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memescreamer
/
Wan2.2-Lightning

Text-to-Video
Diffusers
Safetensors
English
text-to-video;
image-to-video;
comfyUI;
video-generation;
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use memescreamer/Wan2.2-Lightning with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("memescreamer/Wan2.2-Lightning", 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-Lightning
42.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
bodhisativa's picture
bodhisativa
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7e85404 verified 2 months ago
  • Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1
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  • Wan2.2-T2V-A14B-4steps-250928-dyno
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  • Wan2.2-T2V-A14B-4steps-lora-250928
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  • Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1
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  • Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1
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  • Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V2.0
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  • .gitattributes
    1.92 kB
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  • README.md
    19.6 kB
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