Train a FLUX.2 klein LoRA on 16 GB VRAM

Can you train a FLUX.2 klein LoRA on a 16 GB GPU? Here is the short version.

Short answer: 16 GB is the top of the 12-16 GB range trainers list for FLUX.2 klein, so it gives headroom (batch size, resolution).

Exact VRAM data we have

12-16 GB

Memory-relevant settings

ComfyUI master (PR #17196) runs the FLUX.2 VAE in fp16: faster, closer to fp32, and no tiled VAE node needed at high resolutions. Your existing VAE file works after updating; don't use bf16 FLUX.2 VAE files

Trainers that support FLUX.2 klein

ai-toolkit: supported (klein base 4B and 9B)
OneTrainer: supported
musubi-tuner: supported

Other tiers: 12 GB · FLUX.2 klein overview

Where to rent a 16 GB+ GPU

Cheapest 16 GB+ cards (2026-10-20 08:06 UTC) from RunPod and Vast.ai. Prices move constantly; see the live price table.

GPU	VRAM	RunPod community $/hr	Vast.ai cheapest $/hr
Tesla V100	16 GB	$0.19	$0.08
RTX 3090	24 GB	$0.22	$0.12
RTX 5060 Ti	16 GB	—	$0.14
Tesla V100S	32 GB	—	$0.14
RTX A5000	24 GB	$0.16	—
RTX A4000	16 GB	$0.17	—

Sources

FAQ

Is 16 GB enough to train a FLUX.2 klein LoRA?

16 GB is the top of the 12-16 GB range trainers list for FLUX.2 klein, so it gives headroom (batch size, resolution).

What is the cheapest 16 GB+ GPU to rent?

See the table above and the live price page.

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Data updated 2026-10-20. Disclosure: RunPod and Vast.ai links are referral links; ImageLoRA may earn a commission at no cost to you. unknown = no data yet. · Raw data (JSON) · llms.txt