ControlNet
ControlNet is a neural network architecture designed to provide precise control over image generation when used with diffusion models like Stable Diffusion. It allows users to guide AI-generated visuals using edge maps, pose detection, depth maps, and other structural inputs — making it highly useful in game asset creation and visual consistency.
• Enables detailed control over composition and structure in AI-generated images
• Supports game development through style consistency, pose guidance, and asset adaptation
• Integrates with Stable Diffusion pipelines for both artistic and technical workflows
• Widely used in generating textures, characters, and environments with structural fidelity
• Open-source and customizable for a wide range of visual game design needs