ONNX Model Zoo

lixinyizju/moda

By lixinyizju · ↓ 0 · ♥ 13 · Updated 2025-08-08

What's in this repo

This page lists the files in lixinyizju/moda, including Kim_Vocal_2.onnx, landmark.onnx, 2d106det.onnx and more.

  • 9 ONNX models (.onnx files)
  • 50 files, including 9 .onnx, 8 .pth, 6 .lock, 6 .metadata, 5 .json, 2 .md
  • Repository size ~3.9 GB
  • Last updated 2025-08-08

ONNX files

File Size Download
audio/audio_separator/Kim_Vocal_2.onnx 63.7 MB Download
decode/v1/first_stage/landmark.onnx 109 MB Download
decode/v1/insightface/models/buffalo_l/2d106det.onnx 4.8 MB Download
decode/v1/insightface/models/buffalo_l/det_10g.onnx 16.1 MB Download
decode/v1/insightface/models/models/buffalo_l/1k3d68.onnx 137 MB Download
decode/v1/insightface/models/models/buffalo_l/2d106det.onnx 4.8 MB Download
decode/v1/insightface/models/models/buffalo_l/det_10g.onnx 16.1 MB Download
decode/v1/insightface/models/models/buffalo_l/genderage.onnx 1.3 MB Download
decode/v1/insightface/models/models/buffalo_l/w600k_r50.onnx 166 MB Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

MoDA: Multi-modal Diffusion Architecture for Talking Head Generation

Authors

Xinyang Li1,2,  Gen Li2,  Zhihui Lin1,3,  Yichen Qian1,3 †,  Gongxin Yao2,  Weinan Jia1,  Aowen Wang1,  Weihua Chen1,3,  Fan Wang1,3

1Xunguang Team, DAMO Academy, Alibaba Group    2Zhejiang University    3Hupan Lab

†Corresponding authors: yichen.qyc@alibaba-inc.com, l_xyang@zju.edu.cn

[![](https://img.shields.io/badge/Project-Page-blue)](https://lixinyyang.github.io/MoDA.github.io/)
[![](https://img.shields.io/badge/Paper-Arxiv-red)](https://arxiv.org/abs/2507.03256)

📂 Updates

  • [2025.08.08] 🔥 We release our inference codes and models.

⚙️ Installation

Create environment:

# 1. Create base environment
conda create -n moda python=3.10 -y
conda activate moda 

# 2. Install requirements
pip install -r requirements.txt

# 3. Install ffmpeg
sudo apt-get update  
sudo apt-get install ffmpeg -y

🚀 Inference

python src/models/inference/moda_test.py  --image_path src/examples/reference_images/6.jpg  --audio_path src/examples/driving_audios/5.wav 

⚖️ Disclaimer

This project is intended for academic research, and we explicitly disclaim any responsibility for user-generated content. Users are solely liable for their actions while using the generative model. The project contributors have no legal affiliation with, nor accountability for, users' behaviors. It is imperative to use the generative model responsibly, adhering to both ethical and legal standards.

🙏🏻 Acknowledgements

We would like to thank the contributors to the LivePortrait, and echomimic,JoyVasa,Ditto, Open Facevid2vid, InsightFace, X-Pose, DiffPoseTalk, Hallo, wav2vec 2.0, Chinese Speech Pretrain, Q-Align, Syncnet, and VBench repositories, for their open research and extraordinary work. If we missed any open-source projects or related articles, we would like to complement the acknowledgement of this specific work immediately.

📑 Citation

If you use MoDA in your research, please cite:

@article{li2025moda,
  title={MoDA: Multi-modal Diffusion Architecture for Talking Head Generation},
  author={Li, Xinyang and Li, Gen and Lin, Zhihui and Qian, Yichen and Yao, GongXin and Jia, Weinan and Chen, Weihua and Wang, Fan},
  journal={arXiv preprint arXiv:2507.03256},
  year={2025}
}

Model info

onnx arxiv:2507.03256 region:us
↓ 0 ♥ 13

Created: 2025-08-08

Updated: 2025-08-08

View on Hugging Face

Files (50)

.gitattributes
README.md
audio/.DS_Store
audio/audio_separator/Kim_Vocal_2.onnx 63.7 MB ONNX
audio/audio_separator/download_checks.json
audio/audio_separator/mdx_model_data.json
audio/audio_separator/vr_model_data.json
audio/chinese-hubert-base/.cache/huggingface/.gitignore
audio/chinese-hubert-base/.cache/huggingface/download/.gitattributes.lock
audio/chinese-hubert-base/.cache/huggingface/download/.gitattributes.metadata
audio/chinese-hubert-base/.cache/huggingface/download/README.md.lock
audio/chinese-hubert-base/.cache/huggingface/download/README.md.metadata
audio/chinese-hubert-base/.cache/huggingface/download/chinese-hubert-base-fairseq-ckpt.pt.lock
audio/chinese-hubert-base/.cache/huggingface/download/chinese-hubert-base-fairseq-ckpt.pt.metadata
audio/chinese-hubert-base/.cache/huggingface/download/config.json.lock
audio/chinese-hubert-base/.cache/huggingface/download/config.json.metadata
audio/chinese-hubert-base/.cache/huggingface/download/preprocessor_config.json.lock
audio/chinese-hubert-base/.cache/huggingface/download/preprocessor_config.json.metadata
audio/chinese-hubert-base/.cache/huggingface/download/pytorch_model.bin.lock
audio/chinese-hubert-base/.cache/huggingface/download/pytorch_model.bin.metadata
audio/chinese-hubert-base/.gitattributes
audio/chinese-hubert-base/README.md
audio/chinese-hubert-base/chinese-hubert-base-fairseq-ckpt.pt
audio/chinese-hubert-base/config.json
audio/chinese-hubert-base/preprocessor_config.json
audio/chinese-hubert-base/pytorch_model.bin
decode/.DS_Store
decode/v1/.DS_Store
decode/v1/first_stage/.DS_Store
decode/v1/first_stage/base_models/motion_extractor.pth
decode/v1/first_stage/base_models/spade_generator.pth
decode/v1/first_stage/base_models/warping_module.pth
decode/v1/first_stage/landmark.onnx 109 MB ONNX
decode/v1/first_stage/retargeting_models/stitching_retargeting_module.pth
decode/v1/insightface/.DS_Store
decode/v1/insightface/models/.DS_Store
decode/v1/insightface/models/buffalo_l/2d106det.onnx 4.8 MB ONNX
decode/v1/insightface/models/buffalo_l/det_10g.onnx 16.1 MB ONNX
decode/v1/insightface/models/models/.DS_Store
decode/v1/insightface/models/models/buffalo_l/1k3d68.onnx 137 MB ONNX
decode/v1/insightface/models/models/buffalo_l/2d106det.onnx 4.8 MB ONNX
decode/v1/insightface/models/models/buffalo_l/det_10g.onnx 16.1 MB ONNX
decode/v1/insightface/models/models/buffalo_l/genderage.onnx 1.3 MB ONNX
decode/v1/insightface/models/models/buffalo_l/w600k_r50.onnx 166 MB ONNX
face/.DS_Store
face/face-parsing/79999_iter.pth
face/face-parsing/resnet18-5c106cde.pth
face/face_landmarker_v2_with_blendshapes.task
moda/net-200.pth

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