Falco

 cloned the project and compiled `msbuild btop4win.sln /p:Configuration=Release /p:Platform=ARM64` which creates a 3MB binary.

subscribed :) I am struggling to get ffmpeg running with emulated audacity x64 on windows arm64

did you find a reason/solution for that error? ```def dist_to_p(t_glob: np.ndarray, path: list, p: np.ndarray): s = interpolate.splev(t_glob, path) # s will be an array of arrays return spatial.distance.euclidean(p, s)...

Device model and GPU driver version HP OmniBook X Laptop 16 GB RAM, more details see dxdiag.txt Steps to reproduce: starting AI Gallery App -> chose Image creation; the only...

just re-downloaded it and tried and now got an err msg adressing too low memory resources: Type: OnnxRuntimeException Message: [ErrorCode:RuntimeException] Exception during initialization: C:\__w\1\s\win-onnxruntime\onnxruntime\core\providers\dml\DmlExecutionProvider\src\FusedGraphKernel.cpp(70)\onnxruntime.DLL!00007FFE8B2EC74C: (caller: 00007FFE8B2EB124) Exception(2) tid(2f90) 8007000E F�r...

switched to "use CPU" instead of GPU makes it work, slow but no crash.

https://github.com/user-attachments/files/23452833/DxDiag.txt my attachment is a pretty plain txt file??! here again but zipped: [DxDiag.zip](https://github.com/user-attachments/files/23471199/DxDiag.zip) I agree, 16 GB is a bit on the low side but work pretty well on...

``` Type: OnnxRuntimeException Message: [ErrorCode:Fail] Failed to finalize QNN graph. StackTrace: at Microsoft.ML.OnnxRuntime.InferenceSession.Init(String modelPath, SessionOptions options, PrePackedWeightsContainer prepackedWeightsContainer) at AIDevGallery.Samples.SharedCode.StableDiffusionCode.TextProcessing.c__DisplayClass5_0.d.MoveNext() --- End of stack trace from previous location --- at...

completely different Laptop (Surface Book 3 15") , 32 GB, NVidia GTX 6 GB, pretty similar behaviour at image creation, same model, GPU selected, crashes without warning and make system...

32 GB Laptop but only 4GB RTX in this case it's probably obviously not possible to squeeze the 5 GB model into it. It was crashing before but worked after...