Open model checks
Stable Diffusion AI Image Detector
Stable Diffusion files often leave no signed proof. Slop or Not looks for prompt or model metadata first, then visual diffusion traces, so you can check open-model images without handing uploads to a third-party AI service.
What it checks
Check Open-Model Images Where Pixel Evidence Matters
Generation hints in EXIF, PNG text chunks, or app metadata
Texture and anatomy artifacts common in diffusion outputs
Visual classifier output when the file has no provenance
Good Uses
- Checking marketplace or portfolio images
- Screening assets before accepting them from freelancers
- Reviewing images from open model communities
Limits to Know
- Many Stable Diffusion workflows strip or never write metadata
- High-quality LoRA or fine-tuned outputs may be harder to flag
- Human edits after generation can blur the signal
FAQ
Stable Diffusion AI Image Detector Questions
Does Stable Diffusion always add metadata?
No. Some Stable Diffusion tools write prompt, model, or sampler details into image metadata, while many exports strip that data. Slop or Not checks both metadata and the pixels.
Can it identify the exact checkpoint?
No. The detector is built for authenticity checks, not exact checkpoint attribution. It reports AI likelihood and visible evidence rather than naming every model variant.
Is this useful for Midjourney too?
Use the general AI image detector for unknown generators, including Midjourney. Use Stable Diffusion detection when an open-model workflow is the likely source.
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