Instructions to use GaumlessGraham/Inner1730_10Real with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GaumlessGraham/Inner1730_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/Inner1730_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/0028.png from GaumlessGraham/Inner1730_10Real: direct link, hf CLI and curl.
- Browser
- Download file 25.8 kB
-
https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0028.png
- Command line
-
hf download hf://GaumlessGraham/Inner1730_10Real/samples_generated/0028.png
-
curl -L -o 0028.png https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0028.png
25.8 kB

- Xet hash:
- 805967e0ddd650862d234fb0ed6d17bf0f5690c7c660b3ec6d0b2d33ca4dd86e
- Size of remote file:
- 25.8 kB
- SHA256:
- 66524d88a3c632c78c30413a81b425a2347070f546121ce9b9e1f3ec1cd5450d
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