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 stand together at the seaside during sunset. Tai Yuan has short black hair with a "102" metal hairpin, purple eyes, and wears a decorated white military uniform with belts, chains, and a star medal. Chang Chun has long white hair with cat ears and a tiger tail, wearing a black fur coat over white pantyhose, knee pads, and pilot goggles around her neck. Both have detailed, expressive eyes with cinematic lighting enhancing their features. They stand in shallow water, their skin glistening with sweat and seawater under the golden sunset. The scene has soft backlighting, vibrant colors, and a dreamy atmosphere with light reflecting off the waves.
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