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processors/modules/deep_swapper/choices.py

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+from typing import List, Sequence
+
+from facefusion.common_helper import create_int_range
+from facefusion.filesystem import get_file_name, resolve_file_paths, resolve_relative_path
+from facefusion.processors.modules.deep_swapper.types import DeepSwapperModel
+
+deep_swapper_models : List[DeepSwapperModel] =\
+[
+	'druuzil/adam_levine_320',
+	'druuzil/adrianne_palicki_384',
+	'druuzil/agnetha_falskog_224',
+	'druuzil/alan_ritchson_320',
+	'druuzil/alicia_vikander_320',
+	'druuzil/amber_midthunder_320',
+	'druuzil/andras_arato_384',
+	'druuzil/andrew_tate_320',
+	'druuzil/angelina_jolie_384',
+	'druuzil/anne_hathaway_320',
+	'druuzil/anya_chalotra_320',
+	'druuzil/arnold_schwarzenegger_320',
+	'druuzil/benjamin_affleck_320',
+	'druuzil/benjamin_stiller_384',
+	'druuzil/bradley_pitt_224',
+	'druuzil/brie_larson_384',
+	'druuzil/bruce_campbell_384',
+	'druuzil/bryan_cranston_320',
+	'druuzil/catherine_blanchett_352',
+	'druuzil/christian_bale_320',
+	'druuzil/christopher_hemsworth_320',
+	'druuzil/christoph_waltz_384',
+	'druuzil/cillian_murphy_320',
+	'druuzil/cobie_smulders_256',
+	'druuzil/dwayne_johnson_384',
+	'druuzil/edward_norton_320',
+	'druuzil/elisabeth_shue_320',
+	'druuzil/elizabeth_olsen_384',
+	'druuzil/elon_musk_320',
+	'druuzil/emily_blunt_320',
+	'druuzil/emma_stone_384',
+	'druuzil/emma_watson_320',
+	'druuzil/erin_moriarty_384',
+	'druuzil/eva_green_320',
+	'druuzil/ewan_mcgregor_320',
+	'druuzil/florence_pugh_320',
+	'druuzil/freya_allan_320',
+	'druuzil/gary_cole_224',
+	'druuzil/gigi_hadid_224',
+	'druuzil/harrison_ford_384',
+	'druuzil/hayden_christensen_320',
+	'druuzil/heath_ledger_320',
+	'druuzil/henry_cavill_448',
+	'druuzil/hugh_jackman_384',
+	'druuzil/idris_elba_320',
+	'druuzil/jack_nicholson_320',
+	'druuzil/james_carrey_384',
+	'druuzil/james_mcavoy_320',
+	'druuzil/james_varney_320',
+	'druuzil/jason_momoa_320',
+	'druuzil/jason_statham_320',
+	'druuzil/jennifer_connelly_384',
+	'druuzil/jimmy_donaldson_320',
+	'druuzil/jordan_peterson_384',
+	'druuzil/karl_urban_224',
+	'druuzil/kate_beckinsale_384',
+	'druuzil/laurence_fishburne_384',
+	'druuzil/lili_reinhart_320',
+	'druuzil/luke_evans_384',
+	'druuzil/mads_mikkelsen_384',
+	'druuzil/mary_winstead_320',
+	'druuzil/margaret_qualley_384',
+	'druuzil/melina_juergens_320',
+	'druuzil/michael_fassbender_320',
+	'druuzil/michael_fox_320',
+	'druuzil/millie_bobby_brown_320',
+	'druuzil/morgan_freeman_320',
+	'druuzil/patrick_stewart_224',
+	'druuzil/rachel_weisz_384',
+	'druuzil/rebecca_ferguson_320',
+	'druuzil/scarlett_johansson_320',
+	'druuzil/shannen_doherty_384',
+	'druuzil/seth_macfarlane_384',
+	'druuzil/thomas_cruise_320',
+	'druuzil/thomas_hanks_384',
+	'druuzil/william_murray_384',
+	'druuzil/zoe_saldana_384',
+	'edel/emma_roberts_224',
+	'edel/ivanka_trump_224',
+	'edel/lize_dzjabrailova_224',
+	'edel/sidney_sweeney_224',
+	'edel/winona_ryder_224',
+	'iperov/alexandra_daddario_224',
+	'iperov/alexei_navalny_224',
+	'iperov/amber_heard_224',
+	'iperov/dilraba_dilmurat_224',
+	'iperov/elon_musk_224',
+	'iperov/emilia_clarke_224',
+	'iperov/emma_watson_224',
+	'iperov/erin_moriarty_224',
+	'iperov/jackie_chan_224',
+	'iperov/james_carrey_224',
+	'iperov/jason_statham_320',
+	'iperov/keanu_reeves_320',
+	'iperov/margot_robbie_224',
+	'iperov/natalie_dormer_224',
+	'iperov/nicolas_coppola_224',
+	'iperov/robert_downey_224',
+	'iperov/rowan_atkinson_224',
+	'iperov/ryan_reynolds_224',
+	'iperov/scarlett_johansson_224',
+	'iperov/sylvester_stallone_224',
+	'iperov/thomas_cruise_224',
+	'iperov/thomas_holland_224',
+	'iperov/vin_diesel_224',
+	'iperov/vladimir_putin_224',
+	'jen/angelica_trae_288',
+	'jen/ella_freya_224',
+	'jen/emma_myers_320',
+	'jen/evie_pickerill_224',
+	'jen/kang_hyewon_320',
+	'jen/maddie_mead_224',
+	'jen/nicole_turnbull_288',
+	'mats/alica_schmidt_320',
+	'mats/ashley_alexiss_224',
+	'mats/billie_eilish_224',
+	'mats/brie_larson_224',
+	'mats/cara_delevingne_224',
+	'mats/carolin_kebekus_224',
+	'mats/chelsea_clinton_224',
+	'mats/claire_boucher_224',
+	'mats/corinna_kopf_224',
+	'mats/florence_pugh_224',
+	'mats/hillary_clinton_224',
+	'mats/jenna_fischer_224',
+	'mats/kim_jisoo_320',
+	'mats/mica_suarez_320',
+	'mats/shailene_woodley_224',
+	'mats/shraddha_kapoor_320',
+	'mats/yu_jimin_352',
+	'rumateus/alison_brie_224',
+	'rumateus/amber_heard_224',
+	'rumateus/angelina_jolie_224',
+	'rumateus/aubrey_plaza_224',
+	'rumateus/bridget_regan_224',
+	'rumateus/cobie_smulders_224',
+	'rumateus/deborah_woll_224',
+	'rumateus/dua_lipa_224',
+	'rumateus/emma_stone_224',
+	'rumateus/hailee_steinfeld_224',
+	'rumateus/hilary_duff_224',
+	'rumateus/jessica_alba_224',
+	'rumateus/jessica_biel_224',
+	'rumateus/john_cena_224',
+	'rumateus/kim_kardashian_224',
+	'rumateus/kristen_bell_224',
+	'rumateus/lucy_liu_224',
+	'rumateus/margot_robbie_224',
+	'rumateus/megan_fox_224',
+	'rumateus/meghan_markle_224',
+	'rumateus/millie_bobby_brown_224',
+	'rumateus/natalie_portman_224',
+	'rumateus/nicki_minaj_224',
+	'rumateus/olivia_wilde_224',
+	'rumateus/shay_mitchell_224',
+	'rumateus/sophie_turner_224',
+	'rumateus/taylor_swift_224'
+]
+
+custom_model_file_paths = resolve_file_paths(resolve_relative_path('../.assets/models/custom'))
+
+if custom_model_file_paths:
+
+	for model_file_path in custom_model_file_paths:
+		model_id = '/'.join([ 'custom', get_file_name(model_file_path) ])
+		deep_swapper_models.append(model_id)
+
+deep_swapper_morph_range : Sequence[int] = create_int_range(0, 100, 1)

processors/modules/deep_swapper/core.py

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+from argparse import ArgumentParser
+from functools import lru_cache
+from types import ModuleType
+from typing import List, Tuple
+
+import cv2
+import numpy
+from cv2.typing import Size
+
+import facefusion.jobs.job_manager
+import facefusion.jobs.job_store
+from facefusion import config, content_analyser, face_classifier, face_detector, face_landmarker, face_masker, face_recognizer, inference_manager, logger, state_manager, translator, video_manager
+from facefusion.common_helper import create_int_metavar, get_middle
+from facefusion.download import conditional_download_hashes, conditional_download_sources, resolve_download_url_by_provider
+from facefusion.face_creator import scale_face
+from facefusion.face_helper import paste_back, warp_face_by_face_landmark_5
+from facefusion.face_masker import create_area_mask, create_box_mask, create_occlusion_mask, create_region_mask
+from facefusion.face_selector import select_faces
+from facefusion.filesystem import get_file_name, in_directory, is_image, is_video, resolve_file_paths, resolve_relative_path, same_file_extension
+from facefusion.processors.modules.deep_swapper import choices as deep_swapper_choices
+from facefusion.processors.modules.deep_swapper.types import DeepSwapperInputs, DeepSwapperMorph
+from facefusion.processors.types import ProcessorOutputs
+from facefusion.program_helper import find_argument_group
+from facefusion.thread_helper import thread_semaphore
+from facefusion.types import ApplyStateItem, Args, DownloadScope, Face, InferencePool, Mask, ModelOptions, ModelSet, ProcessMode, VisionFrame
+from facefusion.vision import conditional_match_frame_color, read_static_image, read_static_video_frame
+
+
+@lru_cache()
+def create_static_model_set(download_scope : DownloadScope) -> ModelSet:
+	model_config = []
+
+	if download_scope == 'full':
+		model_config.extend(
+		[
+			('druuzil', 'adam_levine_320'),
+			('druuzil', 'adrianne_palicki_384'),
+			('druuzil', 'agnetha_falskog_224'),
+			('druuzil', 'alan_ritchson_320'),
+			('druuzil', 'alicia_vikander_320'),
+			('druuzil', 'amber_midthunder_320'),
+			('druuzil', 'andras_arato_384'),
+			('druuzil', 'andrew_tate_320'),
+			('druuzil', 'angelina_jolie_384'),
+			('druuzil', 'anne_hathaway_320'),
+			('druuzil', 'anya_chalotra_320'),
+			('druuzil', 'arnold_schwarzenegger_320'),
+			('druuzil', 'benjamin_affleck_320'),
+			('druuzil', 'benjamin_stiller_384'),
+			('druuzil', 'bradley_pitt_224'),
+			('druuzil', 'brie_larson_384'),
+			('druuzil', 'bruce_campbell_384'),
+			('druuzil', 'bryan_cranston_320'),
+			('druuzil', 'catherine_blanchett_352'),
+			('druuzil', 'christian_bale_320'),
+			('druuzil', 'christopher_hemsworth_320'),
+			('druuzil', 'christoph_waltz_384'),
+			('druuzil', 'cillian_murphy_320'),
+			('druuzil', 'cobie_smulders_256'),
+			('druuzil', 'dwayne_johnson_384'),
+			('druuzil', 'edward_norton_320'),
+			('druuzil', 'elisabeth_shue_320'),
+			('druuzil', 'elizabeth_olsen_384'),
+			('druuzil', 'elon_musk_320'),
+			('druuzil', 'emily_blunt_320'),
+			('druuzil', 'emma_stone_384'),
+			('druuzil', 'emma_watson_320'),
+			('druuzil', 'erin_moriarty_384'),
+			('druuzil', 'eva_green_320'),
+			('druuzil', 'ewan_mcgregor_320'),
+			('druuzil', 'florence_pugh_320'),
+			('druuzil', 'freya_allan_320'),
+			('druuzil', 'gary_cole_224'),
+			('druuzil', 'gigi_hadid_224'),
+			('druuzil', 'harrison_ford_384'),
+			('druuzil', 'hayden_christensen_320'),
+			('druuzil', 'heath_ledger_320'),
+			('druuzil', 'henry_cavill_448'),
+			('druuzil', 'hugh_jackman_384'),
+			('druuzil', 'idris_elba_320'),
+			('druuzil', 'jack_nicholson_320'),
+			('druuzil', 'james_carrey_384'),
+			('druuzil', 'james_mcavoy_320'),
+			('druuzil', 'james_varney_320'),
+			('druuzil', 'jason_momoa_320'),
+			('druuzil', 'jason_statham_320'),
+			('druuzil', 'jennifer_connelly_384'),
+			('druuzil', 'jimmy_donaldson_320'),
+			('druuzil', 'jordan_peterson_384'),
+			('druuzil', 'karl_urban_224'),
+			('druuzil', 'kate_beckinsale_384'),
+			('druuzil', 'laurence_fishburne_384'),
+			('druuzil', 'lili_reinhart_320'),
+			('druuzil', 'luke_evans_384'),
+			('druuzil', 'mads_mikkelsen_384'),
+			('druuzil', 'mary_winstead_320'),
+			('druuzil', 'margaret_qualley_384'),
+			('druuzil', 'melina_juergens_320'),
+			('druuzil', 'michael_fassbender_320'),
+			('druuzil', 'michael_fox_320'),
+			('druuzil', 'millie_bobby_brown_320'),
+			('druuzil', 'morgan_freeman_320'),
+			('druuzil', 'patrick_stewart_224'),
+			('druuzil', 'rachel_weisz_384'),
+			('druuzil', 'rebecca_ferguson_320'),
+			('druuzil', 'scarlett_johansson_320'),
+			('druuzil', 'shannen_doherty_384'),
+			('druuzil', 'seth_macfarlane_384'),
+			('druuzil', 'thomas_cruise_320'),
+			('druuzil', 'thomas_hanks_384'),
+			('druuzil', 'william_murray_384'),
+			('druuzil', 'zoe_saldana_384'),
+			('edel', 'emma_roberts_224'),
+			('edel', 'ivanka_trump_224'),
+			('edel', 'lize_dzjabrailova_224'),
+			('edel', 'sidney_sweeney_224'),
+			('edel', 'winona_ryder_224')
+		])
+	if download_scope in [ 'lite', 'full' ]:
+		model_config.extend(
+		[
+			('iperov', 'alexandra_daddario_224'),
+			('iperov', 'alexei_navalny_224'),
+			('iperov', 'amber_heard_224'),
+			('iperov', 'dilraba_dilmurat_224'),
+			('iperov', 'elon_musk_224'),
+			('iperov', 'emilia_clarke_224'),
+			('iperov', 'emma_watson_224'),
+			('iperov', 'erin_moriarty_224'),
+			('iperov', 'jackie_chan_224'),
+			('iperov', 'james_carrey_224'),
+			('iperov', 'jason_statham_320'),
+			('iperov', 'keanu_reeves_320'),
+			('iperov', 'margot_robbie_224'),
+			('iperov', 'natalie_dormer_224'),
+			('iperov', 'nicolas_coppola_224'),
+			('iperov', 'robert_downey_224'),
+			('iperov', 'rowan_atkinson_224'),
+			('iperov', 'ryan_reynolds_224'),
+			('iperov', 'scarlett_johansson_224'),
+			('iperov', 'sylvester_stallone_224'),
+			('iperov', 'thomas_cruise_224'),
+			('iperov', 'thomas_holland_224'),
+			('iperov', 'vin_diesel_224'),
+			('iperov', 'vladimir_putin_224')
+		])
+	if download_scope == 'full':
+		model_config.extend(
+		[
+			('jen', 'angelica_trae_288'),
+			('jen', 'ella_freya_224'),
+			('jen', 'emma_myers_320'),
+			('jen', 'evie_pickerill_224'),
+			('jen', 'kang_hyewon_320'),
+			('jen', 'maddie_mead_224'),
+			('jen', 'nicole_turnbull_288'),
+			('mats', 'alica_schmidt_320'),
+			('mats', 'ashley_alexiss_224'),
+			('mats', 'billie_eilish_224'),
+			('mats', 'brie_larson_224'),
+			('mats', 'cara_delevingne_224'),
+			('mats', 'carolin_kebekus_224'),
+			('mats', 'chelsea_clinton_224'),
+			('mats', 'claire_boucher_224'),
+			('mats', 'corinna_kopf_224'),
+			('mats', 'florence_pugh_224'),
+			('mats', 'hillary_clinton_224'),
+			('mats', 'jenna_fischer_224'),
+			('mats', 'kim_jisoo_320'),
+			('mats', 'mica_suarez_320'),
+			('mats', 'shailene_woodley_224'),
+			('mats', 'shraddha_kapoor_320'),
+			('mats', 'yu_jimin_352'),
+			('rumateus', 'alison_brie_224'),
+			('rumateus', 'amber_heard_224'),
+			('rumateus', 'angelina_jolie_224'),
+			('rumateus', 'aubrey_plaza_224'),
+			('rumateus', 'bridget_regan_224'),
+			('rumateus', 'cobie_smulders_224'),
+			('rumateus', 'deborah_woll_224'),
+			('rumateus', 'dua_lipa_224'),
+			('rumateus', 'emma_stone_224'),
+			('rumateus', 'hailee_steinfeld_224'),
+			('rumateus', 'hilary_duff_224'),
+			('rumateus', 'jessica_alba_224'),
+			('rumateus', 'jessica_biel_224'),
+			('rumateus', 'john_cena_224'),
+			('rumateus', 'kim_kardashian_224'),
+			('rumateus', 'kristen_bell_224'),
+			('rumateus', 'lucy_liu_224'),
+			('rumateus', 'margot_robbie_224'),
+			('rumateus', 'megan_fox_224'),
+			('rumateus', 'meghan_markle_224'),
+			('rumateus', 'millie_bobby_brown_224'),
+			('rumateus', 'natalie_portman_224'),
+			('rumateus', 'nicki_minaj_224'),
+			('rumateus', 'olivia_wilde_224'),
+			('rumateus', 'shay_mitchell_224'),
+			('rumateus', 'sophie_turner_224'),
+			('rumateus', 'taylor_swift_224')
+		])
+	model_set : ModelSet = {}
+
+	for model_scope, model_name in model_config:
+		model_id = '/'.join([ model_scope, model_name ])
+
+		model_set[model_id] =\
+		{
+			'hashes':
+			{
+				'deep_swapper':
+				{
+					'url': resolve_download_url_by_provider('huggingface', 'deepfacelive-models-' + model_scope, model_name + '.hash'),
+					'path': resolve_relative_path('../.assets/models/' + model_scope + '/' + model_name + '.hash')
+				}
+			},
+			'sources':
+			{
+				'deep_swapper':
+				{
+					'url': resolve_download_url_by_provider('huggingface', 'deepfacelive-models-' + model_scope, model_name + '.dfm'),
+					'path': resolve_relative_path('../.assets/models/' + model_scope + '/' + model_name + '.dfm')
+				}
+			},
+			'template': 'dfl_whole_face'
+		}
+
+	custom_model_file_paths = resolve_file_paths(resolve_relative_path('../.assets/models/custom'))
+
+	if custom_model_file_paths:
+
+		for model_file_path in custom_model_file_paths:
+			model_id = '/'.join([ 'custom', get_file_name(model_file_path) ])
+
+			model_set[model_id] =\
+			{
+				'sources':
+				{
+					'deep_swapper':
+					{
+						'path': resolve_relative_path(model_file_path)
+					}
+				},
+				'template': 'dfl_whole_face'
+			}
+
+	return model_set
+
+
+def get_inference_pool() -> InferencePool:
+	model_names = [ state_manager.get_item('deep_swapper_model') ]
+	model_source_set = get_model_options().get('sources')
+
+	return inference_manager.get_inference_pool(__name__, model_names, model_source_set)
+
+
+def clear_inference_pool() -> None:
+	model_names = [ state_manager.get_item('deep_swapper_model') ]
+	inference_manager.clear_inference_pool(__name__, model_names)
+
+
+def get_model_options() -> ModelOptions:
+	model_name = state_manager.get_item('deep_swapper_model')
+	return create_static_model_set('full').get(model_name)
+
+
+def get_model_size() -> Size:
+	deep_swapper = get_inference_pool().get('deep_swapper')
+
+	for deep_swapper_input in deep_swapper.get_inputs():
+		if deep_swapper_input.name == 'in_face:0':
+			return deep_swapper_input.shape[1:3]
+
+	return 0, 0
+
+
+def register_args(program : ArgumentParser) -> None:
+	group_processors = find_argument_group(program, 'processors')
+	if group_processors:
+		group_processors.add_argument('--deep-swapper-model', help = translator.get('help.model', __package__), default = config.get_str_value('processors', 'deep_swapper_model', 'iperov/elon_musk_224'), choices = deep_swapper_choices.deep_swapper_models)
+		group_processors.add_argument('--deep-swapper-morph', help = translator.get('help.morph', __package__), type = int, default = config.get_int_value('processors', 'deep_swapper_morph', '100'), choices = deep_swapper_choices.deep_swapper_morph_range, metavar = create_int_metavar(deep_swapper_choices.deep_swapper_morph_range))
+		facefusion.jobs.job_store.register_step_keys([ 'deep_swapper_model', 'deep_swapper_morph' ])
+
+
+def apply_args(args : Args, apply_state_item : ApplyStateItem) -> None:
+	apply_state_item('deep_swapper_model', args.get('deep_swapper_model'))
+	apply_state_item('deep_swapper_morph', args.get('deep_swapper_morph'))
+
+
+def get_common_modules() -> List[ModuleType]:
+	return [ content_analyser, face_classifier, face_detector, face_landmarker, face_masker, face_recognizer ]
+
+
+def pre_check() -> bool:
+	model_hash_set = get_model_options().get('hashes')
+	model_source_set = get_model_options().get('sources')
+
+	for common_module in get_common_modules():
+		if not common_module.pre_check():
+			return False
+
+	if model_hash_set and model_source_set:
+		return conditional_download_hashes(model_hash_set) and conditional_download_sources(model_source_set)
+	return True
+
+
+def pre_process(mode : ProcessMode) -> bool:
+	if mode in [ 'output', 'preview' ] and not is_image(state_manager.get_item('target_path')) and not is_video(state_manager.get_item('target_path')):
+		logger.error(translator.get('choose_image_or_video_target') + translator.get('exclamation_mark'), __name__)
+		return False
+	if mode == 'output' and not in_directory(state_manager.get_item('output_path')):
+		logger.error(translator.get('specify_image_or_video_output') + translator.get('exclamation_mark'), __name__)
+		return False
+	if mode == 'output' and not same_file_extension(state_manager.get_item('target_path'), state_manager.get_item('output_path')):
+		logger.error(translator.get('match_target_and_output_extension') + translator.get('exclamation_mark'), __name__)
+		return False
+	return True
+
+
+def post_process() -> None:
+	read_static_image.cache_clear()
+	read_static_video_frame.cache_clear()
+	video_manager.clear_video_pool()
+
+	if state_manager.get_item('video_memory_strategy') in [ 'strict', 'moderate' ]:
+		clear_inference_pool()
+
+	if state_manager.get_item('video_memory_strategy') == 'strict':
+		for common_module in get_common_modules():
+			common_module.clear_inference_pool()
+
+
+def swap_face(target_face : Face, temp_vision_frame : VisionFrame) -> VisionFrame:
+	model_template = get_model_options().get('template')
+	model_size = get_model_size()
+	crop_vision_frame, affine_matrix = warp_face_by_face_landmark_5(temp_vision_frame, target_face.landmark_set.get('5/68'), model_template, model_size)
+	crop_vision_frame_raw = crop_vision_frame.copy()
+	box_mask = create_box_mask(crop_vision_frame, state_manager.get_item('face_mask_blur'), state_manager.get_item('face_mask_padding'))
+	crop_masks =\
+	[
+		box_mask
+	]
+
+	if 'occlusion' in state_manager.get_item('face_mask_types'):
+		occlusion_mask = create_occlusion_mask(crop_vision_frame)
+		crop_masks.append(occlusion_mask)
+
+	crop_vision_frame = prepare_crop_frame(crop_vision_frame)
+	deep_swapper_morph = numpy.array([ numpy.interp(state_manager.get_item('deep_swapper_morph'), [ 0, 100 ], [ 0, 1 ]) ]).astype(numpy.float32)
+	crop_vision_frame, crop_source_mask, crop_target_mask = forward(crop_vision_frame, deep_swapper_morph)
+	crop_vision_frame = normalize_crop_frame(crop_vision_frame)
+	crop_vision_frame = conditional_match_frame_color(crop_vision_frame_raw, crop_vision_frame)
+	crop_masks.append(prepare_crop_mask(crop_source_mask, crop_target_mask))
+
+	if 'area' in state_manager.get_item('face_mask_types'):
+		face_landmark_68 = cv2.transform(target_face.landmark_set.get('68').reshape(1, -1, 2), affine_matrix).reshape(-1, 2)
+		area_mask = create_area_mask(crop_vision_frame, face_landmark_68, state_manager.get_item('face_mask_areas'))
+		crop_masks.append(area_mask)
+
+	if 'region' in state_manager.get_item('face_mask_types'):
+		region_mask = create_region_mask(crop_vision_frame, state_manager.get_item('face_mask_regions'))
+		crop_masks.append(region_mask)
+
+	crop_mask = numpy.minimum.reduce(crop_masks).clip(0, 1)
+	paste_vision_frame = paste_back(temp_vision_frame, crop_vision_frame, crop_mask, affine_matrix)
+	return paste_vision_frame
+
+
+def forward(crop_vision_frame : VisionFrame, deep_swapper_morph : DeepSwapperMorph) -> Tuple[VisionFrame, Mask, Mask]:
+	deep_swapper = get_inference_pool().get('deep_swapper')
+	deep_swapper_inputs = {}
+
+	for deep_swapper_input in deep_swapper.get_inputs():
+		if deep_swapper_input.name == 'in_face:0':
+			deep_swapper_inputs[deep_swapper_input.name] = crop_vision_frame
+		if deep_swapper_input.name == 'morph_value:0':
+			deep_swapper_inputs[deep_swapper_input.name] = deep_swapper_morph
+
+	with thread_semaphore():
+		crop_target_mask, crop_vision_frame, crop_source_mask = deep_swapper.run(None, deep_swapper_inputs)
+
+	return crop_vision_frame[0], crop_source_mask[0], crop_target_mask[0]
+
+
+def has_morph_input() -> bool:
+	deep_swapper = get_inference_pool().get('deep_swapper')
+
+	for deep_swapper_input in deep_swapper.get_inputs():
+		if deep_swapper_input.name == 'morph_value:0':
+			return True
+
+	return False
+
+
+def prepare_crop_frame(crop_vision_frame : VisionFrame) -> VisionFrame:
+	crop_vision_frame = cv2.addWeighted(crop_vision_frame, 1.75, cv2.GaussianBlur(crop_vision_frame, (0, 0), 2), -0.75, 0)
+	crop_vision_frame = crop_vision_frame / 255.0
+	crop_vision_frame = numpy.expand_dims(crop_vision_frame, axis = 0).astype(numpy.float32)
+	return crop_vision_frame
+
+
+def normalize_crop_frame(crop_vision_frame : VisionFrame) -> VisionFrame:
+	crop_vision_frame = (crop_vision_frame * 255.0).clip(0, 255)
+	crop_vision_frame = crop_vision_frame.astype(numpy.uint8)
+	return crop_vision_frame
+
+
+def prepare_crop_mask(crop_source_mask : Mask, crop_target_mask : Mask) -> Mask:
+	model_size = get_model_size()
+	blur_size = 6.25
+	kernel_size = 3
+	crop_mask = numpy.minimum.reduce([ crop_source_mask, crop_target_mask ])
+	crop_mask = crop_mask.reshape(model_size).clip(0, 1)
+	crop_mask = cv2.erode(crop_mask, cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (kernel_size, kernel_size)), iterations = 2)
+	crop_mask = cv2.GaussianBlur(crop_mask, (0, 0), blur_size)
+	return crop_mask
+
+
+def process_frame(inputs : DeepSwapperInputs) -> ProcessorOutputs:
+	reference_vision_frame = inputs.get('reference_vision_frame')
+	source_vision_frames = inputs.get('source_vision_frames')
+	target_vision_frames = inputs.get('target_vision_frames')
+	temp_vision_frame = inputs.get('temp_vision_frame')
+	temp_vision_mask = inputs.get('temp_vision_mask')
+
+	target_vision_frame = get_middle(target_vision_frames)
+	target_faces = select_faces(reference_vision_frame, source_vision_frames, target_vision_frames)
+
+	if target_faces:
+		for target_face in target_faces:
+			target_face = scale_face(target_face, target_vision_frame, temp_vision_frame)
+			temp_vision_frame = swap_face(target_face, temp_vision_frame)
+
+	return temp_vision_frame, temp_vision_mask

processors/modules/deep_swapper/locales.py

@@ -0,0 +1,18 @@
+from facefusion.types import Locales
+
+LOCALES : Locales =\
+{
+	'en':
+	{
+		'help':
+		{
+			'model': 'choose the model responsible for swapping the face',
+			'morph': 'morph between source face and target faces'
+		},
+		'uis':
+		{
+			'model_dropdown': 'DEEP SWAPPER MODEL',
+			'morph_slider': 'DEEP SWAPPER MORPH'
+		}
+	}
+}

processors/modules/deep_swapper/types.py

@@ -0,0 +1,18 @@
+from typing import Any, List, TypeAlias, TypedDict
+
+from numpy.typing import NDArray
+
+from facefusion.types import Mask, VisionFrame
+
+DeepSwapperInputs = TypedDict('DeepSwapperInputs',
+{
+	'reference_vision_frame' : VisionFrame,
+	'source_vision_frames' : List[VisionFrame],
+	'target_vision_frames' : List[VisionFrame],
+	'temp_vision_frame' : VisionFrame,
+	'temp_vision_mask' : Mask
+})
+
+DeepSwapperModel : TypeAlias = str
+
+DeepSwapperMorph : TypeAlias = NDArray[Any]