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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 ima

imaginAIry is a system for generating and refining images and videos using diffusion models. It operates as a web-based server that triggers generation requests through standard API calls, allowing for the creation of visuals and video sequences from text prompts or existing files. The project provides a suite for AI image editing and upscaling, enabling the modification of visuals through natural language instructions and super-resolution tools to increase detail and image size. The system includes capabilities for structural image control using depth maps, edge maps, and body poses to main