Reduce requested runtime.

app.py

@@ -30,14 +30,12 @@ DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu'
 model_configs = {
     'vits': {'encoder': 'vits', 'features': 64, 'out_channels': [48, 96, 192, 384]},
     'vitb': {'encoder': 'vitb', 'features': 128, 'out_channels': [96, 192, 384, 768]},
-    'vitl': {'encoder': 'vitl', 'features': 256, 'out_channels': [256, 512, 1024, 1024]},
-    'vitg': {'encoder': 'vitg', 'features': 384, 'out_channels': [1536, 1536, 1536, 1536]}
+    'vitl': {'encoder': 'vitl', 'features': 256, 'out_channels': [256, 512, 1024, 1024]}
 }
 encoder2name = {
     'vits': 'Small',
     'vitb': 'Base',
-    'vitl': 'Large',
-    'vitg': 'Giant', # we are undergoing company review procedures to release our giant model checkpoint
+    'vitl': 'Large'
 }
 encoder = 'vitb'
 model_name = encoder2name[encoder]
@@ -51,7 +49,7 @@ title = "# Depth Anything V2"
 description = """This is a slow alternative endpoint for **Depth Anything V2**, which is not mine.
 Please refer to the official [project page](https://depth-anything-v2.github.io), and [github](https://github.com/DepthAnything/Depth-Anything-V2) for more details."""
 
-@spaces.GPU
+@spaces.GPU(duration=6)
 def predict_depth(image):
     return model.infer_image(image)