--- language: - en library_name: glyph-byt5 --- # Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering We introduce **Glyph-ByT5-v2**, a customized text encoder for accurate **multilingual** visual text rendering and improved aesthetics. As an extension of **Glyph-SDXL**, our multilingual version supports visual text rendering for up to 10 different languages: English, Chinese, Japanese, Korean, French, German, Spanish, Italian, Portuguese and Russian. Combined with SDXL, our proposed **Glyph-SDXL-v2** achieves accurate multilingual design image visual text rendering. > [**Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering**](https://glyph-byt5-v2.github.io/) > [Zeyu Liu](https://github.com/lzy-tony), [Weicong Liang](https://scholar.google.com/citations?user=QvHDIygAAAAJ&hl=zh-CN), [Yiming Zhao](https://scholar.google.com.hk/citations?user=_knPaYsAAAAJ&hl=zh-CN), [Bohan Chen](https://github.com/BHCHENGIT), [Ji Li](https://sites.google.com/a/usc.edu/jili/), [Yuhui Yuan](https://www.microsoft.com/en-us/research/people/yuyua/) > Microsoft Research Asia; Tsinghua University; Peking University; University of Liverpool > Preprint ## Model Sources - **Repository:** [https://github.com/AIGText/Glyph-ByT5] - **Paper:** [https://arxiv.org/abs/2406.10208] - **Project Page:** [https://glyph-byt5-v2.github.io/] ## Model Description Please check our [paper](https://arxiv.org/abs/2406.10208) and [project page](https://glyph-byt5-v2.github.io/) for more details. Detail usage and inference code can be found [here](https://github.com/AIGText/Glyph-ByT5). ## Visualization
example 1 example 2 example 3 example 4
## Quick Usage ``` python inference_v2.py configs/glyph_sdxl_v2_albedo.py checkpoints examples/xiaoman.json --out_folder work_dirs/xiaoman --device cuda --sampler dpm ``` ## More Configurations We list some more useful configurations for easy usage: | Argument/Config | Place | Default | Description | | ----------------------------- | ---------- | ----------------------------------- | ------------------------------------------------------------ | | cfg | argument | 5.0 | Classifier-free guidance | | sampler | argument | dpm | Sampler, provide support for dpm (DPM++ 2M Karras) and euler (EulerDiscreteScheduler) | | pretrained_model_name_or_path | config | stablediffusionapi/albedobase-xl-20 | Base model | | seed | annotation | None | Seed for inference | ## Citation If you find our work useful in your research, please consider citing: ``` @misc{liu2024glyphbyt5v2, title={Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering}, author={Zeyu Liu and Weicong Liang and Yiming Zhao and Bohan Chen and Ji Li and Yuhui Yuan}, year={2024}, eprint={2406.10208}, archivePrefix={arXiv}, primaryClass={cs.CV} } ``` and ``` @misc{liu2024glyphbyt5, title={Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering}, author={Zeyu Liu and Weicong Liang and Zhanhao Liang and Chong Luo and Ji Li and Gao Huang and Yuhui Yuan}, year={2024}, eprint={2403.09622}, archivePrefix={arXiv}, primaryClass={cs.CV} } ```