metadata

title: Stable3DGen
emoji: 🧊
colorFrom: indigo
colorTo: pink
sdk: gradio
sdk_version: 4.32.1
app_file: app.py
pinned: false

Stable3DGen

Installation

Clone the repo:

git clone --recursive https://github.com/Stable-X/Stable3DGen.git
cd Stable3DGen

Create a conda environment (optional):

conda create -n stablex python=3.10
conda activate stablex

Install 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.txt

Local Demo 🤗

Run by:

python app.py

License

The 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.

Citation

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}
}