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:
- 109d97c2f44dfaac487f82da8f4abd9c8ba1affef6d54d21f500cb2147919acf
- Size of remote file:
- 2.82 GB
- SHA256:
- 7fe3a5e24d586eb9421a85aef53b6888abc3db0e776a6c436b2e9d9565e5ce8e
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