Q-VDiT quantizes video diffusion transformers to 3-4 bit weights by adding a learned rank-1 error correction (TQE) and a temporal distribution distillation loss (TMD), nearly doubling VBench scene consistency at W3A6 over prior methods.
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Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
Q-VDiT quantizes video diffusion transformers to 3-4 bit weights by adding a learned rank-1 error correction (TQE) and a temporal distribution distillation loss (TMD), nearly doubling VBench scene consistency at W3A6 over prior methods.