Instructions to use Karumoon/test00a2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Karumoon/test00a2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Karumoon/test00a2", dtype=torch.bfloat16, device_map="cuda") prompt = "Jens Peter Hansen kommer fra Danmark" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 76e25e986ee1864fd73bf2798e87c454fb72a8620e89adf8c826705fa027b2ac
- Size of remote file:
- 3.44 GB
- SHA256:
- f3da1304a05b8e07a5e823199147792cf48be8b14ea3c5e1ad155aaa0b7c2560
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.