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RA-CFGCache: From Branch-Level Criteria to Guided-Risk Control under Classifier-Free Guidance
Diffusion models enable high-quality visual generation, but iterative denoising remains computationally expensive, especially under classifier-free guidance (CFG), which requires both conditional and unconditional evaluations. Training-free caching reduces this cost by reuse of previously computed f
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