Thank you for sharing the great work!
I would like to ask how the weight of the transformer of ControlNet can be initialized from the Stable Diffusion 3.5 model for training?
Particularly, when I check ControlNet for Canny and Depth, the transformer uses SD3SingleTransformerBlock, while SD3.5's transformer uses JointTransformerBlock.
Is it correct that ControlNet's transformer just copies the query, key, value, output projection weights, and the FFN from the SD3.5 transformer?
I am looking forward to receiving your answer.
Much appreciate!