Instructions to use plasmo/woolitize-768sd1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use plasmo/woolitize-768sd1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("plasmo/woolitize-768sd1-5", dtype=torch.bfloat16, device_map="cuda") prompt = "woolitize " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from plasmo/woolitize-768sd1-5: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/plasmo/woolitize-768sd1-5/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://plasmo/woolitize-768sd1-5@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/plasmo/woolitize-768sd1-5/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 4c09ca2e5d8dc3ca61f62956b74163323171f72ade4a23a9ad7e9f18145e866a
- Size of remote file:
- 492 MB
- SHA256:
- 2bbd0f5860cb57c39060ea116079af134dcc13ba42fd815bf2e61c97197ae239
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