Update app.py

app.py

@@ -147,8 +147,8 @@ def toggle(choice):
 
 with gr.Blocks() as blocks:
     gr.Markdown("""
-        ## Generate controlled outputs with ControlNet and Stable Diffusion.
-        This Space uses a custom visualization based on SPIGA face landmarks for conditioning.
+        ## Generate Uncanny Faces with ControlNet Stable Diffusion
+        [Check out our blog to see how this was done (and train your own controlnet)](https://huggingface.co/blog/train-your-controlnet)
     """)
     with gr.Row():
         with gr.Column():
@@ -183,5 +183,7 @@ with gr.Blocks() as blocks:
                 inputs=[image_in_img, prompt],
                 outputs=[gallery],
                 cache_examples=True)
-
+    gr.Markdown('''
+    This Space was trained on synthetic 3D faces to learn how to keep a pose - however it also learned that all faces are synthetic 3D faces, [learn more on our blog](https://huggingface.co/blog/train-your-controlnet), it uses a custom visualization based on SPIGA face landmarks for conditioning.
+    ''')
 blocks.launch()