DiffusionBee

What is DiffusionBee?

DiffusionBee is a creative AI toolbox for macOS that runs Stable Diffusion locally. DiffusionBee brings image generation, image editing, video tools and custom model training into one package for people creating AI artwork on their own computers. The website offers a macOS download and describes an offline workflow in which prompts, models and generated images never leave the device. Local processing is central to both image generation and training models using personal image datasets.

What DiffusionBee can do

DiffusionBee covers both creating new images and modifying existing images. DiffusionBee accepts text prompts, supports drawing through an AI canvas and provides separate tools for selected-region edits, image enhancement and structural guidance. The toolbox also includes animation and video generation, custom model training and an illusion generator.

DiffusionBee generates images from text prompts and transforms existing images using prompts.
DiffusionBee adds or removes objects in selected image regions with generative fill.
DiffusionBee generates animations and videos using AI tools.
DiffusionBee sharpens images, increases resolution and generates image variants.
DiffusionBee combines prompts and human drawing in an AI canvas.
DiffusionBee trains custom image generation models on personal image datasets.
DiffusionBee uses control images to guide the structure of generated images.
DiffusionBee creates AI-generated illusions.

How DiffusionBee works

DiffusionBee is obtained through the website’s macOS download. DiffusionBee requires macOS 13.1 or higher, with Apple silicon recommended, and also supports Intel-based machines. Image creation happens locally rather than through cloud processing. Users can generate images from text, transform an existing image with a prompt or combine prompts and drawing on the AI canvas. For custom training, users supply their own images to build models that can generate particular objects, people or styles.

DiffusionBee reports an example generation time of around 30 seconds on an 8GB M1 MacBook Air. The website states that computers with higher specifications generate images faster. Hardware therefore matters when assessing the local workflow: Intel-based machines without a dedicated graphics chip are described as very slow compared with M1 machines.

Who DiffusionBee is for

DiffusionBee is for Mac users who want to create AI artwork, edit images or develop image models using their own datasets. DiffusionBee also suits workflows where prompts and generated content need to remain on the computer. The available tools support both prompt-based image creation and more directed editing through drawing, selected regions and control images.

DiffusionBee supports generating artwork from written prompts.
DiffusionBee supports revising existing images by changing selected objects or applying text prompts.
DiffusionBee supports training models to reproduce specific objects, people or visual styles.

DiffusionBee strengths and limitations

DiffusionBee combines a range of creative tools with offline processing and local custom model training. DiffusionBee keeps prompts, models and generated images on the device, while offering both broad image transformations and selected-region editing. The main stated constraints concern operating-system compatibility, hardware-dependent generation speed and the license governing generated-image use. These conditions matter when choosing a suitable Mac and deciding how to use the resulting images.

DiffusionBee requires macOS 13.1 or higher.
DiffusionBee runs very slowly on Intel-based machines without a dedicated graphics chip compared with M1 machines.
DiffusionBee permits generated-image use subject to the CreativeML Open RAIL-M license.

DiffusionBee FAQ

What is DiffusionBee?

DiffusionBee is a macOS toolbox for running creative AI tools locally with Stable Diffusion. DiffusionBee includes image generation, image editing, animation and video tools, image upscaling and custom image model training.

Does DiffusionBee work offline?

DiffusionBee runs offline and generates images locally on the computer. DiffusionBee keeps prompts, models and generated images on the device, and the website states that nothing is sent to the cloud.

What are the system requirements for DiffusionBee?

DiffusionBee requires macOS 13.1 or higher, and Apple silicon machines are recommended. DiffusionBee also supports Intel-based machines, but performance is very slow without a dedicated graphics chip compared with M1 machines.

Can DiffusionBee train custom image models?

DiffusionBee can train custom image generation models using a user's own images, with training performed locally. DiffusionBee custom models can generate images featuring specific objects, people or styles represented by the training data.

Can you freely use images generated with DiffusionBee?

DiffusionBee allows generated images to be freely used as long as the use complies with the CreativeML Open RAIL-M license. DiffusionBee's website explicitly makes generated-image use subject to that license.

How long does DiffusionBee take to generate an image?

DiffusionBee takes around 30 seconds to generate an image on an 8GB M1 MacBook Air, according to the website. DiffusionBee generates images faster on computers with higher specifications, so generation time depends on hardware.