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

#Azur Lane
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Two girls from Azur Lane, Taiyuan and Changchun, sit together in shallow water by the seaside at sunset. Taiyuan has short black hair with a purple bow tie and a metal chain belt, wearing a decorated white military uniform with star medals and leg belts. Changchun has long white hair with a fur coat and black fur clothes, wearing pilot goggles around her neck and a white tiger tail. Both have detailed purple eyes, with sweat and wet skin glistening under the soft golden light. The cinematic composition features backlighting, depth of field, and vibrant colors, capturing their relaxed yet elegant poses as they look away and up at the sky.
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