Update app.py

app.py

@@ -14,6 +14,7 @@ if torch.cuda.is_available():
 else:
     torch_dtype = torch.float32
 
+MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
 
@@ -61,39 +62,55 @@ css = """
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown(" # Text-to-Image Gradio Template")
+        gr.Markdown(" # Text-to-Image demo")
 
         with gr.Row():
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
+            model_id = gr.Textbox(
+                label="Model ID",
                 max_lines=1,
-                placeholder="Enter your prompt",
-                container=False,
+                placeholder="Enter model id",
+                value=model_id_default,
             )
 
-            run_button = gr.Button("Run", scale=0, variant="primary")
+        prompt = gr.Textbox(
+            label="Prompt",
+            max_lines=1,
+            placeholder="Enter your prompt",
+        )
 
-        result = gr.Image(label="Result", show_label=False)
+        negative_prompt = gr.Textbox(
+            label="Negative prompt",
+            max_lines=1,
+            placeholder="Enter your negative prompt",
+        )
 
-        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(
+        with gr.Row():
+            seed = gr.Number(
                 label="Seed",
                 minimum=0,
                 maximum=MAX_SEED,
                 step=1,
-                value=0,
+                value=42,
             )
 
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+        with gr.Row():
+            guidance_scale = gr.Slider(
+                label="Guidance scale",
+                minimum=0.0,
+                maximum=10.0,
+                step=0.1,
+                value=7.0,  # 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=20,  # Replace with defaults that work for your model
+            )
+
+        with gr.Accordion("Optional Settings", open=False):
             with gr.Row():
                 width = gr.Slider(
                     label="Width",
@@ -110,39 +127,24 @@ with gr.Blocks(css=css) as demo:
                     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
-                )
-
-        gr.Examples(examples=examples, inputs=[prompt])
+        
+        run_button = gr.Button("Run", scale=0, variant="primary")
+        result = gr.Image(label="Result", show_label=False)
+        
     gr.on(
         triggers=[run_button.click, prompt.submit],
         fn=infer,
         inputs=[
+            model_id,
             prompt,
             negative_prompt,
             seed,
-            randomize_seed,
             width,
             height,
             guidance_scale,
             num_inference_steps,
         ],
-        outputs=[result, seed],
+        outputs=[result],
     )
 
 if __name__ == "__main__":