DensePose Estimator

ControlNet Preprocessors/Faces and Poses Estimators

DensePosePreprocessor

Example

JSON Example

{
  "class_type": "DensePosePreprocessor",
  "inputs": {
    "image": [
      "node_id",
      0
    ]
  }
}

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
image	IMAGE	required	-	-
model	ENUM 2 options densepose_r50_fpn_dl.torchscript densepose_r101_fpn_dl.torchscript	optional	-	"densepose_r50_fpn_dl.torchscript"
cmap	ENUM 2 options Viridis (MagicAnimate) Parula (CivitAI)	optional	-	"Viridis (MagicAnimate)"
resolution	INT	optional	min: 64, max: 16384, step: 64	512

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 DensePosePreprocessor 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-controlnet-aux