Instructions to use hdae/diffusers-anima-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hdae/diffusers-anima-preview with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hdae/diffusers-anima-preview", 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
- Xet hash:
- feae231981193ddc5f7c1939c3cc084c0ae423187cf0b58ed5537e9246952d4a
- Size of remote file:
- 4.18 GB
- SHA256:
- 0d8430530cac2aecc0298200e5b99726ff82624d71923c7340c04c7c9d11b843
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.