Clone the repo:
git clone --recursive https://github.com/Stable-X/Stable3DGen.git
cd Stable3DGenCreate a conda environment (optional):
conda create -n stablex python=3.10
conda activate stablexInstall dependencies:
# pytorch (select correct CUDA version)
pip install torch==2.4.0 torchvision==0.19.0 --index-url https://download.pytorch.org/whl/{your-cuda-version}
pip install spconv-cu{your-cuda-version}==2.3.6 xformers==0.0.27.post2
# other dependencies
pip install -r requirements.txtRun by:
python app.pyThe model and code of Stable3DGen are adapted from Trellis, which are licensed under the MIT License. While the original Trellis is MIT licensed, we have specifically removed its dependencies on certain NVIDIA libraries (kaolin, nvdiffrast, flexicube) to ensure this adapted version can be used commercially. Stable3DGen itself is distributed under the MIT License.
If you find this work helpful, please consider citing our paper:
@article{ye2025hi3dgen,
title={Hi3DGen: High-fidelity 3D Geometry Generation from Images via Normal Bridging},
author={Ye, Chongjie and Wu, Yushuang and Lu, Ziteng and Chang, Jiahao and Guo, Xiaoyang and Zhou, Jiaqing and Zhao, Hao and Han, Xiaoguang},
journal={arXiv preprint arXiv:2503.22236},
year={2025}
}