DeepSeek has launched Janus Pro, a multimodal AI model that combines vision and image generation capabilities in a compact, open-source framework with 7 billion parameters, outperforming other popular models. The video showcases its functionalities, including interpreting memes and converting diagrams to code, while also highlighting its image generation capabilities and encouraging viewers to explore the model further.
DeepSeek has recently launched a groundbreaking multimodal AI model called Janus Pro, which combines vision and image generation capabilities within a single framework. This innovative model allows users to input images and receive detailed answers about them, as well as generate new images based on text prompts. Remarkably, Janus Pro is a relatively compact model with 7 billion parameters, making it accessible for users to run on their own computers. The model is completely open-source and free, with open weights available for anyone interested in utilizing its capabilities.
In terms of performance, DeepSeek claims that Janus Pro outperforms other popular models such as Stability AI’s models and OpenAI’s DALL-E. The video showcases Janus Pro’s performance metrics, highlighting its superior capabilities compared to other models in the same category. The presenter notes that Janus Pro is currently the number one trending repository on GitHub, indicating its popularity and the excitement surrounding its release. DeepSeek has established itself as a leader in the open-source AI space, with all five of the top trending repositories on GitHub attributed to the company.
The presenter demonstrates Janus Pro’s functionalities by testing its vision capabilities. For instance, they input a meme and ask the model to explain it. The model successfully interprets the meme, providing a detailed breakdown of its visual elements and the underlying message. Additionally, the presenter tests the model’s ability to convert a diagram into executable Python code, which it accomplishes quickly and accurately. The model also processes a screenshot of an Excel document, converting it into a CSV format with impressive speed and accuracy.
While the model performs well in many instances, there are moments where its interpretations fall short. For example, when asked to explain another meme, the model’s response is not entirely accurate, showcasing that it still has room for improvement. Nevertheless, the overall performance of Janus Pro is commendable, especially considering its size and efficiency. The presenter emphasizes that the model’s capabilities are impressive for a 7 billion parameter model, highlighting its potential for various applications.
Finally, the video transitions to Janus Pro’s image generation capabilities, where the presenter inputs various prompts to generate images. While the results are described as good, they may not be groundbreaking, yet the convenience of running the model locally is a significant advantage. The presenter encourages viewers to explore Janus Pro and other DeepSeek models on Vulture, a cloud service that provides powerful computing resources. They also offer a promotional code for viewers to receive credits for using Vulture, concluding the video with a call to action for likes and subscriptions.