Update app.py

app.py

@@ -237,7 +237,7 @@ class RetroArtConverter:
     def get_depth_map(self, image):
         """Generate depth map using Zoe Depth"""
         if self.zoe_depth is not None:
-            # --- FIX ---
+            # --- FIX: Pass correct dimensions ---
             # Get the size from the PIL image
             w, h = image.size 
             
@@ -245,7 +245,8 @@ class RetroArtConverter:
             w_int, h_int = int(w), int(h)
             
             # Pass the image's own size as tuples to prevent
-            # controlnet_aux from resizing to a square.
+            # controlnet_aux from resizing to a square and to fix TypeError.
+            print(f"  Generating Zoe depth map at {w_int}x{h_int} resolution...")
             depth_image = self.zoe_depth(
                 image, 
                 detect_resolution=(w_int, h_int), 
@@ -258,7 +259,7 @@ class RetroArtConverter:
             gray = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2GRAY)
             depth_colored = cv2.cvtColor(gray, cv2.COLOR_GRAY2RGB)
             return Image.fromarray(depth_colored)
-            
+    
     def calculate_optimal_size(self, original_width, original_height):
         """Calculate optimal size from recommended resolutions"""
         aspect_ratio = original_width / original_height
@@ -317,13 +318,26 @@ class RetroArtConverter:
         original_width, original_height = input_image.size
         target_width, target_height = self.calculate_optimal_size(original_width, original_height)
         
+        # --- FIX: Cast to int() to prevent numpy.int64 errors ---
+        target_width = int(target_width)
+        target_height = int(target_height)
+        
         print(f"Resizing from {original_width}x{original_height} to {target_width}x{target_height}")
+        print(f"Prompt: {prompt}")
+        print(f"Img2Img Strength: {strength}")
+
+        # --- FIX: CORRECT ORDER ---
+        # 1. Create resized_image FIRST...
+        resized_image = input_image.resize((target_width, target_height), Image.LANCZOS)
         
-        # Generate depth map using Zoe
+        # 2. ...THEN pass it to get_depth_map.
         print("Generating Zoe depth map...")
         depth_image = self.get_depth_map(resized_image)
+        # --- END FIX ---
+        
         if depth_image.size != (target_width, target_height):
-            depth_image = depth_image.resize((int(target_width), int(target_height)), Image.LANCZOS)
+            print(f"Warning: Depth map size {depth_image.size} does not match target {target_width}x{target_height}. Resizing...")
+            depth_image = depth_image.resize((target_width, target_height), Image.LANCZOS)
         
         # Handle face detection for InstantID
         using_multiple_controlnets = self.using_multiple_controlnets