MuLan

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Introduce：

MuLan is an open source multilingual diffusion model designed to provide diffusion model support for over 110 languages that can be used without additional training. By means of adaptation technology, the diffusion model, which originally needs a lot of training data and computing resources, can quickly adapt to the new language environment, greatly expanding the application range and language diversity of the diffusion model. Key benefits of MuLan include support for multiple languages, optimized memory usage, and a rich resource for researchers and developers through technical reports and code model publishing.

Stakeholders:
The MuLan model is suitable for researchers, developers, and enterprise users who need to handle multilingual image generation tasks. It is convenient for users who lack language-specific training data or who want to quickly deploy multilingual image generation systems. In addition, for the education and business sectors, MuLan can be used as a teaching tool or part of a business solution to help users overcome language barriers and achieve multilingual generation of image content.
Usage Scenario Examples:

• The researchers used the MuLan model to study multilingual image generation
• The developers used the MuLan model to quickly deploy a multilingual image generation application
• Enterprise users integrate MuLan into their products, providing customers with customized multilingual image generation services

The features of the tool:

• Supports diffusion model adaptation in over 110 languages
• Optimize memory usage to improve operational efficiency
• Publish technical reports and code models to facilitate research and development
• Support basic models such as Stable Diffusion 1.5, 2.1, XL, Pixart-Alliha/Sigma
• Support downstream models such as ControlNet, LCM, LoRA, and fine-tuning models
• Provide Gradio demos for quick user experience
• Model adapters and full fine-tuning models are available on Huggingface

Steps for Use:

• Visit MuLan’s GitHub page for the latest information and download links
• Read the USAGE.md file to learn how to install and use the MuLan model
• Select the appropriate base model or downstream model for adaptation as required
• Demonstrate the functionality of the MuLan model with Gradio
• Find and use the model adapters and fine-tuning models provided by MuLan on Huggingface
• Depending on the specific application scenario, write or adjust the code to achieve the desired image generation effect
• Participate in community discussions, get help and feedback, and optimize the use of the model

Tool’s Tabs: Multilingual, image generation