              min_max=(0, 5000000),
              rounding=20000,
              type=int,
              default=1000000,
              group="training",
              help="Length of training in iterations. This is only really used for automation. "
                   "There is no 'correct' number of iterations a model should be trained for. "
                   "You should stop training when you are happy with the previews. However, if "
                   "you want the model to stop automatically at a set number of iterations, you "
                   "can set that value here."))
          argument_list.append(dict(
              opts=("-d", "--distributed"),
              action="store_true",
              default=False,
              backend="nvidia",
 
</s> remove             group="training",
            help="Batch size. This is the number of images processed through the model for each "
                 "side per iteration. NB: As the model is fed 2 sides at a time, the actual "
                 "number of images within the model at any one time is double the number that you "
                 "set here. Larger batches require more GPU RAM."))
 </s> add             group=_("training"),
            help=_("Batch size. This is the number of images processed through the model for each "
                   "side per iteration. NB: As the model is fed 2 sides at a time, the actual "
                   "number of images within the model at any one time is double the number that "
                   "you set here. Larger batches require more GPU RAM."))) </s> remove             group="augmentation",
            help="Warping is integral to training the Neural Network. This option should only be "
                 "enabled towards the very end of training to try to bring out more detail. Think "
                 "of it as 'fine-tuning'. Enabling this option from the beginning is likely to "
                 "kill a model and lead to terrible results."))
 </s> add             group=_("augmentation"),
            help=_("Warping is integral to training the Neural Network. This option should only "
                   "be enabled towards the very end of training to try to bring out more detail. "
                   "Think of it as 'fine-tuning'. Enabling this option from the beginning is "
                   "likely to kill a model and lead to terrible results."))) </s> remove             group="output",
            help="Automatically save the alignments file after a set amount of frames. By "
                 "default the alignments file is only saved at the end of the extraction "
                 "process. NB: If extracting in 2 passes then the alignments file will only "
                 "start to be saved out during the second pass. WARNING: Don't interrupt the "
                 "script when writing the file because it might get corrupted. Set to 0 to "
                 "turn off"))
 </s> add             group=_("output"),
            help=_("Automatically save the alignments file after a set amount of frames. By "
                   "default the alignments file is only saved at the end of the extraction "
                   "process. NB: If extracting in 2 passes then the alignments file will only "
                   "start to be saved out during the second pass. WARNING: Don't interrupt the "
                   "script when writing the file because it might get corrupted. Set to 0 to "
                   "turn off"))) </s> remove             group="settings",
            help="[LEGACY] This only needs to be selected if a legacy model is being loaded or "
                 "if there are multiple models in the model folder"))
 </s> add             group=_("settings"),
            help=_("[LEGACY] This only needs to be selected if a legacy model is being loaded or "
                   "if there are multiple models in the model folder"))) </s> remove             group="faces",
            help="Input directory. A directory containing training images for face B. This is "
                 "the swap face, i.e. the face that you want to place onto the head of person "
                 "A."))
 </s> add             group=_("faces"),
            help=_("Input directory. A directory containing training images for face B. This is "
                   "the swap face, i.e. the face that you want to place onto the head of person "
                   "A.")))
            group=_("training"),
            help=_("Length of training in iterations. This is only really used for automation. "
                   "There is no 'correct' number of iterations a model should be trained for. "
                   "You should stop training when you are happy with the previews. However, if "
                   "you want the model to stop automatically at a set number of iterations, you "
                   "can set that value here.")))
              min_max=(0, 5000000),
              rounding=20000,
              type=int,
              default=1000000,
            group=_("training"),
            help=_("Length of training in iterations. This is only really used for automation. "
                   "There is no 'correct' number of iterations a model should be trained for. "
                   "You should stop training when you are happy with the previews. However, if "
                   "you want the model to stop automatically at a set number of iterations, you "
                   "can set that value here.")))
            group=_("training"),
            help=_("Length of training in iterations. This is only really used for automation. "
                   "There is no 'correct' number of iterations a model should be trained for. "
                   "You should stop training when you are happy with the previews. However, if "
                   "you want the model to stop automatically at a set number of iterations, you "
                   "can set that value here.")))
            group=_("training"),
            help=_("Length of training in iterations. This is only really used for automation. "
                   "There is no 'correct' number of iterations a model should be trained for. "
                   "You should stop training when you are happy with the previews. However, if "
                   "you want the model to stop automatically at a set number of iterations, you "
                   "can set that value here.")))
            group=_("training"),
            help=_("Length of training in iterations. This is only really used for automation. "
                   "There is no 'correct' number of iterations a model should be trained for. "
                   "You should stop training when you are happy with the previews. However, if "
                   "you want the model to stop automatically at a set number of iterations, you "
                   "can set that value here.")))
            group=_("training"),
            help=_("Length of training in iterations. This is only really used for automation. "
                   "There is no 'correct' number of iterations a model should be trained for. "
                   "You should stop training when you are happy with the previews. However, if "
                   "you want the model to stop automatically at a set number of iterations, you "
                   "can set that value here.")))
            group=_("training"),
            help=_("Length of training in iterations. This is only really used for automation. "
                   "There is no 'correct' number of iterations a model should be trained for. "
                   "You should stop training when you are happy with the previews. However, if "
                   "you want the model to stop automatically at a set number of iterations, you "
                   "can set that value here.")))
          argument_list.append(dict(
              opts=("-d", "--distributed"),
              action="store_true",
              default=False,
              backend="nvidia",
keep keep keep keep replace replace replace replace replace replace keep keep keep keep keep
 Add Locale support for cli arguments 
lib/cli/args.py