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
File size: 386 Bytes
fd0683b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | 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()
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