Inputs
| Parameter | Data Type | Description |
|---|---|---|
model | MODEL | The ‘model’ input type specifies the model to be used for sampling, playing a crucial role in determining the sampling behavior and output. |
add_noise | BOOLEAN | The ‘add_noise’ input type allows users to specify whether noise should be added to the sampling process, influencing the diversity and characteristics of the generated samples. |
noise_seed | INT | The ‘noise_seed’ input type provides a seed for the noise generation, ensuring reproducibility and consistency in the sampling process when adding noise. |
cfg | FLOAT | The ‘cfg’ input type sets the configuration for the sampling process, allowing for fine-tuning of the sampling parameters and behavior. |
positive | CONDITIONING | The ‘positive’ input type represents positive conditioning information, guiding the sampling process towards generating samples that align with specified positive attributes. |
negative | CONDITIONING | The ‘negative’ input type represents negative conditioning information, steering the sampling process away from generating samples that exhibit specified negative attributes. |
sampler | SAMPLER | The ‘sampler’ input type selects the specific sampling strategy to be employed, directly impacting the nature and quality of the generated samples. |
sigmas | SIGMAS | The ‘sigmas’ input type defines the noise levels to be used in the sampling process, affecting the exploration of the sample space and the diversity of the output. |
latent_image | LATENT | The ‘latent_image’ input type provides an initial latent image for the sampling process, serving as a starting point for sample generation. |
Outputs
| Parameter | Data Type | Description |
|---|---|---|
output | LATENT | The ‘output’ represents the primary result of the sampling process, containing the generated samples. |
denoised_output | LATENT | The ‘denoised_output’ represents the samples after a denoising process has been applied, potentially enhancing the clarity and quality of the generated samples. |