ts into multiple pipelines.  Kandinsky3Pipeline  class diffusers.Kandinsky3Pipeline  < source > ( tokenizer: T5Tokenizer text_encoder: T5EncoderModel unet: Kandinsky3UNet scheduler: DDPMScheduler movq: VQModel  )     __call__  < source > ( prompt: Union = None num_inference_steps: int = 25 guidance_scale: float = 3.0 negative_prompt: Union = None num_images_per_prompt: Optional = 1 height: Optional = 1024 width: Optional = 1024 generator: Union