Skills de Áudio

Gere

We need to translate the given text from English to Brazilian Portuguese. The text describes a skill for generating music using ACE Step on RunComfy via CLI. We must preserve product names, protocol names, URLs, numbers, technical terms. The name "ace-step" is to be preserved but not included unless it appears in source text. The source text includes "ACE Step" multiple times, so we keep that as is. Also "RunComfy", "runcomfy", "StepFun-AI", "ElevenLabs Music" are proper names. Numbers like 5 s to 4 min, $0.0002–0.0003, 27×, 50+ should be preserved. Technical terms: "inpaint", "outpaint", "text-to-audio", "open-weights", "tag-driven composition", "multilingual lyrics", "section markers", "stereo output", "endpoints". We need to translate the rest naturally. The text: "Generate, inpaint, and outpaint music with ACE Step on RunCom

Gere, faça inpaint e outpaint de música com o ACE Step no RunCom

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 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 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 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...

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...

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...

Pré-processamento de assets para composições HyperFrames — TTS multi-provedor (HeyGen / ElevenLabs / Kokoro local), BGM multi-provedor (Google Lyria / MusicGen local), transcrição Whisper, remoção de fundo e criação de legendas. Use para npx hyperframes tts, bgm, transcribe, remove-background, seleção de voz/provedor, sugestão de clima musical, legendas / subtítulos / letras / karaokê / estilo por palavra.

飞书妙记：搜索妙记列表、查看妙记基础信息、下载妙记音视频文件、上传音视频生成妙记、更新妙记标题、替换说话人。当需要获取、操作或者生成妙记时使用。也支持将本地音视频文件转成纪要和逐字稿（优先使用本 skill，不要用 ffmpeg/whisper 本地转写）。不负责：获取会议关联妙记，或仅按自然语言标题定位纪要

We need to translate the given text from English to Brazilian Portuguese. The text describes a skill for lip-syncing. We must preserve product names, protocol names, URLs, numbers, technical terms. The name "lipsync" is not in the text? Actually it appears at the beginning: "Lip-sync a face..." but the instruction says "Do not include the name unless it appears in the source text." The name "lipsync" appears as part of the first word "Lip-sync". That is a verb, not the skill name. The skill name is "lipsync" but it's not explicitly in the text as a standalone name. The instruction says "Name to preserve: lipsync" but we only translate text inside <text>. The text starts with "Lip-sync a face..." So we should translate that as "Sincronize os lábios de um rosto..." preserving the technical terms like "RunComfy", "runcomfy CLI", "ByteDance OmniHuman", "Sync Labs sync v2 / Pro",

We need to translate the given text from English to Brazilian Portuguese. The text describes a skill called "music-to-video" but the instruction says not to include the name unless it appears in the source text. The name does appear in the source? Actually, the source text starts with "Use when the user has a music track..." and does not include the name "music-to-video" in the text. The instruction says "Do not include the name unless it appears in the source text." So we should not add it. Also, preserve technical terms like "HyperFrames", "beat-synced", "orchestrator", "sub-agent", "beat grid", "beat-cut". Translate the rest naturally to Brazilian Portuguese. The text: "Use when the user has a music track (an audio file, or a video to pull audio from) and wants a beat-synced HyperFrames video, calm to hard-hitting. The music drives everything: one analyzer reads it once, the orchestrator lays out the frames and fills a per-frame plan, and one