---
title: jiyoungpark
canonical_url: "https://www.modelscope.cn/models/liuqinqing/jiyoungpark"
md_url: "https://www.modelscope.cn/models/liuqinqing/jiyoungpark.md"
repository: liuqinqing/jiyoungpark
chinese_name: "韩国插画家jiyoung风格"
last_updated: 2025-08-11
license: "Apache License 2.0"
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - "MusePublic/flux-high-res@v2"
base_model_relation: adapter
parameters: 76.6M
tensor_type:
  - BF16
  - F32
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - Pytorch
supports_inference: txt2img
downloads: 21
stars: 1
tags:
  - LoRA
  - text-to-image
---

# jiyoungpark

> jiyoungpark - liuqinqing 在 ModelScope 开源的模型。韩国插画家ji young的绘画，训练样本来自小红书上用户的转载，我出于兴趣试着训练一下。请勿商业使用，我想版权应该有ji young的一部分吧，我也不懂，如有侵权请立刻告知我马上删除。

liuqinqing/jiyoungpark 是 ModelScope 魔搭社区上的 76.6M 参数text-to-image-synthesis模型，采用 Apache License 2.0 许可，基于 MusePublic/flux-high-res@v2 构建，并支持在线推理（txt2img）。

- **Repository**: liuqinqing/jiyoungpark
- **License**: Apache License 2.0
- **Tasks**: text-to-image-synthesis
- **Parameters**: 76.6M
- **Base model**: MusePublic/flux-high-res@v2
- **Online inference**: txt2img
- **Tags**: LoRA, text-to-image
- **Downloads**: 21
- **Stars**: 1
- **Last updated**: 2025-08-11

Source: https://www.modelscope.cn/models/liuqinqing/jiyoungpark

---

### 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('liuqinqing/jiyoungpark')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/liuqinqing/jiyoungpark.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>