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Linaqruf/kohya-trainer resource

Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning observed · 2026-08-28

github.com/Linaqruf/kohya-trainer · Jupyter Notebook · Apache-2.0 (permissive) · archived 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
Linaqruf/kohya-trainermain10

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