audiocraft 1.3.0

The Audiocraft library is a powerful tool for audio processing and generation using deep learning. Developed by Facebook Research, it includes the Encodec audio compressor tokenizer and MusicGen, a language model for music generation that can be controlled with text and melody. This makes it a valuable resource for developers and researchers interested in music generation and audio processing. The library is built on PyTorch and requires a GPU for operation.

Stars: 23002, Watchers: 23002, Forks: 2571, Open Issues: 378

The facebookresearch/audiocraft repo was created 2 years ago and the last code push was 11 months ago.
The project is extremely popular with a mindblowing 23002 github stars!

How to Install audiocraft

You can install audiocraft using pip

pip install audiocraft

or add it to a project with poetry

poetry add audiocraft

Package Details

Author

FAIR Speech & Audio

License

MIT License

Homepage

https://github.com/facebookresearch/audiocraft

PyPi:

https://pypi.org/project/audiocraft/

GitHub Repo:

https://github.com/facebookresearch/audiocraft

Classifiers

• Multimedia/Sound/Audio
• Scientific/Engineering/Artificial Intelligence

Related Packages

Errors

A list of common audiocraft errors.

Code Examples

Here are some audiocraft code examples and snippets.

GitHub Issues

The audiocraft package has 378 open issues on GitHub

• Encodec missing checkpoint
• update link to MultiBandDiffusion
• Make xformers optional for macOS ARM support
• How many epochs
• MBD @1.5kbps @3kbps @6kbps
• MBD support for AudioGen (16kHz)?
• Create Smr
• [feat] Add CPU-only Docker support for macOS ARM64
• torch.load vulnerability error when loading MusicGen pretrained model
• MusicGen No such file or directory: compression_state_dict.bin

See more issues on GitHub