audiocraft-audio-generation
PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.
npx skills add Orchestra-Research/AI-Research-SKILLs --skill audiocraft --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 ```bash # From PyPI pip install audiocraft # From GitHub (latest)
- When to use AudioCraft
- Quick start
- Installation
- Basic text-to-music (AudioCraft)
- Using HuggingFace Transformers
- Text-to-sound with AudioGen
- Core concepts
- Architecture overview
- Model variants
- Generation parameters
- MusicGen usage
- Text-to-music generation
- Melody-conditioned generation
- Stereo generation
From PyPI pip install audiocraft From GitHub (latest) pip install git+https://github.com/facebookresearch/audiocraft.git Or use HuggingFace Transformers pip install transformers torch torchaudio
What does the audiocraft-audio-generation skill do?
PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.
How do I install it?
Run `npx skills add Orchestra-Research/AI-Research-SKILLs --skill audiocraft --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From Orchestra-Research/AI-Research-SKILLs, a repository with 11,391 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.