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LTXVImgToVideo
Category: conditioning/video_models
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 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 | Type | Default | Description |
|---|---|---|---|
| positive | Conditioning | — | |
| negative | Conditioning | — | |
| vae | Vae | — | |
| image | Image | — | |
| width | Int | 768 | |
| height | Int | 512 | |
| length | Int | 97 | |
| batch_size | Int | 1 | |
| strength | Float | 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 |
Source: comfy_extras/nodes_lt.py
Used in 1 template(s)