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You're reading from  Exploring Deepfakes

Product typeBook
Published inMar 2023
Reading LevelBeginner
PublisherPackt
ISBN-139781801810692
Edition1st Edition
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Authors (2):
Bryan Lyon
Bryan Lyon
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Bryan Lyon

Bryan Lyon is a developer for Faceswap.
Read more about Bryan Lyon

Matt Tora
Matt Tora
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Matt Tora

Matt Tora is a developer for Faceswap.
Read more about Matt Tora

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Technical requirements

As with all machine learning techniques, deepfakes can be created on any PC with a minimum of 4 GB of RAM. However, a machine with 8 GB of RAM or higher and a GPU (a graphics card) is strongly recommended. Training a model on a CPU is likely to take months to complete, which does not make it a realistic endeavor. Graphics cards are built specifically to perform matrix calculations, which makes them ideal for machine learning tasks.

Faceswap will run on Linux, Windows, and Intel-based macOS systems. At a minimum, Faceswap should be run on a system with 4 GB of VRAM (GPU memory). Ideally, an NVIDIA GPU should be used, as AMD GPUs are not as fully featured as their Nvidia counterparts and run considerably slower. Some features that are available for NVIDIA users are not available for AMD users, due to NVIDIA’s proprietary CUDA library being accepted as an industry standard for machine learning. GPUs with more VRAM will be able to run more of the larger...

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Exploring Deepfakes
Published in: Mar 2023Publisher: PacktISBN-13: 9781801810692

Authors (2)

author image
Bryan Lyon

Bryan Lyon is a developer for Faceswap.
Read more about Bryan Lyon

author image
Matt Tora

Matt Tora is a developer for Faceswap.
Read more about Matt Tora