Unofficial Simple And Rough Implementation Of [a/AnyText](https://github.com/tyxsspa/AnyText) and [a/Glyph-ByT5] (https://github.com/AIGText/Glyph-ByT5) and [a/JoyType](https://github.com/jdh-algo/JoyType)

ComfyUI_Anytext

Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering
We identify two crucial requirements of text encoders for achieving accurate visual text rendering: character awareness and alignment with glyphs. To this end, we propose a customized text encoder, Glyph-ByT5, by fine-tuning the character-aware ByT5 encoder using a meticulously curated paired glyph-text dataset.
We present an effective method for integrating Glyph-ByT5 with SDXL, resulting in the creation of the Glyph-SDXL model for design image generation. This significantly enhances text rendering accuracy, improving it from less than 20% to nearly 90% on our design image benchmark. Noteworthy is Glyph-SDXL's newfound ability for text paragraph rendering, achieving high spelling accuracy for tens to hundreds of characters with automated multi-line layouts.
We deliver a powerful customized multilingual text encoder, Glyph-ByT5-v2, and a strong aesthetic graphic generation model, Glyph-SDXL-v2, that can support accurate spelling in ∼10 different languages

ComfyUI Node: Glyph-ByT5 Sampler

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Extension: ComfyUI_Anytext

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