LTXVImgToVideo - ComfyUI Built-in Node Documentation

Complete documentation for the LTXVImgToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage.

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

The LTXVImgToVideo node converts an input image into a video latent representation for video generation models. It takes a single image and extends it into a sequence of frames using the VAE encoder, then applies conditioning with strength control to determine how much of the original image content is preserved versus modified during video generation.

Inputs

Parameter	Data Type	Required	Range	Description
positive	CONDITIONING	Yes	-	Positive conditioning prompts for guiding the video generation
negative	CONDITIONING	Yes	-	Negative conditioning prompts for avoiding certain elements in the video
vae	VAE	Yes	-	VAE model used for encoding the input image into latent space
image	IMAGE	Yes	-	Input image to be converted into video frames
width	INT	No	64 to MAX_RESOLUTION	Output video width in pixels (default: 768, step: 32)
height	INT	No	64 to MAX_RESOLUTION	Output video height in pixels (default: 512, step: 32)
length	INT	No	9 to MAX_RESOLUTION	Number of frames in the generated video (default: 97, step: 8)
batch_size	INT	No	1 to 4096	Number of videos to generate simultaneously (default: 1)
strength	FLOAT	No	0.0 to 1.0	Control over how much the original image is modified during video generation, where 1.0 preserves most of the original content and 0.0 allows maximum modification (default: 1.0)

Outputs

Output Name	Data Type	Description
positive	CONDITIONING	Processed positive conditioning with video frame masking applied
negative	CONDITIONING	Processed negative conditioning with video frame masking applied
latent	LATENT	Video latent representation containing the encoded frames and noise mask for video generation