or our amazing one-step pipeline, create a random image and only call the unet and scheduler once by setting timestep=1:   Copied   from diffusers import DiffusionPipeline
  import torch

  class UnetSchedulerOneForwardPipeline(DiffusionPipeline):
      def __init__(self, unet, scheduler):
          super().__init__()

          self.register_modules(unet=unet, scheduler=scheduler)

+     def __call__(self):
+         image = torch.randn(
+    