To deploy and run HunyuanVideoGP locally, you can follow the steps below:
1. Environmental preparedness:
- Create a virtual environment using Conda:
conda env create -f environment.yml - Activate the environment:
conda activate HunyuanVideo - Install pip dependencies:
python -m pip install -r requirements.txt - Optional installation of Flash attention support (Linux is easier to install)
2. Activation and use:
- Start the Gradio server:
bash launch.sh - Accessing the local server in a browser (usually http://localhost:7860)
3. Main operations:
- Select the appropriate profile based on the hardware configuration
- Enter descriptive text in the prompt box
- Click the Generate button to create a video
- Ability to generate multiple videos at once and select the best result
- Support for switching between models
Caveats:
- Recommended NVIDIA GPUs with CUDA support
- Ensure Python and CUDA versions are compatible
- Windows users may need to handle Flash attention installation additionally
- The first run will automatically download the required model files
This answer comes from the articleHunyuanVideoGP: A Hybrid Video Generation Model with Support for Running on Low-End GPUsThe
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