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processors/modules/face_editor/choices.py

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+from typing import List, Sequence, get_args
+
+from facefusion.common_helper import create_float_range
+from facefusion.processors.modules.face_editor.types import FaceEditorModel
+
+face_editor_models : List[FaceEditorModel] = list(get_args(FaceEditorModel))
+
+face_editor_eyebrow_direction_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)
+face_editor_eye_gaze_horizontal_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)
+face_editor_eye_gaze_vertical_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)
+face_editor_eye_open_ratio_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)
+face_editor_lip_open_ratio_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)
+face_editor_mouth_grim_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)
+face_editor_mouth_pout_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)
+face_editor_mouth_purse_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)
+face_editor_mouth_smile_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)
+face_editor_mouth_position_horizontal_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)
+face_editor_mouth_position_vertical_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)
+face_editor_head_pitch_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)
+face_editor_head_yaw_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)
+face_editor_head_roll_range : Sequence[float] = create_float_range(-1.0, 1.0, 0.05)

processors/modules/face_editor/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
+
+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_float_metavar, get_middle
+from facefusion.download import conditional_download_hashes, conditional_download_sources, resolve_download_url
+from facefusion.face_creator import scale_face
+from facefusion.face_helper import paste_back, scale_face_landmark_5, warp_face_by_face_landmark_5
+from facefusion.face_masker import create_box_mask
+from facefusion.face_selector import select_faces
+from facefusion.filesystem import in_directory, is_image, is_video, resolve_relative_path, same_file_extension
+from facefusion.processors.live_portrait import create_rotation, limit_angle, limit_expression
+from facefusion.processors.modules.face_editor import choices as face_editor_choices
+from facefusion.processors.modules.face_editor.types import FaceEditorInputs
+from facefusion.processors.types import LivePortraitExpression, LivePortraitFeatureVolume, LivePortraitMotionPoints, LivePortraitPitch, LivePortraitRoll, LivePortraitRotation, LivePortraitScale, LivePortraitTranslation, LivePortraitYaw, ProcessorOutputs
+from facefusion.program_helper import find_argument_group
+from facefusion.thread_helper import conditional_thread_semaphore, thread_semaphore
+from facefusion.types import ApplyStateItem, Args, DownloadScope, Face, FaceLandmark68, InferencePool, ModelOptions, ModelSet, ProcessMode, VisionFrame
+from facefusion.vision import read_static_image, read_static_video_frame
+
+
+@lru_cache()
+def create_static_model_set(download_scope : DownloadScope) -> ModelSet:
+	return\
+	{
+		'live_portrait':
+		{
+			'__metadata__':
+			{
+				'vendor': 'KwaiVGI',
+				'license': 'MIT',
+				'year': 2024
+			},
+			'hashes':
+			{
+				'feature_extractor':
+				{
+					'url': resolve_download_url('models-3.0.0', 'live_portrait_feature_extractor.hash'),
+					'path': resolve_relative_path('../.assets/models/live_portrait_feature_extractor.hash')
+				},
+				'motion_extractor':
+				{
+					'url': resolve_download_url('models-3.0.0', 'live_portrait_motion_extractor.hash'),
+					'path': resolve_relative_path('../.assets/models/live_portrait_motion_extractor.hash')
+				},
+				'eye_retargeter':
+				{
+					'url': resolve_download_url('models-3.0.0', 'live_portrait_eye_retargeter.hash'),
+					'path': resolve_relative_path('../.assets/models/live_portrait_eye_retargeter.hash')
+				},
+				'lip_retargeter':
+				{
+					'url': resolve_download_url('models-3.0.0', 'live_portrait_lip_retargeter.hash'),
+					'path': resolve_relative_path('../.assets/models/live_portrait_lip_retargeter.hash')
+				},
+				'stitcher':
+				{
+					'url': resolve_download_url('models-3.0.0', 'live_portrait_stitcher.hash'),
+					'path': resolve_relative_path('../.assets/models/live_portrait_stitcher.hash')
+				},
+				'generator':
+				{
+					'url': resolve_download_url('models-3.0.0', 'live_portrait_generator.hash'),
+					'path': resolve_relative_path('../.assets/models/live_portrait_generator.hash')
+				}
+			},
+			'sources':
+			{
+				'feature_extractor':
+				{
+					'url': resolve_download_url('models-3.0.0', 'live_portrait_feature_extractor.onnx'),
+					'path': resolve_relative_path('../.assets/models/live_portrait_feature_extractor.onnx')
+				},
+				'motion_extractor':
+				{
+					'url': resolve_download_url('models-3.0.0', 'live_portrait_motion_extractor.onnx'),
+					'path': resolve_relative_path('../.assets/models/live_portrait_motion_extractor.onnx')
+				},
+				'eye_retargeter':
+				{
+					'url': resolve_download_url('models-3.0.0', 'live_portrait_eye_retargeter.onnx'),
+					'path': resolve_relative_path('../.assets/models/live_portrait_eye_retargeter.onnx')
+				},
+				'lip_retargeter':
+				{
+					'url': resolve_download_url('models-3.0.0', 'live_portrait_lip_retargeter.onnx'),
+					'path': resolve_relative_path('../.assets/models/live_portrait_lip_retargeter.onnx')
+				},
+				'stitcher':
+				{
+					'url': resolve_download_url('models-3.0.0', 'live_portrait_stitcher.onnx'),
+					'path': resolve_relative_path('../.assets/models/live_portrait_stitcher.onnx')
+				},
+				'generator':
+				{
+					'url': resolve_download_url('models-3.0.0', 'live_portrait_generator.onnx'),
+					'path': resolve_relative_path('../.assets/models/live_portrait_generator.onnx')
+				}
+			},
+			'template': 'ffhq_512',
+			'size': (512, 512)
+		}
+	}
+
+
+def get_inference_pool() -> InferencePool:
+	model_names = [ state_manager.get_item('face_editor_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('face_editor_model') ]
+	inference_manager.clear_inference_pool(__name__, model_names)
+
+
+def get_model_options() -> ModelOptions:
+	model_name = state_manager.get_item('face_editor_model')
+	return create_static_model_set('full').get(model_name)
+
+
+def register_args(program : ArgumentParser) -> None:
+	group_processors = find_argument_group(program, 'processors')
+	if group_processors:
+		group_processors.add_argument('--face-editor-model', help = translator.get('help.model', __package__), default = config.get_str_value('processors', 'face_editor_model', 'live_portrait'), choices = face_editor_choices.face_editor_models)
+		group_processors.add_argument('--face-editor-eyebrow-direction', help = translator.get('help.eyebrow_direction', __package__), type = float, default = config.get_float_value('processors', 'face_editor_eyebrow_direction', '0'), choices = face_editor_choices.face_editor_eyebrow_direction_range, metavar = create_float_metavar(face_editor_choices.face_editor_eyebrow_direction_range))
+		group_processors.add_argument('--face-editor-eye-gaze-horizontal', help = translator.get('help.eye_gaze_horizontal', __package__), type = float, default = config.get_float_value('processors', 'face_editor_eye_gaze_horizontal', '0'), choices = face_editor_choices.face_editor_eye_gaze_horizontal_range, metavar = create_float_metavar(face_editor_choices.face_editor_eye_gaze_horizontal_range))
+		group_processors.add_argument('--face-editor-eye-gaze-vertical', help = translator.get('help.eye_gaze_vertical', __package__), type = float, default = config.get_float_value('processors', 'face_editor_eye_gaze_vertical', '0'), choices = face_editor_choices.face_editor_eye_gaze_vertical_range, metavar = create_float_metavar(face_editor_choices.face_editor_eye_gaze_vertical_range))
+		group_processors.add_argument('--face-editor-eye-open-ratio', help = translator.get('help.eye_open_ratio', __package__), type = float, default = config.get_float_value('processors', 'face_editor_eye_open_ratio', '0'), choices = face_editor_choices.face_editor_eye_open_ratio_range, metavar = create_float_metavar(face_editor_choices.face_editor_eye_open_ratio_range))
+		group_processors.add_argument('--face-editor-lip-open-ratio', help = translator.get('help.lip_open_ratio', __package__), type = float, default = config.get_float_value('processors', 'face_editor_lip_open_ratio', '0'), choices = face_editor_choices.face_editor_lip_open_ratio_range, metavar = create_float_metavar(face_editor_choices.face_editor_lip_open_ratio_range))
+		group_processors.add_argument('--face-editor-mouth-grim', help = translator.get('help.mouth_grim', __package__), type = float, default = config.get_float_value('processors', 'face_editor_mouth_grim', '0'), choices = face_editor_choices.face_editor_mouth_grim_range, metavar = create_float_metavar(face_editor_choices.face_editor_mouth_grim_range))
+		group_processors.add_argument('--face-editor-mouth-pout', help = translator.get('help.mouth_pout', __package__), type = float, default = config.get_float_value('processors', 'face_editor_mouth_pout', '0'), choices = face_editor_choices.face_editor_mouth_pout_range, metavar = create_float_metavar(face_editor_choices.face_editor_mouth_pout_range))
+		group_processors.add_argument('--face-editor-mouth-purse', help = translator.get('help.mouth_purse', __package__), type = float, default = config.get_float_value('processors', 'face_editor_mouth_purse', '0'), choices = face_editor_choices.face_editor_mouth_purse_range, metavar = create_float_metavar(face_editor_choices.face_editor_mouth_purse_range))
+		group_processors.add_argument('--face-editor-mouth-smile', help = translator.get('help.mouth_smile', __package__), type = float, default = config.get_float_value('processors', 'face_editor_mouth_smile', '0'), choices = face_editor_choices.face_editor_mouth_smile_range, metavar = create_float_metavar(face_editor_choices.face_editor_mouth_smile_range))
+		group_processors.add_argument('--face-editor-mouth-position-horizontal', help = translator.get('help.mouth_position_horizontal', __package__), type = float, default = config.get_float_value('processors', 'face_editor_mouth_position_horizontal', '0'), choices = face_editor_choices.face_editor_mouth_position_horizontal_range, metavar = create_float_metavar(face_editor_choices.face_editor_mouth_position_horizontal_range))
+		group_processors.add_argument('--face-editor-mouth-position-vertical', help = translator.get('help.mouth_position_vertical', __package__), type = float, default = config.get_float_value('processors', 'face_editor_mouth_position_vertical', '0'), choices = face_editor_choices.face_editor_mouth_position_vertical_range, metavar = create_float_metavar(face_editor_choices.face_editor_mouth_position_vertical_range))
+		group_processors.add_argument('--face-editor-head-pitch', help = translator.get('help.head_pitch', __package__), type = float, default = config.get_float_value('processors', 'face_editor_head_pitch', '0'), choices = face_editor_choices.face_editor_head_pitch_range, metavar = create_float_metavar(face_editor_choices.face_editor_head_pitch_range))
+		group_processors.add_argument('--face-editor-head-yaw', help = translator.get('help.head_yaw', __package__), type = float, default = config.get_float_value('processors', 'face_editor_head_yaw', '0'), choices = face_editor_choices.face_editor_head_yaw_range, metavar = create_float_metavar(face_editor_choices.face_editor_head_yaw_range))
+		group_processors.add_argument('--face-editor-head-roll', help = translator.get('help.head_roll', __package__), type = float, default = config.get_float_value('processors', 'face_editor_head_roll', '0'), choices = face_editor_choices.face_editor_head_roll_range, metavar = create_float_metavar(face_editor_choices.face_editor_head_roll_range))
+		facefusion.jobs.job_store.register_step_keys([ 'face_editor_model', 'face_editor_eyebrow_direction', 'face_editor_eye_gaze_horizontal', 'face_editor_eye_gaze_vertical', 'face_editor_eye_open_ratio', 'face_editor_lip_open_ratio', 'face_editor_mouth_grim', 'face_editor_mouth_pout', 'face_editor_mouth_purse', 'face_editor_mouth_smile', 'face_editor_mouth_position_horizontal', 'face_editor_mouth_position_vertical', 'face_editor_head_pitch', 'face_editor_head_yaw', 'face_editor_head_roll' ])
+
+
+def apply_args(args : Args, apply_state_item : ApplyStateItem) -> None:
+	apply_state_item('face_editor_model', args.get('face_editor_model'))
+	apply_state_item('face_editor_eyebrow_direction', args.get('face_editor_eyebrow_direction'))
+	apply_state_item('face_editor_eye_gaze_horizontal', args.get('face_editor_eye_gaze_horizontal'))
+	apply_state_item('face_editor_eye_gaze_vertical', args.get('face_editor_eye_gaze_vertical'))
+	apply_state_item('face_editor_eye_open_ratio', args.get('face_editor_eye_open_ratio'))
+	apply_state_item('face_editor_lip_open_ratio', args.get('face_editor_lip_open_ratio'))
+	apply_state_item('face_editor_mouth_grim', args.get('face_editor_mouth_grim'))
+	apply_state_item('face_editor_mouth_pout', args.get('face_editor_mouth_pout'))
+	apply_state_item('face_editor_mouth_purse', args.get('face_editor_mouth_purse'))
+	apply_state_item('face_editor_mouth_smile', args.get('face_editor_mouth_smile'))
+	apply_state_item('face_editor_mouth_position_horizontal', args.get('face_editor_mouth_position_horizontal'))
+	apply_state_item('face_editor_mouth_position_vertical', args.get('face_editor_mouth_position_vertical'))
+	apply_state_item('face_editor_head_pitch', args.get('face_editor_head_pitch'))
+	apply_state_item('face_editor_head_yaw', args.get('face_editor_head_yaw'))
+	apply_state_item('face_editor_head_roll', args.get('face_editor_head_roll'))
+
+
+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
+
+	return conditional_download_hashes(model_hash_set) and conditional_download_sources(model_source_set)
+
+
+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 edit_face(target_face : Face, temp_vision_frame : VisionFrame) -> VisionFrame:
+	model_template = get_model_options().get('template')
+	model_size = get_model_options().get('size')
+	face_landmark_5 = scale_face_landmark_5(target_face.landmark_set.get('5/68'), 1.5)
+	crop_vision_frame, affine_matrix = warp_face_by_face_landmark_5(temp_vision_frame, face_landmark_5, model_template, model_size)
+	box_mask = create_box_mask(crop_vision_frame, state_manager.get_item('face_mask_blur'), (0, 0, 0, 0))
+	crop_vision_frame = prepare_crop_frame(crop_vision_frame)
+	crop_vision_frame = apply_edit(crop_vision_frame, target_face.landmark_set.get('68'))
+	crop_vision_frame = normalize_crop_frame(crop_vision_frame)
+	paste_vision_frame = paste_back(temp_vision_frame, crop_vision_frame, box_mask, affine_matrix)
+	return paste_vision_frame
+
+
+def apply_edit(crop_vision_frame : VisionFrame, face_landmark_68 : FaceLandmark68) -> VisionFrame:
+	feature_volume = forward_extract_feature(crop_vision_frame)
+	pitch, yaw, roll, scale, translation, expression, motion_points = forward_extract_motion(crop_vision_frame)
+	rotation = create_rotation(pitch, yaw, roll)
+	motion_points_target = scale * (motion_points @ rotation.T + expression) + translation
+	expression = edit_eye_gaze(expression)
+	expression = edit_mouth_grim(expression)
+	expression = edit_mouth_position(expression)
+	expression = edit_mouth_pout(expression)
+	expression = edit_mouth_purse(expression)
+	expression = edit_mouth_smile(expression)
+	expression = edit_eyebrow_direction(expression)
+	expression = limit_expression(expression)
+	rotation = edit_head_rotation(pitch, yaw, roll)
+	motion_points_source = motion_points @ rotation.T
+	motion_points_source += expression
+	motion_points_source *= scale
+	motion_points_source += translation
+	motion_points_source += edit_eye_open(motion_points_target, face_landmark_68)
+	motion_points_source += edit_lip_open(motion_points_target, face_landmark_68)
+	motion_points_source = forward_stitch_motion_points(motion_points_source, motion_points_target)
+	crop_vision_frame = forward_generate_frame(feature_volume, motion_points_source, motion_points_target)
+	return crop_vision_frame
+
+
+def forward_extract_feature(crop_vision_frame : VisionFrame) -> LivePortraitFeatureVolume:
+	feature_extractor = get_inference_pool().get('feature_extractor')
+
+	with conditional_thread_semaphore():
+		feature_volume = feature_extractor.run(None,
+		{
+			'input': crop_vision_frame
+		})[0]
+
+	return feature_volume
+
+
+def forward_extract_motion(crop_vision_frame : VisionFrame) -> Tuple[LivePortraitPitch, LivePortraitYaw, LivePortraitRoll, LivePortraitScale, LivePortraitTranslation, LivePortraitExpression, LivePortraitMotionPoints]:
+	motion_extractor = get_inference_pool().get('motion_extractor')
+
+	with conditional_thread_semaphore():
+		pitch, yaw, roll, scale, translation, expression, motion_points = motion_extractor.run(None,
+		{
+			'input': crop_vision_frame
+		})
+
+	return pitch, yaw, roll, scale, translation, expression, motion_points
+
+
+def forward_retarget_eye(eye_motion_points : LivePortraitMotionPoints) -> LivePortraitMotionPoints:
+	eye_retargeter = get_inference_pool().get('eye_retargeter')
+
+	with conditional_thread_semaphore():
+		eye_motion_points = eye_retargeter.run(None,
+		{
+			'input': eye_motion_points
+		})[0]
+
+	return eye_motion_points
+
+
+def forward_retarget_lip(lip_motion_points : LivePortraitMotionPoints) -> LivePortraitMotionPoints:
+	lip_retargeter = get_inference_pool().get('lip_retargeter')
+
+	with conditional_thread_semaphore():
+		lip_motion_points = lip_retargeter.run(None,
+		{
+			'input': lip_motion_points
+		})[0]
+
+	return lip_motion_points
+
+
+def forward_stitch_motion_points(source_motion_points : LivePortraitMotionPoints, target_motion_points : LivePortraitMotionPoints) -> LivePortraitMotionPoints:
+	stitcher = get_inference_pool().get('stitcher')
+
+	with thread_semaphore():
+		motion_points = stitcher.run(None,
+		{
+			'source': source_motion_points,
+			'target': target_motion_points
+		})[0]
+
+	return motion_points
+
+
+def forward_generate_frame(feature_volume : LivePortraitFeatureVolume, source_motion_points : LivePortraitMotionPoints, target_motion_points : LivePortraitMotionPoints) -> VisionFrame:
+	generator = get_inference_pool().get('generator')
+
+	with thread_semaphore():
+		crop_vision_frame = generator.run(None,
+		{
+			'feature_volume': feature_volume,
+			'source': source_motion_points,
+			'target': target_motion_points
+		})[0][0]
+
+	return crop_vision_frame
+
+
+def edit_eyebrow_direction(expression : LivePortraitExpression) -> LivePortraitExpression:
+	face_editor_eyebrow = state_manager.get_item('face_editor_eyebrow_direction')
+
+	if face_editor_eyebrow > 0:
+		expression[0, 1, 1] += numpy.interp(face_editor_eyebrow, [ -1, 1 ], [ -0.015, 0.015 ])
+		expression[0, 2, 1] -= numpy.interp(face_editor_eyebrow, [ -1, 1 ], [ -0.020, 0.020 ])
+	else:
+		expression[0, 1, 0] -= numpy.interp(face_editor_eyebrow, [ -1, 1 ], [ -0.015, 0.015 ])
+		expression[0, 2, 0] += numpy.interp(face_editor_eyebrow, [ -1, 1 ], [ -0.020, 0.020 ])
+		expression[0, 1, 1] += numpy.interp(face_editor_eyebrow, [ -1, 1 ], [ -0.005, 0.005 ])
+		expression[0, 2, 1] -= numpy.interp(face_editor_eyebrow, [ -1, 1 ], [ -0.005, 0.005 ])
+	return expression
+
+
+def edit_eye_gaze(expression : LivePortraitExpression) -> LivePortraitExpression:
+	face_editor_eye_gaze_horizontal = state_manager.get_item('face_editor_eye_gaze_horizontal')
+	face_editor_eye_gaze_vertical = state_manager.get_item('face_editor_eye_gaze_vertical')
+
+	if face_editor_eye_gaze_horizontal > 0:
+		expression[0, 11, 0] += numpy.interp(face_editor_eye_gaze_horizontal, [ -1, 1 ], [ -0.015, 0.015 ])
+		expression[0, 15, 0] += numpy.interp(face_editor_eye_gaze_horizontal, [ -1, 1 ], [ -0.020, 0.020 ])
+	else:
+		expression[0, 11, 0] += numpy.interp(face_editor_eye_gaze_horizontal, [ -1, 1 ], [ -0.020, 0.020 ])
+		expression[0, 15, 0] += numpy.interp(face_editor_eye_gaze_horizontal, [ -1, 1 ], [ -0.015, 0.015 ])
+	expression[0, 1, 1] += numpy.interp(face_editor_eye_gaze_vertical, [ -1, 1 ], [ -0.0025, 0.0025 ])
+	expression[0, 2, 1] -= numpy.interp(face_editor_eye_gaze_vertical, [ -1, 1 ], [ -0.0025, 0.0025 ])
+	expression[0, 11, 1] -= numpy.interp(face_editor_eye_gaze_vertical, [ -1, 1 ], [ -0.010, 0.010 ])
+	expression[0, 13, 1] -= numpy.interp(face_editor_eye_gaze_vertical, [ -1, 1 ], [ -0.005, 0.005 ])
+	expression[0, 15, 1] -= numpy.interp(face_editor_eye_gaze_vertical, [ -1, 1 ], [ -0.010, 0.010 ])
+	expression[0, 16, 1] -= numpy.interp(face_editor_eye_gaze_vertical, [ -1, 1 ], [ -0.005, 0.005 ])
+	return expression
+
+
+def edit_eye_open(motion_points : LivePortraitMotionPoints, face_landmark_68 : FaceLandmark68) -> LivePortraitMotionPoints:
+	face_editor_eye_open_ratio = state_manager.get_item('face_editor_eye_open_ratio')
+	left_eye_ratio = calculate_distance_ratio(face_landmark_68, 37, 40, 39, 36)
+	right_eye_ratio = calculate_distance_ratio(face_landmark_68, 43, 46, 45, 42)
+
+	if face_editor_eye_open_ratio < 0:
+		eye_motion_points = numpy.concatenate([ motion_points.ravel(), [ left_eye_ratio, right_eye_ratio, 0.0 ] ])
+	else:
+		eye_motion_points = numpy.concatenate([ motion_points.ravel(), [ left_eye_ratio, right_eye_ratio, 0.6 ] ])
+	eye_motion_points = eye_motion_points.reshape(1, -1).astype(numpy.float32)
+	eye_motion_points = forward_retarget_eye(eye_motion_points) * numpy.abs(face_editor_eye_open_ratio)
+	eye_motion_points = eye_motion_points.reshape(-1, 21, 3)
+	return eye_motion_points
+
+
+def edit_lip_open(motion_points : LivePortraitMotionPoints, face_landmark_68 : FaceLandmark68) -> LivePortraitMotionPoints:
+	face_editor_lip_open_ratio = state_manager.get_item('face_editor_lip_open_ratio')
+	lip_ratio = calculate_distance_ratio(face_landmark_68, 62, 66, 54, 48)
+
+	if face_editor_lip_open_ratio < 0:
+		lip_motion_points = numpy.concatenate([ motion_points.ravel(), [ lip_ratio, 0.0 ] ])
+	else:
+		lip_motion_points = numpy.concatenate([ motion_points.ravel(), [ lip_ratio, 1.0 ] ])
+	lip_motion_points = lip_motion_points.reshape(1, -1).astype(numpy.float32)
+	lip_motion_points = forward_retarget_lip(lip_motion_points) * numpy.abs(face_editor_lip_open_ratio)
+	lip_motion_points = lip_motion_points.reshape(-1, 21, 3)
+	return lip_motion_points
+
+
+def edit_mouth_grim(expression : LivePortraitExpression) -> LivePortraitExpression:
+	face_editor_mouth_grim = state_manager.get_item('face_editor_mouth_grim')
+	if face_editor_mouth_grim > 0:
+		expression[0, 17, 2] -= numpy.interp(face_editor_mouth_grim, [ -1, 1 ], [ -0.005, 0.005 ])
+		expression[0, 19, 2] += numpy.interp(face_editor_mouth_grim, [ -1, 1 ], [ -0.01, 0.01 ])
+		expression[0, 20, 1] -= numpy.interp(face_editor_mouth_grim, [ -1, 1 ], [ -0.06, 0.06 ])
+		expression[0, 20, 2] -= numpy.interp(face_editor_mouth_grim, [ -1, 1 ], [ -0.03, 0.03 ])
+	else:
+		expression[0, 19, 1] -= numpy.interp(face_editor_mouth_grim, [ -1, 1 ], [ -0.05, 0.05 ])
+		expression[0, 19, 2] -= numpy.interp(face_editor_mouth_grim, [ -1, 1 ], [ -0.02, 0.02 ])
+		expression[0, 20, 2] -= numpy.interp(face_editor_mouth_grim, [ -1, 1 ], [ -0.03, 0.03 ])
+	return expression
+
+
+def edit_mouth_position(expression : LivePortraitExpression) -> LivePortraitExpression:
+	face_editor_mouth_position_horizontal = state_manager.get_item('face_editor_mouth_position_horizontal')
+	face_editor_mouth_position_vertical = state_manager.get_item('face_editor_mouth_position_vertical')
+	expression[0, 19, 0] += numpy.interp(face_editor_mouth_position_horizontal, [ -1, 1 ], [ -0.05, 0.05 ])
+	expression[0, 20, 0] += numpy.interp(face_editor_mouth_position_horizontal, [ -1, 1 ], [ -0.04, 0.04 ])
+	if face_editor_mouth_position_vertical > 0:
+		expression[0, 19, 1] -= numpy.interp(face_editor_mouth_position_vertical, [ -1, 1 ], [ -0.04, 0.04 ])
+		expression[0, 20, 1] -= numpy.interp(face_editor_mouth_position_vertical, [ -1, 1 ], [ -0.02, 0.02 ])
+	else:
+		expression[0, 19, 1] -= numpy.interp(face_editor_mouth_position_vertical, [ -1, 1 ], [ -0.05, 0.05 ])
+		expression[0, 20, 1] -= numpy.interp(face_editor_mouth_position_vertical, [ -1, 1 ], [ -0.04, 0.04 ])
+	return expression
+
+
+def edit_mouth_pout(expression : LivePortraitExpression) -> LivePortraitExpression:
+	face_editor_mouth_pout = state_manager.get_item('face_editor_mouth_pout')
+	if face_editor_mouth_pout > 0:
+		expression[0, 19, 1] -= numpy.interp(face_editor_mouth_pout, [ -1, 1 ], [ -0.022, 0.022 ])
+		expression[0, 19, 2] += numpy.interp(face_editor_mouth_pout, [ -1, 1 ], [ -0.025, 0.025 ])
+		expression[0, 20, 2] -= numpy.interp(face_editor_mouth_pout, [ -1, 1 ], [ -0.002, 0.002 ])
+	else:
+		expression[0, 19, 1] += numpy.interp(face_editor_mouth_pout, [ -1, 1 ], [ -0.022, 0.022 ])
+		expression[0, 19, 2] += numpy.interp(face_editor_mouth_pout, [ -1, 1 ], [ -0.025, 0.025 ])
+		expression[0, 20, 2] -= numpy.interp(face_editor_mouth_pout, [ -1, 1 ], [ -0.002, 0.002 ])
+	return expression
+
+
+def edit_mouth_purse(expression : LivePortraitExpression) -> LivePortraitExpression:
+	face_editor_mouth_purse = state_manager.get_item('face_editor_mouth_purse')
+	if face_editor_mouth_purse > 0:
+		expression[0, 19, 1] -= numpy.interp(face_editor_mouth_purse, [ -1, 1 ], [ -0.04, 0.04 ])
+		expression[0, 19, 2] -= numpy.interp(face_editor_mouth_purse, [ -1, 1 ], [ -0.02, 0.02 ])
+	else:
+		expression[0, 14, 1] -= numpy.interp(face_editor_mouth_purse, [ -1, 1 ], [ -0.02, 0.02 ])
+		expression[0, 17, 2] += numpy.interp(face_editor_mouth_purse, [ -1, 1 ], [ -0.01, 0.01 ])
+		expression[0, 19, 2] -= numpy.interp(face_editor_mouth_purse, [ -1, 1 ], [ -0.015, 0.015 ])
+		expression[0, 20, 2] -= numpy.interp(face_editor_mouth_purse, [ -1, 1 ], [ -0.002, 0.002 ])
+	return expression
+
+
+def edit_mouth_smile(expression : LivePortraitExpression) -> LivePortraitExpression:
+	face_editor_mouth_smile = state_manager.get_item('face_editor_mouth_smile')
+	if face_editor_mouth_smile > 0:
+		expression[0, 20, 1] -= numpy.interp(face_editor_mouth_smile, [ -1, 1 ], [ -0.015, 0.015 ])
+		expression[0, 14, 1] -= numpy.interp(face_editor_mouth_smile, [ -1, 1 ], [ -0.025, 0.025 ])
+		expression[0, 17, 1] += numpy.interp(face_editor_mouth_smile, [ -1, 1 ], [ -0.01, 0.01 ])
+		expression[0, 17, 2] += numpy.interp(face_editor_mouth_smile, [ -1, 1 ], [ -0.004, 0.004 ])
+		expression[0, 3, 1] -= numpy.interp(face_editor_mouth_smile, [ -1, 1 ], [ -0.0045, 0.0045 ])
+		expression[0, 7, 1] -= numpy.interp(face_editor_mouth_smile, [ -1, 1 ], [ -0.0045, 0.0045 ])
+	else:
+		expression[0, 14, 1] -= numpy.interp(face_editor_mouth_smile, [ -1, 1 ], [ -0.02, 0.02 ])
+		expression[0, 17, 1] += numpy.interp(face_editor_mouth_smile, [ -1, 1 ], [ -0.003, 0.003 ])
+		expression[0, 19, 1] += numpy.interp(face_editor_mouth_smile, [ -1, 1 ], [ -0.02, 0.02 ])
+		expression[0, 19, 2] -= numpy.interp(face_editor_mouth_smile, [ -1, 1 ], [ -0.005, 0.005 ])
+		expression[0, 20, 2] += numpy.interp(face_editor_mouth_smile, [ -1, 1 ], [ -0.01, 0.01 ])
+		expression[0, 3, 1] += numpy.interp(face_editor_mouth_smile, [ -1, 1 ], [ -0.0045, 0.0045 ])
+		expression[0, 7, 1] += numpy.interp(face_editor_mouth_smile, [ -1, 1 ], [ -0.0045, 0.0045 ])
+	return expression
+
+
+def edit_head_rotation(pitch : LivePortraitPitch, yaw : LivePortraitYaw, roll : LivePortraitRoll) -> LivePortraitRotation:
+	face_editor_head_pitch = state_manager.get_item('face_editor_head_pitch')
+	face_editor_head_yaw = state_manager.get_item('face_editor_head_yaw')
+	face_editor_head_roll = state_manager.get_item('face_editor_head_roll')
+	edit_pitch = pitch + float(numpy.interp(face_editor_head_pitch, [ -1, 1 ], [ 20, -20 ]))
+	edit_yaw = yaw + float(numpy.interp(face_editor_head_yaw, [ -1, 1 ], [ 60, -60 ]))
+	edit_roll = roll + float(numpy.interp(face_editor_head_roll, [ -1, 1 ], [ -15, 15 ]))
+	edit_pitch, edit_yaw, edit_roll = limit_angle(pitch, yaw, roll, edit_pitch, edit_yaw, edit_roll)
+	rotation = create_rotation(edit_pitch, edit_yaw, edit_roll)
+	return rotation
+
+
+def calculate_distance_ratio(face_landmark_68 : FaceLandmark68, top_index : int, bottom_index : int, left_index : int, right_index : int) -> float:
+	vertical_direction = face_landmark_68[top_index] - face_landmark_68[bottom_index]
+	horizontal_direction = face_landmark_68[left_index] - face_landmark_68[right_index]
+	distance_ratio = float(numpy.linalg.norm(vertical_direction) / (numpy.linalg.norm(horizontal_direction) + 1e-6))
+	return distance_ratio
+
+
+def prepare_crop_frame(crop_vision_frame : VisionFrame) -> VisionFrame:
+	model_size = get_model_options().get('size')
+	prepare_size = (model_size[0] // 2, model_size[1] // 2)
+	crop_vision_frame = cv2.resize(crop_vision_frame, prepare_size, interpolation = cv2.INTER_AREA)
+	crop_vision_frame = crop_vision_frame[:, :, ::-1] / 255.0
+	crop_vision_frame = numpy.expand_dims(crop_vision_frame.transpose(2, 0, 1), axis = 0).astype(numpy.float32)
+	return crop_vision_frame
+
+
+def normalize_crop_frame(crop_vision_frame : VisionFrame) -> VisionFrame:
+	crop_vision_frame = crop_vision_frame.transpose(1, 2, 0).clip(0, 1)
+	crop_vision_frame = (crop_vision_frame * 255.0)
+	crop_vision_frame = crop_vision_frame.astype(numpy.uint8)[:, :, ::-1]
+	return crop_vision_frame
+
+
+def process_frame(inputs : FaceEditorInputs) -> 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 = edit_face(target_face, temp_vision_frame)
+
+	return temp_vision_frame, temp_vision_mask

processors/modules/face_editor/locales.py

@@ -0,0 +1,44 @@
+from facefusion.types import Locales
+
+LOCALES : Locales =\
+{
+	'en':
+	{
+		'help':
+		{
+			'model': 'choose the model responsible for editing the face',
+			'eyebrow_direction': 'specify the eyebrow direction',
+			'eye_gaze_horizontal': 'specify the horizontal eye gaze',
+			'eye_gaze_vertical': 'specify the vertical eye gaze',
+			'eye_open_ratio': 'specify the ratio of eye opening',
+			'lip_open_ratio': 'specify the ratio of lip opening',
+			'mouth_grim': 'specify the mouth grim',
+			'mouth_pout': 'specify the mouth pout',
+			'mouth_purse': 'specify the mouth purse',
+			'mouth_smile': 'specify the mouth smile',
+			'mouth_position_horizontal': 'specify the horizontal mouth position',
+			'mouth_position_vertical': 'specify the vertical mouth position',
+			'head_pitch': 'specify the head pitch',
+			'head_yaw': 'specify the head yaw',
+			'head_roll': 'specify the head roll'
+		},
+		'uis':
+		{
+			'eyebrow_direction_slider': 'FACE EDITOR EYEBROW DIRECTION',
+			'eye_gaze_horizontal_slider': 'FACE EDITOR EYE GAZE HORIZONTAL',
+			'eye_gaze_vertical_slider': 'FACE EDITOR EYE GAZE VERTICAL',
+			'eye_open_ratio_slider': 'FACE EDITOR EYE OPEN RATIO',
+			'head_pitch_slider': 'FACE EDITOR HEAD PITCH',
+			'head_roll_slider': 'FACE EDITOR HEAD ROLL',
+			'head_yaw_slider': 'FACE EDITOR HEAD YAW',
+			'lip_open_ratio_slider': 'FACE EDITOR LIP OPEN RATIO',
+			'model_dropdown': 'FACE EDITOR MODEL',
+			'mouth_grim_slider': 'FACE EDITOR MOUTH GRIM',
+			'mouth_position_horizontal_slider': 'FACE EDITOR MOUTH POSITION HORIZONTAL',
+			'mouth_position_vertical_slider': 'FACE EDITOR MOUTH POSITION VERTICAL',
+			'mouth_pout_slider': 'FACE EDITOR MOUTH POUT',
+			'mouth_purse_slider': 'FACE EDITOR MOUTH PURSE',
+			'mouth_smile_slider': 'FACE EDITOR MOUTH SMILE'
+		}
+	}
+}

processors/modules/face_editor/types.py

@@ -0,0 +1,14 @@
+from typing import List, Literal, TypedDict
+
+from facefusion.types import Mask, VisionFrame
+
+FaceEditorInputs = TypedDict('FaceEditorInputs',
+{
+	'reference_vision_frame' : VisionFrame,
+	'source_vision_frames' : List[VisionFrame],
+	'target_vision_frames' : List[VisionFrame],
+	'temp_vision_frame' : VisionFrame,
+	'temp_vision_mask' : Mask
+})
+
+FaceEditorModel = Literal['live_portrait']