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ChenWu98/cycle-diffusion

PyTorch implementation of CycleDiffusion, a unified latent space framework for stochastic diffusion models enabling zero-shot image-to-image translation and editing.

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This repository provides the official implementation of a paper that formalizes the ‘random seed’ concept in diffusion models and proposes methods to infer it from image pairs. The work enables zero-shot image editing and guidance by exploiting the latent space structure of stochastic diffusion models. It integrates with HuggingFace Diffusers and includes a demo on HuggingFace Spaces.

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