Performance Optimization
Optimize ALICE for speed and efficiency
GPU Optimization
Memory Management
- Enable
auto_unload to free GPU memory when idle
- Adjust
cache_size based on VRAM capacity
- Use FP16 precision for faster generation
Batch Processing
Generate multiple images simultaneously for efficiency. Configure max concurrent generations in settings.
Model Selection
- Fastest: SD Turbo models (1-4 steps)
- Balanced: SD 1.5 models (20-30 steps)
- Quality: SDXL models (30-50 steps)
Resolution Guidelines
- Match resolution to model native size
- Higher resolution = more VRAM + slower
- Use lower resolution for testing
Hardware Recommendations
- Minimum: 8GB VRAM (SD 1.5)
- Recommended: 12GB+ VRAM (SDXL)
- Optimal: 24GB+ VRAM (multiple models cached)
Next Steps