SDEdit implements image synthesis and editing by leveraging the reverse stochastic process of SDE-based generative models. Given an input image for editing, it adds controlled noise to make artifacts undetectable while preserving overall structure, then denoises to generate the edited result. The model builds on score-matching and has been incorporated into Stable Diffusion’s img2img function.