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How to train a FLUX.2 klein LoRA

Which trainers support FLUX.2 klein (4B), how much VRAM you need, and settings that work. Every row links to its source.

Trainer support

VRAM

12-16 GB

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

• sanj.dev/post/onetrainer-vs-kohya-ss-vs-ai-toolkit/
• github.com/nerogar/OneTrainer
• github.com/ostris/ai-toolkit#readme
• github.com/kohya-ss/musubi-tuner#readme

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