VAE Decode Batched 🎥🅥🅗🅢

Video Helper Suite 🎥🅥🅗🅢/batched nodes

VHS_VAEDecodeBatched

VAE Decode Batched 🎥🅥🅗🅢<div style="font-size: 0.8em"><div id=VHS_shortdesc>Decode latents to images with a manually specified batch size</div></div><div style="font-size: 0.8em">Some people have ran into VRAM issues when encoding or decoding large batches of images. As a workaround, this node lets you manually set a batch size when decoding latents.</div><div style="font-size: 0.8em">Unless these issues have been encountered, it is simpler to use the native VAE Decode or to decode from a Video Combine directly</div><div style="font-size: 0.8em"><div vhs_title="Inputs" style="display: flex; font-size: 0.8em" class="VHS_collapse"><div style="color: #AAA; height: 1.5em;">[<span style="font-family: monospace">-</span>]</div><div style="width: 100%">Inputs: <div vhs_title="samples" style="display: flex; font-size: 1em" class="VHS_collapse"><div style="color: #AAA; height: 1.5em;">[<span style="font-family: monospace">-</span>]</div><div style="width: 100%">samples: The latents to be decoded.</div></div><div vhs_title="vae" style="display: flex; font-size: 1em" class="VHS_collapse"><div style="color: #AAA; height: 1.5em;">[<span style="font-family: monospace">-</span>]</div><div style="width: 100%">vae: The VAE to use when decoding.</div></div></div></div><div vhs_title="Outputs" style="display: flex; font-size: 0.8em" class="VHS_collapse"><div style="color: #AAA; height: 1.5em;">[<span style="font-family: monospace">-</span>]</div><div style="width: 100%">Outputs: <div vhs_title="IMAGE" style="display: flex; font-size: 1em" class="VHS_collapse"><div style="color: #AAA; height: 1.5em;">[<span style="font-family: monospace">-</span>]</div><div style="width: 100%">IMAGE: The decoded images.</div></div></div></div><div vhs_title="Widgets" style="display: flex; font-size: 0.8em" class="VHS_collapse"><div style="color: #AAA; height: 1.5em;">[<span style="font-family: monospace">-</span>]</div><div style="width: 100%">Widgets: <div vhs_title="per_batch" style="display: flex; font-size: 1em" class="VHS_collapse"><div style="color: #AAA; height: 1.5em;">[<span style="font-family: monospace">-</span>]</div><div style="width: 100%">per_batch: The maximum number of images to decode in each batch.</div></div></div></div></div>

Example

JSON Example

{
  "class_type": "VHS_VAEDecodeBatched",
  "inputs": {
    "samples": [
      "node_id",
      0
    ],
    "vae": [
      "node_id",
      0
    ],
    "per_batch": 16
  }
}

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

Inputs

Name	Type	Status	Constraints	Default
samples	LATENT	required	-	-
vae	VAE	required	-	-
per_batch	INT	required	min: 1	16

Outputs

Index	Name	Type	Is List	Connection Reference
0	IMAGE	IMAGE	No	["{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 VHS_VAEDecodeBatched node in your workflow, and output_index is the index from the table above.

Example

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

• IMAGE (IMAGE): ["5", 0]

Package: comfyui-videohelpersuite