add

app.py

@@ -129,7 +129,7 @@ def load_models():
     
     return pipeline, model, infer_config
 
-@spaces.GPU(duration=60)
+@spaces.GPU(duration=20)
 def process_images(input_images, prompt, steps=75, guidance_scale=7.5, pipeline=None):
     """Process input images and run refinement"""
     device = pipeline.device
@@ -199,7 +199,7 @@ def process_images(input_images, prompt, steps=75, guidance_scale=7.5, pipeline=
     
     return output, input_image
 
-@spaces.GPU(duration=60)
+@spaces.GPU(duration=20)
 def create_mesh(refined_image, model, infer_config):
     """Generate mesh from refined image"""
     # Convert PIL image to tensor
@@ -479,7 +479,7 @@ def create_demo():
             )
 
         # Set up event handlers
-        @spaces.GPU(duration=120)  # Increased duration to 120 seconds
+        @spaces.GPU(duration=20)  # Reduced duration to 20 seconds
         def generate(prompt, guidance_scale, num_steps):
             try:
                 torch.cuda.empty_cache()  # Clear GPU memory before starting
@@ -492,7 +492,7 @@ def create_demo():
                 print(error_msg)
                 return None, error_msg
 
-        @spaces.GPU(duration=120)  # Increased duration to 120 seconds
+        @spaces.GPU(duration=20)  # Reduced duration to 20 seconds
         def refine(input_image, prompt, steps, guidance_scale):
             try:
                 torch.cuda.empty_cache()  # Clear GPU memory before starting