ACEdit: Stable Multi-Turn Image Editing via Asymmetric Conditioning

ACEdit stabilizes multi-turn image editing by applying a self-forcing training scheme that exposes the model to its own previous outputs. This approach mitigates the accumulated distribution shifts that typically degrade image quality during successive editing steps by aligning training trajectories with multi-turn inference patterns.