The article provides a detailed guide on how to use Hunyuan-DiT, including setting up the environment, downloading pretrained models, and running inference using Gradio or command line. It also provides a comparison of Hunyuan-DiT with other models, showing that it sets a new state-of-the-art in Chinese-to-image generation. The article concludes with BibTeX references for further research and a star history chart showing the popularity of the project.
Key takeaways:
- Hunyuan-DiT is a powerful multi-resolution diffusion transformer developed by Tencent, with a fine-grained understanding of both English and Chinese.
- The model is capable of multi-turn text-to-image generation, allowing users to create images from text prompts in a conversational manner.
- The repository includes PyTorch model definitions, pre-trained weights, and inference/sampling code, and the developers plan to release more features and versions in the future.
- According to professional human evaluators, Hunyuan-DiT sets a new state-of-the-art in Chinese-to-image generation compared with other open-source models.