
  The call function to the pipeline for generation.  Example:   Copied >>> from diffusers import DDPMPipeline

>>> # load model and scheduler
>>> pipe = DDPMPipeline.from_pretrained("google/ddpm-cat-256")

>>> # run pipeline in inference (sample random noise and denoise)
>>> image = pipe().images[0]

>>> # save image
>>> image.save("ddpm_generated_image.png")  ImagePipelineOutput  class diffusers.ImagePipelineOutput  < source > ( images: Union