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Encoder-based Domain Tuning for Fast Personalization of Text-to-image Models
DescriptionOur method uses an encoder to guide text-to-image personalization, teaching a model how to generate specific, personal concepts in 5-15 training steps — roughly three orders of magnitude faster than the state of the art.
LocationPetree Hall D
Research & Education
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