Inputs
| Parameter | Description | Data Type | Required | Range |
|---|---|---|---|---|
model | The Hunyuan Video 1.5 latent upscale model used to refine the upscaled samples. | LATENT_UPSCALE_MODEL | Yes | N/A |
samples | The latent image representation to be upscaled. | LATENT | Yes | N/A |
upscale_method | The interpolation algorithm used for the initial upscaling step (default: "bilinear"). | COMBO | No | "nearest-exact""bilinear""area""bicubic""bislerp" |
width | The target width for the upscaled latent, in pixels. A value of 0 will calculate the width automatically based on the target height and the original aspect ratio. The final output width will be a multiple of 16 (default: 1280). | INT | No | 0 to 16384 |
height | The target height for the upscaled latent, in pixels. A value of 0 will calculate the height automatically based on the target width and the original aspect ratio. The final output height will be a multiple of 16 (default: 720). | INT | No | 0 to 16384 |
crop | Determines how the upscaled latent is cropped to fit the target dimensions. | COMBO | No | "disabled""center" |
width and height are set to 0, the node returns the input samples unchanged. If only one dimension is set to 0, the other dimension is calculated to preserve the original aspect ratio. The final dimensions are always adjusted to be at least 64 pixels and are divisible by 16.
Outputs
| Output Name | Description | Data Type |
|---|---|---|
LATENT | The upscaled and model-refined latent image representation. | LATENT |
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