Instructions to use GraydientPlatformAPI/realwaifuv11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/realwaifuv11 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/realwaifuv11", 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
- Xet hash:
- d3d21c15709ce54800859f3e6660a51fdae6e357a595b975a8b21c9786e52b36
- Size of remote file:
- 246 MB
- SHA256:
- bb262ce036492e69ddd4e4e21cf8fac80e8945209ac4e6bdd9cfe7f2af8b73e9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.