update readme

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plucky 2018-12-29 22:32:23 +08:00
commit c98e61a4c7

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@ -88,11 +88,11 @@ MIAEF128 Cage fail case:
![](https://github.com/iperov/DeepFaceLab/blob/master/doc/MIAEF128_Cage_fail.jpg)
- **AVATAR (4GB+)** - non GAN, 256x256 face controlling model.
- **AVATAR (4GB+)** - non GAN, 256x256 face controlling model.
![](https://github.com/iperov/DeepFaceLab/blob/master/doc/AVATAR_Navalniy_0.jpg)
Video:
Video:
[![](https://img.youtube.com/vi/3M0E4QnWMqA/0.jpg)](https://www.youtube.com/watch?v=3M0E4QnWMqA)
@ -124,7 +124,7 @@ Conclusion: **better not to mix and use only same shape faces with same light**
`hist-blur` sort by blur in groups of similar content
`brightness`
`brightness`
`hue`
@ -166,12 +166,15 @@ Only H64 model 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
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 tutorial: https://www.youtube.com/watch?v=K98nTNjXkq8
### For Mac Users
Check out [DockerCPU.md](DockerCPU.md) for more detailed instructions.
### **Windows 10 memory problem:
Windows 10 consumes % of VRAM even if card unused for video output.