Giter VIP home page Giter VIP logo

kayduemre / stableswarmui Goto Github PK

View Code? Open in Web Editor NEW

This project forked from stability-ai/stableswarmui

0.0 0.0 0.0 5.36 MB

StableSwarmUI, A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, and extensibility.

License: Other

Shell 0.19% JavaScript 31.74% Python 3.15% C# 53.39% PowerShell 0.08% CSS 3.95% HTML 7.05% Batchfile 0.18% Jupyter Notebook 0.25% Dockerfile 0.03%

stableswarmui's Introduction

StableSwarmUI

StableSwarmUI 0.5.8 Alpha.

A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, and extensibility.

ui-screenshot

Follow the Feature Announcements Thread for updates on new features.

Status

This project is in ALPHA status. That means all the basic features work, but there's a wide range of core features not yet implemented, and there are many bugs and not-too-great-quality-of-life issues throughout.

Powerusers and developers are encouraged to try it out and help build it, but general/beginner users are advised caution.

Those interested in helping push from Alpha to Beta to Full Release are welcome to submit PRs (read the Contributing document first), and you can contact us here on GitHub or on Discord in the stableswarmui channel. I highly recommended reaching out to ask about plans for a feature before PRing it. There may already be specific plans or even a work in progress.

Key feature targets not yet implemented:

  • Image editing tools
  • Wildcards
  • Localization / automatic translation
  • Mobile browser formatting
  • Self-contained internal mini-backend for simple usages
  • Simple box grids for batches (eg 2x2 squares of images when you generate a batch of 4)
  • full detail "Current Model" display in UI, separate from the model selector (probably as a tab within the batch sidebar?)

Installing on Windows

  • Download The Install-Windows.bat file, store it somewhere you want to install at (not Program Files), and run it.
    • It should open a command prompt and install itself.
    • If it closes without going further, try running it again, it sometimes needs to run twice. (TODO: Fix that)
    • It will place an icon on your desktop that you can use to re-launch the server at any time.
    • When the installer completes, it will automatically launch the StableSwarmUI server, and open a browser window to the install page.
    • Follow the install instructions on the page.
    • After you submit, be patient, some of the install processing take a few minutes (downloading models and etc).

(TODO): Even easier self-contained pre-installer, a .msi or .exe that provides a general install screen and lets you pick folder and all.

Installing on Linux

  • Install git, python3 via your OS package manager if they are not already installed.
  • Install DotNET 7 using the instructions at https://dotnet.microsoft.com/en-us/download/dotnet/7.0 (you need dotnet-sdk-7.0, as that includes all relevant sub-packages)
    • Some users have said that certain Linux distros expect aspnet-runtime to be installed separately
  • Open a shell terminal and cd to a directory you want to install into
  • Run shell commands:
    • git clone https://github.com/Stability-AI/StableSwarmUI
    • cd StableSwarmUI
    • ./launch-linux.sh
  • open http://localhost:7801/Install
  • Follow the install instructions on-page.

(TODO): Maybe outlink a dedicated document with per-distro details and whatever. Maybe also make a one-click installer for Linux?

Installing on Mac

Note: You can only run StableSwarmUI on Mac computers with M1 or M2 (Mx) Apple silicon processors.

  1. Open Terminal.
  2. Ensure your brew packages are updated with brew update.
  3. Verify your brew installation with brew doctor. You should not see any error in the command output.
  4. Install .NET for macOS: brew install dotnet.
  5. Change the directory (cd) to the folder where you want to install StableSwarmUI.
  6. Clone the StableSwarmUI GitHub repository: git clone https://github.com/Stability-AI/StableSwarmUI.
  7. cd StableSwarmUI and run the installation script: ./launch-macos.sh.

The installation starts now and downloads the Stable Diffusion models from the internet. Depending on your internet connection, this may take several minutes. Wait for your web browser to open the StableSwarmUI window.

Important: During the StableSwarmUI installation, you are prompted for the type of backend you want to use. For Mac computers with M1 or M2, you can safely choose the ComfyUI backend and choose the Stable Diffusion XL Base and Refiner models in the Download Models screen.

Running with Docker

  • To forward an Nvidia GPU, you must have the Nvidia Container Toolkit installed: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
  • Open a shell terminal and cd to a directory you want to install into
  • Run shell commands:
    • git clone https://github.com/Stability-AI/StableSwarmUI
    • cd StableSwarmUI
    • ./launch-docker.sh
    • Open your browser to localhost:7801
  • Note that it will forward the Models and Output directory, and will mount Data and dlbackend as independent persistent volumes.

Documentation

See the documentation folder.

Motivations

The "Swarm" name is in reference to the original key function of the UI: enabling a 'swarm' of GPUs to all generate images for the same user at once (especially for large grid generations).

See the motivations document for motivations on technical choices.

Legal

This project:

Copyright (C) 2023 Stability.AI

Licensed under the PolyForm Noncommercial License 1.0.0, view LICENSE.txt for details.

(In short: personal usage is free, commercial usage is not)

This license is an initial selection, particularly for the Alpha stage of the project, that is subject to change in the future.

stableswarmui's People

Contributors

mcmonkey4eva avatar jorge-campo avatar olivierlacan avatar surfingdoggo avatar camenduru avatar mbuc avatar rickles42 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.