code: def custom_to_pil(x):
      x = x.detach().cpu()
      x = torch.clamp(x, -1.0, 1.0)
      x = (x + 1.0) / 2.0
      x = x.permute(1, 2, 0).numpy()
      x = (255 * x).astype(np.uint8)
      x = Image.fromarray(x)
      if not x.mode == "RGB":
          x = x.convert("RGB")
      return x
  
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 1 for calling a global function with example usage: custom_to_pil(x) and returns: x