Instructions to use Boogu/Boogu-Image-0.1-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Boogu/Boogu-Image-0.1-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Boogu/Boogu-Image-0.1-Base", 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
Add pipeline tag to metadata
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by nielsr HF Staff - opened
README.md
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license: apache-2.0
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language:
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library_name: diffusers
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<p align="center">
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## 📄 License
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This project is released under the [Apache-2.0 License](LICENSE).
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library_name: diffusers
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license: apache-2.0
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pipeline_tag: text-to-image
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---
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<p align="center">
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## 📄 License
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This project is released under the [Apache-2.0 License](LICENSE).
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