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  1. maple-diffusion maple-diffusion Public

    Stable Diffusion inference on iOS / macOS using MPSGraph

    Swift 780 51

  2. taesd taesd Public

    Tiny AutoEncoder for Stable Diffusion

    Python 378 22

  3. dino-diffusion dino-diffusion Public

    Bare-bones diffusion model code

    Jupyter Notebook 120 9

  4. Stable Diffusion on Apple Silicon GP... Stable Diffusion on Apple Silicon GPUs via CoreML; 2s / step on M1 Pro
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    # ------------------------------------------------------------------
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    # EDIT: I eventually found a faster way to run SD on macOS, via MPSGraph (~0.8s / step on M1 Pro):
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    #   https://github.com/madebyollin/maple-diffusion
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    # The original CoreML-related code & discussion is preserved below :)
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    # ------------------------------------------------------------------
  5. List of good image generator trainin... List of good image generator training logs
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    # List of good image generator training logs
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    A list of public training logs from neural network image generation models, since I think they're interesting.
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    ## The Criteria
  6. variational_autoencoders_will_never_... variational_autoencoders_will_never_work.md
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    # Variational Autoencoders Will Never Work
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    So you want to generate images with neural networks. You're in luck! VAEs are here to save the day. They're simple to implement, they generate images in one inference step (unlike those awful slow autoregressive models) and (most importantly) VAEs are πŸš€πŸŽ‰πŸŽ‚πŸ₯³ **theoretically grounded** πŸš€πŸŽ‰πŸŽ‚πŸ₯³ (unlike those scary GANs - don't look at the GANs)!
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    ## The idea