Individual skill
ace-step
Use ACE-Step and ACE-Step 1.5 for local or hosted AI music generation, including text-to-music, lyrics-to-song, instrumental beds, covers, repainting, stem/track extraction, track completion, LoRA personalization, REST/Python/Gradio workflows, rights review, and music integration for video, ads, games, and social content.
skills/providers/music-generation/ace-step/SKILL.md
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- Last checked
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- Jul 14, 2026
- License
- MIT
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- agent Repository topic
- agentic-ai Repository topic
- ai Repository topic
- ai-audio Repository topic
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- generative-media Repository topic
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# ACE-Step music production
Use this skill when a task calls for ACE-Step or ACE-Step 1.5 as the music engine, or when choosing an open-weight/local music-generation path for songs, background music, vocal tracks, covers, remixes, stems, or video soundtrack assets.
Treat ACE-Step as a fast generative music workstation, not a deterministic MIDI sequencer. It can follow style, lyric, structure, tempo, key, and reference-audio guidance, but outputs still need listening, selection, edits, mastering, rights checks, and delivery-format prep.
## Current facts to anchor on
Documented facts below were verified on 2026-07-10 from official ACE-Step GitHub, Hugging Face model cards, official docs, and arXiv reports.
- ACE-Step 1.5 is an open-source music foundation model co-led by ACE Studio and StepFun. It combines a planning language model with a diffusion transformer acoustic renderer.
- Main generation modes include text-to-music, lyrics-to-song, instrumental generation, cover/style transfer, repainting, LEGO/layered track generation, extraction, and completion. Some editing modes are documented as base-model-only.
- The official ACE-Step 1.5 Hugging Face card lists license `MIT`, model type `Text2Music`, 50+ languages, and consumer-hardware/local operation claims. The GitHub repository is MIT-licensed.
- The official API is asynchronous: submit with `POST /release_task`, poll `POST /query_result`, then download files via `/v1/audio?path=...`.