Instructions to use AdamOswald1/Anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AdamOswald1/Anime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AdamOswald1/Anime", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download showcase_dataset.jpg from AdamOswald1/Anime: direct link, hf CLI and curl.
- Browser
- Download file 131 Bytes
-
https://huggingface.co/AdamOswald1/Anime/resolve/main/showcase_dataset.jpg
- Command line
-
hf download hf://AdamOswald1/Anime/showcase_dataset.jpg
-
curl -L -o showcase_dataset.jpg https://huggingface.co/AdamOswald1/Anime/resolve/main/showcase_dataset.jpg
131 Bytes

- Xet hash:
- 5c826c6610bc37a51c8daa6d8f7b40611e3877cc919b4ef497ac0d493ab6199f
- Size of remote file:
- 131 Bytes
- SHA256:
- c2d658eb62b934b6a4e069924697b01299224b69d229ab9ab5867479cf7a8e91
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