The SamplerSASolver node implements a custom sampling algorithm for diffusion models. It uses a predictor-corrector approach with configurable order settings and stochastic differential equation (SDE) parameters to generate samples from the input model.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `model` | The diffusion model to use for sampling | MODEL | Yes | - |
| `eta` | Controls the step size scaling factor (default: 1.0) | FLOAT | No | 0.0 - 10.0 |
| `sde_start_percent` | The starting percentage for SDE sampling (default: 0.2) | FLOAT | No | 0.0 - 1.0 |
| `sde_end_percent` | The ending percentage for SDE sampling (default: 0.8) | FLOAT | No | 0.0 - 1.0 |
| `s_noise` | Controls the amount of noise added during sampling (default: 1.0) | FLOAT | No | 0.0 - 100.0 |
| `predictor_order` | The order of the predictor component in the solver (default: 3) | INT | No | 1 - 6 |
| `corrector_order` | The order of the corrector component in the solver (default: 4) | INT | No | 0 - 6 |
| `use_pece` | Enables or disables the PECE (Predict-Evaluate-Correct-Evaluate) method | BOOLEAN | No | - |
| `simple_order_2` | Enables or disables simplified second-order calculations | BOOLEAN | No | - |

## Outputs

| Output Name | Description | Data Type |
| --- | --- | --- |
| `sampler` | A configured sampler object that can be used with diffusion models | SAMPLER |

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSASolver/en.md)

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