Diffusion Bee - Stable Diffusion GUI App for MacOS

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 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

2. Enter a prompt and click generate

Text to image:

Image to image:

Multiple Apps:

Image to image with mask:

Inpainting:

Advanced AI Canvas:

ControlNet:

Download Models:

History:

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