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Nvidia's "Perfusion" AI technique reduces storage requirements for customized text-to-image models

Nvidia has created a new AI image generation technique called "Perfusion" that allows for personalized text-to-image models with reduced storage requirements. By making small updates to the internal representations of a text-to-image model, Perfusion enables minor, parameterized edits to the cross-attention layers to modify how text inputs get translated into images. This method allows for personalization of AI models using only 100KB per concept, making it possible to deploy highly customized AI art models. The authors plan to release the code for Perfusion publicly in the future, despite some limitations. 

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