TextEncodeHunyuanVideo_ImageToVideo - ComfyUI Built-in Node Documentation

The TextEncodeHunyuanVideoImageToVideo node creates conditioning data for image-to-video generation by combining a text prompt with visual information from a reference image.

The TextEncodeHunyuanVideo_ImageToVideo node creates conditioning data for image-to-video generation by combining a text prompt with visual information from a reference image. It uses a CLIP model to process both the text and the image embeddings from a CLIP vision output, then generates tokens that blend these two sources according to the image_interleave setting.

Inputs

Parameter	Description	Data Type	Required	Range
clip	The CLIP model used for tokenization and encoding.	CLIP	Yes	-
clip_vision_output	The visual embeddings from a CLIP vision model that provide image context for the reference image.	CLIP_VISION_OUTPUT	Yes	-
prompt	The text description to guide the video generation. Supports multiline input and dynamic prompts. The prompt is formatted using a template that asks the model to describe the video based on the reference image, covering aspects like main content, object details, actions, background, and camera angles.	STRING	Yes	-
image_interleave	How much the image influences things vs the text prompt. Higher number means more influence from the text prompt. (default: 2)	INT	Yes	1-512

Outputs

Output Name	Description	Data Type
CONDITIONING	The conditioning data that combines text and image information for video generation.	CONDITIONING

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