---
title: mjnyf
canonical_url: "https://www.modelscope.ai/models/wlsid524/mjnyf"
md_url: "https://www.modelscope.ai/models/wlsid524/mjnyf.md"
repository: wlsid524/mjnyf
last_updated: 2026-03-17
license: "Apache License 2.0"
base_model:
  - "MusePublic/Qwen-image@v1"
base_model_relation: adapter
parameters: 235.9M
tensor_type:
  - BF16
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - pytorch
supports_inference: txt2img
downloads: 440
stars: 0
tags:
  - LoRA
---

# mjnyf

> mjnyf - An open-source model by wlsid524 on ModelScope. 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。 您可以通过如下git clone命令，或者ModelScope SDK来下载模型

wlsid524/mjnyf is a 235.9M-parameter machine learning model on ModelScope. licensed under Apache License 2.0. derived from MusePublic/Qwen-image@v1. and supports online inference (txt2img).

- **Repository**: wlsid524/mjnyf
- **License**: Apache License 2.0
- **Parameters**: 235.9M
- **Base model**: MusePublic/Qwen-image@v1
- **Online inference**: txt2img
- **Tags**: LoRA
- **Downloads**: 440
- **Stars**: 0
- **Last updated**: 2026-03-17

Source: https://www.modelscope.ai/models/wlsid524/mjnyf

---

### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型

SDK下载
```bash
#安装ModelScope
pip install modelscope
```
```python
#SDK模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('wlsid524/mjnyf')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/wlsid524/mjnyf.git
```

<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>