Instructions to use Norod78/SD15-VinageStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Norod78/SD15-VinageStyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Norod78/SD15-VinageStyle", dtype=torch.bfloat16, device_map="cuda") prompt = "A Pulp Cover featuring Gal Gadot, very detailed, clean, high quality, sharp image, Saturno Butto" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from Norod78/SD15-VinageStyle: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Norod78/SD15-VinageStyle/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Norod78/SD15-VinageStyle/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Norod78/SD15-VinageStyle/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 182d0f147e87f8383f3802f33165af9d9ec4993223cef79eeb37ada0d4ea15e5
- Size of remote file:
- 335 MB
- SHA256:
- 6723bacd3c60b11a2b4e6007338a54c6964c210116c3ccecb3bfc80e218afc8f
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