Lock identity, composition, lighting, and wardrobe before style words so a portrait series stays consistent instead of drifting frame to frame.
프롬프트
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.
변수 바꾸기
[SUBJECT]The person or reference image.
[FRAMING]e.g. head-and-shoulders, 3/4.
[LIGHTING]e.g. soft key, rim light.
사용할 모델
- Nano Banana Pro — Identity-preserving image edits are handled by the image model, not the text model.
예시 입력
- [SUBJECT] = uploaded reference photo. [USE] = "LinkedIn headshot".
예시 출력
저희는 실제 모델 실행의 예시 출력만 게시합니다. 이 템플릿은 아직 공식적으로 테스트되지 않아 출력이 표시되지 않습니다. 위의 입력값으로 직접 실행해 보세요.
이 구조가 작동하는 이유
- Structure-before-style stops adjectives from fighting each other.
- An explicit negative list removes common artefacts.
흔한 실패와 수정
Face drifts between generations.
수정: Reuse the same reference and keep identity terms first in the prompt.
알려진 한계
- Image models vary; results are not guaranteed and need review.
자주 묻는 질문
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.