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12/14/2023 03:36:06 MainProcess _training config _load_defaults_from_module DEBUG Adding defaults: (filename: original_defaults.py, module_path: plugins.train.trainer, plugin_type: trainer
12/14/2023 03:36:06 MainProcess _training config _load_defaults_from_module DEBUG Importing defaults module: plugins.train.trainer.original_defaults
12/14/2023 03:36:06 MainProcess _training config add_section DEBUG Add section: (title: 'trainer.original', info: 'Original Trainer Options.\nWARNING: The defaults for augmentation will be fine for 99.9% of use cases. Only change them if you absolutely know what you are doing!')
12/14/2023 03:36:06 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'preview_images', datatype: '<class 'int'>', default: '14', info: 'Number of sample faces to display for each side in the preview when training.', rounding: '2', min_max: (2, 16), choices: None, gui_radio: False, fixed: True, group: evaluation)
12/14/2023 03:36:06 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'mask_opacity', datatype: '<class 'int'>', default: '30', info: 'The opacity of the mask overlay in the training preview. Lower values are more transparent.', rounding: '2', min_max: (0, 100), choices: None, gui_radio: False, fixed: True, group: evaluation)
12/14/2023 03:36:06 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'mask_color', datatype: '<class 'str'>', default: '#ff0000', info: 'The RGB hex color to use for the mask overlay in the training preview.', rounding: 'None', min_max: None, choices: colorchooser, gui_radio: False, fixed: True, group: evaluation)
12/14/2023 03:36:06 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'zoom_amount', datatype: '<class 'int'>', default: '5', info: 'Percentage amount to randomly zoom each training image in and out.', rounding: '1', min_max: (0, 25), choices: None, gui_radio: False, fixed: True, group: image augmentation)
12/14/2023 03:36:06 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'rotation_range', datatype: '<class 'int'>', default: '10', info: 'Percentage amount to randomly rotate each training image.', rounding: '1', min_max: (0, 25), choices: None, gui_radio: False, fixed: True, group: image augmentation)
12/14/2023 03:36:06 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'shift_range', datatype: '<class 'int'>', default: '5', info: 'Percentage amount to randomly shift each training image horizontally and vertically.', rounding: '1', min_max: (0, 25), choices: None, gui_radio: False, fixed: True, group: image augmentation)
12/14/2023 03:36:06 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'flip_chance', datatype: '<class 'int'>', default: '50', info: 'Percentage chance to randomly flip each training image horizontally.\nNB: This is ignored if the 'no-flip' option is enabled', rounding: '1', min_max: (0, 75), choices: None, gui_radio: False, fixed: True, group: image augmentation)
12/14/2023 03:36:06 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'color_lightness', datatype: '<class 'int'>', default: '30', info: 'Percentage amount to randomly alter the lightness of each training image.\nNB: This is ignored if the 'no-augment-color' option is enabled', rounding: '1', min_max: (0, 75), choices: None, gui_radio: False, fixed: True, group: color augmentation)
12/14/2023 03:36:06 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'color_ab', datatype: '<class 'int'>', default: '8', info: 'Percentage amount to randomly alter the 'a' and 'b' colors of the L*a*b* color space of each training image.\nNB: This is ignored if the 'no-augment-color' optionis enabled', rounding: '1', min_max: (0, 50), choices: None, gui_radio: False, fixed: True, group: color augmentation)
12/14/2023 03:36:06 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'color_clahe_chance', datatype: '<class 'int'>', default: '50', info: 'Percentage chance to perform Contrast Limited Adaptive Histogram Equalization on each training image.\nNB: This is ignored if the 'no-augment-color' option is enabled', rounding: '1', min_max: (0, 75), choices: None, gui_radio: False, fixed: False, group: color augmentation)
12/14/2023 03:36:06 MainProcess _training config add_item DEBUG Add item: (section: 'trainer.original', title: 'color_clahe_max_size', datatype: '<class 'int'>', default: '4', info: 'The grid size dictates how much Contrast Limited Adaptive Histogram Equalization is performed on any training image selected for clahe. Contrast will be applied randomly with a gridsize of 0 up to the maximum. This value is a multiplier calculated from the training image size.\nNB: This is ignored if the 'no-augment-color' option is enabled', rounding: '1', min_max: (1, 8), choices: None, gui_radio: False, fixed: True, group: color augmentation)
12/14/2023 03:36:06 MainProcess _training config _load_defaults_from_module DEBUG Added defaults: trainer.original
12/14/2023 03:36:06 MainProcess _training config _handle_config DEBUG Handling config: (section: model.original, configfile: 'C:\Users\Krstan\faceswap\config\train.ini')
12/14/2023 03:36:06 MainProcess _training config _check_exists DEBUG Config file exists: 'C:\Users\Krstan\faceswap\config\train.ini'
12/14/2023 03:36:06 MainProcess _training config _load_config VERBOSE Loading config: 'C:\Users\Krstan\faceswap\config\train.ini'
12/14/2023 03:36:06 MainProcess _training config _validate_config DEBUG Validating config
12/14/2023 03:36:06 MainProcess _training config _check_config_change DEBUG Default config has not changed
12/14/2023 03:36:06 MainProcess _training config _check_config_choices DEBUG Checking config choices
12/14/2023 03:36:06 MainProcess _training config _parse_list DEBUG Processed raw option 'keras_encoder' to list ['keras_encoder'] for section 'model.phaze_a', option 'freeze_layers'
12/14/2023 03:36:06 MainProcess _training config _parse_list DEBUG Processed raw option 'encoder' to list ['encoder'] for section 'model.phaze_a', option 'load_layers'
12/14/2023 03:36:06 MainProcess _training config _check_config_choices DEBUG Checked config choices
12/14/2023 03:36:06 MainProcess _training config _validate_config DEBUG Validated config
12/14/2023 03:36:06 MainProcess _training config _handle_config DEBUG Handled config
12/14/2023 03:36:06 MainProcess _training config __init__ DEBUG Initialized: Config
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'learning_rate')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'float'>, value: 5e-05)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'epsilon_exponent')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: -7)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'save_optimizer')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'str'>, value: exit)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'autoclip')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'bool'>, value: False)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'allow_growth')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'bool'>, value: False)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'mixed_precision')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'bool'>, value: False)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'nan_protection')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'bool'>, value: True)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global', option: 'convert_batchsize')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: 16)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_function')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'str'>, value: ssim)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_function_2')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'str'>, value: mse)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_weight_2')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: 100)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_function_3')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'str'>, value: None)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_weight_3')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: 0)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_function_4')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'str'>, value: None)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_weight_4')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: 0)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'mask_loss_function')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'str'>, value: mse)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'eye_multiplier')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: 3)
12/14/2023 03:36:06 MainProcess _training config get DEBUG Getting config item: (section: 'global.loss', option: 'mouth_multiplier')
12/14/2023 03:36:06 MainProcess _training config get DEBUG Returning item: (type: <class 'int'>, value: 2)
12/14/2023 03:36:06 MainProcess _training config changeable_items DEBUG Alterable for existing models: {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}
12/14/2023 03:36:06 MainProcess _training model __init__ DEBUG Initializing State: (model_dir: 'D:\Krstan\Media Files\Kino\Face\Katheryn Winnick\ModelKS', model_name: 'original', config_changeable_items: '{'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}', no_logs: False
12/14/2023 03:36:06 MainProcess _training serializer get_serializer DEBUG <lib.serializer._JSONSerializer object at 0x000002B2AAC06E30>
12/14/2023 03:36:06 MainProcess _training model _load DEBUG Loading State
12/14/2023 03:36:06 MainProcess _training serializer load DEBUG filename: D:\Krstan\Media Files\Kino\Face\Katheryn Winnick\ModelKS\original_state.json
12/14/2023 03:36:06 MainProcess _training serializer load DEBUG stored data type: <class 'bytes'>
12/14/2023 03:36:06 MainProcess _training serializer unmarshal DEBUG data type: <class 'bytes'>
12/14/2023 03:36:06 MainProcess _training serializer unmarshal DEBUG returned data type: <class 'dict'>
12/14/2023 03:36:06 MainProcess _training serializer load DEBUG data type: <class 'dict'>
12/14/2023 03:36:06 MainProcess _training model _load DEBUG Loaded state: {'name': 'original', 'sessions': {'1': {'timestamp': 1701781839.726914, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 10000, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '2': {'timestamp': 1701809681.0274732, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 27000, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '3': {'timestamp': 1701817739.0616052, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 16500, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '4': {'timestamp': 1701822397.273921, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 26750, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '5': {'timestamp': 1701870494.6018848, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 32250, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '6': {'timestamp': 1701902365.8886678, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 39250, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '7': {'timestamp': 1701912969.6696975, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 20250, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '8': {'timestamp': 1701919121.3341663, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 54000, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '9': {'timestamp': 1701956835.932841, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 96000, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '10': {'timestamp': 1701990948.3299236, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 1, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '11': {'timestamp': 1701991109.323849, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 47250, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '12': {'timestamp': 1702005754.57795, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 12250, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '13': {'timestamp': 1702043353.591677, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 16250, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '14': {'timestamp': 1702067942.4673264, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 51000, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '15': {'timestamp': 1702096221.8046615, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 40500, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '16': {'timestamp': 1702108030.8833964, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 10000, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '17': {'timestamp': 1702142844.502077, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 1750, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '18': {'timestamp': 1702229308.6918175, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 7500, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '19': {'timestamp': 1702237227.172034, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 5500, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '20': {'timestamp': 1702239172.8819082, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 22500, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '21': {'timestamp': 1702296169.5863414, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 107250, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '22': {'timestamp': 1702329464.912981, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 64, 'iterations': 12250, 'config': {'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2}}}, 'lowest_avg_loss': {'a': 0.008340940507128835, 'b': 0.007072083059698343}, 'iterations': 656001, 'mixed_precision_layers': ['conv_128_0_conv2d', 'conv_128_0_leakyrelu', 'conv_256_0_conv2d', 'conv_256_0_leakyrelu', 'conv_512_0_conv2d', 'conv_512_0_leakyrelu', 'conv_1024_0_conv2d', 'conv_1024_0_leakyrelu', 'flatten', 'dense', 'dense_1', 'reshape', 'upscale_512_0_conv2d_conv2d', 'upscale_512_0_conv2d_leakyrelu', 'upscale_512_0_pixelshuffler', 'upscale_256_0_conv2d_conv2d', 'upscale_256_0_conv2d_leakyrelu', 'upscale_256_0_pixelshuffler', 'upscale_128_0_conv2d_conv2d', 'upscale_128_0_conv2d_leakyrelu', 'upscale_128_0_pixelshuffler', 'upscale_64_0_conv2d_conv2d', 'upscale_64_0_conv2d_leakyrelu', 'upscale_64_0_pixelshuffler', 'face_out_a_0_conv2d', 'upscale_256_1_conv2d_conv2d', 'upscale_256_1_conv2d_leakyrelu', 'upscale_256_1_pixelshuffler', 'upscale_128_1_conv2d_conv2d', 'upscale_128_1_conv2d_leakyrelu', 'upscale_128_1_pixelshuffler', 'upscale_64_1_conv2d_conv2d', 'upscale_64_1_conv2d_leakyrelu', 'upscale_64_1_pixelshuffler', 'face_out_b_0_conv2d'], 'config': {'centering': 'face', 'coverage': 87.5, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'lr_finder_iterations': 1000, 'lr_finder_mode': 'set', 'lr_finder_strength': 'default', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'lowmem': False}}
12/14/2023 03:36:06 MainProcess _training model _update_legacy_config DEBUG Checking for legacy state file update
12/14/2023 03:36:06 MainProcess _training model _update_legacy_config DEBUG Legacy item 'dssim_loss' not in config. Skipping update
12/14/2023 03:36:06 MainProcess _training model _update_legacy_config DEBUG Legacy item 'l2_reg_term' not in config. Skipping update
12/14/2023 03:36:06 MainProcess _training model _update_legacy_config DEBUG Legacy item 'clipnorm' not in config. Skipping update
12/14/2023 03:36:06 MainProcess _training model _update_legacy_config DEBUG State file updated for legacy config: False
12/14/2023 03:36:06 MainProcess _training model _replace_config DEBUG Replacing config. Old config: {'centering': 'face', 'coverage': 87.5, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'lr_finder_iterations': 1000, 'lr_finder_mode': 'set', 'lr_finder_strength': 'default', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'lowmem': False}
12/14/2023 03:36:06 MainProcess _training model _replace_config DEBUG Replaced config. New config: {'centering': 'face', 'coverage': 87.5, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'lr_finder_iterations': 1000, 'lr_finder_mode': 'set', 'lr_finder_strength': 'default', 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'lowmem': False}
12/14/2023 03:36:06 MainProcess _training model _replace_config INFO Using configuration saved in state file
12/14/2023 03:36:06 MainProcess _training model _new_session_id DEBUG 23
12/14/2023 03:36:06 MainProcess _training model _create_new_session DEBUG Creating new session. id: 23
12/14/2023 03:36:06 MainProcess _training model __init__ DEBUG Initialized State:
12/14/2023 03:36:06 MainProcess _training settings __init__ DEBUG Initializing Settings: (arguments: Namespace(func=<bound method ScriptExecutor.execute_script of <lib.cli.launcher.ScriptExecutor object at 0x000002B29EE5BA90>>, exclude_gpus=None, configfile=None, loglevel='INFO', logfile=None, redirect_gui=True, colab=False, input_a='D:\\Krstan\\Media Files\\Kino\\Face\\Katheryn Winnick\\Star', input_b='D:\\Krstan\\Media Files\\Kino\\Face\\Katheryn Winnick\\Katheryn', model_dir='D:\\Krstan\\Media Files\\Kino\\Face\\Katheryn Winnick\\ModelKS', load_weights=None, trainer='original', summary=False, freeze_weights=False, batch_size=64, iterations=1000000, distribution_strategy='default', no_logs=False, use_lr_finder=False, save_interval=250, snapshot_interval=25000, timelapse_input_a='D:\\Krstan\\Media Files\\Kino\\Face\\Katheryn Winnick\\Star', timelapse_input_b='D:\\Krstan\\Media Files\\Kino\\Face\\Katheryn Winnick\\Katheryn', timelapse_output='D:\\Krstan\\Media Files\\Kino\\Face\\Katheryn Winnick\\Timelapse', preview=True, write_image=False, warp_to_landmarks=False, no_flip=False, no_augment_color=False, no_warp=False), mixed_precision: False, allow_growth: False, is_predict: False)
12/14/2023 03:36:06 MainProcess _training settings _set_tf_settings DEBUG Not setting any specific Tensorflow settings
12/14/2023 03:36:06 MainProcess _training settings _set_keras_mixed_precision DEBUG use_mixed_precision: False
12/14/2023 03:36:06 MainProcess _training settings _set_keras_mixed_precision DEBUG Disabling mixed precision. (Compute dtype: float32, variable_dtype: float32)
12/14/2023 03:36:06 MainProcess _training settings _get_strategy DEBUG Using strategy: <tensorflow.python.distribute.distribute_lib._DefaultDistributionStrategy object at 0x000002B2AAD39DB0>
12/14/2023 03:36:06 MainProcess _training settings __init__ DEBUG Initialized Settings
12/14/2023 03:36:06 MainProcess _training settings __init__ DEBUG Initializing Loss: (color_order: bgr)
12/14/2023 03:36:06 MainProcess _training settings _get_mask_channels DEBUG uses_masks: (True, True, True), mask_channels: [3, 4, 5]
12/14/2023 03:36:06 MainProcess _training settings __init__ DEBUG Initialized: Loss
12/14/2023 03:36:06 MainProcess _training model __init__ DEBUG Initialized ModelBase (Model)
12/14/2023 03:36:06 MainProcess _training settings strategy_scope DEBUG Using strategy scope: <tensorflow.python.distribute.distribute_lib._DefaultDistributionContext object at 0x000002B2AAA131C0>
12/14/2023 03:36:06 MainProcess _training io load DEBUG Loading model: D:\Krstan\Media Files\Kino\Face\Katheryn Winnick\ModelKS\original.h5
12/14/2023 03:36:06 MainProcess _training attrs __getitem__ DEBUG Creating converter from 3 to 5
12/14/2023 03:36:06 MainProcess preview preview_cv _launch DEBUG Waiting for preview image
12/14/2023 03:36:07 MainProcess _training multithreading run DEBUG Error in thread (_training): "Unable to synchronously open object (object 'face_in_a' doesn't exist)"
12/14/2023 03:36:07 MainProcess MainThread multithreading join ERROR Caught exception in thread: '_training'
Traceback (most recent call last):
File "C:\Users\Krstan\faceswap\lib\cli\launcher.py", line 225, in execute_script
process.process()
File "C:\Users\Krstan\faceswap\scripts\train.py", line 209, in process
self._end_thread(thread, err)
File "C:\Users\Krstan\faceswap\scripts\train.py", line 249, in _end_thread
thread.join()
File "C:\Users\Krstan\faceswap\lib\multithreading.py", line 224, in join
raise thread.err[1].with_traceback(thread.err[2])
File "C:\Users\Krstan\faceswap\lib\multithreading.py", line 100, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\Krstan\faceswap\scripts\train.py", line 274, in _training
raise err
File "C:\Users\Krstan\faceswap\scripts\train.py", line 259, in _training
model = self._load_model()
File "C:\Users\Krstan\faceswap\scripts\train.py", line 290, in _load_model
model.build()
File "C:\Users\Krstan\faceswap\plugins\train\model\_base\model.py", line 255, in build
model = self.io.load()
File "C:\Users\Krstan\faceswap\plugins\train\model\_base\io.py", line 165, in load
raise err
File "C:\Users\Krstan\faceswap\plugins\train\model\_base\io.py", line 147, in load
model = kmodels.load_model(self.filename, compile=False)
File "C:\Users\Krstan\MiniConda3\envs\faceswap\lib\site-packages\keras\utils\traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "h5py\_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py\_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "C:\Users\Krstan\MiniConda3\envs\faceswap\lib\site-packages\h5py\_hl\group.py", line 357, in __getitem__
oid = h5o.open(self.id, self._e(name), lapl=self._lapl)
File "h5py\_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py\_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py\h5o.pyx", line 189, in h5py.h5o.open
KeyError: "Unable to synchronously open object (object 'face_in_a' doesn't exist)"
============ System Information ============
backend: nvidia
encoding: cp1252
git_branch: master
git_commits: a62a85c bugfix: setup.py - Force pip for imagio-ffmpeg
gpu_cuda: No global version found. Check Conda packages for Conda Cuda
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: NVIDIA GeForce RTX 4060 Laptop GPU
gpu_devices_active: GPU_0
gpu_driver: 546.17
gpu_vram: GPU_0: 8188MB (2299MB free)
os_machine: AMD64
os_platform: Windows-10-10.0.22621-SP0
os_release: 10
py_command: C:\Users\Krstan\faceswap\faceswap.py train -A D:/Krstan/Media Files/Kino/Face/Katheryn Winnick/Star -B D:/Krstan/Media Files/Kino/Face/Katheryn Winnick/Katheryn -m D:/Krstan/Media Files/Kino/Face/Katheryn Winnick/ModelKS -t original -bs 64 -it 1000000 -D default -s 250 -ss 25000 -tia D:/Krstan/Media Files/Kino/Face/Katheryn Winnick/Star -tib D:/Krstan/Media Files/Kino/Face/Katheryn Winnick/Katheryn -to D:/Krstan/Media Files/Kino/Face/Katheryn Winnick/Timelapse -p -L INFO -gui
py_conda_version: conda 23.10.0
py_implementation: CPython
py_version: 3.10.13
py_virtual_env: True
sys_cores: 16
sys_processor: Intel64 Family 6 Model 186 Stepping 2, GenuineIntel
sys_ram: Total: 32471MB, Available: 20438MB, Used: 12032MB, Free: 20438MB
=============== Pip Packages ===============
absl-py==2.0.0
astunparse==1.6.3
cachetools==5.3.2
certifi==2023.11.17
charset-normalizer==3.3.2
colorama @ file:///C:/b/abs_a9ozq0l032/croot/colorama_1672387194846/work
contourpy @ file:///C:/b/abs_853rfy8zse/croot/contourpy_1700583617587/work
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
fastcluster @ file:///D:/bld/fastcluster_1695650232190/work
ffmpy @ file:///home/conda/feedstock_root/build_artifacts/ffmpy_1659474992694/work
flatbuffers==23.5.26
fonttools==4.25.0
gast==0.4.0
google-auth==2.23.4
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.59.3
h5py==3.10.0
idna==3.4
imageio @ file:///C:/b/abs_3eijmwdodc/croot/imageio_1695996500830/work
imageio-ffmpeg==0.4.9
joblib @ file:///C:/b/abs_1anqjntpan/croot/joblib_1685113317150/work
keras==2.10.0
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/b/abs_88mdhvtahm/croot/kiwisolver_1672387921783/work
libclang==16.0.6
Markdown==3.5.1
MarkupSafe==2.1.3
matplotlib @ file:///C:/b/abs_e26vnvd5s1/croot/matplotlib-suite_1698692153288/work
mkl-fft @ file:///C:/b/abs_19i1y8ykas/croot/mkl_fft_1695058226480/work
mkl-random @ file:///C:/b/abs_edwkj1_o69/croot/mkl_random_1695059866750/work
mkl-service==2.4.0
munkres==1.1.4
numexpr @ file:///C:/b/abs_5fucrty5dc/croot/numexpr_1696515448831/work
numpy @ file:///C:/b/abs_9fu2cs2527/croot/numpy_and_numpy_base_1695830496596/work/dist/numpy-1.26.0-cp310-cp310-win_amd64.whl#sha256=11367989d61b64039738e0c68c95c6b797a41c4c75ec2147c0541b21163786eb
nvidia-ml-py @ file:///home/conda/feedstock_root/build_artifacts/nvidia-ml-py_1698947663801/work
oauthlib==3.2.2
opencv-python==4.8.1.78
opt-einsum==3.3.0
packaging @ file:///C:/b/abs_28t5mcoltc/croot/packaging_1693575224052/work
Pillow @ file:///C:/b/abs_153xikw91n/croot/pillow_1695134603563/work
ply==3.11
protobuf==3.19.6
psutil @ file:///C:/Windows/Temp/abs_b2c2fd7f-9fd5-4756-95ea-8aed74d0039flsd9qufz/croots/recipe/psutil_1656431277748/work
pyasn1==0.5.1
pyasn1-modules==0.3.0
pyparsing @ file:///C:/Users/BUILDE~1/AppData/Local/Temp/abs_7f_7lba6rl/croots/recipe/pyparsing_1661452540662/work
PyQt5==5.15.10
PyQt5-sip @ file:///C:/b/abs_c0pi2mimq3/croot/pyqt-split_1698769125270/work/pyqt_sip
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==305.1
pywinpty @ file:///C:/ci_310/pywinpty_1644230983541/work/target/wheels/pywinpty-2.0.2-cp310-none-win_amd64.whl
requests==2.31.0
requests-oauthlib==1.3.1
rsa==4.9
scikit-learn @ file:///C:/b/abs_55olq_4gzc/croot/scikit-learn_1690978955123/work
scipy==1.11.3
sip @ file:///C:/b/abs_edevan3fce/croot/sip_1698675983372/work
six @ file:///tmp/build/80754af9/six_1644875935023/work
tensorboard==2.10.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow==2.10.1
tensorflow-estimator==2.10.0
tensorflow-io-gcs-filesystem==0.31.0
termcolor==2.3.0
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1629802263681/work
tomli @ file:///C:/Windows/TEMP/abs_ac109f85-a7b3-4b4d-bcfd-52622eceddf0hy332ojo/croots/recipe/tomli_1657175513137/work
tornado @ file:///C:/b/abs_0cbrstidzg/croot/tornado_1696937003724/work
tqdm @ file:///C:/b/abs_f76j9hg7pv/croot/tqdm_1679561871187/work
typing_extensions==4.8.0
urllib3==2.1.0
Werkzeug==3.0.1
wrapt==1.16.0
============== Conda Packages ==============
# packages in environment at C:\Users\Krstan\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 2.0.0 pypi_0 pypi
aom 3.7.1 h63175ca_0 conda-forge
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
brotli 1.0.9 h2bbff1b_7
brotli-bin 1.0.9 h2bbff1b_7
bzip2 1.0.8 he774522_0
ca-certificates 2023.11.17 h56e8100_0 conda-forge
cachetools 5.3.2 pypi_0 pypi
certifi 2023.11.17 pypi_0 pypi
charset-normalizer 3.3.2 pypi_0 pypi
colorama 0.4.6 py310haa95532_0
contourpy 1.2.0 py310h59b6b97_0
cudatoolkit 11.8.0 hd77b12b_0
cudnn 8.9.2.26 cuda11_0
cycler 0.11.0 pyhd3eb1b0_0
dav1d 1.2.1 hcfcfb64_0 conda-forge
expat 2.5.0 h63175ca_1 conda-forge
fastcluster 1.2.6 py310hecd3228_3 conda-forge
ffmpeg 6.1.0 gpl_h2616e31_101 conda-forge
ffmpy 0.3.0 pyhb6f538c_0 conda-forge
flatbuffers 23.5.26 pypi_0 pypi
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.2 hbde0cde_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.12.1 ha860e81_0
gast 0.4.0 pypi_0 pypi
giflib 5.2.1 h8cc25b3_3
git 2.40.1 haa95532_1
google-auth 2.23.4 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.59.3 pypi_0 pypi
h5py 3.10.0 pypi_0 pypi
icc_rt 2022.1.0 h6049295_2
icu 73.1 h6c2663c_0
idna 3.4 pypi_0 pypi
imageio 2.31.4 py310haa95532_0
imageio-ffmpeg 0.4.9 pypi_0 pypi
intel-openmp 2023.1.0 h59b6b97_46320
joblib 1.2.0 py310haa95532_0
jpeg 9e h2bbff1b_1
keras 2.10.0 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.4.4 py310hd77b12b_0
krb5 1.20.1 h5b6d351_0
lerc 3.0 hd77b12b_0
libbrotlicommon 1.0.9 h2bbff1b_7
libbrotlidec 1.0.9 h2bbff1b_7
libbrotlienc 1.0.9 h2bbff1b_7
libclang 16.0.6 pypi_0 pypi
libclang13 14.0.6 default_h8e68704_1
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"upscale_128_0_pixelshuffler",
"upscale_64_0_conv2d_conv2d",
"upscale_64_0_conv2d_leakyrelu",
"upscale_64_0_pixelshuffler",
"face_out_a_0_conv2d",
"upscale_256_1_conv2d_conv2d",
"upscale_256_1_conv2d_leakyrelu",
"upscale_256_1_pixelshuffler",
"upscale_128_1_conv2d_conv2d",
"upscale_128_1_conv2d_leakyrelu",
"upscale_128_1_pixelshuffler",
"upscale_64_1_conv2d_conv2d",
"upscale_64_1_conv2d_leakyrelu",
"upscale_64_1_pixelshuffler",
"face_out_b_0_conv2d"
],
"config": {
"centering": "face",
"coverage": 87.5,
"optimizer": "adam",
"learning_rate": 5e-05,
"epsilon_exponent": -7,
"save_optimizer": "exit",
"lr_finder_iterations": 1000,
"lr_finder_mode": "set",
"lr_finder_strength": "default",
"autoclip": false,
"allow_growth": false,
"mixed_precision": false,
"nan_protection": true,
"convert_batchsize": 16,
"loss_function": "ssim",
"loss_function_2": "mse",
"loss_weight_2": 100,
"loss_function_3": null,
"loss_weight_3": 0,
"loss_function_4": null,
"loss_weight_4": 0,
"mask_loss_function": "mse",
"eye_multiplier": 3,
"mouth_multiplier": 2,
"penalized_mask_loss": true,
"mask_type": "extended",
"mask_blur_kernel": 3,
"mask_threshold": 4,
"learn_mask": false,
"lowmem": false
}
}
================= Configs ==================
--------- .faceswap ---------
backend: nvidia
--------- convert.ini ---------
[color.color_transfer]
clip: True
preserve_paper: True
[color.manual_balance]
colorspace: HSV
balance_1: 0.0
balance_2: 0.0
balance_3: 0.0
contrast: 0.0
brightness: 0.0
[color.match_hist]
threshold: 99.0
[mask.mask_blend]
type: normalized
kernel_size: 3
passes: 4
threshold: 4
erosion: 0.0
erosion_top: 0.0
erosion_bottom: 0.0
erosion_left: 0.0
erosion_right: 0.0
[scaling.sharpen]
method: none
amount: 150
radius: 0.3
threshold: 5.0
[writer.ffmpeg]
container: mp4
codec: libx264
crf: 23
preset: medium
tune: none
profile: auto
level: auto
skip_mux: False
[writer.gif]
fps: 25
loop: 0
palettesize: 256
subrectangles: False
[writer.opencv]
format: png
draw_transparent: False
separate_mask: False
jpg_quality: 75
png_compress_level: 3
[writer.patch]
start_index: 0
index_offset: 0
number_padding: 6
include_filename: True
face_index_location: before
origin: bottom-left
empty_frames: blank
json_output: False
separate_mask: False
bit_depth: 16
format: png
png_compress_level: 3
tiff_compression_method: lzw
[writer.pillow]
format: png
draw_transparent: False
separate_mask: False
optimize: False
gif_interlace: True
jpg_quality: 75
png_compress_level: 3
tif_compression: tiff_deflate
--------- extract.ini ---------
[global]
allow_growth: False
aligner_min_scale: 0.07
aligner_max_scale: 2.0
aligner_distance: 22.5
aligner_roll: 45.0
aligner_features: True
filter_refeed: True
save_filtered: False
realign_refeeds: True
filter_realign: True
[align.fan]
batch-size: 12
[detect.cv2_dnn]
confidence: 50
[detect.mtcnn]
minsize: 20
scalefactor: 0.709
batch-size: 8
cpu: True
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
[detect.s3fd]
confidence: 70
batch-size: 4
[mask.bisenet_fp]
batch-size: 8
cpu: False
weights: faceswap
include_ears: False
include_hair: False
include_glasses: True
[mask.custom]
batch-size: 8
centering: face
fill: False
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
[recognition.vgg_face2]
batch-size: 16
cpu: False
--------- gui.ini ---------
[global]
fullscreen: False
tab: extract
options_panel_width: 30
console_panel_height: 20
icon_size: 14
font: default
font_size: 9
autosave_last_session: prompt
timeout: 120
auto_load_model_stats: True
--------- train.ini ---------
[global]
centering: face
coverage: 87.5
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
epsilon_exponent: -7
save_optimizer: exit
lr_finder_iterations: 1000
lr_finder_mode: set
lr_finder_strength: default
autoclip: False
reflect_padding: False
allow_growth: False
mixed_precision: False
nan_protection: True
convert_batchsize: 16
[global.loss]
loss_function: ssim
loss_function_2: mse
loss_weight_2: 100
loss_function_3: none
loss_weight_3: 0
loss_function_4: none
loss_weight_4: 0
mask_loss_function: mse
eye_multiplier: 3
mouth_multiplier: 2
penalized_mask_loss: True
mask_type: extended
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
[model.dfaker]
output_size: 128
[model.dfl_h128]
lowmem: False
[model.dfl_sae]
input_size: 128
architecture: df
autoencoder_dims: 0
encoder_dims: 42
decoder_dims: 21
multiscale_decoder: False
[model.dlight]
features: best
details: good
output_size: 256
[model.original]
lowmem: False
[model.phaze_a]
output_size: 128
shared_fc: none
enable_gblock: True
split_fc: True
split_gblock: False
split_decoders: False
enc_architecture: fs_original
enc_scaling: 7
enc_load_weights: True
bottleneck_type: dense
bottleneck_norm: none
bottleneck_size: 1024
bottleneck_in_encoder: True
fc_depth: 1
fc_min_filters: 1024
fc_max_filters: 1024
fc_dimensions: 4
fc_filter_slope: -0.5
fc_dropout: 0.0
fc_upsampler: upsample2d
fc_upsamples: 1
fc_upsample_filters: 512
fc_gblock_depth: 3
fc_gblock_min_nodes: 512
fc_gblock_max_nodes: 512
fc_gblock_filter_slope: -0.5
fc_gblock_dropout: 0.0
dec_upscale_method: subpixel
dec_upscales_in_fc: 0
dec_norm: none
dec_min_filters: 64
dec_max_filters: 512
dec_slope_mode: full
dec_filter_slope: -0.45
dec_res_blocks: 1
dec_output_kernel: 5
dec_gaussian: True
dec_skip_last_residual: True
freeze_layers: keras_encoder
load_layers: encoder
fs_original_depth: 4
fs_original_min_filters: 128
fs_original_max_filters: 1024
fs_original_use_alt: False
mobilenet_width: 1.0
mobilenet_depth: 1
mobilenet_dropout: 0.001
mobilenet_minimalistic: False
[model.realface]
input_size: 64
output_size: 128
dense_nodes: 1536
complexity_encoder: 128
complexity_decoder: 512
[model.unbalanced]
input_size: 128
lowmem: False
nodes: 1024
complexity_encoder: 128
complexity_decoder_a: 384
complexity_decoder_b: 512
[model.villain]
lowmem: False
[trainer.original]
preview_images: 14
mask_opacity: 30
mask_color: #ff0000
zoom_amount: 5
rotation_range: 10
shift_range: 5
flip_chance: 50
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4