DiffusionBee

Generate and edit images on a Mac

DiffusionBee is a desktop app for running Stable Diffusion image tools locally. It provides a graphical interface for creating pictures from prompts, transforming existing images and editing selected regions. It is relevant to Mac users who want an on-device creative workflow without first assembling a programming environment.

Local generation shifts the work to the user's computer. That can be useful for experimenting without a hosted generation allowance, but it also makes memory, processing capacity, storage and model selection part of the workflow. A free application does not supply unlimited computing resources.

Prompts, references and selected-region edits

The official site lists text-to-image, image-to-image, generative fill, image variants, upscaling and control-image tools. A prompt starts a new image; image-to-image provides an existing sketch or photograph as a guide; a mask identifies a region to repaint. The canvas combines drawing and prompt-based changes, which can be useful when part of a composition works and another part needs development.

The project repository also documents negative prompts, generation history, custom models, ControlNet and LoRA support. Compatibility depends on the model format and application version. A familiar model name alone is not enough to establish that an arbitrary downloaded file will work.

Models and reproducible comparisons

The documentation explains prompts, seeds, generation settings, masks and history. It explicitly targets an older version, so use it for the workflow concepts and check current controls in the installed release. Avoid carrying its older image-size or file-format limits into assumptions about every current model.

Keep the model and settings with a result when comparing revisions. A seed is useful for a controlled comparison within a compatible setup, but changing the model or processing path can change the outcome. Negative prompts express details to avoid; they do not guarantee those details will be absent.

An illustration-development example

Suppose an illustrator wants concepts for a fictional hillside observatory. Begin with a modest image size and a prompt specifying the building silhouette, landscape and lighting. Generate a small set and select a composition before increasing the workload.

Use image-to-image to develop an original rough sketch if the building placement matters. Mask a distracting foreground area and repaint that region instead of replacing the whole scene. Compare the revised architecture and perspective with the intended sketch, then upscale a selected result if appropriate. Save the image and its settings together. This is a suggested process for developing artwork, not a guarantee of structurally correct architecture or repeatable output across releases.

Downloads, hardware and access

The download page offers Apple Silicon and Intel Mac builds; Windows is shown as a waitlist. The current homepage specifies macOS 13.1 or later and recommends Apple Silicon. Older repository requirements differ, so use the current release's requirements when choosing a build. Generation speed depends on the computer and workload; no vendor example timing should be treated as a promise for your machine.

Local processing and model terms

The app is available as a free download with an open-source project. Initial setup and model downloads need network access. The repository distinguishes local processing from optional image uploads, so inspect any sharing action before using it with private work. Review the license for each model and the rights attached to your inputs; downloading a local tool does not make every model or generated subject unrestricted.