Instructions to use sd-dreambooth-library/weirdcore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/weirdcore with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-dreambooth-library/weirdcore", dtype=torch.bfloat16, device_map="cuda") prompt = "weirdcore" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from sd-dreambooth-library/weirdcore: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/sd-dreambooth-library/weirdcore/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://sd-dreambooth-library/weirdcore@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sd-dreambooth-library/weirdcore/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- 3d1f2e20970f869790b1735b17a4efce3b52e78af655e1ceb7d9b5c7a7e46429
- Size of remote file:
- 1.36 GB
- SHA256:
- aabc08a1a275f00550d6d2b0903c673f61cb0e7bab5a37e41ca3ae961588a8a0
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