Update app.py

app.py

@@ -130,7 +130,6 @@ def get_seed(randomize_seed: bool, seed: int) -> int:
 def generate_and_extract_glb(
     image: Image.Image,
     multiimages: List[Tuple[Image.Image, str]],
-    is_multiimage: bool,
     seed: int,
     ss_guidance_strength: float,
     ss_sampling_steps: int,
@@ -146,7 +145,7 @@ def generate_and_extract_glb(
     The GLB filename matches the input image filename (or first image if multi-image).
     """
     # Derive base filename from the first image in the batch
-    if not is_multiimage:
+    if image:
         base_filename = getattr(image, "filename", None) or "generated_model"
     else:
         # Use the first uploaded image filename if available
@@ -158,12 +157,12 @@ def generate_and_extract_glb(
     glb_path = os.path.join(CUSTOM_SAVE_DIR, glb_filename)
 
     # Generate 3D model
-    if not is_multiimage:
+    if image:
         outputs = pipeline.run(
             image,
             seed=seed,
             formats=["gaussian", "mesh"],
-            preprocess_image=False,
+            preprocess_image=True,
             sparse_structure_sampler_params={
                 "steps": ss_sampling_steps,
                 "cfg_strength": ss_guidance_strength,
@@ -178,7 +177,7 @@ def generate_and_extract_glb(
             [img[0] for img in multiimages],
             seed=seed,
             formats=["gaussian", "mesh"],
-            preprocess_image=False,
+            preprocess_image=True,
             sparse_structure_sampler_params={
                 "steps": ss_sampling_steps,
                 "cfg_strength": ss_guidance_strength,