Instructions to use Mowshon/lvface-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LVFace
How to use Mowshon/lvface-weights with LVFace:
from huggingface_hub import hf_hub_download from inference_onnx import LVFaceONNXInferencer model_path = hf_hub_download("Mowshon/lvface-weights", "LVFace-L_Glint360K/LVFace-L_Glint360K.onnx") inferencer = LVFaceONNXInferencer(model_path, use_gpu=True, timeout=300) img_path = 'path/to/image1.jpg' embedding = inferencer.infer_from_image(img_path) - Notebooks
- Google Colab
- Kaggle
Add files using upload-large-folder tool
Browse files
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MIT License
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Copyright (c) 2025 ByteDance Ltd. and/or its affiliates
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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LVFace-B_Glint360K/LVFace-B_Glint360K.onnx
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size 455533594
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size 304196926
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README.md
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---
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language:
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- en
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library_name: lvface
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pipeline_tag: image-feature-extraction
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pretty_name: LVFace ONNX Weights for Python
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license: other
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tags:
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- face-recognition
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- face-embedding
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- onnx
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- lvface
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---
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# LVFace ONNX Weights for Python
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This repository is a preservation mirror of the released LVFace ONNX embedding weights for use
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with the [`lvface`](https://github.com/mowshon/lvface) Python
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package.
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It is not the official LVFace model repository and is not affiliated with or endorsed by
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ByteDance. The models were created by the LVFace authors and were obtained from the official
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[`bytedance-research/LVFace`](https://huggingface.co/bytedance-research/LVFace) repository at
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revision [`b12702ab1f5c721748e054a66dc90e1edd1f0724`](https://huggingface.co/bytedance-research/LVFace/tree/b12702ab1f5c721748e054a66dc90e1edd1f0724).
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The files are mirrored without modification.
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## Files
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| Model | Repository path | Size | SHA-256 |
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|---|---|---:|---|
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| LVFace-T Glint360K | `LVFace-T_Glint360K/LVFace-T_Glint360K.onnx` | 76,653,813 bytes | `bf8da0e1e93c432d9a1d874a9ba0990f5859f970e8864b3990f2f33d11f9cdb3` |
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| LVFace-S Glint360K | `LVFace-S_Glint360K/LVFace-S_Glint360K.onnx` | 304,196,926 bytes | `cd09f27c82ce0a3633fb8b1966d779a7171b23aa4f14ca0de6edf9677573d119` |
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| LVFace-B Glint360K | `LVFace-B_Glint360K/LVFace-B_Glint360K.onnx` | 455,533,594 bytes | `9d834ed8e927fd35b9123b2bf97c40aad05785b1f9ecfb1c4c1f6242d38d1382` |
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| LVFace-L Glint360K | `LVFace-L_Glint360K/LVFace-L_Glint360K.onnx` | 1,022,938,188 bytes | `49389036a4a5b69e0efcddfe34839ac72c7a71ce6b4dc1b6821e2ac368c87063` |
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Only the ONNX weights required by the Python package are mirrored here. PyTorch checkpoints,
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evaluation outputs, and training code are not part of this repository.
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## Use with the Python package
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Install LVFace with Hugging Face download support:
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```bash
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python -m pip install "lvface[hub]"
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```
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The package resolves a model name to a revision-pinned ONNX file, verifies its size and SHA-256,
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and reuses the local Hugging Face cache on subsequent calls:
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```python
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from lvface import FaceRecognizer
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recognizer = FaceRecognizer("LVFace-T_Glint360K")
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embedding = recognizer.embed("portrait.jpg")
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```
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The package registry must reference this repository's Hugging Face repository ID and a pinned
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commit revision. Do not use `main` as the production revision.
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## Direct download
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```python
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from huggingface_hub import hf_hub_download
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path = hf_hub_download(
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repo_id="Mowshon/lvface-weights",
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subfolder="LVFace-T_Glint360K",
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filename="LVFace-T_Glint360K.onnx",
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revision="PINNED_COMMIT_SHA",
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)
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```
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Replace the placeholder repository ID and revision above after creating the mirror.
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## Provenance and integrity
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The checksums in the file table match the Git LFS SHA-256 values published by the official
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repository at the source revision. Consumers should pin this mirror to an immutable commit and
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validate both file size and SHA-256 before loading a model.
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## License
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The upstream repository contains conflicting license statements. Its model-card metadata labels
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the repository as MIT and it includes an MIT license for code, while the prose states that the
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downloaded models are for non-commercial research purposes only.
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This mirror does not resolve that conflict and does not grant any additional rights. Users and
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redistributors must review the
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[official model card](https://huggingface.co/bytedance-research/LVFace/blob/main/README.md#license)
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and obtain clarification or permission from the LVFace authors when needed. `LICENSE_CODE.txt`
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applies to upstream code and must not be interpreted as a separate license grant for the model
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weights.
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## Required citation
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Use of these weights must include citation of the original LVFace work:
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```bibtex
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@inproceedings{you2025lvface,
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title={{LVFace}: Progressive Cluster Optimization for Large Vision Models in Face Recognition},
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author={You, Jinghan and Li, Shanglin and Sun, Yuanrui and Wei, Jiangchuan and Guo, Mingyu and Feng, Chao and Ran, Jiao},
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booktitle={ICCV},
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year={2025}
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}
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```
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Paper: [arXiv:2501.13420](https://arxiv.org/abs/2501.13420)
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## Original resources
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- [Official LVFace model repository](https://huggingface.co/bytedance-research/LVFace)
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- [Official LVFace source repository](https://github.com/bytedance/LVFace)
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- [LVFace paper](https://arxiv.org/abs/2501.13420)
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