docstr: Add the command input options.
docstr_tok: ["Add","the","command","input","options","."]
code: def add_module_input_arg(self):
      """
      Add the command input options.
      """
      self.arg_input_group.add_argument("--text_prompts", type=str)
      self.arg_input_group.add_argument(
          "--style",
          type=str,
          default=None,
          help="Image style, such as oil paintings, if specified, style will be used to construct prompts.",
      )
      self.arg_input_group.add_argument(
          "--artist",
          type=str,
          default=None,
          help="Artist style, if specified, style will be used to construct prompts.",
      )
      self.arg_input_group.add_argument(
          "--init_image",
          type=str,
          default=None,
          help="Recall that in the image sequence above, the first image shown is just noise.  If an init_image is provided, diffusion will replace the noise with the init_image as its starting state.  To use an init_image, upload the image to the Colab instance or your Google Drive, and enter the full image path here. If using an init_image, you may need to increase skip_steps to ~ 50% of total steps to retain the character of the init. See skip_steps above for further discussion.",
      )
      self.arg_input_group.add_argument(
          "--width_height",
          type=ast.literal_eval,
          default=[1280, 768],
          help="Desired final image size, in pixels. You can have a square, wide, or tall image, but each edge length should be set to a multiple of 64px, and a minimum of 512px on the default CLIP model setting.  If you forget to use multiples of 64px in your dimensions, DD will adjust the dimensions of your image to make it so.",
      )
      self.arg_input_group.add_argument(
          "--n_batches",
          type=int,
          default=1,
          help="This variable sets the number of still images you want DD to create.  If you are using an animation mode (see below for details) DD will ignore n_batches and create a single set of animated frames based on the animation settings.",
      )
      self.arg_input_group.add_argument(
          "--batch_size", type=int, default=1, help="Batch size."
      )
      self.arg_input_group.add_argument(
          "--batch_name",
          type=str,
          default="",
          help='The name of the batch, the batch id will be named as "discoart-[batch_name]-seed". To avoid your artworks be overridden by other users, please use a unique name.',
      )
  
imports: import argparse
  import ast
  import os
  import sys
  from functools import partial
  from typing import List
  from typing import Optional
  import paddle
  from disco_diffusion_ernievil_base import resize_right
  from disco_diffusion_ernievil_base.reverse_diffusion import create
  from disco_diffusion_ernievil_base.vit_b_16x import ernievil2
  import paddlehub
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
  from paddlehub.module.module import serving
label_desc: Use image node_id 5 for calling the DiscoDiffusionClip obj's underlying member method code with example usage: obj.add_module_input_arg() without return types