Setting up SimpleTuner to train a Z-Image LoRA: support status, the settings known to work, and links to the official docs. Status in SimpleTuner: supported.
bghira's trainer; community describes it as more powerful (e.g. teacher-student regularization) but with a harder data loader setup. Sources: github.com/bghira/SimpleTuner, www.reddit.com/r/FluxAI/comments/1ogw37j/best_flux_lora_trainer/
| Repo | bghira/SimpleTuner |
|---|---|
| GitHub stars | 2940 |
| Last commit | 2026-10-16 |
| Latest release | v4.9.3 |
Not published. musubi: 12GB+ recommended for image training (general); --fp8_llm saves VRAM
No verified settings yet.
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).
Not published. musubi: 12GB+ recommended for image training (general); --fp8_llm saves 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.