Video-P2P VS TokenFlow

Compare Video-P2P vs TokenFlow and see what are their differences.

Video-P2P

Video-P2P: Video Editing with Cross-attention Control (by dvlab-research)
Image Editing stable-diffusion text-driven-editing video-editing generative-model
Source Code
video-p2p.github.io
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TokenFlow

Official Pytorch Implementation for "TokenFlow: Consistent Diffusion Features for Consistent Video Editing" presenting "TokenFlow" (ICLR 2024) (by omerbt)
stable-diffusion text-to-image text-to-video video-editing tokenflow
Source Code
diffusion-tokenflow.github.io
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Video-P2P TokenFlow
1 1
332 1,468
2.7% -
3.0 6.2
about 2 months ago 4 months ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Video-P2P

Posts with mentions or reviews of Video-P2P. We have used some of these posts to build our list of alternatives and similar projects.

TokenFlow

Posts with mentions or reviews of TokenFlow. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Video-P2P and TokenFlow you can also consider the following projects:

LAMP - Official implement code of LAMP: Learn a Motion Pattern by Few-Shot Tuning a Text-to-Image Diffusion Model (Few-shot-based text-to-video diffusion)

Video-Motion-Customization - VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models (CVPR 2024)

TokenFlow vs LAMP TokenFlow vs Video-Motion-Customization