coder, mode="reduce-overhead", fullgraph=True)
pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)  Optimizing for memory When optimizing for GPU memory, we can use the standard diffusers CPU offloading APIs. Either the model based CPU offloading,   Copied pipe = DiffusionPipeline.from_pretrained("DeepFloyd/IF-I-XL-v1.0", variant="fp16", torch_dtype=torch.float16)
pipe.enable_model_cpu_offload() or the more aggressive l