 use the ultra-lightweight PyTorch quantization library, torchao (commit SHA 54bcd5a10d0abbe7b0c045052029257099f83fd9), to apply dynamic int8 quantization to the UNet and VAE. Quantization adds additional conversion overhead to the model that is hopefully made up for by faster matmuls (dynamic quantization). If the matmuls are too small, these techniques may degrade performance. First, configure all the compiler tags:   Copied from diffusers im