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 fuzzytrain.zip from Lucetepolis/FuzzyHazel: direct link, hf CLI and curl.
- Browser
- Download file 2.51 GB
-
https://huggingface.co/Lucetepolis/FuzzyHazel/resolve/c7bfa7f2bfcfeaceda5faea09f58ee9fa067e2ed/fuzzytrain.zip
- Command line
-
hf download hf://Lucetepolis/FuzzyHazel@c7bfa7f2bfcfeaceda5faea09f58ee9fa067e2ed/fuzzytrain.zip
-
curl -L -o fuzzytrain.zip https://huggingface.co/Lucetepolis/FuzzyHazel/resolve/c7bfa7f2bfcfeaceda5faea09f58ee9fa067e2ed/fuzzytrain.zip
2.51 GB
- Xet hash:
- 3af75c7b9f37f39885515c0d29fa54bde814f752f24c27d5d6bc965e3a309e2a
- Size of remote file:
- 2.51 GB
- SHA256:
- 5897240381156e7197e4b66a6f7c083d2319741ac5afb7ce3ccc4cb5972574cf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.