1.4 KiB
Features:
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works on AMD, NVIDIA, IntelHD graphics and all OpenCL1.2-compatible videocards with at least 256M video memory. Of course, the more memory available, the better quality you will get.
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CPU-only mode [
--cpu-mode]. 8th gen Intel core CPU able to train H64 model in 2 days. -
Windows build is standalone ready to work program and contains all dependencies (CUDA, OpenCL, ffmpeg, .bat script etc) to start working
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New models expanding upon the original faceswap model.
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Model architecture designed with experimentation in mind.
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Face metadata embedded into extracted JPG files.
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Extractor and Converter run in parallel.
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Debug mode option for all stages: [
--debug] -
Multiple extraction modes: MTCNN, dlib, or manual.
Extractor Examples
MTCNN
Predicts faces more uniformly than dlib, resulting in a less jittered aligned output. However, MTCNN extraction will produce more false positives.
Comparison dlib (at left) vs mtcnn on hard case:
- Manual Extractor
A manual extractor is available. This extractor uses the preview GUI to allow the user to properly align detected faces.
This mode can also be used to fix incorrectly extracted faces. Manual extraction can be used to greatly improve training on face sets that are heavily obstructed.
