Instructions to use pomercier/Francois_Legault with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pomercier/Francois_Legault with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pomercier/Francois_Legault", dtype=torch.bfloat16, device_map="cuda") prompt = "Francois Legault " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from pomercier/Francois_Legault: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/pomercier/Francois_Legault/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://pomercier/Francois_Legault@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/pomercier/Francois_Legault/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 89ab5362699c18dd0e6e527acdf1263f0775d24faff254a278bd000787d7b6c4
- Size of remote file:
- 492 MB
- SHA256:
- fb0be8b438bd1e0ae86d91c2627f8b7daeb95f421873de52358ae7473847e339
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