Instructions to use kmpartner/bk-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmpartner/bk-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kmpartner/bk-test", 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:
- 758a3e6b7555dd414a0a05a33847c588a545a940b57624e8505154c8f28a44ad
- Size of remote file:
- 1.46 GB
- SHA256:
- 0686b783664e862fb77836c7a6cf5d116dca2aa9d40341e68a90128177245430
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