Instructions to use zigg-ai/williamosman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zigg-ai/williamosman with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zigg-ai/williamosman", dtype=torch.bfloat16, device_map="cuda") prompt = "sdcid" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from zigg-ai/williamosman: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/zigg-ai/williamosman/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://zigg-ai/williamosman/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/zigg-ai/williamosman/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 033254387f664388c65ded1b089022bda4f746f48e502920fa78eb6d0baccb0c
- Size of remote file:
- 492 MB
- SHA256:
- 8a559593541a8e58f8f5c51f7794cc21c31e7ef4dd3a6c7f3aa66871ec69181a
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