DeepFaceLab SAE Benchmarks
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DateUsernameGPU
Batch Size
Resolution
Face Type
Learn Mask
Optimizer Mode
Architecture
ae_dims
ed_ch_dims
Light Encoder
Multiscale
Decoder
Pixel Loss
Face Style
Pwr
BG Style
Pwr
DFL Version
Comments
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3/15/2019dpfksGTX 107024128fullyes1DF51242noyesyes0-100-10
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3/12/2019avalentino93GTX 1080SC4-24128fullyes1DF51242noyesyes0.10.25SAE seems to have issues with multiple side faces. It gets a bit better around 50k+ epochs after messing around with some face/bg styles, but still doesnt seem as good of quality as H128.

Edit: 250k epoch later SAE looking better than H128
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3/15/2019avalentino93GTX 1080SC4256fullyes2DF51242noyesno00313
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3/15/2019titan_rwGTX 1080ti32128fullyes1DF64048noyesyes00311128 res
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3/15/2019dpfksGTX 1080ti32128fullyes1DF51242noyesyes0-100-10
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25/02/2019failfakeGTX 1080ti12128fullyes1VG51242no
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12/03/2019Tesla32XGTX 1080ti16256fullyes1DF76850nonono0100
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13/03/2019andy-gerRTX 20804/16128fullyes1DF51242noyesno/yes10/0.1-510latest
Start with bs=4, face style=10, bg style=10, pixel loss=off.
After ~50000 iterations switch to bs=16, face style=0.1-4, bg style=10, pixel loss=on.
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3/15/2019sodomosoRTX 2080ti8256fullyes3DF60055noyesyes0-100-10313
optimizer_mode = 3 with 32gb RAM
and I7-8700k 5.0ghz
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16/3/2019
celebdeepfakes
RTX 2080ti4128fullyes?DF90051nonono0 - 100313
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12/03/2019kcimitRTX 2080ti16256fullyes2DF76850nonono00
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13/03/19EnyakkRTX 2080ti4256fullyes1DF64085yesyesno00
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20/03/19frosty3907RTX 2080ti16128fullyes1DF51248nonono0-100-10313
32gb RAM / i9-9900k - getting out of memory errors - when trying 256 size
<- reduze catch size to 8 and you can go 256px
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3/21/19StrayNucleusGTX 107016128fullyes1DF51242NOnono00latest
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3/23/2019TalosRTX 208020128fullyes3DF51242noyesyes410
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26/03/19frosty3907RTX 2080ti8256fullyes1DF51242noyesno0-100-10324OOM failure
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26/03/19frosty3907RTX 2080ti8256fullyes2DF51242noyesno0-100-10324OOM failure
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