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.
Best & Worst Detectors for Stable Diffusion 3.5 Large
Highest Detection Rate
Lowest Detection Rate
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 methodologyWhat 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
- Spectral filtering - Target Stable Signature patterns
- Image-to-image regeneration - Use another model to recreate
- Neural reconstruction - AI-based watermark removal
For Statistical Detection
- Add controlled noise - Disrupt frequency patterns
- Multi-step processing - Combine several techniques
- 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
| Feature | SD 3.5 Large | SD 3.5 Medium | SDXL | Midjourney v6 |
|---|---|---|---|---|
| Parameters | 8B | 2.5B | 6.6B | Unknown |
| Open Source | Yes | Yes | Yes | No |
| Local Running | Yes | Yes | Yes | No |
| Text in Images | Excellent | Good | Fair | Poor |
| Photorealism | Excellent | Good | Good | Excellent |
| Speed | Slow | Fast | Medium | Medium |
| VRAM Required | 24GB+ | 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.
