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/0027.png from GaumlessGraham/Inner1730_10Real: direct link, hf CLI and curl.
- Browser
- Download file 25.6 kB
-
https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0027.png
- Command line
-
hf download hf://GaumlessGraham/Inner1730_10Real/samples_generated/0027.png
-
curl -L -o 0027.png https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0027.png
25.6 kB

- Xet hash:
- 469d010a25a6b8019777a0f64f216d9135052129eab61a270b94c03970e5854b
- Size of remote file:
- 25.6 kB
- SHA256:
- 18d4ca1c3b6a01588b4f2374a54eccfd274c285862ef59c5d4ece6e3f81407e7
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