cycle-diffusion
CycleDiffusion introduces a PyTorch implementation that unifies the latent space of diffusion models. It emphasizes formalizing the 'random seed' for enhanced image-to-image translation capabilities. This method supports zero-shot translation using models like Stable Diffusion and traditional unpaired translations across domains. By leveraging real images and pre-trained models, the project provides robust tools and resources accessible via HuggingFace for researchers and developers in image generation endeavors.
