LVFace
Transformer-based face recognition from ByteDance, one of the most accurate open models on benchmarks. Weights are published in ONNX format but are non-commercial.
- Developer
- ByteDance, China
- First release
- Aug 2025
- Latest release
- Aug 2025
- Sizes
- ViT-T – ViT-L
- License
- Non-commercial onlyCode is MIT, but the weights (trained on Glint360K) are for non-commercial research only
- Running
- On your own serverAlso runs without a GPU
- Industries
- Security, Science and research
What it does
- Comparing faces and searching a photo database
- Research on recognition accuracy
- Access control prototypes
Where it is used
Hardware requirements
Versions
- LVFace-T, S, B, L (Glint360K)
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can LVFace be used in a commercial project?
No. License: Code is MIT, but the weights (trained on Glint360K) are for non-commercial research only. A commercial product needs a different model or a separate agreement with the rights holder.
What hardware does LVFace need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does LVFace support Russian?
Language does not matter for this model: it does not work with text.
Where can I download LVFace and what does it cost?
The LVFace weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
The most widely used open toolkit for face detection and recognition. Many identity-preserving image generators are built on it. The pretrained weights are non-commercial.
DetailsComputer visionDINOv2 / DINOv3Meta · USACommercial use with conditionsFoundation models that turn an image into a numeric "fingerprint". They are used to build similar-image search, classification and segmentation without large labeled datasets.
DetailsSource: github.com/bytedance/LVFace. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


