fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
Why it matters
Teams can customize a flagship closed image model from 1 to 5 reference images, then reuse that finetune across inpainting and depth-conditioned endpoints, achieving brand or character consistency without training a separate model per tool.
