MuLan is an open-source multi-language diffusion model designed to provide diffusion model support for over 110 languages without additional training. Through adaptation techniques, this model enables diffusion models, which typically require massive training data and computational resources, to quickly adapt to new language environments, significantly expanding the application scope and linguistic diversity of diffusion models. The main advantages of MuLan include support for multiple languages, optimized memory usage, and the provision of rich resources for researchers and developers through the release of technical reports and code models.