Update app.py

app.py

@@ -3,12 +3,11 @@ import numpy as np
 import random
 import uuid
 from PIL import Image
+
 import spaces
 from diffusers import DiffusionPipeline
 import torch
 
-DESCRIPTIONx = """## SD3.5 LARGE TURBO """
-
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model_repo_id = "stabilityai/stable-diffusion-3.5-large-turbo"
 
@@ -59,7 +58,7 @@ grid_sizes = {
     "1x1": (1, 1)
 }
 
-@spaces.GPU(duration=60, enable_queue=True)
+@spaces.GPU
 def infer(
     prompt,
     negative_prompt="",
@@ -124,94 +123,92 @@ footer {
 '''
 
 with gr.Blocks(css=css, theme="prithivMLmods/Minecraft-Theme") 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, variant="primary")
-    result = gr.Image(label="Result", columns=1, preview=True, show_label=False)
-        
-    with gr.Row(visible=True):
-        grid_size_selection = gr.Dropdown(
-            choices=["2x1", "1x2", "2x2", "2x3", "3x2", "1x1"],
-            value="1x1",
-            label="Grid Size"
-        )
-
-    with gr.Row(visible=True):     
-        style_selection = gr.Radio(
-            show_label=True,
-            container=True,
-            interactive=True,
-            choices=STYLE_NAMES,
-            value=DEFAULT_STYLE_NAME,
-            label="Quality Style",
-        )
-
-    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,
-        )
-
-        randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown("## SD3.5-Turbo")
         
         with gr.Row():
-            width = gr.Slider(
-                label="Width",
-                minimum=512,
-                maximum=MAX_IMAGE_SIZE,
-                step=32,
-                value=1024,
+            prompt = gr.Text(
+                label="Prompt",
+                show_label=False,
+                max_lines=1,
+                placeholder="Enter your prompt",
+                container=False,
             )
-
-            height = gr.Slider(
-                label="Height",
-                minimum=512,
-                maximum=MAX_IMAGE_SIZE,
-                step=32,
-                value=1024,
+            
+            run_button = gr.Button("Run", scale=0, variant="primary")
+                    
+        result = gr.Image(label="Result", show_label=False)
+
+        with gr.Row(visible=True):
+            style_selection = gr.Radio(
+                show_label=True,
+                container=True,
+                interactive=True,
+                choices=STYLE_NAMES,
+                value=DEFAULT_STYLE_NAME,
+                label="Quality Style",
+            )
+            
+        with gr.Row(visible=True):
+            grid_size_selection = gr.Dropdown(
+                choices=["2x1", "1x2", "2x2", "2x3", "3x2", "1x1"],
+                value="1x1",
+                label="Grid Size"
             )
 
-        with gr.Row():
-            guidance_scale = gr.Slider(
-                label="Guidance scale",
-                minimum=0.0,
-                maximum=7.5,
-                step=0.1,
-                value=0.0,
+        with gr.Accordion("Advanced Settings", open=False):
+            negative_prompt = gr.Text(
+                label="Negative prompt",
+                max_lines=1,
+                placeholder="Enter a negative prompt",
+                visible=False,
             )
 
-            num_inference_steps = gr.Slider(
-                label="Number of inference steps",
-                minimum=1,
-                maximum=50,
+            seed = gr.Slider(
+                label="Seed",
+                minimum=0,
+                maximum=MAX_SEED,
                 step=1,
-                value=4,
+                value=0,
             )
-                
-    gr.Examples(
-        examples=examples, 
-        inputs=[prompt], 
-        outputs=[result, seed], 
-        fn=infer,
-        cache_examples=True
-    )
+
+            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+
+            with gr.Row():
+                width = gr.Slider(
+                    label="Width",
+                    minimum=512,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=1024,
+                )
+
+                height = gr.Slider(
+                    label="Height",
+                    minimum=512,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=1024,
+                )
+
+            with gr.Row():
+                guidance_scale = gr.Slider(
+                    label="Guidance scale",
+                    minimum=0.0,
+                    maximum=7.5,
+                    step=0.1,
+                    value=0.0,
+                )
+
+                num_inference_steps = gr.Slider(
+                    label="Number of inference steps",
+                    minimum=1,
+                    maximum=50,
+                    step=1,
+                    value=4,
+                )
+
+        gr.Examples(examples=examples, inputs=[prompt], outputs=[result, seed], fn=infer, cache_examples=True, cache_mode="lazy")
         
     gr.on(
         triggers=[run_button.click, prompt.submit],