The base model is the art engine.
SDXL already knows how to draw many kinds of images. It has general knowledge: portraits, animals, flowers, houses, line art, lighting, paper texture, and composition.
SDXL LoRA checkpoint review
Training a small style adapter, one checkpoint at a time.
This page shows what the model is learning as training progresses. It is not the final model. It is a way to see whether the pencil-line style is starting to appear, whether it is too weak, or whether it is getting too rigid.
Plain-English version
What is a LoRA?
The LoRA is a small set of steering notes.
Instead of rebuilding the whole model, LoRA training teaches a compact add-on. When the trigger word is used, that add-on nudges SDXL toward the look learned from the training set.
Checkpoints are progress snapshots.
During training, the system saves checkpoints. Early ones may barely show the style. Later ones may improve, or they may start forcing the same look too strongly. That is why we compare them side by side.
Outputs so far
Checkpoint tabs
Pick one evaluation package, then one checkpoint. Each checkpoint loads its sheet, image set, or settings separately so the page stays readable.
Later
Side-by-side comparisons
This section is reserved for interactive comparisons later: base model vs LoRA, checkpoint vs checkpoint, and strength sliders.