WanVideoNAG
KJNodes/experimentalExperimental
WanVideoNAGhttps://github.com/ChenDarYen/Normalized-Attention-Guidance
Experimental: This node is experimental and its behavior may change without notice.
Example
JSON Example
{
"class_type": "WanVideoNAG",
"inputs": {
"model": [
"node_id",
0
],
"conditioning": [
"node_id",
0
],
"nag_scale": 11,
"nag_alpha": 0.25,
"nag_tau": 2.5
}
}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 |
|---|---|---|---|---|
model | MODEL | required | - | - |
conditioning | CONDITIONING | required | - | - |
nag_scale? | FLOAT | required | min: 0, max: 100, step: 0.001 | 11 |
nag_alpha? | FLOAT | required | min: 0, max: 1, step: 0.001 | 0.25 |
nag_tau? | FLOAT | required | min: 0, max: 10, step: 0.001 | 2.5 |
input_type? | ENUM2 options
| optional | - | - |
Outputs
| Index | Name | Type | Is List | Connection Reference |
|---|---|---|---|---|
0 | model | MODEL | 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 WanVideoNAG node in your workflow, and output_index is the index from the table above.
Example
If this node has ID "5" in your workflow:
model (MODEL):["5", 0]
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