diffusionbee

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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#29 in Generative Art (29 tools)
Just launched
Data reviewed Jul 20, 2026

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

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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Key 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

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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

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Benefits

Full offline operation: prompts, models, and outputs remain on the user's computer.
All-in-one toolbox: multiple AI art capabilities (text-to-image, upscaling, video, training) bundled in one app.
Local model training: ability to build custom models from personal datasets without cloud upload.
Ease of use: designed as an easy-to-use package with an AI canvas for prompt and drawing-driven workflows.
Optimized for Apple silicon with recommended performance benefits on supported hardware.

Limitations

Requires macOS 13.1 or higher; primarily distributed for macOS.
Performance is limited on Intel-based machines without a dedicated graphics chip; Apple silicon is recommended for reasonable speed.

Frequently Asked Questions

Where are the images generated?
Images are generated locally on your computer. Nothing is sent to the cloud.
How much time does it take to generate an image?
On 8GB M1 MacBook Air, DiffusionBee takes around 30 seconds to generate an image. The speeds are much higher on computers with higher specs.
Can I freely use the generated images?
Yes, you can freely use the generated images as long as you comply with the CreativeML Open RAIL-M license.
What are the minimum system requirements for DiffusionBee?
DiffusionBee needs macOS 13.1 or higher. Machines with Apple silicon are recommended.
Does DiffusionBee work with Intel based machines?
Yes, DiffusionBee works with Intel based machines, though it is very slow compared to M1 machines if you don't have a dedicated graphics chip.

Getting Started

  1. 1 Step 1: Download DiffusionBee for macOS from the official site.
  2. 2 Step 2: Install and launch the application on a supported macOS (minimum macOS 13.1 recommended).
  3. 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

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

Available: No

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