Inputs
| Parameter | Description | Comfy dtype |
|---|---|---|
images | The input images to be upscaled. This parameter is crucial as it directly influences the quality and resolution of the output images. | IMAGE |
positive | Positive conditioning elements that guide the upscale process towards desired attributes or features in the output images. | CONDITIONING |
negative | Negative conditioning elements that the upscale process should avoid, helping to steer the output away from undesired attributes or features. | CONDITIONING |
scale_ratio | Determines the factor by which the image resolution is increased. A higher scale ratio results in a larger output image, allowing for greater detail and clarity. | FLOAT |
noise_augmentation | Controls the level of noise augmentation applied during the upscale process. This can be used to introduce variability and improve the robustness of the output images. | FLOAT |
Outputs
| Parameter | Description | Data Type |
|---|---|---|
positive | The refined positive conditioning elements resulting from the upscale process. | CONDITIONING |
negative | The refined negative conditioning elements resulting from the upscale process. | CONDITIONING |
latent | A latent representation generated during the upscale process, which can be utilized in further processing or model training. | LATENT |
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub