Setting up ai-toolkit to train a FLUX.2 dev LoRA: support status, the settings known to work, and links to the official docs. Status in ai-toolkit: supported (reference).
Ostris' trainer with a web UI and YAML configs; widest day-0 support for new image models. Community threads call it the easiest option for Flux/Krea. Sources: github.com/ostris/ai-toolkit, www.reddit.com/r/StableDiffusion/comments/1vrkd5x/which_platform_shoul
| Repo | ostris/ai-toolkit |
|---|---|
| GitHub stars | 12321 |
| Last commit | 2026-10-16 |
| Latest release | none published |
80 GB recommended; ai-toolkit ships train_lora_flux_24gb.yaml
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 |
Yes: supported (reference) (see sources below).
80 GB recommended; ai-toolkit ships train_lora_flux_24gb.yaml
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.