
Document original
GPT Image 2 · en
{
"type": "Anime Character Design Collection",
"character": {
"name_japanese": "{argument name=\"character name\" default=\"Rei Ayanami\"}",
"name_english": "{argument name=\"english name\" default=\"REI AYANAMI\"}",
"hair": "{argument name=\"hair color\" default=\"light blue\"} shortwave head",
"eyes": "{argument name=\"eye color\" default=\"red\"}",
"outfit": "{argument name=\"outfit\" default=\"Blue vest dress, white short-sleeved shirt, red bow tie, black over-the-knee socks, white flat shoes\"}"
},
"layout": {
"header": {
"position": "Top left corner",
"elements": [
"Japanese name",
"English name",
"A Japanese descriptive text"
]
},
"turnaround": {
"position": "right side",
"count": 3,
"poses": [
"front",
"side",
"back"
]
},
"sections": [
{
"title": "Facial expressions",
"position": "Middle left",
"count": 6,
"description": "Avatars with different expressions: neutral, slight smile, surprised, blinking, open mouth, head down."
},
{
"title": "Detailed display",
"position": "Lower left",
"count": 4,
"items": [
"Red bow",
"Uniform upper body",
"Blue shoulder strap",
"small blue bag"
]
},
{
"title": "Color scheme",
"position": "bottom left corner",
"count": 5,
"items": [
"Red bow",
"blue vest dress",
"Mini ID Card",
"Black socks",
"Four circular color blocks (blue, light blue, white, and black)."
]
},
{
"title": "NERV ID Card",
"position": "bottom right corner",
"count": 3,
"items": [
"White flats",
"keychain",
"NERV identification tag on the lanyard"
]
}
]
},
"style": "Official anime concept art, cel-shaded style, clean lines, white background with light blue geometric decorations."
}Mode d’emploi
- Copiez le prompt original complet, paramètres compris.
- Adaptez le sujet, le texte et la composition à vos besoins.
- Utilisez un outil externe compatible ; vérifiez l’accès et le résultat.
Avant de commencer
- Vérifiez si une image de référence est nécessaire. La compatibilité ne prouve pas le modèle utilisé pour cet exemple.
- Vérifiez noms, chiffres et textes ; les versions du modèle peuvent produire des résultats différents.





