Shypd.aiThe largest open index of AI toolsStable-Hair is a Content & Design tool that enables real-world hair transfer via a diffusion model. It allows users to transfer diverse and intricate hairstyles to user-provided faces for virtual hair try-on.
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Stable-Hair is an open-source PyTorch implementation of a novel diffusion-based hair transfer framework designed for real-world hair transfer. This tool addresses the challenge of handling diverse and intricate hairstyles, making it suitable for virtual hair try-on applications. The framework operates as a two-stage pipeline: first, a Bald Converter removes hair from user-provided face images, generating bald images. Second, a Hair Extractor encodes reference hairstyles, and a Latent IdentityNet ensures identity and background consistency. A novel Latent ControlNet architecture minimizes color deviations and functions as both the Bald Converter and Latent IdentityNet. After training on a curated triplet dataset, Stable-Hair accurately transfers highly detailed and high-fidelity hairstyles, outperforming existing methods.
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