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Flux 2 Pro vs Google Nano Banana Pro

Flux 2 Pro vs Google Nano Banana Pro — generated on PixelDojo
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Flux 2 Pro costs 1.5 credits and edited our reference photo in about 32 seconds. Google Nano Banana Pro costs 3 credits, exactly double, and took about 38 seconds on the same job. Both kept the subject's face, glasses, hair, and outfit intact. The real difference showed up in the background: Nano Banana Pro wrote out real, readable shop signs, and Flux 2 Pro didn't.

Same reference, both models, August 26 2026

Every example below was produced on PixelDojo. Hover to see the prompt.

Example: Place this exact woman on a bicycle crossing a rainy city crosswalk at dusk, neo

Place this exact woman on a bicycle crossing a rainy city crosswalk at dusk, neon shop signs reflecting in puddles, cinematic wide shot, keep her face, glasses, red curly hair, denim jacket and yellow shirt identical

Flux 2 Pro

Example: Place this exact woman on a bicycle crossing a rainy city crosswalk at dusk, neo

Place this exact woman on a bicycle crossing a rainy city crosswalk at dusk, neon shop signs reflecting in puddles, cinematic wide shot, keep her face, glasses, red curly hair, denim jacket and yellow shirt identical

Google Nano Banana Pro

Same reference photo, same edit instruction, same day. Flux 2 Pro: 1.5 credits, about 32 seconds. Nano Banana Pro: 3 credits, about 38 seconds.

How It Works

How we ran the comparison:

1

Start from the same reference photo

One character sheet, generated earlier with a character-consistency tool, fed as the only reference to both models.

2

Send the same scene-placement instruction

One prompt naming every identity detail to preserve: face, glasses, hair color and texture, jacket, and shirt, plus the new scene.

3

Download both results and compare

We pulled both finished files, checked identity match against the reference, and read the signage in the background of each.

Try both on your own reference photo

The Pixel Dojo Advantage

OthersPixel Dojo
PriceFlux 2 Pro is 1.5 credits at its 1 megapixel default, 1 credit at 0.5 megapixels, 2 credits at 2 or 4 megapixels. Nano Banana Pro is a flat 3 credits at 1K or 2K, 6 credits at 4K. Flux 2 Pro is half the price at their default tiers.
What we measuredFlux 2 Pro finished in about 32 seconds. Nano Banana Pro finished in about 38 seconds. Close enough that price is the bigger factor for most jobs.
Reference image limitFlux 2 Pro accepts up to 8 reference image URLs on its Pro tier. Nano Banana Pro accepts up to 14. Both took just the one character sheet in our test.
What we saw: Flux 2 ProA square 1008x1008 shot, subject centered on the bicycle facing the camera, rain streaks and wet pavement rendered with real texture. The neon shop signs behind her fell to soft, illegible color blocks. Face, glasses, red curly hair, denim jacket, and yellow shirt all matched the reference.
What we saw: Nano Banana ProA square 1024x1024 shot pulled back to show a full street: taxis with light-trail motion blur, pedestrians under umbrellas, a dusk sky, and three separate shop signs rendered as clean, readable text ('JAZZ BAR', 'CAFE', 'BOOKS'). Same identity match on the subject.

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Common Questions

Everything you need to know about Flux 2 Pro vs Google Nano Banana Pro

Which is cheaper, Flux 2 Pro or Nano Banana Pro?

Flux 2 Pro, at 1.5 credits against Nano Banana Pro's 3 credits at their default tiers. Flux 2 Pro drops to 1 credit at 0.5 megapixels if a smaller output works.

Which one is faster?

Flux 2 Pro, at about 32 seconds against Nano Banana Pro's about 38 seconds in our August 26, 2026 run. The gap is small.

Which one writes legible text into a scene?

Nano Banana Pro. In our test it rendered three separate shop signs as clean, readable words. Flux 2 Pro's background signage came back as soft, illegible color blocks.

Did both keep the subject's identity intact?

Yes. Face, glasses, hair color and texture, jacket, and shirt matched our reference character sheet in both outputs.

How many reference images can each one take?

Flux 2 Pro accepts up to 8 reference images on its Pro tier. Nano Banana Pro accepts up to 14.

How do I call these from the API?

Same key, same shape: POST to /api/v1/models/flux-2-pro/run with a prompt and input_images pointing at your source image, or /api/v1/models/nano-banana-pro/run with a prompt and reference_images.

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