Instructions to use codingggasdfasf/video-animator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codingggasdfasf/video-animator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("codingggasdfasf/video-animator", 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:
- 72ba120ee4f5802ee7e69886af10982ecf34a43d072fd702af6c6ceb25c29bcc
- Size of remote file:
- 604 MB
- SHA256:
- 70daeb4b1fd10f241043b587d892a941f2651d7322db02f06ff64b166537f65c
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