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
Download vae/diffusion_pytorch_model.bin from kebab111/bb95furry: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/kebab111/bb95furry/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://kebab111/bb95furry@refs/pr/1/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/kebab111/bb95furry/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- a055c40fe447455399a05c6faf17b06bd0e519b3bd3c57ea003bc572987ec0a2
- Size of remote file:
- 335 MB
- SHA256:
- 840da5a2af168a9684da40aaaf4a70c1d55c9e09e8fadfdf3119974a6773b9ce
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