Faceswap Forum

We do not support DFL. Faceswap does get greatly increased speed on a properly setup Multi GPU system. It will not cut your time in half as there are a lot of things that cannot be parallelized but it will reduce total time per iteration.

No, as he said in the description

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Villan model 450K iterations.

Do not do that. It is the exact opposite of what you should do for a quality swap. (Keep A and B separate)

Was it an HDR rip that you were training on? If so you probably gave it different data than the data in the trailer. But I'd first try turning up the brightness and contrast on the trailer to see if you can get a clearer swap, then turn it back in postprocessing.

This is down mostly to your choice of masks. Most masks will keep glasses as long as they're in all the data, but there is no guarantee that they'll look right at the end.

DO NOT RUN FACESWAP WITH ADMIN.

The error is, as you said, a permissions error. This is usually caused by your antivirus or cloud sync software locking this file which is interfering with moving the logs.

viewtopic.php?f=14&t=1043

Except for viewtopic.php?f=14&t=1043 . As long as you stay Nvidia you'll be fine.

viewtopic.php?f=5&t=27#sort

Yes, you can. What you would do is convert once for one face, then use that same video to convert for the second face.

No, the float has gotten "stuck" in a representation of infinity that's used for error states. Local minimums can recover, infinity cannot.

Tensorflow has released 2.4 RC1. This is a good first step toward support. However, we're still waiting on the full version to be released and deployed to pip/Conda.

It's impossible to specify one card vs another to that degree. It depends on a lot. Generally read the guide at the beginning of this thread and if you have SPECIFIC questions feel free to ask. But that's a very vague (and circumstantial) question.

Is it missing frames or is it just going faster?

Yes, go ahead and add data. That's fine and a normal part of training.

With that high of eyebrows you're going to need to increase coverage. They're just too far up the face for default coverage to capture.