Generation starts from random static. The seed is what makes that static repeatable: it is the number fed to the random-number generator, so seed 42 produces one particular field of noise and seed 43 produces a completely different one. Everything downstream is deterministic, which is why identical inputs and an identical seed give you the identical result.
That makes it the only honest way to A/B a prompt. Change a word with the seed floating and you have changed two things — the wording and the starting noise — so you cannot attribute the difference. Lock the seed and the wording is the only variable left.
Leaving it blank is usually the right default. Most tools then pick one at random per run, which is what you want while you are exploring; the moment a result is nearly right, capture that seed and start iterating from it.
In practice
- Same seed, same prompt, same model, same settings — same output. Change any one and the guarantee is void.
- Seeds do not transfer between models. Seed 42 on one model has nothing in common with seed 42 on another.
- Neighbouring seeds are not related: 41 and 42 are as different as 41 and 900,000.
The mistake to avoid
Assuming a good seed carries a good result across model versions. A provider update changes the mapping from noise to picture, and yesterday's seed is just a number again.
Where you will run into it
- Text to Image Generator — One prompt. Every image model. One studio.
- AI Video Generator — Text-to-video, image-to-video, and story-to-video in one place.
Related terms
Prompt
A prompt is the written instruction a generative model reads to decide what to make — the one input almost every model requires.
CFG scale
CFG scale controls how strictly a model obeys your prompt, trading obedience against the model's own sense of what a natural image looks like.
Sampling steps
Sampling steps is how many passes a model takes to turn its starting noise into a finished output — more passes, more refinement, more time.
Denoising strength
Denoising strength decides how much of your input picture gets thrown away before regeneration — low keeps it nearly intact, high keeps only the general shape.
Text-to-image
Text-to-image renders a still picture from a written description, with no picture going in.
The all-in-one AI studio for creators. 60+ models for video, image, voice, music and lipsync in a single app.