AudioCraft
AudioCraft is Meta's open-source research framework encompassing multiple generative audio models including MusicGen for music synthesis and AudioGen for environmental sound generation. Rather than a single model, AudioCraft is a unified library and training infrastructure that enables researchers and developers to run, fine-tune, and build upon Meta's suite of audio generation work.
AudioCraft is positioned as the foundational toolkit for the MusicGen family, providing consistent interfaces for text-conditioned audio generation, audio continuation, and model evaluation. It is widely used in academic audio ML research and by developers building custom audio generation pipelines who need direct access to model weights and generation internals.
Key Features
Unified framework for music (MusicGen) and sound effect (AudioGen) generation
Text-conditioned audio generation with duration and quality controls
Audio continuation for extending existing audio clips
Open-source weights and training code for fine-tuning and research
Support for multiple model sizes (small, medium, large) in a single interface
Melody conditioning for harmonically guided music generation
Ideal Use Cases
Academic research into neural audio generation architectures
Building custom audio generation pipelines on top of Meta's model weights
Fine-tuning MusicGen on domain-specific music datasets
Evaluating audio generation models using standardized benchmarks
Developing educational tools or demos around open-source audio AI
Example Prompts for AudioCraft
Technical Specifications
| Provider | MusicGen |
| Category | Audio |
| Modality | Text -> Audio |
| License | MIT (framework) / CC BY-NC 4.0 (model weights) |
Frequently Asked Questions
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