The WrapStudio AI Blog
Experiments, lessons, and behind-the-scenes notes from building an AI vehicle wrap generator.
Cleaner text on AI wrap mockups: a better model behind the fix step
After the AI builds a wrapped vehicle, a second step checks the text and fixes any mistakes. That fix is an image edit — and it's only as good as the model doing it. We upgraded that model to gpt-image-2. It powers every pipeline in the tool; here's a clear before/after from our instant-mockup pipeline, across several runs.
Read moreFlat wrap design with AI: 4 pipelines tested side-by-side
Flat wrap panels — the print-ready 2D artwork a wrap shop physically cuts and applies to a vehicle — are harder to generate than 3D mockups. We built four very different AI pipelines for the same flat panel job, ran each one 4 times on the same fictional brand, and compared the results. Same brief, no cherry-picking.
Read more3 ways to generate AI vehicle wraps using a custom-trained model
What if AI could learn your specific vehicle — not a generic van, but YOUR van — and generate wraps that fit perfectly from any angle? We trained a custom AI model on a Mercedes Sprinter, then tested three approaches to generating wrap concepts. Same fictional brand, four runs each, no cherry-picking.
Read more5 AI workflows for first-meeting wrap concepts — tested side-by-side
Most visitors show up with a single photo of their vehicle and want to see a concept for a commercial wrap — something to show a client in the first meeting. We built 5 very different AI workflows for that job, ran each one 4 times on the same fictional brief, and compared them honestly. These are experiments, not necessarily what's in production today.
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