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:
- 893f59fad63b6339e55121c010fe9f7db3d37cfed52dd64828e6f1add8e31f90
- Size of remote file:
- 5.35 MB
- SHA256:
- 38126dddf09a4e9dadb5633847f4c2a4a0d6335c15d8f872942edbaea7ab4af2
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