Unofficial Tune-A-Video

A few weeks ago I wrote about the Tune-A-Video paper, a groundbreaking method that can generate a video by using a video-text pair as input prompt. It was truly an exciting development in the field of AI-generated art.

Now, I am thrilled to share some exciting news with you all. A talented individual named bryandlee on GitHub has taken the initiative to release a first unofficial but promising implementation of the Tune-A-Video paper.

The project by bryandlee provides a practical example of how the Tune-A-Video method can be applied in a real-world setting. Although it is an unofficial implementation, it showcases the potential of this innovative technique.

For those interested in exploring the details and trying out this implementation, I highly recommend visiting bryandlee's GitHub repository. There you will find the resources, code, and further information about this exciting project.

The Tune-A-Video paper and its unofficial implementation open up a realm of possibilities for exploring the interplay between videos and text in an AI context. It has the potential to revolutionize the way we create and consume video content, pushing the boundaries of artistic expression.

Stay tuned for more updates and developments in this fascinating field of AI-generated art!