Carbon Garment Workflows

Available in Carbon For Maya and Carbon For Houdini

Simulation and Render meshes

Studios are using garment design programs such as Marvelous Designer / CLO 3D etc., in their workflow and want to import those panel garments into their CFX pipeline
while fashion studios want to bring the those garments into the Metaverse.

The Carbon Garment Workflows provide a very efficient workflow to bring both simulation AND render meshes from the Garment Design Package into the CFX Pipeline.
This creates an easy, fast, low cost path for creating close to final garment simulation and rendering for episodic TV content, and also for pre-viz of Hero Characters in larger productions and garments into the Metaverse.

The Carbon Garment Workflows also provides a prep pipeline for garments heading for VTO simulation and rendering in the cloud.

There are example Carbon Garment Workflows with tutorials for welded mesh garments and there are Carbon Garment Processor nodes for panel garments.

Purchase Carbon for Maya or Houdini

Here are some videos explaining a Carbon Garment Workflow for welded garments
They were recorded in Houdini but are very similar in Maya

Here are some videos explaining the Carbon Garment Processor in action.
They were recorded in Maya but are very similar in Houdini

Garment Processor Workflow

After 12 months of internal development and external beta tests, we released this new workflow in 2021.

The Carbon Garment Processor is a fast and user-friendly all-in-one workflow that empowers you to take paneled garments from the design tool of your choice into Carbon For Houdini and Maya in record time.

The Garment Processor node will guide you through all necessary steps to ensure a smooth and robust setup.

Seamlessly integrated: Our newly developed Carbon Mesh Deformer automatically takes the thin simulated meshes and deforms thick render panels accordingly.

Creating our own Mesh Deformer was a crucial part of the development process to not only ensure that we get the best performance and quality possible, but also to know our output is deterministic on whatever platform you run Carbon on.

And afterall, creating fast and robust technology is what we are all about.