uality to a regular ControlNet, but it is 20-25% faster (see benchmark with StableDiffusion-XL) and uses ~45% less memory. Here’s the overview from the project page: With increasing computing capabilities, current model architectures appear to follow the trend of simply upscaling all components without validating the necessity for doing so. In this project we investigate the size and architectural design of ControlNet [Zhang et al., 2023] for c