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", torch_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:
- 4d98545a9f21d778463bf331c9f65e749016eae9893d3bc114948be8dfd0fada
- Size of remote file:
- 377 MB
- SHA256:
- 9aa48fc4b21224d85784c9a58885201284ec8e590b988126db2c07495b421d36
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