code: def test_save_load_optional_components(self):
      pass
  
imports: import random
  import unittest
  import numpy
  import torch
  from transformers import CLIPImageProcessor, CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer, CLIPVisionConfig, CLIPVisionModelWithProjection
  from diffusers import AutoencoderKL, AutoencoderTiny, EulerDiscreteScheduler, LCMScheduler, StableDiffusionXLImg2ImgPipeline, UNet2DConditionModel
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, require_torch_gpu, torch_device
  from ..pipeline_params import IMAGE_TO_IMAGE_IMAGE_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_PARAMS, TEXT_TO_IMAGE_CALLBACK_CFG_PARAMS
  from ..test_pipelines_common import PipelineLatentTesterMixin, PipelineTesterMixin, SDXLOptionalComponentsTesterMixin
label_desc: Use image node_id 10 for calling the StableDiffusionXLImg2ImgPipelineFastTests obj's underlying member method code with example usage: obj.test_save_load_optional_components() without return types