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lopho
/
Wan2.2-T2V-A14B-Diffusers_nf4

Text-to-Video
Diffusers
Safetensors
English
Chinese
WanPipeline
4-bit precision
nf4
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use lopho/Wan2.2-T2V-A14B-Diffusers_nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use lopho/Wan2.2-T2V-A14B-Diffusers_nf4 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("lopho/Wan2.2-T2V-A14B-Diffusers_nf4", 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
Wan2.2-T2V-A14B-Diffusers_nf4 / text_encoder
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  • 1 contributor
History: 3 commits
lopho's picture
lopho
Update text_encoder/config.json
0c53223 verified 10 months ago
  • config.json
    1.26 kB
    Update text_encoder/config.json 10 months ago
  • model.safetensors
    8 GB
    xet
    Upload text_encoder/model.safetensors with huggingface_hub 10 months ago