Guides
Guides to building LoRA training datasets
Focused guides that do not duplicate the blog: when to use IP-Adapter versus a trained LoRA, and what a FLUX.1 dataset needs. For image counts, captioning, identity drift, Kohya folders, and one-image workflows, use the LoRA Dataset blog.
Last updated 15 September 2026
IP-Adapter vs LoRA for consistent characters
IP-Adapter conditions on a reference image with no training; a LoRA bakes a character into trained weights. When to use each, and how to combine them.
Updated 5 September 2026 · 3 min read
FLUX.1 LoRA dataset requirements
What a FLUX.1 LoRA dataset needs: image count, resolution and aspect ratios, natural-language captions with a trigger word, folder layout, and licence notes.
Updated 5 September 2026 · 3 min read