The SamplerEulerAncestralCFGPP node creates a sampler that uses the Euler Ancestral method with classifier-free guidance (CFG++) for image generation. This sampler combines ancestral sampling techniques with guidance conditioning to produce diverse image variations while maintaining coherence, and allows fine-tuning through parameters that control noise and step size adjustments.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `eta` | Controls the step size during sampling, with higher values resulting in more aggressive updates (default: 1.0) | FLOAT | Yes | 0.0 - 1.0 |
| `s_noise` | Adjusts the amount of noise added during the sampling process (default: 1.0) | FLOAT | Yes | 0.0 - 10.0 |

## Outputs

| Output Name | Description | Data Type |
| --- | --- | --- |
| `sampler` | Returns a configured sampler object that can be used in the image generation pipeline | SAMPLER |

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