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-Scribble is to enable conditional input of raw outlines or scribbled drawings to control large diffusion models and facilitate related applications.
These weights were trained on stable diffusion 1.5.
ControlNet Scribble can be utilized in various applications, such as:
For more detailed instructions, refer to the API documentation and resources available on Github.