Leading open video model for 2026. 720P with full camera motion controls and best-in-class semantic consistency across frames. The top choice for filmmakers and content creators running a single 24GB GPU workstation.
This model requires a specialized High-VRAM environment. Ensure you have the latest CUDA Drivers or Metal Framework installed.
Minimum VRAM: 26GB VRAM Recommended
The Wan 2.2 model by Alibaba is a 14B video parameter architecture optimized for video tasks. It requires approximately 24GB of VRAM to comfortably run locally using a BF16 quantization. Extending the context window up to 0 tokens will dynamically allocate further VRAM, meaning high-bandwidth memory hardware is strictly advised.
For running Wan 2.2 at maximum tokens-per-second, we recommend using LM Studio or Ollama with a GGUF quantization (Q4_K_M or Q6_K). If you are multi-GPU, use vLLM to distribute the layers across your VRAM pool for optimal throughput.
You will need a GPU with at least 26GB of VRAM to run the BF16 quantized version smoothly with a moderate context window.
The simplest method is utilizing Ollama by executing 'ollama run wan2.2' directly in your command line. Alternatively, you can search for the model via LM Studio's interface.