                                        "converted"})
          argument_list.append({"opts": ("-t", "--trainer"),
                                "type": str.lower,
                                "choices": PluginLoader.get_available_models(),
                                "default": PluginLoader.get_default_model(),
                                "help": "Select the trainer that was used to "
                                        "create the model"})
 
</s> remove                               "help": "R|Select which trainer to use. Trainers can be\n"
                                      "configured from the edit menu or the config folder.\n"
                                      "original: The original model created by /u/deepfakes.\n"
                                      "dfaker: 64px in/128px out model from dfaker.\n"
                                      "\tEnable 'warp-to-landmarks' for full dfaker method.\n"
                                      "dfl-h128. 128px in/out model from deepfacelab\n"
                                      "iae: A model that uses intermediate layers to try to \n"
                                      "\tget better details\n"
                                      "lightweight. A lightweight model for low-end cards. Don't\n"
                                      "\texpect great results. Can train as low as 1.6GB with\n"
                                      "\tbatch size 8.\n"
                                      "unbalanced. 128px in/out model from andenixa. The\n"
                                      "\tautoencoders are unbalanced so B>A swaps won't work so\n"
                                      "well. Very configurable,\n"
                                      "villain: 128px in/out model from villainguy. Very resource"
                                      "\n\thungry (11GB for batchsize 16). Good for details, but\n"
                                      "\tmore susceptible to color differences"})
 </s> add                               "help": "R|Select which trainer to use. Trainers can be"
                                      "\nconfigured from the edit menu or the config folder."
                                      "\n'original': The original model created by /u/deepfakes."
                                      "\n'dfaker': 64px in/128px out model from dfaker."
                                      "\n\tEnable 'warp-to-landmarks' for full dfaker method."
                                      "\n'dfl-h128'. 128px in/out model from deepfacelab"
                                      "\n'iae': A model that uses intermediate layers to try to"
                                      "\n\tget better details"
                                      "\n'lightweight': A lightweight model for low-end cards."
                                      "\n\tDon't expect great results. Can train as low as 1.6GB"
                                      "\n\twith batch size 8."
                                      "\n'unbalanced': 128px in/out model from andenixa. The"
                                      "\n\tautoencoders are unbalanced so B>A swaps won't work so"
                                      "\n\twell. Very configurable,"
                                      "\n'villain': 128px in/out model from villainguy. Very"
                                      "\n\tresource hungry (11GB for batchsize 16). Good for"
                                      "\n\tdetails, but more susceptible to color differences"})
                              "action": Radio,
                                        "converted"})
          argument_list.append({"opts": ("-t", "--trainer"),
                              "action": Radio,
                                "type": str.lower,
                                "choices": PluginLoader.get_available_models(),
                                "default": PluginLoader.get_default_model(),
                                "help": "Select the trainer that was used to "
                                        "create the model"})
keep add keep keep keep keep keep
 Add radio buttons for certain GUI options 
lib/cli.py