Z-Image Base — AI Detection Benchmark
Z-Image Base by Tongyi-MAI (Alibaba) offers robust generative diversity, broad stylistic coverage, and precise prompt adherence.
Best & Worst Detectors for Z-Image Base
Highest Detection Rate
Lowest Detection Rate
Benchmark Methodology
Z-Image Base images were tested across 6 AI detectors using a curated dataset of AI-generated and real photographs.
Each detector classifies images as AI-generated or real. We measure the detection rate — the percentage of Z-Image Base images correctly identified as AI-generated. Higher rates mean the detector catches Z-Image Base content more reliably.
See full benchmark methodologyWhat is Z-Image?
Z-Image Base is a text-to-image generation model developed by Tongyi-MAI (a division of Alibaba). It's engineered for good quality, robust generative diversity, broad stylistic coverage, and precise prompt adherence. With 6 billion parameters, Z-Image offers a balance of quality and speed.
Key Features of Z-Image
Generative Diversity
- Broad range of artistic styles
- Consistent quality across genres
- Good variety in outputs
- Reliable prompt following
Technical Specifications
- Parameters: 6 billion
- Architecture: Diffusion-based
- Resolution: Up to 1024x1024
- Speed: Fast with turbo variant available
- LoRA: Supports custom fine-tuning
- Access: API via fal.ai
Variants
- Z-Image Base: Standard quality model
- Z-Image Turbo: Speed-optimized variant
- Both support LoRA fine-tuning
Z-Image Watermarking
Current State
- Alibaba/Tongyi-MAI proprietary markers
- Embedded during generation
- Chinese regulatory compliance
- Standard invisible watermarking
Detecting Z-Image Outputs
Detection Methods
| Method | Accuracy | Notes |
|---|---|---|
| Watermark detection | 65-80% | Alibaba signatures |
| Statistical analysis | 60-75% | Diffusion patterns |
| Style analysis | 50-65% | Z-Image characteristics |
Distinctive Characteristics
- 6B parameter model signatures
- Specific noise distribution
- Characteristic diversity patterns
Z-Image vs Competitors
| Feature | Z-Image Base | Qwen 2512 | Flux Schnell | SD 3.5 Large |
|---|---|---|---|---|
| Parameters | 6B | Unknown | 12B | 8B |
| Speed | Fast | Fast | Very Fast | Slow |
| Diversity | Excellent | Good | Good | Excellent |
| Text Rendering | Good | Excellent | Good | Good |
| Open Source | No | No | Apache 2.0 | Open |
Our Detection & Removal Service
Detection
Our platform analyzes Z-Image outputs for:
- Tongyi-MAI generation signatures
- Statistical diffusion patterns
- Watermark markers
- Architecture-specific artifacts
Removal
Our processing handles Z-Image content:
- Watermark neutralization
- Pattern disruption
- Metadata cleaning
- Quality preservation
Frequently Asked Questions
Test Z-Image Base Images in the Arena
Upload a Z-Image Base image and see how detectors perform in real time.