CLIEncoders · AI & Agents
Generative media and creative AI development
The difference between playing with image generation and shipping it is consistency. One good picture is easy; five hundred that all look like they came from the same brand is an engineering problem.
Consistency is the hard requirement
A generic model gives you a different interpretation every time. Commercial work needs the same product, the same style, the same lighting, across a whole catalogue — and prompt wording alone will not get you there.
The tools that do are style-trained adapters, structural conditioning to control composition and pose, fixed seeds and pipelines where each stage is deterministic enough to reproduce. We train LoRA adapters on your products or visual identity so output is recognisably yours rather than recognisably generated.
From a web UI to a pipeline
Most organisations start with someone generating images by hand in a web interface. That works until you need volume, reproducibility, or the same output next quarter.
We build the pipeline version: ComfyUI workflows encoding your process as a graph that runs headless, API endpoints so your own systems can request assets, batch processing with queue management, and versioned workflows so a result from six months ago can be reproduced exactly.
Audio and video, with realistic expectations
Speech synthesis is production-ready and we build with it. Music and sound generation are usable for specific purposes. Video generation is advancing quickly but remains expensive, hard to control precisely, and unreliable for shot-to-shot continuity — we will tell you plainly where it currently is rather than showing you a cherry-picked reel.
Questions
What people ask before starting
Can we use generated images commercially?
It depends on the model's licence and where its training data came from, and the terms differ meaningfully between models. Some open-weight models carry permissive commercial licences; others restrict use. We will identify the licence for whatever we deploy and tell you what it permits. For anything with real legal exposure, take that to your own counsel — we are engineers, not your lawyers.
Will it match our brand exactly?
Closely, with training. A LoRA adapter trained on your assets gets output recognisably in your style rather than generically pleasant. Exact reproduction of a specific product from a specific angle is a different problem, better solved with structural conditioning from a reference image — and sometimes better solved with a camera.
Do you do video generation?
We build with it where the use case tolerates its current limits — short clips, controlled scenes, tolerance for iteration. We will not tell you it is ready to replace a production shoot, because it is not, and shot-to-shot consistency remains genuinely unsolved.
Where does this run?
Either on your own GPUs or on a rented GPU service, and the choice is largely economic. Steady high volume favours owned hardware; bursty or occasional use favours renting. We will model both against your expected volume, since the difference at scale is substantial.
Related
Where this usually connects
Tell us what you are building
One technical call is usually enough to tell you whether this is straightforward, genuinely hard, or the wrong approach entirely. We would rather say so early than quote for the wrong thing.
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