Model reference · open weights
JanusFlow is an open-weight language model from deepseek-ai. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | DeepSeek |
|---|---|
| Published under | deepseek-ai |
| Type | Language models |
| Task | Omni (any→any) |
| Parameters (lead) | 2.0B |
| Runs with | transformers |
| Released | 2024-11-12 |
| Popularity | 1k downloads / month |
| Licence | Open weights |
About
We present JanusFlow, a powerful framework that unifies image understanding and generation in a single model. JanusFlow introduces a minimalist architecture that integrates autoregressive language models with rectified flow, a state-of-the-art method in generative modeling. Our key finding demonstrates that rectified flow can be straightforwardly trained within the large language model framework, eliminating the need for complex architectural modifications.
JanusFlow is a unified understanding and generation MLLM, which decouples visual encoding for multimodal understanding and generation, which is constructed based on DeepSeek-LLM-1.3b-base. For multimodal understanding, it uses the SigLIP-L as the vision encoder, which supports 384 x 384 image input. For image generation, JanusFlow uses rectified flow and SDXL-VAE to generate 384 x 384 images. The provided checkpoint is the EMA checkpoint after pre-training and supervised fine-tuning.
Please refer to Github Repository
This code repository is licensed under the MIT License. The use of JanusFlow models is subject to DeepSeek Model License.
@misc{ma2024janusflow,
title={JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation},
author={Yiyang Ma and Xingchao Liu and Xiaokang Chen and Wen Liu and Chengyue Wu and Zhiyu Wu and Zizheng Pan and Zhenda Xie and Haowei Zhang and Xingkai yu and Liang Zhao and Yisong Wang and Jiaying Liu and Chong Ruan},
journal={arXiv preprint arXiv:2411.07975},
year={2024}
}
If you have any questions, please raise an issue or contact us at service@deepseek.com.
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys janusflow for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (janusflow below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"janusflow","messages":[{"role":"user","content":"Hello"}]}'
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.