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| 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 | |
| import modules.ui2 as ui2 | |
| 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('--nsfw-filter', help='filter the NSFW image or video', dest='nsfw_filter', action='store_true', default=False) | |
| program.add_argument('--map-faces', help='map source target faces', dest='map_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('--live-mirror', help='The live camera display as you see it in the front-facing camera frame', dest='live_mirror', action='store_true', default=False) | |
| program.add_argument('--live-resizable', help='The live camera frame is resizable', dest='live_resizable', action='store_true', default=False) | |
| 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.nsfw_filter = args.nsfw_filter | |
| modules.globals.map_faces = args.map_faces | |
| modules.globals.video_encoder = args.video_encoder | |
| modules.globals.video_quality = args.video_quality | |
| modules.globals.live_mirror = args.live_mirror | |
| modules.globals.live_resizable = args.live_resizable | |
| 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 | |
| # 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 | |
| update_status('Processing...') | |
| # process image to image | |
| if has_image_extension(modules.globals.target_path): | |
| if modules.globals.nsfw_filter and ui.check_and_ignore_nsfw(modules.globals.target_path, destroy): | |
| return | |
| try: | |
| shutil.copy2(modules.globals.target_path, modules.globals.output_path) | |
| except Exception as e: | |
| print("Error copying file:", str(e)) | |
| 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_filter and ui.check_and_ignore_nsfw(modules.globals.target_path, destroy): | |
| return | |
| if not modules.globals.map_faces: | |
| 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(to_quit=True) -> None: | |
| if modules.globals.target_path: | |
| clean_temp(modules.globals.target_path) | |
| if to_quit: 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: | |
| demo = ui2.create_ui(start, destroy) | |
| demo.launch() | |