Revolutionizing Diffusion Model Training: How Direct-Align and SRPO Achieve 38.9% Realism Boost

Introduction: Bridging the Gap Between AI Theory and Practical Application In the rapidly evolving field of generative AI, diffusion models have emerged as powerful tools for creating high-quality images. However, their training processes often suffer from inefficiencies and challenges that limit their real-world applicability. This article delves into a pioneering approach developed by Tencent’s Hunyuan Lab—a framework combining Direct-Align and Semantic Relative Preference Optimization (SRPO)—to address these limitations. By integrating advanced techniques in noise control, reward modeling, and computational efficiency, this method achieves unprecedented improvements in image realism and aesthetic quality while maintaining accessibility for junior college graduates and above. …