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/0040.png from GaumlessGraham/Inner1730_10Real: direct link, hf CLI and curl.
- Browser
- Download file 40.8 kB
-
https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0040.png
- Command line
-
hf download hf://GaumlessGraham/Inner1730_10Real/samples_generated/0040.png
-
curl -L -o 0040.png https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0040.png
40.8 kB

- Xet hash:
- 762ce41f5903b97a9f584d4ecc25c7871e2b8477ab9c28e3661bc0cdcd979d29
- Size of remote file:
- 40.8 kB
- SHA256:
- 7c7e175e44486246c87b1c1d67d0065a63e67b52c89f3af92d05dd26f3a59a0e
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