The use of artificial intelligence for image creation has become a common practice today. Image generation is an essential process for delivering value to potential clients, and thanks to automation, this process becomes faster and easier. Although AIs cannot think, anticipate, or imagine, they can learn patterns that allow them to produce results similar to those of humans.
What is artificial intelligence for image creation?
Image-generating AIs use learning algorithms to produce realistic and creative images from textual input. They recognize objects and the relationships between them to combine concepts, styles, and attributes, creating innovative images. These tools have two neural networks for different purposes: one handles image creation, while the other evaluates the effectiveness of the idea by comparing it to other images on the internet.
Applications of artificial intelligence for image creation
Below are some of the image-generating AIs:
- DALL·E 2: This tool is the evolution of its predecessor, DALL·E, and can produce exclusive images, design products, and photographs, making it very popular. Only a select group of artists and content developers have limited access, and there is a waiting list for use.
- MidJourney: An AI focused on creating high-quality, well-structured paintings. It is also considered one of the most realistic AIs. It offers two options: limited free image creation and a paid mode with extensive features.
- Dream, Create Your Ideal Image: This tool allows anyone to be a professional painter. Users choose the theme, style, and a reference to consider. The app is free, with a paid version offering additional content and features like printing and ad-free creation.
- Stability AI: Ideal for beginners in digital art. With open-source code, users can improve and adapt the original code to their needs. When entering text, the platform generates four image options quickly and almost instantly for selection.
- AI Time Machine – MyHeritage: This AI acts as a “time machine,” showing how a person could have looked in different eras through text input. It combines models with defined themes, producing astonishing images where a person is “disguised” as a historical character.
- Artbreeder: Uses neural networks to combine images and create new, unique ones. It is particularly useful for artists and graphic designers seeking inspiration. Artbreeder allows selection from categories like portraits, landscapes, or animals, then merges them to create a unique and personalized image.
In addition to the tools mentioned above, many other AI platforms enable image generation, such as StyleGAN, OpenAI’s GPT-3, BigGAN, among others. Each has specific features and functions, so evaluating them carefully before choosing is important.
Will AI for image creation replace graphic design?
Although image-generating AIs offer an efficient and fast solution for creating images, it is important to remember that they do not replace human creativity or custom graphic design. Automating processes with AI can save time and resources, but it should not be seen as a definitive solution for all design challenges.
The use of AI-generated images is a growing trend in the graphic design and advertising industries. However, creativity cannot be fully robotized, and graphic design should be tailored to each client’s needs.
