Pristine Models

Pristine Models introduce a text-to-image architecture that compartmentalizes safe and unsafe knowledge during pretraining using a specialized attention mechanism. This approach enables disabling specific concept access at inference time, avoiding the catastrophic forgetting typical of post-hoc unlearning methods used to mitigate unsafe concept generation.