Diffusion Bee is a user-friendly local application designed to make running the Stable Diffusion text-to-image generative model as simple as possible on macOS machines, including both Intel and Apple Silicon. It wraps Stable Diffusion and its dependencies into a one-click installer so users don’t need to manually install Python, drivers, or machine-learning frameworks to generate images. The app runs entirely on the local machine so images are created offline and no user data is sent to external servers unless explicitly chosen, preserving privacy. Users can generate images from text prompts, perform image-to-image transformations, and apply additional features like inpainting, outpainting, and model-based upscaling directly within a clean graphical interface. It’s optimized for Apple hardware performance and can automatically manage features like ControlNet, LoRA models, and advanced prompt options without exposing complexity to the user.

Features

  • One-click local Stable Diffusion installer for macOS
  • Text-to-image and image-to-image generation
  • Inpainting and outpainting tools
  • Model download and management inside app
  • Offline, no cloud dependency
  • Supports advanced options like ControlNet and negative prompts

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License

Affero GNU Public License

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Additional Project Details

Operating Systems

Mac

Programming Language

JavaScript

Related Categories

JavaScript AI Image Generators, JavaScript AI Models

Registered

2 days ago