Instructions to use bbugaev/bill-burney with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bbugaev/bill-burney with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bbugaev/bill-burney", 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:
- afcdd32085f22247f45c9610e81ad81ff1c6721f035e25e72ffac1ad22d1ca7d
- Size of remote file:
- 492 MB
- SHA256:
- e5c45fe9cbee93470d165675d2f9675894ecbc7d140d51ac2a7152f6ad763b04
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