Comparing OpenAI Image 1 and Google Nano Banana Models for Style-Consistent Image Generation

A few months ago, I ran an experiment to create Telex cover images using OpenAI and Google Nano Banana models. The goal was to generate images with a specific style using the same prompt across both models.

Telex is an experimental AI tool for creating WordPress blocks through an interactive AI coding assistant in a visual, live-preview environment directly in the browser.

The idea behind the experiment was to reproduce the dithering aesthetic of the Telex website for user-created projects. These cover images would be used as sharing images for blogs and social platforms, and potentially in the future dynamic project showcase on the Telex homepage.

These are some of the images produced. All of them were created using the same prompt:

Example project: “Confetti button block”

Google vertex imagen-4.0-generate-001

Open AI gpt-image-1

Example project: “Contact form block”

Google vertex imagen-4.0-generate-001

Open AI gpt-image-1

Example project: “Hosting pricing block”

Google vertex imagen-4.0-generate-001

Open AI gpt-image-1

Some conclusions after comparing both models

ModelGoogle vertex imagen-4.0-generate-001Open AI gpt-image-1
Speed~ 9 seconds per image~30 seconds per image
Color consistencyConsistent: always pure black and whiteNot consistent: Sometimes the white is yellowish
DitheringNot real dithering effect but more consistent type of dots across imagesNot real dithering effect and inconsistent type of dots across images
SubjectSeems more abstract and not so literalSeems more figurative and literal

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