ControlNet is a neural network architechture that can be used to control pretrained large diffusion models to support additional input conditions. The purpose of ControlNet Depth is to enable conditional input of high resolution depth maps to control large diffusion models and facilitate related applications.
These weights were trained on stable diffusion 1.5.
ControlNet Depth can be utilized in various applications, such as:
For more detailed instructions, refer to the API documentation and resources available on Github.