Flash‑BoN introduces instant draft sampling for inference‑time scaling in diffusion models, enabling rapid generation while reducing verifier overhead. The method extends Best‑of‑N sampling by incorporating real‑time trajectory verification at intermediate denoising steps, thereby optimizing both speed and quality. Unlike prior approaches that count only NFEs, Flash‑BoN accounts for the total computational cost, including verifier calls, in its evaluation metrics.
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