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:
- 4de81c37625c161c6ca61a01437e65afe7ff34f0191f3d341b836f608fdee5f7
- Size of remote file:
- 1.19 MB
- SHA256:
- ac21fba01b5383ccae304dc34a5195c4882e8c533f253ee918f4245b9a8415e9
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