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DeepFaceLab is the leading software for creating deepfakes.
Fixed bug when SAE can be collapsed during a time. SAE: removed CA weights and encoder/decoder dims. added new options: Encoder dims per channel (21-85 ?:help skip:%d) More encoder dims help to recognize more facial features, but require more VRAM. You can fine-tune model size to fit your GPU. Decoder dims per channel (11-85 ?:help skip:%d) More decoder dims help to get better details, but require more VRAM. You can fine-tune model size to fit your GPU. Add residual blocks to decoder? (y/n, ?:help skip:n) : These blocks help to get better details, but require more computing time. Remove gray border? (y/n, ?:help skip:n) : Removes gray border of predicted face, but requires more computing resources. |
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.github | ||
converters | ||
doc | ||
facelib | ||
imagelib | ||
interact | ||
joblib | ||
localization | ||
mainscripts | ||
mathlib | ||
models | ||
nnlib | ||
samples | ||
utils | ||
.gitignore | ||
CODEGUIDELINES | ||
LICENSE | ||
main.py | ||
README.md | ||
requirements-cpu.txt | ||
requirements-cuda.txt | ||
requirements-opencl.txt |
DeepFaceLab is a tool that utilizes deep learning to recognize and swap faces in pictures and videos.
If you like this software, please consider a donation.
Goal: RTX 2080 TI
bitcoin:31mPd6DxPCzbpCMZk4k1koWAbErSyqkAXr
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Manuals:
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Prebuilt windows app
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Ready to work facesets
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Build and repository info
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Communication groups:
(Chinese) QQ group 951138799 for ML/AI experts