Model reference · open weights
Lumina-mGPT-2.0-Omni is an open-weight image model from Alpha-VLLM. 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
| Maker | Alpha-VLLM |
|---|---|
| Type | Image models |
| Task | Image edit |
| Parameters (lead) | 7.9B |
| Released | 2025-08-02 |
| Popularity | 32 downloads / month |
| Licence | Open weights |
About
Lumina-mGPT 2.0 is a stand-alone, decoder-only autoregressive model, trained from scratch, that unifies a broad spectrum of image generation tasks, including text-to-image generation, image pair generation, subject-driven generation, multi-turn image editing, controllable generation, and dense prediction.
We provide the implementation of Lumina-mGPT 2.0, as well as sampling code, visit our GitHub.
If you find the provided code or models useful for your research, consider citing them as:
@article{xin2025lumina,
title={Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling},
author={Xin, Yi and Yan, Juncheng and Qin, Qi and Li, Zhen and Liu, Dongyang and Li, Shicheng and Huang, Victor Shea-Jay and Zhou, Yupeng and Zhang, Renrui and Zhuo, Le and others},
journal={arXiv preprint arXiv:2507.17801},
year={2025}
}
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys lumina-mgpt-2-0-omni for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (lumina-mgpt-2-0-omni below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/images/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"lumina-mgpt-2-0-omni","prompt":"a red bicycle","size":"1024x1024"}'
Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.