

Stable Hair
Overview :
Stable-Hair is an innovative hairstyle transfer technique that robustly transfers a diverse range of real-world hairstyles onto user-provided facial images for virtual try-ons. This method excels at handling complex and varied hairstyles, maintaining the original identity content and structure while achieving highly detailed and high-fidelity transfer effects.
Target Users :
Stable-Hair is designed for users who need to try on personalized hairstyles in virtual environments, such as digital media creators and virtual reality application developers. It's particularly suited for professionals and enthusiasts seeking to quickly and conveniently change hairstyles without sacrificing detail and realism.
Use Cases
Users can quickly change hairstyles using Stable-Hair in virtual character design to suit different occasions or styles.
Digital media creators can leverage Stable-Hair to design diverse hairstyles for characters, enhancing their personality.
In virtual reality experiences, users can try on different hairstyles in real-time for a more immersive interactive experience.
Features
Two-phase process design, initially removing hair to generate a bald proxy image, followed by hairstyle transfer.
Uses Bald Converter and Stable Diffusion model for hair removal.
Three modules—Hair Extractor, Latent IdentityNet, and Hair Cross-Attention Layers—are designed for precise hairstyle transfer.
Hair Extractor captures complex details and features of the reference hairstyle.
Latent IdentityNet encodes the source image, maintaining consistency in identity content and background.
Hair Cross-Attention Layers help accurately transfer high-detail and high-fidelity hairstyles to the bald image.
Enables more refined and stable hairstyle transfer without precise facial alignment or explicit masks.
How to Use
1. Users upload a source image containing their complete face.
2. Use the Bald Converter and Stable Diffusion model to remove hair from the image and generate a bald proxy image.
3. Select a reference image that contains the desired hairstyle.
4. Utilize the Hair Extractor to extract hairstyle features from the reference image.
5. Encode the source image using Latent IdentityNet to ensure consistency in identity content.
6. Apply the extracted hairstyle features to the bald proxy image using Hair Cross-Attention Layers.
7. Complete the hairstyle transfer, providing the user with an image showcasing the new hairstyle.
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