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TCFG (Tangential Damping CFG) refines the unconditional (negative) predictions to better align with the conditional (positive) predictions during the sampling process. This technique improves output quality by applying tangential damping to the unconditional guidance, based on the research paper 2503.18137. The node modifies the model’s sampling behavior by adjusting how unconditional predictions are processed during classifier-free guidance.

Inputs

ParameterDescriptionData TypeRequiredRange
modelThe model to apply tangential damping CFG toMODELYes-

Outputs

Output NameDescriptionData Type
patched_modelThe modified model with tangential damping CFG appliedMODEL
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