or saving LoRA weights  __call__  < source > ( prompt: Union = None image: Union = None depth_map: Optional = None strength: float = 0.8 num_inference_steps: Optional = 50 guidance_scale: Optional = 7.5 negative_prompt: Union = None num_images_per_prompt: Optional = 1 eta: Optional = 0.0 generator: Union = None prompt_embeds: Optional = None negative_prompt_embeds: Optional = None output_type: Optional = 'pil' return_dict: bool = True cross_att