diff --git a/app/core/config.py b/app/core/config.py
index 35c12b7..5909a3a 100644
--- a/app/core/config.py
+++ b/app/core/config.py
@@ -93,9 +93,6 @@ OPENAI_MODEL_LIST = {"gpt-3.5-turbo-0613",
                      "gpt-4-0613",
                      "gpt-4-32k-0613", }
 
-# attribute service config
-ATT_TRITON_URL = "10.1.1.240:10000"
-
 # SR service config
 SR_MODEL_NAME = "super_resolution"
 SR_TRITON_URL = "10.1.1.240:10031"
@@ -132,7 +129,6 @@ GRI_MODEL_NAME_SINGLE = 'stable_diffusion_1_5_relight'
 GRI_MODEL_URL = '10.1.1.240:10051'
 
 # SEG service config
-SEG_MODEL_URL = '10.1.1.240:10000'
 SEGMENTATION = {
     "new_model_name": "seg_knet",
     "name": "seg_ocrnet_hr18",
@@ -141,7 +137,7 @@ SEGMENTATION = {
 }
 
 # DESIGN config
-DESIGN_MODEL_URL = '10.1.1.240:10000'
+DESIGN_MODEL_URL = '10.1.1.243:10000'
 AIDA_CLOTHING = "aida-clothing"
 KEYPOINT_RESULT_TABLE_FIELD_SET = ('neckline_left', 'neckline_right', 'shoulder_left', 'shoulder_right', 'armpit_left', 'armpit_right',
                                    'cuff_left_in', 'cuff_left_out', 'cuff_right_in', 'cuff_right_out', 'waistband_left', 'waistband_right')
diff --git a/app/service/attribute/service_att_recognition.py b/app/service/attribute/service_att_recognition.py
index 1251891..f93146e 100644
--- a/app/service/attribute/service_att_recognition.py
+++ b/app/service/attribute/service_att_recognition.py
@@ -28,7 +28,7 @@ class AttributeRecognition:
                 }
             )
         self.const = const
-        self.triton_client = httpclient.InferenceServerClient(url=f"{ATT_TRITON_URL}")
+        self.triton_client = httpclient.InferenceServerClient(url=f"{DESIGN_MODEL_URL}")
 
     def get_result(self):
         for sketch in self.request_data:
diff --git a/app/service/attribute/service_category_recognition.py b/app/service/attribute/service_category_recognition.py
index f917af2..7c277c9 100644
--- a/app/service/attribute/service_category_recognition.py
+++ b/app/service/attribute/service_category_recognition.py
@@ -26,7 +26,7 @@ class CategoryRecognition:
         self.attr_type = pd.read_csv(CATEGORY_PATH)
         # self.minio_client = Minio(MINIO_URL, access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
         self.request_data = []
-        self.triton_client = httpclient.InferenceServerClient(url=ATT_TRITON_URL)
+        self.triton_client = httpclient.InferenceServerClient(url=DESIGN_MODEL_URL)
         for sketch in request_data:
             self.request_data.append(
                 {
diff --git a/app/service/generate_image/utils/image_processing.py b/app/service/generate_image/utils/image_processing.py
index af36188..02d8bee 100644
--- a/app/service/generate_image/utils/image_processing.py
+++ b/app/service/generate_image/utils/image_processing.py
@@ -81,7 +81,7 @@ def get_contours(image):
 
 def seg_infer_image(image_obj):
     image, ori_shape = seg_preprocess(image_obj)
-    client = httpclient.InferenceServerClient(url=f"{SEG_MODEL_URL}")
+    client = httpclient.InferenceServerClient(url=f"{DESIGN_MODEL_URL}")
     transformed_img = image.astype(np.float32)
     # 输入集
     inputs = [
@@ -250,7 +250,7 @@ def generate_category_recognition(image, gender):
         return preprocessed_img
 
     preprocessed_img = preprocess(image)
-    triton_client = httpclient.InferenceServerClient(url=ATT_TRITON_URL)
+    triton_client = httpclient.InferenceServerClient(url=DESIGN_MODEL_URL)
 
     inputs = [
         httpclient.InferInput("input__0", preprocessed_img.shape, datatype="FP32")