 diffusers.AmusedPipeline  < source > ( vqvae: VQModel tokenizer: CLIPTokenizer text_encoder: CLIPTextModelWithProjection transformer: UVit2DModel scheduler: AmusedScheduler  )     __call__  < source > ( prompt: Union = None height: Optional = None width: Optional = None num_inference_steps: int = 12 guidance_scale: float = 10.0 negative_prompt: Union = None num_images_per_prompt: Optional = 1 generator: Optional = None latents: Optional = None