Instructions to use Boogu/Boogu-Image-0.1-Base-fp8 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-fp8 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-fp8", 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
- Xet hash:
- a624fb85d8b7755e74045e4cd638a68af7ac901da4fb09fa431f66788aa7320c
- Size of remote file:
- 333 MB
- SHA256:
- 9df4894273f55ba7d6ac812ad97d206a29714734a89f0e8a3b1ec9df17421928
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