Google Nano Banana
ChatGPTThe AI image generation war is heating up. Google launched Nano Banana, and it ripped through the AI landscape like a shockwave. Demos flooded timelines, comparisons popped up overnight, and suddenly the bar for speed, fidelity, and prompt obedience moved up a notch. This forced OpenAI to pause, rethink, and recalibrate its image strategy. The result was ChatGPT Image, a not-so-subtle signal that image generation is no longer a side feature, but a core battleground. We are watching a familiar pattern play out again. One bold launch raises expectations, the incumbent responds, and users win. Faster iteration, sharper visuals, tighter integration. The quiet phase is over. From here on, every image model release is a statement of intent.
In this tutorial, we break down what actually matters between Nano Banana Pro and ChatGPT Image. Where they overlap, where they diverge, and where the differences are big enough to change which tool you should reach for. You will also learn how to build a clean, reusable comparison matrix so you can apply the same framework to any future model matchup without starting from scratch. Not theory. Real prompts, real outputs, and clear takeaways.
By the end of this tutorial, you'll be able to:
- Create 5 use cases for comparison
- Use similar prompts for all models to generate comparable results
- Generate images with all models
- Review and iterate
Let’s get right into it!
