he generated images
  The call function to the pipeline for generation.  Example:   Copied >>> from diffusers import LDMPipeline

>>> # load model and scheduler
>>> pipe = LDMPipeline.from_pretrained("CompVis/ldm-celebahq-256")

>>> # run pipeline in inference (sample random noise and denoise)
>>> image = pipe().images[0]  ImagePipelineOutput  class diffusers.ImagePipelineOutput  < source > ( images: typing.Union[typing.List[PIL.Image.Image], n