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The Dual CFG Guider node creates a guidance system for sampling that uses two conditioning inputs together with one negative conditioning input. It applies two separate guidance scales to control how strongly each conditioning influences the generated result, and it supports two ways of combining those scales: “regular” and “nested”.

Inputs

Note: In regular style, cfg_cond2_negative is applied between cond2 and negative, and cfg_conds is applied between cond1 and cond2. In nested style, cfg_conds is applied first between cond1 and cond2, and the resulting prediction is then guided away from negative using cfg_cond2_negative. Note: In regular style, when cfg_cond2_negative is equal to 1.0 the negative conditioning is skipped, and when cfg_conds is also equal to 1.0 the second conditioning is skipped as well. This reduces the number of model evaluations performed.

Outputs

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