metadata
license: other
license_name: sapiens2-license
license_link: https://github.com/facebookresearch/sapiens2/blob/main/LICENSE.md
pipeline_tag: image-segmentation
library_name: sapiens
base_model: facebook/sapiens2-pretrain-1b
tags:
- sapiens
- sapiens2
- human-centric
- matting
Sapiens2-1B-Matting
Per-pixel human image matting with a soft alpha matte and pre-multiplied foreground RGB output.
This repository contains the 1B Human Matting checkpoint, finetuned from the Sapiens2-1B pretrained backbone.
- 📄 Paper: arXiv:2604.21681
- 🌐 Project Page: rawalkhirodkar.github.io/sapiens2
- 💻 Code: github.com/facebookresearch/sapiens2
Model Details
- Developed by: Meta
- Model type: Vision Transformer
- License: Sapiens2 License
- Task: Human image matting
- Base model: facebook/sapiens2-pretrain-1b
- Format: safetensors
- File:
sapiens2_1b_matting.safetensors
Quick Start
Install the Sapiens2 repo (pip install -e .), download the checkpoint, and run the demo:
# 1. Download the checkpoint to $SAPIENS_CHECKPOINT_ROOT/matting/
hf download facebook/sapiens2-matting-1b sapiens2_1b_matting.safetensors \
--local-dir ~/sapiens2_host/matting
# 2. Run the demo (edit INPUT, OUTPUT, and MODEL_NAME inside the script)
cd $SAPIENS_ROOT/sapiens/dense
./scripts/demo/matting.sh
See the Human Matting guide for details on inputs, outputs, and visualization options.
Model Card
| Field | Value |
|---|---|
| Architecture | Sapiens2 ViT backbone + Human Matting head |
| Backbone parameters | 1.462 B |
| Backbone FLOPs | 4.715 T |
| Embedding dim | 1536 |
| Layers | 40 |
| Attention heads | 24 |
| Inference resolution | 1024 × 768 (H × W) |
| Patch size | 16 |
Sapiens2-Matting Family
| Model | Params | FLOPs | Embed dim | Layers | Heads |
|---|---|---|---|---|---|
| Sapiens2-1B (this) | 1.462 B | 4.715 T | 1536 | 40 | 24 |
See the Sapiens2 Collection for all variants and other downstream task checkpoints.
Intended Use
- Human image matting on human-centric imagery
- Research on human-centric vision
License
Released under the Sapiens2 License.
Citation
@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}
}