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 checkpoint-2000/optimizer.bin from leemeng/danbooru_small: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/leemeng/danbooru_small/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://leemeng/danbooru_small/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/leemeng/danbooru_small/resolve/main/checkpoint-2000/optimizer.bin
6.88 GB
- Xet hash:
- 24e837ea65e35724dae973c6108199bff9c33048759f605a5ce568fa7f9cbef2
- Size of remote file:
- 6.88 GB
- SHA256:
- fb83f084325b96c9bcf2b19ba1b998efab7557dea3633a48f1cee2a4e68d99db
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