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1.6 KiB
1.6 KiB
WanSoundImageToVideo
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 WanSoundImageToVideo node generates video content from images with optional audio conditioning. It takes positive and negative conditioning prompts along with a VAE model to create video latents, and can incorporate reference images, audio encoding, control videos, and motion references to guide the video generation process.
Inputs
| Parameter | Type | Default | Description |
|---|---|---|---|
| positive | Conditioning | — | |
| negative | Conditioning | — | |
| vae | Vae | — | |
| width | Int | 832 | |
| height | Int | 480 | |
| length | Int | 77 | |
| batch_size | Int | 1 | |
| audio_encoder_output | AudioEncoderOutput | — | |
| ref_image | Image | — | |
| control_video | Image | — | |
| ref_motion | Image | — |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
positive |
CONDITIONING | Processed positive conditioning that has been modified for video generation |
negative |
CONDITIONING | Processed negative conditioning that has been modified for video generation |
latent |
LATENT | Generated video representation in latent space that can be decoded into final video frames |
Source: comfy_extras/nodes_wan.py
Used in 1 template(s)