Instructions to use tuwonga/zukki_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tuwonga/zukki_style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tuwonga/zukki_style", 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 text_encoder/pytorch_model.bin from tuwonga/zukki_style: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/tuwonga/zukki_style/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://tuwonga/zukki_style/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tuwonga/zukki_style/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 1e3658cbb8ce0c7fe370d880ca8d935d546e013ff9fd703af07dcc6ae6c8ffa5
- Size of remote file:
- 492 MB
- SHA256:
- df24c5822316f4328b149a6ecbd90452befa868a912eee53df9820f5c3e16bc0
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