code: def test_pipe_auto(self):
      for (
          model_name,
          model_repo,
      ) in PRETRAINED_MODEL_REPO_MAPPING.items():
          # test txt2img
          pipe_txt2img = AutoPipelineForText2Image.from_pretrained(
              model_repo, variant="fp16", torch_dtype=torch.float16
          )
          self.assertIsInstance(
              pipe_txt2img,
              AUTO_TEXT2IMAGE_PIPELINES_MAPPING[model_name],
          )
  
          pipe_to = AutoPipelineForText2Image.from_pipe(pipe_txt2img)
          self.assertIsInstance(
              pipe_to, AUTO_TEXT2IMAGE_PIPELINES_MAPPING[model_name]
          )
  
          pipe_to = AutoPipelineForImage2Image.from_pipe(pipe_txt2img)
          self.assertIsInstance(
              pipe_to, AUTO_IMAGE2IMAGE_PIPELINES_MAPPING[model_name]
          )
  
          if "kandinsky" not in model_name:
              pipe_to = AutoPipelineForInpainting.from_pipe(
                  pipe_txt2img
              )
              self.assertIsInstance(
                  pipe_to, AUTO_INPAINT_PIPELINES_MAPPING[model_name]
              )
  
          del pipe_txt2img, pipe_to
          gc.collect()
  
          # test img2img
  
          pipe_img2img = AutoPipelineForImage2Image.from_pretrained(
              model_repo, variant="fp16", torch_dtype=torch.float16
          )
          self.assertIsInstance(
              pipe_img2img,
              AUTO_IMAGE2IMAGE_PIPELINES_MAPPING[model_name],
          )
  
          pipe_to = AutoPipelineForText2Image.from_pipe(pipe_img2img)
          self.assertIsInstance(
              pipe_to, AUTO_TEXT2IMAGE_PIPELINES_MAPPING[model_name]
          )
  
          pipe_to = AutoPipelineForImage2Image.from_pipe(pipe_img2img)
          self.assertIsInstance(
              pipe_to, AUTO_IMAGE2IMAGE_PIPELINES_MAPPING[model_name]
          )
  
          if "kandinsky" not in model_name:
              pipe_to = AutoPipelineForInpainting.from_pipe(
                  pipe_img2img
              )
              self.assertIsInstance(
                  pipe_to, AUTO_INPAINT_PIPELINES_MAPPING[model_name]
              )
  
          del pipe_img2img, pipe_to
          gc.collect()
  
          # test inpaint
  
          if "kandinsky" not in model_name:
              pipe_inpaint = AutoPipelineForInpainting.from_pretrained(
                  model_repo, variant="fp16", torch_dtype=torch.float16
              )
              self.assertIsInstance(
                  pipe_inpaint,
                  AUTO_INPAINT_PIPELINES_MAPPING[model_name],
              )
  
              pipe_to = AutoPipelineForText2Image.from_pipe(
                  pipe_inpaint
              )
              self.assertIsInstance(
                  pipe_to, AUTO_TEXT2IMAGE_PIPELINES_MAPPING[model_name]
              )
  
              pipe_to = AutoPipelineForImage2Image.from_pipe(
                  pipe_inpaint
              )
              self.assertIsInstance(
                  pipe_to,
                  AUTO_IMAGE2IMAGE_PIPELINES_MAPPING[model_name],
              )
  
              pipe_to = AutoPipelineForInpainting.from_pipe(
                  pipe_inpaint
              )
              self.assertIsInstance(
                  pipe_to, AUTO_INPAINT_PIPELINES_MAPPING[model_name]
              )
  
              del pipe_inpaint, pipe_to
              gc.collect()
  
imports: import gc
  import os
  import shutil
  import unittest
  from collections import OrderedDict
  from pathlib import Path
  import torch
  from diffusers import AutoPipelineForImage2Image, AutoPipelineForInpainting, AutoPipelineForText2Image, ControlNetModel, DiffusionPipeline
  from diffusers.pipelines.auto_pipeline import AUTO_IMAGE2IMAGE_PIPELINES_MAPPING, AUTO_INPAINT_PIPELINES_MAPPING, AUTO_TEXT2IMAGE_PIPELINES_MAPPING
  from diffusers.utils.testing_utils import slow
label_desc: Use image node_id 1 for calling the AutoPipelineIntegrationTest obj's underlying member method code with example usage: obj.test_pipe_auto() without return types