OmniGen2 is a research project focused on multimodal generation, allowing users to generate and edit images from text instructions and other images. The project includes model weights, a Gradio demo, training/inference code, and benchmarks like EditReward-Bench for evaluating image editing quality. It also releases reward models (EditScore family, 7B–72B) for reinforcement learning-based image editing.