ControlNet Scribble
Input
Prompt
Steps
Scheduler
Seed
Input Image
Output
ControlNet Scribble
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.
Weights
These weights were trained on stable diffusion 1.5.
Features
- User Sketching: ControlNet Scribble help Controlling Stable Diffusion with Human scribbles and transform raw sketches into stunning images
Applications
ControlNet Scribble can be utilized in various applications, such as:
- Art generation
- Scene creation
- Animation and game development
- Character creation
- Product design
Getting Started
For more detailed instructions, refer to the API documentation and resources available on Github.
Github
https://github.com/lllyasviel/ControlNet