diff --git a/app/service/design/utils/synthesis_item.py b/app/service/design/utils/synthesis_item.py
index 7bedbe6..1b0c64f 100644
--- a/app/service/design/utils/synthesis_item.py
+++ b/app/service/design/utils/synthesis_item.py
@@ -65,8 +65,12 @@ def synthesis(data, size):
     try:
 
         all_mask_shape = (size[1], size[0])
-        top_outer_mask = np.zeros(all_mask_shape, dtype=np.uint8)
-        bottom_outer_mask = np.zeros(all_mask_shape, dtype=np.uint8)
+        body_mask = None
+        for d in data:
+            if d['name'] == 'body':
+                body_mask = d['image'].split()[3]
+        top_outer_mask = np.array(body_mask)
+        bottom_outer_mask = np.array(body_mask)
 
         top = True
         bottom = True
@@ -101,10 +105,10 @@ def synthesis(data, size):
                 if layer['name'] != "body":
                     test_image = Image.new('RGBA', size, (0, 0, 0, 0))
                     test_image.paste(layer['image'], (layer['position'][1], layer['position'][0]), layer['image'])
-                    # mask_data = np.where(all_mask > 0, 255, 0).astype(np.uint8)
-                    # mask_alpha = Image.fromarray(mask_data)
-                    # cropped_image = Image.composite(test_image, Image.new("RGBA", test_image.size, (255, 255, 255, 0)), mask_alpha)
-                    base_image.paste(test_image, (0, 0), test_image)
+                    mask_data = np.where(all_mask > 0, 255, 0).astype(np.uint8)
+                    mask_alpha = Image.fromarray(mask_data)
+                    cropped_image = Image.composite(test_image, Image.new("RGBA", test_image.size, (255, 255, 255, 0)), mask_alpha)
+                    base_image.paste(test_image, (0, 0), cropped_image)
                 else:
                     base_image.paste(layer['image'], (layer['position'][1], layer['position'][0]), layer['image'])