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InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation Publication date: 3 Apr 2024 Topic: Image Generation Paper: https://arxiv.org/pdf/2404.02733v2.pdf GitHub: https://github.com/instantstyle/instantstyle Description: In this paper, we commence by examining several compelling yet frequently overlooked observations. We then proceed to introduce InstantStyle, a framework designed to address these issues through the implementation of two key strategies: 1) A straightforward mechanism that decouples style and content from reference images within the feature space, predicated on the assumption that features within the same space can be either added to or subtracted from one another. 2) The injection of reference image features exclusively into style-specific blocks, thereby preventing style leaks and eschewing the need for cumbersome weight tuning, which often characterizes more parameter-heavy designs.

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