noise_level increases the variance in the final un-noised images. The noise is applied in two ways: A noise schedule is applied directly to the embeddings. A vector of sinusoidal time embeddings are appended to the output. In both cases, the amount of noise is controlled by the same noise_level. The embeddings are normalized before the noise is applied and un-normalized after the noise is applied.  ImagePipelineOutput  class diffusers.ImagePipelineOutput  < source > ( images: Union  )   Parameters   images (List[PIL.Image.Image] or np.ndarray) —