---
title: krea2-Cc-TM-GreatFigure
canonical_url: "https://www.modelscope.cn/models/yan303145427/krea2-Cc-TM-GreatFigure"
md_url: "https://www.modelscope.cn/models/yan303145427/krea2-Cc-TM-GreatFigure.md"
repository: yan303145427/krea2-Cc-TM-GreatFigure
chinese_name: "krea2-Cc-天魔-身材"
last_updated: 2026-07-16
license: "Apache License 2.0"
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - krea/Krea-2-Turbo
base_model_relation: adapter
parameters: 114.3M
tensor_type:
  - BF16
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - Pytorch
supports_inference: txt2img
downloads: 4573
stars: 186
tags:
  - LoRA
  - text-to-image
  - "美化身材"
  - "多拍摄角度"
  - "艺术处理"
---

# krea2-Cc-TM-GreatFigure

> krea2-Cc-TM-GreatFigure - yan303145427 在 ModelScope 开源的模型。多拍摄角度，美化身材，建议权重1.0-1.5

yan303145427/krea2-Cc-TM-GreatFigure 是 ModelScope 魔搭社区上的 114.3M 参数text-to-image-synthesis模型，采用 Apache License 2.0 许可，基于 krea/Krea-2-Turbo 构建，并支持在线推理（txt2img）。

- **Repository**: yan303145427/krea2-Cc-TM-GreatFigure
- **License**: Apache License 2.0
- **Tasks**: text-to-image-synthesis
- **Parameters**: 114.3M
- **Base model**: krea/Krea-2-Turbo
- **Online inference**: txt2img
- **Tags**: LoRA, text-to-image, 美化身材, 多拍摄角度, 艺术处理
- **Downloads**: 4573
- **Stars**: 186
- **Last updated**: 2026-07-16

Source: https://www.modelscope.cn/models/yan303145427/krea2-Cc-TM-GreatFigure

---

### 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('yan303145427/krea2-Cc-TM-GreatFigure')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/yan303145427/krea2-Cc-TM-GreatFigure.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>
