---
title: latentsync
canonical_url: "https://www.modelscope.cn/models/juliuscn/latentsync"
md_url: "https://www.modelscope.cn/models/juliuscn/latentsync.md"
repository: juliuscn/latentsync
last_updated: 2025-04-13
license: "Apache License 2.0"
pipeline_tag: vision-efficient-tuning
tasks:
  - vision-efficient-tuning
parameters: 83.7M
tensor_type:
  - F32
library_name:
  - safetensors
  - diffusers
  - pytorch
frameworks:
  - Pytorch
downloads: 47
stars: 0
---

# latentsync

> latentsync - juliuscn 在 ModelScope 开源的模型。latentsync

juliuscn/latentsync 是 ModelScope 魔搭社区上的 83.7M 参数vision-efficient-tuning模型，采用 Apache License 2.0 许可。

- **Repository**: juliuscn/latentsync
- **License**: Apache License 2.0
- **Tasks**: vision-efficient-tuning
- **Parameters**: 83.7M
- **Downloads**: 47
- **Stars**: 0
- **Last updated**: 2025-04-13

Source: https://www.modelscope.cn/models/juliuscn/latentsync

---

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