This repository introduces an invisible watermarking technique called Gaussian Shading, specifically designed for integration with ComfyUI. It enables users to seamlessly embed custom watermark messages into their image generation processes.
- Provides a straightforward plug-and-play solution for watermark embedding.
- Supports a complete workflow including watermark embedding, image generation, and extraction.
- Features multiple implementations of the Gaussian Shading method for effective watermarking.
Context
The Comfyui-GaussianShadingWatermark tool is an unofficial extension that implements an invisible watermarking method known as Gaussian Shading for use within the ComfyUI framework. Its primary purpose is to allow users to embed and later extract custom watermark messages from generated images, thereby enhancing image ownership and authenticity.
Key Features & Benefits
This tool offers easy integration into existing ComfyUI workflows, requiring minimal configuration to set up. Users can simply adjust the watermark message parameter to customize their watermarks, while the provided example workflows demonstrate the entire process from embedding to extraction, making it accessible for users of varying expertise.
Advanced Functionalities
The tool employs the Gaussian Shading method, which is designed to be lossless, meaning that the quality of the image remains intact even after the watermark is applied. This advanced capability ensures that the visual integrity of the generated images is preserved while still embedding the watermark.
Practical Benefits
By incorporating this watermarking tool into ComfyUI, users gain enhanced control over their image outputs, allowing for the protection of intellectual property. The complete workflow provided facilitates a streamlined process, improving efficiency in managing watermarks without compromising image quality.
Credits/Acknowledgments
This tool is based on research presented in the paper "Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models," which has been accepted by CVPR 2024. The repository is maintained by contributors who have adapted the method for practical use within the ComfyUI environment.