CogVideoX-2B is an open-source video generation model developed by the team at Tsinghua University. It supports video generation using English text prompts and requires 36GB of GPU memory for inference. The model can create videos that are 6 seconds long, with a frame rate of 8 frames per second, and a resolution of 720x480. It utilizes sinusoidal positional embeddings and currently does not support quantized inference or multi-GPU inference. Deployed using Hugging Face's diffusers library, it generates highly creative and application-oriented videos based on text prompts.