Does ImageDetector.com Work Against Flux?

If your detector only works on “clearly AI” images, it’s not that helpful. I ran ImageDetector against Flux and wrote up what the results actually suggest, plus how to interpret them without over-trusting the tool.

John Angelo Yap

Updated March 1, 2026

Reading Time: 3 minutes

Flux images have a particular problem: they’re good. Too good.

Not in an “AI art is beautiful” way. In a “this could pass as a real product photo if you saw it once on your feed” way. I would even say that there's no AI image generator out there in 2026 that can generate images as real as Flux.

And in a way, that’s what makes Flux a useful stress test for AI image detectors.

This article answers one narrow question: Does ImageDetector.com reliably detect Flux-generated images? Not in theory. In the way teachers, editors, and creators actually use detectors — quick checks, messy inputs, and imperfect context.

What is ImageDetector.com?

ImageDetector.com is a browser-based AI image detector built for low friction.

ImageDetector Landing Page

You upload an image (or paste a link), and it returns a result quickly. There’s no account required, no dashboard learning curve, and no “platform” you need to commit to.

That matters because most people don’t want to adopt an image detection system. They want a fast signal they can use before making a bigger call.

In earlier testing across AI-generated images more broadly, ImageDetector performed strongly overall — but Flux is its own category of challenge.

What is Flux?

Flux (often written as FLUX.1 and FLUX.2) is a family of text-to-image models developed by Black Forest Labs (BFL), a company founded by former Stability AI researchers.

Flux first released in August 2024, and the latest series listed on Wikipedia is Flux.2, with a latest release date of November 25, 2025.

Flux Landing Page

What makes Flux relevant here is not just popularity. It’s the output style. Flux is known for generating images that can be highly realistic, clean, and commercially usable — the exact qualities that make synthetic images harder to detect at a glance.

Flux also exists in multiple variants with different licensing and distribution models (open-weight and API-based options), which means its outputs can show up in a wide range of tools and workflows.

ImageDetector.com vs. Flux: Accuracy Testing

Test #1

Verdict: ImageDetector.com detects Flux image as AI.
AI Likelihood Score: 97.5%

Test #2

Verdict: ImageDetector.com detects Flux image as AI.
AI Likelihood Score: 96.5%

Test #3

Verdict: ImageDetector.com detects Flux image as AI.
AI Likelihood Score: 97.3%

Test #4

Verdict: ImageDetector.com detects Flux image as AI.
AI Likelihood Score: 97.5%

Test #5

Verdict: ImageDetector.com detects Flux image as AI.
AI Likelihood Score: 97.5%

Test #6

Verdict: ImageDetector.com detects Flux image as AI.
AI Likelihood Score: 97.5%

Test #7

Verdict: ImageDetector.com detects Flux image as AI.
AI Likelihood Score: 97.4%

Average Score

Test Number

ImageDetector

#1

97.5%

#2

96.5%

#3

97.3%

#4

97.5%

#5

97.5%

#6

97.5%

#7

97.4%

Score

97.31%

The Bottom Line

Flux is a good benchmark because it doesn’t always look like “AI art.” A lot of outputs are clean, realistic, and easy to mistake for real images once they’ve been reposted or lightly edited.

Based on my testing, ImageDetector.com works against Flux, with an average accuracy score of 97.31%. That’s strong enough to treat it as a reliable screening tool, not just a novelty checker.

What makes it more practical is how accessible it is. It’s fast, low-friction, and easy to use in the moments when you actually need an answer, not a workflow.

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Written by John Angelo Yap

Hi, I'm Angelo. I'm currently an undergraduate student studying Software Engineering. Now, you might be wondering, what is a computer science student doing writing for Gold Penguin? I took up studying computer science because it was practical and because I was good at it. But, if I had the chance, I'd be writing for a career. Building worlds and adjectivizing nouns for no other reason other than they sound good. And that's why I'm here.

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