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Stable Diffusion 3.5 Large — AI Detection Benchmark

Stable Diffusion 3.5 Large is the latest open-source diffusion model from Stability AI with improved composition and text rendering.

Avg Detection Rate
7
Detectors Tested
1
Undetected

Best & Worst Detectors for Stable Diffusion 3.5 Large

Watermarks Used by Stable Diffusion 3.5 Large

Services Using Stable Diffusion 3.5 Large

Benchmark Methodology

Stable Diffusion 3.5 Large images were tested across 7 AI detectors using a curated dataset of AI-generated and real photographs. The model uses 1 watermark type (Stable Signature).

Each detector classifies images as AI-generated or real. We measure the detection rate — the percentage of Stable Diffusion 3.5 Large images correctly identified as AI-generated. Higher rates mean the detector catches Stable Diffusion 3.5 Large content more reliably.

See full benchmark methodology

What is Stable Diffusion 3.5 Large?

Stable Diffusion 3.5 Large is Stability AI's most advanced open-source text-to-image model, released in late 2024. It represents a major leap forward in image generation quality, prompt adherence, and versatility. As part of the SD 3.5 family, the Large variant offers the highest quality outputs with 8 billion parameters.

Unlike closed-source competitors, Stable Diffusion 3.5 Large can be run locally, fine-tuned, and integrated into custom workflows, making it a favorite among developers, researchers, and creative professionals.

Key Features of SD 3.5 Large

Multimodal Diffusion Transformer (MMDiT)

SD 3.5 uses a new architecture that processes text and image information together, resulting in:

  • Superior prompt following
  • Better understanding of complex scenes
  • Improved spatial relationships
  • More accurate text rendering in images

Technical Specifications

  • Parameters: 8 billion
  • Resolution: Up to 1024x1024 native, higher with upscaling
  • Architecture: MMDiT with Flow Matching
  • Text Encoders: CLIP + T5-XXL
  • License: Stability AI Community License

Quality Improvements

  • Photorealistic human generation
  • Accurate hands and anatomy
  • Better lighting and shadows
  • Consistent style application
  • Reduced artifacts and distortions

SD 3.5 Large Watermarking

Stability AI implements the Stable Signature watermarking system in their API-generated images:

Stable Signature

  • Invisible watermark embedded during generation
  • Survives compression, cropping, and color adjustments
  • Detectable by specialized algorithms
  • Open-source detection tools available

Local Generation

When running SD 3.5 Large locally, watermarks are NOT automatically applied. This is a key difference from API-based generation. Local users have full control over their outputs.

Metadata Markers

API-generated images may include:

  • EXIF data indicating AI generation
  • C2PA content credentials (optional)
  • Model version identifiers

Detecting SD 3.5 Large Images

AI detection for Stable Diffusion 3.5 Large works through multiple methods:

Statistical Analysis

  • Diffusion model artifacts in frequency domain
  • Characteristic noise patterns
  • Latent space signatures

Trained Classifiers

  • Neural networks trained on SD 3.5 outputs
  • Cross-model detection systems
  • Ensemble methods for higher accuracy

Detection Accuracy

Detection rates vary significantly:

  • API images with watermark: 85-95% detection
  • Local generation: 60-75% detection
  • Fine-tuned models: 50-70% detection
  • Heavily processed: 40-60% detection

Removing SD 3.5 Detection Markers

Several approaches can reduce or eliminate detection:

For Watermarked Images

  1. Spectral filtering - Target Stable Signature patterns
  2. Image-to-image regeneration - Use another model to recreate
  3. Neural reconstruction - AI-based watermark removal

For Statistical Detection

  1. Add controlled noise - Disrupt frequency patterns
  2. Multi-step processing - Combine several techniques
  3. Format manipulation - Strategic encoding changes

Best Results

Combining multiple approaches typically yields the best results, reducing detection rates from 80%+ to under 30% while maintaining image quality.

SD 3.5 Large vs Other Models

FeatureSD 3.5 LargeSD 3.5 MediumSDXLMidjourney v6
Parameters8B2.5B6.6BUnknown
Open SourceYesYesYesNo
Local RunningYesYesYesNo
Text in ImagesExcellentGoodFairPoor
PhotorealismExcellentGoodGoodExcellent
SpeedSlowFastMediumMedium
VRAM Required24GB+8GB+12GB+N/A

Use Cases for SD 3.5 Large

Professional

  • Commercial illustration and design
  • Marketing and advertising content
  • Product visualization
  • Concept art and storyboarding

Research & Development

  • AI art experimentation
  • Model fine-tuning and training
  • Watermark and detection research
  • Computer vision datasets

Creative

  • Digital art creation
  • Photography enhancement
  • Style exploration
  • Personal projects

Our Detection & Removal Service

Our platform offers specialized tools for Stable Diffusion 3.5 Large content:

Detection

Upload any image to check for SD 3.5 signatures, including Stable Signature watermarks, statistical patterns, and metadata markers. Our multi-layer analysis provides comprehensive results.

Removal

Our advanced processing effectively removes both watermarks and statistical detection markers from SD 3.5 Large images. The system preserves image quality while eliminating identifiable signatures.

Whether you're verifying content authenticity or need clean outputs for professional use, our tools deliver reliable results for Stable Diffusion 3.5 Large images.

Frequently Asked Questions

Test Stable Diffusion 3.5 Large Images in the Arena

Upload a Stable Diffusion 3.5 Large image and see how detectors perform in real time.