Péter Major

I am preparing a larger reorganization of the code on a branch to make it more flexible for future development, I will migrate your change once I finish it. Currently...

Not yet, but it sounds interesting, I might look at it when I finish my current side project.

Yes it would be possible to build for Mac, however that will require a few steps: - By looking at [this](https://github.com/axodox/axodox-machinelearning/blob/main/Axodox.MachineLearning.Desktop/Axodox.MachineLearning.Desktop.vcxproj) project file a cmakelist file could be defined with...

This guide from Microsoft suggests that it could work, but I did not try it: https://github.com/microsoft/Olive/tree/main/examples/directml/stable_diffusion

As far as I know there is a limitation that ONNX converted LORA-s weights would be "burned into" the original model, as such it would consume a lot of HDD...

That is weird, those types should come from the directX part of https://github.com/axodox/axodox-common/blob/main/Axodox.Common.Shared/includes.h Can you verify that it is included? Also you might need to run the update_dependencies.ps1 to use...

I have ran update_dependencies.ps1 and committed the results. It will work now.

The issue was that the code was still referencing an older version of axodox-common. On my setup I use env vars to allow simultaneous building of of common, machinelearning and...

You may close the issue, if you see that my latest change resolved it for you.

@alex-aparin Usually VS would prompt you with a GUI to install when opening the solution. You can just open VS installer and install the "C++ (v143) Universal Windows Platform tools"...