<a target="_blank" rel="ugc" href="https://www.instagram.com/lunachristensenx/">Luna Berger Christensen</a> (b. 2000) is an Italian-Dutch model who split her childhood between Milan, Shanghai, and Barcelona. She's signed to <a target="_blank" rel="ugc" href="https://www.fashionmodel.it/en/women/luna-christensen">Fashion Model Management</a> in Milan, <a target="_blank" rel="ugc" href="https://www.suprememanagement.fr/search/10719-luna-christensen.web">Supreme Management</a> in Paris, <a target="_blank" rel="ugc" href="https://www.nevsmodels.co.uk/women/all/850-luna-c">Nevs Models</a> in London, <a target="_blank" rel="ugc" href="https://www.identitymodelsnewyork.com/models/1746-luna-christensen/">Identity Models</a> in New York, <a target="_blank" rel="ugc" href="https://www.immbruxelles.com/main/model/luna-christensen/search">IMM</a> in Brussels, <a target="_blank" rel="ugc" href="https://scoopmodels.com/model/luna-christensen">Scoop Models</a> in Copenhagen, <a target="_blank" rel="ugc" href="https://www.icemodels.co.za/mainboard/women/1482238/luna-christensen">Ice Models</a> in Cape Town, <a target="_blank" rel="ugc" href="https://www.model-management.de/models/1852-luna-berger-christensen/">Model Management</a> in Hamburg, and <a target="_blank" rel="ugc" href="https://sight-management.com/en/gallery/model/4434-Luna+Christensen">Sight Management</a> in Barcelona. She was also an international alpine skier <a target="_blank" rel="ugc" href="https://www.gettyimages.ca/detail/news-photo/luna-berger-christensen-of-denmark-competes-during-the-news-photo/635083158">competing</a> for Denmark from <a target="_blank" rel="ugc" href="https://www.fis-ski.com/DB/general/athlete-biography.html?sector=AL&amp;competitorid=213484&amp;type=result">2016 to 2018</a>, and she <a target="_blank" rel="ugc" href="https://www.linkedin.com/in/luna-christensen-4442351b8/">has degrees</a> from the University of Westminster and Istituto Europeo di Design.This embedding is based on 30 images, cooked for a total of 300 steps on base SD1.5: 16 vectors per token, a 0.004 learning rate, a batch size of 6, and 5 gradient steps.Your ratings, especially of the five-star variety, are very much appreciated.

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