nazmul-karim170/SAVE
Implementation of "SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-guided Video Editing" Paper
This project helps video creators and marketers quickly edit videos based on text descriptions. You provide an existing video and a text prompt describing the desired changes, and it generates an edited video with those modifications. It's designed for anyone needing fast, high-quality video transformations without extensive manual editing.
No commits in the last 6 months.
Use this if you need to make rapid, text-guided edits to videos, such as changing elements or styles, and want to save significant time compared to traditional methods.
Not ideal if you require frame-by-frame precision for highly complex or artistic edits, or if you prefer a traditional video editing suite with full manual control.
Stars
10
Forks
1
Language
Python
License
MIT
Category
Last pushed
Oct 21, 2024
Commits (30d)
0
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