Instructions to use vdo/animov-512x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vdo/animov-512x with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vdo/animov-512x", 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:
- bab2cdebf5c46c9c72603cc9f160f8bd50daac03689afb923840362481b3eca2
- Size of remote file:
- 167 MB
- SHA256:
- cb475c1672d6273bafae618c8de499f383476fc692795c9d0abc97c6b87f1058
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