This node is designed to generate a sampler for the DPMPP_2M_SDE model, allowing for the creation of samples based on specified solver types, noise levels, and computational device preferences. It abstracts the complexities of sampler configuration, providing a streamlined interface for generating samples with customized settings.

## Inputs

| Parameter | Description | Data Type |
| --- | --- | --- |
| `solver_type` | Specifies the solver type to be used in the sampling process, offering options between 'midpoint' and 'heun'. This choice influences the numerical integration method applied during sampling. | COMBO[STRING] |
| `eta` | Determines the step size in the numerical integration, affecting the granularity of the sampling process. A higher value indicates a larger step size. | `FLOAT` |
| `s_noise` | Controls the level of noise introduced during the sampling process, influencing the variability of the generated samples. | `FLOAT` |
| `noise_device` | Indicates the computational device ('gpu' or 'cpu') on which the noise generation process is executed, affecting performance and efficiency. | COMBO[STRING] |

## Outputs

| Parameter | Description | Data Type |
| --- | --- | --- |
| `sampler` | The output is a sampler configured according to the specified parameters, ready for generating samples. | `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/SamplerDpmpp2mSde/en.md)