Instructions to use DiffusersVersionsOfModels/Glyph-ByT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Glyph-ByT5
How to use DiffusersVersionsOfModels/Glyph-ByT5 with Glyph-ByT5:
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- Notebooks
- Google Colab
- Kaggle
| 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 | |
| <!-- Provide the basic links for the model. --> | |
| - **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 | |
| <table> | |
| <tr> | |
| <td><img src="assets/teaser/teaser_multilingual_1.webp" alt="example 1" width="200"/></td> | |
| <td><img src="assets/teaser/teaser_multilingual_2.webp" alt="example 2" width="200"/></td> | |
| <td><img src="assets/teaser/teaser_multilingual_3.webp" alt="example 3" width="200"/></td> | |
| <td><img src="assets/teaser/teaser_multilingual_4.webp" alt="example 4" width="200"/></td> | |
| </tr> | |
| </table> | |
| ## 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} | |
| } | |
| ``` |