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TIGER-Lab
/
ConsistI2V

Diffusers
Safetensors
ConditionalAnimationPipeline
video-generation
image-to-video-generation
Model card Files Files and versions
xet
Community

Instructions to use TIGER-Lab/ConsistI2V with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use TIGER-Lab/ConsistI2V with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("TIGER-Lab/ConsistI2V", 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
ConsistI2V
6.7 GB
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  • 1 contributor
History: 5 commits
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wren93
Update README.md
1e6adf2 verified about 2 years ago
  • scheduler
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  • .gitattributes
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  • README.md
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  • model_index.json
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