     torch_dtype=torch.float16,
... )
>>> pipe = pipe.to("cuda")

>>> image = pipe(image=init_image, mask_image=mask_image, example_image=example_image).images[0]
>>> image  StableDiffusionPipelineOutput  class diffusers.pipelines.stable_diffusion.StableDiffusionPipelineOutput  < source > ( images: Union nsfw_content_detected: Optional  )   Parameters   images (List[PIL.Image.Image] or np.ndarray) —
List of denoised PIL images of length batch_s