List of all the ways to improve performance for stable diffusion.

This page summarizes the projects mentioned and recommended in the original post on /r/StableDiffusion
Python JS

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  • tomesd

    Speed up Stable Diffusion with this one simple trick!

    • They show up to 5.4 times greater: you can see his results in the image on the github repo here: https://github.com/dbolya/tomesd

  • AITemplate

    AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

    • let me know if you discover any more ways to improve SD. I am currently looking into facebooks AITemplate : https://github.com/facebookincubator/AITemplate

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • stable-diffusion-webui

    Stable Diffusion web UI

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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