Instructions to use BotsOne/utilitypole with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BotsOne/utilitypole with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BotsOne/utilitypole", 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:
- 0047f4478d67dccffefe81648232e3fbd477e458e1048d0e6278fcfebc04eed8
- Size of remote file:
- 246 MB
- SHA256:
- 775a3cc6da44ab0701d59d2186024f0985e9ddb06bf74c85f93967819d4d42c9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.