AudioCraft is Meta’s open-source PyTorch library for deep learning research on audio generation — MusicGen, AudioGen and EnCodec.
AudioCraft packages Meta’s audio generation research into an open-source library: MusicGen generates music from text prompts, AudioGen generates sound effects, and EnCodec is a neural audio codec. Researchers and developers can run, fine-tune and build on these models at no cost, and the weights are published for both research and commercial use under Meta’s license. It is the reference open implementation behind a wave of music generation experiments.
AudioCraft is free and open source; costs come only from the compute needed to run the models.
Researchers, developers and tinkerers who want to run and customize music and audio generation models locally.
Researchers study text-to-music generation and fine-tune models on niche genres, and game developers prototype procedural audio with AudioGen. Hobbyists run MusicGen locally to create royalty-free background tracks.
Clone the repository, install dependencies and run the provided MusicGen notebook on a GPU machine for your first generations.
Yes — completely free under Meta’s open-source license.
It is a library rather than a service; you run it yourself or wrap it in your own API.
Versus Suno or Udio, AudioCraft offers openness and customization at the cost of convenience and output polish.
A CUDA GPU is recommended for reasonable generation speed; smaller models can run on consumer cards.
Review the license attached to each model and your outputs’ terms before commercial use.
MusicGen produces surprisingly coherent instrumental tracks for an open model, though commercial products like Suno currently lead on polish and song structure.
Yes — training scripts support fine-tuning on custom datasets, which is how researchers adapt the models to specific genres and styles.
MusicGen for text-to-music, AudioGen for sound effects and EnCodec for neural audio compression — a complete open toolkit for audio generation research.
Licensing terms are attached per model and code; review the repository licenses carefully before shipping commercial products.
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