What are samplers and which should I use?
Samplers are algorithms that determine how the AI builds your image during generation. Different samplers produce different results and speeds.
Recommended samplers:
| Sampler | Speed | Quality | Best For |
|---|---|---|---|
| DPM++ 2M Karras | Fast | Excellent | General use |
| Euler a | Fast | Good | Creative variety |
| DPM++ SDE Karras | Medium | Excellent | Detailed images |
| DDIM | Fast | Good | Consistent results |
| UniPC | Very Fast | Good | Speed priority |
Quick recommendations:
- Default choice: DPM++ 2M Karras (20-30 steps)
- Need speed: UniPC or Euler (15-20 steps)
- Maximum quality: DPM++ SDE Karras (25-40 steps)
- Consistent outputs: DDIM (30-50 steps)
What affects your choice:
- Available time (some samplers are 2-3x slower)
- Whether you need reproducibility
- Style of image you’re generating
- Personal preference (test and compare)
Steps and samplers: Some samplers converge faster than others. DPM++ 2M Karras often looks great at 20 steps; DDIM may need 40+.
Start with DPM++ 2M Karras at 25 steps—it’s the most reliable default for most workflows.