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  • License
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  • Created almost 2 years ago
  • Updated 4 months ago

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Repository Details

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.

Diffusion Bee - Stable Diffusion GUI App for MacOS

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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
  • 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:

image

Image to image:

image

image

Image to image with mask:

image

Inpainting:

image

image

Outpainting: image

image

image

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