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Krea 2 LoRA training with musubi-tuner: setup guide

Setting up musubi-tuner to train a Krea 2 LoRA: support status, the settings known to work, and links to the official docs. Status in musubi-tuner: supported (fp8 / ConvRot int8 base).

About musubi-tuner

kohya's CLI scripts for newer models; supports fp8 base weights and recommends 12 GB+ VRAM for image training. Sources: github.com/kohya-ss/musubi-tuner

VRAM

Not published by trainers. musubi: 12GB+ recommended for image training (general guidance); fp8 or --convrot_int8 halves weight VRAM

Settings that work for Krea 2 (any trainer)

• Natural-language captions, ~70-500 words; shorter captions lock features harder
• Diverse dataset (varied expressions/angles)
• Train at 1024px or higher
• Batch size >= 2 if VRAM allows
• Training at 512px can work for output up to ~2MP; add higher-res buckets gradually [Discord community reports (AI Toolkit / banodoco / lodestone_rock servers), Oct 2026]
• ai-toolkit downscales images larger than 1536px [Discord community reports (AI Toolkit / banodoco / lodestone_rock servers), Oct 2026]
• With Automagic3 some report weaker LoRAs than with v1/v2; LoKr factor 8 or 4 + sigmoid timesteps suggested (matches my recipe) [Discord community reports (AI Toolkit / banodoco / lodestone_rock servers), Oct 2026]

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)
• Common safe start: LoKr with auto rank (~64), batch/grad accumulation 4 [Discord community reports (AI Toolkit / banodoco / lodestone_rock servers), Oct 2026]

Compare with other trainers

• ai-toolkit vs musubi-tuner for Krea 2
• OneTrainer vs musubi-tuner for Krea 2
• musubi-tuner vs SimpleTuner for Krea 2
• Krea 2 LoRA with ai-toolkit
• Krea 2 LoRA with OneTrainer
• Krea 2 LoRA with SimpleTuner
• Krea 2 (overview)

Where to rent a 16 GB+ GPU

Cheapest 16 GB+ cards (2026-10-16 14:43 UTC) from RunPod and Vast.ai. Prices move constantly; see the live price table.

Sources

• blog.hinablue.me/krea2-lora-trainer/
• www.reddit.com/r/StableDiffusion/comments/1vrkd5x/which_platform_shoul
• sanj.dev/post/onetrainer-vs-kohya-ss-vs-ai-toolkit/
• github.com/ostris/ai-toolkit#readme
• github.com/kohya-ss/musubi-tuner#readme
• github.com/kohya-ss/musubi-tuner/blob/main/docs/krea2.md
• github.com/bghira/SimpleTuner#readme
• github.com/kohya-ss/musubi-tuner

FAQ

Does musubi-tuner support Krea 2?

Yes: supported (fp8 / ConvRot int8 base) (see sources below).

How much VRAM do I need for a Krea 2 LoRA?

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.