Author

Seunghee Han

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Preprint Aug 2026

APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and Quantization

APT, a software-hardware co-designed accelerator for high-resolution DiTs that leverages attention probabilities as a unified importance metric to jointly optimize computation through fine-grained pruning and adaptive precision scaling, and is evaluated on SOTA DiT models including PixArt, Stable Diffusion 3, and FLUX.

Sungyeob Yoo, Seeyeon Kim, Joonyong Park et al. · 0 citations