Instructions to use lodestones/polyfur-pytorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lodestones/polyfur-pytorch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lodestones/polyfur-pytorch", 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 lodestones/polyfur-pytorch: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/lodestones/polyfur-pytorch/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://lodestones/polyfur-pytorch/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lodestones/polyfur-pytorch/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 765f24a952591d0489ceb917539a1a596d97d1f6912d19efa4e0f4ca1b81a918
- Size of remote file:
- 492 MB
- SHA256:
- 5f9911d0a13121898db2f347be2315980a3ac39de71507461663af627bf6ee2c
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