<ul><li>Despite advances in text-to-image models, prompting does not always lead to desired outputs.</li><li>Controlling model behavior by steering intermediate activations is an alternative to reach concepts in latent space.</li><li>Experiments show that concept reachability in latent space has a distinct phase transition and can be impacted by where the intervention is performed.</li><li>Model providers can leverage steering to reach concepts reliably without costly retraining, dataset curation, and innovate with control mechanisms for users.</li></ul>

Concept Reachability in Diffusion Models: Beyond Dataset Constraints

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