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JeremiahLS
/
Wan2.2-T2V

Diffusers
Safetensors
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use JeremiahLS/Wan2.2-T2V with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("JeremiahLS/Wan2.2-T2V", torch_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
35.6 GB
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  • 1 contributor
History: 2 commits
JeremiahLS's picture
JeremiahLS
Upload attempt
515c119 verified about 1 year ago
  • .ipynb_checkpoints
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  • umt5_xxl_fp8_e4m3fn_scaled
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  • wan2.1_vae
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  • wan2.2_t2v_high_noise_14B_fp8_scaled
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  • wan2.2_t2v_low_noise_14B_fp8_scaled
    Upload attempt about 1 year ago
  • wan2.2_tokenizer
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  • .gitattributes
    310 Bytes
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  • genIndex.py
    432 Bytes
    Upload attempt about 1 year ago