code: def register_subcommand(parser: ArgumentParser):
      conversion_parser = parser.add_parser("fp16_safetensors")
      conversion_parser.add_argument(
          "--ckpt_id",
          type=str,
          help="Repo id of the checkpoints on which to run the conversion. Example: 'openai/shap-e'.",
      )
      conversion_parser.add_argument(
          "--fp16",
          action="store_true",
          help="If serializing the variables in FP16 precision.",
      )
      conversion_parser.add_argument(
          "--use_safetensors",
          action="store_true",
          help="If serializing in the safetensors format.",
      )
      conversion_parser.add_argument(
          "--use_auth_token",
          action="store_true",
          help="When working with checkpoints having private visibility. When used `huggingface-cli login` needs to be run beforehand.",
      )
      conversion_parser.set_defaults(func=conversion_command_factory)
  
file_path: llmga/llmga/diffusers/src/diffusers/commands/fp16_safetensors.py
imports: import glob
  import json
  from argparse import ArgumentParser, Namespace
  from importlib import import_module
  import huggingface_hub
  import torch
  from huggingface_hub import hf_hub_download
  from packaging import version
  from ..utils import logging
  from .None import BaseDiffusersCLICommand
label_desc: Use image node_id 1 for calling the FP16SafetensorsCommand obj's underlying member method code with example usage: obj.register_subcommand(parser) without return types