import os import sys # single thread doubles cuda performance - needs to be set before torch import if any(arg.startswith('--execution-provider') for arg in sys.argv): os.environ['OMP_NUM_THREADS'] = '1' # reduce tensorflow log level os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' import warnings from typing import List import platform import signal import shutil import argparse import torch import onnxruntime import tensorflow import modules.globals import modules.metadata import modules.ui as ui from modules.processors.frame.core import get_frame_processors_modules from modules.utilities import has_image_extension, is_image, is_video, detect_fps, create_video, extract_frames, get_temp_frame_paths, restore_audio, create_temp, move_temp, clean_temp, normalize_output_path if 'ROCMExecutionProvider' in modules.globals.execution_providers: del torch warnings.filterwarnings('ignore', category=FutureWarning, module='insightface') warnings.filterwarnings('ignore', category=UserWarning, module='torchvision') def parse_args() -> None: signal.signal(signal.SIGINT, lambda signal_number, frame: destroy()) program = argparse.ArgumentParser() program.add_argument('-s', '--source', help='select an source image', dest='source_path') program.add_argument('-t', '--target', help='select an target image or video', dest='target_path') program.add_argument('-o', '--output', help='select output file or directory', dest='output_path') program.add_argument('--frame-processor', help='pipeline of frame processors', dest='frame_processor', default=['face_swapper'], choices=['face_swapper', 'face_enhancer'], nargs='+') program.add_argument('--keep-fps', help='keep original fps', dest='keep_fps', action='store_true', default=False) program.add_argument('--keep-audio', help='keep original audio', dest='keep_audio', action='store_true', default=True) program.add_argument('--keep-frames', help='keep temporary frames', dest='keep_frames', action='store_true', default=False) program.add_argument('--many-faces', help='process every face', dest='many_faces', action='store_true', default=False) program.add_argument('--video-encoder', help='adjust output video encoder', dest='video_encoder', default='libx264', choices=['libx264', 'libx265', 'libvpx-vp9']) program.add_argument('--video-quality', help='adjust output video quality', dest='video_quality', type=int, default=18, choices=range(52), metavar='[0-51]') program.add_argument('--max-memory', help='maximum amount of RAM in GB', dest='max_memory', type=int, default=suggest_max_memory()) program.add_argument('--execution-provider', help='execution provider', dest='execution_provider', default=['cpu'], choices=suggest_execution_providers(), nargs='+') program.add_argument('--execution-threads', help='number of execution threads', dest='execution_threads', type=int, default=suggest_execution_threads()) program.add_argument('-v', '--version', action='version', version=f'{modules.metadata.name} {modules.metadata.version}') # register deprecated args program.add_argument('-f', '--face', help=argparse.SUPPRESS, dest='source_path_deprecated') program.add_argument('--cpu-cores', help=argparse.SUPPRESS, dest='cpu_cores_deprecated', type=int) program.add_argument('--gpu-vendor', help=argparse.SUPPRESS, dest='gpu_vendor_deprecated') program.add_argument('--gpu-threads', help=argparse.SUPPRESS, dest='gpu_threads_deprecated', type=int) args = program.parse_args() modules.globals.source_path = args.source_path modules.globals.target_path = args.target_path modules.globals.output_path = normalize_output_path(modules.globals.source_path, modules.globals.target_path, args.output_path) modules.globals.frame_processors = args.frame_processor modules.globals.headless = args.source_path or args.target_path or args.output_path modules.globals.keep_fps = args.keep_fps modules.globals.keep_audio = args.keep_audio modules.globals.keep_frames = args.keep_frames modules.globals.many_faces = args.many_faces modules.globals.video_encoder = args.video_encoder modules.globals.video_quality = args.video_quality modules.globals.max_memory = args.max_memory modules.globals.execution_providers = decode_execution_providers(args.execution_provider) modules.globals.execution_threads = args.execution_threads #for ENHANCER tumbler: if 'face_enhancer' in args.frame_processor: modules.globals.fp_ui['face_enhancer'] = True else: modules.globals.fp_ui['face_enhancer'] = False modules.globals.nsfw = False # translate deprecated args if args.source_path_deprecated: print('\033[33mArgument -f and --face are deprecated. Use -s and --source instead.\033[0m') modules.globals.source_path = args.source_path_deprecated modules.globals.output_path = normalize_output_path(args.source_path_deprecated, modules.globals.target_path, args.output_path) if args.cpu_cores_deprecated: print('\033[33mArgument --cpu-cores is deprecated. Use --execution-threads instead.\033[0m') modules.globals.execution_threads = args.cpu_cores_deprecated if args.gpu_vendor_deprecated == 'apple': print('\033[33mArgument --gpu-vendor apple is deprecated. Use --execution-provider coreml instead.\033[0m') modules.globals.execution_providers = decode_execution_providers(['coreml']) if args.gpu_vendor_deprecated == 'nvidia': print('\033[33mArgument --gpu-vendor nvidia is deprecated. Use --execution-provider cuda instead.\033[0m') modules.globals.execution_providers = decode_execution_providers(['cuda']) if args.gpu_vendor_deprecated == 'amd': print('\033[33mArgument --gpu-vendor amd is deprecated. Use --execution-provider cuda instead.\033[0m') modules.globals.execution_providers = decode_execution_providers(['rocm']) if args.gpu_threads_deprecated: print('\033[33mArgument --gpu-threads is deprecated. Use --execution-threads instead.\033[0m') modules.globals.execution_threads = args.gpu_threads_deprecated def encode_execution_providers(execution_providers: List[str]) -> List[str]: return [execution_provider.replace('ExecutionProvider', '').lower() for execution_provider in execution_providers] def decode_execution_providers(execution_providers: List[str]) -> List[str]: return [provider for provider, encoded_execution_provider in zip(onnxruntime.get_available_providers(), encode_execution_providers(onnxruntime.get_available_providers())) if any(execution_provider in encoded_execution_provider for execution_provider in execution_providers)] def suggest_max_memory() -> int: if platform.system().lower() == 'darwin': return 4 return 16 def suggest_execution_providers() -> List[str]: return encode_execution_providers(onnxruntime.get_available_providers()) def suggest_execution_threads() -> int: if 'DmlExecutionProvider' in modules.globals.execution_providers: return 1 if 'ROCMExecutionProvider' in modules.globals.execution_providers: return 1 return 8 def limit_resources() -> None: # prevent tensorflow memory leak gpus = tensorflow.config.experimental.list_physical_devices('GPU') for gpu in gpus: tensorflow.config.experimental.set_memory_growth(gpu, True) # limit memory usage if modules.globals.max_memory: memory = modules.globals.max_memory * 1024 ** 3 if platform.system().lower() == 'darwin': memory = modules.globals.max_memory * 1024 ** 6 if platform.system().lower() == 'windows': import ctypes kernel32 = ctypes.windll.kernel32 kernel32.SetProcessWorkingSetSize(-1, ctypes.c_size_t(memory), ctypes.c_size_t(memory)) else: import resource resource.setrlimit(resource.RLIMIT_DATA, (memory, memory)) def release_resources() -> None: if 'CUDAExecutionProvider' in modules.globals.execution_providers: torch.cuda.empty_cache() def pre_check() -> bool: if sys.version_info < (3, 9): update_status('Python version is not supported - please upgrade to 3.9 or higher.') return False if not shutil.which('ffmpeg'): update_status('ffmpeg is not installed.') return False return True def update_status(message: str, scope: str = 'DLC.CORE') -> None: print(f'[{scope}] {message}') if not modules.globals.headless: ui.update_status(message) def start() -> None: for frame_processor in get_frame_processors_modules(modules.globals.frame_processors): if not frame_processor.pre_start(): return # process image to image if has_image_extension(modules.globals.target_path): if modules.globals.nsfw == False: from modules.predicter import predict_image if predict_image(modules.globals.target_path): destroy() shutil.copy2(modules.globals.target_path, modules.globals.output_path) for frame_processor in get_frame_processors_modules(modules.globals.frame_processors): update_status('Progressing...', frame_processor.NAME) frame_processor.process_image(modules.globals.source_path, modules.globals.output_path, modules.globals.output_path) release_resources() if is_image(modules.globals.target_path): update_status('Processing to image succeed!') else: update_status('Processing to image failed!') return # process image to videos if modules.globals.nsfw == False: from modules.predicter import predict_video if predict_video(modules.globals.target_path): destroy() update_status('Creating temp resources...') create_temp(modules.globals.target_path) update_status('Extracting frames...') extract_frames(modules.globals.target_path) temp_frame_paths = get_temp_frame_paths(modules.globals.target_path) for frame_processor in get_frame_processors_modules(modules.globals.frame_processors): update_status('Progressing...', frame_processor.NAME) frame_processor.process_video(modules.globals.source_path, temp_frame_paths) release_resources() # handles fps if modules.globals.keep_fps: update_status('Detecting fps...') fps = detect_fps(modules.globals.target_path) update_status(f'Creating video with {fps} fps...') create_video(modules.globals.target_path, fps) else: update_status('Creating video with 30.0 fps...') create_video(modules.globals.target_path) # handle audio if modules.globals.keep_audio: if modules.globals.keep_fps: update_status('Restoring audio...') else: update_status('Restoring audio might cause issues as fps are not kept...') restore_audio(modules.globals.target_path, modules.globals.output_path) else: move_temp(modules.globals.target_path, modules.globals.output_path) # clean and validate clean_temp(modules.globals.target_path) if is_video(modules.globals.target_path): update_status('Processing to video succeed!') else: update_status('Processing to video failed!') def destroy() -> None: if modules.globals.target_path: clean_temp(modules.globals.target_path) quit() def run() -> None: parse_args() if not pre_check(): return for frame_processor in get_frame_processors_modules(modules.globals.frame_processors): if not frame_processor.pre_check(): return limit_resources() if modules.globals.headless: start() else: window = ui.init(start, destroy) window.mainloop()