Seedream 3.0 Technical Report
Yu Gao, Lixue Gong, Qiushan Guo, Xiaoxia Hou, Zhichao Lai, Fanshi Li, Liang Li, Xiaochen Lian, Chao Liao, Liyang Liu, Wei Liu, Yichun Shi, Shiqi Sun, Yu Tian, Zhi Tian, Peng Wang, Rui Wang, Xuanda Wang, Xun Wang, Ye Wang, Guofeng Wu, Jie Wu
2025-04-16
Summary
This paper talks about Seedream 3.0, a new version of an AI system that creates images from text in both Chinese and English, making the pictures look better and appear faster than before.
What's the problem?
The problem is that earlier image generation models struggled to handle both Chinese and English instructions equally well, and sometimes the images they created weren't very clear or visually appealing. These models were also slower, which made them less useful for people who need quick and high-quality results.
What's the solution?
To fix these issues, the researchers improved the way the model is trained by using better data and smarter training techniques. They also made changes after training to make the generated images look more attractive. As a result, Seedream 3.0 can now create higher quality images from both Chinese and English text, and it does this much faster than previous versions.
Why it matters?
This matters because it helps artists, designers, and anyone who needs to create images from text in different languages get better results more quickly. It also shows how AI can be improved to work well across languages, making creative tools more accessible and useful for people all over the world.
Abstract
Seedream 3.0 improves Chinese-English bilingual image generation by enhancing data training, pre-training techniques, and post-training aesthetics, resulting in higher visual quality and faster image generation.