mentation, we found that certain linear layers in the UNet and the VAE don’t benefit from dynamic int8 quantization. You can check out the full code for filtering those layers here (referred to as dynamic_quant_filter_fn below). You will leverage the ultra-lightweight pure PyTorch library torchao to use its user-friendly APIs for quantization. First, configure all the compiler tags:   Copied from diffusers import StableDiffusionXLPipeline
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