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MagistrTheOne
/
ARACHNE-X-ULTRA-VIDEO

Text-to-Video
Diffusers
Safetensors
Transformers
English
Chinese
image-to-video
video-continuation
Model card Files Files and versions
xet
Community

Instructions to use MagistrTheOne/ARACHNE-X-ULTRA-VIDEO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use MagistrTheOne/ARACHNE-X-ULTRA-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("MagistrTheOne/ARACHNE-X-ULTRA-VIDEO", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Transformers

    How to use MagistrTheOne/ARACHNE-X-ULTRA-VIDEO with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MagistrTheOne/ARACHNE-X-ULTRA-VIDEO", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ARACHNE-X-ULTRA-VIDEO / dit
54.3 GB
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  • 1 contributor
History: 1 commit
MagistrTheOne's picture
MagistrTheOne
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9f7d910 verified 4 months ago
  • config.json
    593 Bytes
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  • diffusion_pytorch_model-00001-of-00006.safetensors
    9.93 GB
    xet
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  • diffusion_pytorch_model-00002-of-00006.safetensors
    9.98 GB
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  • diffusion_pytorch_model-00003-of-00006.safetensors
    9.96 GB
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  • diffusion_pytorch_model-00004-of-00006.safetensors
    9.82 GB
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  • diffusion_pytorch_model-00005-of-00006.safetensors
    9.93 GB
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  • diffusion_pytorch_model-00006-of-00006.safetensors
    4.71 GB
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  • diffusion_pytorch_model.safetensors.index.json
    93.8 kB
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