code: def __call__(self, *args, **kwargs):
      return self.pipeline(*args, **kwargs)
  
imports: from abc import ABC
  from collections import OrderedDict
  from pathlib import Path
  from typing import List, Any, Dict, Union
  from nebullvm.operations.inference_learners.base import InferenceLearnerWrapper, PytorchBaseInferenceLearner, LearnerMetadata, BaseInferenceLearner
  from nebullvm.optional_modules.diffusers import StableDiffusionPipeline
  from nebullvm.optional_modules.torch import torch
  from nebullvm.tools.diffusers import postprocess_diffusers
  from nebullvm.tools.huggingface import restructure_output
  from nebullvm.tools.pytorch import get_torch_model_size
label_desc: Use image node_id 3 for calling the DiffusionInferenceLearner obj's underlying member method code with example usage: obj.__call__() and returns: self