The only product on the site. One tool, operated by you: upload a product photograph, make a handful of choices, and generate consistent brand images that stay locked to your product and your aesthetic.
02Overview
DIP is not a prompt box. It is a controlled prompt engine for eyewear brands.
We do not make your images. We give you a tool that is prepared, trained, tested and structured so the AI image model returns an accurate result every time — not a lottery ticket.
What DIP actually does
You make the creative decisions through structured dropdowns — story, model, director style, aesthetic, camera, scene, output. DIP translates those choices into precise, stress-tested instructions the AI image model understands. The product stays locked. The result stays consistent.
Who DIP is for
DIP is built for eyewear brand teams, not prompt engineers. You bring the creative direction. DIP brings the standards, the guard rails and the tested prompt structure that make the AI image model behave.
03The Binding Contract
The Lock Sheet, explained
The Lock Sheet is a structured spec that captures everything about your product and your desired aesthetic. It is not a prompt. It is a machine-readable contract that ensures every generated image stays true to your brand and your product.
What it captures
Product geometry mesh (sub-pixel accuracy)
Surface material properties and light response
Brand identity marks and placement rules
Dimensional specifications (scale-locked)
Aesthetic system parameters (lighting, palette, mood)
Composition language and framing rules
How it travels
Embedded in every generation request
Validated against the 85-point rubric
Version-controlled per campaign
Exportable for brand compliance audits
Immutable once signed off
What it prevents
Product shape drift between frames
Brand mark hallucination
Colorway inconsistency
Scale distortion
Style contamination between campaigns
04Quality Assurance
The 85-Point Standards Rubric
Every image passes the same craft test we would apply in a real studio. Before any frame reaches you, it has been evaluated across six categories totaling 85 individual checks. This is not AI slop. This is studio craft, systematized.
Surface & Material
15 pts
Acetate grain direction correct
Titanium brush pattern accurate
Lens material properties match
Surface reflections physically plausible
Transparency and refraction correct
Scale & Proportion
15 pts
Frame width matches spec
Temple length accurate
Bridge width correct
Lens diameter faithful
Overall proportions consistent
Geometry & Structure
15 pts
Frame angles match original
Hinge placement correct
Curvature data accurate
Nose pad positioning faithful
Temple bend angle correct
Brand Identity
15 pts
Logo placement exact
Engraving details present
Brand marks unaltered
Colorway matches spec
Model name visible where applicable
Aesthetic Consistency
15 pts
Lighting system applied correctly
Palette matches chosen aesthetic
Mood maintained across set
Composition language consistent
No style drift within campaign
Technical Quality
10 pts
Resolution meets delivery spec
No artifacts or noise
Edge definition sharp
Color space correct
85
Points of inspection per image
05How the backend translates your choices
DIP is not a wrapper around a text box. Every dropdown choice runs through a fixed translation layer built specifically for eyewear. That layer has four parts.
1. The Lock Sheet — the contract
Before any prompt is written, your product uploads (front, three-quarter, side, detail) are analyzed and frozen into a binding spec: frame geometry, bridge width, temple shape, lens tint, surface material, logo position, hinge detail, colour values. This spec is injected into every prompt as non-negotiable text. The AI image model is not allowed to reinterpret the frame. No melted hinges. No invented logos. No colour drift.
2. The 85-point Standards rubric — the guard rails
Every generated prompt is checked against 85 eyewear-specific rules before it leaves our system. Examples:
Frame must occupy the upper third of any close-up.
No facial feature may cross or distort the frame line.
Reflections on the lens must match the described light source.
Wardrobe must not compete with the frame colour family.
Camera distance must respect the lens focal length — no 24mm faces.
Hands near the face must not occlude the bridge.
If a prompt fails any of these, the backend rewrites it before the AI image model ever sees it.
3. The translation dictionary — the precision
Each dropdown choice maps to a tested string of technical instructions, not a vibe word.
Example — Camera · Intimate Portrait
85mm equivalent focal length
subject distance 1.2 metres
eye-line aligned to upper third
shallow depth of field, frame sharp throughout
single soft key light, 45 degrees camera-left
controlled catchlight in lens
slow head turn, no rapid movement
product remains in focus across full motion arc
Example — Aesthetic · Sun-Bleached Coastal
natural daylight, 5600K
softened contrast curve
light salt-air haze, 8% diffusion
matte skin finish, no specular highlights on cheekbones
clean neutral reflections on lens
no neon, no saturated primaries
relaxed pacing, ambient movement
wardrobe palette restricted to bone, sand, washed indigo
The user picks one word. The backend sends the full paragraph. Change one dropdown and only that paragraph is rewritten — the Lock Sheet, wardrobe, framing and product stay frozen.
4. Stress-tested prompt assembly — the part nobody else does
Every combination of Story × Director × Aesthetic × Camera × Scene has been run, reviewed, corrected and re-run inside our studio. The prompt structure that reaches the AI image model is the version that survived that testing — not a fresh guess assembled at click-time.
This is why DIP delivers an accurate result instead of a lottery ticket. The brand makes the creative decisions. DIP handles structure, precision, and protection of the product.
06Not a prompt box
Curated aesthetic systems
Every aesthetic system in DIP was authored by us — not scraped, not generated, not crowd-sourced. Each one was engineered against the 85-point rubric to ensure it produces campaign-grade output. The customer picks from a dropdown. Behind the dropdown is a system.
Neo Futurism
Sharp metallic, chrome, shadow
Surrealism
Dreamlike, impossible, ethereal
Biomorphism
Organic, natural, soft
Solarpunk
Golden hour, nature, optimism
Constructivist
Bold angles, industrial
Color Field
Monochrome, tonal, minimal
Neo Classicism
Painter light, directional, timeless
07Trait-based, not likeness-based
Curated model archetypes
Our model archetypes are built from trait specifications — bone structure, posture, expression language — not real-person likenesses. This means they are consistent across a campaign, legally safe, and endlessly reusable.
The Intellectual
Sharp, focused, angular
The Provocateur
Bold, confrontational, raw
The Minimalist
Clean, serene, understated
The Aviator
Confident, open, adventurous
The Visionary
Dreamy, distant, forward-looking
08Why a generalist LLM cannot do this for you
Same starting point. Same ending tool. Two different roads.
Same starting point. Same ending tool. Two different roads.
The LLM writes a prompt that sounds professional. DIP writes a contract the AI image model cannot break — because we know eyewear, and the LLM does not.
09The Invitation
Ready to stop playing the lottery?
Upload one product photograph. Make a few choices. See what DIP generates in an afternoon.