code: def load_model_from_config(config, sd):
      model = instantiate_from_config(config)
      model.load_state_dict(sd, strict=False)
      model.cuda()
      model.eval()
      return model
  
imports: import argparse
  import datetime
  import glob
  import os
  import sys
  import time
  import numpy
  import torch
  import yaml
  from ldm.models.diffusion.ddim import DDIMSampler
  from ldm.util import instantiate_from_config
  from omegaconf import OmegaConf
  from PIL import Image
  from tqdm import trange
label_desc: Use image node_id 10 for calling a global function with example usage: load_model_from_config(config, sd) and returns: model