@@ -194,6 +194,10 @@ You could customize this script in [this file](gradio_demo/app.py).
- When stylizing, does the generated face look too realistic? Adjust the Style strength to 30-50, the larger the number, the less ID fidelty, but the stylization ability will be better. You could also try out other base models or LoRAs with good stylization effects.
- For faster speed, reduce the number of generated images and sampling steps. However, please note that reducing the sampling steps may compromise the ID fidelity.
# Related Resources
-[Replicate demo of PhotoMaker](https://replicate.com/jd7h/photomaker) by [@yorickvP](https://github.com/yorickvP), transfer PhotoMaker to replicate.
-[Windows version of PhotoMaker](https://github.com/bmaltais/PhotoMaker/tree/v1.0.1) by [@bmaltais](https://github.com/bmaltais), easy to deploy PhotoMaker on Windows. The description can be found in [this link](https://github.com/TencentARC/PhotoMaker/discussions/36#discussioncomment-8156199).
# 🤗 Acknowledgements
- PhotoMaker is co-hosted by Tencent ARC Lab and Nankai University [MCG-NKU](https://mmcheng.net/cmm/).
- Inspired from many excellent demos and repos, including [IP-Adapter](https://github.com/tencent-ailab/IP-Adapter), [multimodalart/Ip-Adapter-FaceID](https://huggingface.co/spaces/multimodalart/Ip-Adapter-FaceID), [FastComposer](https://github.com/mit-han-lab/fastcomposer), and [T2I-Adapter](https://github.com/TencentARC/T2I-Adapter). Thanks for their great works!
