Lock identity, composition, lighting, and wardrobe before style words so a portrait series stays consistent instead of drifting frame to frame.
Der Prompt
Create an editorial portrait of [SUBJECT] for [USE]. Preserve facial identity and natural skin texture. Composition: [FRAMING]. Lighting: [LIGHTING]. Wardrobe: [WARDROBE]. Background: [BACKGROUND]. Color grade: [PALETTE]. Avoid plastic skin, distorted hands, text, logos, and over-sharpening.
Ersetze die Variablen
[SUBJECT]The person or reference image.
[FRAMING]e.g. head-and-shoulders, 3/4.
[LIGHTING]e.g. soft key, rim light.
Welches Modell verwenden
- Nano Banana Pro — Identity-preserving image edits are handled by the image model, not the text model.
Beispieleingabe
- [SUBJECT] = uploaded reference photo. [USE] = "LinkedIn headshot".
Beispielausgabe
Wir veröffentlichen nur Beispielausgaben aus echten Modellläufen. Diese Vorlage wurde noch nicht formell getestet, daher wird keine Ausgabe angezeigt. Führe sie selbst mit der Eingabe oben aus.
Warum diese Struktur funktioniert
- Structure-before-style stops adjectives from fighting each other.
- An explicit negative list removes common artefacts.
Häufige Fehler & Lösungen
Face drifts between generations.
Lösung: Reuse the same reference and keep identity terms first in the prompt.
Bekannte Grenzen
- Image models vary; results are not guaranteed and need review.
FAQ
Where are the tested portrait prompts?
The image gallery has portrait prompts with real example outputs. This page is a reusable template for building your own.