reverted back

app.py

@@ -1,11 +1,13 @@
 import gradio as gr
 import numpy as np
 import random
+
+# import spaces #[uncomment to use ZeroGPU]
 from diffusers import DiffusionPipeline
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model_repo_id = "stabilityai/sdxl-turbo"
+model_repo_id = "stabilityai/sdxl-turbo"  # Replace to the model you would like to use
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
@@ -18,6 +20,8 @@ pipe = pipe.to(device)
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
+
+# @spaces.GPU #[uncomment to use ZeroGPU]
 def infer(
     prompt,
     negative_prompt,
@@ -46,6 +50,7 @@ def infer(
 
     return image, seed
 
+
 examples = [
     "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
     "An astronaut riding a green horse",
@@ -56,59 +61,12 @@ css = """
 #col-container {
     margin: 0 auto;
     max-width: 640px;
-    background-color: #f9f9f9;
-    border-radius: 10px;
-    padding: 20px;
-    box-shadow: 0 4px 20px rgba(0, 0, 0, 0.1);
-}
-
-h1 {
-    color: #333;
-    font-family: 'Arial', sans-serif;
-}
-
-input, .gr-button {
-    border-radius: 5px;
-    border: 1px solid #ccc;
-    padding: 10px;
-    font-size: 14px;
-}
-
-input:focus, .gr-button:focus {
-    border-color: #007bff;
-    outline: none;
-}
-
-.gr-button {
-    background-color: #007bff;
-    color: white;
-    transition: background-color 0.3s;
-}
-
-.gr-button:hover {
-    background-color: #0056b3;
-}
-
-.accordion-header {
-    background-color: #e9ecef;
-    border-radius: 5px;
-    padding: 10px;
-}
-
-.accordion-content {
-    background-color: #fff;
-    border: 1px solid #ccc;
-    border-radius: 5px;
-}
-
-.gr-slider {
-    margin-top: 10px;
 }
 """
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown("<h1>Text-to-Image Gradio Template</h1>")
+        gr.Markdown(" # Text-to-Image Gradio Template")
 
         with gr.Row():
             prompt = gr.Text(
@@ -147,7 +105,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,
+                    value=1024,  # Replace with defaults that work for your model
                 )
 
                 height = gr.Slider(
@@ -155,7 +113,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,
+                    value=1024,  # Replace with defaults that work for your model
                 )
 
             with gr.Row():
@@ -164,7 +122,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=0.0,
+                    value=0.0,  # Replace with defaults that work for your model
                 )
 
                 num_inference_steps = gr.Slider(
@@ -172,7 +130,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=50,
                     step=1,
-                    value=2,
+                    value=2,  # Replace with defaults that work for your model
                 )
 
         gr.Examples(examples=examples, inputs=[prompt])
@@ -193,4 +151,5 @@ with gr.Blocks(css=css) as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()
+## Added a comment