This project is a full node-based AI fashion pipeline capable of extracting clothing from editorial photoshoots and delivering e-commerce ready images with full quality and accurate pattern preservation. The same garment can then be placed into cleaner studio settings on a virtual model, adapted to whatever the final output needs to look like.

The pipeline runs from a single source image through a series of nodes that describe, generate, edit and refine imagery at each stage. The front view output becomes the master reference that anchors every following node: custom views, close ups and a fabric detail crop with accurate pattern reproduction and no seam interference.

The whole thing is built to be reusable. Swap the source image, run the describer, and every downstream node updates without rewriting a single prompt.

A separate branch of the pipeline handles model consistency. A multi-angle face reference sheet is processed into a precise physical description, which feeds a full body base generation built to exact specifications: pose, proportions, skin tone, and anatomy all locked before the garment is ever introduced.

An Edit Image node then composites the dress onto the model without touching the face, hair, or body proportions. The result is a consistent virtual model that can be reused across every garment in the collection, shot after shot, without drift.

From there, the model can be placed into different studio environments depending on what the output needs to be. A clean neutral background for standard e-commerce. A styled set for lookbook use. A location-based composite for editorial. The environment changes, the model stays consistent, and the garment always fits the same way.

The same logic applies across the board. Different garments, different models, different settings — all running through the same pipeline structure without rebuilding anything from scratch.