Nodes/Parametric Studio/PSN Generalized Guidance
ComfyUI Node

PSN Generalized Guidance

Applies Power Law CFG and CFG++ methods for alternative guidance approaches. Pure-logic implementation operating on plain Python lists of floats. In ComfyUI, this would patch a MODEL; here it computes the guided noise vector.

By parametricparadigm·Created 4 days ago·Updated about 3 hours ago· 1
PSN Generalized Guidance
    • success
    • result_json
    • reason
    ◄cond0.000►
    ◄uncond0.000►
    ◄method▾►
    ◄power1.00►
    ◄cfg_scale7.5►
    ◄cond_vector[]►
    ◄uncond_vector[]►
    CategoryParametric/Sampling

    Inputs (7)

    NameTypeDefaultDescription
    condFLOAT0.000-1000000000–1000000000Cond. From -1e+09 to 1e+09. Default 0.0.
    uncondFLOAT0.000-1000000000–1000000000Uncond. From -1e+09 to 1e+09. Default 0.0.
    methodCOMBOMethod. One of 3 choices.
    powerFLOAT1.000–10Power. From 0 to 10. Default 1.0.
    cfg_scaleFLOAT7.50–100Cfg scale. From 0 to 100. Default 7.5.
    cond_vectoroptSTRING[]Cond vector. Default [].
    uncond_vectoroptSTRING[]Uncond vector. Default [].

    Outputs (3)

    NameTypeDescription
    successBOOLEAN—
    result_jsonSTRING—
    reasonSTRING—