HunyuanVideo15SuperResolution - ComfyUI Built-in Node Documentation

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	Description	Data Type	Required	Range
`positive`	The positive conditioning input to be modified with latent and augmentation data.	CONDITIONING	Yes	N/A
`negative`	The negative conditioning input to be modified with latent and augmentation data.	CONDITIONING	Yes	N/A
`vae`	The VAE used to encode the optional `start_image`. Required if `start_image` is provided.	VAE	No	N/A
`start_image`	An optional starting image to guide the super-resolution. If provided, it will be upscaled and encoded into the conditioning latent.	IMAGE	No	N/A
`clip_vision_output`	Optional CLIP vision embeddings to add to the conditioning.	CLIP_VISION_OUTPUT	No	N/A
`latent`	The input latent video representation that will be incorporated into the conditioning.	LATENT	Yes	N/A
`noise_augmentation`	The strength of noise augmentation to apply to the conditioning (default: 0.70).	FLOAT	No	0.0 - 1.0

Note: If you provide a start_image, you must also connect a vae for it to be encoded. The start_image will be automatically upscaled to match the dimensions implied by the input latent.

Outputs

Output Name	Description	Data Type
`positive`	The modified positive conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data.	CONDITIONING
`negative`	The modified negative conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data.	CONDITIONING
`latent`	The input latent is passed through unchanged.	LATENT

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

Source fingerprint (SHA-256): 12bb48e731a265f806e5961950b3fc9c64e30148785e443a40c8d9f3ad9484e4

HunyuanVideo15ImageToVideo - ComfyUI Built-in Node Documentation

Kandinsky5ImageToVideo - ComfyUI Built-in Node Documentation

⌘I

​Inputs

​Outputs

Inputs

Outputs