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:
- 50551414b660b4627eecc4a995f8531fcbeae35c044b839334fcd712533dff92
- Size of remote file:
- 681 MB
- SHA256:
- 94235756945010525e5bd053201af03c4e349621d03e9f8dd0cad80bf5b17e16
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