Author

Ritika Allada

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Preprint Aug 2026

RankT2I: A Submodular Framework for Discovering Interpretable and Diverse Semantics in Text-to-Image Models

RankT2I is presented, a novel, training-free, and model-agnostic framework that automates the discovery of editable semantics in diffusion and FLUX-based models and helps users efficiently identify a wide range of semantics for text-to-image editing models across several domains.

Ritika Allada, Pinar Yanardag · 0 citations