8bf9170577
* Mark as NEXT * Reduce caching to avoid RAM explosion * Reduce caching to avoid RAM explosion * Update dependencies * add face-detector-pad-factor * update facefusion.ini * fix test * change pad to margin * fix order * add prepare margin * use 50% max margin * Minor fixes part2 * Minor fixes part3 * Minor fixes part4 * Minor fixes part1 * Downgrade onnxruntime as of BiRefNet broken on CPU add test update update facefusion.ini add birefnet * rename models add more models * Fix versions * Add .claude to gitignore * add normalize color add 4 channel add colors * worflows * cleanup * cleanup * cleanup * cleanup * add more models (#961) * Fix naming * changes * Fix style and mock Gradio * Fix style and mock Gradio * Fix style and mock Gradio * apply clamp * remove clamp * Add normalizer test * Introduce sanitizer for the rescue (#963) * Introduce sanitizer for the rescue * Introduce sanitizer for the rescue * Introduce sanitizer for the rescue * prepare ffmpeg for alpha support * Some cleanup * Some cleanup * Fix CI * List as TypeAlias is not allowed (#967) * List as TypeAlias is not allowed * List as TypeAlias is not allowed * List as TypeAlias is not allowed * List as TypeAlias is not allowed * Add mpeg and mxf support (#968) * Add mpeg support * Add mxf support * Adjust fix_xxx_encoder for the new formats * Extend output pattern for batch-run (#969) * Extend output pattern for batch-run * Add {target_extension} to allowed mixed files * Catch invalid output pattern keys * alpha support * cleanup * cleanup * add ProcessorOutputs type * fix preview and streamer, support alpha for background_remover * Refactor/open close processors (#972) * Introduce open/close processors * Add locales for translator * Introduce __autoload__ for translator * More cleanup * Fix import issues * Resolve the scope situation for locals * Fix installer by not using translator * Fixes after merge * Fixes after merge * Fix translator keys in ui * Use LOCALS in installer * Update and partial fix DirectML * Use latest onnxruntime * Fix performance * Fix lint issues * fix mask * fix lint * fix lint * Remove default from translator.get() * remove 'framerate=' * fix test * Rename and reorder models * Align naming * add alpha preview * fix frame-by-frame * Add alpha effect via css * preview support alpha channel * fix preview modes * Use official assets repositories * Add support for u2net_cloth * fix naming * Add more models * Add vendor, license and year direct to the models * Add vendor, license and year direct to the models * Update dependencies, Minor CSS adjustment * Ready for 3.5.0 * Fix naming * Update about messages * Fix return * Use groups to show/hide * Update preview * Conditional merge mask * Conditional merge mask * Fix import order --------- Co-authored-by: harisreedhar <h4harisreedhar.s.s@gmail.com> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
132 lines
6.2 KiB
Python
132 lines
6.2 KiB
Python
from facefusion import state_manager
|
|
from facefusion.filesystem import get_file_name, is_video, resolve_file_paths
|
|
from facefusion.jobs import job_store
|
|
from facefusion.normalizer import normalize_fps, normalize_space
|
|
from facefusion.processors.core import get_processors_modules
|
|
from facefusion.types import ApplyStateItem, Args
|
|
from facefusion.vision import detect_video_fps
|
|
|
|
|
|
def reduce_step_args(args : Args) -> Args:
|
|
step_args =\
|
|
{
|
|
key: args[key] for key in args if key in job_store.get_step_keys()
|
|
}
|
|
return step_args
|
|
|
|
|
|
def reduce_job_args(args : Args) -> Args:
|
|
job_args =\
|
|
{
|
|
key: args[key] for key in args if key in job_store.get_job_keys()
|
|
}
|
|
return job_args
|
|
|
|
|
|
def collect_step_args() -> Args:
|
|
step_args =\
|
|
{
|
|
key: state_manager.get_item(key) for key in job_store.get_step_keys() #type:ignore[arg-type]
|
|
}
|
|
return step_args
|
|
|
|
|
|
def collect_job_args() -> Args:
|
|
job_args =\
|
|
{
|
|
key: state_manager.get_item(key) for key in job_store.get_job_keys() #type:ignore[arg-type]
|
|
}
|
|
return job_args
|
|
|
|
|
|
def apply_args(args : Args, apply_state_item : ApplyStateItem) -> None:
|
|
# general
|
|
apply_state_item('command', args.get('command'))
|
|
# paths
|
|
apply_state_item('temp_path', args.get('temp_path'))
|
|
apply_state_item('jobs_path', args.get('jobs_path'))
|
|
apply_state_item('source_paths', args.get('source_paths'))
|
|
apply_state_item('target_path', args.get('target_path'))
|
|
apply_state_item('output_path', args.get('output_path'))
|
|
# patterns
|
|
apply_state_item('source_pattern', args.get('source_pattern'))
|
|
apply_state_item('target_pattern', args.get('target_pattern'))
|
|
apply_state_item('output_pattern', args.get('output_pattern'))
|
|
# face detector
|
|
apply_state_item('face_detector_model', args.get('face_detector_model'))
|
|
apply_state_item('face_detector_size', args.get('face_detector_size'))
|
|
apply_state_item('face_detector_margin', normalize_space(args.get('face_detector_margin')))
|
|
apply_state_item('face_detector_angles', args.get('face_detector_angles'))
|
|
apply_state_item('face_detector_score', args.get('face_detector_score'))
|
|
# face landmarker
|
|
apply_state_item('face_landmarker_model', args.get('face_landmarker_model'))
|
|
apply_state_item('face_landmarker_score', args.get('face_landmarker_score'))
|
|
# face selector
|
|
apply_state_item('face_selector_mode', args.get('face_selector_mode'))
|
|
apply_state_item('face_selector_order', args.get('face_selector_order'))
|
|
apply_state_item('face_selector_age_start', args.get('face_selector_age_start'))
|
|
apply_state_item('face_selector_age_end', args.get('face_selector_age_end'))
|
|
apply_state_item('face_selector_gender', args.get('face_selector_gender'))
|
|
apply_state_item('face_selector_race', args.get('face_selector_race'))
|
|
apply_state_item('reference_face_position', args.get('reference_face_position'))
|
|
apply_state_item('reference_face_distance', args.get('reference_face_distance'))
|
|
apply_state_item('reference_frame_number', args.get('reference_frame_number'))
|
|
# face masker
|
|
apply_state_item('face_occluder_model', args.get('face_occluder_model'))
|
|
apply_state_item('face_parser_model', args.get('face_parser_model'))
|
|
apply_state_item('face_mask_types', args.get('face_mask_types'))
|
|
apply_state_item('face_mask_areas', args.get('face_mask_areas'))
|
|
apply_state_item('face_mask_regions', args.get('face_mask_regions'))
|
|
apply_state_item('face_mask_blur', args.get('face_mask_blur'))
|
|
apply_state_item('face_mask_padding', normalize_space(args.get('face_mask_padding')))
|
|
# voice extractor
|
|
apply_state_item('voice_extractor_model', args.get('voice_extractor_model'))
|
|
# frame extraction
|
|
apply_state_item('trim_frame_start', args.get('trim_frame_start'))
|
|
apply_state_item('trim_frame_end', args.get('trim_frame_end'))
|
|
apply_state_item('temp_frame_format', args.get('temp_frame_format'))
|
|
apply_state_item('keep_temp', args.get('keep_temp'))
|
|
# output creation
|
|
apply_state_item('output_image_quality', args.get('output_image_quality'))
|
|
apply_state_item('output_image_scale', args.get('output_image_scale'))
|
|
apply_state_item('output_audio_encoder', args.get('output_audio_encoder'))
|
|
apply_state_item('output_audio_quality', args.get('output_audio_quality'))
|
|
apply_state_item('output_audio_volume', args.get('output_audio_volume'))
|
|
apply_state_item('output_video_encoder', args.get('output_video_encoder'))
|
|
apply_state_item('output_video_preset', args.get('output_video_preset'))
|
|
apply_state_item('output_video_quality', args.get('output_video_quality'))
|
|
apply_state_item('output_video_scale', args.get('output_video_scale'))
|
|
if args.get('output_video_fps') or is_video(args.get('target_path')):
|
|
output_video_fps = normalize_fps(args.get('output_video_fps')) or detect_video_fps(args.get('target_path'))
|
|
apply_state_item('output_video_fps', output_video_fps)
|
|
# processors
|
|
available_processors = [ get_file_name(file_path) for file_path in resolve_file_paths('facefusion/processors/modules') ]
|
|
apply_state_item('processors', args.get('processors'))
|
|
for processor_module in get_processors_modules(available_processors):
|
|
processor_module.apply_args(args, apply_state_item)
|
|
# uis
|
|
apply_state_item('open_browser', args.get('open_browser'))
|
|
apply_state_item('ui_layouts', args.get('ui_layouts'))
|
|
apply_state_item('ui_workflow', args.get('ui_workflow'))
|
|
# execution
|
|
apply_state_item('execution_device_ids', args.get('execution_device_ids'))
|
|
apply_state_item('execution_providers', args.get('execution_providers'))
|
|
apply_state_item('execution_thread_count', args.get('execution_thread_count'))
|
|
# download
|
|
apply_state_item('download_providers', args.get('download_providers'))
|
|
apply_state_item('download_scope', args.get('download_scope'))
|
|
# benchmark
|
|
apply_state_item('benchmark_mode', args.get('benchmark_mode'))
|
|
apply_state_item('benchmark_resolutions', args.get('benchmark_resolutions'))
|
|
apply_state_item('benchmark_cycle_count', args.get('benchmark_cycle_count'))
|
|
# memory
|
|
apply_state_item('video_memory_strategy', args.get('video_memory_strategy'))
|
|
apply_state_item('system_memory_limit', args.get('system_memory_limit'))
|
|
# misc
|
|
apply_state_item('log_level', args.get('log_level'))
|
|
apply_state_item('halt_on_error', args.get('halt_on_error'))
|
|
# jobs
|
|
apply_state_item('job_id', args.get('job_id'))
|
|
apply_state_item('job_status', args.get('job_status'))
|
|
apply_state_item('step_index', args.get('step_index'))
|