Instructions to use kebab111/FurryStaber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kebab111/FurryStaber 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/FurryStaber", 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/FurryStaber: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/kebab111/FurryStaber/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://kebab111/FurryStaber/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/kebab111/FurryStaber/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 1950f3a24b8e1a20e32ef0b2f008a238146adbb269522c68599f63f3644a43d4
- Size of remote file:
- 335 MB
- SHA256:
- d61cea541c17e0fcca5841f3cac13d3ced4c035ba1e2137b2f4d0fe52542eecf
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