Update app.py

app.py

@@ -130,86 +130,81 @@ with gr.Blocks(css="style.css") as demo:
         elem_id="subtitle",
     )
     gr.DuplicateButton(
-            placeholder="Enter a negative prompt",
-            value=""
-        )
+        placeholder="Enter a negative prompt",
+        value=""
+    )
     aspect_ratio_selector = gr.Radio(
         label="Aspect Ratio",
         choices=config.aspect_ratios,
         value="1024 x 1024",
         container=True,
-
-        )
-        with gr.Group(visible=False) as custom_resolution:
-            with gr.Row():
-                custom_width = gr.Slider(
-                    label="Width",
-                    minimum=MIN_IMAGE_SIZE,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=8,
-                    value=1024,
-                )
-                custom_height = gr.Slider(
-                    label="Height",
-                    minimum=MIN_IMAGE_SIZE,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=8,
-                    value=1024,
-                )
-        use_upscaler = gr.Checkbox(label="Use Upscaler", value=False)
-        with gr.Row() as upscaler_row:
-            upscaler_strength = gr.Slider(
-                label="Strength",
-                minimum=0,
-                maximum=1,
-                step=0.05,
-                value=0.55,
-                visible=False,
+    )
+    with gr.Group(visible=False) as custom_resolution:
+        with gr.Row():
+            custom_width = gr.Slider(
+                label="Width",
+                minimum=MIN_IMAGE_SIZE,
+                maximum=MAX_IMAGE_SIZE,
+                step=8,
+                value=1024,
             )
-            upscale_by = gr.Slider(
-                label="Upscale by",
-                minimum=1,
-                maximum=1.5,
-                step=0.1,
-                value=1.5,
-                visible=False,
+            custom_height = gr.Slider(
+                label="Height",
+                minimum=MIN_IMAGE_SIZE,
+                maximum=MAX_IMAGE_SIZE,
+                step=8,
+                value=1024,
             )
+    use_upscaler = gr.Checkbox(label="Use Upscaler", value=False)
+    with gr.Row() as upscaler_row:
+        upscaler_strength = gr.Slider(
+            label="Strength",
+            minimum=0,
+            maximum=1,
+            step=0.05,
+            value=0.55,
+            visible=False,
+        )
+        upscale_by = gr.Slider(
+            label="Upscale by",
+            minimum=1,
+            maximum=1.5,
+            step=0.1,
+            value=1.5,
+            visible=False,
+        )
 
-        sampler = gr.Dropdown(
-            label="Sampler",
-            choices=config.sampler_list,
-            interactive=True,
-            value="DPM++ 2M SDE Karras",
+    sampler = gr.Dropdown(
+        label="Sampler",
+        choices=config.sampler_list,
+        interactive=True,
+        value="DPM++ 2M SDE Karras",
+    )
+    with gr.Row():
+        seed = gr.Slider(
+            label="Seed", minimum=0, maximum=utils.MAX_SEED, step=1, value=0
         )
+        randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+    with gr.Group():
         with gr.Row():
-            seed = gr.Slider(
-                label="Seed", minimum=0, maximum=utils.MAX_SEED, step=1, value=0
+            guidance_scale = gr.Slider(
+                label="Guidance scale",
+                minimum=1,
+                maximum=12,
+                step=0.1,
+                value=7.0,
+            )
+            num_inference_steps = gr.Slider(
+                label="Number of inference steps",
+                minimum=1,
+                maximum=100,
+                step=1,
+                value=28,
             )
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-        with gr.Group():
-            with gr.Row():
-                guidance_scale = gr.Slider(
-                    label="Guidance scale",
-                    minimum=1,
-                    maximum=12,
-                    step=0.1,
-                    value=7.0,
-                )
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=100,
-                    step=1,
-                    value=28,
-                )
     with gr.Accordion(label="Generation Parameters", open=False):
         gr_metadata = gr.JSON(label="Metadata", show_label=False)
     gr.Examples(
         examples=config.examples,
-
-
-
-
         inputs=prompt,
         outputs=[result, gr_metadata],
         fn=lambda *args, **kwargs: generate(*args, use_upscaler=True, **kwargs),
@@ -280,4 +275,4 @@ with gr.Blocks(css="style.css") as demo:
         api_name=False,
     )
 
-demo.queue(max_size=20).launch(debug=IS_COLAB, share=IS_COLAB, show_error=True)
+demo.queue(max_size=20).launch(debug=IS_COLAB, share=IS_COLAB, show_error=True)