Linaqruf/kohya-trainer resource
Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 8
- Longevity 98
Flags: archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1382
- days_rel: n/a
- days_push: 841
- n_releases_24m: 0
Adoption not part of the score
1899 stars · 327 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of Jupyter/Colab notebooks adapting kohya-ss's sd-scripts for training Stable Diffusion models, including LoRA and Dreambooth methods. It packages the training scripts for easy one-click use in Google Colab.
Use cases
- train a LoRA for stable diffusion
- fine-tune stable diffusion on my own images
- run dreambooth training in colab
- create a custom stable diffusion checkpoint
- train lora without a local gpu
- learn how kohya sd-scripts training works
When to choose
- you want notebook-based, low-setup LoRA or Dreambooth training in Google Colab
- you are a beginner who prefers guided cells over CLI scripts
- you want to experiment with stable diffusion fine-tuning without installing anything locally
When to avoid
- you need the latest upstream features or bug fixes from kohya-ss/sd-scripts
- you want a production training pipeline or CLI tooling
- you train models other than stable diffusion
Facets
learning-resource · maturity maintenance
llm-training machine-learning deep-learning machine-learning deep-learning image-processing python cloud stable-diffusion lora dreambooth jupyter-notebook google-colab fine-tuning model-training gpu
1 source
- readme: https://github.com/Linaqruf/kohya-trainer · fetched 2026-08-28 · 09ae91b4b266
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Linaqruf/kohya-trainer | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="Linaqruf/kohya-trainer")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem