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AnyText
AnyText comprises a diffusion pipeline with two primary elements: an auxiliary latent module and a text embedding module. The former uses inputs like text glyph, position, and masked image to generate latent features for text generation or editing. The latter employs an OCR model for encoding stroke data as embeddings, which blend with image caption embeddings from the tokenizer to generate texts that seamlessly integrate with the background. We employed text-control diffusion loss and text perceptual loss for training to further enhance writing accuracy.

Creator: tyxsspa
Stars ⭐️: 2.2k
Forked By: 140
GithubRepo:
https://github.com/tyxsspa/AnyText

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GitHub GitHub - tyxsspa/AnyText: Official implementation code of the paper <AnyText: Multilingual Visual Text Generation And Editing> Official implementation code of the paper <AnyText: Multilingual Visual Text Generation And Editing> - tyxsspa/AnyText
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