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BAGEL-MICo
kr-cen/BAGEL-MICo
BAGEL-MICo is a any-to-any model from kr-cen. Use it for the any-to-any task on the model card, and read the license before you ship it in a product. It is set up for bagel-mot. The card lists the license as apache-2.0.
[](https://www.arxiv.org/pdf/2512.07348) [](https://www.arxiv.org/abs/2512.07348) [](https://github.com/A113N-W3I/MICo-150K)
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.safetensors29.5 GB · 100%
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Model card
From the Hugging Face model README
🥯 BAGEL-MICo • BAGEL-Variant finetuned on Multi-Image Composition Dataset (MICo-150K)
🎨 Demo
✍️ Citation
If you find this work useful, please cite:
@article{wei2025mico,
title={MICo-150K: A Comprehensive Dataset Advancing Multi-Image Composition},
author={Wei, Xinyu and Cen, Kangrui and Wei, Hongyang and Guo, Zhen and Li, Bairui and Wang, Zeqing and Zhang, Jinrui and Zhang, Lei},
journal={arXiv preprint arXiv:2512.07348},
year={2025}
}
License
BAGEL-MICo is licensed same as BAGEL: BAGEL is licensed under the Apache 2.0 license. It is finetuned from Qwen2.5-7B-Instruct and siglip-so400m-14-384-flash-attn2 model, and uses the FLUX.1-schnell VAE model, all under Apache 2.0.
- Task
- Any-to-Any
- Library
- bagel-mot
- License
- apache-2.0
- Created
- Dec 10, 2025
- Updated
- Dec 12, 2025