diffusionbee-stable-diffusion-ui

# 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](https://github.com/divamgupta/diffusionbee-stable-diffusion-ui/blob/master/docs/DOCUMENTATION.md). ## 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