Update app.py

app.py

@@ -4,8 +4,6 @@ import random
 import uuid
 import gradio as gr
 import numpy as np
-from PIL import Image
-import spaces
 import torch
 from diffusers import StableDiffusionXLPipeline, EulerAncestralDiscreteScheduler
 
@@ -151,22 +149,25 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme", js=js_func) as demo:
     gr.Markdown(DESCRIPTIONx)
     
     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)
-    result = gr.Gallery(label="Result", columns=1, show_label=False) 
+        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)
 
-    with gr.Row():
-        model_choice = gr.Dropdown(
-            label="Model",
-            choices=list(MODEL_OPTIONS.keys()),
-            value="RealVisXL_V4.0_Lightning"
-        )
+    result = gr.Gallery(label="Result", columns=1, show_label=False) 
 
     with gr.Accordion("Advanced options", open=True):
         num_images = gr.Slider(
@@ -176,17 +177,16 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme", js=js_func) as demo:
             step=1,
             value=1,
         )
-        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,
-                )
+        
+        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,
@@ -194,37 +194,40 @@ 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)
-        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,
-            )
+        
+        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,
+        )
 
     gr.Examples(
         examples=examples,