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/0025.png from GaumlessGraham/Inner1730_10Real: direct link, hf CLI and curl.
- Browser
- Download file 26.8 kB
-
https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0025.png
- Command line
-
hf download hf://GaumlessGraham/Inner1730_10Real/samples_generated/0025.png
-
curl -L -o 0025.png https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0025.png
26.8 kB

- Xet hash:
- 88738085cc16896ac9b0a6dc0c05604e8f8b19b741996c11035587b1bfcad484
- Size of remote file:
- 26.8 kB
- SHA256:
- 67772d5cf112ff3f2671b42dc0b5cc498af4b040603e19d14a61a2331f742484
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