This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe ModelSamplingAuraFlow node applies a specialized sampling configuration to diffusion models, specifically designed for AuraFlow model architectures. It modifies the model’s sampling behavior by applying a shift parameter that adjusts the sampling distribution. This node inherits from the SD3 model sampling framework and provides fine control over the sampling process.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
model | MODEL | Yes | - | The diffusion model to apply the AuraFlow sampling configuration to |
shift | FLOAT | Yes | 0.0 - 100.0 | The shift value to apply to the sampling distribution (default: 1.73) |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
model | MODEL | The modified model with AuraFlow sampling configuration applied |