Instructions to use AEmotionStudio/sapiens2-pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sapiens2
How to use AEmotionStudio/sapiens2-pretrain with sapiens2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 1,308 Bytes
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license: other
license_name: sapiens2-meta-proprietary
license_link: https://huggingface.co/AEmotionStudio/sapiens2-pretrain/blob/main/LICENSE.md
tags:
- sapiens2
- human-centric
- vision
---
# Sapiens2 — pretrain
Mirror of [`facebook/sapiens2-pretrain-*`](https://huggingface.co/collections/facebook/sapiens2) (Pretrained backbone features (raw transformer outputs)).
This mirror exists to give the [ComfyUI-FFMPEGA](https://github.com/AEmotionStudio/ComfyUI-FFMPEGA)
project a stable, regional source for Sapiens2 checkpoints used by the
`sapiens2` no-LLM mode. Weights are bit-identical to the upstream
release — see `facebook/sapiens2-pretrain-<size>` for the official copy.
## License
Sapiens2 is released under Meta's **Sapiens2 Proprietary License**
(see `LICENSE.md` in this repo for the full text). Key restrictions:
- No surveillance, biometric identification, or deepfake use.
- No use for weapons / critical-infrastructure.
- Attribution required on publications.
By downloading these weights you accept the license terms.
## Citation
```bibtex
@article{khirodkarsapiens2,
title={Sapiens2},
author={Khirodkar, Rawal and Wen, He and Martinez, Julieta and Dong, Yuan and Su, Zhaoen and Saito, Shunsuke},
journal={arXiv preprint arXiv:2604.21681},
year={2026}
}
```
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