Instructions to use Luffuly/unique3d-mvimage-diffuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Luffuly/unique3d-mvimage-diffuser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Luffuly/unique3d-mvimage-diffuser", 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:
- abb126f123e499043598d13ee476d81391ab56178c0e60170b5a7c3858051520
- Size of remote file:
- 1.22 GB
- SHA256:
- 77b33d2a3a643650857672e880ccf73adbaf114fbbadec36d142ee9d48af7e20
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