Update app.py

app.py

@@ -9,9 +9,12 @@ import spaces
 import torch
 from diffusers import StableDiffusionXLPipeline, EulerAncestralDiscreteScheduler
 
-
 DESCRIPTIONx = """
+
+
 ## TEXT 2 IMAGE PLAYGROUND 🥠
+
+
 """
 
 css = '''
@@ -152,26 +155,23 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme", js=js_func) as demo:
     gr.Markdown(DESCRIPTIONx)
     
     with gr.Row():
-        with gr.Column(scale=2):
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
-                container=False,
-            )
-            run_button = gr.Button("Run🚀", scale=0)
-        
-        with gr.Column(scale=2):
-            model_choice = gr.Dropdown(
-                label="Model",
-                choices=list(MODEL_OPTIONS.keys()),
-                value="RealVisXL_V4.0_Lightning"
-            )
-            use_negative_prompt = gr.Checkbox(label="Use negative prompt", value=True)
-
+        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.Gallery(label="Result", columns=1, show_label=False) 
 
+    with gr.Row():
+        model_choice = gr.Dropdown(
+            label="Model",
+            choices=list(MODEL_OPTIONS.keys()),
+            value="RealVisXL_V4.0_Lightning"
+        )
+
     with gr.Accordion("Advanced options", open=True):
         num_images = gr.Slider(
             label="Number of Images",
@@ -180,16 +180,17 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme", js=js_func) as demo:
             step=1,
             value=1,
         )
-        
-        negative_prompt = gr.Text(
-            label="Negative prompt",
-            max_lines=5,
-            lines=4,
-            placeholder="Enter a negative prompt",
-            value="(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation",
-            visible=True,
-        )
-        
+        with gr.Row():
+            with gr.Column(scale=1):
+                use_negative_prompt = gr.Checkbox(label="Use negative prompt", value=True)
+                negative_prompt = gr.Text(
+                    label="Negative prompt",
+                    max_lines=5,
+                    lines=4,
+                    placeholder="Enter a negative prompt",
+                    value="(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation",
+                    visible=True,
+                )
         seed = gr.Slider(
             label="Seed",
             minimum=0,
@@ -197,40 +198,37 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme", js=js_func) as demo:
             step=1,
             value=0,
         )
-        
         randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-        
-        width = gr.Slider(
-            label="Width",
-            minimum=512,
-            maximum=MAX_IMAGE_SIZE,
-            step=64,
-            value=1024,
-        )
-        
-        height = gr.Slider(
-            label="Height",
-            minimum=512,
-            maximum=MAX_IMAGE_SIZE,
-            step=64,
-            value=1024,
-        )
-        
-        guidance_scale = gr.Slider(
-            label="Guidance Scale",
-            minimum=0.1,
-            maximum=6,
-            step=0.1,
-            value=3.0,
-        )
-        
-        num_inference_steps = gr.Slider(
-            label="Number of inference steps",
-            minimum=1,
-            maximum=25,
-            step=1,
-            value=20,
-        )
+        with gr.Row(visible=True):
+            width = gr.Slider(
+                label="Width",
+                minimum=512,
+                maximum=MAX_IMAGE_SIZE,
+                step=64,
+                value=1024,
+            )
+            height = gr.Slider(
+                label="Height",
+                minimum=512,
+                maximum=MAX_IMAGE_SIZE,
+                step=64,
+                value=1024,
+            )
+        with gr.Row():
+            guidance_scale = gr.Slider(
+                label="Guidance Scale",
+                minimum=0.1,
+                maximum=6,
+                step=0.1,
+                value=3.0,
+            )
+            num_inference_steps = gr.Slider(
+                label="Number of inference steps",
+                minimum=1,
+                maximum=25,
+                step=1,
+                value=20,
+            )
 
     gr.Examples(
         examples=examples,