Improving Wav2Lip results with DeepFaceLab CHECK THIS OUT

[youngt913]

https://www.youtube.com/watch?v=Kwhqj93wyXU

[sokffa]

Does this need too much training data to get results like these. I'm sure there's a pre trained model just for Natalie portman. I wonder if we can train the DFL using just a video of 2 minutes in the training

[youngt913]

I don't think i just found this out today I don't know what to do, i got my wav2lip video i created, he said use wav2lip-gan video as DST for deepfacelab, i don't know where to start

[Twenkid]

It is a good idea, DFL serves as a restoration, it reconstructs the proper shapes, as it also usually "de-agifies" the faces, because the models average/smooth the featuers.

I had a related idea, but syncing without wav2lips and letting DFL smooths a rough-rendered lips or smooths the artifacts.

@sokffa Re the too much data - I guess no. It depends on the video, also you can create a medley from many sources and pack a very good set in 2 minutes (or better the respective frames, not all in a video, because they could be from very different sources, lighting etc.).

25 or 30 fps x 120s is 3000 - 3600 frames, which is decent (especially for deepfakes of interviews like this in constant light etc.)

E.g. check the demo films of my modified version of DFL 2 for grayscale images: http://github.com/twenkid/Deepfacelab-SAEHDBW

My faceset with Arnold has just about that amount of faces, the model is 192x192.