Update app.py (#4)

- Update app.py (d484f91b36fc1f2c9fc069a3fa9bd2f12fd28c34)


Co-authored-by: Peter Lin <[email protected]>

app.py

@@ -75,19 +75,19 @@ def generate_image(prompt, ckpt):
 
 # Gradio Interface
 description = """
-This demo utilizes the SDXL-Lightning model by ByteDance, which is a fast text-to-image generative model capable of producing high-quality images in 4 steps.
+This demo utilizes the SDXL-Lightning model by ByteDance, which is a lightning-fast text-to-image generative model capable of producing high-quality images in 4 steps.
 As a community effort, this demo was put together by AngryPenguin. Link to model: https://huggingface.co/ByteDance/SDXL-Lightning
 """
 
 with gr.Blocks(css="style.css") as demo:
-    gr.HTML("<h1><center>Text-to-Image with SDXL Lightning ⚡</center></h1>")
+    gr.HTML("<h1><center>Text-to-Image with SDXL-Lightning ⚡</center></h1>")
     gr.Markdown(description)
     with gr.Group():
         with gr.Row():
             prompt = gr.Textbox(label='Enter you image prompt:', scale=8)
-            ckpt = gr.Dropdown(label='Select Inference Steps',choices=['1-Step', '2-Step', '4-Step', '8-Step'], value='4-Step', interactive=True)
+            ckpt = gr.Dropdown(label='Select inference steps',choices=['1-Step', '2-Step', '4-Step', '8-Step'], value='4-Step', interactive=True)
             submit = gr.Button(scale=1, variant='primary')
-    img = gr.Image(label='SDXL-Lightening Generate Image')
+    img = gr.Image(label='SDXL-Lightning Generated Image')
 
     prompt.submit(fn=generate_image,
                  inputs=[prompt, ckpt],