---
license: apache-2.0
language:
- en
pipeline_tag: text-to-video
library_name: diffusers
tags:
- video
- video-generation
base_model:
- Wan-AI/Wan2.1-VACE-1.3B
---

  
```
 ________               ______    ____         ___ ___ _______ ______ _______       ____      ______ ______        _______ _______ _______ _______ 
|  |  |  |.---.-.-----.|__    |  |_   | ______|   |   |   _   |      |    ___|_____|_   |    |__    |   __ \______|     __|     __|   |   |    ___|
|  |  |  ||  _  |     ||    __|__ _|  ||______|   |   |       |   ---|    ___|______||  |_ __|__    |   __ <______|    |  |    |  |   |   |    ___|
|________||___._|__|__||______|__|______|      \_____/|___|___|______|_______|     |______|__|______|______/      |_______|_______|_______|___|                                                                                                                                                
                                                                                                                                                                                                                                                                                           
```

# Wan-2.1-VACE-1.3B-GGUF
## Direct GGUF Conversion of Wan2.1-VACE-1.3B
Wan2.1 is an open-source suite of video foundation models, compatible with consumer-grade GPUs, that excels in various video generation tasks like text-to-video, image-to-video, and video editing, even supporting visual text generation.



## Table of Contents 📝
1. ▶ [Usage](#usage)
2. 📃 [License](#license)
3. 🙏 [Acknowledgements](#acknowledgements)

<a name="usage"/>

## ▶ Usage
Download models using `huggingface-cli`:
```
pip install "huggingface_hub[cli]"
huggingface-cli download samuelchristlie/Wan2.1-VACE-1.3B-GGUF --local-dir ./Wan2.1-VACE-1.3B-GGUF
```

You can also download directly from [this page](https://huggingface.co/samuelchristlie/Wan2.1-VACE-1.3B-GGUF/tree/main).

<a name="license"/>

## 📃 License
This model is a derivative work of the original model licensed under the Apache 2.0 License, and is therefore distributed under the terms of the same license.

<a name="acknowledgements"/>

## 🙏 Acknowledgements
Thanks to Patrick Gillespie for creating the ASCII text art tool used in this project
https://patorjk.com/software/taag/

Wan-AI for the Wan model
https://huggingface.co/Wan-AI/Wan2.1-VACE-1.3B

https://huggingface.co/city96

</div>