code: def save_image(self, epoch, iteration, img=None):
      sequence_number = self.get_img_sequence_number(epoch, iteration)
  
      if img is None:
          img = (
              self.model(self.clip_encoding, return_loss=False)
              .cpu()
              .float()
              .clamp(0.0, 1.0)
          )
      self.filename = self.image_output_path(
          sequence_number=sequence_number
      )
  
      pil_img = T.ToPILImage()(img.squeeze())
      pil_img.save(self.filename, quality=95, subsampling=0)
      pil_img.save(f"{self.textpath}.jpg", quality=95, subsampling=0)
  
      tqdm.write(f'image updated at "./{str(self.filename)}"')
  
imports: import os
  import subprocess
  import sys
  import random
  from datetime import datetime
  from pathlib import Path
  import torch
  import torch.nn.functional
  from siren_pytorch import SirenNet, SirenWrapper
  from torch import nn
  from torch.cuda.amp import GradScaler, autocast
  from torch_optimizer import DiffGrad, AdamP
  import numpy
  from PIL import Image
  from imageio import imread, mimsave
  import torchvision.transforms
  from tqdm import trange, tqdm
  from .clip import load, tokenize
label_desc: Use image node_id 11 for calling the Imagine obj's underlying member method code with example usage: obj.save_image(epoch, iteration, img) without return types