This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe SamplerEulerAncestralCFGPP node creates a specialized sampler for generating images using the Euler Ancestral method with classifier-free guidance. This sampler combines ancestral sampling techniques with guidance conditioning to produce diverse image variations while maintaining coherence. It allows fine-tuning of the sampling process through parameters that control noise and step size adjustments.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
eta | FLOAT | Yes | 0.0 - 1.0 | Controls the step size during sampling, with higher values resulting in more aggressive updates (default: 1.0) |
s_noise | FLOAT | Yes | 0.0 - 10.0 | Adjusts the amount of noise added during the sampling process (default: 1.0) |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
sampler | SAMPLER | Returns a configured sampler object that can be used in the image generation pipeline |