BRAT: Bonus oRthogonAl Token for Architecture Agnostic Textual Inversion

James Baker

BRAT: Bonus oRthogonAl Token for Architecture Agnostic Textual Inversion: 8 upvotes on Hugging Face Daily Papers, #6 of 10 papers on 2024-08-12. Day-by-day upvote history.

Textual Inversion remains a popular method for personalizing diffusion models, in order to teach models new subjects and styles. We note that textual inversion has been underexplored using alternatives to the UNet, and experiment with textual inversion with a vision transformer. We also seek to optimize textual inversion using a strategy that does not require explicit use of the UNet and its idiosyncratic layers, so we add bonus tokens and enforce orthogonality. We find the use of the bonus token improves adherence to the source images and the use of the vision transformer improves adherence to the prompt. Code is available at https://github.com/jamesBaker361/tex_inv_plus.

Paper page on Hugging Face · arXiv

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