Setting up OneTrainer to train a Krea 2 LoRA: support status, the settings known to work, and links to the official docs. Status in OneTrainer: supported (per community blog; not in README list).
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 |
Not published by trainers. musubi: 12GB+ recommended for image training (general guidance); fp8 or --convrot_int8 halves weight VRAM
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 (per community blog; not in README list) (see sources below).
Not published by trainers. musubi: 12GB+ recommended for image training (general guidance); fp8 or --convrot_int8 halves weight VRAM
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.