---
title: sapiens-normal-2b
canonical_url: "https://www.modelscope.cn/models/facebook/sapiens-normal-2b"
md_url: "https://www.modelscope.cn/models/facebook/sapiens-normal-2b.md"
repository: facebook/sapiens-normal-2b
last_updated: 2025-05-20
license: cc-by-nc-4.0
library_name:
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 334
stars: 0
tags:
  - sapiens
---

# sapiens-normal-2b

> sapiens-normal-2b - facebook 在 ModelScope 开源的模型。Model Details Sapiens is a family of vision transformers pretrained on 300 million human images at 1024 x 1024 image resolution. The pretrained models, when finetuned for human-centric vision tasks, generalize…

facebook/sapiens-normal-2b 是 ModelScope 魔搭社区上的机器学习模型，采用 cc-by-nc-4.0 许可。

- **Repository**: facebook/sapiens-normal-2b
- **License**: cc-by-nc-4.0
- **Tags**: sapiens
- **Downloads**: 334
- **Stars**: 0
- **Last updated**: 2025-05-20

Source: https://www.modelscope.cn/models/facebook/sapiens-normal-2b

---

# Normal-Sapiens-2B

### Model Details
Sapiens is a family of vision transformers pretrained on 300 million human images at 1024 x 1024 image resolution. The pretrained models, when finetuned for human-centric vision tasks, generalize to in-the-wild conditions.
Sapiens-2B natively support 1K high-resolution inference. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic.

- **Developed by:** Meta
- **Model type:** Vision Transformer
- **License:** Creative Commons Attribution-NonCommercial 4.0
- **Task:** normal
- **Format:** original
- **File:** sapiens_2b_normal_render_people_epoch_70.pth

### Model Card
- **Image Size:** 1024 x 768 (H x W)
- **Num Parameters:** 2.163 B
- **FLOPs:** 8.709 TFLOPs
- **Patch Size:** 16 x 16
- **Embedding Dimensions:** 1920
- **Num Layers:** 48
- **Num Heads:** 32
- **Feedforward Channels:** 7680

### More Resources
- **Repository:** [https://github.com/facebookresearch/sapiens](https://github.com/facebookresearch/sapiens)
- **Paper:** [https://arxiv.org/abs/2408.12569](https://arxiv.org/abs/2408.12569)
- **Demo:** [https://huggingface.co/spaces/facebook/sapiens-normal](https://huggingface.co/spaces/facebook/sapiens-normal)
- **Project Page:** [https://about.meta.com/realitylabs/codecavatars/sapiens](https://about.meta.com/realitylabs/codecavatars/sapiens/)
- **Additional Results:** [https://rawalkhirodkar.github.io/sapiens](https://rawalkhirodkar.github.io/sapiens/)
- **HuggingFace Collection:** [https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc](https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc)

## Uses
Normal 2B model can be used to estimate surface normal (XYZ) on human images.