---
title: Dense-Rectified-Flow-Transformer
canonical_url: "https://www.modelscope.cn/models/lodestones/Dense-Rectified-Flow-Transformer"
md_url: "https://www.modelscope.cn/models/lodestones/Dense-Rectified-Flow-Transformer.md"
repository: lodestones/Dense-Rectified-Flow-Transformer
last_updated: 2025-03-06
license: cc-by-nc-sa-4.0
parameters: 81.7B
tensor_type:
  - F32
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 6463
stars: 0
---

# Dense-Rectified-Flow-Transformer

> Dense-Rectified-Flow-Transformer - lodestones 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

lodestones/Dense-Rectified-Flow-Transformer 是 ModelScope 魔搭社区上的 81.7B 参数机器学习模型，采用 cc-by-nc-sa-4.0 许可。

- **Repository**: lodestones/Dense-Rectified-Flow-Transformer
- **License**: cc-by-nc-sa-4.0
- **Parameters**: 81.7B
- **Downloads**: 6463
- **Stars**: 0
- **Last updated**: 2025-03-06

Source: https://www.modelscope.cn/models/lodestones/Dense-Rectified-Flow-Transformer

---

### 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('lodestones/Dense-Rectified-Flow-Transformer')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/lodestones/Dense-Rectified-Flow-Transformer.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>