PyTorch 2.0 Release

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • diffusers

    🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  • In `diffusers` implementations (like InvokeAI) its pretty easy: https://github.com/huggingface/diffusers/blob/42beaf1d23b5cc...

    But I also compile the VAE and some other modules, I will reply again later when I can look at my local code.

    For the Automatic1111 repo (and presumably other original Stability AI implementations), I just add `m.model

  • stable-diffusion-webui

    Stable Diffusion web UI

  • = torch.compile(m.model)` here: https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...

    I tried changing the options in the config dict one by one, but TBH nothing seems to make a significant difference.

    I also havent messed with compiling LORA training yet, as I havent done it often as is sufficiently fast, but I'm sure it could be done.

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  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • This is the master tracking list for MPS operator support: https://github.com/pytorch/pytorch/issues/77764

  • detectron2

    Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  • I could fine-tune a Detectron2 model a few months ago using PyTorch and MPS backend [1]. I'd be interested if it's working yet.

    https://github.com/facebookresearch/detectron2/issues/4342

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