AI art "Minase Iori, idol training05" featuring #The Idolmaster, #Iori Minase and #The Idolmaster Million Live!
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Minase Iori, idol training05

Minase Iori's idol training day, now she is doing push up

#The Idolmaster#Iori Minase#The Idolmaster Million Live!
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minase iori (idolmaster million live), (3d), 1girl, solo, brown hair, long hair, straight hair, forehead, swept bangs, hairband with hair bow, pink eyes, concentrating, clenched teeth, v-shaped eyebrows, facing ahead, sweat, sweatdrop, sweatline, fitness wear, tight sleeveless white shirt with pink stripe patterns, navel, tight black short pants, pink sports shoes, exercising, push-ups, yoga mat, indoors, dancing studio, wide space, polished floor, white walls, well lit, anime screencap, source_anime, full body, (best quality), (masterpiece:2.0), (japanese animation style:1.3), (finely detailed:1.7), (ideal ratio body proportions:1.3)
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Prompt original
minase iori (idolmaster million live), (3d), 1girl, solo, brown hair, long hair, straight hair, forehead, swept bangs, hairband with hair bow, pink eyes, concentrating, clenched teeth, v-shaped eyebrows, facing ahead, sweat, sweatdrop, sweatline, fitness wear, tight sleeveless white shirt with pink stripe patterns, navel, tight black short pants, pink sports shoes, exercising, ,push-ups, yoga mat, indoors, dancing studio, wide space, polished floor, white walls, well lit, anime screencap, source_anime, full body, (best quality), (masterpiece:2.0), (japanese animation style:1.3), (finely detailed:1.7), (ideal ratio body proportions:1.3)
Talla
768 x 1280
Pasos de muestreo
25
Método de muestreo
Euler a
Escala CFG
6
Excluir de la imagen
NSFW, worst quality, bad quality, low quality, lowres, scan artifacts, jpeg artifacts, sketch, (worst quality, bad quality:1.1), lowres, jpeg, artifacts, signature, username, text, logo, bad anatomy, artist name, artist logo, extra limbs, extra digit, extra legs, extra legs and arms, disfigured, missing arms, too many fingers, fused fingers, missing fingers, unclear eyes, blur, film grain, noise,

Modelo y LoRA utilizados