Audiocraft Audio Generation
Meta's AudioCraft library wrapped for Claude, giving you MusicGen for text-to-music and AudioGen for sound effects. You get models from 300M to 3.3B parameters, melody conditioning if you want to hum a tune and have it generate around that, and proper stereo output. Generation params are straightforward: set duration, temperature, and guidance strength. The HuggingFace integration works well if you're already in that ecosystem. Honest take: this is solid for prototyping music apps or generating background audio, but you're capped at 30 seconds and the quality ceiling is what it is. If you need longer commercial tracks, look at Stable Audio instead.
- skills.sh installs
- 1.1K
- GitHub stars
- 14.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add orchestra-research/ai-research-skills --skill audiocraft-audio-generation --agent claude-codeInstalls into .claude/skills of the current project.
Files
AudioCraft: Audio Generation
Comprehensive guide to using Meta's AudioCraft for text-to-music and text-to-audio generation with MusicGen, AudioGen, and EnCodec.
When to use AudioCraft
Use AudioCraft when:
- Need to generate music from text descriptions
- Creating sound effects and environmental audio
- Building music generation applications
- Need melody-conditioned music generation
- Want stereo audio output
- Require controllable music generation with style transfer
Key features:
- MusicGen: Text-to-music generation with melody conditioning
- AudioGen: Text-to-sound effects generation
- EnCodec: High-fidelity neural audio codec
- Multiple model sizes: Small (300M) to Large (3.3B)
- Stereo support: Full stereo audio generation
- Style conditioning: MusicGen-Style for reference-based generation
Use alternatives instead:
- Stable Audio: For longer commercial music generation
- Bark: For text-to-speech with music/sound effects
- Riffusion: For spectogram-based music generation
- OpenAI Jukebox: For raw audio generation with lyrics
Quick start
Installation
# From PyPI
pip install audiocraft
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- Repository
- github.com/orchestra-research/ai-research-skills
- Categories
- AI & Agent Building, Data Science & ML
- First seen
- Jun 3, 2026
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