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:
- 66fc82c9e93eb5801a0f0e4ba8e6d6bfd95988f3372af6d439181bb3c6a03032
- Size of remote file:
- 132 Bytes
- SHA256:
- af8e94d5b9823791bac54734975ea53f389c6b7aee5587a2bb58af1da0412161
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