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iperov 2019-01-12 15:29:34 +04:00
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README.md
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@ -1,5 +1,9 @@
## **DeepFaceLab** is a tool that utilizes deep learning to recognize and swap faces in pictures and videos. ## **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.
[![Donate](https://www.paypalobjects.com/en_US/RU/i/btn/btn_donateCC_LG.gif)](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=KK5ZCH4JXWMQS&source=url) Goal: RTX 2080 TI
### **Features**: ### **Features**:
- new models - new models
@ -176,7 +180,3 @@ This repo supports only windows build of scripts. If you want to support mac/lin
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). 1) torrent https://rutracker.org/forum/viewtopic.php?p=75318742 (magnet link inside).
2) https://mega.nz/#F!b9MzCK4B!zEAG9txu7uaRUjXz9PtBqg 2) https://mega.nz/#F!b9MzCK4B!zEAG9txu7uaRUjXz9PtBqg
If you like this software, please consider a donation.
[![Donate](https://www.paypalobjects.com/en_US/RU/i/btn/btn_donateCC_LG.gif)](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=KK5ZCH4JXWMQS&source=url) Goal: RTX 2080 TI

3
nnlib/nnlib.py
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@ -129,6 +129,9 @@ NLayerDiscriminator = nnlib.NLayerDiscriminator
if nnlib.tf is not None: if nnlib.tf is not None:
return nnlib.code_import_tf return nnlib.code_import_tf
if not nnlib.device.hasNVML():
print ("nvml.dll not found. Reinstall Geforce video drivers.")
if 'TF_SUPPRESS_STD' in os.environ.keys() and os.environ['TF_SUPPRESS_STD'] == '1': if 'TF_SUPPRESS_STD' in os.environ.keys() and os.environ['TF_SUPPRESS_STD'] == '1':
suppressor = std_utils.suppress_stdout_stderr().__enter__() suppressor = std_utils.suppress_stdout_stderr().__enter__()
else: else: