MusicGen
The facts below are what the maker publishes about MusicGen, checked and dated. Our editors have not written about it yet.
The facts
Each one read from MusicGen's own pages, with the date it was checked.
What it does
- API
- The documentation says AudioCraft provides a simple API and pretrained MusicGen models.checked 12 Oct 2026
- API and framework
- The repository provides a simple API and documents MusicGen use through the Hugging Face Transformers library.checked 12 Oct 2026
- Audio export formats
- wavchecked 21 Sep 2026
- Audio quality
- The page says a Multi-Band Diffusion EnCodec decoder can reduce audio artifacts at the cost of more computation.checked 12 Oct 2026
- Audio upload
- Yeschecked 21 Sep 2026
- Commercial use
- Nochecked 21 Sep 2026
- Compute requirement
- The documentation says inference with medium-sized models requires a GPU with at least 16 GB of memory.checked 12 Oct 2026
- Hardware requirement
- Running inference with medium-sized models requires a GPU with at least 16 GB of memory, while smaller GPUs can generate short sequences or use the small model for longer sequences.checked 12 Oct 2026
- Known limitations
- The model card says MusicGen cannot generate realistic vocals, performs less well with non-English descriptions, and does not perform equally well across music styles and cultures.checked 12 Oct 2026
- License
- The repository identifies the code as MIT-licensed and the model weights as CC-BY-NC 4.0 licensed.checked 12 Oct 2026
- Licensing
- The code is released under MIT, while the model weights are released under CC-BY-NC 4.0.checked 12 Oct 2026
- Longer tracks
- The maker describes generating tracks up to two minutes by sliding 30-second windows in 10-second chunks while retaining 20 seconds of prior output as context.checked 12 Oct 2026
- Long samples
- The page describes generating two-minute tracks by sliding 30-second windows in 10-second chunks and retaining the previous 20 seconds as context.checked 12 Oct 2026
- Melody guidance
- MusicGen can extract a melody from an input music sample using chromagrams and guide generation to follow it while adhering to a text description.checked 12 Oct 2026
- Model architecture
- MusicGen uses a single-stage Transformer model with an EnCodec tokenizer.checked 12 Oct 2026
- Model design
- MusicGen is a single-stage Transformer language model that generates music using compressed audio tokens.checked 12 Oct 2026
- Model options
- The repository documents small, medium, and large models, as well as melody-conditioned and stereo variants.checked 12 Oct 2026
- Model sizes
- The model card lists 300M, 1.5B, and 3.3B parameter sizes, with text-to-music and melody-guided variants.checked 12 Oct 2026
- Purpose
- MusicGen is a model for controllable music generation, intended primarily for AI research.checked 12 Oct 2026
- Support
- The model card directs questions and comments to the GitHub repository or its issue tracker.checked 12 Oct 2026
- Text generation
- The model generates music samples from text descriptions.checked 12 Oct 2026
- Text prompts
- It generates music conditioned on textual descriptions.checked 12 Oct 2026
- Training data
- The documentation says MusicGen was trained on 20,000 hours of licensed music, including an internal set and music data from Shutterstock and Pond5.checked 12 Oct 2026
Where it runs
- Supported platforms
- webchecked 21 Sep 2026
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