Update gradio_app.py

gradio_app.py

@@ -167,8 +167,12 @@ def forward_model(batch, system, guidance_scale=3.0, seed=0, device="cuda"):
     
     return pc_cond
 
-def generate_and_process_3d(prompt: str, seed: int = 42, width: int = 1024, height: int = 1024) -> tuple[str | None, Image.Image | None]:
+def generate_and_process_3d(prompt: str, seed: int = 42) -> tuple[str | None, Image.Image | None]:
     """Generate image from prompt and convert to 3D model."""
+
+    width: int = 1024
+    height: int = 1024
+    
     try:
         # Set random seeds
         torch.manual_seed(seed)
@@ -231,7 +235,7 @@ def generate_and_process_3d(prompt: str, seed: int = 42, width: int = 1024, heig
             with torch.autocast(device_type='cuda' if torch.cuda.is_available() else 'cpu', dtype=torch.bfloat16):
                 trimesh_mesh, _ = spar3d_model.generate_mesh(
                     batch,
-                    1024,  # texture_resolution
+                    2048,  # texture_resolution
                     remesh="none",
                     vertex_count=-1,
                     estimate_illumination=True
@@ -268,20 +272,6 @@ demo = gr.Interface(
             maximum=np.iinfo(np.int32).max,
             step=1,
             value=42
-        ),
-        gr.Slider(
-            label="Width",
-            minimum=256,
-            maximum=2048,
-            step=32,
-            value=1024
-        ),
-        gr.Slider(
-            label="Height",
-            minimum=256,
-            maximum=2048,
-            step=32,
-            value=1024
         )
     ],
     outputs=[