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The most noticeable changes have affected representatives of the creative industries - designers, marketers, copywriters. Today, with just one click of the mouse, you can generate text for a corporate blog and supplement it with AI illustrations (such that you can’t even tell them apart from a real photo). In 2023 alone, neural networks generated about15 billionimages, and87%companies believe that AI technologies provide businesses with a competitive advantage.

With the help of neural networks, anyone mexico telegram can feel like a photographer, artist or illustrator. Today, there are many tools that allow you to create unique photographs, paintings, drawings, 3D graphics, logos, etc. We are sure that in 2023, you should at least try to use the capabilities of a neural network. However, how to choose “the one” tool for your business among thousands of options? In this article, we share a selection of the best neural networks for creating images and tell you how to use them.

The Best Neural Networks for Image Generation - : Artificial Intelligence in Marketing: Benefits and Use Cases Neural networks for image generation: what is it and how does it work An image neural network is a type of software based on deep learning neural networks that are trained on a large data set.