![]() ![]() Sometimes, 32G of system memory is barely enough. More ram is required to support higher resolution. Only 32-bit data is supported in MPS, which slows down the training process.It’s a sign that GPU is not fully optimized( or the CPU is too fast?) Running on GPU is only about 5-6 times faster than it on CPU. I have to move some operations to the CPU. Apple’s MPS support is not complete and there are bugs to be fixed.A complete guide I can find on the web is. If you follow the steps to install DeepFaceLab, it should work without Scene Selector. ![]() How to merge it back after the materials are processed. How to prepare a movie, and throw the extracted frames to DeepFaceLab.How to import faces, correct them ,and export to DeepFaceLab for their process.The script does not work on Intel platform. A simple script is provide to install all required packages. An introduction to how to prepare the environment from ground-up for M1 Mac.As Apple started supporting TensorFlow and PyTorch metal, making the tool compatible with macOS is easier. In the previous article, the acceleration depends on PlaidML which used OpenCL. Deepfake evolutes very fast, previous tricks depend on the alignment file that does not work anymore.Ī more intuitive tool -DeepFaceLab which claims 90% of face swapping works on the internet were done by the tool. ![]() The previous article introduced how to do a face swap with the Deepfake repository. ![]()
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