Instructions to use kxic/stable-zero123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kxic/stable-zero123 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kxic/stable-zero123", 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
- Xet hash:
- 568c6c84f40cb8488e30034cea44a71fd391a127210f790e7829d96fbee2246a
- Size of remote file:
- 2.38 MB
- SHA256:
- 4aaf90e99a4e267a03184d320a4e71da2b9cf9730220c569523fb727b93d4c63
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.