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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 audio-inpaint (
Passed 22 of 22 test cases with the skill, and 3 of 22 without it.
and 27 more in the full report
19 fixed3 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 19 test cases the skill fixed. Same model, same prompt, with and without the skill.
Where does runcomfy login store the authentication token on disk, and what file permission mode is applied to protect it?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies path ~/.config/runcomfy/token.json | Missed | Passed |
| Identifies file permission mode 0600 | Passed | Passed |
The instructions your model reads when the skill loads.
Tag-driven music generation, inpainting, and outpainting with StepFun-AI's ACE Step open-weights model. Four CLI-reachable endpoints, $0.0002–0.0003 per second of audio, up to 4 minutes per call.
runcomfy.com · ACE Step base · ACE Step 1.5 · CLI docs
npx skills add agentspace-so/runcomfy-agent-skills --skill ace-step -g
Step 1 — install (one of, see the runcomfy-cli skill for details):
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):
runcomfy login
Step 3 — generate:
runcomfy run acestep-ai/ace-step/text-to-audio \
--input '{"tags": "..."}' \
--output-dir ./out
CLI deep dive: runcomfy-cli skill.
test cases passed, vs 3 / 22 without
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