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:
- 20a1b2493ac444ceb0c1bdf06ae729926393148e3745a1e7905d44137624373c
- Size of remote file:
- 3.85 GB
- SHA256:
- 605a422fbc295277c84ba23d1cd6fb414faac2b6000b5098d126aaf73f45a12e
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