text: import torch
  import os
  import argparse
  from im2scene import config
  from im2scene.checkpoints import CheckpointIO
  
  parser = argparse.ArgumentParser(
      description='Render images of a GIRAFFE model.'
  )
  parser.add_argument('config', type=str, help='Path to config file.')
  parser.add_argument('--no-cuda', action='store_true', help='Do not use cuda.')
  
  args = parser.parse_args()
  cfg = config.load_config(args.config, 'configs/default.yaml')
  is_cuda = (torch.cuda.is_available() and not args.no_cuda)
  device = torch.device("cuda" if is_cuda else "cpu")
  out_dir = cfg['training']['out_dir']
  render_dir = os.path.join(out_dir, cfg['rendering']['render_dir'])
  if not os.path.exists(render_dir):
      os.makedirs(render_dir)
  
  # Model
  model = config.get_model(cfg, device=device)
  
  checkpoint_io = CheckpointIO(out_dir, model=model)
  checkpoint_io.load(cfg['test']['model_file'])
  
  # Generator
  renderer = config.get_renderer(model, cfg, device=device)
  
  model.eval()
  out = renderer.render_full_visualization(
      render_dir,
      cfg['rendering']['render_program'])
  