change of layout

app.py

@@ -37,15 +37,15 @@ examples = [
     ],
     [
         "a peacock, back view | a peacock, front view",
-        "1 | -3.5",
+        "1 | -3",
         "30",
-        "7.5"
+        "10"
     ],
     [
         "a peacock, back view",
         "1",
         "30",
-        "7.5"
+        "10"
     ],    
     [
         "A boy wearing sunglasses | a pair of sunglasses with white frame",
@@ -122,21 +122,21 @@ with app:
     
     with gr.Row():
         with gr.Column():
-            # with gr.Tab(label="FUll prompt"):
-            gr.Markdown(
-                "### **Provide a list of prompts and their weights separated by | **"
-            )
-            prompt = gr.Textbox(label="List of prompts:", show_label=True)
-            weights = gr.Textbox(
-                label="List of weights:", show_label=True
-            )
-            seed = gr.Textbox(
-                label="Seed:", show_label=True
-            )
-            scale = gr.Textbox(
-                label="Guidance scale:", show_label=True
-            )                   
-            image_gen_btn = gr.Button(value="Generate")
+            with gr.Tab(label="Inputs"):
+                gr.Markdown(
+                    "### Provide a list of prompts and their weights separated by | "
+                )
+                prompt = gr.Textbox(label="List of prompts:", show_label=True)
+                weights = gr.Textbox(
+                    label="List of weights:", show_label=True
+                )
+                seed = gr.Textbox(
+                    label="Seed:", show_label=True
+                )
+                scale = gr.Textbox(
+                    label="Guidance scale:", show_label=True
+                )                   
+                image_gen_btn = gr.Button(value="Generate")
 
         with gr.Column():
             img_output = gr.Image(
@@ -160,7 +160,7 @@ with app:
         outputs=[img_output],
     )
     gr.Markdown("""
-    \n This is the repository for using Perp-Neg sampling with Stable Diffusion model, as presented in [Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond.](https://Perp-Neg.github.i).
+    \n The algorithem is based on the paper: [Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond.](https://Perp-Neg.github.i).
     """)    
 
     gr.Markdown(