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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
Visual Question AnsweringGQA
Accuracy62
963
Object Hallucination EvaluationPOPE--
935
Text-based Visual Question AnsweringTextVQA
Accuracy45.6
496
Text-to-Image GenerationGenEval
Overall Score80
467
Multimodal UnderstandingMM-Vet
MM-Vet Score50
418
Multimodal UnderstandingMMBench--
367
Mathematical ReasoningMathVista
Score42.5
322
OCR EvaluationOCRBench
Score59
296
Multimodal ReasoningMM-Vet
MM-Vet Score39.8
281
Text-to-Image GenerationGenEval
GenEval Score80
277
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Other info

Code

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