              group="augmentation",
              help="Color augmentation helps make the model less susceptible to color "
                   "differences between the A and B sets, at an increased training time cost. "
                   "Enable this option to disable color augmentation."))
          return argument_list
  
  
  class GuiArgs(FaceSwapArgs):
 
</s> remove     disable_warp=dict(
        default=False,
        info="Disable warp augmentation. Warping is integral to the Neural Network training. If "
             "you decide to disable warping, you should only do so towards the end of a model's "
             "training session.",
        datatype=bool,
        group="image augmentation",
        fixed=False),
 </s> add  </s> remove         if not self._config["disable_warp"]:
 </s> add         if self._no_warp:
            processed["feed"] = [self._processing.skip_warp(batch[..., :3])]
        else: </s> remove                  no_flip, warp_to_landmarks, alignments, config):
 </s> add                  no_flip, no_warp, warp_to_landmarks, alignments, config):
        argument_list.append(dict(
            opts=("-nw", "--no-warp"),
            action="store_true",
            dest="no_warp",
            default=False,
            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."))
              group="augmentation",
              help="Color augmentation helps make the model less susceptible to color "
                   "differences between the A and B sets, at an increased training time cost. "
                   "Enable this option to disable color augmentation."))
        argument_list.append(dict(
            opts=("-nw", "--no-warp"),
            action="store_true",
            dest="no_warp",
            default=False,
            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."))
          return argument_list
  
  
  class GuiArgs(FaceSwapArgs):
keep keep keep add keep keep keep keep
 Training - Move disable warp option out of config 
lib/cli/args.py