RingID presents a robust diffusion image watermarking approach to imprint multiple keys. It bases on the training-free approach Tree-Ring_[1], but significantly enhances in both watermark verification and multi-key identification.

• PyTorch == 1.13.0
• transformers == 4.23.1
• diffusers == 0.11.1
• datasets

Note: higher diffusers version may not be compatible with the DDIM inversion code.

python verify.py --run_name verification --online

python identify.py --run_name identification --online

@article{ci2024ringid,
  title={RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification},
  author={Ci, Hai and Yang, Pei and Song, Yiren and Shou, Mike Zheng},
  journal={arXiv preprint arXiv:2404.14055},
  year={2024}
}

[1] Tree-ring watermarks: Fingerprints for diffusion images that are invisible and robust