diff --git a/doc/user_faq/user_faq.md b/doc/user_faq/user_faq.md index 4d9ee95..eb83d9d 100644 --- a/doc/user_faq/user_faq.md +++ b/doc/user_faq/user_faq.md @@ -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. @@ -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