GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — GitHub - divamgupta/diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

BranchesTags
Open more actions menu

Latest commit

 

History

277 Commits
277 Commits

Folders and files

NameName
Last commit message
Last commit date
backends
backends
 
 
docs
docs
 
 
electron_app
electron_app
 
 
.gitignore
.gitignore
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
package-lock.json
package-lock.json
 
 

Repository files navigation

Diffusion Bee - Stable Diffusion GUI App for MacOS

Twitter

Diffusion Bee is the easiest way to run Stable Diffusion locally on your Intel / M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

  • Runs locally on your computer no data is sent to the cloud ( other than request to download the weights or unless you chose to upload an image ).
  • If you like Diffusion Bee, consider checking https://Liner.ai , a one-click tool to train machine learning models

Download

Download at https://diffusionbee.com/


For prompt ideas visit https://arthub.ai

Join discord server : https://discord.gg/t6rC5RaJQn

Features

  • Full data privacy - nothing is sent to the cloud ( unless you chose to upload an image )
  • Clean and easy to use UI with one-click installer
  • Image to image
  • Supported models : - SD 1.x, SD 2.x, SD XL, Inpainting, ControlNet, LoRA
  • Download models from the app
  • In-painting
  • Out-painting
  • Generation history
  • Upscaling images
  • Multiple image sizes
  • Optimized for M1/M2 Chips
  • Runs locally on your computer
  • Negative prompts
  • Advanced prompt options
  • ControlNet

How to use

  1. Download and start the application

image

  1. Enter a prompt and click generate

Text to image:

Screenshot 2023-12-13 at 1 19 38 PM

Image to image:

Screenshot 2023-12-13 at 1 14 35 PM

Multiple Apps:

Screenshot 2023-12-13 at 1 11 14 PM

Image to image with mask:

image

Inpainting:

image

image

Advanced AI Canvas:

Screenshot 2023-12-13 at 1 13 59 PM

image

ControlNet:

Screenshot 2023-12-13 at 1 12 43 PM

Screenshot 2023-12-13 at 1 12 22 PM

Download Models:

Screenshot 2023-12-13 at 1 13 08 PM

History:

image

To learn more, visit the documentation.

Requirements

  • Mac with Intel or M1/M2 CPU
  • For Intel : MacOS 12.3.1 or later
  • For M1/M2 : MacOS 11.0.0 or later

License : Stable Diffusion is released under the CreativeML OpenRAIL M license : https://github.com/CompVis/stable-diffusion/blob/main/LICENSE Diffusion Bee is just a GUI wrapper on top of Stable Diffusion, so all the term of Stable Diffusion are applied on the outputs.

References

  1. https://github.com/CompVis/stable-diffusion
  2. https://github.com/madebyollin/maple-diffusion
  3. https://github.com/divamgupta/stable-diffusion-tensorflow
  4. https://github.com/liuliu/swift-diffusion (big thanks to Liu Liu)
  5. https://github.com/huggingface/diffusers

About

Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

diffusionbee.com

Topics

electron-appmacosstable-diffusion

Resources

Readme
AGPL-3.0 license
Activity

Stars

13.6k stars

Watchers

117 watching

Forks

728 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

You are visitor 01402503 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.