Modified UI for Gradio

app.py

@@ -56,81 +56,81 @@ with gr.Blocks(css=css) as demo:
         
         with gr.Row():
             
-            prompt = gr.Text(
-                label="Prompt: (wont use)",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
-                container=False,
-            )
+            num_inference_steps = gr.Slider(
+                    label="Number of inference steps",
+                    minimum=1,
+                    maximum=20,
+                    step=1,
+                    value=6,
+                )
             
             run_button = gr.Button("Run", scale=0)
         
         result = gr.Image(label="Result", show_label=False)
 
-        with gr.Accordion("Advanced Settings", open=False):
+        # with gr.Accordion("Advanced Settings", open=False):
             
-            negative_prompt = gr.Text(
-                label="Negative prompt",
-                max_lines=1,
-                placeholder="Enter a negative prompt",
-                visible=False,
-            )
+        #     negative_prompt = gr.Text(
+        #         label="Negative prompt",
+        #         max_lines=1,
+        #         placeholder="Enter a negative prompt",
+        #         visible=False,
+        #     )
             
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
-            )
+        #     seed = gr.Slider(
+        #         label="Seed",
+        #         minimum=0,
+        #         maximum=MAX_SEED,
+        #         step=1,
+        #         value=0,
+        #     )
             
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+        #     randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
             
-            with gr.Row():
+        #     with gr.Row():
                 
-                width = gr.Slider(
-                    label="Width",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=512,
-                )
+        #         width = gr.Slider(
+        #             label="Width",
+        #             minimum=256,
+        #             maximum=MAX_IMAGE_SIZE,
+        #             step=32,
+        #             value=512,
+        #         )
                 
-                height = gr.Slider(
-                    label="Height",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=512,
-                )
+        #         height = gr.Slider(
+        #             label="Height",
+        #             minimum=256,
+        #             maximum=MAX_IMAGE_SIZE,
+        #             step=32,
+        #             value=512,
+        #         )
             
-            with gr.Row():
+        #     with gr.Row():
                 
-                guidance_scale = gr.Slider(
-                    label="Guidance scale",
-                    minimum=0.0,
-                    maximum=10.0,
-                    step=0.1,
-                    value=0.0,
-                )
+        #         guidance_scale = gr.Slider(
+        #             label="Guidance scale",
+        #             minimum=0.0,
+        #             maximum=10.0,
+        #             step=0.1,
+        #             value=0.0,
+        #         )
                 
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=120,
-                    step=1,
-                    value=2,
-                )
+        #         num_inference_steps = gr.Slider(
+        #             label="Number of inference steps",
+        #             minimum=1,
+        #             maximum=120,
+        #             step=1,
+        #             value=2,
+        #         )
         
-        gr.Examples(
-            examples = examples,
-            inputs = [prompt]
-        )
+        # gr.Examples(
+        #     examples = examples,
+        #     inputs = [prompt]
+        # )
 
     run_button.click(
         fn = infer,
-        inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+        inputs = [ num_inference_steps],
         outputs = [result]
     )