The version of you that the world agrees on.
We do not edit photographs. We reconstruct them. A diffusion model trained on lab-grade infrastructure produces between sixteen and thirty-two candidate images per upload. A ranking engine — modeled on the principles that govern visual recommendation at internet scale — selects the six that perform best in the environments where you will be evaluated.
BUILT ON FLUX · TRAINED ON LAMBDA LABS · IDENTITY-PRESERVING · OFF-CHAIN GENERATION
Nous reconstruisons. Nous n'éditons pas.
Kiss.photography is not a photo editor. It is a socio-aesthetic prediction engine that happens to produce photorealistic imagery as its terminal output. The diffusion model is the rendering layer. The ranking engine is the product.
Lyrisme Opérationnel
Every output is composed like a portrait — readable, sensible, and oriented toward decision. Beauty serves the metric.
Formes Artisanales
Sixteen to thirty-two candidates per upload. Identity-preserved within a measured embedding threshold. Ranked by a composite function with four weighted signals.
Maison Intégrée
Generation, ranking, training, and delivery are operated in-house on Lambda Labs infrastructure. No third-party generation. No custodial wallets. No drift.
The ranking engine learns the version of you that wins.
The diffusion model produces options. The ranking engine decides which options matter. Every selection, reorder, deletion, and dwell time becomes training signal. The system learns which version of you performs, specifically, over time.
Observer
Patterns of selection, captured precisely.
Suggérer
Candidates proposed in cadence, ranked by composite score.
Affiner
Outputs become sharper with every cohort retraining cycle.
Système d'Identité.
An ArcFace-derived encoder produces a high-dimensional embedding from your source images. Generation is constrained to remain within a configurable distance from your embedding. Identity is preserved by mathematics, not by approximation.
- Embedding distance threshold per context
- Rejection sampling before ranking
- Empirically-tuned recognition rates
Une orchestration complète, de l'image source à la livraison.
01
Ingest
Upload three to twelve source images. Face detection, geometric normalization, identity embedding extraction.
02
Generate
FLUX produces sixteen to thirty-two photorealistic candidates per input, each identity-consistent.
03
Rank
Composite function evaluates aesthetic, engagement, identity, and diversity. Top six selected.
04
Deliver
Outputs arrive in your atelier within ninety seconds. Your selections train the next cohort.
The engine is the product. The model is the rendering layer.
R = w₁·Aesthetic + w₂·Engagement + w₃·Identity + w₄·Diversity
Aesthetic
w₁
A CLIP-based evaluator scoring compositional and aesthetic quality, trained on large-scale preference datasets.
Engagement
w₂
A learned ranking model predicting which candidates perform best in profile environments, refined per cohort.
Identity
w₃
Embedding-distance constraint ensuring outputs remain recognizable to humans at empirically validated thresholds.
Diversity
w₄
Determinantal point process penalty preventing redundancy across the selected six-image set.
Built like a laboratory. Operated like a private studio.
Our stack is selected for control, not convenience. FLUX runs on dedicated Lambda Labs H100 endpoints under our orchestration. PostgreSQL holds the operational record. A vector database holds the embeddings. Object storage holds the images. Blockchain — if it appears at all — appears only as an optional audit ledger on Polygon, never in the critical path.
Composition
FLUX.1 by Black Forest Labs. LoRA + adapter fine-tuning. Identity conditioning via cross-attention.
Précision
Lambda Labs H100 cluster. FSDP-sharded distributed training. Quarterly fine-tune cycles.
Pérennité
Off-chain generation. Non-custodial credit model. Optional Polygon ledger for auditability.
Trois niveaux. Admission par cohorte.
STANDARD
500
approximately 80 image generations
- —FLUX generation pipeline
- —6-image deliverable set
- —basic ranking engine
- —standard support
- —30-day asset retention
PRO
2,000
approximately 320 image generations
- —everything in Standard
- —priority queue
- —contextual adapter selection
- —extended ranking signals
- —90-day retention
- —priority support
ATELIER
10,000
approximately 1,600 image generations
- —everything in Pro
- —dedicated GPU allocation
- —custom LoRA on your image library
- —named studio contact
- —indefinite retention
- —white-glove onboarding
We are not in the business of making people look better. We are in the business of predicting which version of a person performs best in the environments where they will be evaluated.
L'admission est limitée. La liste d'attente ne l'est pas.
Cohort 01 opens in Q3 2026. We will not email you until your invitation is ready. No marketing. No reminders. No follow-ups.
NO MARKETING · NO REMINDERS · NO FOLLOW-UPS