Text2Video-Zero is azero sampleText-to-Video Generator, by leveraging existing text-to-image synthesis methods, proposes a low-cost method (without any training or optimization) to make it applicable to the video domain.
Experiments show that our method performs reasonably well despite not being trained on additional video data.
- Clone the repository and enter the directory:
git clone https://github.com/Picsart-AI-Research/Text2Video-Zero.git cd Text2Video-Zero/
- Use Python 3.9 installation requirements
virtualenv --system-site-packages -p python3.9 venv source venv/bin/activate pip install -r requirements.txt
To run inference, create an instance of
import torch from model import Model model = Model(device = "cuda", dtype = torch.float16)
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