I love SD but the pain is real

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

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  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
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  • stable-diffusion-webui

    Stable Diffusion web UI

  • Or you just copy in this link and never complain about this stuff again stable diffusion for all!!!!

  • stable-diffusion-webui-colab

    stable diffusion webui colab

  • Anyone can download and set up SD, from anywhere. We have multiple one-click SD installers, and one-click online versions. The barrier of entry is low, and it's only going to get easier over time.

  • WorkOS

    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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  • hivemind

    Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

  • https://github.com/learning-at-home/hivemind https://twitter.com/SamuelAinsworth/status/1569719494645526529 Technically, you can. It'll just require someone to write the code. Someone who understands neural networks well enough to do so.

  • artbot-for-stable-diffusion

    A front-end GUI for interacting with the AI Horde / Stable Diffusion distributed cluster

  • Merge-Stable-Diffusion-models-without-distortion

    Adaptation of the merging method described in the paper - Git Re-Basin: Merging Models modulo Permutation Symmetries (https://arxiv.org/abs/2209.04836) for Stable Diffusion

  • git-re-basin

    Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"

  • Wouldn't "applying the permutation" simply swap all the parameters in a model so they match on both models? For example, in https://github.com/samuela/git-re-basin/blob/main/src/cifar10_vgg_weight_matching.py, on line 184 they apply the permutation, and on line 192 they lerp from model A's params to the permuted model B's params. This lerp is basically a weighted sum merge, isn't it? At a lerp of 0.5, it would be somewhere in between model A and the permuted model B.

  • InvokeAI

    InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

  • Look into InvokeAI, pretty nice looking IMO... https://invoke-ai.github.io/InvokeAI/

  • 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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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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