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HybridStitch: Token-Adaptive Model Stitching for Efficient Diffusion Generation
Iterative diffusion generation requires different amounts of model capacity at different token positions. Prior model combinations allocate capacity by denoising step or by drafting and verification role. We present HybridStitch, a training-free framework that uses token-level feedback to select the
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