update app.py

app.py

@@ -27,15 +27,15 @@ def infer(
     prompt,
     negative_prompt,
     seed,
-    randomize_seed,
+    # randomize_seed,
     width,
     height,
     guidance_scale,
     num_inference_steps,
     progress=gr.Progress(track_tqdm=True),
 ):
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
+    # if randomize_seed:
+    #     seed = random.randint(0, MAX_SEED)
 
     print(f"Model id: {model_id}")
     pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch_dtype)
@@ -73,6 +73,14 @@ with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
         gr.Markdown(" # Text-to-Image Gradio Template")
 
+        model_id = gr.Text(
+            label="Model ID",
+            show_label=False,
+            max_lines=1,
+            placeholder="Enter model id",
+            container=False,
+            value="CompVis/stable-diffusion-v1-4",
+        )
         prompt = gr.Text(
             label="Prompt",
             show_label=False,
@@ -80,45 +88,43 @@ with gr.Blocks(css=css) as demo:
             placeholder="Enter your prompt",
             container=False,
         )
+        negative_prompt = gr.Text(
+            label="Negative prompt",
+            max_lines=1,
+            placeholder="Enter a negative prompt",
+            visible=False,
+        )
 
         with gr.Row():
-            model_id = gr.Text(
-                label="Model ID",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter model id",
-                container=False,
-                value="CompVis/stable-diffusion-v1-4",
-            )
-            # prompt = gr.Text(
-            #     label="Prompt",
-            #     show_label=False,
-            #     max_lines=1,
-            #     placeholder="Enter your prompt",
-            #     container=False,
-            # )
-
-            run_button = gr.Button("Run", scale=0, variant="primary")
-
-        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,
+                value=42,
             )
+            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
+            )
+
+
+        with gr.Row():
+            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
+            )
+            run_button = gr.Button("Run", scale=0, variant="primary")
 
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+        result = gr.Image(label="Result", show_label=False)
+
+        with gr.Accordion("Advanced Settings", open=False):
 
             with gr.Row():
                 width = gr.Slider(
@@ -137,22 +143,6 @@ with gr.Blocks(css=css) as demo:
                     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])
     gr.on(
@@ -163,7 +153,6 @@ with gr.Blocks(css=css) as demo:
             prompt,
             negative_prompt,
             seed,
-            randomize_seed,
             width,
             height,
             guidance_scale,