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Wan-AI/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.
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.
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.
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