diff --git a/applications/wyw2s_local_app.py b/applications/wyw2s_local_app.py
index 91bd029a20b6a5f3d5f409af9b35c2543b17340a..3649e19f721bd00be1283fae3055ae0f06ebce61 100644
--- a/applications/wyw2s_local_app.py
+++ b/applications/wyw2s_local_app.py
@@ -60,7 +60,7 @@ def main_wyw2s(video_path,cfg_file):
         facebank_path = config["facebank_path"],
         threshold = float(config["face_verify_threshold"]))
 
-    face_multitask_model = FaceMuitiTask_Model(model_path = config["face_multitask_model_path"])
+    face_multitask_model = FaceMuitiTask_Model(model_path = config["face_multitask_model_path"], model_arch = config["face_multitask_model_arch"])
 
     face_euler_model = FaceAngle_Model(model_path = config["face_euler_model_path"])
 
diff --git a/components/face_multi_task/face_multi_task_component.py b/components/face_multi_task/face_multi_task_component.py
index 0d2b655d389128f41a9537b8fd4e024468ae60cd..141b1d187a5be2d8aef9c874f891d0a45cb2d930 100644
--- a/components/face_multi_task/face_multi_task_component.py
+++ b/components/face_multi_task/face_multi_task_component.py
@@ -8,7 +8,7 @@ import torch
 import cv2
 import torch.nn.functional as F
 
-from face_multi_task.network.resnet import resnet50
+from face_multi_task.network.resnet import resnet50,resnet34,resnet18
 from face_multi_task.utils.common_utils import *
 
 import numpy as np
@@ -17,6 +17,7 @@ class FaceMuitiTask_Model(object):
         model_path = './components/face_multi_task/weights_multask/resnet_50_imgsize-256-20210411.pth',
         img_size=256,
         num_classes = 196,# 人脸关键点，年龄，性别
+        model_arch = "resnet50",# 模型结构
         ):
 
         use_cuda = torch.cuda.is_available()
@@ -24,7 +25,13 @@ class FaceMuitiTask_Model(object):
         self.device = torch.device("cuda:0" if use_cuda else "cpu") # 可选的设备类型及序号
         self.img_size = img_size
         #-----------------------------------------------------------------------
-        face_multi_model = resnet50(landmarks_num=num_classes, img_size=img_size)
+        if model_arch == "resnet50":
+            face_multi_model = resnet50(landmarks_num=num_classes, img_size=img_size)
+        elif model_arch == "resnet34":
+            face_multi_model = resnet34(landmarks_num=num_classes, img_size=img_size)
+        elif model_arch == "resnet18":
+            face_multi_model = resnet18(landmarks_num=num_classes, img_size=img_size)
+
         chkpt = torch.load(model_path, map_location=lambda storage, loc: storage)
         face_multi_model.load_state_dict(chkpt)
         face_multi_model.eval()
diff --git a/lib/wyw2s_lib/cfg/wyw2s.cfg b/lib/wyw2s_lib/cfg/wyw2s.cfg
index ce7b5ef6c7c91959cc0055d698607f0f1ff6f326..1615eaf21d172043f8cde441e7d6b967c5aa67b9 100644
--- a/lib/wyw2s_lib/cfg/wyw2s.cfg
+++ b/lib/wyw2s_lib/cfg/wyw2s.cfg
@@ -11,6 +11,10 @@ face_verify_backbone_path=./wyw2s_models/face_verify-model_ir_se-50.pth
 facebank_path=./wyw2s_models/facebank
 face_verify_threshold=1.2
 
-face_multitask_model_path=./wyw2s_models/face_multitask-resnet_50_imgsize-256-20210411.pth
+#face_multitask_model_path=./wyw2s_models/face_multitask-resnet_50_imgsize-256-20210411.pth
+#face_multitask_model_arch=resnet50
+
+face_multitask_model_path=./wyw2s_models/face_multitask-resnet_34_imgsize-256-20210423.pth
+face_multitask_model_arch=resnet34
 
 face_euler_model_path=./wyw2s_models/euler_angle-resnet_18_imgsize_256.pth