Stable Diffusion
image detector

Stable Diffusion is the world's most widely used image generator because it is free, runs locally without an internet connection, and is highly customizable through fine-tuning, LoRA, and extensions like ControlNet.

Its open-source nature means anyone can generate images without leaving a trace: there is no centralized API, no content moderation, and no mandatory watermark. This makes it the preferred tool for generating deepfake content and disinformation at scale.

According to CivitAI (the largest model repository in the SD ecosystem), there are more than 150,000 derivative models of Stable Diffusion publicly available — each producing images detectable by ScanTrace's forensic engine.

1. Pixel-level spectral analysis. Stable Diffusion leaves highly characteristic artifacts in the frequency domain. High-frequency DCT coefficients show a "grid" pattern that is virtually impossible to produce with a real camera sensor. This signature is especially pronounced in SD 1.5 and XL.

2. Edge artifacts. The latent diffusion denoising process produces edges with a particular smoothing where transitions between objects and backgrounds are more gradual than real optics allow. ScanTrace quantifies this anomaly and weights it in the verdict.

3. EXIF inspection. Locally generated SD images lack camera EXIF. Some interfaces (A1111, ComfyUI) insert prompt and generation parameter metadata — ScanTrace reads these when present.

4. Contextual reasoning. An LLM interprets numeric data from the previous layers and generates a human-readable explanation of the verdict.

SD 1.5: the most widespread version. Produces visible artifacts (distorted hands, incoherent backgrounds) but fine-tuned models like Realistic Vision minimize these visual issues. The spectral signature remains strong. Detection: 97%.

Stable Diffusion XL (SDXL): native 1024x1024 resolution, better visual quality. Edge artifacts are less pronounced but the DCT signature persists. Detection: 97%.

Stable Diffusion 3 (SD3): uses a DiT (Diffusion Transformer) architecture that slightly changes the spectral fingerprint. Better quality, fewer visible artifacts, but frequency patterns remain distinct from real cameras. Detection: 94%.

LoRA / fine-tuned models: inherit the base model's signature. All 150,000+ derivative models on CivitAI are detectable with the same forensic infrastructure.

Stable Diffusion dominates AI image generation for three reasons: it is free (no subscription or API needed), runs locally (no external server logs), and is infinitely customizable (fine-tuning, LoRA, inpainting, ControlNet, IP-Adapter).

This has created a massive generation ecosystem that includes: CivitAI (model repository with over 10 million users), ComfyUI (node-based visual workflow), Automatic1111 (the most popular web interface), and Forge (optimized A1111 fork). Any image generated with any of these tools retains the Stable Diffusion forensic signature and is detectable by ScanTrace.

Suspect Stable Diffusion when an image: circulates without verifiable authorship, shows high visual quality with subtle edge and texture anomalies, has a resolution of 512x512 (SD 1.5) or 1024x1024 (XL/SD3), lacks EXIF metadata, or displays a very consistent artistic style (LoRA models produce recognizable consistent styles).

ScanTrace verifies the image in under 15 seconds — compatible with any editorial or verification deadline.

Is Stable Diffusion easier to detect than Midjourney or Flux?

Yes. Stable Diffusion — especially SD 1.5 and XL — produces more pronounced edge artifacts and more distinctive noise patterns. ScanTrace achieves a 97% detection rate on Stable Diffusion XL, the highest across all models tested.

Does it work on fine-tuned or LoRA models?

Yes. Fine-tuned models and LoRA adapters inherit the base Stable Diffusion architecture and maintain the fundamental spectral signature. Models like Realistic Vision, DreamShaper or Juggernaut are detectable with the same accuracy as the base model.

Are Stable Diffusion images with ControlNet detectable?

Yes. ControlNet guides composition (pose, edges, depth) but does not remove the diffusion signature of the underlying generator. Images generated with ControlNet retain the DCT patterns of Stable Diffusion.

Can you detect images from ComfyUI or Automatic1111?

Yes. ComfyUI and Automatic1111 are user interfaces for Stable Diffusion. The resulting image carries the same forensic signature regardless of which interface was used to generate it.

Is Stable Diffusion 3 harder to detect?

SD3 improves visual quality compared to XL but maintains detectable spectral signatures. ScanTrace's detection rate for SD3 is 94%, slightly lower than the 97% for XL but higher than Flux or Midjourney v7.