My easy-to-install Windows GUI for Stable Diffusion is ready for a beta release! It supports img2img as well, various samplers, can run multiple scales per image automatically, and more!

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

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  • stable-diffusion-webui

    Discontinued Stable Diffusion web UI [Moved to: https://github.com/sd-webui/stable-diffusion-webui] (by hlky)

  • BLIP

    PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

  • Also check img2text (basically to prompt): https://github.com/salesforce/BLIP

  • 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

    Optimized Stable Diffusion modified to run on lower GPU VRAM (by basujindal)

  • Please. Could you add the option to install the optimized version? It works with only 4GB of VRAM. https://github.com/basujindal/stable-diffusion

  • text2image-gui

    Somewhat modular text2image GUI, initially just for Stable Diffusion

  • Stable-textual-inversion_win

  • Linux-StableDiffusion-Script

    Discontinued A simple script to automate the installation and running of the hlky Stable Diffusion fork for Linux users. Please see my guide for running this on Linux: https://rentry.org/linux-sd

  • hlky has the optimized mode now as well. For example this Linux script clones hlky repo and runs it in optimized mode like this:

  • text2image-gui

    Somewhat modular text2image GUI, initially just for Stable Diffusion (by javsezlol1)

  • 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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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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