π Introduction
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.
π Usage
We provide the implementation of Lumina-mGPT 2.0, as well as sampling code, visit our GitHub.
π½οΈ Demo Examples
Qualitative Performance

Comparison with Lumina-mGPT and Janus Pro

π Citation
If you find the provided code or models useful for your research, consider citing them as:
@misc{lumina-mgpt-2.0,
title={Lumina-mGPT 2.0: Stand-alone Autoregressive Image Modeling},
author={Alpha VLLM Team},
year={2025},
url={https://github.com/Alpha-VLLM/Lumina-mGPT-2.0},
}
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