---
title: ruanqing-Z-Image-Turbo-Tongyi-MAI-v1.0
canonical_url: "https://www.modelscope.cn/models/laonansheng/ruanqing-Z-Image-Turbo-Tongyi-MAI-v1.0"
md_url: "https://www.modelscope.cn/models/laonansheng/ruanqing-Z-Image-Turbo-Tongyi-MAI-v1.0.md"
repository: laonansheng/ruanqing-Z-Image-Turbo-Tongyi-MAI-v1.0
chinese_name: "软情-造相Z-Turbo"
last_updated: 2026-01-11
license: "Apache License 2.0"
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - "Tongyi-MAI/Z-Image-Turbo@master"
base_model_relation: adapter
parameters: 1.6B
tensor_type:
  - BF16
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - pytorch
supports_inference: txt2img
downloads: 6146
stars: 91
tags:
  - LoRA
---

# ruanqing-Z-Image-Turbo-Tongyi-MAI-v1.0

> ruanqing-Z-Image-Turbo-Tongyi-MAI-v1.0 - laonansheng 在 ModelScope 开源的模型。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

laonansheng/ruanqing-Z-Image-Turbo-Tongyi-MAI-v1.0 是 ModelScope 魔搭社区上的 1.6B 参数text-to-image-synthesis模型，采用 Apache License 2.0 许可，基于 Tongyi-MAI/Z-Image-Turbo@master 构建，并支持在线推理（txt2img）。

- **Repository**: laonansheng/ruanqing-Z-Image-Turbo-Tongyi-MAI-v1.0
- **License**: Apache License 2.0
- **Tasks**: text-to-image-synthesis
- **Parameters**: 1.6B
- **Base model**: Tongyi-MAI/Z-Image-Turbo@master
- **Online inference**: txt2img
- **Tags**: LoRA
- **Downloads**: 6146
- **Stars**: 91
- **Last updated**: 2026-01-11

Source: https://www.modelscope.cn/models/laonansheng/ruanqing-Z-Image-Turbo-Tongyi-MAI-v1.0

---

### 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('laonansheng/ruanqing-Z-Image-Turbo-Tongyi-MAI-v1.0')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/laonansheng/ruanqing-Z-Image-Turbo-Tongyi-MAI-v1.0.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>