CogVideoX

github.com · checked 13 Oct 2026

#145 · AI video generators #16 · Text-to-Video Generators

Visit github.com ↗ Alternatives CogVideoX vs VideoCrafter

How it plugs in

—Public API

NoOpen source

YesFree tier

Signal on AI video generators6.3#145 of 241

CogVideoX is an open-source model for text-to-video and image-to-video generation.

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Facts

Website: github.com
Price: Free tier
Free trial: Not stated
Commercial use: The CogVideoX License requires commercial users to register for a basic commercial license and limits service visits to one million per month under that license.
Commercial use limit: The model license permits registered basic-license commercial activities up to 1 million service visits per month; higher usage requires contacting the business team for more licenses.
Deployment: The repository provides inference and fine-tuning code through SAT and Diffusers, plus a simple Gradio web application.
Free Colab examples: The repository provides Colab examples described as runnable on free T4 instances, including text-to-video and image-to-video notebooks.
Generation tasks: The project lists text-to-video generation, video continuation, and image-to-video generation as supported tasks.
Hardware limits: The README lists minimum Diffusers memory usage of 4 GB for CogVideoX1.5-5B-I2V and 5 GB for CogVideoX-5B, with quantized configurations listed lower.
Hardware requirements: The repository lists minimum Diffusers memory figures as low as 4 GB for CogVideoX-2B and notes that INT8 can reduce memory needs while slowing inference.
Image-to-video: Yes
Integrations: The project lists community integrations including ComfyUI-CogVideoXWrapper, CogStudio, and Xorbits Inference.
License: The code and CogVideoX-2B are released under Apache 2.0, while CogVideoX-5B model weights use the CogVideoX License.
License restrictions: The model license prohibits use for military or illegal purposes and certain acts described in the license, and provides the software without warranty.
Licensing: The code is released under Apache 2.0, while model weights have a separate license that allows academic research use and requires a basic commercial license for commercial use.

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