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AsadIsmail
/
Wan2.1-T2V-1.3B-ternary

Text-to-Video
Diffusers
Safetensors
English
WanPipeline
ternary-quant
quantization
ternary
video-generation
dit
wan
wan2.1
Model card Files Files and versions
xet
Community

Instructions to use AsadIsmail/Wan2.1-T2V-1.3B-ternary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AsadIsmail/Wan2.1-T2V-1.3B-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/Wan2.1-T2V-1.3B-ternary", 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
Wan2.1-T2V-1.3B-ternary
25.8 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
AsadIsmail's picture
AsadIsmail
Clarify FP16 storage / no ternary runtime for this model
20d2dc4 verified 3 months ago
  • scheduler
    Add files using upload-large-folder tool 6 months ago
  • text_encoder
    Add files using upload-large-folder tool 6 months ago
  • tokenizer
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  • transformer
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  • vae
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  • .gitattributes
    1.58 kB
    Add files using upload-large-folder tool 6 months ago
  • README.md
    2.64 kB
    Clarify FP16 storage / no ternary runtime for this model 3 months ago
  • model_index.json
    545 Bytes
    Upload model_index.json with huggingface_hub 6 months ago