Instructions to use Sanvean/clpbug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sanvean/clpbug with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sanvean/clpbug", dtype=torch.bfloat16, device_map="cuda") prompt = "clpbug" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from Sanvean/clpbug: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Sanvean/clpbug/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Sanvean/clpbug@refs/pr/1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Sanvean/clpbug/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- b47fe54578ce4ead7e9c3c5c6acfccce3b3ab963b551bd2b41ae6644fe529113
- Size of remote file:
- 492 MB
- SHA256:
- 35ea446b91dab09d1ffdf8e4875704bbc12c01d806ac1d6da4d3066d8cccb9ff
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