Instructions to use qian43/Sat3DGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use qian43/Sat3DGen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("qian43/Sat3DGen", 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:
- be2f44e6c94bbb76b8d2868a6c0f1c15ebf61a3c71fd26779268abbca50a6c02
- Size of remote file:
- 1.52 GB
- SHA256:
- 8770de3ea777d586160036a78d29bd8f1cc2ae2d1d9900f01945c6c8f4377846
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