diff --git a/facefusion/face_helper.py b/facefusion/face_helper.py
index fa0bfdeb..d33f9286 100644
--- a/facefusion/face_helper.py
+++ b/facefusion/face_helper.py
@@ -1,11 +1,12 @@
-from typing import Tuple, Dict
+from typing import Tuple, Dict, Any
 
 import cv2
 import numpy
+from cv2.typing import Size
 
 from facefusion.typing import Face, Frame, Matrix, Template
 
-TEMPLATES : Dict[Template, numpy.array] =\
+TEMPLATES : Dict[Template, numpy.ndarray[Any, Any]] =\
 {
 	'arcface': numpy.array(
 	[
@@ -26,7 +27,7 @@ TEMPLATES : Dict[Template, numpy.array] =\
 }
 
 
-def warp_face(target_face : Face, temp_frame : Frame, template : Template, size = cv2.typing.Size) -> Tuple[Frame, Matrix]:
+def warp_face(target_face : Face, temp_frame : Frame, template : Template, size : Size) -> Tuple[Frame, Matrix]:
 	affine_matrix = cv2.estimateAffinePartial2D(target_face.kps, TEMPLATES[template], method = cv2.LMEDS)[0]
 	crop_frame = cv2.warpAffine(temp_frame, affine_matrix, size)
 	return crop_frame, affine_matrix
diff --git a/facefusion/processors/frame/modules/face_enhancer.py b/facefusion/processors/frame/modules/face_enhancer.py
index fe6f28d6..24cccd8c 100644
--- a/facefusion/processors/frame/modules/face_enhancer.py
+++ b/facefusion/processors/frame/modules/face_enhancer.py
@@ -17,7 +17,6 @@ from facefusion.processors.frame import globals as frame_processors_globals
 from facefusion.processors.frame import choices as frame_processors_choices
 
 FRAME_PROCESSOR = None
-THREAD_SEMAPHORE : threading.Semaphore = threading.Semaphore()
 THREAD_LOCK : threading.Lock = threading.Lock()
 NAME = 'FACEFUSION.FRAME_PROCESSOR.FACE_ENHANCER'
 MODELS : Dict[str, ModelValue] =\
@@ -137,8 +136,7 @@ def enhance_face(target_face: Face, temp_frame: Frame) -> Frame:
 			frame_processor_inputs[frame_processor_input.name] = crop_frame
 		if frame_processor_input.name == 'weight':
 			frame_processor_inputs[frame_processor_input.name] = numpy.array([ 1 ], dtype = numpy.double)
-	with THREAD_SEMAPHORE:
-		crop_frame = frame_processor.run(None, frame_processor_inputs)[0][0]
+	crop_frame = frame_processor.run(None, frame_processor_inputs)[0][0]
 	crop_frame = normalize_crop_frame(crop_frame)
 	paste_frame = paste_back(temp_frame, crop_frame, affine_matrix)
 	temp_frame = blend_frame(temp_frame, paste_frame)
diff --git a/facefusion/processors/frame/modules/face_swapper.py b/facefusion/processors/frame/modules/face_swapper.py
index 5d81ee5a..cd9ddc32 100644
--- a/facefusion/processors/frame/modules/face_swapper.py
+++ b/facefusion/processors/frame/modules/face_swapper.py
@@ -22,7 +22,6 @@ from facefusion.processors.frame import choices as frame_processors_choices
 
 FRAME_PROCESSOR = None
 MODEL_MATRIX = None
-THREAD_SEMAPHORE : threading.Semaphore = threading.Semaphore()
 THREAD_LOCK : threading.Lock = threading.Lock()
 NAME = 'FACEFUSION.FRAME_PROCESSOR.FACE_SWAPPER'
 MODELS : Dict[str, ModelValue] =\
@@ -141,16 +140,16 @@ def post_process() -> None:
 
 def swap_face(source_face : Face, target_face : Face, temp_frame : Frame) -> Frame:
 	frame_processor = get_frame_processor()
+	source_face = prepare_source_face(source_face)
 	crop_frame, affine_matrix = warp_face(target_face, temp_frame, 'arcface', (128, 128))
 	crop_frame = prepare_crop_frame(crop_frame)
 	frame_processor_inputs = {}
 	for frame_processor_input in frame_processor.get_inputs():
+		if frame_processor_input.name == 'source':
+			frame_processor_inputs[frame_processor_input.name] = source_face
 		if frame_processor_input.name == 'target':
 			frame_processor_inputs[frame_processor_input.name] = crop_frame
-		if frame_processor_input.name == 'source':
-			frame_processor_inputs[frame_processor_input.name] = prepare_source_face(source_face)
-	with THREAD_SEMAPHORE:
-		crop_frame = frame_processor.run(None, frame_processor_inputs)[0][0]
+	crop_frame = frame_processor.run(None, frame_processor_inputs)[0][0]
 	crop_frame = normalize_crop_frame(crop_frame)
 	temp_frame = paste_back(temp_frame, crop_frame, affine_matrix)
 	return temp_frame