                                        "well. Very configurable."
                                        "\nL|villain: 128px in/out model from villainguy. Very "
                                        "resource hungry (11GB for batchsize 16). Good for "
                                        "details, but more susceptible to color differences."})
          argument_list.append({"opts": ("-to", "--timelapse-output"),
                                "action": DirFullPaths,
                                "dest": "timelapse_output",
                                "default": None,
                                "help": "The output folder for the timelapse. "
                                        "If the input folders are supplied but "
                                        "no output folder, it will default to "
                                        "your model folder /timelapse/"})
          argument_list.append({"opts": ("-m", "--model-dir"),
                                "action": DirFullPaths,
                                "dest": "model_dir",
                                "required": True,
                                "help": "Model directory. This is where the training data will be "
                                        "stored."})
          argument_list.append({"opts": ("-s", "--save-interval"),
                                "type": int,
                                "action": Slider,
                                "min_max": (10, 1000),
                                "rounding": 10,
 
</s> remove                               "help": "For if you want a timelapse: "
                                      "The input folder for the timelapse. "
                                      "This folder should contain faces of B "
                                      "which will be converted for the "
                                      "timelapse. You must supply a "
                                      "--timelapse-output and a "
                                      "--timelapse-input-A parameter."})
 </s> add                               "help": "Optional for creating a timelapse. Timelapse will save an "
                                      "image of your selected faces into the timelapse-output "
                                      "folder at every save iteration. This should be the "
                                      "input folder of 'B' faces that you would like to use for "
                                      "creating the timelapse. You must also supply a "
                                      "--timelapse-output and a --timelapse-input-A parameter."})
        argument_list.append({"opts": ("-to", "--timelapse-output"),
                              "action": DirFullPaths,
                              "dest": "timelapse_output",
                              "default": None,
                              "help": "Optional for creating a timelapse. Timelapse will save an "
                                      "image of your selected faces into the timelapse-output "
                                      "folder at every save iteration. If the input folders are "
                                      "supplied but no output folder, it will default to your "
                                      "model folder /timelapse/"})
        argument_list.append({"opts": ("-m", "--model-dir"),
                              "action": DirFullPaths,
                              "dest": "model_dir",
                              "required": True,
                              "help": "Model directory. This is where the training data will be "
                                      "stored. You should always specify a new folder for new "
                                      "models. If starting a new model, select either an empty "
                                      "folder, or a folder which does not exist (which will be "
                                      "created). If continuing to train an existing model, "
                                      "specify the location of the existing model."}) </s> remove                               "help": "Model directory. A directory containing the trained model "
                                      "you wish to process."})
        argument_list.append({"opts": ("-a", "--input-aligned-dir"),
                              "action": DirFullPaths,
                              "dest": "input_aligned_dir",
                              "default": None,
                              "help": "Input \"aligned directory\". A "
                                      "directory that should contain the "
                                      "aligned faces extracted from the input "
                                      "files. If you delete faces from this "
                                      "folder, they'll be skipped during "
                                      "conversion. If no aligned dir is "
                                      "specified, all faces will be "
                                      "converted"})
        argument_list.append({"opts": ("-ref", "--reference-video"),
                              "action": FileFullPaths,
                              "dest": "reference_video",
                              "filetypes": "video",
                              "type": str,
                              "help": "Only required if converting from images to video. Provide "
                                      "The original video that the source frames were extracted "
                                      "from (for extracting the fps and audio)."})
 </s> add                               "help": "Model directory. The directory containing the trained "
                                      "model you wish to use for conversion."}) </s> remove                               "help": "For if you want a timelapse: "
                                      "The input folder for the timelapse. "
                                      "This folder should contain faces of A "
                                      "which will be converted for the "
                                      "timelapse. You must supply a "
                                      "--timelapse-output and a "
                                      "--timelapse-input-B parameter."})
 </s> add                               "help": "Optional for creating a timelapse. Timelapse will save an "
                                      "image of your selected faces into the timelapse-output "
                                      "folder at every save iteration. This should be the "
                                      "input folder of 'A' faces that you would like to use for "
                                      "creating the timelapse. You must also supply a "
                                      "--timelapse-output and a --timelapse-input-B parameter."}) </s> remove                               "help": "Perform extra alignment to ensure "
                                      "left/right eyes are  at the same "
                                      "height"})
 </s> add                               "help": "Perform extra alignment to ensure left/right eyes are at "
                                      "the same height"}) </s> remove                               "help": "Batch size, as a power of 2 (64, 128, 256, etc)"})
 </s> add                               "help": "Batch size. This is the number of images processed through "
                                      "the model for each iteration. Larger batches require more "
                                      "GPU RAM."})
                                        "well. Very configurable."
                                        "\nL|villain: 128px in/out model from villainguy. Very "
                                        "resource hungry (11GB for batchsize 16). Good for "
                                        "details, but more susceptible to color differences."})














          argument_list.append({"opts": ("-s", "--save-interval"),
                                "type": int,
                                "action": Slider,
                                "min_max": (10, 1000),
                                "rounding": 10,
keep keep keep keep replace replace replace replace replace replace replace replace replace replace replace replace replace replace keep keep keep keep keep
 Clarification of helptext in cli.py 
lib/cli.py