How to enhance images in Krea without losing the original

To enhance an image in Krea, upload or select it in Enhancer, choose a model and scale, adjust the available settings, and click Enhance. Keep an untouched source file before you begin, then compare the result against it before approving anything. The Enhancer guide↗ (opens in a new tab) explains that the tool creates a higher-resolution interpretation; it cannot reveal details that were hidden in the original. Tools like fenbs keep your accepted settings, source links, and review findings available for the next session.

Where do you start an image enhancement?

Open Enhancer using the Open link in Krea’s guide. Upload an image or select an existing one, then choose the model at the bottom left before adjusting settings. The model determines the controls you see. Choose 1x, 2x, 4x, or 8x according to the output you need, rather than automatically choosing the largest multiplier.

1. Put a copy of the untouched source in a folder you control. Give it a name that clearly identifies it as the original.
2. Write the intended use: a website image, a presentation, a print test, or another specific output.
3. Upload or select the image in Enhancer and choose the model at bottom left.
4. Choose the scale and begin with conservative settings. Add a prompt only if it helps describe the intended result.
5. Click Enhance, then use the comparison slider to inspect the result against the source.

The folder and naming steps are an editing practice, not a Krea backup command. Keep the original independent of whatever you generate. If a later revision looks worse, you can start from the same source instead of trying to undo an unclear chain of AI changes.

Which settings should you compare first?

Krea Enhance exposes Strength, Resemblance, Clarity, Sharpness, and Match color. Other models have different controls. Strength changes the amount of invented detail, while Resemblance affects how closely the output follows the source. Do not assume a setting name or value transfers unchanged when you choose another model.

Begin with the smallest change that could solve the actual problem. If the image already has enough pixels but appears soft, compare a restrained 1x attempt before testing a larger version. If you need more dimensions, test the required scale while keeping the creative changes modest. Change one setting at a time so you can explain which change helped.

A reviewer should be able to say why the chosen version is better. “The product edge is clearer and the label remains correct” is useful. “It looks more detailed” is not enough if that detail changes the product. For a wider design review process, see AI for graphic designers.

Why can a sharper image be less accurate?

An enhancement can be visually convincing while adding information the source never contained. Krea warns that strong detail settings can invent texture and that blurry text is not reliably reconstructed. Treat a newly readable sign, number, or label as something to verify against a trustworthy source, not as recovered evidence.

Create a short list of details that must survive: a logo, a person’s recognizable features, the shape of an object, the color of a surface, or a line of text. Check those areas at close range. Then look at the whole image at the size your audience will see. A texture that looks impressive when enlarged can be distracting in the final layout.

• Compare straight edges and outlines for unexpected changes in shape.
• Read visible text against the original or an approved reference.
• Check faces and smooth surfaces for extra texture.
• Check repeated details such as buttons, tiles, or fabric patterns for inconsistencies.
• Reject a version that fails a required detail even if another area looks sharper.

Use the same checklist for every candidate. The broader design review guide helps turn subjective feedback into clear checks. Save the failures as well as the accepted result in fenbs, so the next assistant knows which attractive changes were deliberately rejected.

How do you keep variants from becoming a confusing chain?

Krea saves finished enhancements in Assets and shows separate thumbnails for multiple attempts. That helps comparison inside the tool. Keep a separate written record of which input produced each candidate, especially if you enhance an already enlarged version. A 1x pass on that image still processes the enlarged input.

Start each comparison from the original unless you are deliberately testing a second pass. Repeated enhancement compounds AI interpretation. Name a second-pass experiment clearly, and compare it with the original as well as the previous version. Otherwise an attractive result can slowly drift away from the details you wanted to preserve.

Remember that the multiplier applies to width and height. A 2x result contains four times as many pixels; a 4x result contains sixteen times as many. Larger dimensions alone do not prove that the content is more faithful. Model access and compute usage also matter, so check Krea’s current plan details↗ (opens in a new tab) for your account rather than assuming every output is available.

What should you save with the approved image?

Keep a source link, model name, scale, relevant settings, optional prompt, candidate name, and review outcome together. Add the intended use and any restriction on reuse. This is a manual review record, not a promise that the same inputs will produce an identical future image.

For example, a hypothetical furniture catalog test might say: “Use candidate B for the presentation; the fabric looks clearer and the silhouette passed review. The printed label was not verified. Start again from the untouched source before a print run.” That tells another person what they can use and what still needs work.

For exploratory input changes, use the Krea Realtime guide. Keep that work separate from approval of this still image. The designer workflow guide covers the surrounding work.

How to keep enhancement findings with fenbs

Keep the approved result and the reason for choosing it so you never lose the work. You can carry on from exactly where you left off, on any device and in another connected AI, without asking someone to remember which thumbnail passed review.

1. Create a free account.
2. Save the link to the untouched image and write what the finished image needs to do.
3. Add the chosen model, settings, prompt, and link to the accepted version.
4. Write what you checked, what still needs checking, and the next step.
5. Ask your next connected AI to read those findings before planning another enhancement.

fenbs does not enhance images or replace your original files. A single casual experiment may need only a clearly named folder. fenbs helps when a later person or assistant needs to understand the accepted version and continue the review.