AI media generation often starts with a simple text prompt provided by the user. For example, a user might enter a description like "a futuristic cityscape at sunset with flying cars." The AI processes this text using natural language processing (NLP) algorithms to understand the meaning and context of the prompt.
Once the text is analyzed, the AI translates it into visual elements. This involves breaking down the description into components such as objects, settings, colors, and lighting conditions. The AI then generates an image or video that matches the prompt as closely as possible.
For image generation, tools like DALL·E, Midjourney, and Stable Diffusion use advanced models to create detailed visuals from text inputs. In video generation, platforms like Runway and Synthesia can produce dynamic video content, complete with animations, transitions, and even AI-generated characters.
