metadata
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 📝
- ▶ Usage
- 📃 License
- 🙏 Acknowledgements
▶ 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.
📃 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.
🙏 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