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", torch_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:
- 54ded9a8605fc6d1392b203c60b73f75f71fa1f435bd35d1581ddd31da8ceb76
- Size of remote file:
- 492 MB
- SHA256:
- 8f21dd9914ce6b584cf4df695998f07d2ef9652a3859dcaf1675439304a2a142
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