Zhipu AI announces the open source of its video generation model CogVideoX, aiming to promote the rapid development and application of video generation technology. The CogVideoX model is based on advanced large model technology and is capable of meeting commercial-grade application requirements. The currently open sourced CogVideoX-2B version requires only 18GB of GPU memory for inference at FP-16 precision and 40GB for fine-tuning, allowing inference with a single 4090 GPU and fine-tuning with a single A6000 GPU.

Zhipu AI has launched CogVideoX, a next-generation video generation model that enhances temporal frame relationship capturing through a 3D VAE structure and 3D RoPE module. This model integrates text, time, and space into a transformer architecture, allowing for efficient video generation that meets user needs. It is available on the Zhipu Qingyan platform for free video generation services, featuring fast generation, effective instruction adhere....

During its OpenDay event, Zhipu AI introduced an AI large model named Qingying, capable of generating videos from any text. Qingying can produce high-definition videos at a resolution of 1440x960 within 30 seconds. Users need only to input a text (i.e., Prompt) and choose a desired style, such as cartoon 3D, black and white, oil painting, cinematic, etc., to generate the video. Qingying is now available on the Qingyan App, accessible to all users.