Google Gemini reveals eight techniques for retouching photos while maintaining a natural appearance

4 min read
Gemini Foto: Gemini - Mehaniq / Shutterstock.com

Editar taking photographs with artificial intelligence without leaving obvious traces of digital manipulation is a challenge that depends less on the tool chosen and more on the way in which the adjustment is requested. Gemini, Google’s AI platform, can produce compelling results when prompts include specific constraints and well-defined goals, moving away from generic requests like “improve image.”

The big problem in AI editions lies in characteristics that immediately betray the processing: plastic-looking skin, exaggerated sharpness, overly saturated colors and backgrounds with obvious cutouts. Esses defects arise when artificial intelligence tries to amplify aspects of the photo instead of making only the necessary corrections. gemini

The correct editing sequence reduces signs of artificiality

The order in which adjustments are applied drastically changes the final result. Especialistas in image editing point out a workflow structured into four specific steps that must be followed:

  • Luz and color as the initial base of the image.
  • Textura with skin focus and noise reduction.
  • Nitidez focused only on essential details.
  • Ultimate Acabamento with camera lens effect.

Effective Prompts always combine an objective with a simultaneous constraint. Não works by simply asking “improve” — the result changes when asking “recover shadows without HDR effect” or “smooth skin without erasing pores”. Quando the photo presents serious problems, making one change at a time significantly reduces the risks of exaggeration and artificiality.

Oito prompts ready for immediate application

The prompts below cover common photography problems and can be copied directly into Gemini or adapted to suit each image’s specific situation. The first prompt is about natural light and soft contrast: “Enhance this photo by keeping it realistic. Ajuste smooth exposure and contrast to recover highlights and shadows organically, away from the HDR look. Preserve the original texture, avoid missing details, and use natural colors with moderate saturation.”

Para skin with real texture, the recommended prompt is: “Perform a natural skin touch-up: smooth only specific imperfections and discreet dark circles, preserving pores, freckles and microtexture. Evite artificial shine and do not alter facial features. Mantenha realistic skin tones.” Já for smart sharpening, use: “Increase sharpness naturally, prioritizing real details like eyes, hair and fabric. Evite halos, artificial contours or the oversharpen effect. Mantenha the aesthetic of pure photography, far from the illustration look.”

Quando aims to reduce noise while preserving texture, the appropriate prompt is: “Reduce noise, particularly chromatic, while preserving fine detail and texture. Evite watercolor effect and do not ‘flatten’ shadows. If necessary, maintain a fine, natural grain for realism.” Para realistic color and white balance: “Correct white balance for a neutral, realistic tone. Ajuste vibrancy and saturation in moderation, avoiding neon colors. Preserve natural skin tones and color consistency between light and shadow.”

Quando the background needs to be cleaner without looking like a cutout, request: “Reduce background distractions naturally, prioritizing smooth transitions and an organic outline. Preserve the subject in focus, maintain the original lighting and avoid excessive artificial blur.” Para recover sky and landscape: “Recover sky and cloud details realistically, smoothing out blown out areas with balance. Ajuste delicately restores local contrast and maintains the natural texture of the landscape, exclusively preserving the original elements of the scene.”

The last prompt offers a photo-looking finish: “Apply a natural photo finish: soft contrast, balanced colors, slight fine grain, and discreet vignette. Evite high saturation, plastic shine, and exaggerated sharpness. Preserve lifelike appearance.”

Técnicas to adapt prompts without compromising quality

Controlar the intensity of the adjustments maintains the naturalness of the photograph. Usar words like “reduce smoothing”, “less sharpening” or “moderate saturation” produce more discrete changes than overt requests. Adicionar phrases such as “keep the same lighting as the original photo” or “do not change the anatomy of the face” guarantees visual consistency and avoids unwanted transformations.

The “do not add non-existent details” command works as a protection against AI inventions — it prevents the model from adding buttons to clothes, changing eye colors or creating textures that were not in the original. Quando the image is very compromised, making one change at a time always beats trying to solve multiple problems simultaneously.

Sinais visuals that indicate artificial editing

Waxed Pele, visible cropped edges, unrealistic colors, sharpness that creates halos and strangely glowing eyes are the most common defects in AI edits. Esses problems arise when artificial intelligence tries to improve too much instead of correcting only what is necessary. Para avoid them, adapt the prompts according to the type of flaw: ask to “preserve pores and microtexture” against artificial skin, request “natural transitions” to avoid strange clippings, use “moderate saturation” against exaggerated colors, and include “avoid highlighting in the eyes” to maintain natural reflections.

Real Limitações and good editing practices

Nem every photograph can be recovered regardless of AI quality. The final result fundamentally depends on the quality of the original image. Very blurry or excessively compressed Fotos, such as screenshots from messaging applications, force the AI ​​to invent details, increasing the risk of artificial aspects. Imagens in high resolution produces better results and greater fidelity to the original. Além Furthermore, editing responsibly means avoiding changes that change people’s identities, especially in professional or documentary contexts. Incremental editing, one tweak at a time, always produces higher quality than attempts to solve everything in a single request.

Luís Henrique Costa é jornalista formado pela FMU, editor-chefe e fundador do Mix Vale, portal de notícias em atividade desde 2013. Responde pela direção editorial do veículo, que cobre Brasil e mundo em economia, benefícios sociais, esportes, tecnologia, ciência e entretenimento. Atua na área há mais de 15 anos e lidera uma equipe de cerca de 15 colaboradores.

Notícias relacionadas