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craftcore
/
video

Diffusers
Safetensors
GGUF
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use craftcore/video with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("craftcore/video", 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
video / Wan2.2-T2V-A14B
157 GB
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  • 1 contributor
History: 1 commit
craftcore's picture
craftcore
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2341368 verified 11 months ago
  • assets
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  • google
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  • high_noise_model
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  • low_noise_model
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  • Wan2.1_VAE.pth

    Detected Pickle imports (3)

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

    What is a pickle import?

    508 MB
    xet
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  • configuration.json
    47 Bytes
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  • models_t5_umt5-xxl-enc-bf16.pth

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.BFloat16Storage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    11.4 GB
    xet
    Upload folder using huggingface_hub 11 months ago
  • nohup.out
    939 kB
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  • wan2.2_t2v_high_noise_14B_Q8_0.gguf
    15.4 GB
    xet
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  • wan2.2_t2v_low_noise_14B_Q8_0.gguf
    15.4 GB
    xet
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