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/0042.png from GaumlessGraham/Inner1730_10Real: direct link, hf CLI and curl.
- Browser
- Download file 27.4 kB
-
https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0042.png
- Command line
-
hf download hf://GaumlessGraham/Inner1730_10Real/samples_generated/0042.png
-
curl -L -o 0042.png https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0042.png
27.4 kB

- Xet hash:
- 85875f500ee642d2fb81f23b87a9dadd327ee4b1ee26ecc5a13dd6b548312d3e
- Size of remote file:
- 27.4 kB
- SHA256:
- fb3ee1367ab6f7f366711cbc9a81a2d7bfa6e24f3c61e719e02f5f1310c79ce0
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