#!/usr/bin/env python3 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 roop.globals import roop.metadata import roop.ui as ui from roop.predicter import predict_image, predict_video from roop.processors.frame.core import get_frame_processors_modules from roop.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 roop.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(formatter_class=lambda prog: argparse.HelpFormatter(prog, max_help_position=100)) 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='frame processors (choices: face_swapper, face_enhancer, ...)', dest='frame_processor', default=['face_swapper'], 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='available execution provider (choices: cpu, ...)', 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'{roop.metadata.name} {roop.metadata.version}') args = program.parse_args() roop.globals.source_path = args.source_path roop.globals.target_path = args.target_path roop.globals.output_path = normalize_output_path(roop.globals.source_path, roop.globals.target_path, args.output_path) roop.globals.frame_processors = args.frame_processor roop.globals.headless = args.source_path or args.target_path or args.output_path roop.globals.keep_fps = args.keep_fps roop.globals.keep_audio = args.keep_audio roop.globals.keep_frames = args.keep_frames roop.globals.many_faces = args.many_faces roop.globals.video_encoder = args.video_encoder roop.globals.video_quality = args.video_quality roop.globals.max_memory = args.max_memory roop.globals.execution_providers = decode_execution_providers(args.execution_provider) roop.globals.execution_threads = args.execution_threads 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 roop.globals.execution_providers: return 1 if 'ROCMExecutionProvider' in roop.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_virtual_device_configuration(gpu, [ tensorflow.config.experimental.VirtualDeviceConfiguration(memory_limit=1024) ]) # limit memory usage if roop.globals.max_memory: memory = roop.globals.max_memory * 1024 ** 3 if platform.system().lower() == 'darwin': memory = roop.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 roop.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 = 'ROOP.CORE') -> None: print(f'[{scope}] {message}') if not roop.globals.headless: ui.update_status(message) def start() -> None: for frame_processor in get_frame_processors_modules(roop.globals.frame_processors): if not frame_processor.pre_start(): return # process image to image if has_image_extension(roop.globals.target_path): if predict_image(roop.globals.target_path): destroy() shutil.copy2(roop.globals.target_path, roop.globals.output_path) for frame_processor in get_frame_processors_modules(roop.globals.frame_processors): for frame_processor_name in roop.globals.frame_processors: if frame_processor_name == frame_processor.frame_name: update_status('Progressing...', frame_processor.NAME) frame_processor.process_image(roop.globals.source_path, roop.globals.output_path, roop.globals.output_path) frame_processor.post_process() release_resources() if is_image(roop.globals.target_path): update_status('Processing to image succeed!') else: update_status('Processing to image failed!') return # process image to videos if predict_video(roop.globals.target_path): destroy() update_status('Creating temp resources...') create_temp(roop.globals.target_path) update_status('Extracting frames...') extract_frames(roop.globals.target_path) temp_frame_paths = get_temp_frame_paths(roop.globals.target_path) for frame_processor in get_frame_processors_modules(roop.globals.frame_processors): update_status('Progressing...', frame_processor.NAME) frame_processor.process_video(roop.globals.source_path, temp_frame_paths) frame_processor.post_process() release_resources() # handles fps if roop.globals.keep_fps: update_status('Detecting fps...') fps = detect_fps(roop.globals.target_path) update_status(f'Creating video with {fps} fps...') create_video(roop.globals.target_path, fps) else: update_status('Creating video with 30.0 fps...') create_video(roop.globals.target_path) # handle audio if roop.globals.keep_audio: if roop.globals.keep_fps: update_status('Restoring audio...') else: update_status('Restoring audio might cause issues as fps are not kept...') restore_audio(roop.globals.target_path, roop.globals.output_path) else: move_temp(roop.globals.target_path, roop.globals.output_path) # clean and validate clean_temp(roop.globals.target_path) if is_video(roop.globals.target_path): update_status('Processing to video succeed!') else: update_status('Processing to video failed!') def destroy() -> None: if roop.globals.target_path: clean_temp(roop.globals.target_path) quit() def run() -> None: parse_args() if not pre_check(): return for frame_processor in get_frame_processors_modules(roop.globals.frame_processors): if not frame_processor.pre_check(): return limit_resources() if roop.globals.headless: start() else: window = ui.init(start, destroy) window.mainloop()