Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

In this episode, we discuss Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling by The authors of the paper are: – Xiaokang Chen – Zhiyu Wu – Xingchao Liu – Zizheng Pan – Wen Liu – Zhenda Xie – Xingkai Yu – Chong Ruan. The paper introduces Janus-Pro, an enhanced version of the original Janus model that features an optimized training strategy, expanded training data, and a larger model size. These improvements lead to significant advancements in multimodal understanding, text-to-image instruction-following capabilities, and the stability of text-to-image generation. Additionally, the authors have made the code and models publicly available to encourage further research and exploration in the field.