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EsilaAycill
/
ninja-creatv2

Text-to-Image
Diffusers
English
stable-diffuion
lora
stable-diffusion-diffusers
Model card Files Files and versions
xet
Community

Instructions to use EsilaAycill/ninja-creatv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use EsilaAycill/ninja-creatv2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("EsilaAycill/ninja-creatv2")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
ninja-creatv2
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  • 1 contributor
History: 14 commits
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EsilaAycill
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