Large hero element on the hood features — AI wrap design for a Model Y (2025+) Standard
Model Y (2025+) Standard

Large hero element on the hood features

by user_9a93702d

About this design

“Large hero element on the hood features” is an AI-generated wrap laid out on the Model Y (2025+) Standard template, so every panel, curve and cutout lines up with the real vehicle. It was generated from the prompt below — you can reuse that prompt as-is, or edit a word and get a completely different result.

The prompt behind it

“Hood: The large hero element on the hood features Haci Pupu from Pop Mart, depicted with its signature oversized head, bright blue eyes, and playful smile, surrounded by whimsical, swirling pastel colors that evoke a sense of joy and mischief. Sides: Each side showcases a vibrant pattern of Haci Pupu's adorable friends, illustrated in a variety of poses and expressions, all upright and properly oriented, set against a soft gradient background of pinks and greens that complements the main character. The overall color palette is a cheerful mix of pastel hues, creating a cohesive and lively theme that captures the playful essence of the Pop Mart collection.”

Likes
0
Downloads
0
Saves
0
Make my own version

Making your own? The first one is free: new accounts get a free credit.

Free · on your screen in ~30s

Put it on your car's screen

  1. 01Download the designFree, no account needed. You get a PNG mapped to your exact model's template.
  2. 02Send it from your phoneOn vehicle software 2026.26 and app 4.59.0 or newer, open Creations → Wrap in the vehicle app (Wraps on older cars), tap Upload and pick the image. It arrives over the air.
  3. 03Or use a USB driveOn older software, put the file in a folder named Wraps on a drive formatted exFAT or FAT32, plug it in and pick it from Toybox on the touchscreen. Your car now wears it on screen — and in the app.

Full step-by-step guide, with file specs and fixes →

Comments

Loading comments…

More like this

Other Model Y Standard wraps

Browse all designs