detector

Stable Diffusion image detector

last updated 7 june 2026

Stable Diffusion is open-source, so its output spans thousands of community fine-tunes (SDXL, SD3 and countless custom models) with wildly varying quality — from photorealistic to obviously synthetic. That variety makes visual tells less consistent, so a detector plus careful inspection is the reliable combination.

Because Stable Diffusion runs locally and can be fine-tuned by anyone, there's no single "Stable Diffusion look" and no central watermark you can count on. You'll see everything from polished SDXL renders to glitchy outputs from niche checkpoints — which is exactly why a single rule of thumb won't cover it.

verifai reads embedded content credentials — and locally-run Stable Diffusion generally adds none — so verifai flags SD images as "unverified" rather than guessing from pixels. The visual tells below are your reliable check today, with a metadata-independent hosted deep-scan planned.

What to look for

Quality varies, but the diffusion fingerprints persist across most Stable Diffusion variants:

  • anatomical glitches — hands, teeth, overlapping limbs
  • background incoherence and warped fine detail
  • fabric and pattern drift across the image
  • a plastic or over-sharpened texture on skin and surfaces

Why open-source is harder to detect

Custom fine-tunes can deliberately erase a generator's usual signatures, and local generation means no provenance metadata is added at all. There's no SynthID, no C2PA — nothing to read. In that environment, an automated detector and a human eye, used together, are your best signal.

frequently asked

Does Stable Diffusion add a watermark?

The reference pipeline includes an optional, easily-removed watermark, and most local or fine-tuned setups don't apply a durable one. In practice you can't rely on a watermark for Stable Diffusion images.

Can verifai detect SDXL and custom models?

verifai reads embedded content credentials, which locally-run SD, SDXL and community models generally don't add — so those images show as "unverified" rather than scored. A hosted, metadata-independent deep-scan is planned to cover them.

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