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This is a Experimental Study study.

October 7, 2025Open Access

S4S: Solving for a Diffusion Model Solver

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S4S method significantly improves sample quality over traditional ODE solvers using only 5 neural function evaluations.
Achieving a Fréchet Inception Distance of 3.73 on CIFAR10 illustrates S4S's effectiveness in generating high-quality samples.
The lightweight, data-free approach of S4S makes it adaptable to different architectures and discretization schedules.
S4S-Alt further enhances performance by optimizing both the solver and the discretization schedule simultaneously.

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New technique optimizes diffusion model solvers, enhancing sample quality in various DMs, improving performance.

Frankel et al. (2025) studied this question.

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