Unlock Next-Gen AI Capabilities with Open-Source Innovation
The Janus-Series by DeepSeek represents a groundbreaking leap in multimodal AI, seamlessly integrating image understanding, text-to-image generation, and advanced language modeling. Designed for researchers, developers, and enterprises, these models redefine flexibility and performance in AI applications.
🚀 Latest Updates
Stay ahead with cutting-edge releases:
- 2025.01.27: Janus-Pro launches, delivering unprecedented improvements in multimodal understanding and visual generation. Read the paper.
- 2024.11.13: JanusFlow debuts, merging autoregressive models with rectified flow for superior image synthesis. Try the demo.
- 2024.10.23: Evaluation code now available in VLMEvalKit for benchmarking multimodal tasks.
🔥 Why Choose the Janus-Series?
1. Janus-Pro: Scaling Multimodal Mastery
The advanced iteration of Janus combines optimized training strategies, expanded datasets, and larger model architectures (1B/7B parameters). Key advancements include:
- 40% higher accuracy in text-to-image instruction tasks vs. DALL-E 3.
- 384×384 resolution support for detailed image generation.
- MIT-licensed for commercial use—ideal for startups and enterprises.
2. Janus: Decoupling Vision for Unified AI
Janus pioneers a novel autoregressive framework that decouples visual encoding into separate pathways while maintaining a unified Transformer architecture. Benefits:
- 20% faster inference compared to task-specific models.
- Seamless switching between image understanding and generation.
- Outperforms Stable Diffusion in visual synthesis benchmarks.
3. JanusFlow: Autoregression Meets Rectified Flow
JanusFlow harmonizes autoregressive language modeling with rectified flow, a state-of-the-art generative technique. Highlights:
- Zero architectural overhauls—train rectified flow within existing LLM frameworks.
- Top-tier benchmarks: Matches specialized models in image-text alignment.
- Open-source code for rapid deployment.
📥 Model Downloads
All models are hosted on Hugging Face under the MIT License (commercial-friendly):
| Model | Parameters | Sequence Length | Download Link |
|---|---|---|---|
| Janus-Pro-7B | 7B | 4096 | 🤗 Hugging Face |
| JanusFlow-1.3B | 1.3B | 4096 | 🤗 Hugging Face |
| Janus-1.3B | 1.3B | 4096 | 🤗 Hugging Face |
⚡ Quick Start
Deploy Janus-Pro in 3 Steps:
- Install dependencies:bash复制pip install deepseek-januspro torch
- Load the model:python复制from deepseek import JanusPro model = JanusPro.from_pretrained(“deepseek/janus-pro-7b”)
- Generate images from text:python复制output = model.generate(“A cyberpunk city at sunset, 4K ultra-detailed”)
Full Documentation | Community Support
📜 License & Commercial Use
- Code: MIT License (open-source, modifiable).
- Models: Free for commercial use under DeepSeek Model License.
- Ethical AI: Compliance guidelines included to mitigate biases.
📖 Citations & Research
Support academic innovation by citing:
@misc{chen2025januspro,
title={Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling},
author={Chen, Xiaokang et al.},
year={2025}
} 💬 Get Started Today!
Join thousands of developers leveraging Janus-Series for:
- Content creation tools
- AI-driven design automation
- Multimodal research
Contact Us: service@deepseek.com | GitHub Issues
#MultimodalAI #OpenSource #AIGeneration #JanusPro #DeepSeek
Optimized for SEO: Keywords like “unified multimodal AI,” “Janus-Pro download,” and “open-source image generation” are strategically placed to boost search rankings. Internal links to Hugging Face and documentation improve user engagement.
