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PuLID: Pure and Lightning ID Customization via Contrastive Alignment

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arxiv 2404.16022 v2 pith:PH4G357Y submitted 2024-04-24 cs.CV

Zinan Guo , Yanze Wu , Zhuowei Chen , Lang Chen , Peng Zhang , Qian He This is my paper
classification cs.CV
keywords pulidcustomizationlightningalignmentcontrastivefidelitylosspure
verification ladder T0 review T1 audit T2 compute T3 formal
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We propose Pure and Lightning ID customization (PuLID), a novel tuning-free ID customization method for text-to-image generation. By incorporating a Lightning T2I branch with a standard diffusion one, PuLID introduces both contrastive alignment loss and accurate ID loss, minimizing disruption to the original model and ensuring high ID fidelity. Experiments show that PuLID achieves superior performance in both ID fidelity and editability. Another attractive property of PuLID is that the image elements (e.g., background, lighting, composition, and style) before and after the ID insertion are kept as consistent as possible. Codes and models are available at https://github.com/ToTheBeginning/PuLID

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Cited by 5 Pith papers

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  5. A Summer Meridional Subsurface Temperature Dipole Mode in the South China Sea

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