workflow-templates-broken-zap-2026-06-08/site/knowledge/nodes/custom/Wan22ImageToVideoLatent.md

Wan22ImageToVideoLatent

Category: conditioning/inpaint

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 Wan22ImageToVideoLatent node creates video latent representations from images. It generates a blank video latent space with specified dimensions and can optionally encode a starting image sequence into the beginning frames. When a start image is provided, it encodes the image into the latent space and creates a corresponding noise mask for the inpainted regions.

Inputs

Parameter	Type	Default	Description
vae	Vae	—
width	Int	1280
height	Int	704
length	Int	49
batch_size	Int	1
start_image	Image	—

Outputs

Output	Type
),
],
)

@classmethod
def execute(cls, vae, width, height, length, batch_size, start_image=None) -> io.NodeOutput:
    latent = torch.zeros([1, 48, ((length - 1) // 4) + 1, height // 16, width // 16], device=comfy.model_management.intermediate_device() | Latent |

Source: comfy_extras/nodes_wan.py

Used in 1 template(s)