DeepFaceLab 2.0 Installation Tutorial (AMD NVIDIA Intel HD)

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DeepFaceLab 2.0 Installation Guide for AMD, NVIDIA, Intel HD, and CPU. How to download and install DeepFaceLab 2.0 deepfake software for Windows, Linux, and Google Colab.

This guide will show you where to download DeepFaceLab deepfake software, which build version you should choose, explain system requirements and optimizations, and briefly summarize the software. Available DeepFaceLab builds include NVIDIA RTX 3000, NVIDIA up to 2080 Ti, DirectX 12 (AMD, Intel HD, NVIDIA), and OpenCL (DFL 1.0). DFL 2.0 can run on Windows 10, Linux, Google Colab, and other cloud machine learning platforms.

0:00 Where to Download DeepFaceLab 2.0
0:30 Choosing a Build Version
2:16 System Requirements and Optimization
3:40 DeepFaceLab Software Overview

DeepFaceLab GitHub:
https://github.com/iperov/DeepFaceLab

Download DeepFaceLab 2.0: https://mega.nz/folder/Po0nGQrA#dbbttiNWojCt8jzD4xYaPw/aff=HdGZWu7rIkw

Text Version of this DeepFaceLab Install Guide: https://www.reddit.com/r/DeepFakesSFW/wiki/guides/deepfacelab/builds

NVIDIA CUDA Capability List:
https://developer.nvidia.com/cuda-gpus

More DeepFaceLab Deepfake Tutorials:
https://www.youtube.com/playlist?list=PLLqzaOTf8gCW3SIojJOZE_89kIPEXDNBg

DeepFaceLab System Requirements:

DeepFaceLab 2.0 NVIDIA RTX 3000 series build specifically supports (and requires) an NVIDIA 3000 series GPU.

DeepFaceLab NVIDIA up to RTX 2080 TI build supports an NVIDIA GPU with CUDA 3.5 and higher.
You can also train on a CPU with AVX instruction set. The file labeled ’10: make CPU only’ will modify your software, by installing an older version of TensorFlow. An internet connection is temporarily required for this update.

The DeepFaceLab Direct X 12 build can be used with AMD, Intel, and NVIDIA devices with Direct X 12 running on Windows 10. Supported hardware includes AMD Radeon R5, R7, and R9 200 series or newer, Intel HD Graphics 500 series or newer, and NVIDIA G-Force GTX 900 series or newer.

If you are unable to run any of these builds you can try the DeepFaceLab 1.0 OpenCL build. This version is no longer maintained, and many of the files and options will differ from the current builds.

There is also a version of DeepFaceLab for Google Colab. You can use DeepFaceLab without a GPU by training for free in the cloud using Google Colab, however you will still need one of the desktop versions to prepare your files.

Subscribe for more deepfakes: https://www.youtube.com/channel/UCwLnn3Myal9USHSm2LbLM7g?sub_confirmation=1
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