How to Run Wan AI Locally on RTX 4090

Running Wan AI locally gives you complete control over your video generation workflow. In this guide, we'll walk you through setting up Wan 2.6 on a system with an NVIDIA RTX 4090.

First, ensure you have the prerequisites: Python 3.10+, CUDA 12.1, and at least 24GB of VRAM. The RTX 4090 is ideal for running the full 14B parameter model.

Clone the repository from GitHub and install the dependencies using pip. We recommend using a virtual environment to avoid conflicts with other projects.

For optimal performance, we suggest using INT8 quantization which reduces memory usage while maintaining quality. You can also enable xformers for additional memory optimization.