Instructions to use junjuice0/VOXO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use junjuice0/VOXO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("junjuice0/VOXO", 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:
- 5f2d52d5f91d23dc5215680a59af746a9b933a30e1ba5a4a74d3bff85d4fdc34
- Size of remote file:
- 335 MB
- SHA256:
- 14ec4de64ce64f37310a2bcd0aa12ad3eaeb968b2b2f47a72da11428293cb182
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.