In 2024, artificial intelligence does almost everything - draws, writes, answers questions, searches for useful information. And also creates a photo of a virtual person from scratch. Below is a selection of human face generators that work according to the StyleGAN algorithm - when the neural network produces a new unique face every time the page is refreshed.
4. Is it possible to determine that a person's photo was generated by a neural network?
5. Conclusion
What types of random face generators are there?
Such neural networks are called "random face generators". They use the GAN or StyleGAN algorithm (generative adversarial networks), which generates non-existent people. A fake from AI, but of extremely high quality. So much so that most will not be able to distinguish a fictional character from a real photo of a person!
Fake face generators are not just a toy for entertainment, as cryptocurrency data many believe. For example, for an arbitrageur, this is an indispensable tool in the work process. Its strengths are high speed and quality.
What are non-existent face generators for?
StyleGAN generators have several advantages over other tools:
Unique and free to use . The images are not protected by copyright, so the consent of the copyright holder is not required. This solves many problems faced by content creators in 2024 - you are provided with a huge database of unique photos (often completely free).
Photorealism . Neural networks have significantly improved the quality of generation - you don't have to worry about the plausibility of the result.
Saving time and budget . If you need to stamp out hundreds of unique photos per day, then GAN neural networks can easily handle it.
These capabilities in one tool are a must have for an arbitrageur .
Farm. The generator will allow you to farm accounts in social networks, forums and other platforms. You will receive unique avatars and prepare accounts for any advertising campaign. Realistic faces will increase the trust of moderators and users, which will increase conversion.
Creatives. As mentioned above, they can be generated quickly in unlimited quantities. Each copy is unique – and using people’s faces in promotional materials increases their CTR.
Bourgeois. With such a tool it is easy to enter the bourgeois platform. Generators create a face with any given characteristics - ethnicity, hair color, gender, facial features, etc.
Security. One of the main advantages in 2024. No need to worry about misleading the user. This is not a deepfake for illegal purposes, but just white creative that catches the attention and moves the user to the next stage of the sales funnel.
5 Famous Neural Networks for Generating Human Faces
First of all, random face generators are a universal tool, and only then a creative application. If arbitrageurs use the result in their creatives, then designers and photographers can go further - improve the creation in Photoshop or another program. Below we present a selection of well-known GAN neural networks.