rformance: it
achieves an FID of 3.43 with a single function evaluation (1-NFE) on ImageNet
256x256 trained from scratch, significantly outperforming previous
state-of-the-art one-step diffusion/flow models. Our study substantially
narrows the gap between one-step diffusion/flow models and their multi-step
predecessors, and we hope it will motivate future research to revisit the
foundations of these powerful models.</p>
            
            <p class="paper-tldr"><strong>TLDR</strong>: The paper introduc