implemented for all pipelines (downloading, saving, running on a particular device, etc.).  __call__  < source > ( example_image: Union image: Union mask_image: Union height: Optional = None width: Optional = None num_inference_steps: int = 50 guidance_scale: float = 5.0 negative_prompt: Union = None num_images_per_prompt: Optional = 1 eta: float = 0.0 generator: Union = None latents: Optional = None output_type: Optional = 'pil' return_dict: bool = True callback: Optional = None callback_steps: int = 1  ) → StableDiffusionPipelineOutput or tuple  Parameters   example_image (torch.FloatTensor or PIL.Image.Image or List[PIL.Image.Image]) —