Did you like the images above? All of them were generated without any human editing work, they are all the fruits of machine rendering trained with human faces and shapes and that from then on can generate infinite combinations according to “prompts” descriptions inserted in a command line.
Learning machines for human images render is a fascinating and rapidly growing field. These machines, also known as AI-based image generators, are able to create highly realistic images of human faces and bodies, without the need for any human input or editing.
The process of training these machines begins with feeding them a large dataset of images of human faces and bodies. These images can be collected from various sources, such as online databases, social media, and even photographs taken by the artist themselves. Once the machine has been trained on this dataset, it can then be fed “prompts” in the form of text descriptions or even sketches, which it uses to generate new images.
One of the key advantages of using machine learning for human images render is the ability to create an almost infinite variety of images. The machine can be trained to understand different facial expressions, poses, and lighting conditions, and can then generate images that match these descriptions. This allows artists to create highly detailed and realistic images that would be difficult or impossible to create by hand.
Another advantage of using machines for image render is the ability to generate images in a fraction of the time it would take to create them by hand. Artists no longer have to spend hours or even days creating detailed images, they can now create a large number of images in a relatively short amount of time.
The use of machines for human images render is also opening up new opportunities for artists to sell their work as NFTs. With the ability to create unique and one-of-a-kind images, artists can now sell their work as digital assets, stored on a blockchain.
In conclusion, the use of learning machines for human images render is a rapidly growing field that is revolutionizing the way art is created, displayed and sold. As these technologies continue to evolve, we can expect to see even more exciting developments in the world of digital art.
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