Instructions to use Strangematter/haydenp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Strangematter/haydenp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Strangematter/haydenp", 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 unet/diffusion_pytorch_model.bin from Strangematter/haydenp: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Strangematter/haydenp/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Strangematter/haydenp/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Strangematter/haydenp/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 378072cba36e20d40561e77c260fa33711f7502a28cad1ff6f0ad1da2420e815
- Size of remote file:
- 3.44 GB
- SHA256:
- f9be494921c5748544cfce8e3c11a1abb800221cc011246f7881b1c016e35e97
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