


SRC set/SRC dataset/Source dataset/SRC faces - extracted faces (square ratio image file of the source face that contains additional data like landmarks, masks, xseg labels, position/size/rotation on original frame) of the person we are trying to swap into a video.ĭST - always refers to content (frames, faces) from the target video (or DST/DST video) we are swapping faces in.ĭST set/DST dataset/Target dataset/DST faces - collection of extracted faces of the target person whose faces we will be replacing with likeness of SRC, same format and contains the same type of data as SRC faces.įrames - frames extracted from either source or target videos, after extraction of frames they're placed inside "data_src" or "data_dst" folders respectively.įaces - SRC/DST images of faces extracted from original frames derived from videos or photos used. SRC - always refers to content (frames, faces) of the person whose face we are trying to swap into a target video or photo. workspace - this is where your models, videos, frames, datasets and final video outputs are._internal - internal files, stuff that makes DFL work, No Touchy!.bat, these scripts are used to run various processes required to create a deepfakes, in the main folder you'll see them and 2 folders: for modern AMD cards use "DeepFaceLab_DirectX12" build (may not work on some older AMD GPUs). for Nvidia RTX 3000-4000 series cards and other GPUs utilizing the same architectures use "DeepFaceLab_NVIDIA_RTX3000_series" build. for Nvidia GTX 900-1000 and RTX 2000 series and other GPUs utilizing the same architectures as those series use "DeepFaceLab_NVIDIA_up_to_RTX2080Ti" build. Download correct build of DFL for your GPU (build naming scheme may change): Make sure to enable Hardware-Accelerated GPU Scheduling under Windows 10/11 and ensure your gpu drivers are up-to-date.Ģ.

plenty of storage space and large pagefile modern Nvidia or AMD GPU with 8GB of VRAM

modern 4 core CPU supporting AVX and SSE instructions Minimum requirements for making very basic and low quality/resolution deepfakes: Windows 10 is generally recommended for most users but more advanced users may want to use Linux to get better performance. Usage of Deep Face Lab 2.0 requires high performance PC with modern GPU, ample RAM, storage and fast CPU.
