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/0015.png from GaumlessGraham/Inner1730_10Real: direct link, hf CLI and curl.
- Browser
- Download file 23.5 kB
-
https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0015.png
- Command line
-
hf download hf://GaumlessGraham/Inner1730_10Real/samples_generated/0015.png
-
curl -L -o 0015.png https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0015.png
23.5 kB

- Xet hash:
- e27aeb51fc5bd4e5f5d2598fa80263ec3e7b2b351477534d74b0337b65edbfdc
- Size of remote file:
- 23.5 kB
- SHA256:
- c07c01455e94a4387b262b0a24f3e66874ec95052d7c8c746ddaaf4b6d6e10e9
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