code: def sdxl_pipelines(
      self, request
  ) -> Tuple[SamplingPipeline, SamplingPipeline]:
      base_pipeline = SamplingPipeline(request.param[0])
      refiner_pipeline = SamplingPipeline(request.param[1])
      yield base_pipeline, refiner_pipeline
      del base_pipeline
      del refiner_pipeline
      torch.cuda.empty_cache()
  
file_path: generative-models/tests/inference/test_inference.py
imports: import numpy
  from PIL import Image
  import pytest
  from pytest import fixture
  import torch
  from typing import Tuple
  from sgm.inference.api import model_specs, SamplingParams, SamplingPipeline, Sampler, ModelArchitecture
  import sgm.inference.helpers
label_desc: Use image node_id 2 for calling the TestInference obj's underlying member method code with example usage: obj.sdxl_pipelines(request) without return types