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@ -14,11 +14,13 @@ bitcoin:31mPd6DxPCzbpCMZk4k1koWAbErSyqkAXr
### **Features**: ### **Features**:
- standalone zero dependencies ready to work prebuilt binary for all windows versions, see below
- new models - new models
- new architecture, easy to experiment with models - new architecture, easy to experiment with models
- face data embedded to png files - face data embedded to JPG files
- cpu mode. 8th gen Intel core CPU able to train H64 model in 2 days. - cpu mode. 8th gen Intel core CPU able to train H64 model in 2 days.
@ -28,20 +30,16 @@ bitcoin:31mPd6DxPCzbpCMZk4k1koWAbErSyqkAXr
- converter in parallel - converter in parallel
- added **--debug** option for all stages - **--debug** option for all stages
- added **MTCNN extractor** which produce less jittered aligned face than DLIBCNN, but can produce more false faces. Comparison dlib (at left) vs mtcnn on hard case: - **MTCNN extractor** which produce less jittered aligned face than DLIBCNN, but can produce more false faces. Comparison dlib (at left) vs mtcnn on hard case:
![](https://i.imgur.com/5qLiiOV.gif) ![](https://i.imgur.com/5qLiiOV.gif)
MTCNN produces less jitter. MTCNN produces less jitter.
- added **Manual extractor**. You can fix missed faces manually or do full manual extract: - **Manual extractor**. You can fix missed faces manually or do full manual extract:
![](https://github.com/iperov/DeepFaceLab/blob/master/doc/manual_extractor_0.jpg) ![](https://github.com/iperov/DeepFaceLab/blob/master/doc/manual_extractor_0.jpg)
![Result](https://user-images.githubusercontent.com/8076202/38454756-0fa7a86c-3a7e-11e8-9065-182b4a8a7a43.gif) ![Result](https://user-images.githubusercontent.com/8076202/38454756-0fa7a86c-3a7e-11e8-9065-182b4a8a7a43.gif)
- standalone zero dependencies ready to work prebuilt binary for all windows versions, see below
### Warning: **Facesets** of FaceSwap or FakeApp are **not compatible** with this repo. You should to run extract again.
### **Model types**: ### **Model types**:
- **H64 (2GB+)** - half face with 64 resolution. It is as original FakeApp or FaceSwap, but with new TensorFlow 1.8 DSSIM Loss func and separated mask decoder + better ConverterMasked. for 2GB and 3GB VRAM model works in reduced mode. - **H64 (2GB+)** - half face with 64 resolution. It is as original FakeApp or FaceSwap, but with new TensorFlow 1.8 DSSIM Loss func and separated mask decoder + better ConverterMasked. for 2GB and 3GB VRAM model works in reduced mode.
@ -199,11 +197,21 @@ Best practice for dst faces:
### **Ready to work facesets**: ### **Ready to work facesets**:
Nicolas Cage 4 facesets (1 mix + 3 different), Steve Jobs, Putin Nicolas Cage, Steve Jobs, Putin, Elon Musk. https://mega.nz/#F!y1ERHDaL!PPwg01PQZk0FhWLVo5_MaQ
download from here: https://mega.nz/#F!y1ERHDaL!PPwg01PQZk0FhWLVo5_MaQ ### **CPU only mode**
### Video tutorials for prebuilt windows binary CPU mode enabled by arg --cpu-only for all stages. Follow requirements-cpu.txt to install req packages.
Do not use DLIB extractor in CPU mode, it's too slow.
Only H64 or SAE (with low settings) models reasonable to train on home CPU.
### Prebuilt windows app:
Windows 7,8,8.1,10 zero dependency (just install/update your GeForce Drivers) prebuilt DeepFaceLab (include GPU and CPU versions) can be downloaded from
1) torrent https://rutracker.org/forum/viewtopic.php?p=75318742 (magnet link inside).
2) https://mega.nz/#F!b9MzCK4B!zEAG9txu7uaRUjXz9PtBqg
### Video tutorials for prebuilt windows app:
Basic workflow: https://www.youtube.com/watch?v=K98nTNjXkq8 Basic workflow: https://www.youtube.com/watch?v=K98nTNjXkq8
@ -219,21 +227,9 @@ dlib==19.10.0 from pip compiled without CUDA. Therefore you have to compile DLIB
Command line example for windows: `python setup.py install -G "Visual Studio 14 2015" --yes DLIB_USE_CUDA` Command line example for windows: `python setup.py install -G "Visual Studio 14 2015" --yes DLIB_USE_CUDA`
### **CPU only mode**
CPU mode enabled by arg --cpu-only for all stages. Follow requirements-cpu.txt to install req packages.
Do not use DLIB extractor in CPU mode, its too slow.
Only H64 model reasonable to train on home CPU.
### Mac/linux/docker script support. ### Mac/linux/docker script support.
This repo supports only windows build of scripts. If you want to support mac/linux/docker - create fork, it will be referenced here. If you want to support mac/linux/docker - create fork, it will be referenced here.
### Prebuilt windows app:
Windows 7,8,8.1,10 zero dependency (just install/update your GeForce Drivers) prebuilt DeepFaceLab (include GPU and CPU versions) can be downloaded from
1) torrent https://rutracker.org/forum/viewtopic.php?p=75318742 (magnet link inside).
2) https://mega.nz/#F!b9MzCK4B!zEAG9txu7uaRUjXz9PtBqg
### Communication groups: ### Communication groups: