Seed
A seed is a number that sets the starting random noise for AI generation, so the same seed and prompt produce the same image.
June 16, 2026
A seed is the starting number that sets the initial random noise an AI model uses to generate an image, which makes results repeatable.
How it works
Diffusion models begin every image from a field of random noise. That noise is not truly random to the computer — it is generated from a seed number. Give the model the same seed, the same prompt, and the same settings, and it starts from the exact same noise and arrives at the exact same image. Change only the seed, and the model starts from different noise, producing a new variation while keeping the prompt's intent.
Seeds are usually large integers. Many tools assign a random seed by default so each generation looks fresh, but you can lock a seed to reproduce a result or to explore controlled changes — for instance, keeping the composition steady while you adjust a single word in the prompt.
Why it matters
The seed turns AI generation from a slot machine into a tool you can steer. Without seed control, every run is a roll of the dice. With it, you can reproduce a favorite image exactly, compare how a prompt edit changes the same starting point, or generate a batch where only the seed varies to browse many options of the same idea. It is also how creators share results others can recreate.
In eaxy
eaxy lets the creative flow stay simple — most people generate with fresh randomness and pick their favorite. When you want consistency, reusing a result as your starting point keeps the look stable while you refine the prompt, then carry that image into motion with Kling 3.
Related terms
Frequently asked questions
What is a seed in AI image generation?+
It is the number that decides the initial random noise the model starts from. The same seed with the same prompt and settings recreates the same image.
Why would I fix the seed?+
To get reproducible results. If you like an image and want to tweak just the prompt while keeping the overall composition, reusing the seed keeps things consistent.
What happens if I change the seed?+
You get a different variation. Each new seed starts from different noise, so the model produces a fresh image even with the same prompt.
Is a random seed bad?+
Not at all. A random seed every time gives you fresh variety. You only fix a seed when you specifically want to reproduce or fine-tune a particular result.
Make it with eaxy
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