updated sample prompts

app.py

@@ -92,12 +92,12 @@ with gr.Blocks() as demo:
     # IP-Adapter-FaceID-plus
     Generate images conditioned on a image prompt and a text prompt. Learn more here: https://huggingface.co/h94/IP-Adapter-FaceID
 
-    This demo is intended to use on GPU. It will work also on CPU but generating one image could take 900 seconds compared to a few sceonds on GPU.
+    This demo is intended to use on GPU. It will work also on CPU but generating one image could take 900 seconds compared to a few seconds on GPU.
     """)
     with gr.Row():
         with gr.Column():
             demo_inputs = []
-            demo_inputs.append(gr.Textbox(label='text prompt', value='headshot of a man, green moss wall in the background'))
+            demo_inputs.append(gr.Textbox(label='text prompt', value='Linkedin profile picture'))
             demo_inputs.append(gr.Image(type='filepath', label='image prompt'))
             with gr.Accordion(label='Advanced options', open=False):
                 demo_inputs.append(gr.Textbox(label='negative text prompt', value="monochrome, lowres, bad anatomy, worst quality, low quality, blurry"))
@@ -110,9 +110,10 @@ with gr.Blocks() as demo:
             demo_outputs.append(gr.Image(label='detected face', height=224, width=224))
     btn.click(generate_images, inputs=demo_inputs, outputs=demo_outputs)
     sample_prompts = [
-        'headshot of a man, green moss wall in the background',
-        'linkedin profile picture of a macdonalds worker',
-        'LinkedIn profile picture of a beautiful man dressed in a suit, huge explosion in the background',
+        'Linkedin profile picture',
+        'A singer on stage',
+        'A politician talking to the people',
+        'An astronaut in space',
         ]
     gr.Examples(sample_prompts, inputs=demo_inputs[0], label='Sample prompts')