Instructions to use Jinstudio/Boogu-Image-0.1-Edit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jinstudio/Boogu-Image-0.1-Edit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jinstudio/Boogu-Image-0.1-Edit", 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

- Xet hash:
- d9b2838a6913b1ea42d98f2d3d8963d0cfd8e291fe45e8e984c8bd6046a9f9a7
- Size of remote file:
- 8.85 MB
- SHA256:
- 7e3b42d346ba4424cb2c845cc2f66fc9c2a134c09cc6a7256de776add30461f3
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