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

About

In this work, we introduce Janus-Pro, an advanced version of the previous work Janus. Specifically, Janus-Pro incorporates (1) an optimized training strategy, (2) expanded training data, and (3) scaling to larger model size. With these improvements, Janus-Pro achieves significant advancements in both multimodal understanding and text-to-image instruction-following capabilities, while also enhancing the stability of text-to-image generation. We hope this work will inspire further exploration in the field. Code and models are publicly available.

Xiaokang Chen, Zhiyu Wu, Xingchao Liu, Zizheng Pan, Wen Liu, Zhenda Xie, Xingkai Yu, Chong Ruan• 2025

Related benchmarks

TaskDatasetResultRank
Object Hallucination EvaluationPOPE
Accuracy87.4
2056
Visual Question AnsweringGQA
Accuracy62
1445
Text-based Visual Question AnsweringTextVQA
Accuracy45.6
984
Text-to-Image GenerationGenEval
Overall Score80
914
Multimodal UnderstandingMMBench
Accuracy79.2
887
Multimodal UnderstandingMM-Vet
MM-Vet Score50
664
Visual Question AnsweringChartQA--
620
Text-to-Image GenerationGenEval
Overall Score80
581
Multimodal UnderstandingSEED-Bench
Accuracy72.1
571
Mathematical ReasoningMathVista
Score42.5
566
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