docstr: Run as a service.
docstr_tok: ["Run","as","a","service","."]
code: def serving_method(self, text_prompts, init_image, **kwargs):
      """
      Run as a service.
      """
      init_image = Image.open(BytesIO(base64.b64decode(init_image)))
      results = self.generate_image(
          text_prompts=text_prompts, init_image=init_image, **kwargs
      ).to_base64()
      return results
  
imports: import argparse
  import ast
  import base64
  import inspect
  import os
  import random
  import sys
  from functools import partial
  from io import BytesIO
  from typing import List
  from typing import Optional
  import numpy
  import paddle
  from docarray import Document
  from docarray import DocumentArray
  from IPython import display
  from PIL import Image
  from stable_diffusion_img2img.clip.clip.utils import build_model
  from stable_diffusion_img2img.clip.clip.utils import tokenize
  from stable_diffusion_img2img.diffusers import AutoencoderKL
  from stable_diffusion_img2img.diffusers import DDIMScheduler
  from stable_diffusion_img2img.diffusers import LMSDiscreteScheduler
  from stable_diffusion_img2img.diffusers import PNDMScheduler
  from stable_diffusion_img2img.diffusers import UNet2DConditionModel
  from stable_diffusion_img2img.utils import preprocess
  from tqdm.auto import tqdm
  import paddlehub
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
  from paddlehub.module.module import serving
label_desc: Use image node_id 3 for calling the StableDiffusionImg2Img obj's underlying member method code with example usage: obj.serving_method(text_prompts, init_image) and returns: results