Stable Diffusion 3 vs SDXL Turbo
Comprehensive comparison of two leading open-source AI models
Stable Diffusion 3
ProviderStability AI
Parameters8B
KYI Score9.3/10
LicenseStability AI Community License
SDXL Turbo
ProviderStability AI
Parameters2.6B
KYI Score8.3/10
LicenseStability AI License
Side-by-Side Comparison
| Feature | Stable Diffusion 3 | SDXL Turbo |
|---|---|---|
| Provider | Stability AI | Stability AI |
| Parameters | 8B | 2.6B |
| KYI Score | 9.3/10 | 8.3/10 |
| Speed | 6/10 | 10/10 |
| Quality | 10/10 | 7/10 |
| Cost Efficiency | 8/10 | 10/10 |
| License | Stability AI Community License | Stability AI License |
| Context Length | N/A | N/A |
| Pricing | free | free |
Performance Comparison
SpeedHigher is better
Stable Diffusion 36/10
SDXL Turbo10/10
QualityHigher is better
Stable Diffusion 310/10
SDXL Turbo7/10
Cost EffectivenessHigher is better
Stable Diffusion 38/10
SDXL Turbo10/10
Stable Diffusion 3 Strengths
- ✓State-of-the-art quality
- ✓Better text
- ✓Improved composition
- ✓Latest architecture
Stable Diffusion 3 Limitations
- ✗Requires more compute
- ✗Newer with less community support
- ✗Restrictive license
SDXL Turbo Strengths
- ✓Extremely fast
- ✓Real-time capable
- ✓Low latency
- ✓Efficient
SDXL Turbo Limitations
- ✗Lower quality than SDXL
- ✗Restrictive license
- ✗Less control
Best Use Cases
Stable Diffusion 3
Professional artMarketingProduct visualizationCreative projects
SDXL Turbo
Real-time applicationsInteractive toolsFast prototyping
Which Should You Choose?
Choose Stable Diffusion 3 if you need state-of-the-art quality and prioritize better text.
Choose SDXL Turbo if you need extremely fast and prioritize real-time capable.