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Kuaishou Open-Sources the Ketu Image Generation Model

Kuaishou has also open-sourced the Ketu image generation model, which employs the same architecture as SDXL for training but uses a different noise scheduling program and the GLM model (instead of CLIP). The model boasts high quality and performance, comparable to Playground V2.5, but with much stronger prompt comprehension, and it supports both Chinese and English prompts, as well as the direct generation of Chinese text within images.

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Kuaishou has demonstrated formidable innovation strength in the field of technology. Notably, Kuaishou has open-sourced the Ketu image generation model. This model is trained using the same architecture as SDXL, which provides a solid foundation for its performance. However, it also has its unique features, such as a different noise scheduling program and the use of the GLM model instead of the traditional CLIP.

In terms of actual performance, the model's quality and performance are exceptionally good, even rivaling Playground V2.5. Moreover, it has a significant advantage in prompt comprehension, surpassing Playground V2.5 by a large margin. The model supports both Chinese and English prompts, offering great convenience to users from different linguistic backgrounds. Whether creators are accustomed to using Chinese or English, they can easily utilize this model for image generation.

What stands out even more is the model's support for the direct generation of Chinese text within images. This feature brings great convenience to Chinese users, allowing them to express specific information and themes more intuitively in images. Whether it's adding titles, annotations to pictures, or creating artworks with Chinese elements, this feature plays an important role. In summary, Kuaishou's open-sourced Ketu image generation model, with its outstanding performance, powerful prompt comprehension ability, and unique Chinese text generation capability, brings new vitality and possibilities to the field of image generation.