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1.6 KiB
1.6 KiB
HunyuanVideo15SuperResolution
Display Name: positive
Description
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub
The HunyuanVideo15SuperResolution node prepares conditioning data for a video super-resolution process. It takes a latent representation of a video and, optionally, a starting image, and packages them along with noise augmentation and CLIP vision data into a format that can be used by a model to generate a higher-resolution output.
Inputs
| Parameter | Type | Default | Description |
|---|---|---|---|
| positive | Conditioning | — | |
| negative | Conditioning | — | |
| vae | Vae | — | |
| start_image | Image | — | |
| clip_vision_output | ClipVisionOutput | — | |
| latent | Latent | — | |
| noise_augmentation | Float | 0.70 |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
positive |
CONDITIONING | The modified positive conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data. |
negative |
CONDITIONING | The modified negative conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data. |
latent |
LATENT | The input latent is passed through unchanged. |
Source: comfy_extras/nodes_hunyuan.py
Used in 2 template(s)