Image generation is the process of creating visual content using algorithms and computer programs. This technology can produce images from scratch or modify existing ones based on specific inputs, such as text descriptions or other images. It often employs techniques from artificial intelligence, particularly deep learning, to understand and replicate visual patterns. One popular method of image generation is through generative adversarial networks (GANs), which consist of two neural networks that work against each other to improve image quality. Another approach is diffusion models, which gradually refine random noise into coherent images. These advancements have numerous applications in art, design, and entertainment.