Documentation Index
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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 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 | 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 |
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