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/0020.png from GaumlessGraham/Inner1730_10Real: direct link, hf CLI and curl.
- Browser
- Download file 26 kB
-
https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0020.png
- Command line
-
hf download hf://GaumlessGraham/Inner1730_10Real/samples_generated/0020.png
-
curl -L -o 0020.png https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0020.png
26 kB

- Xet hash:
- 0e14ed513a902c41ab77b6ddd9129e4e7b906596794eeb3e084ded3bf9e1b4c4
- Size of remote file:
- 26 kB
- SHA256:
- c224e3795987687cc83f1a9190ff2bf7487eb086e99e80d2d339e423fa381194
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