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DirectML
SD.Next includes support for PyTorch-DirectML.
Add --use-directml
on commandline arguments.
For details, go to Installation.
The performance is quite bad compared to ROCm.
If you are familiar with Linux system, we recommend ROCm.
PyTorch-DirectML does not access graphics memory by indexing. Because PyTorch-DirectML's tensor implementation extends OpaqueTensorImpl, we cannot access the actual storage of a tensor.
If you met RuntimeError
with no error message (or empty), please report us via GitHub issue or Discord. (please check whether there's a duplicated issue)
If it works with FP32, please report us via GitHub issue or Discord. (please check whether there's a duplicated issue)
Please report us via GitHub issue or Discord. (please check whether there's a duplicated issue)
Refer to ONNX Runtime