This epidsode introduces Step1X-Edit, an open-source image editing model designed to close the performance gap with proprietary models like GPT-4o. The developers created a large-scale, high-quality dataset and a new benchmark (GEdit-Bench) reflecting real-world editing instructions to train and evaluate the model. Step1X-Edit integrates a Multimedia Large Language Model (MLLM) with a diffusion-based image decoder to perform diverse edits based on natural language instructions. Experimental results indicate that Step1X-Edit outperforms existing open-source models and achieves performance comparable to leading closed-source systems.

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