DeepSeek claims its Janus-Pro-7B outperforms existing models such as OpenAI's DALL-E and Stable Diffusion. In a bold move that mirrors its approach with DeepSeek-R1, the company has made Janus-Pro-7B free and open source.

DeepSeek just dropped a new open-source multmodal AI model, Janus-Pro-7B. It is MIT opensource license. It’s multimodal (can generate images) and beats OpenAI’s DALL-E 3 and Stable Diffusion across GenEval and DPG-Bench benchmarks. This comes on top of all the R1 hype.

Now DeepSeek has released Janus Pro, an image generating model the company claims that has been engineered for versatility and efficiency. It is and advanced version based on the Janus model, released last year, that performs text-to-image creation that scales up the training data and increases the model size.

Barely a week after DeepSeek's R1 LLM turned Silicon Valley on its head, the Chinese outfit is back with a new release it claims is ready to challenge OpenAI's DALL-E 3.… Released on Hugging Face on Monday amid an ongoing cyberattack,

DeepSeek's new open-source AI model surpassed Stability AI and Microsoft-backed OpenAI's models in benchmarks for image generation, the Chinese startup said in a technical report on Monday.

The Chinese startup has released an image-generation model called Janus-Pro, aiming to take on US rivals DALL-E 3 and Stable Diffusion. The multimodal model, which generates images from text prompts, is said to outperform competing services in areas such as image quality and accuracy.

OpenAI says it has uncovered evidence that Chinese AI startup DeepSeek used its proprietary models to train a competing open-source