Instructions to use GaumlessGraham/Ball1730_10Real with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GaumlessGraham/Ball1730_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/Ball1730_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/0010.png from GaumlessGraham/Ball1730_10Real: direct link, hf CLI and curl.
- Browser
- Download file 19.7 kB
-
https://huggingface.co/GaumlessGraham/Ball1730_10Real/resolve/main/samples_generated/0010.png
- Command line
-
hf download hf://GaumlessGraham/Ball1730_10Real/samples_generated/0010.png
-
curl -L -o 0010.png https://huggingface.co/GaumlessGraham/Ball1730_10Real/resolve/main/samples_generated/0010.png
19.7 kB

- Xet hash:
- d73319f1963e8ff08a48364a35b9236141d715e01ae24d4253884f3feb62e926
- Size of remote file:
- 19.7 kB
- SHA256:
- b45fed9baa9c7c90f13db95a983217506981408f96370d80dab71f9cfb1990a7
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