# Download pretrained models.
cd third_party/StableCascade/models
bash download_models.sh essential big-big bfloat16
cd ..
# Install dependencies following the original [StableCascade](https://github.com/Stability-AI/StableCascade/blob/master/inference/readme.md)
conda create -n rbm python==3.9
pip install -r requirements.txt
pip install jupyter notebook opencv-python matplotlib ftfy
# Download [pre-trained CSD weights](https://drive.google.com/file/d/1FX0xs8p-C7Ob-h5Y4cUhTeOepHzXv_46/view) and put it under `third_party/CSD/checkpoint.pth`.
# Install LangSAM
pip install  git+https://github.com/IDEA-Research/GroundingDINO.git
pip install segment-anything==1.0
git clone https://github.com/luca-medeiros/lang-segment-anything && cd lang-segment-anything
pip install -e .

jupyter notebook rb-modulation.ipynb

@inproceedings{
rout2025rbmodulation,
title={{RB}-Modulation: Training-Free Stylization using Reference-Based Modulation},
author={Litu Rout and Yujia Chen and Nataniel Ruiz and Abhishek Kumar and Constantine Caramanis and Sanjay Shakkottai and Wen-Sheng Chu},
booktitle={The Thirteenth International Conference on Learning Representations},
year={2025},
url={https://openreview.net/forum?id=bnINPG5A32}
}