ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image
  Generation
Recent advances in multimodal generative models have unlocked photorealistic,
instruction-aligned image generation, yet leading systems like GPT-4o-Image
remain proprietary and inaccessible. To democratize these capabilities, we
present ShareGPT-4o-Image, the first dataset comprising 45K text-to-image and
46K text-and-image-to-image data, all synthesized using GPT-4o's image
generation capabilities for distilling its advanced image generation abilities.
Leveraging this dataset, we develop Janus-4o, a multimodal large language model
capable of both text-to-image and text-and-image-to-image generation. Janus-4o
not only significantly improves text-to-image generation over its predecessor,
Janus-Pro, but also newly supports text-and-image-to-image generation. Notably,
it achieves impressive performance in text-and-image-to-image generation from
scratch, using only 91K synthetic samples and 6 hours of training on an 8
A800-GPU machine. We hope the release of ShareGPT-4o-Image and Janus-4o will
foster open research in photorealistic, instruction-aligned image generation.
685a0ac20e4ad7e2197584ea
Junying Chen
685a0ac20e4ad7e2197584eb
Zhenyang Cai
685a0ac20e4ad7e2197584ec
Pengcheng Chen
claimed_verified
2025-06-26T09:33:07.093Z
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/avatars/30ee8ce21f95423db8ced7db4df3112b.svg
Pengcheng Chen
user
cppppppc
685a0ac20e4ad7e2197584ed
Shunian Chen
685a0ac20e4ad7e2197584ee
Ke Ji
685a0ac20e4ad7e2197584ef
Xidong Wang
685a0ac20e4ad7e2197584f0
Yunjin Yang
685a0ac20e4ad7e2197584f1
Benyou Wang
ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image
  Generation
Recent advances in multimodal generative models have unlocked photorealistic,
instruction-aligned image generation, yet leading systems like GPT-4o-Image
remain proprietary and inaccessible. To democratize these capabilities, we
present ShareGPT-4o-Image, the first dataset comprising 45K text-to-image and
46K text-and-image-to-image data, all synthesized using GPT-4o's image
generation capabilities for distilling its advanced image generation abilities.
Leveraging this dataset, we develop Janus-4o, a multimodal large language model
capable of both text-to-image and text-and-image-to-image generation. Janus-4o
not only significantly improves text-to-image generation over its predecessor,
Janus-Pro, but also newly supports text-and-image-to-image generation. Notably,
it achieves impressive performance in text-and-image-to-image generation from
scratch, using only 91K synthetic samples and 6 hours of training on an 8
A800-GPU machine. We hope the release of ShareGPT-4o-Image and Janus-4o will
foster open research in photorealistic, instruction-aligned image generation.
ShareGPT-4o-Image and Janus-4o enable open research in photorealistic, instruction-aligned image generation through a large dataset and multimodal model.
multimodal generative models text-to-image text-and-image-to-image photorealistic instruction-aligned dataset large language model synthetic samples