Runcomfy Comスキル

Generate, inpaint, and outpaint music with ACE Step on RunComfy via the `runcomfy` CLI. ACE Step is StepFun-AI's open-weights music foundation model — tag-driven composition (genre, mood, instruments), multilingual lyrics with section markers, 5 s to 4 min stereo output, $0.0002–0.0003 per second (≈ 27× cheaper than ElevenLabs Music). Four endpoints: ACE Step text-to-audio (the default), ACE Step 1.5 text-to-audio (50+ language lyrics, refined structured-lyric handling), ACE Step...

We need to translate the given English text into Japanese, preserving the specified name "ai-avatar-video" and other technical terms. The instruction says: "Translate only the text inside <text>. Do not include the name unless it appears in the source text." The name "ai-avatar-video" does not appear in the source text, so we don't include it. We must preserve product names, protocol names, URLs, numbers, technical terms. No extra commentary. The text describes creating AI avatar videos using runcomfy CLI, listing models: ByteDance OmniHuman, Wan-AI Wan 2-7, HappyHorse 1.0, Seedance v2 Pro. Also mentions user intents. We need to translate naturally into Japanese, keeping terms like "runcomfy CLI", "ByteDance OmniHuman", "Wan-AI Wan 2-7", "HappyHorse 1.0", "Seedance v2 Pro", "audio_url", "Arena #1 t2v / i2v", "U

Generate and edit images on RunComfy via the `runcomfy` CLI — a smart router across the full image-model catalog: FLUX 2 (Klein 9B/4B, Pro, Dev, Flash, Turbo, Max), Google Nano Banana 2 / Pro, OpenAI GPT Image 2, ByteDance Seedream 5 / 4-5 / 4-0 and Dreamina 4-0, Alibaba Qwen Image and Z-Image Turbo, Wan 2-7. Covers both text-to-image (t2i) and image-to-image / edit (i2i) endpoints — the skill picks the right model for the user's actual intent (typography precision, photoreal portraits,...

Generate AI music on RunComfy via the `runcomfy` CLI — a smart router across the music-model catalog. Routes to ElevenLabs AI Music Generation (premium 44.1 kHz stereo vocal tracks, 5 s–5 min, $0.0083/s) and ACE Step / ACE Step 1.5 (StepFun-AI open-weights, tag-driven composition, multilingual lyrics, $0.0002–0.0003/s, ~27× cheaper), plus ACE Step audio-inpaint (regenerate a time range inside an existing track) and ACE Step audio-outpaint (extend a track before or after). Picks the right...

Generate AI videos on RunComfy via the `runcomfy` CLI — a smart router across the full video-model catalog: HappyHorse 1.0 (Arena #1, native in-pass audio), Wan-AI Wan 2-7 (open weights, audio-driven lip-sync), ByteDance Seedance v2 / 1-5 / 1-0 (multi-modal cinematic), Kling 3.0 / 2-6, Google Veo 3-1, MiniMax Hailuo 2-3, ByteDance Dreamina 3-0. Covers text-to-video (t2v), image-to-video (i2v), and Veo's video-extend endpoint. The skill picks the right model for the user's intent (Arena-#1...

We need to translate the given text from English to Japanese. The text describes a "Codex Pet generator" skill on RunComfy. It explains how to build a Codex-compatible spritesheet and JSON from a reference image, and where to place it. It mentions the exact specifications: 1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states. It also mentions calling OpenAI GPT Image 2. We must preserve product names, protocol names, URLs, numbers, technical terms. Do not add any extra commentary or labels. The target language is Japanese. The directory item type is "agent skill", but we only translate the text inside <text>. The name "codex-pet" is given but we should not include it unless it appears in the source text. The source text does not include "codex-pet" explicitly; it says "Codex Pet generator" and "Codex Pet". So we translate those as proper nouns? "Codex Pet" is a product name,

Pose-conditioned generation on RunComfy via the `runcomfy` CLI. Routes across Kling 2-6 Motion Control Pro / Standard (transfer the motion / blocking of a reference video onto a target character), community Wan 2-2 Animate (audio-driven character animation with pose conditioning), and Z-Image Turbo ControlNet LoRA (pose-conditioned image generation from an OpenPose / DWPose / canny / depth control image). Picks the right route based on video vs still and stylized vs photoreal. Triggers on...

Generate full songs and instrumental tracks with ElevenLabs Music on RunComfy via the `runcomfy` CLI. ElevenLabs Music turns a style description plus structured lyrics into studio-quality 44.1 kHz stereo audio — 5 seconds to 5 minutes — with section-level control (Intro / Verse / Chorus / Bridge), multilingual vocals, and commercial-friendly output. Generate a backing track, a full vocal song, a jingle, a podcast intro, a game loop, or an instrumental bed. Calls `runcomfy run...

Swap a face / character into video or images on RunComfy via the `runcomfy` CLI. Routes across community Wan 2-2 Animate (audio-driven character animation + identity swap), GPT Image 2 Edit (single-shot precise face swap on still images via reference composition), Nano Banana Edit (batch identity-preserving swap), Flux Kontext (single-ref high-fidelity local face edit), and Kling 2-6 Motion Control Pro (transfer motion from one performance onto a target character). Picks the right model for...

RunComfy上でFlux 2 Klein（Black Forest Labs製のFlux 2高速蒸留版）を使用して画像を生成します。このスキルには、モデルのドキュメント化されたプロンプトパターンがバンドルされており、同じモデルに対する単純なプロンプトよりもシャープな出力が得られます。Flux 2 Kleinの強み（サブ秒レイテンシ、マルチリファレンスブランドスタイリング、宣言的主語優先プロンプト）、ステップ数戦略（高速反復は4～8、仕上げは約25）、9Bと4Bバリアントのトレードオフ、Flux 2 Proへのルーティングのタイミングなどを解説しています。

RunComfy上でFlux 1 Kontext Pro（Black Forest Labsの高精度ローカル画像編集モデル）を使用して画像を編集します。このスキルには、モデルのドキュメント化されたプロンプトパターンがバンドルされており、同じモデルを単純にプロンプトするよりもシャープな出力が得られます。Flux Kontextの強み（単一参照による高精度ローカル編集、強力なプロンプト制御、一貫した高忠実度出力）、スキーマ（単一画像＋プロンプト）、およびNano Banana Edit / GPT Image 2 edit / Flux 2 Kleinにルーティングするタイミングを文書化しています。呼び出し...

RunComfy上でOpenAI GPT Image 2（ChatGPT Images 2.0）を使用して画像の生成と編集を行います。GPT Image 2の強み（埋め込みテキスト、ロゴ、多言語タイポグラフィ、指示の正確さ）、3つの固定サイズ、保存を維持する編集用言語、および代わりに兄弟機能（Flux 2 / Nano Banana Pro / Seedream）にルーティングするタイミング

Edit images with OpenAI GPT Image 2 (the `/edit` endpoint of ChatGPT Images 2.0) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents GPT Image Edit's strengths (preservation language, multilingual in-image text editing, multi-reference up to 10 images, layout / typography precision), the schema, and when to route to Nano Banana Edit / Flux Kontext / GPT Image 2 t2i instead. Calls...

RunComfyでHappyHorse 1.0を使用してテキストから動画を生成します。HappyHorse 1.0の強み（Artificial Analysis Video Arenaで第1位、ネイティブ1080pと同期オーディオ、マルチショットのキャラクター一貫性

RunComfy上で画像を編集します。このスキルは、ユーザーの意図に合った編集モデルをRunComfyカタログから選択するスマートルーターです。Nano Banana Edit（最大20枚のバッチ処理、デフォルトで同一性保持）、OpenAI GPT Image 2 Edit（多言語対応の画像内テキスト書き換え、マルチリファレンス合成、レイアウト精度）、Flux Kontext Pro（単一リファレンスの高忠実度ローカル編集）、またはZ-Image Turbo Inpaint（マスク駆動の精密領域編集）を選択します。各モデルの文書化されたプロンプトパターンをバンドルしているため、スキルは…

Mask-driven image inpainting on RunComfy via the `runcomfy` CLI. Routes to Tongyi MAI Z-Image Turbo Inpainting (the dedicated inpainting endpoint with mask, strength, and control-scale) and to identity-preserving edit models (Nano Banana 2 Edit, GPT Image 2 Edit, FLUX Kontext Pro) when a mask isn't available and the region must be described instead. Use for object removal, watermark removal, region replacement, blemish cleanup, and any controlled local edit where a binary mask defines the...

We need to translate the given text from English to Japanese, preserving the specified name "image-outpainting" and other technical terms. The instruction says: "Do not include the name unless it appears in the source text." The name "image-outpainting" appears in the source text? Actually, the source text starts with "Image outpainting on RunComfy..." so "image-outpainting" is not explicitly written as a name; it's "Image outpainting". But the instruction says "Name to preserve: image-outpainting". So we should preserve that exact string if it appears. In the source, it's "Image outpainting" (capital I, space). But the name to preserve is "image-outpainting" (lowercase, hyphen). The instruction says "Do not include the name unless it appears in the source text." Since the source text has "Image outpainting" (without hyphen, capital I), we should not force the hyphenated version. However, the instruction says "Name to preserve: image-outpainting" meaning

We need to translate the given English text into Japanese, preserving the name "image-to-video" and other technical terms like model names, URLs, etc. The instruction says: "Do not include the name unless it appears in the source text." The name "image-to-video" appears in the source? Actually, the source text starts with "Animate any still image on RunComfy — this skill is a smart router..." The name "image-to-video" is not explicitly in the source text; it's given as the directory item name. The instruction says "Do not include the name unless it appears in the source text." So we should not add "image-to-video" to the translation. Also, preserve product names: RunComfy, HappyHorse 1.0 I2V, Wan 2.7, Seedance 2.0 Pro, etc. Preserve technical terms: i2v, audio_url, lip-sync, multi-modal, etc. Translate the rest naturally into Japanese. Let's break down the text: "Animate

RunComfy上でのKling 3.0動画生成。Kling 3.0（Kling V3.0とも呼ばれる）は、快手科技の第3世代マルチショット動画モデルで、ネイティブ同期オーディオとショット間で一貫したキャラクター同一性を備えています。このスキルは、3つのレンダリングティア（Standard、Pro、4K）と2つのモード（テキストから動画、画像から動画）にわたる、全6つのKling 3.0エンドポイントをカバーします。ローカルのRunComfy CLIを通じて、runcomfy run kling/kling-3.0/ / を呼び出します。"kling"、"kling 3.0"、"kling v3"、"kling pro"などでトリガーされます。

Lip-sync a face to a specific audio track on RunComfy via the `runcomfy` CLI. Routes across ByteDance OmniHuman (audio-driven full-body avatar from a portrait + audio), Sync Labs sync v2 / Pro (state-of-the-art mouth sync onto a video), Kling lipsync (audio-to- video and text-to-video with synced speech), and Creatify lipsync. The skill picks the right endpoint for the user's actual intent — portrait still + audio (avatar-style), source video + audio (mouth- swap on existing footage), or...

Google Nano Banana 2（Geminiファミリーのフラッシュ層テキスト画像生成）を使用してRunComfy上で画像を生成します。このスキルにはモデルの文書化されたプロンプトパターンがバンドルされており、同じモデルに対する単純なプロンプトよりもシャープな出力が得られます。Nano Banana 2の強み（迅速な反復、画像内のタイポグラフィレンダリング、予測可能なフレーミング、オプションのウェブ基盤コンテキスト）、解像度別の価格設定、セーフティトレランスダイヤル、そしてNano Banana Pro / GPT Image 2 / Flux 2 / Seedreamに切り替えるタイミングについて説明します。

We need to translate the given English text into Japanese, preserving the name "nano-banana-edit" and other technical terms. The instruction says: "Translate only the text inside <text>. Do not include the name unless it appears in the source text." The name "nano-banana-edit" appears in the source text? Actually, the source text mentions "Nano Banana Edit" and "nano banana edit" but not exactly "nano-banana-edit". However, the directory item type is "agent skill" and the name to preserve is "nano-banana-edit". The instruction says "Do not include the name unless it appears in the source text." So we should not add it if not present. But the source text has "Nano Banana Edit" (capitalized) and "nano banana edit" (lowercase). We should preserve those as they appear. Also preserve "RunComfy", "Google Nano Banana 2", "GPT Image 2 edit", "Flux Kontext", "Nano Banana 2 t2

Relight a still image — change the lighting setup, color temperature, direction, or mood — on RunComfy via the `runcomfy` CLI. Routes to Qwen Edit 2509's dedicated `relight` LoRA endpoint for purpose-built relighting, with fallback to identity-preserving edit endpoints (Nano Banana 2 Edit, GPT Image 2 Edit, FLUX Kontext Pro) when prose lighting language is enough. Use for product relighting (studio softbox → window light), portrait mood shift (overcast → golden hour), or color-grade change....

We need to translate the given English text into Japanese. The text describes a CLI tool called runcomfy-cli. The instruction says to preserve the name "runcomfy-cli" but only if it appears in the source text. The source text mentions "runcomfy" and "runcomfy CLI" but not "runcomfy-cli" exactly. However, the directory item type is "agent skill" and the name to preserve is "runcomfy-cli". The instruction says "Do not include the name unless it appears in the source text." The source text has "runcomfy" and "runcomfy CLI". The name to preserve is "runcomfy-cli". Since it's not exactly in the source, we should not add it. But the instruction says "Translate only the text inside <text>." So we translate the entire content inside <text> without adding or removing anything except translation. The name "runcomfy-cli" is not inside the text, so we don't include it. However, the text includes "run

We need to translate the given text from English to Japanese, preserving the name "seedance-v2" and other technical terms. The instruction says to translate only the text inside <text>, and not include the name unless it appears in the source text. The name "seedance-v2" appears in the source text as part of a command: "runcomfy run bytedance/seedance-v2/pro". So we should preserve that exact string. Also preserve "Seedance 2.0 Pro", "RunComfy", "HappyHorse 1.0", "Wan 2.7", "Kling", "CLI", etc. The text is a description of an agent skill. We need to output only the translated text, no extra commentary. Let's translate step by step. Original: "Generate cinematic short-form video with ByteDance Seedance 2.0 Pro on RunComfy. Documents Seedance 2.0 Pro's strengths (multi-modal references — up to 9 images, 3 videos, 3 audio — synchronized

RunComfy上の既存動画を編集します。このスキルは、ユーザーの意図に応じてRunComfyカタログ内の適切な編集モデルを選択するスマートルーターです。Wan 2.7 Edit-Video（一般的なリスタイル、背景交換、パッケージ交換、同一性と動きの保持）、Kling 2.6 Pro Motion Control（参照動画からターゲットキャラクターへの正確な動きの転送）、またはLucy Edit Restyle（軽量な同一性保持リスタイル、衣装交換）を選択します。各モデルの文書化されたプロンプトパターンをバンドルしており、スキルは…

Extend or continue an existing video clip on RunComfy via the `runcomfy` CLI. Routes to Google Veo 3-1's `extend-video` and `fast/extend-video` endpoints — pick the source video plus a prompt describing what should happen next, and the model produces a clip that continues the original with consistent motion, lighting, and subject identity. Use when the user has a short Veo clip and wants it longer, or wants a chained narrative built shot-by-shot from a single seed clip. Triggers on "extend...

Region edits across video frames on RunComfy via the `runcomfy` CLI — remove an object that appears across many frames, clean up wires or watermarks, replace a region with matching motion. Routes across Wan 2-7 edit-video (default, prompt-driven region edits with spatial language), Lucy Edit Restyle (identity-stable region-aware restyle), and Seedream 4-0 edit-sequential (when treating the clip as a frame stack). Picks the right route based on whether the change is prose-driven,...

We need to translate the given text from English to Japanese, preserving the name "video-outpainting" and other technical terms like "RunComfy", "runcomfy CLI", "Wan 2-7 edit-video", "ComfyUI". Also preserve URLs, numbers, etc. The text is a description of a directory item type "agent skill". We must not include the name unless it appears in source. The source includes "video-outpainting" as part of the text? Actually the text starts with "Video outpainting on RunComfy..." so "video outpainting" appears. We should preserve that as is? The instruction says "Preserve product names, protocol names, URLs, numbers, and technical terms." So "video outpainting" is a technical term? It's a skill name but also appears in text. We'll keep it as "video outpainting" (English) or translate? The instruction says "Preserve product names" - video outpainting is not a product name but a technique. However, the name

We need to translate the given English text into Japanese, preserving the name "wan-2-7" and other technical terms. The instruction says: "Translate only the text inside <text>. Do not include the name unless it appears in the source text." The name "wan-2-7" appears in the source text, so we should keep it as is. Also preserve "RunComfy", "Wan-AI", "HappyHorse 1.0", "Seedance 2.0", "Kling", "LTX 2", "runcomfy run wan-ai/wan-2-7/text-to-video", "CLI", "audio_url", etc. No extra commentary. Just a direct translation. Let me translate paragraph by paragraph. First sentence: "Generate text-to-video with Wan 2.7 (Wan-AI's flagship motion model) on RunComfy." -> "RunComfy上でWan 2.7（Wan-AIの主力モーションモデル）を使用して