Extracts a skeleton from the control image to replicate a specific human posture or pose.
In modern technology, control images serve two primary purposes: directing AI art generation and managing user interfaces in software. 1. Generative AI (ControlNet & Stable Diffusion) Control image
In AI image generation, a control image acts as a template for the final output. Tools like ControlNet allow users to use specific maps as control images to dictate different aspects of the generation: Extracts a skeleton from the control image to
Transforms rough hand-drawn sketches into detailed, finished images. 2. Software Development & UI Design Control image
Uses distance information from the reference to maintain 3D composition.
Uses an edge-detection map of the control image to keep the outline of a subject consistent.