What is Seed Control?

How it works

Every AI generation starts with a random number seed that initializes the noise pattern. By saving and reusing a specific seed, you can reproduce the same generation result, make controlled variations by changing only the prompt while keeping the seed fixed, and create consistent batches where only specific parameters change. Seed control is essential for production workflows where you need to iterate on a specific result. Without a fixed seed, every generation is unique and you cannot refine a promising result. Most professional tools expose seed control through their API. Some web interfaces also display and allow you to set the seed.