Wan2.2-Animate-14B-GGUF is a quantized version of the Wan2.2-Animate-14B video-to-video model provided in GGUF format. It is hosted on Hugging Face by QuantStack and is intended for use in video-to-video generation tasks.
The repository supplies the main model files along with guidance on complementary components including the Umt5-xxl text encoder and Wan2.1_VAE. It lists multiple quantization levels that allow users to trade off between model size and performance on available hardware. Available options range from 2-bit Q2_K at 6.46 GB through 8-bit Q8_0 at 18.7 GB. An example workflow for integration is referenced.
The model is delivered as downloadable GGUF files placed in the ComfyUI/models/unet directory. It is designed for operation with the ComfyUI-GGUF custom node. The original model originates from Wan-AI/Wan2.2-Animate-14B and retains all original licensing terms and usage restrictions. The repository itself is released under the Apache-2.0 license. It has recorded 116000 downloads in the past month.
The tool belongs to the class of video-to-video models and supports English and Chinese. No pricing information is stated because the files are offered for direct download.
In the Video generation space, Wan2.2 Animate 14B takes a focused approach. It focuses on running high-quality video generation and video-to-video models locally with reduced memory using GGUF quantization. Wan2.2 Animate 14B is an open-source project aimed at developers. The project is open source (Apache-2.0). It runs on the web and API.
It is developed by QuantStack, and the product first shipped in 2024. The project is developed in the open on GitHub with 3.8k stars. Among its 4 catalogued features are video generation, video-to-video, and GGUF quantization.
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