New technologies have a significant impact on our lives. Recently, you can ask a question to AI, and its answer will be not just a text, but an essay on the topic of your choice. The same can be said about a photographer’s talent.
UI/UX designers, for example, use the network and contribute to its training. Image analysis allows predicting the desired result, taking into account the convenience and ease of use. Designers and marketers use AI capabilities to create images. If you think it is complicated, you should read this article.
What are neural networks
Deep learning of images and other content contributes to the training of the neural network algorithm. Based on the studied materials, the result is generated – photo by text. Fortunately for beginners, it is easy and simple to use the actual software.
The main thing is that you do not need to learn anything.
How neural networks draw
The decision to apply a neural network that generates pictures will be correct. This is due to the fact that the system executes any commands. Complexity, stylistics and other aspects are set in the simplest way – by text. The accuracy of expressions affects the quality of the result.
However, you need to take into account the following:
- Training continues
The variety of neural networks will allow you to find the most appropriate one. The good news is that there are many of them. However, there are also limitations. The software is still learning, and this affects the result. - The way of drawing
Artificial intelligence can not think, so a different approach is provided for “works”. Analyzing images that have already been flooded into the Network, you can predict the value of pixels and “draw” a photo. - Drawing style
Programs perform tasks in their own style. You can learn about the proposed style on the neural network website. Thanks to this, it is easy to create both surreal images and high-quality photos.
To work with AI, it is necessary to make the most accurate description of the result. If there are difficulties with this, you can gradually correct the shortcomings. The system will fulfill any whim. This is the reason why the request how to generate a picture appears more and more often.
Best neural networks for generating pictures
As you begin your search for the best neural network, be prepared for a variety of options. Their differences are not immediately noticeable. Most often, the difference is in the speed of query processing and the quality of the obtained images. Let’s consider the most popular neural networks.
Midjourney V6
This neural network is the first in popularity. This is due to the fact that the recent update made a real sensation. The software of the latest version shows itself well when creating images in style:
- art;
- concepts;
- movie stills;
- realistic photographs.
There is a special surprise for fans of famous personalities. The drawings of familiar faces are amazing, so realistic they are. High-resolution pictures are used for personal use, and sometimes they are used to create thematic drawings for marketing purposes.
Midjourney V6 attracts attention with its advantages. This list includes:
- possibility to change images by adding a new tooltip;
- simple and easy-to-use interface, which is suitable for beginners;
- the resolution of the images is 2048 x 2048 pixels.
Although you need a Discord account for access, the tool is completely free to use.
DALL·E 3
The expectation for the third version was justified. The developers integrated into the software the ability to give commands via ChatGPT chat. This made it easier to realize the creative impulse.
Those who have subscribed to OpenAI should take a closer look at this software. If you haven’t already, consider it. The solution is used for design, advertising and marketing. Considering that the tool creates surreal photos, inexperienced designers should pay attention to the offer.
As for the advantages of DALL-E 3, there are quite a few:
- you can get ready-made options within a minute;
- you can create personalized, humorous images;
- collage and layout tools are available.
The high cost of the service causes some inconvenience, but on a budget it is a pleasure to use DALL-E.
Stable Diffusion 2.0
This graphical neural network is in demand, as evidenced by the input statistics.
Services from Stability AI will be needed in the following situations:
- need to create an image from a sketch;
- you need images in different styles;
- it is possible to draw from a sketch “by hand” (finger, mouse).
The last feature is quite rare, so the offer remains in the top of the best for a long time. You don’t need a subscription or a Discord account to access the software.
Jasper Art
Generating images on this service may take some time. As for the results, they are impressive. The tool is excellent for drawing landscapes and portraits.
In favor of the choice says that:
- the neural network uses templates to create a new picture;
- you can choose the style of famous artists;
- users can zoom in.
To generate, you need to specify detailed instructions. In addition, it is recommended to choose the style, theme and important details. It is possible to send a command using a text prompt.
Adobe Firefly
An exclusive offer is available to fans of the Adobe brand. A subscription to the company’s products is enough to start your creative work.
Among the advantages of this neural network for images:
- Use of materials that are not protected by copyright in ready-made templates;
- clear interface for entering commands and making edits;
- additional parameters are available in a separate menu.
You can use the templates used to create new files in advertising and on your own pages. Retouching of ready-made images is provided, so any beginner will be able to unique content.
Bing Image Creator
The well-known neuronka for creating pictures is developed on the basis of the already mentioned DALL-E service. Users still send commands in text format. The result is available instantly. Generated images can be used in advertising accounts, but it is worth considering the style of drawing.
To access the AI, you need a Bing Chat account and Microsoft mail. Thanks to this, you will not have to pay for use. There are disadvantages here: a ban on editing the created photos.
At the same time, it is possible to recommend the service. It will allow you to create a picture without special skills. Given this advantage, the tool is suitable for training and experimentation. In order to edit pictures on other sites, there are no problems.
NightCafe
There are many benefits to becoming familiar with this AI tool. Beginners can easily select a template from the library, edit the generated content, and have fun drawing.
For professionals, there are a bit more benefits here. For example, NightCafe can be used for modeling 3D scenes. The process is not easy, but the results will satisfy the requirements of designers. There are various styles for artists, among which you will be able to find the right one. The detailing of pictures is the next advantage of the neural network.
For the created images, users receive credits. They are used to draw other elements and visualize their sketches.
DreamStudio
The innovative picture generator amazes with the options offered. High query processing speed allows you to get the result and edit it quickly. Detailed improvements are the reason to pay attention to this neural network. Photo processing is provided, and the style and cues for this purpose will be offered by the AI itself
Pros and cons of pictures that neural networks generate
Nowadays, generating pictures by description has gotten a lot of attention. The emphasis is shifted in favor of advantages, because the list includes:
- the ability to create images without unique skills;
- high quality results with little investment;
- access to an endless gallery of styles and templates;
- generation of images in the same style and color scheme;
- low investment compared to other options.
With all the advantages, a neural network that generates pictures will not lead to the disappearance of the profession of designer. This is due to the fact that generated pictures also have disadvantages.
The lack of originality and creativity, as well as unpredictable results repel users. The best neural networks will be useful for creating dozens of similar images, as well as developing their own style in artists.
