Update app.py

app.py

@@ -54,92 +54,179 @@ css="""
 
 with gr.Blocks(css=css) as demo:
 
-    # with gr.Tab("Text-to-Image"):
+    with gr.Tab("Text-to-Image"):
     
-    with gr.Column(elem_id="col-container"):
-        gr.Markdown(f"""
-        # Text-to-Image Gradio Template
-        """)
-        
-        with gr.Row():
+        with gr.Column(elem_id="col-container"):
+            gr.Markdown(f"""
+            # Text-to-Image Gradio Template
+            """)
             
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
-                container=False,
-            )
+            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)
             
-            run_button = gr.Button("Run", scale=0)
-        
-        result = gr.Image(label="Result", show_label=False)
-
-        with gr.Accordion("Advanced Settings", open=False):
+            result = gr.Image(label="Result", show_label=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,
+                )
+                
+                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, #Replace with defaults that work for your model
+                    )
+                    
+                    height = gr.Slider(
+                        label="Height",
+                        minimum=256,
+                        maximum=MAX_IMAGE_SIZE,
+                        step=32,
+                        value=1024, #Replace with defaults that work for your model
+                    )
+                
+                with gr.Row():
+                    
+                    guidance_scale = gr.Slider(
+                        label="Guidance scale",
+                        minimum=0.0,
+                        maximum=10.0,
+                        step=0.1,
+                        value=0.0, #Replace with defaults that work for your model
+                    )
+                    
+                    num_inference_steps = gr.Slider(
+                        label="Number of inference steps",
+                        minimum=1,
+                        maximum=50,
+                        step=1,
+                        value=2, #Replace with defaults that work for your model
+                    )
             
-            negative_prompt = gr.Text(
-                label="Negative prompt",
-                max_lines=1,
-                placeholder="Enter a negative prompt",
-                visible=False,
+            gr.Examples(
+                examples = examples,
+                inputs = [prompt]
             )
-            
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
+    
+            run_button.click(
+                fn=infer,
+                inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+                outputs = [result, seed]
             )
-            
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+
+    with gr.Tab("Image-to-Image"):
+
+        with gr.Column(elem_id="col-container"):
+            gr.Markdown(f"""
+            # Text-to-Image Gradio Template
+            """)
             
             with gr.Row():
                 
-                width = gr.Slider(
-                    label="Width",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=1024, #Replace with defaults that work for your model
+                prompt = gr.Text(
+                    label="Prompt",
+                    show_label=False,
+                    max_lines=1,
+                    placeholder="Enter your prompt",
+                    container=False,
                 )
                 
-                height = gr.Slider(
-                    label="Height",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=1024, #Replace with defaults that work for your model
-                )
+                run_button = gr.Button("Run", scale=0)
             
-            with gr.Row():
+            result = gr.Image(label="Result", show_label=False)
+    
+            with gr.Accordion("Advanced Settings", open=False):
                 
-                guidance_scale = gr.Slider(
-                    label="Guidance scale",
-                    minimum=0.0,
-                    maximum=10.0,
-                    step=0.1,
-                    value=0.0, #Replace with defaults that work for your model
+                negative_prompt = gr.Text(
+                    label="Negative prompt",
+                    max_lines=1,
+                    placeholder="Enter a negative prompt",
+                    visible=False,
                 )
                 
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=50,
+                seed = gr.Slider(
+                    label="Seed",
+                    minimum=0,
+                    maximum=MAX_SEED,
                     step=1,
-                    value=2, #Replace with defaults that work for your model
+                    value=0,
                 )
-        
-        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],
-            outputs = [result, seed]
-        )
+                
+                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, #Replace with defaults that work for your model
+                    )
+                    
+                    height = gr.Slider(
+                        label="Height",
+                        minimum=256,
+                        maximum=MAX_IMAGE_SIZE,
+                        step=32,
+                        value=1024, #Replace with defaults that work for your model
+                    )
+                
+                with gr.Row():
+                    
+                    guidance_scale = gr.Slider(
+                        label="Guidance scale",
+                        minimum=0.0,
+                        maximum=10.0,
+                        step=0.1,
+                        value=7.5, #Replace with defaults that work for your model
+                    )
+                    
+                    num_inference_steps = gr.Slider(
+                        label="Number of inference steps",
+                        minimum=1,
+                        maximum=50,
+                        step=1,
+                        value=25, #Replace with defaults that work for your model
+                    )
+            
+            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],
+                outputs = [result, seed]
+            )
     # gr.on(
     #     triggers=[run_button.click, prompt.submit],
     #     fn = infer,