Here is a quick hack to make it work on CPU: https://github.com/983/3d-photo-inpainting

Maxed out at 4 GB RAM for 256x144 images for me.

PyTorch CPU installation instructions: https://pytorch.org/get-started/previous-versions/

OpenCV should work without CUDA. If not, build from source and consider `WITH_CUDA` flag.

Port it from Torch to TensorFlow framework, export the graph to tflite, compile with xla&aot and you end up with a c++ library running on CP.

You could translate this to a non-CUDA GPU, such as a mobile GPU, but even that would require a bit of effort to be able to condense it such that is wasn't a total lag fest. Executing this on CPU seems damn near impossible from a usability standpoint given the large matrix multiplication involved. You really need the parallel capabilities of a GPU.

It relies on torch and openCV: - I have never tried running openCV explicitely on CPU but I believe it is doable. - It is trivial to run torch on CPU instead of GPU (just comment the line that sends the code to the GPU).