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
Download samples_generated/0010.png from GaumlessGraham/Outer1730_10Real: direct link, hf CLI and curl.
- Browser
- Download file 19.2 kB
-
https://huggingface.co/GaumlessGraham/Outer1730_10Real/resolve/main/samples_generated/0010.png
- Command line
-
hf download hf://GaumlessGraham/Outer1730_10Real/samples_generated/0010.png
-
curl -L -o 0010.png https://huggingface.co/GaumlessGraham/Outer1730_10Real/resolve/main/samples_generated/0010.png
19.2 kB

- Xet hash:
- 1ef5fa94cd2f4ad3b6cbe6ab8a18f51a7bf0042d2c2768ca18ea6cfd9e0b3150
- Size of remote file:
- 19.2 kB
- SHA256:
- 003800472a2c0eb09b7772ddfe494b02238eaf6b85feed7eb6a9b29e431f858f
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