AcestepSAFE

AI-native video production toolkit for Claude Code

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
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.
---

# ACE-Step 1.5 Music Generation

Open-source music generation via `tools/music_gen.py`.

**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)
uv run tools/music_gen.py --setup             # RunPod
uv run modal deploy docker/modal-music-gen/app.py    # Modal
```

## Quick Reference

```bash
# Basic generation (uses acemusic XL Turbo by default)
uv run tools/music_gen.py --prompt "Upbeat tech corporate" --duration 60 --output bg.mp3

# Generate 4 variations, pick the best
uv run tools/music_gen.py --prompt "Calm ambient piano" --duration 30 --variations 4 --output ambient.mp3

# Fast mode (disable thinking)
uv run tools/music_gen.py --no-thinking --prompt "Quick draft" --duration 30 --output draft.mp3

# With musical control
uv run tools/music_gen.py --prompt "Calm ambient piano" --duration 30 --bpm 72 --key "D Major" --output ambient.mp3

# Scene presets (video production)
uv run tools/music_gen.py --preset corporate-bg --duration 60 --output bg.mp3
uv run tools/music_gen.py --preset tension --duration 20 --output problem.mp3
uv run tools/music_gen.py --preset cta --brand digital-samba --duration 15 --output cta.mp3

# Vocals with lyrics
uv run tools/music_gen.py --prompt "Indie pop jingle" --lyrics "[verse]\nBuild it better\nShip it faster" --duration 30 --output jingle.mp3

# Cover / style transfer
uv run tools/music_gen.py --cover --reference theme.mp3 --prompt "Jazz piano version" --duration 60 --output jazz_cover.mp3

# Repaint a weak section
uv run tools/music_gen.py --repaint --input track.mp3 --repaint-start 15 --repaint-end 25 --prompt "Guitar solo" --output fixed.mp3

# Continue from existing audio
uv run tools/music_gen.py --continuation --input track.mp3 --prompt "Continue with jazz piano" --output extended.mp3

# Stem extraction
uv run tools/music_gen.py --extract vocals --input mixed.mp3 --output vocals.mp3

# Fall back to self-hosted
uv run tools/music_gen.py --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
uv run 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
uv run 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. Repaint a weak section
If the chorus sounds weak, regenerate just that section:
```bash
uv run tools/music_gen.py --repaint --input my_song.mp3 --repaint-start 20 --repaint-end 35 --prompt "Powerful anthemic chorus, big drums" --output fixed.mp3
```

### 4. Continue/extend a track
```bash
uv run tools/music_gen.py --continuation --input my_song.mp3 --prompt "Continue with gentle acoustic outro" --output extended.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

### Controlling voc

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

What the source does

Filesystem

none-observed

Network

none-observed

Shell

none-observed

Dependencies

pinned

Secrets in source

none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.