ONNX Model Zoo

BestWishYsh/OpenS2V-Weight

By BestWishYsh · ↓ 23 · ♥ 2 · Updated 2025-06-03

What's in this repo

This page lists the files in BestWishYsh/OpenS2V-Weight, including 1k3d68.onnx, 2d106det.onnx, genderage.onnx and more.

  • 20 ONNX models (.onnx files)
  • 30 files, including 20 .onnx, 3 .pth, 2 .yaml, 1 .ckpt, 1 .md, 1 .bin
  • Last updated 2025-06-03

ONNX files

File Size Download
face_extractor/models/antelopev2/1k3d68.onnx — Download
face_extractor/models/antelopev2/2d106det.onnx — Download
face_extractor/models/antelopev2/genderage.onnx — Download
face_extractor/models/antelopev2/glintr100.onnx — Download
face_extractor/models/antelopev2/scrfd_10g_bnkps.onnx — Download
face_extractor/models/buffalo_l/1k3d68.onnx — Download
face_extractor/models/buffalo_l/2d106det.onnx — Download
face_extractor/models/buffalo_l/det_10g.onnx — Download
face_extractor/models/buffalo_l/genderage.onnx — Download
face_extractor/models/buffalo_l/w600k_r50.onnx — Download

Showing 10 of 20 .onnx files — see the full file list on the right.

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

OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation

If you like our project, please give us a star ⭐ on GitHub for the latest update.

✨ Summary

  1. New S2V Benchmark.
    • We introduce OpenS2V-Eval for comprehensive evaluation of S2V models and propose three new automatic metrics aligned with human perception.
  2. New Insights for S2V Model Selection.
    • Our evaluations using OpenS2V-Eval provide crucial insights into the strengths and weaknesses of various subject-to-video generation models.
  3. Million-Scale S2V Dataset.
    • We create OpenS2V-5M, a dataset with 5.1M high-quality regular data and 0.35M Nexus Data, the latter is expected to address the three core challenges of subject-to-video.

💡 Description

✏️ Citation

If you find our paper and code useful in your research, please consider giving a star and citation.

@article{yuan2025opens2v,
  title={OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation},
  author={Yuan, Shenghai and He, Xianyi and Deng, Yufan and Ye, Yang and Huang, Jinfa and Lin, Bin and Luo, Jiebo and Yuan, Li},
  journal={arXiv preprint arXiv:2505.20292},
  year={2025}
}

Model info

text-to-video diffusers
diffusers onnx text-to-video en dataset:BestWishYsh/OpenS2V-Eval dataset:BestWishYsh/OpenS2V-5M arxiv:2505.20292 base_model:Wan-AI/Wan2.1-T2V-14B base_model:quantized:Wan-AI/Wan2.1-T2V-14B license:apache-2.0 region:us
↓ 23 ♥ 2

Created: 2025-05-19

Updated: 2025-06-03

View on Hugging Face

Files (30)

.gitattributes
LaMa/big-lama/config.yaml
LaMa/big-lama/models/best.ckpt
LaMa/default.yaml
README.md
aesthetic-model.pth
face_extractor/models/antelopev2/1k3d68.onnx ONNX
face_extractor/models/antelopev2/2d106det.onnx ONNX
face_extractor/models/antelopev2/genderage.onnx ONNX
face_extractor/models/antelopev2/glintr100.onnx ONNX
face_extractor/models/antelopev2/scrfd_10g_bnkps.onnx ONNX
face_extractor/models/buffalo_l/1k3d68.onnx ONNX
face_extractor/models/buffalo_l/2d106det.onnx ONNX
face_extractor/models/buffalo_l/det_10g.onnx ONNX
face_extractor/models/buffalo_l/genderage.onnx ONNX
face_extractor/models/buffalo_l/w600k_r50.onnx ONNX
face_extractor/models/buffalo_m/1k3d68.onnx ONNX
face_extractor/models/buffalo_m/2d106det.onnx ONNX
face_extractor/models/buffalo_m/det_2.5g.onnx ONNX
face_extractor/models/buffalo_m/genderage.onnx ONNX
face_extractor/models/buffalo_m/w600k_r50.onnx ONNX
face_extractor/models/buffalo_s/1k3d68.onnx ONNX
face_extractor/models/buffalo_s/2d106det.onnx ONNX
face_extractor/models/buffalo_s/det_500m.onnx ONNX
face_extractor/models/buffalo_s/genderage.onnx ONNX
face_extractor/models/buffalo_s/w600k_mbf.onnx ONNX
glint360k_curricular_face_r101_backbone.bin
groundingdino_swint_ogc.pth
sam2.1_hiera_large.pt
yolo_world_v2_l_image_prompt_adapter-719a7afb.pth

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