Use source images to guide your AI generation

ControlNet is a neural network that works alongside image generation models that lets you guide AI outputs using reference images. Instead of generating pictures from just a text prompt, ControlNet allows you to use structural data—like edges, depth, or pose—from a source image to influence the result.

This means you can retain the layout, shapes, or perspective of your original image, while freely changing its style or subject. It gives you more precision and control, especially useful for creative tasks like design, concept art, or even product mockups.

Traditional AI image generation can be unpredictable—it might ignore key parts of your prompt or give you wildly different results each time. ControlNet adds structure to the process by “anchoring” the generation to visual cues like lines, outlines, or depth from an uploaded image.

This makes it easier to replicate results, keep important details intact, or match a specific visual style. Whether you want to preserve the composition of a sketch or mimic the depth of a photo, ControlNet helps the AI stay on track.