Train a FLUX.2 dev LoRA on 24 GB VRAM

Can you train a FLUX.2 dev LoRA on a 24 GB GPU? Here is what the sources actually say.

Short answer: 80 GB is recommended for FLUX.2 dev, but ai-toolkit ships a 24 GB config (train_lora_flux_24gb.yaml). Expect slower, memory-optimised training.

Exact VRAM data we have

80 GB recommended; ai-toolkit ships train_lora_flux_24gb.yaml

Trainers that support FLUX.2 dev

ai-toolkit: supported (reference)
OneTrainer: supported
musubi-tuner: supported
SimpleTuner: supported

Other tiers: FLUX.2 dev overview

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

Is 24 GB enough to train a FLUX.2 dev LoRA?

80 GB is recommended for FLUX.2 dev, but ai-toolkit ships a 24 GB config (train_lora_flux_24gb.yaml). Expect slower, memory-optimised training.

What is the cheapest 24 GB+ GPU to rent?

See the table above and the live price page.

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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.