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A novel dense supervision strategy boosts image editing model performance by leveraging over 1,000 fine-grained concepts from a massive dataset of 12 million pairs.
A single model now rivals specialized vision-language models in understanding, while also generating and editing images, thanks to a unified discrete diffusion framework.
