Prompt architecture
Modular prompt systems with locked stylistic tokens, negative sets and seed strategies documented per brand.
AI visual production studio
Commercial imagery, engineered to repeat itself.
NeuralCanvas Studio turns a vague creative vision into precise prompt architectures, tuned ControlNet pipelines and trained LoRA models — so your brand looks identical across the ten-thousandth asset as it did across the first.
12k+
Assets delivered per quarter
94%
First-pass approval rate
6 days
Median pilot turnaround
The problem we solve
Generative tools drift. Brand systems cannot.
Left unconstrained, a diffusion model reinvents your product on every run — the label shifts, the lighting warms, the silhouette softens. We remove that variance at the pipeline level rather than fixing it in retouch.
- Reference sheets and attribute maps derived from your existing catalogue
- Seed, sampler and CFG schedules locked per shot family
- Structural conditioning so composition survives regeneration
- Batch QA against tolerance thresholds before anything ships
Capabilities
Four disciplines, one production line.
ControlNet node tuning
Depth, canny, pose and segmentation stacks tuned per shot type so composition survives every regeneration.
LoRA model training
Custom LoRAs trained on your product, packaging or talent library, with rank and weight schedules tested against a holdout set.
QA and derivative delivery
Automated artifact review, colour profile checks and crop variants exported for every placement you run.
How we work
A pipeline you can audit, version and rerun.
01 — Visual audit
We deconstruct your existing catalogue into measurable attributes: lens character, lighting ratio, colour temperature, prop language and crop grammar.
02 — Pipeline build
Midjourney and Stable Diffusion routes are assembled with ControlNet conditioning and, where the subject requires fidelity, a dedicated LoRA.
03 — Scale and govern
Approved pipelines ship as versioned recipes with rights documentation, so your team reproduces the look without re-briefing us.
FAQ
Questions we hear before a pilot.
Bring us the catalogue you cannot shoot twice.
Send your reference set and volume target. We reply with a pipeline outline, a pilot scope and a fixed timeline — usually within two working days.
Start a project