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OFT: A new finetuning method for foundation models
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2026-01-30 10:32:42
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Controlling Text-to-Image Diffusion by Orthogonal Finetuning Controlling Text-to-Image Diffusion by Orthogonal Finetuning Zeju Qiu 1,* , Weiyang Liu 1,2,*,⚑ , Haiwen Feng 1 , Yuxuan Xue 3 , Yao Feng 1 , Zhen Liu 1,4 , Dan Zhang 3 , Adrian Weller 2,5 , Bernhard Schölkopf 1 1 Max Planck Institute for Intelligent Systems - Tübingen, 2 University of Cambridge, 3 University of Tübingen, 4 Mila, Université de Montréal, 5 The Alan Turing Institute * Equal contribution, ⚑ Project lead Paper arXiv Code Accepted to NeurIPS 2023 ! OFT can effectively and stably finetune text-to-image diffusion models. Abstract Large text-to-image diffusion models have impressive capabilities in generating photorealistic images from text prompts. How to effectively guide or control these powerful models to perform different downstream tasks becomes an important open problem. To tackle this challenge, we introduce a principled fi...
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