#27 · Primary category: Image Generation
fast-stable-diffusion
fast-stable-diffusion + DreamBooth
Project last updated:11/29/25
GitHub Stars
7.9K
Forks
1.4K
Contributors
20
License
MIT
Why we included this project
Anyone who wants to run Stable Diffusion without owning a GPU that can handle it will find these Google Colab notebooks one of the fastest ways in. You click through a few cells and get a working AUTOMATIC1111 or ComfyUI session in the cloud, no package assembly or driver conflicts to fight, which is just what many hobbyists and small teams need when their local hardware falls short. The DreamBooth notebook is the real draw: it walks you through fine-tuning a diffusion model on a handful of your own images, so you can teach it a specific subject or style instead of only prompting for generic output. Everything ships as editable notebooks rather than a compiled binary, so you can read each step, adjust parameters, and drop in newer models like SDXL as they appear. It feels less like a polished product and more like a well-worn recipe collection, and that openness is a big part of why it stays widely used across the Stable Diffusion community.
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