All Resources
=============

Here are all the available resources for MarkDiffusion:

Home
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.. image:: https://img.shields.io/badge/Home-5F259F?style=for-the-badge&logo=homepage&logoColor=white
   :target: https://generative-watermark.github.io/
   :alt: Home

Official project homepage with comprehensive information and demonstrations.

Paper
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.. image:: https://img.shields.io/badge/Paper-A42C25?style=for-the-badge&logo=arxiv&logoColor=white
   :target: https://arxiv.org/abs/2509.10569
   :alt: Paper

Research paper detailing the methodology and evaluation of MarkDiffusion.

Models
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.. image:: https://img.shields.io/badge/Models-%23FFD14D?style=for-the-badge&logo=huggingface&logoColor=black
   :target: https://huggingface.co/Generative-Watermark-Toolkits
   :alt: Models

Pre-trained models and checkpoints hosted on Hugging Face.

Google Colab
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.. image:: https://img.shields.io/badge/Google--Colab-%23D97700?style=for-the-badge&logo=Google-colab&logoColor=white
   :target: https://colab.research.google.com/drive/1N1C9elDAB5zwF4FxKKYMCqR3eSpCSqAW?usp=sharing
   :alt: Colab

Interactive notebook to try MarkDiffusion without local installation.

PyPI Package
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.. image:: https://img.shields.io/badge/PYPI-%23193440?style=for-the-badge&logo=pypi&logoColor=%233775A9
   :target: https://pypi.org/project/markdiffusion
   :alt: PYPI

Python package available for easy installation via pip.

Conda-Forge
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.. image:: https://img.shields.io/badge/Conda--Forge-%23000000?style=for-the-badge&logo=condaforge&logoColor=%23FFFFFF
   :target: https://github.com/conda-forge/markdiffusion-feedstock
   :alt: CONDA-FORGE

Conda package available for installation in conda environments.