Product Placement Photo generates viral e-commerce poster images — a person modeling your product, optional bold marketing copy, three proven viral aesthetics. Output looks like a high-impact campaign poster you would see on X, TikTok, or Instagram.
Most product photo tools generate generic studio shots or ask you to brief a designer. This one bakes in three proven viral compositions and fills them with your real product photo, your model, and your copy.
What you can do
- Drop in a real product photo (URL or saved file) and a persona (saved or described in plain English)
- Swap the persona's wardrobe — pass a saved outfit or describe one inline
- Control framing — pick a shot zoom (close-up, half body, full body, wide) and camera angle (front, three-quarter, side profile, etc.)
- Pick a visual style:
- infographic — AirPods-style stat poster: close-up product, person mid-ground, headline, feature, two stat callouts
- surreal_oversized — Crocs-style: monochrome studio, giant product as set piece, person leaning on it, single bottom tagline
- editorial_zine — Nike-style: dark moody editorial, body part with product, orbiting micro-text, dual-weight bold headline, scattered accent symbols
- Toggle copy on/off for clean shots with no text
- Pick any aspect ratio for the platform you're posting on
- GPT Image 2 by default — renders typography accurately
Who it's for
DTC brands launching a product. Marketing teams that need a viral poster without booking a photoshoot. Solo founders who want a polished launch image in one prompt.
How to use it
- Get your product image — saved product or a public URL
- Pick a persona — saved or describe in a sentence
- Choose a style — infographic, surreal_oversized, or editorial_zine
- Set include_copy true for text overlays, false for a clean shot. Fill in the relevant copy fields per style.
- Run generate — portrait poster with permanent shareable link
Getting started
Try with a saved product and persona, or describe both in plain English. GPT Image 2 is the default because it renders typography well — other image models tend to distort the text overlays.