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ypyp
/
wan2.1_i2v_720p

Diffusers
Safetensors
WanI2VPipeline
Model card Files Files and versions
xet
Community

Instructions to use ypyp/wan2.1_i2v_720p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ypyp/wan2.1_i2v_720p with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ypyp/wan2.1_i2v_720p", 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_i2v_720p / transformer
65.6 GB
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  • 2 contributors
History: 1 commit
sypyp
init upload
3b928bb over 1 year ago
  • config.json
    460 Bytes
    init upload over 1 year ago
  • diffusion_pytorch_model-00001-of-00007.safetensors
    9.95 GB
    xet
    init upload over 1 year ago
  • diffusion_pytorch_model-00002-of-00007.safetensors
    9.8 GB
    xet
    init upload over 1 year ago
  • diffusion_pytorch_model-00003-of-00007.safetensors
    9.98 GB
    xet
    init upload over 1 year ago
  • diffusion_pytorch_model-00004-of-00007.safetensors
    9.98 GB
    xet
    init upload over 1 year ago
  • diffusion_pytorch_model-00005-of-00007.safetensors
    9.9 GB
    xet
    init upload over 1 year ago
  • diffusion_pytorch_model-00006-of-00007.safetensors
    9.9 GB
    xet
    init upload over 1 year ago
  • diffusion_pytorch_model-00007-of-00007.safetensors
    6.08 GB
    xet
    init upload over 1 year ago
  • diffusion_pytorch_model.safetensors.index.json
    119 kB
    init upload over 1 year ago