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PLAN-Lab
/
GraphVid

Image-to-Video
Diffusers
Safetensors
English
video-generation
controllable-generation
graph-conditioning
computer-vision
Model card Files Files and versions
xet
Community

Instructions to use PLAN-Lab/GraphVid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use PLAN-Lab/GraphVid 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("PLAN-Lab/GraphVid", 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
GraphVid / gvc_ckpt_folder
64.3 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
VedantShah's picture
VedantShah
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • transformer
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  • .gitattributes
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  • graph.pth

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    118 MB
    xet
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  • model_index.json
    470 Bytes
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