I'm super excited to share our recent work OmniEdit, an omnipotent editing model to handle all different types of editing requests including addition, removal, swapping, environment, background, style, etc. The best part is the **highest-quality** 1.2M high-resolution image editing dataset in huggingface.co/datasets/TIGER…. The biggest blocker in image editing is the lack of high-quality editing pairs. Most existing released datasets are highly noisy, low-resolution, with strong artifacts. This basically prohibits the progress in this area. We spent **8 months** to experiment with many approaches to synthesize and filter clean image editing pairs. Eventually, we built seven specialized pipelines to propose massive amount of candidates and then prompt GPT-4o to assign quality scores these candidates. We took the highest-ranked candidates as our 1.2M training data.