code: def main(model_path, output_path):
      # Load your original U-Net model
      unet_state_dict = load_file(model_path)
  
      # Initialize your Kandinsky3UNet model
      config = {}
  
      # Convert the state dict
      converted_state_dict = convert_state_dict(unet_state_dict)
  
      unet = Kandinsky3UNet(config)
      unet.load_state_dict(converted_state_dict)
  
      unet.save_pretrained(output_path)
      print(f"Converted model saved to {output_path}")
  
imports: import argparse
  import fnmatch
  from safetensors.torch import load_file
  from diffusers import Kandinsky3UNet
label_desc: Use image node_id 2 for calling a global function with example usage: main(model_path, output_path) without return types