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DATASHEET // SD-SCRIPTS

sd-scripts (Kohya)

The underlying scripts powering Kohya & most LoRA trainers.

OPEN SOURCE8–12 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-Free
Visit sd-scripts (Kohya)UPDATED 2026-05-06 · DIRECT LINK
github.com/kohya-ss/sd-scripts
sd-scripts (Kohya) — preview image

HARDWARE REQUIREMENTS //

Runs locally · Mid GPU (12 GB)

8–12 GB VRAM
Min VRAM
8 GB
Rec. VRAM
12 GB
Min RAM
16 GB
Rec. RAM
32 GB
Disk
50 GB
GPU class
Mid GPU
11.8+Apple Silicon ✓GPU RequiredQuant: FP16, BF16, FP8

SD 1.5 LoRA fits in 8 GB; SDXL LoRA wants 12 GB; Flux 24 GB.

[ EDITORIAL PICK ]

Why we recommend sd-scripts (Kohya)

DERIVED FROM METADATA — NOT SPONSORED
  • Open source

    Source is public — you can audit it, fork it, and you'll never lose access to your workflows if sd-scripts (Kohya) the company changes direction.

  • Runs on 8 GB

    Comfortable on a mid-range consumer card — no need to remortgage for an A100.

  • Apple Silicon

    Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.

  • Top-tier pick

    Power-user score 88/100 — consistently rated highly by people who use this every day, not just benchmark chasers.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

Training guide →

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Standard

    A standard local install — download, install dependencies, point at your GPU.

  • Hardware comfort
    Mainstream

    Needs 8 GB minimum — RTX 3060 12GB or 4070 territory.

  • Ecosystem
    Active community

    Open source plus 4 community resources we've vetted — there are people to ask.

  • Verification
    Recent

    Catalogue entry last updated 71 days ago — re-verification due soon.

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for sd-scripts (Kohya)

Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.

[ MORE IN THIS NICHE ]

Other training & fine-tuning tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of sd-scripts (Kohya).

LIGHTEST HARDWARE //

Transformers

The library every LLM ships against first.

OPEN SOURCE2–24 GB VRAM
BEST FREE OPTION //

Diffusers

Hugging Face's go-to library for every diffusion model.

OPEN SOURCE4–12 GB VRAM
TOP QUALITY //

Kohya_ss

The standard SDXL/Flux LoRA training UI.

OPEN SOURCE12–24 GB VRAM

What is sd-scripts (Kohya)?

Kohya's sd-scripts is the canonical reference implementation for Stable Diffusion fine-tuning — DreamBooth, LoRA, LyCORIS, TI, full fine-tune. The GUI projects (Kohya, FluxGym) wrap these scripts. Direct use suits CI, containerised training, and reproducibility.

Pros & cons

✓ PROS

  • Canonical reference impl — what the GUI projects wrap
  • Reproducible: configs as plain JSON/TOML
  • Maintained directly by Kohya

– CONS

  • CLI only — no GUI
  • Documentation lives across GitHub issues + community wikis

What's actually free?

Apache 2.0.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives

Kohya_ss

The standard SDXL/Flux LoRA training UI.

OPEN SOURCE12–24 GB VRAM
VRAM fit12–24 GB