Portrait#influencer#Bora Demir#male creator#smartphone#fictional AI character

Caught the ferry, lost some sleep

@cankirkgoz published byFounding Creator

Vapur kaçmadı, uyku kaçtı. Sabah vapuruna yetişince günün kalanını da hallederim sanıyorum. Çantada maket, elde çay. ☕ Catching the morning ferry makes me feel like I can handle the whole day. Model in my bag, tea in hand. ☕ Bora is a fictional adult AI character. Deliberately taken smartphone photo; customize this scene using your own labeled identity reference.

000

Model compatibility

1 of 1 models tested

Test status, version/settings and what changed when the prompt was adapted, per model.

ChatGPT ImageTested
Settings:Built-in image_gen, same Bora master identity reference for every photo; recurring companions use separately assigned visual references. Each scene visually reviewed for identity, anatomy and deliberate smartphone capture.
Tested on:2026-11-04
Changed when adapting: Fictional AI example. Customize with your own main reference and optional labeled companion references.

Reference photo note

This site does not generate images. Upload the reference photos separately to the model you will use.

Model compatibility

Some prompts may produce different results in models such as Midjourney, Gemini, ChatGPT Image, Stable Diffusion, Flux, or Grok. A prompt that works very well in one model may need extra adjustment in another.

Model tips

Keep the JSON structure as much as possible. For models that prefer natural language, paste the JSON and ask the model to follow every field.

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Identity

Gender *

Composition

People count *

Photo format *

Detected in this prompt

These details were detected automatically. Remove or change them and the JSON updates instantly.

Outfit

Bag

“backpack”

Hoodie· colour

“navy hoodie”

T-shirt· colour

“grey t-shirt”

Phone

“his own phone”

Scene

Time of day

“morning”

Weather

“cloudy”

Image orientation

If you do not choose an orientation, no extra orientation instruction is added to the prompt.

Negative prompt

Each line is added as a separate item to the negative prompt list.

Customize prompt details

Detail to edit

New value

JSON prompt

Live output updates with every filter.

Copy in one click and paste it into your model. You can still edit it in the field below.

Editorial guideUpdated November 4, 2026

How to use and evaluate “Caught the ferry, lost some sleep”

This portrait prompt is designed as an editable starting point, not a guaranteed one-click result. The notes below translate its JSON into a readable visual plan, identify the controls that matter, and show how to diagnose a weak generation without simply adding more text.

Prompt-specific blueprint

Scene and atmosphere

Location: Open passenger deck of an ordinary Istanbul ferry, blue plastic seats, water and a few distant passengers

Visual treatment

Medium: Unretouched everyday smartphone photo. Natural pores, slight blemishes, ordinary fabric creases, honest low-light grain. No portrait mode, cinematic grade or beauty filter.

Composition and wardrobe

People Count: single
People Count Label: one adult main reference person
Framing: vertical 4:5 front-camera selfie at arm length slightly above eye level; one foreshortened forearm enters the lower edge, phone itself outside the image, ferry seats remain sharp
Aspect ratio: 4:5
Wardrobe · Description: faded navy zip hoodie over a heather grey T-shirt, backpack strap on one shoulder

Recommended workflow

01
Prepare the input
Choose reference images you have permission to use. For Caught the ferry, lost some sleep, prioritize a clear subject and avoid unrelated people or private details in the frame.
02
Lock the visual plan
Confirm subject count, framing, scene, and lighting before adding finishing language. Resolve conflicts such as close-up versus full-body composition.
03
Adapt for one model
Start with ChatGPT Image. Keep a baseline generation and document the exact model version, references, aspect ratio, and visible settings.
04
Revise from evidence
Name the visible failure, change one instruction block, and compare it against the baseline. Keep only revisions that improve the intended criterion.

Model adaptation notes

ChatGPT Image

Keep the JSON structure, attach references in the same conversation, and use follow-up edits for one local correction at a time.

A compatibility label means the visual intent can be adapted; it does not promise identical output across providers, versions, or settings.

Prompt-specific quality checklist

The output preserves the intended portrait subject and scene.
Lighting direction, camera framing, and environmental details agree.
The result can be compared against the prompt’s stated purpose.

Failures to check before publishing

pasted face
oversized head
twisted neck
plastic skin
extra fingers
extra limbs
merged identities

Why the editable controls matter

Gender

Changes Prompt.Identity.Gender without requiring a full prompt rewrite.

People count

Changes Prompt.Composition.People Count Label without requiring a full prompt rewrite.

Photo format

Changes Prompt.Composition.Aspect Ratio without requiring a full prompt rewrite.

Identity or subject drift

Reduce competing style language, improve the reference, and separate stable traits from pose, gaze, and expression.

Composition breaks

Check whether crop, shot distance, aspect ratio, subject count, and required objects can all be satisfied in one frame.

Artificial lighting or texture

Name a motivated light source and believable material behavior before adding grain, grading, sharpness, or resolution terms.

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Identity

Composition

Detected in this prompt

Image orientation

Negative prompt

Customize prompt details

JSON prompt

Scene and atmosphere

Visual treatment

Composition and wardrobe

Prepare the input

Lock the visual plan

Adapt for one model

Revise from evidence

ChatGPT Image

Prompt-specific quality checklist

Failures to check before publishing

Gender

People count

Photo format

Identity or subject drift

Composition breaks

Artificial lighting or texture

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