Photorealistic Beverage featuring Unreal Engine - Luxury & Advertising via ChatGPT
ChatGPT1:1

Photorealistic Beverage featuring Unreal Engine - Luxury & Advertising via ChatGPT

Photorealistic Beverage featuring Unreal Engine - Luxury & Advertising—a ChatGPT prompt with advertising and product-shot art direction.

#advertising#product-shot#beverage#photorealistic#cinematic

Best used for

Use as a starting point for product concepts, campaign mockups, or commercial image exploration.

Created by

Prompt Bookmarks @promptbookmarks Original source: x.com

The prompt

Copy it.
Then make it yours.

Worked on some AI product photography for Pepsi. 

Created using ChatGPT 

Prompt used: A hyper-realistic, ultra-detailed 3D digital advertisement showcasing a Pepsi can bursting open at its center, sending a refreshing splash of carbonated cola into the air, with effervescent bubbles and ice cubes flying outward. The can’s metallic surface is rendered with sharp, photorealistic textures, complete with condensation droplets, light reflections, and subtle scratches. Surrounding the scene are cold, translucent ice shards and a twist of lemon zest caught mid-motion, adding a vibrant contrast. The background features a deep electric blue gradient with cinematic volumetric lighting and soft lens flares. Green mint leaves and misty vapors add a refreshing, natural accent. The entire scene is rendered in 4K UHD using advanced global illumination, HDR lighting, and realistic shadows. The composition evokes premium beverage advertising with a dramatic tone, created using tools like Unreal Engine + Octane Render for maximum visual impact.

Refinement notes

Three useful ways to customize it

01

Subject and action

Replace the central subject first, then adjust its pose, action, expression, or relationship to the scene.

02

Composition and light

Change the viewpoint, crop, negative space, light direction, and contrast before layering on more style words.

03

Output shape

The saved reference uses 1:1. Change the aspect ratio to match the final placement before refining small details.