Instructions to use lea97338/Louane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lea97338/Louane with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lea97338/Louane", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download vae/diffusion_pytorch_model.bin from lea97338/Louane: direct link, hf CLI and curl.
- Browser
- Download file 1.72 MB
-
https://huggingface.co/lea97338/Louane/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://lea97338/Louane/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/lea97338/Louane/resolve/main/vae/diffusion_pytorch_model.bin
1.72 MB
- Xet hash:
- 08b4185835076c18574cfd3c1f0843ada7c1e59f4bfbe2a9bb72411bd5d17222
- Size of remote file:
- 1.72 MB
- SHA256:
- ce8b01f516b1d7676059c95c99bccae1d150e4084720dbb7953759ff9fc352af
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