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Research model that generates animation-ready stylized hair cards and spring-bone chains from a single character image.

Available in EU3D & WorldsModel

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HairDeck at a glance

What is HairDeck?
HairDeck is a model. Research model that generates animation-ready stylized hair cards and spring-bone chains from a single character image.
Does HairDeck work in the EU?
Available in the EU. Reported as Apache 2.0 open code and weights that can be run locally, with no regional restriction in the license; the repository itself was not in the provided material. Last verified 14 Nov 2026.
How much does HairDeck cost?
Open source, open source. Reported by a YouTube reviewer as released free under Apache 2.0; not verified on the provided pages. Licence: Apache-2.0.
Where was HairDeck shown?
In 1 creator video by AI Search. Most recently by AI Search on 8 Nov 2026, at 0:52 in “Weight space programming, new 3D models, Gemini Omni 1.2, GPT Image 2.6: AI NEWS”.

Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.

About

HairDeck is a research method for generating stylized hair for game and avatar characters from a single image. Instead of producing realistic strands or one fused mesh, it generates hair cards, the artist-style ribbons whose geometry forms the visible hair, together with the spring-bone chains that animate them.

Each card is encoded as one token covering geometry, root position and orientation. A set diffusion transformer denoises all card tokens jointly, conditioned on an image or a point cloud. A second transformer generates spring-bone chains, and geometric skinning binds the cards to them. The output carries per-card UVs and spring bones and can be exported as a VRM avatar.

According to the project page, on the test set of CHARM (the prior stylized hair-card generator) HairDeck reduces Chamfer distance by 44%, cuts card-orientation error by more than half, and generates cards 33 times faster. It also outperforms CHARM, image-to-3D pipelines and strand-based methods on single-image input. A YouTube review reports code and a roughly 2.45 GB model under Apache 2.0 that run on Nvidia and Apple Silicon; the repository link was not in the provided material. Hair colors in the demos are sampled from the input images.

Key features
  • Single image to stylized hair cards
  • Set diffusion transformer generates all cards jointly
  • Generates spring-bone chains for animation
  • Per-card UVs and VRM avatar export
  • Accepts image or point-cloud conditioning
1 moment

As seen on YouTube

Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.

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