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.process_manager import set_process_state, is_processing, is_stopping, is_pending, start, stop, end | |
| def test_start() -> None: | |
| set_process_state('pending') | |
| start() | |
| assert is_processing() | |
| def test_stop() -> None: | |
| set_process_state('processing') | |
| stop() | |
| assert is_stopping() | |
| def test_end() -> None: | |
| set_process_state('processing') | |
| end() | |
| assert is_pending() | |