arielreplicate / deoldify_video

Add colours to old video footage.

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  • 4.2K runs
  • GitHub
  • License



Run time and cost

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 7 minutes. The predict time for this model varies significantly based on the inputs.



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About DeOldify

Simply put, the mission of this project is to colorize and restore old images and film footage. We’ll get into the details in a bit, but first let’s see some pretty pictures and videos!

something to keep in mind- historical accuracy remains a huge challenge!

About the model

The video model is optimized for smooth, consistent and flicker-free video. This would definitely be the least colorful of the three models, but it’s honestly not too far off from “stable”. The model is the same as “stable” in terms of architecture, but differs in training. It’s trained for a mere 2.2% of Imagenet data once at 192px, using only the initial generator/critic pretrain/GAN NoGAN training (1 hour of direct GAN training).


All code in this repository is under the MIT license as specified by the LICENSE file.