update

app.py

@@ -58,8 +58,7 @@ Code: <a href='https://github.com/hyz317/StdGEN' target='_blank'>GitHub</a>. Pap
 ❗️❗️❗️**Important Notes:**
 1. Refinement stage takes about ~3min, please be patient.
 
-2. - You can upload any reference image (with or without background). A-pose images are also supported (white bkg required).
-   - If the image has an alpha channel (transparency), background segmentation will be automatically performed. Alternatively, you can pre-segment the background using other tools and upload the result directly.  
+2. You can upload any reference image (with or without background), A-pose images are also supported (white bkg required). If the image has an alpha channel (transparency), background segmentation will be automatically performed. Alternatively, you can pre-segment the background using other tools and upload the result directly.  
 
 3. Real person images generally work well, but note that normals may appear smoother than expected. You can try to use other monocular normal estimation models.
 

infer_api.py

@@ -528,7 +528,7 @@ infer_refine_generator = SamAutomaticMaskGenerator(
 )
 infer_refine_outside_ratio = 0.20
 
-@spaces.GPU(duration=240)
+@spaces.GPU(duration=120)
 def infer_refine(meshes, imgs):
     fixed_v, fixed_f, fixed_t = None, None, None
     flow_vert, flow_vector = None, None
@@ -790,7 +790,7 @@ def process_im(im):
 
 all_results = {}
 
-@spaces.GPU
+@spaces.GPU(duration=180)
 def infer_multiview_gen(img, seed, num_levels):
     set_seed(seed)
     data = {}