Hi, I'm Romaric, founder of Photographe.ai, nice to meet you!

At Photographe.ai, we put generative AI in everyone's hands with affordable prices and powerful tools to create perfect portraits. Whether you need professional photos for your resume, high-resolution 16MP artistic shots, or content for a social (or even OnlyFans) account; we've got you.

One of the most important things in AI-generated imagery is consistency. Whether it's a character, yourself, or a product, consistency is the key to believable and lovable results.

In this article, we'll focus on human face consistency: how to get high resemblance, high detail, and stunning results.

1. What Makes Your Face Yours?

Your face is unique, but what makes it unique? It can be broken down into a few essential components:

• The ratios between your eyes, nose, and mouth
• The overall geometry and contour of your face

These distances are used to build a vector, which is a numerical fingerprint of your face. A vector is just a point in space, the only twist is that this space isn't three-dimensional, it's made up of hundreds of dimensions! But even in this complex space, comparing two faces is as simple as measuring the distance between two points.

That alone is usually enough to distinguish you from any other human on Earth, even if the photo shows you smiling, or from a different angle. Yes, that's all it takes!

This is used in state of the art face matching algorithms like AWS Rekognition or IDEMIA used to identify you against 350 million US citizens in airports.

But what makes your face recognizably you includes much more:

• Your eye and skin color
• The position of skin spots, moles, beauty marks
• The subtle wrinkles under your eyes or the little vein on your nose

And even more dynamic elements, how your skin moves when you smile, how light reflects on your skin from different angles, etc…

If you do not include these elements, your face may be recognizable by a machine, but not by your friends, and even less by yourself. And that's what this article is really about.

2. How AI Learns from Your Face

AI has this amazing ability to detect patterns. Show it 10 images of a cat, say "this is a cat", and it will begin to associate certain features (triangles for ears, furry texture, shape of the nose) and then it will learn to recreate that cat.

If you look at how the AI generate a cat step by step, you will see the general triangles shapes and rounded body on the first step, then the face features appear as well as the furry texture, and finally everything starts to improve in quality as new learnt details appear.

The same applies to your face. If you show the AI 10–20 photos of yourself and say "this is me", it will begin to recognize your unique features. And here's the interesting part: the AI already knows what a human face looks like. It doesn't need to relearn the general shape of a face. It focuses instead on what makes your face special — the specific ratios, colors, lighting effects, and the small details.

But here's the trick: If your beauty mark appears in image 1 but not in image 3, the AI might think "ah, that's not important", and ignore it. Too much variation and the AI will average it out, giving you a generic, plastic-like face. Too little variation? You'll be stuck with the same smile in every photo.

Of course, this is a simplified view. Behind the scenes, when your images are processed, the AI doesn't just look, it's also told what it must see. Each image is paired with descriptions like "Romaric is smiling", "Romaric is looking left", or "Romaric is sad". These annotations help the AI understand both what Romaric looks like, and how Romaric's expression, pose, or mood change from one photo to another.

But here's the limitation: we can't describe everything. We don't say "Romaric has a beauty mark on the top-left cheek, another one at 23 degrees west and 10 degrees north, […]". These tiny details are never explicitly written, so they must appear consistently in the images.

That's why the best training set balances variation in context and expression, with consistency in fine details. Because what the text can't describe, the visuals must show — over and over again. And this, is also leading us to the main part: How to get the best of AI portraits!

3. A Guide to Get the Best (or the Worst) AI Results (With Examples)

At Photographe.ai we use state-of-the-art models to generate highly accurate pictures of you or your model. But to get the best out of this models, we will look at several examples of what not to do and what you must do.

❌ Faces that are blurry or pixelated (hello plastic skin or blurred results)

Blurry photos confuse the AI. It can't detect fine skin textures, details around the eyes, or subtle marks. The result? A smooth, plastic-like face without realism or resemblance.

This happens more often than you'd think. Most smartphone selfies, even in good lighting, fail to capture real skin details. Instead, they often produce a soft, pixelated blend of colors. Worse, this "skin noise" isn't consistent between photos, which makes it even harder for the AI to understand what your face really looks like, and leads to fake, rubbery results. It also happens even more if you are using face skin smoothing effects or filter, or any kind of processed pictures of your face.

❌ All photos showing the exact same angle or expression (now you are stuck)

If every photo shows you from the same angle, with the same expression, the AI assumes that's a core part of your identity. The output will lack flexibility, you'll get the same smile or head tilt in every generated portrait.

Again, this happens sneakily, especially with selfies. When the phone is too close to your face, it creates a subtle but damaging fisheye distortion. Your nose appears larger, your face wider, and these warped proportions can carry over into the AI's interpretation, leading to inflated or unnatural-looking results. The eyes are also not looking at the objective but at the screen, it will be visible in the final results!

❌ All with the same background (the background and you will be one)

When the same wall, tree, or curtain appears behind you in every shot, the AI may associate it with your identity. You might end up with generated photos that reproduce the background instead of focusing on you.

❌ Pictures taken over the last 10 years (who are you now?)

Using photos taken over the last 10 years may seem like a way to show variety, but it actually works against you. The AI doesn't know which version of you is current. Your hairstyle, weight, skin tone, face shape, all of these may have changed over time. Instead of learning a clear identity, the model gets mixed signals. The result? A blurry blend of past and present, someone who looks a bit like you, but not quite like you now.

Consistency is key: always use recent images taken within the same time period.

❌ Too many photos (30+ can dilute the result, plastic skin is back)

Giving too many images may sound like a good idea, but it often overwhelms the training process. The AI finds it harder to detect what's truly "you" if there are inconsistencies across too many samples.

✅ The perfect balance

The ideal dataset has 10 to 20 high-quality photos with varied poses, lighting, and expressions, but consistent facial details. This gives the AI both clarity and context, producing accurate and versatile portraits.

Use natural light to get the most detailed and high quality pictures. Ask a friend to take your pictures to use the main camera of your device.

4. Generative Errors: The New Red-Eye

Now that your photos are selected and the training is done, it's time to talk about the generated images. You'll get them in a few minutes.

But beware, AI is not perfect. In traditional photography, you had:

• Closed eyes
• Red flash effects
• Bad lighting

In AI photography, you might get:

• Hands that look wrong or fused
• Faces that are slightly off
• Unnatural proportions
• Clothes with strange folds or distortions

This can happen in 1 out of 4 images. That's why we recommend always generating multiple versions per style. In fact, this is a standard procedure for experienced generative AI aficionados.

At Photographe.ai, we let you create up to 250 images with our cheapest plan (9 dollars) so you can easily select the best ones.

5. Seeing Yourself: Mirror, Photos, AI

There's something strangely uncomfortable about seeing yourself in someone else's photo. Your nose looks off. Your smile feels unfamiliar. The same thing happens when you hear your own voice in a recording, it sounds wrong, higher, flatter, more distant. It doesn't feel like "you".

This isn't just your imagination, it's a well-documented psychological effect.

We're most familiar with our mirror image, not our real one. You've spent your whole life seeing yourself reversed. So when you see a photo, especially one taken by someone else, from a different angle, under different lighting, it feels uncanny. This is called the mere-exposure effect: we prefer what we see more often. And in your case, that's your reflection, not your true face.

With AI portraits, this happens too, sometimes even more intensely. Why? Because AI doesn't generate your reflection — it reconstructs you based on consistent patterns across all the images you gave it. That includes your non-dominant side, your unsmiling expression, even your real skin tone. All without the biases your own mirror adds every morning.

You may like it, recognize yourself in it well, or not, but remember: these images are not for yourself. They're for your employers, clients, friends; and they will see you, just like they do in real life. And with time, you'll start to see it too.

Conclusion

Thanks for reading, or if you did not have time, let's wrap it up with a quick checklist:

• ✅ Upload 10–20 high-resolution photos (not too much) with clear facial details
• 🚫 Avoid filters, beauty modes, or blurry photos, they confuse the AI
• 🤳 Be very careful with selfies, close-up shots distort your face (fisheye effect), making it look swollen in the results
• 📅 Use recent photos taken in good lighting (natural light works best)
• 😄 Include varied expressions, outfits, and angles, but keep facial features consistent
• 🎲 Expect small generation errors, always create multiple versions to pick the best

And don't judge yourself too harshly — others will see you clearly, even if you don't

The best training set balances variation in context and expression, with consistency in fine details.

At photographe.ai, our mission is to help everyone look their best with powerful and simple AI tools. Whether it's for your LinkedIn profile, your next dating photo, or just for fun, you deserve great pictures.

Bon courage et bonne photo,
Romaric