Fine-Tuning
Taking a pre-trained model and continuing its training on your own focused dataset so it specializes — in your brand's visual style, a specific character, or your company's tone of voice. Compared with prompting, fine-tuning bakes the knowledge in permanently; compared with training from scratch, it needs only hundreds or thousands of examples instead of billions. LoRA is the lightweight, popular way to fine-tune image models. Example: fine-tune on 50 on-brand product photos, and every future generation inherits your look without a 200-word style prompt attached to it.