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Fine-Grained Caching for Diffusion Transformers with Few Calibration Conditions
Diffusion transformers require repeated denoiser evaluations, making image and video generation computationally expensive. We propose a training-free framework that uses a few calibration conditions to construct a fixed, fine-grained module-reuse schedule without schedule search. The design is motiv
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