Instructions to use tzvc/hilleli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tzvc/hilleli with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tzvc/hilleli", 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 tzvc/hilleli: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/tzvc/hilleli/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://tzvc/hilleli@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tzvc/hilleli/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 28fa55219226475a5bc8d100def864ec09ceafe48812d62d4938f9163741eef9
- Size of remote file:
- 492 MB
- SHA256:
- 328488ce45ab2f1d6adbdd20a1ee82c37e250cc71514d99016339c724a48a266
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