Instructions to use congruency/MOSS-Image-Turbo-MFD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use congruency/MOSS-Image-Turbo-MFD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("congruency/MOSS-Image-Turbo-MFD", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 1,395 Bytes
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license: apache-2.0
base_model:
- OpenMOSS-Team/MOSS-Image-Base
- OpenMOSS-Team/MOSS-Image-SFT
pipeline_tag: text-to-image
tags:
- moss-image
- diffusers
- text-to-image
- distilled
- turbo
---
# MOSS-Image-Turbo-MFD
Unofficial Research Turbo LoRA for MOSS-Image using [Mean Flow Distillation](https://arxiv.org/abs/2606.11155)
## MOSS-Image-Base
MOSS-Image-Base-Turbo-MFD-v0.1 - 50 aux/20 student, 4-6 steps inference
## MOSS-Image-SFT
MOSS-Image-SFT-Turbo-MFD-v0.1 - 50 aux/20 student, 4-6 steps inference
## Note
ComfyUI version is .comfy.safetensors
## License and acknowledgements
Apache 2.0 License
Thank you HuggingFace, OpenMOSS Team, and An Zhao and Shengyuan Zhang and Zhongjian Sun and Yixiang Zhou and Zejian Li and Ling Yang and Tianrun Chen and Lingyun Sun
```bibtex
@misc{mossimage2026,
title = {MOSS-Image},
author = {{OpenMOSS Team}},
year = {2026},
howpublished = {\url{https://github.com/OpenMOSS/MOSS-Image}}
}
```
```
@misc{zhao2026MeanFlowDistillation,
title={Mean Flow Distillation: Robust and Stable Distillation for Flow Matching Models},
author={An Zhao and Shengyuan Zhang and Zhongjian Sun and Yixiang Zhou and Zejian Li and Ling Yang and Tianrun Chen and Lingyun Sun},
year={2026},
eprint={2606.11155},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2606.11155},
}
``` |