Instructions to use kmpartner/bk-testopf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmpartner/bk-testopf 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-testopf", 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:
- 4200b0a535200c7862039dd6cba03452f0323e7a56976991b9c11afbfc7d8e19
- Size of remote file:
- 729 MB
- SHA256:
- 16e04cca75438b5eb3f34c982f612bcc75c651041b3ed9a44cf7b10a3dc46a2e
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