Artificial intelligence image generators are algorithms that use machine learning to create new images from a set of existing data. These algorithms are able to learn from a set of existing images and then generate new images that resemble the ones they have learned.
What is a generative neural network?
There are several types of artificial intelligence image generator, but one of the most popular is the generative neural network (or GAN). GANs work by combining two neural networks, one that generates images and the other that evaluates them to determine their quality. These two networks are trained simultaneously until the generator is capable of creating images that fool the evaluator network into believing they are real.
What does an artificial intelligence image generator do?
Artificial intelligence image generators have many applications, including the creation of visuals for advertising, the design of video games, the production of artistic content, and the simulation of environments for training machine learning algorithms. They have also attracted a great deal of interest in the scientific community for their ability to create new images from existing data, which could be useful in fields such as medicine, where medical images could be generated from patient data to help diagnose illnesses.
How do you create a visual using AI?
All you need to do is visit an image generator such as Crayion or Dall-E to create a visual using artificial intelligence. Some software is free, with a limited number of images that can be created, the creation time, rights of use and the quality of the images. It is also possible to access these generators directly via PIEs or via a template (such as GPT-4).
To write a good Prompt*, i.e. write a quality text to generate the right images, visit .....
With the arrival of this new discipline, the profession of 'prompt engineering' was born.
*Prompt: a sentence of text that an AI interprets to produce a result. (to be followed by an article on how to write a quality prompt )
Are these images free of copyright?
Just like online image banks, some images are free, while others require a clearly defined licence.
Can image generators be used to create NFTs?
Tools such as StarryAI and GoArt can be used to create NFTs. These tools are positioned as NFT creators, they simply encourage you to produce virtual art on their site.
What are the implications for creative fields?
Artificial intelligence image generators are having a major impact on creative fields. They open up new possibilities for artists, designers and content creators by enabling them to quickly generate high-quality images from existing data. Here are some of the key impacts:
Accelerate the creative process: AI-powered image generators can produce images at a much faster rate than traditional image creation methods. Artists and designers can therefore work more efficiently and create images more quickly, which can be a considerable advantage in industries where time is of the essence. In addition, they are able to produce high quality images with very fine detail, which can improve the overall quality of the creative work. But it can also be a sign of concern, of questioning. One example is 'Loab', the legend of which is told by an artist called Supercomposite. He says he wanted to have fun creating "counter-images" using artificial intelligence. After creating the "inverse of Marlon Brando", which produced an image of a logo, he wondered whether creating the inverse of the logo in question would reproduce Marlon Brando. But there was no sign of Marlon on the horizon, so this face of a woman in her forties who looked pretty desperate was born.
Just like Guy Kelly, who simply searched for a non-existent word "CRUNGUS" and came up with a demon with horns. We wonder whether the AI was inspired by the Christmas demon 'Krampus' or the being called Crungus that appeared in the game Carnivores Ice Age.
That's why it's important to be careful when using AI and to follow its development, because AI is already capable of creating some rather creative but slightly terrifying visuals. Despite this, AI image generators are still somewhat limited in their ability to produce truly unique and creative images. Although they are capable of producing high-quality images, they often lack the creativity and imagination needed to produce truly original and innovative images. They are limited in their ability to understand the context and nuances of images.
Encouraging experimentation: artificial intelligence image generators allow designers to quickly test new ideas without the need for advanced technical skills. This can stimulate creativity and innovation in creative fields. For example, it is possible to search for examples of what you would like to do and use them as inspiration to create the work manually. It would be preferable to use these tools as "mock-ups" rather than as pure creations, as the widespread use of image generators based on artificial intelligence could lead in the long term to the trivialisation of images and artistic creations. This is because, to create images from "prompts*", the generators draw on existing databases of art and text. In short, if everyone uses the same tools to create images, this can reduce the uniqueness and value of works of art.
Reduce costs: artificial intelligence image generators can reduce the costs associated with image creation, as they do not need to be permanently supervised by an artist or designer. This can enable small businesses and individuals to produce professional quality images at a lower cost.
Ethical concerns: Artificial intelligence image generators raise important ethical issues around intellectual property, plagiarism and image manipulation. It can be difficult to determine the source of a computer-generated image, which can lead to intellectual property issues. Many artists wonder whether these programs are completely based on the pirated intellectual property of countless artists, photographers and other copyright holders. In addition, although the prompts remain general, it is possible for an image to be based on the work of another artist. This can lead to the creation of images intended to imitate the work or even the style of an artist.
*Invites: visual or audio message soliciting the operator's opinion or action.
In conclusion
It is important to note that artificial intelligence image generators are not perfect and that it is often possible to distinguish computer-generated images from real ones. In short, AI image generators are having a significant impact in creative fields, opening up new possibilities for artists and designers. At the same time, they can have drawbacks, particularly in terms of creativity, ethical concerns and the limitations of AI. It is therefore important to consider these factors before using these technologies to create images and artistic content. The use of AI image generators can lead to an over-reliance on technology and reduce the ability of artists and designers to use their own creativity and intuition. At the moment, there is also a lack of regulation due to the novelty of this practice. So the questions are: will AI image generators harm artists? Is AI-created content considered a new kind of Art?
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