What to look for
Quality varies, but the diffusion fingerprints persist across most Stable Diffusion variants: anatomical glitches in hands, teeth and overlapping limbs; background incoherence and warped fine detail; fabric and pattern drift across the image; and 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 verif·ai detect SDXL and custom models?
- verif·ai 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.
Published June 7, 2026 · Last updated June 16, 2026