Evaluations (Evals) are benchmarked test suites used to track model behavior, regressions, and improvements against defined criteria.

DreamBooth is a personalization method that fine-tunes a model to generate consistent renderings of a chosen subject. It is a specialized form of Fine-tuning used in Subject-Driven Generation.

Textual Inversion introduces new concept tokens by learning embeddings that map to visual ideas. It is lightweight compared to full training and connects closely with Embeddings and DreamBooth workflows.