archinetai/audio-diffusion-pytorch
A PyTorch library for audio generation using diffusion models with support for unconditional, text-conditional, and autoencoding approaches.

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This library provides implementations of diffusion-based audio generation models. It includes U-Net architectures with attention mechanisms for denoising, various diffusion methods (VDiffusion), and sampler options (VSampler). The library supports waveform-based audio generation and can be customized for different formats and dimensions. No pre-trained models are provided.