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vantagewithai
/
Magic-Wan-Image-V2-GGUF

Text-to-Image
Diffusers
GGUF
English
wan
image
generation
generative
aquif
14b
wan-2.2
Model card Files Files and versions
xet
Community
1

Instructions to use vantagewithai/Magic-Wan-Image-V2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use vantagewithai/Magic-Wan-Image-V2-GGUF with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("vantagewithai/Magic-Wan-Image-V2-GGUF", 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
  • Local Apps
  • Draw Things
  • DiffusionBee
Magic-Wan-Image-V2-GGUF
139 GB
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  • 1 contributor
History: 52 commits
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vantagewithai
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  • Magic-Wan-Image-V2-Q2_K.gguf
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  • Magic-Wan-Image-V2-Q5_0.gguf
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  • README.md
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  • Vantage-Magic-Wan-Image-V2-Upscaler.json
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