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
| from facefusion.common_helper import is_linux, is_macos | |
| from facefusion.memory import limit_system_memory | |
| def test_limit_system_memory() -> None: | |
| assert limit_system_memory(4) is True | |
| if is_linux() or is_macos(): | |
| assert limit_system_memory(1024) is False | |