OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers

OrbitQuant is a new method for efficient post-training quantization of diffusion transformers, enabling high-quality image and video generation at lower bit rates. It achieves state-of-the-art results on several models, including FLUX.1 and CogVideoX. This research could lead to more efficient AI models for image and video generation.

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