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ControlNET and Stable Diffusion: A Game Changer for AI Image Generation
New technology brings unprecedented levels of control to Stable Diffusion
ControlNet is revolutionary. With a new paper submitted last week, the boundaries of AI image and video creation have been pushed even further: It is now possible to use sketches, outlines, depth maps, or human poses to control diffusion models in ways that have not been possible before. Here’s how this is changing the game and bringing us closer to unlimited control of AI imagery and fully customized design:
Finally: In Control!
The revolutionary thing about ControlNET is its solution to the problem of spatial consistency. Whereas previously there was simply no efficient way to tell an AI model which parts of an input image to keep, ControlNet changes this by introducing a method to enable Stable Diffusion models to use additional input conditions that tell the model exactly what to do! Reddit user IWearSkin with an apt summary:
