ComfyUI-ConditioningMultiplyAdvanced

Adds a Conditioning Multiply Advanced node for scheduling conditioning strength while preserving non-floating tensors such as token ids.

The default mode scales:

• the main conditioning tensor
• pooled_output
• t5xxl_weights

It preserves integer tensors such as Anima t5xxl_ids, avoiding embedding dtype failures caused by generic recursive conditioning multiply nodes.

Settings

• start_multiplier: multiplier at start_percent.
• end_multiplier: multiplier at end_percent.
• start_percent / end_percent: denoise-progress window for the transition.
• curve: interpolation curve from start_multiplier to end_multiplier.
• outside_window: behavior outside the transition window.
  • hold: before the window uses start_multiplier; after the window uses end_multiplier.
  • baseline: outside the window uses 1.0.
  • linear_extrapolate: continues the linear multiplier trend outside the window.
• segments: number of conditioning ranges used to approximate the curve. Higher values are smoother but add more conditioning entries.
• tensor_scope: selects which float tensors are multiplied.
• non_float_behavior: preserve leaves integer/bool tensors unchanged; error raises if one is encountered.
• metadata_keys: comma-separated metadata tensor keys to scale when metadata scaling is enabled.
• log_summary: prints tensor counts for debugging.