MediaPipe Face Mesh
ControlNet Preprocessors/Faces and Poses Estimators
MediaPipe-FaceMeshPreprocessorExample
JSON Example
{
"class_type": "MediaPipe-FaceMeshPreprocessor",
"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 | - | - |
max_faces | INT | optional | min: 1, max: 50, step: 1 | 10 |
min_confidence | FLOAT | optional | min: 0.1, max: 1, step: 0.01 | 0.5 |
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 MediaPipe-FaceMeshPreprocessor 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]
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