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Layers

AI image-to-image tools, layer by layer.

It is tempting to think of an AI transform as one button. It is closer to a stack: a source, a region, a thing being held constant, a quantity of change, and a description of the result. Naming which layer went wrong is most of the skill.

Layerstransform.psd · RGB/8
ResultNormal100%
Style passOverlay62%
MaskMultiply80%
SourceNormal100%

Reading the stack

Bottom to top, what each layer decides

The lower the layer, the more expensive it is to change your mind about - which is the opposite of the order most people set them in.

Source - what you started from

Resolution, aspect ratio and compression all limit everything above. A small or heavily compressed source constrains the result no matter what the rest of the stack does, and no later layer recovers it.

Mask - where the change is allowed

A whole-image transform and a masked one are different operations with different risk. Masking is the difference between “change the sky” and “change the picture, and hopefully mostly the sky”.

Constraint - what must survive

Edges, depth or pose can be held while everything else is redrawn. Without a constraint, composition is only preserved by accident and proportionally to how little you changed.

Strength - how much change

The dial that trades fidelity for freedom. It is blunt: it gives up everything at once, which is why the constraint layer beneath it exists.

Prompt - what you asked for

The top layer, and the one people reach for first when a result disappoints. If strength is low the prompt has almost no room to act, so rewriting it changes nothing and the real problem is two layers down.

Masks and denoising strength each have an entry in the Image-to-Image AI Terms to Know glossary. Image-to-Image AIs, Explained covers how strength sets the amount of change, and How to Transform an Image with AI works through the structure and style strength sliders.

The thing to fix first

When a transform comes back wrong, the instinct is to rewrite the prompt. It is usually the least effective change available. Work from the bottom: was the source good enough, was the region defined, was anything holding the structure, and only then was the description right. Most disappointing results are a missing mask or a missing constraint wearing the costume of a prompt problem.

Covered in detail in Image-to-Image AI Terms to Know: A Glossary, How to Transform an Image with AI (Quick Guide) and Image-to-Image AIs, Explained: What They Are and How They Work.

Non-destructive

What the layer metaphor gets right, and where it breaks

Right: they are separable

Each decision can be changed independently, and thinking about them one at a time is how you debug a result rather than reroll it.

Wrong: it is not reversible

An editor's layers can be turned off. A generated transform is baked the moment it renders - there is no stack to go back to unless you kept the source and the settings.

So: keep the settings

Seed, strength and prompt are the only record of how a result happened. Tools that discard them make a good output unrepeatable, which matters the first time a client asks for a small change.

Covered in detail in Midjourney Review: Features, Pricing, and the Verdict, Your Image-to-Image AI Questions, Answered and Image-to-Image AI Terms to Know: A Glossary.

House rules

How this site is written

No invented numbers

No scores out of ten, no star ratings, no tier boards. Where something is better, it gets said in words and the reason is shown.

Only claims we can stand behind

Nothing describes a test that did not happen. Pricing and feature claims are checked against the vendor's own pages.

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Nothing here is sponsored, and outbound links carry no affiliate tracking and earn no commission. No company pays to be included or to be written about more kindly.

Covered in detail in Midjourney Review: Features, Pricing, and the Verdict.

About the panel

The layers panel above is an illustration of the metaphor. Its blend modes and percentages are furniture, not settings from a real transform. The real controls, structure strength and style strength among them, are set step by step in How to Transform an Image with AI.