Instructions to use levovix/radkanagws with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use levovix/radkanagws with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("levovix/radkanagws", 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:
- 0b27a912d0761c741ff9aefa36b968c5a1c9a9c58cc38e87b8a24bef01aea4d5
- Size of remote file:
- 335 MB
- SHA256:
- 1ced03dc0cf388fc19c84959dcc12a4943f2d330ec2211a9bdf2918d3bf7ec4c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.