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added 1-day-3090 training instruction

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iperov 2022-09-04 20:40:46 +04:00
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doc/user_faq/user_faq.md
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@ -156,6 +156,30 @@ Models that are trained before random_warp:OFF, can be reused. In this case you
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## Is there any way to train a model faster?
You can train a model in 1 day on RTX 3090, sacrificing quality.
> 1-day-3090 training. Using pretrained "RTT model 224 V2.zip" from public storage (see above)
1. place RTM WF Faceset V2 from public storage (see above) to workspace/data_dst/aligned
2. place your celeb to workspace/data_src/aligned
3. place model folder to workspace/model
4. do not change settings, train +25.000 iters
5. delete inter_AB.npy (save, delete, continue run)
6. train +30.000 iters
7. random_warp OFF, GAN 0.1 power, patch size 28, gan_dims:32.
8. Turn off after 24 hours
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## I want to change some code and test the result on my local machine. What I need to do? ## I want to change some code and test the result on my local machine. What I need to do?
There is ready-to-use VSCode editor inside DeepFaceLive folder located in There is ready-to-use VSCode editor inside DeepFaceLive folder located in