Update app.py

app.py

@@ -59,12 +59,16 @@ MAX_SEED = np.iinfo(np.int32).max
 
 ### Description
 title = r"""
-<h1 align="center">OMG: Occlusion-friendly Personalized Multi-concept Generation In Diffusion Models</h1>
+<h1 align="center"> OMG + LoRAs </h1>
 """
 
 description = r"""
-<b>Official 🤗 Gradio demo</b> for <a href='https://github.com/kongzhecn/OMG/' target='_blank'><b>OMG: Occlusion-friendly Personalized Multi-concept Generation In Diffusion Models</b></a>.<be>.<br>
+<b>Official 🤗 Gradio demo</b> for <a href='https://github.com/kongzhecn/OMG/' target='_blank'><b>OMG: Occlusion-friendly Personalized Multi-concept Generation In Diffusion Models</b></a>.<be><br>
+<br>
 <a href='https://kongzhecn.github.io/omg-project/' target='_blank'><b>[Project]</b></a>.<a href='https://github.com/kongzhecn/OMG/' target='_blank'><b>[Code]</b></a>.<a href='https://arxiv.org/abs/2403.10983/' target='_blank'><b>[Arxiv]</b></a>.<br>
+<br>
+❗️<b>Related demos<b>:<a href='https://huggingface.co/spaces/Fucius/OMG-InstantID/' target='_blank'><b> OMG + InstantID</b></a>❗️<br>
+<br>
 How to use:<br>
 1. Select two characters.
 2. Enter a text prompt as done in normal text-to-image models.
@@ -562,6 +566,7 @@ def main(device, segment_type):
             inputs=[prompt, negative_prompt, man, woman, resolution, local_prompt1, local_prompt2, seed, condition, condition_img1, style],
             outputs=[gallery, gen_condition]
         )
+        gr.Markdown(article)
     demo.launch(share=True)