ControlNet-v1-1

ControlNet-v1-1 is a neural network architecture that adds conditional control to text-to-image diffusion models like Stable Diffusion. It enables precise control over image generation using various input conditions such as edge maps, depth maps, poses, and segmentation masks. The model allows users to guide AI image generation while maintaining the quality of the base diffusion model.