Process

Dataset — selecting and cleaning the images the model learns from.

Captioning — writing captions that separate identity from everything else.

Training — training the LoRA and checking checkpoints.

Comparison — checkpoints and weights side by side, fixed seed.

Results — the adapter that is handed off.