ControlNet is a neural network model designed to control Stable Diffusion models. It adds an extra layer of conditioning to the text prompt, which is the most basic form of using SDXL models.

ControlNet, and subsequent similar developments are going to change the landscape, offering a degree of maturity for the technology that has been hugely needed. Users are combining ControlNet with ...

Flux ControlNet relies on specific models to deliver its advanced capabilities. To ensure seamless integration, follow these steps: Download models like Kenny, Depth, and Hed from the GitHub page.

ControlNet introduces additional guidance that can take the form of extracted information from a source image, including pose detection, depth mapping, normal mapping, edge detection, and much more.

'ControlNet' is a technology that supports output by adding contour lines, depth, image area division (segmentation) information, etc. to pre-trained models such as Stable Diffusion. By using this ...