The more detail the request, the more accurate the result. Neural networks work in different ways: some focus on matching the picture to the request and send one image. Others create several options at once, from which you can choose the right one. Some draw quickly, but less accurately, others take a long time, but in detail. Technology is changing rapidly, each time its algorithms are better. Previously, it was possible to request a “r cube”, and get a r circle – the neural network misunderstood the request. Now she will draw different variations of the r cube. Therefore, in design, they began to use it as an appli tool for generating ideas.
The AI should go to the source
Also neural networks are able to complete the pictures. You can take a photo and ask the program to complete the image in the same style, but at its discretion. The Bolivia Email List main task for the correct operation of the neural network lies with the developers. Alternatively, the program can search for images in Yandex and Google – this is a simple, but not always effective way. Many images are upload to the network without names, or pictures are sign incorrectly: for example, 12345678bkv. When developers create a neural network, they usually generate their own database and sign pictures themselves.
Some generate such unusual pictures
This helps the neural network to correctly perceive Buy Email List information and select relevant images. Examples of designs creat by AI and neural networks Limitation of current AI models Not all neural networks do their job. Sometimes the result can be something both frightening and bewitching, but not suitable for the request. that it is not clear whether a person paint it or not. It should be not once again that it is important for the neural network to clearly and in detail prescribe the request. You can drive in the text “young girl”, and the result will be a tasteless picture.