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IntMeGroup
/
Lavie_pretrained_models

Text-to-Video
Diffusers
Safetensors
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use IntMeGroup/Lavie_pretrained_models with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("IntMeGroup/Lavie_pretrained_models", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
Lavie_pretrained_models
50.9 GB
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  • 1 contributor
History: 2 commits
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IntMeGroup
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e250a24 verified 9 months ago
  • stable-diffusion-v1-4
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  • stable-diffusion-x4-upscaler
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  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    29 Bytes
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  • lavie_base.pt

    Detected Pickle imports (3)

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

    What is a pickle import?

    3.64 GB
    xet
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  • lavie_interpolation.pt
    3.64 GB
    xet
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  • lavie_vsr.pt

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.76 GB
    xet
    Upload folder using huggingface_hub 9 months ago
  • put_pre-trained_weights_here.txt
    29 Bytes
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