TIGER-AI-Lab/AnyV2V
Code and data for "AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks" [TMLR 2024]
AnyV2V helps video creators and marketers easily modify existing video footage. You provide an original video and a single edited image of that video's first frame, along with a text prompt. The tool then produces a new video with the desired stylistic changes or object modifications, maintaining consistency throughout. This is ideal for content creators, social media managers, and small businesses looking to quickly adapt video content.
649 stars. No commits in the last 6 months.
Use this if you need to edit videos with specific style transfers or object changes based on an image edit and a text prompt, without requiring extensive video editing skills or time-consuming training.
Not ideal if you need frame-by-frame precision editing or complex, multi-layered visual effects.
Stars
649
Forks
49
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 29, 2024
Commits (30d)
0
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