Update app.py

app.py

@@ -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,
@@ -203,25 +203,25 @@ with gr.Blocks(css=css) as demo:
         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(