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:
- baaf3d7630659071e831e45e88706b4081807c8e055fb74d4791f9d83fabd472
- Size of remote file:
- 2.13 GB
- SHA256:
- 0af522dc2fd1c51b372a24925f75c9894ba66a92ece8b705ddf657f6bf96c190
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