← ImageLoRA

How to train a Z-Image LoRA

Which trainers support Z-Image, how much VRAM you need, and settings that work. Every row links to its source.

Trainer support

VRAM

Not published. musubi: 12GB+ recommended for image training (general); --fp8_llm saves VRAM

Known-good settings

• unknown

General tips

• Gated Hugging Face models: click 'Agree and access' on each model page, or you'll get 403 errors
• Steps scale with dataset size (steps = epochs x images at batch 1)
• A safe start: LoKr with auto rank (~64), batch/grad accumulation 4

Where to rent a GPU

See cheapest GPU to train a LoRA (RunPod, Vast.ai).

Sources

• github.com/nerogar/OneTrainer
• www.reddit.com/r/StableDiffusion/comments/1vrkd5x/which_plat
• github.com/ostris/ai-toolkit#readme
• github.com/kohya-ss/musubi-tuner#readme
• github.com/kohya-ss/musubi-tuner/blob/main/docs/zimage.md
• github.com/bghira/SimpleTuner#readme

Data updated 2026-10-20. RunPod and Vast.ai links are referral links. unknown = no data yet. · Raw data (JSON) · llms.txt