This project is an extension for Stable Diffusion that provides an image-to-image control framework. It serves as a multi-control constraint manager and structural data preprocessor, allowing users to guide the layout and composition of generated images through spatial maps and structural constraints.
The system enables multi-constraint image generation by combining several different control inputs to enforce multiple stylistic or spatial rules within a single generation pass. It provides tools for visual image referencing and precise geometric or anatomical templating to ensure generated images follow a specific visual reference.
The framework covers automated image preprocessing to extract control maps, as well as tuning for guidance strength, timing, and weight balancing between text prompts and spatial references. It also includes capabilities for high-resolution image upscaling to maintain structural consistency.
Programmatic access is provided via API integration for managing control units, executing preprocessors, and triggering generation requests.
