Instructions to use kmpartner/bk-testdp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmpartner/bk-testdp 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-testdp", 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:
- f2a3ca0d37d716198980c066523165fed1c06d47df51a54d7ecbe6e49b12152c
- Size of remote file:
- 729 MB
- SHA256:
- 601f2cab03cac15d2a7f63f2c92a3f1fe3f1659016a89d028bf908c33ea2c454
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