KeilaniAsmus, ID photo of Barbie doll, red girly dress, red scarf, very beautiful, ((red background)), <lora:add_detail:0.5>
KeilaniAsmus, ID photo of Barbie doll, red girly dress, red scarf, very beautiful, ((red background)), <lora:add_detail:0.5>
KeilaniAsmus, ID photo of Barbie doll, red girly dress, red scarf, very beautiful, ((red background)), <lora:add_detail:0.5>
KeilaniAsmus, ID photo of Barbie doll, red girly dress, red scarf, very beautiful, ((red background)), <lora:add_detail:0.5>
KeilaniAsmus, razored combover bob haircut, yellow paisley dress, spaghetti straps, looking at viewer, Hasselblad H6D, 80mm portrait, natural lighting, oiled skin, perfect eye blush, slightly open mouth, long eyelashes, <lora:epiCRealismHelper:0.2>, <lora:hairdetailer:0.3>, ((basic yellow backdrop:1.3)), detailed skin texture, (blush:0.5), (goosebumps:0.5), subsurface scattering, RAW candid cinema, 16mm, color graded portra 400 film, remarkable color, ultra realistic, textured skin, remarkable detailed pupils, realistic dull skin noise, visible skin detail, skin fuzz, dry skin, shot with cinematic camera
KeilaniAsmus, razored combover bob haircut, yellow paisley dress, spaghetti straps, looking at viewer, Hasselblad H6D, 80mm portrait, natural lighting, oiled skin, perfect eye blush, slightly open mouth, long eyelashes, <lora:epiCRealismHelper:0.2>, <lora:hairdetailer:0.3>, ((basic yellow backdrop:1.3)), detailed skin texture, (blush:0.5), (goosebumps:0.5), subsurface scattering, RAW candid cinema, 16mm, color graded portra 400 film, remarkable color, ultra realistic, textured skin, remarkable detailed pupils, realistic dull skin noise, visible skin detail, skin fuzz, dry skin, shot with cinematic camera
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Model Description by Creator

Keilani Asmus (b. 1993) is an American model. She's signed to Marilyn Agency in New York and Paris, No Ties Management in Los Angeles, Wilhelmina in Miami, and Modelwerk in Hamburg.

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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