Until recently, connecting a foreign neural network to a Russian project often turned into a small adventure. It was necessary to find out whether the service was available from a Russian IP, look for a suitable payment method, deal with additional accounts, and only then proceed directly to programming. This is especially inconvenient for the developer: the application should work stably, and not depend on whether a VPN is enabled somewhere.
With image generation, the situation is gradually changing. Through Yes AI, developers can access several popular models at once, including Nano Banana and Midjourney. For Nano Banana, an API is offered separately for integration into your own applications and projects, while access through the service is also aimed at working without a VPN. Midjourney also has an option to work without VPN and Discord.
Therefore, the more interesting question now sounds not like “where to run a neural network,” but how to integrate image generation directly into a website, program, Telegram bot or internal working service.
Nano Banana via API: when it is important not only to create, but also to change an image
Nano Banana is interesting primarily because it is well suited for working with existing images. You can take a photograph or illustration as a basis, describe the required changes and get a new version of the picture. The model is used to change scenes, the appearance of objects, stylize photographs, create new compositions based on source materials and generate text descriptions. The ability to work with images and references is also noted in Yes AI’s materials about Nano Banana.
This opens up quite a few scenarios for the developer. For example, a user uploads a photo of a product, and the service automatically creates several card options for the marketplace. Or uploads a photo of a room and gets a visualization of another interior. You can imagine a photo editor, an advertising creative generator, a virtual design fitting service, and an illustration designer.
The Nano Banana neural network API is intended for connection. This approach is convenient because interaction with the model can be hidden inside its own interface. The user does not necessarily need to understand which neural network is running in the background.
Typically the application diagram looks something like this:
- the user enters a description or uploads the original image;
- the project server generates a request to the API;
- the neural network generates or changes the image;
- the application receives the result and shows it to the user;
- if necessary, the image is saved in your personal account, project database or cloud storage.
And here the API turns out to be much more interesting than a regular chat with a neural network. Generation can be turned into part of an automatic process. For example, each new product photo should be immediately processed according to a predefined template.
Midjourney API: visual generation becomes part of the application
Midjourney has a slightly different character. This neural network has long been known for its strong visual presentation: atmospheric scenes, unusual stylization, advertising concepts, characters, interior and architectural visualizations.
Through the Midjourney API, generation can no longer be used as a separate service, which you have to constantly open manually, but as one of the tools of your own project.
This is especially interesting for services where images are created regularly:
- generators covers and illustrations;
- applications for designers;
- content creation services for social networks;
- designers of advertising materials;
- tools for marketplaces and online stores;
- game projects and character generators.
Another interesting point: working with Midjourney through the Yes AI infrastructure does not require the use of Discord and VPN. For the average user this is just convenience, but for a developer something else is much more important. There is no need to build a product around an unusual chain of third-party interfaces. The request is sent programmatically and the result is returned back to the application.
It turns out the usual logic of a modern web service: the user pressed a button, the server made a request, after some time the finished image appeared in the interface.
Nano Banana or Midjourney: what to choose for the project
In practice, I would not consider these neural networks as direct competitors. They rather complement each other.
If the task is built around the original photo, its modification, the combination of several visual ideas, or the precise editing of an existing scene, it is logical to look towards Nano Banana. It's especially interesting where the user's image is the starting point.
Midjourney is at its best when you need to come up with a picture almost from scratch: create a mood, an unusual composition, a concept, a background, a character, or an expressive advertising visual.
There is a third option, which sometimes turns out to be the most reasonable: connect both models. For example, Midjourney creates the initial artistic concept, and further changes to the image are done through Nano Banana. Or the user himself selects the engine immediately before generation.
This approach gives the product greater flexibility. Today a person needs a realistic interior, tomorrow a fantastic cover, and the day after tomorrow he wants to carefully change his own photo.
Why an API if the image can be created manually
If you need to create five pictures a month, the API may indeed be superfluous. It’s easier to open the neural network interface and write a request.
Everything changes when generation becomes part of a business or digital product. Let's imagine an online store with thousands of products. For each, you need to automatically prepare several background options. Or a news project that requires dozens of illustrations every day. Manual work is quickly becoming a job in its own right.
The API allows you to automate this process. The logic is created once, after which the application independently submits tasks to the model.
This architecture is especially useful when you need:
- mass generation of images;
- a single interface for several neural networks;
- automatic processing of user photos;
- creating images directly inside a website or application;
- integration of generation into an existing content management system.
And, perhaps, this is where access from Russia without a mandatory VPN becomes a really noticeable advantage. It’s no longer about opening a neural network once. The server must access it constantly and predictably. The fewer additional technical workarounds there are between the application and the model, the easier it is to maintain the entire project.
As a result, Nano Banana and Midjourney are gradually moving from the category of interesting image generators into ordinary developer working tools. They can be built into your product in much the same way as you once connected cards, payments, SMS or cloud storage. The user sees only the “Create Image” button, and all the complex work happens behind it.
Xrust API Nano Banana and Midjourney in Russia: how to connect image generation without VPN
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