CogVideoX
The facts below are what the maker publishes about CogVideoX, checked and dated. Our editors have not written about it yet.
The facts
Each one read from CogVideoX's own pages, with the date it was checked.
What it does
- 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.checked 13 Oct 2026
- 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.checked 12 Oct 2026
- Deployment
- The repository provides inference and fine-tuning code through SAT and Diffusers, plus a simple Gradio web application.checked 12 Oct 2026
- Generation tasks
- The project lists text-to-video generation, video continuation, and image-to-video generation as supported tasks.checked 13 Oct 2026
- 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.checked 13 Oct 2026
- 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.checked 12 Oct 2026
- Image-to-video
- Yeschecked 19 Sep 2026
- Integrations
- The project lists community integrations including ComfyUI-CogVideoXWrapper, CogStudio, and Xorbits Inference.checked 13 Oct 2026
- License
- The code and CogVideoX-2B are released under Apache 2.0, while CogVideoX-5B model weights use the CogVideoX License.checked 13 Oct 2026
- 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.checked 12 Oct 2026
- 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.checked 12 Oct 2026
- Maximum video length
- 0.1666666667checked 19 Sep 2026
- Models
- The repository lists CogVideoX1.5-5B, CogVideoX1.5-5B-I2V, CogVideoX-2B, CogVideoX-5B, and CogVideoX-5B-I2V.checked 13 Oct 2026
- Online access
- The repository links online CogVideoX-5B demos on Hugging Face Spaces and ModelScope Spaces.checked 12 Oct 2026
- Online demo
- The project links to Hugging Face and ModelScope Spaces to try CogVideoX-5B online.checked 13 Oct 2026
- Prompt language
- The model supports English input, and the README says other languages can be translated into English for use.checked 13 Oct 2026
- Purpose
- CogVideoX is an open-source video-generation model family for text-to-video and image-to-video generation.checked 13 Oct 2026
- Resolution
- CogVideoX1.5-5B is listed at 1360 × 768, while CogVideoX1.5-5B-I2V supports specified variable resolutions up to 1360 pixels on the longer side.checked 12 Oct 2026
- Setup
- The project provides SAT and Diffusers setup paths and specifies Python versions 3.10 through 3.12 for both.checked 13 Oct 2026
- Support and community
- The repository invites users to join its WeChat and Discord communities and provides a user guide link.checked 13 Oct 2026
- Text-to-video
- Yeschecked 19 Sep 2026
- Video length
- The repository lists 5- or 10-second video lengths for CogVideoX1.5-5B models and 6 seconds for the listed earlier models.checked 12 Oct 2026
Money
- Free Colab examples
- The repository provides Colab examples described as runnable on free T4 instances, including text-to-video and image-to-video notebooks.checked 13 Oct 2026
The company
- Maker
- Zhipu’s about page lists its founding year as 2019 and its address in Haidian District, Beijing, China.checked 13 Oct 2026
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