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Diffusion Bee ✓

Generate AI art on your computer for free.

5.3k views 27 saves Free
Local Art Generation Text Prompts
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AI Art Image Synthesis AI Creativity Images
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Verdict

A quick read before you dig into the full page.

Best if
You are digital artists and need: Creating stunning images from text prompts
Skip if
Only for Mac
Pick this when
Free of charge

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Overview

DiffusionBee is a free, easy-to-use AI art generation tool for Mac computers. Powered by Stable Diffusion, a cutting-edge AI technology, DiffusionBee allows users to generate AI art with just a text prompt.

DiffusionBee comes with all the features of Stable Diffusion, including Text to Image, Image to Image, In-painting, Out-painting, Upscaling, and Custom Models.

All the generation takes place locally, so there are no limits or cloud-based communication. Additionally, an active community on Discord is available to help with any questions.

DiffusionBee is compliant with the CreativeML Open RAIL-M license, so users are free to use generated images as they wish. DiffusionBee works with macOS 12.5.1 or higher, but machines with Apple silicon are recommended for optimal performance.

DiffusionBee is a great tool for anyone who wants to quickly generate stunning AI art.

Diffusion Bee website

Best for

Short scenarios where Diffusion Bee tends to shine.

  • Creating stunning images from text prompts.

    Best for Digital artists

  • Adding or removing objects in images.

    Best for Graphic designers

  • Generating animations and videos using AI.

    Best for Hobbyists

  • Transforming existing images using text prompts.

    Best for Content creators

  • Enhancing image quality and resolution.

    Best for AI enthusiasts

  • Generating variations of existing images.

    Best for Digital artists

  • Training custom models on user-provided datasets.

    Best for Digital artists

  • Creating images with specific structures using control images.

    Best for Digital artists

Example outputs 1

Sample generations and before/after results for Diffusion Bee.

Diffusion Bee screenshot
Diffusion Bee screenshot Diffusion Bee website

Access & connections

Where you can use Diffusion Bee, and what it plugs into.

Platforms

Web macOS

Integrations

Discord

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Image
  • Text

Output

  • Image

Pros & cons

Pros

  • Free of charge
  • Runs on macOS
  • Local image generation
  • Multiple image generation features
  • Comes with Stable Diffusion
  • Active community on Discord
  • Optimized for Apple silicon
  • Works with Intel machines
Show 28 more
  • Text to Image feature
  • Image to Image feature
  • In-painting feature
  • Out-painting feature
  • Upscaling feature
  • Supports Custom Models
  • Advanced options available
  • Private and secure
  • Uses text prompts
  • Easy to use
  • Quick results
  • Transforms existing images
  • User-friendly interface
  • Runs offline
  • No cloud communication
  • Model Licence provided
  • Open-source Licenses provided
  • Responsive development team
  • High quality outputs
  • Can modify images
  • Can add/remove objects
  • Can change style of images
  • Can transform scenes
  • Thorough documentation
  • Interactive video tour
  • GitHub support
  • Twitter support
  • Allows creative expression

Cons

  • Only for Mac
  • Slower on Intel machines
  • Requires macOS 12.5.1 or higher
  • Optimized for Apple silicon
  • No cloud based communication
  • No API mentioned

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Releases 1

Initial release September 21, 2022 Current
Initial release of Diffusion Bee.

FAQ 12

What is DiffusionBee?
DiffusionBee is a free, easy-to-use AI art generation tool for Mac computers. It allows users to make AI art with just text prompts, harnessing the power of Stable Diffusion technology.
How does DiffusionBee generate images from text prompts?
DiffusionBee utilizes Stable Diffusion, a type of AI technology, to convert text prompts into images. This process takes place entirely on the local machine.
What are the key features of DiffusionBee?
DiffusionBee offers a plethora of cutting-edge features, such as Text to Image, Image to Image, In-painting, Out-painting, Upscaling, and the use of Custom Models. It also includes advanced options like negative prompt and diffusion steps.
Can I edit existing images using DiffusionBee?
Yes, DiffusionBee allows you to edit existing images. You can modify them using text prompts, add or remove objects in the selected region, and transform the entire scene.
What do the In-painting and Out-painting features in DiffusionBee do?
In-painting and Out-painting are creative features of DiffusionBee. In-painting is used for adding or removing objects in a selected area of an existing image using a text prompt. Out-painting is used for expanding an image outwards using text prompts, which allows you to select a region in the canvas and add objects.
How can I upscale image resolution using DiffusionBee?
DiffusionBee has an Upscaling feature that leverages AI to automatically increase the resolution of the generated image, providing a higher-quality output.
Can I use custom models with DiffusionBee?
Yes, DiffusionBee permits the use of external Stable Diffusion models. These custom models are trained on specific styles or objects and can be used via DreamBooth.
What are the advanced options available in DiffusionBee?
DiffusionBee provides advanced options for power users. These include the use of negative prompts and control over the diffusion steps.
Is my data privacy guaranteed with DiffusionBee?
Yes, DiffusionBee offers full data privacy as all the generation happens locally and nothing is sent to the cloud.
Where can I get help if I have questions about using DiffusionBee?
DiffusionBee has a vibrant active community on Discord where you can ask questions and get assistance.
Can I freely use the images generated by DiffusionBee?
Yes, you can freely use the images generated by DiffusionBee as long as you comply with the CreativeML Open RAIL-M license.
Which macOS versions are compatible with DiffusionBee?
DiffusionBee works with macOS versions 12.5.1 or higher.
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