diff --git a/human/audio_inference_handler.py b/human/audio_inference_handler.py
index 30e430b..99a0af1 100644
--- a/human/audio_inference_handler.py
+++ b/human/audio_inference_handler.py
@@ -59,7 +59,7 @@ class AudioInferenceHandler(AudioHandler):
         super().on_message(message)
 
     def __on_run(self):
-        wav2lip_path = os.path.join(current_file_path, '..', 'checkpoints', 'wav2lip_gan.pth')
+        wav2lip_path = os.path.join(current_file_path, '..', 'checkpoints', 'wav2lip.pth')
         logger.info(f'AudioInferenceHandler init, path:{wav2lip_path}')
         model = load_model(wav2lip_path)
         logger.info("Model loaded")
diff --git a/human/human_context.py b/human/human_context.py
index 75a6df2..4e0ee0f 100644
--- a/human/human_context.py
+++ b/human/human_context.py
@@ -37,9 +37,9 @@ class HumanContext:
         print(f'device:{self._device}')
         base_path = os.path.join(current_file_path, '..')
         logger.info(f'base path:{base_path}')
-        # full_images, face_frames, coord_frames = load_avatar(base_path, self._image_size, self._device)
-        full_images, face_frames, coord_frames = load_avatar_from_processed(base_path,
-                                                                            'wav2lip_avatar1')
+        full_images, face_frames, coord_frames = load_avatar(base_path, self._image_size, self._device)
+        # full_images, face_frames, coord_frames = load_avatar_from_processed(base_path,
+        #                                                                     'wav2lip_avatar1')
         self._frame_list_cycle = full_images
         self._face_list_cycle = face_frames
         self._coord_list_cycle = coord_frames
diff --git a/utils/utils.py b/utils/utils.py
index 8968245..0a64429 100644
--- a/utils/utils.py
+++ b/utils/utils.py
@@ -170,7 +170,7 @@ def load_model(path):
 
 def load_avatar(path, img_size, device):
     print(f'load avatar:{path}')
-    face_images_path = path
+    face_images_path = os.path.join(path, 'face')
     face_images_path = read_files_path(face_images_path)
     full_list_cycle = read_images(face_images_path)