diffusionbee
DiffusionBee is a desktop application that bundles Stable Diffusion–based AI art tools to run locally on your computer, providing text-to-image, image editing, model training, upscaling, and video/animation generation with an easy-to-use AI canvas.
diffusionbee is generative art software teams evaluate for creative & design. Use this page to review pricing, integration signals, and the best alternatives before you commit.
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Review official source →Quick Overview
Best for: Creative & Design
What it does
Generative Art software for decision-makers comparing workflow fit and alternatives.
Best fit
Creative & Design
Pricing snapshot
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DiffusionBee is a desktop application that packages a suite of Stable Diffusion–based AI art tools into an easy-to-use local app. It enables users to generate images from text prompts, edit images with generative fill and image-to-image transformations, create videos and animations, upscale and produce image variants, and train custom image generation models on users' own datasets. The product emphasizes running 100% offline so prompts, models, and outputs remain on the user's machine, and it provides an AI canvas that blends prompt-driven generation with manual drawing for creative workflows. The application is distributed for macOS (Download for macOS) and notes recommended hardware (Apple silicon) and minimum OS requirements (macOS 13.1+).
Free, easy-to-use Stable Diffusion app for generating AI art locally.
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Claim this listing for $29Key Features
Text to Image
Create images from text prompts using Stable Diffusion models included in the app.
Generative Fill
Add or remove objects within selected regions of images using AI-based generative fill.
Video Tools
Tools to generate animations and videos using AI-driven methods.
Image To Image
Transform existing images by applying text prompts to alter style or content.
Image Upscaler
Enhance image quality and resolution to produce sharper, higher-resolution outputs.
Image Variants
Generate multiple variant images from an input to explore different outcomes.
Train Models
Train custom image generation models locally on your own dataset to capture specific objects, people, or styles.
Control Images
Create images with a specific structure using control images as guidance.
Illusion Generator
Generate visual illusions and creative effects using AI.
AI Canvas
An interactive canvas that combines prompt-driven generation with human drawing for iterative editing and composition.
Local Privacy
Runs 100% offline so prompts, models, and generated images do not leave the user's device.
Pricing
Current pricing details are not available from the vendor source.
Use Cases
Concept Art and Illustration
Rapidly generate concept images from text prompts or refine ideas with image-to-image transformations and variants.
Image Editing and Compositing
Use generative fill and control-image workflows to add/remove elements and create structured edits locally.
Custom Model Creation
Train models on a user's own dataset to produce images with specific subjects, styles, or branded assets.
Upscaling and Quality Enhancement
Improve the resolution and sharpness of generated or existing images for production-ready outputs.
AI-Driven Animations
Generate animations and video content using integrated video tools.
Integrations
No verified integration details are available.
Benefits
Limitations
Frequently Asked Questions
Where are the images generated?
How much time does it take to generate an image?
Can I freely use the generated images?
What are the minimum system requirements for DiffusionBee?
Does DiffusionBee work with Intel based machines?
Getting Started
- 1 Step 1: Download DiffusionBee for macOS from the official site.
- 2 Step 2: Install and launch the application on a supported macOS (minimum macOS 13.1 recommended).
- 3 Step 3: Use the AI canvas to enter text prompts, draw or select regions for edits, or load images for image-to-image transformations. Optionally, prepare a dataset to train custom models locally.
Support
Video Tour
A video tour is listed on the site as a resource for getting started.
GitHub
GitHub is listed as a resource for code, issues, or repository information.
Twitter is listed for updates and announcements.
Discord
Discord is listed for community support and discussion.
Legal / Licenses
Model License and Open-source Licenses pages are linked from the site.
API
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