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--- |
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title: CogVideoX-2B |
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emoji: 🎥 |
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colorFrom: yellow |
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colorTo: green |
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sdk: gradio |
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sdk_version: 5.34.2 |
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suggested_hardware: a10g-large |
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suggested_storage: large |
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app_port: 7860 |
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app_file: app.py |
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models: |
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- THUDM/CogVideoX-2b |
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tags: |
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- cogvideox |
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- video-generation |
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- thudm |
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short_description: Text-to-Video |
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disable_embedding: false |
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--- |
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# CogVideoX HF Space |
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## How to run this space |
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CogVideoX does not rely on any external API models. |
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However, during the training of CogVideoX, we used relatively long prompts. To enable users to achieve rendering with |
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shorter prompts, we integrated an LLM to refine the prompts for better results. |
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This step is not mandatory, but we recommend using an LLM to enhance the prompts. |
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### Using with GLM-4 Model |
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```shell |
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OPENAI_BASE_URL=https://open.bigmodel.cn/api/paas/v4/ OPENAI_API_KEY="ZHIPUAI_API_KEY" python gradio_demo.py |
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``` |
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### Using with OpenAI GPT-4 Model |
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```shell |
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OPENAI_API_KEY="OPENAI_API_KEY" python gradio_demo.py |
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``` |
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and change `app.py` here: |
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``` |
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model="glm-4-0520" # change to GPT-4o |
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``` |
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### Not using LLM to refine prompts. |
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```shell |
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python app.py |
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``` |
