acestep
AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction, audio repainting, and continuation for video production.
Skill by xaralis
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What's inside
- Skill name
acestep- Description
- AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction, audio repainting, and continuation for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, repaint, continuation, or musical composition tasks.
- License
- MIT
- Instructions
- 342 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# ACE-Step 1.5 Music Generation Open-source music generation via `python3 -m video_toolkit.music_gen`. **Cloud providers:** - **acemusic** (default) — Official ACE-Step cloud API with XL Turbo (4B) model + 5Hz LM thinking mode. Free API key from [acemusic.ai/api-key](https://acemusic.ai/api-key). No GPU required. - **modal** — Self-hosted ACE-Step 2B Turbo on Modal. Requires `MODAL_MUSIC_GEN_ENDPOINT_URL`. - **runpod** — Self-hosted ACE-Step 2B Turbo on RunPod. Requires `RUNPOD_ACESTEP_ENDPOINT_ID`. ## Setup ```bash # acemusic (recommended — free, best quality, no GPU) echo "ACEMUSIC_API_KEY=your_key" >> .env # Get key at https://acemusic.ai/api-key # Self-hosted (optional fallback) python3 -m video_toolkit.music_gen --setup # RunPod modal deploy docker/modal-music-gen/app.py # Modal ``` ## Quick Reference ```bash # Basic generation (uses acemusic XL Turbo by default) python3 -m video_toolkit.music_gen --prompt "Upbeat tech corporate" --duration 60 --output bg.mp3 # Generate 4 variations, pick the best python3 -m video_toolkit.music_gen --prompt "Calm ambient piano" --duration 30 --variations 4 --output ambient.mp3 # Fast mode (disable thinking) python3 -m video_toolkit.music_gen --no-thinking --prompt "Quick draft" --duration 30 --output draft.mp3 # With musical control python3 -m video_toolkit.music_gen --prompt "Calm ambient piano" --duration 30 --bpm 72 --key "D Major" --output ambient.mp3 # Scene presets (video production) python3 -m video_toolkit.music_gen --preset corporate-bg --duration 60 --output bg.mp3 python3 -m video_toolkit.music_gen --preset tension --duration 20 --output problem.mp3 python3 -m video_toolkit.music_gen --preset cta --brand my-brand --duration 15 --output cta.mp3 # Vocals with lyrics python3 -m video_toolkit.music_gen --prompt "Indie pop jingle" --lyrics "[verse]\nBuild it better\nShip it faster" --duration 30 --output jingle.mp3 # Cover / style transfer python3 -m video_toolkit.music_gen --cover --reference theme.mp3 --prompt "Jazz piano version" --duration 60 --output jazz_cover.mp3 # Repaint a weak section python3 -m video_toolkit.music_gen --repaint --input track.mp3 --repaint-start 15 --repaint-end 25 --prompt "Guitar solo" --output fixed.mp3 # Continue from existing audio python3 -m video_toolkit.music_gen --continuation --input track.mp3 --prompt "Continue with jazz piano" --output extended.mp3 # Stem extraction python3 -m video_toolkit.music_gen --extract vocals --input mixed.mp3 --output vocals.mp3 # Fall back to self-hosted python3 -m video_toolkit.music_gen --cloud modal --prompt "Background music" --duration 60 --output bg.mp3 ``` ## Fixing "Samey" Output If generated music sounds repetitive or lacks variety, try these in order: 1. **Use acemusic cloud** (default) — the XL Turbo 4B model is significantly more capable than the 2B model on Modal/RunPod 2. **Keep thinking mode on** (default for acemusic) — the 5Hz LM enriches sparse prompts into detailed musical descriptions 3. **Generate variations** — `--variations 4` generates 4 takes, pick the best 4. **Use stochastic inference** — `--infer-method sde` adds randomness (same seed gives different results) 5. **Vary BPM and key across scenes** — don't use the same preset for every scene 6. **Write sparser prompts** — "Upbeat indie rock" gives the model more creative freedom than a hyper-detailed description 7. **Vary seeds** — omit `--seed` to let each generation be unique ## Creating a Song (Step by Step) ### 1. Instrumental background track (simplest) ```bash python3 -m video_toolkit.music_gen --prompt "Upbeat indie rock, driving drums, jangly guitar" --duration 60 --bpm 120 --key "G Major" --output track.mp3 ``` ### 2. Song with vocals and lyrics Write lyrics in a temp file or pass inline. Use structure tags to control song sections. ```bash # Write lyrics to a file first (recommended for longer songs) cat > /tmp/lyrics.txt << 'LYRICS' [Verse 1] Walking through the morning light Coffee in my hand feels right Another day to build and dream Nothing's ever what it seems [Chorus - anthemic] WE KEEP MOVING FORWARD Through the noise and doubt We keep moving forward That's what it's about [Verse 2] Screens are glowing late at night Shipping code until it's right The deadline's close but so are we Almost there, just wait and see [Chorus - bigger] WE KEEP MOVING FORWARD Through the noise and doubt We keep moving forward That's what it's about [Outro - fade] (Moving forward...) LYRICS # Generate the song python3 -m video_toolkit.music_gen \ --prompt "Upbeat indie rock anthem, male vocal, driving drums, electric guitar, studio polish" \ --lyrics "$(cat /tmp/lyrics.txt)" \ --duration 60 \ --bpm 128 \
From xaralis/video-toolkit, MIT.
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- Last commit (this folder)
- Jul 18, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/xaralis/video-toolkit
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
acestep skill. Agent Mart. https://agentmart.dev/skills/xaralis-acestep (last updated 2026-10-24)