diff --git a/refacer.py b/refacer.py
index 9ae0d36..5be6d70 100644
--- a/refacer.py
+++ b/refacer.py
@@ -61,7 +61,7 @@ class Refacer:
             print(f"CoreML mode with providers {self.providers}")
         elif 'CUDAExecutionProvider' in self.providers:
             self.mode = RefacerMode.CUDA
-            self.use_num_cpus = 1
+            self.use_num_cpus = 2
             self.sess_options.intra_op_num_threads = 1
             if 'TensorrtExecutionProvider' in self.providers:
                 self.providers.remove('TensorrtExecutionProvider')
@@ -149,21 +149,21 @@ class Refacer:
             ret.append(face)
         return ret
 
+    def process_first_face(self,frame):
+        faces = self.__get_faces(frame,max_num=1)
+        if len(faces) != 0:
+            frame = self.face_swapper.get(frame, faces[0], self.replacement_faces[0][1], paste_back=True)
+        return frame
+
     def process_faces(self,frame):
-        max_num=0
-        if self.first_face:
-            max_num=1
-        
-        faces = self.__get_faces(frame,max_num=max_num)
-        for face in faces:
-            if self.first_face:
-                frame = self.face_swapper.get(frame, face, self.replacement_faces[0][1], paste_back=True)
-                break
-            else:
-                for rep_face in self.replacement_faces:
-                    sim = self.rec_app.compute_sim(rep_face[0], face.embedding)
-                    if sim>=rep_face[2]:
-                        frame = self.face_swapper.get(frame, face, rep_face[1], paste_back=True)
+        faces = self.__get_faces(frame,max_num=0)
+        for rep_face in self.replacement_faces:
+            for i in range(len(faces) - 1, -1, -1):
+                sim = self.rec_app.compute_sim(rep_face[0], faces[i].embedding)
+                if sim>=rep_face[2]:
+                    frame = self.face_swapper.get(frame, faces[i], rep_face[1], paste_back=True)
+                    del faces[i]
+                    break
         return frame
 
     def __check_video_has_audio(self,video_path):
@@ -175,7 +175,10 @@ class Refacer:
         
     def reface_group(self, faces, frames, output):
         with ThreadPoolExecutor(max_workers = self.use_num_cpus) as executor:
-            results = list(tqdm(executor.map(self.process_faces, frames), total=len(frames),desc="Processing frames"))
+            if self.first_face:
+                results = list(tqdm(executor.map(self.process_first_face, frames), total=len(frames),desc="Processing frames"))
+            else:
+                results = list(tqdm(executor.map(self.process_faces, frames), total=len(frames),desc="Processing frames"))
             for result in results:
                 output.write(result)