Conditioning (Combine)

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.

Tip

Even though Conditioning Combine does not have a factor input to determine how to interpolate the two resulting noise predictions, the Conditioning (Set Area) 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