Faceswap Forum

Yes, if we get confirmation that it works with users, we can implement it automatically. But we want to be sure it fixes the problem before we put in the workaround.

Good examples of what can be done with FS + some post processing. Also a cool Behind The Scenes of the action. Check it out.

Latency really kills any gains sharing training would give. Synchronizing the two systems would be very slow and would effectively be slower than a single system in many cases.

Detection takes longer, it's a harder problem iterating over the image in multiple resolutions to find faces. It's more than 10x longer to do than landmarks. That's all.

This is usually a sign of an overclocked GPU. The other option is exploding gradients that recovered -- which is far more rare. The fact it was uniform for A and B tells me the GPU is more likely the culprit.

Nice buildout, too bad about the high prices on your side of the planet.