Identity Preservation Augmentation Dataset for Image Editing

Identity Preservation Augmentation Dataset for Image Editing Overview This dataset contains algorithmically generated image pairs designed to teach diffusion-based image editing models pixel-level identity preservation — the ability to keep unchanged regions of an image exactly intact while applying targeted edits. Every example consists of a reference image, a target image, and a short natural-language prompt. The transformation between reference and target is… See the full description on the dataset page: huggingface.co/datasets/molbal/identity_preservation_image_editing.