DiffusionBee is a completely free AI art generation tool that runs Stable Diffusion locally on your computer. It is officially positioned as "the easiest way to generate AI art on your computer," with the goal of being "the fastest and easiest toolkit for running cutting-edge AI tools locally."
In terms of purpose, DiffusionBee is aimed at users who want to use Stable Diffusion locally for AI art creation without relying on cloud services. It provides a suite of creative AI tools covering multiple stages, from image generation to editing, enhancement, and model training.
Main capabilities include: text-to-image, making it easy to create images based on prompts; generative fill, which can add or remove objects in selected areas of an image; generating animations and videos with a variety of AI tools; transforming existing images through text prompts; using AI to improve image quality, making images sharper and higher-resolution; generating multiple variations of an image; training custom models on your own dataset; using control images to generate images according to a specific structure; a hallucination generator, using AI to create hallucination effects; and an advanced AI canvas that combines prompts with human painting for generation and editing. Officially, it is said that artistic images can be created in seconds.
In terms of usage, DiffusionBee runs as a local application and provides an easy-to-use all-in-one interface. Users can generate and edit images on the AI canvas by combining prompts with painting. Model training is also fully local, requiring only a few clicks to build a custom model for generating images that contain specific objects, people, or styles.
Applicable scenarios and limitations: DiffusionBee is suitable for users who value privacy and want to create AI art offline, because prompts, models, and generated images never leave the device. Officially, it is stated that generating one image on an 8GB M1 MacBook Air takes about 30 seconds, and much faster on higher-spec computers. Generated images can be used freely, but must comply with the CreativeML Open RAIL-M license. System requirements are macOS 13.1 or later, with Apple silicon devices recommended; Intel machines are also supported, but without a dedicated graphics chip, they will be much slower than M1 machines.
