library implements for all the pipelines (such as downloading or saving, running on a particular device, etc.)  __call__  < source > ( image_embeddings: Union prompt: Union = None num_inference_steps: int = 10 guidance_scale: float = 0.0 negative_prompt: Union = None prompt_embeds: Optional = None negative_prompt_embeds: Optional = None num_images_per_prompt: int = 1 generator: Union = None latents: Optional = None output_type: Optional = 'pil' return_dict: bool = True callback_on_step_end: Optional = None callback_on_step_end_tensor_inputs: List = ['latents']  )   Parameters   image_embedding (torch.FloatTensor or List[torch.FloatTensor]) —