Image
MochiDiffusion
Run Stable Diffusion on Mac natively
★ 8.0k starsGPL-3.0
View guide →// image · TheLastBen/fast-stable-diffusion
fast-stable-diffusion
fast-stable-diffusion is an open-source image project by TheLastBen (TheLastBen/fast-stable-diffusion on GitHub). It has 7,910 GitHub stars and 1,366 forks, is released under the MIT license, and was last updated on GitHub on 29 November 2025.
fast-stable-diffusion + DreamBooth
★ 7.9k stars⑂ 1.4k forksMITupdated 2025-11
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- TheLastBen/fast-stable-diffusion
- GitHub stars
- 7,910
- Forks
- 1,366
- License
- MIT
- Last updated on GitHub
- 29 November 2025
- Category
- Image
- Listing
- Full install guide
- Official site
- GitHub repo
// how it works
How it works
- Choose the right tool
Generation studio, upscaler, background remover, or photo library — match the tool to the task.
- Install it your way
Desktop apps, Docker images, and portable builds cover most platforms; pick the simplest for your OS.
- Add models if needed
Generation tools need checkpoint files; utilities like upscalers usually bundle everything.
- Create or organize
Generate, enhance, or import — then export, share, or keep building your library.
// features
Why people love it
Smart photo libraries
Self-hosted managers with AI tagging, face recognition, and deduplication.
Purpose-built utilities
Single-job tools (upscale, de-background, restore) that do one thing excellently.
Model freedom
Bring any compatible open checkpoint; you are never locked to one vendor's style.
Runs locally
Your images stay on your machine — important for client work and privacy.
No subscriptions
The defining trait of this whole category: professional results without monthly fees.
Non-destructive
Edits stay reversible; originals are never touched.
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// run it
Run it yourself
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/TheLastBen/fast-stable-diffusion.git cd fast-stable-diffusion - Step 2 — Check the README
Every project documents its own setup; start with install requirements.
cat README.md | head -60 - Step 3 — Run it
Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command
// use cases
What you can build
- Generate concept art and illustrations.
- Upscale and restore old photos.
- Remove backgrounds in bulk for product shots.
- Self-host a Google-Photos-style library.
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// faq
Questions, answered
Who maintains fast-stable-diffusion?
It is an open-source project at TheLastBen/fast-stable-diffusion with 1,366 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Is fast-stable-diffusion free for commercial use?
MIT licensed — use it commercially, no strings attached.
Can they match Midjourney quality?
With the right open checkpoints, absolutely — the interface matters less than the model you load.
Are they free for commercial work?
Mostly yes under MIT/Apache/GPL — but verify each license, especially for client deliverables.
Do I need a powerful GPU?
Generation benefits hugely from one; upscalers and photo managers are far lighter.
// keep exploring
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View guide →// alternatives
Alternatives in Image
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// more in image
More in Image
Nearby Image projects in the catalogue, closest in stars to fast-stable-diffusion — keep exploring the shelf either side of it.
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Get fast-stable-diffusion
Free and open — grab the source, star the repo, and start creating.