Business Headshot

Business Headshot

A LinkedIn headshot without a studio. Camera, lens and lighting are specified, so it reads as a real photograph.

Use for LinkedIn, résumés, team pages

Tools Nano Banana Pro · ChatGPT Images

Prompt

Keep the facial features of the person in the uploaded image exactly consistent. Dress them in a professional navy blue business suit with a white shirt. Background: a clean, solid dark gray studio backdrop with a subtle gradient, slightly lighter behind the subject and darker towards the edges (vignette). No other objects. Photography style: shot on a Sony A7III with an 85mm f/1.4 lens for flattering portrait compression. Lighting: classic three-point lighting; soft defining shadows on the face, a subtle rim light separating shoulders and hair from the background. Crucial details: natural skin texture with visible pores, not airbrushed; natural catchlights in the eyes; subtle wool texture on the suit. Ultra-realistic 8k professional headshot.

Tips

Swap 'navy suit' for 'beige knit' for a startup tone.
'Visible pores' is what removes the AI look.

Sources

ZeroLu/awesome-nanobanana-pro §1.5 (GitHub)

License: MIT (ZeroLu/awesome-nanobanana-pro).

Prompt Dexbuilderlog.net · PROMPT DEX · FALL 2026 · 46 PROMPTS

We hunt the AI prompts people brag about on X, Instagram, TikTok, YouTube, Reddit and GitHub, and file them by what you want to make. Only prompts with public results or ones we ran ourselves, each with a rating and token estimate. This English edition carries the most-copied entries; the Korean dex has all 400+.

📦 Automation packs 🆓 Free prompts

000prompts

0.0avg rating / 5

0reproduced · tested locally

0need your photo

caught0/ 0

LAST SYNC

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Dex

📡 Live inbox

Scraped daily from GitHub, prompt collections and Hacker News. Unverified until a human reviews it

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★ Ratings

5: almost never fails, usable as-is
4: one or two regenerations
3: fun but inconsistent or weakly grounded

🔋 Tokens

Input: estimated at 1.3 Korean chars or 4 Latin chars per token
Text prompts use measured counts from a local Qwen2.5-14B run
One image ≈ 1,290 tokens on Gemini image models
Video and music bill per second, not per token

✅ Verification

Public result: several real outputs published by outlets or creators
Tested locally: text and settings prompts run on a local model to confirm format and intent
Translated prompts keep the original text under "Original text"

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Verbatim prompts come only from sources that permit redistribution (CC0, MIT, CC BY 4.0, official docs, public posts); each entry names its license and creator
Prompts reported by commercial outlets were rewritten by the editors with the same function; the source link is a reference, not a quotation
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