Instructions to use raw-vitor/emicius with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use raw-vitor/emicius with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("raw-vitor/emicius", 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:
- 73c7fc8408eb8e1c886392b9ebf1cfb3840afa74ca1dd0f95432d0d6af650a80
- Size of remote file:
- 246 MB
- SHA256:
- 83d437d84960da7dca4d63994fe8693fae17ded8882991e35b88b70bd3fc7c0e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.