Shypd.aiThe largest open index of AI toolsaudio-diffusion-pytorch is an Open Source library for audio generation using diffusion models, implemented in PyTorch. It supports unconditional and text-conditional audio generation, as well as diffusion autoencoding, upsampling, and vocoding.
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audio-diffusion-pytorch is a comprehensive PyTorch library designed for advanced audio generation tasks leveraging diffusion models. It offers a versatile set of functionalities, including unconditional audio generation, text-conditional audio generation, diffusion autoencoding, upsampling, and vocoding. The models are primarily waveform-based, but the underlying U-Net architecture, diffusion method, and samplers are highly customizable and generic, allowing for adaptation to various audio formats and dimensions. This library provides the foundational tools for researchers and developers to build and experiment with state-of-the-art audio synthesis techniques.
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