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kandinskylab
/
Kandinsky-WM-1.0-I2V-5s-RO

Image-to-Video
Diffusers
Safetensors
Kandinsky5I2VPipeline
kandinsky
physical-ai
world-model
Model card Files Files and versions
xet
Community

Instructions to use kandinskylab/Kandinsky-WM-1.0-I2V-5s-RO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use kandinskylab/Kandinsky-WM-1.0-I2V-5s-RO 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("kandinskylab/Kandinsky-WM-1.0-I2V-5s-RO", 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
Kandinsky-WM-1.0-I2V-5s-RO / vae
986 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
sashakunitsyn's picture
sashakunitsyn
Kandinsky WM 1.0 β€” initial release
0fdc7ef 16 days ago
  • config.json
    718 Bytes
    Kandinsky WM 1.0 β€” initial release 16 days ago
  • diffusion_pytorch_model.safetensors
    986 MB
    xet
    Kandinsky WM 1.0 β€” initial release 16 days ago