Instructions to use PYY2001/BizGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PYY2001/BizGen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PYY2001/BizGen", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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@@ -60,4 +60,20 @@ If you find our work or codebase useful, please consider giving us a star and ci
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journal={arXiv preprint arXiv:},
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year={2025}
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}
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```
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journal={arXiv preprint arXiv:},
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year={2025}
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}
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```
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```
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@article{liu2024glyphv2,
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title={Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering},
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author={Liu, Zeyu and Liang, Weicong and Zhao, Yiming and Chen, Bohan and Li, Ji and Yuan, Yuhui},
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journal={arXiv preprint arXiv:2406.10208},
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year={2024}
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}
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```
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```
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@article{liu2024glyph,
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title={Glyph-byt5: A customized text encoder for accurate visual text rendering},
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author={Liu, Zeyu and Liang, Weicong and Liang, Zhanhao and Luo, Chong and Li, Ji and Huang, Gao and Yuan, Yuhui},
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journal={arXiv preprint arXiv:2403.09622},
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year={2024}
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}
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```
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