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
- Xet hash:
- 4f27cd9b9ef991ba496855b8105934fa70e4f9beea9014e69a0daebeaac40090
- Size of remote file:
- 3.44 GB
- SHA256:
- 36a7d337d7ab3797fbae8900630f196d1874d353df8bc4cb2d25c0c4afde5118
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