Update app.py

app.py

@@ -31,9 +31,9 @@ def generate(prompt, guidance_scale, num_inference_steps, resolution, negative_p
 
 # Example prompts to demonstrate the model's capabilities
 example_prompts = [
-    ["A futuristic cityscape at night under a starry sky", 3.5, 25, "blurry, overexposed"],
-    ["A serene landscape with a flowing river and autumn trees", 3, 20, "crowded, noisy"],
-    ["An abstract painting of joy and energy in bright colors", 3.0, 30, "dark, dull"]
+    ["A futuristic cityscape at night under a starry sky", 7.5, 25, "blurry, overexposed"],
+    ["A serene landscape with a flowing river and autumn trees", 6, 20, "crowded, noisy"],
+    ["An abstract painting of joy and energy in bright colors", 7.0, 30, "dark, dull"]
 ]
 
 # Create a Gradio interface, 1024x1024,1152x960,896x1152
@@ -41,8 +41,8 @@ iface = gr.Interface(
     fn=generate,
     inputs=[
         gr.Text(label="Enter your prompt"),
-        gr.Slider(1, 20, step=0.1, label="Guidance Scale", value=3.4),
-        gr.Slider(1, 50, step=1, label="Number of Inference Steps", value=28),
+        gr.Slider(1, 20, step=0.1, label="Guidance Scale", value=7.4),
+        gr.Slider(1, 50, step=1, label="Number of Inference Steps", value=20),
         gr.Radio(["1024x1024", "1152x960", "896x1152"], label="Resolution", value="1152x960"),
         gr.Text(value="underexposed, blurry, ugly, washed-out", label="Negative Prompt")
     ],