Instructions to use EnD-Diffusers/ani-backgrounds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/ani-backgrounds with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/ani-backgrounds", dtype=torch.bfloat16, device_map="cuda") prompt = "BgAniDusk" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- f303913459df1db46ed0a616aa213fbd71f90c6d88e1fdf0e84346c0b369f47b
- Size of remote file:
- 492 MB
- SHA256:
- cc4b76872cb9ec5b4a0ce295b3286969ff9383a3d6629864c8ad291dc2f30726
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.