MimicBrush is an innovative image editing model that allows users to achieve zero-shot image editing by specifying the editing area in the source image and providing a reference image. The model can automatically capture the semantic correspondence between the two images and complete the editing in one step. MimicBrush is developed based on diffusion priors, capturing semantic relationships between different images through self-supervised learning, and experimental results demonstrate its effectiveness and superiority in various test cases.