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/0048.png from GaumlessGraham/Inner1730_10Real: direct link, hf CLI and curl.
- Browser
- Download file 27.2 kB
-
https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0048.png
- Command line
-
hf download hf://GaumlessGraham/Inner1730_10Real/samples_generated/0048.png
-
curl -L -o 0048.png https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0048.png
27.2 kB

- Xet hash:
- 9030c7628d3d92b0e7f7e0bf02cd294123a7b3fec1e2530474df07ea1f009ba6
- Size of remote file:
- 27.2 kB
- SHA256:
- 4d5d2ad0e7c28c245a4bb43e666c1b52e2b6d2c013ef4260180acdb40ca3bff2
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