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:
- 0f1206cc6746ae2db132488b3f219bdf62e5227420d7a2b683b65a3aa32bf5cb
- Size of remote file:
- 3.44 GB
- SHA256:
- 8115b5d434b738d0bd9733f67512f538576fe248dbc8dc61b6961e1b0a9ce13b
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