Update app.py

app.py

@@ -81,7 +81,7 @@ def process_input(input_image, upscale_factor, **kwargs):
     return input_image.resize((w, h)), w_original, h_original, was_resized
 
 
-@spaces.GPU(duration=75)
+@spaces.GPU(duration=42)
 def infer(
     seed,
     randomize_seed,
@@ -184,11 +184,11 @@ with gr.Blocks(css=css) as demo:
     examples = gr.Examples(
         examples=[
             [42, False, "examples/image_1.jpg", 28, 4, 0.6],
-            #[42, False, "examples/image_2.jpg", 28, 4, 0.6],
+            [42, False, "examples/image_2.jpg", 28, 4, 0.6],
             [42, False, "examples/image_3.jpg", 28, 4, 0.6],
             [42, False, "examples/image_4.jpg", 28, 4, 0.6],
-            #[42, False, "examples/image_5.jpg", 28, 4, 0.6],
-            #[42, False, "examples/image_6.jpg", 28, 4, 0.6],
+            [42, False, "examples/image_5.jpg", 28, 4, 0.6],
+            [42, False, "examples/image_6.jpg", 28, 4, 0.6],
         ],
         inputs=[
             seed,
@@ -200,28 +200,28 @@ with gr.Blocks(css=css) as demo:
         ],
         fn=infer,
         outputs=result,
-        cache_examples=True,
+        cache_examples="lazy",
     )
 
-    examples = gr.Examples(
-        examples=[
-            #[42, False, "examples/image_1.jpg", 28, 4, 0.6],
-            [42, False, "examples/image_2.jpg", 28, 4, 0.6],
-            #[42, False, "examples/image_3.jpg", 28, 4, 0.6],
-            #[42, False, "examples/image_4.jpg", 28, 4, 0.6],
-            [42, False, "examples/image_5.jpg", 28, 4, 0.6],
-            [42, False, "examples/image_6.jpg", 28, 4, 0.6],
-            [42, False, "examples/image_7.jpg", 28, 4, 0.6],
-        ],
-        inputs=[
-            seed,
-            randomize_seed,
-            input_im,
-            num_inference_steps,
-            upscale_factor,
-            controlnet_conditioning_scale,
-        ],
-    )
+    # examples = gr.Examples(
+    #     examples=[
+    #         #[42, False, "examples/image_1.jpg", 28, 4, 0.6],
+    #         [42, False, "examples/image_2.jpg", 28, 4, 0.6],
+    #         #[42, False, "examples/image_3.jpg", 28, 4, 0.6],
+    #         #[42, False, "examples/image_4.jpg", 28, 4, 0.6],
+    #         [42, False, "examples/image_5.jpg", 28, 4, 0.6],
+    #         [42, False, "examples/image_6.jpg", 28, 4, 0.6],
+    #         [42, False, "examples/image_7.jpg", 28, 4, 0.6],
+    #     ],
+    #     inputs=[
+    #         seed,
+    #         randomize_seed,
+    #         input_im,
+    #         num_inference_steps,
+    #         upscale_factor,
+    #         controlnet_conditioning_scale,
+    #     ],
+    # )
 
     gr.Markdown("**Disclaimer:**")
     gr.Markdown(