Neural networks have become one of the fastest-growing subsets of artificial intelligence and are already impacting how many professionals approach their daily work. Artists and creatives are no exception: designers can tap into the seemingly limitless capabilities of neural networks to create logos, illustrations, product packaging templates, website interfaces—the list goes on.
Today, neural networks have taken the design world by storm. Artificial intelligence performs tasks that sometimes seem insurmountable. Do you know how much time it takes for artists to convert an idea in their brain into a drawing? I think we all do. But guess what? The same task can be accomplished in just minutes with the help of AI. In this article, we will look at at least 5 neural networks for designers along with additional apps that will be handy in your work.
How Are Neural Networks Useful for Designers?
A text-to-image transformation model is a machine learning model that processes inputs in natural language and creates a picture associated with that description. In 2022, models such as OpenAI’s DALL-E 2, Google Brain’s Imagen, and StabilityAI’s Stable Diffusion have emerged, producing images close to the quality of actual photos and artworks hand-drawn by humans.
Any neural network, from simple perceptrons to large corporate AI systems, consists of nodes imitating neurons in the human brain. These cells are closely interconnected. So are the nodes. As work progresses, the artificial intelligence begins to understand you better, adapting to your needs. Let’s see how designers use neural networks:
- Translating an idea or concept articulated in a text query into a full-fledged image.
- Recognizing and classifying graphic objects and text content.
- Automating repetitive tasks.
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- Improving search capabilities.
- Designing the site aesthetics.
- Creating digital marketing campaigns.
- Successfully connecting with the target audience.
- AI changing web design.
Artificial intelligence in web development helps optimize routine management tasks, facilitating better interaction with the target audience through effective website creation.
Web developers should employ AI applications to ensure operational clarity of websites and provide consumers with a personalized experience.
The Right Query for Image Quality Optimization
Learning to “talk” correctly with AI for it to produce the expected result is crucial. Follow the rules below to obtain the required solution:
- Enter queries in English, even with the option of communication in Russian. Experience shows that AI understands English better.
- Avoid negative formulations, meaning steer clear of the particle “not” as AI operates in the affirmative.
- Dispense with complex formulations involving participles and gerunds.
Mastery comes with experience. Designers learn in conjunction with AI, and together you can create genuine works of art.
Neural Networks for Image Creation
Text-to-picture models typically combine a language model that converts input text into a hidden representation, and a generative image model that creates a picture corresponding to this representation. The most effective models are usually trained on large volumes of image and textual data from the internet.
The first modern model for text-to-picture change, alignDRAW, was created in 2015. alignDRAW extended the previously introduced DRAW architecture to process text. The pictures generated by alignDRAW were blurry and not photorealistic, but the model generalized objects not represented in the training data.
One of the first text-to-image models to attract widespread public attention was OpenAI’s DALL-E, a transformer system announced in January 2021. Its successor, capable of creating more complex and realistic pictures, DALL-E 2, was introduced in April 2022, and Stable Diffusion was publicly released in August 2022. Let’s consider the best neural networks for designers:
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Jasper ART. Although it was introduced in August 2022, it outperforms most AI image generators on the market. Create as many images as you want without leaving watermarks, generate in seconds, create pictures with a brief description, and make four images simultaneously. Jasper AI Image Generator does not require account registration. It comes with different styles and editing options. Jasper Art is available for $20 per month per user if you want to use it.
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Starry AI. You can create photos with more customization, using its detailed tool than with other AI image generators. To simplify the task for its customers, Starry AI has divided digital art creation into two stages. You must input your phrase and choose between Altair and Orion to produce the drawing. Orion generates photos that reflect fiction, whereas Altair creates images demonstrating abstraction. The next step is choosing the background and style for the photos you create.
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Dall-E is a text-to-image transformation model. It generates high-resolution images, generates images of rare objects, learning from a diverse set of photos, available visual perspective, and 3D.
Many neural networks for designers are free. The following apps can also be helpful for designers:
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GoArt was created for the simple execution of NFT, turning your original photos into paintings. With this tool, you don’t need to be an expert to enter the world of NFT, and in just a few clicks, you will have ready-made NFT.
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Magenta is an open-source research project exploring the role of machine learning as a tool in the creative process.
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Created by Google, Deep Dream uses a convolutional neural network (CNN) to visualize patterns it receives from images to create a psychedelic appearance.
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DeOldify is an open-source tool used for coloring black-and-white images.
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thispersondoesnotexist.com uses GAN to create new faces that don’t exist. This can be useful for creating content without any costs, and you don’t need to pay anyone for photos.
Following other text-to-image transformation models, language-model-based text-to-video conversion platforms, such as Runway, Make-A-Video, Imagen Video, Midjourney, and Phenaki, are capable of generating videos from textual and/or graphic prompts.
Neural Networks for Text Generation
Today, many text generators exist, but according to experts, the optimal solution is ChatGPT, which you can use for free or with paid subscription on our website.
AI does not yet possess the skills and qualities necessary to fully replace a designer in a team. But we already see the impact that neural networks have on the illustration market. It’s safe to say that artists are becoming more and more adventurous in their works—and much of this is due to deriving inspiration from AI-generated references rather than, for example, Pinterest images.
Designers can try to enhance their skills at working with neural networks. However, the demand for design professionals will not disappear. We’ve simply gained another tool that we could use in our work, nothing more. Here, we have reviewed the top neural networks for designers and provided recommendations to make professionals’ work easier and more productive.
