Maintainer: IDEA-CCNL

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Last updated 5/28/2024


Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

The Taiyi-Stable-Diffusion-XL-3.5B is a powerful text-to-image model developed by IDEA-CCNL that builds upon the foundations of models like Google's Imagen and OpenAI's DALL-E 3. Unlike previous Chinese text-to-image models, which had moderate effectiveness, Taiyi-XL focuses on enhancing Chinese text-to-image generation while retaining English proficiency. This addresses the unique challenges of bilingual language processing.

The training of the Taiyi-Diffusion-XL model involved several key stages. First, a high-quality dataset of image-text pairs was created, with advanced vision-language models generating accurate captions to enrich the dataset. Then, the model expanded the vocabulary and position encoding of a pre-trained English CLIP model to better support Chinese and longer texts. Finally, based on Stable-Diffusion-XL, the text encoder was replaced, and multi-resolution, aspect-ratio-variant training was conducted on the prepared dataset.

Similar models include the Taiyi-Stable-Diffusion-1B-Chinese-v0.1, which was the first open-source Chinese Stable Diffusion model, and AltDiffusion, a bilingual text-to-image diffusion model developed by BAAI.

Model inputs and outputs


  • Prompt: A text description of the desired image, which can be in English or Chinese.


  • Image: A visually compelling image generated based on the input prompt.


The Taiyi-Stable-Diffusion-XL-3.5B model excels at generating high-quality, detailed images from both English and Chinese text prompts. It can create a wide range of content, from realistic scenes to fantastical illustrations. The model's bilingual capabilities make it a valuable tool for artists and creators working with both languages.

What can I use it for?

The Taiyi-Stable-Diffusion-XL-3.5B model can be used for a variety of creative and professional applications. Artists and designers can leverage the model to generate concept art, illustrations, and other digital assets. Educators and researchers can use it to explore the capabilities of text-to-image generation and its applications in areas like art, design, and language learning. Developers can integrate the model into creative tools and applications to empower users with powerful image generation capabilities.

Things to try

One interesting aspect of the Taiyi-Stable-Diffusion-XL-3.5B model is its ability to generate high-resolution, long-form images. Try experimenting with prompts that describe complex scenes or panoramic views to see the model's capabilities in this area. You can also explore the model's performance on specific types of images, such as portraits, landscapes, or fantasy scenes, to understand its strengths and limitations.

This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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