Instructions to use undeleted/aniplus-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use undeleted/aniplus-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undeleted/aniplus-v1", 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 _assets/sample04.png from undeleted/aniplus-v1: direct link, hf CLI and curl.
- Browser
- Download file 754 kB
-
https://huggingface.co/undeleted/aniplus-v1/resolve/main/_assets/sample04.png
- Command line
-
hf download hf://undeleted/aniplus-v1/_assets/sample04.png
-
curl -L -o sample04.png https://huggingface.co/undeleted/aniplus-v1/resolve/main/_assets/sample04.png
754 kB

- Xet hash:
- 095aefbf388224337d17c6b27662a8712b8ff671c20b91066527c887db3d3a6e
- Size of remote file:
- 754 kB
- SHA256:
- b72c6757a2ebfc11a09038fe1dd89607d9d270996fd8d219ae0735c73d5edb3b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.