Conditioning (Combine)
Less than 1 minute
The Conditioning (Combine) node can be used to combine multiple conditionings by averaging the predicted noise of the diffusion model. Note that this is different from the Conditioning (Average) node. Here outputs of the diffusion model conditioned on different conditionings (i.e. all parts that make up the conditioning) are averaged out, while the Conditioning (Average) node interpolates the text embeddings that are stored inside the conditioning.
Tips
Even though Conditioning Combine does not have a factor input to determine how to interpolate the two resulting noise predictions, the [Conditioning (Set Area)](ConditioningSetArea.md) node can be used to weight the individual conditionings before combining them.
inputs
conditioning_1
The First conditioning.
conditioning_2
The second conditioning.
outputs
CONDITIONING
A new conditioning containing both inputs, later to be averaged by the sampler.
example
example usage text with workflow image