Skill 详情
ai-music
通过 runcomfy CLI 在 RunComfy 音乐模型(ElevenLabs、ACE Step、ACE Step 1.5)之间路由,用于人声歌曲、器乐和音频 inpaint/outpaint。
使用前先检查
自动化审核只检查相关性,不代表安全审查或推荐。使用前请阅读来源中的说明。
SKILL.md
这段内容是审核时保存的快照。外部来源才是完整且最新的版本。
---
name: ai-music
displayName: "AI Music"
allowed-tools: Bash(runcomfy *)
description: >
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 model for the user's actual intent —
premium vocal hook, cheap background music library, multilingual
pop song, repair a bad chorus, lengthen a 30 s draft into a 2 min
cut — and ships each model's documented prompting patterns plus the
minimal `runcomfy run` invoke. Triggers on "generate music",
"make a song", "AI music", "background music", "instrumental track",
"soundtrack", "jingle", "theme music", "royalty-free music",
"compose", "music with lyrics", "extend music", "fix this song",
"inpaint music", or any explicit ask to generate or edit music.
homepage: https://www.runcomfy.com
license: MIT
---
# AI Music
Generate AI music on RunComfy through one CLI — vocal songs, instrumentals, jingles, game loops, multilingual covers. This skill picks the right model from the RunComfy catalog based on the user's actual intent and ships the documented prompting patterns + the exact `runcomfy run` invoke for each.
[runcomfy.com](https://www.runcomfy.com/?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-music) · [Audio models](https://www.runcomfy.com/models?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-music) · [CLI docs](https://docs.runcomfy.com/cli/introduction?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-music)
## Install this skill
```bash
npx skills add agentspace-so/runcomfy-agent-skills --skill ai-music -g
```
## Powered by the RunComfy CLI
**Step 1 — install** (one of, see the `runcomfy-cli` skill for details):
```bash
npm i -g @runcomfy/cli # global install
npx -y @runcomfy/cli --version # zero-install
```
**Step 2 — sign in** (or set `RUNCOMFY_TOKEN` env var in CI / containers):
```bash
runcomfy login
```
**Step 3 — generate music**:
```bash
runcomfy run <vendor>/<model>/<endpoint> \
--input '{"prompt": "...", ...}' \
--output-dir ./out
```
CLI deep dive: [`runcomfy-cli`](https://www.skills.sh/agentspace-so/runcomfy-agent-skills/runcomfy-cli) skill.
---
## Pick the right model for the user's intent
### Text-to-music (generate from scratch) — newest first
**ACE Step 1.5** — `acestep-ai/ace-step-1.5/text-to-audio`
> Latest ACE Step generation. **50+ language vocal support**, refined structured-lyric handling, $0.0003/s. Open-weights (Apache 2.0).
> Pick for: multilingual launches, vocal songs in non-English, hero-quality ACE output.
> Avoid for: maximally polished commercial vocal hooks (try ElevenLabs Music) or cost-sensitive batches (try base ACE Step).
**ElevenLabs AI Music Generation** — `elevenlabs/elevenlabs/music-generation`
> Premium 44.1 kHz stereo, 5 s–5 min, section-level control (Intro/Verse/Chorus/Bridge), multilingual vocals, commercial-friendly. $0.0083/s (~27× ACE Step).
> Pick for: hero brand campaigns, polished vocal hooks, premium commercial cuts, ad music.
> Avoid for: high-volume drafts / background music libraries — cost dominates.
**ACE Step (base)** — `acestep-ai/ace-step/text-to-audio` *(default for cost-sensitive work)*
> Original ACE Step. Tag-driven composition, optional lyrics, 5–240 s stereo. **$0.0002/s** — cheapest CLI-reachable music model on RunComfy.
> Pick for: background music libraries, jingles, game loops, drafts, cost-sensitive iteration.
> Avoid for: premium vocal hooks — use **ElevenLabs Music** or **ACE Step 1.5**.
### Edit existing audio — ACE Step only (ElevenLabs has no edit endpoints)
**ACE Step audio-inpaint** — `acestep-ai在 GitHub 阅读完整来源 (打开外部页面)