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템플릿>Train Glance AI Portrait from Photo

Train Glance AI Portrait from Photo

Turn one adult photo into a backlit train-carriage portrait, turning to camera among a moving crowd and bright window sun.

Train Glance Image EditAi Image EditorNano Banana V2
도구
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Nano Banana 2 ↗

인물, 제품 이미지, 크리에이티브 편집 워크플로에 적합한 이미지 모델입니다.

템플릿 설정
입력
프롬프트 + 선택적 참조 이미지
출력
생성된 이미지 결과
API
모델 페이지의 가격, 배치 사용량, 응답 형식
(필수)
0/5000
아이디어:
종횡비
auto
1:1
16:9
9:16
4:3
3:4
API Key 만들기

What this Train Glance template creates

Turn one photo into a sunlit train-carriage glance to camera. Train windows, strong backlight, a turning glance, and a blurred crowd define the look.

What you create

Turn one photo into a sunlit train-carriage glance to camera

Defining visual direction

Train windows, strong backlight, a turning glance, and a blurred crowd define the look.

Best for

Travel portraits, cinematic stills, and transit editorials

What to upload for Train Glance

Upload one clear adult photo for train glance. Keep the face visible and choose a crop that fits this scene.

Prepare one reference photo

Upload one clear adult photo for train glance. Keep the face visible and choose a crop that fits this scene.

Keep the core composition

Train windows, strong backlight, a turning glance, and a blurred crowd define the look.

Use the tested starting point

Generate the baseline first, then change only one creative variable.

Nano Banana 2 prompt and settings

Use Nano Banana 2 for this image edit template to turn one photo into a sunlit train-carriage glance to camera.

Model

Nano Banana 2 (nano_banana_v2)

Verified settings

2K, 2:3, 1 reference photo

Reusable English prompt

Use the uploaded adult photo as the identity reference. Create a photoreal portrait of an adult standing in a crowded train carriage, turning to look at the camera, white shirt and dark suspenders, bright window backlight, motion-blurred crowd. Fully covered. Avoid logos, readable text, nudity, and identity drift.

How to create Train Glance

Turn one photo into a sunlit train-carriage glance to camera Follow the three-step image edit workflow and review the first image before iterating.

01

1. Add one reference photo

Upload one clear adult photo for train glance. Keep the face visible and choose a crop that fits this scene.

02

2. Generate the baseline

Keep the defining direction: Train windows, strong backlight, a turning glance, and a blurred crowd define the look.

03

3. Review and refine

Check identity, clothing coverage, and extra crowd anatomy. Then change shirt or tie, but keep the carriage, the sun, and the turn to camera.

Before you publish Train Glance

Check identity, clothing coverage, and extra crowd anatomy. Results can vary between generations, so inspect the full-size image before publishing.

Match the intended result

The image should turn one photo into a sunlit train-carriage glance to camera.

Inspect the details that matter

Check identity, clothing coverage, and extra crowd anatomy.

Change one variable

Change shirt or tie, but keep the carriage, the sun, and the turn to camera.

Where Train Glance works well

Useful for travel portraits, cinematic stills, and transit editorials.

Train Portraits

Keep the windows so the train reads.

Backlit Transit Stills

Use the turn to camera as the hook.

Cinematic Travel Photos

Review crowd blur and likeness.

Train Glance questions

Answers about inputs, settings, customization, API reuse, and output formats for Train Glance.

/ 01

What does this template create?

Turn one photo into a sunlit train-carriage glance to camera

/ 02

What input is required?

Upload one clear adult photo for train glance. Keep the face visible and choose a crop that fits this scene.

/ 03

Which model and settings are used?

Nano Banana 2 with 2K, 2:3, 1 reference photo.

/ 04

How can I customize it?

Change shirt or tie, but keep the carriage, the sun, and the turn to camera.

/ 05

Can I reuse this template through the API?

Yes. Send model key nano_banana_v2 and the reusable English prompt from this page to create programmatic variations.

/ 06

Which output format should I expect?

Image templates return a generated image such as PNG or JPEG; video templates return an MP4-style video. Review the final output and resize only after generation.

/ 07

Will every result match the demo?

No. Check identity, clothing coverage, and extra crowd anatomy. Details vary between generations.

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