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 <img src="./LOGO.png"></img>
 
-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`](https://github.com/archinetai/a-unet)), `DiffusionModel`, diffusion method, and diffusion samplers are both generic to any dimension and highly customizable to work on other formats.
+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`](https://github.com/archinetai/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.**
 
 
 ## Install