The official implementation of Video-P2P.
Shaoteng Liu, Yuechen Zhang, Wenbo Li, Zhe Lin, Jiaya Jia
- 2023.03.20 Release Demo.
- 2023.03.19 Release Code.
- 2023.03.09 Paper preprint on arxiv.
- Release the code with 6 examples.
- Update a faster version.
- Release data.
- Release the Gradio Demo.
- Add local Gradio Demo.
- Release more configs and new applications.
pip install -r requirements.txt
The code was tested on both Tesla V100 32GB and RTX3090 24GB. At least 20GB VRAM is required.
The environment is similar to Tune-A-Video and prompt-to-prompt.
xformers on 3090 may meet this issue.
Please replace pretrained_model_path with the path to your stable-diffusion.
To download the pre-trained model, please refer to diffusers.
# Stage 1: Tuning to do model initialization.
# You can minimize the tuning epochs to speed up.
python run_tuning.py --config="configs/rabbit-jump-tune.yaml"
# Stage 2: Attention Control
# We develop a faster mode (1 min on V100):
python run_videop2p.py --config="configs/rabbit-jump-p2p.yaml" --fast
# The official mode (10 mins on V100, more stable):
python run_videop2p.py --config="configs/rabbit-jump-p2p.yaml"
Find your results in Video-P2P/outputs/xxx/results.
We release our dataset here.
Download them under ./data and explore your creativity!
configs/rabbit-jump-p2p.yaml | configs/penguin-run-p2p.yaml |
configs/man-motor-p2p.yaml | configs/car-drive-p2p.yaml |
configs/tiger-forest-p2p.yaml | configs/bird-forest-p2p.yaml |
Running the following command to launch the local demo built with gradio:
python app_gradio.py
Find the demo on HuggingFace here. The demo code borrows heavily from Tune-A-Video.
@misc{liu2023videop2p,
author={Liu, Shaoteng and Zhang, Yuechen and Li, Wenbo and Lin, Zhe and Jia, Jiaya},
title={Video-P2P: Video Editing with Cross-attention Control},
journal={arXiv:2303.04761},
year={2023},
}
- prompt-to-prompt: https://github.com/google/prompt-to-prompt
- Tune-A-Video: https://github.com/showlab/Tune-A-Video
- diffusers: https://github.com/huggingface/diffusers