Official Gradio demo for
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training.
🔥 SeedVR2 is a one-step image and video restoration algorithm for real-world and AIGC content.
ℹ️ Output FPS and total duration are automatically matched to the input video (full length, no frame cap).
| Upload image or video | Seed | Model Size | Output Resolution Mode | Preset Resolution | Upscale Factor (e.g. 2 = 2× width & height) |
|---|
If you find SeedVR helpful, please ⭐ the GitHub repository:
Notice
This demo supports up to 720p and 121 frames for videos or 2k images. For other use cases (image restoration beyond 2K, video resolutions beyond 720p, etc), check the GitHub repo.
Limitations
May fail on heavy degradations or small-motion AIGC clips, causing oversharpening or poor restoration.
Citation
@article{wang2025seedvr2,
title={SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training},
author={Wang, Jianyi and Lin, Shanchuan and Lin, Zhijie and Ren, Yuxi and Wei, Meng and Yue, Zongsheng and Zhou, Shangchen and Chen, Hao and Zhao, Yang and Yang, Ceyuan and Xiao, Xuefeng and Loy, Chen Change and Jiang, Lu},
booktitle={arXiv preprint arXiv:2506.05301},
year={2025}
}
@inproceedings{wang2025seedvr,
title={SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration},
author={Wang, Jianyi and Lin, Zhijie and Wei, Meng and Zhao, Yang and Yang, Ceyuan and Loy, Chen Change and Jiang, Lu},
booktitle={CVPR},
year={2025}
}
License
Licensed under the Apache 2.0 License.
Contact
Email: iceclearwjy@gmail.com
