Instructions to use nubby/kantoku with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nubby/kantoku with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nubby/kantoku", 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:
- a9acc55bdc6449fa1637f9a098668c09f17ff2d9d17231793c067e409c0a9788
- Size of remote file:
- 492 MB
- SHA256:
- 1bce1482f893c9f5109c626c8d6e56dc452412cc68877a0cc14d7949e957d7d9
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