DiffusionBee
Verified Oct 16, 2026 ActiveRuns Stable Diffusion locally on a Mac with no setup
Listed on EffectHub ·
Pricing
- Pricing model
- 100% Free
Free download with no account or subscription; you supply the hardware and accept the underlying model licences.
Use tool ↗About DiffusionBee
DiffusionBee wraps Stable Diffusion in a macOS app so generation runs on the machine's own GPU without assembling a Python environment. Beyond text-to-image it covers generative fill, image-to-image, upscaling and importing custom checkpoints, with Flux support on Apple silicon. The code is AGPL-3.0 on GitHub and the app is free; a Windows build remains a waitlist.
- Platforms
- macOS
- API
- Not confirmed
- Last verified
- Oct 16, 2026
Verified sources
- Download page offers version 2.5.1 for Apple silicon and Intel Macs free of charge; Windows 64-bit is still 'Join waitlist' (15 October 2026)diffusionbee.com ↗
- GitHub: latest release 2.5.3 from 14 August 2024, AGPL-3.0, last push October 2024, repository not archived (15 October 2026)github.com ↗
Is DiffusionBee legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Domain registered
- Sep 12, 2022 (4 years ago)Registry record (RDAP), registrar NameCheap, Inc., looked up Sep 6, 2026
- TLS certificate
- Issued by Google Trust Services, valid until Dec 11, 2026Seen in our own connection to the site on Oct 16, 2026
- Last checked
- Oct 16, 2026The site answered
- On the market since
- 2022The vendor's own material, read by us
Pros & cons of DiffusionBee
Still the least painful way to get Stable Diffusion running on a Mac without touching a terminal, and nothing leaves your disk. But no release has shipped since August 2024, so treat it as frozen-but-usable rather than a tool that will track new models.
Pros
- Free and AGPL-3.0 licensed, with no credits, queues or watermarks
- One-click install instead of a manual Python and dependency setup
- Imports custom checkpoints and runs Flux on Apple silicon
- Generation volume is capped only by your own GPU
Cons
- Last GitHub release was 2.5.3 in August 2024 and the repo has been quiet since
- macOS only; the Windows 64-bit build is still a waitlist
- Intel Macs are supported but noticeably slower
- No node graph or ControlNet-grade control, so power users outgrow it
Best for
- Mac users who want unlimited offline generation at zero per-image cost
- Privacy-sensitive work where prompts and images must stay on the machine
- Learning diffusion basics without wrestling with ComfyUI or A1111 setup
Not for
- Windows or Linux users, since no build exists for either
- Teams needing shared workspaces, seats or an API
Watch out: Development looks stalled since late 2024, which means newer model formats may simply never load.
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