DeepFaceLab 2.0 Installation Tutorial (AMD NVIDIA Intel HD)

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, 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: Download DeepFaceLab 2.0: NVIDIA CUDA Capability List: More DeepFaceLab Deepfake Tutorials: 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...