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fast-stable-diffusion

Google Colab notebooks for running ComfyUI, AUTOMATIC1111 and DreamBooth

Stars
7.9k
License
MIT
Last commit
Nov 2025
Language
Python
Stars, last 30 weeks+90
3 Apr 2026: 7,819 stars10 Apr 2026: 7,825 stars17 Apr 2026: 7,831 stars24 Apr 2026: 7,836 stars1 May 2026: 7,842 stars8 May 2026: 7,845 stars15 May 2026: 7,847 stars22 May 2026: 7,852 stars29 May 2026: 7,857 stars5 Jun 2026: 7,859 stars12 Jun 2026: 7,860 stars19 Jun 2026: 7,861 stars26 Jun 2026: 7,863 stars3 Jul 2026: 7,868 stars10 Jul 2026: 7,872 stars17 Jul 2026: 7,874 stars24 Jul 2026: 7,875 stars31 Jul 2026: 7,879 stars7 Aug 2026: 7,881 stars14 Aug 2026: 7,883 stars21 Aug 2026: 7,886 stars28 Aug 2026: 7,889 stars4 Sept 2026: 7,891 stars11 Sept 2026: 7,895 stars18 Sept 2026: 7,895 stars25 Sept 2026: 7,898 stars2 Oct 2026: 7,902 stars9 Oct 2026: 7,903 stars16 Oct 2026: 7,906 stars23 Oct 2026: 7,908 stars30 Oct 2026: 7,909 stars

7,819 on 3 Apr 20267,909 on 30 Oct 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

Three Jupyter notebooks that launch ComfyUI, AUTOMATIC1111 and a DreamBooth fine-tuning workflow on Google Colab. The README is only badges and links, so it gives no setup steps, model list or requirements. The author also advertises a paid Flux and SDXL trainer via X.

Who it is for: Users who want hosted Stable Diffusion UIs and DreamBooth training on Colab

Strengths

  • Separate Colab notebooks for ComfyUI, AUTOMATIC1111 and DreamBooth
  • MIT license
  • No local GPU needed, since the notebooks target Google Colab

Weaknesses

  • README has no usage instructions, requirements or supported model list
  • Tied to Google Colab; no local or Docker setup documented
  • No releases; last commit 2025-11-29
  • Advanced Flux and SDXL trainers are sold separately, not in this repo

What it needs

  • Needs Google Colab
  • Models: Stable Diffusion

Quick answers

Is fast-stable-diffusion open source?

Yes. Its code is on GitHub under the MIT license.

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