Instructions to use soren127/RealVis11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use soren127/RealVis11 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("soren127/RealVis11", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from soren127/RealVis11: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/soren127/RealVis11/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://soren127/RealVis11@refs/pr/1/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/soren127/RealVis11/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- a8c279eaf3941f6a08fc3948a01c652572f0da1655e7997727e6068a8f643c72
- Size of remote file:
- 335 MB
- SHA256:
- 29b4c82c4150a41687973b5e62930572ae2100c4483a851e4054c7f134241b3b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.