Why consistency is the hard part
Ask a typical AI app for your mascot twice and you will often get two cousins of the same character. The ears change, the outfit shifts, the colours wander. One image for one post is fine. A month of campaign graphics, a seasonal set or a product range that has to match is a different job.
Brands are recognised by repetition. When your character or product looks the same in every post, banner and email, people start to know it at a glance. That is what this service is built around.
The methods, explained simply
No single trick solves it. We combine a few, depending on what needs to stay the same.
- Training a small custom model, called a LoRA, on a set of pictures of your product, character or style, so the AI learns what it looks like
- Feeding in reference images each time, so the AI copies details from your real pictures; for example, as of October 2026 Google's Nano Banana 2.1 accepts up to 14 references at once (Gemini API)
- Controlling pose and layout with a guide image, a technique called ControlNet, so a character stands where we want or a product sits in the same spot
- Editing finished images by hand to fix small slips, such as a wrong button or stray text
Built as a reusable workflow
We put these steps together in ComfyUI, an open-source tool where each step is a box joined to the next, a bit like a flowchart. Once the chain is set up for your brand, it can be run again with new scenes or seasons, and the results stay in the same family.
That workflow belongs to the project, so future images can follow the same recipe. If your own team or agency wants a setup like this to run in-house, our ComfyUI workflows service covers building and handing it over.
Your brand added by a designer
AI is still unreliable at spelling and at exact logos. So we do not ask it to write your name or draw your logo. A designer adds those afterwards, along with your brand colours, headline fonts and layout for each size, from Instagram squares to web banners.
This step also matters for ownership. In the EU, copyright depends on human creative input, and a prompt alone is unlikely to be enough (European Parliament briefing). Real design work on top of the AI output gives your final images a stronger human hand. This is general information, not legal advice.
Labels and real products
The EU AI Act asks businesses to label deepfakes, meaning realistic images of real people, places or events. A cartoon mascot on a summer banner is unlikely to fall into that group, but a lifelike scene of a real Valletta street might, depending on context. We flag images that may need a label so you can decide. This is general information, so check the European Commission guidelines for your case.
For real products, we prefer starting from your actual photos so labels and proportions stay true. Our AI product photography page explains that approach.
Who it suits
It fits businesses with a mascot or character, product ranges that need matching campaign images, venues that post themed content every week, and agencies that want a dependable look across client work. If you only need a handful of images a year, a simpler one-off edit may be enough. Tell us what you have in mind through /start/ or WhatsApp.