Hi,
I guess I asked a bit too much from my PC and with dozens of open tabs in Chrome, plus searching for files in one folder and simultaneously ending a training session, I received a "Timeout while sending exit signal. Process aborted" message.
After that, my training and converting do not work anymore, even after reinstalling Faceswap and rebooting. The error message reads "OSError: Unable to synchronously open file (bad object header version number)".
I have seen some other OSError questions here, but not with this particular error attached, so please let me apologise if this might have been answered previously.
Here's the error log. I would really love your help on this...
Code: Select all
02/05/2024 22:54:12 MainProcess MainThread config _load_defaults_from_module DEBUG Adding defaults: (filename: original_defaults.py, module_path: plugins.train.trainer, plugin_type: trainer
02/05/2024 22:54:12 MainProcess MainThread config _load_defaults_from_module DEBUG Importing defaults module: plugins.train.trainer.original_defaults
02/05/2024 22:54:12 MainProcess MainThread 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!')
02/05/2024 22:54:12 MainProcess MainThread 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)
02/05/2024 22:54:12 MainProcess MainThread 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)
02/05/2024 22:54:12 MainProcess MainThread 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)
02/05/2024 22:54:12 MainProcess MainThread 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)
02/05/2024 22:54:12 MainProcess MainThread 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)
02/05/2024 22:54:12 MainProcess MainThread 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)
02/05/2024 22:54:12 MainProcess MainThread 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)
02/05/2024 22:54:12 MainProcess MainThread 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)
02/05/2024 22:54:12 MainProcess MainThread 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)
02/05/2024 22:54:12 MainProcess MainThread 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)
02/05/2024 22:54:12 MainProcess MainThread 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)
02/05/2024 22:54:12 MainProcess MainThread config _load_defaults_from_module DEBUG Added defaults: trainer.original
02/05/2024 22:54:12 MainProcess MainThread config _handle_config DEBUG Handling config: (section: model.realface, configfile: 'C:\Users\AGC\faceswap2\config\train.ini')
02/05/2024 22:54:12 MainProcess MainThread config _check_exists DEBUG Config file exists: 'C:\Users\AGC\faceswap2\config\train.ini'
02/05/2024 22:54:12 MainProcess MainThread config _load_config VERBOSE Loading config: 'C:\Users\AGC\faceswap2\config\train.ini'
02/05/2024 22:54:12 MainProcess MainThread config _validate_config DEBUG Validating config
02/05/2024 22:54:12 MainProcess MainThread config _check_config_change DEBUG Default config has not changed
02/05/2024 22:54:12 MainProcess MainThread config _check_config_choices DEBUG Checking config choices
02/05/2024 22:54:12 MainProcess MainThread config _parse_list DEBUG Processed raw option 'keras_encoder' to list ['keras_encoder'] for section 'model.phaze_a', option 'freeze_layers'
02/05/2024 22:54:12 MainProcess MainThread config _parse_list DEBUG Processed raw option 'encoder' to list ['encoder'] for section 'model.phaze_a', option 'load_layers'
02/05/2024 22:54:12 MainProcess MainThread config _check_config_choices DEBUG Checked config choices
02/05/2024 22:54:12 MainProcess MainThread config _validate_config DEBUG Validated config
02/05/2024 22:54:12 MainProcess MainThread config _handle_config DEBUG Handled config
02/05/2024 22:54:12 MainProcess MainThread config __init__ DEBUG Initialized: Config
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'learning_rate')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'float'>, value: 5e-05)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'epsilon_exponent')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: -7)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'save_optimizer')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'str'>, value: exit)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'autoclip')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'bool'>, value: False)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'allow_growth')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'bool'>, value: False)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'mixed_precision')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'bool'>, value: False)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'nan_protection')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'bool'>, value: True)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'convert_batchsize')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 16)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_function')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'str'>, value: ssim)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_function_2')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'str'>, value: mse)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_weight_2')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 100)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_function_3')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'str'>, value: None)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_weight_3')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 0)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_function_4')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'str'>, value: None)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global.loss', option: 'loss_weight_4')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 0)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global.loss', option: 'mask_loss_function')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'str'>, value: mse)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global.loss', option: 'eye_multiplier')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 3)
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Getting config item: (section: 'global.loss', option: 'mouth_multiplier')
02/05/2024 22:54:12 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 2)
02/05/2024 22:54:12 MainProcess MainThread 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}
02/05/2024 22:54:12 MainProcess MainThread model __init__ DEBUG Initializing State: (model_dir: 'Z:\____face_b faceswap input\____face_a\model', model_name: 'realface', 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
02/05/2024 22:54:12 MainProcess MainThread serializer get_serializer DEBUG <lib.serializer._JSONSerializer object at 0x0000020DB633DA20>
02/05/2024 22:54:12 MainProcess MainThread model _load DEBUG Loading State
02/05/2024 22:54:12 MainProcess MainThread serializer load DEBUG filename: Z:\____face_b faceswap input\____face_a\model\realface_state.json
02/05/2024 22:54:12 MainProcess MainThread serializer load DEBUG stored data type: <class 'bytes'>
02/05/2024 22:54:12 MainProcess MainThread serializer unmarshal DEBUG data type: <class 'bytes'>
02/05/2024 22:54:12 MainProcess MainThread serializer unmarshal DEBUG returned data type: <class 'dict'>
02/05/2024 22:54:12 MainProcess MainThread serializer load DEBUG data type: <class 'dict'>
02/05/2024 22:54:12 MainProcess MainThread model _load DEBUG Loaded state: {'name': 'realface', 'sessions': {'1': {'timestamp': 1706976555.7205057, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 28, 'iterations': 1, 'config': {'learning_rate': 4.5e-05, 'epsilon_exponent': -5, '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': 1706977063.1762161, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 20, 'iterations': 24082, 'config': {'learning_rate': 4.5e-05, 'epsilon_exponent': -5, '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': 1706995317.665197, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 20, 'iterations': 13687, 'config': {'learning_rate': 4.5e-05, 'epsilon_exponent': -5, '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': 1707042802.6650684, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 20, 'iterations': 13017, 'config': {'learning_rate': 4.5e-05, 'epsilon_exponent': -5, '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': 1707053226.0636382, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 20, 'iterations': 29257, 'config': {'learning_rate': 4.5e-05, 'epsilon_exponent': -5, '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': 1707075596.2707624, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 20, 'iterations': 26567, 'config': {'learning_rate': 4.5e-05, 'epsilon_exponent': -5, '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': 1707128751.8776762, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 20, 'iterations': 46500, 'config': {'learning_rate': 4.5e-05, 'epsilon_exponent': -5, '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': 0.023514268092811107, 'b': 0.011306079793721438}, 'iterations': 153111, 'mixed_precision_layers': ['conv_128_0_conv2d', 'leaky_re_lu', 'residual_128_0_conv2d_0', 'residual_128_0_leakyrelu_1', 'residual_128_0_conv2d_1', 'add', 'residual_128_0_leakyrelu_3', 'residual_128_1_conv2d_0', 'residual_128_1_leakyrelu_1', 'residual_128_1_conv2d_1', 'add_1', 'residual_128_1_leakyrelu_3', 'conv_256_0_conv2d', 'leaky_re_lu_1', 'residual_256_0_conv2d_0', 'residual_256_0_leakyrelu_1', 'residual_256_0_conv2d_1', 'add_2', 'residual_256_0_leakyrelu_3', 'residual_256_1_conv2d_0', 'residual_256_1_leakyrelu_1', 'residual_256_1_conv2d_1', 'add_3', 'residual_256_1_leakyrelu_3', 'conv_512_0_conv2d', 'leaky_re_lu_2', 'residual_512_0_conv2d_0', 'residual_512_0_leakyrelu_1', 'residual_512_0_conv2d_1', 'add_4', 'residual_512_0_leakyrelu_3', 'residual_512_1_conv2d_0', 'residual_512_1_leakyrelu_1', 'residual_512_1_conv2d_1', 'add_5', 'residual_512_1_leakyrelu_3', 'conv_1024_0_conv2d', 'conv_1024_0_leakyrelu', 'flatten', 'dense', 'dense_1', 'reshape', 'upscale_682_0_conv2d_conv2d', 'upscale_682_0_pixelshuffler', 'leaky_re_lu_3', 'residual_682_0_conv2d_0', 'residual_682_0_leakyrelu_1', 'residual_682_0_conv2d_1', 'add_6', 'residual_682_0_leakyrelu_3', 'upscale_341_0_conv2d_conv2d', 'upscale_341_0_conv2d_leakyrelu', 'upscale_341_0_pixelshuffler', 'upscale_170_0_conv2d_conv2d', 'upscale_170_0_conv2d_leakyrelu', 'upscale_170_0_pixelshuffler', 'upscale_85_0_conv2d_conv2d', 'upscale_85_0_conv2d_leakyrelu', 'upscale_85_0_pixelshuffler', 'upscale_42_0_conv2d_conv2d', 'upscale_42_0_conv2d_leakyrelu', 'upscale_42_0_pixelshuffler', 'face_out_a_0_conv2d', 'flatten_1', 'dense_2', 'dense_3', 'reshape_1', 'upscale_1024_0_conv2d_conv2d', 'upscale_1024_0_pixelshuffler', 'leaky_re_lu_4', 'residual_1024_0_conv2d_0', 'residual_1024_0_leakyrelu_1', 'residual_1024_0_conv2d_1', 'add_7', 'residual_1024_0_leakyrelu_3', 'upscale_512_0_conv2d_conv2d', 'upscale_512_0_pixelshuffler', 'leaky_re_lu_5', 'residual_512_2_conv2d_0', 'residual_512_2_leakyrelu_1', 'residual_512_2_conv2d_1', 'add_8', 'residual_512_2_leakyrelu_3', 'residual_512_3_conv2d_0', 'residual_512_3_leakyrelu_1', 'residual_512_3_conv2d_1', 'add_9', 'residual_512_3_leakyrelu_3', 'upscale_256_0_conv2d_conv2d', 'upscale_256_0_pixelshuffler', 'leaky_re_lu_6', 'residual_256_2_conv2d_0', 'residual_256_2_leakyrelu_1', 'residual_256_2_conv2d_1', 'add_10', 'residual_256_2_leakyrelu_3', 'residual_256_3_conv2d_0', 'residual_256_3_leakyrelu_1', 'residual_256_3_conv2d_1', 'add_11', 'residual_256_3_leakyrelu_3', 'upscale_128_0_conv2d_conv2d', 'upscale_128_0_pixelshuffler', 'leaky_re_lu_7', 'residual_128_2_conv2d_0', 'residual_128_2_leakyrelu_1', 'residual_128_2_conv2d_1', 'add_12', 'residual_128_2_leakyrelu_3', 'residual_128_3_conv2d_0', 'residual_128_3_leakyrelu_1', 'residual_128_3_conv2d_1', 'add_13', 'residual_128_3_leakyrelu_3', 'upscale_64_0_conv2d_conv2d', 'upscale_64_0_conv2d_leakyrelu', 'upscale_64_0_pixelshuffler', 'face_out_b_0_conv2d'], 'config': {'centering': 'face', 'coverage': 98.95, 'optimizer': 'adam', 'learning_rate': 4.5e-05, 'epsilon_exponent': -5, '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, 'input_size': 64, 'output_size': 128, 'dense_nodes': 1536, 'complexity_encoder': 128, 'complexity_decoder': 512}}
02/05/2024 22:54:12 MainProcess MainThread model _update_legacy_config DEBUG Checking for legacy state file update
02/05/2024 22:54:12 MainProcess MainThread model _update_legacy_config DEBUG Legacy item 'dssim_loss' not in config. Skipping update
02/05/2024 22:54:12 MainProcess MainThread model _update_legacy_config DEBUG Legacy item 'l2_reg_term' not in config. Skipping update
02/05/2024 22:54:12 MainProcess MainThread model _update_legacy_config DEBUG Legacy item 'clipnorm' not in config. Skipping update
02/05/2024 22:54:12 MainProcess MainThread model _update_legacy_config DEBUG State file updated for legacy config: False
02/05/2024 22:54:12 MainProcess MainThread model _update_changed_config_items INFO Config item: 'learning_rate' has been updated from '4.5e-05' to '5e-05'
02/05/2024 22:54:12 MainProcess MainThread model _update_changed_config_items INFO Config item: 'epsilon_exponent' has been updated from '-5' to '-7'
02/05/2024 22:54:12 MainProcess MainThread 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, 'input_size': 64, 'output_size': 128, 'dense_nodes': 1536, 'complexity_encoder': 128, 'complexity_decoder': 512}
02/05/2024 22:54:12 MainProcess MainThread model _replace_config DEBUG Replaced config. New config: {'centering': 'face', 'coverage': 98.95, '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, 'input_size': 64, 'output_size': 128, 'dense_nodes': 1536, 'complexity_encoder': 128, 'complexity_decoder': 512}
02/05/2024 22:54:12 MainProcess MainThread model _replace_config INFO Using configuration saved in state file
02/05/2024 22:54:12 MainProcess MainThread model _new_session_id DEBUG 8
02/05/2024 22:54:12 MainProcess MainThread model _create_new_session DEBUG Creating new session. id: 8
02/05/2024 22:54:12 MainProcess MainThread model __init__ DEBUG Initialized State:
02/05/2024 22:54:12 MainProcess MainThread settings __init__ DEBUG Initializing Settings: (arguments: Namespace(func=<bound method ScriptExecutor.execute_script of <lib.cli.launcher.ScriptExecutor object at 0x0000020DB1970E50>>, exclude_gpus=None, configfile=None, loglevel='INFO', logfile=None, redirect_gui=True, colab=False, input_dir='Z:\\____face_b faceswap input\\____face_a\\trial', output_dir='Z:\\____face_b faceswap input\\____face_a\\output', alignments_path='Z:\\____face_b faceswap input\\____face_a\\face_a input\\alignments.fsa', reference_video=None, model_dir='Z:\\____face_b faceswap input\\____face_a\\model', color_adjustment='match-hist', mask_type='unet-dfl', writer='opencv', output_scale=100, frame_ranges=None, face_scale=0.0, input_aligned_dir=None, nfilter=None, filter=None, ref_threshold=0.4, jobs=0, trainer=None, on_the_fly=False, keep_unchanged=False, swap_model=False, singleprocess=False), mixed_precision: False, allow_growth: False, is_predict: True)
02/05/2024 22:54:12 MainProcess MainThread settings _set_tf_settings DEBUG Not setting any specific Tensorflow settings
02/05/2024 22:54:12 MainProcess MainThread settings _set_keras_mixed_precision DEBUG use_mixed_precision: False
02/05/2024 22:54:12 MainProcess MainThread settings _set_keras_mixed_precision DEBUG Disabling mixed precision. (Compute dtype: float32, variable_dtype: float32)
02/05/2024 22:54:12 MainProcess MainThread settings _get_strategy DEBUG Using strategy: <tensorflow.python.distribute.distribute_lib._DefaultDistributionStrategy object at 0x0000020DBBBDA2C0>
02/05/2024 22:54:12 MainProcess MainThread settings __init__ DEBUG Initialized Settings
02/05/2024 22:54:12 MainProcess MainThread settings __init__ DEBUG Initializing Loss: (color_order: bgr)
02/05/2024 22:54:12 MainProcess MainThread settings _get_mask_channels DEBUG uses_masks: (True, True, True), mask_channels: [3, 4, 5]
02/05/2024 22:54:12 MainProcess MainThread settings __init__ DEBUG Initialized: Loss
02/05/2024 22:54:12 MainProcess MainThread model __init__ DEBUG Initialized ModelBase (Model)
02/05/2024 22:54:12 MainProcess MainThread realface check_input_output DEBUG Input and output sizes are valid
02/05/2024 22:54:12 MainProcess MainThread realface get_dense_width_upscalers_numbers DEBUG dense_width: 4, upscalers_no: 5
02/05/2024 22:54:12 MainProcess MainThread settings strategy_scope DEBUG Using strategy scope: <tensorflow.python.distribute.distribute_lib._DefaultDistributionContext object at 0x0000020DB644AE40>
02/05/2024 22:54:12 MainProcess MainThread io load DEBUG Loading model: Z:\____face_b faceswap input\____face_a\model\realface.h5
Traceback (most recent call last):
File "C:\Users\AGC\faceswap2\lib\cli\launcher.py", line 224, in execute_script
process = script(arguments)
File "C:\Users\AGC\faceswap2\scripts\convert.py", line 98, in __init__
self._predictor = Predict(self._queue_size, arguments)
File "C:\Users\AGC\faceswap2\scripts\convert.py", line 733, in __init__
self._model = self._load_model()
File "C:\Users\AGC\faceswap2\scripts\convert.py", line 820, in _load_model
model.build()
File "C:\Users\AGC\faceswap2\plugins\train\model\_base\model.py", line 255, in build
model = self.io.load()
File "C:\Users\AGC\faceswap2\plugins\train\model\_base\io.py", line 147, in load
model = kmodels.load_model(self.filename, compile=False)
File "C:\Users\AGC\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 "C:\Users\AGC\MiniConda3\envs\faceswap\lib\site-packages\h5py\_hl\files.py", line 562, in __init__
fid = make_fid(name, mode, userblock_size, fapl, fcpl, swmr=swmr)
File "C:\Users\AGC\MiniConda3\envs\faceswap\lib\site-packages\h5py\_hl\files.py", line 235, in make_fid
fid = h5f.open(name, flags, fapl=fapl)
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\h5f.pyx", line 102, in h5py.h5f.open
OSError: Unable to synchronously open file (bad object header version number)
============ System Information ============
backend: nvidia
encoding: cp1252
git_branch: master
git_commits: dea021c bugfix - setup.py - Install xorg-libxft for Linux users - Force tensorflow-cpu from pip
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 3050
gpu_devices_active: GPU_0
gpu_driver: 536.23
gpu_vram: GPU_0: 8192MB (7449MB free)
os_machine: AMD64
os_platform: Windows-10-10.0.19045-SP0
os_release: 10
py_command: C:\Users\AGC\faceswap2\faceswap.py convert -i Z:/____face_b faceswap input/____face_a/trial -o Z:/____face_b faceswap input/____face_a/output -al Z:/____face_b faceswap input/____face_a/face_a input/alignments.fsa -m Z:/____face_b faceswap input/____face_a/model -c match-hist -M unet-dfl -w opencv -osc 100 -S 0.0 -l 0.4 -j 0 -L INFO -gui
py_conda_version: conda 4.14.0
py_implementation: CPython
py_version: 3.10.13
py_virtual_env: True
sys_cores: 16
sys_processor: AMD64 Family 23 Model 113 Stepping 0, AuthenticAMD
sys_ram: Total: 32696MB, Available: 24973MB, Used: 7722MB, Free: 24973MB
=============== Pip Packages ===============
absl-py==2.1.0
astunparse==1.6.3
cachetools==5.3.2
certifi==2024.2.2
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==2.27.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.60.1
h5py==3.10.0
idna==3.6
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==3.5.2
MarkupSafe==2.1.5
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_16b2j7ad8n/croot/numpy_and_numpy_base_1704311752418/work/dist/numpy-1.26.3-cp310-cp310-win_amd64.whl#sha256=e84057072c37569bd0e11652dc2a75980d4d360f2391adf6a29a2fb1622d20ff
nvidia-ml-py==12.535.133
oauthlib==3.2.2
opencv-python==4.9.0.80
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_daon7wm2p4/croot/scikit-learn_1694788586973/work
scipy==1.11.4
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==2.4.0
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==4.9.0
urllib3==2.2.0
Werkzeug==3.0.1
wrapt==1.16.0
============== Conda Packages ==============
# packages in environment at C:\Users\AGC\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 2.1.0 pypi_0 pypi
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 2023.12.12 haa95532_0
cachetools 5.3.2 pypi_0 pypi
certifi 2024.2.2 pypi_0 pypi
charset-normalizer 3.3.2 pypi_0 pypi
colorama 0.4.6 py310haa95532_0
contourpy 1.2.0 py310h59b6b97_0
cudatoolkit 11.2.2 h7d7167e_13 conda-forge
cudnn 8.1.0.77 h3e0f4f4_0 conda-forge
cycler 0.11.0 pyhd3eb1b0_0
fastcluster 1.2.6 py310hecd3228_3 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.3.0 pyhb6f538c_0 conda-forge
flatbuffers 23.5.26 pypi_0 pypi
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 2.27.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.60.1 pypi_0 pypi
h5py 3.10.0 pypi_0 pypi
icc_rt 2022.1.0 h6049295_2
icu 73.1 h6c2663c_0
idna 3.6 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
libdeflate 1.17 h2bbff1b_1
libffi 3.4.4 hd77b12b_0
libpng 1.6.39 h8cc25b3_0
libpq 12.17 h906ac69_0
libtiff 4.5.1 hd77b12b_0
libwebp 1.3.2 hbc33d0d_0
libwebp-base 1.3.2 h2bbff1b_0
libzlib 1.2.13 hcfcfb64_5 conda-forge
libzlib-wapi 1.2.13 hcfcfb64_5 conda-forge
lz4-c 1.9.4 h2bbff1b_0
markdown 3.5.2 pypi_0 pypi
markupsafe 2.1.5 pypi_0 pypi
matplotlib 3.8.0 py310haa95532_0
matplotlib-base 3.8.0 py310h4ed8f06_0
mkl 2023.1.0 h6b88ed4_46358
mkl-service 2.4.0 py310h2bbff1b_1
mkl_fft 1.3.8 py310h2bbff1b_0
mkl_random 1.2.4 py310h59b6b97_0
munkres 1.1.4 py_0
numexpr 2.8.7 py310h2cd9be0_0
numpy 1.26.3 py310h055cbcc_0
numpy-base 1.26.3 py310h65a83cf_0
nvidia-ml-py 12.535.133 pypi_0 pypi
oauthlib 3.2.2 pypi_0 pypi
opencv-python 4.9.0.80 pypi_0 pypi
openssl 3.0.13 h2bbff1b_0
opt-einsum 3.3.0 pypi_0 pypi
packaging 23.1 py310haa95532_0
pillow 9.4.0 py310hd77b12b_1
pip 23.3.1 py310haa95532_0
ply 3.11 py310haa95532_0
protobuf 3.19.6 pypi_0 pypi
psutil 5.9.0 py310h2bbff1b_0
pyasn1 0.5.1 pypi_0 pypi
pyasn1-modules 0.3.0 pypi_0 pypi
pyparsing 3.0.9 py310haa95532_0
pyqt 5.15.10 py310hd77b12b_0
pyqt5-sip 12.13.0 py310h2bbff1b_0
python 3.10.13 he1021f5_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.10 2_cp310 conda-forge
pywin32 305 py310h2bbff1b_0
pywinpty 2.0.2 py310h5da7b33_0
qt-main 5.15.2 h19c9488_10
requests 2.31.0 pypi_0 pypi
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
scikit-learn 1.3.0 py310h4ed8f06_1
scipy 1.11.4 py310h309d312_0
setuptools 68.2.2 py310haa95532_0
sip 6.7.12 py310hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.41.2 h2bbff1b_0
tbb 2021.8.0 h59b6b97_0
tensorboard 2.10.1 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow 2.10.1 pypi_0 pypi
tensorflow-estimator 2.10.0 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.31.0 pypi_0 pypi
termcolor 2.4.0 pypi_0 pypi
threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.12 h2bbff1b_0
tomli 2.0.1 py310haa95532_0
tornado 6.3.3 py310h2bbff1b_0
tqdm 4.65.0 py310h9909e9c_0
typing-extensions 4.9.0 pypi_0 pypi
tzdata 2023d h04d1e81_0
ucrt 10.0.22621.0 h57928b3_0 conda-forge
urllib3 2.2.0 pypi_0 pypi
vc 14.2 h21ff451_1
vc14_runtime 14.38.33130 h82b7239_18 conda-forge
vs2015_runtime 14.38.33130 hcb4865c_18 conda-forge
werkzeug 3.0.1 pypi_0 pypi
wheel 0.41.2 py310haa95532_0
winpty 0.4.3 4
wrapt 1.16.0 pypi_0 pypi
xz 5.4.5 h8cc25b3_0
zlib 1.2.13 hcfcfb64_5 conda-forge
zlib-wapi 1.2.13 hcfcfb64_5 conda-forge
zstd 1.5.5 hd43e919_0
================= 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
