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
Upload README.md with huggingface_hub
Browse files
README.md
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<p align="center">
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<img src="assets/boogu-logo-title.svg" alt="Boogu-Image-0.1" width="420" />
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</p>
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---
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license: apache-2.0
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language:
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- en
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- zh
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base_model:
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- Qwen/Qwen3-VL-8B-Instruct
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- black-forest-labs/FLUX.1-dev
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library_name: diffusers
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---
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<p align="center">
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<img src="assets/boogu-logo-title.svg" alt="Boogu-Image-0.1" width="420" />
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</p>
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