RIFE

RIFE is an open-source AI model for video frame interpolation that runs in real time. It stands for Real-Time Intermediate Flow Estimation. You give it two frames, and it draws the frames that should sit between them. This turns 30 FPS video into smooth 60 or 120 FPS, or creates clean slow motion. It is much faster than older methods with similar quality. The code is free under the MIT license. Find it in the official hzwer/ECCV2022-RIFE repo on GitHub.

Key Features

1. Real-Time Speed

RIFE interpolates frames fast enough for live use. It beats older models on speed while keeping quality high.

2. Direct Flow Estimation

It predicts motion between frames in one step. This simpler design is why it runs so much faster.

3. Slow Motion

Stretch any clip into smooth slow motion. New frames fill the gaps so movement never looks choppy.

4. FPS Conversion

Convert 24 or 30 FPS footage to 60, 120, or higher. Old videos feel modern on high-refresh screens.

5. MIT License

Use it in any project, including commercial ones. The MIT license is one of the most permissive available.

6. Wide App Support

RIFE powers interpolation in Flowframes, SVP, and other tools. You can use it without touching code.

Frequently Asked Questions (FAQ)

What does RIFE stand for?

Real-Time Intermediate Flow Estimation. It is the name of both the ECCV 2022 paper and the model it describes.

How is RIFE different from DAIN?

RIFE is much faster and simpler, with similar or better quality on most footage. DAIN can still win on some unusual motion.

Can RIFE run in real time?

Yes, on a decent GPU. That is its main design goal — older interpolation models were far too slow for live use.

Where is the official RIFE repo?

The official repo is hzwer/ECCV2022-RIFE on GitHub. The older hzwer/RIFE address redirects there, so always use the new one.

What can you build with RIFE commercially?

You can use RIFE in commercial apps, videos, and products. The MIT license permits almost any use with very few conditions attached.

Conclusion

RIFE is the standard free model for fast frame interpolation. Its speed makes smooth slow motion practical for everyone, not just labs. The MIT license welcomes commercial use. Use it directly in code or through apps like Flowframes. For real-time interpolation, few options compete. It remains one of the most widely used video AI models in open source tools.