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:
- 7cbf32986fe371126ead3da5995e23f0a5480aa3bce297a769eaff39b8632020
- Size of remote file:
- 6.88 GB
- SHA256:
- d399042fd56d8b8a7ee789916d4d3d4904fdb15c47370d48744a3858a5f1e66a
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