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:
- 278b46779ba21222a19778b34f5adcd6e0751e774e6d0f9d2012209279703d38
- Size of remote file:
- 3.44 GB
- SHA256:
- e02aac985cd1b910df5c668cf0b077d74558b018d2ac0aa3c064394215924068
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