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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.
Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation. (from pypi)
Currently, SDXL is not supported.
This feature is EXPERIMENTAL. If you run this, your existing installation may be broken. Run it in a new installation or in a new virtual environment.
You should switch branch to olive.
You don't need to modify your commandline arguments.
Go to System tab → Diffusers Settings and set Diffusers pipeline to ONNX Stable Diffusion (Olive).
Model optimization occurs automatically before creation.
Target models can be .safetensors, .ckpt, Diffusers and the optimization takes 5-10 minutes depending on your system.
The optimized models are automatically cached and used later to create images of the same size (height and width).
If your system memory is not enough to optimize model
Go to Models → Huggingface tab and download optimized model.
There's an optimized version of runwayml/stable-diffusion-v1-5.