       <p class="paper-tldr"><strong>TLDR</strong>: This paper introduces a reinforcement learning framework to optimize text-to-image pipeline design by training reward models to predict image quality, leading to better image quality and diversity compared to existing methods.</p>
            
            
            <p class="paper-tldr"><strong>TLDR</strong>: 本文提出了一种基于强化学习的框架，通过训练奖励模型预测图像质量来优化文本到图像的管道设计，从而获�