TQ-DiT quantizes diffusion transformers to 8-bit and 6-bit precision by grouping timesteps and splitting activations into multiple regions, reporting FID 4.91 at W8A8 and 8.58 at W6A6 on ImageNet 256x256 DiT-XL-2.
End-to-end object detection with transformers,
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TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers
TQ-DiT quantizes diffusion transformers to 8-bit and 6-bit precision by grouping timesteps and splitting activations into multiple regions, reporting FID 4.91 at W8A8 and 8.58 at W6A6 on ImageNet 256x256 DiT-XL-2.