Inputs
| Parameter | Description | Data Type |
|---|---|---|
model | The ‘model’ input type specifies the model to be used for sampling, playing a crucial role in determining the sampling behavior and output. | MODEL |
add_noise | 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. | BOOLEAN |
noise_seed | The ‘noise_seed’ input type provides a seed for the noise generation, ensuring reproducibility and consistency in the sampling process when adding noise. | INT |
cfg | The ‘cfg’ input type sets the configuration for the sampling process, allowing for fine-tuning of the sampling parameters and behavior. | FLOAT |
positive | The ‘positive’ input type represents positive conditioning information, guiding the sampling process towards generating samples that align with specified positive attributes. | CONDITIONING |
negative | The ‘negative’ input type represents negative conditioning information, steering the sampling process away from generating samples that exhibit specified negative attributes. | CONDITIONING |
sampler | The ‘sampler’ input type selects the specific sampling strategy to be employed, directly impacting the nature and quality of the generated samples. | SAMPLER |
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. | SIGMAS |
latent_image | The ‘latent_image’ input type provides an initial latent image for the sampling process, serving as a starting point for sample generation. | LATENT |
Outputs
| Parameter | Description | Data Type |
|---|---|---|
output | The ‘output’ represents the primary result of the sampling process, containing the generated samples. | LATENT |
denoised_output | The ‘denoised_output’ represents the samples after a denoising process has been applied, potentially enhancing the clarity and quality of the generated samples. | LATENT |
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub