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SDXL LoRA training with kohya sd-scripts: setup guide

Setting up kohya sd-scripts to train a SDXL LoRA: support status, the settings known to work, and links to the official docs. Status in kohya sd-scripts: supported.

About kohya sd-scripts

The long-standing kohya training scripts (also used by the kohya_ss GUI); strongest for SD1.5/SDXL-era models. Sources: github.com/kohya-ss/sd-scripts

Repokohya-ss/sd-scripts
GitHub stars7244
Last commit2026-09-24
Latest releasev0.12.0

VRAM

low-VRAM friendly with gradient checkpointing, 8-bit optimizer, cached latents (exact GB unknown)

Settings that work for SDXL (any trainer)

General tips

Compare with other trainers

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.

GPUVRAMRunPod community $/hrVast.ai cheapest $/hr
RTX A400016 GB$0.17$0.09
Tesla V10016 GB$0.19$0.10
RTX 309024 GB$0.22$0.12
RTX 5060 Ti16 GB—$0.12
RTX 5070 Ti16 GB—$0.12
RTX A500024 GB$0.16—

Sources

FAQ

Does kohya sd-scripts support SDXL?

Yes: supported (see sources below).

How much VRAM do I need for a SDXL LoRA?

low-VRAM friendly with gradient checkpointing, 8-bit optimizer, cached latents (exact GB unknown)

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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.