code: def __init__(self, pipeline: StableDiffusionPipeline):
      self.pipeline = pipeline
  
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 2 to create a new DiffusionInferenceLearner object from inherited base classes: BaseInferenceLearner, ABC with example: obj = DiffusionInferenceLearner(pipeline)