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Wan22ImageToVideoLatent

conditioning/inpaint
Wan22ImageToVideoLatent

Example

JSON Example
{
  "class_type": "Wan22ImageToVideoLatent",
  "inputs": {
    "vae": [
      "node_id",
      0
    ],
    "width": 1280,
    "height": 704,
    "length": 49,
    "batch_size": 1
  }
}

This example shows required inputs only. Connection values like ["node_id", 0] should reference actual node IDs from your workflow.

Inputs

NameTypeStatusConstraintsDefault
vaeVAErequired--
widthINTrequiredmin: 32, max: 16384, step: 321280
heightINTrequiredmin: 32, max: 16384, step: 32704
lengthINTrequiredmin: 1, max: 16384, step: 449
batch_sizeINTrequiredmin: 1, max: 40961
start_imageIMAGEoptional--

Outputs

IndexNameTypeIs ListConnection Reference
0LATENTLATENTNo["{node_id}", 0]
How to connect to these outputs

To connect another node's input to an output from this node, use the connection reference format:

["node_id", output_index]

Where node_id is the ID of this Wan22ImageToVideoLatent node in your workflow, and output_index is the index from the table above.

Example

If this node has ID "5" in your workflow:

  • LATENT (LATENT): ["5", 0]
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