Stable Diffusion

Stable Diffusion is a deep learning–based generative model used to create high-quality images from text prompts. Unlike earlier image-generation models that required massive computing resources, Stable Diffusion is designed to be efficient and scalable, making it accessible for researchers and creators on standard hardware. The model compresses image data into a latent space, performs denoising steps to transform random noise into coherent images, and then decodes the output into a high-resolution image. It supports use cases like concept art, design mockups, visual storytelling, and more. Stable Diffusion is known for its open-source availability, allowing developers to fine-tune the model for specific domains, enforce content moderation, and integrate it into creative workflows.