Faceswap Forum

Hello, in the last month I was able to install FaceSwap, but using only the CPU, not my nvidia card since it failed to install with it due to a driver conflict.

For a start, I wanted to do something very simple like changing a single image, but the software would not work with single images, just videos, so I made a 5 second video of a single image for both source and destination.

So far training is up to 128k + but I don't see good results if I stop the training and do the conversion.

I used a simple tutorial from youtube. If any recommends changes in the setting for training, do I have to start all over ?

These are the settings I used:

EXTRACT

• VideoA
  Extract faces from VideoA to ImgA

• VideoB
  Extract faces from VideoB to ImgB

• detector and aligner plugin set to S3Fd & Fan

• masker set Unet-Dfl, VGG Clear & VGG-Obstructed

Start "Extract"

• Generates: **A_alignments.fsa & **B_alignments.fsa

---

TRAIN

• Faces/InputA <- ImgA (original)

  Face/Alignments A <- **A_alignments.fsa

• Faces/InputB <- ImgB (replace A with B)

  Face/Alignments B <- **B_alignments.fsa

• Model <- set to model Dir (ModelAB)

• Trainer set to * original

• Timelapse Input A <- ImgA

• Timelapse Input B <- ImgB

• Timelapse Output <- TimelapseFaceAB (make dir)

• save project

Start "Train"

---

CONVERT

• Data/ Input Dir <- VideoA

• Data/ Output Dir <- Dest Dir

• Data/ Model Dir <- ModelAB Dir

• Color Adjustment

  Set AVG-Color (o Match-Hist)

• Mask Type

  Set Extended

• Writer

  Set FFmpeg

Start "Convert"

You can't train Faceswap on a single image. The Neural Network needs lots of images at a high variety of data. Lots of identical images are not going to get it anywhere.

Related: viewtopic.php?f=27&t=831