update normalize_multiimages

app.py

@@ -62,13 +62,19 @@ def preprocess_images(images: List[Tuple[Image.Image, str]]) -> List[Image.Image
     return processed_images
 
 def preprocess_upload_images(file_list: List[Any]) -> List[Tuple[Image.Image, str]]:
-    """
-    Resize all input images to 518x518 and return (image, filename) pairs.
-    """
-    images = [
-        (Image.open(f.name).convert("RGBA").resize((518, 518), Image.Resampling.LANCZOS), f.name)
-        for f in file_list
-    ]
+    images = []
+    for f in file_list:
+        if isinstance(f, dict):
+            path = f.get("path") or f.get("name")
+            filename = os.path.basename(path)
+        else:                      # UploadedFile / FileData
+            path = f.name
+            filename = os.path.basename(path)
+
+        img = Image.open(path).convert("RGBA").resize(
+            (518, 518), Image.Resampling.LANCZOS
+        )
+        images.append((img, filename))
     return images
 
 
@@ -173,7 +179,6 @@ def image_to_3d(
     os.makedirs(user_dir, exist_ok=True)
     is_multiimage = is_multiimage.lower() == "true"
 
-    multiimages = normalize_multiimages(multiimages)
 
     # Run pipeline depending on mode
     if not is_multiimage:
@@ -192,7 +197,11 @@ def image_to_3d(
             },
         )
     else:
+        multiimages = normalize_multiimages(multiimages)
+        if is_multiimage and len(multiimages) == 0:
+            raise gr.Error("Multiple Images mode need at least 1 pic,please upload then click Generate。")
         pil_images = [img for img, _ in multiimages]
+        assert all(isinstance(im, Image.Image) for im in pil_imgs),
         outputs = pipeline.run_multi_image(
             pil_images,
             seed=seed,
@@ -531,7 +540,7 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
     #     outputs=[multiimage_prompt],
     # )
     multiimage_prompt.upload(
-        fn=preprocess_images, 
+        fn=lambda imgs: imgs,
         inputs=[multiimage_prompt],
         outputs=[multiimage_combined],
     )