 saving LoRA weights  __call__  < source > ( prompt: Union = None height: Optional = None width: Optional = None num_frames: int = 16 num_inference_steps: int = 50 guidance_scale: float = 9.0 negative_prompt: Union = None eta: float = 0.0 generator: Union = None latents: Optional = None prompt_embeds: Optional = None negative_prompt_embeds: Optional = None output_type: Optional = 'np' return_dict: bool = True callback: Optional = None callback_