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
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Download README.md from congruency/MOSS-Image-Turbo-MFD: direct link, hf CLI and curl.
- Browser
- Download file 1.4 kB
-
https://huggingface.co/congruency/MOSS-Image-Turbo-MFD/resolve/main/README.md
- Command line
-
hf download hf://congruency/MOSS-Image-Turbo-MFD/README.md
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curl -L -o README.md https://huggingface.co/congruency/MOSS-Image-Turbo-MFD/resolve/main/README.md
1.4 kB
metadata
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
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
@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},
}