metadata

title: CogVideoX-2B
emoji: 🎥
colorFrom: yellow
colorTo: green
sdk: gradio
sdk_version: 4.41.0
suggested_hardware: a10g-large
suggested_storage: large
app_port: 7860
app_file: app.py
models:
  - THUDM/CogVideoX-2b
tags:
  - cogvideox
  - video-generation
  - thudm
short_description: Text-to-Video
disable_embedding: false

CogVideoX HF Space

How to run this space

CogVideoX does not rely on any external API models. However, during the training of CogVideoX, we used relatively long prompts. To enable users to achieve rendering with shorter prompts, we integrated an LLM to refine the prompts for better results. This step is not mandatory, but we recommend using an LLM to enhance the prompts.

Using with GLM-4 Model

OPENAI_BASE_URL=https://open.bigmodel.cn/api/paas/v4/ OPENAI_API_KEY="ZHIPUAI_API_KEY" python gradio_demo.py

Using with OpenAI GPT-4 Model

OPENAI_API_KEY="OPENAI_API_KEY" python gradio_demo.py

and change app.py here:

model="glm-4-0520"  # change to GPT-4o

Not using LLM to refine prompts.

python gradio_demo.py