Neural networks for generating visual content

Author of the article: Kristina Kurdyumova

Product Mentor, Product Manager Avito

Visual content has a huge impact on how a product is perceived. Vivid images, stylish illustrations, and eye-catching videos can significantly increase the appeal of your product in the market. And while some brands spend a lot of money and time on filming, models, editing, and filmmakers, others are making a fortune by being AI pioneers. Simultaneously, saving budget, nerves, and time.

According to HSE data, as of September 2023, 65% of Russian companies have already used neural networks in their work or tested them for potential applications.

Over the past year, neural networks have made the lives of companies dozens of times easier, because neural networks can analyze past creatives, campaigns, indicators and generate new ideas based on data, for example, ChatGPT or YandexGPT. Having selected and prioritized ideas, they can be quickly implemented using other neural networks and get ready-made visual content in 5 minutes. They not only speed up the process of creating visuals, but also offer innovative solutions that would be difficult to implement using traditional methods.

In this article, we will consider how modern neural networks, including Russian developments such as Kandinsky, Shedevroom, and international neural networks: Leonardo AI, can help in creating high-quality visual content.

International neural networks

DALL-E: A Powerful Tool from OpenAI

DALL-E, developed by OpenAI, is one of the most well-known and advanced neural networks that generates unique images based on text queries. This neural network can create everything from simple icons to complex scenes, including fantasy or abstract elements. DALL-E is especially useful for marketing and advertising, where it is necessary to create visual content that not only attracts attention but also conveys complex ideas and concepts.

Midjourney: New Generation Artistic Images

Midjourney is another powerful neural network that specializes in creating artistic images. This platform allows you to generate images in various artistic styles, from realism to abstraction. Midjourney is especially in demand among designers and artists working in areas that require unique visual execution, such as concept art or illustration.

Stable Diffusion is an image generation tool that stands out for its ability to create realistic and high-quality visuals. This tool is suitable for creating advertising banners, interface designs and other materials that require a high level of detail and professional execution.

Leonardo AI is one of the most innovative tools in the field of visual content generation, offering a unique opportunity to not only create images, but also animate them, turning them into short videos. This tool is especially interesting for those working in areas that require the creation of animated content, such as marketing or app development.

Personally, I love this neural network. Absolutely anyone can figure it out, the main thing is to write an accurate prompt.

Russian neural networks are not lagging behind and are also opening up new horizons in content generation

In recent years, several powerful neural networks have emerged that can compete with Western counterparts and offer unique opportunities for content creation.

Kandinsky: Russian analogue of DALL-E

Kandinsky, developed on the basis of Sber technologies, is the Russian analogue of DALL-E and offers similar functions for generating images based on text descriptions. Named after the famous artist Wassily Kandinsky, this tool allows you to create visual content in various styles, from classical to contemporary art.

Kandinsky can be useful not only for artists and designers, but also for product managers who need to quickly create high-quality visual materials for their projects.

Often, the key role in the work of a product manager is the ability to present your ideas and solutions in a way that is understandable and attractive to all participants in the process. Presentations should be easy, visually interesting and memorable in order to effectively convey the main messages. To create such visual materials, I use Kandinsky – a tool that allows you to generate high-quality images [но иногда, могу застрять в промте – потому что очень важно прописать детально что я хочу].

“Shedevroom”: Universal service from “Sber”

“Shedevroom” is a multifunctional service developed on the basis of the YandexGPT neural network and supported by Sber. This tool allows you to generate various types of content, including images, texts and even short videos. “Shedevroom” is especially useful for creating advertising and marketing materials, as well as for generating unique illustrations and designs. The advantage of this service is its versatility and flexibility, which makes it an indispensable tool for product managers and marketers.

Application of neural networks in business and product development

The use of neural networks in business and product development provides significant advantages, especially in the field of visual content creation. These technologies allow to reduce the time for content production, improve its quality and offer new formats of interaction with users.

Neural networks such as Kandinsky, Shedevroom, and Leonardo AI enable product managers to quickly prototype, develop concepts, and test new ideas. And marketing teams can use neural networks to quickly generate visual materials such as banners, ad posts, and videos. This not only speeds up processes, but also allows for the creation of personalized content for different audience segments, which increases customer engagement and loyalty.

Challenges and Prospects of Using Neural Networks

Despite all the benefits, the use of neural networks also comes with certain challenges, including issues of quality, ethics, and copyright.

Content quality and originality. While neural networks can generate impressive images and videos, they can sometimes create content that feels mechanical or repetitive. It’s important for product managers to ensure that the content they create remains unique and on-brand.

The Future of Neural Networks in Content Generation

Neural network technologies continue to evolve, and in the future they will become even more powerful and versatile tools for product managers and designers. Tools like Leonardo AI are expected to integrate with other platforms to create comprehensive solutions that include content generation and animation, data analysis, and automation of marketing processes.

Neural networks for generating visual content open up new opportunities for product managers and businesses to create high-quality and unique visual materials. From Russian developments such as Kandinsky and Shedevroom to international leaders such as DALL-E and Leonardo AI, these technologies are changing the approach to design, marketing, and product development. It is important to stay up to date with the latest advances in this field and effectively use them in your work to gain a competitive advantage in the market.

In conclusion, we invite everyone to the upcoming open lessons on the following topics:

• August 15: “The Art and Science of AI Image Generation.” In this lesson, we'll dive into the field of AI by exploring four cutting-edge image generation techniques: generative adversarial networks (GANs), variational autoencoders (VAEs), autoregressive models, and diffusion models. We'll talk about how these technologies are changing the way we create visual content and the opportunities they open up for creativity and innovation. Sign up via link

• August 22: «“Generating images from text using diffusion models”. We will study how diffusion models work by adding noise to data and then learning to remove it, allowing us to create high-quality images from text. We will discuss the future of diffusion models and their impact on the future of image generation from text. Sign up via link