Instructions to use kebab111/bb95furry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kebab111/bb95furry with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kebab111/bb95furry", 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:
- a055c40fe447455399a05c6faf17b06bd0e519b3bd3c57ea003bc572987ec0a2
- Size of remote file:
- 335 MB
- SHA256:
- 840da5a2af168a9684da40aaaf4a70c1d55c9e09e8fadfdf3119974a6773b9ce
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