A multi-input ControlNet model. Pass in control images and set the weights.
This model costs approximately $0.19 to run on Replicate, or 5 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 15 minutes. The predict time for this model varies significantly based on the inputs.
This is basically an expanded version of the HuggingFace - Running ControlNet with multiple conditions.
Check out the Model Cards.
Currently all path inputs are required. I suggest you pass a black image into the conditioning inputs you’re not using and set the scales to 0.
