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/0014.png from GaumlessGraham/Inner1730_10Real: direct link, hf CLI and curl.
- Browser
- Download file 22.7 kB
-
https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0014.png
- Command line
-
hf download hf://GaumlessGraham/Inner1730_10Real/samples_generated/0014.png
-
curl -L -o 0014.png https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0014.png
22.7 kB

- Xet hash:
- 4ac509ee3a774f88f560519cd302d8ee32f0d48cf6fbef8cdc0706ebab1f93d2
- Size of remote file:
- 22.7 kB
- SHA256:
- cd07540f872d7a65c55fd44ed024e7e0be91c66dbf7a442796332cd30449f3b6
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