Shypd.aiThe largest open index of AI toolsCold-Diffusion-Models is an open-source image generation tool that provides the official PyTorch implementation of Cold-Diffusion. It allows for inverting arbitrary image transformations without noise, supporting various degradations like Gaussian blur and animorphosis.
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Cold-Diffusion-Models offers the official PyTorch implementation of Cold-Diffusion, a novel approach for inverting arbitrary image transformations without the need for traditional noise. Developed by researchers at the University of Maryland, this repository provides comprehensive code to train and test cold diffusion models. It supports a range of image degradations, including Gaussian blur, animorphosis, Gaussian mask, resolution downsampling, image snow, and color desaturation. The implementation is based on lucidrains' denoising diffusion repository and includes pretrained models for CelebA and AFHQ generation. Users can explore both conditional and unconditional generation schedules, with detailed scripts and arguments for training and testing different models and degradation types.
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