---
title: AsymFlow-ImageNet
canonical_url: "https://www.modelscope.cn/models/Lakonik/AsymFlow-ImageNet"
md_url: "https://www.modelscope.cn/models/Lakonik/AsymFlow-ImageNet.md"
repository: Lakonik/AsymFlow-ImageNet
last_updated: 2026-10-29
license: apache-2.0
parameters: 1.9B
tensor_type:
  - F16
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 6
stars: 0
tags:
  - flow-matching
  - pixel-diffusion
  - pixel-generation
---

# AsymFlow-ImageNet

> AsymFlow-ImageNet - Lakonik 在 ModelScope 开源的模型。Asymmetric Flow Models

Lakonik/AsymFlow-ImageNet 是 ModelScope 魔搭社区上的 1.9B 参数机器学习模型，采用 apache-2.0 许可。

- **Repository**: Lakonik/AsymFlow-ImageNet
- **License**: apache-2.0
- **Parameters**: 1.9B
- **Tags**: flow-matching, pixel-diffusion, pixel-generation
- **Downloads**: 6
- **Stars**: 0
- **Last updated**: 2026-10-29

Source: https://www.modelscope.cn/models/Lakonik/AsymFlow-ImageNet

---

# Asymmetric Flow Models

Pixel-space flow models trained on ImageNet using the AsymFlow method proposed in the paper:

**Asymmetric Flow Models**
<br>
NeurIPS 2026
<br>
[Hansheng Chen](https://lakonik.github.io/),
[Jan Ackermann](https://janackermann.info/),
[Minseo Kim](https://soniaminseokim.github.io/),
[Gordon Wetzstein](http://web.stanford.edu/~gordonwz/), 
[Leonidas Guibas](https://geometry.stanford.edu/?member=guibas)<br>
Stanford University
<br>
[Project Page](https://hanshengchen.com/asymflow) | [arXiv](https://arxiv.org/abs/2605.12964) | [Code](https://github.com/Lakonik/LakonLab/blob/main/docs/AsymFlow.md) | [AsymFLUX.2 klein Demo🤗](https://huggingface.co/spaces/Lakonik/AsymFLUX.2-klein)

![asymflow_teaser](https://cdn-uploads.huggingface.co/production/uploads/638067fcb334960c987fbeda/UCU9seMTK_iBccdFNErns.jpeg)

## Citation
```
@article{chen2026asymmetric,
  title={Asymmetric Flow Models},
  author={Hansheng Chen and Jan Ackermann and Minseo Kim and Gordon Wetzstein and Leonidas Guibas},
  journal={arXiv preprint arXiv:2605.12964},
  url={https://arxiv.org/abs/2605.12964},
  year={2026},
}
```