2026
RobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization
ICML 2026poster
Diffusion Transformers (DiTs) have emerged as a powerful backbone for image generation, offering superior scalability over U-Nets. However, their practical deployment is hindered by significant computational costs. While Quantization-Aware Training (QAT) shows promise, its application to DiTs is cha…