Setting up ai-toolkit to train a SDXL LoRA: support status, the settings known to work, and links to the official docs. Status in ai-toolkit: supported.
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 |
low-VRAM friendly with gradient checkpointing, 8-bit optimizer, cached latents (exact GB unknown)
Cheapest 16 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 A4000 | 16 GB | $0.17 | $0.09 |
| Tesla V100 | 16 GB | $0.19 | $0.10 |
| RTX 3090 | 24 GB | $0.22 | $0.12 |
| RTX 5060 Ti | 16 GB | — | $0.12 |
| RTX 5070 Ti | 16 GB | — | $0.12 |
| RTX A5000 | 24 GB | $0.16 | — |
Yes: supported (see sources below).
low-VRAM friendly with gradient checkpointing, 8-bit optimizer, cached latents (exact GB unknown)
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.