Instructions to use kxic/zero123-105000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kxic/zero123-105000 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/zero123-105000", 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:
- 8c86bb518bbd6a00de15d395169f07df2ccca7bcaaa6d6a9412df5baff6b015f
- Size of remote file:
- 3.44 GB
- SHA256:
- 36503738c194194955e5e91661cf79454c689fc1e6aaa4dea1e1c4c9f4236739
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