Instructions to use Alignment-Lab-AI/Vid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alignment-Lab-AI/Vid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Alignment-Lab-AI/Vid", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a69e9b10c5931925553158d5659d5e9e15b05c4d3a8679622adcce3cfdc03f2
- Size of remote file:
- 524 MB
- SHA256:
- 92ee7c34a06007da23e83c9c2db1ea74344d95a3b8baa6a3a1d18a0aa20a39b8
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