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update training instruction

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iperov 2022-09-09 12:48:20 +04:00
commit 5eb9ad130e
1 changed files with 8 additions and 18 deletions
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doc/user_faq/user_faq.md
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@ -73,9 +73,7 @@ Make a backup before every stage !
5. continue train +500.000, (optional) deleting inter_AB.npy every 100.000 (save, delete, continue run)
6. random_warp:OFF, train +500.000
7. GAN 0.1 power, patch size 28, gan_dims:32. Train until the src loss value has not increased in the last 12 hours.
6. random_warp:OFF, GAN 0.1 power, patch size 28, gan_dims:32. Train +700.000
> Using SAEHD model from scratch.
@ -87,19 +85,15 @@ Make a backup before every stage !
2. place your celeb to workspace/data_src/aligned
3. train +500.000 deleting inter_AB.npy every 100.000 (save, delete, continue run)
3. train +1.000.000 deleting inter_AB.npy every 100.000 (save, delete, continue run)
4. train +500.000
4. place your faceset to workspace/data_dst/aligned
5. place your faceset to workspace/data_dst/aligned
5. do not delete anything, continue train +500.000
6. do not delete anything, continue train +500.000
6. random_warp:OFF, GAN 0.1 power, patch size 28, gan_dims:32. Train +700.000
7. random_warp:OFF, train +500.000
8. GAN 0.1 power, gan_dims:32, Train until the src loss value has not increased in the last 12 hours.
9. export the model in .dfm format for use in DeepFaceLive. You can also try ordering a deepfake model from someone in Discord or forum.
7. export the model in .dfm format for use in DeepFaceLive. You can also try ordering a deepfake model from someone in Discord or forum.
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<tr><td colspan=2 align="center">
@ -127,9 +121,7 @@ Make a backup before every stage !
4. do not change settings, train +500.000 iters, + deleting inter_AB.npy every 100.000 (save, delete, continue run)
5. random_warp OFF, train +500.000
6. GAN 0.1 power, patch size 28, gan_dims:32. Train until the src loss value has not increased in the last 12 hours.
5. random_warp:OFF, GAN 0.1 power, patch size 28, gan_dims:32. Train +700.000
> Using SAEHD model from scratch
@ -145,9 +137,7 @@ Make a backup before every stage !
4. random_warp still ON, train +500.000
5. random_warp:OFF, train +500.000
6. GAN 0.1 power, gan_dims:32. Train until the src loss value has not increased in the last 12 hours.
5. random_warp:OFF, GAN 0.1 power, patch size 28, gan_dims:32. Train +700.000
> reusing trained SAEHD RTM model