Inputs
| Parameter | Description | Data Type | Python dtype |
|---|---|---|---|
model | The model to which the discrete sampling strategy will be applied. This parameter is crucial as it defines the base model that will undergo modification. | MODEL | torch.nn.Module |
sampling | Specifies the discrete sampling method to be applied to the model. The choice of method affects how the model generates samples, offering different strategies for sampling. | COMBO[STRING] | str |
zsnr | A boolean flag that, when enabled, adjusts the model’s noise reduction strategy based on the zero-shot noise ratio. This can influence the quality and characteristics of the generated samples. | BOOLEAN | bool |
Outputs
| Parameter | Description | Data Type | Python dtype |
|---|---|---|---|
model | The modified model with the applied discrete sampling strategy. This model is now equipped to generate samples using the specified method and adjustments. | MODEL | torch.nn.Module |
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