Step1X-Edit: A Practical Framework for General Image Editing

Recent advancements in multimodal models like

Figure 2: Comparison showing Step1X-Edit’s dataset size relative to other image editing datasets.

Through analysis of web-crawled editing examples, the team categorized image editing into 11 distinct types. This taxonomy guided the creation of a comprehensive data pipeline that generated over 20 million instruction-image triplets. After rigorous filtering using both Multimodal LLMs and human annotators, the final dataset contained more than 1 million high-quality examples.

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