CLIPSegDetectorProvider
ImpactPack/Util
CLIPSegDetectorProviderProvides a detection function using CLIPSeg, which generates masks based on text prompts. To use this node, the CLIPSeg custom node must be installed.
Example
JSON Example
{
"class_type": "CLIPSegDetectorProvider",
"inputs": {
"text": "example text",
"blur": 7,
"threshold": 0.4,
"dilation_factor": 4
}
}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 |
|---|---|---|---|---|
text? | STRING | required | - | - |
blur? | FLOAT | required | min: 0, max: 15, step: 0.1 | 7 |
threshold? | FLOAT | required | min: 0, max: 1, step: 0.05 | 0.4 |
dilation_factor? | INT | required | min: 0, max: 10, step: 1 | 4 |
Outputs
| Index | Name | Type | Is List | Connection Reference |
|---|---|---|---|---|
0 | BBOX_DETECTOR | BBOX_DETECTOR | 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 CLIPSegDetectorProvider node in your workflow, and output_index is the index from the table above.
Example
If this node has ID "5" in your workflow:
BBOX_DETECTOR (BBOX_DETECTOR):["5", 0]
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