Instructions to use leemeng/danbooru_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leemeng/danbooru_small with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("leemeng/danbooru_small", 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/step=001450.png from leemeng/danbooru_small: direct link, hf CLI and curl.
- Browser
- Download file 4.55 MB
-
https://huggingface.co/leemeng/danbooru_small/resolve/main/samples/step%3D001450.png
- Command line
-
hf download hf://leemeng/danbooru_small/samples/step=001450.png
-
curl -L -o step=001450.png https://huggingface.co/leemeng/danbooru_small/resolve/main/samples/step%3D001450.png
4.55 MB

- Xet hash:
- 16de4c8077468e36ed1820dbdefa211d0cea54caaefd88027645f681b2189cba
- Size of remote file:
- 4.55 MB
- SHA256:
- 719ca641da933b2b97fa5268946f04024db2c59e7b3419a92c02e9a5678dd481
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