Generates complete 3D strand-based hair with joints from a single character image, preserving colors and animating naturally. Code and a ~2.45 GB model released under Apache 2, runs on Nvidia and Apple Silicon.
Research model that generates animation-ready stylized hair cards and spring-bone chains from a single character image.
Updated EU status checked Last shown
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.
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.
- 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
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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