Author

Rui Ma

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Preprint Aug 2026

CopyCat: Improving Fine-Grained Subject Consistency in Subject-to-Image Models within Seconds

This work proposes CopyCat, a lightweight model-refinement framework that improves fine-grained subject consistency within only a few seconds by attaching a lightweight Fine-grained Consistency LoRA and optimizing it using a single proxy image, which is used as both the conditioning image and the reconstruction target.

Peng Zheng, Rui-Qi Liu, Rui Ma et al. · 0 citations