Scribble Diffusion is an open-source application that transforms rough sketches and simple drawings into refined, detailed images using artificial intelligence. The tool accepts hand-drawn sketches combined with text prompts to generate high-quality visual outputs.

The application is powered by ControlNet, an open-source machine learning model that generates images from text descriptions and scribbles. ControlNet is a neural network structure designed for controlling large diffusion models with additional input conditions, enabling precise image generation based on user sketches.

Scribble Diffusion runs on cloud infrastructure provided by Replicate, which handles the machine learning model execution. The web application is built using Next.js for both the frontend React components and server-side API routes that communicate with the Replicate API. The interface is styled with Tailwind CSS, providing a clean and responsive user experience.

As an open-source project, the complete codebase is available on GitHub, allowing developers to contribute improvements, fork the project, or deploy their own instances. The tool is designed to be accessible for both beginners and professionals, requiring no specialized software installation to use the web-based version.