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AlayaLab
/
AlayaWorld

Image-to-Video
Diffusers
AlayaWorldPipeline
video-generation
world-model
autoregressive
Model card Files Files and versions
xet
Community
1

Instructions to use AlayaLab/AlayaWorld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AlayaLab/AlayaWorld 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("AlayaLab/AlayaWorld", 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
AlayaWorld
33.6 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
ChuanhaoLi's picture
ChuanhaoLi
Add pipeline index (download stats query file)
e5b374e verified 11 days ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1.87 kB
    update about 1 month ago
  • merged_infer.safetensors
    33.6 GB
    xet
    Add merged_infer.safetensors (DiT + VAE + text-encoder + history-encoder bundle) about 2 months ago
  • model_index.json
    297 Bytes
    Add pipeline index (download stats query file) 11 days ago
  • modular_model_index.json
    297 Bytes
    Add pipeline index (download stats query file) 11 days ago