th only 10 steps. Notably, our searched solver outperforms traditional
solvers by a significant margin. Moreover, our searched solver demonstrates
generality across various model architectures, resolutions, and model sizes.</p>
            
            <p class="paper-tldr"><strong>TLDR</strong>: The paper introduces a differentiable solver search algorithm to identify more optimal solvers for diffusion models, achieving state-of-the-art FID scores on ImageNet256 with only 10 steps, outperforming traditiona