The more detail you give, the more the picture looks like your idea? — Making pictures
Whatever you don't say, AI decides for you, so start by saying what you want to decide.
1 · Think first
An image AI doesn't go find a picture somewhere. It draws by clearing away noise, bit by bit, from a screen full of dots.
Your description is the dial that sets which way that clearing goes. So anything you don't pin down in words, AI decides on its own — the colors, the time of day, the mood.
But detailed isn't the same as greedy. Put in too many things at once, and some of them actually get left out. Fixing as you go is faster than cramming it all in at once.
2 · Experiment · Probability slider
Try it — How does the result change as your description gets more detailed?
Turn the dial to make the description more detailed. Imagine you got ten pictures back — this shows roughly how many of each kind you'd get.
Figure
Drawing by clearing away the noise
It doesn't start from a blank page — it starts from a screen full of dots.
3 · Quiz
Quick check
Three questions. Pick an answer and it's marked right away, with the reason why.
Today in one line
Today in one line
Whatever you don't say, AI decides for you,
so start by saying what you want to decide.
Learn more
- The announcement that first made text-to-image models widely known — DALL·E: Creating images from text (OpenAI, 2021)
- The paper that made the noise-clearing method lighter, so it could run even on a personal computer — High-Resolution Image Synthesis with Latent Diffusion Models (2021)
- The official post from the day that method's weights were released for anyone to download — Stable Diffusion Public Release (Stability AI, 2022)