Why Your AI Headshots Suck (and How to Fix It)

Are you worried that your AI face headshots will look fake or unnatural? Have you wasted your money on headshots that didn’t work? It is possible for AI images to come out looking weird, but that’s probably because the input images used just aren’t right. We’ll quickly explain why this happens and how you can actually achieve amazing, natural, and seamless-looking AI headshots with just a few clicks.

AI headshot generators need good uploaded images

AI needs to be able to recognize your face, which is why you are required to upload image between a couple of pictures of yourself to create the best AI portraits. These photos, however, need to reflect what you want to see in the final product.

For example, if you want to be smiling in your AI photos, you must upload photos of your smile. If you want to be wearing glasses in your photos, then upload photos of you with glasses on. It’s as simple as that!

As you can see, the beautiful Kendall Jenner looks great in both pictures and still looks like herself in the AI-generated one. However, even Kendall Jenner can look bad in a photo if the input isn’t right…

Mistake 1: Inconsistency leads to bad AI photos with poor facial details

If you give AI mixed messages, chances are the results won’t be good. You need to be consistent with your input images: same hair color, similar facial expressions and angles, and no old photos.

This is what happens when input images are inconsistent:

This sure looks like a lovely lady, but she isn’t Kendall Jenner! Because the images were so inconsistent, the AI was not able to recognize her face and put out a good result, affecting the overall image quality.

Mistake 2: Covering your face or blurry photos

If you want AI to render a good image of your face, then you have to show it! Using input images that are blurry or where your facial features are totally or partially covered will yield terrible results. Remember, AI needs to learn what you look like!

Here’s another example of what not to do:

Whoever that person on the right is, she sure isn’t Miss Jenner. At best, she looks like a distant relative of the famous supermodel… That’s because her face is covered in the input photos.

Mistake 3: Too little variety in portrait photos leads to bad AI headshots

Consistency doesn’t mean you should upload the same photo 20 times over. In fact, some variety in the input images will help AI learn what your face looks like in a more comprehensive way and enhance facial details. Try to pick photos of yourself from different days and with different backgrounds for the best results. Also, make sure you’re using current photos of yourself - not a school photo from 2011!

As you can see in the following example, every input image was taken on a different day, but with similar hair, and facial expressions, and around the same year. This leads to impressive results:

And there you have it. If you follow these simple rules, you’ll get the most out of the groundbreaking technology that is AI, and your professional image will be boosted with just a few clicks.

If you have any questions, feel free to drop us a message through info@themultiverse.ai or simply get your own headshots at The Multiverse AI