diff --git a/Rayko_Spline_Mask.py b/Rayko_Spline_Mask.py
index 567c31f..d171be6 100644
--- a/Rayko_Spline_Mask.py
+++ b/Rayko_Spline_Mask.py
@@ -39,20 +39,19 @@ class RaykoSplineMask:
         }
         return inputs
 
-    RETURN_TYPES = ("IMAGE", "MASK")
-    RETURN_NAMES = ("image", "mask")
+    RETURN_TYPES = ("IMAGE", "MASK", "INT", "INT")
+    RETURN_NAMES = ("image", "mask", "width", "height")
     FUNCTION = "create_mask"
     CATEGORY = "🦊 RaykoStudio"
-    OUTPUT_NODE = True
     DESCRIPTION = "A node for load image and creating a spline mask"
 
     def create_mask(self, image, coordinates="[]"):
         img_path = None
         img_tensor = None
-        
+
         if image and isinstance(image, str) and image.strip():
             input_dir = folder_paths.get_input_directory()
-            
+
             if "/" in image:
                 parts = image.split("/")
                 subfolder = parts[0]
@@ -60,10 +59,10 @@ class RaykoSplineMask:
                 full_path = os.path.join(input_dir, subfolder, filename)
             else:
                 full_path = os.path.join(input_dir, image)
-            
+
             if os.path.exists(full_path):
                 img_path = full_path
-                
+
             if img_path and os.path.exists(img_path):
                 try:
                     i = Image.open(img_path)
@@ -74,32 +73,37 @@ class RaykoSplineMask:
 
         if img_tensor is None:
             h, w = 512, 512
-            return (torch.zeros((1, h, w, 3)), torch.zeros((1, h, w)))
-        
+            return (
+                torch.zeros((1, h, w, 3)),
+                torch.zeros((1, h, w)),
+                int(w),
+                int(h),
+            )
+
         h, w = img_tensor.shape[1], img_tensor.shape[2]
-         
+
         mask_np = np.zeros((h, w), dtype=np.float32)
-        
+
         try:
             coords = json.loads(coordinates.replace("'", '"'))
-            
+
             if isinstance(coords, list) and len(coords) >= 3:
-                pts = [(max(0, min(int(float(p['x'])), w-1)), 
+                pts = [(max(0, min(int(float(p['x'])), w-1)),
                         max(0, min(int(float(p['y'])), h-1))) for p in coords]
-                
+
                 pil_mask = Image.new('L', (w, h), 0)
                 draw = ImageDraw.Draw(pil_mask)
                 draw.polygon(pts, fill=255)
                 mask_np = np.array(pil_mask).astype(np.float32) / 255.0
-                 
+
                 print(f"[SPLINE 🦊] Mask created with {len(pts)} points")
             else:
                 print(f"[SPLINE 🦊] Less than 3 points - empty mask")
         except Exception as e:
             print(f"[SPLINE 🦊] Error parsing coordinates: {e}")
-        
+
         mask_tensor = torch.from_numpy(mask_np).unsqueeze(0)
-        return (img_tensor, mask_tensor)
+        return (img_tensor, mask_tensor, int(w), int(h))
 
 if PromptServer is not None and web is not None:
     @PromptServer.instance.routes.get("/rayko/spline/images")
@@ -113,11 +117,11 @@ if PromptServer is not None and web is not None:
                         if file.lower().endswith(('.png', '.jpg', '.jpeg', '.webp', '.gif', '.bmp')):
                             rel_path = os.path.relpath(os.path.join(root, file), input_dir)
                             images.append(rel_path.replace('\\', '/'))
-            
+
             return web.json_response({"images": images})
         except Exception as e:
             print(f"[SPLINE 🦊] API Error getting images: {e}")
             return web.json_response({"images": []}, status=200)
 
 NODE_CLASS_MAPPINGS = {"RaykoSplineMask": RaykoSplineMask}
-NODE_DISPLAY_NAME_MAPPINGS = {"RaykoSplineMask": "🦊 RS Load Image"}
\ No newline at end of file
+NODE_DISPLAY_NAME_MAPPINGS = {"RaykoSplineMask": "🦊 RS Load Image"}