Instructions to use Ryosuke/noumison with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ryosuke/noumison with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ryosuke/noumison", 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:
- 42a187f483a7a8e63bbbfc511507ab819975afa1217c2c060d3ca613960b5e46
- Size of remote file:
- 246 MB
- SHA256:
- 6cdd7e8a5f5ef7432209896e53ae83d49330dfa50e670c69ca5e3630e31f1ce1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.