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arXiv · 2509.10569

MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models

Leyi Pan·Sheng Guan·Zheyu Fu·Luyang Si·Huan Wang·Zian Wang·Hanqian Li·Xuming Hu·Irwin King·Philip S. Yu·Aiwei Liu·Lijie Wen
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Abstract

We introduce MarkDiffusion, an open-source Python toolkit for generative watermarking of latent diffusion models. It comprises three key components: a unified implementation framework for streamlined watermarking algorithm integrations and user-friendly interfaces; a mechanism visualization suite that intuitively showcases added and extracted watermark patterns to aid public understanding; and a comprehensive evaluation module offering standard implementations of 24 tools across three essential aspects - detectability, robustness, and output quality - plus 8 automated evaluation pipelines. Through MarkDiffusion, we seek to assist researchers, enhance public awareness and engagement in generative watermarking, and promote consensus while advancing research and applications.

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Leyi Pan, Sheng Guan, Zheyu Fu, Luyang Si, Huan Wang, Zian Wang, Hanqian Li, Xuming Hu, Irwin King, Philip S. Yu, Aiwei Liu, Lijie Wen. 2025-09-11. MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models. https://arxiv.org/abs/2509.10569

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