README.md

---
title: CogVideoX-2B Huggingface Space
emoji: movie
sdk_version: 4.40.0
suggested_storage: large
app_port: 7860
suggested_hardware: a10g-large
preload_from_hub:
  - THUDM/CogVideoX-2b
models: THUDM/CogVideoX-2b
sdk: gradio
python_version: 3.10
tags:
  - cogvideox
  - video-generation
  - thudm
pinned: true
disable_embedding: false
----
## 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

```shell
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

```shell
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.

```shell
python gradio_demo.py
```