

DiffusionBee is a desktop application for macOS that implements Stable Diffusion for AI image generation. The software runs on the user's local hardware, meaning prompts and images do not leave the device.
It is designed for macOS users who need to create art, edit photos, or upscale images. The tool supports both Apple silicon and Intel-based Macs, though performance varies depending on the hardware specs.
Beyond text-to-image generation, the app includes tools for modifying existing images and training custom models on specific datasets.
Buyers should confirm that their hardware meets the minimum requirement of macOS 13.1 and consider that Intel-based machines without dedicated graphics chips may experience slower generation speeds.
Runs generative AI on the user's computer so prompts and images are not sent to the cloud.
Generates images based on written text prompts.
Designed to make existing images sharper and higher resolution.
Supports training custom image generation models using local datasets.
Supports adding or removing objects within selected regions of an image.
Transforms existing images using text prompts.
Generating images from text prompts for internal use without transferring data to external servers.
Using the image upscaler to increase the resolution of existing visuals.
Training a local model on a specific set of images to generate content with a consistent object, person, or style.
Using generative fill to add or remove elements from a photo.
DiffusionBee is provided free of charge.
No, DiffusionBee runs offline on your computer, meaning your prompts and images stay on your device.
It requires macOS 13.1 or higher. While it works on Intel-based machines, Apple silicon is recommended for better performance.
Generated images can be used as long as you comply with the CreativeML Open RAIL-M license.
The software is free of charge.
Source category: Marketing
Source subcategory: Image Generation
DiffusionBee is a free AI image generation app for macOS that runs Stable Diffusion locally. It supports workflows such as text-to-image, image upscaling, and local model training. Buyers should note that it requires macOS 13.1 and performs better on Apple silicon hardware.