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AsadIsmail
/
Wan2.2-TI2V-5B-ternary

Text-to-Video
Diffusers
Safetensors
Wan2.2
English
WanPipeline
ternary-quant
quantization
ternary
video-generation
image-to-video
dit
wan
Model card Files Files and versions
xet
Community
1

Instructions to use AsadIsmail/Wan2.2-TI2V-5B-ternary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AsadIsmail/Wan2.2-TI2V-5B-ternary with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("AsadIsmail/Wan2.2-TI2V-5B-ternary", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Wan2.2

    How to use AsadIsmail/Wan2.2-TI2V-5B-ternary with Wan2.2:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
Wan2.2-TI2V-5B-ternary / vae
1.41 GB
Ctrl+K
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  • 1 contributor
History: 1 commit
AsadIsmail's picture
AsadIsmail
Add files using upload-large-folder tool
af90f97 verified 6 months ago
  • config.json
    1.86 kB
    Add files using upload-large-folder tool 6 months ago
  • diffusion_pytorch_model.safetensors
    1.41 GB
    xet
    Add files using upload-large-folder tool 6 months ago