Update app.py

app.py

@@ -195,11 +195,11 @@ def inference(
 with gr.Blocks() as app:
     gr.Markdown(
         '''
-        <center><h1>Illusion Diffusion HQ 🌀</h1></span>  
-        <span font-size:16px;">Generate stunning high quality illusion artwork with Stable Diffusion</span>  
+        <center><h1>Higher Illusions ⬆️</h1></span>  
+        <span font-size:16px;">Generate stunning illusions for the higher community</span>  
         </center>
  
-        A space by AP [Follow me on Twitter](https://twitter.com/angrypenguinPNG) with big contributions from [multimodalart](https://twitter.com/multimodalart)
+        A space by String [Follow me on Warpcast](https://warpcast.com/stringtheory69)
 
         This project works by using [Monster Labs QR Control Net](https://huggingface.co/monster-labs/control_v1p_sd15_qrcode_monster).
         Given a prompt and your pattern, we use a QR code conditioned controlnet to create a stunning illusion! Credit to: [MrUgleh](https://twitter.com/MrUgleh) for discovering the workflow :)
@@ -211,7 +211,7 @@ with gr.Blocks() as app:
         with gr.Column():
             control_image = gr.Image(label="Input Illusion", type="pil", elem_id="control_image")
             controlnet_conditioning_scale = gr.Slider(minimum=0.0, maximum=5.0, step=0.01, value=0.8, label="Illusion strength", elem_id="illusion_strength", info="ControlNet conditioning scale")
-            gr.Examples(examples=["arrow.png" ], inputs=control_image)
+            gr.Examples(examples=["arrow.png", "arrow_big.png", "arrow_inverse.png", "arrow_inverse_big.png" ], inputs=control_image)
             prompt = gr.Textbox(label="Prompt", elem_id="prompt", info="Type what you want to generate", placeholder="Medieval village scene with busy streets and castle in the distance")
             negative_prompt = gr.Textbox(label="Negative Prompt", info="Type what you don't want to see", value="low quality", elem_id="negative_prompt")
             with gr.Accordion(label="Advanced Options", open=False):