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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 SamplerDPMPP_2M_SDE node creates a DPM++ 2M SDE sampler for diffusion models. This sampler uses second-order differential equation solvers with stochastic differential equations to generate samples. It provides different solver types and noise handling options to control the sampling process.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
solver_type | STRING | Yes | "midpoint""heun" | The type of differential equation solver to use for the sampling process |
eta | FLOAT | Yes | 0.0 - 100.0 | Controls the stochasticity of the sampling process (default: 1.0) |
s_noise | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) |
noise_device | STRING | Yes | "gpu""cpu" | The device where noise calculations are performed. When set to “cpu”, the sampler uses CPU-based noise generation; when set to “gpu”, it uses GPU-based noise generation for potentially faster performance (default: “gpu”) |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
sampler | SAMPLER | A configured sampler object ready for use in the sampling pipeline |
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