MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models
This toolkit addresses the need for standardized tools in generative watermarking for researchers and the public, though it is incremental as it builds on existing watermarking concepts.
The authors introduced MarkDiffusion, an open-source toolkit for watermarking latent diffusion models that provides a unified implementation framework, visualization tools, and comprehensive evaluation modules with 24 tools and 8 automated pipelines. The toolkit aims to assist researchers and enhance public engagement in generative watermarking.
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.