Instructions to use kmpartner/k5pcmlra6-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmpartner/k5pcmlra6-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kmpartner/k5pcmlra6-test", 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
- Xet hash:
- 8d00e1258c97da8c7be56b46caefea455b8851fb2c830e15c79d5544dabc6022
- Size of remote file:
- 123 MB
- SHA256:
- 247962214b3676e4727df2e8833c988355b959ea8f31992112a4e14582976765
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.