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wavespeed
/
Wan2.1-T2V-14B-Diffusers-fp16-nf4

Diffusers
WanPipeline
Model card Files Files and versions
xet
Community
2

Instructions to use wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-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("wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-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
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Adding `safetensors` variant of this model

#2 opened 10 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened 10 months ago by
SFconvertbot
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