🎬 video

CogVideoX1.5-5B-SAT

Open source video generation model, supporting 10-second videos and higher resolutions.

#video generation
#Open source model
#text to video
#high resolution
#Tsinghua University
CogVideoX1.5-5B-SAT

Product Details

CogVideoX1.5-5B-SAT is an open source video generation model developed by the Knowledge Engineering and Data Mining Team of Tsinghua University. It is an upgraded version of the CogVideoX model. This model supports the generation of 10-second videos and supports the generation of higher-resolution videos. The model includes modules such as Transformer, VAE and Text Encoder, which can generate video content based on text descriptions. The CogVideoX1.5-5B-SAT model provides a powerful tool for video content creators with its powerful video generation capabilities and high-resolution support, especially in education, entertainment and business fields.

Main Features

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Support 10 seconds video generation
2
Supports video generation at any resolution
3
Contains weights for I2V and T2V models
4
The VAE part is consistent with the CogVideoX-5B series and does not need to be updated.
5
Text Encoder is consistent with the diffusers version of CogVideoX-5B and does not need to be updated.
6
The model is published on the Hugging Face platform for easy download and use.
7
The model follows the CogVideoX LICENSE license agreement

How to Use

1
1. Visit the Hugging Face platform and search for the CogVideoX1.5-5B-SAT model.
2
2. Download the model file and related weights.
3
3. Configure the environment and dependencies according to the model document.
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4. Use the text description as input to call the model to generate the video.
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5. Adjust model parameters to optimize video generation effects.
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6. Use the generated video for educational, entertainment or commercial purposes.

Target Users

The target audience is video content creators, educators, entertainment industry practitioners, and any user who needs video generation technology. CogVideoX1.5-5B-SAT, with its powerful video generation capabilities and high-resolution support, can help users quickly generate video content that conforms to text descriptions, improving the efficiency and quality of content creation.

Examples

Education field: Generate teaching videos based on teaching text descriptions to improve teaching effects.

Entertainment industry: Generate trailers or movie clips based on scripts to speed up the content production process.

Commercial field: Generate product introduction videos based on product descriptions to improve product promotion effects.

Quick Access

Visit Website →

Categories

🎬 video
› video generation
› Model training and deployment

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