Neural networks are gradually penetrating all areas of human activity. Now their influence has also been felt by graphic designers who create logos. Al is literally stepping on the heels of “live” specialists, taking clients away from them. Let’s explore how to make a logo design custom.
Artificial intelligence is capable of generating many suitable logo options in just a few minutes, focusing on the user’s text queries. AI technologies are also used in online logo generators (a good example is the Turbologo service). They provide excellent results and, at the same time, are simple and easy to use.
Therefore, more and more people without design skills are turning to Al to create a unique identity for their brand.
In this article we will tell you how to create a good logo using neural networks.
Benefits of using neural networks
The main advantage of this method is that creating logos or references for designers is now available even to those who do not have skills in working with graphic editors. The process of generating the desired AI product is simplified as much as possible: the user simply enters simple text queries and receives the desired result from the system.
Advantages of using neural networks:
Accessibility: logo generation using Al services is available to everyone. To create a logo in this way, you do not need to be able to work in complex programs (for example, Adobe Illustrator).
Quick result: the system will provide several logo options in just a few seconds.
No high costs: developing a logo by a designer will cost a significant amount, but AI can cope with this task almost free of charge.
Services running on Al have a simple and user-friendly interface. To get started, you just need to enter a text query that most accurately describes what you want to see in the logo.
Who is this method suitable for?
Much depends on the budget and scale of the business. Large companies can use the services of a designer or even an entire agency. The specialist will work out the logo in detail and create a unique sign.
For beginning entrepreneurs who want to create a logo quickly and inexpensively, generation in a neural network is the most suitable solution. In this case, the business owner will not have to look for a contractor and spend the lion’s share of the budget on paying for his services.
However, it should be understood that a product created by a neural network will not be completely unique. Of course, as practice shows, artificial intelligence extremely rarely generates the same images, because users send different requests. But we cannot exclude the possibility that the same parameters will be set. Therefore, if you want to get a unique logo, you should use a neural network only to create basic layouts. Then these materials can be modified by a designer or a special program that allows you to obtain an original product.
How to create a logo using a neural network: step-by-step instructions
Now users have many options for neural networks for developing a logo and other elements of a company’s image. They all work on a similar principle.
Stages of creating a logo using a neural network:
- Decide on key design features. At this stage, you need to indicate everything related to your company: name, slogan, type of activity, keywords, references. It would be a good idea to describe the active images so that the system can use them to generate a logo.
- Change your keywords. By editing queries associated with your company, you can get the maximum number of diverse and creative logos. This will give you a better chance of creating something unique and appropriate.
- Choose the best options. Focus on the best logo options so that the neural network can determine in which direction to move. Artificial intelligence will generate new images based on your preferences.
- Save the finished result. The neural network will provide you with a ready-made version of the logo, which you can edit if desired, and then export to your device.
Recodmendations for writing a request
Artificial intelligence that generates logos uses standard user requests. And if the name of the company and the scope of its activities can be specified without thinking, then choosing the appropriate keywords or association words will require some mental effort.
To get the desired result when working with artificial intelligence, you need to correctly compose queries:
Keywords should be simple and clear. Imagine that you are communicating with a child. Do not use complex speech structures.
It’s better to write in English. Many neural networks work better if you send queries in English.
Focus on what’s important. If you focus on small details, the neural network may misunderstand you. You will have to resend the request and waste a lot of time.
Don’t use negatives. In practice, it often turns out that AI is ignorant expresses negative particles, some conjunctions and prepositions. Just write suitable keywords separated by commas.
Using a neural network, you can quickly and inexpensively (or completely free) create a logo for a company. At the same time, the user does not need to have specialized design skills. Of course, such a logo will be quite standardized, but for many entrepreneurs this option is quite acceptable.
We wish your business prosperity!
