AI art "Small sisters" featuring #Azur Lane
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Small sisters

#Azur Lane
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Two female characters from *Azur Lane*, Taiyuan and Changchun, are depicted in a cinematic seaside scene at sunset. Taiyuan has short black hair with a purple bow tie, a white military uniform adorned with medals and belts, and detailed purple eyes. Changchun has long white hair, a black fur coat, white pantyhose, and pilot goggles hanging around her neck, with a playful white tiger tail and fake cat ears. Both sit in shallow water, their skin glistening with sweat and wetness under the golden sunset light. The composition features soft backlighting, intricate color details, and a dreamy depth of field, capturing their expressions as they look away or upward, lost in thought.
Mostra parametri
Immissione richiesta originale
perfecthand,goodhand,goodanatomy, (beautiful eyes, detailed eyes:12),seaside,sit in watter,1girl, solo, wet_skin, sweat, sweatdrop,looking away, looking up, sunset, sit in watter, metal hair pin "102",,cinematic lighting , cinematic angle, soft light , color detail, backlighting, Depth of field, long exposure, light steps, intricate colors, vibrant colors, 2girls,2 girls with taiyuan and changchun,//TaiYuan(azur lane),black hair,purple eye,short hair,number hair pin,bow tie,metal chain,belt,star medal,white military uniform,decorated uniform,boot,leg belt,decorated stripes,//Changchun(azur lane),white hair,purple eyes,knee pad, long sleeve, full white pantyhouse,boots,fur coat,number hair pin,black fur clothes,arm band,binoculars hang around neck,pilot googles,fake cat ear,white tiger tail,
Tag qualità
high quality, year_2025, year_2024, ﹝Prompt﹞
Dimensione
768 x 1280
Passaggi di campionamento
22
Metodo di campionamento
Euler
Scala CFG
4.5
Negativo
bad quality, low quality, worst quality, lowres, nsfw, jpeg artifacts, scan artifacts, mosaic, cropped, error, fewer digits, bad reflection, bad composition, bad anatomy, bad hands, bad fingers, missing fingers, extra hands, extra legs, excess fingers, light particles, artist name, text, watermark, username, copyright name

Modello e LoRA utilizzati