FLUX.2 dev LoRA training with OneTrainer: setup guide

Setting up OneTrainer to train a FLUX.2 dev LoRA: support status, the settings known to work, and links to the official docs. Status in OneTrainer: supported.

About OneTrainer

GUI + CLI trainer with a broad model list; users report good VRAM use and speed but more settings to configure. Sources: github.com/nerogar/OneTrainer, sanj.dev/post/onetrainer-vs-kohya-ss-vs-ai-toolkit/

Repo	Nerogar/OneTrainer
GitHub stars	3243
Last commit	2026-10-16
Latest release	none published

VRAM

80 GB recommended; ai-toolkit ships train_lora_flux_24gb.yaml

Settings that work for FLUX.2 dev (any trainer)

Start from ai-toolkit train_lora_flux_24gb.yaml

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 OneTrainer support FLUX.2 dev?

Yes: supported (see sources below).

How much VRAM do I need for a FLUX.2 dev LoRA?

80 GB recommended; ai-toolkit ships 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.