SeedEdit is a large diffusion model introduced by the Doubao Team, designed to revise images based on any text prompts. It achieves an optimal balance between image reconstruction and regeneration by aligning a powerful image generator with a robust image editor in a stepwise fashion. SeedEdit enables zero-shot stable editing of high aesthetic/resolution images and supports continuous revision of images. The significance of this technology lies in its ability to address the core challenge of scarcity of paired image data in image editing problems, by viewing the text-to-image (T2I) generation model as a weak editing model and achieving 'editing' by generating new images with new prompts, which are then distilled and aligned within an image-conditioned editing model.