Update app.py

app.py

@@ -110,92 +110,89 @@ col-container {
 """
 
 with gr.Blocks(css=css) as demo:
-    
-    with gr.Column(elem_id="col-container"):
-        gr.Markdown(f"""Generate an image with Flux. Try it out and let me know what you think! Expect roughly 45-60 seconds per generation with it's current backend. This can be scaled up over time as needed. Thanks!
- Not for Commercial Use - Apache 2.0 License
-        """)
-        
-        with gr.Row():
-            
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
-                container=False,
-            )
-            
-            run_button = gr.Button("Run", scale=0)
-        
-        result = gr.Image(label="Result", show_label=False)
-
-        with gr.Row():
-            
-            gr.Examples(
-                examples = examples,
-                fn = infer,
-                inputs = [prompt],
-                outputs = [result, seed],
-                cache_examples="lazy"
-        )
-
-        
-        with gr.Accordion("Advanced Settings", open=False):
-            
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
-            )
-            
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-            
-            with gr.Row():
-                
-                width = gr.Slider(
-                    label="Width",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=1024,
-                )
-                
-                height = gr.Slider(
-                    label="Height",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=1024,
-                )
-            
-            with gr.Row():
-
-                guidance_scale = gr.Slider(
-                    label="Guidance Scale",
-                    minimum=1,
-                    maximum=15,
-                    step=0.1,
-                    value=3.5,
-                )
-  
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=50,
-                    step=1,
-                    value=28,
-                )
-        
-
-    gr.on(
-        triggers=[run_button.click, prompt.submit],
-        fn = infer,
-        inputs = [prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
-        outputs = [result, seed]
-    )
+
+with gr.Column(elem_id="col-container"):
+gr.Markdown(f"""Generate an image with Flux. Try it out and let me know what you think! Expect roughly 45-60 seconds per generation with it's current backend. This can be scaled up over time as needed. Thanks!
+Not for Commercial Use - Apache 2.0 License
+""")
+
+with gr.Row():
+
+prompt = gr.Text(
+label="Prompt",
+show_label=False,
+max_lines=1,
+placeholder="Enter your prompt",
+container=False,
+)
+
+run_button = gr.Button("Run", scale=0)
+
+result = gr.Image(label="Result", show_label=False)
+
+with gr.Accordion("Advanced Settings", open=False):
+
+seed = gr.Slider(
+label="Seed",
+minimum=0,
+maximum=MAX_SEED,
+step=1,
+value=0,
+)
+
+randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+
+with gr.Row():
+
+width = gr.Slider(
+label="Width",
+minimum=256,
+maximum=MAX_IMAGE_SIZE,
+step=32,
+value=1024,
+)
+
+height = gr.Slider(
+label="Height",
+minimum=256,
+maximum=MAX_IMAGE_SIZE,
+step=32,
+value=1024,
+)
+
+with gr.Row():
+
+guidance_scale = gr.Slider(
+label="Guidance Scale",
+minimum=1,
+maximum=15,
+step=0.1,
+value=3.5,
+)
+
+num_inference_steps = gr.Slider(
+label="Number of inference steps",
+minimum=1,
+maximum=50,
+step=1,
+value=28,
+)
+
+gr.Examples(
+examples = examples,
+fn = infer,
+inputs = [prompt],
+outputs = [result, seed],
+cache_examples="lazy"
+)
+
+
+gr.on(
+triggers=[run_button.click, prompt.submit],
+fn = infer,
+inputs = [prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+outputs = [result, seed]
+)
 
 demo.launch()