odels/blob/main/scripts/launch.sh#L83
  for _ in range(10):
      image = pipe(timesteps=[17, 0]).images[0]
      image.show()  ConsistencyModelPipeline  class diffusers.ConsistencyModelPipeline  < source > ( unet: UNet2DModel scheduler: CMStochasticIterativeScheduler  )   Parameters   unet (UNet2DModel) —
A UNet2DModel to denoise the encoded image latents.   scheduler (SchedulerMixin) —
A scheduler to be used in combination with unet to denois