Pipeline Architecture

THE STUDIO MUNICH PIPELINE.

Pattern in. Fabric drapes properly. Our system fixes its own mistakes. Every shot ships with a signed sustainability number.

The Four Stages

01

Your Pattern, Parsed

We take your designer's DXF pattern file and turn it into a real physics model. 15 fabric presets. Bend stiffness, drape, seam tension — all from the actual pattern, not a guess.

  • DXF/DWG parsing
  • 15 fabric presets
  • Spring-mass simulation
02

FLUX Renders the Scene

FLUX renders the scene with the fabric draping the way fabric actually drapes. The model is bound to your pattern — it physically can't invent geometry.

  • FLUX 1.1 Pro
  • Pattern-bound inference
  • MIRE 7-layer mood profile
03

The System Self-Corrects

Three rounds of self-correction. Each round: render → check → fix → re-render. Only escalates to a human reviewer when the system genuinely can't converge.

  • Critic agent loop
  • Max 3 cycles
  • Human handoff on failure
04

Signed, Bound, Delivered

Every approved shot is bound to a signed sustainability cert and the client consent record. Tamper-evident. The numbers your ESG report needs, baked in.

  • SHA-256 signed cert
  • VoiceIDVault consent binding
  • Public verification endpoint

The Correction Loop

Inside the correction loop.

What happens between Stage 02 and Stage 03 — three times if needed, never more.

Cycle 01
Render
Critic
Diff
Re-render
iterate
Cycle 02
Render
Critic
Diff
Re-render
iterate
Cycle 03
Render
Critic
Diff
Re-render
iterate
Human Review

Three cycles. No fourth attempt. If the system can't get it right, a human reviewer takes over with the full context.

Consistency Engine

Neural Lock.

Three tiers of constraint. The pipeline picks the strictest one your brief demands.

Tier 1

Garment Lock

Fabric texture, drape, and color held constant across infinite backgrounds. The product never drifts.

Tier 2

Face Lock

Likeness preservation across poses, lighting, and environments. Identity stays pixel-perfect.

Tier 3

LoRA Lock

Full digital twin with trained LoRA model. Your trigger word generates you in any context, forever.

Fallback Protocol

When we need human eyes.

Self-correction isn't perfect — when the system can't converge in 3 rounds, the job goes to a human reviewer with everything they need: your brief, the pattern, the failed renders, the system's own notes on what went wrong. Review takes seconds, not minutes.

VoiceCosmos — Design Director

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Studio Munich Assistant
VoiceCosmos
Studio Assistant
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