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camenduru/controlnet-colab

★ 533 · Jupyter Notebook · Unlicense · updated Jun 2023

A collection of Google Colab notebooks for running ControlNet with various Stable Diffusion 1.5-based fine-tunes, all without needing local GPU hardware. It's a quick-start toolkit for anyone who wants to experiment with pose/edge/depth-conditioned image generation on free Colab compute.

Zero local setup — click a badge, get a running notebook in 30 seconds. Covers a wide range of fine-tuned SD 1.5 checkpoints so you can test ControlNet conditioning across very different aesthetics without hunting down each model separately. The per-notebook structure means you don't need to understand the broader codebase to run a single experiment.

Abandoned since June 2023 — the SD ecosystem has moved well past 1.5 and SDXL/Flux are the current baselines, so most of these notebooks are two generations stale. A significant chunk of entries are marked 🚧 (broken/untested), and there's no indication of which actually work today. No abstraction at all — 60+ near-identical notebooks with copy-pasted boilerplate instead of a parameterized single notebook; if the install steps break upstream, every notebook breaks individually. Colab free tier GPU availability has degraded substantially since 2023, so the 'free compute' premise is much weaker in practice.

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