Preprint
Aug 2026
Memory-Efficient Training-Free Acceleration of Diffusion Transformers with BaryCache
This work proposes a training-free acceleration method that performs stepwise forecasting for DiT sampling using a Barycentric Extrapolator and provides a favorable trade-off between memory usage and perceptual quality, while delivering up to 3.30x end-to-end sampling speedup compared with baseline DiT inference.
Cheng-Jie Lu, Tianchi Deng, Zheng He et al.
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