Instructions to use GaumlessGraham/Outer1730_10Real with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GaumlessGraham/Outer1730_10Real with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GaumlessGraham/Outer1730_10Real", 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:
- b1ec62a0d1fb86765ceb7f985673ef2f0127e5c598d6a26fc450e706f2ee2050
- Size of remote file:
- 22.5 kB
- SHA256:
- cd6913ac2b0bf0fd7effb46aa39e8ac1c051ce1756ae8fe15d3a6ada1a953d3f
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