Example Concept: ControlNet is a neural network architecture that enhances image generation models like Stable Diffusion by incorporating external conditions, such as human poses or depth maps, to guide the generation process. Pose control specifically refers to using skeletal or pose data to dictate the positioning and orientation of subjects within the generated image, allowing for more precise and intentional compositions.