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 text_encoder/pytorch_model.bin from undeleted/aniplus-v1: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/undeleted/aniplus-v1/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://undeleted/aniplus-v1@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/undeleted/aniplus-v1/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 433f5715a97590ad09a8feb67bf6075b32bb501aeec2e5e6661b0ec8f60a8a53
- Size of remote file:
- 492 MB
- SHA256:
- 9c4aa95ff526e8b2750631192fff2a56012b7ffe30fd733abeb15366e6dc2a5e
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