diff --git a/app/service/design_fast/pipeline/segmentation.py b/app/service/design_fast/pipeline/segmentation.py
index bdf75a0..ebdb6c6 100644
--- a/app/service/design_fast/pipeline/segmentation.py
+++ b/app/service/design_fast/pipeline/segmentation.py
@@ -47,6 +47,7 @@ class Segmentation:
                 # 本地查询seg 缓存是否存在
                 _, seg_result = self.load_seg_result(result["image_id"])
                 # 判断缓存和实际图片size是否相同
+                _ = False
                 if not _ or result["image"].shape[:2] != seg_result.shape:
                     # 推理获得seg 结果
                     seg_result = get_seg_result(result['image'])
diff --git a/app/service/design_fast/utils/synthesis_item.py b/app/service/design_fast/utils/synthesis_item.py
index ff44157..8b7e55e 100644
--- a/app/service/design_fast/utils/synthesis_item.py
+++ b/app/service/design_fast/utils/synthesis_item.py
@@ -347,7 +347,8 @@ def transpose_rotate(layer, image):
 
     rotate = layer.get('rotate', 0)
     paste_x, paste_y = layer['adaptive_position'][1], layer['adaptive_position'][0]
-
+    original_w = image.width
+    original_h = image.height
     # transpose左右是1 上下是-1
     if transpose[0] != 1:
         # 左右
@@ -361,8 +362,8 @@ def transpose_rotate(layer, image):
         image = image.rotate(-rotate, expand=True)
         # 4. 计算粘贴位置以保持视觉中心一致
         # 原本 (15, 36) 是 288*288 的左上角，我们计算其中心点
-        target_center_x = 15 + 288 // 2
-        target_center_y = 36 + 288 // 2
+        target_center_x = paste_x + original_w // 2
+        target_center_y = paste_y + original_h // 2
 
         # 获取旋转后图像的新尺寸
         new_w, new_h = image.size