SD on intel arc?

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  • intel-extension-for-pytorch

    A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

  • SD requires pytorch support at the very minimum I believe (I got SD to work on my RX 6800 using the ROCm pytorch container), and as you can see here: https://github.com/intel/intel-extension-for-pytorch/issues/244 Intel GPUs simply aren't supported right now on pytorch but support is in the works. So I say just be patient and wait until Intel GPU support for pytorch comes out before trying to make SD work with Intel Arc. :)

  • intel-extension-for-tensorflow

    IntelĀ® Extension for TensorFlow*

  • Actually I was just on GitHub trying to submit issues related to me testing Intel's PyTorch and Tensorflow extensions when I saw this; it seems that someone has already ported SD over to the tensorflow framework and so you can probably start using intel's extension for tensorflow with it immediately; and according to this article you can use Intel's extension within WSL under windows as well. But unfortunately given how the guy whose issue I linked to has been facing pretty serious performance issues of inferencing taking many minutes longer than it should when using an A770 to do SD-related inferencing, you might be better off waiting for intel's extension for tensorflow versions 1.2 and greater or something like that, so that when it's your turn to use it, Intel has already ironed out most of the major bugs within the software :)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • stable-diffusion-tensorflow

    Stable Diffusion in TensorFlow / Keras

  • Actually I was just on GitHub trying to submit issues related to me testing Intel's PyTorch and Tensorflow extensions when I saw this; it seems that someone has already ported SD over to the tensorflow framework and so you can probably start using intel's extension for tensorflow with it immediately; and according to this article you can use Intel's extension within WSL under windows as well. But unfortunately given how the guy whose issue I linked to has been facing pretty serious performance issues of inferencing taking many minutes longer than it should when using an A770 to do SD-related inferencing, you might be better off waiting for intel's extension for tensorflow versions 1.2 and greater or something like that, so that when it's your turn to use it, Intel has already ironed out most of the major bugs within the software :)

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