Update

app_image_to_3d.py

@@ -28,14 +28,14 @@ def create_demo(model: Model) -> gr.Blocks:
         return model.run_image(image_path)
 
     @spaces.GPU
-    def run(image: PIL.Image.Image, seed: int, guidance_scale: float, num_inference_steps: int) -> str:
+    def run(image: PIL.Image.Image, seed: int, guidance_scale: float = 3.0, num_inference_steps: int = 64) -> str:
         """Generate a 3D model from an image.
 
         Args:
             image (PIL.Image.Image): The input image.
             seed (int): The seed for the random number generator.
-            guidance_scale (float): The guidance scale for the model.
-            num_inference_steps (int): The number of inference steps for the model.
+            guidance_scale (float): The guidance scale for the model. Defaults to 3.0.
+            num_inference_steps (int): The number of inference steps for the model. Defaults to 64.
 
         Returns:
             str: The path to the 3D model.

app_text_to_3d.py

@@ -26,14 +26,14 @@ def create_demo(model: Model) -> gr.Blocks:
         return model.run_text(prompt)
 
     @spaces.GPU
-    def run(prompt: str, seed: int, guidance_scale: float, num_inference_steps: int) -> str:
+    def run(prompt: str, seed: int, guidance_scale: float = 15.0, num_inference_steps: int = 64) -> str:
         """Generate a 3D model from a text prompt.
 
         Args:
             prompt (str): The text prompt.
             seed (int): The seed for the random number generator.
-            guidance_scale (float): The guidance scale for the model.
-            num_inference_steps (int): The number of inference steps for the model.
+            guidance_scale (float): The guidance scale for the model. Defaults to 15.0.
+            num_inference_steps (int): The number of inference steps for the model. Defaults to 64.
 
         Returns:
             str: The path to the 3D model.