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ali-vilab
/
i2vgen-xl

Text-to-Video
Diffusers
Safetensors
I2VGenXLPipeline
image-to-video
Model card Files Files and versions
xet
Community
15

Instructions to use ali-vilab/i2vgen-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ali-vilab/i2vgen-xl with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ali-vilab/i2vgen-xl", 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
i2vgen-xl
29.8 GB
Ctrl+K
Ctrl+K
  • 7 contributors
History: 10 commits
wenmengzhou's picture
wenmengzhou
sayakpaul's picture
sayakpaul HF Staff
Update config.json of UNet to include `attention_head_dim` (#12)
39e1979 verified over 2 years ago
  • doc
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  • feature_extractor
    Add diffusers checkpoints (#5) over 2 years ago
  • image_encoder
    Update with fp16 variants (#8) over 2 years ago
  • models
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  • scheduler
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  • source
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  • text_encoder
    Update with fp16 variants (#8) over 2 years ago
  • tokenizer
    Add diffusers checkpoints (#5) over 2 years ago
  • unet
    Update config.json of UNet to include `attention_head_dim` (#12) over 2 years ago
  • vae
    Update with fp16 variants (#8) over 2 years ago
  • .gitattributes
    1.64 kB
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  • README.MD
    12.9 kB
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  • README.md
    14.2 kB
    Update README to include the diffusers integration (#6) over 2 years ago
  • README_diffusers.md
    14.3 kB
    Add diffusers checkpoints (#5) over 2 years ago
  • model_index.json
    555 Bytes
    Update with fp16 variants (#8) over 2 years ago