Instructions to use Lucetepolis/FuzzyHazel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lucetepolis/FuzzyHazel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lucetepolis/FuzzyHazel", 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 Samples/B5.png from Lucetepolis/FuzzyHazel: direct link, hf CLI and curl.
- Browser
- Download file 1.1 MB
-
https://huggingface.co/Lucetepolis/FuzzyHazel/resolve/main/Samples/B5.png
- Command line
-
hf download hf://Lucetepolis/FuzzyHazel/Samples/B5.png
-
curl -L -o B5.png https://huggingface.co/Lucetepolis/FuzzyHazel/resolve/main/Samples/B5.png
1.1 MB

- Xet hash:
- e6aa3e59a5481752c4078635a32fc89a11ea71fdd49de13ded6594b33e65cf62
- Size of remote file:
- 1.1 MB
- SHA256:
- 11bde445860629a22578f233bce9db73908bbed09f7653e279a4bf3c266d543a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.