6-second 720P clips on a single 16GB GPU — the easiest entry point into local video generation. Apache 2.0 commercial license with active ComfyUI integration. Best for social media automation and rapid prototyping.
This model requires a specialized High-VRAM environment. Ensure you have the latest CUDA Drivers or Metal Framework installed.
Minimum VRAM: 18GB VRAM Recommended
The CogVideoX-5B model by THUDM is a 5B video parameter architecture optimized for video tasks. It requires approximately 16GB 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 CogVideoX-5B 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 18GB of VRAM to run the BF16 quantized version smoothly with a moderate context window.
The simplest method is utilizing Ollama by executing 'ollama run cogvideox-5b' directly in your command line. Alternatively, you can search for the model via LM Studio's interface.