metadata

title: CogVideoX-5B-24frames_20steps-low_vram
emoji: 🎥
colorFrom: yellow
colorTo: blue
sdk: gradio
sdk_version: 5.10.0
python_version: 3.1
app_port: 7860
app_file: app.py
models:
  - THUDM/CogVideoX-5b
  - THUDM/CogVideoX-5b-I2V
tags:
  - cogvideox
  - video-generation
  - thudm
short_description: Text-to-Video
disable_embedding: false

Gradio Composite Demo

This Gradio demo integrates the CogVideoX-5B model, allowing you to perform video inference directly in your browser. It supports features like UpScale, RIFE, and other functionalities.

Environment Setup

Set the following environment variables in your system:

GRADIO_TEMP_DIR= gradio_tmp

Installation

pip install -r requirements.txt

Running the code

python gradio_web_demo.py

Citation

@article{yang2024cogvideox,
  title={CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer},
  author={Yang, Zhuoyi and Teng, Jiayan and Zheng, Wendi and Ding, Ming and Huang, Shiyu and Xu, Jiazheng and Yang, Yuanming and Hong, Wenyi and Zhang, Xiaohan and Feng, Guanyu and others},
  journal={arXiv preprint arXiv:2408.06072},
  year={2024}
}