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WorkOS
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DirectML
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
ONNX (https://onnx.ai/ https://github.com/onnx/onnx) is an alternative to the basic CUDA model, using Direct-ML ( https://learn.microsoft.com/en-us/windows/ai/directml/dml-intro https://github.com/microsoft/DirectML), which is a microsoft-backed open approach. That is what has allowed AMD cards, even slightly older ones, to join in on the machine learning fun.
You can find NMKD here, and the readme should be quite simple to get it to work on your own machine for a basic SD setup: https://github.com/n00mkrad/text2image-gui
That should include the base stable diffusion 1.5 model, but you can install custom ones if you want from sites like https://civitai.com/
ONNX (https://onnx.ai/ https://github.com/onnx/onnx) is an alternative to the basic CUDA model, using Direct-ML ( https://learn.microsoft.com/en-us/windows/ai/directml/dml-intro https://github.com/microsoft/DirectML), which is a microsoft-backed open approach. That is what has allowed AMD cards, even slightly older ones, to join in on the machine learning fun.
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