                     "\nL|villain: 128px in/out model from villainguy. Very resource hungry (You "
                     "will require a GPU with a fair amount of VRAM). Good for details, but more "
                     "susceptible to color differences.")))
          argument_list.append(dict(
              opts=("-bs", "--batch-size"),
              action=Slider,
              min_max=(1, 256),
              rounding=1,
 
</s> remove #: lib/cli/args.py:952
 </s> add #: lib/cli/args.py:962 </s> remove #: lib/cli/args.py:964
 </s> add #: lib/cli/args.py:974 </s> remove #: lib/cli/args.py:1004
 </s> add #: lib/cli/args.py:1014 </s> remove #: lib/cli/args.py:1087
 </s> add #: lib/cli/args.py:1097 </s> remove #: lib/cli/args.py:1096
 </s> add #: lib/cli/args.py:1106
        argument_list.append(dict(
            opts=("-su", "--summary"),
            action="store_true",
            dest="summary",
            default=False,
            group=_("model"),
            help=_("Output a summary of the model and exit. If a model folder is provided then a "
                   "summary of the saved model is displayed. Otherwise a summary of the model "
                   "that would be created by the chosen plugin and configuration settings is "
                   "displayed.")))
                     "\nL|villain: 128px in/out model from villainguy. Very resource hungry (You "
                     "will require a GPU with a fair amount of VRAM). Good for details, but more "
                     "susceptible to color differences.")))
        argument_list.append(dict(
            opts=("-su", "--summary"),
            action="store_true",
            dest="summary",
            default=False,
            group=_("model"),
            help=_("Output a summary of the model and exit. If a model folder is provided then a "
                   "summary of the saved model is displayed. Otherwise a summary of the model "
                   "that would be created by the chosen plugin and configuration settings is "
                   "displayed.")))
          argument_list.append(dict(
              opts=("-bs", "--batch-size"),
              action=Slider,
              min_max=(1, 256),
              rounding=1,
keep keep add keep keep keep keep keep
 train - Add option to output model summary and exit 
lib/cli/args.py