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", 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
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README.md
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## Model Description
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The ByT5 model is finetuned from [Glyph-ByT5-v2](https://arxiv.org/abs/2406.10208), which supports accurate visual text rendering in ten different languages.
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The [SPO](https://huggingface.co/SPO-Diffusion-Models) model is a substitute for the original sdxl-base-1.0 for aesthetic improvement.
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You can follow our [github]() to organize and run the model.
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## Citation
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## Model Description
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The ByT5 model is finetuned from [Glyph-ByT5-v2](https://arxiv.org/abs/2406.10208), which supports accurate visual text rendering in ten different languages.
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The [SPO](https://huggingface.co/SPO-Diffusion-Models) model is a substitute for the original sdxl-base-1.0 for aesthetic improvement. The lora/infographic and lora/slides are separately tuned on our infographics and slides datasets.
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You can follow our [github]() to organize and run the model.
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## Citation
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