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DualCFGGuider

sampling/custom_sampling/guiders
DualCFGGuider

Example

JSON Example
{
  "class_type": "DualCFGGuider",
  "inputs": {
    "model": [
      "node_id",
      0
    ],
    "cond1": [
      "node_id",
      0
    ],
    "cond2": [
      "node_id",
      0
    ],
    "negative": [
      "node_id",
      0
    ],
    "cfg_conds": 8,
    "cfg_cond2_negative": 8,
    "style": null
  }
}

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

Inputs

NameTypeStatusConstraintsDefault
modelMODELrequired--
cond1CONDITIONINGrequired--
cond2CONDITIONINGrequired--
negativeCONDITIONINGrequired--
cfg_condsFLOATrequiredmin: 0, max: 100, step: 0.18
cfg_cond2_negativeFLOATrequiredmin: 0, max: 100, step: 0.18
styleCOMBOrequired--

Outputs

IndexNameTypeIs ListConnection Reference
0GUIDERGUIDERNo["{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 DualCFGGuider node in your workflow, and output_index is the index from the table above.

Example

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

  • GUIDER (GUIDER): ["5", 0]
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