Instructions to use jiuntian/OneHOI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jiuntian/OneHOI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jiuntian/OneHOI", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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---
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pipeline_tag: text-to-image
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library_name: diffusers
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---
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pipeline_tag: text-to-image
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library_name: diffusers
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---
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## OneHOI: Unifying Human-Object Interaction Generation and Editing
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[OneHOI Project Page](https://jiuntian.github.io/OneHOI/) | [Paper (CVPR 2026)](https://arxiv.org/abs/2604.14062)
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To use this pretrained models, see our Github repo at [https://jiuntian.github.io/OneHOI/](https://jiuntian.github.io/OneHOI/).
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## Citation
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If you find this dataset useful for your research in HOI editing or image generation, please cite our CVPR 2026 paper:
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```bibtex
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@inproceedings{hoe2026onehoi,
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title={OneHOI: Unifying Human-Object Interaction Generation and Editing},
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author={Hoe, Jiun Tian and Hu, Weipeng and Jiang, Xudong and Tan, Yap-Peng and Chan, Chee Seng},
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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year={2026}
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}
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@misc{hoe2025interactedit,
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title={InteractEdit: Zero-Shot Editing of Human-Object Interactions in Images},
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author={Jiun Tian Hoe and Weipeng Hu and Wei Zhou and Chao Xie and Ziwei Wang and Chee Seng Chan and Xudong Jiang and Yap-Peng Tan},
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year={2025},
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eprint={2503.09130},
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archivePrefix={arXiv},
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primaryClass={cs.GR},
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url={https://arxiv.org/abs/2503.09130},
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}
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```
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