![]() ![]() Thank you to our partners for their work enabling Stable Diffusion on DirectML! For more from our partners, see: Performance was measured inside Automatic1111’s webUI. Note that the unoptimized and optimized Stable Diffusion models were in the ONNX format in our tests to ensure an apples-to-apples comparison. These perf wins exist across a range of hardware – up to 2.8x in our tests! Our DirectML extensions means that users can see performance wins after running an Olive optimization pass. See huge performance wins after optimizing for DirectML! ![]() This unlocks the ability to run Automatic1111’s webUI performantly on wide range of GPUs from different vendors across the Windows ecosystem. Specifically, our extension offers DirectML support for the compute-heavy uNet models in Stable Diffusion. ![]() Luckily this webUI supports extensions, and today we’re thrilled to reveal our DirectML extension! We didn’t want to stop there, since many users access Stable Diffusion through Automatic1111’s webUI, a popular and versatile interface for Stable Diffusion. You may remember from this year’s Build that we showcased Olive support for Stable Diffusion, a cutting-edge Generative AI model that creates images from text. Olive is a powerful open-source Microsoft tool to optimize ONNX models for DirectML. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |