Wan-Dancer-14B: Video Generator — What It Does and What You Need to Run It

Wan-Dancer-14B is an open source video generator that turns a still image into a video clip. The developer, Wan-AI, publishes both the code and the model weights, so the tool can be studied and run on your own hardware.

What it does

The model handles image-to-video: an image goes in, a video comes out. You work with the model through the diffusers library. The authors do not state any limits on clip length, resolution or motion styles.

What you need to run it

The code is written in Python and distributed under the Apache-2.0 license. The model weights are also available under Apache-2.0. The largest weights file is 32.1 GB, and all files together are 79.7 GB.

As described by the author, the CUDA platform is required. The description states verbatim: "Ensure CUDA 12.4 is installed and compatible with your system". The authors phrase the VRAM requirement as follows: "Hardware: 8 x NVIDIA A800 80GB GPUs". This is the developer's claim, not an independent measurement.

The repository code was last changed on July 17, 2026; the repository was created on July 13, 2026.

Who it suits

The tool is aimed at those who work with generative video and are ready to deal with running it locally. The open license allows you to embed the model in your own projects and modify the code.

For quick testing on an ordinary computer, the model is most likely not suitable: the stated hardware requirements are high, and the weights exceed 79 GB. Those looking for a cloud service without setting up an environment should look at other solutions.

Wan-Dancer-14B is a model for local deployment on a powerful GPU server. The code and weights are open, but preparing the environment and downloading the files will take time and the appropriate resources.