Introduction#
This article briefly introduces StableVideo.
StableVideo is a text-driven consistency-aware diffusion video editing tool.
Main Content#
1. What is StableVideo#
It can modify objects in a video while maintaining their appearance consistency over time.
2. StableVideo Features#
Introduce temporal dependency into the existing text-driven diffusion model to solve this problem, allowing the model to generate temporally consistent appearance for edited objects.
3. Using StableVideo#
- Download and install project dependencies
git clone https://github.com/rese1f/StableVideo.git
conda create -n stablevideo python=3.11
pip install -r requirements.txt
(optional) pip install xformers
The project also provides a CPU-only version.
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Download the pre-trained model
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Download the sample data
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Start testing:
python app.py
4. Conclusion#
Modifying videos directly using SD results in some differences in each frame and inconsistency in time. This project mitigates the side effects of temporal inconsistency by adding a temporal dependency module, making it worth a try.
Finally#
References:
Disclaimer#
This article is for personal learning purposes only.
This article is synchronized with HBlog.