Instructions to use ukeeba/kk1-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ukeeba/kk1-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ukeeba/kk1-1", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 21594ce2dbd4ed402de020781e0fab2cc6ec6d4a9be2efd1502b63565352c077
- Size of remote file:
- 335 MB
- SHA256:
- bdffd1864fe32a57730ea74c5fc06751c6ce101cca74390d94fe61a516d8a30d
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