Update app.py

app.py

@@ -123,7 +123,7 @@ with gr.Blocks() as demo:
             max_steps = gr.Slider(label="Max Steps", minimum=50, maximum=200, value=200)
             learning_rate = gr.Slider(label="Learning Rate", minimum=0.01, maximum=0.5, value=0.02)
             optimization_steps = gr.Slider(label="Optimization Steps", minimum=1, maximum=10, value=1)
-            inverseproblem = gr.Checkbox(label="Apply mask on pixel space", value=False, info="Enables inverse problem formulation for inpainting by masking the RGB image itself. Hence, to avoid artifacts we increase the mask size manually during inference.")
+            inverseproblem = gr.Checkbox(label="Apply mask on pixel space (does not work well with HF ZeroGPU)", value=False, info="Enables inverse problem formulation for inpainting by masking the RGB image itself. Hence, to avoid artifacts we increase the mask size manually during inference.")
             mask_input = gr.Image(
                 type="pil",
                 label="Optional Mask",
@@ -268,7 +268,7 @@ with gr.Blocks() as demo:
                 200,  # max_steps
                 0.02,  # learning_rate
                 10,  # optimization_steps
-                True,
+                False,
             ],
             [
                 "./saved_results/20241129_212052/input.png",  # image with mask
@@ -281,7 +281,7 @@ with gr.Blocks() as demo:
                 200,  # max_steps
                 0.02,  # learning_rate
                 10,  # optimization_steps
-                True,
+                False,
             ],
             [
                 "./saved_results/20241129_212155/input.png",  # image with mask
@@ -294,7 +294,7 @@ with gr.Blocks() as demo:
                 200,  # max_steps
                 0.02,  # learning_rate
                 10,  # optimization_steps
-                True,
+                False,
             ],
         ],
         inputs=[