Source fingerprint (SHA-256):** `cf4a7953e36ea824b4ddd00060174ede017d30640a70099b106b6de7f49fefbb` diff --git a/ko/built-in-nodes/RecraftStyleV3RealisticImage.mdx b/ko/built-in-nodes/RecraftStyleV3RealisticImage.mdx new file mode 100644 index 000000000..359728ca9 --- /dev/null +++ b/ko/built-in-nodes/RecraftStyleV3RealisticImage.mdx @@ -0,0 +1,25 @@ +--- +title: "RecraftStyleV3RealisticImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftStyleV3RealisticImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftStyleV3RealisticImage" +icon: "circle" +mode: wide +--- +이 노드는 Recraft의 API를 사용하여 사실적인 이미지를 생성하기 위한 스타일 구성을 생성합니다. `realistic_image` 스타일을 선택하고, 선택적으로 하위 스타일을 지정하여 출력 결과를 미세 조정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `하위 스타일` | realistic_image 스타일에 적용할 특정 하위 스타일입니다. "None"으로 설정하면 하위 스타일이 적용되지 않습니다. | STRING | 예 | 여러 옵션 사용 가능 (Recraft API에 의해 결정됨) | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `recraft_style` | `realistic_image` 스타일과 선택한 하위 스타일 설정을 포함하는 Recraft 스타일 구성 객체입니다. 이 출력은 스타일 입력을 허용하는 다른 Recraft 노드에 연결할 수 있습니다. | STYLEV3 | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/ko.md) + +--- +**Source fingerprint (SHA-256):** `23eafae0a00f1806052a6583db791a5c1fd418ea940ed6463824dffe843ed0d7` diff --git a/ko/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx b/ko/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx new file mode 100644 index 000000000..37ccb04d8 --- /dev/null +++ b/ko/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx @@ -0,0 +1,25 @@ +--- +title: "RecraftStyleV3VectorIllustrationNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftStyleV3VectorIllustrationNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftStyleV3VectorIllustrationNode" +icon: "circle" +mode: wide +--- +이 노드는 Recraft API에서 사용할 스타일을 구성하며, 특히 `vector_illustration` 스타일을 선택합니다. 해당 카테고리 내에서 더 구체적인 하위 스타일을 선택적으로 지정할 수 있습니다. 이 노드는 다른 Recraft API 노드에 전달할 수 있는 스타일 구성 객체를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `substyle` | `vector_illustration` 카테고리 내에서 선택 가능한 더 구체적인 스타일입니다. 선택하지 않으면 기본 `vector_illustration` 스타일이 사용됩니다. | STRING | 아니요 | `"vector_illustration"`
`"vector_illustration_flat"`
`"vector_illustration_3d"`
`"vector_illustration_hand_drawn"`
`"vector_illustration_retro"`
`"vector_illustration_modern"`
`"vector_illustration_abstract"`
`"vector_illustration_geometric"`
`"vector_illustration_organic"`
`"vector_illustration_minimalist"`
`"vector_illustration_detailed"`
`"vector_illustration_colorful"`
`"vector_illustration_monochrome"`
`"vector_illustration_grayscale"`
`"vector_illustration_pastel"`
`"vector_illustration_vibrant"`
`"vector_illustration_muted"`
`"vector_illustration_warm"`
`"vector_illustration_cool"`
`"vector_illustration_neutral"`
`"vector_illustration_bold"`
`"vector_illustration_subtle"`
`"vector_illustration_playful"`
`"vector_illustration_serious"`
`"vector_illustration_elegant"`
`"vector_illustration_rustic"`
`"vector_illustration_urban"`
`"vector_illustration_nature"`
`"vector_illustration_fantasy"`
`"vector_illustration_sci_fi"`
`"vector_illustration_historical"`
`"vector_illustration_futuristic"`
`"vector_illustration_whimsical"`
`"vector_illustration_surreal"`
`"vector_illustration_realistic"`
`"vector_illustration_stylized"`
`"vector_illustration_cartoony"`
`"vector_illustration_anime"`
`"vector_illustration_comic"`
`"vector_illustration_pixel"`
`"vector_illustration_low_poly"`
`"vector_illustration_high_poly"`
`"vector_illustration_isometric"`
`"vector_illustration_orthographic"`
`"vector_illustration_perspective"`
`"vector_illustration_2d"`
`"vector_illustration_2.5d"`
`"vector_illustration_3d"`
`"vector_illustration_4d"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `recraft_style` | 선택한 `vector_illustration` 스타일과 선택적 하위 스타일이 포함된 Recraft API 스타일 구성 객체입니다. 이 객체는 다른 Recraft 노드에 연결할 수 있습니다. | STYLEV3 | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `acd7a6decfdd052a0ff3c01a66dfdd4aa37a711ed6e2e123cc9a424b738b1346` diff --git a/ko/built-in-nodes/RecraftTextToImageNode.mdx b/ko/built-in-nodes/RecraftTextToImageNode.mdx new file mode 100644 index 000000000..58c60b8c1 --- /dev/null +++ b/ko/built-in-nodes/RecraftTextToImageNode.mdx @@ -0,0 +1,37 @@ +--- +title: "RecraftTextToImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftTextToImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftTextToImageNode" +icon: "circle" +mode: wide +--- +# Recraft 텍스트-이미지 생성 노드 + +프롬프트와 해상도를 기반으로 이미지를 동기식으로 생성합니다. 이 노드는 Recraft API에 연결하여 지정된 크기와 선택적 스타일 및 제어 매개변수를 사용하여 텍스트 설명으로부터 이미지를 만듭니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 이미지 생성을 위한 프롬프트입니다. (기본값: "") | STRING | 예 | - | +| `크기` | 생성된 이미지의 크기입니다. (기본값: "1024x1024") | COMBO | 예 | "1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | +| `개수` | 생성할 이미지의 개수입니다. (기본값: 1) | INT | 예 | 1-6 | +| `시드` | 노드 재실행 여부를 결정하는 시드입니다. 시드와 관계없이 실제 결과는 비결정적입니다. (기본값: 0) | INT | 예 | 0-18446744073709551615 | +| `recraft 스타일` | 이미지 생성을 위한 선택적 스타일입니다. 제공되지 않을 경우 기본적으로 "realistic_image" 스타일이 사용됩니다. | RECRAFT_STYLE | 아니요 | 여러 옵션 사용 가능 | +| `부정 프롬프트` | 이미지에서 원하지 않는 요소에 대한 선택적 텍스트 설명입니다. (기본값: "") | STRING | 아니요 | - | +| `recraft 제어` | Recraft Controls 노드를 통한 생성 과정의 선택적 추가 제어입니다. | RECRAFT_CONTROLS | 아니요 | 여러 옵션 사용 가능 | + +**참고:** `seed` 매개변수는 노드가 재실행되는 시점만 제어하며 이미지 생성을 결정적으로 만들지 않습니다. 동일한 시드 값을 사용하더라도 실제 출력 이미지는 달라집니다. + +**참고:** `prompt` 매개변수는 1자에서 1000자 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 배치 텐서 출력으로 생성된 이미지입니다. 여러 이미지가 생성된 경우(n > 1), 배치 차원을 따라 연결됩니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToImageNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `28c510ccfad13ddb50700b465af14deaa3c7c1f8597fef048d89094fd24fcd7d` diff --git a/ko/built-in-nodes/RecraftTextToVectorNode.mdx b/ko/built-in-nodes/RecraftTextToVectorNode.mdx new file mode 100644 index 000000000..79912a23d --- /dev/null +++ b/ko/built-in-nodes/RecraftTextToVectorNode.mdx @@ -0,0 +1,33 @@ +--- +title: "RecraftTextToVectorNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftTextToVectorNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftTextToVectorNode" +icon: "circle" +mode: wide +--- +텍스트 프롬프트와 해상도를 기반으로 SVG 벡터 일러스트레이션을 동기식으로 생성합니다. 이 노드는 프롬프트를 Recraft API로 전송하고 생성된 SVG 콘텐츠를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 이미지 생성을 위한 프롬프트입니다. (기본값: "") | STRING | 예 | - | +| `하위 스타일` | 생성에 사용할 특정 벡터 일러스트레이션 스타일입니다. | COMBO | 예 | `"2d_character"`
`"2d_gradient"`
`"2d_illustration"`
`"2d_flat_character"`
`"2d_flat_illustration"`
`"2d_art"`
`"2d_art_character"`
`"2d_pattern"`
`"2d_pixel_art"`
`"2d_cyberpunk"`
`"2d_engraving"`
`"2d_black_and_white"`
`"2d_ink"`
`"2d_sketch"`
`"2d_watercolor"`
`"2d_animation"`
`"2d_comic"`
`"2d_children_illustration"`
`"2d_vintage"`
`"2d_retro"`
`"2d_hand_drawn"`
`"2d_psychedelic"`
`"2d_graffiti"`
`"2d_ukiyo_e"`
`"2d_woodcut"`
`"2d_art_deco"`
`"2d_art_nouveau"`
`"2d_bauhaus"`
`"2d_constructivism"`
`"2d_cubism"`
`"2d_futurism"`
`"2d_glitch"`
`"2d_impressionism"`
`"2d_naive"`
`"2d_pointillism"`
`"2d_pop_art"`
`"2d_realism"`
`"2d_renaissance"`
`"2d_rococo"`
`"2d_romanticism"`
`"2d_surrealism"`
`"2d_suprematism"`
`"2d_symbolism"`
`"2d_expressionism"`
`"2d_abstract"`
`"2d_minimalism"`
`"2d_contemporary"`
`"2d_modern"`
`"2d_brutalism"`
`"2d_metaphysical"`
`"2d_mannerism"`
`"2d_baroque"`
`"2d_neoclassicism"`
`"2d_orientalism"`
`"2d_primitivism"`
`"2d_fauvism"`
`"2d_rayonism"`
`"2d_orphism"`
`"2d_vorticism"`
`"2d_dadaism"`
`"2d_neo_expressionism"`
`"2d_transavantgarde"`
`"2d_new_wild"`
`"2d_graffiti_classic"`
`"2d_graffiti_modern"`
`"2d_graffiti_wildstyle"`
`"2d_graffiti_bubble"`
`"2d_graffiti_throwup"`
`"2d_graffiti_tag"`
`"2d_graffiti_blockbuster"`
`"2d_graffiti_mural"`
`"2d_graffiti_stencil"`
`"2d_graffiti_3d"`
`"2d_graffiti_character"`
`"2d_graffiti_abstract"`
`"2d_graffiti_urban"`
`"2d_graffiti_neo_muralism"`
`"2d_graffiti_post_graffiti"`
`"2d_graffiti_street_art"` | +| `크기` | 생성된 이미지의 크기입니다. (기본값: "1024x1024") | COMBO | 예 | `"1024x1024"`
`"1024x2048"`
`"2048x1024"`
`"2048x2048"`
`"512x512"`
`"512x1024"`
`"1024x512"`
`"2048x512"`
`"512x2048"` | +| `개수` | 생성할 이미지의 개수입니다. (기본값: 1, 최소값: 1, 최대값: 6) | INT | 예 | 1-6 | +| `시드` | 노드 재실행 여부를 결정하는 시드입니다. 시드와 관계없이 실제 결과는 비결정적입니다. (기본값: 0, 최소값: 0, 최대값: 18446744073709551615) | INT | 예 | 0-18446744073709551615 | +| `부정 프롬프트` | 이미지에서 원하지 않는 요소에 대한 선택적 텍스트 설명입니다. (기본값: "") | STRING | 아니요 | - | +| `Recraft 제어` | Recraft Controls 노드를 통한 생성에 대한 선택적 추가 제어입니다. | CONTROLS | 아니요 | - | + +**참고:** `seed` 매개변수는 노드가 재실행되는 시점만 제어하며, 생성 결과를 결정적으로 만들지는 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `SVG` | SVG 형식으로 생성된 벡터 일러스트레이션 | SVG | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToVectorNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `3ac4057fa100a207c0400d0d01756899fc02261e3fb7d962fb0057e6c6519100` diff --git a/ko/built-in-nodes/RecraftV4TextToImageNode.mdx b/ko/built-in-nodes/RecraftV4TextToImageNode.mdx new file mode 100644 index 000000000..e59806287 --- /dev/null +++ b/ko/built-in-nodes/RecraftV4TextToImageNode.mdx @@ -0,0 +1,35 @@ +--- +title: "RecraftV4TextToImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftV4TextToImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftV4TextToImageNode" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하시거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md) + +이 노드는 Recraft V4 또는 V4 Pro AI 모델을 사용하여 텍스트 설명으로부터 이미지를 생성합니다. 프롬프트를 외부 API로 전송하고 생성된 이미지를 반환합니다. 모델, 이미지 크기 및 생성할 이미지 수를 지정하여 출력을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 이미지 생성을 위한 프롬프트입니다. 최대 10,000자까지 입력 가능합니다. | STRING | 예 | 해당 없음 | +| `negative_prompt` | 이미지에서 원하지 않는 요소에 대한 선택적 텍스트 설명입니다. | STRING | 아니요 | 해당 없음 | +| `model` | 생성에 사용할 모델입니다. 모델을 선택하면 사용 가능한 이미지 크기가 결정됩니다. | COMBO | 예 | `"recraftv4"`
`"recraftv4_pro"` | +| `size` | 생성된 이미지의 크기입니다. 사용 가능한 옵션은 선택한 모델에 따라 달라집니다. `recraftv4`의 경우 기본값은 "1024x1024"입니다. `recraftv4_pro`의 경우 기본값은 "2048x2048"입니다. | COMBO | 예 | 모델에 따라 다름 | +| `n` | 생성할 이미지 수입니다(기본값: 1). | INT | 예 | 1~6 | +| `seed` | 노드 재실행 여부를 결정하는 시드입니다. 실제 결과는 시드와 관계없이 비결정적입니다(기본값: 0). | INT | 예 | 0~18446744073709551615 | +| `recraft_controls` | Recraft Controls 노드를 통한 생성에 대한 선택적 추가 제어입니다. | CUSTOM | 아니요 | 해당 없음 | + +**참고:** `size` 매개변수는 동적 입력으로, 사용 가능한 옵션이 선택한 `model`에 따라 변경됩니다. `seed` 값은 재현 가능한 이미지 출력을 보장하지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 이미지 또는 이미지 배치입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `77d549a43aeee670b6c42069654017fb6b202ed83ca330389573b790bad6ae6e` diff --git a/ko/built-in-nodes/RecraftV4TextToVectorNode.mdx b/ko/built-in-nodes/RecraftV4TextToVectorNode.mdx new file mode 100644 index 000000000..49d9adbbd --- /dev/null +++ b/ko/built-in-nodes/RecraftV4TextToVectorNode.mdx @@ -0,0 +1,35 @@ +--- +title: "RecraftV4TextToVectorNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftV4TextToVectorNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftV4TextToVectorNode" +icon: "circle" +mode: wide +--- +# Recraft V4 텍스트-벡터 노드 + +Recraft V4 텍스트-벡터 노드는 텍스트 설명으로부터 확장 가능한 벡터 그래픽(SVG) 일러스트레이션을 생성합니다. 외부 API에 연결하여 Recraft V4 또는 Recraft V4 Pro 모델을 이미지 생성에 사용합니다. 이 노드는 프롬프트를 기반으로 하나 이상의 SVG 이미지를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 이미지 생성을 위한 프롬프트입니다. 최대 10,000자까지 입력 가능합니다. | STRING | 예 | 해당 없음 | +| `negative_prompt` | 이미지에서 원하지 않는 요소에 대한 선택적 텍스트 설명입니다. | STRING | 아니요 | 해당 없음 | +| `model` | 생성에 사용할 모델입니다. 모델을 선택하면 사용 가능한 `size` 옵션이 변경됩니다. | COMBO | 예 | `"recraftv4"`
`"recraftv4_pro"` | +| `size` | 생성된 이미지의 크기입니다. 사용 가능한 옵션은 선택한 `model`에 따라 달라집니다. 기본값은 `recraftv4`의 경우 `"1024x1024"`, `recraftv4_pro`의 경우 `"2048x2048"`입니다. | COMBO | 예 | `recraftv4`의 경우: `"1024x1024"`, `"1152x896"`, `"896x1152"`, `"1216x832"`, `"832x1216"`, `"1344x768"`, `"768x1344"`, `"1536x640"`, `"640x1536"`
`recraftv4_pro`의 경우: `"2048x2048"`, `"2304x1792"`, `"1792x2304"`, `"2432x1664"`, `"1664x2432"`, `"2688x1536"`, `"1536x2688"`, `"3072x1280"`, `"1280x3072"` | +| `n` | 생성할 이미지 수입니다(기본값: 1). | INT | 예 | 1 ~ 6 | +| `seed` | 노드 재실행 여부를 결정하는 시드입니다. 시드와 관계없이 실제 결과는 비결정적입니다. | INT | 예 | 0 ~ 18446744073709551615 | +| `recraft_controls` | Recraft Controls 노드를 통한 생성 과정의 선택적 추가 제어입니다. | CUSTOM | 아니요 | 해당 없음 | + +**참고:** `size` 매개변수는 동적 입력으로, 사용 가능한 옵션이 선택한 `model`에 따라 변경됩니다. `seed` 값은 외부 API에서 재현 가능한 결과를 보장하지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 확장 가능한 벡터 그래픽(SVG) 이미지입니다. | SVG | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `ffab67555923cea29b50ae71e3ffaad13340aead4d01973a70244468fae4420d` diff --git a/ko/built-in-nodes/RecraftVectorizeImageNode.mdx b/ko/built-in-nodes/RecraftVectorizeImageNode.mdx new file mode 100644 index 000000000..fef8c7a7e --- /dev/null +++ b/ko/built-in-nodes/RecraftVectorizeImageNode.mdx @@ -0,0 +1,25 @@ +--- +title: "RecraftVectorizeImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftVectorizeImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RecraftVectorizeImageNode" +icon: "circle" +mode: wide +--- +입력 이미지로부터 SVG를 동기식으로 생성합니다. 이 노드는 입력 배치의 각 이미지를 처리하고 결과를 단일 SVG 출력으로 결합하여 래스터 이미지를 벡터 그래픽 형식으로 변환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | SVG 형식으로 변환할 입력 이미지 | IMAGE | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `SVG` | 처리된 모든 이미지를 결합하여 생성된 벡터 그래픽 출력 | SVG | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `acd6b5bdb90ad01c0201e434fff84923dbe8a253f7fc5c46efb2d7413f49a8bd` diff --git a/ko/built-in-nodes/ReferenceLatent.mdx b/ko/built-in-nodes/ReferenceLatent.mdx new file mode 100644 index 000000000..abdfe2b24 --- /dev/null +++ b/ko/built-in-nodes/ReferenceLatent.mdx @@ -0,0 +1,26 @@ +--- +title: "ReferenceLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReferenceLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReferenceLatent" +icon: "circle" +mode: wide +--- +이 노드는 편집 모델의 가이딩 잠재 변수를 설정합니다. 조건화 데이터와 선택적 잠재 변수 입력을 받아 참조 잠재 변수 정보를 포함하도록 조건화를 수정합니다. 모델이 지원하는 경우 여러 개의 ReferenceLatent 노드를 연결하여 여러 참조 이미지를 설정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `조건화` | 참조 잠재 변수 정보로 수정할 조건화 데이터 | CONDITIONING | 예 | - | +| `잠재` | 편집 모델의 참조로 사용할 선택적 잠재 변수 데이터 | LATENT | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 참조 잠재 변수 정보를 포함하는 수정된 조건화 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceLatent/ko.md) + +--- +**Source fingerprint (SHA-256):** `d233778cfa7d6f057509f93f8445a0bbf151308e430fc50e28577f48cf136b53` diff --git a/ko/built-in-nodes/ReferenceTimbreAudio.mdx b/ko/built-in-nodes/ReferenceTimbreAudio.mdx new file mode 100644 index 000000000..68691f409 --- /dev/null +++ b/ko/built-in-nodes/ReferenceTimbreAudio.mdx @@ -0,0 +1,28 @@ +--- +title: "ReferenceTimbreAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReferenceTimbreAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReferenceTimbreAudio" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceTimbreAudio/en.md) + +이 노드는 "ace step 1.5" 프로세스에서 사용할 기준 오디오 음색을 설정합니다. 컨디셔닝 입력과 선택적으로 오디오의 잠재 표현을 받아, 해당 잠재 데이터를 컨디셔닝에 첨부하여 워크플로우의 후속 노드에서 사용할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `컨디셔닝` | 기준 오디오 정보가 첨부될 컨디셔닝 데이터입니다. | CONDITIONING | 예 | | +| `latent` | 기준 오디오의 선택적 잠재 표현입니다. 제공된 경우 해당 샘플이 컨디셔닝에 추가됩니다. | LATENT | 아니요 | | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `컨디셔닝` | 선택적 `latent` 입력이 제공된 경우 기준 오디오 음색 잠재 정보를 포함하도록 수정된 컨디셔닝 데이터입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceTimbreAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `2d39399eb79cfe76b72d01326b89863e2553bc23414b1166d310e5222b215b29` diff --git a/ko/built-in-nodes/RegexExtract.mdx b/ko/built-in-nodes/RegexExtract.mdx new file mode 100644 index 000000000..06193ad90 --- /dev/null +++ b/ko/built-in-nodes/RegexExtract.mdx @@ -0,0 +1,37 @@ +--- +title: "RegexExtract - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RegexExtract node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RegexExtract" +icon: "circle" +mode: wide +--- +다음은 ComfyUI RegexExtract 노드 문서의 한국어 번역입니다. + +--- + +RegexExtract 노드는 정규 표현식을 사용하여 텍스트에서 패턴을 검색합니다. 첫 번째 일치 항목, 모든 일치 항목, 일치 항목의 특정 그룹 또는 여러 일치 항목에 걸친 모든 그룹을 찾을 수 있습니다. 이 노드는 대소문자 구분, 여러 줄 일치 및 점(.)이 줄바꿈을 포함하도록 하는 다양한 정규 표현식 플래그를 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `문자열` | 패턴을 검색할 입력 텍스트입니다. | STRING | 예 | - | +| `정규식 패턴` | 검색할 정규 표현식 패턴입니다. | STRING | 예 | - | +| `모드` | 추출 모드는 일치 항목의 어떤 부분을 반환할지 결정합니다 (기본값: "First Match"). | COMBO | 예 | "First Match"
"All Matches"
"First Group"
"All Groups" | +| `대소문자 구분 안 함` | 일치시킬 때 대소문자를 무시할지 여부입니다 (기본값: True). | BOOLEAN | 아니요 | - | +| `여러 줄` | 문자열을 여러 줄로 처리할지 여부입니다 (기본값: False). | BOOLEAN | 아니요 | - | +| `모든 문자 포함` | 점(.)이 줄바꿈과 일치하는지 여부입니다 (기본값: False). | BOOLEAN | 아니요 | - | +| `그룹 인덱스` | 그룹 모드를 사용할 때 추출할 캡처 그룹 인덱스입니다 (기본값: 1). | INT | 아니요 | 0-100 | + +**참고:** "First Group" 또는 "All Groups" 모드를 사용할 때 `group_index` 매개변수는 추출할 캡처 그룹을 지정합니다. 그룹 0은 전체 일치 항목을 나타내며, 그룹 1 이상은 정규 표현식 패턴의 번호가 매겨진 캡처 그룹을 나타냅니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 선택한 모드와 매개변수에 따라 추출된 텍스트입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexExtract/ko.md) + +--- +**Source fingerprint (SHA-256):** `38e365d21bea966ed65bc78c184766330924fe75392cdb88c6978052037f5d5f` diff --git a/ko/built-in-nodes/RegexMatch.mdx b/ko/built-in-nodes/RegexMatch.mdx new file mode 100644 index 000000000..8f406f375 --- /dev/null +++ b/ko/built-in-nodes/RegexMatch.mdx @@ -0,0 +1,29 @@ +--- +title: "RegexMatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RegexMatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RegexMatch" +icon: "circle" +mode: wide +--- +RegexMatch 노드는 텍스트 문자열에 지정된 정규 표현식 패턴과 일치하는 항목이 있는지 확인합니다. 입력 문자열을 검색하여 패턴이 텍스트 내에서 발견되었는지 여부를 예/아니오 결과로 반환합니다. 대소문자 구분 없음 일치 또는 여러 줄 모드와 같은 옵션을 활성화하여 검색 방식을 조정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `문자열` | 일치 항목을 검색할 텍스트 문자열 | STRING | 예 | - | +| `정규식 패턴` | 문자열과 일치시킬 정규 표현식 패턴 | STRING | 예 | - | +| `대소문자 구분 안 함` | 일치 시 대소문자를 무시할지 여부 (기본값: True) | BOOLEAN | 아니요 | - | +| `여러 줄` | 정규 표현식 일치에 여러 줄 모드를 활성화할지 여부 (기본값: False) | BOOLEAN | 아니요 | - | +| `모든 문자 포함` | 정규 표현식 일치에 dotall 모드를 활성화할지 여부 (기본값: False) | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `matches` | 정규 표현식 패턴이 입력 문자열의 일부와 일치하면 True를 반환하고, 그렇지 않으면 False를 반환합니다 | BOOLEAN | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexMatch/ko.md) + +--- +**Source fingerprint (SHA-256):** `b0ee05277edd8600d880051aa33a940c01abc170553515ab02960f25b1aec2be` diff --git a/ko/built-in-nodes/RegexReplace.mdx b/ko/built-in-nodes/RegexReplace.mdx new file mode 100644 index 000000000..bcc2072e6 --- /dev/null +++ b/ko/built-in-nodes/RegexReplace.mdx @@ -0,0 +1,33 @@ +--- +title: "RegexReplace - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RegexReplace node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RegexReplace" +icon: "circle" +mode: wide +--- +# RegexReplace 노드 + +RegexReplace 노드는 정규 표현식 패턴을 사용하여 문자열에서 텍스트를 찾고 바꿉니다. 텍스트 패턴을 검색하여 새 텍스트로 바꿀 수 있으며, 대소문자 구분, 여러 줄 일치, 바꾸기 횟수 제한 등 패턴 일치 작동 방식을 제어하는 옵션을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `문자열` | 검색 및 바꾸기를 수행할 입력 텍스트 문자열 | STRING | 예 | - | +| `정규식 패턴` | 입력 문자열에서 검색할 정규 표현식 패턴 | STRING | 예 | - | +| `바꾸기` | 일치하는 패턴을 대체할 바꾸기 텍스트 | STRING | 예 | - | +| `대소문자 구분 안 함` | 활성화하면 패턴 일치 시 대소문자를 무시합니다 (기본값: True) | BOOLEAN | 아니요 | - | +| `여러 줄 모드` | 활성화하면 ^과 $의 동작이 전체 문자열의 시작/끝이 아닌 각 줄의 시작/끝에서 일치하도록 변경됩니다 (기본값: False) | BOOLEAN | 아니요 | - | +| `모든 문자 모드` | 활성화하면 점(.) 문자가 줄 바꿈 문자를 포함한 모든 문자와 일치합니다. 비활성화하면 점이 줄 바꿈과 일치하지 않습니다 (기본값: False) | BOOLEAN | 아니요 | - | +| `횟수` | 수행할 최대 바꾸기 횟수입니다. 0으로 설정하면 모든 항목을 바꿉니다(기본값). 1로 설정하면 첫 번째 일치 항목만, 2로 설정하면 처음 두 개의 일치 항목만 바꾸는 식입니다 (기본값: 0) | INT | 아니요 | 0-100 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 지정된 바꾸기가 적용된 수정된 문자열 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexReplace/ko.md) + +--- +**Source fingerprint (SHA-256):** `4a4d4b317ee23314a4ac26cf3b58a2cc904bfb8111608f88345c1014b801ea00` diff --git a/ko/built-in-nodes/RemoveBackground.mdx b/ko/built-in-nodes/RemoveBackground.mdx new file mode 100644 index 000000000..ae6f4645f --- /dev/null +++ b/ko/built-in-nodes/RemoveBackground.mdx @@ -0,0 +1,28 @@ +--- +title: "RemoveBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RemoveBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RemoveBackground" +icon: "circle" +mode: wide +--- +## 개요 + +Remove Background 노드는 배경 제거 모델을 사용하여 입력 이미지에서 전경 피사체를 배경과 분리하는 마스크를 생성합니다. 이미지와 배경 제거 모델을 입력받아 주요 피사체를 강조하는 마스크를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 배경을 제거할 입력 이미지 | IMAGE | 예 | 해당 없음 | +| `bg_removal_model` | 마스크 생성에 사용되는 배경 제거 모델 | BACKGROUND_REMOVAL_MODEL | 예 | 해당 없음 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `mask` | 입력 이미지의 주요 피사체를 강조하는 생성된 전경 마스크 | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RemoveBackground/ko.md) + +--- +**Source fingerprint (SHA-256):** `cd19134e6afed4d31096b613dd534eacad39afe7de2c8b74feab512bd5f09f66` diff --git a/ko/built-in-nodes/RenderSplat.mdx b/ko/built-in-nodes/RenderSplat.mdx new file mode 100644 index 000000000..54bae1423 --- /dev/null +++ b/ko/built-in-nodes/RenderSplat.mdx @@ -0,0 +1,39 @@ +--- +title: "RenderSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RenderSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RenderSplat" +icon: "circle" +mode: wide +--- +# Render Splat + +비등방성 EWA 래스터라이저를 사용하여 가우시안 스플랫을 이미지로 렌더링합니다. 방향성 타원형 스플랫, 안티앨리어싱 및 깊이 정렬된 전면-후면 렌더링을 지원합니다. 카메라는 `camera_info` 입력에서 가져오거나, 비워두면 스플랫이 자동으로 프레임에 맞춰집니다. 1보다 큰 프레임 값을 설정하면 턴테이블 배치 이미지가 생성되어 Video 노드에 공급할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|---------|------|------------|------|------| +| `splat` | 렌더링할 가우시안 스플랫 데이터 | SPLAT | 예 | - | +| `width` | 출력 이미지의 너비 (기본값: 1024) | INT | 예 | 64 ~ 2048 (단위: 8) | +| `height` | 출력 이미지의 높이 (기본값: 1024) | INT | 예 | 64 ~ 2048 (단위: 8) | +| `frames` | 렌더링할 프레임 수입니다. -1, 0 또는 1은 단일 정지 이미지를 생성합니다. 1보다 큰 값은 카메라가 360도 전체 회전하는 턴테이블 애니메이션을 만듭니다. 음수 값은 반대 방향으로 회전합니다 (기본값: 1) | INT | 예 | -240 ~ 240 | +| `splat_scale` | 각 스플랫의 투영된 풋프린트에 대한 배율입니다. 값이 낮을수록 더 선명한 점을, 값이 높을수록 더 부드럽고 충실한 표면을 생성합니다 (기본값: 1.0) | FLOAT | 예 | 0.1 ~ 5.0 (단위: 0.05) | +| `sharpen` | 겹치는 스플랫의 선명도를 제어합니다. 1.0 값은 물리적으로 정확한 혼합을 제공합니다. 1.0 이상의 값은 각 픽셀을 지배적인(가장 가까운) 스플랫으로 편향시켜 스플랫을 축소하거나 간격을 벌리지 않으면서 더 선명한 텍스처를 만듭니다 (기본값: 2.0) | FLOAT | 예 | 1.0 ~ 8.0 (단위: 0.5) | +| `headlight_shading` | 카메라 위치의 광원에서 나오는 확산 음영으로, 스플랫 서펠 노멀을 사용합니다. 시야에서 멀어지는 표면을 어둡게 하여 형태와 곡률을 드러냅니다. 0은 평평한 알베도를, 1은 가장 강한 음영을 제공합니다 (기본값: 0.0) | FLOAT | 예 | 0.0 ~ 3.0 (단위: 0.05) | +| `opacity_threshold` | 이 임계값보다 낮은 불투명도를 가진 가우시안을 제거하여 희미한 부유물을 없앱니다 (기본값: 0.0) | FLOAT | 예 | 0.0 ~ 1.0 (단위: 0.01) | +| `render_style` | 이미지 출력에 표시할 내용입니다. 옵션: color(전체 컬러 렌더링), clay(중립 알베도 음영), depth(가까운 물체가 밝게 표시), normal(OpenGL 노멀 맵) (기본값: "color") | COMBO | 예 | "color"
"clay"
"depth"
"normal" | +| `background` | 렌더링의 단색 배경색 (기본값: #000000) | COLOR | 예 | - | +| `bg_image` | 스플랫 뒤에 합성되는 선택적 배경판입니다. 단색 배경색을 재정의합니다. 렌더링 크기로 조정됩니다. 이미지 배치는 프레임별로 사용되며, 단일 이미지는 모든 프레임에 사용됩니다. color 및 clay 렌더 스타일에서만 작동합니다 | IMAGE | 아니요 | - | +| `camera_info` | 렌더링할 카메라입니다. Load3D, Preview3D 또는 Create Camera Info 노드에서 가져올 수 있습니다. 비워두면 기본 3/4 뷰에서 스플랫이 자동으로 프레임에 맞춰집니다 | CAMERA_3D | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-----------|------|------------| +| `mask` | 가우시안 스플랫의 렌더링된 이미지 | IMAGE | +| `mask` | 렌더링된 스플랫의 알파 마스크 | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RenderSplat/ko.md) + +--- +**Source fingerprint (SHA-256):** `038bd9fb032f347ecda665c03719a64b0cf907599b701606f5cf6d0606d19d98` diff --git a/ko/built-in-nodes/RenormCFG.mdx b/ko/built-in-nodes/RenormCFG.mdx new file mode 100644 index 000000000..6f44b2d61 --- /dev/null +++ b/ko/built-in-nodes/RenormCFG.mdx @@ -0,0 +1,27 @@ +--- +title: "RenormCFG - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RenormCFG node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RenormCFG" +icon: "circle" +mode: wide +--- +RenormCFG 노드는 조건부 스케일링과 정규화를 적용하여 확산 모델의 분류기-자유 유도(CFG) 과정을 수정합니다. 이미지 생성 중 조건부 예측과 무조건부 예측 간의 영향을 제어하기 위해 지정된 타임스텝 임계값과 재정규화 계수에 따라 노이즈 제거 과정을 조정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 재정규화된 CFG를 적용할 확산 모델 | MODEL | 예 | - | +| `cfg_trunc` | CFG 스케일링을 적용하기 위한 타임스텝 임계값입니다. 현재 타임스텝이 이 값보다 낮으면 CFG 스케일링이 적용되고, 그렇지 않으면 조건부 예측만 사용됩니다(기본값: 100.0) | FLOAT | 아니요 | 0.0 - 100.0 | +| `renorm_cfg` | 원래 조건부 예측 대비 CFG 스케일링된 예측의 최대 노름을 제한하는 재정규화 계수입니다. 값이 0.0이면 재정규화가 비활성화됩니다(기본값: 1.0) | FLOAT | 아니요 | 0.0 - 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 재정규화된 CFG 함수가 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RenormCFG/ko.md) + +--- +**Source fingerprint (SHA-256):** `b59929606f7519574b7ad14a3caacee51e4f141dd6be3abb594217bcfdbc401e` diff --git a/ko/built-in-nodes/RepeatImageBatch.mdx b/ko/built-in-nodes/RepeatImageBatch.mdx new file mode 100644 index 000000000..986aace7d --- /dev/null +++ b/ko/built-in-nodes/RepeatImageBatch.mdx @@ -0,0 +1,25 @@ +--- +title: "RepeatImageBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RepeatImageBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RepeatImageBatch" +icon: "circle" +mode: wide +--- +## 개요 + +RepeatImageBatch 노드는 지정된 이미지를 특정 횟수만큼 복제하여 동일한 이미지 배치를 생성하도록 설계되었습니다. 이 기능은 배치 처리나 데이터 증강과 같이 동일한 이미지의 여러 인스턴스가 필요한 작업에 유용합니다. + +## 입력 + +| 필드 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 'image' 매개변수는 복제할 이미지를 나타냅니다. 배치 전체에 걸쳐 중복될 콘텐츠를 정의하는 데 중요합니다. | `IMAGE` | +| `개수` | 'amount' 매개변수는 입력 이미지를 복제할 횟수를 지정합니다. 출력 배치의 크기에 직접적인 영향을 미치며, 유연한 배치 생성을 가능하게 합니다. | `INT` | + +## 출력 + +| 필드 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 출력은 입력 이미지와 각각 동일한 이미지들의 배치로, 지정된 'amount'에 따라 복제됩니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RepeatImageBatch/ko.md) diff --git a/ko/built-in-nodes/RepeatLatentBatch.mdx b/ko/built-in-nodes/RepeatLatentBatch.mdx new file mode 100644 index 000000000..80d4d1e2f --- /dev/null +++ b/ko/built-in-nodes/RepeatLatentBatch.mdx @@ -0,0 +1,23 @@ +--- +title: "RepeatLatentBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RepeatLatentBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RepeatLatentBatch" +icon: "circle" +mode: wide +--- +RepeatLatentBatch 노드는 잠재 표현 배치를 지정된 횟수만큼 복제하는 기능을 수행합니다. 여기에는 노이즈 마스크나 배치 인덱스와 같은 추가 데이터가 포함될 수 있습니다. 이 기능은 데이터 증강이나 특정 생성 작업과 같이 동일한 잠재 데이터의 여러 인스턴스가 필요한 작업에 매우 중요합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 데이터` | 'samples' 매개변수는 복제할 잠재 표현을 나타냅니다. 반복될 데이터를 정의하는 데 필수적입니다. | `LATENT` | +| `개수` | 'amount' 매개변수는 입력 샘플을 반복할 횟수를 지정합니다. 출력 배치의 크기에 직접적인 영향을 미치므로, 계산 부하와 생성 데이터의 다양성에 영향을 줍니다. | `INT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 출력은 지정된 'amount'에 따라 복제된 입력 잠재 표현의 수정된 버전입니다. 해당하는 경우 복제된 노이즈 마스크와 조정된 배치 인덱스가 포함될 수 있습니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RepeatLatentBatch/ko.md) diff --git a/ko/built-in-nodes/ReplaceText.mdx b/ko/built-in-nodes/ReplaceText.mdx new file mode 100644 index 000000000..92d923196 --- /dev/null +++ b/ko/built-in-nodes/ReplaceText.mdx @@ -0,0 +1,27 @@ +--- +title: "ReplaceText - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReplaceText node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReplaceText" +icon: "circle" +mode: wide +--- +텍스트 바꾸기(Replace Text) 노드는 간단한 텍스트 치환을 수행합니다. 입력 텍스트 내에서 지정된 텍스트 조각을 검색하여 모든 항목을 새 텍스트로 바꿉니다. 이 작업은 노드에 제공된 모든 텍스트 입력에 적용됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `text` | 처리할 텍스트입니다. | STRING | 예 | - | +| `find` | 찾을 텍스트입니다(기본값: 빈 문자열). | STRING | 예 | - | +| `replace` | 바꿀 텍스트입니다(기본값: 빈 문자열). | STRING | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `text` | `find` 텍스트의 모든 항목이 `replace` 텍스트로 바뀐 처리된 텍스트입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceText/ko.md) + +--- +**Source fingerprint (SHA-256):** `e9d4681e638c5ca2732ec254282243e9e9cdd01cc985af8bbfa41dea208cb7dd` diff --git a/ko/built-in-nodes/ReplaceVideoLatentFrames.mdx b/ko/built-in-nodes/ReplaceVideoLatentFrames.mdx new file mode 100644 index 000000000..6cc95a12e --- /dev/null +++ b/ko/built-in-nodes/ReplaceVideoLatentFrames.mdx @@ -0,0 +1,32 @@ +--- +title: "ReplaceVideoLatentFrames - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReplaceVideoLatentFrames node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReplaceVideoLatentFrames" +icon: "circle" +mode: wide +--- +ReplaceVideoLatentFrames 노드는 소스 잠재 비디오의 프레임을 대상 잠재 비디오에 삽입하며, 지정된 프레임 인덱스부터 시작합니다. 소스 잠재가 제공되지 않으면 대상 잠재가 변경되지 않은 상태로 반환됩니다. 이 노드는 음수 인덱싱을 처리하며, 소스 프레임이 대상 내에 맞지 않을 경우 경고를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `destination` | 프레임이 교체될 대상 잠재입니다. | LATENT | 예 | - | +| `source` | 대상 잠재에 삽입할 프레임을 제공하는 소스 잠재입니다. 제공되지 않으면 대상 잠재가 변경되지 않은 상태로 반환됩니다. | LATENT | 아니요 | - | +| `index` | 대상 잠재에서 소스 잠재 프레임이 배치될 시작 잠재 프레임 인덱스입니다. 음수 값은 끝에서부터 계산합니다(기본값: 0). | INT | 예 | -MAX_RESOLUTION ~ MAX_RESOLUTION | + +**제약 조건:** + +* `index`는 대상 잠재의 프레임 수 범위 내에 있어야 합니다. 그렇지 않으면 경고가 기록되고 대상이 변경되지 않은 상태로 반환됩니다. +* 소스 잠재 프레임은 지정된 `index`부터 시작하여 대상 잠재 프레임 내에 맞아야 합니다. 맞지 않으면 경고가 기록되고 대상이 변경되지 않은 상태로 반환됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 프레임 교체 작업 후의 결과 잠재 비디오입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceVideoLatentFrames/ko.md) + +--- +**Source fingerprint (SHA-256):** `b4e2b3dcdaa5c400fefc30262ae05cd1849896e6cb6bbb3a1bd6ce4d31583e23` diff --git a/ko/built-in-nodes/Reroute.mdx b/ko/built-in-nodes/Reroute.mdx new file mode 100644 index 000000000..5cf4c87eb --- /dev/null +++ b/ko/built-in-nodes/Reroute.mdx @@ -0,0 +1,22 @@ +--- +title: "Reroute - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Reroute node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Reroute" +icon: "circle" +mode: wide +--- +**노드 이름:** 경로 재지정 노드 +**노드 목적:** 주로 ComfyUI 워크플로우에서 지나치게 긴 연결선의 로직을 정리하는 데 사용됩니다. + +## 경로 재지정 노드 사용 방법 + +| 메뉴 옵션 | 설명 | +| --- | --- | +| 유형 표시 | 노드의 유형 속성을 표시합니다 | +| 기본적으로 유형 숨기기 | 기본적으로 노드의 유형 속성을 숨깁니다 | +| 세로로 설정 | 노드의 배선 방향을 세로로 설정합니다 | +| 가로로 설정 | 노드의 배선 방향을 가로로 설정합니다 | + +배선 로직이 너무 길고 복잡하여 인터페이스를 정리하고 싶을 때, 두 연결 지점 사이에 ```Reroute``` 노드를 삽입할 수 있습니다. 이 노드의 입력과 출력은 유형에 제한이 없으며, 기본 스타일은 가로입니다. 마우스 오른쪽 버튼 메뉴를 통해 배선 방향을 세로로 변경할 수 있습니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Reroute/ko.md) diff --git a/ko/built-in-nodes/RescaleCFG.mdx b/ko/built-in-nodes/RescaleCFG.mdx new file mode 100644 index 000000000..16a9b597f --- /dev/null +++ b/ko/built-in-nodes/RescaleCFG.mdx @@ -0,0 +1,23 @@ +--- +title: "RescaleCFG - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RescaleCFG node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RescaleCFG" +icon: "circle" +mode: wide +--- +RescaleCFG 노드는 모델 출력의 조건부 및 비조건부 스케일을 지정된 승수에 따라 조정하여 보다 균형 잡히고 통제된 생성 과정을 달성하도록 설계되었습니다. 이 노드는 모델 출력을 재조정하여 조건부 및 비조건부 구성 요소의 영향을 수정함으로써 모델의 성능이나 출력 품질을 향상시킬 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | model 매개변수는 조정할 생성 모델을 나타냅니다. 노드가 모델 출력에 재조정 함수를 적용하여 생성 과정에 직접적인 영향을 미치므로 매우 중요합니다. | MODEL | +| `배율` | multiplier 매개변수는 모델 출력에 적용되는 재조정 정도를 제어합니다. 원본 구성 요소와 재조정된 구성 요소 간의 균형을 결정하며, 최종 출력의 특성에 영향을 줍니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 조건부 및 비조건부 스케일이 조정된 수정된 모델입니다. 적용된 재조정으로 인해 향상된 특성을 가진 출력을 생성할 것으로 예상됩니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RescaleCFG/ko.md) diff --git a/ko/built-in-nodes/ResizeAndPadImage.mdx b/ko/built-in-nodes/ResizeAndPadImage.mdx new file mode 100644 index 000000000..cfe99995c --- /dev/null +++ b/ko/built-in-nodes/ResizeAndPadImage.mdx @@ -0,0 +1,29 @@ +--- +title: "ResizeAndPadImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResizeAndPadImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ResizeAndPadImage" +icon: "circle" +mode: wide +--- +ResizeAndPadImage 노드는 이미지의 원본 비율을 유지하면서 지정된 크기에 맞게 크기를 조정합니다. 대상 너비와 높이에 맞게 이미지를 비례적으로 축소한 후, 남는 공간을 채우기 위해 가장자리에 패딩을 추가합니다. 패딩 색상과 보간 방법을 사용자 지정하여 패딩 영역의 모양과 크기 조정 품질을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 크기를 조정하고 패딩을 추가할 입력 이미지 | IMAGE | 예 | - | +| `대상 너비` | 출력 이미지의 원하는 너비 (기본값: 512) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `대상 높이` | 출력 이미지의 원하는 높이 (기본값: 512) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `패딩 색상` | 크기가 조정된 이미지 주변 패딩 영역에 사용할 색상 (기본값: "white") | COMBO | 예 | "white"
"black" | +| `보간` | 이미지 크기 조정에 사용되는 보간 방법 (기본값: "area") | COMBO | 예 | "area"
"bicubic"
"nearest-exact"
"bilinear"
"lanczos" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 크기가 조정되고 패딩이 추가된 출력 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeAndPadImage/ko.md) + +--- +**Source fingerprint (SHA-256):** `01566327d46043d1ff9ce404b4df8f49e853d0b01d07cc189fb843157dac1cac` diff --git a/ko/built-in-nodes/ResizeImageMaskNode.mdx b/ko/built-in-nodes/ResizeImageMaskNode.mdx new file mode 100644 index 000000000..724b0a7d9 --- /dev/null +++ b/ko/built-in-nodes/ResizeImageMaskNode.mdx @@ -0,0 +1,39 @@ +--- +title: "ResizeImageMaskNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResizeImageMaskNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ResizeImageMaskNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImageMaskNode/en.md) + +이미지/마스크 크기 조정 노드는 입력 이미지 또는 마스크의 크기를 변경하는 여러 방법을 제공합니다. 배율을 사용하여 크기를 조정하거나, 특정 크기를 설정하거나, 다른 입력의 크기와 일치시키거나, 픽셀 수를 기준으로 조정할 수 있으며, 다양한 보간 방법을 사용하여 품질을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `input` | 크기를 조정할 이미지 또는 마스크입니다. | IMAGE 또는 MASK | 예 | 해당 없음 | +| `resize_type` | 새 크기를 결정하는 데 사용되는 방법입니다. 선택한 유형에 따라 필요한 매개변수가 변경됩니다. | COMBO | 예 | `SCALE_BY`
`SCALE_DIMENSIONS`
`SCALE_LONGER_DIMENSION`
`SCALE_SHORTER_DIMENSION`
`SCALE_WIDTH`
`SCALE_HEIGHT`
`SCALE_TOTAL_PIXELS`
`MATCH_SIZE` | +| `multiplier` | 배율 인수입니다. `resize_type`이 `SCALE_BY`일 때 필요합니다(기본값: 1.00). | FLOAT | 아니요 | 0.01 ~ 8.0 | +| `width` | 목표 너비(픽셀)입니다. `resize_type`이 `SCALE_DIMENSIONS` 또는 `SCALE_WIDTH`일 때 필요합니다(기본값: 512). | INT | 아니요 | 0 ~ 8192 | +| `height` | 목표 높이(픽셀)입니다. `resize_type`이 `SCALE_DIMENSIONS` 또는 `SCALE_HEIGHT`일 때 필요합니다(기본값: 512). | INT | 아니요 | 0 ~ 8192 | +| `crop` | 크기가 종횡비와 일치하지 않을 때 적용할 자르기 방법입니다. `resize_type`이 `SCALE_DIMENSIONS` 또는 `MATCH_SIZE`일 때만 사용 가능합니다(기본값: "center"). | COMBO | 아니요 | `"disabled"`
`"center"` | +| `longer_size` | 이미지의 긴 쪽에 대한 목표 크기입니다. `resize_type`이 `SCALE_LONGER_DIMENSION`일 때 필요합니다(기본값: 512). | INT | 아니요 | 0 ~ 8192 | +| `shorter_size` | 이미지의 짧은 쪽에 대한 목표 크기입니다. `resize_type`이 `SCALE_SHORTER_DIMENSION`일 때 필요합니다(기본값: 512). | INT | 아니요 | 0 ~ 8192 | +| `megapixels` | 목표 총 메가픽셀 수입니다. `resize_type`이 `SCALE_TOTAL_PIXELS`일 때 필요합니다(기본값: 1.0). | FLOAT | 아니요 | 0.01 ~ 16.0 | +| `match` | 입력의 크기를 일치시킬 대상 이미지 또는 마스크입니다. `resize_type`이 `MATCH_SIZE`일 때 필요합니다. | IMAGE 또는 MASK | 아니요 | 해당 없음 | +| `scale_method` | 크기 조정에 사용되는 보간 알고리즘입니다(기본값: "area"). | COMBO | 예 | `"nearest-exact"`
`"bilinear"`
`"area"`
`"bicubic"`
`"lanczos"` | + +**참고:** `crop` 매개변수는 `resize_type`이 `SCALE_DIMENSIONS` 또는 `MATCH_SIZE`로 설정된 경우에만 사용 가능하며 관련이 있습니다. `SCALE_WIDTH` 또는 `SCALE_HEIGHT`를 사용하는 경우, 다른 차원은 원래 종횡비를 유지하기 위해 자동으로 조정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `resized` | 입력의 데이터 타입과 일치하는 크기가 조정된 이미지 또는 마스크입니다. | IMAGE 또는 MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImageMaskNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `9ac0b153608ac971bb11d9d12ebd1f0f4d6e926604e8727a1bc3a311d95fbc03` diff --git a/ko/built-in-nodes/ResizeImagesByLongerEdge.mdx b/ko/built-in-nodes/ResizeImagesByLongerEdge.mdx new file mode 100644 index 000000000..92de01ecb --- /dev/null +++ b/ko/built-in-nodes/ResizeImagesByLongerEdge.mdx @@ -0,0 +1,28 @@ +--- +title: "ResizeImagesByLongerEdge - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResizeImagesByLongerEdge node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ResizeImagesByLongerEdge" +icon: "circle" +mode: wide +--- +# 긴 변 기준 이미지 크기 조정 노드 + +긴 변 기준 이미지 크기 조정 노드는 하나 이상의 이미지의 가장 긴 변이 지정된 목표 길이와 일치하도록 크기를 조정합니다. 너비와 높이 중 어느 쪽이 더 긴지 자동으로 판단하여 다른 쪽 치수를 비례적으로 조정함으로써 원본 종횡비를 유지합니다. 이는 이미지의 가장 큰 치수를 기준으로 이미지 크기를 표준화할 때 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 크기를 조정할 입력 이미지 또는 이미지 배치입니다. | IMAGE | 예 | - | +| `longer_edge` | 긴 변의 목표 길이입니다. 짧은 변은 비례적으로 크기가 조정됩니다. (기본값: 1024) | INT | 예 | 1 - 8192 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 크기가 조정된 이미지 또는 이미지 배치입니다. 출력은 입력과 동일한 수의 이미지를 가지며, 각 이미지의 긴 변이 지정된 `longer_edge` 길이와 일치합니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/ko.md) + +--- +**Source fingerprint (SHA-256):** `687d5f159967eccbf64f0ec529ae6edeb94f4707ae10a3c75a5d0b08c86dd828` diff --git a/ko/built-in-nodes/ResizeImagesByShorterEdge.mdx b/ko/built-in-nodes/ResizeImagesByShorterEdge.mdx new file mode 100644 index 000000000..0ac33b4c8 --- /dev/null +++ b/ko/built-in-nodes/ResizeImagesByShorterEdge.mdx @@ -0,0 +1,26 @@ +--- +title: "ResizeImagesByShorterEdge - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResizeImagesByShorterEdge node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ResizeImagesByShorterEdge" +icon: "circle" +mode: wide +--- +이 노드는 원본 이미지의 가로세로 비율을 유지하면서 짧은 쪽 가장자리가 지정된 길이와 일치하도록 이미지 크기를 조정합니다. 짧은 쪽의 목표 길이를 기준으로 새 치수를 계산하고 크기가 조정된 이미지를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 크기를 조정할 입력 이미지입니다. | IMAGE | 예 | - | +| `shorter_edge` | 짧은 쪽 가장자리의 목표 길이입니다. (기본값: 512) | INT | 아니요 | 1~8192 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 짧은 쪽 가장자리가 지정된 목표 길이와 일치하도록 크기가 조정된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/ko.md) + +--- +**Source fingerprint (SHA-256):** `011949390faa9032587aec210d9e38d55b79e474c7a6dcd5d3c0e75594a1fc29` diff --git a/ko/built-in-nodes/ResolutionBucket.mdx b/ko/built-in-nodes/ResolutionBucket.mdx new file mode 100644 index 000000000..9c7a644e0 --- /dev/null +++ b/ko/built-in-nodes/ResolutionBucket.mdx @@ -0,0 +1,29 @@ +--- +title: "ResolutionBucket - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResolutionBucket node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ResolutionBucket" +icon: "circle" +mode: wide +--- +이 노드는 잠재 이미지 목록과 해당 조건화 데이터를 해상도별로 정리합니다. 동일한 높이와 너비를 가진 항목들을 함께 그룹화하여 각 고유 해상도에 대해 별도의 배치를 생성합니다. 이 과정은 모델이 동일한 크기의 여러 항목을 함께 처리할 수 있도록 하여 효율적인 학습을 위한 데이터 준비에 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `latents` | 해상도별로 버킷팅할 잠재 딕셔너리 목록입니다. | LATENT | 예 | 해당 없음 | +| `conditioning` | 조건화 목록의 목록입니다(`latents` 길이와 일치해야 함). | CONDITIONING | 예 | 해당 없음 | + +**참고:** `latents` 목록의 항목 수는 `conditioning` 목록의 항목 수와 정확히 일치해야 합니다. 각 잠재 딕셔너리에는 샘플 배치가 포함될 수 있으며, 해당 조건화 목록에는 해당 배치에 맞는 수의 조건화 항목이 포함되어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `conditioning` | 해상도 버킷별로 하나씩 배치된 잠재 딕셔너리 목록입니다. | LATENT | +| `conditioning` | 해상도 버킷별로 하나씩 조건화 목록의 목록입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionBucket/ko.md) + +--- +**Source fingerprint (SHA-256):** `2858de5f0827812002ca72ba5d7ce56411d1ef97e9a12a65fc4bea193a1a0ec0` diff --git a/ko/built-in-nodes/ResolutionSelector.mdx b/ko/built-in-nodes/ResolutionSelector.mdx new file mode 100644 index 000000000..97e7f2d11 --- /dev/null +++ b/ko/built-in-nodes/ResolutionSelector.mdx @@ -0,0 +1,27 @@ +--- +title: "ResolutionSelector - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResolutionSelector node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ResolutionSelector" +icon: "circle" +mode: wide +--- +해상도 선택기 노드는 선택한 종횡비와 목표 총 해상도(메가픽셀 단위)를 기준으로 이미지의 픽셀 너비와 높이를 계산합니다. 이는 빈 잠재 이미지 노드와 같은 다른 노드에 일관된 크기를 생성하는 데 유용합니다. 출력 크기는 항상 8의 가장 가까운 배수로 반올림됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `종횡비` | 출력 크기의 종횡비입니다 (기본값: `"SQUARE"`). | COMBO | 예 | `"SQUARE"`
`"PORTRAIT_2_3"`
`"PORTRAIT_3_4"`
`"PORTRAIT_9_16"`
`"LANDSCAPE_3_2"`
`"LANDSCAPE_4_3"`
`"LANDSCAPE_16_9"` | +| `메가픽셀` | 목표 총 메가픽셀 수입니다. 정사각형 종횡비에서 1.0 MP는 약 1024×1024에 해당합니다 (기본값: 1.0). | FLOAT | 예 | 0.1 - 16.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `높이` | 계산된 픽셀 너비로, 8의 배수입니다. | INT | +| `height` | 계산된 픽셀 높이로, 8의 배수입니다. | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionSelector/ko.md) + +--- +**Source fingerprint (SHA-256):** `221d38fa72c9989e06b706d33fd3e0dc4caa0f741dd2931864c58a6bd7f52613` diff --git a/ko/built-in-nodes/ReveImageCreateNode.mdx b/ko/built-in-nodes/ReveImageCreateNode.mdx new file mode 100644 index 000000000..97b373e5b --- /dev/null +++ b/ko/built-in-nodes/ReveImageCreateNode.mdx @@ -0,0 +1,34 @@ +--- +title: "ReveImageCreateNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReveImageCreateNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReveImageCreateNode" +icon: "circle" +mode: wide +--- +# Reve 이미지 생성 노드 + +Reve 이미지 생성 노드는 Reve AI 모델을 사용하여 텍스트 설명으로부터 이미지를 생성합니다. 텍스트 프롬프트를 Reve API로 전송하고 생성된 이미지를 반환합니다. 이미지의 종횡비를 제어하고 업스케일링과 같은 선택적 후처리 효과를 적용할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 원하는 이미지에 대한 텍스트 설명입니다. 최대 2560자까지 입력 가능합니다. | STRING | 예 | 해당 없음 | +| `모델` | 생성에 사용할 모델 버전과 종횡비입니다. 첫 번째 옵션은 모델을 선택하고, 이후 옵션들은 이미지의 종횡비를 정의합니다. | COMBO | 예 | `"reve-create@20250915"`
`"3:2"`
`"16:9"`
`"9:16"`
`"2:3"`
`"4:3"`
`"3:4"`
`"1:1"` | +| `업스케일` | 업스케일링 후처리 단계를 활성화 또는 비활성화합니다. 활성화된 경우 업스케일 배율도 선택해야 합니다. | COMBO | 아니요 | `"disabled"`
`"enabled"` | +| `upscale_factor` | 이미지 해상도를 증가시킬 배율입니다. 이 매개변수는 `업스케일`이 `"enabled"`로 설정된 경우에만 활성화됩니다. | COMBO | 아니요 | `2`
`3`
`4` | +| `배경 제거` | 활성화하면 생성된 이미지에 배경 제거 후처리 단계를 적용합니다. | BOOLEAN | 아니요 | 해당 없음 | +| `시드` | 노드 재실행 여부를 제어하는 시드 값입니다. 참고: 시드 값과 관계없이 결과는 비결정적입니다. 기본값: 0. | INT | 아니요 | 0 ~ 2147483647 | + +**참고:** `upscale_factor` 매개변수는 `upscale` 매개변수가 `"enabled"`로 설정된 경우에만 적용됩니다. `seed` 매개변수는 결정적 출력을 보장하지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 입력 프롬프트를 기반으로 Reve 모델이 생성한 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageCreateNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `56cb32ad254d39609d9795ca29f1ccba1db2c5a7ac5bb530475298306ec4ea19` diff --git a/ko/built-in-nodes/ReveImageEditNode.mdx b/ko/built-in-nodes/ReveImageEditNode.mdx new file mode 100644 index 000000000..ef9aac3ad --- /dev/null +++ b/ko/built-in-nodes/ReveImageEditNode.mdx @@ -0,0 +1,37 @@ +--- +title: "ReveImageEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReveImageEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReveImageEditNode" +icon: "circle" +mode: wide +--- +# Reve 이미지 편집 노드 + +Reve 이미지 편집 노드는 텍스트 설명을 기반으로 기존 이미지를 수정할 수 있게 해줍니다. Reve API를 사용하여 사용자의 지침을 해석하고 제공된 이미지에 요청된 변경 사항을 적용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 편집할 이미지입니다. | IMAGE | 예 | - | +| `편집 지시` | 이미지를 어떻게 편집할지에 대한 텍스트 설명입니다. 최대 2560자입니다. | STRING | 예 | - | +| `모델` | 편집에 사용할 모델 버전입니다. | MODEL | 예 | `"reve-edit@20250915"`
`"reve-edit-fast@20251030"` | +| `model.aspect_ratio` | 편집된 이미지의 종횡비입니다. "auto"로 설정하면 종횡비가 자동으로 결정됩니다. | COMBO | 아니요 | `"auto"`
`"16:9"`
`"9:16"`
`"3:2"`
`"2:3"`
`"4:3"`
`"3:4"`
`"1:1"` | +| `model.test_time_scaling` | 모델의 테스트 시간 스케일링 계수입니다. 값이 높을수록 품질이 향상될 수 있지만 처리 시간이 증가합니다. | FLOAT | 아니요 | - | +| `업스케일` | 생성된 이미지를 업스케일할지 여부를 제어합니다. | COMBO | 아니요 | `"disabled"`
`"enabled"` | +| `upscale.upscale_factor` | 업스케일이 활성화된 경우 이미지를 업스케일할 배율입니다. | FLOAT | 아니요 | - | +| `배경 제거` | 생성된 이미지에서 배경을 제거할지 여부를 제어합니다. | BOOLEAN | 아니요 | - | +| `시드` | 시드는 노드를 다시 실행해야 하는지 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다. (기본값: 0) | INT | 아니요 | 0 ~ 2147483647 | + +**참고:** `upscale.upscale_factor` 매개변수는 `upscale` 매개변수가 `"enabled"`로 설정된 경우에만 관련이 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 지침에 따라 생성된 편집된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageEditNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `0a9504ae5e8b7216d309fe3ba95c014da32eadbf11cfc5701247ba5973dd98be` diff --git a/ko/built-in-nodes/ReveImageRemixNode.mdx b/ko/built-in-nodes/ReveImageRemixNode.mdx new file mode 100644 index 000000000..9a39de887 --- /dev/null +++ b/ko/built-in-nodes/ReveImageRemixNode.mdx @@ -0,0 +1,34 @@ +--- +title: "ReveImageRemixNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReveImageRemixNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReveImageRemixNode" +icon: "circle" +mode: wide +--- +# Reve Image Remix 노드 + +Reve Image Remix 노드는 Reve API를 사용하여 새 이미지를 생성합니다. 하나 이상의 참조 이미지와 텍스트 프롬프트를 결합하여 제공된 설명에 기반한 새로운 리믹스 이미지를 만듭니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `참고 이미지` | 리믹스의 기준으로 사용할 하나 이상의 참조 이미지입니다. 1~6개의 이미지를 추가할 수 있습니다. | IMAGE | 예 | 1~6개 이미지 | +| `프롬프트` | 원하는 이미지에 대한 텍스트 설명입니다. XML `` 태그를 사용하여 특정 이미지를 인덱스로 참조할 수 있습니다(예: `0`, `1`). (기본값: 비어 있음) | STRING | 예 | 1~2560자 | +| `모델` | 리믹싱에 사용할 모델 버전입니다. 각 모델 옵션에는 설정 가능한 종횡비와 테스트 시간 스케일링이 포함됩니다. | COMBO | 예 | `reve-remix@20250915`
`reve-remix-fast@20251030` | +| `업스케일` | 생성된 이미지를 업스케일할지 여부를 제어합니다. 활성화하면 업스케일 배율을 선택할 수 있습니다. | COMBO | 아니요 | `"disabled"`
`"enabled"` | +| `배경 제거` | 활성화하면 생성된 이미지에서 배경을 제거하려고 시도합니다. | BOOLEAN | 아니요 | `true`
`false` | +| `시드` | 시드 값입니다. 이 값을 변경하면 노드가 다시 실행되지만, 시드와 관계없이 결과는 비결정적입니다. (기본값: 0) | INT | 아니요 | 0~2147483647 | + +**참고:** `model` 매개변수는 `aspect_ratio`(옵션: "auto", "16:9", "9:16", "3:2", "2:3", "4:3", "3:4", "1:1") 및 `test_time_scaling`에 대한 중첩 설정을 포함하는 동적 콤보입니다. `upscale` 매개변수가 "enabled"로 설정되면 중첩된 `upscale_factor` 설정이 표시됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | Reve 리믹스 프로세스에 의해 생성된 새 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageRemixNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `e64dccddfd55ebaa7e28bf17c2a5ff1a0c130db1475e307940b75106c788f687` diff --git a/ko/built-in-nodes/Rodin3D_Detail.mdx b/ko/built-in-nodes/Rodin3D_Detail.mdx new file mode 100644 index 000000000..9b1cacba9 --- /dev/null +++ b/ko/built-in-nodes/Rodin3D_Detail.mdx @@ -0,0 +1,31 @@ +--- +title: "Rodin3D_Detail - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Detail node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Rodin3D_Detail" +icon: "circle" +mode: wide +--- +# Rodin 3D Detail 노드 + +Rodin 3D Detail 노드는 Rodin API를 사용하여 상세한 3D 에셋을 생성합니다. 입력 이미지를 받아 Rodin 서비스를 통해 처리하여 정교한 지오메트리와 재질을 갖춘 고품질 3D 모델을 제작합니다. 이 노드는 작업 생성부터 최종 3D 모델 파일 다운로드까지 전체 워크플로우를 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 3D 모델 생성에 사용되는 입력 이미지입니다. 여러 이미지를 제공할 수 있습니다. | IMAGE | 예 | - | +| `시드` | 재현 가능한 결과를 위한 난수 시드 값입니다. | INT | 예 | - | +| `재질 유형` | 3D 모델에 적용할 재질 유형입니다. | STRING | 예 | - | +| `폴리곤 수` | 생성된 3D 모델의 목표 폴리곤 수입니다. 메시 품질 수준을 결정합니다. | STRING | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `GLB` | 생성된 3D 모델의 파일 경로입니다 (하위 호환성 전용). | STRING | +| `GLB` | GLB 형식으로 생성된 3D 모델입니다. | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Detail/ko.md) + +--- +**Source fingerprint (SHA-256):** `ed9ed2c8a55ca80d18da88ee2703c66057a09beeac7163fc270d81a492417b0a` diff --git a/ko/built-in-nodes/Rodin3D_Gen2.mdx b/ko/built-in-nodes/Rodin3D_Gen2.mdx new file mode 100644 index 000000000..6e8156bb8 --- /dev/null +++ b/ko/built-in-nodes/Rodin3D_Gen2.mdx @@ -0,0 +1,32 @@ +--- +title: "Rodin3D_Gen2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Gen2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Rodin3D_Gen2" +icon: "circle" +mode: wide +--- +# Rodin3D_Gen2 노드 + +Rodin3D_Gen2 노드는 Rodin API를 사용하여 3D 에셋을 생성합니다. 입력 이미지를 받아 다양한 재질 유형과 폴리곤 수로 3D 모델로 변환합니다. 이 노드는 작업 생성, 상태 폴링, 파일 다운로드를 포함한 전체 생성 과정을 자동으로 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 3D 모델 생성에 사용할 입력 이미지 | IMAGE | 예 | - | +| `시드` | 생성을 위한 무작위 시드 값 (기본값: 0) | INT | 아니요 | 0-65535 | +| `재질 유형` | 3D 모델에 적용할 재질 유형 (기본값: "PBR") | COMBO | 아니요 | "PBR"
"Shaded" | +| `폴리곤 수` | 생성된 3D 모델의 목표 폴리곤 수 (기본값: "500K-Triangle") | COMBO | 아니요 | "4K-Quad"
"8K-Quad"
"18K-Quad"
"50K-Quad"
"2K-Triangle"
"20K-Triangle"
"150K-Triangle"
"500K-Triangle" | +| `TAPose` | TAPose 처리 적용 여부 (기본값: False) | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `GLB` | 생성된 3D 모델의 파일 경로 (하위 호환성 유지) | STRING | +| `GLB` | GLB 형식으로 생성된 3D 모델 | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen2/ko.md) + +--- +**Source fingerprint (SHA-256):** `940712a9a40f4cb07050f3ed7ac502469b30bd364f86bb42b9dd8bf63eb912a2` diff --git a/ko/built-in-nodes/Rodin3D_Gen25_Image.mdx b/ko/built-in-nodes/Rodin3D_Gen25_Image.mdx new file mode 100644 index 000000000..87013f425 --- /dev/null +++ b/ko/built-in-nodes/Rodin3D_Gen25_Image.mdx @@ -0,0 +1,43 @@ +--- +title: "Rodin3D_Gen25_Image - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Gen25_Image node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Rodin3D_Gen25_Image" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 Rodin Gen-2.5 API를 사용하여 1~5개의 참조 이미지로부터 3D 모델을 생성합니다. 생성 속도와 비용의 균형을 맞추기 위해 빠름(Fast), 보통(Regular), 초고화질(Extreme-High) 모드 중에서 선택할 수 있습니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `images` | 1~5개의 입력 이미지입니다. 여러 이미지가 제공될 경우 첫 번째 이미지가 재질에 사용됩니다. | IMAGE | 예 | 1~5개 이미지 | +| `mode` | 생성 품질 모드입니다. 더 높은 품질 모드는 더 나은 결과를 제공하지만 비용이 더 많이 듭니다. | COMBO | 예 | `"Fast"`
`"Regular"`
`"Extreme-High"` | +| `material` | 생성된 3D 모델의 재질 유형입니다. | COMBO | 예 | `"PBR"`
`"Matte"` | +| `geometry_file_format` | 3D 모델 지오메트리의 출력 파일 형식입니다. | COMBO | 예 | `"glb"`
`"obj"`
`"stl"`
`"usdz"` | +| `texture_mode` | 텍스처 생성 모드입니다. "Original"은 입력 텍스처를 유지하고, "Clean"은 제거하며, "Style"은 스타일화된 텍스처를 적용합니다. | COMBO | 예 | `"Original"`
`"Clean"`
`"Style"` | +| `seed` | 재현 가능한 결과를 위한 무작위 시드입니다. 동일한 시드를 사용하면 동일한 출력을 얻을 수 있습니다. | INT | 예 | 0 ~ 2147483647 | +| `TAPose` | 생성된 모델에 T-포즈를 적용할지 여부입니다. | BOOLEAN | 예 | True / False | +| `hd_texture` | 고해상도 텍스처 맵을 생성할지 여부입니다. | BOOLEAN | 예 | True / False | +| `texture_delight` | 텍스처 생성 전에 입력 이미지에서 조명을 제거할지 여부입니다. | BOOLEAN | 예 | True / False | +| `use_original_alpha` | 입력 이미지의 원본 알파 채널을 사용할지 여부입니다. | BOOLEAN | 예 | True / False | +| `addon_highpack` | 표준 모델 외에 고폴리곤 버전의 모델을 추가로 생성할지 여부입니다. | BOOLEAN | 예 | True / False | +| `bbox_width` | 생성된 모델의 경계 상자 너비(센티미터)입니다. | INT | 예 | 1 ~ 1000 | +| `bbox_height` | 생성된 모델의 경계 상자 높이(센티미터)입니다. | INT | 예 | 1 ~ 1000 | +| `bbox_length` | 생성된 모델의 경계 상자 길이(센티미터)입니다. | INT | 예 | 1 ~ 1000 | +| `height_cm` | 생성된 모델의 높이(센티미터)입니다. | INT | 예 | 1 ~ 300 | + +**이미지 개수 참고사항:** 이 노드는 1~5개의 이미지를 허용합니다. 이미지 배치(예: 4개 이미지 배치)를 제공하면 배치 내 각 이미지가 개별 입력 이미지로 처리됩니다. 5개를 초과하는 이미지를 제공하면 오류가 발생합니다. + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model_file` | 선택한 지오메트리 형식의 생성된 3D 모델 파일입니다. | FILE3D | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ko.md) + +--- +**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878` diff --git a/ko/built-in-nodes/Rodin3D_Gen25_Text.mdx b/ko/built-in-nodes/Rodin3D_Gen25_Text.mdx new file mode 100644 index 000000000..e218c6c27 --- /dev/null +++ b/ko/built-in-nodes/Rodin3D_Gen25_Text.mdx @@ -0,0 +1,42 @@ +--- +title: "Rodin3D_Gen25_Text - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Gen25_Text node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Rodin3D_Gen25_Text" +icon: "circle" +mode: wide +--- +## 개요 + +Rodin Gen-2.5 API를 사용하여 텍스트 프롬프트로 3D 모델을 생성합니다. 생성 속도와 출력 품질의 균형을 위해 다양한 품질 모드(빠름, 일반, 초고화질) 중에서 선택할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 생성하려는 3D 모델을 설명하는 텍스트 프롬프트입니다. | STRING | 예 | 최대 2500자 | +| `모드` | 생성 품질 및 속도 모드입니다. "Fast"가 가장 빠르며, "Extreme-High"는 최고 품질을 제공하지만 시간이 더 오래 걸립니다. | COMBO | 예 | `"Fast"`
`"Regular"`
`"Extreme-High"` | +| `재질` | 생성된 3D 모델의 재질 스타일입니다. | COMBO | 예 | `"PBR"`
`"Matte"`
`"Shiny"` | +| `지오메트리 파일 형식` | 출력 3D 모델의 파일 형식입니다. | COMBO | 예 | `"glb"`
`"obj"`
`"stl"`
`"usdz"` | +| `텍스처 모드` | 텍스처 생성 모드입니다. "None"은 텍스처를 생성하지 않으며, "Generated"는 표준 텍스처를, "Generated+HD"는 고해상도 텍스처를 생성합니다. | COMBO | 예 | `"None"`
`"Generated"`
`"Generated+HD"` | +| `시드` | 재현 가능한 결과를 위한 난수 시드입니다. 동일한 입력과 동일한 시드를 사용하면 동일한 출력이 생성됩니다. | INT | 예 | 0 ~ 2147483647 | +| `T/A 포즈` | 생성된 모델에 T-포즈(팔을 벌린 자세)를 적용할지 여부입니다. | BOOLEAN | 예 | True / False | +| `고화질 텍스처` | 모델에 고해상도 텍스처를 생성할지 여부입니다. | BOOLEAN | 예 | True / False | +| `텍스처 디라이트` | 모델에 텍스처 디라이트(향상된 텍스처 품질)를 적용할지 여부입니다. | BOOLEAN | 예 | True / False | +| `HighPack 애드온` | 표준 모델 외에 고폴리곤 버전의 모델을 추가로 생성할지 여부입니다. | BOOLEAN | 예 | True / False | +| `바운딩 박스 너비` | 월드 단위로 표시되는 경계 상자의 너비입니다. | INT | 예 | 1 ~ 1000 | +| `바운딩 박스 높이` | 월드 단위로 표시되는 경계 상자의 높이입니다. | INT | 예 | 1 ~ 1000 | +| `바운딩 박스 길이` | 월드 단위로 표시되는 경계 상자의 깊이입니다. | INT | 예 | 1 ~ 1000 | +| `모델 높이(cm)` | 생성된 모델의 높이(센티미터)입니다. | INT | 예 | 1 ~ 300 | + +**참고:** `prompt` 매개변수는 1자에서 2500자 사이여야 합니다. `seed` 매개변수는 지정하지 않을 경우 기본값 0(무작위)으로 설정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model_file` | 지정된 형식의 생성된 3D 모델 파일입니다. | FILE3DANY | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ko.md) + +--- +**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db` diff --git a/ko/built-in-nodes/Rodin3D_Regular.mdx b/ko/built-in-nodes/Rodin3D_Regular.mdx new file mode 100644 index 000000000..cc8c06b28 --- /dev/null +++ b/ko/built-in-nodes/Rodin3D_Regular.mdx @@ -0,0 +1,31 @@ +--- +title: "Rodin3D_Regular - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Regular node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Rodin3D_Regular" +icon: "circle" +mode: wide +--- +# Rodin 3D Regular 노드 + +Rodin 3D Regular 노드는 Rodin API를 사용하여 3D 에셋을 생성합니다. 입력 이미지를 받아 Rodin 서비스를 통해 처리하여 3D 모델을 만듭니다. 이 노드는 작업 생성부터 최종 3D 모델 파일 다운로드까지 전체 워크플로를 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 3D 모델 생성에 사용되는 입력 이미지입니다. 여러 이미지를 제공할 수 있습니다. | IMAGE | 예 | - | +| `시드` | 재현 가능한 결과를 위한 난수 시드 값입니다. | INT | 예 | - | +| `재질 유형` | 3D 모델에 적용할 재질 유형입니다. | STRING | 예 | - | +| `폴리곤 수` | 생성된 3D 모델의 목표 폴리곤 수입니다. 이 매개변수는 품질 수준과 메시 복잡성을 결정합니다. | STRING | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `GLB` | 생성된 3D 모델의 파일 경로입니다(하위 호환성을 위해 유지됨). | STRING | +| `GLB` | GLB 형식으로 생성된 3D 모델입니다. | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Regular/ko.md) + +--- +**Source fingerprint (SHA-256):** `f937be3aa579baf4407434839e741141d6bd63c09b7e0bdc49a9e92a10d7a130` diff --git a/ko/built-in-nodes/Rodin3D_Sketch.mdx b/ko/built-in-nodes/Rodin3D_Sketch.mdx new file mode 100644 index 000000000..0ea29dcb1 --- /dev/null +++ b/ko/built-in-nodes/Rodin3D_Sketch.mdx @@ -0,0 +1,29 @@ +--- +title: "Rodin3D_Sketch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Sketch node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Rodin3D_Sketch" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md) + +이 노드는 Rodin API를 사용하여 3D 에셋을 생성합니다. 입력 이미지를 받아 외부 서비스를 통해 3D 모델로 변환합니다. 이 노드는 작업 생성부터 최종 3D 모델 파일 다운로드까지 전체 프로세스를 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 3D 모델로 변환할 입력 이미지입니다. 여러 이미지를 제공할 수 있습니다. | IMAGE | 예 | - | +| `시드` | 생성을 위한 무작위 시드 값입니다(기본값: 0). 0으로 설정하면 무작위 시드가 사용됩니다. | INT | 아니요 | 0-65535 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `GLB` | 생성된 3D 모델의 파일 경로입니다(하위 호환성 전용). | STRING | +| `GLB` | GLB 형식으로 생성된 3D 모델입니다. | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Sketch/ko.md) + +--- +**Source fingerprint (SHA-256):** `d3bc71e6a44c11cbeff25351d561e99a7f09ed8ce3544d2968a873b6796512da` diff --git a/ko/built-in-nodes/Rodin3D_Smooth.mdx b/ko/built-in-nodes/Rodin3D_Smooth.mdx new file mode 100644 index 000000000..f00a603a7 --- /dev/null +++ b/ko/built-in-nodes/Rodin3D_Smooth.mdx @@ -0,0 +1,31 @@ +--- +title: "Rodin3D_Smooth - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Smooth node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Rodin3D_Smooth" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md) + +Rodin 3D Smooth 노드는 Rodin API를 사용하여 입력 이미지를 처리하고 부드러운 3D 모델로 변환함으로써 3D 에셋을 생성합니다. 여러 이미지를 입력으로 받아 다운로드 가능한 3D 모델 파일을 출력합니다. 이 노드는 작업 생성, 상태 폴링, 파일 다운로드를 포함한 전체 생성 과정을 자동으로 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 3D 모델 생성에 사용할 입력 이미지입니다. 여러 이미지를 제공할 수 있습니다. | IMAGE | 예 | - | +| `시드` | 생성 일관성을 위한 무작위 시드 값입니다. | INT | 예 | - | +| `재질 유형` | 3D 모델에 적용할 재질 유형입니다. | STRING | 예 | - | +| `폴리곤 수` | 생성된 3D 모델의 목표 폴리곤 수입니다. 메시 품질과 세부 수준을 결정합니다. | STRING | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `GLB` | 다운로드된 3D 모델의 파일 경로입니다(하위 호환성 전용). | STRING | +| `GLB` | GLB 형식으로 생성된 3D 모델입니다. | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Smooth/ko.md) + +--- +**Source fingerprint (SHA-256):** `18783d4a3010234a3640d20c73cdd78e35a0eef7090bd433dba0fcc58e35ad3f` diff --git a/ko/built-in-nodes/RunwayFirstLastFrameNode.mdx b/ko/built-in-nodes/RunwayFirstLastFrameNode.mdx new file mode 100644 index 000000000..7acc26f4f --- /dev/null +++ b/ko/built-in-nodes/RunwayFirstLastFrameNode.mdx @@ -0,0 +1,37 @@ +--- +title: "RunwayFirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RunwayFirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RunwayFirstLastFrameNode" +icon: "circle" +mode: wide +--- +Runway 첫 번째-마지막 프레임-투-비디오 노드는 첫 번째 및 마지막 키프레임과 텍스트 프롬프트를 업로드하여 비디오를 생성합니다. Runway의 Gen-3 모델을 사용하여 제공된 시작 프레임과 종료 프레임 간의 부드러운 전환을 만듭니다. 이는 종료 프레임이 시작 프레임과 크게 다른 복잡한 전환에 특히 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 생성을 위한 텍스트 프롬프트 (기본값: 빈 문자열) | STRING | 예 | N/A | +| `start_frame` | 비디오에 사용할 시작 프레임 | IMAGE | 예 | N/A | +| `end_frame` | 비디오에 사용할 종료 프레임. gen3a_turbo에서만 지원됩니다. | IMAGE | 예 | N/A | +| `duration` | 비디오 길이(초) (기본값: "5") | COMBO | 예 | `"5"`
`"10"` | +| `ratio` | 생성된 비디오의 화면 비율 (기본값: "16:9") | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"` | +| `seed` | 생성을 위한 무작위 시드. 무작위 시드를 사용하려면 0으로 설정합니다 (기본값: 0). | INT | 아니요 | 0 ~ 4294967295 | + +**매개변수 제약 조건:** + +- `prompt`는 최소 1자 이상이어야 합니다 +- `start_frame`과 `end_frame`은 모두 최대 크기가 7999x7999 픽셀이어야 합니다 +- `start_frame`과 `end_frame`은 모두 화면 비율이 0.5에서 2.0 사이여야 합니다 +- `end_frame` 매개변수는 gen3a_turbo 모델을 사용할 때만 지원됩니다 + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 시작 프레임과 종료 프레임 사이를 전환하는 생성된 비디오 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `57b72c1143b7053272107403279e1f84919cbfe71c57ca4f4e21b4324f7a5346` diff --git a/ko/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx b/ko/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx new file mode 100644 index 000000000..144043e09 --- /dev/null +++ b/ko/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx @@ -0,0 +1,37 @@ +--- +title: "RunwayImageToVideoNodeGen3a - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RunwayImageToVideoNodeGen3a node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RunwayImageToVideoNodeGen3a" +icon: "circle" +mode: wide +--- +# Runway 이미지-투-비디오(Gen3a Turbo) 노드 + +Runway 이미지-투-비디오(Gen3a Turbo) 노드는 Runway의 Gen3a Turbo 모델을 사용하여 단일 시작 프레임에서 비디오를 생성합니다. 텍스트 프롬프트와 초기 이미지 프레임을 입력받아 지정된 지속 시간과 화면 비율에 따라 비디오 시퀀스를 생성합니다. 이 노드는 Runway의 API에 연결하여 원격으로 생성을 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 생성을 위한 텍스트 프롬프트 (기본값: "") | STRING | 예 | 해당 없음 | +| `start_frame` | 비디오에 사용할 시작 프레임 | IMAGE | 예 | 해당 없음 | +| `duration` | 비디오 길이(초) (기본값: "5") | COMBO | 예 | `"5"`
`"10"` | +| `ratio` | 생성된 비디오의 화면 비율 (기본값: "1280x720") | COMBO | 예 | `"1280x720"`
`"720x1280"`
`"1920x1080"`
`"1080x1920"`
`"1080x1080"` | +| `seed` | 생성을 위한 무작위 시드 (기본값: 0) | INT | 아니요 | 0 ~ 4294967295 | + +**매개변수 제약 조건:** + +- `start_frame`의 크기는 7999x7999 픽셀을 초과할 수 없습니다. +- `start_frame`의 화면 비율은 0.5에서 2.0 사이여야 합니다. +- `prompt`는 최소 한 글자 이상이어야 합니다(비어 있을 수 없음). + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 시퀀스 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/ko.md) + +--- +**Source fingerprint (SHA-256):** `4f3270ce070ce50580699292e21c5f9e3b1a56dd8ac981f67a9026ef6fc8ed76` diff --git a/ko/built-in-nodes/RunwayImageToVideoNodeGen4.mdx b/ko/built-in-nodes/RunwayImageToVideoNodeGen4.mdx new file mode 100644 index 000000000..07a531074 --- /dev/null +++ b/ko/built-in-nodes/RunwayImageToVideoNodeGen4.mdx @@ -0,0 +1,35 @@ +--- +title: "RunwayImageToVideoNodeGen4 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RunwayImageToVideoNodeGen4 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RunwayImageToVideoNodeGen4" +icon: "circle" +mode: wide +--- +Runway Image to Video (Gen4 Turbo) 노드는 Runway의 Gen4 Turbo 모델을 사용하여 단일 시작 프레임에서 비디오를 생성합니다. 텍스트 프롬프트와 초기 이미지 프레임을 입력받아, 지정된 지속 시간 및 화면 비율 설정에 따라 비디오 시퀀스를 생성합니다. 이 노드는 시작 프레임을 Runway의 API에 업로드하고 생성된 비디오를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 생성을 위한 텍스트 프롬프트 (기본값: 빈 문자열) | STRING | 예 | - | +| `start_frame` | 비디오에 사용할 시작 프레임 | IMAGE | 예 | - | +| `duration` | 비디오 길이(초) (기본값: "5") | COMBO | 예 | `"5"`
`"10"` | +| `ratio` | 생성된 비디오의 화면 비율 (기본값: "1024:1024") | COMBO | 예 | `"1024:1024"`
`"1280:720"`
`"720:1280"`
`"1920:1080"`
`"1080:1920"`
`"2048:1080"`
`"1080:2048"` | +| `seed` | 생성을 위한 무작위 시드 (기본값: 0) | INT | 아니요 | 0 ~ 4294967295 | + +**매개변수 제약 조건:** + +- `start_frame` 이미지의 크기는 7999x7999 픽셀을 초과할 수 없습니다. +- `start_frame` 이미지의 화면 비율은 0.5에서 2.0 사이여야 합니다. +- `prompt`는 최소 한 글자 이상이어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력 프레임과 프롬프트를 기반으로 생성된 비디오 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/ko.md) + +--- +**Source fingerprint (SHA-256):** `ebb5f1cd5e6bf6e0fcfb4910c774c087980daf9a1987900ad966120608b924e7` diff --git a/ko/built-in-nodes/RunwayTextToImageNode.mdx b/ko/built-in-nodes/RunwayTextToImageNode.mdx new file mode 100644 index 000000000..a1bd72f12 --- /dev/null +++ b/ko/built-in-nodes/RunwayTextToImageNode.mdx @@ -0,0 +1,31 @@ +--- +title: "RunwayTextToImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RunwayTextToImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RunwayTextToImageNode" +icon: "circle" +mode: wide +--- +# Runway 텍스트-이미지 노드 + +Runway 텍스트-이미지 노드는 Runway의 Gen 4 모델을 사용하여 텍스트 프롬프트로부터 이미지를 생성합니다. 텍스트 설명을 제공하고 선택적으로 참조 이미지를 포함하여 이미지 생성 과정을 안내할 수 있습니다. 이 노드는 API 통신을 처리하고 생성된 이미지를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 생성을 위한 텍스트 프롬프트 (기본값: "") | STRING | 예 | - | +| `ratio` | 생성된 이미지의 가로세로 비율 | COMBO | 예 | "16:9"
"1:1"
"21:9"
"2:3"
"3:2"
"4:5"
"5:4"
"9:16"
"9:21" | +| `reference_image` | 생성을 안내하는 선택적 참조 이미지 | IMAGE | 아니요 | - | + +**참고:** 참조 이미지의 크기는 7999x7999 픽셀을 초과할 수 없으며 가로세로 비율은 0.5에서 2.0 사이여야 합니다. 참조 이미지가 제공되면 이미지 생성 과정을 안내합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 텍스트 프롬프트와 선택적 참조 이미지를 기반으로 생성된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayTextToImageNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `140f8e6b07216892d84f2d7fbc3afaf1c390e98ddedf27d4926032066a783f67` diff --git a/ko/built-in-nodes/SAM3_Detect.mdx b/ko/built-in-nodes/SAM3_Detect.mdx new file mode 100644 index 000000000..5cd5015dc --- /dev/null +++ b/ko/built-in-nodes/SAM3_Detect.mdx @@ -0,0 +1,47 @@ +--- +title: "SAM3_Detect - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_Detect node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_Detect" +icon: "circle" +mode: wide +--- +# SAM3 Detect 노드 + +## 개요 + +SAM3 Detect 노드는 텍스트 설명, 경계 상자 또는 포인트 프롬프트를 사용하여 개방형 어휘 탐지 및 분할을 수행합니다. 텍스트로 설명하는 내용, 상자를 그리는 위치, 또는 포인트를 클릭하는 위치에 따라 이미지에서 객체를 식별하고 분할할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 탐지 및 분할에 사용할 SAM3 모델 | MODEL | 예 | - | +| `image` | 처리할 입력 이미지 | IMAGE | 예 | - | +| `conditioning` | CLIPTextEncode의 텍스트 컨디셔닝. 텍스트 프롬프트를 사용한 탐지 시 필수 | CONDITIONING | 아니요 | - | +| `bboxes` | 분할할 경계 상자. 단일 상자(모든 프레임에 적용), 상자 목록(모든 프레임에 적용), 또는 목록의 목록(프레임별 상자)으로 제공 가능. 텍스트 컨디셔닝 없이 제공 시 각 상자 내부를 분할 | BOUNDING_BOX | 아니요 | - | +| `positive_coords` | JSON 형식의 양성 포인트 프롬프트 `[{"x": int, "y": int}, ...]` (픽셀 좌표 사용). 분할에 포함하려는 포인트 | STRING | 아니요 | - | +| `negative_coords` | JSON 형식의 음성 포인트 프롬프트 `[{"x": int, "y": int}, ...]` (픽셀 좌표 사용). 분할에서 제외하려는 포인트 | STRING | 아니요 | - | +| `threshold` | 텍스트 기반 탐지의 신뢰도 임계값. 이 값 이상의 점수를 가진 탐지만 유지 (기본값: 0.5) | FLOAT | 아니요 | 0.0 ~ 1.0 | +| `refine_iterations` | SAM 디코더 정제 반복 횟수. 높은 값은 마스크 품질을 향상시킬 수 있음. 정제 없이 원시 탐지기 마스크를 사용하려면 0으로 설정 (기본값: 2) | INT | 아니요 | 0 ~ 5 | +| `individual_masks` | 활성화 시 감지된 각 객체에 대해 개별 마스크를 출력하며, 단일 마스크로 결합하지 않음 (기본값: False) | BOOLEAN | 아니요 | True/False | + +### 매개변수 제약 조건 및 참고 사항 + +- **텍스트 프롬프트**: 텍스트 기반 탐지를 사용하려면 `conditioning` 입력을 제공해야 합니다. 텍스트 컨디셔닝이 제공되면 노드는 이미지에서 텍스트 기반 탐지를 실행합니다. +- **상자 프롬프트**: 텍스트 컨디셔닝 없이 `bboxes`가 제공되면 노드는 각 경계 상자 내부 영역을 분할합니다. +- **포인트 프롬프트**: `positive_coords` 또는 `negative_coords`가 제공되면 노드는 포인트 기반 분할을 사용합니다. 포인트는 모델의 내부 해상도로 자동 조정됩니다. +- **여러 프롬프트 유형**: 다양한 프롬프트 유형을 결합할 수 있습니다. 예를 들어, 텍스트 탐지를 특정 영역으로 제한하기 위해 텍스트 컨디셔닝과 경계 상자를 함께 제공할 수 있습니다. +- **배치 처리**: 노드는 배치 이미지를 지원합니다. 여러 프레임을 처리할 때 목록의 목록 형식을 사용하여 프레임별로 경계 상자를 제공할 수 있습니다. +- **포인트의 JSON 형식**: 포인트 좌표는 `[{"x": 100, "y": 200}, {"x": 150, "y": 250}]` 형식의 유효한 JSON 문자열로 제공되어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `bboxes` | 분할 마스크. `individual_masks`가 False(기본값)인 경우 프레임당 단일 결합 마스크를 반환합니다. True인 경우 감지된 각 객체에 대한 개별 마스크를 반환합니다 | MASK | +| `bboxes` | 좌표와 신뢰도 점수가 포함된 감지된 경계 상자. 각 상자에는 `x`, `y`, `width`, `height` 및 `score` 값이 포함됩니다 | BOUNDING_BOX | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_Detect/ko.md) + +--- +**Source fingerprint (SHA-256):** `d073bda7eca934f3c64e1be740f5fb5249d27046a8be5902ea5d2245d5f679ea` diff --git a/ko/built-in-nodes/SAM3_TrackPreview.mdx b/ko/built-in-nodes/SAM3_TrackPreview.mdx new file mode 100644 index 000000000..c8036b983 --- /dev/null +++ b/ko/built-in-nodes/SAM3_TrackPreview.mdx @@ -0,0 +1,30 @@ +--- +title: "SAM3_TrackPreview - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_TrackPreview node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_TrackPreview" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 추적된 객체의 비디오 미리보기를 생성하며, 각 추적된 객체를 고유한 색상 오버레이와 숫자 레이블로 표시합니다. 이미지나 비디오 텐서를 출력하지 않는 대신, 결과 미리보기 비디오를 임시 파일에 직접 저장합니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `track_data` | SAM3 추적 노드에서 생성된 패킹된 마스크와 객체 정보가 포함된 추적 데이터입니다. | TRACK_DATA | 예 | - | +| `images` | 미리보기의 배경으로 사용할 선택적 입력 이미지입니다. 제공되지 않으면 검은색 배경이 사용됩니다. | IMAGE | 아니요 | - | +| `opacity` | 추적된 객체에 적용되는 색상 오버레이의 불투명도입니다 (기본값: 0.5). | FLOAT | 아니요 | 0.0 ~ 1.0 (단계: 0.05) | +| `fps` | 출력 비디오의 프레임 속도입니다 (기본값: 24.0). | FLOAT | 아니요 | 1.0 ~ 120.0 (단계: 1.0) | + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `ui` | 생성된 미리보기 비디오를 표시하는 UI 요소입니다. 텐서 데이터는 반환되지 않습니다. | PREVIEW_VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackPreview/ko.md) + +--- +**Source fingerprint (SHA-256):** `8300d4fa89c7bbc481ac9a59868ede0e3c9413faa63d56c16a4f603ef878e877` diff --git a/ko/built-in-nodes/SAM3_TrackToMask.mdx b/ko/built-in-nodes/SAM3_TrackToMask.mdx new file mode 100644 index 000000000..a7a588625 --- /dev/null +++ b/ko/built-in-nodes/SAM3_TrackToMask.mdx @@ -0,0 +1,32 @@ +--- +title: "SAM3_TrackToMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_TrackToMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_TrackToMask" +icon: "circle" +mode: wide +--- +다음은 주어진 영어 문서를 한국어로 번역한 결과입니다. + +--- + +## 개요 + +SAM3 추적 세션에서 특정 추적 객체를 인덱스 번호로 선택하여 단일 출력 마스크로 결합합니다. 이를 통해 추적 결과에서 유지할 객체와 무시할 객체를 선택할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `track_data` | SAM3 추적기 노드의 출력인 추적 데이터로, 압축된 마스크와 원본 이미지 크기를 포함합니다. | SAM3TRACKDATA | 예 | N/A | +| `object_indices` | 출력 마스크에 포함할 쉼표로 구분된 객체 인덱스입니다(예: '0,2,3'). 비워두면 모든 추적 객체가 포함됩니다. | STRING | 아니요 | 쉼표로 구분된 정수 목록 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `masks` | 각 프레임에 대한 단일 이진 마스크로, 선택된 객체가 하나의 마스크로 결합됩니다. 객체가 선택되지 않았거나 추적 데이터가 없는 경우 0 마스크를 반환합니다. | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackToMask/ko.md) + +--- +**Source fingerprint (SHA-256):** `2da82effc4cdc6655d0d37e281858bf33f7b62d9056629ec810e3ff9b2e7b5a6` diff --git a/ko/built-in-nodes/SAM3_VideoTrack.mdx b/ko/built-in-nodes/SAM3_VideoTrack.mdx new file mode 100644 index 000000000..c45a93b38 --- /dev/null +++ b/ko/built-in-nodes/SAM3_VideoTrack.mdx @@ -0,0 +1,35 @@ +--- +title: "SAM3_VideoTrack - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_VideoTrack node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_VideoTrack" +icon: "circle" +mode: wide +--- +# 개요 + +SAM3의 메모리 기반 추적기를 사용하여 비디오 프레임 간 객체를 추적합니다. 이 노드는 비디오 프레임 시퀀스를 처리하고 프레임 간 객체 식별자를 유지하며, 초기 마스크 또는 텍스트 프롬프트를 사용하여 추적할 대상을 정의합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `images` | 배치된 이미지 형태의 비디오 프레임 | IMAGE | 예 | 배치된 비디오 프레임 | +| `model` | 추적에 사용할 SAM3 모델 | MODEL | 예 | SAM3 모델 | +| `initial_mask` | 추적할 첫 번째 프레임의 마스크 (객체당 하나씩). `conditioning`이 제공되지 않은 경우 필수입니다. | MASK | 아니요 | 객체당 하나의 마스크 | +| `conditioning` | 추적 중 새 객체 감지를 위한 텍스트 컨디셔닝. `initial_mask`가 제공되지 않은 경우 필수입니다. | CONDITIONING | 아니요 | 텍스트 컨디셔닝 | +| `detection_threshold` | 텍스트 프롬프트 기반 감지를 위한 점수 임계값 | FLOAT | 아니요 | 0.0 ~ 1.0 (기본값: 0.5) | +| `max_objects` | 최대 추적 객체 수. 초기 마스크도 이 제한에 포함됩니다. 0은 내부 최대값인 64를 사용합니다. | INT | 아니요 | 0 ~ 64 (기본값: 0) | +| `detect_interval` | N 프레임마다 감지 실행 (1=매 프레임). 값이 높을수록 연산량이 절약됩니다. | INT | 아니요 | 1 ~ 무제한 (기본값: 1) | + +**참고:** `initial_mask` 또는 `conditioning` 중 하나는 반드시 제공해야 합니다. 둘 다 생략하면 노드에서 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `track_data` | 모든 비디오 프레임에 걸친 객체 마스크 및 메타데이터를 포함하는 추적 데이터 | SAM3TrackData | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_VideoTrack/ko.md) + +--- +**Source fingerprint (SHA-256):** `30768bdf5839c1d7b984675e68a127a27f21b17724a2dc885e27f00c272db3cb` diff --git a/ko/built-in-nodes/SDPoseDrawKeypoints.mdx b/ko/built-in-nodes/SDPoseDrawKeypoints.mdx new file mode 100644 index 000000000..acd597921 --- /dev/null +++ b/ko/built-in-nodes/SDPoseDrawKeypoints.mdx @@ -0,0 +1,36 @@ +--- +title: "SDPoseDrawKeypoints - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDPoseDrawKeypoints node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SDPoseDrawKeypoints" +icon: "circle" +mode: wide +--- +# SDPoseDrawKeypoints 노드 + +SDPoseDrawKeypoints 노드는 포즈 추정 데이터(키포인트)를 가져와 빈 캔버스에 시각적 골격 형태로 그립니다. 신체, 손, 얼굴, 발 등 포즈의 다양한 부분을 선택적으로 그릴 수 있으며, 선 두께와 점 크기를 사용자 정의할 수 있습니다. 결과 이미지는 시각화 용도로 사용하거나 포즈 이미지가 필요한 다른 노드의 입력으로 사용할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `keypoints` | 그릴 포즈 키포인트 데이터입니다. 이 데이터는 일반적으로 포즈 감지 노드에서 가져옵니다. | POSE_KEYPOINT | 예 | - | +| `draw_body` | 주요 신체 골격을 그릴지 여부를 제어합니다(기본값: True). | BOOLEAN | 아니요 | - | +| `draw_hands` | 손 키포인트를 그릴지 여부를 제어합니다(기본값: True). | BOOLEAN | 아니요 | - | +| `draw_face` | 얼굴 키포인트를 그릴지 여부를 제어합니다(기본값: True). | BOOLEAN | 아니요 | - | +| `draw_feet` | 발 키포인트를 그릴지 여부를 제어합니다(기본값: False). | BOOLEAN | 아니요 | - | +| `stick_width` | 신체 골격을 그리는 데 사용되는 선의 두께입니다(기본값: 4). | INT | 아니요 | 1 ~ 10 | +| `face_point_size` | 얼굴 키포인트를 그리는 데 사용되는 점의 크기입니다(기본값: 3). | INT | 아니요 | 1 ~ 10 | +| `score_threshold` | 키포인트가 그려지기 위해 필요한 최소 신뢰도 점수입니다. 이 값보다 낮은 점수의 키포인트는 무시됩니다(기본값: 0.3). | FLOAT | 아니요 | 0.0 ~ 1.0 | + +**참고:** `keypoints` 입력이 비어 있거나 `None`인 경우, 노드는 빈 64x64 이미지를 출력합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 포즈 키포인트가 그려진 이미지입니다. 이미지 크기는 입력 키포인트 데이터에 지정된 `canvas_height` 및 `canvas_width`와 일치합니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseDrawKeypoints/ko.md) + +--- +**Source fingerprint (SHA-256):** `c01397ed3608b65b737b60c2ae50919e0217cfe63b3695b68f176c2d69faa9c1` diff --git a/ko/built-in-nodes/SDPoseFaceBBoxes.mdx b/ko/built-in-nodes/SDPoseFaceBBoxes.mdx new file mode 100644 index 000000000..c75cdbe4d --- /dev/null +++ b/ko/built-in-nodes/SDPoseFaceBBoxes.mdx @@ -0,0 +1,31 @@ +--- +title: "SDPoseFaceBBoxes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDPoseFaceBBoxes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SDPoseFaceBBoxes" +icon: "circle" +mode: wide +--- +# SDPoseFaceBBoxes 노드 + +SDPoseFaceBBoxes 노드는 포즈 키포인트 데이터를 처리하여 사람의 얼굴 주변에 경계 상자를 감지하고 생성합니다. 프레임 내 각 사람의 2D 얼굴 키포인트를 분석하고, 해당 지점을 기반으로 경계 상자를 계산하며, 상자의 크기와 모양을 조정할 수 있습니다. 생성된 경계 상자는 SDPoseKeypointExtractor와 같은 SDPose 워크플로우의 다른 노드와 호환되는 형식으로 제공됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `keypoints` | 프레임별로 감지된 사람과 그들의 신체/얼굴 랜드마크에 대한 정보를 포함하는 포즈 키포인트 데이터입니다. | POSE_KEYPOINT | 예 | - | +| `scale` | 감지된 각 얼굴 주변 경계 상자 영역의 배율입니다. 값이 클수록 더 큰 상자가 생성됩니다. (기본값: 1.5) | FLOAT | 아니요 | 1.0 - 10.0 | +| `force_square` | 더 짧은 경계 상자 축을 확장하여 자르기 영역이 항상 정사각형이 되도록 합니다. (기본값: True) | BOOLEAN | 아니요 | - | + +**참고:** `keypoints` 입력은 SDPoseKeypointExtractor와 같은 노드에서 생성된 특정 형식이어야 하며, 각 사람에 대한 `canvas_height`, `canvas_width`, `face_keypoints_2d` 데이터가 포함된 `people` 데이터를 포함해야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `bboxes` | 각 프레임에 대한 얼굴 경계 상자 목록입니다. 각 경계 상자는 왼쪽 상단 좌표(`x`, `y`), `width`, `height`로 정의됩니다. 이 출력은 SDPoseKeypointExtractor 노드의 `bboxes` 입력과 호환됩니다. | BOUNDINGBOX | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseFaceBBoxes/ko.md) + +--- +**Source fingerprint (SHA-256):** `bffbcddb882f6743a6cace6a4884fa5a257b746897c79ba9260c15260fab874e` diff --git a/ko/built-in-nodes/SDPoseKeypointExtractor.mdx b/ko/built-in-nodes/SDPoseKeypointExtractor.mdx new file mode 100644 index 000000000..9737095ca --- /dev/null +++ b/ko/built-in-nodes/SDPoseKeypointExtractor.mdx @@ -0,0 +1,37 @@ +--- +title: "SDPoseKeypointExtractor - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDPoseKeypointExtractor node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SDPoseKeypointExtractor" +icon: "circle" +mode: wide +--- +# SDPoseKeypointExtractor + +SDPoseKeypointExtractor 노드는 SDPose 모델을 사용하여 입력 이미지에서 사람의 포즈 키포인트를 감지합니다. 전체 이미지 또는 경계 상자로 정의된 특정 영역을 처리할 수 있으며, 각 사람의 좌표와 각 키포인트의 신뢰도 점수를 포함하는 OpenPose 형식으로 감지된 키포인트를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 키포인트 감지에 사용되는 SDPose 모델입니다. `heatmap_head` 속성을 가진 모델이어야 하며, 특히 SDPose 저장소의 모델이어야 합니다. | MODEL | 예 | - | +| `vae` | 입력 이미지를 처리를 위해 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델입니다. | VAE | 예 | - | +| `image` | 포즈 키포인트를 추출할 입력 이미지 또는 이미지 배치입니다. | IMAGE | 예 | - | +| `batch_size` | 전체 이미지 모드(즉, `bboxes`가 제공되지 않은 경우)에서 한 번에 처리할 이미지 수입니다. 이를 통해 처리 속도를 높일 수 있습니다. (기본값: 16) | INT | 아니요 | 1 ~ 10000 | +| `bboxes` | 더 정확한 감지를 위한 선택적 경계 상자입니다. 다중 인물 감지에 필요합니다. 제공된 경우 노드는 각 지정된 영역에서 키포인트를 추출합니다. | BOUNDINGBOX | 아니요 | - | + +**매개변수 제약 조건:** +* `model` 입력은 특정 SDPose 모델이어야 합니다. 제공된 모델에 `heatmap_head` 속성이 없으면 노드에서 오류가 발생합니다. +* 노드는 `bboxes` 입력에 따라 두 가지 모드로 작동합니다: + 1. **경계 상자 모드:** `bboxes`가 제공되면 각 지정된 영역을 개별적으로 처리합니다. 단일 이미지에서 여러 사람을 감지하는 데 필요합니다. + 2. **전체 이미지 모드:** `bboxes`가 제공되지 않으면 전체 이미지를 배치로 처리합니다. `batch_size` 매개변수는 이 모드에서만 적용됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `keypoints` | OpenPose 프레임 형식(캔버스 너비, 캔버스 높이, 사람)의 키포인트입니다. 출력에는 감지된 사람들이 포함되며, 각 사람은 키포인트 좌표(x, y) 배열과 해당 신뢰도 점수를 가집니다. | POSE_KEYPOINT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseKeypointExtractor/ko.md) + +--- +**Source fingerprint (SHA-256):** `7903b51c9137aa08bb8843362740fcf93cea9c09d142bd1db3b5eee945c853e4` diff --git a/ko/built-in-nodes/SDTurboScheduler.mdx b/ko/built-in-nodes/SDTurboScheduler.mdx new file mode 100644 index 000000000..47f48f6f4 --- /dev/null +++ b/ko/built-in-nodes/SDTurboScheduler.mdx @@ -0,0 +1,24 @@ +--- +title: "SDTurboScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDTurboScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SDTurboScheduler" +icon: "circle" +mode: wide +--- +SDTurboScheduler는 이미지 샘플링을 위한 시그마 값 시퀀스를 생성하도록 설계되었으며, 지정된 노이즈 제거 수준과 단계 수에 따라 시퀀스를 조정합니다. 특정 모델의 샘플링 기능을 활용하여 이러한 시그마 값을 생성하며, 이 값은 이미지 생성 중 노이즈 제거 과정을 제어하는 데 중요합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 모델 매개변수는 시그마 값 생성을 위해 사용될 생성 모델을 지정합니다. 스케줄러의 특정 샘플링 동작과 기능을 결정하는 데 중요합니다. | `MODEL` | +| `스텝 수` | 단계 매개변수는 생성될 시그마 시퀀스의 길이를 결정하며, 노이즈 제거 과정의 세분성에 직접적인 영향을 미칩니다. | `INT` | +| `노이즈 제거양` | 노이즈 제거 매개변수는 시그마 시퀀스의 시작점을 조정하여, 이미지 생성 중 적용되는 노이즈 제거 수준을 더 세밀하게 제어할 수 있도록 합니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sigmas` | 지정된 모델, 단계 및 노이즈 제거 수준을 기반으로 생성된 시그마 값의 시퀀스입니다. 이 값들은 이미지 생성에서 노이즈 제거 과정을 제어하는 데 필수적입니다. | `SIGMAS` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDTurboScheduler/ko.md) diff --git a/ko/built-in-nodes/SD_4XUpscale_Conditioning.mdx b/ko/built-in-nodes/SD_4XUpscale_Conditioning.mdx new file mode 100644 index 000000000..7cece3aa6 --- /dev/null +++ b/ko/built-in-nodes/SD_4XUpscale_Conditioning.mdx @@ -0,0 +1,31 @@ +--- +title: "SD_4XUpscale_Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SD_4XUpscale_Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SD_4XUpscale_Conditioning" +icon: "circle" +mode: wide +--- +SD_4XUpscale_Conditioning 노드는 확산 모델을 사용하여 이미지를 업스케일링하기 위한 컨디셔닝 데이터를 준비합니다. 입력 이미지와 컨디셔닝 데이터를 받아 스케일링과 노이즈 증강을 적용하여 업스케일링 과정을 안내하는 수정된 컨디셔닝을 생성합니다. 이 노드는 업스케일된 차원에 대한 잠재 표현과 함께 양성 및 음성 컨디셔닝을 모두 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 업스케일링할 입력 이미지 | IMAGE | 예 | - | +| `긍정 조건` | 원하는 콘텐츠 생성을 안내하는 양성 컨디셔닝 데이터 | CONDITIONING | 예 | - | +| `부정 조건` | 원하지 않는 콘텐츠 생성을 억제하는 음성 컨디셔닝 데이터 | CONDITIONING | 예 | - | +| `확대율` | 입력 이미지에 적용되는 스케일링 비율 (기본값: 4.0) | FLOAT | 아니요 | 0.0 - 10.0 | +| `노이즈 증강` | 업스케일링 과정에서 추가할 노이즈의 양 (기본값: 0.0) | FLOAT | 아니요 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 업스케일링 정보가 적용된 수정된 양성 컨디셔닝 | CONDITIONING | +| `잠재 이미지` | 업스케일링 정보가 적용된 수정된 음성 컨디셔닝 | CONDITIONING | +| `latent` | 업스케일된 차원에 맞는 빈 잠재 표현 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SD_4XUpscale_Conditioning/ko.md) + +--- +**Source fingerprint (SHA-256):** `ede1ea8f5a95e7f9e52070b5132a4ed3e87f92230d14a74b9d713f547c74d785` diff --git a/ko/built-in-nodes/SUPIRApply.mdx b/ko/built-in-nodes/SUPIRApply.mdx new file mode 100644 index 000000000..f71b99358 --- /dev/null +++ b/ko/built-in-nodes/SUPIRApply.mdx @@ -0,0 +1,34 @@ +--- +title: "SUPIRApply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SUPIRApply node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SUPIRApply" +icon: "circle" +mode: wide +--- +SUPIRApply 노드는 확산 모델에 SUPIR 모델 패치를 적용합니다. 이 패치를 사용하여 모델의 동작을 수정함으로써 샘플링 과정에서 입력 이미지의 안내를 통합할 수 있습니다. 또한 시간에 따른 안내 강도를 조정하는 컨트롤과 원본 입력에 대한 충실도를 유지하는 데 도움이 되는 선택적 기능을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | SUPIR 패치가 적용될 기본 확산 모델입니다. | MODEL | 예 | - | +| `model_patch` | 모델 수정을 위한 가중치와 구성을 포함하는 SUPIR 모델 패치입니다. | MODELPATCH | 예 | - | +| `vae` | 입력 이미지를 잠재 표현으로 인코딩하는 데 사용되는 VAE(변분 오토인코더)입니다. | VAE | 예 | - | +| `image` | 생성 과정을 안내하는 데 사용되는 입력 이미지입니다. 처음 세 개의 색상 채널(RGB)만 사용됩니다. | IMAGE | 예 | - | +| `strength_start` | 샘플링 시작 시(높은 시그마)의 제어 강도입니다. 이미지 안내의 영향이 이 값에서 시작됩니다. (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | +| `strength_end` | 샘플링 종료 시(낮은 시그마)의 제어 강도입니다. 시작 값에서 선형적으로 보간됩니다. 이미지 안내의 영향이 이 값에서 종료됩니다. (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | +| `restore_cfg` | 노이즈 제거된 출력을 입력 잠재 표현 쪽으로 끌어당깁니다. 값이 높을수록 입력에 대한 충실도가 강화됩니다. 0으로 설정하면 비활성화됩니다. (기본값: 4.0) | FLOAT | 아니요 | 0.0 - 20.0 | +| `restore_cfg_s_tmin` | restore_cfg가 비활성화되는 시그마 임계값입니다. (기본값: 0.05) | FLOAT | 아니요 | 0.0 - 1.0 | + +*참고:* `image` 입력은 RGB 채널만 추출하도록 처리됩니다. 알파 채널이 있는 이미지가 제공되면 알파 채널은 무시됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | SUPIR 패치가 적용되고 추가적인 사후 CFG 함수가 구성된 확산 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SUPIRApply/ko.md) + +--- +**Source fingerprint (SHA-256):** `32ba7a337060b52d4c9085a6a2bc209c737e374dee4291d431d2caf768fc2817` diff --git a/ko/built-in-nodes/SV3D_Conditioning.mdx b/ko/built-in-nodes/SV3D_Conditioning.mdx new file mode 100644 index 000000000..874089331 --- /dev/null +++ b/ko/built-in-nodes/SV3D_Conditioning.mdx @@ -0,0 +1,33 @@ +--- +title: "SV3D_Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SV3D_Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SV3D_Conditioning" +icon: "circle" +mode: wide +--- +SV3D_Conditioning 노드는 SV3D 모델을 사용하여 3D 비디오 생성을 위한 컨디셔닝 데이터를 준비합니다. 초기 이미지를 받아 CLIP 비전 및 VAE 인코더를 통해 처리하여 포지티브 및 네거티브 컨디셔닝과 잠재 표현을 생성합니다. 이 노드는 지정된 비디오 프레임 수를 기반으로 다중 프레임 비디오 생성을 위한 카메라 고도 및 방위각 시퀀스를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `clip_vision` | 입력 이미지 인코딩에 사용되는 CLIP 비전 모델 | CLIP_VISION | 예 | - | +| `초기 이미지` | 3D 비디오 생성을 위한 시작점 역할을 하는 초기 이미지 | IMAGE | 예 | - | +| `vae` | 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - | +| `너비` | 생성된 비디오 프레임의 출력 너비 (기본값: 576, 8로 나누어 떨어져야 함) | INT | 아니요 | 16 ~ MAX_RESOLUTION | +| `높이` | 생성된 비디오 프레임의 출력 높이 (기본값: 576, 8로 나누어 떨어져야 함) | INT | 아니요 | 16 ~ MAX_RESOLUTION | +| `비디오 프레임` | 비디오 시퀀스에 대해 생성할 프레임 수 (기본값: 21) | INT | 아니요 | 1 ~ 4096 | +| `고도` | 3D 뷰의 카메라 고도 각도(도 단위) (기본값: 0.0) | FLOAT | 아니요 | -90.0 ~ 90.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 이미지 임베딩과 카메라 매개변수를 포함하는 포지티브 컨디셔닝 데이터 (생성용) | CONDITIONING | +| `잠재 데이터` | 대비 생성을 위해 임베딩이 0으로 설정된 네거티브 컨디셔닝 데이터 | CONDITIONING | +| `latent` | 지정된 비디오 프레임 및 해상도와 일치하는 차원을 가진 빈 잠재 텐서 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SV3D_Conditioning/ko.md) + +--- +**Source fingerprint (SHA-256):** `be02939aa4cdd1785eb445034a27d08a90e390a497fa9697fb769f0ce26e6d2f` diff --git a/ko/built-in-nodes/SVD_img2vid_Conditioning.mdx b/ko/built-in-nodes/SVD_img2vid_Conditioning.mdx new file mode 100644 index 000000000..89944eb48 --- /dev/null +++ b/ko/built-in-nodes/SVD_img2vid_Conditioning.mdx @@ -0,0 +1,35 @@ +--- +title: "SVD_img2vid_Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SVD_img2vid_Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SVD_img2vid_Conditioning" +icon: "circle" +mode: wide +--- +SVD_img2vid_Conditioning 노드는 Stable Video Diffusion을 사용한 비디오 생성을 위한 컨디셔닝 데이터를 준비합니다. 초기 이미지를 입력받아 CLIP 비전 및 VAE 인코더를 통해 처리하여 포지티브 및 네거티브 컨디셔닝 쌍과 비디오 생성을 위한 빈 잠재 공간을 생성합니다. 이 노드는 생성된 비디오에서 모션, 프레임 속도 및 증강 수준을 제어하는 데 필요한 매개변수를 설정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `clip_vision` | 입력 이미지를 인코딩하는 CLIP 비전 모델 | CLIP_VISION | 예 | - | +| `초기 이미지` | 비디오 생성을 위한 시작점으로 사용할 초기 이미지 | IMAGE | 예 | - | +| `vae` | 이미지를 잠재 공간으로 인코딩하는 VAE 모델 | VAE | 예 | - | +| `너비` | 출력 비디오 너비 (기본값: 1024, 단계: 8) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오 높이 (기본값: 576, 단계: 8) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `비디오 프레임` | 비디오에서 생성할 프레임 수 (기본값: 14) | INT | 예 | 1 ~ 4096 | +| `모션 버킷 ID` | 생성된 비디오의 모션 양을 제어합니다 (기본값: 127) | INT | 예 | 1 ~ 1023 | +| `fps` | 생성된 비디오의 초당 프레임 수 (기본값: 6) | INT | 예 | 1 ~ 1024 | +| `증강 레벨` | 입력 이미지에 적용할 노이즈 증강 수준 (기본값: 0.0, 단계: 0.01) | FLOAT | 예 | 0.0 ~ 10.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 이미지 임베딩과 비디오 매개변수를 포함한 포지티브 컨디셔닝 데이터 | CONDITIONING | +| `잠재 비디오` | 0으로 설정된 임베딩과 비디오 매개변수를 포함한 네거티브 컨디셔닝 데이터 | CONDITIONING | +| `latent` | 비디오 생성을 위해 준비된 빈 잠재 공간 텐서 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SVD_img2vid_Conditioning/ko.md) + +--- +**Source fingerprint (SHA-256):** `33b295b6f2e459852aaa95d9dca26c724aa2e9ad0f884a1c7760766530a00a09` diff --git a/ko/built-in-nodes/SamplerARVideo.mdx b/ko/built-in-nodes/SamplerARVideo.mdx new file mode 100644 index 000000000..1deb6af91 --- /dev/null +++ b/ko/built-in-nodes/SamplerARVideo.mdx @@ -0,0 +1,25 @@ +--- +title: "SamplerARVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerARVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerARVideo" +icon: "circle" +mode: wide +--- +Sampler AR Video 노드는 Causal Forcing 또는 Self-Forcing 기술을 사용하는 것과 같은 자기회귀 비디오 모델을 위한 특수 샘플링 방법을 제공합니다. 워크플로우 내에서 자기회귀(AR) 루프와 관련된 모든 매개변수를 직접 관리하므로, 모델이 한 번에 한 프레임씩 비디오 프레임을 생성하는 방식을 쉽게 구성할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `num_frame_per_block` | 자기회귀 블록당 프레임 수입니다. 값이 1이면 모델이 한 번에 한 프레임씩(프레임 단위) 생성하고, 값이 3이면 세 프레임을 함께(청크 단위) 생성합니다. 이 설정은 체크포인트의 학습 모드와 일치해야 합니다. 기본값: 1. | INT | 예 | 1~64 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `SAMPLER` | 지정된 자기회귀 매개변수와 함께 "ar_video" 샘플링 함수를 사용하도록 구성된 샘플러 객체입니다. | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerARVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `5b735f98fdde074ee9483503fee0e2322d510aed846336b382a8ea89a363c9e4` diff --git a/ko/built-in-nodes/SamplerCustom.mdx b/ko/built-in-nodes/SamplerCustom.mdx new file mode 100644 index 000000000..585b69e06 --- /dev/null +++ b/ko/built-in-nodes/SamplerCustom.mdx @@ -0,0 +1,31 @@ +--- +title: "SamplerCustom - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerCustom node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerCustom" +icon: "circle" +mode: wide +--- +SamplerCustom 노드는 다양한 애플리케이션을 위한 유연하고 사용자 정의 가능한 샘플링 메커니즘을 제공하도록 설계되었습니다. 이를 통해 사용자는 특정 요구에 맞게 다양한 샘플링 전략을 선택하고 구성할 수 있어 샘플링 프로세스의 적응성과 효율성을 향상시킵니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 'model' 입력 유형은 샘플링에 사용할 모델을 지정하며, 샘플링 동작과 출력을 결정하는 데 중요한 역할을 합니다. | `MODEL` | +| `노이즈 추가` | 'add_noise' 입력 유형은 샘플링 과정에 노이즈를 추가할지 여부를 사용자가 지정할 수 있도록 하며, 생성된 샘플의 다양성과 특성에 영향을 줍니다. | `BOOLEAN` | +| `노이즈 시드` | 'noise_seed' 입력 유형은 노이즈 생성을 위한 시드를 제공하여, 노이즈 추가 시 샘플링 과정의 재현성과 일관성을 보장합니다. | `INT` | +| `cfg` | 'cfg' 입력 유형은 샘플링 과정의 구성을 설정하여, 샘플링 매개변수와 동작을 세부 조정할 수 있도록 합니다. | `FLOAT` | +| `긍정 조건` | 'positive' 입력 유형은 긍정적인 조건화 정보를 나타내며, 지정된 긍정적 속성에 부합하는 샘플을 생성하도록 샘플링 과정을 안내합니다. | `CONDITIONING` | +| `부정 조건` | 'negative' 입력 유형은 부정적인 조건화 정보를 나타내며, 지정된 부정적 속성을 나타내는 샘플이 생성되지 않도록 샘플링 과정을 조정합니다. | `CONDITIONING` | +| `샘플러` | 'sampler' 입력 유형은 사용할 특정 샘플링 전략을 선택하며, 생성된 샘플의 특성과 품질에 직접적인 영향을 미칩니다. | `SAMPLER` | +| `시그마 배열` | 'sigmas' 입력 유형은 샘플링 과정에 사용될 노이즈 수준을 정의하며, 샘플 공간 탐색과 출력의 다양성에 영향을 줍니다. | `SIGMAS` | +| `잠재 데이터` | 'latent_image' 입력 유형은 샘플링 과정을 위한 초기 잠재 이미지를 제공하며, 샘플 생성을 위한 시작점 역할을 합니다. | `LATENT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `디노이즈 출력` | 'output'은 샘플링 과정의 주요 결과를 나타내며, 생성된 샘플을 포함합니다. | `LATENT` | +| `denoised_output` | 'denoised_output'은 노이즈 제거 과정이 적용된 후의 샘플을 나타내며, 생성된 샘플의 선명도와 품질을 향상시킬 수 있습니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustom/ko.md) diff --git a/ko/built-in-nodes/SamplerCustomAdvanced.mdx b/ko/built-in-nodes/SamplerCustomAdvanced.mdx new file mode 100644 index 000000000..f7d64178a --- /dev/null +++ b/ko/built-in-nodes/SamplerCustomAdvanced.mdx @@ -0,0 +1,30 @@ +--- +title: "SamplerCustomAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerCustomAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerCustomAdvanced" +icon: "circle" +mode: wide +--- +**SamplerCustomAdvanced** 노드는 사용자 정의 노이즈, 가이던스 및 샘플링 구성을 사용하여 고급 잠재 공간 샘플링을 수행합니다. 이 노드는 사용자 정의 가능한 노이즈 생성 및 시그마 일정을 통해 안내된 샘플링 과정으로 잠재 이미지를 처리하여, 최종 샘플링 출력과 사용 가능한 경우 노이즈가 제거된 버전을 모두 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `노이즈` | 샘플링 과정을 위한 초기 노이즈 패턴과 시드를 제공하는 노이즈 생성기입니다. | NOISE | 예 | - | +| `가이더` | 샘플링 과정을 원하는 출력 방향으로 안내하는 가이던스 모델입니다. | GUIDER | 예 | - | +| `샘플러` | 생성 중 잠재 공간을 탐색하는 방식을 정의하는 샘플링 알고리즘입니다. | SAMPLER | 예 | - | +| `시그마 배열` | 샘플링 단계 전반에 걸쳐 노이즈 수준을 제어하는 시그마 일정입니다. | SIGMAS | 예 | - | +| `잠재 데이터` | 샘플링의 시작점 역할을 하는 초기 잠재 표현입니다. | LATENT | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `디노이즈 출력` | 샘플링 과정을 완료한 후의 최종 샘플링된 잠재 표현입니다. | LATENT | +| `denoised_output` | 사용 가능한 경우 출력의 노이즈가 제거된 버전이며, 그렇지 않으면 출력과 동일한 값을 반환합니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustomAdvanced/ko.md) + +--- +**Source fingerprint (SHA-256):** `bf711ecc0684ad04babe5c63a246195f358204d203e836587a90feff742929a3` diff --git a/ko/built-in-nodes/SamplerDPMAdaptative.mdx b/ko/built-in-nodes/SamplerDPMAdaptative.mdx new file mode 100644 index 000000000..f72a97715 --- /dev/null +++ b/ko/built-in-nodes/SamplerDPMAdaptative.mdx @@ -0,0 +1,36 @@ +--- +title: "SamplerDPMAdaptative - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDPMAdaptative node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerDPMAdaptative" +icon: "circle" +mode: wide +--- +# SamplerDPMAdaptative 노드 + +SamplerDPMAdaptative 노드는 샘플링 과정에서 단계 크기를 자동으로 조정하는 적응형 DPM(확산 확률 모델) 샘플러를 구현합니다. 허용 오차 기반 오류 제어를 사용하여 최적의 단계 크기를 결정함으로써 계산 효율성과 샘플링 정확도의 균형을 유지합니다. 이 적응형 접근 방식은 필요한 단계 수를 줄이면서도 품질을 유지하는 데 도움이 됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `order` | 샘플러 방법의 차수(기본값: 3) | INT | 예 | 2-3 | +| `rtol` | 오류 제어를 위한 상대 허용 오차(기본값: 0.05) | FLOAT | 예 | 0.0-100.0 | +| `atol` | 오류 제어를 위한 절대 허용 오차(기본값: 0.0078) | FLOAT | 예 | 0.0-100.0 | +| `초기 h` | 초기 단계 크기(기본값: 0.05) | FLOAT | 예 | 0.0-100.0 | +| `pcoeff` | 단계 크기 제어를 위한 비례 계수(기본값: 0.0) | FLOAT | 예 | 0.0-100.0 | +| `icoeff` | 단계 크기 제어를 위한 적분 계수(기본값: 1.0) | FLOAT | 예 | 0.0-100.0 | +| `dcoeff` | 단계 크기 제어를 위한 미분 계수(기본값: 0.0) | FLOAT | 예 | 0.0-100.0 | +| `accept_safety` | 단계 수락을 위한 안전 계수(기본값: 0.81) | FLOAT | 예 | 0.0-100.0 | +| `eta` | 확률성 매개변수(기본값: 0.0) | FLOAT | 예 | 0.0-100.0 | +| `s_noise` | 노이즈 스케일링 계수(기본값: 1.0) | FLOAT | 예 | 0.0-100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 구성된 DPM 적응형 샘플러 인스턴스를 반환합니다 | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMAdaptative/ko.md) + +--- +**Source fingerprint (SHA-256):** `2815ba8c3325d3d099de685edc99e9ff8e90736c1f4bd0188165969179cb99fa` diff --git a/ko/built-in-nodes/SamplerDPMPP_2M_SDE.mdx b/ko/built-in-nodes/SamplerDPMPP_2M_SDE.mdx new file mode 100644 index 000000000..004385852 --- /dev/null +++ b/ko/built-in-nodes/SamplerDPMPP_2M_SDE.mdx @@ -0,0 +1,30 @@ +--- +title: "SamplerDPMPP_2M_SDE - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDPMPP_2M_SDE node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerDPMPP_2M_SDE" +icon: "circle" +mode: wide +--- +# SamplerDPMPP_2M_SDE + +SamplerDPMPP_2M_SDE 노드는 확산 모델을 위한 DPM++ 2M SDE 샘플러를 생성합니다. 이 샘플러는 확률적 미분 방정식과 함께 2차 미분 방정식 솔버를 사용하여 샘플을 생성합니다. 다양한 솔버 유형과 노이즈 처리 옵션을 제공하여 샘플링 과정을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `Solver 유형` | 샘플링 과정에 사용할 미분 방정식 솔버의 유형입니다 | STRING | 예 | `"midpoint"`
`"heun"` | +| `eta` | 샘플링 과정의 확률성을 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 - 100.0 | +| `s_noise` | 샘플링 중 추가되는 노이즈의 양을 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 - 100.0 | +| `노이즈 생성 장치` | 노이즈 계산이 수행되는 장치입니다. "cpu"로 설정하면 샘플러가 CPU 기반 노이즈 생성을 사용하고, "gpu"로 설정하면 GPU 기반 노이즈 생성을 사용하여 잠재적으로 더 빠른 성능을 제공합니다 | STRING | 예 | `"gpu"`
`"cpu"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 샘플링 파이프라인에서 사용할 준비가 된 구성된 샘플러 객체입니다 | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2M_SDE/ko.md) + +--- +**Source fingerprint (SHA-256):** `4a6a16e3494e8270f3707e172f252e7fc4e1b65efbecd3dd086b1a1edc5ba23a` diff --git a/ko/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx b/ko/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx new file mode 100644 index 000000000..ba596e7bf --- /dev/null +++ b/ko/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx @@ -0,0 +1,28 @@ +--- +title: "SamplerDPMPP_2S_Ancestral - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDPMPP_2S_Ancestral node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerDPMPP_2S_Ancestral" +icon: "circle" +mode: wide +--- +# SamplerDPMPP_2S_Ancestral + +SamplerDPMPP_2S_Ancestral 노드는 DPM++ 2S Ancestral 샘플링 방식을 사용하여 이미지를 생성하는 샘플러를 생성합니다. 이 샘플러는 결정론적 요소와 확률적 요소를 결합하여 일관성을 유지하면서도 다양한 결과를 생성합니다. 샘플링 과정 중 무작위성과 노이즈 수준을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `eta` | 샘플링 중 추가되는 확률적 노이즈의 양을 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 - 100.0 | +| `s_noise` | 샘플링 과정에 적용되는 노이즈의 규모를 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 - 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 샘플링 파이프라인에서 사용할 수 있는 구성된 샘플러 객체를 반환합니다 | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2S_Ancestral/ko.md) + +--- +**Source fingerprint (SHA-256):** `9634c96934850f5b746cd7c8b29727396af534133b8d54b6bdac12e9e0975189` diff --git a/ko/built-in-nodes/SamplerDPMPP_3M_SDE.mdx b/ko/built-in-nodes/SamplerDPMPP_3M_SDE.mdx new file mode 100644 index 000000000..f4a5ef956 --- /dev/null +++ b/ko/built-in-nodes/SamplerDPMPP_3M_SDE.mdx @@ -0,0 +1,27 @@ +--- +title: "SamplerDPMPP_3M_SDE - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDPMPP_3M_SDE node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerDPMPP_3M_SDE" +icon: "circle" +mode: wide +--- +SamplerDPMPP_3M_SDE 노드는 샘플링 과정에서 사용할 DPM++ 3M SDE 샘플러를 생성합니다. 이 샘플러는 구성 가능한 노이즈 매개변수를 사용하는 3차 다단계 확률적 미분 방정식 방법을 활용합니다. 노드를 통해 노이즈 계산을 GPU 또는 CPU에서 수행할지 선택할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `eta` | 샘플링 과정의 확률성을 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 - 100.0 | +| `s_noise` | 샘플링 중 추가되는 노이즈 양을 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 - 100.0 | +| `노이즈 생성 장치` | 노이즈 계산에 사용할 장치를 GPU 또는 CPU 중에서 선택합니다 (기본값: "gpu") | COMBO | 예 | "gpu"
"cpu" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 샘플링 워크플로우에서 사용할 구성된 샘플러 객체를 반환합니다 | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_3M_SDE/ko.md) + +--- +**Source fingerprint (SHA-256):** `817ce8c12245063e5f2f3421f57dd55801aae96dfd8fe1bf3f88f814799b830a` diff --git a/ko/built-in-nodes/SamplerDPMPP_SDE.mdx b/ko/built-in-nodes/SamplerDPMPP_SDE.mdx new file mode 100644 index 000000000..a99689c27 --- /dev/null +++ b/ko/built-in-nodes/SamplerDPMPP_SDE.mdx @@ -0,0 +1,28 @@ +--- +title: "SamplerDPMPP_SDE - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDPMPP_SDE node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerDPMPP_SDE" +icon: "circle" +mode: wide +--- +`SamplerDPMPP_SDE` 노드는 샘플링 과정에서 사용할 DPM++ SDE(확률적 미분 방정식) 샘플러를 생성합니다. 이 샘플러는 구성 가능한 노이즈 매개변수와 장치 선택 기능을 갖춘 확률적 샘플링 방법을 제공합니다. 샘플링 파이프라인에서 사용할 수 있는 샘플러 객체를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `eta` | 샘플링 과정의 확률성을 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 - 100.0 | +| `s_noise` | 샘플링 중 추가되는 노이즈의 양을 제어합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 - 100.0 | +| `r` | 샘플링 동작에 영향을 미치는 매개변수입니다 (기본값: 0.5) | FLOAT | 예 | 0.0 - 100.0 | +| `노이즈 생성 장치` | 노이즈 계산이 수행되는 장치를 선택합니다 (기본값: "gpu") | COMBO | 예 | "gpu"
"cpu" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 샘플링 파이프라인에서 사용할 수 있도록 구성된 DPM++ SDE 샘플러 객체를 반환합니다 | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_SDE/ko.md) + +--- +**Source fingerprint (SHA-256):** `43b3b3c4b2756a6e7979c12418de1dba79e3e0c0fde2a06505cf0a6825e6ebbf` diff --git a/ko/built-in-nodes/SamplerDpmpp2mSde.mdx b/ko/built-in-nodes/SamplerDpmpp2mSde.mdx new file mode 100644 index 000000000..b271385b0 --- /dev/null +++ b/ko/built-in-nodes/SamplerDpmpp2mSde.mdx @@ -0,0 +1,25 @@ +--- +title: "SamplerDpmpp2mSde - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDpmpp2mSde node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerDpmpp2mSde" +icon: "circle" +mode: wide +--- +이 노드는 DPMPP_2M_SDE 모델용 샘플러를 생성하도록 설계되어, 지정된 솔버 유형, 노이즈 수준 및 연산 장치 선호도에 따라 샘플을 생성할 수 있습니다. 샘플러 구성의 복잡성을 추상화하여 맞춤 설정으로 샘플을 생성할 수 있는 간소화된 인터페이스를 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `solver_type` | 샘플링 과정에 사용할 솔버 유형을 지정하며, 'midpoint'와 'heun' 중에서 선택할 수 있습니다. 이 선택은 샘플링 중 적용되는 수치 적분 방법에 영향을 줍니다. | COMBO[STRING] | +| `eta` | 수치 적분의 단계 크기를 결정하여 샘플링 과정의 세분화 정도에 영향을 줍니다. 값이 높을수록 더 큰 단계 크기를 나타냅니다. | `FLOAT` | +| `s_noise` | 샘플링 과정 중 도입되는 노이즈 수준을 제어하여, 생성된 샘플의 변동성에 영향을 줍니다. | `FLOAT` | +| `noise_device` | 노이즈 생성 과정이 실행되는 연산 장치('gpu' 또는 'cpu')를 나타내며, 성능과 효율성에 영향을 줍니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `sampler` | 지정된 매개변수에 따라 구성된 샘플러를 출력하며, 샘플 생성에 즉시 사용할 수 있습니다. | `SAMPLER` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDpmpp2mSde/ko.md) diff --git a/ko/built-in-nodes/SamplerDpmppSde.mdx b/ko/built-in-nodes/SamplerDpmppSde.mdx new file mode 100644 index 000000000..e7421d778 --- /dev/null +++ b/ko/built-in-nodes/SamplerDpmppSde.mdx @@ -0,0 +1,25 @@ +--- +title: "SamplerDpmppSde - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDpmppSde node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerDpmppSde" +icon: "circle" +mode: wide +--- +이 노드는 DPM++ SDE(확률적 미분 방정식) 모델용 샘플러를 생성하도록 설계되었습니다. CPU 및 GPU 실행 환경 모두에 적응하며, 사용 가능한 하드웨어에 따라 샘플러 구현을 최적화합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `eta` | SDE 솔버의 단계 크기를 지정하여 샘플링 과정의 세분성에 영향을 줍니다. | FLOAT | +| `s_noise` | 샘플링 과정 중 적용될 노이즈 수준을 결정하며, 생성된 샘플의 다양성에 영향을 줍니다. | FLOAT | +| `r` | 샘플링 과정에서 노이즈 감소 비율을 제어하며, 생성된 샘플의 선명도와 품질에 영향을 줍니다. | FLOAT | +| `noise_device` | 샘플러의 실행 환경(CPU 또는 GPU)을 선택하여 사용 가능한 하드웨어에 따라 성능을 최적화합니다. | COMBO[STRING] | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `sampler` | 지정된 매개변수로 구성된 생성된 샘플러로, 샘플링 작업에 사용할 준비가 되었습니다. | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDpmppSde/ko.md) diff --git a/ko/built-in-nodes/SamplerER_SDE.mdx b/ko/built-in-nodes/SamplerER_SDE.mdx new file mode 100644 index 000000000..867c6e363 --- /dev/null +++ b/ko/built-in-nodes/SamplerER_SDE.mdx @@ -0,0 +1,35 @@ +--- +title: "SamplerER_SDE - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerER_SDE node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerER_SDE" +icon: "circle" +mode: wide +--- +# SamplerER_SDE 노드 + +SamplerER_SDE 노드는 확산 모델을 위한 특화된 샘플링 방법을 제공하며, ER-SDE, 역시간 SDE 및 ODE 접근 방식을 포함한 다양한 솔버 유형을 지원합니다. 이 노드는 샘플링 과정의 확률적 동작과 계산 단계를 제어할 수 있게 해줍니다. 선택된 솔버 유형에 따라 매개변수를 자동으로 조정하여 적절한 기능이 작동하도록 보장합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `solver_type` | 샘플링에 사용할 솔버 유형입니다. 확산 과정의 수학적 접근 방식을 결정합니다. | COMBO | 예 | "ER-SDE"
"역시간 SDE"
"ODE" | +| `최대 단계` | 샘플링 과정의 최대 단계 수입니다(기본값: 3). 계산 복잡성과 품질을 제어합니다. | INT | 아니요 | 1-3 | +| `ETA` | 역시간 SDE의 확률적 강도입니다(기본값: 1.0). eta=0일 경우 결정론적 ODE로 축소됩니다. 이 설정은 ER-SDE 솔버 유형에는 적용되지 않습니다. | FLOAT | 아니요 | 0.0-100.0 | +| `S 노이즈` | 샘플링 과정의 노이즈 스케일링 계수입니다(기본값: 1.0). 샘플링 중 적용되는 노이즈 양을 제어합니다. | FLOAT | 아니요 | 0.0-100.0 | + +**매개변수 제약 조건:** + +- `solver_type`이 "ODE"로 설정되거나 `eta`=0인 "역시간 SDE"를 사용하는 경우, 사용자 입력 값과 관계없이 `eta`와 `s_noise`가 모두 자동으로 0으로 설정됩니다. +- `eta` 매개변수는 "역시간 SDE" 솔버 유형에만 영향을 미치며 "ER-SDE" 솔버 유형에는 영향을 주지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 지정된 솔버 설정으로 샘플링 파이프라인에서 사용할 수 있는 구성된 샘플러 객체입니다. | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerER_SDE/ko.md) + +--- +**Source fingerprint (SHA-256):** `bc24ec3c5dc645aebf55ef3392c5f4a40dcf0461b4b77731e8fe7ff397dcfadf` diff --git a/ko/built-in-nodes/SamplerEulerAncestral.mdx b/ko/built-in-nodes/SamplerEulerAncestral.mdx new file mode 100644 index 000000000..10f4a4cfc --- /dev/null +++ b/ko/built-in-nodes/SamplerEulerAncestral.mdx @@ -0,0 +1,26 @@ +--- +title: "SamplerEulerAncestral - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerEulerAncestral node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerEulerAncestral" +icon: "circle" +mode: wide +--- +SamplerEulerAncestral 노드는 이미지 생성을 위한 오일러 조상 샘플러를 생성합니다. 이 샘플러는 오일러 적분과 조상 샘플링 기법을 결합한 특정 수학적 접근 방식을 사용하여 이미지 변형을 생성합니다. 이 노드는 생성 과정 중 무작위성과 단계 크기를 제어하는 매개변수를 조정하여 샘플링 동작을 구성할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `eta` | 샘플링 과정의 단계 크기와 확률적 특성을 제어합니다(기본값: 1.0). 이는 고급 매개변수입니다. | FLOAT | 아니요 | 0.0 - 100.0 | +| `s_noise` | 샘플링 중 추가되는 노이즈의 양을 제어합니다(기본값: 1.0). 이는 고급 매개변수입니다. | FLOAT | 아니요 | 0.0 - 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 샘플링 파이프라인에서 사용할 수 있는 구성된 오일러 조상 샘플러를 반환합니다. | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestral/ko.md) + +--- +**Source fingerprint (SHA-256):** `4d167de55f003383ccbb4a53daa14496bd931589781d56b62bf282a811669670` diff --git a/ko/built-in-nodes/SamplerEulerAncestralCFGPP.mdx b/ko/built-in-nodes/SamplerEulerAncestralCFGPP.mdx new file mode 100644 index 000000000..dcc10b0c3 --- /dev/null +++ b/ko/built-in-nodes/SamplerEulerAncestralCFGPP.mdx @@ -0,0 +1,26 @@ +--- +title: "SamplerEulerAncestralCFGPP - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerEulerAncestralCFGPP node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerEulerAncestralCFGPP" +icon: "circle" +mode: wide +--- +SamplerEulerAncestralCFGPP 노드는 이미지 생성을 위해 분류기 자유도 안내(CFG++)와 함께 오일러 조상(Euler Ancestral) 방법을 사용하는 샘플러를 생성합니다. 이 샘플러는 조상 샘플링 기법과 안내 조건화를 결합하여 다양성을 유지하면서도 일관성 있는 이미지 변형을 생성하며, 노이즈와 스텝 크기 조정을 제어하는 매개변수를 통해 세부 조정이 가능합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `eta` | 샘플링 중 스텝 크기를 제어하며, 값이 높을수록 더 공격적인 업데이트가 이루어집니다 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | +| `s_noise` | 샘플링 과정에서 추가되는 노이즈 양을 조정합니다 (기본값: 1.0) | FLOAT | 예 | 0.0 - 10.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 이미지 생성 파이프라인에서 사용할 수 있는 구성된 샘플러 객체를 반환합니다 | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/ko.md) + +--- +**Source fingerprint (SHA-256):** `7eceec539a6a045db4d9953214add17011ef9d17e663dbbbbbb2bae0cbe40aa2` diff --git a/ko/built-in-nodes/SamplerEulerCFGpp.mdx b/ko/built-in-nodes/SamplerEulerCFGpp.mdx new file mode 100644 index 000000000..e84d86f10 --- /dev/null +++ b/ko/built-in-nodes/SamplerEulerCFGpp.mdx @@ -0,0 +1,27 @@ +--- +title: "SamplerEulerCFGpp - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerEulerCFGpp node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerEulerCFGpp" +icon: "circle" +mode: wide +--- +# SamplerEulerCFGpp 노드 + +SamplerEulerCFGpp 노드는 출력을 생성하기 위한 Euler CFG++ 샘플링 방법을 제공합니다. 이 노드는 사용자 선호도에 따라 선택할 수 있는 두 가지 서로 다른 구현 버전의 Euler CFG++ 샘플러를 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `버전` | 사용할 Euler CFG++ 샘플러의 구현 버전입니다 (기본값: "regular") | STRING | 예 | `"regular"`
`"alternative"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 구성된 Euler CFG++ 샘플러 인스턴스를 반환합니다 | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerCFGpp/ko.md) + +--- +**Source fingerprint (SHA-256):** `f01732fc39a76fca697aaddefc8cec58d54ba9761eb8d93da806ddd162d42513` diff --git a/ko/built-in-nodes/SamplerLCM.mdx b/ko/built-in-nodes/SamplerLCM.mdx new file mode 100644 index 000000000..f67d298d1 --- /dev/null +++ b/ko/built-in-nodes/SamplerLCM.mdx @@ -0,0 +1,27 @@ +--- +title: "SamplerLCM - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerLCM node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerLCM" +icon: "circle" +mode: wide +--- +SamplerLCM 노드는 단계별 노이즈 매개변수를 조정할 수 있는 LCM(잠재 일관성 모델) 샘플러를 제공합니다. 각 샘플링 단계에서 적용되는 노이즈를 제어하여 샘플링 과정을 세밀하게 조정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `s_noise` | 첫 번째 단계의 단계별 노이즈 승수입니다. 값이 1.0이면 모델의 훈련 노이즈 스케일과 일치합니다. (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 64.0 (단위: 0.01) | +| `s_noise_end` | 마지막 단계의 단계별 노이즈 승수입니다. 일정한 노이즈 일정을 위해 `s_noise`와 동일한 값으로 설정하십시오. (기본값: 1.0) | FLOAT | 예 | 0.0 ~ 64.0 (단위: 0.01) | +| `noise_clip_std` | 단계별 노이즈를 +/- N 표준편차 범위 내로 제한합니다. 값이 0이면 제한이 비활성화됩니다. (기본값: 0.0) | FLOAT | 예 | 0.0 ~ 10.0 (단위: 0.01) | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `SAMPLER` | 구성된 LCM 샘플러 객체로, 샘플링 워크플로우에서 사용할 준비가 되었습니다. | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/ko.md) + +--- +**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98` diff --git a/ko/built-in-nodes/SamplerLCMUpscale.mdx b/ko/built-in-nodes/SamplerLCMUpscale.mdx new file mode 100644 index 000000000..0cac37bcf --- /dev/null +++ b/ko/built-in-nodes/SamplerLCMUpscale.mdx @@ -0,0 +1,29 @@ +--- +title: "SamplerLCMUpscale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerLCMUpscale node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerLCMUpscale" +icon: "circle" +mode: wide +--- +# SamplerLCMUpscale + +SamplerLCMUpscale 노드는 잠재 일관성 모델(LCM) 샘플링과 이미지 업스케일링 기능을 결합한 특수 샘플링 방법을 제공합니다. 다양한 보간 방법을 사용하여 샘플링 과정 중에 이미지를 업스케일링할 수 있으므로, 이미지 품질을 유지하면서 더 높은 해상도의 출력물을 생성하는 데 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `확대율` | 업스케일링 중 적용할 배율입니다 (기본값: 1.0) | FLOAT | 아니요 | 0.1 - 20.0 | +| `확대 스텝 수` | 업스케일링 과정에 사용할 단계 수입니다. 자동 계산을 위해 -1을 사용합니다 (기본값: -1) | INT | 아니요 | -1 - 1000 | +| `업스케일 방법` | 이미지 업스케일링에 사용되는 보간 방법입니다 | COMBO | 예 | "bislerp"
"nearest-exact"
"bilinear"
"area"
"bicubic" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 샘플링 파이프라인에서 사용할 수 있는 구성된 샘플러 객체를 반환합니다 | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCMUpscale/ko.md) + +--- +**Source fingerprint (SHA-256):** `fe0d4c8676454a9e8ecf4bb4e149c9b5e22083322447749116d624984d75e73c` diff --git a/ko/built-in-nodes/SamplerLMS.mdx b/ko/built-in-nodes/SamplerLMS.mdx new file mode 100644 index 000000000..201e4b764 --- /dev/null +++ b/ko/built-in-nodes/SamplerLMS.mdx @@ -0,0 +1,25 @@ +--- +title: "SamplerLMS - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerLMS node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerLMS" +icon: "circle" +mode: wide +--- +SamplerLMS 노드는 확산 모델에서 사용하기 위한 최소 평균 제곱(LMS) 샘플러를 생성합니다. 샘플링 과정에서 사용할 수 있는 샘플러 객체를 생성하며, 수치적 안정성과 정확성을 위해 LMS 알고리즘의 차수를 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `순서` | LMS 샘플러 알고리즘의 차수 매개변수로, 수치적 방법의 정확성과 안정성을 제어합니다(기본값: 4) | INT | 예 | 1~100 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 샘플링 파이프라인에서 사용할 수 있는 구성된 LMS 샘플러 객체입니다 | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLMS/ko.md) + +--- +**Source fingerprint (SHA-256):** `0c045ef15890fe611dc0b9d455bafa313d28373a29c881a0c8bf5d80e69bc114` diff --git a/ko/built-in-nodes/SamplerSASolver.mdx b/ko/built-in-nodes/SamplerSASolver.mdx new file mode 100644 index 000000000..0830c8722 --- /dev/null +++ b/ko/built-in-nodes/SamplerSASolver.mdx @@ -0,0 +1,35 @@ +--- +title: "SamplerSASolver - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerSASolver node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerSASolver" +icon: "circle" +mode: wide +--- +# SamplerSASolver 노드 + +SamplerSASolver 노드는 확산 모델을 위한 사용자 정의 샘플링 알고리즘을 구현합니다. 이 노드는 예측-보정 접근 방식을 사용하며, 설정 가능한 차수 설정과 확률적 미분 방정식(SDE) 매개변수를 통해 입력 모델로부터 샘플을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 샘플링에 사용할 확산 모델 | MODEL | 예 | - | +| `ETA` | 단계 크기 조정 계수를 제어합니다 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | +| `SDE 시작 백분율` | SDE 샘플링 시작 비율입니다 (기본값: 0.2) | FLOAT | 아니요 | 0.0 - 1.0 | +| `SDE 종료 백분율` | SDE 샘플링 종료 비율입니다 (기본값: 0.8) | FLOAT | 아니요 | 0.0 - 1.0 | +| `S 노이즈` | 샘플링 중 추가되는 노이즈 양을 제어합니다 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 100.0 | +| `예측기 차수` | 솔버에서 예측기 구성 요소의 차수입니다 (기본값: 3) | INT | 아니요 | 1 - 6 | +| `수정기 차수` | 솔버에서 보정기 구성 요소의 차수입니다 (기본값: 4) | INT | 아니요 | 0 - 6 | +| `PECE 사용` | PECE(예측-평가-보정-평가) 방법을 활성화 또는 비활성화합니다 | BOOLEAN | 아니요 | - | +| `단순 2차` | 단순화된 2차 계산을 활성화 또는 비활성화합니다 | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 확산 모델과 함께 사용할 수 있는 설정된 샘플러 객체 | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSASolver/ko.md) + +--- +**Source fingerprint (SHA-256):** `3de8834281c09d0bd1435e29f0c9ae540a2ea42db142277d07cb655ccf814873` diff --git a/ko/built-in-nodes/SamplerSEEDS2.mdx b/ko/built-in-nodes/SamplerSEEDS2.mdx new file mode 100644 index 000000000..4e4b2657f --- /dev/null +++ b/ko/built-in-nodes/SamplerSEEDS2.mdx @@ -0,0 +1,30 @@ +--- +title: "SamplerSEEDS2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerSEEDS2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerSEEDS2" +icon: "circle" +mode: wide +--- +이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSEEDS2/en.md) + +이 노드는 이미지 생성을 위한 구성 가능한 샘플러를 제공합니다. 확률적 미분 방정식(SDE) 해석기인 SEEDS-2 알고리즘을 구현합니다. 매개변수를 조정하여 `seeds_2`, `exp_heun_2_x0`, `exp_heun_2_x0_sde`를 포함한 여러 특정 샘플러처럼 동작하도록 구성할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `solver_type` | 샘플러의 기본 해석기 알고리즘을 선택합니다. | COMBO | 예 | `"phi_1"`
`"phi_2"` | +| `eta` | 확률적 강도(기본값: 1.0)입니다. | FLOAT | 아니요 | 0.0 - 100.0 | +| `s_noise` | SDE 노이즈 승수(기본값: 1.0)입니다. | FLOAT | 아니요 | 0.0 - 100.0 | +| `r` | 중간 단계(c2 노드)의 상대적 단계 크기(기본값: 0.5)입니다. | FLOAT | 아니요 | 0.01 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sampler` | 다른 샘플링 노드에 전달할 수 있는 구성된 샘플러 객체입니다. | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSEEDS2/ko.md) + +--- +**Source fingerprint (SHA-256):** `13cfc064dab8b77dbdfdc27238130bdf3dc6c1eca47110f4a7f7d6b8c2866b90` diff --git a/ko/built-in-nodes/SamplingPercentToSigma.mdx b/ko/built-in-nodes/SamplingPercentToSigma.mdx new file mode 100644 index 000000000..a39326523 --- /dev/null +++ b/ko/built-in-nodes/SamplingPercentToSigma.mdx @@ -0,0 +1,29 @@ +--- +title: "SamplingPercentToSigma - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplingPercentToSigma node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplingPercentToSigma" +icon: "circle" +mode: wide +--- +# SamplingPercentToSigma (샘플링 백분율-시그마 변환) + +SamplingPercentToSigma 노드는 샘플링 백분율 값을 모델의 샘플링 매개변수를 사용하여 해당 시그마 값으로 변환합니다. 0.0에서 1.0 사이의 백분율 값을 입력받아 모델의 노이즈 스케줄에서 적절한 시그마 값으로 매핑하며, 경계값에서 계산된 시그마 또는 실제 최대/최소 시그마 값을 반환하는 옵션을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 변환에 사용되는 샘플링 매개변수를 포함한 모델 | MODEL | 예 | - | +| `샘플링 백분율` | 시그마로 변환할 샘플링 백분율 (기본값: 0.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `실제 시그마 값 반환` | 구간 확인에 사용되는 값 대신 실제 시그마 값을 반환합니다. 이는 0.0 및 1.0에서의 결과에만 영향을 미칩니다. (기본값: False) | BOOLEAN | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `sigma_value` | 입력 샘플링 백분율에 해당하는 변환된 시그마 값 | FLOAT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplingPercentToSigma/ko.md) + +--- +**Source fingerprint (SHA-256):** `88ecea0528dfeff75248a8dfee8381e1f73d1a2d9ee3e7f8e37fef0f2b2499ec` diff --git a/ko/built-in-nodes/SaveAnimatedPNG.mdx b/ko/built-in-nodes/SaveAnimatedPNG.mdx new file mode 100644 index 000000000..4dbe6f72a --- /dev/null +++ b/ko/built-in-nodes/SaveAnimatedPNG.mdx @@ -0,0 +1,25 @@ +--- +title: "SaveAnimatedPNG - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveAnimatedPNG node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveAnimatedPNG" +icon: "circle" +mode: wide +--- +SaveAnimatedPNG 노드는 프레임 시퀀스로부터 애니메이션 PNG 이미지를 생성하고 저장하도록 설계되었습니다. 개별 이미지 프레임을 하나의 애니메이션으로 조합하여 프레임 지속 시간, 반복 재생 및 메타데이터 포함을 사용자 지정할 수 있습니다. + +## 입력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지` | 애니메이션 PNG로 처리 및 저장될 이미지 목록입니다. 목록의 각 이미지는 애니메이션의 한 프레임을 나타냅니다. | `IMAGE` | +| `파일명 접두사` | 출력 파일의 기본 이름을 지정하며, 생성된 애니메이션 PNG 파일의 접두사로 사용됩니다. | `STRING` | +| `fps` | 애니메이션의 초당 프레임 수로, 프레임이 표시되는 속도를 제어합니다. | `FLOAT` | +| `압축 레벨` | 애니메이션 PNG 파일에 적용되는 압축 수준으로, 파일 크기와 이미지 선명도에 영향을 줍니다. | `INT` | + +## 출력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `ui` | 생성된 애니메이션 PNG 이미지를 표시하고, 애니메이션이 단일 프레임인지 다중 프레임인지 나타내는 UI 구성 요소를 제공합니다. | 해당 없음 | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAnimatedPNG/ko.md) diff --git a/ko/built-in-nodes/SaveAnimatedWEBP.mdx b/ko/built-in-nodes/SaveAnimatedWEBP.mdx new file mode 100644 index 000000000..1446a91fd --- /dev/null +++ b/ko/built-in-nodes/SaveAnimatedWEBP.mdx @@ -0,0 +1,27 @@ +--- +title: "SaveAnimatedWEBP - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveAnimatedWEBP node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveAnimatedWEBP" +icon: "circle" +mode: wide +--- +이 노드는 일련의 이미지들을 애니메이션 WEBP 파일로 저장하기 위해 설계되었습니다. 개별 프레임을 하나의 애니메이션으로 집계하고, 지정된 메타데이터를 적용하며, 품질 및 압축 설정에 따라 출력물을 최적화하는 기능을 처리합니다. + +## 입력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `이미지` | 애니메이션 WEBP의 프레임으로 저장할 이미지 목록입니다. 이 매개변수는 애니메이션의 시각적 콘텐츠를 정의하는 데 필수적입니다. | `IMAGE` | +| `파일명 접두사` | 출력 파일의 기본 이름을 지정하며, 여기에 카운터와 '.webp' 확장자가 추가됩니다. 이 매개변수는 저장된 파일을 식별하고 구성하는 데 중요합니다. | `STRING` | +| `fps` | 애니메이션의 초당 프레임 수로, 재생 속도에 영향을 미칩니다. | `FLOAT` | +| `무손실` | 무손실 압축 사용 여부를 나타내는 부울 값으로, 애니메이션의 파일 크기와 품질에 영향을 미칩니다. | `BOOLEAN` | +| `품질` | 0에서 100 사이의 값으로 압축 품질 수준을 설정하며, 값이 높을수록 이미지 품질은 좋아지지만 파일 크기는 커집니다. | `INT` | +| `방법` | 사용할 압축 방법을 지정하며, 인코딩 속도와 파일 크기에 영향을 줄 수 있습니다. | COMBO[STRING] | + +## 출력 + +| 필드 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `ui` | 저장된 애니메이션 WEBP 이미지와 해당 메타데이터를 표시하고, 애니메이션 활성화 여부를 나타내는 UI 구성 요소를 제공합니다. | 해당 없음 | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAnimatedWEBP/ko.md) diff --git a/ko/built-in-nodes/SaveAudio.mdx b/ko/built-in-nodes/SaveAudio.mdx new file mode 100644 index 000000000..37009b1a3 --- /dev/null +++ b/ko/built-in-nodes/SaveAudio.mdx @@ -0,0 +1,30 @@ +--- +title: "SaveAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveAudio" +icon: "circle" +mode: wide +--- +# SaveAudio 노드 + +SaveAudio 노드는 오디오 데이터를 FLAC 형식의 파일로 저장합니다. 오디오 입력을 받아 지정된 출력 디렉토리에 주어진 파일명 접두사로 저장합니다. 이 노드는 자동으로 파일 이름을 처리하고 오디오가 추후 사용을 위해 적절히 저장되도록 보장합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `오디오` | 저장할 오디오 데이터 | AUDIO | 예 | - | +| `파일명 접두사` | 출력 파일명의 접두사 (기본값: "audio/ComfyUI") | STRING | 아니요 | - | + +*참고: `prompt` 및 `extra_pnginfo` 매개변수는 숨겨져 있으며 시스템에서 자동으로 처리됩니다.* + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| *없음* | 이 노드는 출력 데이터를 반환하지 않지만 오디오 파일을 출력 디렉토리에 저장합니다 | - | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `16242dfc45d0f2808a5615e9c1bfe4de4d19e2f5f6b28370f631439021dc72e5` diff --git a/ko/built-in-nodes/SaveAudioAdvanced.mdx b/ko/built-in-nodes/SaveAudioAdvanced.mdx new file mode 100644 index 000000000..aea5c5b6f --- /dev/null +++ b/ko/built-in-nodes/SaveAudioAdvanced.mdx @@ -0,0 +1,33 @@ +--- +title: "SaveAudioAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveAudioAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveAudioAdvanced" +icon: "circle" +mode: wide +--- +# 오디오 저장 (고급) + +입력된 오디오를 ComfyUI 출력 디렉토리에 저장합니다. 이 노드는 FLAC, MP3, Opus 등 다양한 형식으로 오디오를 내보낼 수 있으며, 품질 설정을 구성할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|---------|------|------------|------|------| +| `audio` | 저장할 오디오입니다. | AUDIO | 예 | - | +| `filename_prefix` | 저장할 파일의 접두사입니다. %date:yyyy-MM-dd%와 같은 형식 토큰을 포함할 수 있습니다. (기본값: "audio/ComfyUI") | STRING | 예 | - | +| `format` | 오디오를 저장할 파일 형식입니다. | COMBO | 예 | "flac"
"mp3"
"opus" | + +형식으로 "mp3"를 선택하면 `quality` 하위 매개변수를 사용할 수 있으며, 다음 옵션이 제공됩니다: "V0", "128k", "320k" (기본값: "V0"). + +형식으로 "opus"를 선택하면 `quality` 하위 매개변수를 사용할 수 있으며, 다음 옵션이 제공됩니다: "64k", "96k", "128k", "192k", "320k" (기본값: "128k"). + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-----------|------|------------| +| `ui` | 저장된 오디오 파일 정보를 포함하는 UI 출력입니다. | UI | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioAdvanced/ko.md) + +--- +**Source fingerprint (SHA-256):** `98314263dd84c562e7c02ba89f3d10551fcb898ac784af2aa397ca8357e4aae8` diff --git a/ko/built-in-nodes/SaveAudioMP3.mdx b/ko/built-in-nodes/SaveAudioMP3.mdx new file mode 100644 index 000000000..cfcf0bc19 --- /dev/null +++ b/ko/built-in-nodes/SaveAudioMP3.mdx @@ -0,0 +1,29 @@ +--- +title: "SaveAudioMP3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveAudioMP3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveAudioMP3" +icon: "circle" +mode: wide +--- +SaveAudioMP3 노드는 오디오 데이터를 MP3 파일로 저장합니다. 오디오 입력을 받아 사용자 지정 파일 이름과 품질 설정으로 지정된 출력 디렉터리에 내보냅니다. 이 노드는 재생 가능한 MP3 파일을 생성하기 위해 파일 이름 지정과 형식 변환을 자동으로 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `오디오` | MP3 파일로 저장할 오디오 데이터 | AUDIO | 예 | - | +| `파일명 접두사` | 출력 파일 이름의 접두사 (기본값: "audio/ComfyUI") | STRING | 아니요 | - | +| `품질` | MP3 파일의 오디오 품질 설정 (기본값: "V0") | STRING | 아니요 | "V0"
"128k"
"320k" | +| `prompt` | 내부 프롬프트 데이터 (시스템에서 자동 제공) | PROMPT | 아니요 | - | +| `extra_pnginfo` | 추가 PNG 정보 (시스템에서 자동 제공) | EXTRA_PNGINFO | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| *없음* | 이 노드는 출력 데이터를 반환하지 않지만, 오디오 파일을 출력 디렉터리에 저장합니다 | - | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioMP3/ko.md) + +--- +**Source fingerprint (SHA-256):** `70b960cc9c86ad9a4c98e643f40e6caaafdeb9840ac72a5f8e59533fd6120e3e` diff --git a/ko/built-in-nodes/SaveAudioOpus.mdx b/ko/built-in-nodes/SaveAudioOpus.mdx new file mode 100644 index 000000000..e3d10ba3d --- /dev/null +++ b/ko/built-in-nodes/SaveAudioOpus.mdx @@ -0,0 +1,27 @@ +--- +title: "SaveAudioOpus - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveAudioOpus node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveAudioOpus" +icon: "circle" +mode: wide +--- +SaveAudioOpus 노드는 오디오 데이터를 Opus 형식 파일로 저장합니다. 오디오 입력을 받아 압축된 Opus 파일로 내보내며, 품질 설정을 구성할 수 있습니다. 이 노드는 자동으로 파일 이름을 처리하고 출력을 지정된 출력 디렉터리에 저장합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `오디오` | Opus 파일로 저장할 오디오 데이터 | AUDIO | 예 | - | +| `파일명 접두사` | 출력 파일 이름의 접두사 (기본값: "audio/ComfyUI") | STRING | 아니요 | - | +| `품질` | Opus 파일의 오디오 품질 설정 (기본값: "128k") | COMBO | 아니요 | "64k"
"96k"
"128k"
"192k"
"320k" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| - | 이 노드는 출력 값을 반환하지 않습니다. 주요 기능으로 오디오 파일을 디스크에 저장합니다. | - | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioOpus/ko.md) + +--- +**Source fingerprint (SHA-256):** `87c3b1b85ca51b79d43c8486eeb2de7b074faa11c4da2bff7b8931a3049560e2` diff --git a/ko/built-in-nodes/SaveGLB.mdx b/ko/built-in-nodes/SaveGLB.mdx new file mode 100644 index 000000000..3203d8f77 --- /dev/null +++ b/ko/built-in-nodes/SaveGLB.mdx @@ -0,0 +1,26 @@ +--- +title: "SaveGLB - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveGLB node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveGLB" +icon: "circle" +mode: wide +--- +SaveGLB 노드는 3D 메시 데이터 또는 3D 파일을 출력 디렉토리에 저장합니다. 메시 데이터 또는 다양한 3D 파일 형식(GLB, GLTF, OBJ, FBX, STL, USDZ)을 입력받아 지정된 파일 이름 접두사로 내보냅니다. 메시 데이터를 저장할 때는 여러 메시를 처리할 수 있으며, 메타데이터가 활성화된 경우 파일에 워크플로우 메타데이터가 자동으로 추가됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `메시` | 저장할 메시 또는 3D 파일입니다. 메시 데이터 또는 GLB, GLTF, OBJ, FBX, STL, USDZ를 포함한 3D 파일 형식을 허용합니다 | MESH 또는 FILE3D | 예 | - | +| `파일명 접두사` | 출력 파일 이름의 접두사입니다 (기본값: "3d/ComfyUI") | STRING | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `ui` | 파일 이름, 하위 폴더 및 유형 정보와 함께 저장된 3D 파일을 사용자 인터페이스에 표시합니다 | UI | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveGLB/ko.md) + +--- +**Source fingerprint (SHA-256):** `bd36600185aeb793cd4e9f37f3b4464267cb36f451fdcf71aff83077bb8c3f53` diff --git a/ko/built-in-nodes/SaveImage.mdx b/ko/built-in-nodes/SaveImage.mdx new file mode 100644 index 000000000..43bcc1d2a --- /dev/null +++ b/ko/built-in-nodes/SaveImage.mdx @@ -0,0 +1,26 @@ +--- +title: "SaveImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveImage" +icon: "circle" +mode: wide +--- +SaveImage 노드는 수신한 이미지를 `ComfyUI/output` 디렉토리에 저장합니다. 각 이미지를 PNG 파일로 저장하며, 향후 참조를 위해 프롬프트와 같은 워크플로우 메타데이터를 저장된 파일에 포함시킬 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 저장할 이미지입니다. | IMAGE | 예 | - | +| `파일명 접두사` | 저장할 파일의 접두사입니다. `%date:yyyy-MM-dd%` 또는 `%Empty Latent Image.width%`와 같은 형식 정보를 포함하여 노드의 값을 포함시킬 수 있습니다 (기본값: "ComfyUI"). | STRING | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `ui` | 이 노드는 저장된 이미지의 파일 이름과 하위 폴더 목록을 포함하는 UI 결과를 출력합니다. 다른 노드에 연결하기 위한 데이터는 출력하지 않습니다. | UI_RESULT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImage/ko.md) + +--- +**Source fingerprint (SHA-256):** `fa88c26e5e03f788dcc545434a54124c5e9d03b559da67f0857b52faec0e97e7` diff --git a/ko/built-in-nodes/SaveImageAdvanced.mdx b/ko/built-in-nodes/SaveImageAdvanced.mdx new file mode 100644 index 000000000..83aba92a4 --- /dev/null +++ b/ko/built-in-nodes/SaveImageAdvanced.mdx @@ -0,0 +1,40 @@ +--- +title: "SaveImageAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveImageAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveImageAdvanced" +icon: "circle" +mode: wide +--- +# SaveImageAdvanced + +**SaveImageAdvanced** 노드는 파일 형식, 비트 심도 및 색상 공간에 대한 고급 제어 기능을 제공하며 이미지를 ComfyUI 출력 디렉토리에 저장합니다. PNG 또는 EXR 파일로 저장하는 것을 지원하며, 저장된 파일에 워크플로우 메타데이터를 포함할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `images` | 저장할 이미지입니다. | IMAGE | 예 | - | +| `filename_prefix` | 저장할 파일의 접두사입니다. `%date:yyyy-MM-dd%` 또는 `%Empty Latent Image.width%`와 같은 형식 토큰을 포함할 수 있습니다. (기본값: "ComfyUI") | STRING | 예 | - | +| `format` | 이미지를 저장할 파일 형식입니다. 형식을 선택하면 해당 형식에 대한 추가 옵션이 표시됩니다. | COMBO | 예 | `"png"`
`"exr"` | +| `bit_depth` | 선택한 형식의 비트 심도입니다. 이 매개변수는 형식이 선택되면 나타납니다. (기본값: PNG는 "8-bit", EXR은 "32-bit float") | COMBO | 예 (조건부) | PNG: `"8-bit"`
`"16-bit"`
EXR: `"32-bit float"` | +| `input_color_space` | 입력 텐서의 색상 공간입니다. PNG의 경우 sRGB만 사용 가능합니다. EXR의 경우 이미지는 항상 일치하는 색역의 장면-선형(scene-linear)으로 기록됩니다. (기본값: "sRGB") | COMBO | 예 (조건부) | PNG: `"sRGB"`
EXR: `"sRGB"`
`"HDR"`
`"linear"` | + +**매개변수 종속성 참고 사항:** +- `bit_depth` 및 `input_color_space` 매개변수는 특정 `format`이 선택된 경우에만 사용할 수 있습니다. +- PNG 형식의 경우 "8-bit" 및 "16-bit" 비트 심도만 사용 가능하며, "sRGB" 색상 공간만 사용할 수 있습니다. +- EXR 형식의 경우 "32-bit float" 비트 심도만 사용 가능하며, "sRGB", "HDR" 또는 "linear" 색상 공간을 사용할 수 있습니다. +- EXR의 `input_color_space` 매개변수는 입력 텐서가 어떻게 해석되는지 결정합니다: + - `"sRGB"` — 입력이 sRGB로 인코딩된 Rec.709입니다. 역 sRGB EOTF가 적용됩니다. + - `"HDR"` — 입력이 HLG로 인코딩된 Rec.2020(BT.2100)입니다. 역 HLG OETF가 적용되어 장면-선형 광도를 얻습니다. + - `"linear"` — 입력이 이미 장면-선형(Rec.709 기본색)입니다. 변경 없이 그대로 기록됩니다. 렌더러/합성기 출력에 사용하십시오. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `images` | 저장된 이미지 결과 목록으로, 각 결과는 파일 이름, 하위 폴더 및 유형("output")을 포함합니다. 이 출력은 UI 표시 목적으로 사용됩니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/ko.md) + +--- +**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5` diff --git a/ko/built-in-nodes/SaveImageDataSetToFolder.mdx b/ko/built-in-nodes/SaveImageDataSetToFolder.mdx new file mode 100644 index 000000000..9f8cb9c70 --- /dev/null +++ b/ko/built-in-nodes/SaveImageDataSetToFolder.mdx @@ -0,0 +1,29 @@ +--- +title: "SaveImageDataSetToFolder - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveImageDataSetToFolder node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveImageDataSetToFolder" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/en.md) + +이 노드는 이미지 목록을 ComfyUI 출력 디렉터리 내의 지정된 폴더에 저장합니다. 여러 이미지를 입력으로 받아 사용자 정의 가능한 파일명 접두사를 사용하여 디스크에 기록합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `images` | 저장할 이미지 목록입니다. | IMAGE | 예 | 해당 없음 | +| `folder_name` | 이미지를 저장할 폴더 이름입니다(출력 디렉터리 내). 기본값은 "dataset"입니다. | STRING | 아니요 | 해당 없음 | +| `filename_prefix` | 저장된 이미지 파일명의 접두사입니다. 기본값은 "image"입니다. | STRING | 아니요 | 해당 없음 | + +**참고:** `images` 입력은 목록이므로 여러 이미지를 한 번에 받아 처리할 수 있습니다. `folder_name`과 `filename_prefix` 매개변수는 스칼라 값입니다. 목록이 연결된 경우 해당 목록의 첫 번째 값만 사용됩니다. + +## 출력 + +이 노드는 출력이 없습니다. 파일 시스템에 저장 작업을 수행하는 출력 노드입니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/ko.md) + +--- +**Source fingerprint (SHA-256):** `65c7905caa8ff2811054bec2830c1359d0c441b5d93f50bc4d0bf10645046556` diff --git a/ko/built-in-nodes/SaveImageTextDataSetToFolder.mdx b/ko/built-in-nodes/SaveImageTextDataSetToFolder.mdx new file mode 100644 index 000000000..a85e27dbb --- /dev/null +++ b/ko/built-in-nodes/SaveImageTextDataSetToFolder.mdx @@ -0,0 +1,32 @@ +--- +title: "SaveImageTextDataSetToFolder - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveImageTextDataSetToFolder node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveImageTextDataSetToFolder" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/en.md) + +이미지와 텍스트 데이터셋을 폴더에 저장 노드는 이미지 목록과 해당하는 텍스트 캡션을 ComfyUI 출력 디렉터리 내의 지정된 폴더에 저장합니다. 각 이미지가 PNG 파일로 저장될 때, 동일한 기본 이름을 가진 텍스트 파일이 생성되어 해당 캡션을 저장합니다. 이는 생성된 이미지와 해당 설명으로 구성된 체계적인 데이터셋을 만드는 데 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `images` | 저장할 이미지 목록입니다. | IMAGE | 예 | - | +| `texts` | 저장할 텍스트 캡션 목록입니다. | STRING | 예 | - | +| `folder_name` | 이미지를 저장할 폴더 이름입니다(출력 디렉터리 내). (기본값: "dataset") | STRING | 아니요 | - | +| `filename_prefix` | 저장된 이미지 파일 이름의 접두사입니다. (기본값: "image") | STRING | 아니요 | - | + +**참고:** `images` 및 `texts` 입력은 목록입니다. 이 노드는 텍스트 캡션의 개수가 제공된 이미지 개수와 일치할 것으로 예상합니다. 각 캡션은 해당 이미지와 쌍을 이루는 `.txt` 파일에 저장됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| - | 이 노드는 출력이 없습니다. 파일을 파일 시스템에 직접 저장합니다. | - | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/ko.md) + +--- +**Source fingerprint (SHA-256):** `0c76f623e97b1502c850e0a59dc9edd7c241bcd823f5e32a8dcdd8b8160d2e44` diff --git a/ko/built-in-nodes/SaveLatent.mdx b/ko/built-in-nodes/SaveLatent.mdx new file mode 100644 index 000000000..c619728d7 --- /dev/null +++ b/ko/built-in-nodes/SaveLatent.mdx @@ -0,0 +1,30 @@ +--- +title: "SaveLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveLatent" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLatent/en.md) + +SaveLatent 노드는 잠재 텐서를 디스크에 파일로 저장하여 추후 사용이나 공유가 가능하도록 합니다. 잠재 샘플을 입력받아 프롬프트 정보를 포함한 선택적 메타데이터와 함께 출력 디렉터리에 저장합니다. 이 노드는 잠재 데이터 구조를 유지하면서 파일 이름 지정과 구성을 자동으로 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `잠재 데이터` | 디스크에 저장할 잠재 샘플입니다 | LATENT | 예 | - | +| `파일명 접두사` | 출력 파일 이름의 접두사입니다 (기본값: "latents/ComfyUI") | STRING | 아니요 | - | +| `prompt` | 메타데이터에 포함할 프롬프트 정보입니다 (숨김 매개변수) | PROMPT | 아니요 | - | +| `extra_pnginfo` | 메타데이터에 포함할 추가 PNG 정보입니다 (숨김 매개변수) | EXTRA_PNGINFO | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `ui` | ComfyUI 인터페이스에서 저장된 잠재 파일의 위치 정보를 제공합니다 | UI | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLatent/ko.md) + +--- +**Source fingerprint (SHA-256):** `dc7fd101c8dd93e2bcc39de64e0c39abe8e056c9e5932587fc6ce80e2fd143e8` diff --git a/ko/built-in-nodes/SaveLoRA.mdx b/ko/built-in-nodes/SaveLoRA.mdx new file mode 100644 index 000000000..9df464bd3 --- /dev/null +++ b/ko/built-in-nodes/SaveLoRA.mdx @@ -0,0 +1,29 @@ +--- +title: "SaveLoRA - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveLoRA node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveLoRA" +icon: "circle" +mode: wide +--- +SaveLoRA 노드는 LoRA(Low-Rank Adaptation) 모델을 파일로 저장합니다. LoRA 모델을 입력으로 받아 출력 디렉토리에 `.safetensors` 파일로 기록합니다. 최종 파일 이름에 포함될 파일명 접두사와 선택적 단계(step) 수를 지정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `lora` | 저장할 LoRA 모델입니다. LoRA 레이어가 적용된 모델은 사용하지 마십시오. | LORA_MODEL | 예 | 해당 없음 | +| `prefix` | 저장된 LoRA 파일에 사용할 접두사입니다(기본값: "loras/ComfyUI_trained_lora"). | STRING | 예 | 해당 없음 | +| `steps` | 선택 사항: LoRA가 학습된 단계(step) 수로, 저장된 파일 이름을 지정하는 데 사용됩니다. | INT | 아니요 | 해당 없음 | + +**참고:** `lora` 입력은 순수 LoRA 모델이어야 합니다. LoRA 레이어가 적용된 기본 모델은 제공하지 마십시오. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| *없음* | 이 노드는 워크플로우에 데이터를 출력하지 않습니다. 파일을 디스크에 저장하는 출력 노드입니다. | 해당 없음 | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRA/ko.md) + +--- +**Source fingerprint (SHA-256):** `e68a449d741c908f23fc1585d848254d78c310ad19efbd139c33c9ddef3145c7` diff --git a/ko/built-in-nodes/SaveLoRANode.mdx b/ko/built-in-nodes/SaveLoRANode.mdx new file mode 100644 index 000000000..210de08a4 --- /dev/null +++ b/ko/built-in-nodes/SaveLoRANode.mdx @@ -0,0 +1,27 @@ +--- +title: "SaveLoRANode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveLoRANode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveLoRANode" +icon: "circle" +mode: wide +--- +SaveLoRA 노드는 LoRA(Low-Rank Adaptation) 모델을 출력 디렉토리에 저장합니다. LoRA 모델을 입력으로 받아 자동 생성된 파일 이름으로 safetensors 파일을 생성합니다. 파일 이름 접두사를 사용자 지정할 수 있으며, 선택적으로 학습 단계 수를 파일 이름에 포함하여 더 체계적으로 관리할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `lora` | 저장할 LoRA 모델입니다. LoRA 레이어가 적용된 모델은 사용하지 마십시오. | LORA_MODEL | 예 | - | +| `prefix` | 저장된 LoRA 파일에 사용할 접두사입니다(기본값: "loras/ComfyUI_trained_lora"). | STRING | 예 | - | +| `steps` | 선택 사항: LoRA가 학습된 단계 수로, 저장된 파일 이름을 지정하는 데 사용됩니다. | INT | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| *없음* | 이 노드는 출력을 반환하지 않지만 LoRA 모델을 출력 디렉토리에 저장합니다. | - | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRANode/ko.md) + +--- +**Source fingerprint (SHA-256):** `06a1067433aa4b720b51050b09fbad4870caf12c5e92f788d44ea022a39efef4` diff --git a/ko/built-in-nodes/SaveSVGNode.mdx b/ko/built-in-nodes/SaveSVGNode.mdx new file mode 100644 index 000000000..9ac8f3a84 --- /dev/null +++ b/ko/built-in-nodes/SaveSVGNode.mdx @@ -0,0 +1,30 @@ +--- +title: "SaveSVGNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveSVGNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveSVGNode" +icon: "circle" +mode: wide +--- +# 개요 + +SVG 파일을 디스크에 저장합니다. 이 노드는 SVG 데이터를 입력으로 받아 선택적 메타데이터를 포함하여 출력 디렉토리에 저장합니다. 노드는 카운터 접미사를 사용하여 파일 이름을 자동으로 처리하며, 워크플로우 프롬프트 정보를 SVG 파일에 직접 포함시킬 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `SVG` | 디스크에 저장할 SVG 데이터 | SVG | 예 | - | +| `파일명 접두사` | 저장할 파일의 접두사입니다. %date:yyyy-MM-dd% 또는 %Empty Latent Image.width%와 같은 형식 정보를 포함하여 노드의 값을 포함시킬 수 있습니다. (기본값: "svg/ComfyUI") | STRING | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `ui` | ComfyUI 인터페이스에 표시하기 위한 파일 이름, 하위 폴더 및 유형을 포함한 파일 정보를 반환합니다 | DICT | + +**참고:** 이 노드는 사용 가능한 경우 워크플로우 메타데이터(프롬프트 및 추가 PNG 정보)를 SVG 파일에 자동으로 포함시킵니다. 메타데이터는 SVG의 메타데이터 요소 내에 CDATA 섹션으로 삽입됩니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveSVGNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `a294103d8d2306ce6765912a98c5572323bb5394909ee384591534b0b404ea70` diff --git a/ko/built-in-nodes/SaveTrainingDataset.mdx b/ko/built-in-nodes/SaveTrainingDataset.mdx new file mode 100644 index 000000000..1051c3af4 --- /dev/null +++ b/ko/built-in-nodes/SaveTrainingDataset.mdx @@ -0,0 +1,30 @@ +--- +title: "SaveTrainingDataset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveTrainingDataset node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveTrainingDataset" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveTrainingDataset/en.md) + +이 노드는 준비된 학습 데이터셋을 컴퓨터의 하드 드라이브에 저장합니다. 이미지 잠재(latent)와 해당 텍스트 조건(conditioning)을 포함하는 인코딩된 데이터를 받아, 관리가 용이하도록 여러 개의 작은 파일(샤드)로 구성합니다. 노드는 출력 디렉토리에 자동으로 폴더를 생성하고, 데이터 파일과 데이터셋을 설명하는 메타데이터 파일을 저장합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `latents` | MakeTrainingDataset에서 생성된 잠재 딕셔너리 목록입니다. | LATENT | 예 | 해당 없음 | +| `conditioning` | MakeTrainingDataset에서 생성된 조건 리스트 목록입니다. | CONDITIONING | 예 | 해당 없음 | +| `folder_name` | 데이터셋을 저장할 폴더 이름입니다(출력 디렉토리 내에 생성됨). (기본값: "training_dataset") | STRING | 아니요 | 해당 없음 | +| `shard_size` | 샤드 파일당 샘플 수입니다. (기본값: 1000) | INT | 아니요 | 1 ~ 100000 | + +**참고:** `latents` 목록의 항목 수는 `conditioning` 목록의 항목 수와 정확히 일치해야 합니다. 이 개수가 일치하지 않으면 노드에서 오류가 발생합니다. + +## 출력 + +이 노드는 출력 데이터를 생성하지 않습니다. 디스크에 파일을 저장하는 기능을 수행합니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveTrainingDataset/ko.md) + +--- +**Source fingerprint (SHA-256):** `1b0108be7362c0cb8ba16ffbf94cf42be2d04159aacbabe1ff0890083d1733b3` diff --git a/ko/built-in-nodes/SaveVideo.mdx b/ko/built-in-nodes/SaveVideo.mdx new file mode 100644 index 000000000..2b3016cd3 --- /dev/null +++ b/ko/built-in-nodes/SaveVideo.mdx @@ -0,0 +1,28 @@ +--- +title: "SaveVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveVideo" +icon: "circle" +mode: wide +--- +SaveVideo 노드는 입력된 비디오 콘텐츠를 ComfyUI 출력 디렉터리에 저장합니다. 저장할 파일의 파일명 접두사, 비디오 형식 및 코덱을 지정할 수 있습니다. 이 노드는 카운터 증가를 통한 파일명 자동 처리 기능을 제공하며, 저장된 비디오에 워크플로우 메타데이터를 포함할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `비디오` | 저장할 비디오입니다. | VIDEO | 예 | - | +| `파일명 접두사` | 저장할 파일의 접두사입니다. %date:yyyy-MM-dd% 또는 %Empty Latent Image.width%와 같은 형식 정보를 포함하여 노드의 값을 사용할 수 있습니다 (기본값: "video/ComfyUI"). | STRING | 아니요 | - | +| `포맷` | 비디오를 저장할 형식입니다 (기본값: "auto"). | COMBO | 아니요 | `"auto"`
`"mp4"`
`"webm"`
`"mkv"`
`"gif"` | +| `코덱` | 비디오에 사용할 코덱입니다 (기본값: "auto"). | COMBO | 아니요 | `"auto"`
`"h264"`
`"h265"`
`"vp9"`
`"av1"`
`"prores"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| *출력 없음* | 이 노드는 출력 데이터를 반환하지 않습니다. | - | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `506ddc8820924688cccb9fd838ff9c0f5217a38f708f28f15a060be9325cea61` diff --git a/ko/built-in-nodes/SaveWEBM.mdx b/ko/built-in-nodes/SaveWEBM.mdx new file mode 100644 index 000000000..8cb3b0ace --- /dev/null +++ b/ko/built-in-nodes/SaveWEBM.mdx @@ -0,0 +1,29 @@ +--- +title: "SaveWEBM - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveWEBM node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveWEBM" +icon: "circle" +mode: wide +--- +SaveWEBM 노드는 이미지 시퀀스를 WEBM 비디오 파일로 저장합니다. 여러 입력 이미지를 받아 VP9 또는 AV1 코덱을 사용하여 구성 가능한 품질 설정과 프레임 속도로 비디오로 인코딩합니다. 결과 비디오 파일은 프롬프트 정보를 포함한 메타데이터와 함께 출력 디렉토리에 저장됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 비디오 프레임으로 인코딩할 입력 이미지 시퀀스 | IMAGE | 예 | - | +| `파일명_접두사` | 출력 파일 이름의 접두사 (기본값: "ComfyUI") | STRING | 아니요 | - | +| `코덱` | 인코딩에 사용할 비디오 코덱 | COMBO | 예 | "vp9"
"av1" | +| `fps` | 출력 비디오의 프레임 속도 (기본값: 24.0) | FLOAT | 아니요 | 0.01-1000.0 | +| `crf` | 품질 설정으로, crf 값이 높을수록 파일 크기는 작아지고 품질은 낮아지며, crf 값이 낮을수록 파일 크기는 커지고 품질은 높아집니다 (기본값: 32.0) | FLOAT | 아니요 | 0-63.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `ui` | 저장된 WEBM 파일을 보여주는 비디오 미리보기 | PREVIEW | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveWEBM/ko.md) + +--- +**Source fingerprint (SHA-256):** `761ce5148c273ffe3789be75c2a00268241d3ec7ecebd5b10efd1b1cc98d85ea` diff --git a/ko/built-in-nodes/ScaleROPE.mdx b/ko/built-in-nodes/ScaleROPE.mdx new file mode 100644 index 000000000..48d4cae1b --- /dev/null +++ b/ko/built-in-nodes/ScaleROPE.mdx @@ -0,0 +1,31 @@ +--- +title: "ScaleROPE - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ScaleROPE node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ScaleROPE" +icon: "circle" +mode: wide +--- +ScaleROPE 노드는 모델의 X, Y, T(시간) 구성 요소에 개별적인 스케일링 및 시프트 계수를 적용하여 ROPE(Rotary Position Embedding)를 수정할 수 있게 해줍니다. 이는 모델의 위치 인코딩 동작을 조정하는 데 사용되는 고급 실험적 노드입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | ROPE 매개변수가 수정될 모델입니다. | MODEL | 예 | - | +| `X축 스케일` | ROPE의 X 구성 요소에 적용할 스케일링 계수입니다(기본값: 1.0). | FLOAT | 아니요 | 0.0 - 100.0 | +| `X축 이동` | ROPE의 X 구성 요소에 적용할 시프트 값입니다(기본값: 0.0). | FLOAT | 아니요 | -256.0 - 256.0 | +| `Y축 스케일` | ROPE의 Y 구성 요소에 적용할 스케일링 계수입니다(기본값: 1.0). | FLOAT | 아니요 | 0.0 - 100.0 | +| `Y축 이동` | ROPE의 Y 구성 요소에 적용할 시프트 값입니다(기본값: 0.0). | FLOAT | 아니요 | -256.0 - 256.0 | +| `시간 축 스케일` | ROPE의 T(시간) 구성 요소에 적용할 스케일링 계수입니다(기본값: 1.0). | FLOAT | 아니요 | 0.0 - 100.0 | +| `시간 축 이동` | ROPE의 T(시간) 구성 요소에 적용할 시프트 값입니다(기본값: 0.0). | FLOAT | 아니요 | -256.0 - 256.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 새로운 ROPE 스케일링 및 시프트 매개변수가 적용된 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ScaleROPE/ko.md) + +--- +**Source fingerprint (SHA-256):** `c5ca193a46faa9477a2e6c99b905205685e8add8faa2f2d161c7c384b3dc2441` diff --git a/ko/built-in-nodes/Sd4xupscaleConditioning.mdx b/ko/built-in-nodes/Sd4xupscaleConditioning.mdx new file mode 100644 index 000000000..6466ebffd --- /dev/null +++ b/ko/built-in-nodes/Sd4xupscaleConditioning.mdx @@ -0,0 +1,28 @@ +--- +title: "Sd4xupscaleConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Sd4xupscaleConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Sd4xupscaleConditioning" +icon: "circle" +mode: wide +--- +이 노드는 이미지 해상도를 4배로 향상시키는 업스케일 과정에 특화되어 있으며, 출력 결과를 정교하게 다듬기 위해 컨디셔닝 요소를 통합합니다. 확산 기법을 활용하여 이미지를 업스케일하는 동시에 스케일 비율과 노이즈 증강을 조정하여 향상 과정을 미세 조정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | Compy 데이터 타입 | +| --- | --- | --- | +| `images` | 업스케일할 입력 이미지입니다. 이 매개변수는 출력 이미지의 품질과 해상도에 직접적인 영향을 미치므로 매우 중요합니다. | `IMAGE` | +| `positive` | 출력 이미지에서 원하는 속성이나 특징을 향해 업스케일 과정을 안내하는 긍정적 컨디셔닝 요소입니다. | `CONDITIONING` | +| `negative` | 업스케일 과정에서 피해야 할 부정적 컨디셔닝 요소로, 출력 결과가 바람직하지 않은 속성이나 특징에서 벗어나도록 유도합니다. | `CONDITIONING` | +| `scale_ratio` | 이미지 해상도가 증가되는 배율을 결정합니다. 스케일 비율이 높을수록 더 큰 출력 이미지가 생성되어 더 세밀한 디테일과 선명도를 얻을 수 있습니다. | `FLOAT` | +| `noise_augmentation` | 업스케일 과정 중 적용되는 노이즈 증강 수준을 제어합니다. 이를 통해 가변성을 도입하고 출력 이미지의 견고성을 향상시킬 수 있습니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `positive` | 업스케일 과정 결과로 정제된 긍정적 컨디셔닝 요소입니다. | `CONDITIONING` | +| `negative` | 업스케일 과정 결과로 정제된 부정적 컨디셔닝 요소입니다. | `CONDITIONING` | +| `latent` | 업스케일 과정 중 생성된 잠재 표현으로, 추가 처리나 모델 학습에 활용할 수 있습니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Sd4xupscaleConditioning/ko.md) diff --git a/ko/built-in-nodes/SeedVR2Conditioning.mdx b/ko/built-in-nodes/SeedVR2Conditioning.mdx new file mode 100644 index 000000000..75e403626 --- /dev/null +++ b/ko/built-in-nodes/SeedVR2Conditioning.mdx @@ -0,0 +1,31 @@ +--- +title: "SeedVR2Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SeedVR2Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SeedVR2Conditioning" +icon: "circle" +mode: wide +--- +# Apply SeedVR2 Conditioning 노드 + +이 노드는 SeedVR2 모델과 함께 사용하기 위해 VAE 잠재 변수로부터 긍정 및 부정 컨디셔닝을 구축합니다. 이미지 또는 비디오 생성 과정을 안내하는 컨디셔닝 데이터를 준비합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `model` | SeedVR2 모델입니다. | MODEL | 예 | - | +| `vae_conditioning` | 컨디셔닝을 구축할 VAE 잠재 변수입니다. | LATENT | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `model` | SeedVR2 모델입니다. | MODEL | +| `positive` | 생성을 안내하기 위한 긍정 컨디셔닝입니다. | CONDITIONING | +| `negative` | 생성을 안내하기 위한 부정 컨디셔닝입니다. | CONDITIONING | +| `latent` | 처리된 잠재 샘플입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SeedVR2Conditioning/ko.md) + +--- +**Source fingerprint (SHA-256):** `8f99c0e712c5c6fc76261d6d72c5c08b7202c77827ecf2549240fc530c1b65bd` diff --git a/ko/built-in-nodes/SeedVR2PostProcessing.mdx b/ko/built-in-nodes/SeedVR2PostProcessing.mdx new file mode 100644 index 000000000..95d810fe0 --- /dev/null +++ b/ko/built-in-nodes/SeedVR2PostProcessing.mdx @@ -0,0 +1,31 @@ +--- +title: "SeedVR2PostProcessing - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SeedVR2PostProcessing node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SeedVR2PostProcessing" +icon: "circle" +mode: wide +--- +# Post-Process SeedVR2 Output + +이 노드는 생성된 이미지를 원본 리사이즈 이미지와 정렬하고 선택적으로 색상 보정을 적용합니다. SeedVR2 업스케일링 프로세스의 출력을 받아 원본 참조 이미지의 색상과 크기에 맞게 조정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `images` | 처리할 생성된 이미지입니다. | IMAGE | 예 | - | +| `original_resized_images` | 전처리 전의 원본 리사이즈 이미지로, 참조용으로 사용됩니다. | IMAGE | 예 | - | +| `color_correction_method` | 생성된 이미지의 색상을 원본 이미지에 맞추는 방법입니다. lab: CIELAB 색공간에서 색상을 전송하여 세부 정보를 보존합니다(가장 정확함). wavelet: 저주파 색상을 전송하고 업스케일된 고주파 세부 정보를 유지합니다. adain: 채널별 평균/표준편차를 일치시킵니다(가장 빠르며 전반적인 색조 조정). none: 색상 전송을 건너뛰고(기하학적 정렬만 수행) 기본값: "lab" | COMBO | 예 | `"lab"`
`"wavelet"`
`"adain"`
`"none"` | + +**참고:** `images`와 `original_resized_images` 입력의 크기가 일치해야 합니다. 원본 이미지에 알파 채널(4채널)이 있는 경우 해당 채널이 유지되어 출력에 적용됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `images` | 색상 보정이 적용되고 참조 이미지의 크기에 맞춰 정렬된 처리된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SeedVR2PostProcessing/ko.md) + +--- +**Source fingerprint (SHA-256):** `befbe8ccd591c8064a07ae4bb8df853c7ce10f3de83ebfa9214755c22faf28b0` diff --git a/ko/built-in-nodes/SeedVR2Preprocess.mdx b/ko/built-in-nodes/SeedVR2Preprocess.mdx new file mode 100644 index 000000000..ecfe0ba6c --- /dev/null +++ b/ko/built-in-nodes/SeedVR2Preprocess.mdx @@ -0,0 +1,27 @@ +--- +title: "SeedVR2Preprocess - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SeedVR2Preprocess node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SeedVR2Preprocess" +icon: "circle" +mode: wide +--- +# Pre-Process SeedVR2 Input + +이 노드는 크기가 조정된 이미지에 패딩을 적용하여 SeedVR2 모델에 입력할 준비를 합니다. 처리 과정에서 알파 채널을 제거하며, 이후 함께 제공되는 Post-Process SeedVR2 Output 노드가 원본 크기 조정 이미지를 사용하여 알파 채널을 복원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `resized_images` | 처리할 크기 조정 이미지입니다. | IMAGE | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `images` | SeedVR2 처리를 위해 준비된 패딩 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SeedVR2Preprocess/ko.md) + +--- +**Source fingerprint (SHA-256):** `b8135d0e27f75a673f52d080c6704de8cc86d15b5d16eca055d55e2d20837dc7` diff --git a/ko/built-in-nodes/SeedVR2ProgressiveSampler.mdx b/ko/built-in-nodes/SeedVR2ProgressiveSampler.mdx new file mode 100644 index 000000000..95a56a23d --- /dev/null +++ b/ko/built-in-nodes/SeedVR2ProgressiveSampler.mdx @@ -0,0 +1,45 @@ +--- +title: "SeedVR2ProgressiveSampler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SeedVR2ProgressiveSampler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SeedVR2ProgressiveSampler" +icon: "circle" +mode: wide +--- +# SeedVR2ProgressiveSampler + +SeedVR2 네이티브 워크플로우를 위한 순차적 시간 청크 샘플러입니다. 이 노드는 긴 비디오 잠재 변수를 더 작은 시간 청크로 분할하고, 각 청크를 순차적으로 샘플링한 후 결과를 혼합하여 처리합니다. SeedVR2 모델로 작업할 때 메모리 부족 오류가 발생할 수 있는 시퀀스에서 표준 KSampler를 대체하여 사용할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `model` | 입력 잠재 변수 노이즈 제거에 사용되는 모델 | MODEL | 예 | | +| `seed` | 노이즈 생성에 사용되는 무작위 시드(기본값: 0) | INT | 예 | 0 ~ 0xffffffffffffffff | +| `steps` | 노이즈 제거 과정에 사용되는 단계 수(기본값: 20) | INT | 예 | 1 ~ 10000 | +| `cfg` | 분류기-자유 유도(CFG) 척도는 창의성과 프롬프트 준수 간의 균형을 조절합니다. 값이 높을수록 프롬프트와 더 일치하는 이미지를 생성하지만 너무 높으면 품질에 부정적인 영향을 미칩니다(기본값: 1.0) | FLOAT | 예 | 0.0 ~ 100.0 | +| `sampler_name` | 샘플링 시 사용되는 알고리즘으로, 생성 결과의 품질, 속도 및 스타일에 영향을 미칠 수 있습니다 | COMBO | 예 | 여러 옵션 사용 가능 | +| `scheduler` | 스케줄러는 이미지를 형성하기 위해 노이즈가 점진적으로 제거되는 방식을 제어합니다 | COMBO | 예 | 여러 옵션 사용 가능 | +| `positive` | 이미지에 포함하려는 속성을 설명하는 컨디셔닝 | CONDITIONING | 예 | | +| `negative` | 이미지에서 제외하려는 속성을 설명하는 컨디셔닝 | CONDITIONING | 예 | | +| `latent` | 노이즈를 제거할 잠재 이미지 | LATENT | 예 | | +| `denoise` | 적용되는 노이즈 제거 정도로, 값이 낮을수록 초기 이미지의 구조를 유지하여 이미지 간 샘플링이 가능합니다(기본값: 1.0) | FLOAT | 예 | 0.0 ~ 1.0 | +| `frames_per_chunk` | 시간 청크당 픽셀 프레임 수입니다. SeedVR2 제약 조건을 충족하려면 4n+1 값(1, 5, 9, 13, 17, 21, ...)이어야 합니다(기본값: 21) | INT | 예 | 1 ~ 16384 (4 단위) | +| `temporal_overlap` | 인접 청크 간 이음새를 숨기기 위해 혼합되는 잠재 프레임 수입니다. 0은 혼합하지 않음을 의미합니다(기본값: 0) | INT | 예 | 0 ~ 16384 | +| `chunking_mode` | manual = frames_per_chunk를 정확히 사용합니다. auto = VRAM에 맞을 때까지 청크 크기를 줄입니다(기본값: "manual") | COMBO | 예 | "manual"
"auto" | + +**`frames_per_chunk` 참고 사항:** 이 매개변수는 4n+1 픽셀 프레임 수(1, 5, 9, 13, 17, 21, ...)여야 합니다. 유효하지 않은 값이 제공되면 노드에서 오류가 발생합니다. + +**`temporal_overlap` 참고 사항:** 중첩 값은 유효한 청크 처리를 보장하기 위해 자동으로 잠재 청크 크기보다 최대 1 작은 값으로 제한됩니다. + +**`chunking_mode` 참고 사항:** "auto"로 설정하면 현재 청크가 메모리 부족 오류를 발생시킬 경우 노드가 자동으로 더 작은 청크 크기를 시도합니다. 모든 시도가 실패하면 노드에서 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `latent` | 모든 시간 청크에서 다시 단일 축소된 SeedVR2 잠재 텐서로 연결된 노이즈 제거 잠재 출력 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SeedVR2ProgressiveSampler/ko.md) + +--- +**Source fingerprint (SHA-256):** `a4574c3e619954b5569551b5b2ba112ecbff918dcebb5ba718a14e77701144a9` diff --git a/ko/built-in-nodes/SelectCLIPDevice.mdx b/ko/built-in-nodes/SelectCLIPDevice.mdx new file mode 100644 index 000000000..393ff0648 --- /dev/null +++ b/ko/built-in-nodes/SelectCLIPDevice.mdx @@ -0,0 +1,28 @@ +--- +title: "SelectCLIPDevice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelectCLIPDevice node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SelectCLIPDevice" +icon: "circle" +mode: wide +--- +## 개요 + +Select CLIP Device 노드는 CLIP 텍스트 인코더가 실행될 장치(CPU 또는 특정 GPU)를 선택할 수 있게 해줍니다. 기본적으로 장치는 모델 로더에 의해 할당되지만, CPU나 특정 GPU를 사용하도록 재정의할 수 있습니다. 요청한 장치가 시스템에 존재하지 않는 경우, 노드는 오류를 발생시키는 대신 CLIP을 변경 없이 그대로 전달하고 메시지를 기록합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 특정 장치에 할당할 CLIP 텍스트 인코더입니다. | CLIP | 예 | | +| `device` | CLIP 텍스트 인코더를 배치할 장치입니다. `"default"`는 로더가 할당한 장치로 복원합니다. `"cpu"`는 로드 및 오프로드 장치를 모두 CPU로 고정합니다. `"gpu:N"`은 로드 장치를 N번째 사용 가능한 GPU로 고정합니다(기본값: `"default"`). | COMBO | 예 | `"default"`
`"cpu"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `clip` | 선택한 장치에 할당된 CLIP 텍스트 인코더, 또는 요청한 장치를 사용할 수 없는 경우 변경 없이 그대로 전달된 원본 CLIP입니다. | CLIP | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectCLIPDevice/ko.md) + +--- +**Source fingerprint (SHA-256):** `92af94d9f5eea27095cc008debdf7339d26888a0e2cc8bd71ae9c9ba8718eb01` diff --git a/ko/built-in-nodes/SelectModelDevice.mdx b/ko/built-in-nodes/SelectModelDevice.mdx new file mode 100644 index 000000000..c13e8e229 --- /dev/null +++ b/ko/built-in-nodes/SelectModelDevice.mdx @@ -0,0 +1,38 @@ +--- +title: "SelectModelDevice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelectModelDevice node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SelectModelDevice" +icon: "circle" +mode: wide +--- +## 개요 + +SelectModelDevice 노드는 확산 모델이 실행될 장치(CPU 또는 특정 GPU)를 수동으로 선택할 수 있게 해줍니다. 모델을 다른 장치로 이동시킬 수 있으며, 다른 멀티 GPU 노드와의 충돌을 자동으로 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 특정 장치에 배치할 확산 모델입니다. | MODEL | 예 | | +| `device` | 모델의 대상 장치입니다. 옵션은 사용 가능한 GPU를 기반으로 동적으로 생성됩니다. (기본값: "default") | COMBO | 예 | `"default"`
`"cpu"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | + +**매개변수 세부 설명:** +- `"default"`: 이전 SelectModelDevice 노드에서 변경했더라도 모델 로더가 할당한 장치로 복원합니다. +- `"cpu"`: 로드 및 오프로드 장치를 모두 CPU로 고정합니다. +- `"gpu:N"`: 로드 장치를 N번째 사용 가능한 GPU로 고정합니다(예: 첫 번째 GPU의 경우 `"gpu:0"`). 오프로드 장치는 로더의 원래 선택으로 복원됩니다. + +**중요 참고 사항:** +- 요청한 장치가 현재 시스템에 존재하지 않는 경우(예: 2-GPU 시스템에서 생성된 워크플로우를 1-GPU 시스템에서 열 경우), 노드는 실패하지 않고 모델을 변경 없이 통과시키며 메시지를 기록합니다. +- 모델이 이미 요청된 장치에 있는 경우, 노드는 빠른 경로를 사용하여 모델을 다시 로드하지 않습니다. +- 이미 모델을 사용한 노드(예: KSampler) *이후*에 이 노드를 배치하는 것은 권장되지 않습니다. 이전 노드에서 변경된 상태가 장치가 원본과 일치할 경우 관찰되기 때문입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 선택한 장치에 배치된 확산 모델입니다. 장치가 유효하지 않거나 사용할 수 없는 경우 모델은 변경 없이 통과됩니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectModelDevice/ko.md) + +--- +**Source fingerprint (SHA-256):** `02841975f123cc8ae8152ea86f1798e0e7e68255ecd11e04271da886b75eb0fd` diff --git a/ko/built-in-nodes/SelectVAEDevice.mdx b/ko/built-in-nodes/SelectVAEDevice.mdx new file mode 100644 index 000000000..635ab24bb --- /dev/null +++ b/ko/built-in-nodes/SelectVAEDevice.mdx @@ -0,0 +1,28 @@ +--- +title: "SelectVAEDevice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelectVAEDevice node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SelectVAEDevice" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 VAE 모델을 배치할 GPU 장치를 수동으로 선택할 수 있게 해줍니다. 기본적으로 VAE는 모델 로더가 할당한 장치에 배치되지만, 특정 GPU(예: `gpu:0`, `gpu:1`)에 고정할 수 있습니다. 선택한 장치를 사용할 수 없는 경우, 노드는 VAE를 변경 없이 그대로 전달하고 오류 대신 메시지를 기록합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `vae` | 특정 장치에 할당할 VAE 모델입니다. | VAE | 예 | | +| `장치` | VAE의 대상 장치입니다. `"default"`는 로더가 할당한 장치로 복원합니다. `"gpu:N"`은 VAE를 N번째 사용 가능한 GPU에 고정합니다. CPU는 지원되지 않는 선택지이며, 제공될 경우 무시됩니다. (기본값: `"default"`) | COMBO | 예 | `"default"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `vae` | 선택한 장치에 할당된 VAE 모델입니다. 요청한 장치를 사용할 수 없거나 유효하지 않은 경우, VAE는 변경 없이 그대로 전달됩니다. | VAE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectVAEDevice/ko.md) + +--- +**Source fingerprint (SHA-256):** `011154043fc02f930b0074de656bb24baf4dfe74bcfd2e89ea76284f0a5b7d8e` diff --git a/ko/built-in-nodes/SelfAttentionGuidance.mdx b/ko/built-in-nodes/SelfAttentionGuidance.mdx new file mode 100644 index 000000000..59cd35ab1 --- /dev/null +++ b/ko/built-in-nodes/SelfAttentionGuidance.mdx @@ -0,0 +1,31 @@ +--- +title: "SelfAttentionGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelfAttentionGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SelfAttentionGuidance" +icon: "circle" +mode: wide +--- +# Self-Attention Guidance (자기 주의 유도) + +자기 주의 유도 노드는 샘플링 과정에서 주의 메커니즘을 수정하여 확산 모델에 유도를 적용합니다. 비조건부 잡음 제거 단계에서 주의 점수를 포착하고 이를 사용하여 최종 출력에 영향을 미치는 흐릿한 유도 맵을 생성합니다. 이 기법은 모델 자체의 주의 패턴을 활용하여 생성 과정을 안내하는 데 도움을 줍니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 자기 주의 유도를 적용할 확산 모델 | MODEL | 예 | - | +| `스케일` | 자기 주의 유도 효과의 강도 (기본값: 0.5) | FLOAT | 아니요 | -2.0 ~ 5.0 | +| `블러 시그마` | 유도 맵을 생성하는 데 적용되는 흐림 정도 (기본값: 2.0) | FLOAT | 아니요 | 0.0 ~ 10.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 자기 주의 유도가 적용된 수정된 모델 | MODEL | + +**참고:** 이 노드는 현재 실험 단계이며 청크 배치에 제한이 있습니다. 하나의 UNet 호출에서만 주의 점수를 저장할 수 있으며, 더 큰 배치 크기에서는 제대로 작동하지 않을 수 있습니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelfAttentionGuidance/ko.md) + +--- +**Source fingerprint (SHA-256):** `5f16ecd8f74bfd71073c6e3a65be08e54e4f5b9c56fe08deb48f35df381e82fa` diff --git a/ko/built-in-nodes/SetClipHooks.mdx b/ko/built-in-nodes/SetClipHooks.mdx new file mode 100644 index 000000000..ed5082435 --- /dev/null +++ b/ko/built-in-nodes/SetClipHooks.mdx @@ -0,0 +1,28 @@ +--- +title: "SetClipHooks - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SetClipHooks node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SetClipHooks" +icon: "circle" +mode: wide +--- +SetClipHooks 노드는 CLIP 모델에 사용자 정의 후크를 적용하여 동작을 고급 수준으로 수정할 수 있도록 합니다. 이 노드는 컨디셔닝 출력에 후크를 적용하고 선택적으로 클립 스케줄링 기능을 활성화할 수 있습니다. 지정된 후크 구성이 적용된 입력 CLIP 모델의 복제본을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 후크를 적용할 CLIP 모델 | CLIP | 예 | - | +| `조건에 적용` | 컨디셔닝 출력에 후크를 적용할지 여부 (기본값: True) | BOOLEAN | 예 | - | +| `clip 스케쥴 사용` | 클립 스케줄링을 활성화할지 여부 (기본값: False) | BOOLEAN | 예 | - | +| `후크` | CLIP 모델에 적용할 선택적 후크 그룹 | HOOKS | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `clip` | 지정된 후크가 적용된 CLIP 모델의 복제본 | CLIP | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetClipHooks/ko.md) + +--- +**Source fingerprint (SHA-256):** `904a878638c015bdce1983ae0c11a2b580b271090fca39edb304f6ed90c8c66d` diff --git a/ko/built-in-nodes/SetFirstSigma.mdx b/ko/built-in-nodes/SetFirstSigma.mdx new file mode 100644 index 000000000..bfc30f801 --- /dev/null +++ b/ko/built-in-nodes/SetFirstSigma.mdx @@ -0,0 +1,26 @@ +--- +title: "SetFirstSigma - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SetFirstSigma node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SetFirstSigma" +icon: "circle" +mode: wide +--- +SetFirstSigma 노드는 시그마 값 시퀀스의 첫 번째 시그마 값을 사용자 지정 값으로 대체하여 수정합니다. 기존 시그마 시퀀스와 새 시그마 값을 입력으로 받아, 첫 번째 요소만 변경되고 나머지 시그마 값은 그대로 유지된 새 시그마 시퀀스를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `시그마 배열` | 수정할 시그마 값의 입력 시퀀스 | SIGMAS | 예 | - | +| `시그마` | 시퀀스의 첫 번째 요소로 설정할 새 시그마 값 (기본값: 136.0) | FLOAT | 예 | 0.0 ~ 20000.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `시그마 배열` | 첫 번째 요소가 사용자 지정 시그마 값으로 대체된 수정된 시그마 시퀀스 | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetFirstSigma/ko.md) + +--- +**Source fingerprint (SHA-256):** `2414acd7f3f42032c12bae2c581de4721f4c1daa912255fa0956caaa567291d5` diff --git a/ko/built-in-nodes/SetHookKeyframes.mdx b/ko/built-in-nodes/SetHookKeyframes.mdx new file mode 100644 index 000000000..98535ac0c --- /dev/null +++ b/ko/built-in-nodes/SetHookKeyframes.mdx @@ -0,0 +1,24 @@ +--- +title: "SetHookKeyframes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SetHookKeyframes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SetHookKeyframes" +icon: "circle" +mode: wide +--- +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `후크` | 키프레임 스케줄링이 적용될 후크 그룹입니다 | HOOKS | 예 | - | +| `KF 후크` | 후크 실행을 위한 타이밍 정보가 포함된 선택적 키프레임 그룹입니다 | HOOK_KEYFRAMES | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `후크` | 키프레임 스케줄링이 적용된 수정된 후크 그룹입니다(키프레임이 제공된 경우 복제됨) | HOOKS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetHookKeyframes/ko.md) + +--- +**Source fingerprint (SHA-256):** `48908e5247b18e5b7b1d894c2f1adcf6403e499125b0c3eb05978584b3d5759b` diff --git a/ko/built-in-nodes/SetLatentNoiseMask.mdx b/ko/built-in-nodes/SetLatentNoiseMask.mdx new file mode 100644 index 000000000..4126fab45 --- /dev/null +++ b/ko/built-in-nodes/SetLatentNoiseMask.mdx @@ -0,0 +1,23 @@ +--- +title: "SetLatentNoiseMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SetLatentNoiseMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SetLatentNoiseMask" +icon: "circle" +mode: wide +--- +이 노드는 잠재 샘플 세트에 노이즈 마스크를 적용하도록 설계되었습니다. 지정된 마스크를 통합하여 입력 샘플을 수정함으로써 노이즈 특성을 변경합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 데이터` | 노이즈 마스크가 적용될 잠재 샘플입니다. 이 매개변수는 수정될 기본 콘텐츠를 결정하는 데 중요합니다. | `LATENT` | +| `마스크` | 잠재 샘플에 적용할 마스크입니다. 샘플 내에서 노이즈 변경 영역과 강도를 정의합니다. | `MASK` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 노이즈 마스크가 적용된 수정된 잠재 샘플입니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetLatentNoiseMask/ko.md) diff --git a/ko/built-in-nodes/SetModelHooksOnCond.mdx b/ko/built-in-nodes/SetModelHooksOnCond.mdx new file mode 100644 index 000000000..99424b678 --- /dev/null +++ b/ko/built-in-nodes/SetModelHooksOnCond.mdx @@ -0,0 +1,28 @@ +--- +title: "SetModelHooksOnCond - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SetModelHooksOnCond node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SetModelHooksOnCond" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetModelHooksOnCond/en.md) + +이 노드는 조건화 데이터에 사용자 정의 후크를 연결하여 모델 실행 중 조건화 프로세스를 가로채고 수정할 수 있도록 합니다. 후크 집합을 가져와 제공된 조건화 데이터에 적용함으로써 텍스트-이미지 생성 워크플로우의 고급 사용자 정의를 가능하게 합니다. 후크가 연결된 수정된 조건화 데이터는 이후 처리 단계에서 사용하기 위해 반환됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `conditioning` | 후크가 연결될 조건화 데이터입니다 | CONDITIONING | 예 | - | +| `hooks` | 조건화 데이터에 적용될 후크 정의입니다 | HOOKS | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `conditioning` | 후크가 연결된 수정된 조건화 데이터입니다 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetModelHooksOnCond/ko.md) + +--- +**Source fingerprint (SHA-256):** `a6e63a3a4d94d1b66a82d449af5ae001e1fc4a04f0f81d9fb5c4f8c13e5bdf8b` diff --git a/ko/built-in-nodes/SetUnionControlNetType.mdx b/ko/built-in-nodes/SetUnionControlNetType.mdx new file mode 100644 index 000000000..c0599eff0 --- /dev/null +++ b/ko/built-in-nodes/SetUnionControlNetType.mdx @@ -0,0 +1,26 @@ +--- +title: "SetUnionControlNetType - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SetUnionControlNetType node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SetUnionControlNetType" +icon: "circle" +mode: wide +--- +SetUnionControlNetType 노드는 컨디셔닝에 사용할 제어 네트워크 유형을 지정할 수 있도록 합니다. 기존 제어 네트워크를 가져와 선택한 유형을 설정하고, 지정된 유형 구성이 적용된 수정된 복사본을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `컨트롤넷` | 새 유형 설정으로 수정할 제어 네트워크입니다 | CONTROL_NET | 예 | - | +| `유형` | 적용할 제어 네트워크 유형입니다. 자동 유형 감지를 위해 "auto"를 사용하거나 사용 가능한 옵션에서 특정 제어 네트워크 유형을 선택합니다 | STRING | 예 | `"auto"`
사용 가능한 모든 UNION_CONTROLNET_TYPES 키 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `컨트롤넷` | 지정된 유형 설정이 적용된 수정된 제어 네트워크입니다 | CONTROL_NET | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetUnionControlNetType/ko.md) + +--- +**Source fingerprint (SHA-256):** `a64308aec96784f08b6f3f8e96e85f532bd1c536301739e7252b2c7978921b5a` diff --git a/ko/built-in-nodes/ShuffleDataset.mdx b/ko/built-in-nodes/ShuffleDataset.mdx new file mode 100644 index 000000000..ea0d3a439 --- /dev/null +++ b/ko/built-in-nodes/ShuffleDataset.mdx @@ -0,0 +1,28 @@ +--- +title: "ShuffleDataset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ShuffleDataset node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ShuffleDataset" +icon: "circle" +mode: wide +--- +# Shuffle Dataset 노드 + +Shuffle Dataset 노드는 이미지 목록을 받아 무작위로 순서를 변경합니다. 시드(seed) 값을 사용하여 무작위성을 제어하므로 동일한 셔플 순서를 재현할 수 있습니다. 이는 데이터셋을 처리하기 전에 이미지 순서를 무작위화하는 데 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `images` | 셔플할 이미지 목록입니다. | IMAGE | 예 | - | +| `seed` | 무작위 시드입니다. 값이 0이면 실행할 때마다 다른 셔플 결과가 생성됩니다. (기본값: 0) | INT | 아니요 | 0 ~ 18446744073709551615 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `images` | 동일한 이미지 목록이지만 새로운 무작위 순서로 정렬된 결과입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleDataset/ko.md) + +--- +**Source fingerprint (SHA-256):** `0b8442029995bdcedf1df0cb8d27d87aa529fb1021d911ed3016a6a7e788b246` diff --git a/ko/built-in-nodes/ShuffleImageTextDataset.mdx b/ko/built-in-nodes/ShuffleImageTextDataset.mdx new file mode 100644 index 000000000..b14a0ac14 --- /dev/null +++ b/ko/built-in-nodes/ShuffleImageTextDataset.mdx @@ -0,0 +1,30 @@ +--- +title: "ShuffleImageTextDataset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ShuffleImageTextDataset node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ShuffleImageTextDataset" +icon: "circle" +mode: wide +--- +이 노드는 이미지 목록과 텍스트 목록을 함께 섞어서 각각의 쌍을 유지합니다. 무작위 시드를 사용하여 섞기 순서를 결정하므로, 동일한 입력 목록은 시드가 재사용될 때마다 동일한 방식으로 섞입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `images` | 섞을 이미지 목록입니다. | IMAGE | 예 | - | +| `texts` | 섞을 텍스트 목록입니다. | STRING | 예 | - | +| `seed` | 무작위 시드입니다. 섞기 순서는 이 값에 의해 결정됩니다 (기본값: 0). | INT | 아니요 | 0 ~ 18446744073709551615 | + +**참고:** `images` 및 `texts` 입력은 동일한 길이의 목록이어야 합니다. 노드는 첫 번째 이미지와 첫 번째 텍스트, 두 번째 이미지와 두 번째 텍스트를 순서대로 쌍으로 묶은 후, 이 쌍들을 함께 섞습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `texts` | 섞인 이미지 목록입니다. | IMAGE | +| `texts` | 섞인 텍스트 목록으로, 이미지와의 원래 쌍을 유지합니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleImageTextDataset/ko.md) + +--- +**Source fingerprint (SHA-256):** `c87cef780c98b1cf2a58a7d5faf4399c85edd647a9fdba693d008152e43d9c99` diff --git a/ko/built-in-nodes/SkipLayerGuidanceDiT.mdx b/ko/built-in-nodes/SkipLayerGuidanceDiT.mdx new file mode 100644 index 000000000..e84d52615 --- /dev/null +++ b/ko/built-in-nodes/SkipLayerGuidanceDiT.mdx @@ -0,0 +1,35 @@ +--- +title: "SkipLayerGuidanceDiT - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SkipLayerGuidanceDiT node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SkipLayerGuidanceDiT" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/en.md) + +레이어를 건너뛴 또 다른 CFG 네거티브 세트를 사용하여 세부 구조에 대한 가이던스를 향상시킵니다. 이 일반화된 버전의 SkipLayerGuidance는 모든 DiT 모델에 사용할 수 있으며, Perturbed Attention Guidance에서 영감을 받았습니다. 원래 실험적 구현은 SD3를 위해 만들어졌습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 레이어 건너뛰기 가이던스를 적용할 모델 | MODEL | 예 | - | +| `double_layers` | 건너뛸 이중 블록의 레이어 번호를 쉼표로 구분한 목록 (기본값: "7, 8, 9") | STRING | 예 | - | +| `single_layers` | 건너뛸 단일 블록의 레이어 번호를 쉼표로 구분한 목록 (기본값: "7, 8, 9") | STRING | 예 | - | +| `크기` | 가이던스 스케일 계수 (기본값: 3.0) | FLOAT | 예 | 0.0 - 10.0 | +| `시작 퍼센트` | 가이던스 적용 시작 비율 (기본값: 0.01) | FLOAT | 예 | 0.0 - 1.0 | +| `종료 퍼센트` | 가이던스 적용 종료 비율 (기본값: 0.15) | FLOAT | 예 | 0.0 - 1.0 | +| `리스케일 크기` | 출력 크기를 조정하기 위한 재조정 스케일 계수 (기본값: 0.0, 재조정 없음을 의미) | FLOAT | 예 | 0.0 - 10.0 | + +**참고:** `double_layers`와 `single_layers`가 모두 비어 있는 경우(레이어 번호가 없는 경우), 노드는 가이던스를 적용하지 않고 원본 모델을 반환합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 레이어 건너뛰기 가이던스가 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/ko.md) + +--- +**Source fingerprint (SHA-256):** `cf494fbeb33e7bc3b3f798e9e9b025623afad4ea6340ef628caa776c7d42ba12` diff --git a/ko/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx b/ko/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx new file mode 100644 index 000000000..6b771d496 --- /dev/null +++ b/ko/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx @@ -0,0 +1,33 @@ +--- +title: "SkipLayerGuidanceDiTSimple - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SkipLayerGuidanceDiTSimple node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SkipLayerGuidanceDiTSimple" +icon: "circle" +mode: wide +--- +## 개요 + +SkipLayerGuidanceDiT 노드의 간소화된 버전으로, 노이즈 제거 과정 중 무조건부 패스(unconditional pass)만 수정합니다. 이 노드는 지정된 타이밍과 레이어 매개변수에 따라 무조건부 패스 중 특정 트랜스포머 레이어를 선택적으로 건너뛰어 DiT(Diffusion Transformer) 모델에 스킵 레이어 가이던스를 적용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 스킵 레이어 가이던스를 적용할 모델 | MODEL | 예 | - | +| `이중 레이어` | 건너뛸 더블 블록 레이어 인덱스의 쉼표로 구분된 목록 (기본값: "7, 8, 9") | STRING | 아니요 | - | +| `단일 레이어` | 건너뛸 싱글 블록 레이어 인덱스의 쉼표로 구분된 목록 (기본값: "7, 8, 9") | STRING | 아니요 | - | +| `시작 백분율` | 스킵 레이어 가이던스가 시작되는 노이즈 제거 과정의 시작 백분율 (기본값: 0.0) | FLOAT | 아니요 | 0.0 - 1.0 | +| `종료 백분율` | 스킵 레이어 가이던스가 중단되는 노이즈 제거 과정의 종료 백분율 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 1.0 | + +**참고:** 스킵 레이어 가이던스는 `double_layers`와 `single_layers`에 모두 유효한 레이어 인덱스가 포함된 경우에만 적용됩니다. 두 값이 모두 비어 있으면 노드는 원본 모델을 변경 없이 반환합니다. 스킵 레이어 가이던스는 현재 노이즈 제거 단계의 시그마 값이 `start_percent`와 `end_percent` 사이에 있을 때만 활성화됩니다(내부적으로 시그마 값으로 변환됨). + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 지정된 레이어에 스킵 레이어 가이던스가 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiTSimple/ko.md) + +--- +**Source fingerprint (SHA-256):** `6795a67a63d9aa8b2adea3d96e49272d88c21d0642bb507e175a2fcf3a125f98` diff --git a/ko/built-in-nodes/SkipLayerGuidanceSD3.mdx b/ko/built-in-nodes/SkipLayerGuidanceSD3.mdx new file mode 100644 index 000000000..0e49f501f --- /dev/null +++ b/ko/built-in-nodes/SkipLayerGuidanceSD3.mdx @@ -0,0 +1,29 @@ +--- +title: "SkipLayerGuidanceSD3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SkipLayerGuidanceSD3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SkipLayerGuidanceSD3" +icon: "circle" +mode: wide +--- +SkipLayerGuidanceSD3 노드는 건너뛴 레이어를 사용하여 추가적인 분류기-프리 가이던스를 적용함으로써 세부 구조를 향상시키는 방향으로 가이던스를 강화합니다. 이 실험적 구현은 Perturbed Attention Guidance에서 영감을 받았으며, 부정적 조건화 과정에서 특정 레이어를 선택적으로 우회하여 생성 결과물의 구조적 세부 사항을 개선하는 방식으로 작동합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 건너뛴 레이어 가이던스를 적용할 모델 | MODEL | 예 | - | +| `layers` | 건너뛸 레이어 인덱스의 쉼표로 구분된 목록 (기본값: "7, 8, 9") | STRING | 예 | - | +| `크기` | 건너뛴 레이어 가이던스 효과의 강도 (기본값: 3.0) | FLOAT | 예 | 0.0 - 10.0 | +| `시작 퍼센트` | 전체 단계 대비 가이던스 적용 시작 지점의 백분율 (기본값: 0.01) | FLOAT | 예 | 0.0 - 1.0 | +| `종료 퍼센트` | 전체 단계 대비 가이던스 적용 종료 지점의 백분율 (기본값: 0.15) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 건너뛴 레이어 가이던스가 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceSD3/ko.md) + +--- +**Source fingerprint (SHA-256):** `97c8220abd223bd35b4d0274c2b4536ffb6be7954ccd917943905bd22f60c1a5` diff --git a/ko/built-in-nodes/SolidMask.mdx b/ko/built-in-nodes/SolidMask.mdx new file mode 100644 index 000000000..322a91877 --- /dev/null +++ b/ko/built-in-nodes/SolidMask.mdx @@ -0,0 +1,24 @@ +--- +title: "SolidMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SolidMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SolidMask" +icon: "circle" +mode: wide +--- +SolidMask 노드는 전체 영역에 걸쳐 지정된 값을 가진 균일한 마스크를 생성합니다. 특정 크기와 강도의 마스크를 만들기 위해 설계되었으며, 다양한 이미지 처리 및 마스킹 작업에 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `값` | 마스크의 강도 값을 지정하며, 이후 작업에서 마스크의 전반적인 모양과 유용성에 영향을 줍니다. | FLOAT | +| `너비` | 생성된 마스크의 너비를 결정하며, 크기와 종횡비에 직접적인 영향을 줍니다. | INT | +| `높이` | 생성된 마스크의 높이를 설정하며, 크기와 종횡비에 영향을 줍니다. | INT | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `mask` | 지정된 크기와 값을 가진 균일한 마스크를 출력합니다. | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SolidMask/ko.md) diff --git a/ko/built-in-nodes/SoniloTextToMusic.mdx b/ko/built-in-nodes/SoniloTextToMusic.mdx new file mode 100644 index 000000000..147a2cff3 --- /dev/null +++ b/ko/built-in-nodes/SoniloTextToMusic.mdx @@ -0,0 +1,31 @@ +--- +title: "SoniloTextToMusic - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SoniloTextToMusic node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SoniloTextToMusic" +icon: "circle" +mode: wide +--- +# Sonilo 텍스트-음악 변환 노드 + +Sonilo 텍스트-음악 변환 노드는 Sonilo의 AI 모델을 사용하여 텍스트 설명으로부터 음악을 생성합니다. 원하는 음악을 설명하는 프롬프트를 제공하면, 노드가 Sonilo 서비스에 요청을 보내 오디오 파일을 생성합니다. 대상 재생 시간을 지정하거나 프롬프트를 기반으로 모델이 자동으로 추정하도록 할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `prompt` | 생성할 음악을 설명하는 텍스트 프롬프트입니다. 필수 입력 항목입니다. | STRING | 예 | 해당 없음 | +| `duration` | 대상 재생 시간(초)입니다. 0으로 설정하면 프롬프트를 기반으로 모델이 재생 시간을 추정합니다. 최대: 6분(360초). 기본값: 0. | INT | 아니요 | 0 ~ 360 | +| `seed` | 재현성을 위한 시드 값입니다. 현재 Sonilo 서비스에서는 무시되지만 그래프 일관성을 위해 유지됩니다. 기본값: 0. | INT | 아니요 | 0 ~ 18446744073709551615 | + +**참고:** `seed` 입력은 워크플로 일관성을 위해 제공되지만, 현재 Sonilo 서비스의 출력에는 영향을 미치지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `audio` | 생성된 음악 오디오 파일입니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloTextToMusic/ko.md) + +--- +**Source fingerprint (SHA-256):** `aac2762d9310179279ed7dcc9766f38342400902de2f8791b78d8092a96b86b4` diff --git a/ko/built-in-nodes/SoniloVideoToMusic.mdx b/ko/built-in-nodes/SoniloVideoToMusic.mdx new file mode 100644 index 000000000..49b1d8afe --- /dev/null +++ b/ko/built-in-nodes/SoniloVideoToMusic.mdx @@ -0,0 +1,31 @@ +--- +title: "SoniloVideoToMusic - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SoniloVideoToMusic node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SoniloVideoToMusic" +icon: "circle" +mode: wide +--- +다음은 ComfyUI 노드 문서의 한국어 번역입니다. + +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloVideoToMusic/en.md) + +Sonilo의 AI 모델을 사용하여 비디오에서 음악을 생성합니다. 이 노드는 입력 비디오의 내용을 분석하고 이에 맞는 음악을 만듭니다. 외부 AI 서비스를 사용하여 비디오를 처리하고 오디오를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `video` | 음악을 생성할 입력 비디오입니다. 최대 길이는 6분입니다. | VIDEO | 예 | - | +| `prompt` | 음악 생성을 안내하는 선택적 텍스트 프롬프트입니다. 최상의 품질을 위해 비워 두십시오. 모델이 비디오 내용을 완전히 분석합니다. (기본값: 빈 문자열) | STRING | 아니요 | - | +| `seed` | 재현성을 위한 시드입니다. 현재 Sonilo 서비스에서 무시되지만 그래프 일관성을 위해 유지됩니다. (기본값: 0) | INT | 아니요 | 0 ~ 18446744073709551615 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `audio` | 생성된 음악을 오디오 파일로 출력합니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloVideoToMusic/ko.md) + +--- +**Source fingerprint (SHA-256):** `542fff1d8db8e48156bf9d1ff4690c91a7d71676332eef4708a6d36686abb31e` diff --git a/ko/built-in-nodes/SplatToFile3D.mdx b/ko/built-in-nodes/SplatToFile3D.mdx new file mode 100644 index 000000000..cc4a8ecaf --- /dev/null +++ b/ko/built-in-nodes/SplatToFile3D.mdx @@ -0,0 +1,30 @@ +--- +title: "SplatToFile3D - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplatToFile3D node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplatToFile3D" +icon: "circle" +mode: wide +--- +# SplatToFile3D 노드 문서 + +## 개요 + +SplatToFile3D 노드는 가우시안 스플랫을 File3D 객체로 변환하여 저장 또는 미리보기 3D 노드와 함께 사용할 수 있도록 합니다. 한 번에 하나의 항목만 처리할 수 있으며, 내보낸 3D 데이터에 대해 다양한 출력 파일 형식을 선택할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `splat` | 파일로 직렬화할 가우시안 스플랫 데이터 | SPLAT | 예 | - | +| `format` | 3D 파일의 출력 형식입니다. ply: 완전한 구면 조화 함수를 포함한 표준 3D 가우시안 스플랫. ksplat: mkkellogg SplatBuffer(레벨 0, 압축되지 않음), 기본 색상만 포함. spz: Niantic gzip 압축(약 10배 작음), 기본 색상만 포함(기본값: "ply") | COMBO | 예 | `"ply"`
`"ksplat"`
`"spz"` | + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +|-------------|-------------|-----------| +| `model_3d` | 선택한 형식으로 직렬화된 가우시안 스플랫 데이터를 포함하는 File3D 객체로, 저장 또는 미리보기에 사용할 수 있습니다 | FILE3D | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplatToFile3D/ko.md) + +--- +**Source fingerprint (SHA-256):** `c04fe04faa8ce81ad699e67c00d047550b0cadbfd037b687331f76944501a9f6` diff --git a/ko/built-in-nodes/SplatToMesh.mdx b/ko/built-in-nodes/SplatToMesh.mdx new file mode 100644 index 000000000..e38fae00b --- /dev/null +++ b/ko/built-in-nodes/SplatToMesh.mdx @@ -0,0 +1,34 @@ +--- +title: "SplatToMesh - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplatToMesh node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplatToMesh" +icon: "circle" +mode: wide +--- +# Splat에서 메시 추출 + +이 노드는 3D 가우시안 스플랫을 색상이 있는 메시 표면으로 변환합니다. 가우시안을 밀도 그리드에 래스터화하고, 선택한 밀도 수준에서 등위면을 추출한 후, 선택적으로 평활화 및 정리 과정을 적용하여 깨끗하고 색상이 있는 삼각형 메시를 생성하는 방식으로 작동합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `splat` | 메시로 변환할 입력 가우시안 스플랫 | SPLAT | 예 | - | +| `해상도` | 가장 긴 축을 기준으로 한 밀도 그리드 해상도입니다. 값이 높을수록 더 세밀한 표면 디테일을 얻을 수 있지만, 더 많은 VRAM과 처리 시간이 필요합니다(해상도^3에 비례하여 증가). 기본값: 384 | INT | 예 | 64 - 768 (단계 16) | +| `커널` | 복셀 단위의 최대 스플랫 반폭입니다. 각 가우시안은 자체 3-시그마 크기에 맞춰 조정된 윈도우 크기로 래스터화되며, 이 값으로 상한이 제한됩니다. 작은 서펠은 효율적으로 유지되면서 큰 서펠이 잘리지 않습니다. 드문드문 있는 스플랫에 빈 공간이 생기는 경우 값을 높이십시오. 기본값: 5 | INT | 예 | 1 - 8 | +| `스무스` | Taubin 메시 평활화 반복 횟수입니다. 밀도를 흐리게 하는 것과 달리 표면을 수축시키지 않으면서(부피 보존) 평활화합니다. 0은 평활화를 수행하지 않습니다. 기본값: 0 | INT | 예 | 0 - 60 | +| `레벨` | 등위면 수준입니다. Otsu 임계값 처리에 의해 자동 선택됩니다. 이 값은 자동 선택에 편향을 줍니다(1.0 = 자동, 낮은 값은 더 두껍고/연결성이 높은 표면을, 높은 값은 더 얇고/조밀한 표면을 생성합니다). 기본값: 0.4 | FLOAT | 예 | 0.0 - 2.0 (단계 0.01) | +| `최소 컴포넌트` | 이 값보다 적은 수의 정점을 가진 연결된 구성 요소를 제거합니다. 분리된 부유 블롭과 이중 벽의 내부 껍질을 제거합니다. 0은 모든 구성 요소를 유지합니다. 기본값: 500 | INT | 예 | 0 - 100000 (단계 50) | +| `최소 불투명도` | 메싱 전에 이 값보다 희미한 가우시안을 무시합니다. 기본값: 0.02 | FLOAT | 예 | 0.0 - 1.0 (단계 0.01) | +| `컬러 샤프닝` | 정점 텍스처를 선명하게 합니다. 1.0은 물리적으로 정확한 혼합을 제공합니다. 더 높은 값은 각 복셀의 색상을 주변을 평균화하는 대신 지배적인 가우시안 쪽으로 편향시킵니다(텍스처의 번짐을 제거). 기하학에는 영향을 미치지 않고 색상에만 영향을 줍니다. 기본값: 2.0 | FLOAT | 예 | 1.0 - 8.0 (단계 0.5) | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `mesh` | 스플랫 외관과 일치하도록 비조명 렌더링(방사형 유사)이 적용된 추출된 색상 메시 | MESH | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplatToMesh/ko.md) + +--- +**Source fingerprint (SHA-256):** `5a7060c26252b587ce533e5682abe880a6fcc83f6671232489c3de64b094cd84` diff --git a/ko/built-in-nodes/SplitAudioChannels.mdx b/ko/built-in-nodes/SplitAudioChannels.mdx new file mode 100644 index 000000000..d0be8bb21 --- /dev/null +++ b/ko/built-in-nodes/SplitAudioChannels.mdx @@ -0,0 +1,28 @@ +--- +title: "SplitAudioChannels - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplitAudioChannels node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplitAudioChannels" +icon: "circle" +mode: wide +--- +SplitAudioChannels 노드는 스테레오 오디오를 개별 좌측 및 우측 채널로 분리합니다. 두 개의 채널로 구성된 스테레오 오디오 입력을 받아 각각 좌측 채널과 우측 채널에 해당하는 두 개의 개별 오디오 스트림을 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `오디오` | 채널로 분리할 스테레오 오디오 입력 | AUDIO | 예 | - | + +**참고:** 입력 오디오는 정확히 두 개의 채널(스테레오)이어야 합니다. 입력 오디오에 채널이 하나만 있는 경우 노드에서 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `오른쪽` | 분리된 좌측 채널 오디오 | AUDIO | +| `right` | 분리된 우측 채널 오디오 | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitAudioChannels/ko.md) + +--- +**Source fingerprint (SHA-256):** `48f329f3eb9749e75eda1038c43caf42ee63d8a1fa66ab29ad3d34b5d136e323` diff --git a/ko/built-in-nodes/SplitImageToTileList.mdx b/ko/built-in-nodes/SplitImageToTileList.mdx new file mode 100644 index 000000000..742083f7c --- /dev/null +++ b/ko/built-in-nodes/SplitImageToTileList.mdx @@ -0,0 +1,30 @@ +--- +title: "SplitImageToTileList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplitImageToTileList node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplitImageToTileList" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageToTileList/en.md) + +Split Image into List of Tiles 노드는 단일 입력 이미지를 타일이라고 하는 더 작은 겹치는 직사각형 영역의 시리즈로 분할합니다. 이러한 타일들을 배치 목록으로 생성하여 다른 노드에서 개별적으로 처리할 수 있도록 합니다. 각 타일의 크기와 타일 간의 겹침 정도를 지정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 타일로 분할할 입력 이미지입니다. | IMAGE | 예 | - | +| `tile_width` | 각 출력 타일의 너비(픽셀 단위, 기본값: 1024)입니다. | INT | 예 | 64 ~ 1048576 | +| `tile_height` | 각 출력 타일의 높이(픽셀 단위, 기본값: 1024)입니다. | INT | 예 | 64 ~ 1048576 | +| `overlap` | 인접한 타일이 겹칠 픽셀 수(기본값: 128)입니다. | INT | 예 | 0 ~ 4096 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 모든 개별 이미지 타일을 포함하는 배치 목록입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageToTileList/ko.md) + +--- +**Source fingerprint (SHA-256):** `26991a325b7b9358cd7338348e93c57695b1ed1aa1983962794f889c94c34547` diff --git a/ko/built-in-nodes/SplitImageWithAlpha.mdx b/ko/built-in-nodes/SplitImageWithAlpha.mdx new file mode 100644 index 000000000..5af055790 --- /dev/null +++ b/ko/built-in-nodes/SplitImageWithAlpha.mdx @@ -0,0 +1,23 @@ +--- +title: "SplitImageWithAlpha - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplitImageWithAlpha node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplitImageWithAlpha" +icon: "circle" +mode: wide +--- +`SplitImageWithAlpha` 노드는 이미지의 색상 구성 요소와 알파 구성 요소를 분리하도록 설계되었습니다. 입력 이미지 텐서를 처리하여 RGB 채널을 색상 구성 요소로, 알파 채널을 투명도 구성 요소로 추출함으로써, 이러한 개별 이미지 측면을 조작해야 하는 작업을 용이하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 'image' 매개변수는 RGB 채널과 알파 채널을 분리할 입력 이미지 텐서를 나타냅니다. 분할을 위한 원본 데이터를 제공하므로 작업에 매우 중요합니다. | `IMAGE` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 'image' 출력은 입력 이미지에서 분리된 RGB 채널을 나타내며, 투명도 정보 없이 색상 구성 요소를 제공합니다. | `IMAGE` | +| `mask` | 'mask' 출력은 입력 이미지에서 분리된 알파 채널을 나타내며, 투명도 정보를 제공합니다. | `MASK` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageWithAlpha/ko.md) diff --git a/ko/built-in-nodes/SplitSigmas.mdx b/ko/built-in-nodes/SplitSigmas.mdx new file mode 100644 index 000000000..e1c722c53 --- /dev/null +++ b/ko/built-in-nodes/SplitSigmas.mdx @@ -0,0 +1,23 @@ +--- +title: "SplitSigmas - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplitSigmas node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplitSigmas" +icon: "circle" +mode: wide +--- +SplitSigmas 노드는 시그마 값 시퀀스를 지정된 단계에 따라 두 부분으로 분할하도록 설계되었습니다. 이 기능은 시그마 시퀀스의 초기 부분과 후속 부분에 대해 서로 다른 처리나 가공이 필요한 작업에 필수적이며, 이러한 값들을 보다 유연하고 목적에 맞게 조작할 수 있게 해줍니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `시그마 배열` | 'sigmas' 매개변수는 분할할 시그마 값의 시퀀스를 나타냅니다. 분할 지점과 결과로 생성되는 두 개의 시그마 값 시퀀스를 결정하는 데 필수적이며, 노드의 실행과 결과에 영향을 미칩니다. | `SIGMAS` | +| `분할 스텝` | 'step' 매개변수는 시그마 시퀀스를 분할할 인덱스를 지정합니다. 두 결과 시그마 시퀀스 간의 경계를 정의하는 중요한 역할을 하며, 노드의 기능과 출력 특성에 영향을 줍니다. | `INT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `로우 시그마` | 노드는 두 개의 시그마 값 시퀀스를 출력하며, 각각은 지정된 단계에서 분할된 원본 시퀀스의 일부를 나타냅니다. 이러한 출력은 시그마 값에 대해 차별화된 처리가 필요한 후속 작업에 중요합니다. | `SIGMAS` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmas/ko.md) diff --git a/ko/built-in-nodes/SplitSigmasDenoise.mdx b/ko/built-in-nodes/SplitSigmasDenoise.mdx new file mode 100644 index 000000000..507c9d42f --- /dev/null +++ b/ko/built-in-nodes/SplitSigmasDenoise.mdx @@ -0,0 +1,27 @@ +--- +title: "SplitSigmasDenoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplitSigmasDenoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplitSigmasDenoise" +icon: "circle" +mode: wide +--- +SplitSigmasDenoise 노드는 디노이징 강도 매개변수를 기준으로 시그마 값 시퀀스를 두 부분으로 분할합니다. 입력 시그마를 높은 시그마 시퀀스와 낮은 시그마 시퀀스로 나누며, 분할 지점은 전체 단계 수에 디노이즈 계수를 곱하여 결정됩니다. 이를 통해 노이즈 스케줄을 서로 다른 강도 범위로 분리하여 특수 처리를 수행할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `시그마 배열` | 노이즈 스케줄을 나타내는 시그마 값의 입력 시퀀스 | SIGMAS | 예 | - | +| `노이즈 제거양` | 시그마 시퀀스를 분할할 위치를 결정하는 디노이징 강도 계수 (기본값: 1.0) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `로우 시그마` | 더 높은 시그마 값을 포함하는 시그마 시퀀스의 첫 번째 부분 | SIGMAS | +| `low_sigmas` | 더 낮은 시그마 값을 포함하는 시그마 시퀀스의 두 번째 부분 | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmasDenoise/ko.md) + +--- +**Source fingerprint (SHA-256):** `fda53efe2fcaed9244376b7360d8b0b76ce7395d594de4c2ecc48a8f243d7ca6` diff --git a/ko/built-in-nodes/StabilityAudioInpaint.mdx b/ko/built-in-nodes/StabilityAudioInpaint.mdx new file mode 100644 index 000000000..6ae91e79f --- /dev/null +++ b/ko/built-in-nodes/StabilityAudioInpaint.mdx @@ -0,0 +1,36 @@ +--- +title: "StabilityAudioInpaint - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityAudioInpaint node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StabilityAudioInpaint" +icon: "circle" +mode: wide +--- +# 개요 + +텍스트 명령어를 사용하여 기존 오디오 샘플의 일부를 변환합니다. 이 노드를 사용하면 설명 프롬프트를 제공하여 오디오의 특정 구간을 수정할 수 있으며, 나머지 부분은 유지하면서 선택한 부분을 효과적으로 "인페인팅"하거나 재생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 오디오 인페인팅에 사용할 AI 모델입니다. | COMBO | 예 | "stable-audio-2.5" | +| `프롬프트` | 오디오 변환 방향을 안내하는 텍스트 설명입니다 (기본값: 비어 있음). | STRING | 예 | | +| `오디오` | 변환할 입력 오디오 파일입니다. 오디오 길이는 6초에서 190초 사이여야 합니다. | AUDIO | 예 | | +| `지속 시간` | 생성되는 오디오의 길이를 초 단위로 제어합니다 (기본값: 190). | INT | 아니요 | 1-190 | +| `시드` | 생성에 사용되는 무작위 시드입니다 (기본값: 0). | INT | 아니요 | 0-4294967294 | +| `단계 수` | 샘플링 단계 수를 제어합니다 (기본값: 8). | INT | 아니요 | 4-8 | +| `마스크 시작` | 변환할 오디오 구간의 시작 위치를 초 단위로 지정합니다 (기본값: 30). | INT | 아니요 | 0-190 | +| `마스크 종료` | 변환할 오디오 구간의 종료 위치를 초 단위로 지정합니다 (기본값: 190). | INT | 아니요 | 0-190 | + +**참고:** `mask_end` 값은 `mask_start` 값보다 커야 합니다. 입력 오디오의 길이는 6초에서 190초 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `오디오` | 프롬프트에 따라 지정된 구간이 수정된 변환된 오디오 출력입니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioInpaint/ko.md) + +--- +**Source fingerprint (SHA-256):** `6589fdbff8387e403055c711a61bb3000d87e5f8cd3753d6e665b723be6f43e2` diff --git a/ko/built-in-nodes/StabilityAudioToAudio.mdx b/ko/built-in-nodes/StabilityAudioToAudio.mdx new file mode 100644 index 000000000..5557d795e --- /dev/null +++ b/ko/built-in-nodes/StabilityAudioToAudio.mdx @@ -0,0 +1,35 @@ +--- +title: "StabilityAudioToAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityAudioToAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StabilityAudioToAudio" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md) + +텍스트 명령어를 사용하여 기존 오디오 샘플을 새로운 고품질 작품으로 변환합니다. 이 노드는 입력 오디오 파일을 받아 텍스트 프롬프트를 기반으로 수정하여 새로운 오디오 콘텐츠를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 오디오 변환에 사용할 AI 모델 | COMBO | 예 | "stable-audio-2.5"
| +| `프롬프트` | 오디오를 어떻게 변환할지 설명하는 텍스트 명령어 (기본값: 비어 있음) | STRING | 예 | | +| `오디오` | 오디오 길이는 6초에서 190초 사이여야 합니다 | AUDIO | 예 | | +| `지속 시간` | 생성된 오디오의 길이(초)를 제어합니다 (기본값: 190) | INT | 아니요 | 1-190 | +| `시드` | 생성에 사용되는 무작위 시드 (기본값: 0) | INT | 아니요 | 0-4294967294 | +| `단계 수` | 샘플링 단계 수를 제어합니다 (기본값: 8) | INT | 아니요 | 4-8 | +| `강도` | 오디오 매개변수가 생성된 오디오에 미치는 영향을 제어하는 매개변수 (기본값: 1.0) | FLOAT | 아니요 | 0.01-1.0 | + +**참고:** 입력 오디오의 길이는 6초에서 190초 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `오디오` | 입력 오디오와 텍스트 프롬프트를 기반으로 생성된 변환된 오디오 | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioToAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `d63ee2585be1ec1a21da72656ecea37f051a56595b15637013e515eb298fc4dc` diff --git a/ko/built-in-nodes/StabilityStableImageSD_3_5Node.mdx b/ko/built-in-nodes/StabilityStableImageSD_3_5Node.mdx new file mode 100644 index 000000000..847568673 --- /dev/null +++ b/ko/built-in-nodes/StabilityStableImageSD_3_5Node.mdx @@ -0,0 +1,37 @@ +--- +title: "StabilityStableImageSD_3_5Node - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityStableImageSD_3_5Node node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StabilityStableImageSD_3_5Node" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md) + +이 노드는 Stability AI의 Stable Diffusion 3.5 모델을 사용하여 이미지를 동기식으로 생성합니다. 텍스트 프롬프트를 기반으로 이미지를 만들며, 입력으로 제공될 경우 기존 이미지를 수정할 수도 있습니다. 이 노드는 출력을 사용자 지정하기 위해 다양한 종횡비와 스타일 프리셋을 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 출력 이미지에서 보고 싶은 내용입니다. 요소, 색상 및 대상을 명확히 정의하는 강력하고 설명적인 프롬프트일수록 더 나은 결과를 얻을 수 있습니다. (기본값: 빈 문자열) | STRING | 예 | - | +| `모델` | 생성에 사용할 Stable Diffusion 3.5 모델입니다. | COMBO | 예 | `sd3.5-large`
`sd3.5-large-turbo`
`sd3.5-medium` | +| `종횡비` | 생성된 이미지의 종횡비입니다. (기본값: 1:1) | COMBO | 예 | `16:9`
`1:1`
`21:9`
`2:3`
`3:2`
`4:5`
`5:4`
`9:16`
`9:21` | +| `스타일 프리셋` | 생성된 이미지의 원하는 스타일입니다(선택 사항). 스타일 프리셋을 사용하지 않으려면 "None"을 선택하십시오. | COMBO | 아니요 | `3d-model`
`analog-film`
`anime`
`cinematic`
`comic-book`
`digital-art`
`enhance`
`fantasy-art`
`isometric`
`line-art`
`low-poly`
`modeling-compound`
`neon-punk`
`origami`
`photographic`
`pixel-art`
`tile-texture`
`None` | +| `cfg 스케일` | 확산 과정이 프롬프트 텍스트를 얼마나 엄격하게 따르는지 결정합니다(값이 높을수록 이미지가 프롬프트에 더 가깝게 유지됩니다). (기본값: 4.0) | FLOAT | 예 | 1.0 ~ 10.0 | +| `시드` | 노이즈 생성에 사용되는 무작위 시드입니다. (기본값: 0) | INT | 예 | 0 ~ 4294967294 | +| `이미지` | 이미지-이미지 생성을 위한 선택적 입력 이미지입니다. 제공되면 노드가 이미지-이미지 모드로 전환되며 `종횡비` 매개변수는 무시됩니다. | IMAGE | 아니요 | - | +| `부정 프롬프트` | 출력 이미지에서 보고 싶지 않은 내용의 키워드입니다. 고급 기능입니다. (기본값: 빈 문자열) | STRING | 아니요 | - | +| `노이즈 제거양` | 입력 이미지의 노이즈 제거 강도입니다. 0.0은 입력 이미지와 동일한 결과를, 1.0은 이미지가 전혀 제공되지 않은 것과 같은 결과를 생성합니다. (기본값: 0.5) 이 매개변수는 `이미지`가 제공된 경우에만 사용됩니다. | FLOAT | 아니요 | 0.0 ~ 1.0 | + +**참고:** `image`가 제공되면 노드가 이미지-이미지 생성 모드로 전환되며 `aspect_ratio` 매개변수는 입력 이미지에서 자동으로 결정됩니다. `image`가 제공되지 않으면 `image_denoise` 매개변수는 무시됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 생성되거나 수정된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/ko.md) + +--- +**Source fingerprint (SHA-256):** `80dbb27f19bb3286ee988f020f7f65623a73d7cac77ca0cdfc7a428254102aa3` diff --git a/ko/built-in-nodes/StabilityStableImageUltraNode.mdx b/ko/built-in-nodes/StabilityStableImageUltraNode.mdx new file mode 100644 index 000000000..5ef269c2d --- /dev/null +++ b/ko/built-in-nodes/StabilityStableImageUltraNode.mdx @@ -0,0 +1,35 @@ +--- +title: "StabilityStableImageUltraNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityStableImageUltraNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StabilityStableImageUltraNode" +icon: "circle" +mode: wide +--- +# Stability Stable Image Ultra 노드 + +프롬프트와 해상도를 기반으로 이미지를 동기식으로 생성합니다. 이 노드는 Stability AI의 Stable Image Ultra 모델을 사용하여 텍스트 프롬프트를 처리하고 지정된 종횡비와 스타일로 해당 이미지를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 출력 이미지에서 보고 싶은 내용을 입력합니다. 요소, 색상, 주제를 명확히 정의하는 강력하고 설명적인 프롬프트일수록 더 나은 결과를 얻을 수 있습니다. 특정 단어의 가중치를 제어하려면 `(단어:가중치)` 형식을 사용하세요. 여기서 `단어`는 가중치를 제어하려는 단어이고, `가중치`는 0과 1 사이의 값입니다. 예: `하늘은 선명한 (파란색:0.3)과 (초록색:0.8)`은 파란색과 초록색이 섞인 하늘이지만 초록색이 더 강조된 것을 의미합니다. | STRING | 예 | - | +| `종횡비` | 생성된 이미지의 종횡비입니다(기본값: "1:1"). | COMBO | 예 | `"1:1"`
`"16:9"`
`"21:9"`
`"2:3"`
`"3:2"`
`"4:5"`
`"5:4"`
`"9:16"`
`"9:21"` | +| `스타일 프리셋` | 생성된 이미지의 원하는 스타일입니다(선택 사항). 스타일 프리셋을 적용하지 않으려면 "None"을 선택하세요. | COMBO | 아니요 | `"3d-model"`
`"analog-film"`
`"anime"`
`"cinematic"`
`"comic-book"`
`"digital-art"`
`"enhance"`
`"fantasy-art"`
`"isometric"`
`"line-art"`
`"low-poly"`
`"modeling-compound"`
`"neon-punk"`
`"origami"`
`"photographic"`
`"pixel-art"`
`"tile-texture"` | +| `시드` | 노이즈 생성에 사용되는 무작위 시드입니다. | INT | 예 | 0 - 4294967294 | +| `이미지` | 이미지-이미지 생성을 위한 선택적 입력 이미지입니다. | IMAGE | 아니요 | - | +| `부정 프롬프트` | 출력 이미지에서 보고 싶지 않은 내용을 설명하는 텍스트입니다. 고급 기능입니다. | STRING | 아니요 | - | +| `노이즈 제거양` | 입력 이미지의 노이즈 제거 강도입니다. 0.0은 입력 이미지와 동일한 결과를, 1.0은 이미지가 전혀 제공되지 않은 것과 동일한 결과를 생성합니다(기본값: 0.5). | FLOAT | 아니요 | 0.0 - 1.0 | + +**참고:** 입력 이미지가 제공되지 않은 경우 `image_denoise` 매개변수는 자동으로 비활성화되어 무시됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력 매개변수를 기반으로 생성된 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `2fd9e106a3460a39c33ecc9a15ab6414dab1914fdc43e4f546827e02c889cf62` diff --git a/ko/built-in-nodes/StabilityTextToAudio.mdx b/ko/built-in-nodes/StabilityTextToAudio.mdx new file mode 100644 index 000000000..e6fdd1702 --- /dev/null +++ b/ko/built-in-nodes/StabilityTextToAudio.mdx @@ -0,0 +1,31 @@ +--- +title: "StabilityTextToAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityTextToAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StabilityTextToAudio" +icon: "circle" +mode: wide +--- +# 개요 + +텍스트 설명으로부터 고품질의 음악과 음향 효과를 생성합니다. 이 노드는 Stability AI의 오디오 생성 기술을 사용하여 텍스트 프롬프트를 기반으로 오디오 콘텐츠를 만듭니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 사용할 오디오 생성 모델입니다 (기본값: "stable-audio-2.5") | COMBO | 예 | `"stable-audio-2.5"` | +| `프롬프트` | 오디오 콘텐츠를 생성하는 데 사용되는 텍스트 설명입니다 (기본값: 빈 문자열) | STRING | 예 | - | +| `지속 시간` | 생성된 오디오의 길이를 초 단위로 제어합니다 (기본값: 190) | INT | 아니요 | 1-190 | +| `시드` | 생성에 사용되는 무작위 시드입니다 (기본값: 0) | INT | 아니요 | 0-4294967294 | +| `단계` | 샘플링 단계 수를 제어합니다 (기본값: 8) | INT | 아니요 | 4-8 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `audio` | 텍스트 프롬프트를 기반으로 생성된 오디오 파일입니다 | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityTextToAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `5185241ca7a9b4bc38dfa8bafdae63ec3c151a3038a26ffe8e35492c0550fa88` diff --git a/ko/built-in-nodes/StabilityUpscaleConservativeNode.mdx b/ko/built-in-nodes/StabilityUpscaleConservativeNode.mdx new file mode 100644 index 000000000..58edb9c4e --- /dev/null +++ b/ko/built-in-nodes/StabilityUpscaleConservativeNode.mdx @@ -0,0 +1,31 @@ +--- +title: "StabilityUpscaleConservativeNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityUpscaleConservativeNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StabilityUpscaleConservativeNode" +icon: "circle" +mode: wide +--- +# StabilityUpscaleConservativeNode + +원본 이미지를 최소한으로 변경하여 4K 해상도로 업스케일합니다. 이 노드는 Stability AI의 보수적 업스케일링을 사용하여 이미지 해상도를 높이면서 원본 콘텐츠를 보존하고 미묘한 변경만 적용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 업스케일할 입력 이미지 | IMAGE | 예 | - | +| `프롬프트` | 출력 이미지에서 보고 싶은 내용. 요소, 색상 및 대상을 명확히 정의하는 강력하고 설명적인 프롬프트가 더 나은 결과를 이끌어냅니다. (기본값: 빈 문자열) | STRING | 예 | - | +| `창의성` | 초기 이미지에 크게 조건화되지 않은 추가 세부 정보를 생성할 가능성을 제어합니다. (기본값: 0.35) | FLOAT | 예 | 0.2-0.5 | +| `시드` | 노이즈 생성에 사용되는 무작위 시드입니다. (기본값: 0) | INT | 예 | 0-4294967294 | +| `부정 프롬프트` | 출력 이미지에서 보고 싶지 않은 키워드입니다. 고급 기능입니다. (기본값: 빈 문자열) | STRING | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 4K 해상도로 업스케일된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `0a6eed22a37c1019ee97035bba70660b9619b0d65e443111d1d330968ded009a` diff --git a/ko/built-in-nodes/StabilityUpscaleCreativeNode.mdx b/ko/built-in-nodes/StabilityUpscaleCreativeNode.mdx new file mode 100644 index 000000000..a1eed11fb --- /dev/null +++ b/ko/built-in-nodes/StabilityUpscaleCreativeNode.mdx @@ -0,0 +1,32 @@ +--- +title: "StabilityUpscaleCreativeNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityUpscaleCreativeNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StabilityUpscaleCreativeNode" +icon: "circle" +mode: wide +--- +# Stability Upscale Creative 노드 + +원본 이미지를 최소한으로 변경하여 4K 해상도로 업스케일합니다. 이 노드는 Stability AI의 창의적 업스케일링 기술을 사용하여 원본 콘텐츠를 보존하면서 미묘한 창의적 디테일을 추가하여 이미지 해상도를 향상시킵니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 업스케일할 입력 이미지 | IMAGE | 예 | - | +| `프롬프트` | 출력 이미지에서 보고 싶은 내용입니다. 요소, 색상 및 대상을 명확히 정의하는 강력하고 설명적인 프롬프트가 더 나은 결과를 이끌어냅니다. (기본값: 빈 문자열) | STRING | 예 | - | +| `창의성` | 초기 이미지에 크게 조건화되지 않은 추가 디테일을 생성할 가능성을 제어합니다. (기본값: 0.3) | FLOAT | 예 | 0.1-0.5 | +| `스타일 프리셋` | 생성된 이미지의 원하는 스타일입니다(선택 사항). (기본값: "None") | STRING | 예 | `"3d-model"`
`"analog-film"`
`"anime"`
`"cinematic"`
`"comic-book"`
`"digital-art"`
`"enhance"`
`"fantasy-art"`
`"isometric"`
`"line-art"`
`"low-poly"`
`"modeling-compound"`
`"neon-punk"`
`"origami"`
`"photographic"`
`"pixel-art"`
`"tile-texture"` | +| `시드` | 노이즈 생성에 사용되는 무작위 시드입니다. (기본값: 0) | INT | 예 | 0-4294967294 | +| `부정 프롬프트` | 출력 이미지에서 보고 싶지 않은 키워드입니다. 고급 기능입니다. (기본값: 빈 문자열) | STRING | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 4K 해상도로 업스케일된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `46f7bdd3cb4254b6305407f43e4a9a69a54fd3a0ac285d784c899dbf52edd552` diff --git a/ko/built-in-nodes/StabilityUpscaleFastNode.mdx b/ko/built-in-nodes/StabilityUpscaleFastNode.mdx new file mode 100644 index 000000000..6992c7211 --- /dev/null +++ b/ko/built-in-nodes/StabilityUpscaleFastNode.mdx @@ -0,0 +1,27 @@ +--- +title: "StabilityUpscaleFastNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityUpscaleFastNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StabilityUpscaleFastNode" +icon: "circle" +mode: wide +--- +# StabilityUpscaleFastNode + +Stability API 호출을 통해 이미지를 원본 크기의 4배로 빠르게 업스케일합니다. 이 노드는 저품질 또는 압축된 이미지를 Stability AI의 빠른 업스케일링 서비스로 전송하여 업스케일링하기 위해 특별히 설계되었습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 업스케일할 입력 이미지 | IMAGE | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | Stability AI API에서 반환된 업스케일된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `0f349c6834807d43173e628abbee91a3a26f587f4bd5453443a9f5754ea8aeeb` diff --git a/ko/built-in-nodes/StableCascade_EmptyLatentImage.mdx b/ko/built-in-nodes/StableCascade_EmptyLatentImage.mdx new file mode 100644 index 000000000..c53de6553 --- /dev/null +++ b/ko/built-in-nodes/StableCascade_EmptyLatentImage.mdx @@ -0,0 +1,31 @@ +--- +title: "StableCascade_EmptyLatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StableCascade_EmptyLatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StableCascade_EmptyLatentImage" +icon: "circle" +mode: wide +--- +# StableCascade_EmptyLatentImage + +StableCascade_EmptyLatentImage 노드는 Stable Cascade 모델을 위한 빈 잠재 텐서를 생성합니다. 입력 해상도와 압축 설정에 따라 적절한 차원을 가진 두 개의 개별 잠재 표현(스테이지 C용과 스테이지 B용)을 생성합니다. 이 노드는 Stable Cascade 생성 파이프라인의 시작점을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `너비` | 출력 이미지의 픽셀 단위 너비 (기본값: 1024, 증가 단위: 8) | INT | 예 | 256 ~ MAX_RESOLUTION | +| `높이` | 출력 이미지의 픽셀 단위 높이 (기본값: 1024, 증가 단위: 8) | INT | 예 | 256 ~ MAX_RESOLUTION | +| `압축` | 스테이지 C의 잠재 차원을 결정하는 압축 계수 (기본값: 42, 증가 단위: 1) | INT | 예 | 4 ~ 128 | +| `배치 크기` | 배치로 생성할 잠재 샘플의 개수 (기본값: 1) | INT | 아니요 | 1 ~ 4096 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `StageB 잠재 이미지` | 차원이 [batch_size, 16, height//compression, width//compression]인 스테이지 C 잠재 텐서 | LATENT | +| `stage_b` | 차원이 [batch_size, 4, height//4, width//4]인 스테이지 B 잠재 텐서 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_EmptyLatentImage/ko.md) + +--- +**Source fingerprint (SHA-256):** `ba5347f522b661993e540bc5775737cae88bd5f7a87c1b91715f8c1858e8e81a` diff --git a/ko/built-in-nodes/StableCascade_StageB_Conditioning.mdx b/ko/built-in-nodes/StableCascade_StageB_Conditioning.mdx new file mode 100644 index 000000000..c5b9f436e --- /dev/null +++ b/ko/built-in-nodes/StableCascade_StageB_Conditioning.mdx @@ -0,0 +1,26 @@ +--- +title: "StableCascade_StageB_Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StableCascade_StageB_Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StableCascade_StageB_Conditioning" +icon: "circle" +mode: wide +--- +StableCascade_StageB_Conditioning 노드는 기존 컨디셔닝 정보를 Stage C의 사전 잠재 표현과 결합하여 Stable Cascade Stage B 생성을 위한 컨디셔닝 데이터를 준비합니다. 이 노드는 Stage C의 잠재 샘플을 포함하도록 컨디셔닝 데이터를 수정하여, 생성 과정이 사전 정보를 활용해 더 일관된 결과를 도출할 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `조건` | Stage C 사전 정보로 수정할 컨디셔닝 데이터 | CONDITIONING | 예 | - | +| `StageC 잠재 이미지` | 컨디셔닝을 위한 사전 샘플이 포함된 Stage C의 잠재 표현 | LATENT | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | Stage C 사전 정보가 통합된 수정된 컨디셔닝 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageB_Conditioning/ko.md) + +--- +**Source fingerprint (SHA-256):** `f6ee524889aa324151a91c200fdc2692754cbd1348e32fbc05a26fd7ba27c755` diff --git a/ko/built-in-nodes/StableCascade_StageC_VAEEncode.mdx b/ko/built-in-nodes/StableCascade_StageC_VAEEncode.mdx new file mode 100644 index 000000000..47c99a244 --- /dev/null +++ b/ko/built-in-nodes/StableCascade_StageC_VAEEncode.mdx @@ -0,0 +1,28 @@ +--- +title: "StableCascade_StageC_VAEEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StableCascade_StageC_VAEEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StableCascade_StageC_VAEEncode" +icon: "circle" +mode: wide +--- +StableCascade_StageC_VAEEncode 노드는 VAE 인코더를 통해 이미지를 처리하여 Stable Cascade 모델용 잠재 표현을 생성합니다. 입력 이미지를 받아 지정된 VAE 모델을 사용하여 압축한 후, stage C용 잠재 표현과 stage B용 플레이스홀더라는 두 가지 잠재 표현을 출력합니다. 압축 매개변수는 인코딩 전 이미지가 축소되는 정도를 제어합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 잠재 공간으로 인코딩할 입력 이미지 | IMAGE | 예 | - | +| `vae` | 이미지 인코딩에 사용되는 VAE 모델 | VAE | 예 | - | +| `압축` | 인코딩 전 이미지에 적용되는 압축 계수 (기본값: 42) | INT | 아니요 | 4-128 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `StageB 잠재 이미지` | Stable Cascade 모델의 stage C용으로 인코딩된 잠재 표현 | LATENT | +| `stage_b` | stage B용 플레이스홀더 잠재 표현 (현재는 0을 반환) | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/ko.md) + +--- +**Source fingerprint (SHA-256):** `e7b9bd83d263903567ab06c00324575e01b79b50881fa807cd6f006955935c63` diff --git a/ko/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx b/ko/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx new file mode 100644 index 000000000..e508fd3bc --- /dev/null +++ b/ko/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx @@ -0,0 +1,28 @@ +--- +title: "StableCascade_SuperResolutionControlnet - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StableCascade_SuperResolutionControlnet node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StableCascade_SuperResolutionControlnet" +icon: "circle" +mode: wide +--- +StableCascade_SuperResolutionControlnet 노드는 Stable Cascade 초고해상도 처리를 위한 입력값을 준비합니다. 입력 이미지를 받아 VAE를 사용하여 인코딩함으로써 컨트롤넷 입력을 생성하고, 동시에 Stable Cascade 파이프라인의 스테이지 C와 스테이지 B를 위한 플레이스홀더 잠재 표현을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 초고해상도 처리를 위한 입력 이미지 | IMAGE | 예 | - | +| `vae` | 입력 이미지를 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `StageC 잠재 이미지` | 컨트롤넷 입력에 적합하도록 인코딩된 이미지 표현 | IMAGE | +| `StageB 잠재 이미지` | Stable Cascade 처리의 스테이지 C를 위한 플레이스홀더 잠재 표현 | LATENT | +| `stage_b` | Stable Cascade 처리의 스테이지 B를 위한 플레이스홀더 잠재 표현 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/ko.md) + +--- +**Source fingerprint (SHA-256):** `78b6e5a02c48ac37a205ef9d8532a3aca19134de4ec7be98b2ee55969dab7b53` diff --git a/ko/built-in-nodes/StableZero123_Conditioning.mdx b/ko/built-in-nodes/StableZero123_Conditioning.mdx new file mode 100644 index 000000000..44b5d93b2 --- /dev/null +++ b/ko/built-in-nodes/StableZero123_Conditioning.mdx @@ -0,0 +1,36 @@ +--- +title: "StableZero123_Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StableZero123_Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StableZero123_Conditioning" +icon: "circle" +mode: wide +--- +StableZero123_Conditioning 노드는 입력 이미지와 카메라 각도를 처리하여 3D 모델 생성을 위한 컨디셔닝 데이터와 잠재 표현을 생성합니다. CLIP 비전 모델을 사용하여 이미지 특징을 인코딩하고, 고도 및 방위각을 기반으로 한 카메라 임베딩 정보와 결합하여 양성 및 음성 컨디셔닝과 함께 다운스트림 3D 생성 작업을 위한 잠재 표현을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `clip_vision` | 이미지 특징을 인코딩하는 데 사용되는 CLIP 비전 모델 | CLIP_VISION | 예 | - | +| `초기 이미지` | 처리 및 인코딩할 입력 이미지 | IMAGE | 예 | - | +| `vae` | 픽셀을 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - | +| `너비` | 잠재 표현의 출력 너비 (기본값: 256, 8로 나누어 떨어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 잠재 표현의 출력 높이 (기본값: 256, 8로 나누어 떨어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `배치 크기` | 배치에서 생성할 샘플 수 (기본값: 1) | INT | 예 | 1 ~ 4096 | +| `고도` | 카메라 고도 각도 (도 단위, 기본값: 0.0) | FLOAT | 예 | -180.0 ~ 180.0 | +| `방위각` | 카메라 방위각 (도 단위, 기본값: 0.0) | FLOAT | 예 | -180.0 ~ 180.0 | + +**참고:** `width` 및 `height` 매개변수는 8로 나누어 떨어져야 합니다. 노드가 잠재 표현 차원을 생성하기 위해 자동으로 이 값을 8로 나누기 때문입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 이미지 특징과 카메라 임베딩을 결합한 양성 컨디셔닝 데이터 | CONDITIONING | +| `잠재 데이터` | 0으로 초기화된 특징을 가진 음성 컨디셔닝 데이터 | CONDITIONING | +| `latent` | [batch_size, 4, height//8, width//8] 차원의 잠재 표현 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning/ko.md) + +--- +**Source fingerprint (SHA-256):** `a9d6619c800119c9a619665f322d49ded1478ceb40df56ca5707b31242cb0e47` diff --git a/ko/built-in-nodes/StableZero123_Conditioning_Batched.mdx b/ko/built-in-nodes/StableZero123_Conditioning_Batched.mdx new file mode 100644 index 000000000..6a7d4c41e --- /dev/null +++ b/ko/built-in-nodes/StableZero123_Conditioning_Batched.mdx @@ -0,0 +1,40 @@ +--- +title: "StableZero123_Conditioning_Batched - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StableZero123_Conditioning_Batched node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StableZero123_Conditioning_Batched" +icon: "circle" +mode: wide +--- +# StableZero123_Conditioning_Batched + +StableZero123_Conditioning_Batched 노드는 입력 이미지를 처리하여 3D 모델 생성을 위한 컨디셔닝 데이터를 생성합니다. CLIP 비전과 VAE 모델을 사용하여 이미지를 인코딩한 후, 고도(elevation) 및 방위각(azimuth) 각도를 기반으로 카메라 임베딩을 생성하여 배치 처리를 위한 양성 및 음성 컨디셔닝과 잠재 표현을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `clip_vision` | 입력 이미지 인코딩에 사용되는 CLIP 비전 모델 | CLIP_VISION | 예 | - | +| `초기 이미지` | 처리 및 인코딩할 초기 입력 이미지 | IMAGE | 예 | - | +| `vae` | 이미지 픽셀을 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - | +| `너비` | 처리된 이미지의 출력 너비 (기본값: 256, 8로 나누어 떨어져야 함) | INT | 아니요 | 16 ~ MAX_RESOLUTION | +| `높이` | 처리된 이미지의 출력 높이 (기본값: 256, 8로 나누어 떨어져야 함) | INT | 아니요 | 16 ~ MAX_RESOLUTION | +| `배치 크기` | 배치에서 생성할 컨디셔닝 샘플 수 (기본값: 1) | INT | 아니요 | 1 ~ 4096 | +| `고도` | 초기 카메라 고도 각도(도) (기본값: 0.0) | FLOAT | 아니요 | -180.0 ~ 180.0 | +| `방위각` | 초기 카메라 방위각 각도(도) (기본값: 0.0) | FLOAT | 아니요 | -180.0 ~ 180.0 | +| `고도 배치 증가` | 각 배치 항목에 대해 고도를 증가시킬 값 (기본값: 0.0) | FLOAT | 아니요 | -180.0 ~ 180.0 | +| `방위각 배치 증가` | 각 배치 항목에 대해 방위각을 증가시킬 값 (기본값: 0.0) | FLOAT | 아니요 | -180.0 ~ 180.0 | + +**참고:** `width` 및 `height` 매개변수는 8로 나누어 떨어져야 합니다. 이 노드는 내부적으로 잠재 공간 생성을 위해 이러한 차원을 8로 나누기 때문입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 이미지 임베딩과 카메라 매개변수를 포함하는 양성 컨디셔닝 데이터 | CONDITIONING | +| `잠재 데이터` | 0으로 초기화된 임베딩을 포함하는 음성 컨디셔닝 데이터 | CONDITIONING | +| `latent` | 배치 인덱싱 정보와 함께 처리된 이미지의 잠재 표현 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning_Batched/ko.md) + +--- +**Source fingerprint (SHA-256):** `2b770f7a168a0d3e33da8bfa63383080709fa5d53846dbf6a4374bd1ef1746aa` diff --git a/ko/built-in-nodes/Stablezero123Conditioning.mdx b/ko/built-in-nodes/Stablezero123Conditioning.mdx new file mode 100644 index 000000000..5b11eb377 --- /dev/null +++ b/ko/built-in-nodes/Stablezero123Conditioning.mdx @@ -0,0 +1,31 @@ +--- +title: "Stablezero123Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Stablezero123Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Stablezero123Conditioning" +icon: "circle" +mode: wide +--- +이 노드는 StableZero123 모델에서 사용할 데이터를 처리 및 조건화하여, 해당 모델에 호환되고 최적화된 특정 형식으로 입력을 준비하도록 설계되었습니다. + +## 입력 + +| 매개변수 | 설명 | Comfy 데이터 타입 | +| --- | --- | --- | +| `clip_vision` | 시각 데이터를 처리하여 모델 요구 사항에 맞추고, 모델의 시각적 맥락 이해를 향상시킵니다. | `CLIP_VISION` | +| `init_image` | 모델의 초기 이미지 입력 역할을 하며, 추가 이미지 기반 작업의 기준을 설정합니다. | `IMAGE` | +| `vae` | 변분 오토인코더 출력을 통합하여 모델이 이미지를 생성하거나 수정하는 기능을 지원합니다. | `VAE` | +| `width` | 출력 이미지의 너비를 지정하여 모델 요구에 따라 동적 크기 조정을 가능하게 합니다. | `INT` | +| `height` | 출력 이미지의 높이를 결정하여 출력 크기를 사용자 지정할 수 있도록 합니다. | `INT` | +| `batch_size` | 단일 배치에서 처리되는 이미지 수를 제어하여 계산 효율성을 최적화합니다. | `INT` | +| `elevation` | 3D 모델 렌더링의 고도 각도를 조정하여 모델의 공간 이해를 향상시킵니다. | `FLOAT` | +| `azimuth` | 3D 모델 시각화의 방위각을 수정하여 모델의 방향 인식을 개선합니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `positive` | 긍정 조건화 벡터를 생성하여 모델의 긍정적 특징 강화를 돕습니다. | `CONDITIONING` | +| `negative` | 부정 조건화 벡터를 생성하여 모델이 특정 특징을 회피하도록 지원합니다. | `CONDITIONING` | +| `latent` | 잠재 표현을 생성하여 모델이 데이터를 더 깊이 이해할 수 있도록 합니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Stablezero123Conditioning/ko.md) diff --git a/ko/built-in-nodes/Stablezero123ConditioningBatched.mdx b/ko/built-in-nodes/Stablezero123ConditioningBatched.mdx new file mode 100644 index 000000000..179e56b84 --- /dev/null +++ b/ko/built-in-nodes/Stablezero123ConditioningBatched.mdx @@ -0,0 +1,33 @@ +--- +title: "Stablezero123ConditioningBatched - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Stablezero123ConditioningBatched node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Stablezero123ConditioningBatched" +icon: "circle" +mode: wide +--- +이 노드는 StableZero123 모델에 특화된 배치 방식으로 컨디셔닝 정보를 처리하도록 설계되었습니다. 여러 컨디셔닝 데이터 세트를 동시에 효율적으로 처리하여 배치 처리가 중요한 워크플로우를 최적화합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `clip_vision` | 컨디셔닝 과정에 시각적 맥락을 제공하는 CLIP 비전 임베딩입니다. | `CLIP_VISION` | +| `init_image` | 컨디셔닝의 기준이 되는 초기 이미지로, 생성 과정의 시작점 역할을 합니다. | `IMAGE` | +| `vae` | 컨디셔닝 과정에서 이미지 인코딩 및 디코딩에 사용되는 변분 오토인코더입니다. | `VAE` | +| `width` | 출력 이미지의 너비입니다. | `INT` | +| `height` | 출력 이미지의 높이입니다. | `INT` | +| `batch_size` | 단일 배치에서 처리할 컨디셔닝 세트의 개수입니다. | `INT` | +| `elevation` | 3D 모델 컨디셔닝의 고도 각도로, 생성된 이미지의 시점에 영향을 줍니다. | `FLOAT` | +| `azimuth` | 3D 모델 컨디셔닝의 방위각으로, 생성된 이미지의 방향에 영향을 줍니다. | `FLOAT` | +| `elevation_batch_increment` | 배치 전체에 걸친 고도 각도의 증분 변화로, 다양한 시점을 구현할 수 있게 합니다. | `FLOAT` | +| `azimuth_batch_increment` | 배치 전체에 걸친 방위각의 증분 변화로, 다양한 방향을 구현할 수 있게 합니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `positive` | 생성된 콘텐츠에서 특정 특징이나 측면을 강화하도록 조정된 긍정 컨디셔닝 출력입니다. | `CONDITIONING` | +| `negative` | 생성된 콘텐츠에서 특정 특징이나 측면을 약화하도록 조정된 부정 컨디셔닝 출력입니다. | `CONDITIONING` | +| `latent` | 컨디셔닝 과정에서 도출된 잠재 표현으로, 추가 처리 또는 생성 단계에 사용할 준비가 되었습니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Stablezero123ConditioningBatched/ko.md) diff --git a/ko/built-in-nodes/StringCompare.mdx b/ko/built-in-nodes/StringCompare.mdx new file mode 100644 index 000000000..fdff7475e --- /dev/null +++ b/ko/built-in-nodes/StringCompare.mdx @@ -0,0 +1,28 @@ +--- +title: "StringCompare - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringCompare node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StringCompare" +icon: "circle" +mode: wide +--- +StringCompare 노드는 다양한 비교 방식을 사용하여 두 개의 텍스트 문자열을 비교합니다. 한 문자열이 다른 문자열로 시작하는지, 끝나는지, 또는 두 문자열이 정확히 동일한지 확인할 수 있습니다. 비교 시 대소문자 구분 여부를 선택할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `문자열_a` | 비교할 첫 번째 문자열 | STRING | 예 | - | +| `문자열_b` | 비교 대상이 되는 두 번째 문자열 | STRING | 예 | - | +| `모드` | 사용할 비교 방식 (기본값: "Starts With") | COMBO | 예 | "Starts With"
"Ends With"
"Equal" | +| `대소문자 구분` | 비교 시 대소문자 구분 여부 (기본값: true) | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 비교 조건이 충족되면 true를, 그렇지 않으면 false를 반환합니다 | BOOLEAN | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringCompare/ko.md) + +--- +**Source fingerprint (SHA-256):** `4491e4acd2c1881e9c924c6ae51d764dec5f46279094d173fe551e9ee9256597` diff --git a/ko/built-in-nodes/StringConcatenate.mdx b/ko/built-in-nodes/StringConcatenate.mdx new file mode 100644 index 000000000..0a1b8d4d9 --- /dev/null +++ b/ko/built-in-nodes/StringConcatenate.mdx @@ -0,0 +1,27 @@ +--- +title: "StringConcatenate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringConcatenate node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StringConcatenate" +icon: "circle" +mode: wide +--- +StringConcatenate 노드는 두 개의 텍스트 문자열을 지정된 구분자로 결합하여 하나의 문자열로 만듭니다. 두 개의 입력 문자열과 구분자 문자 또는 문자열을 받아, 두 입력 사이에 구분자를 삽입하여 연결된 단일 문자열을 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `문자열_a` | 연결할 첫 번째 텍스트 문자열 | STRING | 예 | - | +| `문자열_b` | 연결할 두 번째 텍스트 문자열 | STRING | 예 | - | +| `구분자` | 두 입력 문자열 사이에 삽입할 문자 또는 문자열 (기본값: 빈 문자열) | STRING | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | string_a와 string_b 사이에 구분자가 삽입되어 결합된 문자열 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringConcatenate/ko.md) + +--- +**Source fingerprint (SHA-256):** `8e33665fb14a53f6c3bbfb6a4553ac7effa96d7d16d9ab2a9d4a1249abfc62e4` diff --git a/ko/built-in-nodes/StringContains.mdx b/ko/built-in-nodes/StringContains.mdx new file mode 100644 index 000000000..a3b39493e --- /dev/null +++ b/ko/built-in-nodes/StringContains.mdx @@ -0,0 +1,27 @@ +--- +title: "StringContains - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringContains node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StringContains" +icon: "circle" +mode: wide +--- +StringContains 노드는 주어진 문자열에 특정 하위 문자열이 포함되어 있는지 확인합니다. 대소문자를 구분하거나 구분하지 않고 검색을 수행할 수 있으며, 하위 문자열이 주 문자열 내에서 발견되었는지 여부를 나타내는 부울 결과를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `문자열` | 검색 대상이 되는 주 텍스트 문자열입니다 | STRING | 예 | - | +| `부분 문자열` | 주 문자열 내에서 검색할 텍스트입니다 | STRING | 예 | - | +| `대소문자 구분` | 검색 시 대소문자를 구분할지 여부를 결정합니다 (기본값: true) | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `contains` | 하위 문자열이 문자열에서 발견되면 true를, 그렇지 않으면 false를 반환합니다 | BOOLEAN | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringContains/ko.md) + +--- +**Source fingerprint (SHA-256):** `ef7329ca8586e0f894306d93835490edb948a346db1e0cb011e4da5a6fe44202` diff --git a/ko/built-in-nodes/StringFormat.mdx b/ko/built-in-nodes/StringFormat.mdx new file mode 100644 index 000000000..f43b9c82d --- /dev/null +++ b/ko/built-in-nodes/StringFormat.mdx @@ -0,0 +1,30 @@ +--- +title: "StringFormat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringFormat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StringFormat" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 Python의 문자열 형식화 메서드를 사용하여 텍스트를 포맷합니다. 템플릿처럼 작동하여 자리 표시자가 있는 텍스트 패턴을 정의한 다음, 해당 자리 표시자를 채울 값을 제공합니다. 모든 Python 형식 옵션과 기능을 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `f_string` | 자리 표시자가 포함된 형식 문자열 템플릿(기본값: `{a}`). 여러 줄 입력을 지원합니다. | STRING | 예 | 해당 없음 | +| `values` | 형식 문자열의 자리 표시자를 채울 값을 제공하는 동적 입력입니다. 필요에 따라 여러 값 입력을 추가할 수 있습니다. | STRING | 예 | 해당 없음 | + +**`values` 입력 참고 사항:** 이 입력은 동적이며 여러 개의 명명된 값을 포함하도록 확장할 수 있습니다. 각 값 입력은 문자(a, b, c 등)로 레이블이 지정되며 형식 문자열의 자리 표시자(예: `{a}`, `{b}`, `{c}`)에 해당합니다. 필요에 따라 값 입력을 추가하거나 제거할 수 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `STRING` | 모든 자리 표시자가 해당 값으로 대체된 포맷된 텍스트 문자열입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/ko.md) + +--- +**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122` diff --git a/ko/built-in-nodes/StringLength.mdx b/ko/built-in-nodes/StringLength.mdx new file mode 100644 index 000000000..6ab6b3337 --- /dev/null +++ b/ko/built-in-nodes/StringLength.mdx @@ -0,0 +1,25 @@ +--- +title: "StringLength - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringLength node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StringLength" +icon: "circle" +mode: wide +--- +StringLength 노드는 텍스트 문자열의 문자 수를 계산합니다. 모든 텍스트 입력을 받아 공백과 구두점을 포함한 총 문자 수를 반환합니다. 이는 텍스트 길이를 측정하거나 문자열 크기 요구 사항을 검증하는 데 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `문자열` | 길이를 측정할 텍스트 문자열입니다. 여러 줄 입력을 지원합니다. | STRING | 예 | 해당 없음 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `length` | 입력 문자열의 총 문자 수로, 공백과 특수 문자를 포함합니다. | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringLength/ko.md) + +--- +**Source fingerprint (SHA-256):** `dd72fac8330002e5e0ef2673ff208de36c6cf31aeec22a1c231495c742df62e3` diff --git a/ko/built-in-nodes/StringReplace.mdx b/ko/built-in-nodes/StringReplace.mdx new file mode 100644 index 000000000..983e4c8af --- /dev/null +++ b/ko/built-in-nodes/StringReplace.mdx @@ -0,0 +1,27 @@ +--- +title: "StringReplace - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringReplace node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StringReplace" +icon: "circle" +mode: wide +--- +StringReplace 노드는 입력 문자열에 대해 텍스트 치환 작업을 수행합니다. 입력 텍스트 내에서 지정된 하위 문자열을 검색하고 모든 항목을 다른 하위 문자열로 교체합니다. 이 노드는 모든 치환이 적용된 수정된 문자열을 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `문자열` | 치환이 수행될 입력 텍스트 문자열입니다 | STRING | 예 | - | +| `찾기` | 입력 텍스트 내에서 검색할 하위 문자열입니다 | STRING | 예 | - | +| `바꾸기` | 발견된 모든 항목을 대체할 치환 텍스트입니다 | STRING | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 찾은 텍스트의 모든 항목이 치환 텍스트로 대체된 수정된 문자열입니다 | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringReplace/ko.md) + +--- +**Source fingerprint (SHA-256):** `72159dba72261efe9df283c1ea3f789651eade923efdaeb108bacc1d0da663f8` diff --git a/ko/built-in-nodes/StringSubstring.mdx b/ko/built-in-nodes/StringSubstring.mdx new file mode 100644 index 000000000..136d4c48d --- /dev/null +++ b/ko/built-in-nodes/StringSubstring.mdx @@ -0,0 +1,27 @@ +--- +title: "StringSubstring - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringSubstring node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StringSubstring" +icon: "circle" +mode: wide +--- +StringSubstring 노드는 더 큰 문자열에서 텍스트의 일부를 추출합니다. 추출할 부분을 정의하기 위해 시작 위치와 끝 위치를 사용하며, 해당 두 위치 사이의 텍스트를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `문자열` | 추출할 입력 텍스트 문자열입니다. 여러 줄 텍스트를 지원합니다. | STRING | 예 | - | +| `시작` | 부분 문자열의 시작 위치 인덱스입니다. 첫 번째 문자는 인덱스 0에 있습니다. | INT | 예 | - | +| `끝` | 부분 문자열의 끝 위치 인덱스입니다. 이 인덱스에 있는 문자는 결과에 포함되지 않습니다. | INT | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력 텍스트에서 추출된 부분 문자열로, `시작` 위치부터 `끝` 위치 바로 앞까지의 모든 문자를 포함합니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringSubstring/ko.md) + +--- +**Source fingerprint (SHA-256):** `962d0b19af88b6c95b5c9d374081ecd55ee8cffbfb638de7ed38e6e378b220c5` diff --git a/ko/built-in-nodes/StringTrim.mdx b/ko/built-in-nodes/StringTrim.mdx new file mode 100644 index 000000000..dbdccb9f3 --- /dev/null +++ b/ko/built-in-nodes/StringTrim.mdx @@ -0,0 +1,26 @@ +--- +title: "StringTrim - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringTrim node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StringTrim" +icon: "circle" +mode: wide +--- +StringTrim 노드는 텍스트 문자열의 시작, 끝 또는 양쪽에서 공백 문자를 제거합니다. 문자열의 왼쪽, 오른쪽 또는 양쪽에서 트리밍 방식을 선택할 수 있습니다. 불필요한 공백, 탭 또는 줄 바꿈 문자를 제거하여 텍스트 입력을 정리하는 데 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `문자열` | 처리할 텍스트 문자열입니다. 여러 줄 입력을 지원합니다. | STRING | 예 | - | +| `모드` | 문자열의 어느 쪽을 트리밍할지 지정합니다. "Both"는 양쪽 끝에서 공백을 제거하고, "Left"는 시작 부분에서만, "Right"는 끝 부분에서만 제거합니다. | COMBO | 예 | "Both"
"Left"
"Right" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 선택한 모드에 따라 공백이 제거된 트리밍된 텍스트 문자열입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringTrim/ko.md) + +--- +**Source fingerprint (SHA-256):** `29b4da100373585af8a672ccfbd4c0b597705c1d8c176b2f88f3e878c1192460` diff --git a/ko/built-in-nodes/StripWhitespace.mdx b/ko/built-in-nodes/StripWhitespace.mdx new file mode 100644 index 000000000..0e1b4f0cc --- /dev/null +++ b/ko/built-in-nodes/StripWhitespace.mdx @@ -0,0 +1,27 @@ +--- +title: "StripWhitespace - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StripWhitespace node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StripWhitespace" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StripWhitespace/en.md) + +이 노드는 텍스트 문자열의 시작과 끝에서 불필요한 공백, 탭 또는 줄바꿈을 제거합니다. 텍스트 입력을 받아 앞뒤 공백이 제거된 정리된 버전을 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `text` | 앞뒤 공백을 제거할 텍스트 문자열입니다. | STRING | 예 | 해당 없음 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `text` | 모든 앞뒤 공백 문자가 제거된 처리된 텍스트입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StripWhitespace/ko.md) + +--- +**Source fingerprint (SHA-256):** `5b86f71c842a89fe42119593a8bfd30ea441cd02e35356f431ebfdda8010e58d` diff --git a/ko/built-in-nodes/StyleModelApply.mdx b/ko/built-in-nodes/StyleModelApply.mdx new file mode 100644 index 000000000..1fddbff10 --- /dev/null +++ b/ko/built-in-nodes/StyleModelApply.mdx @@ -0,0 +1,26 @@ +--- +title: "StyleModelApply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StyleModelApply node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StyleModelApply" +icon: "circle" +mode: wide +--- +이 노드는 스타일 모델을 주어진 컨디셔닝에 적용하여, CLIP 비전 모델의 출력을 기반으로 스타일을 강화하거나 변경합니다. 스타일 모델의 컨디셔닝을 기존 컨디셔닝에 통합하여, 생성 과정에서 스타일이 자연스럽게 혼합되도록 합니다. + +## 입력 + +### 필수 + +| 매개변수 | 설명 | Comfy 자료형 | +| --- | --- | --- | +| `조건` | 스타일 모델의 컨디셔닝이 적용될 원본 컨디셔닝 데이터입니다. 강화되거나 변경될 기본 컨텍스트 또는 스타일을 정의하는 데 중요합니다. | `CONDITIONING` | +| `스타일 모델` | CLIP 비전 모델의 출력을 기반으로 새로운 컨디셔닝을 생성하는 데 사용되는 스타일 모델입니다. 적용할 새로운 스타일을 정의하는 핵심 역할을 합니다. | `STYLE_MODEL` | +| `clip_vision 출력` | CLIP 비전 모델의 출력으로, 스타일 모델이 새로운 컨디셔닝을 생성하는 데 사용됩니다. 스타일 적용에 필요한 시각적 컨텍스트를 제공합니다. | `CLIP_VISION_OUTPUT` | + +## 출력 + +| 매개변수 | 설명 | Comfy 자료형 | +| --- | --- | --- | +| `조건` | 스타일 모델의 출력이 통합되어 강화되거나 변경된 컨디셔닝입니다. 추가 처리 또는 생성을 위한 최종 스타일링된 컨디셔닝을 나타냅니다. | `CONDITIONING` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StyleModelApply/ko.md) diff --git a/ko/built-in-nodes/StyleModelLoader.mdx b/ko/built-in-nodes/StyleModelLoader.mdx new file mode 100644 index 000000000..5d3b4932e --- /dev/null +++ b/ko/built-in-nodes/StyleModelLoader.mdx @@ -0,0 +1,24 @@ +--- +title: "StyleModelLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StyleModelLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StyleModelLoader" +icon: "circle" +mode: wide +--- +이 노드는 `ComfyUI/models/style_models` 폴더에 있는 모델을 감지하며, extra_model_paths.yaml 파일에 설정된 추가 경로의 모델도 함께 읽어옵니다. 경우에 따라 **ComfyUI 인터페이스를 새로고침**하여 해당 폴더에서 모델 파일을 읽도록 해야 할 수도 있습니다. + +StyleModelLoader 노드는 지정된 경로에서 스타일 모델을 로드하도록 설계되었습니다. 이 노드는 특정 예술적 스타일을 이미지에 적용하는 데 사용할 수 있는 스타일 모델을 검색하고 초기화하는 데 중점을 두며, 로드된 스타일 모델을 기반으로 시각적 출력을 사용자 지정할 수 있도록 합니다. + +## 입력 + +| 매개변수 이름 | 설명 | Comfy 자료형 | Python 자료형 | +| --- | --- | --- | --- | +| `스타일 모델 이름` | 로드할 스타일 모델의 이름을 지정합니다. 이 이름은 미리 정의된 디렉터리 구조 내에서 모델 파일을 찾는 데 사용되며, 사용자 입력이나 애플리케이션 요구 사항에 따라 다양한 스타일 모델을 동적으로 로드할 수 있도록 합니다. | COMBO[STRING] | `str` | + +## 출력 + +| 매개변수 이름 | 설명 | Comfy 자료형 | Python 자료형 | +| --- | --- | --- | --- | +| `style_model` | 로드된 스타일 모델을 반환하며, 이미지에 스타일을 적용할 준비가 된 상태입니다. 이를 통해 다양한 예술적 스타일을 적용하여 시각적 출력을 동적으로 사용자 지정할 수 있습니다. | `STYLE_MODEL` | `StyleModel` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StyleModelLoader/ko.md) diff --git a/ko/built-in-nodes/SvdImg2vidConditioning.mdx b/ko/built-in-nodes/SvdImg2vidConditioning.mdx new file mode 100644 index 000000000..97d7331d4 --- /dev/null +++ b/ko/built-in-nodes/SvdImg2vidConditioning.mdx @@ -0,0 +1,32 @@ +--- +title: "SvdImg2vidConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SvdImg2vidConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SvdImg2vidConditioning" +icon: "circle" +mode: wide +--- +이 노드는 비디오 생성 작업을 위한 컨디셔닝 데이터를 생성하도록 설계되었으며, 특히 SVD_img2vid 모델과 함께 사용하기 위해 맞춤화되었습니다. 초기 이미지, 비디오 매개변수 및 VAE 모델을 포함한 다양한 입력을 받아 비디오 프레임 생성을 안내하는 데 사용할 수 있는 컨디셔닝 데이터를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | Compy 데이터 타입 | +| --- | --- | --- | +| `clip_vision` | 초기 이미지의 시각적 특징을 인코딩하는 데 사용되는 CLIP 비전 모델을 나타내며, 비디오 생성을 위한 이미지의 내용과 맥락을 이해하는 데 중요한 역할을 합니다. | `CLIP_VISION` | +| `init_image` | 비디오가 생성될 초기 이미지로, 비디오 생성 프로세스의 시작점 역할을 합니다. | `IMAGE` | +| `vae` | 초기 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE(Variational Autoencoder) 모델로, 일관되고 연속적인 비디오 프레임 생성을 용이하게 합니다. | `VAE` | +| `width` | 생성할 비디오 프레임의 원하는 너비로, 비디오 해상도를 사용자 지정할 수 있도록 합니다. | `INT` | +| `height` | 비디오 프레임의 원하는 높이로, 비디오의 화면 비율과 해상도를 제어할 수 있도록 합니다. | `INT` | +| `video_frames` | 비디오에 대해 생성할 프레임 수를 지정하며, 비디오 길이를 결정합니다. | `INT` | +| `motion_bucket_id` | 비디오 생성에 적용할 동작 유형을 분류하기 위한 식별자로, 역동적이고 매력적인 비디오 제작을 돕습니다. | `INT` | +| `fps` | 비디오의 초당 프레임(fps) 속도로, 생성된 비디오의 부드러움과 사실감에 영향을 미칩니다. | `INT` | +| `augmentation_level` | 초기 이미지에 적용되는 증강 수준을 제어하는 매개변수로, 생성된 비디오 프레임의 다양성과 변동성에 영향을 미칩니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | Compy 데이터 타입 | +| --- | --- | --- | +| `positive` | 긍정 컨디셔닝 데이터로, 원하는 방향으로 비디오 생성 프로세스를 안내하기 위한 인코딩된 특징과 매개변수로 구성됩니다. | `CONDITIONING` | +| `negative` | 부정 컨디셔닝 데이터로, 긍정 컨디셔닝과 대비를 제공하며 생성된 비디오에서 특정 패턴이나 특징을 피하는 데 사용될 수 있습니다. | `CONDITIONING` | +| `latent` | 비디오의 각 프레임에 대해 생성된 잠재 표현으로, 비디오 생성 프로세스의 기본 구성 요소 역할을 합니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SvdImg2vidConditioning/ko.md) diff --git a/ko/built-in-nodes/T5TokenizerOptions.mdx b/ko/built-in-nodes/T5TokenizerOptions.mdx new file mode 100644 index 000000000..8a589b008 --- /dev/null +++ b/ko/built-in-nodes/T5TokenizerOptions.mdx @@ -0,0 +1,27 @@ +--- +title: "T5TokenizerOptions - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the T5TokenizerOptions node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "T5TokenizerOptions" +icon: "circle" +mode: wide +--- +T5TokenizerOptions 노드를 사용하면 다양한 T5 모델 유형에 대한 토크나이저 설정을 구성할 수 있습니다. 이 노드는 t5xxl, pile_t5xl, t5base, mt5xl, umt5xxl 등 여러 T5 모델 변형에 대한 최소 패딩 및 최소 길이 매개변수를 설정합니다. CLIP 입력을 받아 지정된 토크나이저 옵션이 적용된 수정된 CLIP을 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 토크나이저 옵션을 구성할 CLIP 모델 | CLIP | 예 | - | +| `최소 패딩` | 모든 T5 모델 유형에 설정할 최소 패딩 값 (기본값: 0) | INT | 아니요 | 0 ~ 10000 | +| `최소 길이` | 모든 T5 모델 유형에 설정할 최소 길이 값 (기본값: 0) | INT | 아니요 | 0 ~ 10000 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 모든 T5 변형에 업데이트된 토크나이저 옵션이 적용된 수정된 CLIP 모델 | CLIP | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/T5TokenizerOptions/ko.md) + +--- +**Source fingerprint (SHA-256):** `bc05c714e4006786d0c948ed1de05324257472337397b0aa4ce574d7483929ff` diff --git a/ko/built-in-nodes/TCFG.mdx b/ko/built-in-nodes/TCFG.mdx new file mode 100644 index 000000000..3def6de8a --- /dev/null +++ b/ko/built-in-nodes/TCFG.mdx @@ -0,0 +1,25 @@ +--- +title: "TCFG - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TCFG node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TCFG" +icon: "circle" +mode: wide +--- +TCFG(접선 감쇠 CFG)는 샘플링 과정에서 조건부(긍정) 예측과 더 잘 일치하도록 무조건부(부정) 예측을 정제합니다. 이 기술은 연구 논문 2503.18137을 기반으로 무조건부 안내에 접선 감쇠를 적용하여 출력 품질을 향상시킵니다. 이 노드는 분류기 자유 안내(classifier-free guidance) 중 무조건부 예측이 처리되는 방식을 조정하여 모델의 샘플링 동작을 수정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 접선 감쇠 CFG를 적용할 모델 | MODEL | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `patched_model` | 접선 감쇠 CFG가 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TCFG/ko.md) + +--- +**Source fingerprint (SHA-256):** `de6b4deb8a42f05dff90e393bff1e0b4b8ed58887586ca81c236e1a780be5776` diff --git a/ko/built-in-nodes/TemporalScoreRescaling.mdx b/ko/built-in-nodes/TemporalScoreRescaling.mdx new file mode 100644 index 000000000..966ba4db3 --- /dev/null +++ b/ko/built-in-nodes/TemporalScoreRescaling.mdx @@ -0,0 +1,29 @@ +--- +title: "TemporalScoreRescaling - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TemporalScoreRescaling node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TemporalScoreRescaling" +icon: "circle" +mode: wide +--- +이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TemporalScoreRescaling/en.md) + +이 노드는 확산 모델에 시간적 점수 재조정(TSR)을 적용합니다. 노이즈 제거 과정에서 예측된 노이즈 또는 점수를 재조정하여 모델의 샘플링 동작을 수정하며, 이를 통해 생성된 출력의 다양성을 조절할 수 있습니다. 이는 사후 CFG(분류기-비지도 안내) 함수로 구현됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | TSR 함수로 패치할 확산 모델입니다. | MODEL | 예 | - | +| `tsr_k` | 재조정 강도를 제어합니다. k 값이 낮을수록 이미지 생성 시 더 세부적인 결과를 생성하고, 높을수록 더 부드러운 결과를 생성합니다. k = 1로 설정하면 재조정이 비활성화됩니다. (기본값: 0.95) | FLOAT | 아니요 | 0.01 - 100.0 | +| `tsr_sigma` | 재조정이 적용되기 시작하는 시점을 제어합니다. 값이 클수록 더 일찍 적용됩니다. (기본값: 1.0) | FLOAT | 아니요 | 0.01 - 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `patched_model` | 샘플링 과정에 시간적 점수 재조정 함수가 적용되어 패치된 입력 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TemporalScoreRescaling/ko.md) + +--- +**Source fingerprint (SHA-256):** `2931b42ac93cf50e2c395bacf3128bb43dcc043ab5c8f86d7aabe4d35a44d20a` diff --git a/ko/built-in-nodes/Tencent3DPartNode.mdx b/ko/built-in-nodes/Tencent3DPartNode.mdx new file mode 100644 index 000000000..dbeae9718 --- /dev/null +++ b/ko/built-in-nodes/Tencent3DPartNode.mdx @@ -0,0 +1,30 @@ +--- +title: "Tencent3DPartNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Tencent3DPartNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Tencent3DPartNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md) + +이 노드는 Tencent Hunyuan3D API를 사용하여 3D 모델을 자동으로 분석하고, 구조에 따라 구성 요소를 생성하거나 식별합니다. 모델을 처리한 후 새로운 FBX 파일을 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model_3d` | 처리할 3D 모델입니다. 모델은 FBX 형식이어야 하며, 30,000개 미만의 면을 가져야 합니다. | FILE3D | 예 | FBX, Any | +| `seed` | 노드를 다시 실행할지 여부를 제어하는 시드 값입니다. 시드 값과 관계없이 결과는 비결정적입니다. (기본값: 0) | INT | 아니요 | 0 ~ 2147483647 | + +**참고:** `model_3d` 입력은 FBX 형식의 파일만 지원합니다. 다른 3D 파일 형식이 제공되면 노드에서 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `FBX` | 처리된 3D 모델로, FBX 파일 형식으로 반환됩니다. | FILE3DFBX | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DPartNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `eae7d0197d4391af1f5f24f120c64f1045649182108affad10b9a00f329310fe` diff --git a/ko/built-in-nodes/Tencent3DTextureEditNode.mdx b/ko/built-in-nodes/Tencent3DTextureEditNode.mdx new file mode 100644 index 000000000..e404f87c4 --- /dev/null +++ b/ko/built-in-nodes/Tencent3DTextureEditNode.mdx @@ -0,0 +1,33 @@ +--- +title: "Tencent3DTextureEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Tencent3DTextureEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Tencent3DTextureEditNode" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하시거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md) + +이 노드는 Tencent Hunyuan3D API를 사용하여 3D 모델의 텍스처를 편집합니다. 3D 모델과 원하는 변경 사항에 대한 텍스트 설명을 제공하면, 노드가 사용자의 프롬프트에 따라 텍스처가 다시 그려진 새로운 버전의 모델을 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model_3d` | FBX 형식의 3D 모델입니다. 모델은 100,000개 미만의 면을 가져야 합니다. | FILE3D | 예 | FBX, 모든 형식 | +| `prompt` | 텍스처 편집을 설명합니다. 최대 1024자의 UTF-8 문자를 지원합니다. | STRING | 예 | | +| `seed` | 시드는 노드 재실행 여부를 제어합니다. 시드와 관계없이 결과는 비결정적입니다. (기본값: 0) | INT | 아니요 | 0 ~ 2147483647 | + +**참고:** `model_3d` 입력은 반드시 FBX 형식의 파일이어야 합니다. 이 노드는 다른 3D 파일 형식을 지원하지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `OBJ` | GLB 형식으로 처리된 3D 모델입니다. | FILE3D | +| `texture_image` | OBJ 형식으로 처리된 3D 모델입니다. | FILE3D | +| `texture_image` | 3D 모델에 대해 새로 생성된 텍스처 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `c8e81fcfc24707746b8d1291d31aff325523cd93a627b896402ce1b5a96c7e87` diff --git a/ko/built-in-nodes/TencentImageToModelNode.mdx b/ko/built-in-nodes/TencentImageToModelNode.mdx new file mode 100644 index 000000000..c004ae5d5 --- /dev/null +++ b/ko/built-in-nodes/TencentImageToModelNode.mdx @@ -0,0 +1,44 @@ +--- +title: "TencentImageToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TencentImageToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TencentImageToModelNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md) + +이 노드는 Tencent의 Hunyuan3D Pro API를 사용하여 하나 이상의 입력 이미지로부터 3D 모델을 생성합니다. 이미지를 처리하여 API로 전송한 후, 생성된 3D 모델 파일을 GLB 및 OBJ 형식과 함께 선택적 텍스처 맵으로 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 사용할 Hunyuan3D 모델의 버전입니다. `3.1` 모델에서는 LowPoly 옵션을 사용할 수 없습니다. | COMBO | 예 | `"3.0"`
`"3.1"` | +| `이미지` | 3D 모델을 생성하는 데 사용되는 기본 입력 이미지입니다. 최소 128x128 픽셀이어야 합니다. | IMAGE | 예 | - | +| `왼쪽 이미지` | 다중 뷰 생성을 위한 객체 왼쪽 측면의 선택적 이미지입니다. 최소 128x128 픽셀이어야 합니다. | IMAGE | 아니요 | - | +| `오른쪽 이미지` | 다중 뷰 생성을 위한 객체 오른쪽 측면의 선택적 이미지입니다. 최소 128x128 픽셀이어야 합니다. | IMAGE | 아니요 | - | +| `뒷면 이미지` | 다중 뷰 생성을 위한 객체 뒷면의 선택적 이미지입니다. 최소 128x128 픽셀이어야 합니다. | IMAGE | 아니요 | - | +| `면 개수` | 생성된 3D 모델의 목표 면 수입니다(기본값: 500000). | INT | 예 | 3000 - 1500000 | +| `생성 유형` | 생성할 3D 모델의 유형입니다. 옵션을 선택하면 추가 관련 매개변수가 표시됩니다. | DYNAMICCOMBO | 예 | `"Normal"`
`"LowPoly"`
`"Geometry"` | +| `generate_type.pbr` | 물리 기반 렌더링(PBR) 재질 생성을 활성화합니다. 이 매개변수는 `생성 유형`이 "Normal" 또는 "LowPoly"로 설정된 경우에만 표시됩니다(기본값: False). | BOOLEAN | 아니요 | - | +| `generate_type.polygon_type` | 메시에 사용할 폴리곤 유형입니다. 이 매개변수는 `생성 유형`이 "LowPoly"로 설정된 경우에만 표시됩니다. | COMBO | 아니요 | `"triangle"`
`"quadrilateral"` | +| `시드` | 생성 프로세스의 시드 값입니다. 시드는 노드 재실행 여부를 제어하며, 시드와 관계없이 결과는 비결정적입니다(기본값: 0). | INT | 예 | 0 - 2147483647 | + +**참고:** 모든 입력 이미지의 최소 너비와 높이는 128픽셀이어야 합니다. 이미지의 가장 긴 변이 4900픽셀을 초과하면 자동으로 축소됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `GLB` | 이전 버전과의 호환성을 위한 레거시 출력입니다. | STRING | +| `OBJ` | GLB(Binary GL Transmission Format) 파일 형식으로 생성된 3D 모델입니다. | FILE3DGLB | +| `texture_image` | OBJ(Wavefront) 파일 형식으로 생성된 3D 모델입니다. | FILE3DOBJ | +| `optional_metallic` | 생성된 3D 모델의 텍스처 이미지입니다. | IMAGE | +| `optional_normal` | PBR 재질의 메탈릭 맵입니다. 사용할 수 없는 경우 검은색 이미지를 반환합니다. | IMAGE | +| `optional_roughness` | PBR 재질의 노멀 맵입니다. 사용할 수 없는 경우 검은색 이미지를 반환합니다. | IMAGE | +| `optional_roughness` | PBR 재질의 러프니스 맵입니다. 사용할 수 없는 경우 검은색 이미지를 반환합니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentImageToModelNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `56ac9e55bd9bb3a5c7c46c2de1ea06921cf41c0971471f6d0b64166722705e4d` diff --git a/ko/built-in-nodes/TencentModelTo3DUVNode.mdx b/ko/built-in-nodes/TencentModelTo3DUVNode.mdx new file mode 100644 index 000000000..52992d31a --- /dev/null +++ b/ko/built-in-nodes/TencentModelTo3DUVNode.mdx @@ -0,0 +1,30 @@ +--- +title: "TencentModelTo3DUVNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TencentModelTo3DUVNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TencentModelTo3DUVNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md) + +이 노드는 Tencent Hunyuan3D API를 사용하여 3D 모델에 UV 전개를 수행합니다. 3D 모델 파일을 입력으로 받아 API로 전송하여 처리한 후, 처리된 모델을 OBJ 및 FBX 형식과 함께 생성된 UV 텍스처 이미지를 반환합니다. 입력 모델의 면 수는 30,000개 미만이어야 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `3D 모델` | 입력 3D 모델(GLB, OBJ 또는 FBX)입니다. 모델의 면 수는 30,000개 미만이어야 합니다. | FILE3D | 예 | GLB
OBJ
FBX | +| `시드` | 시드 값(기본값: 1)입니다. 이 값은 노드 재실행 여부를 제어하지만, 시드 값과 관계없이 결과는 비결정적입니다. | INT | 아니요 | 0 ~ 2147483647 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `FBX` | OBJ 형식으로 처리된 3D 모델 파일입니다. | FILE3D | +| `uv_image` | FBX 형식으로 처리된 3D 모델 파일입니다. | FILE3D | +| `uv_image` | 생성된 UV 텍스처 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `16bf094cfc3146e9d302d73862d2080b94c5aa2d575221d3c8316a3cf69fc5e1` diff --git a/ko/built-in-nodes/TencentSmartTopologyNode.mdx b/ko/built-in-nodes/TencentSmartTopologyNode.mdx new file mode 100644 index 000000000..8e7dd7dca --- /dev/null +++ b/ko/built-in-nodes/TencentSmartTopologyNode.mdx @@ -0,0 +1,32 @@ +--- +title: "TencentSmartTopologyNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TencentSmartTopologyNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TencentSmartTopologyNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentSmartTopologyNode/en.md) + +이 노드는 3D 모델에 대해 스마트 리토폴로지를 수행하여 최적화된 폴리곤 수로 새롭고 깔끔한 메시를 자동으로 생성합니다. Tencent Hunyuan 3D API에 연결하여 모델을 처리하며, 최대 200MB까지의 GLB 및 OBJ 파일 형식을 지원합니다. 이 노드는 처리된 모델을 OBJ 파일로 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `3D 모델` | 입력 3D 모델(GLB 또는 OBJ). 파일은 GLB 또는 OBJ 형식이어야 하며 200MB를 초과할 수 없습니다. | FILE3D | 예 | - | +| `폴리곤 유형` | 표면 구성 유형입니다. | STRING | 예 | `"triangle"`
`"quadrilateral"` | +| `면 수준` | 폴리곤 축소 수준입니다. | STRING | 예 | `"medium"`
`"high"`
`"low"` | +| `시드` | 시드는 노드 재실행 여부를 제어하며, 시드와 관계없이 결과는 비결정적입니다. (기본값: 0) | INT | 아니요 | 0 ~ 2147483647 | + +**참고:** `seed` 매개변수는 노드 재실행을 트리거하는 데 사용되지만, 동일한 시드 값에 대해 최종 출력이 동일하다고 보장되지는 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `OBJ` | 최적화된 토폴로지가 적용된 처리된 3D 모델로, OBJ 형식으로 반환됩니다. | FILE3D | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentSmartTopologyNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `13c2dce5f5fbc46a505d0366d8da1c4e762d3a64d11fae1bcceebd510b273f62` diff --git a/ko/built-in-nodes/TencentTextToModelNode.mdx b/ko/built-in-nodes/TencentTextToModelNode.mdx new file mode 100644 index 000000000..2d4e68bc2 --- /dev/null +++ b/ko/built-in-nodes/TencentTextToModelNode.mdx @@ -0,0 +1,38 @@ +--- +title: "TencentTextToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TencentTextToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TencentTextToModelNode" +icon: "circle" +mode: wide +--- +이 문서는 AI로 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md) + +이 노드는 Tencent의 Hunyuan3D Pro API를 사용하여 텍스트 설명으로부터 3D 모델을 생성합니다. 생성 작업 요청을 전송하고, 결과를 폴링하며, 최종 모델 파일을 GLB 및 OBJ 형식으로 다운로드합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 사용할 Hunyuan3D 모델의 버전입니다. `3.1` 모델에서는 LowPoly 옵션을 사용할 수 없습니다. | COMBO | 예 | `"3.0"`
`"3.1"` | +| `프롬프트` | 생성할 3D 모델의 텍스트 설명입니다. 최대 1024자까지 지원합니다. | STRING | 예 | - | +| `면 개수` | 생성된 3D 모델의 목표 면 수입니다. 기본값: 500000. | INT | 예 | 3000 - 1500000 | +| `생성 유형` | 생성할 3D 모델의 유형입니다. 사용 가능한 옵션과 관련 매개변수는 다음과 같습니다:
- **Normal**: 표준 모델을 생성합니다. `pbr` 매개변수(기본값: `False`)를 포함합니다.
- **LowPoly**: 저폴리곤 모델을 생성합니다. `polygon_type`(`"triangle"` 또는 `"quadrilateral"`) 및 `pbr`(기본값: `False`) 매개변수를 포함합니다.
- **Geometry**: 지오메트리 전용 모델을 생성합니다. | DYNAMICCOMBO | 예 | `"Normal"`
`"LowPoly"`
`"Geometry"` | +| `시드` | 생성을 위한 시드 값입니다. 시드와 관계없이 결과는 비결정적입니다. 새 시드를 설정하면 노드가 다시 실행되어야 하는지 여부를 제어합니다. 기본값: 0. | INT | 아니요 | 0 - 2147483647 | + +**참고:** `generate_type` 매개변수는 동적입니다. `"LowPoly"`를 선택하면 `polygon_type` 및 `pbr`에 대한 추가 입력이 표시됩니다. `"Normal"`을 선택하면 `pbr`에 대한 입력이 표시됩니다. `"Geometry"`를 선택하면 추가 입력이 표시되지 않습니다. + +**제약 사항:** `"LowPoly"` 생성 유형은 `"3.1"` 모델과 함께 사용할 수 없습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `GLB` | 이전 버전과의 호환성을 위한 레거시 출력입니다. | STRING | +| `OBJ` | GLB 파일 형식으로 생성된 3D 모델입니다. | FILE3DGLB | +| `texture_image` | OBJ 파일 형식으로 생성된 3D 모델입니다. | FILE3DOBJ | +| `texture_image` | 생성된 OBJ 파일에서 추출한 텍스처 이미지입니다(사용 가능한 경우). | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentTextToModelNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `e35f5165941cc7761639dd72e78141326d37d5e169be9a0e326afcbcdc572b7d` diff --git a/ko/built-in-nodes/TerminalLog.mdx b/ko/built-in-nodes/TerminalLog.mdx new file mode 100644 index 000000000..74603ab56 --- /dev/null +++ b/ko/built-in-nodes/TerminalLog.mdx @@ -0,0 +1,11 @@ +--- +title: "TerminalLog - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TerminalLog node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TerminalLog" +icon: "circle" +mode: wide +--- +**터미널 로그 (관리자)** 노드는 주로 ComfyUI 인터페이스 내에서 터미널에 표시되는 ComfyUI의 실행 정보를 표시하는 데 사용됩니다. 사용하려면 `mode`를 **로깅** 모드로 설정해야 합니다. 이렇게 하면 이미지 생성 작업 중에 해당 로그 정보를 기록할 수 있습니다. `mode`가 **중지** 모드로 설정되면 로그 정보를 기록하지 않습니다. +원격 연결이나 근거리 통신망 연결을 통해 ComfyUI에 접속하여 사용할 때, 터미널 로그 (관리자) 노드는 특히 유용합니다. 이 노드를 사용하면 ComfyUI 인터페이스 내에서 CMD의 오류 메시지를 직접 확인할 수 있어 ComfyUI 작동의 현재 상태를 더 쉽게 파악할 수 있습니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TerminalLog/ko.md) diff --git a/ko/built-in-nodes/TextEncodeAceStepAudio.mdx b/ko/built-in-nodes/TextEncodeAceStepAudio.mdx new file mode 100644 index 000000000..bd838b889 --- /dev/null +++ b/ko/built-in-nodes/TextEncodeAceStepAudio.mdx @@ -0,0 +1,28 @@ +--- +title: "TextEncodeAceStepAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextEncodeAceStepAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TextEncodeAceStepAudio" +icon: "circle" +mode: wide +--- +TextEncodeAceStepAudio 노드는 태그와 가사를 토큰으로 결합한 후 조정 가능한 가사 강도로 인코딩하여 오디오 컨디셔닝을 위한 텍스트 입력을 처리합니다. 이 노드는 CLIP 모델과 텍스트 설명 및 가사를 입력받아 함께 토큰화하고, 오디오 생성 작업에 적합한 컨디셔닝 데이터를 생성합니다. 최종 출력에 대한 가사의 영향을 제어하는 강도 매개변수를 통해 가사의 영향력을 미세 조정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 토큰화 및 인코딩에 사용되는 CLIP 모델 | CLIP | 예 | - | +| `태그` | 오디오 컨디셔닝을 위한 텍스트 태그 또는 설명 (여러 줄 입력 및 동적 프롬프트 지원) | STRING | 예 | - | +| `가사` | 오디오 컨디셔닝을 위한 가사 텍스트 (여러 줄 입력 및 동적 프롬프트 지원) | STRING | 예 | - | +| `가사 강도` | 컨디셔닝 출력에 대한 가사의 영향 강도를 제어합니다 (기본값: 1.0, 단계: 0.01) | FLOAT | 아니요 | 0.0 - 10.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `conditioning` | 가사 강도가 적용된 처리된 텍스트 토큰을 포함하는 인코딩된 컨디셔닝 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `89600133d8b0edaa36958530dacffe812675b595b0d77db702bb7709567cd83d` diff --git a/ko/built-in-nodes/TextEncodeAceStepAudio1.5.mdx b/ko/built-in-nodes/TextEncodeAceStepAudio1.5.mdx new file mode 100644 index 000000000..d46157126 --- /dev/null +++ b/ko/built-in-nodes/TextEncodeAceStepAudio1.5.mdx @@ -0,0 +1,39 @@ +--- +title: "TextEncodeAceStepAudio1.5 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextEncodeAceStepAudio1.5 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TextEncodeAceStepAudio1.5" +icon: "circle" +mode: wide +--- +TextEncodeAceStepAudio1.5 노드는 AceStepAudio 1.5 모델과 함께 사용하기 위해 텍스트 및 오디오 관련 메타데이터를 준비합니다. 설명 태그, 가사 및 음악 매개변수를 입력받은 후 CLIP 모델을 사용하여 오디오 생성에 적합한 컨디셔닝 형식으로 변환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 입력 텍스트를 토큰화하고 인코딩하는 데 사용되는 CLIP 모델입니다. | CLIP | 예 | 해당 없음 | +| `tags` | 장르, 분위기 또는 악기 등 오디오에 대한 설명 태그입니다. 여러 줄 입력 및 동적 프롬프트를 지원합니다. | STRING | 예 | 해당 없음 | +| `lyrics` | 오디오 트랙의 가사입니다. 여러 줄 입력 및 동적 프롬프트를 지원합니다. | STRING | 예 | 해당 없음 | +| `seed` | 재현 가능한 생성을 위한 무작위 시드 값입니다. 생성 후 제어 위젯이 있습니다. 기본값: 0. | INT | 아니요 | 0 ~ 18446744073709551615 | +| `bpm` | 생성된 오디오의 분당 비트 수(BPM)입니다. 기본값: 120. | INT | 아니요 | 10 ~ 300 | +| `duration` | 원하는 오디오 길이(초)입니다. 기본값: 120.0. | FLOAT | 아니요 | 0.0 ~ 2000.0 | +| `timesignature` | 음악적 박자표입니다. | COMBO | 아니요 | `"2"`
`"3"`
`"4"`
`"6"` | +| `language` | 입력 텍스트의 언어입니다. 기본값: "en". | COMBO | 아니요 | `"ar"`
`"az"`
`"bg"`
`"bn"`
`"ca"`
`"cs"`
`"da"`
`"de"`
`"el"`
`"en"`
`"es"`
`"fa"`
`"fi"`
`"fr"`
`"he"`
`"hi"`
`"hr"`
`"ht"`
`"hu"`
`"id"`
`"is"`
`"it"`
`"ja"`
`"ko"`
`"la"`
`"lt"`
`"ms"`
`"ne"`
`"nl"`
`"no"`
`"pa"`
`"pl"`
`"pt"`
`"ro"`
`"ru"`
`"sa"`
`"sk"`
`"sr"`
`"sv"`
`"sw"`
`"ta"`
`"te"`
`"th"`
`"tl"`
`"tr"`
`"uk"`
`"ur"`
`"vi"`
`"yue"`
`"zh"`
`"unknown"` | +| `keyscale` | 음악적 조성과 스케일(장조 또는 단조)입니다. | COMBO | 아니요 | `"C major"`
`"C minor"`
`"C# major"`
`"C# minor"`
`"Db major"`
`"Db minor"`
`"D major"`
`"D minor"`
`"D# major"`
`"D# minor"`
`"Eb major"`
`"Eb minor"`
`"E major"`
`"E minor"`
`"F major"`
`"F minor"`
`"F# major"`
`"F# minor"`
`"Gb major"`
`"Gb minor"`
`"G major"`
`"G minor"`
`"G# major"`
`"G# minor"`
`"Ab major"`
`"Ab minor"`
`"A major"`
`"A minor"`
`"A# major"`
`"A# minor"`
`"Bb major"`
`"Bb minor"`
`"B major"`
`"B minor"` | +| `generate_audio_codes` | 오디오 코드를 생성하는 LLM을 활성화합니다. 속도는 느릴 수 있지만 생성된 오디오의 품질이 향상됩니다. 모델에 오디오 참조를 제공하는 경우 이 기능을 끄십시오. 기본값: True. | BOOLEAN | 아니요 | 해당 없음 | +| `cfg_scale` | 분류기 자유 안내 척도입니다. 값이 높을수록 출력이 프롬프트를 더욱 밀접하게 따릅니다. 기본값: 2.0. | FLOAT | 아니요 | 0.0 ~ 100.0 | +| `temperature` | 샘플링 온도입니다. 값이 낮을수록 출력이 더 결정론적입니다. 기본값: 0.85. | FLOAT | 아니요 | 0.0 ~ 2.0 | +| `top_p` | 핵 샘플링 확률(top-p)입니다. 기본값: 0.9. | FLOAT | 아니요 | 0.0 ~ 2000.0 | +| `top_k` | 고려할 가장 높은 확률의 토큰 수(top-k)입니다. 기본값: 0. | INT | 아니요 | 0 ~ 100 | +| `min_p` | 토큰 샘플링을 위한 최소 확률 임계값(min-p)입니다. 기본값: 0.000. | FLOAT | 아니요 | 0.0 ~ 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | AceStepAudio 1.5 모델에 대한 인코딩된 텍스트 및 오디오 매개변수가 포함된 컨디셔닝 데이터입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio1.5/ko.md) + +--- +**Source fingerprint (SHA-256):** `df70a55024812d8c77a3b618cbff6d3148a3f3f5fc4d17dd3c4282ce7f3cbc2c` diff --git a/ko/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx b/ko/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx new file mode 100644 index 000000000..0e0864c04 --- /dev/null +++ b/ko/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx @@ -0,0 +1,28 @@ +--- +title: "TextEncodeHunyuanVideo_ImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextEncodeHunyuanVideo_ImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TextEncodeHunyuanVideo_ImageToVideo" +icon: "circle" +mode: wide +--- +TextEncodeHunyuanVideo_ImageToVideo 노드는 텍스트 프롬프트와 이미지 임베딩을 결합하여 비디오 생성을 위한 컨디셔닝 데이터를 생성합니다. CLIP 모델을 사용하여 텍스트 입력과 CLIP 비전 출력의 시각적 정보를 모두 처리한 후, 지정된 이미지 인터리브 설정에 따라 이 두 소스를 혼합한 토큰을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `클립` | 토큰화 및 인코딩에 사용되는 CLIP 모델 | CLIP | 예 | - | +| `clip_vision 출력` | 이미지 컨텍스트를 제공하는 CLIP 비전 모델의 시각적 임베딩 | CLIP_VISION_OUTPUT | 예 | - | +| `프롬프트` | 비디오 생성을 안내하는 텍스트 설명으로, 여러 줄 입력 및 동적 프롬프트를 지원합니다 | STRING | 예 | - | +| `이미지 인터리브` | 텍스트 프롬프트 대비 이미지가 결과에 미치는 영향도를 조절합니다. 값이 높을수록 텍스트 프롬프트의 영향력이 커집니다. (기본값: 2) | INT | 예 | 1-512 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 비디오 생성을 위해 텍스트와 이미지 정보를 결합한 컨디셔닝 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `ee748bd1fb1733593eb4cb1187c5cc279171163cfbc389f039378d0e366fc231` diff --git a/ko/built-in-nodes/TextEncodeQwenImageEdit.mdx b/ko/built-in-nodes/TextEncodeQwenImageEdit.mdx new file mode 100644 index 000000000..e39f6419c --- /dev/null +++ b/ko/built-in-nodes/TextEncodeQwenImageEdit.mdx @@ -0,0 +1,32 @@ +--- +title: "TextEncodeQwenImageEdit - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextEncodeQwenImageEdit node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TextEncodeQwenImageEdit" +icon: "circle" +mode: wide +--- +# TextEncodeQwenImageEdit 노드 + +TextEncodeQwenImageEdit 노드는 텍스트 프롬프트와 선택적 이미지를 처리하여 이미지 생성 또는 편집을 위한 컨디셔닝 데이터를 생성합니다. CLIP 모델을 사용하여 입력을 토큰화하며, VAE를 사용하여 참조 이미지를 인코딩하여 참조 잠재 변수를 생성할 수 있습니다. 이미지가 제공되면 일관된 처리 차원을 유지하기 위해 자동으로 크기가 조정됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 텍스트 및 이미지 토큰화에 사용되는 CLIP 모델 | CLIP | 예 | - | +| `프롬프트` | 컨디셔닝 생성을 위한 텍스트 프롬프트, 여러 줄 입력 및 동적 프롬프트 지원 | STRING | 예 | - | +| `vae` | 참조 이미지를 잠재 변수로 인코딩하기 위한 선택적 VAE 모델 | VAE | 아니요 | - | +| `이미지` | 참조 또는 편집 목적의 선택적 입력 이미지 | IMAGE | 아니요 | - | + +**참고:** `image`와 `vae`가 모두 제공되면 노드는 이미지를 참조 잠재 변수로 인코딩하여 컨디셔닝 출력에 첨부합니다. 이미지는 약 1024x1024 픽셀의 일관된 처리 규모를 유지하기 위해 자동으로 크기가 조정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 이미지 생성을 위한 텍스트 토큰과 선택적 참조 잠재 변수를 포함하는 컨디셔닝 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEdit/ko.md) + +--- +**Source fingerprint (SHA-256):** `143af2c93aa56ace3594ecb257cac9dbaef2666665f3fb6dfd7a987cd2ea326f` diff --git a/ko/built-in-nodes/TextEncodeQwenImageEditPlus.mdx b/ko/built-in-nodes/TextEncodeQwenImageEditPlus.mdx new file mode 100644 index 000000000..b98dacf6c --- /dev/null +++ b/ko/built-in-nodes/TextEncodeQwenImageEditPlus.mdx @@ -0,0 +1,34 @@ +--- +title: "TextEncodeQwenImageEditPlus - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextEncodeQwenImageEditPlus node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TextEncodeQwenImageEditPlus" +icon: "circle" +mode: wide +--- +# TextEncodeQwenImageEditPlus 노드 + +TextEncodeQwenImageEditPlus 노드는 텍스트 프롬프트와 선택적 이미지를 처리하여 이미지 생성 또는 편집 작업을 위한 컨디셔닝 데이터를 생성합니다. 이 노드는 특수 템플릿을 사용하여 입력 이미지를 분석하고 텍스트 명령이 이미지를 어떻게 수정해야 하는지 이해한 후, 이 정보를 후속 생성 단계에서 사용할 수 있도록 인코딩합니다. 최대 3개의 입력 이미지를 처리할 수 있으며, VAE가 제공될 경우 선택적으로 참조 잠재값을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 토큰화 및 인코딩에 사용되는 CLIP 모델 | CLIP | 예 | - | +| `프롬프트` | 원하는 이미지 수정을 설명하는 텍스트 명령(여러 줄 입력 및 동적 프롬프트 지원) | STRING | 예 | - | +| `vae` | 입력 이미지에서 참조 잠재값을 생성하기 위한 선택적 VAE 모델 | VAE | 아니요 | - | +| `이미지1` | 분석 및 수정을 위한 첫 번째 선택적 입력 이미지 | IMAGE | 아니요 | - | +| `이미지2` | 분석 및 수정을 위한 두 번째 선택적 입력 이미지 | IMAGE | 아니요 | - | +| `이미지3` | 분석 및 수정을 위한 세 번째 선택적 입력 이미지 | IMAGE | 아니요 | - | + +**참고:** VAE가 제공되면 노드는 모든 입력 이미지에서 참조 잠재값을 생성합니다. 노드는 최대 3개의 이미지를 동시에 처리할 수 있습니다. 이미지는 시각-언어 처리를 위해 자동으로 384x384 픽셀로 크기가 조정되며, VAE 인코딩을 위해 8로 나누어 떨어지는 크기(대상 영역 1024x1024 픽셀)로 조정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 텍스트 토큰과 이미지 생성을 위한 선택적 참조 잠재값을 포함하는 인코딩된 컨디셔닝 데이터 | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/ko.md) + +--- +**Source fingerprint (SHA-256):** `54889d9a3b70e41d623020f3fd5e3c798c72799492c67a9efd99f543c88bb968` diff --git a/ko/built-in-nodes/TextEncodeZImageOmni.mdx b/ko/built-in-nodes/TextEncodeZImageOmni.mdx new file mode 100644 index 000000000..83d4d0489 --- /dev/null +++ b/ko/built-in-nodes/TextEncodeZImageOmni.mdx @@ -0,0 +1,36 @@ +--- +title: "TextEncodeZImageOmni - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextEncodeZImageOmni node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TextEncodeZImageOmni" +icon: "circle" +mode: wide +--- +# TextEncodeZImageOmni + +TextEncodeZImageOmni 노드는 텍스트 프롬프트와 선택적 참조 이미지를 이미지 생성 모델에 적합한 컨디셔닝 형식으로 인코딩하는 고급 컨디셔닝 노드입니다. 최대 3개의 이미지를 처리할 수 있으며, 선택적으로 비전 인코더 및/또는 VAE를 사용하여 이미지를 인코딩하여 참조 잠재 표현을 생성하고, 특정 템플릿 구조를 사용하여 이러한 시각적 참조를 텍스트 프롬프트와 통합합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 텍스트 프롬프트를 토큰화하고 인코딩하는 데 사용되는 CLIP 모델입니다. | CLIP | 예 | | +| `이미지 인코더` | 선택적 비전 인코더 모델입니다. 제공될 경우 입력 이미지를 인코딩하는 데 사용되며, 결과 임베딩이 컨디셔닝에 추가됩니다. | CLIPVision | 아니요 | | +| `프롬프트` | 인코딩할 텍스트 프롬프트입니다. 이 필드는 여러 줄 입력과 동적 프롬프트를 지원합니다. | STRING | 예 | | +| `이미지 자동 크기 조정` | 활성화되면(기본값: True), 입력 이미지가 VAE로 인코딩되기 전에 픽셀 면적을 기준으로 자동으로 크기가 조정됩니다. | BOOLEAN | 아니요 | | +| `vae` | 선택적 VAE 모델입니다. 제공될 경우 입력 이미지를 잠재 표현으로 인코딩하는 데 사용되며, 참조 잠재 표현으로 컨디셔닝에 추가됩니다. | VAE | 아니요 | | +| `이미지1` | 첫 번째 선택적 참조 이미지입니다. | IMAGE | 아니요 | | +| `이미지2` | 두 번째 선택적 참조 이미지입니다. | IMAGE | 아니요 | | +| `이미지3` | 세 번째 선택적 참조 이미지입니다. | IMAGE | 아니요 | | + +**참고:** 이 노드는 최대 3개의 이미지(`image1`, `image2`, `image3`)를 허용합니다. `image_encoder`와 `vae` 입력은 최소 하나의 이미지가 제공된 경우에만 사용됩니다. `auto_resize_images`가 True이고 `vae`가 연결된 경우, 이미지는 인코딩 전에 총 픽셀 면적이 1024x1024에 가깝도록 크기가 조정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CONDITIONING` | 최종 컨디셔닝 출력입니다. 인코딩된 텍스트 프롬프트를 포함하며, 이미지가 제공된 경우 인코딩된 이미지 임베딩 및/또는 참조 잠재 표현을 포함할 수 있습니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeZImageOmni/ko.md) + +--- +**Source fingerprint (SHA-256):** `daa4205acdf72503180eeedb4142708d239d4ff0f689012a298264ae2d8ea949` diff --git a/ko/built-in-nodes/TextGenerate.mdx b/ko/built-in-nodes/TextGenerate.mdx new file mode 100644 index 000000000..5df85661f --- /dev/null +++ b/ko/built-in-nodes/TextGenerate.mdx @@ -0,0 +1,44 @@ +--- +title: "TextGenerate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextGenerate node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TextGenerate" +icon: "circle" +mode: wide +--- +# TextGenerate 노드 + +TextGenerate 노드는 CLIP 모델을 사용하여 사용자의 프롬프트를 기반으로 텍스트를 생성합니다. 선택적으로 이미지, 비디오 또는 오디오를 추가 컨텍스트로 사용하여 텍스트 생성을 안내할 수 있습니다. 출력 길이를 제어하고, 지원되는 모델의 경우 사고 모드를 활성화하며, 다양한 설정으로 무작위 샘플링을 사용할지 또는 샘플링 없이 텍스트를 생성할지 선택할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 프롬프트 토큰화 및 텍스트 생성에 사용되는 CLIP 모델입니다. | CLIP | 예 | 해당 없음 | +| `프롬프트` | 생성을 안내하는 텍스트 프롬프트입니다. 이 필드는 여러 줄과 동적 프롬프트를 지원합니다. 기본값은 빈 문자열입니다. | STRING | 예 | 해당 없음 | +| `이미지` | 텍스트 프롬프트와 함께 사용하여 생성된 텍스트에 영향을 줄 수 있는 선택적 이미지입니다. | IMAGE | 아니요 | 해당 없음 | +| `비디오` | 이미지 배치 형태의 비디오 프레임입니다. 24FPS로 가정되며 내부적으로 1FPS로 서브샘플링됩니다. | IMAGE | 아니요 | 해당 없음 | +| `오디오` | 텍스트 프롬프트와 함께 사용하여 생성된 텍스트에 영향을 줄 수 있는 선택적 오디오 입력입니다. | AUDIO | 아니요 | 해당 없음 | +| `최대 길이` | 모델이 생성할 최대 토큰 수입니다. 기본값은 256입니다. | INT | 예 | 1 ~ 2048 | +| `샘플링 모드` | 텍스트 생성 중 무작위 샘플링 사용 여부를 제어합니다. "on"으로 설정하면 샘플링 제어를 위한 추가 매개변수를 사용할 수 있습니다. 기본값은 "on"입니다. | COMBO | 예 | `"on"`
`"off"` | +| `생각 중` | 모델이 지원하는 경우 사고 모드로 작동합니다. 기본값은 False입니다. | BOOLEAN | 아니요 | True 또는 False | +| `use_default_template` | 모델에 내장 시스템 프롬프트/템플릿이 있는 경우 이를 사용합니다. 기본값은 True입니다. 고급 매개변수입니다. | BOOLEAN | 아니요 | True 또는 False | +| `temperature` | 출력의 무작위성을 제어합니다. 값이 낮을수록 출력이 더 예측 가능해지고, 값이 높을수록 더 창의적입니다. 이 매개변수는 `샘플링 모드`가 "on"일 때만 사용할 수 있습니다. 기본값은 0.7입니다. | FLOAT | 아니요 | 0.01 ~ 2.0 | +| `top_k` | 샘플링 풀을 상위 K개의 가장 가능성 높은 다음 토큰으로 제한합니다. 값이 0이면 이 필터가 비활성화됩니다. 이 매개변수는 `샘플링 모드`가 "on"일 때만 사용할 수 있습니다. 기본값은 64입니다. | INT | 아니요 | 0 ~ 1000 | +| `top_p` | 누핵 샘플링을 사용하여 누적 확률이 이 값보다 작은 토큰으로 선택을 제한합니다. 이 매개변수는 `샘플링 모드`가 "on"일 때만 사용할 수 있습니다. 기본값은 0.95입니다. | FLOAT | 아니요 | 0.0 ~ 1.0 | +| `min_p` | 토큰이 고려되기 위한 최소 확률 임계값을 설정합니다. 이 매개변수는 `샘플링 모드`가 "on"일 때만 사용할 수 있습니다. 기본값은 0.05입니다. | FLOAT | 아니요 | 0.0 ~ 1.0 | +| `repetition_penalty` | 이미 생성된 토큰에 패널티를 적용하여 반복을 줄입니다. 값이 1.0이면 패널티가 적용되지 않습니다. 이 매개변수는 `샘플링 모드`가 "on"일 때만 사용할 수 있습니다. 기본값은 1.05입니다. | FLOAT | 아니요 | 0.0 ~ 5.0 | +| `presence_penalty` | 지금까지 텍스트에 나타난 적이 있는지 여부에 따라 새 토큰에 패널티를 적용하여 모델이 새로운 주제에 대해 이야기하도록 유도합니다. 이 매개변수는 `샘플링 모드`가 "on"일 때만 사용할 수 있습니다. 기본값은 0.0입니다. | FLOAT | 아니요 | 0.0 ~ 5.0 | +| `seed` | 샘플링이 "on"일 때 재현 가능한 결과를 위해 난수 생성기를 초기화하는 데 사용되는 숫자입니다. 기본값은 0입니다. | INT | 아니요 | 0 ~ 18446744073709551615 | + +**참고:** `temperature`, `top_k`, `top_p`, `min_p`, `repetition_penalty`, `presence_penalty`, `seed` 매개변수는 `sampling_mode`가 "on"으로 설정된 경우에만 노드 인터페이스에서 활성화되고 표시됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `generated_text` | 입력 프롬프트와 선택적 이미지, 비디오 또는 오디오를 기반으로 모델이 생성한 텍스트입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerate/ko.md) + +--- +**Source fingerprint (SHA-256):** `dc6868bd7ebb63c485a4346113834f845416d7359759b2d428525398bdedf343` diff --git a/ko/built-in-nodes/TextGenerateLTX2Prompt.mdx b/ko/built-in-nodes/TextGenerateLTX2Prompt.mdx new file mode 100644 index 000000000..87d4d33e6 --- /dev/null +++ b/ko/built-in-nodes/TextGenerateLTX2Prompt.mdx @@ -0,0 +1,37 @@ +--- +title: "TextGenerateLTX2Prompt - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextGenerateLTX2Prompt node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TextGenerateLTX2Prompt" +icon: "circle" +mode: wide +--- +# TextGenerateLTX2Prompt 노드 + +TextGenerateLTX2Prompt 노드는 텍스트 생성 노드의 특수 버전입니다. 사용자의 텍스트 프롬프트를 받아 특정 시스템 명령어로 자동 서식을 지정한 후 언어 모델로 전송하여 개선 또는 완성합니다. 이 노드는 텍스트 전용 모드와 이미지 참조 모드, 두 가지 방식으로 작동할 수 있으며, 각 경우에 서로 다른 시스템 프롬프트를 사용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `clip` | 텍스트 인코딩에 사용되는 CLIP 모델입니다. | CLIP | 예 | | +| `프롬프트` | 개선 또는 완성될 사용자의 원시 텍스트 입력입니다. | STRING | 예 | | +| `최대 길이` | 언어 모델이 생성할 수 있는 최대 토큰 수입니다. | INT | 예 | | +| `샘플링 모드` | 텍스트 생성 중 다음 토큰을 선택하는 데 사용되는 샘플링 전략입니다. | COMBO | 예 | `"greedy"`
`"top_k"`
`"top_p"`
`"temperature"` | +| `이미지` | 선택적 입력 이미지입니다. 제공되면 노드는 이미지 컨텍스트를 위한 플레이스홀더가 포함된 다른 시스템 프롬프트를 사용합니다. | IMAGE | 아니요 | | +| `생각 중` | 활성화되면 모델이 최종 답변 전에 추론 과정을 출력합니다. | BOOLEAN | 아니요 | | +| `use_default_template` | 활성화되면 노드가 서식 지정에 기본 채팅 템플릿을 사용합니다. | BOOLEAN | 아니요 | | +| `비디오` | 생성 시 추가 컨텍스트로 사용할 수 있는 선택적 비디오 입력입니다. | VIDEO | 아니요 | | +| `오디오` | 생성 시 추가 컨텍스트로 사용할 수 있는 선택적 오디오 입력입니다. | AUDIO | 아니요 | | + +**참고:** 노드의 동작은 `image` 입력의 유무에 따라 변경됩니다. 이미지가 제공되면 생성된 프롬프트는 이미지-투-비디오 작업용으로 서식이 지정됩니다. 이미지가 제공되지 않으면 텍스트-투-비디오 작업용으로 서식이 지정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 언어 모델이 생성한 개선 또는 완성된 텍스트 문자열입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerateLTX2Prompt/ko.md) + +--- +**Source fingerprint (SHA-256):** `a3daa0a376a53b9c5613238092cc1289d4c358c7c74b12a6e311681de550d1f8` diff --git a/ko/built-in-nodes/TextToLowercase.mdx b/ko/built-in-nodes/TextToLowercase.mdx new file mode 100644 index 000000000..3b8fffb55 --- /dev/null +++ b/ko/built-in-nodes/TextToLowercase.mdx @@ -0,0 +1,25 @@ +--- +title: "TextToLowercase - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextToLowercase node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TextToLowercase" +icon: "circle" +mode: wide +--- +Text to Lowercase 노드는 텍스트 문자열을 입력받아 모든 문자를 소문자로 변환합니다. 텍스트 대소문자를 표준화하는 간단한 유틸리티입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `text` | 소문자로 변환할 텍스트 문자열입니다. | STRING | 예 | 모든 텍스트 문자열 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `text` | 모든 문자가 소문자로 변환된 입력 텍스트입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToLowercase/ko.md) + +--- +**Source fingerprint (SHA-256):** `840f5092d5c7c42f9e481614c276af1aac68a6323e41a0d57625f0d162c3a8ff` diff --git a/ko/built-in-nodes/TextToUppercase.mdx b/ko/built-in-nodes/TextToUppercase.mdx new file mode 100644 index 000000000..119b6b00f --- /dev/null +++ b/ko/built-in-nodes/TextToUppercase.mdx @@ -0,0 +1,25 @@ +--- +title: "TextToUppercase - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextToUppercase node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TextToUppercase" +icon: "circle" +mode: wide +--- +Text to Uppercase 노드는 텍스트 입력을 받아 모든 문자를 대문자로 변환합니다. 제공된 문자열의 대소문자를 변경하는 간단한 텍스트 처리 유틸리티입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `text` | 대문자로 변환할 텍스트 문자열입니다. | STRING | 예 | 해당 없음 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `text` | 모든 문자가 대문자로 변환된 결과 텍스트입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToUppercase/ko.md) + +--- +**Source fingerprint (SHA-256):** `180fa62fcd9171e1dafc140b175647e4b6eaaf9fc3dc39b183ae7cdb7de56543` diff --git a/ko/built-in-nodes/ThresholdMask.mdx b/ko/built-in-nodes/ThresholdMask.mdx new file mode 100644 index 000000000..adb0f8883 --- /dev/null +++ b/ko/built-in-nodes/ThresholdMask.mdx @@ -0,0 +1,26 @@ +--- +title: "ThresholdMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ThresholdMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ThresholdMask" +icon: "circle" +mode: wide +--- +ThresholdMask 노드는 임계값을 적용하여 마스크를 이진 마스크로 변환합니다. 입력 마스크의 각 픽셀을 지정된 임계값과 비교하여, 임계값을 초과하는 픽셀은 1(흰색)이 되고 임계값 이하인 픽셀은 0(검은색)이 되는 새 마스크를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `마스크` | 처리할 입력 마스크 | MASK | 예 | - | +| `값` | 이진화를 위한 임계값 (기본값: 0.5) | FLOAT | 예 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `마스크` | 임계값 적용 후 생성된 이진 마스크 | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ThresholdMask/ko.md) + +--- +**Source fingerprint (SHA-256):** `5c61433c05ef8106d928306b64035078e7598605512f20aaf992255f7b166456` diff --git a/ko/built-in-nodes/TomePatchModel.mdx b/ko/built-in-nodes/TomePatchModel.mdx new file mode 100644 index 000000000..8d09554bc --- /dev/null +++ b/ko/built-in-nodes/TomePatchModel.mdx @@ -0,0 +1,26 @@ +--- +title: "TomePatchModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TomePatchModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TomePatchModel" +icon: "circle" +mode: wide +--- +TomePatchModel 노드는 확산 모델에 토큰 병합(ToMe)을 적용하여 추론 중 계산 요구 사항을 줄입니다. 이는 어텐션 메커니즘에서 유사한 토큰을 선택적으로 병합하여 이미지 품질을 유지하면서 모델이 더 적은 토큰을 처리할 수 있도록 합니다. 이 기술은 품질 저하 없이 생성 속도를 높이는 데 도움을 줍니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 토큰 병합을 적용할 확산 모델 | MODEL | 예 | - | +| `비율` | 병합할 토큰의 비율 (기본값: 0.3) | FLOAT | 아니요 | 0.0 - 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 토큰 병합이 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TomePatchModel/ko.md) + +--- +**Source fingerprint (SHA-256):** `23d63ffa1b468a8a41533cc926125f4ef566b13edd1d95a6ef1ae63096a9d878` diff --git a/ko/built-in-nodes/TopazImageEnhance.mdx b/ko/built-in-nodes/TopazImageEnhance.mdx new file mode 100644 index 000000000..66f5cdbad --- /dev/null +++ b/ko/built-in-nodes/TopazImageEnhance.mdx @@ -0,0 +1,41 @@ +--- +title: "TopazImageEnhance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TopazImageEnhance node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TopazImageEnhance" +icon: "circle" +mode: wide +--- +# Topaz Image Enhance 노드 + +Topaz Image Enhance 노드는 업계 표준의 업스케일링 및 이미지 향상 기능을 제공합니다. 클라우드 기반 AI 모델을 사용하여 단일 입력 이미지를 처리하여 품질, 세부 묘사 및 해상도를 개선합니다. 이 노드는 창의적 가이드, 피사체 초점, 얼굴 보존 옵션을 포함하여 향상 과정을 세밀하게 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 이미지 향상에 사용할 AI 모델입니다. | COMBO | 예 | `"Reimagine"` | +| `image` | 향상시킬 입력 이미지입니다. 하나의 이미지만 지원됩니다. | IMAGE | 예 | - | +| `prompt` | 창의적 업스케일링 가이드를 위한 선택적 텍스트 프롬프트입니다(기본값: 비어 있음). | STRING | 아니요 | - | +| `subject_detection` | 이미지 향상이 초점을 맞출 부분을 제어합니다(기본값: "All"). | COMBO | 아니요 | `"All"`
`"Foreground"`
`"Background"` | +| `face_enhancement` | 이미지에 얼굴이 있는 경우 얼굴을 향상시키려면 활성화합니다(기본값: True). | BOOLEAN | 아니요 | - | +| `face_enhancement_creativity` | 얼굴 향상을 위한 창의성 수준을 설정합니다(기본값: 0.0). | FLOAT | 아니요 | 0.0 - 1.0 | +| `face_enhancement_strength` | 배경 대비 향상된 얼굴의 선명도를 제어합니다(기본값: 1.0). | FLOAT | 아니요 | 0.0 - 1.0 | +| `crop_to_fill` | 기본적으로 출력 종횡비가 다를 경우 이미지에 레터박스가 적용됩니다. 대신 이미지를 잘라서 출력 크기를 채우려면 활성화합니다(기본값: False). | BOOLEAN | 아니요 | - | +| `output_width` | 출력 이미지의 원하는 너비입니다. 0으로 설정하면 일반적으로 원본 크기나 `output_height`(지정된 경우)에 따라 자동으로 계산됩니다(기본값: 0). | INT | 아니요 | 0 - 32000 | +| `output_height` | 출력 이미지의 원하는 높이입니다. 0으로 설정하면 일반적으로 원본 크기나 `output_width`(지정된 경우)에 따라 자동으로 계산됩니다(기본값: 0). | INT | 아니요 | 0 - 32000 | +| `creativity` | 향상 과정의 전반적인 창의성 수준을 제어합니다(기본값: 3). | INT | 아니요 | 1 - 9 | +| `face_preservation` | 이미지 내 피사체의 얼굴 정체성을 보존합니다(기본값: True). | BOOLEAN | 아니요 | - | +| `color_preservation` | 입력 이미지의 원래 색상을 보존합니다(기본값: True). | BOOLEAN | 아니요 | - | + +**참고:** 이 노드는 단일 입력 이미지만 처리할 수 있습니다. 여러 이미지의 배치를 제공하면 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 향상된 출력 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazImageEnhance/ko.md) + +--- +**Source fingerprint (SHA-256):** `69f2c929f2cd11f13557e064e30a4514e3862e127a2bdb3a3f40ec92023f255d` diff --git a/ko/built-in-nodes/TopazVideoEnhance.mdx b/ko/built-in-nodes/TopazVideoEnhance.mdx new file mode 100644 index 000000000..1bb0303f0 --- /dev/null +++ b/ko/built-in-nodes/TopazVideoEnhance.mdx @@ -0,0 +1,42 @@ +--- +title: "TopazVideoEnhance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TopazVideoEnhance node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TopazVideoEnhance" +icon: "circle" +mode: wide +--- +# Topaz Video Enhance 노드 + +이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md) + +Topaz Video Enhance 노드는 외부 API를 사용하여 비디오 품질을 향상시킵니다. 비디오 해상도를 업스케일하고, 보간을 통해 프레임 속도를 높이며, 압축을 적용할 수 있습니다. 이 노드는 입력 MP4 비디오를 처리하고 선택한 설정에 따라 향상된 버전을 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `video` | 향상시킬 입력 비디오 파일입니다. | VIDEO | 예 | - | +| `upscaler_enabled` | 비디오 업스케일 기능을 활성화 또는 비활성화합니다 (기본값: True). | BOOLEAN | 예 | - | +| `upscaler_model` | 비디오 업스케일에 사용되는 AI 모델입니다. | COMBO | 예 | `"Starlight (Astra) Fast"`
`"Starlight (Astra) Creative"`
`"Starlight Precise 2.5"` | +| `upscaler_resolution` | 업스케일된 비디오의 대상 해상도입니다. | COMBO | 예 | `"FullHD (1080p)"`
`"4K (2160p)"` | +| `upscaler_creativity` | 창의성 수준입니다(Starlight (Astra) Creative에만 적용됨). (기본값: "low") | COMBO | 아니요 | `"low"`
`"middle"`
`"high"` | +| `interpolation_enabled` | 프레임 보간 기능을 활성화 또는 비활성화합니다 (기본값: False). | BOOLEAN | 아니요 | - | +| `interpolation_model` | 프레임 보간에 사용되는 모델입니다 (기본값: "apo-8"). | COMBO | 아니요 | `"apo-8"` | +| `interpolation_slowmo` | 입력 비디오에 적용되는 슬로우 모션 배율입니다. 예를 들어 2로 설정하면 출력 비디오가 두 배로 느려지고 재생 시간이 두 배로 늘어납니다. (기본값: 1) | INT | 아니요 | 1 ~ 16 | +| `interpolation_frame_rate` | 출력 프레임 속도입니다. (기본값: 60) | INT | 아니요 | 15 ~ 240 | +| `interpolation_duplicate` | 입력에서 중복 프레임을 분석하여 제거합니다. (기본값: False) | BOOLEAN | 아니요 | - | +| `interpolation_duplicate_threshold` | 중복 프레임 감지 민감도입니다. (기본값: 0.01) | FLOAT | 아니요 | 0.001 ~ 0.1 | +| `dynamic_compression_level` | CQP 수준입니다. (기본값: "Low") | COMBO | 아니요 | `"Low"`
`"Mid"`
`"High"` | + +**참고:** 최소한 하나의 향상 기능이 활성화되어야 합니다. `upscaler_enabled`와 `interpolation_enabled`가 모두 `False`로 설정된 경우 노드에서 오류가 발생합니다. 입력 비디오는 MP4 형식이어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `video` | 향상된 출력 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/ko.md) + +--- +**Source fingerprint (SHA-256):** `70e1a6e0d7bd250f58c43beefe070fd83af19d11ac08cb9a6ac9655a9bfa839f` diff --git a/ko/built-in-nodes/TopazVideoEnhanceV2.mdx b/ko/built-in-nodes/TopazVideoEnhanceV2.mdx new file mode 100644 index 000000000..81f595a48 --- /dev/null +++ b/ko/built-in-nodes/TopazVideoEnhanceV2.mdx @@ -0,0 +1,46 @@ +--- +title: "TopazVideoEnhanceV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TopazVideoEnhanceV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TopazVideoEnhanceV2" +icon: "circle" +mode: wide +--- +# Topaz Video Enhance V2 + +**Topaz Video Enhance V2** 노드는 Topaz Labs의 AI 모델을 사용하여 비디오를 업스케일링하고 향상시킬 수 있습니다. 해상도를 높이고, 보간을 통해 프레임 속도를 조정하며, 창의적이거나 사실적인 향상 효과를 적용하여 비디오 영상에 새로운 생명을 불어넣을 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `비디오` | 처리할 입력 비디오입니다. MP4 컨테이너 형식이어야 합니다. | VIDEO | 예 | - | +| `업스케일러 모델` | 비디오 업스케일링에 사용되는 AI 모델입니다. "Disabled"를 선택하면 업스케일링이 적용되지 않습니다. | COMBO | 예 | `"Astra 2"`
`"Starlight (Astra) Fast"`
`"Starlight (Astra) Creative"`
`"Starlight Precise 2.5"`
`"Disabled"` | +| `upscaler_model.upscaler_resolution` | 업스케일러의 대상 출력 해상도입니다. 업스케일러 모델이 선택된 경우("Disabled"가 아닌 경우) 이 매개변수가 필요합니다. | COMBO | 조건부 | `"FullHD (1080p)"`
`"4K (2160p)"` | +| `upscaler_model.creativity` | 업스케일의 창의적 강도입니다. "Astra 2" 및 "Starlight (Astra) Creative" 모델에서만 사용 가능합니다. Astra 2의 경우 슬라이더(기본값: 0.5)이며, Starlight Creative의 경우 콤보(기본값: "low")입니다. | FLOAT / COMBO | 조건부 | Astra 2: 0.0 ~ 1.0 (0.1 단위)
Starlight Creative: `"low"`
`"middle"`
`"high"` | +| `upscaler_model.prompt` | 선택적 설명(명령형이 아닌) 장면 프롬프트입니다. "Astra 2" 모델에서만 사용 가능합니다. 설정 시 500개의 입력 프레임(~30fps에서 약 15초)으로 제한됩니다. 기본값: 비어 있음. | STRING | 아니요 | - | +| `upscaler_model.sharp` | 사전 향상 선명도: 0.0=가우시안 블러, 0.5=통과(기본값), 1.0=USM 샤프닝입니다. "Astra 2" 모델에서만 사용 가능합니다. 기본값: 0.5. | FLOAT | 아니요 | 0.0 ~ 1.0 (0.01 단위) | +| `upscaler_model.realism` | 출력을 사진적 사실성으로 유도합니다. 모델 기본값을 사용하려면 0으로 두십시오. "Astra 2" 모델에서만 사용 가능합니다. 기본값: 0.0. | FLOAT | 아니요 | 0.0 ~ 1.0 (0.01 단위) | +| `보간 모델` | 프레임 보간에 사용되는 AI 모델입니다. "Disabled"를 선택하면 보간이 적용되지 않습니다. | COMBO | 예 | `"Disabled"`
`"apo-8"` | +| `interpolation_model.interpolation_frame_rate` | 출력 프레임 속도입니다. 보간 모델이 "apo-8"인 경우 필요합니다. 기본값: 60. | INT | 조건부 | 15 ~ 240 | +| `interpolation_model.interpolation_slowmo` | 입력 비디오에 적용되는 슬로우 모션 배율입니다. 예를 들어, 2를 설정하면 출력 속도가 절반으로 느려지고 재생 시간이 두 배가 됩니다. 기본값: 1. | INT | 아니요 | 1 ~ 16 | +| `interpolation_model.interpolation_duplicate` | 입력에서 중복 프레임을 분석하여 제거합니다. 기본값: False. | BOOLEAN | 아니요 | True/False | +| `interpolation_model.interpolation_duplicate_threshold` | 중복 프레임 감지 민감도입니다. 기본값: 0.01. | FLOAT | 아니요 | 0.001 ~ 0.1 (0.001 단위) | +| `동적 압축 레벨` | 비디오 압축을 위한 CQP 수준입니다. 기본값: "Low". | COMBO | 아니요 | `"Low"`
`"Mid"`
`"High"` | + +**중요 제약사항:** +- `upscaler_model` 또는 `interpolation_model` 중 하나 이상이 활성화되어야 합니다("Disabled"가 아니어야 함). 그렇지 않으면 오류가 발생합니다. +- 입력 비디오는 MP4 컨테이너 형식이어야 합니다. +- 프롬프트가 있는 "Astra 2" 모델은 500개의 입력 프레임(30fps에서 약 15초)으로 제한됩니다. 프롬프트가 없으면 더 많은 프레임으로 제한됩니다. +- `upscaler_model`이 "Disabled"가 아닌 경우, `upscaler_resolution` 하위 매개변수가 필요합니다. +- `interpolation_model`이 "Disabled"가 아닌 경우, `interpolation_frame_rate` 하위 매개변수가 필요합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오` | 선택한 업스케일링 및/또는 보간 필터를 적용한 후 향상된 비디오 출력입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/ko.md) + +--- +**Source fingerprint (SHA-256):** `29b7538206327c35866126c1862c1d1ccea872ba84fbb9c84126114a06e2b00f` diff --git a/ko/built-in-nodes/TorchCompileModel.mdx b/ko/built-in-nodes/TorchCompileModel.mdx new file mode 100644 index 000000000..54348ccde --- /dev/null +++ b/ko/built-in-nodes/TorchCompileModel.mdx @@ -0,0 +1,28 @@ +--- +title: "TorchCompileModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TorchCompileModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TorchCompileModel" +icon: "circle" +mode: wide +--- +# TorchCompileModel 노드 + +TorchCompileModel 노드는 PyTorch 컴파일을 모델에 적용하여 성능을 최적화합니다. 입력 모델의 복사본을 생성하고 지정된 백엔드를 사용하여 PyTorch의 컴파일 기능으로 감쌉니다. 이를 통해 추론 중 모델의 실행 속도를 향상시킬 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 컴파일 및 최적화할 모델 | MODEL | 예 | - | +| `백엔드` | 최적화에 사용할 PyTorch 컴파일 백엔드 (기본값: "inductor") | STRING | 예 | "inductor"
"cudagraphs" | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | PyTorch 컴파일이 적용된 컴파일된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TorchCompileModel/ko.md) + +--- +**Source fingerprint (SHA-256):** `923e71b528e6e53468916f74c2a02924bf51738f29e36638312c6da6357fcedb` diff --git a/ko/built-in-nodes/TrainLoraNode.mdx b/ko/built-in-nodes/TrainLoraNode.mdx new file mode 100644 index 000000000..05f33d982 --- /dev/null +++ b/ko/built-in-nodes/TrainLoraNode.mdx @@ -0,0 +1,57 @@ +--- +title: "TrainLoraNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TrainLoraNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TrainLoraNode" +icon: "circle" +mode: wide +--- +# TrainLoRA 노드 + +TrainLoRA 노드는 제공된 잠재 표현(latents)과 컨디셔닝 데이터를 사용하여 확산 모델에 대한 LoRA(저차원 적응) 모델을 생성하고 학습합니다. 사용자 정의 학습 매개변수, 최적화기 및 손실 함수를 사용하여 모델을 미세 조정할 수 있습니다. 이 노드는 학습된 LoRA 가중치, 손실 이력 맵 및 완료된 총 학습 단계 수를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | LoRA를 학습할 모델입니다. | MODEL | 예 | - | +| `잠재 변수` | 학습에 사용할 잠재 표현으로, 모델의 데이터셋/입력 역할을 합니다. | LATENT | 예 | - | +| `긍정 조건` | 학습에 사용할 긍정 컨디셔닝입니다. | CONDITIONING | 예 | - | +| `배치 크기` | 학습에 사용할 배치 크기입니다(기본값: 1). | INT | 예 | 1-10000 | +| `기울기 누적 단계 수` | 학습에 사용할 그래디언트 누적 단계 수입니다(기본값: 1). | INT | 예 | 1-1024 | +| `단계 수` | LoRA를 학습할 단계 수입니다(기본값: 16). | INT | 예 | 1-100000 | +| `학습률` | 학습에 사용할 학습률입니다(기본값: 0.0005). | FLOAT | 예 | 0.0000001-1.0 | +| `랭크` | LoRA 계층의 순위입니다(기본값: 8). | INT | 예 | 1-128 | +| `옵티마이저` | 학습에 사용할 최적화기입니다(기본값: "AdamW"). | COMBO | 예 | "AdamW"
"Adam"
"SGD"
"RMSprop" | +| `손실 함수` | 학습에 사용할 손실 함수입니다(기본값: "MSE"). | COMBO | 예 | "MSE"
"L1"
"Huber"
"SmoothL1" | +| `시드` | 학습에 사용할 시드입니다(LoRA 가중치 초기화 및 노이즈 샘플링을 위한 생성기에 사용됨)(기본값: 0). | INT | 예 | 0-18446744073709551615 | +| `훈련 데이터 타입` | 학습에 사용할 데이터 타입입니다. 'none'은 모델의 기본 계산 데이터 타입을 재정의하지 않고 유지합니다. fp16 모델의 경우 GradScaler가 자동으로 활성화됩니다(기본값: "bf16"). | COMBO | 예 | "bf16"
"fp32"
"none" | +| `LoRA 데이터 타입` | LoRA에 사용할 데이터 타입입니다(기본값: "bf16"). | COMBO | 예 | "bf16"
"fp32" | +| `quantized_backward` | training_dtype이 'none'이고 양자화된 모델에서 학습할 때, 활성화되면 역전파 시 양자화된 행렬 곱셈을 사용합니다(기본값: False). | BOOLEAN | 예 | - | +| `알고리즘` | 학습에 사용할 알고리즘입니다. | COMBO | 예 | 여러 옵션 사용 가능 | +| `기울기 체크포인팅` | 학습에 그래디언트 체크포인팅을 사용합니다(기본값: True). | BOOLEAN | 예 | - | +| `checkpoint_depth` | 그래디언트 체크포인팅의 깊이 수준입니다(기본값: 1). | INT | 예 | 1-5 | +| `offloading` | GPU 메모리 절약을 위해 학습 중 모델 가중치를 CPU로 오프로드합니다(기본값: False). | BOOLEAN | 예 | - | +| `기존 LoRA` | 추가할 기존 LoRA입니다. 새 LoRA의 경우 None으로 설정합니다(기본값: "[None]"). | COMBO | 예 | 여러 옵션 사용 가능 | +| `bucket_mode` | 해상도 버킷 모드를 활성화합니다. 활성화되면 ResolutionBucket 노드에서 사전 버킷팅된 잠재 표현을 필요로 합니다(기본값: False). | BOOLEAN | 예 | - | +| `bypass_mode` | 학습을 위한 우회 모드를 활성화합니다. 활성화되면 어댑터가 가중치 수정 대신 순방향 훅을 통해 적용됩니다. 가중치를 직접 수정할 수 없는 양자화된 모델에 유용합니다(기본값: False). | BOOLEAN | 예 | - | + +**참고:** 긍정 컨디셔닝 입력의 수는 잠재 이미지의 수와 일치해야 합니다. 여러 이미지에 대해 하나의 긍정 컨디셔닝만 제공된 경우, 모든 이미지에 대해 자동으로 반복됩니다. + +**`training_dtype` 참고:** "none"으로 설정하면 모델의 기본 계산 데이터 타입이 유지됩니다. fp16 모델의 경우 그래디언트 계산 중 언더플로를 방지하기 위해 GradScaler가 자동으로 활성화됩니다. `fp16_accumulation`도 활성화된 경우(`--fast` 플래그를 통해), 이 조합은 수치적으로 불안정하여 NaN 값을 유발할 수 있습니다. + +**`quantized_backward` 참고:** 이 매개변수는 `training_dtype`이 "none"으로 설정되고 모델이 양자화된 모델인 경우에만 관련됩니다. 역전파 중 양자화된 행렬 곱셈을 활성화합니다. + +**`bypass_mode` 참고:** 활성화되면 어댑터가 모델 가중치를 직접 수정하는 대신 순방향 훅을 통해 적용됩니다. 이는 가중치를 직접 수정할 수 없는 양자화된 모델에 특히 유용합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `손실 맵` | 저장하거나 다른 모델에 적용할 수 있는 학습된 LoRA 가중치입니다. | LORA_MODEL | +| `스텝` | 시간에 따른 학습 손실 값을 포함하는 사전입니다. | LOSS_MAP | +| `단계 수` | 완료된 총 학습 단계 수입니다(기존 LoRA의 이전 단계 포함). | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrainLoraNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `df315ef416ff3ce81e6a526af2c4e5115980e6c35830825967e7189d4f8541d8` diff --git a/ko/built-in-nodes/TransformSplat.mdx b/ko/built-in-nodes/TransformSplat.mdx new file mode 100644 index 000000000..365f1e5b5 --- /dev/null +++ b/ko/built-in-nodes/TransformSplat.mdx @@ -0,0 +1,36 @@ +--- +title: "TransformSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TransformSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TransformSplat" +icon: "circle" +mode: wide +--- +# Transform Splat + +Transform Splat 노드는 가우시안 스플랫에 이동, 회전 및 크기 조정 변환을 적용합니다. 전체 스플랫을 하나의 객체로 이동, 회전 및 크기 조정하며, 균일하지 않은 크기 조정이 적용될 경우 정확한 결과를 위해 각 개별 가우시안 스플랫의 형태도 함께 변형합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `splat` | 변환할 가우시안 스플랫 | SPLAT | 예 | - | +| `이동_x` | X축을 따른 이동 (기본값: 0.0) | FLOAT | 예 | -100.0 ~ 100.0 | +| `이동_y` | Y축을 따른 이동 (기본값: 0.0) | FLOAT | 예 | -100.0 ~ 100.0 | +| `이동_z` | Z축을 따른 이동 (기본값: 0.0) | FLOAT | 예 | -100.0 ~ 100.0 | +| `회전_x` | X축 기준 회전 각도 (기본값: 0.0) | FLOAT | 예 | -360.0 ~ 360.0 | +| `회전_y` | Y축 기준 회전 각도 (기본값: 0.0) | FLOAT | 예 | -360.0 ~ 360.0 | +| `회전_z` | Z축 기준 회전 각도 (기본값: 0.0) | FLOAT | 예 | -360.0 ~ 360.0 | +| `스케일_x` | X축 방향 크기 배율 (기본값: 1.0) | FLOAT | 예 | 0.01 ~ 100.0 | +| `스케일_y` | Y축 방향 크기 배율 (기본값: 1.0) | FLOAT | 예 | 0.01 ~ 100.0 | +| `스케일_z` | Z축 방향 크기 배율 (기본값: 1.0) | FLOAT | 예 | 0.01 ~ 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `splat` | 위치, 크기 및 회전이 업데이트된 변환된 가우시안 스플랫 | SPLAT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TransformSplat/ko.md) + +--- +**Source fingerprint (SHA-256):** `19e6a7da7b4f0d8c9674ead2d35d742df460576b01c4ab4108dd59a2d08dfcb0` diff --git a/ko/built-in-nodes/TrimAudioDuration.mdx b/ko/built-in-nodes/TrimAudioDuration.mdx new file mode 100644 index 000000000..af175da32 --- /dev/null +++ b/ko/built-in-nodes/TrimAudioDuration.mdx @@ -0,0 +1,31 @@ +--- +title: "TrimAudioDuration - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TrimAudioDuration node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TrimAudioDuration" +icon: "circle" +mode: wide +--- +# TrimAudioDuration (오디오 길이 자르기) + +TrimAudioDuration 노드를 사용하면 오디오 파일에서 특정 시간 구간을 잘라낼 수 있습니다. 자르기를 시작할 시점과 결과 오디오 클립의 길이를 지정할 수 있습니다. 이 노드는 시간 값을 오디오 프레임 위치로 변환하고 해당 오디오 파형 부분을 추출하는 방식으로 작동합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `오디오` | 자를 오디오 입력 | AUDIO | 예 | - | +| `시작 인덱스` | 시작 시간(초)이며, 음수 값을 사용하면 끝에서부터 계산합니다(초 미만 단위 지원). 기본값: 0.0 | FLOAT | 예 | -0xffffffffffffffff ~ 0xffffffffffffffff | +| `지속 시간` | 지속 시간(초). 기본값: 60.0 | FLOAT | 예 | 0.0 ~ 0xffffffffffffffff | + +**참고:** 시작 시간은 종료 시간보다 작아야 하며 오디오 길이 내에 있어야 합니다. 음수 시작 값은 오디오 끝에서부터 역방향으로 계산됩니다. 시작 시간이 음수인 경우 오디오 끝에서부터 프레임 위치로 변환됩니다. 시작 및 종료 프레임은 오디오 경계 내로 제한됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `오디오` | 지정된 시작 시간과 지속 시간으로 잘린 오디오 세그먼트 | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimAudioDuration/ko.md) + +--- +**Source fingerprint (SHA-256):** `695a9fe11fa086a317f94823e066688705e9f911cd6cfc5857596ff31dd539ed` diff --git a/ko/built-in-nodes/TrimVideoLatent.mdx b/ko/built-in-nodes/TrimVideoLatent.mdx new file mode 100644 index 000000000..cd68b2be3 --- /dev/null +++ b/ko/built-in-nodes/TrimVideoLatent.mdx @@ -0,0 +1,26 @@ +--- +title: "TrimVideoLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TrimVideoLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TrimVideoLatent" +icon: "circle" +mode: wide +--- +TrimVideoLatent 노드는 비디오 잠재 표현의 시작 부분에서 프레임을 제거합니다. 잠재 비디오 샘플을 입력받아 지정된 수의 프레임을 앞에서 잘라내고, 남은 비디오 부분을 반환합니다. 이를 통해 초기 프레임을 제거하여 비디오 시퀀스를 단축할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `샘플` | 자를 프레임이 포함된 입력 잠재 비디오 표현입니다 | LATENT | 예 | - | +| `자르기 양` | 비디오 시작 부분에서 제거할 프레임 수입니다 (기본값: 0) | INT | 예 | 0 ~ 99999 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 지정된 수의 프레임이 시작 부분에서 제거된, 잘린 잠재 비디오 표현입니다 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimVideoLatent/ko.md) + +--- +**Source fingerprint (SHA-256):** `7fd482533d1f63219565a3a25776173c77c419fbf5086015d42136f5bfdfbed2` diff --git a/ko/built-in-nodes/TripleCLIPLoader.mdx b/ko/built-in-nodes/TripleCLIPLoader.mdx new file mode 100644 index 000000000..67d765579 --- /dev/null +++ b/ko/built-in-nodes/TripleCLIPLoader.mdx @@ -0,0 +1,31 @@ +--- +title: "TripleCLIPLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripleCLIPLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripleCLIPLoader" +icon: "circle" +mode: wide +--- +# TripleCLIPLoader + +TripleCLIPLoader 노드는 세 가지 서로 다른 텍스트 인코더 모델을 동시에 로드하여 단일 CLIP 모델로 결합합니다. 이는 SD3 워크플로우에서 clip-l, clip-g, t5 모델을 함께 사용해야 하는 경우와 같이 여러 텍스트 인코더가 필요한 고급 텍스트 인코딩 시나리오에 유용합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `CLIP 파일명1` | 사용 가능한 텍스트 인코더 중에서 로드할 첫 번째 텍스트 인코더 모델 | STRING | 예 | 여러 옵션 사용 가능 | +| `CLIP 파일명2` | 사용 가능한 텍스트 인코더 중에서 로드할 두 번째 텍스트 인코더 모델 | STRING | 예 | 여러 옵션 사용 가능 | +| `CLIP 파일명3` | 사용 가능한 텍스트 인코더 중에서 로드할 세 번째 텍스트 인코더 모델 | STRING | 예 | 여러 옵션 사용 가능 | + +**참고:** 세 가지 텍스트 인코더 매개변수는 모두 시스템에서 사용 가능한 텍스트 인코더 모델 중에서 선택해야 합니다. 이 노드는 세 모델을 모두 로드하여 처리용 단일 CLIP 모델로 결합합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `CLIP` | 로드된 세 가지 텍스트 인코더를 모두 포함하는 결합된 CLIP 모델 | CLIP | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripleCLIPLoader/ko.md) + +--- +**Source fingerprint (SHA-256):** `7a9e61090d9d3b0a776d49006dddece08bc4b463b2acd0a9a0f808170ebde348` diff --git a/ko/built-in-nodes/TripoConversionNode.mdx b/ko/built-in-nodes/TripoConversionNode.mdx new file mode 100644 index 000000000..2f2f260de --- /dev/null +++ b/ko/built-in-nodes/TripoConversionNode.mdx @@ -0,0 +1,47 @@ +--- +title: "TripoConversionNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoConversionNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoConversionNode" +icon: "circle" +mode: wide +--- +# Tripo 변환 노드 + +TripoConversionNode는 Tripo API를 사용하여 3D 모델을 다양한 파일 형식 간에 변환합니다. 이 노드는 이전 Tripo 작업(모델 생성, 리깅 또는 리타겟팅)의 작업 ID를 받아 결과 모델을 다양한 내보내기 옵션과 함께 원하는 형식으로 변환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `원본 모델 작업 ID` | 이전 Tripo 작업(모델 생성, 리깅 또는 리타겟팅)의 작업 ID | MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID | 예 | MODEL_TASK_ID
RIG_TASK_ID
RETARGET_TASK_ID | +| `형식` | 변환된 3D 모델의 대상 파일 형식 | COMBO | 예 | GLTF
USDZ
FBX
OBJ
STL
3MF | +| `쿼드` | 삼각형을 사각형으로 변환할지 여부 (기본값: False) | BOOLEAN | 아니요 | True/False | +| `면 제한` | 출력 모델의 최대 면 수, 제한 없음은 -1 사용 (기본값: -1) | INT | 아니요 | -1 ~ 2000000 | +| `텍스처 크기` | 출력 텍스처의 픽셀 크기 (기본값: 4096) | INT | 아니요 | 128 ~ 4096 | +| `텍스처 형식` | 내보내는 텍스처의 형식 (기본값: JPEG) | COMBO | 아니요 | BMP
DPX
HDR
JPEG
OPEN_EXR
PNG
TARGA
TIFF
WEBP | +| `force_symmetry` | 모델에 대칭을 강제 적용할지 여부 (기본값: False) | BOOLEAN | 아니요 | True/False | +| `flatten_bottom` | 모델의 바닥을 평평하게 할지 여부 (기본값: False) | BOOLEAN | 아니요 | True/False | +| `flatten_bottom_threshold` | 바닥 평탄화 임계값 (기본값: 0.0) | FLOAT | 아니요 | 0.0 ~ 1.0 | +| `pivot_to_center_bottom` | 피벗 지점을 모델의 중앙 하단으로 이동할지 여부 (기본값: False) | BOOLEAN | 아니요 | True/False | +| `scale_factor` | 모델에 적용할 배율 (기본값: 1.0) | FLOAT | 아니요 | 0.0 이상 | +| `with_animation` | 내보내기에 애니메이션 데이터를 포함할지 여부 (기본값: False) | BOOLEAN | 아니요 | True/False | +| `pack_uv` | UV 좌표를 패킹할지 여부 (기본값: False) | BOOLEAN | 아니요 | True/False | +| `bake` | 텍스처를 베이크할지 여부 (기본값: False) | BOOLEAN | 아니요 | True/False | +| `part_names` | 내보내기에 포함할 부품 이름의 쉼표로 구분된 목록 (기본값: "") | STRING | 아니요 | 쉼표로 구분된 목록 | +| `fbx_preset` | 사용할 FBX 내보내기 프리셋 (기본값: blender) | COMBO | 아니요 | blender
mixamo
3dsmax | +| `export_vertex_colors` | 정점 색상을 내보낼지 여부 (기본값: False) | BOOLEAN | 아니요 | True/False | +| `export_orientation` | 내보내기 방향 모드 (기본값: default) | COMBO | 아니요 | align_image
default | +| `animate_in_place` | 모델을 제자리에서 애니메이션할지 여부 (기본값: False) | BOOLEAN | 아니요 | True/False | + +**참고:** `original_model_task_id`는 이전 Tripo 작업(모델 생성, 리깅 또는 리타겟팅)의 유효한 작업 ID여야 합니다. "고급"으로 표시된 매개변수는 선택 사항이며 특정 내보내기 요구 사항이 있을 때만 구성하면 됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| *명명된 출력 없음* | 이 노드는 변환을 비동기적으로 처리하며 Tripo API 시스템을 통해 결과를 반환합니다 | - | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoConversionNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `b11ecab98701b7153a350f5e4980ddc2f446c0a12be3402ca98a5e6de60bd7ce` diff --git a/ko/built-in-nodes/TripoImageToModelNode.mdx b/ko/built-in-nodes/TripoImageToModelNode.mdx new file mode 100644 index 000000000..9952e1b8a --- /dev/null +++ b/ko/built-in-nodes/TripoImageToModelNode.mdx @@ -0,0 +1,43 @@ +--- +title: "TripoImageToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoImageToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoImageToModelNode" +icon: "circle" +mode: wide +--- +# Tripo 이미지-3D 모델 노드 + +Tripo의 API를 사용하여 단일 이미지를 기반으로 3D 모델을 동기식으로 생성합니다. 이 노드는 입력 이미지를 받아 텍스처, 품질 및 모델 속성에 대한 다양한 사용자 지정 옵션과 함께 3D 모델로 변환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 3D 모델을 생성하는 데 사용되는 입력 이미지 | IMAGE | 예 | - | +| `모델 버전` | 생성에 사용할 Tripo 모델 버전 | COMBO | 아니요 | 여러 옵션 사용 가능 | +| `스타일` | 생성된 모델의 스타일 설정 (기본값: "None") | COMBO | 아니요 | 여러 옵션 사용 가능 | +| `텍스처` | 모델에 텍스처를 생성할지 여부 (기본값: True) | BOOLEAN | 아니요 | - | +| `PBR` | 물리 기반 렌더링 사용 여부 (기본값: True) | BOOLEAN | 아니요 | - | +| `모델 시드` | 모델 생성을 위한 난수 시드 (기본값: 42) | INT | 아니요 | - | +| `방향` | 생성된 모델의 방향 설정 | COMBO | 아니요 | 여러 옵션 사용 가능 | +| `텍스처 시드` | 텍스처 생성을 위한 난수 시드 (기본값: 42) | INT | 아니요 | - | +| `텍스처 품질` | 텍스처 생성 품질 수준 (기본값: "standard") | COMBO | 아니요 | "standard"
"detailed" | +| `텍스처 정렬` | 텍스처 매핑 정렬 방법 (기본값: "original_image") | COMBO | 아니요 | "original_image"
"geometry" | +| `얼굴 제한` | 생성된 모델의 최대 면 수, -1은 제한 없음 (기본값: -1) | INT | 아니요 | -1 ~ 500000 | +| `쿼드` | 삼각형 대신 사각형 면 사용 여부 (기본값: False) | BOOLEAN | 아니요 | - | +| `geometry_quality` | 지오메트리 생성 품질 수준 (기본값: "standard") | COMBO | 아니요 | "standard"
"detailed" | + +**참고:** `image` 매개변수는 필수이며 노드가 작동하려면 반드시 제공되어야 합니다. 이미지가 제공되지 않으면 노드에서 RuntimeError가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델 task_id` | 생성된 3D 모델 파일 (하위 호환성 전용) | STRING | +| `GLB` | 모델 생성 과정 추적을 위한 작업 ID | MODEL_TASK_ID | +| `GLB` | GLB 형식으로 생성된 3D 모델 | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoImageToModelNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `1342de2f9788fac504fa0cfa248d011c04a8874307bb26dac86a7ced43a2809e` diff --git a/ko/built-in-nodes/TripoMultiviewToModelNode.mdx b/ko/built-in-nodes/TripoMultiviewToModelNode.mdx new file mode 100644 index 000000000..ecde56a16 --- /dev/null +++ b/ko/built-in-nodes/TripoMultiviewToModelNode.mdx @@ -0,0 +1,45 @@ +--- +title: "TripoMultiviewToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoMultiviewToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoMultiviewToModelNode" +icon: "circle" +mode: wide +--- +이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! + +이 노드는 Tripo의 API를 사용하여 객체의 여러 뷰를 보여주는 최대 4개의 이미지를 처리하여 3D 모델을 동기식으로 생성합니다. 완전한 3D 모델을 만들기 위해 정면 이미지와 최소 하나의 추가 뷰(왼쪽, 뒤 또는 오른쪽)가 필요하며, 텍스처 및 재질 옵션을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 객체의 정면 뷰 이미지 (필수) | IMAGE | 예 | - | +| `왼쪽 이미지` | 객체의 왼쪽 뷰 이미지 | IMAGE | 아니요 | - | +| `뒷면 이미지` | 객체의 뒤쪽 뷰 이미지 | IMAGE | 아니요 | - | +| `오른쪽 이미지` | 객체의 오른쪽 뷰 이미지 | IMAGE | 아니요 | - | +| `모델 버전` | 생성에 사용할 모델 버전 | COMBO | 아니요 | 여러 옵션 사용 가능 | +| `방향` | 3D 모델의 방향 설정 (기본값: "default") | COMBO | 아니요 | 여러 옵션 사용 가능 | +| `텍스처` | 모델에 텍스처를 생성할지 여부 (기본값: True) | BOOLEAN | 아니요 | - | +| `PBR` | PBR(물리 기반 렌더링) 재질을 생성할지 여부 (기본값: True) | BOOLEAN | 아니요 | - | +| `모델 시드` | 모델 생성을 위한 무작위 시드 (기본값: 42) | INT | 아니요 | - | +| `텍스처 시드` | 텍스처 생성을 위한 무작위 시드 (기본값: 42) | INT | 아니요 | - | +| `텍스처 품질` | 텍스처 생성 품질 수준 (기본값: "standard") | COMBO | 아니요 | `"standard"`
`"detailed"` | +| `텍스처 정렬` | 텍스처를 모델에 정렬하는 방법 (기본값: "original_image") | COMBO | 아니요 | `"original_image"`
`"geometry"` | +| `얼굴 제한` | 생성된 모델의 최대 면 수. 제한 없음은 -1로 설정 (기본값: -1) | INT | 아니요 | -1 ~ 500000 | +| `쿼드` | 이 매개변수는 더 이상 사용되지 않으며 아무 기능도 하지 않습니다 (기본값: False) | BOOLEAN | 아니요 | - | +| `geometry_quality` | 지오메트리 생성 품질 수준 (기본값: "standard") | COMBO | 아니요 | `"standard"`
`"detailed"` | + +**참고:** 정면 이미지(`image`)는 항상 필수입니다. 다중 뷰 처리를 위해 최소 하나의 추가 뷰 이미지(`image_left`, `image_back` 또는 `image_right`)를 제공해야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델 task_id` | 생성된 3D 모델의 파일 경로 또는 식별자 (하위 호환성 전용) | STRING | +| `GLB` | 모델 생성 과정 추적을 위한 작업 식별자 | MODEL_TASK_ID | +| `GLB` | GLB 형식으로 생성된 3D 모델 파일 | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `4ad433f4a0060d0ac2ce14463497db3168a1bf3348f17b98e958409e9a63baaf` diff --git a/ko/built-in-nodes/TripoP1ImageToModelNode.mdx b/ko/built-in-nodes/TripoP1ImageToModelNode.mdx new file mode 100644 index 000000000..b92d81939 --- /dev/null +++ b/ko/built-in-nodes/TripoP1ImageToModelNode.mdx @@ -0,0 +1,36 @@ +--- +title: "TripoP1ImageToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoP1ImageToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoP1ImageToModelNode" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 Tripo P1 API를 사용하여 단일 2D 이미지를 3D 모델로 변환합니다. 저폴리곤, 게임에 바로 사용할 수 있는 메시를 생성하도록 최적화되어 있습니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 3D 모델로 변환할 입력 이미지입니다. | IMAGE | 예 | - | +| `output_mode` | 출력 모드와 품질 설정을 지정하는 딕셔너리입니다. 이 매개변수는 생성되는 모델의 유형과 텍스처 품질을 제어합니다. 사용 가능한 옵션은 `_build_p1_output_mode` 헬퍼 함수에 의해 정의되며, `texture_quality`(예: "standard", "high", "ultra") 및 `image_alignment` 설정을 포함합니다. | DICT | 예 | 설명 참조 | +| `enable_image_autofix` | 더 나은 생성 품질을 위해 입력 이미지를 전처리합니다. (기본값: False) | BOOLEAN | 아니요 | True
False | +| `face_limit` | 생성된 메시의 면 수를 제한합니다. 값이 -1이면 제한이 없음을 의미합니다. (기본값: -1) | INT | 아니요 | - | +| `model_seed` | 재현 가능한 모델 생성을 위한 시드 값입니다. 제공되지 않으면 무작위 시드가 사용됩니다. (기본값: None) | INT | 아니요 | - | +| `auto_size` | 생성된 모델의 최적 크기를 자동으로 결정합니다. (기본값: False) | BOOLEAN | 아니요 | True
False | +| `export_uv` | 모델과 함께 UV 좌표를 내보냅니다. (기본값: True) | BOOLEAN | 아니요 | True
False | +| `compress_geometry` | 파일 크기를 줄이기 위해 지오메트리 데이터를 압축합니다. (기본값: False) | BOOLEAN | 아니요 | True
False | + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model_file` | 생성된 3D 모델의 파일 경로입니다. 이 출력은 이전 버전과의 호환성을 위해서만 제공됩니다. | STRING | +| `model task_id` | 모델 생성 요청에 대한 고유 작업 ID입니다. | MODEL_TASK_ID | +| `GLB` | GLB 형식으로 생성된 3D 모델입니다. | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1ImageToModelNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `2ac611603dd6eb88700a8105c19f97a8c4eefe5f4efb23d8854ccc27af590626` diff --git a/ko/built-in-nodes/TripoP1MultiviewToModelNode.mdx b/ko/built-in-nodes/TripoP1MultiviewToModelNode.mdx new file mode 100644 index 000000000..fff9f8f9b --- /dev/null +++ b/ko/built-in-nodes/TripoP1MultiviewToModelNode.mdx @@ -0,0 +1,40 @@ +--- +title: "TripoP1MultiviewToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoP1MultiviewToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoP1MultiviewToModelNode" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 객체나 캐릭터의 2~4장의 참조 이미지로부터 3D 모델을 생성합니다. 다양한 각도(정면, 좌측, 후면, 우측)의 이미지를 제공하면 노드가 GLB 형식의 3D 메시를 생성합니다. 정면 뷰는 필수이며, 더 나은 결과를 위해 나머지 세 가지 뷰를 선택적으로 추가할 수 있습니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `image` | 정면 뷰(0°). 필수 입력입니다. | IMAGE | 예 | - | +| `image_left` | 좌측 뷰(90°), 즉 대상의 왼쪽 면입니다. | IMAGE | 아니요 | - | +| `image_back` | 후면 뷰(180°)입니다. | IMAGE | 아니요 | - | +| `image_right` | 우측 뷰(270°), 즉 대상의 오른쪽 면입니다. | IMAGE | 아니요 | - | +| `output_mode` | 생성된 모델의 출력 모드입니다. `"geometry"`는 원시 메시를 생성하고, `"textured"`는 표준 텍스처를 추가하며, `"detailed"`는 고해상도 텍스처 모델을 생성합니다(기본값: `"textured"`). | COMBO | 예 | `"geometry"`
`"textured"`
`"detailed"` | +| `face_limit` | 출력 메시의 최대 면 수입니다. 제한 없음은 -1로 설정합니다(기본값: -1). | INT | 아니요 | -1 ~ 100000 | +| `model_seed` | 재현 가능한 모델 생성을 위한 시드 값입니다. 무작위 생성은 0으로 설정합니다(기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | +| `auto_size` | 표준 경계 상자에 맞게 모델 크기를 자동으로 조정합니다(기본값: False). | BOOLEAN | 아니요 | True / False | +| `export_uv` | 모델과 함께 UV 좌표를 내보냅니다(기본값: True). | BOOLEAN | 아니요 | True / False | +| `compress_geometry` | 파일 크기 감소를 위해 지오메트리 데이터를 압축합니다(기본값: False). | BOOLEAN | 아니요 | True / False | + +**참고:** 최소 2개의 이미지를 제공해야 합니다: 정면 뷰(`image`)와 다른 뷰(`image_left`, `image_back`, 또는 `image_right`) 중 하나 이상이 필요합니다. 2개 미만의 이미지가 제공되면 노드에서 오류가 발생합니다. + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model_file` | 생성된 GLB 모델의 파일 이름입니다(하위 호환성 전용). | STRING | +| `model_task_id` | 이 모델 생성 요청의 고유 작업 ID입니다. | MODEL_TASK_ID | +| `GLB` | GLB 형식으로 생성된 3D 모델입니다. | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1MultiviewToModelNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `29bb87cdc5d3eef891a653c622e8876a37d6e6dc1a43e5c248b184060ead9029` diff --git a/ko/built-in-nodes/TripoP1TextToModelNode.mdx b/ko/built-in-nodes/TripoP1TextToModelNode.mdx new file mode 100644 index 000000000..fee90291f --- /dev/null +++ b/ko/built-in-nodes/TripoP1TextToModelNode.mdx @@ -0,0 +1,37 @@ +--- +title: "TripoP1TextToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoP1TextToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoP1TextToModelNode" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 Tripo P1 API를 사용하여 텍스트 설명으로부터 3D 모델을 생성합니다. 안정적인 토폴로지를 가진 로우폴리, 게임에 바로 사용할 수 있는 메시를 생성하도록 최적화되어 있어 실시간 애플리케이션에 적합합니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 생성하려는 3D 모델에 대한 텍스트 설명입니다. | STRING | 예 | 최대 1024자 | +| `네거티브 프롬프트` | 생성된 모델에 포함되지 않아야 할 내용에 대한 텍스트 설명입니다. | STRING | 아니요 | 최대 255자 | +| `출력 모드` | 출력 모델의 품질과 텍스처 설정을 제어합니다. 이 매개변수는 다음 키를 포함하는 딕셔너리입니다:

`texture_quality`: STRING, 범위: `"standard"`
`pbr`: BOOLEAN, 기본값: True
`texture`: BOOLEAN, 기본값: True
`subdivision`: INT, 기본값: 0, 범위: 0~2
`texture_size`: INT, 기본값: 2048, 범위: 512~4096 (2의 거듭제곱이어야 함)
`texture_format`: STRING, 범위: `"png"`
`texture_clean`: BOOLEAN, 기본값: False
`texture_seamless`: BOOLEAN, 기본값: False

기본값: `{"texture_quality": "standard", "pbr": True, "texture": True, "subdivision": 0, "texture_size": 2048, "texture_format": "png", "texture_clean": False, "texture_seamless": False}` | DICT | 예 | 설명 참조 | +| `이미지 시드` | 이미지 생성을 위한 시드 값으로, 무작위성을 제어하는 데 사용됩니다. 기본값: 42. | INT | 아니요 | | +| `페이스 제한` | 생성된 메시의 최대 면 수입니다. -1 값은 제한이 없음을 의미합니다. 기본값: -1. | INT | 아니요 | | +| `모델 시드` | 모델 생성을 위한 시드 값으로, 무작위성을 제어하는 데 사용됩니다. | INT | 아니요 | | +| `자동 크기 조정` | 활성화하면 노드가 최적의 모델 크기를 자동으로 결정합니다. 기본값: False. | BOOLEAN | 아니요 | | +| `UV 내보내기` | 활성화하면 모델에 텍스처 매핑을 위한 UV 좌표가 포함됩니다. 기본값: True. | BOOLEAN | 아니요 | | +| `지오메트리 압축` | 활성화하면 파일 크기를 줄이기 위해 지오메트리가 압축됩니다. 기본값: False. | BOOLEAN | 아니요 | | + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model_file` | 생성된 3D 모델의 파일 경로입니다 (하위 호환성 전용). | STRING | +| `model task_id` | 모델 생성 요청에 대한 고유 작업 ID입니다. | MODEL_TASK_ID | +| `GLB` | GLB 형식으로 생성된 3D 모델입니다. | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1TextToModelNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `154e75209d65c823d5681b74cd12fe7b2ed37d7b94bf51cac86f343c68f85722` diff --git a/ko/built-in-nodes/TripoRefineNode.mdx b/ko/built-in-nodes/TripoRefineNode.mdx new file mode 100644 index 000000000..e428e47b9 --- /dev/null +++ b/ko/built-in-nodes/TripoRefineNode.mdx @@ -0,0 +1,31 @@ +--- +title: "TripoRefineNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoRefineNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoRefineNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/en.md) + +TripoRefineNode는 특히 v1.4 Tripo 모델이 생성한 초안 3D 모델을 정제합니다. 모델 작업 ID를 받아 Tripo API를 통해 처리하여 개선된 버전의 모델을 생성합니다. 이 노드는 Tripo v1.4 모델이 생성한 초안 모델에만 작동하도록 설계되었습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델 작업 ID` | v1.4 Tripo 모델이어야 함 | MODEL_TASK_ID | 예 | - | + +**참고:** 이 노드는 Tripo v1.4 모델이 생성한 초안 모델만 허용합니다. 다른 버전의 모델을 사용하면 오류가 발생할 수 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델 task_id` | 정제된 모델의 파일 경로 또는 참조(하위 호환성 전용) | STRING | +| `GLB` | 정제된 모델 작업의 식별자 | MODEL_TASK_ID | +| `GLB` | GLB 형식의 정제된 3D 모델 | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `136093c7cdd7eb33b55e862f4b8c0554de7bde656a7e0139efb63323ad041c32` diff --git a/ko/built-in-nodes/TripoRetargetNode.mdx b/ko/built-in-nodes/TripoRetargetNode.mdx new file mode 100644 index 000000000..bded24c19 --- /dev/null +++ b/ko/built-in-nodes/TripoRetargetNode.mdx @@ -0,0 +1,33 @@ +--- +title: "TripoRetargetNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoRetargetNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoRetargetNode" +icon: "circle" +mode: wide +--- +# TripoRetargetNode + +TripoRetargetNode는 사전 정의된 애니메이션을 3D 캐릭터 모델에 적용하여 모션 데이터를 리타겟팅합니다. 이 노드는 이전에 리깅된 3D 모델을 입력받아 여러 사전 설정 애니메이션 중 하나를 적용하고, 애니메이션이 적용된 3D 모델 파일을 출력으로 생성합니다. Tripo API와 통신하여 애니메이션 리타겟팅 작업을 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `원본 모델 작업 ID` | 애니메이션을 적용할 이전에 리깅된 3D 모델의 작업 ID | RIG_TASK_ID | 예 | - | +| `애니메이션` | 3D 모델에 적용할 애니메이션 사전 설정입니다. 옵션에는 인간형 애니메이션(대기, 걷기, 달리기, 다이빙, 오르기, 점프, 베기, 쏘기, 피해, 넘어짐, 회전)과 생물체 애니메이션(사족보행 걷기, 육각보행 걷기, 팔각보행 걷기, 뱀형 행진, 수중 행진)이 포함됩니다. | STRING | 예 | "preset:idle"
"preset:walk"
"preset:run"
"preset:dive"
"preset:climb"
"preset:jump"
"preset:slash"
"preset:shoot"
"preset:hurt"
"preset:fall"
"preset:turn"
"preset:quadruped:walk"
"preset:hexapod:walk"
"preset:octopod:walk"
"preset:serpentine:march"
"preset:aquatic:march" | +| `auth_token_comfy_org` | Comfy.org API 접근을 위한 인증 토큰(숨김 매개변수) | AUTH_TOKEN_COMFY_ORG | 아니요 | - | +| `api_key_comfy_org` | Comfy.org 서비스 접근을 위한 API 키(숨김 매개변수) | API_KEY_COMFY_ORG | 아니요 | - | +| `unique_id` | 작업 추적을 위한 고유 식별자(숨김 매개변수) | UNIQUE_ID | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `리타겟 task_id` | 생성된 애니메이션 3D 모델 파일(하위 호환성 전용) | STRING | +| `GLB` | 리타겟팅 작업 추적을 위한 작업 ID | RETARGET_TASK_ID | +| `GLB` | GLB 형식의 애니메이션 3D 모델 | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRetargetNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `304326afdc1fa3e8c3593f151f771f93520e061802c831838c58ebc401b9e9e2` diff --git a/ko/built-in-nodes/TripoRigNode.mdx b/ko/built-in-nodes/TripoRigNode.mdx new file mode 100644 index 000000000..42d7db9f7 --- /dev/null +++ b/ko/built-in-nodes/TripoRigNode.mdx @@ -0,0 +1,32 @@ +--- +title: "TripoRigNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoRigNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoRigNode" +icon: "circle" +mode: wide +--- +# TripoRigNode + +TripoRigNode는 원본 모델 작업 ID로부터 리깅된 3D 모델을 생성합니다. Tripo API에 요청을 전송하여 Tripo 사양을 사용해 GLB 형식의 애니메이션 리그를 생성한 후, 리그 생성 작업이 완료될 때까지 API를 폴링합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `원본 모델 작업 ID` | 리깅할 원본 3D 모델의 작업 ID | MODEL_TASK_ID | 예 | - | +| `auth_token` | Comfy.org API 접근을 위한 인증 토큰 | AUTH_TOKEN_COMFY_ORG | 아니요 | - | +| `comfy_api_key` | Comfy.org 서비스 인증을 위한 API 키 | API_KEY_COMFY_ORG | 아니요 | - | +| `unique_id` | 작업 추적을 위한 고유 식별자 | UNIQUE_ID | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `리깅 task_id` | 생성된 리깅 3D 모델 파일 (하위 호환성을 위해 유지됨) | STRING | +| `GLB` | 리그 생성 과정 추적을 위한 작업 ID | RIG_TASK_ID | +| `GLB` | GLB 형식으로 생성된 리깅 3D 모델 | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRigNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `621a4d08f3b8a349c3afff3dbf888b20d524eb3337685769b7a7badcb28986e4` diff --git a/ko/built-in-nodes/TripoSplatConditioning.mdx b/ko/built-in-nodes/TripoSplatConditioning.mdx new file mode 100644 index 000000000..c5a0e62e6 --- /dev/null +++ b/ko/built-in-nodes/TripoSplatConditioning.mdx @@ -0,0 +1,31 @@ +--- +title: "TripoSplatConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoSplatConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoSplatConditioning" +icon: "circle" +mode: wide +--- +# TripoSpat 조건부 설정 + +이 노드는 DINOv3와 Flux2 VAE를 사용하여 입력 이미지를 인코딩함으로써 TripoSpat 모델을 위한 긍정 및 부정 조건부 데이터를 생성합니다. 또한 KSampler의 시작점 역할을 하는 고정 크기의 노이즈 대상(잠재 변수 및 카메라 데이터)을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `clip_vision` | DINOv3 ViT-H/16+ 이미지 인코더 | CLIP_VISION | 예 | - | +| `vae` | Flux2 VAE | VAE | 예 | - | +| `이미지` | 인코딩할 입력 이미지 | IMAGE | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `negative` | DINOv3 특징과 Flux2 VAE 잠재 변수를 포함하는 긍정 조건부 데이터 | CONDITIONING | +| `latent` | 0으로 채워진 DINOv3 특징과 0으로 채워진 Flux2 VAE 잠재 변수를 포함하는 부정 조건부 데이터 | CONDITIONING | +| `latent` | KSampler를 위한 고정 크기 노이즈 대상(잠재 시퀀스 및 카메라 토큰) | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoSplatConditioning/ko.md) + +--- +**Source fingerprint (SHA-256):** `9187a4a020818b9adc762eb41e913086b59d62c47abe92d4bafdb14bc8779f51` diff --git a/ko/built-in-nodes/TripoSplatPreprocessImage.mdx b/ko/built-in-nodes/TripoSplatPreprocessImage.mdx new file mode 100644 index 000000000..232775ffd --- /dev/null +++ b/ko/built-in-nodes/TripoSplatPreprocessImage.mdx @@ -0,0 +1,32 @@ +--- +title: "TripoSplatPreprocessImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoSplatPreprocessImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoSplatPreprocessImage" +icon: "circle" +mode: wide +--- +# TripoSplat 이미지 전처리 + +이 노드는 각 입력 이미지를 검은색 배경의 중앙 정사각형으로 자른 후, 지정된 출력 크기에 도달하도록 패딩을 추가합니다. 일관된 정사각형 프레임과 테두리 아티팩트 방지를 위한 선택적 알파 매트 침식을 통해 TripoSplat 3D 모델용 이미지를 준비하도록 설계되었습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `image` | 전처리할 입력 이미지 | IMAGE | 예 | - | +| `mask` | 이미지의 알파 마스크로, 자를 영역을 결정하는 데 사용됩니다 | MASK | 예 | - | +| `erode_radius` | 자르기 전에 이 픽셀 반경만큼 알파 매트를 침식합니다(테두리 번짐 방지). 기본값: 1 | INT | 예 | 0 ~ 16 | +| `size` | 정사각형 이미지 크기입니다. 모델은 1024에서 학습되었으며, 다른 크기도 실행 가능하지만 분포 외 결과가 나올 수 있습니다. 기본값: 1024 | INT | 예 | 256 ~ 4096(16 단계) | + +**참고:** `mask` 입력은 필수이며 반드시 제공되어야 합니다. 마스크의 배치 크기가 이미지와 다른 경우, 자동으로 반복되어 일치시킵니다. 마스크의 차원이 이미지 차원과 다른 경우, 쌍선형 보간법을 사용하여 마스크 크기를 이미지에 맞게 조정합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `image` | 검은색 배경의 중앙 정사각형으로 자르고 패딩이 추가된 전처리된 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoSplatPreprocessImage/ko.md) + +--- +**Source fingerprint (SHA-256):** `3f33dbc3a99ccb23ede767915a28fabdfa388edb8d5782edea3f8d03e5965b2a` diff --git a/ko/built-in-nodes/TripoSplatSamplingPreview.mdx b/ko/built-in-nodes/TripoSplatSamplingPreview.mdx new file mode 100644 index 000000000..347c2d01f --- /dev/null +++ b/ko/built-in-nodes/TripoSplatSamplingPreview.mdx @@ -0,0 +1,33 @@ +--- +title: "TripoSplatSamplingPreview - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoSplatSamplingPreview node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoSplatSamplingPreview" +icon: "circle" +mode: wide +--- +# TripoSplat 샘플링 미리보기 + +이 노드는 TripoSplat 모델을 패치하여 표준 KSampler 노드와 함께 사용할 때 각 샘플링 단계에서 디코딩된 가우시안 스플랫의 실시간 미리보기를 표시합니다. 샘플러의 콜백을 래핑하여 각 단계 후 모델의 출력을 미리보기 이미지로 디코딩하는 방식으로 작동합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `model` | 실시간 미리보기를 위해 패치할 TripoSplat 모델 | MODEL | 예 | | +| `vae` | TripoSplat VAE 디코더 | VAE | 예 | | +| `octree_level` | 미리보기 디코딩을 위한 옥트리 깊이 (값이 낮을수록 더 저렴하고 거칠게 처리됨). 기본값: 5 | INT | 아니요 | 2 ~ 8 | +| `num_gaussians` | 미리보기에 생성할 가우시안 수 (32의 배수로 반올림됨). 기본값: 16384 | INT | 아니요 | 1024 ~ 262144 (단위: 32) | +| `yaw` | 미리보기 카메라 요 각도(도). 기본값: 90.0 | FLOAT | 아니요 | -360.0 ~ 360.0 (단위: 1.0) | +| `pitch` | 미리보기 카메라 피치 각도(도). 기본값: 15.0 | FLOAT | 아니요 | -89.0 ~ 89.0 (단위: 1.0) | +| `point_size` | 최대 스플랫 반경(픽셀). 각 가우시안은 스케일에 따라 크기가 조정되며 이 값으로 제한됨. 값이 낮을수록 더 미세하고 점처럼 보이며, 높을수록 더 덩어리짐. 기본값: 3 | INT | 아니요 | 1 ~ 16 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `MODEL` | 실시간 미리보기 기능이 추가된 패치된 TripoSplat 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoSplatSamplingPreview/ko.md) + +--- +**Source fingerprint (SHA-256):** `56d5eeb5255b42d90f8cffd50319791fe6ec755c6dad47478fe8cc2e9bb65dfb` diff --git a/ko/built-in-nodes/TripoTextToModelNode.mdx b/ko/built-in-nodes/TripoTextToModelNode.mdx new file mode 100644 index 000000000..b187901eb --- /dev/null +++ b/ko/built-in-nodes/TripoTextToModelNode.mdx @@ -0,0 +1,43 @@ +--- +title: "TripoTextToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoTextToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoTextToModelNode" +icon: "circle" +mode: wide +--- +# Tripo 텍스트-3D 모델 노드 + +Tripo의 API를 사용하여 텍스트 프롬프트를 기반으로 3D 모델을 동기식으로 생성합니다. 이 노드는 텍스트 설명을 받아 선택적 텍스처 및 재질 속성과 함께 3D 모델을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 3D 모델 생성을 위한 텍스트 설명 (여러 줄 입력 가능) | STRING | 예 | - | +| `네거티브 프롬프트` | 생성된 모델에서 피해야 할 내용에 대한 텍스트 설명 (여러 줄 입력 가능) | STRING | 아니요 | - | +| `모델 버전` | 생성에 사용할 Tripo 모델 버전 (기본값: v2.5-20250123) | COMBO | 아니요 | 여러 옵션 사용 가능 | +| `스타일` | 생성된 모델의 스타일 설정 (기본값: "None") | COMBO | 아니요 | 여러 옵션 사용 가능 | +| `텍스처` | 모델에 텍스처를 생성할지 여부 (기본값: True) | BOOLEAN | 아니요 | - | +| `PBR` | PBR(물리 기반 렌더링) 재질을 생성할지 여부 (기본값: True) | BOOLEAN | 아니요 | - | +| `이미지 시드` | 이미지 생성을 위한 무작위 시드 (기본값: 42) | INT | 아니요 | - | +| `모델 시드` | 모델 생성을 위한 무작위 시드 (기본값: 42) | INT | 아니요 | - | +| `텍스처 시드` | 텍스처 생성을 위한 무작위 시드 (기본값: 42) | INT | 아니요 | - | +| `텍스처 품질` | 텍스처 생성 품질 수준 (기본값: "standard") | COMBO | 아니요 | "standard"
"detailed" | +| `얼굴 제한` | 생성된 모델의 최대 면 수, -1은 제한 없음 (기본값: -1) | INT | 아니요 | -1 ~ 2000000 | +| `쿼드` | 삼각형 대신 사각형 기반 지오메트리를 생성할지 여부 (기본값: False) | BOOLEAN | 아니요 | - | +| `geometry_quality` | 지오메트리 생성 품질 수준 (기본값: "standard") | COMBO | 아니요 | "standard"
"detailed" | + +**참고:** `prompt` 매개변수는 필수이며 비워둘 수 없습니다. 프롬프트가 제공되지 않으면 노드에서 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델 task_id` | 생성된 3D 모델 파일 (하위 호환성 전용) | STRING | +| `GLB` | 모델 생성 프로세스의 고유 작업 식별자 | MODEL_TASK_ID | +| `GLB` | GLB 형식으로 생성된 3D 모델 | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextToModelNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `f73316e0a50adfb6fe22ca6a20a2a5b36a6597abf0f4ddae9183d9e4a45cb46d` diff --git a/ko/built-in-nodes/TripoTextureNode.mdx b/ko/built-in-nodes/TripoTextureNode.mdx new file mode 100644 index 000000000..dd659b69a --- /dev/null +++ b/ko/built-in-nodes/TripoTextureNode.mdx @@ -0,0 +1,36 @@ +--- +title: "TripoTextureNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoTextureNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoTextureNode" +icon: "circle" +mode: wide +--- +# TripoTextureNode + +TripoTextureNode는 Tripo API를 사용하여 텍스처가 적용된 3D 모델을 생성합니다. 모델 작업 ID를 입력받아 PBR 재질, 텍스처 품질 설정, 정렬 방법 등 다양한 옵션으로 텍스처 생성을 적용합니다. 이 노드는 Tripo API와 통신하여 텍스처 생성 요청을 처리하고 결과 모델 파일과 작업 ID를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델 작업 ID` | 텍스처를 적용할 모델의 작업 ID | MODEL_TASK_ID | 예 | - | +| `텍스처` | 텍스처 생성 여부 (기본값: True) | BOOLEAN | 아니요 | - | +| `PBR` | PBR(물리 기반 렌더링) 재질 생성 여부 (기본값: True) | BOOLEAN | 아니요 | - | +| `텍스처 시드` | 텍스처 생성을 위한 난수 시드 (기본값: 42) | INT | 아니요 | - | +| `텍스처 품질` | 텍스처 생성 품질 수준 (기본값: "standard"). "detailed" 옵션은 0.20 USD, "standard"는 0.10 USD의 비용이 발생합니다. | COMBO | 아니요 | "standard"
"detailed" | +| `텍스처 정렬` | 텍스처 정렬 방법 (기본값: "original_image"). "original_image"는 원본 입력 이미지에 텍스처를 정렬하고, "geometry"는 3D 지오메트리에 정렬합니다. | COMBO | 아니요 | "original_image"
"geometry" | + +*참고: 이 노드는 인증 토큰과 API 키가 필요하며, 시스템에서 자동으로 처리됩니다.* + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델 task_id` | 텍스처가 적용된 생성된 모델 파일 (하위 호환성 전용) | STRING | +| `GLB` | 텍스처 생성 과정 추적을 위한 작업 ID | MODEL_TASK_ID | +| `GLB` | 텍스처가 적용된 GLB 형식의 생성된 3D 모델 | FILE3DGLB | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextureNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `6d2a6ff7bbbe9fa91f63c6c7d237799044d2f9aa5afe7b90b99cf9e5a21afc32` diff --git a/ko/built-in-nodes/TruncateText.mdx b/ko/built-in-nodes/TruncateText.mdx new file mode 100644 index 000000000..57f3e43c0 --- /dev/null +++ b/ko/built-in-nodes/TruncateText.mdx @@ -0,0 +1,28 @@ +--- +title: "TruncateText - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TruncateText node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TruncateText" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TruncateText/en.md) + +이 노드는 지정된 최대 길이에서 텍스트를 잘라내어 단축합니다. 입력 텍스트를 받아 설정한 문자 수까지만 첫 부분을 반환합니다. 텍스트가 특정 크기를 초과하지 않도록 하는 간단한 방법입니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `text` | 잘라낼 텍스트 문자열입니다. | STRING | 예 | 해당 없음 | +| `max_length` | 최대 텍스트 길이입니다. 이 문자 수 이후로 텍스트가 잘립니다(기본값: 77). | INT | 예 | 1~10000 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `string` | 잘라낸 텍스트로, 입력에서 처음 `max_length` 문자만 포함합니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TruncateText/ko.md) + +--- +**Source fingerprint (SHA-256):** `271a77a910967c4fd86a07485449679fb8db89f6b3f2bf0a8fa2ff224ea2f7b2` diff --git a/ko/built-in-nodes/UNETLoader.mdx b/ko/built-in-nodes/UNETLoader.mdx new file mode 100644 index 000000000..8feb6d1d3 --- /dev/null +++ b/ko/built-in-nodes/UNETLoader.mdx @@ -0,0 +1,25 @@ +--- +title: "UNETLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the UNETLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "UNETLoader" +icon: "circle" +mode: wide +--- +UNETLoader 노드는 이름으로 U-Net 모델을 로드하도록 설계되어, 시스템 내에서 사전 훈련된 U-Net 아키텍처를 손쉽게 사용할 수 있도록 합니다. + +이 노드는 `ComfyUI/models/diffusion_models` 폴더에 위치한 모델을 감지합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `UNet 모델 파일명` | 로드할 U-Net 모델의 이름을 지정합니다. 이 이름은 미리 정의된 디렉터리 구조 내에서 모델을 찾는 데 사용되며, 다양한 U-Net 모델을 동적으로 로드할 수 있도록 합니다. | COMBO[STRING] | +| `가중치 데이터 유형` | 🚧 fp8_e4m3fn fp9_e5m2 | ... | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `model` | 로드된 U-Net 모델을 반환하며, 시스템 내에서 추가 처리 또는 추론에 활용할 수 있도록 합니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNETLoader/ko.md) diff --git a/ko/built-in-nodes/UNetCrossAttentionMultiply.mdx b/ko/built-in-nodes/UNetCrossAttentionMultiply.mdx new file mode 100644 index 000000000..c5bc0257f --- /dev/null +++ b/ko/built-in-nodes/UNetCrossAttentionMultiply.mdx @@ -0,0 +1,29 @@ +--- +title: "UNetCrossAttentionMultiply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the UNetCrossAttentionMultiply node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "UNetCrossAttentionMultiply" +icon: "circle" +mode: wide +--- +UNetCrossAttentionMultiply 노드는 UNet 모델의 교차 주의 메커니즘에 곱셈 계수를 적용합니다. 이를 통해 교차 주의 레이어의 쿼리, 키, 값 및 출력 구성 요소의 크기를 조정하여 다양한 주의 동작과 효과를 실험할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 주의 배율 계수로 수정할 UNet 모델 | MODEL | 예 | - | +| `q` | 교차 주의에서 쿼리 구성 요소의 배율 계수 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | +| `k` | 교차 주의에서 키 구성 요소의 배율 계수 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | +| `v` | 교차 주의에서 값 구성 요소의 배율 계수 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | +| `out` | 교차 주의에서 출력 구성 요소의 배율 계수 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 교차 주의 구성 요소의 크기가 조정된 수정된 UNet 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetCrossAttentionMultiply/ko.md) + +--- +**Source fingerprint (SHA-256):** `2623858c11e93ab5952194670c9e4ea74bba4e2ea32089540665eea361dc1491` diff --git a/ko/built-in-nodes/UNetSelfAttentionMultiply.mdx b/ko/built-in-nodes/UNetSelfAttentionMultiply.mdx new file mode 100644 index 000000000..f235f2e72 --- /dev/null +++ b/ko/built-in-nodes/UNetSelfAttentionMultiply.mdx @@ -0,0 +1,29 @@ +--- +title: "UNetSelfAttentionMultiply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the UNetSelfAttentionMultiply node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "UNetSelfAttentionMultiply" +icon: "circle" +mode: wide +--- +UNetSelfAttentionMultiply 노드는 UNet 모델의 셀프 어텐션 메커니즘에서 쿼리(query), 키(key), 값(value) 및 출력(output) 구성 요소에 곱셈 계수를 적용합니다. 이를 통해 어텐션 계산의 여러 부분을 조정하여 어텐션 가중치가 모델 동작에 미치는 영향을 실험할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 어텐션 스케일링 계수를 적용할 UNet 모델 | MODEL | 예 | - | +| `q` | 쿼리 구성 요소의 곱셈 계수 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | +| `k` | 키 구성 요소의 곱셈 계수 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | +| `v` | 값 구성 요소의 곱셈 계수 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | +| `out` | 출력 구성 요소의 곱셈 계수 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MODEL` | 어텐션 구성 요소가 조정된 수정된 UNet 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetSelfAttentionMultiply/ko.md) + +--- +**Source fingerprint (SHA-256):** `ee6328c6cba44d30d2e219a2af04bb3d3d9adeaabb959a46f87b3b299dfe2f43` diff --git a/ko/built-in-nodes/UNetTemporalAttentionMultiply.mdx b/ko/built-in-nodes/UNetTemporalAttentionMultiply.mdx new file mode 100644 index 000000000..48524a56d --- /dev/null +++ b/ko/built-in-nodes/UNetTemporalAttentionMultiply.mdx @@ -0,0 +1,29 @@ +--- +title: "UNetTemporalAttentionMultiply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the UNetTemporalAttentionMultiply node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "UNetTemporalAttentionMultiply" +icon: "circle" +mode: wide +--- +UNetTemporalAttentionMultiply 노드는 시간적 UNet 모델에서 다양한 유형의 어텐션 메커니즘에 곱셈 계수를 적용합니다. 이 노드는 자기 어텐션(self-attention)과 교차 어텐션(cross-attention) 레이어의 가중치를 조정하여 모델을 수정하며, 구조적 구성 요소와 시간적 구성 요소를 구분합니다. 이를 통해 각 어텐션 유형이 모델 출력에 미치는 영향을 세밀하게 조정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 어텐션 승수로 수정할 입력 모델 | MODEL | 예 | - | +| `구조적 셀프` | 자기 어텐션 구조적 구성 요소의 승수 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | +| `시간적 셀프` | 자기 어텐션 시간적 구성 요소의 승수 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | +| `구조적 크로스` | 교차 어텐션 구조적 구성 요소의 승수 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | +| `시간적 크로스` | 교차 어텐션 시간적 구성 요소의 승수 (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 10.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 조정된 어텐션 가중치가 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetTemporalAttentionMultiply/ko.md) + +--- +**Source fingerprint (SHA-256):** `98d62fb28a0cdf62154ae4e0b672b3a7bcb9ed61186a164a43992263c1f9439a` diff --git a/ko/built-in-nodes/USOStyleReference.mdx b/ko/built-in-nodes/USOStyleReference.mdx new file mode 100644 index 000000000..d5e7c9086 --- /dev/null +++ b/ko/built-in-nodes/USOStyleReference.mdx @@ -0,0 +1,27 @@ +--- +title: "USOStyleReference - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the USOStyleReference node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "USOStyleReference" +icon: "circle" +mode: wide +--- +USOStyleReference 노드는 CLIP 비전 출력에서 인코딩된 이미지 특징을 사용하여 모델에 스타일 참조 패치를 적용합니다. 시각적 입력에서 추출된 스타일 정보를 통합하여 입력 모델의 수정된 버전을 생성함으로써, 스타일 전이 또는 참조 기반 생성 기능을 가능하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 스타일 참조 패치를 적용할 기본 모델입니다 | MODEL | 예 | - | +| `모델 패치` | 스타일 참조 정보를 포함하는 모델 패치입니다 | MODEL_PATCH | 예 | - | +| `CLIP 비전 출력` | CLIP 비전 처리에서 추출된 인코딩된 시각적 특징입니다 | CLIP_VISION_OUTPUT | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 스타일 참조 패치가 적용된 수정된 모델입니다 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/USOStyleReference/ko.md) + +--- +**Source fingerprint (SHA-256):** `fd800fb927677da29e148bfa1b287efed82895860ce4b0241d662579d2c07ff4` diff --git a/ko/built-in-nodes/UpscaleModelLoader.mdx b/ko/built-in-nodes/UpscaleModelLoader.mdx new file mode 100644 index 000000000..b2a0a41cc --- /dev/null +++ b/ko/built-in-nodes/UpscaleModelLoader.mdx @@ -0,0 +1,24 @@ +--- +title: "UpscaleModelLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the UpscaleModelLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "UpscaleModelLoader" +icon: "circle" +mode: wide +--- +이 노드는 `ComfyUI/models/upscale_models` 폴더에 있는 모델을 감지하며, extra_model_paths.yaml 파일에 구성된 추가 경로의 모델도 읽어옵니다. 때로는 **ComfyUI 인터페이스를 새로고침**하여 해당 폴더에서 모델 파일을 읽도록 해야 할 수도 있습니다. + +UpscaleModelLoader 노드는 지정된 디렉터리에서 업스케일 모델을 로드하도록 설계되었습니다. 이미지 업스케일 작업을 위해 업스케일 모델을 검색하고 준비하는 과정을 용이하게 하며, 모델이 올바르게 로드되고 평가를 위해 구성되도록 보장합니다. + +## 입력 + +| 필드 | 설명 | Comfy 데이터 타입 | +| --- | --- | --- | +| `모델 파일명` | 로드할 업스케일 모델의 이름을 지정하며, 업스케일 모델 디렉터리에서 올바른 모델 파일을 식별하고 검색합니다. | `COMBO[STRING]` | + +## 출력 + +| 필드 | 설명 | Comfy 데이터 타입 | +| --- | --- | --- | +| `upscale_model` | 로드되어 준비된 업스케일 모델을 반환하며, 이미지 업스케일 작업에 사용할 준비가 됩니다. | `UPSCALE_MODEL` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UpscaleModelLoader/ko.md) diff --git a/ko/built-in-nodes/VAEDecode.mdx b/ko/built-in-nodes/VAEDecode.mdx new file mode 100644 index 000000000..17e83f8f2 --- /dev/null +++ b/ko/built-in-nodes/VAEDecode.mdx @@ -0,0 +1,23 @@ +--- +title: "VAEDecode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEDecode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAEDecode" +icon: "circle" +mode: wide +--- +VAEDecode 노드는 지정된 Variational Autoencoder(VAE)를 사용하여 잠재 표현을 이미지로 디코딩하도록 설계되었습니다. 이 노드는 압축된 데이터 표현에서 이미지를 생성하고, 잠재 공간 인코딩으로부터 이미지를 재구성하는 역할을 수행합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `잠재 데이터` | 'samples' 매개변수는 이미지로 디코딩될 잠재 표현을 나타냅니다. 이미지가 재구성되는 압축 데이터를 제공하므로 디코딩 과정에서 핵심적인 역할을 합니다. | `LATENT` | +| `vae` | 'vae' 매개변수는 잠재 표현을 이미지로 디코딩하는 데 사용할 Variational Autoencoder 모델을 지정합니다. 디코딩 메커니즘과 재구성된 이미지의 품질을 결정하는 데 필수적입니다. | VAE | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 출력은 지정된 VAE 모델을 사용하여 제공된 잠재 표현으로부터 재구성된 이미지입니다. | `IMAGE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecode/ko.md) diff --git a/ko/built-in-nodes/VAEDecodeAudio.mdx b/ko/built-in-nodes/VAEDecodeAudio.mdx new file mode 100644 index 000000000..10ed65531 --- /dev/null +++ b/ko/built-in-nodes/VAEDecodeAudio.mdx @@ -0,0 +1,26 @@ +--- +title: "VAEDecodeAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEDecodeAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAEDecodeAudio" +icon: "circle" +mode: wide +--- +VAEDecodeAudio 노드는 변이형 오토인코더(Variational Autoencoder)를 사용하여 잠재 표현을 다시 오디오 파형으로 변환합니다. 인코딩된 오디오 샘플을 입력받아 VAE를 통해 처리하여 원본 오디오를 재구성하며, 일관된 출력 레벨을 보장하기 위해 정규화를 적용합니다. 결과 오디오는 표준 샘플 레이트인 44100Hz로 반환됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `잠재 오디오` | 오디오 파형으로 디코딩될 잠재 공간의 인코딩된 오디오 샘플입니다 | LATENT | 예 | - | +| `vae` | 잠재 샘플을 오디오로 디코딩하는 데 사용되는 변이형 오토인코더 모델입니다 | VAE | 예 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `AUDIO` | 볼륨이 정규화되고 44100Hz 샘플 레이트로 디코딩된 오디오 파형입니다 | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `15848d3763324cbae986949146d57352c68369713cd99a27d216797560836824` diff --git a/ko/built-in-nodes/VAEDecodeAudioTiled.mdx b/ko/built-in-nodes/VAEDecodeAudioTiled.mdx new file mode 100644 index 000000000..8fce8b280 --- /dev/null +++ b/ko/built-in-nodes/VAEDecodeAudioTiled.mdx @@ -0,0 +1,30 @@ +--- +title: "VAEDecodeAudioTiled - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEDecodeAudioTiled node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAEDecodeAudioTiled" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/en.md) + +이 노드는 Variational Autoencoder(VAE)를 사용하여 압축된 오디오 표현(잠재 샘플)을 다시 오디오 파형으로 변환합니다. 메모리 사용량을 관리하기 위해 데이터를 더 작고 겹치는 섹션(타일)으로 처리하므로, 긴 오디오 시퀀스를 처리하는 데 적합합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `샘플` | 디코딩할 오디오의 압축된 잠재 표현입니다. | LATENT | 예 | 해당 없음 | +| `vae` | 디코딩을 수행하는 데 사용되는 Variational Autoencoder 모델입니다. | VAE | 예 | 해당 없음 | +| `타일 크기` | 각 처리 타일의 크기입니다. 오디오는 이 길이의 섹션으로 나뉘어 디코딩되어 메모리를 절약합니다(기본값: 512). | INT | 예 | 32 ~ 8192 | +| `오버랩` | 인접한 타일이 겹치는 샘플 수입니다. 타일 경계에서 발생하는 아티팩트를 줄이는 데 도움이 됩니다(기본값: 64). | INT | 예 | 0 ~ 1024 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 디코딩된 오디오 파형입니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/ko.md) + +--- +**Source fingerprint (SHA-256):** `d989f0cd0e4b4bf992d6860e27c25b8e814df52763c82909a61c58f418306352` diff --git a/ko/built-in-nodes/VAEDecodeHunyuan3D.mdx b/ko/built-in-nodes/VAEDecodeHunyuan3D.mdx new file mode 100644 index 000000000..6d1e483a4 --- /dev/null +++ b/ko/built-in-nodes/VAEDecodeHunyuan3D.mdx @@ -0,0 +1,28 @@ +--- +title: "VAEDecodeHunyuan3D - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEDecodeHunyuan3D node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAEDecodeHunyuan3D" +icon: "circle" +mode: wide +--- +VAEDecodeHunyuan3D 노드는 VAE 디코더를 사용하여 잠재 표현을 3D 복셀 데이터로 변환합니다. 이 노드는 VAE 모델을 통해 잠재 샘플을 처리하며, 청크 및 해상도 설정을 구성하여 3D 애플리케이션에 적합한 체적 데이터를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `샘플` | 3D 복셀 데이터로 디코딩할 잠재 표현입니다 | LATENT | 예 | - | +| `vae` | 잠재 샘플을 디코딩하는 데 사용되는 VAE 모델입니다 | VAE | 예 | - | +| `분할 수` | 메모리 관리를 위해 처리를 분할할 청크 수입니다 (기본값: 8000) | INT | 예 | 1000-500000 | +| `옥트리 해상도` | 3D 복셀 생성에 사용되는 옥트리 구조의 해상도입니다 (기본값: 256) | INT | 예 | 16-512 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `voxels` | 디코딩된 잠재 표현에서 생성된 3D 복셀 데이터입니다 | VOXEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeHunyuan3D/ko.md) + +--- +**Source fingerprint (SHA-256):** `a53ad8e14a2ffca6278866753046d5959f057a4c3fdba5623b37545cee27d557` diff --git a/ko/built-in-nodes/VAEDecodeTiled.mdx b/ko/built-in-nodes/VAEDecodeTiled.mdx new file mode 100644 index 000000000..1ecd82e84 --- /dev/null +++ b/ko/built-in-nodes/VAEDecodeTiled.mdx @@ -0,0 +1,32 @@ +--- +title: "VAEDecodeTiled - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEDecodeTiled node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAEDecodeTiled" +icon: "circle" +mode: wide +--- +VAEDecodeTiled 노드는 잠재 표현을 이미지로 디코딩할 때 타일 방식을 사용하여 대용량 이미지를 효율적으로 처리합니다. 입력 데이터를 더 작은 타일로 나누어 메모리 사용량을 관리하면서 이미지 품질을 유지합니다. 또한 비디오 VAE를 지원하여 시간적 프레임을 청크 단위로 처리하고 중첩을 통해 부드러운 전환을 구현합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `잠재 데이터` | 이미지로 디코딩할 잠재 표현 | LATENT | 예 | - | +| `vae` | 잠재 샘플 디코딩에 사용되는 VAE 모델 | VAE | 예 | - | +| `타일 크기` | 처리할 각 타일의 크기 (기본값: 512) | INT | 예 | 64-4096 (단위: 32) | +| `겹침` | 인접 타일 간 중첩 정도 (기본값: 64) | INT | 예 | 0-4096 (단위: 32) | +| `시간 크기` | 비디오 VAE에만 사용: 한 번에 디코딩할 프레임 수 (기본값: 64) | INT | 예 | 8-4096 (단위: 4) | +| `시간 겹침` | 비디오 VAE에만 사용: 중첩할 프레임 수 (기본값: 8) | INT | 예 | 4-4096 (단위: 4) | + +**참고:** 노드는 중첩 값이 실용적인 한계를 초과할 경우 자동으로 조정합니다. `tile_size`가 `overlap`의 4배보다 작으면 중첩이 타일 크기의 1/4로 줄어듭니다. 마찬가지로 `temporal_size`가 `temporal_overlap`의 2배보다 작으면 시간적 중첩이 절반으로 줄어듭니다. 또한 노드는 공간 및 시간 차원 모두에서 타일과 중첩 크기를 계산할 때 VAE의 내부 압축 비율을 고려합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 잠재 표현에서 생성된 디코딩된 이미지 또는 이미지들 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeTiled/ko.md) + +--- +**Source fingerprint (SHA-256):** `193d5cb219d66855ae581d3e4488b7b6ae3a45b735fb0f9f784fea1f5d466e46` diff --git a/ko/built-in-nodes/VAEDecodeTripoSplat.mdx b/ko/built-in-nodes/VAEDecodeTripoSplat.mdx new file mode 100644 index 000000000..ba47dd5d8 --- /dev/null +++ b/ko/built-in-nodes/VAEDecodeTripoSplat.mdx @@ -0,0 +1,32 @@ +--- +title: "VAEDecodeTripoSplat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEDecodeTripoSplat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAEDecodeTripoSplat" +icon: "circle" +mode: wide +--- +# VAEDecodeTripoSplat + +TripoSplat 잠재 표현을 3D 가우시안 스플랫으로 디코딩합니다. 이 노드는 TripoSplat 모델에서 샘플링된 잠재 변수를 가져와 3D 가우시안 집합으로 재구성하며, 생성되는 가우시안 수를 조정하여 밀도를 변경할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +|-----------|-------------|-----------|----------|-------| +| `samples` | 디코딩할 잠재 샘플 | LATENT | 예 | - | +| `vae` | TripoSplat VAE 디코더 모델 | VAE | 예 | - | +| `num_gaussians` | 생성할 가우시안 수(32의 배수로 반올림). 262144는 옥트리의 점 밀도와 일치합니다. 더 높은 값은 동일한 점을 과도하게 샘플링하여(밀도는 높아지지만 새로운 디테일은 없음) VRAM/시간이 비례하여 증가합니다. 기본값: 262144 | INT | 예 | 32 ~ 1048576 (단위: 32) | +| `seed` | 결정적 디코딩을 위한 옥트리 점 샘플러(전역 RNG)의 시드값입니다. 기본값: 0 | INT | 예 | 0 ~ 18446744073709551615 | + +**참고:** `num_gaussians` 값은 VAE 디코더의 포인트당 가우시안 수 설정의 배수로 자동 반올림됩니다. 실제 사용되는 값은 입력 값과 약간 다를 수 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +|-------------|-------------|-----------| +| `splat` | 위치, 스케일, 회전, 불투명도 및 구면 조화 계수를 포함하는 디코딩된 3D 가우시안 스플랫 | SPLAT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeTripoSplat/ko.md) + +--- +**Source fingerprint (SHA-256):** `60fff70ade38bc820eaea9db26b714daf84a111fb3563477f56f4e8ffa96ff5b` diff --git a/ko/built-in-nodes/VAEEncode.mdx b/ko/built-in-nodes/VAEEncode.mdx new file mode 100644 index 000000000..856cc9734 --- /dev/null +++ b/ko/built-in-nodes/VAEEncode.mdx @@ -0,0 +1,23 @@ +--- +title: "VAEEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAEEncode" +icon: "circle" +mode: wide +--- +이 노드는 지정된 VAE 모델을 사용하여 이미지를 잠재 공간 표현으로 인코딩하도록 설계되었습니다. 인코딩 프로세스의 복잡성을 추상화하여 이미지를 잠재 표현으로 변환하는 간단한 방법을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `픽셀 이미지` | 'pixels' 매개변수는 잠재 공간으로 인코딩할 이미지 데이터를 나타냅니다. 인코딩 프로세스의 직접적인 입력으로 작용하여 출력 잠재 표현을 결정하는 데 중요한 역할을 합니다. | `IMAGE` | +| `vae` | 'vae' 매개변수는 이미지 데이터를 잠재 공간으로 인코딩하는 데 사용할 변분 오토인코더(VAE) 모델을 지정합니다. 인코딩 메커니즘과 생성된 잠재 표현의 특성을 정의하는 데 필수적입니다. | VAE | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 출력은 입력 이미지의 잠재 공간 표현으로, 압축된 형태로 필수 특징을 캡슐화합니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncode/ko.md) diff --git a/ko/built-in-nodes/VAEEncodeAudio.mdx b/ko/built-in-nodes/VAEEncodeAudio.mdx new file mode 100644 index 000000000..80319b23b --- /dev/null +++ b/ko/built-in-nodes/VAEEncodeAudio.mdx @@ -0,0 +1,28 @@ +--- +title: "VAEEncodeAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEEncodeAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAEEncodeAudio" +icon: "circle" +mode: wide +--- +VAEEncodeAudio 노드는 가변 오토인코더(VAE)를 사용하여 오디오 데이터를 잠재 표현으로 변환합니다. 오디오 입력을 받아 VAE를 통해 처리하여 압축된 잠재 샘플을 생성하며, 이는 추가 오디오 생성 또는 조작 작업에 사용할 수 있습니다. 이 노드는 인코딩 전에 필요 시 오디오를 VAE의 예상 샘플 속도에 맞게 자동으로 리샘플링합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `오디오` | 인코딩할 오디오 데이터로, 파형 및 샘플 속도 정보를 포함합니다 | AUDIO | 예 | - | +| `vae` | 오디오를 잠재 공간으로 인코딩하는 데 사용되는 가변 오토인코더 모델입니다 | VAE | 예 | - | + +**참고:** 오디오 입력의 원본 샘플 속도가 VAE의 예상 샘플 속도(기본값: 44100Hz)와 다를 경우, 자동으로 해당 값에 맞게 리샘플링됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `LATENT` | 압축된 샘플을 포함하는 잠재 공간의 인코딩된 오디오 표현입니다 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `db509ab571154c4cedbfc6cae6591bd2b67b2c6e2261766565cdb0205b2c2ecc` diff --git a/ko/built-in-nodes/VAEEncodeForInpaint.mdx b/ko/built-in-nodes/VAEEncodeForInpaint.mdx new file mode 100644 index 000000000..8698f2fea --- /dev/null +++ b/ko/built-in-nodes/VAEEncodeForInpaint.mdx @@ -0,0 +1,25 @@ +--- +title: "VAEEncodeForInpaint - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEEncodeForInpaint node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAEEncodeForInpaint" +icon: "circle" +mode: wide +--- +이 노드는 인페인팅 작업에 적합한 잠재 표현으로 이미지를 인코딩하기 위해 설계되었으며, VAE 모델이 최적으로 인코딩할 수 있도록 입력 이미지와 마스크를 조정하는 추가 전처리 단계를 포함합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `픽셀` | 인코딩할 입력 이미지입니다. 이 이미지는 인코딩 전에 VAE 모델의 예상 입력 차원에 맞게 전처리 및 크기 조정 과정을 거칩니다. | `IMAGE` | +| `vae` | 이미지를 잠재 표현으로 인코딩하는 데 사용되는 VAE 모델입니다. 변환 과정에서 중요한 역할을 하며, 출력 잠재 공간의 품질과 특성을 결정합니다. | VAE | +| `마스크` | 입력 이미지에서 인페인팅할 영역을 나타내는 마스크입니다. 인코딩 전에 이미지를 수정하는 데 사용되며, VAE가 관련 영역에 집중하도록 보장합니다. | `MASK` | +| `마스크 확장` | 잠재 공간에서 매끄러운 전환을 보장하기 위해 인페인팅 마스크를 확장할 크기를 지정합니다. 값이 클수록 인페인팅에 영향을 받는 영역이 증가합니다. | `INT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `latent` | 출력에는 이미지의 인코딩된 잠재 표현과 노이즈 마스크가 포함되며, 둘 모두 후속 인페인팅 작업에 필수적입니다. | `LATENT` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeForInpaint/ko.md) diff --git a/ko/built-in-nodes/VAEEncodeTiled.mdx b/ko/built-in-nodes/VAEEncodeTiled.mdx new file mode 100644 index 000000000..2bc665523 --- /dev/null +++ b/ko/built-in-nodes/VAEEncodeTiled.mdx @@ -0,0 +1,32 @@ +--- +title: "VAEEncodeTiled - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEEncodeTiled node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAEEncodeTiled" +icon: "circle" +mode: wide +--- +VAEEncodeTiled 노드는 이미지를 더 작은 타일로 분할하고 Variational Autoencoder를 사용하여 인코딩합니다. 이 타일 방식은 메모리 제한을 초과할 수 있는 대형 이미지를 처리할 수 있게 해줍니다. 이 노드는 이미지 및 비디오 VAE를 모두 지원하며, 공간 및 시간 차원에 대한 별도의 타일링 제어 기능을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `픽셀` | 인코딩할 입력 이미지 데이터 | IMAGE | 예 | - | +| `vae` | 인코딩에 사용되는 Variational Autoencoder 모델 | VAE | 예 | - | +| `타일 크기` | 공간 처리를 위한 각 타일의 크기 (기본값: 512) | INT | 예 | 64-4096 (단위: 64) | +| `겹침` | 인접 타일 간의 중첩 정도 (기본값: 64) | INT | 예 | 0-4096 (단위: 32) | +| `시간적 크기` | 비디오 VAE에만 사용됨: 한 번에 인코딩할 프레임 수 (기본값: 64) | INT | 예 | 8-4096 (단위: 4) | +| `시간적 겹침` | 비디오 VAE에만 사용됨: 중첩할 프레임 수 (기본값: 8) | INT | 예 | 4-4096 (단위: 4) | + +**참고:** `temporal_size` 및 `temporal_overlap` 매개변수는 비디오 VAE를 사용할 때만 관련이 있으며, 표준 이미지 VAE에는 영향을 미치지 않습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `LATENT` | 입력 이미지의 인코딩된 잠재 표현 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeTiled/ko.md) + +--- +**Source fingerprint (SHA-256):** `87420b96ef9b2d5ef18ecb0339a62b6955151e2a9d2c4390758048c00432939a` diff --git a/ko/built-in-nodes/VAELoader.mdx b/ko/built-in-nodes/VAELoader.mdx new file mode 100644 index 000000000..c419fa702 --- /dev/null +++ b/ko/built-in-nodes/VAELoader.mdx @@ -0,0 +1,24 @@ +--- +title: "VAELoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAELoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAELoader" +icon: "circle" +mode: wide +--- +이 노드는 `ComfyUI/models/vae` 폴더에 있는 모델을 감지하며, extra_model_paths.yaml 파일에 구성된 추가 경로에서도 모델을 읽어옵니다. 때로는 **ComfyUI 인터페이스를 새로고침**하여 해당 폴더에서 모델 파일을 읽도록 해야 할 수도 있습니다. + +VAELoader 노드는 변분 오토인코더(VAE) 모델을 로드하기 위해 설계되었으며, 표준 VAE와 근사 VAE를 모두 처리할 수 있도록 특별히 구성되어 있습니다. 이름으로 VAE를 로드하는 기능을 지원하며, 'taesd' 및 'taesdxl' 모델에 대한 특수 처리를 포함하고, VAE의 특정 구성에 따라 동적으로 조정됩니다. + +## 입력 + +| 필드 | 설명 | Comfy 데이터 타입 | +| --- | --- | --- | +| `vae 파일명` | 로드할 VAE의 이름을 지정하며, 'taesd' 및 'taesdxl'을 포함한 다양한 사전 정의된 VAE 이름을 지원하여 해당 VAE 모델을 가져와 로드합니다. | `COMBO[STRING]` | + +## 출력 + +| 필드 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `vae` | 로드된 VAE 모델을 반환하며, 인코딩 또는 디코딩과 같은 추가 작업에 사용할 수 있습니다. 출력은 로드된 모델의 상태를 캡슐화한 모델 객체입니다. | `VAE` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAELoader/ko.md) diff --git a/ko/built-in-nodes/VAESave.mdx b/ko/built-in-nodes/VAESave.mdx new file mode 100644 index 000000000..5f5b4d7a3 --- /dev/null +++ b/ko/built-in-nodes/VAESave.mdx @@ -0,0 +1,21 @@ +--- +title: "VAESave - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAESave node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VAESave" +icon: "circle" +mode: wide +--- +VAESave 노드는 VAE 모델과 해당 메타데이터(프롬프트 및 추가 PNG 정보 포함)를 지정된 출력 디렉토리에 저장하기 위해 설계되었습니다. 이 노드는 모델 상태와 관련 정보를 파일로 직렬화하는 기능을 캡슐화하여, 학습된 모델의 보존과 공유를 용이하게 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `vae` | 저장할 VAE 모델입니다. 이 매개변수는 직렬화하여 저장할 모델의 상태를 나타내므로 매우 중요합니다. | VAE | +| `파일명 접두사` | 모델과 해당 메타데이터가 저장될 파일 이름의 접두사입니다. 이를 통해 모델을 체계적으로 보관하고 쉽게 검색할 수 있습니다. | STRING | + +## 출력 + +이 노드는 출력 타입이 없습니다. + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAESave/ko.md) diff --git a/ko/built-in-nodes/VOIDInpaintConditioning.mdx b/ko/built-in-nodes/VOIDInpaintConditioning.mdx new file mode 100644 index 000000000..0f395fd35 --- /dev/null +++ b/ko/built-in-nodes/VOIDInpaintConditioning.mdx @@ -0,0 +1,35 @@ +--- +title: "VOIDInpaintConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDInpaintConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDInpaintConditioning" +icon: "circle" +mode: wide +--- +VOIDInpaintConditioning 노드는 CogVideoX 모델의 인페인팅에 필요한 컨디셔닝 데이터를 준비합니다. 소스 비디오와 전처리된 쿼드마스크를 입력받아 VAE를 통해 인코딩한 후, 모델이 마스크 영역을 채우는 데 사용하는 32채널 컨디셔닝 신호로 결합합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `positive` | 인페인팅 잠재 정보로 보강할 포지티브 컨디셔닝 | CONDITIONING | 예 | - | +| `negative` | 인페인팅 잠재 정보로 보강할 네거티브 컨디셔닝 | CONDITIONING | 예 | - | +| `vae` | 마스크와 마스킹된 비디오를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - | +| `video` | 소스 비디오 프레임 [T, H, W, 3] | IMAGE | 예 | - | +| `quadmask` | VOIDQuadmaskPreprocess에서 전처리된 쿼드마스크 [T, H, W] | MASK | 예 | - | +| `width` | 비디오와 마스크를 리사이즈할 너비 (기본값: 672) | INT | 예 | 16 ~ MAX_RESOLUTION (단위: 8) | +| `height` | 비디오와 마스크를 리사이즈할 높이 (기본값: 384) | INT | 예 | 16 ~ MAX_RESOLUTION (단위: 8) | +| `length` | 처리할 픽셀 프레임 수. CogVideoX-Fun-V1.5(patch_size_t=2)의 경우 latent_t가 짝수여야 하므로, 홀수 latent_t를 생성하는 길이는 내림 처리됩니다(예: 49 → 45) (기본값: 45) | INT | 예 | 1 ~ MAX_RESOLUTION (단위: 1) | +| `batch_size` | 출력 노이즈 잠재의 배치 크기 (기본값: 1) | INT | 예 | 1 ~ 64 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `negative` | 인페인팅 잠재 정보가 추가된 포지티브 컨디셔닝 | CONDITIONING | +| `latent` | 인페인팅 잠재 정보가 추가된 네거티브 컨디셔닝 | CONDITIONING | +| `latent` | 형태가 [batch_size, 16, latent_t, latent_h, latent_w]인 0으로 채워진 노이즈 잠재 텐서 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDInpaintConditioning/ko.md) + +--- +**Source fingerprint (SHA-256):** `a1fe36376d7930286c7a288f261dcf2961d6b13cc412d1a0d42af8a4f9ebeeaf` diff --git a/ko/built-in-nodes/VOIDQuadmaskPreprocess.mdx b/ko/built-in-nodes/VOIDQuadmaskPreprocess.mdx new file mode 100644 index 000000000..3ceded156 --- /dev/null +++ b/ko/built-in-nodes/VOIDQuadmaskPreprocess.mdx @@ -0,0 +1,28 @@ +--- +title: "VOIDQuadmaskPreprocess - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDQuadmaskPreprocess node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDQuadmaskPreprocess" +icon: "circle" +mode: wide +--- +## 개요 + +VOIDQuadmaskPreprocess 노드는 마스크를 특수한 4단계 "쿼드마스크"로 변환하여 VOID 인페인팅을 위한 마스크를 준비합니다. 입력 마스크를 받아 선택적으로 주요 영역을 확장한 후, 마스크 값을 서로 다른 의미론적 영역(주요 객체, 중첩 영역, 영향 영역, 배경)을 나타내는 4개의 고유한 수준으로 양자화합니다. 마지막으로 마스크를 반전 및 정규화하여 출력 값이 [0, 1] 범위에 있도록 하며, 1.0은 제거할 영역, 0.0은 유지할 영역을 나타냅니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `mask` | 전처리할 입력 마스크입니다. | MASK | 예 | 해당 없음 | +| `dilate_width` | 주요 마스크 영역의 확장 반경입니다. 0 값은 확장이 적용되지 않음을 의미합니다. (기본값: 0) | INT | 아니요 | 0~50 (단위: 1) | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `quadmask` | [0, 1] 범위의 값을 가진 전처리된 쿼드마스크로, 4개의 개별 수준을 나타냅니다: 1.0(제거할 주요 객체), ~0.75(주요 객체와 영향 영역의 중첩), ~0.50(영향 영역), 0.0(유지할 배경). | MASK | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDQuadmaskPreprocess/ko.md) + +--- +**Source fingerprint (SHA-256):** `12dc5ab215b80d81289942457ce2ddffcb9ec41fc738a53ca5fbf1e9181ed439` diff --git a/ko/built-in-nodes/VOIDSampler.mdx b/ko/built-in-nodes/VOIDSampler.mdx new file mode 100644 index 000000000..66aab1e99 --- /dev/null +++ b/ko/built-in-nodes/VOIDSampler.mdx @@ -0,0 +1,29 @@ +--- +title: "VOIDSampler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDSampler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDSampler" +icon: "circle" +mode: wide +--- +## 개요 + +VOIDSampler 노드는 VOID 인페인팅 모델을 위해 특별히 설계된 전용 DDIM 샘플링 방식을 제공합니다. 이 노드는 표준 KSampler가 적용하는 노이즈 스케일링 없이, VOID 모델 학습 시 사용된 것과 동일한 잡음 제거 프로세스를 구현합니다. 이 노드는 SamplerCustom 또는 SamplerCustomAdvanced 노드와 함께 사용하도록 설계되었으며, RandomNoise 또는 VOIDWarpedNoiseSource와 함께 사용해야 합니다. + +## 입력 + +이 노드는 구성 가능한 입력 매개변수가 없습니다. 고정된 DDIM 샘플링 알고리즘을 적용하는 독립형 샘플러입니다. + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| *입력 없음* | 이 노드는 어떠한 입력 매개변수도 허용하지 않습니다. | - | - | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `SAMPLER` | VOID DDIM 알고리즘을 구현하는 샘플러 객체로, SamplerCustom 또는 SamplerCustomAdvanced 노드에 연결할 수 있습니다. | SAMPLER | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDSampler/ko.md) + +--- +**Source fingerprint (SHA-256):** `c6f1be9a90003906c54cced20e8136ab7e4f7e7118e63b67ce366eeb7f790dca` diff --git a/ko/built-in-nodes/VOIDWarpedNoise.mdx b/ko/built-in-nodes/VOIDWarpedNoise.mdx new file mode 100644 index 000000000..78ca2d4ab --- /dev/null +++ b/ko/built-in-nodes/VOIDWarpedNoise.mdx @@ -0,0 +1,34 @@ +--- +title: "VOIDWarpedNoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDWarpedNoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDWarpedNoise" +icon: "circle" +mode: wide +--- +# 개요 + +VOID 비디오 개선 프로세스의 두 번째 패스(pass)를 위한 시간적 상관관계가 있는 노이즈를 생성합니다. 패스 1의 출력 비디오를 가져와 광학 흐름 벡터를 따라 가우시안 노이즈를 워핑(warping)하여 비디오 콘텐츠와 일관되게 움직이는 노이즈를 만듭니다. 이 워핑된 노이즈는 패스 2의 시작 잠재 변수(latent)로 사용되어 최종 출력의 시간적 일관성을 향상시킵니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `optical_flow` | OpticalFlowLoader(RAFT-large)의 광학 흐름 모델입니다. | MODEL | 예 | - | +| `video` | 패스 1 출력 비디오 프레임 [T, H, W, 3]입니다. | IMAGE | 예 | - | +| `width` | 출력 잠재 변수의 너비입니다 (기본값: 672). | INT | 예 | 16 ~ MAX_RESOLUTION (8단계) | +| `height` | 출력 잠재 변수의 높이입니다 (기본값: 384). | INT | 예 | 16 ~ MAX_RESOLUTION (8단계) | +| `length` | 픽셀 프레임 수입니다. latent_t를 짝수로 만들기 위해 내림 처리됩니다(patch_size_t=2 요구사항). 예: 49 → 45 (기본값: 45). | INT | 예 | 1 ~ MAX_RESOLUTION (1단계) | +| `batch_size` | 생성할 동일한 노이즈 시퀀스의 개수입니다 (기본값: 1). | INT | 예 | 1 ~ 64 | + +**`length` 매개변수 참고:** `length` 값은 짝수 `latent_t` 차원을 생성하는 가장 가까운 유효 값으로 자동 내림 처리됩니다. 이는 CogVideoX-Fun-V1.5 모델의 `patch_size_t=2` 제약 조건에 필요합니다. 내림이 발생하면 경고가 기록됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `warped_noise` | 광학 흐름으로 워핑된 가우시안 노이즈를 포함하는 5D 텐서(B, C, T, H, W)로, VOID 패스 2의 초기 잠재 변수로 사용할 준비가 되었습니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoise/ko.md) + +--- +**Source fingerprint (SHA-256):** `a0f986e54bcc6c455220f89f5d840585a9eae081e522ea11e0ce37ab46821bd9` diff --git a/ko/built-in-nodes/VOIDWarpedNoiseSource.mdx b/ko/built-in-nodes/VOIDWarpedNoiseSource.mdx new file mode 100644 index 000000000..64af958de --- /dev/null +++ b/ko/built-in-nodes/VOIDWarpedNoiseSource.mdx @@ -0,0 +1,27 @@ +--- +title: "VOIDWarpedNoiseSource - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDWarpedNoiseSource node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDWarpedNoiseSource" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 LATENT(VOIDWarpedNoise 노드의 출력 등)를 NOISE 소스로 변환합니다. 이를 통해 왜곡된 노이즈를 SamplerCustomAdvanced 노드와 함께 사용하여 보다 제어된 이미지 생성을 수행할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `warped_noise` | VOIDWarpedNoise에서 생성된 왜곡된 노이즈 잠재값 | LATENT | 예 | 해당 없음 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `NOISE` | SamplerCustomAdvanced와 함께 사용할 수 있는 노이즈 소스 | NOISE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoiseSource/ko.md) + +--- +**Source fingerprint (SHA-256):** `ff798d223da5cf705a40ad1f36cc403030105331d0cc4173e9553cd3718c5d93` diff --git a/ko/built-in-nodes/VPScheduler.mdx b/ko/built-in-nodes/VPScheduler.mdx new file mode 100644 index 000000000..30bc8824e --- /dev/null +++ b/ko/built-in-nodes/VPScheduler.mdx @@ -0,0 +1,25 @@ +--- +title: "VPScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VPScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VPScheduler" +icon: "circle" +mode: wide +--- +VPScheduler 노드는 Variance Preserving(VP) 스케줄링 방식을 기반으로 노이즈 수준(시그마) 시퀀스를 생성하도록 설계되었습니다. 이 시퀀스는 확산 모델의 노이즈 제거 과정을 안내하여 이미지 또는 기타 데이터 유형의 제어된 생성을 가능하게 하는 데 중요합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `스텝 수` | 확산 과정의 단계 수를 지정하며, 생성되는 노이즈 수준의 세분성에 영향을 줍니다. | INT | +| `beta_d` | 전체 노이즈 수준 분포를 결정하며, 생성되는 노이즈 수준의 분산에 영향을 줍니다. | FLOAT | +| `beta_min` | 노이즈 수준의 최소 경계를 설정하여 노이즈가 특정 임계값 아래로 떨어지지 않도록 보장합니다. | FLOAT | +| `eps_s` | 시작 엡실론 값을 조정하여 확산 과정의 초기 노이즈 수준을 미세 조정합니다. | FLOAT | + +## 출력 + +| 매개변수 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `sigmas` | VP 스케줄링 방식을 기반으로 생성된 노이즈 수준(시그마) 시퀀스로, 확산 모델의 노이즈 제거 과정을 안내하는 데 사용됩니다. | SIGMAS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VPScheduler/ko.md) diff --git a/ko/built-in-nodes/Veo3FirstLastFrameNode.mdx b/ko/built-in-nodes/Veo3FirstLastFrameNode.mdx new file mode 100644 index 000000000..bca412069 --- /dev/null +++ b/ko/built-in-nodes/Veo3FirstLastFrameNode.mdx @@ -0,0 +1,38 @@ +--- +title: "Veo3FirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Veo3FirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Veo3FirstLastFrameNode" +icon: "circle" +mode: wide +--- +# Veo3FirstLastFrameNode + +Veo3FirstLastFrameNode는 Google의 Veo 3 모델을 사용하여 텍스트 프롬프트를 기반으로 비디오를 생성하며, 비디오 시퀀스의 시작과 끝을 정의하는 첫 번째 프레임과 마지막 프레임을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 비디오에 대한 텍스트 설명입니다 (기본값: 빈 문자열). | STRING | 예 | 해당 없음 | +| `네거티브 프롬프트` | 비디오에서 제외할 내용을 안내하는 부정 텍스트 프롬프트입니다 (기본값: 빈 문자열). | STRING | 아니요 | 해당 없음 | +| `해상도` | 출력 비디오의 해상도입니다. | COMBO | 예 | `"720p"`
`"1080p"`
`"4k"` | +| `종횡비` | 출력 비디오의 화면 비율입니다 (기본값: "16:9"). | COMBO | 아니요 | `"16:9"`
`"9:16"` | +| `길이` | 출력 비디오의 길이(초)입니다 (기본값: 8). | INT | 아니요 | 4 ~ 8 | +| `시드` | 비디오 생성을 위한 시드 값입니다 (기본값: 0). | INT | 아니요 | 0 ~ 4294967295 | +| `첫 프레임` | 비디오의 시작 프레임입니다. | IMAGE | 예 | 해당 없음 | +| `마지막 프레임` | 비디오의 종료 프레임입니다. | IMAGE | 예 | 해당 없음 | +| `모델` | 생성에 사용할 특정 Veo 3 모델입니다 (기본값: "veo-3.1-generate"). | COMBO | 아니요 | `"veo-3.1-generate"`
`"veo-3.1-fast-generate"`
`"veo-3.1-lite"` | +| `오디오 생성` | 비디오에 오디오를 생성합니다 (기본값: True). | BOOLEAN | 아니요 | 해당 없음 | + +**참고:** `veo-3.1-lite` 모델은 4K 해상도를 지원하지 않습니다. `veo-3.1-lite`와 `4k` 해상도를 선택하면 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `b486b22e71a305172700760bb3eff256b0e571bba75e68f27e23a1e1a1319b5a` diff --git a/ko/built-in-nodes/Veo3VideoGenerationNode.mdx b/ko/built-in-nodes/Veo3VideoGenerationNode.mdx new file mode 100644 index 000000000..707018a79 --- /dev/null +++ b/ko/built-in-nodes/Veo3VideoGenerationNode.mdx @@ -0,0 +1,39 @@ +--- +title: "Veo3VideoGenerationNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Veo3VideoGenerationNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Veo3VideoGenerationNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md) + +Google의 Veo 3 API를 사용하여 텍스트 프롬프트에서 비디오를 생성합니다. 이 노드는 빠른 버전과 라이트 버전을 포함한 여러 Veo 3 모델을 지원하며, 비디오 해상도, 길이 및 오디오 생성을 지정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 비디오에 대한 텍스트 설명 (기본값: "") | STRING | 예 | - | +| `화면비` | 출력 비디오의 화면 비율 (기본값: "16:9") | COMBO | 예 | "16:9"
"9:16" | +| `해상도` | 출력 비디오 해상도. 4K는 veo-3.1-lite 및 veo-3.0 모델에서 사용할 수 없습니다. (기본값: "720p") | COMBO | 아니요 | "720p"
"1080p"
"4k" | +| `네거티브 프롬프트` | 비디오에서 피해야 할 사항을 안내하는 부정 텍스트 프롬프트 (기본값: "") | STRING | 아니요 | - | +| `지속시간_초` | 출력 비디오의 길이(초), 2초 단위 (기본값: 8) | INT | 아니요 | 4-8 | +| `프롬프트 향상` | 이 매개변수는 더 이상 사용되지 않으며 무시됩니다. (기본값: True) | BOOLEAN | 아니요 | - | +| `사람 생성` | 비디오에서 사람 생성을 허용할지 여부 (기본값: "ALLOW") | COMBO | 아니요 | "ALLOW"
"BLOCK" | +| `시드` | 비디오 생성을 위한 시드 (0은 무작위) (기본값: 0) | INT | 아니요 | 0-4294967295 | +| `이미지` | 비디오 생성을 안내하는 선택적 참조 이미지 | IMAGE | 아니요 | - | +| `모델` | 비디오 생성에 사용할 Veo 3 모델 (기본값: "veo-3.0-generate-001") | COMBO | 아니요 | "veo-3.1-generate"
"veo-3.1-fast-generate"
"veo-3.1-lite"
"veo-3.0-generate-001"
"veo-3.0-fast-generate-001" | +| `오디오 생성` | 비디오에 오디오를 생성합니다. 모든 Veo 3 모델에서 지원됩니다. (기본값: False) | BOOLEAN | 아니요 | - | + +**참고:** `enhance_prompt` 매개변수는 더 이상 사용되지 않으며 해당 값은 무시됩니다. 노드는 항상 내부적으로 프롬프트를 향상시킵니다. 또한 `resolution` 매개변수는 veo-3.1 모델을 사용할 때만 적용되며, veo-3.0 모델에서는 무시됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `36ea9d3f0ea717eb7b8146ca35dfdfbe538fbbf164541ee1d1b19b660543e375` diff --git a/ko/built-in-nodes/VeoVideoGenerationNode.mdx b/ko/built-in-nodes/VeoVideoGenerationNode.mdx new file mode 100644 index 000000000..75d7bdc30 --- /dev/null +++ b/ko/built-in-nodes/VeoVideoGenerationNode.mdx @@ -0,0 +1,37 @@ +--- +title: "VeoVideoGenerationNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VeoVideoGenerationNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VeoVideoGenerationNode" +icon: "circle" +mode: wide +--- +# 개요 + +Google Veo 2 API를 사용하여 텍스트 프롬프트로 비디오를 생성합니다. 이 노드는 텍스트 설명과 선택적 이미지 입력을 바탕으로 비디오를 제작할 수 있으며, 화면 비율, 재생 시간 등의 매개변수를 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `프롬프트` | 비디오에 대한 텍스트 설명 (기본값: 비어 있음) | STRING | 예 | - | +| `종횡비` | 출력 비디오의 화면 비율 (기본값: "16:9") | COMBO | 예 | "16:9"
"9:16" | +| `부정 프롬프트` | 비디오에서 제외할 내용을 안내하는 부정 텍스트 프롬프트 (기본값: 비어 있음) | STRING | 아니요 | - | +| `duration_seconds` | 출력 비디오의 재생 시간(초) (기본값: 5) | INT | 아니요 | 5-8 | +| `프롬프트 개선` | AI 지원으로 프롬프트를 향상할지 여부 (기본값: True). 고급 매개변수입니다. | BOOLEAN | 아니요 | - | +| `사람 생성` | 비디오에 사람 생성을 허용할지 여부 (기본값: "ALLOW"). 고급 매개변수입니다. | COMBO | 아니요 | "ALLOW"
"BLOCK" | +| `시드` | 비디오 생성을 위한 시드 (0은 무작위) (기본값: 0). 고급 매개변수입니다. | INT | 아니요 | 0-4294967295 | +| `이미지` | 비디오 생성을 안내하는 선택적 참조 이미지 | IMAGE | 아니요 | - | +| `모델` | 비디오 생성에 사용할 Veo 2 모델 (기본값: "veo-2.0-generate-001") | COMBO | 아니요 | "veo-2.0-generate-001" | + +**참고:** `generate_audio` 매개변수는 Veo 3.0 모델에서만 사용 가능하며, 선택한 모델에 따라 노드에서 자동으로 처리됩니다. Veo 3.0 모델을 사용할 때는 `enhance_prompt` 매개변수가 강제로 True로 설정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VeoVideoGenerationNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `1a8b8ffe82fce32566815248f4a2434a1b865b5e5651935ccb3b92c7e38adee9` diff --git a/ko/built-in-nodes/Video Slice.mdx b/ko/built-in-nodes/Video Slice.mdx new file mode 100644 index 000000000..1d3f44d3b --- /dev/null +++ b/ko/built-in-nodes/Video Slice.mdx @@ -0,0 +1,30 @@ +--- +title: "Video Slice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Video Slice node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Video Slice" +icon: "circle" +mode: wide +--- +# Video Slice + +Video Slice 노드를 사용하면 비디오에서 특정 구간을 추출할 수 있습니다. 시작 시간과 지속 시간을 정의하여 비디오를 자르거나, 단순히 시작 프레임을 건너뛸 수 있습니다. 요청한 지속 시간이 남은 비디오보다 긴 경우, 노드는 사용 가능한 부분을 반환하거나 오류를 발생시킬 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `비디오` | 자를 대상이 되는 입력 비디오입니다. | VIDEO | 예 | - | +| `시작 시간` | 시작 시간(초 단위, 기본값: 0.0)입니다. | FLOAT | 아니요 | -1e5 ~ 1e5 | +| `지속 시간` | 지속 시간(초 단위)이며, 0으로 설정하면 무제한입니다(기본값: 0.0). | FLOAT | 아니요 | 0.0 이상 | +| `엄격한 지속 시간` | True로 설정 시, 지정된 지속 시간을 충족할 수 없을 경우 오류가 발생합니다(기본값: False). | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `비디오` | 잘라낸 비디오 구간입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Video Slice/ko.md) + +--- +**Source fingerprint (SHA-256):** `5e3e3e69931a25183eb01b7b87ec12cbf9f5a748781993dcbeec7a6d5f7260c1` diff --git a/ko/built-in-nodes/VideoLinearCFGGuidance.mdx b/ko/built-in-nodes/VideoLinearCFGGuidance.mdx new file mode 100644 index 000000000..ba6cfc88a --- /dev/null +++ b/ko/built-in-nodes/VideoLinearCFGGuidance.mdx @@ -0,0 +1,23 @@ +--- +title: "VideoLinearCFGGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VideoLinearCFGGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VideoLinearCFGGuidance" +icon: "circle" +mode: wide +--- +VideoLinearCFGGuidance 노드는 비디오 모델에 선형 조건부 안내 스케일을 적용하여, 지정된 범위 내에서 조건부 및 비조건부 구성 요소의 영향을 조정합니다. 이를 통해 생성 과정을 동적으로 제어할 수 있으며, 원하는 조건화 수준에 따라 모델 출력을 세밀하게 조정할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | model 매개변수는 선형 CFG 안내가 적용될 비디오 모델을 나타냅니다. 안내 스케일로 수정될 기본 모델을 정의하는 데 중요합니다. | MODEL | +| `최소 cfg` | min_cfg 매개변수는 적용할 최소 조건부 안내 스케일을 지정하며, 선형 스케일 조정의 시작점 역할을 합니다. 안내 스케일의 하한을 결정하는 데 핵심적인 역할을 하며, 모델 출력에 영향을 줍니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 출력은 입력 모델에 선형 CFG 안내 스케일이 적용된 수정 버전입니다. 이 조정된 모델은 지정된 안내 스케일에 따라 다양한 조건화 수준으로 출력을 생성할 수 있습니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoLinearCFGGuidance/ko.md) diff --git a/ko/built-in-nodes/VideoTriangleCFGGuidance.mdx b/ko/built-in-nodes/VideoTriangleCFGGuidance.mdx new file mode 100644 index 000000000..d2a7eab4a --- /dev/null +++ b/ko/built-in-nodes/VideoTriangleCFGGuidance.mdx @@ -0,0 +1,26 @@ +--- +title: "VideoTriangleCFGGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VideoTriangleCFGGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VideoTriangleCFGGuidance" +icon: "circle" +mode: wide +--- +VideoTriangleCFGGuidance 노드는 비디오 모델에 삼각형 분류기-프리 가이던스 스케일링 패턴을 적용합니다. 최소 CFG 값과 원래 컨디셔닝 스케일 사이를 진동하는 삼각파 함수를 사용하여 시간에 따라 컨디셔닝 스케일을 수정합니다. 이를 통해 동적인 가이던스 패턴이 생성되어 비디오 생성의 일관성과 품질을 향상시키는 데 도움이 될 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 삼각형 CFG 가이던스를 적용할 비디오 모델 | MODEL | 예 | - | +| `최소 cfg` | 삼각형 패턴의 최소 CFG 스케일 값 (기본값: 1.0) | FLOAT | 예 | 0.0 - 100.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 삼각형 CFG 가이던스가 적용된 수정된 모델 | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoTriangleCFGGuidance/ko.md) + +--- +**Source fingerprint (SHA-256):** `0b854d78f32e265b1a4322cb11b231df33e6072611142537e0c8cff4e93db49a` diff --git a/ko/built-in-nodes/Vidu2ImageToVideoNode.mdx b/ko/built-in-nodes/Vidu2ImageToVideoNode.mdx new file mode 100644 index 000000000..7fb147cf7 --- /dev/null +++ b/ko/built-in-nodes/Vidu2ImageToVideoNode.mdx @@ -0,0 +1,37 @@ +--- +title: "Vidu2ImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu2ImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Vidu2ImageToVideoNode" +icon: "circle" +mode: wide +--- +Vidu2 이미지-투-비디오 생성 노드는 단일 입력 이미지로부터 비디오 시퀀스를 생성합니다. 선택적 텍스트 프롬프트를 기반으로 지정된 Vidu2 모델을 사용하여 장면에 애니메이션을 적용하며, 비디오 길이, 해상도 및 움직임 강도를 제어합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 Vidu2 모델입니다. 각 모델은 속도와 품질 간의 다양한 절충안을 제공합니다. | COMBO | 예 | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` | +| `image` | 생성된 비디오의 시작 프레임으로 사용할 이미지입니다. 하나의 이미지만 허용됩니다. | IMAGE | 예 | - | +| `prompt` | 비디오 생성을 위한 선택적 텍스트 프롬프트입니다(최대 2000자). 기본값은 빈 문자열입니다. | STRING | 아니요 | - | +| `duration` | 생성된 비디오의 길이(초)입니다. 기본값은 5입니다. | INT | 예 | 1 ~ 10 | +| `seed` | 재현 가능한 결과를 보장하기 위한 난수 생성 시드 값입니다. 기본값은 1입니다. | INT | 아니요 | 0 ~ 2147483647 | +| `resolution` | 생성된 비디오의 출력 해상도입니다. 이 매개변수는 고급 설정입니다. | COMBO | 예 | `"720p"`
`"1080p"` | +| `movement_amplitude` | 프레임 내 객체의 움직임 진폭입니다. 이 매개변수는 고급 설정입니다. | COMBO | 예 | `"auto"`
`"small"`
`"medium"`
`"large"` | + +**제약 사항:** + +* `image` 입력은 정확히 하나의 이미지를 포함해야 합니다. +* 입력 이미지의 가로 세로 비율은 1:4에서 4:1 사이여야 합니다. +* `prompt` 텍스트는 최대 2000자로 제한됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `204f8d2b9edf17c2c180480f98a852718416a54725d92e5fec574b8517ada398` diff --git a/ko/built-in-nodes/Vidu2ReferenceVideoNode.mdx b/ko/built-in-nodes/Vidu2ReferenceVideoNode.mdx new file mode 100644 index 000000000..19ff8c42b --- /dev/null +++ b/ko/built-in-nodes/Vidu2ReferenceVideoNode.mdx @@ -0,0 +1,43 @@ +--- +title: "Vidu2ReferenceVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu2ReferenceVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Vidu2ReferenceVideoNode" +icon: "circle" +mode: wide +--- +# Vidu2 참조-비디오 생성 노드 + +Vidu2 참조-비디오 생성 노드는 텍스트 프롬프트와 여러 참조 이미지를 기반으로 비디오를 생성합니다. 최대 7개의 주제를 정의할 수 있으며, 각 주제마다 고유한 참조 이미지 세트를 지정할 수 있습니다. 프롬프트에서 `@subject{subject_id}`를 사용하여 주제를 참조할 수 있습니다. 이 노드는 지속 시간, 화면 비율 및 움직임을 구성 가능한 비디오를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 AI 모델입니다. | COMBO | 예 | `"viduq2"` | +| `subjects` | 각 주제에 대해 최대 3개의 참조 이미지를 제공합니다(모든 주제 합쳐 총 7개 이미지). 프롬프트에서 `@subject{subject_id}`를 통해 참조합니다. | AUTOGROW | 예 | 해당 없음 | +| `prompt` | 비디오 생성을 안내하는 텍스트 설명입니다. `audio` 매개변수가 활성화되면 이 프롬프트를 기반으로 생성된 음성 및 배경 음악이 비디오에 포함됩니다. | STRING | 예 | 해당 없음 | +| `audio` | 활성화하면 프롬프트를 기반으로 생성된 음성 및 배경 음악이 비디오에 포함됩니다(기본값: `False`). | BOOLEAN | 아니요 | 해당 없음 | +| `duration` | 생성된 비디오의 길이(초)입니다(기본값: `5`). | INT | 아니요 | 1 ~ 10 | +| `seed` | 재현 가능한 결과를 위해 생성 과정의 무작위성을 제어하는 숫자입니다(기본값: `1`). | INT | 아니요 | 0 ~ 2147483647 | +| `aspect_ratio` | 비디오 프레임의 형태입니다. | COMBO | 아니요 | `"16:9"`
`"9:16"`
`"4:3"`
`"3:4"`
`"1:1"` | +| `resolution` | 출력 비디오의 픽셀 해상도입니다. | COMBO | 아니요 | `"720p"`
`"1080p"` | +| `movement_amplitude` | 프레임 내 객체의 움직임 진폭을 제어합니다. | COMBO | 아니요 | `"auto"`
`"small"`
`"medium"`
`"large"` | + +**제약 사항:** + +* `prompt`는 1자에서 2000자 사이여야 합니다. +* 여러 주제를 정의할 수 있지만, 모든 주제의 참조 이미지 총 개수는 7개를 초과할 수 없습니다. +* 각 개별 주제는 최대 3개의 참조 이미지를 가질 수 있습니다. +* 각 참조 이미지의 가로-세로 비율은 1:4에서 4:1 사이여야 합니다. +* 각 참조 이미지는 가로와 세로 모두 최소 128픽셀 이상이어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `3e02b05a0e374442a6ca4ce6a3dbc182b4059e19b5ed7dfc2794e036de7beffd` diff --git a/ko/built-in-nodes/Vidu2StartEndToVideoNode.mdx b/ko/built-in-nodes/Vidu2StartEndToVideoNode.mdx new file mode 100644 index 000000000..c01df8b99 --- /dev/null +++ b/ko/built-in-nodes/Vidu2StartEndToVideoNode.mdx @@ -0,0 +1,36 @@ +--- +title: "Vidu2StartEndToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu2StartEndToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Vidu2StartEndToVideoNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md) + +이 노드는 제공된 시작 프레임과 종료 프레임 사이를 보간하여 텍스트 프롬프트에 따라 비디오를 생성합니다. 지정된 Vidu 모델을 사용하여 설정된 시간 동안 두 이미지 간의 부드러운 전환을 만듭니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 Vidu 모델입니다. | COMBO | 예 | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` | +| `first_frame` | 비디오 시퀀스의 시작 이미지입니다. 단일 이미지만 허용됩니다. | IMAGE | 예 | - | +| `end_frame` | 비디오 시퀀스의 종료 이미지입니다. 단일 이미지만 허용됩니다. | IMAGE | 예 | - | +| `prompt` | 비디오 생성을 안내하는 텍스트 설명입니다(최대 2000자). | STRING | 예 | - | +| `duration` | 생성된 비디오의 길이(초)입니다(기본값: 5). | INT | 아니요 | 2 ~ 8 | +| `seed` | 재현 가능한 결과를 위해 무작위 생성을 초기화하는 데 사용되는 숫자입니다(기본값: 1). | INT | 아니요 | 0 ~ 2147483647 | +| `resolution` | 생성된 비디오의 출력 해상도입니다. | COMBO | 아니요 | `"720p"`
`"1080p"` | +| `movement_amplitude` | 프레임 내 객체의 움직임 진폭입니다. | COMBO | 아니요 | `"auto"`
`"small"`
`"medium"`
`"large"` | + +**참고:** `first_frame` 및 `end_frame` 이미지는 유사한 종횡비를 가져야 합니다. 노드는 종횡비가 0.8에서 1.25 사이의 상대적 범위 내에 있는지 확인합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `0a2a125fcb0a519e3aa98ed846f0c7bdc14644a27aaaab3953d55945f787de2a` diff --git a/ko/built-in-nodes/Vidu2TextToVideoNode.mdx b/ko/built-in-nodes/Vidu2TextToVideoNode.mdx new file mode 100644 index 000000000..d24375bd1 --- /dev/null +++ b/ko/built-in-nodes/Vidu2TextToVideoNode.mdx @@ -0,0 +1,33 @@ +--- +title: "Vidu2TextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu2TextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Vidu2TextToVideoNode" +icon: "circle" +mode: wide +--- +# Vidu2 텍스트-비디오 생성 노드 + +Vidu2 텍스트-비디오 생성 노드는 텍스트 설명을 기반으로 비디오를 생성합니다. 외부 API에 연결하여 프롬프트에 따라 비디오 콘텐츠를 생성하며, 비디오 길이, 시각적 스타일 및 형식을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 AI 모델입니다. 현재는 하나의 모델만 사용 가능합니다. | COMBO | 예 | `"viduq2"` | +| `prompt` | 비디오 생성을 위한 텍스트 설명이며, 최대 2000자까지 입력할 수 있습니다. | STRING | 예 | - | +| `duration` | 생성된 비디오의 길이(초)입니다. 슬라이더를 사용하여 값을 조정할 수 있습니다(기본값: 5). | INT | 아니요 | 1 ~ 10 | +| `seed` | 생성 과정의 무작위성을 제어하는 숫자로, 재현 가능한 결과를 얻을 수 있습니다. 생성 후에도 제어할 수 있습니다(기본값: 1). | INT | 아니요 | 0 ~ 2147483647 | +| `aspect_ratio` | 비디오의 가로와 세로 비율 관계입니다. | COMBO | 아니요 | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | +| `resolution` | 생성된 비디오의 픽셀 해상도입니다. 고급 매개변수입니다. | COMBO | 아니요 | `"720p"`
`"1080p"` | +| `background_music` | 생성된 비디오에 배경 음악을 추가할지 여부입니다(기본값: False). 고급 매개변수입니다. | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `1e9e3629806e9b5a66d8f830d8ec33ef208a7a27b53caf43b44f7b746a85014b` diff --git a/ko/built-in-nodes/Vidu3ImageToVideoNode.mdx b/ko/built-in-nodes/Vidu3ImageToVideoNode.mdx new file mode 100644 index 000000000..c6336b1e5 --- /dev/null +++ b/ko/built-in-nodes/Vidu3ImageToVideoNode.mdx @@ -0,0 +1,33 @@ +--- +title: "Vidu3ImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu3ImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Vidu3ImageToVideoNode" +icon: "circle" +mode: wide +--- +Vidu Q3 이미지-투-비디오 생성 노드는 입력 이미지로부터 비디오 시퀀스를 생성합니다. Vidu Q3 모델을 사용하여 이미지에 애니메이션을 적용하며, 선택적으로 텍스트 프롬프트에 의해 안내되어 비디오 파일을 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 모델입니다. | COMBO | 예 | `"viduq3-pro"`
`"viduq3-turbo"` | +| `model.resolution` | 출력 비디오의 해상도입니다. 사용 가능한 옵션은 선택한 모델에 따라 달라집니다. | COMBO | 예 | `"720p"`
`"1080p"`
`"2K"` (viduq3-pro 전용) | +| `model.duration` | 출력 비디오의 길이(초)입니다(기본값: 5). | INT | 예 | 1 ~ 16 | +| `model.audio` | 활성화하면 대화 및 음향 효과를 포함한 사운드가 있는 비디오를 출력합니다(기본값: False). | BOOLEAN | 예 | `True` / `False` | +| `image` | 생성된 비디오의 시작 프레임으로 사용할 이미지입니다. | IMAGE | 예 | - | +| `prompt` | 비디오 생성을 위한 선택적 텍스트 프롬프트입니다(최대 2000자)(기본값: 비어 있음). | STRING | 아니요 | - | +| `seed` | 생성의 무작위성을 제어하기 위한 시드 값입니다(기본값: 1). | INT | 아니요 | 0 ~ 2147483647 | + +**참고:** `image`의 종횡비는 1:4에서 4:1 사이(세로에서 가로)여야 합니다. `prompt`는 선택 사항이지만 2000자를 초과할 수 없습니다. `model.resolution` 옵션은 선택한 `model`에 따라 달라집니다. `"viduq3-pro"`는 `"720p"`, `"1080p"`, `"2K"`를 지원하고, `"viduq3-turbo"`는 `"720p"`와 `"1080p"`를 지원합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `1dd3929860ee4a04b761014fd2cf7e9e32f9171d8b18fe1e93f27d0905ca04ee` diff --git a/ko/built-in-nodes/Vidu3StartEndToVideoNode.mdx b/ko/built-in-nodes/Vidu3StartEndToVideoNode.mdx new file mode 100644 index 000000000..ae18f6ff7 --- /dev/null +++ b/ko/built-in-nodes/Vidu3StartEndToVideoNode.mdx @@ -0,0 +1,36 @@ +--- +title: "Vidu3StartEndToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu3StartEndToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Vidu3StartEndToVideoNode" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md) + +이 노드는 제공된 시작 프레임과 종료 프레임 사이를 보간하여 텍스트 프롬프트에 따라 비디오를 생성합니다. Vidu Q3 모델을 사용하여 두 이미지 간의 원활한 전환을 만들고, 지정된 길이와 해상도의 비디오를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 비디오 생성에 사용할 모델입니다. 옵션을 선택하면 `resolution`, `duration`, `audio`에 대한 추가 구성 매개변수가 표시됩니다. | COMBO | 예 | `"viduq3-pro"`
`"viduq3-turbo"` | +| `model.resolution` | 출력 비디오의 해상도입니다. 이 매개변수는 `모델`을 선택한 후 표시됩니다. | COMBO | 예 | `"720p"`
`"1080p"` | +| `model.duration` | 출력 비디오의 길이(초)입니다(기본값: 5). 이 매개변수는 `모델`을 선택한 후 표시됩니다. | INT | 예 | 1 ~ 16 | +| `model.audio` | 활성화하면 대화 및 음향 효과를 포함한 사운드가 있는 비디오를 출력합니다(기본값: False). 이 매개변수는 `모델`을 선택한 후 표시됩니다. | BOOLEAN | 예 | `True` / `False` | +| `시작 프레임` | 비디오 시퀀스의 시작 이미지입니다. | IMAGE | 예 | - | +| `종료 프레임` | 비디오 시퀀스의 종료 이미지입니다. | IMAGE | 예 | - | +| `프롬프트` | 비디오 생성을 안내하는 텍스트 설명입니다(최대 2000자). | STRING | 예 | - | +| `시드` | 생성의 무작위성을 제어하기 위한 시드 값입니다(기본값: 1). | INT | 아니요 | 0 ~ 2147483647 | + +**참고:** 최적의 결과를 위해 `first_frame`과 `end_frame` 이미지는 유사한 종횡비를 가져야 합니다. 두 이미지의 종횡비는 서로 80%에서 125% 사이(상대적 근접도 0.8에서 1.25)여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `video` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `4a0a8d6657702d80278dc9239370683f408d7c051e91e8396939b7b81b87b4ed` diff --git a/ko/built-in-nodes/Vidu3TextToVideoNode.mdx b/ko/built-in-nodes/Vidu3TextToVideoNode.mdx new file mode 100644 index 000000000..34b8aca98 --- /dev/null +++ b/ko/built-in-nodes/Vidu3TextToVideoNode.mdx @@ -0,0 +1,35 @@ +--- +title: "Vidu3TextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu3TextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Vidu3TextToVideoNode" +icon: "circle" +mode: wide +--- +# Vidu Q3 텍스트-비디오 생성 노드 + +Vidu Q3 텍스트-비디오 생성 노드는 텍스트 설명을 기반으로 비디오를 생성합니다. Vidu Q3 Pro 또는 Q3 Turbo 모델을 사용하여 사용자의 프롬프트에 따라 비디오 콘텐츠를 생성하며, 비디오 길이, 해상도, 화면 비율 및 오디오 포함 여부를 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 모델입니다. 모델을 선택하면 화면 비율, 해상도, 지속 시간 및 오디오에 대한 추가 구성 매개변수가 표시됩니다. | COMBO | 예 | `"viduq3-pro"`
`"viduq3-turbo"` | +| `model.aspect_ratio` | 출력 비디오의 화면 비율입니다. 이 매개변수는 `model`을 선택하면 표시됩니다. | COMBO | 예* | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | +| `model.resolution` | 출력 비디오의 해상도입니다. 이 매개변수는 `model`을 선택하면 표시됩니다. | COMBO | 예* | `"720p"`
`"1080p"` | +| `model.duration` | 출력 비디오의 길이(초)입니다(기본값: 5). 이 매개변수는 `model`을 선택하면 표시됩니다. | INT | 예* | 1 ~ 16 | +| `model.audio` | 활성화하면 사운드(대화 및 음향 효과 포함)가 포함된 비디오를 출력합니다(기본값: False). 이 매개변수는 `model`을 선택하면 표시됩니다. | BOOLEAN | 예* | True/False | +| `prompt` | 비디오 생성을 위한 텍스트 설명으로, 최대 길이는 2000자입니다. | STRING | 예 | 해당 없음 | +| `seed` | 생성의 무작위성을 제어하기 위한 시드 값입니다(기본값: 1). | INT | 아니요 | 0 ~ 2147483647 | + +*참고: `aspect_ratio`, `resolution`, `duration`, `audio` 매개변수는 `model`을 선택하면 필수 항목이 되며, 이는 모델 구성의 일부입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `video` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `a98b6c3093d659a5a4344c2c495063acf47a7922bf7d1fc851c3b8d8c0c87c5e` diff --git a/ko/built-in-nodes/ViduExtendVideoNode.mdx b/ko/built-in-nodes/ViduExtendVideoNode.mdx new file mode 100644 index 000000000..67b5bf31c --- /dev/null +++ b/ko/built-in-nodes/ViduExtendVideoNode.mdx @@ -0,0 +1,35 @@ +--- +title: "ViduExtendVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ViduExtendVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ViduExtendVideoNode" +icon: "circle" +mode: wide +--- +# ViduExtendVideoNode + +ViduExtendVideoNode는 기존 비디오의 길이를 연장하기 위해 추가 프레임을 생성합니다. 지정된 AI 모델을 사용하여 소스 비디오와 선택적 텍스트 프롬프트를 기반으로 자연스러운 연속 영상을 만듭니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 연장에 사용할 AI 모델입니다. 모델을 선택하면 해당 모델의 특정 지속 시간 및 해상도 설정이 표시됩니다. | COMBO | 예 | `"viduq2-pro"`
`"viduq2-turbo"` | +| `model.duration` | 연장된 비디오의 길이(초)입니다(기본값: 4). 이 설정은 모델을 선택한 후에 나타납니다. | INT | 예 | 1~7 | +| `model.resolution` | 출력 비디오의 해상도입니다. 이 설정은 모델을 선택한 후에 나타납니다. | COMBO | 예 | `"720p"`
`"1080p"` | +| `video` | 연장할 소스 비디오입니다. | VIDEO | 예 | - | +| `prompt` | 연장된 비디오의 내용을 안내하는 선택적 텍스트 프롬프트입니다(최대 2000자, 기본값: 비어 있음). | STRING | 아니요 | - | +| `seed` | 생성 과정의 무작위성을 제어하기 위한 시드 값입니다(기본값: 1). | INT | 아니요 | 0~2147483647 | +| `end_frame` | 연장 영상의 대상 종료 프레임으로 사용할 선택적 이미지입니다. 제공하는 경우 가로 세로 비율이 1:4에서 4:1 사이여야 하며, 최소 128x128픽셀 이상이어야 합니다. | IMAGE | 아니요 | - | + +**참고:** 소스 `video`의 길이는 4초에서 55초 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 연장된 영상이 포함된 새로 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduExtendVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `44b942413c8aed2fc0049386a31c441f6f870ba4220b0c439dfc436079229446` diff --git a/ko/built-in-nodes/ViduImageToVideoNode.mdx b/ko/built-in-nodes/ViduImageToVideoNode.mdx new file mode 100644 index 000000000..92d4085a9 --- /dev/null +++ b/ko/built-in-nodes/ViduImageToVideoNode.mdx @@ -0,0 +1,36 @@ +--- +title: "ViduImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ViduImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ViduImageToVideoNode" +icon: "circle" +mode: wide +--- +Vidu 이미지-투-비디오 생성 노드는 시작 이미지와 선택적 텍스트 설명을 사용하여 짧은 비디오를 생성합니다. 제공된 이미지 프레임에서 이어지는 비디오 콘텐츠를 AI 모델로 생성하며, 결과 비디오를 반환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 모델 이름 (기본값: viduq1) | COMBO | 예 | `viduq1` | +| `image` | 생성된 비디오의 시작 프레임으로 사용할 이미지 | IMAGE | 예 | - | +| `prompt` | 비디오 생성을 위한 텍스트 설명 (기본값: 비어 있음) | STRING | 아니요 | - | +| `duration` | 출력 비디오의 길이(초) (기본값: 5, 5초로 고정) | INT | 아니요 | 5-5 | +| `seed` | 비디오 생성을 위한 시드 (0은 무작위) (기본값: 0) | INT | 아니요 | 0-2147483647 | +| `resolution` | 지원되는 값은 모델 및 길이에 따라 다를 수 있음 (기본값: 1080p) | COMBO | 아니요 | `1080p` | +| `movement_amplitude` | 프레임 내 객체의 움직임 진폭 (기본값: auto) | COMBO | 아니요 | `auto`
`small`
`medium`
`large` | + +**제약 사항:** + +- 하나의 입력 이미지만 허용됩니다(여러 이미지 처리 불가). +- 입력 이미지의 가로세로 비율은 1:4에서 4:1 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 출력 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduImageToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `064b3efba8219770595e68a6607a6f8113d1be7c9f3863a4740ee5c3a146d91e` diff --git a/ko/built-in-nodes/ViduMultiFrameVideoNode.mdx b/ko/built-in-nodes/ViduMultiFrameVideoNode.mdx new file mode 100644 index 000000000..3c719f2c9 --- /dev/null +++ b/ko/built-in-nodes/ViduMultiFrameVideoNode.mdx @@ -0,0 +1,38 @@ +--- +title: "ViduMultiFrameVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ViduMultiFrameVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ViduMultiFrameVideoNode" +icon: "circle" +mode: wide +--- +이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md) + +이 노드는 여러 키프레임 간의 전환을 생성하여 비디오를 제작합니다. 초기 이미지에서 시작하여 사용자가 정의한 일련의 종료 이미지와 프롬프트를 통해 애니메이션을 적용하며, 최종적으로 단일 비디오 파일을 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 Vidu 모델입니다. | COMBO | 예 | `"viduq2-pro"`
`"viduq2-turbo"` | +| `start_image` | 시작 프레임 이미지입니다. 화면 비율은 1:4에서 4:1 사이여야 합니다. | IMAGE | 예 | - | +| `seed` | 재현 가능한 결과를 보장하기 위한 난수 생성 시드 값입니다(기본값: 1). | INT | 아니요 | 0 ~ 2147483647 | +| `resolution` | 출력 비디오의 해상도입니다. | COMBO | 예 | `"720p"`
`"1080p"` | +| `frames` | 키프레임 전환 횟수입니다(2-9). 값을 선택하면 각 프레임에 필요한 입력이 동적으로 표시됩니다. | DYNAMICCOMBO | 예 | `"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"` | + +**프레임 입력(동적으로 표시됨):** +`frames` 값(예: "3")을 선택하면 노드는 각 전환에 해당하는 필수 입력 세트를 표시합니다. 선택한 횟수만큼 각 프레임 `i`(1부터 시작)에 대해 다음을 제공해야 합니다: + +* `end_image{i}` (IMAGE): 이 전환의 대상 이미지입니다. 화면 비율은 1:4에서 4:1 사이여야 합니다. +* `prompt{i}` (STRING): 이 프레임으로의 전환을 안내하는 텍스트 설명입니다(최대 2000자). +* `duration{i}` (INT): 이 특정 전환 구간의 지속 시간(초)입니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 모든 애니메이션 전환이 포함된 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `02ddbb1e041b6d9e6654ab6c3cc25f4c2e5bc1545d84a30624608edc85e51f96` diff --git a/ko/built-in-nodes/ViduReferenceVideoNode.mdx b/ko/built-in-nodes/ViduReferenceVideoNode.mdx new file mode 100644 index 000000000..761829d55 --- /dev/null +++ b/ko/built-in-nodes/ViduReferenceVideoNode.mdx @@ -0,0 +1,42 @@ +--- +title: "ViduReferenceVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ViduReferenceVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ViduReferenceVideoNode" +icon: "circle" +mode: wide +--- +# Vidu 참조 비디오 노드 + +Vidu 참조 비디오 노드는 여러 참조 이미지와 텍스트 프롬프트를 기반으로 비디오를 생성합니다. AI 모델을 사용하여 제공된 이미지와 설명에 기반한 일관된 비디오 콘텐츠를 만듭니다. 이 노드는 지속 시간, 화면 비율, 해상도 및 움직임 제어를 포함한 다양한 비디오 설정을 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성을 위한 모델 이름 (기본값: "viduq1") | COMBO | 예 | `"viduq1"` | +| `images` | 일관된 주제로 비디오를 생성하기 위해 참조로 사용할 이미지 (최대 7개 이미지) | IMAGE | 예 | - | +| `prompt` | 비디오 생성을 위한 텍스트 설명 | STRING | 예 | - | +| `duration` | 출력 비디오의 지속 시간(초) (기본값: 5) | INT | 아니요 | 5-5 | +| `seed` | 비디오 생성을 위한 시드 (0은 무작위) (기본값: 0) | INT | 아니요 | 0-2147483647 | +| `aspect_ratio` | 출력 비디오의 화면 비율 (기본값: "16:9") | COMBO | 아니요 | `"16:9"`
`"9:16"`
`"1:1"` | +| `resolution` | 지원되는 값은 모델 및 지속 시간에 따라 다를 수 있음 (기본값: "1080p") | COMBO | 아니요 | `"1080p"` | +| `movement_amplitude` | 프레임 내 객체의 움직임 진폭 (기본값: "auto") | COMBO | 아니요 | `"auto"`
`"small"`
`"medium"`
`"large"` | + +**제약 사항 및 한계:** + +- `prompt` 필드는 필수이며 비워둘 수 없습니다. +- 참조 이미지는 최대 7개까지 허용됩니다. +- 각 이미지의 화면 비율은 1:4에서 4:1 사이여야 합니다. +- 각 이미지의 최소 크기는 128x128 픽셀입니다. +- 지속 시간은 5초로 고정되어 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 참조 이미지와 프롬프트를 기반으로 생성된 비디오 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduReferenceVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `11a7de2f50658467f63d284ef6b95d91dcdd39b4e6e5cea3b8d2f2a5d63a3020` diff --git a/ko/built-in-nodes/ViduStartEndToVideoNode.mdx b/ko/built-in-nodes/ViduStartEndToVideoNode.mdx new file mode 100644 index 000000000..f46deb1c9 --- /dev/null +++ b/ko/built-in-nodes/ViduStartEndToVideoNode.mdx @@ -0,0 +1,36 @@ +--- +title: "ViduStartEndToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ViduStartEndToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ViduStartEndToVideoNode" +icon: "circle" +mode: wide +--- +# Vidu 시작-종료 프레임 영상 생성 노드 + +Vidu 시작-종료 프레임 영상 생성 노드는 시작 프레임과 종료 프레임 사이의 프레임을 생성하여 영상을 만듭니다. 텍스트 프롬프트를 사용하여 영상 생성 과정을 안내하며, 다양한 해상도와 움직임 설정을 지원하는 여러 영상 모델을 제공합니다. 이 노드는 처리 전에 시작 프레임과 종료 프레임의 종횡비가 호환되는지 확인합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 모델 이름 | COMBO | 예 | `"viduq1"` | +| `first_frame` | 시작 프레임 | IMAGE | 예 | - | +| `end_frame` | 종료 프레임 | IMAGE | 예 | - | +| `prompt` | 영상 생성을 위한 텍스트 설명 | STRING | 아니요 | - | +| `지속 시간` | 출력 영상의 길이(초) (기본값: 5, 5초로 고정) | INT | 아니요 | 5-5 | +| `시드` | 영상 생성을 위한 시드 (0은 무작위) (기본값: 0) | INT | 아니요 | 0-2147483647 | +| `해상도` | 지원되는 값은 모델 및 길이에 따라 다를 수 있습니다 (기본값: "1080p") | COMBO | 아니요 | `"1080p"` | +| `움직임 강도` | 프레임 내 객체의 움직임 진폭 (기본값: "auto") | COMBO | 아니요 | `"auto"`
`"small"`
`"medium"`
`"large"` | + +**참고:** 시작 프레임과 종료 프레임은 호환 가능한 종횡비를 가져야 합니다 (최소 비율 0.8, 최대 비율 1.25의 허용 오차로 검증됨). + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 영상 파일 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `d859d67b3ff73977b95e3903b461509f933f9652fedc016e1cd362f6bef1b8dc` diff --git a/ko/built-in-nodes/ViduTextToVideoNode.mdx b/ko/built-in-nodes/ViduTextToVideoNode.mdx new file mode 100644 index 000000000..e423e1f21 --- /dev/null +++ b/ko/built-in-nodes/ViduTextToVideoNode.mdx @@ -0,0 +1,33 @@ +--- +title: "ViduTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ViduTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ViduTextToVideoNode" +icon: "circle" +mode: wide +--- +Vidu 텍스트-비디오 생성 노드는 텍스트 설명을 기반으로 비디오를 생성합니다. Vidu 비디오 생성 모델을 사용하여 텍스트 프롬프트를 지속 시간, 화면 비율 및 시각적 스타일에 대한 사용자 정의 설정과 함께 비디오 콘텐츠로 변환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 모델 이름 | COMBO | 예 | `viduq1` | +| `프롬프트` | 비디오 생성을 위한 텍스트 설명 | STRING | 예 | - | +| `지속 시간` | 출력 비디오의 길이(초) (기본값: 5) | INT | 아니요 | 5-5 | +| `시드` | 비디오 생성을 위한 시드 (0은 무작위) (기본값: 0) | INT | 아니요 | 0-2147483647 | +| `화면비` | 출력 비디오의 화면 비율 | COMBO | 아니요 | `16:9`
`9:16`
`1:1` | +| `해상도` | 지원되는 값은 모델 및 지속 시간에 따라 다를 수 있습니다 | COMBO | 아니요 | `1080p` | +| `움직임 강도` | 프레임 내 객체의 움직임 진폭 | COMBO | 아니요 | `auto`
`small`
`medium`
`large` | + +**참고:** `prompt` 필드는 필수이며 비워둘 수 없습니다. `duration` 매개변수는 현재 5초로 고정되어 있습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 텍스트 프롬프트를 기반으로 생성된 비디오 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduTextToVideoNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `0d331d3eab8a4af9c90831f3f8fd8ae34aa0c393142cb6f89404edc94024d95f` diff --git a/ko/built-in-nodes/VoxelToMesh.mdx b/ko/built-in-nodes/VoxelToMesh.mdx new file mode 100644 index 000000000..07ff5381b --- /dev/null +++ b/ko/built-in-nodes/VoxelToMesh.mdx @@ -0,0 +1,26 @@ +--- +title: "VoxelToMesh - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VoxelToMesh node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VoxelToMesh" +icon: "circle" +mode: wide +--- +VoxelToMeshBasic 노드는 지정된 임계값에서 표면을 추출하여 3D 복셀 데이터를 메시 지오메트리로 변환합니다. 입력된 각 복셀 그리드를 처리하여 3D 메시 표현을 구성하는 정점과 면을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `복셀` | 메시 지오메트리로 변환할 입력 복셀 데이터입니다 | VOXEL | 예 | - | +| `임계값` | 표면 추출을 위한 임계값입니다 (기본값: 0.6) | FLOAT | 예 | -1.0 ~ 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MESH` | 모든 입력 복셀 그리드에서 추출된 정점과 면이 결합된 생성된 3D 메시입니다 | MESH | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMesh/ko.md) + +--- +**Source fingerprint (SHA-256):** `36df962c84c99a83f243a59b6387874e42e7d05323bd84079dbab112d2f1b67c` diff --git a/ko/built-in-nodes/VoxelToMeshBasic.mdx b/ko/built-in-nodes/VoxelToMeshBasic.mdx new file mode 100644 index 000000000..63bcaab6e --- /dev/null +++ b/ko/built-in-nodes/VoxelToMeshBasic.mdx @@ -0,0 +1,26 @@ +--- +title: "VoxelToMeshBasic - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VoxelToMeshBasic node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VoxelToMeshBasic" +icon: "circle" +mode: wide +--- +VoxelToMeshBasic 노드는 3D 복셀 데이터를 메시 지오메트리로 변환합니다. 임계값을 적용하여 복셀 볼륨 중 어떤 부분이 결과 메시에서 솔리드 표면이 될지를 결정하는 방식으로 복셀 볼륨을 처리합니다. 이 노드는 3D 렌더링 및 모델링에 사용할 수 있는 정점과 면을 포함한 완전한 메시 구조를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `복셀` | 메시로 변환할 3D 복셀 데이터입니다 | VOXEL | 예 | - | +| `임계값` | 메시 표면의 일부가 될 복셀을 결정하는 데 사용되는 임계값입니다 (기본값: 0.6) | FLOAT | 예 | -1.0 ~ 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `MESH` | 정점과 면을 포함하여 생성된 3D 메시입니다 | MESH | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMeshBasic/ko.md) + +--- +**Source fingerprint (SHA-256):** `36df962c84c99a83f243a59b6387874e42e7d05323bd84079dbab112d2f1b67c` diff --git a/ko/built-in-nodes/Wan22FunControlToVideo.mdx b/ko/built-in-nodes/Wan22FunControlToVideo.mdx new file mode 100644 index 000000000..1c627e8cf --- /dev/null +++ b/ko/built-in-nodes/Wan22FunControlToVideo.mdx @@ -0,0 +1,39 @@ +--- +title: "Wan22FunControlToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan22FunControlToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan22FunControlToVideo" +icon: "circle" +mode: wide +--- +# Wan22FunControlToVideo 노드 + +Wan22FunControlToVideo 노드는 Wan 비디오 모델 아키텍처를 사용하여 비디오 생성을 위한 컨디셔닝 및 잠재 표현을 준비합니다. 이 노드는 양성 및 음성 컨디셔닝 입력과 함께 선택적 참조 이미지 및 제어 비디오를 처리하여 비디오 합성에 필요한 잠재 공간 표현을 생성합니다. 비디오 모델에 적합한 컨디셔닝 데이터를 생성하기 위해 공간적 스케일링과 시간적 차원을 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 프롬프트` | 비디오 생성을 안내하는 양성 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `부정 프롬프트` | 비디오 생성을 안내하는 음성 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `VAE` | 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - | +| `너비` | 출력 비디오 너비(픽셀 단위, 기본값: 832, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오 높이(픽셀 단위, 기본값: 480, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 비디오 시퀀스의 프레임 수(기본값: 81, 단계: 4) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 생성할 비디오 시퀀스 수(기본값: 1) | INT | 예 | 1 ~ 4096 | +| `참조 이미지` | 시각적 안내를 제공하는 선택적 참조 이미지 | IMAGE | 아니요 | - | +| `제어 비디오` | 생성 과정을 안내하는 선택적 제어 비디오 | IMAGE | 아니요 | - | + +**참고:** `length` 매개변수는 4프레임 단위로 처리되며, 노드는 잠재 공간에 대한 시간적 스케일링을 자동으로 처리합니다. `ref_image`가 제공되면 참조 잠재를 통해 컨디셔닝에 영향을 줍니다. `control_video`가 제공되면 컨디셔닝에 사용되는 연결 잠재 표현에 직접 영향을 줍니다. `start_image` 매개변수는 이 노드의 스키마에서 입력으로 노출되지 않지만 실행 로직에서 참조됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 프롬프트` | 연결 잠재, 마스크 및 선택적 참조 잠재를 포함한 비디오별 잠재 데이터가 적용된 수정된 양성 컨디셔닝 | CONDITIONING | +| `잠재 공간` | 연결 잠재, 마스크 및 선택적 참조 잠재를 포함한 비디오별 잠재 데이터가 적용된 수정된 음성 컨디셔닝 | CONDITIONING | +| `latent` | 배치 크기, 잠재 채널 및 공간/시간적 스케일링을 기반으로 비디오 생성에 적합한 차원을 가진 빈 잠재 텐서 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22FunControlToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `8b24058f06aa9f779371a402c41cffc95d13ad0131d23d1438067d77755c73e2` diff --git a/ko/built-in-nodes/Wan22ImageToVideoLatent.mdx b/ko/built-in-nodes/Wan22ImageToVideoLatent.mdx new file mode 100644 index 000000000..e783627ba --- /dev/null +++ b/ko/built-in-nodes/Wan22ImageToVideoLatent.mdx @@ -0,0 +1,35 @@ +--- +title: "Wan22ImageToVideoLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan22ImageToVideoLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan22ImageToVideoLatent" +icon: "circle" +mode: wide +--- +# Wan22ImageToVideoLatent 노드 + +Wan22ImageToVideoLatent 노드는 이미지로부터 비디오 잠재 표현을 생성합니다. 지정된 차원으로 빈 비디오 잠재 공간을 생성하고, 선택적으로 시작 이미지 시퀀스를 첫 번째 프레임에 인코딩할 수 있습니다. 시작 이미지가 제공되면 이미지를 잠재 공간으로 인코딩하고 인페인팅된 영역에 대한 해당 노이즈 마스크를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `VAE` | 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - | +| `너비` | 출력 비디오의 픽셀 단위 너비 (기본값: 1280, 단계: 32) | INT | 예 | 32 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오의 픽셀 단위 높이 (기본값: 704, 단계: 32) | INT | 예 | 32 ~ MAX_RESOLUTION | +| `길이` | 비디오 시퀀스의 프레임 수 (기본값: 49, 단계: 4) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 생성할 배치 수 (기본값: 1) | INT | 예 | 1 ~ 4096 | +| `시작 이미지` | 비디오 잠재 표현에 인코딩할 선택적 시작 이미지 시퀀스 | IMAGE | 아니요 | - | + +**참고:** `start_image`가 제공되면 노드는 이미지 시퀀스를 잠재 공간의 시작 프레임으로 인코딩하고 해당 노이즈 마스크를 생성합니다. `width` 및 `height` 매개변수는 적절한 잠재 공간 차원을 위해 16으로 나누어져야 합니다. `length` 매개변수는 비디오 잠재 표현의 프레임 수를 결정하며, 잠재 공간의 시간적 차원은 `((length - 1) // 4) + 1`로 계산됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `samples` | 생성된 비디오 잠재 표현 | LATENT | +| `noise_mask` | 생성 중 노이즈 제거가 필요한 영역을 나타내는 노이즈 마스크 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/ko.md) + +--- +**Source fingerprint (SHA-256):** `0f27e20bcc63f0dd224cda0fa26ee676c42898ac74fcfbe0a2b591def933689c` diff --git a/ko/built-in-nodes/Wan2ImageToVideoApi.mdx b/ko/built-in-nodes/Wan2ImageToVideoApi.mdx new file mode 100644 index 000000000..3da2a8e30 --- /dev/null +++ b/ko/built-in-nodes/Wan2ImageToVideoApi.mdx @@ -0,0 +1,39 @@ +--- +title: "Wan2ImageToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2ImageToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2ImageToVideoApi" +icon: "circle" +mode: wide +--- +# Wan 2.7 이미지-투-비디오 노드 + +Wan 2.7 이미지-투-비디오 노드는 첫 번째 프레임 이미지를 기준으로 비디오를 생성합니다. 선택적으로 마지막 프레임 이미지를 제공하여 두 이미지 간의 전환을 만들거나, 오디오 파일을 제공하여 비디오의 움직임과 타이밍을 조정할 수 있습니다. 이 노드는 AI 모델을 사용하여 텍스트 설명을 기반으로 장면을 애니메이션화합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 AI 모델입니다. | COMBO | 예 | `"wan2.7-i2v"` | +| `model.prompt` | 비디오에 포함할 요소와 시각적 특징에 대한 텍스트 설명입니다. 영어와 중국어를 지원합니다. | STRING | 예 | - | +| `model.negative_prompt` | 모델이 생성하지 않길 원하는 요소나 특징에 대한 텍스트 설명입니다. | STRING | 예 | - | +| `model.resolution` | 출력 비디오의 해상도입니다. | COMBO | 예 | `"720P"`
`"1080P"` | +| `model.duration` | 생성된 비디오의 길이(초)입니다(기본값: 5). | INT | 예 | 2 ~ 15 | +| `first_frame` | 비디오의 첫 번째 프레임으로 사용할 이미지입니다. 출력 비디오의 화면 비율은 이 이미지에서 파생됩니다. | IMAGE | 예 | - | +| `last_frame` | 마지막 프레임으로 사용할 선택적 이미지입니다. 제공된 경우 모델은 첫 번째 프레임에서 이 마지막 프레임으로 전환되는 비디오를 생성합니다. | IMAGE | 아니요 | - | +| `audio` | 비디오 생성을 유도하는 선택적 오디오 파일로, 립싱크나 비트에 맞춘 움직임에 유용합니다. 길이는 2초에서 30초 사이여야 합니다. 제공되지 않으면 모델이 일치하는 배경 음악이나 음향 효과를 생성합니다. | AUDIO | 아니요 | - | +| `seed` | 생성의 무작위성을 제어하는 시드 값입니다(기본값: 0). | INT | 예 | 0 ~ 2147483647 | +| `prompt_extend` | 활성화하면 노드가 AI 지원을 통해 텍스트 프롬프트를 향상시킵니다(기본값: True). 고급 설정입니다. | BOOLEAN | 예 | - | +| `watermark` | 활성화하면 최종 비디오에 AI 생성 워터마크가 추가됩니다(기본값: False). 고급 설정입니다. | BOOLEAN | 예 | - | + +**참고:** `audio` 입력에는 길이 제한이 있습니다. 제공된 경우 오디오 파일은 2초에서 30초 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `ccd18dca3b191f2cbe64b6c2b941a7efcf281e4f327329d932cec27fd8234133` diff --git a/ko/built-in-nodes/Wan2ReferenceVideoApi.mdx b/ko/built-in-nodes/Wan2ReferenceVideoApi.mdx new file mode 100644 index 000000000..816d365df --- /dev/null +++ b/ko/built-in-nodes/Wan2ReferenceVideoApi.mdx @@ -0,0 +1,40 @@ +--- +title: "Wan2ReferenceVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2ReferenceVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2ReferenceVideoApi" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/en.md) + +이 노드는 제공된 참조 자료를 기반으로 사람이나 사물이 등장하는 비디오를 생성합니다. Wan 2.7 모델을 사용하여 텍스트 프롬프트로부터 비디오를 생성하며, 단일 캐릭터 퍼포먼스와 다중 캐릭터 상호작용을 지원합니다. 생성이 작동하려면 최소한 하나의 참조 비디오 또는 이미지를 제공해야 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 특정 모델입니다. | COMBO | 예 | `"wan2.7-r2v"` | +| `model.prompt` | 비디오를 설명하는 프롬프트입니다. 'character1', 'character2'와 같은 식별자를 사용하여 참조 캐릭터를 지칭합니다. | STRING | 예 | - | +| `model.negative_prompt` | 생성된 비디오에서 피해야 할 내용을 설명하는 네거티브 프롬프트입니다(기본값: 비어 있음). | STRING | 아니요 | - | +| `model.resolution` | 출력 비디오의 해상도입니다. | COMBO | 예 | `"720P"`
`"1080P"` | +| `model.ratio` | 출력 비디오의 화면 비율입니다. | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `model.duration` | 생성된 비디오의 길이(초)입니다(기본값: 5). | INT | 예 | 2 ~ 10 | +| `model.reference_videos` | 참조 비디오 목록입니다. 최대 3개의 비디오를 추가할 수 있습니다. | VIDEO | 아니요 | - | +| `model.reference_images` | 참조 이미지 목록입니다. 최대 5개의 이미지를 추가할 수 있습니다. | IMAGE | 아니요 | - | +| `seed` | 생성에 사용할 시드로, 출력의 무작위성을 제어하는 데 도움이 됩니다(기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | +| `watermark` | 결과물에 AI 생성 워터마크를 추가할지 여부입니다(기본값: False). 고급 설정입니다. | BOOLEAN | 아니요 | - | + +**중요 제약 사항:** +* `model.reference_videos` 또는 `model.reference_images` 입력에 최소한 하나의 참조 비디오 또는 참조 이미지를 제공해야 합니다. +* 참조 비디오와 이미지의 총 개수는 5개를 초과할 수 없습니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `f28a765e310410fc62241e11dbfe25562c7ae16e8e6ffbfb004face7a7e2b727` diff --git a/ko/built-in-nodes/Wan2TextToVideoApi.mdx b/ko/built-in-nodes/Wan2TextToVideoApi.mdx new file mode 100644 index 000000000..74bfe7cd3 --- /dev/null +++ b/ko/built-in-nodes/Wan2TextToVideoApi.mdx @@ -0,0 +1,38 @@ +--- +title: "Wan2TextToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2TextToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2TextToVideoApi" +icon: "circle" +mode: wide +--- +이 문서는 AI가 생성했습니다. 오류를 발견하거나 개선 제안이 있으시면 언제든지 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2TextToVideoApi/en.md) + +이 노드는 Wan 2.7 모델을 사용하여 텍스트 설명으로부터 비디오를 생성합니다. 요청을 외부 API로 전송하며, 해당 API가 프롬프트를 처리하고 비디오 파일을 반환합니다. 선택적으로 오디오 클립을 제공하여 비디오의 움직임과 타이밍에 영향을 줄 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 생성에 사용할 특정 모델입니다. | COMBO | 예 | `"wan2.7-t2v"` | +| `model.prompt` | 비디오에 포함할 요소와 시각적 특징을 설명합니다. 영어와 중국어를 지원합니다. | STRING | 예 | - | +| `model.negative_prompt` | 생성된 비디오에서 제외할 요소나 특징을 설명합니다. | STRING | 아니요 | - | +| `model.resolution` | 출력 비디오의 해상도입니다. | COMBO | 예 | `"720P"`
`"1080P"` | +| `model.ratio` | 출력 비디오의 화면 비율입니다. | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `model.duration` | 비디오 길이(초)입니다(기본값: 5). | INT | 예 | 2 ~ 15 | +| `audio` | 립싱크나 비트에 맞춘 움직임 등 비디오 생성을 유도하는 오디오 파일입니다. 제공하지 않으면 모델이 일치하는 배경 음악이나 음향 효과를 생성합니다. 오디오 길이는 1.5초에서 60초 사이여야 합니다. | AUDIO | 아니요 | - | +| `seed` | 생성의 무작위성을 제어하여 결과를 재현 가능하게 하는 숫자입니다(기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | +| `prompt_extend` | 활성화하면 AI 지원으로 프롬프트가 향상됩니다(기본값: True). | BOOLEAN | 아니요 | - | +| `watermark` | 활성화하면 결과에 AI 생성 워터마크가 추가됩니다(기본값: False). | BOOLEAN | 아니요 | - | + +**참고:** `audio` 매개변수는 선택 사항입니다. 제공할 경우 길이가 1.5초에서 60초 사이여야 합니다. 생략하면 모델이 자동으로 오디오를 생성합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2TextToVideoApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `ce8a2f4e53b2bce879f143c66f6078fd81c6308e2822cb486b1cf8e178a6f58c` diff --git a/ko/built-in-nodes/Wan2VideoContinuationApi.mdx b/ko/built-in-nodes/Wan2VideoContinuationApi.mdx new file mode 100644 index 000000000..31f92ac04 --- /dev/null +++ b/ko/built-in-nodes/Wan2VideoContinuationApi.mdx @@ -0,0 +1,38 @@ +--- +title: "Wan2VideoContinuationApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2VideoContinuationApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2VideoContinuationApi" +icon: "circle" +mode: wide +--- +# Wan2VideoContinuation 노드 + +Wan 2.7 비디오 연속 생성 노드는 입력 비디오 클립의 끝부분에서 자연스럽게 이어지는 새로운 비디오 세그먼트를 생성합니다. Wan 2.7 모델을 사용하여 텍스트 프롬프트를 기반으로 연속 영상을 합성하며, 선택적으로 특정 대상 프레임으로 마무리되도록 유도할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 사용할 비디오 생성 모델입니다. | COMBO | 예 | `"wan2.7-i2v"` | +| `model.prompt` | 요소와 시각적 특징을 설명하는 프롬프트입니다. 영어와 중국어를 지원합니다. (기본값: 빈 문자열) | STRING | 예 | - | +| `model.negative_prompt` | 피해야 할 사항을 설명하는 네거티브 프롬프트입니다. (기본값: 빈 문자열) | STRING | 예 | - | +| `model.resolution` | 출력 비디오의 해상도입니다. | COMBO | 예 | `"720P"`
`"1080P"` | +| `model.duration` | 총 출력 시간(초)입니다. 모델은 입력 클립 이후 남은 시간을 채우기 위해 연속 영상을 생성합니다. (기본값: 5) | INT | 예 | 2 ~ 15 | +| `first_clip` | 이어서 생성할 입력 비디오입니다. 길이: 2초~10초. 출력 비디오의 화면 비율은 이 비디오에서 파생됩니다. | VIDEO | 예 | - | +| `last_frame` | 마지막 프레임 이미지입니다. 연속 영상이 이 프레임을 향해 전환됩니다. | IMAGE | 아니요 | - | +| `seed` | 생성에 사용할 시드 값입니다. (기본값: 0) | INT | 예 | 0 ~ 2147483647 | +| `prompt_extend` | AI 지원을 통해 프롬프트를 향상시킬지 여부입니다. (기본값: True) | BOOLEAN | 예 | - | +| `watermark` | 결과물에 AI 생성 워터마크를 추가할지 여부입니다. (기본값: False) | BOOLEAN | 예 | - | + +**참고:** `first_clip` 입력 비디오의 길이는 2초에서 10초 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 생성된 비디오 연속 영상입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `5e9d2c7800603660f5f994d125e1e32f2b310234c4b6a24d502c764d91be49e8` diff --git a/ko/built-in-nodes/Wan2VideoEditApi.mdx b/ko/built-in-nodes/Wan2VideoEditApi.mdx new file mode 100644 index 000000000..e6acdd7ab --- /dev/null +++ b/ko/built-in-nodes/Wan2VideoEditApi.mdx @@ -0,0 +1,39 @@ +--- +title: "Wan2VideoEditApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2VideoEditApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2VideoEditApi" +icon: "circle" +mode: wide +--- +Wan2VideoEditApi 노드는 Wan 2.7 모델을 사용하여 텍스트 지침, 참조 이미지 또는 스타일 전송을 기반으로 비디오를 편집합니다. 입력 비디오를 처리하고 해상도, 길이, 화면 비율과 같은 지정된 매개변수에 따라 새 비디오를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 유형 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 비디오 편집에 사용할 모델입니다. | COMBO | 예 | `"wan2.7-videoedit"` | +| `model.prompt` | 편집 지침 또는 스타일 전송 요구 사항입니다. (기본값: 빈 문자열) | STRING | 예 | - | +| `model.resolution` | 출력 비디오의 해상도입니다. | COMBO | 예 | `"720P"`
`"1080P"` | +| `model.ratio` | 출력 비디오의 화면 비율입니다. 변경하지 않으면 입력 비디오의 비율에 근사합니다. | COMBO | 예 | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | +| `model.duration` | 출력 길이(초)입니다. 'auto'는 입력 비디오 길이와 일치합니다. 특정 값을 지정하면 비디오 시작 부분부터 잘라냅니다. (기본값: "auto") | COMBO | 예 | `"auto"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"`
`"10"` | +| `model.reference_images` | 편집을 안내하는 최대 4개의 참조 이미지 목록입니다. | IMAGE | 아니요 | - | +| `video` | 편집할 비디오입니다. | VIDEO | 예 | - | +| `seed` | 생성에 사용할 시드입니다. (기본값: 0) | INT | 아니요 | 0 ~ 2147483647 | +| `audio_setting` | 'auto': 모델이 프롬프트에 따라 오디오 재생성 여부를 결정합니다. 'origin': 입력 비디오의 원본 오디오를 유지합니다. (기본값: "auto") | COMBO | 아니요 | `"auto"`
`"origin"` | +| `watermark` | 결과에 AI 생성 워터마크를 추가할지 여부입니다. (기본값: False) | BOOLEAN | 아니요 | - | + +**제약 사항:** +* `model.prompt`는 최소 1자 이상이어야 합니다. +* 입력 `video`의 길이는 2초에서 10초 사이여야 합니다. +* `model.reference_images` 입력은 최대 4개의 이미지만 허용합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| `output` | 모델이 생성한 편집된 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoEditApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `d2dd65d743358c6a357e75076774e93c52c39893fbb376da2f4395446f440a20` diff --git a/ko/built-in-nodes/WanAnimateToVideo.mdx b/ko/built-in-nodes/WanAnimateToVideo.mdx new file mode 100644 index 000000000..2f61afdf1 --- /dev/null +++ b/ko/built-in-nodes/WanAnimateToVideo.mdx @@ -0,0 +1,58 @@ +--- +title: "WanAnimateToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanAnimateToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanAnimateToVideo" +icon: "circle" +mode: wide +--- +# WanAnimateToVideo 노드 + +WanAnimateToVideo 노드는 포즈 참조, 표정, 배경 요소를 포함한 여러 조건 입력을 결합하여 비디오 콘텐츠를 생성합니다. 다양한 비디오 입력을 처리하여 일관된 애니메이션 시퀀스를 만들며, 프레임 간 시간적 일관성을 유지합니다. 이 노드는 잠재 공간 연산을 처리하며, 모션 패턴을 지속하여 기존 비디오를 확장할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 프롬프트` | 원하는 콘텐츠로 생성 방향을 안내하는 긍정 조건 | CONDITIONING | 예 | - | +| `부정 프롬프트` | 원하지 않는 콘텐츠에서 생성 방향을 멀어지게 하는 부정 조건 | CONDITIONING | 예 | - | +| `VAE` | 이미지 데이터 인코딩 및 디코딩에 사용되는 VAE 모델 | VAE | 예 | - | +| `너비` | 출력 비디오 가로 픽셀 (기본값: 832, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오 세로 픽셀 (기본값: 480, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 생성할 프레임 수 (기본값: 77, 단계: 4) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 동시에 생성할 비디오 수 (기본값: 1) | INT | 예 | 1 ~ 4096 | +| `클립 비전 출력` | 추가 조건을 위한 선택적 CLIP 비전 모델 출력 | CLIP_VISION_OUTPUT | 아니요 | - | +| `참조 이미지` | 생성 시작점으로 사용되는 참조 이미지 | IMAGE | 아니요 | - | +| `얼굴 비디오` | 표정 안내를 제공하는 비디오 입력 | IMAGE | 아니요 | - | +| `포즈 비디오` | 포즈 및 동작 안내를 제공하는 비디오 입력 | IMAGE | 아니요 | - | +| `연속 모션 최대 프레임 수` | 이전 동작에서 이어갈 최대 프레임 수 (기본값: 5, 단계: 4) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배경 비디오` | 생성된 콘텐츠와 합성할 배경 비디오 | IMAGE | 아니요 | - | +| `캐릭터 마스크` | 선택적 처리를 위한 캐릭터 영역을 정의하는 마스크 | MASK | 아니요 | - | +| `연속 모션` | 시간적 일관성을 위해 이어갈 이전 동작 시퀀스 | IMAGE | 아니요 | - | +| `비디오 프레임 오프셋` | 모든 입력 비디오에서 탐색할 프레임 양. 청크 단위로 더 긴 비디오를 생성하는 데 사용됩니다. 비디오 확장을 위해 이전 노드의 video_frame_offset 출력에 연결하세요. (기본값: 0, 단계: 1) | INT | 예 | 0 ~ MAX_RESOLUTION | + +**매개변수 제약 조건:** + +- `pose_video`가 제공되고 `trim_to_pose_video` 로직이 활성화된 경우(현재 소스 코드에서 `False`로 설정됨), 출력 길이는 포즈 비디오 길이에 맞게 조정됩니다 +- `face_video`는 처리 시 자동으로 512x512 해상도로 크기가 조정되고 -1.0에서 1.0 범위로 정규화됩니다 +- `continue_motion` 프레임은 `continue_motion_max_frames` 매개변수에 의해 제한되며, 입력의 마지막 `continue_motion_max_frames` 프레임만 사용됩니다 +- 입력 비디오(`face_video`, `pose_video`, `background_video`, `character_mask`)는 처리 전에 `video_frame_offset`만큼 오프셋됩니다. 오프셋이 비디오 길이를 초과하면 입력이 무시됩니다 +- `character_mask`에 프레임이 하나만 포함된 경우 모든 프레임에 반복 적용됩니다 +- `clip_vision_output`이 제공되면 긍정 및 부정 조건 모두에 적용됩니다 +- `reference_image`가 제공되지 않으면 검은색 이미지(모두 0)가 기본 참조로 사용됩니다 +- `continue_motion`이 제공되지 않으면 초기 프레임이 회색(0.5 강도) 노이즈로 채워집니다 + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 프롬프트` | CLIP 비전 출력, 포즈 비디오 잠재, 얼굴 비디오 픽셀, 연결된 잠재 이미지 및 연결된 마스크를 포함한 추가 비디오 컨텍스트가 적용된 수정된 긍정 조건 | CONDITIONING | +| `잠재 공간` | CLIP 비전 출력, 포즈 비디오 잠재, 얼굴 비디오 픽셀(반전), 연결된 잠재 이미지 및 연결된 마스크를 포함한 추가 비디오 컨텍스트가 적용된 수정된 부정 조건 | CONDITIONING | +| `잠재 공간 트리밍` | [batch_size, 16, latent_length + trim_latent, latent_height, latent_width] 형태의 잠재 공간 형식으로 생성된 비디오 콘텐츠 | LATENT | +| `이미지 트리밍` | 시작 부분에서 제거할 잠재 프레임 수를 나타내는 잠재 공간 트리밍 정보 (참조 이미지 잠재 프레임에 해당) | INT | +| `비디오 프레임 오프셋` | 참조 모션 프레임에 대한 이미지 공간 트리밍 정보로, 시작 부분에서 제거할 이미지 프레임 수를 나타냅니다 | INT | +| `비디오 프레임 오프셋` | 청크 단위로 비디오 생성을 계속하기 위한 업데이트된 프레임 오프셋으로, 이전 오프셋에 생성된 길이를 더하여 계산됩니다 | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanAnimateToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `c2ca90f4963f629d51cdd7f4bdb67e01c32ce5ca7d916b1f992ccd220f57566c` diff --git a/ko/built-in-nodes/WanCameraEmbedding.mdx b/ko/built-in-nodes/WanCameraEmbedding.mdx new file mode 100644 index 000000000..46caa6257 --- /dev/null +++ b/ko/built-in-nodes/WanCameraEmbedding.mdx @@ -0,0 +1,36 @@ +--- +title: "WanCameraEmbedding - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanCameraEmbedding node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanCameraEmbedding" +icon: "circle" +mode: wide +--- +WanCameraEmbedding 노드는 카메라 모션 매개변수를 기반으로 플뤼커 임베딩(Plücker embedding)을 사용하여 카메라 궤적 임베딩을 생성합니다. 다양한 카메라 움직임을 시뮬레이션하는 일련의 카메라 포즈를 생성하고, 이를 비디오 생성 파이프라인에 적합한 임베딩 텐서로 변환합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `카메라 포즈` | 시뮬레이션할 카메라 움직임 유형 (기본값: "Static") | COMBO | 예 | "Static"
"Pan Up"
"Pan Down"
"Pan Left"
"Pan Right"
"Zoom In"
"Zoom Out"
"Anti Clockwise (ACW)"
"ClockWise (CW)" | +| `너비` | 출력 이미지의 가로 크기 (픽셀 단위, 기본값: 832, 증가 단위: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 이미지의 세로 크기 (픽셀 단위, 기본값: 480, 증가 단위: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 카메라 궤적 시퀀스의 길이 (기본값: 81, 증가 단위: 4) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `속도` | 카메라 움직임의 속도 (기본값: 1.0, 증가 단위: 0.1) | FLOAT | 아니요 | 0.0 ~ 10.0 | +| `fx` | 초점 거리 x 매개변수 (기본값: 0.5, 증가 단위: 0.000000001) | FLOAT | 아니요 | 0.0 ~ 1.0 | +| `fy` | 초점 거리 y 매개변수 (기본값: 0.5, 증가 단위: 0.000000001) | FLOAT | 아니요 | 0.0 ~ 1.0 | +| `cx` | 주점 x 좌표 (기본값: 0.5, 증가 단위: 0.01) | FLOAT | 아니요 | 0.0 ~ 1.0 | +| `cy` | 주점 y 좌표 (기본값: 0.5, 증가 단위: 0.01) | FLOAT | 아니요 | 0.0 ~ 1.0 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `너비` | 궤적 시퀀스를 포함하는 생성된 카메라 임베딩 텐서 | TENSOR | +| `높이` | 처리에 사용된 가로 크기 값 | INT | +| `길이` | 처리에 사용된 세로 크기 값 | INT | +| `길이` | 처리에 사용된 길이 값 | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraEmbedding/ko.md) + +--- +**Source fingerprint (SHA-256):** `422c4a1fdfb6fd403afac26a609f80cbdbaa87f2c115068de9d7a33c756e71fd` diff --git a/ko/built-in-nodes/WanCameraImageToVideo.mdx b/ko/built-in-nodes/WanCameraImageToVideo.mdx new file mode 100644 index 000000000..e7a38aac0 --- /dev/null +++ b/ko/built-in-nodes/WanCameraImageToVideo.mdx @@ -0,0 +1,38 @@ +--- +title: "WanCameraImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanCameraImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanCameraImageToVideo" +icon: "circle" +mode: wide +--- +WanCameraImageToVideo 노드는 이미지를 비디오 시퀀스로 변환하여 비디오 생성을 위한 잠재 표현을 생성합니다. 이 노드는 컨디셔닝 입력과 선택적 시작 이미지를 처리하여 비디오 모델과 함께 사용할 수 있는 비디오 잠재 변수를 생성합니다. 또한 향상된 비디오 생성 제어를 위해 카메라 조건과 CLIP 비전 출력을 지원합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 프롬프트` | 비디오 생성을 위한 긍정 컨디셔닝 프롬프트 | CONDITIONING | 예 | - | +| `부정 프롬프트` | 비디오 생성에서 제외할 부정 컨디셔닝 프롬프트 | CONDITIONING | 예 | - | +| `VAE` | 이미지를 잠재 공간으로 인코딩하기 위한 VAE 모델 | VAE | 예 | - | +| `너비` | 출력 비디오의 가로 픽셀 크기 (기본값: 832, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오의 세로 픽셀 크기 (기본값: 480, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 비디오 시퀀스의 프레임 수 (기본값: 81, 단계: 4) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 동시에 생성할 비디오 개수 (기본값: 1) | INT | 예 | 1 ~ 4096 | +| `CLIP 비전 출력` | 추가 컨디셔닝을 위한 선택적 CLIP 비전 출력 | CLIP_VISION_OUTPUT | 아니요 | - | +| `시작 이미지` | 비디오 시퀀스를 초기화하기 위한 선택적 시작 이미지입니다. 제공되면 비디오의 첫 번째 프레임이 이 이미지를 기반으로 하며, 마스크가 적용되어 시작 프레임과 생성된 콘텐츠를 혼합합니다. 이미지는 지정된 너비와 높이에 맞게 크기가 조정됩니다. | IMAGE | 아니요 | - | +| `카메라 조건` | 비디오 생성을 위한 선택적 카메라 임베딩 조건입니다. 제공되면 이 조건이 긍정 및 부정 컨디셔닝 모두에 적용됩니다. | WAN_CAMERA_EMBEDDING | 아니요 | - | + +**참고:** `start_image`가 제공되면 노드는 이를 사용하여 비디오 시퀀스를 초기화하고 마스킹을 적용하여 시작 프레임과 생성된 콘텐츠를 혼합합니다. `camera_conditions` 및 `clip_vision_output` 매개변수는 선택 사항이지만, 제공되면 긍정 및 부정 프롬프트 모두에 대한 컨디셔닝을 수정합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 프롬프트` | 카메라 조건 및 CLIP 비전 출력이 적용된 수정된 긍정 컨디셔닝 | CONDITIONING | +| `잠재 공간` | 카메라 조건 및 CLIP 비전 출력이 적용된 수정된 부정 컨디셔닝 | CONDITIONING | +| `latent` | 비디오 모델과 함께 사용하기 위해 생성된 비디오 잠재 표현입니다. 잠재 텐서의 차원은 [batch_size, 16, frames, height/8, width/8]이며, 여기서 frames는 ((length - 1) // 4) + 1로 계산됩니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraImageToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `19d76097d580b14663afd0aab58810f9dc1685cd32e8f67aa43c820be65239e7` diff --git a/ko/built-in-nodes/WanContextWindowsManual.mdx b/ko/built-in-nodes/WanContextWindowsManual.mdx new file mode 100644 index 000000000..b22a4185c --- /dev/null +++ b/ko/built-in-nodes/WanContextWindowsManual.mdx @@ -0,0 +1,36 @@ +--- +title: "WanContextWindowsManual - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanContextWindowsManual node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanContextWindowsManual" +icon: "circle" +mode: wide +--- +# WAN 컨텍스트 윈도우(수동) + +WAN 컨텍스트 윈도우(수동) 노드는 2차원 처리를 수행하는 WAN 계열 모델의 컨텍스트 윈도우를 수동으로 구성할 수 있게 해줍니다. 윈도우 길이, 중첩, 스케줄링 방식 및 융합 기법을 지정하여 샘플링 중에 사용자 정의 컨텍스트 윈도우 설정을 적용합니다. 이를 통해 모델이 서로 다른 컨텍스트 영역에서 정보를 처리하는 방식을 정밀하게 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 샘플링 중 컨텍스트 윈도우를 적용할 모델입니다. | MODEL | 예 | - | +| `컨텍스트 길이` | 컨텍스트 윈도우의 길이입니다(기본값: 81). | INT | 예 | 1 ~ 1048576 | +| `컨텍스트 오버랩` | 컨텍스트 윈도우의 중첩입니다(기본값: 30). | INT | 예 | 0 ~ 1048576 | +| `컨텍스트 스케줄` | 컨텍스트 윈도우의 보폭입니다. | COMBO | 예 | `"static_standard"`
`"uniform_standard"`
`"uniform_looped"`
`"batched"` | +| `컨텍스트 스트라이드` | 컨텍스트 윈도우의 보폭입니다. 균일 스케줄에만 적용됩니다(기본값: 1). | INT | 예 | 1 ~ 1048576 | +| `폐쇄 루프` | 컨텍스트 윈도우 루프를 닫을지 여부입니다. 반복 스케줄에만 적용됩니다(기본값: False). | BOOLEAN | 예 | - | +| `퓨즈 방법` | 컨텍스트 윈도우를 융합하는 데 사용할 방법입니다(기본값: "pyramid"). | COMBO | 예 | `"pyramid"`
`"gaussian"`
`"average"`
`"overlap"` | +| `freenoise` | FreeNoise 노이즈 셔플링을 적용할지 여부입니다. 윈도우 혼합을 개선합니다(기본값: False). | BOOLEAN | 예 | - | + +**참고:** `context_stride` 매개변수는 균일 스케줄에만 영향을 미치며, `closed_loop`는 반복 스케줄에만 적용됩니다. 컨텍스트 길이와 중첩 값은 처리 중에 최소 유효 값을 보장하기 위해 자동으로 조정됩니다. `fuse_method` 매개변수는 이제 "pyramid" 외에도 추가 옵션을 포함합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 컨텍스트 윈도우 구성이 적용된 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanContextWindowsManual/ko.md) + +--- +**Source fingerprint (SHA-256):** `33e539f1e6647a6a2bc98fadc357a25279b0900746f5b3d568e2782cdb770258` diff --git a/ko/built-in-nodes/WanDancerEncodeAudio.mdx b/ko/built-in-nodes/WanDancerEncodeAudio.mdx new file mode 100644 index 000000000..8b49613c6 --- /dev/null +++ b/ko/built-in-nodes/WanDancerEncodeAudio.mdx @@ -0,0 +1,30 @@ +--- +title: "WanDancerEncodeAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerEncodeAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerEncodeAudio" +icon: "circle" +mode: wide +--- +## 개요 + +이 노드는 오디오 입력을 처리하여 비디오 생성 모델을 안내하는 데 사용할 수 있는 특징을 추출합니다. 템포, 비트 및 기타 음악적 특성을 감지하기 위해 오디오를 분석한 후, 이 정보를 비디오 모델을 컨디셔닝하는 데 적합한 형식으로 패키징하여 생성된 비디오가 오디오와 동기화될 수 있도록 합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `audio` | 분석 및 인코딩할 오디오 입력입니다. | AUDIO | 예 | - | +| `video_frames` | 대상 비디오의 프레임 수입니다. 동기화를 위한 프레임 속도를 계산하는 데 사용됩니다(기본값: 149). | INT | 예 | 최소: 1, 최대: 268435456 (MAX_RESOLUTION), 단계: 4 | +| `audio_inject_scale` | 비디오 모델에 주입될 때 오디오 특징의 스케일입니다(기본값: 1.0). | FLOAT | 예 | 최소: 0.0, 최대: 10.0, 단계: 0.01 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `fps_string` | 처리된 오디오 특징, 계산된 프레임 속도(fps) 및 오디오 주입 스케일을 포함하는 딕셔너리입니다. 이 출력은 비디오 생성 모델을 컨디셔닝하는 데 사용됩니다. | AUDIO_ENCODER_OUTPUT | +| `fps_string` | 오디오 길이와 비디오 프레임 수를 기반으로 계산된 프레임 속도(fps)를 설명하는 텍스트 문자열입니다. 이 문자열은 비디오 모델의 프롬프트에서 사용하기 위한 것입니다. | STRING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerEncodeAudio/ko.md) + +--- +**Source fingerprint (SHA-256):** `ef230c92b23a04369708041b2e5d03c1b2928edf746dc43020bae777f9f0b589` diff --git a/ko/built-in-nodes/WanDancerPadKeyframes.mdx b/ko/built-in-nodes/WanDancerPadKeyframes.mdx new file mode 100644 index 000000000..f370f9701 --- /dev/null +++ b/ko/built-in-nodes/WanDancerPadKeyframes.mdx @@ -0,0 +1,32 @@ +--- +title: "WanDancerPadKeyframes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerPadKeyframes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerPadKeyframes" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 긴 비디오 생성 과정의 특정 세그먼트에 대한 키프레임 시퀀스를 준비합니다. 입력 이미지 배치와 오디오 트랙을 받아, 오디오 길이를 기준으로 전체 비디오의 총 프레임 수를 계산한 후, 선택한 세그먼트에 입력 이미지를 키프레임으로 분배하고 나머지는 빈 프레임으로 채웁니다. 또한 해당 세그먼트에 대응하는 오디오 부분을 추출합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `images` | 키프레임으로 분배할 입력 이미지입니다. | IMAGE | 예 | 이미지 배치 | +| `segment_length` | 이 세그먼트의 프레임 길이입니다(기본값: 149). | INT | 예 | 1 ~ 10000 | +| `segment_index` | 현재 세그먼트의 인덱스입니다(0은 첫 번째, 1은 두 번째 등, 기본값: 0). | INT | 예 | 0 ~ 100 | +| `audio` | 전체 출력 프레임 수를 계산하고 세그먼트 오디오를 추출하는 데 사용할 오디오입니다. | AUDIO | 예 | 오디오 데이터 | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `keyframes_mask` | 지정된 세그먼트에 대한 패딩 처리된 키프레임 시퀀스입니다. | IMAGE | +| `audio_segment` | 유효 프레임을 나타내는 마스크입니다(키프레임 위치는 1, 패딩 위치는 0). | MASK | +| `audio_segment` | 이 비디오 세그먼트에 해당하는 오디오 세그먼트입니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframes/ko.md) + +--- +**Source fingerprint (SHA-256):** `5a104b45faaa870727d4c45e6327e7233110b40dc5a13515a29e5f14de2050e0` diff --git a/ko/built-in-nodes/WanDancerPadKeyframesList.mdx b/ko/built-in-nodes/WanDancerPadKeyframesList.mdx new file mode 100644 index 000000000..b896eb196 --- /dev/null +++ b/ko/built-in-nodes/WanDancerPadKeyframesList.mdx @@ -0,0 +1,32 @@ +--- +title: "WanDancerPadKeyframesList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerPadKeyframesList node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerPadKeyframesList" +icon: "circle" +mode: wide +--- +# 개요 + +이 노드는 이미지 시퀀스와 선택적 오디오 트랙을 입력받아 지정된 개수의 패딩된 세그먼트로 분할합니다. 각 세그먼트가 일관된 길이로 패딩되고 유효한 프레임을 나타내는 마스크가 생성되는 비디오 생성을 위한 키프레임 시퀀스를 준비하도록 설계되었습니다. + +# 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `images` | 세그먼트로 분할할 입력 이미지 시퀀스입니다. | IMAGE | 예 | 해당 없음 | +| `segment_length` | 각 세그먼트의 프레임 길이입니다(기본값: 149). | INT | 예 | 1~10000 | +| `num_segments` | 리스트로 출력할 패딩된 세그먼트의 개수입니다(기본값: 1). | INT | 예 | 1~100 | +| `audio` | 각 출력 세그먼트에 대해 분할할 오디오입니다. | AUDIO | 아니요 | 해당 없음 | + +# 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `keyframes_sequence` | 각 세그먼트에 대한 패딩된 키프레임 시퀀스의 리스트입니다. | IMAGE | +| `keyframes_mask` | 각 세그먼트의 유효 프레임을 나타내는 마스크 리스트입니다. | MASK | +| `audio_segment` | 각 비디오 세그먼트에 대한 오디오 세그먼트 리스트입니다. | AUDIO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframesList/ko.md) + +--- +**Source fingerprint (SHA-256):** `c6a3ddca3fd61fcdb287fecb6969796eebd65e70f1174abdab57912586d27d00` diff --git a/ko/built-in-nodes/WanDancerVideo.mdx b/ko/built-in-nodes/WanDancerVideo.mdx new file mode 100644 index 000000000..47fd8beae --- /dev/null +++ b/ko/built-in-nodes/WanDancerVideo.mdx @@ -0,0 +1,42 @@ +--- +title: "WanDancerVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerVideo" +icon: "circle" +mode: wide +--- +WanDancerVideo 노드는 WanDancer 모델을 사용한 비디오 생성에 필요한 조건화 데이터와 빈 잠재 텐서를 준비합니다. 시작 이미지, 마스크, CLIP 비전 임베딩 및 오디오 특징과 같은 선택적 입력과 함께 긍정 및 부정 조건화를 결합하여 생성된 비디오를 제어합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `positive` | 비디오 생성을 안내하는 긍정 조건화입니다. | CONDITIONING | 예 | | +| `negative` | 비디오 생성을 안내하는 부정 조건화입니다. | CONDITIONING | 예 | | +| `vae` | 시작 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE입니다. | VAE | 예 | | +| `너비` | 생성된 비디오의 픽셀 단위 너비입니다 (기본값: 480). | INT | 예 | 16 ~ MAX_RESOLUTION (단위: 16) | +| `높이` | 생성된 비디오의 픽셀 단위 높이입니다 (기본값: 832). | INT | 예 | 16 ~ MAX_RESOLUTION (단위: 16) | +| `길이` | 생성된 비디오의 프레임 수입니다. WanDancer의 경우 149로 유지해야 합니다 (기본값: 149). | INT | 예 | 1 ~ MAX_RESOLUTION (단위: 4) | +| `clip_vision_output` | 첫 번째 프레임에 대한 CLIP 비전 임베딩입니다. | CLIP_VISION_OUTPUT | 아니요 | | +| `clip_vision_output_ref` | 참조 이미지에 대한 CLIP 비전 임베딩입니다. | CLIP_VISION_OUTPUT | 아니요 | | +| `시작 이미지` | 인코딩할 초기 이미지입니다. 지정된 `길이`까지 여러 프레임이 될 수 있습니다. | IMAGE | 아니요 | | +| `마스크` | 시작 이미지에 대한 이미지 조건화 마스크입니다. 흰색 영역은 유지되고 검은색 영역은 생성됩니다. 로컬 생성에 사용됩니다. | MASK | 아니요 | | +| `audio_encoder_output` | 오디오 인코더의 출력으로, 오디오 조건화 생성을 위한 오디오 특징, fps 및 주입 비율을 제공합니다. | AUDIO_ENCODER_OUTPUT | 아니요 | | + +**매개변수 제약 조건 참고:** +- `start_image` 및 `mask` 입력은 선택 사항이지만 함께 사용할 수 있습니다. `start_image`가 제공되면 인코딩되어 잠재 텐서와 연결됩니다. `mask`도 제공되면 시작 이미지 중 유지할 부분(흰색)과 재생성할 부분(검은색)을 제어합니다. `mask`가 제공되지 않으면 전체 시작 이미지 영역이 조건화 안내로 사용됩니다. +- `clip_vision_output` 및 `clip_vision_output_ref` 입력은 선택 사항이며, 첫 번째 프레임과 참조 이미지에 대한 시각적 컨텍스트를 제공하기 위해 함께 사용할 수 있습니다. +- `audio_encoder_output` 입력은 선택 사항이며, 오디오 조건화 생성을 위한 오디오 특징을 제공합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `negative` | 추가 데이터(연결된 잠재 텐서, CLIP 비전, 오디오)가 첨부된 긍정 조건화입니다. | CONDITIONING | +| `latent` | 추가 데이터(연결된 잠재 텐서, CLIP 비전, 오디오)가 첨부된 부정 조건화입니다. | CONDITIONING | +| `latent` | 지정된 비디오 길이, 높이 및 너비와 일치하는 차원의 빈 잠재 텐서입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `7ab1b4662eb8d780295ea3a3e3139c64d81e03a979a293a481f82deaf1fc2f7e` diff --git a/ko/built-in-nodes/WanFirstLastFrameToVideo.mdx b/ko/built-in-nodes/WanFirstLastFrameToVideo.mdx new file mode 100644 index 000000000..5d3434e3c --- /dev/null +++ b/ko/built-in-nodes/WanFirstLastFrameToVideo.mdx @@ -0,0 +1,39 @@ +--- +title: "WanFirstLastFrameToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanFirstLastFrameToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanFirstLastFrameToVideo" +icon: "circle" +mode: wide +--- +WanFirstLastFrameToVideo 노드는 시작 프레임과 종료 프레임을 텍스트 프롬프트와 결합하여 비디오 컨디셔닝을 생성합니다. 첫 번째 프레임과 마지막 프레임을 인코딩하고, 생성 과정을 안내하는 마스크를 적용하며, 사용 가능한 경우 CLIP 비전 특징을 통합하여 비디오 생성을 위한 잠재 표현을 생성합니다. 이 노드는 지정된 시작점과 종료점 사이에서 일관된 시퀀스를 생성하기 위해 비디오 모델에 대한 긍정 및 부정 컨디셔닝을 모두 준비합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | 비디오 생성을 안내하는 긍정 텍스트 컨디셔닝 | CONDITIONING | 예 | - | +| `부정 조건` | 비디오 생성을 안내하는 부정 텍스트 컨디셔닝 | CONDITIONING | 예 | - | +| `vae` | 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - | +| `너비` | 출력 비디오 너비 (기본값: 832, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오 높이 (기본값: 480, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 비디오 시퀀스의 프레임 수 (기본값: 81, 단계: 4) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 동시에 생성할 비디오 수 (기본값: 1) | INT | 예 | 1 ~ 4096 | +| `clip 비전 시작 이미지` | 시작 이미지에서 추출된 CLIP 비전 특징 | CLIP_VISION_OUTPUT | 아니요 | - | +| `clip 비전 종료 이미지` | 종료 이미지에서 추출된 CLIP 비전 특징 | CLIP_VISION_OUTPUT | 아니요 | - | +| `시작 이미지` | 비디오 시퀀스의 시작 프레임 이미지 | IMAGE | 아니요 | - | +| `종료 이미지` | 비디오 시퀀스의 종료 프레임 이미지 | IMAGE | 아니요 | - | + +**참고:** `start_image`와 `end_image`가 모두 제공되면 노드는 이 두 프레임 사이를 전환하는 비디오 시퀀스를 생성합니다. `clip_vision_start_image` 및 `clip_vision_end_image` 매개변수는 선택 사항이지만, 제공되는 경우 해당 CLIP 비전 특징이 연결되어 긍정 및 부정 컨디셔닝 모두에 적용됩니다. `start_image`는 처리 전에 첫 번째 `length` 프레임으로 잘리고, `end_image`는 마지막 `length` 프레임으로 잘립니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 비디오 프레임 인코딩 및 CLIP 비전 특징이 적용된 긍정 컨디셔닝 | CONDITIONING | +| `latent` | 비디오 프레임 인코딩 및 CLIP 비전 특징이 적용된 부정 컨디셔닝 | CONDITIONING | +| `latent` | 지정된 비디오 매개변수와 일치하는 차원의 빈 잠재 텐서 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFirstLastFrameToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `8cfca692fc4975bb5238ce749d2102fad4b6cd84e96ef74c3eff2b297ee60c3c` diff --git a/ko/built-in-nodes/WanFunControlToVideo.mdx b/ko/built-in-nodes/WanFunControlToVideo.mdx new file mode 100644 index 000000000..763502645 --- /dev/null +++ b/ko/built-in-nodes/WanFunControlToVideo.mdx @@ -0,0 +1,41 @@ +--- +title: "WanFunControlToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanFunControlToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanFunControlToVideo" +icon: "circle" +mode: wide +--- +이 노드는 Alibaba Wan Fun Control 모델을 지원하여 비디오 생성을 돕기 위해 추가되었으며, [이 커밋](https://github.com/comfyanonymous/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc48524f8ee5f82) 이후에 추가되었습니다. + +- **목적:** Wan 2.1 Fun Control 모델을 사용하여 비디오 생성에 필요한 컨디셔닝 정보를 준비합니다. + +WanFunControlToVideo 노드는 Wan Fun Control 모델을 지원하여 비디오 생성을 돕기 위해 설계된 ComfyUI 추가 기능으로, WanFun 제어를 활용한 비디오 제작을 목표로 합니다. + +이 노드는 필수 컨디셔닝 정보를 준비하고 잠재 공간의 중심점을 초기화하여, Wan 2.1 Fun 모델을 사용한 후속 비디오 생성 과정을 안내하는 역할을 합니다. 노드 이름은 그 기능을 명확히 나타내며, 다양한 입력을 받아 WanFun 프레임워크 내에서 비디오 생성을 제어하는 데 적합한 형식으로 변환합니다. + +ComfyUI 노드 계층 구조에서 이 노드의 위치는 비디오 생성 파이프라인의 초기 단계에서 작동하며, 실제 샘플링이나 비디오 프레임 디코딩 전에 컨디셔닝 신호를 조작하는 데 중점을 둡니다. + +## 입력 + +| 매개변수 이름 | 설명 | 필수 여부 | 데이터 유형 | 기본값 | +| --- | --- | --- | --- | --- | +| positive | 표준 ComfyUI 긍정 컨디셔닝 데이터로, 일반적으로 "CLIP Text Encode" 노드에서 가져옵니다. 긍정 프롬프트는 사용자가 생성된 비디오에서 상상하는 콘텐츠, 주제 및 예술적 스타일을 설명합니다. | 예 | CONDITIONING | N/A | +| negative | 표준 ComfyUI 부정 컨디셔닝 데이터로, 일반적으로 "CLIP Text Encode" 노드에서 생성됩니다. 부정 프롬프트는 사용자가 생성된 비디오에서 피하고자 하는 요소, 스타일 또는 아티팩트를 지정합니다. | 예 | CONDITIONING | N/A | +| vae | Wan 2.1 Fun 모델 제품군과 호환되는 VAE(변분 오토인코더) 모델이 필요하며, 이미지/비디오 데이터의 인코딩 및 디코딩에 사용됩니다. | 예 | VAE | N/A | +| width | 출력 비디오 프레임의 원하는 너비(픽셀 단위)로, 기본값은 832, 최소값은 16, 최대값은 nodes.MAX_RESOLUTION에 의해 결정되며, 단계 크기는 16입니다. | 예 | INT | 832 | +| height | 출력 비디오 프레임의 원하는 높이(픽셀 단위)로, 기본값은 480, 최소값은 16, 최대값은 nodes.MAX_RESOLUTION에 의해 결정되며, 단계 크기는 16입니다. | 예 | INT | 480 | +| length | 생성된 비디오의 총 프레임 수로, 기본값은 81, 최소값은 1, 최대값은 nodes.MAX_RESOLUTION에 의해 결정되며, 단계 크기는 4입니다. | 예 | INT | 81 | +| batch_size | 단일 배치에서 생성되는 비디오 수로, 기본값은 1, 최소값은 1, 최대값은 4096입니다. | 예 | INT | 1 | +| clip_vision_output | (선택 사항) CLIP 비전 모델에 의해 추출된 시각적 특징으로, 시각적 스타일 및 콘텐츠 가이드를 허용합니다. | 아니오 | CLIP_VISION_OUTPUT | None | +| start_image | (선택 사항) 생성된 비디오의 시작 부분에 영향을 미치는 초기 이미지입니다. | 아니오 | IMAGE | None | +| control_video | (선택 사항) 사용자가 사전 처리된 ControlNet 참조 비디오를 제공할 수 있도록 하며, 생성된 비디오의 움직임과 잠재적 구조를 안내합니다. | 아니오 | IMAGE | None | + +## 출력 + +| 매개변수 이름 | 설명 | 데이터 유형 | +| --- | --- | --- | +| positive | 인코딩된 start_image 및 control_video를 포함한 향상된 긍정 컨디셔닝 데이터를 제공합니다. | CONDITIONING | +| negative | 동일한 concat_latent_image를 포함하는 향상된 부정 컨디셔닝 데이터를 제공합니다. | CONDITIONING | +| latent | "samples" 키를 가진 빈 잠재 텐서를 포함하는 사전(dictionary)입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunControlToVideo/ko.md) diff --git a/ko/built-in-nodes/WanFunInpaintToVideo.mdx b/ko/built-in-nodes/WanFunInpaintToVideo.mdx new file mode 100644 index 000000000..18a3a9f2a --- /dev/null +++ b/ko/built-in-nodes/WanFunInpaintToVideo.mdx @@ -0,0 +1,36 @@ +--- +title: "WanFunInpaintToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanFunInpaintToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanFunInpaintToVideo" +icon: "circle" +mode: wide +--- +WanFunInpaintToVideo 노드는 시작 이미지와 종료 이미지 사이를 인페인팅하여 비디오 시퀀스를 생성합니다. 양성 및 음성 컨디셔닝과 선택적 프레임 이미지를 입력받아 비디오 잠재 표현을 생성합니다. 이 노드는 구성 가능한 크기 및 길이 매개변수로 비디오 생성을 처리합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | 비디오 생성을 위한 양성 컨디셔닝 프롬프트 | CONDITIONING | 예 | - | +| `부정 조건` | 비디오 생성에서 제외할 음성 컨디셔닝 프롬프트 | CONDITIONING | 예 | - | +| `vae` | 인코딩/디코딩 작업을 위한 VAE 모델 | VAE | 예 | - | +| `너비` | 출력 비디오 너비(픽셀 단위, 기본값: 832, 증가 단위: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오 높이(픽셀 단위, 기본값: 480, 증가 단위: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 비디오 시퀀스의 프레임 수(기본값: 81, 증가 단위: 4) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 한 번에 생성할 비디오 수(기본값: 1) | INT | 예 | 1 ~ 4096 | +| `clip_vision 출력` | 추가 컨디셔닝을 위한 선택적 CLIP 비전 출력 | CLIP_VISION_OUTPUT | 아니요 | - | +| `시작 이미지` | 비디오 생성을 위한 선택적 시작 프레임 이미지 | IMAGE | 아니요 | - | +| `종료 이미지` | 비디오 생성을 위한 선택적 종료 프레임 이미지 | IMAGE | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 처리된 양성 컨디셔닝 출력 | CONDITIONING | +| `latent` | 처리된 음성 컨디셔닝 출력 | CONDITIONING | +| `latent` | 생성된 비디오 잠재 표현 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunInpaintToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `bbc5c2614f5fc21877345b3f01686ea57bee5108cdb253fb5dbf4b2cce9e59dd` diff --git a/ko/built-in-nodes/WanHuMoImageToVideo.mdx b/ko/built-in-nodes/WanHuMoImageToVideo.mdx new file mode 100644 index 000000000..234232c36 --- /dev/null +++ b/ko/built-in-nodes/WanHuMoImageToVideo.mdx @@ -0,0 +1,37 @@ +--- +title: "WanHuMoImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanHuMoImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanHuMoImageToVideo" +icon: "circle" +mode: wide +--- +WanHuMoImageToVideo 노드는 비디오 프레임에 대한 잠재 표현을 생성하여 이미지를 비디오 시퀀스로 변환합니다. 이 노드는 컨디셔닝 입력을 처리하며, 참조 이미지와 오디오 임베딩을 통합하여 비디오 생성에 영향을 줄 수 있습니다. 노드는 수정된 컨디셔닝 데이터와 비디오 합성에 적합한 잠재 표현을 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 프롬프트` | 원하는 콘텐츠로 비디오 생성을 안내하는 긍정 컨디셔닝 입력입니다. | CONDITIONING | 예 | - | +| `부정 프롬프트` | 원하지 않는 콘텐츠에서 비디오 생성을 멀어지게 하는 부정 컨디셔닝 입력입니다. | CONDITIONING | 예 | - | +| `VAE` | 참조 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델입니다. | VAE | 예 | - | +| `너비` | 출력 비디오 프레임의 가로 픽셀 크기입니다. (기본값: 832, 16으로 나누어 떨어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오 프레임의 세로 픽셀 크기입니다. (기본값: 480, 16으로 나누어 떨어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 생성된 비디오 시퀀스의 프레임 수입니다. (기본값: 97, (길이 - 1)이 4로 나누어 떨어져야 함) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 동시에 생성할 비디오 시퀀스의 개수입니다. (기본값: 1) | INT | 예 | 1 ~ 4096 | +| `오디오 인코더 출력` | 오디오 콘텐츠를 기반으로 비디오 생성에 영향을 줄 수 있는 선택적 오디오 인코딩 데이터입니다. | AUDIOENCODEROUTPUT | 아니요 | - | +| `참조 이미지` | 비디오 생성 스타일과 콘텐츠를 안내하는 데 사용되는 선택적 참조 이미지입니다. | IMAGE | 아니요 | - | + +**참고:** 참조 이미지가 제공되면 인코딩되어 긍정 및 부정 컨디셔닝에 모두 추가됩니다. 오디오 인코더 출력이 제공되면 처리되어 컨디셔닝 데이터에 통합됩니다. 둘 다 제공되지 않으면 참조 잠재 변수와 오디오 임베딩 모두에 대해 0으로 채워진 플레이스홀더 텐서가 사용됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 프롬프트` | 참조 이미지 및/또는 오디오 임베딩이 통합된 수정된 긍정 컨디셔닝입니다. | CONDITIONING | +| `잠재 공간` | 참조 이미지 및/또는 오디오 임베딩이 통합된 수정된 부정 컨디셔닝입니다. | CONDITIONING | +| `latent` | 비디오 시퀀스 데이터를 포함하는 생성된 잠재 표현입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanHuMoImageToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `6301671d04748ce80c561a65df80c7ca146b91bcce8851872df40211af29fd39` diff --git a/ko/built-in-nodes/WanImageToImageApi.mdx b/ko/built-in-nodes/WanImageToImageApi.mdx new file mode 100644 index 000000000..8a7835a97 --- /dev/null +++ b/ko/built-in-nodes/WanImageToImageApi.mdx @@ -0,0 +1,34 @@ +--- +title: "WanImageToImageApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanImageToImageApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanImageToImageApi" +icon: "circle" +mode: wide +--- +# Wan Image to Image 노드 + +Wan Image to Image 노드는 하나 또는 두 개의 입력 이미지와 텍스트 프롬프트로부터 이미지를 생성합니다. 사용자가 제공한 설명에 따라 입력 이미지를 변환하여 원본 입력의 종횡비를 유지하는 새 이미지를 만듭니다. 출력 이미지는 입력 크기와 관계없이 160만 화소로 고정됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 사용할 모델 (기본값: "wan2.5-i2i-preview"). | COMBO | 예 | "wan2.5-i2i-preview" | +| `이미지` | 단일 이미지 편집 또는 다중 이미지 합성, 최대 2개 이미지. | IMAGE | 예 | - | +| `프롬프트` | 요소와 시각적 특징을 설명하는 프롬프트. 영어와 중국어 지원 (기본값: 비어 있음). | STRING | 예 | - | +| `네거티브 프롬프트` | 피해야 할 사항을 설명하는 네거티브 프롬프트 (기본값: 비어 있음). | STRING | 아니요 | - | +| `시드` | 생성에 사용할 시드 (기본값: 0). | INT | 아니요 | 0 ~ 2147483647 | +| `워터마크` | 결과물에 AI 생성 워터마크를 추가할지 여부 (기본값: false). | BOOLEAN | 아니요 | - | + +**참고:** 이 노드는 정확히 1개 또는 2개의 입력 이미지를 허용합니다. 2개를 초과하는 이미지를 제공하거나 이미지를 전혀 제공하지 않으면 노드가 오류를 반환합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `이미지` | 입력 이미지와 텍스트 프롬프트를 기반으로 생성된 이미지. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToImageApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `d69811ddaba718e5468f539fb9b25827efdf79f3ee9cbf31ad8f9387cea9b9be` diff --git a/ko/built-in-nodes/WanImageToVideo.mdx b/ko/built-in-nodes/WanImageToVideo.mdx new file mode 100644 index 000000000..a47000a70 --- /dev/null +++ b/ko/built-in-nodes/WanImageToVideo.mdx @@ -0,0 +1,37 @@ +--- +title: "WanImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanImageToVideo" +icon: "circle" +mode: wide +--- +WanImageToVideo 노드는 비디오 생성 작업을 위한 컨디셔닝 및 잠재 표현을 준비합니다. 비디오 생성을 위한 빈 잠재 공간을 생성하며, 선택적으로 시작 이미지와 CLIP 비전 출력을 통합하여 비디오 생성 과정을 안내할 수 있습니다. 이 노드는 제공된 이미지와 비전 데이터를 기반으로 양수 및 음수 컨디셔닝 입력을 모두 수정합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | 생성을 안내하는 양수 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `부정 조건` | 생성을 안내하는 음수 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `vae` | 이미지를 잠재 공간으로 인코딩하는 VAE 모델 | VAE | 예 | - | +| `너비` | 출력 비디오의 너비 (기본값: 832, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오의 높이 (기본값: 480, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 비디오의 프레임 수 (기본값: 81, 단계: 4) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 한 배치에서 생성할 비디오 수 (기본값: 1) | INT | 예 | 1 ~ 4096 | +| `clip_vision 출력` | 추가 컨디셔닝을 위한 선택적 CLIP 비전 출력 | CLIP_VISION_OUTPUT | 아니요 | - | +| `시작 이미지` | 비디오 생성을 초기화하는 선택적 시작 이미지 | IMAGE | 아니요 | - | + +**참고:** `start_image`가 제공되면 노드는 이미지 시퀀스를 인코딩하고 컨디셔닝 입력에 마스킹을 적용합니다. `clip_vision_output` 매개변수가 제공되면 양수 및 음수 입력 모두에 비전 기반 컨디셔닝을 추가합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 이미지 및 비전 데이터가 통합된 수정된 양수 컨디셔닝 | CONDITIONING | +| `잠재 비디오` | 이미지 및 비전 데이터가 통합된 수정된 음수 컨디셔닝 | CONDITIONING | +| `latent` | 비디오 생성을 위해 준비된 빈 잠재 공간 텐서 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `e9f4350c43e48351523c04d82675c24f868df7b2109530c32b8e752a3ab61e8b` diff --git a/ko/built-in-nodes/WanImageToVideoApi.mdx b/ko/built-in-nodes/WanImageToVideoApi.mdx new file mode 100644 index 000000000..b785c587e --- /dev/null +++ b/ko/built-in-nodes/WanImageToVideoApi.mdx @@ -0,0 +1,45 @@ +--- +title: "WanImageToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanImageToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanImageToVideoApi" +icon: "circle" +mode: wide +--- +# Wan 이미지-투-비디오 노드 + +Wan 이미지-투-비디오 노드는 단일 입력 이미지와 텍스트 프롬프트로부터 비디오를 생성합니다. 제공된 이미지를 첫 번째 프레임으로 사용하고 설명에 기반하여 비디오 시퀀스를 생성하며, 해상도, 지속 시간, 오디오 및 기타 고급 설정 옵션을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 사용할 모델 (기본값: "wan2.6-i2v") | COMBO | 예 | "wan2.5-i2v-preview"
"wan2.6-i2v" | +| `이미지` | 비디오 생성의 첫 번째 프레임으로 사용되는 입력 이미지입니다. 정확히 하나의 이미지가 필요합니다. | IMAGE | 예 | - | +| `프롬프트` | 요소와 시각적 특징을 설명하는 프롬프트입니다. 영어와 중국어를 지원합니다 (기본값: 비어 있음). | STRING | 예 | - | +| `네거티브 프롬프트` | 피해야 할 사항을 설명하는 네거티브 프롬프트입니다 (기본값: 비어 있음). | STRING | 아니요 | - | +| `해상도` | 비디오 해상도 품질입니다 (기본값: "720P"). Wan 2.6 모델은 480P를 지원하지 않습니다. | COMBO | 아니요 | "480P"
"720P"
"1080P" | +| `지속 시간` | 생성된 비디오의 지속 시간(초)입니다. 15초 지속 시간은 Wan 2.6 모델에서만 지원됩니다 (기본값: 5). | INT | 아니요 | 5-15 (단계: 5) | +| `오디오` | 오디오는 명확하고 큰 목소리를 포함해야 하며, 불필요한 소음이나 배경 음악이 없어야 합니다. 제공 시 오디오 지속 시간은 3.0초에서 29.0초 사이여야 합니다. | AUDIO | 아니요 | - | +| `시드` | 생성에 사용할 시드입니다 (기본값: 0). | INT | 아니요 | 0-2147483647 | +| `오디오 생성` | 오디오 입력이 제공되지 않은 경우 오디오를 자동으로 생성합니다 (기본값: False). | BOOLEAN | 아니요 | - | +| `프롬프트 확장` | AI 지원으로 프롬프트를 향상시킬지 여부입니다 (기본값: True). | BOOLEAN | 아니요 | - | +| `워터마크` | 결과물에 AI 생성 워터마크를 추가할지 여부입니다 (기본값: False). | BOOLEAN | 아니요 | - | +| `샷 타입` | 생성된 비디오의 샷 유형을 지정합니다. 즉, 비디오가 단일 연속 샷인지 또는 컷이 있는 여러 샷인지를 결정합니다. 이 매개변수는 prompt_extend가 True인 경우에만 적용됩니다 (기본값: "single"). | COMBO | 아니요 | "single"
"multi" | + +**제약 사항:** + +- 비디오 생성을 위해 정확히 하나의 입력 이미지가 필요합니다. +- Wan 2.6 모델(`wan2.6-i2v`)은 480P 해상도를 지원하지 않습니다. +- 15초 지속 시간은 Wan 2.6 모델(`wan2.6-i2v`)에서만 지원됩니다. +- 오디오가 제공되는 경우, 지속 시간이 3.0초에서 29.0초 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력 이미지와 프롬프트를 기반으로 생성된 비디오입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideoApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `ad4947dbb9c12ebb97ace99cd447431ba6db88a3b74239099fcbea501cff71f0` diff --git a/ko/built-in-nodes/WanInfiniteTalkToVideo.mdx b/ko/built-in-nodes/WanInfiniteTalkToVideo.mdx new file mode 100644 index 000000000..ebdb944c7 --- /dev/null +++ b/ko/built-in-nodes/WanInfiniteTalkToVideo.mdx @@ -0,0 +1,55 @@ +--- +title: "WanInfiniteTalkToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanInfiniteTalkToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanInfiniteTalkToVideo" +icon: "circle" +mode: wide +--- +# WanInfiniteTalkToVideo 노드 + +WanInfiniteTalkToVideo 노드는 오디오 입력으로부터 비디오 시퀀스를 생성합니다. 이 노드는 하나 또는 두 명의 화자로부터 추출된 오디오 특징을 조건으로 하는 비디오 확산 모델을 사용하여 토킹 헤드 비디오의 잠재 표현을 생성합니다. 새로운 시퀀스를 생성하거나 이전 프레임을 모션 컨텍스트로 사용하여 기존 시퀀스를 확장할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `mode` | 오디오 입력 모드입니다. `"single_speaker"`는 하나의 오디오 입력을 사용합니다. `"two_speakers"`는 두 번째 화자와 해당 마스크의 입력을 활성화합니다. | COMBO | 예 | `"single_speaker"`
`"two_speakers"` | +| `model` | 기본 비디오 확산 모델입니다. | MODEL | 예 | - | +| `model_patch` | 오디오 투영 레이어를 포함하는 모델 패치입니다. | MODELPATCH | 예 | - | +| `positive` | 생성을 안내하는 긍정 조건입니다. | CONDITIONING | 예 | - | +| `negative` | 생성을 안내하는 부정 조건입니다. | CONDITIONING | 예 | - | +| `vae` | 이미지를 잠재 공간으로 인코딩하거나 잠재 공간에서 디코딩하는 데 사용되는 VAE입니다. | VAE | 예 | - | +| `width` | 출력 비디오의 픽셀 단위 너비입니다. 16으로 나누어 떨어져야 합니다. (기본값: 832) | INT | 아니요 | 16 - MAX_RESOLUTION | +| `height` | 출력 비디오의 픽셀 단위 높이입니다. 16으로 나누어 떨어져야 합니다. (기본값: 480) | INT | 아니요 | 16 - MAX_RESOLUTION | +| `length` | 생성할 프레임 수입니다. (기본값: 81) | INT | 아니요 | 1 - MAX_RESOLUTION | +| `clip_vision_output` | 추가 조건을 위한 선택적 CLIP 비전 출력입니다. | CLIPVISIONOUTPUT | 아니요 | - | +| `start_image` | 비디오 시퀀스를 초기화하는 선택적 시작 이미지입니다. | IMAGE | 아니요 | - | +| `audio_encoder_output_1` | 첫 번째 화자의 특징을 포함하는 기본 오디오 인코더 출력입니다. | AUDIOENCODEROUTPUT | 예 | - | +| `motion_frame_count` | 시퀀스 확장 시 모션 컨텍스트로 사용할 이전 프레임 수입니다. (기본값: 9) | INT | 아니요 | 1 - 33 | +| `audio_scale` | 오디오 조건에 적용되는 스케일링 계수입니다. (기본값: 1.0) | FLOAT | 아니요 | -10.0 - 10.0 | +| `previous_frames` | 확장할 이전 비디오 프레임입니다(선택 사항). | IMAGE | 아니요 | - | +| `audio_encoder_output_2` | 두 번째 오디오 인코더 출력입니다. `mode`가 `"two_speakers"`로 설정된 경우 필수입니다. | AUDIOENCODEROUTPUT | 아니요 | - | +| `mask_1` | 첫 번째 화자의 마스크입니다. 두 개의 오디오 입력을 사용하는 경우 필수입니다. | MASK | 아니요 | - | +| `mask_2` | 두 번째 화자의 마스크입니다. 두 개의 오디오 입력을 사용하는 경우 필수입니다. | MASK | 아니요 | - | + +**매개변수 제약 조건:** + +* `mode`가 `"two_speakers"`로 설정된 경우, `audio_encoder_output_2`, `mask_1`, `mask_2` 매개변수가 필수가 됩니다. +* `audio_encoder_output_2`가 제공되면 `mask_1`과 `mask_2`도 함께 제공되어야 합니다. +* `mask_1`과 `mask_2`가 제공되면 `audio_encoder_output_2`도 함께 제공되어야 합니다. +* `previous_frames`가 제공되면 `motion_frame_count`에 지정된 수만큼의 프레임 이상을 포함해야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `positive` | 오디오 조건이 적용된 패치된 모델입니다. | MODEL | +| `negative` | 추가 컨텍스트(예: 시작 이미지, CLIP 비전)로 수정될 수 있는 긍정 조건입니다. | CONDITIONING | +| `latent` | 추가 컨텍스트로 수정될 수 있는 부정 조건입니다. | CONDITIONING | +| `trim_image` | 잠재 공간에서 생성된 비디오 시퀀스입니다. | LATENT | +| `trim_image` | 시퀀스 확장 시 모션 컨텍스트 시작 부분에서 제거해야 하는 프레임 수입니다. | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanInfiniteTalkToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `6bb976da5cac0b61edb7d4c9d206c7c7ea9ffc0e982034c23c7f2e891e972888` diff --git a/ko/built-in-nodes/WanMoveConcatTrack.mdx b/ko/built-in-nodes/WanMoveConcatTrack.mdx new file mode 100644 index 000000000..75041f9a6 --- /dev/null +++ b/ko/built-in-nodes/WanMoveConcatTrack.mdx @@ -0,0 +1,26 @@ +--- +title: "WanMoveConcatTrack - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanMoveConcatTrack node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanMoveConcatTrack" +icon: "circle" +mode: wide +--- +WanMoveConcatTrack 노드는 두 세트의 모션 트래킹 데이터를 하나의 더 긴 시퀀스로 결합합니다. 이 노드는 입력된 트랙의 경로와 가시성 마스크를 각각의 차원을 따라 연결하여 작동합니다. 하나의 트랙 입력만 제공된 경우, 해당 데이터를 변경 없이 그대로 전달합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `트랙 1` | 연결할 첫 번째 모션 트래킹 데이터 세트입니다. | TRACKS | 예 | | +| `트랙 2` | 선택적인 두 번째 모션 트래킹 데이터 세트입니다. 제공되지 않으면 `트랙 1`이 출력으로 직접 전달됩니다. | TRACKS | 아니요 | | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `tracks` | 입력에서 결합된 `track_path`와 `track_visibility`를 포함하는 연결된 모션 트래킹 데이터입니다. | TRACKS | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveConcatTrack/ko.md) + +--- +**Source fingerprint (SHA-256):** `d9b4c00291c6fa8e17bf54ecdcd16f7f6874159fe8cebebe66568dc2a744868f` diff --git a/ko/built-in-nodes/WanMoveTrackToVideo.mdx b/ko/built-in-nodes/WanMoveTrackToVideo.mdx new file mode 100644 index 000000000..e3566dfab --- /dev/null +++ b/ko/built-in-nodes/WanMoveTrackToVideo.mdx @@ -0,0 +1,41 @@ +--- +title: "WanMoveTrackToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanMoveTrackToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanMoveTrackToVideo" +icon: "circle" +mode: wide +--- +# WanMoveTrackToVideo 노드 + +WanMoveTrackToVideo 노드는 비디오 생성을 위한 컨디셔닝 및 잠재 공간 데이터를 준비하며, 선택적으로 모션 트래킹 정보를 통합합니다. 시작 이미지 시퀀스를 잠재 표현으로 인코딩하고, 객체 트랙의 위치 데이터를 혼합하여 생성된 비디오의 움직임을 안내할 수 있습니다. 이 노드는 수정된 포지티브 및 네거티브 컨디셔닝과 함께 비디오 모델에 사용할 준비가 된 빈 잠재 텐서를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `positive` | 수정할 포지티브 컨디셔닝 입력입니다. | CONDITIONING | 예 | - | +| `negative` | 수정할 네거티브 컨디셔닝 입력입니다. | CONDITIONING | 예 | - | +| `vae` | 시작 이미지를 잠재 공간으로 인코딩하는 데 사용되는 VAE 모델입니다. | VAE | 예 | - | +| `트랙` | 객체 경로가 포함된 선택적 모션 트래킹 데이터입니다. | TRACKS | 아니요 | - | +| `강도` | 트랙 컨디셔닝의 강도입니다. (기본값: 1.0) | FLOAT | 아니요 | 0.0 - 100.0 | +| `너비` | 출력 비디오의 너비입니다. 16으로 나누어 떨어져야 합니다. (기본값: 832) | INT | 아니요 | 16 - MAX_RESOLUTION | +| `높이` | 출력 비디오의 높이입니다. 16으로 나누어 떨어져야 합니다. (기본값: 480) | INT | 아니요 | 16 - MAX_RESOLUTION | +| `길이` | 비디오 시퀀스의 프레임 수입니다. (기본값: 81) | INT | 아니요 | 1 - MAX_RESOLUTION | +| `배치 크기` | 잠재 출력의 배치 크기입니다. (기본값: 1) | INT | 아니요 | 1 - 4096 | +| `시작 이미지` | 인코딩할 시작 이미지 또는 이미지 시퀀스입니다. | IMAGE | 예 | - | +| `clip 비전 출력` | 컨디셔닝에 추가할 선택적 CLIP 비전 모델 출력입니다. | CLIPVISIONOUTPUT | 아니요 | - | + +**참고:** `strength` 매개변수는 `tracks`가 제공된 경우에만 효과가 있습니다. `tracks`가 제공되지 않거나 `strength`가 0.0인 경우 트랙 컨디셔닝이 적용되지 않습니다. `start_image`는 컨디셔닝을 위한 잠재 이미지와 마스크를 생성하는 데 사용됩니다. 제공되지 않으면 노드는 컨디셔닝을 그대로 전달하고 빈 잠재 텐서를 출력합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `negative` | 수정된 포지티브 컨디셔닝으로, `concat_latent_image`, `concat_mask` 및 `clip 비전 출력`을 포함할 수 있습니다. | CONDITIONING | +| `latent` | 수정된 네거티브 컨디셔닝으로, `concat_latent_image`, `concat_mask` 및 `clip 비전 출력`을 포함할 수 있습니다. | CONDITIONING | +| `latent` | `배치 크기`, `길이`, `높이` 및 `너비` 입력에 의해 차원이 결정된 빈 잠재 텐서입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTrackToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `9677addf5b94b42efd3015f51380c1fa9b16d4a5105cc7f24de0be34c0042bbc` diff --git a/ko/built-in-nodes/WanMoveTracksFromCoords.mdx b/ko/built-in-nodes/WanMoveTracksFromCoords.mdx new file mode 100644 index 000000000..6867ed076 --- /dev/null +++ b/ko/built-in-nodes/WanMoveTracksFromCoords.mdx @@ -0,0 +1,31 @@ +--- +title: "WanMoveTracksFromCoords - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanMoveTracksFromCoords node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanMoveTracksFromCoords" +icon: "circle" +mode: wide +--- +# WanMoveTracksFromCoords + +WanMoveTracksFromCoords 노드는 JSON 형식의 좌표 문자열로부터 모션 트랙을 생성합니다. 좌표 데이터를 다른 비디오 처리 노드에서 사용할 수 있는 텐서 형식으로 변환하며, 선택적으로 마스크를 적용하여 시간에 따른 트랙의 가시성을 제어할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `트랙 좌표` | 트랙의 좌표 데이터를 포함하는 JSON 형식 문자열입니다. 기본값은 빈 목록(`"[]"`)입니다. | STRING | 아니요 | 해당 없음 | +| `트랙 마스크` | 선택적 마스크입니다. 제공된 경우 노드는 이를 사용하여 각 프레임별 트랙의 가시성을 결정합니다. | MASK | 아니요 | 해당 없음 | + +**참고:** `track_coords` 입력은 특정 JSON 구조를 필요로 합니다. 이는 트랙 목록이어야 하며, 각 트랙은 프레임 목록이고, 각 프레임은 `x` 및 `y` 좌표를 가진 객체여야 합니다. 모든 트랙에서 프레임 수가 일관되어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `트랙 길이` | 생성된 트랙 데이터로, 각 트랙의 경로 좌표와 가시성 정보를 포함합니다. | TRACKS | +| `track_length` | 생성된 트랙의 총 프레임 수입니다. | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/ko.md) + +--- +**Source fingerprint (SHA-256):** `106b05b3bdb5ede6e31216b9f3c14160630df0eee1f4e8a645c2b6cf9fbecf8c` diff --git a/ko/built-in-nodes/WanMoveVisualizeTracks.mdx b/ko/built-in-nodes/WanMoveVisualizeTracks.mdx new file mode 100644 index 000000000..091d30ee5 --- /dev/null +++ b/ko/built-in-nodes/WanMoveVisualizeTracks.mdx @@ -0,0 +1,34 @@ +--- +title: "WanMoveVisualizeTracks - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanMoveVisualizeTracks node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanMoveVisualizeTracks" +icon: "circle" +mode: wide +--- +# WanMoveVisualizeTracks + +WanMoveVisualizeTracks 노드는 이미지 시퀀스 또는 비디오 프레임 위에 모션 트래킹 데이터를 오버레이합니다. 트래킹된 포인트의 이동 경로와 현재 위치를 시각적으로 표현하여 모션 데이터를 눈으로 확인하고 분석하기 쉽게 만듭니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 트랙을 시각화할 입력 이미지 또는 비디오 프레임 시퀀스입니다. | IMAGE | 예 | - | +| `트랙` | 포인트 경로 및 가시성 정보가 포함된 모션 트래킹 데이터입니다. 제공되지 않으면 입력 이미지가 변경 없이 그대로 전달됩니다. | TRACKS | 아니요 | - | +| `선 해상도` | 각 트랙의 후행 경로 선을 그릴 때 사용할 이전 프레임 수입니다(기본값: 24). | INT | 예 | 1 - 1024 | +| `원 크기` | 각 트랙의 현재 위치에 그려지는 원의 크기입니다(기본값: 12). | INT | 예 | 1 - 128 | +| `불투명도` | 그려진 트랙 오버레이의 불투명도입니다(기본값: 0.75). | FLOAT | 예 | 0.0 - 1.0 | +| `선 두께` | 트랙 경로를 그리는 데 사용되는 선의 두께입니다(기본값: 16). | INT | 예 | 1 - 128 | + +**참고:** 입력 이미지 수가 제공된 `tracks` 데이터의 프레임 수와 일치하지 않으면, 이미지 시퀀스가 트랙 길이에 맞게 반복됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | 모션 트래킹 데이터가 오버레이로 시각화된 이미지 시퀀스입니다. `트랙`가 제공되지 않은 경우 원본 입력 이미지가 반환됩니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveVisualizeTracks/ko.md) + +--- +**Source fingerprint (SHA-256):** `b32169a8c9d3a2dd74463c81f6bd7d9a4bc66486af156843f32b0874f0eaeb8f` diff --git a/ko/built-in-nodes/WanPhantomSubjectToVideo.mdx b/ko/built-in-nodes/WanPhantomSubjectToVideo.mdx new file mode 100644 index 000000000..3f9a33b5d --- /dev/null +++ b/ko/built-in-nodes/WanPhantomSubjectToVideo.mdx @@ -0,0 +1,39 @@ +--- +title: "WanPhantomSubjectToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanPhantomSubjectToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanPhantomSubjectToVideo" +icon: "circle" +mode: wide +--- +# WanPhantomSubjectToVideo 노드 + +WanPhantomSubjectToVideo 노드는 컨디셔닝 입력과 선택적 참조 이미지를 처리하여 비디오 콘텐츠를 생성합니다. 비디오 생성에 필요한 잠재 표현을 만들며, 입력 이미지가 제공될 경우 시각적 안내를 통합할 수 있습니다. 이 노드는 비디오 모델을 위한 시간 차원 연결이 적용된 컨디셔닝 데이터를 준비하고, 수정된 컨디셔닝과 함께 생성된 잠재 비디오 데이터를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `포지티브` | 비디오 생성을 안내하는 긍정 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `네거티브` | 특정 특성을 회피하기 위한 부정 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `VAE` | 이미지 제공 시 인코딩에 사용되는 VAE 모델 | VAE | 예 | - | +| `너비` | 출력 비디오의 가로 픽셀 크기 (기본값: 832, 16으로 나누어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오의 세로 픽셀 크기 (기본값: 480, 16으로 나누어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 생성된 비디오의 프레임 수 (기본값: 81, 4로 나누어져야 함) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 동시에 생성할 비디오 개수 (기본값: 1) | INT | 예 | 1 ~ 4096 | +| `이미지` | 시간 차원 컨디셔닝을 위한 선택적 참조 이미지 | IMAGE | 아니요 | - | + +**참고:** `images`가 제공되면 지정된 `width`와 `height`에 맞게 자동으로 업스케일되며, 처음 `length`개의 프레임만 처리에 사용됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `네거티브 텍스트` | 이미지 제공 시 시간 차원 연결이 적용된 수정된 긍정 컨디셔닝 | CONDITIONING | +| `네거티브 이미지 텍스트` | 이미지 제공 시 시간 차원 연결이 적용된 수정된 부정 컨디셔닝 | CONDITIONING | +| `잠재` | 이미지 제공 시 시간 차원 연결이 0으로 설정된 부정 컨디셔닝 | CONDITIONING | +| `latent` | 지정된 차원과 길이로 생성된 잠재 비디오 표현 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `2e3e8277dca9e998220fc5939c2cc72fdc15e80cc4b95daa33f5b92e2270dd73` diff --git a/ko/built-in-nodes/WanReferenceVideoApi.mdx b/ko/built-in-nodes/WanReferenceVideoApi.mdx new file mode 100644 index 000000000..a8f45864c --- /dev/null +++ b/ko/built-in-nodes/WanReferenceVideoApi.mdx @@ -0,0 +1,40 @@ +--- +title: "WanReferenceVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanReferenceVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanReferenceVideoApi" +icon: "circle" +mode: wide +--- +# Wan 참조 영상 API 노드 + +Wan 참조 영상(Reference to Video) 노드는 하나 이상의 입력 참조 영상에서 시각적 외형과 음성을 사용하여 텍스트 프롬프트와 함께 새로운 영상을 생성합니다. 사용자의 설명에 기반하여 새로운 콘텐츠를 만들면서 참조 자료의 캐릭터와 일관성을 유지합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 영상 생성에 사용할 특정 AI 모델입니다. | COMBO | 예 | `"wan2.6-r2v"` | +| `프롬프트` | 새 영상의 요소와 시각적 특징을 설명합니다. 영어와 중국어를 지원합니다. `character1`, `character2`와 같은 식별자를 사용하여 참조 영상의 캐릭터를 지칭할 수 있습니다. | STRING | 예 | - | +| `네거티브 프롬프트` | 생성된 영상에서 제외할 요소나 특징을 설명합니다. | STRING | 아니요 | - | +| `참조 비디오` | 캐릭터 외형과 음성의 참조로 사용되는 영상 입력 목록입니다. 최소 하나의 영상을 제공해야 합니다. 각 영상에는 `character1`, `character2`, `character3`과 같은 이름을 지정할 수 있습니다. | AUTOGROW | 예 | - | +| `크기` | 출력 영상의 해상도와 화면 비율입니다. | COMBO | 예 | `"720p: 1:1 (960x960)"`
`"720p: 16:9 (1280x720)"`
`"720p: 9:16 (720x1280)"`
`"720p: 4:3 (1088x832)"`
`"720p: 3:4 (832x1088)"`
`"1080p: 1:1 (1440x1440)"`
`"1080p: 16:9 (1920x1080)"`
`"1080p: 9:16 (1080x1920)"`
`"1080p: 4:3 (1632x1248)"`
`"1080p: 3:4 (1248x1632)"` | +| `길이` | 생성된 영상의 길이(초)입니다. 값은 5의 배수여야 합니다(기본값: 5). | INT | 예 | 5 ~ 10 | +| `시드` | 재현 가능한 결과를 위한 무작위 시드 값입니다. 0으로 설정하면 무작위 시드가 생성됩니다. | INT | 아니요 | 0 ~ 2147483647 | +| `샷 타입` | 생성된 영상이 단일 연속 촬영인지, 컷이 포함된 여러 촬영인지 지정합니다. | COMBO | 예 | `"single"`
`"multi"` | +| `워터마크` | 활성화하면 최종 영상에 AI 생성 워터마크가 추가됩니다(기본값: False). | BOOLEAN | 아니요 | - | + +**제약 사항:** + +* `reference_videos`에 제공된 각 영상의 길이는 2초에서 30초 사이여야 합니다. +* `duration` 매개변수는 특정 값(5초 또는 10초)으로 제한됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 새로 생성된 영상 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanReferenceVideoApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `ed29f0bd3a1b30a81c94896976c4f9ff7bf5d0bcafaba66d70be61fce1418962` diff --git a/ko/built-in-nodes/WanSCAILToVideo.mdx b/ko/built-in-nodes/WanSCAILToVideo.mdx new file mode 100644 index 000000000..cd6400b86 --- /dev/null +++ b/ko/built-in-nodes/WanSCAILToVideo.mdx @@ -0,0 +1,41 @@ +--- +title: "WanSCAILToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanSCAILToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanSCAILToVideo" +icon: "circle" +mode: wide +--- +WanSCAILToVideo 노드는 비디오 생성을 위한 컨디셔닝과 빈 잠재 공간을 준비합니다. 참조 이미지, 포즈 비디오, CLIP 비전 출력과 같은 선택적 입력을 처리하여 비디오 모델의 포지티브 및 네거티브 컨디셔닝에 임베딩합니다. 이 노드는 수정된 컨디셔닝과 지정된 비디오 크기의 빈 잠재 텐서를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `positive` | 포지티브 컨디셔닝 입력입니다. | CONDITIONING | 예 | - | +| `negative` | 네거티브 컨디셔닝 입력입니다. | CONDITIONING | 예 | - | +| `vae` | 이미지와 비디오 프레임 인코딩에 사용되는 VAE 모델입니다. | VAE | 예 | - | +| `너비` | 출력 비디오의 픽셀 단위 너비입니다(기본값: 512). 8로 나누어 떨어져야 합니다. | INT | 예 | 32 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오의 픽셀 단위 높이입니다(기본값: 896). 8로 나누어 떨어져야 합니다. | INT | 예 | 32 ~ MAX_RESOLUTION | +| `길이` | 비디오의 프레임 수입니다(기본값: 81). 4로 나누어 떨어져야 합니다. | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 한 배치에서 생성할 비디오 수입니다(기본값: 1). | INT | 예 | 1 ~ 4096 | +| `clip_vision_output` | 컨디셔닝을 위한 선택적 CLIP 비전 출력입니다. | CLIP_VISION_OUTPUT | 아니요 | - | +| `참조 이미지` | 컨디셔닝을 위한 선택적 참조 이미지입니다. | IMAGE | 아니요 | - | +| `포즈 비디오` | 포즈 컨디셔닝에 사용되는 비디오입니다. 주 비디오 해상도의 절반으로 축소됩니다. | IMAGE | 아니요 | - | +| `포즈 강도` | 포즈 잠재의 강도입니다(기본값: 1.0). | FLOAT | 예 | 0.0 ~ 10.0 | +| `포즈 시작` | 포즈 컨디셔닝을 사용할 시작 단계입니다(기본값: 0.0). | FLOAT | 예 | 0.0 ~ 1.0 | +| `포즈 종료` | 포즈 컨디셔닝을 사용할 종료 단계입니다(기본값: 1.0). | FLOAT | 예 | 0.0 ~ 1.0 | + +**참고:** `pose_video` 입력은 처음 `length` 프레임에 대해서만 처리됩니다. `reference_image`는 배치의 첫 번째 이미지에 대해서만 처리됩니다. `reference_image`가 제공되면 동일한 크기의 0으로 채워진 잠재가 네거티브 컨디셔닝에 사용됩니다. `clip_vision_output`이 제공되면 포지티브 및 네거티브 컨디셔닝 모두에 적용됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `negative` | 수정된 포지티브 컨디셔닝으로, 참조 이미지 잠재, CLIP 비전 출력 또는 포즈 비디오 잠재가 포함될 수 있습니다. | CONDITIONING | +| `latent` | 수정된 네거티브 컨디셔닝으로, 참조 이미지 잠재, CLIP 비전 출력 또는 포즈 비디오 잠재가 포함될 수 있습니다. | CONDITIONING | +| `latent` | `[batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8]` 형태의 빈 잠재 텐서입니다. | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSCAILToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `63de4b6fe41fc23ea81c21965a2dbfc82120bb1bad6785b2130af824e015fbcb` diff --git a/ko/built-in-nodes/WanSoundImageToVideo.mdx b/ko/built-in-nodes/WanSoundImageToVideo.mdx new file mode 100644 index 000000000..42fa04a2e --- /dev/null +++ b/ko/built-in-nodes/WanSoundImageToVideo.mdx @@ -0,0 +1,37 @@ +--- +title: "WanSoundImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanSoundImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanSoundImageToVideo" +icon: "circle" +mode: wide +--- +WanSoundImageToVideo 노드는 오디오 컨디셔닝을 선택적으로 적용하여 이미지로부터 비디오 콘텐츠를 생성합니다. 포지티브 및 네거티브 컨디셔닝 프롬프트와 VAE 모델을 입력받아 비디오 잠재 표현을 생성하며, 참조 이미지, 오디오 인코딩, 제어 비디오 및 모션 참조를 활용하여 비디오 생성 과정을 안내할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 프롬프트` | 생성된 비디오에 나타나야 할 콘텐츠를 안내하는 포지티브 컨디셔닝 프롬프트입니다 | CONDITIONING | 예 | - | +| `부정 프롬프트` | 생성된 비디오에서 제외되어야 할 콘텐츠를 지정하는 네거티브 컨디셔닝 프롬프트입니다 | CONDITIONING | 예 | - | +| `VAE` | 비디오 잠재 표현의 인코딩 및 디코딩에 사용되는 VAE 모델입니다 | VAE | 예 | - | +| `너비` | 출력 비디오의 가로 픽셀 크기입니다 (기본값: 832, 16으로 나누어 떨어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오의 세로 픽셀 크기입니다 (기본값: 480, 16으로 나누어 떨어져야 함) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 생성된 비디오의 프레임 수입니다 (기본값: 77, 4로 나누어 떨어져야 함) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 동시에 생성할 비디오 개수입니다 (기본값: 1) | INT | 예 | 1 ~ 4096 | +| `오디오 인코더 출력` | 사운드 특성에 따라 비디오 생성에 영향을 줄 수 있는 선택적 오디오 인코딩입니다 | AUDIOENCODEROUTPUT | 아니요 | - | +| `참조 이미지` | 비디오 콘텐츠에 시각적 지침을 제공하는 선택적 참조 이미지입니다 | IMAGE | 아니요 | - | +| `제어 비디오` | 생성된 비디오의 움직임과 구조를 안내하는 선택적 제어 비디오입니다 | IMAGE | 아니요 | - | +| `참조 모션` | 비디오의 움직임 패턴에 대한 지침을 제공하는 선택적 모션 참조입니다 | IMAGE | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 프롬프트` | 비디오 생성을 위해 수정된 처리된 포지티브 컨디셔닝입니다 | CONDITIONING | +| `잠재 공간` | 비디오 생성을 위해 수정된 처리된 네거티브 컨디셔닝입니다 | CONDITIONING | +| `latent` | 최종 비디오 프레임으로 디코딩될 수 있는 잠재 공간에서 생성된 비디오 표현입니다 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `f80f82b8671294a14ecfecf91bc13febae0c91c5efa438467a4413d52dc82d3f` diff --git a/ko/built-in-nodes/WanSoundImageToVideoExtend.mdx b/ko/built-in-nodes/WanSoundImageToVideoExtend.mdx new file mode 100644 index 000000000..d5e65b2f3 --- /dev/null +++ b/ko/built-in-nodes/WanSoundImageToVideoExtend.mdx @@ -0,0 +1,36 @@ +--- +title: "WanSoundImageToVideoExtend - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanSoundImageToVideoExtend node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanSoundImageToVideoExtend" +icon: "circle" +mode: wide +--- +# WanSoundImageToVideoExtend 노드 + +WanSoundImageToVideoExtend 노드는 기존 비디오 잠재 표현에 추가 프레임을 생성하여 비디오를 확장합니다. 선택적으로 오디오, 참조 이미지 및 제어 비디오의 안내를 받을 수 있습니다. 시작 비디오 잠재 표현을 입력받아 제공된 조건화 및 오디오 신호를 활용하여 더 긴 비디오 시퀀스를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 프롬프트` | 비디오에 포함되어야 할 내용을 안내하는 긍정 조건화 프롬프트 | CONDITIONING | 예 | - | +| `부정 프롬프트` | 비디오에서 제외되어야 할 내용을 지정하는 부정 조건화 프롬프트 | CONDITIONING | 예 | - | +| `VAE` | 비디오 프레임의 인코딩 및 디코딩에 사용되는 변분 오토인코더 | VAE | 예 | - | +| `길이` | 비디오 시퀀스에 생성할 총 프레임 수 (기본값: 77, 단계: 4) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `비디오 잠재 공간` | 확장의 시작점이 되는 초기 비디오 잠재 표현 | LATENT | 예 | - | +| `오디오 인코더 출력` | 사운드 특성에 기반하여 비디오 생성에 영향을 줄 수 있는 선택적 오디오 임베딩 | AUDIOENCODEROUTPUT | 아니요 | - | +| `참조 이미지` | 비디오 생성을 위한 시각적 안내를 제공하는 선택적 참조 이미지 | IMAGE | 아니요 | - | +| `제어 비디오` | 생성된 비디오의 움직임과 스타일을 안내할 수 있는 선택적 제어 비디오 | IMAGE | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 프롬프트` | 비디오 컨텍스트가 적용된 처리된 긍정 조건화 | CONDITIONING | +| `잠재 공간` | 비디오 컨텍스트가 적용된 처리된 부정 조건화 | CONDITIONING | +| `latent` | 확장된 비디오 시퀀스를 포함하는 생성된 비디오 잠재 표현 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/ko.md) + +--- +**Source fingerprint (SHA-256):** `fc9aee5d51e96b864da7d75f592f07691be8b970346998b209b3ad8a72308ecb` diff --git a/ko/built-in-nodes/WanTextToImageApi.mdx b/ko/built-in-nodes/WanTextToImageApi.mdx new file mode 100644 index 000000000..1c9a630c5 --- /dev/null +++ b/ko/built-in-nodes/WanTextToImageApi.mdx @@ -0,0 +1,32 @@ +--- +title: "WanTextToImageApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanTextToImageApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanTextToImageApi" +icon: "circle" +mode: wide +--- +Wan Text to Image 노드는 텍스트 설명을 기반으로 이미지를 생성합니다. AI 모델을 사용하여 작성된 프롬프트로부터 시각적 콘텐츠를 만들며, 영어와 중국어 텍스트 입력을 모두 지원합니다. 이 노드는 출력 이미지의 크기, 품질 및 스타일 선호도를 조정할 수 있는 다양한 제어 기능을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 사용할 모델입니다 (기본값: "wan2.5-t2i-preview") | COMBO | 예 | "wan2.5-t2i-preview" | +| `프롬프트` | 요소와 시각적 특징을 설명하는 프롬프트입니다. 영어와 중국어를 지원합니다 (기본값: 비어 있음) | STRING | 예 | - | +| `부정 프롬프트` | 피해야 할 사항을 설명하는 네거티브 프롬프트입니다 (기본값: 비어 있음) | STRING | 아니요 | - | +| `너비` | 이미지의 가로 너비(픽셀)입니다 (기본값: 1024, 단계: 32) | INT | 아니요 | 768-1440 | +| `높이` | 이미지의 세로 높이(픽셀)입니다 (기본값: 1024, 단계: 32) | INT | 아니요 | 768-1440 | +| `시드` | 생성에 사용할 시드 값입니다 (기본값: 0) | INT | 아니요 | 0-2147483647 | +| `프롬프트 확장` | AI 지원을 통해 프롬프트를 향상시킬지 여부입니다 (기본값: True) | BOOLEAN | 아니요 | - | +| `워터마크` | 결과물에 AI 생성 워터마크를 추가할지 여부입니다 (기본값: False) | BOOLEAN | 아니요 | - | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 텍스트 프롬프트를 기반으로 생성된 이미지입니다 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToImageApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `2a59551d7ff0fc0553f41561afd94092d2d950ac3e1aa3f6402436540da7d6fb` diff --git a/ko/built-in-nodes/WanTextToVideoApi.mdx b/ko/built-in-nodes/WanTextToVideoApi.mdx new file mode 100644 index 000000000..5025b5ee3 --- /dev/null +++ b/ko/built-in-nodes/WanTextToVideoApi.mdx @@ -0,0 +1,39 @@ +--- +title: "WanTextToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanTextToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanTextToVideoApi" +icon: "circle" +mode: wide +--- +# Wan 텍스트-투-비디오 노드 + +Wan 텍스트-투-비디오 노드는 텍스트 설명을 기반으로 비디오 콘텐츠를 생성합니다. AI 모델을 사용하여 프롬프트로부터 비디오를 생성하며, 다양한 비디오 크기, 길이 및 선택적 오디오 입력을 지원합니다. 이 노드는 필요 시 오디오를 자동으로 생성할 수 있으며, 프롬프트 향상 및 워터마킹 옵션을 제공합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 사용할 모델 (기본값: "wan2.6-t2v") | COMBO | 예 | "wan2.5-t2v-preview"
"wan2.6-t2v" | +| `프롬프트` | 요소와 시각적 특징을 설명하는 프롬프트입니다. 영어와 중국어를 지원합니다 (기본값: "") | STRING | 예 | - | +| `부정 프롬프트` | 피해야 할 내용을 설명하는 네거티브 프롬프트입니다 (기본값: "") | STRING | 아니요 | - | +| `크기` | 비디오 해상도 및 화면 비율 (기본값: "720p: 1:1 (960x960)") | COMBO | 아니요 | "480p: 1:1 (624x624)"
"480p: 16:9 (832x480)"
"480p: 9:16 (480x832)"
"720p: 1:1 (960x960)"
"720p: 16:9 (1280x720)"
"720p: 9:16 (720x1280)"
"720p: 4:3 (1088x832)"
"720p: 3:4 (832x1088)"
"1080p: 1:1 (1440x1440)"
"1080p: 16:9 (1920x1080)"
"1080p: 9:16 (1080x1920)"
"1080p: 4:3 (1632x1248)"
"1080p: 3:4 (1248x1632)" | +| `지속 시간` | 비디오 길이(초)입니다. 15초 길이는 Wan 2.6 모델에서만 사용 가능합니다 (기본값: 5) | INT | 아니요 | 5-15 (5단위) | +| `오디오` | 오디오는 명확하고 큰 음성이 포함되어야 하며, 잡음이나 배경 음악이 없어야 합니다 | AUDIO | 아니요 | - | +| `시드` | 생성에 사용할 시드입니다 (기본값: 0) | INT | 아니요 | 0-2147483647 | +| `오디오 생성` | 오디오 입력이 제공되지 않은 경우, 오디오를 자동으로 생성합니다 (기본값: False) | BOOLEAN | 아니요 | - | +| `프롬프트 확장` | AI 지원으로 프롬프트를 향상시킬지 여부입니다 (기본값: True) | BOOLEAN | 아니요 | - | +| `워터마크` | 결과물에 AI 생성 워터마크를 추가할지 여부입니다 (기본값: False) | BOOLEAN | 아니요 | - | +| `샷 타입` | 생성된 비디오의 촬영 유형을 지정합니다. 즉, 비디오가 단일 연속 촬영인지 또는 컷이 있는 여러 촬영인지를 나타냅니다. 이 매개변수는 prompt_extend가 True일 때만 적용됩니다 (기본값: "single") | COMBO | 아니요 | "single"
"multi" | + +**참고:** Wan 2.6 모델은 480p 해상도를 지원하지 않습니다. 15초 길이는 Wan 2.6 모델에서만 지원됩니다. 오디오 입력을 제공할 경우, 길이가 3.0초에서 29.0초 사이여야 하며 배경 잡음이나 음악 없이 명확한 음성이 포함되어야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 입력 매개변수를 기반으로 생성된 비디오입니다 | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToVideoApi/ko.md) + +--- +**Source fingerprint (SHA-256):** `e978f384365060a6d71899e4e2e22b2c6f4268fb0da988c8902e4876d8597a96` diff --git a/ko/built-in-nodes/WanTrackToVideo.mdx b/ko/built-in-nodes/WanTrackToVideo.mdx new file mode 100644 index 000000000..f5ecd5b38 --- /dev/null +++ b/ko/built-in-nodes/WanTrackToVideo.mdx @@ -0,0 +1,40 @@ +--- +title: "WanTrackToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanTrackToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanTrackToVideo" +icon: "circle" +mode: wide +--- +WanTrackToVideo 노드는 트랙 포인트를 처리하고 해당 비디오 프레임을 생성하여 모션 트래킹 데이터를 비디오 시퀀스로 변환합니다. 트래킹 좌표를 입력으로 받아 비디오 생성에 사용할 수 있는 비디오 컨디셔닝 및 잠재 표현을 생성합니다. 트랙이 제공되지 않으면 표준 이미지-투-비디오 변환으로 대체됩니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정` | 비디오 생성을 위한 포지티브 컨디셔닝 | CONDITIONING | 예 | - | +| `부정` | 비디오 생성을 위한 네거티브 컨디셔닝 | CONDITIONING | 예 | - | +| `VAE` | 인코딩 및 디코딩을 위한 VAE 모델 | VAE | 예 | - | +| `트랙` | 여러 줄 문자열 형태의 JSON 형식 트래킹 데이터 (기본값: "[]") | STRING | 예 | - | +| `너비` | 출력 비디오의 가로 픽셀 크기 (기본값: 832, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오의 세로 픽셀 크기 (기본값: 480, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 출력 비디오의 프레임 수 (기본값: 81, 단계: 4) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 동시에 생성할 비디오 개수 (기본값: 1) | INT | 예 | 1 ~ 4096 | +| `온도` | 모션 패칭을 위한 온도 매개변수 (기본값: 220.0, 단계: 0.1) | FLOAT | 예 | 1.0 ~ 1000.0 | +| `상위 K` | 모션 패칭을 위한 Top-k 값 (기본값: 2) | INT | 예 | 1 ~ 10 | +| `시작 이미지` | 비디오 생성을 위한 시작 이미지 | IMAGE | 아니요 | - | +| `CLIP 비전 출력` | 추가 컨디셔닝을 위한 CLIP 비전 출력 | CLIPVISIONOUTPUT | 아니요 | - | + +**참고:** `tracks`에 유효한 트래킹 데이터가 포함된 경우, 노드는 모션 트랙을 처리하여 비디오를 생성합니다. `tracks`가 비어 있으면 표준 이미지-투-비디오 모드로 전환됩니다. `start_image`가 제공되면 비디오 시퀀스의 첫 번째 프레임을 초기화합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정` | 모션 트랙 정보가 적용된 포지티브 컨디셔닝 | CONDITIONING | +| `잠재` | 모션 트랙 정보가 적용된 네거티브 컨디셔닝 | CONDITIONING | +| `latent` | 생성된 비디오 잠재 표현 | LATENT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTrackToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `b3e12492d3dafa100266f6be8fe05e4d62b827f1a2bdb4029f804b107dc691ed` diff --git a/ko/built-in-nodes/WanVaceToVideo.mdx b/ko/built-in-nodes/WanVaceToVideo.mdx new file mode 100644 index 000000000..a982b5fb3 --- /dev/null +++ b/ko/built-in-nodes/WanVaceToVideo.mdx @@ -0,0 +1,40 @@ +--- +title: "WanVaceToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanVaceToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanVaceToVideo" +icon: "circle" +mode: wide +--- +WanVaceToVideo 노드는 비디오 생성 모델을 위한 비디오 컨디셔닝 데이터를 처리합니다. 이 노드는 긍정 및 부정 컨디셔닝 입력과 비디오 제어 데이터를 받아 비디오 생성을 위한 잠재 표현을 준비합니다. 또한 비디오 업스케일링, 마스킹 및 VAE 인코딩을 처리하여 비디오 모델에 적합한 컨디셔닝 구조를 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `긍정 조건` | 생성을 안내하는 긍정 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `부정 조건` | 생성을 안내하는 부정 컨디셔닝 입력 | CONDITIONING | 예 | - | +| `vae` | 이미지 및 비디오 프레임 인코딩에 사용되는 VAE 모델 | VAE | 예 | - | +| `너비` | 출력 비디오의 가로 픽셀 크기 (기본값: 832, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `높이` | 출력 비디오의 세로 픽셀 크기 (기본값: 480, 단계: 16) | INT | 예 | 16 ~ MAX_RESOLUTION | +| `길이` | 비디오의 프레임 수 (기본값: 81, 단계: 4) | INT | 예 | 1 ~ MAX_RESOLUTION | +| `배치 크기` | 동시에 생성할 비디오 개수 (기본값: 1) | INT | 예 | 1 ~ 4096 | +| `강도` | 비디오 컨디셔닝의 제어 강도 (기본값: 1.0, 단계: 0.01) | FLOAT | 예 | 0.0 ~ 1000.0 | +| `제어 비디오` | 제어 컨디셔닝을 위한 선택적 입력 비디오 | IMAGE | 아니요 | - | +| `제어 마스크` | 비디오에서 수정할 부분을 제어하는 선택적 마스크 | MASK | 아니요 | - | +| `참조 이미지` | 추가 컨디셔닝을 위한 선택적 참조 이미지 | IMAGE | 아니요 | - | + +**참고:** `control_video`가 제공되면 지정된 가로 및 세로 크기에 맞게 업스케일링됩니다. `control_masks`가 제공되면 제어 비디오의 크기와 일치해야 합니다. `reference_image`는 VAE를 통해 인코딩되어 제공될 때 잠재 시퀀스 앞에 추가됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `부정 조건` | 비디오 제어 데이터가 적용된 긍정 컨디셔닝 | CONDITIONING | +| `잠재 비디오` | 비디오 제어 데이터가 적용된 부정 컨디셔닝 | CONDITIONING | +| `잘린 잠재 비디오` | 비디오 생성을 위해 준비된 빈 잠재 텐서 | LATENT | +| `trim_latent` | 참조 이미지 사용 시 제거할 잠재 프레임 수 | INT | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanVaceToVideo/ko.md) + +--- +**Source fingerprint (SHA-256):** `66e50a360dc99ac49cac8f3f1c8649bf4298da2934c1bd9a0bc7cfbec620b291` diff --git a/ko/built-in-nodes/WavespeedFlashVSRNode.mdx b/ko/built-in-nodes/WavespeedFlashVSRNode.mdx new file mode 100644 index 000000000..73c31e1c2 --- /dev/null +++ b/ko/built-in-nodes/WavespeedFlashVSRNode.mdx @@ -0,0 +1,31 @@ +--- +title: "WavespeedFlashVSRNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WavespeedFlashVSRNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WavespeedFlashVSRNode" +icon: "circle" +mode: wide +--- +WavespeedFlashVSRNode는 저해상도 또는 흐릿한 영상의 해상도를 높이고 선명도를 복원하는 빠르고 고품질의 비디오 업스케일러입니다. 비디오 입력을 처리하여 사용자가 선택한 더 높은 해상도의 새 비디오를 출력합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `비디오` | 업스케일할 입력 비디오 파일입니다. MP4 컨테이너 형식이어야 하며, 재생 시간은 5초에서 10분 사이여야 합니다. | VIDEO | 예 | 해당 없음 | +| `목표 해상도` | 업스케일된 출력 비디오의 원하는 해상도입니다. | STRING | 예 | `"720p"`
`"1080p"`
`"2K"`
`"4K"` | + +**입력 제약 조건:** + +* 입력 `video` 파일은 MP4 컨테이너 형식이어야 합니다. +* 입력 `video`의 재생 시간은 5초에서 10분(600초) 사이여야 합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `output` | 선택한 대상 해상도로 업스케일된 비디오 파일입니다. | VIDEO | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `9a495889753ac866177921727228846d8ef9516c54ccd9aa425350b87237c397` diff --git a/ko/built-in-nodes/WavespeedImageUpscaleNode.mdx b/ko/built-in-nodes/WavespeedImageUpscaleNode.mdx new file mode 100644 index 000000000..02150269c --- /dev/null +++ b/ko/built-in-nodes/WavespeedImageUpscaleNode.mdx @@ -0,0 +1,31 @@ +--- +title: "WavespeedImageUpscaleNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WavespeedImageUpscaleNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WavespeedImageUpscaleNode" +icon: "circle" +mode: wide +--- +# WaveSpeed 이미지 업스케일 노드 + +WaveSpeed 이미지 업스케일 노드는 외부 AI 서비스를 사용하여 이미지의 해상도와 품질을 향상시킵니다. 단일 입력 사진을 받아 2K, 4K 또는 8K와 같은 더 높은 목표 해상도로 업스케일하여 더 선명하고 세부적인 결과물을 생성합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `model` | 업스케일에 사용할 AI 모델입니다. "SeedVR2"와 "Ultimate"는 서로 다른 품질과 가격 체계를 제공합니다. | STRING | 예 | `"SeedVR2"`
`"Ultimate"` | +| `image` | 업스케일할 입력 이미지입니다. | IMAGE | 예 | | +| `목표 해상도` | 업스케일된 이미지의 원하는 출력 해상도입니다. | STRING | 예 | `"2K"`
`"4K"`
`"8K"` | + +**참고:** 이 노드는 정확히 하나의 입력 이미지가 필요합니다. 이미지 배치를 제공하면 오류가 발생합니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `image` | 업스케일된 고해상도 출력 이미지입니다. | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/ko.md) + +--- +**Source fingerprint (SHA-256):** `b14056f981f6e34c67d8126391acc11878f92f5f406559afbac803c86da42bcc` diff --git a/ko/built-in-nodes/WebcamCapture.mdx b/ko/built-in-nodes/WebcamCapture.mdx new file mode 100644 index 000000000..151bf643f --- /dev/null +++ b/ko/built-in-nodes/WebcamCapture.mdx @@ -0,0 +1,32 @@ +--- +title: "WebcamCapture - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WebcamCapture node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WebcamCapture" +icon: "circle" +mode: wide +--- +# WebcamCapture 노드 + +WebcamCapture 노드는 웹캠 장치에서 이미지를 캡처하여 ComfyUI 워크플로 내에서 사용할 수 있는 형식으로 변환합니다. 이 노드는 LoadImage 노드를 상속받으며, 캡처 크기와 타이밍을 제어하는 옵션을 제공합니다. 활성화되면 워크플로 큐가 처리될 때마다 새로운 이미지를 캡처할 수 있습니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `이미지` | 이미지를 캡처할 웹캠 입력 소스 | WEBCAM | 예 | - | +| `너비` | 캡처된 이미지의 원하는 너비 (기본값: 0, 웹캠의 기본 해상도 사용) | INT | 예 | 0 ~ MAX_RESOLUTION | +| `높이` | 캡처된 이미지의 원하는 높이 (기본값: 0, 웹캠의 기본 해상도 사용) | INT | 예 | 0 ~ MAX_RESOLUTION | +| `큐에서 캡처` | 활성화되면 워크플로 큐가 처리될 때마다 새 이미지를 캡처합니다 (기본값: True) | BOOLEAN | 예 | - | + +**참고:** `width`와 `height`가 모두 0으로 설정되면 노드는 웹캠의 기본 해상도를 사용합니다. 두 치수 중 하나라도 0이 아닌 값으로 설정하면 캡처된 이미지가 그에 따라 크기가 조정됩니다. + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `IMAGE` | ComfyUI의 이미지 형식으로 변환된 캡처된 웹캠 이미지 | IMAGE | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WebcamCapture/ko.md) + +--- +**Source fingerprint (SHA-256):** `551368150fc293309f917eabaa066f223b1fa1a016ffd3643b57b80c83f812cc` diff --git a/ko/built-in-nodes/ZImageFunControlnet.mdx b/ko/built-in-nodes/ZImageFunControlnet.mdx new file mode 100644 index 000000000..a1fdc3ced --- /dev/null +++ b/ko/built-in-nodes/ZImageFunControlnet.mdx @@ -0,0 +1,37 @@ +--- +title: "ZImageFunControlnet - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ZImageFunControlnet node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ZImageFunControlnet" +icon: "circle" +mode: wide +--- +# ZImageFunControlnet 노드 + +ZImageFunControlnet 노드는 특수화된 제어 네트워크를 적용하여 이미지 생성 또는 편집 과정에 영향을 줍니다. 기본 모델, 모델 패치 및 VAE를 사용하며, 제어 효과의 강도를 조정할 수 있습니다. 이 노드는 기본 이미지, 인페인팅 이미지 및 마스크와 함께 작동하여 보다 정밀한 편집이 가능합니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 생성 과정에 사용되는 기본 모델입니다. | MODEL | 예 | - | +| `모델 패치` | 제어 네트워크의 안내를 적용하는 특수 패치 모델입니다. | MODEL_PATCH | 예 | - | +| `vae` | 이미지 인코딩 및 디코딩에 사용되는 변분 오토인코더입니다. | VAE | 예 | - | +| `강도` | 제어 네트워크 영향의 강도입니다. 양수 값은 효과를 적용하고, 음수 값은 효과를 반전시킬 수 있습니다(기본값: 1.0). | FLOAT | 예 | -10.0 ~ 10.0 | +| `이미지` | 생성 과정을 안내하는 선택적 기본 이미지입니다. | IMAGE | 아니요 | - | +| `인페인트 이미지` | 마스크로 정의된 영역을 인페인팅하는 데 특별히 사용되는 선택적 이미지입니다. | IMAGE | 아니요 | - | +| `mask` | 이미지에서 편집하거나 인페인팅할 영역을 정의하는 선택적 마스크입니다. | MASK | 아니요 | - | + +**참고:** `inpaint_image` 매개변수는 일반적으로 `mask`와 함께 사용되어 인페인팅할 내용을 지정합니다. 제공되는 선택적 입력에 따라 노드의 동작이 달라질 수 있습니다(예: 안내를 위해 `image`만 사용하거나, 인페인팅을 위해 `image`, `mask`, `inpaint_image`를 함께 사용). + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 제어 네트워크 패치가 적용된 모델로, 샘플링 파이프라인에서 사용할 준비가 되었습니다. | MODEL | +| `positive` | 제어 네트워크 입력에 의해 잠재적으로 수정된 긍정 조건입니다. | CONDITIONING | +| `negative` | 제어 네트워크 입력에 의해 잠재적으로 수정된 부정 조건입니다. | CONDITIONING | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ZImageFunControlnet/ko.md) + +--- +**Source fingerprint (SHA-256):** `465f9eb0dd60af23e6cdc2031579e404b4fed021738e592ee6acbb6ee57e83a0` diff --git a/ko/built-in-nodes/overview.mdx b/ko/built-in-nodes/overview.mdx new file mode 100644 index 000000000..2f404506b --- /dev/null +++ b/ko/built-in-nodes/overview.mdx @@ -0,0 +1,16 @@ +--- +title: "ComfyUI 내장 노드" +description: "ComfyUI 내장 노드 소개" +sidebarTitle: "개요" +translationFrom: built-in-nodes/overview.mdx +--- + +내장 노드는 ComfyUI의 기본 노드입니다. 서드파티 커스텀 노드 패키지를 추가로 설치하지 않아도 사용할 수 있는 ComfyUI 핵심 기능입니다. + +## 내장 노드 문서 안내 + +현재 내장 노드 도움말 문서를 제공하고 있으며, 이 섹션의 내용은 [이 저장소](https://github.com/Comfy-Org/embedded-docs)에서 주기적으로 동기화됩니다. 콘텐츠는 현재 매주 한 번 수동으로 업데이트합니다. + +## 기여하기 + +내용에 오류가 있거나 누락된 내용을 보완하고 싶다면 [이 저장소](https://github.com/Comfy-Org/embedded-docs)에 이슈 또는 PR을 제출해 주세요. diff --git a/ko/built-in-nodes/unCLIPCheckpointLoader.mdx b/ko/built-in-nodes/unCLIPCheckpointLoader.mdx new file mode 100644 index 000000000..81f8f4a93 --- /dev/null +++ b/ko/built-in-nodes/unCLIPCheckpointLoader.mdx @@ -0,0 +1,27 @@ +--- +title: "unCLIPCheckpointLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the unCLIPCheckpointLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "unCLIPCheckpointLoader" +icon: "circle" +mode: wide +--- +이 노드는 `ComfyUI/models/checkpoints` 폴더에 있는 모델을 감지하며, extra_model_paths.yaml 파일에 구성된 추가 경로의 모델도 읽어옵니다. 때로는 **ComfyUI 인터페이스를 새로고침**하여 해당 폴더에서 모델 파일을 읽도록 해야 할 수도 있습니다. + +unCLIPCheckpointLoader 노드는 unCLIP 모델에 특화된 체크포인트를 로드하도록 설계되었습니다. 지정된 체크포인트에서 모델, CLIP 비전 모듈 및 VAE를 검색하고 초기화하는 기능을 제공하여, 추가 작업이나 분석을 위한 설정 과정을 간소화합니다. + +## 입력 + +| 필드 | 설명 | Comfy 자료형 | +| --- | --- | --- | +| `체크포인트 파일명` | 로드할 체크포인트의 이름을 지정하며, 미리 정의된 디렉터리에서 올바른 체크포인트 파일을 식별하고 검색하여 모델 및 구성의 초기화를 결정합니다. | `COMBO[STRING]` | + +## 출력 + +| 필드 | 설명 | Comfy 자료형 | Python 자료형 | +| --- | --- | --- | --- | +| `model` | 체크포인트에서 로드된 기본 모델을 나타냅니다. | `MODEL` | `torch.nn.Module` | +| `clip` | 체크포인트에서 로드된 CLIP 모듈을 나타냅니다(사용 가능한 경우). | `CLIP` | `torch.nn.Module` | +| `vae` | 체크포인트에서 로드된 VAE 모듈을 나타냅니다(사용 가능한 경우). | `VAE` | `torch.nn.Module` | +| `clip_vision` | 체크포인트에서 로드된 CLIP 비전 모듈을 나타냅니다(사용 가능한 경우). | `CLIP_VISION` | `torch.nn.Module` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/unCLIPCheckpointLoader/ko.md) diff --git a/ko/built-in-nodes/unCLIPConditioning.mdx b/ko/built-in-nodes/unCLIPConditioning.mdx new file mode 100644 index 000000000..50e40c21b --- /dev/null +++ b/ko/built-in-nodes/unCLIPConditioning.mdx @@ -0,0 +1,25 @@ +--- +title: "unCLIPConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the unCLIPConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "unCLIPConditioning" +icon: "circle" +mode: wide +--- +이 노드는 CLIP 비전 출력을 컨디셔닝 과정에 통합하여, 지정된 강도 및 노이즈 증강 매개변수에 따라 이러한 출력의 영향을 조정합니다. 시각적 맥락으로 컨디셔닝을 풍부하게 하여 생성 과정을 향상시킵니다. + +## 입력 + +| 매개변수 | 설명 | Comfy 자료형 | +| --- | --- | --- | +| `조건` | CLIP 비전 출력이 추가될 기본 컨디셔닝 데이터로, 추가 수정을 위한 기반 역할을 합니다. | `CONDITIONING` | +| `clip_vision 출력` | CLIP 비전 모델의 출력으로, 컨디셔닝에 통합되는 시각적 맥락을 제공합니다. | `CLIP_VISION_OUTPUT` | +| `강도` | 컨디셔닝에 대한 CLIP 비전 출력의 영향 강도를 결정합니다. | `FLOAT` | +| `노이즈 증강` | 컨디셔닝에 통합되기 전에 CLIP 비전 출력에 적용할 노이즈 증강 수준을 지정합니다. | `FLOAT` | + +## 출력 + +| 매개변수 | 설명 | Comfy 자료형 | +| --- | --- | --- | +| `조건` | 강도 및 노이즈 증강이 적용된 CLIP 비전 출력이 통합되어, 더욱 풍부해진 컨디셔닝 데이터입니다. | `CONDITIONING` | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/unCLIPConditioning/ko.md) diff --git a/ko/built-in-nodes/wanBlockSwap.mdx b/ko/built-in-nodes/wanBlockSwap.mdx new file mode 100644 index 000000000..636dff312 --- /dev/null +++ b/ko/built-in-nodes/wanBlockSwap.mdx @@ -0,0 +1,25 @@ +--- +title: "wanBlockSwap - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the wanBlockSwap node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "wanBlockSwap" +icon: "circle" +mode: wide +--- +이 노드는 더 이상 사용되지 않으며 아무 기능도 수행하지 않습니다. 모델을 입력으로 받아 변경 없이 동일한 모델을 반환합니다. "NOP"라는 설명은 아무 작업도 수행하지 않음을 나타냅니다. + +## 입력 + +| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 | +| --- | --- | --- | --- | --- | +| `모델` | 노드를 통과시킬 모델입니다. | MODEL | 예 | | + +## 출력 + +| 출력 이름 | 설명 | 데이터 타입 | +| --- | --- | --- | +| `모델` | 입력으로 제공된 것과 동일한, 변경되지 않은 모델입니다. | MODEL | + +> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/wanBlockSwap/ko.md) + +--- +**Source fingerprint (SHA-256):** `a7ab11efa864c6692b5acc2e75fada19e14a97690b809f02a2da0473a18a5164` diff --git a/ko/changelog/index.mdx b/ko/changelog/index.mdx new file mode 100644 index 000000000..1bf62a786 --- /dev/null +++ b/ko/changelog/index.mdx @@ -0,0 +1,1649 @@ +--- +title: "변경 로그" +description: "ComfyUI의 최신 기능, 개선 사항 및 버그 수정을 추적하세요. 자세한 릴리스 노트는 [Github 릴리스](https://github.com/Comfy-Org/ComfyUI/releases) 페이지를 참조하세요." +icon: "clock-rotate-left" +translationSourceHash: 20ee5837 +translationFrom: changelog/index.mdx +--- + + + +**새로운 오픈소스 모델 지원** +* [**Ideogram 4**](https://github.com/Comfy-Org/ComfyUI/pull/14259): Ideogram의 오픈웨이트 텍스트-이미지 모델에 대한 당일 지원. 텍스트 인코더로 Qwen3-VL-8B(13계층 hidden-state 탭)를 사용하는 NextDiT/Lumina2 계열의 싱글 스트림 DiT를 기반으로 합니다. 새로운 **Ideogram4Scheduler**, **DualModelGuider** (별도 모델에서 조건부/비조건부), **CFGOverride** 노드를 포함합니다. +* [**PiD Models**](https://github.com/Comfy-Org/ComfyUI/pull/14240): PiD 컨디셔닝 노드에 SDXL 및 QwenImage 변형을 추가했습니다. +* [**Radiance**](https://github.com/Comfy-Org/ComfyUI/pull/14206): 0이 아닌 순차적 txt_ids가 있는 체크포인트에 대한 지원을 추가했습니다. + +**파트너 노드 업데이트** +* **Ideogram V4 API Node:** Ideogram V4 클라우드 서비스를 위한 새로운 API 노드 + +**성능 및 안정성** +* **MultiGPU CFG Split:** 수동 중단 작업 중 멈춤 문제를 수정했습니다. +* **Ideogram 4:** 비동적 VRAM 설정을 위한 메모리 사용 요소 최적화 +* **DualModelGuider:** 적절한 사용자 기대치를 설정하기 위해 실험적 기능으로 표시 +* **comfy-aimdo:** 0.4.8로 업데이트 + +**버그 수정** +* BiRefNet 및 DINOv3 모델의 캐스트/dtype 문제를 수정했습니다. +* 이전 오프로딩 모드에서 TripoSplat 미리보기 수정 +* 정확도 향상을 위해 DINOv3 추론이 이제 fp32로 실행됩니다. +* 큰 정수 결과에 대한 Math Expression 노드의 OverflowError 수정 +* 워크플로우 호환성을 유지하기 위해 파트너 노드 카테고리 변경을 되돌렸습니다. +* 오래된 ComfyUI kitchen 폴백 코드 제거 +* 워크플로우 템플릿을 v0.9.94로 업데이트 + + + + + +**새로운 오픈소스 모델 지원** +* [**Microsoft Lens**](https://github.com/Comfy-Org/ComfyUI/pull/14077): Microsoft의 Lens 텍스트-이미지 모델 지원, GPT-OSS-20B MoE 텍스트 인코더(nvfp4로 변환) 포함. 토크나이저는 safetensors 파일에 직접 내장 +* [**NVIDIA PixelDiT & PiD**](https://github.com/Comfy-Org/ComfyUI/pull/14103): NVIDIA의 PixelDiT 1300M 텍스트-이미지 모델과 PiD 모델군(SDXL, QwenImage 변형은 v0.24.0에 추가) 지원 +* [**TripoSplat**](https://github.com/Comfy-Org/ComfyUI/pull/14210): VAST-AI의 이미지-3D 가우시안 스플랫 모델 지원 — 단일 이미지를 DINOv3 + Flux2 VAE로 인코딩 후 flow-matching 디노이저 + 옥트리 가우시안 디코더를 실행해 3D 가우시안 스플랫 생성 +* [**MediaPipe Face Detection**](https://github.com/Comfy-Org/ComfyUI/pull/14009): 의존성 없는 Google MediaPipe 얼굴 감지 및 랜드마크 재구현, 가중치는 safetensors로 배포 + +**새로운 노드** +* [**Save Image Advanced**](https://github.com/Comfy-Org/ComfyUI/pull/13850): 파일 출력을 더 세밀하게 제어하는 고급 이미지 저장 노드 +* [**Gaussian Splat Nodes**](https://github.com/Comfy-Org/ComfyUI/pull/14190): 외부 의존성 없이 3D 가우시안 스플랫을 다루는 새로운 `GAUSSIAN` 타입과 유틸리티 노드 (`.ply`, `.splat`, `.spz`, `.ksplat`로 직렬화) +* [**Logic Nodes**](https://github.com/Comfy-Org/ComfyUI/pull/14004): 새로운 And, Or, Not 유틸리티 노드 (utils 카테고리로 이동) +* [**Preview3DAdvanced**](https://github.com/Comfy-Org/ComfyUI/pull/14175): 고급 3D 미리보기 노드 + +**성능 개선** +* [**멀티스레드 모델 로딩**](https://github.com/Comfy-Org/ComfyUI/pull/13802): 멀티스레드 디스크 로딩을 통한 모델 로딩 시간 대폭 단축; RAM이 제한된 시스템을 위한 디스크 오프로드 기능도 활성화 +* [**멀티GPU 작업 단위**](https://github.com/Comfy-Org/ComfyUI/pull/7063): 컨디셔닝 작업 단위를 여러 GPU에 분할해 샘플링 가속화; 긍정/부정 컨디셔닝과 마스크 컨디셔닝을 작업 단위로 지원 +* **확률적 반올림:** Float 연산에 comfy-kitchen CUDA 확률적 반올림 커널을 사용해 수치 정밀도 향상 +* **XPU 멀티GPU CFG 분할:** Windows에서 활성화 (CFG > 1) +* **--use-flash-attention** 플래그가 xformers와 함께 설치된 경우 올바르게 오버라이드 +* **캐시 RAM:** 더 스마트한 RAM 캐시 제거를 위해 임계값 하향 조정 +* **Anima / ERNIE 속도:** NVIDIA 하드웨어에서 추론 속도 개선; ERNIE에 더 높은 품질의 rope + +**파트너 노드 업데이트** +* **OpenRouter LLM 노드:** OpenRouter 언어 모델 API를 위한 새 파트너 노드 +* **Rodin2.5 노드:** Rodin의 새로운 3D 생성 노드 +* **Krea2 이미지 노드:** Krea의 새로운 이미지 생성 파트너 노드 +* **Beeble SwitchX 노드:** Beeble의 새로운 조명 재설정/배경 교체 노드 +* **Tripo3D P1 모델:** Tripo3D의 P1 생성 모델을 위한 새 노드 +* **Flux 가상 피팅 & 지우기:** 새로운 Flux 기반 가상 피팅 및 객체 지우기 노드 +* **SeeDance 2:** 비디오 참조 업로드 개선; 런타임 입력 검증 추가 +* **ByteDance2Reference:** 자동 업스케일 위젯 추가 +* **Grok Video:** First Frame 모드에 `grok-imagine-video-1.5` 모델 추가; Grok 노드에서 베타 모델 버전 제거 + +**Load3D 개선** +* Load3DCamera 정보 출력에 카메라 내부 파라미터 필드 추가 +* `model_file`이 이제 선택 사항 ("none" 선택지 추가) +* Load3D 노드에 `model_info` 출력 추가 +* Load3DCamera에서 rotation 필드 제거로 API 간소화 +* 새로운 `File3DPLY`, `File3DSPLAT`, `File3DSPZ`, `File3DKSPLAT` IO 타입 +* `SaveImageTextDataSetToFolderNode`: 덮어쓰기/증분 모드 추가 + +**기타 개선 사항** +* 디버깅이 쉬운 컬러 콘솔 로그 +* 프론트엔드 경고 스팸 통합 +* `LTXVCropGuides`: 가이드가 동일한 시작 위치를 공유할 때 잘못된 잠재 프레임 수정 +* LTX AV 크로스 어텐션 AdaLN 변조 내 타임스텝 전달 수정 +* 단일 채널 텐서에서의 Lanczos 차원 전치 수정 +* 배경 제거 마스크 출력 형태 수정 +* LoRA 적용 시 리쉐이핑 수정 +* Stable Audio DiT 및 VAE에 대해 Sage attention 비활성화 +* 내장 문서를 v0.5.2, 워크플로 템플릿을 v0.9.92로 업데이트 +* `pyav` 패키지 업데이트로 이미지 로딩 문제 해결 +* Comfy-kitchen을 0.2.9로 고정 +* 다양한 OpenAPI 스펙 수정 및 클라우드 런타임 정렬 + + + + + +**오픈소스 모델 지원** +* [**Stable Audio 3.0**](https://blog.comfy.org/p/stable-audio-3-day-0-support): 향상된 오디오 생성 기능을 갖춘 최신 Stable Audio 3 모델 지원 +* **MoGe:** 강화된 지오메트리 처리를 위한 MoGe 모델 지원 추가 +* **HiDream-O1:** 보다 정밀한 이미지 생성 제어를 위한 영역 조건부 지원 추가 +* **LTXV 개선사항:** 다운스케일 IC-LoRA 지원 및 선택적 attention_mask 입력 추가로 비디오 제어 개선 +* **시간적 처리:** 비디오 워크플로우에서 더 나은 시간적 제어를 위해 downscale_ratio_temporal 기능 구현 +* **LTX2.3 최적화:** guide_mask 사용 시 피크 VRAM 사용량 감소로 보다 효율적인 비디오 생성 + +**파트너 노드** +* **Seed2.0:** ByteDance의 향상된 언어 모델 기능을 위한 새로운 노드 추가 +* **Opus 4.7:** 더 나은 모델 호환성을 위해 폐기된 온도 파라미터 수정 + +**노드 개선사항** +* **StringFormat 노드:** 워크플로우에서 고급 문자열 조작을 위한 새 노드 추가 +* **오디오 처리:** 시간적 다운스케일 지원으로 오디오 잠재적 노드 개선, 재사용성 향상 +* **배치 노드:** 이미지/마스크/잠재적 배치 노드의 최소 배치 크기를 2에서 1로 줄여 더 유연한 사용 가능 +* **음수 값 지원:** 특정 노드 파라미터에 음수 값을 허용해 창의적 제어 범위 확장 + +**기타** +* **모델 샘플링:** 체인된 model_sampling 패치 간에 noise_scale/shift 유지하여 일관된 결과 제공 +* **텍스트 생성:** Qwen3.5 다중 이미지 프롬프트 처리 개선으로 텍스트 생성 워크플로우 향상 +* **동적 CLIP:** 적절한 동적 CLIP 저장 기능 구현 +* **BiRefNet:** 배경 제거 성능 향상을 위한 호환성 문제 해결 +* **Hunyuan3D 2.1:** 어텐션 및 전방향 연산에서 발생하는 배치 크기 충돌 수정 +* 프론트엔드 버전 경고 시스템 개선으로 더 나은 호환성 확인 +* 애플리케이션 및 클라우드 링크를 포함한 README 개선으로 자원 접근 용이성 증대 +* 보안 문서 및 채용 정보를 프로젝트 자료에 추가 +* FeatherMask의 음수 영점 인덱싱 수정으로 올바른 오른쪽/아래쪽 페더링 구현 +* OOM 메모리 요약 형식 수정으로 더 명확한 에러 보고 +* 배치 처리 문제 해결 및 모델 로딩 안정성 개선 +* 다양한 워크플로우 호환성 문제 및 폐기된 파라미터 처리 개선 + + + + + +**새로운 파트너 노드** +* **Flux2ImageNode 및 GrokImageEditNodeV2:** 이미지 생성 및 편집 워크플로우를 강화하기 위한 새로운 노드 추가 +* **ByteDanceSeedreamNodeV2:** DynamicCombo 및 Autogrow 기능을 갖춘 새 버전으로, 파라미터 처리가 개선되었습니다. +* **OpenAI 이미지 노드:** DynamicCombo 및 Autogrow 기능을 갖춘 새로운 통합 +* **Claude LLM 노드:** 텍스트 생성 워크플로우를 위한 Claude 언어 모델 지원 추가 + +**모델 지원 개선** +* **Anima TE LoRA:** Kohya 형식의 Anima TE LoRA 지원 추가 +* **HiDream-O1-Image:** dtype 수정 및 비동적 VRAM 구성에 대한 메모리 사용량 개선과 함께 HiDream-O1-Image 모델 완벽 지원 + +**기술적 개선** +* 모델 패처에서 fp8 형식의 safetensors 저장 문제 해결 +* LTXV 미디어 중간 프레임 가이드 정렬을 수정하여 동영상 처리 향상 +* RuntimeError 문제를 해결하여 VOID 모델 호환성 개선 +* Save3D 노드를 개선하여 정점 색상 및 텍스처를 지원해 종합적인 3D 워크플로우 지원 가능하게 함 + +**UI 및 문서 업데이트** +* 비디오 생성 워크플로우에 보다 쉽게 접근할 수 있도록 필수 탭에 '비디오 생성' 추가 +* 내장된 문서를 v0.5.0으로 업데이트하고 워크플로우 템플릿을 v0.9.75로 업데이트 +* LoadAudio define_schema에서 입력 디렉토리 생성 문제를 수정하여 오디오 워크플로우 처리 개선 + +**버그 수정** +* 워크플로우 호환성을 유지하기 위해 중단된 변경 사항을 원상 복구 +* Quiver 노드 기능 수정 +* API 명세서에서 더 이상 사용되지 않는 클라우드 런타임 엔드포인트 표시 문제 수정 + + + + + +**오픈소스 모델 지원** +* [**BiRefNet**](https://github.com/Comfy-Org/ComfyUI/pull/12747): 배경 제거 +* [**Gemma4**](https://github.com/Comfy-Org/ComfyUI/pull/13376): LLM 텍스트 생성 +* [**Void**](https://github.com/Comfy-Org/ComfyUI/pull/13403): 패스 1 및 패스 2 모델 지원 + +**파트너 모델 지원** +* [**Tripo 3.1**](https://github.com/Comfy-Org/ComfyUI/pull/13788): 생산 준비 완료 3D 생성 +* **NanoBanana2** 노드 v2: DynamicCombo 및 Autogrow UX 리프레시 + +**노드 개선 사항** +* **수학 표현식:** 보다 복잡한 계산을 위한 부울 지원 추가 +* **Flux2 랜덤 미리보기:** Flux2 모델 랜덤의 고품질 미리보기 지원 +* **코어 블루프린트:** 새로운 내장 블루프린트 템플릿 + +**버그 수정 및 안정성** +* VAEDecodeAudio가 LTX-2.x 생성 오디오 랜덤과의 호환성 문제 수정 +* SolidMask 및 MaskComposite의 장치 불일치 문제 해결 +* 기타 수정 및 개선 사항 (CPU TE 메타텐서 처리, 포트 사용 중 오류, 파일명에 뒤따르는 밑줄 제거 등) + +**추가 모델 및 미디어 업데이트** +* **CogVideoX:** 비디오 생성 모델 +* **Wan-Dancer:** 모델 지원 +* **주요 미디어 로딩:** 비디오 로더에서 오디오/비디오 통합; 이미지용 PyAV가 Pillow 대체(JPEG 메모리, tRNS PNG); 자동 메타데이터 회전 + +**성능 및 비디오 생성** +* 블록 프리페치 및 LoRA 비동기 로딩(특히 LTX에서 더욱 빠름) +* `--cache-ram 2`를 이용한 동적 VRAM 조정 및 비디오 피크 사용량 감소 +* 트라이톤 ComfyUI 주방 CLI 옵션을 통한 고급 최적화 +* 자기회귀 비디오; 인과 모델용 이미지-비디오 변환; 긴 시퀀스용 `causal_window_fix`; 프레임 보간 메모리 및 오버헤드 개선 + +**더 많은 파트너 통합** +* **Luma UNI-1**, **Topaz Astra 2**, **GPT-5.5** / **GPT-5.5-pro** + +**더 나은 노드 수정** +* `--gpu-only`를 이용한 이미지 블렌딩 수정; JoinImageWithAlpha에서 배치 브로드캐스팅; SplitImageToTileList 및 ImageMergeTileList에서 타일 스트라이드 수정 + +**개발자 및 API** +* `--feature-flag` 레지스트리; OpenAPI 클라우드 런타임 및 실험용 엔드포인트; 블루프린트 서브그래프 설명; 결정론적 ControlNet 로드 순서 + + + + + +**새로운 모델 지원** +* **SUPIR:** SUPIR 이미지 초해상도 모델 지원 추가 +* **SAM 3.1:** 고급 이미지 세그먼테이션을 위한 세그먼트 애니씽 모델 3.1 지원 도입 +* **RIFE 및 FILM:** 부드러운 동영상 프레임 생성을 위한 새로운 프레임 보간 모델 +* **LTXV 오디오 VAE:** 개선된 기본 통합 기능을 갖춘 독립형 LTXV 오디오 VAE 모델 지원 + +**파트너 노드 향상** +* **비디오 생성:** ByteDance 2, Veo 모델 및 Kling 노드에 4K 해상도 지원 추가 +* **Veo 3 Lite:** 더 빠른 비디오 생성을 위한 Veo 모델의 새로운 경량 버전 +* **SD2 리얼 휴먼:** 스테이블 디퓨전 2 리얼 휴먼 생성 지원 추가 +* **GPT-Image 2:** 추가 해상도 지원과 고정 가격 배지가 포함된 새 버전 옵션 +* **HappyHorse:** 이미지 생성 능력을 강화한 새로운 모델 통합 + +**성능 최적화** +* 타겟팅된 최적화를 통해 Ernie 모델 추론 속도 향상 +* 더 많은 기본 구현을 통한 LTXV 오디오 VAE 처리 개선 +* ComfyUI 레이어의 더 나은 가중치 처리를 위한 ModelPatcherDynamic 강화 +* 실행 시스템에 안티사이클 검증 추가로 워크플로우 안정성 향상 + +**비디오 처리 개선** +* 더 높은 비트 심도의 비디오를 적절한 색상 정확도로 로드할 수 있는 지원 +* 비디오 로딩 시 알파 채널 지원으로 투명성 워크플로우 가능 +* ByteDance 2 노드의 자동 다운스케일링 기능 추가로 처리 최적화 + +**기술 업데이트** +* 데이터베이스 호환성을 높이기 위해 SQLAlchemy 버전 고정(>=2.0) 수정 +* 디버깅을 더 잘하기 위한 ComfyUI 앱 파일 내 로깅 기능 강화 +* 포괄적인 API 문서를 위한 OpenAPI 3.1 사양 추가 +* 텍스처 크기를 이용한 흐림/선명 효과 처리를 위한 셰이더 처리 개선 + +**UI 및 프론트엔드** +* 다양한 개선 사항을 포함한 ComfyUI 프론트엔드를 버전 1.42.15로 업데이트 +* 미리보기 Any 노드를 강화하여 더 많은 텐서 값을 표시해 디버깅 용이성 향상 +* 범위 타입 지원 추가로 노드 파라미터 처리 개선 + + + + + +**새로운 모델 지원** +* **SUPIR 모델 지원:** 고품질 업스케일링 워크플로우를 위한 향상된 초해상도 기능 추가 +* **RIFE 및 FILM 프레임 보간:** 부드러운 동영상 전환을 위한 고급 프레임 보간 모델 도입 +* **SAM 3.1 지원:** 세그먼트 애니씽 모델을 업데이트하여 세그멘테이션 정확도 개선 +* **LTX 오디오 VAE 개선:** 독립형 LTXV 오디오 VAE 지원으로 기본 오디오 처리 기능 강화 + +**성능 최적화** +* Ernie 추론을 최적화하여 생성 시간 단축 +* 워크플로우 실행 루프를 방지하기 위해 안티사이클 검증 추가 +* 모델 호환성을 높이기 위해 ModelPatcherDynamic의 가중치 처리 개선 + +**동영상 처리 개선** +* 더 높은 비트 심도의 동영상을 로드할 때 품질 보존 기능 강화 +* 동영상 로드 워크플로우에 알파 채널 지원 추가 +* ByteDance 2 노드의 자동 다운스케일링 기능으로 대용량 동영상 파일 처리 가능 + +**파트너 노드 업데이트** +* **Veo 모델:** 4K 해상도 지원 및 Veo 3 Lite 모델 추가 +* **Kling 노드:** 4K 해상도 기능 강화 +* **GPTImage:** gpt-image-2 버전 옵션 및 새로운 해상도 지원 추가 +* **HappyHorse 모델:** 새로운 파트너 모델 통합 +* **SD2 실제 인간 지원:** 사실적인 인간 생성 기능 강화 + +**UI 및 API 개선** +* 더 나은 API 문서화를 위해 OpenAPI 3.1 사양 추가 +* 블러/샤프닝 셰이더에서 텍스처 크기 처리를 수정하여 보다 정확한 효과 구현 +* 모든 노드의 미리보기를 개선하여 디버깅을 위한 더 많은 텐서 값 표시 + +**버그 수정** +* SQLAlchemy 호환성 문제 해결: 버전 ≥2.0 고정 +* Stable_Zero123 cc_projection 가중치의 매개변수 할당 문제 해결 +* LTXV 참조 오디오 노드 기능 수정 +* veo-3.0 모델의 4K 해상도 제한 문제 해결 + + + + + +**LTX 텍스트 생성** +* 텍스트 생성 노드에서 LTX 모델용 `use_default_template` 구현 + +**파트너 노드 업데이트** +* 향상된 벡터 그래픽 기능을 위해 Quiver **arrow-1.1** 및 **arrow-1.1-max** SVG 모델 추가 +* Hunyuan3D 텍스트 및 이미지에서 3D 노드의 "obj" 출력을 선택적 처리로 변경하여 워크플로우 유연성 향상 +* 정확한 API 노드 가격 정보 제공을 위해 StabilityAI 가격 배지 수정 + + + + + +**성능 및 메모리** +- 양자화된 모델의 추론 중 OOM 회귀를 수정하여 _apply() 연산의 메모리 사용량을 개선했습니다. + +**텍스트 생성** +- **LTX:** 텍스트 생성 노드에서 기본 템플릿을 비활성화하는 옵션을 추가하여 보다 유연한 프롬프트 처리를 지원합니다. +- 워크플로우 내 JSON 데이터 조작을 위한 JsonExtractString 노드를 도입했습니다. + +**버그 수정** +- **Ernie 이미지:** 잘못된 클래스 이름을 수정했습니다—`ErnieTEModel` 대신 `ErnieTEModel_`를 사용하세요. + +**파트너 노드** +- SeeDance 2.0 모델에 1080p 해상도 지원을 추가하여 더 높은 품질의 동영상 생성이 가능해졌습니다. + + + + + +**새로운 모델 지원** +* [Erine 이미지 텍스트-to-이미지](https://blog.comfy.org/p/ernie-image-day-0-support) +* LLM: Ministral 모델 + +**파트너 노드** +* [Sonilo: 동영상에 맞는 음악 만들기](https://blog.comfy.org/p/comfyui-now-supports-sonilo-via-partner) + +**기능** +* 텍스트 노드 업데이트로 미리보기: 모든 값의 문자열 변환 지원 + + + + + +**모델 및 생성 지원** +- LTX2 참조 오디오(ID-LoRA) 기능 지원 추가 +- TextGenerate 노드를 위한 향상된 8B 모델 호환성을 갖춘 Qwen3.5 텍스트 생성 모델 구현 +- 개선된 객체 탐지 기능을 제공하는 RT-DETRv4 탐지 모델 지원 추가 +- 중간 dtype 호환성을 갖춘 Ace Step 1.5 XL 모델 지원 도입 +- 소형 flux.2 디코더 지원 추가 및 풀링 출력 없이 Flux 조정 가능하게 설정 +- 확장된 생성 옵션을 위한 Ernie Image 모델 구현 + +**새로운 노드 및 기능** +- 워크플로우에서 고급 곡선 조작을 위한 CURVE 노드 추가 +- 대규모 숫자에 대한 정밀도 처리가 개선된 Number Convert 노드 도입 +- 이미지 분석 기능을 제공하는 Image Histogram 노드 추가 +- 기본값이 0인 Color Adjustment 노드 구현 +- 곡선 입력과 상향된 유니폼 한계를 갖춘 GLSL 셰이더 노드 강화 +- 대화형 UI 요소를 가진 노드에 대해 has_intermediate_output 플래그 추가 + +**메모리 및 성능** +- 모델 RAM 관리를 통한 RAM 캐시 통합으로 효율성 향상 +- 고정 메모리 계산 및 모델 메모리 처리 강화 +- 블러 및 샤프닝 노드의 FP16 중간체와의 호환성 문제 해결 +- ImageUpscaleWithModel에서 중간 장치 작업에 대한 메모리 관리 개선 + +**API 및 파트너 노드** +- 향상된 기능을 갖춘 xAI Grok 노드 업데이트 +- 새로운 Topaz 모델 통합 추가 +- 확장된 워크플로우 기능을 위한 WAN2.7 노드 도입 +- 향상된 동영상 생성을 위한 SeeDance 2.0 노드 추가 +- 개선된 기능을 갖춘 Tencent3D 노드 업데이트 + +**버그 수정 및 안정성** +- training_dtype "none" 및 bfloat16 LoRA 가중치와 함께 발생하는 Train LoRA 크래시 수정 +- LTXAV 모델과의 텍스트 생성 회귀 문제 해결 +- FP8 스케일링 체크포인트 호환성 문제 수정 +- 보안성이 낮은 브라우저에 대한 브라우저 보안 처리 개선 +- 파일 처리를 위해 SVG 파일 MIME 유형 등록 문제 해결 + +**인프라 업데이트** +- 관리자 버전을 4.1로 높여 기능 개선 +- 프론트엔드를 1.42.10 버전으로 업데이트하여 안정성 강화 +- Intel XPU 휴대용 릴리스 지원 추가 +- 워크플로우 템플릿을 0.9.47 버전으로 업데이트 +- 출력 파일을 위한 자산 등록 시스템 강화 + + + + + +**파트너 노드(API)** +- 비디오에 대한 Grok 참조 +- Grok 비디오 확장 +- [블로그](https://blog.comfy.org/p/grok-imagine-model-feature-updates) + + + + +**FP16 지원 수정 사항** +- FP16 정밀도와의 Canny 노드 호환성 문제를 해결하여, 16비트 부동소수점 연산을 사용할 때 워크플로우 문제가 발생하지 않도록 했습니다. +- FP16 중간값으로 인해 생성 결과가 일관되지 않던 샘플링 문제를 해결했습니다. +- FP16 중간값이 예상과 다른 결과를 내는 문제를 수정하여, 실행마다 일정한 출력을 보장했습니다. + +**VAE 개선 사항** +- WAN VAE 처리 시 밝기 및 색상 관련 문제를 수정하여 출력 품질과 색상 정확도를 향상시켰습니다. + + + + + +**메모리 및 성능 최적화** +- 연산 간 중간값에 FP16을 사용하도록 '--fp16-intermediates' 플래그 추가, VRAM 사용량 감소 +- 인플레이스 출력 처리와 청크화된 인코더 구현으로 LTX 및 WAN VAE 모델의 VRAM 사용량 대폭 감소 +- 타일링 디코딩의 최대 메모리 사용량 개선 및 비디오 VAE 타일러 백업 시 VRAM 누수 문제 해결 +- Windows용 RAM 압력 해제 전략 개선, comfy-aimdo 업데이트(0.2.11~0.2.12) 적용 +- '--enable-dynamic-vram' 옵션 추가로 동적 VRAM 관리 강제 활성화 + +**모델 및 하드웨어 지원** +- 향상된 모델 호환성을 위한 mxfp8 정밀도 형식 지원 추가 +- AMD gfx1150(Strix Point) GPU용 PyTorch Attention 활성화 +- FP4, 8, 16 기본 dtype 지원 및 양자화된 선형 자동차분 함수로 훈련 기능 향상 +- 텍스트 인코더 호환성 문제 수정 및 Hunyuan3D v2.1 DiT 모델의 SageAttention 비활성화 + +**노드 및 API 개선** +- Tencent TextToModel 및 ImageToModel API 노드 수정 +- Nano Banana 2 'thought_image' 지원 및 Quiver SVG 노드 추가 +- seedream-3-0-t2i 및 seedance-1-0-lite 모델을 오래된 버전으로 표시 +- slice_cond 및 모델별 컨텍스트 윈도우 조정 기능 추가 +- EmptyLatentImage 및 EmptyImage 노드를 중간 dtype 설정에 맞춰 개선 + +**프론트엔드 및 인프라** +- 프론트엔드 패키지를 1.41.21 버전으로 업데이트, 캐싱 헤더 개선으로 오래된 청크 방지 +- 외부 분산 캐싱 지원을 위한 CacheProvider API 추가 +- 사용자 데이터의 원자적 쓰기 구현으로 충돌 시 데이터 손실 방지 +- 노드 및 블루프린트의 필수 카테고리 지원 강화 +- 워크플로우 템플릿을 0.9.26 버전으로 업데이트 + +**버그 수정 및 안정성** +- 픽셀 공간 VAE 호환성 문제 및 종료 시 모델 파이널라이저 실행 문제 수정 +- Load Diffusion Model 노드에서 가중치 dtype 처리 개선(고급 입력으로 표시) +- 서브클래스화된 모델의 지연 가중치 초기화 강화 +- 드문 특수 상황에서의 다양한 메모리 누수 및 손상 문제 수정 + + + + + +이번 릴리스는 안정성과 버그 수정에 중점을 두었습니다. 자세한 기술적 내용은 GitHub의 [전체 변경 로그](https://github.com/Comfy-Org/ComfyUI/compare/v0.17.1...v0.17.2)를 참조하세요. + + + + + +이번 릴리스는 다양한 버그 수정 및 안정성 개선 사항을 포함한 패치 릴리스입니다. 이번 릴리스에 포함된 변경 사항에 대한 자세한 내용은 v0.17.0과 v0.17.1 간의 전체 변경 로그 비교를 참조하십시오. + + + + + +**아키텍처 및 성능 개선** +- 모듈식 자산 아키텍처를 구현하고 비동기식 이중 단계 스캐너와 백그라운드 시더를 추가하여 로딩 성능을 향상했습니다. +- 더 나은 디버깅과 안정성을 위해 파이썬 오류 핸들러를 추가했습니다. +- KV 캐시 모델의 메모리 사용량 최적화를 강화했습니다. +- AcceleratorError 호환성을 위해 오류 관리 기능을 개선한 동적 VRAM 처리를 향상했습니다. + +**모델 지원 및 개선** +- FluxKVCache 노드를 통해 Flux 2 Klein KV 캐시 모델 지원을 추가했습니다. +- Flux 모델용 정리 함수와 사전 주의 패치를 포함한 모델 패칭 시스템을 개선했습니다. +- Qwen 이미지 모델에 사전 주의 및 입력 후 패치를 추가했습니다. +- 래핑된 모델의 텍스트 인코더 LoRA 로딩 문제를 수정했습니다. +- 다양한 모델에서 batch_size > 1 문제를 해결하여 배치 처리를 개선했습니다. + +**새로운 노드 및 기능** +- 이미지 편집 기능을 강화한 Painter 노드를 추가했습니다. +- 확장된 기능을 제공하는 Reve Image API 노드를 도입했습니다. +- 워크플로우 템플릿을 버전 0.9.21로 업데이트했습니다. +- 그래디언트 스톱 포맷을 개선하여 프론트엔드와의 호환성을 높였습니다. + +**버그 수정 및 안정성** +- 오디오 추출 및 잘림 문제를 수정했습니다. +- 딥 클론 전 편집된 가중치로 인한 모델 탐지 문제를 해결했습니다. +- ComfyUI Manager 설치 지침을 개선하고 버전 4.1b2로 업데이트했습니다. +- 패키지 버전 보고를 강화하여 문제 진단을 용이하게 했습니다. + +**프론트엔드 업데이트** +- 프론트엔드 패키지를 버전 1.41.18로 업데이트하며 다양한 개선 사항과 버그 수정을 적용했습니다. +- comfy-kitchen을 버전 0.2.8로, comfy-aimdo를 버전 0.2.10으로 업데이트했습니다. + + + + + +**새로운 노드 및 기능** +- 워크플로우 내 수학적 연산을 위한 simpleeval 평가를 지원하는 수학 표현식 노드 추가 +- 토폴로지 처리 기능을 강화한 TencentSmartTopology API 노드 도입 +- LLM 노드에 Gemini 3.1 Flash-Lite 모델 지원 추가, AI 언어 모델 옵션 확장 + +**버그 수정 및 성능 개선** +- fp16 오디오 인코더 모델의 호환성 문제 해결 +- 동적 VRAM이 활성화된 경우 텍스트 인코더 CPU 실행 문제 해결 +- 요구 사항 버전 충돌 문제 해결 +- 버퍼 해제 전 계산 스트림 동기화를 통한 메모리 관리 개선 + +**워크플로우 템플릿** +- 최신 개선 사항을 반영한 워크플로우 템플릿을 버전 0.9.11로 업데이트함 + + + + + +**LTX 오디오 모델 개선 사항** +- LTX2 보코더의 conv_transpose1d를 수동 캐스팅으로 수정하여 오디오 처리 안정성을 향상했습니다. +- 오디오 생성 시 더 나은 메모리 관리를 위해 LTX 오디오 VAE의 novram 호환성 문제를 해결했습니다. +- causal_fix 매개변수를 add_keyframe_index 및 append_keyframe 함수에 추가하여 비디오 워크플로우에서 키프레임 처리 정밀도를 높였습니다. + + + + + +**핵심 업데이트** +- AI 모델 운영을 개선하기 위해 comfy-aimdo를 버전 0.2.7로 업데이트했습니다. +- VBAR 캐스터의 CPU 가중치 처리를 강화하여 다양한 하드웨어 구성에서도 더 나은 성능을 제공합니다. + +**워크플로우 템플릿** +- 최신 개선사항과 최적화를 반영해 워크플로우 템플릿을 버전 0.9.10으로 업데이트했습니다. +- 안정성을 높이기 위한 코드 리팩토링 개선사항 적용 + + + + + +**API 노드 업데이트** +- xAI 모델과 가격을 업데이트하여 비용 관리와 모델 선택을 개선했습니다. +- 킹크 3.0 모션 제어를 활성화하여 동영상 생성 기능을 강화했습니다. + +**워크플로우 템플릿** +- 워크플로우 템플릿을 최신 개선사항과 최적화를 반영한 버전 0.9.8로 업데이트했습니다. + + + + + +**새로운 노드 및 기능** +- 화면 비율 사전 설정이 포함된 ResolutionSelector 노드를 추가하여 이미지 치수 설정을 보다 쉽게 할 수 있도록 했습니다. +- 고급 매개변수 제어를 위한 CURVE 유형 지원을 도입했습니다. +- 작업 API에 텍스트 미리보기 지원을 추가하여 워크플로우 모니터링을 더욱 개선했습니다. +- 이미지 처리 기능을 강화한 네이티브 LongCat-Image 구현 + +**모델 및 형식 지원** +- LoKR 호환성을 위해 ACE-Step 1.5 lycoris 키 별칭 매핑을 추가했습니다. +- SDPose-OOD 모델 지원 +- SCAIL WanVideo 모델 지원 +- zeta 크로마 가중치 로딩 지원 +- LTXAV 2.3 모델 지원 +- Z-image 픽셀 공간 지원 구현 + +**메모리 및 성능** +- 동적 VRAM 모드가 이제 기본값으로 설정되어 메모리 효율성이 향상되었습니다. +- QuantizedTensor fp8가 아닌 경우 LoRA 재양자화를 구현했습니다. +- 더 나은 성능을 위해 동적 오프로드 휴리스틱을 개선했습니다. +- 컴포트-아이도를 버전 0.2.6으로 업데이트하고 할당자 처리를 개선했습니다. +- 가중치 후크 및 WSL 호환성과 관련된 동적 VRAM 충돌 문제를 수정했습니다. + +**API 및 UI 개선** +- NanoBanana2 API 노드에 "IMAGE+TEXT" 지원을 추가했습니다. +- Mahiro CFG를 명확성을 위해 Similarity-Adaptive Guidance로 이름을 변경했습니다. +- GLSL 노드 입력 치수 요구사항을 수정했습니다. +- VAEDecodeAudioTiled를 개선하여 tile_size 입력을 올바르게 사용하도록 했습니다. + +**버그 수정** +- feat_map 처리 시 WanVAE 인코더/디코더 혼동 문제를 수정했습니다. +- lm_metadata 누락으로 인한 ACE-1.5 메모리 추정 문제를 해결했습니다. +- 서브스텝 시그마의 컨텍스트 윈도우 단계 처리를 개선했습니다. +- BytesIO에 쓰는 동안 VideoFromComponents 충돌을 방지했습니다. +- 이미지 타일 오버랩을 제한하여 처리 문제를 예방했습니다. + +**워크플로우 템플릿** +- 워크플로우 템플릿을 버전 0.9.7로 업데이트했습니다. + + + + + +**버그 수정 및 안정성** +- 프롬프트 항목에 class_type 키가 없을 때 발생하는 KeyError를 수정하여 워크플로우 충돌 방지 +- pyopengl, accelerate, numpy 텍스처와의 GLSL 노드 호환성 문제 해결 +- LTXAV 텍스트 인코더의 최소 길이 및 메모리 추정 문제 수정 +- torch 컴파일러 사용 시 동적 VRAM 비활성화로 충돌 예방 + +**모델 및 API 업데이트** +- 향상된 백업 처리 기능을 갖춘 comfy aimdo를 버전 0.2.2로 업데이트 +- WanVideo 기반 세분화 모델 FlowRVS 지원 추가로 고급 영상 처리 가능 +- 확장된 기능을 제공하는 NanoBanana2 API 노드 추가 +- Aimdo 백업 처리를 수정하여 제로 복사 SFT 문제 방지 + +**UI 및 프론트엔드** +- 프론트엔드를 버전 1.39.19로 패치하여 API 노드의 진행률 텍스트 직렬화 문제 해결 +- essentials_category를 올바른 대체 노드로 이동하여 더 나은 구성 제공 + +**새로운 기능** +- 자기 주도적 주의 강도 조절 기능을 가이드별로 추가하여 세밀한 워크플로우 제어 가능 +- 워크플로우 템플릿을 버전 0.9.4로 업데이트 + + + + + +**새로운 노드 및 기능** +- 이미지 워크플로우에서 정밀한 바운딩 박스 선택을 위한 BBox 위젯 추가 +- 오디오 처리 워크플로우를 위한 3밴드 이퀄라이저 노드 도입 +- 기본 텍스트 생성 지원을 내장 모델과 함께 추가, 초기 지원 모델은 Gemma3와 Qwen 3임 +- 고급 시각 효과를 위해 PyOpenGL을 사용하는 새로운 GLSL 셰이더 노드 +- 텍스트 음성 변환 기능을 위한 ElevenLabs API 노드 추가 +- FLOAT 입력에 대한 새로운 그라디언트 슬라이더 표시 모드 및 개선된 UI 제공 +- 타일 처리 워크플로우를 위한 SplitImageToTileList 및 ImageMergeTileList 노드 추가 + +**API 노드** +- Rodin Gen-2 노드에 가격 배지 추가 +- 아바타 생성을 위한 KlingAvatar 노드 추가 +- ByteDance Seedream-5 모델 지원 추가 +- 글로브 매칭을 통한 Gemini 이미지 MIME 유형 처리 문제 수정 +- Gemini가 더 나은 품질의 압축 해제 이미지를 반환하도록 강제함 + +**성능 및 버그 수정** +- requants 반환 제한으로 인해 FP8 동적 VRAM 워크플로우 성능 문제 해결 +- 비디오 저장 작업 중 비연속 오디오 파형 충돌 문제 해결 +- LTXAV 모델 로딩 문제 해결, fp8 체크포인트 지원 및 임베딩 커넥터 dtype 문제 포함 +- PyOpenGL 버전 < 3.1.4에 대한 호환성 개선 + +**UI 개선** +- 429개 위젯을 접을 수 있는 고급 UI로 표시 +- 노드의 더 나은 구성 위해 essentials_category 추가 +- 개선된 분류를 통해 필수 하위 그래프 블루프린트 강화 +- 프론트엔드를 버전 1.39.16으로 업데이트 + +**모델 지원** +- 토큰화 개선 및 최소 길이 강제를 통해 텍스트 생성 향상 +- LTXAV av 임베딩 커넥터 통합 업데이트 +- 마이그레이션 기간 동안 LTX 2.0 워크플로우에 대한 일시적 호환성 수정 + + + + + +**버그 수정** +- 가끔 빈 이미지를 반환하던 Gemini/Nano 바나나 API 노드의 문제를 수정하여, AI 기반 이미지 생성 워크플로우의 안정성을 향상시켰습니다. + + + + +**버그 수정** +- 수동 캐스팅 시 애니마 LLM 어댑터 전방향 수정 + +**새로운 모델 지원** +- API 노드에 'viduq3-turbo' 모델 지원 추가 +- 향상된 크리에이티브 워크플로우를 위한 Recraft V4 노드 추가 + +**업데이트** +- 워크플로우 템플릿을 v0.8.43으로 업데이트함 + + + + + + +**모델 지원** +- 양자화된 가중치를 사용한 Gemma 12B 지원 추가 +- 장치 선택 지원 및 VRAM 사용량 감소로 향상된 LTXAV 텍스트 인코더 +- LTXAV 텍스트 인코더의 메모리 추정치 개선 + +**성능 개선** +- FP8MM 오프로딩 성능 문제 수정 +- 오래된 PyTorch 버전에 대한 경고 추가 및 cu130으로 업그레이드 권장으로 성능 향상 +- 컴피 키친 버전 요구사항 업데이트 + +**버그 수정** +- 안정적인 릴리스 워크플로우를 수정하여 최신 컴피 키친 업데이트를 올바르게 가져오도록 함 +- 모델 패처에서 혼란스러운 로드 통계 제거 +- 워크플로우 템플릿을 v0.7.69로 업데이트함 + + + + + +**새로운 모델 지원** +- LTXV 2 모델 지원 추가 +- NVFP4 체크포인트 지원 추가 (fp4 행렬 곱셈) +- CLI 인수를 통한 Sage Attention 3 지원 추가 + +**API 개선 사항** +- V3 API: DynamicCombo 및 Autogrow 기능 노출 +- API 노드: Kling Omni 720p 해상도 지원, WAN2.6 ReferenceToVideo +- Tripo3D: face_limit 파라미터 처리 최적화 +- Vidu API 서명된 URL의 URL 인코딩 보존 문제 해결 + +**버그 수정** +- 업스케일 모델 CPU 오프로딩 문제 해결 +- LTXV2 텍스트 인코더 lowvram 호환성 문제 해결 +- fp8 처리 관련 문제 해결 +- MPO 형식 이미지에서 첫 프레임만 사용하도록 수정 +- PyTorch 버전에 따른 조건부 comfy-kitchen CUDA 지원 + +**기타** +- 디버깅을 위한 OOM 메모리 요약 추가 +- Mahiro CFG 표시 이름 업데이트 +- 워크플로우 템플릿 v0.7.67로 업데이트 +- 코드 리팩토링 및 정리 (CLIP 전처리, comfy-kitchen 통합) + + + +**시스템 요구사항** +- PyTorch 2.4+ 최소 버전 필요 + +**수정 및 개선 사항** +- 기본적으로 AMD GPU에서 비동기 메모리 오프로드 활성화 +- CPU 추론 시 조상 샘플러 노이즈 문제 해결 +- 메모리 관리 오류 처리 개선(핀/언핀 작업) +- 컨텍스트 윈도우에 VACE 컨텍스트 처리 추가 + +**업데이트 사항** +- ComfyUI 프론트엔드 v1.35.9로 업데이트 +- ComfyUI 매니저 v4.0.4로 업데이트 +- 워크플로우 템플릿 v0.7.64로 업데이트 + +**새로운 노드** +- 샘플링 제어를 위한 ManualSigmas 노드 추가 +- Kling 모션 제어 노드 추가 +- ResizeByLongerSide가 이제 동영상 처리를 지원함 + +**API 노드** +- Gemini API: 프롬프트 향상 강제 활성화 +- 청구 방식을 달러에서 크레딧으로 변경 +- "seededit"는 더 이상 사용되지 않으며, Seedream 노드의 표시 이름을 업데이트함 + +**기술적 사항** +- 이미지 처리 노드를 V3 스키마로 변환 +- Lumina/Z 이미지 모델 최적화(사용되지 않는 구성 요소 제거) + + + + +**새로운 모델 지원** +- Qwen 이미지 레이어드 +- NewBie 이미지 Exp0.1 + +**새로운 기능** +- 워크플로우 모니터링을 위한 /api/jobs 엔드포인트를 포함한 통합 작업 API + +**개선 사항** +- API 노드에서 기본적으로 워터마크 생성 비활성화 +- 더 나은 훈련 효율성을 위해 해상도 버킷팅을 적용한 트레이너 재작업 +- 향상된 AMD GPU 지원 +- Kling O1 StartEndFrame 노드의 지속 시간 범위 확장 +- Topaz 4k 영상 업스케일링 기능 업데이트 + +**버그 수정** +- --gpu-only 모드에서 ZImageFunControlNet의 마스크 연결 문제 해결 + + + + + +- GPT-Image-1.5 API 노드 추가 +- V3 노드 처리 회귀 문제 수정 +- SA-Solver 정확도 개선 + + + + + +**새로운 모델 및 기능** +- 고급 모션 처리를 위한 WanMove 모델 +- 자동 감지 기능이 포함된 Qwen Edit 2511 +- 인페인팅 기능이 추가된 Z-Image Fun Control Union 2.0 + +**API 노드** +- Kling Omni Image, TextToVideoWithAudio, ImageToVideoWithAudio +- Wan2.6 모델 통합 +- 3D 모델 생성을 위한 Tripo3.0 + +**성능** +- Z-Image 및 SD3 모델의 메모리 추정치 개선 +- Qwen-Image VAE의 GPU 메모리 관리 향상 +- 프론트엔드를 v1.34.9로 업데이트 + + + + + +**모델 지원** +- Ovis 이미지 +- Kandinsky 5.0 (T2V/I2V/T2I 변형) +- Z-Image Alibaba PAI-Fun ControlNet 지원 +- 개선된 Z-Image FP16 호환성 +- CORS 헤더에 PATCH 메서드 및 크로마-라디언스-x0 모드 추가 + +**워크플로우 및 개선 사항** +- 컨텍스트 윈도우 수정 및 시간적 처리 강화 +- Kling API @image 참조 형식 +- ComfyUI-Manager pip 설치 지원 + +**프론트엔드 개선 사항** +- 프론트엔드 로드/시작 시간 대폭 개선 +- 사이드바에 설정 버튼 복구 +- GPU 가속 마스크 에디터 렌더링 +- 자산 카드 및 큐 진행률 패널 디자인 개선 +- 누락된 노드 경고 UI를 큐 버튼 및 브레드크럼에 추가 +- 모바일 관련 수정사항 +- 다양한 버그 수정 + +**주요 VRAM 최적화** +- 시간적 롤링 VAE로 동영상 모델(VL, Hunyuan/Kandinsky)의 VRAM 대폭 절감 +- LoRA 메모리 예약 감소, 특히 Flux2 워크플로우에서 큰 효과 +- 개선된 디퀀타이즈 오프로드 계산으로 Flux2 OOM 오류 해결 +- FP16 처리로 LoRA 연산 속도 향상 +- 불필요한 CPU 후퇴를 방지하기 위해 텍스트 인코더의 GPU 사용량 최적화 + +**V3 스키마 마이그레이션** +- 3D, 오디오, 프리런치, 마스크 노드를 V3 스키마로 변환 +- MatchType, DynamicCombo, Autogrow 지원 추가로 워크플로우 유연성 향상 + +**버그 수정 및 호환성** +- GPU에 직접 로드 시 텍스트 인코더 회귀 문제 해결 +- Lumina 모델에서 transformer_options 클리어링 문제 해결 +- Qwen 이미지 LoRA 학습, HunyuanVideo 1.5 meanflow distil 문제 해결 +- EmptyAudio 노드 입력 유형을 정확히 조정해 오디오 워크플로우 통합 개선 +- 원치 않는 전체 오프로딩을 방지하기 위해 VRAM 계산 정확도 개선 +- Z-Image 워크플로우에서 "transformer." LoRA 접두사 지원 +- 혼합 양자화 작업과의 scaled FP8 형식 호환성 개선 + +**참고: 데스크톱 사용자용** +- 자동 업데이트를 비활성화하지 않았다면 최신 데스크톱 버전이 출시될 때까지 기다려 주세요. 자동으로 최신 버전으로 업데이트됩니다. +- 데스크톱을 사용하고 **자동 업데이트를 비활성화한 경우**, 이번에는 데스크톱이 최신 버전으로 자동 업데이트되지 않을 수 있습니다. +- 최신 기능을 이용하려면 [여기](https://www.comfy.org/download)에서 최신 데스크톱 버전을 다운로드해 주세요. + + + + +**프론트엔드 UI/UX** +- 새로운 UI: **Nodes 2.0** 공개 베타 버전 +- 리니어 모드 베타 버전 (키바인딩에서 핫키를 설정하여 활성화할 수 있습니다.) +- 서브그래프 개선 및 버그 수정 +- 누락된 노드의 UX 개선 +- 새로운 워크플로우 진행 상태 패널 +- 새로운 자산 사이드바 + +**3D 기능** +- 3D 노드에서 파노라마 이미지 지원 +- 3D 애니메이션 노드를 3D 노드에 통합 + +**LoRA 트레이너** +- ComfyUI 기본 LoRA 트레이너의 다중 해상도 지원 +- Z-Image LoRA 트레이닝 지원 + +**성능 및 모델 지원** +- 비디오용 타이니 VAE 지원 +- z-image LoRA 형식 지원 +- NVIDIA에서 기본적으로 비동기 오프로딩 활성화 + +**파트너 노드** +- Veo3 첫 번째와 마지막 프레임 노드 +- Kling FirstLastFrame 노드에 Kling v2.5 터보 추가 +- Kling O1 모델 지원 + + + + + +**새로운 모델 지원** +- 이미지 처리 워크플로우를 위해 최적화된 성능을 제공하는 Z 이미지 모델 추가 + +**버그 수정** +- FP8 정밀도가 혼합된 모델과 함께 사용되는 LoRA 기능 수정 +- VRAM 오류를 줄이기 위해 Flux2 참조 이미지 메모리 추정치 개선 + + + + + +**버그 수정** +- 워크플로 실행을 중단시킬 수 있었던 심각한 시스템 충돌을 수정했습니다. +- 더 나은 성능을 위해 Flux 2 텍스트 인코더의 VRAM 사용량을 최적화했습니다. + + + + + +**새로운 모델 지원** +- Flux 2 Pro API 노드를 포함한 포괄적인 Flux 2 모델 지원 추가 +- 새로운 변형과 향상된 표시 이름으로 HunyuanVideo 워크플로우 강화 + +**API 및 보안 개선** +- 콘텐츠 보안 정책 헤더를 통해 API 보안 개선 +- 공개 API 접근 문제와 Gemini 모델 지원 수정 + +**비디오 처리** +- 더 나은 비디오 워크플로우 제어를 위해 `get_frame_count` 및 `get_frame_rate` 메서드 추가 + +**성능 최적화** +- 하드웨어 인식 감지 기반으로 텍스트 인코더 양자화 최적화 +- 더 나은 메모리 관리를 통한 양자화 지원 강화 + +**개발자 도구** +- Chroma, Qwen-Image, HunyuanVideo 모델에 대한 BlockInfo 지원 추가 + +**프론트엔드 및 종속성** +- 프론트엔드를 v1.30.6으로 업데이트 +- Transformers 버전을 높임 + + + + + +**모델 호환성 및 향상** +- **HunyuanVideo 1.5 지원**: 최신 버전의 HunyuanVideo 모델과의 호환성을 추가하여 동영상 생성 기능을 확장했습니다. +- **LLAMA 텍스트 인코더 개선**: LLAMA 기반 텍스트 인코더 모델에서 최종 정규화를 비활성화할 수 있는 기능을 추가하여 워크플로우 맞춤화를 더욱 향상시켰습니다. +- **HunyuanV3D 스키마 마이그레이션**: 성능과 호환성을 개선하기 위해 Hunyuan3D 노드를 V3 스키마로 업데이트했습니다. + +**API 노드 확장** +- **새로운 Topaz API 노드**: ComfyUI 내부에서 직접 Topaz 동영상 향상 워크플로우를 지원하도록 추가되었습니다. +- **Nano Banana Pro 통합**: 처리 능력을 강화한 Nano Banana Pro를 포함해 API 노드 컬렉션을 확장했습니다. +- **Kling Lip Sync 개선**: KlingLipSyncAudioToVideoNode에서 오디오 형식 변환 문제를 수정하여 MP3 형식 처리가 올바르게 이루어지도록 했습니다. + +**이미지 처리 및 워크플로우 개선** +- **향상된 이미지 배치 처리**: ImageBatch 노드를 수정하여 채널 수가 다른 이미지를 처리하고, 필요 시 자동으로 알파 채널을 추가하도록 개선했습니다. +- **미리보기 노드 개선**: 미리보기 노드를 "텍스트로 미리보기"로 이름 변경하여 워크플로우 구성이 보다 명확해졌습니다. +- **워크플로우 템플릿 업데이트**: 서버 템플릿 핸들러를 개선하여 다중 패키지 배포를 지원함으로써 워크플로우 관리를 더욱 향상시켰습니다. + +**성능 및 시스템 최적화** +- **CUDA 최적화**: 최신 CUDNN 버전에서 불필요한 우회 조치를 비활성화하여 GPU 성능을 개선했습니다. +- 워크플로우 명명 문제를 해결하고 복잡한 처리 파이프라인의 전반적인 안정성을 향상시켰습니다. + + + + + +**CUDA 12.6 지원 및 배포** +- 공식 CUDA 12.6 릴리스 워크플로우 추가 및 휴대용 다운로드 지원을 통해 GPU 호환성을 강화했습니다. +- 간소화된 설치를 위해 수정된 휴대용 다운로드 링크를 README에 업데이트했습니다. + +**모델 호환성 및 수정 사항** +- **HunYuan 3D 2.0 지원**: 개선된 3D 모델 생성 워크플로우를 위한 호환성 문제를 해결했습니다. +- **EasyCache 개선**: 특정 모델 구성에 영향을 미쳤던 입출력 채널 불일치를 해결했습니다. +- 잠재적으로 유해한 기본 제공 맞춤형 노드 구현을 제거하여 블록 스왑 기능을 강화했습니다. + +**API 노드 개선 사항** +- **새로운 Gemini 모델 추가**: 텍스트 및 멀티모달 생성 워크플로우를 위한 AI 모델 옵션을 확장했습니다. +- 업데이트된 PR 템플릿과 Python 3.10 최소 버전 요구사항을 포함한 API 노드 개발 인프라를 개선했습니다. + +**개발 및 인프라** +- 맞춤형 노드 개발 시 코드 품질을 높이기 위해 pylint 구성 강화했습니다. +- 보다 안정적인 업데이트를 위해 릴리스 자동화 및 배포 프로세스를 개선했습니다. + + + + + +**메모리 및 성능 최적화** +- NVIDIA 및 AMD GPU용 **기본적으로 고정된 메모리 활성화** +- Flux, Qwen, LTX-Video 모델의 **VRAM 사용량 감소** +- VRAM 사용량 증가 시 자동으로 메모리를 해제하는 스마트 모델 언로드 기능 +- 오프로드 스트림에서 개선된 가중치 캐스팅 성능 + +**새로운 기능** +- **ScaleROPE 노드 이제 Flux 모델과 호환 가능** +- 토큰라이저에 좌측 패딩 지원 추가 +- `/history` 및 `/queue` 엔드포인트에 `create_time` 필드 추가 + +**버그 수정** +- SingleStreamBlock/DoubleStreamBlock의 맞춤형 노드 가져오기 오류 수정(임시 해결) +- Qwen ControlNet 회귀 문제 수정 +- 오프로드 지원 및 안정성 개선을 통한 양자화된 연산 강화 +- 모든 모델 간 RoPE 함수 구현 통합 + + + + + +**성능 및 메모리 최적화** +- 최적화된 모델 로딩을 위한 **혼합 정밀도 양자화 시스템** 도입 +- 리소스 제약 하에서 지능적인 메모리 관리를 위한 **RAM 압력 캐시 모드** 추가 +- 고정 메모리를 사용한 모델 오프로딩 속도 향상 및 자동 저 RAM 하드웨어 감지 기능 추가 +- FP8 연산 개선: 메모리 사용량 절감 및 torch.compile 성능 회귀 문제 해결 +- 비동기 오프로딩 속도 향상 및 레이스 컨디션 해결 + +**새로운 노드 및 실행 기능** +- **ScaleROPE 노드**: WAN 및 Lumina 모델용 로프 스케일링 지원 +- 단일 워크플로우 내에서 다중 실행을 가능하게 한 서브그래프 실행 강화 +- 바이트 데이터와 None 출력을 적절히 처리하는 캐싱 시스템 개선 + +**API 노드 개선사항** +- API 노드를 V3 클라이언트 아키텍처로 이전: Luma, Minimax, Pixverse, Ideogram, StabilityAI, Pika, Recraft, Hypernetwork, OpenAI +- LTXV API 노드에 12초~20초 길이 옵션 추가 +- DALL-E 2 노드의 img2img 작업 수정 +- Rodin3D 노드를 개선하여 적절한 상대 경로 반환 + +**업데이트 사항** +- 포함된 문서를 v0.3.1로 업데이트 +- 워크플로우 템플릿을 v0.2.11로 업데이트 +- Windows 고정 메모리 할당 문제 수정 + + + + + +**API 노드** +- **LTXV API 통합**: Lightricks LTX 동영상 생성을 위한 새로운 LTXV API 노드 추가 +- 비동기 작업 및 취소 지원 기능이 포함된 네트워크 클라이언트 V2 업그레이드 +- Tripo 및 Gemini API 노드를 V3 스키마로 변환 + +**성능 및 호환성** +- 최신 AMD GPU에서만 cudnn 비활성화하여 AMD GPU 지원 개선 +- API 노드의 Windows 특정 네트워크 문제를 수정해 더 나은 재시도 처리 가능하게 함 + +**핵심 개선 사항** +- 종속성 인식 캐싱 시스템 강화로 루프와 함께 --cache-none 동작 해결 +- 다차원 잠재 변수 지원 추가 +- 맞춤형 노드 게시 서브그래프 엔드포인트 추가 + +**업데이트 사항** +- 프론트엔드 버전 1.28.8로 업그레이드 +- 템플릿 업데이트 버전 0.2.4로 진행 + + + + + +**프론트엔드 업데이트** +- **서브그래프 위젯 편집**: 서브그래프에 진입하지 않고도 새로운 매개변수 패널에서 바로 서브그래프 매개변수를 편집할 수 있습니다. +- **템플릿 모달 재설계**: 모델 태그와 카테고리를 기반으로 한 고급 필터링 기능을 갖춘 새로운 템플릿 브라우저 + +**성능 최적화** +- 워크플로우 취소 속도 개선 +- NVIDIA GPU와 PyTorch 2.9에서 VAE 메모리 사용량이 3배나 증가하는 문제 수정 +- 크로마 레디언스 처리 속도 향상 및 1 이상의 배치 크기 문제 해결 + +**API 노드** +- Veo 3.1 모델 지원 추가 +- 비디오 워크플로우에서 고급 시간적 제어를 위한 TemporalScoreRescaling 노드 추가 + +**하드웨어 및 호환성** +- AMD gfx942 GPU용 FP8 연산 비활성화 +- --fast 오토튜닝 모드에서 CUDA 메모리 관리 개선 + +**실행 및 스키마** +- ControlNet 노드를 V3 스키마로 변환 +- EasyCache를 적절한 batch_slice 처리 방식으로 개선 +- merge_nested_dicts 기능을 입력 순서에 맞게 개선 +- 사용되지 않는 파일에 대한 폐기 경고 추가 + + + + +**노드 스키마 마이그레이션 (V3)** +- 모델 다운스케일링, LoRA 추출, 합성, 랜덤 오퍼레이션, SD3/SLG, Flux, 업스케일 모델, HunyuanVideo 노드를 포함한 핵심 노드 카테고리를 V3 스키마로 마이그레이션했습니다. + +**오디오 및 모델 개선사항** +- 고음질 오디오 워크플로우를 위한 MMaudio 16K VAE 지원 추가 +- 모노 오디오가 잘못되어 스테레오로 저장되는 문제 수정 +- 모델 샘플링 시그마 코드 재작성 및 FP8 스케일링된 LoRA 문제 해결 +- 이전 버전의 Stable Diffusion 체크포인트를 최신 NumPy 버전에서 로드하는 문제 수정 + +**AMD GPU 최적화** +- SD/Flux VAE 연산에 대한 메모리 추정 개선 +- ROCm 7.0+에서 RDNA4 PyTorch 어텐션 활성화 + +**API 노드 업데이트** +- 가격 추출기 추가 및 Kling/Pika API 노드 개선 +- aspect_ratio 지원을 추가한 Gemini 이미지 API 강화 + +**업데이트 사항** +- 템플릿 v0.1.95, 노드 문서 v0.3.0 +- WAN2.2 캐시 VRAM 누수 문제 수정 + + + + + +**API 노드** +- OpenAI의 비디오 생성 API용 Sora2 API 노드 추가 + + + + + +**모델 호환성 향상** +- **HunyuanVAE 지원**: 새로운 HunyuanVAE 지원을 추가하여 고급 이미지 생성 워크플로우의 모델 호환성을 확장했습니다. +- **에피소드 스케일링 노드**: 예측된 노이즈를 스케일링하여 확산 모델의 노출 편향을 줄이는 새로운 에피소드 스케일링 노드를 도입했으며, 이는 논문 [확산 모델의 노출 편향 규명](https://arxiv.org/abs/2308.15321)에 기반합니다. + +**메모리 및 성능 최적화** +- **VAE 메모리 누수 수정**: VAE OOM 예외 처리 중 파이썬 콜 스택이 텐서 참조를 보유하면서 발생하던 VRAM 누수를 해결하여, 낮은 VRAM 장치에서 타일링 백업의 안정성을 크게 개선했습니다. +- **AMD 지원**: 기본적으로 TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL을 활성화했습니다. + +**API 노드 업데이트** +- **클링 2.5 터보**: txt2video 및 img2video 노드 모두에서 kling-2-5-turbo 지원을 추가하고, 적절한 모드 설정을 수정했습니다. +- **API 노드 수정사항**: Gemini 노드의 base64 처리를 개선하고, Recraft API 노드 함수의 들여쓰기 문제를 수정했습니다. + +**노드 스키마 마이그레이션(V3)** +- **광범위한 V3 변환**: 오디오 인코더, GITS, 차분 확산, 최적 단계, PAG, LT, IP2P, 형태학, torch 컴파일, EPS, Pixverse, TomeSD, 편집 모델, Rodin, Stable3D 노드 등 수많은 노드 카테고리를 V3 스키마로 이전하여 워크플로우의 호환성을 높였습니다. + +**개발자 경험 개선** +- **코드 품질**: comfy_api_nodes 폴더에 pylint 지원을 추가하고 example_node.py를 V3 스키마로 업데이트하여 맞춤형 노드 개발을 더욱 일관되게 만들었습니다. +- **문서 업데이트**: Windows 사용자를 위한 야간 PyTorch 명령어를 포함한 AMD 설치 지침을 강화했습니다. + +**프론트엔드 업데이트** +- **서브그래프 게시**: 서브그래프를 노드 라이브러리에 게시할 수 있도록 지원합니다. +- **노드 선택 도구 상자 재설계**: 노드 선택 도구 상자를 새롭게 디자인했습니다. + + + + +**API 노드** +- **Rodin3D-Gen2 매개변수 수정** +- **Seedance Pro 모델 지원** + + + + +**API 노드** +- **Rodin3D Gen-2**: Rodin의 가장 강력한 이미지-to-3D 도구가 이제 ComfyUI에서 바로 사용 가능합니다! +- **WAN 이미지 투 이미지**: Wan2.5 이미지 투 이미지 API 노드로, 이미지 편집을 지원합니다. + +**향상된 오디오 기능** +- **새로운 오디오 노드**: 오디오 기반 워크플로우와 멀티모달 콘텐츠 제작을 강화하기 위한 새로운 오디오 노드 추가 + +**모델 호환성 수정 사항** +- **Qwen2.5VL 템플릿 처리**: 프롬프트에 이미 템플릿이 존재하는 경우 Qwen2.5VL 모델의 템플릿 관리를 개선했습니다. +- **HuMo 뷰 작업**: HuMo 모델에서 .view() 작업 문제를 수정하여 보다 안정적인 비디오 생성을 지원합니다. + +**메모리 및 성능 최적화** +- **메모리 누수 수정**: 모델 최종화자를 명시적으로 분리하여 메모리 누수를 해결함으로써 장시간 실행 워크플로우의 안정성을 향상시켰습니다. +- **샘플러 CFG 개선**: 샘플러 CFG 함수 인자에 'input_cond' 및 'input_uncond' 매개변수를 추가해 보다 유연한 조건부 제어를 가능하게 했습니다. + + + + + +**새로운 모델 지원** +- **Wan2.2 애니메이트**: 캐릭터 교체 및 모션 전송 기능을 갖춘 Wan2.2 애니메이트 영상 생성 모델 지원 +- **Qwen 이미지 편집 2509 지원**: 다중 이미지 편집, 더 높은 일관성, 기본 ControlNet 지원을 갖춘 업데이트된 Qwen 이미지 편집 2509 지원 +- **HuMo 모델**: 오디오를 사용해 영상 생성을 제어하면서 입술 동기화를 유지하는 1.7B 및 17B HuMo 모델 모두 지원 추가 +- **Chroma Radiance**: 픽셀 공간에서 이미지 생성을 수행하는 모델로, 이미지 생성 과정 중 손실을 줄여줍니다 +- **Omnigen2 UMO LoRA**: Omnigen2 UMO LoRA 모델 지원 추가 + +**API 노드 추가** +- **Kling v2.1 지원**: KlingStartEndFrame 노드에 kling-v2-1 모델 추가 +- **Seedream4 수정사항**: 부분 성공 시 오류를 무시하는 플래그를 수정하여 워크플로우를 더욱 안정적으로 만들었습니다 + +**노드 스키마 마이그레이션(V3)** +- **핵심 노드 업데이트**: Minimax API, Cosmos, 컨디셔닝, CFG, Canny 노드 등 여러 노드 카테고리를 V3 스키마로 마이그레이션했습니다 + +**성능 및 기술적 개선** +- **FP8 연산**: gfx1200 하드웨어에서 기본적으로 FP8 연산을 활성화하여 처리 속도를 높였습니다 +- **LoRA 트레이너 수정사항**: LoRA 트레이닝 워크플로우에서 FP8 모델 호환성 관련 버그를 해결했습니다 + +**프론트엔드 업데이트** +- **프론트엔드 버전 업데이트**: 버전 1.26.13으로 업데이트되었습니다 + + + + + +**ByteDance Seedream 4.0 통합** +- **새로운 Seedream 노드**: ByteDanceSeedream (4.0) 노드를 추가했습니다. + + + + + +**새로운 모델 지원** +- 훈원 이미지 2.1 일반 모델 +- 훈원 3D 2.1 + +**새로운 API 노드** +- 스테이블 오디오 2.5 API +- 시던스 비디오 API + + + + +**ByteDance USO 모델 지원** +- **UXO 주체 식별 LoRA 지원**: FLUX 아키텍처 기반의 주체 식별 LoRA 모델입니다. +- **관련 워크플로우**: 템플릿에서 워크플로우를 확인해주세요: `Flux` -> `Flux.1 Dev USO 참조 이미지 생성` + +**워크플로우 유틸리티** +- **ImageScaleToMaxDimension 노드**: 지능형 이미지 스케일링을 위한 새로운 유틸리티 +- **SEEDS 노이즈 시스템**: 개선된 알고리즘으로 업데이트된 노이즈 분해 기능 +- **향상된 프롬프트 제어**: 인터럽트 핸들러가 이제 prompt_id 매개변수를 수락합니다. + +**성능 및 아키텍처** +- **V3 스키마 마이그레이션**: 일부 핵심 노드를 V3 스키마로 변환했습니다. +- **컨볼루션 자동 튜닝**: 자동 컨볼루션 최적화를 활성화했습니다. + +**새로운 API 통합** +- **ByteDance 이미지 노드**: ByteDance 이미지 생성 서비스 지원 추가 +- **Ideogram 문자 참조**: Ideogram v3 API가 이제 문자 참조를 지원합니다. + + + + + +**성능 향상** +- **Windows에서 RAM 사용량 감소** + + + + +**Wan2.2 S2V 워크플로우 향상 및 모델 지원 확장** + +이번 릴리스는 Wan2.2 S2V 관련 동영상 워크플로우 기능과 모델 지원 확장을 중점적으로 다룹니다: + +**Wan2.2 S2V 워크플로우 제어** +- **WanSoundImageToVideoExtend 노드**: 오디오 기반 동영상 워크플로우를 위한 새로운 수동 동영상 확장 노드로, 제작자가 생성된 동영상 길이와 타이밍을 정밀하게 제어할 수 있습니다. 이를 통해 오디오 콘텐츠가 동영상 시퀀스로 변환되는 과정을 세밀하게 조정할 수 있습니다. +- **오디오-비디오 싱크로나이즈**: 비디오를 오디오 길이보다 더 길게 확장하면 워크플로우가 실패하는 중요한 문제를 수정하여, 오디오 지속 시간에 관계없이 안정적인 사운드-비디오 생성을 보장합니다. +- **자동 오디오 트리밍**: 이제 비디오는 자동으로 오디오를 비디오 길이에 맞춰 트리밍하므로 최종 출력 파일에서 오디오-비디오 싱크로 문제를 완전히 없앨 수 있습니다. + +**고급 잠재적 처리** +- **LatentCut 노드**: 정확한 지점에서 잠재적 요소를 자르는 새로운 노드로, 복잡한 생성 워크플로우에서 잠재 공간 조작을 더욱 세밀하게 제어할 수 있게 해줍니다. 이는 특히 일괄 처리 및 시간적 동영상 워크플로우, 예를 들어 동영상에서 특정 프레임을 제거하는 데 유용합니다. + +**Wan2.2 5B 모델 통합** +- **Fun Control 모델 지원**: Wan2.2 5B fun control 모델 지원 추가. +- **Fun Inpaint 모델 지원**: Wan2.2 5B fun inpaint 모델 통합. + + + + + +**노드 모델 패치 개선사항** + +이 집중적인 업데이트는 ComfyUI의 유연한 아키텍처를 뒷받침하는 핵심 노드 모델 패치 시스템을 개선합니다: + +**핵심 인프라 강화** +- **노드 모델 패치 업데이트**: 기본 모델 패치 메커니즘을 개선한 nodes_model_patch.py를 업데이트하여 Qwen-Image ControlNet용 ComfyUI 확장 기능을 더욱 쉽게 사용할 수 있도록 했습니다. + +**워크플로우 이점** +- **향상된 안정성**: 핵심 모델 패치 개선으로 다양한 워크플로우 구성에서도 보다 신뢰성 높은 노드 실행과 모델 처리가 가능해졌습니다. + + + + + +**오디오 워크플로우 통합 및 성능 최적화 강화** + +이번 릴리스에서는 ComfyUI 오디오 처리 기능을 추가하고, 성능 개선과 모델 호환성 업데이트를 포함했습니다: + +**오디오 처리 업데이트** +- **Wav2vec2 오디오 인코더**: 오디오 인코더 모델로 네이티브 Wav2vec2 구현을 추가하여 멀티모달 애플리케이션의 오디오-to-임베딩 워크플로우를 가능하게 했습니다. +- **오디오 인코더 디렉토리**: models/audio_encoders 디렉토리를 추가했으며, 이는 Wan2.2 S2V용 오디오 인코더 디렉토리입니다. +- **AudioEncoderOutput V3 지원**: AudioEncoderOutput를 V3 노드 스키마와 호환되도록 만들어 현대적인 워크플로우 아키텍처와 원활한 통합을 보장했습니다. + +**Google Gemini API 통합** +- **Gemini 이미지 API 노드**: 새로운 Google Gemini 이미지 API 노드인 "nano-Nano-banana" 이미지 편집 모델 API를 추가했으며, 높은 일관성을 제공합니다. + +**비디오 생성 성능 및 메모리 최적화** +- **WAN 2.2 S2V 모델 지원**: 메모리 사용량과 성능을 최적화한 WAN 2.2 사운드투비디오 모델의 작업 진행 중 구현 +- **S2V 성능 강화**: 120프레임 이상의 비디오 생성 성능을 개선하여 확장된 비디오 워크플로우를 향상시켰습니다. +- **더 나은 메모리 추정**: S2V 워크플로우에 대한 메모리 사용량 추정을 개선해 긴 비디오 생성 시 메모리 부족 오류를 방지했습니다. +- **음성 입력 처리 개선**: S2V 워크플로우에서 음성 입력의 음수 처리를 수정해 적절한 0값을 사용하도록 했습니다. + +**샘플링 및 노드 개선** +- **DPM++ 2M SDE Heun (RES) 샘플러**: @Balladie가 개발한 새로운 고급 샘플러로, 세밀한 생성 제어를 위한 추가 샘플링 옵션을 제공합니다. +- **LatentConcat 노드**: 잠재 텐서를 연결하는 새 노드로, 고급 잠재 공간 조작 워크플로우를 가능하게 합니다. +- **EasyCache/LazyCache 안정성**: 샘플링 과정에서 텐서 속성(형태/데이터형/장치)이 변경될 때 발생하는 심각한 크래시를 수정해 워크플로우의 신뢰성을 보장했습니다. + +**모델 호환성 개선** +- **ControlNet 유형 모델**: Qwen Edit 및 Kontext 워크플로우와 함께 작동하는 ControlNet 유형 모델의 호환성 문제를 개선했습니다. +- **Flux 메모리 최적화**: Flux 모델의 메모리 사용량 요소를 조정해 자원 활용을 더욱 효율적으로 만들었습니다. + +**인프라 및 안정성** +- **템플릿 업데이트**: 버전 0.1.66 및 0.1.68으로 업데이트되었습니다. +- **문서 정리**: readme에서 미완성 상태의 모델을 삭제해 사용자 혼란을 방지했습니다. + + + + + + +**향상된 모델 지원 및 Qwen 이미지 ControlNet 통합** + +이번 릴리스에서는 ControlNet 기능을 대폭 확장하고 모델 호환성을 개선하여 ComfyUI 워크플로우를 더욱 다재다능하고 안정적으로 만들었습니다: + +**Qwen ControlNet 생태계** +- **Diffsynth ControlNet 지원**: Canny 및 depth 조건부의 Qwen Diffsynth ControlNet 지원 추가로 정밀한 엣지 및 깊이 기반 이미지 제어 가능 +- **InstantX Qwen ControlNet**: 창의적 제어 옵션 확장을 위한 InstantX Qwen ControlNet 통합 +- **인페인트 ControlNet/모델 패치**: 전용 Diffsynth 인페인트 ControlNet 지원으로 인페인트 기능 향상 + +**노드 아키텍처 및 API 진화** +- **V3 아키텍처 마이그레이션**: 스트링 노드, Google Veo API, Ideogram API 노드를 V3 아키텍처로 업그레이드하여 더 나은 성능과 일관성 제공 +- **향상된 API 노드**: OpenAI 챗 노드는 명확성을 위해 'OpenAI ChatGPT'로 이름 변경, Gemini 챗 노드에는 복사 버튼 기능 추가 +- **향상된 사용성**: API 노드는 보다 명확한 라벨링과 강화된 상호작용 기능으로 더 나은 사용자 경험 제공 + +**워크플로우 신뢰성 및 성능** +- **LTXV 노이즈 마스크 수정**: 실제 노이즈 마스크가 존재할 때 주요 프레임의 노이즈 마스크 차원 문제 해결, 안정적인 비디오 워크플로우 실행 보장 +- **3D 잠재 조건부 제어**: 3D 잠재값에 대한 조건부 마스크 수정, 고급 워크플로우에서 깊이 인식 조건부 제어 가능하도록 개선 +- **잘못된 파일명 처리**: 잘못된 파일명을 적절히 처리하는 워크플로우 저장 기능 개선, 저장 실패 방지 +- **EasyCache 및 LazyCache**: 워크플로우 실행 성능 향상을 위한 고급 캐싱 시스템 구현 + +**플랫폼 및 개발 개선** +- **파이썬 3.13 지원**: 파이썬 3.13 완벽 호환, ComfyUI를 최신 파이썬 개발 트렌드와 동일하게 유지 +- **프론트엔드 업데이트**: v1.25.10로 업데이트, 향상된 탐색 및 사용자 인터페이스 개선 +- **원소별 융합**: 원소별 연산 융합을 통한 성능 최적화 추가 +- **탐색 모드 롤백**: 탐색 기본값을 전통적인 레거시 모드로 롤백, 기본 활성화된 표준 탐색 모드로 인한 사용자 경험 문제를 피함. 사용자는 설정에서 여전히 표준 탐색 모드를 활성화할 수 있음 + + + + + +**모델 지원** +- **Qwen-Image-Edit 모델**: Qwen-Image-Edit 기본 지원 +- **FluxKontextMultiReferenceLatentMethod 노드**: Flux 워크플로우를 위한 다중 참조 입력 노드 +- **WAN 2.2 Fun Camera 모델 지원**: 카메라 제어를 통한 비디오 생성 지원 +- **템플릿 업데이트**: 버전 0.1.62로 업그레이드, Wan2.2 Fun Camera 및 Qwen Image Edit 템플릿 추가 + +**핵심 기능 개선** +- **컨텍스트 윈도우 지원**: 긴 시퀀스 생성 작업을 지원하도록 샘플링 코드 개선 +- **SDPA 백엔드 최적화**: 성능 향상을 위한 스케일드 도트 프로덕트 어텐션 백엔드 설정 개선 + +**멀티미디어 노드 지원** +- **오디오 녹음 노드**: 새로운 기본 오디오 녹음 노드, 이제 ComfyUI에서 직접 오디오를 녹음할 수 있습니다. +- **오디오 비디오 통합**: 오디오-비디오 종속성 완벽 통합 + +**API 노드 지원 업데이트** +- **GPT-5 시리즈 모델**: 최신 GPT-5 모델 지원 +- **Kling V2-1 및 V2-1-Master**: 업데이트된 비디오 생성 모델 기능 +- **Minimax Hailuo 비디오 노드**: 새로운 비디오 생성 노드 +- **Vidu 비디오 노드**: Vidu API 노드 지원 +- **Google 모델 업데이트**: 새로운 Google Gemini 모델 추가 +- **OpenAI API 수정**: OpenAI API 노드 입력 이미지의 MIME 유형 오류 수정 + +**성능 최적화** +- **Intel GPU 호환성**: Intel 내장 GPU 호환성 문제 해결 +- **PyTorch 호환성**: 이전 버전의 PyTorch와의 호환성 강화 +- **Torch 컴파일 최적화**: torch 컴파일 동작 개선 +- **메모리 관리**: 설치 크기와 메모리 효율성 최적화 + +**프론트엔드 변경 사항** +- **서브그래프 지원**: 서브그래프 기능 지원 +- **바로가기 패널**: 하단 바로가기 패널 추가 +- **UI 레이아웃 수정**: 터미널 입력 레이아웃 수정, 템플릿, 로그 패널 및 기타 항목 추가 +- **표준 캔버스 모드**: 표준 캔버스 모드 추가, `Lite Graph` > `캔버스` > `캔버스 탐색 모드`에서 전환 가능 +- **미니맵**: 워크플로우 미니맵 추가 +- **탭 미리보기**: 워크플로우 탭 미리보기 추가 +- **상단 탭 메뉴 레이아웃 조정** + + + + + +**모델 통합 및 성능 개선** + +이번 릴리스에서는 향상된 Qwen 지원, 비동기 API 기능, 복잡한 워크플로우를 위한 안정성 개선을 통해 ComfyUI의 모델 생태계를 확장했습니다: + +**Qwen 모델 생태계** +- **Qwen 이미지 모델 지원**: 정교한 비전 워크플로우를 위한 적절한 LoRA 로딩 및 모델 병합 기능 포함된 통합 개선 +- **Qwen 모델 병합 노드**: Qwen 이미지 모델을 병합하는 전용 새 노드로, 크리에이터가 서로 다른 모델의 강점을 결합할 수 있도록 지원 +- **SimpleTuner Lycoris LoRA 지원**: SimpleTuner에서 학습한 Lycoris LoRA의 Qwen-Image 모델과의 호환성 확장 + +**API 및 성능 인프라** +- **비동기 API 노드**: 비동기 API 노드 도입으로 차단되지 않는 워크플로우 실행이 가능해져 성능 향상 +- **메모리 처리**: 향상된 RepeatLatentBatch 노드가 다차원 잠재변수를 올바르게 처리하여 워크플로우 중단 문제 해결 +- **WAN 2.2 펀 컨트롤 지원**: WAN 2.2 펀 컨트롤 기능 지원 추가로 비디오 워크플로우의 창의적 제어 범위 확대 + +**하드웨어 최적화 및 호환성** +- **AMD GPU 개선**: FP16 정확도 처리 개선 및 성능 최적화로 AMD Radeon 지원 강화 +- **RDNA3 아키텍처 수정**: PyTorch attention을 사용하는 Flux 모델에서 gfx1201 GPU 관련 문제 해결 +- **업데이트된 PyTorch 지원**: Python 3.13 및 CUDA 12.9에서 테스트 완료된 CUDA 및 ROCM PyTorch 버전 업그레이드 + +**개발자 경험 개선** +- **더 깔끔한 로깅**: 기능 플래그는 이제 세부 모드에서만 표시되어 콘솔의 혼잡도 감소 +- **오디오 처리 안전성**: 토치오디오 가져오기 안전성 검사 강화로 오디오 종속성이 없을 때도 충돌 방지 +- **Kling API 개선**: Kling Image API 노드의 이미지 유형 매개변수 처리 문제 해결 + +**워크플로우 이점** +- **비동기 워크플로우 실행**: 새로운 비동기 API 기능으로 외부 서비스 통합 시 더 반응성이 뛰어난 워크플로우 가능 +- **모델 유연성**: 확장된 Qwen 지원으로 더욱 다양한 비전-언어 워크플로우와 향상된 LoRA 호환성 제공 +- **하드웨어 활용**: AMD GPU 최적화 및 업데이트된 PyTorch 지원으로 하드웨어 구성에 따른 성능 향상 +- **배치 처리**: 고정된 RepeatLatentBatch로 복잡한 다차원 데이터 구조에서도 안정적인 작동 보장 +- **비디오 제어**: WAN 2.2 펀 컨트롤 기능으로 비디오 생성 워크플로우의 고급 창의적 제어 가능 + + + + + +**UI 경험 및 모델 지원** + +이번 릴리스는 사용자 경험 개선과 모델 지원을 통해 워크플로우 생성 및 성능을 향상시킵니다: + +**사용자 인터페이스 개선** +- **최근 사용 항목 API**: 인터페이스에서 최근에 사용한 항목을 추적하는 새로운 API로, 워크플로우 생성을 간소화합니다. +- **워크플로우 탐색**: 자주 접근하는 요소를 보다 효과적으로 정리하여 사용자 경험을 개선했습니다. + +**모델 통합** +- **Qwen 비전 모델 지원**: 구성 옵션을 갖춘 Qwen 이미지 모델에 대한 초기 지원 제공 +- **이미지 처리**: 향상된 Qwen 모델 통합으로 더욱 다채로운 이미지 분석 및 생성 워크플로우가 가능해졌습니다. + +**비디오 생성** +- **Veo3 비디오 생성**: 오디오 지원 기능이 통합된 Veo3 비디오 생성 노드 추가 +- **음향·영상 합성**: 비디오와 오디오 생성을 하나의 노드에서 결합할 수 있는 기능 제공 + +**성능 및 안정성 개선** +- **메모리 관리**: 향상된 캐스팅 및 장치 전송 작업을 통해 조건부 VRAM 사용을 최적화했습니다. +- **장치 일관성**: 모든 조건 데이터와 컨텍스트가 올바른 장치에 유지되도록 수정되었습니다. +- **ControlNet 안정성**: ControlNet 호환성 문제를 해결하여 이미지 제어 워크플로우의 기능을 복구했습니다. + +**개발자 및 시스템 개선** +- **오류 처리**: 조건부 장치가 일치하지 않을 경우 경고 및 충돌 방지를 추가했습니다. +- **템플릿 업데이트**: 여러 템플릿 버전(0.1.47, 0.1.48, 0.1.51)을 업데이트하여 호환성을 유지했습니다. + +**워크플로우 이점** +- **더 빠른 반복**: 최근 사용 항목 API를 통해 워크플로우 조립과 수정이 더욱 신속해졌습니다. +- **창의성 강화**: Qwen 비전 모델은 이미지 이해 및 조작 워크플로우에 새로운 가능성을 열어줍니다. +- **비디오 제작**: Veo3 통합으로 ComfyUI가 종합적인 멀티미디어 창작 플랫폼으로 변모했습니다. +- **신뢰성**: 메모리 최적화와 장치 관리 수정으로 복잡한 워크플로우에서도 안정적인 작동을 보장합니다. +- **성능**: VRAM 사용을 최적화해 리소스가 부족한 시스템에서도 보다 야심찬 프로젝트를 수행할 수 있습니다. + + + + + +**API 개선 및 성능 최적화** + +이번 릴리스에서는 워크플로우 실행과 노드 개발을 향상시키는 백엔드 개선 사항과 성능 최적화 기능을 도입했습니다: + +**ComfyAPI 핵심 프레임워크** +- **ComfyAPI Core v0.0.2**: 핵심 API 프레임워크로 업데이트하여 안정성과 확장성을 향상시켰습니다. +- **부분 실행 지원**: 다단계 워크플로우의 효율적인 처리를 가능하게 하는 부분 워크플로우 실행에 대한 새로운 백엔드 지원 기능을 추가했습니다. + +**영상 처리 개선 사항** +- **WAN 카메라 메모리 최적화**: WAN 기반 카메라 워크플로우의 메모리 관리를 개선하여 VRAM 사용량을 줄였습니다. +- **WanFirstLastFrameToVideo 수정**: 클립 비전 구성 요소가 없을 때 제대로 된 영상 생성을 방해하던 문제를 해결했습니다. + +**성능 및 모델 최적화** +- **VAE 비선형성 개선**: VAE 연산에서 수동 활성화 함수를 최적화된 torch.silu로 대체했습니다. +- **WAN VAE 최적화**: WAN VAE 연산에 대한 세밀한 최적화를 통해 처리 속도와 메모리 효율성을 높였습니다. + +**노드 스키마 진화** +- **V3 노드 스키마 정의**: 차세대 노드 스키마 시스템 구현 +- **템플릿 업데이트**: 여러 템플릿 버전(0.1.44, 0.1.45) 업데이트를 통해 호환성을 보장했습니다. + +**워크플로우 개발 이점** +- **영상 워크플로우**: 영상 생성 파이프라인의 안정성과 성능을 개선했습니다. +- **메모리 관리**: 최적화된 메모리 사용 패턴으로 VRAM이 제한된 시스템에서도 더욱 복잡한 워크플로우를 구동할 수 있습니다. +- **API 신뢰성**: 핵심 API 개선을 통해 맞춤형 노드 개발의 기반이 더욱 안정적으로 되었습니다. +- **실행 유연성**: 새로운 부분 실행 기능을 통해 디버깅과 개발 과정을 더욱 효율적으로 수행할 수 있습니다. + + + + + +**메모리 최적화 및 대규모 모델 성능** + +이번 릴리스는 대규모 모델 워크플로우를 위한 메모리 최적화에 중점을 두었으며, WAN 2.2 모델과 VRAM 관리를 통해 성능을 향상시켰습니다: + +**WAN 2.2 모델 최적화** +- **메모리 사용량 감소**: WAN 2.2 VAE 작업에서 불필요한 메모리 복제를 제거하여 메모리 사용량을 줄였습니다. +- **5B I2V 모델 지원**: WAN 2.2 5B 이미지-비디오 모델의 메모리 최적화를 통해 이러한 모델을 더욱 쉽게 접근할 수 있게 되었습니다. + +**향상된 VRAM 관리** +- **Windows 고급 그래픽 카드 지원**: Windows에서 고성능 그래픽 카드에 대한 예약된 VRAM 할당 기능을 추가했습니다. +- **메모리 할당**: 여러 대규모 모델을 동시에 작업하는 사용자를 위해 메모리 관리를 개선했습니다. + +**워크플로우 성능 이점** +- **VAE 처리**: WAN 2.2 VAE 작업이 이제 더 효율적으로 실행되며 메모리 오버헤드가 감소했습니다. +- **대규모 모델 추론**: 수십억 파라미터 모델을 사용할 때 안정성이 향상되었습니다. +- **배치 처리**: 메모리 최적화 덕분에 대규모 모델을 활용한 배치 작업을 보다 잘 처리할 수 있습니다. + + + + + +**하드웨어 가속 및 오디오 처리** + +이번 릴리스에서는 하드웨어 지원을 확장하고 오디오 처리 기능을 향상시켰습니다: + +**오디오 처리 개선 사항** +- **PyAV 오디오 백엔드**: 비디오 워크플로우에서 더 안정적인 오디오 처리를 위해 torchaudio.load를 PyAV로 대체했습니다. +- **오디오 통합**: 멀티미디어 생성 워크플로우의 오디오 처리를 강화했습니다. + +**하드웨어 지원** +- **Iluvatar CoreX 지원**: Iluvatar CoreX 가속기의 기본 지원을 추가했습니다. +- **Intel XPU 최적화**: 비동기 오프로드 기능을 포함한 XPU 지원 개선사항을 제공했습니다. +- **AMD ROCm 향상**: Torch 2.8에서 gfx1201에 대해 PyTorch 어텐션을 기본으로 활성화했습니다. +- **CUDA 메모리 관리**: CUDA malloc을 CUDA 지원 PyTorch 설치에서만 활성화하도록 수정했습니다. + +**샘플링 알고리즘 개선사항** +- **Euler CFG++ 개선**: Euler CFG++ 샘플러에서 노이즈 제거와 노이즈 추정 과정을 분리했습니다. +- **WAN 모델 지원**: WAN(웨이블렛 기반 어텐션 네트워크) 모델 지원을 추가했습니다. + +**트레이닝 기능** +- **트레이닝 노드**: 알고리즘 지원, 그라디언트 누적, 선택적 그라디언트 체크포인팅 기능을 추가했습니다. +- **트레이닝 유연성**: 맞춤형 모델 트레이닝을 위한 더 나은 메모리 관리와 성능 최적화를 제공합니다. + +**노드 및 워크플로우 개선사항** +- **Moonvalley V2V 노드**: 입력 검증 기능을 강화한 Moonvalley Marey V2V 노드를 추가했습니다. +- **네거티브 프롬프트 업데이트**: Moonvalley 노드의 네거티브 프롬프트 처리를 개선했습니다. +- **히스토리 API 개선**: get_history API에 map_function 매개변수를 추가했습니다. + +**API 및 시스템 개선사항** +- **프론트엔드 버전 추적**: /system_stats API 응답에 required_frontend_version 매개변수를 추가했습니다. +- **디바이스 정보**: 하드웨어 식별성을 높이기 위해 XPU 디바이스 이름 출력을 개선했습니다. +- **템플릿 업데이트**: 여러 템플릿 업데이트(0.1.40, 0.1.41)를 통해 호환성을 보장했습니다. + +**개발자 경험 개선** +- **문서 업데이트**: 예제를 포함한 README를 개선하고 모델 통합 가이드를 최신화했습니다. +- **줄 종료 문자 수정**: 줄 종료 문자를 표준화해 크로스 플랫폼 호환성을 높였습니다. +- **코드 정리**: 사용되지 않는 코드를 제거하고 구성 요소를 최적화했습니다. + + + + + +**샘플링 및 훈련 개선사항** + +이번 릴리스에서는 샘플링 알고리즘, 훈련 기능 및 노드 기능의 향상이 도입되었습니다: + +**샘플링 및 생성 기능** +- **SA-Solver 샘플러**: 새로운 재구성된 SA-Solver 샘플링 알고리즘이 추가되어 수치적 안정성이 향상되었습니다. +- **실험적 CFGNorm 노드**: 분류자 없는 가이던스 정규화를 통해 생성 품질을 더욱 세밀하게 제어할 수 있습니다. +- **중첩된 듀얼 CFG 지원**: DualCFGGuider 노드에 중첩 스타일 구성 옵션이 추가되었습니다. +- **SamplingPercentToSigma 노드**: 샘플링 비율에서 정밀한 시그마 계산을 위한 새로운 유틸리티 노드입니다. + +**훈련 기능** +- **다중 이미지-캡션 데이터셋 지원**: LoRA 훈련 노드가 이제 여러 이미지-캡션 데이터셋을 동시에 처리합니다. +- **훈련 루프 구현**: 훈련 알고리즘을 최적화하여 수렴성과 안정성을 개선했습니다. +- **오류 감지**: LoRA 작업에 대한 모델 감지 오류 힌트를 추가했습니다. + +**플랫폼 및 성능 개선사항** +- **비동기 노드 지원**: 비동기 노드 함수를 완벽히 지원하며 이전보다 실행 속도가 최적화되었습니다. +- **크로마 유연성**: 크로마에서 patch_size 매개변수를 하드코딩하지 않도록 변경했습니다. +- **LTXV VAE 디코더**: 이미지 품질 향상을 위해 기본 패딩 모드를 개선된 방식으로 전환했습니다. +- **Safetensors 메모리 관리**: mmap 문제를 해결하기 위한 대응책을 추가했습니다. + +**API 및 통합 개선사항** +- **맞춤형 프롬프트 ID**: API에서 프롬프트 ID를 지정하여 워크플로우 추적성을 높일 수 있습니다. +- **클링 API 최적화**: 사용자 시간 초과를 방지하기 위해 폴링 타임아웃을 늘렸습니다. +- **히스토리 토큰 정리**: 히스토리 항목에서 민감한 토큰을 제거했습니다. +- **파이썬 3.9 호환성**: 광범위한 플랫폼 지원을 보장하기 위해 호환성 문제를 수정했습니다. + +**버그 수정 및 안정성** +- **MaskComposite 수정**: 대상 마스크가 2차원인 경우 발생하는 오류를 해결했습니다. +- **Fresca 입출력**: Fresca 모델 워크플로우의 입출력 처리를 정확히 수정했습니다. +- **참조 버그 수정**: Gemini 노드 구현에서 발생하는 잘못된 참조 버그를 해결했습니다. +- **라인 종료 표준화**: Windows 라인 종료를 자동으로 감지하고 제거했습니다. + +**개발자 경험 개선** +- **경고 시스템**: 일반적인 구성 문제를 잡아내기 위해 torch import 오류 경고를 추가했습니다. +- **템플릿 업데이트**: 맞춤형 노드 개발을 개선하기 위해 여러 템플릿 버전(0.1.36, 0.1.37, 0.1.39)을 업데이트했습니다. +- **문서화**: fast_fp16_accumulation 문서를 강화했습니다. + + + + + +**샘플링 및 모델 제어 개선사항** + +이번 릴리스에서는 샘플링 알고리즘과 모델 제어 시스템의 개선 사항을 제공합니다: + +**샘플링 기능** +- **TCFG 노드**: 보다 세밀한 생성 제어를 위한 분류기 없는 가이던스 제어 강화 +- **ER-SDE 샘플러**: VE에서 VP 알고리즘으로 이전되었으며, 새로운 샘플러 노드 추가 +- **스킵 레이어 가이던스(SLG)**: 추론 중 정밀한 레이어 단위 제어 구현 + +**개발 도구** +- **커스텀 노드 관리**: `--whitelist-custom-nodes` 인자와 `--disable-all-custom-nodes`가 새롭게 추가됨 +- **성능 최적화**: 듀얼 CFG 노드는 CFG 값이 1.0일 때 자동으로 최적화됨 +- **GitHub Actions 통합**: 자동 릴리스 웹훅 알림 기능 + +**이미지 처리 개선사항** +- **변환 노드**: 이미지 회전 및 이미지 뒤집기 노드 추가로 이미지 조작 기능 향상 +- **이미지 컬러 마스크 수정**: 마스크 값 반환 오류 수정으로 보다 정확한 컬러 기반 마스크 적용 가능 +- **3D 모델 지원**: 맞춤형 하위 폴더에 3D 모델 업로드로 보다 나은 조직화 지원 + +**가이던스 및 조건부 처리 개선사항** +- **PerpNeg 가이더**: 개선된 전후 CFG 처리 방식으로 업데이트됨 +- **잠재 조건부 처리 수정**: 다단계 워크플로우에서 인덱스 > 0인 경우의 조건부 처리 문제 해결 +- **노이즈 제거 단계**: 여러 샘플러에 노이즈 제거 단계 지원 추가 + +**플랫폼 안정성** +- **PyTorch 호환성**: PyTorch 야간 빌드의 연속 메모리 문제 해결 +- **FP8 대체**: FP8 연산에서 예외 발생 시 자동으로 일반 연산으로 대체 +- **오디오 처리**: 더 이상 사용되지 않는 torchaudio.save 함수 의존성 제거 + +**모델 통합** +- **문밸리 노드**: 문밸리 모델 워크플로우에 대한 기본 지원 추가 +- **스케줄러 재정렬**: 간편 스케줄러가 이제 기본적으로 첫 번째 위치에 배치됨 +- **템플릿 업데이트**: 여러 템플릿 버전 업데이트 (0.1.31~0.1.35) + +**보안 및 안전성** +- **안전한 로딩**: 파일을 안전하지 않게 로딩할 경우 경고 추가 +- **파일 검증**: 체크포인트 로딩 안전성 조치 강화 + + + + + +**모델 지원 및 워크플로우 안정성** + +이번 릴리스에서는 모델 호환성과 워크플로우 안정성 향상이 이루어졌습니다: + +**확장된 모델 문서화**: Flux Kontext 및 Omnigen 2 모델에 대한 지원 문서 추가 +**VAE 인코딩 개선**: VAE 인코딩 중 불필요한 임의 노이즈 주입 제거 +**메모리 관리 수정**: Kontext 모델 사용에 영향을 미치던 메모리 추정 버그 해결 + + + + + +**모델 지원 추가 사항** +- **Cosmos Predict2 지원**: 텍스트-to이미지(2B 및 14B 모델)와 이미지-to비디오 생성 워크플로우 구현 +- **Flux 호환성**: Chroma 텍스트 인코더가 이제 일반 Flux 모델과도 작동합니다 +- **LoRA 트레이닝 통합**: 가중치 어댑터 방식을 사용하는 새로운 기본 LoRA 트레이닝 노드 + +**성능 및 하드웨어 최적화** +- **AMD GPU 향상**: AMD GPU에서 FP8 연산과 PyTorch 어텐션 활성화 +- **Apple Silicon 수정사항**: Apple 기기에서의 FP16 어텐션 문제 해결 +- **Flux 모델 안정성**: 특정 Flux 모델에서 발생하는 검은색 이미지 생성 문제 해결 + +**샘플링 개선 사항** +- **Rectified Flow 샘플러**: SEEDS 및 다단계 DPM++ SDE 샘플러를 RF 지원과 함께 추가 +- **ModelSamplingContinuousEDM**: 강화된 샘플링 제어를 위한 새로운 cosmos_rflow 옵션 +- **메모리 최적화**: Cosmos 모델에 대한 메모리 추정치 개선 + +**개발자 및 통합 기능** +- **SQLite 데이터베이스 지원**: 맞춤형 노드를 위한 데이터 관리 기능 강화 +- **PyProject.toml 통합**: pyproject 파일에서 자동으로 웹 폴더 등록 +- **프론트엔드 유연성**: semver 접미사 및 프리릴리즈 프론트엔드 버전 지원 +- **토큰라이저 개선**: tokenizer_data와 함께 구성 가능한 min_length 설정 + +**생활 편의성 개선 사항** +- **Kontext 종횡비 수정**: 위젯 전용 제한 해소 +- **SaveLora 일관성**: 모든 저장 노드에서 파일명 형식 표준화 +- **파이썬 버전 경고**: 오래된 파이썬 설치에 대한 알림 추가 +- **웹캠 캡처 수정사항**: IS_CHANGED 시그니처 수정 + + + + + +**워크플로우 도구 및 성능 최적화** + +이번 릴리스에서는 새로운 워크플로우 유틸리티와 성능 최적화 기능을 제공합니다: + +**워크플로우 도구** +- **ImageStitch 노드**: 워크플로우에서 여러 이미지를 원활하게 연결하세요 +- **GetImageSize 노드**: 이미지 크기를 일괄 처리 지원과 함께 추출하세요 +- **Regex Replace 노드**: 워크플로우를 위한 고급 텍스트 조작 기능 + +**모델 호환성** +- **텐서 처리**: 간소화된 리스트 처리로 다중 모델 워크플로우의 신뢰성을 높였습니다 +- **BFL API 최적화**: 컨텍스트 모델에 대한 지원을 개선하고 노드 인터페이스를 더욱 깔끔하게 만들었습니다 +- **성능 향상**: 크로마 처리 시 병합 곱셈-덧셈 연산을 통해 생성 속도를 높였습니다 + +**개발자 경험** +- **커스텀 노드 지원**: 더 나은 의존성 관리를 위해 pyproject.toml 지원을 추가했습니다 +- **도움말 메뉴 통합**: 노드 라이브러리 사이드바에 새로운 도움말 시스템을 추가했습니다 +- **API 문서화**: 강화된 API 노드 문서화 + +**프론트엔드 및 UI 개선** +- **프론트엔드 v1.21.7로 업데이트**: 안정성 수정 및 성능 개선 +- **커스텀 API 기본 지원**: 커스텀 배포 구성에 대한 하위 경로 처리가 더욱 개선되었습니다 +- **보안 강화**: XSS 취약점 수정 + +**버그 수정 및 안정성** +- **Pillow 호환성**: 사용되지 않는 API 호출을 업데이트했습니다 +- **ROCm 지원**: AMD GPU 사용자를 위한 버전 감지 기능을 개선했습니다 +- **템플릿 업데이트**: 커스텀 노드 개발을 위한 프로젝트 템플릿을 강화했습니다 + + diff --git a/ko/cloud/import-models.mdx b/ko/cloud/import-models.mdx new file mode 100644 index 000000000..68c7f058a --- /dev/null +++ b/ko/cloud/import-models.mdx @@ -0,0 +1,150 @@ +--- +title: "모델 가져오기" +description: "Civitai 및 Hugging Face의 모델을 Comfy Cloud로 가져오는 방법 알아보기" +translationSourceHash: b6574f59 +translationFrom: cloud/import-models.mdx +--- + +import CloudFeature from '/snippets/cloud-feature.mdx' + + + +## 개요 + +Comfy Cloud를 사용하면 Civitai와 Hugging Face에서 직접 모델을 가져올 수 있습니다. 이 기능은 **Creator** 이상 구독자에게 제공됩니다. + +## 요구사항 + +- **구독**: Creator 이상 등급 +- **지원되는 소스**: Civitai 및 Hugging Face + +## 모델 가져오기 방법 + +### 1. 가져오기 기능에 액세스하기 +![가져오기](/images/cloud/import_model/import_model.png) +1. 왼쪽 사이드바의 **모델** 버튼을 클릭해 모델 라이브러리를 엽니다. +2. 모델 라이브러리 모달에서 **가져오기** 버튼을 클릭하세요. + +### 2. 링크 붙여넣기 +1. Hugging Face 또는 Civitai에서 얻은 모델 링크를 붙여넣으세요. +![가져오기 모달](/images/cloud/import_model/import_model_modal-1.png) + +2. 링크가 유효하면 확인 표시가 나타나고, `계속` 버튼을 클릭해 진행할 수 있습니다. +![가져오기 모달](/images/cloud/import_model/import_model_modal-2.png) + +3. 모델 유형과 대상 폴더를 선택하세요. +![가져오기 모달](/images/cloud/import_model/import_model_modal-3.png) + +4. 모델 다운로드가 완료될 때까지 기다리세요. +![가져오기 모달](/images/cloud/import_model/import_model_modal-4.png) + +5. 다운로드가 완료되면, 모델 라이브러리에서 해당 모델을 확인할 수 있습니다. + +## 가져온 모델 보기 방법 + +모델 라이브러리에서 드롭다운 필터에서 "내 모델"을 선택해 가져온 모델만 필터링하세요. + +![가져온 모델](/images/cloud/import_model/imported_model.png) + +## 모델 가져오기 링크 얻는 방법 + +### 1. Civitai에서 링크 얻기 + +1. [Civitai](https://civitai.com/)에 접속해 가져오려는 모델을 찾으세요. +2. 다운로드 버튼을 오른쪽 클릭하고 "링크 주소 복사"를 선택해 모델 다운로드 링크를 얻으세요. + +![Civitai 링크 복사](/images/cloud/import_model/copy_civitai_link.png) + +### 2. Hugging Face에서 링크 얻기 + +1. [Hugging Face](https://huggingface.co/)에 접속해 가져오려는 모델 리포지토리를 찾으세요. +2. 모델 파일 페이지로 이동하세요. 지원되는 형식은 보통 ".safetensor" 또는 ".sft" 파일입니다. 특정 모델 이름을 클릭해 상세 페이지로 들어가세요. + +![Huggingface 모델 링크 복사](/images/cloud/import_model/copy_huggingface_link-1.png) + +3. 상세 페이지에서 `다운로드 링크 복사` 버튼을 클릭해 모델 다운로드 링크를 얻으세요. + +![Huggingface 모델 링크 복사](/images/cloud/import_model/copy_huggingface_link-2.png) + +## 비공개 모델 가져오기 + +Hugging Face나 Civitai의 비공개 모델을 가져오려면 먼저 API 키를 설정해야 합니다. + +### 1. API 키 생성하기 + +먼저 각 플랫폼에서 API 키를 생성해야 합니다: + + + + 1. Civitai에 로그인해 [https://civitai.com/user/account](https://civitai.com/user/account)에 방문하세요. + 2. 계정 설정에서 API 키를 생성하세요. + + ![Civitai API 키](/images/cloud/import_model/civitai_key-1.png) + + + 1. [https://huggingface.co/settings/tokens](https://huggingface.co/settings/tokens)에 방문하세요. + 2. API 토큰을 생성하세요. + + ![Hugging Face API 키](/images/cloud/import_model/huggingface_key-1.png) + + 3. 가져오려는 비공개 모델이 포함된 리포지토리에 대한 읽기 권한이 있는지 확인하세요. + + ![Hugging Face 토큰 권한](/images/cloud/import_model/huggingface_key-2.png) + + + +### 2. API 키 저장하기 + +1. [Comfy Cloud 설정](https://cloud.comfy.org)에 접속해 **비밀번호** 섹션으로 이동하세요. + +![설정 비밀번호](/images/cloud/import_model/setting_secerts-1.png) + +2. API 키를 추가하세요(키 이름은 원하는 대로 지정 가능): + +![비밀번호 추가](/images/cloud/import_model/setting_secerts-2.png) + +3. API 키가 가져오려는 비공개 모델에 대한 접근 권한을 가지고 있는지 확인하세요. + +### 3. 비공개 모델 가져오기 + +API 키가 설정되면, 공개 모델과 동일한 과정으로 비공개 모델을 가져올 수 있습니다: + +1. Hugging Face 또는 Civitai에서 모델 링크를 얻으세요. +2. 가져오기 모달에 링크를 붙여넣으세요. +3. 시스템은 자동으로 저장된 API 키를 사용해 비공개 모델에 접근합니다. + + +필요한 비공개 모델에 접근할 수 있는 권한이 있는지 확인하세요. + + +## FAQ + + + + 네. 지원되는 파일 형식은 **safetensor**뿐입니다. 파일 크기에 대한 제한은 사실상 없습니다(최대 100GB). + + + + 가져온 모델은 **귀하만의 비공개 모델**입니다. 귀하만이 라이브러리에서 모델을 볼 수 있습니다. + + + + 현재는 모델을 먼저 **공개 Hugging Face 또는 Civitai 리포지토리**에 업로드한 후 해당 플랫폼에서 가져와야 합니다. + + + + 아닙니다. 분할된 모델 파일을 하나의 파일로 합쳐서 업로드해야 합니다. + + + + 이 기능은 **Creator** 및 **Pro** 플랜에서만 이용 가능합니다. + + + + 아닙니다. 이 기능은 **클라우드 전용**입니다. + + + + 네. 가져온 모델은 삭제할 수 있습니다. 단, Comfy 내부 팀이 업로드한 모델은 삭제할 수 없습니다. + + \ No newline at end of file diff --git a/ko/cloud/share-workflow.mdx b/ko/cloud/share-workflow.mdx new file mode 100644 index 000000000..2ab8eb008 --- /dev/null +++ b/ko/cloud/share-workflow.mdx @@ -0,0 +1,58 @@ +--- +title: "워크플로우 공유하기" +description: "공유 가능한 링크를 통해 Comfy Cloud 워크플로우를 다른 사람들과 공유하는 방법을 알아보세요" +translationSourceHash: c12df158 +translationFrom: cloud/share-workflow.mdx +--- + +import CloudFeature from '/snippets/cloud-feature.mdx' + + + +## 개요 + +Comfy Cloud에서는 공유 가능한 링크를 생성하여 워크플로우를 다른 사람들과 공유할 수 있습니다. 수신자는 워크플로우와 함께 모든 입력, 출력 및 워크플로우에서 참조된 모든 자산을 볼 수 있습니다. + + + **공유 링크에는 워크플로우의 자산이 포함됩니다.** 링크를 가진 사람은 워크플로우 레이아웃뿐만 아니라 업로드된 이미지, 마스크 및 노드에 연결된 기타 파일과 같은 워크플로우에 사용된 미디어까지 모두 볼 수 있습니다. 개인적 또는 민감한 내용을 포함한 워크플로우의 링크는 절대 공유하지 마세요. + + +## 워크플로우 공유 방법 + + + + Comfy Cloud에서 공유하려는 워크플로우를 만들고 완성하세요. + + + 워크플로우 페이지의 오른쪽 상단 모서리에서 **공유** 버튼을 클릭하세요. + + ![워크플로우 도구 모음의 공유 버튼](/images/cloud/sahre_workflow/share_workflow_01.png) + + + 아직 워크플로우를 저장하지 않았다면, 공유하기 전에 파일 이름을 입력하고 저장하라는 메시지가 표시됩니다. + + ![공유 전 워크플로우 저장](/images/cloud/sahre_workflow/share_workflow_02_save_workflow.png) + + + 저장 후, **링크 생성**을 클릭해 공유 가능한 링크를 생성하세요. 이 링크에는 워크플로우, 그 입력과 출력, 그리고 그래프에서 사용된 자산이 포함됩니다. + + ![공유 가능한 링크 생성](/images/cloud/sahre_workflow/share_workflow_03_create_link.png) + + + 링크가 생성되면 이를 복사해 워크플로우를 공유하고자 하는 사람에게 보내세요. + + ![공유 링크 복사](/images/cloud/sahre_workflow/share_workflow_04_copy_link.png) + + + +## 공유된 워크플로우 업데이트하기 + +이미 공유된 워크플로우에 변경사항을 적용한 경우: + +1. 업데이트된 워크플로우를 저장하세요. +2. 다시 **공유** 버튼을 클릭하세요. +3. **업데이트**를 선택해 기존 공유 링크를 최신 변경사항으로 갱신하세요. + +![기존 공유 링크 업데이트](/images/cloud/sahre_workflow/share_workflow_05_update_link.png) + +원래 링크는 자동으로 업데이트된 워크플로우 내용을 반영합니다. 동일한 링크를 사용하는 수신자는 최신 버전을 확인할 수 있습니다. \ No newline at end of file diff --git a/ko/comfy-cli/getting-started.mdx b/ko/comfy-cli/getting-started.mdx new file mode 100644 index 000000000..384bd3242 --- /dev/null +++ b/ko/comfy-cli/getting-started.mdx @@ -0,0 +1,209 @@ +--- +title: "시작하기" +translationSourceHash: 81a03067 +translationFrom: comfy-cli/getting-started.mdx +--- + +import InstallComfyFromCli from "/snippets/install-comfy-from-cli.mdx"; +import InstallCli from "/snippets/install-comfycli.mdx"; + +### 개요 + +`comfy-cli`는 Comfy를 더 쉽게 설치하고 관리할 수 있게 해주는 [명령줄 도구](https://github.com/Comfy-Org/comfy-cli)입니다. + +이 도구는 두 가지 기능을 수행합니다: + +1. **로컬 ComfyUI 설치 관리** — ComfyUI와 맞춤형 노드를 설치, 실행, 업데이트, 스냅샷 및 분석합니다. +2. **호스팅된 파트너 노드 직접 호출** — Seedance, Nano Banana (Gemini), Grok, Flux, Ideogram, DALL·E, Recraft, Stability, Kling, Luma, Runway, Pika, Vidu, Hailuo, Moonvalley 등에서 이미지와 비디오를 단일 명령어로 생성합니다. 로컬 ComfyUI나 워크플로우 JSON이 필요하지 않습니다. + +### CLI 설치 + + + +### ComfyUI 설치 + + + +### ComfyUI 실행 + +```bash +comfy launch +``` + +## `comfy generate`를 사용해 파트너 노드 직접 호출하기 (베타) + + +**`comfy generate`는 베타 버전입니다.** 플래그 이름, 모델 별칭, 출력 형식은 피드백을 바탕으로 최적화 과정에서 변경될 수 있습니다. 기본 제공되는 파트너 엔드포인트는 안정적이며, 이 위에 구축된 CLI의 편의성만 아직 발전 중입니다. [comfy-cli GitHub 리포지토리](https://github.com/Comfy-Org/comfy-cli/issues)에 피드백이나 이슈를 제출해 주세요. + + + +`comfy generate`는 터미널이나 스크립트에서 Comfy의 [파트너 노드](/tutorials/partner-nodes/overview)를 호출하는 가장 빠른 방법입니다. 이는 기존에 ComfyUI 워크플로우에 연결하던 동일한 호스팅 엔드포인트를 사용하지만, 일회성 CLI 호출 방식으로 처리됩니다. 전체 ComfyUI 그래프를 구성하는 것이 불필요한 배치 작업, 빠른 실험, 자동화 파이프라인에 적합합니다. + + +### 사전 요구사항 + +* [Comfy API 키 생성하기](/development/comfyui-server/api-key-integration) +* [계정에 크레딧 추가하기](/interface/credits) +* 선택사항: [파트너 노드 및 호출별 가격 정보 보기](/tutorials/partner-nodes/overview) + +키를 한 번 설정한 후 다음을 실행하세요: + +```bash +export COMFY_API_KEY=comfyui-... # 또는 각 호출 시 --api-key 옵션 전달 +``` + +### 첫 번째 생성 + +```bash +comfy generate flux-pro \ + --prompt "달 위의 고양이, 영화 같은 조명" \ + --width 1024 --height 1024 \ + --download cat.png +``` + +이것이 전부입니다—CLI는 로컬 파일 입력을 업로드하고, 작업을 제출하며, 준비될 때까지 폴링한 후 결과를 `cat.png`에 저장합니다. + +### 인기 있는 모델들 + +몇 가지 가장 많이 사용되는 파트너 모델들은 한 줄로 호출 가능합니다: + +```bash +# Nano Banana (Google Gemini Flash Image) — 텍스트-to-이미지 및 프롬프트 기반 편집 +comfy generate nano-banana \ + --prompt "수채화로 그린 잠든 여우" \ + --download fox.png + +# 같은 별칭, 이번에는 이미지 편집 — --image 옵션으로 참조 이미지를 전달하세요(반복 가능): +comfy generate nano-banana \ + --prompt "모자를 추가하세요" \ + --image ./cat.png \ + --download edited.png + +# Gemini 변형 선택: +comfy generate nano-banana \ + --prompt "네온 도시의 스카이라인" \ + --model gemini-3-pro-image-preview \ + --download city.png + +# Seedance (ByteDance) — 텍스트-to-비디오, 최대 1080p / 12초 클립 +comfy generate seedance \ + --prompt "꽃 위에 매달린 벌새" \ + --resolution 1080p --duration 5 \ + --download hummingbird.mp4 + +# Seedance 이미지-to-비디오 — lite/i2v 변형을 선택하고 첫 프레임을 전달하세요 +comfy generate seedance \ + --model seedance-1-0-lite-i2v-250428 \ + --prompt "파도가 치고 부서지는 모습" \ + --image ./still.jpg \ + --download wave.mp4 + +# Grok (xAI) — 이미지 생성 및 편집 +comfy generate grok --prompt "야간 사이버펑크 거리 시장" --download street.png +comfy generate grok-edit --prompt "우산을 양산으로 교체하세요" --image ./photo.jpg --download out.png + +# Grok 비디오 +comfy generate grok-video --prompt "대성당을 통과하는 종이 비행기" --download flight.mp4 +``` + +### 모델 탐색하기 + +```bash +comfy generate list # 사용 가능한 모든 모델 +comfy generate list --category text-to-video # 카테고리별 필터링 +comfy generate list --partner kling # 파트너별 필터링 +comfy generate schema flux-kontext # 특정 모델의 파라미터 보기 +``` + +### 참조 이미지와 함께 이미지 편집하기 + +로컬 파일 경로를 직접 전달하세요—CLI는 Comfy의 스토리지 엔드포인트를 통해 업로드하거나(각 파트너가 요구하는 대로 base64로 인코딩됨): + +```bash +comfy generate flux-kontext \ + --prompt "모자를 추가하고 돋보기를 써보세요" \ + --input_image ./photo.jpg \ + --download out.png + +comfy generate ideogram-edit \ + --image cat.png --mask mask.png \ + --prompt "선글라스를 추가하세요" \ + --rendering_speed TURBO \ + --download edited.png +``` + +한 번 업로드하고 여러 호출에서 서명된 URL을 재사용하고 싶다면: + +```bash +comfy generate upload ./photo.jpg +# → 서명된 URL이 출력되며, 이를 --input_image 옵션으로 전달할 수 있습니다 +``` + + +업로드된 참조 자산은 **24시간** 후에 자동 삭제됩니다. 이들은 Comfy가 관리하는 GCS 버킷에 저장되고 서명된 URL을 통해 제공됩니다. 대부분의 워크플로우(업로드 → 사용 → 완료)에서는 이 과정이 투명하게 작동하지만, 장기간 실행되는 파이프라인에서는 각 작업 전에 다시 업로드하도록 계획하세요. 자세한 내용은 [참조](/comfy-cli/reference#upload)를 참고하세요. + + +### 비디오 생성 (비동기 작업) + +비디오 작업은 비동기 방식이며, 기본적으로 CLI는 차단하고 준비될 때까지 폴링합니다: + +```bash +comfy generate kling \ + --prompt "황혼녘 강물 위에 떠 있는 종이배" \ + --duration 5 \ + --download boat.mp4 +``` + +`--async` 옵션을 전달하면 즉시 작업 ID를 반환한 후 나중에 다시 진행할 수 있습니다: + +```bash +comfy generate luma --prompt "네온 잉어가 구름 속을 헤엄치다" --aspect_ratio 16:9 --async +# → 작업 ID가 출력됩니다; 이후 다음 명령어로 다시 진행하세요: +comfy generate resume luma --download out.mp4 +``` + +### JSON 출력을 이용한 스크립팅 + +파이프라인을 위해 `--json` 옵션은 원시 API 응답을 출력합니다: + +```bash +comfy generate dalle --prompt "수채화 고래" --json | jq '.data[0].url' +``` + +명령어, 플래그, 모델 별칭의 전체 목록은 [참조](/comfy-cli/reference)를 확인하세요. + +## 맞춤형 노드 관리하기 + +```bash +comfy node install +``` + +맞춤형 노드 설치에는 `cm-cli`를 사용합니다. 자세한 내용은 [문서](https://github.com/Comfy-Org/ComfyUI-Manager/blob/main/docs/en/cm-cli.md)를 참고하세요. + +## 모델 관리하기 + +`comfy-cli`를 이용한 모델 다운로드는 간편합니다. 다음 명령어를 실행하세요: + +```bash +comfy model download --url --relative-path models/checkpoints +``` + +## 기여하기 + +comfy-cli에 대한 기여를 환영합니다! 제안, 아이디어, 버그 보고가 있다면 [GitHub 리포지토리](https://github.com/Comfy-Org/comfy-cli/issues)에 이슈를 열어주세요. 코드 기여를 원한다면 리포지토리를 포크하고 풀 리퀘스트를 제출해 주세요. + +자세한 내용은 [개발 가이드](https://github.com/Comfy-Org/comfy-cli/blob/main/DEV_README.md)를 참고하세요. + +## 분석 + +CLI 사용량을 추적하여 사용자 경험을 개선합니다. 다음 명령어를 실행해 이 기능을 비활성화할 수 있습니다: + +```bash +comfy tracking disable +``` + +추적을 다시 활성화하려면 다음 명령어를 실행하세요: + +```bash +comfy tracking enable +``` \ No newline at end of file diff --git a/ko/comfy-cli/reference.mdx b/ko/comfy-cli/reference.mdx new file mode 100644 index 000000000..74010ec15 --- /dev/null +++ b/ko/comfy-cli/reference.mdx @@ -0,0 +1,26 @@ +--- +title: "참고" +translationSourceHash: d3b02585 +translationFrom: comfy-cli/reference.mdx +--- +import GenerateCliReference from '/snippets/cli-reference/generate.mdx' +import NodesCliReference from '/snippets/cli-reference/nodes.mdx' +import ModelsReference from '/snippets/cli-reference/models.mdx' + +# CLI + +## 생성 (파트너 노드) — 베타 + + +**`comfy generate`는 베타 버전입니다.** 플래그 이름, 모델 별칭 및 출력 형식은 변경될 수 있습니다. 기본 제공 파트너 엔드포인트는 안정적이나, CLI 표면은 여전히 발전 중입니다. [comfy-cli GitHub 리포지토리](https://github.com/Comfy-Org/comfy-cli/issues)에서 파일로 피드백을 보내주세요. + + + + +## 노드 + + + +## 모델 + + \ No newline at end of file diff --git a/ko/comfy-cli/troubleshooting.mdx b/ko/comfy-cli/troubleshooting.mdx new file mode 100644 index 000000000..ba5c4ffad --- /dev/null +++ b/ko/comfy-cli/troubleshooting.mdx @@ -0,0 +1,9 @@ +--- +title: "시작하기" +translationSourceHash: 8c9d813c +translationFrom: comfy-cli/troubleshooting.mdx +--- + +### 사전 요구사항 + +시스템에 git이 설치되어 있어야 합니다. [여기](https://git-scm.com/downloads)에서 설치하십시오. \ No newline at end of file diff --git a/ko/community/contributing.mdx b/ko/community/contributing.mdx new file mode 100644 index 000000000..195bc41e1 --- /dev/null +++ b/ko/community/contributing.mdx @@ -0,0 +1,11 @@ +--- +title: "기여하기" +translationSourceHash: 83af47d2 +translationFrom: community/contributing.mdx +--- + +### 기여 방법 + +우리는 모든 종류의 기여를 환영합니다. 저희가 지원하는 다양한 리포지토리를 [Github 조직](https://github.com/Comfy-Org)에서 확인해 보세요. + +워크플로우를 공유하거나 [맞춤형 노드](/custom-nodes/overview)를 개발함으로써도 기여할 수 있습니다. \ No newline at end of file diff --git a/ko/community/links.mdx b/ko/community/links.mdx new file mode 100644 index 000000000..a7ecf65ba --- /dev/null +++ b/ko/community/links.mdx @@ -0,0 +1,46 @@ +--- +title: "커뮤니티 링크" +description: "다양한 플랫폼을 통해 ComfyUI 커뮤니티와 연결하세요" +translationSourceHash: ea6ecb7c +translationFrom: community/links.mdx +--- + +ComfyUI 커뮤니티에 가입하여 도움을 받고, 여러분의 작업을 공유하며, 최신 개발 동향을 확인해 보세요. + + + + Discord 커뮤니티에 참여하세요 + + + + 도움과 지원을 받으세요 + + + + 커뮤니티 토론에 참여하세요 + + + + Matrix에서 채팅하세요 + + + + 소스 코드 보기 + + + + 튜토리얼 시청하기 + + + + X에서 저희를 팔로우하세요 + + + + LinkedIn에서 연결하세요 + + + + 저희 서브레딧에 참여하세요 + + \ No newline at end of file diff --git a/ko/custom-nodes/backend/datatypes.mdx b/ko/custom-nodes/backend/datatypes.mdx new file mode 100644 index 000000000..9dbbfc1a2 --- /dev/null +++ b/ko/custom-nodes/backend/datatypes.mdx @@ -0,0 +1,183 @@ +--- +title: "데이터 타입" +translationSourceHash: 16195ab5 +translationFrom: custom-nodes/backend/datatypes.mdx +--- + +다음은 가장 중요한 내장 데이터 타입입니다. 또한 [자신만의 데이터 타입을 정의](./more_on_inputs#custom-datatypes)할 수도 있습니다. + +데이터 타입은 클라이언트 측에서 워크플로우가 잘못된 형태의 데이터를 노드에 전달하는 것을 방지하는 데 사용됩니다—강력한 타이핑과 비슷합니다. +JavaScript 클라이언트 측 코드는 일반적으로 노드 출력을 다른 데이터 타입의 입력에 연결하지 못하도록 합니다. +다만 아래에 몇 가지 예외 사항이 나와 있습니다. + +## Comfy 데이터 타입 + +### COMBO + +* `INPUT_TYPES`에 추가적인 파라미터 없음 + +* Python 데이터 타입: `list[str]`로 정의되며, 출력 값은 `str`입니다. + +드롭다운 메뉴 위젯을 나타냅니다. +다른 데이터 타입과 달리, `COMBO`는 `INPUT_TYPES`에서 `str`로 지정되지 않고 드롭다운 목록의 옵션에 해당하는 `list[str]`로 지정되며, 기본적으로 첫 번째 옵션이 선택됩니다. + +`COMBO` 입력은 종종 런타임에 동적으로 생성됩니다. 예를 들어 내장된 `CheckpointLoaderSimple` 노드에서는 다음과 같이 찾을 수 있습니다: + +``` +"ckpt_name": (folder_paths.get_filename_list("checkpoints"), ) +``` + +또는 고정된 옵션 목록일 수도 있습니다: + +``` +"play_sound": (["no","yes"], {}), +``` + +### 프리미티브 및 리루트 + +프리미티브 및 리루트 노드는 클라이언트 측에만 존재합니다. 이들은 본질적인 데이터 타입을 갖지 않지만, 연결될 때 연결된 입력이나 출력의 데이터 타입을 따릅니다(그래서 `*` 입력에 연결할 수 없는 것입니다...). + +## Python 데이터 타입 + +### INT + +* `INPUT_TYPES`에 추가적인 파라미터: + + * `default`는 필수입니다. + + * `min`과 `max`는 선택적입니다. + +* Python 데이터 타입 `int` + +### FLOAT + +* `INPUT_TYPES`에 추가적인 파라미터: + + * `default`는 필수입니다. + + * `min`, `max`, `step`는 선택적입니다. + +* Python 데이터 타입 `float` + +### STRING + +* `INPUT_TYPES`에 추가적인 파라미터: + + * `default`는 필수입니다. + +* Python 데이터 타입 `str` + +### BOOLEAN + +* `INPUT_TYPES`에 추가적인 파라미터: + + * `default`는 필수입니다. + +* Python 데이터 타입 `bool` + +## 텐서 데이터 타입 + +### IMAGE + +* `INPUT_TYPES`에 추가적인 파라미터 없음 + +* Python 데이터 타입 `torch.Tensor`이며, *shape*는 \[B,H,W,C]입니다. + +`B`개의 이미지, 높이 `H`, 너비 `W`, 채널 수 `C`(일반적으로 `RGB`의 경우 `C=3`)의 배치입니다. + +### LATENT + +* `INPUT_TYPES`에 추가적인 파라미터 없음 + +* Python 데이터 타입 `dict`이며, *shape*는 \[B,C,H,W]인 `torch.Tensor`를 포함합니다. + +전달되는 `dict`에는 `samples`라는 키가 있으며, 이는 *shape* \[B,C,H,W]인 `torch.Tensor`로, `B`개의 잠재 변수 배치를 나타내며, 채널 수는 `C`(일반적으로 기존 안정적 확산 모델의 경우 `C=4`), 높이 `H`, 너비 `W`입니다. + +높이와 너비는 해당 이미지 크기의 1/8입니다(이는 Empty Latent Image 노드에서 설정한 값입니다). + +`dict`의 다른 항목에는 잠재 마스크 같은 것이 포함됩니다. + +{/* TODO 이 부분을 자세히 살펴봐야 함 */} + +{/* TODO 새로운 SD 모델은 C 값이 다를 수 있나? */} + +### MASK + +* `INPUT_TYPES`에 추가적인 파라미터 없음 + +* Python 데이터 타입 `torch.Tensor`이며, *shape*는 \[H,W] 또는 \[B,C,H,W]입니다. + +### AUDIO + +* `INPUT_TYPES`에 추가적인 파라미터 없음 + +* Python 데이터 타입 `dict`이며, *shape*는 \[B, C, T]인 `torch.Tensor`와 샘플 속도를 포함합니다. + +전달되는 `dict`에는 `waveform`이라는 키가 있으며, 이는 *shape* \[B, C, T]인 `torch.Tensor`로, `B`개의 오디오 샘플 배치를 나타내며, 채널 수는 `C`(`C=2` 스테레오, `C=1` 모노), 시간 단계 수는 `T`입니다(즉, 오디오 샘플의 개수). + +`dict`에는 또 다른 키인 `sample_rate`가 있으며, 이는 오디오의 샘플링 속도를 나타냅니다. + +## 맞춤형 샘플링 데이터 타입 + +### Noise + +`NOISE` 데이터 타입은 노이즈의 *소스*를 나타냅니다(실제 노이즈 자체가 아님). 이는 `generate_noise(self, input_latent:Tensor) -> Tensor` 시그니처를 가진 노이즈 생성 메서드와 `seed:Optional[int]` 속성을 제공하는 모든 Python 객체로 표현될 수 있습니다. + + `seed`는 `SamplerCustomAdvanced`의 `sample` 가이더에 전달되지만, 표준 가이더에서는 사용되지 않는 것으로 보입니다. 이는 선택적이므로 일반적으로 None으로 설정할 수 있습니다. + +노이즈를 추가할 때, 잠재 변수가 이 메서드에 전달되며, 이는 동일한 shape의 노이즈를 포함한 `Tensor`를 반환해야 합니다. + +[노이즈 혼합 예시](./snippets#creating-noise-variations) 참조 + +### Sampler + +`SAMPLER` 데이터 타입은 샘플러를 나타내며, 이는 `sample` 메서드를 제공하는 Python 객체로 표현됩니다. 안정적 확산 샘플링은 이 가이드의 범위를 벗어납니다; 이 코드 부분을 자세히 살펴보려면 `comfy/samplers.py`를 참고하세요. + +### Sigmas + +`SIGMAS` 데이터 타입은 스케줄러가 생성한 샘플링 과정의 각 단계 전후의 시그마 값을 나타냅니다. 이는 길이가 `steps+1`인 1차원 텐서로, 각 요소는 해당 단계 전에 존재할 것으로 예상되는 노이즈를 나타내며, 마지막 값은 최종 단계 이후의 노이즈를 나타냅니다. + +20단계와 1의 디노이즈를 가진 `normal` 스케줄러는 SDXL 모델에서 다음과 같은 값을 생성합니다: + +``` +tensor([14.6146, 10.7468, 8.0815, 6.2049, 4.8557, + 3.8654, 3.1238, 2.5572, 2.1157, 1.7648, + 1.4806, 1.2458, 1.0481, 0.8784, 0.7297, + 0.5964, 0.4736, 0.3555, 0.2322, 0.0292, 0.0000]) +``` + +시그마의 시작값은 모델에 따라 다르므로, 스케줄러 노드는 SIGMAS 출력을 생성하려면 `MODEL` 입력이 필요합니다 + +### Guider + +`GUIDER`는 '안내'된 프롬프트나 기타 조건부 형태에 의해 '유도'된 디노이징 과정의 일반화입니다. Comfy에서 가이더는 `callable` Python 객체로 표현되며, `__call__(*args, **kwargs)` 메서드를 제공하고 이 메서드는 샘플에 의해 호출됩니다. + +`__call__` 메서드는 (`args[0]`에) 노이즈가 있는 잠재 변수 배치(`tensor `[B,C,H,W]`)를 받아들여, 동일한 shape의 노이즈 예측값(`Tensor`)을 반환합니다. + +## 모델 데이터 타입 + +안정적 확산 모델을 위한 더 많은 기술적 데이터 타입이 있습니다. 가장 중요한 것은 `MODEL`, `CLIP`, `VAE`, 그리고 `CONDITIONING`입니다. 이들과 함께 작업하는 것은 (당분간) 이 가이드의 범위를 벗어납니다! {/* TODO 하지만 아마도 영원히는 아닐 겁니다 */} + +## 추가 파라미터 + +아래는 입력 정의의 '추가 옵션' 부분에서 사용할 수 있는 공식 지원 키들의 목록입니다. + +자신만의 맞춤 위젯을 위해 추가 키를 사용할 수 있지만, 아래 키들을 다른 용도로 재사용해서는 안 됩니다. + +{/* TODO -- 실제로 모든 걸 다 가져왔나? */} + +| 키 | 설명 | +| ---------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `default` | 위젯의 기본값 | +| `min` | 숫자(`FLOAT` 또는 `INT`)의 최소값 | +| `max` | 숫자(`FLOAT` 또는 `INT`)의 최대값 | +| `step` | 위젯을 증가하거나 감소시키는 양 | +| `label_on` | bool이 `True`일 때 UI에 사용할 라벨(`BOOL`) | +| `label_off` | bool이 `False`일 때 UI에 사용할 라벨(`BOOL`) | +| `defaultInput` | 지원되는 위젯 대신 입력 소켓을 기본값으로 사용합니다 | +| `forceInput` | `defaultInput`와 동시에 위젯으로 변환하는 것을 허용하지 않습니다 | +| `multiline` | 다중행 텍스트 박스(`STRING`)를 사용합니다 | +| `placeholder` | 비어 있을 때 UI에 표시할 자리표시 텍스트(`STRING`) | +| `dynamicPrompts` | 프론트엔드가 동적 프롬프트를 평가하도록 만듭니다 | +| `lazy` | 이 입력이 [지연 평가](./lazy_evaluation)를 사용한다고 선언합니다 | +| `rawLink` | 링크가 존재할 때, 평가된 값을 받는 대신 링크를 받게 됩니다(예: `["nodeId", ]`). 주로 노드가 [노드 확장](./expansion)을 사용할 때 유용합니다. | \ No newline at end of file diff --git a/ko/custom-nodes/backend/expansion.mdx b/ko/custom-nodes/backend/expansion.mdx new file mode 100644 index 000000000..eff14adb8 --- /dev/null +++ b/ko/custom-nodes/backend/expansion.mdx @@ -0,0 +1,54 @@ +--- +title: "노드 확장" +translationSourceHash: 594d2ce1 +translationFrom: custom-nodes/backend/expansion.mdx +--- + +## 노드 확장 + +일반적으로 노드가 실행되면 해당 실행 함수는 즉시 그 노드의 출력 결과를 반환합니다. "노드 확장"은 노드가 그래프 내에서 대신 자리 잡아야 할 새로운 하위 그래프를 반환하도록 하는 비교적 고급 기법입니다. 이 기법 덕분에 맞춤형 노드들이 루프를 구현할 수 있습니다. + +### 간단한 예제 + +먼저, 노드 확장이 어떤 모습인지 간단한 예제를 살펴보겠습니다: + +하위 그래프를 생성할 때는 `GraphBuilder` 클래스를 사용하는 것을 적극 권장합니다. 필수는 아니지만, 많은 쉬운 실수를 방지해줍니다. +```python +def load_and_merge_checkpoints(self, checkpoint_path1, checkpoint_path2, ratio): + from comfy_execution.graph_utils import GraphBuilder # 보통 파일 상단에 위치 + graph = GraphBuilder() + checkpoint_node1 = graph.node("CheckpointLoaderSimple", checkpoint_path=checkpoint_path1) + checkpoint_node2 = graph.node("CheckpointLoaderSimple", checkpoint_path=checkpoint_path2) + merge_model_node = graph.node("ModelMergeSimple", model1=checkpoint_node1.out(0), model2=checkpoint_node2.out(0), ratio=ratio) + merge_clip_node = graph.node("ClipMergeSimple", clip1=checkpoint_node1.out(1), clip2=checkpoint_node2.out(1), ratio=ratio) + return { + # (MODEL, CLIP, VAE) 출력 반환 + "result": (merge_model_node.out(0), merge_clip_node.out(0), checkpoint_node1.out(2)), + "expand": graph.finalize(), + } +``` + +이전에는 같은 노드를 직접 ComfyUI 내부로 호출하여 구현할 수도 있었지만, 확장을 사용하면 각 하위 노드가 별도로 캐싱됩니다(따라서 `model2`를 변경하더라도 `model1`을 다시 로드할 필요가 없습니다). + +### 요구 사항 + +노드 확장을 수행하려면 노드가 다음 키를 포함한 딕셔너리를 반환해야 합니다: +1. `result`: 노드의 출력값 튜플입니다. 여기에는 일반 노드에서 반환하는 것과 같은 최종 값과 노드 출력이 혼합될 수 있습니다. +2. `expand`: 확장을 수행할 최종화된 그래프입니다. `GraphBuilder`를 사용하지 않는 경우 아래를 참조하세요. + +#### GraphBuilder를 사용하지 않는 경우 추가 요구 사항 + +`expand` 키에서 기대하는 형식은 ComfyUI API 형식과 동일합니다. 다음 요구 사항들은 `GraphBuilder`가 처리하지만, 이를 생략하기로 선택한 경우 수동으로 처리해야 합니다: + +1. 노드 ID는 전체 그래프 내에서 유일해야 합니다. (리스트를 사용하기 때문에 같은 노드의 여러 실행 간에도 포함됩니다.) +2. 노드 ID는 그래프의 여러 실행 간에 결정적이며 일관되어야 합니다(캐싱으로 인한 부분 실행 포함). + +실제로 그래프를 구성하는 데 `GraphBuilder`를 사용하고 싶지 않더라도(예를 들어, 그래프의 원시 JSON을 파일에서 불러오는 경우), `GraphBuilder.alloc_prefix()` 함수를 사용해 접두사를 생성하고, `comfy.graph_utils.add_graph_prefix`를 사용해 기존 그래프를 이러한 요구 사항에 맞게 수정할 수 있습니다. + +### 효율적인 하위 그래프 캐싱 + +하위 그래프 내의 노드에 비리터럴 입력을 전달할 수 있지만, 이는 하위 그래프 내의 캐싱을 저해할 수 있습니다. 가능하다면 노드 자체가 아닌 하위 그래프 객체에 대한 링크를 전달해야 합니다. (입력의 [추가 매개변수](./datatypes#additional-parameters)에서 입력을 `rawLink`로 선언하면 쉽게 수행할 수 있습니다.) + +## 참고사항 + +- [하위 그래프(개발자 가이드)](/custom-nodes/js/subgraphs) — 확장 개발자를 위한 프론트엔드 가이드 \ No newline at end of file diff --git a/ko/custom-nodes/backend/images_and_masks.mdx b/ko/custom-nodes/backend/images_and_masks.mdx new file mode 100644 index 000000000..15697fc21 --- /dev/null +++ b/ko/custom-nodes/backend/images_and_masks.mdx @@ -0,0 +1,51 @@ +--- +title: "이미지, 랜트, 마스크" +translationSourceHash: c658f6a5 +translationFrom: custom-nodes/backend/images_and_masks.mdx +--- + +이 데이터 유형을 다룰 때는 `torch.Tensor` 클래스에 대해 알아야 합니다. +자세한 문서는 [여기](https://pytorch.org/docs/stable/tensors.html)에서 확인할 수 있으며, +Comfy에 필요한 핵심 개념에 대한 소개는 [여기](./tensors)에서 확인할 수 있습니다. + +노드의 출력이 단일 텐서인 경우, `(image)`가 아니라 `(image,)`를 반환해야 합니다. + +아래의 대부분의 개념은 [예제 코드 스니펫](./snippets)에서 설명되어 있습니다. + +## 이미지 + +IMAGE는 `[B,H,W,C]` 형태의 `torch.Tensor`로, `C=3`입니다. 이미지를 저장하거나 불러올 때는 `PIL.Image` 형식으로 변환하거나 그 반대로 변환해야 합니다. 아래 코드 스니펫을 참고하세요! 일부 `pytorch` 연산에서는 계산 효율성을 위해 `[B,C,H,W]`, 즉 '채널 우선' 형식을 제공하거나 요구합니다. 주의하시기 바랍니다. + +### PIL.Image 다루기 + +이미지를 불러오고 저장하려면 PIL을 사용하는 것이 좋습니다: +```python +from PIL import Image, ImageOps +``` + +## 마스크 + +MASK는 `[B,H,W]` 형태의 `torch.Tensor`입니다. +많은 상황에서 마스크는 이진 값(0 또는 1)을 가지며, 특정 픽셀이 어떤 작업을 수행해야 하는지를 나타냅니다. 경우에 따라 0과 1 사이의 값을 사용해 마스크의 정도를 나타내기도 합니다(예를 들어, 투명도를 조정하거나 필터를 적용하거나 레이어를 합성할 때). + +### 이미지 로드 노드에서 마스크 생성하기 + +`LoadImage` 노드는 이미지의 알파 채널(즉, 'RGBA'의 'A')을 사용해 마스크를 생성합니다. +알파 채널의 값은 [0,1] 범위로 정규화된 후(토치.float32) 반전됩니다. +`LoadImage` 노드는 이미지를 로드할 때 항상 마스크 출력을 생성합니다. 많은 이미지(예를 들어 JPEG)에는 알파 채널이 없습니다. 이런 경우 `LoadImage`는 기본 마스크를 `[1, 64, 64]` 형태로 생성합니다. + +### 마스크 형태 이해하기 + +`numpy`, `PIL` 등 여러 라이브러리에서는 단일 채널 이미지(마스크와 같은)를 보통 2D 배열로 표현하며, 형태는 `[H,W]`입니다. +이는 채널 차원(`C`)이 암묵적으로 포함된다는 것을 의미하며, 따라서 IMAGE 유형과 달리 마스크의 배치는 `[B, H, W]` 세 차원만 갖습니다. +종종 `B` 차원이 암묵적으로 축소되어 `[H,W]` 형태의 텐서를 만나게 되는 경우가 있습니다. + +마스크를 사용하려면 종종 `unsqueeze`를 통해 `[B,H,W,C]` 형태로 맞춰야 합니다. 여기서 `C=1`입니다. +`C` 차원을 확장하려면 `unsqueeze(-1)`을, `B` 차원을 확장하려면 `unsqueeze(0)`을 사용하세요. +노드에서 마스크를 입력으로 받는다면, 항상 `mask.shape`의 길이를 확인하는 것이 좋습니다. + +## 랜트 + +LATENT는 `dict`이며, 랜트 샘플은 키 `samples`로 참조되며, 형태는 `[B,C,H,W]`이고 `C=4`입니다. + + LATENT는 채널 우선이며, IMAGE는 채널 마지막입니다 \ No newline at end of file diff --git a/ko/custom-nodes/backend/interface.mdx b/ko/custom-nodes/backend/interface.mdx new file mode 100644 index 000000000..07cef0a9b --- /dev/null +++ b/ko/custom-nodes/backend/interface.mdx @@ -0,0 +1,133 @@ +--- +title: "코드 인터페이스" +description: "맞춤형 노드란 무엇이며, 어떻게 사용하나요?" +translationSourceHash: 67e14226 +translationFrom: custom-nodes/backend/interface.mdx +--- + +## 개요 + +맞춤형 노드는 파이썬 코드와 일부 모델 가중치를 결합한 것입니다. 맞춤형 노드는 매우 강력하며, Comfy 커뮤니티가 자신만의 기능을 ComfyUI에 구축할 수 있도록 해줍니다. + +코드를 읽는 것을 선호한다면 저장소의 [예제](https://github.com/Comfy-Org/ComfyUI/blob/master/custom_nodes/example_node.py.example)를 확인해 보세요. 그렇지 않다면 아래에서 Comfy의 내장 노드 중 하나를 살펴보겠습니다. + +## 인터페이스 + +ComfyUI의 내장 [체크포인트 로드](https://github.com/Comfy-Org/ComfyUI/blob/master/nodes.py#L529C7-L529C29) 노드를 통해 맞춤형 노드의 인터페이스를 살펴보겠습니다. 이 노드는 체크포인트 파일을 로드합니다. + +### 함수 + +모든 맞춤형 노드는 다음 메서드를 구현할 수 있습니다. + +#### INPUT_TYPES + +이것은 맞춤형 노드가 입력으로 받을 수 있는 매개변수를 정의합니다. + +```python + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "ckpt_name": (folder_paths. + get_filename_list("checkpoints"),), + }} +``` + +여기서 입력 유형이 파이썬의 딕셔너리로 정의된 것을 볼 수 있습니다. 입력을 `required`, `hidden`, 또는 `optional`로 정의할 수 있습니다. + +각 입력에는 반드시 타입(예: VAE)이 있어야 합니다. 특별한 내장 타입인 `INT`, `STRING`, 또는 `FLOAT`를 사용하면 리스트로 정의할 수 있습니다. + + + +`default`: 기본값을 정의할 수 있습니다. + +`min`: 최솟값을 정의할 수 있습니다. + +`max`: 최댓값을 정의할 수 있습니다. + +`step`: 슬라이더를 사용할 수 있습니다. + + + +#### IS_CHANGED + +선택적입니다. 노드가 언제 다시 실행될지 제어할 수 있게 해줍니다. ComfyUI는 더 효율적으로 작동하기 위해 변경된 노드만 실행하려고 시도합니다. + +### 속성 + +#### RETURN_TYPES + +튜플입니다. 출력 튜플의 각 요소의 타입입니다. + +```python +RETURN_TYPES = ("MODEL", "CLIP", "VAE") +``` + +#### RETURN_NAMES + +선택적: 출력 튜플의 각 출력 이름입니다. + +```python +CATEGORY = "loaders" +``` + +#### FUNCTION + +맞춤형 노드 클래스에서 호출할 파이썬 함수의 이름입니다. + +LoadCheckpointSimple의 경우, 함수는 다음과 같이 정의됩니다: + +```python +FUNCTION = "load_checkpoint" +``` + +#### 엔트리 포인트 함수 + +노드가 호출될 때 호출되는 파이썬 함수입니다. FUNCTION 아래의 문자열과 일치해야 합니다. + +```python +def load_checkpoint(self, ckpt_name, output_vae=True, output_clip=True): + ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name) + out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings")) + return out[:3] +``` + +#### OUTPUT_NODE + +불린 값입니다. 기본값은 False입니다. 노드가 그래프에서 결과/이미지를 출력할 경우 True로 설정하세요. + +#### CATEGORY + +문자열입니다. 노드를 UI에서 어떤 카테고리에 표시하고 싶은지 정의합니다. + +```python +CATEGORY = "loaders" +``` + +#### WEB_DIRECTORY + +맞춤형 노드는 맞춤형 UI를 가질 수 있습니다. + +이 속성은 웹 디렉토리를 설정합니다. 해당 디렉토리에 있는 모든 `.js` 파일은 프론트엔드 확장으로 로드됩니다. + +맞춤형 노드는 `WEB_DIRECTORY/docs` 폴더에 마크다운 문서화를 포함할 수도 있습니다. 노드에 풍부한 문서화를 추가하는 방법에 대한 자세한 내용은 [도움말 페이지](/custom-nodes/help_page) 섹션을 참조하세요. + +#### NODE_CLASS_MAPPINGS + +내보낼 모든 노드와 그 클래스 이름을 포함한 딕셔너리입니다. 클래스 이름은 고유해야 합니다. 이는 하나의 "맞춤형 노드"에 여러 노드를 정의하고 모두 함께 내보낼 수 있음을 의미합니다. + +```python +NODE_CLASS_MAPPINGS = { + "CheckpointLoaderSimple": CheckpointLoaderSimple, +} +``` + +#### NODE_DISPLAY_NAME_MAPPINGS + +각 노드에 좀 더 인간친화적인 이름을 정의하고 싶을 경우입니다. + +```python +NODE_DISPLAY_NAME_MAPPINGS = { + "CheckpointLoaderSimple": "체크포인트 로드", +} +``` \ No newline at end of file diff --git a/ko/custom-nodes/backend/lazy_evaluation.mdx b/ko/custom-nodes/backend/lazy_evaluation.mdx new file mode 100644 index 000000000..9ba15c958 --- /dev/null +++ b/ko/custom-nodes/backend/lazy_evaluation.mdx @@ -0,0 +1,142 @@ +--- +title: "지연 평가" +translationSourceHash: 5067d169 +translationFrom: custom-nodes/backend/lazy_evaluation.mdx +--- + +## 지연 평가 + +기본적으로 모든 `required` 및 `optional` 입력은 노드를 실행하기 전에 평가됩니다. 그러나 때로는 특정 입력이 반드시 사용되지 않을 수 있으며, 이를 평가하는 것은 불필요한 처리를 초래할 수 있습니다. 다음은 지연 평가가 유익할 수 있는 노드의 몇 가지 예시입니다: +1. `ModelMergeSimple` 노드에서 비율이 `0.0`(첫 번째 모델을 로드할 필요가 없는 경우) 또는 `1.0`(두 번째 모델을 로드할 필요가 없는 경우)인 경우. +2. 두 이미지 간의 보간에서 비율(또는 마스크)이 전부 `0.0`이거나 전부 `1.0`인 경우. +3. 스위치 노드에서 하나의 입력이 다른 입력 중 어떤 것을 통과시킬지를 결정하는 경우. + +입력을 지연 처리하는 데 드는 비용은 매우 적습니다. 가능하다면 일반적으로 그렇게 하는 것이 좋습니다. + +### 지연 입력 생성하기 + +입력을 '지연' 입력으로 만드는 데는 두 단계가 있습니다. 바로: + +1. `INPUT_TYPES`에서 반환되는 딕셔너리에서 해당 입력을 지연 처리로 표시하기 +2. 평가 전에 호출되어 추가 입력이 필요한지 판단하는 `check_lazy_status`라는 메서드 정의하기 (참고: 클래스 메서드가 아님) + +이를 시연하기 위해 마스크에 따라 두 이미지 간에 보간하는 `MixImages` 노드를 만들어보겠습니다. 마스크 전체가 `0.0`이면 두 번째 이미지까지 이르는 트리의 어느 부분도 평가할 필요가 없습니다. 마스크 전체가 `1.0`이면 첫 번째 이미지는 평가하지 않아도 됩니다. + +#### `INPUT_TYPES` 정의하기 + +입력이 지연 처리임을 선언하는 것은 입력 옵션 딕셔너리에 `lazy: True` 키-값 쌍을 추가하는 것만으로 충분합니다. + +```python +@classmethod +def INPUT_TYPES(cls): + return { + "required": { + "image1": ("IMAGE",{"lazy": True}), + "image2": ("IMAGE",{"lazy": True}), + "mask": ("MASK",), + }, + } +``` + +이 예시에서는 `image1`과 `image2`가 모두 지연 처리 입력으로 표시되었지만, `mask`는 항상 평가됩니다. + +#### `check_lazy_status` 정의하기 + +`check_lazy_status` 메서드는 아직 사용 가능한 지연 처리 입력이 하나 이상 있을 경우 호출됩니다. 이 메서드는 표준 실행 함수와 동일한 인수를 받습니다. 사용 가능한 모든 입력은 최종 값으로 전달되며, 사용 불가능한 지연 처리 입력은 `None` 값을 가집니다. + +`check_lazy_status` 함수의 책임은 진행에 필요한 지연 처리 입력의 이름 목록을 반환하는 것입니다. 모든 지연 처리 입력이 사용 가능하면 함수는 빈 리스트를 반환해야 합니다. + +참고로 `check_lazy_status`는 여러 번 호출될 수 있습니다. (예를 들어, 한 지연 처리 입력을 평가한 후 다른 입력을 평가해야 할 수도 있습니다.) + +함수가 실제 입력 값을 사용하므로, 이 메서드는 클래스 메서드가 아닙니다. +```python +def check_lazy_status(self, mask, image1, image2): + mask_min = mask.min() + mask_max = mask.max() + needed = [] + if image1 is None and (mask_min != 1.0 or mask_max != 1.0): + needed.append("image1") + if image2 is None and (mask_min != 0.0 or mask_max != 0.0): + needed.append("image2") + return needed +``` + +### 전체 예시 + + +```python +class LazyMixImages: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image1": ("IMAGE",{"lazy": True}), + "image2": ("IMAGE",{"lazy": True}), + "mask": ("MASK",), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "mix" + + CATEGORY = "Examples" + + def check_lazy_status(self, mask, image1, image2): + mask_min = mask.min() + mask_max = mask.max() + needed = [] + if image1 is None and (mask_min != 1.0 or mask_max != 1.0): + needed.append("image1") + if image2 is None and (mask_min != 0.0 or mask_max != 0.0): + needed.append("image2") + return needed + + # 여기서는 서로 다른 배치 크기를 처리하려 하지 않습니다. 단순히 데모를 간단하게 유지하기 위해서입니다. + def mix(self, mask, image1, image2): + mask_min = mask.min() + mask_max = mask.max() + if mask_min == 0.0 and mask_max == 0.0: + return (image1,) + elif mask_min == 1.0 and mask_max == 1.0: + return (image2,) + + result = image1 * (1. - mask) + image2 * mask, + return (result[0],) +``` + +## 실행 차단 + +지연 평가는 그래프의 일부를 '비활성화'하는 권장 방법이지만, 직접 구현한 `OUTPUT` 노드 자체가 지연 평가를 지원하지 않는 경우를 비활성화하고 싶을 때가 있습니다. 만약 자신이 개발한 출력 노드라면 다음과 같이 지연 평가를 추가하면 됩니다: + +1. `enabled`를 위한 필수(새로운 노드인 경우) 또는 선택적(백ward 호환성을 고려하는 경우) 입력을 추가하고 기본값을 `True`로 설정하기 +2. 다른 모든 입력을 지연 처리 입력으로 만들기 +3. `enabled`가 `True`인 경우에만 다른 입력을 평가하기 + +만약 제어할 수 없는 노드라면 `comfy_execution.graph.ExecutionBlocker`를 활용할 수 있습니다. 이 특별한 객체는 어떤 소켓에서도 출력으로 반환될 수 있습니다. `ExecutionBlocker`를 입력으로 받는 모든 노드는 실행을 건너뛰고 해당 `ExecutionBlocker`를 출력으로 반환합니다. + +**특정 이유로 ExecutionBlocker가 앞으로 전파되는 것을 막을 방법은 의도적으로 없습니다.** 만약 이런 방식을 원한다면 실제로는 지연 평가를 사용해야 합니다. + +### 사용법 + +`ExecutionBlocker`를 생성하고 사용하는 방법은 두 가지가 있습니다. + +1. 생성자에 `None`을 전달하여 조용히 실행을 차단하기. 이는 성공적인 실행의 일부로 실행을 차단하는 경우에 유용합니다—예를 들어 출력을 비활성화하는 경우. +```python +def silent_passthrough(self, passthrough, blocked): + if blocked: + return (ExecutionBlocker(None),) + else: + return (passthrough,) +``` + +2. 문자열을 생성자에 전달하여 노드가 해당 객체를 받았을 때 오류 메시지를 표시하도록 하기. 이는 누군가 무의미한 출력을 사용할 경우 의미 있는 오류 메시지를 표시하고 싶을 때 유용합니다—예를 들어, VAE가 포함되지 않은 모델을 로드할 때 `VAE` 출력을 사용하는 경우. + +```python +def load_checkpoint(self, ckpt_name): + ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name) + model, clip, vae = load_checkpoint(ckpt_path) + if vae is None: + # 이 오류는 이후 노드에서 'NoneType'에 속성이 없다는 오류보다 더 유용합니다. + vae = ExecutionBlocker(f"No VAE contained in the loaded model {ckpt_name}") + return (model, clip, vae) +``` \ No newline at end of file diff --git a/ko/custom-nodes/backend/lifecycle.mdx b/ko/custom-nodes/backend/lifecycle.mdx new file mode 100644 index 000000000..eb0cfd3ce --- /dev/null +++ b/ko/custom-nodes/backend/lifecycle.mdx @@ -0,0 +1,38 @@ +--- +title: "라이프사이클" +translationSourceHash: cf134c1a +translationFrom: custom-nodes/backend/lifecycle.mdx +--- + +## Comfy가 맞춤형 노드를 로드하는 방법 + +Comfy가 시작되면, `custom_nodes` 디렉터리를 파이썬 모듈로 스캔하고 이를 로드하려고 시도합니다. +모듈이 `NODE_CLASS_MAPPINGS`를 내보내면, 이는 맞춤형 노드로 처리됩니다. +파이썬 모듈은 `__init__.py` 파일을 포함한 디렉터리입니다. +모듈은 `__init__.py`에 정의된 `__all__` 속성에 나열된 내용을 내보냅니다. + +### __init__.py + +`__init__.py`는 Comfy가 모듈을 가져오려고 할 때 실행됩니다. 모듈이 맞춤형 노드 정의를 포함하고 있다고 인식되려면, `NODE_CLASS_MAPPINGS`를 내보내야 합니다. 만약 그렇게 하고(그리고 가져오기 과정에서 문제가 없다면), 모듈에 정의된 노드들은 Comfy에서 사용 가능해집니다. 코드에 오류가 있으면 Comfy는 계속 진행하지만, 해당 모듈이 로드되지 않았다고 보고합니다. 그러니 파이썬 콘솔을 확인하세요! + +아주 간단한 `__init__.py` 파일은 다음과 같을 것입니다: +```python +from .python_file import MyCustomNode +NODE_CLASS_MAPPINGS = { "My Custom Node" : MyCustomNode } +__all__ = ["NODE_CLASS_MAPPINGS"] +``` + +#### NODE_CLASS_MAPPINGS + +`NODE_CLASS_MAPPINGS`는 맞춤형 노드 이름(Comfy 설치 내에서 고유)을 해당 노드 클래스로 매핑하는 `dict`여야 합니다. + +#### NODE_DISPLAY_NAME_MAPPINGS + +`__init__.py`는 또한 동일한 고유 이름을 노드의 표시 이름으로 매핑하는 `NODE_DISPLAY_NAME_MAPPINGS`를 내보낼 수 있습니다. 만약 `NODE_DISPLAY_NAME_MAPPINGS`가 제공되지 않으면, Comfy는 고유 이름을 표시 이름으로 사용합니다. + +#### WEB_DIRECTORY + +클라이언트 측 코드를 배포하는 경우, 자바스크립트 파일들이 위치할 모듈 상대 경로를 내보내야 합니다. 일반적으로 이러한 파일들을 맞춤형 노드의 하위 디렉터리인 `js`에 두는 것이 관례입니다. +*오직* `.js` 파일만 제공됩니다; `.css`나 다른 유형의 파일은 이런 방식으로 배포할 수 없습니다 + +이전 버전의 Comfy에서는 `__init__.py`를 통해 자바스크립트 파일을 메인 Comfy 웹 하위 디렉터리로 복사해야 했습니다. 아직도 그런 코드를 볼 수 있을 것입니다. 하지만 그럴 필요는 없습니다. \ No newline at end of file diff --git a/ko/custom-nodes/backend/lists.mdx b/ko/custom-nodes/backend/lists.mdx new file mode 100644 index 000000000..d1aa4e9d0 --- /dev/null +++ b/ko/custom-nodes/backend/lists.mdx @@ -0,0 +1,69 @@ +--- +title: "데이터 목록" +translationSourceHash: f93052c0 +translationFrom: custom-nodes/backend/lists.mdx +--- + +## 길이가 1인 처리 + +내부적으로 Comfy 서버는 한 노드에서 다음 노드로 흐르는 데이터를 관련 데이터 유형의 파이썬 `list`로 표현하며, 일반적으로 길이는 1입니다. +일반적인 작동 방식에서는 노드가 출력을 반환할 때 출력 `tuple`의 각 요소가 개별적으로 리스트(길이 1)로 둘러싸입니다. 이후 다음 노드가 호출되면 데이터가 다시 풀려 메인 함수로 전달됩니다. + +일반적으로 이 부분을 신경 쓸 필요가 없습니다. Comfy가 이미 둘러싸고 풀어주는 작업을 해주기 때문입니다. + +이는 배치와 관련된 것이 아닙니다. 예를 들어 잠재값이나 이미지의 배치는 리스트의 *단일 항목*입니다([텐서 데이터 유형](./images_and_masks) 참조) + +## 리스트 처리 + +특정 상황에서는 여러 데이터 인스턴스를 하나의 워크플로우에서 처리하게 되며, 이 경우 내부 데이터는 데이터 인스턴스를 포함한 리스트가 됩니다. 이를테면 VRAM 부족을 피하기 위해 이미지 시리즈를 한 번에 하나씩 처리하거나, 서로 다른 크기의 이미지를 처리하는 경우가 여기에 해당합니다. + +기본적으로 Comfy는 리스트의 값을 순차적으로 처리합니다: +- 입력이 서로 다른 길이의 리스트라면, 짧은 리스트는 마지막 값의 반복으로 채워집니다. +- 메인 메서드는 입력 리스트의 각 값에 대해 한 번씩 호출됩니다. +- 출력은 리스트이며, 각 리스트의 길이는 가장 긴 입력과 동일합니다. + +관련 코드는 `execution.py`의 `map_node_over_list` 메서드에서 확인할 수 있습니다. + +그러나 Comfy가 노드 출력을 길이 1의 리스트로 둘러싸기 때문에, 사용자 정의 노드가 반환하는 `tuple`에 `list`가 포함되어 있으면 해당 `list`도 둘러싸여 하나의 데이터로 취급됩니다. Comfy에게 반환되는 리스트를 둘러싸지 않고 순차적 처리를 위한 데이터 시리즈로 취급하도록 알려주려면, 노드가 클래스 속성 `OUTPUT_IS_LIST`를 제공해야 합니다. 이 속성은 `RETURN_TYPES`와 같은 길이의 `tuple[bool]`이며, 어떤 출력을 그러한 방식으로 처리할지 지정합니다. + +노드는 기본 입력 동작을 재정의해 전체 리스트를 한 번의 호출로 받을 수도 있습니다. 이를 위해서는 클래스 속성 `INPUT_IS_LIST`를 `True`로 설정하면 됩니다. + +다음은 내장 노드의 예시입니다 - `ImageRebatch`는 하나 이상의 이미지 배치(리스트로 받으므로 `INPUT_IS_LIST - True`)를 받아 요청된 크기의 배치로 재배치합니다. + +`INPUT_IS_LIST`는 노드 단위입니다. 모든 입력이 동일한 처리를 받습니다. 따라서 `batch_size` 위젯의 값은 `batch_size[0]`로 가져옵니다. + +```Python + +class ImageRebatch: + @classmethod + def INPUT_TYPES(s): + return {"required": { "images": ("IMAGE",), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}) }} + RETURN_TYPES = ("IMAGE",) + INPUT_IS_LIST = True + OUTPUT_IS_LIST = (True, ) + FUNCTION = "rebatch" + CATEGORY = "image/batch" + + def rebatch(self, images, batch_size): + batch_size = batch_size[0] # 모든 입력이 리스트로 오기 때문에 batch_size는 list[int] + + output_list = [] + all_images = [] + for img in images: # 각 img는 이미지 배치입니다 + for i in range(img.shape[0]): # 각 i는 단일 이미지입니다 + all_images.append(img[i:i+1]) + + for i in range(0, len(all_images), batch_size): # batch_size만큼의 조각을 떼어 각각 새로운 배치로 만듭니다 + output_list.append(torch.cat(all_images[i:i+batch_size], dim=0)) # 이미지 배치의 너비나 높이가 다르면 심각한 오류 발생! + + return (output_list,) +``` + + + + + + + +#### INPUT_IS_LIST \ No newline at end of file diff --git a/ko/custom-nodes/backend/manager.mdx b/ko/custom-nodes/backend/manager.mdx new file mode 100644 index 000000000..7f6746cbf --- /dev/null +++ b/ko/custom-nodes/backend/manager.mdx @@ -0,0 +1,69 @@ +--- +title: "매니저에 게시하기" +translationSourceHash: 285fb4c4 +translationFrom: custom-nodes/backend/manager.mdx +--- + +{/* +설명: "커스텀 노드를 ComfyUI 매니저 데이터베이스에 게시하는 방법을 이해하세요." +*/} + + +{/* +## 커스텀 노드란 무엇인가요? + +Comfy의 큰 장점 중 하나는 노드 기반 접근 방식 덕분에 다양한 방식으로 제공되는 노드들을 연결해 새로운 워크플로우를 개발할 수 있다는 점입니다. 기본 제공 노드들은 광범위한 기능을 제공하지만, 핵심 노드에서 제공되지 않는 기능이 필요하다고 느낄 수도 있습니다. + +커스텀 노드는 커뮤니티에서 개발된 노드들입니다. 이를 통해 새로운 기능을 구현하고 이를 더 넓은 커뮤니티와 공유할 수 있습니다. 커스텀 노드 개발에 관심이 있다면 [여기](/custom-nodes/overview)에서 자세히 읽어보세요. + +## ComfyUI 매니저 + +커스텀 노드를 수동으로 설치할 수도 있지만, 대부분의 사람들은 [ComfyUI 매니저](https://github.com/Comfy-Org/ComfyUI-Manager)를 사용해 설치합니다. **ComfyUI 매니저**는 커스텀 노드와 그 의존성을 설치, 업데이트, 제거하는 일을 처리합니다. 하지만 이는 Comfy 핵심 구성 요소가 아니므로 수동으로 설치해야 합니다. + +### ComfyUI 매니저 설치하기 + +```bash +cd ComfyUI/custom_nodes +git clone https://github.com/Comfy-Org/ComfyUI-Manager.git +``` + +설치 후 Comfy를 다시 시작하세요. 자세한 내용이나 특수 사례는 [ComfyUI 매니저 설치](https://github.com/Comfy-Org/ComfyUI-Manager?tab=readme-ov-file#installation)를 참조하세요. + +*/} + +### ComfyUI 매니저 사용하기 + +커스텀 노드를 **ComfyUI 매니저**를 통해 사용하려면 이를 git 저장소로 저장한 뒤(일반적으로 github.com에 저장), **ComfyUI 매니저** git에 풀 리퀘스트를 제출하여 `custom-node-list.json`을 편집해 노드를 추가해야 합니다. [자세한 내용](https://github.com/Comfy-Org/ComfyUI-Manager?tab=readme-ov-file#how-to-register-your-custom-node-into-comfyui-manager). + +사용자가 노드를 설치하면 **ComfyUI 매니저**는 다음과 같은 과정을 거칩니다: + + + +저장소를 git clone합니다. + + +커스텀 노드 저장소 내의 `requirements.txt`에 나온 pip 의존성을 설치합니다. (있는 경우) +``` +pip install -r requirements.txt +``` +항상 pip의 경우와 마찬가지로, 노드의 요구사항이 다른 커스텀 노드들과 충돌할 수 있습니다. `requirements.txt`를 필요 이상으로 제한적이지 않게 만드세요. + + +커스텀 노드 저장소에 `install.py`가 있으면 이를 실행합니다. +`install.py`는 커스텀 노드의 루트 경로에서 실행됩니다. + + + +### ComfyUI 매니저 파일들 + +위에서 언급했듯이, **ComfyUI 매니저**는 커스텀 노드의 라이프사이클을 관리하기 위해 여러 파일과 스크립트를 사용합니다. 이들은 모두 선택적입니다. + +- `requirements.txt` - 위에서 언급한 Python 의존성 +- `install.py`, `uninstall.py` - 커스텀 노드가 설치되거나 제거될 때 실행됨 +사용자가 디렉터리를 그냥 삭제할 수 있으므로, `uninstall.py`가 반드시 실행된다고 보장할 수 없습니다. +- `disable.py`, `enable.py` - 커스텀 노드가 비활성화되거나 다시 활성화될 때 실행됨 +`enable.py`는 비활성화된 노드가 다시 활성화될 때만 실행됩니다. 이는 `disable.py`에서 한 작업을 되돌리는 것이어야 합니다. +비활성화된 커스텀 노드 하위 디렉터리에는 `.disabled`가 붙으며, Comfy는 이러한 모듈을 무시합니다. +- `node_list.json` - NODE_CLASS_MAPPINGS의 커스텀 노드 패턴이 일반적이지 않은 경우에만 필요합니다. + +공식적인 자세한 내용은 [ComfyUI 매니저 가이드](https://github.com/Comfy-Org/ComfyUI-Manager?tab=readme-ov-file#custom-node-support-guide)를 참조하세요. \ No newline at end of file diff --git a/ko/custom-nodes/backend/more_on_inputs.mdx b/ko/custom-nodes/backend/more_on_inputs.mdx new file mode 100644 index 000000000..d7a084bc1 --- /dev/null +++ b/ko/custom-nodes/backend/more_on_inputs.mdx @@ -0,0 +1,99 @@ +--- +title: "숨겨진 및 유연한 입력" +translationSourceHash: 834fe9b0 +translationFrom: custom-nodes/backend/more_on_inputs.mdx +--- + +## 숨겨진 입력 + +클라이언트 측에서 해당 입력이나 위젯을 생성하는 `required` 및 `optional` 입력과 함께, +커스텀 노드가 서버로부터 특정 정보를 요청할 수 있도록 하는 세 가지 `hidden` 입력 옵션이 있습니다. + +이러한 옵션은 `INPUT_TYPES` 딕셔너리에 `hidden` 값을 반환하여 접근하며, 시그니처는 `dict[str,str]`로, `PROMPT`, `EXTRA_PNGINFO`, 또는 `UNIQUE_ID` 중 하나 이상을 포함합니다. + +```python +@classmethod +def INPUT_TYPES(s): + return { + "required": {...}, + "optional": {...}, + "hidden": { + "unique_id": "UNIQUE_ID", + "prompt": "PROMPT", + "extra_pnginfo": "EXTRA_PNGINFO", + } + } +``` + +### UNIQUE_ID +`UNIQUE_ID`는 노드의 고유 식별자로, 클라이언트 측 노드의 `id` 속성과 일치합니다. 이는 일반적으로 클라이언트-서버 통신에 사용됩니다(참고: [메시지](/development/comfyui-server/comms_messages#getting-node-id)). + +### PROMPT +`PROMPT`는 클라이언트가 서버로 전송하는 전체 프롬프트입니다. 자세한 설명은 [프롬프트 객체](/custom-nodes/js/javascript_objects_and_hijacking#prompt)를 참조하세요. + +### EXTRA_PNGINFO +`EXTRA_PNGINFO`는 저장되는 모든 `.png` 파일의 메타데이터에 복사될 딕셔너리입니다. 커스텀 노드는 이 딕셔너리에 추가 정보를 저장해 저장하거나(또는 다운스트림 노드와 통신하는 방법으로) 사용할 수 있습니다. + +Comfy를 `disable_metadata` 옵션과 함께 시작한 경우, 이 데이터는 저장되지 않습니다. + +### DYNPROMPT +`DYNPROMPT`는 `comfy_execution.graph.DynamicPrompt`의 인스턴스입니다. 이는 `PROMPT`와 달리 실행 과정 중에 [노드 확장](/custom-nodes/backend/expansion)에 따라 변형될 수 있습니다. +`DYNPROMPT`는 고급 사례(예: 커스텀 노드에서 루프 구현)에만 사용해야 합니다. + +## 유연한 입력 + +### 맞춤형 데이터 타입 + +자신의 커스텀 노드 간에 데이터를 전달하려면 맞춤형 데이터 타입을 정의하는 것이 도움이 될 수 있습니다. 이는 데이터 타입의 이름을 선택하는 것만으로도 거의 간단합니다. 데이터 타입의 이름은 대문자로 된 고유한 문자열이어야 하며, 예를 들어 `CHEESE`와 같이 지정할 수 있습니다. + +그런 다음 노드의 `INPUT_TYPES` 및 `RETURN_TYPES`에서 `CHEESE`를 사용할 수 있으며, Comfy 클라이언트는 `CHEESE` 출력만 `CHEESE` 입력에 연결되도록 허용합니다. `CHEESE`는 임의의 파이썬 객체일 수 있습니다. + +유의할 점은 Comfy 클라이언트가 `CHEESE`를 인식하지 못하므로(특수 위젯을 정의하지 않는 한), 이를 위젯이 아닌 입력으로 강제해야 한다는 것입니다. 이는 입력 옵션 딕셔너리의 `forceInput` 옵션을 통해 수행할 수 있습니다: + +```python +@classmethod +def INPUT_TYPES(s): + return { + "required": { "my_cheese": ("CHEESE", {"forceInput":True}) } + } +``` + +### 와일드카드 입력 + +```python +@classmethod +def INPUT_TYPES(s): + return { + "required": { "anything": ("*",{})}, + } + +@classmethod +def VALIDATE_INPUTS(s, input_types): + return True +``` + +프론트엔드에서는 `*`를 사용해 어떤 소스와도 연결 가능한 입력을 표시할 수 있습니다. 이는 백엔드에서 공식적으로 지원되지 않으므로, `VALIDATE_INPUTS` 함수에 `input_types`라는 매개변수를 받아들여 백엔드의 타입 검증을 건너뛸 수 있습니다. (자세한 내용은 [VALIDATE_INPUTS](./server_overview#validate-inputs) 참조.) 노드가 전달된 데이터를 이해하는 것은 노드의 몫입니다. + +### 동적으로 생성된 입력 + +클라이언트 측에서 입력이 동적으로 생성되는 경우, 이를 파이썬 소스 코드에서 정의할 수 없습니다. 이러한 데이터에 접근하려면 Comfy가 임의의 이름으로 데이터를 전달할 수 있도록 하는 `optional` 딕셔너리를 사용해야 합니다. Comfy 서버는 + +```python +class ContainsAnyDict(dict): + def __contains__(self, key): + return True +... + +@classmethod +def INPUT_TYPES(s): + return { + "required": {}, + "optional": ContainsAnyDict() + } +... + +def main_method(self, **kwargs): + # 동적으로 생성된 입력 데이터는 딕셔너리 kwargs에 들어갑니다 + +``` +rgthree님께 이 파이썬 트릭에 대해 감사드립니다! \ No newline at end of file diff --git a/ko/custom-nodes/backend/node-replacement.mdx b/ko/custom-nodes/backend/node-replacement.mdx new file mode 100644 index 000000000..d885b27c9 --- /dev/null +++ b/ko/custom-nodes/backend/node-replacement.mdx @@ -0,0 +1,227 @@ +--- +title: "노드 교체" +description: "사용자가 더 이상 사용되지 않는 노드에서 마이그레이션하도록 노드 교체를 등록하세요" +translationSourceHash: 2f5ad97d +translationFrom: custom-nodes/backend/node-replacement.mdx +--- + +노드 교체 API를 통해 맞춤형 노드 개발자는 더 이상 사용되지 않는 노드에서 최신 equivalent로의 마이그레이션 경로를 정의할 수 있습니다. 노드를 업데이트하거나 이름을 변경하면 사용자가 워크플로우를 자동으로 업그레이드할 수 있습니다. + +## 언제 사용하나요 + +- **노드 클래스 이름 변경**: 노드의 클래스 이름을 변경한 경우 (표시 이름 변경에는 `DISPLAY_NAME`을 사용하세요) +- **노드 병합**: 여러 노드를 하나로 통합한 경우 (예: `Load3DAnimation`을 `Load3D`로 병합) +- **입력 리팩토링**: 입력 이름이나 유형이 버전 간에 변경된 경우 +- **타이포 수정**: 기존 워크플로우를 깨지 않으면서 노드 이름을 수정하는 경우 + +## 교체를 어디에 등록하나요 + +확장 프로그램의 `on_load` 라이프사이클 훅 동안 교체를 등록하세요. 맞춤형 노드 패키지에 전용 파일(예: `node_replacements.py`)을 생성하세요: + +``` +my_custom_nodes/ +├── __init__.py +├── nodes.py +└── node_replacements.py # 여기에 교체를 등록하세요 +``` + +## 전체 예제 + +다음은 맞춤형 노드 패키지에서 노드 교체를 구성하는 방법을 보여주는 전체 예제입니다: + +```python +# node_replacements.py +from comfy_api.latest import ComfyExtension, io, ComfyAPI + +api = ComfyAPI() + + +async def register_my_replacements(): + """이 패키지의 모든 노드 교체를 등록하세요.""" + + # 간단한 이름 변경 - 입력 변경 필요 없음 + await api.node_replacement.register(io.NodeReplace( + new_node_id="MyNewNode", + old_node_id="MyOldNode", + )) + + # 입력 매핑이 포함된 복잡한 교체 + await api.node_replacement.register(io.NodeReplace( + new_node_id="MyImprovedSampler", + old_node_id="MyOldSampler", + old_widget_ids=["steps", "cfg"], + input_mapping=[ + {"new_id": "model", "old_id": "model"}, + {"new_id": "num_steps", "old_id": "steps"}, + {"new_id": "guidance", "old_id": "cfg"}, + {"new_id": "scheduler", "set_value": "normal"}, # 기본값을 가진 새 입력 + ], + output_mapping=[ + {"new_idx": 0, "old_idx": 0}, + ], + )) + + +class MyExtension(ComfyExtension): + async def on_load(self) -> None: + await register_my_replacements() + + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [] # 여기에는 노드를 정의하지 않고 교체만 정의합니다 + + +async def comfy_entrypoint() -> MyExtension: + return MyExtension() +``` + +## 핵심 예제 + +ComfyUI 코어는 내장 노드 마이그레이션을 위해 노드 교체를 사용합니다. 다음은 [`comfy_extras/nodes_replacements.py`](https://github.com/Comfy-Org/ComfyUI/blob/master/comfy_extras/nodes_replacements.py)에서 가져온 실제 예제입니다: + +### 간단한 노드 병합 + +`Load3DAnimation`이 `Load3D`로 병합되었을 때: + +```python +await api.node_replacement.register(io.NodeReplace( + new_node_id="Load3D", + old_node_id="Load3DAnimation", +)) +``` + +### 타이포 수정 + +`SDV_img2vid_Conditioning` → `SVD_img2vid_Conditioning`의 타이포 수정: + +```python +await api.node_replacement.register(io.NodeReplace( + new_node_id="SVD_img2vid_Conditioning", + old_node_id="SDV_img2vid_Conditioning", +)) +``` + +### 기본값을 가진 입력 이름 변경 + +`ImageScaleBy`를 `ResizeImageMaskNode`로 교체: + +```python +await api.node_replacement.register(io.NodeReplace( + new_node_id="ResizeImageMaskNode", + old_node_id="ImageScaleBy", + old_widget_ids=["upscale_method", "scale_by"], + input_mapping=[ + {"new_id": "input", "old_id": "image"}, + {"new_id": "resize_type", "set_value": "scale by multiplier"}, + {"new_id": "resize_type.multiplier", "old_id": "scale_by"}, + {"new_id": "scale_method", "old_id": "upscale_method"}, + ], +)) +``` + +### Autogrow 입력 매핑 + +Autogrow(동적 입력)을 사용하는 노드의 경우 점 표기법을 사용하세요: + +```python +await api.node_replacement.register(io.NodeReplace( + new_node_id="BatchImagesNode", + old_node_id="ImageBatch", + input_mapping=[ + {"new_id": "images.image0", "old_id": "image1"}, + {"new_id": "images.image1", "old_id": "image2"}, + ], +)) +``` + +## NodeReplace 매개변수 + +| 매개변수 | 유형 | 설명 | +|-----------|------|-------------| +| `new_node_id` | str | 교체 노드의 클래스 이름 | +| `old_node_id` | str | 더 이상 사용되지 않는 노드의 클래스 이름 | +| `old_widget_ids` | list[str] \| None | 위젯 ID를 상대 인덱스와 바인딩한 순서 리스트 | +| `input_mapping` | list \| None | 이전 노드에서 새 노드로의 입력 매핑 방법 | +| `output_mapping` | list \| None | 이전 노드에서 새 노드로의 출력 매핑 방법 | + +## 입력 매핑 + +각 입력 매핑 항목은 이전 노드에서 새 노드로 입력이 어떻게 전달되는지를 정의합니다. + +**이전 입력에서 매핑:** +```python +{"new_id": "model", "old_id": "model"} +``` + +**고정 값 설정:** +```python +{"new_id": "scheduler", "set_value": "normal"} +``` + +**동적/autogrow 입력 매핑(점 표기법 사용):** +```python +{"new_id": "images.image0", "old_id": "image1"} +``` + +## 출력 매핑 + +출력 매핑은 인덱스 기반 참조를 사용합니다: + +```python +{"new_idx": 0, "old_idx": 0} # 첫 번째 출력 매핑 +{"new_idx": 1, "old_idx": 0} # 이전 출력 0 -> 새 출력 1 +``` + +## 위젯 ID 바인딩 + +`old_widget_ids` 필드는 위젯 ID를 위치 인덱스와 매핑합니다. 이는 워크플로우 JSON이 위젯 값을 ID가 아닌 위치별로 저장하기 때문에 필요합니다. + +```python +old_widget_ids=["steps", "cfg", "sampler"] +# 위치 0의 위젯 = "steps" +# 위치 1의 위젯 = "cfg" +# 위치 2의 위젯 = "sampler" +``` + +## REST API + +등록된 모든 교체 조회: + +``` +GET /api/node_replacements +``` + +**응답:** +```json +{ + "OldSamplerNode": [ + { + "new_node_id": "NewSamplerNode", + "old_node_id": "OldSamplerNode", + "old_widget_ids": ["num_steps", "cfg_scale", "sampler_name"], + "input_mapping": [ + {"new_id": "model", "old_id": "model"}, + {"new_id": "steps", "old_id": "num_steps"}, + {"new_id": "scheduler", "set_value": "normal"} + ], + "output_mapping": [ + {"new_idx": 0, "old_idx": 0} + ] + } + ] +} +``` + +## 프론트엔드 동작 + +워크플로우에 더 이상 사용되지 않는 노드가 포함되어 있으면 프론트엔드는 다음과 같이 작동합니다: + +1. `GET /api/node_replacements`에서 교체 정보를 가져옵니다. +2. `old_node_id`와 일치하는 노드를 감지합니다. +3. 사용자에게 업그레이드를 요청합니다. +4. 입력/출력 매핑을 자동으로 적용합니다. +5. 연결과 위젯 값을 유지합니다. + +프론트엔드 구현 참고: +- [비즈니스 로직 PR #8364](https://github.com/Comfy-Org/ComfyUI_frontend/pull/8364) +- [추가 로직 PR #8483](https://github.com/Comfy-Org/ComfyUI_frontend/pull/8483) +- [UI 뷰 PR #8604](https://github.com/Comfy-Org/ComfyUI_frontend/pull/8604) \ No newline at end of file diff --git a/ko/custom-nodes/backend/server_overview.mdx b/ko/custom-nodes/backend/server_overview.mdx new file mode 100644 index 000000000..dd58c8c41 --- /dev/null +++ b/ko/custom-nodes/backend/server_overview.mdx @@ -0,0 +1,167 @@ +--- +title: "속성" +description: "맞춤형 노드의 속성" +translationSourceHash: a4e248ba +translationFrom: custom-nodes/backend/server_overview.mdx +--- + +### 간단한 예제 + +다음은 이미지 반전 노드의 코드로, 맞춤형 노드 개발의 핵심 개념을 살펴볼 수 있습니다. + +```python +class InvertImageNode: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { "image_in" : ("IMAGE", {}) }, + } + + RETURN_TYPES = ("IMAGE",) + RETURN_NAMES = ("image_out",) + CATEGORY = "examples" + FUNCTION = "invert" + + def invert(self, image_in): + image_out = 1 - image_in + return (image_out,) +``` + +### 주요 속성 + +모든 맞춤형 노드는 Python 클래스이며, 다음과 같은 주요 속성을 갖습니다: + +#### INPUT_TYPES + +이름에서 알 수 있듯이 `INPUT_TYPES`는 노드의 입력을 정의합니다. 이 메서드는 반드시 `required` 키를 포함한 `dict`를 반환하며, `optional` 및/또는 `hidden` 키도 포함할 수 있습니다. `required`와 `optional` 입력의 유일한 차이점은 `optional` 입력은 연결되지 않은 채로 둘 수 있다는 것입니다. `hidden` 입력에 대한 자세한 내용은 [숨겨진 입력](./more_on_inputs#hidden-inputs)을 참조하세요. + +각 키의 값으로는 또 다른 `dict`가 있으며, 여기서 키-값 쌍은 입력의 이름과 유형을 지정합니다. 유형은 `tuple`로 정의되며, 첫 번째 요소는 데이터 유형을, 두 번째 요소는 추가 매개변수의 `dict`입니다. + +여기서는 `image_in`이라는 이름의 필수 입력 하나만 있고, 유형은 `IMAGE`이며 추가 매개변수는 없습니다. + +다음 몇 가지 속성과 달리, 이 `INPUT_TYPES`는 `@classmethod`입니다. 이렇게 하면 드롭다운 위젯의 옵션들(예를 들어 로드할 체크포인트의 이름)을 Comfy가 실행 시점에 계산할 수 있도록 합니다. 이에 대해서는 나중에 더 자세히 설명하겠습니다. {/* TODO link when written */} + +#### RETURN_TYPES + +노드가 반환하는 데이터 유형을 정의하는 `str`의 `tuple`. 노드에 출력이 없더라도 이는 반드시 제공되어야 합니다. `RETURN_TYPES = ()` +출력이 딱 하나인 경우, 뒤에 쉼표를 기억하세요: `RETURN_TYPES = ("IMAGE",)`. 이는 Python이 이를 `tuple`로 인식하도록 하기 위해 필요합니다. + +#### RETURN_NAMES + +출력을 레이블링하는 데 사용될 이름들입니다. 선택사항이며, 생략하면 이름은 단순히 `RETURN_TYPES`를 소문자로 바꾼 것입니다. + +#### CATEGORY + +ComfyUI **노드 추가** 메뉴에서 노드를 찾을 수 있는 위치입니다. 하위 메뉴는 경로로 지정할 수 있으며, 예를 들어 `examples/trivial`처럼 가능합니다. + +#### FUNCTION + +노드가 실행될 때 호출해야 하는 클래스 내 Python 함수의 이름입니다. + +함수는 명명된 인수로 호출됩니다. 모든 `required`(및 `hidden`) 입력이 포함되며, `optional` 입력은 연결된 경우에만 포함되므로 함수 정의에서 기본값을 제공하거나 `**kwargs`로 포착해야 합니다. + +함수는 `RETURN_TYPES`에 해당하는 튜플을 반환합니다. 아무것도 반환하지 않아도 이는 반드시 필요합니다(`return ()`). 다시 한번 말씀드리지만, 출력이 하나뿐인 경우 뒤에 쉼표를 기억하세요: `return (image_out,)`! + +### 실행 제어 추가 기능 + +Comfy의 훌륭한 기능 중 하나는 출력을 캐시하고, 이전 실행과 다른 결과를 낼 수 있는 노드만 실행한다는 점입니다. 이는 많은 워크플로우를 크게 가속화할 수 있습니다. + +본질적으로 이는 어떤 노드가 출력을 생성하는지 식별하고(특히 이미지 미리보기 및 이미지 저장 노드는 항상 실행됨), 이후 역방향으로 작업하여 마지막 실행 이후 변경되었을 수 있는 데이터를 제공하는 노드를 식별합니다. + +맞춤형 노드의 두 가지 선택적 기능이 이 과정을 돕습니다. + +#### OUTPUT_NODE + +기본적으로 노드는 출력으로 간주되지 않습니다. `OUTPUT_NODE = True`로 설정하면 출력임을 명시할 수 있습니다. + +#### IS_CHANGED + +기본적으로 Comfy는 노드의 입력이나 위젯이 변경되면 노드가 변경되었다고 간주합니다. 일반적으로 이는 정확하지만, 예를 들어 노드가 난수를 사용하거나(시드를 지정하지 않는 것이 좋으며, 이 경우 사용자가 재현성을 제어하고 불필요한 실행을 피할 수 있도록 시드 입력을 제공하는 것이 좋습니다), 외부에서 변경될 수 있는 입력을 로드하거나, 때때로 입력을 무시하는 경우(그래서 입력이 변경되었다고 해서 실행할 필요가 없는 경우) 이 기능을 오버라이드해야 할 수 있습니다. + +이름에도 불구하고, IS_CHANGED는 `bool`을 반환해서는 안 됩니다 + +`IS_CHANGED`는 `FUNCTION`에 의해 정의된 메인 함수와 동일한 인수를 전달받으며, 임의의 Python 객체를 반환할 수 있습니다. 이 객체는 이전 실행에서 반환된 것과 비교되며, `is_changed != is_changed_old`인 경우 노드가 변경된 것으로 간주됩니다(이 코드는 `execution.py`에 있으니 필요하다면 확인해 보세요). + +`True == True`이므로, 변경되었다고 `True`를 반환하는 노드는 변경되지 않은 것으로 간주됩니다! 이는 Comfy 코드를 변경하면 기존 노드가 깨질 수 있기 때문에 그렇게 되지 않을 거라 확신합니다. + +노드가 항상 변경된 것으로 간주되도록 지정하려면(가능하면 피해야 함, Comfy가 실행할 내용을 최적화하는 것을 막기 때문), `return float("NaN")`을 반환하세요. 이는 `NaN` 값을 반환하며, 이는 다른 `NaN`과도 같지 않습니다. + +실제로 변경 여부를 확인하는 좋은 예는 내장된 LoadImage 노드의 코드로, 이미지를 로드하고 해시를 반환합니다. +```python + @classmethod + def IS_CHANGED(s, image): + image_path = folder_paths.get_annotated_filepath(image) + m = hashlib.sha256() + with open(image_path, 'rb') as f: + m.update(f.read()) + return m.digest().hex() +``` + +#### SEARCH_ALIASES + +선택사항. 사용자가 이 노드를 찾을 때 검색할 수 있는 대체 이름 목록입니다. 이는 `/object_info` API 응답에서 `search_aliases`로 포함됩니다. + +```python +SEARCH_ALIASES = ["text concat", "join text", "merge strings"] +``` + +### 기타 속성 + +노드의 기본 Comfy 처리를 수정하는 데 사용할 수 있는 세 가지 속성이 더 있습니다. + +#### INPUT_IS_LIST, OUTPUT_IS_LIST + +이들은 데이터의 순차적 처리를 제어하는 데 사용되며, [나중에](./lists) 설명됩니다. + +### VALIDATE_INPUTS + +클래스 메서드 `VALIDATE_INPUTS`가 정의되면 워크플로우가 실행되기 전에 호출됩니다. `VALIDATE_INPUTS`는 입력이 유효한 경우 `True`를 반환하거나, 오류를 설명하는 메시지(문자열 형태)를 반환해야 합니다(이 경우 실행이 방지됩니다). + +#### 상수 검증 +`VALIDATE_INPUTS`는 워크플로우 내에서 상수로 정의된 입력만 받습니다. 다른 노드로부터 받는 입력은 `VALIDATE_INPUTS`에서 사용할 수 없습니다. + +`VALIDATE_INPUTS`는 서명이 요청하는 입력만 받습니다(즉, `inspect.getfullargspec(obj_class.VALIDATE_INPUTS).args`에서 반환된 입력). 이런 방식으로 받는 입력은 기본 검증 규칙을 통과하지 않습니다. 예를 들어 다음 코드 조각에서는 프론트엔드가 `foo` 입력의 지정된 `min` 및 `max` 값을 사용하지만 백엔드는 이를 강제하지 않습니다. + +```python +class CustomNode: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { "foo" : ("INT", {"min": 0, "max": 10}) }, + } + + @classmethod + def VALIDATE_INPUTS(cls, foo): + # YOLO, 무엇이든 가능! + return True +``` + +또한, 함수가 `**kwargs` 입력을 받는 경우, 가능한 모든 입력을 받게 되며, 이 모든 입력은 명시적으로 지정된 것처럼 검증을 건너뜁니다. + +#### 유형 검증 + +`VALIDATE_INPUTS` 메서드가 `input_types`라는 이름의 인수를 받으면, 각 입력의 이름이 다른 노드의 출력과 연결된 상태에서 그 출력의 유형을 나타내는 딕셔널이 전달됩니다. + +이 인수가 존재하면 기본 입력 유형 검증은 모두 건너뜁니다. 다음은 프론트엔드가 여러 유형을 지정할 수 있다는 사실을 활용한 예시입니다: + +```python +class AddNumbers: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "input1" : ("INT,FLOAT", {"min": 0, "max": 1000}) + "input2" : ("INT,FLOAT", {"min": 0, "max": 1000}) + }, + } + + @classmethod + def VALIDATE_INPUTS(cls, input_types): + # input1과 input2의 min과 max는 여전히 검증됩니다 + # 우리는 input1과 input2를 인수로 받지 않았기 때문입니다 + if input_types["input1"] not in ("INT", "FLOAT"): + return "input1은 INT 또는 FLOAT 유형이어야 합니다" + if input_types["input2"] not in ("INT", "FLOAT"): + return "input2은 INT 또는 FLOAT 유형이어야 합니다" + return True +``` \ No newline at end of file diff --git a/ko/custom-nodes/backend/snippets.mdx b/ko/custom-nodes/backend/snippets.mdx new file mode 100644 index 000000000..7cc479d65 --- /dev/null +++ b/ko/custom-nodes/backend/snippets.mdx @@ -0,0 +1,90 @@ +--- +title: "주석이 달린 예제" +translationSourceHash: 26b1572f +translationFrom: custom-nodes/backend/snippets.mdx +--- + +예제 코드 조각의 점점 커지는 모음... + +## 이미지와 마스크 + +### 이미지 로드하기 + +`nodes.py`의 `LoadImage` 소스 코드를 기반으로 크기가 1인 배치에 이미지를 로드합니다. +```python +i = Image.open(image_path) +i = ImageOps.exif_transpose(i) +if i.mode == 'I': + i = i.point(lambda i: i * (1 / 255)) +image = i.convert("RGB") +image = np.array(image).astype(np.float32) / 255.0 +image = torch.from_numpy(image)[None,] +``` + +### 이미지 배치 저장하기 + +`nodes.py`의 `SaveImage` 소스 코드를 기반으로 이미지 배치를 저장합니다. +```python +for (batch_number, image) in enumerate(images): + i = 255. * image.cpu().numpy() + img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8)) + filepath = # 배치 번호를 고려한 경로 + img.save(filepath) +``` + +### 마스크 반전하기 + +마스크를 반전하는 과정은 간단합니다. 마스크는 범위 [0,1]로 정규화되어 있으므로: + +```python +mask = 1.0 - mask +``` + +### 마스크를 이미지 형태로 변환하기 + +```python +# 우리는 [B,H,W,C] 형태를 원하며, 여기서 C=1입니다. +if len(mask.shape)==2: # [H,W] 형태이므로 B와 C를 차원 1로 삽입합니다. + mask = mask[None,:,:,None] +elif len(mask.shape)==3 and mask.shape[2]==1: # [H,W,C] 형태이므로 + mask = mask[None,:,:,:] +elif len(mask.shape)==3: # [B,H,W] 형태이므로 + mask = mask[:,:,:,None] +``` + +### 마스크를 투명도 레이어로 사용하기 + +인페인팅이나 세그멘테이션과 같은 작업에 마스크를 사용할 때, 마스크 값은 결국 가장 가까운 정수로 반올림되어 이진값 — 0은 무시할 영역을 나타내고 1은 타겟 영역을 나타냅니다 — 으로 변환됩니다. 하지만 이는 마스크가 해당 노드에 전달된 이후에야 발생합니다. 이러한 유연성 덕분에 마스크를 디지털 사진 촬영에서처럼 투명도 레이어로 활용할 수 있습니다. + +```python +# 마스크를 원래의 투명도 레이어로 다시 반전합니다. +mask = 1.0 - mask + +# C(채널) 차원을 확장합니다. +mask = mask.unsqueeze(-1) + +# C 차원을 따라 연결합니다. +rgba_image = torch.cat((rgb_image, mask), dim=-1) +``` + +## 노이즈 + +### 노이즈 변형 생성하기 + +다음은 두 소스의 노이즈를 혼합하는 노이즈 객체를 만드는 예제입니다. `weight2`를 변화시켜 약간씩 다른 노이즈 변형을 만들 수 있습니다. + +```python +class Noise_MixedNoise: + def __init__(self, noise1, noise2, weight2): + self.noise1 = noise1 + self.noise2 = noise2 + self.weight2 = weight2 + + @property + def seed(self): return self.noise1.seed + + def generate_noise(self, input_latent:torch.Tensor) -> torch.Tensor: + noise1 = self.noise1.generate_noise(input_latent) + noise2 = self.noise2.generate_noise(input_latent) + return noise1 * (1.0-self.weight2) + noise2 * (self.weight2) +``` \ No newline at end of file diff --git a/ko/custom-nodes/backend/tensors.mdx b/ko/custom-nodes/backend/tensors.mdx new file mode 100644 index 000000000..99d254e00 --- /dev/null +++ b/ko/custom-nodes/backend/tensors.mdx @@ -0,0 +1,92 @@ +--- +title: "torch.Tensor와 함께 작업하기" +translationSourceHash: 69d86d62 +translationFrom: custom-nodes/backend/tensors.mdx +--- + +## 파이토치, 텐서, 그리고 torch.Tensor + +Comfy의 핵심적인 수치 계산은 모두 [파이토치](https://pytorch.org/)에서 수행됩니다. 사용자 정의 노드를 통해 안정적인 확산의 내부로 들어가려면 이 라이브러리에 익숙해져야 하며, 이는 이번 소개의 범위를 훨씬 넘어서는 내용입니다. + +그러나 많은 사용자 정의 노드에서는 이미지, 잠재 변수 및 마스크를 조작해야 하며, 이들 각각은 내부적으로 `torch.Tensor`로 표현됩니다. 따라서 [torch.Tensor의 문서](https://pytorch.org/docs/stable/tensors.html)를 즐겨찾기 해두시는 것이 좋습니다. + +### 텐서란 무엇인가요? + +`torch.Tensor`는 텐서를 나타내며, 이는 벡터나 행렬을 임의의 차원으로 일반화한 수학적 개념입니다. 텐서의 _랭크_는 가진 차원의 개수를 의미하며(벡터는 _랭크_ 1, 행렬은 _랭크_ 2), _셰이프_는 각 차원의 크기를 설명합니다. + +예를 들어 RGB 이미지(H 높이, W 너비)는 각 색상 채널별로 H×W 크기의 배열 세 개로 생각할 수 있으며, 이를 _셰이프_ `[H,W,3]`의 텐서로 표현할 수 있습니다. Comfy에서 이미지는 거의 항상 배치 형태로 제공됩니다(단일 이미지만 포함하는 배치도 포함). torch는 항상 배치 차원을 맨 앞에 두므로 Comfy 이미지는 _셰이프_ `[B,H,W,3]`를 가지며, 일반적으로 `[B,H,W,C]`로 표기되며 여기서 C는 채널을 의미합니다. + +### squeeze, unsqueeze, 그리고 reshape + +텐서의 차원 중 하나가 크기가 1인 경우(축소된 차원이라 함), 이는 해당 차원을 제거한 것과 동등합니다(1개의 이미지를 가진 배치는 단순히 이미지임). 이러한 축소된 차원을 제거하는 것을 스queeze라고 하며, 추가하는 것을 unsqueeze라고 합니다. + + 일부 torch 코드와 일부 사용자 정의 노드 작성자는 차원이 축소되면 스queeze된 텐서를 반환합니다—예를 들어 배치에 구성원이 하나만 있을 때 그렇습니다. 이는 버그의 흔한 원인이 됩니다! + +같은 데이터를 다른 형태로 표현하는 것을 reshaping이라고 합니다. 이 과정에서는 종종 기본 데이터 구조를 알아야 하므로 주의해서 다루세요! + +### 중요한 표기법 + +`torch.Tensor`는 대부분의 파이썬 슬라이스 표기법, 반복문, 기타 일반적인 리스트와 유사한 연산을 지원합니다. 또한 텐서에는 `.shape` 속성이 있어 크기를 `torch.Size`로 반환하며, 이는 `tuple`의 하위 클래스이며 그대로 취급할 수 있습니다. + +다른 몇 가지 중요한 표기법도 자주 보게 될 것입니다(이 중 일부는 덜 일반적인 표준 파이썬 표기법이며, 텐서를 다룰 때 훨씬 더 자주 볼 수 있습니다). + +- `torch.Tensor`는 슬라이스 표기법에서 `None`을 사용해 크기가 1인 차원을 삽입하는 것을 지원합니다. + +- `:`는 텐서를 슬라이싱할 때 자주 사용되며, 이는 단순히 '전체 차원을 유지'한다는 의미입니다. 파이썬에서 `a[start:end]`를 사용하는 것과 같으나 시작점과 끝점을 생략한 것입니다. + +- `...`는 '미지정된 차원 전체'를 나타냅니다. 따라서 `a[0, ...]`는 차원의 개수에 관계없이 배치의 첫 번째 항목을 추출합니다. + +- 모양을 전달해야 하는 메서드에서는 종종 차원들의 `tuple`로 전달되며, 여기서 단일 차원에 `-1`을 지정하면 해당 차원의 크기가 데이터 전체 크기에 기반해 계산됨을 나타냅니다. + +```python +>>> a = torch.Tensor((1,2)) +>>> a.shape +torch.Size([2]) +>>> a[:,None].shape +torch.Size([2, 1]) +>>> a.reshape((1,-1)).shape +torch.Size([1, 2]) +``` + +### 요소별 연산 + +`torch.Tensor`에서의 많은 이항 연산(예: '+', '-', '*', '/', '==')은 요소별로 적용됩니다(각 요소에 독립적으로 적용됨). 피연산자는 _둘 다_ 같은 형태의 텐서이거나, 텐서와 스칼라여야 합니다. 예를 들면: + +```python +>>> import torch +>>> a = torch.Tensor((1,2)) +>>> b = torch.Tensor((3,2)) +>>> a*b +tensor([3., 4.]) +>>> a/b +tensor([0.3333, 1.0000]) +>>> a==b +tensor([False, True]) +>>> a==1 +tensor([ True, False]) +>>> c = torch.Tensor((3,2,1)) +>>> a==c +Traceback (most recent call last): + File "", line 1, in +RuntimeError: The size of tensor a (2) must match the size of tensor b (3) at non-singleton dimension 0 +``` + +### 텐서의 참/거짓 값 + + 텐서의 '참/거짓 값'은 파이썬 리스트의 그것과 같지 않습니다. + +파이썬 리스트의 참/거짓 값은 비어 있지 않은 리스트라면 `True`, `None`이나 `[]`라면 `False`인 것에 익숙하실 겁니다. 반면에 `torch.Tensor`(하나 이상의 요소를 가진)는 정의된 참/거짓 값을 가지지 않습니다. 대신 `.all()`이나 `.any()`를 사용해 요소별 참/거짓 값을 결합해야 합니다: + +```python +>>> a = torch.Tensor((1,2)) +>>> print("yes" if a else "no") +Traceback (most recent call last): + File "", line 1, in +RuntimeError: Boolean value of Tensor with more than one value is ambiguous +>>> a.all() +tensor(False) +>>> a.any() +tensor(True) +``` + +이는 또한 텐서 변수가 설정되었는지 확인하려면 `if a:`가 아니라 `if a is not None:`을 사용해야 한다는 것을 의미합니다. \ No newline at end of file diff --git a/ko/custom-nodes/help_page.mdx b/ko/custom-nodes/help_page.mdx new file mode 100644 index 000000000..ceb092125 --- /dev/null +++ b/ko/custom-nodes/help_page.mdx @@ -0,0 +1,72 @@ +--- +title: "ComfyUI 맞춤형 노드에 노드 문서 추가하기" +sidebarTitle: "노드 문서" +description: "맞춤형 노드에 풍부한 문서를 생성하는 방법" +translationSourceHash: 4c3c0517 +translationFrom: custom-nodes/help_page.mdx +--- + +## 마크다운을 이용한 노드 문서 작성 + +맞춤형 노드는 일반적인 노드 설명 대신 UI에 표시될 풍부한 마크다운 형식의 문서를 포함할 수 있습니다. 이를 통해 사용자들은 노드의 기능, 매개변수 및 사용 예제에 대한 상세한 정보를 얻을 수 있습니다. + +노드 정의에서 이미 각 매개변수에 대한 도구팁을 추가했다면, 이 기본 정보는 노드 문서 패널을 통해 바로 접근할 수 있습니다. + +추가적인 노드 문서를 별도로 추가할 필요가 없으며, [ContextWindowsManualNode](https://github.com/Comfy-Org/ComfyUI/blob/master/comfy_extras/nodes_context_windows.py#L7)의 관련 구현을 참고하시기 바랍니다. + +## 설정 + +맞춤형 노드 또는 다국어 지원 문서를 추가하려면: + +1. `WEB_DIRECTORY` 내부에 `docs` 폴더를 생성하세요. +2. 노드 이름을 따서 마크다운 파일을 추가하세요(노드 이름은 노드를 등록하는 데 사용되는 `NODE_CLASS_MAPPINGS` 딕셔너리의 키입니다): + - `WEB_DIRECTORY/docs/노드이름.md` - 기본 문서 + - `WEB_DIRECTORY/docs/노드이름/en.md` - 영어 문서 + - `WEB_DIRECTORY/docs/노드이름/zh.md` - 중국어 문서 + - 필요한 경우 다른 지역 언어도 추가하세요(예: `fr.md`, `de.md` 등) + +시스템은 사용자의 지역 설정에 따라 적절한 문서를 자동으로 로드하며, 현지화된 버전이 없을 경우 기본 문서인 `노드이름.md`로 돌아갑니다. + +## 지원되는 마크다운 기능 + +- 표준 마크다운 문법(제목, 목록, 코드 블록 등) +- 마크다운 문법을 사용한 이미지: `![대체 텍스트](이미지.png)` +- 특정 속성을 가진 HTML 미디어 요소: + - `