Ink-Twin Doodle Stylization

Ink-Twin Doodle Stylization

Documento originale

GPT Image 2 · en

{
  "identity_ref": {
    "source": "uploaded photo",
    "lock": ["face", "eyes/nose/mouth", "skin tone", "hair (length/texture/color)", "accessories", "exact outfit"],
    "rule": "no invented details"
  },
  "composition": {"format": "vertical 4:5/9:16", "figures": ["real subject", "ink-twin doodle"], "layout": "side by side, poses fully visible"},
  "real_subject": {"style": "photoreal, full-body", "outfit": "match reference exactly", "expression": "playful, embarrassed, caught-out charm", "pose": "natural, toned-down version"},
  "ink_twin": {
    "style": "rough black sketch/charcoal doodle on wall",
    "recognizability": "silhouette only (hair/outfit/pose shape)",
    "avoid": ["realistic 2nd person", "flat shadow", "color cartoon"],
    "energy": "amplified, chaotic vs real subject",
    "extras": "optional sparse comic marks (motion lines/star/heart)"
  },
  "pose_rule": {
    "instruction": "new playful/mischievous shared pose each time",
    "avoid": ["pointing", "finger-guns", "mirrored/repeated poses"],
    "relationship": "subject = subtle version; twin = amplified cartoon version, same beat"
  },
  "setting": {"background": "clean minimal wall (white/cream/gray)", "lighting": "soft, even, daylight-style, face visible"},
  "mood": "playful, stylish, chaotic-fun, shareable",
  "negative_prompt": [
    "invented appearance", "outfit changes", "twin as real 2nd person",
    "flat/creepy shadow", "color cartoon twin", "weak resemblance",
    "clutter", "repeated/stiff/mirrored poses", "text", "watermark",
    "extra limbs", "bad hands"
  ]
}

Come usare

  1. Copia tutto il prompt originale, inclusi i parametri.
  2. Adatta soggetto, testo e composizione alle tue esigenze.
  3. Usa uno strumento esterno compatibile; verifica accesso e risultato.

Prima di iniziare

  • Controlla se serve un’immagine di riferimento. La compatibilità non prova il modello usato per l’esempio.
  • Verifica nomi, numeri e testi; i risultati cambiano con le versioni del modello.

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