Update app.py

app.py

@@ -117,7 +117,7 @@ def get_random_hex():
     random_hex = random_bytes.hex()
     return random_hex
 
-@spaces.GPU(duration=5)
+@spaces.GPU(duration=3)
 def run_full(image: str, seed: int = 0, num_inference_steps: int = 50, guidance_scale: float = 7.5, simplify: bool = True, target_face_num: int = DEFAULT_FACE_NUMBER, req=None):
     try:
         image_seg = prepare_image(image, bg_color=np.array([1.0, 1.0, 1.0]), rmbg_net=rmbg_net)
@@ -337,7 +337,7 @@ def run_segmentation(image):
         logger.error(f"Error in run_segmentation: {str(e)}")
         raise
 
-@spaces.GPU(duration=5)
+@spaces.GPU(duration=3)
 @torch.no_grad()
 def image_to_3d(
     image,  # Changed to accept FileData dict or PIL Image
@@ -391,7 +391,7 @@ def image_to_3d(
         logger.error(f"Error in image_to_3d: {str(e)}")
         raise
 
-@spaces.GPU(duration=5)
+@spaces.GPU(duration=3)
 @torch.no_grad()
 def run_texture(image: Image, mesh_path: str, seed: int, req: gr.Request):
     try:
@@ -485,7 +485,7 @@ def run_texture(image: Image, mesh_path: str, seed: int, req: gr.Request):
         logger.error(f"Error in run_texture: {str(e)}")
         raise
 
-@spaces.GPU(duration=5)
+@spaces.GPU(duration=3)
 @torch.no_grad()
 def run_full_api(image, seed: int = 0, num_inference_steps: int = 50, guidance_scale: float = 7.5, simplify: bool = True, target_face_num: int = DEFAULT_FACE_NUMBER, req: gr.Request = None):
     try: