---
title: Jingwen-QWen
canonical_url: "https://www.modelscope.ai/models/wefile.ai/Jingwen-QWen"
md_url: "https://www.modelscope.ai/models/wefile.ai/Jingwen-QWen.md"
repository: wefile.ai/Jingwen-QWen
last_updated: 2025-10-05
license: "Apache License 2.0"
base_model:
  - "MusePublic/Qwen-image@v1"
base_model_relation: adapter
library_name:
  - lora
  - safetensors
supports_inference: txt2img
downloads: 2
stars: 0
tags:
  - LoRA
---

# Jingwen-QWen

> Jingwen-QWen - An open-source model by wefile.ai on ModelScope. You are viewing the default Readme template as no detailed model-card was provided by the model’s contributors. You can access the model files in the "Files and versions" tab. Model files may be…

wefile.ai/Jingwen-QWen is a machine learning model on ModelScope. licensed under Apache License 2.0. derived from MusePublic/Qwen-image@v1. and supports online inference (txt2img).

- **Repository**: wefile.ai/Jingwen-QWen
- **License**: Apache License 2.0
- **Base model**: MusePublic/Qwen-image@v1
- **Online inference**: txt2img
- **Tags**: LoRA
- **Downloads**: 2
- **Stars**: 0
- **Last updated**: 2025-10-05

Source: https://www.modelscope.ai/models/wefile.ai/Jingwen-QWen

---

### You are viewing the default Readme template as no detailed model-card was provided by the model’s contributors. You can access the model files in the "Files and versions" tab.
#### Model files may be downloaded with ModelScope SDK or through git clone directly.

Download with ModelScope’s Python SDK
```bash
#Install ModelScope
pip install modelscope
```
```python
#Download with ModelScope’s Python SDK
from modelscope import snapshot_download
model_dir = snapshot_download('wefile.ai/Jingwen-QWen')
```
Download with Git clone
```
git clone https://www.modelscope.ai/wefile.ai/Jingwen-QWen.git
```

<p style="color: lightgrey;">If you are a contributor to this model, we invite you to promptly update the model card content according to <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;">the model contribution documentation</a>.</p>