   <p class="paper-tldr"><strong>TLDR</strong>: This paper introduces Normalized Attention Guidance (NAG), a training-free, universal negative guidance method for diffusion models that improves text alignment, fidelity, and perceived quality, especially in few-step sampling.</p>
            
            
            <p class="paper-tldr"><strong>TLDR</strong>: 该论文介绍了一种名为归一化注意力引导（NAG）的无需训练的通用负引导方法，用于扩散模型，该方法可以提高�