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About this paper
Junxiang Qiu, Shuo Wang, Jinda Lu, Lin Liu, Houcheng Jiang, Xingyu Zhu, Yanbin Hao
The Error-Optimized Cache (EOC) method enhances the efficiency of Diffusion Transformers by actively mitigating errors that accumulate when intermediate features are cached. This approach improves image generation quality, particularly under high caching intensities, achieving up to a 15.1% reduction in FID for aggressive caching with minimal computational overhead.
Key insights
- Caching in Diffusion Transformers leads to accumulating errors that progressively degrade image quality, especially when aggressive caching strategies are employed.
- The impact of caching errors varies significantly with the sampling step; errors in earlier steps are more detrimental due to their prolonged accumulation, while errors in later steps can cause irreversible detail loss.
- Integrating a small, targeted adjustment based on the model's typical step-wise output changes (prior knowledge) into the cached features can effectively counteract error accumulation without incurring substantial computational overhead.
Summary by alphaXiv.
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