Tools for fast creative processing: TOP 5 neural networks for arbitrageurs in 2025
- levidkerington
- Dec 1
- 7 min read
In 2025, arbitrageurs work at a constant speed: creatives need to be generated quickly, adapted to different platforms, and instantly launched into tests. Neural networks have become a key tool in this process – they help create photos, videos, and banners in minutes, save money, and allow you to find working connections much faster. If you work with Nutra vertical or other areas, using AI is not just an advantage, but a prerequisite for effective work.
Why neural networks are a must-have for arbitrageurs
Neural networks meet one of the most important needs of arbitrageurs: the rapid preparation of large quantities of creative content. The automation of routine tasks allows dozens of variations of a single visual to be created in a matter of minutes, adapted to different formats, platforms, and audiences. This saves time that was previously spent on manual Photoshop work or designers' work and allows you to focus more on testing, analytics and scaling. This pace directly affects the effectiveness of launches, as the rapid preparation of new advertising materials accelerates the "idea → test → optimisation" cycle.
In the Nutra vertical, speed is crucial: the sooner you test a new connection, the more chances you have to beat your competitors. Here, neural networks give you a clear advantage, as they allow you to quickly adapt other people's creatives, create unique scenes, and form entire packages of materials for different GEOs. If you are just starting to work in this area, it is worth understanding what Nutra is in order to understand how AI helps to speed up work at each stage of the funnel. You can go to the ENSO blog and read useful and interesting articles about the various features and effective earning opportunities of the Nutra vertical.
How we chose neural networks for our TOP 5
Selecting tools for arbitrage requires clear criteria, because not every neural network is suitable for creating advertising creatives. In 2025, it is important to consider not only the technical capabilities of the models, but also the practical aspects of their work: how quickly the tool generates results, how stable its quality is, whether it is suitable for different formats, and whether it is convenient to use in the daily work process. That is why we tested dozens of models to evaluate them in real-life arbitration conditions — from creation from scratch to adaptation for moderation. Here are the main criteria used to form the TOP 5:
Generation speed. The time required to create a photo or video.
Image and texture quality. Realism, detail, and facial accuracy.
User-friendly interface. Easy to use even without design experience.
Support for different formats. Banners, vertical videos, square creatives, covers.
Ease of use for beginners. Ready-made presets, minimal requirements for prompts.
These criteria allowed us to objectively evaluate each tool and highlight those that provide stable results in the daily work of an arbitrageur. Each neural network from the final list is suitable for both creating unique creatives and adapting existing ones, making them universal for working with different verticals, including Nutra.
TOP 5 neural networks for creating and processing creatives in 2025
In 2025, arbitrageurs need to work quickly and on a large scale, so neural networks have become the main tool for creating photo, video, and banner creatives. They allow you to generate dozens of variations of a single idea, adapt them to different platforms, and avoid repetitions that can lower CTR or cause moderation issues. Each model on this list has its strengths and is suitable for specific tasks, from unifying other people's creatives to generating a completely new scene.
We tested the five best tools that deliver consistent results in real-world arbitrage conditions. Their capabilities vary: some provide top-notch detail, others offer fast video processing, and some feature a user-friendly interface for beginners. Together, they form a universal set of tools that can meet all the needs of an arbitrator — from initial generation to preparing creatives for moderation. So, here are the top 5 neural networks for working with creatives in 2025:
Midjourney 6. Ideal for highly detailed photos and realistic scenes. Strengths: accuracy, variability, quality of faces. Weaknesses: more complex entry threshold and lack of a full-fledged web editor. Suitable for creating basic photo creatives and stylised scenes.
DALL·E 4 (OpenAI). Best for spot edits. Can change individual elements without distortion, works consistently with hands and textures. Weaknesses: sometimes overly "smooth" frames. Suitable for unifying and adapting other people's creative work.
Runway Gen-3 Alpha. A top-notch tool for vertical format videos. Provides smooth movements, realistic emotions, and fast generation. Cons: sometimes requires more resources. Suitable for TikTok, Meta, YouTube Shorts.
Adobe Firefly 2. An intuitive editor for banners and UI elements. Strengths: text editing, integration with Photoshop, ease of use. Weaknesses: sometimes creates overly clean and corporate-looking frames. Suitable for banners and adaptations.
Leonardo AI. A flexible tool with a large library of styles. Strengths: versatility, ability to work with different genres. Weaknesses: the interface is more complicated for beginners. Suitable for teams that test many styles and formats.
Each of these neural networks plays its own role in the creative process. Midjourney creates the foundation, DALL·E unifies and edits, Runway converts photos into videos, Firefly helps with banners, and Leonardo adds stylisation and variations. Together, they form an effective "creative pipeline" that significantly speeds up work and increases productivity.
For arbitrageurs, this means less routine work and more time for testing, analysis, and scaling connections. In 2025, the winner will be the one who adapts to change faster, and neural networks provide just that flexibility.
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How to integrate neural networks into working with Nutra offers
The integration of neural networks into Nutra-oriented work allows you to create a complete pipeline in which each stage works quickly and smoothly. Generating and processing creatives takes just a few minutes, allowing you to immediately prepare several options for different platforms and audiences. This is especially important at the start, when you need to test as many connections as possible in a short period of time and understand which approach works best.
Rapid progress is complemented by ready-made offers provided by the ENSO TRAFFIC affiliate programme. Having proven options with high-quality input data is a significant advantage, as you don't have to spend time searching for and verifying offers yourself. If you need a selection of current offers, check out the "Nutra Offers" page on our ENSO website. Here you will find current and attractive offers that are already showing stable results in various GEOs.
Once the creatives are ready and the offer is ready to launch, tracking and analytics come into play. Neural networks significantly reduce preparation time, but it is tracking metrics that allows you to make quick decisions: turn off unprofitable options, scale working connections, and adjust delivery. With the combination of "creatives + offers + analytics," the arbitrageur gains complete control over the process and can launch a Nutra campaign in a matter of hours rather than days.
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Tips for maximum efficiency: secrets of arbitrageurs
Effective work with neural networks in arbitration begins with the right chain of actions. The idea must immediately be transferred to generation through a neural network, then to a quick test, then to detailed analytics, and only after that does the launch move on to scaling. This approach helps to avoid chaotic decisions, minimise costs, and understand which creative format works in a specific GEO or for a specific audience. Most of the budget is wasted due to a lack of understanding, because when you need to update creatives, and sometimes change the approach or the offer itself.
To avoid wasting money on unnecessary tests, it is important to structure your work and keep each stage under control. Neural networks simplify generation, but the final result still depends on how you analyse data and make decisions. The faster you respond to metrics, the less money you waste. Here are some tips to help you avoid wasting your budget:
run tests in small batches, rather than all creatives at once;
don't wait too long: analyse CTR and CPC within a few hours of launch;
work with several creative styles to find a working approach faster;
update visuals if performance drops — don't delay;
base your decisions on clear metrics, not intuition or emotions.
A competent approach to testing with clear financial boundaries allows you to work predictably and consistently. When each stage — from conception to scaling — is structured, and neural networks cover part of the routine processes, the arbitrageur gets maximum results without unnecessary costs.
Get started effectively with ENSO TRAFFIC!
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Conclusion: is it worth using neural networks in 2025 and why right now?
In 2025, neural networks will become a natural part of the arbitrageur's workflow: they speed up creative preparation, provide flexibility in testing, and help to work systematically with offers. The combination of rapid generation, clear analytics, and a structured approach creates a stable foundation for launches in any vertical. Using AI right now makes it possible to work faster, scale more confidently, and get results in less time.
FAQ
Is it possible to create unique creatives for moderation using only neural networks?
Yes. Thanks to precise editing and variability, you can get unique frames. But it is important to test different styles and not use one concept for too long.
Is it possible to promote Nutra without video creatives?
You can, but videos give a higher CTR. For example, Runway Gen-3 allows you to create moving scenes for different platforms, which makes tests more effective.
What is the minimum set of tools a beginner needs?
Midjourney + DALL·E is enough to get started. They cover generation, adaptation, and customisation. For videos, you can add Runway.
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