Pristine Models: training image generators on unsafe data without reproducing unsafe concepts
rzhang88 · x · 2026-10-21
Researchers introduce Pristine Models, addressing a safety training question: can image generators be trained on images of weapons, copyrighted characters, and other unsafe concepts without learning to reproduce them?
The method aims to deliver safer, high-quality image generation by preventing unsafe concepts from being absorbed during training; the authors explain the core idea in a thread with a one-minute video.
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