314 lines
13 KiB
Python
314 lines
13 KiB
Python
import os
|
|
import sys
|
|
import warnings
|
|
import platform
|
|
import signal
|
|
import shutil
|
|
import argparse
|
|
from typing import List
|
|
|
|
# Set environment variables for CUDA performance and TensorFlow logging
|
|
if any(arg.startswith('--execution-provider') for arg in sys.argv):
|
|
os.environ['OMP_NUM_THREADS'] = '1'
|
|
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
|
|
|
|
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
|
|
)
|
|
|
|
# Filter warnings
|
|
warnings.filterwarnings('ignore', category=FutureWarning, module='insightface')
|
|
warnings.filterwarnings('ignore', category=UserWarning, module='torchvision')
|
|
|
|
# Cross-platform resource management
|
|
if platform.system() == 'Darwin' and 'ROCMExecutionProvider' in modules.globals.execution_providers:
|
|
del torch
|
|
|
|
|
|
def parse_args() -> None:
|
|
signal.signal(signal.SIGINT, lambda signal_number, frame: destroy())
|
|
program = argparse.ArgumentParser()
|
|
program.add_argument('-s', '--source', help='Select a source image', dest='source_path')
|
|
program.add_argument('-t', '--target', help='Select a 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
|
|
|
|
# Handle face enhancer tumbler
|
|
modules.globals.fp_ui['face_enhancer'] = 'face_enhancer' in args.frame_processor
|
|
|
|
modules.globals.nsfw = False
|
|
|
|
# Handle deprecated arguments
|
|
handle_deprecated_args(args)
|
|
|
|
|
|
def handle_deprecated_args(args) -> None:
|
|
"""Handle deprecated arguments by translating them to the new format."""
|
|
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 rocm 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 [provider.replace('ExecutionProvider', '').lower() for provider in execution_providers]
|
|
|
|
|
|
def decode_execution_providers(execution_providers: List[str]) -> List[str]:
|
|
available_providers = onnxruntime.get_available_providers()
|
|
encoded_providers = encode_execution_providers(available_providers)
|
|
|
|
selected_providers = [available_providers[encoded_providers.index(req)] for req in execution_providers
|
|
if req in encoded_providers]
|
|
|
|
# Default to CPU if no suitable providers are found
|
|
return selected_providers if selected_providers else ['CPUExecutionProvider']
|
|
|
|
|
|
def suggest_max_memory() -> int:
|
|
return 4 if platform.system().lower() == 'darwin' else 16
|
|
|
|
|
|
def suggest_execution_providers() -> List[str]:
|
|
return encode_execution_providers(onnxruntime.get_available_providers())
|
|
|
|
|
|
def suggest_execution_threads() -> int:
|
|
if 'dml' in modules.globals.execution_providers:
|
|
return 1
|
|
if 'rocm' 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 ** 3
|
|
elif 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
|
|
try:
|
|
soft, hard = resource.getrlimit(resource.RLIMIT_DATA)
|
|
if memory > hard:
|
|
print(f"Warning: Requested memory limit {memory / (1024 ** 3)} GB exceeds system's hard limit. Setting to maximum allowed {hard / (1024 ** 3)} GB.")
|
|
memory = hard
|
|
resource.setrlimit(resource.RLIMIT_DATA, (memory, memory))
|
|
except ValueError as e:
|
|
print(f"Warning: Could not set memory limit: {e}. Continuing with default limits.")
|
|
|
|
def release_resources() -> None:
|
|
if 'cuda' 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
|
|
if 'cuda' in modules.globals.execution_providers and not torch.cuda.is_available():
|
|
update_status('CUDA is not available. Please check your GPU or CUDA installation.')
|
|
return False
|
|
return True
|
|
|
|
|
|
def update_status(message: str, scope: str = 'DLC.CORE') -> None:
|
|
print(f'[{scope}] {message}')
|
|
if not modules.globals.headless and ui.status_label:
|
|
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):
|
|
process_image_to_image()
|
|
return
|
|
|
|
# Process image to video
|
|
process_image_to_video()
|
|
|
|
|
|
def process_image_to_image() -> None:
|
|
if not modules.globals.nsfw:
|
|
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('Processing...', 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 succeeded!')
|
|
else:
|
|
update_status('Processing to image failed!')
|
|
|
|
|
|
def process_image_to_video() -> None:
|
|
if not modules.globals.nsfw:
|
|
from modules.predicter import predict_video
|
|
if predict_video(modules.globals.target_path):
|
|
destroy()
|
|
|
|
update_status('Creating temporary 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('Processing...', frame_processor.NAME)
|
|
frame_processor.process_video(modules.globals.source_path, temp_frame_paths)
|
|
release_resources()
|
|
|
|
handle_video_fps()
|
|
handle_video_audio()
|
|
clean_temp(modules.globals.target_path)
|
|
|
|
if is_video(modules.globals.target_path):
|
|
update_status('Processing to video succeeded!')
|
|
else:
|
|
update_status('Processing to video failed!')
|
|
|
|
|
|
def handle_video_fps() -> None:
|
|
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)
|
|
|
|
|
|
def handle_video_audio() -> None:
|
|
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)
|
|
|
|
|
|
def destroy() -> None:
|
|
if modules.globals.target_path:
|
|
clean_temp(modules.globals.target_path)
|
|
quit()
|
|
|
|
|
|
def run() -> None:
|
|
try:
|
|
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()
|
|
except Exception as e:
|
|
print(f"UI initialization failed: {str(e)}")
|
|
update_status(f"UI initialization failed: {str(e)}")
|
|
destroy() # Ensure any resources are cleaned up on failure
|