TokenFlow: Consistent Diffusion Features for Consistent Video Editing

Understand

The generative AI revolution has recently expanded to videos.

• Nevertheless, current state-of-the-art video models are still lagging behind image models in terms of visual quality and user control over the generated content.
• In this work, we present a framework that harnesses the power of a text-to-image diffusion model for the task of text-driven video editing.
• Specifically, given a source video and a target text-prompt, our method generates a high-quality video that adheres to the target text, while preserving the spatial layout and motion of the input video.