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https://github.com/iperov/DeepFaceLab.git
synced 2025-07-05 20:42:11 -07:00
Upgraded to TF version 1.13.2
Removed the wait at first launch for most graphics cards. Increased speed of training by 10-20%, but you have to retrain all models from scratch. SAEHD: added option 'use float16' Experimental option. Reduces the model size by half. Increases the speed of training. Decreases the accuracy of the model. The model may collapse or not train. Model may not learn the mask in large resolutions. true_face_training option is replaced by "True face power". 0.0000 .. 1.0 Experimental option. Discriminates the result face to be more like the src face. Higher value - stronger discrimination. Comparison - https://i.imgur.com/czScS9q.png
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Colombo
parent
a3dfcb91b9
commit
76ca79216e
49 changed files with 1320 additions and 1297 deletions
48
main.py
48
main.py
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@ -1,16 +1,16 @@
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if __name__ == "__main__":
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# Fix for linux
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import multiprocessing
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import multiprocessing
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multiprocessing.set_start_method("spawn")
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from core.leras import nn
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from core.leras import nn
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nn.initialize_main_env()
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import os
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import sys
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import time
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import argparse
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from core import pathex
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from core import osex
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from pathlib import Path
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@ -22,7 +22,7 @@ if __name__ == "__main__":
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class fixPathAction(argparse.Action):
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def __call__(self, parser, namespace, values, option_string=None):
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setattr(namespace, self.dest, os.path.abspath(os.path.expanduser(values)))
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parser = argparse.ArgumentParser()
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subparsers = parser.add_subparsers()
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@ -32,7 +32,7 @@ if __name__ == "__main__":
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Extractor.main( detector = arguments.detector,
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input_path = Path(arguments.input_dir),
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output_path = Path(arguments.output_dir),
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output_debug = arguments.output_debug,
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output_debug = arguments.output_debug,
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manual_fix = arguments.manual_fix,
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manual_output_debug_fix = arguments.manual_output_debug_fix,
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manual_window_size = arguments.manual_window_size,
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@ -53,7 +53,7 @@ if __name__ == "__main__":
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p.add_argument('--manual-window-size', type=int, dest="manual_window_size", default=1368, help="Manual fix window size. Default: 1368.")
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p.add_argument('--cpu-only', action="store_true", dest="cpu_only", default=False, help="Extract on CPU..")
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p.add_argument('--force-gpu-idxs', dest="force_gpu_idxs", default=None, help="Force to choose GPU indexes separated by comma.")
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p.set_defaults (func=process_extract)
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def process_dev_extract_vggface2_dataset(arguments):
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@ -104,7 +104,7 @@ if __name__ == "__main__":
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p = subparsers.add_parser( "dev_test", help="")
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p.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir")
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p.set_defaults (func=process_dev_test)
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def process_sort(arguments):
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osex.set_process_lowest_prio()
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from mainscripts import Sorter
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@ -133,14 +133,14 @@ if __name__ == "__main__":
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if arguments.remove_ie_polys:
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Util.remove_ie_polys_folder (input_path=arguments.input_dir)
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if arguments.save_faceset_metadata:
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Util.save_faceset_metadata_folder (input_path=arguments.input_dir)
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if arguments.restore_faceset_metadata:
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Util.restore_faceset_metadata_folder (input_path=arguments.input_dir)
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if arguments.pack_faceset:
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if arguments.pack_faceset:
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io.log_info ("Performing faceset packing...\r\n")
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from samplelib import PackedFaceset
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PackedFaceset.pack( Path(arguments.input_dir) )
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@ -149,7 +149,7 @@ if __name__ == "__main__":
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io.log_info ("Performing faceset unpacking...\r\n")
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from samplelib import PackedFaceset
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PackedFaceset.unpack( Path(arguments.input_dir) )
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p = subparsers.add_parser( "util", help="Utilities.")
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p.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory. A directory containing the files you wish to process.")
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p.add_argument('--convert-png-to-jpg', action="store_true", dest="convert_png_to_jpg", default=False, help="Convert DeepFaceLAB PNG files to JPEG.")
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@ -166,7 +166,7 @@ if __name__ == "__main__":
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def process_train(arguments):
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osex.set_process_lowest_prio()
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kwargs = {'model_class_name' : arguments.model_name,
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'saved_models_path' : Path(arguments.model_dir),
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@ -179,7 +179,7 @@ if __name__ == "__main__":
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'force_gpu_idxs' : arguments.force_gpu_idxs,
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'cpu_only' : arguments.cpu_only,
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'execute_programs' : [ [int(x[0]), x[1] ] for x in arguments.execute_program ],
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'debug' : arguments.debug,
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'debug' : arguments.debug,
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}
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from mainscripts import Trainer
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Trainer.main(**kwargs)
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@ -188,12 +188,12 @@ if __name__ == "__main__":
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p.add_argument('--training-data-src-dir', required=True, action=fixPathAction, dest="training_data_src_dir", help="Dir of extracted SRC faceset.")
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p.add_argument('--training-data-dst-dir', required=True, action=fixPathAction, dest="training_data_dst_dir", help="Dir of extracted DST faceset.")
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p.add_argument('--pretraining-data-dir', action=fixPathAction, dest="pretraining_data_dir", default=None, help="Optional dir of extracted faceset that will be used in pretraining mode.")
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p.add_argument('--pretrained-model-dir', action=fixPathAction, dest="pretrained_model_dir", default=None, help="Optional dir of pretrain model files. (Currently only for Quick96).")
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p.add_argument('--pretrained-model-dir', action=fixPathAction, dest="pretrained_model_dir", default=None, help="Optional dir of pretrain model files. (Currently only for Quick96).")
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p.add_argument('--model-dir', required=True, action=fixPathAction, dest="model_dir", help="Saved models dir.")
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p.add_argument('--model', required=True, dest="model_name", choices=pathex.get_all_dir_names_startswith ( Path(__file__).parent / 'models' , 'Model_'), help="Model class name.")
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p.add_argument('--debug', action="store_true", dest="debug", default=False, help="Debug samples.")
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p.add_argument('--no-preview', action="store_true", dest="no_preview", default=False, help="Disable preview window.")
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p.add_argument('--force-model-name', dest="force_model_name", default=None, help="Forcing to choose model name from model/ folder.")
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p.add_argument('--force-model-name', dest="force_model_name", default=None, help="Forcing to choose model name from model/ folder.")
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p.add_argument('--cpu-only', action="store_true", dest="cpu_only", default=False, help="Train on CPU.")
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p.add_argument('--force-gpu-idxs', dest="force_gpu_idxs", default=None, help="Force to choose GPU indexes separated by comma.")
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p.add_argument('--execute-program', dest="execute_program", default=[], action='append', nargs='+')
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@ -221,7 +221,7 @@ if __name__ == "__main__":
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p.add_argument('--aligned-dir', action=fixPathAction, dest="aligned_dir", default=None, help="Aligned directory. This is where the extracted of dst faces stored.")
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p.add_argument('--model-dir', required=True, action=fixPathAction, dest="model_dir", help="Model dir.")
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p.add_argument('--model', required=True, dest="model_name", choices=pathex.get_all_dir_names_startswith ( Path(__file__).parent / 'models' , 'Model_'), help="Model class name.")
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p.add_argument('--force-model-name', dest="force_model_name", default=None, help="Forcing to choose model name from model/ folder.")
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p.add_argument('--force-model-name', dest="force_model_name", default=None, help="Forcing to choose model name from model/ folder.")
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p.add_argument('--cpu-only', action="store_true", dest="cpu_only", default=False, help="Merge on CPU.")
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p.add_argument('--force-gpu-idxs', dest="force_gpu_idxs", default=None, help="Force to choose GPU indexes separated by comma.")
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p.set_defaults(func=process_merge)
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@ -304,18 +304,18 @@ if __name__ == "__main__":
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def process_faceset_enhancer(arguments):
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osex.set_process_lowest_prio()
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from mainscripts import FacesetEnhancer
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FacesetEnhancer.process_folder ( Path(arguments.input_dir),
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FacesetEnhancer.process_folder ( Path(arguments.input_dir),
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cpu_only=arguments.cpu_only,
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force_gpu_idxs=arguments.force_gpu_idxs
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)
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p = facesettool_parser.add_parser ("enhance", help="Enhance details in DFL faceset.")
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p.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory of aligned faces.")
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p.add_argument('--cpu-only', action="store_true", dest="cpu_only", default=False, help="Process on CPU.")
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p.add_argument('--force-gpu-idxs', dest="force_gpu_idxs", default=None, help="Force to choose GPU indexes separated by comma.")
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p.set_defaults(func=process_faceset_enhancer)
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"""
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def process_relight_faceset(arguments):
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osex.set_process_lowest_prio()
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@ -326,7 +326,7 @@ if __name__ == "__main__":
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osex.set_process_lowest_prio()
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from mainscripts import FacesetRelighter
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FacesetRelighter.delete_relighted (arguments.input_dir)
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p = facesettool_parser.add_parser ("relight", help="Synthesize new faces from existing ones by relighting them. With the relighted faces neural network will better reproduce face shadows.")
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p.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory of aligned faces.")
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p.add_argument('--lighten', action="store_true", dest="lighten", default=None, help="Lighten the faces.")
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