Generative AI turns text into images by following a recipe, just like you follow a recipe to make cookies.
Imagine you have a special kind of chef, generative AI, who loves making pictures. All they need is a note that says something like "a cat wearing sunglasses on a beach". The chef uses this note to imagine what the picture should look like.
How it works
First, the chef looks at many examples of images and their descriptions. This helps them learn the connection between words and pictures, like learning how flour and sugar make cookies.
Then, when given a new description, the chef uses all that knowledge to create an image from scratch, just like mixing ingredients in a bowl and baking them into a cookie.
It’s not magic, it's practice, imagination, and a little bit of smart math.
Examples
- A child asks, 'How does AI draw a cat from the word 'cat'?'
- 'Imagine telling a robot to paint a sunset just by saying 'sunset'.'
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See also
- How do current generative AI tools create realistic images?
- How do generative AI models create realistic images?
- How do generative AI models create new images and videos?
- How are new AI-generated images created from text prompts?
- How do AI and geopolitics influence social media content?