Instructions to use uf/Rotenyx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use uf/Rotenyx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("uf/Rotenyx", 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:
- 90b8f37960d335654273744cfb1eb4821686f0d717c9f28be3d2ea57e4854206
- Size of remote file:
- 492 MB
- SHA256:
- 5b56ff6a4a6b303ab420ea1ba889528e289ac186deb61d833b13d426e320a310
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