Guide Neural network for photo generation: which one should I use?

[nikokik]

Forget about complex programs — just describe the idea, and the AI will create an image. In this article, I'll talk about 5 neurons that turn your text into cosmic landscapes, surrealism, or even memes.

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Stable Diffusion​

Stable emerged as a democratic response to the demands of the creative community. Its main feature is the open source code, which allows anyone not only to use the model, but also to refine it to suit their needs. Imagine a design student who, instead of searching for stock images, creates them himself, describing the idea in a text field. The neural network draws mountain landscapes with flying whales or portraits of people in the retro-futurist style, as if reading minds. But StableDiffusion is also an AI for experimentation. Artists train it on their work so that the algorithm adopts their style, becoming a digital extension of their creative self. At the same time, issues of copyright and ethics remain acute: who is the owner of the image — a human, a neural network, or both?

Kandinsky​

The name Kandinsky refers to the heritage of the Russian avant-garde, and this is not accidental. Developed by SberAI, the model aims to combine modern technology with the aesthetics of the past. It's like she's having a dialogue with Wassily Kandinsky, inviting users to create abstractions that balance chaos and harmony. One example is a project where a neural network "revived" the artist's sketches, turning them into dynamic animated canvases. Kandinsky is also known for her ability to work with rare languages, including Russian, which makes her closer to the local context. For many, it has become a bridge between traditional art and the digital age, where everyone can feel like an heir to great masters.

"Masterpiece"​

Yandex launched Masterpiece not just as a neural network, but as part of its ecosystem. The model is integrated with Alice's voice assistant, which allows you to literally talk to the neural network: "Draw me an Impressionist sunset over Lake Baikal" — and in a minute the picture is ready. This makes the technology accessible even to those who are far from digital art. Teachers use Yandex AI in their lessons to visualize historical events, and bloggers use it to create unique content. However, the model also has a special feature: it is trained on data taking into account the cultural characteristics of the region, so it understands queries like "hut on chicken legs" or "matryoshka in space" better.

Chad AI​

Chad AI stands out not only by its name, but also by its approach. This neural network is designed to create images with a vivid emotional component. If most algorithms strive for realism, then Chad is willing to break the rules. She can draw a cat in a superhero costume that cries like a rainbow, or a city of the future where buildings grow like mushrooms. The developers call it a "rebel" in the world of generative models. That's why Chad is popular among meme creators and comic book authors — those who are looking for non-standard visual solutions. But behind the cheerful facade lies a complex architecture that learns from contrasts, combining the incongruous.

Exactly​

The name Exactly speaks for itself. This neural network focuses on details, allowing you to create images with photographic accuracy. If the user needs a portrait of a girl with a raindrop on her eyelashes or a split-up watch mechanism, Exactly will do better than many. The secret lies in training on highly specialized datasets, where every little detail is important. Architects use it to visualize projects, and scientists use it to model hypotheses. However, accuracy comes at a price: the neural network requires detailed descriptions and does not work well with abstract queries.

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Conclusion​

I shared with you information about neural networks that create images.: how they work, what features they have, as well as their pros and cons. If you still have any questions, do you have any additions, or do you know other neural networks for generating photos? I will be glad to discuss this in the comments. And if suddenly I didn't mention some interesting tool, tell me about it! This way we can put together a useful collection for everyone.