Update app.py

app.py

@@ -7,7 +7,7 @@ from diffusers import DiffusionPipeline
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model_repo_id = "stabilityai/sdxl-turbo"  # Replace to the model you would like to use
+model_repo_id = "stabilityai/sdxl-turbo"  # Model ID for SDXL
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
@@ -66,8 +66,10 @@ css = """
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown(" # Text-to-Image Gradio Template")
-
+        gr.Markdown(" # Text-to-Image Gradio")
+        gr.Markdown(
+            "### Enter a description below to generate a unique image, or try one of the example prompts!"
+        )
         with gr.Row():
             prompt = gr.Text(
                 label="Prompt",
@@ -105,7 +107,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    value=512,
                 )
 
                 height = gr.Slider(
@@ -113,7 +115,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    value=512,
                 )
 
             with gr.Row():
@@ -122,7 +124,8 @@ with gr.Blocks(css=css) as demo:
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=0.0,  # Replace with defaults that work for your model
+                    value=7.5, 
+                    info="Higher values make the output closer to the prompt"
                 )
 
                 num_inference_steps = gr.Slider(
@@ -130,7 +133,8 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=50,
                     step=1,
-                    value=2,  # Replace with defaults that work for your model
+                    value=20, 
+                    info="More steps increase image quality but also generation time"
                 )
 
         gr.Examples(examples=examples, inputs=[prompt])