Janus-Pro: DeepSeek’s Leap Forward in Text-to-Image AI Generation

In the rapidly evolving field of artificial intelligence, DeepSeek has consistently pushed the boundaries of innovation. Following the success of their R1 model, which excelled in text generation, code programming, and data reasoning, DeepSeek identified a gap: the absence of text-to-image generation capabilities. Addressing this, they had previously introduced a multimodal model named Janus. Building upon this foundation, on January 27, 2025, DeepSeek unveiled Janus-Pro, an enhanced version designed to revolutionise multimodal AI applications.

Introducing Janus-Pro

Janus-Pro is DeepSeek’s latest open-source multimodal model, specifically engineered for text-to-image generation. In comparative tests among similar models, Janus-Pro has demonstrated outstanding performance. The Pro version introduces several significant improvements over its predecessor, Janus:

• Optimized Training Strategy: The model employs a refined training approach that enhances learning efficiency and effectiveness.
• Expanded Training Dataset: By incorporating a broader and more diverse dataset, Janus-Pro achieves a deeper understanding of various contexts, leading to more accurate outputs.
• Model Scalability: Janus-Pro is available in both 1B and 7B parameter configurations. Notably, the 1B model is lightweight enough to operate within web browsers, making it accessible for a wide range of applications.
• Enhanced Image Generation Stability and Consistency: The model delivers more reliable and coherent images, as evidenced by the comparison below:

  Comparison Image: Janus vs. Janus-Pro

  

  Janus Pro versus Janus

Through these advancements, Janus-Pro has positioned itself among the leading text-to-image generation models. In tests with models of similar scale, Janus-Pro-7B has emerged as the top performer. In benchmark evaluations, Janus-Pro achieved the highest score of 80% in the GenEval test, which assesses model generation effectiveness, and an 84.2% score in the execution accuracy DPG-Bench test.

Image Analysis and Understanding Capabilities of Janus-Pro

Beyond generating images from text, Janus-Pro excels in analyzing and interpreting visual content. Users can upload images for the model to analyze objects, interpret text within the image, and assess contextual information.

For instance, when analyzing the following image:

Sample Analysis Image

Janus-Pro provides detailed insights, demonstrating its robust image understanding capabilities. Notably, interactions in English yield more comprehensive analysis results:

Comparing Text-to-Image Generation: Janus-Pro vs. Flux

On the official website, for text-to-image generation tasks, Flux is recommended over Janus-Pro. A comparison between Janus-Pro and Flux is as follows:

Feature	Janus Pro	Flux
Primary Focus	Multimodal tasks, text-image interaction	High-quality image generation
Performance	Excels in instruction execution and multimodal tasks	Generates high-quality images quickly
Training Cost	Relatively lower budget	Not specified, potentially higher
Image Resolution	Input: 384 x 384 pixels, Output: up to 768 x 768	Can generate up to 1024 x 1024 pixels
Community Support	Open-source, available on Hugging Face	Strong community support and optimization

In summary, while Flux is adept at rapid high-quality image generation, Janus Pro is a versatile multimodal model capable of handling both text and image tasks. It excels in converting mathematical equation images into LaTeX code and generating images based on detailed text prompts.

Testing revealed that the web versions of both models have relatively slow image generation speeds, possibly due to high user demand during peak times.

Local Deployment of Janus-Pro

For a straightforward experience, users can visit https://janusai.pro to access online text-to-image generation and image content analysis features. However, due to high user traffic, image generation may be slower. Alternatively, local deployment of the open-source versions, Janus-Pro-1B and Janus-Pro-7B, is recommended:

• Janus-Pro-1B
  • Suitable for: Devices with limited resources, including personal users with graphics cards having 16GB VRAM.
  • Image Quality: Limited, appropriate for personal testing.
• Janus-Pro-7B
  • Requirements: Graphics cards with 24GB VRAM or more (20GB is also feasible), such as the RTX 4090.
  • Image Quality: High-quality image generation with accurate text and information recognition; content understanding is comprehensive and clear, though some local details may be lacking.
  • Generation Speed: Approximately 15 seconds per image.
  • Language Support: The model also supports understanding and interaction in Chinese.
  

  Janus Pro Multimodal Understanding

Download Links

• 7B Model: https://huggingface.co/deepseek-ai/Janus-Pro-7B
• 1B Model: https://huggingface.co/deepseek-ai/Janus-Pro-1B

Conclusion

As an open-source multimodal model, Janus-Pro not only facilitates text-to-image generation but also boasts powerful image understanding capabilities. It offers a comprehensive multimodal solution for both individual AI enthusiasts and enterprises in need. We look forward to DeepSeek’s future developments and the introduction of more exceptional models.