To restore a photo, you need to select an AI model
Zand in the last couple of years, neural networks have learned not only to generate images from scratch, but also to accurately work with existing photographs. Moreover, we are not talking about a banal increase in sharpness, but about a full-fledged restoration. A modern AI aggregator allows you to remove scratches, restore lost parts of a photo, restore natural detail, and even colorize an old black and white photo as if it was taken a few days ago. That is why more and more users prefer to work through model aggregator, where the necessary tools are already collected in one place and you don’t have to look for separate services for each task.
As an example, consider working through Syntx aggregator. The service contains dozens of modern models, and GPT Image is great for photo restoration. No need to figure out where to register, how to pay for different platforms, or switch between multiple sites. The entire process takes place in one interface, so the focus remains on the result, and not on technical details.
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DTo get started, open the “Design” section and select the GPT Image neural network. It is what is used to restore images and copes well with tasks where it is necessary not only to improve the quality, but to literally re-paint the damaged areas of the photo. This is an important difference from classic filters, which only work with existing pixels.
ZThen configure several settings. In the version field, select the second version of GPT Image - now it is the one that shows the most stable results when working with old images.
ZThen set the appropriate aspect ratio. If the photo is wide, you can choose the 16:9 format; if it’s portrait, focus on its original proportions.
PThe last and most important parameter is detail. For restoration, it is almost always worth setting the maximum value. The higher the detail, the more accurately the neural network analyzes small image elements and the more convincing the reconstructed fragments look.
MWe'll set the detail to medium and check how well this value works.
PAfter setting the parameters, all that remains is to upload the photo. This can be done by simply clicking on the image icon or simply by selecting a file on your computer. This is where the preparatory stage ends and the fun begins.
Testing AI for photos: removing damage, coloring the photo and changing the weather
MMany people imagine restoring old photos as one button with the inscription “Make it beautiful.” In practice, this approach does not work. It's better to work in stages. This is exactly how professional retouchers restore archival photographs, and modern photo AI works on the same principle. Instead of one complex task, the neural network receives several small ones, so each stage is performed noticeably better.
Possibility 1: Removing cracks, stains and missing parts
BLet's experiment with this photo - probably everyone has something similar in their old albums:
PFirst of all, upload the photo and send a GPT Image request:
“Restore an old photograph: remove cuts, scratches, dirt and restore missing fragments”
Nand at first glance the request seems very simple, but it is precisely this formulation that allows the model to focus exclusively on restoration. The neural network does not change the composition of the frame, does not rearrange faces, and does not try to add something of its own unnecessarily. She analyzes the damage, determines where the lines of clothing, hair or architecture used to be, and then carefully completes the missing parts of the image.
AndThis is where it becomes noticeable how far modern technology has advanced. If earlier AI photo processing was associated with primitive filters, now the model actually restores the history of the image. Old creases disappear, deep cracks become invisible, and stains that have covered people's faces or important details for years disappear almost completely. Of course, the result depends on the original quality of the photo, but even heavily damaged photographs often get a second life.
PAfter a few minutes of processing, you will receive an already cleaned photo. At this stage, you should not immediately move on to additional effects or color correction. It is better to carefully examine the result and make sure that all the main defects have really disappeared. This approach allows you to build a high-quality foundation for the next steps and avoid a situation where the color emphasizes damage that has not yet been corrected.
Possibility 2. Colorizing a photo: how to make a photo modern without losing its history
KWhen all the damage has been repaired, it is tempting to stop there. But it is the next stage that usually produces the most powerful effect. As long as the photograph remains in black and white, the brain automatically perceives it as an archival document. Once you add natural colors, the photo begins to look as if it was taken not half a century ago, but quite recently. This is one of the reasons why photos using AI are gaining popularity so quickly today: the neural network can work not only with image quality, but also with our perception.
TNow we upload the already restored photo and send a second request:
“Colorize an old black-and-white image to give it the look of a modern color photo that looks like it was taken on an iPhone. Keep all the details in their original form, work only with color. Remove the frame and dark background, showing the image in full screen"
PWhy is it important to use this particular wording? It's simple. If you just write “color the photo,” then the model can begin to change the lighting, rearrange individual objects, or add new elements. In this case, we risk getting a beautiful picture that no longer resembles the original. Here the request immediately sets the boundaries: change only the color, save the composition and leave all the details in their places.
PAfter processing, it becomes noticeable how much the color changes the perception of the image. Clothes look more natural, skin gets a vibrant tone, and faces become much more expressive. However, GPT Image does not turn a photograph into a digital illustration. On the contrary, the model tries to maintain the feeling of a real photo, only carefully adding the missing colors. Thanks to this, the result looks believable and does not create the impression that the photo has been completely redrawn.
AndIt is this step-by-step approach that makes generating AI much more efficient than trying to do everything in one long prompt. First, the neural network restores the structure of the image, then works with color, and after that you can move on to additional changes.
Stage 3. Spot correction: when you want to change individual details
PAfter restoration and painting, many consider the work finished. In fact, right now there is an opportunity to make the photo even more interesting. GPT Image can make local changes without affecting the entire image. This approach is especially useful if you want to slightly change the atmosphere of a photo or correct individual details without a new full generation.
PLet's experiment with another, more stained, photograph that we took on the street. First, let's do the same manipulations with it, restore it and color it:
Camy interesting next. We know that the weather was cloudy at the time of filming. But since the clouds were not visible in the source code, the neuron recreated quite clear weather for us. But we will draw them!
DTo do this, load the last result received and send another request:
“Change the weather to cloudy: add dark clouds, light rain and realistic lighting. Keep everything else as is. Shot on the latest iPhone"
Here's what happened:
EThis example shows well the capabilities of a modern AI photo editor. Instead of recreating the image, the neural network works only with those elements that you specified in the request. You can similarly change the lighting, make the sky more dramatic, add light snow, remove unnecessary objects in the background, or adjust individual elements of clothing. Everything else will remain virtually unchanged.
TThis principle of operation is reminiscent of professional retouching, but instead of several hours of manual processing, it is enough to correctly formulate the task. This is why today more and more designers, bloggers and ordinary users prefer to take photos with AI rather than waste time on complex graphic editors. The neural network takes on the technical part of the work, and the person can only explain what result he wants to get.
However, it is important to remember one limitation. If a person’s face is practically not preserved in the original photograph, the text has been completely erased, or part of the image is missing entirely, the neural network will restore these areas based on probability. In most cases the result is very convincing, but sometimes certain elements may not look accurate. This is not a model error, but a consequence of the fact that there is simply not enough information for recovery. In such situations, it is better to use additional point queries and gradually adjust the necessary areas of the image.
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AI technologies: why step-by-step processing via Syntx works better
KWhen you look at the final result, it seems as if all the work took one button. In fact, high-quality AI processing is built precisely on the sequence of actions. First, the neural network removes physical damage to the photo, then carefully adds color, after which it allows you to change individual details, and only then generates the final version of the image. This approach gives a much more natural result than trying to combine everything in one long query.
Andthat's why we work through Syntx aggregator much more convenient than looking for different services for each task. All the necessary tools are already in one interface, and GPT Image allows you to go through the entire photo recovery process without switching between multiple sites. This is especially convenient if you regularly work on family archives, restore historical photographs, or simply want to give your loved ones updated photographs that have been lying in an old album for many years.
CModern AI technologies have long ceased to be entertainment. Today they help preserve family history, bring archival photographs back to life and restore footage that just a few years ago was considered hopelessly damaged. Moreover, this can be done in just a few minutes, without having the skills of a professional retoucher.
EIf you have long wanted to tidy up your old photos, you should start with just such a scenario. Upload your photo to GPT Image via AI Syntx aggregator, sequentially complete the three recovery steps and only then proceed to additional changes. And with our promotional code PAYBACK you can take a couple of photos using AI for free.
AndIt is precisely this scheme that today allows you to get the most natural result, preserving the atmosphere of the original photo and at the same time giving it new life.
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