FLUX.1 LoRA training with kohya sd-scripts: setup guide

Setting up kohya sd-scripts to train a FLUX.1 LoRA: support status, the settings known to work, and links to the official docs. Status in kohya sd-scripts: supported.

About kohya sd-scripts

The long-standing kohya training scripts (also used by the kohya_ss GUI); strongest for SD1.5/SDXL-era models. Sources: github.com/kohya-ss/sd-scripts

Repo	kohya-ss/sd-scripts
GitHub stars	7244
Last commit	2026-09-24
Latest release	v0.12.0

VRAM

ai-toolkit ships a 24GB example config (train_lora_flux_24gb.yaml)

Settings that work for FLUX.1 (any trainer)

Community: ai-toolkit easiest; SimpleTuner more powerful (teacher-student regularization), harder data loader

General tips

Gated Hugging Face models: click 'Agree and access' on each model page, or you'll get 403 errors
Steps scale with dataset size (steps = epochs x images at batch 1)
Common safe start: LoKr with auto rank (~64), batch/grad accumulation 4 [Discord community reports (AI Toolkit / banodoco / lodestone_rock servers), Oct 2026]

Compare with other trainers

Where to rent a 24 GB+ GPU

Cheapest 24 GB+ cards (2026-10-16 14:43 UTC) from RunPod and Vast.ai. Prices move constantly; see the live price table.

GPU	VRAM	RunPod community $/hr	Vast.ai cheapest $/hr
RTX 3090	24 GB	$0.22	$0.12
RTX A5000	24 GB	$0.16	—
RTX PRO 4000	24 GB	$0.50	$0.26
RTX 3090 Ti	24 GB	$0.27	—
RTX A6000	48 GB	$0.33	—
RTX 4090	24 GB	$0.34	$0.39

Sources

FAQ

Does kohya sd-scripts support FLUX.1?

Yes: supported (see sources below).

How much VRAM do I need for a FLUX.1 LoRA?

ai-toolkit ships a 24GB example config (train_lora_flux_24gb.yaml)

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Data updated 2026-10-16. Disclosure: RunPod and Vast.ai links are referral links; ImageLoRA may earn a commission at no cost to you. unknown = not yet verified from a source.