Midjourney vs. Nano Banana vs. GPT image: what actually matters

They're all good now. The thing that breaks isn't quality — it's coherence across a whole set of images.

I've been generating AI images since these tools existed — every Midjourney version, Gemini's "Nano Banana" editing model, OpenAI's image models. Here's the honest state of it, no hype.

Midjourney still makes the most beautiful images

Nothing matches its raw aesthetic instinct — light, texture, mood. If you want one stunning frame, it's still the one to reach for.

But it's the worst at doing what you actually asked. Prompt coherence is its weak spot: you describe a scene and get something gorgeous but adjacent. You end up re-rolling and nudging. Beautiful results, low control.

Nano Banana is the opposite

It's incredible at editing and following instructions — change this, keep that, it listens. Coherence is excellent. What it lacks is Midjourney's taste: it does exactly what you said, but rarely with that distinctive style edge.

OpenAI's image model is the best all-rounder

Deep prompt understanding, reliably coherent, handles almost anything you throw at it, and the quality is genuinely excellent. The only thing missing is Midjourney's edge — that last 5% of stylistic swagger. For real work, where the image has to match the brief and not just look pretty, it's the one I reach for most.

So which do you use? Wrong question.

Generating one good image was never the hard part. The hard part is generating fifty — packaging, social posts, storefronts, hero shots — that all look like they belong to the same world.

Every raw model makes you re-describe your style in every single prompt. Do that fifty times and your library quietly drifts. By image thirty you're not on-brand anymore, you're just generating nice pictures. Coherence across a set is the real wall, and no single model solves it for you.

Where MoodyBoards fits

It's a layer, not another model

MoodyBoards isn't "pick a model." Two things make the difference:

The prompting layer. You describe your brand once, and the heavy lifting of turning that into prompts that actually hold together is done for you — so you get strong image understanding and quality without prompt gymnastics on every generation.
Reference images, made central. Attach your logo, a product shot, an inspiration frame — and every image is built around what you give it. Most tools bury this. We lean into it, so your references drive the output and results stay coherent and on-brand instead of generically "AI."

Put those together and you get what no single model gives you alone: understanding, quality, and consistency across everything you make.

The bottom line: the models keep getting better, and you almost can't pick a bad one anymore. But a better model doesn't keep your brand consistent across fifty images — a better layer does. That's the problem worth solving.

Describe your brand, attach your references, generate on-brand →