ChatGPT images vs Nano Banana
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I’ve been using Google’s @NanoBanana image tools for a while now for quick visuals, edits, and the occasional cursed meme. They’ve been good enough that I haven’t really felt a big urge to switch.
But I’m seeing a ton of buzz around @ChatGPT Images and how much better they are for real-world stuff like thumbnails, product shots, and UI mocks.
So I’m curious: what are you actually using right now, day to day? If you’ve tried both, which one do you reach for first, and where does each one fall apart – faces, text, logos, details?
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Replies
ChatGPT by a huge margin wins the game.
My use case is often to generate images with text, sometimes non-English characters. To be honest, neither is good enough according to my own standard because they frequently generate illegible characters.
If I have to choose, I prefer Nano Banana because it is more thoughtful reading my prompts and the images always look more elegant than ChatGPT. Also, the images generated by ChatGPT often look brown-ish.
For me it really comes down to intent.
Tools like Nano Banana feel great for quick visuals and playful experimentation, while ChatGPT Images seem stronger when accuracy matters — especially text, UI elements, and anything meant to look “real” or product-ready.
I’ve noticed that the more the output needs to survive scrutiny (logos, layouts, thumbnails), the more consistency starts to matter over raw creativity. Curious to see how people are mixing both in their day-to-day workflows.
WOV
Nanobanana is good - but with simplicity in prompts, ChatGPT is ruling.
Little more efforts and Nanobanana can easily get to surpass ChatGPT
ChatGPT tiene un margen de maniobra más amplio, pero el estilo de sus imágenes empieza a estar quemado y nanobanana aporta más creatividad y estilo a las imágenes que le pides. Pero estoy seguro que ChatGPT acabará mejorando esta parte.
IMAI Studio
would suggest ChatGPT
I personally prefer @NanoBanana
Mainly because it’s faster and more versatile for day-to-day use—especially for quick iterations and edits. I’ve also found that it makes fewer mistakes with text (UI labels, words, readability), which saves a lot of time.