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A fully featured audio diffusion library, for PyTorch. Includes models for unconditional audio generation, text-conditional audio generation, diffusion autoencoding, upsampling, and vocoding. The provided models are waveform-based, however, the U-Net (built using a-unet), DiffusionModel, diffusion method, and diffusion samplers are both generic to any dimension and highly customizable to work on other formats. Note: no pre-trained models are provided here, this library is meant for research purposes.
Features
- Unconditional Generator
- Text-Conditional Generator
- Diffusion Upsampler
- Diffusion Vocoder
- Diffusion Autoencoder
- Inpainting
Project Samples
License
MIT LicenseFollow audio-diffusion-pytorch
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