Skill detail
acestep
ACE-Step 1.5 music generation for video production: background music, vocal tracks with lyrics, covers, stem extraction, and scene presets via a music_gen.py tool.
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SKILL.md
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--- name: acestep description: AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction 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, or musical composition tasks. --- # ACE-Step 1.5 Music Generation Open-source music generation (MIT license) via `tools/music_gen.py`. Runs on RunPod serverless. Requires `RUNPOD_API_KEY` and `RUNPOD_ACESTEP_ENDPOINT_ID` in `.env` (run `--setup` to create endpoint). ## Quick Reference ```bash # Basic generation python tools/music_gen.py --prompt "Upbeat tech corporate" --duration 60 --output bg.mp3 # With musical control python tools/music_gen.py --prompt "Calm ambient piano" --duration 30 --bpm 72 --key "D Major" --output ambient.mp3 # Scene presets (video production) python tools/music_gen.py --preset corporate-bg --duration 60 --output bg.mp3 python tools/music_gen.py --preset tension --duration 20 --output problem.mp3 python tools/music_gen.py --preset cta --brand digital-samba --duration 15 --output cta.mp3 # Vocals with lyrics python tools/music_gen.py --prompt "Indie pop jingle" --lyrics "[verse]\nBuild it better\nShip it faster" --duration 30 --output jingle.mp3 # Cover / style transfer python tools/music_gen.py --cover --reference theme.mp3 --prompt "Jazz piano version" --duration 60 --output jazz_cover.mp3 # Stem extraction python tools/music_gen.py --extract vocals --input mixed.mp3 --output vocals.mp3 # List presets python tools/music_gen.py --list-presets ``` ## Creating a Song (Step by Step) ### 1. Instrumental background track (simplest) ```bash python tools/music_gen.py --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 python tools/music_gen.py \ --prompt "Upbeat indie rock anthem, male vocal, driving drums, electric guitar, studio polish" \ --lyrics "$(cat /tmp/lyrics.txt)" \ --duration 60 \ --bpm 128 \ --key "G Major" \ --output my_song.mp3 ``` ### 3. Using a preset for video background ```bash python tools/music_gen.py --preset tension --duration 20 --output problem_scene.mp3 ``` ### Key tips for good results - **Caption = overall style** (genre, instruments, mood, production quality) - **Lyrics = temporal structure** (verse/chorus flow, vocal delivery) - **UPPERCASE in lyrics** = high vocal intensity - **Parentheses** = background vocals: "We rise (together)" - **Keep 6-10 syllables per line** for natural rhythm - **Don't describe the melody in the caption** — describe the *sound* and *feeling* - **Use `--seed`** to lock randomness when iterating on prompt/lyrics ## Scene Presets | Preset | BPM | Key | Use Case | |--------|-----|-----|----------| | `corporate-bg` | 110 | C Major | Professional background, presentations | | `upbeat-tech` | 128 | G Major | Product launches, tech demos | | `ambient` | 72 | D Major | Overview slides, reflective content | | `dramatic` | 90 | D Minor | Reveals, announcements | | `tension` | 85 | A Minor | Problem statements, challenges | | `hopeful` | 120 | CRead the full source on GitHub (opens external page)