MICo-Series
Collection
This is the hugging face collection for MICo-150K. Our official Github repo: https://github.com/A113N-W3I/MICo-150K β’ 9 items β’ Updated β’ 4
How to use kr-cen/OmniGen2-MICo with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("kr-cen/OmniGen2-MICo", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Since OmniGen2 naturally supports multi-reference generation, here we give some comparisons against OmniGen2.
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}
}
OmniGen2-MICo is licensed under Apache License 2.0