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/0036.png from GaumlessGraham/Inner1730_10Real: direct link, hf CLI and curl.
- Browser
- Download file 26.9 kB
-
https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0036.png
- Command line
-
hf download hf://GaumlessGraham/Inner1730_10Real/samples_generated/0036.png
-
curl -L -o 0036.png https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/samples_generated/0036.png
26.9 kB

- Xet hash:
- bf663d719355e5d1b1ecada37a51c8328dfa02a0f3bfd80e6f4c913ef1b8bbb1
- Size of remote file:
- 26.9 kB
- SHA256:
- 2d0cd053acc66e380e7af7fe5abf9c1262f68d7fd54bd10cfccbbc9625e6833d
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