Instructions to use bennyguo/zero123-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bennyguo/zero123-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bennyguo/zero123-diffusers", 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:
- 57ce2f7e8969d6ec1ea1c6df20fcf99681b4fe735e98fb4de684d1b1c2ac7d21
- Size of remote file:
- 2.37 MB
- SHA256:
- f690e12a17cd5d9201e4ecfe27ab54fb2aeb926413fa46f8846a9a7550e62834
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.