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Mademon
/
centa_wan-lora

Text-to-Video
Diffusers
lora
template:sd-lora
ai-toolkit
Model card Files Files and versions
xet
Community

Instructions to use Mademon/centa_wan-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Mademon/centa_wan-lora with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import export_to_video
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Mademon/centa_wan-lora")
    
    prompt = "A man with short gray hair plays a red electric guitar."
    
    output = pipe(prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
centa_wan-lora
2.45 GB
Ctrl+K
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  • 1 contributor
History: 10 commits
Mademon's picture
Mademon
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  • centa_wan_000001250_high_noise.safetensors
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  • centa_wan_000001250_low_noise.safetensors
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  • centa_wan_000001500_low_noise.safetensors
    307 MB
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  • centa_wan_000001750_high_noise.safetensors
    307 MB
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  • centa_wan_000001750_low_noise.safetensors
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  • centa_wan_high_noise.safetensors
    307 MB
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  • centa_wan_low_noise.safetensors
    307 MB
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